2022-09-12 03:58:14,773 - mmseg - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.7.0 (default, Oct 9 2018, 10:31:47) [GCC 7.3.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB CUDA_HOME: /mnt/lustre/share/cuda-11.1 NVCC: Build cuda_11.1.TC455_06.29069683_0 GCC: gcc (GCC) 7.3.0 PyTorch: 1.9.0+cu111 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.1 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.0.5 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, TorchVision: 0.10.0+cu111 OpenCV: 4.6.0 MMCV: 1.4.2 MMCV Compiler: GCC 7.3 MMCV CUDA Compiler: 11.1 MMSegmentation: 0.21.0+abdbbac ------------------------------------------------------------ 2022-09-12 03:58:14,773 - mmseg - INFO - Distributed training: True 2022-09-12 03:58:15,640 - 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/beitv2_large_patch16_224_pt1k_ft21k.pth', backbone=dict( type='BEiTAdapter', patch_size=16, embed_dim=1024, depth=24, num_heads=16, mlp_ratio=4, qkv_bias=True, use_abs_pos_emb=False, use_rel_pos_bias=True, img_size=896, init_values=1e-06, drop_path_rate=0.3, conv_inplane=64, n_points=4, deform_num_heads=16, cffn_ratio=0.25, deform_ratio=0.5, with_cp=True, interaction_indexes=[[0, 5], [6, 11], [12, 17], [18, 23]]), decode_head=dict( type='Mask2FormerHead', in_channels=[1024, 1024, 1024, 1024], feat_channels=1024, out_channels=1024, in_index=[0, 1, 2, 3], num_things_classes=80, num_stuff_classes=91, num_queries=200, num_transformer_feat_level=3, pixel_decoder=dict( type='MSDeformAttnPixelDecoder', num_outs=3, norm_cfg=dict(type='GN', num_groups=32), act_cfg=dict(type='ReLU'), encoder=dict( type='DetrTransformerEncoder', num_layers=6, transformerlayers=dict( type='BaseTransformerLayer', attn_cfgs=dict( type='MultiScaleDeformableAttention', embed_dims=1024, num_heads=32, num_levels=3, num_points=4, im2col_step=64, dropout=0.0, batch_first=False, norm_cfg=None, init_cfg=None), ffn_cfgs=dict( type='FFN', embed_dims=1024, feedforward_channels=4096, num_fcs=2, ffn_drop=0.0, act_cfg=dict(type='ReLU', inplace=True), with_cp=True), operation_order=('self_attn', 'norm', 'ffn', 'norm')), init_cfg=None), positional_encoding=dict( type='SinePositionalEncoding', num_feats=512, normalize=True), init_cfg=None), enforce_decoder_input_project=False, positional_encoding=dict( type='SinePositionalEncoding', num_feats=512, normalize=True), transformer_decoder=dict( type='DetrTransformerDecoder', return_intermediate=True, num_layers=9, transformerlayers=dict( type='DetrTransformerDecoderLayer', attn_cfgs=dict( type='MultiheadAttention', embed_dims=1024, num_heads=32, attn_drop=0.0, proj_drop=0.0, dropout_layer=None, batch_first=False), ffn_cfgs=dict( embed_dims=1024, feedforward_channels=4096, num_fcs=2, act_cfg=dict(type='ReLU', inplace=True), ffn_drop=0.0, dropout_layer=None, add_identity=True, with_cp=True), feedforward_channels=4096, operation_order=('cross_attn', 'norm', 'self_attn', 'norm', 'ffn', 'norm')), init_cfg=None), loss_cls=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=2.0, reduction='mean', class_weight=[ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.1 ]), loss_mask=dict( type='CrossEntropyLoss', use_sigmoid=True, reduction='mean', loss_weight=5.0), loss_dice=dict( type='DiceLoss', use_sigmoid=True, activate=True, reduction='mean', naive_dice=True, eps=1.0, loss_weight=5.0)), train_cfg=dict( num_points=12544, oversample_ratio=3.0, importance_sample_ratio=0.75, assigner=dict( type='MaskHungarianAssigner', cls_cost=dict(type='ClassificationCost', weight=2.0), mask_cost=dict( type='CrossEntropyLossCost', weight=5.0, use_sigmoid=True), dice_cost=dict( type='DiceCost', weight=5.0, pred_act=True, eps=1.0)), sampler=dict(type='MaskPseudoSampler')), test_cfg=dict( panoptic_on=True, semantic_on=False, instance_on=True, max_per_image=100, iou_thr=0.8, filter_low_score=True, mode='slide', crop_size=(896, 896), stride=(512, 512)), init_cfg=None) dataset_type = 'COCOStuffDataset' data_root = 'data/coco_stuff164k' img_norm_cfg = dict( mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) crop_size = (896, 896) train_pipeline = [ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations'), dict(type='Resize', img_scale=(3584, 896), ratio_range=(0.5, 2.0)), dict(type='RandomCrop', crop_size=(896, 896), cat_max_ratio=0.75), dict(type='RandomFlip', prob=0.5), dict(type='PhotoMetricDistortion'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size=(896, 896), pad_val=0, seg_pad_val=255), dict(type='ToMask'), dict(type='DefaultFormatBundle'), dict( type='Collect', keys=['img', 'gt_semantic_seg', 'gt_masks', 'gt_labels']) ] test_pipeline = [ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(3584, 896), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='ResizeToMultiple', size_divisor=32), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ] data = dict( samples_per_gpu=1, workers_per_gpu=4, train=dict( type='COCOStuffDataset', data_root='data/coco_stuff164k', img_dir='images/train2017', ann_dir='annotations/train2017', pipeline=[ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations'), dict(type='Resize', img_scale=(3584, 896), ratio_range=(0.5, 2.0)), dict(type='RandomCrop', crop_size=(896, 896), cat_max_ratio=0.75), dict(type='RandomFlip', prob=0.5), dict(type='PhotoMetricDistortion'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size=(896, 896), pad_val=0, seg_pad_val=255), dict(type='ToMask'), dict(type='DefaultFormatBundle'), dict( type='Collect', keys=['img', 'gt_semantic_seg', 'gt_masks', 'gt_labels']) ]), val=dict( type='COCOStuffDataset', data_root='data/coco_stuff164k', img_dir='images/val2017', ann_dir='annotations/val2017', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(3584, 896), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='ResizeToMultiple', size_divisor=32), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ]), test=dict( type='COCOStuffDataset', data_root='data/coco_stuff164k', img_dir='images/val2017', ann_dir='annotations/val2017', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(3584, 896), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='ResizeToMultiple', size_divisor=32), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ])) log_config = dict( interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) dist_params = dict(backend='nccl') log_level = 'INFO' load_from = None resume_from = None workflow = [('train', 1)] cudnn_benchmark = True optimizer = dict( type='AdamW', lr=2e-05, betas=(0.9, 0.999), weight_decay=0.05, constructor='LayerDecayOptimizerConstructor', paramwise_cfg=dict(num_layers=24, layer_decay_rate=0.9)) optimizer_config = dict() lr_config = dict( policy='poly', warmup='linear', warmup_iters=1500, warmup_ratio=1e-06, power=1.0, min_lr=0.0, by_epoch=False) runner = dict(type='IterBasedRunner', max_iters=80000) checkpoint_config = dict(by_epoch=False, interval=1000, max_keep_ckpts=1) evaluation = dict( interval=8000, metric='mIoU', pre_eval=True, save_best='mIoU') pretrained = 'pretrained/beitv2_large_patch16_224_pt1k_ft21k.pth' work_dir = './work_dirs/mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss' gpu_ids = range(0, 16) auto_resume = False 2022-09-12 03:58:24,094 - mmseg - INFO - Set random seed to 902718077, deterministic: False 2022-09-12 03:58:59,357 - mmseg - WARNING - The model and loaded state dict do not match exactly unexpected key in source state_dict: fc_norm.weight, fc_norm.bias, head.weight, head.bias missing keys in source state_dict: blocks.0.attn.relative_position_index, blocks.1.attn.relative_position_index, blocks.2.attn.relative_position_index, blocks.3.attn.relative_position_index, blocks.4.attn.relative_position_index, blocks.5.attn.relative_position_index, blocks.6.attn.relative_position_index, blocks.7.attn.relative_position_index, blocks.8.attn.relative_position_index, blocks.9.attn.relative_position_index, blocks.10.attn.relative_position_index, blocks.11.attn.relative_position_index, blocks.12.attn.relative_position_index, blocks.13.attn.relative_position_index, blocks.14.attn.relative_position_index, blocks.15.attn.relative_position_index, blocks.16.attn.relative_position_index, blocks.17.attn.relative_position_index, blocks.18.attn.relative_position_index, blocks.19.attn.relative_position_index, blocks.20.attn.relative_position_index, blocks.21.attn.relative_position_index, blocks.22.attn.relative_position_index, blocks.23.attn.relative_position_index Name of parameter - Initialization information backbone.cls_token - torch.Size([1, 1, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.level_embed - torch.Size([3, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.patch_embed.proj.weight - torch.Size([1024, 3, 16, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.patch_embed.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.0.weight - torch.Size([64, 3, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.3.weight - torch.Size([64, 64, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.4.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.4.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.6.weight - torch.Size([64, 64, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.7.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.7.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv2.0.weight - torch.Size([128, 64, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv2.1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv2.1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv3.0.weight - torch.Size([256, 128, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv3.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv3.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv4.0.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv4.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv4.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.fc1.weight - torch.Size([1024, 64, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.fc1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.fc2.weight - torch.Size([1024, 128, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.fc3.weight - torch.Size([1024, 256, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.fc3.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.fc4.weight - torch.Size([1024, 256, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.fc4.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.attn.sampling_offsets.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.attn.sampling_offsets.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.attn.attention_weights.weight - torch.Size([192, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.attn.attention_weights.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.attn.sampling_offsets.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.attn.sampling_offsets.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.attn.attention_weights.weight - torch.Size([192, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.attn.attention_weights.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.attn.sampling_offsets.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.attn.sampling_offsets.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.attn.attention_weights.weight - torch.Size([192, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.attn.attention_weights.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.attn.sampling_offsets.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.attn.sampling_offsets.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.attn.attention_weights.weight - torch.Size([192, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.attn.attention_weights.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.up.weight - torch.Size([1024, 1024, 2, 2]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.up.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.norm3.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.norm3.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.norm4.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.norm4.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.0.conv.weight - torch.Size([1024, 1024, 1, 1]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.input_convs.0.conv.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.0.gn.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.0.gn.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.1.conv.weight - torch.Size([1024, 1024, 1, 1]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.input_convs.1.conv.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.1.gn.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.1.gn.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.2.conv.weight - torch.Size([1024, 1024, 1, 1]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.input_convs.2.conv.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.2.gn.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.2.gn.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.attentions.0.sampling_offsets.weight - torch.Size([768, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.attentions.0.sampling_offsets.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.attentions.0.attention_weights.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.attentions.0.attention_weights.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.attentions.0.value_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.0.attentions.0.value_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.attentions.0.output_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.0.attentions.0.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.0.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.0.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.attentions.0.sampling_offsets.weight - torch.Size([768, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.attentions.0.sampling_offsets.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.attentions.0.attention_weights.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.attentions.0.attention_weights.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.attentions.0.value_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.1.attentions.0.value_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.attentions.0.output_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.1.attentions.0.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.1.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.1.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.attentions.0.sampling_offsets.weight - torch.Size([768, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.attentions.0.sampling_offsets.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.attentions.0.attention_weights.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.attentions.0.attention_weights.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.attentions.0.value_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.2.attentions.0.value_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.attentions.0.output_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.2.attentions.0.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.2.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.2.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.attentions.0.sampling_offsets.weight - torch.Size([768, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.attentions.0.sampling_offsets.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.attentions.0.attention_weights.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.attentions.0.attention_weights.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.attentions.0.value_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.3.attentions.0.value_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.attentions.0.output_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.3.attentions.0.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.3.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.3.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.attentions.0.sampling_offsets.weight - torch.Size([768, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.attentions.0.sampling_offsets.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.attentions.0.attention_weights.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.attentions.0.attention_weights.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.attentions.0.value_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.4.attentions.0.value_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.attentions.0.output_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.4.attentions.0.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.4.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.4.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.attentions.0.sampling_offsets.weight - torch.Size([768, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.attentions.0.sampling_offsets.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.attentions.0.attention_weights.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.attentions.0.attention_weights.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.attentions.0.value_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.5.attentions.0.value_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.attentions.0.output_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.5.attentions.0.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.5.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.5.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.level_encoding.weight - torch.Size([3, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.lateral_convs.0.conv.weight - torch.Size([1024, 1024, 1, 1]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.lateral_convs.0.gn.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.lateral_convs.0.gn.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.output_convs.0.conv.weight - torch.Size([1024, 1024, 3, 3]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.output_convs.0.gn.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.output_convs.0.gn.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.mask_feature.weight - torch.Size([1024, 1024, 1, 1]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.mask_feature.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.attentions.0.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.attentions.0.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.attentions.0.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.attentions.0.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.attentions.1.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.attentions.1.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.attentions.1.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.attentions.1.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.norms.2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.norms.2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.attentions.0.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.1.attentions.0.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.attentions.0.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.1.attentions.0.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.attentions.1.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.1.attentions.1.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.attentions.1.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.1.attentions.1.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.1.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.1.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.norms.2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.norms.2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.attentions.0.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.2.attentions.0.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.attentions.0.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.2.attentions.0.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.attentions.1.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.2.attentions.1.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.attentions.1.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.2.attentions.1.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.2.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.2.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.norms.2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.norms.2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.attentions.0.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.3.attentions.0.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.attentions.0.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.3.attentions.0.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.attentions.1.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.3.attentions.1.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.attentions.1.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.3.attentions.1.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.3.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.3.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.norms.2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.norms.2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.attentions.0.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.4.attentions.0.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.attentions.0.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.4.attentions.0.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.attentions.1.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.4.attentions.1.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.attentions.1.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.4.attentions.1.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.4.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.4.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.norms.2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.norms.2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.attentions.0.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.5.attentions.0.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.attentions.0.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.5.attentions.0.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.attentions.1.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.5.attentions.1.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.attentions.1.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.5.attentions.1.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.5.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.5.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.norms.2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.norms.2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.attentions.0.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.6.attentions.0.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.attentions.0.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.6.attentions.0.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.attentions.1.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.6.attentions.1.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.attentions.1.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.6.attentions.1.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.6.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.6.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.norms.2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.norms.2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.attentions.0.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.7.attentions.0.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.attentions.0.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.7.attentions.0.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.attentions.1.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.7.attentions.1.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.attentions.1.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.7.attentions.1.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.7.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.7.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.norms.2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.norms.2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.attentions.0.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.8.attentions.0.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.attentions.0.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.8.attentions.0.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.attentions.1.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.8.attentions.1.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.attentions.1.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.8.attentions.1.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.8.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.8.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.norms.2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.norms.2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.post_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.post_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.query_embed.weight - torch.Size([200, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.query_feat.weight - torch.Size([200, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.level_embed.weight - torch.Size([3, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.cls_embed.weight - torch.Size([172, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.cls_embed.bias - torch.Size([172]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.mask_embed.0.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.mask_embed.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.mask_embed.2.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.mask_embed.2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.mask_embed.4.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.mask_embed.4.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former 2022-09-12 03:59:31,258 - mmseg - INFO - EncoderDecoderMask2Former( (backbone): BEiTAdapter( (patch_embed): PatchEmbed( (proj): Conv2d(3, 1024, kernel_size=(16, 16), stride=(16, 16)) ) (pos_drop): Dropout(p=0.0, inplace=False) (blocks): ModuleList( (0): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (1): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.013043479062616825) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (2): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.02608695812523365) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (3): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.03913043811917305) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (4): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.0521739162504673) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (5): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.06521739810705185) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (6): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.0782608762383461) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (7): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.09130435436964035) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (8): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.1043478325009346) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (9): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.11739131063222885) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (10): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.1304347962141037) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (11): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.14347827434539795) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (12): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.1565217524766922) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (13): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.16956523060798645) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (14): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.1826087087392807) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (15): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.19565218687057495) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (16): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.2086956650018692) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (17): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.22173914313316345) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (18): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.2347826212644577) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (19): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.24782609939575195) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (20): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.260869562625885) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (21): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.27391305565834045) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (22): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.2869565188884735) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (23): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.30000001192092896) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) ) (spm): SpatialPriorModule( (stem): Sequential( (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (2): ReLU(inplace=True) (3): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (4): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (5): ReLU(inplace=True) (6): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (7): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (8): ReLU(inplace=True) (9): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False) ) (conv2): Sequential( (0): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (2): ReLU(inplace=True) ) (conv3): Sequential( (0): Conv2d(128, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (2): ReLU(inplace=True) ) (conv4): Sequential( (0): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (2): ReLU(inplace=True) ) (fc1): Conv2d(64, 1024, kernel_size=(1, 1), stride=(1, 1)) (fc2): Conv2d(128, 1024, kernel_size=(1, 1), stride=(1, 1)) (fc3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) (fc4): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) ) (interactions): Sequential( (0): InteractionBlockWithCls( (injector): Injector( (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=384, bias=True) (attention_weights): Linear(in_features=1024, out_features=192, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) ) (extractor): Extractor( (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=128, bias=True) (attention_weights): Linear(in_features=1024, out_features=64, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) (ffn): ConvFFN( (fc1): Linear(in_features=1024, out_features=256, bias=True) (dwconv): DWConv( (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) ) (act): GELU() (fc2): Linear(in_features=256, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (drop_path): DropPath() ) ) (1): InteractionBlockWithCls( (injector): Injector( (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=384, bias=True) (attention_weights): Linear(in_features=1024, out_features=192, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) ) (extractor): Extractor( (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=128, bias=True) (attention_weights): Linear(in_features=1024, out_features=64, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) (ffn): ConvFFN( (fc1): Linear(in_features=1024, out_features=256, bias=True) (dwconv): DWConv( (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) ) (act): GELU() (fc2): Linear(in_features=256, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (drop_path): DropPath() ) ) (2): InteractionBlockWithCls( (injector): Injector( (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=384, bias=True) (attention_weights): Linear(in_features=1024, out_features=192, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) ) (extractor): Extractor( (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=128, bias=True) (attention_weights): Linear(in_features=1024, out_features=64, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) (ffn): ConvFFN( (fc1): Linear(in_features=1024, out_features=256, bias=True) (dwconv): DWConv( (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) ) (act): GELU() (fc2): Linear(in_features=256, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (drop_path): DropPath() ) ) (3): InteractionBlockWithCls( (injector): Injector( (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=384, bias=True) (attention_weights): Linear(in_features=1024, out_features=192, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) ) (extractor): Extractor( (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=128, bias=True) (attention_weights): Linear(in_features=1024, out_features=64, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) (ffn): ConvFFN( (fc1): Linear(in_features=1024, out_features=256, bias=True) (dwconv): DWConv( (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) ) (act): GELU() (fc2): Linear(in_features=256, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (drop_path): DropPath() ) (extra_extractors): Sequential( (0): Extractor( (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=128, bias=True) (attention_weights): Linear(in_features=1024, out_features=64, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) (ffn): ConvFFN( (fc1): Linear(in_features=1024, out_features=256, bias=True) (dwconv): DWConv( (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) ) (act): GELU() (fc2): Linear(in_features=256, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (drop_path): DropPath() ) (1): Extractor( (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=128, bias=True) (attention_weights): Linear(in_features=1024, out_features=64, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) (ffn): ConvFFN( (fc1): Linear(in_features=1024, out_features=256, bias=True) (dwconv): DWConv( (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) ) (act): GELU() (fc2): Linear(in_features=256, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (drop_path): DropPath() ) ) ) ) (up): ConvTranspose2d(1024, 1024, kernel_size=(2, 2), stride=(2, 2)) (norm1): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (norm2): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (norm3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (norm4): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (decode_head): Mask2FormerHead( input_transform=multiple_select, ignore_index=255, align_corners=False (loss_decode): CrossEntropyLoss(avg_non_ignore=False) (conv_seg): None (dropout): Dropout2d(p=0.1, inplace=False) (pixel_decoder): MSDeformAttnPixelDecoder( (input_convs): ModuleList( (0): ConvModule( (conv): Conv2d(1024, 1024, kernel_size=(1, 1), stride=(1, 1)) (gn): GroupNorm(32, 1024, eps=1e-05, affine=True) ) (1): ConvModule( (conv): Conv2d(1024, 1024, kernel_size=(1, 1), stride=(1, 1)) (gn): GroupNorm(32, 1024, eps=1e-05, affine=True) ) (2): ConvModule( (conv): Conv2d(1024, 1024, kernel_size=(1, 1), stride=(1, 1)) (gn): GroupNorm(32, 1024, eps=1e-05, affine=True) ) ) (encoder): DetrTransformerEncoder( (layers): ModuleList( (0): BaseTransformerLayer( (attentions): ModuleList( (0): MultiScaleDeformableAttention( (dropout): Dropout(p=0.0, inplace=False) (sampling_offsets): Linear(in_features=1024, out_features=768, bias=True) (attention_weights): Linear(in_features=1024, out_features=384, bias=True) (value_proj): Linear(in_features=1024, out_features=1024, bias=True) (output_proj): Linear(in_features=1024, out_features=1024, bias=True) ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (1): BaseTransformerLayer( (attentions): ModuleList( (0): MultiScaleDeformableAttention( (dropout): Dropout(p=0.0, inplace=False) (sampling_offsets): Linear(in_features=1024, out_features=768, bias=True) (attention_weights): Linear(in_features=1024, out_features=384, bias=True) (value_proj): Linear(in_features=1024, out_features=1024, bias=True) (output_proj): Linear(in_features=1024, out_features=1024, bias=True) ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (2): BaseTransformerLayer( (attentions): ModuleList( (0): MultiScaleDeformableAttention( (dropout): Dropout(p=0.0, inplace=False) (sampling_offsets): Linear(in_features=1024, out_features=768, bias=True) (attention_weights): Linear(in_features=1024, out_features=384, bias=True) (value_proj): Linear(in_features=1024, out_features=1024, bias=True) (output_proj): Linear(in_features=1024, out_features=1024, bias=True) ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (3): BaseTransformerLayer( (attentions): ModuleList( (0): MultiScaleDeformableAttention( (dropout): Dropout(p=0.0, inplace=False) (sampling_offsets): Linear(in_features=1024, out_features=768, bias=True) (attention_weights): Linear(in_features=1024, out_features=384, bias=True) (value_proj): Linear(in_features=1024, out_features=1024, bias=True) (output_proj): Linear(in_features=1024, out_features=1024, bias=True) ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (4): BaseTransformerLayer( (attentions): ModuleList( (0): MultiScaleDeformableAttention( (dropout): Dropout(p=0.0, inplace=False) (sampling_offsets): Linear(in_features=1024, out_features=768, bias=True) (attention_weights): Linear(in_features=1024, out_features=384, bias=True) (value_proj): Linear(in_features=1024, out_features=1024, bias=True) (output_proj): Linear(in_features=1024, out_features=1024, bias=True) ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (5): BaseTransformerLayer( (attentions): ModuleList( (0): MultiScaleDeformableAttention( (dropout): Dropout(p=0.0, inplace=False) (sampling_offsets): Linear(in_features=1024, out_features=768, bias=True) (attention_weights): Linear(in_features=1024, out_features=384, bias=True) (value_proj): Linear(in_features=1024, out_features=1024, bias=True) (output_proj): Linear(in_features=1024, out_features=1024, bias=True) ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) ) ) (postional_encoding): SinePositionalEncoding(num_feats=512, temperature=10000, normalize=True, scale=6.283185307179586, eps=1e-06) (level_encoding): Embedding(3, 1024) (lateral_convs): ModuleList( (0): ConvModule( (conv): Conv2d(1024, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False) (gn): GroupNorm(32, 1024, eps=1e-05, affine=True) ) ) (output_convs): ModuleList( (0): ConvModule( (conv): Conv2d(1024, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (gn): GroupNorm(32, 1024, eps=1e-05, affine=True) (activate): ReLU(inplace=True) ) ) (mask_feature): Conv2d(1024, 1024, kernel_size=(1, 1), stride=(1, 1)) ) (transformer_decoder): DetrTransformerDecoder( (layers): ModuleList( (0): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (1): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (2): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (3): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (4): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (5): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (6): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (7): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (8): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) ) (post_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (decoder_input_projs): ModuleList( (0): Identity() (1): Identity() (2): Identity() ) (decoder_positional_encoding): SinePositionalEncoding(num_feats=512, temperature=10000, normalize=True, scale=6.283185307179586, eps=1e-06) (query_embed): Embedding(200, 1024) (query_feat): Embedding(200, 1024) (level_embed): Embedding(3, 1024) (cls_embed): Linear(in_features=1024, out_features=172, bias=True) (mask_embed): Sequential( (0): Linear(in_features=1024, out_features=1024, bias=True) (1): ReLU(inplace=True) (2): Linear(in_features=1024, out_features=1024, bias=True) (3): ReLU(inplace=True) (4): Linear(in_features=1024, out_features=1024, bias=True) ) (loss_cls): CrossEntropyLoss(avg_non_ignore=False) (loss_mask): CrossEntropyLoss(avg_non_ignore=False) (loss_dice): DiceLoss() ) ) 2022-09-12 03:59:33,564 - mmseg - INFO - Loaded 118287 images 2022-09-12 03:59:36,335 - mmseg - INFO - Loaded 5000 images 2022-09-12 03:59:36,351 - mmseg - INFO - Start running, host: chenzhe1@SH-IDC1-10-140-1-145, work_dir: /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/segmentation/work_dirs/mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss 2022-09-12 03:59:36,351 - mmseg - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) PolyLrUpdaterHook (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) PolyLrUpdaterHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_iter: (VERY_HIGH ) PolyLrUpdaterHook (LOW ) IterTimerHook (LOW ) DistEvalHook -------------------- after_train_iter: (ABOVE_NORMAL) OptimizerHook (NORMAL ) CheckpointHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- after_train_epoch: (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_val_epoch: (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_val_iter: (LOW ) IterTimerHook -------------------- after_val_iter: (LOW ) IterTimerHook -------------------- after_val_epoch: (VERY_LOW ) TextLoggerHook -------------------- after_run: (VERY_LOW ) TextLoggerHook -------------------- 2022-09-12 03:59:36,352 - mmseg - INFO - workflow: [('train', 1)], max: 80000 iters 2022-09-12 03:59:36,352 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/segmentation/work_dirs/mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss by HardDiskBackend. 2022-09-12 04:03:06,035 - mmseg - INFO - Iter [50/80000] lr: 4.688e-08, eta: 2 days, 4:30:57, time: 2.365, data_time: 0.022, memory: 42763, decode.loss_cls: 10.5847, decode.loss_mask: 2.6400, decode.loss_dice: 4.3592, decode.d0.loss_cls: 10.5309, decode.d0.loss_mask: 1.7741, decode.d0.loss_dice: 3.9166, decode.d1.loss_cls: 10.2907, decode.d1.loss_mask: 1.8919, decode.d1.loss_dice: 4.0215, decode.d2.loss_cls: 9.1688, decode.d2.loss_mask: 2.1331, decode.d2.loss_dice: 4.1208, decode.d3.loss_cls: 8.9018, decode.d3.loss_mask: 2.5602, decode.d3.loss_dice: 4.1565, decode.d4.loss_cls: 9.5885, decode.d4.loss_mask: 2.6128, decode.d4.loss_dice: 4.2368, decode.d5.loss_cls: 9.7312, decode.d5.loss_mask: 2.3724, decode.d5.loss_dice: 4.3249, decode.d6.loss_cls: 9.2799, decode.d6.loss_mask: 2.5886, decode.d6.loss_dice: 4.3250, decode.d7.loss_cls: 10.1699, decode.d7.loss_mask: 2.3593, decode.d7.loss_dice: 4.4431, decode.d8.loss_cls: 10.4395, decode.d8.loss_mask: 2.4029, decode.d8.loss_dice: 4.4205, loss: 164.3460 2022-09-12 04:04:39,732 - mmseg - INFO - Iter [100/80000] lr: 9.465e-08, eta: 1 day, 23:02:13, time: 1.874, data_time: 0.015, memory: 42763, decode.loss_cls: 5.6708, decode.loss_mask: 2.1858, decode.loss_dice: 4.4697, decode.d0.loss_cls: 10.5226, decode.d0.loss_mask: 1.7338, decode.d0.loss_dice: 3.9225, decode.d1.loss_cls: 7.9258, decode.d1.loss_mask: 1.7451, decode.d1.loss_dice: 4.0173, decode.d2.loss_cls: 5.6991, decode.d2.loss_mask: 1.8113, decode.d2.loss_dice: 4.1580, decode.d3.loss_cls: 5.0127, decode.d3.loss_mask: 1.8988, decode.d3.loss_dice: 4.2355, decode.d4.loss_cls: 5.1534, decode.d4.loss_mask: 1.9485, decode.d4.loss_dice: 4.3416, decode.d5.loss_cls: 4.9993, decode.d5.loss_mask: 2.0420, decode.d5.loss_dice: 4.3941, decode.d6.loss_cls: 4.7540, decode.d6.loss_mask: 2.1222, decode.d6.loss_dice: 4.4132, decode.d7.loss_cls: 5.0266, decode.d7.loss_mask: 2.0905, decode.d7.loss_dice: 4.4634, decode.d8.loss_cls: 5.4151, decode.d8.loss_mask: 2.1536, decode.d8.loss_dice: 4.4627, loss: 122.7891 2022-09-12 04:06:13,679 - mmseg - INFO - Iter [150/80000] lr: 1.424e-07, eta: 1 day, 21:13:29, time: 1.878, data_time: 0.014, memory: 42763, decode.loss_cls: 3.7255, decode.loss_mask: 2.1535, decode.loss_dice: 4.4511, decode.d0.loss_cls: 10.5210, decode.d0.loss_mask: 1.7139, decode.d0.loss_dice: 3.9082, decode.d1.loss_cls: 4.6643, decode.d1.loss_mask: 1.7219, decode.d1.loss_dice: 3.9963, decode.d2.loss_cls: 3.7444, decode.d2.loss_mask: 1.7764, decode.d2.loss_dice: 4.1100, decode.d3.loss_cls: 3.7257, decode.d3.loss_mask: 1.8328, decode.d3.loss_dice: 4.2395, decode.d4.loss_cls: 3.7654, decode.d4.loss_mask: 1.9247, decode.d4.loss_dice: 4.3093, decode.d5.loss_cls: 3.6840, decode.d5.loss_mask: 1.9945, decode.d5.loss_dice: 4.3521, decode.d6.loss_cls: 3.7023, decode.d6.loss_mask: 2.0530, decode.d6.loss_dice: 4.3928, decode.d7.loss_cls: 3.7002, decode.d7.loss_mask: 2.0855, decode.d7.loss_dice: 4.4219, decode.d8.loss_cls: 3.6996, decode.d8.loss_mask: 2.1143, decode.d8.loss_dice: 4.4459, loss: 106.9300 2022-09-12 04:07:47,409 - mmseg - INFO - Iter [200/80000] lr: 1.900e-07, eta: 1 day, 20:17:23, time: 1.875, data_time: 0.016, memory: 42763, decode.loss_cls: 3.6171, decode.loss_mask: 2.1333, decode.loss_dice: 4.4205, decode.d0.loss_cls: 10.5319, decode.d0.loss_mask: 1.7397, decode.d0.loss_dice: 3.8857, decode.d1.loss_cls: 3.7147, decode.d1.loss_mask: 1.7378, decode.d1.loss_dice: 3.9559, decode.d2.loss_cls: 3.6276, decode.d2.loss_mask: 1.7320, decode.d2.loss_dice: 4.0490, decode.d3.loss_cls: 3.6144, decode.d3.loss_mask: 1.7676, decode.d3.loss_dice: 4.1533, decode.d4.loss_cls: 3.6473, decode.d4.loss_mask: 1.8728, decode.d4.loss_dice: 4.2486, decode.d5.loss_cls: 3.5821, decode.d5.loss_mask: 1.9560, decode.d5.loss_dice: 4.3093, decode.d6.loss_cls: 3.5940, decode.d6.loss_mask: 2.0222, decode.d6.loss_dice: 4.3556, decode.d7.loss_cls: 3.5716, decode.d7.loss_mask: 2.0812, decode.d7.loss_dice: 4.3930, decode.d8.loss_cls: 3.5879, decode.d8.loss_mask: 2.0981, decode.d8.loss_dice: 4.4025, loss: 104.4028 2022-09-12 04:09:20,620 - mmseg - INFO - Iter [250/80000] lr: 2.376e-07, eta: 1 day, 19:40:08, time: 1.864, data_time: 0.015, memory: 42763, decode.loss_cls: 3.5575, decode.loss_mask: 2.0550, decode.loss_dice: 4.4141, decode.d0.loss_cls: 10.5243, decode.d0.loss_mask: 1.7095, decode.d0.loss_dice: 3.9048, decode.d1.loss_cls: 3.6319, decode.d1.loss_mask: 1.6964, decode.d1.loss_dice: 3.9591, decode.d2.loss_cls: 3.5842, decode.d2.loss_mask: 1.6803, decode.d2.loss_dice: 4.0211, decode.d3.loss_cls: 3.5532, decode.d3.loss_mask: 1.6644, decode.d3.loss_dice: 4.0989, decode.d4.loss_cls: 3.5740, decode.d4.loss_mask: 1.7168, decode.d4.loss_dice: 4.1776, decode.d5.loss_cls: 3.5215, decode.d5.loss_mask: 1.7996, decode.d5.loss_dice: 4.2467, decode.d6.loss_cls: 3.5283, decode.d6.loss_mask: 1.8761, decode.d6.loss_dice: 4.3158, decode.d7.loss_cls: 3.5119, decode.d7.loss_mask: 1.9588, decode.d7.loss_dice: 4.3601, decode.d8.loss_cls: 3.5262, decode.d8.loss_mask: 2.0316, decode.d8.loss_dice: 4.3974, loss: 102.5973 2022-09-12 04:10:54,227 - mmseg - INFO - Iter [300/80000] lr: 2.851e-07, eta: 1 day, 19:16:32, time: 1.872, data_time: 0.014, memory: 42763, decode.loss_cls: 3.5245, decode.loss_mask: 1.9479, decode.loss_dice: 4.3822, decode.d0.loss_cls: 10.5232, decode.d0.loss_mask: 1.6754, decode.d0.loss_dice: 3.9152, decode.d1.loss_cls: 3.6176, decode.d1.loss_mask: 1.6472, decode.d1.loss_dice: 3.9632, decode.d2.loss_cls: 3.5417, decode.d2.loss_mask: 1.6434, decode.d2.loss_dice: 3.9971, decode.d3.loss_cls: 3.5137, decode.d3.loss_mask: 1.6138, decode.d3.loss_dice: 4.0531, decode.d4.loss_cls: 3.5255, decode.d4.loss_mask: 1.6004, decode.d4.loss_dice: 4.1144, decode.d5.loss_cls: 3.4949, decode.d5.loss_mask: 1.6027, decode.d5.loss_dice: 4.1758, decode.d6.loss_cls: 3.5015, decode.d6.loss_mask: 1.6629, decode.d6.loss_dice: 4.2361, decode.d7.loss_cls: 3.4922, decode.d7.loss_mask: 1.7374, decode.d7.loss_dice: 4.2843, decode.d8.loss_cls: 3.4994, decode.d8.loss_mask: 1.8504, decode.d8.loss_dice: 4.3388, loss: 100.6760 2022-09-12 04:12:27,743 - mmseg - INFO - Iter [350/80000] lr: 3.326e-07, eta: 1 day, 18:58:54, time: 1.870, data_time: 0.015, memory: 42763, decode.loss_cls: 3.4664, decode.loss_mask: 1.7742, decode.loss_dice: 4.3118, decode.d0.loss_cls: 10.5299, decode.d0.loss_mask: 1.7112, decode.d0.loss_dice: 3.9001, decode.d1.loss_cls: 3.5677, decode.d1.loss_mask: 1.6885, decode.d1.loss_dice: 3.9172, decode.d2.loss_cls: 3.4652, decode.d2.loss_mask: 1.6833, decode.d2.loss_dice: 3.9378, decode.d3.loss_cls: 3.4463, decode.d3.loss_mask: 1.6628, decode.d3.loss_dice: 3.9856, decode.d4.loss_cls: 3.4596, decode.d4.loss_mask: 1.6652, decode.d4.loss_dice: 4.0333, decode.d5.loss_cls: 3.4455, decode.d5.loss_mask: 1.6322, decode.d5.loss_dice: 4.0802, decode.d6.loss_cls: 3.4428, decode.d6.loss_mask: 1.6126, decode.d6.loss_dice: 4.1486, decode.d7.loss_cls: 3.4428, decode.d7.loss_mask: 1.6140, decode.d7.loss_dice: 4.1935, decode.d8.loss_cls: 3.4456, decode.d8.loss_mask: 1.6445, decode.d8.loss_dice: 4.2401, loss: 99.1483 2022-09-12 04:14:01,120 - mmseg - INFO - Iter [400/80000] lr: 3.800e-07, eta: 1 day, 18:44:48, time: 1.867, data_time: 0.016, memory: 42763, decode.loss_cls: 3.3753, decode.loss_mask: 1.6321, decode.loss_dice: 4.1366, decode.d0.loss_cls: 10.5279, decode.d0.loss_mask: 1.7077, decode.d0.loss_dice: 3.8209, decode.d1.loss_cls: 3.4801, decode.d1.loss_mask: 1.6939, decode.d1.loss_dice: 3.7617, decode.d2.loss_cls: 3.3561, decode.d2.loss_mask: 1.6888, decode.d2.loss_dice: 3.7717, decode.d3.loss_cls: 3.3386, decode.d3.loss_mask: 1.6874, decode.d3.loss_dice: 3.8016, decode.d4.loss_cls: 3.3599, decode.d4.loss_mask: 1.6952, decode.d4.loss_dice: 3.8569, decode.d5.loss_cls: 3.3573, decode.d5.loss_mask: 1.6825, decode.d5.loss_dice: 3.9075, decode.d6.loss_cls: 3.3655, decode.d6.loss_mask: 1.6711, decode.d6.loss_dice: 3.9745, decode.d7.loss_cls: 3.3678, decode.d7.loss_mask: 1.6453, decode.d7.loss_dice: 4.0238, decode.d8.loss_cls: 3.3664, decode.d8.loss_mask: 1.6228, decode.d8.loss_dice: 4.0817, loss: 96.7586 2022-09-12 04:15:35,335 - mmseg - INFO - Iter [450/80000] lr: 4.274e-07, eta: 1 day, 18:36:00, time: 1.884, data_time: 0.013, memory: 42763, decode.loss_cls: 3.3549, decode.loss_mask: 1.6716, decode.loss_dice: 3.9306, decode.d0.loss_cls: 10.5201, decode.d0.loss_mask: 1.7052, decode.d0.loss_dice: 3.7431, decode.d1.loss_cls: 3.4576, decode.d1.loss_mask: 1.6956, decode.d1.loss_dice: 3.6293, decode.d2.loss_cls: 3.3470, decode.d2.loss_mask: 1.6953, decode.d2.loss_dice: 3.6470, decode.d3.loss_cls: 3.3276, decode.d3.loss_mask: 1.6905, decode.d3.loss_dice: 3.6674, decode.d4.loss_cls: 3.3382, decode.d4.loss_mask: 1.6932, decode.d4.loss_dice: 3.7026, decode.d5.loss_cls: 3.3277, decode.d5.loss_mask: 1.6866, decode.d5.loss_dice: 3.7303, decode.d6.loss_cls: 3.3190, decode.d6.loss_mask: 1.6913, decode.d6.loss_dice: 3.7840, decode.d7.loss_cls: 3.3357, decode.d7.loss_mask: 1.6875, decode.d7.loss_dice: 3.8013, decode.d8.loss_cls: 3.3279, decode.d8.loss_mask: 1.6854, decode.d8.loss_dice: 3.8665, loss: 95.0600 2022-09-12 04:17:09,540 - mmseg - INFO - Iter [500/80000] lr: 4.747e-07, eta: 1 day, 18:28:35, time: 1.884, data_time: 0.014, memory: 42763, decode.loss_cls: 3.2820, decode.loss_mask: 1.6821, decode.loss_dice: 3.7557, decode.d0.loss_cls: 10.5336, decode.d0.loss_mask: 1.6923, decode.d0.loss_dice: 3.6496, decode.d1.loss_cls: 3.3942, decode.d1.loss_mask: 1.6762, decode.d1.loss_dice: 3.5323, decode.d2.loss_cls: 3.2860, decode.d2.loss_mask: 1.6840, decode.d2.loss_dice: 3.5321, decode.d3.loss_cls: 3.2751, decode.d3.loss_mask: 1.6883, decode.d3.loss_dice: 3.5508, decode.d4.loss_cls: 3.2842, decode.d4.loss_mask: 1.6919, decode.d4.loss_dice: 3.5940, decode.d5.loss_cls: 3.2889, decode.d5.loss_mask: 1.6895, decode.d5.loss_dice: 3.6240, decode.d6.loss_cls: 3.2427, decode.d6.loss_mask: 1.7058, decode.d6.loss_dice: 3.6702, decode.d7.loss_cls: 3.2507, decode.d7.loss_mask: 1.6959, decode.d7.loss_dice: 3.6852, decode.d8.loss_cls: 3.2576, decode.d8.loss_mask: 1.6961, decode.d8.loss_dice: 3.7142, loss: 93.3054 2022-09-12 04:18:42,854 - mmseg - INFO - Iter [550/80000] lr: 5.219e-07, eta: 1 day, 18:20:06, time: 1.866, data_time: 0.015, memory: 42763, decode.loss_cls: 3.2312, decode.loss_mask: 1.7017, decode.loss_dice: 3.6058, decode.d0.loss_cls: 10.5208, decode.d0.loss_mask: 1.6884, decode.d0.loss_dice: 3.5260, decode.d1.loss_cls: 3.3243, decode.d1.loss_mask: 1.6691, decode.d1.loss_dice: 3.4091, decode.d2.loss_cls: 3.2252, decode.d2.loss_mask: 1.6747, decode.d2.loss_dice: 3.4036, decode.d3.loss_cls: 3.2230, decode.d3.loss_mask: 1.6837, decode.d3.loss_dice: 3.4077, decode.d4.loss_cls: 3.2253, decode.d4.loss_mask: 1.6805, decode.d4.loss_dice: 3.4185, decode.d5.loss_cls: 3.2363, decode.d5.loss_mask: 1.6939, decode.d5.loss_dice: 3.4572, decode.d6.loss_cls: 3.2133, decode.d6.loss_mask: 1.7021, decode.d6.loss_dice: 3.4966, decode.d7.loss_cls: 3.2233, decode.d7.loss_mask: 1.7000, decode.d7.loss_dice: 3.5238, decode.d8.loss_cls: 3.2268, decode.d8.loss_mask: 1.7013, decode.d8.loss_dice: 3.5421, loss: 91.3354 2022-09-12 04:20:16,756 - mmseg - INFO - Iter [600/80000] lr: 5.691e-07, eta: 1 day, 18:14:04, time: 1.878, data_time: 0.014, memory: 42763, decode.loss_cls: 3.2334, decode.loss_mask: 1.6557, decode.loss_dice: 3.4480, decode.d0.loss_cls: 10.5164, decode.d0.loss_mask: 1.6360, decode.d0.loss_dice: 3.4499, decode.d1.loss_cls: 3.3450, decode.d1.loss_mask: 1.6098, decode.d1.loss_dice: 3.3084, decode.d2.loss_cls: 3.2645, decode.d2.loss_mask: 1.6075, decode.d2.loss_dice: 3.2605, decode.d3.loss_cls: 3.2568, decode.d3.loss_mask: 1.6150, decode.d3.loss_dice: 3.2636, decode.d4.loss_cls: 3.2481, decode.d4.loss_mask: 1.6288, decode.d4.loss_dice: 3.2850, decode.d5.loss_cls: 3.2283, decode.d5.loss_mask: 1.6529, decode.d5.loss_dice: 3.3223, decode.d6.loss_cls: 3.2110, decode.d6.loss_mask: 1.6686, decode.d6.loss_dice: 3.3523, decode.d7.loss_cls: 3.2242, decode.d7.loss_mask: 1.6553, decode.d7.loss_dice: 3.3769, decode.d8.loss_cls: 3.2322, decode.d8.loss_mask: 1.6639, decode.d8.loss_dice: 3.4015, loss: 89.6221 2022-09-12 04:21:49,488 - mmseg - INFO - Iter [650/80000] lr: 6.162e-07, eta: 1 day, 18:06:20, time: 1.855, data_time: 0.016, memory: 42763, decode.loss_cls: 3.1626, decode.loss_mask: 1.6337, decode.loss_dice: 3.2853, decode.d0.loss_cls: 10.5281, decode.d0.loss_mask: 1.5773, decode.d0.loss_dice: 3.3323, decode.d1.loss_cls: 3.3093, decode.d1.loss_mask: 1.5380, decode.d1.loss_dice: 3.1553, decode.d2.loss_cls: 3.2295, decode.d2.loss_mask: 1.5488, decode.d2.loss_dice: 3.1060, decode.d3.loss_cls: 3.2136, decode.d3.loss_mask: 1.5709, decode.d3.loss_dice: 3.1134, decode.d4.loss_cls: 3.1673, decode.d4.loss_mask: 1.5703, decode.d4.loss_dice: 3.1134, decode.d5.loss_cls: 3.1532, decode.d5.loss_mask: 1.5939, decode.d5.loss_dice: 3.1402, decode.d6.loss_cls: 3.1364, decode.d6.loss_mask: 1.6106, decode.d6.loss_dice: 3.1681, decode.d7.loss_cls: 3.1529, decode.d7.loss_mask: 1.6120, decode.d7.loss_dice: 3.1864, decode.d8.loss_cls: 3.1512, decode.d8.loss_mask: 1.6417, decode.d8.loss_dice: 3.2376, loss: 86.9392 2022-09-12 04:23:23,951 - mmseg - INFO - Iter [700/80000] lr: 6.632e-07, eta: 1 day, 18:02:46, time: 1.889, data_time: 0.017, memory: 42763, decode.loss_cls: 3.1039, decode.loss_mask: 1.6366, decode.loss_dice: 3.0898, decode.d0.loss_cls: 10.5231, decode.d0.loss_mask: 1.5937, decode.d0.loss_dice: 3.2073, decode.d1.loss_cls: 3.2764, decode.d1.loss_mask: 1.5508, decode.d1.loss_dice: 3.0135, decode.d2.loss_cls: 3.1851, decode.d2.loss_mask: 1.5615, decode.d2.loss_dice: 2.9502, decode.d3.loss_cls: 3.1461, decode.d3.loss_mask: 1.5959, decode.d3.loss_dice: 2.9600, decode.d4.loss_cls: 3.1239, decode.d4.loss_mask: 1.5874, decode.d4.loss_dice: 2.9547, decode.d5.loss_cls: 3.1037, decode.d5.loss_mask: 1.6030, decode.d5.loss_dice: 2.9836, decode.d6.loss_cls: 3.0792, decode.d6.loss_mask: 1.6277, decode.d6.loss_dice: 3.0062, decode.d7.loss_cls: 3.1047, decode.d7.loss_mask: 1.6197, decode.d7.loss_dice: 3.0185, decode.d8.loss_cls: 3.0925, decode.d8.loss_mask: 1.6258, decode.d8.loss_dice: 3.0418, loss: 84.9664 2022-09-12 04:24:57,320 - mmseg - INFO - Iter [750/80000] lr: 7.102e-07, eta: 1 day, 17:57:32, time: 1.867, data_time: 0.015, memory: 42763, decode.loss_cls: 3.1275, decode.loss_mask: 1.5882, decode.loss_dice: 3.0109, decode.d0.loss_cls: 10.5105, decode.d0.loss_mask: 1.5530, decode.d0.loss_dice: 3.1552, decode.d1.loss_cls: 3.3226, decode.d1.loss_mask: 1.5058, decode.d1.loss_dice: 2.9694, decode.d2.loss_cls: 3.2027, decode.d2.loss_mask: 1.5142, decode.d2.loss_dice: 2.8939, decode.d3.loss_cls: 3.1533, decode.d3.loss_mask: 1.5500, decode.d3.loss_dice: 2.8926, decode.d4.loss_cls: 3.1179, decode.d4.loss_mask: 1.5552, decode.d4.loss_dice: 2.8843, decode.d5.loss_cls: 3.1105, decode.d5.loss_mask: 1.5682, decode.d5.loss_dice: 2.8994, decode.d6.loss_cls: 3.0866, decode.d6.loss_mask: 1.5820, decode.d6.loss_dice: 2.9158, decode.d7.loss_cls: 3.1260, decode.d7.loss_mask: 1.5737, decode.d7.loss_dice: 2.9410, decode.d8.loss_cls: 3.1166, decode.d8.loss_mask: 1.5831, decode.d8.loss_dice: 2.9663, loss: 83.9765 2022-09-12 04:26:31,288 - mmseg - INFO - Iter [800/80000] lr: 7.572e-07, eta: 1 day, 17:53:44, time: 1.879, data_time: 0.017, memory: 42763, decode.loss_cls: 3.2254, decode.loss_mask: 1.5297, decode.loss_dice: 2.9153, decode.d0.loss_cls: 10.5082, decode.d0.loss_mask: 1.5161, decode.d0.loss_dice: 3.1335, decode.d1.loss_cls: 3.3545, decode.d1.loss_mask: 1.4705, decode.d1.loss_dice: 2.9142, decode.d2.loss_cls: 3.2561, decode.d2.loss_mask: 1.4816, decode.d2.loss_dice: 2.8385, decode.d3.loss_cls: 3.2191, decode.d3.loss_mask: 1.4937, decode.d3.loss_dice: 2.8059, decode.d4.loss_cls: 3.1852, decode.d4.loss_mask: 1.5144, decode.d4.loss_dice: 2.8225, decode.d5.loss_cls: 3.1915, decode.d5.loss_mask: 1.5135, decode.d5.loss_dice: 2.8205, decode.d6.loss_cls: 3.1723, decode.d6.loss_mask: 1.5310, decode.d6.loss_dice: 2.8558, decode.d7.loss_cls: 3.2145, decode.d7.loss_mask: 1.5200, decode.d7.loss_dice: 2.8599, decode.d8.loss_cls: 3.2093, decode.d8.loss_mask: 1.5235, decode.d8.loss_dice: 2.8740, loss: 83.4700 2022-09-12 04:28:05,485 - mmseg - INFO - Iter [850/80000] lr: 8.040e-07, eta: 1 day, 17:50:34, time: 1.884, data_time: 0.017, memory: 42763, decode.loss_cls: 3.0987, decode.loss_mask: 1.4688, decode.loss_dice: 2.7453, decode.d0.loss_cls: 10.5048, decode.d0.loss_mask: 1.4610, decode.d0.loss_dice: 3.0166, decode.d1.loss_cls: 3.2804, decode.d1.loss_mask: 1.4101, decode.d1.loss_dice: 2.7694, decode.d2.loss_cls: 3.1636, decode.d2.loss_mask: 1.4217, decode.d2.loss_dice: 2.6813, decode.d3.loss_cls: 3.1025, decode.d3.loss_mask: 1.4490, decode.d3.loss_dice: 2.6629, decode.d4.loss_cls: 3.0817, decode.d4.loss_mask: 1.4559, decode.d4.loss_dice: 2.6616, decode.d5.loss_cls: 3.0595, decode.d5.loss_mask: 1.4686, decode.d5.loss_dice: 2.6741, decode.d6.loss_cls: 3.0528, decode.d6.loss_mask: 1.4627, decode.d6.loss_dice: 2.6828, decode.d7.loss_cls: 3.0748, decode.d7.loss_mask: 1.4651, decode.d7.loss_dice: 2.7081, decode.d8.loss_cls: 3.0711, decode.d8.loss_mask: 1.4645, decode.d8.loss_dice: 2.7183, loss: 80.3376 2022-09-12 04:29:38,591 - mmseg - INFO - Iter [900/80000] lr: 8.509e-07, eta: 1 day, 17:45:58, time: 1.862, data_time: 0.016, memory: 42763, decode.loss_cls: 3.0826, decode.loss_mask: 1.4186, decode.loss_dice: 2.6656, decode.d0.loss_cls: 10.4955, decode.d0.loss_mask: 1.4135, decode.d0.loss_dice: 2.9676, decode.d1.loss_cls: 3.2790, decode.d1.loss_mask: 1.3742, decode.d1.loss_dice: 2.7029, decode.d2.loss_cls: 3.1521, decode.d2.loss_mask: 1.3853, decode.d2.loss_dice: 2.6211, decode.d3.loss_cls: 3.0837, decode.d3.loss_mask: 1.4131, decode.d3.loss_dice: 2.5907, decode.d4.loss_cls: 3.0773, decode.d4.loss_mask: 1.4005, decode.d4.loss_dice: 2.5741, decode.d5.loss_cls: 3.0487, decode.d5.loss_mask: 1.4055, decode.d5.loss_dice: 2.5796, decode.d6.loss_cls: 3.0523, decode.d6.loss_mask: 1.4040, decode.d6.loss_dice: 2.5970, decode.d7.loss_cls: 3.0532, decode.d7.loss_mask: 1.4198, decode.d7.loss_dice: 2.6097, decode.d8.loss_cls: 3.0403, decode.d8.loss_mask: 1.4338, decode.d8.loss_dice: 2.6394, loss: 78.9809 2022-09-12 04:31:10,732 - mmseg - INFO - Iter [950/80000] lr: 8.976e-07, eta: 1 day, 17:40:21, time: 1.843, data_time: 0.016, memory: 42763, decode.loss_cls: 3.0358, decode.loss_mask: 1.3990, decode.loss_dice: 2.5671, decode.d0.loss_cls: 10.4926, decode.d0.loss_mask: 1.3928, decode.d0.loss_dice: 2.9150, decode.d1.loss_cls: 3.2358, decode.d1.loss_mask: 1.3567, decode.d1.loss_dice: 2.6393, decode.d2.loss_cls: 3.1087, decode.d2.loss_mask: 1.3571, decode.d2.loss_dice: 2.5381, decode.d3.loss_cls: 3.0525, decode.d3.loss_mask: 1.3789, decode.d3.loss_dice: 2.5041, decode.d4.loss_cls: 3.0448, decode.d4.loss_mask: 1.3727, decode.d4.loss_dice: 2.5086, decode.d5.loss_cls: 3.0137, decode.d5.loss_mask: 1.3827, decode.d5.loss_dice: 2.5083, decode.d6.loss_cls: 3.0202, decode.d6.loss_mask: 1.3909, decode.d6.loss_dice: 2.5238, decode.d7.loss_cls: 3.0215, decode.d7.loss_mask: 1.3976, decode.d7.loss_dice: 2.5339, decode.d8.loss_cls: 3.0107, decode.d8.loss_mask: 1.4079, decode.d8.loss_dice: 2.5442, loss: 77.6551 2022-09-12 04:32:44,783 - mmseg - INFO - Saving checkpoint at 1000 iterations 2022-09-12 04:33:14,988 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 04:33:14,995 - mmseg - INFO - Iter [1000/80000] lr: 9.443e-07, eta: 1 day, 18:17:18, time: 2.483, data_time: 0.018, memory: 42763, decode.loss_cls: 3.0472, decode.loss_mask: 1.3868, decode.loss_dice: 2.5056, decode.d0.loss_cls: 10.4860, decode.d0.loss_mask: 1.3879, decode.d0.loss_dice: 2.8875, decode.d1.loss_cls: 3.2193, decode.d1.loss_mask: 1.3455, decode.d1.loss_dice: 2.6022, decode.d2.loss_cls: 3.0910, decode.d2.loss_mask: 1.3537, decode.d2.loss_dice: 2.4976, decode.d3.loss_cls: 3.0222, decode.d3.loss_mask: 1.3830, decode.d3.loss_dice: 2.4678, decode.d4.loss_cls: 3.0131, decode.d4.loss_mask: 1.3660, decode.d4.loss_dice: 2.4626, decode.d5.loss_cls: 3.0009, decode.d5.loss_mask: 1.3691, decode.d5.loss_dice: 2.4546, decode.d6.loss_cls: 2.9986, decode.d6.loss_mask: 1.3784, decode.d6.loss_dice: 2.4538, decode.d7.loss_cls: 2.9984, decode.d7.loss_mask: 1.3772, decode.d7.loss_dice: 2.4689, decode.d8.loss_cls: 3.0044, decode.d8.loss_mask: 1.3781, decode.d8.loss_dice: 2.4739, loss: 76.8812 2022-09-12 04:34:50,039 - mmseg - INFO - Iter [1050/80000] lr: 9.909e-07, eta: 1 day, 18:14:12, time: 1.903, data_time: 0.018, memory: 42763, decode.loss_cls: 2.9705, decode.loss_mask: 1.3344, decode.loss_dice: 2.3865, decode.d0.loss_cls: 10.4741, decode.d0.loss_mask: 1.3348, decode.d0.loss_dice: 2.8037, decode.d1.loss_cls: 3.1562, decode.d1.loss_mask: 1.2925, decode.d1.loss_dice: 2.4948, decode.d2.loss_cls: 3.0298, decode.d2.loss_mask: 1.3069, decode.d2.loss_dice: 2.3900, decode.d3.loss_cls: 2.9662, decode.d3.loss_mask: 1.3256, decode.d3.loss_dice: 2.3544, decode.d4.loss_cls: 2.9542, decode.d4.loss_mask: 1.3185, decode.d4.loss_dice: 2.3522, decode.d5.loss_cls: 2.9465, decode.d5.loss_mask: 1.3237, decode.d5.loss_dice: 2.3383, decode.d6.loss_cls: 2.9335, decode.d6.loss_mask: 1.3362, decode.d6.loss_dice: 2.3379, decode.d7.loss_cls: 2.9422, decode.d7.loss_mask: 1.3329, decode.d7.loss_dice: 2.3437, decode.d8.loss_cls: 2.9409, decode.d8.loss_mask: 1.3364, decode.d8.loss_dice: 2.3616, loss: 74.7190 2022-09-12 04:36:24,634 - mmseg - INFO - Iter [1100/80000] lr: 1.038e-06, eta: 1 day, 18:10:33, time: 1.892, data_time: 0.015, memory: 42763, decode.loss_cls: 2.8176, decode.loss_mask: 1.3889, decode.loss_dice: 2.3383, decode.d0.loss_cls: 10.4720, decode.d0.loss_mask: 1.3660, decode.d0.loss_dice: 2.7205, decode.d1.loss_cls: 3.0107, decode.d1.loss_mask: 1.3281, decode.d1.loss_dice: 2.4217, decode.d2.loss_cls: 2.8824, decode.d2.loss_mask: 1.3398, decode.d2.loss_dice: 2.3252, decode.d3.loss_cls: 2.8364, decode.d3.loss_mask: 1.3431, decode.d3.loss_dice: 2.2846, decode.d4.loss_cls: 2.8131, decode.d4.loss_mask: 1.3536, decode.d4.loss_dice: 2.2900, decode.d5.loss_cls: 2.8021, decode.d5.loss_mask: 1.3535, decode.d5.loss_dice: 2.2797, decode.d6.loss_cls: 2.7853, decode.d6.loss_mask: 1.3653, decode.d6.loss_dice: 2.2850, decode.d7.loss_cls: 2.7892, decode.d7.loss_mask: 1.3629, decode.d7.loss_dice: 2.2899, decode.d8.loss_cls: 2.7844, decode.d8.loss_mask: 1.3630, decode.d8.loss_dice: 2.3029, loss: 73.0953 2022-09-12 04:37:58,619 - mmseg - INFO - Iter [1150/80000] lr: 1.084e-06, eta: 1 day, 18:06:24, time: 1.880, data_time: 0.016, memory: 42763, decode.loss_cls: 2.8860, decode.loss_mask: 1.3393, decode.loss_dice: 2.3345, decode.d0.loss_cls: 10.4502, decode.d0.loss_mask: 1.3251, decode.d0.loss_dice: 2.7286, decode.d1.loss_cls: 3.0878, decode.d1.loss_mask: 1.3026, decode.d1.loss_dice: 2.4219, decode.d2.loss_cls: 2.9432, decode.d2.loss_mask: 1.3271, decode.d2.loss_dice: 2.3423, decode.d3.loss_cls: 2.8789, decode.d3.loss_mask: 1.3375, decode.d3.loss_dice: 2.2927, decode.d4.loss_cls: 2.8656, decode.d4.loss_mask: 1.3222, decode.d4.loss_dice: 2.2837, decode.d5.loss_cls: 2.8631, decode.d5.loss_mask: 1.3216, decode.d5.loss_dice: 2.2761, decode.d6.loss_cls: 2.8603, decode.d6.loss_mask: 1.3262, decode.d6.loss_dice: 2.2980, decode.d7.loss_cls: 2.8601, decode.d7.loss_mask: 1.3308, decode.d7.loss_dice: 2.3034, decode.d8.loss_cls: 2.8586, decode.d8.loss_mask: 1.3363, decode.d8.loss_dice: 2.3139, loss: 73.4175 2022-09-12 04:39:32,627 - mmseg - INFO - Iter [1200/80000] lr: 1.130e-06, eta: 1 day, 18:02:29, time: 1.880, data_time: 0.016, memory: 42763, decode.loss_cls: 2.8519, decode.loss_mask: 1.2945, decode.loss_dice: 2.2370, decode.d0.loss_cls: 10.4491, decode.d0.loss_mask: 1.2856, decode.d0.loss_dice: 2.6620, decode.d1.loss_cls: 3.0702, decode.d1.loss_mask: 1.2651, decode.d1.loss_dice: 2.3434, decode.d2.loss_cls: 2.9175, decode.d2.loss_mask: 1.2865, decode.d2.loss_dice: 2.2604, decode.d3.loss_cls: 2.8578, decode.d3.loss_mask: 1.3042, decode.d3.loss_dice: 2.2295, decode.d4.loss_cls: 2.8343, decode.d4.loss_mask: 1.2875, decode.d4.loss_dice: 2.2156, decode.d5.loss_cls: 2.8263, decode.d5.loss_mask: 1.2776, decode.d5.loss_dice: 2.2016, decode.d6.loss_cls: 2.8149, decode.d6.loss_mask: 1.2836, decode.d6.loss_dice: 2.2058, decode.d7.loss_cls: 2.8264, decode.d7.loss_mask: 1.2773, decode.d7.loss_dice: 2.2106, decode.d8.loss_cls: 2.8203, decode.d8.loss_mask: 1.2811, decode.d8.loss_dice: 2.2189, loss: 71.8965 2022-09-12 04:41:05,851 - mmseg - INFO - Iter [1250/80000] lr: 1.177e-06, eta: 1 day, 17:57:56, time: 1.864, data_time: 0.014, memory: 42763, decode.loss_cls: 2.7639, decode.loss_mask: 1.3184, decode.loss_dice: 2.2473, decode.d0.loss_cls: 10.4333, decode.d0.loss_mask: 1.3081, decode.d0.loss_dice: 2.6506, decode.d1.loss_cls: 2.9822, decode.d1.loss_mask: 1.2962, decode.d1.loss_dice: 2.3418, decode.d2.loss_cls: 2.8376, decode.d2.loss_mask: 1.3136, decode.d2.loss_dice: 2.2625, decode.d3.loss_cls: 2.7824, decode.d3.loss_mask: 1.3178, decode.d3.loss_dice: 2.2351, decode.d4.loss_cls: 2.7586, decode.d4.loss_mask: 1.3146, decode.d4.loss_dice: 2.2254, decode.d5.loss_cls: 2.7439, decode.d5.loss_mask: 1.3158, decode.d5.loss_dice: 2.2116, decode.d6.loss_cls: 2.7307, decode.d6.loss_mask: 1.3206, decode.d6.loss_dice: 2.2198, decode.d7.loss_cls: 2.7373, decode.d7.loss_mask: 1.3079, decode.d7.loss_dice: 2.2206, decode.d8.loss_cls: 2.7374, decode.d8.loss_mask: 1.3013, decode.d8.loss_dice: 2.2247, loss: 71.4611 2022-09-12 04:42:39,636 - mmseg - INFO - Iter [1300/80000] lr: 1.223e-06, eta: 1 day, 17:54:11, time: 1.876, data_time: 0.016, memory: 42763, decode.loss_cls: 2.7516, decode.loss_mask: 1.2198, decode.loss_dice: 2.2047, decode.d0.loss_cls: 10.4246, decode.d0.loss_mask: 1.2221, decode.d0.loss_dice: 2.6282, decode.d1.loss_cls: 2.9906, decode.d1.loss_mask: 1.2171, decode.d1.loss_dice: 2.3263, decode.d2.loss_cls: 2.8344, decode.d2.loss_mask: 1.2218, decode.d2.loss_dice: 2.2268, decode.d3.loss_cls: 2.7821, decode.d3.loss_mask: 1.2265, decode.d3.loss_dice: 2.1956, decode.d4.loss_cls: 2.7573, decode.d4.loss_mask: 1.2124, decode.d4.loss_dice: 2.1920, decode.d5.loss_cls: 2.7401, decode.d5.loss_mask: 1.2159, decode.d5.loss_dice: 2.1653, decode.d6.loss_cls: 2.7247, decode.d6.loss_mask: 1.2118, decode.d6.loss_dice: 2.1731, decode.d7.loss_cls: 2.7212, decode.d7.loss_mask: 1.2145, decode.d7.loss_dice: 2.1824, decode.d8.loss_cls: 2.7336, decode.d8.loss_mask: 1.2206, decode.d8.loss_dice: 2.1914, loss: 70.1282 2022-09-12 04:44:14,140 - mmseg - INFO - Iter [1350/80000] lr: 1.269e-06, eta: 1 day, 17:51:17, time: 1.890, data_time: 0.016, memory: 42763, decode.loss_cls: 2.6456, decode.loss_mask: 1.2767, decode.loss_dice: 2.1146, decode.d0.loss_cls: 10.4142, decode.d0.loss_mask: 1.2566, decode.d0.loss_dice: 2.5411, decode.d1.loss_cls: 2.8878, decode.d1.loss_mask: 1.2554, decode.d1.loss_dice: 2.2176, decode.d2.loss_cls: 2.7220, decode.d2.loss_mask: 1.2702, decode.d2.loss_dice: 2.1369, decode.d3.loss_cls: 2.6630, decode.d3.loss_mask: 1.2766, decode.d3.loss_dice: 2.0953, decode.d4.loss_cls: 2.6452, decode.d4.loss_mask: 1.2638, decode.d4.loss_dice: 2.0824, decode.d5.loss_cls: 2.6327, decode.d5.loss_mask: 1.2568, decode.d5.loss_dice: 2.0785, decode.d6.loss_cls: 2.6160, decode.d6.loss_mask: 1.2634, decode.d6.loss_dice: 2.0832, decode.d7.loss_cls: 2.6159, decode.d7.loss_mask: 1.2568, decode.d7.loss_dice: 2.0900, decode.d8.loss_cls: 2.6217, decode.d8.loss_mask: 1.2629, decode.d8.loss_dice: 2.0917, loss: 68.6345 2022-09-12 04:45:46,640 - mmseg - INFO - Iter [1400/80000] lr: 1.316e-06, eta: 1 day, 17:46:36, time: 1.850, data_time: 0.016, memory: 42763, decode.loss_cls: 2.6513, decode.loss_mask: 1.2530, decode.loss_dice: 2.1337, decode.d0.loss_cls: 10.4003, decode.d0.loss_mask: 1.2388, decode.d0.loss_dice: 2.5429, decode.d1.loss_cls: 2.9012, decode.d1.loss_mask: 1.2612, decode.d1.loss_dice: 2.2450, decode.d2.loss_cls: 2.7446, decode.d2.loss_mask: 1.2624, decode.d2.loss_dice: 2.1472, decode.d3.loss_cls: 2.6717, decode.d3.loss_mask: 1.2519, decode.d3.loss_dice: 2.1251, decode.d4.loss_cls: 2.6456, decode.d4.loss_mask: 1.2475, decode.d4.loss_dice: 2.1207, decode.d5.loss_cls: 2.6339, decode.d5.loss_mask: 1.2496, decode.d5.loss_dice: 2.1091, decode.d6.loss_cls: 2.6250, decode.d6.loss_mask: 1.2490, decode.d6.loss_dice: 2.1129, decode.d7.loss_cls: 2.6204, decode.d7.loss_mask: 1.2496, decode.d7.loss_dice: 2.1140, decode.d8.loss_cls: 2.6223, decode.d8.loss_mask: 1.2510, decode.d8.loss_dice: 2.1296, loss: 68.8106 2022-09-12 04:47:20,223 - mmseg - INFO - Iter [1450/80000] lr: 1.362e-06, eta: 1 day, 17:43:08, time: 1.872, data_time: 0.015, memory: 42763, decode.loss_cls: 2.6681, decode.loss_mask: 1.2019, decode.loss_dice: 2.1343, decode.d0.loss_cls: 10.3873, decode.d0.loss_mask: 1.2022, decode.d0.loss_dice: 2.5632, decode.d1.loss_cls: 2.9072, decode.d1.loss_mask: 1.2063, decode.d1.loss_dice: 2.2390, decode.d2.loss_cls: 2.7454, decode.d2.loss_mask: 1.2128, decode.d2.loss_dice: 2.1545, decode.d3.loss_cls: 2.6933, decode.d3.loss_mask: 1.2050, decode.d3.loss_dice: 2.1292, decode.d4.loss_cls: 2.6661, decode.d4.loss_mask: 1.1993, decode.d4.loss_dice: 2.1209, decode.d5.loss_cls: 2.6612, decode.d5.loss_mask: 1.1969, decode.d5.loss_dice: 2.1072, decode.d6.loss_cls: 2.6489, decode.d6.loss_mask: 1.1921, decode.d6.loss_dice: 2.1207, decode.d7.loss_cls: 2.6404, decode.d7.loss_mask: 1.1927, decode.d7.loss_dice: 2.1219, decode.d8.loss_cls: 2.6475, decode.d8.loss_mask: 1.2040, decode.d8.loss_dice: 2.1194, loss: 68.4889 2022-09-12 04:48:53,928 - mmseg - INFO - Iter [1500/80000] lr: 1.408e-06, eta: 1 day, 17:39:53, time: 1.874, data_time: 0.014, memory: 42763, decode.loss_cls: 2.5491, decode.loss_mask: 1.2420, decode.loss_dice: 2.0895, decode.d0.loss_cls: 10.3736, decode.d0.loss_mask: 1.2282, decode.d0.loss_dice: 2.4960, decode.d1.loss_cls: 2.7983, decode.d1.loss_mask: 1.2410, decode.d1.loss_dice: 2.2005, decode.d2.loss_cls: 2.6395, decode.d2.loss_mask: 1.2466, decode.d2.loss_dice: 2.1076, decode.d3.loss_cls: 2.5840, decode.d3.loss_mask: 1.2388, decode.d3.loss_dice: 2.0946, decode.d4.loss_cls: 2.5564, decode.d4.loss_mask: 1.2357, decode.d4.loss_dice: 2.0791, decode.d5.loss_cls: 2.5573, decode.d5.loss_mask: 1.2323, decode.d5.loss_dice: 2.0703, decode.d6.loss_cls: 2.5406, decode.d6.loss_mask: 1.2355, decode.d6.loss_dice: 2.0787, decode.d7.loss_cls: 2.5415, decode.d7.loss_mask: 1.2345, decode.d7.loss_dice: 2.0696, decode.d8.loss_cls: 2.5346, decode.d8.loss_mask: 1.2432, decode.d8.loss_dice: 2.0772, loss: 67.4156 2022-09-12 04:50:27,851 - mmseg - INFO - Iter [1550/80000] lr: 1.408e-06, eta: 1 day, 17:36:56, time: 1.878, data_time: 0.018, memory: 42763, decode.loss_cls: 2.6462, decode.loss_mask: 1.1994, decode.loss_dice: 2.1171, decode.d0.loss_cls: 10.3650, decode.d0.loss_mask: 1.1830, decode.d0.loss_dice: 2.5244, decode.d1.loss_cls: 2.8762, decode.d1.loss_mask: 1.1831, decode.d1.loss_dice: 2.2206, decode.d2.loss_cls: 2.7302, decode.d2.loss_mask: 1.1901, decode.d2.loss_dice: 2.1303, decode.d3.loss_cls: 2.6637, decode.d3.loss_mask: 1.1887, decode.d3.loss_dice: 2.0859, decode.d4.loss_cls: 2.6382, decode.d4.loss_mask: 1.2060, decode.d4.loss_dice: 2.0949, decode.d5.loss_cls: 2.6252, decode.d5.loss_mask: 1.2049, decode.d5.loss_dice: 2.0898, decode.d6.loss_cls: 2.6197, decode.d6.loss_mask: 1.1992, decode.d6.loss_dice: 2.0875, decode.d7.loss_cls: 2.6198, decode.d7.loss_mask: 1.1912, decode.d7.loss_dice: 2.0935, decode.d8.loss_cls: 2.6156, decode.d8.loss_mask: 1.1987, decode.d8.loss_dice: 2.1075, loss: 67.8958 2022-09-12 04:52:01,657 - mmseg - INFO - Iter [1600/80000] lr: 1.407e-06, eta: 1 day, 17:33:58, time: 1.876, data_time: 0.015, memory: 42763, decode.loss_cls: 2.5421, decode.loss_mask: 1.2106, decode.loss_dice: 2.0153, decode.d0.loss_cls: 10.3468, decode.d0.loss_mask: 1.1944, decode.d0.loss_dice: 2.4360, decode.d1.loss_cls: 2.7962, decode.d1.loss_mask: 1.2133, decode.d1.loss_dice: 2.1299, decode.d2.loss_cls: 2.6459, decode.d2.loss_mask: 1.2119, decode.d2.loss_dice: 2.0416, decode.d3.loss_cls: 2.5795, decode.d3.loss_mask: 1.2150, decode.d3.loss_dice: 2.0091, decode.d4.loss_cls: 2.5549, decode.d4.loss_mask: 1.2095, decode.d4.loss_dice: 2.0037, decode.d5.loss_cls: 2.5402, decode.d5.loss_mask: 1.2080, decode.d5.loss_dice: 1.9837, decode.d6.loss_cls: 2.5197, decode.d6.loss_mask: 1.2022, decode.d6.loss_dice: 1.9846, decode.d7.loss_cls: 2.5215, decode.d7.loss_mask: 1.1970, decode.d7.loss_dice: 1.9962, decode.d8.loss_cls: 2.5262, decode.d8.loss_mask: 1.2006, decode.d8.loss_dice: 1.9977, loss: 66.2334 2022-09-12 04:53:34,897 - mmseg - INFO - Iter [1650/80000] lr: 1.406e-06, eta: 1 day, 17:30:38, time: 1.865, data_time: 0.015, memory: 42763, decode.loss_cls: 2.5048, decode.loss_mask: 1.1556, decode.loss_dice: 2.0217, decode.d0.loss_cls: 10.3345, decode.d0.loss_mask: 1.1654, decode.d0.loss_dice: 2.4468, decode.d1.loss_cls: 2.7722, decode.d1.loss_mask: 1.1723, decode.d1.loss_dice: 2.1494, decode.d2.loss_cls: 2.6029, decode.d2.loss_mask: 1.1830, decode.d2.loss_dice: 2.0631, decode.d3.loss_cls: 2.5448, decode.d3.loss_mask: 1.1664, decode.d3.loss_dice: 2.0326, decode.d4.loss_cls: 2.5161, decode.d4.loss_mask: 1.1609, decode.d4.loss_dice: 2.0144, decode.d5.loss_cls: 2.5030, decode.d5.loss_mask: 1.1564, decode.d5.loss_dice: 2.0131, decode.d6.loss_cls: 2.5006, decode.d6.loss_mask: 1.1592, decode.d6.loss_dice: 2.0093, decode.d7.loss_cls: 2.4917, decode.d7.loss_mask: 1.1501, decode.d7.loss_dice: 2.0038, decode.d8.loss_cls: 2.4829, decode.d8.loss_mask: 1.1541, decode.d8.loss_dice: 2.0036, loss: 65.6349 2022-09-12 04:55:09,410 - mmseg - INFO - Iter [1700/80000] lr: 1.405e-06, eta: 1 day, 17:28:24, time: 1.890, data_time: 0.015, memory: 42763, decode.loss_cls: 2.4396, decode.loss_mask: 1.1769, decode.loss_dice: 1.9933, decode.d0.loss_cls: 10.3185, decode.d0.loss_mask: 1.1741, decode.d0.loss_dice: 2.4304, decode.d1.loss_cls: 2.6852, decode.d1.loss_mask: 1.1819, decode.d1.loss_dice: 2.1131, decode.d2.loss_cls: 2.5222, decode.d2.loss_mask: 1.1947, decode.d2.loss_dice: 2.0261, decode.d3.loss_cls: 2.4746, decode.d3.loss_mask: 1.1790, decode.d3.loss_dice: 1.9901, decode.d4.loss_cls: 2.4423, decode.d4.loss_mask: 1.1817, decode.d4.loss_dice: 1.9833, decode.d5.loss_cls: 2.4350, decode.d5.loss_mask: 1.1778, decode.d5.loss_dice: 1.9614, decode.d6.loss_cls: 2.4228, decode.d6.loss_mask: 1.1758, decode.d6.loss_dice: 1.9802, decode.d7.loss_cls: 2.4160, decode.d7.loss_mask: 1.1696, decode.d7.loss_dice: 1.9809, decode.d8.loss_cls: 2.4085, decode.d8.loss_mask: 1.1777, decode.d8.loss_dice: 1.9823, loss: 64.7950 2022-09-12 04:56:43,586 - mmseg - INFO - Iter [1750/80000] lr: 1.404e-06, eta: 1 day, 17:25:56, time: 1.883, data_time: 0.014, memory: 42763, decode.loss_cls: 2.4093, decode.loss_mask: 1.1540, decode.loss_dice: 1.9678, decode.d0.loss_cls: 10.2943, decode.d0.loss_mask: 1.1488, decode.d0.loss_dice: 2.3914, decode.d1.loss_cls: 2.6667, decode.d1.loss_mask: 1.1608, decode.d1.loss_dice: 2.0846, decode.d2.loss_cls: 2.5215, decode.d2.loss_mask: 1.1638, decode.d2.loss_dice: 1.9956, decode.d3.loss_cls: 2.4580, decode.d3.loss_mask: 1.1574, decode.d3.loss_dice: 1.9698, decode.d4.loss_cls: 2.4359, decode.d4.loss_mask: 1.1585, decode.d4.loss_dice: 1.9570, decode.d5.loss_cls: 2.4170, decode.d5.loss_mask: 1.1509, decode.d5.loss_dice: 1.9529, decode.d6.loss_cls: 2.3968, decode.d6.loss_mask: 1.1474, decode.d6.loss_dice: 1.9559, decode.d7.loss_cls: 2.3913, decode.d7.loss_mask: 1.1485, decode.d7.loss_dice: 1.9515, decode.d8.loss_cls: 2.3923, decode.d8.loss_mask: 1.1563, decode.d8.loss_dice: 1.9586, loss: 64.1144 2022-09-12 04:58:16,970 - mmseg - INFO - Iter [1800/80000] lr: 1.404e-06, eta: 1 day, 17:22:57, time: 1.868, data_time: 0.016, memory: 42763, decode.loss_cls: 2.4593, decode.loss_mask: 1.1359, decode.loss_dice: 1.9630, decode.d0.loss_cls: 10.2826, decode.d0.loss_mask: 1.1312, decode.d0.loss_dice: 2.3918, decode.d1.loss_cls: 2.7368, decode.d1.loss_mask: 1.1472, decode.d1.loss_dice: 2.0799, decode.d2.loss_cls: 2.5707, decode.d2.loss_mask: 1.1400, decode.d2.loss_dice: 1.9928, decode.d3.loss_cls: 2.5002, decode.d3.loss_mask: 1.1395, decode.d3.loss_dice: 1.9599, decode.d4.loss_cls: 2.4709, decode.d4.loss_mask: 1.1265, decode.d4.loss_dice: 1.9384, decode.d5.loss_cls: 2.4555, decode.d5.loss_mask: 1.1261, decode.d5.loss_dice: 1.9352, decode.d6.loss_cls: 2.4403, decode.d6.loss_mask: 1.1299, decode.d6.loss_dice: 1.9427, decode.d7.loss_cls: 2.4344, decode.d7.loss_mask: 1.1228, decode.d7.loss_dice: 1.9473, decode.d8.loss_cls: 2.4294, decode.d8.loss_mask: 1.1334, decode.d8.loss_dice: 1.9527, loss: 64.2163 2022-09-12 04:59:50,797 - mmseg - INFO - Iter [1850/80000] lr: 1.403e-06, eta: 1 day, 17:20:22, time: 1.877, data_time: 0.016, memory: 42763, decode.loss_cls: 2.3850, decode.loss_mask: 1.1088, decode.loss_dice: 1.8954, decode.d0.loss_cls: 10.2691, decode.d0.loss_mask: 1.1091, decode.d0.loss_dice: 2.3232, decode.d1.loss_cls: 2.6350, decode.d1.loss_mask: 1.1278, decode.d1.loss_dice: 2.0143, decode.d2.loss_cls: 2.4767, decode.d2.loss_mask: 1.1195, decode.d2.loss_dice: 1.9272, decode.d3.loss_cls: 2.4180, decode.d3.loss_mask: 1.1144, decode.d3.loss_dice: 1.8969, decode.d4.loss_cls: 2.4005, decode.d4.loss_mask: 1.1119, decode.d4.loss_dice: 1.8942, decode.d5.loss_cls: 2.3896, decode.d5.loss_mask: 1.1077, decode.d5.loss_dice: 1.8815, decode.d6.loss_cls: 2.3786, decode.d6.loss_mask: 1.1120, decode.d6.loss_dice: 1.8851, decode.d7.loss_cls: 2.3726, decode.d7.loss_mask: 1.1095, decode.d7.loss_dice: 1.8877, decode.d8.loss_cls: 2.3640, decode.d8.loss_mask: 1.1085, decode.d8.loss_dice: 1.8796, loss: 62.7032 2022-09-12 05:01:23,608 - mmseg - INFO - Iter [1900/80000] lr: 1.402e-06, eta: 1 day, 17:17:08, time: 1.856, data_time: 0.015, memory: 42763, decode.loss_cls: 2.3413, decode.loss_mask: 1.1158, decode.loss_dice: 1.9223, decode.d0.loss_cls: 10.2528, decode.d0.loss_mask: 1.1119, decode.d0.loss_dice: 2.3336, decode.d1.loss_cls: 2.6210, decode.d1.loss_mask: 1.1355, decode.d1.loss_dice: 2.0309, decode.d2.loss_cls: 2.4579, decode.d2.loss_mask: 1.1210, decode.d2.loss_dice: 1.9467, decode.d3.loss_cls: 2.3896, decode.d3.loss_mask: 1.1170, decode.d3.loss_dice: 1.9207, decode.d4.loss_cls: 2.3626, decode.d4.loss_mask: 1.1149, decode.d4.loss_dice: 1.9141, decode.d5.loss_cls: 2.3531, decode.d5.loss_mask: 1.1039, decode.d5.loss_dice: 1.8931, decode.d6.loss_cls: 2.3356, decode.d6.loss_mask: 1.1064, decode.d6.loss_dice: 1.9139, decode.d7.loss_cls: 2.3319, decode.d7.loss_mask: 1.1075, decode.d7.loss_dice: 1.9103, decode.d8.loss_cls: 2.3264, decode.d8.loss_mask: 1.1052, decode.d8.loss_dice: 1.9079, loss: 62.6048 2022-09-12 05:02:56,729 - mmseg - INFO - Iter [1950/80000] lr: 1.401e-06, eta: 1 day, 17:14:11, time: 1.862, data_time: 0.016, memory: 42763, decode.loss_cls: 2.3557, decode.loss_mask: 1.1148, decode.loss_dice: 1.8942, decode.d0.loss_cls: 10.2403, decode.d0.loss_mask: 1.1093, decode.d0.loss_dice: 2.3104, decode.d1.loss_cls: 2.6740, decode.d1.loss_mask: 1.1115, decode.d1.loss_dice: 2.0013, decode.d2.loss_cls: 2.4909, decode.d2.loss_mask: 1.1180, decode.d2.loss_dice: 1.9227, decode.d3.loss_cls: 2.4171, decode.d3.loss_mask: 1.1158, decode.d3.loss_dice: 1.9042, decode.d4.loss_cls: 2.3930, decode.d4.loss_mask: 1.1071, decode.d4.loss_dice: 1.8998, decode.d5.loss_cls: 2.3810, decode.d5.loss_mask: 1.1004, decode.d5.loss_dice: 1.8786, decode.d6.loss_cls: 2.3583, decode.d6.loss_mask: 1.1041, decode.d6.loss_dice: 1.8786, decode.d7.loss_cls: 2.3428, decode.d7.loss_mask: 1.1051, decode.d7.loss_dice: 1.8867, decode.d8.loss_cls: 2.3334, decode.d8.loss_mask: 1.1131, decode.d8.loss_dice: 1.8842, loss: 62.5462 2022-09-12 05:04:30,474 - mmseg - INFO - Saving checkpoint at 2000 iterations 2022-09-12 05:05:00,524 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 05:05:00,533 - mmseg - INFO - Iter [2000/80000] lr: 1.400e-06, eta: 1 day, 17:31:10, time: 2.473, data_time: 0.016, memory: 42763, decode.loss_cls: 2.3415, decode.loss_mask: 1.1192, decode.loss_dice: 1.8920, decode.d0.loss_cls: 10.2238, decode.d0.loss_mask: 1.1203, decode.d0.loss_dice: 2.2996, decode.d1.loss_cls: 2.6236, decode.d1.loss_mask: 1.1430, decode.d1.loss_dice: 1.9953, decode.d2.loss_cls: 2.4474, decode.d2.loss_mask: 1.1302, decode.d2.loss_dice: 1.9157, decode.d3.loss_cls: 2.3900, decode.d3.loss_mask: 1.1225, decode.d3.loss_dice: 1.8980, decode.d4.loss_cls: 2.3540, decode.d4.loss_mask: 1.1161, decode.d4.loss_dice: 1.8911, decode.d5.loss_cls: 2.3473, decode.d5.loss_mask: 1.1129, decode.d5.loss_dice: 1.8792, decode.d6.loss_cls: 2.3391, decode.d6.loss_mask: 1.1156, decode.d6.loss_dice: 1.8764, decode.d7.loss_cls: 2.3274, decode.d7.loss_mask: 1.1104, decode.d7.loss_dice: 1.8903, decode.d8.loss_cls: 2.3169, decode.d8.loss_mask: 1.1165, decode.d8.loss_dice: 1.8886, loss: 62.3439 2022-09-12 05:06:34,844 - mmseg - INFO - Iter [2050/80000] lr: 1.399e-06, eta: 1 day, 17:28:42, time: 1.889, data_time: 0.019, memory: 42763, decode.loss_cls: 2.2473, decode.loss_mask: 1.0952, decode.loss_dice: 1.8509, decode.d0.loss_cls: 10.2142, decode.d0.loss_mask: 1.0917, decode.d0.loss_dice: 2.2707, decode.d1.loss_cls: 2.5589, decode.d1.loss_mask: 1.1032, decode.d1.loss_dice: 1.9676, decode.d2.loss_cls: 2.3890, decode.d2.loss_mask: 1.0901, decode.d2.loss_dice: 1.8804, decode.d3.loss_cls: 2.3096, decode.d3.loss_mask: 1.0890, decode.d3.loss_dice: 1.8475, decode.d4.loss_cls: 2.2845, decode.d4.loss_mask: 1.0804, decode.d4.loss_dice: 1.8395, decode.d5.loss_cls: 2.2677, decode.d5.loss_mask: 1.0822, decode.d5.loss_dice: 1.8269, decode.d6.loss_cls: 2.2508, decode.d6.loss_mask: 1.0792, decode.d6.loss_dice: 1.8288, decode.d7.loss_cls: 2.2354, decode.d7.loss_mask: 1.0897, decode.d7.loss_dice: 1.8358, decode.d8.loss_cls: 2.2333, decode.d8.loss_mask: 1.0915, decode.d8.loss_dice: 1.8334, loss: 60.8641 2022-09-12 05:08:08,450 - mmseg - INFO - Iter [2100/80000] lr: 1.398e-06, eta: 1 day, 17:25:46, time: 1.872, data_time: 0.017, memory: 42763, decode.loss_cls: 2.2645, decode.loss_mask: 1.0688, decode.loss_dice: 1.8598, decode.d0.loss_cls: 10.1913, decode.d0.loss_mask: 1.0750, decode.d0.loss_dice: 2.2686, decode.d1.loss_cls: 2.5605, decode.d1.loss_mask: 1.0959, decode.d1.loss_dice: 1.9689, decode.d2.loss_cls: 2.3955, decode.d2.loss_mask: 1.0728, decode.d2.loss_dice: 1.8823, decode.d3.loss_cls: 2.3311, decode.d3.loss_mask: 1.0731, decode.d3.loss_dice: 1.8585, decode.d4.loss_cls: 2.2923, decode.d4.loss_mask: 1.0676, decode.d4.loss_dice: 1.8584, decode.d5.loss_cls: 2.2765, decode.d5.loss_mask: 1.0658, decode.d5.loss_dice: 1.8419, decode.d6.loss_cls: 2.2619, decode.d6.loss_mask: 1.0697, decode.d6.loss_dice: 1.8522, decode.d7.loss_cls: 2.2589, decode.d7.loss_mask: 1.0667, decode.d7.loss_dice: 1.8500, decode.d8.loss_cls: 2.2496, decode.d8.loss_mask: 1.0777, decode.d8.loss_dice: 1.8543, loss: 60.9100 2022-09-12 05:09:42,463 - mmseg - INFO - Iter [2150/80000] lr: 1.397e-06, eta: 1 day, 17:23:08, time: 1.880, data_time: 0.015, memory: 42763, decode.loss_cls: 2.2242, decode.loss_mask: 1.0853, decode.loss_dice: 1.8041, decode.d0.loss_cls: 10.1729, decode.d0.loss_mask: 1.0791, decode.d0.loss_dice: 2.2052, decode.d1.loss_cls: 2.5167, decode.d1.loss_mask: 1.0973, decode.d1.loss_dice: 1.9109, decode.d2.loss_cls: 2.3466, decode.d2.loss_mask: 1.0764, decode.d2.loss_dice: 1.8383, decode.d3.loss_cls: 2.2835, decode.d3.loss_mask: 1.0725, decode.d3.loss_dice: 1.8138, decode.d4.loss_cls: 2.2420, decode.d4.loss_mask: 1.0809, decode.d4.loss_dice: 1.8162, decode.d5.loss_cls: 2.2286, decode.d5.loss_mask: 1.0830, decode.d5.loss_dice: 1.8084, decode.d6.loss_cls: 2.2116, decode.d6.loss_mask: 1.0838, decode.d6.loss_dice: 1.8024, decode.d7.loss_cls: 2.2197, decode.d7.loss_mask: 1.0786, decode.d7.loss_dice: 1.8070, decode.d8.loss_cls: 2.2090, decode.d8.loss_mask: 1.0825, decode.d8.loss_dice: 1.8082, loss: 60.0887 2022-09-12 05:11:14,996 - mmseg - INFO - Iter [2200/80000] lr: 1.396e-06, eta: 1 day, 17:19:41, time: 1.851, data_time: 0.014, memory: 42763, decode.loss_cls: 2.1301, decode.loss_mask: 1.0587, decode.loss_dice: 1.7740, decode.d0.loss_cls: 10.1508, decode.d0.loss_mask: 1.0537, decode.d0.loss_dice: 2.1543, decode.d1.loss_cls: 2.4179, decode.d1.loss_mask: 1.0709, decode.d1.loss_dice: 1.8697, decode.d2.loss_cls: 2.2446, decode.d2.loss_mask: 1.0626, decode.d2.loss_dice: 1.7922, decode.d3.loss_cls: 2.1918, decode.d3.loss_mask: 1.0489, decode.d3.loss_dice: 1.7656, decode.d4.loss_cls: 2.1551, decode.d4.loss_mask: 1.0452, decode.d4.loss_dice: 1.7700, decode.d5.loss_cls: 2.1303, decode.d5.loss_mask: 1.0530, decode.d5.loss_dice: 1.7566, decode.d6.loss_cls: 2.1224, decode.d6.loss_mask: 1.0547, decode.d6.loss_dice: 1.7599, decode.d7.loss_cls: 2.1133, decode.d7.loss_mask: 1.0513, decode.d7.loss_dice: 1.7588, decode.d8.loss_cls: 2.1127, decode.d8.loss_mask: 1.0548, decode.d8.loss_dice: 1.7640, loss: 58.4880 2022-09-12 05:12:48,392 - mmseg - INFO - Iter [2250/80000] lr: 1.395e-06, eta: 1 day, 17:16:48, time: 1.868, data_time: 0.016, memory: 42763, decode.loss_cls: 2.1726, decode.loss_mask: 1.0494, decode.loss_dice: 1.7615, decode.d0.loss_cls: 10.1391, decode.d0.loss_mask: 1.0516, decode.d0.loss_dice: 2.1603, decode.d1.loss_cls: 2.4923, decode.d1.loss_mask: 1.0578, decode.d1.loss_dice: 1.8585, decode.d2.loss_cls: 2.3018, decode.d2.loss_mask: 1.0460, decode.d2.loss_dice: 1.7829, decode.d3.loss_cls: 2.2449, decode.d3.loss_mask: 1.0472, decode.d3.loss_dice: 1.7649, decode.d4.loss_cls: 2.2041, decode.d4.loss_mask: 1.0397, decode.d4.loss_dice: 1.7594, decode.d5.loss_cls: 2.1792, decode.d5.loss_mask: 1.0357, decode.d5.loss_dice: 1.7499, decode.d6.loss_cls: 2.1681, decode.d6.loss_mask: 1.0379, decode.d6.loss_dice: 1.7474, decode.d7.loss_cls: 2.1580, decode.d7.loss_mask: 1.0343, decode.d7.loss_dice: 1.7540, decode.d8.loss_cls: 2.1525, decode.d8.loss_mask: 1.0465, decode.d8.loss_dice: 1.7511, loss: 58.7488 2022-09-12 05:14:22,347 - mmseg - INFO - Iter [2300/80000] lr: 1.395e-06, eta: 1 day, 17:14:18, time: 1.879, data_time: 0.019, memory: 42763, decode.loss_cls: 2.0997, decode.loss_mask: 1.0548, decode.loss_dice: 1.7441, decode.d0.loss_cls: 10.1211, decode.d0.loss_mask: 1.0467, decode.d0.loss_dice: 2.1236, decode.d1.loss_cls: 2.4245, decode.d1.loss_mask: 1.0635, decode.d1.loss_dice: 1.8289, decode.d2.loss_cls: 2.2377, decode.d2.loss_mask: 1.0554, decode.d2.loss_dice: 1.7591, decode.d3.loss_cls: 2.1638, decode.d3.loss_mask: 1.0497, decode.d3.loss_dice: 1.7329, decode.d4.loss_cls: 2.1357, decode.d4.loss_mask: 1.0476, decode.d4.loss_dice: 1.7375, decode.d5.loss_cls: 2.1105, decode.d5.loss_mask: 1.0467, decode.d5.loss_dice: 1.7262, decode.d6.loss_cls: 2.1024, decode.d6.loss_mask: 1.0473, decode.d6.loss_dice: 1.7232, decode.d7.loss_cls: 2.0886, decode.d7.loss_mask: 1.0537, decode.d7.loss_dice: 1.7321, decode.d8.loss_cls: 2.0789, decode.d8.loss_mask: 1.0588, decode.d8.loss_dice: 1.7336, loss: 57.9283 2022-09-12 05:15:55,379 - mmseg - INFO - Iter [2350/80000] lr: 1.394e-06, eta: 1 day, 17:11:20, time: 1.861, data_time: 0.015, memory: 42763, decode.loss_cls: 2.1950, decode.loss_mask: 1.0476, decode.loss_dice: 1.7450, decode.d0.loss_cls: 10.1002, decode.d0.loss_mask: 1.0514, decode.d0.loss_dice: 2.1564, decode.d1.loss_cls: 2.5139, decode.d1.loss_mask: 1.0640, decode.d1.loss_dice: 1.8656, decode.d2.loss_cls: 2.3318, decode.d2.loss_mask: 1.0469, decode.d2.loss_dice: 1.7809, decode.d3.loss_cls: 2.2629, decode.d3.loss_mask: 1.0403, decode.d3.loss_dice: 1.7492, decode.d4.loss_cls: 2.2162, decode.d4.loss_mask: 1.0476, decode.d4.loss_dice: 1.7523, decode.d5.loss_cls: 2.1965, decode.d5.loss_mask: 1.0376, decode.d5.loss_dice: 1.7365, decode.d6.loss_cls: 2.1859, decode.d6.loss_mask: 1.0464, decode.d6.loss_dice: 1.7385, decode.d7.loss_cls: 2.1837, decode.d7.loss_mask: 1.0453, decode.d7.loss_dice: 1.7321, decode.d8.loss_cls: 2.1764, decode.d8.loss_mask: 1.0415, decode.d8.loss_dice: 1.7294, loss: 58.8171 2022-09-12 05:17:29,091 - mmseg - INFO - Iter [2400/80000] lr: 1.393e-06, eta: 1 day, 17:08:47, time: 1.874, data_time: 0.015, memory: 42763, decode.loss_cls: 2.1441, decode.loss_mask: 1.0141, decode.loss_dice: 1.7558, decode.d0.loss_cls: 10.0851, decode.d0.loss_mask: 1.0118, decode.d0.loss_dice: 2.1606, decode.d1.loss_cls: 2.4843, decode.d1.loss_mask: 1.0255, decode.d1.loss_dice: 1.8582, decode.d2.loss_cls: 2.2944, decode.d2.loss_mask: 1.0212, decode.d2.loss_dice: 1.7799, decode.d3.loss_cls: 2.2184, decode.d3.loss_mask: 1.0136, decode.d3.loss_dice: 1.7595, decode.d4.loss_cls: 2.1771, decode.d4.loss_mask: 1.0148, decode.d4.loss_dice: 1.7517, decode.d5.loss_cls: 2.1584, decode.d5.loss_mask: 1.0036, decode.d5.loss_dice: 1.7436, decode.d6.loss_cls: 2.1503, decode.d6.loss_mask: 1.0090, decode.d6.loss_dice: 1.7405, decode.d7.loss_cls: 2.1267, decode.d7.loss_mask: 1.0137, decode.d7.loss_dice: 1.7438, decode.d8.loss_cls: 2.1315, decode.d8.loss_mask: 1.0101, decode.d8.loss_dice: 1.7415, loss: 58.1429 2022-09-12 05:19:05,275 - mmseg - INFO - Iter [2450/80000] lr: 1.392e-06, eta: 1 day, 17:07:35, time: 1.924, data_time: 0.016, memory: 42763, decode.loss_cls: 2.0570, decode.loss_mask: 1.0406, decode.loss_dice: 1.7477, decode.d0.loss_cls: 10.0604, decode.d0.loss_mask: 1.0292, decode.d0.loss_dice: 2.1215, decode.d1.loss_cls: 2.3883, decode.d1.loss_mask: 1.0597, decode.d1.loss_dice: 1.8437, decode.d2.loss_cls: 2.1938, decode.d2.loss_mask: 1.0421, decode.d2.loss_dice: 1.7717, decode.d3.loss_cls: 2.1329, decode.d3.loss_mask: 1.0373, decode.d3.loss_dice: 1.7428, decode.d4.loss_cls: 2.0953, decode.d4.loss_mask: 1.0361, decode.d4.loss_dice: 1.7544, decode.d5.loss_cls: 2.0705, decode.d5.loss_mask: 1.0373, decode.d5.loss_dice: 1.7407, decode.d6.loss_cls: 2.0571, decode.d6.loss_mask: 1.0417, decode.d6.loss_dice: 1.7436, decode.d7.loss_cls: 2.0473, decode.d7.loss_mask: 1.0325, decode.d7.loss_dice: 1.7458, decode.d8.loss_cls: 2.0362, decode.d8.loss_mask: 1.0395, decode.d8.loss_dice: 1.7457, loss: 57.4924 2022-09-12 05:20:41,030 - mmseg - INFO - Iter [2500/80000] lr: 1.391e-06, eta: 1 day, 17:06:09, time: 1.915, data_time: 0.016, memory: 42763, decode.loss_cls: 2.0718, decode.loss_mask: 1.0357, decode.loss_dice: 1.7487, decode.d0.loss_cls: 10.0474, decode.d0.loss_mask: 1.0303, decode.d0.loss_dice: 2.1293, decode.d1.loss_cls: 2.4137, decode.d1.loss_mask: 1.0419, decode.d1.loss_dice: 1.8390, decode.d2.loss_cls: 2.2204, decode.d2.loss_mask: 1.0344, decode.d2.loss_dice: 1.7666, decode.d3.loss_cls: 2.1481, decode.d3.loss_mask: 1.0261, decode.d3.loss_dice: 1.7433, decode.d4.loss_cls: 2.1062, decode.d4.loss_mask: 1.0362, decode.d4.loss_dice: 1.7524, decode.d5.loss_cls: 2.0886, decode.d5.loss_mask: 1.0274, decode.d5.loss_dice: 1.7418, decode.d6.loss_cls: 2.0763, decode.d6.loss_mask: 1.0268, decode.d6.loss_dice: 1.7387, decode.d7.loss_cls: 2.0711, decode.d7.loss_mask: 1.0277, decode.d7.loss_dice: 1.7482, decode.d8.loss_cls: 2.0677, decode.d8.loss_mask: 1.0278, decode.d8.loss_dice: 1.7461, loss: 57.5799 2022-09-12 05:22:15,298 - mmseg - INFO - Iter [2550/80000] lr: 1.390e-06, eta: 1 day, 17:03:57, time: 1.885, data_time: 0.017, memory: 42763, decode.loss_cls: 2.0444, decode.loss_mask: 1.0395, decode.loss_dice: 1.7390, decode.d0.loss_cls: 10.0253, decode.d0.loss_mask: 1.0380, decode.d0.loss_dice: 2.1088, decode.d1.loss_cls: 2.3724, decode.d1.loss_mask: 1.0492, decode.d1.loss_dice: 1.8240, decode.d2.loss_cls: 2.1747, decode.d2.loss_mask: 1.0431, decode.d2.loss_dice: 1.7558, decode.d3.loss_cls: 2.1104, decode.d3.loss_mask: 1.0376, decode.d3.loss_dice: 1.7372, decode.d4.loss_cls: 2.0608, decode.d4.loss_mask: 1.0396, decode.d4.loss_dice: 1.7414, decode.d5.loss_cls: 2.0388, decode.d5.loss_mask: 1.0387, decode.d5.loss_dice: 1.7294, decode.d6.loss_cls: 2.0361, decode.d6.loss_mask: 1.0377, decode.d6.loss_dice: 1.7236, decode.d7.loss_cls: 2.0258, decode.d7.loss_mask: 1.0414, decode.d7.loss_dice: 1.7281, decode.d8.loss_cls: 2.0242, decode.d8.loss_mask: 1.0382, decode.d8.loss_dice: 1.7337, loss: 57.1369 2022-09-12 05:23:50,221 - mmseg - INFO - Iter [2600/80000] lr: 1.389e-06, eta: 1 day, 17:02:06, time: 1.899, data_time: 0.014, memory: 42763, decode.loss_cls: 2.0414, decode.loss_mask: 1.0452, decode.loss_dice: 1.7476, decode.d0.loss_cls: 10.0112, decode.d0.loss_mask: 1.0335, decode.d0.loss_dice: 2.1254, decode.d1.loss_cls: 2.3997, decode.d1.loss_mask: 1.0429, decode.d1.loss_dice: 1.8385, decode.d2.loss_cls: 2.2083, decode.d2.loss_mask: 1.0297, decode.d2.loss_dice: 1.7686, decode.d3.loss_cls: 2.1318, decode.d3.loss_mask: 1.0329, decode.d3.loss_dice: 1.7451, decode.d4.loss_cls: 2.0907, decode.d4.loss_mask: 1.0291, decode.d4.loss_dice: 1.7470, decode.d5.loss_cls: 2.0663, decode.d5.loss_mask: 1.0316, decode.d5.loss_dice: 1.7341, decode.d6.loss_cls: 2.0555, decode.d6.loss_mask: 1.0296, decode.d6.loss_dice: 1.7355, decode.d7.loss_cls: 2.0448, decode.d7.loss_mask: 1.0297, decode.d7.loss_dice: 1.7332, decode.d8.loss_cls: 2.0347, decode.d8.loss_mask: 1.0300, decode.d8.loss_dice: 1.7361, loss: 57.3298 2022-09-12 05:25:26,016 - mmseg - INFO - Iter [2650/80000] lr: 1.388e-06, eta: 1 day, 17:00:42, time: 1.916, data_time: 0.016, memory: 42763, decode.loss_cls: 1.9178, decode.loss_mask: 1.0315, decode.loss_dice: 1.6515, decode.d0.loss_cls: 9.9865, decode.d0.loss_mask: 1.0112, decode.d0.loss_dice: 2.0117, decode.d1.loss_cls: 2.2729, decode.d1.loss_mask: 1.0250, decode.d1.loss_dice: 1.7382, decode.d2.loss_cls: 2.0757, decode.d2.loss_mask: 1.0256, decode.d2.loss_dice: 1.6612, decode.d3.loss_cls: 2.0013, decode.d3.loss_mask: 1.0185, decode.d3.loss_dice: 1.6383, decode.d4.loss_cls: 1.9562, decode.d4.loss_mask: 1.0157, decode.d4.loss_dice: 1.6417, decode.d5.loss_cls: 1.9274, decode.d5.loss_mask: 1.0214, decode.d5.loss_dice: 1.6355, decode.d6.loss_cls: 1.9235, decode.d6.loss_mask: 1.0252, decode.d6.loss_dice: 1.6381, decode.d7.loss_cls: 1.9117, decode.d7.loss_mask: 1.0242, decode.d7.loss_dice: 1.6352, decode.d8.loss_cls: 1.9097, decode.d8.loss_mask: 1.0252, decode.d8.loss_dice: 1.6465, loss: 55.0042 2022-09-12 05:26:58,635 - mmseg - INFO - Iter [2700/80000] lr: 1.387e-06, eta: 1 day, 16:57:45, time: 1.852, data_time: 0.014, memory: 42763, decode.loss_cls: 1.9572, decode.loss_mask: 1.0342, decode.loss_dice: 1.7367, decode.d0.loss_cls: 9.9680, decode.d0.loss_mask: 1.0291, decode.d0.loss_dice: 2.1007, decode.d1.loss_cls: 2.3092, decode.d1.loss_mask: 1.0458, decode.d1.loss_dice: 1.8251, decode.d2.loss_cls: 2.1075, decode.d2.loss_mask: 1.0382, decode.d2.loss_dice: 1.7610, decode.d3.loss_cls: 2.0305, decode.d3.loss_mask: 1.0464, decode.d3.loss_dice: 1.7426, decode.d4.loss_cls: 1.9805, decode.d4.loss_mask: 1.0448, decode.d4.loss_dice: 1.7313, decode.d5.loss_cls: 1.9567, decode.d5.loss_mask: 1.0489, decode.d5.loss_dice: 1.7158, decode.d6.loss_cls: 1.9581, decode.d6.loss_mask: 1.0382, decode.d6.loss_dice: 1.7162, decode.d7.loss_cls: 1.9463, decode.d7.loss_mask: 1.0365, decode.d7.loss_dice: 1.7229, decode.d8.loss_cls: 1.9396, decode.d8.loss_mask: 1.0425, decode.d8.loss_dice: 1.7235, loss: 56.3337 2022-09-12 05:28:33,233 - mmseg - INFO - Iter [2750/80000] lr: 1.386e-06, eta: 1 day, 16:55:48, time: 1.892, data_time: 0.015, memory: 42763, decode.loss_cls: 1.9845, decode.loss_mask: 1.0071, decode.loss_dice: 1.7213, decode.d0.loss_cls: 9.9536, decode.d0.loss_mask: 0.9931, decode.d0.loss_dice: 2.0860, decode.d1.loss_cls: 2.3474, decode.d1.loss_mask: 1.0149, decode.d1.loss_dice: 1.8091, decode.d2.loss_cls: 2.1499, decode.d2.loss_mask: 1.0012, decode.d2.loss_dice: 1.7400, decode.d3.loss_cls: 2.0793, decode.d3.loss_mask: 0.9945, decode.d3.loss_dice: 1.7137, decode.d4.loss_cls: 2.0190, decode.d4.loss_mask: 1.0034, decode.d4.loss_dice: 1.7215, decode.d5.loss_cls: 1.9999, decode.d5.loss_mask: 1.0034, decode.d5.loss_dice: 1.7167, decode.d6.loss_cls: 1.9823, decode.d6.loss_mask: 1.0042, decode.d6.loss_dice: 1.7063, decode.d7.loss_cls: 1.9808, decode.d7.loss_mask: 1.0040, decode.d7.loss_dice: 1.7074, decode.d8.loss_cls: 1.9743, decode.d8.loss_mask: 1.0054, decode.d8.loss_dice: 1.7062, loss: 56.1301 2022-09-12 05:30:09,016 - mmseg - INFO - Iter [2800/80000] lr: 1.386e-06, eta: 1 day, 16:54:24, time: 1.916, data_time: 0.016, memory: 42763, decode.loss_cls: 1.9394, decode.loss_mask: 0.9834, decode.loss_dice: 1.6824, decode.d0.loss_cls: 9.9343, decode.d0.loss_mask: 0.9902, decode.d0.loss_dice: 2.0465, decode.d1.loss_cls: 2.3075, decode.d1.loss_mask: 0.9931, decode.d1.loss_dice: 1.7747, decode.d2.loss_cls: 2.0902, decode.d2.loss_mask: 0.9885, decode.d2.loss_dice: 1.7043, decode.d3.loss_cls: 2.0120, decode.d3.loss_mask: 0.9913, decode.d3.loss_dice: 1.6791, decode.d4.loss_cls: 1.9725, decode.d4.loss_mask: 0.9934, decode.d4.loss_dice: 1.6872, decode.d5.loss_cls: 1.9469, decode.d5.loss_mask: 0.9922, decode.d5.loss_dice: 1.6779, decode.d6.loss_cls: 1.9348, decode.d6.loss_mask: 0.9922, decode.d6.loss_dice: 1.6715, decode.d7.loss_cls: 1.9324, decode.d7.loss_mask: 0.9813, decode.d7.loss_dice: 1.6709, decode.d8.loss_cls: 1.9196, decode.d8.loss_mask: 0.9851, decode.d8.loss_dice: 1.6719, loss: 55.1468 2022-09-12 05:31:42,326 - mmseg - INFO - Iter [2850/80000] lr: 1.385e-06, eta: 1 day, 16:51:53, time: 1.866, data_time: 0.016, memory: 42763, decode.loss_cls: 1.8848, decode.loss_mask: 1.0149, decode.loss_dice: 1.6805, decode.d0.loss_cls: 9.9110, decode.d0.loss_mask: 0.9981, decode.d0.loss_dice: 2.0324, decode.d1.loss_cls: 2.2228, decode.d1.loss_mask: 1.0190, decode.d1.loss_dice: 1.7751, decode.d2.loss_cls: 2.0286, decode.d2.loss_mask: 1.0138, decode.d2.loss_dice: 1.7123, decode.d3.loss_cls: 1.9684, decode.d3.loss_mask: 1.0126, decode.d3.loss_dice: 1.6771, decode.d4.loss_cls: 1.9210, decode.d4.loss_mask: 1.0101, decode.d4.loss_dice: 1.6693, decode.d5.loss_cls: 1.8954, decode.d5.loss_mask: 1.0138, decode.d5.loss_dice: 1.6582, decode.d6.loss_cls: 1.8818, decode.d6.loss_mask: 1.0047, decode.d6.loss_dice: 1.6594, decode.d7.loss_cls: 1.8732, decode.d7.loss_mask: 1.0040, decode.d7.loss_dice: 1.6669, decode.d8.loss_cls: 1.8700, decode.d8.loss_mask: 1.0121, decode.d8.loss_dice: 1.6700, loss: 54.7613 2022-09-12 05:33:16,953 - mmseg - INFO - Iter [2900/80000] lr: 1.384e-06, eta: 1 day, 16:49:58, time: 1.893, data_time: 0.019, memory: 42763, decode.loss_cls: 1.8893, decode.loss_mask: 1.0272, decode.loss_dice: 1.6696, decode.d0.loss_cls: 9.8936, decode.d0.loss_mask: 1.0150, decode.d0.loss_dice: 2.0340, decode.d1.loss_cls: 2.2422, decode.d1.loss_mask: 1.0329, decode.d1.loss_dice: 1.7638, decode.d2.loss_cls: 2.0354, decode.d2.loss_mask: 1.0167, decode.d2.loss_dice: 1.6893, decode.d3.loss_cls: 1.9718, decode.d3.loss_mask: 1.0161, decode.d3.loss_dice: 1.6733, decode.d4.loss_cls: 1.9257, decode.d4.loss_mask: 1.0200, decode.d4.loss_dice: 1.6741, decode.d5.loss_cls: 1.8973, decode.d5.loss_mask: 1.0245, decode.d5.loss_dice: 1.6607, decode.d6.loss_cls: 1.8886, decode.d6.loss_mask: 1.0167, decode.d6.loss_dice: 1.6577, decode.d7.loss_cls: 1.8736, decode.d7.loss_mask: 1.0264, decode.d7.loss_dice: 1.6640, decode.d8.loss_cls: 1.8664, decode.d8.loss_mask: 1.0254, decode.d8.loss_dice: 1.6722, loss: 54.8634 2022-09-12 05:34:51,892 - mmseg - INFO - Iter [2950/80000] lr: 1.383e-06, eta: 1 day, 16:48:12, time: 1.898, data_time: 0.015, memory: 42763, decode.loss_cls: 1.9317, decode.loss_mask: 0.9748, decode.loss_dice: 1.7344, decode.d0.loss_cls: 9.8738, decode.d0.loss_mask: 0.9731, decode.d0.loss_dice: 2.1098, decode.d1.loss_cls: 2.2949, decode.d1.loss_mask: 0.9770, decode.d1.loss_dice: 1.8289, decode.d2.loss_cls: 2.0958, decode.d2.loss_mask: 0.9640, decode.d2.loss_dice: 1.7627, decode.d3.loss_cls: 2.0181, decode.d3.loss_mask: 0.9694, decode.d3.loss_dice: 1.7304, decode.d4.loss_cls: 1.9698, decode.d4.loss_mask: 0.9688, decode.d4.loss_dice: 1.7311, decode.d5.loss_cls: 1.9355, decode.d5.loss_mask: 0.9703, decode.d5.loss_dice: 1.7326, decode.d6.loss_cls: 1.9325, decode.d6.loss_mask: 0.9725, decode.d6.loss_dice: 1.7245, decode.d7.loss_cls: 1.9218, decode.d7.loss_mask: 0.9691, decode.d7.loss_dice: 1.7287, decode.d8.loss_cls: 1.9194, decode.d8.loss_mask: 0.9720, decode.d8.loss_dice: 1.7306, loss: 55.4180 2022-09-12 05:36:26,883 - mmseg - INFO - Saving checkpoint at 3000 iterations 2022-09-12 05:36:59,050 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 05:36:59,054 - mmseg - INFO - Iter [3000/80000] lr: 1.382e-06, eta: 1 day, 17:00:07, time: 2.538, data_time: 0.015, memory: 42763, decode.loss_cls: 1.8294, decode.loss_mask: 0.9793, decode.loss_dice: 1.6010, decode.d0.loss_cls: 9.8452, decode.d0.loss_mask: 0.9755, decode.d0.loss_dice: 1.9702, decode.d1.loss_cls: 2.1975, decode.d1.loss_mask: 0.9851, decode.d1.loss_dice: 1.6929, decode.d2.loss_cls: 1.9838, decode.d2.loss_mask: 0.9786, decode.d2.loss_dice: 1.6268, decode.d3.loss_cls: 1.9075, decode.d3.loss_mask: 0.9751, decode.d3.loss_dice: 1.6055, decode.d4.loss_cls: 1.8544, decode.d4.loss_mask: 0.9783, decode.d4.loss_dice: 1.6072, decode.d5.loss_cls: 1.8322, decode.d5.loss_mask: 0.9792, decode.d5.loss_dice: 1.5969, decode.d6.loss_cls: 1.8173, decode.d6.loss_mask: 0.9791, decode.d6.loss_dice: 1.5975, decode.d7.loss_cls: 1.8176, decode.d7.loss_mask: 0.9787, decode.d7.loss_dice: 1.6040, decode.d8.loss_cls: 1.8117, decode.d8.loss_mask: 0.9807, decode.d8.loss_dice: 1.5952, loss: 53.1838 2022-09-12 05:38:34,406 - mmseg - INFO - Iter [3050/80000] lr: 1.381e-06, eta: 1 day, 16:58:26, time: 1.913, data_time: 0.021, memory: 42763, decode.loss_cls: 1.7949, decode.loss_mask: 0.9974, decode.loss_dice: 1.6319, decode.d0.loss_cls: 9.8214, decode.d0.loss_mask: 0.9801, decode.d0.loss_dice: 1.9638, decode.d1.loss_cls: 2.1493, decode.d1.loss_mask: 1.0069, decode.d1.loss_dice: 1.7185, decode.d2.loss_cls: 1.9386, decode.d2.loss_mask: 0.9950, decode.d2.loss_dice: 1.6497, decode.d3.loss_cls: 1.8606, decode.d3.loss_mask: 0.9996, decode.d3.loss_dice: 1.6190, decode.d4.loss_cls: 1.8100, decode.d4.loss_mask: 1.0049, decode.d4.loss_dice: 1.6239, decode.d5.loss_cls: 1.7821, decode.d5.loss_mask: 1.0027, decode.d5.loss_dice: 1.6117, decode.d6.loss_cls: 1.7741, decode.d6.loss_mask: 1.0060, decode.d6.loss_dice: 1.6068, decode.d7.loss_cls: 1.7701, decode.d7.loss_mask: 1.0010, decode.d7.loss_dice: 1.6185, decode.d8.loss_cls: 1.7686, decode.d8.loss_mask: 1.0003, decode.d8.loss_dice: 1.6179, loss: 53.1255 2022-09-12 05:40:08,644 - mmseg - INFO - Iter [3100/80000] lr: 1.380e-06, eta: 1 day, 16:56:10, time: 1.885, data_time: 0.015, memory: 42763, decode.loss_cls: 1.8415, decode.loss_mask: 1.0214, decode.loss_dice: 1.6622, decode.d0.loss_cls: 9.8050, decode.d0.loss_mask: 1.0158, decode.d0.loss_dice: 2.0303, decode.d1.loss_cls: 2.2059, decode.d1.loss_mask: 1.0235, decode.d1.loss_dice: 1.7582, decode.d2.loss_cls: 1.9952, decode.d2.loss_mask: 1.0170, decode.d2.loss_dice: 1.6736, decode.d3.loss_cls: 1.9251, decode.d3.loss_mask: 1.0091, decode.d3.loss_dice: 1.6470, decode.d4.loss_cls: 1.8787, decode.d4.loss_mask: 1.0099, decode.d4.loss_dice: 1.6562, decode.d5.loss_cls: 1.8465, decode.d5.loss_mask: 1.0203, decode.d5.loss_dice: 1.6512, decode.d6.loss_cls: 1.8390, decode.d6.loss_mask: 1.0207, decode.d6.loss_dice: 1.6420, decode.d7.loss_cls: 1.8318, decode.d7.loss_mask: 1.0230, decode.d7.loss_dice: 1.6554, decode.d8.loss_cls: 1.8186, decode.d8.loss_mask: 1.0213, decode.d8.loss_dice: 1.6550, loss: 54.2001 2022-09-12 05:41:42,885 - mmseg - INFO - Iter [3150/80000] lr: 1.379e-06, eta: 1 day, 16:53:56, time: 1.885, data_time: 0.015, memory: 42763, decode.loss_cls: 1.8218, decode.loss_mask: 0.9770, decode.loss_dice: 1.6294, decode.d0.loss_cls: 9.7899, decode.d0.loss_mask: 0.9652, decode.d0.loss_dice: 1.9805, decode.d1.loss_cls: 2.2063, decode.d1.loss_mask: 0.9722, decode.d1.loss_dice: 1.7070, decode.d2.loss_cls: 1.9899, decode.d2.loss_mask: 0.9681, decode.d2.loss_dice: 1.6469, decode.d3.loss_cls: 1.9081, decode.d3.loss_mask: 0.9717, decode.d3.loss_dice: 1.6279, decode.d4.loss_cls: 1.8622, decode.d4.loss_mask: 0.9743, decode.d4.loss_dice: 1.6276, decode.d5.loss_cls: 1.8433, decode.d5.loss_mask: 0.9747, decode.d5.loss_dice: 1.6226, decode.d6.loss_cls: 1.8273, decode.d6.loss_mask: 0.9722, decode.d6.loss_dice: 1.6130, decode.d7.loss_cls: 1.8183, decode.d7.loss_mask: 0.9796, decode.d7.loss_dice: 1.6286, decode.d8.loss_cls: 1.8067, decode.d8.loss_mask: 0.9772, decode.d8.loss_dice: 1.6259, loss: 53.3155 2022-09-12 05:43:17,049 - mmseg - INFO - Iter [3200/80000] lr: 1.378e-06, eta: 1 day, 16:51:41, time: 1.883, data_time: 0.018, memory: 42763, decode.loss_cls: 1.7846, decode.loss_mask: 0.9943, decode.loss_dice: 1.6386, decode.d0.loss_cls: 9.7587, decode.d0.loss_mask: 0.9901, decode.d0.loss_dice: 1.9780, decode.d1.loss_cls: 2.1582, decode.d1.loss_mask: 1.0008, decode.d1.loss_dice: 1.7127, decode.d2.loss_cls: 1.9421, decode.d2.loss_mask: 0.9821, decode.d2.loss_dice: 1.6455, decode.d3.loss_cls: 1.8694, decode.d3.loss_mask: 0.9894, decode.d3.loss_dice: 1.6229, decode.d4.loss_cls: 1.8203, decode.d4.loss_mask: 0.9871, decode.d4.loss_dice: 1.6375, decode.d5.loss_cls: 1.7988, decode.d5.loss_mask: 0.9912, decode.d5.loss_dice: 1.6211, decode.d6.loss_cls: 1.7910, decode.d6.loss_mask: 0.9846, decode.d6.loss_dice: 1.6247, decode.d7.loss_cls: 1.7848, decode.d7.loss_mask: 0.9910, decode.d7.loss_dice: 1.6296, decode.d8.loss_cls: 1.7720, decode.d8.loss_mask: 0.9962, decode.d8.loss_dice: 1.6308, loss: 53.1280 2022-09-12 05:44:49,931 - mmseg - INFO - Iter [3250/80000] lr: 1.377e-06, eta: 1 day, 16:48:56, time: 1.857, data_time: 0.016, memory: 42763, decode.loss_cls: 1.7579, decode.loss_mask: 0.9870, decode.loss_dice: 1.5980, decode.d0.loss_cls: 9.7503, decode.d0.loss_mask: 0.9720, decode.d0.loss_dice: 1.9380, decode.d1.loss_cls: 2.1224, decode.d1.loss_mask: 0.9955, decode.d1.loss_dice: 1.6788, decode.d2.loss_cls: 1.9103, decode.d2.loss_mask: 0.9855, decode.d2.loss_dice: 1.6118, decode.d3.loss_cls: 1.8279, decode.d3.loss_mask: 0.9892, decode.d3.loss_dice: 1.5840, decode.d4.loss_cls: 1.7777, decode.d4.loss_mask: 0.9829, decode.d4.loss_dice: 1.5929, decode.d5.loss_cls: 1.7606, decode.d5.loss_mask: 0.9853, decode.d5.loss_dice: 1.5733, decode.d6.loss_cls: 1.7504, decode.d6.loss_mask: 0.9889, decode.d6.loss_dice: 1.5882, decode.d7.loss_cls: 1.7430, decode.d7.loss_mask: 0.9898, decode.d7.loss_dice: 1.5857, decode.d8.loss_cls: 1.7365, decode.d8.loss_mask: 0.9922, decode.d8.loss_dice: 1.5902, loss: 52.3461 2022-09-12 05:46:24,340 - mmseg - INFO - Iter [3300/80000] lr: 1.377e-06, eta: 1 day, 16:46:51, time: 1.889, data_time: 0.016, memory: 42763, decode.loss_cls: 1.7484, decode.loss_mask: 0.9658, decode.loss_dice: 1.6088, decode.d0.loss_cls: 9.7232, decode.d0.loss_mask: 0.9563, decode.d0.loss_dice: 1.9614, decode.d1.loss_cls: 2.1064, decode.d1.loss_mask: 0.9746, decode.d1.loss_dice: 1.6893, decode.d2.loss_cls: 1.8847, decode.d2.loss_mask: 0.9670, decode.d2.loss_dice: 1.6283, decode.d3.loss_cls: 1.8094, decode.d3.loss_mask: 0.9777, decode.d3.loss_dice: 1.6116, decode.d4.loss_cls: 1.7687, decode.d4.loss_mask: 0.9773, decode.d4.loss_dice: 1.6082, decode.d5.loss_cls: 1.7487, decode.d5.loss_mask: 0.9636, decode.d5.loss_dice: 1.6010, decode.d6.loss_cls: 1.7368, decode.d6.loss_mask: 0.9770, decode.d6.loss_dice: 1.6108, decode.d7.loss_cls: 1.7264, decode.d7.loss_mask: 0.9774, decode.d7.loss_dice: 1.6123, decode.d8.loss_cls: 1.7183, decode.d8.loss_mask: 0.9791, decode.d8.loss_dice: 1.6129, loss: 52.2315 2022-09-12 05:47:58,757 - mmseg - INFO - Iter [3350/80000] lr: 1.376e-06, eta: 1 day, 16:44:45, time: 1.888, data_time: 0.016, memory: 42763, decode.loss_cls: 1.7277, decode.loss_mask: 1.0007, decode.loss_dice: 1.5920, decode.d0.loss_cls: 9.6988, decode.d0.loss_mask: 0.9740, decode.d0.loss_dice: 1.9240, decode.d1.loss_cls: 2.0832, decode.d1.loss_mask: 0.9989, decode.d1.loss_dice: 1.6719, decode.d2.loss_cls: 1.8791, decode.d2.loss_mask: 0.9904, decode.d2.loss_dice: 1.6067, decode.d3.loss_cls: 1.8046, decode.d3.loss_mask: 0.9961, decode.d3.loss_dice: 1.5915, decode.d4.loss_cls: 1.7512, decode.d4.loss_mask: 0.9965, decode.d4.loss_dice: 1.5886, decode.d5.loss_cls: 1.7334, decode.d5.loss_mask: 0.9875, decode.d5.loss_dice: 1.5829, decode.d6.loss_cls: 1.7289, decode.d6.loss_mask: 0.9902, decode.d6.loss_dice: 1.5783, decode.d7.loss_cls: 1.7171, decode.d7.loss_mask: 0.9940, decode.d7.loss_dice: 1.5840, decode.d8.loss_cls: 1.7083, decode.d8.loss_mask: 0.9964, decode.d8.loss_dice: 1.5819, loss: 52.0588 2022-09-12 05:49:31,645 - mmseg - INFO - Iter [3400/80000] lr: 1.375e-06, eta: 1 day, 16:42:07, time: 1.858, data_time: 0.018, memory: 42763, decode.loss_cls: 1.6743, decode.loss_mask: 0.9874, decode.loss_dice: 1.5680, decode.d0.loss_cls: 9.6748, decode.d0.loss_mask: 0.9576, decode.d0.loss_dice: 1.8972, decode.d1.loss_cls: 2.0663, decode.d1.loss_mask: 0.9764, decode.d1.loss_dice: 1.6382, decode.d2.loss_cls: 1.8458, decode.d2.loss_mask: 0.9676, decode.d2.loss_dice: 1.5668, decode.d3.loss_cls: 1.7651, decode.d3.loss_mask: 0.9766, decode.d3.loss_dice: 1.5459, decode.d4.loss_cls: 1.7124, decode.d4.loss_mask: 0.9778, decode.d4.loss_dice: 1.5499, decode.d5.loss_cls: 1.6870, decode.d5.loss_mask: 0.9760, decode.d5.loss_dice: 1.5479, decode.d6.loss_cls: 1.6714, decode.d6.loss_mask: 0.9777, decode.d6.loss_dice: 1.5449, decode.d7.loss_cls: 1.6652, decode.d7.loss_mask: 0.9810, decode.d7.loss_dice: 1.5590, decode.d8.loss_cls: 1.6473, decode.d8.loss_mask: 0.9915, decode.d8.loss_dice: 1.5619, loss: 51.1590 2022-09-12 05:51:04,921 - mmseg - INFO - Iter [3450/80000] lr: 1.374e-06, eta: 1 day, 16:39:39, time: 1.866, data_time: 0.016, memory: 42763, decode.loss_cls: 1.7168, decode.loss_mask: 0.9852, decode.loss_dice: 1.6043, decode.d0.loss_cls: 9.6564, decode.d0.loss_mask: 0.9676, decode.d0.loss_dice: 1.9340, decode.d1.loss_cls: 2.0667, decode.d1.loss_mask: 0.9925, decode.d1.loss_dice: 1.6701, decode.d2.loss_cls: 1.8482, decode.d2.loss_mask: 0.9797, decode.d2.loss_dice: 1.6134, decode.d3.loss_cls: 1.7771, decode.d3.loss_mask: 0.9745, decode.d3.loss_dice: 1.5995, decode.d4.loss_cls: 1.7423, decode.d4.loss_mask: 0.9778, decode.d4.loss_dice: 1.6045, decode.d5.loss_cls: 1.7206, decode.d5.loss_mask: 0.9737, decode.d5.loss_dice: 1.5852, decode.d6.loss_cls: 1.7108, decode.d6.loss_mask: 0.9745, decode.d6.loss_dice: 1.5817, decode.d7.loss_cls: 1.7042, decode.d7.loss_mask: 0.9814, decode.d7.loss_dice: 1.6011, decode.d8.loss_cls: 1.6991, decode.d8.loss_mask: 0.9849, decode.d8.loss_dice: 1.5992, loss: 51.8271 2022-09-12 05:52:39,978 - mmseg - INFO - Iter [3500/80000] lr: 1.373e-06, eta: 1 day, 16:37:51, time: 1.901, data_time: 0.016, memory: 42763, decode.loss_cls: 1.6657, decode.loss_mask: 0.9452, decode.loss_dice: 1.5783, decode.d0.loss_cls: 9.6302, decode.d0.loss_mask: 0.9263, decode.d0.loss_dice: 1.9172, decode.d1.loss_cls: 2.0144, decode.d1.loss_mask: 0.9547, decode.d1.loss_dice: 1.6557, decode.d2.loss_cls: 1.8072, decode.d2.loss_mask: 0.9407, decode.d2.loss_dice: 1.6051, decode.d3.loss_cls: 1.7263, decode.d3.loss_mask: 0.9395, decode.d3.loss_dice: 1.5770, decode.d4.loss_cls: 1.6822, decode.d4.loss_mask: 0.9359, decode.d4.loss_dice: 1.5804, decode.d5.loss_cls: 1.6653, decode.d5.loss_mask: 0.9351, decode.d5.loss_dice: 1.5728, decode.d6.loss_cls: 1.6580, decode.d6.loss_mask: 0.9331, decode.d6.loss_dice: 1.5571, decode.d7.loss_cls: 1.6519, decode.d7.loss_mask: 0.9349, decode.d7.loss_dice: 1.5708, decode.d8.loss_cls: 1.6482, decode.d8.loss_mask: 0.9399, decode.d8.loss_dice: 1.5681, loss: 50.7171 2022-09-12 05:54:13,465 - mmseg - INFO - Iter [3550/80000] lr: 1.372e-06, eta: 1 day, 16:35:30, time: 1.870, data_time: 0.016, memory: 42763, decode.loss_cls: 1.6826, decode.loss_mask: 0.9784, decode.loss_dice: 1.5742, decode.d0.loss_cls: 9.6110, decode.d0.loss_mask: 0.9691, decode.d0.loss_dice: 1.9197, decode.d1.loss_cls: 2.0396, decode.d1.loss_mask: 0.9829, decode.d1.loss_dice: 1.6562, decode.d2.loss_cls: 1.8174, decode.d2.loss_mask: 0.9744, decode.d2.loss_dice: 1.6016, decode.d3.loss_cls: 1.7503, decode.d3.loss_mask: 0.9785, decode.d3.loss_dice: 1.5738, decode.d4.loss_cls: 1.7126, decode.d4.loss_mask: 0.9772, decode.d4.loss_dice: 1.5841, decode.d5.loss_cls: 1.6885, decode.d5.loss_mask: 0.9818, decode.d5.loss_dice: 1.5833, decode.d6.loss_cls: 1.6768, decode.d6.loss_mask: 0.9793, decode.d6.loss_dice: 1.5769, decode.d7.loss_cls: 1.6806, decode.d7.loss_mask: 0.9671, decode.d7.loss_dice: 1.5829, decode.d8.loss_cls: 1.6621, decode.d8.loss_mask: 0.9774, decode.d8.loss_dice: 1.5758, loss: 51.3163 2022-09-12 05:55:47,116 - mmseg - INFO - Iter [3600/80000] lr: 1.371e-06, eta: 1 day, 16:33:13, time: 1.873, data_time: 0.017, memory: 42763, decode.loss_cls: 1.6525, decode.loss_mask: 0.9482, decode.loss_dice: 1.5968, decode.d0.loss_cls: 9.5840, decode.d0.loss_mask: 0.9251, decode.d0.loss_dice: 1.9164, decode.d1.loss_cls: 2.0138, decode.d1.loss_mask: 0.9427, decode.d1.loss_dice: 1.6661, decode.d2.loss_cls: 1.7976, decode.d2.loss_mask: 0.9328, decode.d2.loss_dice: 1.6059, decode.d3.loss_cls: 1.7275, decode.d3.loss_mask: 0.9437, decode.d3.loss_dice: 1.5829, decode.d4.loss_cls: 1.6788, decode.d4.loss_mask: 0.9403, decode.d4.loss_dice: 1.5857, decode.d5.loss_cls: 1.6574, decode.d5.loss_mask: 0.9385, decode.d5.loss_dice: 1.5747, decode.d6.loss_cls: 1.6483, decode.d6.loss_mask: 0.9428, decode.d6.loss_dice: 1.5728, decode.d7.loss_cls: 1.6365, decode.d7.loss_mask: 0.9446, decode.d7.loss_dice: 1.5797, decode.d8.loss_cls: 1.6323, decode.d8.loss_mask: 0.9517, decode.d8.loss_dice: 1.5868, loss: 50.7070 2022-09-12 05:57:21,594 - mmseg - INFO - Iter [3650/80000] lr: 1.370e-06, eta: 1 day, 16:31:15, time: 1.890, data_time: 0.018, memory: 42763, decode.loss_cls: 1.6543, decode.loss_mask: 0.9731, decode.loss_dice: 1.5807, decode.d0.loss_cls: 9.5634, decode.d0.loss_mask: 0.9517, decode.d0.loss_dice: 1.9041, decode.d1.loss_cls: 2.0231, decode.d1.loss_mask: 0.9586, decode.d1.loss_dice: 1.6470, decode.d2.loss_cls: 1.8005, decode.d2.loss_mask: 0.9516, decode.d2.loss_dice: 1.5751, decode.d3.loss_cls: 1.7161, decode.d3.loss_mask: 0.9542, decode.d3.loss_dice: 1.5636, decode.d4.loss_cls: 1.6693, decode.d4.loss_mask: 0.9670, decode.d4.loss_dice: 1.5658, decode.d5.loss_cls: 1.6394, decode.d5.loss_mask: 0.9659, decode.d5.loss_dice: 1.5750, decode.d6.loss_cls: 1.6399, decode.d6.loss_mask: 0.9682, decode.d6.loss_dice: 1.5567, decode.d7.loss_cls: 1.6364, decode.d7.loss_mask: 0.9673, decode.d7.loss_dice: 1.5730, decode.d8.loss_cls: 1.6206, decode.d8.loss_mask: 0.9739, decode.d8.loss_dice: 1.5805, loss: 50.7161 2022-09-12 05:58:56,468 - mmseg - INFO - Iter [3700/80000] lr: 1.369e-06, eta: 1 day, 16:29:26, time: 1.897, data_time: 0.017, memory: 42763, decode.loss_cls: 1.6510, decode.loss_mask: 0.9312, decode.loss_dice: 1.5780, decode.d0.loss_cls: 9.5445, decode.d0.loss_mask: 0.9191, decode.d0.loss_dice: 1.9168, decode.d1.loss_cls: 2.0323, decode.d1.loss_mask: 0.9315, decode.d1.loss_dice: 1.6492, decode.d2.loss_cls: 1.8020, decode.d2.loss_mask: 0.9266, decode.d2.loss_dice: 1.5804, decode.d3.loss_cls: 1.7280, decode.d3.loss_mask: 0.9206, decode.d3.loss_dice: 1.5661, decode.d4.loss_cls: 1.6814, decode.d4.loss_mask: 0.9195, decode.d4.loss_dice: 1.5713, decode.d5.loss_cls: 1.6587, decode.d5.loss_mask: 0.9238, decode.d5.loss_dice: 1.5671, decode.d6.loss_cls: 1.6440, decode.d6.loss_mask: 0.9250, decode.d6.loss_dice: 1.5697, decode.d7.loss_cls: 1.6352, decode.d7.loss_mask: 0.9326, decode.d7.loss_dice: 1.5843, decode.d8.loss_cls: 1.6323, decode.d8.loss_mask: 0.9327, decode.d8.loss_dice: 1.5727, loss: 50.4274 2022-09-12 06:00:32,962 - mmseg - INFO - Iter [3750/80000] lr: 1.369e-06, eta: 1 day, 16:28:11, time: 1.930, data_time: 0.016, memory: 42763, decode.loss_cls: 1.6681, decode.loss_mask: 0.9529, decode.loss_dice: 1.5589, decode.d0.loss_cls: 9.5210, decode.d0.loss_mask: 0.9364, decode.d0.loss_dice: 1.8910, decode.d1.loss_cls: 2.0571, decode.d1.loss_mask: 0.9652, decode.d1.loss_dice: 1.6354, decode.d2.loss_cls: 1.8306, decode.d2.loss_mask: 0.9444, decode.d2.loss_dice: 1.5696, decode.d3.loss_cls: 1.7568, decode.d3.loss_mask: 0.9467, decode.d3.loss_dice: 1.5489, decode.d4.loss_cls: 1.7010, decode.d4.loss_mask: 0.9443, decode.d4.loss_dice: 1.5541, decode.d5.loss_cls: 1.6782, decode.d5.loss_mask: 0.9435, decode.d5.loss_dice: 1.5447, decode.d6.loss_cls: 1.6665, decode.d6.loss_mask: 0.9450, decode.d6.loss_dice: 1.5422, decode.d7.loss_cls: 1.6532, decode.d7.loss_mask: 0.9502, decode.d7.loss_dice: 1.5548, decode.d8.loss_cls: 1.6445, decode.d8.loss_mask: 0.9579, decode.d8.loss_dice: 1.5592, loss: 50.6224 2022-09-12 06:02:06,496 - mmseg - INFO - Iter [3800/80000] lr: 1.368e-06, eta: 1 day, 16:25:55, time: 1.871, data_time: 0.016, memory: 42763, decode.loss_cls: 1.5587, decode.loss_mask: 0.9454, decode.loss_dice: 1.5122, decode.d0.loss_cls: 9.4928, decode.d0.loss_mask: 0.9534, decode.d0.loss_dice: 1.8425, decode.d1.loss_cls: 1.9164, decode.d1.loss_mask: 0.9692, decode.d1.loss_dice: 1.5933, decode.d2.loss_cls: 1.7017, decode.d2.loss_mask: 0.9607, decode.d2.loss_dice: 1.5260, decode.d3.loss_cls: 1.6274, decode.d3.loss_mask: 0.9569, decode.d3.loss_dice: 1.5133, decode.d4.loss_cls: 1.5753, decode.d4.loss_mask: 0.9569, decode.d4.loss_dice: 1.5139, decode.d5.loss_cls: 1.5547, decode.d5.loss_mask: 0.9550, decode.d5.loss_dice: 1.5123, decode.d6.loss_cls: 1.5355, decode.d6.loss_mask: 0.9567, decode.d6.loss_dice: 1.5051, decode.d7.loss_cls: 1.5321, decode.d7.loss_mask: 0.9515, decode.d7.loss_dice: 1.5073, decode.d8.loss_cls: 1.5263, decode.d8.loss_mask: 0.9591, decode.d8.loss_dice: 1.5102, loss: 49.1216 2022-09-12 06:03:39,965 - mmseg - INFO - Iter [3850/80000] lr: 1.367e-06, eta: 1 day, 16:23:39, time: 1.869, data_time: 0.016, memory: 42763, decode.loss_cls: 1.6241, decode.loss_mask: 0.9428, decode.loss_dice: 1.5812, decode.d0.loss_cls: 9.4799, decode.d0.loss_mask: 0.9169, decode.d0.loss_dice: 1.9103, decode.d1.loss_cls: 1.9990, decode.d1.loss_mask: 0.9534, decode.d1.loss_dice: 1.6598, decode.d2.loss_cls: 1.7780, decode.d2.loss_mask: 0.9380, decode.d2.loss_dice: 1.5903, decode.d3.loss_cls: 1.6963, decode.d3.loss_mask: 0.9439, decode.d3.loss_dice: 1.5693, decode.d4.loss_cls: 1.6460, decode.d4.loss_mask: 0.9444, decode.d4.loss_dice: 1.5745, decode.d5.loss_cls: 1.6284, decode.d5.loss_mask: 0.9389, decode.d5.loss_dice: 1.5695, decode.d6.loss_cls: 1.6112, decode.d6.loss_mask: 0.9401, decode.d6.loss_dice: 1.5624, decode.d7.loss_cls: 1.6077, decode.d7.loss_mask: 0.9394, decode.d7.loss_dice: 1.5693, decode.d8.loss_cls: 1.6098, decode.d8.loss_mask: 0.9471, decode.d8.loss_dice: 1.5722, loss: 50.2442 2022-09-12 06:05:14,041 - mmseg - INFO - Iter [3900/80000] lr: 1.366e-06, eta: 1 day, 16:21:36, time: 1.881, data_time: 0.016, memory: 42763, decode.loss_cls: 1.5897, decode.loss_mask: 0.9183, decode.loss_dice: 1.4990, decode.d0.loss_cls: 9.4438, decode.d0.loss_mask: 0.9049, decode.d0.loss_dice: 1.8354, decode.d1.loss_cls: 1.9408, decode.d1.loss_mask: 0.9317, decode.d1.loss_dice: 1.5730, decode.d2.loss_cls: 1.7256, decode.d2.loss_mask: 0.9159, decode.d2.loss_dice: 1.5127, decode.d3.loss_cls: 1.6635, decode.d3.loss_mask: 0.9150, decode.d3.loss_dice: 1.4912, decode.d4.loss_cls: 1.6175, decode.d4.loss_mask: 0.9204, decode.d4.loss_dice: 1.5033, decode.d5.loss_cls: 1.5930, decode.d5.loss_mask: 0.9184, decode.d5.loss_dice: 1.5065, decode.d6.loss_cls: 1.5920, decode.d6.loss_mask: 0.9178, decode.d6.loss_dice: 1.5006, decode.d7.loss_cls: 1.5833, decode.d7.loss_mask: 0.9184, decode.d7.loss_dice: 1.5087, decode.d8.loss_cls: 1.5768, decode.d8.loss_mask: 0.9149, decode.d8.loss_dice: 1.5032, loss: 48.9353 2022-09-12 06:06:47,206 - mmseg - INFO - Iter [3950/80000] lr: 1.365e-06, eta: 1 day, 16:19:16, time: 1.863, data_time: 0.015, memory: 42763, decode.loss_cls: 1.5044, decode.loss_mask: 0.9321, decode.loss_dice: 1.5312, decode.d0.loss_cls: 9.4190, decode.d0.loss_mask: 0.9038, decode.d0.loss_dice: 1.8322, decode.d1.loss_cls: 1.8523, decode.d1.loss_mask: 0.9210, decode.d1.loss_dice: 1.5932, decode.d2.loss_cls: 1.6448, decode.d2.loss_mask: 0.9218, decode.d2.loss_dice: 1.5371, decode.d3.loss_cls: 1.5700, decode.d3.loss_mask: 0.9236, decode.d3.loss_dice: 1.5130, decode.d4.loss_cls: 1.5324, decode.d4.loss_mask: 0.9234, decode.d4.loss_dice: 1.5211, decode.d5.loss_cls: 1.5060, decode.d5.loss_mask: 0.9210, decode.d5.loss_dice: 1.5095, decode.d6.loss_cls: 1.5018, decode.d6.loss_mask: 0.9281, decode.d6.loss_dice: 1.5058, decode.d7.loss_cls: 1.5050, decode.d7.loss_mask: 0.9308, decode.d7.loss_dice: 1.5204, decode.d8.loss_cls: 1.4955, decode.d8.loss_mask: 0.9364, decode.d8.loss_dice: 1.5215, loss: 48.3582 2022-09-12 06:08:20,627 - mmseg - INFO - Saving checkpoint at 4000 iterations 2022-09-12 06:08:50,932 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 06:08:50,935 - mmseg - INFO - Iter [4000/80000] lr: 1.364e-06, eta: 1 day, 16:26:37, time: 2.473, data_time: 0.015, memory: 42763, decode.loss_cls: 1.5205, decode.loss_mask: 0.9418, decode.loss_dice: 1.5429, decode.d0.loss_cls: 9.3931, decode.d0.loss_mask: 0.9167, decode.d0.loss_dice: 1.8397, decode.d1.loss_cls: 1.8877, decode.d1.loss_mask: 0.9478, decode.d1.loss_dice: 1.6087, decode.d2.loss_cls: 1.6515, decode.d2.loss_mask: 0.9485, decode.d2.loss_dice: 1.5638, decode.d3.loss_cls: 1.5908, decode.d3.loss_mask: 0.9473, decode.d3.loss_dice: 1.5422, decode.d4.loss_cls: 1.5562, decode.d4.loss_mask: 0.9454, decode.d4.loss_dice: 1.5428, decode.d5.loss_cls: 1.5392, decode.d5.loss_mask: 0.9373, decode.d5.loss_dice: 1.5348, decode.d6.loss_cls: 1.5294, decode.d6.loss_mask: 0.9393, decode.d6.loss_dice: 1.5338, decode.d7.loss_cls: 1.5274, decode.d7.loss_mask: 0.9469, decode.d7.loss_dice: 1.5382, decode.d8.loss_cls: 1.5117, decode.d8.loss_mask: 0.9422, decode.d8.loss_dice: 1.5309, loss: 48.8985 2022-09-12 06:10:24,483 - mmseg - INFO - Iter [4050/80000] lr: 1.363e-06, eta: 1 day, 16:24:21, time: 1.873, data_time: 0.016, memory: 42763, decode.loss_cls: 1.5355, decode.loss_mask: 0.9322, decode.loss_dice: 1.5185, decode.d0.loss_cls: 9.3697, decode.d0.loss_mask: 0.9037, decode.d0.loss_dice: 1.8459, decode.d1.loss_cls: 1.8917, decode.d1.loss_mask: 0.9214, decode.d1.loss_dice: 1.6000, decode.d2.loss_cls: 1.6729, decode.d2.loss_mask: 0.9129, decode.d2.loss_dice: 1.5374, decode.d3.loss_cls: 1.6009, decode.d3.loss_mask: 0.9227, decode.d3.loss_dice: 1.5128, decode.d4.loss_cls: 1.5579, decode.d4.loss_mask: 0.9186, decode.d4.loss_dice: 1.5182, decode.d5.loss_cls: 1.5376, decode.d5.loss_mask: 0.9216, decode.d5.loss_dice: 1.5181, decode.d6.loss_cls: 1.5287, decode.d6.loss_mask: 0.9252, decode.d6.loss_dice: 1.5091, decode.d7.loss_cls: 1.5241, decode.d7.loss_mask: 0.9260, decode.d7.loss_dice: 1.5129, decode.d8.loss_cls: 1.5156, decode.d8.loss_mask: 0.9321, decode.d8.loss_dice: 1.5110, loss: 48.5348 2022-09-12 06:11:58,331 - mmseg - INFO - Iter [4100/80000] lr: 1.362e-06, eta: 1 day, 16:22:09, time: 1.877, data_time: 0.016, memory: 42763, decode.loss_cls: 1.4845, decode.loss_mask: 0.8994, decode.loss_dice: 1.5104, decode.d0.loss_cls: 9.3364, decode.d0.loss_mask: 0.8846, decode.d0.loss_dice: 1.8306, decode.d1.loss_cls: 1.8356, decode.d1.loss_mask: 0.9181, decode.d1.loss_dice: 1.5847, decode.d2.loss_cls: 1.6268, decode.d2.loss_mask: 0.9040, decode.d2.loss_dice: 1.5266, decode.d3.loss_cls: 1.5557, decode.d3.loss_mask: 0.9015, decode.d3.loss_dice: 1.5100, decode.d4.loss_cls: 1.5149, decode.d4.loss_mask: 0.9027, decode.d4.loss_dice: 1.5068, decode.d5.loss_cls: 1.4940, decode.d5.loss_mask: 0.8962, decode.d5.loss_dice: 1.5069, decode.d6.loss_cls: 1.4811, decode.d6.loss_mask: 0.8947, decode.d6.loss_dice: 1.5070, decode.d7.loss_cls: 1.4746, decode.d7.loss_mask: 0.8956, decode.d7.loss_dice: 1.5077, decode.d8.loss_cls: 1.4646, decode.d8.loss_mask: 0.9078, decode.d8.loss_dice: 1.5133, loss: 47.7771 2022-09-12 06:13:31,998 - mmseg - INFO - Iter [4150/80000] lr: 1.361e-06, eta: 1 day, 16:19:56, time: 1.873, data_time: 0.015, memory: 42763, decode.loss_cls: 1.5033, decode.loss_mask: 0.9150, decode.loss_dice: 1.5198, decode.d0.loss_cls: 9.3119, decode.d0.loss_mask: 0.9019, decode.d0.loss_dice: 1.8195, decode.d1.loss_cls: 1.8324, decode.d1.loss_mask: 0.9245, decode.d1.loss_dice: 1.5873, decode.d2.loss_cls: 1.6186, decode.d2.loss_mask: 0.9217, decode.d2.loss_dice: 1.5388, decode.d3.loss_cls: 1.5515, decode.d3.loss_mask: 0.9195, decode.d3.loss_dice: 1.5177, decode.d4.loss_cls: 1.5155, decode.d4.loss_mask: 0.9184, decode.d4.loss_dice: 1.5277, decode.d5.loss_cls: 1.4954, decode.d5.loss_mask: 0.9163, decode.d5.loss_dice: 1.5145, decode.d6.loss_cls: 1.4773, decode.d6.loss_mask: 0.9245, decode.d6.loss_dice: 1.5126, decode.d7.loss_cls: 1.4837, decode.d7.loss_mask: 0.9144, decode.d7.loss_dice: 1.5179, decode.d8.loss_cls: 1.4838, decode.d8.loss_mask: 0.9199, decode.d8.loss_dice: 1.5156, loss: 48.0210 2022-09-12 06:15:05,000 - mmseg - INFO - Iter [4200/80000] lr: 1.360e-06, eta: 1 day, 16:17:31, time: 1.860, data_time: 0.017, memory: 42763, decode.loss_cls: 1.4841, decode.loss_mask: 0.9550, decode.loss_dice: 1.5214, decode.d0.loss_cls: 9.2912, decode.d0.loss_mask: 0.9222, decode.d0.loss_dice: 1.8125, decode.d1.loss_cls: 1.8255, decode.d1.loss_mask: 0.9642, decode.d1.loss_dice: 1.5805, decode.d2.loss_cls: 1.5965, decode.d2.loss_mask: 0.9463, decode.d2.loss_dice: 1.5243, decode.d3.loss_cls: 1.5353, decode.d3.loss_mask: 0.9504, decode.d3.loss_dice: 1.5079, decode.d4.loss_cls: 1.4921, decode.d4.loss_mask: 0.9532, decode.d4.loss_dice: 1.5162, decode.d5.loss_cls: 1.4814, decode.d5.loss_mask: 0.9538, decode.d5.loss_dice: 1.5102, decode.d6.loss_cls: 1.4725, decode.d6.loss_mask: 0.9477, decode.d6.loss_dice: 1.5045, decode.d7.loss_cls: 1.4691, decode.d7.loss_mask: 0.9487, decode.d7.loss_dice: 1.5071, decode.d8.loss_cls: 1.4666, decode.d8.loss_mask: 0.9531, decode.d8.loss_dice: 1.5180, loss: 48.1116 2022-09-12 06:16:37,867 - mmseg - INFO - Iter [4250/80000] lr: 1.360e-06, eta: 1 day, 16:15:05, time: 1.857, data_time: 0.014, memory: 42763, decode.loss_cls: 1.5036, decode.loss_mask: 0.9269, decode.loss_dice: 1.4953, decode.d0.loss_cls: 9.2771, decode.d0.loss_mask: 0.9169, decode.d0.loss_dice: 1.8336, decode.d1.loss_cls: 1.8610, decode.d1.loss_mask: 0.9248, decode.d1.loss_dice: 1.5727, decode.d2.loss_cls: 1.6364, decode.d2.loss_mask: 0.9208, decode.d2.loss_dice: 1.5144, decode.d3.loss_cls: 1.5697, decode.d3.loss_mask: 0.9172, decode.d3.loss_dice: 1.4847, decode.d4.loss_cls: 1.5304, decode.d4.loss_mask: 0.9242, decode.d4.loss_dice: 1.4905, decode.d5.loss_cls: 1.5149, decode.d5.loss_mask: 0.9228, decode.d5.loss_dice: 1.4844, decode.d6.loss_cls: 1.4982, decode.d6.loss_mask: 0.9262, decode.d6.loss_dice: 1.4789, decode.d7.loss_cls: 1.4865, decode.d7.loss_mask: 0.9271, decode.d7.loss_dice: 1.4910, decode.d8.loss_cls: 1.4852, decode.d8.loss_mask: 0.9291, decode.d8.loss_dice: 1.4865, loss: 47.9313 2022-09-12 06:18:11,086 - mmseg - INFO - Iter [4300/80000] lr: 1.359e-06, eta: 1 day, 16:12:47, time: 1.864, data_time: 0.015, memory: 42763, decode.loss_cls: 1.5103, decode.loss_mask: 0.9294, decode.loss_dice: 1.5473, decode.d0.loss_cls: 9.2527, decode.d0.loss_mask: 0.9070, decode.d0.loss_dice: 1.8624, decode.d1.loss_cls: 1.8490, decode.d1.loss_mask: 0.9375, decode.d1.loss_dice: 1.6099, decode.d2.loss_cls: 1.6224, decode.d2.loss_mask: 0.9269, decode.d2.loss_dice: 1.5615, decode.d3.loss_cls: 1.5659, decode.d3.loss_mask: 0.9213, decode.d3.loss_dice: 1.5282, decode.d4.loss_cls: 1.5354, decode.d4.loss_mask: 0.9196, decode.d4.loss_dice: 1.5419, decode.d5.loss_cls: 1.5226, decode.d5.loss_mask: 0.9217, decode.d5.loss_dice: 1.5395, decode.d6.loss_cls: 1.5053, decode.d6.loss_mask: 0.9209, decode.d6.loss_dice: 1.5332, decode.d7.loss_cls: 1.5019, decode.d7.loss_mask: 0.9161, decode.d7.loss_dice: 1.5271, decode.d8.loss_cls: 1.4933, decode.d8.loss_mask: 0.9244, decode.d8.loss_dice: 1.5370, loss: 48.3715 2022-09-12 06:19:45,944 - mmseg - INFO - Iter [4350/80000] lr: 1.358e-06, eta: 1 day, 16:10:58, time: 1.897, data_time: 0.017, memory: 42763, decode.loss_cls: 1.4894, decode.loss_mask: 0.8941, decode.loss_dice: 1.4927, decode.d0.loss_cls: 9.2243, decode.d0.loss_mask: 0.8609, decode.d0.loss_dice: 1.8156, decode.d1.loss_cls: 1.8226, decode.d1.loss_mask: 0.8958, decode.d1.loss_dice: 1.5740, decode.d2.loss_cls: 1.5962, decode.d2.loss_mask: 0.8911, decode.d2.loss_dice: 1.5238, decode.d3.loss_cls: 1.5274, decode.d3.loss_mask: 0.8897, decode.d3.loss_dice: 1.4923, decode.d4.loss_cls: 1.4973, decode.d4.loss_mask: 0.8917, decode.d4.loss_dice: 1.4979, decode.d5.loss_cls: 1.4907, decode.d5.loss_mask: 0.8864, decode.d5.loss_dice: 1.4894, decode.d6.loss_cls: 1.4812, decode.d6.loss_mask: 0.8882, decode.d6.loss_dice: 1.4949, decode.d7.loss_cls: 1.4737, decode.d7.loss_mask: 0.8954, decode.d7.loss_dice: 1.5025, decode.d8.loss_cls: 1.4645, decode.d8.loss_mask: 0.8971, decode.d8.loss_dice: 1.4916, loss: 47.3323 2022-09-12 06:21:19,119 - mmseg - INFO - Iter [4400/80000] lr: 1.357e-06, eta: 1 day, 16:08:41, time: 1.864, data_time: 0.016, memory: 42763, decode.loss_cls: 1.4111, decode.loss_mask: 0.8893, decode.loss_dice: 1.4488, decode.d0.loss_cls: 9.1879, decode.d0.loss_mask: 0.8801, decode.d0.loss_dice: 1.7756, decode.d1.loss_cls: 1.7333, decode.d1.loss_mask: 0.8946, decode.d1.loss_dice: 1.5136, decode.d2.loss_cls: 1.5190, decode.d2.loss_mask: 0.8896, decode.d2.loss_dice: 1.4688, decode.d3.loss_cls: 1.4622, decode.d3.loss_mask: 0.8785, decode.d3.loss_dice: 1.4519, decode.d4.loss_cls: 1.4308, decode.d4.loss_mask: 0.8814, decode.d4.loss_dice: 1.4446, decode.d5.loss_cls: 1.4105, decode.d5.loss_mask: 0.8823, decode.d5.loss_dice: 1.4414, decode.d6.loss_cls: 1.4086, decode.d6.loss_mask: 0.8897, decode.d6.loss_dice: 1.4453, decode.d7.loss_cls: 1.4046, decode.d7.loss_mask: 0.8868, decode.d7.loss_dice: 1.4419, decode.d8.loss_cls: 1.3993, decode.d8.loss_mask: 0.8876, decode.d8.loss_dice: 1.4487, loss: 46.1076 2022-09-12 06:22:52,225 - mmseg - INFO - Iter [4450/80000] lr: 1.356e-06, eta: 1 day, 16:06:23, time: 1.862, data_time: 0.016, memory: 42763, decode.loss_cls: 1.4135, decode.loss_mask: 0.9282, decode.loss_dice: 1.4861, decode.d0.loss_cls: 9.1543, decode.d0.loss_mask: 0.9040, decode.d0.loss_dice: 1.7861, decode.d1.loss_cls: 1.7175, decode.d1.loss_mask: 0.9396, decode.d1.loss_dice: 1.5553, decode.d2.loss_cls: 1.5281, decode.d2.loss_mask: 0.9228, decode.d2.loss_dice: 1.5090, decode.d3.loss_cls: 1.4657, decode.d3.loss_mask: 0.9255, decode.d3.loss_dice: 1.4963, decode.d4.loss_cls: 1.4352, decode.d4.loss_mask: 0.9251, decode.d4.loss_dice: 1.4950, decode.d5.loss_cls: 1.4152, decode.d5.loss_mask: 0.9204, decode.d5.loss_dice: 1.4915, decode.d6.loss_cls: 1.4050, decode.d6.loss_mask: 0.9233, decode.d6.loss_dice: 1.4850, decode.d7.loss_cls: 1.3993, decode.d7.loss_mask: 0.9196, decode.d7.loss_dice: 1.4929, decode.d8.loss_cls: 1.3991, decode.d8.loss_mask: 0.9266, decode.d8.loss_dice: 1.4874, loss: 46.8525 2022-09-12 06:24:25,237 - mmseg - INFO - Iter [4500/80000] lr: 1.355e-06, eta: 1 day, 16:04:05, time: 1.860, data_time: 0.016, memory: 42763, decode.loss_cls: 1.4679, decode.loss_mask: 0.9339, decode.loss_dice: 1.4986, decode.d0.loss_cls: 9.1422, decode.d0.loss_mask: 0.9170, decode.d0.loss_dice: 1.8073, decode.d1.loss_cls: 1.7852, decode.d1.loss_mask: 0.9375, decode.d1.loss_dice: 1.5551, decode.d2.loss_cls: 1.5723, decode.d2.loss_mask: 0.9263, decode.d2.loss_dice: 1.5057, decode.d3.loss_cls: 1.5139, decode.d3.loss_mask: 0.9332, decode.d3.loss_dice: 1.4960, decode.d4.loss_cls: 1.4814, decode.d4.loss_mask: 0.9320, decode.d4.loss_dice: 1.4952, decode.d5.loss_cls: 1.4755, decode.d5.loss_mask: 0.9250, decode.d5.loss_dice: 1.4845, decode.d6.loss_cls: 1.4638, decode.d6.loss_mask: 0.9308, decode.d6.loss_dice: 1.4757, decode.d7.loss_cls: 1.4637, decode.d7.loss_mask: 0.9310, decode.d7.loss_dice: 1.4913, decode.d8.loss_cls: 1.4529, decode.d8.loss_mask: 0.9347, decode.d8.loss_dice: 1.4918, loss: 47.4214 2022-09-12 06:25:58,815 - mmseg - INFO - Iter [4550/80000] lr: 1.354e-06, eta: 1 day, 16:01:56, time: 1.871, data_time: 0.015, memory: 42763, decode.loss_cls: 1.4048, decode.loss_mask: 0.8906, decode.loss_dice: 1.4807, decode.d0.loss_cls: 9.1167, decode.d0.loss_mask: 0.8714, decode.d0.loss_dice: 1.7952, decode.d1.loss_cls: 1.7256, decode.d1.loss_mask: 0.8927, decode.d1.loss_dice: 1.5597, decode.d2.loss_cls: 1.5108, decode.d2.loss_mask: 0.8880, decode.d2.loss_dice: 1.5103, decode.d3.loss_cls: 1.4541, decode.d3.loss_mask: 0.8847, decode.d3.loss_dice: 1.4821, decode.d4.loss_cls: 1.4204, decode.d4.loss_mask: 0.8799, decode.d4.loss_dice: 1.4786, decode.d5.loss_cls: 1.4092, decode.d5.loss_mask: 0.8830, decode.d5.loss_dice: 1.4813, decode.d6.loss_cls: 1.4063, decode.d6.loss_mask: 0.8864, decode.d6.loss_dice: 1.4710, decode.d7.loss_cls: 1.3935, decode.d7.loss_mask: 0.8832, decode.d7.loss_dice: 1.4862, decode.d8.loss_cls: 1.3870, decode.d8.loss_mask: 0.8832, decode.d8.loss_dice: 1.4733, loss: 46.2901 2022-09-12 06:27:31,895 - mmseg - INFO - Iter [4600/80000] lr: 1.353e-06, eta: 1 day, 15:59:41, time: 1.861, data_time: 0.016, memory: 42763, decode.loss_cls: 1.4336, decode.loss_mask: 0.9358, decode.loss_dice: 1.4889, decode.d0.loss_cls: 9.0896, decode.d0.loss_mask: 0.9068, decode.d0.loss_dice: 1.8001, decode.d1.loss_cls: 1.7465, decode.d1.loss_mask: 0.9421, decode.d1.loss_dice: 1.5628, decode.d2.loss_cls: 1.5413, decode.d2.loss_mask: 0.9393, decode.d2.loss_dice: 1.5079, decode.d3.loss_cls: 1.4877, decode.d3.loss_mask: 0.9455, decode.d3.loss_dice: 1.4906, decode.d4.loss_cls: 1.4476, decode.d4.loss_mask: 0.9355, decode.d4.loss_dice: 1.4871, decode.d5.loss_cls: 1.4412, decode.d5.loss_mask: 0.9285, decode.d5.loss_dice: 1.4774, decode.d6.loss_cls: 1.4364, decode.d6.loss_mask: 0.9275, decode.d6.loss_dice: 1.4720, decode.d7.loss_cls: 1.4305, decode.d7.loss_mask: 0.9283, decode.d7.loss_dice: 1.4772, decode.d8.loss_cls: 1.4308, decode.d8.loss_mask: 0.9303, decode.d8.loss_dice: 1.4778, loss: 47.0463 2022-09-12 06:29:05,868 - mmseg - INFO - Iter [4650/80000] lr: 1.352e-06, eta: 1 day, 15:57:42, time: 1.881, data_time: 0.019, memory: 42763, decode.loss_cls: 1.4144, decode.loss_mask: 0.8992, decode.loss_dice: 1.4733, decode.d0.loss_cls: 9.0821, decode.d0.loss_mask: 0.8715, decode.d0.loss_dice: 1.7877, decode.d1.loss_cls: 1.7334, decode.d1.loss_mask: 0.9033, decode.d1.loss_dice: 1.5461, decode.d2.loss_cls: 1.5135, decode.d2.loss_mask: 0.9026, decode.d2.loss_dice: 1.4961, decode.d3.loss_cls: 1.4605, decode.d3.loss_mask: 0.9001, decode.d3.loss_dice: 1.4800, decode.d4.loss_cls: 1.4188, decode.d4.loss_mask: 0.9045, decode.d4.loss_dice: 1.4777, decode.d5.loss_cls: 1.4087, decode.d5.loss_mask: 0.8962, decode.d5.loss_dice: 1.4722, decode.d6.loss_cls: 1.4073, decode.d6.loss_mask: 0.8956, decode.d6.loss_dice: 1.4701, decode.d7.loss_cls: 1.3980, decode.d7.loss_mask: 0.8947, decode.d7.loss_dice: 1.4690, decode.d8.loss_cls: 1.3958, decode.d8.loss_mask: 0.8988, decode.d8.loss_dice: 1.4703, loss: 46.3414 2022-09-12 06:30:39,366 - mmseg - INFO - Iter [4700/80000] lr: 1.351e-06, eta: 1 day, 15:55:35, time: 1.870, data_time: 0.016, memory: 42763, decode.loss_cls: 1.4141, decode.loss_mask: 0.9218, decode.loss_dice: 1.4841, decode.d0.loss_cls: 9.0442, decode.d0.loss_mask: 0.9054, decode.d0.loss_dice: 1.8024, decode.d1.loss_cls: 1.7275, decode.d1.loss_mask: 0.9209, decode.d1.loss_dice: 1.5624, decode.d2.loss_cls: 1.5150, decode.d2.loss_mask: 0.9171, decode.d2.loss_dice: 1.5027, decode.d3.loss_cls: 1.4637, decode.d3.loss_mask: 0.9194, decode.d3.loss_dice: 1.4824, decode.d4.loss_cls: 1.4309, decode.d4.loss_mask: 0.9231, decode.d4.loss_dice: 1.4873, decode.d5.loss_cls: 1.4191, decode.d5.loss_mask: 0.9203, decode.d5.loss_dice: 1.4890, decode.d6.loss_cls: 1.4186, decode.d6.loss_mask: 0.9135, decode.d6.loss_dice: 1.4812, decode.d7.loss_cls: 1.4089, decode.d7.loss_mask: 0.9136, decode.d7.loss_dice: 1.4807, decode.d8.loss_cls: 1.3983, decode.d8.loss_mask: 0.9229, decode.d8.loss_dice: 1.4862, loss: 46.6766 2022-09-12 06:32:12,398 - mmseg - INFO - Iter [4750/80000] lr: 1.351e-06, eta: 1 day, 15:53:21, time: 1.860, data_time: 0.016, memory: 42763, decode.loss_cls: 1.4012, decode.loss_mask: 0.8986, decode.loss_dice: 1.4704, decode.d0.loss_cls: 9.0067, decode.d0.loss_mask: 0.8839, decode.d0.loss_dice: 1.7788, decode.d1.loss_cls: 1.7168, decode.d1.loss_mask: 0.9042, decode.d1.loss_dice: 1.5429, decode.d2.loss_cls: 1.5021, decode.d2.loss_mask: 0.9031, decode.d2.loss_dice: 1.4812, decode.d3.loss_cls: 1.4477, decode.d3.loss_mask: 0.8957, decode.d3.loss_dice: 1.4656, decode.d4.loss_cls: 1.4134, decode.d4.loss_mask: 0.8977, decode.d4.loss_dice: 1.4667, decode.d5.loss_cls: 1.4100, decode.d5.loss_mask: 0.8950, decode.d5.loss_dice: 1.4569, decode.d6.loss_cls: 1.4032, decode.d6.loss_mask: 0.9002, decode.d6.loss_dice: 1.4619, decode.d7.loss_cls: 1.3917, decode.d7.loss_mask: 0.8980, decode.d7.loss_dice: 1.4657, decode.d8.loss_cls: 1.3904, decode.d8.loss_mask: 0.9014, decode.d8.loss_dice: 1.4715, loss: 46.1229 2022-09-12 06:33:46,770 - mmseg - INFO - Iter [4800/80000] lr: 1.350e-06, eta: 1 day, 15:51:30, time: 1.888, data_time: 0.018, memory: 42763, decode.loss_cls: 1.3538, decode.loss_mask: 0.9049, decode.loss_dice: 1.4662, decode.d0.loss_cls: 8.9778, decode.d0.loss_mask: 0.8752, decode.d0.loss_dice: 1.7793, decode.d1.loss_cls: 1.6464, decode.d1.loss_mask: 0.8968, decode.d1.loss_dice: 1.5440, decode.d2.loss_cls: 1.4450, decode.d2.loss_mask: 0.8995, decode.d2.loss_dice: 1.4894, decode.d3.loss_cls: 1.3993, decode.d3.loss_mask: 0.8963, decode.d3.loss_dice: 1.4690, decode.d4.loss_cls: 1.3736, decode.d4.loss_mask: 0.8936, decode.d4.loss_dice: 1.4699, decode.d5.loss_cls: 1.3581, decode.d5.loss_mask: 0.8890, decode.d5.loss_dice: 1.4646, decode.d6.loss_cls: 1.3447, decode.d6.loss_mask: 0.8905, decode.d6.loss_dice: 1.4608, decode.d7.loss_cls: 1.3349, decode.d7.loss_mask: 0.8961, decode.d7.loss_dice: 1.4556, decode.d8.loss_cls: 1.3391, decode.d8.loss_mask: 0.9007, decode.d8.loss_dice: 1.4622, loss: 45.5765 2022-09-12 06:35:20,395 - mmseg - INFO - Iter [4850/80000] lr: 1.349e-06, eta: 1 day, 15:49:27, time: 1.872, data_time: 0.015, memory: 42763, decode.loss_cls: 1.3610, decode.loss_mask: 0.9087, decode.loss_dice: 1.4606, decode.d0.loss_cls: 8.9585, decode.d0.loss_mask: 0.8826, decode.d0.loss_dice: 1.7740, decode.d1.loss_cls: 1.6484, decode.d1.loss_mask: 0.9042, decode.d1.loss_dice: 1.5443, decode.d2.loss_cls: 1.4509, decode.d2.loss_mask: 0.9079, decode.d2.loss_dice: 1.4938, decode.d3.loss_cls: 1.4068, decode.d3.loss_mask: 0.9103, decode.d3.loss_dice: 1.4637, decode.d4.loss_cls: 1.3714, decode.d4.loss_mask: 0.8995, decode.d4.loss_dice: 1.4597, decode.d5.loss_cls: 1.3574, decode.d5.loss_mask: 0.9044, decode.d5.loss_dice: 1.4700, decode.d6.loss_cls: 1.3591, decode.d6.loss_mask: 0.9047, decode.d6.loss_dice: 1.4617, decode.d7.loss_cls: 1.3550, decode.d7.loss_mask: 0.8989, decode.d7.loss_dice: 1.4619, decode.d8.loss_cls: 1.3465, decode.d8.loss_mask: 0.9058, decode.d8.loss_dice: 1.4589, loss: 45.6906 2022-09-12 06:36:54,551 - mmseg - INFO - Iter [4900/80000] lr: 1.348e-06, eta: 1 day, 15:47:32, time: 1.883, data_time: 0.016, memory: 42763, decode.loss_cls: 1.3105, decode.loss_mask: 0.9337, decode.loss_dice: 1.4591, decode.d0.loss_cls: 8.9179, decode.d0.loss_mask: 0.8830, decode.d0.loss_dice: 1.7339, decode.d1.loss_cls: 1.6057, decode.d1.loss_mask: 0.9350, decode.d1.loss_dice: 1.5142, decode.d2.loss_cls: 1.4027, decode.d2.loss_mask: 0.9247, decode.d2.loss_dice: 1.4754, decode.d3.loss_cls: 1.3575, decode.d3.loss_mask: 0.9292, decode.d3.loss_dice: 1.4575, decode.d4.loss_cls: 1.3261, decode.d4.loss_mask: 0.9329, decode.d4.loss_dice: 1.4561, decode.d5.loss_cls: 1.3183, decode.d5.loss_mask: 0.9304, decode.d5.loss_dice: 1.4469, decode.d6.loss_cls: 1.3152, decode.d6.loss_mask: 0.9293, decode.d6.loss_dice: 1.4519, decode.d7.loss_cls: 1.3098, decode.d7.loss_mask: 0.9274, decode.d7.loss_dice: 1.4517, decode.d8.loss_cls: 1.3023, decode.d8.loss_mask: 0.9252, decode.d8.loss_dice: 1.4482, loss: 45.3117 2022-09-12 06:38:27,662 - mmseg - INFO - Iter [4950/80000] lr: 1.347e-06, eta: 1 day, 15:45:22, time: 1.862, data_time: 0.016, memory: 42763, decode.loss_cls: 1.3214, decode.loss_mask: 0.8758, decode.loss_dice: 1.4192, decode.d0.loss_cls: 8.8993, decode.d0.loss_mask: 0.8530, decode.d0.loss_dice: 1.7236, decode.d1.loss_cls: 1.6157, decode.d1.loss_mask: 0.8797, decode.d1.loss_dice: 1.4911, decode.d2.loss_cls: 1.4149, decode.d2.loss_mask: 0.8806, decode.d2.loss_dice: 1.4290, decode.d3.loss_cls: 1.3725, decode.d3.loss_mask: 0.8720, decode.d3.loss_dice: 1.4251, decode.d4.loss_cls: 1.3404, decode.d4.loss_mask: 0.8718, decode.d4.loss_dice: 1.4237, decode.d5.loss_cls: 1.3215, decode.d5.loss_mask: 0.8729, decode.d5.loss_dice: 1.4124, decode.d6.loss_cls: 1.3200, decode.d6.loss_mask: 0.8780, decode.d6.loss_dice: 1.3998, decode.d7.loss_cls: 1.3162, decode.d7.loss_mask: 0.8751, decode.d7.loss_dice: 1.4126, decode.d8.loss_cls: 1.3079, decode.d8.loss_mask: 0.8728, decode.d8.loss_dice: 1.4080, loss: 44.5058 2022-09-12 06:40:00,938 - mmseg - INFO - Saving checkpoint at 5000 iterations 2022-09-12 06:40:31,067 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 06:40:31,075 - mmseg - INFO - Iter [5000/80000] lr: 1.346e-06, eta: 1 day, 15:50:46, time: 2.466, data_time: 0.016, memory: 42763, decode.loss_cls: 1.3775, decode.loss_mask: 0.8996, decode.loss_dice: 1.4709, decode.d0.loss_cls: 8.8803, decode.d0.loss_mask: 0.8740, decode.d0.loss_dice: 1.7629, decode.d1.loss_cls: 1.6649, decode.d1.loss_mask: 0.9080, decode.d1.loss_dice: 1.5415, decode.d2.loss_cls: 1.4625, decode.d2.loss_mask: 0.9038, decode.d2.loss_dice: 1.4914, decode.d3.loss_cls: 1.4150, decode.d3.loss_mask: 0.8983, decode.d3.loss_dice: 1.4697, decode.d4.loss_cls: 1.3792, decode.d4.loss_mask: 0.9057, decode.d4.loss_dice: 1.4718, decode.d5.loss_cls: 1.3657, decode.d5.loss_mask: 0.9011, decode.d5.loss_dice: 1.4639, decode.d6.loss_cls: 1.3677, decode.d6.loss_mask: 0.9025, decode.d6.loss_dice: 1.4598, decode.d7.loss_cls: 1.3694, decode.d7.loss_mask: 0.9014, decode.d7.loss_dice: 1.4635, decode.d8.loss_cls: 1.3619, decode.d8.loss_mask: 0.9005, decode.d8.loss_dice: 1.4617, loss: 45.6962 2022-09-12 06:42:05,226 - mmseg - INFO - Iter [5050/80000] lr: 1.345e-06, eta: 1 day, 15:48:50, time: 1.885, data_time: 0.018, memory: 42763, decode.loss_cls: 1.3103, decode.loss_mask: 0.9163, decode.loss_dice: 1.4443, decode.d0.loss_cls: 8.8431, decode.d0.loss_mask: 0.8857, decode.d0.loss_dice: 1.7367, decode.d1.loss_cls: 1.5963, decode.d1.loss_mask: 0.9168, decode.d1.loss_dice: 1.5082, decode.d2.loss_cls: 1.3927, decode.d2.loss_mask: 0.9125, decode.d2.loss_dice: 1.4645, decode.d3.loss_cls: 1.3500, decode.d3.loss_mask: 0.9124, decode.d3.loss_dice: 1.4500, decode.d4.loss_cls: 1.3221, decode.d4.loss_mask: 0.9112, decode.d4.loss_dice: 1.4500, decode.d5.loss_cls: 1.3091, decode.d5.loss_mask: 0.9112, decode.d5.loss_dice: 1.4448, decode.d6.loss_cls: 1.3054, decode.d6.loss_mask: 0.9125, decode.d6.loss_dice: 1.4420, decode.d7.loss_cls: 1.3063, decode.d7.loss_mask: 0.9143, decode.d7.loss_dice: 1.4461, decode.d8.loss_cls: 1.3046, decode.d8.loss_mask: 0.9179, decode.d8.loss_dice: 1.4458, loss: 44.9831 2022-09-12 06:43:38,425 - mmseg - INFO - Iter [5100/80000] lr: 1.344e-06, eta: 1 day, 15:46:39, time: 1.864, data_time: 0.018, memory: 42763, decode.loss_cls: 1.3656, decode.loss_mask: 0.9269, decode.loss_dice: 1.4989, decode.d0.loss_cls: 8.8247, decode.d0.loss_mask: 0.9060, decode.d0.loss_dice: 1.8031, decode.d1.loss_cls: 1.6273, decode.d1.loss_mask: 0.9474, decode.d1.loss_dice: 1.5761, decode.d2.loss_cls: 1.4358, decode.d2.loss_mask: 0.9354, decode.d2.loss_dice: 1.5202, decode.d3.loss_cls: 1.3953, decode.d3.loss_mask: 0.9289, decode.d3.loss_dice: 1.4977, decode.d4.loss_cls: 1.3749, decode.d4.loss_mask: 0.9301, decode.d4.loss_dice: 1.5090, decode.d5.loss_cls: 1.3632, decode.d5.loss_mask: 0.9253, decode.d5.loss_dice: 1.4989, decode.d6.loss_cls: 1.3620, decode.d6.loss_mask: 0.9204, decode.d6.loss_dice: 1.4966, decode.d7.loss_cls: 1.3529, decode.d7.loss_mask: 0.9252, decode.d7.loss_dice: 1.4948, decode.d8.loss_cls: 1.3487, decode.d8.loss_mask: 0.9327, decode.d8.loss_dice: 1.4916, loss: 46.1155 2022-09-12 06:45:12,543 - mmseg - INFO - Iter [5150/80000] lr: 1.343e-06, eta: 1 day, 15:44:42, time: 1.883, data_time: 0.014, memory: 42763, decode.loss_cls: 1.3195, decode.loss_mask: 0.9294, decode.loss_dice: 1.4671, decode.d0.loss_cls: 8.7985, decode.d0.loss_mask: 0.8933, decode.d0.loss_dice: 1.7635, decode.d1.loss_cls: 1.6039, decode.d1.loss_mask: 0.9254, decode.d1.loss_dice: 1.5346, decode.d2.loss_cls: 1.4112, decode.d2.loss_mask: 0.9168, decode.d2.loss_dice: 1.4883, decode.d3.loss_cls: 1.3535, decode.d3.loss_mask: 0.9174, decode.d3.loss_dice: 1.4644, decode.d4.loss_cls: 1.3370, decode.d4.loss_mask: 0.9234, decode.d4.loss_dice: 1.4699, decode.d5.loss_cls: 1.3255, decode.d5.loss_mask: 0.9202, decode.d5.loss_dice: 1.4598, decode.d6.loss_cls: 1.3216, decode.d6.loss_mask: 0.9218, decode.d6.loss_dice: 1.4575, decode.d7.loss_cls: 1.3052, decode.d7.loss_mask: 0.9258, decode.d7.loss_dice: 1.4716, decode.d8.loss_cls: 1.2983, decode.d8.loss_mask: 0.9324, decode.d8.loss_dice: 1.4743, loss: 45.3312 2022-09-12 06:46:46,394 - mmseg - INFO - Iter [5200/80000] lr: 1.342e-06, eta: 1 day, 15:42:41, time: 1.876, data_time: 0.014, memory: 42763, decode.loss_cls: 1.3075, decode.loss_mask: 0.9128, decode.loss_dice: 1.4271, decode.d0.loss_cls: 8.7657, decode.d0.loss_mask: 0.8855, decode.d0.loss_dice: 1.7287, decode.d1.loss_cls: 1.5820, decode.d1.loss_mask: 0.9181, decode.d1.loss_dice: 1.4840, decode.d2.loss_cls: 1.3848, decode.d2.loss_mask: 0.9160, decode.d2.loss_dice: 1.4483, decode.d3.loss_cls: 1.3379, decode.d3.loss_mask: 0.9095, decode.d3.loss_dice: 1.4253, decode.d4.loss_cls: 1.3087, decode.d4.loss_mask: 0.9098, decode.d4.loss_dice: 1.4312, decode.d5.loss_cls: 1.3022, decode.d5.loss_mask: 0.9032, decode.d5.loss_dice: 1.4191, decode.d6.loss_cls: 1.3035, decode.d6.loss_mask: 0.9065, decode.d6.loss_dice: 1.4183, decode.d7.loss_cls: 1.3006, decode.d7.loss_mask: 0.9059, decode.d7.loss_dice: 1.4268, decode.d8.loss_cls: 1.2959, decode.d8.loss_mask: 0.9064, decode.d8.loss_dice: 1.4156, loss: 44.5869 2022-09-12 06:48:19,506 - mmseg - INFO - Iter [5250/80000] lr: 1.342e-06, eta: 1 day, 15:40:31, time: 1.863, data_time: 0.017, memory: 42763, decode.loss_cls: 1.2941, decode.loss_mask: 0.9066, decode.loss_dice: 1.4289, decode.d0.loss_cls: 8.7435, decode.d0.loss_mask: 0.8907, decode.d0.loss_dice: 1.7230, decode.d1.loss_cls: 1.5571, decode.d1.loss_mask: 0.9166, decode.d1.loss_dice: 1.5057, decode.d2.loss_cls: 1.3780, decode.d2.loss_mask: 0.9119, decode.d2.loss_dice: 1.4641, decode.d3.loss_cls: 1.3228, decode.d3.loss_mask: 0.9137, decode.d3.loss_dice: 1.4434, decode.d4.loss_cls: 1.2922, decode.d4.loss_mask: 0.9077, decode.d4.loss_dice: 1.4385, decode.d5.loss_cls: 1.2865, decode.d5.loss_mask: 0.9036, decode.d5.loss_dice: 1.4364, decode.d6.loss_cls: 1.2814, decode.d6.loss_mask: 0.9061, decode.d6.loss_dice: 1.4247, decode.d7.loss_cls: 1.2803, decode.d7.loss_mask: 0.9089, decode.d7.loss_dice: 1.4283, decode.d8.loss_cls: 1.2746, decode.d8.loss_mask: 0.9083, decode.d8.loss_dice: 1.4218, loss: 44.4996 2022-09-12 06:49:53,368 - mmseg - INFO - Iter [5300/80000] lr: 1.341e-06, eta: 1 day, 15:38:32, time: 1.877, data_time: 0.015, memory: 42763, decode.loss_cls: 1.3579, decode.loss_mask: 0.9031, decode.loss_dice: 1.4970, decode.d0.loss_cls: 8.7245, decode.d0.loss_mask: 0.8829, decode.d0.loss_dice: 1.7900, decode.d1.loss_cls: 1.6229, decode.d1.loss_mask: 0.9156, decode.d1.loss_dice: 1.5658, decode.d2.loss_cls: 1.4318, decode.d2.loss_mask: 0.9052, decode.d2.loss_dice: 1.5241, decode.d3.loss_cls: 1.3830, decode.d3.loss_mask: 0.9024, decode.d3.loss_dice: 1.5023, decode.d4.loss_cls: 1.3680, decode.d4.loss_mask: 0.9084, decode.d4.loss_dice: 1.4963, decode.d5.loss_cls: 1.3543, decode.d5.loss_mask: 0.9040, decode.d5.loss_dice: 1.4898, decode.d6.loss_cls: 1.3359, decode.d6.loss_mask: 0.9091, decode.d6.loss_dice: 1.4941, decode.d7.loss_cls: 1.3311, decode.d7.loss_mask: 0.9044, decode.d7.loss_dice: 1.4939, decode.d8.loss_cls: 1.3303, decode.d8.loss_mask: 0.9080, decode.d8.loss_dice: 1.4999, loss: 45.6362 2022-09-12 06:51:27,543 - mmseg - INFO - Iter [5350/80000] lr: 1.340e-06, eta: 1 day, 15:36:38, time: 1.884, data_time: 0.016, memory: 42763, decode.loss_cls: 1.3276, decode.loss_mask: 0.8915, decode.loss_dice: 1.4830, decode.d0.loss_cls: 8.6917, decode.d0.loss_mask: 0.8733, decode.d0.loss_dice: 1.7939, decode.d1.loss_cls: 1.5922, decode.d1.loss_mask: 0.8955, decode.d1.loss_dice: 1.5745, decode.d2.loss_cls: 1.3971, decode.d2.loss_mask: 0.8880, decode.d2.loss_dice: 1.5119, decode.d3.loss_cls: 1.3636, decode.d3.loss_mask: 0.8969, decode.d3.loss_dice: 1.4967, decode.d4.loss_cls: 1.3449, decode.d4.loss_mask: 0.8907, decode.d4.loss_dice: 1.4963, decode.d5.loss_cls: 1.3333, decode.d5.loss_mask: 0.8866, decode.d5.loss_dice: 1.4857, decode.d6.loss_cls: 1.3237, decode.d6.loss_mask: 0.8942, decode.d6.loss_dice: 1.4806, decode.d7.loss_cls: 1.3251, decode.d7.loss_mask: 0.8902, decode.d7.loss_dice: 1.4812, decode.d8.loss_cls: 1.3138, decode.d8.loss_mask: 0.8889, decode.d8.loss_dice: 1.4816, loss: 45.1944 2022-09-12 06:53:02,544 - mmseg - INFO - Iter [5400/80000] lr: 1.339e-06, eta: 1 day, 15:34:55, time: 1.900, data_time: 0.016, memory: 42763, decode.loss_cls: 1.2965, decode.loss_mask: 0.8890, decode.loss_dice: 1.4429, decode.d0.loss_cls: 8.6636, decode.d0.loss_mask: 0.8635, decode.d0.loss_dice: 1.7353, decode.d1.loss_cls: 1.5658, decode.d1.loss_mask: 0.8990, decode.d1.loss_dice: 1.5136, decode.d2.loss_cls: 1.3788, decode.d2.loss_mask: 0.8895, decode.d2.loss_dice: 1.4676, decode.d3.loss_cls: 1.3376, decode.d3.loss_mask: 0.8891, decode.d3.loss_dice: 1.4472, decode.d4.loss_cls: 1.3093, decode.d4.loss_mask: 0.8881, decode.d4.loss_dice: 1.4593, decode.d5.loss_cls: 1.2891, decode.d5.loss_mask: 0.8909, decode.d5.loss_dice: 1.4453, decode.d6.loss_cls: 1.2864, decode.d6.loss_mask: 0.8861, decode.d6.loss_dice: 1.4403, decode.d7.loss_cls: 1.2815, decode.d7.loss_mask: 0.8901, decode.d7.loss_dice: 1.4444, decode.d8.loss_cls: 1.2854, decode.d8.loss_mask: 0.8904, decode.d8.loss_dice: 1.4408, loss: 44.4066 2022-09-12 06:54:35,479 - mmseg - INFO - Iter [5450/80000] lr: 1.338e-06, eta: 1 day, 15:32:45, time: 1.859, data_time: 0.016, memory: 42763, decode.loss_cls: 1.2930, decode.loss_mask: 0.8893, decode.loss_dice: 1.4452, decode.d0.loss_cls: 8.6304, decode.d0.loss_mask: 0.8708, decode.d0.loss_dice: 1.7375, decode.d1.loss_cls: 1.5307, decode.d1.loss_mask: 0.9037, decode.d1.loss_dice: 1.5005, decode.d2.loss_cls: 1.3527, decode.d2.loss_mask: 0.8992, decode.d2.loss_dice: 1.4635, decode.d3.loss_cls: 1.3145, decode.d3.loss_mask: 0.8997, decode.d3.loss_dice: 1.4409, decode.d4.loss_cls: 1.2853, decode.d4.loss_mask: 0.8997, decode.d4.loss_dice: 1.4403, decode.d5.loss_cls: 1.2816, decode.d5.loss_mask: 0.8945, decode.d5.loss_dice: 1.4432, decode.d6.loss_cls: 1.2846, decode.d6.loss_mask: 0.8949, decode.d6.loss_dice: 1.4428, decode.d7.loss_cls: 1.2772, decode.d7.loss_mask: 0.8946, decode.d7.loss_dice: 1.4435, decode.d8.loss_cls: 1.2702, decode.d8.loss_mask: 0.8954, decode.d8.loss_dice: 1.4417, loss: 44.2608 2022-09-12 06:56:09,453 - mmseg - INFO - Iter [5500/80000] lr: 1.337e-06, eta: 1 day, 15:30:48, time: 1.879, data_time: 0.016, memory: 42763, decode.loss_cls: 1.2856, decode.loss_mask: 0.8647, decode.loss_dice: 1.4225, decode.d0.loss_cls: 8.6074, decode.d0.loss_mask: 0.8405, decode.d0.loss_dice: 1.7156, decode.d1.loss_cls: 1.5291, decode.d1.loss_mask: 0.8863, decode.d1.loss_dice: 1.4940, decode.d2.loss_cls: 1.3621, decode.d2.loss_mask: 0.8711, decode.d2.loss_dice: 1.4488, decode.d3.loss_cls: 1.3176, decode.d3.loss_mask: 0.8666, decode.d3.loss_dice: 1.4285, decode.d4.loss_cls: 1.2917, decode.d4.loss_mask: 0.8670, decode.d4.loss_dice: 1.4315, decode.d5.loss_cls: 1.2866, decode.d5.loss_mask: 0.8661, decode.d5.loss_dice: 1.4207, decode.d6.loss_cls: 1.2813, decode.d6.loss_mask: 0.8612, decode.d6.loss_dice: 1.4180, decode.d7.loss_cls: 1.2814, decode.d7.loss_mask: 0.8587, decode.d7.loss_dice: 1.4182, decode.d8.loss_cls: 1.2802, decode.d8.loss_mask: 0.8644, decode.d8.loss_dice: 1.4182, loss: 43.7856 2022-09-12 06:57:42,739 - mmseg - INFO - Iter [5550/80000] lr: 1.336e-06, eta: 1 day, 15:28:44, time: 1.866, data_time: 0.017, memory: 42763, decode.loss_cls: 1.3098, decode.loss_mask: 0.9036, decode.loss_dice: 1.4933, decode.d0.loss_cls: 8.5935, decode.d0.loss_mask: 0.8732, decode.d0.loss_dice: 1.7687, decode.d1.loss_cls: 1.5711, decode.d1.loss_mask: 0.9073, decode.d1.loss_dice: 1.5600, decode.d2.loss_cls: 1.3886, decode.d2.loss_mask: 0.9067, decode.d2.loss_dice: 1.5063, decode.d3.loss_cls: 1.3425, decode.d3.loss_mask: 0.9036, decode.d3.loss_dice: 1.4931, decode.d4.loss_cls: 1.3193, decode.d4.loss_mask: 0.8984, decode.d4.loss_dice: 1.4882, decode.d5.loss_cls: 1.3068, decode.d5.loss_mask: 0.8981, decode.d5.loss_dice: 1.4795, decode.d6.loss_cls: 1.3050, decode.d6.loss_mask: 0.9058, decode.d6.loss_dice: 1.4795, decode.d7.loss_cls: 1.2985, decode.d7.loss_mask: 0.8993, decode.d7.loss_dice: 1.4835, decode.d8.loss_cls: 1.2935, decode.d8.loss_mask: 0.9048, decode.d8.loss_dice: 1.4816, loss: 44.9631 2022-09-12 06:59:16,405 - mmseg - INFO - Iter [5600/80000] lr: 1.335e-06, eta: 1 day, 15:26:45, time: 1.873, data_time: 0.015, memory: 42763, decode.loss_cls: 1.2870, decode.loss_mask: 0.8867, decode.loss_dice: 1.4444, decode.d0.loss_cls: 8.5517, decode.d0.loss_mask: 0.8556, decode.d0.loss_dice: 1.7329, decode.d1.loss_cls: 1.5287, decode.d1.loss_mask: 0.8987, decode.d1.loss_dice: 1.5119, decode.d2.loss_cls: 1.3405, decode.d2.loss_mask: 0.8942, decode.d2.loss_dice: 1.4590, decode.d3.loss_cls: 1.3012, decode.d3.loss_mask: 0.8850, decode.d3.loss_dice: 1.4439, decode.d4.loss_cls: 1.2903, decode.d4.loss_mask: 0.8827, decode.d4.loss_dice: 1.4438, decode.d5.loss_cls: 1.2789, decode.d5.loss_mask: 0.8825, decode.d5.loss_dice: 1.4405, decode.d6.loss_cls: 1.2737, decode.d6.loss_mask: 0.8841, decode.d6.loss_dice: 1.4346, decode.d7.loss_cls: 1.2674, decode.d7.loss_mask: 0.8896, decode.d7.loss_dice: 1.4354, decode.d8.loss_cls: 1.2688, decode.d8.loss_mask: 0.8859, decode.d8.loss_dice: 1.4282, loss: 44.0077 2022-09-12 07:00:50,530 - mmseg - INFO - Iter [5650/80000] lr: 1.334e-06, eta: 1 day, 15:24:52, time: 1.883, data_time: 0.015, memory: 42763, decode.loss_cls: 1.2706, decode.loss_mask: 0.9207, decode.loss_dice: 1.4533, decode.d0.loss_cls: 8.5239, decode.d0.loss_mask: 0.8811, decode.d0.loss_dice: 1.7326, decode.d1.loss_cls: 1.5079, decode.d1.loss_mask: 0.9182, decode.d1.loss_dice: 1.5286, decode.d2.loss_cls: 1.3369, decode.d2.loss_mask: 0.9193, decode.d2.loss_dice: 1.4697, decode.d3.loss_cls: 1.2955, decode.d3.loss_mask: 0.9232, decode.d3.loss_dice: 1.4612, decode.d4.loss_cls: 1.2772, decode.d4.loss_mask: 0.9174, decode.d4.loss_dice: 1.4601, decode.d5.loss_cls: 1.2675, decode.d5.loss_mask: 0.9170, decode.d5.loss_dice: 1.4439, decode.d6.loss_cls: 1.2664, decode.d6.loss_mask: 0.9206, decode.d6.loss_dice: 1.4460, decode.d7.loss_cls: 1.2633, decode.d7.loss_mask: 0.9175, decode.d7.loss_dice: 1.4569, decode.d8.loss_cls: 1.2633, decode.d8.loss_mask: 0.9266, decode.d8.loss_dice: 1.4569, loss: 44.3432 2022-09-12 07:02:24,737 - mmseg - INFO - Iter [5700/80000] lr: 1.334e-06, eta: 1 day, 15:23:01, time: 1.884, data_time: 0.014, memory: 42763, decode.loss_cls: 1.3072, decode.loss_mask: 0.8658, decode.loss_dice: 1.4690, decode.d0.loss_cls: 8.5010, decode.d0.loss_mask: 0.8479, decode.d0.loss_dice: 1.7620, decode.d1.loss_cls: 1.5498, decode.d1.loss_mask: 0.8751, decode.d1.loss_dice: 1.5571, decode.d2.loss_cls: 1.3730, decode.d2.loss_mask: 0.8738, decode.d2.loss_dice: 1.4989, decode.d3.loss_cls: 1.3343, decode.d3.loss_mask: 0.8686, decode.d3.loss_dice: 1.4778, decode.d4.loss_cls: 1.3166, decode.d4.loss_mask: 0.8667, decode.d4.loss_dice: 1.4784, decode.d5.loss_cls: 1.3026, decode.d5.loss_mask: 0.8684, decode.d5.loss_dice: 1.4701, decode.d6.loss_cls: 1.3035, decode.d6.loss_mask: 0.8660, decode.d6.loss_dice: 1.4673, decode.d7.loss_cls: 1.2967, decode.d7.loss_mask: 0.8719, decode.d7.loss_dice: 1.4642, decode.d8.loss_cls: 1.2915, decode.d8.loss_mask: 0.8687, decode.d8.loss_dice: 1.4689, loss: 44.3627 2022-09-12 07:03:57,763 - mmseg - INFO - Iter [5750/80000] lr: 1.333e-06, eta: 1 day, 15:20:55, time: 1.860, data_time: 0.016, memory: 42763, decode.loss_cls: 1.2779, decode.loss_mask: 0.9036, decode.loss_dice: 1.4157, decode.d0.loss_cls: 8.4709, decode.d0.loss_mask: 0.8720, decode.d0.loss_dice: 1.7202, decode.d1.loss_cls: 1.5231, decode.d1.loss_mask: 0.9092, decode.d1.loss_dice: 1.5039, decode.d2.loss_cls: 1.3534, decode.d2.loss_mask: 0.8979, decode.d2.loss_dice: 1.4471, decode.d3.loss_cls: 1.3059, decode.d3.loss_mask: 0.9008, decode.d3.loss_dice: 1.4245, decode.d4.loss_cls: 1.2878, decode.d4.loss_mask: 0.9017, decode.d4.loss_dice: 1.4242, decode.d5.loss_cls: 1.2678, decode.d5.loss_mask: 0.9010, decode.d5.loss_dice: 1.4200, decode.d6.loss_cls: 1.2606, decode.d6.loss_mask: 0.9046, decode.d6.loss_dice: 1.4164, decode.d7.loss_cls: 1.2574, decode.d7.loss_mask: 0.9016, decode.d7.loss_dice: 1.4299, decode.d8.loss_cls: 1.2505, decode.d8.loss_mask: 0.9047, decode.d8.loss_dice: 1.4283, loss: 43.8825 2022-09-12 07:05:30,768 - mmseg - INFO - Iter [5800/80000] lr: 1.332e-06, eta: 1 day, 15:18:49, time: 1.860, data_time: 0.015, memory: 42763, decode.loss_cls: 1.2667, decode.loss_mask: 0.9013, decode.loss_dice: 1.4112, decode.d0.loss_cls: 8.4320, decode.d0.loss_mask: 0.8649, decode.d0.loss_dice: 1.6851, decode.d1.loss_cls: 1.4911, decode.d1.loss_mask: 0.9029, decode.d1.loss_dice: 1.4838, decode.d2.loss_cls: 1.3335, decode.d2.loss_mask: 0.8935, decode.d2.loss_dice: 1.4317, decode.d3.loss_cls: 1.2879, decode.d3.loss_mask: 0.8920, decode.d3.loss_dice: 1.4179, decode.d4.loss_cls: 1.2663, decode.d4.loss_mask: 0.8929, decode.d4.loss_dice: 1.4184, decode.d5.loss_cls: 1.2620, decode.d5.loss_mask: 0.8885, decode.d5.loss_dice: 1.4067, decode.d6.loss_cls: 1.2614, decode.d6.loss_mask: 0.8933, decode.d6.loss_dice: 1.3980, decode.d7.loss_cls: 1.2535, decode.d7.loss_mask: 0.8950, decode.d7.loss_dice: 1.4050, decode.d8.loss_cls: 1.2512, decode.d8.loss_mask: 0.8960, decode.d8.loss_dice: 1.4113, loss: 43.4952 2022-09-12 07:07:04,201 - mmseg - INFO - Iter [5850/80000] lr: 1.331e-06, eta: 1 day, 15:16:48, time: 1.868, data_time: 0.015, memory: 42763, decode.loss_cls: 1.2574, decode.loss_mask: 0.8718, decode.loss_dice: 1.4526, decode.d0.loss_cls: 8.4040, decode.d0.loss_mask: 0.8497, decode.d0.loss_dice: 1.7411, decode.d1.loss_cls: 1.4898, decode.d1.loss_mask: 0.8852, decode.d1.loss_dice: 1.5219, decode.d2.loss_cls: 1.3164, decode.d2.loss_mask: 0.8740, decode.d2.loss_dice: 1.4731, decode.d3.loss_cls: 1.2838, decode.d3.loss_mask: 0.8657, decode.d3.loss_dice: 1.4564, decode.d4.loss_cls: 1.2616, decode.d4.loss_mask: 0.8696, decode.d4.loss_dice: 1.4628, decode.d5.loss_cls: 1.2553, decode.d5.loss_mask: 0.8732, decode.d5.loss_dice: 1.4498, decode.d6.loss_cls: 1.2577, decode.d6.loss_mask: 0.8746, decode.d6.loss_dice: 1.4409, decode.d7.loss_cls: 1.2507, decode.d7.loss_mask: 0.8713, decode.d7.loss_dice: 1.4573, decode.d8.loss_cls: 1.2505, decode.d8.loss_mask: 0.8708, decode.d8.loss_dice: 1.4464, loss: 43.6354 2022-09-12 07:08:37,321 - mmseg - INFO - Iter [5900/80000] lr: 1.330e-06, eta: 1 day, 15:14:45, time: 1.863, data_time: 0.015, memory: 42763, decode.loss_cls: 1.2959, decode.loss_mask: 0.8633, decode.loss_dice: 1.4329, decode.d0.loss_cls: 8.3825, decode.d0.loss_mask: 0.8578, decode.d0.loss_dice: 1.7246, decode.d1.loss_cls: 1.5071, decode.d1.loss_mask: 0.8953, decode.d1.loss_dice: 1.5052, decode.d2.loss_cls: 1.3349, decode.d2.loss_mask: 0.8825, decode.d2.loss_dice: 1.4608, decode.d3.loss_cls: 1.3135, decode.d3.loss_mask: 0.8830, decode.d3.loss_dice: 1.4389, decode.d4.loss_cls: 1.2897, decode.d4.loss_mask: 0.8748, decode.d4.loss_dice: 1.4364, decode.d5.loss_cls: 1.2761, decode.d5.loss_mask: 0.8750, decode.d5.loss_dice: 1.4323, decode.d6.loss_cls: 1.2766, decode.d6.loss_mask: 0.8818, decode.d6.loss_dice: 1.4271, decode.d7.loss_cls: 1.2772, decode.d7.loss_mask: 0.8841, decode.d7.loss_dice: 1.4291, decode.d8.loss_cls: 1.2760, decode.d8.loss_mask: 0.8733, decode.d8.loss_dice: 1.4273, loss: 43.7150 2022-09-12 07:10:10,195 - mmseg - INFO - Iter [5950/80000] lr: 1.329e-06, eta: 1 day, 15:12:39, time: 1.857, data_time: 0.016, memory: 42763, decode.loss_cls: 1.1866, decode.loss_mask: 0.8971, decode.loss_dice: 1.3620, decode.d0.loss_cls: 8.3215, decode.d0.loss_mask: 0.8738, decode.d0.loss_dice: 1.6274, decode.d1.loss_cls: 1.3941, decode.d1.loss_mask: 0.9080, decode.d1.loss_dice: 1.4378, decode.d2.loss_cls: 1.2429, decode.d2.loss_mask: 0.8973, decode.d2.loss_dice: 1.3796, decode.d3.loss_cls: 1.2087, decode.d3.loss_mask: 0.8985, decode.d3.loss_dice: 1.3642, decode.d4.loss_cls: 1.1861, decode.d4.loss_mask: 0.9058, decode.d4.loss_dice: 1.3672, decode.d5.loss_cls: 1.1746, decode.d5.loss_mask: 0.9084, decode.d5.loss_dice: 1.3649, decode.d6.loss_cls: 1.1789, decode.d6.loss_mask: 0.8962, decode.d6.loss_dice: 1.3560, decode.d7.loss_cls: 1.1736, decode.d7.loss_mask: 0.9057, decode.d7.loss_dice: 1.3704, decode.d8.loss_cls: 1.1769, decode.d8.loss_mask: 0.9011, decode.d8.loss_dice: 1.3611, loss: 42.2262 2022-09-12 07:11:42,087 - mmseg - INFO - Saving checkpoint at 6000 iterations 2022-09-12 07:12:12,818 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 07:12:12,825 - mmseg - INFO - Iter [6000/80000] lr: 1.328e-06, eta: 1 day, 15:16:40, time: 2.450, data_time: 0.015, memory: 42763, decode.loss_cls: 1.2730, decode.loss_mask: 0.8563, decode.loss_dice: 1.4184, decode.d0.loss_cls: 8.3213, decode.d0.loss_mask: 0.8379, decode.d0.loss_dice: 1.7241, decode.d1.loss_cls: 1.5032, decode.d1.loss_mask: 0.8668, decode.d1.loss_dice: 1.5066, decode.d2.loss_cls: 1.3373, decode.d2.loss_mask: 0.8596, decode.d2.loss_dice: 1.4425, decode.d3.loss_cls: 1.2958, decode.d3.loss_mask: 0.8592, decode.d3.loss_dice: 1.4269, decode.d4.loss_cls: 1.2798, decode.d4.loss_mask: 0.8630, decode.d4.loss_dice: 1.4209, decode.d5.loss_cls: 1.2692, decode.d5.loss_mask: 0.8580, decode.d5.loss_dice: 1.4296, decode.d6.loss_cls: 1.2658, decode.d6.loss_mask: 0.8572, decode.d6.loss_dice: 1.4231, decode.d7.loss_cls: 1.2654, decode.d7.loss_mask: 0.8545, decode.d7.loss_dice: 1.4180, decode.d8.loss_cls: 1.2685, decode.d8.loss_mask: 0.8538, decode.d8.loss_dice: 1.4126, loss: 43.2683 2022-09-12 07:13:46,505 - mmseg - INFO - Iter [6050/80000] lr: 1.327e-06, eta: 1 day, 15:14:42, time: 1.875, data_time: 0.018, memory: 42763, decode.loss_cls: 1.2254, decode.loss_mask: 0.8811, decode.loss_dice: 1.4141, decode.d0.loss_cls: 8.2861, decode.d0.loss_mask: 0.8542, decode.d0.loss_dice: 1.7055, decode.d1.loss_cls: 1.4412, decode.d1.loss_mask: 0.8865, decode.d1.loss_dice: 1.4892, decode.d2.loss_cls: 1.2682, decode.d2.loss_mask: 0.8844, decode.d2.loss_dice: 1.4387, decode.d3.loss_cls: 1.2452, decode.d3.loss_mask: 0.8790, decode.d3.loss_dice: 1.4174, decode.d4.loss_cls: 1.2221, decode.d4.loss_mask: 0.8811, decode.d4.loss_dice: 1.4248, decode.d5.loss_cls: 1.2157, decode.d5.loss_mask: 0.8848, decode.d5.loss_dice: 1.4180, decode.d6.loss_cls: 1.2164, decode.d6.loss_mask: 0.8763, decode.d6.loss_dice: 1.4056, decode.d7.loss_cls: 1.2088, decode.d7.loss_mask: 0.8861, decode.d7.loss_dice: 1.4206, decode.d8.loss_cls: 1.2077, decode.d8.loss_mask: 0.8857, decode.d8.loss_dice: 1.4091, loss: 42.8790 2022-09-12 07:15:20,216 - mmseg - INFO - Iter [6100/80000] lr: 1.326e-06, eta: 1 day, 15:12:45, time: 1.875, data_time: 0.017, memory: 42763, decode.loss_cls: 1.2869, decode.loss_mask: 0.8645, decode.loss_dice: 1.4187, decode.d0.loss_cls: 8.2694, decode.d0.loss_mask: 0.8473, decode.d0.loss_dice: 1.7059, decode.d1.loss_cls: 1.5020, decode.d1.loss_mask: 0.8781, decode.d1.loss_dice: 1.4908, decode.d2.loss_cls: 1.3239, decode.d2.loss_mask: 0.8663, decode.d2.loss_dice: 1.4429, decode.d3.loss_cls: 1.3040, decode.d3.loss_mask: 0.8652, decode.d3.loss_dice: 1.4148, decode.d4.loss_cls: 1.2839, decode.d4.loss_mask: 0.8656, decode.d4.loss_dice: 1.4185, decode.d5.loss_cls: 1.2763, decode.d5.loss_mask: 0.8619, decode.d5.loss_dice: 1.4069, decode.d6.loss_cls: 1.2755, decode.d6.loss_mask: 0.8649, decode.d6.loss_dice: 1.4006, decode.d7.loss_cls: 1.2696, decode.d7.loss_mask: 0.8609, decode.d7.loss_dice: 1.4163, decode.d8.loss_cls: 1.2699, decode.d8.loss_mask: 0.8613, decode.d8.loss_dice: 1.4114, loss: 43.2243 2022-09-12 07:16:54,567 - mmseg - INFO - Iter [6150/80000] lr: 1.325e-06, eta: 1 day, 15:10:56, time: 1.887, data_time: 0.016, memory: 42763, decode.loss_cls: 1.2451, decode.loss_mask: 0.9027, decode.loss_dice: 1.4555, decode.d0.loss_cls: 8.2358, decode.d0.loss_mask: 0.8783, decode.d0.loss_dice: 1.7251, decode.d1.loss_cls: 1.4577, decode.d1.loss_mask: 0.9156, decode.d1.loss_dice: 1.5290, decode.d2.loss_cls: 1.2869, decode.d2.loss_mask: 0.9070, decode.d2.loss_dice: 1.4878, decode.d3.loss_cls: 1.2668, decode.d3.loss_mask: 0.9016, decode.d3.loss_dice: 1.4567, decode.d4.loss_cls: 1.2510, decode.d4.loss_mask: 0.8941, decode.d4.loss_dice: 1.4581, decode.d5.loss_cls: 1.2400, decode.d5.loss_mask: 0.8977, decode.d5.loss_dice: 1.4528, decode.d6.loss_cls: 1.2387, decode.d6.loss_mask: 0.8993, decode.d6.loss_dice: 1.4514, decode.d7.loss_cls: 1.2325, decode.d7.loss_mask: 0.9027, decode.d7.loss_dice: 1.4515, decode.d8.loss_cls: 1.2388, decode.d8.loss_mask: 0.8984, decode.d8.loss_dice: 1.4498, loss: 43.6087 2022-09-12 07:18:27,976 - mmseg - INFO - Iter [6200/80000] lr: 1.325e-06, eta: 1 day, 15:08:55, time: 1.868, data_time: 0.017, memory: 42763, decode.loss_cls: 1.2506, decode.loss_mask: 0.8979, decode.loss_dice: 1.4200, decode.d0.loss_cls: 8.2140, decode.d0.loss_mask: 0.8691, decode.d0.loss_dice: 1.6888, decode.d1.loss_cls: 1.4739, decode.d1.loss_mask: 0.9009, decode.d1.loss_dice: 1.4944, decode.d2.loss_cls: 1.3101, decode.d2.loss_mask: 0.9026, decode.d2.loss_dice: 1.4346, decode.d3.loss_cls: 1.2688, decode.d3.loss_mask: 0.9069, decode.d3.loss_dice: 1.4244, decode.d4.loss_cls: 1.2503, decode.d4.loss_mask: 0.8987, decode.d4.loss_dice: 1.4299, decode.d5.loss_cls: 1.2537, decode.d5.loss_mask: 0.8991, decode.d5.loss_dice: 1.4237, decode.d6.loss_cls: 1.2437, decode.d6.loss_mask: 0.8973, decode.d6.loss_dice: 1.4200, decode.d7.loss_cls: 1.2320, decode.d7.loss_mask: 0.9023, decode.d7.loss_dice: 1.4188, decode.d8.loss_cls: 1.2392, decode.d8.loss_mask: 0.8955, decode.d8.loss_dice: 1.4164, loss: 43.2774 2022-09-12 07:20:01,329 - mmseg - INFO - Iter [6250/80000] lr: 1.324e-06, eta: 1 day, 15:06:55, time: 1.867, data_time: 0.015, memory: 42763, decode.loss_cls: 1.2858, decode.loss_mask: 0.8849, decode.loss_dice: 1.4327, decode.d0.loss_cls: 8.1861, decode.d0.loss_mask: 0.8616, decode.d0.loss_dice: 1.7280, decode.d1.loss_cls: 1.4990, decode.d1.loss_mask: 0.8939, decode.d1.loss_dice: 1.5260, decode.d2.loss_cls: 1.3387, decode.d2.loss_mask: 0.8848, decode.d2.loss_dice: 1.4728, decode.d3.loss_cls: 1.3049, decode.d3.loss_mask: 0.8811, decode.d3.loss_dice: 1.4474, decode.d4.loss_cls: 1.2915, decode.d4.loss_mask: 0.8812, decode.d4.loss_dice: 1.4418, decode.d5.loss_cls: 1.2902, decode.d5.loss_mask: 0.8751, decode.d5.loss_dice: 1.4289, decode.d6.loss_cls: 1.2840, decode.d6.loss_mask: 0.8770, decode.d6.loss_dice: 1.4234, decode.d7.loss_cls: 1.2781, decode.d7.loss_mask: 0.8805, decode.d7.loss_dice: 1.4317, decode.d8.loss_cls: 1.2730, decode.d8.loss_mask: 0.8822, decode.d8.loss_dice: 1.4272, loss: 43.5934 2022-09-12 07:21:34,766 - mmseg - INFO - Iter [6300/80000] lr: 1.323e-06, eta: 1 day, 15:04:55, time: 1.869, data_time: 0.015, memory: 42763, decode.loss_cls: 1.2208, decode.loss_mask: 0.8546, decode.loss_dice: 1.4172, decode.d0.loss_cls: 8.1465, decode.d0.loss_mask: 0.8324, decode.d0.loss_dice: 1.7033, decode.d1.loss_cls: 1.4220, decode.d1.loss_mask: 0.8763, decode.d1.loss_dice: 1.4974, decode.d2.loss_cls: 1.2704, decode.d2.loss_mask: 0.8628, decode.d2.loss_dice: 1.4489, decode.d3.loss_cls: 1.2319, decode.d3.loss_mask: 0.8666, decode.d3.loss_dice: 1.4274, decode.d4.loss_cls: 1.2153, decode.d4.loss_mask: 0.8635, decode.d4.loss_dice: 1.4327, decode.d5.loss_cls: 1.2109, decode.d5.loss_mask: 0.8588, decode.d5.loss_dice: 1.4281, decode.d6.loss_cls: 1.2148, decode.d6.loss_mask: 0.8606, decode.d6.loss_dice: 1.4110, decode.d7.loss_cls: 1.2095, decode.d7.loss_mask: 0.8604, decode.d7.loss_dice: 1.4182, decode.d8.loss_cls: 1.2141, decode.d8.loss_mask: 0.8522, decode.d8.loss_dice: 1.4144, loss: 42.5429 2022-09-12 07:23:09,091 - mmseg - INFO - Iter [6350/80000] lr: 1.322e-06, eta: 1 day, 15:03:07, time: 1.886, data_time: 0.017, memory: 42763, decode.loss_cls: 1.1923, decode.loss_mask: 0.8875, decode.loss_dice: 1.4022, decode.d0.loss_cls: 8.1120, decode.d0.loss_mask: 0.8610, decode.d0.loss_dice: 1.6753, decode.d1.loss_cls: 1.3981, decode.d1.loss_mask: 0.8956, decode.d1.loss_dice: 1.4838, decode.d2.loss_cls: 1.2418, decode.d2.loss_mask: 0.8940, decode.d2.loss_dice: 1.4272, decode.d3.loss_cls: 1.2017, decode.d3.loss_mask: 0.8943, decode.d3.loss_dice: 1.4083, decode.d4.loss_cls: 1.1878, decode.d4.loss_mask: 0.8915, decode.d4.loss_dice: 1.4074, decode.d5.loss_cls: 1.1833, decode.d5.loss_mask: 0.8801, decode.d5.loss_dice: 1.3982, decode.d6.loss_cls: 1.1883, decode.d6.loss_mask: 0.8763, decode.d6.loss_dice: 1.3907, decode.d7.loss_cls: 1.1774, decode.d7.loss_mask: 0.8922, decode.d7.loss_dice: 1.4071, decode.d8.loss_cls: 1.1776, decode.d8.loss_mask: 0.8928, decode.d8.loss_dice: 1.4002, loss: 42.3260 2022-09-12 07:24:43,854 - mmseg - INFO - Iter [6400/80000] lr: 1.321e-06, eta: 1 day, 15:01:24, time: 1.896, data_time: 0.016, memory: 42763, decode.loss_cls: 1.2072, decode.loss_mask: 0.8785, decode.loss_dice: 1.4435, decode.d0.loss_cls: 8.0797, decode.d0.loss_mask: 0.8553, decode.d0.loss_dice: 1.7057, decode.d1.loss_cls: 1.4097, decode.d1.loss_mask: 0.8875, decode.d1.loss_dice: 1.4990, decode.d2.loss_cls: 1.2583, decode.d2.loss_mask: 0.8890, decode.d2.loss_dice: 1.4522, decode.d3.loss_cls: 1.2291, decode.d3.loss_mask: 0.8833, decode.d3.loss_dice: 1.4398, decode.d4.loss_cls: 1.2144, decode.d4.loss_mask: 0.8827, decode.d4.loss_dice: 1.4460, decode.d5.loss_cls: 1.2030, decode.d5.loss_mask: 0.8803, decode.d5.loss_dice: 1.4301, decode.d6.loss_cls: 1.2059, decode.d6.loss_mask: 0.8745, decode.d6.loss_dice: 1.4319, decode.d7.loss_cls: 1.2029, decode.d7.loss_mask: 0.8782, decode.d7.loss_dice: 1.4377, decode.d8.loss_cls: 1.1979, decode.d8.loss_mask: 0.8810, decode.d8.loss_dice: 1.4310, loss: 42.7152 2022-09-12 07:26:17,847 - mmseg - INFO - Iter [6450/80000] lr: 1.320e-06, eta: 1 day, 14:59:32, time: 1.880, data_time: 0.019, memory: 42763, decode.loss_cls: 1.2377, decode.loss_mask: 0.8933, decode.loss_dice: 1.4559, decode.d0.loss_cls: 8.0643, decode.d0.loss_mask: 0.8683, decode.d0.loss_dice: 1.7395, decode.d1.loss_cls: 1.4188, decode.d1.loss_mask: 0.9103, decode.d1.loss_dice: 1.5361, decode.d2.loss_cls: 1.2790, decode.d2.loss_mask: 0.9006, decode.d2.loss_dice: 1.4800, decode.d3.loss_cls: 1.2442, decode.d3.loss_mask: 0.8988, decode.d3.loss_dice: 1.4587, decode.d4.loss_cls: 1.2300, decode.d4.loss_mask: 0.9006, decode.d4.loss_dice: 1.4600, decode.d5.loss_cls: 1.2330, decode.d5.loss_mask: 0.8945, decode.d5.loss_dice: 1.4631, decode.d6.loss_cls: 1.2270, decode.d6.loss_mask: 0.8994, decode.d6.loss_dice: 1.4533, decode.d7.loss_cls: 1.2222, decode.d7.loss_mask: 0.9036, decode.d7.loss_dice: 1.4543, decode.d8.loss_cls: 1.2211, decode.d8.loss_mask: 0.8975, decode.d8.loss_dice: 1.4535, loss: 43.2985 2022-09-12 07:27:51,885 - mmseg - INFO - Iter [6500/80000] lr: 1.319e-06, eta: 1 day, 14:57:41, time: 1.881, data_time: 0.015, memory: 42763, decode.loss_cls: 1.2216, decode.loss_mask: 0.8907, decode.loss_dice: 1.4180, decode.d0.loss_cls: 8.0231, decode.d0.loss_mask: 0.8646, decode.d0.loss_dice: 1.6801, decode.d1.loss_cls: 1.4052, decode.d1.loss_mask: 0.8977, decode.d1.loss_dice: 1.4809, decode.d2.loss_cls: 1.2604, decode.d2.loss_mask: 0.8967, decode.d2.loss_dice: 1.4353, decode.d3.loss_cls: 1.2305, decode.d3.loss_mask: 0.8937, decode.d3.loss_dice: 1.4097, decode.d4.loss_cls: 1.2147, decode.d4.loss_mask: 0.8914, decode.d4.loss_dice: 1.4232, decode.d5.loss_cls: 1.2147, decode.d5.loss_mask: 0.8915, decode.d5.loss_dice: 1.4111, decode.d6.loss_cls: 1.2120, decode.d6.loss_mask: 0.8929, decode.d6.loss_dice: 1.4089, decode.d7.loss_cls: 1.2113, decode.d7.loss_mask: 0.8894, decode.d7.loss_dice: 1.4069, decode.d8.loss_cls: 1.2198, decode.d8.loss_mask: 0.8858, decode.d8.loss_dice: 1.4078, loss: 42.5898 2022-09-12 07:29:25,040 - mmseg - INFO - Iter [6550/80000] lr: 1.318e-06, eta: 1 day, 14:55:40, time: 1.863, data_time: 0.016, memory: 42763, decode.loss_cls: 1.2199, decode.loss_mask: 0.8755, decode.loss_dice: 1.4256, decode.d0.loss_cls: 8.0157, decode.d0.loss_mask: 0.8539, decode.d0.loss_dice: 1.6941, decode.d1.loss_cls: 1.4184, decode.d1.loss_mask: 0.8836, decode.d1.loss_dice: 1.4951, decode.d2.loss_cls: 1.2578, decode.d2.loss_mask: 0.8786, decode.d2.loss_dice: 1.4422, decode.d3.loss_cls: 1.2387, decode.d3.loss_mask: 0.8811, decode.d3.loss_dice: 1.4246, decode.d4.loss_cls: 1.2268, decode.d4.loss_mask: 0.8761, decode.d4.loss_dice: 1.4214, decode.d5.loss_cls: 1.2229, decode.d5.loss_mask: 0.8729, decode.d5.loss_dice: 1.4145, decode.d6.loss_cls: 1.2136, decode.d6.loss_mask: 0.8761, decode.d6.loss_dice: 1.4101, decode.d7.loss_cls: 1.2129, decode.d7.loss_mask: 0.8790, decode.d7.loss_dice: 1.4117, decode.d8.loss_cls: 1.2108, decode.d8.loss_mask: 0.8787, decode.d8.loss_dice: 1.4175, loss: 42.5501 2022-09-12 07:30:58,432 - mmseg - INFO - Iter [6600/80000] lr: 1.317e-06, eta: 1 day, 14:53:42, time: 1.868, data_time: 0.016, memory: 42763, decode.loss_cls: 1.1935, decode.loss_mask: 0.8815, decode.loss_dice: 1.4243, decode.d0.loss_cls: 7.9672, decode.d0.loss_mask: 0.8492, decode.d0.loss_dice: 1.6927, decode.d1.loss_cls: 1.3857, decode.d1.loss_mask: 0.8928, decode.d1.loss_dice: 1.4892, decode.d2.loss_cls: 1.2294, decode.d2.loss_mask: 0.8880, decode.d2.loss_dice: 1.4416, decode.d3.loss_cls: 1.2144, decode.d3.loss_mask: 0.8810, decode.d3.loss_dice: 1.4280, decode.d4.loss_cls: 1.1986, decode.d4.loss_mask: 0.8821, decode.d4.loss_dice: 1.4290, decode.d5.loss_cls: 1.1931, decode.d5.loss_mask: 0.8740, decode.d5.loss_dice: 1.4137, decode.d6.loss_cls: 1.1847, decode.d6.loss_mask: 0.8829, decode.d6.loss_dice: 1.4157, decode.d7.loss_cls: 1.1812, decode.d7.loss_mask: 0.8881, decode.d7.loss_dice: 1.4146, decode.d8.loss_cls: 1.1795, decode.d8.loss_mask: 0.8864, decode.d8.loss_dice: 1.4255, loss: 42.3074 2022-09-12 07:32:32,247 - mmseg - INFO - Iter [6650/80000] lr: 1.316e-06, eta: 1 day, 14:51:49, time: 1.876, data_time: 0.017, memory: 42763, decode.loss_cls: 1.1976, decode.loss_mask: 0.8798, decode.loss_dice: 1.4346, decode.d0.loss_cls: 7.9341, decode.d0.loss_mask: 0.8436, decode.d0.loss_dice: 1.6862, decode.d1.loss_cls: 1.3753, decode.d1.loss_mask: 0.8865, decode.d1.loss_dice: 1.4861, decode.d2.loss_cls: 1.2447, decode.d2.loss_mask: 0.8760, decode.d2.loss_dice: 1.4395, decode.d3.loss_cls: 1.2212, decode.d3.loss_mask: 0.8729, decode.d3.loss_dice: 1.4271, decode.d4.loss_cls: 1.2085, decode.d4.loss_mask: 0.8718, decode.d4.loss_dice: 1.4252, decode.d5.loss_cls: 1.1988, decode.d5.loss_mask: 0.8719, decode.d5.loss_dice: 1.4224, decode.d6.loss_cls: 1.1936, decode.d6.loss_mask: 0.8740, decode.d6.loss_dice: 1.4145, decode.d7.loss_cls: 1.1957, decode.d7.loss_mask: 0.8770, decode.d7.loss_dice: 1.4292, decode.d8.loss_cls: 1.1872, decode.d8.loss_mask: 0.8815, decode.d8.loss_dice: 1.4249, loss: 42.2811 2022-09-12 07:34:05,587 - mmseg - INFO - Iter [6700/80000] lr: 1.316e-06, eta: 1 day, 14:49:52, time: 1.867, data_time: 0.015, memory: 42763, decode.loss_cls: 1.1156, decode.loss_mask: 0.8952, decode.loss_dice: 1.3762, decode.d0.loss_cls: 7.8811, decode.d0.loss_mask: 0.8628, decode.d0.loss_dice: 1.6273, decode.d1.loss_cls: 1.3146, decode.d1.loss_mask: 0.9056, decode.d1.loss_dice: 1.4556, decode.d2.loss_cls: 1.1628, decode.d2.loss_mask: 0.8995, decode.d2.loss_dice: 1.4097, decode.d3.loss_cls: 1.1315, decode.d3.loss_mask: 0.8950, decode.d3.loss_dice: 1.3878, decode.d4.loss_cls: 1.1201, decode.d4.loss_mask: 0.8964, decode.d4.loss_dice: 1.3940, decode.d5.loss_cls: 1.1032, decode.d5.loss_mask: 0.8955, decode.d5.loss_dice: 1.3882, decode.d6.loss_cls: 1.0973, decode.d6.loss_mask: 0.9006, decode.d6.loss_dice: 1.3789, decode.d7.loss_cls: 1.0980, decode.d7.loss_mask: 0.8962, decode.d7.loss_dice: 1.3698, decode.d8.loss_cls: 1.1014, decode.d8.loss_mask: 0.8912, decode.d8.loss_dice: 1.3625, loss: 41.2138 2022-09-12 07:35:39,842 - mmseg - INFO - Iter [6750/80000] lr: 1.315e-06, eta: 1 day, 14:48:05, time: 1.885, data_time: 0.015, memory: 42763, decode.loss_cls: 1.1723, decode.loss_mask: 0.8920, decode.loss_dice: 1.4265, decode.d0.loss_cls: 7.8649, decode.d0.loss_mask: 0.8517, decode.d0.loss_dice: 1.6865, decode.d1.loss_cls: 1.3448, decode.d1.loss_mask: 0.9039, decode.d1.loss_dice: 1.4987, decode.d2.loss_cls: 1.2061, decode.d2.loss_mask: 0.8967, decode.d2.loss_dice: 1.4492, decode.d3.loss_cls: 1.1861, decode.d3.loss_mask: 0.8951, decode.d3.loss_dice: 1.4354, decode.d4.loss_cls: 1.1730, decode.d4.loss_mask: 0.8904, decode.d4.loss_dice: 1.4376, decode.d5.loss_cls: 1.1655, decode.d5.loss_mask: 0.8879, decode.d5.loss_dice: 1.4290, decode.d6.loss_cls: 1.1609, decode.d6.loss_mask: 0.8899, decode.d6.loss_dice: 1.4302, decode.d7.loss_cls: 1.1630, decode.d7.loss_mask: 0.8921, decode.d7.loss_dice: 1.4331, decode.d8.loss_cls: 1.1576, decode.d8.loss_mask: 0.8903, decode.d8.loss_dice: 1.4322, loss: 42.1424 2022-09-12 07:37:14,215 - mmseg - INFO - Iter [6800/80000] lr: 1.314e-06, eta: 1 day, 14:46:19, time: 1.887, data_time: 0.016, memory: 42763, decode.loss_cls: 1.1634, decode.loss_mask: 0.8848, decode.loss_dice: 1.4249, decode.d0.loss_cls: 7.8276, decode.d0.loss_mask: 0.8599, decode.d0.loss_dice: 1.6812, decode.d1.loss_cls: 1.3474, decode.d1.loss_mask: 0.8894, decode.d1.loss_dice: 1.5031, decode.d2.loss_cls: 1.2105, decode.d2.loss_mask: 0.8899, decode.d2.loss_dice: 1.4436, decode.d3.loss_cls: 1.1781, decode.d3.loss_mask: 0.8831, decode.d3.loss_dice: 1.4353, decode.d4.loss_cls: 1.1634, decode.d4.loss_mask: 0.8880, decode.d4.loss_dice: 1.4299, decode.d5.loss_cls: 1.1477, decode.d5.loss_mask: 0.8956, decode.d5.loss_dice: 1.4243, decode.d6.loss_cls: 1.1491, decode.d6.loss_mask: 0.8901, decode.d6.loss_dice: 1.4199, decode.d7.loss_cls: 1.1543, decode.d7.loss_mask: 0.8842, decode.d7.loss_dice: 1.4142, decode.d8.loss_cls: 1.1515, decode.d8.loss_mask: 0.8842, decode.d8.loss_dice: 1.4117, loss: 41.9300 2022-09-12 07:38:47,951 - mmseg - INFO - Iter [6850/80000] lr: 1.313e-06, eta: 1 day, 14:44:26, time: 1.875, data_time: 0.018, memory: 42763, decode.loss_cls: 1.1924, decode.loss_mask: 0.8743, decode.loss_dice: 1.4437, decode.d0.loss_cls: 7.8243, decode.d0.loss_mask: 0.8401, decode.d0.loss_dice: 1.7069, decode.d1.loss_cls: 1.3939, decode.d1.loss_mask: 0.8826, decode.d1.loss_dice: 1.5102, decode.d2.loss_cls: 1.2568, decode.d2.loss_mask: 0.8757, decode.d2.loss_dice: 1.4660, decode.d3.loss_cls: 1.2222, decode.d3.loss_mask: 0.8725, decode.d3.loss_dice: 1.4457, decode.d4.loss_cls: 1.2054, decode.d4.loss_mask: 0.8746, decode.d4.loss_dice: 1.4541, decode.d5.loss_cls: 1.1967, decode.d5.loss_mask: 0.8666, decode.d5.loss_dice: 1.4398, decode.d6.loss_cls: 1.1902, decode.d6.loss_mask: 0.8739, decode.d6.loss_dice: 1.4282, decode.d7.loss_cls: 1.1838, decode.d7.loss_mask: 0.8732, decode.d7.loss_dice: 1.4411, decode.d8.loss_cls: 1.1870, decode.d8.loss_mask: 0.8728, decode.d8.loss_dice: 1.4425, loss: 42.3369 2022-09-12 07:40:21,560 - mmseg - INFO - Iter [6900/80000] lr: 1.312e-06, eta: 1 day, 14:42:33, time: 1.872, data_time: 0.015, memory: 42763, decode.loss_cls: 1.1631, decode.loss_mask: 0.9032, decode.loss_dice: 1.4379, decode.d0.loss_cls: 7.7801, decode.d0.loss_mask: 0.8696, decode.d0.loss_dice: 1.7103, decode.d1.loss_cls: 1.3574, decode.d1.loss_mask: 0.9062, decode.d1.loss_dice: 1.5209, decode.d2.loss_cls: 1.2082, decode.d2.loss_mask: 0.8955, decode.d2.loss_dice: 1.4622, decode.d3.loss_cls: 1.1810, decode.d3.loss_mask: 0.8985, decode.d3.loss_dice: 1.4450, decode.d4.loss_cls: 1.1598, decode.d4.loss_mask: 0.8969, decode.d4.loss_dice: 1.4463, decode.d5.loss_cls: 1.1533, decode.d5.loss_mask: 0.9005, decode.d5.loss_dice: 1.4330, decode.d6.loss_cls: 1.1485, decode.d6.loss_mask: 0.8991, decode.d6.loss_dice: 1.4251, decode.d7.loss_cls: 1.1473, decode.d7.loss_mask: 0.8920, decode.d7.loss_dice: 1.4294, decode.d8.loss_cls: 1.1458, decode.d8.loss_mask: 0.8989, decode.d8.loss_dice: 1.4370, loss: 42.1522 2022-09-12 07:41:56,109 - mmseg - INFO - Iter [6950/80000] lr: 1.311e-06, eta: 1 day, 14:40:49, time: 1.891, data_time: 0.016, memory: 42763, decode.loss_cls: 1.1823, decode.loss_mask: 0.8849, decode.loss_dice: 1.4090, decode.d0.loss_cls: 7.7497, decode.d0.loss_mask: 0.8615, decode.d0.loss_dice: 1.6820, decode.d1.loss_cls: 1.3743, decode.d1.loss_mask: 0.8979, decode.d1.loss_dice: 1.4966, decode.d2.loss_cls: 1.2373, decode.d2.loss_mask: 0.8963, decode.d2.loss_dice: 1.4367, decode.d3.loss_cls: 1.1985, decode.d3.loss_mask: 0.8903, decode.d3.loss_dice: 1.4199, decode.d4.loss_cls: 1.1895, decode.d4.loss_mask: 0.8831, decode.d4.loss_dice: 1.4119, decode.d5.loss_cls: 1.1830, decode.d5.loss_mask: 0.8833, decode.d5.loss_dice: 1.4080, decode.d6.loss_cls: 1.1797, decode.d6.loss_mask: 0.8862, decode.d6.loss_dice: 1.4040, decode.d7.loss_cls: 1.1714, decode.d7.loss_mask: 0.8848, decode.d7.loss_dice: 1.4097, decode.d8.loss_cls: 1.1653, decode.d8.loss_mask: 0.8838, decode.d8.loss_dice: 1.4025, loss: 41.9636 2022-09-12 07:43:28,380 - mmseg - INFO - Saving checkpoint at 7000 iterations 2022-09-12 07:43:57,810 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 07:43:57,817 - mmseg - INFO - Iter [7000/80000] lr: 1.310e-06, eta: 1 day, 14:43:48, time: 2.432, data_time: 0.016, memory: 42763, decode.loss_cls: 1.1809, decode.loss_mask: 0.8705, decode.loss_dice: 1.3609, decode.d0.loss_cls: 7.7149, decode.d0.loss_mask: 0.8450, decode.d0.loss_dice: 1.6346, decode.d1.loss_cls: 1.3512, decode.d1.loss_mask: 0.8811, decode.d1.loss_dice: 1.4271, decode.d2.loss_cls: 1.2200, decode.d2.loss_mask: 0.8732, decode.d2.loss_dice: 1.3900, decode.d3.loss_cls: 1.1902, decode.d3.loss_mask: 0.8704, decode.d3.loss_dice: 1.3741, decode.d4.loss_cls: 1.1746, decode.d4.loss_mask: 0.8694, decode.d4.loss_dice: 1.3642, decode.d5.loss_cls: 1.1703, decode.d5.loss_mask: 0.8651, decode.d5.loss_dice: 1.3542, decode.d6.loss_cls: 1.1687, decode.d6.loss_mask: 0.8695, decode.d6.loss_dice: 1.3595, decode.d7.loss_cls: 1.1649, decode.d7.loss_mask: 0.8733, decode.d7.loss_dice: 1.3619, decode.d8.loss_cls: 1.1711, decode.d8.loss_mask: 0.8762, decode.d8.loss_dice: 1.3613, loss: 41.1886 2022-09-12 07:45:31,791 - mmseg - INFO - Iter [7050/80000] lr: 1.309e-06, eta: 1 day, 14:41:57, time: 1.881, data_time: 0.016, memory: 42763, decode.loss_cls: 1.1598, decode.loss_mask: 0.8823, decode.loss_dice: 1.3768, decode.d0.loss_cls: 7.6804, decode.d0.loss_mask: 0.8624, decode.d0.loss_dice: 1.6353, decode.d1.loss_cls: 1.3223, decode.d1.loss_mask: 0.9045, decode.d1.loss_dice: 1.4395, decode.d2.loss_cls: 1.2026, decode.d2.loss_mask: 0.8930, decode.d2.loss_dice: 1.3910, decode.d3.loss_cls: 1.1727, decode.d3.loss_mask: 0.8902, decode.d3.loss_dice: 1.3750, decode.d4.loss_cls: 1.1657, decode.d4.loss_mask: 0.8908, decode.d4.loss_dice: 1.3764, decode.d5.loss_cls: 1.1598, decode.d5.loss_mask: 0.8881, decode.d5.loss_dice: 1.3705, decode.d6.loss_cls: 1.1546, decode.d6.loss_mask: 0.8785, decode.d6.loss_dice: 1.3705, decode.d7.loss_cls: 1.1471, decode.d7.loss_mask: 0.8864, decode.d7.loss_dice: 1.3672, decode.d8.loss_cls: 1.1505, decode.d8.loss_mask: 0.8844, decode.d8.loss_dice: 1.3689, loss: 41.2472 2022-09-12 07:47:04,009 - mmseg - INFO - Iter [7100/80000] lr: 1.308e-06, eta: 1 day, 14:39:49, time: 1.845, data_time: 0.015, memory: 42763, decode.loss_cls: 1.1831, decode.loss_mask: 0.8790, decode.loss_dice: 1.4313, decode.d0.loss_cls: 7.6673, decode.d0.loss_mask: 0.8519, decode.d0.loss_dice: 1.7036, decode.d1.loss_cls: 1.3605, decode.d1.loss_mask: 0.8859, decode.d1.loss_dice: 1.5007, decode.d2.loss_cls: 1.2165, decode.d2.loss_mask: 0.8804, decode.d2.loss_dice: 1.4516, decode.d3.loss_cls: 1.1948, decode.d3.loss_mask: 0.8770, decode.d3.loss_dice: 1.4315, decode.d4.loss_cls: 1.1889, decode.d4.loss_mask: 0.8802, decode.d4.loss_dice: 1.4316, decode.d5.loss_cls: 1.1823, decode.d5.loss_mask: 0.8792, decode.d5.loss_dice: 1.4223, decode.d6.loss_cls: 1.1815, decode.d6.loss_mask: 0.8731, decode.d6.loss_dice: 1.4199, decode.d7.loss_cls: 1.1718, decode.d7.loss_mask: 0.8792, decode.d7.loss_dice: 1.4277, decode.d8.loss_cls: 1.1719, decode.d8.loss_mask: 0.8798, decode.d8.loss_dice: 1.4294, loss: 41.9337 2022-09-12 07:48:37,515 - mmseg - INFO - Iter [7150/80000] lr: 1.307e-06, eta: 1 day, 14:37:53, time: 1.870, data_time: 0.016, memory: 42763, decode.loss_cls: 1.1688, decode.loss_mask: 0.9003, decode.loss_dice: 1.4013, decode.d0.loss_cls: 7.6324, decode.d0.loss_mask: 0.8616, decode.d0.loss_dice: 1.6711, decode.d1.loss_cls: 1.3475, decode.d1.loss_mask: 0.9058, decode.d1.loss_dice: 1.4756, decode.d2.loss_cls: 1.2075, decode.d2.loss_mask: 0.8959, decode.d2.loss_dice: 1.4226, decode.d3.loss_cls: 1.1858, decode.d3.loss_mask: 0.8947, decode.d3.loss_dice: 1.4041, decode.d4.loss_cls: 1.1707, decode.d4.loss_mask: 0.8943, decode.d4.loss_dice: 1.4041, decode.d5.loss_cls: 1.1642, decode.d5.loss_mask: 0.8963, decode.d5.loss_dice: 1.3995, decode.d6.loss_cls: 1.1659, decode.d6.loss_mask: 0.8921, decode.d6.loss_dice: 1.3988, decode.d7.loss_cls: 1.1525, decode.d7.loss_mask: 0.8977, decode.d7.loss_dice: 1.3964, decode.d8.loss_cls: 1.1528, decode.d8.loss_mask: 0.9000, decode.d8.loss_dice: 1.4083, loss: 41.6684 2022-09-12 07:50:11,044 - mmseg - INFO - Iter [7200/80000] lr: 1.307e-06, eta: 1 day, 14:35:58, time: 1.871, data_time: 0.016, memory: 42763, decode.loss_cls: 1.1960, decode.loss_mask: 0.8933, decode.loss_dice: 1.4418, decode.d0.loss_cls: 7.6083, decode.d0.loss_mask: 0.8656, decode.d0.loss_dice: 1.7058, decode.d1.loss_cls: 1.3649, decode.d1.loss_mask: 0.9050, decode.d1.loss_dice: 1.5180, decode.d2.loss_cls: 1.2283, decode.d2.loss_mask: 0.9015, decode.d2.loss_dice: 1.4662, decode.d3.loss_cls: 1.2048, decode.d3.loss_mask: 0.9027, decode.d3.loss_dice: 1.4543, decode.d4.loss_cls: 1.1991, decode.d4.loss_mask: 0.8979, decode.d4.loss_dice: 1.4540, decode.d5.loss_cls: 1.1909, decode.d5.loss_mask: 0.8955, decode.d5.loss_dice: 1.4476, decode.d6.loss_cls: 1.1897, decode.d6.loss_mask: 0.8892, decode.d6.loss_dice: 1.4431, decode.d7.loss_cls: 1.1915, decode.d7.loss_mask: 0.8930, decode.d7.loss_dice: 1.4417, decode.d8.loss_cls: 1.1878, decode.d8.loss_mask: 0.8940, decode.d8.loss_dice: 1.4405, loss: 42.3122 2022-09-12 07:51:44,194 - mmseg - INFO - Iter [7250/80000] lr: 1.306e-06, eta: 1 day, 14:34:00, time: 1.863, data_time: 0.015, memory: 42763, decode.loss_cls: 1.1320, decode.loss_mask: 0.8944, decode.loss_dice: 1.3725, decode.d0.loss_cls: 7.5421, decode.d0.loss_mask: 0.8663, decode.d0.loss_dice: 1.6215, decode.d1.loss_cls: 1.2985, decode.d1.loss_mask: 0.9132, decode.d1.loss_dice: 1.4414, decode.d2.loss_cls: 1.1634, decode.d2.loss_mask: 0.9012, decode.d2.loss_dice: 1.3980, decode.d3.loss_cls: 1.1348, decode.d3.loss_mask: 0.8989, decode.d3.loss_dice: 1.3802, decode.d4.loss_cls: 1.1246, decode.d4.loss_mask: 0.8971, decode.d4.loss_dice: 1.3846, decode.d5.loss_cls: 1.1209, decode.d5.loss_mask: 0.9011, decode.d5.loss_dice: 1.3708, decode.d6.loss_cls: 1.1252, decode.d6.loss_mask: 0.8933, decode.d6.loss_dice: 1.3653, decode.d7.loss_cls: 1.1226, decode.d7.loss_mask: 0.8933, decode.d7.loss_dice: 1.3711, decode.d8.loss_cls: 1.1202, decode.d8.loss_mask: 0.8972, decode.d8.loss_dice: 1.3588, loss: 40.9044 2022-09-12 07:53:18,734 - mmseg - INFO - Iter [7300/80000] lr: 1.305e-06, eta: 1 day, 14:32:16, time: 1.891, data_time: 0.017, memory: 42763, decode.loss_cls: 1.1488, decode.loss_mask: 0.8867, decode.loss_dice: 1.3951, decode.d0.loss_cls: 7.5258, decode.d0.loss_mask: 0.8580, decode.d0.loss_dice: 1.6509, decode.d1.loss_cls: 1.3189, decode.d1.loss_mask: 0.8944, decode.d1.loss_dice: 1.4673, decode.d2.loss_cls: 1.1805, decode.d2.loss_mask: 0.8830, decode.d2.loss_dice: 1.4209, decode.d3.loss_cls: 1.1572, decode.d3.loss_mask: 0.8869, decode.d3.loss_dice: 1.4059, decode.d4.loss_cls: 1.1428, decode.d4.loss_mask: 0.8960, decode.d4.loss_dice: 1.4157, decode.d5.loss_cls: 1.1370, decode.d5.loss_mask: 0.8873, decode.d5.loss_dice: 1.4024, decode.d6.loss_cls: 1.1338, decode.d6.loss_mask: 0.8846, decode.d6.loss_dice: 1.3906, decode.d7.loss_cls: 1.1320, decode.d7.loss_mask: 0.8880, decode.d7.loss_dice: 1.3959, decode.d8.loss_cls: 1.1355, decode.d8.loss_mask: 0.8891, decode.d8.loss_dice: 1.3978, loss: 41.2090 2022-09-12 07:54:55,858 - mmseg - INFO - Iter [7350/80000] lr: 1.304e-06, eta: 1 day, 14:30:57, time: 1.942, data_time: 0.016, memory: 42763, decode.loss_cls: 1.2092, decode.loss_mask: 0.8945, decode.loss_dice: 1.4106, decode.d0.loss_cls: 7.5116, decode.d0.loss_mask: 0.8605, decode.d0.loss_dice: 1.6750, decode.d1.loss_cls: 1.3689, decode.d1.loss_mask: 0.9117, decode.d1.loss_dice: 1.4848, decode.d2.loss_cls: 1.2390, decode.d2.loss_mask: 0.9037, decode.d2.loss_dice: 1.4371, decode.d3.loss_cls: 1.2168, decode.d3.loss_mask: 0.8954, decode.d3.loss_dice: 1.4191, decode.d4.loss_cls: 1.2099, decode.d4.loss_mask: 0.8875, decode.d4.loss_dice: 1.4195, decode.d5.loss_cls: 1.2094, decode.d5.loss_mask: 0.9001, decode.d5.loss_dice: 1.4074, decode.d6.loss_cls: 1.2096, decode.d6.loss_mask: 0.9040, decode.d6.loss_dice: 1.4037, decode.d7.loss_cls: 1.2019, decode.d7.loss_mask: 0.8992, decode.d7.loss_dice: 1.4069, decode.d8.loss_cls: 1.1988, decode.d8.loss_mask: 0.9005, decode.d8.loss_dice: 1.4005, loss: 41.9969 2022-09-12 07:56:32,953 - mmseg - INFO - Iter [7400/80000] lr: 1.303e-06, eta: 1 day, 14:29:38, time: 1.942, data_time: 0.063, memory: 42763, decode.loss_cls: 1.1481, decode.loss_mask: 0.8822, decode.loss_dice: 1.4041, decode.d0.loss_cls: 7.4654, decode.d0.loss_mask: 0.8456, decode.d0.loss_dice: 1.6548, decode.d1.loss_cls: 1.2901, decode.d1.loss_mask: 0.8969, decode.d1.loss_dice: 1.4789, decode.d2.loss_cls: 1.1699, decode.d2.loss_mask: 0.8892, decode.d2.loss_dice: 1.4310, decode.d3.loss_cls: 1.1496, decode.d3.loss_mask: 0.8902, decode.d3.loss_dice: 1.4028, decode.d4.loss_cls: 1.1437, decode.d4.loss_mask: 0.8885, decode.d4.loss_dice: 1.4139, decode.d5.loss_cls: 1.1402, decode.d5.loss_mask: 0.8852, decode.d5.loss_dice: 1.4091, decode.d6.loss_cls: 1.1313, decode.d6.loss_mask: 0.8866, decode.d6.loss_dice: 1.4019, decode.d7.loss_cls: 1.1296, decode.d7.loss_mask: 0.8837, decode.d7.loss_dice: 1.4077, decode.d8.loss_cls: 1.1281, decode.d8.loss_mask: 0.8832, decode.d8.loss_dice: 1.4113, loss: 41.1430 2022-09-12 07:58:06,165 - mmseg - INFO - Iter [7450/80000] lr: 1.302e-06, eta: 1 day, 14:27:41, time: 1.864, data_time: 0.015, memory: 42763, decode.loss_cls: 1.1522, decode.loss_mask: 0.8724, decode.loss_dice: 1.4010, decode.d0.loss_cls: 7.4230, decode.d0.loss_mask: 0.8495, decode.d0.loss_dice: 1.6594, decode.d1.loss_cls: 1.3063, decode.d1.loss_mask: 0.8901, decode.d1.loss_dice: 1.4771, decode.d2.loss_cls: 1.1850, decode.d2.loss_mask: 0.8801, decode.d2.loss_dice: 1.4264, decode.d3.loss_cls: 1.1592, decode.d3.loss_mask: 0.8757, decode.d3.loss_dice: 1.4096, decode.d4.loss_cls: 1.1510, decode.d4.loss_mask: 0.8727, decode.d4.loss_dice: 1.4069, decode.d5.loss_cls: 1.1394, decode.d5.loss_mask: 0.8739, decode.d5.loss_dice: 1.4005, decode.d6.loss_cls: 1.1379, decode.d6.loss_mask: 0.8775, decode.d6.loss_dice: 1.4003, decode.d7.loss_cls: 1.1408, decode.d7.loss_mask: 0.8743, decode.d7.loss_dice: 1.3901, decode.d8.loss_cls: 1.1363, decode.d8.loss_mask: 0.8777, decode.d8.loss_dice: 1.4069, loss: 41.0531 2022-09-12 07:59:39,697 - mmseg - INFO - Iter [7500/80000] lr: 1.301e-06, eta: 1 day, 14:25:47, time: 1.871, data_time: 0.016, memory: 42763, decode.loss_cls: 1.1204, decode.loss_mask: 0.8792, decode.loss_dice: 1.3695, decode.d0.loss_cls: 7.4036, decode.d0.loss_mask: 0.8524, decode.d0.loss_dice: 1.6171, decode.d1.loss_cls: 1.2737, decode.d1.loss_mask: 0.8948, decode.d1.loss_dice: 1.4243, decode.d2.loss_cls: 1.1482, decode.d2.loss_mask: 0.8808, decode.d2.loss_dice: 1.3750, decode.d3.loss_cls: 1.1253, decode.d3.loss_mask: 0.8871, decode.d3.loss_dice: 1.3597, decode.d4.loss_cls: 1.1297, decode.d4.loss_mask: 0.8808, decode.d4.loss_dice: 1.3754, decode.d5.loss_cls: 1.1166, decode.d5.loss_mask: 0.8791, decode.d5.loss_dice: 1.3671, decode.d6.loss_cls: 1.1218, decode.d6.loss_mask: 0.8752, decode.d6.loss_dice: 1.3577, decode.d7.loss_cls: 1.1166, decode.d7.loss_mask: 0.8761, decode.d7.loss_dice: 1.3618, decode.d8.loss_cls: 1.1089, decode.d8.loss_mask: 0.8799, decode.d8.loss_dice: 1.3688, loss: 40.4268 2022-09-12 08:01:12,482 - mmseg - INFO - Iter [7550/80000] lr: 1.300e-06, eta: 1 day, 14:23:46, time: 1.854, data_time: 0.015, memory: 42763, decode.loss_cls: 1.0975, decode.loss_mask: 0.8981, decode.loss_dice: 1.3693, decode.d0.loss_cls: 7.3522, decode.d0.loss_mask: 0.8581, decode.d0.loss_dice: 1.6160, decode.d1.loss_cls: 1.2697, decode.d1.loss_mask: 0.9091, decode.d1.loss_dice: 1.4517, decode.d2.loss_cls: 1.1411, decode.d2.loss_mask: 0.8940, decode.d2.loss_dice: 1.3936, decode.d3.loss_cls: 1.1226, decode.d3.loss_mask: 0.8921, decode.d3.loss_dice: 1.3724, decode.d4.loss_cls: 1.1117, decode.d4.loss_mask: 0.8981, decode.d4.loss_dice: 1.3704, decode.d5.loss_cls: 1.1132, decode.d5.loss_mask: 0.8865, decode.d5.loss_dice: 1.3687, decode.d6.loss_cls: 1.1007, decode.d6.loss_mask: 0.8890, decode.d6.loss_dice: 1.3636, decode.d7.loss_cls: 1.1023, decode.d7.loss_mask: 0.8851, decode.d7.loss_dice: 1.3727, decode.d8.loss_cls: 1.1008, decode.d8.loss_mask: 0.8956, decode.d8.loss_dice: 1.3656, loss: 40.4612 2022-09-12 08:02:45,631 - mmseg - INFO - Iter [7600/80000] lr: 1.299e-06, eta: 1 day, 14:21:50, time: 1.864, data_time: 0.018, memory: 42763, decode.loss_cls: 1.1202, decode.loss_mask: 0.8943, decode.loss_dice: 1.3867, decode.d0.loss_cls: 7.3315, decode.d0.loss_mask: 0.8698, decode.d0.loss_dice: 1.6403, decode.d1.loss_cls: 1.2754, decode.d1.loss_mask: 0.9040, decode.d1.loss_dice: 1.4477, decode.d2.loss_cls: 1.1566, decode.d2.loss_mask: 0.9004, decode.d2.loss_dice: 1.3978, decode.d3.loss_cls: 1.1413, decode.d3.loss_mask: 0.8992, decode.d3.loss_dice: 1.3857, decode.d4.loss_cls: 1.1233, decode.d4.loss_mask: 0.8961, decode.d4.loss_dice: 1.3891, decode.d5.loss_cls: 1.1209, decode.d5.loss_mask: 0.8929, decode.d5.loss_dice: 1.3805, decode.d6.loss_cls: 1.1240, decode.d6.loss_mask: 0.8904, decode.d6.loss_dice: 1.3801, decode.d7.loss_cls: 1.1205, decode.d7.loss_mask: 0.8845, decode.d7.loss_dice: 1.3945, decode.d8.loss_cls: 1.1195, decode.d8.loss_mask: 0.8889, decode.d8.loss_dice: 1.3752, loss: 40.7313 2022-09-12 08:04:18,678 - mmseg - INFO - Iter [7650/80000] lr: 1.299e-06, eta: 1 day, 14:19:52, time: 1.861, data_time: 0.016, memory: 42763, decode.loss_cls: 1.1409, decode.loss_mask: 0.8899, decode.loss_dice: 1.3997, decode.d0.loss_cls: 7.3096, decode.d0.loss_mask: 0.8723, decode.d0.loss_dice: 1.6634, decode.d1.loss_cls: 1.3065, decode.d1.loss_mask: 0.8959, decode.d1.loss_dice: 1.4858, decode.d2.loss_cls: 1.1787, decode.d2.loss_mask: 0.8884, decode.d2.loss_dice: 1.4342, decode.d3.loss_cls: 1.1588, decode.d3.loss_mask: 0.8824, decode.d3.loss_dice: 1.4073, decode.d4.loss_cls: 1.1451, decode.d4.loss_mask: 0.8894, decode.d4.loss_dice: 1.4158, decode.d5.loss_cls: 1.1412, decode.d5.loss_mask: 0.8804, decode.d5.loss_dice: 1.4016, decode.d6.loss_cls: 1.1382, decode.d6.loss_mask: 0.8772, decode.d6.loss_dice: 1.3883, decode.d7.loss_cls: 1.1327, decode.d7.loss_mask: 0.8827, decode.d7.loss_dice: 1.4079, decode.d8.loss_cls: 1.1330, decode.d8.loss_mask: 0.8815, decode.d8.loss_dice: 1.4076, loss: 41.0364 2022-09-12 08:05:52,416 - mmseg - INFO - Iter [7700/80000] lr: 1.298e-06, eta: 1 day, 14:18:02, time: 1.875, data_time: 0.015, memory: 42763, decode.loss_cls: 1.1199, decode.loss_mask: 0.8823, decode.loss_dice: 1.3950, decode.d0.loss_cls: 7.2708, decode.d0.loss_mask: 0.8588, decode.d0.loss_dice: 1.6408, decode.d1.loss_cls: 1.2700, decode.d1.loss_mask: 0.9036, decode.d1.loss_dice: 1.4587, decode.d2.loss_cls: 1.1573, decode.d2.loss_mask: 0.9001, decode.d2.loss_dice: 1.4140, decode.d3.loss_cls: 1.1430, decode.d3.loss_mask: 0.8930, decode.d3.loss_dice: 1.4007, decode.d4.loss_cls: 1.1287, decode.d4.loss_mask: 0.8915, decode.d4.loss_dice: 1.4025, decode.d5.loss_cls: 1.1291, decode.d5.loss_mask: 0.8818, decode.d5.loss_dice: 1.3988, decode.d6.loss_cls: 1.1281, decode.d6.loss_mask: 0.8812, decode.d6.loss_dice: 1.3820, decode.d7.loss_cls: 1.1182, decode.d7.loss_mask: 0.8818, decode.d7.loss_dice: 1.3922, decode.d8.loss_cls: 1.1124, decode.d8.loss_mask: 0.8802, decode.d8.loss_dice: 1.3908, loss: 40.7075 2022-09-12 08:07:26,375 - mmseg - INFO - Iter [7750/80000] lr: 1.297e-06, eta: 1 day, 14:16:13, time: 1.879, data_time: 0.016, memory: 42763, decode.loss_cls: 1.1400, decode.loss_mask: 0.8742, decode.loss_dice: 1.3897, decode.d0.loss_cls: 7.2613, decode.d0.loss_mask: 0.8446, decode.d0.loss_dice: 1.6599, decode.d1.loss_cls: 1.2803, decode.d1.loss_mask: 0.8885, decode.d1.loss_dice: 1.4689, decode.d2.loss_cls: 1.1631, decode.d2.loss_mask: 0.8733, decode.d2.loss_dice: 1.4228, decode.d3.loss_cls: 1.1477, decode.d3.loss_mask: 0.8766, decode.d3.loss_dice: 1.3921, decode.d4.loss_cls: 1.1363, decode.d4.loss_mask: 0.8739, decode.d4.loss_dice: 1.3946, decode.d5.loss_cls: 1.1372, decode.d5.loss_mask: 0.8696, decode.d5.loss_dice: 1.3889, decode.d6.loss_cls: 1.1309, decode.d6.loss_mask: 0.8739, decode.d6.loss_dice: 1.3833, decode.d7.loss_cls: 1.1293, decode.d7.loss_mask: 0.8795, decode.d7.loss_dice: 1.3838, decode.d8.loss_cls: 1.1254, decode.d8.loss_mask: 0.8704, decode.d8.loss_dice: 1.3862, loss: 40.6461 2022-09-12 08:08:59,006 - mmseg - INFO - Iter [7800/80000] lr: 1.296e-06, eta: 1 day, 14:14:13, time: 1.852, data_time: 0.015, memory: 42763, decode.loss_cls: 1.1499, decode.loss_mask: 0.8869, decode.loss_dice: 1.3908, decode.d0.loss_cls: 7.2119, decode.d0.loss_mask: 0.8551, decode.d0.loss_dice: 1.6488, decode.d1.loss_cls: 1.3025, decode.d1.loss_mask: 0.8936, decode.d1.loss_dice: 1.4689, decode.d2.loss_cls: 1.1860, decode.d2.loss_mask: 0.8864, decode.d2.loss_dice: 1.4127, decode.d3.loss_cls: 1.1643, decode.d3.loss_mask: 0.8895, decode.d3.loss_dice: 1.3947, decode.d4.loss_cls: 1.1646, decode.d4.loss_mask: 0.8822, decode.d4.loss_dice: 1.4057, decode.d5.loss_cls: 1.1557, decode.d5.loss_mask: 0.8821, decode.d5.loss_dice: 1.3975, decode.d6.loss_cls: 1.1513, decode.d6.loss_mask: 0.8759, decode.d6.loss_dice: 1.3848, decode.d7.loss_cls: 1.1439, decode.d7.loss_mask: 0.8743, decode.d7.loss_dice: 1.3921, decode.d8.loss_cls: 1.1459, decode.d8.loss_mask: 0.8765, decode.d8.loss_dice: 1.3978, loss: 40.8723 2022-09-12 08:10:32,998 - mmseg - INFO - Iter [7850/80000] lr: 1.295e-06, eta: 1 day, 14:12:25, time: 1.880, data_time: 0.015, memory: 42763, decode.loss_cls: 1.1316, decode.loss_mask: 0.8739, decode.loss_dice: 1.3962, decode.d0.loss_cls: 7.1815, decode.d0.loss_mask: 0.8455, decode.d0.loss_dice: 1.6420, decode.d1.loss_cls: 1.2827, decode.d1.loss_mask: 0.8966, decode.d1.loss_dice: 1.4742, decode.d2.loss_cls: 1.1557, decode.d2.loss_mask: 0.8798, decode.d2.loss_dice: 1.4234, decode.d3.loss_cls: 1.1292, decode.d3.loss_mask: 0.8839, decode.d3.loss_dice: 1.4037, decode.d4.loss_cls: 1.1240, decode.d4.loss_mask: 0.8744, decode.d4.loss_dice: 1.4026, decode.d5.loss_cls: 1.1192, decode.d5.loss_mask: 0.8786, decode.d5.loss_dice: 1.4009, decode.d6.loss_cls: 1.1213, decode.d6.loss_mask: 0.8789, decode.d6.loss_dice: 1.3923, decode.d7.loss_cls: 1.1247, decode.d7.loss_mask: 0.8780, decode.d7.loss_dice: 1.3919, decode.d8.loss_cls: 1.1263, decode.d8.loss_mask: 0.8711, decode.d8.loss_dice: 1.3992, loss: 40.5833 2022-09-12 08:12:06,844 - mmseg - INFO - Iter [7900/80000] lr: 1.294e-06, eta: 1 day, 14:10:36, time: 1.876, data_time: 0.016, memory: 42763, decode.loss_cls: 1.1172, decode.loss_mask: 0.8919, decode.loss_dice: 1.3859, decode.d0.loss_cls: 7.1582, decode.d0.loss_mask: 0.8493, decode.d0.loss_dice: 1.6440, decode.d1.loss_cls: 1.2893, decode.d1.loss_mask: 0.8931, decode.d1.loss_dice: 1.4628, decode.d2.loss_cls: 1.1673, decode.d2.loss_mask: 0.8828, decode.d2.loss_dice: 1.4151, decode.d3.loss_cls: 1.1478, decode.d3.loss_mask: 0.8764, decode.d3.loss_dice: 1.3942, decode.d4.loss_cls: 1.1260, decode.d4.loss_mask: 0.8825, decode.d4.loss_dice: 1.3967, decode.d5.loss_cls: 1.1271, decode.d5.loss_mask: 0.8760, decode.d5.loss_dice: 1.3876, decode.d6.loss_cls: 1.1229, decode.d6.loss_mask: 0.8749, decode.d6.loss_dice: 1.3926, decode.d7.loss_cls: 1.1182, decode.d7.loss_mask: 0.8854, decode.d7.loss_dice: 1.3988, decode.d8.loss_cls: 1.1134, decode.d8.loss_mask: 0.8883, decode.d8.loss_dice: 1.3870, loss: 40.5525 2022-09-12 08:13:40,190 - mmseg - INFO - Iter [7950/80000] lr: 1.293e-06, eta: 1 day, 14:08:44, time: 1.867, data_time: 0.016, memory: 42763, decode.loss_cls: 1.1104, decode.loss_mask: 0.8577, decode.loss_dice: 1.3558, decode.d0.loss_cls: 7.1244, decode.d0.loss_mask: 0.8367, decode.d0.loss_dice: 1.6303, decode.d1.loss_cls: 1.2616, decode.d1.loss_mask: 0.8701, decode.d1.loss_dice: 1.4309, decode.d2.loss_cls: 1.1465, decode.d2.loss_mask: 0.8590, decode.d2.loss_dice: 1.3754, decode.d3.loss_cls: 1.1252, decode.d3.loss_mask: 0.8564, decode.d3.loss_dice: 1.3579, decode.d4.loss_cls: 1.1230, decode.d4.loss_mask: 0.8567, decode.d4.loss_dice: 1.3657, decode.d5.loss_cls: 1.1065, decode.d5.loss_mask: 0.8607, decode.d5.loss_dice: 1.3612, decode.d6.loss_cls: 1.1102, decode.d6.loss_mask: 0.8540, decode.d6.loss_dice: 1.3569, decode.d7.loss_cls: 1.0964, decode.d7.loss_mask: 0.8569, decode.d7.loss_dice: 1.3592, decode.d8.loss_cls: 1.0933, decode.d8.loss_mask: 0.8594, decode.d8.loss_dice: 1.3623, loss: 39.8207 2022-09-12 08:15:13,345 - mmseg - INFO - Saving checkpoint at 8000 iterations 2022-09-12 08:15:45,136 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 08:15:45,136 - mmseg - INFO - Iter [8000/80000] lr: 1.292e-06, eta: 1 day, 14:11:35, time: 2.499, data_time: 0.014, memory: 42763, decode.loss_cls: 1.1426, decode.loss_mask: 0.8655, decode.loss_dice: 1.3987, decode.d0.loss_cls: 7.0951, decode.d0.loss_mask: 0.8431, decode.d0.loss_dice: 1.6568, decode.d1.loss_cls: 1.2926, decode.d1.loss_mask: 0.8693, decode.d1.loss_dice: 1.4749, decode.d2.loss_cls: 1.1693, decode.d2.loss_mask: 0.8647, decode.d2.loss_dice: 1.4232, decode.d3.loss_cls: 1.1432, decode.d3.loss_mask: 0.8643, decode.d3.loss_dice: 1.3998, decode.d4.loss_cls: 1.1364, decode.d4.loss_mask: 0.8653, decode.d4.loss_dice: 1.4027, decode.d5.loss_cls: 1.1353, decode.d5.loss_mask: 0.8602, decode.d5.loss_dice: 1.3996, decode.d6.loss_cls: 1.1293, decode.d6.loss_mask: 0.8625, decode.d6.loss_dice: 1.3888, decode.d7.loss_cls: 1.1377, decode.d7.loss_mask: 0.8622, decode.d7.loss_dice: 1.3975, decode.d8.loss_cls: 1.1352, decode.d8.loss_mask: 0.8588, decode.d8.loss_dice: 1.3981, loss: 40.4729 2022-09-12 08:21:04,336 - mmseg - INFO - per class results: 2022-09-12 08:21:04,347 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 86.77 | 93.46 | | bicycle | 71.51 | 82.52 | | car | 66.45 | 80.87 | | motorcycle | 84.5 | 90.49 | | airplane | 83.12 | 90.4 | | bus | 82.93 | 88.93 | | train | 83.4 | 87.48 | | truck | 63.05 | 79.67 | | boat | 66.13 | 78.66 | | traffic light | 68.44 | 89.01 | | fire hydrant | 86.96 | 93.32 | | stop sign | 92.19 | 97.7 | | parking meter | 82.61 | 86.03 | | bench | 53.84 | 71.26 | | bird | 80.86 | 90.07 | | cat | 85.64 | 94.19 | | dog | 80.8 | 91.89 | | horse | 84.08 | 94.27 | | sheep | 87.66 | 96.14 | | cow | 87.45 | 93.0 | | elephant | 92.16 | 95.74 | | bear | 92.96 | 95.67 | | zebra | 90.05 | 93.69 | | giraffe | 87.18 | 93.78 | | backpack | 34.99 | 74.85 | | umbrella | 82.15 | 87.52 | | handbag | 34.86 | 59.9 | | tie | 3.66 | 4.26 | | suitcase | 82.89 | 91.48 | | frisbee | 82.28 | 89.29 | | skis | 48.77 | 80.42 | | snowboard | 71.67 | 80.05 | | sports ball | 49.42 | 66.93 | | kite | 64.8 | 73.36 | | baseball bat | 61.16 | 79.61 | | baseball glove | 74.82 | 90.58 | | skateboard | 83.5 | 91.41 | | surfboard | 81.01 | 91.53 | | tennis racket | 83.9 | 90.79 | | bottle | 53.85 | 75.93 | | wine glass | 59.44 | 83.63 | | cup | 59.2 | 78.38 | | fork | 41.04 | 64.03 | | knife | 39.17 | 74.42 | | spoon | 31.28 | 46.61 | | bowl | 45.31 | 60.98 | | banana | 69.0 | 94.35 | | apple | 55.43 | 72.52 | | sandwich | 33.26 | 35.32 | | orange | 71.59 | 88.54 | | broccoli | 60.76 | 87.01 | | carrot | 58.39 | 72.78 | | hot dog | 55.01 | 61.39 | | pizza | 52.24 | 58.65 | | donut | 53.17 | 58.71 | | cake | 61.41 | 66.96 | | chair | 51.21 | 74.92 | | couch | 60.66 | 79.48 | | potted plant | 28.05 | 39.18 | | bed | 64.4 | 79.12 | | dining table | 40.2 | 83.56 | | toilet | 83.62 | 88.53 | | tv | 71.73 | 80.75 | | laptop | 78.08 | 94.8 | | mouse | 69.19 | 87.63 | | remote | 64.71 | 71.46 | | keyboard | 65.38 | 75.78 | | cell phone | 68.75 | 91.84 | | microwave | 55.52 | 62.74 | | oven | 54.8 | 74.31 | | toaster | 0.0 | 0.0 | | sink | 63.59 | 79.61 | | refrigerator | 77.64 | 85.97 | | book | 50.64 | 65.92 | | clock | 74.12 | 82.9 | | vase | 58.93 | 82.67 | | scissors | 77.64 | 85.13 | | teddy bear | 81.51 | 94.7 | | hair drier | 0.0 | 0.0 | | toothbrush | 29.05 | 63.26 | | banner | 31.47 | 66.81 | | blanket | 1.55 | 1.56 | | branch | 20.35 | 23.16 | | bridge | 34.12 | 53.97 | | building-other | 51.08 | 64.11 | | bush | 32.97 | 46.05 | | cabinet | 55.36 | 80.02 | | cage | 5.96 | 6.53 | | cardboard | 40.75 | 51.32 | | carpet | 51.32 | 78.23 | | ceiling-other | 62.51 | 82.54 | | ceiling-tile | 0.0 | 0.0 | | cloth | 0.0 | 0.0 | | clothes | 13.4 | 18.01 | | clouds | 44.15 | 56.22 | | counter | 27.65 | 47.29 | | cupboard | 0.0 | 0.0 | | curtain | 65.55 | 82.87 | | desk-stuff | 39.33 | 52.35 | | dirt | 39.35 | 78.27 | | door-stuff | 38.48 | 74.15 | | fence | 36.02 | 66.83 | | floor-marble | 0.0 | 0.0 | | floor-other | 20.68 | 25.31 | | floor-stone | 0.0 | 0.0 | | floor-tile | 59.15 | 76.37 | | floor-wood | 62.82 | 82.84 | | flower | 44.66 | 74.88 | | fog | 0.07 | 0.07 | | food-other | 27.68 | 36.54 | | fruit | 18.6 | 21.6 | | furniture-other | 18.55 | 26.44 | | grass | 69.33 | 82.78 | | gravel | 18.25 | 20.93 | | ground-other | 0.33 | 0.33 | | hill | 13.87 | 16.05 | | house | 23.08 | 31.69 | | leaves | 17.51 | 23.44 | | light | 36.68 | 59.42 | | mat | 0.0 | 0.0 | | metal | 34.71 | 53.91 | | mirror-stuff | 45.48 | 57.88 | | moss | 0.0 | 0.0 | | mountain | 54.65 | 76.02 | | mud | 0.0 | 0.0 | | napkin | 0.0 | 0.0 | | net | 51.53 | 58.43 | | paper | 31.1 | 49.19 | | pavement | 49.4 | 68.38 | | pillow | 6.05 | 6.22 | | plant-other | 20.0 | 33.86 | | plastic | 16.69 | 21.09 | | platform | 22.86 | 29.97 | | playingfield | 65.36 | 79.99 | | railing | 0.47 | 0.5 | | railroad | 59.23 | 85.02 | | river | 29.2 | 35.03 | | road | 64.53 | 82.39 | | rock | 47.22 | 78.89 | | roof | 21.29 | 30.36 | | rug | 35.81 | 50.55 | | salad | 0.0 | 0.0 | | sand | 61.3 | 65.13 | | sea | 84.17 | 88.73 | | shelf | 31.51 | 39.24 | | sky-other | 70.36 | 88.52 | | skyscraper | 15.26 | 16.07 | | snow | 90.62 | 94.86 | | solid-other | 0.0 | 0.0 | | stairs | 27.72 | 45.83 | | stone | 0.24 | 0.25 | | straw | 3.41 | 3.42 | | structural-other | 0.0 | 0.0 | | table | 10.82 | 12.59 | | tent | 3.79 | 3.9 | | textile-other | 13.9 | 26.02 | | towel | 34.33 | 50.04 | | tree | 74.07 | 85.85 | | vegetable | 28.17 | 42.45 | | wall-brick | 46.84 | 63.34 | | wall-concrete | 59.21 | 82.37 | | wall-other | 19.97 | 30.94 | | wall-panel | 0.0 | 0.0 | | wall-stone | 27.79 | 34.61 | | wall-tile | 68.79 | 85.23 | | wall-wood | 36.32 | 55.68 | | water-other | 33.74 | 72.96 | | waterdrops | 0.0 | 0.0 | | window-blind | 43.64 | 49.88 | | window-other | 44.1 | 70.73 | | wood | 25.66 | 43.44 | +------------------+-------+-------+ 2022-09-12 08:21:04,347 - mmseg - INFO - Summary: 2022-09-12 08:21:04,347 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 70.74 | 46.1 | 58.27 | +-------+------+-------+ 2022-09-12 08:21:24,209 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_8000.pth. 2022-09-12 08:21:24,230 - mmseg - INFO - Best mIoU is 0.4610 at 8000 iter. 2022-09-12 08:21:24,260 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 08:21:24,261 - mmseg - INFO - Iter(val) [313] aAcc: 0.7074, mIoU: 0.4610, mAcc: 0.5827, IoU.person: 0.8677, IoU.bicycle: 0.7151, IoU.car: 0.6645, IoU.motorcycle: 0.8450, IoU.airplane: 0.8312, IoU.bus: 0.8293, IoU.train: 0.8340, IoU.truck: 0.6305, IoU.boat: 0.6613, IoU.traffic light: 0.6844, IoU.fire hydrant: 0.8696, IoU.stop sign: 0.9219, IoU.parking meter: 0.8261, IoU.bench: 0.5384, IoU.bird: 0.8086, IoU.cat: 0.8564, IoU.dog: 0.8080, IoU.horse: 0.8408, IoU.sheep: 0.8766, IoU.cow: 0.8745, IoU.elephant: 0.9216, IoU.bear: 0.9296, IoU.zebra: 0.9005, IoU.giraffe: 0.8718, IoU.backpack: 0.3499, IoU.umbrella: 0.8215, IoU.handbag: 0.3486, IoU.tie: 0.0366, IoU.suitcase: 0.8289, IoU.frisbee: 0.8228, IoU.skis: 0.4877, IoU.snowboard: 0.7167, IoU.sports ball: 0.4942, IoU.kite: 0.6480, IoU.baseball bat: 0.6116, IoU.baseball glove: 0.7482, IoU.skateboard: 0.8350, IoU.surfboard: 0.8101, IoU.tennis racket: 0.8390, IoU.bottle: 0.5385, IoU.wine glass: 0.5944, IoU.cup: 0.5920, IoU.fork: 0.4104, IoU.knife: 0.3917, IoU.spoon: 0.3128, IoU.bowl: 0.4531, IoU.banana: 0.6900, IoU.apple: 0.5543, IoU.sandwich: 0.3326, IoU.orange: 0.7159, IoU.broccoli: 0.6076, IoU.carrot: 0.5839, IoU.hot dog: 0.5501, IoU.pizza: 0.5224, IoU.donut: 0.5317, IoU.cake: 0.6141, IoU.chair: 0.5121, IoU.couch: 0.6066, IoU.potted plant: 0.2805, IoU.bed: 0.6440, IoU.dining table: 0.4020, IoU.toilet: 0.8362, IoU.tv: 0.7173, IoU.laptop: 0.7808, IoU.mouse: 0.6919, IoU.remote: 0.6471, IoU.keyboard: 0.6538, IoU.cell phone: 0.6875, IoU.microwave: 0.5552, IoU.oven: 0.5480, IoU.toaster: 0.0000, IoU.sink: 0.6359, IoU.refrigerator: 0.7764, IoU.book: 0.5064, IoU.clock: 0.7412, IoU.vase: 0.5893, IoU.scissors: 0.7764, IoU.teddy bear: 0.8151, IoU.hair drier: 0.0000, IoU.toothbrush: 0.2905, IoU.banner: 0.3147, IoU.blanket: 0.0155, IoU.branch: 0.2035, IoU.bridge: 0.3412, IoU.building-other: 0.5108, IoU.bush: 0.3297, IoU.cabinet: 0.5536, IoU.cage: 0.0596, IoU.cardboard: 0.4075, IoU.carpet: 0.5132, IoU.ceiling-other: 0.6251, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0000, IoU.clothes: 0.1340, IoU.clouds: 0.4415, IoU.counter: 0.2765, IoU.cupboard: 0.0000, IoU.curtain: 0.6555, IoU.desk-stuff: 0.3933, IoU.dirt: 0.3935, IoU.door-stuff: 0.3848, IoU.fence: 0.3602, IoU.floor-marble: 0.0000, IoU.floor-other: 0.2068, IoU.floor-stone: 0.0000, IoU.floor-tile: 0.5915, IoU.floor-wood: 0.6282, IoU.flower: 0.4466, IoU.fog: 0.0007, IoU.food-other: 0.2768, IoU.fruit: 0.1860, IoU.furniture-other: 0.1855, IoU.grass: 0.6933, IoU.gravel: 0.1825, IoU.ground-other: 0.0033, IoU.hill: 0.1387, IoU.house: 0.2308, IoU.leaves: 0.1751, IoU.light: 0.3668, IoU.mat: 0.0000, IoU.metal: 0.3471, IoU.mirror-stuff: 0.4548, IoU.moss: 0.0000, IoU.mountain: 0.5465, IoU.mud: 0.0000, IoU.napkin: 0.0000, IoU.net: 0.5153, IoU.paper: 0.3110, IoU.pavement: 0.4940, IoU.pillow: 0.0605, IoU.plant-other: 0.2000, IoU.plastic: 0.1669, IoU.platform: 0.2286, IoU.playingfield: 0.6536, IoU.railing: 0.0047, IoU.railroad: 0.5923, IoU.river: 0.2920, IoU.road: 0.6453, IoU.rock: 0.4722, IoU.roof: 0.2129, IoU.rug: 0.3581, IoU.salad: 0.0000, IoU.sand: 0.6130, IoU.sea: 0.8417, IoU.shelf: 0.3151, IoU.sky-other: 0.7036, IoU.skyscraper: 0.1526, IoU.snow: 0.9062, IoU.solid-other: 0.0000, IoU.stairs: 0.2772, IoU.stone: 0.0024, IoU.straw: 0.0341, IoU.structural-other: 0.0000, IoU.table: 0.1082, IoU.tent: 0.0379, IoU.textile-other: 0.1390, IoU.towel: 0.3433, IoU.tree: 0.7407, IoU.vegetable: 0.2817, IoU.wall-brick: 0.4684, IoU.wall-concrete: 0.5921, IoU.wall-other: 0.1997, IoU.wall-panel: 0.0000, IoU.wall-stone: 0.2779, IoU.wall-tile: 0.6879, IoU.wall-wood: 0.3632, IoU.water-other: 0.3374, IoU.waterdrops: 0.0000, IoU.window-blind: 0.4364, IoU.window-other: 0.4410, IoU.wood: 0.2566, Acc.person: 0.9346, Acc.bicycle: 0.8252, Acc.car: 0.8087, Acc.motorcycle: 0.9049, Acc.airplane: 0.9040, Acc.bus: 0.8893, Acc.train: 0.8748, Acc.truck: 0.7967, Acc.boat: 0.7866, Acc.traffic light: 0.8901, Acc.fire hydrant: 0.9332, Acc.stop sign: 0.9770, Acc.parking meter: 0.8603, Acc.bench: 0.7126, Acc.bird: 0.9007, Acc.cat: 0.9419, Acc.dog: 0.9189, Acc.horse: 0.9427, Acc.sheep: 0.9614, Acc.cow: 0.9300, Acc.elephant: 0.9574, Acc.bear: 0.9567, Acc.zebra: 0.9369, Acc.giraffe: 0.9378, Acc.backpack: 0.7485, Acc.umbrella: 0.8752, Acc.handbag: 0.5990, Acc.tie: 0.0426, Acc.suitcase: 0.9148, Acc.frisbee: 0.8929, Acc.skis: 0.8042, Acc.snowboard: 0.8005, Acc.sports ball: 0.6693, Acc.kite: 0.7336, Acc.baseball bat: 0.7961, Acc.baseball glove: 0.9058, Acc.skateboard: 0.9141, Acc.surfboard: 0.9153, Acc.tennis racket: 0.9079, Acc.bottle: 0.7593, Acc.wine glass: 0.8363, Acc.cup: 0.7838, Acc.fork: 0.6403, Acc.knife: 0.7442, Acc.spoon: 0.4661, Acc.bowl: 0.6098, Acc.banana: 0.9435, Acc.apple: 0.7252, Acc.sandwich: 0.3532, Acc.orange: 0.8854, Acc.broccoli: 0.8701, Acc.carrot: 0.7278, Acc.hot dog: 0.6139, Acc.pizza: 0.5865, Acc.donut: 0.5871, Acc.cake: 0.6696, Acc.chair: 0.7492, Acc.couch: 0.7948, Acc.potted plant: 0.3918, Acc.bed: 0.7912, Acc.dining table: 0.8356, Acc.toilet: 0.8853, Acc.tv: 0.8075, Acc.laptop: 0.9480, Acc.mouse: 0.8763, Acc.remote: 0.7146, Acc.keyboard: 0.7578, Acc.cell phone: 0.9184, Acc.microwave: 0.6274, Acc.oven: 0.7431, Acc.toaster: 0.0000, Acc.sink: 0.7961, Acc.refrigerator: 0.8597, Acc.book: 0.6592, Acc.clock: 0.8290, Acc.vase: 0.8267, Acc.scissors: 0.8513, Acc.teddy bear: 0.9470, Acc.hair drier: 0.0000, Acc.toothbrush: 0.6326, Acc.banner: 0.6681, Acc.blanket: 0.0156, Acc.branch: 0.2316, Acc.bridge: 0.5397, Acc.building-other: 0.6411, Acc.bush: 0.4605, Acc.cabinet: 0.8002, Acc.cage: 0.0653, Acc.cardboard: 0.5132, Acc.carpet: 0.7823, Acc.ceiling-other: 0.8254, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0000, Acc.clothes: 0.1801, Acc.clouds: 0.5622, Acc.counter: 0.4729, Acc.cupboard: 0.0000, Acc.curtain: 0.8287, Acc.desk-stuff: 0.5235, Acc.dirt: 0.7827, Acc.door-stuff: 0.7415, Acc.fence: 0.6683, Acc.floor-marble: 0.0000, Acc.floor-other: 0.2531, Acc.floor-stone: 0.0000, Acc.floor-tile: 0.7637, Acc.floor-wood: 0.8284, Acc.flower: 0.7488, Acc.fog: 0.0007, Acc.food-other: 0.3654, Acc.fruit: 0.2160, Acc.furniture-other: 0.2644, Acc.grass: 0.8278, Acc.gravel: 0.2093, Acc.ground-other: 0.0033, Acc.hill: 0.1605, Acc.house: 0.3169, Acc.leaves: 0.2344, Acc.light: 0.5942, Acc.mat: 0.0000, Acc.metal: 0.5391, Acc.mirror-stuff: 0.5788, Acc.moss: 0.0000, Acc.mountain: 0.7602, Acc.mud: 0.0000, Acc.napkin: 0.0000, Acc.net: 0.5843, Acc.paper: 0.4919, Acc.pavement: 0.6838, Acc.pillow: 0.0622, Acc.plant-other: 0.3386, Acc.plastic: 0.2109, Acc.platform: 0.2997, Acc.playingfield: 0.7999, Acc.railing: 0.0050, Acc.railroad: 0.8502, Acc.river: 0.3503, Acc.road: 0.8239, Acc.rock: 0.7889, Acc.roof: 0.3036, Acc.rug: 0.5055, Acc.salad: 0.0000, Acc.sand: 0.6513, Acc.sea: 0.8873, Acc.shelf: 0.3924, Acc.sky-other: 0.8852, Acc.skyscraper: 0.1607, Acc.snow: 0.9486, Acc.solid-other: 0.0000, Acc.stairs: 0.4583, Acc.stone: 0.0025, Acc.straw: 0.0342, Acc.structural-other: 0.0000, Acc.table: 0.1259, Acc.tent: 0.0390, Acc.textile-other: 0.2602, Acc.towel: 0.5004, Acc.tree: 0.8585, Acc.vegetable: 0.4245, Acc.wall-brick: 0.6334, Acc.wall-concrete: 0.8237, Acc.wall-other: 0.3094, Acc.wall-panel: 0.0000, Acc.wall-stone: 0.3461, Acc.wall-tile: 0.8523, Acc.wall-wood: 0.5568, Acc.water-other: 0.7296, Acc.waterdrops: 0.0000, Acc.window-blind: 0.4988, Acc.window-other: 0.7073, Acc.wood: 0.4344 2022-09-12 08:22:58,918 - mmseg - INFO - Iter [8050/80000] lr: 1.291e-06, eta: 1 day, 15:00:23, time: 8.676, data_time: 6.799, memory: 42763, decode.loss_cls: 1.1254, decode.loss_mask: 0.8673, decode.loss_dice: 1.3812, decode.d0.loss_cls: 7.0368, decode.d0.loss_mask: 0.8387, decode.d0.loss_dice: 1.6405, decode.d1.loss_cls: 1.2661, decode.d1.loss_mask: 0.8766, decode.d1.loss_dice: 1.4540, decode.d2.loss_cls: 1.1544, decode.d2.loss_mask: 0.8674, decode.d2.loss_dice: 1.4133, decode.d3.loss_cls: 1.1295, decode.d3.loss_mask: 0.8721, decode.d3.loss_dice: 1.3930, decode.d4.loss_cls: 1.1267, decode.d4.loss_mask: 0.8690, decode.d4.loss_dice: 1.3912, decode.d5.loss_cls: 1.1181, decode.d5.loss_mask: 0.8639, decode.d5.loss_dice: 1.3891, decode.d6.loss_cls: 1.1179, decode.d6.loss_mask: 0.8643, decode.d6.loss_dice: 1.3737, decode.d7.loss_cls: 1.1131, decode.d7.loss_mask: 0.8684, decode.d7.loss_dice: 1.3798, decode.d8.loss_cls: 1.1112, decode.d8.loss_mask: 0.8708, decode.d8.loss_dice: 1.3813, loss: 40.1549 2022-09-12 08:24:32,039 - mmseg - INFO - Iter [8100/80000] lr: 1.290e-06, eta: 1 day, 14:58:06, time: 1.862, data_time: 0.016, memory: 42763, decode.loss_cls: 1.1073, decode.loss_mask: 0.8663, decode.loss_dice: 1.3448, decode.d0.loss_cls: 7.0230, decode.d0.loss_mask: 0.8492, decode.d0.loss_dice: 1.6124, decode.d1.loss_cls: 1.2540, decode.d1.loss_mask: 0.8777, decode.d1.loss_dice: 1.4346, decode.d2.loss_cls: 1.1494, decode.d2.loss_mask: 0.8658, decode.d2.loss_dice: 1.3803, decode.d3.loss_cls: 1.1197, decode.d3.loss_mask: 0.8648, decode.d3.loss_dice: 1.3563, decode.d4.loss_cls: 1.1156, decode.d4.loss_mask: 0.8554, decode.d4.loss_dice: 1.3557, decode.d5.loss_cls: 1.1009, decode.d5.loss_mask: 0.8529, decode.d5.loss_dice: 1.3380, decode.d6.loss_cls: 1.0927, decode.d6.loss_mask: 0.8609, decode.d6.loss_dice: 1.3473, decode.d7.loss_cls: 1.0926, decode.d7.loss_mask: 0.8615, decode.d7.loss_dice: 1.3509, decode.d8.loss_cls: 1.1034, decode.d8.loss_mask: 0.8602, decode.d8.loss_dice: 1.3484, loss: 39.6422 2022-09-12 08:26:05,023 - mmseg - INFO - Iter [8150/80000] lr: 1.290e-06, eta: 1 day, 14:55:48, time: 1.860, data_time: 0.018, memory: 42763, decode.loss_cls: 1.1274, decode.loss_mask: 0.8581, decode.loss_dice: 1.3880, decode.d0.loss_cls: 7.0046, decode.d0.loss_mask: 0.8300, decode.d0.loss_dice: 1.6408, decode.d1.loss_cls: 1.2538, decode.d1.loss_mask: 0.8736, decode.d1.loss_dice: 1.4730, decode.d2.loss_cls: 1.1531, decode.d2.loss_mask: 0.8672, decode.d2.loss_dice: 1.4193, decode.d3.loss_cls: 1.1389, decode.d3.loss_mask: 0.8624, decode.d3.loss_dice: 1.3951, decode.d4.loss_cls: 1.1278, decode.d4.loss_mask: 0.8630, decode.d4.loss_dice: 1.3912, decode.d5.loss_cls: 1.1156, decode.d5.loss_mask: 0.8632, decode.d5.loss_dice: 1.3859, decode.d6.loss_cls: 1.1197, decode.d6.loss_mask: 0.8590, decode.d6.loss_dice: 1.3941, decode.d7.loss_cls: 1.1161, decode.d7.loss_mask: 0.8594, decode.d7.loss_dice: 1.3844, decode.d8.loss_cls: 1.1196, decode.d8.loss_mask: 0.8676, decode.d8.loss_dice: 1.3830, loss: 40.1350 2022-09-12 08:27:38,796 - mmseg - INFO - Iter [8200/80000] lr: 1.289e-06, eta: 1 day, 14:53:38, time: 1.875, data_time: 0.017, memory: 42763, decode.loss_cls: 1.0996, decode.loss_mask: 0.8664, decode.loss_dice: 1.3718, decode.d0.loss_cls: 6.9682, decode.d0.loss_mask: 0.8361, decode.d0.loss_dice: 1.6238, decode.d1.loss_cls: 1.2497, decode.d1.loss_mask: 0.8859, decode.d1.loss_dice: 1.4328, decode.d2.loss_cls: 1.1331, decode.d2.loss_mask: 0.8665, decode.d2.loss_dice: 1.3887, decode.d3.loss_cls: 1.1090, decode.d3.loss_mask: 0.8631, decode.d3.loss_dice: 1.3813, decode.d4.loss_cls: 1.0999, decode.d4.loss_mask: 0.8585, decode.d4.loss_dice: 1.3733, decode.d5.loss_cls: 1.0915, decode.d5.loss_mask: 0.8605, decode.d5.loss_dice: 1.3674, decode.d6.loss_cls: 1.0897, decode.d6.loss_mask: 0.8595, decode.d6.loss_dice: 1.3674, decode.d7.loss_cls: 1.0935, decode.d7.loss_mask: 0.8634, decode.d7.loss_dice: 1.3714, decode.d8.loss_cls: 1.0933, decode.d8.loss_mask: 0.8596, decode.d8.loss_dice: 1.3705, loss: 39.6952 2022-09-12 08:29:11,536 - mmseg - INFO - Iter [8250/80000] lr: 1.288e-06, eta: 1 day, 14:51:19, time: 1.855, data_time: 0.016, memory: 42763, decode.loss_cls: 1.1299, decode.loss_mask: 0.8872, decode.loss_dice: 1.4021, decode.d0.loss_cls: 6.9425, decode.d0.loss_mask: 0.8593, decode.d0.loss_dice: 1.6390, decode.d1.loss_cls: 1.2567, decode.d1.loss_mask: 0.9074, decode.d1.loss_dice: 1.4714, decode.d2.loss_cls: 1.1547, decode.d2.loss_mask: 0.8913, decode.d2.loss_dice: 1.4289, decode.d3.loss_cls: 1.1334, decode.d3.loss_mask: 0.8933, decode.d3.loss_dice: 1.4082, decode.d4.loss_cls: 1.1271, decode.d4.loss_mask: 0.8927, decode.d4.loss_dice: 1.4060, decode.d5.loss_cls: 1.1202, decode.d5.loss_mask: 0.8917, decode.d5.loss_dice: 1.3957, decode.d6.loss_cls: 1.1248, decode.d6.loss_mask: 0.8886, decode.d6.loss_dice: 1.3959, decode.d7.loss_cls: 1.1227, decode.d7.loss_mask: 0.8951, decode.d7.loss_dice: 1.3935, decode.d8.loss_cls: 1.1243, decode.d8.loss_mask: 0.8908, decode.d8.loss_dice: 1.3982, loss: 40.4723 2022-09-12 08:30:46,320 - mmseg - INFO - Iter [8300/80000] lr: 1.287e-06, eta: 1 day, 14:49:18, time: 1.896, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0940, decode.loss_mask: 0.8510, decode.loss_dice: 1.3704, decode.d0.loss_cls: 6.8994, decode.d0.loss_mask: 0.8280, decode.d0.loss_dice: 1.6305, decode.d1.loss_cls: 1.2303, decode.d1.loss_mask: 0.8609, decode.d1.loss_dice: 1.4499, decode.d2.loss_cls: 1.1196, decode.d2.loss_mask: 0.8520, decode.d2.loss_dice: 1.3971, decode.d3.loss_cls: 1.1002, decode.d3.loss_mask: 0.8552, decode.d3.loss_dice: 1.3743, decode.d4.loss_cls: 1.0960, decode.d4.loss_mask: 0.8561, decode.d4.loss_dice: 1.3759, decode.d5.loss_cls: 1.0869, decode.d5.loss_mask: 0.8495, decode.d5.loss_dice: 1.3730, decode.d6.loss_cls: 1.0880, decode.d6.loss_mask: 0.8511, decode.d6.loss_dice: 1.3743, decode.d7.loss_cls: 1.0917, decode.d7.loss_mask: 0.8460, decode.d7.loss_dice: 1.3756, decode.d8.loss_cls: 1.0802, decode.d8.loss_mask: 0.8534, decode.d8.loss_dice: 1.3727, loss: 39.4830 2022-09-12 08:32:20,305 - mmseg - INFO - Iter [8350/80000] lr: 1.286e-06, eta: 1 day, 14:47:11, time: 1.880, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0897, decode.loss_mask: 0.8817, decode.loss_dice: 1.3728, decode.d0.loss_cls: 6.8665, decode.d0.loss_mask: 0.8616, decode.d0.loss_dice: 1.6181, decode.d1.loss_cls: 1.2307, decode.d1.loss_mask: 0.8969, decode.d1.loss_dice: 1.4430, decode.d2.loss_cls: 1.1087, decode.d2.loss_mask: 0.8895, decode.d2.loss_dice: 1.3946, decode.d3.loss_cls: 1.0942, decode.d3.loss_mask: 0.8852, decode.d3.loss_dice: 1.3904, decode.d4.loss_cls: 1.0844, decode.d4.loss_mask: 0.8860, decode.d4.loss_dice: 1.3889, decode.d5.loss_cls: 1.0882, decode.d5.loss_mask: 0.8848, decode.d5.loss_dice: 1.3715, decode.d6.loss_cls: 1.0726, decode.d6.loss_mask: 0.8868, decode.d6.loss_dice: 1.3670, decode.d7.loss_cls: 1.0782, decode.d7.loss_mask: 0.8832, decode.d7.loss_dice: 1.3740, decode.d8.loss_cls: 1.0776, decode.d8.loss_mask: 0.8847, decode.d8.loss_dice: 1.3698, loss: 39.7214 2022-09-12 08:33:55,785 - mmseg - INFO - Iter [8400/80000] lr: 1.285e-06, eta: 1 day, 14:45:16, time: 1.908, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0796, decode.loss_mask: 0.8611, decode.loss_dice: 1.3560, decode.d0.loss_cls: 6.8119, decode.d0.loss_mask: 0.8401, decode.d0.loss_dice: 1.6099, decode.d1.loss_cls: 1.2207, decode.d1.loss_mask: 0.8746, decode.d1.loss_dice: 1.4373, decode.d2.loss_cls: 1.1098, decode.d2.loss_mask: 0.8650, decode.d2.loss_dice: 1.3804, decode.d3.loss_cls: 1.0808, decode.d3.loss_mask: 0.8632, decode.d3.loss_dice: 1.3636, decode.d4.loss_cls: 1.0774, decode.d4.loss_mask: 0.8700, decode.d4.loss_dice: 1.3585, decode.d5.loss_cls: 1.0769, decode.d5.loss_mask: 0.8609, decode.d5.loss_dice: 1.3569, decode.d6.loss_cls: 1.0738, decode.d6.loss_mask: 0.8550, decode.d6.loss_dice: 1.3497, decode.d7.loss_cls: 1.0771, decode.d7.loss_mask: 0.8575, decode.d7.loss_dice: 1.3512, decode.d8.loss_cls: 1.0689, decode.d8.loss_mask: 0.8618, decode.d8.loss_dice: 1.3578, loss: 39.2074 2022-09-12 08:35:30,770 - mmseg - INFO - Iter [8450/80000] lr: 1.284e-06, eta: 1 day, 14:43:19, time: 1.901, data_time: 0.018, memory: 42763, decode.loss_cls: 1.0816, decode.loss_mask: 0.8702, decode.loss_dice: 1.3823, decode.d0.loss_cls: 6.7970, decode.d0.loss_mask: 0.8324, decode.d0.loss_dice: 1.6132, decode.d1.loss_cls: 1.2345, decode.d1.loss_mask: 0.8703, decode.d1.loss_dice: 1.4504, decode.d2.loss_cls: 1.1251, decode.d2.loss_mask: 0.8567, decode.d2.loss_dice: 1.4118, decode.d3.loss_cls: 1.0967, decode.d3.loss_mask: 0.8601, decode.d3.loss_dice: 1.3991, decode.d4.loss_cls: 1.0933, decode.d4.loss_mask: 0.8558, decode.d4.loss_dice: 1.3963, decode.d5.loss_cls: 1.0861, decode.d5.loss_mask: 0.8585, decode.d5.loss_dice: 1.3851, decode.d6.loss_cls: 1.0696, decode.d6.loss_mask: 0.8635, decode.d6.loss_dice: 1.3772, decode.d7.loss_cls: 1.0737, decode.d7.loss_mask: 0.8596, decode.d7.loss_dice: 1.3783, decode.d8.loss_cls: 1.0757, decode.d8.loss_mask: 0.8636, decode.d8.loss_dice: 1.3817, loss: 39.4993 2022-09-12 08:37:04,531 - mmseg - INFO - Iter [8500/80000] lr: 1.283e-06, eta: 1 day, 14:41:09, time: 1.873, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0687, decode.loss_mask: 0.8558, decode.loss_dice: 1.3735, decode.d0.loss_cls: 6.7642, decode.d0.loss_mask: 0.8268, decode.d0.loss_dice: 1.6143, decode.d1.loss_cls: 1.2071, decode.d1.loss_mask: 0.8677, decode.d1.loss_dice: 1.4363, decode.d2.loss_cls: 1.0910, decode.d2.loss_mask: 0.8630, decode.d2.loss_dice: 1.3826, decode.d3.loss_cls: 1.0809, decode.d3.loss_mask: 0.8625, decode.d3.loss_dice: 1.3768, decode.d4.loss_cls: 1.0736, decode.d4.loss_mask: 0.8602, decode.d4.loss_dice: 1.3798, decode.d5.loss_cls: 1.0653, decode.d5.loss_mask: 0.8575, decode.d5.loss_dice: 1.3717, decode.d6.loss_cls: 1.0691, decode.d6.loss_mask: 0.8573, decode.d6.loss_dice: 1.3732, decode.d7.loss_cls: 1.0588, decode.d7.loss_mask: 0.8610, decode.d7.loss_dice: 1.3784, decode.d8.loss_cls: 1.0627, decode.d8.loss_mask: 0.8551, decode.d8.loss_dice: 1.3737, loss: 39.1687 2022-09-12 08:38:39,501 - mmseg - INFO - Iter [8550/80000] lr: 1.282e-06, eta: 1 day, 14:39:12, time: 1.901, data_time: 0.020, memory: 42763, decode.loss_cls: 1.1015, decode.loss_mask: 0.8444, decode.loss_dice: 1.3888, decode.d0.loss_cls: 6.7314, decode.d0.loss_mask: 0.8154, decode.d0.loss_dice: 1.6448, decode.d1.loss_cls: 1.2487, decode.d1.loss_mask: 0.8496, decode.d1.loss_dice: 1.4604, decode.d2.loss_cls: 1.1283, decode.d2.loss_mask: 0.8413, decode.d2.loss_dice: 1.4032, decode.d3.loss_cls: 1.1075, decode.d3.loss_mask: 0.8401, decode.d3.loss_dice: 1.3967, decode.d4.loss_cls: 1.0942, decode.d4.loss_mask: 0.8339, decode.d4.loss_dice: 1.3936, decode.d5.loss_cls: 1.0893, decode.d5.loss_mask: 0.8330, decode.d5.loss_dice: 1.3899, decode.d6.loss_cls: 1.0791, decode.d6.loss_mask: 0.8388, decode.d6.loss_dice: 1.3848, decode.d7.loss_cls: 1.0895, decode.d7.loss_mask: 0.8360, decode.d7.loss_dice: 1.3848, decode.d8.loss_cls: 1.0853, decode.d8.loss_mask: 0.8459, decode.d8.loss_dice: 1.3846, loss: 39.3646 2022-09-12 08:40:13,545 - mmseg - INFO - Iter [8600/80000] lr: 1.281e-06, eta: 1 day, 14:37:08, time: 1.882, data_time: 0.020, memory: 42763, decode.loss_cls: 1.0860, decode.loss_mask: 0.8523, decode.loss_dice: 1.3828, decode.d0.loss_cls: 6.7161, decode.d0.loss_mask: 0.8246, decode.d0.loss_dice: 1.6340, decode.d1.loss_cls: 1.2218, decode.d1.loss_mask: 0.8733, decode.d1.loss_dice: 1.4594, decode.d2.loss_cls: 1.1198, decode.d2.loss_mask: 0.8605, decode.d2.loss_dice: 1.4074, decode.d3.loss_cls: 1.1070, decode.d3.loss_mask: 0.8531, decode.d3.loss_dice: 1.3899, decode.d4.loss_cls: 1.0974, decode.d4.loss_mask: 0.8545, decode.d4.loss_dice: 1.3941, decode.d5.loss_cls: 1.0964, decode.d5.loss_mask: 0.8484, decode.d5.loss_dice: 1.3857, decode.d6.loss_cls: 1.0786, decode.d6.loss_mask: 0.8525, decode.d6.loss_dice: 1.3790, decode.d7.loss_cls: 1.0894, decode.d7.loss_mask: 0.8515, decode.d7.loss_dice: 1.3789, decode.d8.loss_cls: 1.0750, decode.d8.loss_mask: 0.8544, decode.d8.loss_dice: 1.3831, loss: 39.4069 2022-09-12 08:41:47,859 - mmseg - INFO - Iter [8650/80000] lr: 1.281e-06, eta: 1 day, 14:35:05, time: 1.886, data_time: 0.017, memory: 42763, decode.loss_cls: 1.0822, decode.loss_mask: 0.8553, decode.loss_dice: 1.3785, decode.d0.loss_cls: 6.6777, decode.d0.loss_mask: 0.8233, decode.d0.loss_dice: 1.6308, decode.d1.loss_cls: 1.2141, decode.d1.loss_mask: 0.8649, decode.d1.loss_dice: 1.4494, decode.d2.loss_cls: 1.1090, decode.d2.loss_mask: 0.8545, decode.d2.loss_dice: 1.4001, decode.d3.loss_cls: 1.0808, decode.d3.loss_mask: 0.8513, decode.d3.loss_dice: 1.3898, decode.d4.loss_cls: 1.0840, decode.d4.loss_mask: 0.8466, decode.d4.loss_dice: 1.3935, decode.d5.loss_cls: 1.0702, decode.d5.loss_mask: 0.8486, decode.d5.loss_dice: 1.3846, decode.d6.loss_cls: 1.0648, decode.d6.loss_mask: 0.8523, decode.d6.loss_dice: 1.3669, decode.d7.loss_cls: 1.0714, decode.d7.loss_mask: 0.8480, decode.d7.loss_dice: 1.3863, decode.d8.loss_cls: 1.0702, decode.d8.loss_mask: 0.8488, decode.d8.loss_dice: 1.3759, loss: 39.1740 2022-09-12 08:43:21,017 - mmseg - INFO - Iter [8700/80000] lr: 1.280e-06, eta: 1 day, 14:32:54, time: 1.863, data_time: 0.018, memory: 42763, decode.loss_cls: 1.1039, decode.loss_mask: 0.8556, decode.loss_dice: 1.3582, decode.d0.loss_cls: 6.6556, decode.d0.loss_mask: 0.8267, decode.d0.loss_dice: 1.6250, decode.d1.loss_cls: 1.2454, decode.d1.loss_mask: 0.8751, decode.d1.loss_dice: 1.4328, decode.d2.loss_cls: 1.1255, decode.d2.loss_mask: 0.8652, decode.d2.loss_dice: 1.3830, decode.d3.loss_cls: 1.1104, decode.d3.loss_mask: 0.8630, decode.d3.loss_dice: 1.3725, decode.d4.loss_cls: 1.1064, decode.d4.loss_mask: 0.8608, decode.d4.loss_dice: 1.3740, decode.d5.loss_cls: 1.0966, decode.d5.loss_mask: 0.8584, decode.d5.loss_dice: 1.3694, decode.d6.loss_cls: 1.0956, decode.d6.loss_mask: 0.8578, decode.d6.loss_dice: 1.3698, decode.d7.loss_cls: 1.1003, decode.d7.loss_mask: 0.8499, decode.d7.loss_dice: 1.3682, decode.d8.loss_cls: 1.0938, decode.d8.loss_mask: 0.8585, decode.d8.loss_dice: 1.3684, loss: 39.3257 2022-09-12 08:44:54,382 - mmseg - INFO - Iter [8750/80000] lr: 1.279e-06, eta: 1 day, 14:30:44, time: 1.867, data_time: 0.018, memory: 42763, decode.loss_cls: 1.1370, decode.loss_mask: 0.8759, decode.loss_dice: 1.3972, decode.d0.loss_cls: 6.6210, decode.d0.loss_mask: 0.8439, decode.d0.loss_dice: 1.6507, decode.d1.loss_cls: 1.2546, decode.d1.loss_mask: 0.8873, decode.d1.loss_dice: 1.4805, decode.d2.loss_cls: 1.1531, decode.d2.loss_mask: 0.8746, decode.d2.loss_dice: 1.4281, decode.d3.loss_cls: 1.1345, decode.d3.loss_mask: 0.8774, decode.d3.loss_dice: 1.4067, decode.d4.loss_cls: 1.1287, decode.d4.loss_mask: 0.8779, decode.d4.loss_dice: 1.4105, decode.d5.loss_cls: 1.1238, decode.d5.loss_mask: 0.8750, decode.d5.loss_dice: 1.3968, decode.d6.loss_cls: 1.1229, decode.d6.loss_mask: 0.8722, decode.d6.loss_dice: 1.4000, decode.d7.loss_cls: 1.1251, decode.d7.loss_mask: 0.8729, decode.d7.loss_dice: 1.3994, decode.d8.loss_cls: 1.1249, decode.d8.loss_mask: 0.8744, decode.d8.loss_dice: 1.4017, loss: 40.0285 2022-09-12 08:46:27,074 - mmseg - INFO - Iter [8800/80000] lr: 1.278e-06, eta: 1 day, 14:28:28, time: 1.850, data_time: 0.015, memory: 42763, decode.loss_cls: 1.0490, decode.loss_mask: 0.8519, decode.loss_dice: 1.3731, decode.d0.loss_cls: 6.5603, decode.d0.loss_mask: 0.8293, decode.d0.loss_dice: 1.6117, decode.d1.loss_cls: 1.1837, decode.d1.loss_mask: 0.8694, decode.d1.loss_dice: 1.4466, decode.d2.loss_cls: 1.0682, decode.d2.loss_mask: 0.8565, decode.d2.loss_dice: 1.3949, decode.d3.loss_cls: 1.0496, decode.d3.loss_mask: 0.8565, decode.d3.loss_dice: 1.3782, decode.d4.loss_cls: 1.0406, decode.d4.loss_mask: 0.8522, decode.d4.loss_dice: 1.3793, decode.d5.loss_cls: 1.0363, decode.d5.loss_mask: 0.8481, decode.d5.loss_dice: 1.3720, decode.d6.loss_cls: 1.0383, decode.d6.loss_mask: 0.8562, decode.d6.loss_dice: 1.3653, decode.d7.loss_cls: 1.0368, decode.d7.loss_mask: 0.8485, decode.d7.loss_dice: 1.3639, decode.d8.loss_cls: 1.0408, decode.d8.loss_mask: 0.8477, decode.d8.loss_dice: 1.3778, loss: 38.6827 2022-09-12 08:48:00,638 - mmseg - INFO - Iter [8850/80000] lr: 1.277e-06, eta: 1 day, 14:26:22, time: 1.875, data_time: 0.020, memory: 42763, decode.loss_cls: 1.1055, decode.loss_mask: 0.8428, decode.loss_dice: 1.3775, decode.d0.loss_cls: 6.5527, decode.d0.loss_mask: 0.8148, decode.d0.loss_dice: 1.6357, decode.d1.loss_cls: 1.2461, decode.d1.loss_mask: 0.8551, decode.d1.loss_dice: 1.4456, decode.d2.loss_cls: 1.1296, decode.d2.loss_mask: 0.8393, decode.d2.loss_dice: 1.4022, decode.d3.loss_cls: 1.1085, decode.d3.loss_mask: 0.8454, decode.d3.loss_dice: 1.3907, decode.d4.loss_cls: 1.1010, decode.d4.loss_mask: 0.8473, decode.d4.loss_dice: 1.3876, decode.d5.loss_cls: 1.1015, decode.d5.loss_mask: 0.8451, decode.d5.loss_dice: 1.3762, decode.d6.loss_cls: 1.0993, decode.d6.loss_mask: 0.8438, decode.d6.loss_dice: 1.3743, decode.d7.loss_cls: 1.1020, decode.d7.loss_mask: 0.8414, decode.d7.loss_dice: 1.3820, decode.d8.loss_cls: 1.0979, decode.d8.loss_mask: 0.8416, decode.d8.loss_dice: 1.3815, loss: 39.2141 2022-09-12 08:49:33,267 - mmseg - INFO - Iter [8900/80000] lr: 1.276e-06, eta: 1 day, 14:24:08, time: 1.853, data_time: 0.018, memory: 42763, decode.loss_cls: 1.0990, decode.loss_mask: 0.8775, decode.loss_dice: 1.4204, decode.d0.loss_cls: 6.5096, decode.d0.loss_mask: 0.8600, decode.d0.loss_dice: 1.6766, decode.d1.loss_cls: 1.2433, decode.d1.loss_mask: 0.8913, decode.d1.loss_dice: 1.4883, decode.d2.loss_cls: 1.1366, decode.d2.loss_mask: 0.8778, decode.d2.loss_dice: 1.4428, decode.d3.loss_cls: 1.1146, decode.d3.loss_mask: 0.8788, decode.d3.loss_dice: 1.4220, decode.d4.loss_cls: 1.1030, decode.d4.loss_mask: 0.8716, decode.d4.loss_dice: 1.4160, decode.d5.loss_cls: 1.0901, decode.d5.loss_mask: 0.8772, decode.d5.loss_dice: 1.4055, decode.d6.loss_cls: 1.0909, decode.d6.loss_mask: 0.8748, decode.d6.loss_dice: 1.4101, decode.d7.loss_cls: 1.0871, decode.d7.loss_mask: 0.8780, decode.d7.loss_dice: 1.4064, decode.d8.loss_cls: 1.0899, decode.d8.loss_mask: 0.8733, decode.d8.loss_dice: 1.4043, loss: 39.8166 2022-09-12 08:51:07,043 - mmseg - INFO - Iter [8950/80000] lr: 1.275e-06, eta: 1 day, 14:22:04, time: 1.875, data_time: 0.016, memory: 42763, decode.loss_cls: 1.1175, decode.loss_mask: 0.8510, decode.loss_dice: 1.3907, decode.d0.loss_cls: 6.5094, decode.d0.loss_mask: 0.8227, decode.d0.loss_dice: 1.6507, decode.d1.loss_cls: 1.2685, decode.d1.loss_mask: 0.8626, decode.d1.loss_dice: 1.4589, decode.d2.loss_cls: 1.1588, decode.d2.loss_mask: 0.8449, decode.d2.loss_dice: 1.4079, decode.d3.loss_cls: 1.1379, decode.d3.loss_mask: 0.8522, decode.d3.loss_dice: 1.3950, decode.d4.loss_cls: 1.1373, decode.d4.loss_mask: 0.8480, decode.d4.loss_dice: 1.3970, decode.d5.loss_cls: 1.1276, decode.d5.loss_mask: 0.8443, decode.d5.loss_dice: 1.3921, decode.d6.loss_cls: 1.1122, decode.d6.loss_mask: 0.8493, decode.d6.loss_dice: 1.3813, decode.d7.loss_cls: 1.1186, decode.d7.loss_mask: 0.8506, decode.d7.loss_dice: 1.3834, decode.d8.loss_cls: 1.1160, decode.d8.loss_mask: 0.8491, decode.d8.loss_dice: 1.3854, loss: 39.5210 2022-09-12 08:52:40,801 - mmseg - INFO - Saving checkpoint at 9000 iterations 2022-09-12 08:53:07,080 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 08:53:07,085 - mmseg - INFO - Iter [9000/80000] lr: 1.274e-06, eta: 1 day, 14:23:26, time: 2.399, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0803, decode.loss_mask: 0.8647, decode.loss_dice: 1.3639, decode.d0.loss_cls: 6.4553, decode.d0.loss_mask: 0.8287, decode.d0.loss_dice: 1.6039, decode.d1.loss_cls: 1.2208, decode.d1.loss_mask: 0.8746, decode.d1.loss_dice: 1.4375, decode.d2.loss_cls: 1.1236, decode.d2.loss_mask: 0.8616, decode.d2.loss_dice: 1.3730, decode.d3.loss_cls: 1.1034, decode.d3.loss_mask: 0.8571, decode.d3.loss_dice: 1.3556, decode.d4.loss_cls: 1.0925, decode.d4.loss_mask: 0.8529, decode.d4.loss_dice: 1.3655, decode.d5.loss_cls: 1.0832, decode.d5.loss_mask: 0.8486, decode.d5.loss_dice: 1.3546, decode.d6.loss_cls: 1.0876, decode.d6.loss_mask: 0.8525, decode.d6.loss_dice: 1.3489, decode.d7.loss_cls: 1.0833, decode.d7.loss_mask: 0.8549, decode.d7.loss_dice: 1.3584, decode.d8.loss_cls: 1.0835, decode.d8.loss_mask: 0.8600, decode.d8.loss_dice: 1.3595, loss: 38.8898 2022-09-12 08:54:42,222 - mmseg - INFO - Iter [9050/80000] lr: 1.273e-06, eta: 1 day, 14:21:32, time: 1.904, data_time: 0.019, memory: 42763, decode.loss_cls: 1.0686, decode.loss_mask: 0.8696, decode.loss_dice: 1.3759, decode.d0.loss_cls: 6.4111, decode.d0.loss_mask: 0.8437, decode.d0.loss_dice: 1.6200, decode.d1.loss_cls: 1.2210, decode.d1.loss_mask: 0.8809, decode.d1.loss_dice: 1.4596, decode.d2.loss_cls: 1.1177, decode.d2.loss_mask: 0.8718, decode.d2.loss_dice: 1.4036, decode.d3.loss_cls: 1.0979, decode.d3.loss_mask: 0.8665, decode.d3.loss_dice: 1.3698, decode.d4.loss_cls: 1.0854, decode.d4.loss_mask: 0.8644, decode.d4.loss_dice: 1.3770, decode.d5.loss_cls: 1.0785, decode.d5.loss_mask: 0.8598, decode.d5.loss_dice: 1.3681, decode.d6.loss_cls: 1.0714, decode.d6.loss_mask: 0.8576, decode.d6.loss_dice: 1.3565, decode.d7.loss_cls: 1.0750, decode.d7.loss_mask: 0.8592, decode.d7.loss_dice: 1.3707, decode.d8.loss_cls: 1.0673, decode.d8.loss_mask: 0.8634, decode.d8.loss_dice: 1.3692, loss: 39.0013 2022-09-12 08:56:15,696 - mmseg - INFO - Iter [9100/80000] lr: 1.272e-06, eta: 1 day, 14:19:25, time: 1.870, data_time: 0.017, memory: 42763, decode.loss_cls: 1.1314, decode.loss_mask: 0.8484, decode.loss_dice: 1.3684, decode.d0.loss_cls: 6.4104, decode.d0.loss_mask: 0.8302, decode.d0.loss_dice: 1.6327, decode.d1.loss_cls: 1.2760, decode.d1.loss_mask: 0.8568, decode.d1.loss_dice: 1.4536, decode.d2.loss_cls: 1.1704, decode.d2.loss_mask: 0.8483, decode.d2.loss_dice: 1.3934, decode.d3.loss_cls: 1.1386, decode.d3.loss_mask: 0.8522, decode.d3.loss_dice: 1.3680, decode.d4.loss_cls: 1.1349, decode.d4.loss_mask: 0.8480, decode.d4.loss_dice: 1.3745, decode.d5.loss_cls: 1.1240, decode.d5.loss_mask: 0.8463, decode.d5.loss_dice: 1.3616, decode.d6.loss_cls: 1.1214, decode.d6.loss_mask: 0.8525, decode.d6.loss_dice: 1.3610, decode.d7.loss_cls: 1.1260, decode.d7.loss_mask: 0.8487, decode.d7.loss_dice: 1.3645, decode.d8.loss_cls: 1.1207, decode.d8.loss_mask: 0.8484, decode.d8.loss_dice: 1.3636, loss: 39.2748 2022-09-12 08:57:48,043 - mmseg - INFO - Iter [9150/80000] lr: 1.272e-06, eta: 1 day, 14:17:09, time: 1.845, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0681, decode.loss_mask: 0.8595, decode.loss_dice: 1.3438, decode.d0.loss_cls: 6.3533, decode.d0.loss_mask: 0.8253, decode.d0.loss_dice: 1.5955, decode.d1.loss_cls: 1.1957, decode.d1.loss_mask: 0.8699, decode.d1.loss_dice: 1.4087, decode.d2.loss_cls: 1.0989, decode.d2.loss_mask: 0.8654, decode.d2.loss_dice: 1.3711, decode.d3.loss_cls: 1.0804, decode.d3.loss_mask: 0.8611, decode.d3.loss_dice: 1.3567, decode.d4.loss_cls: 1.0801, decode.d4.loss_mask: 0.8601, decode.d4.loss_dice: 1.3530, decode.d5.loss_cls: 1.0725, decode.d5.loss_mask: 0.8547, decode.d5.loss_dice: 1.3476, decode.d6.loss_cls: 1.0650, decode.d6.loss_mask: 0.8600, decode.d6.loss_dice: 1.3450, decode.d7.loss_cls: 1.0662, decode.d7.loss_mask: 0.8550, decode.d7.loss_dice: 1.3496, decode.d8.loss_cls: 1.0583, decode.d8.loss_mask: 0.8605, decode.d8.loss_dice: 1.3495, loss: 38.5306 2022-09-12 08:59:19,965 - mmseg - INFO - Iter [9200/80000] lr: 1.271e-06, eta: 1 day, 14:14:51, time: 1.840, data_time: 0.018, memory: 42763, decode.loss_cls: 1.1177, decode.loss_mask: 0.8476, decode.loss_dice: 1.3719, decode.d0.loss_cls: 6.3603, decode.d0.loss_mask: 0.8332, decode.d0.loss_dice: 1.6349, decode.d1.loss_cls: 1.2442, decode.d1.loss_mask: 0.8671, decode.d1.loss_dice: 1.4437, decode.d2.loss_cls: 1.1371, decode.d2.loss_mask: 0.8594, decode.d2.loss_dice: 1.3872, decode.d3.loss_cls: 1.1298, decode.d3.loss_mask: 0.8551, decode.d3.loss_dice: 1.3729, decode.d4.loss_cls: 1.1151, decode.d4.loss_mask: 0.8525, decode.d4.loss_dice: 1.3694, decode.d5.loss_cls: 1.1131, decode.d5.loss_mask: 0.8521, decode.d5.loss_dice: 1.3653, decode.d6.loss_cls: 1.1138, decode.d6.loss_mask: 0.8448, decode.d6.loss_dice: 1.3688, decode.d7.loss_cls: 1.1066, decode.d7.loss_mask: 0.8479, decode.d7.loss_dice: 1.3694, decode.d8.loss_cls: 1.1077, decode.d8.loss_mask: 0.8496, decode.d8.loss_dice: 1.3729, loss: 39.1111 2022-09-12 09:00:53,915 - mmseg - INFO - Iter [9250/80000] lr: 1.270e-06, eta: 1 day, 14:12:48, time: 1.877, data_time: 0.017, memory: 42763, decode.loss_cls: 1.0878, decode.loss_mask: 0.8446, decode.loss_dice: 1.3681, decode.d0.loss_cls: 6.3087, decode.d0.loss_mask: 0.8193, decode.d0.loss_dice: 1.6048, decode.d1.loss_cls: 1.2237, decode.d1.loss_mask: 0.8681, decode.d1.loss_dice: 1.4254, decode.d2.loss_cls: 1.1224, decode.d2.loss_mask: 0.8509, decode.d2.loss_dice: 1.3882, decode.d3.loss_cls: 1.1068, decode.d3.loss_mask: 0.8522, decode.d3.loss_dice: 1.3722, decode.d4.loss_cls: 1.0971, decode.d4.loss_mask: 0.8520, decode.d4.loss_dice: 1.3625, decode.d5.loss_cls: 1.1002, decode.d5.loss_mask: 0.8424, decode.d5.loss_dice: 1.3605, decode.d6.loss_cls: 1.0888, decode.d6.loss_mask: 0.8439, decode.d6.loss_dice: 1.3642, decode.d7.loss_cls: 1.0935, decode.d7.loss_mask: 0.8413, decode.d7.loss_dice: 1.3620, decode.d8.loss_cls: 1.0845, decode.d8.loss_mask: 0.8478, decode.d8.loss_dice: 1.3618, loss: 38.7456 2022-09-12 09:02:27,342 - mmseg - INFO - Iter [9300/80000] lr: 1.269e-06, eta: 1 day, 14:10:42, time: 1.868, data_time: 0.018, memory: 42763, decode.loss_cls: 1.1197, decode.loss_mask: 0.8815, decode.loss_dice: 1.3880, decode.d0.loss_cls: 6.2863, decode.d0.loss_mask: 0.8525, decode.d0.loss_dice: 1.6480, decode.d1.loss_cls: 1.2551, decode.d1.loss_mask: 0.8914, decode.d1.loss_dice: 1.4650, decode.d2.loss_cls: 1.1467, decode.d2.loss_mask: 0.8779, decode.d2.loss_dice: 1.4181, decode.d3.loss_cls: 1.1353, decode.d3.loss_mask: 0.8676, decode.d3.loss_dice: 1.3892, decode.d4.loss_cls: 1.1249, decode.d4.loss_mask: 0.8666, decode.d4.loss_dice: 1.3848, decode.d5.loss_cls: 1.1096, decode.d5.loss_mask: 0.8676, decode.d5.loss_dice: 1.3864, decode.d6.loss_cls: 1.1108, decode.d6.loss_mask: 0.8706, decode.d6.loss_dice: 1.3844, decode.d7.loss_cls: 1.1141, decode.d7.loss_mask: 0.8735, decode.d7.loss_dice: 1.3789, decode.d8.loss_cls: 1.1098, decode.d8.loss_mask: 0.8784, decode.d8.loss_dice: 1.3868, loss: 39.4692 2022-09-12 09:04:01,740 - mmseg - INFO - Iter [9350/80000] lr: 1.268e-06, eta: 1 day, 14:08:44, time: 1.890, data_time: 0.018, memory: 42763, decode.loss_cls: 1.0863, decode.loss_mask: 0.8575, decode.loss_dice: 1.3864, decode.d0.loss_cls: 6.2286, decode.d0.loss_mask: 0.8274, decode.d0.loss_dice: 1.6253, decode.d1.loss_cls: 1.2255, decode.d1.loss_mask: 0.8761, decode.d1.loss_dice: 1.4504, decode.d2.loss_cls: 1.1228, decode.d2.loss_mask: 0.8721, decode.d2.loss_dice: 1.4073, decode.d3.loss_cls: 1.1020, decode.d3.loss_mask: 0.8634, decode.d3.loss_dice: 1.3826, decode.d4.loss_cls: 1.0902, decode.d4.loss_mask: 0.8577, decode.d4.loss_dice: 1.3841, decode.d5.loss_cls: 1.0906, decode.d5.loss_mask: 0.8519, decode.d5.loss_dice: 1.3795, decode.d6.loss_cls: 1.0797, decode.d6.loss_mask: 0.8561, decode.d6.loss_dice: 1.3841, decode.d7.loss_cls: 1.0872, decode.d7.loss_mask: 0.8604, decode.d7.loss_dice: 1.3879, decode.d8.loss_cls: 1.0746, decode.d8.loss_mask: 0.8593, decode.d8.loss_dice: 1.3840, loss: 38.9407 2022-09-12 09:05:34,536 - mmseg - INFO - Iter [9400/80000] lr: 1.267e-06, eta: 1 day, 14:06:34, time: 1.856, data_time: 0.015, memory: 42763, decode.loss_cls: 1.0628, decode.loss_mask: 0.8669, decode.loss_dice: 1.3628, decode.d0.loss_cls: 6.1782, decode.d0.loss_mask: 0.8310, decode.d0.loss_dice: 1.5991, decode.d1.loss_cls: 1.1902, decode.d1.loss_mask: 0.8696, decode.d1.loss_dice: 1.4342, decode.d2.loss_cls: 1.0918, decode.d2.loss_mask: 0.8599, decode.d2.loss_dice: 1.3890, decode.d3.loss_cls: 1.0690, decode.d3.loss_mask: 0.8674, decode.d3.loss_dice: 1.3733, decode.d4.loss_cls: 1.0733, decode.d4.loss_mask: 0.8578, decode.d4.loss_dice: 1.3708, decode.d5.loss_cls: 1.0610, decode.d5.loss_mask: 0.8647, decode.d5.loss_dice: 1.3671, decode.d6.loss_cls: 1.0599, decode.d6.loss_mask: 0.8600, decode.d6.loss_dice: 1.3596, decode.d7.loss_cls: 1.0503, decode.d7.loss_mask: 0.8645, decode.d7.loss_dice: 1.3686, decode.d8.loss_cls: 1.0536, decode.d8.loss_mask: 0.8676, decode.d8.loss_dice: 1.3614, loss: 38.4854 2022-09-12 09:07:09,089 - mmseg - INFO - Iter [9450/80000] lr: 1.266e-06, eta: 1 day, 14:04:37, time: 1.891, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0615, decode.loss_mask: 0.8611, decode.loss_dice: 1.3946, decode.d0.loss_cls: 6.1851, decode.d0.loss_mask: 0.8344, decode.d0.loss_dice: 1.6380, decode.d1.loss_cls: 1.1806, decode.d1.loss_mask: 0.8780, decode.d1.loss_dice: 1.4685, decode.d2.loss_cls: 1.0817, decode.d2.loss_mask: 0.8682, decode.d2.loss_dice: 1.4213, decode.d3.loss_cls: 1.0684, decode.d3.loss_mask: 0.8604, decode.d3.loss_dice: 1.3966, decode.d4.loss_cls: 1.0658, decode.d4.loss_mask: 0.8637, decode.d4.loss_dice: 1.4042, decode.d5.loss_cls: 1.0569, decode.d5.loss_mask: 0.8608, decode.d5.loss_dice: 1.4003, decode.d6.loss_cls: 1.0608, decode.d6.loss_mask: 0.8581, decode.d6.loss_dice: 1.3899, decode.d7.loss_cls: 1.0537, decode.d7.loss_mask: 0.8558, decode.d7.loss_dice: 1.3913, decode.d8.loss_cls: 1.0526, decode.d8.loss_mask: 0.8569, decode.d8.loss_dice: 1.3902, loss: 38.7596 2022-09-12 09:08:42,950 - mmseg - INFO - Iter [9500/80000] lr: 1.265e-06, eta: 1 day, 14:02:36, time: 1.877, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0606, decode.loss_mask: 0.8606, decode.loss_dice: 1.3586, decode.d0.loss_cls: 6.1196, decode.d0.loss_mask: 0.8339, decode.d0.loss_dice: 1.5931, decode.d1.loss_cls: 1.1593, decode.d1.loss_mask: 0.8650, decode.d1.loss_dice: 1.4290, decode.d2.loss_cls: 1.0792, decode.d2.loss_mask: 0.8627, decode.d2.loss_dice: 1.3771, decode.d3.loss_cls: 1.0755, decode.d3.loss_mask: 0.8528, decode.d3.loss_dice: 1.3617, decode.d4.loss_cls: 1.0678, decode.d4.loss_mask: 0.8588, decode.d4.loss_dice: 1.3584, decode.d5.loss_cls: 1.0561, decode.d5.loss_mask: 0.8600, decode.d5.loss_dice: 1.3603, decode.d6.loss_cls: 1.0560, decode.d6.loss_mask: 0.8627, decode.d6.loss_dice: 1.3507, decode.d7.loss_cls: 1.0511, decode.d7.loss_mask: 0.8657, decode.d7.loss_dice: 1.3640, decode.d8.loss_cls: 1.0497, decode.d8.loss_mask: 0.8624, decode.d8.loss_dice: 1.3559, loss: 38.2682 2022-09-12 09:10:16,489 - mmseg - INFO - Iter [9550/80000] lr: 1.264e-06, eta: 1 day, 14:00:32, time: 1.871, data_time: 0.019, memory: 42763, decode.loss_cls: 1.0811, decode.loss_mask: 0.8574, decode.loss_dice: 1.3736, decode.d0.loss_cls: 6.1094, decode.d0.loss_mask: 0.8242, decode.d0.loss_dice: 1.6082, decode.d1.loss_cls: 1.1930, decode.d1.loss_mask: 0.8650, decode.d1.loss_dice: 1.4570, decode.d2.loss_cls: 1.1033, decode.d2.loss_mask: 0.8609, decode.d2.loss_dice: 1.3927, decode.d3.loss_cls: 1.0865, decode.d3.loss_mask: 0.8542, decode.d3.loss_dice: 1.3771, decode.d4.loss_cls: 1.0824, decode.d4.loss_mask: 0.8546, decode.d4.loss_dice: 1.3835, decode.d5.loss_cls: 1.0768, decode.d5.loss_mask: 0.8542, decode.d5.loss_dice: 1.3837, decode.d6.loss_cls: 1.0815, decode.d6.loss_mask: 0.8582, decode.d6.loss_dice: 1.3769, decode.d7.loss_cls: 1.0780, decode.d7.loss_mask: 0.8555, decode.d7.loss_dice: 1.3834, decode.d8.loss_cls: 1.0718, decode.d8.loss_mask: 0.8622, decode.d8.loss_dice: 1.3808, loss: 38.6275 2022-09-12 09:11:50,139 - mmseg - INFO - Iter [9600/80000] lr: 1.264e-06, eta: 1 day, 13:58:30, time: 1.873, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0636, decode.loss_mask: 0.8726, decode.loss_dice: 1.3735, decode.d0.loss_cls: 6.0591, decode.d0.loss_mask: 0.8498, decode.d0.loss_dice: 1.6099, decode.d1.loss_cls: 1.1791, decode.d1.loss_mask: 0.8918, decode.d1.loss_dice: 1.4404, decode.d2.loss_cls: 1.0869, decode.d2.loss_mask: 0.8765, decode.d2.loss_dice: 1.3995, decode.d3.loss_cls: 1.0632, decode.d3.loss_mask: 0.8737, decode.d3.loss_dice: 1.3847, decode.d4.loss_cls: 1.0610, decode.d4.loss_mask: 0.8735, decode.d4.loss_dice: 1.3852, decode.d5.loss_cls: 1.0616, decode.d5.loss_mask: 0.8667, decode.d5.loss_dice: 1.3786, decode.d6.loss_cls: 1.0586, decode.d6.loss_mask: 0.8688, decode.d6.loss_dice: 1.3831, decode.d7.loss_cls: 1.0640, decode.d7.loss_mask: 0.8675, decode.d7.loss_dice: 1.3770, decode.d8.loss_cls: 1.0612, decode.d8.loss_mask: 0.8701, decode.d8.loss_dice: 1.3731, loss: 38.5744 2022-09-12 09:13:22,465 - mmseg - INFO - Iter [9650/80000] lr: 1.263e-06, eta: 1 day, 13:56:18, time: 1.846, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0825, decode.loss_mask: 0.8818, decode.loss_dice: 1.3666, decode.d0.loss_cls: 6.0663, decode.d0.loss_mask: 0.8425, decode.d0.loss_dice: 1.6019, decode.d1.loss_cls: 1.2079, decode.d1.loss_mask: 0.8923, decode.d1.loss_dice: 1.4281, decode.d2.loss_cls: 1.1067, decode.d2.loss_mask: 0.8808, decode.d2.loss_dice: 1.3705, decode.d3.loss_cls: 1.0946, decode.d3.loss_mask: 0.8846, decode.d3.loss_dice: 1.3556, decode.d4.loss_cls: 1.0794, decode.d4.loss_mask: 0.8847, decode.d4.loss_dice: 1.3583, decode.d5.loss_cls: 1.0786, decode.d5.loss_mask: 0.8825, decode.d5.loss_dice: 1.3506, decode.d6.loss_cls: 1.0732, decode.d6.loss_mask: 0.8759, decode.d6.loss_dice: 1.3443, decode.d7.loss_cls: 1.0744, decode.d7.loss_mask: 0.8803, decode.d7.loss_dice: 1.3508, decode.d8.loss_cls: 1.0748, decode.d8.loss_mask: 0.8815, decode.d8.loss_dice: 1.3600, loss: 38.6118 2022-09-12 09:14:57,143 - mmseg - INFO - Iter [9700/80000] lr: 1.262e-06, eta: 1 day, 13:54:23, time: 1.894, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0554, decode.loss_mask: 0.8587, decode.loss_dice: 1.3469, decode.d0.loss_cls: 5.9914, decode.d0.loss_mask: 0.8306, decode.d0.loss_dice: 1.5808, decode.d1.loss_cls: 1.1744, decode.d1.loss_mask: 0.8757, decode.d1.loss_dice: 1.4177, decode.d2.loss_cls: 1.0723, decode.d2.loss_mask: 0.8631, decode.d2.loss_dice: 1.3742, decode.d3.loss_cls: 1.0603, decode.d3.loss_mask: 0.8624, decode.d3.loss_dice: 1.3586, decode.d4.loss_cls: 1.0569, decode.d4.loss_mask: 0.8593, decode.d4.loss_dice: 1.3609, decode.d5.loss_cls: 1.0450, decode.d5.loss_mask: 0.8627, decode.d5.loss_dice: 1.3565, decode.d6.loss_cls: 1.0558, decode.d6.loss_mask: 0.8558, decode.d6.loss_dice: 1.3577, decode.d7.loss_cls: 1.0475, decode.d7.loss_mask: 0.8525, decode.d7.loss_dice: 1.3476, decode.d8.loss_cls: 1.0478, decode.d8.loss_mask: 0.8581, decode.d8.loss_dice: 1.3517, loss: 38.0383 2022-09-12 09:16:31,379 - mmseg - INFO - Iter [9750/80000] lr: 1.261e-06, eta: 1 day, 13:52:26, time: 1.885, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0705, decode.loss_mask: 0.8486, decode.loss_dice: 1.3580, decode.d0.loss_cls: 5.9777, decode.d0.loss_mask: 0.8198, decode.d0.loss_dice: 1.6040, decode.d1.loss_cls: 1.1851, decode.d1.loss_mask: 0.8655, decode.d1.loss_dice: 1.4314, decode.d2.loss_cls: 1.0995, decode.d2.loss_mask: 0.8515, decode.d2.loss_dice: 1.3932, decode.d3.loss_cls: 1.0803, decode.d3.loss_mask: 0.8493, decode.d3.loss_dice: 1.3726, decode.d4.loss_cls: 1.0703, decode.d4.loss_mask: 0.8474, decode.d4.loss_dice: 1.3720, decode.d5.loss_cls: 1.0687, decode.d5.loss_mask: 0.8465, decode.d5.loss_dice: 1.3626, decode.d6.loss_cls: 1.0697, decode.d6.loss_mask: 0.8461, decode.d6.loss_dice: 1.3547, decode.d7.loss_cls: 1.0643, decode.d7.loss_mask: 0.8446, decode.d7.loss_dice: 1.3592, decode.d8.loss_cls: 1.0647, decode.d8.loss_mask: 0.8448, decode.d8.loss_dice: 1.3574, loss: 38.1797 2022-09-12 09:18:05,017 - mmseg - INFO - Iter [9800/80000] lr: 1.260e-06, eta: 1 day, 13:50:24, time: 1.873, data_time: 0.014, memory: 42763, decode.loss_cls: 1.0492, decode.loss_mask: 0.8591, decode.loss_dice: 1.3598, decode.d0.loss_cls: 5.9469, decode.d0.loss_mask: 0.8380, decode.d0.loss_dice: 1.6108, decode.d1.loss_cls: 1.1816, decode.d1.loss_mask: 0.8778, decode.d1.loss_dice: 1.4454, decode.d2.loss_cls: 1.0915, decode.d2.loss_mask: 0.8657, decode.d2.loss_dice: 1.3929, decode.d3.loss_cls: 1.0610, decode.d3.loss_mask: 0.8614, decode.d3.loss_dice: 1.3861, decode.d4.loss_cls: 1.0529, decode.d4.loss_mask: 0.8598, decode.d4.loss_dice: 1.3815, decode.d5.loss_cls: 1.0571, decode.d5.loss_mask: 0.8516, decode.d5.loss_dice: 1.3617, decode.d6.loss_cls: 1.0472, decode.d6.loss_mask: 0.8526, decode.d6.loss_dice: 1.3619, decode.d7.loss_cls: 1.0472, decode.d7.loss_mask: 0.8506, decode.d7.loss_dice: 1.3599, decode.d8.loss_cls: 1.0417, decode.d8.loss_mask: 0.8588, decode.d8.loss_dice: 1.3584, loss: 38.1704 2022-09-12 09:19:37,875 - mmseg - INFO - Iter [9850/80000] lr: 1.259e-06, eta: 1 day, 13:48:18, time: 1.857, data_time: 0.015, memory: 42763, decode.loss_cls: 1.0266, decode.loss_mask: 0.8510, decode.loss_dice: 1.3318, decode.d0.loss_cls: 5.8858, decode.d0.loss_mask: 0.8358, decode.d0.loss_dice: 1.5621, decode.d1.loss_cls: 1.1281, decode.d1.loss_mask: 0.8744, decode.d1.loss_dice: 1.4030, decode.d2.loss_cls: 1.0387, decode.d2.loss_mask: 0.8640, decode.d2.loss_dice: 1.3654, decode.d3.loss_cls: 1.0198, decode.d3.loss_mask: 0.8659, decode.d3.loss_dice: 1.3440, decode.d4.loss_cls: 1.0160, decode.d4.loss_mask: 0.8636, decode.d4.loss_dice: 1.3467, decode.d5.loss_cls: 1.0188, decode.d5.loss_mask: 0.8574, decode.d5.loss_dice: 1.3391, decode.d6.loss_cls: 1.0151, decode.d6.loss_mask: 0.8596, decode.d6.loss_dice: 1.3324, decode.d7.loss_cls: 1.0051, decode.d7.loss_mask: 0.8580, decode.d7.loss_dice: 1.3214, decode.d8.loss_cls: 1.0144, decode.d8.loss_mask: 0.8500, decode.d8.loss_dice: 1.3256, loss: 37.4195 2022-09-12 09:21:10,737 - mmseg - INFO - Iter [9900/80000] lr: 1.258e-06, eta: 1 day, 13:46:11, time: 1.857, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0787, decode.loss_mask: 0.8382, decode.loss_dice: 1.3857, decode.d0.loss_cls: 5.9119, decode.d0.loss_mask: 0.8207, decode.d0.loss_dice: 1.6294, decode.d1.loss_cls: 1.1847, decode.d1.loss_mask: 0.8558, decode.d1.loss_dice: 1.4599, decode.d2.loss_cls: 1.1092, decode.d2.loss_mask: 0.8414, decode.d2.loss_dice: 1.4045, decode.d3.loss_cls: 1.0862, decode.d3.loss_mask: 0.8457, decode.d3.loss_dice: 1.3985, decode.d4.loss_cls: 1.0839, decode.d4.loss_mask: 0.8373, decode.d4.loss_dice: 1.3892, decode.d5.loss_cls: 1.0738, decode.d5.loss_mask: 0.8398, decode.d5.loss_dice: 1.3887, decode.d6.loss_cls: 1.0686, decode.d6.loss_mask: 0.8362, decode.d6.loss_dice: 1.3879, decode.d7.loss_cls: 1.0722, decode.d7.loss_mask: 0.8368, decode.d7.loss_dice: 1.3892, decode.d8.loss_cls: 1.0692, decode.d8.loss_mask: 0.8394, decode.d8.loss_dice: 1.3837, loss: 38.3463 2022-09-12 09:22:43,055 - mmseg - INFO - Iter [9950/80000] lr: 1.257e-06, eta: 1 day, 13:44:01, time: 1.847, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0384, decode.loss_mask: 0.8671, decode.loss_dice: 1.3230, decode.d0.loss_cls: 5.8436, decode.d0.loss_mask: 0.8317, decode.d0.loss_dice: 1.5483, decode.d1.loss_cls: 1.1567, decode.d1.loss_mask: 0.8817, decode.d1.loss_dice: 1.3917, decode.d2.loss_cls: 1.0697, decode.d2.loss_mask: 0.8760, decode.d2.loss_dice: 1.3465, decode.d3.loss_cls: 1.0526, decode.d3.loss_mask: 0.8697, decode.d3.loss_dice: 1.3241, decode.d4.loss_cls: 1.0456, decode.d4.loss_mask: 0.8582, decode.d4.loss_dice: 1.3227, decode.d5.loss_cls: 1.0444, decode.d5.loss_mask: 0.8615, decode.d5.loss_dice: 1.3144, decode.d6.loss_cls: 1.0349, decode.d6.loss_mask: 0.8610, decode.d6.loss_dice: 1.3090, decode.d7.loss_cls: 1.0365, decode.d7.loss_mask: 0.8618, decode.d7.loss_dice: 1.3145, decode.d8.loss_cls: 1.0393, decode.d8.loss_mask: 0.8627, decode.d8.loss_dice: 1.3155, loss: 37.5029 2022-09-12 09:24:15,195 - mmseg - INFO - Saving checkpoint at 10000 iterations 2022-09-12 09:24:42,900 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 09:24:42,907 - mmseg - INFO - Iter [10000/80000] lr: 1.256e-06, eta: 1 day, 13:45:04, time: 2.395, data_time: 0.017, memory: 42763, decode.loss_cls: 1.0486, decode.loss_mask: 0.8376, decode.loss_dice: 1.3373, decode.d0.loss_cls: 5.8314, decode.d0.loss_mask: 0.8149, decode.d0.loss_dice: 1.5714, decode.d1.loss_cls: 1.1619, decode.d1.loss_mask: 0.8574, decode.d1.loss_dice: 1.4083, decode.d2.loss_cls: 1.0773, decode.d2.loss_mask: 0.8400, decode.d2.loss_dice: 1.3597, decode.d3.loss_cls: 1.0494, decode.d3.loss_mask: 0.8440, decode.d3.loss_dice: 1.3493, decode.d4.loss_cls: 1.0528, decode.d4.loss_mask: 0.8420, decode.d4.loss_dice: 1.3505, decode.d5.loss_cls: 1.0495, decode.d5.loss_mask: 0.8405, decode.d5.loss_dice: 1.3343, decode.d6.loss_cls: 1.0450, decode.d6.loss_mask: 0.8386, decode.d6.loss_dice: 1.3313, decode.d7.loss_cls: 1.0418, decode.d7.loss_mask: 0.8411, decode.d7.loss_dice: 1.3390, decode.d8.loss_cls: 1.0380, decode.d8.loss_mask: 0.8359, decode.d8.loss_dice: 1.3367, loss: 37.5056 2022-09-12 09:26:17,505 - mmseg - INFO - Iter [10050/80000] lr: 1.255e-06, eta: 1 day, 13:43:10, time: 1.894, data_time: 0.018, memory: 42763, decode.loss_cls: 1.0783, decode.loss_mask: 0.8683, decode.loss_dice: 1.3633, decode.d0.loss_cls: 5.8001, decode.d0.loss_mask: 0.8593, decode.d0.loss_dice: 1.6098, decode.d1.loss_cls: 1.1859, decode.d1.loss_mask: 0.8932, decode.d1.loss_dice: 1.4424, decode.d2.loss_cls: 1.1066, decode.d2.loss_mask: 0.8793, decode.d2.loss_dice: 1.3966, decode.d3.loss_cls: 1.0819, decode.d3.loss_mask: 0.8749, decode.d3.loss_dice: 1.3811, decode.d4.loss_cls: 1.0858, decode.d4.loss_mask: 0.8734, decode.d4.loss_dice: 1.3731, decode.d5.loss_cls: 1.0751, decode.d5.loss_mask: 0.8695, decode.d5.loss_dice: 1.3756, decode.d6.loss_cls: 1.0766, decode.d6.loss_mask: 0.8706, decode.d6.loss_dice: 1.3709, decode.d7.loss_cls: 1.0693, decode.d7.loss_mask: 0.8754, decode.d7.loss_dice: 1.3690, decode.d8.loss_cls: 1.0767, decode.d8.loss_mask: 0.8655, decode.d8.loss_dice: 1.3656, loss: 38.4131 2022-09-12 09:27:51,765 - mmseg - INFO - Iter [10100/80000] lr: 1.255e-06, eta: 1 day, 13:41:14, time: 1.885, data_time: 0.014, memory: 42763, decode.loss_cls: 1.0241, decode.loss_mask: 0.8365, decode.loss_dice: 1.3474, decode.d0.loss_cls: 5.7244, decode.d0.loss_mask: 0.8201, decode.d0.loss_dice: 1.5918, decode.d1.loss_cls: 1.1347, decode.d1.loss_mask: 0.8520, decode.d1.loss_dice: 1.4263, decode.d2.loss_cls: 1.0434, decode.d2.loss_mask: 0.8378, decode.d2.loss_dice: 1.3704, decode.d3.loss_cls: 1.0208, decode.d3.loss_mask: 0.8378, decode.d3.loss_dice: 1.3554, decode.d4.loss_cls: 1.0232, decode.d4.loss_mask: 0.8359, decode.d4.loss_dice: 1.3562, decode.d5.loss_cls: 1.0069, decode.d5.loss_mask: 0.8343, decode.d5.loss_dice: 1.3543, decode.d6.loss_cls: 1.0125, decode.d6.loss_mask: 0.8315, decode.d6.loss_dice: 1.3458, decode.d7.loss_cls: 1.0150, decode.d7.loss_mask: 0.8275, decode.d7.loss_dice: 1.3475, decode.d8.loss_cls: 1.0121, decode.d8.loss_mask: 0.8340, decode.d8.loss_dice: 1.3509, loss: 37.2107 2022-09-12 09:29:25,512 - mmseg - INFO - Iter [10150/80000] lr: 1.254e-06, eta: 1 day, 13:39:14, time: 1.875, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0566, decode.loss_mask: 0.8618, decode.loss_dice: 1.3925, decode.d0.loss_cls: 5.7354, decode.d0.loss_mask: 0.8291, decode.d0.loss_dice: 1.6270, decode.d1.loss_cls: 1.1814, decode.d1.loss_mask: 0.8847, decode.d1.loss_dice: 1.4633, decode.d2.loss_cls: 1.0774, decode.d2.loss_mask: 0.8769, decode.d2.loss_dice: 1.4183, decode.d3.loss_cls: 1.0583, decode.d3.loss_mask: 0.8669, decode.d3.loss_dice: 1.3984, decode.d4.loss_cls: 1.0647, decode.d4.loss_mask: 0.8598, decode.d4.loss_dice: 1.3865, decode.d5.loss_cls: 1.0589, decode.d5.loss_mask: 0.8584, decode.d5.loss_dice: 1.3873, decode.d6.loss_cls: 1.0476, decode.d6.loss_mask: 0.8655, decode.d6.loss_dice: 1.3751, decode.d7.loss_cls: 1.0457, decode.d7.loss_mask: 0.8672, decode.d7.loss_dice: 1.3871, decode.d8.loss_cls: 1.0508, decode.d8.loss_mask: 0.8638, decode.d8.loss_dice: 1.3903, loss: 38.2369 2022-09-12 09:30:59,662 - mmseg - INFO - Iter [10200/80000] lr: 1.253e-06, eta: 1 day, 13:37:17, time: 1.883, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0780, decode.loss_mask: 0.8108, decode.loss_dice: 1.3541, decode.d0.loss_cls: 5.7330, decode.d0.loss_mask: 0.7893, decode.d0.loss_dice: 1.5982, decode.d1.loss_cls: 1.1771, decode.d1.loss_mask: 0.8323, decode.d1.loss_dice: 1.4353, decode.d2.loss_cls: 1.0954, decode.d2.loss_mask: 0.8247, decode.d2.loss_dice: 1.3902, decode.d3.loss_cls: 1.0782, decode.d3.loss_mask: 0.8170, decode.d3.loss_dice: 1.3728, decode.d4.loss_cls: 1.0693, decode.d4.loss_mask: 0.8187, decode.d4.loss_dice: 1.3662, decode.d5.loss_cls: 1.0686, decode.d5.loss_mask: 0.8149, decode.d5.loss_dice: 1.3542, decode.d6.loss_cls: 1.0660, decode.d6.loss_mask: 0.8155, decode.d6.loss_dice: 1.3573, decode.d7.loss_cls: 1.0623, decode.d7.loss_mask: 0.8145, decode.d7.loss_dice: 1.3672, decode.d8.loss_cls: 1.0661, decode.d8.loss_mask: 0.8118, decode.d8.loss_dice: 1.3595, loss: 37.5987 2022-09-12 09:32:32,480 - mmseg - INFO - Iter [10250/80000] lr: 1.252e-06, eta: 1 day, 13:35:12, time: 1.856, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0483, decode.loss_mask: 0.8387, decode.loss_dice: 1.3386, decode.d0.loss_cls: 5.6660, decode.d0.loss_mask: 0.8224, decode.d0.loss_dice: 1.5924, decode.d1.loss_cls: 1.1622, decode.d1.loss_mask: 0.8529, decode.d1.loss_dice: 1.4107, decode.d2.loss_cls: 1.0704, decode.d2.loss_mask: 0.8464, decode.d2.loss_dice: 1.3649, decode.d3.loss_cls: 1.0560, decode.d3.loss_mask: 0.8454, decode.d3.loss_dice: 1.3502, decode.d4.loss_cls: 1.0620, decode.d4.loss_mask: 0.8298, decode.d4.loss_dice: 1.3476, decode.d5.loss_cls: 1.0550, decode.d5.loss_mask: 0.8340, decode.d5.loss_dice: 1.3370, decode.d6.loss_cls: 1.0556, decode.d6.loss_mask: 0.8354, decode.d6.loss_dice: 1.3316, decode.d7.loss_cls: 1.0532, decode.d7.loss_mask: 0.8392, decode.d7.loss_dice: 1.3425, decode.d8.loss_cls: 1.0446, decode.d8.loss_mask: 0.8371, decode.d8.loss_dice: 1.3396, loss: 37.4096 2022-09-12 09:34:06,891 - mmseg - INFO - Iter [10300/80000] lr: 1.251e-06, eta: 1 day, 13:33:17, time: 1.887, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0519, decode.loss_mask: 0.8317, decode.loss_dice: 1.3703, decode.d0.loss_cls: 5.6497, decode.d0.loss_mask: 0.8067, decode.d0.loss_dice: 1.6032, decode.d1.loss_cls: 1.1564, decode.d1.loss_mask: 0.8483, decode.d1.loss_dice: 1.4386, decode.d2.loss_cls: 1.0701, decode.d2.loss_mask: 0.8376, decode.d2.loss_dice: 1.3891, decode.d3.loss_cls: 1.0455, decode.d3.loss_mask: 0.8388, decode.d3.loss_dice: 1.3750, decode.d4.loss_cls: 1.0487, decode.d4.loss_mask: 0.8331, decode.d4.loss_dice: 1.3707, decode.d5.loss_cls: 1.0408, decode.d5.loss_mask: 0.8355, decode.d5.loss_dice: 1.3689, decode.d6.loss_cls: 1.0370, decode.d6.loss_mask: 0.8307, decode.d6.loss_dice: 1.3575, decode.d7.loss_cls: 1.0360, decode.d7.loss_mask: 0.8348, decode.d7.loss_dice: 1.3566, decode.d8.loss_cls: 1.0354, decode.d8.loss_mask: 0.8337, decode.d8.loss_dice: 1.3649, loss: 37.4974 2022-09-12 09:35:39,593 - mmseg - INFO - Iter [10350/80000] lr: 1.250e-06, eta: 1 day, 13:31:12, time: 1.855, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0513, decode.loss_mask: 0.8678, decode.loss_dice: 1.3590, decode.d0.loss_cls: 5.6178, decode.d0.loss_mask: 0.8328, decode.d0.loss_dice: 1.5852, decode.d1.loss_cls: 1.1553, decode.d1.loss_mask: 0.8809, decode.d1.loss_dice: 1.4328, decode.d2.loss_cls: 1.0702, decode.d2.loss_mask: 0.8684, decode.d2.loss_dice: 1.3799, decode.d3.loss_cls: 1.0510, decode.d3.loss_mask: 0.8732, decode.d3.loss_dice: 1.3750, decode.d4.loss_cls: 1.0570, decode.d4.loss_mask: 0.8687, decode.d4.loss_dice: 1.3629, decode.d5.loss_cls: 1.0491, decode.d5.loss_mask: 0.8621, decode.d5.loss_dice: 1.3560, decode.d6.loss_cls: 1.0537, decode.d6.loss_mask: 0.8630, decode.d6.loss_dice: 1.3561, decode.d7.loss_cls: 1.0541, decode.d7.loss_mask: 0.8623, decode.d7.loss_dice: 1.3505, decode.d8.loss_cls: 1.0496, decode.d8.loss_mask: 0.8622, decode.d8.loss_dice: 1.3539, loss: 37.7616 2022-09-12 09:37:13,796 - mmseg - INFO - Iter [10400/80000] lr: 1.249e-06, eta: 1 day, 13:29:15, time: 1.882, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0556, decode.loss_mask: 0.8719, decode.loss_dice: 1.3591, decode.d0.loss_cls: 5.5887, decode.d0.loss_mask: 0.8561, decode.d0.loss_dice: 1.5958, decode.d1.loss_cls: 1.1693, decode.d1.loss_mask: 0.8908, decode.d1.loss_dice: 1.4342, decode.d2.loss_cls: 1.0903, decode.d2.loss_mask: 0.8757, decode.d2.loss_dice: 1.3809, decode.d3.loss_cls: 1.0686, decode.d3.loss_mask: 0.8724, decode.d3.loss_dice: 1.3706, decode.d4.loss_cls: 1.0685, decode.d4.loss_mask: 0.8696, decode.d4.loss_dice: 1.3648, decode.d5.loss_cls: 1.0554, decode.d5.loss_mask: 0.8739, decode.d5.loss_dice: 1.3607, decode.d6.loss_cls: 1.0526, decode.d6.loss_mask: 0.8759, decode.d6.loss_dice: 1.3533, decode.d7.loss_cls: 1.0522, decode.d7.loss_mask: 0.8688, decode.d7.loss_dice: 1.3504, decode.d8.loss_cls: 1.0525, decode.d8.loss_mask: 0.8732, decode.d8.loss_dice: 1.3488, loss: 37.9006 2022-09-12 09:38:48,436 - mmseg - INFO - Iter [10450/80000] lr: 1.248e-06, eta: 1 day, 13:27:24, time: 1.895, data_time: 0.017, memory: 42763, decode.loss_cls: 1.0325, decode.loss_mask: 0.8572, decode.loss_dice: 1.3638, decode.d0.loss_cls: 5.5327, decode.d0.loss_mask: 0.8362, decode.d0.loss_dice: 1.6021, decode.d1.loss_cls: 1.1418, decode.d1.loss_mask: 0.8703, decode.d1.loss_dice: 1.4409, decode.d2.loss_cls: 1.0545, decode.d2.loss_mask: 0.8563, decode.d2.loss_dice: 1.3915, decode.d3.loss_cls: 1.0395, decode.d3.loss_mask: 0.8562, decode.d3.loss_dice: 1.3730, decode.d4.loss_cls: 1.0337, decode.d4.loss_mask: 0.8530, decode.d4.loss_dice: 1.3689, decode.d5.loss_cls: 1.0207, decode.d5.loss_mask: 0.8588, decode.d5.loss_dice: 1.3611, decode.d6.loss_cls: 1.0193, decode.d6.loss_mask: 0.8592, decode.d6.loss_dice: 1.3586, decode.d7.loss_cls: 1.0259, decode.d7.loss_mask: 0.8595, decode.d7.loss_dice: 1.3642, decode.d8.loss_cls: 1.0217, decode.d8.loss_mask: 0.8604, decode.d8.loss_dice: 1.3675, loss: 37.4812 2022-09-12 09:40:21,798 - mmseg - INFO - Iter [10500/80000] lr: 1.247e-06, eta: 1 day, 13:25:23, time: 1.866, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0554, decode.loss_mask: 0.8719, decode.loss_dice: 1.3649, decode.d0.loss_cls: 5.5248, decode.d0.loss_mask: 0.8633, decode.d0.loss_dice: 1.6038, decode.d1.loss_cls: 1.1648, decode.d1.loss_mask: 0.8939, decode.d1.loss_dice: 1.4419, decode.d2.loss_cls: 1.0839, decode.d2.loss_mask: 0.8805, decode.d2.loss_dice: 1.3942, decode.d3.loss_cls: 1.0598, decode.d3.loss_mask: 0.8798, decode.d3.loss_dice: 1.3697, decode.d4.loss_cls: 1.0488, decode.d4.loss_mask: 0.8814, decode.d4.loss_dice: 1.3751, decode.d5.loss_cls: 1.0490, decode.d5.loss_mask: 0.8722, decode.d5.loss_dice: 1.3662, decode.d6.loss_cls: 1.0455, decode.d6.loss_mask: 0.8709, decode.d6.loss_dice: 1.3580, decode.d7.loss_cls: 1.0426, decode.d7.loss_mask: 0.8673, decode.d7.loss_dice: 1.3606, decode.d8.loss_cls: 1.0439, decode.d8.loss_mask: 0.8680, decode.d8.loss_dice: 1.3638, loss: 37.8659 2022-09-12 09:41:55,792 - mmseg - INFO - Iter [10550/80000] lr: 1.246e-06, eta: 1 day, 13:23:27, time: 1.882, data_time: 0.017, memory: 42763, decode.loss_cls: 1.0291, decode.loss_mask: 0.8427, decode.loss_dice: 1.3266, decode.d0.loss_cls: 5.4740, decode.d0.loss_mask: 0.8199, decode.d0.loss_dice: 1.5694, decode.d1.loss_cls: 1.1392, decode.d1.loss_mask: 0.8538, decode.d1.loss_dice: 1.4000, decode.d2.loss_cls: 1.0570, decode.d2.loss_mask: 0.8455, decode.d2.loss_dice: 1.3473, decode.d3.loss_cls: 1.0465, decode.d3.loss_mask: 0.8361, decode.d3.loss_dice: 1.3288, decode.d4.loss_cls: 1.0358, decode.d4.loss_mask: 0.8381, decode.d4.loss_dice: 1.3258, decode.d5.loss_cls: 1.0339, decode.d5.loss_mask: 0.8335, decode.d5.loss_dice: 1.3264, decode.d6.loss_cls: 1.0336, decode.d6.loss_mask: 0.8394, decode.d6.loss_dice: 1.3207, decode.d7.loss_cls: 1.0275, decode.d7.loss_mask: 0.8412, decode.d7.loss_dice: 1.3223, decode.d8.loss_cls: 1.0240, decode.d8.loss_mask: 0.8434, decode.d8.loss_dice: 1.3255, loss: 36.8871 2022-09-12 09:43:28,679 - mmseg - INFO - Iter [10600/80000] lr: 1.246e-06, eta: 1 day, 13:21:24, time: 1.858, data_time: 0.017, memory: 42763, decode.loss_cls: 1.0366, decode.loss_mask: 0.8749, decode.loss_dice: 1.3829, decode.d0.loss_cls: 5.4642, decode.d0.loss_mask: 0.8487, decode.d0.loss_dice: 1.6142, decode.d1.loss_cls: 1.1649, decode.d1.loss_mask: 0.8964, decode.d1.loss_dice: 1.4621, decode.d2.loss_cls: 1.0723, decode.d2.loss_mask: 0.8850, decode.d2.loss_dice: 1.4124, decode.d3.loss_cls: 1.0504, decode.d3.loss_mask: 0.8847, decode.d3.loss_dice: 1.3906, decode.d4.loss_cls: 1.0509, decode.d4.loss_mask: 0.8752, decode.d4.loss_dice: 1.3992, decode.d5.loss_cls: 1.0495, decode.d5.loss_mask: 0.8802, decode.d5.loss_dice: 1.3876, decode.d6.loss_cls: 1.0458, decode.d6.loss_mask: 0.8752, decode.d6.loss_dice: 1.3946, decode.d7.loss_cls: 1.0346, decode.d7.loss_mask: 0.8812, decode.d7.loss_dice: 1.3939, decode.d8.loss_cls: 1.0257, decode.d8.loss_mask: 0.8811, decode.d8.loss_dice: 1.3912, loss: 38.0063 2022-09-12 09:45:04,024 - mmseg - INFO - Iter [10650/80000] lr: 1.245e-06, eta: 1 day, 13:19:37, time: 1.907, data_time: 0.017, memory: 42763, decode.loss_cls: 1.0325, decode.loss_mask: 0.8461, decode.loss_dice: 1.3448, decode.d0.loss_cls: 5.4311, decode.d0.loss_mask: 0.8257, decode.d0.loss_dice: 1.5832, decode.d1.loss_cls: 1.1491, decode.d1.loss_mask: 0.8521, decode.d1.loss_dice: 1.4145, decode.d2.loss_cls: 1.0681, decode.d2.loss_mask: 0.8499, decode.d2.loss_dice: 1.3549, decode.d3.loss_cls: 1.0459, decode.d3.loss_mask: 0.8511, decode.d3.loss_dice: 1.3514, decode.d4.loss_cls: 1.0473, decode.d4.loss_mask: 0.8461, decode.d4.loss_dice: 1.3461, decode.d5.loss_cls: 1.0348, decode.d5.loss_mask: 0.8494, decode.d5.loss_dice: 1.3409, decode.d6.loss_cls: 1.0350, decode.d6.loss_mask: 0.8447, decode.d6.loss_dice: 1.3383, decode.d7.loss_cls: 1.0294, decode.d7.loss_mask: 0.8455, decode.d7.loss_dice: 1.3370, decode.d8.loss_cls: 1.0261, decode.d8.loss_mask: 0.8430, decode.d8.loss_dice: 1.3426, loss: 37.1064 2022-09-12 09:46:38,321 - mmseg - INFO - Iter [10700/80000] lr: 1.244e-06, eta: 1 day, 13:17:43, time: 1.886, data_time: 0.017, memory: 42763, decode.loss_cls: 1.0431, decode.loss_mask: 0.8912, decode.loss_dice: 1.3155, decode.d0.loss_cls: 5.3833, decode.d0.loss_mask: 0.8671, decode.d0.loss_dice: 1.5529, decode.d1.loss_cls: 1.1380, decode.d1.loss_mask: 0.9032, decode.d1.loss_dice: 1.3917, decode.d2.loss_cls: 1.0546, decode.d2.loss_mask: 0.8967, decode.d2.loss_dice: 1.3453, decode.d3.loss_cls: 1.0448, decode.d3.loss_mask: 0.8872, decode.d3.loss_dice: 1.3315, decode.d4.loss_cls: 1.0444, decode.d4.loss_mask: 0.8819, decode.d4.loss_dice: 1.3231, decode.d5.loss_cls: 1.0415, decode.d5.loss_mask: 0.8812, decode.d5.loss_dice: 1.3164, decode.d6.loss_cls: 1.0325, decode.d6.loss_mask: 0.8860, decode.d6.loss_dice: 1.3140, decode.d7.loss_cls: 1.0345, decode.d7.loss_mask: 0.8860, decode.d7.loss_dice: 1.3175, decode.d8.loss_cls: 1.0271, decode.d8.loss_mask: 0.8913, decode.d8.loss_dice: 1.3179, loss: 37.2414 2022-09-12 09:48:12,317 - mmseg - INFO - Iter [10750/80000] lr: 1.243e-06, eta: 1 day, 13:15:48, time: 1.880, data_time: 0.017, memory: 42763, decode.loss_cls: 1.0293, decode.loss_mask: 0.8532, decode.loss_dice: 1.3203, decode.d0.loss_cls: 5.3618, decode.d0.loss_mask: 0.8445, decode.d0.loss_dice: 1.5481, decode.d1.loss_cls: 1.1288, decode.d1.loss_mask: 0.8767, decode.d1.loss_dice: 1.3887, decode.d2.loss_cls: 1.0447, decode.d2.loss_mask: 0.8744, decode.d2.loss_dice: 1.3498, decode.d3.loss_cls: 1.0243, decode.d3.loss_mask: 0.8674, decode.d3.loss_dice: 1.3309, decode.d4.loss_cls: 1.0259, decode.d4.loss_mask: 0.8651, decode.d4.loss_dice: 1.3238, decode.d5.loss_cls: 1.0206, decode.d5.loss_mask: 0.8632, decode.d5.loss_dice: 1.3184, decode.d6.loss_cls: 1.0249, decode.d6.loss_mask: 0.8506, decode.d6.loss_dice: 1.3189, decode.d7.loss_cls: 1.0154, decode.d7.loss_mask: 0.8552, decode.d7.loss_dice: 1.3154, decode.d8.loss_cls: 1.0180, decode.d8.loss_mask: 0.8591, decode.d8.loss_dice: 1.3175, loss: 36.8348 2022-09-12 09:49:46,768 - mmseg - INFO - Iter [10800/80000] lr: 1.242e-06, eta: 1 day, 13:13:55, time: 1.889, data_time: 0.017, memory: 42763, decode.loss_cls: 1.0315, decode.loss_mask: 0.8628, decode.loss_dice: 1.3808, decode.d0.loss_cls: 5.3395, decode.d0.loss_mask: 0.8364, decode.d0.loss_dice: 1.6147, decode.d1.loss_cls: 1.1487, decode.d1.loss_mask: 0.8769, decode.d1.loss_dice: 1.4546, decode.d2.loss_cls: 1.0580, decode.d2.loss_mask: 0.8639, decode.d2.loss_dice: 1.4017, decode.d3.loss_cls: 1.0406, decode.d3.loss_mask: 0.8675, decode.d3.loss_dice: 1.3865, decode.d4.loss_cls: 1.0368, decode.d4.loss_mask: 0.8652, decode.d4.loss_dice: 1.3896, decode.d5.loss_cls: 1.0255, decode.d5.loss_mask: 0.8671, decode.d5.loss_dice: 1.3858, decode.d6.loss_cls: 1.0205, decode.d6.loss_mask: 0.8638, decode.d6.loss_dice: 1.3839, decode.d7.loss_cls: 1.0256, decode.d7.loss_mask: 0.8667, decode.d7.loss_dice: 1.3854, decode.d8.loss_cls: 1.0206, decode.d8.loss_mask: 0.8727, decode.d8.loss_dice: 1.3861, loss: 37.5593 2022-09-12 09:51:21,632 - mmseg - INFO - Iter [10850/80000] lr: 1.241e-06, eta: 1 day, 13:12:06, time: 1.897, data_time: 0.015, memory: 42763, decode.loss_cls: 1.0106, decode.loss_mask: 0.8815, decode.loss_dice: 1.3728, decode.d0.loss_cls: 5.3026, decode.d0.loss_mask: 0.8415, decode.d0.loss_dice: 1.5885, decode.d1.loss_cls: 1.1177, decode.d1.loss_mask: 0.8895, decode.d1.loss_dice: 1.4295, decode.d2.loss_cls: 1.0338, decode.d2.loss_mask: 0.8790, decode.d2.loss_dice: 1.3878, decode.d3.loss_cls: 1.0210, decode.d3.loss_mask: 0.8783, decode.d3.loss_dice: 1.3742, decode.d4.loss_cls: 1.0188, decode.d4.loss_mask: 0.8756, decode.d4.loss_dice: 1.3768, decode.d5.loss_cls: 1.0106, decode.d5.loss_mask: 0.8784, decode.d5.loss_dice: 1.3793, decode.d6.loss_cls: 1.0084, decode.d6.loss_mask: 0.8831, decode.d6.loss_dice: 1.3723, decode.d7.loss_cls: 1.0100, decode.d7.loss_mask: 0.8779, decode.d7.loss_dice: 1.3692, decode.d8.loss_cls: 1.0101, decode.d8.loss_mask: 0.8792, decode.d8.loss_dice: 1.3699, loss: 37.3281 2022-09-12 09:52:54,566 - mmseg - INFO - Iter [10900/80000] lr: 1.240e-06, eta: 1 day, 13:10:04, time: 1.859, data_time: 0.015, memory: 42763, decode.loss_cls: 1.0217, decode.loss_mask: 0.8557, decode.loss_dice: 1.3062, decode.d0.loss_cls: 5.2498, decode.d0.loss_mask: 0.8315, decode.d0.loss_dice: 1.5354, decode.d1.loss_cls: 1.1137, decode.d1.loss_mask: 0.8705, decode.d1.loss_dice: 1.3800, decode.d2.loss_cls: 1.0373, decode.d2.loss_mask: 0.8658, decode.d2.loss_dice: 1.3326, decode.d3.loss_cls: 1.0192, decode.d3.loss_mask: 0.8600, decode.d3.loss_dice: 1.3168, decode.d4.loss_cls: 1.0274, decode.d4.loss_mask: 0.8507, decode.d4.loss_dice: 1.3152, decode.d5.loss_cls: 1.0219, decode.d5.loss_mask: 0.8527, decode.d5.loss_dice: 1.3117, decode.d6.loss_cls: 1.0164, decode.d6.loss_mask: 0.8538, decode.d6.loss_dice: 1.3019, decode.d7.loss_cls: 1.0117, decode.d7.loss_mask: 0.8542, decode.d7.loss_dice: 1.3004, decode.d8.loss_cls: 1.0184, decode.d8.loss_mask: 0.8481, decode.d8.loss_dice: 1.3050, loss: 36.4858 2022-09-12 09:54:28,489 - mmseg - INFO - Iter [10950/80000] lr: 1.239e-06, eta: 1 day, 13:08:09, time: 1.878, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0391, decode.loss_mask: 0.8540, decode.loss_dice: 1.3467, decode.d0.loss_cls: 5.2191, decode.d0.loss_mask: 0.8298, decode.d0.loss_dice: 1.5880, decode.d1.loss_cls: 1.1436, decode.d1.loss_mask: 0.8581, decode.d1.loss_dice: 1.4148, decode.d2.loss_cls: 1.0628, decode.d2.loss_mask: 0.8543, decode.d2.loss_dice: 1.3750, decode.d3.loss_cls: 1.0548, decode.d3.loss_mask: 0.8517, decode.d3.loss_dice: 1.3571, decode.d4.loss_cls: 1.0469, decode.d4.loss_mask: 0.8483, decode.d4.loss_dice: 1.3535, decode.d5.loss_cls: 1.0435, decode.d5.loss_mask: 0.8439, decode.d5.loss_dice: 1.3468, decode.d6.loss_cls: 1.0432, decode.d6.loss_mask: 0.8435, decode.d6.loss_dice: 1.3387, decode.d7.loss_cls: 1.0380, decode.d7.loss_mask: 0.8495, decode.d7.loss_dice: 1.3510, decode.d8.loss_cls: 1.0478, decode.d8.loss_mask: 0.8504, decode.d8.loss_dice: 1.3462, loss: 37.0402 2022-09-12 09:56:01,805 - mmseg - INFO - Saving checkpoint at 11000 iterations 2022-09-12 09:56:29,229 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 09:56:29,233 - mmseg - INFO - Iter [11000/80000] lr: 1.238e-06, eta: 1 day, 13:09:02, time: 2.413, data_time: 0.015, memory: 42763, decode.loss_cls: 1.0478, decode.loss_mask: 0.8685, decode.loss_dice: 1.3634, decode.d0.loss_cls: 5.1978, decode.d0.loss_mask: 0.8449, decode.d0.loss_dice: 1.5986, decode.d1.loss_cls: 1.1462, decode.d1.loss_mask: 0.8884, decode.d1.loss_dice: 1.4209, decode.d2.loss_cls: 1.0753, decode.d2.loss_mask: 0.8750, decode.d2.loss_dice: 1.3729, decode.d3.loss_cls: 1.0523, decode.d3.loss_mask: 0.8687, decode.d3.loss_dice: 1.3517, decode.d4.loss_cls: 1.0443, decode.d4.loss_mask: 0.8699, decode.d4.loss_dice: 1.3624, decode.d5.loss_cls: 1.0432, decode.d5.loss_mask: 0.8741, decode.d5.loss_dice: 1.3574, decode.d6.loss_cls: 1.0374, decode.d6.loss_mask: 0.8697, decode.d6.loss_dice: 1.3545, decode.d7.loss_cls: 1.0346, decode.d7.loss_mask: 0.8730, decode.d7.loss_dice: 1.3583, decode.d8.loss_cls: 1.0344, decode.d8.loss_mask: 0.8748, decode.d8.loss_dice: 1.3626, loss: 37.3230 2022-09-12 09:58:02,998 - mmseg - INFO - Iter [11050/80000] lr: 1.237e-06, eta: 1 day, 13:07:06, time: 1.877, data_time: 0.020, memory: 42763, decode.loss_cls: 1.0341, decode.loss_mask: 0.8521, decode.loss_dice: 1.3786, decode.d0.loss_cls: 5.2058, decode.d0.loss_mask: 0.8236, decode.d0.loss_dice: 1.6080, decode.d1.loss_cls: 1.1354, decode.d1.loss_mask: 0.8680, decode.d1.loss_dice: 1.4523, decode.d2.loss_cls: 1.0613, decode.d2.loss_mask: 0.8480, decode.d2.loss_dice: 1.3990, decode.d3.loss_cls: 1.0415, decode.d3.loss_mask: 0.8491, decode.d3.loss_dice: 1.3844, decode.d4.loss_cls: 1.0333, decode.d4.loss_mask: 0.8467, decode.d4.loss_dice: 1.3815, decode.d5.loss_cls: 1.0327, decode.d5.loss_mask: 0.8472, decode.d5.loss_dice: 1.3827, decode.d6.loss_cls: 1.0227, decode.d6.loss_mask: 0.8554, decode.d6.loss_dice: 1.3728, decode.d7.loss_cls: 1.0268, decode.d7.loss_mask: 0.8494, decode.d7.loss_dice: 1.3841, decode.d8.loss_cls: 1.0223, decode.d8.loss_mask: 0.8440, decode.d8.loss_dice: 1.3773, loss: 37.2198 2022-09-12 09:59:37,081 - mmseg - INFO - Iter [11100/80000] lr: 1.237e-06, eta: 1 day, 13:05:12, time: 1.882, data_time: 0.015, memory: 42763, decode.loss_cls: 1.0230, decode.loss_mask: 0.8444, decode.loss_dice: 1.3445, decode.d0.loss_cls: 5.1498, decode.d0.loss_mask: 0.8195, decode.d0.loss_dice: 1.5611, decode.d1.loss_cls: 1.1178, decode.d1.loss_mask: 0.8585, decode.d1.loss_dice: 1.4167, decode.d2.loss_cls: 1.0376, decode.d2.loss_mask: 0.8549, decode.d2.loss_dice: 1.3751, decode.d3.loss_cls: 1.0340, decode.d3.loss_mask: 0.8494, decode.d3.loss_dice: 1.3525, decode.d4.loss_cls: 1.0160, decode.d4.loss_mask: 0.8459, decode.d4.loss_dice: 1.3457, decode.d5.loss_cls: 1.0125, decode.d5.loss_mask: 0.8436, decode.d5.loss_dice: 1.3427, decode.d6.loss_cls: 1.0148, decode.d6.loss_mask: 0.8518, decode.d6.loss_dice: 1.3422, decode.d7.loss_cls: 1.0057, decode.d7.loss_mask: 0.8484, decode.d7.loss_dice: 1.3436, decode.d8.loss_cls: 1.0161, decode.d8.loss_mask: 0.8445, decode.d8.loss_dice: 1.3389, loss: 36.6511 2022-09-12 10:01:11,200 - mmseg - INFO - Iter [11150/80000] lr: 1.236e-06, eta: 1 day, 13:03:18, time: 1.882, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0400, decode.loss_mask: 0.8686, decode.loss_dice: 1.3556, decode.d0.loss_cls: 5.1224, decode.d0.loss_mask: 0.8322, decode.d0.loss_dice: 1.5796, decode.d1.loss_cls: 1.1510, decode.d1.loss_mask: 0.8750, decode.d1.loss_dice: 1.4232, decode.d2.loss_cls: 1.0686, decode.d2.loss_mask: 0.8571, decode.d2.loss_dice: 1.3665, decode.d3.loss_cls: 1.0542, decode.d3.loss_mask: 0.8590, decode.d3.loss_dice: 1.3579, decode.d4.loss_cls: 1.0474, decode.d4.loss_mask: 0.8618, decode.d4.loss_dice: 1.3632, decode.d5.loss_cls: 1.0360, decode.d5.loss_mask: 0.8673, decode.d5.loss_dice: 1.3623, decode.d6.loss_cls: 1.0357, decode.d6.loss_mask: 0.8663, decode.d6.loss_dice: 1.3487, decode.d7.loss_cls: 1.0321, decode.d7.loss_mask: 0.8685, decode.d7.loss_dice: 1.3499, decode.d8.loss_cls: 1.0282, decode.d8.loss_mask: 0.8669, decode.d8.loss_dice: 1.3508, loss: 37.0958 2022-09-12 10:02:43,955 - mmseg - INFO - Iter [11200/80000] lr: 1.235e-06, eta: 1 day, 13:01:15, time: 1.855, data_time: 0.015, memory: 42763, decode.loss_cls: 1.0067, decode.loss_mask: 0.8434, decode.loss_dice: 1.3187, decode.d0.loss_cls: 5.0763, decode.d0.loss_mask: 0.8184, decode.d0.loss_dice: 1.5479, decode.d1.loss_cls: 1.0977, decode.d1.loss_mask: 0.8569, decode.d1.loss_dice: 1.3994, decode.d2.loss_cls: 1.0237, decode.d2.loss_mask: 0.8514, decode.d2.loss_dice: 1.3500, decode.d3.loss_cls: 1.0066, decode.d3.loss_mask: 0.8440, decode.d3.loss_dice: 1.3320, decode.d4.loss_cls: 1.0025, decode.d4.loss_mask: 0.8493, decode.d4.loss_dice: 1.3288, decode.d5.loss_cls: 1.0062, decode.d5.loss_mask: 0.8411, decode.d5.loss_dice: 1.3212, decode.d6.loss_cls: 1.0054, decode.d6.loss_mask: 0.8393, decode.d6.loss_dice: 1.3170, decode.d7.loss_cls: 1.0011, decode.d7.loss_mask: 0.8428, decode.d7.loss_dice: 1.3267, decode.d8.loss_cls: 0.9980, decode.d8.loss_mask: 0.8388, decode.d8.loss_dice: 1.3225, loss: 36.2140 2022-09-12 10:04:18,379 - mmseg - INFO - Iter [11250/80000] lr: 1.234e-06, eta: 1 day, 12:59:24, time: 1.888, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0334, decode.loss_mask: 0.8697, decode.loss_dice: 1.3242, decode.d0.loss_cls: 5.0637, decode.d0.loss_mask: 0.8530, decode.d0.loss_dice: 1.5592, decode.d1.loss_cls: 1.1226, decode.d1.loss_mask: 0.8985, decode.d1.loss_dice: 1.4010, decode.d2.loss_cls: 1.0478, decode.d2.loss_mask: 0.8854, decode.d2.loss_dice: 1.3547, decode.d3.loss_cls: 1.0359, decode.d3.loss_mask: 0.8774, decode.d3.loss_dice: 1.3345, decode.d4.loss_cls: 1.0414, decode.d4.loss_mask: 0.8732, decode.d4.loss_dice: 1.3296, decode.d5.loss_cls: 1.0354, decode.d5.loss_mask: 0.8756, decode.d5.loss_dice: 1.3184, decode.d6.loss_cls: 1.0250, decode.d6.loss_mask: 0.8711, decode.d6.loss_dice: 1.3207, decode.d7.loss_cls: 1.0207, decode.d7.loss_mask: 0.8722, decode.d7.loss_dice: 1.3247, decode.d8.loss_cls: 1.0176, decode.d8.loss_mask: 0.8774, decode.d8.loss_dice: 1.3310, loss: 36.7949 2022-09-12 10:05:52,488 - mmseg - INFO - Iter [11300/80000] lr: 1.233e-06, eta: 1 day, 12:57:30, time: 1.882, data_time: 0.017, memory: 42763, decode.loss_cls: 1.0658, decode.loss_mask: 0.8557, decode.loss_dice: 1.3517, decode.d0.loss_cls: 5.0670, decode.d0.loss_mask: 0.8387, decode.d0.loss_dice: 1.6052, decode.d1.loss_cls: 1.1731, decode.d1.loss_mask: 0.8646, decode.d1.loss_dice: 1.4260, decode.d2.loss_cls: 1.0903, decode.d2.loss_mask: 0.8522, decode.d2.loss_dice: 1.3752, decode.d3.loss_cls: 1.0718, decode.d3.loss_mask: 0.8509, decode.d3.loss_dice: 1.3634, decode.d4.loss_cls: 1.0681, decode.d4.loss_mask: 0.8529, decode.d4.loss_dice: 1.3636, decode.d5.loss_cls: 1.0535, decode.d5.loss_mask: 0.8535, decode.d5.loss_dice: 1.3575, decode.d6.loss_cls: 1.0638, decode.d6.loss_mask: 0.8467, decode.d6.loss_dice: 1.3428, decode.d7.loss_cls: 1.0567, decode.d7.loss_mask: 0.8521, decode.d7.loss_dice: 1.3471, decode.d8.loss_cls: 1.0524, decode.d8.loss_mask: 0.8545, decode.d8.loss_dice: 1.3494, loss: 37.1664 2022-09-12 10:07:25,981 - mmseg - INFO - Iter [11350/80000] lr: 1.232e-06, eta: 1 day, 12:55:33, time: 1.870, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0447, decode.loss_mask: 0.8296, decode.loss_dice: 1.3294, decode.d0.loss_cls: 5.0346, decode.d0.loss_mask: 0.8170, decode.d0.loss_dice: 1.5774, decode.d1.loss_cls: 1.1547, decode.d1.loss_mask: 0.8509, decode.d1.loss_dice: 1.4106, decode.d2.loss_cls: 1.0671, decode.d2.loss_mask: 0.8393, decode.d2.loss_dice: 1.3580, decode.d3.loss_cls: 1.0561, decode.d3.loss_mask: 0.8349, decode.d3.loss_dice: 1.3425, decode.d4.loss_cls: 1.0441, decode.d4.loss_mask: 0.8366, decode.d4.loss_dice: 1.3440, decode.d5.loss_cls: 1.0374, decode.d5.loss_mask: 0.8321, decode.d5.loss_dice: 1.3356, decode.d6.loss_cls: 1.0412, decode.d6.loss_mask: 0.8343, decode.d6.loss_dice: 1.3304, decode.d7.loss_cls: 1.0387, decode.d7.loss_mask: 0.8319, decode.d7.loss_dice: 1.3259, decode.d8.loss_cls: 1.0418, decode.d8.loss_mask: 0.8284, decode.d8.loss_dice: 1.3223, loss: 36.5715 2022-09-12 10:08:59,041 - mmseg - INFO - Iter [11400/80000] lr: 1.231e-06, eta: 1 day, 12:53:34, time: 1.861, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9796, decode.loss_mask: 0.8294, decode.loss_dice: 1.3090, decode.d0.loss_cls: 4.9633, decode.d0.loss_mask: 0.8030, decode.d0.loss_dice: 1.5370, decode.d1.loss_cls: 1.0756, decode.d1.loss_mask: 0.8516, decode.d1.loss_dice: 1.3671, decode.d2.loss_cls: 0.9981, decode.d2.loss_mask: 0.8387, decode.d2.loss_dice: 1.3264, decode.d3.loss_cls: 0.9845, decode.d3.loss_mask: 0.8328, decode.d3.loss_dice: 1.3089, decode.d4.loss_cls: 0.9920, decode.d4.loss_mask: 0.8279, decode.d4.loss_dice: 1.3122, decode.d5.loss_cls: 0.9859, decode.d5.loss_mask: 0.8303, decode.d5.loss_dice: 1.3108, decode.d6.loss_cls: 0.9770, decode.d6.loss_mask: 0.8296, decode.d6.loss_dice: 1.3052, decode.d7.loss_cls: 0.9813, decode.d7.loss_mask: 0.8292, decode.d7.loss_dice: 1.3039, decode.d8.loss_cls: 0.9761, decode.d8.loss_mask: 0.8295, decode.d8.loss_dice: 1.3092, loss: 35.6053 2022-09-12 10:10:34,047 - mmseg - INFO - Iter [11450/80000] lr: 1.230e-06, eta: 1 day, 12:51:46, time: 1.900, data_time: 0.019, memory: 42763, decode.loss_cls: 1.0262, decode.loss_mask: 0.8272, decode.loss_dice: 1.3578, decode.d0.loss_cls: 4.9989, decode.d0.loss_mask: 0.8126, decode.d0.loss_dice: 1.5932, decode.d1.loss_cls: 1.1314, decode.d1.loss_mask: 0.8473, decode.d1.loss_dice: 1.4363, decode.d2.loss_cls: 1.0447, decode.d2.loss_mask: 0.8329, decode.d2.loss_dice: 1.3827, decode.d3.loss_cls: 1.0365, decode.d3.loss_mask: 0.8289, decode.d3.loss_dice: 1.3657, decode.d4.loss_cls: 1.0341, decode.d4.loss_mask: 0.8276, decode.d4.loss_dice: 1.3572, decode.d5.loss_cls: 1.0237, decode.d5.loss_mask: 0.8293, decode.d5.loss_dice: 1.3497, decode.d6.loss_cls: 1.0239, decode.d6.loss_mask: 0.8307, decode.d6.loss_dice: 1.3457, decode.d7.loss_cls: 1.0204, decode.d7.loss_mask: 0.8266, decode.d7.loss_dice: 1.3459, decode.d8.loss_cls: 1.0234, decode.d8.loss_mask: 0.8285, decode.d8.loss_dice: 1.3553, loss: 36.5442 2022-09-12 10:12:07,418 - mmseg - INFO - Iter [11500/80000] lr: 1.229e-06, eta: 1 day, 12:49:49, time: 1.867, data_time: 0.018, memory: 42763, decode.loss_cls: 1.0114, decode.loss_mask: 0.8579, decode.loss_dice: 1.3341, decode.d0.loss_cls: 4.9261, decode.d0.loss_mask: 0.8284, decode.d0.loss_dice: 1.5726, decode.d1.loss_cls: 1.0982, decode.d1.loss_mask: 0.8693, decode.d1.loss_dice: 1.4178, decode.d2.loss_cls: 1.0241, decode.d2.loss_mask: 0.8601, decode.d2.loss_dice: 1.3668, decode.d3.loss_cls: 1.0131, decode.d3.loss_mask: 0.8557, decode.d3.loss_dice: 1.3528, decode.d4.loss_cls: 1.0115, decode.d4.loss_mask: 0.8532, decode.d4.loss_dice: 1.3510, decode.d5.loss_cls: 1.0090, decode.d5.loss_mask: 0.8463, decode.d5.loss_dice: 1.3432, decode.d6.loss_cls: 0.9948, decode.d6.loss_mask: 0.8561, decode.d6.loss_dice: 1.3427, decode.d7.loss_cls: 1.0031, decode.d7.loss_mask: 0.8553, decode.d7.loss_dice: 1.3414, decode.d8.loss_cls: 1.0038, decode.d8.loss_mask: 0.8503, decode.d8.loss_dice: 1.3376, loss: 36.3880 2022-09-12 10:13:40,935 - mmseg - INFO - Iter [11550/80000] lr: 1.229e-06, eta: 1 day, 12:47:53, time: 1.870, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0377, decode.loss_mask: 0.8451, decode.loss_dice: 1.3516, decode.d0.loss_cls: 4.9074, decode.d0.loss_mask: 0.8233, decode.d0.loss_dice: 1.5910, decode.d1.loss_cls: 1.1473, decode.d1.loss_mask: 0.8623, decode.d1.loss_dice: 1.4281, decode.d2.loss_cls: 1.0662, decode.d2.loss_mask: 0.8524, decode.d2.loss_dice: 1.3809, decode.d3.loss_cls: 1.0609, decode.d3.loss_mask: 0.8508, decode.d3.loss_dice: 1.3640, decode.d4.loss_cls: 1.0426, decode.d4.loss_mask: 0.8521, decode.d4.loss_dice: 1.3617, decode.d5.loss_cls: 1.0363, decode.d5.loss_mask: 0.8475, decode.d5.loss_dice: 1.3496, decode.d6.loss_cls: 1.0305, decode.d6.loss_mask: 0.8469, decode.d6.loss_dice: 1.3456, decode.d7.loss_cls: 1.0362, decode.d7.loss_mask: 0.8437, decode.d7.loss_dice: 1.3477, decode.d8.loss_cls: 1.0357, decode.d8.loss_mask: 0.8417, decode.d8.loss_dice: 1.3508, loss: 36.7377 2022-09-12 10:15:14,737 - mmseg - INFO - Iter [11600/80000] lr: 1.228e-06, eta: 1 day, 12:45:59, time: 1.876, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0322, decode.loss_mask: 0.8344, decode.loss_dice: 1.3534, decode.d0.loss_cls: 4.8964, decode.d0.loss_mask: 0.8148, decode.d0.loss_dice: 1.5737, decode.d1.loss_cls: 1.1314, decode.d1.loss_mask: 0.8526, decode.d1.loss_dice: 1.4281, decode.d2.loss_cls: 1.0436, decode.d2.loss_mask: 0.8447, decode.d2.loss_dice: 1.3754, decode.d3.loss_cls: 1.0413, decode.d3.loss_mask: 0.8374, decode.d3.loss_dice: 1.3634, decode.d4.loss_cls: 1.0359, decode.d4.loss_mask: 0.8365, decode.d4.loss_dice: 1.3689, decode.d5.loss_cls: 1.0308, decode.d5.loss_mask: 0.8352, decode.d5.loss_dice: 1.3615, decode.d6.loss_cls: 1.0202, decode.d6.loss_mask: 0.8348, decode.d6.loss_dice: 1.3576, decode.d7.loss_cls: 1.0284, decode.d7.loss_mask: 0.8332, decode.d7.loss_dice: 1.3628, decode.d8.loss_cls: 1.0243, decode.d8.loss_mask: 0.8361, decode.d8.loss_dice: 1.3545, loss: 36.5437 2022-09-12 10:16:49,458 - mmseg - INFO - Iter [11650/80000] lr: 1.227e-06, eta: 1 day, 12:44:10, time: 1.894, data_time: 0.017, memory: 42763, decode.loss_cls: 0.9940, decode.loss_mask: 0.8601, decode.loss_dice: 1.3547, decode.d0.loss_cls: 4.8341, decode.d0.loss_mask: 0.8454, decode.d0.loss_dice: 1.5731, decode.d1.loss_cls: 1.0906, decode.d1.loss_mask: 0.8701, decode.d1.loss_dice: 1.4286, decode.d2.loss_cls: 1.0185, decode.d2.loss_mask: 0.8707, decode.d2.loss_dice: 1.3762, decode.d3.loss_cls: 1.0147, decode.d3.loss_mask: 0.8591, decode.d3.loss_dice: 1.3575, decode.d4.loss_cls: 1.0035, decode.d4.loss_mask: 0.8623, decode.d4.loss_dice: 1.3529, decode.d5.loss_cls: 0.9975, decode.d5.loss_mask: 0.8627, decode.d5.loss_dice: 1.3466, decode.d6.loss_cls: 0.9941, decode.d6.loss_mask: 0.8647, decode.d6.loss_dice: 1.3469, decode.d7.loss_cls: 0.9941, decode.d7.loss_mask: 0.8611, decode.d7.loss_dice: 1.3483, decode.d8.loss_cls: 0.9892, decode.d8.loss_mask: 0.8653, decode.d8.loss_dice: 1.3476, loss: 36.3844 2022-09-12 10:18:21,783 - mmseg - INFO - Iter [11700/80000] lr: 1.226e-06, eta: 1 day, 12:42:07, time: 1.846, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9884, decode.loss_mask: 0.8812, decode.loss_dice: 1.3325, decode.d0.loss_cls: 4.7930, decode.d0.loss_mask: 0.8488, decode.d0.loss_dice: 1.5340, decode.d1.loss_cls: 1.0822, decode.d1.loss_mask: 0.8860, decode.d1.loss_dice: 1.3955, decode.d2.loss_cls: 1.0112, decode.d2.loss_mask: 0.8781, decode.d2.loss_dice: 1.3452, decode.d3.loss_cls: 1.0036, decode.d3.loss_mask: 0.8790, decode.d3.loss_dice: 1.3287, decode.d4.loss_cls: 1.0010, decode.d4.loss_mask: 0.8765, decode.d4.loss_dice: 1.3315, decode.d5.loss_cls: 0.9948, decode.d5.loss_mask: 0.8711, decode.d5.loss_dice: 1.3358, decode.d6.loss_cls: 0.9835, decode.d6.loss_mask: 0.8759, decode.d6.loss_dice: 1.3275, decode.d7.loss_cls: 0.9829, decode.d7.loss_mask: 0.8781, decode.d7.loss_dice: 1.3283, decode.d8.loss_cls: 0.9812, decode.d8.loss_mask: 0.8769, decode.d8.loss_dice: 1.3298, loss: 36.1624 2022-09-12 10:19:56,449 - mmseg - INFO - Iter [11750/80000] lr: 1.225e-06, eta: 1 day, 12:40:19, time: 1.893, data_time: 0.017, memory: 42763, decode.loss_cls: 1.0374, decode.loss_mask: 0.8486, decode.loss_dice: 1.3206, decode.d0.loss_cls: 4.8179, decode.d0.loss_mask: 0.8346, decode.d0.loss_dice: 1.5522, decode.d1.loss_cls: 1.1386, decode.d1.loss_mask: 0.8740, decode.d1.loss_dice: 1.4011, decode.d2.loss_cls: 1.0678, decode.d2.loss_mask: 0.8629, decode.d2.loss_dice: 1.3499, decode.d3.loss_cls: 1.0455, decode.d3.loss_mask: 0.8614, decode.d3.loss_dice: 1.3296, decode.d4.loss_cls: 1.0461, decode.d4.loss_mask: 0.8566, decode.d4.loss_dice: 1.3254, decode.d5.loss_cls: 1.0279, decode.d5.loss_mask: 0.8597, decode.d5.loss_dice: 1.3287, decode.d6.loss_cls: 1.0295, decode.d6.loss_mask: 0.8544, decode.d6.loss_dice: 1.3171, decode.d7.loss_cls: 1.0302, decode.d7.loss_mask: 0.8540, decode.d7.loss_dice: 1.3191, decode.d8.loss_cls: 1.0339, decode.d8.loss_mask: 0.8510, decode.d8.loss_dice: 1.3168, loss: 36.3925 2022-09-12 10:21:29,959 - mmseg - INFO - Iter [11800/80000] lr: 1.224e-06, eta: 1 day, 12:38:23, time: 1.870, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0408, decode.loss_mask: 0.8343, decode.loss_dice: 1.3651, decode.d0.loss_cls: 4.8118, decode.d0.loss_mask: 0.8165, decode.d0.loss_dice: 1.6077, decode.d1.loss_cls: 1.1390, decode.d1.loss_mask: 0.8435, decode.d1.loss_dice: 1.4336, decode.d2.loss_cls: 1.0578, decode.d2.loss_mask: 0.8318, decode.d2.loss_dice: 1.3994, decode.d3.loss_cls: 1.0474, decode.d3.loss_mask: 0.8342, decode.d3.loss_dice: 1.3794, decode.d4.loss_cls: 1.0414, decode.d4.loss_mask: 0.8358, decode.d4.loss_dice: 1.3726, decode.d5.loss_cls: 1.0257, decode.d5.loss_mask: 0.8354, decode.d5.loss_dice: 1.3696, decode.d6.loss_cls: 1.0389, decode.d6.loss_mask: 0.8324, decode.d6.loss_dice: 1.3600, decode.d7.loss_cls: 1.0259, decode.d7.loss_mask: 0.8360, decode.d7.loss_dice: 1.3724, decode.d8.loss_cls: 1.0340, decode.d8.loss_mask: 0.8311, decode.d8.loss_dice: 1.3663, loss: 36.6199 2022-09-12 10:23:03,473 - mmseg - INFO - Iter [11850/80000] lr: 1.223e-06, eta: 1 day, 12:36:28, time: 1.870, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0063, decode.loss_mask: 0.8591, decode.loss_dice: 1.3310, decode.d0.loss_cls: 4.7454, decode.d0.loss_mask: 0.8438, decode.d0.loss_dice: 1.5651, decode.d1.loss_cls: 1.0916, decode.d1.loss_mask: 0.8769, decode.d1.loss_dice: 1.4154, decode.d2.loss_cls: 1.0266, decode.d2.loss_mask: 0.8719, decode.d2.loss_dice: 1.3631, decode.d3.loss_cls: 1.0123, decode.d3.loss_mask: 0.8679, decode.d3.loss_dice: 1.3462, decode.d4.loss_cls: 1.0118, decode.d4.loss_mask: 0.8650, decode.d4.loss_dice: 1.3391, decode.d5.loss_cls: 0.9984, decode.d5.loss_mask: 0.8619, decode.d5.loss_dice: 1.3412, decode.d6.loss_cls: 0.9991, decode.d6.loss_mask: 0.8657, decode.d6.loss_dice: 1.3276, decode.d7.loss_cls: 1.0071, decode.d7.loss_mask: 0.8584, decode.d7.loss_dice: 1.3366, decode.d8.loss_cls: 1.0007, decode.d8.loss_mask: 0.8598, decode.d8.loss_dice: 1.3357, loss: 36.2307 2022-09-12 10:24:37,117 - mmseg - INFO - Iter [11900/80000] lr: 1.222e-06, eta: 1 day, 12:34:34, time: 1.872, data_time: 0.017, memory: 42763, decode.loss_cls: 0.9775, decode.loss_mask: 0.8610, decode.loss_dice: 1.3442, decode.d0.loss_cls: 4.7069, decode.d0.loss_mask: 0.8386, decode.d0.loss_dice: 1.5777, decode.d1.loss_cls: 1.0753, decode.d1.loss_mask: 0.8810, decode.d1.loss_dice: 1.4187, decode.d2.loss_cls: 1.0007, decode.d2.loss_mask: 0.8663, decode.d2.loss_dice: 1.3728, decode.d3.loss_cls: 0.9912, decode.d3.loss_mask: 0.8584, decode.d3.loss_dice: 1.3576, decode.d4.loss_cls: 0.9851, decode.d4.loss_mask: 0.8606, decode.d4.loss_dice: 1.3520, decode.d5.loss_cls: 0.9702, decode.d5.loss_mask: 0.8610, decode.d5.loss_dice: 1.3478, decode.d6.loss_cls: 0.9654, decode.d6.loss_mask: 0.8622, decode.d6.loss_dice: 1.3497, decode.d7.loss_cls: 0.9693, decode.d7.loss_mask: 0.8679, decode.d7.loss_dice: 1.3513, decode.d8.loss_cls: 0.9666, decode.d8.loss_mask: 0.8599, decode.d8.loss_dice: 1.3423, loss: 36.0393 2022-09-12 10:26:11,242 - mmseg - INFO - Iter [11950/80000] lr: 1.221e-06, eta: 1 day, 12:32:43, time: 1.883, data_time: 0.017, memory: 42763, decode.loss_cls: 1.0114, decode.loss_mask: 0.8580, decode.loss_dice: 1.3469, decode.d0.loss_cls: 4.6923, decode.d0.loss_mask: 0.8283, decode.d0.loss_dice: 1.5783, decode.d1.loss_cls: 1.1229, decode.d1.loss_mask: 0.8729, decode.d1.loss_dice: 1.4195, decode.d2.loss_cls: 1.0433, decode.d2.loss_mask: 0.8580, decode.d2.loss_dice: 1.3634, decode.d3.loss_cls: 1.0229, decode.d3.loss_mask: 0.8520, decode.d3.loss_dice: 1.3516, decode.d4.loss_cls: 1.0148, decode.d4.loss_mask: 0.8574, decode.d4.loss_dice: 1.3486, decode.d5.loss_cls: 1.0049, decode.d5.loss_mask: 0.8546, decode.d5.loss_dice: 1.3441, decode.d6.loss_cls: 1.0076, decode.d6.loss_mask: 0.8547, decode.d6.loss_dice: 1.3400, decode.d7.loss_cls: 1.0044, decode.d7.loss_mask: 0.8556, decode.d7.loss_dice: 1.3435, decode.d8.loss_cls: 1.0085, decode.d8.loss_mask: 0.8586, decode.d8.loss_dice: 1.3413, loss: 36.2602 2022-09-12 10:27:43,444 - mmseg - INFO - Saving checkpoint at 12000 iterations 2022-09-12 10:28:09,378 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 10:28:09,380 - mmseg - INFO - Iter [12000/80000] lr: 1.220e-06, eta: 1 day, 12:33:07, time: 2.361, data_time: 0.018, memory: 42763, decode.loss_cls: 1.0257, decode.loss_mask: 0.8317, decode.loss_dice: 1.3218, decode.d0.loss_cls: 4.6574, decode.d0.loss_mask: 0.8131, decode.d0.loss_dice: 1.5584, decode.d1.loss_cls: 1.1177, decode.d1.loss_mask: 0.8548, decode.d1.loss_dice: 1.3930, decode.d2.loss_cls: 1.0405, decode.d2.loss_mask: 0.8361, decode.d2.loss_dice: 1.3480, decode.d3.loss_cls: 1.0306, decode.d3.loss_mask: 0.8366, decode.d3.loss_dice: 1.3312, decode.d4.loss_cls: 1.0305, decode.d4.loss_mask: 0.8417, decode.d4.loss_dice: 1.3322, decode.d5.loss_cls: 1.0162, decode.d5.loss_mask: 0.8364, decode.d5.loss_dice: 1.3259, decode.d6.loss_cls: 1.0200, decode.d6.loss_mask: 0.8345, decode.d6.loss_dice: 1.3122, decode.d7.loss_cls: 1.0134, decode.d7.loss_mask: 0.8339, decode.d7.loss_dice: 1.3146, decode.d8.loss_cls: 1.0114, decode.d8.loss_mask: 0.8322, decode.d8.loss_dice: 1.3319, loss: 35.8836 2022-09-12 10:29:42,719 - mmseg - INFO - Iter [12050/80000] lr: 1.220e-06, eta: 1 day, 12:31:12, time: 1.869, data_time: 0.018, memory: 42763, decode.loss_cls: 1.0169, decode.loss_mask: 0.8526, decode.loss_dice: 1.3690, decode.d0.loss_cls: 4.6577, decode.d0.loss_mask: 0.8249, decode.d0.loss_dice: 1.5996, decode.d1.loss_cls: 1.1175, decode.d1.loss_mask: 0.8661, decode.d1.loss_dice: 1.4326, decode.d2.loss_cls: 1.0432, decode.d2.loss_mask: 0.8552, decode.d2.loss_dice: 1.3819, decode.d3.loss_cls: 1.0253, decode.d3.loss_mask: 0.8546, decode.d3.loss_dice: 1.3745, decode.d4.loss_cls: 1.0260, decode.d4.loss_mask: 0.8531, decode.d4.loss_dice: 1.3708, decode.d5.loss_cls: 1.0159, decode.d5.loss_mask: 0.8498, decode.d5.loss_dice: 1.3648, decode.d6.loss_cls: 1.0163, decode.d6.loss_mask: 0.8452, decode.d6.loss_dice: 1.3574, decode.d7.loss_cls: 1.0088, decode.d7.loss_mask: 0.8463, decode.d7.loss_dice: 1.3700, decode.d8.loss_cls: 1.0087, decode.d8.loss_mask: 0.8465, decode.d8.loss_dice: 1.3670, loss: 36.4182 2022-09-12 10:31:17,796 - mmseg - INFO - Iter [12100/80000] lr: 1.219e-06, eta: 1 day, 12:29:26, time: 1.902, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9675, decode.loss_mask: 0.8542, decode.loss_dice: 1.3150, decode.d0.loss_cls: 4.5960, decode.d0.loss_mask: 0.8274, decode.d0.loss_dice: 1.5488, decode.d1.loss_cls: 1.0735, decode.d1.loss_mask: 0.8894, decode.d1.loss_dice: 1.3892, decode.d2.loss_cls: 1.0073, decode.d2.loss_mask: 0.8596, decode.d2.loss_dice: 1.3406, decode.d3.loss_cls: 0.9953, decode.d3.loss_mask: 0.8542, decode.d3.loss_dice: 1.3274, decode.d4.loss_cls: 0.9892, decode.d4.loss_mask: 0.8554, decode.d4.loss_dice: 1.3277, decode.d5.loss_cls: 0.9756, decode.d5.loss_mask: 0.8555, decode.d5.loss_dice: 1.3240, decode.d6.loss_cls: 0.9682, decode.d6.loss_mask: 0.8558, decode.d6.loss_dice: 1.3136, decode.d7.loss_cls: 0.9646, decode.d7.loss_mask: 0.8545, decode.d7.loss_dice: 1.3146, decode.d8.loss_cls: 0.9626, decode.d8.loss_mask: 0.8516, decode.d8.loss_dice: 1.3132, loss: 35.5713 2022-09-12 10:32:52,544 - mmseg - INFO - Iter [12150/80000] lr: 1.218e-06, eta: 1 day, 12:27:38, time: 1.895, data_time: 0.015, memory: 42763, decode.loss_cls: 1.0076, decode.loss_mask: 0.8287, decode.loss_dice: 1.3639, decode.d0.loss_cls: 4.6064, decode.d0.loss_mask: 0.8023, decode.d0.loss_dice: 1.5879, decode.d1.loss_cls: 1.1120, decode.d1.loss_mask: 0.8359, decode.d1.loss_dice: 1.4322, decode.d2.loss_cls: 1.0327, decode.d2.loss_mask: 0.8278, decode.d2.loss_dice: 1.3827, decode.d3.loss_cls: 1.0190, decode.d3.loss_mask: 0.8316, decode.d3.loss_dice: 1.3660, decode.d4.loss_cls: 1.0185, decode.d4.loss_mask: 0.8288, decode.d4.loss_dice: 1.3627, decode.d5.loss_cls: 1.0136, decode.d5.loss_mask: 0.8283, decode.d5.loss_dice: 1.3610, decode.d6.loss_cls: 1.0061, decode.d6.loss_mask: 0.8291, decode.d6.loss_dice: 1.3569, decode.d7.loss_cls: 1.0045, decode.d7.loss_mask: 0.8300, decode.d7.loss_dice: 1.3613, decode.d8.loss_cls: 1.0009, decode.d8.loss_mask: 0.8359, decode.d8.loss_dice: 1.3643, loss: 36.0387 2022-09-12 10:34:26,722 - mmseg - INFO - Iter [12200/80000] lr: 1.217e-06, eta: 1 day, 12:25:47, time: 1.884, data_time: 0.017, memory: 42763, decode.loss_cls: 1.0068, decode.loss_mask: 0.8278, decode.loss_dice: 1.3473, decode.d0.loss_cls: 4.6003, decode.d0.loss_mask: 0.7973, decode.d0.loss_dice: 1.5860, decode.d1.loss_cls: 1.1214, decode.d1.loss_mask: 0.8386, decode.d1.loss_dice: 1.4171, decode.d2.loss_cls: 1.0392, decode.d2.loss_mask: 0.8283, decode.d2.loss_dice: 1.3681, decode.d3.loss_cls: 1.0240, decode.d3.loss_mask: 0.8235, decode.d3.loss_dice: 1.3534, decode.d4.loss_cls: 1.0230, decode.d4.loss_mask: 0.8191, decode.d4.loss_dice: 1.3522, decode.d5.loss_cls: 1.0209, decode.d5.loss_mask: 0.8192, decode.d5.loss_dice: 1.3578, decode.d6.loss_cls: 1.0167, decode.d6.loss_mask: 0.8195, decode.d6.loss_dice: 1.3405, decode.d7.loss_cls: 1.0088, decode.d7.loss_mask: 0.8236, decode.d7.loss_dice: 1.3477, decode.d8.loss_cls: 1.0081, decode.d8.loss_mask: 0.8277, decode.d8.loss_dice: 1.3495, loss: 35.9133 2022-09-12 10:36:01,715 - mmseg - INFO - Iter [12250/80000] lr: 1.216e-06, eta: 1 day, 12:24:01, time: 1.900, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0561, decode.loss_mask: 0.8604, decode.loss_dice: 1.3613, decode.d0.loss_cls: 4.5650, decode.d0.loss_mask: 0.8549, decode.d0.loss_dice: 1.6072, decode.d1.loss_cls: 1.1530, decode.d1.loss_mask: 0.8849, decode.d1.loss_dice: 1.4307, decode.d2.loss_cls: 1.0867, decode.d2.loss_mask: 0.8680, decode.d2.loss_dice: 1.3943, decode.d3.loss_cls: 1.0720, decode.d3.loss_mask: 0.8640, decode.d3.loss_dice: 1.3717, decode.d4.loss_cls: 1.0683, decode.d4.loss_mask: 0.8629, decode.d4.loss_dice: 1.3711, decode.d5.loss_cls: 1.0524, decode.d5.loss_mask: 0.8685, decode.d5.loss_dice: 1.3597, decode.d6.loss_cls: 1.0532, decode.d6.loss_mask: 0.8662, decode.d6.loss_dice: 1.3557, decode.d7.loss_cls: 1.0521, decode.d7.loss_mask: 0.8669, decode.d7.loss_dice: 1.3568, decode.d8.loss_cls: 1.0539, decode.d8.loss_mask: 0.8646, decode.d8.loss_dice: 1.3588, loss: 36.8411 2022-09-12 10:37:36,488 - mmseg - INFO - Iter [12300/80000] lr: 1.215e-06, eta: 1 day, 12:22:13, time: 1.895, data_time: 0.017, memory: 42763, decode.loss_cls: 1.0163, decode.loss_mask: 0.8579, decode.loss_dice: 1.3286, decode.d0.loss_cls: 4.5608, decode.d0.loss_mask: 0.8419, decode.d0.loss_dice: 1.5611, decode.d1.loss_cls: 1.1181, decode.d1.loss_mask: 0.8855, decode.d1.loss_dice: 1.4083, decode.d2.loss_cls: 1.0437, decode.d2.loss_mask: 0.8659, decode.d2.loss_dice: 1.3440, decode.d3.loss_cls: 1.0234, decode.d3.loss_mask: 0.8596, decode.d3.loss_dice: 1.3411, decode.d4.loss_cls: 1.0153, decode.d4.loss_mask: 0.8632, decode.d4.loss_dice: 1.3313, decode.d5.loss_cls: 1.0104, decode.d5.loss_mask: 0.8615, decode.d5.loss_dice: 1.3298, decode.d6.loss_cls: 1.0108, decode.d6.loss_mask: 0.8522, decode.d6.loss_dice: 1.3163, decode.d7.loss_cls: 1.0130, decode.d7.loss_mask: 0.8516, decode.d7.loss_dice: 1.3230, decode.d8.loss_cls: 1.0156, decode.d8.loss_mask: 0.8559, decode.d8.loss_dice: 1.3194, loss: 36.0256 2022-09-12 10:39:10,955 - mmseg - INFO - Iter [12350/80000] lr: 1.214e-06, eta: 1 day, 12:20:25, time: 1.890, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0147, decode.loss_mask: 0.8435, decode.loss_dice: 1.3481, decode.d0.loss_cls: 4.5491, decode.d0.loss_mask: 0.8229, decode.d0.loss_dice: 1.5823, decode.d1.loss_cls: 1.1126, decode.d1.loss_mask: 0.8602, decode.d1.loss_dice: 1.4320, decode.d2.loss_cls: 1.0250, decode.d2.loss_mask: 0.8508, decode.d2.loss_dice: 1.3787, decode.d3.loss_cls: 1.0157, decode.d3.loss_mask: 0.8474, decode.d3.loss_dice: 1.3621, decode.d4.loss_cls: 1.0153, decode.d4.loss_mask: 0.8434, decode.d4.loss_dice: 1.3578, decode.d5.loss_cls: 1.0084, decode.d5.loss_mask: 0.8418, decode.d5.loss_dice: 1.3561, decode.d6.loss_cls: 1.0097, decode.d6.loss_mask: 0.8391, decode.d6.loss_dice: 1.3450, decode.d7.loss_cls: 1.0137, decode.d7.loss_mask: 0.8360, decode.d7.loss_dice: 1.3516, decode.d8.loss_cls: 1.0103, decode.d8.loss_mask: 0.8393, decode.d8.loss_dice: 1.3612, loss: 36.0741 2022-09-12 10:40:44,309 - mmseg - INFO - Iter [12400/80000] lr: 1.213e-06, eta: 1 day, 12:18:30, time: 1.867, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9776, decode.loss_mask: 0.8443, decode.loss_dice: 1.3088, decode.d0.loss_cls: 4.4781, decode.d0.loss_mask: 0.8211, decode.d0.loss_dice: 1.5388, decode.d1.loss_cls: 1.0888, decode.d1.loss_mask: 0.8596, decode.d1.loss_dice: 1.3722, decode.d2.loss_cls: 1.0145, decode.d2.loss_mask: 0.8460, decode.d2.loss_dice: 1.3338, decode.d3.loss_cls: 0.9941, decode.d3.loss_mask: 0.8420, decode.d3.loss_dice: 1.3192, decode.d4.loss_cls: 0.9841, decode.d4.loss_mask: 0.8451, decode.d4.loss_dice: 1.3088, decode.d5.loss_cls: 0.9785, decode.d5.loss_mask: 0.8415, decode.d5.loss_dice: 1.3107, decode.d6.loss_cls: 0.9743, decode.d6.loss_mask: 0.8438, decode.d6.loss_dice: 1.3064, decode.d7.loss_cls: 0.9777, decode.d7.loss_mask: 0.8399, decode.d7.loss_dice: 1.3083, decode.d8.loss_cls: 0.9730, decode.d8.loss_mask: 0.8395, decode.d8.loss_dice: 1.3059, loss: 35.2762 2022-09-12 10:42:19,162 - mmseg - INFO - Iter [12450/80000] lr: 1.212e-06, eta: 1 day, 12:16:43, time: 1.897, data_time: 0.017, memory: 42763, decode.loss_cls: 1.0411, decode.loss_mask: 0.8633, decode.loss_dice: 1.3614, decode.d0.loss_cls: 4.4592, decode.d0.loss_mask: 0.8453, decode.d0.loss_dice: 1.5999, decode.d1.loss_cls: 1.1281, decode.d1.loss_mask: 0.8833, decode.d1.loss_dice: 1.4395, decode.d2.loss_cls: 1.0667, decode.d2.loss_mask: 0.8646, decode.d2.loss_dice: 1.3923, decode.d3.loss_cls: 1.0518, decode.d3.loss_mask: 0.8631, decode.d3.loss_dice: 1.3703, decode.d4.loss_cls: 1.0565, decode.d4.loss_mask: 0.8598, decode.d4.loss_dice: 1.3679, decode.d5.loss_cls: 1.0470, decode.d5.loss_mask: 0.8561, decode.d5.loss_dice: 1.3592, decode.d6.loss_cls: 1.0403, decode.d6.loss_mask: 0.8540, decode.d6.loss_dice: 1.3576, decode.d7.loss_cls: 1.0375, decode.d7.loss_mask: 0.8587, decode.d7.loss_dice: 1.3610, decode.d8.loss_cls: 1.0369, decode.d8.loss_mask: 0.8622, decode.d8.loss_dice: 1.3629, loss: 36.5477 2022-09-12 10:43:54,909 - mmseg - INFO - Iter [12500/80000] lr: 1.211e-06, eta: 1 day, 12:15:01, time: 1.915, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9746, decode.loss_mask: 0.8478, decode.loss_dice: 1.2975, decode.d0.loss_cls: 4.3957, decode.d0.loss_mask: 0.8260, decode.d0.loss_dice: 1.5195, decode.d1.loss_cls: 1.0834, decode.d1.loss_mask: 0.8644, decode.d1.loss_dice: 1.3756, decode.d2.loss_cls: 1.0055, decode.d2.loss_mask: 0.8476, decode.d2.loss_dice: 1.3184, decode.d3.loss_cls: 0.9914, decode.d3.loss_mask: 0.8428, decode.d3.loss_dice: 1.3024, decode.d4.loss_cls: 0.9819, decode.d4.loss_mask: 0.8425, decode.d4.loss_dice: 1.2969, decode.d5.loss_cls: 0.9736, decode.d5.loss_mask: 0.8438, decode.d5.loss_dice: 1.3021, decode.d6.loss_cls: 0.9735, decode.d6.loss_mask: 0.8485, decode.d6.loss_dice: 1.3030, decode.d7.loss_cls: 0.9757, decode.d7.loss_mask: 0.8432, decode.d7.loss_dice: 1.2979, decode.d8.loss_cls: 0.9643, decode.d8.loss_mask: 0.8474, decode.d8.loss_dice: 1.3019, loss: 35.0886 2022-09-12 10:45:29,224 - mmseg - INFO - Iter [12550/80000] lr: 1.211e-06, eta: 1 day, 12:13:12, time: 1.886, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9973, decode.loss_mask: 0.8448, decode.loss_dice: 1.3459, decode.d0.loss_cls: 4.3977, decode.d0.loss_mask: 0.8247, decode.d0.loss_dice: 1.5705, decode.d1.loss_cls: 1.0920, decode.d1.loss_mask: 0.8611, decode.d1.loss_dice: 1.4135, decode.d2.loss_cls: 1.0203, decode.d2.loss_mask: 0.8475, decode.d2.loss_dice: 1.3595, decode.d3.loss_cls: 0.9991, decode.d3.loss_mask: 0.8412, decode.d3.loss_dice: 1.3494, decode.d4.loss_cls: 0.9964, decode.d4.loss_mask: 0.8400, decode.d4.loss_dice: 1.3482, decode.d5.loss_cls: 0.9939, decode.d5.loss_mask: 0.8360, decode.d5.loss_dice: 1.3451, decode.d6.loss_cls: 0.9927, decode.d6.loss_mask: 0.8377, decode.d6.loss_dice: 1.3451, decode.d7.loss_cls: 0.9903, decode.d7.loss_mask: 0.8409, decode.d7.loss_dice: 1.3445, decode.d8.loss_cls: 0.9917, decode.d8.loss_mask: 0.8420, decode.d8.loss_dice: 1.3499, loss: 35.6589 2022-09-12 10:47:02,451 - mmseg - INFO - Iter [12600/80000] lr: 1.210e-06, eta: 1 day, 12:11:17, time: 1.865, data_time: 0.017, memory: 42763, decode.loss_cls: 1.0142, decode.loss_mask: 0.8367, decode.loss_dice: 1.3237, decode.d0.loss_cls: 4.3995, decode.d0.loss_mask: 0.8188, decode.d0.loss_dice: 1.5522, decode.d1.loss_cls: 1.0959, decode.d1.loss_mask: 0.8546, decode.d1.loss_dice: 1.3962, decode.d2.loss_cls: 1.0355, decode.d2.loss_mask: 0.8439, decode.d2.loss_dice: 1.3514, decode.d3.loss_cls: 1.0222, decode.d3.loss_mask: 0.8411, decode.d3.loss_dice: 1.3337, decode.d4.loss_cls: 1.0182, decode.d4.loss_mask: 0.8392, decode.d4.loss_dice: 1.3270, decode.d5.loss_cls: 1.0140, decode.d5.loss_mask: 0.8338, decode.d5.loss_dice: 1.3245, decode.d6.loss_cls: 1.0184, decode.d6.loss_mask: 0.8318, decode.d6.loss_dice: 1.3202, decode.d7.loss_cls: 1.0176, decode.d7.loss_mask: 0.8346, decode.d7.loss_dice: 1.3165, decode.d8.loss_cls: 1.0079, decode.d8.loss_mask: 0.8367, decode.d8.loss_dice: 1.3243, loss: 35.5842 2022-09-12 10:48:35,723 - mmseg - INFO - Iter [12650/80000] lr: 1.209e-06, eta: 1 day, 12:09:23, time: 1.866, data_time: 0.017, memory: 42763, decode.loss_cls: 0.9727, decode.loss_mask: 0.8418, decode.loss_dice: 1.3101, decode.d0.loss_cls: 4.3496, decode.d0.loss_mask: 0.8194, decode.d0.loss_dice: 1.5374, decode.d1.loss_cls: 1.0795, decode.d1.loss_mask: 0.8500, decode.d1.loss_dice: 1.3895, decode.d2.loss_cls: 0.9973, decode.d2.loss_mask: 0.8433, decode.d2.loss_dice: 1.3371, decode.d3.loss_cls: 0.9865, decode.d3.loss_mask: 0.8311, decode.d3.loss_dice: 1.3218, decode.d4.loss_cls: 0.9844, decode.d4.loss_mask: 0.8310, decode.d4.loss_dice: 1.3190, decode.d5.loss_cls: 0.9696, decode.d5.loss_mask: 0.8286, decode.d5.loss_dice: 1.3161, decode.d6.loss_cls: 0.9711, decode.d6.loss_mask: 0.8338, decode.d6.loss_dice: 1.3131, decode.d7.loss_cls: 0.9768, decode.d7.loss_mask: 0.8328, decode.d7.loss_dice: 1.3087, decode.d8.loss_cls: 0.9704, decode.d8.loss_mask: 0.8337, decode.d8.loss_dice: 1.3117, loss: 35.0679 2022-09-12 10:50:10,545 - mmseg - INFO - Iter [12700/80000] lr: 1.208e-06, eta: 1 day, 12:07:36, time: 1.896, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9995, decode.loss_mask: 0.8189, decode.loss_dice: 1.3337, decode.d0.loss_cls: 4.3303, decode.d0.loss_mask: 0.7932, decode.d0.loss_dice: 1.5653, decode.d1.loss_cls: 1.1053, decode.d1.loss_mask: 0.8288, decode.d1.loss_dice: 1.4047, decode.d2.loss_cls: 1.0252, decode.d2.loss_mask: 0.8164, decode.d2.loss_dice: 1.3556, decode.d3.loss_cls: 1.0052, decode.d3.loss_mask: 0.8149, decode.d3.loss_dice: 1.3298, decode.d4.loss_cls: 0.9977, decode.d4.loss_mask: 0.8169, decode.d4.loss_dice: 1.3415, decode.d5.loss_cls: 0.9938, decode.d5.loss_mask: 0.8141, decode.d5.loss_dice: 1.3336, decode.d6.loss_cls: 0.9945, decode.d6.loss_mask: 0.8095, decode.d6.loss_dice: 1.3250, decode.d7.loss_cls: 0.9922, decode.d7.loss_mask: 0.8125, decode.d7.loss_dice: 1.3397, decode.d8.loss_cls: 0.9946, decode.d8.loss_mask: 0.8135, decode.d8.loss_dice: 1.3366, loss: 35.2425 2022-09-12 10:51:44,076 - mmseg - INFO - Iter [12750/80000] lr: 1.207e-06, eta: 1 day, 12:05:43, time: 1.870, data_time: 0.018, memory: 42763, decode.loss_cls: 1.0044, decode.loss_mask: 0.8338, decode.loss_dice: 1.3136, decode.d0.loss_cls: 4.3493, decode.d0.loss_mask: 0.8168, decode.d0.loss_dice: 1.5604, decode.d1.loss_cls: 1.1026, decode.d1.loss_mask: 0.8546, decode.d1.loss_dice: 1.4024, decode.d2.loss_cls: 1.0338, decode.d2.loss_mask: 0.8331, decode.d2.loss_dice: 1.3408, decode.d3.loss_cls: 1.0190, decode.d3.loss_mask: 0.8390, decode.d3.loss_dice: 1.3200, decode.d4.loss_cls: 1.0093, decode.d4.loss_mask: 0.8385, decode.d4.loss_dice: 1.3264, decode.d5.loss_cls: 0.9976, decode.d5.loss_mask: 0.8397, decode.d5.loss_dice: 1.3167, decode.d6.loss_cls: 0.9945, decode.d6.loss_mask: 0.8401, decode.d6.loss_dice: 1.3138, decode.d7.loss_cls: 1.0004, decode.d7.loss_mask: 0.8363, decode.d7.loss_dice: 1.3072, decode.d8.loss_cls: 0.9930, decode.d8.loss_mask: 0.8344, decode.d8.loss_dice: 1.3182, loss: 35.3898 2022-09-12 10:53:18,547 - mmseg - INFO - Iter [12800/80000] lr: 1.206e-06, eta: 1 day, 12:03:55, time: 1.890, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9572, decode.loss_mask: 0.8356, decode.loss_dice: 1.3372, decode.d0.loss_cls: 4.2545, decode.d0.loss_mask: 0.8037, decode.d0.loss_dice: 1.5517, decode.d1.loss_cls: 1.0616, decode.d1.loss_mask: 0.8473, decode.d1.loss_dice: 1.4029, decode.d2.loss_cls: 0.9933, decode.d2.loss_mask: 0.8349, decode.d2.loss_dice: 1.3465, decode.d3.loss_cls: 0.9755, decode.d3.loss_mask: 0.8281, decode.d3.loss_dice: 1.3305, decode.d4.loss_cls: 0.9693, decode.d4.loss_mask: 0.8236, decode.d4.loss_dice: 1.3350, decode.d5.loss_cls: 0.9635, decode.d5.loss_mask: 0.8295, decode.d5.loss_dice: 1.3328, decode.d6.loss_cls: 0.9605, decode.d6.loss_mask: 0.8253, decode.d6.loss_dice: 1.3229, decode.d7.loss_cls: 0.9557, decode.d7.loss_mask: 0.8297, decode.d7.loss_dice: 1.3270, decode.d8.loss_cls: 0.9536, decode.d8.loss_mask: 0.8364, decode.d8.loss_dice: 1.3401, loss: 34.9655 2022-09-12 10:54:52,159 - mmseg - INFO - Iter [12850/80000] lr: 1.205e-06, eta: 1 day, 12:02:03, time: 1.872, data_time: 0.017, memory: 42763, decode.loss_cls: 1.0052, decode.loss_mask: 0.8184, decode.loss_dice: 1.2997, decode.d0.loss_cls: 4.2662, decode.d0.loss_mask: 0.7965, decode.d0.loss_dice: 1.5377, decode.d1.loss_cls: 1.0918, decode.d1.loss_mask: 0.8407, decode.d1.loss_dice: 1.3727, decode.d2.loss_cls: 1.0213, decode.d2.loss_mask: 0.8299, decode.d2.loss_dice: 1.3285, decode.d3.loss_cls: 1.0009, decode.d3.loss_mask: 0.8265, decode.d3.loss_dice: 1.3163, decode.d4.loss_cls: 1.0018, decode.d4.loss_mask: 0.8148, decode.d4.loss_dice: 1.3108, decode.d5.loss_cls: 0.9953, decode.d5.loss_mask: 0.8135, decode.d5.loss_dice: 1.3116, decode.d6.loss_cls: 0.9908, decode.d6.loss_mask: 0.8123, decode.d6.loss_dice: 1.3029, decode.d7.loss_cls: 0.9858, decode.d7.loss_mask: 0.8144, decode.d7.loss_dice: 1.3036, decode.d8.loss_cls: 0.9896, decode.d8.loss_mask: 0.8187, decode.d8.loss_dice: 1.3028, loss: 34.9212 2022-09-12 10:56:26,684 - mmseg - INFO - Iter [12900/80000] lr: 1.204e-06, eta: 1 day, 12:00:16, time: 1.890, data_time: 0.015, memory: 42763, decode.loss_cls: 1.0091, decode.loss_mask: 0.8371, decode.loss_dice: 1.3246, decode.d0.loss_cls: 4.2600, decode.d0.loss_mask: 0.8264, decode.d0.loss_dice: 1.5702, decode.d1.loss_cls: 1.1090, decode.d1.loss_mask: 0.8627, decode.d1.loss_dice: 1.4064, decode.d2.loss_cls: 1.0340, decode.d2.loss_mask: 0.8397, decode.d2.loss_dice: 1.3484, decode.d3.loss_cls: 1.0253, decode.d3.loss_mask: 0.8340, decode.d3.loss_dice: 1.3216, decode.d4.loss_cls: 1.0172, decode.d4.loss_mask: 0.8333, decode.d4.loss_dice: 1.3179, decode.d5.loss_cls: 1.0145, decode.d5.loss_mask: 0.8296, decode.d5.loss_dice: 1.3071, decode.d6.loss_cls: 1.0092, decode.d6.loss_mask: 0.8304, decode.d6.loss_dice: 1.3115, decode.d7.loss_cls: 1.0064, decode.d7.loss_mask: 0.8322, decode.d7.loss_dice: 1.3229, decode.d8.loss_cls: 1.0031, decode.d8.loss_mask: 0.8358, decode.d8.loss_dice: 1.3250, loss: 35.4047 2022-09-12 10:58:00,428 - mmseg - INFO - Iter [12950/80000] lr: 1.203e-06, eta: 1 day, 11:58:24, time: 1.874, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9741, decode.loss_mask: 0.8665, decode.loss_dice: 1.3625, decode.d0.loss_cls: 4.2051, decode.d0.loss_mask: 0.8339, decode.d0.loss_dice: 1.5729, decode.d1.loss_cls: 1.0754, decode.d1.loss_mask: 0.8825, decode.d1.loss_dice: 1.4277, decode.d2.loss_cls: 1.0072, decode.d2.loss_mask: 0.8724, decode.d2.loss_dice: 1.3835, decode.d3.loss_cls: 0.9991, decode.d3.loss_mask: 0.8646, decode.d3.loss_dice: 1.3721, decode.d4.loss_cls: 0.9887, decode.d4.loss_mask: 0.8596, decode.d4.loss_dice: 1.3778, decode.d5.loss_cls: 0.9815, decode.d5.loss_mask: 0.8605, decode.d5.loss_dice: 1.3636, decode.d6.loss_cls: 0.9745, decode.d6.loss_mask: 0.8602, decode.d6.loss_dice: 1.3612, decode.d7.loss_cls: 0.9736, decode.d7.loss_mask: 0.8550, decode.d7.loss_dice: 1.3646, decode.d8.loss_cls: 0.9688, decode.d8.loss_mask: 0.8644, decode.d8.loss_dice: 1.3607, loss: 35.7142 2022-09-12 10:59:34,070 - mmseg - INFO - Saving checkpoint at 13000 iterations 2022-09-12 11:00:03,007 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 11:00:03,015 - mmseg - INFO - Iter [13000/80000] lr: 1.202e-06, eta: 1 day, 11:59:01, time: 2.450, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9565, decode.loss_mask: 0.8448, decode.loss_dice: 1.3193, decode.d0.loss_cls: 4.1934, decode.d0.loss_mask: 0.8245, decode.d0.loss_dice: 1.5465, decode.d1.loss_cls: 1.0537, decode.d1.loss_mask: 0.8622, decode.d1.loss_dice: 1.3907, decode.d2.loss_cls: 0.9809, decode.d2.loss_mask: 0.8463, decode.d2.loss_dice: 1.3507, decode.d3.loss_cls: 0.9768, decode.d3.loss_mask: 0.8414, decode.d3.loss_dice: 1.3250, decode.d4.loss_cls: 0.9744, decode.d4.loss_mask: 0.8405, decode.d4.loss_dice: 1.3204, decode.d5.loss_cls: 0.9624, decode.d5.loss_mask: 0.8489, decode.d5.loss_dice: 1.3104, decode.d6.loss_cls: 0.9599, decode.d6.loss_mask: 0.8406, decode.d6.loss_dice: 1.3082, decode.d7.loss_cls: 0.9509, decode.d7.loss_mask: 0.8418, decode.d7.loss_dice: 1.3179, decode.d8.loss_cls: 0.9535, decode.d8.loss_mask: 0.8459, decode.d8.loss_dice: 1.3220, loss: 34.9104 2022-09-12 11:01:37,270 - mmseg - INFO - Iter [13050/80000] lr: 1.202e-06, eta: 1 day, 11:57:13, time: 1.887, data_time: 0.017, memory: 42763, decode.loss_cls: 0.9673, decode.loss_mask: 0.8654, decode.loss_dice: 1.3107, decode.d0.loss_cls: 4.1273, decode.d0.loss_mask: 0.8476, decode.d0.loss_dice: 1.5184, decode.d1.loss_cls: 1.0573, decode.d1.loss_mask: 0.8853, decode.d1.loss_dice: 1.3924, decode.d2.loss_cls: 0.9875, decode.d2.loss_mask: 0.8767, decode.d2.loss_dice: 1.3425, decode.d3.loss_cls: 0.9677, decode.d3.loss_mask: 0.8768, decode.d3.loss_dice: 1.3308, decode.d4.loss_cls: 0.9783, decode.d4.loss_mask: 0.8639, decode.d4.loss_dice: 1.3204, decode.d5.loss_cls: 0.9634, decode.d5.loss_mask: 0.8691, decode.d5.loss_dice: 1.3124, decode.d6.loss_cls: 0.9576, decode.d6.loss_mask: 0.8613, decode.d6.loss_dice: 1.3093, decode.d7.loss_cls: 0.9616, decode.d7.loss_mask: 0.8664, decode.d7.loss_dice: 1.3091, decode.d8.loss_cls: 0.9608, decode.d8.loss_mask: 0.8636, decode.d8.loss_dice: 1.3100, loss: 35.0610 2022-09-12 11:03:12,715 - mmseg - INFO - Iter [13100/80000] lr: 1.201e-06, eta: 1 day, 11:55:30, time: 1.908, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9565, decode.loss_mask: 0.8685, decode.loss_dice: 1.3537, decode.d0.loss_cls: 4.1435, decode.d0.loss_mask: 0.8373, decode.d0.loss_dice: 1.5839, decode.d1.loss_cls: 1.0439, decode.d1.loss_mask: 0.8809, decode.d1.loss_dice: 1.4391, decode.d2.loss_cls: 0.9822, decode.d2.loss_mask: 0.8702, decode.d2.loss_dice: 1.3846, decode.d3.loss_cls: 0.9712, decode.d3.loss_mask: 0.8621, decode.d3.loss_dice: 1.3636, decode.d4.loss_cls: 0.9620, decode.d4.loss_mask: 0.8621, decode.d4.loss_dice: 1.3598, decode.d5.loss_cls: 0.9517, decode.d5.loss_mask: 0.8608, decode.d5.loss_dice: 1.3535, decode.d6.loss_cls: 0.9554, decode.d6.loss_mask: 0.8554, decode.d6.loss_dice: 1.3521, decode.d7.loss_cls: 0.9516, decode.d7.loss_mask: 0.8638, decode.d7.loss_dice: 1.3515, decode.d8.loss_cls: 0.9449, decode.d8.loss_mask: 0.8648, decode.d8.loss_dice: 1.3559, loss: 35.3864 2022-09-12 11:04:46,821 - mmseg - INFO - Iter [13150/80000] lr: 1.200e-06, eta: 1 day, 11:53:40, time: 1.883, data_time: 0.017, memory: 42763, decode.loss_cls: 0.9923, decode.loss_mask: 0.7999, decode.loss_dice: 1.2949, decode.d0.loss_cls: 4.1379, decode.d0.loss_mask: 0.7939, decode.d0.loss_dice: 1.5455, decode.d1.loss_cls: 1.0887, decode.d1.loss_mask: 0.8187, decode.d1.loss_dice: 1.3765, decode.d2.loss_cls: 1.0161, decode.d2.loss_mask: 0.8044, decode.d2.loss_dice: 1.3318, decode.d3.loss_cls: 0.9985, decode.d3.loss_mask: 0.8035, decode.d3.loss_dice: 1.3139, decode.d4.loss_cls: 0.9982, decode.d4.loss_mask: 0.8047, decode.d4.loss_dice: 1.3112, decode.d5.loss_cls: 0.9970, decode.d5.loss_mask: 0.7977, decode.d5.loss_dice: 1.2985, decode.d6.loss_cls: 0.9931, decode.d6.loss_mask: 0.7991, decode.d6.loss_dice: 1.2948, decode.d7.loss_cls: 0.9951, decode.d7.loss_mask: 0.7985, decode.d7.loss_dice: 1.2897, decode.d8.loss_cls: 0.9900, decode.d8.loss_mask: 0.7979, decode.d8.loss_dice: 1.2972, loss: 34.5790 2022-09-12 11:06:23,161 - mmseg - INFO - Iter [13200/80000] lr: 1.199e-06, eta: 1 day, 11:52:01, time: 1.924, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9996, decode.loss_mask: 0.8435, decode.loss_dice: 1.3570, decode.d0.loss_cls: 4.1284, decode.d0.loss_mask: 0.8355, decode.d0.loss_dice: 1.5874, decode.d1.loss_cls: 1.1047, decode.d1.loss_mask: 0.8682, decode.d1.loss_dice: 1.4324, decode.d2.loss_cls: 1.0421, decode.d2.loss_mask: 0.8497, decode.d2.loss_dice: 1.3755, decode.d3.loss_cls: 1.0212, decode.d3.loss_mask: 0.8476, decode.d3.loss_dice: 1.3571, decode.d4.loss_cls: 1.0122, decode.d4.loss_mask: 0.8479, decode.d4.loss_dice: 1.3570, decode.d5.loss_cls: 1.0083, decode.d5.loss_mask: 0.8466, decode.d5.loss_dice: 1.3501, decode.d6.loss_cls: 1.0043, decode.d6.loss_mask: 0.8480, decode.d6.loss_dice: 1.3484, decode.d7.loss_cls: 0.9955, decode.d7.loss_mask: 0.8477, decode.d7.loss_dice: 1.3494, decode.d8.loss_cls: 0.9961, decode.d8.loss_mask: 0.8441, decode.d8.loss_dice: 1.3441, loss: 35.6498 2022-09-12 11:07:57,568 - mmseg - INFO - Iter [13250/80000] lr: 1.198e-06, eta: 1 day, 11:50:14, time: 1.891, data_time: 0.019, memory: 42763, decode.loss_cls: 0.9952, decode.loss_mask: 0.8093, decode.loss_dice: 1.3324, decode.d0.loss_cls: 4.1463, decode.d0.loss_mask: 0.7937, decode.d0.loss_dice: 1.5687, decode.d1.loss_cls: 1.0849, decode.d1.loss_mask: 0.8313, decode.d1.loss_dice: 1.4150, decode.d2.loss_cls: 1.0270, decode.d2.loss_mask: 0.8097, decode.d2.loss_dice: 1.3547, decode.d3.loss_cls: 1.0157, decode.d3.loss_mask: 0.8093, decode.d3.loss_dice: 1.3396, decode.d4.loss_cls: 1.0031, decode.d4.loss_mask: 0.8069, decode.d4.loss_dice: 1.3406, decode.d5.loss_cls: 0.9942, decode.d5.loss_mask: 0.8069, decode.d5.loss_dice: 1.3279, decode.d6.loss_cls: 0.9904, decode.d6.loss_mask: 0.8074, decode.d6.loss_dice: 1.3264, decode.d7.loss_cls: 0.9894, decode.d7.loss_mask: 0.8098, decode.d7.loss_dice: 1.3287, decode.d8.loss_cls: 0.9880, decode.d8.loss_mask: 0.8065, decode.d8.loss_dice: 1.3325, loss: 34.9914 2022-09-12 11:09:31,526 - mmseg - INFO - Iter [13300/80000] lr: 1.197e-06, eta: 1 day, 11:48:24, time: 1.877, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9548, decode.loss_mask: 0.8665, decode.loss_dice: 1.3379, decode.d0.loss_cls: 4.0329, decode.d0.loss_mask: 0.8375, decode.d0.loss_dice: 1.5463, decode.d1.loss_cls: 1.0460, decode.d1.loss_mask: 0.8803, decode.d1.loss_dice: 1.4276, decode.d2.loss_cls: 0.9919, decode.d2.loss_mask: 0.8699, decode.d2.loss_dice: 1.3610, decode.d3.loss_cls: 0.9659, decode.d3.loss_mask: 0.8685, decode.d3.loss_dice: 1.3462, decode.d4.loss_cls: 0.9579, decode.d4.loss_mask: 0.8680, decode.d4.loss_dice: 1.3515, decode.d5.loss_cls: 0.9575, decode.d5.loss_mask: 0.8618, decode.d5.loss_dice: 1.3417, decode.d6.loss_cls: 0.9557, decode.d6.loss_mask: 0.8624, decode.d6.loss_dice: 1.3372, decode.d7.loss_cls: 0.9547, decode.d7.loss_mask: 0.8684, decode.d7.loss_dice: 1.3344, decode.d8.loss_cls: 0.9498, decode.d8.loss_mask: 0.8657, decode.d8.loss_dice: 1.3362, loss: 35.1362 2022-09-12 11:11:07,176 - mmseg - INFO - Iter [13350/80000] lr: 1.196e-06, eta: 1 day, 11:46:43, time: 1.915, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9696, decode.loss_mask: 0.8130, decode.loss_dice: 1.3210, decode.d0.loss_cls: 4.0703, decode.d0.loss_mask: 0.7859, decode.d0.loss_dice: 1.5344, decode.d1.loss_cls: 1.0792, decode.d1.loss_mask: 0.8289, decode.d1.loss_dice: 1.3984, decode.d2.loss_cls: 1.0055, decode.d2.loss_mask: 0.8086, decode.d2.loss_dice: 1.3446, decode.d3.loss_cls: 0.9870, decode.d3.loss_mask: 0.8108, decode.d3.loss_dice: 1.3298, decode.d4.loss_cls: 0.9865, decode.d4.loss_mask: 0.8074, decode.d4.loss_dice: 1.3256, decode.d5.loss_cls: 0.9770, decode.d5.loss_mask: 0.8111, decode.d5.loss_dice: 1.3356, decode.d6.loss_cls: 0.9730, decode.d6.loss_mask: 0.8091, decode.d6.loss_dice: 1.3259, decode.d7.loss_cls: 0.9686, decode.d7.loss_mask: 0.8101, decode.d7.loss_dice: 1.3224, decode.d8.loss_cls: 0.9583, decode.d8.loss_mask: 0.8160, decode.d8.loss_dice: 1.3220, loss: 34.6356 2022-09-12 11:12:40,713 - mmseg - INFO - Iter [13400/80000] lr: 1.195e-06, eta: 1 day, 11:44:51, time: 1.871, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9672, decode.loss_mask: 0.8716, decode.loss_dice: 1.3154, decode.d0.loss_cls: 4.0233, decode.d0.loss_mask: 0.8533, decode.d0.loss_dice: 1.5377, decode.d1.loss_cls: 1.0493, decode.d1.loss_mask: 0.8887, decode.d1.loss_dice: 1.3892, decode.d2.loss_cls: 0.9883, decode.d2.loss_mask: 0.8749, decode.d2.loss_dice: 1.3323, decode.d3.loss_cls: 0.9821, decode.d3.loss_mask: 0.8792, decode.d3.loss_dice: 1.3181, decode.d4.loss_cls: 0.9778, decode.d4.loss_mask: 0.8727, decode.d4.loss_dice: 1.3193, decode.d5.loss_cls: 0.9718, decode.d5.loss_mask: 0.8700, decode.d5.loss_dice: 1.3167, decode.d6.loss_cls: 0.9677, decode.d6.loss_mask: 0.8698, decode.d6.loss_dice: 1.3141, decode.d7.loss_cls: 0.9707, decode.d7.loss_mask: 0.8711, decode.d7.loss_dice: 1.3150, decode.d8.loss_cls: 0.9659, decode.d8.loss_mask: 0.8728, decode.d8.loss_dice: 1.3147, loss: 35.0610 2022-09-12 11:14:15,637 - mmseg - INFO - Iter [13450/80000] lr: 1.194e-06, eta: 1 day, 11:43:06, time: 1.899, data_time: 0.014, memory: 42763, decode.loss_cls: 0.9823, decode.loss_mask: 0.8328, decode.loss_dice: 1.3384, decode.d0.loss_cls: 4.0324, decode.d0.loss_mask: 0.8070, decode.d0.loss_dice: 1.5662, decode.d1.loss_cls: 1.0847, decode.d1.loss_mask: 0.8479, decode.d1.loss_dice: 1.4182, decode.d2.loss_cls: 1.0142, decode.d2.loss_mask: 0.8349, decode.d2.loss_dice: 1.3581, decode.d3.loss_cls: 0.9931, decode.d3.loss_mask: 0.8286, decode.d3.loss_dice: 1.3470, decode.d4.loss_cls: 0.9876, decode.d4.loss_mask: 0.8330, decode.d4.loss_dice: 1.3484, decode.d5.loss_cls: 0.9834, decode.d5.loss_mask: 0.8323, decode.d5.loss_dice: 1.3376, decode.d6.loss_cls: 0.9799, decode.d6.loss_mask: 0.8326, decode.d6.loss_dice: 1.3358, decode.d7.loss_cls: 0.9796, decode.d7.loss_mask: 0.8323, decode.d7.loss_dice: 1.3352, decode.d8.loss_cls: 0.9806, decode.d8.loss_mask: 0.8260, decode.d8.loss_dice: 1.3300, loss: 35.0404 2022-09-12 11:15:49,652 - mmseg - INFO - Iter [13500/80000] lr: 1.194e-06, eta: 1 day, 11:41:16, time: 1.880, data_time: 0.015, memory: 42763, decode.loss_cls: 1.0045, decode.loss_mask: 0.8584, decode.loss_dice: 1.3080, decode.d0.loss_cls: 3.9787, decode.d0.loss_mask: 0.8266, decode.d0.loss_dice: 1.5358, decode.d1.loss_cls: 1.1083, decode.d1.loss_mask: 0.8757, decode.d1.loss_dice: 1.3796, decode.d2.loss_cls: 1.0364, decode.d2.loss_mask: 0.8575, decode.d2.loss_dice: 1.3459, decode.d3.loss_cls: 1.0229, decode.d3.loss_mask: 0.8538, decode.d3.loss_dice: 1.3219, decode.d4.loss_cls: 1.0220, decode.d4.loss_mask: 0.8528, decode.d4.loss_dice: 1.3200, decode.d5.loss_cls: 1.0162, decode.d5.loss_mask: 0.8537, decode.d5.loss_dice: 1.3167, decode.d6.loss_cls: 1.0094, decode.d6.loss_mask: 0.8475, decode.d6.loss_dice: 1.3093, decode.d7.loss_cls: 1.0037, decode.d7.loss_mask: 0.8538, decode.d7.loss_dice: 1.3127, decode.d8.loss_cls: 1.0022, decode.d8.loss_mask: 0.8562, decode.d8.loss_dice: 1.3125, loss: 35.2029 2022-09-12 11:17:23,057 - mmseg - INFO - Iter [13550/80000] lr: 1.193e-06, eta: 1 day, 11:39:24, time: 1.868, data_time: 0.015, memory: 42763, decode.loss_cls: 1.0251, decode.loss_mask: 0.8326, decode.loss_dice: 1.3103, decode.d0.loss_cls: 4.0155, decode.d0.loss_mask: 0.8159, decode.d0.loss_dice: 1.5458, decode.d1.loss_cls: 1.1028, decode.d1.loss_mask: 0.8532, decode.d1.loss_dice: 1.3964, decode.d2.loss_cls: 1.0483, decode.d2.loss_mask: 0.8364, decode.d2.loss_dice: 1.3431, decode.d3.loss_cls: 1.0384, decode.d3.loss_mask: 0.8345, decode.d3.loss_dice: 1.3263, decode.d4.loss_cls: 1.0361, decode.d4.loss_mask: 0.8336, decode.d4.loss_dice: 1.3246, decode.d5.loss_cls: 1.0258, decode.d5.loss_mask: 0.8296, decode.d5.loss_dice: 1.3162, decode.d6.loss_cls: 1.0337, decode.d6.loss_mask: 0.8309, decode.d6.loss_dice: 1.3121, decode.d7.loss_cls: 1.0325, decode.d7.loss_mask: 0.8307, decode.d7.loss_dice: 1.3149, decode.d8.loss_cls: 1.0223, decode.d8.loss_mask: 0.8305, decode.d8.loss_dice: 1.3184, loss: 35.2164 2022-09-12 11:18:57,713 - mmseg - INFO - Iter [13600/80000] lr: 1.192e-06, eta: 1 day, 11:37:38, time: 1.893, data_time: 0.015, memory: 42763, decode.loss_cls: 1.0176, decode.loss_mask: 0.8476, decode.loss_dice: 1.3254, decode.d0.loss_cls: 4.0040, decode.d0.loss_mask: 0.8276, decode.d0.loss_dice: 1.5600, decode.d1.loss_cls: 1.1037, decode.d1.loss_mask: 0.8693, decode.d1.loss_dice: 1.4143, decode.d2.loss_cls: 1.0435, decode.d2.loss_mask: 0.8508, decode.d2.loss_dice: 1.3683, decode.d3.loss_cls: 1.0213, decode.d3.loss_mask: 0.8512, decode.d3.loss_dice: 1.3419, decode.d4.loss_cls: 1.0307, decode.d4.loss_mask: 0.8443, decode.d4.loss_dice: 1.3427, decode.d5.loss_cls: 1.0185, decode.d5.loss_mask: 0.8452, decode.d5.loss_dice: 1.3359, decode.d6.loss_cls: 1.0160, decode.d6.loss_mask: 0.8402, decode.d6.loss_dice: 1.3273, decode.d7.loss_cls: 1.0165, decode.d7.loss_mask: 0.8419, decode.d7.loss_dice: 1.3289, decode.d8.loss_cls: 1.0113, decode.d8.loss_mask: 0.8393, decode.d8.loss_dice: 1.3266, loss: 35.4120 2022-09-12 11:20:31,082 - mmseg - INFO - Iter [13650/80000] lr: 1.191e-06, eta: 1 day, 11:35:45, time: 1.866, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0273, decode.loss_mask: 0.8472, decode.loss_dice: 1.3161, decode.d0.loss_cls: 3.9621, decode.d0.loss_mask: 0.8315, decode.d0.loss_dice: 1.5587, decode.d1.loss_cls: 1.1039, decode.d1.loss_mask: 0.8688, decode.d1.loss_dice: 1.3912, decode.d2.loss_cls: 1.0559, decode.d2.loss_mask: 0.8462, decode.d2.loss_dice: 1.3515, decode.d3.loss_cls: 1.0346, decode.d3.loss_mask: 0.8483, decode.d3.loss_dice: 1.3294, decode.d4.loss_cls: 1.0309, decode.d4.loss_mask: 0.8453, decode.d4.loss_dice: 1.3320, decode.d5.loss_cls: 1.0255, decode.d5.loss_mask: 0.8502, decode.d5.loss_dice: 1.3266, decode.d6.loss_cls: 1.0184, decode.d6.loss_mask: 0.8506, decode.d6.loss_dice: 1.3196, decode.d7.loss_cls: 1.0126, decode.d7.loss_mask: 0.8553, decode.d7.loss_dice: 1.3166, decode.d8.loss_cls: 1.0152, decode.d8.loss_mask: 0.8472, decode.d8.loss_dice: 1.3241, loss: 35.3427 2022-09-12 11:22:04,531 - mmseg - INFO - Iter [13700/80000] lr: 1.190e-06, eta: 1 day, 11:33:54, time: 1.871, data_time: 0.018, memory: 42763, decode.loss_cls: 0.9676, decode.loss_mask: 0.8079, decode.loss_dice: 1.3158, decode.d0.loss_cls: 3.9297, decode.d0.loss_mask: 0.7858, decode.d0.loss_dice: 1.5316, decode.d1.loss_cls: 1.0477, decode.d1.loss_mask: 0.8308, decode.d1.loss_dice: 1.3862, decode.d2.loss_cls: 0.9828, decode.d2.loss_mask: 0.8175, decode.d2.loss_dice: 1.3375, decode.d3.loss_cls: 0.9773, decode.d3.loss_mask: 0.8088, decode.d3.loss_dice: 1.3106, decode.d4.loss_cls: 0.9744, decode.d4.loss_mask: 0.8062, decode.d4.loss_dice: 1.3160, decode.d5.loss_cls: 0.9635, decode.d5.loss_mask: 0.8090, decode.d5.loss_dice: 1.3113, decode.d6.loss_cls: 0.9622, decode.d6.loss_mask: 0.8091, decode.d6.loss_dice: 1.3090, decode.d7.loss_cls: 0.9616, decode.d7.loss_mask: 0.8025, decode.d7.loss_dice: 1.3104, decode.d8.loss_cls: 0.9575, decode.d8.loss_mask: 0.8058, decode.d8.loss_dice: 1.3071, loss: 34.2431 2022-09-12 11:23:38,389 - mmseg - INFO - Iter [13750/80000] lr: 1.189e-06, eta: 1 day, 11:32:05, time: 1.877, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9999, decode.loss_mask: 0.8374, decode.loss_dice: 1.3033, decode.d0.loss_cls: 3.8798, decode.d0.loss_mask: 0.8145, decode.d0.loss_dice: 1.5384, decode.d1.loss_cls: 1.0837, decode.d1.loss_mask: 0.8553, decode.d1.loss_dice: 1.3732, decode.d2.loss_cls: 1.0243, decode.d2.loss_mask: 0.8403, decode.d2.loss_dice: 1.3289, decode.d3.loss_cls: 1.0080, decode.d3.loss_mask: 0.8392, decode.d3.loss_dice: 1.3161, decode.d4.loss_cls: 1.0063, decode.d4.loss_mask: 0.8350, decode.d4.loss_dice: 1.3099, decode.d5.loss_cls: 1.0040, decode.d5.loss_mask: 0.8335, decode.d5.loss_dice: 1.3082, decode.d6.loss_cls: 0.9953, decode.d6.loss_mask: 0.8370, decode.d6.loss_dice: 1.2928, decode.d7.loss_cls: 0.9890, decode.d7.loss_mask: 0.8371, decode.d7.loss_dice: 1.2936, decode.d8.loss_cls: 0.9898, decode.d8.loss_mask: 0.8381, decode.d8.loss_dice: 1.2986, loss: 34.7104 2022-09-12 11:25:11,418 - mmseg - INFO - Iter [13800/80000] lr: 1.188e-06, eta: 1 day, 11:30:11, time: 1.861, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9339, decode.loss_mask: 0.8219, decode.loss_dice: 1.3187, decode.d0.loss_cls: 3.8579, decode.d0.loss_mask: 0.8097, decode.d0.loss_dice: 1.5402, decode.d1.loss_cls: 1.0337, decode.d1.loss_mask: 0.8326, decode.d1.loss_dice: 1.3876, decode.d2.loss_cls: 0.9708, decode.d2.loss_mask: 0.8193, decode.d2.loss_dice: 1.3376, decode.d3.loss_cls: 0.9467, decode.d3.loss_mask: 0.8203, decode.d3.loss_dice: 1.3221, decode.d4.loss_cls: 0.9440, decode.d4.loss_mask: 0.8216, decode.d4.loss_dice: 1.3232, decode.d5.loss_cls: 0.9362, decode.d5.loss_mask: 0.8200, decode.d5.loss_dice: 1.3268, decode.d6.loss_cls: 0.9370, decode.d6.loss_mask: 0.8142, decode.d6.loss_dice: 1.3274, decode.d7.loss_cls: 0.9267, decode.d7.loss_mask: 0.8246, decode.d7.loss_dice: 1.3221, decode.d8.loss_cls: 0.9227, decode.d8.loss_mask: 0.8222, decode.d8.loss_dice: 1.3204, loss: 34.1418 2022-09-12 11:26:45,837 - mmseg - INFO - Iter [13850/80000] lr: 1.187e-06, eta: 1 day, 11:28:25, time: 1.888, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9781, decode.loss_mask: 0.8351, decode.loss_dice: 1.3002, decode.d0.loss_cls: 3.8818, decode.d0.loss_mask: 0.8205, decode.d0.loss_dice: 1.5208, decode.d1.loss_cls: 1.0681, decode.d1.loss_mask: 0.8575, decode.d1.loss_dice: 1.3681, decode.d2.loss_cls: 1.0017, decode.d2.loss_mask: 0.8360, decode.d2.loss_dice: 1.3137, decode.d3.loss_cls: 0.9811, decode.d3.loss_mask: 0.8358, decode.d3.loss_dice: 1.3018, decode.d4.loss_cls: 0.9784, decode.d4.loss_mask: 0.8359, decode.d4.loss_dice: 1.2969, decode.d5.loss_cls: 0.9793, decode.d5.loss_mask: 0.8349, decode.d5.loss_dice: 1.2934, decode.d6.loss_cls: 0.9757, decode.d6.loss_mask: 0.8353, decode.d6.loss_dice: 1.2937, decode.d7.loss_cls: 0.9724, decode.d7.loss_mask: 0.8389, decode.d7.loss_dice: 1.2927, decode.d8.loss_cls: 0.9692, decode.d8.loss_mask: 0.8322, decode.d8.loss_dice: 1.2943, loss: 34.4235 2022-09-12 11:28:20,006 - mmseg - INFO - Iter [13900/80000] lr: 1.186e-06, eta: 1 day, 11:26:37, time: 1.884, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9604, decode.loss_mask: 0.8305, decode.loss_dice: 1.2831, decode.d0.loss_cls: 3.8636, decode.d0.loss_mask: 0.8166, decode.d0.loss_dice: 1.5085, decode.d1.loss_cls: 1.0558, decode.d1.loss_mask: 0.8552, decode.d1.loss_dice: 1.3647, decode.d2.loss_cls: 0.9824, decode.d2.loss_mask: 0.8431, decode.d2.loss_dice: 1.3105, decode.d3.loss_cls: 0.9703, decode.d3.loss_mask: 0.8403, decode.d3.loss_dice: 1.2986, decode.d4.loss_cls: 0.9675, decode.d4.loss_mask: 0.8330, decode.d4.loss_dice: 1.2954, decode.d5.loss_cls: 0.9574, decode.d5.loss_mask: 0.8324, decode.d5.loss_dice: 1.2826, decode.d6.loss_cls: 0.9559, decode.d6.loss_mask: 0.8309, decode.d6.loss_dice: 1.2830, decode.d7.loss_cls: 0.9540, decode.d7.loss_mask: 0.8318, decode.d7.loss_dice: 1.2888, decode.d8.loss_cls: 0.9493, decode.d8.loss_mask: 0.8360, decode.d8.loss_dice: 1.2855, loss: 34.1671 2022-09-12 11:29:53,469 - mmseg - INFO - Iter [13950/80000] lr: 1.185e-06, eta: 1 day, 11:24:45, time: 1.866, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9676, decode.loss_mask: 0.8437, decode.loss_dice: 1.2959, decode.d0.loss_cls: 3.8516, decode.d0.loss_mask: 0.8183, decode.d0.loss_dice: 1.4966, decode.d1.loss_cls: 1.0415, decode.d1.loss_mask: 0.8689, decode.d1.loss_dice: 1.3652, decode.d2.loss_cls: 0.9805, decode.d2.loss_mask: 0.8486, decode.d2.loss_dice: 1.3214, decode.d3.loss_cls: 0.9690, decode.d3.loss_mask: 0.8440, decode.d3.loss_dice: 1.3126, decode.d4.loss_cls: 0.9716, decode.d4.loss_mask: 0.8355, decode.d4.loss_dice: 1.2988, decode.d5.loss_cls: 0.9702, decode.d5.loss_mask: 0.8349, decode.d5.loss_dice: 1.3016, decode.d6.loss_cls: 0.9639, decode.d6.loss_mask: 0.8426, decode.d6.loss_dice: 1.2890, decode.d7.loss_cls: 0.9625, decode.d7.loss_mask: 0.8442, decode.d7.loss_dice: 1.2968, decode.d8.loss_cls: 0.9570, decode.d8.loss_mask: 0.8452, decode.d8.loss_dice: 1.2955, loss: 34.3347 2022-09-12 11:31:27,273 - mmseg - INFO - Saving checkpoint at 14000 iterations 2022-09-12 11:31:56,587 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 11:31:56,589 - mmseg - INFO - Iter [14000/80000] lr: 1.185e-06, eta: 1 day, 11:25:14, time: 2.464, data_time: 0.019, memory: 42763, decode.loss_cls: 0.9680, decode.loss_mask: 0.8301, decode.loss_dice: 1.2924, decode.d0.loss_cls: 3.8048, decode.d0.loss_mask: 0.8087, decode.d0.loss_dice: 1.5045, decode.d1.loss_cls: 1.0652, decode.d1.loss_mask: 0.8393, decode.d1.loss_dice: 1.3686, decode.d2.loss_cls: 1.0003, decode.d2.loss_mask: 0.8309, decode.d2.loss_dice: 1.3158, decode.d3.loss_cls: 0.9794, decode.d3.loss_mask: 0.8296, decode.d3.loss_dice: 1.3038, decode.d4.loss_cls: 0.9817, decode.d4.loss_mask: 0.8238, decode.d4.loss_dice: 1.2938, decode.d5.loss_cls: 0.9670, decode.d5.loss_mask: 0.8249, decode.d5.loss_dice: 1.2868, decode.d6.loss_cls: 0.9660, decode.d6.loss_mask: 0.8227, decode.d6.loss_dice: 1.2792, decode.d7.loss_cls: 0.9626, decode.d7.loss_mask: 0.8239, decode.d7.loss_dice: 1.2824, decode.d8.loss_cls: 0.9615, decode.d8.loss_mask: 0.8279, decode.d8.loss_dice: 1.2890, loss: 34.1347 2022-09-12 11:33:30,650 - mmseg - INFO - Iter [14050/80000] lr: 1.184e-06, eta: 1 day, 11:23:26, time: 1.883, data_time: 0.018, memory: 42763, decode.loss_cls: 0.9801, decode.loss_mask: 0.8537, decode.loss_dice: 1.3440, decode.d0.loss_cls: 3.8182, decode.d0.loss_mask: 0.8339, decode.d0.loss_dice: 1.5542, decode.d1.loss_cls: 1.0626, decode.d1.loss_mask: 0.8778, decode.d1.loss_dice: 1.4142, decode.d2.loss_cls: 1.0071, decode.d2.loss_mask: 0.8598, decode.d2.loss_dice: 1.3685, decode.d3.loss_cls: 0.9925, decode.d3.loss_mask: 0.8519, decode.d3.loss_dice: 1.3553, decode.d4.loss_cls: 0.9865, decode.d4.loss_mask: 0.8550, decode.d4.loss_dice: 1.3504, decode.d5.loss_cls: 0.9795, decode.d5.loss_mask: 0.8526, decode.d5.loss_dice: 1.3429, decode.d6.loss_cls: 0.9754, decode.d6.loss_mask: 0.8534, decode.d6.loss_dice: 1.3404, decode.d7.loss_cls: 0.9662, decode.d7.loss_mask: 0.8586, decode.d7.loss_dice: 1.3440, decode.d8.loss_cls: 0.9735, decode.d8.loss_mask: 0.8540, decode.d8.loss_dice: 1.3444, loss: 35.0505 2022-09-12 11:35:05,941 - mmseg - INFO - Iter [14100/80000] lr: 1.183e-06, eta: 1 day, 11:21:44, time: 1.906, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9599, decode.loss_mask: 0.8315, decode.loss_dice: 1.3175, decode.d0.loss_cls: 3.7913, decode.d0.loss_mask: 0.8102, decode.d0.loss_dice: 1.5393, decode.d1.loss_cls: 1.0424, decode.d1.loss_mask: 0.8551, decode.d1.loss_dice: 1.3950, decode.d2.loss_cls: 0.9796, decode.d2.loss_mask: 0.8368, decode.d2.loss_dice: 1.3403, decode.d3.loss_cls: 0.9612, decode.d3.loss_mask: 0.8322, decode.d3.loss_dice: 1.3196, decode.d4.loss_cls: 0.9531, decode.d4.loss_mask: 0.8350, decode.d4.loss_dice: 1.3251, decode.d5.loss_cls: 0.9488, decode.d5.loss_mask: 0.8254, decode.d5.loss_dice: 1.3178, decode.d6.loss_cls: 0.9543, decode.d6.loss_mask: 0.8274, decode.d6.loss_dice: 1.3176, decode.d7.loss_cls: 0.9481, decode.d7.loss_mask: 0.8311, decode.d7.loss_dice: 1.3203, decode.d8.loss_cls: 0.9492, decode.d8.loss_mask: 0.8283, decode.d8.loss_dice: 1.3105, loss: 34.3035 2022-09-12 11:36:39,378 - mmseg - INFO - Iter [14150/80000] lr: 1.182e-06, eta: 1 day, 11:19:52, time: 1.869, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9947, decode.loss_mask: 0.8422, decode.loss_dice: 1.3255, decode.d0.loss_cls: 3.7956, decode.d0.loss_mask: 0.8273, decode.d0.loss_dice: 1.5499, decode.d1.loss_cls: 1.0881, decode.d1.loss_mask: 0.8689, decode.d1.loss_dice: 1.4135, decode.d2.loss_cls: 1.0180, decode.d2.loss_mask: 0.8529, decode.d2.loss_dice: 1.3519, decode.d3.loss_cls: 1.0046, decode.d3.loss_mask: 0.8484, decode.d3.loss_dice: 1.3270, decode.d4.loss_cls: 1.0083, decode.d4.loss_mask: 0.8462, decode.d4.loss_dice: 1.3278, decode.d5.loss_cls: 1.0000, decode.d5.loss_mask: 0.8425, decode.d5.loss_dice: 1.3203, decode.d6.loss_cls: 0.9981, decode.d6.loss_mask: 0.8368, decode.d6.loss_dice: 1.3192, decode.d7.loss_cls: 0.9823, decode.d7.loss_mask: 0.8395, decode.d7.loss_dice: 1.3260, decode.d8.loss_cls: 0.9873, decode.d8.loss_mask: 0.8418, decode.d8.loss_dice: 1.3211, loss: 34.9057 2022-09-12 11:38:13,664 - mmseg - INFO - Iter [14200/80000] lr: 1.181e-06, eta: 1 day, 11:18:05, time: 1.886, data_time: 0.015, memory: 42763, decode.loss_cls: 1.0130, decode.loss_mask: 0.8551, decode.loss_dice: 1.3295, decode.d0.loss_cls: 3.7901, decode.d0.loss_mask: 0.8429, decode.d0.loss_dice: 1.5672, decode.d1.loss_cls: 1.1038, decode.d1.loss_mask: 0.8720, decode.d1.loss_dice: 1.4157, decode.d2.loss_cls: 1.0334, decode.d2.loss_mask: 0.8613, decode.d2.loss_dice: 1.3614, decode.d3.loss_cls: 1.0215, decode.d3.loss_mask: 0.8549, decode.d3.loss_dice: 1.3429, decode.d4.loss_cls: 1.0209, decode.d4.loss_mask: 0.8546, decode.d4.loss_dice: 1.3421, decode.d5.loss_cls: 1.0087, decode.d5.loss_mask: 0.8557, decode.d5.loss_dice: 1.3314, decode.d6.loss_cls: 1.0084, decode.d6.loss_mask: 0.8538, decode.d6.loss_dice: 1.3197, decode.d7.loss_cls: 1.0047, decode.d7.loss_mask: 0.8498, decode.d7.loss_dice: 1.3257, decode.d8.loss_cls: 0.9991, decode.d8.loss_mask: 0.8577, decode.d8.loss_dice: 1.3278, loss: 35.2248 2022-09-12 11:39:45,483 - mmseg - INFO - Iter [14250/80000] lr: 1.180e-06, eta: 1 day, 11:16:07, time: 1.836, data_time: 0.017, memory: 42763, decode.loss_cls: 0.9793, decode.loss_mask: 0.8372, decode.loss_dice: 1.3026, decode.d0.loss_cls: 3.7558, decode.d0.loss_mask: 0.8191, decode.d0.loss_dice: 1.5295, decode.d1.loss_cls: 1.0753, decode.d1.loss_mask: 0.8700, decode.d1.loss_dice: 1.3949, decode.d2.loss_cls: 1.0039, decode.d2.loss_mask: 0.8500, decode.d2.loss_dice: 1.3363, decode.d3.loss_cls: 0.9864, decode.d3.loss_mask: 0.8439, decode.d3.loss_dice: 1.3147, decode.d4.loss_cls: 0.9905, decode.d4.loss_mask: 0.8485, decode.d4.loss_dice: 1.3168, decode.d5.loss_cls: 0.9795, decode.d5.loss_mask: 0.8460, decode.d5.loss_dice: 1.3063, decode.d6.loss_cls: 0.9780, decode.d6.loss_mask: 0.8398, decode.d6.loss_dice: 1.3002, decode.d7.loss_cls: 0.9753, decode.d7.loss_mask: 0.8372, decode.d7.loss_dice: 1.2993, decode.d8.loss_cls: 0.9712, decode.d8.loss_mask: 0.8407, decode.d8.loss_dice: 1.3017, loss: 34.5301 2022-09-12 11:41:18,396 - mmseg - INFO - Iter [14300/80000] lr: 1.179e-06, eta: 1 day, 11:14:13, time: 1.858, data_time: 0.014, memory: 42763, decode.loss_cls: 0.9333, decode.loss_mask: 0.8229, decode.loss_dice: 1.3100, decode.d0.loss_cls: 3.6779, decode.d0.loss_mask: 0.8087, decode.d0.loss_dice: 1.5144, decode.d1.loss_cls: 1.0230, decode.d1.loss_mask: 0.8525, decode.d1.loss_dice: 1.3859, decode.d2.loss_cls: 0.9612, decode.d2.loss_mask: 0.8280, decode.d2.loss_dice: 1.3286, decode.d3.loss_cls: 0.9486, decode.d3.loss_mask: 0.8255, decode.d3.loss_dice: 1.3179, decode.d4.loss_cls: 0.9444, decode.d4.loss_mask: 0.8207, decode.d4.loss_dice: 1.3145, decode.d5.loss_cls: 0.9358, decode.d5.loss_mask: 0.8221, decode.d5.loss_dice: 1.3137, decode.d6.loss_cls: 0.9245, decode.d6.loss_mask: 0.8180, decode.d6.loss_dice: 1.3089, decode.d7.loss_cls: 0.9197, decode.d7.loss_mask: 0.8250, decode.d7.loss_dice: 1.3133, decode.d8.loss_cls: 0.9215, decode.d8.loss_mask: 0.8246, decode.d8.loss_dice: 1.3057, loss: 33.8508 2022-09-12 11:42:51,951 - mmseg - INFO - Iter [14350/80000] lr: 1.178e-06, eta: 1 day, 11:12:23, time: 1.872, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9807, decode.loss_mask: 0.8324, decode.loss_dice: 1.3370, decode.d0.loss_cls: 3.7445, decode.d0.loss_mask: 0.8267, decode.d0.loss_dice: 1.5744, decode.d1.loss_cls: 1.0860, decode.d1.loss_mask: 0.8560, decode.d1.loss_dice: 1.4152, decode.d2.loss_cls: 1.0080, decode.d2.loss_mask: 0.8455, decode.d2.loss_dice: 1.3587, decode.d3.loss_cls: 0.9941, decode.d3.loss_mask: 0.8387, decode.d3.loss_dice: 1.3538, decode.d4.loss_cls: 0.9888, decode.d4.loss_mask: 0.8357, decode.d4.loss_dice: 1.3414, decode.d5.loss_cls: 0.9880, decode.d5.loss_mask: 0.8304, decode.d5.loss_dice: 1.3369, decode.d6.loss_cls: 0.9751, decode.d6.loss_mask: 0.8294, decode.d6.loss_dice: 1.3320, decode.d7.loss_cls: 0.9728, decode.d7.loss_mask: 0.8346, decode.d7.loss_dice: 1.3327, decode.d8.loss_cls: 0.9771, decode.d8.loss_mask: 0.8313, decode.d8.loss_dice: 1.3391, loss: 34.7970 2022-09-12 11:44:25,377 - mmseg - INFO - Iter [14400/80000] lr: 1.177e-06, eta: 1 day, 11:10:32, time: 1.868, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9593, decode.loss_mask: 0.8391, decode.loss_dice: 1.2942, decode.d0.loss_cls: 3.6906, decode.d0.loss_mask: 0.8233, decode.d0.loss_dice: 1.5281, decode.d1.loss_cls: 1.0548, decode.d1.loss_mask: 0.8581, decode.d1.loss_dice: 1.3698, decode.d2.loss_cls: 0.9857, decode.d2.loss_mask: 0.8390, decode.d2.loss_dice: 1.3290, decode.d3.loss_cls: 0.9802, decode.d3.loss_mask: 0.8427, decode.d3.loss_dice: 1.3149, decode.d4.loss_cls: 0.9722, decode.d4.loss_mask: 0.8399, decode.d4.loss_dice: 1.3073, decode.d5.loss_cls: 0.9661, decode.d5.loss_mask: 0.8415, decode.d5.loss_dice: 1.2984, decode.d6.loss_cls: 0.9693, decode.d6.loss_mask: 0.8335, decode.d6.loss_dice: 1.2867, decode.d7.loss_cls: 0.9597, decode.d7.loss_mask: 0.8315, decode.d7.loss_dice: 1.2946, decode.d8.loss_cls: 0.9573, decode.d8.loss_mask: 0.8361, decode.d8.loss_dice: 1.2938, loss: 34.1968 2022-09-12 11:45:59,647 - mmseg - INFO - Iter [14450/80000] lr: 1.176e-06, eta: 1 day, 11:08:46, time: 1.885, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9203, decode.loss_mask: 0.8358, decode.loss_dice: 1.3005, decode.d0.loss_cls: 3.6521, decode.d0.loss_mask: 0.8147, decode.d0.loss_dice: 1.5178, decode.d1.loss_cls: 1.0225, decode.d1.loss_mask: 0.8587, decode.d1.loss_dice: 1.3780, decode.d2.loss_cls: 0.9641, decode.d2.loss_mask: 0.8446, decode.d2.loss_dice: 1.3325, decode.d3.loss_cls: 0.9506, decode.d3.loss_mask: 0.8360, decode.d3.loss_dice: 1.3234, decode.d4.loss_cls: 0.9410, decode.d4.loss_mask: 0.8396, decode.d4.loss_dice: 1.3093, decode.d5.loss_cls: 0.9262, decode.d5.loss_mask: 0.8341, decode.d5.loss_dice: 1.2993, decode.d6.loss_cls: 0.9247, decode.d6.loss_mask: 0.8371, decode.d6.loss_dice: 1.2869, decode.d7.loss_cls: 0.9274, decode.d7.loss_mask: 0.8384, decode.d7.loss_dice: 1.2934, decode.d8.loss_cls: 0.9233, decode.d8.loss_mask: 0.8353, decode.d8.loss_dice: 1.2905, loss: 33.8580 2022-09-12 11:47:32,976 - mmseg - INFO - Iter [14500/80000] lr: 1.176e-06, eta: 1 day, 11:06:55, time: 1.867, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9487, decode.loss_mask: 0.8761, decode.loss_dice: 1.2986, decode.d0.loss_cls: 3.5848, decode.d0.loss_mask: 0.8624, decode.d0.loss_dice: 1.5112, decode.d1.loss_cls: 1.0370, decode.d1.loss_mask: 0.8893, decode.d1.loss_dice: 1.3770, decode.d2.loss_cls: 0.9670, decode.d2.loss_mask: 0.8775, decode.d2.loss_dice: 1.3140, decode.d3.loss_cls: 0.9604, decode.d3.loss_mask: 0.8745, decode.d3.loss_dice: 1.3072, decode.d4.loss_cls: 0.9570, decode.d4.loss_mask: 0.8721, decode.d4.loss_dice: 1.3029, decode.d5.loss_cls: 0.9507, decode.d5.loss_mask: 0.8678, decode.d5.loss_dice: 1.3011, decode.d6.loss_cls: 0.9444, decode.d6.loss_mask: 0.8705, decode.d6.loss_dice: 1.2945, decode.d7.loss_cls: 0.9498, decode.d7.loss_mask: 0.8712, decode.d7.loss_dice: 1.3033, decode.d8.loss_cls: 0.9480, decode.d8.loss_mask: 0.8756, decode.d8.loss_dice: 1.3018, loss: 34.2964 2022-09-12 11:49:07,610 - mmseg - INFO - Iter [14550/80000] lr: 1.175e-06, eta: 1 day, 11:05:10, time: 1.892, data_time: 0.018, memory: 42763, decode.loss_cls: 0.9729, decode.loss_mask: 0.8249, decode.loss_dice: 1.2750, decode.d0.loss_cls: 3.6752, decode.d0.loss_mask: 0.8067, decode.d0.loss_dice: 1.4996, decode.d1.loss_cls: 1.0611, decode.d1.loss_mask: 0.8536, decode.d1.loss_dice: 1.3490, decode.d2.loss_cls: 1.0058, decode.d2.loss_mask: 0.8316, decode.d2.loss_dice: 1.2999, decode.d3.loss_cls: 0.9988, decode.d3.loss_mask: 0.8273, decode.d3.loss_dice: 1.2809, decode.d4.loss_cls: 0.9767, decode.d4.loss_mask: 0.8270, decode.d4.loss_dice: 1.2845, decode.d5.loss_cls: 0.9803, decode.d5.loss_mask: 0.8185, decode.d5.loss_dice: 1.2711, decode.d6.loss_cls: 0.9743, decode.d6.loss_mask: 0.8252, decode.d6.loss_dice: 1.2712, decode.d7.loss_cls: 0.9733, decode.d7.loss_mask: 0.8302, decode.d7.loss_dice: 1.2747, decode.d8.loss_cls: 0.9721, decode.d8.loss_mask: 0.8261, decode.d8.loss_dice: 1.2705, loss: 33.9381 2022-09-12 11:50:41,497 - mmseg - INFO - Iter [14600/80000] lr: 1.174e-06, eta: 1 day, 11:03:22, time: 1.879, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9370, decode.loss_mask: 0.8546, decode.loss_dice: 1.3084, decode.d0.loss_cls: 3.6249, decode.d0.loss_mask: 0.8384, decode.d0.loss_dice: 1.5327, decode.d1.loss_cls: 1.0402, decode.d1.loss_mask: 0.8776, decode.d1.loss_dice: 1.3865, decode.d2.loss_cls: 0.9713, decode.d2.loss_mask: 0.8593, decode.d2.loss_dice: 1.3423, decode.d3.loss_cls: 0.9535, decode.d3.loss_mask: 0.8584, decode.d3.loss_dice: 1.3233, decode.d4.loss_cls: 0.9559, decode.d4.loss_mask: 0.8507, decode.d4.loss_dice: 1.3185, decode.d5.loss_cls: 0.9464, decode.d5.loss_mask: 0.8500, decode.d5.loss_dice: 1.3115, decode.d6.loss_cls: 0.9367, decode.d6.loss_mask: 0.8534, decode.d6.loss_dice: 1.3059, decode.d7.loss_cls: 0.9388, decode.d7.loss_mask: 0.8478, decode.d7.loss_dice: 1.3072, decode.d8.loss_cls: 0.9382, decode.d8.loss_mask: 0.8504, decode.d8.loss_dice: 1.3039, loss: 34.2237 2022-09-12 11:52:16,300 - mmseg - INFO - Iter [14650/80000] lr: 1.173e-06, eta: 1 day, 11:01:38, time: 1.896, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9490, decode.loss_mask: 0.8148, decode.loss_dice: 1.3187, decode.d0.loss_cls: 3.6361, decode.d0.loss_mask: 0.7990, decode.d0.loss_dice: 1.5469, decode.d1.loss_cls: 1.0490, decode.d1.loss_mask: 0.8357, decode.d1.loss_dice: 1.4052, decode.d2.loss_cls: 0.9864, decode.d2.loss_mask: 0.8230, decode.d2.loss_dice: 1.3498, decode.d3.loss_cls: 0.9715, decode.d3.loss_mask: 0.8208, decode.d3.loss_dice: 1.3293, decode.d4.loss_cls: 0.9729, decode.d4.loss_mask: 0.8202, decode.d4.loss_dice: 1.3219, decode.d5.loss_cls: 0.9614, decode.d5.loss_mask: 0.8124, decode.d5.loss_dice: 1.3077, decode.d6.loss_cls: 0.9592, decode.d6.loss_mask: 0.8170, decode.d6.loss_dice: 1.3090, decode.d7.loss_cls: 0.9512, decode.d7.loss_mask: 0.8153, decode.d7.loss_dice: 1.3150, decode.d8.loss_cls: 0.9442, decode.d8.loss_mask: 0.8126, decode.d8.loss_dice: 1.3200, loss: 34.0751 2022-09-12 11:53:50,168 - mmseg - INFO - Iter [14700/80000] lr: 1.172e-06, eta: 1 day, 10:59:50, time: 1.877, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9449, decode.loss_mask: 0.8415, decode.loss_dice: 1.3135, decode.d0.loss_cls: 3.6131, decode.d0.loss_mask: 0.8116, decode.d0.loss_dice: 1.5173, decode.d1.loss_cls: 1.0482, decode.d1.loss_mask: 0.8525, decode.d1.loss_dice: 1.3827, decode.d2.loss_cls: 0.9741, decode.d2.loss_mask: 0.8382, decode.d2.loss_dice: 1.3290, decode.d3.loss_cls: 0.9532, decode.d3.loss_mask: 0.8334, decode.d3.loss_dice: 1.3195, decode.d4.loss_cls: 0.9497, decode.d4.loss_mask: 0.8319, decode.d4.loss_dice: 1.3231, decode.d5.loss_cls: 0.9391, decode.d5.loss_mask: 0.8367, decode.d5.loss_dice: 1.3181, decode.d6.loss_cls: 0.9476, decode.d6.loss_mask: 0.8422, decode.d6.loss_dice: 1.3098, decode.d7.loss_cls: 0.9387, decode.d7.loss_mask: 0.8436, decode.d7.loss_dice: 1.3138, decode.d8.loss_cls: 0.9378, decode.d8.loss_mask: 0.8402, decode.d8.loss_dice: 1.3124, loss: 34.0574 2022-09-12 11:55:25,551 - mmseg - INFO - Iter [14750/80000] lr: 1.171e-06, eta: 1 day, 10:58:08, time: 1.908, data_time: 0.016, memory: 42763, decode.loss_cls: 1.0247, decode.loss_mask: 0.8302, decode.loss_dice: 1.3554, decode.d0.loss_cls: 3.6703, decode.d0.loss_mask: 0.8176, decode.d0.loss_dice: 1.5910, decode.d1.loss_cls: 1.1241, decode.d1.loss_mask: 0.8588, decode.d1.loss_dice: 1.4404, decode.d2.loss_cls: 1.0602, decode.d2.loss_mask: 0.8371, decode.d2.loss_dice: 1.3861, decode.d3.loss_cls: 1.0430, decode.d3.loss_mask: 0.8388, decode.d3.loss_dice: 1.3573, decode.d4.loss_cls: 1.0440, decode.d4.loss_mask: 0.8287, decode.d4.loss_dice: 1.3567, decode.d5.loss_cls: 1.0264, decode.d5.loss_mask: 0.8289, decode.d5.loss_dice: 1.3436, decode.d6.loss_cls: 1.0271, decode.d6.loss_mask: 0.8288, decode.d6.loss_dice: 1.3430, decode.d7.loss_cls: 1.0218, decode.d7.loss_mask: 0.8303, decode.d7.loss_dice: 1.3523, decode.d8.loss_cls: 1.0186, decode.d8.loss_mask: 0.8286, decode.d8.loss_dice: 1.3496, loss: 35.2633 2022-09-12 11:57:02,209 - mmseg - INFO - Iter [14800/80000] lr: 1.170e-06, eta: 1 day, 10:56:33, time: 1.933, data_time: 0.064, memory: 42763, decode.loss_cls: 0.9719, decode.loss_mask: 0.8281, decode.loss_dice: 1.3292, decode.d0.loss_cls: 3.6318, decode.d0.loss_mask: 0.8267, decode.d0.loss_dice: 1.5522, decode.d1.loss_cls: 1.0613, decode.d1.loss_mask: 0.8523, decode.d1.loss_dice: 1.4121, decode.d2.loss_cls: 0.9953, decode.d2.loss_mask: 0.8350, decode.d2.loss_dice: 1.3614, decode.d3.loss_cls: 0.9827, decode.d3.loss_mask: 0.8321, decode.d3.loss_dice: 1.3434, decode.d4.loss_cls: 0.9855, decode.d4.loss_mask: 0.8292, decode.d4.loss_dice: 1.3424, decode.d5.loss_cls: 0.9770, decode.d5.loss_mask: 0.8287, decode.d5.loss_dice: 1.3348, decode.d6.loss_cls: 0.9720, decode.d6.loss_mask: 0.8293, decode.d6.loss_dice: 1.3196, decode.d7.loss_cls: 0.9752, decode.d7.loss_mask: 0.8259, decode.d7.loss_dice: 1.3376, decode.d8.loss_cls: 0.9657, decode.d8.loss_mask: 0.8296, decode.d8.loss_dice: 1.3294, loss: 34.4975 2022-09-12 11:58:35,899 - mmseg - INFO - Iter [14850/80000] lr: 1.169e-06, eta: 1 day, 10:54:44, time: 1.874, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9380, decode.loss_mask: 0.8233, decode.loss_dice: 1.2848, decode.d0.loss_cls: 3.5781, decode.d0.loss_mask: 0.8021, decode.d0.loss_dice: 1.4918, decode.d1.loss_cls: 1.0295, decode.d1.loss_mask: 0.8530, decode.d1.loss_dice: 1.3714, decode.d2.loss_cls: 0.9658, decode.d2.loss_mask: 0.8356, decode.d2.loss_dice: 1.3226, decode.d3.loss_cls: 0.9525, decode.d3.loss_mask: 0.8311, decode.d3.loss_dice: 1.3122, decode.d4.loss_cls: 0.9446, decode.d4.loss_mask: 0.8293, decode.d4.loss_dice: 1.3092, decode.d5.loss_cls: 0.9406, decode.d5.loss_mask: 0.8275, decode.d5.loss_dice: 1.2956, decode.d6.loss_cls: 0.9412, decode.d6.loss_mask: 0.8263, decode.d6.loss_dice: 1.2787, decode.d7.loss_cls: 0.9385, decode.d7.loss_mask: 0.8222, decode.d7.loss_dice: 1.2905, decode.d8.loss_cls: 0.9350, decode.d8.loss_mask: 0.8218, decode.d8.loss_dice: 1.2841, loss: 33.6769 2022-09-12 12:00:11,515 - mmseg - INFO - Iter [14900/80000] lr: 1.168e-06, eta: 1 day, 10:53:04, time: 1.913, data_time: 0.018, memory: 42763, decode.loss_cls: 0.9600, decode.loss_mask: 0.8269, decode.loss_dice: 1.3024, decode.d0.loss_cls: 3.5631, decode.d0.loss_mask: 0.8119, decode.d0.loss_dice: 1.5218, decode.d1.loss_cls: 1.0512, decode.d1.loss_mask: 0.8495, decode.d1.loss_dice: 1.3878, decode.d2.loss_cls: 0.9907, decode.d2.loss_mask: 0.8421, decode.d2.loss_dice: 1.3264, decode.d3.loss_cls: 0.9721, decode.d3.loss_mask: 0.8284, decode.d3.loss_dice: 1.3169, decode.d4.loss_cls: 0.9768, decode.d4.loss_mask: 0.8290, decode.d4.loss_dice: 1.3189, decode.d5.loss_cls: 0.9626, decode.d5.loss_mask: 0.8208, decode.d5.loss_dice: 1.3081, decode.d6.loss_cls: 0.9532, decode.d6.loss_mask: 0.8280, decode.d6.loss_dice: 1.3021, decode.d7.loss_cls: 0.9488, decode.d7.loss_mask: 0.8255, decode.d7.loss_dice: 1.2973, decode.d8.loss_cls: 0.9525, decode.d8.loss_mask: 0.8234, decode.d8.loss_dice: 1.3015, loss: 33.9998 2022-09-12 12:01:44,779 - mmseg - INFO - Iter [14950/80000] lr: 1.167e-06, eta: 1 day, 10:51:14, time: 1.865, data_time: 0.018, memory: 42763, decode.loss_cls: 0.9550, decode.loss_mask: 0.8342, decode.loss_dice: 1.2909, decode.d0.loss_cls: 3.5507, decode.d0.loss_mask: 0.8207, decode.d0.loss_dice: 1.5047, decode.d1.loss_cls: 1.0425, decode.d1.loss_mask: 0.8483, decode.d1.loss_dice: 1.3558, decode.d2.loss_cls: 0.9810, decode.d2.loss_mask: 0.8428, decode.d2.loss_dice: 1.3078, decode.d3.loss_cls: 0.9707, decode.d3.loss_mask: 0.8369, decode.d3.loss_dice: 1.3023, decode.d4.loss_cls: 0.9674, decode.d4.loss_mask: 0.8365, decode.d4.loss_dice: 1.2924, decode.d5.loss_cls: 0.9630, decode.d5.loss_mask: 0.8330, decode.d5.loss_dice: 1.2858, decode.d6.loss_cls: 0.9511, decode.d6.loss_mask: 0.8298, decode.d6.loss_dice: 1.2846, decode.d7.loss_cls: 0.9514, decode.d7.loss_mask: 0.8331, decode.d7.loss_dice: 1.2810, decode.d8.loss_cls: 0.9535, decode.d8.loss_mask: 0.8347, decode.d8.loss_dice: 1.2866, loss: 33.8283 2022-09-12 12:03:18,012 - mmseg - INFO - Saving checkpoint at 15000 iterations 2022-09-12 12:03:47,086 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 12:03:47,095 - mmseg - INFO - Iter [15000/80000] lr: 1.167e-06, eta: 1 day, 10:51:29, time: 2.443, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9368, decode.loss_mask: 0.8373, decode.loss_dice: 1.2872, decode.d0.loss_cls: 3.4972, decode.d0.loss_mask: 0.8227, decode.d0.loss_dice: 1.5077, decode.d1.loss_cls: 1.0152, decode.d1.loss_mask: 0.8638, decode.d1.loss_dice: 1.3801, decode.d2.loss_cls: 0.9635, decode.d2.loss_mask: 0.8527, decode.d2.loss_dice: 1.3306, decode.d3.loss_cls: 0.9502, decode.d3.loss_mask: 0.8480, decode.d3.loss_dice: 1.3055, decode.d4.loss_cls: 0.9490, decode.d4.loss_mask: 0.8462, decode.d4.loss_dice: 1.3077, decode.d5.loss_cls: 0.9378, decode.d5.loss_mask: 0.8463, decode.d5.loss_dice: 1.2877, decode.d6.loss_cls: 0.9399, decode.d6.loss_mask: 0.8366, decode.d6.loss_dice: 1.2919, decode.d7.loss_cls: 0.9340, decode.d7.loss_mask: 0.8402, decode.d7.loss_dice: 1.2878, decode.d8.loss_cls: 0.9334, decode.d8.loss_mask: 0.8403, decode.d8.loss_dice: 1.2886, loss: 33.7659 2022-09-12 12:05:20,852 - mmseg - INFO - Iter [15050/80000] lr: 1.166e-06, eta: 1 day, 10:49:41, time: 1.878, data_time: 0.019, memory: 42763, decode.loss_cls: 0.9758, decode.loss_mask: 0.8292, decode.loss_dice: 1.2909, decode.d0.loss_cls: 3.5401, decode.d0.loss_mask: 0.8213, decode.d0.loss_dice: 1.5195, decode.d1.loss_cls: 1.0505, decode.d1.loss_mask: 0.8516, decode.d1.loss_dice: 1.3877, decode.d2.loss_cls: 1.0002, decode.d2.loss_mask: 0.8402, decode.d2.loss_dice: 1.3350, decode.d3.loss_cls: 0.9837, decode.d3.loss_mask: 0.8319, decode.d3.loss_dice: 1.3071, decode.d4.loss_cls: 0.9843, decode.d4.loss_mask: 0.8303, decode.d4.loss_dice: 1.3084, decode.d5.loss_cls: 0.9761, decode.d5.loss_mask: 0.8301, decode.d5.loss_dice: 1.2968, decode.d6.loss_cls: 0.9799, decode.d6.loss_mask: 0.8282, decode.d6.loss_dice: 1.2968, decode.d7.loss_cls: 0.9726, decode.d7.loss_mask: 0.8242, decode.d7.loss_dice: 1.2938, decode.d8.loss_cls: 0.9698, decode.d8.loss_mask: 0.8281, decode.d8.loss_dice: 1.2917, loss: 34.0758 2022-09-12 12:06:54,852 - mmseg - INFO - Iter [15100/80000] lr: 1.165e-06, eta: 1 day, 10:47:53, time: 1.880, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9280, decode.loss_mask: 0.8252, decode.loss_dice: 1.2825, decode.d0.loss_cls: 3.5145, decode.d0.loss_mask: 0.8150, decode.d0.loss_dice: 1.4862, decode.d1.loss_cls: 1.0073, decode.d1.loss_mask: 0.8511, decode.d1.loss_dice: 1.3514, decode.d2.loss_cls: 0.9516, decode.d2.loss_mask: 0.8313, decode.d2.loss_dice: 1.3015, decode.d3.loss_cls: 0.9351, decode.d3.loss_mask: 0.8287, decode.d3.loss_dice: 1.2906, decode.d4.loss_cls: 0.9331, decode.d4.loss_mask: 0.8227, decode.d4.loss_dice: 1.2824, decode.d5.loss_cls: 0.9218, decode.d5.loss_mask: 0.8249, decode.d5.loss_dice: 1.2761, decode.d6.loss_cls: 0.9249, decode.d6.loss_mask: 0.8270, decode.d6.loss_dice: 1.2656, decode.d7.loss_cls: 0.9168, decode.d7.loss_mask: 0.8317, decode.d7.loss_dice: 1.2692, decode.d8.loss_cls: 0.9182, decode.d8.loss_mask: 0.8313, decode.d8.loss_dice: 1.2758, loss: 33.3217 2022-09-12 12:08:28,757 - mmseg - INFO - Iter [15150/80000] lr: 1.164e-06, eta: 1 day, 10:46:06, time: 1.878, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9928, decode.loss_mask: 0.8262, decode.loss_dice: 1.3512, decode.d0.loss_cls: 3.5669, decode.d0.loss_mask: 0.8018, decode.d0.loss_dice: 1.5670, decode.d1.loss_cls: 1.0804, decode.d1.loss_mask: 0.8392, decode.d1.loss_dice: 1.4277, decode.d2.loss_cls: 1.0171, decode.d2.loss_mask: 0.8276, decode.d2.loss_dice: 1.3747, decode.d3.loss_cls: 1.0053, decode.d3.loss_mask: 0.8175, decode.d3.loss_dice: 1.3545, decode.d4.loss_cls: 1.0071, decode.d4.loss_mask: 0.8183, decode.d4.loss_dice: 1.3573, decode.d5.loss_cls: 0.9881, decode.d5.loss_mask: 0.8167, decode.d5.loss_dice: 1.3439, decode.d6.loss_cls: 0.9901, decode.d6.loss_mask: 0.8207, decode.d6.loss_dice: 1.3430, decode.d7.loss_cls: 0.9851, decode.d7.loss_mask: 0.8226, decode.d7.loss_dice: 1.3425, decode.d8.loss_cls: 0.9885, decode.d8.loss_mask: 0.8183, decode.d8.loss_dice: 1.3417, loss: 34.6337 2022-09-12 12:10:02,952 - mmseg - INFO - Iter [15200/80000] lr: 1.163e-06, eta: 1 day, 10:44:19, time: 1.884, data_time: 0.014, memory: 42763, decode.loss_cls: 0.9423, decode.loss_mask: 0.8202, decode.loss_dice: 1.2952, decode.d0.loss_cls: 3.4906, decode.d0.loss_mask: 0.8028, decode.d0.loss_dice: 1.5078, decode.d1.loss_cls: 1.0337, decode.d1.loss_mask: 0.8453, decode.d1.loss_dice: 1.3832, decode.d2.loss_cls: 0.9627, decode.d2.loss_mask: 0.8278, decode.d2.loss_dice: 1.3237, decode.d3.loss_cls: 0.9524, decode.d3.loss_mask: 0.8241, decode.d3.loss_dice: 1.3112, decode.d4.loss_cls: 0.9428, decode.d4.loss_mask: 0.8285, decode.d4.loss_dice: 1.3001, decode.d5.loss_cls: 0.9371, decode.d5.loss_mask: 0.8225, decode.d5.loss_dice: 1.2998, decode.d6.loss_cls: 0.9387, decode.d6.loss_mask: 0.8185, decode.d6.loss_dice: 1.2914, decode.d7.loss_cls: 0.9374, decode.d7.loss_mask: 0.8156, decode.d7.loss_dice: 1.2883, decode.d8.loss_cls: 0.9392, decode.d8.loss_mask: 0.8190, decode.d8.loss_dice: 1.2918, loss: 33.5935 2022-09-12 12:11:36,904 - mmseg - INFO - Iter [15250/80000] lr: 1.162e-06, eta: 1 day, 10:42:32, time: 1.877, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9969, decode.loss_mask: 0.8125, decode.loss_dice: 1.2801, decode.d0.loss_cls: 3.4745, decode.d0.loss_mask: 0.8035, decode.d0.loss_dice: 1.5157, decode.d1.loss_cls: 1.0848, decode.d1.loss_mask: 0.8307, decode.d1.loss_dice: 1.3689, decode.d2.loss_cls: 1.0296, decode.d2.loss_mask: 0.8177, decode.d2.loss_dice: 1.3139, decode.d3.loss_cls: 1.0087, decode.d3.loss_mask: 0.8181, decode.d3.loss_dice: 1.2980, decode.d4.loss_cls: 1.0086, decode.d4.loss_mask: 0.8196, decode.d4.loss_dice: 1.2923, decode.d5.loss_cls: 0.9896, decode.d5.loss_mask: 0.8157, decode.d5.loss_dice: 1.2941, decode.d6.loss_cls: 0.9933, decode.d6.loss_mask: 0.8210, decode.d6.loss_dice: 1.2848, decode.d7.loss_cls: 0.9950, decode.d7.loss_mask: 0.8143, decode.d7.loss_dice: 1.2759, decode.d8.loss_cls: 0.9834, decode.d8.loss_mask: 0.8157, decode.d8.loss_dice: 1.2803, loss: 33.9374 2022-09-12 12:13:11,016 - mmseg - INFO - Iter [15300/80000] lr: 1.161e-06, eta: 1 day, 10:40:46, time: 1.884, data_time: 0.017, memory: 42763, decode.loss_cls: 0.9240, decode.loss_mask: 0.8223, decode.loss_dice: 1.2828, decode.d0.loss_cls: 3.4567, decode.d0.loss_mask: 0.8118, decode.d0.loss_dice: 1.5071, decode.d1.loss_cls: 1.0162, decode.d1.loss_mask: 0.8461, decode.d1.loss_dice: 1.3654, decode.d2.loss_cls: 0.9457, decode.d2.loss_mask: 0.8306, decode.d2.loss_dice: 1.3180, decode.d3.loss_cls: 0.9386, decode.d3.loss_mask: 0.8273, decode.d3.loss_dice: 1.3038, decode.d4.loss_cls: 0.9381, decode.d4.loss_mask: 0.8260, decode.d4.loss_dice: 1.3006, decode.d5.loss_cls: 0.9176, decode.d5.loss_mask: 0.8251, decode.d5.loss_dice: 1.2848, decode.d6.loss_cls: 0.9170, decode.d6.loss_mask: 0.8266, decode.d6.loss_dice: 1.2801, decode.d7.loss_cls: 0.9095, decode.d7.loss_mask: 0.8216, decode.d7.loss_dice: 1.2819, decode.d8.loss_cls: 0.9091, decode.d8.loss_mask: 0.8261, decode.d8.loss_dice: 1.2820, loss: 33.3423 2022-09-12 12:14:44,700 - mmseg - INFO - Iter [15350/80000] lr: 1.160e-06, eta: 1 day, 10:38:57, time: 1.873, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9446, decode.loss_mask: 0.8454, decode.loss_dice: 1.2929, decode.d0.loss_cls: 3.4203, decode.d0.loss_mask: 0.8364, decode.d0.loss_dice: 1.5196, decode.d1.loss_cls: 1.0387, decode.d1.loss_mask: 0.8629, decode.d1.loss_dice: 1.3770, decode.d2.loss_cls: 0.9753, decode.d2.loss_mask: 0.8537, decode.d2.loss_dice: 1.3311, decode.d3.loss_cls: 0.9567, decode.d3.loss_mask: 0.8420, decode.d3.loss_dice: 1.3143, decode.d4.loss_cls: 0.9570, decode.d4.loss_mask: 0.8471, decode.d4.loss_dice: 1.3128, decode.d5.loss_cls: 0.9528, decode.d5.loss_mask: 0.8425, decode.d5.loss_dice: 1.3048, decode.d6.loss_cls: 0.9526, decode.d6.loss_mask: 0.8379, decode.d6.loss_dice: 1.2942, decode.d7.loss_cls: 0.9468, decode.d7.loss_mask: 0.8428, decode.d7.loss_dice: 1.2939, decode.d8.loss_cls: 0.9395, decode.d8.loss_mask: 0.8449, decode.d8.loss_dice: 1.2933, loss: 33.8739 2022-09-12 12:16:19,630 - mmseg - INFO - Iter [15400/80000] lr: 1.159e-06, eta: 1 day, 10:37:14, time: 1.898, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9572, decode.loss_mask: 0.8447, decode.loss_dice: 1.3170, decode.d0.loss_cls: 3.4170, decode.d0.loss_mask: 0.8296, decode.d0.loss_dice: 1.5372, decode.d1.loss_cls: 1.0272, decode.d1.loss_mask: 0.8581, decode.d1.loss_dice: 1.4053, decode.d2.loss_cls: 0.9715, decode.d2.loss_mask: 0.8478, decode.d2.loss_dice: 1.3550, decode.d3.loss_cls: 0.9592, decode.d3.loss_mask: 0.8471, decode.d3.loss_dice: 1.3370, decode.d4.loss_cls: 0.9595, decode.d4.loss_mask: 0.8490, decode.d4.loss_dice: 1.3365, decode.d5.loss_cls: 0.9559, decode.d5.loss_mask: 0.8414, decode.d5.loss_dice: 1.3211, decode.d6.loss_cls: 0.9535, decode.d6.loss_mask: 0.8426, decode.d6.loss_dice: 1.3185, decode.d7.loss_cls: 0.9502, decode.d7.loss_mask: 0.8405, decode.d7.loss_dice: 1.3241, decode.d8.loss_cls: 0.9482, decode.d8.loss_mask: 0.8431, decode.d8.loss_dice: 1.3228, loss: 34.1178 2022-09-12 12:17:52,748 - mmseg - INFO - Iter [15450/80000] lr: 1.159e-06, eta: 1 day, 10:35:24, time: 1.863, data_time: 0.017, memory: 42763, decode.loss_cls: 0.9560, decode.loss_mask: 0.8319, decode.loss_dice: 1.3066, decode.d0.loss_cls: 3.4450, decode.d0.loss_mask: 0.8084, decode.d0.loss_dice: 1.5264, decode.d1.loss_cls: 1.0513, decode.d1.loss_mask: 0.8469, decode.d1.loss_dice: 1.3830, decode.d2.loss_cls: 0.9907, decode.d2.loss_mask: 0.8338, decode.d2.loss_dice: 1.3399, decode.d3.loss_cls: 0.9757, decode.d3.loss_mask: 0.8327, decode.d3.loss_dice: 1.3178, decode.d4.loss_cls: 0.9667, decode.d4.loss_mask: 0.8370, decode.d4.loss_dice: 1.3200, decode.d5.loss_cls: 0.9663, decode.d5.loss_mask: 0.8294, decode.d5.loss_dice: 1.3163, decode.d6.loss_cls: 0.9573, decode.d6.loss_mask: 0.8260, decode.d6.loss_dice: 1.3107, decode.d7.loss_cls: 0.9560, decode.d7.loss_mask: 0.8287, decode.d7.loss_dice: 1.2981, decode.d8.loss_cls: 0.9503, decode.d8.loss_mask: 0.8327, decode.d8.loss_dice: 1.3132, loss: 33.9548 2022-09-12 12:19:26,565 - mmseg - INFO - Iter [15500/80000] lr: 1.158e-06, eta: 1 day, 10:33:36, time: 1.875, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9375, decode.loss_mask: 0.8375, decode.loss_dice: 1.3149, decode.d0.loss_cls: 3.4602, decode.d0.loss_mask: 0.8114, decode.d0.loss_dice: 1.5331, decode.d1.loss_cls: 1.0406, decode.d1.loss_mask: 0.8468, decode.d1.loss_dice: 1.3930, decode.d2.loss_cls: 0.9756, decode.d2.loss_mask: 0.8366, decode.d2.loss_dice: 1.3413, decode.d3.loss_cls: 0.9656, decode.d3.loss_mask: 0.8349, decode.d3.loss_dice: 1.3314, decode.d4.loss_cls: 0.9582, decode.d4.loss_mask: 0.8273, decode.d4.loss_dice: 1.3352, decode.d5.loss_cls: 0.9477, decode.d5.loss_mask: 0.8258, decode.d5.loss_dice: 1.3224, decode.d6.loss_cls: 0.9418, decode.d6.loss_mask: 0.8269, decode.d6.loss_dice: 1.3170, decode.d7.loss_cls: 0.9381, decode.d7.loss_mask: 0.8256, decode.d7.loss_dice: 1.3154, decode.d8.loss_cls: 0.9333, decode.d8.loss_mask: 0.8301, decode.d8.loss_dice: 1.3198, loss: 33.9251 2022-09-12 12:20:59,767 - mmseg - INFO - Iter [15550/80000] lr: 1.157e-06, eta: 1 day, 10:31:47, time: 1.866, data_time: 0.017, memory: 42763, decode.loss_cls: 0.9668, decode.loss_mask: 0.8231, decode.loss_dice: 1.3306, decode.d0.loss_cls: 3.4302, decode.d0.loss_mask: 0.8126, decode.d0.loss_dice: 1.5478, decode.d1.loss_cls: 1.0547, decode.d1.loss_mask: 0.8458, decode.d1.loss_dice: 1.4170, decode.d2.loss_cls: 0.9862, decode.d2.loss_mask: 0.8332, decode.d2.loss_dice: 1.3638, decode.d3.loss_cls: 0.9729, decode.d3.loss_mask: 0.8264, decode.d3.loss_dice: 1.3422, decode.d4.loss_cls: 0.9782, decode.d4.loss_mask: 0.8248, decode.d4.loss_dice: 1.3334, decode.d5.loss_cls: 0.9680, decode.d5.loss_mask: 0.8229, decode.d5.loss_dice: 1.3255, decode.d6.loss_cls: 0.9759, decode.d6.loss_mask: 0.8185, decode.d6.loss_dice: 1.3121, decode.d7.loss_cls: 0.9708, decode.d7.loss_mask: 0.8240, decode.d7.loss_dice: 1.3243, decode.d8.loss_cls: 0.9616, decode.d8.loss_mask: 0.8234, decode.d8.loss_dice: 1.3242, loss: 34.1410 2022-09-12 12:22:34,096 - mmseg - INFO - Iter [15600/80000] lr: 1.156e-06, eta: 1 day, 10:30:01, time: 1.887, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9464, decode.loss_mask: 0.8557, decode.loss_dice: 1.2831, decode.d0.loss_cls: 3.4208, decode.d0.loss_mask: 0.8307, decode.d0.loss_dice: 1.4973, decode.d1.loss_cls: 1.0319, decode.d1.loss_mask: 0.8696, decode.d1.loss_dice: 1.3649, decode.d2.loss_cls: 0.9765, decode.d2.loss_mask: 0.8613, decode.d2.loss_dice: 1.3140, decode.d3.loss_cls: 0.9569, decode.d3.loss_mask: 0.8530, decode.d3.loss_dice: 1.2985, decode.d4.loss_cls: 0.9501, decode.d4.loss_mask: 0.8591, decode.d4.loss_dice: 1.2960, decode.d5.loss_cls: 0.9423, decode.d5.loss_mask: 0.8585, decode.d5.loss_dice: 1.2938, decode.d6.loss_cls: 0.9447, decode.d6.loss_mask: 0.8505, decode.d6.loss_dice: 1.2861, decode.d7.loss_cls: 0.9391, decode.d7.loss_mask: 0.8580, decode.d7.loss_dice: 1.2889, decode.d8.loss_cls: 0.9377, decode.d8.loss_mask: 0.8584, decode.d8.loss_dice: 1.2934, loss: 33.8173 2022-09-12 12:24:07,423 - mmseg - INFO - Iter [15650/80000] lr: 1.155e-06, eta: 1 day, 10:28:12, time: 1.867, data_time: 0.014, memory: 42763, decode.loss_cls: 0.9407, decode.loss_mask: 0.8176, decode.loss_dice: 1.2723, decode.d0.loss_cls: 3.3465, decode.d0.loss_mask: 0.8098, decode.d0.loss_dice: 1.4839, decode.d1.loss_cls: 1.0000, decode.d1.loss_mask: 0.8547, decode.d1.loss_dice: 1.3580, decode.d2.loss_cls: 0.9532, decode.d2.loss_mask: 0.8321, decode.d2.loss_dice: 1.3043, decode.d3.loss_cls: 0.9433, decode.d3.loss_mask: 0.8250, decode.d3.loss_dice: 1.2845, decode.d4.loss_cls: 0.9419, decode.d4.loss_mask: 0.8183, decode.d4.loss_dice: 1.2854, decode.d5.loss_cls: 0.9340, decode.d5.loss_mask: 0.8178, decode.d5.loss_dice: 1.2695, decode.d6.loss_cls: 0.9342, decode.d6.loss_mask: 0.8213, decode.d6.loss_dice: 1.2682, decode.d7.loss_cls: 0.9319, decode.d7.loss_mask: 0.8168, decode.d7.loss_dice: 1.2691, decode.d8.loss_cls: 0.9272, decode.d8.loss_mask: 0.8142, decode.d8.loss_dice: 1.2670, loss: 33.1425 2022-09-12 12:25:40,779 - mmseg - INFO - Iter [15700/80000] lr: 1.154e-06, eta: 1 day, 10:26:23, time: 1.867, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9330, decode.loss_mask: 0.8235, decode.loss_dice: 1.2936, decode.d0.loss_cls: 3.3566, decode.d0.loss_mask: 0.8086, decode.d0.loss_dice: 1.5107, decode.d1.loss_cls: 1.0178, decode.d1.loss_mask: 0.8472, decode.d1.loss_dice: 1.3774, decode.d2.loss_cls: 0.9537, decode.d2.loss_mask: 0.8337, decode.d2.loss_dice: 1.3314, decode.d3.loss_cls: 0.9384, decode.d3.loss_mask: 0.8272, decode.d3.loss_dice: 1.3127, decode.d4.loss_cls: 0.9321, decode.d4.loss_mask: 0.8193, decode.d4.loss_dice: 1.3029, decode.d5.loss_cls: 0.9228, decode.d5.loss_mask: 0.8159, decode.d5.loss_dice: 1.2957, decode.d6.loss_cls: 0.9298, decode.d6.loss_mask: 0.8158, decode.d6.loss_dice: 1.2920, decode.d7.loss_cls: 0.9271, decode.d7.loss_mask: 0.8201, decode.d7.loss_dice: 1.2891, decode.d8.loss_cls: 0.9237, decode.d8.loss_mask: 0.8196, decode.d8.loss_dice: 1.2917, loss: 33.3629 2022-09-12 12:27:12,757 - mmseg - INFO - Iter [15750/80000] lr: 1.153e-06, eta: 1 day, 10:24:29, time: 1.839, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9187, decode.loss_mask: 0.8109, decode.loss_dice: 1.2812, decode.d0.loss_cls: 3.3883, decode.d0.loss_mask: 0.8034, decode.d0.loss_dice: 1.4953, decode.d1.loss_cls: 1.0114, decode.d1.loss_mask: 0.8313, decode.d1.loss_dice: 1.3538, decode.d2.loss_cls: 0.9436, decode.d2.loss_mask: 0.8214, decode.d2.loss_dice: 1.3042, decode.d3.loss_cls: 0.9251, decode.d3.loss_mask: 0.8140, decode.d3.loss_dice: 1.2888, decode.d4.loss_cls: 0.9240, decode.d4.loss_mask: 0.8145, decode.d4.loss_dice: 1.2853, decode.d5.loss_cls: 0.9164, decode.d5.loss_mask: 0.8125, decode.d5.loss_dice: 1.2793, decode.d6.loss_cls: 0.9193, decode.d6.loss_mask: 0.8175, decode.d6.loss_dice: 1.2725, decode.d7.loss_cls: 0.9184, decode.d7.loss_mask: 0.8166, decode.d7.loss_dice: 1.2781, decode.d8.loss_cls: 0.9106, decode.d8.loss_mask: 0.8141, decode.d8.loss_dice: 1.2794, loss: 33.0501 2022-09-12 12:28:46,099 - mmseg - INFO - Iter [15800/80000] lr: 1.152e-06, eta: 1 day, 10:22:40, time: 1.867, data_time: 0.017, memory: 42763, decode.loss_cls: 0.9561, decode.loss_mask: 0.8325, decode.loss_dice: 1.3049, decode.d0.loss_cls: 3.3524, decode.d0.loss_mask: 0.8177, decode.d0.loss_dice: 1.4998, decode.d1.loss_cls: 1.0373, decode.d1.loss_mask: 0.8519, decode.d1.loss_dice: 1.3826, decode.d2.loss_cls: 0.9790, decode.d2.loss_mask: 0.8365, decode.d2.loss_dice: 1.3348, decode.d3.loss_cls: 0.9677, decode.d3.loss_mask: 0.8310, decode.d3.loss_dice: 1.3113, decode.d4.loss_cls: 0.9603, decode.d4.loss_mask: 0.8327, decode.d4.loss_dice: 1.3090, decode.d5.loss_cls: 0.9514, decode.d5.loss_mask: 0.8302, decode.d5.loss_dice: 1.3034, decode.d6.loss_cls: 0.9484, decode.d6.loss_mask: 0.8327, decode.d6.loss_dice: 1.2926, decode.d7.loss_cls: 0.9496, decode.d7.loss_mask: 0.8253, decode.d7.loss_dice: 1.3005, decode.d8.loss_cls: 0.9461, decode.d8.loss_mask: 0.8276, decode.d8.loss_dice: 1.3008, loss: 33.7061 2022-09-12 12:30:17,600 - mmseg - INFO - Iter [15850/80000] lr: 1.151e-06, eta: 1 day, 10:20:44, time: 1.830, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9346, decode.loss_mask: 0.8264, decode.loss_dice: 1.2705, decode.d0.loss_cls: 3.3616, decode.d0.loss_mask: 0.7997, decode.d0.loss_dice: 1.4796, decode.d1.loss_cls: 1.0381, decode.d1.loss_mask: 0.8440, decode.d1.loss_dice: 1.3417, decode.d2.loss_cls: 0.9733, decode.d2.loss_mask: 0.8251, decode.d2.loss_dice: 1.2909, decode.d3.loss_cls: 0.9532, decode.d3.loss_mask: 0.8214, decode.d3.loss_dice: 1.2847, decode.d4.loss_cls: 0.9509, decode.d4.loss_mask: 0.8158, decode.d4.loss_dice: 1.2799, decode.d5.loss_cls: 0.9438, decode.d5.loss_mask: 0.8118, decode.d5.loss_dice: 1.2718, decode.d6.loss_cls: 0.9428, decode.d6.loss_mask: 0.8158, decode.d6.loss_dice: 1.2630, decode.d7.loss_cls: 0.9431, decode.d7.loss_mask: 0.8165, decode.d7.loss_dice: 1.2621, decode.d8.loss_cls: 0.9383, decode.d8.loss_mask: 0.8193, decode.d8.loss_dice: 1.2632, loss: 33.1831 2022-09-12 12:31:50,915 - mmseg - INFO - Iter [15900/80000] lr: 1.150e-06, eta: 1 day, 10:18:55, time: 1.866, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9402, decode.loss_mask: 0.8206, decode.loss_dice: 1.2909, decode.d0.loss_cls: 3.3501, decode.d0.loss_mask: 0.8016, decode.d0.loss_dice: 1.5112, decode.d1.loss_cls: 1.0321, decode.d1.loss_mask: 0.8396, decode.d1.loss_dice: 1.3704, decode.d2.loss_cls: 0.9574, decode.d2.loss_mask: 0.8252, decode.d2.loss_dice: 1.3199, decode.d3.loss_cls: 0.9512, decode.d3.loss_mask: 0.8272, decode.d3.loss_dice: 1.3013, decode.d4.loss_cls: 0.9519, decode.d4.loss_mask: 0.8256, decode.d4.loss_dice: 1.3016, decode.d5.loss_cls: 0.9437, decode.d5.loss_mask: 0.8189, decode.d5.loss_dice: 1.2988, decode.d6.loss_cls: 0.9419, decode.d6.loss_mask: 0.8178, decode.d6.loss_dice: 1.2894, decode.d7.loss_cls: 0.9345, decode.d7.loss_mask: 0.8199, decode.d7.loss_dice: 1.2834, decode.d8.loss_cls: 0.9313, decode.d8.loss_mask: 0.8212, decode.d8.loss_dice: 1.2894, loss: 33.4082 2022-09-12 12:33:24,480 - mmseg - INFO - Iter [15950/80000] lr: 1.150e-06, eta: 1 day, 10:17:08, time: 1.871, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9388, decode.loss_mask: 0.8186, decode.loss_dice: 1.2883, decode.d0.loss_cls: 3.3523, decode.d0.loss_mask: 0.8101, decode.d0.loss_dice: 1.5068, decode.d1.loss_cls: 1.0209, decode.d1.loss_mask: 0.8453, decode.d1.loss_dice: 1.3626, decode.d2.loss_cls: 0.9701, decode.d2.loss_mask: 0.8287, decode.d2.loss_dice: 1.3088, decode.d3.loss_cls: 0.9501, decode.d3.loss_mask: 0.8269, decode.d3.loss_dice: 1.2962, decode.d4.loss_cls: 0.9531, decode.d4.loss_mask: 0.8213, decode.d4.loss_dice: 1.2905, decode.d5.loss_cls: 0.9445, decode.d5.loss_mask: 0.8205, decode.d5.loss_dice: 1.2962, decode.d6.loss_cls: 0.9394, decode.d6.loss_mask: 0.8194, decode.d6.loss_dice: 1.2811, decode.d7.loss_cls: 0.9393, decode.d7.loss_mask: 0.8196, decode.d7.loss_dice: 1.2884, decode.d8.loss_cls: 0.9311, decode.d8.loss_mask: 0.8163, decode.d8.loss_dice: 1.2896, loss: 33.3750 2022-09-12 12:34:58,306 - mmseg - INFO - Saving checkpoint at 16000 iterations 2022-09-12 12:35:30,632 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 12:35:30,636 - mmseg - INFO - Iter [16000/80000] lr: 1.149e-06, eta: 1 day, 10:17:30, time: 2.521, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9590, decode.loss_mask: 0.8121, decode.loss_dice: 1.3023, decode.d0.loss_cls: 3.4042, decode.d0.loss_mask: 0.7992, decode.d0.loss_dice: 1.5208, decode.d1.loss_cls: 1.0555, decode.d1.loss_mask: 0.8352, decode.d1.loss_dice: 1.3762, decode.d2.loss_cls: 0.9825, decode.d2.loss_mask: 0.8251, decode.d2.loss_dice: 1.3338, decode.d3.loss_cls: 0.9777, decode.d3.loss_mask: 0.8181, decode.d3.loss_dice: 1.3120, decode.d4.loss_cls: 0.9762, decode.d4.loss_mask: 0.8157, decode.d4.loss_dice: 1.3072, decode.d5.loss_cls: 0.9654, decode.d5.loss_mask: 0.8133, decode.d5.loss_dice: 1.2915, decode.d6.loss_cls: 0.9596, decode.d6.loss_mask: 0.8136, decode.d6.loss_dice: 1.3009, decode.d7.loss_cls: 0.9584, decode.d7.loss_mask: 0.8128, decode.d7.loss_dice: 1.2989, decode.d8.loss_cls: 0.9608, decode.d8.loss_mask: 0.8095, decode.d8.loss_dice: 1.2940, loss: 33.6914 2022-09-12 12:40:27,611 - mmseg - INFO - per class results: 2022-09-12 12:40:27,626 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 87.47 | 94.21 | | bicycle | 72.94 | 84.19 | | car | 64.34 | 82.74 | | motorcycle | 85.26 | 90.52 | | airplane | 85.57 | 93.45 | | bus | 84.19 | 88.76 | | train | 86.4 | 94.29 | | truck | 66.04 | 80.79 | | boat | 68.14 | 81.91 | | traffic light | 72.52 | 87.8 | | fire hydrant | 90.47 | 95.76 | | stop sign | 92.23 | 97.9 | | parking meter | 76.27 | 87.12 | | bench | 55.19 | 75.4 | | bird | 84.89 | 91.55 | | cat | 81.52 | 87.64 | | dog | 79.93 | 87.6 | | horse | 85.43 | 95.63 | | sheep | 88.42 | 95.79 | | cow | 88.23 | 91.9 | | elephant | 92.86 | 96.9 | | bear | 92.93 | 96.3 | | zebra | 90.47 | 93.43 | | giraffe | 88.04 | 94.29 | | backpack | 40.28 | 76.82 | | umbrella | 85.77 | 92.33 | | handbag | 37.21 | 63.52 | | tie | 15.87 | 23.71 | | suitcase | 83.01 | 93.17 | | frisbee | 81.02 | 93.23 | | skis | 58.5 | 76.36 | | snowboard | 72.87 | 81.94 | | sports ball | 54.11 | 76.03 | | kite | 73.57 | 87.19 | | baseball bat | 48.77 | 84.65 | | baseball glove | 69.19 | 88.33 | | skateboard | 85.1 | 91.87 | | surfboard | 85.79 | 92.81 | | tennis racket | 86.89 | 92.88 | | bottle | 50.39 | 67.06 | | wine glass | 59.65 | 88.21 | | cup | 56.98 | 80.27 | | fork | 49.46 | 63.96 | | knife | 43.37 | 74.05 | | spoon | 41.83 | 61.88 | | bowl | 48.51 | 69.16 | | banana | 70.07 | 90.44 | | apple | 55.21 | 74.84 | | sandwich | 44.45 | 54.5 | | orange | 75.61 | 83.99 | | broccoli | 61.29 | 76.77 | | carrot | 57.69 | 69.12 | | hot dog | 54.13 | 65.48 | | pizza | 68.3 | 84.9 | | donut | 76.05 | 87.77 | | cake | 67.85 | 78.93 | | chair | 54.86 | 73.54 | | couch | 57.6 | 85.36 | | potted plant | 34.19 | 54.61 | | bed | 65.01 | 86.67 | | dining table | 44.68 | 77.34 | | toilet | 85.17 | 94.74 | | tv | 78.37 | 86.73 | | laptop | 78.26 | 93.64 | | mouse | 80.73 | 90.34 | | remote | 56.82 | 73.78 | | keyboard | 65.01 | 75.35 | | cell phone | 73.1 | 86.53 | | microwave | 71.96 | 82.47 | | oven | 60.2 | 85.77 | | toaster | 0.0 | 0.0 | | sink | 63.44 | 84.87 | | refrigerator | 80.58 | 92.87 | | book | 54.97 | 66.89 | | clock | 75.54 | 83.23 | | vase | 63.34 | 88.26 | | scissors | 79.19 | 90.95 | | teddy bear | 82.95 | 95.72 | | hair drier | 0.0 | 0.0 | | toothbrush | 32.04 | 87.79 | | banner | 33.02 | 59.42 | | blanket | 1.93 | 2.13 | | branch | 26.09 | 36.74 | | bridge | 36.13 | 51.9 | | building-other | 54.36 | 70.74 | | bush | 29.29 | 34.81 | | cabinet | 58.18 | 77.64 | | cage | 25.99 | 46.33 | | cardboard | 54.79 | 71.27 | | carpet | 54.19 | 73.48 | | ceiling-other | 65.14 | 84.12 | | ceiling-tile | 0.0 | 0.0 | | cloth | 0.0 | 0.0 | | clothes | 21.9 | 32.44 | | clouds | 40.32 | 48.78 | | counter | 31.82 | 52.79 | | cupboard | 0.0 | 0.0 | | curtain | 70.29 | 82.09 | | desk-stuff | 39.8 | 49.02 | | dirt | 42.34 | 66.43 | | door-stuff | 44.39 | 71.87 | | fence | 30.46 | 52.41 | | floor-marble | 0.0 | 0.0 | | floor-other | 21.63 | 26.85 | | floor-stone | 2.99 | 3.42 | | floor-tile | 60.71 | 77.43 | | floor-wood | 68.26 | 83.38 | | flower | 45.73 | 58.88 | | fog | 2.81 | 2.84 | | food-other | 28.46 | 35.1 | | fruit | 41.09 | 56.98 | | furniture-other | 19.92 | 28.65 | | grass | 70.16 | 84.3 | | gravel | 33.3 | 47.06 | | ground-other | 3.2 | 4.3 | | hill | 17.17 | 22.63 | | house | 20.99 | 23.46 | | leaves | 22.24 | 27.14 | | light | 40.59 | 51.91 | | mat | 0.0 | 0.0 | | metal | 36.42 | 50.52 | | mirror-stuff | 55.21 | 77.97 | | moss | 0.0 | 0.0 | | mountain | 54.47 | 71.67 | | mud | 0.0 | 0.0 | | napkin | 1.19 | 1.19 | | net | 47.09 | 63.37 | | paper | 36.35 | 52.13 | | pavement | 54.02 | 70.13 | | pillow | 9.12 | 10.49 | | plant-other | 22.91 | 52.94 | | plastic | 20.46 | 24.16 | | platform | 28.8 | 41.34 | | playingfield | 67.03 | 86.2 | | railing | 5.68 | 6.19 | | railroad | 62.4 | 83.12 | | river | 16.01 | 17.13 | | road | 68.21 | 83.26 | | rock | 44.74 | 69.48 | | roof | 20.61 | 24.88 | | rug | 33.93 | 59.3 | | salad | 0.0 | 0.0 | | sand | 63.35 | 67.58 | | sea | 85.55 | 92.43 | | shelf | 39.1 | 56.79 | | sky-other | 70.3 | 90.03 | | skyscraper | 43.63 | 63.03 | | snow | 91.67 | 95.91 | | solid-other | 0.0 | 0.0 | | stairs | 28.58 | 50.03 | | stone | 5.98 | 7.65 | | straw | 26.2 | 32.94 | | structural-other | 0.03 | 0.03 | | table | 18.85 | 23.56 | | tent | 6.93 | 7.68 | | textile-other | 13.02 | 18.62 | | towel | 38.54 | 46.69 | | tree | 74.85 | 86.17 | | vegetable | 37.52 | 50.56 | | wall-brick | 48.89 | 66.08 | | wall-concrete | 62.96 | 81.54 | | wall-other | 22.87 | 37.46 | | wall-panel | 1.35 | 1.36 | | wall-stone | 29.12 | 37.29 | | wall-tile | 68.91 | 88.54 | | wall-wood | 39.36 | 57.55 | | water-other | 33.11 | 75.23 | | waterdrops | 0.0 | 0.0 | | window-blind | 54.17 | 66.1 | | window-other | 49.19 | 77.97 | | wood | 27.45 | 46.78 | +------------------+-------+-------+ 2022-09-12 12:40:27,627 - mmseg - INFO - Summary: 2022-09-12 12:40:27,627 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 72.58 | 49.02 | 61.75 | +-------+-------+-------+ 2022-09-12 12:40:28,098 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/segmentation/work_dirs/mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss/best_mIoU_iter_8000.pth was removed 2022-09-12 12:40:56,280 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. 2022-09-12 12:40:56,333 - mmseg - INFO - Best mIoU is 0.4902 at 16000 iter. 2022-09-12 12:40:56,369 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 12:40:56,370 - mmseg - INFO - Iter(val) [313] aAcc: 0.7258, mIoU: 0.4902, mAcc: 0.6175, IoU.person: 0.8747, IoU.bicycle: 0.7294, IoU.car: 0.6434, IoU.motorcycle: 0.8526, IoU.airplane: 0.8557, IoU.bus: 0.8419, IoU.train: 0.8640, IoU.truck: 0.6604, IoU.boat: 0.6814, IoU.traffic light: 0.7252, IoU.fire hydrant: 0.9047, IoU.stop sign: 0.9223, IoU.parking meter: 0.7627, IoU.bench: 0.5519, IoU.bird: 0.8489, IoU.cat: 0.8152, IoU.dog: 0.7993, IoU.horse: 0.8543, IoU.sheep: 0.8842, IoU.cow: 0.8823, IoU.elephant: 0.9286, IoU.bear: 0.9293, IoU.zebra: 0.9047, IoU.giraffe: 0.8804, IoU.backpack: 0.4028, IoU.umbrella: 0.8577, IoU.handbag: 0.3721, IoU.tie: 0.1587, IoU.suitcase: 0.8301, IoU.frisbee: 0.8102, IoU.skis: 0.5850, IoU.snowboard: 0.7287, IoU.sports ball: 0.5411, IoU.kite: 0.7357, IoU.baseball bat: 0.4877, IoU.baseball glove: 0.6919, IoU.skateboard: 0.8510, IoU.surfboard: 0.8579, IoU.tennis racket: 0.8689, IoU.bottle: 0.5039, IoU.wine glass: 0.5965, IoU.cup: 0.5698, IoU.fork: 0.4946, IoU.knife: 0.4337, IoU.spoon: 0.4183, IoU.bowl: 0.4851, IoU.banana: 0.7007, IoU.apple: 0.5521, IoU.sandwich: 0.4445, IoU.orange: 0.7561, IoU.broccoli: 0.6129, IoU.carrot: 0.5769, IoU.hot dog: 0.5413, IoU.pizza: 0.6830, IoU.donut: 0.7605, IoU.cake: 0.6785, IoU.chair: 0.5486, IoU.couch: 0.5760, IoU.potted plant: 0.3419, IoU.bed: 0.6501, IoU.dining table: 0.4468, IoU.toilet: 0.8517, IoU.tv: 0.7837, IoU.laptop: 0.7826, IoU.mouse: 0.8073, IoU.remote: 0.5682, IoU.keyboard: 0.6501, IoU.cell phone: 0.7310, IoU.microwave: 0.7196, IoU.oven: 0.6020, IoU.toaster: 0.0000, IoU.sink: 0.6344, IoU.refrigerator: 0.8058, IoU.book: 0.5497, IoU.clock: 0.7554, IoU.vase: 0.6334, IoU.scissors: 0.7919, IoU.teddy bear: 0.8295, IoU.hair drier: 0.0000, IoU.toothbrush: 0.3204, IoU.banner: 0.3302, IoU.blanket: 0.0193, IoU.branch: 0.2609, IoU.bridge: 0.3613, IoU.building-other: 0.5436, IoU.bush: 0.2929, IoU.cabinet: 0.5818, IoU.cage: 0.2599, IoU.cardboard: 0.5479, IoU.carpet: 0.5419, IoU.ceiling-other: 0.6514, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0000, IoU.clothes: 0.2190, IoU.clouds: 0.4032, IoU.counter: 0.3182, IoU.cupboard: 0.0000, IoU.curtain: 0.7029, IoU.desk-stuff: 0.3980, IoU.dirt: 0.4234, IoU.door-stuff: 0.4439, IoU.fence: 0.3046, IoU.floor-marble: 0.0000, IoU.floor-other: 0.2163, IoU.floor-stone: 0.0299, IoU.floor-tile: 0.6071, IoU.floor-wood: 0.6826, IoU.flower: 0.4573, IoU.fog: 0.0281, IoU.food-other: 0.2846, IoU.fruit: 0.4109, IoU.furniture-other: 0.1992, IoU.grass: 0.7016, IoU.gravel: 0.3330, IoU.ground-other: 0.0320, IoU.hill: 0.1717, IoU.house: 0.2099, IoU.leaves: 0.2224, IoU.light: 0.4059, IoU.mat: 0.0000, IoU.metal: 0.3642, IoU.mirror-stuff: 0.5521, IoU.moss: 0.0000, IoU.mountain: 0.5447, IoU.mud: 0.0000, IoU.napkin: 0.0119, IoU.net: 0.4709, IoU.paper: 0.3635, IoU.pavement: 0.5402, IoU.pillow: 0.0912, IoU.plant-other: 0.2291, IoU.plastic: 0.2046, IoU.platform: 0.2880, IoU.playingfield: 0.6703, IoU.railing: 0.0568, IoU.railroad: 0.6240, IoU.river: 0.1601, IoU.road: 0.6821, IoU.rock: 0.4474, IoU.roof: 0.2061, IoU.rug: 0.3393, IoU.salad: 0.0000, IoU.sand: 0.6335, IoU.sea: 0.8555, IoU.shelf: 0.3910, IoU.sky-other: 0.7030, IoU.skyscraper: 0.4363, IoU.snow: 0.9167, IoU.solid-other: 0.0000, IoU.stairs: 0.2858, IoU.stone: 0.0598, IoU.straw: 0.2620, IoU.structural-other: 0.0003, IoU.table: 0.1885, IoU.tent: 0.0693, IoU.textile-other: 0.1302, IoU.towel: 0.3854, IoU.tree: 0.7485, IoU.vegetable: 0.3752, IoU.wall-brick: 0.4889, IoU.wall-concrete: 0.6296, IoU.wall-other: 0.2287, IoU.wall-panel: 0.0135, IoU.wall-stone: 0.2912, IoU.wall-tile: 0.6891, IoU.wall-wood: 0.3936, IoU.water-other: 0.3311, IoU.waterdrops: 0.0000, IoU.window-blind: 0.5417, IoU.window-other: 0.4919, IoU.wood: 0.2745, Acc.person: 0.9421, Acc.bicycle: 0.8419, Acc.car: 0.8274, Acc.motorcycle: 0.9052, Acc.airplane: 0.9345, Acc.bus: 0.8876, Acc.train: 0.9429, Acc.truck: 0.8079, Acc.boat: 0.8191, Acc.traffic light: 0.8780, Acc.fire hydrant: 0.9576, Acc.stop sign: 0.9790, Acc.parking meter: 0.8712, Acc.bench: 0.7540, Acc.bird: 0.9155, Acc.cat: 0.8764, Acc.dog: 0.8760, Acc.horse: 0.9563, Acc.sheep: 0.9579, Acc.cow: 0.9190, Acc.elephant: 0.9690, Acc.bear: 0.9630, Acc.zebra: 0.9343, Acc.giraffe: 0.9429, Acc.backpack: 0.7682, Acc.umbrella: 0.9233, Acc.handbag: 0.6352, Acc.tie: 0.2371, Acc.suitcase: 0.9317, Acc.frisbee: 0.9323, Acc.skis: 0.7636, Acc.snowboard: 0.8194, Acc.sports ball: 0.7603, Acc.kite: 0.8719, Acc.baseball bat: 0.8465, Acc.baseball glove: 0.8833, Acc.skateboard: 0.9187, Acc.surfboard: 0.9281, Acc.tennis racket: 0.9288, Acc.bottle: 0.6706, Acc.wine glass: 0.8821, Acc.cup: 0.8027, Acc.fork: 0.6396, Acc.knife: 0.7405, Acc.spoon: 0.6188, Acc.bowl: 0.6916, Acc.banana: 0.9044, Acc.apple: 0.7484, Acc.sandwich: 0.5450, Acc.orange: 0.8399, Acc.broccoli: 0.7677, Acc.carrot: 0.6912, Acc.hot dog: 0.6548, Acc.pizza: 0.8490, Acc.donut: 0.8777, Acc.cake: 0.7893, Acc.chair: 0.7354, Acc.couch: 0.8536, Acc.potted plant: 0.5461, Acc.bed: 0.8667, Acc.dining table: 0.7734, Acc.toilet: 0.9474, Acc.tv: 0.8673, Acc.laptop: 0.9364, Acc.mouse: 0.9034, Acc.remote: 0.7378, Acc.keyboard: 0.7535, Acc.cell phone: 0.8653, Acc.microwave: 0.8247, Acc.oven: 0.8577, Acc.toaster: 0.0000, Acc.sink: 0.8487, Acc.refrigerator: 0.9287, Acc.book: 0.6689, Acc.clock: 0.8323, Acc.vase: 0.8826, Acc.scissors: 0.9095, Acc.teddy bear: 0.9572, Acc.hair drier: 0.0000, Acc.toothbrush: 0.8779, Acc.banner: 0.5942, Acc.blanket: 0.0213, Acc.branch: 0.3674, Acc.bridge: 0.5190, Acc.building-other: 0.7074, Acc.bush: 0.3481, Acc.cabinet: 0.7764, Acc.cage: 0.4633, Acc.cardboard: 0.7127, Acc.carpet: 0.7348, Acc.ceiling-other: 0.8412, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0000, Acc.clothes: 0.3244, Acc.clouds: 0.4878, Acc.counter: 0.5279, Acc.cupboard: 0.0000, Acc.curtain: 0.8209, Acc.desk-stuff: 0.4902, Acc.dirt: 0.6643, Acc.door-stuff: 0.7187, Acc.fence: 0.5241, Acc.floor-marble: 0.0000, Acc.floor-other: 0.2685, Acc.floor-stone: 0.0342, Acc.floor-tile: 0.7743, Acc.floor-wood: 0.8338, Acc.flower: 0.5888, Acc.fog: 0.0284, Acc.food-other: 0.3510, Acc.fruit: 0.5698, Acc.furniture-other: 0.2865, Acc.grass: 0.8430, Acc.gravel: 0.4706, Acc.ground-other: 0.0430, Acc.hill: 0.2263, Acc.house: 0.2346, Acc.leaves: 0.2714, Acc.light: 0.5191, Acc.mat: 0.0000, Acc.metal: 0.5052, Acc.mirror-stuff: 0.7797, Acc.moss: 0.0000, Acc.mountain: 0.7167, Acc.mud: 0.0000, Acc.napkin: 0.0119, Acc.net: 0.6337, Acc.paper: 0.5213, Acc.pavement: 0.7013, Acc.pillow: 0.1049, Acc.plant-other: 0.5294, Acc.plastic: 0.2416, Acc.platform: 0.4134, Acc.playingfield: 0.8620, Acc.railing: 0.0619, Acc.railroad: 0.8312, Acc.river: 0.1713, Acc.road: 0.8326, Acc.rock: 0.6948, Acc.roof: 0.2488, Acc.rug: 0.5930, Acc.salad: 0.0000, Acc.sand: 0.6758, Acc.sea: 0.9243, Acc.shelf: 0.5679, Acc.sky-other: 0.9003, Acc.skyscraper: 0.6303, Acc.snow: 0.9591, Acc.solid-other: 0.0000, Acc.stairs: 0.5003, Acc.stone: 0.0765, Acc.straw: 0.3294, Acc.structural-other: 0.0003, Acc.table: 0.2356, Acc.tent: 0.0768, Acc.textile-other: 0.1862, Acc.towel: 0.4669, Acc.tree: 0.8617, Acc.vegetable: 0.5056, Acc.wall-brick: 0.6608, Acc.wall-concrete: 0.8154, Acc.wall-other: 0.3746, Acc.wall-panel: 0.0136, Acc.wall-stone: 0.3729, Acc.wall-tile: 0.8854, Acc.wall-wood: 0.5755, Acc.water-other: 0.7523, Acc.waterdrops: 0.0000, Acc.window-blind: 0.6610, Acc.window-other: 0.7797, Acc.wood: 0.4678 2022-09-12 12:42:30,567 - mmseg - INFO - Iter [16050/80000] lr: 1.148e-06, eta: 1 day, 10:37:23, time: 8.401, data_time: 6.532, memory: 42763, decode.loss_cls: 0.9409, decode.loss_mask: 0.8159, decode.loss_dice: 1.3000, decode.d0.loss_cls: 3.3826, decode.d0.loss_mask: 0.7897, decode.d0.loss_dice: 1.5119, decode.d1.loss_cls: 1.0296, decode.d1.loss_mask: 0.8345, decode.d1.loss_dice: 1.3689, decode.d2.loss_cls: 0.9719, decode.d2.loss_mask: 0.8103, decode.d2.loss_dice: 1.3149, decode.d3.loss_cls: 0.9625, decode.d3.loss_mask: 0.8081, decode.d3.loss_dice: 1.2979, decode.d4.loss_cls: 0.9564, decode.d4.loss_mask: 0.8079, decode.d4.loss_dice: 1.2988, decode.d5.loss_cls: 0.9436, decode.d5.loss_mask: 0.8173, decode.d5.loss_dice: 1.2905, decode.d6.loss_cls: 0.9406, decode.d6.loss_mask: 0.8106, decode.d6.loss_dice: 1.2900, decode.d7.loss_cls: 0.9312, decode.d7.loss_mask: 0.8125, decode.d7.loss_dice: 1.2885, decode.d8.loss_cls: 0.9363, decode.d8.loss_mask: 0.8144, decode.d8.loss_dice: 1.2908, loss: 33.3689 2022-09-12 12:44:03,578 - mmseg - INFO - Iter [16100/80000] lr: 1.147e-06, eta: 1 day, 10:35:28, time: 1.860, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9134, decode.loss_mask: 0.8205, decode.loss_dice: 1.2887, decode.d0.loss_cls: 3.3068, decode.d0.loss_mask: 0.8094, decode.d0.loss_dice: 1.5055, decode.d1.loss_cls: 0.9929, decode.d1.loss_mask: 0.8454, decode.d1.loss_dice: 1.3678, decode.d2.loss_cls: 0.9385, decode.d2.loss_mask: 0.8350, decode.d2.loss_dice: 1.3224, decode.d3.loss_cls: 0.9277, decode.d3.loss_mask: 0.8275, decode.d3.loss_dice: 1.3066, decode.d4.loss_cls: 0.9280, decode.d4.loss_mask: 0.8165, decode.d4.loss_dice: 1.3005, decode.d5.loss_cls: 0.9171, decode.d5.loss_mask: 0.8145, decode.d5.loss_dice: 1.2986, decode.d6.loss_cls: 0.9201, decode.d6.loss_mask: 0.8151, decode.d6.loss_dice: 1.2893, decode.d7.loss_cls: 0.9153, decode.d7.loss_mask: 0.8137, decode.d7.loss_dice: 1.2896, decode.d8.loss_cls: 0.9160, decode.d8.loss_mask: 0.8149, decode.d8.loss_dice: 1.2963, loss: 33.1534 2022-09-12 12:45:37,811 - mmseg - INFO - Iter [16150/80000] lr: 1.146e-06, eta: 1 day, 10:33:38, time: 1.885, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9359, decode.loss_mask: 0.8350, decode.loss_dice: 1.3160, decode.d0.loss_cls: 3.3119, decode.d0.loss_mask: 0.8213, decode.d0.loss_dice: 1.5330, decode.d1.loss_cls: 1.0267, decode.d1.loss_mask: 0.8543, decode.d1.loss_dice: 1.3973, decode.d2.loss_cls: 0.9688, decode.d2.loss_mask: 0.8383, decode.d2.loss_dice: 1.3615, decode.d3.loss_cls: 0.9589, decode.d3.loss_mask: 0.8313, decode.d3.loss_dice: 1.3270, decode.d4.loss_cls: 0.9439, decode.d4.loss_mask: 0.8347, decode.d4.loss_dice: 1.3166, decode.d5.loss_cls: 0.9430, decode.d5.loss_mask: 0.8300, decode.d5.loss_dice: 1.3140, decode.d6.loss_cls: 0.9373, decode.d6.loss_mask: 0.8298, decode.d6.loss_dice: 1.3031, decode.d7.loss_cls: 0.9364, decode.d7.loss_mask: 0.8324, decode.d7.loss_dice: 1.3050, decode.d8.loss_cls: 0.9271, decode.d8.loss_mask: 0.8312, decode.d8.loss_dice: 1.3071, loss: 33.7087 2022-09-12 12:47:13,079 - mmseg - INFO - Iter [16200/80000] lr: 1.145e-06, eta: 1 day, 10:31:52, time: 1.905, data_time: 0.018, memory: 42763, decode.loss_cls: 0.9283, decode.loss_mask: 0.8314, decode.loss_dice: 1.3039, decode.d0.loss_cls: 3.2863, decode.d0.loss_mask: 0.8185, decode.d0.loss_dice: 1.5174, decode.d1.loss_cls: 1.0088, decode.d1.loss_mask: 0.8552, decode.d1.loss_dice: 1.3879, decode.d2.loss_cls: 0.9565, decode.d2.loss_mask: 0.8433, decode.d2.loss_dice: 1.3312, decode.d3.loss_cls: 0.9367, decode.d3.loss_mask: 0.8375, decode.d3.loss_dice: 1.3143, decode.d4.loss_cls: 0.9367, decode.d4.loss_mask: 0.8330, decode.d4.loss_dice: 1.3156, decode.d5.loss_cls: 0.9234, decode.d5.loss_mask: 0.8363, decode.d5.loss_dice: 1.3113, decode.d6.loss_cls: 0.9237, decode.d6.loss_mask: 0.8338, decode.d6.loss_dice: 1.3009, decode.d7.loss_cls: 0.9264, decode.d7.loss_mask: 0.8338, decode.d7.loss_dice: 1.3038, decode.d8.loss_cls: 0.9284, decode.d8.loss_mask: 0.8265, decode.d8.loss_dice: 1.2960, loss: 33.4870 2022-09-12 12:48:45,702 - mmseg - INFO - Iter [16250/80000] lr: 1.144e-06, eta: 1 day, 10:29:55, time: 1.852, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9302, decode.loss_mask: 0.7989, decode.loss_dice: 1.2586, decode.d0.loss_cls: 3.2400, decode.d0.loss_mask: 0.7934, decode.d0.loss_dice: 1.4841, decode.d1.loss_cls: 1.0151, decode.d1.loss_mask: 0.8211, decode.d1.loss_dice: 1.3565, decode.d2.loss_cls: 0.9505, decode.d2.loss_mask: 0.8115, decode.d2.loss_dice: 1.2932, decode.d3.loss_cls: 0.9370, decode.d3.loss_mask: 0.8043, decode.d3.loss_dice: 1.2765, decode.d4.loss_cls: 0.9290, decode.d4.loss_mask: 0.8018, decode.d4.loss_dice: 1.2729, decode.d5.loss_cls: 0.9287, decode.d5.loss_mask: 0.7961, decode.d5.loss_dice: 1.2617, decode.d6.loss_cls: 0.9164, decode.d6.loss_mask: 0.7996, decode.d6.loss_dice: 1.2646, decode.d7.loss_cls: 0.9153, decode.d7.loss_mask: 0.8054, decode.d7.loss_dice: 1.2615, decode.d8.loss_cls: 0.9125, decode.d8.loss_mask: 0.8014, decode.d8.loss_dice: 1.2675, loss: 32.7054 2022-09-12 12:50:19,108 - mmseg - INFO - Iter [16300/80000] lr: 1.143e-06, eta: 1 day, 10:28:02, time: 1.868, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9482, decode.loss_mask: 0.8183, decode.loss_dice: 1.3146, decode.d0.loss_cls: 3.3066, decode.d0.loss_mask: 0.8154, decode.d0.loss_dice: 1.5259, decode.d1.loss_cls: 1.0312, decode.d1.loss_mask: 0.8421, decode.d1.loss_dice: 1.3922, decode.d2.loss_cls: 0.9733, decode.d2.loss_mask: 0.8302, decode.d2.loss_dice: 1.3477, decode.d3.loss_cls: 0.9621, decode.d3.loss_mask: 0.8274, decode.d3.loss_dice: 1.3353, decode.d4.loss_cls: 0.9605, decode.d4.loss_mask: 0.8255, decode.d4.loss_dice: 1.3255, decode.d5.loss_cls: 0.9554, decode.d5.loss_mask: 0.8201, decode.d5.loss_dice: 1.3220, decode.d6.loss_cls: 0.9476, decode.d6.loss_mask: 0.8244, decode.d6.loss_dice: 1.3158, decode.d7.loss_cls: 0.9444, decode.d7.loss_mask: 0.8254, decode.d7.loss_dice: 1.3215, decode.d8.loss_cls: 0.9441, decode.d8.loss_mask: 0.8239, decode.d8.loss_dice: 1.3148, loss: 33.7413 2022-09-12 12:51:52,852 - mmseg - INFO - Iter [16350/80000] lr: 1.142e-06, eta: 1 day, 10:26:11, time: 1.875, data_time: 0.017, memory: 42763, decode.loss_cls: 0.9461, decode.loss_mask: 0.8393, decode.loss_dice: 1.2799, decode.d0.loss_cls: 3.2638, decode.d0.loss_mask: 0.8257, decode.d0.loss_dice: 1.4991, decode.d1.loss_cls: 1.0172, decode.d1.loss_mask: 0.8713, decode.d1.loss_dice: 1.3681, decode.d2.loss_cls: 0.9627, decode.d2.loss_mask: 0.8599, decode.d2.loss_dice: 1.3199, decode.d3.loss_cls: 0.9528, decode.d3.loss_mask: 0.8535, decode.d3.loss_dice: 1.2960, decode.d4.loss_cls: 0.9477, decode.d4.loss_mask: 0.8515, decode.d4.loss_dice: 1.2909, decode.d5.loss_cls: 0.9420, decode.d5.loss_mask: 0.8473, decode.d5.loss_dice: 1.2832, decode.d6.loss_cls: 0.9455, decode.d6.loss_mask: 0.8384, decode.d6.loss_dice: 1.2809, decode.d7.loss_cls: 0.9423, decode.d7.loss_mask: 0.8410, decode.d7.loss_dice: 1.2826, decode.d8.loss_cls: 0.9437, decode.d8.loss_mask: 0.8386, decode.d8.loss_dice: 1.2752, loss: 33.5059 2022-09-12 12:53:27,276 - mmseg - INFO - Iter [16400/80000] lr: 1.141e-06, eta: 1 day, 10:24:22, time: 1.888, data_time: 0.018, memory: 42763, decode.loss_cls: 0.9301, decode.loss_mask: 0.8175, decode.loss_dice: 1.2839, decode.d0.loss_cls: 3.2753, decode.d0.loss_mask: 0.7970, decode.d0.loss_dice: 1.4912, decode.d1.loss_cls: 0.9945, decode.d1.loss_mask: 0.8500, decode.d1.loss_dice: 1.3728, decode.d2.loss_cls: 0.9393, decode.d2.loss_mask: 0.8301, decode.d2.loss_dice: 1.3302, decode.d3.loss_cls: 0.9323, decode.d3.loss_mask: 0.8194, decode.d3.loss_dice: 1.3018, decode.d4.loss_cls: 0.9317, decode.d4.loss_mask: 0.8208, decode.d4.loss_dice: 1.2931, decode.d5.loss_cls: 0.9293, decode.d5.loss_mask: 0.8167, decode.d5.loss_dice: 1.2922, decode.d6.loss_cls: 0.9242, decode.d6.loss_mask: 0.8168, decode.d6.loss_dice: 1.2923, decode.d7.loss_cls: 0.9312, decode.d7.loss_mask: 0.8156, decode.d7.loss_dice: 1.2799, decode.d8.loss_cls: 0.9218, decode.d8.loss_mask: 0.8152, decode.d8.loss_dice: 1.2847, loss: 33.1309 2022-09-12 12:55:01,526 - mmseg - INFO - Iter [16450/80000] lr: 1.141e-06, eta: 1 day, 10:22:32, time: 1.885, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9289, decode.loss_mask: 0.8196, decode.loss_dice: 1.2752, decode.d0.loss_cls: 3.2516, decode.d0.loss_mask: 0.8101, decode.d0.loss_dice: 1.5033, decode.d1.loss_cls: 1.0285, decode.d1.loss_mask: 0.8451, decode.d1.loss_dice: 1.3664, decode.d2.loss_cls: 0.9600, decode.d2.loss_mask: 0.8272, decode.d2.loss_dice: 1.3058, decode.d3.loss_cls: 0.9394, decode.d3.loss_mask: 0.8261, decode.d3.loss_dice: 1.2893, decode.d4.loss_cls: 0.9366, decode.d4.loss_mask: 0.8190, decode.d4.loss_dice: 1.2917, decode.d5.loss_cls: 0.9208, decode.d5.loss_mask: 0.8163, decode.d5.loss_dice: 1.2816, decode.d6.loss_cls: 0.9260, decode.d6.loss_mask: 0.8173, decode.d6.loss_dice: 1.2755, decode.d7.loss_cls: 0.9217, decode.d7.loss_mask: 0.8168, decode.d7.loss_dice: 1.2766, decode.d8.loss_cls: 0.9254, decode.d8.loss_mask: 0.8108, decode.d8.loss_dice: 1.2812, loss: 33.0940 2022-09-12 12:56:35,744 - mmseg - INFO - Iter [16500/80000] lr: 1.140e-06, eta: 1 day, 10:20:43, time: 1.884, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9331, decode.loss_mask: 0.8333, decode.loss_dice: 1.3187, decode.d0.loss_cls: 3.2545, decode.d0.loss_mask: 0.8151, decode.d0.loss_dice: 1.5326, decode.d1.loss_cls: 1.0265, decode.d1.loss_mask: 0.8422, decode.d1.loss_dice: 1.3920, decode.d2.loss_cls: 0.9594, decode.d2.loss_mask: 0.8293, decode.d2.loss_dice: 1.3427, decode.d3.loss_cls: 0.9447, decode.d3.loss_mask: 0.8257, decode.d3.loss_dice: 1.3352, decode.d4.loss_cls: 0.9422, decode.d4.loss_mask: 0.8262, decode.d4.loss_dice: 1.3329, decode.d5.loss_cls: 0.9341, decode.d5.loss_mask: 0.8228, decode.d5.loss_dice: 1.3171, decode.d6.loss_cls: 0.9365, decode.d6.loss_mask: 0.8196, decode.d6.loss_dice: 1.3176, decode.d7.loss_cls: 0.9348, decode.d7.loss_mask: 0.8234, decode.d7.loss_dice: 1.3187, decode.d8.loss_cls: 0.9379, decode.d8.loss_mask: 0.8249, decode.d8.loss_dice: 1.3189, loss: 33.5926 2022-09-12 12:58:09,080 - mmseg - INFO - Iter [16550/80000] lr: 1.139e-06, eta: 1 day, 10:18:50, time: 1.868, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8919, decode.loss_mask: 0.8428, decode.loss_dice: 1.2985, decode.d0.loss_cls: 3.2135, decode.d0.loss_mask: 0.8166, decode.d0.loss_dice: 1.4988, decode.d1.loss_cls: 0.9786, decode.d1.loss_mask: 0.8644, decode.d1.loss_dice: 1.3657, decode.d2.loss_cls: 0.9205, decode.d2.loss_mask: 0.8464, decode.d2.loss_dice: 1.3262, decode.d3.loss_cls: 0.9025, decode.d3.loss_mask: 0.8412, decode.d3.loss_dice: 1.3159, decode.d4.loss_cls: 0.9014, decode.d4.loss_mask: 0.8397, decode.d4.loss_dice: 1.3078, decode.d5.loss_cls: 0.9018, decode.d5.loss_mask: 0.8320, decode.d5.loss_dice: 1.3048, decode.d6.loss_cls: 0.8863, decode.d6.loss_mask: 0.8377, decode.d6.loss_dice: 1.3072, decode.d7.loss_cls: 0.8976, decode.d7.loss_mask: 0.8355, decode.d7.loss_dice: 1.3008, decode.d8.loss_cls: 0.8923, decode.d8.loss_mask: 0.8448, decode.d8.loss_dice: 1.3004, loss: 33.1134 2022-09-12 12:59:42,208 - mmseg - INFO - Iter [16600/80000] lr: 1.138e-06, eta: 1 day, 10:16:57, time: 1.863, data_time: 0.018, memory: 42763, decode.loss_cls: 0.8665, decode.loss_mask: 0.8057, decode.loss_dice: 1.2247, decode.d0.loss_cls: 3.1992, decode.d0.loss_mask: 0.7933, decode.d0.loss_dice: 1.4316, decode.d1.loss_cls: 0.9562, decode.d1.loss_mask: 0.8184, decode.d1.loss_dice: 1.3037, decode.d2.loss_cls: 0.9013, decode.d2.loss_mask: 0.8092, decode.d2.loss_dice: 1.2632, decode.d3.loss_cls: 0.8924, decode.d3.loss_mask: 0.8069, decode.d3.loss_dice: 1.2429, decode.d4.loss_cls: 0.8823, decode.d4.loss_mask: 0.8097, decode.d4.loss_dice: 1.2428, decode.d5.loss_cls: 0.8771, decode.d5.loss_mask: 0.8003, decode.d5.loss_dice: 1.2238, decode.d6.loss_cls: 0.8695, decode.d6.loss_mask: 0.8026, decode.d6.loss_dice: 1.2242, decode.d7.loss_cls: 0.8712, decode.d7.loss_mask: 0.8035, decode.d7.loss_dice: 1.2264, decode.d8.loss_cls: 0.8680, decode.d8.loss_mask: 0.8046, decode.d8.loss_dice: 1.2244, loss: 31.8458 2022-09-12 13:01:15,108 - mmseg - INFO - Iter [16650/80000] lr: 1.137e-06, eta: 1 day, 10:15:02, time: 1.858, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9458, decode.loss_mask: 0.8119, decode.loss_dice: 1.3088, decode.d0.loss_cls: 3.2472, decode.d0.loss_mask: 0.8002, decode.d0.loss_dice: 1.5176, decode.d1.loss_cls: 1.0322, decode.d1.loss_mask: 0.8343, decode.d1.loss_dice: 1.3835, decode.d2.loss_cls: 0.9769, decode.d2.loss_mask: 0.8192, decode.d2.loss_dice: 1.3287, decode.d3.loss_cls: 0.9616, decode.d3.loss_mask: 0.8140, decode.d3.loss_dice: 1.3184, decode.d4.loss_cls: 0.9609, decode.d4.loss_mask: 0.8151, decode.d4.loss_dice: 1.3230, decode.d5.loss_cls: 0.9511, decode.d5.loss_mask: 0.8165, decode.d5.loss_dice: 1.3013, decode.d6.loss_cls: 0.9385, decode.d6.loss_mask: 0.8196, decode.d6.loss_dice: 1.3057, decode.d7.loss_cls: 0.9531, decode.d7.loss_mask: 0.8110, decode.d7.loss_dice: 1.3005, decode.d8.loss_cls: 0.9408, decode.d8.loss_mask: 0.8123, decode.d8.loss_dice: 1.3029, loss: 33.4526 2022-09-12 13:02:49,506 - mmseg - INFO - Iter [16700/80000] lr: 1.136e-06, eta: 1 day, 10:13:14, time: 1.888, data_time: 0.018, memory: 42763, decode.loss_cls: 0.8767, decode.loss_mask: 0.8212, decode.loss_dice: 1.2996, decode.d0.loss_cls: 3.1785, decode.d0.loss_mask: 0.8089, decode.d0.loss_dice: 1.5059, decode.d1.loss_cls: 0.9612, decode.d1.loss_mask: 0.8389, decode.d1.loss_dice: 1.3804, decode.d2.loss_cls: 0.9018, decode.d2.loss_mask: 0.8250, decode.d2.loss_dice: 1.3256, decode.d3.loss_cls: 0.8867, decode.d3.loss_mask: 0.8198, decode.d3.loss_dice: 1.3079, decode.d4.loss_cls: 0.8951, decode.d4.loss_mask: 0.8165, decode.d4.loss_dice: 1.3066, decode.d5.loss_cls: 0.8942, decode.d5.loss_mask: 0.8151, decode.d5.loss_dice: 1.2957, decode.d6.loss_cls: 0.8774, decode.d6.loss_mask: 0.8145, decode.d6.loss_dice: 1.2903, decode.d7.loss_cls: 0.8729, decode.d7.loss_mask: 0.8186, decode.d7.loss_dice: 1.2993, decode.d8.loss_cls: 0.8669, decode.d8.loss_mask: 0.8169, decode.d8.loss_dice: 1.2929, loss: 32.7108 2022-09-12 13:04:22,930 - mmseg - INFO - Iter [16750/80000] lr: 1.135e-06, eta: 1 day, 10:11:22, time: 1.869, data_time: 0.014, memory: 42763, decode.loss_cls: 0.9141, decode.loss_mask: 0.8315, decode.loss_dice: 1.3032, decode.d0.loss_cls: 3.1914, decode.d0.loss_mask: 0.8083, decode.d0.loss_dice: 1.4931, decode.d1.loss_cls: 1.0027, decode.d1.loss_mask: 0.8485, decode.d1.loss_dice: 1.3690, decode.d2.loss_cls: 0.9385, decode.d2.loss_mask: 0.8347, decode.d2.loss_dice: 1.3297, decode.d3.loss_cls: 0.9224, decode.d3.loss_mask: 0.8319, decode.d3.loss_dice: 1.3186, decode.d4.loss_cls: 0.9249, decode.d4.loss_mask: 0.8282, decode.d4.loss_dice: 1.3057, decode.d5.loss_cls: 0.9176, decode.d5.loss_mask: 0.8271, decode.d5.loss_dice: 1.3030, decode.d6.loss_cls: 0.9123, decode.d6.loss_mask: 0.8274, decode.d6.loss_dice: 1.3035, decode.d7.loss_cls: 0.9125, decode.d7.loss_mask: 0.8275, decode.d7.loss_dice: 1.2951, decode.d8.loss_cls: 0.9135, decode.d8.loss_mask: 0.8288, decode.d8.loss_dice: 1.2962, loss: 33.1609 2022-09-12 13:05:56,004 - mmseg - INFO - Iter [16800/80000] lr: 1.134e-06, eta: 1 day, 10:09:29, time: 1.861, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9065, decode.loss_mask: 0.8269, decode.loss_dice: 1.2755, decode.d0.loss_cls: 3.2254, decode.d0.loss_mask: 0.8221, decode.d0.loss_dice: 1.4916, decode.d1.loss_cls: 0.9936, decode.d1.loss_mask: 0.8587, decode.d1.loss_dice: 1.3459, decode.d2.loss_cls: 0.9294, decode.d2.loss_mask: 0.8409, decode.d2.loss_dice: 1.3150, decode.d3.loss_cls: 0.9149, decode.d3.loss_mask: 0.8379, decode.d3.loss_dice: 1.2904, decode.d4.loss_cls: 0.9203, decode.d4.loss_mask: 0.8363, decode.d4.loss_dice: 1.2932, decode.d5.loss_cls: 0.9085, decode.d5.loss_mask: 0.8294, decode.d5.loss_dice: 1.2885, decode.d6.loss_cls: 0.9065, decode.d6.loss_mask: 0.8286, decode.d6.loss_dice: 1.2799, decode.d7.loss_cls: 0.9068, decode.d7.loss_mask: 0.8231, decode.d7.loss_dice: 1.2754, decode.d8.loss_cls: 0.9004, decode.d8.loss_mask: 0.8296, decode.d8.loss_dice: 1.2768, loss: 32.9780 2022-09-12 13:07:29,894 - mmseg - INFO - Iter [16850/80000] lr: 1.133e-06, eta: 1 day, 10:07:39, time: 1.878, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9151, decode.loss_mask: 0.7975, decode.loss_dice: 1.2634, decode.d0.loss_cls: 3.1627, decode.d0.loss_mask: 0.7905, decode.d0.loss_dice: 1.4690, decode.d1.loss_cls: 0.9832, decode.d1.loss_mask: 0.8192, decode.d1.loss_dice: 1.3501, decode.d2.loss_cls: 0.9330, decode.d2.loss_mask: 0.8062, decode.d2.loss_dice: 1.3019, decode.d3.loss_cls: 0.9185, decode.d3.loss_mask: 0.8073, decode.d3.loss_dice: 1.2817, decode.d4.loss_cls: 0.9176, decode.d4.loss_mask: 0.7992, decode.d4.loss_dice: 1.2780, decode.d5.loss_cls: 0.9093, decode.d5.loss_mask: 0.7959, decode.d5.loss_dice: 1.2712, decode.d6.loss_cls: 0.9103, decode.d6.loss_mask: 0.8025, decode.d6.loss_dice: 1.2651, decode.d7.loss_cls: 0.9125, decode.d7.loss_mask: 0.7951, decode.d7.loss_dice: 1.2713, decode.d8.loss_cls: 0.9124, decode.d8.loss_mask: 0.7927, decode.d8.loss_dice: 1.2614, loss: 32.4940 2022-09-12 13:09:03,145 - mmseg - INFO - Iter [16900/80000] lr: 1.133e-06, eta: 1 day, 10:05:46, time: 1.863, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9100, decode.loss_mask: 0.8462, decode.loss_dice: 1.3000, decode.d0.loss_cls: 3.1771, decode.d0.loss_mask: 0.8309, decode.d0.loss_dice: 1.5078, decode.d1.loss_cls: 0.9958, decode.d1.loss_mask: 0.8738, decode.d1.loss_dice: 1.3887, decode.d2.loss_cls: 0.9462, decode.d2.loss_mask: 0.8570, decode.d2.loss_dice: 1.3483, decode.d3.loss_cls: 0.9262, decode.d3.loss_mask: 0.8592, decode.d3.loss_dice: 1.3183, decode.d4.loss_cls: 0.9180, decode.d4.loss_mask: 0.8563, decode.d4.loss_dice: 1.3148, decode.d5.loss_cls: 0.9157, decode.d5.loss_mask: 0.8471, decode.d5.loss_dice: 1.3112, decode.d6.loss_cls: 0.9128, decode.d6.loss_mask: 0.8463, decode.d6.loss_dice: 1.2992, decode.d7.loss_cls: 0.9105, decode.d7.loss_mask: 0.8446, decode.d7.loss_dice: 1.3038, decode.d8.loss_cls: 0.9065, decode.d8.loss_mask: 0.8532, decode.d8.loss_dice: 1.3006, loss: 33.4258 2022-09-12 13:10:35,974 - mmseg - INFO - Iter [16950/80000] lr: 1.132e-06, eta: 1 day, 10:03:53, time: 1.858, data_time: 0.017, memory: 42763, decode.loss_cls: 0.8919, decode.loss_mask: 0.8223, decode.loss_dice: 1.2445, decode.d0.loss_cls: 3.1753, decode.d0.loss_mask: 0.8026, decode.d0.loss_dice: 1.4678, decode.d1.loss_cls: 0.9929, decode.d1.loss_mask: 0.8450, decode.d1.loss_dice: 1.3310, decode.d2.loss_cls: 0.9258, decode.d2.loss_mask: 0.8321, decode.d2.loss_dice: 1.2831, decode.d3.loss_cls: 0.9106, decode.d3.loss_mask: 0.8314, decode.d3.loss_dice: 1.2694, decode.d4.loss_cls: 0.9101, decode.d4.loss_mask: 0.8250, decode.d4.loss_dice: 1.2631, decode.d5.loss_cls: 0.9001, decode.d5.loss_mask: 0.8211, decode.d5.loss_dice: 1.2587, decode.d6.loss_cls: 0.8895, decode.d6.loss_mask: 0.8155, decode.d6.loss_dice: 1.2467, decode.d7.loss_cls: 0.8920, decode.d7.loss_mask: 0.8220, decode.d7.loss_dice: 1.2499, decode.d8.loss_cls: 0.8862, decode.d8.loss_mask: 0.8203, decode.d8.loss_dice: 1.2490, loss: 32.4749 2022-09-12 13:12:09,513 - mmseg - INFO - Saving checkpoint at 17000 iterations 2022-09-12 13:12:40,403 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 13:12:40,411 - mmseg - INFO - Iter [17000/80000] lr: 1.131e-06, eta: 1 day, 10:03:56, time: 2.487, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9549, decode.loss_mask: 0.8232, decode.loss_dice: 1.3375, decode.d0.loss_cls: 3.2416, decode.d0.loss_mask: 0.8137, decode.d0.loss_dice: 1.5524, decode.d1.loss_cls: 1.0364, decode.d1.loss_mask: 0.8529, decode.d1.loss_dice: 1.4231, decode.d2.loss_cls: 0.9859, decode.d2.loss_mask: 0.8317, decode.d2.loss_dice: 1.3632, decode.d3.loss_cls: 0.9696, decode.d3.loss_mask: 0.8251, decode.d3.loss_dice: 1.3411, decode.d4.loss_cls: 0.9690, decode.d4.loss_mask: 0.8300, decode.d4.loss_dice: 1.3444, decode.d5.loss_cls: 0.9570, decode.d5.loss_mask: 0.8308, decode.d5.loss_dice: 1.3340, decode.d6.loss_cls: 0.9518, decode.d6.loss_mask: 0.8297, decode.d6.loss_dice: 1.3344, decode.d7.loss_cls: 0.9628, decode.d7.loss_mask: 0.8277, decode.d7.loss_dice: 1.3332, decode.d8.loss_cls: 0.9521, decode.d8.loss_mask: 0.8260, decode.d8.loss_dice: 1.3323, loss: 33.9676 2022-09-12 13:14:14,063 - mmseg - INFO - Iter [17050/80000] lr: 1.130e-06, eta: 1 day, 10:02:05, time: 1.875, data_time: 0.018, memory: 42763, decode.loss_cls: 0.9630, decode.loss_mask: 0.8149, decode.loss_dice: 1.2753, decode.d0.loss_cls: 3.2028, decode.d0.loss_mask: 0.8003, decode.d0.loss_dice: 1.4946, decode.d1.loss_cls: 1.0369, decode.d1.loss_mask: 0.8455, decode.d1.loss_dice: 1.3676, decode.d2.loss_cls: 0.9806, decode.d2.loss_mask: 0.8296, decode.d2.loss_dice: 1.3212, decode.d3.loss_cls: 0.9720, decode.d3.loss_mask: 0.8227, decode.d3.loss_dice: 1.2925, decode.d4.loss_cls: 0.9733, decode.d4.loss_mask: 0.8123, decode.d4.loss_dice: 1.2896, decode.d5.loss_cls: 0.9678, decode.d5.loss_mask: 0.8155, decode.d5.loss_dice: 1.2870, decode.d6.loss_cls: 0.9621, decode.d6.loss_mask: 0.8108, decode.d6.loss_dice: 1.2785, decode.d7.loss_cls: 0.9605, decode.d7.loss_mask: 0.8071, decode.d7.loss_dice: 1.2764, decode.d8.loss_cls: 0.9592, decode.d8.loss_mask: 0.8151, decode.d8.loss_dice: 1.2795, loss: 33.3143 2022-09-12 13:15:46,990 - mmseg - INFO - Iter [17100/80000] lr: 1.129e-06, eta: 1 day, 10:00:12, time: 1.858, data_time: 0.017, memory: 42763, decode.loss_cls: 0.9334, decode.loss_mask: 0.8044, decode.loss_dice: 1.3109, decode.d0.loss_cls: 3.1856, decode.d0.loss_mask: 0.7980, decode.d0.loss_dice: 1.5219, decode.d1.loss_cls: 1.0256, decode.d1.loss_mask: 0.8283, decode.d1.loss_dice: 1.3922, decode.d2.loss_cls: 0.9664, decode.d2.loss_mask: 0.8090, decode.d2.loss_dice: 1.3397, decode.d3.loss_cls: 0.9522, decode.d3.loss_mask: 0.8078, decode.d3.loss_dice: 1.3159, decode.d4.loss_cls: 0.9479, decode.d4.loss_mask: 0.8022, decode.d4.loss_dice: 1.3144, decode.d5.loss_cls: 0.9370, decode.d5.loss_mask: 0.8010, decode.d5.loss_dice: 1.3103, decode.d6.loss_cls: 0.9347, decode.d6.loss_mask: 0.8029, decode.d6.loss_dice: 1.3018, decode.d7.loss_cls: 0.9361, decode.d7.loss_mask: 0.8013, decode.d7.loss_dice: 1.3175, decode.d8.loss_cls: 0.9278, decode.d8.loss_mask: 0.8047, decode.d8.loss_dice: 1.3117, loss: 33.2425 2022-09-12 13:17:19,658 - mmseg - INFO - Iter [17150/80000] lr: 1.128e-06, eta: 1 day, 9:58:18, time: 1.853, data_time: 0.017, memory: 42763, decode.loss_cls: 0.9385, decode.loss_mask: 0.8173, decode.loss_dice: 1.3124, decode.d0.loss_cls: 3.2013, decode.d0.loss_mask: 0.8044, decode.d0.loss_dice: 1.5346, decode.d1.loss_cls: 1.0123, decode.d1.loss_mask: 0.8380, decode.d1.loss_dice: 1.3970, decode.d2.loss_cls: 0.9554, decode.d2.loss_mask: 0.8216, decode.d2.loss_dice: 1.3380, decode.d3.loss_cls: 0.9440, decode.d3.loss_mask: 0.8193, decode.d3.loss_dice: 1.3196, decode.d4.loss_cls: 0.9413, decode.d4.loss_mask: 0.8156, decode.d4.loss_dice: 1.3147, decode.d5.loss_cls: 0.9397, decode.d5.loss_mask: 0.8109, decode.d5.loss_dice: 1.3149, decode.d6.loss_cls: 0.9342, decode.d6.loss_mask: 0.8094, decode.d6.loss_dice: 1.3095, decode.d7.loss_cls: 0.9354, decode.d7.loss_mask: 0.8100, decode.d7.loss_dice: 1.3035, decode.d8.loss_cls: 0.9346, decode.d8.loss_mask: 0.8153, decode.d8.loss_dice: 1.3151, loss: 33.3580 2022-09-12 13:18:53,491 - mmseg - INFO - Iter [17200/80000] lr: 1.127e-06, eta: 1 day, 9:56:28, time: 1.877, data_time: 0.017, memory: 42763, decode.loss_cls: 0.9300, decode.loss_mask: 0.8158, decode.loss_dice: 1.2589, decode.d0.loss_cls: 3.1766, decode.d0.loss_mask: 0.8078, decode.d0.loss_dice: 1.4750, decode.d1.loss_cls: 0.9955, decode.d1.loss_mask: 0.8419, decode.d1.loss_dice: 1.3395, decode.d2.loss_cls: 0.9371, decode.d2.loss_mask: 0.8173, decode.d2.loss_dice: 1.2909, decode.d3.loss_cls: 0.9311, decode.d3.loss_mask: 0.8149, decode.d3.loss_dice: 1.2687, decode.d4.loss_cls: 0.9299, decode.d4.loss_mask: 0.8171, decode.d4.loss_dice: 1.2709, decode.d5.loss_cls: 0.9260, decode.d5.loss_mask: 0.8130, decode.d5.loss_dice: 1.2665, decode.d6.loss_cls: 0.9259, decode.d6.loss_mask: 0.8139, decode.d6.loss_dice: 1.2608, decode.d7.loss_cls: 0.9230, decode.d7.loss_mask: 0.8130, decode.d7.loss_dice: 1.2578, decode.d8.loss_cls: 0.9227, decode.d8.loss_mask: 0.8091, decode.d8.loss_dice: 1.2582, loss: 32.7090 2022-09-12 13:20:27,265 - mmseg - INFO - Iter [17250/80000] lr: 1.126e-06, eta: 1 day, 9:54:38, time: 1.875, data_time: 0.018, memory: 42763, decode.loss_cls: 0.9045, decode.loss_mask: 0.8284, decode.loss_dice: 1.3058, decode.d0.loss_cls: 3.1339, decode.d0.loss_mask: 0.8245, decode.d0.loss_dice: 1.5089, decode.d1.loss_cls: 0.9914, decode.d1.loss_mask: 0.8461, decode.d1.loss_dice: 1.3999, decode.d2.loss_cls: 0.9311, decode.d2.loss_mask: 0.8347, decode.d2.loss_dice: 1.3331, decode.d3.loss_cls: 0.9257, decode.d3.loss_mask: 0.8326, decode.d3.loss_dice: 1.3187, decode.d4.loss_cls: 0.9157, decode.d4.loss_mask: 0.8289, decode.d4.loss_dice: 1.3154, decode.d5.loss_cls: 0.9053, decode.d5.loss_mask: 0.8290, decode.d5.loss_dice: 1.3161, decode.d6.loss_cls: 0.9090, decode.d6.loss_mask: 0.8257, decode.d6.loss_dice: 1.3061, decode.d7.loss_cls: 0.9051, decode.d7.loss_mask: 0.8274, decode.d7.loss_dice: 1.3060, decode.d8.loss_cls: 0.8992, decode.d8.loss_mask: 0.8290, decode.d8.loss_dice: 1.3094, loss: 33.1466 2022-09-12 13:22:00,145 - mmseg - INFO - Iter [17300/80000] lr: 1.125e-06, eta: 1 day, 9:52:44, time: 1.858, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9139, decode.loss_mask: 0.8191, decode.loss_dice: 1.2859, decode.d0.loss_cls: 3.2040, decode.d0.loss_mask: 0.8089, decode.d0.loss_dice: 1.5031, decode.d1.loss_cls: 1.0086, decode.d1.loss_mask: 0.8415, decode.d1.loss_dice: 1.3720, decode.d2.loss_cls: 0.9497, decode.d2.loss_mask: 0.8309, decode.d2.loss_dice: 1.3163, decode.d3.loss_cls: 0.9369, decode.d3.loss_mask: 0.8213, decode.d3.loss_dice: 1.2989, decode.d4.loss_cls: 0.9336, decode.d4.loss_mask: 0.8227, decode.d4.loss_dice: 1.2960, decode.d5.loss_cls: 0.9264, decode.d5.loss_mask: 0.8200, decode.d5.loss_dice: 1.2961, decode.d6.loss_cls: 0.9182, decode.d6.loss_mask: 0.8231, decode.d6.loss_dice: 1.2838, decode.d7.loss_cls: 0.9197, decode.d7.loss_mask: 0.8244, decode.d7.loss_dice: 1.2860, decode.d8.loss_cls: 0.9130, decode.d8.loss_mask: 0.8213, decode.d8.loss_dice: 1.2921, loss: 33.0871 2022-09-12 13:23:33,731 - mmseg - INFO - Iter [17350/80000] lr: 1.124e-06, eta: 1 day, 9:50:54, time: 1.872, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9108, decode.loss_mask: 0.8199, decode.loss_dice: 1.3337, decode.d0.loss_cls: 3.1739, decode.d0.loss_mask: 0.8067, decode.d0.loss_dice: 1.5289, decode.d1.loss_cls: 1.0013, decode.d1.loss_mask: 0.8404, decode.d1.loss_dice: 1.4099, decode.d2.loss_cls: 0.9393, decode.d2.loss_mask: 0.8279, decode.d2.loss_dice: 1.3489, decode.d3.loss_cls: 0.9268, decode.d3.loss_mask: 0.8226, decode.d3.loss_dice: 1.3389, decode.d4.loss_cls: 0.9294, decode.d4.loss_mask: 0.8169, decode.d4.loss_dice: 1.3356, decode.d5.loss_cls: 0.9315, decode.d5.loss_mask: 0.8138, decode.d5.loss_dice: 1.3377, decode.d6.loss_cls: 0.9210, decode.d6.loss_mask: 0.8144, decode.d6.loss_dice: 1.3259, decode.d7.loss_cls: 0.9184, decode.d7.loss_mask: 0.8155, decode.d7.loss_dice: 1.3259, decode.d8.loss_cls: 0.9141, decode.d8.loss_mask: 0.8190, decode.d8.loss_dice: 1.3330, loss: 33.3822 2022-09-12 13:25:06,856 - mmseg - INFO - Iter [17400/80000] lr: 1.124e-06, eta: 1 day, 9:49:02, time: 1.863, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9421, decode.loss_mask: 0.8164, decode.loss_dice: 1.2831, decode.d0.loss_cls: 3.1862, decode.d0.loss_mask: 0.8126, decode.d0.loss_dice: 1.5020, decode.d1.loss_cls: 1.0283, decode.d1.loss_mask: 0.8380, decode.d1.loss_dice: 1.3734, decode.d2.loss_cls: 0.9580, decode.d2.loss_mask: 0.8367, decode.d2.loss_dice: 1.3230, decode.d3.loss_cls: 0.9472, decode.d3.loss_mask: 0.8249, decode.d3.loss_dice: 1.3095, decode.d4.loss_cls: 0.9550, decode.d4.loss_mask: 0.8172, decode.d4.loss_dice: 1.3079, decode.d5.loss_cls: 0.9458, decode.d5.loss_mask: 0.8141, decode.d5.loss_dice: 1.3024, decode.d6.loss_cls: 0.9436, decode.d6.loss_mask: 0.8178, decode.d6.loss_dice: 1.2875, decode.d7.loss_cls: 0.9395, decode.d7.loss_mask: 0.8161, decode.d7.loss_dice: 1.2901, decode.d8.loss_cls: 0.9382, decode.d8.loss_mask: 0.8132, decode.d8.loss_dice: 1.2855, loss: 33.2554 2022-09-12 13:26:40,574 - mmseg - INFO - Iter [17450/80000] lr: 1.123e-06, eta: 1 day, 9:47:12, time: 1.874, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9265, decode.loss_mask: 0.8377, decode.loss_dice: 1.2781, decode.d0.loss_cls: 3.1468, decode.d0.loss_mask: 0.8269, decode.d0.loss_dice: 1.4908, decode.d1.loss_cls: 1.0035, decode.d1.loss_mask: 0.8577, decode.d1.loss_dice: 1.3641, decode.d2.loss_cls: 0.9515, decode.d2.loss_mask: 0.8435, decode.d2.loss_dice: 1.3063, decode.d3.loss_cls: 0.9361, decode.d3.loss_mask: 0.8393, decode.d3.loss_dice: 1.2886, decode.d4.loss_cls: 0.9339, decode.d4.loss_mask: 0.8346, decode.d4.loss_dice: 1.2868, decode.d5.loss_cls: 0.9308, decode.d5.loss_mask: 0.8347, decode.d5.loss_dice: 1.2857, decode.d6.loss_cls: 0.9275, decode.d6.loss_mask: 0.8329, decode.d6.loss_dice: 1.2779, decode.d7.loss_cls: 0.9281, decode.d7.loss_mask: 0.8347, decode.d7.loss_dice: 1.2807, decode.d8.loss_cls: 0.9190, decode.d8.loss_mask: 0.8362, decode.d8.loss_dice: 1.2818, loss: 33.1228 2022-09-12 13:28:13,732 - mmseg - INFO - Iter [17500/80000] lr: 1.122e-06, eta: 1 day, 9:45:20, time: 1.864, data_time: 0.017, memory: 42763, decode.loss_cls: 0.9429, decode.loss_mask: 0.8053, decode.loss_dice: 1.3011, decode.d0.loss_cls: 3.1435, decode.d0.loss_mask: 0.7950, decode.d0.loss_dice: 1.5201, decode.d1.loss_cls: 1.0208, decode.d1.loss_mask: 0.8399, decode.d1.loss_dice: 1.3978, decode.d2.loss_cls: 0.9677, decode.d2.loss_mask: 0.8264, decode.d2.loss_dice: 1.3367, decode.d3.loss_cls: 0.9545, decode.d3.loss_mask: 0.8189, decode.d3.loss_dice: 1.3171, decode.d4.loss_cls: 0.9583, decode.d4.loss_mask: 0.8139, decode.d4.loss_dice: 1.3148, decode.d5.loss_cls: 0.9456, decode.d5.loss_mask: 0.8187, decode.d5.loss_dice: 1.3139, decode.d6.loss_cls: 0.9394, decode.d6.loss_mask: 0.8127, decode.d6.loss_dice: 1.3021, decode.d7.loss_cls: 0.9389, decode.d7.loss_mask: 0.8093, decode.d7.loss_dice: 1.2982, decode.d8.loss_cls: 0.9398, decode.d8.loss_mask: 0.8115, decode.d8.loss_dice: 1.2990, loss: 33.3037 2022-09-12 13:29:47,095 - mmseg - INFO - Iter [17550/80000] lr: 1.121e-06, eta: 1 day, 9:43:29, time: 1.867, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9246, decode.loss_mask: 0.8264, decode.loss_dice: 1.2759, decode.d0.loss_cls: 3.1023, decode.d0.loss_mask: 0.8139, decode.d0.loss_dice: 1.4965, decode.d1.loss_cls: 1.0068, decode.d1.loss_mask: 0.8512, decode.d1.loss_dice: 1.3538, decode.d2.loss_cls: 0.9464, decode.d2.loss_mask: 0.8379, decode.d2.loss_dice: 1.3198, decode.d3.loss_cls: 0.9288, decode.d3.loss_mask: 0.8308, decode.d3.loss_dice: 1.2935, decode.d4.loss_cls: 0.9314, decode.d4.loss_mask: 0.8282, decode.d4.loss_dice: 1.2814, decode.d5.loss_cls: 0.9237, decode.d5.loss_mask: 0.8324, decode.d5.loss_dice: 1.2749, decode.d6.loss_cls: 0.9265, decode.d6.loss_mask: 0.8341, decode.d6.loss_dice: 1.2721, decode.d7.loss_cls: 0.9273, decode.d7.loss_mask: 0.8294, decode.d7.loss_dice: 1.2719, decode.d8.loss_cls: 0.9232, decode.d8.loss_mask: 0.8301, decode.d8.loss_dice: 1.2731, loss: 32.9682 2022-09-12 13:31:21,299 - mmseg - INFO - Iter [17600/80000] lr: 1.120e-06, eta: 1 day, 9:41:41, time: 1.884, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9234, decode.loss_mask: 0.8375, decode.loss_dice: 1.2946, decode.d0.loss_cls: 3.1079, decode.d0.loss_mask: 0.8226, decode.d0.loss_dice: 1.4779, decode.d1.loss_cls: 1.0083, decode.d1.loss_mask: 0.8624, decode.d1.loss_dice: 1.3799, decode.d2.loss_cls: 0.9575, decode.d2.loss_mask: 0.8486, decode.d2.loss_dice: 1.3255, decode.d3.loss_cls: 0.9448, decode.d3.loss_mask: 0.8365, decode.d3.loss_dice: 1.2997, decode.d4.loss_cls: 0.9448, decode.d4.loss_mask: 0.8316, decode.d4.loss_dice: 1.2984, decode.d5.loss_cls: 0.9295, decode.d5.loss_mask: 0.8283, decode.d5.loss_dice: 1.2946, decode.d6.loss_cls: 0.9308, decode.d6.loss_mask: 0.8231, decode.d6.loss_dice: 1.2887, decode.d7.loss_cls: 0.9267, decode.d7.loss_mask: 0.8294, decode.d7.loss_dice: 1.2978, decode.d8.loss_cls: 0.9282, decode.d8.loss_mask: 0.8361, decode.d8.loss_dice: 1.2991, loss: 33.2140 2022-09-12 13:32:54,317 - mmseg - INFO - Iter [17650/80000] lr: 1.119e-06, eta: 1 day, 9:39:49, time: 1.860, data_time: 0.017, memory: 42763, decode.loss_cls: 0.9065, decode.loss_mask: 0.8005, decode.loss_dice: 1.2757, decode.d0.loss_cls: 3.1178, decode.d0.loss_mask: 0.7886, decode.d0.loss_dice: 1.4858, decode.d1.loss_cls: 0.9873, decode.d1.loss_mask: 0.8318, decode.d1.loss_dice: 1.3727, decode.d2.loss_cls: 0.9327, decode.d2.loss_mask: 0.8078, decode.d2.loss_dice: 1.3110, decode.d3.loss_cls: 0.9249, decode.d3.loss_mask: 0.7989, decode.d3.loss_dice: 1.2842, decode.d4.loss_cls: 0.9141, decode.d4.loss_mask: 0.7982, decode.d4.loss_dice: 1.2778, decode.d5.loss_cls: 0.9084, decode.d5.loss_mask: 0.8011, decode.d5.loss_dice: 1.2783, decode.d6.loss_cls: 0.9087, decode.d6.loss_mask: 0.8017, decode.d6.loss_dice: 1.2679, decode.d7.loss_cls: 0.9116, decode.d7.loss_mask: 0.8006, decode.d7.loss_dice: 1.2680, decode.d8.loss_cls: 0.9041, decode.d8.loss_mask: 0.8019, decode.d8.loss_dice: 1.2729, loss: 32.5414 2022-09-12 13:34:28,404 - mmseg - INFO - Iter [17700/80000] lr: 1.118e-06, eta: 1 day, 9:38:01, time: 1.880, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9476, decode.loss_mask: 0.8136, decode.loss_dice: 1.3220, decode.d0.loss_cls: 3.1423, decode.d0.loss_mask: 0.7995, decode.d0.loss_dice: 1.5227, decode.d1.loss_cls: 1.0277, decode.d1.loss_mask: 0.8387, decode.d1.loss_dice: 1.4005, decode.d2.loss_cls: 0.9813, decode.d2.loss_mask: 0.8188, decode.d2.loss_dice: 1.3501, decode.d3.loss_cls: 0.9606, decode.d3.loss_mask: 0.8153, decode.d3.loss_dice: 1.3271, decode.d4.loss_cls: 0.9583, decode.d4.loss_mask: 0.8122, decode.d4.loss_dice: 1.3268, decode.d5.loss_cls: 0.9511, decode.d5.loss_mask: 0.8141, decode.d5.loss_dice: 1.3284, decode.d6.loss_cls: 0.9460, decode.d6.loss_mask: 0.8150, decode.d6.loss_dice: 1.3132, decode.d7.loss_cls: 0.9485, decode.d7.loss_mask: 0.8075, decode.d7.loss_dice: 1.3228, decode.d8.loss_cls: 0.9390, decode.d8.loss_mask: 0.8123, decode.d8.loss_dice: 1.3205, loss: 33.4833 2022-09-12 13:36:01,439 - mmseg - INFO - Iter [17750/80000] lr: 1.117e-06, eta: 1 day, 9:36:10, time: 1.863, data_time: 0.017, memory: 42763, decode.loss_cls: 0.9351, decode.loss_mask: 0.8233, decode.loss_dice: 1.2884, decode.d0.loss_cls: 3.1180, decode.d0.loss_mask: 0.8185, decode.d0.loss_dice: 1.5098, decode.d1.loss_cls: 1.0175, decode.d1.loss_mask: 0.8508, decode.d1.loss_dice: 1.3769, decode.d2.loss_cls: 0.9505, decode.d2.loss_mask: 0.8409, decode.d2.loss_dice: 1.3242, decode.d3.loss_cls: 0.9454, decode.d3.loss_mask: 0.8268, decode.d3.loss_dice: 1.3012, decode.d4.loss_cls: 0.9398, decode.d4.loss_mask: 0.8263, decode.d4.loss_dice: 1.3028, decode.d5.loss_cls: 0.9400, decode.d5.loss_mask: 0.8201, decode.d5.loss_dice: 1.2990, decode.d6.loss_cls: 0.9370, decode.d6.loss_mask: 0.8182, decode.d6.loss_dice: 1.2753, decode.d7.loss_cls: 0.9394, decode.d7.loss_mask: 0.8165, decode.d7.loss_dice: 1.2851, decode.d8.loss_cls: 0.9282, decode.d8.loss_mask: 0.8204, decode.d8.loss_dice: 1.2834, loss: 33.1589 2022-09-12 13:37:34,691 - mmseg - INFO - Iter [17800/80000] lr: 1.116e-06, eta: 1 day, 9:34:19, time: 1.865, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9605, decode.loss_mask: 0.8213, decode.loss_dice: 1.3006, decode.d0.loss_cls: 3.1387, decode.d0.loss_mask: 0.8168, decode.d0.loss_dice: 1.5250, decode.d1.loss_cls: 1.0314, decode.d1.loss_mask: 0.8536, decode.d1.loss_dice: 1.3939, decode.d2.loss_cls: 0.9703, decode.d2.loss_mask: 0.8375, decode.d2.loss_dice: 1.3344, decode.d3.loss_cls: 0.9580, decode.d3.loss_mask: 0.8315, decode.d3.loss_dice: 1.3082, decode.d4.loss_cls: 0.9564, decode.d4.loss_mask: 0.8342, decode.d4.loss_dice: 1.3213, decode.d5.loss_cls: 0.9544, decode.d5.loss_mask: 0.8268, decode.d5.loss_dice: 1.3057, decode.d6.loss_cls: 0.9620, decode.d6.loss_mask: 0.8161, decode.d6.loss_dice: 1.2952, decode.d7.loss_cls: 0.9545, decode.d7.loss_mask: 0.8262, decode.d7.loss_dice: 1.2991, decode.d8.loss_cls: 0.9543, decode.d8.loss_mask: 0.8225, decode.d8.loss_dice: 1.2984, loss: 33.5089 2022-09-12 13:39:09,465 - mmseg - INFO - Iter [17850/80000] lr: 1.115e-06, eta: 1 day, 9:32:33, time: 1.895, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9767, decode.loss_mask: 0.8179, decode.loss_dice: 1.3215, decode.d0.loss_cls: 3.1621, decode.d0.loss_mask: 0.8063, decode.d0.loss_dice: 1.5350, decode.d1.loss_cls: 1.0525, decode.d1.loss_mask: 0.8323, decode.d1.loss_dice: 1.4012, decode.d2.loss_cls: 0.9937, decode.d2.loss_mask: 0.8226, decode.d2.loss_dice: 1.3491, decode.d3.loss_cls: 0.9859, decode.d3.loss_mask: 0.8171, decode.d3.loss_dice: 1.3257, decode.d4.loss_cls: 0.9869, decode.d4.loss_mask: 0.8156, decode.d4.loss_dice: 1.3227, decode.d5.loss_cls: 0.9813, decode.d5.loss_mask: 0.8123, decode.d5.loss_dice: 1.3210, decode.d6.loss_cls: 0.9812, decode.d6.loss_mask: 0.8125, decode.d6.loss_dice: 1.3135, decode.d7.loss_cls: 0.9764, decode.d7.loss_mask: 0.8153, decode.d7.loss_dice: 1.3155, decode.d8.loss_cls: 0.9736, decode.d8.loss_mask: 0.8136, decode.d8.loss_dice: 1.3135, loss: 33.7544 2022-09-12 13:40:43,316 - mmseg - INFO - Iter [17900/80000] lr: 1.115e-06, eta: 1 day, 9:30:45, time: 1.876, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8967, decode.loss_mask: 0.8285, decode.loss_dice: 1.2735, decode.d0.loss_cls: 3.0575, decode.d0.loss_mask: 0.8086, decode.d0.loss_dice: 1.4703, decode.d1.loss_cls: 0.9811, decode.d1.loss_mask: 0.8489, decode.d1.loss_dice: 1.3567, decode.d2.loss_cls: 0.9161, decode.d2.loss_mask: 0.8349, decode.d2.loss_dice: 1.3082, decode.d3.loss_cls: 0.9086, decode.d3.loss_mask: 0.8280, decode.d3.loss_dice: 1.2881, decode.d4.loss_cls: 0.9066, decode.d4.loss_mask: 0.8245, decode.d4.loss_dice: 1.2844, decode.d5.loss_cls: 0.8985, decode.d5.loss_mask: 0.8260, decode.d5.loss_dice: 1.2795, decode.d6.loss_cls: 0.9057, decode.d6.loss_mask: 0.8203, decode.d6.loss_dice: 1.2732, decode.d7.loss_cls: 0.8966, decode.d7.loss_mask: 0.8266, decode.d7.loss_dice: 1.2834, decode.d8.loss_cls: 0.8898, decode.d8.loss_mask: 0.8311, decode.d8.loss_dice: 1.2743, loss: 32.6262 2022-09-12 13:42:17,437 - mmseg - INFO - Iter [17950/80000] lr: 1.114e-06, eta: 1 day, 9:28:57, time: 1.883, data_time: 0.018, memory: 42763, decode.loss_cls: 0.9192, decode.loss_mask: 0.8280, decode.loss_dice: 1.2594, decode.d0.loss_cls: 3.0854, decode.d0.loss_mask: 0.8149, decode.d0.loss_dice: 1.4647, decode.d1.loss_cls: 1.0015, decode.d1.loss_mask: 0.8428, decode.d1.loss_dice: 1.3548, decode.d2.loss_cls: 0.9533, decode.d2.loss_mask: 0.8302, decode.d2.loss_dice: 1.2954, decode.d3.loss_cls: 0.9401, decode.d3.loss_mask: 0.8230, decode.d3.loss_dice: 1.2855, decode.d4.loss_cls: 0.9398, decode.d4.loss_mask: 0.8168, decode.d4.loss_dice: 1.2843, decode.d5.loss_cls: 0.9326, decode.d5.loss_mask: 0.8229, decode.d5.loss_dice: 1.2708, decode.d6.loss_cls: 0.9227, decode.d6.loss_mask: 0.8235, decode.d6.loss_dice: 1.2570, decode.d7.loss_cls: 0.9209, decode.d7.loss_mask: 0.8243, decode.d7.loss_dice: 1.2635, decode.d8.loss_cls: 0.9163, decode.d8.loss_mask: 0.8253, decode.d8.loss_dice: 1.2641, loss: 32.7829 2022-09-12 13:43:50,179 - mmseg - INFO - Saving checkpoint at 18000 iterations 2022-09-12 13:44:20,336 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 13:44:20,343 - mmseg - INFO - Iter [18000/80000] lr: 1.113e-06, eta: 1 day, 9:28:49, time: 2.456, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9703, decode.loss_mask: 0.8091, decode.loss_dice: 1.3089, decode.d0.loss_cls: 3.1426, decode.d0.loss_mask: 0.8119, decode.d0.loss_dice: 1.5181, decode.d1.loss_cls: 1.0426, decode.d1.loss_mask: 0.8365, decode.d1.loss_dice: 1.3876, decode.d2.loss_cls: 0.9849, decode.d2.loss_mask: 0.8286, decode.d2.loss_dice: 1.3416, decode.d3.loss_cls: 0.9703, decode.d3.loss_mask: 0.8212, decode.d3.loss_dice: 1.3217, decode.d4.loss_cls: 0.9683, decode.d4.loss_mask: 0.8177, decode.d4.loss_dice: 1.3182, decode.d5.loss_cls: 0.9709, decode.d5.loss_mask: 0.8163, decode.d5.loss_dice: 1.3131, decode.d6.loss_cls: 0.9746, decode.d6.loss_mask: 0.8064, decode.d6.loss_dice: 1.3081, decode.d7.loss_cls: 0.9687, decode.d7.loss_mask: 0.8032, decode.d7.loss_dice: 1.3076, decode.d8.loss_cls: 0.9664, decode.d8.loss_mask: 0.8072, decode.d8.loss_dice: 1.3056, loss: 33.5481 2022-09-12 13:45:54,035 - mmseg - INFO - Iter [18050/80000] lr: 1.112e-06, eta: 1 day, 9:27:00, time: 1.876, data_time: 0.018, memory: 42763, decode.loss_cls: 0.9119, decode.loss_mask: 0.8315, decode.loss_dice: 1.2703, decode.d0.loss_cls: 3.0690, decode.d0.loss_mask: 0.8162, decode.d0.loss_dice: 1.4893, decode.d1.loss_cls: 1.0071, decode.d1.loss_mask: 0.8446, decode.d1.loss_dice: 1.3530, decode.d2.loss_cls: 0.9366, decode.d2.loss_mask: 0.8338, decode.d2.loss_dice: 1.3085, decode.d3.loss_cls: 0.9289, decode.d3.loss_mask: 0.8275, decode.d3.loss_dice: 1.2924, decode.d4.loss_cls: 0.9247, decode.d4.loss_mask: 0.8200, decode.d4.loss_dice: 1.2860, decode.d5.loss_cls: 0.9163, decode.d5.loss_mask: 0.8238, decode.d5.loss_dice: 1.2749, decode.d6.loss_cls: 0.9087, decode.d6.loss_mask: 0.8297, decode.d6.loss_dice: 1.2689, decode.d7.loss_cls: 0.9088, decode.d7.loss_mask: 0.8290, decode.d7.loss_dice: 1.2656, decode.d8.loss_cls: 0.9034, decode.d8.loss_mask: 0.8283, decode.d8.loss_dice: 1.2695, loss: 32.7782 2022-09-12 13:47:26,419 - mmseg - INFO - Iter [18100/80000] lr: 1.111e-06, eta: 1 day, 9:25:06, time: 1.848, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8994, decode.loss_mask: 0.8163, decode.loss_dice: 1.2668, decode.d0.loss_cls: 3.0751, decode.d0.loss_mask: 0.8081, decode.d0.loss_dice: 1.4786, decode.d1.loss_cls: 0.9859, decode.d1.loss_mask: 0.8368, decode.d1.loss_dice: 1.3329, decode.d2.loss_cls: 0.9189, decode.d2.loss_mask: 0.8214, decode.d2.loss_dice: 1.2985, decode.d3.loss_cls: 0.9057, decode.d3.loss_mask: 0.8223, decode.d3.loss_dice: 1.2800, decode.d4.loss_cls: 0.9149, decode.d4.loss_mask: 0.8167, decode.d4.loss_dice: 1.2717, decode.d5.loss_cls: 0.9011, decode.d5.loss_mask: 0.8200, decode.d5.loss_dice: 1.2721, decode.d6.loss_cls: 0.9078, decode.d6.loss_mask: 0.8152, decode.d6.loss_dice: 1.2723, decode.d7.loss_cls: 0.9020, decode.d7.loss_mask: 0.8135, decode.d7.loss_dice: 1.2623, decode.d8.loss_cls: 0.8997, decode.d8.loss_mask: 0.8118, decode.d8.loss_dice: 1.2626, loss: 32.4905 2022-09-12 13:48:59,179 - mmseg - INFO - Iter [18150/80000] lr: 1.110e-06, eta: 1 day, 9:23:14, time: 1.855, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8860, decode.loss_mask: 0.7836, decode.loss_dice: 1.2648, decode.d0.loss_cls: 3.0720, decode.d0.loss_mask: 0.7720, decode.d0.loss_dice: 1.4752, decode.d1.loss_cls: 0.9749, decode.d1.loss_mask: 0.8035, decode.d1.loss_dice: 1.3429, decode.d2.loss_cls: 0.9104, decode.d2.loss_mask: 0.7927, decode.d2.loss_dice: 1.3000, decode.d3.loss_cls: 0.8971, decode.d3.loss_mask: 0.7945, decode.d3.loss_dice: 1.2756, decode.d4.loss_cls: 0.8913, decode.d4.loss_mask: 0.7892, decode.d4.loss_dice: 1.2748, decode.d5.loss_cls: 0.8839, decode.d5.loss_mask: 0.7856, decode.d5.loss_dice: 1.2724, decode.d6.loss_cls: 0.8858, decode.d6.loss_mask: 0.7820, decode.d6.loss_dice: 1.2641, decode.d7.loss_cls: 0.8810, decode.d7.loss_mask: 0.7826, decode.d7.loss_dice: 1.2657, decode.d8.loss_cls: 0.8770, decode.d8.loss_mask: 0.7831, decode.d8.loss_dice: 1.2622, loss: 32.0260 2022-09-12 13:50:31,517 - mmseg - INFO - Iter [18200/80000] lr: 1.109e-06, eta: 1 day, 9:21:20, time: 1.847, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9183, decode.loss_mask: 0.8272, decode.loss_dice: 1.2531, decode.d0.loss_cls: 3.0608, decode.d0.loss_mask: 0.8194, decode.d0.loss_dice: 1.4554, decode.d1.loss_cls: 0.9974, decode.d1.loss_mask: 0.8490, decode.d1.loss_dice: 1.3283, decode.d2.loss_cls: 0.9331, decode.d2.loss_mask: 0.8445, decode.d2.loss_dice: 1.2899, decode.d3.loss_cls: 0.9198, decode.d3.loss_mask: 0.8345, decode.d3.loss_dice: 1.2708, decode.d4.loss_cls: 0.9191, decode.d4.loss_mask: 0.8351, decode.d4.loss_dice: 1.2669, decode.d5.loss_cls: 0.9163, decode.d5.loss_mask: 0.8287, decode.d5.loss_dice: 1.2577, decode.d6.loss_cls: 0.9115, decode.d6.loss_mask: 0.8265, decode.d6.loss_dice: 1.2564, decode.d7.loss_cls: 0.9098, decode.d7.loss_mask: 0.8265, decode.d7.loss_dice: 1.2554, decode.d8.loss_cls: 0.9110, decode.d8.loss_mask: 0.8263, decode.d8.loss_dice: 1.2516, loss: 32.6004 2022-09-12 13:52:05,129 - mmseg - INFO - Iter [18250/80000] lr: 1.108e-06, eta: 1 day, 9:19:31, time: 1.872, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9222, decode.loss_mask: 0.8170, decode.loss_dice: 1.2850, decode.d0.loss_cls: 3.0788, decode.d0.loss_mask: 0.8119, decode.d0.loss_dice: 1.4966, decode.d1.loss_cls: 1.0038, decode.d1.loss_mask: 0.8387, decode.d1.loss_dice: 1.3747, decode.d2.loss_cls: 0.9521, decode.d2.loss_mask: 0.8250, decode.d2.loss_dice: 1.3233, decode.d3.loss_cls: 0.9356, decode.d3.loss_mask: 0.8132, decode.d3.loss_dice: 1.3051, decode.d4.loss_cls: 0.9279, decode.d4.loss_mask: 0.8178, decode.d4.loss_dice: 1.3004, decode.d5.loss_cls: 0.9240, decode.d5.loss_mask: 0.8178, decode.d5.loss_dice: 1.2967, decode.d6.loss_cls: 0.9231, decode.d6.loss_mask: 0.8203, decode.d6.loss_dice: 1.2838, decode.d7.loss_cls: 0.9183, decode.d7.loss_mask: 0.8171, decode.d7.loss_dice: 1.2905, decode.d8.loss_cls: 0.9172, decode.d8.loss_mask: 0.8190, decode.d8.loss_dice: 1.2831, loss: 32.9399 2022-09-12 13:53:38,025 - mmseg - INFO - Iter [18300/80000] lr: 1.107e-06, eta: 1 day, 9:17:40, time: 1.858, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9302, decode.loss_mask: 0.8124, decode.loss_dice: 1.2800, decode.d0.loss_cls: 3.0842, decode.d0.loss_mask: 0.7987, decode.d0.loss_dice: 1.4790, decode.d1.loss_cls: 1.0097, decode.d1.loss_mask: 0.8325, decode.d1.loss_dice: 1.3584, decode.d2.loss_cls: 0.9535, decode.d2.loss_mask: 0.8199, decode.d2.loss_dice: 1.3017, decode.d3.loss_cls: 0.9457, decode.d3.loss_mask: 0.8098, decode.d3.loss_dice: 1.2958, decode.d4.loss_cls: 0.9364, decode.d4.loss_mask: 0.8135, decode.d4.loss_dice: 1.3009, decode.d5.loss_cls: 0.9321, decode.d5.loss_mask: 0.8079, decode.d5.loss_dice: 1.2921, decode.d6.loss_cls: 0.9291, decode.d6.loss_mask: 0.8068, decode.d6.loss_dice: 1.2807, decode.d7.loss_cls: 0.9306, decode.d7.loss_mask: 0.8104, decode.d7.loss_dice: 1.2877, decode.d8.loss_cls: 0.9278, decode.d8.loss_mask: 0.8081, decode.d8.loss_dice: 1.2796, loss: 32.8554 2022-09-12 13:55:11,350 - mmseg - INFO - Iter [18350/80000] lr: 1.106e-06, eta: 1 day, 9:15:49, time: 1.865, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9232, decode.loss_mask: 0.8259, decode.loss_dice: 1.2837, decode.d0.loss_cls: 3.0536, decode.d0.loss_mask: 0.8212, decode.d0.loss_dice: 1.4974, decode.d1.loss_cls: 1.0097, decode.d1.loss_mask: 0.8503, decode.d1.loss_dice: 1.3649, decode.d2.loss_cls: 0.9476, decode.d2.loss_mask: 0.8382, decode.d2.loss_dice: 1.3144, decode.d3.loss_cls: 0.9392, decode.d3.loss_mask: 0.8277, decode.d3.loss_dice: 1.3009, decode.d4.loss_cls: 0.9286, decode.d4.loss_mask: 0.8349, decode.d4.loss_dice: 1.3067, decode.d5.loss_cls: 0.9208, decode.d5.loss_mask: 0.8307, decode.d5.loss_dice: 1.2920, decode.d6.loss_cls: 0.9234, decode.d6.loss_mask: 0.8311, decode.d6.loss_dice: 1.2846, decode.d7.loss_cls: 0.9260, decode.d7.loss_mask: 0.8254, decode.d7.loss_dice: 1.2918, decode.d8.loss_cls: 0.9214, decode.d8.loss_mask: 0.8245, decode.d8.loss_dice: 1.2868, loss: 33.0268 2022-09-12 13:56:45,374 - mmseg - INFO - Iter [18400/80000] lr: 1.106e-06, eta: 1 day, 9:14:02, time: 1.882, data_time: 0.018, memory: 42763, decode.loss_cls: 0.9240, decode.loss_mask: 0.7956, decode.loss_dice: 1.3124, decode.d0.loss_cls: 3.0865, decode.d0.loss_mask: 0.7948, decode.d0.loss_dice: 1.5289, decode.d1.loss_cls: 0.9912, decode.d1.loss_mask: 0.8246, decode.d1.loss_dice: 1.4064, decode.d2.loss_cls: 0.9282, decode.d2.loss_mask: 0.8143, decode.d2.loss_dice: 1.3571, decode.d3.loss_cls: 0.9234, decode.d3.loss_mask: 0.8070, decode.d3.loss_dice: 1.3319, decode.d4.loss_cls: 0.9212, decode.d4.loss_mask: 0.8029, decode.d4.loss_dice: 1.3356, decode.d5.loss_cls: 0.9186, decode.d5.loss_mask: 0.8047, decode.d5.loss_dice: 1.3382, decode.d6.loss_cls: 0.9137, decode.d6.loss_mask: 0.8034, decode.d6.loss_dice: 1.3244, decode.d7.loss_cls: 0.9179, decode.d7.loss_mask: 0.8008, decode.d7.loss_dice: 1.3171, decode.d8.loss_cls: 0.9132, decode.d8.loss_mask: 0.8043, decode.d8.loss_dice: 1.3188, loss: 33.0612 2022-09-12 13:58:18,151 - mmseg - INFO - Iter [18450/80000] lr: 1.105e-06, eta: 1 day, 9:12:11, time: 1.855, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9439, decode.loss_mask: 0.8381, decode.loss_dice: 1.2889, decode.d0.loss_cls: 3.0515, decode.d0.loss_mask: 0.8246, decode.d0.loss_dice: 1.5005, decode.d1.loss_cls: 1.0267, decode.d1.loss_mask: 0.8568, decode.d1.loss_dice: 1.3759, decode.d2.loss_cls: 0.9619, decode.d2.loss_mask: 0.8446, decode.d2.loss_dice: 1.3276, decode.d3.loss_cls: 0.9486, decode.d3.loss_mask: 0.8382, decode.d3.loss_dice: 1.3065, decode.d4.loss_cls: 0.9471, decode.d4.loss_mask: 0.8446, decode.d4.loss_dice: 1.2991, decode.d5.loss_cls: 0.9400, decode.d5.loss_mask: 0.8345, decode.d5.loss_dice: 1.2856, decode.d6.loss_cls: 0.9395, decode.d6.loss_mask: 0.8311, decode.d6.loss_dice: 1.2872, decode.d7.loss_cls: 0.9458, decode.d7.loss_mask: 0.8322, decode.d7.loss_dice: 1.2836, decode.d8.loss_cls: 0.9396, decode.d8.loss_mask: 0.8336, decode.d8.loss_dice: 1.2803, loss: 33.2582 2022-09-12 13:59:51,682 - mmseg - INFO - Iter [18500/80000] lr: 1.104e-06, eta: 1 day, 9:10:22, time: 1.871, data_time: 0.018, memory: 42763, decode.loss_cls: 0.8718, decode.loss_mask: 0.7719, decode.loss_dice: 1.2687, decode.d0.loss_cls: 3.0800, decode.d0.loss_mask: 0.7571, decode.d0.loss_dice: 1.4723, decode.d1.loss_cls: 0.9544, decode.d1.loss_mask: 0.7960, decode.d1.loss_dice: 1.3455, decode.d2.loss_cls: 0.8945, decode.d2.loss_mask: 0.7808, decode.d2.loss_dice: 1.2975, decode.d3.loss_cls: 0.8767, decode.d3.loss_mask: 0.7804, decode.d3.loss_dice: 1.2787, decode.d4.loss_cls: 0.8712, decode.d4.loss_mask: 0.7809, decode.d4.loss_dice: 1.2778, decode.d5.loss_cls: 0.8676, decode.d5.loss_mask: 0.7779, decode.d5.loss_dice: 1.2720, decode.d6.loss_cls: 0.8653, decode.d6.loss_mask: 0.7735, decode.d6.loss_dice: 1.2670, decode.d7.loss_cls: 0.8696, decode.d7.loss_mask: 0.7741, decode.d7.loss_dice: 1.2656, decode.d8.loss_cls: 0.8706, decode.d8.loss_mask: 0.7687, decode.d8.loss_dice: 1.2692, loss: 31.7974 2022-09-12 14:01:24,419 - mmseg - INFO - Iter [18550/80000] lr: 1.103e-06, eta: 1 day, 9:08:30, time: 1.855, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9477, decode.loss_mask: 0.7942, decode.loss_dice: 1.2741, decode.d0.loss_cls: 3.1018, decode.d0.loss_mask: 0.7912, decode.d0.loss_dice: 1.4969, decode.d1.loss_cls: 1.0284, decode.d1.loss_mask: 0.8231, decode.d1.loss_dice: 1.3666, decode.d2.loss_cls: 0.9782, decode.d2.loss_mask: 0.8093, decode.d2.loss_dice: 1.3145, decode.d3.loss_cls: 0.9609, decode.d3.loss_mask: 0.8016, decode.d3.loss_dice: 1.2943, decode.d4.loss_cls: 0.9578, decode.d4.loss_mask: 0.7972, decode.d4.loss_dice: 1.2941, decode.d5.loss_cls: 0.9545, decode.d5.loss_mask: 0.7891, decode.d5.loss_dice: 1.2805, decode.d6.loss_cls: 0.9461, decode.d6.loss_mask: 0.7913, decode.d6.loss_dice: 1.2779, decode.d7.loss_cls: 0.9481, decode.d7.loss_mask: 0.7895, decode.d7.loss_dice: 1.2732, decode.d8.loss_cls: 0.9483, decode.d8.loss_mask: 0.7841, decode.d8.loss_dice: 1.2710, loss: 32.8857 2022-09-12 14:02:58,996 - mmseg - INFO - Iter [18600/80000] lr: 1.102e-06, eta: 1 day, 9:06:45, time: 1.891, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9190, decode.loss_mask: 0.8141, decode.loss_dice: 1.2557, decode.d0.loss_cls: 3.0730, decode.d0.loss_mask: 0.8089, decode.d0.loss_dice: 1.4654, decode.d1.loss_cls: 0.9999, decode.d1.loss_mask: 0.8357, decode.d1.loss_dice: 1.3326, decode.d2.loss_cls: 0.9495, decode.d2.loss_mask: 0.8183, decode.d2.loss_dice: 1.2864, decode.d3.loss_cls: 0.9397, decode.d3.loss_mask: 0.8212, decode.d3.loss_dice: 1.2664, decode.d4.loss_cls: 0.9356, decode.d4.loss_mask: 0.8167, decode.d4.loss_dice: 1.2641, decode.d5.loss_cls: 0.9245, decode.d5.loss_mask: 0.8126, decode.d5.loss_dice: 1.2547, decode.d6.loss_cls: 0.9186, decode.d6.loss_mask: 0.8081, decode.d6.loss_dice: 1.2528, decode.d7.loss_cls: 0.9181, decode.d7.loss_mask: 0.8127, decode.d7.loss_dice: 1.2511, decode.d8.loss_cls: 0.9181, decode.d8.loss_mask: 0.8126, decode.d8.loss_dice: 1.2492, loss: 32.5353 2022-09-12 14:04:32,565 - mmseg - INFO - Iter [18650/80000] lr: 1.101e-06, eta: 1 day, 9:04:56, time: 1.872, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8999, decode.loss_mask: 0.8035, decode.loss_dice: 1.2618, decode.d0.loss_cls: 3.0035, decode.d0.loss_mask: 0.7959, decode.d0.loss_dice: 1.4796, decode.d1.loss_cls: 0.9798, decode.d1.loss_mask: 0.8288, decode.d1.loss_dice: 1.3456, decode.d2.loss_cls: 0.9310, decode.d2.loss_mask: 0.8136, decode.d2.loss_dice: 1.2915, decode.d3.loss_cls: 0.9141, decode.d3.loss_mask: 0.8101, decode.d3.loss_dice: 1.2697, decode.d4.loss_cls: 0.9083, decode.d4.loss_mask: 0.8131, decode.d4.loss_dice: 1.2686, decode.d5.loss_cls: 0.8948, decode.d5.loss_mask: 0.8080, decode.d5.loss_dice: 1.2582, decode.d6.loss_cls: 0.9043, decode.d6.loss_mask: 0.8034, decode.d6.loss_dice: 1.2609, decode.d7.loss_cls: 0.8959, decode.d7.loss_mask: 0.8058, decode.d7.loss_dice: 1.2582, decode.d8.loss_cls: 0.8931, decode.d8.loss_mask: 0.8011, decode.d8.loss_dice: 1.2586, loss: 32.2607 2022-09-12 14:06:05,867 - mmseg - INFO - Iter [18700/80000] lr: 1.100e-06, eta: 1 day, 9:03:07, time: 1.866, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9143, decode.loss_mask: 0.7948, decode.loss_dice: 1.2816, decode.d0.loss_cls: 3.0667, decode.d0.loss_mask: 0.7813, decode.d0.loss_dice: 1.4862, decode.d1.loss_cls: 1.0010, decode.d1.loss_mask: 0.8071, decode.d1.loss_dice: 1.3679, decode.d2.loss_cls: 0.9329, decode.d2.loss_mask: 0.8019, decode.d2.loss_dice: 1.3136, decode.d3.loss_cls: 0.9283, decode.d3.loss_mask: 0.7972, decode.d3.loss_dice: 1.2890, decode.d4.loss_cls: 0.9260, decode.d4.loss_mask: 0.7922, decode.d4.loss_dice: 1.2884, decode.d5.loss_cls: 0.9173, decode.d5.loss_mask: 0.7899, decode.d5.loss_dice: 1.2880, decode.d6.loss_cls: 0.9118, decode.d6.loss_mask: 0.7908, decode.d6.loss_dice: 1.2794, decode.d7.loss_cls: 0.9165, decode.d7.loss_mask: 0.7888, decode.d7.loss_dice: 1.2860, decode.d8.loss_cls: 0.9077, decode.d8.loss_mask: 0.7906, decode.d8.loss_dice: 1.2783, loss: 32.5154 2022-09-12 14:07:38,837 - mmseg - INFO - Iter [18750/80000] lr: 1.099e-06, eta: 1 day, 9:01:16, time: 1.859, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9116, decode.loss_mask: 0.8232, decode.loss_dice: 1.3026, decode.d0.loss_cls: 3.0473, decode.d0.loss_mask: 0.8022, decode.d0.loss_dice: 1.5111, decode.d1.loss_cls: 0.9909, decode.d1.loss_mask: 0.8461, decode.d1.loss_dice: 1.3935, decode.d2.loss_cls: 0.9272, decode.d2.loss_mask: 0.8327, decode.d2.loss_dice: 1.3413, decode.d3.loss_cls: 0.9185, decode.d3.loss_mask: 0.8264, decode.d3.loss_dice: 1.3230, decode.d4.loss_cls: 0.9137, decode.d4.loss_mask: 0.8257, decode.d4.loss_dice: 1.3160, decode.d5.loss_cls: 0.9023, decode.d5.loss_mask: 0.8239, decode.d5.loss_dice: 1.3209, decode.d6.loss_cls: 0.9001, decode.d6.loss_mask: 0.8295, decode.d6.loss_dice: 1.3118, decode.d7.loss_cls: 0.9077, decode.d7.loss_mask: 0.8295, decode.d7.loss_dice: 1.3138, decode.d8.loss_cls: 0.9100, decode.d8.loss_mask: 0.8240, decode.d8.loss_dice: 1.3073, loss: 33.0343 2022-09-12 14:09:12,843 - mmseg - INFO - Iter [18800/80000] lr: 1.098e-06, eta: 1 day, 8:59:30, time: 1.880, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8994, decode.loss_mask: 0.8167, decode.loss_dice: 1.2886, decode.d0.loss_cls: 3.0553, decode.d0.loss_mask: 0.7967, decode.d0.loss_dice: 1.4954, decode.d1.loss_cls: 0.9882, decode.d1.loss_mask: 0.8345, decode.d1.loss_dice: 1.3753, decode.d2.loss_cls: 0.9223, decode.d2.loss_mask: 0.8177, decode.d2.loss_dice: 1.3248, decode.d3.loss_cls: 0.9150, decode.d3.loss_mask: 0.8077, decode.d3.loss_dice: 1.2971, decode.d4.loss_cls: 0.9160, decode.d4.loss_mask: 0.8124, decode.d4.loss_dice: 1.2930, decode.d5.loss_cls: 0.9003, decode.d5.loss_mask: 0.8143, decode.d5.loss_dice: 1.2880, decode.d6.loss_cls: 0.8988, decode.d6.loss_mask: 0.8092, decode.d6.loss_dice: 1.2803, decode.d7.loss_cls: 0.8974, decode.d7.loss_mask: 0.8083, decode.d7.loss_dice: 1.2811, decode.d8.loss_cls: 0.9004, decode.d8.loss_mask: 0.8084, decode.d8.loss_dice: 1.2767, loss: 32.6195 2022-09-12 14:10:46,590 - mmseg - INFO - Iter [18850/80000] lr: 1.098e-06, eta: 1 day, 8:57:42, time: 1.875, data_time: 0.020, memory: 42763, decode.loss_cls: 0.9015, decode.loss_mask: 0.8264, decode.loss_dice: 1.2706, decode.d0.loss_cls: 3.0330, decode.d0.loss_mask: 0.8084, decode.d0.loss_dice: 1.4718, decode.d1.loss_cls: 0.9672, decode.d1.loss_mask: 0.8531, decode.d1.loss_dice: 1.3468, decode.d2.loss_cls: 0.9215, decode.d2.loss_mask: 0.8327, decode.d2.loss_dice: 1.3050, decode.d3.loss_cls: 0.9127, decode.d3.loss_mask: 0.8278, decode.d3.loss_dice: 1.2782, decode.d4.loss_cls: 0.8928, decode.d4.loss_mask: 0.8306, decode.d4.loss_dice: 1.2800, decode.d5.loss_cls: 0.8929, decode.d5.loss_mask: 0.8272, decode.d5.loss_dice: 1.2817, decode.d6.loss_cls: 0.8874, decode.d6.loss_mask: 0.8248, decode.d6.loss_dice: 1.2685, decode.d7.loss_cls: 0.8910, decode.d7.loss_mask: 0.8240, decode.d7.loss_dice: 1.2657, decode.d8.loss_cls: 0.8894, decode.d8.loss_mask: 0.8238, decode.d8.loss_dice: 1.2717, loss: 32.5081 2022-09-12 14:12:19,362 - mmseg - INFO - Iter [18900/80000] lr: 1.097e-06, eta: 1 day, 8:55:51, time: 1.855, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9334, decode.loss_mask: 0.8184, decode.loss_dice: 1.2867, decode.d0.loss_cls: 3.0304, decode.d0.loss_mask: 0.8112, decode.d0.loss_dice: 1.4889, decode.d1.loss_cls: 1.0064, decode.d1.loss_mask: 0.8441, decode.d1.loss_dice: 1.3633, decode.d2.loss_cls: 0.9600, decode.d2.loss_mask: 0.8286, decode.d2.loss_dice: 1.3118, decode.d3.loss_cls: 0.9515, decode.d3.loss_mask: 0.8259, decode.d3.loss_dice: 1.2921, decode.d4.loss_cls: 0.9495, decode.d4.loss_mask: 0.8219, decode.d4.loss_dice: 1.2903, decode.d5.loss_cls: 0.9364, decode.d5.loss_mask: 0.8182, decode.d5.loss_dice: 1.2878, decode.d6.loss_cls: 0.9369, decode.d6.loss_mask: 0.8168, decode.d6.loss_dice: 1.2751, decode.d7.loss_cls: 0.9347, decode.d7.loss_mask: 0.8186, decode.d7.loss_dice: 1.2827, decode.d8.loss_cls: 0.9316, decode.d8.loss_mask: 0.8202, decode.d8.loss_dice: 1.2821, loss: 32.9556 2022-09-12 14:13:52,822 - mmseg - INFO - Iter [18950/80000] lr: 1.096e-06, eta: 1 day, 8:54:03, time: 1.869, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9181, decode.loss_mask: 0.8258, decode.loss_dice: 1.2675, decode.d0.loss_cls: 3.0646, decode.d0.loss_mask: 0.8273, decode.d0.loss_dice: 1.4785, decode.d1.loss_cls: 1.0039, decode.d1.loss_mask: 0.8518, decode.d1.loss_dice: 1.3524, decode.d2.loss_cls: 0.9452, decode.d2.loss_mask: 0.8400, decode.d2.loss_dice: 1.2969, decode.d3.loss_cls: 0.9321, decode.d3.loss_mask: 0.8322, decode.d3.loss_dice: 1.2838, decode.d4.loss_cls: 0.9200, decode.d4.loss_mask: 0.8289, decode.d4.loss_dice: 1.2773, decode.d5.loss_cls: 0.9164, decode.d5.loss_mask: 0.8276, decode.d5.loss_dice: 1.2734, decode.d6.loss_cls: 0.9133, decode.d6.loss_mask: 0.8245, decode.d6.loss_dice: 1.2654, decode.d7.loss_cls: 0.9114, decode.d7.loss_mask: 0.8252, decode.d7.loss_dice: 1.2633, decode.d8.loss_cls: 0.9101, decode.d8.loss_mask: 0.8250, decode.d8.loss_dice: 1.2612, loss: 32.7634 2022-09-12 14:15:25,812 - mmseg - INFO - Saving checkpoint at 19000 iterations 2022-09-12 14:15:56,767 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 14:15:56,770 - mmseg - INFO - Iter [19000/80000] lr: 1.095e-06, eta: 1 day, 8:53:52, time: 2.475, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9332, decode.loss_mask: 0.7906, decode.loss_dice: 1.2867, decode.d0.loss_cls: 3.1266, decode.d0.loss_mask: 0.7898, decode.d0.loss_dice: 1.5048, decode.d1.loss_cls: 1.0245, decode.d1.loss_mask: 0.8173, decode.d1.loss_dice: 1.3626, decode.d2.loss_cls: 0.9669, decode.d2.loss_mask: 0.8012, decode.d2.loss_dice: 1.3211, decode.d3.loss_cls: 0.9512, decode.d3.loss_mask: 0.7959, decode.d3.loss_dice: 1.2994, decode.d4.loss_cls: 0.9453, decode.d4.loss_mask: 0.7931, decode.d4.loss_dice: 1.2916, decode.d5.loss_cls: 0.9451, decode.d5.loss_mask: 0.7926, decode.d5.loss_dice: 1.2886, decode.d6.loss_cls: 0.9350, decode.d6.loss_mask: 0.7939, decode.d6.loss_dice: 1.2902, decode.d7.loss_cls: 0.9339, decode.d7.loss_mask: 0.7943, decode.d7.loss_dice: 1.2878, decode.d8.loss_cls: 0.9315, decode.d8.loss_mask: 0.7914, decode.d8.loss_dice: 1.2886, loss: 32.8746 2022-09-12 14:17:30,525 - mmseg - INFO - Iter [19050/80000] lr: 1.094e-06, eta: 1 day, 8:52:04, time: 1.879, data_time: 0.018, memory: 42763, decode.loss_cls: 0.9161, decode.loss_mask: 0.8182, decode.loss_dice: 1.2781, decode.d0.loss_cls: 3.0270, decode.d0.loss_mask: 0.8095, decode.d0.loss_dice: 1.4750, decode.d1.loss_cls: 0.9913, decode.d1.loss_mask: 0.8425, decode.d1.loss_dice: 1.3662, decode.d2.loss_cls: 0.9325, decode.d2.loss_mask: 0.8328, decode.d2.loss_dice: 1.3192, decode.d3.loss_cls: 0.9287, decode.d3.loss_mask: 0.8182, decode.d3.loss_dice: 1.2962, decode.d4.loss_cls: 0.9160, decode.d4.loss_mask: 0.8213, decode.d4.loss_dice: 1.3026, decode.d5.loss_cls: 0.9087, decode.d5.loss_mask: 0.8198, decode.d5.loss_dice: 1.2859, decode.d6.loss_cls: 0.9107, decode.d6.loss_mask: 0.8192, decode.d6.loss_dice: 1.2894, decode.d7.loss_cls: 0.9072, decode.d7.loss_mask: 0.8193, decode.d7.loss_dice: 1.2830, decode.d8.loss_cls: 0.9077, decode.d8.loss_mask: 0.8214, decode.d8.loss_dice: 1.2765, loss: 32.7402 2022-09-12 14:19:04,116 - mmseg - INFO - Iter [19100/80000] lr: 1.093e-06, eta: 1 day, 8:50:16, time: 1.872, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8849, decode.loss_mask: 0.8238, decode.loss_dice: 1.2462, decode.d0.loss_cls: 3.0119, decode.d0.loss_mask: 0.8121, decode.d0.loss_dice: 1.4646, decode.d1.loss_cls: 0.9503, decode.d1.loss_mask: 0.8575, decode.d1.loss_dice: 1.3295, decode.d2.loss_cls: 0.8951, decode.d2.loss_mask: 0.8326, decode.d2.loss_dice: 1.2760, decode.d3.loss_cls: 0.8806, decode.d3.loss_mask: 0.8307, decode.d3.loss_dice: 1.2649, decode.d4.loss_cls: 0.8839, decode.d4.loss_mask: 0.8286, decode.d4.loss_dice: 1.2557, decode.d5.loss_cls: 0.8768, decode.d5.loss_mask: 0.8247, decode.d5.loss_dice: 1.2472, decode.d6.loss_cls: 0.8733, decode.d6.loss_mask: 0.8247, decode.d6.loss_dice: 1.2353, decode.d7.loss_cls: 0.8723, decode.d7.loss_mask: 0.8233, decode.d7.loss_dice: 1.2455, decode.d8.loss_cls: 0.8730, decode.d8.loss_mask: 0.8239, decode.d8.loss_dice: 1.2442, loss: 32.0930 2022-09-12 14:20:37,270 - mmseg - INFO - Iter [19150/80000] lr: 1.092e-06, eta: 1 day, 8:48:27, time: 1.863, data_time: 0.017, memory: 42763, decode.loss_cls: 0.8705, decode.loss_mask: 0.8111, decode.loss_dice: 1.2684, decode.d0.loss_cls: 2.9861, decode.d0.loss_mask: 0.7890, decode.d0.loss_dice: 1.4716, decode.d1.loss_cls: 0.9525, decode.d1.loss_mask: 0.8245, decode.d1.loss_dice: 1.3652, decode.d2.loss_cls: 0.8935, decode.d2.loss_mask: 0.8097, decode.d2.loss_dice: 1.3101, decode.d3.loss_cls: 0.8762, decode.d3.loss_mask: 0.8113, decode.d3.loss_dice: 1.2881, decode.d4.loss_cls: 0.8792, decode.d4.loss_mask: 0.8026, decode.d4.loss_dice: 1.2811, decode.d5.loss_cls: 0.8683, decode.d5.loss_mask: 0.8009, decode.d5.loss_dice: 1.2771, decode.d6.loss_cls: 0.8560, decode.d6.loss_mask: 0.7986, decode.d6.loss_dice: 1.2650, decode.d7.loss_cls: 0.8631, decode.d7.loss_mask: 0.7986, decode.d7.loss_dice: 1.2680, decode.d8.loss_cls: 0.8618, decode.d8.loss_mask: 0.8016, decode.d8.loss_dice: 1.2713, loss: 32.0213 2022-09-12 14:22:11,368 - mmseg - INFO - Iter [19200/80000] lr: 1.091e-06, eta: 1 day, 8:46:40, time: 1.882, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9435, decode.loss_mask: 0.8541, decode.loss_dice: 1.3080, decode.d0.loss_cls: 3.1001, decode.d0.loss_mask: 0.8272, decode.d0.loss_dice: 1.5200, decode.d1.loss_cls: 1.0230, decode.d1.loss_mask: 0.8737, decode.d1.loss_dice: 1.3872, decode.d2.loss_cls: 0.9672, decode.d2.loss_mask: 0.8569, decode.d2.loss_dice: 1.3474, decode.d3.loss_cls: 0.9559, decode.d3.loss_mask: 0.8491, decode.d3.loss_dice: 1.3166, decode.d4.loss_cls: 0.9527, decode.d4.loss_mask: 0.8462, decode.d4.loss_dice: 1.3188, decode.d5.loss_cls: 0.9539, decode.d5.loss_mask: 0.8435, decode.d5.loss_dice: 1.3118, decode.d6.loss_cls: 0.9414, decode.d6.loss_mask: 0.8466, decode.d6.loss_dice: 1.3067, decode.d7.loss_cls: 0.9472, decode.d7.loss_mask: 0.8458, decode.d7.loss_dice: 1.3030, decode.d8.loss_cls: 0.9389, decode.d8.loss_mask: 0.8522, decode.d8.loss_dice: 1.3039, loss: 33.6423 2022-09-12 14:23:45,729 - mmseg - INFO - Iter [19250/80000] lr: 1.090e-06, eta: 1 day, 8:44:55, time: 1.887, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9102, decode.loss_mask: 0.8017, decode.loss_dice: 1.3045, decode.d0.loss_cls: 2.9971, decode.d0.loss_mask: 0.7961, decode.d0.loss_dice: 1.5219, decode.d1.loss_cls: 0.9875, decode.d1.loss_mask: 0.8269, decode.d1.loss_dice: 1.3952, decode.d2.loss_cls: 0.9381, decode.d2.loss_mask: 0.8116, decode.d2.loss_dice: 1.3365, decode.d3.loss_cls: 0.9192, decode.d3.loss_mask: 0.8034, decode.d3.loss_dice: 1.3160, decode.d4.loss_cls: 0.9272, decode.d4.loss_mask: 0.7964, decode.d4.loss_dice: 1.3077, decode.d5.loss_cls: 0.9113, decode.d5.loss_mask: 0.8003, decode.d5.loss_dice: 1.3069, decode.d6.loss_cls: 0.9099, decode.d6.loss_mask: 0.7938, decode.d6.loss_dice: 1.2929, decode.d7.loss_cls: 0.9075, decode.d7.loss_mask: 0.8010, decode.d7.loss_dice: 1.3038, decode.d8.loss_cls: 0.9086, decode.d8.loss_mask: 0.8017, decode.d8.loss_dice: 1.3075, loss: 32.7421 2022-09-12 14:25:18,061 - mmseg - INFO - Iter [19300/80000] lr: 1.089e-06, eta: 1 day, 8:43:03, time: 1.847, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8867, decode.loss_mask: 0.8285, decode.loss_dice: 1.2734, decode.d0.loss_cls: 3.0085, decode.d0.loss_mask: 0.8120, decode.d0.loss_dice: 1.4835, decode.d1.loss_cls: 0.9587, decode.d1.loss_mask: 0.8396, decode.d1.loss_dice: 1.3505, decode.d2.loss_cls: 0.9120, decode.d2.loss_mask: 0.8304, decode.d2.loss_dice: 1.3023, decode.d3.loss_cls: 0.8994, decode.d3.loss_mask: 0.8265, decode.d3.loss_dice: 1.2843, decode.d4.loss_cls: 0.8952, decode.d4.loss_mask: 0.8249, decode.d4.loss_dice: 1.2819, decode.d5.loss_cls: 0.8942, decode.d5.loss_mask: 0.8200, decode.d5.loss_dice: 1.2763, decode.d6.loss_cls: 0.8911, decode.d6.loss_mask: 0.8243, decode.d6.loss_dice: 1.2669, decode.d7.loss_cls: 0.8873, decode.d7.loss_mask: 0.8232, decode.d7.loss_dice: 1.2726, decode.d8.loss_cls: 0.8809, decode.d8.loss_mask: 0.8253, decode.d8.loss_dice: 1.2752, loss: 32.4356 2022-09-12 14:26:51,599 - mmseg - INFO - Iter [19350/80000] lr: 1.089e-06, eta: 1 day, 8:41:15, time: 1.871, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9617, decode.loss_mask: 0.8240, decode.loss_dice: 1.3049, decode.d0.loss_cls: 3.0876, decode.d0.loss_mask: 0.8131, decode.d0.loss_dice: 1.5389, decode.d1.loss_cls: 1.0469, decode.d1.loss_mask: 0.8482, decode.d1.loss_dice: 1.3956, decode.d2.loss_cls: 0.9833, decode.d2.loss_mask: 0.8367, decode.d2.loss_dice: 1.3449, decode.d3.loss_cls: 0.9738, decode.d3.loss_mask: 0.8256, decode.d3.loss_dice: 1.3183, decode.d4.loss_cls: 0.9696, decode.d4.loss_mask: 0.8242, decode.d4.loss_dice: 1.3110, decode.d5.loss_cls: 0.9659, decode.d5.loss_mask: 0.8251, decode.d5.loss_dice: 1.3120, decode.d6.loss_cls: 0.9649, decode.d6.loss_mask: 0.8243, decode.d6.loss_dice: 1.2982, decode.d7.loss_cls: 0.9657, decode.d7.loss_mask: 0.8251, decode.d7.loss_dice: 1.3105, decode.d8.loss_cls: 0.9653, decode.d8.loss_mask: 0.8234, decode.d8.loss_dice: 1.3062, loss: 33.5952 2022-09-12 14:28:24,600 - mmseg - INFO - Iter [19400/80000] lr: 1.088e-06, eta: 1 day, 8:39:26, time: 1.860, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8807, decode.loss_mask: 0.8129, decode.loss_dice: 1.2560, decode.d0.loss_cls: 2.9421, decode.d0.loss_mask: 0.8051, decode.d0.loss_dice: 1.4482, decode.d1.loss_cls: 0.9516, decode.d1.loss_mask: 0.8355, decode.d1.loss_dice: 1.3302, decode.d2.loss_cls: 0.9000, decode.d2.loss_mask: 0.8165, decode.d2.loss_dice: 1.2794, decode.d3.loss_cls: 0.8864, decode.d3.loss_mask: 0.8125, decode.d3.loss_dice: 1.2712, decode.d4.loss_cls: 0.8846, decode.d4.loss_mask: 0.8125, decode.d4.loss_dice: 1.2577, decode.d5.loss_cls: 0.8789, decode.d5.loss_mask: 0.8143, decode.d5.loss_dice: 1.2586, decode.d6.loss_cls: 0.8767, decode.d6.loss_mask: 0.8101, decode.d6.loss_dice: 1.2489, decode.d7.loss_cls: 0.8649, decode.d7.loss_mask: 0.8151, decode.d7.loss_dice: 1.2555, decode.d8.loss_cls: 0.8718, decode.d8.loss_mask: 0.8120, decode.d8.loss_dice: 1.2598, loss: 31.9498 2022-09-12 14:29:58,620 - mmseg - INFO - Iter [19450/80000] lr: 1.087e-06, eta: 1 day, 8:37:39, time: 1.880, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9076, decode.loss_mask: 0.8226, decode.loss_dice: 1.2783, decode.d0.loss_cls: 2.9829, decode.d0.loss_mask: 0.8086, decode.d0.loss_dice: 1.4992, decode.d1.loss_cls: 0.9802, decode.d1.loss_mask: 0.8517, decode.d1.loss_dice: 1.3800, decode.d2.loss_cls: 0.9251, decode.d2.loss_mask: 0.8368, decode.d2.loss_dice: 1.3242, decode.d3.loss_cls: 0.9059, decode.d3.loss_mask: 0.8285, decode.d3.loss_dice: 1.2996, decode.d4.loss_cls: 0.9022, decode.d4.loss_mask: 0.8274, decode.d4.loss_dice: 1.2933, decode.d5.loss_cls: 0.9038, decode.d5.loss_mask: 0.8189, decode.d5.loss_dice: 1.2923, decode.d6.loss_cls: 0.9029, decode.d6.loss_mask: 0.8206, decode.d6.loss_dice: 1.2790, decode.d7.loss_cls: 0.8994, decode.d7.loss_mask: 0.8238, decode.d7.loss_dice: 1.2826, decode.d8.loss_cls: 0.9016, decode.d8.loss_mask: 0.8272, decode.d8.loss_dice: 1.2825, loss: 32.6886 2022-09-12 14:31:32,592 - mmseg - INFO - Iter [19500/80000] lr: 1.086e-06, eta: 1 day, 8:35:53, time: 1.878, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9337, decode.loss_mask: 0.7943, decode.loss_dice: 1.2566, decode.d0.loss_cls: 3.0086, decode.d0.loss_mask: 0.7835, decode.d0.loss_dice: 1.4753, decode.d1.loss_cls: 0.9905, decode.d1.loss_mask: 0.8193, decode.d1.loss_dice: 1.3383, decode.d2.loss_cls: 0.9521, decode.d2.loss_mask: 0.8014, decode.d2.loss_dice: 1.2782, decode.d3.loss_cls: 0.9355, decode.d3.loss_mask: 0.7979, decode.d3.loss_dice: 1.2632, decode.d4.loss_cls: 0.9363, decode.d4.loss_mask: 0.7983, decode.d4.loss_dice: 1.2655, decode.d5.loss_cls: 0.9307, decode.d5.loss_mask: 0.7983, decode.d5.loss_dice: 1.2569, decode.d6.loss_cls: 0.9354, decode.d6.loss_mask: 0.7890, decode.d6.loss_dice: 1.2469, decode.d7.loss_cls: 0.9295, decode.d7.loss_mask: 0.7978, decode.d7.loss_dice: 1.2513, decode.d8.loss_cls: 0.9196, decode.d8.loss_mask: 0.7999, decode.d8.loss_dice: 1.2572, loss: 32.3410 2022-09-12 14:33:06,285 - mmseg - INFO - Iter [19550/80000] lr: 1.085e-06, eta: 1 day, 8:34:06, time: 1.875, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9162, decode.loss_mask: 0.8175, decode.loss_dice: 1.2778, decode.d0.loss_cls: 3.0827, decode.d0.loss_mask: 0.8040, decode.d0.loss_dice: 1.5004, decode.d1.loss_cls: 1.0139, decode.d1.loss_mask: 0.8339, decode.d1.loss_dice: 1.3666, decode.d2.loss_cls: 0.9536, decode.d2.loss_mask: 0.8170, decode.d2.loss_dice: 1.3094, decode.d3.loss_cls: 0.9371, decode.d3.loss_mask: 0.8128, decode.d3.loss_dice: 1.2941, decode.d4.loss_cls: 0.9320, decode.d4.loss_mask: 0.8114, decode.d4.loss_dice: 1.2918, decode.d5.loss_cls: 0.9251, decode.d5.loss_mask: 0.8079, decode.d5.loss_dice: 1.2840, decode.d6.loss_cls: 0.9230, decode.d6.loss_mask: 0.8092, decode.d6.loss_dice: 1.2702, decode.d7.loss_cls: 0.9105, decode.d7.loss_mask: 0.8151, decode.d7.loss_dice: 1.2722, decode.d8.loss_cls: 0.9073, decode.d8.loss_mask: 0.8129, decode.d8.loss_dice: 1.2798, loss: 32.7891 2022-09-12 14:34:39,290 - mmseg - INFO - Iter [19600/80000] lr: 1.084e-06, eta: 1 day, 8:32:17, time: 1.860, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9067, decode.loss_mask: 0.7996, decode.loss_dice: 1.2614, decode.d0.loss_cls: 2.9999, decode.d0.loss_mask: 0.7849, decode.d0.loss_dice: 1.4833, decode.d1.loss_cls: 0.9846, decode.d1.loss_mask: 0.8298, decode.d1.loss_dice: 1.3440, decode.d2.loss_cls: 0.9211, decode.d2.loss_mask: 0.8152, decode.d2.loss_dice: 1.2992, decode.d3.loss_cls: 0.9155, decode.d3.loss_mask: 0.8061, decode.d3.loss_dice: 1.2787, decode.d4.loss_cls: 0.9089, decode.d4.loss_mask: 0.8089, decode.d4.loss_dice: 1.2762, decode.d5.loss_cls: 0.9075, decode.d5.loss_mask: 0.7989, decode.d5.loss_dice: 1.2698, decode.d6.loss_cls: 0.9027, decode.d6.loss_mask: 0.8029, decode.d6.loss_dice: 1.2554, decode.d7.loss_cls: 0.8947, decode.d7.loss_mask: 0.8036, decode.d7.loss_dice: 1.2582, decode.d8.loss_cls: 0.9082, decode.d8.loss_mask: 0.8003, decode.d8.loss_dice: 1.2549, loss: 32.2811 2022-09-12 14:36:12,754 - mmseg - INFO - Iter [19650/80000] lr: 1.083e-06, eta: 1 day, 8:30:29, time: 1.869, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8950, decode.loss_mask: 0.8193, decode.loss_dice: 1.2591, decode.d0.loss_cls: 2.9883, decode.d0.loss_mask: 0.8047, decode.d0.loss_dice: 1.4712, decode.d1.loss_cls: 0.9716, decode.d1.loss_mask: 0.8461, decode.d1.loss_dice: 1.3447, decode.d2.loss_cls: 0.9101, decode.d2.loss_mask: 0.8259, decode.d2.loss_dice: 1.2925, decode.d3.loss_cls: 0.9067, decode.d3.loss_mask: 0.8168, decode.d3.loss_dice: 1.2794, decode.d4.loss_cls: 0.9048, decode.d4.loss_mask: 0.8170, decode.d4.loss_dice: 1.2615, decode.d5.loss_cls: 0.8836, decode.d5.loss_mask: 0.8202, decode.d5.loss_dice: 1.2730, decode.d6.loss_cls: 0.8874, decode.d6.loss_mask: 0.8163, decode.d6.loss_dice: 1.2590, decode.d7.loss_cls: 0.8883, decode.d7.loss_mask: 0.8169, decode.d7.loss_dice: 1.2568, decode.d8.loss_cls: 0.8895, decode.d8.loss_mask: 0.8173, decode.d8.loss_dice: 1.2612, loss: 32.2843 2022-09-12 14:37:46,314 - mmseg - INFO - Iter [19700/80000] lr: 1.082e-06, eta: 1 day, 8:28:41, time: 1.871, data_time: 0.014, memory: 42763, decode.loss_cls: 0.9495, decode.loss_mask: 0.8255, decode.loss_dice: 1.2864, decode.d0.loss_cls: 3.0190, decode.d0.loss_mask: 0.8294, decode.d0.loss_dice: 1.5090, decode.d1.loss_cls: 1.0333, decode.d1.loss_mask: 0.8467, decode.d1.loss_dice: 1.3709, decode.d2.loss_cls: 0.9775, decode.d2.loss_mask: 0.8379, decode.d2.loss_dice: 1.3204, decode.d3.loss_cls: 0.9598, decode.d3.loss_mask: 0.8319, decode.d3.loss_dice: 1.3007, decode.d4.loss_cls: 0.9611, decode.d4.loss_mask: 0.8318, decode.d4.loss_dice: 1.2969, decode.d5.loss_cls: 0.9461, decode.d5.loss_mask: 0.8342, decode.d5.loss_dice: 1.2988, decode.d6.loss_cls: 0.9431, decode.d6.loss_mask: 0.8290, decode.d6.loss_dice: 1.2881, decode.d7.loss_cls: 0.9500, decode.d7.loss_mask: 0.8283, decode.d7.loss_dice: 1.2778, decode.d8.loss_cls: 0.9408, decode.d8.loss_mask: 0.8311, decode.d8.loss_dice: 1.2876, loss: 33.2422 2022-09-12 14:39:19,503 - mmseg - INFO - Iter [19750/80000] lr: 1.081e-06, eta: 1 day, 8:26:53, time: 1.864, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8803, decode.loss_mask: 0.8251, decode.loss_dice: 1.2812, decode.d0.loss_cls: 3.0073, decode.d0.loss_mask: 0.8149, decode.d0.loss_dice: 1.4820, decode.d1.loss_cls: 0.9552, decode.d1.loss_mask: 0.8505, decode.d1.loss_dice: 1.3607, decode.d2.loss_cls: 0.9073, decode.d2.loss_mask: 0.8314, decode.d2.loss_dice: 1.3126, decode.d3.loss_cls: 0.8887, decode.d3.loss_mask: 0.8285, decode.d3.loss_dice: 1.2904, decode.d4.loss_cls: 0.8881, decode.d4.loss_mask: 0.8237, decode.d4.loss_dice: 1.2839, decode.d5.loss_cls: 0.8832, decode.d5.loss_mask: 0.8217, decode.d5.loss_dice: 1.2836, decode.d6.loss_cls: 0.8755, decode.d6.loss_mask: 0.8214, decode.d6.loss_dice: 1.2732, decode.d7.loss_cls: 0.8784, decode.d7.loss_mask: 0.8221, decode.d7.loss_dice: 1.2701, decode.d8.loss_cls: 0.8825, decode.d8.loss_mask: 0.8215, decode.d8.loss_dice: 1.2679, loss: 32.4131 2022-09-12 14:40:52,704 - mmseg - INFO - Iter [19800/80000] lr: 1.080e-06, eta: 1 day, 8:25:05, time: 1.864, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9025, decode.loss_mask: 0.8097, decode.loss_dice: 1.2723, decode.d0.loss_cls: 2.9970, decode.d0.loss_mask: 0.8022, decode.d0.loss_dice: 1.4753, decode.d1.loss_cls: 0.9947, decode.d1.loss_mask: 0.8298, decode.d1.loss_dice: 1.3602, decode.d2.loss_cls: 0.9308, decode.d2.loss_mask: 0.8161, decode.d2.loss_dice: 1.3076, decode.d3.loss_cls: 0.9189, decode.d3.loss_mask: 0.8145, decode.d3.loss_dice: 1.2953, decode.d4.loss_cls: 0.9213, decode.d4.loss_mask: 0.8142, decode.d4.loss_dice: 1.2803, decode.d5.loss_cls: 0.9069, decode.d5.loss_mask: 0.8122, decode.d5.loss_dice: 1.2810, decode.d6.loss_cls: 0.9058, decode.d6.loss_mask: 0.8096, decode.d6.loss_dice: 1.2734, decode.d7.loss_cls: 0.9044, decode.d7.loss_mask: 0.8122, decode.d7.loss_dice: 1.2743, decode.d8.loss_cls: 0.8971, decode.d8.loss_mask: 0.8167, decode.d8.loss_dice: 1.2746, loss: 32.5110 2022-09-12 14:42:26,237 - mmseg - INFO - Iter [19850/80000] lr: 1.080e-06, eta: 1 day, 8:23:17, time: 1.871, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9037, decode.loss_mask: 0.8027, decode.loss_dice: 1.2464, decode.d0.loss_cls: 2.9705, decode.d0.loss_mask: 0.7991, decode.d0.loss_dice: 1.4497, decode.d1.loss_cls: 0.9844, decode.d1.loss_mask: 0.8330, decode.d1.loss_dice: 1.3457, decode.d2.loss_cls: 0.9142, decode.d2.loss_mask: 0.8232, decode.d2.loss_dice: 1.2920, decode.d3.loss_cls: 0.9150, decode.d3.loss_mask: 0.8110, decode.d3.loss_dice: 1.2664, decode.d4.loss_cls: 0.9075, decode.d4.loss_mask: 0.8092, decode.d4.loss_dice: 1.2649, decode.d5.loss_cls: 0.8997, decode.d5.loss_mask: 0.8081, decode.d5.loss_dice: 1.2524, decode.d6.loss_cls: 0.8980, decode.d6.loss_mask: 0.8013, decode.d6.loss_dice: 1.2407, decode.d7.loss_cls: 0.8967, decode.d7.loss_mask: 0.8026, decode.d7.loss_dice: 1.2551, decode.d8.loss_cls: 0.8980, decode.d8.loss_mask: 0.8016, decode.d8.loss_dice: 1.2513, loss: 32.1440 2022-09-12 14:43:59,540 - mmseg - INFO - Iter [19900/80000] lr: 1.079e-06, eta: 1 day, 8:21:30, time: 1.866, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9176, decode.loss_mask: 0.8099, decode.loss_dice: 1.2265, decode.d0.loss_cls: 3.0242, decode.d0.loss_mask: 0.8060, decode.d0.loss_dice: 1.4567, decode.d1.loss_cls: 0.9999, decode.d1.loss_mask: 0.8268, decode.d1.loss_dice: 1.3205, decode.d2.loss_cls: 0.9333, decode.d2.loss_mask: 0.8171, decode.d2.loss_dice: 1.2673, decode.d3.loss_cls: 0.9226, decode.d3.loss_mask: 0.8114, decode.d3.loss_dice: 1.2442, decode.d4.loss_cls: 0.9185, decode.d4.loss_mask: 0.8051, decode.d4.loss_dice: 1.2458, decode.d5.loss_cls: 0.9101, decode.d5.loss_mask: 0.8023, decode.d5.loss_dice: 1.2462, decode.d6.loss_cls: 0.9142, decode.d6.loss_mask: 0.7997, decode.d6.loss_dice: 1.2285, decode.d7.loss_cls: 0.9095, decode.d7.loss_mask: 0.8027, decode.d7.loss_dice: 1.2255, decode.d8.loss_cls: 0.9106, decode.d8.loss_mask: 0.8083, decode.d8.loss_dice: 1.2284, loss: 32.1395 2022-09-12 14:45:32,726 - mmseg - INFO - Iter [19950/80000] lr: 1.078e-06, eta: 1 day, 8:19:41, time: 1.864, data_time: 0.017, memory: 42763, decode.loss_cls: 0.9312, decode.loss_mask: 0.8234, decode.loss_dice: 1.2819, decode.d0.loss_cls: 3.0099, decode.d0.loss_mask: 0.8081, decode.d0.loss_dice: 1.4824, decode.d1.loss_cls: 1.0088, decode.d1.loss_mask: 0.8362, decode.d1.loss_dice: 1.3580, decode.d2.loss_cls: 0.9472, decode.d2.loss_mask: 0.8316, decode.d2.loss_dice: 1.3092, decode.d3.loss_cls: 0.9401, decode.d3.loss_mask: 0.8262, decode.d3.loss_dice: 1.2919, decode.d4.loss_cls: 0.9321, decode.d4.loss_mask: 0.8241, decode.d4.loss_dice: 1.2926, decode.d5.loss_cls: 0.9245, decode.d5.loss_mask: 0.8234, decode.d5.loss_dice: 1.2823, decode.d6.loss_cls: 0.9248, decode.d6.loss_mask: 0.8187, decode.d6.loss_dice: 1.2752, decode.d7.loss_cls: 0.9304, decode.d7.loss_mask: 0.8164, decode.d7.loss_dice: 1.2752, decode.d8.loss_cls: 0.9250, decode.d8.loss_mask: 0.8216, decode.d8.loss_dice: 1.2775, loss: 32.8300 2022-09-12 14:47:05,394 - mmseg - INFO - Saving checkpoint at 20000 iterations 2022-09-12 14:47:34,928 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 14:47:34,931 - mmseg - INFO - Iter [20000/80000] lr: 1.077e-06, eta: 1 day, 8:19:20, time: 2.442, data_time: 0.017, memory: 42763, decode.loss_cls: 0.8956, decode.loss_mask: 0.7889, decode.loss_dice: 1.2824, decode.d0.loss_cls: 3.0170, decode.d0.loss_mask: 0.7909, decode.d0.loss_dice: 1.4814, decode.d1.loss_cls: 0.9853, decode.d1.loss_mask: 0.8139, decode.d1.loss_dice: 1.3614, decode.d2.loss_cls: 0.9141, decode.d2.loss_mask: 0.8006, decode.d2.loss_dice: 1.3003, decode.d3.loss_cls: 0.9026, decode.d3.loss_mask: 0.7971, decode.d3.loss_dice: 1.2903, decode.d4.loss_cls: 0.8990, decode.d4.loss_mask: 0.7968, decode.d4.loss_dice: 1.2991, decode.d5.loss_cls: 0.8888, decode.d5.loss_mask: 0.7902, decode.d5.loss_dice: 1.2806, decode.d6.loss_cls: 0.8901, decode.d6.loss_mask: 0.7890, decode.d6.loss_dice: 1.2766, decode.d7.loss_cls: 0.8890, decode.d7.loss_mask: 0.7883, decode.d7.loss_dice: 1.2812, decode.d8.loss_cls: 0.8923, decode.d8.loss_mask: 0.7899, decode.d8.loss_dice: 1.2861, loss: 32.2590 2022-09-12 14:49:08,414 - mmseg - INFO - Iter [20050/80000] lr: 1.076e-06, eta: 1 day, 8:17:33, time: 1.872, data_time: 0.017, memory: 42763, decode.loss_cls: 0.8957, decode.loss_mask: 0.8158, decode.loss_dice: 1.2408, decode.d0.loss_cls: 2.9688, decode.d0.loss_mask: 0.8094, decode.d0.loss_dice: 1.4563, decode.d1.loss_cls: 0.9771, decode.d1.loss_mask: 0.8410, decode.d1.loss_dice: 1.3290, decode.d2.loss_cls: 0.9153, decode.d2.loss_mask: 0.8303, decode.d2.loss_dice: 1.2790, decode.d3.loss_cls: 0.9063, decode.d3.loss_mask: 0.8223, decode.d3.loss_dice: 1.2608, decode.d4.loss_cls: 0.9080, decode.d4.loss_mask: 0.8180, decode.d4.loss_dice: 1.2669, decode.d5.loss_cls: 0.8936, decode.d5.loss_mask: 0.8160, decode.d5.loss_dice: 1.2586, decode.d6.loss_cls: 0.8933, decode.d6.loss_mask: 0.8136, decode.d6.loss_dice: 1.2406, decode.d7.loss_cls: 0.8920, decode.d7.loss_mask: 0.8182, decode.d7.loss_dice: 1.2523, decode.d8.loss_cls: 0.8945, decode.d8.loss_mask: 0.8174, decode.d8.loss_dice: 1.2460, loss: 32.1770 2022-09-12 14:50:40,806 - mmseg - INFO - Iter [20100/80000] lr: 1.075e-06, eta: 1 day, 8:15:43, time: 1.848, data_time: 0.017, memory: 42763, decode.loss_cls: 0.8639, decode.loss_mask: 0.8130, decode.loss_dice: 1.2718, decode.d0.loss_cls: 2.9293, decode.d0.loss_mask: 0.8103, decode.d0.loss_dice: 1.4659, decode.d1.loss_cls: 0.9469, decode.d1.loss_mask: 0.8453, decode.d1.loss_dice: 1.3558, decode.d2.loss_cls: 0.8912, decode.d2.loss_mask: 0.8259, decode.d2.loss_dice: 1.3059, decode.d3.loss_cls: 0.8799, decode.d3.loss_mask: 0.8177, decode.d3.loss_dice: 1.2837, decode.d4.loss_cls: 0.8848, decode.d4.loss_mask: 0.8184, decode.d4.loss_dice: 1.2844, decode.d5.loss_cls: 0.8761, decode.d5.loss_mask: 0.8130, decode.d5.loss_dice: 1.2788, decode.d6.loss_cls: 0.8711, decode.d6.loss_mask: 0.8121, decode.d6.loss_dice: 1.2747, decode.d7.loss_cls: 0.8592, decode.d7.loss_mask: 0.8189, decode.d7.loss_dice: 1.2726, decode.d8.loss_cls: 0.8629, decode.d8.loss_mask: 0.8162, decode.d8.loss_dice: 1.2738, loss: 32.1236 2022-09-12 14:52:13,068 - mmseg - INFO - Iter [20150/80000] lr: 1.074e-06, eta: 1 day, 8:13:52, time: 1.845, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9093, decode.loss_mask: 0.8301, decode.loss_dice: 1.2763, decode.d0.loss_cls: 2.9722, decode.d0.loss_mask: 0.8138, decode.d0.loss_dice: 1.4816, decode.d1.loss_cls: 0.9692, decode.d1.loss_mask: 0.8601, decode.d1.loss_dice: 1.3577, decode.d2.loss_cls: 0.9180, decode.d2.loss_mask: 0.8412, decode.d2.loss_dice: 1.3053, decode.d3.loss_cls: 0.9135, decode.d3.loss_mask: 0.8382, decode.d3.loss_dice: 1.2896, decode.d4.loss_cls: 0.9132, decode.d4.loss_mask: 0.8328, decode.d4.loss_dice: 1.3047, decode.d5.loss_cls: 0.9027, decode.d5.loss_mask: 0.8326, decode.d5.loss_dice: 1.2833, decode.d6.loss_cls: 0.9000, decode.d6.loss_mask: 0.8310, decode.d6.loss_dice: 1.2745, decode.d7.loss_cls: 0.8991, decode.d7.loss_mask: 0.8349, decode.d7.loss_dice: 1.2777, decode.d8.loss_cls: 0.9016, decode.d8.loss_mask: 0.8318, decode.d8.loss_dice: 1.2737, loss: 32.6693 2022-09-12 14:53:45,936 - mmseg - INFO - Iter [20200/80000] lr: 1.073e-06, eta: 1 day, 8:12:03, time: 1.857, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9069, decode.loss_mask: 0.8065, decode.loss_dice: 1.3002, decode.d0.loss_cls: 3.0258, decode.d0.loss_mask: 0.8004, decode.d0.loss_dice: 1.4965, decode.d1.loss_cls: 0.9891, decode.d1.loss_mask: 0.8352, decode.d1.loss_dice: 1.3781, decode.d2.loss_cls: 0.9378, decode.d2.loss_mask: 0.8180, decode.d2.loss_dice: 1.3333, decode.d3.loss_cls: 0.9290, decode.d3.loss_mask: 0.8101, decode.d3.loss_dice: 1.3168, decode.d4.loss_cls: 0.9246, decode.d4.loss_mask: 0.8102, decode.d4.loss_dice: 1.3124, decode.d5.loss_cls: 0.9173, decode.d5.loss_mask: 0.8096, decode.d5.loss_dice: 1.3076, decode.d6.loss_cls: 0.9142, decode.d6.loss_mask: 0.8055, decode.d6.loss_dice: 1.2928, decode.d7.loss_cls: 0.9105, decode.d7.loss_mask: 0.8033, decode.d7.loss_dice: 1.2970, decode.d8.loss_cls: 0.9090, decode.d8.loss_mask: 0.8052, decode.d8.loss_dice: 1.2956, loss: 32.7984 2022-09-12 14:55:19,603 - mmseg - INFO - Iter [20250/80000] lr: 1.072e-06, eta: 1 day, 8:10:16, time: 1.873, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8539, decode.loss_mask: 0.8206, decode.loss_dice: 1.2398, decode.d0.loss_cls: 2.8784, decode.d0.loss_mask: 0.8003, decode.d0.loss_dice: 1.4411, decode.d1.loss_cls: 0.9271, decode.d1.loss_mask: 0.8464, decode.d1.loss_dice: 1.3191, decode.d2.loss_cls: 0.8693, decode.d2.loss_mask: 0.8343, decode.d2.loss_dice: 1.2719, decode.d3.loss_cls: 0.8591, decode.d3.loss_mask: 0.8279, decode.d3.loss_dice: 1.2561, decode.d4.loss_cls: 0.8565, decode.d4.loss_mask: 0.8316, decode.d4.loss_dice: 1.2568, decode.d5.loss_cls: 0.8517, decode.d5.loss_mask: 0.8272, decode.d5.loss_dice: 1.2541, decode.d6.loss_cls: 0.8494, decode.d6.loss_mask: 0.8188, decode.d6.loss_dice: 1.2422, decode.d7.loss_cls: 0.8472, decode.d7.loss_mask: 0.8174, decode.d7.loss_dice: 1.2417, decode.d8.loss_cls: 0.8495, decode.d8.loss_mask: 0.8162, decode.d8.loss_dice: 1.2390, loss: 31.6447 2022-09-12 14:56:54,275 - mmseg - INFO - Iter [20300/80000] lr: 1.071e-06, eta: 1 day, 8:08:33, time: 1.894, data_time: 0.017, memory: 42763, decode.loss_cls: 0.8960, decode.loss_mask: 0.8254, decode.loss_dice: 1.2661, decode.d0.loss_cls: 2.9740, decode.d0.loss_mask: 0.8051, decode.d0.loss_dice: 1.4695, decode.d1.loss_cls: 0.9617, decode.d1.loss_mask: 0.8528, decode.d1.loss_dice: 1.3588, decode.d2.loss_cls: 0.9193, decode.d2.loss_mask: 0.8341, decode.d2.loss_dice: 1.3120, decode.d3.loss_cls: 0.9042, decode.d3.loss_mask: 0.8291, decode.d3.loss_dice: 1.2802, decode.d4.loss_cls: 0.9084, decode.d4.loss_mask: 0.8250, decode.d4.loss_dice: 1.2770, decode.d5.loss_cls: 0.9005, decode.d5.loss_mask: 0.8256, decode.d5.loss_dice: 1.2656, decode.d6.loss_cls: 0.8958, decode.d6.loss_mask: 0.8210, decode.d6.loss_dice: 1.2580, decode.d7.loss_cls: 0.8920, decode.d7.loss_mask: 0.8183, decode.d7.loss_dice: 1.2627, decode.d8.loss_cls: 0.8935, decode.d8.loss_mask: 0.8234, decode.d8.loss_dice: 1.2646, loss: 32.4196 2022-09-12 14:58:28,063 - mmseg - INFO - Iter [20350/80000] lr: 1.071e-06, eta: 1 day, 8:06:47, time: 1.876, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9075, decode.loss_mask: 0.8387, decode.loss_dice: 1.2789, decode.d0.loss_cls: 2.9544, decode.d0.loss_mask: 0.8267, decode.d0.loss_dice: 1.4785, decode.d1.loss_cls: 0.9769, decode.d1.loss_mask: 0.8649, decode.d1.loss_dice: 1.3533, decode.d2.loss_cls: 0.9307, decode.d2.loss_mask: 0.8485, decode.d2.loss_dice: 1.3098, decode.d3.loss_cls: 0.9160, decode.d3.loss_mask: 0.8479, decode.d3.loss_dice: 1.2998, decode.d4.loss_cls: 0.9158, decode.d4.loss_mask: 0.8408, decode.d4.loss_dice: 1.2941, decode.d5.loss_cls: 0.9168, decode.d5.loss_mask: 0.8366, decode.d5.loss_dice: 1.2818, decode.d6.loss_cls: 0.9105, decode.d6.loss_mask: 0.8341, decode.d6.loss_dice: 1.2741, decode.d7.loss_cls: 0.9071, decode.d7.loss_mask: 0.8382, decode.d7.loss_dice: 1.2740, decode.d8.loss_cls: 0.9110, decode.d8.loss_mask: 0.8389, decode.d8.loss_dice: 1.2681, loss: 32.7746 2022-09-12 15:00:01,204 - mmseg - INFO - Iter [20400/80000] lr: 1.070e-06, eta: 1 day, 8:04:59, time: 1.863, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8574, decode.loss_mask: 0.7769, decode.loss_dice: 1.2471, decode.d0.loss_cls: 2.9472, decode.d0.loss_mask: 0.7689, decode.d0.loss_dice: 1.4607, decode.d1.loss_cls: 0.9398, decode.d1.loss_mask: 0.8022, decode.d1.loss_dice: 1.3416, decode.d2.loss_cls: 0.8853, decode.d2.loss_mask: 0.7864, decode.d2.loss_dice: 1.2880, decode.d3.loss_cls: 0.8744, decode.d3.loss_mask: 0.7832, decode.d3.loss_dice: 1.2731, decode.d4.loss_cls: 0.8748, decode.d4.loss_mask: 0.7783, decode.d4.loss_dice: 1.2629, decode.d5.loss_cls: 0.8604, decode.d5.loss_mask: 0.7745, decode.d5.loss_dice: 1.2649, decode.d6.loss_cls: 0.8617, decode.d6.loss_mask: 0.7711, decode.d6.loss_dice: 1.2497, decode.d7.loss_cls: 0.8604, decode.d7.loss_mask: 0.7749, decode.d7.loss_dice: 1.2507, decode.d8.loss_cls: 0.8518, decode.d8.loss_mask: 0.7711, decode.d8.loss_dice: 1.2454, loss: 31.4847 2022-09-12 15:01:34,337 - mmseg - INFO - Iter [20450/80000] lr: 1.069e-06, eta: 1 day, 8:03:11, time: 1.863, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9233, decode.loss_mask: 0.7959, decode.loss_dice: 1.2526, decode.d0.loss_cls: 2.9859, decode.d0.loss_mask: 0.7861, decode.d0.loss_dice: 1.4568, decode.d1.loss_cls: 0.9972, decode.d1.loss_mask: 0.8217, decode.d1.loss_dice: 1.3487, decode.d2.loss_cls: 0.9460, decode.d2.loss_mask: 0.8066, decode.d2.loss_dice: 1.2868, decode.d3.loss_cls: 0.9371, decode.d3.loss_mask: 0.7983, decode.d3.loss_dice: 1.2631, decode.d4.loss_cls: 0.9416, decode.d4.loss_mask: 0.7974, decode.d4.loss_dice: 1.2653, decode.d5.loss_cls: 0.9313, decode.d5.loss_mask: 0.7947, decode.d5.loss_dice: 1.2569, decode.d6.loss_cls: 0.9273, decode.d6.loss_mask: 0.7971, decode.d6.loss_dice: 1.2485, decode.d7.loss_cls: 0.9210, decode.d7.loss_mask: 0.7983, decode.d7.loss_dice: 1.2499, decode.d8.loss_cls: 0.9227, decode.d8.loss_mask: 0.7983, decode.d8.loss_dice: 1.2526, loss: 32.3093 2022-09-12 15:03:07,531 - mmseg - INFO - Iter [20500/80000] lr: 1.068e-06, eta: 1 day, 8:01:23, time: 1.864, data_time: 0.017, memory: 42763, decode.loss_cls: 0.9189, decode.loss_mask: 0.8004, decode.loss_dice: 1.2700, decode.d0.loss_cls: 2.9609, decode.d0.loss_mask: 0.7908, decode.d0.loss_dice: 1.4767, decode.d1.loss_cls: 0.9996, decode.d1.loss_mask: 0.8338, decode.d1.loss_dice: 1.3412, decode.d2.loss_cls: 0.9321, decode.d2.loss_mask: 0.8180, decode.d2.loss_dice: 1.3011, decode.d3.loss_cls: 0.9224, decode.d3.loss_mask: 0.8119, decode.d3.loss_dice: 1.2804, decode.d4.loss_cls: 0.9187, decode.d4.loss_mask: 0.8081, decode.d4.loss_dice: 1.2763, decode.d5.loss_cls: 0.9149, decode.d5.loss_mask: 0.8067, decode.d5.loss_dice: 1.2671, decode.d6.loss_cls: 0.9233, decode.d6.loss_mask: 0.8022, decode.d6.loss_dice: 1.2627, decode.d7.loss_cls: 0.9185, decode.d7.loss_mask: 0.8006, decode.d7.loss_dice: 1.2644, decode.d8.loss_cls: 0.9147, decode.d8.loss_mask: 0.7993, decode.d8.loss_dice: 1.2727, loss: 32.4086 2022-09-12 15:04:40,303 - mmseg - INFO - Iter [20550/80000] lr: 1.067e-06, eta: 1 day, 7:59:34, time: 1.855, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8843, decode.loss_mask: 0.7957, decode.loss_dice: 1.2679, decode.d0.loss_cls: 2.9455, decode.d0.loss_mask: 0.7841, decode.d0.loss_dice: 1.4662, decode.d1.loss_cls: 0.9636, decode.d1.loss_mask: 0.8151, decode.d1.loss_dice: 1.3526, decode.d2.loss_cls: 0.9100, decode.d2.loss_mask: 0.8026, decode.d2.loss_dice: 1.2989, decode.d3.loss_cls: 0.8939, decode.d3.loss_mask: 0.7955, decode.d3.loss_dice: 1.2863, decode.d4.loss_cls: 0.8935, decode.d4.loss_mask: 0.7963, decode.d4.loss_dice: 1.2778, decode.d5.loss_cls: 0.8852, decode.d5.loss_mask: 0.7994, decode.d5.loss_dice: 1.2630, decode.d6.loss_cls: 0.8850, decode.d6.loss_mask: 0.7958, decode.d6.loss_dice: 1.2577, decode.d7.loss_cls: 0.8867, decode.d7.loss_mask: 0.7954, decode.d7.loss_dice: 1.2671, decode.d8.loss_cls: 0.8848, decode.d8.loss_mask: 0.7968, decode.d8.loss_dice: 1.2658, loss: 32.0125 2022-09-12 15:06:14,021 - mmseg - INFO - Iter [20600/80000] lr: 1.066e-06, eta: 1 day, 7:57:48, time: 1.875, data_time: 0.017, memory: 42763, decode.loss_cls: 0.8870, decode.loss_mask: 0.8338, decode.loss_dice: 1.2617, decode.d0.loss_cls: 2.9270, decode.d0.loss_mask: 0.8260, decode.d0.loss_dice: 1.4538, decode.d1.loss_cls: 0.9620, decode.d1.loss_mask: 0.8603, decode.d1.loss_dice: 1.3511, decode.d2.loss_cls: 0.9085, decode.d2.loss_mask: 0.8495, decode.d2.loss_dice: 1.2961, decode.d3.loss_cls: 0.8952, decode.d3.loss_mask: 0.8410, decode.d3.loss_dice: 1.2826, decode.d4.loss_cls: 0.8924, decode.d4.loss_mask: 0.8370, decode.d4.loss_dice: 1.2685, decode.d5.loss_cls: 0.8880, decode.d5.loss_mask: 0.8279, decode.d5.loss_dice: 1.2577, decode.d6.loss_cls: 0.8895, decode.d6.loss_mask: 0.8351, decode.d6.loss_dice: 1.2449, decode.d7.loss_cls: 0.8873, decode.d7.loss_mask: 0.8348, decode.d7.loss_dice: 1.2527, decode.d8.loss_cls: 0.8824, decode.d8.loss_mask: 0.8353, decode.d8.loss_dice: 1.2545, loss: 32.3240 2022-09-12 15:07:47,451 - mmseg - INFO - Iter [20650/80000] lr: 1.065e-06, eta: 1 day, 7:56:02, time: 1.869, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9442, decode.loss_mask: 0.8207, decode.loss_dice: 1.2700, decode.d0.loss_cls: 3.0043, decode.d0.loss_mask: 0.7987, decode.d0.loss_dice: 1.4742, decode.d1.loss_cls: 1.0170, decode.d1.loss_mask: 0.8406, decode.d1.loss_dice: 1.3433, decode.d2.loss_cls: 0.9679, decode.d2.loss_mask: 0.8234, decode.d2.loss_dice: 1.3003, decode.d3.loss_cls: 0.9514, decode.d3.loss_mask: 0.8217, decode.d3.loss_dice: 1.2762, decode.d4.loss_cls: 0.9445, decode.d4.loss_mask: 0.8225, decode.d4.loss_dice: 1.2711, decode.d5.loss_cls: 0.9451, decode.d5.loss_mask: 0.8205, decode.d5.loss_dice: 1.2657, decode.d6.loss_cls: 0.9341, decode.d6.loss_mask: 0.8197, decode.d6.loss_dice: 1.2587, decode.d7.loss_cls: 0.9391, decode.d7.loss_mask: 0.8144, decode.d7.loss_dice: 1.2663, decode.d8.loss_cls: 0.9408, decode.d8.loss_mask: 0.8185, decode.d8.loss_dice: 1.2632, loss: 32.7783 2022-09-12 15:09:20,185 - mmseg - INFO - Iter [20700/80000] lr: 1.064e-06, eta: 1 day, 7:54:13, time: 1.854, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8686, decode.loss_mask: 0.8113, decode.loss_dice: 1.2654, decode.d0.loss_cls: 2.9211, decode.d0.loss_mask: 0.8030, decode.d0.loss_dice: 1.4499, decode.d1.loss_cls: 0.9268, decode.d1.loss_mask: 0.8367, decode.d1.loss_dice: 1.3515, decode.d2.loss_cls: 0.8827, decode.d2.loss_mask: 0.8200, decode.d2.loss_dice: 1.2935, decode.d3.loss_cls: 0.8737, decode.d3.loss_mask: 0.8131, decode.d3.loss_dice: 1.2736, decode.d4.loss_cls: 0.8759, decode.d4.loss_mask: 0.8100, decode.d4.loss_dice: 1.2724, decode.d5.loss_cls: 0.8683, decode.d5.loss_mask: 0.8086, decode.d5.loss_dice: 1.2632, decode.d6.loss_cls: 0.8701, decode.d6.loss_mask: 0.8053, decode.d6.loss_dice: 1.2612, decode.d7.loss_cls: 0.8690, decode.d7.loss_mask: 0.8105, decode.d7.loss_dice: 1.2602, decode.d8.loss_cls: 0.8655, decode.d8.loss_mask: 0.8098, decode.d8.loss_dice: 1.2628, loss: 31.9039 2022-09-12 15:10:53,156 - mmseg - INFO - Iter [20750/80000] lr: 1.063e-06, eta: 1 day, 7:52:25, time: 1.860, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8977, decode.loss_mask: 0.8116, decode.loss_dice: 1.2593, decode.d0.loss_cls: 2.9611, decode.d0.loss_mask: 0.7975, decode.d0.loss_dice: 1.4767, decode.d1.loss_cls: 0.9794, decode.d1.loss_mask: 0.8445, decode.d1.loss_dice: 1.3531, decode.d2.loss_cls: 0.9259, decode.d2.loss_mask: 0.8230, decode.d2.loss_dice: 1.2986, decode.d3.loss_cls: 0.9176, decode.d3.loss_mask: 0.8153, decode.d3.loss_dice: 1.2798, decode.d4.loss_cls: 0.9136, decode.d4.loss_mask: 0.8082, decode.d4.loss_dice: 1.2681, decode.d5.loss_cls: 0.9002, decode.d5.loss_mask: 0.8143, decode.d5.loss_dice: 1.2609, decode.d6.loss_cls: 0.8968, decode.d6.loss_mask: 0.8129, decode.d6.loss_dice: 1.2566, decode.d7.loss_cls: 0.8915, decode.d7.loss_mask: 0.8100, decode.d7.loss_dice: 1.2635, decode.d8.loss_cls: 0.8885, decode.d8.loss_mask: 0.8130, decode.d8.loss_dice: 1.2651, loss: 32.3040 2022-09-12 15:12:27,394 - mmseg - INFO - Iter [20800/80000] lr: 1.063e-06, eta: 1 day, 7:50:41, time: 1.885, data_time: 0.014, memory: 42763, decode.loss_cls: 0.9067, decode.loss_mask: 0.8261, decode.loss_dice: 1.2851, decode.d0.loss_cls: 3.0018, decode.d0.loss_mask: 0.8044, decode.d0.loss_dice: 1.4993, decode.d1.loss_cls: 0.9997, decode.d1.loss_mask: 0.8513, decode.d1.loss_dice: 1.3777, decode.d2.loss_cls: 0.9380, decode.d2.loss_mask: 0.8298, decode.d2.loss_dice: 1.3220, decode.d3.loss_cls: 0.9282, decode.d3.loss_mask: 0.8266, decode.d3.loss_dice: 1.2955, decode.d4.loss_cls: 0.9253, decode.d4.loss_mask: 0.8204, decode.d4.loss_dice: 1.2919, decode.d5.loss_cls: 0.9165, decode.d5.loss_mask: 0.8198, decode.d5.loss_dice: 1.2897, decode.d6.loss_cls: 0.9111, decode.d6.loss_mask: 0.8179, decode.d6.loss_dice: 1.2763, decode.d7.loss_cls: 0.9083, decode.d7.loss_mask: 0.8229, decode.d7.loss_dice: 1.2742, decode.d8.loss_cls: 0.9001, decode.d8.loss_mask: 0.8225, decode.d8.loss_dice: 1.2818, loss: 32.7709 2022-09-12 15:14:00,491 - mmseg - INFO - Iter [20850/80000] lr: 1.062e-06, eta: 1 day, 7:48:53, time: 1.861, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9482, decode.loss_mask: 0.8151, decode.loss_dice: 1.3132, decode.d0.loss_cls: 3.0560, decode.d0.loss_mask: 0.8015, decode.d0.loss_dice: 1.5301, decode.d1.loss_cls: 1.0261, decode.d1.loss_mask: 0.8357, decode.d1.loss_dice: 1.3917, decode.d2.loss_cls: 0.9716, decode.d2.loss_mask: 0.8282, decode.d2.loss_dice: 1.3370, decode.d3.loss_cls: 0.9591, decode.d3.loss_mask: 0.8187, decode.d3.loss_dice: 1.3172, decode.d4.loss_cls: 0.9632, decode.d4.loss_mask: 0.8175, decode.d4.loss_dice: 1.3200, decode.d5.loss_cls: 0.9526, decode.d5.loss_mask: 0.8190, decode.d5.loss_dice: 1.3205, decode.d6.loss_cls: 0.9496, decode.d6.loss_mask: 0.8150, decode.d6.loss_dice: 1.3072, decode.d7.loss_cls: 0.9413, decode.d7.loss_mask: 0.8139, decode.d7.loss_dice: 1.3100, decode.d8.loss_cls: 0.9459, decode.d8.loss_mask: 0.8134, decode.d8.loss_dice: 1.3078, loss: 33.3464 2022-09-12 15:15:33,671 - mmseg - INFO - Iter [20900/80000] lr: 1.061e-06, eta: 1 day, 7:47:07, time: 1.865, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9271, decode.loss_mask: 0.8067, decode.loss_dice: 1.2762, decode.d0.loss_cls: 2.9332, decode.d0.loss_mask: 0.7961, decode.d0.loss_dice: 1.4692, decode.d1.loss_cls: 0.9762, decode.d1.loss_mask: 0.8278, decode.d1.loss_dice: 1.3525, decode.d2.loss_cls: 0.9361, decode.d2.loss_mask: 0.8122, decode.d2.loss_dice: 1.3037, decode.d3.loss_cls: 0.9308, decode.d3.loss_mask: 0.8027, decode.d3.loss_dice: 1.2837, decode.d4.loss_cls: 0.9252, decode.d4.loss_mask: 0.8006, decode.d4.loss_dice: 1.2825, decode.d5.loss_cls: 0.9230, decode.d5.loss_mask: 0.7990, decode.d5.loss_dice: 1.2792, decode.d6.loss_cls: 0.9201, decode.d6.loss_mask: 0.7957, decode.d6.loss_dice: 1.2687, decode.d7.loss_cls: 0.9211, decode.d7.loss_mask: 0.8004, decode.d7.loss_dice: 1.2731, decode.d8.loss_cls: 0.9191, decode.d8.loss_mask: 0.8000, decode.d8.loss_dice: 1.2804, loss: 32.4222 2022-09-12 15:17:06,605 - mmseg - INFO - Iter [20950/80000] lr: 1.060e-06, eta: 1 day, 7:45:19, time: 1.858, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9231, decode.loss_mask: 0.8094, decode.loss_dice: 1.2577, decode.d0.loss_cls: 2.9797, decode.d0.loss_mask: 0.8049, decode.d0.loss_dice: 1.4815, decode.d1.loss_cls: 0.9816, decode.d1.loss_mask: 0.8379, decode.d1.loss_dice: 1.3416, decode.d2.loss_cls: 0.9467, decode.d2.loss_mask: 0.8239, decode.d2.loss_dice: 1.2904, decode.d3.loss_cls: 0.9348, decode.d3.loss_mask: 0.8090, decode.d3.loss_dice: 1.2719, decode.d4.loss_cls: 0.9376, decode.d4.loss_mask: 0.8089, decode.d4.loss_dice: 1.2746, decode.d5.loss_cls: 0.9245, decode.d5.loss_mask: 0.8038, decode.d5.loss_dice: 1.2628, decode.d6.loss_cls: 0.9250, decode.d6.loss_mask: 0.8033, decode.d6.loss_dice: 1.2578, decode.d7.loss_cls: 0.9194, decode.d7.loss_mask: 0.8070, decode.d7.loss_dice: 1.2558, decode.d8.loss_cls: 0.9154, decode.d8.loss_mask: 0.8084, decode.d8.loss_dice: 1.2551, loss: 32.4534 2022-09-12 15:18:39,995 - mmseg - INFO - Saving checkpoint at 21000 iterations 2022-09-12 15:19:06,897 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 15:19:06,904 - mmseg - INFO - Iter [21000/80000] lr: 1.059e-06, eta: 1 day, 7:44:47, time: 2.398, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8707, decode.loss_mask: 0.8101, decode.loss_dice: 1.3075, decode.d0.loss_cls: 2.9505, decode.d0.loss_mask: 0.8026, decode.d0.loss_dice: 1.5033, decode.d1.loss_cls: 0.9565, decode.d1.loss_mask: 0.8339, decode.d1.loss_dice: 1.3902, decode.d2.loss_cls: 0.8900, decode.d2.loss_mask: 0.8165, decode.d2.loss_dice: 1.3377, decode.d3.loss_cls: 0.8775, decode.d3.loss_mask: 0.8164, decode.d3.loss_dice: 1.3143, decode.d4.loss_cls: 0.8760, decode.d4.loss_mask: 0.8117, decode.d4.loss_dice: 1.3085, decode.d5.loss_cls: 0.8682, decode.d5.loss_mask: 0.8126, decode.d5.loss_dice: 1.3111, decode.d6.loss_cls: 0.8714, decode.d6.loss_mask: 0.8138, decode.d6.loss_dice: 1.3030, decode.d7.loss_cls: 0.8667, decode.d7.loss_mask: 0.8146, decode.d7.loss_dice: 1.3042, decode.d8.loss_cls: 0.8651, decode.d8.loss_mask: 0.8151, decode.d8.loss_dice: 1.3075, loss: 32.4272 2022-09-12 15:20:40,090 - mmseg - INFO - Iter [21050/80000] lr: 1.058e-06, eta: 1 day, 7:43:01, time: 1.872, data_time: 0.024, memory: 42763, decode.loss_cls: 0.9108, decode.loss_mask: 0.8179, decode.loss_dice: 1.2663, decode.d0.loss_cls: 2.9101, decode.d0.loss_mask: 0.8084, decode.d0.loss_dice: 1.4585, decode.d1.loss_cls: 0.9912, decode.d1.loss_mask: 0.8380, decode.d1.loss_dice: 1.3407, decode.d2.loss_cls: 0.9358, decode.d2.loss_mask: 0.8223, decode.d2.loss_dice: 1.3016, decode.d3.loss_cls: 0.9259, decode.d3.loss_mask: 0.8186, decode.d3.loss_dice: 1.2827, decode.d4.loss_cls: 0.9176, decode.d4.loss_mask: 0.8133, decode.d4.loss_dice: 1.2872, decode.d5.loss_cls: 0.9183, decode.d5.loss_mask: 0.8162, decode.d5.loss_dice: 1.2777, decode.d6.loss_cls: 0.9024, decode.d6.loss_mask: 0.8136, decode.d6.loss_dice: 1.2630, decode.d7.loss_cls: 0.9073, decode.d7.loss_mask: 0.8124, decode.d7.loss_dice: 1.2636, decode.d8.loss_cls: 0.8997, decode.d8.loss_mask: 0.8179, decode.d8.loss_dice: 1.2627, loss: 32.4018 2022-09-12 15:22:13,864 - mmseg - INFO - Iter [21100/80000] lr: 1.057e-06, eta: 1 day, 7:41:15, time: 1.876, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9237, decode.loss_mask: 0.8164, decode.loss_dice: 1.2831, decode.d0.loss_cls: 3.0014, decode.d0.loss_mask: 0.8054, decode.d0.loss_dice: 1.4711, decode.d1.loss_cls: 1.0026, decode.d1.loss_mask: 0.8492, decode.d1.loss_dice: 1.3584, decode.d2.loss_cls: 0.9532, decode.d2.loss_mask: 0.8292, decode.d2.loss_dice: 1.3148, decode.d3.loss_cls: 0.9354, decode.d3.loss_mask: 0.8242, decode.d3.loss_dice: 1.2942, decode.d4.loss_cls: 0.9329, decode.d4.loss_mask: 0.8181, decode.d4.loss_dice: 1.2883, decode.d5.loss_cls: 0.9310, decode.d5.loss_mask: 0.8142, decode.d5.loss_dice: 1.2846, decode.d6.loss_cls: 0.9264, decode.d6.loss_mask: 0.8150, decode.d6.loss_dice: 1.2784, decode.d7.loss_cls: 0.9122, decode.d7.loss_mask: 0.8177, decode.d7.loss_dice: 1.2831, decode.d8.loss_cls: 0.9147, decode.d8.loss_mask: 0.8175, decode.d8.loss_dice: 1.2869, loss: 32.7837 2022-09-12 15:23:47,743 - mmseg - INFO - Iter [21150/80000] lr: 1.056e-06, eta: 1 day, 7:39:30, time: 1.876, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9051, decode.loss_mask: 0.8045, decode.loss_dice: 1.2723, decode.d0.loss_cls: 2.9605, decode.d0.loss_mask: 0.7926, decode.d0.loss_dice: 1.4793, decode.d1.loss_cls: 0.9894, decode.d1.loss_mask: 0.8268, decode.d1.loss_dice: 1.3626, decode.d2.loss_cls: 0.9273, decode.d2.loss_mask: 0.8134, decode.d2.loss_dice: 1.3024, decode.d3.loss_cls: 0.9205, decode.d3.loss_mask: 0.8042, decode.d3.loss_dice: 1.2788, decode.d4.loss_cls: 0.9115, decode.d4.loss_mask: 0.8064, decode.d4.loss_dice: 1.2846, decode.d5.loss_cls: 0.9068, decode.d5.loss_mask: 0.8059, decode.d5.loss_dice: 1.2703, decode.d6.loss_cls: 0.9098, decode.d6.loss_mask: 0.8067, decode.d6.loss_dice: 1.2651, decode.d7.loss_cls: 0.9076, decode.d7.loss_mask: 0.8053, decode.d7.loss_dice: 1.2662, decode.d8.loss_cls: 0.8945, decode.d8.loss_mask: 0.8069, decode.d8.loss_dice: 1.2743, loss: 32.3618 2022-09-12 15:25:21,701 - mmseg - INFO - Iter [21200/80000] lr: 1.055e-06, eta: 1 day, 7:37:46, time: 1.881, data_time: 0.018, memory: 42763, decode.loss_cls: 0.9262, decode.loss_mask: 0.8080, decode.loss_dice: 1.2805, decode.d0.loss_cls: 3.0001, decode.d0.loss_mask: 0.7896, decode.d0.loss_dice: 1.4807, decode.d1.loss_cls: 1.0008, decode.d1.loss_mask: 0.8342, decode.d1.loss_dice: 1.3555, decode.d2.loss_cls: 0.9461, decode.d2.loss_mask: 0.8173, decode.d2.loss_dice: 1.3111, decode.d3.loss_cls: 0.9393, decode.d3.loss_mask: 0.8059, decode.d3.loss_dice: 1.2942, decode.d4.loss_cls: 0.9429, decode.d4.loss_mask: 0.8038, decode.d4.loss_dice: 1.2892, decode.d5.loss_cls: 0.9344, decode.d5.loss_mask: 0.8053, decode.d5.loss_dice: 1.2858, decode.d6.loss_cls: 0.9272, decode.d6.loss_mask: 0.8062, decode.d6.loss_dice: 1.2778, decode.d7.loss_cls: 0.9259, decode.d7.loss_mask: 0.8058, decode.d7.loss_dice: 1.2742, decode.d8.loss_cls: 0.9246, decode.d8.loss_mask: 0.8051, decode.d8.loss_dice: 1.2744, loss: 32.6722 2022-09-12 15:26:54,442 - mmseg - INFO - Iter [21250/80000] lr: 1.054e-06, eta: 1 day, 7:35:57, time: 1.855, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9088, decode.loss_mask: 0.7979, decode.loss_dice: 1.2672, decode.d0.loss_cls: 3.0219, decode.d0.loss_mask: 0.7973, decode.d0.loss_dice: 1.4784, decode.d1.loss_cls: 0.9918, decode.d1.loss_mask: 0.8229, decode.d1.loss_dice: 1.3696, decode.d2.loss_cls: 0.9359, decode.d2.loss_mask: 0.8051, decode.d2.loss_dice: 1.3105, decode.d3.loss_cls: 0.9224, decode.d3.loss_mask: 0.7966, decode.d3.loss_dice: 1.2840, decode.d4.loss_cls: 0.9144, decode.d4.loss_mask: 0.8005, decode.d4.loss_dice: 1.2752, decode.d5.loss_cls: 0.9091, decode.d5.loss_mask: 0.7975, decode.d5.loss_dice: 1.2729, decode.d6.loss_cls: 0.9095, decode.d6.loss_mask: 0.7954, decode.d6.loss_dice: 1.2677, decode.d7.loss_cls: 0.9075, decode.d7.loss_mask: 0.7976, decode.d7.loss_dice: 1.2735, decode.d8.loss_cls: 0.9057, decode.d8.loss_mask: 0.7988, decode.d8.loss_dice: 1.2768, loss: 32.4125 2022-09-12 15:28:27,172 - mmseg - INFO - Iter [21300/80000] lr: 1.054e-06, eta: 1 day, 7:34:09, time: 1.855, data_time: 0.014, memory: 42763, decode.loss_cls: 0.9077, decode.loss_mask: 0.7917, decode.loss_dice: 1.2589, decode.d0.loss_cls: 2.9818, decode.d0.loss_mask: 0.7899, decode.d0.loss_dice: 1.4802, decode.d1.loss_cls: 1.0028, decode.d1.loss_mask: 0.8179, decode.d1.loss_dice: 1.3504, decode.d2.loss_cls: 0.9430, decode.d2.loss_mask: 0.8033, decode.d2.loss_dice: 1.2853, decode.d3.loss_cls: 0.9199, decode.d3.loss_mask: 0.7942, decode.d3.loss_dice: 1.2841, decode.d4.loss_cls: 0.9199, decode.d4.loss_mask: 0.7989, decode.d4.loss_dice: 1.2713, decode.d5.loss_cls: 0.9128, decode.d5.loss_mask: 0.7967, decode.d5.loss_dice: 1.2697, decode.d6.loss_cls: 0.9124, decode.d6.loss_mask: 0.7941, decode.d6.loss_dice: 1.2642, decode.d7.loss_cls: 0.9103, decode.d7.loss_mask: 0.7943, decode.d7.loss_dice: 1.2690, decode.d8.loss_cls: 0.9124, decode.d8.loss_mask: 0.7913, decode.d8.loss_dice: 1.2663, loss: 32.2948 2022-09-12 15:29:59,675 - mmseg - INFO - Iter [21350/80000] lr: 1.053e-06, eta: 1 day, 7:32:21, time: 1.850, data_time: 0.014, memory: 42763, decode.loss_cls: 0.9035, decode.loss_mask: 0.8289, decode.loss_dice: 1.2826, decode.d0.loss_cls: 2.9648, decode.d0.loss_mask: 0.8109, decode.d0.loss_dice: 1.4868, decode.d1.loss_cls: 0.9902, decode.d1.loss_mask: 0.8451, decode.d1.loss_dice: 1.3713, decode.d2.loss_cls: 0.9307, decode.d2.loss_mask: 0.8371, decode.d2.loss_dice: 1.3126, decode.d3.loss_cls: 0.9264, decode.d3.loss_mask: 0.8271, decode.d3.loss_dice: 1.2860, decode.d4.loss_cls: 0.9156, decode.d4.loss_mask: 0.8265, decode.d4.loss_dice: 1.2926, decode.d5.loss_cls: 0.9087, decode.d5.loss_mask: 0.8250, decode.d5.loss_dice: 1.2845, decode.d6.loss_cls: 0.8987, decode.d6.loss_mask: 0.8233, decode.d6.loss_dice: 1.2692, decode.d7.loss_cls: 0.9021, decode.d7.loss_mask: 0.8226, decode.d7.loss_dice: 1.2781, decode.d8.loss_cls: 0.8990, decode.d8.loss_mask: 0.8227, decode.d8.loss_dice: 1.2827, loss: 32.6553 2022-09-12 15:31:33,010 - mmseg - INFO - Iter [21400/80000] lr: 1.052e-06, eta: 1 day, 7:30:34, time: 1.867, data_time: 0.018, memory: 42763, decode.loss_cls: 0.9051, decode.loss_mask: 0.8058, decode.loss_dice: 1.3033, decode.d0.loss_cls: 2.9367, decode.d0.loss_mask: 0.7979, decode.d0.loss_dice: 1.5000, decode.d1.loss_cls: 0.9781, decode.d1.loss_mask: 0.8359, decode.d1.loss_dice: 1.3777, decode.d2.loss_cls: 0.9282, decode.d2.loss_mask: 0.8250, decode.d2.loss_dice: 1.3349, decode.d3.loss_cls: 0.9064, decode.d3.loss_mask: 0.8227, decode.d3.loss_dice: 1.3168, decode.d4.loss_cls: 0.9083, decode.d4.loss_mask: 0.8135, decode.d4.loss_dice: 1.3106, decode.d5.loss_cls: 0.9130, decode.d5.loss_mask: 0.8060, decode.d5.loss_dice: 1.3080, decode.d6.loss_cls: 0.9056, decode.d6.loss_mask: 0.8094, decode.d6.loss_dice: 1.3024, decode.d7.loss_cls: 0.9052, decode.d7.loss_mask: 0.8062, decode.d7.loss_dice: 1.2997, decode.d8.loss_cls: 0.9020, decode.d8.loss_mask: 0.8098, decode.d8.loss_dice: 1.3107, loss: 32.6847 2022-09-12 15:33:06,491 - mmseg - INFO - Iter [21450/80000] lr: 1.051e-06, eta: 1 day, 7:28:49, time: 1.870, data_time: 0.017, memory: 42763, decode.loss_cls: 0.9023, decode.loss_mask: 0.7971, decode.loss_dice: 1.2573, decode.d0.loss_cls: 2.9630, decode.d0.loss_mask: 0.7825, decode.d0.loss_dice: 1.4826, decode.d1.loss_cls: 0.9826, decode.d1.loss_mask: 0.8207, decode.d1.loss_dice: 1.3542, decode.d2.loss_cls: 0.9244, decode.d2.loss_mask: 0.8047, decode.d2.loss_dice: 1.2964, decode.d3.loss_cls: 0.9174, decode.d3.loss_mask: 0.7968, decode.d3.loss_dice: 1.2776, decode.d4.loss_cls: 0.9169, decode.d4.loss_mask: 0.7930, decode.d4.loss_dice: 1.2764, decode.d5.loss_cls: 0.9045, decode.d5.loss_mask: 0.7927, decode.d5.loss_dice: 1.2694, decode.d6.loss_cls: 0.9078, decode.d6.loss_mask: 0.7862, decode.d6.loss_dice: 1.2633, decode.d7.loss_cls: 0.9033, decode.d7.loss_mask: 0.7918, decode.d7.loss_dice: 1.2654, decode.d8.loss_cls: 0.9022, decode.d8.loss_mask: 0.7871, decode.d8.loss_dice: 1.2647, loss: 32.1842 2022-09-12 15:34:39,526 - mmseg - INFO - Iter [21500/80000] lr: 1.050e-06, eta: 1 day, 7:27:02, time: 1.861, data_time: 0.019, memory: 42763, decode.loss_cls: 0.8950, decode.loss_mask: 0.8126, decode.loss_dice: 1.2710, decode.d0.loss_cls: 2.9208, decode.d0.loss_mask: 0.8029, decode.d0.loss_dice: 1.4739, decode.d1.loss_cls: 0.9798, decode.d1.loss_mask: 0.8411, decode.d1.loss_dice: 1.3569, decode.d2.loss_cls: 0.9190, decode.d2.loss_mask: 0.8299, decode.d2.loss_dice: 1.3096, decode.d3.loss_cls: 0.9149, decode.d3.loss_mask: 0.8151, decode.d3.loss_dice: 1.2875, decode.d4.loss_cls: 0.9036, decode.d4.loss_mask: 0.8157, decode.d4.loss_dice: 1.2859, decode.d5.loss_cls: 0.8965, decode.d5.loss_mask: 0.8119, decode.d5.loss_dice: 1.2785, decode.d6.loss_cls: 0.8964, decode.d6.loss_mask: 0.8056, decode.d6.loss_dice: 1.2625, decode.d7.loss_cls: 0.8967, decode.d7.loss_mask: 0.8128, decode.d7.loss_dice: 1.2671, decode.d8.loss_cls: 0.8889, decode.d8.loss_mask: 0.8100, decode.d8.loss_dice: 1.2668, loss: 32.3286 2022-09-12 15:36:11,867 - mmseg - INFO - Iter [21550/80000] lr: 1.049e-06, eta: 1 day, 7:25:13, time: 1.847, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8910, decode.loss_mask: 0.8190, decode.loss_dice: 1.2819, decode.d0.loss_cls: 2.8783, decode.d0.loss_mask: 0.8112, decode.d0.loss_dice: 1.4775, decode.d1.loss_cls: 0.9644, decode.d1.loss_mask: 0.8340, decode.d1.loss_dice: 1.3664, decode.d2.loss_cls: 0.9096, decode.d2.loss_mask: 0.8276, decode.d2.loss_dice: 1.3166, decode.d3.loss_cls: 0.9030, decode.d3.loss_mask: 0.8237, decode.d3.loss_dice: 1.2842, decode.d4.loss_cls: 0.9011, decode.d4.loss_mask: 0.8222, decode.d4.loss_dice: 1.2868, decode.d5.loss_cls: 0.8920, decode.d5.loss_mask: 0.8210, decode.d5.loss_dice: 1.2903, decode.d6.loss_cls: 0.8897, decode.d6.loss_mask: 0.8232, decode.d6.loss_dice: 1.2708, decode.d7.loss_cls: 0.8907, decode.d7.loss_mask: 0.8203, decode.d7.loss_dice: 1.2750, decode.d8.loss_cls: 0.8917, decode.d8.loss_mask: 0.8196, decode.d8.loss_dice: 1.2812, loss: 32.3640 2022-09-12 15:37:45,129 - mmseg - INFO - Iter [21600/80000] lr: 1.048e-06, eta: 1 day, 7:23:27, time: 1.865, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8704, decode.loss_mask: 0.8257, decode.loss_dice: 1.2478, decode.d0.loss_cls: 2.8676, decode.d0.loss_mask: 0.8145, decode.d0.loss_dice: 1.4431, decode.d1.loss_cls: 0.9444, decode.d1.loss_mask: 0.8419, decode.d1.loss_dice: 1.3294, decode.d2.loss_cls: 0.8935, decode.d2.loss_mask: 0.8385, decode.d2.loss_dice: 1.2909, decode.d3.loss_cls: 0.8899, decode.d3.loss_mask: 0.8290, decode.d3.loss_dice: 1.2714, decode.d4.loss_cls: 0.8850, decode.d4.loss_mask: 0.8253, decode.d4.loss_dice: 1.2609, decode.d5.loss_cls: 0.8748, decode.d5.loss_mask: 0.8199, decode.d5.loss_dice: 1.2521, decode.d6.loss_cls: 0.8684, decode.d6.loss_mask: 0.8219, decode.d6.loss_dice: 1.2488, decode.d7.loss_cls: 0.8666, decode.d7.loss_mask: 0.8239, decode.d7.loss_dice: 1.2483, decode.d8.loss_cls: 0.8667, decode.d8.loss_mask: 0.8264, decode.d8.loss_dice: 1.2546, loss: 31.9416 2022-09-12 15:39:18,308 - mmseg - INFO - Iter [21650/80000] lr: 1.047e-06, eta: 1 day, 7:21:40, time: 1.864, data_time: 0.017, memory: 42763, decode.loss_cls: 0.9078, decode.loss_mask: 0.7923, decode.loss_dice: 1.2699, decode.d0.loss_cls: 2.9783, decode.d0.loss_mask: 0.7774, decode.d0.loss_dice: 1.4688, decode.d1.loss_cls: 0.9964, decode.d1.loss_mask: 0.8159, decode.d1.loss_dice: 1.3496, decode.d2.loss_cls: 0.9196, decode.d2.loss_mask: 0.8108, decode.d2.loss_dice: 1.2971, decode.d3.loss_cls: 0.9158, decode.d3.loss_mask: 0.7939, decode.d3.loss_dice: 1.2773, decode.d4.loss_cls: 0.9090, decode.d4.loss_mask: 0.7954, decode.d4.loss_dice: 1.2755, decode.d5.loss_cls: 0.9080, decode.d5.loss_mask: 0.7962, decode.d5.loss_dice: 1.2690, decode.d6.loss_cls: 0.9077, decode.d6.loss_mask: 0.7836, decode.d6.loss_dice: 1.2560, decode.d7.loss_cls: 0.8966, decode.d7.loss_mask: 0.7876, decode.d7.loss_dice: 1.2622, decode.d8.loss_cls: 0.9027, decode.d8.loss_mask: 0.7907, decode.d8.loss_dice: 1.2694, loss: 32.1807 2022-09-12 15:40:50,909 - mmseg - INFO - Iter [21700/80000] lr: 1.046e-06, eta: 1 day, 7:19:52, time: 1.852, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8462, decode.loss_mask: 0.7815, decode.loss_dice: 1.2155, decode.d0.loss_cls: 2.9213, decode.d0.loss_mask: 0.7789, decode.d0.loss_dice: 1.4180, decode.d1.loss_cls: 0.9084, decode.d1.loss_mask: 0.8151, decode.d1.loss_dice: 1.3025, decode.d2.loss_cls: 0.8637, decode.d2.loss_mask: 0.7842, decode.d2.loss_dice: 1.2445, decode.d3.loss_cls: 0.8543, decode.d3.loss_mask: 0.7859, decode.d3.loss_dice: 1.2262, decode.d4.loss_cls: 0.8557, decode.d4.loss_mask: 0.7782, decode.d4.loss_dice: 1.2244, decode.d5.loss_cls: 0.8390, decode.d5.loss_mask: 0.7797, decode.d5.loss_dice: 1.2263, decode.d6.loss_cls: 0.8396, decode.d6.loss_mask: 0.7805, decode.d6.loss_dice: 1.2091, decode.d7.loss_cls: 0.8407, decode.d7.loss_mask: 0.7824, decode.d7.loss_dice: 1.2215, decode.d8.loss_cls: 0.8400, decode.d8.loss_mask: 0.7804, decode.d8.loss_dice: 1.2179, loss: 30.9617 2022-09-12 15:42:24,381 - mmseg - INFO - Iter [21750/80000] lr: 1.045e-06, eta: 1 day, 7:18:07, time: 1.868, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8815, decode.loss_mask: 0.8190, decode.loss_dice: 1.2869, decode.d0.loss_cls: 2.8566, decode.d0.loss_mask: 0.8097, decode.d0.loss_dice: 1.4824, decode.d1.loss_cls: 0.9508, decode.d1.loss_mask: 0.8439, decode.d1.loss_dice: 1.3785, decode.d2.loss_cls: 0.9014, decode.d2.loss_mask: 0.8269, decode.d2.loss_dice: 1.3179, decode.d3.loss_cls: 0.8853, decode.d3.loss_mask: 0.8214, decode.d3.loss_dice: 1.3053, decode.d4.loss_cls: 0.8879, decode.d4.loss_mask: 0.8170, decode.d4.loss_dice: 1.2946, decode.d5.loss_cls: 0.8872, decode.d5.loss_mask: 0.8144, decode.d5.loss_dice: 1.2954, decode.d6.loss_cls: 0.8801, decode.d6.loss_mask: 0.8140, decode.d6.loss_dice: 1.2850, decode.d7.loss_cls: 0.8865, decode.d7.loss_mask: 0.8134, decode.d7.loss_dice: 1.2884, decode.d8.loss_cls: 0.8846, decode.d8.loss_mask: 0.8158, decode.d8.loss_dice: 1.2848, loss: 32.3167 2022-09-12 15:43:57,855 - mmseg - INFO - Iter [21800/80000] lr: 1.045e-06, eta: 1 day, 7:16:22, time: 1.871, data_time: 0.018, memory: 42763, decode.loss_cls: 0.9058, decode.loss_mask: 0.8028, decode.loss_dice: 1.2456, decode.d0.loss_cls: 2.9442, decode.d0.loss_mask: 0.7934, decode.d0.loss_dice: 1.4497, decode.d1.loss_cls: 0.9889, decode.d1.loss_mask: 0.8322, decode.d1.loss_dice: 1.3218, decode.d2.loss_cls: 0.9340, decode.d2.loss_mask: 0.8122, decode.d2.loss_dice: 1.2691, decode.d3.loss_cls: 0.9167, decode.d3.loss_mask: 0.8014, decode.d3.loss_dice: 1.2463, decode.d4.loss_cls: 0.9172, decode.d4.loss_mask: 0.8065, decode.d4.loss_dice: 1.2513, decode.d5.loss_cls: 0.9118, decode.d5.loss_mask: 0.8058, decode.d5.loss_dice: 1.2483, decode.d6.loss_cls: 0.9007, decode.d6.loss_mask: 0.8077, decode.d6.loss_dice: 1.2461, decode.d7.loss_cls: 0.9056, decode.d7.loss_mask: 0.8031, decode.d7.loss_dice: 1.2400, decode.d8.loss_cls: 0.9066, decode.d8.loss_mask: 0.8010, decode.d8.loss_dice: 1.2457, loss: 32.0616 2022-09-12 15:45:30,938 - mmseg - INFO - Iter [21850/80000] lr: 1.044e-06, eta: 1 day, 7:14:35, time: 1.862, data_time: 0.018, memory: 42763, decode.loss_cls: 0.8999, decode.loss_mask: 0.8244, decode.loss_dice: 1.2779, decode.d0.loss_cls: 2.9434, decode.d0.loss_mask: 0.8241, decode.d0.loss_dice: 1.4760, decode.d1.loss_cls: 0.9619, decode.d1.loss_mask: 0.8481, decode.d1.loss_dice: 1.3559, decode.d2.loss_cls: 0.9156, decode.d2.loss_mask: 0.8292, decode.d2.loss_dice: 1.3097, decode.d3.loss_cls: 0.9063, decode.d3.loss_mask: 0.8273, decode.d3.loss_dice: 1.2913, decode.d4.loss_cls: 0.9045, decode.d4.loss_mask: 0.8251, decode.d4.loss_dice: 1.2896, decode.d5.loss_cls: 0.9033, decode.d5.loss_mask: 0.8234, decode.d5.loss_dice: 1.2812, decode.d6.loss_cls: 0.8969, decode.d6.loss_mask: 0.8310, decode.d6.loss_dice: 1.2669, decode.d7.loss_cls: 0.9011, decode.d7.loss_mask: 0.8238, decode.d7.loss_dice: 1.2755, decode.d8.loss_cls: 0.8949, decode.d8.loss_mask: 0.8286, decode.d8.loss_dice: 1.2740, loss: 32.5108 2022-09-12 15:47:04,832 - mmseg - INFO - Iter [21900/80000] lr: 1.043e-06, eta: 1 day, 7:12:51, time: 1.878, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8978, decode.loss_mask: 0.8071, decode.loss_dice: 1.2348, decode.d0.loss_cls: 2.9165, decode.d0.loss_mask: 0.8046, decode.d0.loss_dice: 1.4452, decode.d1.loss_cls: 0.9763, decode.d1.loss_mask: 0.8282, decode.d1.loss_dice: 1.3232, decode.d2.loss_cls: 0.9172, decode.d2.loss_mask: 0.8171, decode.d2.loss_dice: 1.2647, decode.d3.loss_cls: 0.9125, decode.d3.loss_mask: 0.8136, decode.d3.loss_dice: 1.2419, decode.d4.loss_cls: 0.9040, decode.d4.loss_mask: 0.8085, decode.d4.loss_dice: 1.2405, decode.d5.loss_cls: 0.8963, decode.d5.loss_mask: 0.8102, decode.d5.loss_dice: 1.2349, decode.d6.loss_cls: 0.8940, decode.d6.loss_mask: 0.8090, decode.d6.loss_dice: 1.2292, decode.d7.loss_cls: 0.8984, decode.d7.loss_mask: 0.8091, decode.d7.loss_dice: 1.2324, decode.d8.loss_cls: 0.8861, decode.d8.loss_mask: 0.8108, decode.d8.loss_dice: 1.2374, loss: 31.9015 2022-09-12 15:48:38,552 - mmseg - INFO - Iter [21950/80000] lr: 1.042e-06, eta: 1 day, 7:11:06, time: 1.874, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9028, decode.loss_mask: 0.8241, decode.loss_dice: 1.2396, decode.d0.loss_cls: 2.8555, decode.d0.loss_mask: 0.8242, decode.d0.loss_dice: 1.4559, decode.d1.loss_cls: 0.9697, decode.d1.loss_mask: 0.8473, decode.d1.loss_dice: 1.3225, decode.d2.loss_cls: 0.9216, decode.d2.loss_mask: 0.8340, decode.d2.loss_dice: 1.2742, decode.d3.loss_cls: 0.9103, decode.d3.loss_mask: 0.8254, decode.d3.loss_dice: 1.2571, decode.d4.loss_cls: 0.9035, decode.d4.loss_mask: 0.8286, decode.d4.loss_dice: 1.2499, decode.d5.loss_cls: 0.9023, decode.d5.loss_mask: 0.8285, decode.d5.loss_dice: 1.2490, decode.d6.loss_cls: 0.8937, decode.d6.loss_mask: 0.8273, decode.d6.loss_dice: 1.2389, decode.d7.loss_cls: 0.8969, decode.d7.loss_mask: 0.8230, decode.d7.loss_dice: 1.2338, decode.d8.loss_cls: 0.8960, decode.d8.loss_mask: 0.8198, decode.d8.loss_dice: 1.2373, loss: 32.0928 2022-09-12 15:50:10,699 - mmseg - INFO - Saving checkpoint at 22000 iterations 2022-09-12 15:50:38,200 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 15:50:38,209 - mmseg - INFO - Iter [22000/80000] lr: 1.041e-06, eta: 1 day, 7:10:29, time: 2.388, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8894, decode.loss_mask: 0.8105, decode.loss_dice: 1.2775, decode.d0.loss_cls: 2.9114, decode.d0.loss_mask: 0.7956, decode.d0.loss_dice: 1.4730, decode.d1.loss_cls: 0.9738, decode.d1.loss_mask: 0.8346, decode.d1.loss_dice: 1.3657, decode.d2.loss_cls: 0.9137, decode.d2.loss_mask: 0.8179, decode.d2.loss_dice: 1.3086, decode.d3.loss_cls: 0.9006, decode.d3.loss_mask: 0.8135, decode.d3.loss_dice: 1.2938, decode.d4.loss_cls: 0.8991, decode.d4.loss_mask: 0.8118, decode.d4.loss_dice: 1.2962, decode.d5.loss_cls: 0.8907, decode.d5.loss_mask: 0.8098, decode.d5.loss_dice: 1.2817, decode.d6.loss_cls: 0.8821, decode.d6.loss_mask: 0.8088, decode.d6.loss_dice: 1.2730, decode.d7.loss_cls: 0.8799, decode.d7.loss_mask: 0.8112, decode.d7.loss_dice: 1.2768, decode.d8.loss_cls: 0.8835, decode.d8.loss_mask: 0.8098, decode.d8.loss_dice: 1.2752, loss: 32.2692 2022-09-12 15:52:12,099 - mmseg - INFO - Iter [22050/80000] lr: 1.040e-06, eta: 1 day, 7:08:46, time: 1.883, data_time: 0.021, memory: 42763, decode.loss_cls: 0.8975, decode.loss_mask: 0.8108, decode.loss_dice: 1.2907, decode.d0.loss_cls: 2.9500, decode.d0.loss_mask: 0.8128, decode.d0.loss_dice: 1.5037, decode.d1.loss_cls: 0.9789, decode.d1.loss_mask: 0.8413, decode.d1.loss_dice: 1.3707, decode.d2.loss_cls: 0.9201, decode.d2.loss_mask: 0.8262, decode.d2.loss_dice: 1.3268, decode.d3.loss_cls: 0.9126, decode.d3.loss_mask: 0.8204, decode.d3.loss_dice: 1.2991, decode.d4.loss_cls: 0.9105, decode.d4.loss_mask: 0.8158, decode.d4.loss_dice: 1.2957, decode.d5.loss_cls: 0.9015, decode.d5.loss_mask: 0.8130, decode.d5.loss_dice: 1.2973, decode.d6.loss_cls: 0.8911, decode.d6.loss_mask: 0.8061, decode.d6.loss_dice: 1.2893, decode.d7.loss_cls: 0.8915, decode.d7.loss_mask: 0.8169, decode.d7.loss_dice: 1.2947, decode.d8.loss_cls: 0.8918, decode.d8.loss_mask: 0.8095, decode.d8.loss_dice: 1.2863, loss: 32.5725 2022-09-12 15:53:45,236 - mmseg - INFO - Iter [22100/80000] lr: 1.039e-06, eta: 1 day, 7:07:00, time: 1.863, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8859, decode.loss_mask: 0.8030, decode.loss_dice: 1.2162, decode.d0.loss_cls: 2.9324, decode.d0.loss_mask: 0.7953, decode.d0.loss_dice: 1.4234, decode.d1.loss_cls: 0.9494, decode.d1.loss_mask: 0.8220, decode.d1.loss_dice: 1.3073, decode.d2.loss_cls: 0.8997, decode.d2.loss_mask: 0.8080, decode.d2.loss_dice: 1.2622, decode.d3.loss_cls: 0.8953, decode.d3.loss_mask: 0.8104, decode.d3.loss_dice: 1.2378, decode.d4.loss_cls: 0.8886, decode.d4.loss_mask: 0.8044, decode.d4.loss_dice: 1.2364, decode.d5.loss_cls: 0.8852, decode.d5.loss_mask: 0.8031, decode.d5.loss_dice: 1.2362, decode.d6.loss_cls: 0.8902, decode.d6.loss_mask: 0.7959, decode.d6.loss_dice: 1.2330, decode.d7.loss_cls: 0.8776, decode.d7.loss_mask: 0.7997, decode.d7.loss_dice: 1.2243, decode.d8.loss_cls: 0.8798, decode.d8.loss_mask: 0.7974, decode.d8.loss_dice: 1.2267, loss: 31.6268 2022-09-12 15:55:17,873 - mmseg - INFO - Iter [22150/80000] lr: 1.038e-06, eta: 1 day, 7:05:12, time: 1.853, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9068, decode.loss_mask: 0.8171, decode.loss_dice: 1.2747, decode.d0.loss_cls: 2.9574, decode.d0.loss_mask: 0.8170, decode.d0.loss_dice: 1.4630, decode.d1.loss_cls: 0.9843, decode.d1.loss_mask: 0.8332, decode.d1.loss_dice: 1.3489, decode.d2.loss_cls: 0.9227, decode.d2.loss_mask: 0.8277, decode.d2.loss_dice: 1.3146, decode.d3.loss_cls: 0.9085, decode.d3.loss_mask: 0.8295, decode.d3.loss_dice: 1.2920, decode.d4.loss_cls: 0.9079, decode.d4.loss_mask: 0.8241, decode.d4.loss_dice: 1.2887, decode.d5.loss_cls: 0.9046, decode.d5.loss_mask: 0.8173, decode.d5.loss_dice: 1.2785, decode.d6.loss_cls: 0.9072, decode.d6.loss_mask: 0.8123, decode.d6.loss_dice: 1.2686, decode.d7.loss_cls: 0.8975, decode.d7.loss_mask: 0.8140, decode.d7.loss_dice: 1.2807, decode.d8.loss_cls: 0.9031, decode.d8.loss_mask: 0.8142, decode.d8.loss_dice: 1.2763, loss: 32.4925 2022-09-12 15:56:55,039 - mmseg - INFO - Iter [22200/80000] lr: 1.037e-06, eta: 1 day, 7:03:37, time: 1.943, data_time: 0.065, memory: 42763, decode.loss_cls: 0.8848, decode.loss_mask: 0.8129, decode.loss_dice: 1.2426, decode.d0.loss_cls: 2.8797, decode.d0.loss_mask: 0.8043, decode.d0.loss_dice: 1.4419, decode.d1.loss_cls: 0.9582, decode.d1.loss_mask: 0.8443, decode.d1.loss_dice: 1.3220, decode.d2.loss_cls: 0.8974, decode.d2.loss_mask: 0.8332, decode.d2.loss_dice: 1.2818, decode.d3.loss_cls: 0.8798, decode.d3.loss_mask: 0.8316, decode.d3.loss_dice: 1.2681, decode.d4.loss_cls: 0.8853, decode.d4.loss_mask: 0.8267, decode.d4.loss_dice: 1.2634, decode.d5.loss_cls: 0.8763, decode.d5.loss_mask: 0.8211, decode.d5.loss_dice: 1.2551, decode.d6.loss_cls: 0.8785, decode.d6.loss_mask: 0.8183, decode.d6.loss_dice: 1.2490, decode.d7.loss_cls: 0.8742, decode.d7.loss_mask: 0.8239, decode.d7.loss_dice: 1.2459, decode.d8.loss_cls: 0.8724, decode.d8.loss_mask: 0.8215, decode.d8.loss_dice: 1.2477, loss: 31.9422 2022-09-12 15:58:28,047 - mmseg - INFO - Iter [22250/80000] lr: 1.036e-06, eta: 1 day, 7:01:50, time: 1.860, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8944, decode.loss_mask: 0.8006, decode.loss_dice: 1.2795, decode.d0.loss_cls: 2.9319, decode.d0.loss_mask: 0.7947, decode.d0.loss_dice: 1.4832, decode.d1.loss_cls: 0.9756, decode.d1.loss_mask: 0.8283, decode.d1.loss_dice: 1.3620, decode.d2.loss_cls: 0.9109, decode.d2.loss_mask: 0.8174, decode.d2.loss_dice: 1.3138, decode.d3.loss_cls: 0.9020, decode.d3.loss_mask: 0.8076, decode.d3.loss_dice: 1.2930, decode.d4.loss_cls: 0.8996, decode.d4.loss_mask: 0.8055, decode.d4.loss_dice: 1.2922, decode.d5.loss_cls: 0.8953, decode.d5.loss_mask: 0.8052, decode.d5.loss_dice: 1.2899, decode.d6.loss_cls: 0.8964, decode.d6.loss_mask: 0.8028, decode.d6.loss_dice: 1.2804, decode.d7.loss_cls: 0.8920, decode.d7.loss_mask: 0.8052, decode.d7.loss_dice: 1.2807, decode.d8.loss_cls: 0.8894, decode.d8.loss_mask: 0.8036, decode.d8.loss_dice: 1.2834, loss: 32.3165 2022-09-12 16:00:00,200 - mmseg - INFO - Iter [22300/80000] lr: 1.036e-06, eta: 1 day, 7:00:02, time: 1.842, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8991, decode.loss_mask: 0.7771, decode.loss_dice: 1.2294, decode.d0.loss_cls: 2.8924, decode.d0.loss_mask: 0.7708, decode.d0.loss_dice: 1.4436, decode.d1.loss_cls: 0.9726, decode.d1.loss_mask: 0.8000, decode.d1.loss_dice: 1.3253, decode.d2.loss_cls: 0.9114, decode.d2.loss_mask: 0.7908, decode.d2.loss_dice: 1.2736, decode.d3.loss_cls: 0.9074, decode.d3.loss_mask: 0.7815, decode.d3.loss_dice: 1.2558, decode.d4.loss_cls: 0.9015, decode.d4.loss_mask: 0.7845, decode.d4.loss_dice: 1.2592, decode.d5.loss_cls: 0.8943, decode.d5.loss_mask: 0.7844, decode.d5.loss_dice: 1.2385, decode.d6.loss_cls: 0.8933, decode.d6.loss_mask: 0.7794, decode.d6.loss_dice: 1.2399, decode.d7.loss_cls: 0.8960, decode.d7.loss_mask: 0.7733, decode.d7.loss_dice: 1.2332, decode.d8.loss_cls: 0.8956, decode.d8.loss_mask: 0.7783, decode.d8.loss_dice: 1.2308, loss: 31.6128 2022-09-12 16:01:32,292 - mmseg - INFO - Iter [22350/80000] lr: 1.035e-06, eta: 1 day, 6:58:13, time: 1.843, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8841, decode.loss_mask: 0.8090, decode.loss_dice: 1.2403, decode.d0.loss_cls: 2.8830, decode.d0.loss_mask: 0.8107, decode.d0.loss_dice: 1.4520, decode.d1.loss_cls: 0.9577, decode.d1.loss_mask: 0.8429, decode.d1.loss_dice: 1.3343, decode.d2.loss_cls: 0.8940, decode.d2.loss_mask: 0.8303, decode.d2.loss_dice: 1.2831, decode.d3.loss_cls: 0.8918, decode.d3.loss_mask: 0.8217, decode.d3.loss_dice: 1.2454, decode.d4.loss_cls: 0.8915, decode.d4.loss_mask: 0.8136, decode.d4.loss_dice: 1.2531, decode.d5.loss_cls: 0.8861, decode.d5.loss_mask: 0.8139, decode.d5.loss_dice: 1.2449, decode.d6.loss_cls: 0.8837, decode.d6.loss_mask: 0.8140, decode.d6.loss_dice: 1.2418, decode.d7.loss_cls: 0.8789, decode.d7.loss_mask: 0.8137, decode.d7.loss_dice: 1.2356, decode.d8.loss_cls: 0.8734, decode.d8.loss_mask: 0.8139, decode.d8.loss_dice: 1.2404, loss: 31.8790 2022-09-12 16:03:04,135 - mmseg - INFO - Iter [22400/80000] lr: 1.034e-06, eta: 1 day, 6:56:24, time: 1.837, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9067, decode.loss_mask: 0.7917, decode.loss_dice: 1.2569, decode.d0.loss_cls: 2.9508, decode.d0.loss_mask: 0.7898, decode.d0.loss_dice: 1.4697, decode.d1.loss_cls: 0.9776, decode.d1.loss_mask: 0.8241, decode.d1.loss_dice: 1.3445, decode.d2.loss_cls: 0.9186, decode.d2.loss_mask: 0.8056, decode.d2.loss_dice: 1.2875, decode.d3.loss_cls: 0.9101, decode.d3.loss_mask: 0.7980, decode.d3.loss_dice: 1.2648, decode.d4.loss_cls: 0.9077, decode.d4.loss_mask: 0.7983, decode.d4.loss_dice: 1.2732, decode.d5.loss_cls: 0.8999, decode.d5.loss_mask: 0.7948, decode.d5.loss_dice: 1.2713, decode.d6.loss_cls: 0.8938, decode.d6.loss_mask: 0.7939, decode.d6.loss_dice: 1.2553, decode.d7.loss_cls: 0.8990, decode.d7.loss_mask: 0.7909, decode.d7.loss_dice: 1.2637, decode.d8.loss_cls: 0.8955, decode.d8.loss_mask: 0.7914, decode.d8.loss_dice: 1.2589, loss: 32.0837 2022-09-12 16:04:36,208 - mmseg - INFO - Iter [22450/80000] lr: 1.033e-06, eta: 1 day, 6:54:35, time: 1.841, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8752, decode.loss_mask: 0.7863, decode.loss_dice: 1.2539, decode.d0.loss_cls: 2.9326, decode.d0.loss_mask: 0.7678, decode.d0.loss_dice: 1.4548, decode.d1.loss_cls: 0.9645, decode.d1.loss_mask: 0.8048, decode.d1.loss_dice: 1.3368, decode.d2.loss_cls: 0.9031, decode.d2.loss_mask: 0.7873, decode.d2.loss_dice: 1.2813, decode.d3.loss_cls: 0.8895, decode.d3.loss_mask: 0.7830, decode.d3.loss_dice: 1.2616, decode.d4.loss_cls: 0.8844, decode.d4.loss_mask: 0.7853, decode.d4.loss_dice: 1.2666, decode.d5.loss_cls: 0.8781, decode.d5.loss_mask: 0.7792, decode.d5.loss_dice: 1.2558, decode.d6.loss_cls: 0.8762, decode.d6.loss_mask: 0.7793, decode.d6.loss_dice: 1.2467, decode.d7.loss_cls: 0.8774, decode.d7.loss_mask: 0.7795, decode.d7.loss_dice: 1.2563, decode.d8.loss_cls: 0.8725, decode.d8.loss_mask: 0.7839, decode.d8.loss_dice: 1.2539, loss: 31.6577 2022-09-12 16:06:08,496 - mmseg - INFO - Iter [22500/80000] lr: 1.032e-06, eta: 1 day, 6:52:48, time: 1.846, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8920, decode.loss_mask: 0.8177, decode.loss_dice: 1.2735, decode.d0.loss_cls: 2.9344, decode.d0.loss_mask: 0.8056, decode.d0.loss_dice: 1.4622, decode.d1.loss_cls: 0.9678, decode.d1.loss_mask: 0.8384, decode.d1.loss_dice: 1.3508, decode.d2.loss_cls: 0.9197, decode.d2.loss_mask: 0.8285, decode.d2.loss_dice: 1.3004, decode.d3.loss_cls: 0.9106, decode.d3.loss_mask: 0.8201, decode.d3.loss_dice: 1.2872, decode.d4.loss_cls: 0.9111, decode.d4.loss_mask: 0.8191, decode.d4.loss_dice: 1.2890, decode.d5.loss_cls: 0.8975, decode.d5.loss_mask: 0.8185, decode.d5.loss_dice: 1.2795, decode.d6.loss_cls: 0.8871, decode.d6.loss_mask: 0.8233, decode.d6.loss_dice: 1.2754, decode.d7.loss_cls: 0.8872, decode.d7.loss_mask: 0.8223, decode.d7.loss_dice: 1.2716, decode.d8.loss_cls: 0.8887, decode.d8.loss_mask: 0.8175, decode.d8.loss_dice: 1.2727, loss: 32.3695 2022-09-12 16:07:40,872 - mmseg - INFO - Iter [22550/80000] lr: 1.031e-06, eta: 1 day, 6:51:00, time: 1.847, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9013, decode.loss_mask: 0.8023, decode.loss_dice: 1.2476, decode.d0.loss_cls: 2.8877, decode.d0.loss_mask: 0.7935, decode.d0.loss_dice: 1.4549, decode.d1.loss_cls: 0.9660, decode.d1.loss_mask: 0.8296, decode.d1.loss_dice: 1.3473, decode.d2.loss_cls: 0.9233, decode.d2.loss_mask: 0.8092, decode.d2.loss_dice: 1.2915, decode.d3.loss_cls: 0.9144, decode.d3.loss_mask: 0.8020, decode.d3.loss_dice: 1.2642, decode.d4.loss_cls: 0.9133, decode.d4.loss_mask: 0.7971, decode.d4.loss_dice: 1.2610, decode.d5.loss_cls: 0.9069, decode.d5.loss_mask: 0.7960, decode.d5.loss_dice: 1.2608, decode.d6.loss_cls: 0.8977, decode.d6.loss_mask: 0.7924, decode.d6.loss_dice: 1.2541, decode.d7.loss_cls: 0.8958, decode.d7.loss_mask: 0.7898, decode.d7.loss_dice: 1.2619, decode.d8.loss_cls: 0.8933, decode.d8.loss_mask: 0.7951, decode.d8.loss_dice: 1.2587, loss: 32.0087 2022-09-12 16:09:13,772 - mmseg - INFO - Iter [22600/80000] lr: 1.030e-06, eta: 1 day, 6:49:14, time: 1.858, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8783, decode.loss_mask: 0.8028, decode.loss_dice: 1.2424, decode.d0.loss_cls: 2.8982, decode.d0.loss_mask: 0.8044, decode.d0.loss_dice: 1.4449, decode.d1.loss_cls: 0.9656, decode.d1.loss_mask: 0.8275, decode.d1.loss_dice: 1.3361, decode.d2.loss_cls: 0.9085, decode.d2.loss_mask: 0.8176, decode.d2.loss_dice: 1.2755, decode.d3.loss_cls: 0.8962, decode.d3.loss_mask: 0.8103, decode.d3.loss_dice: 1.2514, decode.d4.loss_cls: 0.8925, decode.d4.loss_mask: 0.8097, decode.d4.loss_dice: 1.2563, decode.d5.loss_cls: 0.8825, decode.d5.loss_mask: 0.8053, decode.d5.loss_dice: 1.2461, decode.d6.loss_cls: 0.8863, decode.d6.loss_mask: 0.8033, decode.d6.loss_dice: 1.2315, decode.d7.loss_cls: 0.8727, decode.d7.loss_mask: 0.8074, decode.d7.loss_dice: 1.2408, decode.d8.loss_cls: 0.8758, decode.d8.loss_mask: 0.8077, decode.d8.loss_dice: 1.2375, loss: 31.8148 2022-09-12 16:10:48,416 - mmseg - INFO - Iter [22650/80000] lr: 1.029e-06, eta: 1 day, 6:47:32, time: 1.893, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9121, decode.loss_mask: 0.8093, decode.loss_dice: 1.2703, decode.d0.loss_cls: 2.9136, decode.d0.loss_mask: 0.8053, decode.d0.loss_dice: 1.4698, decode.d1.loss_cls: 0.9950, decode.d1.loss_mask: 0.8278, decode.d1.loss_dice: 1.3456, decode.d2.loss_cls: 0.9414, decode.d2.loss_mask: 0.8127, decode.d2.loss_dice: 1.3065, decode.d3.loss_cls: 0.9186, decode.d3.loss_mask: 0.8121, decode.d3.loss_dice: 1.2844, decode.d4.loss_cls: 0.9170, decode.d4.loss_mask: 0.8061, decode.d4.loss_dice: 1.2831, decode.d5.loss_cls: 0.9127, decode.d5.loss_mask: 0.8097, decode.d5.loss_dice: 1.2855, decode.d6.loss_cls: 0.9186, decode.d6.loss_mask: 0.8049, decode.d6.loss_dice: 1.2690, decode.d7.loss_cls: 0.9130, decode.d7.loss_mask: 0.8078, decode.d7.loss_dice: 1.2682, decode.d8.loss_cls: 0.9039, decode.d8.loss_mask: 0.8079, decode.d8.loss_dice: 1.2655, loss: 32.3975 2022-09-12 16:12:22,063 - mmseg - INFO - Iter [22700/80000] lr: 1.028e-06, eta: 1 day, 6:45:48, time: 1.873, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9119, decode.loss_mask: 0.7784, decode.loss_dice: 1.2581, decode.d0.loss_cls: 2.9509, decode.d0.loss_mask: 0.7795, decode.d0.loss_dice: 1.4617, decode.d1.loss_cls: 0.9894, decode.d1.loss_mask: 0.8100, decode.d1.loss_dice: 1.3341, decode.d2.loss_cls: 0.9314, decode.d2.loss_mask: 0.7970, decode.d2.loss_dice: 1.2955, decode.d3.loss_cls: 0.9281, decode.d3.loss_mask: 0.7935, decode.d3.loss_dice: 1.2664, decode.d4.loss_cls: 0.9244, decode.d4.loss_mask: 0.7870, decode.d4.loss_dice: 1.2698, decode.d5.loss_cls: 0.9186, decode.d5.loss_mask: 0.7830, decode.d5.loss_dice: 1.2607, decode.d6.loss_cls: 0.9230, decode.d6.loss_mask: 0.7782, decode.d6.loss_dice: 1.2506, decode.d7.loss_cls: 0.9187, decode.d7.loss_mask: 0.7799, decode.d7.loss_dice: 1.2525, decode.d8.loss_cls: 0.9098, decode.d8.loss_mask: 0.7777, decode.d8.loss_dice: 1.2588, loss: 32.0786 2022-09-12 16:13:55,132 - mmseg - INFO - Iter [22750/80000] lr: 1.028e-06, eta: 1 day, 6:44:02, time: 1.861, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8429, decode.loss_mask: 0.7619, decode.loss_dice: 1.2132, decode.d0.loss_cls: 2.8768, decode.d0.loss_mask: 0.7514, decode.d0.loss_dice: 1.3978, decode.d1.loss_cls: 0.9235, decode.d1.loss_mask: 0.7803, decode.d1.loss_dice: 1.2994, decode.d2.loss_cls: 0.8583, decode.d2.loss_mask: 0.7710, decode.d2.loss_dice: 1.2541, decode.d3.loss_cls: 0.8475, decode.d3.loss_mask: 0.7664, decode.d3.loss_dice: 1.2334, decode.d4.loss_cls: 0.8464, decode.d4.loss_mask: 0.7636, decode.d4.loss_dice: 1.2339, decode.d5.loss_cls: 0.8453, decode.d5.loss_mask: 0.7612, decode.d5.loss_dice: 1.2240, decode.d6.loss_cls: 0.8431, decode.d6.loss_mask: 0.7633, decode.d6.loss_dice: 1.2150, decode.d7.loss_cls: 0.8384, decode.d7.loss_mask: 0.7603, decode.d7.loss_dice: 1.2162, decode.d8.loss_cls: 0.8400, decode.d8.loss_mask: 0.7619, decode.d8.loss_dice: 1.2137, loss: 30.7041 2022-09-12 16:15:28,527 - mmseg - INFO - Iter [22800/80000] lr: 1.027e-06, eta: 1 day, 6:42:17, time: 1.868, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8933, decode.loss_mask: 0.8074, decode.loss_dice: 1.2558, decode.d0.loss_cls: 2.9112, decode.d0.loss_mask: 0.7880, decode.d0.loss_dice: 1.4518, decode.d1.loss_cls: 0.9617, decode.d1.loss_mask: 0.8326, decode.d1.loss_dice: 1.3321, decode.d2.loss_cls: 0.9105, decode.d2.loss_mask: 0.8193, decode.d2.loss_dice: 1.2950, decode.d3.loss_cls: 0.9047, decode.d3.loss_mask: 0.8130, decode.d3.loss_dice: 1.2701, decode.d4.loss_cls: 0.8956, decode.d4.loss_mask: 0.8073, decode.d4.loss_dice: 1.2734, decode.d5.loss_cls: 0.8912, decode.d5.loss_mask: 0.8081, decode.d5.loss_dice: 1.2651, decode.d6.loss_cls: 0.8938, decode.d6.loss_mask: 0.8003, decode.d6.loss_dice: 1.2527, decode.d7.loss_cls: 0.8912, decode.d7.loss_mask: 0.8072, decode.d7.loss_dice: 1.2551, decode.d8.loss_cls: 0.8880, decode.d8.loss_mask: 0.8063, decode.d8.loss_dice: 1.2577, loss: 32.0397 2022-09-12 16:17:01,039 - mmseg - INFO - Iter [22850/80000] lr: 1.026e-06, eta: 1 day, 6:40:31, time: 1.850, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8759, decode.loss_mask: 0.7935, decode.loss_dice: 1.2526, decode.d0.loss_cls: 2.8606, decode.d0.loss_mask: 0.7921, decode.d0.loss_dice: 1.4406, decode.d1.loss_cls: 0.9512, decode.d1.loss_mask: 0.8222, decode.d1.loss_dice: 1.3286, decode.d2.loss_cls: 0.9009, decode.d2.loss_mask: 0.7997, decode.d2.loss_dice: 1.2883, decode.d3.loss_cls: 0.8804, decode.d3.loss_mask: 0.8035, decode.d3.loss_dice: 1.2691, decode.d4.loss_cls: 0.8834, decode.d4.loss_mask: 0.8002, decode.d4.loss_dice: 1.2738, decode.d5.loss_cls: 0.8790, decode.d5.loss_mask: 0.7956, decode.d5.loss_dice: 1.2538, decode.d6.loss_cls: 0.8761, decode.d6.loss_mask: 0.7936, decode.d6.loss_dice: 1.2521, decode.d7.loss_cls: 0.8797, decode.d7.loss_mask: 0.7920, decode.d7.loss_dice: 1.2500, decode.d8.loss_cls: 0.8721, decode.d8.loss_mask: 0.7932, decode.d8.loss_dice: 1.2552, loss: 31.7090 2022-09-12 16:18:34,291 - mmseg - INFO - Iter [22900/80000] lr: 1.025e-06, eta: 1 day, 6:38:46, time: 1.865, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8669, decode.loss_mask: 0.8078, decode.loss_dice: 1.2234, decode.d0.loss_cls: 2.9058, decode.d0.loss_mask: 0.8046, decode.d0.loss_dice: 1.4279, decode.d1.loss_cls: 0.9488, decode.d1.loss_mask: 0.8288, decode.d1.loss_dice: 1.3148, decode.d2.loss_cls: 0.8926, decode.d2.loss_mask: 0.8135, decode.d2.loss_dice: 1.2529, decode.d3.loss_cls: 0.8787, decode.d3.loss_mask: 0.8123, decode.d3.loss_dice: 1.2399, decode.d4.loss_cls: 0.8768, decode.d4.loss_mask: 0.8113, decode.d4.loss_dice: 1.2402, decode.d5.loss_cls: 0.8670, decode.d5.loss_mask: 0.8102, decode.d5.loss_dice: 1.2260, decode.d6.loss_cls: 0.8769, decode.d6.loss_mask: 0.7990, decode.d6.loss_dice: 1.2161, decode.d7.loss_cls: 0.8654, decode.d7.loss_mask: 0.8023, decode.d7.loss_dice: 1.2213, decode.d8.loss_cls: 0.8652, decode.d8.loss_mask: 0.8048, decode.d8.loss_dice: 1.2230, loss: 31.5243 2022-09-12 16:20:06,678 - mmseg - INFO - Iter [22950/80000] lr: 1.024e-06, eta: 1 day, 6:36:58, time: 1.846, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8741, decode.loss_mask: 0.7893, decode.loss_dice: 1.2364, decode.d0.loss_cls: 2.9177, decode.d0.loss_mask: 0.7918, decode.d0.loss_dice: 1.4501, decode.d1.loss_cls: 0.9564, decode.d1.loss_mask: 0.8169, decode.d1.loss_dice: 1.3310, decode.d2.loss_cls: 0.8985, decode.d2.loss_mask: 0.7979, decode.d2.loss_dice: 1.2798, decode.d3.loss_cls: 0.8777, decode.d3.loss_mask: 0.7978, decode.d3.loss_dice: 1.2560, decode.d4.loss_cls: 0.8821, decode.d4.loss_mask: 0.7946, decode.d4.loss_dice: 1.2539, decode.d5.loss_cls: 0.8775, decode.d5.loss_mask: 0.7849, decode.d5.loss_dice: 1.2471, decode.d6.loss_cls: 0.8763, decode.d6.loss_mask: 0.7854, decode.d6.loss_dice: 1.2277, decode.d7.loss_cls: 0.8723, decode.d7.loss_mask: 0.7814, decode.d7.loss_dice: 1.2342, decode.d8.loss_cls: 0.8707, decode.d8.loss_mask: 0.7868, decode.d8.loss_dice: 1.2367, loss: 31.5828 2022-09-12 16:21:39,569 - mmseg - INFO - Saving checkpoint at 23000 iterations 2022-09-12 16:22:08,983 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 16:22:08,984 - mmseg - INFO - Iter [23000/80000] lr: 1.023e-06, eta: 1 day, 6:36:25, time: 2.446, data_time: 0.016, memory: 42763, decode.loss_cls: 0.9282, decode.loss_mask: 0.7880, decode.loss_dice: 1.2658, decode.d0.loss_cls: 2.9296, decode.d0.loss_mask: 0.7957, decode.d0.loss_dice: 1.4830, decode.d1.loss_cls: 0.9999, decode.d1.loss_mask: 0.8151, decode.d1.loss_dice: 1.3656, decode.d2.loss_cls: 0.9568, decode.d2.loss_mask: 0.8025, decode.d2.loss_dice: 1.3066, decode.d3.loss_cls: 0.9409, decode.d3.loss_mask: 0.7923, decode.d3.loss_dice: 1.2884, decode.d4.loss_cls: 0.9379, decode.d4.loss_mask: 0.7873, decode.d4.loss_dice: 1.2756, decode.d5.loss_cls: 0.9349, decode.d5.loss_mask: 0.7884, decode.d5.loss_dice: 1.2747, decode.d6.loss_cls: 0.9293, decode.d6.loss_mask: 0.7864, decode.d6.loss_dice: 1.2624, decode.d7.loss_cls: 0.9312, decode.d7.loss_mask: 0.7887, decode.d7.loss_dice: 1.2700, decode.d8.loss_cls: 0.9251, decode.d8.loss_mask: 0.7816, decode.d8.loss_dice: 1.2661, loss: 32.3977 2022-09-12 16:23:42,539 - mmseg - INFO - Iter [23050/80000] lr: 1.022e-06, eta: 1 day, 6:34:41, time: 1.872, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8516, decode.loss_mask: 0.7891, decode.loss_dice: 1.2386, decode.d0.loss_cls: 2.8878, decode.d0.loss_mask: 0.7904, decode.d0.loss_dice: 1.4327, decode.d1.loss_cls: 0.9292, decode.d1.loss_mask: 0.8179, decode.d1.loss_dice: 1.3181, decode.d2.loss_cls: 0.8819, decode.d2.loss_mask: 0.7999, decode.d2.loss_dice: 1.2658, decode.d3.loss_cls: 0.8791, decode.d3.loss_mask: 0.7830, decode.d3.loss_dice: 1.2402, decode.d4.loss_cls: 0.8647, decode.d4.loss_mask: 0.7880, decode.d4.loss_dice: 1.2428, decode.d5.loss_cls: 0.8524, decode.d5.loss_mask: 0.7853, decode.d5.loss_dice: 1.2428, decode.d6.loss_cls: 0.8533, decode.d6.loss_mask: 0.7842, decode.d6.loss_dice: 1.2402, decode.d7.loss_cls: 0.8569, decode.d7.loss_mask: 0.7879, decode.d7.loss_dice: 1.2450, decode.d8.loss_cls: 0.8533, decode.d8.loss_mask: 0.7855, decode.d8.loss_dice: 1.2374, loss: 31.3250 2022-09-12 16:25:15,744 - mmseg - INFO - Iter [23100/80000] lr: 1.021e-06, eta: 1 day, 6:32:56, time: 1.864, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8390, decode.loss_mask: 0.8113, decode.loss_dice: 1.2519, decode.d0.loss_cls: 2.8438, decode.d0.loss_mask: 0.8128, decode.d0.loss_dice: 1.4375, decode.d1.loss_cls: 0.9143, decode.d1.loss_mask: 0.8357, decode.d1.loss_dice: 1.3378, decode.d2.loss_cls: 0.8608, decode.d2.loss_mask: 0.8216, decode.d2.loss_dice: 1.2812, decode.d3.loss_cls: 0.8475, decode.d3.loss_mask: 0.8244, decode.d3.loss_dice: 1.2638, decode.d4.loss_cls: 0.8383, decode.d4.loss_mask: 0.8244, decode.d4.loss_dice: 1.2600, decode.d5.loss_cls: 0.8386, decode.d5.loss_mask: 0.8241, decode.d5.loss_dice: 1.2525, decode.d6.loss_cls: 0.8395, decode.d6.loss_mask: 0.8158, decode.d6.loss_dice: 1.2483, decode.d7.loss_cls: 0.8384, decode.d7.loss_mask: 0.8178, decode.d7.loss_dice: 1.2551, decode.d8.loss_cls: 0.8393, decode.d8.loss_mask: 0.8147, decode.d8.loss_dice: 1.2563, loss: 31.5463 2022-09-12 16:26:47,253 - mmseg - INFO - Iter [23150/80000] lr: 1.020e-06, eta: 1 day, 6:31:07, time: 1.830, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8718, decode.loss_mask: 0.7974, decode.loss_dice: 1.2557, decode.d0.loss_cls: 2.9095, decode.d0.loss_mask: 0.7917, decode.d0.loss_dice: 1.4497, decode.d1.loss_cls: 0.9446, decode.d1.loss_mask: 0.8220, decode.d1.loss_dice: 1.3400, decode.d2.loss_cls: 0.8967, decode.d2.loss_mask: 0.8012, decode.d2.loss_dice: 1.2845, decode.d3.loss_cls: 0.8795, decode.d3.loss_mask: 0.7994, decode.d3.loss_dice: 1.2664, decode.d4.loss_cls: 0.8719, decode.d4.loss_mask: 0.7965, decode.d4.loss_dice: 1.2678, decode.d5.loss_cls: 0.8726, decode.d5.loss_mask: 0.7952, decode.d5.loss_dice: 1.2671, decode.d6.loss_cls: 0.8733, decode.d6.loss_mask: 0.7922, decode.d6.loss_dice: 1.2643, decode.d7.loss_cls: 0.8750, decode.d7.loss_mask: 0.7931, decode.d7.loss_dice: 1.2624, decode.d8.loss_cls: 0.8671, decode.d8.loss_mask: 0.7914, decode.d8.loss_dice: 1.2610, loss: 31.7610 2022-09-12 16:28:18,792 - mmseg - INFO - Iter [23200/80000] lr: 1.019e-06, eta: 1 day, 6:29:18, time: 1.829, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8731, decode.loss_mask: 0.8169, decode.loss_dice: 1.2469, decode.d0.loss_cls: 2.8535, decode.d0.loss_mask: 0.8044, decode.d0.loss_dice: 1.4430, decode.d1.loss_cls: 0.9455, decode.d1.loss_mask: 0.8350, decode.d1.loss_dice: 1.3350, decode.d2.loss_cls: 0.8981, decode.d2.loss_mask: 0.8279, decode.d2.loss_dice: 1.2836, decode.d3.loss_cls: 0.8826, decode.d3.loss_mask: 0.8167, decode.d3.loss_dice: 1.2639, decode.d4.loss_cls: 0.8789, decode.d4.loss_mask: 0.8105, decode.d4.loss_dice: 1.2599, decode.d5.loss_cls: 0.8728, decode.d5.loss_mask: 0.8132, decode.d5.loss_dice: 1.2518, decode.d6.loss_cls: 0.8661, decode.d6.loss_mask: 0.8154, decode.d6.loss_dice: 1.2464, decode.d7.loss_cls: 0.8696, decode.d7.loss_mask: 0.8131, decode.d7.loss_dice: 1.2449, decode.d8.loss_cls: 0.8711, decode.d8.loss_mask: 0.8119, decode.d8.loss_dice: 1.2459, loss: 31.7976 2022-09-12 16:29:52,198 - mmseg - INFO - Iter [23250/80000] lr: 1.019e-06, eta: 1 day, 6:27:33, time: 1.869, data_time: 0.022, memory: 42763, decode.loss_cls: 0.8382, decode.loss_mask: 0.8140, decode.loss_dice: 1.2715, decode.d0.loss_cls: 2.8792, decode.d0.loss_mask: 0.7968, decode.d0.loss_dice: 1.4596, decode.d1.loss_cls: 0.9182, decode.d1.loss_mask: 0.8314, decode.d1.loss_dice: 1.3555, decode.d2.loss_cls: 0.8715, decode.d2.loss_mask: 0.8105, decode.d2.loss_dice: 1.3068, decode.d3.loss_cls: 0.8580, decode.d3.loss_mask: 0.8163, decode.d3.loss_dice: 1.2902, decode.d4.loss_cls: 0.8555, decode.d4.loss_mask: 0.8127, decode.d4.loss_dice: 1.2828, decode.d5.loss_cls: 0.8470, decode.d5.loss_mask: 0.8143, decode.d5.loss_dice: 1.2711, decode.d6.loss_cls: 0.8433, decode.d6.loss_mask: 0.8055, decode.d6.loss_dice: 1.2686, decode.d7.loss_cls: 0.8476, decode.d7.loss_mask: 0.8068, decode.d7.loss_dice: 1.2667, decode.d8.loss_cls: 0.8452, decode.d8.loss_mask: 0.8070, decode.d8.loss_dice: 1.2667, loss: 31.7584 2022-09-12 16:31:25,183 - mmseg - INFO - Iter [23300/80000] lr: 1.018e-06, eta: 1 day, 6:25:48, time: 1.860, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8633, decode.loss_mask: 0.7939, decode.loss_dice: 1.2359, decode.d0.loss_cls: 2.8594, decode.d0.loss_mask: 0.7895, decode.d0.loss_dice: 1.4333, decode.d1.loss_cls: 0.9288, decode.d1.loss_mask: 0.8216, decode.d1.loss_dice: 1.3184, decode.d2.loss_cls: 0.8812, decode.d2.loss_mask: 0.8004, decode.d2.loss_dice: 1.2740, decode.d3.loss_cls: 0.8726, decode.d3.loss_mask: 0.7970, decode.d3.loss_dice: 1.2520, decode.d4.loss_cls: 0.8682, decode.d4.loss_mask: 0.7945, decode.d4.loss_dice: 1.2501, decode.d5.loss_cls: 0.8652, decode.d5.loss_mask: 0.7925, decode.d5.loss_dice: 1.2371, decode.d6.loss_cls: 0.8647, decode.d6.loss_mask: 0.7920, decode.d6.loss_dice: 1.2346, decode.d7.loss_cls: 0.8631, decode.d7.loss_mask: 0.7908, decode.d7.loss_dice: 1.2289, decode.d8.loss_cls: 0.8624, decode.d8.loss_mask: 0.7886, decode.d8.loss_dice: 1.2333, loss: 31.3871 2022-09-12 16:32:57,170 - mmseg - INFO - Iter [23350/80000] lr: 1.017e-06, eta: 1 day, 6:24:00, time: 1.840, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8809, decode.loss_mask: 0.8187, decode.loss_dice: 1.2685, decode.d0.loss_cls: 2.8886, decode.d0.loss_mask: 0.8103, decode.d0.loss_dice: 1.4731, decode.d1.loss_cls: 0.9552, decode.d1.loss_mask: 0.8476, decode.d1.loss_dice: 1.3475, decode.d2.loss_cls: 0.9039, decode.d2.loss_mask: 0.8236, decode.d2.loss_dice: 1.3052, decode.d3.loss_cls: 0.8988, decode.d3.loss_mask: 0.8192, decode.d3.loss_dice: 1.2846, decode.d4.loss_cls: 0.8952, decode.d4.loss_mask: 0.8222, decode.d4.loss_dice: 1.2733, decode.d5.loss_cls: 0.8839, decode.d5.loss_mask: 0.8258, decode.d5.loss_dice: 1.2752, decode.d6.loss_cls: 0.8820, decode.d6.loss_mask: 0.8135, decode.d6.loss_dice: 1.2594, decode.d7.loss_cls: 0.8805, decode.d7.loss_mask: 0.8167, decode.d7.loss_dice: 1.2596, decode.d8.loss_cls: 0.8793, decode.d8.loss_mask: 0.8160, decode.d8.loss_dice: 1.2670, loss: 32.1755 2022-09-12 16:34:29,728 - mmseg - INFO - Iter [23400/80000] lr: 1.016e-06, eta: 1 day, 6:22:14, time: 1.850, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8640, decode.loss_mask: 0.7998, decode.loss_dice: 1.2201, decode.d0.loss_cls: 2.8914, decode.d0.loss_mask: 0.7910, decode.d0.loss_dice: 1.4318, decode.d1.loss_cls: 0.9420, decode.d1.loss_mask: 0.8340, decode.d1.loss_dice: 1.3022, decode.d2.loss_cls: 0.8900, decode.d2.loss_mask: 0.8157, decode.d2.loss_dice: 1.2640, decode.d3.loss_cls: 0.8791, decode.d3.loss_mask: 0.8084, decode.d3.loss_dice: 1.2353, decode.d4.loss_cls: 0.8759, decode.d4.loss_mask: 0.8096, decode.d4.loss_dice: 1.2263, decode.d5.loss_cls: 0.8682, decode.d5.loss_mask: 0.8084, decode.d5.loss_dice: 1.2271, decode.d6.loss_cls: 0.8663, decode.d6.loss_mask: 0.8037, decode.d6.loss_dice: 1.2164, decode.d7.loss_cls: 0.8655, decode.d7.loss_mask: 0.7994, decode.d7.loss_dice: 1.2170, decode.d8.loss_cls: 0.8593, decode.d8.loss_mask: 0.8048, decode.d8.loss_dice: 1.2197, loss: 31.4365 2022-09-12 16:36:02,597 - mmseg - INFO - Iter [23450/80000] lr: 1.015e-06, eta: 1 day, 6:20:28, time: 1.858, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8769, decode.loss_mask: 0.8276, decode.loss_dice: 1.2782, decode.d0.loss_cls: 2.9171, decode.d0.loss_mask: 0.8224, decode.d0.loss_dice: 1.4699, decode.d1.loss_cls: 0.9649, decode.d1.loss_mask: 0.8435, decode.d1.loss_dice: 1.3686, decode.d2.loss_cls: 0.9095, decode.d2.loss_mask: 0.8349, decode.d2.loss_dice: 1.3205, decode.d3.loss_cls: 0.8902, decode.d3.loss_mask: 0.8358, decode.d3.loss_dice: 1.3024, decode.d4.loss_cls: 0.8864, decode.d4.loss_mask: 0.8335, decode.d4.loss_dice: 1.2986, decode.d5.loss_cls: 0.8889, decode.d5.loss_mask: 0.8294, decode.d5.loss_dice: 1.2930, decode.d6.loss_cls: 0.8852, decode.d6.loss_mask: 0.8296, decode.d6.loss_dice: 1.2748, decode.d7.loss_cls: 0.8748, decode.d7.loss_mask: 0.8269, decode.d7.loss_dice: 1.2810, decode.d8.loss_cls: 0.8708, decode.d8.loss_mask: 0.8268, decode.d8.loss_dice: 1.2874, loss: 32.4496 2022-09-12 16:37:36,122 - mmseg - INFO - Iter [23500/80000] lr: 1.014e-06, eta: 1 day, 6:18:44, time: 1.870, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8877, decode.loss_mask: 0.8342, decode.loss_dice: 1.2584, decode.d0.loss_cls: 2.8690, decode.d0.loss_mask: 0.8240, decode.d0.loss_dice: 1.4700, decode.d1.loss_cls: 0.9551, decode.d1.loss_mask: 0.8605, decode.d1.loss_dice: 1.3596, decode.d2.loss_cls: 0.8996, decode.d2.loss_mask: 0.8505, decode.d2.loss_dice: 1.3094, decode.d3.loss_cls: 0.8954, decode.d3.loss_mask: 0.8413, decode.d3.loss_dice: 1.2836, decode.d4.loss_cls: 0.8868, decode.d4.loss_mask: 0.8425, decode.d4.loss_dice: 1.2826, decode.d5.loss_cls: 0.8813, decode.d5.loss_mask: 0.8410, decode.d5.loss_dice: 1.2657, decode.d6.loss_cls: 0.8885, decode.d6.loss_mask: 0.8346, decode.d6.loss_dice: 1.2606, decode.d7.loss_cls: 0.8840, decode.d7.loss_mask: 0.8366, decode.d7.loss_dice: 1.2551, decode.d8.loss_cls: 0.8782, decode.d8.loss_mask: 0.8349, decode.d8.loss_dice: 1.2627, loss: 32.3332 2022-09-12 16:39:09,636 - mmseg - INFO - Iter [23550/80000] lr: 1.013e-06, eta: 1 day, 6:17:00, time: 1.868, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8800, decode.loss_mask: 0.7974, decode.loss_dice: 1.2375, decode.d0.loss_cls: 2.9374, decode.d0.loss_mask: 0.7924, decode.d0.loss_dice: 1.4514, decode.d1.loss_cls: 0.9545, decode.d1.loss_mask: 0.8213, decode.d1.loss_dice: 1.3284, decode.d2.loss_cls: 0.9040, decode.d2.loss_mask: 0.8063, decode.d2.loss_dice: 1.2796, decode.d3.loss_cls: 0.8923, decode.d3.loss_mask: 0.7988, decode.d3.loss_dice: 1.2651, decode.d4.loss_cls: 0.8950, decode.d4.loss_mask: 0.7971, decode.d4.loss_dice: 1.2604, decode.d5.loss_cls: 0.8932, decode.d5.loss_mask: 0.7958, decode.d5.loss_dice: 1.2547, decode.d6.loss_cls: 0.8837, decode.d6.loss_mask: 0.7901, decode.d6.loss_dice: 1.2417, decode.d7.loss_cls: 0.8792, decode.d7.loss_mask: 0.7911, decode.d7.loss_dice: 1.2441, decode.d8.loss_cls: 0.8817, decode.d8.loss_mask: 0.7892, decode.d8.loss_dice: 1.2394, loss: 31.7828 2022-09-12 16:40:42,988 - mmseg - INFO - Iter [23600/80000] lr: 1.012e-06, eta: 1 day, 6:15:16, time: 1.869, data_time: 0.017, memory: 42763, decode.loss_cls: 0.9257, decode.loss_mask: 0.7951, decode.loss_dice: 1.2705, decode.d0.loss_cls: 2.9736, decode.d0.loss_mask: 0.7924, decode.d0.loss_dice: 1.4798, decode.d1.loss_cls: 0.9966, decode.d1.loss_mask: 0.8226, decode.d1.loss_dice: 1.3612, decode.d2.loss_cls: 0.9431, decode.d2.loss_mask: 0.8055, decode.d2.loss_dice: 1.3170, decode.d3.loss_cls: 0.9384, decode.d3.loss_mask: 0.7972, decode.d3.loss_dice: 1.2924, decode.d4.loss_cls: 0.9265, decode.d4.loss_mask: 0.7939, decode.d4.loss_dice: 1.2881, decode.d5.loss_cls: 0.9222, decode.d5.loss_mask: 0.7965, decode.d5.loss_dice: 1.2818, decode.d6.loss_cls: 0.9192, decode.d6.loss_mask: 0.7960, decode.d6.loss_dice: 1.2758, decode.d7.loss_cls: 0.9219, decode.d7.loss_mask: 0.7952, decode.d7.loss_dice: 1.2790, decode.d8.loss_cls: 0.9154, decode.d8.loss_mask: 0.8003, decode.d8.loss_dice: 1.2717, loss: 32.4943 2022-09-12 16:42:15,880 - mmseg - INFO - Iter [23650/80000] lr: 1.011e-06, eta: 1 day, 6:13:31, time: 1.858, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8861, decode.loss_mask: 0.8082, decode.loss_dice: 1.2422, decode.d0.loss_cls: 2.8479, decode.d0.loss_mask: 0.8036, decode.d0.loss_dice: 1.4438, decode.d1.loss_cls: 0.9702, decode.d1.loss_mask: 0.8268, decode.d1.loss_dice: 1.3222, decode.d2.loss_cls: 0.9099, decode.d2.loss_mask: 0.8167, decode.d2.loss_dice: 1.2718, decode.d3.loss_cls: 0.9030, decode.d3.loss_mask: 0.8141, decode.d3.loss_dice: 1.2536, decode.d4.loss_cls: 0.8990, decode.d4.loss_mask: 0.8037, decode.d4.loss_dice: 1.2490, decode.d5.loss_cls: 0.8912, decode.d5.loss_mask: 0.8036, decode.d5.loss_dice: 1.2425, decode.d6.loss_cls: 0.8901, decode.d6.loss_mask: 0.8019, decode.d6.loss_dice: 1.2305, decode.d7.loss_cls: 0.8842, decode.d7.loss_mask: 0.8061, decode.d7.loss_dice: 1.2431, decode.d8.loss_cls: 0.8861, decode.d8.loss_mask: 0.8102, decode.d8.loss_dice: 1.2382, loss: 31.7995 2022-09-12 16:43:48,101 - mmseg - INFO - Iter [23700/80000] lr: 1.010e-06, eta: 1 day, 6:11:44, time: 1.844, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8734, decode.loss_mask: 0.8154, decode.loss_dice: 1.2617, decode.d0.loss_cls: 2.8846, decode.d0.loss_mask: 0.8079, decode.d0.loss_dice: 1.4561, decode.d1.loss_cls: 0.9496, decode.d1.loss_mask: 0.8429, decode.d1.loss_dice: 1.3415, decode.d2.loss_cls: 0.8987, decode.d2.loss_mask: 0.8231, decode.d2.loss_dice: 1.2833, decode.d3.loss_cls: 0.8830, decode.d3.loss_mask: 0.8130, decode.d3.loss_dice: 1.2746, decode.d4.loss_cls: 0.8773, decode.d4.loss_mask: 0.8152, decode.d4.loss_dice: 1.2732, decode.d5.loss_cls: 0.8740, decode.d5.loss_mask: 0.8158, decode.d5.loss_dice: 1.2685, decode.d6.loss_cls: 0.8725, decode.d6.loss_mask: 0.8122, decode.d6.loss_dice: 1.2566, decode.d7.loss_cls: 0.8801, decode.d7.loss_mask: 0.8111, decode.d7.loss_dice: 1.2572, decode.d8.loss_cls: 0.8815, decode.d8.loss_mask: 0.8103, decode.d8.loss_dice: 1.2529, loss: 31.9673 2022-09-12 16:45:18,977 - mmseg - INFO - Iter [23750/80000] lr: 1.010e-06, eta: 1 day, 6:09:54, time: 1.818, data_time: 0.015, memory: 42763, decode.loss_cls: 0.9295, decode.loss_mask: 0.8124, decode.loss_dice: 1.2825, decode.d0.loss_cls: 2.9474, decode.d0.loss_mask: 0.8054, decode.d0.loss_dice: 1.4900, decode.d1.loss_cls: 0.9940, decode.d1.loss_mask: 0.8403, decode.d1.loss_dice: 1.3711, decode.d2.loss_cls: 0.9462, decode.d2.loss_mask: 0.8221, decode.d2.loss_dice: 1.3089, decode.d3.loss_cls: 0.9329, decode.d3.loss_mask: 0.8111, decode.d3.loss_dice: 1.2823, decode.d4.loss_cls: 0.9357, decode.d4.loss_mask: 0.8133, decode.d4.loss_dice: 1.2854, decode.d5.loss_cls: 0.9312, decode.d5.loss_mask: 0.8155, decode.d5.loss_dice: 1.2818, decode.d6.loss_cls: 0.9261, decode.d6.loss_mask: 0.8103, decode.d6.loss_dice: 1.2777, decode.d7.loss_cls: 0.9266, decode.d7.loss_mask: 0.8131, decode.d7.loss_dice: 1.2789, decode.d8.loss_cls: 0.9232, decode.d8.loss_mask: 0.8114, decode.d8.loss_dice: 1.2764, loss: 32.6824 2022-09-12 16:46:52,244 - mmseg - INFO - Iter [23800/80000] lr: 1.009e-06, eta: 1 day, 6:08:10, time: 1.865, data_time: 0.017, memory: 42763, decode.loss_cls: 0.8457, decode.loss_mask: 0.8094, decode.loss_dice: 1.2510, decode.d0.loss_cls: 2.8312, decode.d0.loss_mask: 0.8068, decode.d0.loss_dice: 1.4360, decode.d1.loss_cls: 0.9417, decode.d1.loss_mask: 0.8273, decode.d1.loss_dice: 1.3312, decode.d2.loss_cls: 0.8777, decode.d2.loss_mask: 0.8202, decode.d2.loss_dice: 1.2856, decode.d3.loss_cls: 0.8621, decode.d3.loss_mask: 0.8160, decode.d3.loss_dice: 1.2605, decode.d4.loss_cls: 0.8643, decode.d4.loss_mask: 0.8077, decode.d4.loss_dice: 1.2553, decode.d5.loss_cls: 0.8621, decode.d5.loss_mask: 0.8067, decode.d5.loss_dice: 1.2450, decode.d6.loss_cls: 0.8566, decode.d6.loss_mask: 0.8053, decode.d6.loss_dice: 1.2467, decode.d7.loss_cls: 0.8489, decode.d7.loss_mask: 0.8097, decode.d7.loss_dice: 1.2449, decode.d8.loss_cls: 0.8471, decode.d8.loss_mask: 0.8035, decode.d8.loss_dice: 1.2488, loss: 31.5549 2022-09-12 16:48:25,895 - mmseg - INFO - Iter [23850/80000] lr: 1.008e-06, eta: 1 day, 6:06:26, time: 1.873, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8304, decode.loss_mask: 0.7778, decode.loss_dice: 1.2372, decode.d0.loss_cls: 2.8163, decode.d0.loss_mask: 0.7789, decode.d0.loss_dice: 1.4381, decode.d1.loss_cls: 0.8998, decode.d1.loss_mask: 0.8122, decode.d1.loss_dice: 1.3199, decode.d2.loss_cls: 0.8589, decode.d2.loss_mask: 0.7973, decode.d2.loss_dice: 1.2755, decode.d3.loss_cls: 0.8528, decode.d3.loss_mask: 0.7893, decode.d3.loss_dice: 1.2516, decode.d4.loss_cls: 0.8479, decode.d4.loss_mask: 0.7906, decode.d4.loss_dice: 1.2478, decode.d5.loss_cls: 0.8374, decode.d5.loss_mask: 0.7895, decode.d5.loss_dice: 1.2366, decode.d6.loss_cls: 0.8316, decode.d6.loss_mask: 0.7856, decode.d6.loss_dice: 1.2308, decode.d7.loss_cls: 0.8309, decode.d7.loss_mask: 0.7827, decode.d7.loss_dice: 1.2332, decode.d8.loss_cls: 0.8358, decode.d8.loss_mask: 0.7843, decode.d8.loss_dice: 1.2336, loss: 31.0342 2022-09-12 16:49:58,406 - mmseg - INFO - Iter [23900/80000] lr: 1.007e-06, eta: 1 day, 6:04:41, time: 1.850, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8714, decode.loss_mask: 0.8058, decode.loss_dice: 1.2139, decode.d0.loss_cls: 2.8890, decode.d0.loss_mask: 0.8076, decode.d0.loss_dice: 1.4145, decode.d1.loss_cls: 0.9505, decode.d1.loss_mask: 0.8321, decode.d1.loss_dice: 1.3059, decode.d2.loss_cls: 0.8998, decode.d2.loss_mask: 0.8184, decode.d2.loss_dice: 1.2566, decode.d3.loss_cls: 0.8903, decode.d3.loss_mask: 0.8069, decode.d3.loss_dice: 1.2371, decode.d4.loss_cls: 0.8900, decode.d4.loss_mask: 0.8020, decode.d4.loss_dice: 1.2318, decode.d5.loss_cls: 0.8845, decode.d5.loss_mask: 0.8031, decode.d5.loss_dice: 1.2179, decode.d6.loss_cls: 0.8739, decode.d6.loss_mask: 0.8038, decode.d6.loss_dice: 1.2168, decode.d7.loss_cls: 0.8684, decode.d7.loss_mask: 0.8063, decode.d7.loss_dice: 1.2200, decode.d8.loss_cls: 0.8624, decode.d8.loss_mask: 0.8069, decode.d8.loss_dice: 1.2139, loss: 31.5017 2022-09-12 16:51:31,121 - mmseg - INFO - Iter [23950/80000] lr: 1.006e-06, eta: 1 day, 6:02:55, time: 1.854, data_time: 0.014, memory: 42763, decode.loss_cls: 0.9216, decode.loss_mask: 0.7941, decode.loss_dice: 1.2615, decode.d0.loss_cls: 2.9401, decode.d0.loss_mask: 0.7950, decode.d0.loss_dice: 1.4706, decode.d1.loss_cls: 0.9757, decode.d1.loss_mask: 0.8295, decode.d1.loss_dice: 1.3530, decode.d2.loss_cls: 0.9345, decode.d2.loss_mask: 0.8117, decode.d2.loss_dice: 1.3017, decode.d3.loss_cls: 0.9350, decode.d3.loss_mask: 0.8038, decode.d3.loss_dice: 1.2772, decode.d4.loss_cls: 0.9230, decode.d4.loss_mask: 0.7993, decode.d4.loss_dice: 1.2754, decode.d5.loss_cls: 0.9217, decode.d5.loss_mask: 0.7928, decode.d5.loss_dice: 1.2707, decode.d6.loss_cls: 0.9175, decode.d6.loss_mask: 0.7920, decode.d6.loss_dice: 1.2676, decode.d7.loss_cls: 0.9114, decode.d7.loss_mask: 0.7926, decode.d7.loss_dice: 1.2632, decode.d8.loss_cls: 0.9174, decode.d8.loss_mask: 0.7918, decode.d8.loss_dice: 1.2685, loss: 32.3099 2022-09-12 16:53:04,038 - mmseg - INFO - Saving checkpoint at 24000 iterations 2022-09-12 16:53:32,092 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 16:53:32,096 - mmseg - INFO - Iter [24000/80000] lr: 1.005e-06, eta: 1 day, 6:02:16, time: 2.418, data_time: 0.017, memory: 42763, decode.loss_cls: 0.8993, decode.loss_mask: 0.8112, decode.loss_dice: 1.2574, decode.d0.loss_cls: 2.8743, decode.d0.loss_mask: 0.8037, decode.d0.loss_dice: 1.4549, decode.d1.loss_cls: 0.9744, decode.d1.loss_mask: 0.8375, decode.d1.loss_dice: 1.3394, decode.d2.loss_cls: 0.9250, decode.d2.loss_mask: 0.8225, decode.d2.loss_dice: 1.2954, decode.d3.loss_cls: 0.9140, decode.d3.loss_mask: 0.8132, decode.d3.loss_dice: 1.2674, decode.d4.loss_cls: 0.9151, decode.d4.loss_mask: 0.8136, decode.d4.loss_dice: 1.2634, decode.d5.loss_cls: 0.9042, decode.d5.loss_mask: 0.8101, decode.d5.loss_dice: 1.2632, decode.d6.loss_cls: 0.8996, decode.d6.loss_mask: 0.8103, decode.d6.loss_dice: 1.2551, decode.d7.loss_cls: 0.8962, decode.d7.loss_mask: 0.8075, decode.d7.loss_dice: 1.2611, decode.d8.loss_cls: 0.8921, decode.d8.loss_mask: 0.8099, decode.d8.loss_dice: 1.2644, loss: 32.1555 2022-09-12 16:58:27,271 - mmseg - INFO - per class results: 2022-09-12 16:58:27,280 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 87.97 | 94.09 | | bicycle | 75.79 | 86.43 | | car | 68.19 | 82.64 | | motorcycle | 86.14 | 91.04 | | airplane | 84.7 | 90.94 | | bus | 84.89 | 89.25 | | train | 85.03 | 95.33 | | truck | 65.74 | 84.24 | | boat | 69.79 | 86.26 | | traffic light | 73.09 | 84.42 | | fire hydrant | 91.56 | 96.01 | | stop sign | 89.94 | 98.01 | | parking meter | 77.69 | 86.73 | | bench | 56.27 | 69.46 | | bird | 83.42 | 91.28 | | cat | 80.98 | 86.13 | | dog | 79.7 | 86.47 | | horse | 86.4 | 93.54 | | sheep | 88.06 | 95.24 | | cow | 88.41 | 91.99 | | elephant | 93.21 | 96.61 | | bear | 92.88 | 95.36 | | zebra | 91.38 | 94.12 | | giraffe | 88.39 | 93.56 | | backpack | 44.35 | 68.52 | | umbrella | 85.91 | 90.82 | | handbag | 44.99 | 68.06 | | tie | 17.39 | 22.36 | | suitcase | 83.61 | 92.7 | | frisbee | 80.78 | 94.52 | | skis | 61.34 | 77.44 | | snowboard | 73.63 | 82.24 | | sports ball | 60.43 | 76.8 | | kite | 77.86 | 88.03 | | baseball bat | 49.58 | 84.54 | | baseball glove | 76.03 | 92.59 | | skateboard | 82.3 | 91.1 | | surfboard | 84.91 | 92.59 | | tennis racket | 86.56 | 92.04 | | bottle | 44.54 | 52.79 | | wine glass | 64.03 | 84.39 | | cup | 56.77 | 76.64 | | fork | 39.7 | 46.51 | | knife | 36.1 | 41.83 | | spoon | 39.3 | 55.52 | | bowl | 49.67 | 76.67 | | banana | 66.27 | 83.82 | | apple | 54.23 | 62.46 | | sandwich | 44.97 | 55.64 | | orange | 71.49 | 78.35 | | broccoli | 45.06 | 52.09 | | carrot | 46.54 | 50.43 | | hot dog | 50.53 | 60.75 | | pizza | 64.69 | 72.05 | | donut | 76.13 | 91.33 | | cake | 71.11 | 78.99 | | chair | 54.79 | 74.07 | | couch | 57.97 | 82.56 | | potted plant | 34.25 | 46.3 | | bed | 69.34 | 89.08 | | dining table | 44.49 | 76.4 | | toilet | 86.27 | 94.67 | | tv | 78.78 | 86.34 | | laptop | 79.24 | 93.89 | | mouse | 79.69 | 88.47 | | remote | 59.58 | 73.8 | | keyboard | 66.37 | 76.13 | | cell phone | 74.51 | 84.1 | | microwave | 71.6 | 80.05 | | oven | 60.49 | 88.44 | | toaster | 0.02 | 0.02 | | sink | 66.6 | 81.35 | | refrigerator | 82.06 | 92.57 | | book | 57.28 | 67.9 | | clock | 72.99 | 82.05 | | vase | 62.19 | 85.75 | | scissors | 80.46 | 91.14 | | teddy bear | 84.34 | 94.51 | | hair drier | 0.0 | 0.0 | | toothbrush | 32.94 | 86.96 | | banner | 31.31 | 65.01 | | blanket | 0.0 | 0.0 | | branch | 25.09 | 35.17 | | bridge | 41.88 | 73.08 | | building-other | 53.83 | 75.03 | | bush | 34.83 | 48.2 | | cabinet | 56.94 | 72.4 | | cage | 24.33 | 37.22 | | cardboard | 54.02 | 67.58 | | carpet | 52.68 | 78.94 | | ceiling-other | 64.99 | 76.43 | | ceiling-tile | 0.0 | 0.0 | | cloth | 0.0 | 0.0 | | clothes | 22.1 | 30.19 | | clouds | 43.67 | 55.76 | | counter | 30.41 | 56.76 | | cupboard | 0.0 | 0.0 | | curtain | 71.52 | 81.87 | | desk-stuff | 45.3 | 66.53 | | dirt | 38.18 | 53.26 | | door-stuff | 47.29 | 71.64 | | fence | 28.49 | 48.79 | | floor-marble | 2.78 | 2.93 | | floor-other | 22.74 | 33.27 | | floor-stone | 0.04 | 0.04 | | floor-tile | 60.68 | 77.15 | | floor-wood | 63.85 | 82.68 | | flower | 48.35 | 67.34 | | fog | 5.49 | 5.65 | | food-other | 35.28 | 50.72 | | fruit | 45.63 | 67.98 | | furniture-other | 20.09 | 29.59 | | grass | 69.87 | 84.06 | | gravel | 24.31 | 29.91 | | ground-other | 10.42 | 21.15 | | hill | 21.47 | 33.57 | | house | 23.7 | 27.78 | | leaves | 29.82 | 42.07 | | light | 41.51 | 54.74 | | mat | 0.0 | 0.0 | | metal | 35.98 | 48.14 | | mirror-stuff | 59.33 | 73.63 | | moss | 0.0 | 0.0 | | mountain | 49.55 | 75.9 | | mud | 0.22 | 0.47 | | napkin | 2.4 | 2.41 | | net | 45.41 | 68.16 | | paper | 38.49 | 60.39 | | pavement | 50.93 | 65.6 | | pillow | 18.13 | 28.48 | | plant-other | 19.13 | 29.34 | | plastic | 27.68 | 39.11 | | platform | 30.9 | 48.08 | | playingfield | 64.04 | 81.07 | | railing | 9.42 | 13.75 | | railroad | 61.59 | 85.29 | | river | 24.42 | 26.4 | | road | 65.81 | 83.96 | | rock | 42.14 | 63.11 | | roof | 24.34 | 29.54 | | rug | 34.5 | 45.87 | | salad | 0.0 | 0.0 | | sand | 64.33 | 68.54 | | sea | 85.34 | 92.72 | | shelf | 37.75 | 50.87 | | sky-other | 70.52 | 88.2 | | skyscraper | 40.46 | 57.06 | | snow | 90.9 | 94.18 | | solid-other | 0.0 | 0.0 | | stairs | 30.71 | 58.77 | | stone | 4.4 | 6.23 | | straw | 31.22 | 54.97 | | structural-other | 5.78 | 8.21 | | table | 14.18 | 16.64 | | tent | 7.8 | 10.29 | | textile-other | 16.28 | 31.24 | | towel | 38.68 | 46.76 | | tree | 74.05 | 85.07 | | vegetable | 40.26 | 49.32 | | wall-brick | 50.99 | 65.51 | | wall-concrete | 61.83 | 78.61 | | wall-other | 21.05 | 37.21 | | wall-panel | 4.09 | 4.7 | | wall-stone | 30.92 | 41.68 | | wall-tile | 70.04 | 86.57 | | wall-wood | 41.58 | 63.14 | | water-other | 33.37 | 73.4 | | waterdrops | 0.0 | 0.0 | | window-blind | 55.41 | 67.52 | | window-other | 47.54 | 62.92 | | wood | 27.05 | 39.05 | +------------------+-------+-------+ 2022-09-12 16:58:27,280 - mmseg - INFO - Summary: 2022-09-12 16:58:27,281 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 72.21 | 49.42 | 61.54 | +-------+-------+-------+ 2022-09-12 16:58:27,909 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/segmentation/work_dirs/mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss/best_mIoU_iter_16000.pth was removed 2022-09-12 16:58:56,669 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_24000.pth. 2022-09-12 16:58:56,680 - mmseg - INFO - Best mIoU is 0.4942 at 24000 iter. 2022-09-12 16:58:56,710 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 16:58:56,711 - mmseg - INFO - Iter(val) [313] aAcc: 0.7221, mIoU: 0.4942, mAcc: 0.6154, IoU.person: 0.8797, IoU.bicycle: 0.7579, IoU.car: 0.6819, IoU.motorcycle: 0.8614, IoU.airplane: 0.8470, IoU.bus: 0.8489, IoU.train: 0.8503, IoU.truck: 0.6574, IoU.boat: 0.6979, IoU.traffic light: 0.7309, IoU.fire hydrant: 0.9156, IoU.stop sign: 0.8994, IoU.parking meter: 0.7769, IoU.bench: 0.5627, IoU.bird: 0.8342, IoU.cat: 0.8098, IoU.dog: 0.7970, IoU.horse: 0.8640, IoU.sheep: 0.8806, IoU.cow: 0.8841, IoU.elephant: 0.9321, IoU.bear: 0.9288, IoU.zebra: 0.9138, IoU.giraffe: 0.8839, IoU.backpack: 0.4435, IoU.umbrella: 0.8591, IoU.handbag: 0.4499, IoU.tie: 0.1739, IoU.suitcase: 0.8361, IoU.frisbee: 0.8078, IoU.skis: 0.6134, IoU.snowboard: 0.7363, IoU.sports ball: 0.6043, IoU.kite: 0.7786, IoU.baseball bat: 0.4958, IoU.baseball glove: 0.7603, IoU.skateboard: 0.8230, IoU.surfboard: 0.8491, IoU.tennis racket: 0.8656, IoU.bottle: 0.4454, IoU.wine glass: 0.6403, IoU.cup: 0.5677, IoU.fork: 0.3970, IoU.knife: 0.3610, IoU.spoon: 0.3930, IoU.bowl: 0.4967, IoU.banana: 0.6627, IoU.apple: 0.5423, IoU.sandwich: 0.4497, IoU.orange: 0.7149, IoU.broccoli: 0.4506, IoU.carrot: 0.4654, IoU.hot dog: 0.5053, IoU.pizza: 0.6469, IoU.donut: 0.7613, IoU.cake: 0.7111, IoU.chair: 0.5479, IoU.couch: 0.5797, IoU.potted plant: 0.3425, IoU.bed: 0.6934, IoU.dining table: 0.4449, IoU.toilet: 0.8627, IoU.tv: 0.7878, IoU.laptop: 0.7924, IoU.mouse: 0.7969, IoU.remote: 0.5958, IoU.keyboard: 0.6637, IoU.cell phone: 0.7451, IoU.microwave: 0.7160, IoU.oven: 0.6049, IoU.toaster: 0.0002, IoU.sink: 0.6660, IoU.refrigerator: 0.8206, IoU.book: 0.5728, IoU.clock: 0.7299, IoU.vase: 0.6219, IoU.scissors: 0.8046, IoU.teddy bear: 0.8434, IoU.hair drier: 0.0000, IoU.toothbrush: 0.3294, IoU.banner: 0.3131, IoU.blanket: 0.0000, IoU.branch: 0.2509, IoU.bridge: 0.4188, IoU.building-other: 0.5383, IoU.bush: 0.3483, IoU.cabinet: 0.5694, IoU.cage: 0.2433, IoU.cardboard: 0.5402, IoU.carpet: 0.5268, IoU.ceiling-other: 0.6499, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0000, IoU.clothes: 0.2210, IoU.clouds: 0.4367, IoU.counter: 0.3041, IoU.cupboard: 0.0000, IoU.curtain: 0.7152, IoU.desk-stuff: 0.4530, IoU.dirt: 0.3818, IoU.door-stuff: 0.4729, IoU.fence: 0.2849, IoU.floor-marble: 0.0278, IoU.floor-other: 0.2274, IoU.floor-stone: 0.0004, IoU.floor-tile: 0.6068, IoU.floor-wood: 0.6385, IoU.flower: 0.4835, IoU.fog: 0.0549, IoU.food-other: 0.3528, IoU.fruit: 0.4563, IoU.furniture-other: 0.2009, IoU.grass: 0.6987, IoU.gravel: 0.2431, IoU.ground-other: 0.1042, IoU.hill: 0.2147, IoU.house: 0.2370, IoU.leaves: 0.2982, IoU.light: 0.4151, IoU.mat: 0.0000, IoU.metal: 0.3598, IoU.mirror-stuff: 0.5933, IoU.moss: 0.0000, IoU.mountain: 0.4955, IoU.mud: 0.0022, IoU.napkin: 0.0240, IoU.net: 0.4541, IoU.paper: 0.3849, IoU.pavement: 0.5093, IoU.pillow: 0.1813, IoU.plant-other: 0.1913, IoU.plastic: 0.2768, IoU.platform: 0.3090, IoU.playingfield: 0.6404, IoU.railing: 0.0942, IoU.railroad: 0.6159, IoU.river: 0.2442, IoU.road: 0.6581, IoU.rock: 0.4214, IoU.roof: 0.2434, IoU.rug: 0.3450, IoU.salad: 0.0000, IoU.sand: 0.6433, IoU.sea: 0.8534, IoU.shelf: 0.3775, IoU.sky-other: 0.7052, IoU.skyscraper: 0.4046, IoU.snow: 0.9090, IoU.solid-other: 0.0000, IoU.stairs: 0.3071, IoU.stone: 0.0440, IoU.straw: 0.3122, IoU.structural-other: 0.0578, IoU.table: 0.1418, IoU.tent: 0.0780, IoU.textile-other: 0.1628, IoU.towel: 0.3868, IoU.tree: 0.7405, IoU.vegetable: 0.4026, IoU.wall-brick: 0.5099, IoU.wall-concrete: 0.6183, IoU.wall-other: 0.2105, IoU.wall-panel: 0.0409, IoU.wall-stone: 0.3092, IoU.wall-tile: 0.7004, IoU.wall-wood: 0.4158, IoU.water-other: 0.3337, IoU.waterdrops: 0.0000, IoU.window-blind: 0.5541, IoU.window-other: 0.4754, IoU.wood: 0.2705, Acc.person: 0.9409, Acc.bicycle: 0.8643, Acc.car: 0.8264, Acc.motorcycle: 0.9104, Acc.airplane: 0.9094, Acc.bus: 0.8925, Acc.train: 0.9533, Acc.truck: 0.8424, Acc.boat: 0.8626, Acc.traffic light: 0.8442, Acc.fire hydrant: 0.9601, Acc.stop sign: 0.9801, Acc.parking meter: 0.8673, Acc.bench: 0.6946, Acc.bird: 0.9128, Acc.cat: 0.8613, Acc.dog: 0.8647, Acc.horse: 0.9354, Acc.sheep: 0.9524, Acc.cow: 0.9199, Acc.elephant: 0.9661, Acc.bear: 0.9536, Acc.zebra: 0.9412, Acc.giraffe: 0.9356, Acc.backpack: 0.6852, Acc.umbrella: 0.9082, Acc.handbag: 0.6806, Acc.tie: 0.2236, Acc.suitcase: 0.9270, Acc.frisbee: 0.9452, Acc.skis: 0.7744, Acc.snowboard: 0.8224, Acc.sports ball: 0.7680, Acc.kite: 0.8803, Acc.baseball bat: 0.8454, Acc.baseball glove: 0.9259, Acc.skateboard: 0.9110, Acc.surfboard: 0.9259, Acc.tennis racket: 0.9204, Acc.bottle: 0.5279, Acc.wine glass: 0.8439, Acc.cup: 0.7664, Acc.fork: 0.4651, Acc.knife: 0.4183, Acc.spoon: 0.5552, Acc.bowl: 0.7667, Acc.banana: 0.8382, Acc.apple: 0.6246, Acc.sandwich: 0.5564, Acc.orange: 0.7835, Acc.broccoli: 0.5209, Acc.carrot: 0.5043, Acc.hot dog: 0.6075, Acc.pizza: 0.7205, Acc.donut: 0.9133, Acc.cake: 0.7899, Acc.chair: 0.7407, Acc.couch: 0.8256, Acc.potted plant: 0.4630, Acc.bed: 0.8908, Acc.dining table: 0.7640, Acc.toilet: 0.9467, Acc.tv: 0.8634, Acc.laptop: 0.9389, Acc.mouse: 0.8847, Acc.remote: 0.7380, Acc.keyboard: 0.7613, Acc.cell phone: 0.8410, Acc.microwave: 0.8005, Acc.oven: 0.8844, Acc.toaster: 0.0002, Acc.sink: 0.8135, Acc.refrigerator: 0.9257, Acc.book: 0.6790, Acc.clock: 0.8205, Acc.vase: 0.8575, Acc.scissors: 0.9114, Acc.teddy bear: 0.9451, Acc.hair drier: 0.0000, Acc.toothbrush: 0.8696, Acc.banner: 0.6501, Acc.blanket: 0.0000, Acc.branch: 0.3517, Acc.bridge: 0.7308, Acc.building-other: 0.7503, Acc.bush: 0.4820, Acc.cabinet: 0.7240, Acc.cage: 0.3722, Acc.cardboard: 0.6758, Acc.carpet: 0.7894, Acc.ceiling-other: 0.7643, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0000, Acc.clothes: 0.3019, Acc.clouds: 0.5576, Acc.counter: 0.5676, Acc.cupboard: 0.0000, Acc.curtain: 0.8187, Acc.desk-stuff: 0.6653, Acc.dirt: 0.5326, Acc.door-stuff: 0.7164, Acc.fence: 0.4879, Acc.floor-marble: 0.0293, Acc.floor-other: 0.3327, Acc.floor-stone: 0.0004, Acc.floor-tile: 0.7715, Acc.floor-wood: 0.8268, Acc.flower: 0.6734, Acc.fog: 0.0565, Acc.food-other: 0.5072, Acc.fruit: 0.6798, Acc.furniture-other: 0.2959, Acc.grass: 0.8406, Acc.gravel: 0.2991, Acc.ground-other: 0.2115, Acc.hill: 0.3357, Acc.house: 0.2778, Acc.leaves: 0.4207, Acc.light: 0.5474, Acc.mat: 0.0000, Acc.metal: 0.4814, Acc.mirror-stuff: 0.7363, Acc.moss: 0.0000, Acc.mountain: 0.7590, Acc.mud: 0.0047, Acc.napkin: 0.0241, Acc.net: 0.6816, Acc.paper: 0.6039, Acc.pavement: 0.6560, Acc.pillow: 0.2848, Acc.plant-other: 0.2934, Acc.plastic: 0.3911, Acc.platform: 0.4808, Acc.playingfield: 0.8107, Acc.railing: 0.1375, Acc.railroad: 0.8529, Acc.river: 0.2640, Acc.road: 0.8396, Acc.rock: 0.6311, Acc.roof: 0.2954, Acc.rug: 0.4587, Acc.salad: 0.0000, Acc.sand: 0.6854, Acc.sea: 0.9272, Acc.shelf: 0.5087, Acc.sky-other: 0.8820, Acc.skyscraper: 0.5706, Acc.snow: 0.9418, Acc.solid-other: 0.0000, Acc.stairs: 0.5877, Acc.stone: 0.0623, Acc.straw: 0.5497, Acc.structural-other: 0.0821, Acc.table: 0.1664, Acc.tent: 0.1029, Acc.textile-other: 0.3124, Acc.towel: 0.4676, Acc.tree: 0.8507, Acc.vegetable: 0.4932, Acc.wall-brick: 0.6551, Acc.wall-concrete: 0.7861, Acc.wall-other: 0.3721, Acc.wall-panel: 0.0470, Acc.wall-stone: 0.4168, Acc.wall-tile: 0.8657, Acc.wall-wood: 0.6314, Acc.water-other: 0.7340, Acc.waterdrops: 0.0000, Acc.window-blind: 0.6752, Acc.window-other: 0.6292, Acc.wood: 0.3905 2022-09-12 17:00:30,226 - mmseg - INFO - Iter [24050/80000] lr: 1.004e-06, eta: 1 day, 6:13:07, time: 8.364, data_time: 6.509, memory: 42763, decode.loss_cls: 0.8830, decode.loss_mask: 0.8069, decode.loss_dice: 1.2584, decode.d0.loss_cls: 2.9014, decode.d0.loss_mask: 0.7955, decode.d0.loss_dice: 1.4657, decode.d1.loss_cls: 0.9642, decode.d1.loss_mask: 0.8290, decode.d1.loss_dice: 1.3452, decode.d2.loss_cls: 0.9112, decode.d2.loss_mask: 0.8138, decode.d2.loss_dice: 1.2913, decode.d3.loss_cls: 0.9060, decode.d3.loss_mask: 0.8079, decode.d3.loss_dice: 1.2596, decode.d4.loss_cls: 0.9011, decode.d4.loss_mask: 0.8012, decode.d4.loss_dice: 1.2673, decode.d5.loss_cls: 0.8984, decode.d5.loss_mask: 0.7989, decode.d5.loss_dice: 1.2585, decode.d6.loss_cls: 0.8896, decode.d6.loss_mask: 0.7953, decode.d6.loss_dice: 1.2477, decode.d7.loss_cls: 0.8887, decode.d7.loss_mask: 0.7975, decode.d7.loss_dice: 1.2568, decode.d8.loss_cls: 0.8921, decode.d8.loss_mask: 0.8023, decode.d8.loss_dice: 1.2530, loss: 31.9875 2022-09-12 17:02:03,231 - mmseg - INFO - Iter [24100/80000] lr: 1.003e-06, eta: 1 day, 6:11:20, time: 1.856, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8430, decode.loss_mask: 0.7899, decode.loss_dice: 1.2353, decode.d0.loss_cls: 2.8103, decode.d0.loss_mask: 0.7882, decode.d0.loss_dice: 1.4279, decode.d1.loss_cls: 0.9140, decode.d1.loss_mask: 0.8156, decode.d1.loss_dice: 1.3146, decode.d2.loss_cls: 0.8652, decode.d2.loss_mask: 0.8031, decode.d2.loss_dice: 1.2652, decode.d3.loss_cls: 0.8543, decode.d3.loss_mask: 0.7958, decode.d3.loss_dice: 1.2445, decode.d4.loss_cls: 0.8554, decode.d4.loss_mask: 0.7882, decode.d4.loss_dice: 1.2418, decode.d5.loss_cls: 0.8424, decode.d5.loss_mask: 0.7867, decode.d5.loss_dice: 1.2347, decode.d6.loss_cls: 0.8441, decode.d6.loss_mask: 0.7853, decode.d6.loss_dice: 1.2257, decode.d7.loss_cls: 0.8369, decode.d7.loss_mask: 0.7918, decode.d7.loss_dice: 1.2277, decode.d8.loss_cls: 0.8408, decode.d8.loss_mask: 0.7901, decode.d8.loss_dice: 1.2334, loss: 31.0917 2022-09-12 17:03:36,024 - mmseg - INFO - Iter [24150/80000] lr: 1.002e-06, eta: 1 day, 6:09:33, time: 1.860, data_time: 0.021, memory: 42763, decode.loss_cls: 0.8868, decode.loss_mask: 0.8097, decode.loss_dice: 1.2535, decode.d0.loss_cls: 2.8741, decode.d0.loss_mask: 0.8042, decode.d0.loss_dice: 1.4436, decode.d1.loss_cls: 0.9638, decode.d1.loss_mask: 0.8411, decode.d1.loss_dice: 1.3403, decode.d2.loss_cls: 0.9209, decode.d2.loss_mask: 0.8244, decode.d2.loss_dice: 1.2878, decode.d3.loss_cls: 0.9109, decode.d3.loss_mask: 0.8126, decode.d3.loss_dice: 1.2730, decode.d4.loss_cls: 0.9083, decode.d4.loss_mask: 0.8108, decode.d4.loss_dice: 1.2632, decode.d5.loss_cls: 0.8980, decode.d5.loss_mask: 0.8046, decode.d5.loss_dice: 1.2518, decode.d6.loss_cls: 0.8951, decode.d6.loss_mask: 0.8068, decode.d6.loss_dice: 1.2491, decode.d7.loss_cls: 0.8922, decode.d7.loss_mask: 0.8067, decode.d7.loss_dice: 1.2515, decode.d8.loss_cls: 0.8952, decode.d8.loss_mask: 0.8087, decode.d8.loss_dice: 1.2487, loss: 32.0374 2022-09-12 17:05:08,094 - mmseg - INFO - Iter [24200/80000] lr: 1.001e-06, eta: 1 day, 6:07:44, time: 1.841, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8485, decode.loss_mask: 0.7866, decode.loss_dice: 1.2544, decode.d0.loss_cls: 2.8665, decode.d0.loss_mask: 0.7773, decode.d0.loss_dice: 1.4549, decode.d1.loss_cls: 0.9386, decode.d1.loss_mask: 0.8092, decode.d1.loss_dice: 1.3388, decode.d2.loss_cls: 0.8855, decode.d2.loss_mask: 0.7927, decode.d2.loss_dice: 1.2770, decode.d3.loss_cls: 0.8705, decode.d3.loss_mask: 0.7932, decode.d3.loss_dice: 1.2594, decode.d4.loss_cls: 0.8645, decode.d4.loss_mask: 0.7908, decode.d4.loss_dice: 1.2640, decode.d5.loss_cls: 0.8557, decode.d5.loss_mask: 0.7902, decode.d5.loss_dice: 1.2542, decode.d6.loss_cls: 0.8559, decode.d6.loss_mask: 0.7867, decode.d6.loss_dice: 1.2501, decode.d7.loss_cls: 0.8546, decode.d7.loss_mask: 0.7840, decode.d7.loss_dice: 1.2509, decode.d8.loss_cls: 0.8460, decode.d8.loss_mask: 0.7892, decode.d8.loss_dice: 1.2531, loss: 31.4429 2022-09-12 17:06:39,259 - mmseg - INFO - Iter [24250/80000] lr: 1.001e-06, eta: 1 day, 6:05:53, time: 1.824, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8704, decode.loss_mask: 0.8125, decode.loss_dice: 1.2498, decode.d0.loss_cls: 2.8881, decode.d0.loss_mask: 0.8156, decode.d0.loss_dice: 1.4439, decode.d1.loss_cls: 0.9357, decode.d1.loss_mask: 0.8371, decode.d1.loss_dice: 1.3381, decode.d2.loss_cls: 0.8910, decode.d2.loss_mask: 0.8208, decode.d2.loss_dice: 1.2897, decode.d3.loss_cls: 0.8755, decode.d3.loss_mask: 0.8162, decode.d3.loss_dice: 1.2683, decode.d4.loss_cls: 0.8722, decode.d4.loss_mask: 0.8135, decode.d4.loss_dice: 1.2720, decode.d5.loss_cls: 0.8714, decode.d5.loss_mask: 0.8119, decode.d5.loss_dice: 1.2642, decode.d6.loss_cls: 0.8687, decode.d6.loss_mask: 0.8116, decode.d6.loss_dice: 1.2421, decode.d7.loss_cls: 0.8683, decode.d7.loss_mask: 0.8134, decode.d7.loss_dice: 1.2496, decode.d8.loss_cls: 0.8653, decode.d8.loss_mask: 0.8129, decode.d8.loss_dice: 1.2481, loss: 31.8378 2022-09-12 17:08:12,365 - mmseg - INFO - Iter [24300/80000] lr: 9.997e-07, eta: 1 day, 6:04:06, time: 1.862, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8759, decode.loss_mask: 0.7979, decode.loss_dice: 1.2475, decode.d0.loss_cls: 2.8988, decode.d0.loss_mask: 0.7887, decode.d0.loss_dice: 1.4584, decode.d1.loss_cls: 0.9582, decode.d1.loss_mask: 0.8197, decode.d1.loss_dice: 1.3350, decode.d2.loss_cls: 0.8934, decode.d2.loss_mask: 0.8030, decode.d2.loss_dice: 1.2871, decode.d3.loss_cls: 0.8868, decode.d3.loss_mask: 0.7982, decode.d3.loss_dice: 1.2644, decode.d4.loss_cls: 0.8859, decode.d4.loss_mask: 0.7988, decode.d4.loss_dice: 1.2660, decode.d5.loss_cls: 0.8784, decode.d5.loss_mask: 0.7978, decode.d5.loss_dice: 1.2617, decode.d6.loss_cls: 0.8740, decode.d6.loss_mask: 0.7964, decode.d6.loss_dice: 1.2531, decode.d7.loss_cls: 0.8727, decode.d7.loss_mask: 0.7948, decode.d7.loss_dice: 1.2580, decode.d8.loss_cls: 0.8751, decode.d8.loss_mask: 0.7919, decode.d8.loss_dice: 1.2514, loss: 31.7690 2022-09-12 17:09:45,499 - mmseg - INFO - Iter [24350/80000] lr: 9.988e-07, eta: 1 day, 6:02:20, time: 1.863, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8544, decode.loss_mask: 0.7989, decode.loss_dice: 1.2410, decode.d0.loss_cls: 2.8603, decode.d0.loss_mask: 0.7943, decode.d0.loss_dice: 1.4316, decode.d1.loss_cls: 0.9292, decode.d1.loss_mask: 0.8305, decode.d1.loss_dice: 1.3184, decode.d2.loss_cls: 0.8800, decode.d2.loss_mask: 0.8155, decode.d2.loss_dice: 1.2721, decode.d3.loss_cls: 0.8677, decode.d3.loss_mask: 0.8059, decode.d3.loss_dice: 1.2456, decode.d4.loss_cls: 0.8740, decode.d4.loss_mask: 0.8033, decode.d4.loss_dice: 1.2524, decode.d5.loss_cls: 0.8606, decode.d5.loss_mask: 0.7984, decode.d5.loss_dice: 1.2417, decode.d6.loss_cls: 0.8564, decode.d6.loss_mask: 0.7978, decode.d6.loss_dice: 1.2396, decode.d7.loss_cls: 0.8588, decode.d7.loss_mask: 0.7935, decode.d7.loss_dice: 1.2316, decode.d8.loss_cls: 0.8546, decode.d8.loss_mask: 0.8016, decode.d8.loss_dice: 1.2396, loss: 31.4494 2022-09-12 17:11:18,838 - mmseg - INFO - Iter [24400/80000] lr: 9.979e-07, eta: 1 day, 6:00:34, time: 1.867, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8795, decode.loss_mask: 0.8025, decode.loss_dice: 1.2425, decode.d0.loss_cls: 2.8854, decode.d0.loss_mask: 0.7999, decode.d0.loss_dice: 1.4390, decode.d1.loss_cls: 0.9596, decode.d1.loss_mask: 0.8280, decode.d1.loss_dice: 1.3324, decode.d2.loss_cls: 0.9035, decode.d2.loss_mask: 0.8117, decode.d2.loss_dice: 1.2769, decode.d3.loss_cls: 0.8921, decode.d3.loss_mask: 0.8099, decode.d3.loss_dice: 1.2531, decode.d4.loss_cls: 0.8906, decode.d4.loss_mask: 0.8117, decode.d4.loss_dice: 1.2515, decode.d5.loss_cls: 0.8893, decode.d5.loss_mask: 0.8022, decode.d5.loss_dice: 1.2463, decode.d6.loss_cls: 0.8871, decode.d6.loss_mask: 0.8047, decode.d6.loss_dice: 1.2413, decode.d7.loss_cls: 0.8848, decode.d7.loss_mask: 0.8025, decode.d7.loss_dice: 1.2483, decode.d8.loss_cls: 0.8850, decode.d8.loss_mask: 0.8007, decode.d8.loss_dice: 1.2471, loss: 31.8090 2022-09-12 17:12:51,751 - mmseg - INFO - Iter [24450/80000] lr: 9.970e-07, eta: 1 day, 5:58:47, time: 1.858, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8655, decode.loss_mask: 0.7857, decode.loss_dice: 1.2351, decode.d0.loss_cls: 2.8628, decode.d0.loss_mask: 0.7804, decode.d0.loss_dice: 1.4440, decode.d1.loss_cls: 0.9381, decode.d1.loss_mask: 0.8122, decode.d1.loss_dice: 1.3255, decode.d2.loss_cls: 0.8795, decode.d2.loss_mask: 0.7956, decode.d2.loss_dice: 1.2777, decode.d3.loss_cls: 0.8802, decode.d3.loss_mask: 0.7902, decode.d3.loss_dice: 1.2506, decode.d4.loss_cls: 0.8818, decode.d4.loss_mask: 0.7843, decode.d4.loss_dice: 1.2456, decode.d5.loss_cls: 0.8663, decode.d5.loss_mask: 0.7840, decode.d5.loss_dice: 1.2384, decode.d6.loss_cls: 0.8640, decode.d6.loss_mask: 0.7822, decode.d6.loss_dice: 1.2260, decode.d7.loss_cls: 0.8652, decode.d7.loss_mask: 0.7836, decode.d7.loss_dice: 1.2260, decode.d8.loss_cls: 0.8619, decode.d8.loss_mask: 0.7824, decode.d8.loss_dice: 1.2292, loss: 31.3441 2022-09-12 17:14:24,851 - mmseg - INFO - Iter [24500/80000] lr: 9.961e-07, eta: 1 day, 5:57:01, time: 1.862, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8769, decode.loss_mask: 0.7980, decode.loss_dice: 1.2421, decode.d0.loss_cls: 2.8609, decode.d0.loss_mask: 0.7992, decode.d0.loss_dice: 1.4375, decode.d1.loss_cls: 0.9398, decode.d1.loss_mask: 0.8211, decode.d1.loss_dice: 1.3377, decode.d2.loss_cls: 0.8846, decode.d2.loss_mask: 0.8072, decode.d2.loss_dice: 1.2819, decode.d3.loss_cls: 0.8777, decode.d3.loss_mask: 0.8049, decode.d3.loss_dice: 1.2634, decode.d4.loss_cls: 0.8745, decode.d4.loss_mask: 0.8062, decode.d4.loss_dice: 1.2557, decode.d5.loss_cls: 0.8770, decode.d5.loss_mask: 0.7984, decode.d5.loss_dice: 1.2486, decode.d6.loss_cls: 0.8750, decode.d6.loss_mask: 0.7970, decode.d6.loss_dice: 1.2378, decode.d7.loss_cls: 0.8706, decode.d7.loss_mask: 0.7992, decode.d7.loss_dice: 1.2430, decode.d8.loss_cls: 0.8752, decode.d8.loss_mask: 0.7994, decode.d8.loss_dice: 1.2421, loss: 31.6327 2022-09-12 17:15:57,597 - mmseg - INFO - Iter [24550/80000] lr: 9.952e-07, eta: 1 day, 5:55:14, time: 1.855, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8685, decode.loss_mask: 0.8106, decode.loss_dice: 1.2896, decode.d0.loss_cls: 2.8659, decode.d0.loss_mask: 0.8140, decode.d0.loss_dice: 1.4956, decode.d1.loss_cls: 0.9599, decode.d1.loss_mask: 0.8358, decode.d1.loss_dice: 1.3831, decode.d2.loss_cls: 0.8993, decode.d2.loss_mask: 0.8225, decode.d2.loss_dice: 1.3327, decode.d3.loss_cls: 0.8881, decode.d3.loss_mask: 0.8211, decode.d3.loss_dice: 1.3038, decode.d4.loss_cls: 0.8861, decode.d4.loss_mask: 0.8202, decode.d4.loss_dice: 1.3053, decode.d5.loss_cls: 0.8705, decode.d5.loss_mask: 0.8206, decode.d5.loss_dice: 1.2985, decode.d6.loss_cls: 0.8686, decode.d6.loss_mask: 0.8146, decode.d6.loss_dice: 1.2842, decode.d7.loss_cls: 0.8798, decode.d7.loss_mask: 0.8047, decode.d7.loss_dice: 1.2851, decode.d8.loss_cls: 0.8705, decode.d8.loss_mask: 0.8103, decode.d8.loss_dice: 1.2908, loss: 32.3005 2022-09-12 17:17:31,649 - mmseg - INFO - Iter [24600/80000] lr: 9.943e-07, eta: 1 day, 5:53:30, time: 1.881, data_time: 0.017, memory: 42763, decode.loss_cls: 0.8403, decode.loss_mask: 0.7916, decode.loss_dice: 1.2060, decode.d0.loss_cls: 2.7919, decode.d0.loss_mask: 0.7770, decode.d0.loss_dice: 1.3965, decode.d1.loss_cls: 0.9163, decode.d1.loss_mask: 0.8163, decode.d1.loss_dice: 1.2909, decode.d2.loss_cls: 0.8672, decode.d2.loss_mask: 0.7999, decode.d2.loss_dice: 1.2397, decode.d3.loss_cls: 0.8579, decode.d3.loss_mask: 0.7948, decode.d3.loss_dice: 1.2224, decode.d4.loss_cls: 0.8515, decode.d4.loss_mask: 0.7969, decode.d4.loss_dice: 1.2214, decode.d5.loss_cls: 0.8481, decode.d5.loss_mask: 0.7913, decode.d5.loss_dice: 1.2078, decode.d6.loss_cls: 0.8489, decode.d6.loss_mask: 0.7847, decode.d6.loss_dice: 1.2060, decode.d7.loss_cls: 0.8466, decode.d7.loss_mask: 0.7899, decode.d7.loss_dice: 1.2111, decode.d8.loss_cls: 0.8441, decode.d8.loss_mask: 0.7954, decode.d8.loss_dice: 1.2032, loss: 30.8555 2022-09-12 17:19:03,655 - mmseg - INFO - Iter [24650/80000] lr: 9.934e-07, eta: 1 day, 5:51:41, time: 1.840, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8397, decode.loss_mask: 0.7908, decode.loss_dice: 1.2561, decode.d0.loss_cls: 2.8814, decode.d0.loss_mask: 0.7901, decode.d0.loss_dice: 1.4458, decode.d1.loss_cls: 0.9272, decode.d1.loss_mask: 0.8122, decode.d1.loss_dice: 1.3373, decode.d2.loss_cls: 0.8663, decode.d2.loss_mask: 0.8070, decode.d2.loss_dice: 1.2992, decode.d3.loss_cls: 0.8554, decode.d3.loss_mask: 0.7958, decode.d3.loss_dice: 1.2671, decode.d4.loss_cls: 0.8460, decode.d4.loss_mask: 0.7935, decode.d4.loss_dice: 1.2656, decode.d5.loss_cls: 0.8366, decode.d5.loss_mask: 0.7909, decode.d5.loss_dice: 1.2577, decode.d6.loss_cls: 0.8389, decode.d6.loss_mask: 0.7913, decode.d6.loss_dice: 1.2518, decode.d7.loss_cls: 0.8365, decode.d7.loss_mask: 0.7960, decode.d7.loss_dice: 1.2555, decode.d8.loss_cls: 0.8330, decode.d8.loss_mask: 0.7921, decode.d8.loss_dice: 1.2571, loss: 31.4134 2022-09-12 17:20:36,397 - mmseg - INFO - Iter [24700/80000] lr: 9.925e-07, eta: 1 day, 5:49:54, time: 1.855, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8713, decode.loss_mask: 0.7971, decode.loss_dice: 1.2438, decode.d0.loss_cls: 2.8713, decode.d0.loss_mask: 0.7968, decode.d0.loss_dice: 1.4502, decode.d1.loss_cls: 0.9426, decode.d1.loss_mask: 0.8228, decode.d1.loss_dice: 1.3430, decode.d2.loss_cls: 0.8903, decode.d2.loss_mask: 0.8086, decode.d2.loss_dice: 1.2822, decode.d3.loss_cls: 0.8804, decode.d3.loss_mask: 0.8003, decode.d3.loss_dice: 1.2553, decode.d4.loss_cls: 0.8722, decode.d4.loss_mask: 0.8002, decode.d4.loss_dice: 1.2541, decode.d5.loss_cls: 0.8685, decode.d5.loss_mask: 0.7999, decode.d5.loss_dice: 1.2510, decode.d6.loss_cls: 0.8665, decode.d6.loss_mask: 0.7960, decode.d6.loss_dice: 1.2475, decode.d7.loss_cls: 0.8695, decode.d7.loss_mask: 0.7952, decode.d7.loss_dice: 1.2413, decode.d8.loss_cls: 0.8637, decode.d8.loss_mask: 0.7962, decode.d8.loss_dice: 1.2503, loss: 31.6281 2022-09-12 17:22:09,450 - mmseg - INFO - Iter [24750/80000] lr: 9.916e-07, eta: 1 day, 5:48:08, time: 1.861, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8388, decode.loss_mask: 0.7943, decode.loss_dice: 1.2450, decode.d0.loss_cls: 2.7856, decode.d0.loss_mask: 0.7857, decode.d0.loss_dice: 1.4251, decode.d1.loss_cls: 0.9122, decode.d1.loss_mask: 0.8248, decode.d1.loss_dice: 1.3283, decode.d2.loss_cls: 0.8698, decode.d2.loss_mask: 0.8054, decode.d2.loss_dice: 1.2674, decode.d3.loss_cls: 0.8546, decode.d3.loss_mask: 0.7991, decode.d3.loss_dice: 1.2545, decode.d4.loss_cls: 0.8491, decode.d4.loss_mask: 0.8021, decode.d4.loss_dice: 1.2420, decode.d5.loss_cls: 0.8501, decode.d5.loss_mask: 0.7935, decode.d5.loss_dice: 1.2405, decode.d6.loss_cls: 0.8458, decode.d6.loss_mask: 0.7954, decode.d6.loss_dice: 1.2377, decode.d7.loss_cls: 0.8404, decode.d7.loss_mask: 0.7949, decode.d7.loss_dice: 1.2382, decode.d8.loss_cls: 0.8421, decode.d8.loss_mask: 0.7928, decode.d8.loss_dice: 1.2402, loss: 31.1953 2022-09-12 17:23:41,605 - mmseg - INFO - Iter [24800/80000] lr: 9.907e-07, eta: 1 day, 5:46:20, time: 1.843, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8952, decode.loss_mask: 0.7971, decode.loss_dice: 1.2413, decode.d0.loss_cls: 2.8956, decode.d0.loss_mask: 0.8056, decode.d0.loss_dice: 1.4376, decode.d1.loss_cls: 0.9710, decode.d1.loss_mask: 0.8279, decode.d1.loss_dice: 1.3318, decode.d2.loss_cls: 0.9111, decode.d2.loss_mask: 0.8128, decode.d2.loss_dice: 1.2754, decode.d3.loss_cls: 0.9036, decode.d3.loss_mask: 0.8074, decode.d3.loss_dice: 1.2622, decode.d4.loss_cls: 0.9111, decode.d4.loss_mask: 0.8010, decode.d4.loss_dice: 1.2550, decode.d5.loss_cls: 0.8985, decode.d5.loss_mask: 0.8044, decode.d5.loss_dice: 1.2537, decode.d6.loss_cls: 0.8973, decode.d6.loss_mask: 0.7994, decode.d6.loss_dice: 1.2423, decode.d7.loss_cls: 0.8954, decode.d7.loss_mask: 0.8018, decode.d7.loss_dice: 1.2400, decode.d8.loss_cls: 0.8877, decode.d8.loss_mask: 0.8010, decode.d8.loss_dice: 1.2406, loss: 31.9050 2022-09-12 17:25:13,290 - mmseg - INFO - Iter [24850/80000] lr: 9.898e-07, eta: 1 day, 5:44:31, time: 1.834, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8569, decode.loss_mask: 0.8328, decode.loss_dice: 1.2438, decode.d0.loss_cls: 2.8513, decode.d0.loss_mask: 0.8180, decode.d0.loss_dice: 1.4283, decode.d1.loss_cls: 0.9445, decode.d1.loss_mask: 0.8459, decode.d1.loss_dice: 1.3241, decode.d2.loss_cls: 0.8952, decode.d2.loss_mask: 0.8294, decode.d2.loss_dice: 1.2700, decode.d3.loss_cls: 0.8757, decode.d3.loss_mask: 0.8240, decode.d3.loss_dice: 1.2668, decode.d4.loss_cls: 0.8657, decode.d4.loss_mask: 0.8230, decode.d4.loss_dice: 1.2545, decode.d5.loss_cls: 0.8665, decode.d5.loss_mask: 0.8242, decode.d5.loss_dice: 1.2594, decode.d6.loss_cls: 0.8694, decode.d6.loss_mask: 0.8259, decode.d6.loss_dice: 1.2488, decode.d7.loss_cls: 0.8651, decode.d7.loss_mask: 0.8266, decode.d7.loss_dice: 1.2437, decode.d8.loss_cls: 0.8605, decode.d8.loss_mask: 0.8232, decode.d8.loss_dice: 1.2482, loss: 31.8112 2022-09-12 17:26:47,147 - mmseg - INFO - Iter [24900/80000] lr: 9.889e-07, eta: 1 day, 5:42:47, time: 1.877, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8682, decode.loss_mask: 0.7735, decode.loss_dice: 1.2292, decode.d0.loss_cls: 2.8411, decode.d0.loss_mask: 0.7799, decode.d0.loss_dice: 1.4313, decode.d1.loss_cls: 0.9391, decode.d1.loss_mask: 0.8041, decode.d1.loss_dice: 1.3220, decode.d2.loss_cls: 0.8856, decode.d2.loss_mask: 0.7885, decode.d2.loss_dice: 1.2653, decode.d3.loss_cls: 0.8858, decode.d3.loss_mask: 0.7823, decode.d3.loss_dice: 1.2436, decode.d4.loss_cls: 0.8771, decode.d4.loss_mask: 0.7790, decode.d4.loss_dice: 1.2420, decode.d5.loss_cls: 0.8712, decode.d5.loss_mask: 0.7739, decode.d5.loss_dice: 1.2428, decode.d6.loss_cls: 0.8652, decode.d6.loss_mask: 0.7710, decode.d6.loss_dice: 1.2278, decode.d7.loss_cls: 0.8667, decode.d7.loss_mask: 0.7765, decode.d7.loss_dice: 1.2288, decode.d8.loss_cls: 0.8657, decode.d8.loss_mask: 0.7715, decode.d8.loss_dice: 1.2317, loss: 31.2305 2022-09-12 17:28:21,448 - mmseg - INFO - Iter [24950/80000] lr: 9.880e-07, eta: 1 day, 5:41:04, time: 1.886, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8386, decode.loss_mask: 0.8015, decode.loss_dice: 1.2315, decode.d0.loss_cls: 2.8246, decode.d0.loss_mask: 0.7978, decode.d0.loss_dice: 1.4405, decode.d1.loss_cls: 0.9189, decode.d1.loss_mask: 0.8240, decode.d1.loss_dice: 1.3188, decode.d2.loss_cls: 0.8678, decode.d2.loss_mask: 0.8132, decode.d2.loss_dice: 1.2619, decode.d3.loss_cls: 0.8630, decode.d3.loss_mask: 0.8052, decode.d3.loss_dice: 1.2451, decode.d4.loss_cls: 0.8548, decode.d4.loss_mask: 0.8056, decode.d4.loss_dice: 1.2442, decode.d5.loss_cls: 0.8442, decode.d5.loss_mask: 0.8025, decode.d5.loss_dice: 1.2419, decode.d6.loss_cls: 0.8518, decode.d6.loss_mask: 0.7992, decode.d6.loss_dice: 1.2335, decode.d7.loss_cls: 0.8490, decode.d7.loss_mask: 0.7957, decode.d7.loss_dice: 1.2309, decode.d8.loss_cls: 0.8338, decode.d8.loss_mask: 0.8013, decode.d8.loss_dice: 1.2382, loss: 31.2790 2022-09-12 17:29:53,633 - mmseg - INFO - Saving checkpoint at 25000 iterations 2022-09-12 17:30:23,149 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 17:30:23,153 - mmseg - INFO - Iter [25000/80000] lr: 9.871e-07, eta: 1 day, 5:40:21, time: 2.432, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8633, decode.loss_mask: 0.8003, decode.loss_dice: 1.2251, decode.d0.loss_cls: 2.8649, decode.d0.loss_mask: 0.7977, decode.d0.loss_dice: 1.4324, decode.d1.loss_cls: 0.9459, decode.d1.loss_mask: 0.8291, decode.d1.loss_dice: 1.3197, decode.d2.loss_cls: 0.8904, decode.d2.loss_mask: 0.8120, decode.d2.loss_dice: 1.2647, decode.d3.loss_cls: 0.8754, decode.d3.loss_mask: 0.8100, decode.d3.loss_dice: 1.2595, decode.d4.loss_cls: 0.8736, decode.d4.loss_mask: 0.8121, decode.d4.loss_dice: 1.2473, decode.d5.loss_cls: 0.8693, decode.d5.loss_mask: 0.8066, decode.d5.loss_dice: 1.2405, decode.d6.loss_cls: 0.8656, decode.d6.loss_mask: 0.8016, decode.d6.loss_dice: 1.2200, decode.d7.loss_cls: 0.8628, decode.d7.loss_mask: 0.8068, decode.d7.loss_dice: 1.2287, decode.d8.loss_cls: 0.8569, decode.d8.loss_mask: 0.8036, decode.d8.loss_dice: 1.2269, loss: 31.5128 2022-09-12 17:31:56,701 - mmseg - INFO - Iter [25050/80000] lr: 9.862e-07, eta: 1 day, 5:38:36, time: 1.873, data_time: 0.018, memory: 42763, decode.loss_cls: 0.8662, decode.loss_mask: 0.7802, decode.loss_dice: 1.2263, decode.d0.loss_cls: 2.8855, decode.d0.loss_mask: 0.7661, decode.d0.loss_dice: 1.4473, decode.d1.loss_cls: 0.9576, decode.d1.loss_mask: 0.8002, decode.d1.loss_dice: 1.3165, decode.d2.loss_cls: 0.8913, decode.d2.loss_mask: 0.7845, decode.d2.loss_dice: 1.2629, decode.d3.loss_cls: 0.8793, decode.d3.loss_mask: 0.7837, decode.d3.loss_dice: 1.2478, decode.d4.loss_cls: 0.8760, decode.d4.loss_mask: 0.7765, decode.d4.loss_dice: 1.2430, decode.d5.loss_cls: 0.8716, decode.d5.loss_mask: 0.7738, decode.d5.loss_dice: 1.2311, decode.d6.loss_cls: 0.8650, decode.d6.loss_mask: 0.7709, decode.d6.loss_dice: 1.2218, decode.d7.loss_cls: 0.8587, decode.d7.loss_mask: 0.7711, decode.d7.loss_dice: 1.2307, decode.d8.loss_cls: 0.8607, decode.d8.loss_mask: 0.7790, decode.d8.loss_dice: 1.2312, loss: 31.2564 2022-09-12 17:33:28,930 - mmseg - INFO - Iter [25100/80000] lr: 9.853e-07, eta: 1 day, 5:36:48, time: 1.845, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8945, decode.loss_mask: 0.7864, decode.loss_dice: 1.2389, decode.d0.loss_cls: 2.9287, decode.d0.loss_mask: 0.7862, decode.d0.loss_dice: 1.4594, decode.d1.loss_cls: 0.9777, decode.d1.loss_mask: 0.8159, decode.d1.loss_dice: 1.3481, decode.d2.loss_cls: 0.9274, decode.d2.loss_mask: 0.7972, decode.d2.loss_dice: 1.2833, decode.d3.loss_cls: 0.9105, decode.d3.loss_mask: 0.7988, decode.d3.loss_dice: 1.2660, decode.d4.loss_cls: 0.9122, decode.d4.loss_mask: 0.7940, decode.d4.loss_dice: 1.2538, decode.d5.loss_cls: 0.9008, decode.d5.loss_mask: 0.7979, decode.d5.loss_dice: 1.2484, decode.d6.loss_cls: 0.8969, decode.d6.loss_mask: 0.7891, decode.d6.loss_dice: 1.2368, decode.d7.loss_cls: 0.8887, decode.d7.loss_mask: 0.7914, decode.d7.loss_dice: 1.2366, decode.d8.loss_cls: 0.8856, decode.d8.loss_mask: 0.7910, decode.d8.loss_dice: 1.2327, loss: 31.8747 2022-09-12 17:35:02,305 - mmseg - INFO - Iter [25150/80000] lr: 9.844e-07, eta: 1 day, 5:35:03, time: 1.868, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8716, decode.loss_mask: 0.7981, decode.loss_dice: 1.2270, decode.d0.loss_cls: 2.8666, decode.d0.loss_mask: 0.7886, decode.d0.loss_dice: 1.4172, decode.d1.loss_cls: 0.9423, decode.d1.loss_mask: 0.8193, decode.d1.loss_dice: 1.3015, decode.d2.loss_cls: 0.8881, decode.d2.loss_mask: 0.8063, decode.d2.loss_dice: 1.2544, decode.d3.loss_cls: 0.8758, decode.d3.loss_mask: 0.7979, decode.d3.loss_dice: 1.2376, decode.d4.loss_cls: 0.8795, decode.d4.loss_mask: 0.7988, decode.d4.loss_dice: 1.2373, decode.d5.loss_cls: 0.8702, decode.d5.loss_mask: 0.7960, decode.d5.loss_dice: 1.2274, decode.d6.loss_cls: 0.8713, decode.d6.loss_mask: 0.7909, decode.d6.loss_dice: 1.2211, decode.d7.loss_cls: 0.8700, decode.d7.loss_mask: 0.7912, decode.d7.loss_dice: 1.2216, decode.d8.loss_cls: 0.8685, decode.d8.loss_mask: 0.7945, decode.d8.loss_dice: 1.2246, loss: 31.3551 2022-09-12 17:36:35,613 - mmseg - INFO - Iter [25200/80000] lr: 9.835e-07, eta: 1 day, 5:33:17, time: 1.864, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8374, decode.loss_mask: 0.8055, decode.loss_dice: 1.2446, decode.d0.loss_cls: 2.8294, decode.d0.loss_mask: 0.7891, decode.d0.loss_dice: 1.4304, decode.d1.loss_cls: 0.9051, decode.d1.loss_mask: 0.8240, decode.d1.loss_dice: 1.3193, decode.d2.loss_cls: 0.8597, decode.d2.loss_mask: 0.8080, decode.d2.loss_dice: 1.2763, decode.d3.loss_cls: 0.8475, decode.d3.loss_mask: 0.8059, decode.d3.loss_dice: 1.2613, decode.d4.loss_cls: 0.8436, decode.d4.loss_mask: 0.8076, decode.d4.loss_dice: 1.2555, decode.d5.loss_cls: 0.8400, decode.d5.loss_mask: 0.8055, decode.d5.loss_dice: 1.2519, decode.d6.loss_cls: 0.8307, decode.d6.loss_mask: 0.8057, decode.d6.loss_dice: 1.2417, decode.d7.loss_cls: 0.8317, decode.d7.loss_mask: 0.8075, decode.d7.loss_dice: 1.2456, decode.d8.loss_cls: 0.8291, decode.d8.loss_mask: 0.8064, decode.d8.loss_dice: 1.2386, loss: 31.2844 2022-09-12 17:38:08,024 - mmseg - INFO - Iter [25250/80000] lr: 9.826e-07, eta: 1 day, 5:31:31, time: 1.850, data_time: 0.017, memory: 42763, decode.loss_cls: 0.8682, decode.loss_mask: 0.7998, decode.loss_dice: 1.2424, decode.d0.loss_cls: 2.8773, decode.d0.loss_mask: 0.7972, decode.d0.loss_dice: 1.4499, decode.d1.loss_cls: 0.9584, decode.d1.loss_mask: 0.8216, decode.d1.loss_dice: 1.3273, decode.d2.loss_cls: 0.8914, decode.d2.loss_mask: 0.8064, decode.d2.loss_dice: 1.2837, decode.d3.loss_cls: 0.8837, decode.d3.loss_mask: 0.7991, decode.d3.loss_dice: 1.2603, decode.d4.loss_cls: 0.8860, decode.d4.loss_mask: 0.7970, decode.d4.loss_dice: 1.2576, decode.d5.loss_cls: 0.8807, decode.d5.loss_mask: 0.7976, decode.d5.loss_dice: 1.2491, decode.d6.loss_cls: 0.8676, decode.d6.loss_mask: 0.8010, decode.d6.loss_dice: 1.2407, decode.d7.loss_cls: 0.8734, decode.d7.loss_mask: 0.7956, decode.d7.loss_dice: 1.2434, decode.d8.loss_cls: 0.8628, decode.d8.loss_mask: 0.7955, decode.d8.loss_dice: 1.2474, loss: 31.6619 2022-09-12 17:39:39,710 - mmseg - INFO - Iter [25300/80000] lr: 9.817e-07, eta: 1 day, 5:29:42, time: 1.834, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8770, decode.loss_mask: 0.8073, decode.loss_dice: 1.2500, decode.d0.loss_cls: 2.8819, decode.d0.loss_mask: 0.8127, decode.d0.loss_dice: 1.4414, decode.d1.loss_cls: 0.9584, decode.d1.loss_mask: 0.8322, decode.d1.loss_dice: 1.3307, decode.d2.loss_cls: 0.8975, decode.d2.loss_mask: 0.8193, decode.d2.loss_dice: 1.2788, decode.d3.loss_cls: 0.8883, decode.d3.loss_mask: 0.8099, decode.d3.loss_dice: 1.2534, decode.d4.loss_cls: 0.8920, decode.d4.loss_mask: 0.8114, decode.d4.loss_dice: 1.2556, decode.d5.loss_cls: 0.8926, decode.d5.loss_mask: 0.8053, decode.d5.loss_dice: 1.2437, decode.d6.loss_cls: 0.8817, decode.d6.loss_mask: 0.8050, decode.d6.loss_dice: 1.2362, decode.d7.loss_cls: 0.8790, decode.d7.loss_mask: 0.8060, decode.d7.loss_dice: 1.2436, decode.d8.loss_cls: 0.8759, decode.d8.loss_mask: 0.8074, decode.d8.loss_dice: 1.2437, loss: 31.8179 2022-09-12 17:41:12,637 - mmseg - INFO - Iter [25350/80000] lr: 9.808e-07, eta: 1 day, 5:27:56, time: 1.858, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8624, decode.loss_mask: 0.7836, decode.loss_dice: 1.2338, decode.d0.loss_cls: 2.8555, decode.d0.loss_mask: 0.7840, decode.d0.loss_dice: 1.4414, decode.d1.loss_cls: 0.9439, decode.d1.loss_mask: 0.8116, decode.d1.loss_dice: 1.3230, decode.d2.loss_cls: 0.8895, decode.d2.loss_mask: 0.7975, decode.d2.loss_dice: 1.2748, decode.d3.loss_cls: 0.8761, decode.d3.loss_mask: 0.7878, decode.d3.loss_dice: 1.2497, decode.d4.loss_cls: 0.8722, decode.d4.loss_mask: 0.7823, decode.d4.loss_dice: 1.2506, decode.d5.loss_cls: 0.8775, decode.d5.loss_mask: 0.7830, decode.d5.loss_dice: 1.2378, decode.d6.loss_cls: 0.8701, decode.d6.loss_mask: 0.7822, decode.d6.loss_dice: 1.2253, decode.d7.loss_cls: 0.8599, decode.d7.loss_mask: 0.7863, decode.d7.loss_dice: 1.2342, decode.d8.loss_cls: 0.8615, decode.d8.loss_mask: 0.7853, decode.d8.loss_dice: 1.2343, loss: 31.3572 2022-09-12 17:42:46,588 - mmseg - INFO - Iter [25400/80000] lr: 9.799e-07, eta: 1 day, 5:26:12, time: 1.879, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8561, decode.loss_mask: 0.7905, decode.loss_dice: 1.2464, decode.d0.loss_cls: 2.8566, decode.d0.loss_mask: 0.7852, decode.d0.loss_dice: 1.4380, decode.d1.loss_cls: 0.9395, decode.d1.loss_mask: 0.8134, decode.d1.loss_dice: 1.3291, decode.d2.loss_cls: 0.8898, decode.d2.loss_mask: 0.7945, decode.d2.loss_dice: 1.2856, decode.d3.loss_cls: 0.8734, decode.d3.loss_mask: 0.7934, decode.d3.loss_dice: 1.2638, decode.d4.loss_cls: 0.8750, decode.d4.loss_mask: 0.7930, decode.d4.loss_dice: 1.2573, decode.d5.loss_cls: 0.8605, decode.d5.loss_mask: 0.7914, decode.d5.loss_dice: 1.2478, decode.d6.loss_cls: 0.8633, decode.d6.loss_mask: 0.7903, decode.d6.loss_dice: 1.2439, decode.d7.loss_cls: 0.8558, decode.d7.loss_mask: 0.7895, decode.d7.loss_dice: 1.2497, decode.d8.loss_cls: 0.8619, decode.d8.loss_mask: 0.7896, decode.d8.loss_dice: 1.2379, loss: 31.4620 2022-09-12 17:44:19,126 - mmseg - INFO - Iter [25450/80000] lr: 9.791e-07, eta: 1 day, 5:24:25, time: 1.851, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8711, decode.loss_mask: 0.7820, decode.loss_dice: 1.2115, decode.d0.loss_cls: 2.8330, decode.d0.loss_mask: 0.7874, decode.d0.loss_dice: 1.4185, decode.d1.loss_cls: 0.9489, decode.d1.loss_mask: 0.8139, decode.d1.loss_dice: 1.3046, decode.d2.loss_cls: 0.8928, decode.d2.loss_mask: 0.7935, decode.d2.loss_dice: 1.2534, decode.d3.loss_cls: 0.8853, decode.d3.loss_mask: 0.7881, decode.d3.loss_dice: 1.2284, decode.d4.loss_cls: 0.8846, decode.d4.loss_mask: 0.7805, decode.d4.loss_dice: 1.2254, decode.d5.loss_cls: 0.8757, decode.d5.loss_mask: 0.7823, decode.d5.loss_dice: 1.2168, decode.d6.loss_cls: 0.8662, decode.d6.loss_mask: 0.7811, decode.d6.loss_dice: 1.2145, decode.d7.loss_cls: 0.8656, decode.d7.loss_mask: 0.7765, decode.d7.loss_dice: 1.2166, decode.d8.loss_cls: 0.8699, decode.d8.loss_mask: 0.7781, decode.d8.loss_dice: 1.2112, loss: 31.1575 2022-09-12 17:45:50,739 - mmseg - INFO - Iter [25500/80000] lr: 9.782e-07, eta: 1 day, 5:22:37, time: 1.832, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8544, decode.loss_mask: 0.8118, decode.loss_dice: 1.2492, decode.d0.loss_cls: 2.7989, decode.d0.loss_mask: 0.8161, decode.d0.loss_dice: 1.4471, decode.d1.loss_cls: 0.9372, decode.d1.loss_mask: 0.8463, decode.d1.loss_dice: 1.3396, decode.d2.loss_cls: 0.8880, decode.d2.loss_mask: 0.8241, decode.d2.loss_dice: 1.2884, decode.d3.loss_cls: 0.8713, decode.d3.loss_mask: 0.8204, decode.d3.loss_dice: 1.2700, decode.d4.loss_cls: 0.8658, decode.d4.loss_mask: 0.8157, decode.d4.loss_dice: 1.2596, decode.d5.loss_cls: 0.8622, decode.d5.loss_mask: 0.8126, decode.d5.loss_dice: 1.2554, decode.d6.loss_cls: 0.8548, decode.d6.loss_mask: 0.8125, decode.d6.loss_dice: 1.2496, decode.d7.loss_cls: 0.8470, decode.d7.loss_mask: 0.8137, decode.d7.loss_dice: 1.2543, decode.d8.loss_cls: 0.8458, decode.d8.loss_mask: 0.8116, decode.d8.loss_dice: 1.2500, loss: 31.6734 2022-09-12 17:47:23,795 - mmseg - INFO - Iter [25550/80000] lr: 9.773e-07, eta: 1 day, 5:20:51, time: 1.861, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8535, decode.loss_mask: 0.7922, decode.loss_dice: 1.2366, decode.d0.loss_cls: 2.8403, decode.d0.loss_mask: 0.7901, decode.d0.loss_dice: 1.4365, decode.d1.loss_cls: 0.9270, decode.d1.loss_mask: 0.8274, decode.d1.loss_dice: 1.3333, decode.d2.loss_cls: 0.8802, decode.d2.loss_mask: 0.8153, decode.d2.loss_dice: 1.2814, decode.d3.loss_cls: 0.8564, decode.d3.loss_mask: 0.8081, decode.d3.loss_dice: 1.2630, decode.d4.loss_cls: 0.8604, decode.d4.loss_mask: 0.8038, decode.d4.loss_dice: 1.2557, decode.d5.loss_cls: 0.8566, decode.d5.loss_mask: 0.8035, decode.d5.loss_dice: 1.2516, decode.d6.loss_cls: 0.8614, decode.d6.loss_mask: 0.7931, decode.d6.loss_dice: 1.2435, decode.d7.loss_cls: 0.8484, decode.d7.loss_mask: 0.7978, decode.d7.loss_dice: 1.2385, decode.d8.loss_cls: 0.8536, decode.d8.loss_mask: 0.7983, decode.d8.loss_dice: 1.2427, loss: 31.4502 2022-09-12 17:48:57,240 - mmseg - INFO - Iter [25600/80000] lr: 9.764e-07, eta: 1 day, 5:19:07, time: 1.869, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8521, decode.loss_mask: 0.7968, decode.loss_dice: 1.2369, decode.d0.loss_cls: 2.7973, decode.d0.loss_mask: 0.7869, decode.d0.loss_dice: 1.4266, decode.d1.loss_cls: 0.9267, decode.d1.loss_mask: 0.8238, decode.d1.loss_dice: 1.3204, decode.d2.loss_cls: 0.8760, decode.d2.loss_mask: 0.8020, decode.d2.loss_dice: 1.2689, decode.d3.loss_cls: 0.8669, decode.d3.loss_mask: 0.7957, decode.d3.loss_dice: 1.2541, decode.d4.loss_cls: 0.8680, decode.d4.loss_mask: 0.7976, decode.d4.loss_dice: 1.2448, decode.d5.loss_cls: 0.8604, decode.d5.loss_mask: 0.7921, decode.d5.loss_dice: 1.2416, decode.d6.loss_cls: 0.8491, decode.d6.loss_mask: 0.7976, decode.d6.loss_dice: 1.2322, decode.d7.loss_cls: 0.8502, decode.d7.loss_mask: 0.7966, decode.d7.loss_dice: 1.2354, decode.d8.loss_cls: 0.8516, decode.d8.loss_mask: 0.7977, decode.d8.loss_dice: 1.2378, loss: 31.2839 2022-09-12 17:50:29,947 - mmseg - INFO - Iter [25650/80000] lr: 9.755e-07, eta: 1 day, 5:17:21, time: 1.854, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8795, decode.loss_mask: 0.8067, decode.loss_dice: 1.2678, decode.d0.loss_cls: 2.8859, decode.d0.loss_mask: 0.8029, decode.d0.loss_dice: 1.4645, decode.d1.loss_cls: 0.9450, decode.d1.loss_mask: 0.8384, decode.d1.loss_dice: 1.3572, decode.d2.loss_cls: 0.8943, decode.d2.loss_mask: 0.8120, decode.d2.loss_dice: 1.3065, decode.d3.loss_cls: 0.8889, decode.d3.loss_mask: 0.8105, decode.d3.loss_dice: 1.2822, decode.d4.loss_cls: 0.8898, decode.d4.loss_mask: 0.8067, decode.d4.loss_dice: 1.2817, decode.d5.loss_cls: 0.8845, decode.d5.loss_mask: 0.8057, decode.d5.loss_dice: 1.2709, decode.d6.loss_cls: 0.8771, decode.d6.loss_mask: 0.8019, decode.d6.loss_dice: 1.2575, decode.d7.loss_cls: 0.8782, decode.d7.loss_mask: 0.8048, decode.d7.loss_dice: 1.2633, decode.d8.loss_cls: 0.8759, decode.d8.loss_mask: 0.8007, decode.d8.loss_dice: 1.2671, loss: 32.0080 2022-09-12 17:52:02,327 - mmseg - INFO - Iter [25700/80000] lr: 9.746e-07, eta: 1 day, 5:15:34, time: 1.848, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8802, decode.loss_mask: 0.7989, decode.loss_dice: 1.2437, decode.d0.loss_cls: 2.8170, decode.d0.loss_mask: 0.8030, decode.d0.loss_dice: 1.4408, decode.d1.loss_cls: 0.9497, decode.d1.loss_mask: 0.8327, decode.d1.loss_dice: 1.3350, decode.d2.loss_cls: 0.9003, decode.d2.loss_mask: 0.8126, decode.d2.loss_dice: 1.2886, decode.d3.loss_cls: 0.8860, decode.d3.loss_mask: 0.8066, decode.d3.loss_dice: 1.2610, decode.d4.loss_cls: 0.8851, decode.d4.loss_mask: 0.8075, decode.d4.loss_dice: 1.2519, decode.d5.loss_cls: 0.8780, decode.d5.loss_mask: 0.8011, decode.d5.loss_dice: 1.2512, decode.d6.loss_cls: 0.8790, decode.d6.loss_mask: 0.7999, decode.d6.loss_dice: 1.2474, decode.d7.loss_cls: 0.8791, decode.d7.loss_mask: 0.7988, decode.d7.loss_dice: 1.2537, decode.d8.loss_cls: 0.8732, decode.d8.loss_mask: 0.8010, decode.d8.loss_dice: 1.2545, loss: 31.7175 2022-09-12 17:53:35,439 - mmseg - INFO - Iter [25750/80000] lr: 9.737e-07, eta: 1 day, 5:13:49, time: 1.862, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8356, decode.loss_mask: 0.7961, decode.loss_dice: 1.2516, decode.d0.loss_cls: 2.8175, decode.d0.loss_mask: 0.7812, decode.d0.loss_dice: 1.4380, decode.d1.loss_cls: 0.9223, decode.d1.loss_mask: 0.8231, decode.d1.loss_dice: 1.3343, decode.d2.loss_cls: 0.8642, decode.d2.loss_mask: 0.8054, decode.d2.loss_dice: 1.2854, decode.d3.loss_cls: 0.8529, decode.d3.loss_mask: 0.7979, decode.d3.loss_dice: 1.2630, decode.d4.loss_cls: 0.8553, decode.d4.loss_mask: 0.7902, decode.d4.loss_dice: 1.2592, decode.d5.loss_cls: 0.8472, decode.d5.loss_mask: 0.7929, decode.d5.loss_dice: 1.2528, decode.d6.loss_cls: 0.8424, decode.d6.loss_mask: 0.7928, decode.d6.loss_dice: 1.2453, decode.d7.loss_cls: 0.8321, decode.d7.loss_mask: 0.8019, decode.d7.loss_dice: 1.2508, decode.d8.loss_cls: 0.8369, decode.d8.loss_mask: 0.7953, decode.d8.loss_dice: 1.2471, loss: 31.3106 2022-09-12 17:55:06,939 - mmseg - INFO - Iter [25800/80000] lr: 9.728e-07, eta: 1 day, 5:12:00, time: 1.830, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8330, decode.loss_mask: 0.7794, decode.loss_dice: 1.2033, decode.d0.loss_cls: 2.8010, decode.d0.loss_mask: 0.7822, decode.d0.loss_dice: 1.4068, decode.d1.loss_cls: 0.9074, decode.d1.loss_mask: 0.7985, decode.d1.loss_dice: 1.2934, decode.d2.loss_cls: 0.8584, decode.d2.loss_mask: 0.7867, decode.d2.loss_dice: 1.2474, decode.d3.loss_cls: 0.8512, decode.d3.loss_mask: 0.7847, decode.d3.loss_dice: 1.2216, decode.d4.loss_cls: 0.8508, decode.d4.loss_mask: 0.7761, decode.d4.loss_dice: 1.2209, decode.d5.loss_cls: 0.8400, decode.d5.loss_mask: 0.7808, decode.d5.loss_dice: 1.2164, decode.d6.loss_cls: 0.8359, decode.d6.loss_mask: 0.7833, decode.d6.loss_dice: 1.2085, decode.d7.loss_cls: 0.8390, decode.d7.loss_mask: 0.7735, decode.d7.loss_dice: 1.2109, decode.d8.loss_cls: 0.8308, decode.d8.loss_mask: 0.7779, decode.d8.loss_dice: 1.2039, loss: 30.7036 2022-09-12 17:56:40,677 - mmseg - INFO - Iter [25850/80000] lr: 9.719e-07, eta: 1 day, 5:10:16, time: 1.874, data_time: 0.018, memory: 42763, decode.loss_cls: 0.8530, decode.loss_mask: 0.7897, decode.loss_dice: 1.2188, decode.d0.loss_cls: 2.8146, decode.d0.loss_mask: 0.7830, decode.d0.loss_dice: 1.4254, decode.d1.loss_cls: 0.9204, decode.d1.loss_mask: 0.8092, decode.d1.loss_dice: 1.3146, decode.d2.loss_cls: 0.8731, decode.d2.loss_mask: 0.7992, decode.d2.loss_dice: 1.2597, decode.d3.loss_cls: 0.8624, decode.d3.loss_mask: 0.7905, decode.d3.loss_dice: 1.2354, decode.d4.loss_cls: 0.8628, decode.d4.loss_mask: 0.7845, decode.d4.loss_dice: 1.2372, decode.d5.loss_cls: 0.8523, decode.d5.loss_mask: 0.7842, decode.d5.loss_dice: 1.2331, decode.d6.loss_cls: 0.8623, decode.d6.loss_mask: 0.7825, decode.d6.loss_dice: 1.2249, decode.d7.loss_cls: 0.8522, decode.d7.loss_mask: 0.7833, decode.d7.loss_dice: 1.2273, decode.d8.loss_cls: 0.8549, decode.d8.loss_mask: 0.7812, decode.d8.loss_dice: 1.2291, loss: 31.1006 2022-09-12 17:58:13,916 - mmseg - INFO - Iter [25900/80000] lr: 9.710e-07, eta: 1 day, 5:08:32, time: 1.865, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8620, decode.loss_mask: 0.7922, decode.loss_dice: 1.2377, decode.d0.loss_cls: 2.8638, decode.d0.loss_mask: 0.7858, decode.d0.loss_dice: 1.4349, decode.d1.loss_cls: 0.9504, decode.d1.loss_mask: 0.8227, decode.d1.loss_dice: 1.3209, decode.d2.loss_cls: 0.8907, decode.d2.loss_mask: 0.8107, decode.d2.loss_dice: 1.2770, decode.d3.loss_cls: 0.8837, decode.d3.loss_mask: 0.8022, decode.d3.loss_dice: 1.2561, decode.d4.loss_cls: 0.8756, decode.d4.loss_mask: 0.8052, decode.d4.loss_dice: 1.2470, decode.d5.loss_cls: 0.8691, decode.d5.loss_mask: 0.7997, decode.d5.loss_dice: 1.2389, decode.d6.loss_cls: 0.8657, decode.d6.loss_mask: 0.8009, decode.d6.loss_dice: 1.2307, decode.d7.loss_cls: 0.8655, decode.d7.loss_mask: 0.7943, decode.d7.loss_dice: 1.2358, decode.d8.loss_cls: 0.8654, decode.d8.loss_mask: 0.7930, decode.d8.loss_dice: 1.2344, loss: 31.5120 2022-09-12 17:59:47,305 - mmseg - INFO - Iter [25950/80000] lr: 9.701e-07, eta: 1 day, 5:06:47, time: 1.868, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8740, decode.loss_mask: 0.8017, decode.loss_dice: 1.2991, decode.d0.loss_cls: 2.9217, decode.d0.loss_mask: 0.7924, decode.d0.loss_dice: 1.4788, decode.d1.loss_cls: 0.9499, decode.d1.loss_mask: 0.8266, decode.d1.loss_dice: 1.3732, decode.d2.loss_cls: 0.8889, decode.d2.loss_mask: 0.8124, decode.d2.loss_dice: 1.3224, decode.d3.loss_cls: 0.8798, decode.d3.loss_mask: 0.8044, decode.d3.loss_dice: 1.3061, decode.d4.loss_cls: 0.8781, decode.d4.loss_mask: 0.7968, decode.d4.loss_dice: 1.3055, decode.d5.loss_cls: 0.8678, decode.d5.loss_mask: 0.8003, decode.d5.loss_dice: 1.3059, decode.d6.loss_cls: 0.8746, decode.d6.loss_mask: 0.7933, decode.d6.loss_dice: 1.2898, decode.d7.loss_cls: 0.8690, decode.d7.loss_mask: 0.7935, decode.d7.loss_dice: 1.2968, decode.d8.loss_cls: 0.8676, decode.d8.loss_mask: 0.7954, decode.d8.loss_dice: 1.2921, loss: 32.1579 2022-09-12 18:01:22,012 - mmseg - INFO - Saving checkpoint at 26000 iterations 2022-09-12 18:01:53,175 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 18:01:53,177 - mmseg - INFO - Iter [26000/80000] lr: 9.692e-07, eta: 1 day, 5:06:10, time: 2.516, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8805, decode.loss_mask: 0.8189, decode.loss_dice: 1.2482, decode.d0.loss_cls: 2.8526, decode.d0.loss_mask: 0.8240, decode.d0.loss_dice: 1.4576, decode.d1.loss_cls: 0.9540, decode.d1.loss_mask: 0.8433, decode.d1.loss_dice: 1.3356, decode.d2.loss_cls: 0.8984, decode.d2.loss_mask: 0.8319, decode.d2.loss_dice: 1.2838, decode.d3.loss_cls: 0.8940, decode.d3.loss_mask: 0.8232, decode.d3.loss_dice: 1.2642, decode.d4.loss_cls: 0.8881, decode.d4.loss_mask: 0.8311, decode.d4.loss_dice: 1.2583, decode.d5.loss_cls: 0.8910, decode.d5.loss_mask: 0.8203, decode.d5.loss_dice: 1.2519, decode.d6.loss_cls: 0.8828, decode.d6.loss_mask: 0.8186, decode.d6.loss_dice: 1.2476, decode.d7.loss_cls: 0.8843, decode.d7.loss_mask: 0.8230, decode.d7.loss_dice: 1.2475, decode.d8.loss_cls: 0.8823, decode.d8.loss_mask: 0.8182, decode.d8.loss_dice: 1.2503, loss: 32.0055 2022-09-12 18:03:26,121 - mmseg - INFO - Iter [26050/80000] lr: 9.683e-07, eta: 1 day, 5:04:25, time: 1.861, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8507, decode.loss_mask: 0.7897, decode.loss_dice: 1.2123, decode.d0.loss_cls: 2.8314, decode.d0.loss_mask: 0.7833, decode.d0.loss_dice: 1.3955, decode.d1.loss_cls: 0.9102, decode.d1.loss_mask: 0.8203, decode.d1.loss_dice: 1.3026, decode.d2.loss_cls: 0.8690, decode.d2.loss_mask: 0.8058, decode.d2.loss_dice: 1.2511, decode.d3.loss_cls: 0.8636, decode.d3.loss_mask: 0.7961, decode.d3.loss_dice: 1.2279, decode.d4.loss_cls: 0.8553, decode.d4.loss_mask: 0.7950, decode.d4.loss_dice: 1.2336, decode.d5.loss_cls: 0.8583, decode.d5.loss_mask: 0.7907, decode.d5.loss_dice: 1.2211, decode.d6.loss_cls: 0.8567, decode.d6.loss_mask: 0.7875, decode.d6.loss_dice: 1.2082, decode.d7.loss_cls: 0.8446, decode.d7.loss_mask: 0.7885, decode.d7.loss_dice: 1.2133, decode.d8.loss_cls: 0.8453, decode.d8.loss_mask: 0.7892, decode.d8.loss_dice: 1.2112, loss: 31.0080 2022-09-12 18:04:59,255 - mmseg - INFO - Iter [26100/80000] lr: 9.674e-07, eta: 1 day, 5:02:40, time: 1.863, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8650, decode.loss_mask: 0.7768, decode.loss_dice: 1.2557, decode.d0.loss_cls: 2.8165, decode.d0.loss_mask: 0.7760, decode.d0.loss_dice: 1.4626, decode.d1.loss_cls: 0.9519, decode.d1.loss_mask: 0.8106, decode.d1.loss_dice: 1.3477, decode.d2.loss_cls: 0.8952, decode.d2.loss_mask: 0.7934, decode.d2.loss_dice: 1.2983, decode.d3.loss_cls: 0.8859, decode.d3.loss_mask: 0.7917, decode.d3.loss_dice: 1.2721, decode.d4.loss_cls: 0.8729, decode.d4.loss_mask: 0.7892, decode.d4.loss_dice: 1.2733, decode.d5.loss_cls: 0.8742, decode.d5.loss_mask: 0.7832, decode.d5.loss_dice: 1.2645, decode.d6.loss_cls: 0.8663, decode.d6.loss_mask: 0.7798, decode.d6.loss_dice: 1.2517, decode.d7.loss_cls: 0.8658, decode.d7.loss_mask: 0.7814, decode.d7.loss_dice: 1.2531, decode.d8.loss_cls: 0.8643, decode.d8.loss_mask: 0.7778, decode.d8.loss_dice: 1.2502, loss: 31.5473 2022-09-12 18:06:31,740 - mmseg - INFO - Iter [26150/80000] lr: 9.665e-07, eta: 1 day, 5:00:54, time: 1.850, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8726, decode.loss_mask: 0.7898, decode.loss_dice: 1.2515, decode.d0.loss_cls: 2.8227, decode.d0.loss_mask: 0.7955, decode.d0.loss_dice: 1.4554, decode.d1.loss_cls: 0.9537, decode.d1.loss_mask: 0.8189, decode.d1.loss_dice: 1.3426, decode.d2.loss_cls: 0.8942, decode.d2.loss_mask: 0.8062, decode.d2.loss_dice: 1.2895, decode.d3.loss_cls: 0.8755, decode.d3.loss_mask: 0.8035, decode.d3.loss_dice: 1.2685, decode.d4.loss_cls: 0.8759, decode.d4.loss_mask: 0.7987, decode.d4.loss_dice: 1.2645, decode.d5.loss_cls: 0.8726, decode.d5.loss_mask: 0.7963, decode.d5.loss_dice: 1.2601, decode.d6.loss_cls: 0.8743, decode.d6.loss_mask: 0.7881, decode.d6.loss_dice: 1.2522, decode.d7.loss_cls: 0.8752, decode.d7.loss_mask: 0.7935, decode.d7.loss_dice: 1.2573, decode.d8.loss_cls: 0.8738, decode.d8.loss_mask: 0.7938, decode.d8.loss_dice: 1.2513, loss: 31.6676 2022-09-12 18:08:03,651 - mmseg - INFO - Iter [26200/80000] lr: 9.656e-07, eta: 1 day, 4:59:06, time: 1.838, data_time: 0.017, memory: 42763, decode.loss_cls: 0.8538, decode.loss_mask: 0.8009, decode.loss_dice: 1.2292, decode.d0.loss_cls: 2.8027, decode.d0.loss_mask: 0.7885, decode.d0.loss_dice: 1.4164, decode.d1.loss_cls: 0.9308, decode.d1.loss_mask: 0.8283, decode.d1.loss_dice: 1.3248, decode.d2.loss_cls: 0.8776, decode.d2.loss_mask: 0.8073, decode.d2.loss_dice: 1.2726, decode.d3.loss_cls: 0.8697, decode.d3.loss_mask: 0.8024, decode.d3.loss_dice: 1.2569, decode.d4.loss_cls: 0.8607, decode.d4.loss_mask: 0.8011, decode.d4.loss_dice: 1.2514, decode.d5.loss_cls: 0.8542, decode.d5.loss_mask: 0.7966, decode.d5.loss_dice: 1.2470, decode.d6.loss_cls: 0.8532, decode.d6.loss_mask: 0.7966, decode.d6.loss_dice: 1.2346, decode.d7.loss_cls: 0.8526, decode.d7.loss_mask: 0.7988, decode.d7.loss_dice: 1.2373, decode.d8.loss_cls: 0.8534, decode.d8.loss_mask: 0.7994, decode.d8.loss_dice: 1.2283, loss: 31.3269 2022-09-12 18:09:36,283 - mmseg - INFO - Iter [26250/80000] lr: 9.647e-07, eta: 1 day, 4:57:20, time: 1.853, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8558, decode.loss_mask: 0.7836, decode.loss_dice: 1.2067, decode.d0.loss_cls: 2.8337, decode.d0.loss_mask: 0.7900, decode.d0.loss_dice: 1.3991, decode.d1.loss_cls: 0.9307, decode.d1.loss_mask: 0.8176, decode.d1.loss_dice: 1.2970, decode.d2.loss_cls: 0.8800, decode.d2.loss_mask: 0.8000, decode.d2.loss_dice: 1.2484, decode.d3.loss_cls: 0.8682, decode.d3.loss_mask: 0.7948, decode.d3.loss_dice: 1.2272, decode.d4.loss_cls: 0.8662, decode.d4.loss_mask: 0.7901, decode.d4.loss_dice: 1.2181, decode.d5.loss_cls: 0.8625, decode.d5.loss_mask: 0.7864, decode.d5.loss_dice: 1.2112, decode.d6.loss_cls: 0.8557, decode.d6.loss_mask: 0.7853, decode.d6.loss_dice: 1.1969, decode.d7.loss_cls: 0.8578, decode.d7.loss_mask: 0.7846, decode.d7.loss_dice: 1.1965, decode.d8.loss_cls: 0.8560, decode.d8.loss_mask: 0.7817, decode.d8.loss_dice: 1.2004, loss: 30.9823 2022-09-12 18:11:09,103 - mmseg - INFO - Iter [26300/80000] lr: 9.638e-07, eta: 1 day, 4:55:35, time: 1.856, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8328, decode.loss_mask: 0.8098, decode.loss_dice: 1.2285, decode.d0.loss_cls: 2.7615, decode.d0.loss_mask: 0.8000, decode.d0.loss_dice: 1.4081, decode.d1.loss_cls: 0.9025, decode.d1.loss_mask: 0.8392, decode.d1.loss_dice: 1.3057, decode.d2.loss_cls: 0.8577, decode.d2.loss_mask: 0.8236, decode.d2.loss_dice: 1.2587, decode.d3.loss_cls: 0.8429, decode.d3.loss_mask: 0.8158, decode.d3.loss_dice: 1.2359, decode.d4.loss_cls: 0.8395, decode.d4.loss_mask: 0.8204, decode.d4.loss_dice: 1.2395, decode.d5.loss_cls: 0.8414, decode.d5.loss_mask: 0.8123, decode.d5.loss_dice: 1.2284, decode.d6.loss_cls: 0.8399, decode.d6.loss_mask: 0.8128, decode.d6.loss_dice: 1.2232, decode.d7.loss_cls: 0.8416, decode.d7.loss_mask: 0.8129, decode.d7.loss_dice: 1.2257, decode.d8.loss_cls: 0.8328, decode.d8.loss_mask: 0.8124, decode.d8.loss_dice: 1.2331, loss: 31.1384 2022-09-12 18:12:42,659 - mmseg - INFO - Iter [26350/80000] lr: 9.629e-07, eta: 1 day, 4:53:51, time: 1.871, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8524, decode.loss_mask: 0.8054, decode.loss_dice: 1.2440, decode.d0.loss_cls: 2.8118, decode.d0.loss_mask: 0.7966, decode.d0.loss_dice: 1.4227, decode.d1.loss_cls: 0.9206, decode.d1.loss_mask: 0.8324, decode.d1.loss_dice: 1.3290, decode.d2.loss_cls: 0.8602, decode.d2.loss_mask: 0.8113, decode.d2.loss_dice: 1.2777, decode.d3.loss_cls: 0.8497, decode.d3.loss_mask: 0.8068, decode.d3.loss_dice: 1.2595, decode.d4.loss_cls: 0.8489, decode.d4.loss_mask: 0.8070, decode.d4.loss_dice: 1.2523, decode.d5.loss_cls: 0.8447, decode.d5.loss_mask: 0.8046, decode.d5.loss_dice: 1.2512, decode.d6.loss_cls: 0.8431, decode.d6.loss_mask: 0.8061, decode.d6.loss_dice: 1.2431, decode.d7.loss_cls: 0.8467, decode.d7.loss_mask: 0.8035, decode.d7.loss_dice: 1.2421, decode.d8.loss_cls: 0.8427, decode.d8.loss_mask: 0.8044, decode.d8.loss_dice: 1.2534, loss: 31.3740 2022-09-12 18:14:14,945 - mmseg - INFO - Iter [26400/80000] lr: 9.620e-07, eta: 1 day, 4:52:05, time: 1.845, data_time: 0.012, memory: 42763, decode.loss_cls: 0.8371, decode.loss_mask: 0.7980, decode.loss_dice: 1.2095, decode.d0.loss_cls: 2.7999, decode.d0.loss_mask: 0.7870, decode.d0.loss_dice: 1.3948, decode.d1.loss_cls: 0.9141, decode.d1.loss_mask: 0.8214, decode.d1.loss_dice: 1.3013, decode.d2.loss_cls: 0.8558, decode.d2.loss_mask: 0.8115, decode.d2.loss_dice: 1.2425, decode.d3.loss_cls: 0.8469, decode.d3.loss_mask: 0.8063, decode.d3.loss_dice: 1.2282, decode.d4.loss_cls: 0.8449, decode.d4.loss_mask: 0.8053, decode.d4.loss_dice: 1.2130, decode.d5.loss_cls: 0.8382, decode.d5.loss_mask: 0.8042, decode.d5.loss_dice: 1.2125, decode.d6.loss_cls: 0.8425, decode.d6.loss_mask: 0.7974, decode.d6.loss_dice: 1.2068, decode.d7.loss_cls: 0.8389, decode.d7.loss_mask: 0.8002, decode.d7.loss_dice: 1.2137, decode.d8.loss_cls: 0.8318, decode.d8.loss_mask: 0.8012, decode.d8.loss_dice: 1.2101, loss: 30.9152 2022-09-12 18:15:47,748 - mmseg - INFO - Iter [26450/80000] lr: 9.611e-07, eta: 1 day, 4:50:19, time: 1.856, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8451, decode.loss_mask: 0.7908, decode.loss_dice: 1.2016, decode.d0.loss_cls: 2.7422, decode.d0.loss_mask: 0.7868, decode.d0.loss_dice: 1.3847, decode.d1.loss_cls: 0.9151, decode.d1.loss_mask: 0.8118, decode.d1.loss_dice: 1.2865, decode.d2.loss_cls: 0.8662, decode.d2.loss_mask: 0.7975, decode.d2.loss_dice: 1.2403, decode.d3.loss_cls: 0.8558, decode.d3.loss_mask: 0.7955, decode.d3.loss_dice: 1.2208, decode.d4.loss_cls: 0.8547, decode.d4.loss_mask: 0.7934, decode.d4.loss_dice: 1.2194, decode.d5.loss_cls: 0.8478, decode.d5.loss_mask: 0.7923, decode.d5.loss_dice: 1.2116, decode.d6.loss_cls: 0.8428, decode.d6.loss_mask: 0.7926, decode.d6.loss_dice: 1.2001, decode.d7.loss_cls: 0.8411, decode.d7.loss_mask: 0.7928, decode.d7.loss_dice: 1.2111, decode.d8.loss_cls: 0.8378, decode.d8.loss_mask: 0.7913, decode.d8.loss_dice: 1.2117, loss: 30.7812 2022-09-12 18:17:20,532 - mmseg - INFO - Iter [26500/80000] lr: 9.602e-07, eta: 1 day, 4:48:34, time: 1.856, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8722, decode.loss_mask: 0.7972, decode.loss_dice: 1.2583, decode.d0.loss_cls: 2.8414, decode.d0.loss_mask: 0.7863, decode.d0.loss_dice: 1.4483, decode.d1.loss_cls: 0.9415, decode.d1.loss_mask: 0.8180, decode.d1.loss_dice: 1.3451, decode.d2.loss_cls: 0.8946, decode.d2.loss_mask: 0.8046, decode.d2.loss_dice: 1.2844, decode.d3.loss_cls: 0.8813, decode.d3.loss_mask: 0.8058, decode.d3.loss_dice: 1.2687, decode.d4.loss_cls: 0.8832, decode.d4.loss_mask: 0.8025, decode.d4.loss_dice: 1.2657, decode.d5.loss_cls: 0.8788, decode.d5.loss_mask: 0.8002, decode.d5.loss_dice: 1.2685, decode.d6.loss_cls: 0.8801, decode.d6.loss_mask: 0.7972, decode.d6.loss_dice: 1.2531, decode.d7.loss_cls: 0.8806, decode.d7.loss_mask: 0.7995, decode.d7.loss_dice: 1.2539, decode.d8.loss_cls: 0.8743, decode.d8.loss_mask: 0.8001, decode.d8.loss_dice: 1.2568, loss: 31.7424 2022-09-12 18:18:53,422 - mmseg - INFO - Iter [26550/80000] lr: 9.593e-07, eta: 1 day, 4:46:49, time: 1.858, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8521, decode.loss_mask: 0.8120, decode.loss_dice: 1.2351, decode.d0.loss_cls: 2.7385, decode.d0.loss_mask: 0.8152, decode.d0.loss_dice: 1.4227, decode.d1.loss_cls: 0.9176, decode.d1.loss_mask: 0.8422, decode.d1.loss_dice: 1.3153, decode.d2.loss_cls: 0.8729, decode.d2.loss_mask: 0.8235, decode.d2.loss_dice: 1.2664, decode.d3.loss_cls: 0.8620, decode.d3.loss_mask: 0.8210, decode.d3.loss_dice: 1.2507, decode.d4.loss_cls: 0.8590, decode.d4.loss_mask: 0.8148, decode.d4.loss_dice: 1.2468, decode.d5.loss_cls: 0.8516, decode.d5.loss_mask: 0.8122, decode.d5.loss_dice: 1.2452, decode.d6.loss_cls: 0.8459, decode.d6.loss_mask: 0.8080, decode.d6.loss_dice: 1.2318, decode.d7.loss_cls: 0.8547, decode.d7.loss_mask: 0.8134, decode.d7.loss_dice: 1.2348, decode.d8.loss_cls: 0.8479, decode.d8.loss_mask: 0.8094, decode.d8.loss_dice: 1.2364, loss: 31.3592 2022-09-12 18:20:26,201 - mmseg - INFO - Iter [26600/80000] lr: 9.584e-07, eta: 1 day, 4:45:04, time: 1.856, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8731, decode.loss_mask: 0.7950, decode.loss_dice: 1.2459, decode.d0.loss_cls: 2.8628, decode.d0.loss_mask: 0.7928, decode.d0.loss_dice: 1.4448, decode.d1.loss_cls: 0.9370, decode.d1.loss_mask: 0.8221, decode.d1.loss_dice: 1.3435, decode.d2.loss_cls: 0.8831, decode.d2.loss_mask: 0.8107, decode.d2.loss_dice: 1.2821, decode.d3.loss_cls: 0.8818, decode.d3.loss_mask: 0.8034, decode.d3.loss_dice: 1.2619, decode.d4.loss_cls: 0.8735, decode.d4.loss_mask: 0.8011, decode.d4.loss_dice: 1.2630, decode.d5.loss_cls: 0.8658, decode.d5.loss_mask: 0.7966, decode.d5.loss_dice: 1.2516, decode.d6.loss_cls: 0.8652, decode.d6.loss_mask: 0.7989, decode.d6.loss_dice: 1.2449, decode.d7.loss_cls: 0.8565, decode.d7.loss_mask: 0.8013, decode.d7.loss_dice: 1.2494, decode.d8.loss_cls: 0.8653, decode.d8.loss_mask: 0.7950, decode.d8.loss_dice: 1.2509, loss: 31.6191 2022-09-12 18:21:58,699 - mmseg - INFO - Iter [26650/80000] lr: 9.575e-07, eta: 1 day, 4:43:18, time: 1.850, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8779, decode.loss_mask: 0.8195, decode.loss_dice: 1.2207, decode.d0.loss_cls: 2.8423, decode.d0.loss_mask: 0.8243, decode.d0.loss_dice: 1.4327, decode.d1.loss_cls: 0.9576, decode.d1.loss_mask: 0.8452, decode.d1.loss_dice: 1.3109, decode.d2.loss_cls: 0.8958, decode.d2.loss_mask: 0.8315, decode.d2.loss_dice: 1.2618, decode.d3.loss_cls: 0.8875, decode.d3.loss_mask: 0.8211, decode.d3.loss_dice: 1.2426, decode.d4.loss_cls: 0.8828, decode.d4.loss_mask: 0.8231, decode.d4.loss_dice: 1.2349, decode.d5.loss_cls: 0.8696, decode.d5.loss_mask: 0.8230, decode.d5.loss_dice: 1.2316, decode.d6.loss_cls: 0.8705, decode.d6.loss_mask: 0.8173, decode.d6.loss_dice: 1.2249, decode.d7.loss_cls: 0.8732, decode.d7.loss_mask: 0.8139, decode.d7.loss_dice: 1.2212, decode.d8.loss_cls: 0.8737, decode.d8.loss_mask: 0.8188, decode.d8.loss_dice: 1.2241, loss: 31.6739 2022-09-12 18:23:32,357 - mmseg - INFO - Iter [26700/80000] lr: 9.566e-07, eta: 1 day, 4:41:34, time: 1.873, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8909, decode.loss_mask: 0.7854, decode.loss_dice: 1.2284, decode.d0.loss_cls: 2.9118, decode.d0.loss_mask: 0.7884, decode.d0.loss_dice: 1.4366, decode.d1.loss_cls: 0.9663, decode.d1.loss_mask: 0.8220, decode.d1.loss_dice: 1.3138, decode.d2.loss_cls: 0.9159, decode.d2.loss_mask: 0.8017, decode.d2.loss_dice: 1.2623, decode.d3.loss_cls: 0.9017, decode.d3.loss_mask: 0.7916, decode.d3.loss_dice: 1.2460, decode.d4.loss_cls: 0.9009, decode.d4.loss_mask: 0.7903, decode.d4.loss_dice: 1.2413, decode.d5.loss_cls: 0.8920, decode.d5.loss_mask: 0.7864, decode.d5.loss_dice: 1.2387, decode.d6.loss_cls: 0.8873, decode.d6.loss_mask: 0.7838, decode.d6.loss_dice: 1.2280, decode.d7.loss_cls: 0.8844, decode.d7.loss_mask: 0.7866, decode.d7.loss_dice: 1.2286, decode.d8.loss_cls: 0.8856, decode.d8.loss_mask: 0.7851, decode.d8.loss_dice: 1.2266, loss: 31.6084 2022-09-12 18:25:05,539 - mmseg - INFO - Iter [26750/80000] lr: 9.557e-07, eta: 1 day, 4:39:50, time: 1.864, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8501, decode.loss_mask: 0.8005, decode.loss_dice: 1.2461, decode.d0.loss_cls: 2.7760, decode.d0.loss_mask: 0.7915, decode.d0.loss_dice: 1.4166, decode.d1.loss_cls: 0.9172, decode.d1.loss_mask: 0.8221, decode.d1.loss_dice: 1.3281, decode.d2.loss_cls: 0.8697, decode.d2.loss_mask: 0.8003, decode.d2.loss_dice: 1.2735, decode.d3.loss_cls: 0.8653, decode.d3.loss_mask: 0.7964, decode.d3.loss_dice: 1.2605, decode.d4.loss_cls: 0.8533, decode.d4.loss_mask: 0.7999, decode.d4.loss_dice: 1.2592, decode.d5.loss_cls: 0.8520, decode.d5.loss_mask: 0.7932, decode.d5.loss_dice: 1.2565, decode.d6.loss_cls: 0.8474, decode.d6.loss_mask: 0.7989, decode.d6.loss_dice: 1.2455, decode.d7.loss_cls: 0.8493, decode.d7.loss_mask: 0.7955, decode.d7.loss_dice: 1.2374, decode.d8.loss_cls: 0.8444, decode.d8.loss_mask: 0.7982, decode.d8.loss_dice: 1.2465, loss: 31.2911 2022-09-12 18:26:38,037 - mmseg - INFO - Iter [26800/80000] lr: 9.548e-07, eta: 1 day, 4:38:05, time: 1.850, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8395, decode.loss_mask: 0.7866, decode.loss_dice: 1.2336, decode.d0.loss_cls: 2.8349, decode.d0.loss_mask: 0.7813, decode.d0.loss_dice: 1.4346, decode.d1.loss_cls: 0.9265, decode.d1.loss_mask: 0.8164, decode.d1.loss_dice: 1.3148, decode.d2.loss_cls: 0.8671, decode.d2.loss_mask: 0.8035, decode.d2.loss_dice: 1.2578, decode.d3.loss_cls: 0.8583, decode.d3.loss_mask: 0.7974, decode.d3.loss_dice: 1.2427, decode.d4.loss_cls: 0.8589, decode.d4.loss_mask: 0.7955, decode.d4.loss_dice: 1.2429, decode.d5.loss_cls: 0.8490, decode.d5.loss_mask: 0.7941, decode.d5.loss_dice: 1.2431, decode.d6.loss_cls: 0.8414, decode.d6.loss_mask: 0.7858, decode.d6.loss_dice: 1.2318, decode.d7.loss_cls: 0.8438, decode.d7.loss_mask: 0.7864, decode.d7.loss_dice: 1.2298, decode.d8.loss_cls: 0.8384, decode.d8.loss_mask: 0.7889, decode.d8.loss_dice: 1.2298, loss: 31.1547 2022-09-12 18:28:09,616 - mmseg - INFO - Iter [26850/80000] lr: 9.539e-07, eta: 1 day, 4:36:17, time: 1.831, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8346, decode.loss_mask: 0.8080, decode.loss_dice: 1.2386, decode.d0.loss_cls: 2.7909, decode.d0.loss_mask: 0.8095, decode.d0.loss_dice: 1.4325, decode.d1.loss_cls: 0.9221, decode.d1.loss_mask: 0.8305, decode.d1.loss_dice: 1.3237, decode.d2.loss_cls: 0.8685, decode.d2.loss_mask: 0.8233, decode.d2.loss_dice: 1.2788, decode.d3.loss_cls: 0.8593, decode.d3.loss_mask: 0.8152, decode.d3.loss_dice: 1.2587, decode.d4.loss_cls: 0.8557, decode.d4.loss_mask: 0.8116, decode.d4.loss_dice: 1.2532, decode.d5.loss_cls: 0.8461, decode.d5.loss_mask: 0.8129, decode.d5.loss_dice: 1.2550, decode.d6.loss_cls: 0.8407, decode.d6.loss_mask: 0.8096, decode.d6.loss_dice: 1.2366, decode.d7.loss_cls: 0.8389, decode.d7.loss_mask: 0.8053, decode.d7.loss_dice: 1.2423, decode.d8.loss_cls: 0.8331, decode.d8.loss_mask: 0.8108, decode.d8.loss_dice: 1.2426, loss: 31.3887 2022-09-12 18:29:42,274 - mmseg - INFO - Iter [26900/80000] lr: 9.530e-07, eta: 1 day, 4:34:32, time: 1.854, data_time: 0.017, memory: 42763, decode.loss_cls: 0.8590, decode.loss_mask: 0.7928, decode.loss_dice: 1.2537, decode.d0.loss_cls: 2.8496, decode.d0.loss_mask: 0.7886, decode.d0.loss_dice: 1.4539, decode.d1.loss_cls: 0.9492, decode.d1.loss_mask: 0.8148, decode.d1.loss_dice: 1.3462, decode.d2.loss_cls: 0.8877, decode.d2.loss_mask: 0.8018, decode.d2.loss_dice: 1.2867, decode.d3.loss_cls: 0.8765, decode.d3.loss_mask: 0.7973, decode.d3.loss_dice: 1.2683, decode.d4.loss_cls: 0.8784, decode.d4.loss_mask: 0.7949, decode.d4.loss_dice: 1.2759, decode.d5.loss_cls: 0.8622, decode.d5.loss_mask: 0.8007, decode.d5.loss_dice: 1.2746, decode.d6.loss_cls: 0.8602, decode.d6.loss_mask: 0.7914, decode.d6.loss_dice: 1.2547, decode.d7.loss_cls: 0.8582, decode.d7.loss_mask: 0.7952, decode.d7.loss_dice: 1.2594, decode.d8.loss_cls: 0.8569, decode.d8.loss_mask: 0.7924, decode.d8.loss_dice: 1.2563, loss: 31.6375 2022-09-12 18:31:15,895 - mmseg - INFO - Iter [26950/80000] lr: 9.521e-07, eta: 1 day, 4:32:48, time: 1.868, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8810, decode.loss_mask: 0.7951, decode.loss_dice: 1.2272, decode.d0.loss_cls: 2.8662, decode.d0.loss_mask: 0.7849, decode.d0.loss_dice: 1.4261, decode.d1.loss_cls: 0.9524, decode.d1.loss_mask: 0.8291, decode.d1.loss_dice: 1.3133, decode.d2.loss_cls: 0.9023, decode.d2.loss_mask: 0.8039, decode.d2.loss_dice: 1.2575, decode.d3.loss_cls: 0.8931, decode.d3.loss_mask: 0.7980, decode.d3.loss_dice: 1.2460, decode.d4.loss_cls: 0.8883, decode.d4.loss_mask: 0.7951, decode.d4.loss_dice: 1.2448, decode.d5.loss_cls: 0.8883, decode.d5.loss_mask: 0.7954, decode.d5.loss_dice: 1.2394, decode.d6.loss_cls: 0.8822, decode.d6.loss_mask: 0.7950, decode.d6.loss_dice: 1.2241, decode.d7.loss_cls: 0.8826, decode.d7.loss_mask: 0.7925, decode.d7.loss_dice: 1.2216, decode.d8.loss_cls: 0.8770, decode.d8.loss_mask: 0.7979, decode.d8.loss_dice: 1.2268, loss: 31.5268 2022-09-12 18:32:48,574 - mmseg - INFO - Saving checkpoint at 27000 iterations 2022-09-12 18:33:19,096 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 18:33:19,104 - mmseg - INFO - Iter [27000/80000] lr: 9.512e-07, eta: 1 day, 4:32:03, time: 2.466, data_time: 0.018, memory: 42763, decode.loss_cls: 0.8458, decode.loss_mask: 0.7909, decode.loss_dice: 1.2420, decode.d0.loss_cls: 2.7573, decode.d0.loss_mask: 0.8011, decode.d0.loss_dice: 1.4451, decode.d1.loss_cls: 0.9211, decode.d1.loss_mask: 0.8145, decode.d1.loss_dice: 1.3324, decode.d2.loss_cls: 0.8722, decode.d2.loss_mask: 0.7988, decode.d2.loss_dice: 1.2771, decode.d3.loss_cls: 0.8605, decode.d3.loss_mask: 0.7929, decode.d3.loss_dice: 1.2550, decode.d4.loss_cls: 0.8528, decode.d4.loss_mask: 0.7950, decode.d4.loss_dice: 1.2510, decode.d5.loss_cls: 0.8455, decode.d5.loss_mask: 0.7900, decode.d5.loss_dice: 1.2496, decode.d6.loss_cls: 0.8421, decode.d6.loss_mask: 0.7933, decode.d6.loss_dice: 1.2371, decode.d7.loss_cls: 0.8404, decode.d7.loss_mask: 0.7920, decode.d7.loss_dice: 1.2385, decode.d8.loss_cls: 0.8384, decode.d8.loss_mask: 0.7878, decode.d8.loss_dice: 1.2421, loss: 31.2023 2022-09-12 18:34:51,661 - mmseg - INFO - Iter [27050/80000] lr: 9.503e-07, eta: 1 day, 4:30:18, time: 1.852, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8665, decode.loss_mask: 0.7895, decode.loss_dice: 1.2338, decode.d0.loss_cls: 2.8182, decode.d0.loss_mask: 0.7934, decode.d0.loss_dice: 1.4588, decode.d1.loss_cls: 0.9388, decode.d1.loss_mask: 0.8257, decode.d1.loss_dice: 1.3358, decode.d2.loss_cls: 0.8791, decode.d2.loss_mask: 0.8056, decode.d2.loss_dice: 1.2856, decode.d3.loss_cls: 0.8853, decode.d3.loss_mask: 0.8000, decode.d3.loss_dice: 1.2584, decode.d4.loss_cls: 0.8802, decode.d4.loss_mask: 0.7991, decode.d4.loss_dice: 1.2569, decode.d5.loss_cls: 0.8790, decode.d5.loss_mask: 0.7896, decode.d5.loss_dice: 1.2511, decode.d6.loss_cls: 0.8681, decode.d6.loss_mask: 0.7892, decode.d6.loss_dice: 1.2365, decode.d7.loss_cls: 0.8642, decode.d7.loss_mask: 0.7929, decode.d7.loss_dice: 1.2468, decode.d8.loss_cls: 0.8659, decode.d8.loss_mask: 0.7892, decode.d8.loss_dice: 1.2398, loss: 31.5231 2022-09-12 18:36:23,814 - mmseg - INFO - Iter [27100/80000] lr: 9.494e-07, eta: 1 day, 4:28:32, time: 1.844, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8763, decode.loss_mask: 0.8026, decode.loss_dice: 1.2545, decode.d0.loss_cls: 2.8317, decode.d0.loss_mask: 0.8045, decode.d0.loss_dice: 1.4672, decode.d1.loss_cls: 0.9503, decode.d1.loss_mask: 0.8356, decode.d1.loss_dice: 1.3477, decode.d2.loss_cls: 0.8914, decode.d2.loss_mask: 0.8192, decode.d2.loss_dice: 1.3039, decode.d3.loss_cls: 0.8862, decode.d3.loss_mask: 0.8088, decode.d3.loss_dice: 1.2794, decode.d4.loss_cls: 0.8877, decode.d4.loss_mask: 0.8063, decode.d4.loss_dice: 1.2793, decode.d5.loss_cls: 0.8819, decode.d5.loss_mask: 0.8001, decode.d5.loss_dice: 1.2688, decode.d6.loss_cls: 0.8785, decode.d6.loss_mask: 0.8015, decode.d6.loss_dice: 1.2550, decode.d7.loss_cls: 0.8775, decode.d7.loss_mask: 0.8006, decode.d7.loss_dice: 1.2564, decode.d8.loss_cls: 0.8780, decode.d8.loss_mask: 0.7999, decode.d8.loss_dice: 1.2578, loss: 31.8887 2022-09-12 18:37:57,036 - mmseg - INFO - Iter [27150/80000] lr: 9.485e-07, eta: 1 day, 4:26:48, time: 1.865, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8665, decode.loss_mask: 0.7879, decode.loss_dice: 1.2228, decode.d0.loss_cls: 2.7679, decode.d0.loss_mask: 0.7876, decode.d0.loss_dice: 1.4293, decode.d1.loss_cls: 0.9391, decode.d1.loss_mask: 0.8173, decode.d1.loss_dice: 1.2969, decode.d2.loss_cls: 0.8817, decode.d2.loss_mask: 0.8067, decode.d2.loss_dice: 1.2574, decode.d3.loss_cls: 0.8687, decode.d3.loss_mask: 0.7939, decode.d3.loss_dice: 1.2322, decode.d4.loss_cls: 0.8680, decode.d4.loss_mask: 0.7920, decode.d4.loss_dice: 1.2275, decode.d5.loss_cls: 0.8646, decode.d5.loss_mask: 0.7878, decode.d5.loss_dice: 1.2265, decode.d6.loss_cls: 0.8627, decode.d6.loss_mask: 0.7885, decode.d6.loss_dice: 1.2194, decode.d7.loss_cls: 0.8663, decode.d7.loss_mask: 0.7863, decode.d7.loss_dice: 1.2157, decode.d8.loss_cls: 0.8629, decode.d8.loss_mask: 0.7876, decode.d8.loss_dice: 1.2169, loss: 31.1287 2022-09-12 18:39:29,410 - mmseg - INFO - Iter [27200/80000] lr: 9.476e-07, eta: 1 day, 4:25:02, time: 1.848, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8584, decode.loss_mask: 0.7874, decode.loss_dice: 1.2284, decode.d0.loss_cls: 2.8208, decode.d0.loss_mask: 0.7802, decode.d0.loss_dice: 1.4147, decode.d1.loss_cls: 0.9319, decode.d1.loss_mask: 0.8168, decode.d1.loss_dice: 1.3217, decode.d2.loss_cls: 0.8737, decode.d2.loss_mask: 0.8013, decode.d2.loss_dice: 1.2686, decode.d3.loss_cls: 0.8716, decode.d3.loss_mask: 0.7915, decode.d3.loss_dice: 1.2533, decode.d4.loss_cls: 0.8655, decode.d4.loss_mask: 0.7895, decode.d4.loss_dice: 1.2432, decode.d5.loss_cls: 0.8549, decode.d5.loss_mask: 0.7898, decode.d5.loss_dice: 1.2333, decode.d6.loss_cls: 0.8560, decode.d6.loss_mask: 0.7896, decode.d6.loss_dice: 1.2271, decode.d7.loss_cls: 0.8541, decode.d7.loss_mask: 0.7834, decode.d7.loss_dice: 1.2299, decode.d8.loss_cls: 0.8555, decode.d8.loss_mask: 0.7871, decode.d8.loss_dice: 1.2291, loss: 31.2084 2022-09-12 18:41:03,110 - mmseg - INFO - Iter [27250/80000] lr: 9.467e-07, eta: 1 day, 4:23:19, time: 1.874, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8415, decode.loss_mask: 0.8114, decode.loss_dice: 1.2312, decode.d0.loss_cls: 2.7288, decode.d0.loss_mask: 0.8013, decode.d0.loss_dice: 1.4303, decode.d1.loss_cls: 0.9144, decode.d1.loss_mask: 0.8399, decode.d1.loss_dice: 1.3187, decode.d2.loss_cls: 0.8634, decode.d2.loss_mask: 0.8274, decode.d2.loss_dice: 1.2752, decode.d3.loss_cls: 0.8570, decode.d3.loss_mask: 0.8169, decode.d3.loss_dice: 1.2510, decode.d4.loss_cls: 0.8533, decode.d4.loss_mask: 0.8173, decode.d4.loss_dice: 1.2417, decode.d5.loss_cls: 0.8488, decode.d5.loss_mask: 0.8129, decode.d5.loss_dice: 1.2365, decode.d6.loss_cls: 0.8433, decode.d6.loss_mask: 0.8030, decode.d6.loss_dice: 1.2339, decode.d7.loss_cls: 0.8406, decode.d7.loss_mask: 0.8100, decode.d7.loss_dice: 1.2352, decode.d8.loss_cls: 0.8417, decode.d8.loss_mask: 0.8094, decode.d8.loss_dice: 1.2357, loss: 31.2718 2022-09-12 18:42:35,891 - mmseg - INFO - Iter [27300/80000] lr: 9.458e-07, eta: 1 day, 4:21:34, time: 1.856, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8854, decode.loss_mask: 0.7957, decode.loss_dice: 1.2433, decode.d0.loss_cls: 2.8037, decode.d0.loss_mask: 0.7918, decode.d0.loss_dice: 1.4412, decode.d1.loss_cls: 0.9543, decode.d1.loss_mask: 0.8218, decode.d1.loss_dice: 1.3325, decode.d2.loss_cls: 0.9001, decode.d2.loss_mask: 0.8086, decode.d2.loss_dice: 1.2817, decode.d3.loss_cls: 0.8985, decode.d3.loss_mask: 0.8018, decode.d3.loss_dice: 1.2567, decode.d4.loss_cls: 0.8944, decode.d4.loss_mask: 0.7953, decode.d4.loss_dice: 1.2547, decode.d5.loss_cls: 0.8858, decode.d5.loss_mask: 0.7974, decode.d5.loss_dice: 1.2497, decode.d6.loss_cls: 0.8772, decode.d6.loss_mask: 0.8012, decode.d6.loss_dice: 1.2452, decode.d7.loss_cls: 0.8794, decode.d7.loss_mask: 0.7968, decode.d7.loss_dice: 1.2412, decode.d8.loss_cls: 0.8798, decode.d8.loss_mask: 0.7993, decode.d8.loss_dice: 1.2433, loss: 31.6578 2022-09-12 18:44:09,185 - mmseg - INFO - Iter [27350/80000] lr: 9.450e-07, eta: 1 day, 4:19:51, time: 1.866, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8296, decode.loss_mask: 0.8094, decode.loss_dice: 1.1982, decode.d0.loss_cls: 2.7199, decode.d0.loss_mask: 0.8046, decode.d0.loss_dice: 1.3972, decode.d1.loss_cls: 0.9023, decode.d1.loss_mask: 0.8302, decode.d1.loss_dice: 1.2857, decode.d2.loss_cls: 0.8543, decode.d2.loss_mask: 0.8143, decode.d2.loss_dice: 1.2346, decode.d3.loss_cls: 0.8412, decode.d3.loss_mask: 0.8083, decode.d3.loss_dice: 1.2157, decode.d4.loss_cls: 0.8439, decode.d4.loss_mask: 0.8100, decode.d4.loss_dice: 1.2139, decode.d5.loss_cls: 0.8358, decode.d5.loss_mask: 0.8090, decode.d5.loss_dice: 1.2051, decode.d6.loss_cls: 0.8277, decode.d6.loss_mask: 0.8137, decode.d6.loss_dice: 1.2010, decode.d7.loss_cls: 0.8262, decode.d7.loss_mask: 0.8130, decode.d7.loss_dice: 1.2006, decode.d8.loss_cls: 0.8198, decode.d8.loss_mask: 0.8139, decode.d8.loss_dice: 1.2013, loss: 30.7804 2022-09-12 18:45:42,523 - mmseg - INFO - Iter [27400/80000] lr: 9.441e-07, eta: 1 day, 4:18:07, time: 1.867, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8321, decode.loss_mask: 0.7916, decode.loss_dice: 1.2456, decode.d0.loss_cls: 2.7833, decode.d0.loss_mask: 0.7871, decode.d0.loss_dice: 1.4324, decode.d1.loss_cls: 0.9114, decode.d1.loss_mask: 0.8201, decode.d1.loss_dice: 1.3336, decode.d2.loss_cls: 0.8640, decode.d2.loss_mask: 0.8061, decode.d2.loss_dice: 1.2898, decode.d3.loss_cls: 0.8550, decode.d3.loss_mask: 0.7926, decode.d3.loss_dice: 1.2642, decode.d4.loss_cls: 0.8429, decode.d4.loss_mask: 0.7942, decode.d4.loss_dice: 1.2659, decode.d5.loss_cls: 0.8384, decode.d5.loss_mask: 0.7922, decode.d5.loss_dice: 1.2609, decode.d6.loss_cls: 0.8376, decode.d6.loss_mask: 0.7918, decode.d6.loss_dice: 1.2392, decode.d7.loss_cls: 0.8303, decode.d7.loss_mask: 0.7913, decode.d7.loss_dice: 1.2442, decode.d8.loss_cls: 0.8300, decode.d8.loss_mask: 0.7957, decode.d8.loss_dice: 1.2490, loss: 31.2125 2022-09-12 18:47:16,383 - mmseg - INFO - Iter [27450/80000] lr: 9.432e-07, eta: 1 day, 4:16:25, time: 1.877, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8646, decode.loss_mask: 0.7943, decode.loss_dice: 1.2234, decode.d0.loss_cls: 2.8252, decode.d0.loss_mask: 0.7933, decode.d0.loss_dice: 1.4189, decode.d1.loss_cls: 0.9406, decode.d1.loss_mask: 0.8186, decode.d1.loss_dice: 1.3069, decode.d2.loss_cls: 0.8921, decode.d2.loss_mask: 0.7980, decode.d2.loss_dice: 1.2602, decode.d3.loss_cls: 0.8795, decode.d3.loss_mask: 0.7976, decode.d3.loss_dice: 1.2429, decode.d4.loss_cls: 0.8751, decode.d4.loss_mask: 0.7911, decode.d4.loss_dice: 1.2346, decode.d5.loss_cls: 0.8639, decode.d5.loss_mask: 0.7899, decode.d5.loss_dice: 1.2331, decode.d6.loss_cls: 0.8593, decode.d6.loss_mask: 0.7867, decode.d6.loss_dice: 1.2226, decode.d7.loss_cls: 0.8628, decode.d7.loss_mask: 0.7905, decode.d7.loss_dice: 1.2172, decode.d8.loss_cls: 0.8654, decode.d8.loss_mask: 0.7904, decode.d8.loss_dice: 1.2266, loss: 31.2649 2022-09-12 18:48:51,037 - mmseg - INFO - Iter [27500/80000] lr: 9.423e-07, eta: 1 day, 4:14:43, time: 1.893, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8618, decode.loss_mask: 0.7907, decode.loss_dice: 1.2444, decode.d0.loss_cls: 2.8342, decode.d0.loss_mask: 0.8018, decode.d0.loss_dice: 1.4437, decode.d1.loss_cls: 0.9373, decode.d1.loss_mask: 0.8257, decode.d1.loss_dice: 1.3394, decode.d2.loss_cls: 0.8891, decode.d2.loss_mask: 0.8033, decode.d2.loss_dice: 1.2820, decode.d3.loss_cls: 0.8747, decode.d3.loss_mask: 0.8004, decode.d3.loss_dice: 1.2593, decode.d4.loss_cls: 0.8651, decode.d4.loss_mask: 0.8003, decode.d4.loss_dice: 1.2577, decode.d5.loss_cls: 0.8595, decode.d5.loss_mask: 0.8018, decode.d5.loss_dice: 1.2555, decode.d6.loss_cls: 0.8672, decode.d6.loss_mask: 0.7905, decode.d6.loss_dice: 1.2430, decode.d7.loss_cls: 0.8565, decode.d7.loss_mask: 0.7960, decode.d7.loss_dice: 1.2417, decode.d8.loss_cls: 0.8537, decode.d8.loss_mask: 0.7914, decode.d8.loss_dice: 1.2486, loss: 31.5166 2022-09-12 18:50:23,339 - mmseg - INFO - Iter [27550/80000] lr: 9.414e-07, eta: 1 day, 4:12:58, time: 1.846, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8232, decode.loss_mask: 0.7658, decode.loss_dice: 1.1785, decode.d0.loss_cls: 2.7454, decode.d0.loss_mask: 0.7664, decode.d0.loss_dice: 1.3767, decode.d1.loss_cls: 0.8861, decode.d1.loss_mask: 0.7928, decode.d1.loss_dice: 1.2814, decode.d2.loss_cls: 0.8356, decode.d2.loss_mask: 0.7814, decode.d2.loss_dice: 1.2229, decode.d3.loss_cls: 0.8343, decode.d3.loss_mask: 0.7720, decode.d3.loss_dice: 1.1982, decode.d4.loss_cls: 0.8320, decode.d4.loss_mask: 0.7710, decode.d4.loss_dice: 1.1990, decode.d5.loss_cls: 0.8232, decode.d5.loss_mask: 0.7653, decode.d5.loss_dice: 1.1927, decode.d6.loss_cls: 0.8223, decode.d6.loss_mask: 0.7668, decode.d6.loss_dice: 1.1736, decode.d7.loss_cls: 0.8194, decode.d7.loss_mask: 0.7691, decode.d7.loss_dice: 1.1842, decode.d8.loss_cls: 0.8141, decode.d8.loss_mask: 0.7643, decode.d8.loss_dice: 1.1812, loss: 30.1387 2022-09-12 18:51:56,039 - mmseg - INFO - Iter [27600/80000] lr: 9.405e-07, eta: 1 day, 4:11:13, time: 1.854, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8340, decode.loss_mask: 0.8021, decode.loss_dice: 1.2360, decode.d0.loss_cls: 2.7925, decode.d0.loss_mask: 0.7955, decode.d0.loss_dice: 1.4294, decode.d1.loss_cls: 0.9083, decode.d1.loss_mask: 0.8338, decode.d1.loss_dice: 1.3283, decode.d2.loss_cls: 0.8606, decode.d2.loss_mask: 0.8140, decode.d2.loss_dice: 1.2918, decode.d3.loss_cls: 0.8497, decode.d3.loss_mask: 0.8077, decode.d3.loss_dice: 1.2803, decode.d4.loss_cls: 0.8423, decode.d4.loss_mask: 0.8010, decode.d4.loss_dice: 1.2629, decode.d5.loss_cls: 0.8367, decode.d5.loss_mask: 0.8005, decode.d5.loss_dice: 1.2540, decode.d6.loss_cls: 0.8342, decode.d6.loss_mask: 0.8009, decode.d6.loss_dice: 1.2395, decode.d7.loss_cls: 0.8363, decode.d7.loss_mask: 0.7985, decode.d7.loss_dice: 1.2430, decode.d8.loss_cls: 0.8317, decode.d8.loss_mask: 0.7998, decode.d8.loss_dice: 1.2433, loss: 31.2887 2022-09-12 18:53:27,960 - mmseg - INFO - Iter [27650/80000] lr: 9.396e-07, eta: 1 day, 4:09:27, time: 1.836, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8269, decode.loss_mask: 0.7883, decode.loss_dice: 1.2327, decode.d0.loss_cls: 2.8225, decode.d0.loss_mask: 0.8006, decode.d0.loss_dice: 1.4360, decode.d1.loss_cls: 0.9044, decode.d1.loss_mask: 0.8220, decode.d1.loss_dice: 1.3308, decode.d2.loss_cls: 0.8576, decode.d2.loss_mask: 0.7991, decode.d2.loss_dice: 1.2740, decode.d3.loss_cls: 0.8483, decode.d3.loss_mask: 0.7926, decode.d3.loss_dice: 1.2580, decode.d4.loss_cls: 0.8487, decode.d4.loss_mask: 0.7911, decode.d4.loss_dice: 1.2534, decode.d5.loss_cls: 0.8444, decode.d5.loss_mask: 0.7902, decode.d5.loss_dice: 1.2438, decode.d6.loss_cls: 0.8381, decode.d6.loss_mask: 0.7876, decode.d6.loss_dice: 1.2349, decode.d7.loss_cls: 0.8309, decode.d7.loss_mask: 0.7889, decode.d7.loss_dice: 1.2347, decode.d8.loss_cls: 0.8265, decode.d8.loss_mask: 0.7845, decode.d8.loss_dice: 1.2411, loss: 31.1322 2022-09-12 18:54:58,717 - mmseg - INFO - Iter [27700/80000] lr: 9.387e-07, eta: 1 day, 4:07:39, time: 1.817, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8132, decode.loss_mask: 0.7993, decode.loss_dice: 1.2182, decode.d0.loss_cls: 2.7502, decode.d0.loss_mask: 0.7964, decode.d0.loss_dice: 1.4118, decode.d1.loss_cls: 0.8868, decode.d1.loss_mask: 0.8250, decode.d1.loss_dice: 1.3047, decode.d2.loss_cls: 0.8241, decode.d2.loss_mask: 0.8096, decode.d2.loss_dice: 1.2592, decode.d3.loss_cls: 0.8161, decode.d3.loss_mask: 0.8055, decode.d3.loss_dice: 1.2307, decode.d4.loss_cls: 0.8134, decode.d4.loss_mask: 0.8019, decode.d4.loss_dice: 1.2348, decode.d5.loss_cls: 0.8058, decode.d5.loss_mask: 0.8018, decode.d5.loss_dice: 1.2212, decode.d6.loss_cls: 0.8053, decode.d6.loss_mask: 0.8030, decode.d6.loss_dice: 1.2222, decode.d7.loss_cls: 0.8064, decode.d7.loss_mask: 0.8009, decode.d7.loss_dice: 1.2257, decode.d8.loss_cls: 0.8067, decode.d8.loss_mask: 0.7981, decode.d8.loss_dice: 1.2232, loss: 30.7210 2022-09-12 18:56:31,669 - mmseg - INFO - Iter [27750/80000] lr: 9.378e-07, eta: 1 day, 4:05:55, time: 1.859, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8300, decode.loss_mask: 0.7832, decode.loss_dice: 1.2359, decode.d0.loss_cls: 2.7495, decode.d0.loss_mask: 0.7808, decode.d0.loss_dice: 1.4355, decode.d1.loss_cls: 0.9154, decode.d1.loss_mask: 0.8098, decode.d1.loss_dice: 1.3311, decode.d2.loss_cls: 0.8635, decode.d2.loss_mask: 0.7961, decode.d2.loss_dice: 1.2782, decode.d3.loss_cls: 0.8574, decode.d3.loss_mask: 0.7840, decode.d3.loss_dice: 1.2522, decode.d4.loss_cls: 0.8502, decode.d4.loss_mask: 0.7806, decode.d4.loss_dice: 1.2463, decode.d5.loss_cls: 0.8426, decode.d5.loss_mask: 0.7805, decode.d5.loss_dice: 1.2441, decode.d6.loss_cls: 0.8416, decode.d6.loss_mask: 0.7762, decode.d6.loss_dice: 1.2329, decode.d7.loss_cls: 0.8433, decode.d7.loss_mask: 0.7765, decode.d7.loss_dice: 1.2401, decode.d8.loss_cls: 0.8331, decode.d8.loss_mask: 0.7823, decode.d8.loss_dice: 1.2422, loss: 31.0152 2022-09-12 18:58:03,382 - mmseg - INFO - Iter [27800/80000] lr: 9.369e-07, eta: 1 day, 4:04:09, time: 1.835, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8239, decode.loss_mask: 0.8005, decode.loss_dice: 1.2237, decode.d0.loss_cls: 2.7460, decode.d0.loss_mask: 0.8030, decode.d0.loss_dice: 1.4169, decode.d1.loss_cls: 0.8943, decode.d1.loss_mask: 0.8325, decode.d1.loss_dice: 1.3143, decode.d2.loss_cls: 0.8394, decode.d2.loss_mask: 0.8162, decode.d2.loss_dice: 1.2589, decode.d3.loss_cls: 0.8336, decode.d3.loss_mask: 0.8064, decode.d3.loss_dice: 1.2473, decode.d4.loss_cls: 0.8288, decode.d4.loss_mask: 0.8087, decode.d4.loss_dice: 1.2441, decode.d5.loss_cls: 0.8274, decode.d5.loss_mask: 0.8011, decode.d5.loss_dice: 1.2287, decode.d6.loss_cls: 0.8222, decode.d6.loss_mask: 0.7987, decode.d6.loss_dice: 1.2224, decode.d7.loss_cls: 0.8200, decode.d7.loss_mask: 0.8001, decode.d7.loss_dice: 1.2259, decode.d8.loss_cls: 0.8254, decode.d8.loss_mask: 0.8018, decode.d8.loss_dice: 1.2257, loss: 30.9381 2022-09-12 18:59:35,838 - mmseg - INFO - Iter [27850/80000] lr: 9.360e-07, eta: 1 day, 4:02:24, time: 1.849, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8053, decode.loss_mask: 0.8225, decode.loss_dice: 1.2277, decode.d0.loss_cls: 2.7210, decode.d0.loss_mask: 0.8143, decode.d0.loss_dice: 1.4205, decode.d1.loss_cls: 0.8673, decode.d1.loss_mask: 0.8458, decode.d1.loss_dice: 1.3202, decode.d2.loss_cls: 0.8332, decode.d2.loss_mask: 0.8330, decode.d2.loss_dice: 1.2695, decode.d3.loss_cls: 0.8224, decode.d3.loss_mask: 0.8300, decode.d3.loss_dice: 1.2462, decode.d4.loss_cls: 0.8126, decode.d4.loss_mask: 0.8334, decode.d4.loss_dice: 1.2408, decode.d5.loss_cls: 0.8032, decode.d5.loss_mask: 0.8266, decode.d5.loss_dice: 1.2396, decode.d6.loss_cls: 0.8101, decode.d6.loss_mask: 0.8219, decode.d6.loss_dice: 1.2236, decode.d7.loss_cls: 0.8060, decode.d7.loss_mask: 0.8263, decode.d7.loss_dice: 1.2325, decode.d8.loss_cls: 0.8086, decode.d8.loss_mask: 0.8201, decode.d8.loss_dice: 1.2338, loss: 31.0182 2022-09-12 19:01:08,916 - mmseg - INFO - Iter [27900/80000] lr: 9.351e-07, eta: 1 day, 4:00:40, time: 1.860, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8329, decode.loss_mask: 0.7981, decode.loss_dice: 1.2046, decode.d0.loss_cls: 2.7612, decode.d0.loss_mask: 0.7973, decode.d0.loss_dice: 1.3977, decode.d1.loss_cls: 0.9124, decode.d1.loss_mask: 0.8190, decode.d1.loss_dice: 1.2965, decode.d2.loss_cls: 0.8608, decode.d2.loss_mask: 0.8072, decode.d2.loss_dice: 1.2345, decode.d3.loss_cls: 0.8446, decode.d3.loss_mask: 0.8032, decode.d3.loss_dice: 1.2225, decode.d4.loss_cls: 0.8435, decode.d4.loss_mask: 0.7937, decode.d4.loss_dice: 1.2264, decode.d5.loss_cls: 0.8404, decode.d5.loss_mask: 0.7967, decode.d5.loss_dice: 1.2150, decode.d6.loss_cls: 0.8344, decode.d6.loss_mask: 0.7993, decode.d6.loss_dice: 1.2137, decode.d7.loss_cls: 0.8356, decode.d7.loss_mask: 0.7976, decode.d7.loss_dice: 1.2023, decode.d8.loss_cls: 0.8335, decode.d8.loss_mask: 0.8040, decode.d8.loss_dice: 1.2087, loss: 30.8372 2022-09-12 19:02:41,321 - mmseg - INFO - Iter [27950/80000] lr: 9.342e-07, eta: 1 day, 3:58:55, time: 1.850, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8685, decode.loss_mask: 0.7856, decode.loss_dice: 1.2395, decode.d0.loss_cls: 2.8255, decode.d0.loss_mask: 0.8001, decode.d0.loss_dice: 1.4411, decode.d1.loss_cls: 0.9535, decode.d1.loss_mask: 0.8203, decode.d1.loss_dice: 1.3184, decode.d2.loss_cls: 0.8896, decode.d2.loss_mask: 0.8022, decode.d2.loss_dice: 1.2691, decode.d3.loss_cls: 0.8904, decode.d3.loss_mask: 0.7975, decode.d3.loss_dice: 1.2527, decode.d4.loss_cls: 0.8859, decode.d4.loss_mask: 0.7962, decode.d4.loss_dice: 1.2560, decode.d5.loss_cls: 0.8835, decode.d5.loss_mask: 0.7884, decode.d5.loss_dice: 1.2449, decode.d6.loss_cls: 0.8772, decode.d6.loss_mask: 0.7839, decode.d6.loss_dice: 1.2370, decode.d7.loss_cls: 0.8688, decode.d7.loss_mask: 0.7859, decode.d7.loss_dice: 1.2405, decode.d8.loss_cls: 0.8699, decode.d8.loss_mask: 0.7845, decode.d8.loss_dice: 1.2355, loss: 31.4922 2022-09-12 19:04:13,281 - mmseg - INFO - Saving checkpoint at 28000 iterations 2022-09-12 19:04:44,444 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 19:04:44,455 - mmseg - INFO - Iter [28000/80000] lr: 9.333e-07, eta: 1 day, 3:58:07, time: 2.460, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8469, decode.loss_mask: 0.8039, decode.loss_dice: 1.2351, decode.d0.loss_cls: 2.7624, decode.d0.loss_mask: 0.7949, decode.d0.loss_dice: 1.4276, decode.d1.loss_cls: 0.9195, decode.d1.loss_mask: 0.8323, decode.d1.loss_dice: 1.3199, decode.d2.loss_cls: 0.8707, decode.d2.loss_mask: 0.8185, decode.d2.loss_dice: 1.2810, decode.d3.loss_cls: 0.8555, decode.d3.loss_mask: 0.8098, decode.d3.loss_dice: 1.2494, decode.d4.loss_cls: 0.8515, decode.d4.loss_mask: 0.8137, decode.d4.loss_dice: 1.2445, decode.d5.loss_cls: 0.8508, decode.d5.loss_mask: 0.8107, decode.d5.loss_dice: 1.2441, decode.d6.loss_cls: 0.8449, decode.d6.loss_mask: 0.8098, decode.d6.loss_dice: 1.2290, decode.d7.loss_cls: 0.8448, decode.d7.loss_mask: 0.8025, decode.d7.loss_dice: 1.2373, decode.d8.loss_cls: 0.8412, decode.d8.loss_mask: 0.8061, decode.d8.loss_dice: 1.2371, loss: 31.2955 2022-09-12 19:06:17,175 - mmseg - INFO - Iter [28050/80000] lr: 9.324e-07, eta: 1 day, 3:56:23, time: 1.857, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8600, decode.loss_mask: 0.7879, decode.loss_dice: 1.2426, decode.d0.loss_cls: 2.8043, decode.d0.loss_mask: 0.7895, decode.d0.loss_dice: 1.4155, decode.d1.loss_cls: 0.9366, decode.d1.loss_mask: 0.8229, decode.d1.loss_dice: 1.3282, decode.d2.loss_cls: 0.8857, decode.d2.loss_mask: 0.8039, decode.d2.loss_dice: 1.2844, decode.d3.loss_cls: 0.8760, decode.d3.loss_mask: 0.7958, decode.d3.loss_dice: 1.2497, decode.d4.loss_cls: 0.8671, decode.d4.loss_mask: 0.7959, decode.d4.loss_dice: 1.2497, decode.d5.loss_cls: 0.8589, decode.d5.loss_mask: 0.7913, decode.d5.loss_dice: 1.2486, decode.d6.loss_cls: 0.8542, decode.d6.loss_mask: 0.7885, decode.d6.loss_dice: 1.2334, decode.d7.loss_cls: 0.8538, decode.d7.loss_mask: 0.7906, decode.d7.loss_dice: 1.2405, decode.d8.loss_cls: 0.8623, decode.d8.loss_mask: 0.7857, decode.d8.loss_dice: 1.2437, loss: 31.3470 2022-09-12 19:07:49,826 - mmseg - INFO - Iter [28100/80000] lr: 9.315e-07, eta: 1 day, 3:54:38, time: 1.853, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8571, decode.loss_mask: 0.8003, decode.loss_dice: 1.2496, decode.d0.loss_cls: 2.7785, decode.d0.loss_mask: 0.8081, decode.d0.loss_dice: 1.4382, decode.d1.loss_cls: 0.9246, decode.d1.loss_mask: 0.8238, decode.d1.loss_dice: 1.3332, decode.d2.loss_cls: 0.8751, decode.d2.loss_mask: 0.8206, decode.d2.loss_dice: 1.2870, decode.d3.loss_cls: 0.8707, decode.d3.loss_mask: 0.8096, decode.d3.loss_dice: 1.2587, decode.d4.loss_cls: 0.8672, decode.d4.loss_mask: 0.8036, decode.d4.loss_dice: 1.2575, decode.d5.loss_cls: 0.8629, decode.d5.loss_mask: 0.8039, decode.d5.loss_dice: 1.2500, decode.d6.loss_cls: 0.8612, decode.d6.loss_mask: 0.8075, decode.d6.loss_dice: 1.2401, decode.d7.loss_cls: 0.8543, decode.d7.loss_mask: 0.8009, decode.d7.loss_dice: 1.2476, decode.d8.loss_cls: 0.8534, decode.d8.loss_mask: 0.8026, decode.d8.loss_dice: 1.2429, loss: 31.4908 2022-09-12 19:09:23,007 - mmseg - INFO - Iter [28150/80000] lr: 9.306e-07, eta: 1 day, 3:52:55, time: 1.864, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8466, decode.loss_mask: 0.7905, decode.loss_dice: 1.2110, decode.d0.loss_cls: 2.7524, decode.d0.loss_mask: 0.7933, decode.d0.loss_dice: 1.4038, decode.d1.loss_cls: 0.9187, decode.d1.loss_mask: 0.8117, decode.d1.loss_dice: 1.2998, decode.d2.loss_cls: 0.8622, decode.d2.loss_mask: 0.8076, decode.d2.loss_dice: 1.2547, decode.d3.loss_cls: 0.8509, decode.d3.loss_mask: 0.8008, decode.d3.loss_dice: 1.2328, decode.d4.loss_cls: 0.8484, decode.d4.loss_mask: 0.7965, decode.d4.loss_dice: 1.2229, decode.d5.loss_cls: 0.8451, decode.d5.loss_mask: 0.7937, decode.d5.loss_dice: 1.2222, decode.d6.loss_cls: 0.8442, decode.d6.loss_mask: 0.7855, decode.d6.loss_dice: 1.2056, decode.d7.loss_cls: 0.8427, decode.d7.loss_mask: 0.7891, decode.d7.loss_dice: 1.2129, decode.d8.loss_cls: 0.8394, decode.d8.loss_mask: 0.7930, decode.d8.loss_dice: 1.2130, loss: 30.8909 2022-09-12 19:10:55,020 - mmseg - INFO - Iter [28200/80000] lr: 9.297e-07, eta: 1 day, 3:51:09, time: 1.840, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8502, decode.loss_mask: 0.8142, decode.loss_dice: 1.2552, decode.d0.loss_cls: 2.8025, decode.d0.loss_mask: 0.8121, decode.d0.loss_dice: 1.4357, decode.d1.loss_cls: 0.9235, decode.d1.loss_mask: 0.8454, decode.d1.loss_dice: 1.3407, decode.d2.loss_cls: 0.8801, decode.d2.loss_mask: 0.8245, decode.d2.loss_dice: 1.2972, decode.d3.loss_cls: 0.8720, decode.d3.loss_mask: 0.8151, decode.d3.loss_dice: 1.2739, decode.d4.loss_cls: 0.8650, decode.d4.loss_mask: 0.8175, decode.d4.loss_dice: 1.2721, decode.d5.loss_cls: 0.8513, decode.d5.loss_mask: 0.8164, decode.d5.loss_dice: 1.2620, decode.d6.loss_cls: 0.8555, decode.d6.loss_mask: 0.8133, decode.d6.loss_dice: 1.2605, decode.d7.loss_cls: 0.8586, decode.d7.loss_mask: 0.8150, decode.d7.loss_dice: 1.2568, decode.d8.loss_cls: 0.8502, decode.d8.loss_mask: 0.8107, decode.d8.loss_dice: 1.2570, loss: 31.7042 2022-09-12 19:12:29,016 - mmseg - INFO - Iter [28250/80000] lr: 9.288e-07, eta: 1 day, 3:49:27, time: 1.879, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8766, decode.loss_mask: 0.7992, decode.loss_dice: 1.2514, decode.d0.loss_cls: 2.8133, decode.d0.loss_mask: 0.7947, decode.d0.loss_dice: 1.4378, decode.d1.loss_cls: 0.9484, decode.d1.loss_mask: 0.8192, decode.d1.loss_dice: 1.3362, decode.d2.loss_cls: 0.8963, decode.d2.loss_mask: 0.8045, decode.d2.loss_dice: 1.2819, decode.d3.loss_cls: 0.8833, decode.d3.loss_mask: 0.7979, decode.d3.loss_dice: 1.2741, decode.d4.loss_cls: 0.8828, decode.d4.loss_mask: 0.7982, decode.d4.loss_dice: 1.2645, decode.d5.loss_cls: 0.8774, decode.d5.loss_mask: 0.7991, decode.d5.loss_dice: 1.2600, decode.d6.loss_cls: 0.8624, decode.d6.loss_mask: 0.8036, decode.d6.loss_dice: 1.2567, decode.d7.loss_cls: 0.8660, decode.d7.loss_mask: 0.8004, decode.d7.loss_dice: 1.2489, decode.d8.loss_cls: 0.8675, decode.d8.loss_mask: 0.8034, decode.d8.loss_dice: 1.2468, loss: 31.6523 2022-09-12 19:14:01,432 - mmseg - INFO - Iter [28300/80000] lr: 9.279e-07, eta: 1 day, 3:47:43, time: 1.849, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8439, decode.loss_mask: 0.7855, decode.loss_dice: 1.2595, decode.d0.loss_cls: 2.7694, decode.d0.loss_mask: 0.7923, decode.d0.loss_dice: 1.4366, decode.d1.loss_cls: 0.9212, decode.d1.loss_mask: 0.8145, decode.d1.loss_dice: 1.3517, decode.d2.loss_cls: 0.8696, decode.d2.loss_mask: 0.8018, decode.d2.loss_dice: 1.2961, decode.d3.loss_cls: 0.8551, decode.d3.loss_mask: 0.7923, decode.d3.loss_dice: 1.2726, decode.d4.loss_cls: 0.8542, decode.d4.loss_mask: 0.7865, decode.d4.loss_dice: 1.2749, decode.d5.loss_cls: 0.8458, decode.d5.loss_mask: 0.7867, decode.d5.loss_dice: 1.2705, decode.d6.loss_cls: 0.8472, decode.d6.loss_mask: 0.7873, decode.d6.loss_dice: 1.2557, decode.d7.loss_cls: 0.8464, decode.d7.loss_mask: 0.7837, decode.d7.loss_dice: 1.2498, decode.d8.loss_cls: 0.8424, decode.d8.loss_mask: 0.7881, decode.d8.loss_dice: 1.2537, loss: 31.3350 2022-09-12 19:15:33,996 - mmseg - INFO - Iter [28350/80000] lr: 9.270e-07, eta: 1 day, 3:45:58, time: 1.851, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8699, decode.loss_mask: 0.7994, decode.loss_dice: 1.2385, decode.d0.loss_cls: 2.7823, decode.d0.loss_mask: 0.7912, decode.d0.loss_dice: 1.4416, decode.d1.loss_cls: 0.9349, decode.d1.loss_mask: 0.8135, decode.d1.loss_dice: 1.3388, decode.d2.loss_cls: 0.8931, decode.d2.loss_mask: 0.7964, decode.d2.loss_dice: 1.2918, decode.d3.loss_cls: 0.8830, decode.d3.loss_mask: 0.7919, decode.d3.loss_dice: 1.2555, decode.d4.loss_cls: 0.8785, decode.d4.loss_mask: 0.7937, decode.d4.loss_dice: 1.2523, decode.d5.loss_cls: 0.8726, decode.d5.loss_mask: 0.7962, decode.d5.loss_dice: 1.2492, decode.d6.loss_cls: 0.8675, decode.d6.loss_mask: 0.7927, decode.d6.loss_dice: 1.2373, decode.d7.loss_cls: 0.8659, decode.d7.loss_mask: 0.7942, decode.d7.loss_dice: 1.2349, decode.d8.loss_cls: 0.8633, decode.d8.loss_mask: 0.7937, decode.d8.loss_dice: 1.2427, loss: 31.4568 2022-09-12 19:17:06,488 - mmseg - INFO - Iter [28400/80000] lr: 9.261e-07, eta: 1 day, 3:44:14, time: 1.850, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8259, decode.loss_mask: 0.8034, decode.loss_dice: 1.2191, decode.d0.loss_cls: 2.7356, decode.d0.loss_mask: 0.8066, decode.d0.loss_dice: 1.4117, decode.d1.loss_cls: 0.8971, decode.d1.loss_mask: 0.8413, decode.d1.loss_dice: 1.3289, decode.d2.loss_cls: 0.8506, decode.d2.loss_mask: 0.8243, decode.d2.loss_dice: 1.2747, decode.d3.loss_cls: 0.8350, decode.d3.loss_mask: 0.8173, decode.d3.loss_dice: 1.2462, decode.d4.loss_cls: 0.8361, decode.d4.loss_mask: 0.8128, decode.d4.loss_dice: 1.2425, decode.d5.loss_cls: 0.8246, decode.d5.loss_mask: 0.8141, decode.d5.loss_dice: 1.2369, decode.d6.loss_cls: 0.8236, decode.d6.loss_mask: 0.8095, decode.d6.loss_dice: 1.2234, decode.d7.loss_cls: 0.8312, decode.d7.loss_mask: 0.8077, decode.d7.loss_dice: 1.2206, decode.d8.loss_cls: 0.8200, decode.d8.loss_mask: 0.8054, decode.d8.loss_dice: 1.2175, loss: 31.0436 2022-09-12 19:18:39,290 - mmseg - INFO - Iter [28450/80000] lr: 9.252e-07, eta: 1 day, 3:42:30, time: 1.855, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8598, decode.loss_mask: 0.8004, decode.loss_dice: 1.2148, decode.d0.loss_cls: 2.8067, decode.d0.loss_mask: 0.8120, decode.d0.loss_dice: 1.4147, decode.d1.loss_cls: 0.9460, decode.d1.loss_mask: 0.8344, decode.d1.loss_dice: 1.3080, decode.d2.loss_cls: 0.8898, decode.d2.loss_mask: 0.8188, decode.d2.loss_dice: 1.2561, decode.d3.loss_cls: 0.8729, decode.d3.loss_mask: 0.8109, decode.d3.loss_dice: 1.2329, decode.d4.loss_cls: 0.8778, decode.d4.loss_mask: 0.8070, decode.d4.loss_dice: 1.2296, decode.d5.loss_cls: 0.8649, decode.d5.loss_mask: 0.8055, decode.d5.loss_dice: 1.2236, decode.d6.loss_cls: 0.8654, decode.d6.loss_mask: 0.7965, decode.d6.loss_dice: 1.2169, decode.d7.loss_cls: 0.8655, decode.d7.loss_mask: 0.7949, decode.d7.loss_dice: 1.2144, decode.d8.loss_cls: 0.8570, decode.d8.loss_mask: 0.8007, decode.d8.loss_dice: 1.2174, loss: 31.3156 2022-09-12 19:20:12,098 - mmseg - INFO - Iter [28500/80000] lr: 9.243e-07, eta: 1 day, 3:40:46, time: 1.857, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8345, decode.loss_mask: 0.8283, decode.loss_dice: 1.2364, decode.d0.loss_cls: 2.7436, decode.d0.loss_mask: 0.8173, decode.d0.loss_dice: 1.4447, decode.d1.loss_cls: 0.9079, decode.d1.loss_mask: 0.8445, decode.d1.loss_dice: 1.3238, decode.d2.loss_cls: 0.8533, decode.d2.loss_mask: 0.8333, decode.d2.loss_dice: 1.2644, decode.d3.loss_cls: 0.8474, decode.d3.loss_mask: 0.8246, decode.d3.loss_dice: 1.2511, decode.d4.loss_cls: 0.8375, decode.d4.loss_mask: 0.8277, decode.d4.loss_dice: 1.2463, decode.d5.loss_cls: 0.8345, decode.d5.loss_mask: 0.8204, decode.d5.loss_dice: 1.2451, decode.d6.loss_cls: 0.8340, decode.d6.loss_mask: 0.8175, decode.d6.loss_dice: 1.2359, decode.d7.loss_cls: 0.8316, decode.d7.loss_mask: 0.8240, decode.d7.loss_dice: 1.2382, decode.d8.loss_cls: 0.8290, decode.d8.loss_mask: 0.8227, decode.d8.loss_dice: 1.2410, loss: 31.3405 2022-09-12 19:21:45,884 - mmseg - INFO - Iter [28550/80000] lr: 9.234e-07, eta: 1 day, 3:39:04, time: 1.876, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8527, decode.loss_mask: 0.8050, decode.loss_dice: 1.2619, decode.d0.loss_cls: 2.8257, decode.d0.loss_mask: 0.7964, decode.d0.loss_dice: 1.4596, decode.d1.loss_cls: 0.9353, decode.d1.loss_mask: 0.8296, decode.d1.loss_dice: 1.3325, decode.d2.loss_cls: 0.8857, decode.d2.loss_mask: 0.8198, decode.d2.loss_dice: 1.2915, decode.d3.loss_cls: 0.8713, decode.d3.loss_mask: 0.8111, decode.d3.loss_dice: 1.2671, decode.d4.loss_cls: 0.8648, decode.d4.loss_mask: 0.8148, decode.d4.loss_dice: 1.2665, decode.d5.loss_cls: 0.8526, decode.d5.loss_mask: 0.8156, decode.d5.loss_dice: 1.2669, decode.d6.loss_cls: 0.8463, decode.d6.loss_mask: 0.8074, decode.d6.loss_dice: 1.2496, decode.d7.loss_cls: 0.8521, decode.d7.loss_mask: 0.8040, decode.d7.loss_dice: 1.2507, decode.d8.loss_cls: 0.8501, decode.d8.loss_mask: 0.8053, decode.d8.loss_dice: 1.2600, loss: 31.6517 2022-09-12 19:23:18,020 - mmseg - INFO - Iter [28600/80000] lr: 9.225e-07, eta: 1 day, 3:37:19, time: 1.842, data_time: 0.017, memory: 42763, decode.loss_cls: 0.8368, decode.loss_mask: 0.7982, decode.loss_dice: 1.2546, decode.d0.loss_cls: 2.7976, decode.d0.loss_mask: 0.7932, decode.d0.loss_dice: 1.4569, decode.d1.loss_cls: 0.9156, decode.d1.loss_mask: 0.8248, decode.d1.loss_dice: 1.3521, decode.d2.loss_cls: 0.8652, decode.d2.loss_mask: 0.8129, decode.d2.loss_dice: 1.2983, decode.d3.loss_cls: 0.8580, decode.d3.loss_mask: 0.8030, decode.d3.loss_dice: 1.2729, decode.d4.loss_cls: 0.8405, decode.d4.loss_mask: 0.8033, decode.d4.loss_dice: 1.2763, decode.d5.loss_cls: 0.8390, decode.d5.loss_mask: 0.7981, decode.d5.loss_dice: 1.2643, decode.d6.loss_cls: 0.8418, decode.d6.loss_mask: 0.7973, decode.d6.loss_dice: 1.2548, decode.d7.loss_cls: 0.8387, decode.d7.loss_mask: 0.7971, decode.d7.loss_dice: 1.2574, decode.d8.loss_cls: 0.8306, decode.d8.loss_mask: 0.7961, decode.d8.loss_dice: 1.2559, loss: 31.4315 2022-09-12 19:24:50,311 - mmseg - INFO - Iter [28650/80000] lr: 9.216e-07, eta: 1 day, 3:35:34, time: 1.846, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8219, decode.loss_mask: 0.7736, decode.loss_dice: 1.2123, decode.d0.loss_cls: 2.8051, decode.d0.loss_mask: 0.7695, decode.d0.loss_dice: 1.3956, decode.d1.loss_cls: 0.8984, decode.d1.loss_mask: 0.8005, decode.d1.loss_dice: 1.3044, decode.d2.loss_cls: 0.8419, decode.d2.loss_mask: 0.7859, decode.d2.loss_dice: 1.2472, decode.d3.loss_cls: 0.8317, decode.d3.loss_mask: 0.7818, decode.d3.loss_dice: 1.2283, decode.d4.loss_cls: 0.8333, decode.d4.loss_mask: 0.7712, decode.d4.loss_dice: 1.2246, decode.d5.loss_cls: 0.8227, decode.d5.loss_mask: 0.7798, decode.d5.loss_dice: 1.2292, decode.d6.loss_cls: 0.8230, decode.d6.loss_mask: 0.7685, decode.d6.loss_dice: 1.2064, decode.d7.loss_cls: 0.8154, decode.d7.loss_mask: 0.7757, decode.d7.loss_dice: 1.2153, decode.d8.loss_cls: 0.8152, decode.d8.loss_mask: 0.7743, decode.d8.loss_dice: 1.2148, loss: 30.5678 2022-09-12 19:26:22,668 - mmseg - INFO - Iter [28700/80000] lr: 9.207e-07, eta: 1 day, 3:33:50, time: 1.847, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8628, decode.loss_mask: 0.7936, decode.loss_dice: 1.2512, decode.d0.loss_cls: 2.8133, decode.d0.loss_mask: 0.7879, decode.d0.loss_dice: 1.4606, decode.d1.loss_cls: 0.9264, decode.d1.loss_mask: 0.8290, decode.d1.loss_dice: 1.3544, decode.d2.loss_cls: 0.8783, decode.d2.loss_mask: 0.8077, decode.d2.loss_dice: 1.2937, decode.d3.loss_cls: 0.8759, decode.d3.loss_mask: 0.7984, decode.d3.loss_dice: 1.2653, decode.d4.loss_cls: 0.8702, decode.d4.loss_mask: 0.7930, decode.d4.loss_dice: 1.2620, decode.d5.loss_cls: 0.8652, decode.d5.loss_mask: 0.7944, decode.d5.loss_dice: 1.2591, decode.d6.loss_cls: 0.8625, decode.d6.loss_mask: 0.7885, decode.d6.loss_dice: 1.2536, decode.d7.loss_cls: 0.8605, decode.d7.loss_mask: 0.7884, decode.d7.loss_dice: 1.2541, decode.d8.loss_cls: 0.8647, decode.d8.loss_mask: 0.7884, decode.d8.loss_dice: 1.2510, loss: 31.5539 2022-09-12 19:27:55,689 - mmseg - INFO - Iter [28750/80000] lr: 9.198e-07, eta: 1 day, 3:32:06, time: 1.860, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8324, decode.loss_mask: 0.7771, decode.loss_dice: 1.2105, decode.d0.loss_cls: 2.7601, decode.d0.loss_mask: 0.7860, decode.d0.loss_dice: 1.4059, decode.d1.loss_cls: 0.9036, decode.d1.loss_mask: 0.8081, decode.d1.loss_dice: 1.2978, decode.d2.loss_cls: 0.8509, decode.d2.loss_mask: 0.7905, decode.d2.loss_dice: 1.2458, decode.d3.loss_cls: 0.8389, decode.d3.loss_mask: 0.7834, decode.d3.loss_dice: 1.2238, decode.d4.loss_cls: 0.8406, decode.d4.loss_mask: 0.7824, decode.d4.loss_dice: 1.2220, decode.d5.loss_cls: 0.8372, decode.d5.loss_mask: 0.7798, decode.d5.loss_dice: 1.2175, decode.d6.loss_cls: 0.8315, decode.d6.loss_mask: 0.7781, decode.d6.loss_dice: 1.2035, decode.d7.loss_cls: 0.8257, decode.d7.loss_mask: 0.7771, decode.d7.loss_dice: 1.2111, decode.d8.loss_cls: 0.8228, decode.d8.loss_mask: 0.7766, decode.d8.loss_dice: 1.2129, loss: 30.6334 2022-09-12 19:29:29,445 - mmseg - INFO - Iter [28800/80000] lr: 9.189e-07, eta: 1 day, 3:30:24, time: 1.875, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8752, decode.loss_mask: 0.8041, decode.loss_dice: 1.2537, decode.d0.loss_cls: 2.7945, decode.d0.loss_mask: 0.8081, decode.d0.loss_dice: 1.4625, decode.d1.loss_cls: 0.9486, decode.d1.loss_mask: 0.8401, decode.d1.loss_dice: 1.3603, decode.d2.loss_cls: 0.8842, decode.d2.loss_mask: 0.8267, decode.d2.loss_dice: 1.3007, decode.d3.loss_cls: 0.8814, decode.d3.loss_mask: 0.8150, decode.d3.loss_dice: 1.2726, decode.d4.loss_cls: 0.8745, decode.d4.loss_mask: 0.8119, decode.d4.loss_dice: 1.2762, decode.d5.loss_cls: 0.8682, decode.d5.loss_mask: 0.8056, decode.d5.loss_dice: 1.2566, decode.d6.loss_cls: 0.8731, decode.d6.loss_mask: 0.7995, decode.d6.loss_dice: 1.2486, decode.d7.loss_cls: 0.8730, decode.d7.loss_mask: 0.8032, decode.d7.loss_dice: 1.2579, decode.d8.loss_cls: 0.8685, decode.d8.loss_mask: 0.8044, decode.d8.loss_dice: 1.2553, loss: 31.8042 2022-09-12 19:31:02,534 - mmseg - INFO - Iter [28850/80000] lr: 9.180e-07, eta: 1 day, 3:28:41, time: 1.862, data_time: 0.012, memory: 42763, decode.loss_cls: 0.8162, decode.loss_mask: 0.7859, decode.loss_dice: 1.1666, decode.d0.loss_cls: 2.6769, decode.d0.loss_mask: 0.7880, decode.d0.loss_dice: 1.3486, decode.d1.loss_cls: 0.8944, decode.d1.loss_mask: 0.8154, decode.d1.loss_dice: 1.2469, decode.d2.loss_cls: 0.8330, decode.d2.loss_mask: 0.7979, decode.d2.loss_dice: 1.2108, decode.d3.loss_cls: 0.8248, decode.d3.loss_mask: 0.7930, decode.d3.loss_dice: 1.1878, decode.d4.loss_cls: 0.8195, decode.d4.loss_mask: 0.7952, decode.d4.loss_dice: 1.1808, decode.d5.loss_cls: 0.8179, decode.d5.loss_mask: 0.7894, decode.d5.loss_dice: 1.1781, decode.d6.loss_cls: 0.8196, decode.d6.loss_mask: 0.7870, decode.d6.loss_dice: 1.1727, decode.d7.loss_cls: 0.8213, decode.d7.loss_mask: 0.7901, decode.d7.loss_dice: 1.1704, decode.d8.loss_cls: 0.8191, decode.d8.loss_mask: 0.7872, decode.d8.loss_dice: 1.1723, loss: 30.1067 2022-09-12 19:32:35,696 - mmseg - INFO - Iter [28900/80000] lr: 9.171e-07, eta: 1 day, 3:26:58, time: 1.863, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8561, decode.loss_mask: 0.7808, decode.loss_dice: 1.2368, decode.d0.loss_cls: 2.8062, decode.d0.loss_mask: 0.7766, decode.d0.loss_dice: 1.4302, decode.d1.loss_cls: 0.9343, decode.d1.loss_mask: 0.8050, decode.d1.loss_dice: 1.3255, decode.d2.loss_cls: 0.8949, decode.d2.loss_mask: 0.7860, decode.d2.loss_dice: 1.2774, decode.d3.loss_cls: 0.8709, decode.d3.loss_mask: 0.7884, decode.d3.loss_dice: 1.2578, decode.d4.loss_cls: 0.8702, decode.d4.loss_mask: 0.7875, decode.d4.loss_dice: 1.2549, decode.d5.loss_cls: 0.8693, decode.d5.loss_mask: 0.7817, decode.d5.loss_dice: 1.2467, decode.d6.loss_cls: 0.8592, decode.d6.loss_mask: 0.7801, decode.d6.loss_dice: 1.2402, decode.d7.loss_cls: 0.8574, decode.d7.loss_mask: 0.7814, decode.d7.loss_dice: 1.2360, decode.d8.loss_cls: 0.8516, decode.d8.loss_mask: 0.7797, decode.d8.loss_dice: 1.2374, loss: 31.2601 2022-09-12 19:34:08,561 - mmseg - INFO - Iter [28950/80000] lr: 9.162e-07, eta: 1 day, 3:25:15, time: 1.857, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8492, decode.loss_mask: 0.7966, decode.loss_dice: 1.2451, decode.d0.loss_cls: 2.7579, decode.d0.loss_mask: 0.7909, decode.d0.loss_dice: 1.4346, decode.d1.loss_cls: 0.9233, decode.d1.loss_mask: 0.8215, decode.d1.loss_dice: 1.3461, decode.d2.loss_cls: 0.8731, decode.d2.loss_mask: 0.8089, decode.d2.loss_dice: 1.2946, decode.d3.loss_cls: 0.8683, decode.d3.loss_mask: 0.8016, decode.d3.loss_dice: 1.2677, decode.d4.loss_cls: 0.8559, decode.d4.loss_mask: 0.8007, decode.d4.loss_dice: 1.2638, decode.d5.loss_cls: 0.8590, decode.d5.loss_mask: 0.7925, decode.d5.loss_dice: 1.2521, decode.d6.loss_cls: 0.8578, decode.d6.loss_mask: 0.7910, decode.d6.loss_dice: 1.2407, decode.d7.loss_cls: 0.8468, decode.d7.loss_mask: 0.7991, decode.d7.loss_dice: 1.2487, decode.d8.loss_cls: 0.8425, decode.d8.loss_mask: 0.8012, decode.d8.loss_dice: 1.2534, loss: 31.3845 2022-09-12 19:35:41,111 - mmseg - INFO - Saving checkpoint at 29000 iterations 2022-09-12 19:36:10,803 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 19:36:10,806 - mmseg - INFO - Iter [29000/80000] lr: 9.153e-07, eta: 1 day, 3:24:23, time: 2.443, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8597, decode.loss_mask: 0.7978, decode.loss_dice: 1.2451, decode.d0.loss_cls: 2.7970, decode.d0.loss_mask: 0.7957, decode.d0.loss_dice: 1.4478, decode.d1.loss_cls: 0.9414, decode.d1.loss_mask: 0.8253, decode.d1.loss_dice: 1.3525, decode.d2.loss_cls: 0.8859, decode.d2.loss_mask: 0.8075, decode.d2.loss_dice: 1.2912, decode.d3.loss_cls: 0.8799, decode.d3.loss_mask: 0.8039, decode.d3.loss_dice: 1.2657, decode.d4.loss_cls: 0.8651, decode.d4.loss_mask: 0.8081, decode.d4.loss_dice: 1.2656, decode.d5.loss_cls: 0.8604, decode.d5.loss_mask: 0.8098, decode.d5.loss_dice: 1.2598, decode.d6.loss_cls: 0.8659, decode.d6.loss_mask: 0.8002, decode.d6.loss_dice: 1.2500, decode.d7.loss_cls: 0.8577, decode.d7.loss_mask: 0.8017, decode.d7.loss_dice: 1.2514, decode.d8.loss_cls: 0.8645, decode.d8.loss_mask: 0.7946, decode.d8.loss_dice: 1.2405, loss: 31.5916 2022-09-12 19:37:44,291 - mmseg - INFO - Iter [29050/80000] lr: 9.144e-07, eta: 1 day, 3:22:41, time: 1.872, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8683, decode.loss_mask: 0.7923, decode.loss_dice: 1.2547, decode.d0.loss_cls: 2.8487, decode.d0.loss_mask: 0.7954, decode.d0.loss_dice: 1.4625, decode.d1.loss_cls: 0.9572, decode.d1.loss_mask: 0.8194, decode.d1.loss_dice: 1.3445, decode.d2.loss_cls: 0.9004, decode.d2.loss_mask: 0.8058, decode.d2.loss_dice: 1.2974, decode.d3.loss_cls: 0.8863, decode.d3.loss_mask: 0.7969, decode.d3.loss_dice: 1.2798, decode.d4.loss_cls: 0.8855, decode.d4.loss_mask: 0.7983, decode.d4.loss_dice: 1.2721, decode.d5.loss_cls: 0.8702, decode.d5.loss_mask: 0.7956, decode.d5.loss_dice: 1.2567, decode.d6.loss_cls: 0.8699, decode.d6.loss_mask: 0.7895, decode.d6.loss_dice: 1.2541, decode.d7.loss_cls: 0.8695, decode.d7.loss_mask: 0.7891, decode.d7.loss_dice: 1.2567, decode.d8.loss_cls: 0.8666, decode.d8.loss_mask: 0.7907, decode.d8.loss_dice: 1.2519, loss: 31.7259 2022-09-12 19:39:16,855 - mmseg - INFO - Iter [29100/80000] lr: 9.135e-07, eta: 1 day, 3:20:57, time: 1.851, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8536, decode.loss_mask: 0.7957, decode.loss_dice: 1.2345, decode.d0.loss_cls: 2.7795, decode.d0.loss_mask: 0.8025, decode.d0.loss_dice: 1.4396, decode.d1.loss_cls: 0.9291, decode.d1.loss_mask: 0.8170, decode.d1.loss_dice: 1.3238, decode.d2.loss_cls: 0.8855, decode.d2.loss_mask: 0.8102, decode.d2.loss_dice: 1.2820, decode.d3.loss_cls: 0.8677, decode.d3.loss_mask: 0.8021, decode.d3.loss_dice: 1.2551, decode.d4.loss_cls: 0.8635, decode.d4.loss_mask: 0.7986, decode.d4.loss_dice: 1.2534, decode.d5.loss_cls: 0.8598, decode.d5.loss_mask: 0.7960, decode.d5.loss_dice: 1.2420, decode.d6.loss_cls: 0.8565, decode.d6.loss_mask: 0.7928, decode.d6.loss_dice: 1.2327, decode.d7.loss_cls: 0.8539, decode.d7.loss_mask: 0.7920, decode.d7.loss_dice: 1.2344, decode.d8.loss_cls: 0.8571, decode.d8.loss_mask: 0.7926, decode.d8.loss_dice: 1.2349, loss: 31.3383 2022-09-12 19:40:50,158 - mmseg - INFO - Iter [29150/80000] lr: 9.126e-07, eta: 1 day, 3:19:14, time: 1.866, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8609, decode.loss_mask: 0.7813, decode.loss_dice: 1.2717, decode.d0.loss_cls: 2.8407, decode.d0.loss_mask: 0.7771, decode.d0.loss_dice: 1.4542, decode.d1.loss_cls: 0.9320, decode.d1.loss_mask: 0.8057, decode.d1.loss_dice: 1.3557, decode.d2.loss_cls: 0.8943, decode.d2.loss_mask: 0.7940, decode.d2.loss_dice: 1.3100, decode.d3.loss_cls: 0.8807, decode.d3.loss_mask: 0.7968, decode.d3.loss_dice: 1.2916, decode.d4.loss_cls: 0.8819, decode.d4.loss_mask: 0.7867, decode.d4.loss_dice: 1.2858, decode.d5.loss_cls: 0.8763, decode.d5.loss_mask: 0.7852, decode.d5.loss_dice: 1.2795, decode.d6.loss_cls: 0.8672, decode.d6.loss_mask: 0.7814, decode.d6.loss_dice: 1.2716, decode.d7.loss_cls: 0.8588, decode.d7.loss_mask: 0.7876, decode.d7.loss_dice: 1.2726, decode.d8.loss_cls: 0.8608, decode.d8.loss_mask: 0.7823, decode.d8.loss_dice: 1.2689, loss: 31.6932 2022-09-12 19:42:23,450 - mmseg - INFO - Iter [29200/80000] lr: 9.117e-07, eta: 1 day, 3:17:31, time: 1.866, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8344, decode.loss_mask: 0.8005, decode.loss_dice: 1.2382, decode.d0.loss_cls: 2.7929, decode.d0.loss_mask: 0.7834, decode.d0.loss_dice: 1.4256, decode.d1.loss_cls: 0.9205, decode.d1.loss_mask: 0.8192, decode.d1.loss_dice: 1.3171, decode.d2.loss_cls: 0.8693, decode.d2.loss_mask: 0.8076, decode.d2.loss_dice: 1.2778, decode.d3.loss_cls: 0.8587, decode.d3.loss_mask: 0.7949, decode.d3.loss_dice: 1.2435, decode.d4.loss_cls: 0.8565, decode.d4.loss_mask: 0.7937, decode.d4.loss_dice: 1.2419, decode.d5.loss_cls: 0.8406, decode.d5.loss_mask: 0.7978, decode.d5.loss_dice: 1.2372, decode.d6.loss_cls: 0.8407, decode.d6.loss_mask: 0.7935, decode.d6.loss_dice: 1.2318, decode.d7.loss_cls: 0.8381, decode.d7.loss_mask: 0.7969, decode.d7.loss_dice: 1.2355, decode.d8.loss_cls: 0.8339, decode.d8.loss_mask: 0.7948, decode.d8.loss_dice: 1.2363, loss: 31.1526 2022-09-12 19:43:55,283 - mmseg - INFO - Iter [29250/80000] lr: 9.109e-07, eta: 1 day, 3:15:46, time: 1.837, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8491, decode.loss_mask: 0.8170, decode.loss_dice: 1.2444, decode.d0.loss_cls: 2.8040, decode.d0.loss_mask: 0.8123, decode.d0.loss_dice: 1.4315, decode.d1.loss_cls: 0.9136, decode.d1.loss_mask: 0.8499, decode.d1.loss_dice: 1.3336, decode.d2.loss_cls: 0.8639, decode.d2.loss_mask: 0.8349, decode.d2.loss_dice: 1.2813, decode.d3.loss_cls: 0.8621, decode.d3.loss_mask: 0.8221, decode.d3.loss_dice: 1.2545, decode.d4.loss_cls: 0.8537, decode.d4.loss_mask: 0.8201, decode.d4.loss_dice: 1.2536, decode.d5.loss_cls: 0.8450, decode.d5.loss_mask: 0.8111, decode.d5.loss_dice: 1.2495, decode.d6.loss_cls: 0.8495, decode.d6.loss_mask: 0.8129, decode.d6.loss_dice: 1.2393, decode.d7.loss_cls: 0.8438, decode.d7.loss_mask: 0.8116, decode.d7.loss_dice: 1.2442, decode.d8.loss_cls: 0.8458, decode.d8.loss_mask: 0.8143, decode.d8.loss_dice: 1.2386, loss: 31.5072 2022-09-12 19:45:28,810 - mmseg - INFO - Iter [29300/80000] lr: 9.100e-07, eta: 1 day, 3:14:04, time: 1.871, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8332, decode.loss_mask: 0.8044, decode.loss_dice: 1.1975, decode.d0.loss_cls: 2.7127, decode.d0.loss_mask: 0.8096, decode.d0.loss_dice: 1.3926, decode.d1.loss_cls: 0.9269, decode.d1.loss_mask: 0.8251, decode.d1.loss_dice: 1.2892, decode.d2.loss_cls: 0.8680, decode.d2.loss_mask: 0.8048, decode.d2.loss_dice: 1.2346, decode.d3.loss_cls: 0.8495, decode.d3.loss_mask: 0.8024, decode.d3.loss_dice: 1.2123, decode.d4.loss_cls: 0.8431, decode.d4.loss_mask: 0.8030, decode.d4.loss_dice: 1.2079, decode.d5.loss_cls: 0.8390, decode.d5.loss_mask: 0.8002, decode.d5.loss_dice: 1.1978, decode.d6.loss_cls: 0.8467, decode.d6.loss_mask: 0.7952, decode.d6.loss_dice: 1.1871, decode.d7.loss_cls: 0.8364, decode.d7.loss_mask: 0.8029, decode.d7.loss_dice: 1.1896, decode.d8.loss_cls: 0.8349, decode.d8.loss_mask: 0.8039, decode.d8.loss_dice: 1.1975, loss: 30.7479 2022-09-12 19:47:02,466 - mmseg - INFO - Iter [29350/80000] lr: 9.091e-07, eta: 1 day, 3:12:22, time: 1.873, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8408, decode.loss_mask: 0.7839, decode.loss_dice: 1.2075, decode.d0.loss_cls: 2.7207, decode.d0.loss_mask: 0.7822, decode.d0.loss_dice: 1.3930, decode.d1.loss_cls: 0.9050, decode.d1.loss_mask: 0.8031, decode.d1.loss_dice: 1.2932, decode.d2.loss_cls: 0.8615, decode.d2.loss_mask: 0.7906, decode.d2.loss_dice: 1.2442, decode.d3.loss_cls: 0.8468, decode.d3.loss_mask: 0.7843, decode.d3.loss_dice: 1.2181, decode.d4.loss_cls: 0.8465, decode.d4.loss_mask: 0.7829, decode.d4.loss_dice: 1.2227, decode.d5.loss_cls: 0.8365, decode.d5.loss_mask: 0.7841, decode.d5.loss_dice: 1.2113, decode.d6.loss_cls: 0.8430, decode.d6.loss_mask: 0.7799, decode.d6.loss_dice: 1.1998, decode.d7.loss_cls: 0.8351, decode.d7.loss_mask: 0.7806, decode.d7.loss_dice: 1.2024, decode.d8.loss_cls: 0.8414, decode.d8.loss_mask: 0.7801, decode.d8.loss_dice: 1.1997, loss: 30.6211 2022-09-12 19:48:35,122 - mmseg - INFO - Iter [29400/80000] lr: 9.082e-07, eta: 1 day, 3:10:38, time: 1.853, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8377, decode.loss_mask: 0.7933, decode.loss_dice: 1.2304, decode.d0.loss_cls: 2.7301, decode.d0.loss_mask: 0.7933, decode.d0.loss_dice: 1.4272, decode.d1.loss_cls: 0.9059, decode.d1.loss_mask: 0.8153, decode.d1.loss_dice: 1.3098, decode.d2.loss_cls: 0.8567, decode.d2.loss_mask: 0.8010, decode.d2.loss_dice: 1.2768, decode.d3.loss_cls: 0.8506, decode.d3.loss_mask: 0.7900, decode.d3.loss_dice: 1.2483, decode.d4.loss_cls: 0.8395, decode.d4.loss_mask: 0.7925, decode.d4.loss_dice: 1.2467, decode.d5.loss_cls: 0.8298, decode.d5.loss_mask: 0.7899, decode.d5.loss_dice: 1.2361, decode.d6.loss_cls: 0.8341, decode.d6.loss_mask: 0.7890, decode.d6.loss_dice: 1.2359, decode.d7.loss_cls: 0.8322, decode.d7.loss_mask: 0.7932, decode.d7.loss_dice: 1.2343, decode.d8.loss_cls: 0.8328, decode.d8.loss_mask: 0.7905, decode.d8.loss_dice: 1.2332, loss: 30.9760 2022-09-12 19:50:08,426 - mmseg - INFO - Iter [29450/80000] lr: 9.073e-07, eta: 1 day, 3:08:56, time: 1.865, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8492, decode.loss_mask: 0.8001, decode.loss_dice: 1.2578, decode.d0.loss_cls: 2.8193, decode.d0.loss_mask: 0.7928, decode.d0.loss_dice: 1.4534, decode.d1.loss_cls: 0.9291, decode.d1.loss_mask: 0.8216, decode.d1.loss_dice: 1.3501, decode.d2.loss_cls: 0.8718, decode.d2.loss_mask: 0.8136, decode.d2.loss_dice: 1.2951, decode.d3.loss_cls: 0.8683, decode.d3.loss_mask: 0.8028, decode.d3.loss_dice: 1.2728, decode.d4.loss_cls: 0.8617, decode.d4.loss_mask: 0.7982, decode.d4.loss_dice: 1.2769, decode.d5.loss_cls: 0.8550, decode.d5.loss_mask: 0.7987, decode.d5.loss_dice: 1.2669, decode.d6.loss_cls: 0.8580, decode.d6.loss_mask: 0.7959, decode.d6.loss_dice: 1.2536, decode.d7.loss_cls: 0.8502, decode.d7.loss_mask: 0.7967, decode.d7.loss_dice: 1.2532, decode.d8.loss_cls: 0.8515, decode.d8.loss_mask: 0.7982, decode.d8.loss_dice: 1.2585, loss: 31.5708 2022-09-12 19:51:42,118 - mmseg - INFO - Iter [29500/80000] lr: 9.064e-07, eta: 1 day, 3:07:14, time: 1.876, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8466, decode.loss_mask: 0.7946, decode.loss_dice: 1.2449, decode.d0.loss_cls: 2.7862, decode.d0.loss_mask: 0.7927, decode.d0.loss_dice: 1.4382, decode.d1.loss_cls: 0.9323, decode.d1.loss_mask: 0.8292, decode.d1.loss_dice: 1.3288, decode.d2.loss_cls: 0.8644, decode.d2.loss_mask: 0.8048, decode.d2.loss_dice: 1.2840, decode.d3.loss_cls: 0.8564, decode.d3.loss_mask: 0.8004, decode.d3.loss_dice: 1.2624, decode.d4.loss_cls: 0.8552, decode.d4.loss_mask: 0.7994, decode.d4.loss_dice: 1.2570, decode.d5.loss_cls: 0.8503, decode.d5.loss_mask: 0.7990, decode.d5.loss_dice: 1.2486, decode.d6.loss_cls: 0.8491, decode.d6.loss_mask: 0.7979, decode.d6.loss_dice: 1.2455, decode.d7.loss_cls: 0.8473, decode.d7.loss_mask: 0.8006, decode.d7.loss_dice: 1.2412, decode.d8.loss_cls: 0.8439, decode.d8.loss_mask: 0.7996, decode.d8.loss_dice: 1.2483, loss: 31.3488 2022-09-12 19:53:15,758 - mmseg - INFO - Iter [29550/80000] lr: 9.055e-07, eta: 1 day, 3:05:32, time: 1.873, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8231, decode.loss_mask: 0.7943, decode.loss_dice: 1.2349, decode.d0.loss_cls: 2.7012, decode.d0.loss_mask: 0.7929, decode.d0.loss_dice: 1.4246, decode.d1.loss_cls: 0.8906, decode.d1.loss_mask: 0.8217, decode.d1.loss_dice: 1.3224, decode.d2.loss_cls: 0.8442, decode.d2.loss_mask: 0.8063, decode.d2.loss_dice: 1.2819, decode.d3.loss_cls: 0.8333, decode.d3.loss_mask: 0.8043, decode.d3.loss_dice: 1.2658, decode.d4.loss_cls: 0.8256, decode.d4.loss_mask: 0.8033, decode.d4.loss_dice: 1.2557, decode.d5.loss_cls: 0.8174, decode.d5.loss_mask: 0.8081, decode.d5.loss_dice: 1.2498, decode.d6.loss_cls: 0.8154, decode.d6.loss_mask: 0.8003, decode.d6.loss_dice: 1.2359, decode.d7.loss_cls: 0.8227, decode.d7.loss_mask: 0.7993, decode.d7.loss_dice: 1.2418, decode.d8.loss_cls: 0.8164, decode.d8.loss_mask: 0.7932, decode.d8.loss_dice: 1.2368, loss: 30.9633 2022-09-12 19:54:52,714 - mmseg - INFO - Iter [29600/80000] lr: 9.046e-07, eta: 1 day, 3:03:56, time: 1.939, data_time: 0.061, memory: 42763, decode.loss_cls: 0.8397, decode.loss_mask: 0.7819, decode.loss_dice: 1.2211, decode.d0.loss_cls: 2.7857, decode.d0.loss_mask: 0.7893, decode.d0.loss_dice: 1.4115, decode.d1.loss_cls: 0.9224, decode.d1.loss_mask: 0.8040, decode.d1.loss_dice: 1.3220, decode.d2.loss_cls: 0.8612, decode.d2.loss_mask: 0.7977, decode.d2.loss_dice: 1.2677, decode.d3.loss_cls: 0.8527, decode.d3.loss_mask: 0.7905, decode.d3.loss_dice: 1.2433, decode.d4.loss_cls: 0.8484, decode.d4.loss_mask: 0.7891, decode.d4.loss_dice: 1.2394, decode.d5.loss_cls: 0.8501, decode.d5.loss_mask: 0.7864, decode.d5.loss_dice: 1.2332, decode.d6.loss_cls: 0.8500, decode.d6.loss_mask: 0.7807, decode.d6.loss_dice: 1.2137, decode.d7.loss_cls: 0.8516, decode.d7.loss_mask: 0.7829, decode.d7.loss_dice: 1.2187, decode.d8.loss_cls: 0.8455, decode.d8.loss_mask: 0.7810, decode.d8.loss_dice: 1.2225, loss: 30.9836 2022-09-12 19:56:25,925 - mmseg - INFO - Iter [29650/80000] lr: 9.037e-07, eta: 1 day, 3:02:13, time: 1.862, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8374, decode.loss_mask: 0.7979, decode.loss_dice: 1.2557, decode.d0.loss_cls: 2.7692, decode.d0.loss_mask: 0.7937, decode.d0.loss_dice: 1.4367, decode.d1.loss_cls: 0.9092, decode.d1.loss_mask: 0.8262, decode.d1.loss_dice: 1.3289, decode.d2.loss_cls: 0.8656, decode.d2.loss_mask: 0.8122, decode.d2.loss_dice: 1.2900, decode.d3.loss_cls: 0.8598, decode.d3.loss_mask: 0.8026, decode.d3.loss_dice: 1.2693, decode.d4.loss_cls: 0.8563, decode.d4.loss_mask: 0.8004, decode.d4.loss_dice: 1.2663, decode.d5.loss_cls: 0.8499, decode.d5.loss_mask: 0.7996, decode.d5.loss_dice: 1.2618, decode.d6.loss_cls: 0.8469, decode.d6.loss_mask: 0.7960, decode.d6.loss_dice: 1.2478, decode.d7.loss_cls: 0.8445, decode.d7.loss_mask: 0.7939, decode.d7.loss_dice: 1.2529, decode.d8.loss_cls: 0.8304, decode.d8.loss_mask: 0.7951, decode.d8.loss_dice: 1.2566, loss: 31.3527 2022-09-12 19:57:58,502 - mmseg - INFO - Iter [29700/80000] lr: 9.028e-07, eta: 1 day, 3:00:30, time: 1.853, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8274, decode.loss_mask: 0.8095, decode.loss_dice: 1.2049, decode.d0.loss_cls: 2.7532, decode.d0.loss_mask: 0.8149, decode.d0.loss_dice: 1.4133, decode.d1.loss_cls: 0.8975, decode.d1.loss_mask: 0.8360, decode.d1.loss_dice: 1.3028, decode.d2.loss_cls: 0.8545, decode.d2.loss_mask: 0.8275, decode.d2.loss_dice: 1.2512, decode.d3.loss_cls: 0.8413, decode.d3.loss_mask: 0.8180, decode.d3.loss_dice: 1.2291, decode.d4.loss_cls: 0.8338, decode.d4.loss_mask: 0.8177, decode.d4.loss_dice: 1.2277, decode.d5.loss_cls: 0.8333, decode.d5.loss_mask: 0.8117, decode.d5.loss_dice: 1.2233, decode.d6.loss_cls: 0.8277, decode.d6.loss_mask: 0.8111, decode.d6.loss_dice: 1.2106, decode.d7.loss_cls: 0.8246, decode.d7.loss_mask: 0.8120, decode.d7.loss_dice: 1.2173, decode.d8.loss_cls: 0.8244, decode.d8.loss_mask: 0.8110, decode.d8.loss_dice: 1.2134, loss: 30.9807 2022-09-12 19:59:31,138 - mmseg - INFO - Iter [29750/80000] lr: 9.019e-07, eta: 1 day, 2:58:47, time: 1.853, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8206, decode.loss_mask: 0.8077, decode.loss_dice: 1.2249, decode.d0.loss_cls: 2.7375, decode.d0.loss_mask: 0.8110, decode.d0.loss_dice: 1.4255, decode.d1.loss_cls: 0.8861, decode.d1.loss_mask: 0.8413, decode.d1.loss_dice: 1.3164, decode.d2.loss_cls: 0.8399, decode.d2.loss_mask: 0.8200, decode.d2.loss_dice: 1.2572, decode.d3.loss_cls: 0.8342, decode.d3.loss_mask: 0.8126, decode.d3.loss_dice: 1.2408, decode.d4.loss_cls: 0.8274, decode.d4.loss_mask: 0.8093, decode.d4.loss_dice: 1.2445, decode.d5.loss_cls: 0.8213, decode.d5.loss_mask: 0.8053, decode.d5.loss_dice: 1.2376, decode.d6.loss_cls: 0.8186, decode.d6.loss_mask: 0.8078, decode.d6.loss_dice: 1.2242, decode.d7.loss_cls: 0.8234, decode.d7.loss_mask: 0.8060, decode.d7.loss_dice: 1.2264, decode.d8.loss_cls: 0.8143, decode.d8.loss_mask: 0.8087, decode.d8.loss_dice: 1.2231, loss: 30.9736 2022-09-12 20:01:03,143 - mmseg - INFO - Iter [29800/80000] lr: 9.010e-07, eta: 1 day, 2:57:02, time: 1.839, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8347, decode.loss_mask: 0.7663, decode.loss_dice: 1.2163, decode.d0.loss_cls: 2.8019, decode.d0.loss_mask: 0.7708, decode.d0.loss_dice: 1.4143, decode.d1.loss_cls: 0.9175, decode.d1.loss_mask: 0.7856, decode.d1.loss_dice: 1.3027, decode.d2.loss_cls: 0.8574, decode.d2.loss_mask: 0.7734, decode.d2.loss_dice: 1.2608, decode.d3.loss_cls: 0.8419, decode.d3.loss_mask: 0.7728, decode.d3.loss_dice: 1.2376, decode.d4.loss_cls: 0.8407, decode.d4.loss_mask: 0.7707, decode.d4.loss_dice: 1.2256, decode.d5.loss_cls: 0.8353, decode.d5.loss_mask: 0.7673, decode.d5.loss_dice: 1.2312, decode.d6.loss_cls: 0.8352, decode.d6.loss_mask: 0.7657, decode.d6.loss_dice: 1.2205, decode.d7.loss_cls: 0.8373, decode.d7.loss_mask: 0.7640, decode.d7.loss_dice: 1.2221, decode.d8.loss_cls: 0.8371, decode.d8.loss_mask: 0.7651, decode.d8.loss_dice: 1.2133, loss: 30.6854 2022-09-12 20:02:37,007 - mmseg - INFO - Iter [29850/80000] lr: 9.001e-07, eta: 1 day, 2:55:21, time: 1.879, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8189, decode.loss_mask: 0.7602, decode.loss_dice: 1.2088, decode.d0.loss_cls: 2.7617, decode.d0.loss_mask: 0.7598, decode.d0.loss_dice: 1.4126, decode.d1.loss_cls: 0.8897, decode.d1.loss_mask: 0.7838, decode.d1.loss_dice: 1.3175, decode.d2.loss_cls: 0.8411, decode.d2.loss_mask: 0.7703, decode.d2.loss_dice: 1.2583, decode.d3.loss_cls: 0.8277, decode.d3.loss_mask: 0.7653, decode.d3.loss_dice: 1.2383, decode.d4.loss_cls: 0.8241, decode.d4.loss_mask: 0.7673, decode.d4.loss_dice: 1.2317, decode.d5.loss_cls: 0.8141, decode.d5.loss_mask: 0.7658, decode.d5.loss_dice: 1.2303, decode.d6.loss_cls: 0.8148, decode.d6.loss_mask: 0.7634, decode.d6.loss_dice: 1.2155, decode.d7.loss_cls: 0.8173, decode.d7.loss_mask: 0.7642, decode.d7.loss_dice: 1.2159, decode.d8.loss_cls: 0.8246, decode.d8.loss_mask: 0.7587, decode.d8.loss_dice: 1.2050, loss: 30.4266 2022-09-12 20:04:09,994 - mmseg - INFO - Iter [29900/80000] lr: 8.992e-07, eta: 1 day, 2:53:38, time: 1.860, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8319, decode.loss_mask: 0.7996, decode.loss_dice: 1.2161, decode.d0.loss_cls: 2.7451, decode.d0.loss_mask: 0.8179, decode.d0.loss_dice: 1.4146, decode.d1.loss_cls: 0.9064, decode.d1.loss_mask: 0.8318, decode.d1.loss_dice: 1.3113, decode.d2.loss_cls: 0.8567, decode.d2.loss_mask: 0.8151, decode.d2.loss_dice: 1.2554, decode.d3.loss_cls: 0.8519, decode.d3.loss_mask: 0.8053, decode.d3.loss_dice: 1.2368, decode.d4.loss_cls: 0.8414, decode.d4.loss_mask: 0.8117, decode.d4.loss_dice: 1.2300, decode.d5.loss_cls: 0.8392, decode.d5.loss_mask: 0.8040, decode.d5.loss_dice: 1.2256, decode.d6.loss_cls: 0.8367, decode.d6.loss_mask: 0.8024, decode.d6.loss_dice: 1.2159, decode.d7.loss_cls: 0.8361, decode.d7.loss_mask: 0.8057, decode.d7.loss_dice: 1.2182, decode.d8.loss_cls: 0.8313, decode.d8.loss_mask: 0.8049, decode.d8.loss_dice: 1.2246, loss: 31.0237 2022-09-12 20:05:45,344 - mmseg - INFO - Iter [29950/80000] lr: 8.983e-07, eta: 1 day, 2:51:59, time: 1.907, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8207, decode.loss_mask: 0.8128, decode.loss_dice: 1.2189, decode.d0.loss_cls: 2.7129, decode.d0.loss_mask: 0.8168, decode.d0.loss_dice: 1.4047, decode.d1.loss_cls: 0.8949, decode.d1.loss_mask: 0.8442, decode.d1.loss_dice: 1.3117, decode.d2.loss_cls: 0.8470, decode.d2.loss_mask: 0.8270, decode.d2.loss_dice: 1.2566, decode.d3.loss_cls: 0.8375, decode.d3.loss_mask: 0.8280, decode.d3.loss_dice: 1.2384, decode.d4.loss_cls: 0.8269, decode.d4.loss_mask: 0.8172, decode.d4.loss_dice: 1.2490, decode.d5.loss_cls: 0.8228, decode.d5.loss_mask: 0.8149, decode.d5.loss_dice: 1.2427, decode.d6.loss_cls: 0.8168, decode.d6.loss_mask: 0.8133, decode.d6.loss_dice: 1.2239, decode.d7.loss_cls: 0.8228, decode.d7.loss_mask: 0.8089, decode.d7.loss_dice: 1.2287, decode.d8.loss_cls: 0.8188, decode.d8.loss_mask: 0.8109, decode.d8.loss_dice: 1.2258, loss: 31.0153 2022-09-12 20:07:19,453 - mmseg - INFO - Saving checkpoint at 30000 iterations 2022-09-12 20:07:48,253 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 20:07:48,261 - mmseg - INFO - Iter [30000/80000] lr: 8.974e-07, eta: 1 day, 2:51:06, time: 2.456, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8370, decode.loss_mask: 0.7800, decode.loss_dice: 1.2328, decode.d0.loss_cls: 2.7876, decode.d0.loss_mask: 0.7852, decode.d0.loss_dice: 1.4333, decode.d1.loss_cls: 0.9177, decode.d1.loss_mask: 0.8023, decode.d1.loss_dice: 1.3174, decode.d2.loss_cls: 0.8659, decode.d2.loss_mask: 0.7867, decode.d2.loss_dice: 1.2667, decode.d3.loss_cls: 0.8620, decode.d3.loss_mask: 0.7839, decode.d3.loss_dice: 1.2463, decode.d4.loss_cls: 0.8507, decode.d4.loss_mask: 0.7841, decode.d4.loss_dice: 1.2460, decode.d5.loss_cls: 0.8440, decode.d5.loss_mask: 0.7856, decode.d5.loss_dice: 1.2399, decode.d6.loss_cls: 0.8401, decode.d6.loss_mask: 0.7808, decode.d6.loss_dice: 1.2285, decode.d7.loss_cls: 0.8308, decode.d7.loss_mask: 0.7841, decode.d7.loss_dice: 1.2348, decode.d8.loss_cls: 0.8330, decode.d8.loss_mask: 0.7809, decode.d8.loss_dice: 1.2270, loss: 30.9953 2022-09-12 20:09:21,267 - mmseg - INFO - Iter [30050/80000] lr: 8.965e-07, eta: 1 day, 2:49:24, time: 1.862, data_time: 0.017, memory: 42763, decode.loss_cls: 0.8228, decode.loss_mask: 0.7908, decode.loss_dice: 1.2166, decode.d0.loss_cls: 2.7324, decode.d0.loss_mask: 0.7896, decode.d0.loss_dice: 1.4000, decode.d1.loss_cls: 0.8992, decode.d1.loss_mask: 0.8208, decode.d1.loss_dice: 1.3038, decode.d2.loss_cls: 0.8456, decode.d2.loss_mask: 0.8061, decode.d2.loss_dice: 1.2561, decode.d3.loss_cls: 0.8391, decode.d3.loss_mask: 0.8058, decode.d3.loss_dice: 1.2396, decode.d4.loss_cls: 0.8270, decode.d4.loss_mask: 0.8063, decode.d4.loss_dice: 1.2379, decode.d5.loss_cls: 0.8209, decode.d5.loss_mask: 0.8013, decode.d5.loss_dice: 1.2332, decode.d6.loss_cls: 0.8292, decode.d6.loss_mask: 0.7958, decode.d6.loss_dice: 1.2261, decode.d7.loss_cls: 0.8220, decode.d7.loss_mask: 0.7907, decode.d7.loss_dice: 1.2232, decode.d8.loss_cls: 0.8192, decode.d8.loss_mask: 0.7990, decode.d8.loss_dice: 1.2230, loss: 30.8230 2022-09-12 20:10:54,888 - mmseg - INFO - Iter [30100/80000] lr: 8.956e-07, eta: 1 day, 2:47:42, time: 1.872, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8421, decode.loss_mask: 0.7831, decode.loss_dice: 1.2421, decode.d0.loss_cls: 2.7107, decode.d0.loss_mask: 0.7871, decode.d0.loss_dice: 1.4427, decode.d1.loss_cls: 0.9274, decode.d1.loss_mask: 0.8123, decode.d1.loss_dice: 1.3324, decode.d2.loss_cls: 0.8659, decode.d2.loss_mask: 0.7955, decode.d2.loss_dice: 1.2803, decode.d3.loss_cls: 0.8531, decode.d3.loss_mask: 0.7905, decode.d3.loss_dice: 1.2622, decode.d4.loss_cls: 0.8564, decode.d4.loss_mask: 0.7873, decode.d4.loss_dice: 1.2547, decode.d5.loss_cls: 0.8477, decode.d5.loss_mask: 0.7852, decode.d5.loss_dice: 1.2511, decode.d6.loss_cls: 0.8410, decode.d6.loss_mask: 0.7828, decode.d6.loss_dice: 1.2456, decode.d7.loss_cls: 0.8389, decode.d7.loss_mask: 0.7812, decode.d7.loss_dice: 1.2457, decode.d8.loss_cls: 0.8408, decode.d8.loss_mask: 0.7790, decode.d8.loss_dice: 1.2376, loss: 31.1022 2022-09-12 20:12:27,766 - mmseg - INFO - Iter [30150/80000] lr: 8.947e-07, eta: 1 day, 2:45:59, time: 1.858, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8259, decode.loss_mask: 0.8050, decode.loss_dice: 1.2378, decode.d0.loss_cls: 2.7688, decode.d0.loss_mask: 0.7984, decode.d0.loss_dice: 1.4021, decode.d1.loss_cls: 0.9073, decode.d1.loss_mask: 0.8293, decode.d1.loss_dice: 1.3214, decode.d2.loss_cls: 0.8524, decode.d2.loss_mask: 0.8192, decode.d2.loss_dice: 1.2674, decode.d3.loss_cls: 0.8389, decode.d3.loss_mask: 0.8107, decode.d3.loss_dice: 1.2481, decode.d4.loss_cls: 0.8350, decode.d4.loss_mask: 0.8089, decode.d4.loss_dice: 1.2458, decode.d5.loss_cls: 0.8320, decode.d5.loss_mask: 0.8067, decode.d5.loss_dice: 1.2277, decode.d6.loss_cls: 0.8309, decode.d6.loss_mask: 0.8014, decode.d6.loss_dice: 1.2296, decode.d7.loss_cls: 0.8244, decode.d7.loss_mask: 0.8079, decode.d7.loss_dice: 1.2367, decode.d8.loss_cls: 0.8199, decode.d8.loss_mask: 0.8095, decode.d8.loss_dice: 1.2354, loss: 31.0843 2022-09-12 20:13:59,689 - mmseg - INFO - Iter [30200/80000] lr: 8.938e-07, eta: 1 day, 2:44:15, time: 1.837, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8404, decode.loss_mask: 0.7801, decode.loss_dice: 1.2386, decode.d0.loss_cls: 2.7806, decode.d0.loss_mask: 0.7804, decode.d0.loss_dice: 1.4399, decode.d1.loss_cls: 0.9372, decode.d1.loss_mask: 0.8060, decode.d1.loss_dice: 1.3265, decode.d2.loss_cls: 0.8745, decode.d2.loss_mask: 0.7908, decode.d2.loss_dice: 1.2794, decode.d3.loss_cls: 0.8661, decode.d3.loss_mask: 0.7828, decode.d3.loss_dice: 1.2497, decode.d4.loss_cls: 0.8546, decode.d4.loss_mask: 0.7855, decode.d4.loss_dice: 1.2464, decode.d5.loss_cls: 0.8560, decode.d5.loss_mask: 0.7761, decode.d5.loss_dice: 1.2427, decode.d6.loss_cls: 0.8436, decode.d6.loss_mask: 0.7725, decode.d6.loss_dice: 1.2365, decode.d7.loss_cls: 0.8406, decode.d7.loss_mask: 0.7760, decode.d7.loss_dice: 1.2338, decode.d8.loss_cls: 0.8399, decode.d8.loss_mask: 0.7797, decode.d8.loss_dice: 1.2368, loss: 31.0936 2022-09-12 20:15:33,107 - mmseg - INFO - Iter [30250/80000] lr: 8.929e-07, eta: 1 day, 2:42:33, time: 1.870, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8572, decode.loss_mask: 0.7851, decode.loss_dice: 1.2421, decode.d0.loss_cls: 2.7594, decode.d0.loss_mask: 0.7811, decode.d0.loss_dice: 1.4377, decode.d1.loss_cls: 0.9455, decode.d1.loss_mask: 0.8127, decode.d1.loss_dice: 1.3442, decode.d2.loss_cls: 0.8843, decode.d2.loss_mask: 0.7944, decode.d2.loss_dice: 1.2846, decode.d3.loss_cls: 0.8778, decode.d3.loss_mask: 0.7883, decode.d3.loss_dice: 1.2567, decode.d4.loss_cls: 0.8726, decode.d4.loss_mask: 0.7891, decode.d4.loss_dice: 1.2531, decode.d5.loss_cls: 0.8629, decode.d5.loss_mask: 0.7836, decode.d5.loss_dice: 1.2416, decode.d6.loss_cls: 0.8600, decode.d6.loss_mask: 0.7895, decode.d6.loss_dice: 1.2400, decode.d7.loss_cls: 0.8565, decode.d7.loss_mask: 0.7843, decode.d7.loss_dice: 1.2398, decode.d8.loss_cls: 0.8588, decode.d8.loss_mask: 0.7847, decode.d8.loss_dice: 1.2330, loss: 31.3004 2022-09-12 20:17:04,781 - mmseg - INFO - Iter [30300/80000] lr: 8.920e-07, eta: 1 day, 2:40:48, time: 1.834, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8043, decode.loss_mask: 0.7872, decode.loss_dice: 1.2138, decode.d0.loss_cls: 2.7347, decode.d0.loss_mask: 0.7979, decode.d0.loss_dice: 1.3916, decode.d1.loss_cls: 0.8733, decode.d1.loss_mask: 0.8248, decode.d1.loss_dice: 1.2929, decode.d2.loss_cls: 0.8238, decode.d2.loss_mask: 0.8057, decode.d2.loss_dice: 1.2487, decode.d3.loss_cls: 0.8211, decode.d3.loss_mask: 0.7973, decode.d3.loss_dice: 1.2266, decode.d4.loss_cls: 0.8116, decode.d4.loss_mask: 0.7941, decode.d4.loss_dice: 1.2195, decode.d5.loss_cls: 0.8075, decode.d5.loss_mask: 0.7955, decode.d5.loss_dice: 1.2117, decode.d6.loss_cls: 0.7997, decode.d6.loss_mask: 0.7908, decode.d6.loss_dice: 1.2051, decode.d7.loss_cls: 0.8037, decode.d7.loss_mask: 0.7880, decode.d7.loss_dice: 1.2103, decode.d8.loss_cls: 0.7994, decode.d8.loss_mask: 0.7850, decode.d8.loss_dice: 1.2109, loss: 30.4763 2022-09-12 20:18:38,355 - mmseg - INFO - Iter [30350/80000] lr: 8.911e-07, eta: 1 day, 2:39:06, time: 1.871, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8387, decode.loss_mask: 0.8016, decode.loss_dice: 1.2102, decode.d0.loss_cls: 2.7688, decode.d0.loss_mask: 0.8018, decode.d0.loss_dice: 1.3949, decode.d1.loss_cls: 0.9157, decode.d1.loss_mask: 0.8350, decode.d1.loss_dice: 1.3088, decode.d2.loss_cls: 0.8662, decode.d2.loss_mask: 0.8197, decode.d2.loss_dice: 1.2570, decode.d3.loss_cls: 0.8610, decode.d3.loss_mask: 0.8124, decode.d3.loss_dice: 1.2405, decode.d4.loss_cls: 0.8579, decode.d4.loss_mask: 0.8056, decode.d4.loss_dice: 1.2287, decode.d5.loss_cls: 0.8426, decode.d5.loss_mask: 0.8058, decode.d5.loss_dice: 1.2208, decode.d6.loss_cls: 0.8470, decode.d6.loss_mask: 0.7974, decode.d6.loss_dice: 1.2161, decode.d7.loss_cls: 0.8384, decode.d7.loss_mask: 0.7999, decode.d7.loss_dice: 1.2154, decode.d8.loss_cls: 0.8373, decode.d8.loss_mask: 0.8042, decode.d8.loss_dice: 1.2195, loss: 31.0690 2022-09-12 20:20:10,673 - mmseg - INFO - Iter [30400/80000] lr: 8.902e-07, eta: 1 day, 2:37:23, time: 1.846, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8209, decode.loss_mask: 0.7726, decode.loss_dice: 1.2114, decode.d0.loss_cls: 2.7532, decode.d0.loss_mask: 0.7754, decode.d0.loss_dice: 1.4102, decode.d1.loss_cls: 0.8987, decode.d1.loss_mask: 0.8018, decode.d1.loss_dice: 1.2967, decode.d2.loss_cls: 0.8427, decode.d2.loss_mask: 0.7901, decode.d2.loss_dice: 1.2491, decode.d3.loss_cls: 0.8434, decode.d3.loss_mask: 0.7826, decode.d3.loss_dice: 1.2282, decode.d4.loss_cls: 0.8402, decode.d4.loss_mask: 0.7852, decode.d4.loss_dice: 1.2271, decode.d5.loss_cls: 0.8336, decode.d5.loss_mask: 0.7794, decode.d5.loss_dice: 1.2147, decode.d6.loss_cls: 0.8344, decode.d6.loss_mask: 0.7694, decode.d6.loss_dice: 1.2044, decode.d7.loss_cls: 0.8199, decode.d7.loss_mask: 0.7795, decode.d7.loss_dice: 1.2050, decode.d8.loss_cls: 0.8189, decode.d8.loss_mask: 0.7744, decode.d8.loss_dice: 1.2139, loss: 30.5772 2022-09-12 20:21:42,279 - mmseg - INFO - Iter [30450/80000] lr: 8.893e-07, eta: 1 day, 2:35:38, time: 1.832, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8144, decode.loss_mask: 0.7860, decode.loss_dice: 1.2284, decode.d0.loss_cls: 2.6952, decode.d0.loss_mask: 0.7903, decode.d0.loss_dice: 1.4205, decode.d1.loss_cls: 0.9026, decode.d1.loss_mask: 0.8202, decode.d1.loss_dice: 1.3222, decode.d2.loss_cls: 0.8489, decode.d2.loss_mask: 0.7994, decode.d2.loss_dice: 1.2701, decode.d3.loss_cls: 0.8398, decode.d3.loss_mask: 0.7908, decode.d3.loss_dice: 1.2501, decode.d4.loss_cls: 0.8300, decode.d4.loss_mask: 0.7936, decode.d4.loss_dice: 1.2490, decode.d5.loss_cls: 0.8180, decode.d5.loss_mask: 0.7837, decode.d5.loss_dice: 1.2322, decode.d6.loss_cls: 0.8133, decode.d6.loss_mask: 0.7818, decode.d6.loss_dice: 1.2272, decode.d7.loss_cls: 0.8120, decode.d7.loss_mask: 0.7821, decode.d7.loss_dice: 1.2283, decode.d8.loss_cls: 0.8049, decode.d8.loss_mask: 0.7840, decode.d8.loss_dice: 1.2329, loss: 30.7517 2022-09-12 20:23:15,285 - mmseg - INFO - Iter [30500/80000] lr: 8.884e-07, eta: 1 day, 2:33:56, time: 1.860, data_time: 0.012, memory: 42763, decode.loss_cls: 0.8478, decode.loss_mask: 0.7706, decode.loss_dice: 1.2283, decode.d0.loss_cls: 2.7640, decode.d0.loss_mask: 0.7754, decode.d0.loss_dice: 1.4207, decode.d1.loss_cls: 0.9227, decode.d1.loss_mask: 0.8025, decode.d1.loss_dice: 1.3149, decode.d2.loss_cls: 0.8692, decode.d2.loss_mask: 0.7864, decode.d2.loss_dice: 1.2745, decode.d3.loss_cls: 0.8595, decode.d3.loss_mask: 0.7815, decode.d3.loss_dice: 1.2566, decode.d4.loss_cls: 0.8524, decode.d4.loss_mask: 0.7796, decode.d4.loss_dice: 1.2464, decode.d5.loss_cls: 0.8473, decode.d5.loss_mask: 0.7767, decode.d5.loss_dice: 1.2345, decode.d6.loss_cls: 0.8479, decode.d6.loss_mask: 0.7714, decode.d6.loss_dice: 1.2351, decode.d7.loss_cls: 0.8430, decode.d7.loss_mask: 0.7739, decode.d7.loss_dice: 1.2373, decode.d8.loss_cls: 0.8409, decode.d8.loss_mask: 0.7754, decode.d8.loss_dice: 1.2317, loss: 30.9678 2022-09-12 20:24:48,335 - mmseg - INFO - Iter [30550/80000] lr: 8.875e-07, eta: 1 day, 2:32:13, time: 1.861, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8056, decode.loss_mask: 0.7900, decode.loss_dice: 1.2134, decode.d0.loss_cls: 2.7004, decode.d0.loss_mask: 0.7908, decode.d0.loss_dice: 1.3954, decode.d1.loss_cls: 0.8810, decode.d1.loss_mask: 0.8187, decode.d1.loss_dice: 1.3052, decode.d2.loss_cls: 0.8291, decode.d2.loss_mask: 0.8014, decode.d2.loss_dice: 1.2567, decode.d3.loss_cls: 0.8198, decode.d3.loss_mask: 0.7953, decode.d3.loss_dice: 1.2273, decode.d4.loss_cls: 0.8184, decode.d4.loss_mask: 0.7936, decode.d4.loss_dice: 1.2214, decode.d5.loss_cls: 0.8079, decode.d5.loss_mask: 0.7948, decode.d5.loss_dice: 1.2219, decode.d6.loss_cls: 0.8092, decode.d6.loss_mask: 0.7911, decode.d6.loss_dice: 1.2083, decode.d7.loss_cls: 0.8073, decode.d7.loss_mask: 0.7876, decode.d7.loss_dice: 1.2052, decode.d8.loss_cls: 0.8039, decode.d8.loss_mask: 0.7858, decode.d8.loss_dice: 1.2095, loss: 30.4963 2022-09-12 20:26:20,898 - mmseg - INFO - Iter [30600/80000] lr: 8.866e-07, eta: 1 day, 2:30:30, time: 1.851, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8376, decode.loss_mask: 0.7758, decode.loss_dice: 1.2347, decode.d0.loss_cls: 2.7729, decode.d0.loss_mask: 0.7814, decode.d0.loss_dice: 1.4408, decode.d1.loss_cls: 0.9152, decode.d1.loss_mask: 0.8032, decode.d1.loss_dice: 1.3295, decode.d2.loss_cls: 0.8689, decode.d2.loss_mask: 0.7866, decode.d2.loss_dice: 1.2709, decode.d3.loss_cls: 0.8563, decode.d3.loss_mask: 0.7780, decode.d3.loss_dice: 1.2495, decode.d4.loss_cls: 0.8460, decode.d4.loss_mask: 0.7784, decode.d4.loss_dice: 1.2455, decode.d5.loss_cls: 0.8455, decode.d5.loss_mask: 0.7730, decode.d5.loss_dice: 1.2370, decode.d6.loss_cls: 0.8439, decode.d6.loss_mask: 0.7761, decode.d6.loss_dice: 1.2278, decode.d7.loss_cls: 0.8358, decode.d7.loss_mask: 0.7740, decode.d7.loss_dice: 1.2307, decode.d8.loss_cls: 0.8390, decode.d8.loss_mask: 0.7749, decode.d8.loss_dice: 1.2312, loss: 30.9601 2022-09-12 20:27:52,486 - mmseg - INFO - Iter [30650/80000] lr: 8.857e-07, eta: 1 day, 2:28:45, time: 1.832, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8267, decode.loss_mask: 0.7847, decode.loss_dice: 1.2121, decode.d0.loss_cls: 2.7589, decode.d0.loss_mask: 0.7833, decode.d0.loss_dice: 1.4058, decode.d1.loss_cls: 0.9133, decode.d1.loss_mask: 0.8191, decode.d1.loss_dice: 1.3069, decode.d2.loss_cls: 0.8617, decode.d2.loss_mask: 0.7965, decode.d2.loss_dice: 1.2534, decode.d3.loss_cls: 0.8452, decode.d3.loss_mask: 0.7944, decode.d3.loss_dice: 1.2330, decode.d4.loss_cls: 0.8369, decode.d4.loss_mask: 0.7921, decode.d4.loss_dice: 1.2318, decode.d5.loss_cls: 0.8355, decode.d5.loss_mask: 0.7847, decode.d5.loss_dice: 1.2193, decode.d6.loss_cls: 0.8352, decode.d6.loss_mask: 0.7807, decode.d6.loss_dice: 1.2136, decode.d7.loss_cls: 0.8330, decode.d7.loss_mask: 0.7801, decode.d7.loss_dice: 1.2113, decode.d8.loss_cls: 0.8350, decode.d8.loss_mask: 0.7788, decode.d8.loss_dice: 1.2173, loss: 30.7804 2022-09-12 20:29:25,815 - mmseg - INFO - Iter [30700/80000] lr: 8.848e-07, eta: 1 day, 2:27:04, time: 1.866, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7941, decode.loss_mask: 0.7896, decode.loss_dice: 1.2452, decode.d0.loss_cls: 2.7213, decode.d0.loss_mask: 0.7959, decode.d0.loss_dice: 1.4357, decode.d1.loss_cls: 0.8847, decode.d1.loss_mask: 0.8202, decode.d1.loss_dice: 1.3410, decode.d2.loss_cls: 0.8273, decode.d2.loss_mask: 0.8049, decode.d2.loss_dice: 1.2846, decode.d3.loss_cls: 0.8218, decode.d3.loss_mask: 0.7990, decode.d3.loss_dice: 1.2539, decode.d4.loss_cls: 0.8127, decode.d4.loss_mask: 0.7918, decode.d4.loss_dice: 1.2592, decode.d5.loss_cls: 0.8091, decode.d5.loss_mask: 0.7882, decode.d5.loss_dice: 1.2476, decode.d6.loss_cls: 0.8058, decode.d6.loss_mask: 0.7871, decode.d6.loss_dice: 1.2384, decode.d7.loss_cls: 0.7999, decode.d7.loss_mask: 0.7902, decode.d7.loss_dice: 1.2397, decode.d8.loss_cls: 0.7932, decode.d8.loss_mask: 0.7930, decode.d8.loss_dice: 1.2472, loss: 30.8227 2022-09-12 20:30:58,782 - mmseg - INFO - Iter [30750/80000] lr: 8.839e-07, eta: 1 day, 2:25:21, time: 1.859, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8617, decode.loss_mask: 0.7978, decode.loss_dice: 1.2303, decode.d0.loss_cls: 2.7807, decode.d0.loss_mask: 0.7907, decode.d0.loss_dice: 1.4451, decode.d1.loss_cls: 0.9409, decode.d1.loss_mask: 0.8291, decode.d1.loss_dice: 1.3281, decode.d2.loss_cls: 0.8943, decode.d2.loss_mask: 0.8072, decode.d2.loss_dice: 1.2720, decode.d3.loss_cls: 0.8845, decode.d3.loss_mask: 0.7919, decode.d3.loss_dice: 1.2544, decode.d4.loss_cls: 0.8781, decode.d4.loss_mask: 0.7962, decode.d4.loss_dice: 1.2516, decode.d5.loss_cls: 0.8668, decode.d5.loss_mask: 0.7945, decode.d5.loss_dice: 1.2369, decode.d6.loss_cls: 0.8653, decode.d6.loss_mask: 0.7913, decode.d6.loss_dice: 1.2274, decode.d7.loss_cls: 0.8620, decode.d7.loss_mask: 0.7934, decode.d7.loss_dice: 1.2271, decode.d8.loss_cls: 0.8585, decode.d8.loss_mask: 0.7972, decode.d8.loss_dice: 1.2306, loss: 31.3855 2022-09-12 20:32:32,000 - mmseg - INFO - Iter [30800/80000] lr: 8.830e-07, eta: 1 day, 2:23:39, time: 1.864, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8089, decode.loss_mask: 0.7684, decode.loss_dice: 1.2473, decode.d0.loss_cls: 2.7206, decode.d0.loss_mask: 0.7703, decode.d0.loss_dice: 1.4375, decode.d1.loss_cls: 0.8970, decode.d1.loss_mask: 0.7961, decode.d1.loss_dice: 1.3370, decode.d2.loss_cls: 0.8331, decode.d2.loss_mask: 0.7793, decode.d2.loss_dice: 1.2863, decode.d3.loss_cls: 0.8249, decode.d3.loss_mask: 0.7695, decode.d3.loss_dice: 1.2595, decode.d4.loss_cls: 0.8215, decode.d4.loss_mask: 0.7701, decode.d4.loss_dice: 1.2528, decode.d5.loss_cls: 0.8218, decode.d5.loss_mask: 0.7669, decode.d5.loss_dice: 1.2442, decode.d6.loss_cls: 0.8148, decode.d6.loss_mask: 0.7629, decode.d6.loss_dice: 1.2453, decode.d7.loss_cls: 0.8107, decode.d7.loss_mask: 0.7641, decode.d7.loss_dice: 1.2480, decode.d8.loss_cls: 0.8105, decode.d8.loss_mask: 0.7675, decode.d8.loss_dice: 1.2476, loss: 30.6845 2022-09-12 20:34:05,826 - mmseg - INFO - Iter [30850/80000] lr: 8.821e-07, eta: 1 day, 2:21:58, time: 1.876, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8642, decode.loss_mask: 0.7644, decode.loss_dice: 1.2390, decode.d0.loss_cls: 2.8491, decode.d0.loss_mask: 0.7756, decode.d0.loss_dice: 1.4457, decode.d1.loss_cls: 0.9368, decode.d1.loss_mask: 0.7951, decode.d1.loss_dice: 1.3374, decode.d2.loss_cls: 0.8816, decode.d2.loss_mask: 0.7853, decode.d2.loss_dice: 1.2829, decode.d3.loss_cls: 0.8736, decode.d3.loss_mask: 0.7762, decode.d3.loss_dice: 1.2619, decode.d4.loss_cls: 0.8633, decode.d4.loss_mask: 0.7744, decode.d4.loss_dice: 1.2624, decode.d5.loss_cls: 0.8588, decode.d5.loss_mask: 0.7668, decode.d5.loss_dice: 1.2499, decode.d6.loss_cls: 0.8549, decode.d6.loss_mask: 0.7636, decode.d6.loss_dice: 1.2402, decode.d7.loss_cls: 0.8580, decode.d7.loss_mask: 0.7627, decode.d7.loss_dice: 1.2386, decode.d8.loss_cls: 0.8532, decode.d8.loss_mask: 0.7633, decode.d8.loss_dice: 1.2439, loss: 31.2229 2022-09-12 20:35:37,169 - mmseg - INFO - Iter [30900/80000] lr: 8.812e-07, eta: 1 day, 2:20:14, time: 1.827, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8304, decode.loss_mask: 0.7708, decode.loss_dice: 1.2253, decode.d0.loss_cls: 2.7211, decode.d0.loss_mask: 0.7817, decode.d0.loss_dice: 1.4204, decode.d1.loss_cls: 0.9041, decode.d1.loss_mask: 0.8135, decode.d1.loss_dice: 1.3179, decode.d2.loss_cls: 0.8569, decode.d2.loss_mask: 0.7911, decode.d2.loss_dice: 1.2686, decode.d3.loss_cls: 0.8459, decode.d3.loss_mask: 0.7774, decode.d3.loss_dice: 1.2391, decode.d4.loss_cls: 0.8376, decode.d4.loss_mask: 0.7736, decode.d4.loss_dice: 1.2364, decode.d5.loss_cls: 0.8232, decode.d5.loss_mask: 0.7797, decode.d5.loss_dice: 1.2324, decode.d6.loss_cls: 0.8324, decode.d6.loss_mask: 0.7702, decode.d6.loss_dice: 1.2122, decode.d7.loss_cls: 0.8295, decode.d7.loss_mask: 0.7732, decode.d7.loss_dice: 1.2180, decode.d8.loss_cls: 0.8304, decode.d8.loss_mask: 0.7673, decode.d8.loss_dice: 1.2179, loss: 30.6982 2022-09-12 20:37:09,421 - mmseg - INFO - Iter [30950/80000] lr: 8.803e-07, eta: 1 day, 2:18:30, time: 1.845, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8495, decode.loss_mask: 0.7554, decode.loss_dice: 1.2138, decode.d0.loss_cls: 2.7556, decode.d0.loss_mask: 0.7596, decode.d0.loss_dice: 1.4161, decode.d1.loss_cls: 0.9289, decode.d1.loss_mask: 0.7945, decode.d1.loss_dice: 1.3021, decode.d2.loss_cls: 0.8698, decode.d2.loss_mask: 0.7677, decode.d2.loss_dice: 1.2549, decode.d3.loss_cls: 0.8571, decode.d3.loss_mask: 0.7636, decode.d3.loss_dice: 1.2329, decode.d4.loss_cls: 0.8461, decode.d4.loss_mask: 0.7617, decode.d4.loss_dice: 1.2357, decode.d5.loss_cls: 0.8564, decode.d5.loss_mask: 0.7568, decode.d5.loss_dice: 1.2346, decode.d6.loss_cls: 0.8568, decode.d6.loss_mask: 0.7527, decode.d6.loss_dice: 1.2142, decode.d7.loss_cls: 0.8516, decode.d7.loss_mask: 0.7561, decode.d7.loss_dice: 1.2105, decode.d8.loss_cls: 0.8443, decode.d8.loss_mask: 0.7546, decode.d8.loss_dice: 1.2111, loss: 30.6647 2022-09-12 20:38:40,452 - mmseg - INFO - Saving checkpoint at 31000 iterations 2022-09-12 20:39:11,742 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 20:39:11,750 - mmseg - INFO - Iter [31000/80000] lr: 8.794e-07, eta: 1 day, 2:17:34, time: 2.444, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8197, decode.loss_mask: 0.7853, decode.loss_dice: 1.2439, decode.d0.loss_cls: 2.7309, decode.d0.loss_mask: 0.7836, decode.d0.loss_dice: 1.4377, decode.d1.loss_cls: 0.8944, decode.d1.loss_mask: 0.8056, decode.d1.loss_dice: 1.3388, decode.d2.loss_cls: 0.8441, decode.d2.loss_mask: 0.7923, decode.d2.loss_dice: 1.2837, decode.d3.loss_cls: 0.8285, decode.d3.loss_mask: 0.7881, decode.d3.loss_dice: 1.2572, decode.d4.loss_cls: 0.8341, decode.d4.loss_mask: 0.7884, decode.d4.loss_dice: 1.2545, decode.d5.loss_cls: 0.8222, decode.d5.loss_mask: 0.7838, decode.d5.loss_dice: 1.2471, decode.d6.loss_cls: 0.8223, decode.d6.loss_mask: 0.7825, decode.d6.loss_dice: 1.2382, decode.d7.loss_cls: 0.8175, decode.d7.loss_mask: 0.7878, decode.d7.loss_dice: 1.2384, decode.d8.loss_cls: 0.8170, decode.d8.loss_mask: 0.7855, decode.d8.loss_dice: 1.2432, loss: 30.8962 2022-09-12 20:40:43,584 - mmseg - INFO - Iter [31050/80000] lr: 8.785e-07, eta: 1 day, 2:15:50, time: 1.839, data_time: 0.018, memory: 42763, decode.loss_cls: 0.8094, decode.loss_mask: 0.7925, decode.loss_dice: 1.2648, decode.d0.loss_cls: 2.6974, decode.d0.loss_mask: 0.7848, decode.d0.loss_dice: 1.4375, decode.d1.loss_cls: 0.8762, decode.d1.loss_mask: 0.8104, decode.d1.loss_dice: 1.3473, decode.d2.loss_cls: 0.8301, decode.d2.loss_mask: 0.7965, decode.d2.loss_dice: 1.3015, decode.d3.loss_cls: 0.8282, decode.d3.loss_mask: 0.7926, decode.d3.loss_dice: 1.2722, decode.d4.loss_cls: 0.8250, decode.d4.loss_mask: 0.7960, decode.d4.loss_dice: 1.2747, decode.d5.loss_cls: 0.8168, decode.d5.loss_mask: 0.7943, decode.d5.loss_dice: 1.2654, decode.d6.loss_cls: 0.8121, decode.d6.loss_mask: 0.7915, decode.d6.loss_dice: 1.2641, decode.d7.loss_cls: 0.8110, decode.d7.loss_mask: 0.7898, decode.d7.loss_dice: 1.2639, decode.d8.loss_cls: 0.8064, decode.d8.loss_mask: 0.7890, decode.d8.loss_dice: 1.2614, loss: 31.0026 2022-09-12 20:42:16,578 - mmseg - INFO - Iter [31100/80000] lr: 8.776e-07, eta: 1 day, 2:14:08, time: 1.860, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8586, decode.loss_mask: 0.8095, decode.loss_dice: 1.2197, decode.d0.loss_cls: 2.7737, decode.d0.loss_mask: 0.8100, decode.d0.loss_dice: 1.4240, decode.d1.loss_cls: 0.9399, decode.d1.loss_mask: 0.8311, decode.d1.loss_dice: 1.3066, decode.d2.loss_cls: 0.8898, decode.d2.loss_mask: 0.8126, decode.d2.loss_dice: 1.2518, decode.d3.loss_cls: 0.8676, decode.d3.loss_mask: 0.8095, decode.d3.loss_dice: 1.2393, decode.d4.loss_cls: 0.8590, decode.d4.loss_mask: 0.8068, decode.d4.loss_dice: 1.2309, decode.d5.loss_cls: 0.8581, decode.d5.loss_mask: 0.8099, decode.d5.loss_dice: 1.2207, decode.d6.loss_cls: 0.8518, decode.d6.loss_mask: 0.8084, decode.d6.loss_dice: 1.2156, decode.d7.loss_cls: 0.8535, decode.d7.loss_mask: 0.8067, decode.d7.loss_dice: 1.2172, decode.d8.loss_cls: 0.8506, decode.d8.loss_mask: 0.8082, decode.d8.loss_dice: 1.2209, loss: 31.2621 2022-09-12 20:43:49,254 - mmseg - INFO - Iter [31150/80000] lr: 8.768e-07, eta: 1 day, 2:12:25, time: 1.853, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8168, decode.loss_mask: 0.7727, decode.loss_dice: 1.1920, decode.d0.loss_cls: 2.7175, decode.d0.loss_mask: 0.7657, decode.d0.loss_dice: 1.3894, decode.d1.loss_cls: 0.8940, decode.d1.loss_mask: 0.8013, decode.d1.loss_dice: 1.2755, decode.d2.loss_cls: 0.8545, decode.d2.loss_mask: 0.7768, decode.d2.loss_dice: 1.2239, decode.d3.loss_cls: 0.8396, decode.d3.loss_mask: 0.7725, decode.d3.loss_dice: 1.2129, decode.d4.loss_cls: 0.8379, decode.d4.loss_mask: 0.7734, decode.d4.loss_dice: 1.2016, decode.d5.loss_cls: 0.8358, decode.d5.loss_mask: 0.7694, decode.d5.loss_dice: 1.1995, decode.d6.loss_cls: 0.8265, decode.d6.loss_mask: 0.7701, decode.d6.loss_dice: 1.1886, decode.d7.loss_cls: 0.8168, decode.d7.loss_mask: 0.7674, decode.d7.loss_dice: 1.1925, decode.d8.loss_cls: 0.8204, decode.d8.loss_mask: 0.7716, decode.d8.loss_dice: 1.1867, loss: 30.2633 2022-09-12 20:45:21,587 - mmseg - INFO - Iter [31200/80000] lr: 8.759e-07, eta: 1 day, 2:10:42, time: 1.847, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8297, decode.loss_mask: 0.7746, decode.loss_dice: 1.2288, decode.d0.loss_cls: 2.8059, decode.d0.loss_mask: 0.7759, decode.d0.loss_dice: 1.4120, decode.d1.loss_cls: 0.9211, decode.d1.loss_mask: 0.7948, decode.d1.loss_dice: 1.3173, decode.d2.loss_cls: 0.8628, decode.d2.loss_mask: 0.7865, decode.d2.loss_dice: 1.2598, decode.d3.loss_cls: 0.8454, decode.d3.loss_mask: 0.7808, decode.d3.loss_dice: 1.2479, decode.d4.loss_cls: 0.8403, decode.d4.loss_mask: 0.7796, decode.d4.loss_dice: 1.2438, decode.d5.loss_cls: 0.8373, decode.d5.loss_mask: 0.7739, decode.d5.loss_dice: 1.2351, decode.d6.loss_cls: 0.8297, decode.d6.loss_mask: 0.7697, decode.d6.loss_dice: 1.2201, decode.d7.loss_cls: 0.8299, decode.d7.loss_mask: 0.7706, decode.d7.loss_dice: 1.2327, decode.d8.loss_cls: 0.8281, decode.d8.loss_mask: 0.7717, decode.d8.loss_dice: 1.2303, loss: 30.8361 2022-09-12 20:46:54,854 - mmseg - INFO - Iter [31250/80000] lr: 8.750e-07, eta: 1 day, 2:09:01, time: 1.865, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7844, decode.loss_mask: 0.7993, decode.loss_dice: 1.2041, decode.d0.loss_cls: 2.6762, decode.d0.loss_mask: 0.7977, decode.d0.loss_dice: 1.3914, decode.d1.loss_cls: 0.8607, decode.d1.loss_mask: 0.8224, decode.d1.loss_dice: 1.3055, decode.d2.loss_cls: 0.8210, decode.d2.loss_mask: 0.7991, decode.d2.loss_dice: 1.2398, decode.d3.loss_cls: 0.8112, decode.d3.loss_mask: 0.7927, decode.d3.loss_dice: 1.2228, decode.d4.loss_cls: 0.8110, decode.d4.loss_mask: 0.7901, decode.d4.loss_dice: 1.2113, decode.d5.loss_cls: 0.8033, decode.d5.loss_mask: 0.7903, decode.d5.loss_dice: 1.2031, decode.d6.loss_cls: 0.7931, decode.d6.loss_mask: 0.7905, decode.d6.loss_dice: 1.1983, decode.d7.loss_cls: 0.7881, decode.d7.loss_mask: 0.7916, decode.d7.loss_dice: 1.2027, decode.d8.loss_cls: 0.7888, decode.d8.loss_mask: 0.7921, decode.d8.loss_dice: 1.1966, loss: 30.2794 2022-09-12 20:48:27,184 - mmseg - INFO - Iter [31300/80000] lr: 8.741e-07, eta: 1 day, 2:07:17, time: 1.847, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8219, decode.loss_mask: 0.7547, decode.loss_dice: 1.2166, decode.d0.loss_cls: 2.7417, decode.d0.loss_mask: 0.7514, decode.d0.loss_dice: 1.4050, decode.d1.loss_cls: 0.8943, decode.d1.loss_mask: 0.7798, decode.d1.loss_dice: 1.3060, decode.d2.loss_cls: 0.8422, decode.d2.loss_mask: 0.7678, decode.d2.loss_dice: 1.2533, decode.d3.loss_cls: 0.8278, decode.d3.loss_mask: 0.7674, decode.d3.loss_dice: 1.2416, decode.d4.loss_cls: 0.8282, decode.d4.loss_mask: 0.7639, decode.d4.loss_dice: 1.2302, decode.d5.loss_cls: 0.8258, decode.d5.loss_mask: 0.7595, decode.d5.loss_dice: 1.2242, decode.d6.loss_cls: 0.8236, decode.d6.loss_mask: 0.7605, decode.d6.loss_dice: 1.2069, decode.d7.loss_cls: 0.8204, decode.d7.loss_mask: 0.7566, decode.d7.loss_dice: 1.2126, decode.d8.loss_cls: 0.8233, decode.d8.loss_mask: 0.7563, decode.d8.loss_dice: 1.2161, loss: 30.3795 2022-09-12 20:50:00,244 - mmseg - INFO - Iter [31350/80000] lr: 8.732e-07, eta: 1 day, 2:05:35, time: 1.861, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8650, decode.loss_mask: 0.7756, decode.loss_dice: 1.2463, decode.d0.loss_cls: 2.7833, decode.d0.loss_mask: 0.7775, decode.d0.loss_dice: 1.4410, decode.d1.loss_cls: 0.9488, decode.d1.loss_mask: 0.8069, decode.d1.loss_dice: 1.3403, decode.d2.loss_cls: 0.8947, decode.d2.loss_mask: 0.7875, decode.d2.loss_dice: 1.2823, decode.d3.loss_cls: 0.8804, decode.d3.loss_mask: 0.7847, decode.d3.loss_dice: 1.2627, decode.d4.loss_cls: 0.8773, decode.d4.loss_mask: 0.7855, decode.d4.loss_dice: 1.2548, decode.d5.loss_cls: 0.8779, decode.d5.loss_mask: 0.7794, decode.d5.loss_dice: 1.2504, decode.d6.loss_cls: 0.8719, decode.d6.loss_mask: 0.7755, decode.d6.loss_dice: 1.2413, decode.d7.loss_cls: 0.8709, decode.d7.loss_mask: 0.7751, decode.d7.loss_dice: 1.2418, decode.d8.loss_cls: 0.8681, decode.d8.loss_mask: 0.7763, decode.d8.loss_dice: 1.2414, loss: 31.3646 2022-09-12 20:51:32,449 - mmseg - INFO - Iter [31400/80000] lr: 8.723e-07, eta: 1 day, 2:03:52, time: 1.844, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8069, decode.loss_mask: 0.7861, decode.loss_dice: 1.1840, decode.d0.loss_cls: 2.6885, decode.d0.loss_mask: 0.7910, decode.d0.loss_dice: 1.3620, decode.d1.loss_cls: 0.8905, decode.d1.loss_mask: 0.8117, decode.d1.loss_dice: 1.2723, decode.d2.loss_cls: 0.8317, decode.d2.loss_mask: 0.7980, decode.d2.loss_dice: 1.2249, decode.d3.loss_cls: 0.8168, decode.d3.loss_mask: 0.7914, decode.d3.loss_dice: 1.2014, decode.d4.loss_cls: 0.8123, decode.d4.loss_mask: 0.7862, decode.d4.loss_dice: 1.1926, decode.d5.loss_cls: 0.8079, decode.d5.loss_mask: 0.7806, decode.d5.loss_dice: 1.1929, decode.d6.loss_cls: 0.8075, decode.d6.loss_mask: 0.7812, decode.d6.loss_dice: 1.1806, decode.d7.loss_cls: 0.8056, decode.d7.loss_mask: 0.7821, decode.d7.loss_dice: 1.1867, decode.d8.loss_cls: 0.8047, decode.d8.loss_mask: 0.7850, decode.d8.loss_dice: 1.1828, loss: 30.1457 2022-09-12 20:53:04,505 - mmseg - INFO - Iter [31450/80000] lr: 8.714e-07, eta: 1 day, 2:02:09, time: 1.841, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8111, decode.loss_mask: 0.7824, decode.loss_dice: 1.2096, decode.d0.loss_cls: 2.6522, decode.d0.loss_mask: 0.7879, decode.d0.loss_dice: 1.3904, decode.d1.loss_cls: 0.8913, decode.d1.loss_mask: 0.8160, decode.d1.loss_dice: 1.3003, decode.d2.loss_cls: 0.8419, decode.d2.loss_mask: 0.7998, decode.d2.loss_dice: 1.2477, decode.d3.loss_cls: 0.8268, decode.d3.loss_mask: 0.7923, decode.d3.loss_dice: 1.2281, decode.d4.loss_cls: 0.8242, decode.d4.loss_mask: 0.7925, decode.d4.loss_dice: 1.2218, decode.d5.loss_cls: 0.8151, decode.d5.loss_mask: 0.7810, decode.d5.loss_dice: 1.2215, decode.d6.loss_cls: 0.8169, decode.d6.loss_mask: 0.7812, decode.d6.loss_dice: 1.2053, decode.d7.loss_cls: 0.8125, decode.d7.loss_mask: 0.7800, decode.d7.loss_dice: 1.2080, decode.d8.loss_cls: 0.8124, decode.d8.loss_mask: 0.7783, decode.d8.loss_dice: 1.2095, loss: 30.4381 2022-09-12 20:54:36,775 - mmseg - INFO - Iter [31500/80000] lr: 8.705e-07, eta: 1 day, 2:00:26, time: 1.843, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7967, decode.loss_mask: 0.8081, decode.loss_dice: 1.2272, decode.d0.loss_cls: 2.7045, decode.d0.loss_mask: 0.8077, decode.d0.loss_dice: 1.4043, decode.d1.loss_cls: 0.8802, decode.d1.loss_mask: 0.8298, decode.d1.loss_dice: 1.3180, decode.d2.loss_cls: 0.8149, decode.d2.loss_mask: 0.8177, decode.d2.loss_dice: 1.2636, decode.d3.loss_cls: 0.8153, decode.d3.loss_mask: 0.8157, decode.d3.loss_dice: 1.2395, decode.d4.loss_cls: 0.8085, decode.d4.loss_mask: 0.8104, decode.d4.loss_dice: 1.2323, decode.d5.loss_cls: 0.7979, decode.d5.loss_mask: 0.8125, decode.d5.loss_dice: 1.2321, decode.d6.loss_cls: 0.8017, decode.d6.loss_mask: 0.8069, decode.d6.loss_dice: 1.2212, decode.d7.loss_cls: 0.8048, decode.d7.loss_mask: 0.8056, decode.d7.loss_dice: 1.2241, decode.d8.loss_cls: 0.8012, decode.d8.loss_mask: 0.8055, decode.d8.loss_dice: 1.2210, loss: 30.7287 2022-09-12 20:56:09,420 - mmseg - INFO - Iter [31550/80000] lr: 8.696e-07, eta: 1 day, 1:58:43, time: 1.855, data_time: 0.017, memory: 42763, decode.loss_cls: 0.8343, decode.loss_mask: 0.7870, decode.loss_dice: 1.2533, decode.d0.loss_cls: 2.7416, decode.d0.loss_mask: 0.7874, decode.d0.loss_dice: 1.4317, decode.d1.loss_cls: 0.9150, decode.d1.loss_mask: 0.8069, decode.d1.loss_dice: 1.3367, decode.d2.loss_cls: 0.8588, decode.d2.loss_mask: 0.7985, decode.d2.loss_dice: 1.2871, decode.d3.loss_cls: 0.8356, decode.d3.loss_mask: 0.7928, decode.d3.loss_dice: 1.2678, decode.d4.loss_cls: 0.8385, decode.d4.loss_mask: 0.7929, decode.d4.loss_dice: 1.2705, decode.d5.loss_cls: 0.8308, decode.d5.loss_mask: 0.7927, decode.d5.loss_dice: 1.2667, decode.d6.loss_cls: 0.8307, decode.d6.loss_mask: 0.7874, decode.d6.loss_dice: 1.2492, decode.d7.loss_cls: 0.8343, decode.d7.loss_mask: 0.7882, decode.d7.loss_dice: 1.2458, decode.d8.loss_cls: 0.8316, decode.d8.loss_mask: 0.7877, decode.d8.loss_dice: 1.2456, loss: 31.1272 2022-09-12 20:57:41,406 - mmseg - INFO - Iter [31600/80000] lr: 8.687e-07, eta: 1 day, 1:57:00, time: 1.840, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8189, decode.loss_mask: 0.7724, decode.loss_dice: 1.2044, decode.d0.loss_cls: 2.7345, decode.d0.loss_mask: 0.7623, decode.d0.loss_dice: 1.3858, decode.d1.loss_cls: 0.8873, decode.d1.loss_mask: 0.8030, decode.d1.loss_dice: 1.2910, decode.d2.loss_cls: 0.8328, decode.d2.loss_mask: 0.7972, decode.d2.loss_dice: 1.2571, decode.d3.loss_cls: 0.8292, decode.d3.loss_mask: 0.7897, decode.d3.loss_dice: 1.2304, decode.d4.loss_cls: 0.8286, decode.d4.loss_mask: 0.7788, decode.d4.loss_dice: 1.2241, decode.d5.loss_cls: 0.8186, decode.d5.loss_mask: 0.7833, decode.d5.loss_dice: 1.2192, decode.d6.loss_cls: 0.8162, decode.d6.loss_mask: 0.7751, decode.d6.loss_dice: 1.2060, decode.d7.loss_cls: 0.8172, decode.d7.loss_mask: 0.7716, decode.d7.loss_dice: 1.2014, decode.d8.loss_cls: 0.8108, decode.d8.loss_mask: 0.7754, decode.d8.loss_dice: 1.2022, loss: 30.4247 2022-09-12 20:59:13,797 - mmseg - INFO - Iter [31650/80000] lr: 8.678e-07, eta: 1 day, 1:55:17, time: 1.846, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8439, decode.loss_mask: 0.7880, decode.loss_dice: 1.2208, decode.d0.loss_cls: 2.7551, decode.d0.loss_mask: 0.8038, decode.d0.loss_dice: 1.4243, decode.d1.loss_cls: 0.9138, decode.d1.loss_mask: 0.8156, decode.d1.loss_dice: 1.3171, decode.d2.loss_cls: 0.8783, decode.d2.loss_mask: 0.7977, decode.d2.loss_dice: 1.2636, decode.d3.loss_cls: 0.8539, decode.d3.loss_mask: 0.7881, decode.d3.loss_dice: 1.2417, decode.d4.loss_cls: 0.8502, decode.d4.loss_mask: 0.7908, decode.d4.loss_dice: 1.2371, decode.d5.loss_cls: 0.8533, decode.d5.loss_mask: 0.7909, decode.d5.loss_dice: 1.2238, decode.d6.loss_cls: 0.8502, decode.d6.loss_mask: 0.7831, decode.d6.loss_dice: 1.2188, decode.d7.loss_cls: 0.8444, decode.d7.loss_mask: 0.7875, decode.d7.loss_dice: 1.2175, decode.d8.loss_cls: 0.8438, decode.d8.loss_mask: 0.7879, decode.d8.loss_dice: 1.2168, loss: 31.0015 2022-09-12 21:00:45,580 - mmseg - INFO - Iter [31700/80000] lr: 8.669e-07, eta: 1 day, 1:53:33, time: 1.838, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8446, decode.loss_mask: 0.7942, decode.loss_dice: 1.2285, decode.d0.loss_cls: 2.6861, decode.d0.loss_mask: 0.8051, decode.d0.loss_dice: 1.4237, decode.d1.loss_cls: 0.9221, decode.d1.loss_mask: 0.8252, decode.d1.loss_dice: 1.3176, decode.d2.loss_cls: 0.8618, decode.d2.loss_mask: 0.8090, decode.d2.loss_dice: 1.2668, decode.d3.loss_cls: 0.8515, decode.d3.loss_mask: 0.8055, decode.d3.loss_dice: 1.2472, decode.d4.loss_cls: 0.8469, decode.d4.loss_mask: 0.8042, decode.d4.loss_dice: 1.2451, decode.d5.loss_cls: 0.8432, decode.d5.loss_mask: 0.7972, decode.d5.loss_dice: 1.2386, decode.d6.loss_cls: 0.8420, decode.d6.loss_mask: 0.7952, decode.d6.loss_dice: 1.2265, decode.d7.loss_cls: 0.8403, decode.d7.loss_mask: 0.7983, decode.d7.loss_dice: 1.2280, decode.d8.loss_cls: 0.8401, decode.d8.loss_mask: 0.7988, decode.d8.loss_dice: 1.2305, loss: 31.0638 2022-09-12 21:02:17,798 - mmseg - INFO - Iter [31750/80000] lr: 8.660e-07, eta: 1 day, 1:51:50, time: 1.844, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8035, decode.loss_mask: 0.7774, decode.loss_dice: 1.2324, decode.d0.loss_cls: 2.7056, decode.d0.loss_mask: 0.7744, decode.d0.loss_dice: 1.4171, decode.d1.loss_cls: 0.8893, decode.d1.loss_mask: 0.8012, decode.d1.loss_dice: 1.3192, decode.d2.loss_cls: 0.8347, decode.d2.loss_mask: 0.7864, decode.d2.loss_dice: 1.2667, decode.d3.loss_cls: 0.8177, decode.d3.loss_mask: 0.7789, decode.d3.loss_dice: 1.2429, decode.d4.loss_cls: 0.8208, decode.d4.loss_mask: 0.7782, decode.d4.loss_dice: 1.2359, decode.d5.loss_cls: 0.8129, decode.d5.loss_mask: 0.7747, decode.d5.loss_dice: 1.2380, decode.d6.loss_cls: 0.8113, decode.d6.loss_mask: 0.7743, decode.d6.loss_dice: 1.2239, decode.d7.loss_cls: 0.8079, decode.d7.loss_mask: 0.7779, decode.d7.loss_dice: 1.2280, decode.d8.loss_cls: 0.8060, decode.d8.loss_mask: 0.7765, decode.d8.loss_dice: 1.2274, loss: 30.5411 2022-09-12 21:03:50,506 - mmseg - INFO - Iter [31800/80000] lr: 8.651e-07, eta: 1 day, 1:50:08, time: 1.855, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8780, decode.loss_mask: 0.7759, decode.loss_dice: 1.2320, decode.d0.loss_cls: 2.7971, decode.d0.loss_mask: 0.7832, decode.d0.loss_dice: 1.4355, decode.d1.loss_cls: 0.9615, decode.d1.loss_mask: 0.8035, decode.d1.loss_dice: 1.3193, decode.d2.loss_cls: 0.9066, decode.d2.loss_mask: 0.7860, decode.d2.loss_dice: 1.2721, decode.d3.loss_cls: 0.8987, decode.d3.loss_mask: 0.7835, decode.d3.loss_dice: 1.2462, decode.d4.loss_cls: 0.8881, decode.d4.loss_mask: 0.7752, decode.d4.loss_dice: 1.2447, decode.d5.loss_cls: 0.8893, decode.d5.loss_mask: 0.7785, decode.d5.loss_dice: 1.2388, decode.d6.loss_cls: 0.8803, decode.d6.loss_mask: 0.7776, decode.d6.loss_dice: 1.2328, decode.d7.loss_cls: 0.8837, decode.d7.loss_mask: 0.7737, decode.d7.loss_dice: 1.2310, decode.d8.loss_cls: 0.8776, decode.d8.loss_mask: 0.7763, decode.d8.loss_dice: 1.2286, loss: 31.3553 2022-09-12 21:05:22,772 - mmseg - INFO - Iter [31850/80000] lr: 8.642e-07, eta: 1 day, 1:48:25, time: 1.844, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7990, decode.loss_mask: 0.7728, decode.loss_dice: 1.2085, decode.d0.loss_cls: 2.6962, decode.d0.loss_mask: 0.7723, decode.d0.loss_dice: 1.3988, decode.d1.loss_cls: 0.8864, decode.d1.loss_mask: 0.7919, decode.d1.loss_dice: 1.3121, decode.d2.loss_cls: 0.8318, decode.d2.loss_mask: 0.7786, decode.d2.loss_dice: 1.2547, decode.d3.loss_cls: 0.8194, decode.d3.loss_mask: 0.7732, decode.d3.loss_dice: 1.2274, decode.d4.loss_cls: 0.8150, decode.d4.loss_mask: 0.7728, decode.d4.loss_dice: 1.2251, decode.d5.loss_cls: 0.8079, decode.d5.loss_mask: 0.7720, decode.d5.loss_dice: 1.2214, decode.d6.loss_cls: 0.8044, decode.d6.loss_mask: 0.7695, decode.d6.loss_dice: 1.2121, decode.d7.loss_cls: 0.7987, decode.d7.loss_mask: 0.7699, decode.d7.loss_dice: 1.2056, decode.d8.loss_cls: 0.8006, decode.d8.loss_mask: 0.7770, decode.d8.loss_dice: 1.2110, loss: 30.2860 2022-09-12 21:06:54,786 - mmseg - INFO - Iter [31900/80000] lr: 8.633e-07, eta: 1 day, 1:46:42, time: 1.842, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8158, decode.loss_mask: 0.8037, decode.loss_dice: 1.2289, decode.d0.loss_cls: 2.7308, decode.d0.loss_mask: 0.8050, decode.d0.loss_dice: 1.4302, decode.d1.loss_cls: 0.9043, decode.d1.loss_mask: 0.8251, decode.d1.loss_dice: 1.3236, decode.d2.loss_cls: 0.8508, decode.d2.loss_mask: 0.8066, decode.d2.loss_dice: 1.2723, decode.d3.loss_cls: 0.8422, decode.d3.loss_mask: 0.8044, decode.d3.loss_dice: 1.2466, decode.d4.loss_cls: 0.8417, decode.d4.loss_mask: 0.8006, decode.d4.loss_dice: 1.2453, decode.d5.loss_cls: 0.8269, decode.d5.loss_mask: 0.7970, decode.d5.loss_dice: 1.2352, decode.d6.loss_cls: 0.8266, decode.d6.loss_mask: 0.7933, decode.d6.loss_dice: 1.2256, decode.d7.loss_cls: 0.8239, decode.d7.loss_mask: 0.7945, decode.d7.loss_dice: 1.2330, decode.d8.loss_cls: 0.8212, decode.d8.loss_mask: 0.7941, decode.d8.loss_dice: 1.2318, loss: 30.9812 2022-09-12 21:08:27,457 - mmseg - INFO - Iter [31950/80000] lr: 8.624e-07, eta: 1 day, 1:45:00, time: 1.852, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8680, decode.loss_mask: 0.7662, decode.loss_dice: 1.2258, decode.d0.loss_cls: 2.7971, decode.d0.loss_mask: 0.7864, decode.d0.loss_dice: 1.4560, decode.d1.loss_cls: 0.9571, decode.d1.loss_mask: 0.8025, decode.d1.loss_dice: 1.3327, decode.d2.loss_cls: 0.8959, decode.d2.loss_mask: 0.7922, decode.d2.loss_dice: 1.2827, decode.d3.loss_cls: 0.8823, decode.d3.loss_mask: 0.7807, decode.d3.loss_dice: 1.2594, decode.d4.loss_cls: 0.8797, decode.d4.loss_mask: 0.7766, decode.d4.loss_dice: 1.2465, decode.d5.loss_cls: 0.8777, decode.d5.loss_mask: 0.7766, decode.d5.loss_dice: 1.2377, decode.d6.loss_cls: 0.8757, decode.d6.loss_mask: 0.7749, decode.d6.loss_dice: 1.2274, decode.d7.loss_cls: 0.8706, decode.d7.loss_mask: 0.7687, decode.d7.loss_dice: 1.2299, decode.d8.loss_cls: 0.8683, decode.d8.loss_mask: 0.7653, decode.d8.loss_dice: 1.2263, loss: 31.2872 2022-09-12 21:10:00,274 - mmseg - INFO - Saving checkpoint at 32000 iterations 2022-09-12 21:10:30,015 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 21:10:30,024 - mmseg - INFO - Iter [32000/80000] lr: 8.615e-07, eta: 1 day, 1:44:02, time: 2.450, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8423, decode.loss_mask: 0.7967, decode.loss_dice: 1.2587, decode.d0.loss_cls: 2.7252, decode.d0.loss_mask: 0.7937, decode.d0.loss_dice: 1.4561, decode.d1.loss_cls: 0.9157, decode.d1.loss_mask: 0.8268, decode.d1.loss_dice: 1.3525, decode.d2.loss_cls: 0.8713, decode.d2.loss_mask: 0.8040, decode.d2.loss_dice: 1.3067, decode.d3.loss_cls: 0.8551, decode.d3.loss_mask: 0.7992, decode.d3.loss_dice: 1.2799, decode.d4.loss_cls: 0.8559, decode.d4.loss_mask: 0.7964, decode.d4.loss_dice: 1.2699, decode.d5.loss_cls: 0.8520, decode.d5.loss_mask: 0.8000, decode.d5.loss_dice: 1.2650, decode.d6.loss_cls: 0.8420, decode.d6.loss_mask: 0.7973, decode.d6.loss_dice: 1.2505, decode.d7.loss_cls: 0.8443, decode.d7.loss_mask: 0.7961, decode.d7.loss_dice: 1.2594, decode.d8.loss_cls: 0.8394, decode.d8.loss_mask: 0.7975, decode.d8.loss_dice: 1.2552, loss: 31.4049 2022-09-12 21:15:23,774 - mmseg - INFO - per class results: 2022-09-12 21:15:23,789 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 87.76 | 93.59 | | bicycle | 76.31 | 86.13 | | car | 65.87 | 80.01 | | motorcycle | 85.6 | 90.67 | | airplane | 86.84 | 93.07 | | bus | 83.77 | 86.97 | | train | 83.11 | 95.04 | | truck | 65.78 | 82.78 | | boat | 73.33 | 83.7 | | traffic light | 73.55 | 88.11 | | fire hydrant | 91.7 | 96.21 | | stop sign | 91.26 | 98.3 | | parking meter | 76.76 | 87.65 | | bench | 58.21 | 74.33 | | bird | 85.13 | 92.09 | | cat | 84.83 | 91.03 | | dog | 81.34 | 89.58 | | horse | 85.48 | 93.88 | | sheep | 88.32 | 95.87 | | cow | 88.43 | 93.5 | | elephant | 93.19 | 96.32 | | bear | 92.64 | 95.71 | | zebra | 90.74 | 93.73 | | giraffe | 88.56 | 94.2 | | backpack | 42.58 | 73.27 | | umbrella | 87.36 | 93.01 | | handbag | 38.37 | 70.81 | | tie | 19.92 | 31.39 | | suitcase | 82.88 | 93.3 | | frisbee | 80.95 | 94.57 | | skis | 59.8 | 72.59 | | snowboard | 70.82 | 83.61 | | sports ball | 59.68 | 76.66 | | kite | 78.71 | 88.24 | | baseball bat | 52.9 | 83.89 | | baseball glove | 76.28 | 92.53 | | skateboard | 85.22 | 90.49 | | surfboard | 87.09 | 92.71 | | tennis racket | 87.48 | 92.29 | | bottle | 50.41 | 65.4 | | wine glass | 63.05 | 85.87 | | cup | 59.3 | 85.21 | | fork | 53.41 | 67.29 | | knife | 44.41 | 72.09 | | spoon | 43.64 | 71.69 | | bowl | 49.19 | 71.22 | | banana | 68.01 | 88.96 | | apple | 58.45 | 73.99 | | sandwich | 49.47 | 64.34 | | orange | 68.82 | 74.42 | | broccoli | 51.46 | 60.22 | | carrot | 50.95 | 53.75 | | hot dog | 53.69 | 63.52 | | pizza | 73.25 | 83.84 | | donut | 70.5 | 81.59 | | cake | 69.89 | 84.8 | | chair | 54.51 | 75.07 | | couch | 59.52 | 74.25 | | potted plant | 37.12 | 59.68 | | bed | 66.68 | 79.53 | | dining table | 43.47 | 73.86 | | toilet | 87.16 | 94.7 | | tv | 79.42 | 88.83 | | laptop | 82.11 | 93.23 | | mouse | 81.01 | 89.97 | | remote | 65.21 | 81.3 | | keyboard | 67.73 | 79.33 | | cell phone | 74.82 | 90.75 | | microwave | 67.33 | 75.79 | | oven | 60.44 | 84.81 | | toaster | 52.05 | 55.23 | | sink | 67.65 | 81.86 | | refrigerator | 80.44 | 93.03 | | book | 61.78 | 79.64 | | clock | 76.08 | 82.33 | | vase | 63.5 | 87.16 | | scissors | 79.91 | 91.46 | | teddy bear | 82.02 | 91.65 | | hair drier | 47.73 | 57.73 | | toothbrush | 50.15 | 84.39 | | banner | 29.42 | 63.3 | | blanket | 6.33 | 8.32 | | branch | 23.69 | 40.71 | | bridge | 47.38 | 67.14 | | building-other | 52.52 | 68.09 | | bush | 30.44 | 36.41 | | cabinet | 56.44 | 71.59 | | cage | 22.72 | 34.62 | | cardboard | 49.05 | 63.68 | | carpet | 54.0 | 75.43 | | ceiling-other | 67.91 | 83.27 | | ceiling-tile | 0.0 | 0.0 | | cloth | 0.0 | 0.0 | | clothes | 23.19 | 36.66 | | clouds | 40.01 | 49.5 | | counter | 28.4 | 50.2 | | cupboard | 0.0 | 0.0 | | curtain | 68.83 | 82.5 | | desk-stuff | 45.45 | 56.52 | | dirt | 42.13 | 64.15 | | door-stuff | 47.38 | 77.78 | | fence | 30.76 | 53.75 | | floor-marble | 2.31 | 2.34 | | floor-other | 24.45 | 31.94 | | floor-stone | 5.68 | 6.92 | | floor-tile | 65.77 | 76.99 | | floor-wood | 66.93 | 77.88 | | flower | 40.64 | 52.27 | | fog | 7.52 | 9.13 | | food-other | 35.83 | 52.6 | | fruit | 39.28 | 71.32 | | furniture-other | 19.7 | 27.33 | | grass | 69.79 | 80.19 | | gravel | 35.73 | 52.74 | | ground-other | 2.03 | 2.37 | | hill | 18.92 | 26.72 | | house | 25.02 | 32.39 | | leaves | 32.53 | 58.43 | | light | 41.22 | 57.7 | | mat | 0.0 | 0.0 | | metal | 37.39 | 51.67 | | mirror-stuff | 60.27 | 81.8 | | moss | 0.0 | 0.0 | | mountain | 55.53 | 70.53 | | mud | 0.0 | 0.0 | | napkin | 15.43 | 24.75 | | net | 45.73 | 65.79 | | paper | 33.22 | 43.88 | | pavement | 53.79 | 75.38 | | pillow | 23.02 | 47.86 | | plant-other | 18.99 | 38.98 | | plastic | 28.17 | 39.19 | | platform | 30.77 | 44.21 | | playingfield | 70.54 | 91.15 | | railing | 10.36 | 23.18 | | railroad | 62.94 | 78.03 | | river | 44.96 | 53.8 | | road | 67.6 | 80.82 | | rock | 39.83 | 57.68 | | roof | 30.02 | 41.74 | | rug | 34.81 | 52.69 | | salad | 0.0 | 0.0 | | sand | 66.9 | 72.87 | | sea | 86.28 | 92.66 | | shelf | 40.42 | 60.32 | | sky-other | 68.76 | 87.52 | | skyscraper | 39.24 | 62.25 | | snow | 90.98 | 95.35 | | solid-other | 0.0 | 0.0 | | stairs | 29.52 | 65.91 | | stone | 15.92 | 29.2 | | straw | 34.95 | 54.31 | | structural-other | 0.25 | 0.25 | | table | 16.94 | 20.94 | | tent | 8.83 | 11.56 | | textile-other | 16.96 | 40.42 | | towel | 40.44 | 48.53 | | tree | 74.44 | 86.76 | | vegetable | 42.2 | 55.28 | | wall-brick | 52.28 | 67.93 | | wall-concrete | 62.37 | 76.95 | | wall-other | 21.6 | 34.73 | | wall-panel | 1.05 | 1.16 | | wall-stone | 31.63 | 40.73 | | wall-tile | 72.0 | 87.6 | | wall-wood | 43.46 | 62.49 | | water-other | 36.39 | 60.89 | | waterdrops | 0.0 | 0.0 | | window-blind | 54.73 | 65.55 | | window-other | 47.58 | 73.76 | | wood | 28.68 | 41.59 | +------------------+-------+-------+ 2022-09-12 21:15:23,791 - mmseg - INFO - Summary: 2022-09-12 21:15:23,791 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 72.61 | 51.12 | 64.09 | +-------+-------+-------+ 2022-09-12 21:15:24,556 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/segmentation/work_dirs/mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss/best_mIoU_iter_24000.pth was removed 2022-09-12 21:15:51,692 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_32000.pth. 2022-09-12 21:15:51,708 - mmseg - INFO - Best mIoU is 0.5112 at 32000 iter. 2022-09-12 21:15:51,751 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 21:15:51,752 - mmseg - INFO - Iter(val) [313] aAcc: 0.7261, mIoU: 0.5112, mAcc: 0.6409, IoU.person: 0.8776, IoU.bicycle: 0.7631, IoU.car: 0.6587, IoU.motorcycle: 0.8560, IoU.airplane: 0.8684, IoU.bus: 0.8377, IoU.train: 0.8311, IoU.truck: 0.6578, IoU.boat: 0.7333, IoU.traffic light: 0.7355, IoU.fire hydrant: 0.9170, IoU.stop sign: 0.9126, IoU.parking meter: 0.7676, IoU.bench: 0.5821, IoU.bird: 0.8513, IoU.cat: 0.8483, IoU.dog: 0.8134, IoU.horse: 0.8548, IoU.sheep: 0.8832, IoU.cow: 0.8843, IoU.elephant: 0.9319, IoU.bear: 0.9264, IoU.zebra: 0.9074, IoU.giraffe: 0.8856, IoU.backpack: 0.4258, IoU.umbrella: 0.8736, IoU.handbag: 0.3837, IoU.tie: 0.1992, IoU.suitcase: 0.8288, IoU.frisbee: 0.8095, IoU.skis: 0.5980, IoU.snowboard: 0.7082, IoU.sports ball: 0.5968, IoU.kite: 0.7871, IoU.baseball bat: 0.5290, IoU.baseball glove: 0.7628, IoU.skateboard: 0.8522, IoU.surfboard: 0.8709, IoU.tennis racket: 0.8748, IoU.bottle: 0.5041, IoU.wine glass: 0.6305, IoU.cup: 0.5930, IoU.fork: 0.5341, IoU.knife: 0.4441, IoU.spoon: 0.4364, IoU.bowl: 0.4919, IoU.banana: 0.6801, IoU.apple: 0.5845, IoU.sandwich: 0.4947, IoU.orange: 0.6882, IoU.broccoli: 0.5146, IoU.carrot: 0.5095, IoU.hot dog: 0.5369, IoU.pizza: 0.7325, IoU.donut: 0.7050, IoU.cake: 0.6989, IoU.chair: 0.5451, IoU.couch: 0.5952, IoU.potted plant: 0.3712, IoU.bed: 0.6668, IoU.dining table: 0.4347, IoU.toilet: 0.8716, IoU.tv: 0.7942, IoU.laptop: 0.8211, IoU.mouse: 0.8101, IoU.remote: 0.6521, IoU.keyboard: 0.6773, IoU.cell phone: 0.7482, IoU.microwave: 0.6733, IoU.oven: 0.6044, IoU.toaster: 0.5205, IoU.sink: 0.6765, IoU.refrigerator: 0.8044, IoU.book: 0.6178, IoU.clock: 0.7608, IoU.vase: 0.6350, IoU.scissors: 0.7991, IoU.teddy bear: 0.8202, IoU.hair drier: 0.4773, IoU.toothbrush: 0.5015, IoU.banner: 0.2942, IoU.blanket: 0.0633, IoU.branch: 0.2369, IoU.bridge: 0.4738, IoU.building-other: 0.5252, IoU.bush: 0.3044, IoU.cabinet: 0.5644, IoU.cage: 0.2272, IoU.cardboard: 0.4905, IoU.carpet: 0.5400, IoU.ceiling-other: 0.6791, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0000, IoU.clothes: 0.2319, IoU.clouds: 0.4001, IoU.counter: 0.2840, IoU.cupboard: 0.0000, IoU.curtain: 0.6883, IoU.desk-stuff: 0.4545, IoU.dirt: 0.4213, IoU.door-stuff: 0.4738, IoU.fence: 0.3076, IoU.floor-marble: 0.0231, IoU.floor-other: 0.2445, IoU.floor-stone: 0.0568, IoU.floor-tile: 0.6577, IoU.floor-wood: 0.6693, IoU.flower: 0.4064, IoU.fog: 0.0752, IoU.food-other: 0.3583, IoU.fruit: 0.3928, IoU.furniture-other: 0.1970, IoU.grass: 0.6979, IoU.gravel: 0.3573, IoU.ground-other: 0.0203, IoU.hill: 0.1892, IoU.house: 0.2502, IoU.leaves: 0.3253, IoU.light: 0.4122, IoU.mat: 0.0000, IoU.metal: 0.3739, IoU.mirror-stuff: 0.6027, IoU.moss: 0.0000, IoU.mountain: 0.5553, IoU.mud: 0.0000, IoU.napkin: 0.1543, IoU.net: 0.4573, IoU.paper: 0.3322, IoU.pavement: 0.5379, IoU.pillow: 0.2302, IoU.plant-other: 0.1899, IoU.plastic: 0.2817, IoU.platform: 0.3077, IoU.playingfield: 0.7054, IoU.railing: 0.1036, IoU.railroad: 0.6294, IoU.river: 0.4496, IoU.road: 0.6760, IoU.rock: 0.3983, IoU.roof: 0.3002, IoU.rug: 0.3481, IoU.salad: 0.0000, IoU.sand: 0.6690, IoU.sea: 0.8628, IoU.shelf: 0.4042, IoU.sky-other: 0.6876, IoU.skyscraper: 0.3924, IoU.snow: 0.9098, IoU.solid-other: 0.0000, IoU.stairs: 0.2952, IoU.stone: 0.1592, IoU.straw: 0.3495, IoU.structural-other: 0.0025, IoU.table: 0.1694, IoU.tent: 0.0883, IoU.textile-other: 0.1696, IoU.towel: 0.4044, IoU.tree: 0.7444, IoU.vegetable: 0.4220, IoU.wall-brick: 0.5228, IoU.wall-concrete: 0.6237, IoU.wall-other: 0.2160, IoU.wall-panel: 0.0105, IoU.wall-stone: 0.3163, IoU.wall-tile: 0.7200, IoU.wall-wood: 0.4346, IoU.water-other: 0.3639, IoU.waterdrops: 0.0000, IoU.window-blind: 0.5473, IoU.window-other: 0.4758, IoU.wood: 0.2868, Acc.person: 0.9359, Acc.bicycle: 0.8613, Acc.car: 0.8001, Acc.motorcycle: 0.9067, Acc.airplane: 0.9307, Acc.bus: 0.8697, Acc.train: 0.9504, Acc.truck: 0.8278, Acc.boat: 0.8370, Acc.traffic light: 0.8811, Acc.fire hydrant: 0.9621, Acc.stop sign: 0.9830, Acc.parking meter: 0.8765, Acc.bench: 0.7433, Acc.bird: 0.9209, Acc.cat: 0.9103, Acc.dog: 0.8958, Acc.horse: 0.9388, Acc.sheep: 0.9587, Acc.cow: 0.9350, Acc.elephant: 0.9632, Acc.bear: 0.9571, Acc.zebra: 0.9373, Acc.giraffe: 0.9420, Acc.backpack: 0.7327, Acc.umbrella: 0.9301, Acc.handbag: 0.7081, Acc.tie: 0.3139, Acc.suitcase: 0.9330, Acc.frisbee: 0.9457, Acc.skis: 0.7259, Acc.snowboard: 0.8361, Acc.sports ball: 0.7666, Acc.kite: 0.8824, Acc.baseball bat: 0.8389, Acc.baseball glove: 0.9253, Acc.skateboard: 0.9049, Acc.surfboard: 0.9271, Acc.tennis racket: 0.9229, Acc.bottle: 0.6540, Acc.wine glass: 0.8587, Acc.cup: 0.8521, Acc.fork: 0.6729, Acc.knife: 0.7209, Acc.spoon: 0.7169, Acc.bowl: 0.7122, Acc.banana: 0.8896, Acc.apple: 0.7399, Acc.sandwich: 0.6434, Acc.orange: 0.7442, Acc.broccoli: 0.6022, Acc.carrot: 0.5375, Acc.hot dog: 0.6352, Acc.pizza: 0.8384, Acc.donut: 0.8159, Acc.cake: 0.8480, Acc.chair: 0.7507, Acc.couch: 0.7425, Acc.potted plant: 0.5968, Acc.bed: 0.7953, Acc.dining table: 0.7386, Acc.toilet: 0.9470, Acc.tv: 0.8883, Acc.laptop: 0.9323, Acc.mouse: 0.8997, Acc.remote: 0.8130, Acc.keyboard: 0.7933, Acc.cell phone: 0.9075, Acc.microwave: 0.7579, Acc.oven: 0.8481, Acc.toaster: 0.5523, Acc.sink: 0.8186, Acc.refrigerator: 0.9303, Acc.book: 0.7964, Acc.clock: 0.8233, Acc.vase: 0.8716, Acc.scissors: 0.9146, Acc.teddy bear: 0.9165, Acc.hair drier: 0.5773, Acc.toothbrush: 0.8439, Acc.banner: 0.6330, Acc.blanket: 0.0832, Acc.branch: 0.4071, Acc.bridge: 0.6714, Acc.building-other: 0.6809, Acc.bush: 0.3641, Acc.cabinet: 0.7159, Acc.cage: 0.3462, Acc.cardboard: 0.6368, Acc.carpet: 0.7543, Acc.ceiling-other: 0.8327, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0000, Acc.clothes: 0.3666, Acc.clouds: 0.4950, Acc.counter: 0.5020, Acc.cupboard: 0.0000, Acc.curtain: 0.8250, Acc.desk-stuff: 0.5652, Acc.dirt: 0.6415, Acc.door-stuff: 0.7778, Acc.fence: 0.5375, Acc.floor-marble: 0.0234, Acc.floor-other: 0.3194, Acc.floor-stone: 0.0692, Acc.floor-tile: 0.7699, Acc.floor-wood: 0.7788, Acc.flower: 0.5227, Acc.fog: 0.0913, Acc.food-other: 0.5260, Acc.fruit: 0.7132, Acc.furniture-other: 0.2733, Acc.grass: 0.8019, Acc.gravel: 0.5274, Acc.ground-other: 0.0237, Acc.hill: 0.2672, Acc.house: 0.3239, Acc.leaves: 0.5843, Acc.light: 0.5770, Acc.mat: 0.0000, Acc.metal: 0.5167, Acc.mirror-stuff: 0.8180, Acc.moss: 0.0000, Acc.mountain: 0.7053, Acc.mud: 0.0000, Acc.napkin: 0.2475, Acc.net: 0.6579, Acc.paper: 0.4388, Acc.pavement: 0.7538, Acc.pillow: 0.4786, Acc.plant-other: 0.3898, Acc.plastic: 0.3919, Acc.platform: 0.4421, Acc.playingfield: 0.9115, Acc.railing: 0.2318, Acc.railroad: 0.7803, Acc.river: 0.5380, Acc.road: 0.8082, Acc.rock: 0.5768, Acc.roof: 0.4174, Acc.rug: 0.5269, Acc.salad: 0.0000, Acc.sand: 0.7287, Acc.sea: 0.9266, Acc.shelf: 0.6032, Acc.sky-other: 0.8752, Acc.skyscraper: 0.6225, Acc.snow: 0.9535, Acc.solid-other: 0.0000, Acc.stairs: 0.6591, Acc.stone: 0.2920, Acc.straw: 0.5431, Acc.structural-other: 0.0025, Acc.table: 0.2094, Acc.tent: 0.1156, Acc.textile-other: 0.4042, Acc.towel: 0.4853, Acc.tree: 0.8676, Acc.vegetable: 0.5528, Acc.wall-brick: 0.6793, Acc.wall-concrete: 0.7695, Acc.wall-other: 0.3473, Acc.wall-panel: 0.0116, Acc.wall-stone: 0.4073, Acc.wall-tile: 0.8760, Acc.wall-wood: 0.6249, Acc.water-other: 0.6089, Acc.waterdrops: 0.0000, Acc.window-blind: 0.6555, Acc.window-other: 0.7376, Acc.wood: 0.4159 2022-09-12 21:17:24,108 - mmseg - INFO - Iter [32050/80000] lr: 8.606e-07, eta: 1 day, 1:50:21, time: 8.284, data_time: 6.452, memory: 42763, decode.loss_cls: 0.8062, decode.loss_mask: 0.7830, decode.loss_dice: 1.2026, decode.d0.loss_cls: 2.6930, decode.d0.loss_mask: 0.7846, decode.d0.loss_dice: 1.4025, decode.d1.loss_cls: 0.8756, decode.d1.loss_mask: 0.8139, decode.d1.loss_dice: 1.2938, decode.d2.loss_cls: 0.8308, decode.d2.loss_mask: 0.7936, decode.d2.loss_dice: 1.2411, decode.d3.loss_cls: 0.8253, decode.d3.loss_mask: 0.7849, decode.d3.loss_dice: 1.2219, decode.d4.loss_cls: 0.8163, decode.d4.loss_mask: 0.7839, decode.d4.loss_dice: 1.2181, decode.d5.loss_cls: 0.8118, decode.d5.loss_mask: 0.7867, decode.d5.loss_dice: 1.2144, decode.d6.loss_cls: 0.8113, decode.d6.loss_mask: 0.7785, decode.d6.loss_dice: 1.2025, decode.d7.loss_cls: 0.8110, decode.d7.loss_mask: 0.7825, decode.d7.loss_dice: 1.2016, decode.d8.loss_cls: 0.8036, decode.d8.loss_mask: 0.7840, decode.d8.loss_dice: 1.2044, loss: 30.3635 2022-09-12 21:18:56,797 - mmseg - INFO - Iter [32100/80000] lr: 8.597e-07, eta: 1 day, 1:48:38, time: 1.854, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8529, decode.loss_mask: 0.7704, decode.loss_dice: 1.2060, decode.d0.loss_cls: 2.7566, decode.d0.loss_mask: 0.7767, decode.d0.loss_dice: 1.4002, decode.d1.loss_cls: 0.9337, decode.d1.loss_mask: 0.7994, decode.d1.loss_dice: 1.3015, decode.d2.loss_cls: 0.8800, decode.d2.loss_mask: 0.7833, decode.d2.loss_dice: 1.2492, decode.d3.loss_cls: 0.8658, decode.d3.loss_mask: 0.7814, decode.d3.loss_dice: 1.2233, decode.d4.loss_cls: 0.8616, decode.d4.loss_mask: 0.7753, decode.d4.loss_dice: 1.2222, decode.d5.loss_cls: 0.8518, decode.d5.loss_mask: 0.7772, decode.d5.loss_dice: 1.2196, decode.d6.loss_cls: 0.8506, decode.d6.loss_mask: 0.7759, decode.d6.loss_dice: 1.2125, decode.d7.loss_cls: 0.8502, decode.d7.loss_mask: 0.7733, decode.d7.loss_dice: 1.2133, decode.d8.loss_cls: 0.8486, decode.d8.loss_mask: 0.7736, decode.d8.loss_dice: 1.2065, loss: 30.7924 2022-09-12 21:20:30,506 - mmseg - INFO - Iter [32150/80000] lr: 8.588e-07, eta: 1 day, 1:46:56, time: 1.874, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8674, decode.loss_mask: 0.7338, decode.loss_dice: 1.1814, decode.d0.loss_cls: 2.7971, decode.d0.loss_mask: 0.7438, decode.d0.loss_dice: 1.3918, decode.d1.loss_cls: 0.9515, decode.d1.loss_mask: 0.7589, decode.d1.loss_dice: 1.2827, decode.d2.loss_cls: 0.8968, decode.d2.loss_mask: 0.7394, decode.d2.loss_dice: 1.2244, decode.d3.loss_cls: 0.8794, decode.d3.loss_mask: 0.7355, decode.d3.loss_dice: 1.2021, decode.d4.loss_cls: 0.8821, decode.d4.loss_mask: 0.7339, decode.d4.loss_dice: 1.1983, decode.d5.loss_cls: 0.8692, decode.d5.loss_mask: 0.7331, decode.d5.loss_dice: 1.1892, decode.d6.loss_cls: 0.8679, decode.d6.loss_mask: 0.7305, decode.d6.loss_dice: 1.1796, decode.d7.loss_cls: 0.8693, decode.d7.loss_mask: 0.7321, decode.d7.loss_dice: 1.1814, decode.d8.loss_cls: 0.8657, decode.d8.loss_mask: 0.7326, decode.d8.loss_dice: 1.1807, loss: 30.3319 2022-09-12 21:22:02,591 - mmseg - INFO - Iter [32200/80000] lr: 8.579e-07, eta: 1 day, 1:45:11, time: 1.840, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8627, decode.loss_mask: 0.7658, decode.loss_dice: 1.2059, decode.d0.loss_cls: 2.7452, decode.d0.loss_mask: 0.7723, decode.d0.loss_dice: 1.4208, decode.d1.loss_cls: 0.9513, decode.d1.loss_mask: 0.7950, decode.d1.loss_dice: 1.3070, decode.d2.loss_cls: 0.8894, decode.d2.loss_mask: 0.7770, decode.d2.loss_dice: 1.2551, decode.d3.loss_cls: 0.8696, decode.d3.loss_mask: 0.7674, decode.d3.loss_dice: 1.2274, decode.d4.loss_cls: 0.8704, decode.d4.loss_mask: 0.7673, decode.d4.loss_dice: 1.2248, decode.d5.loss_cls: 0.8643, decode.d5.loss_mask: 0.7648, decode.d5.loss_dice: 1.2225, decode.d6.loss_cls: 0.8638, decode.d6.loss_mask: 0.7617, decode.d6.loss_dice: 1.2103, decode.d7.loss_cls: 0.8624, decode.d7.loss_mask: 0.7653, decode.d7.loss_dice: 1.2111, decode.d8.loss_cls: 0.8686, decode.d8.loss_mask: 0.7595, decode.d8.loss_dice: 1.2057, loss: 30.8343 2022-09-12 21:23:34,815 - mmseg - INFO - Iter [32250/80000] lr: 8.570e-07, eta: 1 day, 1:43:28, time: 1.846, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8390, decode.loss_mask: 0.7751, decode.loss_dice: 1.2265, decode.d0.loss_cls: 2.7409, decode.d0.loss_mask: 0.7762, decode.d0.loss_dice: 1.4189, decode.d1.loss_cls: 0.9123, decode.d1.loss_mask: 0.8038, decode.d1.loss_dice: 1.3308, decode.d2.loss_cls: 0.8611, decode.d2.loss_mask: 0.7937, decode.d2.loss_dice: 1.2710, decode.d3.loss_cls: 0.8422, decode.d3.loss_mask: 0.7909, decode.d3.loss_dice: 1.2439, decode.d4.loss_cls: 0.8489, decode.d4.loss_mask: 0.7834, decode.d4.loss_dice: 1.2420, decode.d5.loss_cls: 0.8352, decode.d5.loss_mask: 0.7809, decode.d5.loss_dice: 1.2353, decode.d6.loss_cls: 0.8332, decode.d6.loss_mask: 0.7818, decode.d6.loss_dice: 1.2254, decode.d7.loss_cls: 0.8397, decode.d7.loss_mask: 0.7792, decode.d7.loss_dice: 1.2233, decode.d8.loss_cls: 0.8350, decode.d8.loss_mask: 0.7783, decode.d8.loss_dice: 1.2234, loss: 30.8714 2022-09-12 21:25:08,747 - mmseg - INFO - Iter [32300/80000] lr: 8.561e-07, eta: 1 day, 1:41:46, time: 1.879, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8548, decode.loss_mask: 0.7818, decode.loss_dice: 1.2322, decode.d0.loss_cls: 2.7359, decode.d0.loss_mask: 0.7868, decode.d0.loss_dice: 1.4347, decode.d1.loss_cls: 0.9258, decode.d1.loss_mask: 0.8076, decode.d1.loss_dice: 1.3352, decode.d2.loss_cls: 0.8858, decode.d2.loss_mask: 0.7962, decode.d2.loss_dice: 1.2704, decode.d3.loss_cls: 0.8703, decode.d3.loss_mask: 0.7879, decode.d3.loss_dice: 1.2459, decode.d4.loss_cls: 0.8641, decode.d4.loss_mask: 0.7896, decode.d4.loss_dice: 1.2426, decode.d5.loss_cls: 0.8631, decode.d5.loss_mask: 0.7884, decode.d5.loss_dice: 1.2432, decode.d6.loss_cls: 0.8578, decode.d6.loss_mask: 0.7779, decode.d6.loss_dice: 1.2265, decode.d7.loss_cls: 0.8578, decode.d7.loss_mask: 0.7818, decode.d7.loss_dice: 1.2310, decode.d8.loss_cls: 0.8555, decode.d8.loss_mask: 0.7829, decode.d8.loss_dice: 1.2363, loss: 31.1502 2022-09-12 21:26:42,356 - mmseg - INFO - Iter [32350/80000] lr: 8.552e-07, eta: 1 day, 1:40:04, time: 1.871, data_time: 0.012, memory: 42763, decode.loss_cls: 0.8227, decode.loss_mask: 0.7630, decode.loss_dice: 1.2144, decode.d0.loss_cls: 2.7014, decode.d0.loss_mask: 0.7678, decode.d0.loss_dice: 1.4080, decode.d1.loss_cls: 0.8930, decode.d1.loss_mask: 0.7990, decode.d1.loss_dice: 1.3227, decode.d2.loss_cls: 0.8441, decode.d2.loss_mask: 0.7825, decode.d2.loss_dice: 1.2632, decode.d3.loss_cls: 0.8315, decode.d3.loss_mask: 0.7789, decode.d3.loss_dice: 1.2448, decode.d4.loss_cls: 0.8286, decode.d4.loss_mask: 0.7719, decode.d4.loss_dice: 1.2430, decode.d5.loss_cls: 0.8250, decode.d5.loss_mask: 0.7667, decode.d5.loss_dice: 1.2312, decode.d6.loss_cls: 0.8189, decode.d6.loss_mask: 0.7607, decode.d6.loss_dice: 1.2157, decode.d7.loss_cls: 0.8230, decode.d7.loss_mask: 0.7617, decode.d7.loss_dice: 1.2171, decode.d8.loss_cls: 0.8161, decode.d8.loss_mask: 0.7622, decode.d8.loss_dice: 1.2209, loss: 30.4995 2022-09-12 21:28:16,729 - mmseg - INFO - Iter [32400/80000] lr: 8.543e-07, eta: 1 day, 1:38:23, time: 1.885, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8050, decode.loss_mask: 0.7782, decode.loss_dice: 1.2272, decode.d0.loss_cls: 2.7013, decode.d0.loss_mask: 0.7882, decode.d0.loss_dice: 1.4061, decode.d1.loss_cls: 0.8816, decode.d1.loss_mask: 0.8048, decode.d1.loss_dice: 1.2978, decode.d2.loss_cls: 0.8281, decode.d2.loss_mask: 0.7912, decode.d2.loss_dice: 1.2492, decode.d3.loss_cls: 0.8165, decode.d3.loss_mask: 0.7874, decode.d3.loss_dice: 1.2335, decode.d4.loss_cls: 0.8079, decode.d4.loss_mask: 0.7877, decode.d4.loss_dice: 1.2337, decode.d5.loss_cls: 0.8098, decode.d5.loss_mask: 0.7838, decode.d5.loss_dice: 1.2337, decode.d6.loss_cls: 0.8071, decode.d6.loss_mask: 0.7782, decode.d6.loss_dice: 1.2258, decode.d7.loss_cls: 0.8067, decode.d7.loss_mask: 0.7767, decode.d7.loss_dice: 1.2158, decode.d8.loss_cls: 0.8067, decode.d8.loss_mask: 0.7764, decode.d8.loss_dice: 1.2242, loss: 30.4705 2022-09-12 21:29:49,471 - mmseg - INFO - Iter [32450/80000] lr: 8.534e-07, eta: 1 day, 1:36:40, time: 1.858, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8342, decode.loss_mask: 0.7757, decode.loss_dice: 1.2070, decode.d0.loss_cls: 2.7383, decode.d0.loss_mask: 0.7735, decode.d0.loss_dice: 1.4042, decode.d1.loss_cls: 0.9100, decode.d1.loss_mask: 0.8068, decode.d1.loss_dice: 1.3008, decode.d2.loss_cls: 0.8588, decode.d2.loss_mask: 0.7856, decode.d2.loss_dice: 1.2412, decode.d3.loss_cls: 0.8435, decode.d3.loss_mask: 0.7777, decode.d3.loss_dice: 1.2301, decode.d4.loss_cls: 0.8373, decode.d4.loss_mask: 0.7809, decode.d4.loss_dice: 1.2234, decode.d5.loss_cls: 0.8326, decode.d5.loss_mask: 0.7806, decode.d5.loss_dice: 1.2160, decode.d6.loss_cls: 0.8373, decode.d6.loss_mask: 0.7759, decode.d6.loss_dice: 1.2057, decode.d7.loss_cls: 0.8353, decode.d7.loss_mask: 0.7769, decode.d7.loss_dice: 1.2066, decode.d8.loss_cls: 0.8345, decode.d8.loss_mask: 0.7746, decode.d8.loss_dice: 1.2074, loss: 30.6125 2022-09-12 21:31:22,917 - mmseg - INFO - Iter [32500/80000] lr: 8.525e-07, eta: 1 day, 1:34:58, time: 1.869, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8149, decode.loss_mask: 0.7922, decode.loss_dice: 1.2348, decode.d0.loss_cls: 2.7353, decode.d0.loss_mask: 0.7918, decode.d0.loss_dice: 1.4057, decode.d1.loss_cls: 0.9091, decode.d1.loss_mask: 0.8185, decode.d1.loss_dice: 1.3214, decode.d2.loss_cls: 0.8469, decode.d2.loss_mask: 0.8103, decode.d2.loss_dice: 1.2736, decode.d3.loss_cls: 0.8367, decode.d3.loss_mask: 0.8003, decode.d3.loss_dice: 1.2420, decode.d4.loss_cls: 0.8348, decode.d4.loss_mask: 0.7949, decode.d4.loss_dice: 1.2368, decode.d5.loss_cls: 0.8175, decode.d5.loss_mask: 0.7963, decode.d5.loss_dice: 1.2358, decode.d6.loss_cls: 0.8180, decode.d6.loss_mask: 0.7932, decode.d6.loss_dice: 1.2278, decode.d7.loss_cls: 0.8148, decode.d7.loss_mask: 0.7948, decode.d7.loss_dice: 1.2263, decode.d8.loss_cls: 0.8132, decode.d8.loss_mask: 0.7942, decode.d8.loss_dice: 1.2287, loss: 30.8607 2022-09-12 21:32:55,706 - mmseg - INFO - Iter [32550/80000] lr: 8.516e-07, eta: 1 day, 1:33:15, time: 1.856, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8360, decode.loss_mask: 0.8001, decode.loss_dice: 1.2380, decode.d0.loss_cls: 2.7143, decode.d0.loss_mask: 0.7999, decode.d0.loss_dice: 1.4258, decode.d1.loss_cls: 0.9155, decode.d1.loss_mask: 0.8283, decode.d1.loss_dice: 1.3196, decode.d2.loss_cls: 0.8648, decode.d2.loss_mask: 0.8084, decode.d2.loss_dice: 1.2747, decode.d3.loss_cls: 0.8529, decode.d3.loss_mask: 0.8076, decode.d3.loss_dice: 1.2486, decode.d4.loss_cls: 0.8487, decode.d4.loss_mask: 0.8035, decode.d4.loss_dice: 1.2440, decode.d5.loss_cls: 0.8395, decode.d5.loss_mask: 0.8055, decode.d5.loss_dice: 1.2401, decode.d6.loss_cls: 0.8311, decode.d6.loss_mask: 0.8025, decode.d6.loss_dice: 1.2407, decode.d7.loss_cls: 0.8341, decode.d7.loss_mask: 0.8046, decode.d7.loss_dice: 1.2317, decode.d8.loss_cls: 0.8384, decode.d8.loss_mask: 0.7985, decode.d8.loss_dice: 1.2313, loss: 31.1284 2022-09-12 21:34:27,354 - mmseg - INFO - Iter [32600/80000] lr: 8.507e-07, eta: 1 day, 1:31:31, time: 1.833, data_time: 0.012, memory: 42763, decode.loss_cls: 0.8371, decode.loss_mask: 0.7807, decode.loss_dice: 1.2229, decode.d0.loss_cls: 2.7536, decode.d0.loss_mask: 0.7983, decode.d0.loss_dice: 1.4282, decode.d1.loss_cls: 0.9037, decode.d1.loss_mask: 0.8160, decode.d1.loss_dice: 1.3195, decode.d2.loss_cls: 0.8604, decode.d2.loss_mask: 0.7967, decode.d2.loss_dice: 1.2637, decode.d3.loss_cls: 0.8488, decode.d3.loss_mask: 0.7902, decode.d3.loss_dice: 1.2347, decode.d4.loss_cls: 0.8444, decode.d4.loss_mask: 0.7896, decode.d4.loss_dice: 1.2379, decode.d5.loss_cls: 0.8386, decode.d5.loss_mask: 0.7845, decode.d5.loss_dice: 1.2325, decode.d6.loss_cls: 0.8320, decode.d6.loss_mask: 0.7805, decode.d6.loss_dice: 1.2230, decode.d7.loss_cls: 0.8332, decode.d7.loss_mask: 0.7780, decode.d7.loss_dice: 1.2221, decode.d8.loss_cls: 0.8318, decode.d8.loss_mask: 0.7814, decode.d8.loss_dice: 1.2230, loss: 30.8869 2022-09-12 21:36:00,008 - mmseg - INFO - Iter [32650/80000] lr: 8.498e-07, eta: 1 day, 1:29:47, time: 1.853, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8431, decode.loss_mask: 0.7772, decode.loss_dice: 1.2150, decode.d0.loss_cls: 2.7551, decode.d0.loss_mask: 0.7866, decode.d0.loss_dice: 1.4164, decode.d1.loss_cls: 0.9152, decode.d1.loss_mask: 0.8113, decode.d1.loss_dice: 1.3118, decode.d2.loss_cls: 0.8760, decode.d2.loss_mask: 0.7898, decode.d2.loss_dice: 1.2513, decode.d3.loss_cls: 0.8629, decode.d3.loss_mask: 0.7879, decode.d3.loss_dice: 1.2322, decode.d4.loss_cls: 0.8548, decode.d4.loss_mask: 0.7842, decode.d4.loss_dice: 1.2344, decode.d5.loss_cls: 0.8498, decode.d5.loss_mask: 0.7808, decode.d5.loss_dice: 1.2283, decode.d6.loss_cls: 0.8398, decode.d6.loss_mask: 0.7795, decode.d6.loss_dice: 1.2211, decode.d7.loss_cls: 0.8453, decode.d7.loss_mask: 0.7769, decode.d7.loss_dice: 1.2221, decode.d8.loss_cls: 0.8426, decode.d8.loss_mask: 0.7782, decode.d8.loss_dice: 1.2180, loss: 30.8878 2022-09-12 21:37:32,655 - mmseg - INFO - Iter [32700/80000] lr: 8.489e-07, eta: 1 day, 1:28:04, time: 1.853, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8109, decode.loss_mask: 0.7850, decode.loss_dice: 1.2218, decode.d0.loss_cls: 2.7154, decode.d0.loss_mask: 0.7868, decode.d0.loss_dice: 1.4052, decode.d1.loss_cls: 0.9001, decode.d1.loss_mask: 0.8109, decode.d1.loss_dice: 1.3072, decode.d2.loss_cls: 0.8393, decode.d2.loss_mask: 0.8003, decode.d2.loss_dice: 1.2625, decode.d3.loss_cls: 0.8313, decode.d3.loss_mask: 0.7895, decode.d3.loss_dice: 1.2406, decode.d4.loss_cls: 0.8195, decode.d4.loss_mask: 0.7877, decode.d4.loss_dice: 1.2409, decode.d5.loss_cls: 0.8080, decode.d5.loss_mask: 0.7911, decode.d5.loss_dice: 1.2393, decode.d6.loss_cls: 0.8118, decode.d6.loss_mask: 0.7844, decode.d6.loss_dice: 1.2225, decode.d7.loss_cls: 0.8122, decode.d7.loss_mask: 0.7803, decode.d7.loss_dice: 1.2216, decode.d8.loss_cls: 0.8126, decode.d8.loss_mask: 0.7829, decode.d8.loss_dice: 1.2131, loss: 30.6346 2022-09-12 21:39:04,565 - mmseg - INFO - Iter [32750/80000] lr: 8.480e-07, eta: 1 day, 1:26:20, time: 1.838, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8750, decode.loss_mask: 0.7753, decode.loss_dice: 1.2696, decode.d0.loss_cls: 2.7710, decode.d0.loss_mask: 0.7872, decode.d0.loss_dice: 1.4778, decode.d1.loss_cls: 0.9540, decode.d1.loss_mask: 0.8123, decode.d1.loss_dice: 1.3641, decode.d2.loss_cls: 0.8978, decode.d2.loss_mask: 0.7910, decode.d2.loss_dice: 1.3126, decode.d3.loss_cls: 0.8831, decode.d3.loss_mask: 0.7872, decode.d3.loss_dice: 1.2927, decode.d4.loss_cls: 0.8838, decode.d4.loss_mask: 0.7795, decode.d4.loss_dice: 1.2874, decode.d5.loss_cls: 0.8743, decode.d5.loss_mask: 0.7834, decode.d5.loss_dice: 1.2818, decode.d6.loss_cls: 0.8682, decode.d6.loss_mask: 0.7776, decode.d6.loss_dice: 1.2678, decode.d7.loss_cls: 0.8631, decode.d7.loss_mask: 0.7827, decode.d7.loss_dice: 1.2715, decode.d8.loss_cls: 0.8728, decode.d8.loss_mask: 0.7817, decode.d8.loss_dice: 1.2653, loss: 31.6917 2022-09-12 21:40:37,781 - mmseg - INFO - Iter [32800/80000] lr: 8.471e-07, eta: 1 day, 1:24:38, time: 1.864, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8241, decode.loss_mask: 0.7713, decode.loss_dice: 1.1938, decode.d0.loss_cls: 2.7438, decode.d0.loss_mask: 0.7793, decode.d0.loss_dice: 1.3951, decode.d1.loss_cls: 0.8991, decode.d1.loss_mask: 0.8014, decode.d1.loss_dice: 1.2812, decode.d2.loss_cls: 0.8499, decode.d2.loss_mask: 0.7791, decode.d2.loss_dice: 1.2351, decode.d3.loss_cls: 0.8426, decode.d3.loss_mask: 0.7767, decode.d3.loss_dice: 1.2112, decode.d4.loss_cls: 0.8392, decode.d4.loss_mask: 0.7793, decode.d4.loss_dice: 1.2181, decode.d5.loss_cls: 0.8346, decode.d5.loss_mask: 0.7760, decode.d5.loss_dice: 1.2096, decode.d6.loss_cls: 0.8286, decode.d6.loss_mask: 0.7685, decode.d6.loss_dice: 1.2070, decode.d7.loss_cls: 0.8292, decode.d7.loss_mask: 0.7712, decode.d7.loss_dice: 1.1953, decode.d8.loss_cls: 0.8266, decode.d8.loss_mask: 0.7733, decode.d8.loss_dice: 1.2004, loss: 30.4406 2022-09-12 21:42:10,005 - mmseg - INFO - Iter [32850/80000] lr: 8.462e-07, eta: 1 day, 1:22:54, time: 1.845, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8374, decode.loss_mask: 0.7627, decode.loss_dice: 1.2048, decode.d0.loss_cls: 2.7088, decode.d0.loss_mask: 0.7684, decode.d0.loss_dice: 1.4071, decode.d1.loss_cls: 0.9112, decode.d1.loss_mask: 0.7929, decode.d1.loss_dice: 1.2887, decode.d2.loss_cls: 0.8517, decode.d2.loss_mask: 0.7740, decode.d2.loss_dice: 1.2446, decode.d3.loss_cls: 0.8436, decode.d3.loss_mask: 0.7695, decode.d3.loss_dice: 1.2212, decode.d4.loss_cls: 0.8501, decode.d4.loss_mask: 0.7609, decode.d4.loss_dice: 1.2215, decode.d5.loss_cls: 0.8417, decode.d5.loss_mask: 0.7576, decode.d5.loss_dice: 1.2184, decode.d6.loss_cls: 0.8427, decode.d6.loss_mask: 0.7589, decode.d6.loss_dice: 1.2078, decode.d7.loss_cls: 0.8351, decode.d7.loss_mask: 0.7577, decode.d7.loss_dice: 1.2032, decode.d8.loss_cls: 0.8311, decode.d8.loss_mask: 0.7583, decode.d8.loss_dice: 1.2023, loss: 30.4338 2022-09-12 21:43:43,206 - mmseg - INFO - Iter [32900/80000] lr: 8.453e-07, eta: 1 day, 1:21:12, time: 1.864, data_time: 0.012, memory: 42763, decode.loss_cls: 0.8548, decode.loss_mask: 0.7775, decode.loss_dice: 1.2358, decode.d0.loss_cls: 2.7282, decode.d0.loss_mask: 0.7801, decode.d0.loss_dice: 1.4326, decode.d1.loss_cls: 0.9391, decode.d1.loss_mask: 0.8071, decode.d1.loss_dice: 1.3352, decode.d2.loss_cls: 0.8789, decode.d2.loss_mask: 0.7963, decode.d2.loss_dice: 1.2786, decode.d3.loss_cls: 0.8656, decode.d3.loss_mask: 0.7809, decode.d3.loss_dice: 1.2548, decode.d4.loss_cls: 0.8601, decode.d4.loss_mask: 0.7854, decode.d4.loss_dice: 1.2535, decode.d5.loss_cls: 0.8569, decode.d5.loss_mask: 0.7860, decode.d5.loss_dice: 1.2569, decode.d6.loss_cls: 0.8580, decode.d6.loss_mask: 0.7808, decode.d6.loss_dice: 1.2513, decode.d7.loss_cls: 0.8593, decode.d7.loss_mask: 0.7761, decode.d7.loss_dice: 1.2429, decode.d8.loss_cls: 0.8511, decode.d8.loss_mask: 0.7771, decode.d8.loss_dice: 1.2397, loss: 31.1809 2022-09-12 21:45:15,935 - mmseg - INFO - Iter [32950/80000] lr: 8.444e-07, eta: 1 day, 1:19:29, time: 1.855, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7908, decode.loss_mask: 0.7682, decode.loss_dice: 1.1991, decode.d0.loss_cls: 2.6909, decode.d0.loss_mask: 0.7773, decode.d0.loss_dice: 1.3893, decode.d1.loss_cls: 0.8683, decode.d1.loss_mask: 0.7935, decode.d1.loss_dice: 1.2954, decode.d2.loss_cls: 0.8111, decode.d2.loss_mask: 0.7795, decode.d2.loss_dice: 1.2439, decode.d3.loss_cls: 0.8088, decode.d3.loss_mask: 0.7751, decode.d3.loss_dice: 1.2154, decode.d4.loss_cls: 0.8036, decode.d4.loss_mask: 0.7643, decode.d4.loss_dice: 1.2169, decode.d5.loss_cls: 0.7963, decode.d5.loss_mask: 0.7688, decode.d5.loss_dice: 1.2130, decode.d6.loss_cls: 0.7862, decode.d6.loss_mask: 0.7655, decode.d6.loss_dice: 1.1975, decode.d7.loss_cls: 0.7829, decode.d7.loss_mask: 0.7678, decode.d7.loss_dice: 1.1972, decode.d8.loss_cls: 0.7863, decode.d8.loss_mask: 0.7689, decode.d8.loss_dice: 1.1995, loss: 30.0213 2022-09-12 21:46:48,955 - mmseg - INFO - Saving checkpoint at 33000 iterations 2022-09-12 21:47:20,173 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 21:47:20,177 - mmseg - INFO - Iter [33000/80000] lr: 8.435e-07, eta: 1 day, 1:18:31, time: 2.482, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7965, decode.loss_mask: 0.7922, decode.loss_dice: 1.2374, decode.d0.loss_cls: 2.6428, decode.d0.loss_mask: 0.7921, decode.d0.loss_dice: 1.4142, decode.d1.loss_cls: 0.8951, decode.d1.loss_mask: 0.8128, decode.d1.loss_dice: 1.3362, decode.d2.loss_cls: 0.8383, decode.d2.loss_mask: 0.7987, decode.d2.loss_dice: 1.2761, decode.d3.loss_cls: 0.8171, decode.d3.loss_mask: 0.7936, decode.d3.loss_dice: 1.2543, decode.d4.loss_cls: 0.8168, decode.d4.loss_mask: 0.7941, decode.d4.loss_dice: 1.2564, decode.d5.loss_cls: 0.8102, decode.d5.loss_mask: 0.7917, decode.d5.loss_dice: 1.2448, decode.d6.loss_cls: 0.7998, decode.d6.loss_mask: 0.7929, decode.d6.loss_dice: 1.2371, decode.d7.loss_cls: 0.7940, decode.d7.loss_mask: 0.7950, decode.d7.loss_dice: 1.2387, decode.d8.loss_cls: 0.7977, decode.d8.loss_mask: 0.7910, decode.d8.loss_dice: 1.2447, loss: 30.7024 2022-09-12 21:48:52,992 - mmseg - INFO - Iter [33050/80000] lr: 8.427e-07, eta: 1 day, 1:16:49, time: 1.859, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7921, decode.loss_mask: 0.7679, decode.loss_dice: 1.1960, decode.d0.loss_cls: 2.6709, decode.d0.loss_mask: 0.7755, decode.d0.loss_dice: 1.3797, decode.d1.loss_cls: 0.8650, decode.d1.loss_mask: 0.7980, decode.d1.loss_dice: 1.2829, decode.d2.loss_cls: 0.8212, decode.d2.loss_mask: 0.7794, decode.d2.loss_dice: 1.2321, decode.d3.loss_cls: 0.8135, decode.d3.loss_mask: 0.7721, decode.d3.loss_dice: 1.2053, decode.d4.loss_cls: 0.8115, decode.d4.loss_mask: 0.7704, decode.d4.loss_dice: 1.2107, decode.d5.loss_cls: 0.8033, decode.d5.loss_mask: 0.7616, decode.d5.loss_dice: 1.2045, decode.d6.loss_cls: 0.7919, decode.d6.loss_mask: 0.7643, decode.d6.loss_dice: 1.1901, decode.d7.loss_cls: 0.7929, decode.d7.loss_mask: 0.7624, decode.d7.loss_dice: 1.1931, decode.d8.loss_cls: 0.7931, decode.d8.loss_mask: 0.7625, decode.d8.loss_dice: 1.1903, loss: 29.9543 2022-09-12 21:50:26,853 - mmseg - INFO - Iter [33100/80000] lr: 8.418e-07, eta: 1 day, 1:15:07, time: 1.877, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8332, decode.loss_mask: 0.7844, decode.loss_dice: 1.2442, decode.d0.loss_cls: 2.7467, decode.d0.loss_mask: 0.7908, decode.d0.loss_dice: 1.4317, decode.d1.loss_cls: 0.9246, decode.d1.loss_mask: 0.8149, decode.d1.loss_dice: 1.3342, decode.d2.loss_cls: 0.8651, decode.d2.loss_mask: 0.8009, decode.d2.loss_dice: 1.2811, decode.d3.loss_cls: 0.8517, decode.d3.loss_mask: 0.7928, decode.d3.loss_dice: 1.2661, decode.d4.loss_cls: 0.8553, decode.d4.loss_mask: 0.7926, decode.d4.loss_dice: 1.2600, decode.d5.loss_cls: 0.8445, decode.d5.loss_mask: 0.7910, decode.d5.loss_dice: 1.2583, decode.d6.loss_cls: 0.8437, decode.d6.loss_mask: 0.7839, decode.d6.loss_dice: 1.2481, decode.d7.loss_cls: 0.8374, decode.d7.loss_mask: 0.7850, decode.d7.loss_dice: 1.2499, decode.d8.loss_cls: 0.8350, decode.d8.loss_mask: 0.7854, decode.d8.loss_dice: 1.2494, loss: 31.1815 2022-09-12 21:51:59,678 - mmseg - INFO - Iter [33150/80000] lr: 8.409e-07, eta: 1 day, 1:13:25, time: 1.856, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8262, decode.loss_mask: 0.7811, decode.loss_dice: 1.1776, decode.d0.loss_cls: 2.6998, decode.d0.loss_mask: 0.7872, decode.d0.loss_dice: 1.3735, decode.d1.loss_cls: 0.8980, decode.d1.loss_mask: 0.8108, decode.d1.loss_dice: 1.2672, decode.d2.loss_cls: 0.8594, decode.d2.loss_mask: 0.7967, decode.d2.loss_dice: 1.2198, decode.d3.loss_cls: 0.8450, decode.d3.loss_mask: 0.7891, decode.d3.loss_dice: 1.2016, decode.d4.loss_cls: 0.8393, decode.d4.loss_mask: 0.7880, decode.d4.loss_dice: 1.2017, decode.d5.loss_cls: 0.8321, decode.d5.loss_mask: 0.7871, decode.d5.loss_dice: 1.1899, decode.d6.loss_cls: 0.8250, decode.d6.loss_mask: 0.7829, decode.d6.loss_dice: 1.1807, decode.d7.loss_cls: 0.8246, decode.d7.loss_mask: 0.7850, decode.d7.loss_dice: 1.1827, decode.d8.loss_cls: 0.8239, decode.d8.loss_mask: 0.7840, decode.d8.loss_dice: 1.1924, loss: 30.3519 2022-09-12 21:53:30,997 - mmseg - INFO - Iter [33200/80000] lr: 8.400e-07, eta: 1 day, 1:11:40, time: 1.826, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8352, decode.loss_mask: 0.7801, decode.loss_dice: 1.2159, decode.d0.loss_cls: 2.7344, decode.d0.loss_mask: 0.7787, decode.d0.loss_dice: 1.4126, decode.d1.loss_cls: 0.9120, decode.d1.loss_mask: 0.8075, decode.d1.loss_dice: 1.3127, decode.d2.loss_cls: 0.8534, decode.d2.loss_mask: 0.7957, decode.d2.loss_dice: 1.2670, decode.d3.loss_cls: 0.8474, decode.d3.loss_mask: 0.7912, decode.d3.loss_dice: 1.2362, decode.d4.loss_cls: 0.8451, decode.d4.loss_mask: 0.7845, decode.d4.loss_dice: 1.2378, decode.d5.loss_cls: 0.8372, decode.d5.loss_mask: 0.7817, decode.d5.loss_dice: 1.2325, decode.d6.loss_cls: 0.8412, decode.d6.loss_mask: 0.7804, decode.d6.loss_dice: 1.2226, decode.d7.loss_cls: 0.8392, decode.d7.loss_mask: 0.7733, decode.d7.loss_dice: 1.2162, decode.d8.loss_cls: 0.8341, decode.d8.loss_mask: 0.7791, decode.d8.loss_dice: 1.2189, loss: 30.8037 2022-09-12 21:55:04,133 - mmseg - INFO - Iter [33250/80000] lr: 8.391e-07, eta: 1 day, 1:09:58, time: 1.863, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8067, decode.loss_mask: 0.7753, decode.loss_dice: 1.2214, decode.d0.loss_cls: 2.6720, decode.d0.loss_mask: 0.7800, decode.d0.loss_dice: 1.4220, decode.d1.loss_cls: 0.8939, decode.d1.loss_mask: 0.7961, decode.d1.loss_dice: 1.3127, decode.d2.loss_cls: 0.8285, decode.d2.loss_mask: 0.7822, decode.d2.loss_dice: 1.2575, decode.d3.loss_cls: 0.8209, decode.d3.loss_mask: 0.7788, decode.d3.loss_dice: 1.2294, decode.d4.loss_cls: 0.8109, decode.d4.loss_mask: 0.7836, decode.d4.loss_dice: 1.2252, decode.d5.loss_cls: 0.8082, decode.d5.loss_mask: 0.7767, decode.d5.loss_dice: 1.2247, decode.d6.loss_cls: 0.8011, decode.d6.loss_mask: 0.7754, decode.d6.loss_dice: 1.2283, decode.d7.loss_cls: 0.8017, decode.d7.loss_mask: 0.7780, decode.d7.loss_dice: 1.2224, decode.d8.loss_cls: 0.8050, decode.d8.loss_mask: 0.7736, decode.d8.loss_dice: 1.2197, loss: 30.4118 2022-09-12 21:56:38,189 - mmseg - INFO - Iter [33300/80000] lr: 8.382e-07, eta: 1 day, 1:08:17, time: 1.880, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8475, decode.loss_mask: 0.7763, decode.loss_dice: 1.2369, decode.d0.loss_cls: 2.7771, decode.d0.loss_mask: 0.7869, decode.d0.loss_dice: 1.4318, decode.d1.loss_cls: 0.9225, decode.d1.loss_mask: 0.8116, decode.d1.loss_dice: 1.3255, decode.d2.loss_cls: 0.8740, decode.d2.loss_mask: 0.7953, decode.d2.loss_dice: 1.2801, decode.d3.loss_cls: 0.8640, decode.d3.loss_mask: 0.7826, decode.d3.loss_dice: 1.2563, decode.d4.loss_cls: 0.8562, decode.d4.loss_mask: 0.7812, decode.d4.loss_dice: 1.2568, decode.d5.loss_cls: 0.8571, decode.d5.loss_mask: 0.7851, decode.d5.loss_dice: 1.2446, decode.d6.loss_cls: 0.8556, decode.d6.loss_mask: 0.7742, decode.d6.loss_dice: 1.2438, decode.d7.loss_cls: 0.8454, decode.d7.loss_mask: 0.7772, decode.d7.loss_dice: 1.2366, decode.d8.loss_cls: 0.8504, decode.d8.loss_mask: 0.7748, decode.d8.loss_dice: 1.2434, loss: 31.1506 2022-09-12 21:58:10,753 - mmseg - INFO - Iter [33350/80000] lr: 8.373e-07, eta: 1 day, 1:06:34, time: 1.852, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7923, decode.loss_mask: 0.7693, decode.loss_dice: 1.1819, decode.d0.loss_cls: 2.6308, decode.d0.loss_mask: 0.7648, decode.d0.loss_dice: 1.3705, decode.d1.loss_cls: 0.8664, decode.d1.loss_mask: 0.7948, decode.d1.loss_dice: 1.2680, decode.d2.loss_cls: 0.8161, decode.d2.loss_mask: 0.7833, decode.d2.loss_dice: 1.2234, decode.d3.loss_cls: 0.8062, decode.d3.loss_mask: 0.7804, decode.d3.loss_dice: 1.2006, decode.d4.loss_cls: 0.8062, decode.d4.loss_mask: 0.7757, decode.d4.loss_dice: 1.2004, decode.d5.loss_cls: 0.7870, decode.d5.loss_mask: 0.7759, decode.d5.loss_dice: 1.1936, decode.d6.loss_cls: 0.7891, decode.d6.loss_mask: 0.7715, decode.d6.loss_dice: 1.1864, decode.d7.loss_cls: 0.7885, decode.d7.loss_mask: 0.7691, decode.d7.loss_dice: 1.1859, decode.d8.loss_cls: 0.7880, decode.d8.loss_mask: 0.7682, decode.d8.loss_dice: 1.1824, loss: 29.8165 2022-09-12 21:59:43,134 - mmseg - INFO - Iter [33400/80000] lr: 8.364e-07, eta: 1 day, 1:04:51, time: 1.848, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8040, decode.loss_mask: 0.7877, decode.loss_dice: 1.2000, decode.d0.loss_cls: 2.6964, decode.d0.loss_mask: 0.7967, decode.d0.loss_dice: 1.3998, decode.d1.loss_cls: 0.8895, decode.d1.loss_mask: 0.8083, decode.d1.loss_dice: 1.2891, decode.d2.loss_cls: 0.8301, decode.d2.loss_mask: 0.7976, decode.d2.loss_dice: 1.2368, decode.d3.loss_cls: 0.8239, decode.d3.loss_mask: 0.7909, decode.d3.loss_dice: 1.2111, decode.d4.loss_cls: 0.8192, decode.d4.loss_mask: 0.7906, decode.d4.loss_dice: 1.2078, decode.d5.loss_cls: 0.8149, decode.d5.loss_mask: 0.7878, decode.d5.loss_dice: 1.2106, decode.d6.loss_cls: 0.8161, decode.d6.loss_mask: 0.7845, decode.d6.loss_dice: 1.2005, decode.d7.loss_cls: 0.8130, decode.d7.loss_mask: 0.7836, decode.d7.loss_dice: 1.1960, decode.d8.loss_cls: 0.8144, decode.d8.loss_mask: 0.7840, decode.d8.loss_dice: 1.1955, loss: 30.3803 2022-09-12 22:01:16,476 - mmseg - INFO - Iter [33450/80000] lr: 8.355e-07, eta: 1 day, 1:03:09, time: 1.867, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7961, decode.loss_mask: 0.7837, decode.loss_dice: 1.2004, decode.d0.loss_cls: 2.6631, decode.d0.loss_mask: 0.7891, decode.d0.loss_dice: 1.3846, decode.d1.loss_cls: 0.8720, decode.d1.loss_mask: 0.8173, decode.d1.loss_dice: 1.2823, decode.d2.loss_cls: 0.8231, decode.d2.loss_mask: 0.7939, decode.d2.loss_dice: 1.2390, decode.d3.loss_cls: 0.8092, decode.d3.loss_mask: 0.7891, decode.d3.loss_dice: 1.2141, decode.d4.loss_cls: 0.8042, decode.d4.loss_mask: 0.7917, decode.d4.loss_dice: 1.2107, decode.d5.loss_cls: 0.8045, decode.d5.loss_mask: 0.7860, decode.d5.loss_dice: 1.2044, decode.d6.loss_cls: 0.8005, decode.d6.loss_mask: 0.7840, decode.d6.loss_dice: 1.1926, decode.d7.loss_cls: 0.7998, decode.d7.loss_mask: 0.7835, decode.d7.loss_dice: 1.1927, decode.d8.loss_cls: 0.7897, decode.d8.loss_mask: 0.7841, decode.d8.loss_dice: 1.2012, loss: 30.1868 2022-09-12 22:02:48,533 - mmseg - INFO - Iter [33500/80000] lr: 8.346e-07, eta: 1 day, 1:01:25, time: 1.841, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8308, decode.loss_mask: 0.7955, decode.loss_dice: 1.2384, decode.d0.loss_cls: 2.7120, decode.d0.loss_mask: 0.8005, decode.d0.loss_dice: 1.4216, decode.d1.loss_cls: 0.8965, decode.d1.loss_mask: 0.8250, decode.d1.loss_dice: 1.3339, decode.d2.loss_cls: 0.8598, decode.d2.loss_mask: 0.8056, decode.d2.loss_dice: 1.2810, decode.d3.loss_cls: 0.8485, decode.d3.loss_mask: 0.8006, decode.d3.loss_dice: 1.2541, decode.d4.loss_cls: 0.8513, decode.d4.loss_mask: 0.7979, decode.d4.loss_dice: 1.2564, decode.d5.loss_cls: 0.8368, decode.d5.loss_mask: 0.7974, decode.d5.loss_dice: 1.2492, decode.d6.loss_cls: 0.8385, decode.d6.loss_mask: 0.7942, decode.d6.loss_dice: 1.2356, decode.d7.loss_cls: 0.8359, decode.d7.loss_mask: 0.7976, decode.d7.loss_dice: 1.2436, decode.d8.loss_cls: 0.8303, decode.d8.loss_mask: 0.7969, decode.d8.loss_dice: 1.2403, loss: 31.1059 2022-09-12 22:04:22,672 - mmseg - INFO - Iter [33550/80000] lr: 8.337e-07, eta: 1 day, 0:59:45, time: 1.883, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8374, decode.loss_mask: 0.7402, decode.loss_dice: 1.1963, decode.d0.loss_cls: 2.7245, decode.d0.loss_mask: 0.7478, decode.d0.loss_dice: 1.3809, decode.d1.loss_cls: 0.9085, decode.d1.loss_mask: 0.7743, decode.d1.loss_dice: 1.2965, decode.d2.loss_cls: 0.8491, decode.d2.loss_mask: 0.7626, decode.d2.loss_dice: 1.2444, decode.d3.loss_cls: 0.8421, decode.d3.loss_mask: 0.7521, decode.d3.loss_dice: 1.2205, decode.d4.loss_cls: 0.8364, decode.d4.loss_mask: 0.7488, decode.d4.loss_dice: 1.2172, decode.d5.loss_cls: 0.8309, decode.d5.loss_mask: 0.7436, decode.d5.loss_dice: 1.2124, decode.d6.loss_cls: 0.8246, decode.d6.loss_mask: 0.7483, decode.d6.loss_dice: 1.2029, decode.d7.loss_cls: 0.8303, decode.d7.loss_mask: 0.7414, decode.d7.loss_dice: 1.2023, decode.d8.loss_cls: 0.8325, decode.d8.loss_mask: 0.7424, decode.d8.loss_dice: 1.2059, loss: 30.1968 2022-09-12 22:05:56,971 - mmseg - INFO - Iter [33600/80000] lr: 8.328e-07, eta: 1 day, 0:58:04, time: 1.886, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8077, decode.loss_mask: 0.7878, decode.loss_dice: 1.2087, decode.d0.loss_cls: 2.6645, decode.d0.loss_mask: 0.7982, decode.d0.loss_dice: 1.3932, decode.d1.loss_cls: 0.8749, decode.d1.loss_mask: 0.8167, decode.d1.loss_dice: 1.2910, decode.d2.loss_cls: 0.8330, decode.d2.loss_mask: 0.8014, decode.d2.loss_dice: 1.2441, decode.d3.loss_cls: 0.8316, decode.d3.loss_mask: 0.7938, decode.d3.loss_dice: 1.2258, decode.d4.loss_cls: 0.8265, decode.d4.loss_mask: 0.7907, decode.d4.loss_dice: 1.2185, decode.d5.loss_cls: 0.8171, decode.d5.loss_mask: 0.7900, decode.d5.loss_dice: 1.2131, decode.d6.loss_cls: 0.8118, decode.d6.loss_mask: 0.7867, decode.d6.loss_dice: 1.2082, decode.d7.loss_cls: 0.8089, decode.d7.loss_mask: 0.7905, decode.d7.loss_dice: 1.2102, decode.d8.loss_cls: 0.8048, decode.d8.loss_mask: 0.7863, decode.d8.loss_dice: 1.2121, loss: 30.4477 2022-09-12 22:07:28,690 - mmseg - INFO - Iter [33650/80000] lr: 8.319e-07, eta: 1 day, 0:56:20, time: 1.834, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8540, decode.loss_mask: 0.7795, decode.loss_dice: 1.2247, decode.d0.loss_cls: 2.7304, decode.d0.loss_mask: 0.7847, decode.d0.loss_dice: 1.4222, decode.d1.loss_cls: 0.9307, decode.d1.loss_mask: 0.8143, decode.d1.loss_dice: 1.3231, decode.d2.loss_cls: 0.8698, decode.d2.loss_mask: 0.7943, decode.d2.loss_dice: 1.2743, decode.d3.loss_cls: 0.8590, decode.d3.loss_mask: 0.7900, decode.d3.loss_dice: 1.2371, decode.d4.loss_cls: 0.8624, decode.d4.loss_mask: 0.7836, decode.d4.loss_dice: 1.2299, decode.d5.loss_cls: 0.8559, decode.d5.loss_mask: 0.7823, decode.d5.loss_dice: 1.2263, decode.d6.loss_cls: 0.8565, decode.d6.loss_mask: 0.7817, decode.d6.loss_dice: 1.2265, decode.d7.loss_cls: 0.8510, decode.d7.loss_mask: 0.7812, decode.d7.loss_dice: 1.2174, decode.d8.loss_cls: 0.8515, decode.d8.loss_mask: 0.7831, decode.d8.loss_dice: 1.2173, loss: 30.9946 2022-09-12 22:09:02,972 - mmseg - INFO - Iter [33700/80000] lr: 8.310e-07, eta: 1 day, 0:54:40, time: 1.885, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8153, decode.loss_mask: 0.7788, decode.loss_dice: 1.2239, decode.d0.loss_cls: 2.6772, decode.d0.loss_mask: 0.7887, decode.d0.loss_dice: 1.4032, decode.d1.loss_cls: 0.8828, decode.d1.loss_mask: 0.8109, decode.d1.loss_dice: 1.3064, decode.d2.loss_cls: 0.8317, decode.d2.loss_mask: 0.7931, decode.d2.loss_dice: 1.2620, decode.d3.loss_cls: 0.8268, decode.d3.loss_mask: 0.7794, decode.d3.loss_dice: 1.2313, decode.d4.loss_cls: 0.8294, decode.d4.loss_mask: 0.7752, decode.d4.loss_dice: 1.2290, decode.d5.loss_cls: 0.8101, decode.d5.loss_mask: 0.7768, decode.d5.loss_dice: 1.2320, decode.d6.loss_cls: 0.8174, decode.d6.loss_mask: 0.7690, decode.d6.loss_dice: 1.2222, decode.d7.loss_cls: 0.8152, decode.d7.loss_mask: 0.7733, decode.d7.loss_dice: 1.2239, decode.d8.loss_cls: 0.8129, decode.d8.loss_mask: 0.7735, decode.d8.loss_dice: 1.2276, loss: 30.4989 2022-09-12 22:10:35,650 - mmseg - INFO - Iter [33750/80000] lr: 8.301e-07, eta: 1 day, 0:52:57, time: 1.854, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8596, decode.loss_mask: 0.7866, decode.loss_dice: 1.2162, decode.d0.loss_cls: 2.7166, decode.d0.loss_mask: 0.7951, decode.d0.loss_dice: 1.4059, decode.d1.loss_cls: 0.9346, decode.d1.loss_mask: 0.8195, decode.d1.loss_dice: 1.3084, decode.d2.loss_cls: 0.8777, decode.d2.loss_mask: 0.8076, decode.d2.loss_dice: 1.2536, decode.d3.loss_cls: 0.8704, decode.d3.loss_mask: 0.8065, decode.d3.loss_dice: 1.2305, decode.d4.loss_cls: 0.8598, decode.d4.loss_mask: 0.8074, decode.d4.loss_dice: 1.2277, decode.d5.loss_cls: 0.8656, decode.d5.loss_mask: 0.7952, decode.d5.loss_dice: 1.2195, decode.d6.loss_cls: 0.8680, decode.d6.loss_mask: 0.7929, decode.d6.loss_dice: 1.2128, decode.d7.loss_cls: 0.8591, decode.d7.loss_mask: 0.7907, decode.d7.loss_dice: 1.2230, decode.d8.loss_cls: 0.8581, decode.d8.loss_mask: 0.7888, decode.d8.loss_dice: 1.2208, loss: 31.0784 2022-09-12 22:12:08,611 - mmseg - INFO - Iter [33800/80000] lr: 8.292e-07, eta: 1 day, 0:51:15, time: 1.859, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8096, decode.loss_mask: 0.8087, decode.loss_dice: 1.1991, decode.d0.loss_cls: 2.6757, decode.d0.loss_mask: 0.8122, decode.d0.loss_dice: 1.3975, decode.d1.loss_cls: 0.8786, decode.d1.loss_mask: 0.8389, decode.d1.loss_dice: 1.3014, decode.d2.loss_cls: 0.8302, decode.d2.loss_mask: 0.8229, decode.d2.loss_dice: 1.2476, decode.d3.loss_cls: 0.8205, decode.d3.loss_mask: 0.8145, decode.d3.loss_dice: 1.2280, decode.d4.loss_cls: 0.8202, decode.d4.loss_mask: 0.8140, decode.d4.loss_dice: 1.2262, decode.d5.loss_cls: 0.8152, decode.d5.loss_mask: 0.8100, decode.d5.loss_dice: 1.2193, decode.d6.loss_cls: 0.8157, decode.d6.loss_mask: 0.8049, decode.d6.loss_dice: 1.2062, decode.d7.loss_cls: 0.8095, decode.d7.loss_mask: 0.8091, decode.d7.loss_dice: 1.2111, decode.d8.loss_cls: 0.8125, decode.d8.loss_mask: 0.8109, decode.d8.loss_dice: 1.2086, loss: 30.6789 2022-09-12 22:13:41,609 - mmseg - INFO - Iter [33850/80000] lr: 8.283e-07, eta: 1 day, 0:49:33, time: 1.859, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8018, decode.loss_mask: 0.7671, decode.loss_dice: 1.2055, decode.d0.loss_cls: 2.6621, decode.d0.loss_mask: 0.7812, decode.d0.loss_dice: 1.3965, decode.d1.loss_cls: 0.8763, decode.d1.loss_mask: 0.8008, decode.d1.loss_dice: 1.2978, decode.d2.loss_cls: 0.8266, decode.d2.loss_mask: 0.7923, decode.d2.loss_dice: 1.2509, decode.d3.loss_cls: 0.8173, decode.d3.loss_mask: 0.7748, decode.d3.loss_dice: 1.2245, decode.d4.loss_cls: 0.8061, decode.d4.loss_mask: 0.7758, decode.d4.loss_dice: 1.2239, decode.d5.loss_cls: 0.8103, decode.d5.loss_mask: 0.7709, decode.d5.loss_dice: 1.2266, decode.d6.loss_cls: 0.8026, decode.d6.loss_mask: 0.7675, decode.d6.loss_dice: 1.2137, decode.d7.loss_cls: 0.7957, decode.d7.loss_mask: 0.7624, decode.d7.loss_dice: 1.2122, decode.d8.loss_cls: 0.7924, decode.d8.loss_mask: 0.7669, decode.d8.loss_dice: 1.2091, loss: 30.2113 2022-09-12 22:15:14,790 - mmseg - INFO - Iter [33900/80000] lr: 8.274e-07, eta: 1 day, 0:47:51, time: 1.864, data_time: 0.017, memory: 42763, decode.loss_cls: 0.8210, decode.loss_mask: 0.7983, decode.loss_dice: 1.2363, decode.d0.loss_cls: 2.6885, decode.d0.loss_mask: 0.7929, decode.d0.loss_dice: 1.4257, decode.d1.loss_cls: 0.8979, decode.d1.loss_mask: 0.8226, decode.d1.loss_dice: 1.3305, decode.d2.loss_cls: 0.8408, decode.d2.loss_mask: 0.8127, decode.d2.loss_dice: 1.2822, decode.d3.loss_cls: 0.8417, decode.d3.loss_mask: 0.8032, decode.d3.loss_dice: 1.2573, decode.d4.loss_cls: 0.8269, decode.d4.loss_mask: 0.7977, decode.d4.loss_dice: 1.2585, decode.d5.loss_cls: 0.8249, decode.d5.loss_mask: 0.8028, decode.d5.loss_dice: 1.2451, decode.d6.loss_cls: 0.8197, decode.d6.loss_mask: 0.7942, decode.d6.loss_dice: 1.2358, decode.d7.loss_cls: 0.8187, decode.d7.loss_mask: 0.7974, decode.d7.loss_dice: 1.2396, decode.d8.loss_cls: 0.8210, decode.d8.loss_mask: 0.7948, decode.d8.loss_dice: 1.2372, loss: 30.9660 2022-09-12 22:16:47,418 - mmseg - INFO - Iter [33950/80000] lr: 8.265e-07, eta: 1 day, 0:46:09, time: 1.852, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8467, decode.loss_mask: 0.7649, decode.loss_dice: 1.1911, decode.d0.loss_cls: 2.7519, decode.d0.loss_mask: 0.7616, decode.d0.loss_dice: 1.3988, decode.d1.loss_cls: 0.9167, decode.d1.loss_mask: 0.7944, decode.d1.loss_dice: 1.2826, decode.d2.loss_cls: 0.8611, decode.d2.loss_mask: 0.7796, decode.d2.loss_dice: 1.2433, decode.d3.loss_cls: 0.8574, decode.d3.loss_mask: 0.7730, decode.d3.loss_dice: 1.2198, decode.d4.loss_cls: 0.8522, decode.d4.loss_mask: 0.7696, decode.d4.loss_dice: 1.2117, decode.d5.loss_cls: 0.8438, decode.d5.loss_mask: 0.7703, decode.d5.loss_dice: 1.2092, decode.d6.loss_cls: 0.8467, decode.d6.loss_mask: 0.7669, decode.d6.loss_dice: 1.2009, decode.d7.loss_cls: 0.8334, decode.d7.loss_mask: 0.7681, decode.d7.loss_dice: 1.2052, decode.d8.loss_cls: 0.8342, decode.d8.loss_mask: 0.7640, decode.d8.loss_dice: 1.1940, loss: 30.5130 2022-09-12 22:18:20,949 - mmseg - INFO - Saving checkpoint at 34000 iterations 2022-09-12 22:18:52,115 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 22:18:52,123 - mmseg - INFO - Iter [34000/80000] lr: 8.256e-07, eta: 1 day, 0:45:10, time: 2.492, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8023, decode.loss_mask: 0.7701, decode.loss_dice: 1.2268, decode.d0.loss_cls: 2.6585, decode.d0.loss_mask: 0.7771, decode.d0.loss_dice: 1.4035, decode.d1.loss_cls: 0.8882, decode.d1.loss_mask: 0.8013, decode.d1.loss_dice: 1.3128, decode.d2.loss_cls: 0.8240, decode.d2.loss_mask: 0.7819, decode.d2.loss_dice: 1.2690, decode.d3.loss_cls: 0.8213, decode.d3.loss_mask: 0.7753, decode.d3.loss_dice: 1.2416, decode.d4.loss_cls: 0.8195, decode.d4.loss_mask: 0.7797, decode.d4.loss_dice: 1.2457, decode.d5.loss_cls: 0.8091, decode.d5.loss_mask: 0.7784, decode.d5.loss_dice: 1.2378, decode.d6.loss_cls: 0.8061, decode.d6.loss_mask: 0.7708, decode.d6.loss_dice: 1.2219, decode.d7.loss_cls: 0.8068, decode.d7.loss_mask: 0.7701, decode.d7.loss_dice: 1.2213, decode.d8.loss_cls: 0.7998, decode.d8.loss_mask: 0.7677, decode.d8.loss_dice: 1.2210, loss: 30.4097 2022-09-12 22:20:25,030 - mmseg - INFO - Iter [34050/80000] lr: 8.247e-07, eta: 1 day, 0:43:27, time: 1.859, data_time: 0.017, memory: 42763, decode.loss_cls: 0.7984, decode.loss_mask: 0.7785, decode.loss_dice: 1.1994, decode.d0.loss_cls: 2.7258, decode.d0.loss_mask: 0.7836, decode.d0.loss_dice: 1.3972, decode.d1.loss_cls: 0.8701, decode.d1.loss_mask: 0.8087, decode.d1.loss_dice: 1.2860, decode.d2.loss_cls: 0.8303, decode.d2.loss_mask: 0.7899, decode.d2.loss_dice: 1.2351, decode.d3.loss_cls: 0.8195, decode.d3.loss_mask: 0.7825, decode.d3.loss_dice: 1.2241, decode.d4.loss_cls: 0.8188, decode.d4.loss_mask: 0.7845, decode.d4.loss_dice: 1.2127, decode.d5.loss_cls: 0.8117, decode.d5.loss_mask: 0.7790, decode.d5.loss_dice: 1.2066, decode.d6.loss_cls: 0.8086, decode.d6.loss_mask: 0.7792, decode.d6.loss_dice: 1.1990, decode.d7.loss_cls: 0.8018, decode.d7.loss_mask: 0.7768, decode.d7.loss_dice: 1.1963, decode.d8.loss_cls: 0.8056, decode.d8.loss_mask: 0.7782, decode.d8.loss_dice: 1.1988, loss: 30.2866 2022-09-12 22:21:58,154 - mmseg - INFO - Iter [34100/80000] lr: 8.238e-07, eta: 1 day, 0:41:46, time: 1.865, data_time: 0.018, memory: 42763, decode.loss_cls: 0.8717, decode.loss_mask: 0.7700, decode.loss_dice: 1.2048, decode.d0.loss_cls: 2.7714, decode.d0.loss_mask: 0.7768, decode.d0.loss_dice: 1.4123, decode.d1.loss_cls: 0.9385, decode.d1.loss_mask: 0.7984, decode.d1.loss_dice: 1.3087, decode.d2.loss_cls: 0.8914, decode.d2.loss_mask: 0.7793, decode.d2.loss_dice: 1.2492, decode.d3.loss_cls: 0.8772, decode.d3.loss_mask: 0.7741, decode.d3.loss_dice: 1.2273, decode.d4.loss_cls: 0.8735, decode.d4.loss_mask: 0.7731, decode.d4.loss_dice: 1.2290, decode.d5.loss_cls: 0.8728, decode.d5.loss_mask: 0.7677, decode.d5.loss_dice: 1.2232, decode.d6.loss_cls: 0.8784, decode.d6.loss_mask: 0.7647, decode.d6.loss_dice: 1.2080, decode.d7.loss_cls: 0.8786, decode.d7.loss_mask: 0.7628, decode.d7.loss_dice: 1.2089, decode.d8.loss_cls: 0.8663, decode.d8.loss_mask: 0.7649, decode.d8.loss_dice: 1.2130, loss: 30.9362 2022-09-12 22:23:31,972 - mmseg - INFO - Iter [34150/80000] lr: 8.229e-07, eta: 1 day, 0:40:05, time: 1.876, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8135, decode.loss_mask: 0.7806, decode.loss_dice: 1.1850, decode.d0.loss_cls: 2.6920, decode.d0.loss_mask: 0.7818, decode.d0.loss_dice: 1.3785, decode.d1.loss_cls: 0.8861, decode.d1.loss_mask: 0.8079, decode.d1.loss_dice: 1.2757, decode.d2.loss_cls: 0.8418, decode.d2.loss_mask: 0.7906, decode.d2.loss_dice: 1.2242, decode.d3.loss_cls: 0.8312, decode.d3.loss_mask: 0.7907, decode.d3.loss_dice: 1.2023, decode.d4.loss_cls: 0.8313, decode.d4.loss_mask: 0.7860, decode.d4.loss_dice: 1.1952, decode.d5.loss_cls: 0.8220, decode.d5.loss_mask: 0.7807, decode.d5.loss_dice: 1.1891, decode.d6.loss_cls: 0.8219, decode.d6.loss_mask: 0.7815, decode.d6.loss_dice: 1.1775, decode.d7.loss_cls: 0.8181, decode.d7.loss_mask: 0.7786, decode.d7.loss_dice: 1.1741, decode.d8.loss_cls: 0.8127, decode.d8.loss_mask: 0.7777, decode.d8.loss_dice: 1.1868, loss: 30.2150 2022-09-12 22:25:05,739 - mmseg - INFO - Iter [34200/80000] lr: 8.220e-07, eta: 1 day, 0:38:24, time: 1.875, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8199, decode.loss_mask: 0.7743, decode.loss_dice: 1.1893, decode.d0.loss_cls: 2.6474, decode.d0.loss_mask: 0.7853, decode.d0.loss_dice: 1.3783, decode.d1.loss_cls: 0.8827, decode.d1.loss_mask: 0.8121, decode.d1.loss_dice: 1.2901, decode.d2.loss_cls: 0.8376, decode.d2.loss_mask: 0.7925, decode.d2.loss_dice: 1.2327, decode.d3.loss_cls: 0.8203, decode.d3.loss_mask: 0.7868, decode.d3.loss_dice: 1.2113, decode.d4.loss_cls: 0.8197, decode.d4.loss_mask: 0.7829, decode.d4.loss_dice: 1.2038, decode.d5.loss_cls: 0.8142, decode.d5.loss_mask: 0.7763, decode.d5.loss_dice: 1.2025, decode.d6.loss_cls: 0.8144, decode.d6.loss_mask: 0.7732, decode.d6.loss_dice: 1.1889, decode.d7.loss_cls: 0.8090, decode.d7.loss_mask: 0.7755, decode.d7.loss_dice: 1.1903, decode.d8.loss_cls: 0.8110, decode.d8.loss_mask: 0.7766, decode.d8.loss_dice: 1.1986, loss: 30.1974 2022-09-12 22:26:40,430 - mmseg - INFO - Iter [34250/80000] lr: 8.211e-07, eta: 1 day, 0:36:44, time: 1.894, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8079, decode.loss_mask: 0.7693, decode.loss_dice: 1.1798, decode.d0.loss_cls: 2.6150, decode.d0.loss_mask: 0.7897, decode.d0.loss_dice: 1.3792, decode.d1.loss_cls: 0.8745, decode.d1.loss_mask: 0.7963, decode.d1.loss_dice: 1.2726, decode.d2.loss_cls: 0.8178, decode.d2.loss_mask: 0.7826, decode.d2.loss_dice: 1.2283, decode.d3.loss_cls: 0.8078, decode.d3.loss_mask: 0.7728, decode.d3.loss_dice: 1.2072, decode.d4.loss_cls: 0.8070, decode.d4.loss_mask: 0.7757, decode.d4.loss_dice: 1.1960, decode.d5.loss_cls: 0.7968, decode.d5.loss_mask: 0.7742, decode.d5.loss_dice: 1.1988, decode.d6.loss_cls: 0.8032, decode.d6.loss_mask: 0.7653, decode.d6.loss_dice: 1.1853, decode.d7.loss_cls: 0.7974, decode.d7.loss_mask: 0.7708, decode.d7.loss_dice: 1.1870, decode.d8.loss_cls: 0.7989, decode.d8.loss_mask: 0.7671, decode.d8.loss_dice: 1.1862, loss: 29.9107 2022-09-12 22:28:14,129 - mmseg - INFO - Iter [34300/80000] lr: 8.202e-07, eta: 1 day, 0:35:03, time: 1.873, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7836, decode.loss_mask: 0.7831, decode.loss_dice: 1.2145, decode.d0.loss_cls: 2.6044, decode.d0.loss_mask: 0.7775, decode.d0.loss_dice: 1.3792, decode.d1.loss_cls: 0.8648, decode.d1.loss_mask: 0.8053, decode.d1.loss_dice: 1.2833, decode.d2.loss_cls: 0.8126, decode.d2.loss_mask: 0.7883, decode.d2.loss_dice: 1.2454, decode.d3.loss_cls: 0.8049, decode.d3.loss_mask: 0.7855, decode.d3.loss_dice: 1.2154, decode.d4.loss_cls: 0.8035, decode.d4.loss_mask: 0.7860, decode.d4.loss_dice: 1.2129, decode.d5.loss_cls: 0.7933, decode.d5.loss_mask: 0.7792, decode.d5.loss_dice: 1.2081, decode.d6.loss_cls: 0.7878, decode.d6.loss_mask: 0.7787, decode.d6.loss_dice: 1.2004, decode.d7.loss_cls: 0.7845, decode.d7.loss_mask: 0.7813, decode.d7.loss_dice: 1.2085, decode.d8.loss_cls: 0.7844, decode.d8.loss_mask: 0.7798, decode.d8.loss_dice: 1.2113, loss: 30.0476 2022-09-12 22:29:48,877 - mmseg - INFO - Iter [34350/80000] lr: 8.193e-07, eta: 1 day, 0:33:23, time: 1.896, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7849, decode.loss_mask: 0.7894, decode.loss_dice: 1.1958, decode.d0.loss_cls: 2.6134, decode.d0.loss_mask: 0.7910, decode.d0.loss_dice: 1.3810, decode.d1.loss_cls: 0.8630, decode.d1.loss_mask: 0.8157, decode.d1.loss_dice: 1.2796, decode.d2.loss_cls: 0.8169, decode.d2.loss_mask: 0.8069, decode.d2.loss_dice: 1.2351, decode.d3.loss_cls: 0.8076, decode.d3.loss_mask: 0.7936, decode.d3.loss_dice: 1.2103, decode.d4.loss_cls: 0.8007, decode.d4.loss_mask: 0.7915, decode.d4.loss_dice: 1.2048, decode.d5.loss_cls: 0.7967, decode.d5.loss_mask: 0.7911, decode.d5.loss_dice: 1.1986, decode.d6.loss_cls: 0.7952, decode.d6.loss_mask: 0.7887, decode.d6.loss_dice: 1.1892, decode.d7.loss_cls: 0.7904, decode.d7.loss_mask: 0.7901, decode.d7.loss_dice: 1.1940, decode.d8.loss_cls: 0.7833, decode.d8.loss_mask: 0.7923, decode.d8.loss_dice: 1.1951, loss: 30.0859 2022-09-12 22:31:21,955 - mmseg - INFO - Iter [34400/80000] lr: 8.184e-07, eta: 1 day, 0:31:42, time: 1.862, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7925, decode.loss_mask: 0.7797, decode.loss_dice: 1.2067, decode.d0.loss_cls: 2.6514, decode.d0.loss_mask: 0.7836, decode.d0.loss_dice: 1.3951, decode.d1.loss_cls: 0.8547, decode.d1.loss_mask: 0.8123, decode.d1.loss_dice: 1.3110, decode.d2.loss_cls: 0.8092, decode.d2.loss_mask: 0.8002, decode.d2.loss_dice: 1.2492, decode.d3.loss_cls: 0.8018, decode.d3.loss_mask: 0.7949, decode.d3.loss_dice: 1.2301, decode.d4.loss_cls: 0.7961, decode.d4.loss_mask: 0.7934, decode.d4.loss_dice: 1.2325, decode.d5.loss_cls: 0.7938, decode.d5.loss_mask: 0.7899, decode.d5.loss_dice: 1.2194, decode.d6.loss_cls: 0.7912, decode.d6.loss_mask: 0.7817, decode.d6.loss_dice: 1.2075, decode.d7.loss_cls: 0.7856, decode.d7.loss_mask: 0.7824, decode.d7.loss_dice: 1.2117, decode.d8.loss_cls: 0.7898, decode.d8.loss_mask: 0.7788, decode.d8.loss_dice: 1.2093, loss: 30.2355 2022-09-12 22:32:55,062 - mmseg - INFO - Iter [34450/80000] lr: 8.175e-07, eta: 1 day, 0:30:00, time: 1.860, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8416, decode.loss_mask: 0.7834, decode.loss_dice: 1.1877, decode.d0.loss_cls: 2.6637, decode.d0.loss_mask: 0.7946, decode.d0.loss_dice: 1.3755, decode.d1.loss_cls: 0.9105, decode.d1.loss_mask: 0.8136, decode.d1.loss_dice: 1.2754, decode.d2.loss_cls: 0.8484, decode.d2.loss_mask: 0.8022, decode.d2.loss_dice: 1.2318, decode.d3.loss_cls: 0.8425, decode.d3.loss_mask: 0.7956, decode.d3.loss_dice: 1.2086, decode.d4.loss_cls: 0.8433, decode.d4.loss_mask: 0.7886, decode.d4.loss_dice: 1.2069, decode.d5.loss_cls: 0.8326, decode.d5.loss_mask: 0.7912, decode.d5.loss_dice: 1.2029, decode.d6.loss_cls: 0.8398, decode.d6.loss_mask: 0.7853, decode.d6.loss_dice: 1.1923, decode.d7.loss_cls: 0.8327, decode.d7.loss_mask: 0.7828, decode.d7.loss_dice: 1.1942, decode.d8.loss_cls: 0.8357, decode.d8.loss_mask: 0.7829, decode.d8.loss_dice: 1.1893, loss: 30.4756 2022-09-12 22:34:28,885 - mmseg - INFO - Iter [34500/80000] lr: 8.166e-07, eta: 1 day, 0:28:19, time: 1.879, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8271, decode.loss_mask: 0.7877, decode.loss_dice: 1.2040, decode.d0.loss_cls: 2.7120, decode.d0.loss_mask: 0.7905, decode.d0.loss_dice: 1.4012, decode.d1.loss_cls: 0.9175, decode.d1.loss_mask: 0.8184, decode.d1.loss_dice: 1.2928, decode.d2.loss_cls: 0.8631, decode.d2.loss_mask: 0.7988, decode.d2.loss_dice: 1.2483, decode.d3.loss_cls: 0.8461, decode.d3.loss_mask: 0.7917, decode.d3.loss_dice: 1.2262, decode.d4.loss_cls: 0.8417, decode.d4.loss_mask: 0.7886, decode.d4.loss_dice: 1.2232, decode.d5.loss_cls: 0.8338, decode.d5.loss_mask: 0.7919, decode.d5.loss_dice: 1.2196, decode.d6.loss_cls: 0.8342, decode.d6.loss_mask: 0.7842, decode.d6.loss_dice: 1.2070, decode.d7.loss_cls: 0.8329, decode.d7.loss_mask: 0.7884, decode.d7.loss_dice: 1.2042, decode.d8.loss_cls: 0.8275, decode.d8.loss_mask: 0.7890, decode.d8.loss_dice: 1.2115, loss: 30.7032 2022-09-12 22:36:02,176 - mmseg - INFO - Iter [34550/80000] lr: 8.157e-07, eta: 1 day, 0:26:38, time: 1.866, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7896, decode.loss_mask: 0.7899, decode.loss_dice: 1.1957, decode.d0.loss_cls: 2.6252, decode.d0.loss_mask: 0.7924, decode.d0.loss_dice: 1.4061, decode.d1.loss_cls: 0.8798, decode.d1.loss_mask: 0.8136, decode.d1.loss_dice: 1.3088, decode.d2.loss_cls: 0.8281, decode.d2.loss_mask: 0.7974, decode.d2.loss_dice: 1.2427, decode.d3.loss_cls: 0.8128, decode.d3.loss_mask: 0.7968, decode.d3.loss_dice: 1.2238, decode.d4.loss_cls: 0.8100, decode.d4.loss_mask: 0.7895, decode.d4.loss_dice: 1.2220, decode.d5.loss_cls: 0.8060, decode.d5.loss_mask: 0.7841, decode.d5.loss_dice: 1.2159, decode.d6.loss_cls: 0.7963, decode.d6.loss_mask: 0.7825, decode.d6.loss_dice: 1.2000, decode.d7.loss_cls: 0.7953, decode.d7.loss_mask: 0.7858, decode.d7.loss_dice: 1.2005, decode.d8.loss_cls: 0.7932, decode.d8.loss_mask: 0.7852, decode.d8.loss_dice: 1.2028, loss: 30.2718 2022-09-12 22:37:35,379 - mmseg - INFO - Iter [34600/80000] lr: 8.148e-07, eta: 1 day, 0:24:56, time: 1.864, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7771, decode.loss_mask: 0.7726, decode.loss_dice: 1.1836, decode.d0.loss_cls: 2.6275, decode.d0.loss_mask: 0.7697, decode.d0.loss_dice: 1.3584, decode.d1.loss_cls: 0.8515, decode.d1.loss_mask: 0.7973, decode.d1.loss_dice: 1.2684, decode.d2.loss_cls: 0.8080, decode.d2.loss_mask: 0.7801, decode.d2.loss_dice: 1.2229, decode.d3.loss_cls: 0.8008, decode.d3.loss_mask: 0.7735, decode.d3.loss_dice: 1.1993, decode.d4.loss_cls: 0.8007, decode.d4.loss_mask: 0.7707, decode.d4.loss_dice: 1.2018, decode.d5.loss_cls: 0.7980, decode.d5.loss_mask: 0.7657, decode.d5.loss_dice: 1.1939, decode.d6.loss_cls: 0.7861, decode.d6.loss_mask: 0.7681, decode.d6.loss_dice: 1.1824, decode.d7.loss_cls: 0.7839, decode.d7.loss_mask: 0.7648, decode.d7.loss_dice: 1.1845, decode.d8.loss_cls: 0.7767, decode.d8.loss_mask: 0.7696, decode.d8.loss_dice: 1.1840, loss: 29.7219 2022-09-12 22:39:10,924 - mmseg - INFO - Iter [34650/80000] lr: 8.139e-07, eta: 1 day, 0:23:18, time: 1.909, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8039, decode.loss_mask: 0.7869, decode.loss_dice: 1.1880, decode.d0.loss_cls: 2.5966, decode.d0.loss_mask: 0.7952, decode.d0.loss_dice: 1.3780, decode.d1.loss_cls: 0.8658, decode.d1.loss_mask: 0.8310, decode.d1.loss_dice: 1.2935, decode.d2.loss_cls: 0.8235, decode.d2.loss_mask: 0.8016, decode.d2.loss_dice: 1.2283, decode.d3.loss_cls: 0.8100, decode.d3.loss_mask: 0.7897, decode.d3.loss_dice: 1.2091, decode.d4.loss_cls: 0.8146, decode.d4.loss_mask: 0.7920, decode.d4.loss_dice: 1.2036, decode.d5.loss_cls: 0.8046, decode.d5.loss_mask: 0.7942, decode.d5.loss_dice: 1.1983, decode.d6.loss_cls: 0.8087, decode.d6.loss_mask: 0.7870, decode.d6.loss_dice: 1.1865, decode.d7.loss_cls: 0.7963, decode.d7.loss_mask: 0.7851, decode.d7.loss_dice: 1.1864, decode.d8.loss_cls: 0.8034, decode.d8.loss_mask: 0.7817, decode.d8.loss_dice: 1.1862, loss: 30.1295 2022-09-12 22:40:44,515 - mmseg - INFO - Iter [34700/80000] lr: 8.130e-07, eta: 1 day, 0:21:37, time: 1.873, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8453, decode.loss_mask: 0.7900, decode.loss_dice: 1.2125, decode.d0.loss_cls: 2.6977, decode.d0.loss_mask: 0.7923, decode.d0.loss_dice: 1.4062, decode.d1.loss_cls: 0.9145, decode.d1.loss_mask: 0.8187, decode.d1.loss_dice: 1.3066, decode.d2.loss_cls: 0.8717, decode.d2.loss_mask: 0.7934, decode.d2.loss_dice: 1.2571, decode.d3.loss_cls: 0.8539, decode.d3.loss_mask: 0.7960, decode.d3.loss_dice: 1.2331, decode.d4.loss_cls: 0.8523, decode.d4.loss_mask: 0.7902, decode.d4.loss_dice: 1.2260, decode.d5.loss_cls: 0.8599, decode.d5.loss_mask: 0.7841, decode.d5.loss_dice: 1.2157, decode.d6.loss_cls: 0.8493, decode.d6.loss_mask: 0.7828, decode.d6.loss_dice: 1.2080, decode.d7.loss_cls: 0.8483, decode.d7.loss_mask: 0.7831, decode.d7.loss_dice: 1.2148, decode.d8.loss_cls: 0.8455, decode.d8.loss_mask: 0.7840, decode.d8.loss_dice: 1.2094, loss: 30.8426 2022-09-12 22:42:19,209 - mmseg - INFO - Iter [34750/80000] lr: 8.121e-07, eta: 1 day, 0:19:57, time: 1.894, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8517, decode.loss_mask: 0.7583, decode.loss_dice: 1.1950, decode.d0.loss_cls: 2.7310, decode.d0.loss_mask: 0.7653, decode.d0.loss_dice: 1.3941, decode.d1.loss_cls: 0.9260, decode.d1.loss_mask: 0.7935, decode.d1.loss_dice: 1.2837, decode.d2.loss_cls: 0.8747, decode.d2.loss_mask: 0.7755, decode.d2.loss_dice: 1.2268, decode.d3.loss_cls: 0.8591, decode.d3.loss_mask: 0.7694, decode.d3.loss_dice: 1.2052, decode.d4.loss_cls: 0.8544, decode.d4.loss_mask: 0.7722, decode.d4.loss_dice: 1.2040, decode.d5.loss_cls: 0.8477, decode.d5.loss_mask: 0.7656, decode.d5.loss_dice: 1.2033, decode.d6.loss_cls: 0.8419, decode.d6.loss_mask: 0.7611, decode.d6.loss_dice: 1.1935, decode.d7.loss_cls: 0.8467, decode.d7.loss_mask: 0.7601, decode.d7.loss_dice: 1.1875, decode.d8.loss_cls: 0.8463, decode.d8.loss_mask: 0.7586, decode.d8.loss_dice: 1.1962, loss: 30.4482 2022-09-12 22:43:52,543 - mmseg - INFO - Iter [34800/80000] lr: 8.112e-07, eta: 1 day, 0:18:16, time: 1.867, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8126, decode.loss_mask: 0.7887, decode.loss_dice: 1.1994, decode.d0.loss_cls: 2.6712, decode.d0.loss_mask: 0.7850, decode.d0.loss_dice: 1.3966, decode.d1.loss_cls: 0.8993, decode.d1.loss_mask: 0.8158, decode.d1.loss_dice: 1.2971, decode.d2.loss_cls: 0.8348, decode.d2.loss_mask: 0.8049, decode.d2.loss_dice: 1.2449, decode.d3.loss_cls: 0.8284, decode.d3.loss_mask: 0.7931, decode.d3.loss_dice: 1.2217, decode.d4.loss_cls: 0.8157, decode.d4.loss_mask: 0.7967, decode.d4.loss_dice: 1.2169, decode.d5.loss_cls: 0.8132, decode.d5.loss_mask: 0.7933, decode.d5.loss_dice: 1.2069, decode.d6.loss_cls: 0.8095, decode.d6.loss_mask: 0.7931, decode.d6.loss_dice: 1.2022, decode.d7.loss_cls: 0.8110, decode.d7.loss_mask: 0.7896, decode.d7.loss_dice: 1.1959, decode.d8.loss_cls: 0.8117, decode.d8.loss_mask: 0.7880, decode.d8.loss_dice: 1.2010, loss: 30.4383 2022-09-12 22:45:26,651 - mmseg - INFO - Iter [34850/80000] lr: 8.103e-07, eta: 1 day, 0:16:36, time: 1.882, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8253, decode.loss_mask: 0.7953, decode.loss_dice: 1.2169, decode.d0.loss_cls: 2.6560, decode.d0.loss_mask: 0.8022, decode.d0.loss_dice: 1.4088, decode.d1.loss_cls: 0.8866, decode.d1.loss_mask: 0.8297, decode.d1.loss_dice: 1.3110, decode.d2.loss_cls: 0.8378, decode.d2.loss_mask: 0.8142, decode.d2.loss_dice: 1.2522, decode.d3.loss_cls: 0.8298, decode.d3.loss_mask: 0.8059, decode.d3.loss_dice: 1.2354, decode.d4.loss_cls: 0.8315, decode.d4.loss_mask: 0.8051, decode.d4.loss_dice: 1.2284, decode.d5.loss_cls: 0.8317, decode.d5.loss_mask: 0.7957, decode.d5.loss_dice: 1.2253, decode.d6.loss_cls: 0.8201, decode.d6.loss_mask: 0.7975, decode.d6.loss_dice: 1.2144, decode.d7.loss_cls: 0.8216, decode.d7.loss_mask: 0.7941, decode.d7.loss_dice: 1.2168, decode.d8.loss_cls: 0.8210, decode.d8.loss_mask: 0.7972, decode.d8.loss_dice: 1.2184, loss: 30.7260 2022-09-12 22:47:01,343 - mmseg - INFO - Iter [34900/80000] lr: 8.094e-07, eta: 1 day, 0:14:56, time: 1.894, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8518, decode.loss_mask: 0.7817, decode.loss_dice: 1.2442, decode.d0.loss_cls: 2.7564, decode.d0.loss_mask: 0.7774, decode.d0.loss_dice: 1.4347, decode.d1.loss_cls: 0.9497, decode.d1.loss_mask: 0.8062, decode.d1.loss_dice: 1.3435, decode.d2.loss_cls: 0.8927, decode.d2.loss_mask: 0.7931, decode.d2.loss_dice: 1.2779, decode.d3.loss_cls: 0.8754, decode.d3.loss_mask: 0.7836, decode.d3.loss_dice: 1.2624, decode.d4.loss_cls: 0.8673, decode.d4.loss_mask: 0.7839, decode.d4.loss_dice: 1.2665, decode.d5.loss_cls: 0.8557, decode.d5.loss_mask: 0.7814, decode.d5.loss_dice: 1.2542, decode.d6.loss_cls: 0.8501, decode.d6.loss_mask: 0.7784, decode.d6.loss_dice: 1.2488, decode.d7.loss_cls: 0.8527, decode.d7.loss_mask: 0.7778, decode.d7.loss_dice: 1.2381, decode.d8.loss_cls: 0.8590, decode.d8.loss_mask: 0.7790, decode.d8.loss_dice: 1.2417, loss: 31.2653 2022-09-12 22:48:33,894 - mmseg - INFO - Iter [34950/80000] lr: 8.086e-07, eta: 1 day, 0:13:14, time: 1.851, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8096, decode.loss_mask: 0.7732, decode.loss_dice: 1.1741, decode.d0.loss_cls: 2.6558, decode.d0.loss_mask: 0.7800, decode.d0.loss_dice: 1.3642, decode.d1.loss_cls: 0.8865, decode.d1.loss_mask: 0.8017, decode.d1.loss_dice: 1.2709, decode.d2.loss_cls: 0.8283, decode.d2.loss_mask: 0.7898, decode.d2.loss_dice: 1.2161, decode.d3.loss_cls: 0.8231, decode.d3.loss_mask: 0.7832, decode.d3.loss_dice: 1.1978, decode.d4.loss_cls: 0.8257, decode.d4.loss_mask: 0.7761, decode.d4.loss_dice: 1.1864, decode.d5.loss_cls: 0.8202, decode.d5.loss_mask: 0.7766, decode.d5.loss_dice: 1.1818, decode.d6.loss_cls: 0.8121, decode.d6.loss_mask: 0.7735, decode.d6.loss_dice: 1.1782, decode.d7.loss_cls: 0.8170, decode.d7.loss_mask: 0.7713, decode.d7.loss_dice: 1.1783, decode.d8.loss_cls: 0.8193, decode.d8.loss_mask: 0.7721, decode.d8.loss_dice: 1.1789, loss: 30.0217 2022-09-12 22:50:06,481 - mmseg - INFO - Saving checkpoint at 35000 iterations 2022-09-12 22:50:34,237 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 22:50:34,239 - mmseg - INFO - Iter [35000/80000] lr: 8.077e-07, eta: 1 day, 0:12:07, time: 2.405, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7884, decode.loss_mask: 0.7797, decode.loss_dice: 1.2027, decode.d0.loss_cls: 2.6260, decode.d0.loss_mask: 0.7756, decode.d0.loss_dice: 1.3858, decode.d1.loss_cls: 0.8657, decode.d1.loss_mask: 0.8087, decode.d1.loss_dice: 1.3078, decode.d2.loss_cls: 0.8159, decode.d2.loss_mask: 0.7948, decode.d2.loss_dice: 1.2526, decode.d3.loss_cls: 0.8062, decode.d3.loss_mask: 0.7840, decode.d3.loss_dice: 1.2305, decode.d4.loss_cls: 0.7952, decode.d4.loss_mask: 0.7820, decode.d4.loss_dice: 1.2245, decode.d5.loss_cls: 0.7903, decode.d5.loss_mask: 0.7809, decode.d5.loss_dice: 1.2151, decode.d6.loss_cls: 0.7914, decode.d6.loss_mask: 0.7767, decode.d6.loss_dice: 1.2030, decode.d7.loss_cls: 0.7889, decode.d7.loss_mask: 0.7772, decode.d7.loss_dice: 1.2118, decode.d8.loss_cls: 0.7868, decode.d8.loss_mask: 0.7759, decode.d8.loss_dice: 1.2039, loss: 30.1281 2022-09-12 22:52:07,350 - mmseg - INFO - Iter [35050/80000] lr: 8.068e-07, eta: 1 day, 0:10:26, time: 1.864, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8019, decode.loss_mask: 0.7861, decode.loss_dice: 1.2049, decode.d0.loss_cls: 2.6427, decode.d0.loss_mask: 0.7900, decode.d0.loss_dice: 1.3834, decode.d1.loss_cls: 0.8662, decode.d1.loss_mask: 0.8127, decode.d1.loss_dice: 1.2893, decode.d2.loss_cls: 0.8238, decode.d2.loss_mask: 0.8024, decode.d2.loss_dice: 1.2432, decode.d3.loss_cls: 0.8060, decode.d3.loss_mask: 0.7941, decode.d3.loss_dice: 1.2233, decode.d4.loss_cls: 0.8003, decode.d4.loss_mask: 0.7916, decode.d4.loss_dice: 1.2160, decode.d5.loss_cls: 0.8014, decode.d5.loss_mask: 0.7941, decode.d5.loss_dice: 1.2120, decode.d6.loss_cls: 0.7983, decode.d6.loss_mask: 0.7903, decode.d6.loss_dice: 1.2002, decode.d7.loss_cls: 0.7981, decode.d7.loss_mask: 0.7917, decode.d7.loss_dice: 1.2117, decode.d8.loss_cls: 0.7968, decode.d8.loss_mask: 0.7893, decode.d8.loss_dice: 1.2080, loss: 30.2699 2022-09-12 22:53:42,101 - mmseg - INFO - Iter [35100/80000] lr: 8.059e-07, eta: 1 day, 0:08:46, time: 1.895, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7871, decode.loss_mask: 0.7683, decode.loss_dice: 1.2019, decode.d0.loss_cls: 2.6540, decode.d0.loss_mask: 0.7689, decode.d0.loss_dice: 1.3893, decode.d1.loss_cls: 0.8651, decode.d1.loss_mask: 0.7925, decode.d1.loss_dice: 1.2969, decode.d2.loss_cls: 0.8093, decode.d2.loss_mask: 0.7819, decode.d2.loss_dice: 1.2490, decode.d3.loss_cls: 0.8004, decode.d3.loss_mask: 0.7721, decode.d3.loss_dice: 1.2251, decode.d4.loss_cls: 0.7976, decode.d4.loss_mask: 0.7696, decode.d4.loss_dice: 1.2252, decode.d5.loss_cls: 0.7933, decode.d5.loss_mask: 0.7736, decode.d5.loss_dice: 1.2138, decode.d6.loss_cls: 0.7869, decode.d6.loss_mask: 0.7669, decode.d6.loss_dice: 1.1994, decode.d7.loss_cls: 0.7888, decode.d7.loss_mask: 0.7714, decode.d7.loss_dice: 1.2052, decode.d8.loss_cls: 0.7852, decode.d8.loss_mask: 0.7700, decode.d8.loss_dice: 1.2126, loss: 30.0213 2022-09-12 22:55:15,580 - mmseg - INFO - Iter [35150/80000] lr: 8.050e-07, eta: 1 day, 0:07:05, time: 1.869, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8385, decode.loss_mask: 0.7746, decode.loss_dice: 1.2122, decode.d0.loss_cls: 2.6884, decode.d0.loss_mask: 0.7838, decode.d0.loss_dice: 1.4014, decode.d1.loss_cls: 0.9156, decode.d1.loss_mask: 0.8048, decode.d1.loss_dice: 1.2891, decode.d2.loss_cls: 0.8694, decode.d2.loss_mask: 0.7898, decode.d2.loss_dice: 1.2467, decode.d3.loss_cls: 0.8522, decode.d3.loss_mask: 0.7792, decode.d3.loss_dice: 1.2268, decode.d4.loss_cls: 0.8453, decode.d4.loss_mask: 0.7804, decode.d4.loss_dice: 1.2297, decode.d5.loss_cls: 0.8455, decode.d5.loss_mask: 0.7730, decode.d5.loss_dice: 1.2180, decode.d6.loss_cls: 0.8501, decode.d6.loss_mask: 0.7689, decode.d6.loss_dice: 1.2052, decode.d7.loss_cls: 0.8410, decode.d7.loss_mask: 0.7675, decode.d7.loss_dice: 1.2138, decode.d8.loss_cls: 0.8371, decode.d8.loss_mask: 0.7690, decode.d8.loss_dice: 1.2086, loss: 30.6253 2022-09-12 22:56:49,659 - mmseg - INFO - Iter [35200/80000] lr: 8.041e-07, eta: 1 day, 0:05:25, time: 1.882, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8374, decode.loss_mask: 0.7803, decode.loss_dice: 1.1968, decode.d0.loss_cls: 2.7140, decode.d0.loss_mask: 0.7928, decode.d0.loss_dice: 1.4001, decode.d1.loss_cls: 0.9146, decode.d1.loss_mask: 0.8066, decode.d1.loss_dice: 1.2893, decode.d2.loss_cls: 0.8604, decode.d2.loss_mask: 0.7971, decode.d2.loss_dice: 1.2401, decode.d3.loss_cls: 0.8504, decode.d3.loss_mask: 0.7853, decode.d3.loss_dice: 1.2234, decode.d4.loss_cls: 0.8469, decode.d4.loss_mask: 0.7866, decode.d4.loss_dice: 1.2073, decode.d5.loss_cls: 0.8368, decode.d5.loss_mask: 0.7820, decode.d5.loss_dice: 1.2048, decode.d6.loss_cls: 0.8351, decode.d6.loss_mask: 0.7801, decode.d6.loss_dice: 1.2027, decode.d7.loss_cls: 0.8389, decode.d7.loss_mask: 0.7764, decode.d7.loss_dice: 1.1963, decode.d8.loss_cls: 0.8320, decode.d8.loss_mask: 0.7776, decode.d8.loss_dice: 1.2015, loss: 30.5934 2022-09-12 22:58:22,444 - mmseg - INFO - Iter [35250/80000] lr: 8.032e-07, eta: 1 day, 0:03:43, time: 1.856, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8227, decode.loss_mask: 0.7927, decode.loss_dice: 1.2029, decode.d0.loss_cls: 2.6837, decode.d0.loss_mask: 0.7992, decode.d0.loss_dice: 1.3911, decode.d1.loss_cls: 0.8948, decode.d1.loss_mask: 0.8139, decode.d1.loss_dice: 1.2975, decode.d2.loss_cls: 0.8441, decode.d2.loss_mask: 0.8033, decode.d2.loss_dice: 1.2399, decode.d3.loss_cls: 0.8369, decode.d3.loss_mask: 0.7973, decode.d3.loss_dice: 1.2199, decode.d4.loss_cls: 0.8282, decode.d4.loss_mask: 0.7973, decode.d4.loss_dice: 1.2067, decode.d5.loss_cls: 0.8209, decode.d5.loss_mask: 0.7969, decode.d5.loss_dice: 1.2046, decode.d6.loss_cls: 0.8235, decode.d6.loss_mask: 0.7996, decode.d6.loss_dice: 1.2049, decode.d7.loss_cls: 0.8239, decode.d7.loss_mask: 0.7970, decode.d7.loss_dice: 1.2044, decode.d8.loss_cls: 0.8255, decode.d8.loss_mask: 0.7925, decode.d8.loss_dice: 1.2048, loss: 30.5703 2022-09-12 22:59:56,090 - mmseg - INFO - Iter [35300/80000] lr: 8.023e-07, eta: 1 day, 0:02:03, time: 1.873, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8183, decode.loss_mask: 0.7700, decode.loss_dice: 1.2332, decode.d0.loss_cls: 2.6634, decode.d0.loss_mask: 0.7866, decode.d0.loss_dice: 1.4266, decode.d1.loss_cls: 0.8973, decode.d1.loss_mask: 0.7979, decode.d1.loss_dice: 1.3292, decode.d2.loss_cls: 0.8522, decode.d2.loss_mask: 0.7829, decode.d2.loss_dice: 1.2754, decode.d3.loss_cls: 0.8389, decode.d3.loss_mask: 0.7718, decode.d3.loss_dice: 1.2494, decode.d4.loss_cls: 0.8353, decode.d4.loss_mask: 0.7755, decode.d4.loss_dice: 1.2450, decode.d5.loss_cls: 0.8305, decode.d5.loss_mask: 0.7752, decode.d5.loss_dice: 1.2423, decode.d6.loss_cls: 0.8306, decode.d6.loss_mask: 0.7675, decode.d6.loss_dice: 1.2223, decode.d7.loss_cls: 0.8242, decode.d7.loss_mask: 0.7708, decode.d7.loss_dice: 1.2306, decode.d8.loss_cls: 0.8189, decode.d8.loss_mask: 0.7689, decode.d8.loss_dice: 1.2321, loss: 30.6629 2022-09-12 23:01:29,019 - mmseg - INFO - Iter [35350/80000] lr: 8.014e-07, eta: 1 day, 0:00:21, time: 1.858, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8176, decode.loss_mask: 0.7967, decode.loss_dice: 1.2182, decode.d0.loss_cls: 2.6738, decode.d0.loss_mask: 0.7959, decode.d0.loss_dice: 1.4056, decode.d1.loss_cls: 0.8933, decode.d1.loss_mask: 0.8169, decode.d1.loss_dice: 1.3016, decode.d2.loss_cls: 0.8449, decode.d2.loss_mask: 0.8030, decode.d2.loss_dice: 1.2468, decode.d3.loss_cls: 0.8343, decode.d3.loss_mask: 0.7952, decode.d3.loss_dice: 1.2347, decode.d4.loss_cls: 0.8292, decode.d4.loss_mask: 0.8001, decode.d4.loss_dice: 1.2392, decode.d5.loss_cls: 0.8292, decode.d5.loss_mask: 0.7946, decode.d5.loss_dice: 1.2272, decode.d6.loss_cls: 0.8142, decode.d6.loss_mask: 0.7965, decode.d6.loss_dice: 1.2170, decode.d7.loss_cls: 0.8157, decode.d7.loss_mask: 0.7923, decode.d7.loss_dice: 1.2193, decode.d8.loss_cls: 0.8106, decode.d8.loss_mask: 0.7914, decode.d8.loss_dice: 1.2190, loss: 30.6738 2022-09-12 23:03:01,803 - mmseg - INFO - Iter [35400/80000] lr: 8.005e-07, eta: 23:58:39, time: 1.855, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8448, decode.loss_mask: 0.7664, decode.loss_dice: 1.1990, decode.d0.loss_cls: 2.7354, decode.d0.loss_mask: 0.7685, decode.d0.loss_dice: 1.4079, decode.d1.loss_cls: 0.9248, decode.d1.loss_mask: 0.7991, decode.d1.loss_dice: 1.2947, decode.d2.loss_cls: 0.8675, decode.d2.loss_mask: 0.7796, decode.d2.loss_dice: 1.2504, decode.d3.loss_cls: 0.8503, decode.d3.loss_mask: 0.7721, decode.d3.loss_dice: 1.2179, decode.d4.loss_cls: 0.8513, decode.d4.loss_mask: 0.7709, decode.d4.loss_dice: 1.2139, decode.d5.loss_cls: 0.8445, decode.d5.loss_mask: 0.7687, decode.d5.loss_dice: 1.2044, decode.d6.loss_cls: 0.8389, decode.d6.loss_mask: 0.7640, decode.d6.loss_dice: 1.1995, decode.d7.loss_cls: 0.8370, decode.d7.loss_mask: 0.7696, decode.d7.loss_dice: 1.1944, decode.d8.loss_cls: 0.8400, decode.d8.loss_mask: 0.7694, decode.d8.loss_dice: 1.2044, loss: 30.5491 2022-09-12 23:04:34,988 - mmseg - INFO - Iter [35450/80000] lr: 7.996e-07, eta: 23:56:58, time: 1.865, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8013, decode.loss_mask: 0.7815, decode.loss_dice: 1.1997, decode.d0.loss_cls: 2.6050, decode.d0.loss_mask: 0.7828, decode.d0.loss_dice: 1.3868, decode.d1.loss_cls: 0.8756, decode.d1.loss_mask: 0.8024, decode.d1.loss_dice: 1.2902, decode.d2.loss_cls: 0.8223, decode.d2.loss_mask: 0.7895, decode.d2.loss_dice: 1.2363, decode.d3.loss_cls: 0.8078, decode.d3.loss_mask: 0.7914, decode.d3.loss_dice: 1.2139, decode.d4.loss_cls: 0.8072, decode.d4.loss_mask: 0.7851, decode.d4.loss_dice: 1.2150, decode.d5.loss_cls: 0.8006, decode.d5.loss_mask: 0.7882, decode.d5.loss_dice: 1.2087, decode.d6.loss_cls: 0.8038, decode.d6.loss_mask: 0.7788, decode.d6.loss_dice: 1.1972, decode.d7.loss_cls: 0.7955, decode.d7.loss_mask: 0.7776, decode.d7.loss_dice: 1.1999, decode.d8.loss_cls: 0.7971, decode.d8.loss_mask: 0.7803, decode.d8.loss_dice: 1.2029, loss: 30.1245 2022-09-12 23:06:07,879 - mmseg - INFO - Iter [35500/80000] lr: 7.987e-07, eta: 23:55:16, time: 1.858, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8206, decode.loss_mask: 0.7787, decode.loss_dice: 1.2351, decode.d0.loss_cls: 2.6971, decode.d0.loss_mask: 0.7913, decode.d0.loss_dice: 1.4367, decode.d1.loss_cls: 0.9025, decode.d1.loss_mask: 0.8087, decode.d1.loss_dice: 1.3280, decode.d2.loss_cls: 0.8387, decode.d2.loss_mask: 0.7976, decode.d2.loss_dice: 1.2770, decode.d3.loss_cls: 0.8354, decode.d3.loss_mask: 0.7877, decode.d3.loss_dice: 1.2519, decode.d4.loss_cls: 0.8305, decode.d4.loss_mask: 0.7868, decode.d4.loss_dice: 1.2497, decode.d5.loss_cls: 0.8228, decode.d5.loss_mask: 0.7797, decode.d5.loss_dice: 1.2474, decode.d6.loss_cls: 0.8248, decode.d6.loss_mask: 0.7780, decode.d6.loss_dice: 1.2322, decode.d7.loss_cls: 0.8201, decode.d7.loss_mask: 0.7787, decode.d7.loss_dice: 1.2332, decode.d8.loss_cls: 0.8226, decode.d8.loss_mask: 0.7801, decode.d8.loss_dice: 1.2294, loss: 30.8030 2022-09-12 23:07:40,591 - mmseg - INFO - Iter [35550/80000] lr: 7.978e-07, eta: 23:53:34, time: 1.854, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8021, decode.loss_mask: 0.7974, decode.loss_dice: 1.1942, decode.d0.loss_cls: 2.6666, decode.d0.loss_mask: 0.7947, decode.d0.loss_dice: 1.3990, decode.d1.loss_cls: 0.8847, decode.d1.loss_mask: 0.8194, decode.d1.loss_dice: 1.2806, decode.d2.loss_cls: 0.8311, decode.d2.loss_mask: 0.8028, decode.d2.loss_dice: 1.2284, decode.d3.loss_cls: 0.8243, decode.d3.loss_mask: 0.7927, decode.d3.loss_dice: 1.2066, decode.d4.loss_cls: 0.8149, decode.d4.loss_mask: 0.7949, decode.d4.loss_dice: 1.2003, decode.d5.loss_cls: 0.8063, decode.d5.loss_mask: 0.7901, decode.d5.loss_dice: 1.1949, decode.d6.loss_cls: 0.8080, decode.d6.loss_mask: 0.7894, decode.d6.loss_dice: 1.1894, decode.d7.loss_cls: 0.8018, decode.d7.loss_mask: 0.7949, decode.d7.loss_dice: 1.1860, decode.d8.loss_cls: 0.8025, decode.d8.loss_mask: 0.7961, decode.d8.loss_dice: 1.1898, loss: 30.2837 2022-09-12 23:09:13,591 - mmseg - INFO - Iter [35600/80000] lr: 7.969e-07, eta: 23:51:53, time: 1.860, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7957, decode.loss_mask: 0.7805, decode.loss_dice: 1.2150, decode.d0.loss_cls: 2.6417, decode.d0.loss_mask: 0.7840, decode.d0.loss_dice: 1.4019, decode.d1.loss_cls: 0.8825, decode.d1.loss_mask: 0.8106, decode.d1.loss_dice: 1.3012, decode.d2.loss_cls: 0.8254, decode.d2.loss_mask: 0.7927, decode.d2.loss_dice: 1.2510, decode.d3.loss_cls: 0.8151, decode.d3.loss_mask: 0.7909, decode.d3.loss_dice: 1.2289, decode.d4.loss_cls: 0.8103, decode.d4.loss_mask: 0.7893, decode.d4.loss_dice: 1.2246, decode.d5.loss_cls: 0.8030, decode.d5.loss_mask: 0.7883, decode.d5.loss_dice: 1.2192, decode.d6.loss_cls: 0.8075, decode.d6.loss_mask: 0.7786, decode.d6.loss_dice: 1.2087, decode.d7.loss_cls: 0.7979, decode.d7.loss_mask: 0.7776, decode.d7.loss_dice: 1.2198, decode.d8.loss_cls: 0.7997, decode.d8.loss_mask: 0.7772, decode.d8.loss_dice: 1.2137, loss: 30.3326 2022-09-12 23:10:46,605 - mmseg - INFO - Iter [35650/80000] lr: 7.960e-07, eta: 23:50:12, time: 1.860, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8090, decode.loss_mask: 0.7796, decode.loss_dice: 1.2030, decode.d0.loss_cls: 2.6552, decode.d0.loss_mask: 0.7899, decode.d0.loss_dice: 1.3828, decode.d1.loss_cls: 0.8871, decode.d1.loss_mask: 0.8135, decode.d1.loss_dice: 1.2997, decode.d2.loss_cls: 0.8407, decode.d2.loss_mask: 0.7915, decode.d2.loss_dice: 1.2427, decode.d3.loss_cls: 0.8345, decode.d3.loss_mask: 0.7888, decode.d3.loss_dice: 1.2258, decode.d4.loss_cls: 0.8249, decode.d4.loss_mask: 0.7862, decode.d4.loss_dice: 1.2266, decode.d5.loss_cls: 0.8277, decode.d5.loss_mask: 0.7833, decode.d5.loss_dice: 1.2058, decode.d6.loss_cls: 0.8191, decode.d6.loss_mask: 0.7825, decode.d6.loss_dice: 1.2004, decode.d7.loss_cls: 0.8175, decode.d7.loss_mask: 0.7819, decode.d7.loss_dice: 1.2084, decode.d8.loss_cls: 0.8187, decode.d8.loss_mask: 0.7749, decode.d8.loss_dice: 1.2021, loss: 30.4040 2022-09-12 23:12:19,387 - mmseg - INFO - Iter [35700/80000] lr: 7.951e-07, eta: 23:48:30, time: 1.856, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7856, decode.loss_mask: 0.7865, decode.loss_dice: 1.1867, decode.d0.loss_cls: 2.5914, decode.d0.loss_mask: 0.7852, decode.d0.loss_dice: 1.3699, decode.d1.loss_cls: 0.8629, decode.d1.loss_mask: 0.8097, decode.d1.loss_dice: 1.2750, decode.d2.loss_cls: 0.8081, decode.d2.loss_mask: 0.7999, decode.d2.loss_dice: 1.2291, decode.d3.loss_cls: 0.8054, decode.d3.loss_mask: 0.7902, decode.d3.loss_dice: 1.2088, decode.d4.loss_cls: 0.7971, decode.d4.loss_mask: 0.7925, decode.d4.loss_dice: 1.2089, decode.d5.loss_cls: 0.7931, decode.d5.loss_mask: 0.7882, decode.d5.loss_dice: 1.1939, decode.d6.loss_cls: 0.7875, decode.d6.loss_mask: 0.7831, decode.d6.loss_dice: 1.1926, decode.d7.loss_cls: 0.7846, decode.d7.loss_mask: 0.7880, decode.d7.loss_dice: 1.1893, decode.d8.loss_cls: 0.7864, decode.d8.loss_mask: 0.7855, decode.d8.loss_dice: 1.1886, loss: 29.9536 2022-09-12 23:13:53,257 - mmseg - INFO - Iter [35750/80000] lr: 7.942e-07, eta: 23:46:50, time: 1.877, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8355, decode.loss_mask: 0.7894, decode.loss_dice: 1.2446, decode.d0.loss_cls: 2.6825, decode.d0.loss_mask: 0.7979, decode.d0.loss_dice: 1.4217, decode.d1.loss_cls: 0.8987, decode.d1.loss_mask: 0.8205, decode.d1.loss_dice: 1.3310, decode.d2.loss_cls: 0.8561, decode.d2.loss_mask: 0.8022, decode.d2.loss_dice: 1.2875, decode.d3.loss_cls: 0.8524, decode.d3.loss_mask: 0.7945, decode.d3.loss_dice: 1.2670, decode.d4.loss_cls: 0.8496, decode.d4.loss_mask: 0.7898, decode.d4.loss_dice: 1.2617, decode.d5.loss_cls: 0.8397, decode.d5.loss_mask: 0.7930, decode.d5.loss_dice: 1.2572, decode.d6.loss_cls: 0.8381, decode.d6.loss_mask: 0.7912, decode.d6.loss_dice: 1.2485, decode.d7.loss_cls: 0.8283, decode.d7.loss_mask: 0.7838, decode.d7.loss_dice: 1.2499, decode.d8.loss_cls: 0.8336, decode.d8.loss_mask: 0.7854, decode.d8.loss_dice: 1.2459, loss: 31.0770 2022-09-12 23:15:26,240 - mmseg - INFO - Iter [35800/80000] lr: 7.933e-07, eta: 23:45:08, time: 1.860, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8077, decode.loss_mask: 0.7837, decode.loss_dice: 1.2050, decode.d0.loss_cls: 2.6266, decode.d0.loss_mask: 0.7884, decode.d0.loss_dice: 1.3909, decode.d1.loss_cls: 0.8730, decode.d1.loss_mask: 0.8189, decode.d1.loss_dice: 1.2936, decode.d2.loss_cls: 0.8175, decode.d2.loss_mask: 0.8010, decode.d2.loss_dice: 1.2408, decode.d3.loss_cls: 0.8168, decode.d3.loss_mask: 0.7919, decode.d3.loss_dice: 1.2155, decode.d4.loss_cls: 0.8104, decode.d4.loss_mask: 0.7934, decode.d4.loss_dice: 1.2144, decode.d5.loss_cls: 0.8098, decode.d5.loss_mask: 0.7880, decode.d5.loss_dice: 1.2093, decode.d6.loss_cls: 0.8083, decode.d6.loss_mask: 0.7820, decode.d6.loss_dice: 1.1960, decode.d7.loss_cls: 0.8070, decode.d7.loss_mask: 0.7862, decode.d7.loss_dice: 1.2012, decode.d8.loss_cls: 0.8001, decode.d8.loss_mask: 0.7824, decode.d8.loss_dice: 1.2054, loss: 30.2650 2022-09-12 23:16:58,835 - mmseg - INFO - Iter [35850/80000] lr: 7.924e-07, eta: 23:43:26, time: 1.852, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8158, decode.loss_mask: 0.7880, decode.loss_dice: 1.2163, decode.d0.loss_cls: 2.7118, decode.d0.loss_mask: 0.7931, decode.d0.loss_dice: 1.4130, decode.d1.loss_cls: 0.9013, decode.d1.loss_mask: 0.8164, decode.d1.loss_dice: 1.3076, decode.d2.loss_cls: 0.8487, decode.d2.loss_mask: 0.7965, decode.d2.loss_dice: 1.2586, decode.d3.loss_cls: 0.8312, decode.d3.loss_mask: 0.7902, decode.d3.loss_dice: 1.2440, decode.d4.loss_cls: 0.8237, decode.d4.loss_mask: 0.7917, decode.d4.loss_dice: 1.2373, decode.d5.loss_cls: 0.8203, decode.d5.loss_mask: 0.7881, decode.d5.loss_dice: 1.2365, decode.d6.loss_cls: 0.8295, decode.d6.loss_mask: 0.7818, decode.d6.loss_dice: 1.2155, decode.d7.loss_cls: 0.8184, decode.d7.loss_mask: 0.7886, decode.d7.loss_dice: 1.2238, decode.d8.loss_cls: 0.8205, decode.d8.loss_mask: 0.7868, decode.d8.loss_dice: 1.2238, loss: 30.7187 2022-09-12 23:18:29,839 - mmseg - INFO - Iter [35900/80000] lr: 7.915e-07, eta: 23:41:43, time: 1.820, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8159, decode.loss_mask: 0.7914, decode.loss_dice: 1.2035, decode.d0.loss_cls: 2.6825, decode.d0.loss_mask: 0.7939, decode.d0.loss_dice: 1.3894, decode.d1.loss_cls: 0.8842, decode.d1.loss_mask: 0.8134, decode.d1.loss_dice: 1.2909, decode.d2.loss_cls: 0.8379, decode.d2.loss_mask: 0.8011, decode.d2.loss_dice: 1.2382, decode.d3.loss_cls: 0.8240, decode.d3.loss_mask: 0.7946, decode.d3.loss_dice: 1.2197, decode.d4.loss_cls: 0.8246, decode.d4.loss_mask: 0.7914, decode.d4.loss_dice: 1.2160, decode.d5.loss_cls: 0.8253, decode.d5.loss_mask: 0.7841, decode.d5.loss_dice: 1.2081, decode.d6.loss_cls: 0.8292, decode.d6.loss_mask: 0.7812, decode.d6.loss_dice: 1.2044, decode.d7.loss_cls: 0.8163, decode.d7.loss_mask: 0.7844, decode.d7.loss_dice: 1.2040, decode.d8.loss_cls: 0.8150, decode.d8.loss_mask: 0.7870, decode.d8.loss_dice: 1.1995, loss: 30.4511 2022-09-12 23:20:02,929 - mmseg - INFO - Iter [35950/80000] lr: 7.906e-07, eta: 23:40:01, time: 1.861, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7927, decode.loss_mask: 0.7863, decode.loss_dice: 1.1967, decode.d0.loss_cls: 2.6633, decode.d0.loss_mask: 0.7867, decode.d0.loss_dice: 1.3661, decode.d1.loss_cls: 0.8687, decode.d1.loss_mask: 0.8147, decode.d1.loss_dice: 1.2848, decode.d2.loss_cls: 0.8204, decode.d2.loss_mask: 0.8020, decode.d2.loss_dice: 1.2290, decode.d3.loss_cls: 0.7997, decode.d3.loss_mask: 0.7909, decode.d3.loss_dice: 1.2066, decode.d4.loss_cls: 0.8052, decode.d4.loss_mask: 0.7855, decode.d4.loss_dice: 1.2070, decode.d5.loss_cls: 0.7938, decode.d5.loss_mask: 0.7873, decode.d5.loss_dice: 1.2044, decode.d6.loss_cls: 0.7911, decode.d6.loss_mask: 0.7821, decode.d6.loss_dice: 1.1917, decode.d7.loss_cls: 0.7902, decode.d7.loss_mask: 0.7869, decode.d7.loss_dice: 1.2001, decode.d8.loss_cls: 0.7894, decode.d8.loss_mask: 0.7887, decode.d8.loss_dice: 1.2007, loss: 30.1127 2022-09-12 23:21:35,908 - mmseg - INFO - Saving checkpoint at 36000 iterations 2022-09-12 23:22:05,375 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 23:22:05,383 - mmseg - INFO - Iter [36000/80000] lr: 7.897e-07, eta: 23:38:56, time: 2.447, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8286, decode.loss_mask: 0.7938, decode.loss_dice: 1.2142, decode.d0.loss_cls: 2.6331, decode.d0.loss_mask: 0.7962, decode.d0.loss_dice: 1.3860, decode.d1.loss_cls: 0.9012, decode.d1.loss_mask: 0.8181, decode.d1.loss_dice: 1.3100, decode.d2.loss_cls: 0.8407, decode.d2.loss_mask: 0.8037, decode.d2.loss_dice: 1.2600, decode.d3.loss_cls: 0.8351, decode.d3.loss_mask: 0.8026, decode.d3.loss_dice: 1.2319, decode.d4.loss_cls: 0.8272, decode.d4.loss_mask: 0.7989, decode.d4.loss_dice: 1.2355, decode.d5.loss_cls: 0.8251, decode.d5.loss_mask: 0.7934, decode.d5.loss_dice: 1.2332, decode.d6.loss_cls: 0.8291, decode.d6.loss_mask: 0.7888, decode.d6.loss_dice: 1.2195, decode.d7.loss_cls: 0.8241, decode.d7.loss_mask: 0.7941, decode.d7.loss_dice: 1.2215, decode.d8.loss_cls: 0.8263, decode.d8.loss_mask: 0.7888, decode.d8.loss_dice: 1.2161, loss: 30.6767 2022-09-12 23:23:38,535 - mmseg - INFO - Iter [36050/80000] lr: 7.888e-07, eta: 23:37:15, time: 1.866, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8237, decode.loss_mask: 0.7770, decode.loss_dice: 1.2194, decode.d0.loss_cls: 2.6374, decode.d0.loss_mask: 0.7885, decode.d0.loss_dice: 1.4126, decode.d1.loss_cls: 0.8878, decode.d1.loss_mask: 0.8105, decode.d1.loss_dice: 1.3166, decode.d2.loss_cls: 0.8318, decode.d2.loss_mask: 0.7946, decode.d2.loss_dice: 1.2723, decode.d3.loss_cls: 0.8380, decode.d3.loss_mask: 0.7857, decode.d3.loss_dice: 1.2389, decode.d4.loss_cls: 0.8295, decode.d4.loss_mask: 0.7814, decode.d4.loss_dice: 1.2373, decode.d5.loss_cls: 0.8261, decode.d5.loss_mask: 0.7801, decode.d5.loss_dice: 1.2318, decode.d6.loss_cls: 0.8227, decode.d6.loss_mask: 0.7749, decode.d6.loss_dice: 1.2227, decode.d7.loss_cls: 0.8208, decode.d7.loss_mask: 0.7760, decode.d7.loss_dice: 1.2202, decode.d8.loss_cls: 0.8180, decode.d8.loss_mask: 0.7794, decode.d8.loss_dice: 1.2187, loss: 30.5744 2022-09-12 23:25:12,505 - mmseg - INFO - Iter [36100/80000] lr: 7.879e-07, eta: 23:35:35, time: 1.879, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8166, decode.loss_mask: 0.7582, decode.loss_dice: 1.1817, decode.d0.loss_cls: 2.6680, decode.d0.loss_mask: 0.7565, decode.d0.loss_dice: 1.3761, decode.d1.loss_cls: 0.8971, decode.d1.loss_mask: 0.7887, decode.d1.loss_dice: 1.2845, decode.d2.loss_cls: 0.8453, decode.d2.loss_mask: 0.7691, decode.d2.loss_dice: 1.2376, decode.d3.loss_cls: 0.8365, decode.d3.loss_mask: 0.7628, decode.d3.loss_dice: 1.2079, decode.d4.loss_cls: 0.8272, decode.d4.loss_mask: 0.7599, decode.d4.loss_dice: 1.1967, decode.d5.loss_cls: 0.8222, decode.d5.loss_mask: 0.7613, decode.d5.loss_dice: 1.1994, decode.d6.loss_cls: 0.8194, decode.d6.loss_mask: 0.7553, decode.d6.loss_dice: 1.1883, decode.d7.loss_cls: 0.8175, decode.d7.loss_mask: 0.7563, decode.d7.loss_dice: 1.1862, decode.d8.loss_cls: 0.8215, decode.d8.loss_mask: 0.7531, decode.d8.loss_dice: 1.1808, loss: 30.0316 2022-09-12 23:26:45,544 - mmseg - INFO - Iter [36150/80000] lr: 7.870e-07, eta: 23:33:54, time: 1.861, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7958, decode.loss_mask: 0.7800, decode.loss_dice: 1.2085, decode.d0.loss_cls: 2.6618, decode.d0.loss_mask: 0.7757, decode.d0.loss_dice: 1.3928, decode.d1.loss_cls: 0.8913, decode.d1.loss_mask: 0.8014, decode.d1.loss_dice: 1.2859, decode.d2.loss_cls: 0.8354, decode.d2.loss_mask: 0.7895, decode.d2.loss_dice: 1.2428, decode.d3.loss_cls: 0.8209, decode.d3.loss_mask: 0.7864, decode.d3.loss_dice: 1.2210, decode.d4.loss_cls: 0.8145, decode.d4.loss_mask: 0.7873, decode.d4.loss_dice: 1.2228, decode.d5.loss_cls: 0.8070, decode.d5.loss_mask: 0.7879, decode.d5.loss_dice: 1.2146, decode.d6.loss_cls: 0.8027, decode.d6.loss_mask: 0.7791, decode.d6.loss_dice: 1.2122, decode.d7.loss_cls: 0.8017, decode.d7.loss_mask: 0.7793, decode.d7.loss_dice: 1.2062, decode.d8.loss_cls: 0.7955, decode.d8.loss_mask: 0.7824, decode.d8.loss_dice: 1.2064, loss: 30.2884 2022-09-12 23:28:18,808 - mmseg - INFO - Iter [36200/80000] lr: 7.861e-07, eta: 23:32:13, time: 1.863, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8415, decode.loss_mask: 0.7811, decode.loss_dice: 1.2345, decode.d0.loss_cls: 2.6826, decode.d0.loss_mask: 0.7956, decode.d0.loss_dice: 1.4210, decode.d1.loss_cls: 0.9067, decode.d1.loss_mask: 0.8045, decode.d1.loss_dice: 1.3247, decode.d2.loss_cls: 0.8593, decode.d2.loss_mask: 0.7957, decode.d2.loss_dice: 1.2685, decode.d3.loss_cls: 0.8501, decode.d3.loss_mask: 0.7854, decode.d3.loss_dice: 1.2584, decode.d4.loss_cls: 0.8403, decode.d4.loss_mask: 0.7815, decode.d4.loss_dice: 1.2450, decode.d5.loss_cls: 0.8329, decode.d5.loss_mask: 0.7827, decode.d5.loss_dice: 1.2413, decode.d6.loss_cls: 0.8363, decode.d6.loss_mask: 0.7791, decode.d6.loss_dice: 1.2364, decode.d7.loss_cls: 0.8341, decode.d7.loss_mask: 0.7781, decode.d7.loss_dice: 1.2299, decode.d8.loss_cls: 0.8338, decode.d8.loss_mask: 0.7770, decode.d8.loss_dice: 1.2336, loss: 30.8717 2022-09-12 23:29:52,411 - mmseg - INFO - Iter [36250/80000] lr: 7.852e-07, eta: 23:30:32, time: 1.874, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8059, decode.loss_mask: 0.7806, decode.loss_dice: 1.1992, decode.d0.loss_cls: 2.6333, decode.d0.loss_mask: 0.7969, decode.d0.loss_dice: 1.3919, decode.d1.loss_cls: 0.8884, decode.d1.loss_mask: 0.8172, decode.d1.loss_dice: 1.2976, decode.d2.loss_cls: 0.8321, decode.d2.loss_mask: 0.8014, decode.d2.loss_dice: 1.2448, decode.d3.loss_cls: 0.8235, decode.d3.loss_mask: 0.7928, decode.d3.loss_dice: 1.2189, decode.d4.loss_cls: 0.8124, decode.d4.loss_mask: 0.7954, decode.d4.loss_dice: 1.2170, decode.d5.loss_cls: 0.8143, decode.d5.loss_mask: 0.7857, decode.d5.loss_dice: 1.2101, decode.d6.loss_cls: 0.8069, decode.d6.loss_mask: 0.7864, decode.d6.loss_dice: 1.1989, decode.d7.loss_cls: 0.8047, decode.d7.loss_mask: 0.7860, decode.d7.loss_dice: 1.2008, decode.d8.loss_cls: 0.7996, decode.d8.loss_mask: 0.7842, decode.d8.loss_dice: 1.2064, loss: 30.3332 2022-09-12 23:31:24,982 - mmseg - INFO - Iter [36300/80000] lr: 7.843e-07, eta: 23:28:51, time: 1.851, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7760, decode.loss_mask: 0.7889, decode.loss_dice: 1.1935, decode.d0.loss_cls: 2.6213, decode.d0.loss_mask: 0.7931, decode.d0.loss_dice: 1.3832, decode.d1.loss_cls: 0.8618, decode.d1.loss_mask: 0.8171, decode.d1.loss_dice: 1.2825, decode.d2.loss_cls: 0.8018, decode.d2.loss_mask: 0.7969, decode.d2.loss_dice: 1.2301, decode.d3.loss_cls: 0.7989, decode.d3.loss_mask: 0.7866, decode.d3.loss_dice: 1.2151, decode.d4.loss_cls: 0.7870, decode.d4.loss_mask: 0.7881, decode.d4.loss_dice: 1.2102, decode.d5.loss_cls: 0.7871, decode.d5.loss_mask: 0.7874, decode.d5.loss_dice: 1.1983, decode.d6.loss_cls: 0.7910, decode.d6.loss_mask: 0.7882, decode.d6.loss_dice: 1.1933, decode.d7.loss_cls: 0.7848, decode.d7.loss_mask: 0.7854, decode.d7.loss_dice: 1.1966, decode.d8.loss_cls: 0.7790, decode.d8.loss_mask: 0.7898, decode.d8.loss_dice: 1.2001, loss: 30.0130 2022-09-12 23:32:59,355 - mmseg - INFO - Iter [36350/80000] lr: 7.834e-07, eta: 23:27:11, time: 1.888, data_time: 0.012, memory: 42763, decode.loss_cls: 0.8499, decode.loss_mask: 0.7663, decode.loss_dice: 1.2154, decode.d0.loss_cls: 2.7259, decode.d0.loss_mask: 0.7795, decode.d0.loss_dice: 1.4138, decode.d1.loss_cls: 0.9147, decode.d1.loss_mask: 0.7920, decode.d1.loss_dice: 1.3028, decode.d2.loss_cls: 0.8747, decode.d2.loss_mask: 0.7818, decode.d2.loss_dice: 1.2478, decode.d3.loss_cls: 0.8613, decode.d3.loss_mask: 0.7774, decode.d3.loss_dice: 1.2338, decode.d4.loss_cls: 0.8555, decode.d4.loss_mask: 0.7762, decode.d4.loss_dice: 1.2234, decode.d5.loss_cls: 0.8526, decode.d5.loss_mask: 0.7748, decode.d5.loss_dice: 1.2166, decode.d6.loss_cls: 0.8526, decode.d6.loss_mask: 0.7722, decode.d6.loss_dice: 1.2104, decode.d7.loss_cls: 0.8439, decode.d7.loss_mask: 0.7736, decode.d7.loss_dice: 1.2111, decode.d8.loss_cls: 0.8499, decode.d8.loss_mask: 0.7712, decode.d8.loss_dice: 1.2106, loss: 30.7319 2022-09-12 23:34:32,334 - mmseg - INFO - Iter [36400/80000] lr: 7.825e-07, eta: 23:25:30, time: 1.859, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7851, decode.loss_mask: 0.7875, decode.loss_dice: 1.1668, decode.d0.loss_cls: 2.5734, decode.d0.loss_mask: 0.7981, decode.d0.loss_dice: 1.3480, decode.d1.loss_cls: 0.8519, decode.d1.loss_mask: 0.8234, decode.d1.loss_dice: 1.2535, decode.d2.loss_cls: 0.8050, decode.d2.loss_mask: 0.8114, decode.d2.loss_dice: 1.2096, decode.d3.loss_cls: 0.7895, decode.d3.loss_mask: 0.8041, decode.d3.loss_dice: 1.1952, decode.d4.loss_cls: 0.7941, decode.d4.loss_mask: 0.7962, decode.d4.loss_dice: 1.1848, decode.d5.loss_cls: 0.7891, decode.d5.loss_mask: 0.8008, decode.d5.loss_dice: 1.1846, decode.d6.loss_cls: 0.7822, decode.d6.loss_mask: 0.7889, decode.d6.loss_dice: 1.1782, decode.d7.loss_cls: 0.7824, decode.d7.loss_mask: 0.7867, decode.d7.loss_dice: 1.1769, decode.d8.loss_cls: 0.7843, decode.d8.loss_mask: 0.7826, decode.d8.loss_dice: 1.1760, loss: 29.7904 2022-09-12 23:36:05,217 - mmseg - INFO - Iter [36450/80000] lr: 7.816e-07, eta: 23:23:49, time: 1.858, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8252, decode.loss_mask: 0.7872, decode.loss_dice: 1.1818, decode.d0.loss_cls: 2.6165, decode.d0.loss_mask: 0.7945, decode.d0.loss_dice: 1.3681, decode.d1.loss_cls: 0.8972, decode.d1.loss_mask: 0.8184, decode.d1.loss_dice: 1.2655, decode.d2.loss_cls: 0.8404, decode.d2.loss_mask: 0.8019, decode.d2.loss_dice: 1.2261, decode.d3.loss_cls: 0.8350, decode.d3.loss_mask: 0.7921, decode.d3.loss_dice: 1.1958, decode.d4.loss_cls: 0.8322, decode.d4.loss_mask: 0.7897, decode.d4.loss_dice: 1.1967, decode.d5.loss_cls: 0.8307, decode.d5.loss_mask: 0.7822, decode.d5.loss_dice: 1.1909, decode.d6.loss_cls: 0.8285, decode.d6.loss_mask: 0.7820, decode.d6.loss_dice: 1.1753, decode.d7.loss_cls: 0.8254, decode.d7.loss_mask: 0.7814, decode.d7.loss_dice: 1.1803, decode.d8.loss_cls: 0.8255, decode.d8.loss_mask: 0.7820, decode.d8.loss_dice: 1.1853, loss: 30.2338 2022-09-12 23:37:38,555 - mmseg - INFO - Iter [36500/80000] lr: 7.807e-07, eta: 23:22:08, time: 1.867, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8179, decode.loss_mask: 0.7788, decode.loss_dice: 1.2214, decode.d0.loss_cls: 2.6402, decode.d0.loss_mask: 0.7849, decode.d0.loss_dice: 1.4129, decode.d1.loss_cls: 0.8703, decode.d1.loss_mask: 0.8174, decode.d1.loss_dice: 1.3317, decode.d2.loss_cls: 0.8368, decode.d2.loss_mask: 0.7998, decode.d2.loss_dice: 1.2654, decode.d3.loss_cls: 0.8238, decode.d3.loss_mask: 0.7968, decode.d3.loss_dice: 1.2447, decode.d4.loss_cls: 0.8274, decode.d4.loss_mask: 0.7872, decode.d4.loss_dice: 1.2362, decode.d5.loss_cls: 0.8204, decode.d5.loss_mask: 0.7860, decode.d5.loss_dice: 1.2284, decode.d6.loss_cls: 0.8180, decode.d6.loss_mask: 0.7837, decode.d6.loss_dice: 1.2277, decode.d7.loss_cls: 0.8137, decode.d7.loss_mask: 0.7837, decode.d7.loss_dice: 1.2253, decode.d8.loss_cls: 0.8182, decode.d8.loss_mask: 0.7825, decode.d8.loss_dice: 1.2188, loss: 30.6002 2022-09-12 23:39:10,865 - mmseg - INFO - Iter [36550/80000] lr: 7.798e-07, eta: 23:20:26, time: 1.846, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8024, decode.loss_mask: 0.7741, decode.loss_dice: 1.1803, decode.d0.loss_cls: 2.6002, decode.d0.loss_mask: 0.7870, decode.d0.loss_dice: 1.3670, decode.d1.loss_cls: 0.8788, decode.d1.loss_mask: 0.8035, decode.d1.loss_dice: 1.2716, decode.d2.loss_cls: 0.8104, decode.d2.loss_mask: 0.7904, decode.d2.loss_dice: 1.2237, decode.d3.loss_cls: 0.8136, decode.d3.loss_mask: 0.7814, decode.d3.loss_dice: 1.1938, decode.d4.loss_cls: 0.8083, decode.d4.loss_mask: 0.7790, decode.d4.loss_dice: 1.1948, decode.d5.loss_cls: 0.7987, decode.d5.loss_mask: 0.7780, decode.d5.loss_dice: 1.1890, decode.d6.loss_cls: 0.8036, decode.d6.loss_mask: 0.7741, decode.d6.loss_dice: 1.1760, decode.d7.loss_cls: 0.7981, decode.d7.loss_mask: 0.7719, decode.d7.loss_dice: 1.1808, decode.d8.loss_cls: 0.7959, decode.d8.loss_mask: 0.7690, decode.d8.loss_dice: 1.1808, loss: 29.8761 2022-09-12 23:40:45,352 - mmseg - INFO - Iter [36600/80000] lr: 7.789e-07, eta: 23:18:47, time: 1.889, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7720, decode.loss_mask: 0.7798, decode.loss_dice: 1.1638, decode.d0.loss_cls: 2.6103, decode.d0.loss_mask: 0.7792, decode.d0.loss_dice: 1.3543, decode.d1.loss_cls: 0.8473, decode.d1.loss_mask: 0.8062, decode.d1.loss_dice: 1.2559, decode.d2.loss_cls: 0.8045, decode.d2.loss_mask: 0.7832, decode.d2.loss_dice: 1.2067, decode.d3.loss_cls: 0.7873, decode.d3.loss_mask: 0.7823, decode.d3.loss_dice: 1.1824, decode.d4.loss_cls: 0.7811, decode.d4.loss_mask: 0.7840, decode.d4.loss_dice: 1.1805, decode.d5.loss_cls: 0.7795, decode.d5.loss_mask: 0.7859, decode.d5.loss_dice: 1.1739, decode.d6.loss_cls: 0.7763, decode.d6.loss_mask: 0.7779, decode.d6.loss_dice: 1.1635, decode.d7.loss_cls: 0.7720, decode.d7.loss_mask: 0.7802, decode.d7.loss_dice: 1.1584, decode.d8.loss_cls: 0.7681, decode.d8.loss_mask: 0.7828, decode.d8.loss_dice: 1.1679, loss: 29.5475 2022-09-12 23:42:18,869 - mmseg - INFO - Iter [36650/80000] lr: 7.780e-07, eta: 23:17:06, time: 1.871, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8060, decode.loss_mask: 0.7556, decode.loss_dice: 1.1844, decode.d0.loss_cls: 2.6496, decode.d0.loss_mask: 0.7626, decode.d0.loss_dice: 1.3729, decode.d1.loss_cls: 0.8774, decode.d1.loss_mask: 0.7832, decode.d1.loss_dice: 1.2660, decode.d2.loss_cls: 0.8292, decode.d2.loss_mask: 0.7670, decode.d2.loss_dice: 1.2165, decode.d3.loss_cls: 0.8193, decode.d3.loss_mask: 0.7605, decode.d3.loss_dice: 1.2009, decode.d4.loss_cls: 0.8120, decode.d4.loss_mask: 0.7577, decode.d4.loss_dice: 1.1964, decode.d5.loss_cls: 0.8044, decode.d5.loss_mask: 0.7593, decode.d5.loss_dice: 1.1940, decode.d6.loss_cls: 0.8013, decode.d6.loss_mask: 0.7594, decode.d6.loss_dice: 1.1828, decode.d7.loss_cls: 0.8033, decode.d7.loss_mask: 0.7552, decode.d7.loss_dice: 1.1830, decode.d8.loss_cls: 0.7981, decode.d8.loss_mask: 0.7519, decode.d8.loss_dice: 1.1817, loss: 29.7916 2022-09-12 23:43:51,535 - mmseg - INFO - Iter [36700/80000] lr: 7.771e-07, eta: 23:15:25, time: 1.853, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8041, decode.loss_mask: 0.7853, decode.loss_dice: 1.2036, decode.d0.loss_cls: 2.6414, decode.d0.loss_mask: 0.7915, decode.d0.loss_dice: 1.4158, decode.d1.loss_cls: 0.9001, decode.d1.loss_mask: 0.8138, decode.d1.loss_dice: 1.2870, decode.d2.loss_cls: 0.8390, decode.d2.loss_mask: 0.7977, decode.d2.loss_dice: 1.2329, decode.d3.loss_cls: 0.8243, decode.d3.loss_mask: 0.7923, decode.d3.loss_dice: 1.2139, decode.d4.loss_cls: 0.8195, decode.d4.loss_mask: 0.7904, decode.d4.loss_dice: 1.2092, decode.d5.loss_cls: 0.8148, decode.d5.loss_mask: 0.7866, decode.d5.loss_dice: 1.2025, decode.d6.loss_cls: 0.8160, decode.d6.loss_mask: 0.7810, decode.d6.loss_dice: 1.1977, decode.d7.loss_cls: 0.8094, decode.d7.loss_mask: 0.7796, decode.d7.loss_dice: 1.1997, decode.d8.loss_cls: 0.8091, decode.d8.loss_mask: 0.7811, decode.d8.loss_dice: 1.2026, loss: 30.3421 2022-09-12 23:45:24,668 - mmseg - INFO - Iter [36750/80000] lr: 7.762e-07, eta: 23:13:44, time: 1.863, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7988, decode.loss_mask: 0.7594, decode.loss_dice: 1.2201, decode.d0.loss_cls: 2.6743, decode.d0.loss_mask: 0.7651, decode.d0.loss_dice: 1.3905, decode.d1.loss_cls: 0.8926, decode.d1.loss_mask: 0.7799, decode.d1.loss_dice: 1.2980, decode.d2.loss_cls: 0.8368, decode.d2.loss_mask: 0.7698, decode.d2.loss_dice: 1.2583, decode.d3.loss_cls: 0.8248, decode.d3.loss_mask: 0.7580, decode.d3.loss_dice: 1.2315, decode.d4.loss_cls: 0.8148, decode.d4.loss_mask: 0.7544, decode.d4.loss_dice: 1.2284, decode.d5.loss_cls: 0.8072, decode.d5.loss_mask: 0.7609, decode.d5.loss_dice: 1.2254, decode.d6.loss_cls: 0.8085, decode.d6.loss_mask: 0.7593, decode.d6.loss_dice: 1.2161, decode.d7.loss_cls: 0.8057, decode.d7.loss_mask: 0.7539, decode.d7.loss_dice: 1.2157, decode.d8.loss_cls: 0.8032, decode.d8.loss_mask: 0.7539, decode.d8.loss_dice: 1.2197, loss: 30.1850 2022-09-12 23:46:57,834 - mmseg - INFO - Iter [36800/80000] lr: 7.753e-07, eta: 23:12:03, time: 1.863, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8347, decode.loss_mask: 0.7714, decode.loss_dice: 1.2160, decode.d0.loss_cls: 2.6292, decode.d0.loss_mask: 0.7831, decode.d0.loss_dice: 1.4110, decode.d1.loss_cls: 0.8992, decode.d1.loss_mask: 0.7979, decode.d1.loss_dice: 1.3064, decode.d2.loss_cls: 0.8537, decode.d2.loss_mask: 0.7882, decode.d2.loss_dice: 1.2619, decode.d3.loss_cls: 0.8537, decode.d3.loss_mask: 0.7844, decode.d3.loss_dice: 1.2332, decode.d4.loss_cls: 0.8377, decode.d4.loss_mask: 0.7868, decode.d4.loss_dice: 1.2261, decode.d5.loss_cls: 0.8348, decode.d5.loss_mask: 0.7827, decode.d5.loss_dice: 1.2255, decode.d6.loss_cls: 0.8342, decode.d6.loss_mask: 0.7744, decode.d6.loss_dice: 1.2115, decode.d7.loss_cls: 0.8345, decode.d7.loss_mask: 0.7759, decode.d7.loss_dice: 1.2179, decode.d8.loss_cls: 0.8259, decode.d8.loss_mask: 0.7754, decode.d8.loss_dice: 1.2191, loss: 30.5865 2022-09-12 23:48:30,605 - mmseg - INFO - Iter [36850/80000] lr: 7.745e-07, eta: 23:10:22, time: 1.855, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7755, decode.loss_mask: 0.7777, decode.loss_dice: 1.1949, decode.d0.loss_cls: 2.6003, decode.d0.loss_mask: 0.7799, decode.d0.loss_dice: 1.3846, decode.d1.loss_cls: 0.8376, decode.d1.loss_mask: 0.8097, decode.d1.loss_dice: 1.2898, decode.d2.loss_cls: 0.8021, decode.d2.loss_mask: 0.7901, decode.d2.loss_dice: 1.2341, decode.d3.loss_cls: 0.7886, decode.d3.loss_mask: 0.7917, decode.d3.loss_dice: 1.2163, decode.d4.loss_cls: 0.7836, decode.d4.loss_mask: 0.7857, decode.d4.loss_dice: 1.2101, decode.d5.loss_cls: 0.7786, decode.d5.loss_mask: 0.7864, decode.d5.loss_dice: 1.2097, decode.d6.loss_cls: 0.7674, decode.d6.loss_mask: 0.7834, decode.d6.loss_dice: 1.2018, decode.d7.loss_cls: 0.7720, decode.d7.loss_mask: 0.7807, decode.d7.loss_dice: 1.2021, decode.d8.loss_cls: 0.7714, decode.d8.loss_mask: 0.7776, decode.d8.loss_dice: 1.1968, loss: 29.8803 2022-09-12 23:50:03,984 - mmseg - INFO - Iter [36900/80000] lr: 7.736e-07, eta: 23:08:41, time: 1.868, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7851, decode.loss_mask: 0.7876, decode.loss_dice: 1.2265, decode.d0.loss_cls: 2.6095, decode.d0.loss_mask: 0.7959, decode.d0.loss_dice: 1.4214, decode.d1.loss_cls: 0.8617, decode.d1.loss_mask: 0.8201, decode.d1.loss_dice: 1.3204, decode.d2.loss_cls: 0.8122, decode.d2.loss_mask: 0.8037, decode.d2.loss_dice: 1.2701, decode.d3.loss_cls: 0.8035, decode.d3.loss_mask: 0.7973, decode.d3.loss_dice: 1.2408, decode.d4.loss_cls: 0.7959, decode.d4.loss_mask: 0.7942, decode.d4.loss_dice: 1.2332, decode.d5.loss_cls: 0.7827, decode.d5.loss_mask: 0.7951, decode.d5.loss_dice: 1.2320, decode.d6.loss_cls: 0.7884, decode.d6.loss_mask: 0.7866, decode.d6.loss_dice: 1.2262, decode.d7.loss_cls: 0.7782, decode.d7.loss_mask: 0.7914, decode.d7.loss_dice: 1.2277, decode.d8.loss_cls: 0.7760, decode.d8.loss_mask: 0.7951, decode.d8.loss_dice: 1.2306, loss: 30.3889 2022-09-12 23:51:37,652 - mmseg - INFO - Iter [36950/80000] lr: 7.727e-07, eta: 23:07:01, time: 1.873, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8165, decode.loss_mask: 0.7927, decode.loss_dice: 1.2065, decode.d0.loss_cls: 2.6594, decode.d0.loss_mask: 0.8021, decode.d0.loss_dice: 1.3991, decode.d1.loss_cls: 0.8896, decode.d1.loss_mask: 0.8294, decode.d1.loss_dice: 1.3050, decode.d2.loss_cls: 0.8345, decode.d2.loss_mask: 0.8143, decode.d2.loss_dice: 1.2546, decode.d3.loss_cls: 0.8236, decode.d3.loss_mask: 0.8062, decode.d3.loss_dice: 1.2318, decode.d4.loss_cls: 0.8177, decode.d4.loss_mask: 0.8036, decode.d4.loss_dice: 1.2267, decode.d5.loss_cls: 0.8211, decode.d5.loss_mask: 0.7997, decode.d5.loss_dice: 1.2238, decode.d6.loss_cls: 0.8219, decode.d6.loss_mask: 0.7912, decode.d6.loss_dice: 1.2105, decode.d7.loss_cls: 0.8198, decode.d7.loss_mask: 0.7906, decode.d7.loss_dice: 1.2120, decode.d8.loss_cls: 0.8178, decode.d8.loss_mask: 0.7916, decode.d8.loss_dice: 1.2067, loss: 30.6202 2022-09-12 23:53:14,838 - mmseg - INFO - Saving checkpoint at 37000 iterations 2022-09-12 23:53:45,331 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-12 23:53:45,339 - mmseg - INFO - Iter [37000/80000] lr: 7.718e-07, eta: 23:06:01, time: 2.551, data_time: 0.062, memory: 42763, decode.loss_cls: 0.8153, decode.loss_mask: 0.7632, decode.loss_dice: 1.2070, decode.d0.loss_cls: 2.6218, decode.d0.loss_mask: 0.7734, decode.d0.loss_dice: 1.4059, decode.d1.loss_cls: 0.8952, decode.d1.loss_mask: 0.7953, decode.d1.loss_dice: 1.2997, decode.d2.loss_cls: 0.8434, decode.d2.loss_mask: 0.7774, decode.d2.loss_dice: 1.2504, decode.d3.loss_cls: 0.8292, decode.d3.loss_mask: 0.7683, decode.d3.loss_dice: 1.2249, decode.d4.loss_cls: 0.8251, decode.d4.loss_mask: 0.7688, decode.d4.loss_dice: 1.2179, decode.d5.loss_cls: 0.8217, decode.d5.loss_mask: 0.7662, decode.d5.loss_dice: 1.2144, decode.d6.loss_cls: 0.8172, decode.d6.loss_mask: 0.7621, decode.d6.loss_dice: 1.2045, decode.d7.loss_cls: 0.8201, decode.d7.loss_mask: 0.7637, decode.d7.loss_dice: 1.2120, decode.d8.loss_cls: 0.8145, decode.d8.loss_mask: 0.7589, decode.d8.loss_dice: 1.2076, loss: 30.2451 2022-09-12 23:55:19,024 - mmseg - INFO - Iter [37050/80000] lr: 7.709e-07, eta: 23:04:20, time: 1.876, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8253, decode.loss_mask: 0.7853, decode.loss_dice: 1.2164, decode.d0.loss_cls: 2.6740, decode.d0.loss_mask: 0.7923, decode.d0.loss_dice: 1.4106, decode.d1.loss_cls: 0.9034, decode.d1.loss_mask: 0.8102, decode.d1.loss_dice: 1.3125, decode.d2.loss_cls: 0.8567, decode.d2.loss_mask: 0.7930, decode.d2.loss_dice: 1.2601, decode.d3.loss_cls: 0.8498, decode.d3.loss_mask: 0.7844, decode.d3.loss_dice: 1.2305, decode.d4.loss_cls: 0.8428, decode.d4.loss_mask: 0.7863, decode.d4.loss_dice: 1.2362, decode.d5.loss_cls: 0.8337, decode.d5.loss_mask: 0.7812, decode.d5.loss_dice: 1.2238, decode.d6.loss_cls: 0.8257, decode.d6.loss_mask: 0.7792, decode.d6.loss_dice: 1.2157, decode.d7.loss_cls: 0.8273, decode.d7.loss_mask: 0.7831, decode.d7.loss_dice: 1.2153, decode.d8.loss_cls: 0.8215, decode.d8.loss_mask: 0.7828, decode.d8.loss_dice: 1.2181, loss: 30.6771 2022-09-12 23:56:52,611 - mmseg - INFO - Iter [37100/80000] lr: 7.700e-07, eta: 23:02:40, time: 1.872, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8013, decode.loss_mask: 0.7551, decode.loss_dice: 1.1927, decode.d0.loss_cls: 2.7218, decode.d0.loss_mask: 0.7703, decode.d0.loss_dice: 1.3769, decode.d1.loss_cls: 0.8757, decode.d1.loss_mask: 0.7809, decode.d1.loss_dice: 1.2893, decode.d2.loss_cls: 0.8367, decode.d2.loss_mask: 0.7663, decode.d2.loss_dice: 1.2327, decode.d3.loss_cls: 0.8152, decode.d3.loss_mask: 0.7595, decode.d3.loss_dice: 1.2178, decode.d4.loss_cls: 0.8120, decode.d4.loss_mask: 0.7525, decode.d4.loss_dice: 1.2194, decode.d5.loss_cls: 0.8036, decode.d5.loss_mask: 0.7516, decode.d5.loss_dice: 1.2109, decode.d6.loss_cls: 0.8012, decode.d6.loss_mask: 0.7498, decode.d6.loss_dice: 1.1955, decode.d7.loss_cls: 0.8026, decode.d7.loss_mask: 0.7528, decode.d7.loss_dice: 1.1934, decode.d8.loss_cls: 0.8009, decode.d8.loss_mask: 0.7545, decode.d8.loss_dice: 1.1994, loss: 29.9923 2022-09-12 23:58:26,778 - mmseg - INFO - Iter [37150/80000] lr: 7.691e-07, eta: 23:01:01, time: 1.883, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7664, decode.loss_mask: 0.7602, decode.loss_dice: 1.1539, decode.d0.loss_cls: 2.5822, decode.d0.loss_mask: 0.7612, decode.d0.loss_dice: 1.3470, decode.d1.loss_cls: 0.8447, decode.d1.loss_mask: 0.7855, decode.d1.loss_dice: 1.2504, decode.d2.loss_cls: 0.7880, decode.d2.loss_mask: 0.7626, decode.d2.loss_dice: 1.1888, decode.d3.loss_cls: 0.7764, decode.d3.loss_mask: 0.7653, decode.d3.loss_dice: 1.1624, decode.d4.loss_cls: 0.7652, decode.d4.loss_mask: 0.7651, decode.d4.loss_dice: 1.1603, decode.d5.loss_cls: 0.7672, decode.d5.loss_mask: 0.7605, decode.d5.loss_dice: 1.1611, decode.d6.loss_cls: 0.7674, decode.d6.loss_mask: 0.7583, decode.d6.loss_dice: 1.1472, decode.d7.loss_cls: 0.7685, decode.d7.loss_mask: 0.7607, decode.d7.loss_dice: 1.1494, decode.d8.loss_cls: 0.7618, decode.d8.loss_mask: 0.7578, decode.d8.loss_dice: 1.1529, loss: 29.0984 2022-09-12 23:59:59,826 - mmseg - INFO - Iter [37200/80000] lr: 7.682e-07, eta: 22:59:20, time: 1.861, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8087, decode.loss_mask: 0.7701, decode.loss_dice: 1.2133, decode.d0.loss_cls: 2.6518, decode.d0.loss_mask: 0.7667, decode.d0.loss_dice: 1.3949, decode.d1.loss_cls: 0.8918, decode.d1.loss_mask: 0.7982, decode.d1.loss_dice: 1.3050, decode.d2.loss_cls: 0.8305, decode.d2.loss_mask: 0.7859, decode.d2.loss_dice: 1.2538, decode.d3.loss_cls: 0.8219, decode.d3.loss_mask: 0.7786, decode.d3.loss_dice: 1.2322, decode.d4.loss_cls: 0.8185, decode.d4.loss_mask: 0.7747, decode.d4.loss_dice: 1.2298, decode.d5.loss_cls: 0.8128, decode.d5.loss_mask: 0.7781, decode.d5.loss_dice: 1.2285, decode.d6.loss_cls: 0.8093, decode.d6.loss_mask: 0.7718, decode.d6.loss_dice: 1.2127, decode.d7.loss_cls: 0.8050, decode.d7.loss_mask: 0.7697, decode.d7.loss_dice: 1.2161, decode.d8.loss_cls: 0.8122, decode.d8.loss_mask: 0.7687, decode.d8.loss_dice: 1.2125, loss: 30.3240 2022-09-13 00:01:36,129 - mmseg - INFO - Iter [37250/80000] lr: 7.673e-07, eta: 22:57:43, time: 1.926, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7788, decode.loss_mask: 0.7584, decode.loss_dice: 1.1752, decode.d0.loss_cls: 2.5998, decode.d0.loss_mask: 0.7647, decode.d0.loss_dice: 1.3556, decode.d1.loss_cls: 0.8496, decode.d1.loss_mask: 0.7899, decode.d1.loss_dice: 1.2730, decode.d2.loss_cls: 0.8026, decode.d2.loss_mask: 0.7706, decode.d2.loss_dice: 1.2174, decode.d3.loss_cls: 0.7867, decode.d3.loss_mask: 0.7670, decode.d3.loss_dice: 1.1903, decode.d4.loss_cls: 0.7790, decode.d4.loss_mask: 0.7640, decode.d4.loss_dice: 1.1891, decode.d5.loss_cls: 0.7774, decode.d5.loss_mask: 0.7618, decode.d5.loss_dice: 1.1914, decode.d6.loss_cls: 0.7766, decode.d6.loss_mask: 0.7555, decode.d6.loss_dice: 1.1830, decode.d7.loss_cls: 0.7740, decode.d7.loss_mask: 0.7592, decode.d7.loss_dice: 1.1813, decode.d8.loss_cls: 0.7755, decode.d8.loss_mask: 0.7589, decode.d8.loss_dice: 1.1786, loss: 29.4848 2022-09-13 00:03:10,796 - mmseg - INFO - Iter [37300/80000] lr: 7.664e-07, eta: 22:56:04, time: 1.893, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8205, decode.loss_mask: 0.7808, decode.loss_dice: 1.2228, decode.d0.loss_cls: 2.6477, decode.d0.loss_mask: 0.7850, decode.d0.loss_dice: 1.4133, decode.d1.loss_cls: 0.9064, decode.d1.loss_mask: 0.8065, decode.d1.loss_dice: 1.3172, decode.d2.loss_cls: 0.8485, decode.d2.loss_mask: 0.7946, decode.d2.loss_dice: 1.2680, decode.d3.loss_cls: 0.8416, decode.d3.loss_mask: 0.7837, decode.d3.loss_dice: 1.2431, decode.d4.loss_cls: 0.8348, decode.d4.loss_mask: 0.7833, decode.d4.loss_dice: 1.2477, decode.d5.loss_cls: 0.8300, decode.d5.loss_mask: 0.7788, decode.d5.loss_dice: 1.2304, decode.d6.loss_cls: 0.8241, decode.d6.loss_mask: 0.7787, decode.d6.loss_dice: 1.2253, decode.d7.loss_cls: 0.8231, decode.d7.loss_mask: 0.7808, decode.d7.loss_dice: 1.2171, decode.d8.loss_cls: 0.8197, decode.d8.loss_mask: 0.7816, decode.d8.loss_dice: 1.2216, loss: 30.6568 2022-09-13 00:04:44,275 - mmseg - INFO - Iter [37350/80000] lr: 7.655e-07, eta: 22:54:23, time: 1.870, data_time: 0.012, memory: 42763, decode.loss_cls: 0.8183, decode.loss_mask: 0.7857, decode.loss_dice: 1.2086, decode.d0.loss_cls: 2.6301, decode.d0.loss_mask: 0.8066, decode.d0.loss_dice: 1.3973, decode.d1.loss_cls: 0.8953, decode.d1.loss_mask: 0.8255, decode.d1.loss_dice: 1.2972, decode.d2.loss_cls: 0.8478, decode.d2.loss_mask: 0.8030, decode.d2.loss_dice: 1.2436, decode.d3.loss_cls: 0.8341, decode.d3.loss_mask: 0.7970, decode.d3.loss_dice: 1.2204, decode.d4.loss_cls: 0.8346, decode.d4.loss_mask: 0.7913, decode.d4.loss_dice: 1.2191, decode.d5.loss_cls: 0.8278, decode.d5.loss_mask: 0.7918, decode.d5.loss_dice: 1.2135, decode.d6.loss_cls: 0.8242, decode.d6.loss_mask: 0.7843, decode.d6.loss_dice: 1.2042, decode.d7.loss_cls: 0.8130, decode.d7.loss_mask: 0.7911, decode.d7.loss_dice: 1.2163, decode.d8.loss_cls: 0.8155, decode.d8.loss_mask: 0.7838, decode.d8.loss_dice: 1.2113, loss: 30.5324 2022-09-13 00:06:19,536 - mmseg - INFO - Iter [37400/80000] lr: 7.646e-07, eta: 22:52:45, time: 1.905, data_time: 0.012, memory: 42763, decode.loss_cls: 0.8059, decode.loss_mask: 0.7514, decode.loss_dice: 1.1880, decode.d0.loss_cls: 2.6726, decode.d0.loss_mask: 0.7636, decode.d0.loss_dice: 1.3832, decode.d1.loss_cls: 0.8729, decode.d1.loss_mask: 0.7821, decode.d1.loss_dice: 1.2791, decode.d2.loss_cls: 0.8252, decode.d2.loss_mask: 0.7729, decode.d2.loss_dice: 1.2338, decode.d3.loss_cls: 0.8192, decode.d3.loss_mask: 0.7669, decode.d3.loss_dice: 1.2117, decode.d4.loss_cls: 0.8220, decode.d4.loss_mask: 0.7624, decode.d4.loss_dice: 1.2038, decode.d5.loss_cls: 0.8148, decode.d5.loss_mask: 0.7536, decode.d5.loss_dice: 1.2013, decode.d6.loss_cls: 0.8058, decode.d6.loss_mask: 0.7529, decode.d6.loss_dice: 1.1933, decode.d7.loss_cls: 0.8056, decode.d7.loss_mask: 0.7548, decode.d7.loss_dice: 1.1938, decode.d8.loss_cls: 0.8097, decode.d8.loss_mask: 0.7547, decode.d8.loss_dice: 1.1899, loss: 29.9469 2022-09-13 00:07:52,319 - mmseg - INFO - Iter [37450/80000] lr: 7.637e-07, eta: 22:51:04, time: 1.856, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7946, decode.loss_mask: 0.7599, decode.loss_dice: 1.2005, decode.d0.loss_cls: 2.6422, decode.d0.loss_mask: 0.7622, decode.d0.loss_dice: 1.3915, decode.d1.loss_cls: 0.8695, decode.d1.loss_mask: 0.7923, decode.d1.loss_dice: 1.2877, decode.d2.loss_cls: 0.8219, decode.d2.loss_mask: 0.7725, decode.d2.loss_dice: 1.2334, decode.d3.loss_cls: 0.8030, decode.d3.loss_mask: 0.7691, decode.d3.loss_dice: 1.2076, decode.d4.loss_cls: 0.8082, decode.d4.loss_mask: 0.7642, decode.d4.loss_dice: 1.2085, decode.d5.loss_cls: 0.7943, decode.d5.loss_mask: 0.7623, decode.d5.loss_dice: 1.2202, decode.d6.loss_cls: 0.7991, decode.d6.loss_mask: 0.7574, decode.d6.loss_dice: 1.1957, decode.d7.loss_cls: 0.7948, decode.d7.loss_mask: 0.7611, decode.d7.loss_dice: 1.2061, decode.d8.loss_cls: 0.7912, decode.d8.loss_mask: 0.7599, decode.d8.loss_dice: 1.2078, loss: 29.9387 2022-09-13 00:09:26,639 - mmseg - INFO - Iter [37500/80000] lr: 7.628e-07, eta: 22:49:24, time: 1.885, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7905, decode.loss_mask: 0.7880, decode.loss_dice: 1.1855, decode.d0.loss_cls: 2.6452, decode.d0.loss_mask: 0.7964, decode.d0.loss_dice: 1.3815, decode.d1.loss_cls: 0.8722, decode.d1.loss_mask: 0.8093, decode.d1.loss_dice: 1.2803, decode.d2.loss_cls: 0.8267, decode.d2.loss_mask: 0.7960, decode.d2.loss_dice: 1.2168, decode.d3.loss_cls: 0.8098, decode.d3.loss_mask: 0.7915, decode.d3.loss_dice: 1.2024, decode.d4.loss_cls: 0.8090, decode.d4.loss_mask: 0.7900, decode.d4.loss_dice: 1.2013, decode.d5.loss_cls: 0.8069, decode.d5.loss_mask: 0.7848, decode.d5.loss_dice: 1.1931, decode.d6.loss_cls: 0.7979, decode.d6.loss_mask: 0.7814, decode.d6.loss_dice: 1.1851, decode.d7.loss_cls: 0.7926, decode.d7.loss_mask: 0.7844, decode.d7.loss_dice: 1.1848, decode.d8.loss_cls: 0.7841, decode.d8.loss_mask: 0.7860, decode.d8.loss_dice: 1.1817, loss: 30.0550 2022-09-13 00:11:00,637 - mmseg - INFO - Iter [37550/80000] lr: 7.619e-07, eta: 22:47:45, time: 1.881, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7996, decode.loss_mask: 0.7831, decode.loss_dice: 1.1990, decode.d0.loss_cls: 2.6203, decode.d0.loss_mask: 0.7941, decode.d0.loss_dice: 1.4041, decode.d1.loss_cls: 0.9005, decode.d1.loss_mask: 0.8108, decode.d1.loss_dice: 1.2919, decode.d2.loss_cls: 0.8296, decode.d2.loss_mask: 0.7960, decode.d2.loss_dice: 1.2459, decode.d3.loss_cls: 0.8229, decode.d3.loss_mask: 0.7888, decode.d3.loss_dice: 1.2296, decode.d4.loss_cls: 0.8179, decode.d4.loss_mask: 0.7931, decode.d4.loss_dice: 1.2203, decode.d5.loss_cls: 0.8061, decode.d5.loss_mask: 0.7892, decode.d5.loss_dice: 1.2099, decode.d6.loss_cls: 0.8088, decode.d6.loss_mask: 0.7767, decode.d6.loss_dice: 1.1991, decode.d7.loss_cls: 0.8061, decode.d7.loss_mask: 0.7790, decode.d7.loss_dice: 1.1965, decode.d8.loss_cls: 0.8004, decode.d8.loss_mask: 0.7805, decode.d8.loss_dice: 1.2012, loss: 30.3011 2022-09-13 00:12:33,737 - mmseg - INFO - Iter [37600/80000] lr: 7.610e-07, eta: 22:46:04, time: 1.862, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8097, decode.loss_mask: 0.7595, decode.loss_dice: 1.1918, decode.d0.loss_cls: 2.6214, decode.d0.loss_mask: 0.7732, decode.d0.loss_dice: 1.3807, decode.d1.loss_cls: 0.8970, decode.d1.loss_mask: 0.7872, decode.d1.loss_dice: 1.2904, decode.d2.loss_cls: 0.8371, decode.d2.loss_mask: 0.7723, decode.d2.loss_dice: 1.2381, decode.d3.loss_cls: 0.8287, decode.d3.loss_mask: 0.7641, decode.d3.loss_dice: 1.2186, decode.d4.loss_cls: 0.8161, decode.d4.loss_mask: 0.7594, decode.d4.loss_dice: 1.2150, decode.d5.loss_cls: 0.8175, decode.d5.loss_mask: 0.7581, decode.d5.loss_dice: 1.2090, decode.d6.loss_cls: 0.8182, decode.d6.loss_mask: 0.7546, decode.d6.loss_dice: 1.1993, decode.d7.loss_cls: 0.8140, decode.d7.loss_mask: 0.7547, decode.d7.loss_dice: 1.1920, decode.d8.loss_cls: 0.8152, decode.d8.loss_mask: 0.7562, decode.d8.loss_dice: 1.1964, loss: 30.0456 2022-09-13 00:14:07,747 - mmseg - INFO - Iter [37650/80000] lr: 7.601e-07, eta: 22:44:25, time: 1.880, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8189, decode.loss_mask: 0.7514, decode.loss_dice: 1.2136, decode.d0.loss_cls: 2.6439, decode.d0.loss_mask: 0.7665, decode.d0.loss_dice: 1.4098, decode.d1.loss_cls: 0.8940, decode.d1.loss_mask: 0.7811, decode.d1.loss_dice: 1.3068, decode.d2.loss_cls: 0.8392, decode.d2.loss_mask: 0.7622, decode.d2.loss_dice: 1.2537, decode.d3.loss_cls: 0.8352, decode.d3.loss_mask: 0.7535, decode.d3.loss_dice: 1.2274, decode.d4.loss_cls: 0.8279, decode.d4.loss_mask: 0.7527, decode.d4.loss_dice: 1.2237, decode.d5.loss_cls: 0.8199, decode.d5.loss_mask: 0.7511, decode.d5.loss_dice: 1.2213, decode.d6.loss_cls: 0.8216, decode.d6.loss_mask: 0.7524, decode.d6.loss_dice: 1.2077, decode.d7.loss_cls: 0.8134, decode.d7.loss_mask: 0.7539, decode.d7.loss_dice: 1.2141, decode.d8.loss_cls: 0.8112, decode.d8.loss_mask: 0.7490, decode.d8.loss_dice: 1.2117, loss: 30.1889 2022-09-13 00:15:41,157 - mmseg - INFO - Iter [37700/80000] lr: 7.592e-07, eta: 22:42:44, time: 1.868, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7686, decode.loss_mask: 0.7688, decode.loss_dice: 1.1779, decode.d0.loss_cls: 2.6256, decode.d0.loss_mask: 0.7750, decode.d0.loss_dice: 1.3574, decode.d1.loss_cls: 0.8454, decode.d1.loss_mask: 0.7945, decode.d1.loss_dice: 1.2693, decode.d2.loss_cls: 0.7952, decode.d2.loss_mask: 0.7857, decode.d2.loss_dice: 1.2282, decode.d3.loss_cls: 0.7777, decode.d3.loss_mask: 0.7792, decode.d3.loss_dice: 1.2022, decode.d4.loss_cls: 0.7730, decode.d4.loss_mask: 0.7706, decode.d4.loss_dice: 1.1936, decode.d5.loss_cls: 0.7687, decode.d5.loss_mask: 0.7697, decode.d5.loss_dice: 1.1898, decode.d6.loss_cls: 0.7759, decode.d6.loss_mask: 0.7677, decode.d6.loss_dice: 1.1775, decode.d7.loss_cls: 0.7654, decode.d7.loss_mask: 0.7652, decode.d7.loss_dice: 1.1734, decode.d8.loss_cls: 0.7630, decode.d8.loss_mask: 0.7688, decode.d8.loss_dice: 1.1813, loss: 29.5543 2022-09-13 00:17:13,310 - mmseg - INFO - Iter [37750/80000] lr: 7.583e-07, eta: 22:41:03, time: 1.843, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8156, decode.loss_mask: 0.7632, decode.loss_dice: 1.1964, decode.d0.loss_cls: 2.6910, decode.d0.loss_mask: 0.7635, decode.d0.loss_dice: 1.3978, decode.d1.loss_cls: 0.8957, decode.d1.loss_mask: 0.7919, decode.d1.loss_dice: 1.2982, decode.d2.loss_cls: 0.8443, decode.d2.loss_mask: 0.7738, decode.d2.loss_dice: 1.2355, decode.d3.loss_cls: 0.8290, decode.d3.loss_mask: 0.7695, decode.d3.loss_dice: 1.2180, decode.d4.loss_cls: 0.8269, decode.d4.loss_mask: 0.7678, decode.d4.loss_dice: 1.2103, decode.d5.loss_cls: 0.8260, decode.d5.loss_mask: 0.7616, decode.d5.loss_dice: 1.2050, decode.d6.loss_cls: 0.8194, decode.d6.loss_mask: 0.7576, decode.d6.loss_dice: 1.1942, decode.d7.loss_cls: 0.8158, decode.d7.loss_mask: 0.7601, decode.d7.loss_dice: 1.1903, decode.d8.loss_cls: 0.8122, decode.d8.loss_mask: 0.7607, decode.d8.loss_dice: 1.1896, loss: 30.1812 2022-09-13 00:18:45,979 - mmseg - INFO - Iter [37800/80000] lr: 7.574e-07, eta: 22:39:22, time: 1.853, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7831, decode.loss_mask: 0.7824, decode.loss_dice: 1.1804, decode.d0.loss_cls: 2.5925, decode.d0.loss_mask: 0.7962, decode.d0.loss_dice: 1.3544, decode.d1.loss_cls: 0.8593, decode.d1.loss_mask: 0.8132, decode.d1.loss_dice: 1.2483, decode.d2.loss_cls: 0.8133, decode.d2.loss_mask: 0.7958, decode.d2.loss_dice: 1.2086, decode.d3.loss_cls: 0.8019, decode.d3.loss_mask: 0.7858, decode.d3.loss_dice: 1.1921, decode.d4.loss_cls: 0.7941, decode.d4.loss_mask: 0.7859, decode.d4.loss_dice: 1.1871, decode.d5.loss_cls: 0.7856, decode.d5.loss_mask: 0.7877, decode.d5.loss_dice: 1.1809, decode.d6.loss_cls: 0.7871, decode.d6.loss_mask: 0.7794, decode.d6.loss_dice: 1.1728, decode.d7.loss_cls: 0.7926, decode.d7.loss_mask: 0.7807, decode.d7.loss_dice: 1.1840, decode.d8.loss_cls: 0.7834, decode.d8.loss_mask: 0.7796, decode.d8.loss_dice: 1.1801, loss: 29.7682 2022-09-13 00:20:21,117 - mmseg - INFO - Iter [37850/80000] lr: 7.565e-07, eta: 22:37:43, time: 1.903, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7801, decode.loss_mask: 0.7664, decode.loss_dice: 1.1933, decode.d0.loss_cls: 2.6233, decode.d0.loss_mask: 0.7812, decode.d0.loss_dice: 1.3792, decode.d1.loss_cls: 0.8707, decode.d1.loss_mask: 0.8022, decode.d1.loss_dice: 1.2770, decode.d2.loss_cls: 0.8096, decode.d2.loss_mask: 0.7839, decode.d2.loss_dice: 1.2199, decode.d3.loss_cls: 0.8035, decode.d3.loss_mask: 0.7703, decode.d3.loss_dice: 1.2015, decode.d4.loss_cls: 0.7875, decode.d4.loss_mask: 0.7722, decode.d4.loss_dice: 1.2028, decode.d5.loss_cls: 0.7896, decode.d5.loss_mask: 0.7637, decode.d5.loss_dice: 1.1926, decode.d6.loss_cls: 0.7845, decode.d6.loss_mask: 0.7652, decode.d6.loss_dice: 1.1951, decode.d7.loss_cls: 0.7780, decode.d7.loss_mask: 0.7684, decode.d7.loss_dice: 1.1934, decode.d8.loss_cls: 0.7774, decode.d8.loss_mask: 0.7662, decode.d8.loss_dice: 1.1941, loss: 29.7929 2022-09-13 00:21:53,777 - mmseg - INFO - Iter [37900/80000] lr: 7.556e-07, eta: 22:36:02, time: 1.853, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7773, decode.loss_mask: 0.7724, decode.loss_dice: 1.1818, decode.d0.loss_cls: 2.5952, decode.d0.loss_mask: 0.7844, decode.d0.loss_dice: 1.3728, decode.d1.loss_cls: 0.8610, decode.d1.loss_mask: 0.8072, decode.d1.loss_dice: 1.2641, decode.d2.loss_cls: 0.8122, decode.d2.loss_mask: 0.7835, decode.d2.loss_dice: 1.2187, decode.d3.loss_cls: 0.7939, decode.d3.loss_mask: 0.7820, decode.d3.loss_dice: 1.1950, decode.d4.loss_cls: 0.7843, decode.d4.loss_mask: 0.7783, decode.d4.loss_dice: 1.1911, decode.d5.loss_cls: 0.7746, decode.d5.loss_mask: 0.7811, decode.d5.loss_dice: 1.1846, decode.d6.loss_cls: 0.7818, decode.d6.loss_mask: 0.7664, decode.d6.loss_dice: 1.1829, decode.d7.loss_cls: 0.7754, decode.d7.loss_mask: 0.7673, decode.d7.loss_dice: 1.1788, decode.d8.loss_cls: 0.7738, decode.d8.loss_mask: 0.7662, decode.d8.loss_dice: 1.1831, loss: 29.6710 2022-09-13 00:23:25,623 - mmseg - INFO - Iter [37950/80000] lr: 7.547e-07, eta: 22:34:20, time: 1.837, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7645, decode.loss_mask: 0.7569, decode.loss_dice: 1.1681, decode.d0.loss_cls: 2.6185, decode.d0.loss_mask: 0.7647, decode.d0.loss_dice: 1.3589, decode.d1.loss_cls: 0.8335, decode.d1.loss_mask: 0.7893, decode.d1.loss_dice: 1.2561, decode.d2.loss_cls: 0.7853, decode.d2.loss_mask: 0.7748, decode.d2.loss_dice: 1.2090, decode.d3.loss_cls: 0.7804, decode.d3.loss_mask: 0.7665, decode.d3.loss_dice: 1.1839, decode.d4.loss_cls: 0.7728, decode.d4.loss_mask: 0.7667, decode.d4.loss_dice: 1.1817, decode.d5.loss_cls: 0.7727, decode.d5.loss_mask: 0.7619, decode.d5.loss_dice: 1.1778, decode.d6.loss_cls: 0.7661, decode.d6.loss_mask: 0.7567, decode.d6.loss_dice: 1.1667, decode.d7.loss_cls: 0.7622, decode.d7.loss_mask: 0.7568, decode.d7.loss_dice: 1.1652, decode.d8.loss_cls: 0.7694, decode.d8.loss_mask: 0.7518, decode.d8.loss_dice: 1.1665, loss: 29.3058 2022-09-13 00:24:58,498 - mmseg - INFO - Saving checkpoint at 38000 iterations 2022-09-13 00:25:27,117 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 00:25:27,125 - mmseg - INFO - Iter [38000/80000] lr: 7.538e-07, eta: 22:33:11, time: 2.422, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7590, decode.loss_mask: 0.7881, decode.loss_dice: 1.1995, decode.d0.loss_cls: 2.5362, decode.d0.loss_mask: 0.7961, decode.d0.loss_dice: 1.3791, decode.d1.loss_cls: 0.8268, decode.d1.loss_mask: 0.8192, decode.d1.loss_dice: 1.2939, decode.d2.loss_cls: 0.7788, decode.d2.loss_mask: 0.8034, decode.d2.loss_dice: 1.2403, decode.d3.loss_cls: 0.7714, decode.d3.loss_mask: 0.7909, decode.d3.loss_dice: 1.2100, decode.d4.loss_cls: 0.7650, decode.d4.loss_mask: 0.7876, decode.d4.loss_dice: 1.2058, decode.d5.loss_cls: 0.7643, decode.d5.loss_mask: 0.7850, decode.d5.loss_dice: 1.2000, decode.d6.loss_cls: 0.7676, decode.d6.loss_mask: 0.7859, decode.d6.loss_dice: 1.1917, decode.d7.loss_cls: 0.7560, decode.d7.loss_mask: 0.7879, decode.d7.loss_dice: 1.1924, decode.d8.loss_cls: 0.7563, decode.d8.loss_mask: 0.7865, decode.d8.loss_dice: 1.1983, loss: 29.7233 2022-09-13 00:27:00,380 - mmseg - INFO - Iter [38050/80000] lr: 7.529e-07, eta: 22:31:31, time: 1.873, data_time: 0.023, memory: 42763, decode.loss_cls: 0.8154, decode.loss_mask: 0.7626, decode.loss_dice: 1.1988, decode.d0.loss_cls: 2.6806, decode.d0.loss_mask: 0.7773, decode.d0.loss_dice: 1.3919, decode.d1.loss_cls: 0.8893, decode.d1.loss_mask: 0.7898, decode.d1.loss_dice: 1.2957, decode.d2.loss_cls: 0.8333, decode.d2.loss_mask: 0.7798, decode.d2.loss_dice: 1.2409, decode.d3.loss_cls: 0.8240, decode.d3.loss_mask: 0.7675, decode.d3.loss_dice: 1.2218, decode.d4.loss_cls: 0.8164, decode.d4.loss_mask: 0.7693, decode.d4.loss_dice: 1.2203, decode.d5.loss_cls: 0.8151, decode.d5.loss_mask: 0.7671, decode.d5.loss_dice: 1.2157, decode.d6.loss_cls: 0.8140, decode.d6.loss_mask: 0.7662, decode.d6.loss_dice: 1.2012, decode.d7.loss_cls: 0.8106, decode.d7.loss_mask: 0.7674, decode.d7.loss_dice: 1.2073, decode.d8.loss_cls: 0.8078, decode.d8.loss_mask: 0.7648, decode.d8.loss_dice: 1.1992, loss: 30.2112 2022-09-13 00:28:32,468 - mmseg - INFO - Iter [38100/80000] lr: 7.520e-07, eta: 22:29:49, time: 1.842, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7746, decode.loss_mask: 0.7826, decode.loss_dice: 1.1941, decode.d0.loss_cls: 2.6159, decode.d0.loss_mask: 0.7776, decode.d0.loss_dice: 1.3705, decode.d1.loss_cls: 0.8476, decode.d1.loss_mask: 0.8083, decode.d1.loss_dice: 1.3007, decode.d2.loss_cls: 0.7966, decode.d2.loss_mask: 0.7979, decode.d2.loss_dice: 1.2387, decode.d3.loss_cls: 0.7911, decode.d3.loss_mask: 0.7906, decode.d3.loss_dice: 1.2142, decode.d4.loss_cls: 0.7886, decode.d4.loss_mask: 0.7824, decode.d4.loss_dice: 1.2106, decode.d5.loss_cls: 0.7822, decode.d5.loss_mask: 0.7802, decode.d5.loss_dice: 1.2111, decode.d6.loss_cls: 0.7822, decode.d6.loss_mask: 0.7812, decode.d6.loss_dice: 1.2022, decode.d7.loss_cls: 0.7791, decode.d7.loss_mask: 0.7760, decode.d7.loss_dice: 1.2028, decode.d8.loss_cls: 0.7744, decode.d8.loss_mask: 0.7836, decode.d8.loss_dice: 1.1983, loss: 29.9359 2022-09-13 00:30:04,864 - mmseg - INFO - Iter [38150/80000] lr: 7.511e-07, eta: 22:28:08, time: 1.848, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7744, decode.loss_mask: 0.7757, decode.loss_dice: 1.1823, decode.d0.loss_cls: 2.5983, decode.d0.loss_mask: 0.7723, decode.d0.loss_dice: 1.3668, decode.d1.loss_cls: 0.8512, decode.d1.loss_mask: 0.7954, decode.d1.loss_dice: 1.2795, decode.d2.loss_cls: 0.8004, decode.d2.loss_mask: 0.7884, decode.d2.loss_dice: 1.2191, decode.d3.loss_cls: 0.7883, decode.d3.loss_mask: 0.7842, decode.d3.loss_dice: 1.2011, decode.d4.loss_cls: 0.7878, decode.d4.loss_mask: 0.7816, decode.d4.loss_dice: 1.1933, decode.d5.loss_cls: 0.7839, decode.d5.loss_mask: 0.7746, decode.d5.loss_dice: 1.1935, decode.d6.loss_cls: 0.7802, decode.d6.loss_mask: 0.7773, decode.d6.loss_dice: 1.1836, decode.d7.loss_cls: 0.7792, decode.d7.loss_mask: 0.7768, decode.d7.loss_dice: 1.1880, decode.d8.loss_cls: 0.7782, decode.d8.loss_mask: 0.7748, decode.d8.loss_dice: 1.1817, loss: 29.7118 2022-09-13 00:31:38,236 - mmseg - INFO - Iter [38200/80000] lr: 7.502e-07, eta: 22:26:27, time: 1.867, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8054, decode.loss_mask: 0.7431, decode.loss_dice: 1.2187, decode.d0.loss_cls: 2.6499, decode.d0.loss_mask: 0.7607, decode.d0.loss_dice: 1.4099, decode.d1.loss_cls: 0.8873, decode.d1.loss_mask: 0.7807, decode.d1.loss_dice: 1.3101, decode.d2.loss_cls: 0.8290, decode.d2.loss_mask: 0.7605, decode.d2.loss_dice: 1.2579, decode.d3.loss_cls: 0.8286, decode.d3.loss_mask: 0.7516, decode.d3.loss_dice: 1.2351, decode.d4.loss_cls: 0.8225, decode.d4.loss_mask: 0.7491, decode.d4.loss_dice: 1.2343, decode.d5.loss_cls: 0.8117, decode.d5.loss_mask: 0.7505, decode.d5.loss_dice: 1.2330, decode.d6.loss_cls: 0.8151, decode.d6.loss_mask: 0.7439, decode.d6.loss_dice: 1.2199, decode.d7.loss_cls: 0.8142, decode.d7.loss_mask: 0.7434, decode.d7.loss_dice: 1.2170, decode.d8.loss_cls: 0.8064, decode.d8.loss_mask: 0.7468, decode.d8.loss_dice: 1.2127, loss: 30.1492 2022-09-13 00:33:10,670 - mmseg - INFO - Iter [38250/80000] lr: 7.493e-07, eta: 22:24:46, time: 1.849, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8138, decode.loss_mask: 0.7708, decode.loss_dice: 1.1891, decode.d0.loss_cls: 2.6288, decode.d0.loss_mask: 0.7782, decode.d0.loss_dice: 1.3850, decode.d1.loss_cls: 0.8882, decode.d1.loss_mask: 0.8052, decode.d1.loss_dice: 1.2853, decode.d2.loss_cls: 0.8392, decode.d2.loss_mask: 0.7866, decode.d2.loss_dice: 1.2310, decode.d3.loss_cls: 0.8336, decode.d3.loss_mask: 0.7821, decode.d3.loss_dice: 1.2102, decode.d4.loss_cls: 0.8249, decode.d4.loss_mask: 0.7781, decode.d4.loss_dice: 1.2042, decode.d5.loss_cls: 0.8157, decode.d5.loss_mask: 0.7707, decode.d5.loss_dice: 1.1953, decode.d6.loss_cls: 0.8177, decode.d6.loss_mask: 0.7683, decode.d6.loss_dice: 1.1883, decode.d7.loss_cls: 0.8165, decode.d7.loss_mask: 0.7658, decode.d7.loss_dice: 1.1827, decode.d8.loss_cls: 0.8092, decode.d8.loss_mask: 0.7728, decode.d8.loss_dice: 1.1886, loss: 30.1260 2022-09-13 00:34:43,219 - mmseg - INFO - Iter [38300/80000] lr: 7.484e-07, eta: 22:23:05, time: 1.849, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8238, decode.loss_mask: 0.7648, decode.loss_dice: 1.1786, decode.d0.loss_cls: 2.6541, decode.d0.loss_mask: 0.7728, decode.d0.loss_dice: 1.3717, decode.d1.loss_cls: 0.9002, decode.d1.loss_mask: 0.8050, decode.d1.loss_dice: 1.2736, decode.d2.loss_cls: 0.8414, decode.d2.loss_mask: 0.7860, decode.d2.loss_dice: 1.2222, decode.d3.loss_cls: 0.8308, decode.d3.loss_mask: 0.7735, decode.d3.loss_dice: 1.2007, decode.d4.loss_cls: 0.8240, decode.d4.loss_mask: 0.7728, decode.d4.loss_dice: 1.2029, decode.d5.loss_cls: 0.8214, decode.d5.loss_mask: 0.7744, decode.d5.loss_dice: 1.1945, decode.d6.loss_cls: 0.8162, decode.d6.loss_mask: 0.7719, decode.d6.loss_dice: 1.1815, decode.d7.loss_cls: 0.8202, decode.d7.loss_mask: 0.7725, decode.d7.loss_dice: 1.1814, decode.d8.loss_cls: 0.8199, decode.d8.loss_mask: 0.7674, decode.d8.loss_dice: 1.1840, loss: 30.1044 2022-09-13 00:36:16,154 - mmseg - INFO - Iter [38350/80000] lr: 7.475e-07, eta: 22:21:25, time: 1.860, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7713, decode.loss_mask: 0.7781, decode.loss_dice: 1.2143, decode.d0.loss_cls: 2.6050, decode.d0.loss_mask: 0.7854, decode.d0.loss_dice: 1.3801, decode.d1.loss_cls: 0.8533, decode.d1.loss_mask: 0.7962, decode.d1.loss_dice: 1.2955, decode.d2.loss_cls: 0.8021, decode.d2.loss_mask: 0.7841, decode.d2.loss_dice: 1.2460, decode.d3.loss_cls: 0.7885, decode.d3.loss_mask: 0.7763, decode.d3.loss_dice: 1.2184, decode.d4.loss_cls: 0.7770, decode.d4.loss_mask: 0.7774, decode.d4.loss_dice: 1.2200, decode.d5.loss_cls: 0.7817, decode.d5.loss_mask: 0.7778, decode.d5.loss_dice: 1.2184, decode.d6.loss_cls: 0.7746, decode.d6.loss_mask: 0.7728, decode.d6.loss_dice: 1.2145, decode.d7.loss_cls: 0.7735, decode.d7.loss_mask: 0.7741, decode.d7.loss_dice: 1.2099, decode.d8.loss_cls: 0.7684, decode.d8.loss_mask: 0.7788, decode.d8.loss_dice: 1.2147, loss: 29.9282 2022-09-13 00:37:49,619 - mmseg - INFO - Iter [38400/80000] lr: 7.466e-07, eta: 22:19:45, time: 1.869, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8005, decode.loss_mask: 0.7905, decode.loss_dice: 1.2159, decode.d0.loss_cls: 2.6346, decode.d0.loss_mask: 0.7923, decode.d0.loss_dice: 1.4034, decode.d1.loss_cls: 0.8737, decode.d1.loss_mask: 0.8107, decode.d1.loss_dice: 1.3086, decode.d2.loss_cls: 0.8249, decode.d2.loss_mask: 0.7979, decode.d2.loss_dice: 1.2563, decode.d3.loss_cls: 0.8140, decode.d3.loss_mask: 0.8001, decode.d3.loss_dice: 1.2348, decode.d4.loss_cls: 0.8060, decode.d4.loss_mask: 0.7985, decode.d4.loss_dice: 1.2314, decode.d5.loss_cls: 0.8056, decode.d5.loss_mask: 0.7994, decode.d5.loss_dice: 1.2244, decode.d6.loss_cls: 0.8061, decode.d6.loss_mask: 0.7936, decode.d6.loss_dice: 1.2170, decode.d7.loss_cls: 0.8016, decode.d7.loss_mask: 0.7907, decode.d7.loss_dice: 1.2192, decode.d8.loss_cls: 0.8013, decode.d8.loss_mask: 0.7902, decode.d8.loss_dice: 1.2164, loss: 30.4596 2022-09-13 00:39:21,798 - mmseg - INFO - Iter [38450/80000] lr: 7.457e-07, eta: 22:18:03, time: 1.844, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8330, decode.loss_mask: 0.7852, decode.loss_dice: 1.2218, decode.d0.loss_cls: 2.6749, decode.d0.loss_mask: 0.7936, decode.d0.loss_dice: 1.4133, decode.d1.loss_cls: 0.9059, decode.d1.loss_mask: 0.8179, decode.d1.loss_dice: 1.3127, decode.d2.loss_cls: 0.8528, decode.d2.loss_mask: 0.7979, decode.d2.loss_dice: 1.2689, decode.d3.loss_cls: 0.8413, decode.d3.loss_mask: 0.7864, decode.d3.loss_dice: 1.2435, decode.d4.loss_cls: 0.8391, decode.d4.loss_mask: 0.7836, decode.d4.loss_dice: 1.2416, decode.d5.loss_cls: 0.8349, decode.d5.loss_mask: 0.7878, decode.d5.loss_dice: 1.2446, decode.d6.loss_cls: 0.8361, decode.d6.loss_mask: 0.7826, decode.d6.loss_dice: 1.2328, decode.d7.loss_cls: 0.8374, decode.d7.loss_mask: 0.7854, decode.d7.loss_dice: 1.2283, decode.d8.loss_cls: 0.8328, decode.d8.loss_mask: 0.7828, decode.d8.loss_dice: 1.2220, loss: 30.8213 2022-09-13 00:40:55,199 - mmseg - INFO - Iter [38500/80000] lr: 7.448e-07, eta: 22:16:23, time: 1.868, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7902, decode.loss_mask: 0.7584, decode.loss_dice: 1.1607, decode.d0.loss_cls: 2.6416, decode.d0.loss_mask: 0.7651, decode.d0.loss_dice: 1.3616, decode.d1.loss_cls: 0.8567, decode.d1.loss_mask: 0.7907, decode.d1.loss_dice: 1.2579, decode.d2.loss_cls: 0.8094, decode.d2.loss_mask: 0.7723, decode.d2.loss_dice: 1.1982, decode.d3.loss_cls: 0.7944, decode.d3.loss_mask: 0.7692, decode.d3.loss_dice: 1.1828, decode.d4.loss_cls: 0.7880, decode.d4.loss_mask: 0.7653, decode.d4.loss_dice: 1.1834, decode.d5.loss_cls: 0.7865, decode.d5.loss_mask: 0.7671, decode.d5.loss_dice: 1.1822, decode.d6.loss_cls: 0.7880, decode.d6.loss_mask: 0.7622, decode.d6.loss_dice: 1.1648, decode.d7.loss_cls: 0.7898, decode.d7.loss_mask: 0.7581, decode.d7.loss_dice: 1.1637, decode.d8.loss_cls: 0.7872, decode.d8.loss_mask: 0.7585, decode.d8.loss_dice: 1.1672, loss: 29.5213 2022-09-13 00:42:27,951 - mmseg - INFO - Iter [38550/80000] lr: 7.439e-07, eta: 22:14:42, time: 1.855, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8127, decode.loss_mask: 0.7789, decode.loss_dice: 1.1984, decode.d0.loss_cls: 2.6591, decode.d0.loss_mask: 0.7873, decode.d0.loss_dice: 1.3747, decode.d1.loss_cls: 0.8772, decode.d1.loss_mask: 0.8065, decode.d1.loss_dice: 1.2941, decode.d2.loss_cls: 0.8254, decode.d2.loss_mask: 0.7890, decode.d2.loss_dice: 1.2423, decode.d3.loss_cls: 0.8146, decode.d3.loss_mask: 0.7828, decode.d3.loss_dice: 1.2235, decode.d4.loss_cls: 0.8180, decode.d4.loss_mask: 0.7733, decode.d4.loss_dice: 1.2176, decode.d5.loss_cls: 0.8177, decode.d5.loss_mask: 0.7716, decode.d5.loss_dice: 1.2163, decode.d6.loss_cls: 0.8188, decode.d6.loss_mask: 0.7711, decode.d6.loss_dice: 1.2014, decode.d7.loss_cls: 0.8087, decode.d7.loss_mask: 0.7726, decode.d7.loss_dice: 1.1977, decode.d8.loss_cls: 0.8079, decode.d8.loss_mask: 0.7721, decode.d8.loss_dice: 1.2023, loss: 30.2334 2022-09-13 00:44:01,041 - mmseg - INFO - Iter [38600/80000] lr: 7.430e-07, eta: 22:13:02, time: 1.862, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7950, decode.loss_mask: 0.7687, decode.loss_dice: 1.1894, decode.d0.loss_cls: 2.6080, decode.d0.loss_mask: 0.7835, decode.d0.loss_dice: 1.3847, decode.d1.loss_cls: 0.8625, decode.d1.loss_mask: 0.7970, decode.d1.loss_dice: 1.2826, decode.d2.loss_cls: 0.8172, decode.d2.loss_mask: 0.7797, decode.d2.loss_dice: 1.2273, decode.d3.loss_cls: 0.8091, decode.d3.loss_mask: 0.7763, decode.d3.loss_dice: 1.2028, decode.d4.loss_cls: 0.8084, decode.d4.loss_mask: 0.7728, decode.d4.loss_dice: 1.1954, decode.d5.loss_cls: 0.7970, decode.d5.loss_mask: 0.7741, decode.d5.loss_dice: 1.1943, decode.d6.loss_cls: 0.8042, decode.d6.loss_mask: 0.7697, decode.d6.loss_dice: 1.1825, decode.d7.loss_cls: 0.7931, decode.d7.loss_mask: 0.7695, decode.d7.loss_dice: 1.1825, decode.d8.loss_cls: 0.7982, decode.d8.loss_mask: 0.7659, decode.d8.loss_dice: 1.1883, loss: 29.8798 2022-09-13 00:45:33,182 - mmseg - INFO - Iter [38650/80000] lr: 7.421e-07, eta: 22:11:21, time: 1.843, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7975, decode.loss_mask: 0.7711, decode.loss_dice: 1.2032, decode.d0.loss_cls: 2.6286, decode.d0.loss_mask: 0.7755, decode.d0.loss_dice: 1.3837, decode.d1.loss_cls: 0.8771, decode.d1.loss_mask: 0.7961, decode.d1.loss_dice: 1.2909, decode.d2.loss_cls: 0.8216, decode.d2.loss_mask: 0.7798, decode.d2.loss_dice: 1.2322, decode.d3.loss_cls: 0.8180, decode.d3.loss_mask: 0.7766, decode.d3.loss_dice: 1.2199, decode.d4.loss_cls: 0.8052, decode.d4.loss_mask: 0.7721, decode.d4.loss_dice: 1.2169, decode.d5.loss_cls: 0.8041, decode.d5.loss_mask: 0.7705, decode.d5.loss_dice: 1.2136, decode.d6.loss_cls: 0.8033, decode.d6.loss_mask: 0.7714, decode.d6.loss_dice: 1.2026, decode.d7.loss_cls: 0.7988, decode.d7.loss_mask: 0.7719, decode.d7.loss_dice: 1.2110, decode.d8.loss_cls: 0.7975, decode.d8.loss_mask: 0.7696, decode.d8.loss_dice: 1.2025, loss: 30.0826 2022-09-13 00:47:05,957 - mmseg - INFO - Iter [38700/80000] lr: 7.412e-07, eta: 22:09:40, time: 1.855, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8081, decode.loss_mask: 0.7913, decode.loss_dice: 1.2234, decode.d0.loss_cls: 2.6044, decode.d0.loss_mask: 0.7941, decode.d0.loss_dice: 1.4029, decode.d1.loss_cls: 0.9026, decode.d1.loss_mask: 0.8144, decode.d1.loss_dice: 1.3139, decode.d2.loss_cls: 0.8386, decode.d2.loss_mask: 0.8028, decode.d2.loss_dice: 1.2667, decode.d3.loss_cls: 0.8316, decode.d3.loss_mask: 0.7946, decode.d3.loss_dice: 1.2313, decode.d4.loss_cls: 0.8245, decode.d4.loss_mask: 0.7919, decode.d4.loss_dice: 1.2303, decode.d5.loss_cls: 0.8176, decode.d5.loss_mask: 0.7894, decode.d5.loss_dice: 1.2298, decode.d6.loss_cls: 0.8106, decode.d6.loss_mask: 0.7883, decode.d6.loss_dice: 1.2223, decode.d7.loss_cls: 0.8094, decode.d7.loss_mask: 0.7870, decode.d7.loss_dice: 1.2284, decode.d8.loss_cls: 0.8100, decode.d8.loss_mask: 0.7863, decode.d8.loss_dice: 1.2205, loss: 30.5672 2022-09-13 00:48:38,681 - mmseg - INFO - Iter [38750/80000] lr: 7.404e-07, eta: 22:07:59, time: 1.855, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7986, decode.loss_mask: 0.7736, decode.loss_dice: 1.1916, decode.d0.loss_cls: 2.5964, decode.d0.loss_mask: 0.7824, decode.d0.loss_dice: 1.3981, decode.d1.loss_cls: 0.8846, decode.d1.loss_mask: 0.8058, decode.d1.loss_dice: 1.2885, decode.d2.loss_cls: 0.8312, decode.d2.loss_mask: 0.7880, decode.d2.loss_dice: 1.2299, decode.d3.loss_cls: 0.8229, decode.d3.loss_mask: 0.7806, decode.d3.loss_dice: 1.2194, decode.d4.loss_cls: 0.8148, decode.d4.loss_mask: 0.7821, decode.d4.loss_dice: 1.2107, decode.d5.loss_cls: 0.8057, decode.d5.loss_mask: 0.7810, decode.d5.loss_dice: 1.2062, decode.d6.loss_cls: 0.7990, decode.d6.loss_mask: 0.7785, decode.d6.loss_dice: 1.1946, decode.d7.loss_cls: 0.7945, decode.d7.loss_mask: 0.7805, decode.d7.loss_dice: 1.1937, decode.d8.loss_cls: 0.7962, decode.d8.loss_mask: 0.7828, decode.d8.loss_dice: 1.1990, loss: 30.1110 2022-09-13 00:50:12,007 - mmseg - INFO - Iter [38800/80000] lr: 7.395e-07, eta: 22:06:19, time: 1.867, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7926, decode.loss_mask: 0.7564, decode.loss_dice: 1.1877, decode.d0.loss_cls: 2.6001, decode.d0.loss_mask: 0.7696, decode.d0.loss_dice: 1.3788, decode.d1.loss_cls: 0.8702, decode.d1.loss_mask: 0.7946, decode.d1.loss_dice: 1.2814, decode.d2.loss_cls: 0.8224, decode.d2.loss_mask: 0.7830, decode.d2.loss_dice: 1.2306, decode.d3.loss_cls: 0.8144, decode.d3.loss_mask: 0.7691, decode.d3.loss_dice: 1.2097, decode.d4.loss_cls: 0.8014, decode.d4.loss_mask: 0.7669, decode.d4.loss_dice: 1.2049, decode.d5.loss_cls: 0.7989, decode.d5.loss_mask: 0.7602, decode.d5.loss_dice: 1.2006, decode.d6.loss_cls: 0.7928, decode.d6.loss_mask: 0.7591, decode.d6.loss_dice: 1.1923, decode.d7.loss_cls: 0.7958, decode.d7.loss_mask: 0.7566, decode.d7.loss_dice: 1.1832, decode.d8.loss_cls: 0.7901, decode.d8.loss_mask: 0.7574, decode.d8.loss_dice: 1.1857, loss: 29.8065 2022-09-13 00:51:45,138 - mmseg - INFO - Iter [38850/80000] lr: 7.386e-07, eta: 22:04:39, time: 1.861, data_time: 0.017, memory: 42763, decode.loss_cls: 0.8000, decode.loss_mask: 0.7627, decode.loss_dice: 1.1497, decode.d0.loss_cls: 2.6396, decode.d0.loss_mask: 0.7691, decode.d0.loss_dice: 1.3415, decode.d1.loss_cls: 0.8734, decode.d1.loss_mask: 0.7874, decode.d1.loss_dice: 1.2372, decode.d2.loss_cls: 0.8222, decode.d2.loss_mask: 0.7712, decode.d2.loss_dice: 1.1896, decode.d3.loss_cls: 0.8157, decode.d3.loss_mask: 0.7668, decode.d3.loss_dice: 1.1677, decode.d4.loss_cls: 0.8113, decode.d4.loss_mask: 0.7639, decode.d4.loss_dice: 1.1665, decode.d5.loss_cls: 0.8111, decode.d5.loss_mask: 0.7649, decode.d5.loss_dice: 1.1607, decode.d6.loss_cls: 0.8024, decode.d6.loss_mask: 0.7621, decode.d6.loss_dice: 1.1495, decode.d7.loss_cls: 0.7994, decode.d7.loss_mask: 0.7641, decode.d7.loss_dice: 1.1502, decode.d8.loss_cls: 0.7981, decode.d8.loss_mask: 0.7598, decode.d8.loss_dice: 1.1469, loss: 29.5047 2022-09-13 00:53:18,499 - mmseg - INFO - Iter [38900/80000] lr: 7.377e-07, eta: 22:02:59, time: 1.869, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7616, decode.loss_mask: 0.7616, decode.loss_dice: 1.1881, decode.d0.loss_cls: 2.5937, decode.d0.loss_mask: 0.7704, decode.d0.loss_dice: 1.3769, decode.d1.loss_cls: 0.8347, decode.d1.loss_mask: 0.7959, decode.d1.loss_dice: 1.2887, decode.d2.loss_cls: 0.7949, decode.d2.loss_mask: 0.7830, decode.d2.loss_dice: 1.2243, decode.d3.loss_cls: 0.7796, decode.d3.loss_mask: 0.7710, decode.d3.loss_dice: 1.2054, decode.d4.loss_cls: 0.7799, decode.d4.loss_mask: 0.7705, decode.d4.loss_dice: 1.2042, decode.d5.loss_cls: 0.7749, decode.d5.loss_mask: 0.7673, decode.d5.loss_dice: 1.1985, decode.d6.loss_cls: 0.7759, decode.d6.loss_mask: 0.7605, decode.d6.loss_dice: 1.1834, decode.d7.loss_cls: 0.7685, decode.d7.loss_mask: 0.7639, decode.d7.loss_dice: 1.1891, decode.d8.loss_cls: 0.7669, decode.d8.loss_mask: 0.7632, decode.d8.loss_dice: 1.1942, loss: 29.5906 2022-09-13 00:54:51,661 - mmseg - INFO - Iter [38950/80000] lr: 7.368e-07, eta: 22:01:19, time: 1.864, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7896, decode.loss_mask: 0.7613, decode.loss_dice: 1.1921, decode.d0.loss_cls: 2.6393, decode.d0.loss_mask: 0.7766, decode.d0.loss_dice: 1.3757, decode.d1.loss_cls: 0.8744, decode.d1.loss_mask: 0.7926, decode.d1.loss_dice: 1.2866, decode.d2.loss_cls: 0.8230, decode.d2.loss_mask: 0.7742, decode.d2.loss_dice: 1.2325, decode.d3.loss_cls: 0.8081, decode.d3.loss_mask: 0.7685, decode.d3.loss_dice: 1.2146, decode.d4.loss_cls: 0.8033, decode.d4.loss_mask: 0.7685, decode.d4.loss_dice: 1.2105, decode.d5.loss_cls: 0.7984, decode.d5.loss_mask: 0.7681, decode.d5.loss_dice: 1.2039, decode.d6.loss_cls: 0.8005, decode.d6.loss_mask: 0.7618, decode.d6.loss_dice: 1.1957, decode.d7.loss_cls: 0.7957, decode.d7.loss_mask: 0.7603, decode.d7.loss_dice: 1.1931, decode.d8.loss_cls: 0.7886, decode.d8.loss_mask: 0.7623, decode.d8.loss_dice: 1.1906, loss: 29.9102 2022-09-13 00:56:24,098 - mmseg - INFO - Saving checkpoint at 39000 iterations 2022-09-13 00:56:55,896 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 00:56:55,899 - mmseg - INFO - Iter [39000/80000] lr: 7.359e-07, eta: 22:00:11, time: 2.483, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8204, decode.loss_mask: 0.7586, decode.loss_dice: 1.1942, decode.d0.loss_cls: 2.6817, decode.d0.loss_mask: 0.7659, decode.d0.loss_dice: 1.3851, decode.d1.loss_cls: 0.8957, decode.d1.loss_mask: 0.7894, decode.d1.loss_dice: 1.2909, decode.d2.loss_cls: 0.8384, decode.d2.loss_mask: 0.7765, decode.d2.loss_dice: 1.2420, decode.d3.loss_cls: 0.8295, decode.d3.loss_mask: 0.7705, decode.d3.loss_dice: 1.2188, decode.d4.loss_cls: 0.8259, decode.d4.loss_mask: 0.7619, decode.d4.loss_dice: 1.2086, decode.d5.loss_cls: 0.8171, decode.d5.loss_mask: 0.7597, decode.d5.loss_dice: 1.2072, decode.d6.loss_cls: 0.8256, decode.d6.loss_mask: 0.7524, decode.d6.loss_dice: 1.1903, decode.d7.loss_cls: 0.8143, decode.d7.loss_mask: 0.7534, decode.d7.loss_dice: 1.1949, decode.d8.loss_cls: 0.8214, decode.d8.loss_mask: 0.7534, decode.d8.loss_dice: 1.1975, loss: 30.1416 2022-09-13 00:58:29,324 - mmseg - INFO - Iter [39050/80000] lr: 7.350e-07, eta: 21:58:31, time: 1.871, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7533, decode.loss_mask: 0.7664, decode.loss_dice: 1.1443, decode.d0.loss_cls: 2.5209, decode.d0.loss_mask: 0.7737, decode.d0.loss_dice: 1.3292, decode.d1.loss_cls: 0.8333, decode.d1.loss_mask: 0.7916, decode.d1.loss_dice: 1.2340, decode.d2.loss_cls: 0.7813, decode.d2.loss_mask: 0.7685, decode.d2.loss_dice: 1.1871, decode.d3.loss_cls: 0.7706, decode.d3.loss_mask: 0.7661, decode.d3.loss_dice: 1.1643, decode.d4.loss_cls: 0.7689, decode.d4.loss_mask: 0.7724, decode.d4.loss_dice: 1.1623, decode.d5.loss_cls: 0.7627, decode.d5.loss_mask: 0.7691, decode.d5.loss_dice: 1.1598, decode.d6.loss_cls: 0.7591, decode.d6.loss_mask: 0.7693, decode.d6.loss_dice: 1.1548, decode.d7.loss_cls: 0.7602, decode.d7.loss_mask: 0.7677, decode.d7.loss_dice: 1.1512, decode.d8.loss_cls: 0.7549, decode.d8.loss_mask: 0.7619, decode.d8.loss_dice: 1.1505, loss: 29.0095 2022-09-13 01:00:02,947 - mmseg - INFO - Iter [39100/80000] lr: 7.341e-07, eta: 21:56:52, time: 1.872, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7967, decode.loss_mask: 0.7660, decode.loss_dice: 1.1987, decode.d0.loss_cls: 2.6543, decode.d0.loss_mask: 0.7763, decode.d0.loss_dice: 1.3829, decode.d1.loss_cls: 0.8747, decode.d1.loss_mask: 0.8008, decode.d1.loss_dice: 1.2845, decode.d2.loss_cls: 0.8266, decode.d2.loss_mask: 0.7852, decode.d2.loss_dice: 1.2382, decode.d3.loss_cls: 0.8149, decode.d3.loss_mask: 0.7808, decode.d3.loss_dice: 1.2143, decode.d4.loss_cls: 0.8141, decode.d4.loss_mask: 0.7739, decode.d4.loss_dice: 1.2167, decode.d5.loss_cls: 0.8017, decode.d5.loss_mask: 0.7707, decode.d5.loss_dice: 1.2071, decode.d6.loss_cls: 0.8016, decode.d6.loss_mask: 0.7678, decode.d6.loss_dice: 1.1951, decode.d7.loss_cls: 0.7998, decode.d7.loss_mask: 0.7647, decode.d7.loss_dice: 1.1971, decode.d8.loss_cls: 0.7911, decode.d8.loss_mask: 0.7668, decode.d8.loss_dice: 1.1982, loss: 30.0613 2022-09-13 01:01:35,512 - mmseg - INFO - Iter [39150/80000] lr: 7.332e-07, eta: 21:55:11, time: 1.851, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8300, decode.loss_mask: 0.7621, decode.loss_dice: 1.1976, decode.d0.loss_cls: 2.6725, decode.d0.loss_mask: 0.7769, decode.d0.loss_dice: 1.4046, decode.d1.loss_cls: 0.9210, decode.d1.loss_mask: 0.7867, decode.d1.loss_dice: 1.2891, decode.d2.loss_cls: 0.8697, decode.d2.loss_mask: 0.7790, decode.d2.loss_dice: 1.2455, decode.d3.loss_cls: 0.8496, decode.d3.loss_mask: 0.7704, decode.d3.loss_dice: 1.2254, decode.d4.loss_cls: 0.8480, decode.d4.loss_mask: 0.7631, decode.d4.loss_dice: 1.2150, decode.d5.loss_cls: 0.8421, decode.d5.loss_mask: 0.7644, decode.d5.loss_dice: 1.2127, decode.d6.loss_cls: 0.8390, decode.d6.loss_mask: 0.7617, decode.d6.loss_dice: 1.1988, decode.d7.loss_cls: 0.8332, decode.d7.loss_mask: 0.7593, decode.d7.loss_dice: 1.1993, decode.d8.loss_cls: 0.8387, decode.d8.loss_mask: 0.7612, decode.d8.loss_dice: 1.1954, loss: 30.4123 2022-09-13 01:03:08,571 - mmseg - INFO - Iter [39200/80000] lr: 7.323e-07, eta: 21:53:31, time: 1.861, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7795, decode.loss_mask: 0.7735, decode.loss_dice: 1.2053, decode.d0.loss_cls: 2.6462, decode.d0.loss_mask: 0.7857, decode.d0.loss_dice: 1.4082, decode.d1.loss_cls: 0.8695, decode.d1.loss_mask: 0.7957, decode.d1.loss_dice: 1.2947, decode.d2.loss_cls: 0.8104, decode.d2.loss_mask: 0.7844, decode.d2.loss_dice: 1.2552, decode.d3.loss_cls: 0.8010, decode.d3.loss_mask: 0.7763, decode.d3.loss_dice: 1.2328, decode.d4.loss_cls: 0.7949, decode.d4.loss_mask: 0.7750, decode.d4.loss_dice: 1.2231, decode.d5.loss_cls: 0.7902, decode.d5.loss_mask: 0.7693, decode.d5.loss_dice: 1.2211, decode.d6.loss_cls: 0.7852, decode.d6.loss_mask: 0.7702, decode.d6.loss_dice: 1.2076, decode.d7.loss_cls: 0.7885, decode.d7.loss_mask: 0.7682, decode.d7.loss_dice: 1.2136, decode.d8.loss_cls: 0.7852, decode.d8.loss_mask: 0.7707, decode.d8.loss_dice: 1.2072, loss: 30.0884 2022-09-13 01:04:41,439 - mmseg - INFO - Iter [39250/80000] lr: 7.314e-07, eta: 21:51:50, time: 1.857, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8191, decode.loss_mask: 0.7907, decode.loss_dice: 1.1885, decode.d0.loss_cls: 2.6614, decode.d0.loss_mask: 0.8007, decode.d0.loss_dice: 1.3822, decode.d1.loss_cls: 0.8939, decode.d1.loss_mask: 0.8196, decode.d1.loss_dice: 1.2819, decode.d2.loss_cls: 0.8359, decode.d2.loss_mask: 0.8044, decode.d2.loss_dice: 1.2271, decode.d3.loss_cls: 0.8450, decode.d3.loss_mask: 0.7965, decode.d3.loss_dice: 1.2075, decode.d4.loss_cls: 0.8342, decode.d4.loss_mask: 0.7960, decode.d4.loss_dice: 1.2077, decode.d5.loss_cls: 0.8274, decode.d5.loss_mask: 0.7878, decode.d5.loss_dice: 1.2000, decode.d6.loss_cls: 0.8210, decode.d6.loss_mask: 0.7871, decode.d6.loss_dice: 1.1927, decode.d7.loss_cls: 0.8229, decode.d7.loss_mask: 0.7857, decode.d7.loss_dice: 1.1907, decode.d8.loss_cls: 0.8123, decode.d8.loss_mask: 0.7929, decode.d8.loss_dice: 1.1946, loss: 30.4075 2022-09-13 01:06:14,138 - mmseg - INFO - Iter [39300/80000] lr: 7.305e-07, eta: 21:50:09, time: 1.852, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8023, decode.loss_mask: 0.7471, decode.loss_dice: 1.1816, decode.d0.loss_cls: 2.6269, decode.d0.loss_mask: 0.7649, decode.d0.loss_dice: 1.3794, decode.d1.loss_cls: 0.8841, decode.d1.loss_mask: 0.7741, decode.d1.loss_dice: 1.2728, decode.d2.loss_cls: 0.8234, decode.d2.loss_mask: 0.7638, decode.d2.loss_dice: 1.2160, decode.d3.loss_cls: 0.8151, decode.d3.loss_mask: 0.7527, decode.d3.loss_dice: 1.1964, decode.d4.loss_cls: 0.8078, decode.d4.loss_mask: 0.7518, decode.d4.loss_dice: 1.1928, decode.d5.loss_cls: 0.8067, decode.d5.loss_mask: 0.7508, decode.d5.loss_dice: 1.1864, decode.d6.loss_cls: 0.8019, decode.d6.loss_mask: 0.7501, decode.d6.loss_dice: 1.1771, decode.d7.loss_cls: 0.8040, decode.d7.loss_mask: 0.7527, decode.d7.loss_dice: 1.1780, decode.d8.loss_cls: 0.7972, decode.d8.loss_mask: 0.7483, decode.d8.loss_dice: 1.1846, loss: 29.6906 2022-09-13 01:07:47,481 - mmseg - INFO - Iter [39350/80000] lr: 7.296e-07, eta: 21:48:30, time: 1.869, data_time: 0.017, memory: 42763, decode.loss_cls: 0.8113, decode.loss_mask: 0.7922, decode.loss_dice: 1.2377, decode.d0.loss_cls: 2.6576, decode.d0.loss_mask: 0.8078, decode.d0.loss_dice: 1.4331, decode.d1.loss_cls: 0.8871, decode.d1.loss_mask: 0.8241, decode.d1.loss_dice: 1.3372, decode.d2.loss_cls: 0.8363, decode.d2.loss_mask: 0.8091, decode.d2.loss_dice: 1.2850, decode.d3.loss_cls: 0.8294, decode.d3.loss_mask: 0.8051, decode.d3.loss_dice: 1.2594, decode.d4.loss_cls: 0.8205, decode.d4.loss_mask: 0.7982, decode.d4.loss_dice: 1.2542, decode.d5.loss_cls: 0.8213, decode.d5.loss_mask: 0.7996, decode.d5.loss_dice: 1.2414, decode.d6.loss_cls: 0.8206, decode.d6.loss_mask: 0.7963, decode.d6.loss_dice: 1.2350, decode.d7.loss_cls: 0.8151, decode.d7.loss_mask: 0.7938, decode.d7.loss_dice: 1.2396, decode.d8.loss_cls: 0.8087, decode.d8.loss_mask: 0.7997, decode.d8.loss_dice: 1.2364, loss: 30.8927 2022-09-13 01:09:21,453 - mmseg - INFO - Iter [39400/80000] lr: 7.287e-07, eta: 21:46:50, time: 1.879, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7574, decode.loss_mask: 0.7739, decode.loss_dice: 1.1557, decode.d0.loss_cls: 2.5929, decode.d0.loss_mask: 0.7766, decode.d0.loss_dice: 1.3456, decode.d1.loss_cls: 0.8444, decode.d1.loss_mask: 0.7993, decode.d1.loss_dice: 1.2600, decode.d2.loss_cls: 0.7877, decode.d2.loss_mask: 0.7822, decode.d2.loss_dice: 1.2005, decode.d3.loss_cls: 0.7775, decode.d3.loss_mask: 0.7771, decode.d3.loss_dice: 1.1656, decode.d4.loss_cls: 0.7694, decode.d4.loss_mask: 0.7767, decode.d4.loss_dice: 1.1662, decode.d5.loss_cls: 0.7616, decode.d5.loss_mask: 0.7768, decode.d5.loss_dice: 1.1674, decode.d6.loss_cls: 0.7633, decode.d6.loss_mask: 0.7697, decode.d6.loss_dice: 1.1531, decode.d7.loss_cls: 0.7507, decode.d7.loss_mask: 0.7712, decode.d7.loss_dice: 1.1595, decode.d8.loss_cls: 0.7526, decode.d8.loss_mask: 0.7716, decode.d8.loss_dice: 1.1612, loss: 29.2672 2022-09-13 01:10:53,920 - mmseg - INFO - Iter [39450/80000] lr: 7.278e-07, eta: 21:45:10, time: 1.849, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7599, decode.loss_mask: 0.7482, decode.loss_dice: 1.1721, decode.d0.loss_cls: 2.5606, decode.d0.loss_mask: 0.7569, decode.d0.loss_dice: 1.3564, decode.d1.loss_cls: 0.8337, decode.d1.loss_mask: 0.7760, decode.d1.loss_dice: 1.2628, decode.d2.loss_cls: 0.7787, decode.d2.loss_mask: 0.7698, decode.d2.loss_dice: 1.2173, decode.d3.loss_cls: 0.7746, decode.d3.loss_mask: 0.7573, decode.d3.loss_dice: 1.1909, decode.d4.loss_cls: 0.7760, decode.d4.loss_mask: 0.7495, decode.d4.loss_dice: 1.1883, decode.d5.loss_cls: 0.7686, decode.d5.loss_mask: 0.7511, decode.d5.loss_dice: 1.1831, decode.d6.loss_cls: 0.7602, decode.d6.loss_mask: 0.7535, decode.d6.loss_dice: 1.1725, decode.d7.loss_cls: 0.7638, decode.d7.loss_mask: 0.7502, decode.d7.loss_dice: 1.1762, decode.d8.loss_cls: 0.7553, decode.d8.loss_mask: 0.7473, decode.d8.loss_dice: 1.1687, loss: 29.1798 2022-09-13 01:12:26,186 - mmseg - INFO - Iter [39500/80000] lr: 7.269e-07, eta: 21:43:29, time: 1.845, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7845, decode.loss_mask: 0.7700, decode.loss_dice: 1.2009, decode.d0.loss_cls: 2.5951, decode.d0.loss_mask: 0.7752, decode.d0.loss_dice: 1.3907, decode.d1.loss_cls: 0.8646, decode.d1.loss_mask: 0.8012, decode.d1.loss_dice: 1.2904, decode.d2.loss_cls: 0.8157, decode.d2.loss_mask: 0.7810, decode.d2.loss_dice: 1.2488, decode.d3.loss_cls: 0.7955, decode.d3.loss_mask: 0.7760, decode.d3.loss_dice: 1.2269, decode.d4.loss_cls: 0.7938, decode.d4.loss_mask: 0.7768, decode.d4.loss_dice: 1.2234, decode.d5.loss_cls: 0.7895, decode.d5.loss_mask: 0.7745, decode.d5.loss_dice: 1.2101, decode.d6.loss_cls: 0.7783, decode.d6.loss_mask: 0.7740, decode.d6.loss_dice: 1.2041, decode.d7.loss_cls: 0.7805, decode.d7.loss_mask: 0.7732, decode.d7.loss_dice: 1.2069, decode.d8.loss_cls: 0.7883, decode.d8.loss_mask: 0.7711, decode.d8.loss_dice: 1.2003, loss: 29.9613 2022-09-13 01:13:59,635 - mmseg - INFO - Iter [39550/80000] lr: 7.260e-07, eta: 21:41:49, time: 1.869, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8058, decode.loss_mask: 0.7589, decode.loss_dice: 1.1672, decode.d0.loss_cls: 2.6481, decode.d0.loss_mask: 0.7679, decode.d0.loss_dice: 1.3672, decode.d1.loss_cls: 0.8778, decode.d1.loss_mask: 0.7980, decode.d1.loss_dice: 1.2704, decode.d2.loss_cls: 0.8351, decode.d2.loss_mask: 0.7826, decode.d2.loss_dice: 1.2174, decode.d3.loss_cls: 0.8255, decode.d3.loss_mask: 0.7690, decode.d3.loss_dice: 1.1863, decode.d4.loss_cls: 0.8120, decode.d4.loss_mask: 0.7678, decode.d4.loss_dice: 1.1833, decode.d5.loss_cls: 0.8030, decode.d5.loss_mask: 0.7635, decode.d5.loss_dice: 1.1847, decode.d6.loss_cls: 0.8013, decode.d6.loss_mask: 0.7630, decode.d6.loss_dice: 1.1732, decode.d7.loss_cls: 0.8039, decode.d7.loss_mask: 0.7618, decode.d7.loss_dice: 1.1749, decode.d8.loss_cls: 0.8021, decode.d8.loss_mask: 0.7602, decode.d8.loss_dice: 1.1712, loss: 29.8032 2022-09-13 01:15:33,381 - mmseg - INFO - Iter [39600/80000] lr: 7.251e-07, eta: 21:40:10, time: 1.875, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8059, decode.loss_mask: 0.7704, decode.loss_dice: 1.1927, decode.d0.loss_cls: 2.6171, decode.d0.loss_mask: 0.7870, decode.d0.loss_dice: 1.3904, decode.d1.loss_cls: 0.8801, decode.d1.loss_mask: 0.8037, decode.d1.loss_dice: 1.2881, decode.d2.loss_cls: 0.8256, decode.d2.loss_mask: 0.7866, decode.d2.loss_dice: 1.2416, decode.d3.loss_cls: 0.8202, decode.d3.loss_mask: 0.7793, decode.d3.loss_dice: 1.2102, decode.d4.loss_cls: 0.8129, decode.d4.loss_mask: 0.7770, decode.d4.loss_dice: 1.2106, decode.d5.loss_cls: 0.8030, decode.d5.loss_mask: 0.7764, decode.d5.loss_dice: 1.2084, decode.d6.loss_cls: 0.8036, decode.d6.loss_mask: 0.7723, decode.d6.loss_dice: 1.1940, decode.d7.loss_cls: 0.8067, decode.d7.loss_mask: 0.7695, decode.d7.loss_dice: 1.1885, decode.d8.loss_cls: 0.7993, decode.d8.loss_mask: 0.7672, decode.d8.loss_dice: 1.2004, loss: 30.0888 2022-09-13 01:17:04,999 - mmseg - INFO - Iter [39650/80000] lr: 7.242e-07, eta: 21:38:28, time: 1.832, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7553, decode.loss_mask: 0.7717, decode.loss_dice: 1.1609, decode.d0.loss_cls: 2.5629, decode.d0.loss_mask: 0.7900, decode.d0.loss_dice: 1.3387, decode.d1.loss_cls: 0.8298, decode.d1.loss_mask: 0.8051, decode.d1.loss_dice: 1.2590, decode.d2.loss_cls: 0.7877, decode.d2.loss_mask: 0.7928, decode.d2.loss_dice: 1.2017, decode.d3.loss_cls: 0.7765, decode.d3.loss_mask: 0.7800, decode.d3.loss_dice: 1.1784, decode.d4.loss_cls: 0.7692, decode.d4.loss_mask: 0.7726, decode.d4.loss_dice: 1.1791, decode.d5.loss_cls: 0.7661, decode.d5.loss_mask: 0.7715, decode.d5.loss_dice: 1.1694, decode.d6.loss_cls: 0.7534, decode.d6.loss_mask: 0.7703, decode.d6.loss_dice: 1.1661, decode.d7.loss_cls: 0.7588, decode.d7.loss_mask: 0.7711, decode.d7.loss_dice: 1.1650, decode.d8.loss_cls: 0.7448, decode.d8.loss_mask: 0.7748, decode.d8.loss_dice: 1.1662, loss: 29.2887 2022-09-13 01:18:37,521 - mmseg - INFO - Iter [39700/80000] lr: 7.233e-07, eta: 21:36:47, time: 1.851, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7883, decode.loss_mask: 0.7807, decode.loss_dice: 1.1897, decode.d0.loss_cls: 2.6118, decode.d0.loss_mask: 0.7888, decode.d0.loss_dice: 1.3890, decode.d1.loss_cls: 0.8617, decode.d1.loss_mask: 0.8086, decode.d1.loss_dice: 1.2818, decode.d2.loss_cls: 0.8162, decode.d2.loss_mask: 0.7964, decode.d2.loss_dice: 1.2308, decode.d3.loss_cls: 0.8016, decode.d3.loss_mask: 0.7903, decode.d3.loss_dice: 1.2096, decode.d4.loss_cls: 0.7932, decode.d4.loss_mask: 0.7902, decode.d4.loss_dice: 1.2099, decode.d5.loss_cls: 0.7865, decode.d5.loss_mask: 0.7925, decode.d5.loss_dice: 1.1994, decode.d6.loss_cls: 0.7806, decode.d6.loss_mask: 0.7868, decode.d6.loss_dice: 1.1954, decode.d7.loss_cls: 0.7775, decode.d7.loss_mask: 0.7867, decode.d7.loss_dice: 1.2005, decode.d8.loss_cls: 0.7818, decode.d8.loss_mask: 0.7831, decode.d8.loss_dice: 1.1962, loss: 30.0056 2022-09-13 01:20:11,596 - mmseg - INFO - Iter [39750/80000] lr: 7.224e-07, eta: 21:35:08, time: 1.881, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7952, decode.loss_mask: 0.7525, decode.loss_dice: 1.1911, decode.d0.loss_cls: 2.6123, decode.d0.loss_mask: 0.7616, decode.d0.loss_dice: 1.3875, decode.d1.loss_cls: 0.8705, decode.d1.loss_mask: 0.7848, decode.d1.loss_dice: 1.2847, decode.d2.loss_cls: 0.8245, decode.d2.loss_mask: 0.7693, decode.d2.loss_dice: 1.2336, decode.d3.loss_cls: 0.8108, decode.d3.loss_mask: 0.7668, decode.d3.loss_dice: 1.2122, decode.d4.loss_cls: 0.8041, decode.d4.loss_mask: 0.7653, decode.d4.loss_dice: 1.2094, decode.d5.loss_cls: 0.8056, decode.d5.loss_mask: 0.7583, decode.d5.loss_dice: 1.2031, decode.d6.loss_cls: 0.8017, decode.d6.loss_mask: 0.7554, decode.d6.loss_dice: 1.1929, decode.d7.loss_cls: 0.7950, decode.d7.loss_mask: 0.7551, decode.d7.loss_dice: 1.1996, decode.d8.loss_cls: 0.7931, decode.d8.loss_mask: 0.7524, decode.d8.loss_dice: 1.1908, loss: 29.8394 2022-09-13 01:21:45,128 - mmseg - INFO - Iter [39800/80000] lr: 7.215e-07, eta: 21:33:29, time: 1.868, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8012, decode.loss_mask: 0.7734, decode.loss_dice: 1.2260, decode.d0.loss_cls: 2.6376, decode.d0.loss_mask: 0.7798, decode.d0.loss_dice: 1.4105, decode.d1.loss_cls: 0.8799, decode.d1.loss_mask: 0.7972, decode.d1.loss_dice: 1.3192, decode.d2.loss_cls: 0.8143, decode.d2.loss_mask: 0.7914, decode.d2.loss_dice: 1.2682, decode.d3.loss_cls: 0.8133, decode.d3.loss_mask: 0.7815, decode.d3.loss_dice: 1.2461, decode.d4.loss_cls: 0.8114, decode.d4.loss_mask: 0.7775, decode.d4.loss_dice: 1.2438, decode.d5.loss_cls: 0.8074, decode.d5.loss_mask: 0.7762, decode.d5.loss_dice: 1.2367, decode.d6.loss_cls: 0.8082, decode.d6.loss_mask: 0.7733, decode.d6.loss_dice: 1.2257, decode.d7.loss_cls: 0.8083, decode.d7.loss_mask: 0.7749, decode.d7.loss_dice: 1.2227, decode.d8.loss_cls: 0.7984, decode.d8.loss_mask: 0.7730, decode.d8.loss_dice: 1.2260, loss: 30.4033 2022-09-13 01:23:17,488 - mmseg - INFO - Iter [39850/80000] lr: 7.206e-07, eta: 21:31:48, time: 1.850, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8252, decode.loss_mask: 0.7571, decode.loss_dice: 1.2206, decode.d0.loss_cls: 2.6750, decode.d0.loss_mask: 0.7680, decode.d0.loss_dice: 1.4039, decode.d1.loss_cls: 0.8987, decode.d1.loss_mask: 0.7903, decode.d1.loss_dice: 1.3140, decode.d2.loss_cls: 0.8380, decode.d2.loss_mask: 0.7744, decode.d2.loss_dice: 1.2668, decode.d3.loss_cls: 0.8361, decode.d3.loss_mask: 0.7655, decode.d3.loss_dice: 1.2420, decode.d4.loss_cls: 0.8355, decode.d4.loss_mask: 0.7628, decode.d4.loss_dice: 1.2335, decode.d5.loss_cls: 0.8231, decode.d5.loss_mask: 0.7621, decode.d5.loss_dice: 1.2361, decode.d6.loss_cls: 0.8259, decode.d6.loss_mask: 0.7588, decode.d6.loss_dice: 1.2224, decode.d7.loss_cls: 0.8230, decode.d7.loss_mask: 0.7610, decode.d7.loss_dice: 1.2222, decode.d8.loss_cls: 0.8222, decode.d8.loss_mask: 0.7567, decode.d8.loss_dice: 1.2223, loss: 30.4433 2022-09-13 01:24:51,009 - mmseg - INFO - Iter [39900/80000] lr: 7.197e-07, eta: 21:30:09, time: 1.870, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8058, decode.loss_mask: 0.7648, decode.loss_dice: 1.1760, decode.d0.loss_cls: 2.5830, decode.d0.loss_mask: 0.7705, decode.d0.loss_dice: 1.3648, decode.d1.loss_cls: 0.8830, decode.d1.loss_mask: 0.7917, decode.d1.loss_dice: 1.2714, decode.d2.loss_cls: 0.8298, decode.d2.loss_mask: 0.7809, decode.d2.loss_dice: 1.2153, decode.d3.loss_cls: 0.8186, decode.d3.loss_mask: 0.7719, decode.d3.loss_dice: 1.2028, decode.d4.loss_cls: 0.8155, decode.d4.loss_mask: 0.7714, decode.d4.loss_dice: 1.1983, decode.d5.loss_cls: 0.8142, decode.d5.loss_mask: 0.7681, decode.d5.loss_dice: 1.1886, decode.d6.loss_cls: 0.8157, decode.d6.loss_mask: 0.7629, decode.d6.loss_dice: 1.1769, decode.d7.loss_cls: 0.8043, decode.d7.loss_mask: 0.7671, decode.d7.loss_dice: 1.1785, decode.d8.loss_cls: 0.8070, decode.d8.loss_mask: 0.7647, decode.d8.loss_dice: 1.1782, loss: 29.8420 2022-09-13 01:26:24,513 - mmseg - INFO - Iter [39950/80000] lr: 7.188e-07, eta: 21:28:29, time: 1.868, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8266, decode.loss_mask: 0.7666, decode.loss_dice: 1.1650, decode.d0.loss_cls: 2.6730, decode.d0.loss_mask: 0.7845, decode.d0.loss_dice: 1.3770, decode.d1.loss_cls: 0.9036, decode.d1.loss_mask: 0.7978, decode.d1.loss_dice: 1.2684, decode.d2.loss_cls: 0.8515, decode.d2.loss_mask: 0.7800, decode.d2.loss_dice: 1.2153, decode.d3.loss_cls: 0.8452, decode.d3.loss_mask: 0.7727, decode.d3.loss_dice: 1.1890, decode.d4.loss_cls: 0.8395, decode.d4.loss_mask: 0.7713, decode.d4.loss_dice: 1.1867, decode.d5.loss_cls: 0.8339, decode.d5.loss_mask: 0.7742, decode.d5.loss_dice: 1.1799, decode.d6.loss_cls: 0.8312, decode.d6.loss_mask: 0.7623, decode.d6.loss_dice: 1.1650, decode.d7.loss_cls: 0.8302, decode.d7.loss_mask: 0.7658, decode.d7.loss_dice: 1.1716, decode.d8.loss_cls: 0.8245, decode.d8.loss_mask: 0.7681, decode.d8.loss_dice: 1.1745, loss: 30.0950 2022-09-13 01:27:56,885 - mmseg - INFO - Saving checkpoint at 40000 iterations 2022-09-13 01:28:25,461 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 01:28:25,470 - mmseg - INFO - Iter [40000/80000] lr: 7.179e-07, eta: 21:27:17, time: 2.418, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8016, decode.loss_mask: 0.7781, decode.loss_dice: 1.2123, decode.d0.loss_cls: 2.6493, decode.d0.loss_mask: 0.7933, decode.d0.loss_dice: 1.4161, decode.d1.loss_cls: 0.8933, decode.d1.loss_mask: 0.8154, decode.d1.loss_dice: 1.3088, decode.d2.loss_cls: 0.8357, decode.d2.loss_mask: 0.7982, decode.d2.loss_dice: 1.2613, decode.d3.loss_cls: 0.8228, decode.d3.loss_mask: 0.7867, decode.d3.loss_dice: 1.2351, decode.d4.loss_cls: 0.8162, decode.d4.loss_mask: 0.7842, decode.d4.loss_dice: 1.2314, decode.d5.loss_cls: 0.8098, decode.d5.loss_mask: 0.7827, decode.d5.loss_dice: 1.2235, decode.d6.loss_cls: 0.8023, decode.d6.loss_mask: 0.7779, decode.d6.loss_dice: 1.2125, decode.d7.loss_cls: 0.8040, decode.d7.loss_mask: 0.7825, decode.d7.loss_dice: 1.2141, decode.d8.loss_cls: 0.8026, decode.d8.loss_mask: 0.7806, decode.d8.loss_dice: 1.2149, loss: 30.4474 2022-09-13 01:33:19,950 - mmseg - INFO - per class results: 2022-09-13 01:33:19,966 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 88.15 | 93.53 | | bicycle | 77.64 | 89.06 | | car | 66.64 | 85.9 | | motorcycle | 86.58 | 91.73 | | airplane | 87.5 | 94.62 | | bus | 87.43 | 92.94 | | train | 86.74 | 95.38 | | truck | 67.59 | 85.64 | | boat | 73.11 | 87.73 | | traffic light | 73.39 | 88.11 | | fire hydrant | 90.84 | 96.06 | | stop sign | 88.77 | 98.53 | | parking meter | 77.6 | 86.93 | | bench | 56.86 | 79.24 | | bird | 85.04 | 91.67 | | cat | 81.4 | 87.02 | | dog | 78.54 | 84.78 | | horse | 85.4 | 94.53 | | sheep | 88.22 | 95.51 | | cow | 87.66 | 91.34 | | elephant | 93.33 | 96.35 | | bear | 93.1 | 95.66 | | zebra | 90.61 | 93.17 | | giraffe | 88.43 | 93.58 | | backpack | 39.23 | 78.78 | | umbrella | 88.83 | 94.01 | | handbag | 42.35 | 67.73 | | tie | 15.91 | 19.41 | | suitcase | 81.63 | 91.85 | | frisbee | 81.43 | 95.46 | | skis | 62.7 | 76.52 | | snowboard | 71.26 | 83.8 | | sports ball | 57.31 | 77.4 | | kite | 78.62 | 87.73 | | baseball bat | 50.83 | 85.88 | | baseball glove | 74.83 | 91.73 | | skateboard | 85.92 | 91.8 | | surfboard | 85.11 | 92.84 | | tennis racket | 88.51 | 94.14 | | bottle | 53.19 | 68.49 | | wine glass | 62.47 | 85.17 | | cup | 59.38 | 84.57 | | fork | 55.56 | 69.88 | | knife | 46.16 | 64.15 | | spoon | 41.02 | 59.57 | | bowl | 49.83 | 65.14 | | banana | 71.4 | 92.86 | | apple | 55.24 | 75.23 | | sandwich | 51.74 | 65.36 | | orange | 78.83 | 87.05 | | broccoli | 56.99 | 72.68 | | carrot | 61.65 | 71.35 | | hot dog | 54.32 | 65.36 | | pizza | 73.72 | 87.45 | | donut | 77.04 | 93.29 | | cake | 75.09 | 84.22 | | chair | 54.32 | 74.53 | | couch | 58.1 | 76.52 | | potted plant | 42.07 | 67.8 | | bed | 64.96 | 86.86 | | dining table | 46.23 | 75.54 | | toilet | 86.84 | 94.1 | | tv | 76.73 | 86.6 | | laptop | 78.24 | 89.14 | | mouse | 80.04 | 91.66 | | remote | 59.58 | 74.25 | | keyboard | 68.03 | 89.74 | | cell phone | 77.87 | 93.76 | | microwave | 69.45 | 80.01 | | oven | 56.47 | 88.95 | | toaster | 49.84 | 52.83 | | sink | 67.02 | 83.0 | | refrigerator | 81.55 | 94.7 | | book | 57.3 | 78.15 | | clock | 73.08 | 84.38 | | vase | 62.51 | 83.94 | | scissors | 81.14 | 92.75 | | teddy bear | 83.04 | 94.5 | | hair drier | 43.36 | 64.18 | | toothbrush | 62.58 | 85.98 | | banner | 25.7 | 73.05 | | blanket | 5.06 | 6.32 | | branch | 23.73 | 41.63 | | bridge | 45.34 | 71.76 | | building-other | 52.71 | 68.05 | | bush | 35.85 | 52.8 | | cabinet | 59.23 | 74.05 | | cage | 21.05 | 30.52 | | cardboard | 49.7 | 63.78 | | carpet | 55.31 | 77.87 | | ceiling-other | 68.16 | 85.46 | | ceiling-tile | 0.0 | 0.0 | | cloth | 3.93 | 3.94 | | clothes | 24.62 | 37.01 | | clouds | 46.74 | 60.27 | | counter | 29.45 | 58.71 | | cupboard | 0.0 | 0.0 | | curtain | 71.14 | 81.4 | | desk-stuff | 46.57 | 73.88 | | dirt | 41.59 | 57.22 | | door-stuff | 47.76 | 78.28 | | fence | 31.84 | 55.46 | | floor-marble | 6.64 | 7.48 | | floor-other | 24.39 | 30.51 | | floor-stone | 6.48 | 8.83 | | floor-tile | 65.61 | 77.2 | | floor-wood | 67.35 | 82.84 | | flower | 41.06 | 56.89 | | fog | 4.94 | 5.11 | | food-other | 33.54 | 41.31 | | fruit | 44.82 | 68.78 | | furniture-other | 20.76 | 30.89 | | grass | 70.43 | 82.42 | | gravel | 32.19 | 43.33 | | ground-other | 1.73 | 2.1 | | hill | 16.98 | 21.72 | | house | 26.78 | 35.37 | | leaves | 29.98 | 43.07 | | light | 41.62 | 61.03 | | mat | 0.0 | 0.0 | | metal | 37.55 | 51.36 | | mirror-stuff | 63.96 | 82.82 | | moss | 0.0 | 0.0 | | mountain | 54.97 | 73.71 | | mud | 0.0 | 0.0 | | napkin | 10.85 | 13.48 | | net | 49.0 | 67.63 | | paper | 36.31 | 51.86 | | pavement | 52.55 | 69.16 | | pillow | 23.89 | 49.38 | | plant-other | 19.21 | 29.3 | | plastic | 23.9 | 31.4 | | platform | 31.54 | 48.95 | | playingfield | 69.63 | 93.98 | | railing | 10.54 | 19.07 | | railroad | 64.19 | 83.37 | | river | 48.21 | 64.41 | | road | 67.79 | 86.35 | | rock | 37.93 | 51.17 | | roof | 23.21 | 29.75 | | rug | 34.63 | 50.93 | | salad | 0.0 | 0.0 | | sand | 65.53 | 75.38 | | sea | 85.85 | 92.61 | | shelf | 41.05 | 56.51 | | sky-other | 71.22 | 87.89 | | skyscraper | 35.56 | 61.82 | | snow | 91.46 | 95.3 | | solid-other | 0.0 | 0.0 | | stairs | 28.65 | 62.84 | | stone | 15.93 | 35.96 | | straw | 34.46 | 60.65 | | structural-other | 0.12 | 0.13 | | table | 17.36 | 21.5 | | tent | 9.73 | 13.02 | | textile-other | 15.96 | 26.0 | | towel | 39.52 | 53.27 | | tree | 74.29 | 87.26 | | vegetable | 39.56 | 61.08 | | wall-brick | 52.48 | 72.06 | | wall-concrete | 63.18 | 78.32 | | wall-other | 21.23 | 32.69 | | wall-panel | 4.05 | 4.51 | | wall-stone | 32.47 | 40.37 | | wall-tile | 72.23 | 84.82 | | wall-wood | 40.8 | 56.01 | | water-other | 28.94 | 43.46 | | waterdrops | 0.0 | 0.0 | | window-blind | 53.39 | 67.12 | | window-other | 50.65 | 70.82 | | wood | 27.76 | 40.83 | +------------------+-------+-------+ 2022-09-13 01:33:19,966 - mmseg - INFO - Summary: 2022-09-13 01:33:19,966 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 73.28 | 51.36 | 64.76 | +-------+-------+-------+ 2022-09-13 01:33:20,802 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/segmentation/work_dirs/mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss/best_mIoU_iter_32000.pth was removed 2022-09-13 01:33:50,880 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_40000.pth. 2022-09-13 01:33:50,892 - mmseg - INFO - Best mIoU is 0.5136 at 40000 iter. 2022-09-13 01:33:50,934 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 01:33:50,935 - mmseg - INFO - Iter(val) [313] aAcc: 0.7328, mIoU: 0.5136, mAcc: 0.6476, IoU.person: 0.8815, IoU.bicycle: 0.7764, IoU.car: 0.6664, IoU.motorcycle: 0.8658, IoU.airplane: 0.8750, IoU.bus: 0.8743, IoU.train: 0.8674, IoU.truck: 0.6759, IoU.boat: 0.7311, IoU.traffic light: 0.7339, IoU.fire hydrant: 0.9084, IoU.stop sign: 0.8877, IoU.parking meter: 0.7760, IoU.bench: 0.5686, IoU.bird: 0.8504, IoU.cat: 0.8140, IoU.dog: 0.7854, IoU.horse: 0.8540, IoU.sheep: 0.8822, IoU.cow: 0.8766, IoU.elephant: 0.9333, IoU.bear: 0.9310, IoU.zebra: 0.9061, IoU.giraffe: 0.8843, IoU.backpack: 0.3923, IoU.umbrella: 0.8883, IoU.handbag: 0.4235, IoU.tie: 0.1591, IoU.suitcase: 0.8163, IoU.frisbee: 0.8143, IoU.skis: 0.6270, IoU.snowboard: 0.7126, IoU.sports ball: 0.5731, IoU.kite: 0.7862, IoU.baseball bat: 0.5083, IoU.baseball glove: 0.7483, IoU.skateboard: 0.8592, IoU.surfboard: 0.8511, IoU.tennis racket: 0.8851, IoU.bottle: 0.5319, IoU.wine glass: 0.6247, IoU.cup: 0.5938, IoU.fork: 0.5556, IoU.knife: 0.4616, IoU.spoon: 0.4102, IoU.bowl: 0.4983, IoU.banana: 0.7140, IoU.apple: 0.5524, IoU.sandwich: 0.5174, IoU.orange: 0.7883, IoU.broccoli: 0.5699, IoU.carrot: 0.6165, IoU.hot dog: 0.5432, IoU.pizza: 0.7372, IoU.donut: 0.7704, IoU.cake: 0.7509, IoU.chair: 0.5432, IoU.couch: 0.5810, IoU.potted plant: 0.4207, IoU.bed: 0.6496, IoU.dining table: 0.4623, IoU.toilet: 0.8684, IoU.tv: 0.7673, IoU.laptop: 0.7824, IoU.mouse: 0.8004, IoU.remote: 0.5958, IoU.keyboard: 0.6803, IoU.cell phone: 0.7787, IoU.microwave: 0.6945, IoU.oven: 0.5647, IoU.toaster: 0.4984, IoU.sink: 0.6702, IoU.refrigerator: 0.8155, IoU.book: 0.5730, IoU.clock: 0.7308, IoU.vase: 0.6251, IoU.scissors: 0.8114, IoU.teddy bear: 0.8304, IoU.hair drier: 0.4336, IoU.toothbrush: 0.6258, IoU.banner: 0.2570, IoU.blanket: 0.0506, IoU.branch: 0.2373, IoU.bridge: 0.4534, IoU.building-other: 0.5271, IoU.bush: 0.3585, IoU.cabinet: 0.5923, IoU.cage: 0.2105, IoU.cardboard: 0.4970, IoU.carpet: 0.5531, IoU.ceiling-other: 0.6816, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0393, IoU.clothes: 0.2462, IoU.clouds: 0.4674, IoU.counter: 0.2945, IoU.cupboard: 0.0000, IoU.curtain: 0.7114, IoU.desk-stuff: 0.4657, IoU.dirt: 0.4159, IoU.door-stuff: 0.4776, IoU.fence: 0.3184, IoU.floor-marble: 0.0664, IoU.floor-other: 0.2439, IoU.floor-stone: 0.0648, IoU.floor-tile: 0.6561, IoU.floor-wood: 0.6735, IoU.flower: 0.4106, IoU.fog: 0.0494, IoU.food-other: 0.3354, IoU.fruit: 0.4482, IoU.furniture-other: 0.2076, IoU.grass: 0.7043, IoU.gravel: 0.3219, IoU.ground-other: 0.0173, IoU.hill: 0.1698, IoU.house: 0.2678, IoU.leaves: 0.2998, IoU.light: 0.4162, IoU.mat: 0.0000, IoU.metal: 0.3755, IoU.mirror-stuff: 0.6396, IoU.moss: 0.0000, IoU.mountain: 0.5497, IoU.mud: 0.0000, IoU.napkin: 0.1085, IoU.net: 0.4900, IoU.paper: 0.3631, IoU.pavement: 0.5255, IoU.pillow: 0.2389, IoU.plant-other: 0.1921, IoU.plastic: 0.2390, IoU.platform: 0.3154, IoU.playingfield: 0.6963, IoU.railing: 0.1054, IoU.railroad: 0.6419, IoU.river: 0.4821, IoU.road: 0.6779, IoU.rock: 0.3793, IoU.roof: 0.2321, IoU.rug: 0.3463, IoU.salad: 0.0000, IoU.sand: 0.6553, IoU.sea: 0.8585, IoU.shelf: 0.4105, IoU.sky-other: 0.7122, IoU.skyscraper: 0.3556, IoU.snow: 0.9146, IoU.solid-other: 0.0000, IoU.stairs: 0.2865, IoU.stone: 0.1593, IoU.straw: 0.3446, IoU.structural-other: 0.0012, IoU.table: 0.1736, IoU.tent: 0.0973, IoU.textile-other: 0.1596, IoU.towel: 0.3952, IoU.tree: 0.7429, IoU.vegetable: 0.3956, IoU.wall-brick: 0.5248, IoU.wall-concrete: 0.6318, IoU.wall-other: 0.2123, IoU.wall-panel: 0.0405, IoU.wall-stone: 0.3247, IoU.wall-tile: 0.7223, IoU.wall-wood: 0.4080, IoU.water-other: 0.2894, IoU.waterdrops: 0.0000, IoU.window-blind: 0.5339, IoU.window-other: 0.5065, IoU.wood: 0.2776, Acc.person: 0.9353, Acc.bicycle: 0.8906, Acc.car: 0.8590, Acc.motorcycle: 0.9173, Acc.airplane: 0.9462, Acc.bus: 0.9294, Acc.train: 0.9538, Acc.truck: 0.8564, Acc.boat: 0.8773, Acc.traffic light: 0.8811, Acc.fire hydrant: 0.9606, Acc.stop sign: 0.9853, Acc.parking meter: 0.8693, Acc.bench: 0.7924, Acc.bird: 0.9167, Acc.cat: 0.8702, Acc.dog: 0.8478, Acc.horse: 0.9453, Acc.sheep: 0.9551, Acc.cow: 0.9134, Acc.elephant: 0.9635, Acc.bear: 0.9566, Acc.zebra: 0.9317, Acc.giraffe: 0.9358, Acc.backpack: 0.7878, Acc.umbrella: 0.9401, Acc.handbag: 0.6773, Acc.tie: 0.1941, Acc.suitcase: 0.9185, Acc.frisbee: 0.9546, Acc.skis: 0.7652, Acc.snowboard: 0.8380, Acc.sports ball: 0.7740, Acc.kite: 0.8773, Acc.baseball bat: 0.8588, Acc.baseball glove: 0.9173, Acc.skateboard: 0.9180, Acc.surfboard: 0.9284, Acc.tennis racket: 0.9414, Acc.bottle: 0.6849, Acc.wine glass: 0.8517, Acc.cup: 0.8457, Acc.fork: 0.6988, Acc.knife: 0.6415, Acc.spoon: 0.5957, Acc.bowl: 0.6514, Acc.banana: 0.9286, Acc.apple: 0.7523, Acc.sandwich: 0.6536, Acc.orange: 0.8705, Acc.broccoli: 0.7268, Acc.carrot: 0.7135, Acc.hot dog: 0.6536, Acc.pizza: 0.8745, Acc.donut: 0.9329, Acc.cake: 0.8422, Acc.chair: 0.7453, Acc.couch: 0.7652, Acc.potted plant: 0.6780, Acc.bed: 0.8686, Acc.dining table: 0.7554, Acc.toilet: 0.9410, Acc.tv: 0.8660, Acc.laptop: 0.8914, Acc.mouse: 0.9166, Acc.remote: 0.7425, Acc.keyboard: 0.8974, Acc.cell phone: 0.9376, Acc.microwave: 0.8001, Acc.oven: 0.8895, Acc.toaster: 0.5283, Acc.sink: 0.8300, Acc.refrigerator: 0.9470, Acc.book: 0.7815, Acc.clock: 0.8438, Acc.vase: 0.8394, Acc.scissors: 0.9275, Acc.teddy bear: 0.9450, Acc.hair drier: 0.6418, Acc.toothbrush: 0.8598, Acc.banner: 0.7305, Acc.blanket: 0.0632, Acc.branch: 0.4163, Acc.bridge: 0.7176, Acc.building-other: 0.6805, Acc.bush: 0.5280, Acc.cabinet: 0.7405, Acc.cage: 0.3052, Acc.cardboard: 0.6378, Acc.carpet: 0.7787, Acc.ceiling-other: 0.8546, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0394, Acc.clothes: 0.3701, Acc.clouds: 0.6027, Acc.counter: 0.5871, Acc.cupboard: 0.0000, Acc.curtain: 0.8140, Acc.desk-stuff: 0.7388, Acc.dirt: 0.5722, Acc.door-stuff: 0.7828, Acc.fence: 0.5546, Acc.floor-marble: 0.0748, Acc.floor-other: 0.3051, Acc.floor-stone: 0.0883, Acc.floor-tile: 0.7720, Acc.floor-wood: 0.8284, Acc.flower: 0.5689, Acc.fog: 0.0511, Acc.food-other: 0.4131, Acc.fruit: 0.6878, Acc.furniture-other: 0.3089, Acc.grass: 0.8242, Acc.gravel: 0.4333, Acc.ground-other: 0.0210, Acc.hill: 0.2172, Acc.house: 0.3537, Acc.leaves: 0.4307, Acc.light: 0.6103, Acc.mat: 0.0000, Acc.metal: 0.5136, Acc.mirror-stuff: 0.8282, Acc.moss: 0.0000, Acc.mountain: 0.7371, Acc.mud: 0.0000, Acc.napkin: 0.1348, Acc.net: 0.6763, Acc.paper: 0.5186, Acc.pavement: 0.6916, Acc.pillow: 0.4938, Acc.plant-other: 0.2930, Acc.plastic: 0.3140, Acc.platform: 0.4895, Acc.playingfield: 0.9398, Acc.railing: 0.1907, Acc.railroad: 0.8337, Acc.river: 0.6441, Acc.road: 0.8635, Acc.rock: 0.5117, Acc.roof: 0.2975, Acc.rug: 0.5093, Acc.salad: 0.0000, Acc.sand: 0.7538, Acc.sea: 0.9261, Acc.shelf: 0.5651, Acc.sky-other: 0.8789, Acc.skyscraper: 0.6182, Acc.snow: 0.9530, Acc.solid-other: 0.0000, Acc.stairs: 0.6284, Acc.stone: 0.3596, Acc.straw: 0.6065, Acc.structural-other: 0.0013, Acc.table: 0.2150, Acc.tent: 0.1302, Acc.textile-other: 0.2600, Acc.towel: 0.5327, Acc.tree: 0.8726, Acc.vegetable: 0.6108, Acc.wall-brick: 0.7206, Acc.wall-concrete: 0.7832, Acc.wall-other: 0.3269, Acc.wall-panel: 0.0451, Acc.wall-stone: 0.4037, Acc.wall-tile: 0.8482, Acc.wall-wood: 0.5601, Acc.water-other: 0.4346, Acc.waterdrops: 0.0000, Acc.window-blind: 0.6712, Acc.window-other: 0.7082, Acc.wood: 0.4083 2022-09-13 01:35:23,867 - mmseg - INFO - Iter [40050/80000] lr: 7.170e-07, eta: 21:31:01, time: 8.370, data_time: 6.526, memory: 42763, decode.loss_cls: 0.7960, decode.loss_mask: 0.7887, decode.loss_dice: 1.1733, decode.d0.loss_cls: 2.5807, decode.d0.loss_mask: 0.8127, decode.d0.loss_dice: 1.3649, decode.d1.loss_cls: 0.8719, decode.d1.loss_mask: 0.8263, decode.d1.loss_dice: 1.2699, decode.d2.loss_cls: 0.8229, decode.d2.loss_mask: 0.8047, decode.d2.loss_dice: 1.2141, decode.d3.loss_cls: 0.8068, decode.d3.loss_mask: 0.7965, decode.d3.loss_dice: 1.1985, decode.d4.loss_cls: 0.8038, decode.d4.loss_mask: 0.7925, decode.d4.loss_dice: 1.1909, decode.d5.loss_cls: 0.8031, decode.d5.loss_mask: 0.7887, decode.d5.loss_dice: 1.1817, decode.d6.loss_cls: 0.7989, decode.d6.loss_mask: 0.7944, decode.d6.loss_dice: 1.1728, decode.d7.loss_cls: 0.7997, decode.d7.loss_mask: 0.7889, decode.d7.loss_dice: 1.1716, decode.d8.loss_cls: 0.7995, decode.d8.loss_mask: 0.7928, decode.d8.loss_dice: 1.1755, loss: 29.9827 2022-09-13 01:36:57,778 - mmseg - INFO - Iter [40100/80000] lr: 7.161e-07, eta: 21:29:21, time: 1.879, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8008, decode.loss_mask: 0.7626, decode.loss_dice: 1.1873, decode.d0.loss_cls: 2.6119, decode.d0.loss_mask: 0.7702, decode.d0.loss_dice: 1.3828, decode.d1.loss_cls: 0.8681, decode.d1.loss_mask: 0.7905, decode.d1.loss_dice: 1.2787, decode.d2.loss_cls: 0.8192, decode.d2.loss_mask: 0.7790, decode.d2.loss_dice: 1.2406, decode.d3.loss_cls: 0.8145, decode.d3.loss_mask: 0.7703, decode.d3.loss_dice: 1.2187, decode.d4.loss_cls: 0.8081, decode.d4.loss_mask: 0.7698, decode.d4.loss_dice: 1.2150, decode.d5.loss_cls: 0.8023, decode.d5.loss_mask: 0.7647, decode.d5.loss_dice: 1.2072, decode.d6.loss_cls: 0.7971, decode.d6.loss_mask: 0.7641, decode.d6.loss_dice: 1.1931, decode.d7.loss_cls: 0.7971, decode.d7.loss_mask: 0.7623, decode.d7.loss_dice: 1.1995, decode.d8.loss_cls: 0.7954, decode.d8.loss_mask: 0.7619, decode.d8.loss_dice: 1.1973, loss: 29.9297 2022-09-13 01:38:31,030 - mmseg - INFO - Iter [40150/80000] lr: 7.152e-07, eta: 21:27:41, time: 1.865, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8277, decode.loss_mask: 0.7667, decode.loss_dice: 1.1980, decode.d0.loss_cls: 2.6181, decode.d0.loss_mask: 0.7870, decode.d0.loss_dice: 1.3895, decode.d1.loss_cls: 0.9102, decode.d1.loss_mask: 0.8051, decode.d1.loss_dice: 1.2857, decode.d2.loss_cls: 0.8494, decode.d2.loss_mask: 0.7870, decode.d2.loss_dice: 1.2381, decode.d3.loss_cls: 0.8413, decode.d3.loss_mask: 0.7793, decode.d3.loss_dice: 1.2145, decode.d4.loss_cls: 0.8373, decode.d4.loss_mask: 0.7750, decode.d4.loss_dice: 1.2148, decode.d5.loss_cls: 0.8347, decode.d5.loss_mask: 0.7727, decode.d5.loss_dice: 1.2062, decode.d6.loss_cls: 0.8312, decode.d6.loss_mask: 0.7678, decode.d6.loss_dice: 1.1976, decode.d7.loss_cls: 0.8266, decode.d7.loss_mask: 0.7696, decode.d7.loss_dice: 1.2000, decode.d8.loss_cls: 0.8265, decode.d8.loss_mask: 0.7660, decode.d8.loss_dice: 1.1992, loss: 30.3227 2022-09-13 01:40:04,404 - mmseg - INFO - Iter [40200/80000] lr: 7.143e-07, eta: 21:26:00, time: 1.867, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7746, decode.loss_mask: 0.7715, decode.loss_dice: 1.1847, decode.d0.loss_cls: 2.5777, decode.d0.loss_mask: 0.7835, decode.d0.loss_dice: 1.3661, decode.d1.loss_cls: 0.8400, decode.d1.loss_mask: 0.8042, decode.d1.loss_dice: 1.2670, decode.d2.loss_cls: 0.7884, decode.d2.loss_mask: 0.7868, decode.d2.loss_dice: 1.2222, decode.d3.loss_cls: 0.7779, decode.d3.loss_mask: 0.7814, decode.d3.loss_dice: 1.2097, decode.d4.loss_cls: 0.7776, decode.d4.loss_mask: 0.7800, decode.d4.loss_dice: 1.2081, decode.d5.loss_cls: 0.7731, decode.d5.loss_mask: 0.7765, decode.d5.loss_dice: 1.1934, decode.d6.loss_cls: 0.7709, decode.d6.loss_mask: 0.7741, decode.d6.loss_dice: 1.1824, decode.d7.loss_cls: 0.7652, decode.d7.loss_mask: 0.7770, decode.d7.loss_dice: 1.1867, decode.d8.loss_cls: 0.7707, decode.d8.loss_mask: 0.7741, decode.d8.loss_dice: 1.1865, loss: 29.6317 2022-09-13 01:41:38,400 - mmseg - INFO - Iter [40250/80000] lr: 7.134e-07, eta: 21:24:21, time: 1.880, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8075, decode.loss_mask: 0.7609, decode.loss_dice: 1.1616, decode.d0.loss_cls: 2.5946, decode.d0.loss_mask: 0.7853, decode.d0.loss_dice: 1.3647, decode.d1.loss_cls: 0.8658, decode.d1.loss_mask: 0.8008, decode.d1.loss_dice: 1.2622, decode.d2.loss_cls: 0.8267, decode.d2.loss_mask: 0.7834, decode.d2.loss_dice: 1.2177, decode.d3.loss_cls: 0.8152, decode.d3.loss_mask: 0.7724, decode.d3.loss_dice: 1.1873, decode.d4.loss_cls: 0.8107, decode.d4.loss_mask: 0.7701, decode.d4.loss_dice: 1.1878, decode.d5.loss_cls: 0.8128, decode.d5.loss_mask: 0.7674, decode.d5.loss_dice: 1.1793, decode.d6.loss_cls: 0.8143, decode.d6.loss_mask: 0.7625, decode.d6.loss_dice: 1.1647, decode.d7.loss_cls: 0.8102, decode.d7.loss_mask: 0.7602, decode.d7.loss_dice: 1.1643, decode.d8.loss_cls: 0.8159, decode.d8.loss_mask: 0.7571, decode.d8.loss_dice: 1.1666, loss: 29.7499 2022-09-13 01:43:11,607 - mmseg - INFO - Iter [40300/80000] lr: 7.125e-07, eta: 21:22:40, time: 1.864, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7590, decode.loss_mask: 0.7842, decode.loss_dice: 1.1824, decode.d0.loss_cls: 2.5790, decode.d0.loss_mask: 0.7979, decode.d0.loss_dice: 1.3651, decode.d1.loss_cls: 0.8374, decode.d1.loss_mask: 0.8187, decode.d1.loss_dice: 1.2760, decode.d2.loss_cls: 0.7830, decode.d2.loss_mask: 0.7934, decode.d2.loss_dice: 1.2282, decode.d3.loss_cls: 0.7666, decode.d3.loss_mask: 0.7933, decode.d3.loss_dice: 1.1999, decode.d4.loss_cls: 0.7649, decode.d4.loss_mask: 0.7914, decode.d4.loss_dice: 1.1954, decode.d5.loss_cls: 0.7657, decode.d5.loss_mask: 0.7908, decode.d5.loss_dice: 1.1989, decode.d6.loss_cls: 0.7621, decode.d6.loss_mask: 0.7894, decode.d6.loss_dice: 1.1910, decode.d7.loss_cls: 0.7574, decode.d7.loss_mask: 0.7857, decode.d7.loss_dice: 1.1878, decode.d8.loss_cls: 0.7651, decode.d8.loss_mask: 0.7873, decode.d8.loss_dice: 1.1871, loss: 29.6843 2022-09-13 01:44:46,178 - mmseg - INFO - Iter [40350/80000] lr: 7.116e-07, eta: 21:21:01, time: 1.891, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7975, decode.loss_mask: 0.7920, decode.loss_dice: 1.2153, decode.d0.loss_cls: 2.6396, decode.d0.loss_mask: 0.7887, decode.d0.loss_dice: 1.3996, decode.d1.loss_cls: 0.8805, decode.d1.loss_mask: 0.8147, decode.d1.loss_dice: 1.3139, decode.d2.loss_cls: 0.8209, decode.d2.loss_mask: 0.8035, decode.d2.loss_dice: 1.2625, decode.d3.loss_cls: 0.8083, decode.d3.loss_mask: 0.8003, decode.d3.loss_dice: 1.2373, decode.d4.loss_cls: 0.8074, decode.d4.loss_mask: 0.7957, decode.d4.loss_dice: 1.2397, decode.d5.loss_cls: 0.8025, decode.d5.loss_mask: 0.7905, decode.d5.loss_dice: 1.2332, decode.d6.loss_cls: 0.7974, decode.d6.loss_mask: 0.7932, decode.d6.loss_dice: 1.2174, decode.d7.loss_cls: 0.7982, decode.d7.loss_mask: 0.7909, decode.d7.loss_dice: 1.2172, decode.d8.loss_cls: 0.7979, decode.d8.loss_mask: 0.7921, decode.d8.loss_dice: 1.2195, loss: 30.4673 2022-09-13 01:46:19,066 - mmseg - INFO - Iter [40400/80000] lr: 7.107e-07, eta: 21:19:20, time: 1.858, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8278, decode.loss_mask: 0.7478, decode.loss_dice: 1.2013, decode.d0.loss_cls: 2.6707, decode.d0.loss_mask: 0.7647, decode.d0.loss_dice: 1.3914, decode.d1.loss_cls: 0.9093, decode.d1.loss_mask: 0.7808, decode.d1.loss_dice: 1.2923, decode.d2.loss_cls: 0.8521, decode.d2.loss_mask: 0.7607, decode.d2.loss_dice: 1.2463, decode.d3.loss_cls: 0.8370, decode.d3.loss_mask: 0.7564, decode.d3.loss_dice: 1.2244, decode.d4.loss_cls: 0.8343, decode.d4.loss_mask: 0.7560, decode.d4.loss_dice: 1.2152, decode.d5.loss_cls: 0.8321, decode.d5.loss_mask: 0.7518, decode.d5.loss_dice: 1.2139, decode.d6.loss_cls: 0.8297, decode.d6.loss_mask: 0.7468, decode.d6.loss_dice: 1.1987, decode.d7.loss_cls: 0.8336, decode.d7.loss_mask: 0.7486, decode.d7.loss_dice: 1.1961, decode.d8.loss_cls: 0.8260, decode.d8.loss_mask: 0.7453, decode.d8.loss_dice: 1.2010, loss: 30.1920 2022-09-13 01:47:51,714 - mmseg - INFO - Iter [40450/80000] lr: 7.098e-07, eta: 21:17:39, time: 1.853, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8429, decode.loss_mask: 0.7731, decode.loss_dice: 1.2173, decode.d0.loss_cls: 2.6500, decode.d0.loss_mask: 0.7856, decode.d0.loss_dice: 1.4116, decode.d1.loss_cls: 0.9239, decode.d1.loss_mask: 0.7996, decode.d1.loss_dice: 1.3209, decode.d2.loss_cls: 0.8645, decode.d2.loss_mask: 0.7838, decode.d2.loss_dice: 1.2688, decode.d3.loss_cls: 0.8566, decode.d3.loss_mask: 0.7807, decode.d3.loss_dice: 1.2329, decode.d4.loss_cls: 0.8549, decode.d4.loss_mask: 0.7752, decode.d4.loss_dice: 1.2410, decode.d5.loss_cls: 0.8502, decode.d5.loss_mask: 0.7703, decode.d5.loss_dice: 1.2297, decode.d6.loss_cls: 0.8449, decode.d6.loss_mask: 0.7685, decode.d6.loss_dice: 1.2146, decode.d7.loss_cls: 0.8392, decode.d7.loss_mask: 0.7682, decode.d7.loss_dice: 1.2227, decode.d8.loss_cls: 0.8335, decode.d8.loss_mask: 0.7662, decode.d8.loss_dice: 1.2141, loss: 30.7054 2022-09-13 01:49:25,056 - mmseg - INFO - Iter [40500/80000] lr: 7.089e-07, eta: 21:15:58, time: 1.866, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7800, decode.loss_mask: 0.7765, decode.loss_dice: 1.2032, decode.d0.loss_cls: 2.6007, decode.d0.loss_mask: 0.7837, decode.d0.loss_dice: 1.3882, decode.d1.loss_cls: 0.8606, decode.d1.loss_mask: 0.7992, decode.d1.loss_dice: 1.2920, decode.d2.loss_cls: 0.8102, decode.d2.loss_mask: 0.7841, decode.d2.loss_dice: 1.2449, decode.d3.loss_cls: 0.8014, decode.d3.loss_mask: 0.7801, decode.d3.loss_dice: 1.2161, decode.d4.loss_cls: 0.7921, decode.d4.loss_mask: 0.7805, decode.d4.loss_dice: 1.2195, decode.d5.loss_cls: 0.7920, decode.d5.loss_mask: 0.7734, decode.d5.loss_dice: 1.2091, decode.d6.loss_cls: 0.7863, decode.d6.loss_mask: 0.7759, decode.d6.loss_dice: 1.2040, decode.d7.loss_cls: 0.7827, decode.d7.loss_mask: 0.7721, decode.d7.loss_dice: 1.1979, decode.d8.loss_cls: 0.7879, decode.d8.loss_mask: 0.7759, decode.d8.loss_dice: 1.1988, loss: 29.9690 2022-09-13 01:50:57,667 - mmseg - INFO - Iter [40550/80000] lr: 7.080e-07, eta: 21:14:17, time: 1.852, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7765, decode.loss_mask: 0.7601, decode.loss_dice: 1.1667, decode.d0.loss_cls: 2.5910, decode.d0.loss_mask: 0.7761, decode.d0.loss_dice: 1.3523, decode.d1.loss_cls: 0.8564, decode.d1.loss_mask: 0.7839, decode.d1.loss_dice: 1.2598, decode.d2.loss_cls: 0.8061, decode.d2.loss_mask: 0.7748, decode.d2.loss_dice: 1.2072, decode.d3.loss_cls: 0.7977, decode.d3.loss_mask: 0.7644, decode.d3.loss_dice: 1.1869, decode.d4.loss_cls: 0.7942, decode.d4.loss_mask: 0.7606, decode.d4.loss_dice: 1.1736, decode.d5.loss_cls: 0.7877, decode.d5.loss_mask: 0.7588, decode.d5.loss_dice: 1.1694, decode.d6.loss_cls: 0.7870, decode.d6.loss_mask: 0.7514, decode.d6.loss_dice: 1.1604, decode.d7.loss_cls: 0.7802, decode.d7.loss_mask: 0.7548, decode.d7.loss_dice: 1.1691, decode.d8.loss_cls: 0.7793, decode.d8.loss_mask: 0.7554, decode.d8.loss_dice: 1.1605, loss: 29.4025 2022-09-13 01:52:30,153 - mmseg - INFO - Iter [40600/80000] lr: 7.071e-07, eta: 21:12:36, time: 1.850, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7705, decode.loss_mask: 0.7776, decode.loss_dice: 1.1891, decode.d0.loss_cls: 2.5524, decode.d0.loss_mask: 0.7987, decode.d0.loss_dice: 1.3791, decode.d1.loss_cls: 0.8595, decode.d1.loss_mask: 0.8025, decode.d1.loss_dice: 1.2900, decode.d2.loss_cls: 0.7931, decode.d2.loss_mask: 0.7944, decode.d2.loss_dice: 1.2472, decode.d3.loss_cls: 0.7902, decode.d3.loss_mask: 0.7818, decode.d3.loss_dice: 1.2143, decode.d4.loss_cls: 0.7778, decode.d4.loss_mask: 0.7816, decode.d4.loss_dice: 1.2103, decode.d5.loss_cls: 0.7831, decode.d5.loss_mask: 0.7809, decode.d5.loss_dice: 1.2052, decode.d6.loss_cls: 0.7841, decode.d6.loss_mask: 0.7755, decode.d6.loss_dice: 1.1917, decode.d7.loss_cls: 0.7773, decode.d7.loss_mask: 0.7756, decode.d7.loss_dice: 1.1924, decode.d8.loss_cls: 0.7800, decode.d8.loss_mask: 0.7786, decode.d8.loss_dice: 1.1862, loss: 29.8205 2022-09-13 01:54:03,373 - mmseg - INFO - Iter [40650/80000] lr: 7.063e-07, eta: 21:10:56, time: 1.864, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8302, decode.loss_mask: 0.7867, decode.loss_dice: 1.1969, decode.d0.loss_cls: 2.6619, decode.d0.loss_mask: 0.8030, decode.d0.loss_dice: 1.4009, decode.d1.loss_cls: 0.9082, decode.d1.loss_mask: 0.8199, decode.d1.loss_dice: 1.3034, decode.d2.loss_cls: 0.8600, decode.d2.loss_mask: 0.7999, decode.d2.loss_dice: 1.2542, decode.d3.loss_cls: 0.8478, decode.d3.loss_mask: 0.7907, decode.d3.loss_dice: 1.2216, decode.d4.loss_cls: 0.8413, decode.d4.loss_mask: 0.7857, decode.d4.loss_dice: 1.2171, decode.d5.loss_cls: 0.8397, decode.d5.loss_mask: 0.7859, decode.d5.loss_dice: 1.2051, decode.d6.loss_cls: 0.8375, decode.d6.loss_mask: 0.7815, decode.d6.loss_dice: 1.2013, decode.d7.loss_cls: 0.8329, decode.d7.loss_mask: 0.7840, decode.d7.loss_dice: 1.1971, decode.d8.loss_cls: 0.8314, decode.d8.loss_mask: 0.7858, decode.d8.loss_dice: 1.2004, loss: 30.6121 2022-09-13 01:55:35,094 - mmseg - INFO - Iter [40700/80000] lr: 7.054e-07, eta: 21:09:14, time: 1.835, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7735, decode.loss_mask: 0.7674, decode.loss_dice: 1.1820, decode.d0.loss_cls: 2.5482, decode.d0.loss_mask: 0.7784, decode.d0.loss_dice: 1.3546, decode.d1.loss_cls: 0.8556, decode.d1.loss_mask: 0.7934, decode.d1.loss_dice: 1.2668, decode.d2.loss_cls: 0.8011, decode.d2.loss_mask: 0.7824, decode.d2.loss_dice: 1.2220, decode.d3.loss_cls: 0.7888, decode.d3.loss_mask: 0.7762, decode.d3.loss_dice: 1.1979, decode.d4.loss_cls: 0.7879, decode.d4.loss_mask: 0.7703, decode.d4.loss_dice: 1.1880, decode.d5.loss_cls: 0.7854, decode.d5.loss_mask: 0.7657, decode.d5.loss_dice: 1.1915, decode.d6.loss_cls: 0.7730, decode.d6.loss_mask: 0.7672, decode.d6.loss_dice: 1.1812, decode.d7.loss_cls: 0.7751, decode.d7.loss_mask: 0.7650, decode.d7.loss_dice: 1.1755, decode.d8.loss_cls: 0.7770, decode.d8.loss_mask: 0.7683, decode.d8.loss_dice: 1.1793, loss: 29.5385 2022-09-13 01:57:08,148 - mmseg - INFO - Iter [40750/80000] lr: 7.045e-07, eta: 21:07:33, time: 1.861, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8501, decode.loss_mask: 0.7576, decode.loss_dice: 1.1951, decode.d0.loss_cls: 2.6229, decode.d0.loss_mask: 0.7783, decode.d0.loss_dice: 1.3977, decode.d1.loss_cls: 0.9227, decode.d1.loss_mask: 0.7924, decode.d1.loss_dice: 1.2848, decode.d2.loss_cls: 0.8709, decode.d2.loss_mask: 0.7722, decode.d2.loss_dice: 1.2350, decode.d3.loss_cls: 0.8651, decode.d3.loss_mask: 0.7681, decode.d3.loss_dice: 1.2163, decode.d4.loss_cls: 0.8614, decode.d4.loss_mask: 0.7599, decode.d4.loss_dice: 1.2083, decode.d5.loss_cls: 0.8550, decode.d5.loss_mask: 0.7611, decode.d5.loss_dice: 1.2059, decode.d6.loss_cls: 0.8449, decode.d6.loss_mask: 0.7577, decode.d6.loss_dice: 1.1921, decode.d7.loss_cls: 0.8409, decode.d7.loss_mask: 0.7564, decode.d7.loss_dice: 1.1976, decode.d8.loss_cls: 0.8437, decode.d8.loss_mask: 0.7588, decode.d8.loss_dice: 1.1947, loss: 30.3675 2022-09-13 01:58:42,036 - mmseg - INFO - Iter [40800/80000] lr: 7.036e-07, eta: 21:05:53, time: 1.878, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7685, decode.loss_mask: 0.7558, decode.loss_dice: 1.1851, decode.d0.loss_cls: 2.5286, decode.d0.loss_mask: 0.7740, decode.d0.loss_dice: 1.3634, decode.d1.loss_cls: 0.8441, decode.d1.loss_mask: 0.7904, decode.d1.loss_dice: 1.2783, decode.d2.loss_cls: 0.7959, decode.d2.loss_mask: 0.7751, decode.d2.loss_dice: 1.2286, decode.d3.loss_cls: 0.7884, decode.d3.loss_mask: 0.7715, decode.d3.loss_dice: 1.2104, decode.d4.loss_cls: 0.7833, decode.d4.loss_mask: 0.7655, decode.d4.loss_dice: 1.2058, decode.d5.loss_cls: 0.7762, decode.d5.loss_mask: 0.7636, decode.d5.loss_dice: 1.2035, decode.d6.loss_cls: 0.7778, decode.d6.loss_mask: 0.7578, decode.d6.loss_dice: 1.1931, decode.d7.loss_cls: 0.7765, decode.d7.loss_mask: 0.7574, decode.d7.loss_dice: 1.1844, decode.d8.loss_cls: 0.7740, decode.d8.loss_mask: 0.7531, decode.d8.loss_dice: 1.1811, loss: 29.5109 2022-09-13 02:00:17,340 - mmseg - INFO - Iter [40850/80000] lr: 7.027e-07, eta: 21:04:15, time: 1.906, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8242, decode.loss_mask: 0.7969, decode.loss_dice: 1.2045, decode.d0.loss_cls: 2.6034, decode.d0.loss_mask: 0.8045, decode.d0.loss_dice: 1.3873, decode.d1.loss_cls: 0.8933, decode.d1.loss_mask: 0.8254, decode.d1.loss_dice: 1.2928, decode.d2.loss_cls: 0.8518, decode.d2.loss_mask: 0.8084, decode.d2.loss_dice: 1.2443, decode.d3.loss_cls: 0.8450, decode.d3.loss_mask: 0.7966, decode.d3.loss_dice: 1.2297, decode.d4.loss_cls: 0.8336, decode.d4.loss_mask: 0.7944, decode.d4.loss_dice: 1.2211, decode.d5.loss_cls: 0.8283, decode.d5.loss_mask: 0.7947, decode.d5.loss_dice: 1.2155, decode.d6.loss_cls: 0.8250, decode.d6.loss_mask: 0.7924, decode.d6.loss_dice: 1.2125, decode.d7.loss_cls: 0.8302, decode.d7.loss_mask: 0.7917, decode.d7.loss_dice: 1.2093, decode.d8.loss_cls: 0.8294, decode.d8.loss_mask: 0.7964, decode.d8.loss_dice: 1.2051, loss: 30.5873 2022-09-13 02:01:51,101 - mmseg - INFO - Iter [40900/80000] lr: 7.018e-07, eta: 21:02:35, time: 1.875, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8051, decode.loss_mask: 0.7847, decode.loss_dice: 1.1968, decode.d0.loss_cls: 2.5917, decode.d0.loss_mask: 0.7987, decode.d0.loss_dice: 1.3912, decode.d1.loss_cls: 0.8909, decode.d1.loss_mask: 0.8139, decode.d1.loss_dice: 1.2914, decode.d2.loss_cls: 0.8428, decode.d2.loss_mask: 0.8015, decode.d2.loss_dice: 1.2454, decode.d3.loss_cls: 0.8257, decode.d3.loss_mask: 0.7939, decode.d3.loss_dice: 1.2268, decode.d4.loss_cls: 0.8205, decode.d4.loss_mask: 0.7917, decode.d4.loss_dice: 1.2175, decode.d5.loss_cls: 0.8204, decode.d5.loss_mask: 0.7875, decode.d5.loss_dice: 1.2109, decode.d6.loss_cls: 0.8117, decode.d6.loss_mask: 0.7794, decode.d6.loss_dice: 1.1960, decode.d7.loss_cls: 0.8062, decode.d7.loss_mask: 0.7819, decode.d7.loss_dice: 1.1943, decode.d8.loss_cls: 0.8059, decode.d8.loss_mask: 0.7816, decode.d8.loss_dice: 1.1934, loss: 30.2992 2022-09-13 02:03:23,291 - mmseg - INFO - Iter [40950/80000] lr: 7.009e-07, eta: 21:00:54, time: 1.844, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7854, decode.loss_mask: 0.7578, decode.loss_dice: 1.1772, decode.d0.loss_cls: 2.6059, decode.d0.loss_mask: 0.7610, decode.d0.loss_dice: 1.3576, decode.d1.loss_cls: 0.8575, decode.d1.loss_mask: 0.7920, decode.d1.loss_dice: 1.2712, decode.d2.loss_cls: 0.8106, decode.d2.loss_mask: 0.7748, decode.d2.loss_dice: 1.2314, decode.d3.loss_cls: 0.8072, decode.d3.loss_mask: 0.7650, decode.d3.loss_dice: 1.1973, decode.d4.loss_cls: 0.7967, decode.d4.loss_mask: 0.7617, decode.d4.loss_dice: 1.1967, decode.d5.loss_cls: 0.7957, decode.d5.loss_mask: 0.7584, decode.d5.loss_dice: 1.1853, decode.d6.loss_cls: 0.7856, decode.d6.loss_mask: 0.7596, decode.d6.loss_dice: 1.1855, decode.d7.loss_cls: 0.7838, decode.d7.loss_mask: 0.7547, decode.d7.loss_dice: 1.1867, decode.d8.loss_cls: 0.7886, decode.d8.loss_mask: 0.7559, decode.d8.loss_dice: 1.1782, loss: 29.6248 2022-09-13 02:04:55,652 - mmseg - INFO - Saving checkpoint at 41000 iterations 2022-09-13 02:05:28,411 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 02:05:28,419 - mmseg - INFO - Iter [41000/80000] lr: 7.000e-07, eta: 20:59:44, time: 2.500, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7748, decode.loss_mask: 0.7681, decode.loss_dice: 1.2135, decode.d0.loss_cls: 2.6032, decode.d0.loss_mask: 0.7769, decode.d0.loss_dice: 1.3901, decode.d1.loss_cls: 0.8499, decode.d1.loss_mask: 0.7892, decode.d1.loss_dice: 1.3005, decode.d2.loss_cls: 0.7916, decode.d2.loss_mask: 0.7855, decode.d2.loss_dice: 1.2555, decode.d3.loss_cls: 0.7929, decode.d3.loss_mask: 0.7735, decode.d3.loss_dice: 1.2310, decode.d4.loss_cls: 0.7875, decode.d4.loss_mask: 0.7679, decode.d4.loss_dice: 1.2279, decode.d5.loss_cls: 0.7769, decode.d5.loss_mask: 0.7642, decode.d5.loss_dice: 1.2159, decode.d6.loss_cls: 0.7791, decode.d6.loss_mask: 0.7657, decode.d6.loss_dice: 1.2118, decode.d7.loss_cls: 0.7775, decode.d7.loss_mask: 0.7636, decode.d7.loss_dice: 1.2179, decode.d8.loss_cls: 0.7745, decode.d8.loss_mask: 0.7636, decode.d8.loss_dice: 1.2111, loss: 29.9013 2022-09-13 02:07:01,318 - mmseg - INFO - Iter [41050/80000] lr: 6.991e-07, eta: 20:58:03, time: 1.860, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8199, decode.loss_mask: 0.7520, decode.loss_dice: 1.2089, decode.d0.loss_cls: 2.6384, decode.d0.loss_mask: 0.7774, decode.d0.loss_dice: 1.4009, decode.d1.loss_cls: 0.9039, decode.d1.loss_mask: 0.7788, decode.d1.loss_dice: 1.2921, decode.d2.loss_cls: 0.8551, decode.d2.loss_mask: 0.7621, decode.d2.loss_dice: 1.2457, decode.d3.loss_cls: 0.8419, decode.d3.loss_mask: 0.7571, decode.d3.loss_dice: 1.2222, decode.d4.loss_cls: 0.8319, decode.d4.loss_mask: 0.7565, decode.d4.loss_dice: 1.2239, decode.d5.loss_cls: 0.8196, decode.d5.loss_mask: 0.7550, decode.d5.loss_dice: 1.2176, decode.d6.loss_cls: 0.8219, decode.d6.loss_mask: 0.7537, decode.d6.loss_dice: 1.2015, decode.d7.loss_cls: 0.8150, decode.d7.loss_mask: 0.7530, decode.d7.loss_dice: 1.2092, decode.d8.loss_cls: 0.8170, decode.d8.loss_mask: 0.7508, decode.d8.loss_dice: 1.2106, loss: 30.1935 2022-09-13 02:08:34,217 - mmseg - INFO - Iter [41100/80000] lr: 6.982e-07, eta: 20:56:22, time: 1.858, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7867, decode.loss_mask: 0.7729, decode.loss_dice: 1.1708, decode.d0.loss_cls: 2.6364, decode.d0.loss_mask: 0.7828, decode.d0.loss_dice: 1.3626, decode.d1.loss_cls: 0.8568, decode.d1.loss_mask: 0.7986, decode.d1.loss_dice: 1.2700, decode.d2.loss_cls: 0.8060, decode.d2.loss_mask: 0.7862, decode.d2.loss_dice: 1.2102, decode.d3.loss_cls: 0.8004, decode.d3.loss_mask: 0.7796, decode.d3.loss_dice: 1.1914, decode.d4.loss_cls: 0.7901, decode.d4.loss_mask: 0.7745, decode.d4.loss_dice: 1.1894, decode.d5.loss_cls: 0.7882, decode.d5.loss_mask: 0.7743, decode.d5.loss_dice: 1.1838, decode.d6.loss_cls: 0.7827, decode.d6.loss_mask: 0.7732, decode.d6.loss_dice: 1.1732, decode.d7.loss_cls: 0.7854, decode.d7.loss_mask: 0.7724, decode.d7.loss_dice: 1.1746, decode.d8.loss_cls: 0.7789, decode.d8.loss_mask: 0.7735, decode.d8.loss_dice: 1.1762, loss: 29.7019 2022-09-13 02:10:06,363 - mmseg - INFO - Iter [41150/80000] lr: 6.973e-07, eta: 20:54:41, time: 1.841, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7742, decode.loss_mask: 0.7712, decode.loss_dice: 1.1952, decode.d0.loss_cls: 2.5718, decode.d0.loss_mask: 0.7831, decode.d0.loss_dice: 1.3771, decode.d1.loss_cls: 0.8503, decode.d1.loss_mask: 0.7967, decode.d1.loss_dice: 1.2796, decode.d2.loss_cls: 0.7965, decode.d2.loss_mask: 0.7812, decode.d2.loss_dice: 1.2323, decode.d3.loss_cls: 0.7835, decode.d3.loss_mask: 0.7729, decode.d3.loss_dice: 1.2154, decode.d4.loss_cls: 0.7739, decode.d4.loss_mask: 0.7755, decode.d4.loss_dice: 1.2160, decode.d5.loss_cls: 0.7721, decode.d5.loss_mask: 0.7731, decode.d5.loss_dice: 1.2053, decode.d6.loss_cls: 0.7738, decode.d6.loss_mask: 0.7659, decode.d6.loss_dice: 1.1963, decode.d7.loss_cls: 0.7764, decode.d7.loss_mask: 0.7674, decode.d7.loss_dice: 1.1983, decode.d8.loss_cls: 0.7692, decode.d8.loss_mask: 0.7696, decode.d8.loss_dice: 1.1982, loss: 29.7121 2022-09-13 02:11:39,644 - mmseg - INFO - Iter [41200/80000] lr: 6.964e-07, eta: 20:53:01, time: 1.867, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7676, decode.loss_mask: 0.7742, decode.loss_dice: 1.2185, decode.d0.loss_cls: 2.5524, decode.d0.loss_mask: 0.7808, decode.d0.loss_dice: 1.3908, decode.d1.loss_cls: 0.8576, decode.d1.loss_mask: 0.7985, decode.d1.loss_dice: 1.3008, decode.d2.loss_cls: 0.7935, decode.d2.loss_mask: 0.7824, decode.d2.loss_dice: 1.2546, decode.d3.loss_cls: 0.7931, decode.d3.loss_mask: 0.7787, decode.d3.loss_dice: 1.2335, decode.d4.loss_cls: 0.7857, decode.d4.loss_mask: 0.7723, decode.d4.loss_dice: 1.2273, decode.d5.loss_cls: 0.7781, decode.d5.loss_mask: 0.7769, decode.d5.loss_dice: 1.2267, decode.d6.loss_cls: 0.7683, decode.d6.loss_mask: 0.7716, decode.d6.loss_dice: 1.2224, decode.d7.loss_cls: 0.7709, decode.d7.loss_mask: 0.7740, decode.d7.loss_dice: 1.2188, decode.d8.loss_cls: 0.7691, decode.d8.loss_mask: 0.7713, decode.d8.loss_dice: 1.2152, loss: 29.9259 2022-09-13 02:13:11,081 - mmseg - INFO - Iter [41250/80000] lr: 6.955e-07, eta: 20:51:19, time: 1.829, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8020, decode.loss_mask: 0.7688, decode.loss_dice: 1.1864, decode.d0.loss_cls: 2.5949, decode.d0.loss_mask: 0.7818, decode.d0.loss_dice: 1.3852, decode.d1.loss_cls: 0.8816, decode.d1.loss_mask: 0.8009, decode.d1.loss_dice: 1.2807, decode.d2.loss_cls: 0.8308, decode.d2.loss_mask: 0.7802, decode.d2.loss_dice: 1.2278, decode.d3.loss_cls: 0.8170, decode.d3.loss_mask: 0.7799, decode.d3.loss_dice: 1.2090, decode.d4.loss_cls: 0.8128, decode.d4.loss_mask: 0.7751, decode.d4.loss_dice: 1.1994, decode.d5.loss_cls: 0.8047, decode.d5.loss_mask: 0.7685, decode.d5.loss_dice: 1.1948, decode.d6.loss_cls: 0.8016, decode.d6.loss_mask: 0.7677, decode.d6.loss_dice: 1.1958, decode.d7.loss_cls: 0.7952, decode.d7.loss_mask: 0.7690, decode.d7.loss_dice: 1.1935, decode.d8.loss_cls: 0.7959, decode.d8.loss_mask: 0.7712, decode.d8.loss_dice: 1.1904, loss: 29.9625 2022-09-13 02:14:42,401 - mmseg - INFO - Iter [41300/80000] lr: 6.946e-07, eta: 20:49:37, time: 1.826, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7932, decode.loss_mask: 0.7688, decode.loss_dice: 1.1768, decode.d0.loss_cls: 2.6040, decode.d0.loss_mask: 0.7727, decode.d0.loss_dice: 1.3626, decode.d1.loss_cls: 0.8622, decode.d1.loss_mask: 0.8008, decode.d1.loss_dice: 1.2679, decode.d2.loss_cls: 0.8112, decode.d2.loss_mask: 0.7866, decode.d2.loss_dice: 1.2177, decode.d3.loss_cls: 0.8029, decode.d3.loss_mask: 0.7758, decode.d3.loss_dice: 1.1920, decode.d4.loss_cls: 0.7935, decode.d4.loss_mask: 0.7760, decode.d4.loss_dice: 1.1902, decode.d5.loss_cls: 0.7966, decode.d5.loss_mask: 0.7701, decode.d5.loss_dice: 1.1817, decode.d6.loss_cls: 0.7903, decode.d6.loss_mask: 0.7678, decode.d6.loss_dice: 1.1762, decode.d7.loss_cls: 0.7889, decode.d7.loss_mask: 0.7661, decode.d7.loss_dice: 1.1754, decode.d8.loss_cls: 0.7852, decode.d8.loss_mask: 0.7712, decode.d8.loss_dice: 1.1790, loss: 29.7035 2022-09-13 02:16:15,540 - mmseg - INFO - Iter [41350/80000] lr: 6.937e-07, eta: 20:47:56, time: 1.863, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7684, decode.loss_mask: 0.7865, decode.loss_dice: 1.2065, decode.d0.loss_cls: 2.5460, decode.d0.loss_mask: 0.7933, decode.d0.loss_dice: 1.3849, decode.d1.loss_cls: 0.8426, decode.d1.loss_mask: 0.8115, decode.d1.loss_dice: 1.2844, decode.d2.loss_cls: 0.7915, decode.d2.loss_mask: 0.7904, decode.d2.loss_dice: 1.2456, decode.d3.loss_cls: 0.7726, decode.d3.loss_mask: 0.7846, decode.d3.loss_dice: 1.2249, decode.d4.loss_cls: 0.7690, decode.d4.loss_mask: 0.7852, decode.d4.loss_dice: 1.2218, decode.d5.loss_cls: 0.7654, decode.d5.loss_mask: 0.7874, decode.d5.loss_dice: 1.2153, decode.d6.loss_cls: 0.7610, decode.d6.loss_mask: 0.7830, decode.d6.loss_dice: 1.2016, decode.d7.loss_cls: 0.7581, decode.d7.loss_mask: 0.7840, decode.d7.loss_dice: 1.2100, decode.d8.loss_cls: 0.7652, decode.d8.loss_mask: 0.7895, decode.d8.loss_dice: 1.2114, loss: 29.8413 2022-09-13 02:17:47,521 - mmseg - INFO - Iter [41400/80000] lr: 6.928e-07, eta: 20:46:15, time: 1.837, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7876, decode.loss_mask: 0.7767, decode.loss_dice: 1.1949, decode.d0.loss_cls: 2.5876, decode.d0.loss_mask: 0.7832, decode.d0.loss_dice: 1.3865, decode.d1.loss_cls: 0.8548, decode.d1.loss_mask: 0.8104, decode.d1.loss_dice: 1.2800, decode.d2.loss_cls: 0.8078, decode.d2.loss_mask: 0.7941, decode.d2.loss_dice: 1.2317, decode.d3.loss_cls: 0.7952, decode.d3.loss_mask: 0.7846, decode.d3.loss_dice: 1.2108, decode.d4.loss_cls: 0.8013, decode.d4.loss_mask: 0.7839, decode.d4.loss_dice: 1.2110, decode.d5.loss_cls: 0.7987, decode.d5.loss_mask: 0.7812, decode.d5.loss_dice: 1.2022, decode.d6.loss_cls: 0.7952, decode.d6.loss_mask: 0.7815, decode.d6.loss_dice: 1.1896, decode.d7.loss_cls: 0.7914, decode.d7.loss_mask: 0.7804, decode.d7.loss_dice: 1.1892, decode.d8.loss_cls: 0.7848, decode.d8.loss_mask: 0.7792, decode.d8.loss_dice: 1.1942, loss: 29.9498 2022-09-13 02:19:19,778 - mmseg - INFO - Iter [41450/80000] lr: 6.919e-07, eta: 20:44:34, time: 1.848, data_time: 0.018, memory: 42763, decode.loss_cls: 0.7726, decode.loss_mask: 0.7717, decode.loss_dice: 1.1939, decode.d0.loss_cls: 2.5824, decode.d0.loss_mask: 0.7793, decode.d0.loss_dice: 1.3752, decode.d1.loss_cls: 0.8564, decode.d1.loss_mask: 0.7995, decode.d1.loss_dice: 1.2873, decode.d2.loss_cls: 0.8040, decode.d2.loss_mask: 0.7802, decode.d2.loss_dice: 1.2377, decode.d3.loss_cls: 0.7898, decode.d3.loss_mask: 0.7732, decode.d3.loss_dice: 1.2172, decode.d4.loss_cls: 0.7913, decode.d4.loss_mask: 0.7707, decode.d4.loss_dice: 1.2111, decode.d5.loss_cls: 0.7800, decode.d5.loss_mask: 0.7705, decode.d5.loss_dice: 1.2018, decode.d6.loss_cls: 0.7780, decode.d6.loss_mask: 0.7687, decode.d6.loss_dice: 1.1924, decode.d7.loss_cls: 0.7775, decode.d7.loss_mask: 0.7699, decode.d7.loss_dice: 1.1953, decode.d8.loss_cls: 0.7787, decode.d8.loss_mask: 0.7697, decode.d8.loss_dice: 1.1928, loss: 29.7690 2022-09-13 02:20:53,049 - mmseg - INFO - Iter [41500/80000] lr: 6.910e-07, eta: 20:42:54, time: 1.866, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7948, decode.loss_mask: 0.7545, decode.loss_dice: 1.2079, decode.d0.loss_cls: 2.6313, decode.d0.loss_mask: 0.7551, decode.d0.loss_dice: 1.3968, decode.d1.loss_cls: 0.8733, decode.d1.loss_mask: 0.7878, decode.d1.loss_dice: 1.3008, decode.d2.loss_cls: 0.8227, decode.d2.loss_mask: 0.7667, decode.d2.loss_dice: 1.2446, decode.d3.loss_cls: 0.8130, decode.d3.loss_mask: 0.7625, decode.d3.loss_dice: 1.2251, decode.d4.loss_cls: 0.8055, decode.d4.loss_mask: 0.7585, decode.d4.loss_dice: 1.2177, decode.d5.loss_cls: 0.7978, decode.d5.loss_mask: 0.7590, decode.d5.loss_dice: 1.2148, decode.d6.loss_cls: 0.7925, decode.d6.loss_mask: 0.7589, decode.d6.loss_dice: 1.2016, decode.d7.loss_cls: 0.7875, decode.d7.loss_mask: 0.7568, decode.d7.loss_dice: 1.2063, decode.d8.loss_cls: 0.7936, decode.d8.loss_mask: 0.7595, decode.d8.loss_dice: 1.2077, loss: 29.9546 2022-09-13 02:22:25,159 - mmseg - INFO - Iter [41550/80000] lr: 6.901e-07, eta: 20:41:12, time: 1.842, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7815, decode.loss_mask: 0.7780, decode.loss_dice: 1.1805, decode.d0.loss_cls: 2.5903, decode.d0.loss_mask: 0.7953, decode.d0.loss_dice: 1.3722, decode.d1.loss_cls: 0.8582, decode.d1.loss_mask: 0.8133, decode.d1.loss_dice: 1.2738, decode.d2.loss_cls: 0.8047, decode.d2.loss_mask: 0.7945, decode.d2.loss_dice: 1.2224, decode.d3.loss_cls: 0.7979, decode.d3.loss_mask: 0.7889, decode.d3.loss_dice: 1.2105, decode.d4.loss_cls: 0.7875, decode.d4.loss_mask: 0.7835, decode.d4.loss_dice: 1.2010, decode.d5.loss_cls: 0.7818, decode.d5.loss_mask: 0.7812, decode.d5.loss_dice: 1.1983, decode.d6.loss_cls: 0.7835, decode.d6.loss_mask: 0.7785, decode.d6.loss_dice: 1.1886, decode.d7.loss_cls: 0.7737, decode.d7.loss_mask: 0.7870, decode.d7.loss_dice: 1.1891, decode.d8.loss_cls: 0.7807, decode.d8.loss_mask: 0.7793, decode.d8.loss_dice: 1.1869, loss: 29.8426 2022-09-13 02:23:58,182 - mmseg - INFO - Iter [41600/80000] lr: 6.892e-07, eta: 20:39:32, time: 1.860, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7533, decode.loss_mask: 0.7520, decode.loss_dice: 1.1415, decode.d0.loss_cls: 2.5172, decode.d0.loss_mask: 0.7731, decode.d0.loss_dice: 1.3198, decode.d1.loss_cls: 0.8228, decode.d1.loss_mask: 0.7846, decode.d1.loss_dice: 1.2320, decode.d2.loss_cls: 0.7749, decode.d2.loss_mask: 0.7707, decode.d2.loss_dice: 1.1839, decode.d3.loss_cls: 0.7676, decode.d3.loss_mask: 0.7601, decode.d3.loss_dice: 1.1520, decode.d4.loss_cls: 0.7614, decode.d4.loss_mask: 0.7579, decode.d4.loss_dice: 1.1573, decode.d5.loss_cls: 0.7596, decode.d5.loss_mask: 0.7540, decode.d5.loss_dice: 1.1478, decode.d6.loss_cls: 0.7547, decode.d6.loss_mask: 0.7518, decode.d6.loss_dice: 1.1386, decode.d7.loss_cls: 0.7552, decode.d7.loss_mask: 0.7499, decode.d7.loss_dice: 1.1400, decode.d8.loss_cls: 0.7591, decode.d8.loss_mask: 0.7541, decode.d8.loss_dice: 1.1410, loss: 28.7880 2022-09-13 02:25:31,385 - mmseg - INFO - Iter [41650/80000] lr: 6.883e-07, eta: 20:37:52, time: 1.864, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7881, decode.loss_mask: 0.7601, decode.loss_dice: 1.1958, decode.d0.loss_cls: 2.5733, decode.d0.loss_mask: 0.7785, decode.d0.loss_dice: 1.3817, decode.d1.loss_cls: 0.8499, decode.d1.loss_mask: 0.7921, decode.d1.loss_dice: 1.2903, decode.d2.loss_cls: 0.8061, decode.d2.loss_mask: 0.7775, decode.d2.loss_dice: 1.2356, decode.d3.loss_cls: 0.7908, decode.d3.loss_mask: 0.7724, decode.d3.loss_dice: 1.2041, decode.d4.loss_cls: 0.7967, decode.d4.loss_mask: 0.7711, decode.d4.loss_dice: 1.2090, decode.d5.loss_cls: 0.7935, decode.d5.loss_mask: 0.7638, decode.d5.loss_dice: 1.2033, decode.d6.loss_cls: 0.7888, decode.d6.loss_mask: 0.7649, decode.d6.loss_dice: 1.1952, decode.d7.loss_cls: 0.7842, decode.d7.loss_mask: 0.7627, decode.d7.loss_dice: 1.1923, decode.d8.loss_cls: 0.7802, decode.d8.loss_mask: 0.7599, decode.d8.loss_dice: 1.1948, loss: 29.7565 2022-09-13 02:27:04,532 - mmseg - INFO - Iter [41700/80000] lr: 6.874e-07, eta: 20:36:11, time: 1.863, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8193, decode.loss_mask: 0.7858, decode.loss_dice: 1.2236, decode.d0.loss_cls: 2.6173, decode.d0.loss_mask: 0.7993, decode.d0.loss_dice: 1.3976, decode.d1.loss_cls: 0.8817, decode.d1.loss_mask: 0.8157, decode.d1.loss_dice: 1.3078, decode.d2.loss_cls: 0.8322, decode.d2.loss_mask: 0.8038, decode.d2.loss_dice: 1.2603, decode.d3.loss_cls: 0.8221, decode.d3.loss_mask: 0.7939, decode.d3.loss_dice: 1.2363, decode.d4.loss_cls: 0.8243, decode.d4.loss_mask: 0.7908, decode.d4.loss_dice: 1.2261, decode.d5.loss_cls: 0.8212, decode.d5.loss_mask: 0.7934, decode.d5.loss_dice: 1.2211, decode.d6.loss_cls: 0.8158, decode.d6.loss_mask: 0.7858, decode.d6.loss_dice: 1.2153, decode.d7.loss_cls: 0.8148, decode.d7.loss_mask: 0.7859, decode.d7.loss_dice: 1.2134, decode.d8.loss_cls: 0.8116, decode.d8.loss_mask: 0.7868, decode.d8.loss_dice: 1.2143, loss: 30.5172 2022-09-13 02:28:38,369 - mmseg - INFO - Iter [41750/80000] lr: 6.865e-07, eta: 20:34:32, time: 1.877, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8001, decode.loss_mask: 0.7460, decode.loss_dice: 1.1944, decode.d0.loss_cls: 2.5837, decode.d0.loss_mask: 0.7520, decode.d0.loss_dice: 1.3788, decode.d1.loss_cls: 0.8665, decode.d1.loss_mask: 0.7708, decode.d1.loss_dice: 1.2913, decode.d2.loss_cls: 0.8220, decode.d2.loss_mask: 0.7638, decode.d2.loss_dice: 1.2434, decode.d3.loss_cls: 0.8042, decode.d3.loss_mask: 0.7558, decode.d3.loss_dice: 1.2177, decode.d4.loss_cls: 0.8047, decode.d4.loss_mask: 0.7552, decode.d4.loss_dice: 1.2143, decode.d5.loss_cls: 0.8051, decode.d5.loss_mask: 0.7488, decode.d5.loss_dice: 1.2126, decode.d6.loss_cls: 0.7971, decode.d6.loss_mask: 0.7450, decode.d6.loss_dice: 1.1972, decode.d7.loss_cls: 0.7961, decode.d7.loss_mask: 0.7411, decode.d7.loss_dice: 1.1953, decode.d8.loss_cls: 0.7968, decode.d8.loss_mask: 0.7417, decode.d8.loss_dice: 1.1950, loss: 29.7364 2022-09-13 02:30:11,473 - mmseg - INFO - Iter [41800/80000] lr: 6.856e-07, eta: 20:32:52, time: 1.862, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7593, decode.loss_mask: 0.7565, decode.loss_dice: 1.1453, decode.d0.loss_cls: 2.5344, decode.d0.loss_mask: 0.7716, decode.d0.loss_dice: 1.3443, decode.d1.loss_cls: 0.8246, decode.d1.loss_mask: 0.7972, decode.d1.loss_dice: 1.2384, decode.d2.loss_cls: 0.7708, decode.d2.loss_mask: 0.7817, decode.d2.loss_dice: 1.1875, decode.d3.loss_cls: 0.7654, decode.d3.loss_mask: 0.7747, decode.d3.loss_dice: 1.1686, decode.d4.loss_cls: 0.7577, decode.d4.loss_mask: 0.7711, decode.d4.loss_dice: 1.1625, decode.d5.loss_cls: 0.7542, decode.d5.loss_mask: 0.7669, decode.d5.loss_dice: 1.1551, decode.d6.loss_cls: 0.7562, decode.d6.loss_mask: 0.7594, decode.d6.loss_dice: 1.1455, decode.d7.loss_cls: 0.7613, decode.d7.loss_mask: 0.7563, decode.d7.loss_dice: 1.1401, decode.d8.loss_cls: 0.7539, decode.d8.loss_mask: 0.7555, decode.d8.loss_dice: 1.1496, loss: 28.9657 2022-09-13 02:31:44,342 - mmseg - INFO - Iter [41850/80000] lr: 6.847e-07, eta: 20:31:11, time: 1.857, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7995, decode.loss_mask: 0.7710, decode.loss_dice: 1.2007, decode.d0.loss_cls: 2.6040, decode.d0.loss_mask: 0.7838, decode.d0.loss_dice: 1.3978, decode.d1.loss_cls: 0.8597, decode.d1.loss_mask: 0.8056, decode.d1.loss_dice: 1.3158, decode.d2.loss_cls: 0.8211, decode.d2.loss_mask: 0.7846, decode.d2.loss_dice: 1.2532, decode.d3.loss_cls: 0.8124, decode.d3.loss_mask: 0.7790, decode.d3.loss_dice: 1.2281, decode.d4.loss_cls: 0.8103, decode.d4.loss_mask: 0.7751, decode.d4.loss_dice: 1.2223, decode.d5.loss_cls: 0.8074, decode.d5.loss_mask: 0.7737, decode.d5.loss_dice: 1.2156, decode.d6.loss_cls: 0.8082, decode.d6.loss_mask: 0.7696, decode.d6.loss_dice: 1.2053, decode.d7.loss_cls: 0.8068, decode.d7.loss_mask: 0.7693, decode.d7.loss_dice: 1.2077, decode.d8.loss_cls: 0.8032, decode.d8.loss_mask: 0.7723, decode.d8.loss_dice: 1.1979, loss: 30.1609 2022-09-13 02:33:18,402 - mmseg - INFO - Iter [41900/80000] lr: 6.838e-07, eta: 20:29:32, time: 1.881, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7768, decode.loss_mask: 0.7453, decode.loss_dice: 1.1950, decode.d0.loss_cls: 2.5825, decode.d0.loss_mask: 0.7595, decode.d0.loss_dice: 1.3785, decode.d1.loss_cls: 0.8577, decode.d1.loss_mask: 0.7770, decode.d1.loss_dice: 1.2856, decode.d2.loss_cls: 0.8060, decode.d2.loss_mask: 0.7607, decode.d2.loss_dice: 1.2404, decode.d3.loss_cls: 0.8007, decode.d3.loss_mask: 0.7514, decode.d3.loss_dice: 1.2146, decode.d4.loss_cls: 0.7915, decode.d4.loss_mask: 0.7537, decode.d4.loss_dice: 1.2189, decode.d5.loss_cls: 0.7878, decode.d5.loss_mask: 0.7470, decode.d5.loss_dice: 1.2079, decode.d6.loss_cls: 0.7817, decode.d6.loss_mask: 0.7453, decode.d6.loss_dice: 1.1942, decode.d7.loss_cls: 0.7805, decode.d7.loss_mask: 0.7469, decode.d7.loss_dice: 1.1991, decode.d8.loss_cls: 0.7754, decode.d8.loss_mask: 0.7467, decode.d8.loss_dice: 1.1998, loss: 29.6078 2022-09-13 02:34:52,001 - mmseg - INFO - Iter [41950/80000] lr: 6.829e-07, eta: 20:27:52, time: 1.872, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7725, decode.loss_mask: 0.7627, decode.loss_dice: 1.1891, decode.d0.loss_cls: 2.5081, decode.d0.loss_mask: 0.7794, decode.d0.loss_dice: 1.3635, decode.d1.loss_cls: 0.8438, decode.d1.loss_mask: 0.8044, decode.d1.loss_dice: 1.2828, decode.d2.loss_cls: 0.7989, decode.d2.loss_mask: 0.7827, decode.d2.loss_dice: 1.2356, decode.d3.loss_cls: 0.7845, decode.d3.loss_mask: 0.7763, decode.d3.loss_dice: 1.2129, decode.d4.loss_cls: 0.7781, decode.d4.loss_mask: 0.7711, decode.d4.loss_dice: 1.2041, decode.d5.loss_cls: 0.7807, decode.d5.loss_mask: 0.7693, decode.d5.loss_dice: 1.1966, decode.d6.loss_cls: 0.7768, decode.d6.loss_mask: 0.7625, decode.d6.loss_dice: 1.1881, decode.d7.loss_cls: 0.7729, decode.d7.loss_mask: 0.7639, decode.d7.loss_dice: 1.1879, decode.d8.loss_cls: 0.7689, decode.d8.loss_mask: 0.7646, decode.d8.loss_dice: 1.1894, loss: 29.5721 2022-09-13 02:36:25,133 - mmseg - INFO - Saving checkpoint at 42000 iterations 2022-09-13 02:36:57,613 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 02:36:57,621 - mmseg - INFO - Iter [42000/80000] lr: 6.820e-07, eta: 20:26:41, time: 2.510, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8045, decode.loss_mask: 0.7664, decode.loss_dice: 1.2124, decode.d0.loss_cls: 2.5814, decode.d0.loss_mask: 0.7798, decode.d0.loss_dice: 1.3964, decode.d1.loss_cls: 0.8794, decode.d1.loss_mask: 0.7947, decode.d1.loss_dice: 1.3096, decode.d2.loss_cls: 0.8338, decode.d2.loss_mask: 0.7796, decode.d2.loss_dice: 1.2560, decode.d3.loss_cls: 0.8213, decode.d3.loss_mask: 0.7727, decode.d3.loss_dice: 1.2271, decode.d4.loss_cls: 0.8158, decode.d4.loss_mask: 0.7728, decode.d4.loss_dice: 1.2229, decode.d5.loss_cls: 0.8101, decode.d5.loss_mask: 0.7710, decode.d5.loss_dice: 1.2204, decode.d6.loss_cls: 0.8086, decode.d6.loss_mask: 0.7649, decode.d6.loss_dice: 1.2091, decode.d7.loss_cls: 0.8163, decode.d7.loss_mask: 0.7610, decode.d7.loss_dice: 1.2106, decode.d8.loss_cls: 0.8097, decode.d8.loss_mask: 0.7673, decode.d8.loss_dice: 1.2098, loss: 30.1857 2022-09-13 02:38:31,017 - mmseg - INFO - Iter [42050/80000] lr: 6.811e-07, eta: 20:25:01, time: 1.868, data_time: 0.017, memory: 42763, decode.loss_cls: 0.7729, decode.loss_mask: 0.7624, decode.loss_dice: 1.1791, decode.d0.loss_cls: 2.5658, decode.d0.loss_mask: 0.7765, decode.d0.loss_dice: 1.3588, decode.d1.loss_cls: 0.8441, decode.d1.loss_mask: 0.8061, decode.d1.loss_dice: 1.2619, decode.d2.loss_cls: 0.7984, decode.d2.loss_mask: 0.7822, decode.d2.loss_dice: 1.2219, decode.d3.loss_cls: 0.7879, decode.d3.loss_mask: 0.7784, decode.d3.loss_dice: 1.2053, decode.d4.loss_cls: 0.7892, decode.d4.loss_mask: 0.7714, decode.d4.loss_dice: 1.2064, decode.d5.loss_cls: 0.7805, decode.d5.loss_mask: 0.7615, decode.d5.loss_dice: 1.1915, decode.d6.loss_cls: 0.7783, decode.d6.loss_mask: 0.7658, decode.d6.loss_dice: 1.1748, decode.d7.loss_cls: 0.7779, decode.d7.loss_mask: 0.7652, decode.d7.loss_dice: 1.1748, decode.d8.loss_cls: 0.7683, decode.d8.loss_mask: 0.7676, decode.d8.loss_dice: 1.1786, loss: 29.5534 2022-09-13 02:40:04,240 - mmseg - INFO - Iter [42100/80000] lr: 6.802e-07, eta: 20:23:21, time: 1.866, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7715, decode.loss_mask: 0.7912, decode.loss_dice: 1.1775, decode.d0.loss_cls: 2.5605, decode.d0.loss_mask: 0.7953, decode.d0.loss_dice: 1.3453, decode.d1.loss_cls: 0.8401, decode.d1.loss_mask: 0.8163, decode.d1.loss_dice: 1.2618, decode.d2.loss_cls: 0.7953, decode.d2.loss_mask: 0.8010, decode.d2.loss_dice: 1.2128, decode.d3.loss_cls: 0.7836, decode.d3.loss_mask: 0.7995, decode.d3.loss_dice: 1.1973, decode.d4.loss_cls: 0.7773, decode.d4.loss_mask: 0.7995, decode.d4.loss_dice: 1.1945, decode.d5.loss_cls: 0.7756, decode.d5.loss_mask: 0.7954, decode.d5.loss_dice: 1.1902, decode.d6.loss_cls: 0.7726, decode.d6.loss_mask: 0.7908, decode.d6.loss_dice: 1.1789, decode.d7.loss_cls: 0.7738, decode.d7.loss_mask: 0.7898, decode.d7.loss_dice: 1.1731, decode.d8.loss_cls: 0.7674, decode.d8.loss_mask: 0.7909, decode.d8.loss_dice: 1.1826, loss: 29.7015 2022-09-13 02:41:38,003 - mmseg - INFO - Iter [42150/80000] lr: 6.793e-07, eta: 20:21:42, time: 1.875, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7926, decode.loss_mask: 0.7656, decode.loss_dice: 1.1630, decode.d0.loss_cls: 2.5698, decode.d0.loss_mask: 0.7776, decode.d0.loss_dice: 1.3414, decode.d1.loss_cls: 0.8636, decode.d1.loss_mask: 0.7957, decode.d1.loss_dice: 1.2510, decode.d2.loss_cls: 0.8066, decode.d2.loss_mask: 0.7785, decode.d2.loss_dice: 1.2060, decode.d3.loss_cls: 0.8011, decode.d3.loss_mask: 0.7742, decode.d3.loss_dice: 1.1817, decode.d4.loss_cls: 0.7972, decode.d4.loss_mask: 0.7752, decode.d4.loss_dice: 1.1755, decode.d5.loss_cls: 0.7978, decode.d5.loss_mask: 0.7661, decode.d5.loss_dice: 1.1739, decode.d6.loss_cls: 0.7950, decode.d6.loss_mask: 0.7666, decode.d6.loss_dice: 1.1567, decode.d7.loss_cls: 0.7885, decode.d7.loss_mask: 0.7687, decode.d7.loss_dice: 1.1621, decode.d8.loss_cls: 0.7893, decode.d8.loss_mask: 0.7698, decode.d8.loss_dice: 1.1658, loss: 29.5166 2022-09-13 02:43:11,367 - mmseg - INFO - Iter [42200/80000] lr: 6.784e-07, eta: 20:20:02, time: 1.867, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7682, decode.loss_mask: 0.7921, decode.loss_dice: 1.1930, decode.d0.loss_cls: 2.5182, decode.d0.loss_mask: 0.7981, decode.d0.loss_dice: 1.3717, decode.d1.loss_cls: 0.8503, decode.d1.loss_mask: 0.8122, decode.d1.loss_dice: 1.2734, decode.d2.loss_cls: 0.8024, decode.d2.loss_mask: 0.7974, decode.d2.loss_dice: 1.2282, decode.d3.loss_cls: 0.7854, decode.d3.loss_mask: 0.7921, decode.d3.loss_dice: 1.2099, decode.d4.loss_cls: 0.7836, decode.d4.loss_mask: 0.7955, decode.d4.loss_dice: 1.2122, decode.d5.loss_cls: 0.7775, decode.d5.loss_mask: 0.7912, decode.d5.loss_dice: 1.2033, decode.d6.loss_cls: 0.7764, decode.d6.loss_mask: 0.7891, decode.d6.loss_dice: 1.1935, decode.d7.loss_cls: 0.7706, decode.d7.loss_mask: 0.7879, decode.d7.loss_dice: 1.1953, decode.d8.loss_cls: 0.7669, decode.d8.loss_mask: 0.7900, decode.d8.loss_dice: 1.1921, loss: 29.8178 2022-09-13 02:44:44,590 - mmseg - INFO - Iter [42250/80000] lr: 6.775e-07, eta: 20:18:22, time: 1.864, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7516, decode.loss_mask: 0.7498, decode.loss_dice: 1.1718, decode.d0.loss_cls: 2.5694, decode.d0.loss_mask: 0.7575, decode.d0.loss_dice: 1.3433, decode.d1.loss_cls: 0.8356, decode.d1.loss_mask: 0.7821, decode.d1.loss_dice: 1.2533, decode.d2.loss_cls: 0.7767, decode.d2.loss_mask: 0.7666, decode.d2.loss_dice: 1.2048, decode.d3.loss_cls: 0.7768, decode.d3.loss_mask: 0.7535, decode.d3.loss_dice: 1.1771, decode.d4.loss_cls: 0.7634, decode.d4.loss_mask: 0.7503, decode.d4.loss_dice: 1.1774, decode.d5.loss_cls: 0.7570, decode.d5.loss_mask: 0.7503, decode.d5.loss_dice: 1.1717, decode.d6.loss_cls: 0.7539, decode.d6.loss_mask: 0.7501, decode.d6.loss_dice: 1.1683, decode.d7.loss_cls: 0.7468, decode.d7.loss_mask: 0.7506, decode.d7.loss_dice: 1.1770, decode.d8.loss_cls: 0.7456, decode.d8.loss_mask: 0.7485, decode.d8.loss_dice: 1.1718, loss: 29.0525 2022-09-13 02:46:17,422 - mmseg - INFO - Iter [42300/80000] lr: 6.766e-07, eta: 20:16:41, time: 1.857, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8084, decode.loss_mask: 0.7702, decode.loss_dice: 1.2092, decode.d0.loss_cls: 2.6196, decode.d0.loss_mask: 0.7824, decode.d0.loss_dice: 1.4014, decode.d1.loss_cls: 0.8853, decode.d1.loss_mask: 0.8042, decode.d1.loss_dice: 1.3057, decode.d2.loss_cls: 0.8431, decode.d2.loss_mask: 0.7835, decode.d2.loss_dice: 1.2464, decode.d3.loss_cls: 0.8315, decode.d3.loss_mask: 0.7789, decode.d3.loss_dice: 1.2307, decode.d4.loss_cls: 0.8218, decode.d4.loss_mask: 0.7759, decode.d4.loss_dice: 1.2269, decode.d5.loss_cls: 0.8153, decode.d5.loss_mask: 0.7686, decode.d5.loss_dice: 1.2205, decode.d6.loss_cls: 0.8129, decode.d6.loss_mask: 0.7691, decode.d6.loss_dice: 1.2178, decode.d7.loss_cls: 0.8035, decode.d7.loss_mask: 0.7692, decode.d7.loss_dice: 1.2119, decode.d8.loss_cls: 0.8141, decode.d8.loss_mask: 0.7670, decode.d8.loss_dice: 1.2078, loss: 30.3027 2022-09-13 02:47:50,652 - mmseg - INFO - Iter [42350/80000] lr: 6.757e-07, eta: 20:15:01, time: 1.863, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8112, decode.loss_mask: 0.7586, decode.loss_dice: 1.2089, decode.d0.loss_cls: 2.5865, decode.d0.loss_mask: 0.7649, decode.d0.loss_dice: 1.4087, decode.d1.loss_cls: 0.8867, decode.d1.loss_mask: 0.7866, decode.d1.loss_dice: 1.3095, decode.d2.loss_cls: 0.8378, decode.d2.loss_mask: 0.7722, decode.d2.loss_dice: 1.2530, decode.d3.loss_cls: 0.8240, decode.d3.loss_mask: 0.7646, decode.d3.loss_dice: 1.2368, decode.d4.loss_cls: 0.8253, decode.d4.loss_mask: 0.7621, decode.d4.loss_dice: 1.2309, decode.d5.loss_cls: 0.8177, decode.d5.loss_mask: 0.7585, decode.d5.loss_dice: 1.2214, decode.d6.loss_cls: 0.8251, decode.d6.loss_mask: 0.7537, decode.d6.loss_dice: 1.2087, decode.d7.loss_cls: 0.8181, decode.d7.loss_mask: 0.7600, decode.d7.loss_dice: 1.2048, decode.d8.loss_cls: 0.8131, decode.d8.loss_mask: 0.7557, decode.d8.loss_dice: 1.2053, loss: 30.1706 2022-09-13 02:49:23,246 - mmseg - INFO - Iter [42400/80000] lr: 6.748e-07, eta: 20:13:21, time: 1.854, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7865, decode.loss_mask: 0.7715, decode.loss_dice: 1.2327, decode.d0.loss_cls: 2.6740, decode.d0.loss_mask: 0.7747, decode.d0.loss_dice: 1.4311, decode.d1.loss_cls: 0.8842, decode.d1.loss_mask: 0.7978, decode.d1.loss_dice: 1.3329, decode.d2.loss_cls: 0.8263, decode.d2.loss_mask: 0.7818, decode.d2.loss_dice: 1.2806, decode.d3.loss_cls: 0.8100, decode.d3.loss_mask: 0.7758, decode.d3.loss_dice: 1.2615, decode.d4.loss_cls: 0.8009, decode.d4.loss_mask: 0.7773, decode.d4.loss_dice: 1.2540, decode.d5.loss_cls: 0.7927, decode.d5.loss_mask: 0.7738, decode.d5.loss_dice: 1.2457, decode.d6.loss_cls: 0.7915, decode.d6.loss_mask: 0.7690, decode.d6.loss_dice: 1.2368, decode.d7.loss_cls: 0.7880, decode.d7.loss_mask: 0.7665, decode.d7.loss_dice: 1.2363, decode.d8.loss_cls: 0.7884, decode.d8.loss_mask: 0.7691, decode.d8.loss_dice: 1.2384, loss: 30.4498 2022-09-13 02:50:55,591 - mmseg - INFO - Iter [42450/80000] lr: 6.739e-07, eta: 20:11:40, time: 1.847, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7950, decode.loss_mask: 0.7533, decode.loss_dice: 1.1787, decode.d0.loss_cls: 2.5760, decode.d0.loss_mask: 0.7797, decode.d0.loss_dice: 1.3639, decode.d1.loss_cls: 0.8615, decode.d1.loss_mask: 0.7889, decode.d1.loss_dice: 1.2708, decode.d2.loss_cls: 0.8137, decode.d2.loss_mask: 0.7648, decode.d2.loss_dice: 1.2187, decode.d3.loss_cls: 0.7994, decode.d3.loss_mask: 0.7618, decode.d3.loss_dice: 1.1994, decode.d4.loss_cls: 0.7990, decode.d4.loss_mask: 0.7568, decode.d4.loss_dice: 1.1866, decode.d5.loss_cls: 0.7949, decode.d5.loss_mask: 0.7543, decode.d5.loss_dice: 1.1899, decode.d6.loss_cls: 0.7940, decode.d6.loss_mask: 0.7514, decode.d6.loss_dice: 1.1811, decode.d7.loss_cls: 0.7990, decode.d7.loss_mask: 0.7527, decode.d7.loss_dice: 1.1761, decode.d8.loss_cls: 0.7935, decode.d8.loss_mask: 0.7503, decode.d8.loss_dice: 1.1811, loss: 29.5861 2022-09-13 02:52:28,713 - mmseg - INFO - Iter [42500/80000] lr: 6.730e-07, eta: 20:10:00, time: 1.863, data_time: 0.012, memory: 42763, decode.loss_cls: 0.8093, decode.loss_mask: 0.7800, decode.loss_dice: 1.2042, decode.d0.loss_cls: 2.6280, decode.d0.loss_mask: 0.7897, decode.d0.loss_dice: 1.3981, decode.d1.loss_cls: 0.8773, decode.d1.loss_mask: 0.8114, decode.d1.loss_dice: 1.2999, decode.d2.loss_cls: 0.8336, decode.d2.loss_mask: 0.7928, decode.d2.loss_dice: 1.2562, decode.d3.loss_cls: 0.8228, decode.d3.loss_mask: 0.7862, decode.d3.loss_dice: 1.2237, decode.d4.loss_cls: 0.8199, decode.d4.loss_mask: 0.7817, decode.d4.loss_dice: 1.2256, decode.d5.loss_cls: 0.8115, decode.d5.loss_mask: 0.7818, decode.d5.loss_dice: 1.2194, decode.d6.loss_cls: 0.8104, decode.d6.loss_mask: 0.7780, decode.d6.loss_dice: 1.2062, decode.d7.loss_cls: 0.8119, decode.d7.loss_mask: 0.7758, decode.d7.loss_dice: 1.2105, decode.d8.loss_cls: 0.8120, decode.d8.loss_mask: 0.7796, decode.d8.loss_dice: 1.2056, loss: 30.3430 2022-09-13 02:54:01,614 - mmseg - INFO - Iter [42550/80000] lr: 6.721e-07, eta: 20:08:20, time: 1.858, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7749, decode.loss_mask: 0.7771, decode.loss_dice: 1.1716, decode.d0.loss_cls: 2.5798, decode.d0.loss_mask: 0.7866, decode.d0.loss_dice: 1.3607, decode.d1.loss_cls: 0.8677, decode.d1.loss_mask: 0.8000, decode.d1.loss_dice: 1.2714, decode.d2.loss_cls: 0.8052, decode.d2.loss_mask: 0.7914, decode.d2.loss_dice: 1.2105, decode.d3.loss_cls: 0.8000, decode.d3.loss_mask: 0.7785, decode.d3.loss_dice: 1.1845, decode.d4.loss_cls: 0.7949, decode.d4.loss_mask: 0.7794, decode.d4.loss_dice: 1.1852, decode.d5.loss_cls: 0.7844, decode.d5.loss_mask: 0.7770, decode.d5.loss_dice: 1.1791, decode.d6.loss_cls: 0.7800, decode.d6.loss_mask: 0.7705, decode.d6.loss_dice: 1.1697, decode.d7.loss_cls: 0.7783, decode.d7.loss_mask: 0.7741, decode.d7.loss_dice: 1.1656, decode.d8.loss_cls: 0.7768, decode.d8.loss_mask: 0.7738, decode.d8.loss_dice: 1.1711, loss: 29.6194 2022-09-13 02:55:32,980 - mmseg - INFO - Iter [42600/80000] lr: 6.713e-07, eta: 20:06:38, time: 1.827, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8200, decode.loss_mask: 0.7928, decode.loss_dice: 1.1765, decode.d0.loss_cls: 2.5636, decode.d0.loss_mask: 0.8052, decode.d0.loss_dice: 1.3642, decode.d1.loss_cls: 0.8966, decode.d1.loss_mask: 0.8260, decode.d1.loss_dice: 1.2681, decode.d2.loss_cls: 0.8489, decode.d2.loss_mask: 0.8074, decode.d2.loss_dice: 1.2221, decode.d3.loss_cls: 0.8371, decode.d3.loss_mask: 0.8057, decode.d3.loss_dice: 1.1990, decode.d4.loss_cls: 0.8278, decode.d4.loss_mask: 0.8019, decode.d4.loss_dice: 1.1984, decode.d5.loss_cls: 0.8230, decode.d5.loss_mask: 0.8005, decode.d5.loss_dice: 1.1887, decode.d6.loss_cls: 0.8287, decode.d6.loss_mask: 0.7947, decode.d6.loss_dice: 1.1758, decode.d7.loss_cls: 0.8243, decode.d7.loss_mask: 0.7973, decode.d7.loss_dice: 1.1807, decode.d8.loss_cls: 0.8159, decode.d8.loss_mask: 0.7967, decode.d8.loss_dice: 1.1744, loss: 30.2622 2022-09-13 02:57:05,656 - mmseg - INFO - Iter [42650/80000] lr: 6.704e-07, eta: 20:04:58, time: 1.854, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7669, decode.loss_mask: 0.7837, decode.loss_dice: 1.1674, decode.d0.loss_cls: 2.4982, decode.d0.loss_mask: 0.8041, decode.d0.loss_dice: 1.3518, decode.d1.loss_cls: 0.8424, decode.d1.loss_mask: 0.8128, decode.d1.loss_dice: 1.2609, decode.d2.loss_cls: 0.7862, decode.d2.loss_mask: 0.7964, decode.d2.loss_dice: 1.2089, decode.d3.loss_cls: 0.7802, decode.d3.loss_mask: 0.7936, decode.d3.loss_dice: 1.1862, decode.d4.loss_cls: 0.7762, decode.d4.loss_mask: 0.7899, decode.d4.loss_dice: 1.1822, decode.d5.loss_cls: 0.7677, decode.d5.loss_mask: 0.7887, decode.d5.loss_dice: 1.1774, decode.d6.loss_cls: 0.7740, decode.d6.loss_mask: 0.7810, decode.d6.loss_dice: 1.1613, decode.d7.loss_cls: 0.7682, decode.d7.loss_mask: 0.7822, decode.d7.loss_dice: 1.1637, decode.d8.loss_cls: 0.7656, decode.d8.loss_mask: 0.7811, decode.d8.loss_dice: 1.1614, loss: 29.4603 2022-09-13 02:58:38,274 - mmseg - INFO - Iter [42700/80000] lr: 6.695e-07, eta: 20:03:17, time: 1.852, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7995, decode.loss_mask: 0.7806, decode.loss_dice: 1.2027, decode.d0.loss_cls: 2.6122, decode.d0.loss_mask: 0.7950, decode.d0.loss_dice: 1.3952, decode.d1.loss_cls: 0.8827, decode.d1.loss_mask: 0.8150, decode.d1.loss_dice: 1.2986, decode.d2.loss_cls: 0.8315, decode.d2.loss_mask: 0.7912, decode.d2.loss_dice: 1.2424, decode.d3.loss_cls: 0.8210, decode.d3.loss_mask: 0.7863, decode.d3.loss_dice: 1.2220, decode.d4.loss_cls: 0.8163, decode.d4.loss_mask: 0.7849, decode.d4.loss_dice: 1.2153, decode.d5.loss_cls: 0.8092, decode.d5.loss_mask: 0.7844, decode.d5.loss_dice: 1.2100, decode.d6.loss_cls: 0.8103, decode.d6.loss_mask: 0.7817, decode.d6.loss_dice: 1.2045, decode.d7.loss_cls: 0.8058, decode.d7.loss_mask: 0.7813, decode.d7.loss_dice: 1.2086, decode.d8.loss_cls: 0.8018, decode.d8.loss_mask: 0.7814, decode.d8.loss_dice: 1.2033, loss: 30.2747 2022-09-13 03:00:11,741 - mmseg - INFO - Iter [42750/80000] lr: 6.686e-07, eta: 20:01:38, time: 1.867, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7807, decode.loss_mask: 0.7756, decode.loss_dice: 1.2134, decode.d0.loss_cls: 2.5859, decode.d0.loss_mask: 0.7730, decode.d0.loss_dice: 1.3872, decode.d1.loss_cls: 0.8634, decode.d1.loss_mask: 0.8040, decode.d1.loss_dice: 1.3030, decode.d2.loss_cls: 0.8103, decode.d2.loss_mask: 0.7951, decode.d2.loss_dice: 1.2574, decode.d3.loss_cls: 0.8078, decode.d3.loss_mask: 0.7799, decode.d3.loss_dice: 1.2268, decode.d4.loss_cls: 0.8010, decode.d4.loss_mask: 0.7848, decode.d4.loss_dice: 1.2217, decode.d5.loss_cls: 0.7899, decode.d5.loss_mask: 0.7836, decode.d5.loss_dice: 1.2211, decode.d6.loss_cls: 0.7908, decode.d6.loss_mask: 0.7737, decode.d6.loss_dice: 1.2132, decode.d7.loss_cls: 0.7943, decode.d7.loss_mask: 0.7738, decode.d7.loss_dice: 1.2119, decode.d8.loss_cls: 0.7880, decode.d8.loss_mask: 0.7743, decode.d8.loss_dice: 1.2080, loss: 30.0934 2022-09-13 03:01:44,157 - mmseg - INFO - Iter [42800/80000] lr: 6.677e-07, eta: 19:59:57, time: 1.851, data_time: 0.019, memory: 42763, decode.loss_cls: 0.7893, decode.loss_mask: 0.7445, decode.loss_dice: 1.2020, decode.d0.loss_cls: 2.5911, decode.d0.loss_mask: 0.7492, decode.d0.loss_dice: 1.3915, decode.d1.loss_cls: 0.8574, decode.d1.loss_mask: 0.7749, decode.d1.loss_dice: 1.2983, decode.d2.loss_cls: 0.8192, decode.d2.loss_mask: 0.7544, decode.d2.loss_dice: 1.2531, decode.d3.loss_cls: 0.8068, decode.d3.loss_mask: 0.7511, decode.d3.loss_dice: 1.2269, decode.d4.loss_cls: 0.8030, decode.d4.loss_mask: 0.7481, decode.d4.loss_dice: 1.2256, decode.d5.loss_cls: 0.7987, decode.d5.loss_mask: 0.7500, decode.d5.loss_dice: 1.2142, decode.d6.loss_cls: 0.7870, decode.d6.loss_mask: 0.7443, decode.d6.loss_dice: 1.2056, decode.d7.loss_cls: 0.7881, decode.d7.loss_mask: 0.7417, decode.d7.loss_dice: 1.2084, decode.d8.loss_cls: 0.7923, decode.d8.loss_mask: 0.7431, decode.d8.loss_dice: 1.2088, loss: 29.7687 2022-09-13 03:03:16,708 - mmseg - INFO - Iter [42850/80000] lr: 6.668e-07, eta: 19:58:17, time: 1.851, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8195, decode.loss_mask: 0.7880, decode.loss_dice: 1.2019, decode.d0.loss_cls: 2.6283, decode.d0.loss_mask: 0.8184, decode.d0.loss_dice: 1.3991, decode.d1.loss_cls: 0.8852, decode.d1.loss_mask: 0.8230, decode.d1.loss_dice: 1.3167, decode.d2.loss_cls: 0.8502, decode.d2.loss_mask: 0.8042, decode.d2.loss_dice: 1.2600, decode.d3.loss_cls: 0.8479, decode.d3.loss_mask: 0.7964, decode.d3.loss_dice: 1.2260, decode.d4.loss_cls: 0.8396, decode.d4.loss_mask: 0.7949, decode.d4.loss_dice: 1.2200, decode.d5.loss_cls: 0.8249, decode.d5.loss_mask: 0.7877, decode.d5.loss_dice: 1.2070, decode.d6.loss_cls: 0.8278, decode.d6.loss_mask: 0.7871, decode.d6.loss_dice: 1.1999, decode.d7.loss_cls: 0.8189, decode.d7.loss_mask: 0.7874, decode.d7.loss_dice: 1.2010, decode.d8.loss_cls: 0.8206, decode.d8.loss_mask: 0.7868, decode.d8.loss_dice: 1.2056, loss: 30.5742 2022-09-13 03:04:50,286 - mmseg - INFO - Iter [42900/80000] lr: 6.659e-07, eta: 19:56:37, time: 1.871, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7793, decode.loss_mask: 0.7537, decode.loss_dice: 1.2057, decode.d0.loss_cls: 2.5684, decode.d0.loss_mask: 0.7608, decode.d0.loss_dice: 1.3986, decode.d1.loss_cls: 0.8731, decode.d1.loss_mask: 0.7735, decode.d1.loss_dice: 1.3003, decode.d2.loss_cls: 0.8147, decode.d2.loss_mask: 0.7684, decode.d2.loss_dice: 1.2442, decode.d3.loss_cls: 0.8088, decode.d3.loss_mask: 0.7597, decode.d3.loss_dice: 1.2285, decode.d4.loss_cls: 0.8024, decode.d4.loss_mask: 0.7605, decode.d4.loss_dice: 1.2209, decode.d5.loss_cls: 0.7902, decode.d5.loss_mask: 0.7554, decode.d5.loss_dice: 1.2103, decode.d6.loss_cls: 0.7877, decode.d6.loss_mask: 0.7558, decode.d6.loss_dice: 1.2061, decode.d7.loss_cls: 0.7900, decode.d7.loss_mask: 0.7544, decode.d7.loss_dice: 1.2126, decode.d8.loss_cls: 0.7824, decode.d8.loss_mask: 0.7524, decode.d8.loss_dice: 1.2120, loss: 29.8306 2022-09-13 03:06:23,246 - mmseg - INFO - Iter [42950/80000] lr: 6.650e-07, eta: 19:54:57, time: 1.859, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8024, decode.loss_mask: 0.7832, decode.loss_dice: 1.2063, decode.d0.loss_cls: 2.5994, decode.d0.loss_mask: 0.7940, decode.d0.loss_dice: 1.3871, decode.d1.loss_cls: 0.8655, decode.d1.loss_mask: 0.8120, decode.d1.loss_dice: 1.3010, decode.d2.loss_cls: 0.8254, decode.d2.loss_mask: 0.8041, decode.d2.loss_dice: 1.2435, decode.d3.loss_cls: 0.8129, decode.d3.loss_mask: 0.7955, decode.d3.loss_dice: 1.2284, decode.d4.loss_cls: 0.8171, decode.d4.loss_mask: 0.7883, decode.d4.loss_dice: 1.2170, decode.d5.loss_cls: 0.8085, decode.d5.loss_mask: 0.7863, decode.d5.loss_dice: 1.2118, decode.d6.loss_cls: 0.8067, decode.d6.loss_mask: 0.7813, decode.d6.loss_dice: 1.2036, decode.d7.loss_cls: 0.8099, decode.d7.loss_mask: 0.7830, decode.d7.loss_dice: 1.2037, decode.d8.loss_cls: 0.8032, decode.d8.loss_mask: 0.7792, decode.d8.loss_dice: 1.2019, loss: 30.2620 2022-09-13 03:07:55,665 - mmseg - INFO - Saving checkpoint at 43000 iterations 2022-09-13 03:08:26,405 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 03:08:26,412 - mmseg - INFO - Iter [43000/80000] lr: 6.641e-07, eta: 19:53:43, time: 2.461, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8175, decode.loss_mask: 0.7849, decode.loss_dice: 1.2013, decode.d0.loss_cls: 2.5903, decode.d0.loss_mask: 0.7936, decode.d0.loss_dice: 1.3992, decode.d1.loss_cls: 0.8882, decode.d1.loss_mask: 0.8093, decode.d1.loss_dice: 1.2933, decode.d2.loss_cls: 0.8487, decode.d2.loss_mask: 0.7926, decode.d2.loss_dice: 1.2490, decode.d3.loss_cls: 0.8334, decode.d3.loss_mask: 0.7916, decode.d3.loss_dice: 1.2224, decode.d4.loss_cls: 0.8307, decode.d4.loss_mask: 0.7881, decode.d4.loss_dice: 1.2237, decode.d5.loss_cls: 0.8201, decode.d5.loss_mask: 0.7884, decode.d5.loss_dice: 1.2154, decode.d6.loss_cls: 0.8163, decode.d6.loss_mask: 0.7829, decode.d6.loss_dice: 1.2019, decode.d7.loss_cls: 0.8162, decode.d7.loss_mask: 0.7806, decode.d7.loss_dice: 1.2043, decode.d8.loss_cls: 0.8160, decode.d8.loss_mask: 0.7823, decode.d8.loss_dice: 1.1995, loss: 30.3816 2022-09-13 03:09:59,266 - mmseg - INFO - Iter [43050/80000] lr: 6.632e-07, eta: 19:52:03, time: 1.860, data_time: 0.017, memory: 42763, decode.loss_cls: 0.8007, decode.loss_mask: 0.7797, decode.loss_dice: 1.1884, decode.d0.loss_cls: 2.5241, decode.d0.loss_mask: 0.8011, decode.d0.loss_dice: 1.3786, decode.d1.loss_cls: 0.8643, decode.d1.loss_mask: 0.8183, decode.d1.loss_dice: 1.2748, decode.d2.loss_cls: 0.8240, decode.d2.loss_mask: 0.7978, decode.d2.loss_dice: 1.2297, decode.d3.loss_cls: 0.8104, decode.d3.loss_mask: 0.7934, decode.d3.loss_dice: 1.2052, decode.d4.loss_cls: 0.8127, decode.d4.loss_mask: 0.7903, decode.d4.loss_dice: 1.2009, decode.d5.loss_cls: 0.8011, decode.d5.loss_mask: 0.7877, decode.d5.loss_dice: 1.1995, decode.d6.loss_cls: 0.7978, decode.d6.loss_mask: 0.7863, decode.d6.loss_dice: 1.1897, decode.d7.loss_cls: 0.8029, decode.d7.loss_mask: 0.7807, decode.d7.loss_dice: 1.1876, decode.d8.loss_cls: 0.7965, decode.d8.loss_mask: 0.7799, decode.d8.loss_dice: 1.1903, loss: 29.9945 2022-09-13 03:11:31,438 - mmseg - INFO - Iter [43100/80000] lr: 6.623e-07, eta: 19:50:22, time: 1.844, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8002, decode.loss_mask: 0.7464, decode.loss_dice: 1.1654, decode.d0.loss_cls: 2.5844, decode.d0.loss_mask: 0.7637, decode.d0.loss_dice: 1.3557, decode.d1.loss_cls: 0.8750, decode.d1.loss_mask: 0.7828, decode.d1.loss_dice: 1.2515, decode.d2.loss_cls: 0.8246, decode.d2.loss_mask: 0.7638, decode.d2.loss_dice: 1.2012, decode.d3.loss_cls: 0.8075, decode.d3.loss_mask: 0.7587, decode.d3.loss_dice: 1.1813, decode.d4.loss_cls: 0.8105, decode.d4.loss_mask: 0.7515, decode.d4.loss_dice: 1.1802, decode.d5.loss_cls: 0.8034, decode.d5.loss_mask: 0.7501, decode.d5.loss_dice: 1.1760, decode.d6.loss_cls: 0.8059, decode.d6.loss_mask: 0.7467, decode.d6.loss_dice: 1.1596, decode.d7.loss_cls: 0.8080, decode.d7.loss_mask: 0.7449, decode.d7.loss_dice: 1.1603, decode.d8.loss_cls: 0.8059, decode.d8.loss_mask: 0.7473, decode.d8.loss_dice: 1.1615, loss: 29.4742 2022-09-13 03:13:03,645 - mmseg - INFO - Iter [43150/80000] lr: 6.614e-07, eta: 19:48:42, time: 1.844, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7578, decode.loss_mask: 0.7782, decode.loss_dice: 1.1864, decode.d0.loss_cls: 2.5160, decode.d0.loss_mask: 0.7876, decode.d0.loss_dice: 1.3713, decode.d1.loss_cls: 0.8393, decode.d1.loss_mask: 0.8027, decode.d1.loss_dice: 1.2840, decode.d2.loss_cls: 0.7783, decode.d2.loss_mask: 0.7845, decode.d2.loss_dice: 1.2342, decode.d3.loss_cls: 0.7633, decode.d3.loss_mask: 0.7882, decode.d3.loss_dice: 1.2070, decode.d4.loss_cls: 0.7564, decode.d4.loss_mask: 0.7860, decode.d4.loss_dice: 1.2062, decode.d5.loss_cls: 0.7608, decode.d5.loss_mask: 0.7786, decode.d5.loss_dice: 1.1991, decode.d6.loss_cls: 0.7554, decode.d6.loss_mask: 0.7796, decode.d6.loss_dice: 1.1929, decode.d7.loss_cls: 0.7587, decode.d7.loss_mask: 0.7758, decode.d7.loss_dice: 1.1908, decode.d8.loss_cls: 0.7512, decode.d8.loss_mask: 0.7811, decode.d8.loss_dice: 1.1872, loss: 29.5384 2022-09-13 03:14:35,219 - mmseg - INFO - Iter [43200/80000] lr: 6.605e-07, eta: 19:47:00, time: 1.832, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7890, decode.loss_mask: 0.7658, decode.loss_dice: 1.1865, decode.d0.loss_cls: 2.5785, decode.d0.loss_mask: 0.7804, decode.d0.loss_dice: 1.3714, decode.d1.loss_cls: 0.8476, decode.d1.loss_mask: 0.8029, decode.d1.loss_dice: 1.2902, decode.d2.loss_cls: 0.8050, decode.d2.loss_mask: 0.7876, decode.d2.loss_dice: 1.2328, decode.d3.loss_cls: 0.7995, decode.d3.loss_mask: 0.7793, decode.d3.loss_dice: 1.2152, decode.d4.loss_cls: 0.7895, decode.d4.loss_mask: 0.7749, decode.d4.loss_dice: 1.2155, decode.d5.loss_cls: 0.7915, decode.d5.loss_mask: 0.7775, decode.d5.loss_dice: 1.1972, decode.d6.loss_cls: 0.7859, decode.d6.loss_mask: 0.7683, decode.d6.loss_dice: 1.1890, decode.d7.loss_cls: 0.7904, decode.d7.loss_mask: 0.7674, decode.d7.loss_dice: 1.1876, decode.d8.loss_cls: 0.7896, decode.d8.loss_mask: 0.7673, decode.d8.loss_dice: 1.1854, loss: 29.8085 2022-09-13 03:16:07,986 - mmseg - INFO - Iter [43250/80000] lr: 6.596e-07, eta: 19:45:20, time: 1.855, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7682, decode.loss_mask: 0.7750, decode.loss_dice: 1.1840, decode.d0.loss_cls: 2.5102, decode.d0.loss_mask: 0.7820, decode.d0.loss_dice: 1.3756, decode.d1.loss_cls: 0.8488, decode.d1.loss_mask: 0.7996, decode.d1.loss_dice: 1.2726, decode.d2.loss_cls: 0.7966, decode.d2.loss_mask: 0.7878, decode.d2.loss_dice: 1.2332, decode.d3.loss_cls: 0.7871, decode.d3.loss_mask: 0.7737, decode.d3.loss_dice: 1.1966, decode.d4.loss_cls: 0.7818, decode.d4.loss_mask: 0.7758, decode.d4.loss_dice: 1.1911, decode.d5.loss_cls: 0.7726, decode.d5.loss_mask: 0.7720, decode.d5.loss_dice: 1.1880, decode.d6.loss_cls: 0.7698, decode.d6.loss_mask: 0.7732, decode.d6.loss_dice: 1.1797, decode.d7.loss_cls: 0.7632, decode.d7.loss_mask: 0.7742, decode.d7.loss_dice: 1.1756, decode.d8.loss_cls: 0.7609, decode.d8.loss_mask: 0.7744, decode.d8.loss_dice: 1.1777, loss: 29.5211 2022-09-13 03:17:39,855 - mmseg - INFO - Iter [43300/80000] lr: 6.587e-07, eta: 19:43:39, time: 1.837, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8175, decode.loss_mask: 0.7657, decode.loss_dice: 1.1916, decode.d0.loss_cls: 2.6990, decode.d0.loss_mask: 0.7793, decode.d0.loss_dice: 1.3982, decode.d1.loss_cls: 0.9167, decode.d1.loss_mask: 0.7916, decode.d1.loss_dice: 1.2914, decode.d2.loss_cls: 0.8447, decode.d2.loss_mask: 0.7845, decode.d2.loss_dice: 1.2429, decode.d3.loss_cls: 0.8336, decode.d3.loss_mask: 0.7756, decode.d3.loss_dice: 1.2251, decode.d4.loss_cls: 0.8316, decode.d4.loss_mask: 0.7716, decode.d4.loss_dice: 1.2141, decode.d5.loss_cls: 0.8260, decode.d5.loss_mask: 0.7678, decode.d5.loss_dice: 1.2083, decode.d6.loss_cls: 0.8208, decode.d6.loss_mask: 0.7644, decode.d6.loss_dice: 1.2090, decode.d7.loss_cls: 0.8149, decode.d7.loss_mask: 0.7621, decode.d7.loss_dice: 1.1992, decode.d8.loss_cls: 0.8168, decode.d8.loss_mask: 0.7612, decode.d8.loss_dice: 1.1981, loss: 30.3232 2022-09-13 03:19:13,008 - mmseg - INFO - Iter [43350/80000] lr: 6.578e-07, eta: 19:41:59, time: 1.863, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8168, decode.loss_mask: 0.7706, decode.loss_dice: 1.2179, decode.d0.loss_cls: 2.6416, decode.d0.loss_mask: 0.7888, decode.d0.loss_dice: 1.4187, decode.d1.loss_cls: 0.9082, decode.d1.loss_mask: 0.8063, decode.d1.loss_dice: 1.3091, decode.d2.loss_cls: 0.8480, decode.d2.loss_mask: 0.7887, decode.d2.loss_dice: 1.2622, decode.d3.loss_cls: 0.8370, decode.d3.loss_mask: 0.7818, decode.d3.loss_dice: 1.2329, decode.d4.loss_cls: 0.8387, decode.d4.loss_mask: 0.7789, decode.d4.loss_dice: 1.2282, decode.d5.loss_cls: 0.8329, decode.d5.loss_mask: 0.7725, decode.d5.loss_dice: 1.2212, decode.d6.loss_cls: 0.8281, decode.d6.loss_mask: 0.7714, decode.d6.loss_dice: 1.2126, decode.d7.loss_cls: 0.8286, decode.d7.loss_mask: 0.7680, decode.d7.loss_dice: 1.2082, decode.d8.loss_cls: 0.8192, decode.d8.loss_mask: 0.7735, decode.d8.loss_dice: 1.2153, loss: 30.5259 2022-09-13 03:20:46,293 - mmseg - INFO - Iter [43400/80000] lr: 6.569e-07, eta: 19:40:20, time: 1.866, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7628, decode.loss_mask: 0.7552, decode.loss_dice: 1.1689, decode.d0.loss_cls: 2.5430, decode.d0.loss_mask: 0.7714, decode.d0.loss_dice: 1.3619, decode.d1.loss_cls: 0.8464, decode.d1.loss_mask: 0.7914, decode.d1.loss_dice: 1.2638, decode.d2.loss_cls: 0.7837, decode.d2.loss_mask: 0.7798, decode.d2.loss_dice: 1.2144, decode.d3.loss_cls: 0.7839, decode.d3.loss_mask: 0.7647, decode.d3.loss_dice: 1.1852, decode.d4.loss_cls: 0.7718, decode.d4.loss_mask: 0.7682, decode.d4.loss_dice: 1.1802, decode.d5.loss_cls: 0.7693, decode.d5.loss_mask: 0.7643, decode.d5.loss_dice: 1.1732, decode.d6.loss_cls: 0.7686, decode.d6.loss_mask: 0.7535, decode.d6.loss_dice: 1.1706, decode.d7.loss_cls: 0.7687, decode.d7.loss_mask: 0.7543, decode.d7.loss_dice: 1.1657, decode.d8.loss_cls: 0.7621, decode.d8.loss_mask: 0.7547, decode.d8.loss_dice: 1.1675, loss: 29.2694 2022-09-13 03:22:18,343 - mmseg - INFO - Iter [43450/80000] lr: 6.560e-07, eta: 19:38:39, time: 1.841, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7829, decode.loss_mask: 0.7786, decode.loss_dice: 1.1747, decode.d0.loss_cls: 2.5744, decode.d0.loss_mask: 0.7822, decode.d0.loss_dice: 1.3625, decode.d1.loss_cls: 0.8470, decode.d1.loss_mask: 0.8143, decode.d1.loss_dice: 1.2611, decode.d2.loss_cls: 0.8020, decode.d2.loss_mask: 0.7974, decode.d2.loss_dice: 1.2170, decode.d3.loss_cls: 0.7865, decode.d3.loss_mask: 0.7912, decode.d3.loss_dice: 1.1890, decode.d4.loss_cls: 0.7832, decode.d4.loss_mask: 0.7887, decode.d4.loss_dice: 1.1934, decode.d5.loss_cls: 0.7760, decode.d5.loss_mask: 0.7851, decode.d5.loss_dice: 1.1852, decode.d6.loss_cls: 0.7811, decode.d6.loss_mask: 0.7812, decode.d6.loss_dice: 1.1796, decode.d7.loss_cls: 0.7826, decode.d7.loss_mask: 0.7762, decode.d7.loss_dice: 1.1813, decode.d8.loss_cls: 0.7833, decode.d8.loss_mask: 0.7763, decode.d8.loss_dice: 1.1788, loss: 29.6930 2022-09-13 03:23:51,598 - mmseg - INFO - Iter [43500/80000] lr: 6.551e-07, eta: 19:36:59, time: 1.865, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8172, decode.loss_mask: 0.7601, decode.loss_dice: 1.2079, decode.d0.loss_cls: 2.6626, decode.d0.loss_mask: 0.7672, decode.d0.loss_dice: 1.3999, decode.d1.loss_cls: 0.8792, decode.d1.loss_mask: 0.7975, decode.d1.loss_dice: 1.3049, decode.d2.loss_cls: 0.8297, decode.d2.loss_mask: 0.7791, decode.d2.loss_dice: 1.2514, decode.d3.loss_cls: 0.8197, decode.d3.loss_mask: 0.7715, decode.d3.loss_dice: 1.2328, decode.d4.loss_cls: 0.8157, decode.d4.loss_mask: 0.7706, decode.d4.loss_dice: 1.2245, decode.d5.loss_cls: 0.8122, decode.d5.loss_mask: 0.7676, decode.d5.loss_dice: 1.2197, decode.d6.loss_cls: 0.8120, decode.d6.loss_mask: 0.7615, decode.d6.loss_dice: 1.1994, decode.d7.loss_cls: 0.8118, decode.d7.loss_mask: 0.7573, decode.d7.loss_dice: 1.1992, decode.d8.loss_cls: 0.8077, decode.d8.loss_mask: 0.7630, decode.d8.loss_dice: 1.2075, loss: 30.2105 2022-09-13 03:25:23,053 - mmseg - INFO - Iter [43550/80000] lr: 6.542e-07, eta: 19:35:18, time: 1.829, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8199, decode.loss_mask: 0.7613, decode.loss_dice: 1.1933, decode.d0.loss_cls: 2.6519, decode.d0.loss_mask: 0.7700, decode.d0.loss_dice: 1.3854, decode.d1.loss_cls: 0.8995, decode.d1.loss_mask: 0.7951, decode.d1.loss_dice: 1.2939, decode.d2.loss_cls: 0.8439, decode.d2.loss_mask: 0.7828, decode.d2.loss_dice: 1.2423, decode.d3.loss_cls: 0.8359, decode.d3.loss_mask: 0.7704, decode.d3.loss_dice: 1.2171, decode.d4.loss_cls: 0.8297, decode.d4.loss_mask: 0.7708, decode.d4.loss_dice: 1.2152, decode.d5.loss_cls: 0.8191, decode.d5.loss_mask: 0.7696, decode.d5.loss_dice: 1.2185, decode.d6.loss_cls: 0.8134, decode.d6.loss_mask: 0.7621, decode.d6.loss_dice: 1.2026, decode.d7.loss_cls: 0.8153, decode.d7.loss_mask: 0.7654, decode.d7.loss_dice: 1.2008, decode.d8.loss_cls: 0.8213, decode.d8.loss_mask: 0.7618, decode.d8.loss_dice: 1.1943, loss: 30.2226 2022-09-13 03:26:55,800 - mmseg - INFO - Iter [43600/80000] lr: 6.533e-07, eta: 19:33:38, time: 1.855, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8017, decode.loss_mask: 0.7564, decode.loss_dice: 1.1941, decode.d0.loss_cls: 2.6185, decode.d0.loss_mask: 0.7720, decode.d0.loss_dice: 1.3919, decode.d1.loss_cls: 0.8923, decode.d1.loss_mask: 0.7822, decode.d1.loss_dice: 1.2987, decode.d2.loss_cls: 0.8279, decode.d2.loss_mask: 0.7745, decode.d2.loss_dice: 1.2415, decode.d3.loss_cls: 0.8195, decode.d3.loss_mask: 0.7675, decode.d3.loss_dice: 1.2257, decode.d4.loss_cls: 0.8135, decode.d4.loss_mask: 0.7626, decode.d4.loss_dice: 1.2207, decode.d5.loss_cls: 0.8018, decode.d5.loss_mask: 0.7693, decode.d5.loss_dice: 1.2171, decode.d6.loss_cls: 0.8000, decode.d6.loss_mask: 0.7586, decode.d6.loss_dice: 1.1996, decode.d7.loss_cls: 0.8032, decode.d7.loss_mask: 0.7584, decode.d7.loss_dice: 1.2021, decode.d8.loss_cls: 0.7977, decode.d8.loss_mask: 0.7599, decode.d8.loss_dice: 1.1990, loss: 30.0281 2022-09-13 03:28:27,849 - mmseg - INFO - Iter [43650/80000] lr: 6.524e-07, eta: 19:31:58, time: 1.841, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7636, decode.loss_mask: 0.7689, decode.loss_dice: 1.1703, decode.d0.loss_cls: 2.5150, decode.d0.loss_mask: 0.7857, decode.d0.loss_dice: 1.3538, decode.d1.loss_cls: 0.8370, decode.d1.loss_mask: 0.7985, decode.d1.loss_dice: 1.2679, decode.d2.loss_cls: 0.7913, decode.d2.loss_mask: 0.7846, decode.d2.loss_dice: 1.2120, decode.d3.loss_cls: 0.7791, decode.d3.loss_mask: 0.7768, decode.d3.loss_dice: 1.1924, decode.d4.loss_cls: 0.7768, decode.d4.loss_mask: 0.7757, decode.d4.loss_dice: 1.1850, decode.d5.loss_cls: 0.7749, decode.d5.loss_mask: 0.7709, decode.d5.loss_dice: 1.1779, decode.d6.loss_cls: 0.7680, decode.d6.loss_mask: 0.7679, decode.d6.loss_dice: 1.1714, decode.d7.loss_cls: 0.7637, decode.d7.loss_mask: 0.7638, decode.d7.loss_dice: 1.1723, decode.d8.loss_cls: 0.7608, decode.d8.loss_mask: 0.7666, decode.d8.loss_dice: 1.1719, loss: 29.3646 2022-09-13 03:30:00,496 - mmseg - INFO - Iter [43700/80000] lr: 6.515e-07, eta: 19:30:17, time: 1.853, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8304, decode.loss_mask: 0.7705, decode.loss_dice: 1.2201, decode.d0.loss_cls: 2.5969, decode.d0.loss_mask: 0.7860, decode.d0.loss_dice: 1.4114, decode.d1.loss_cls: 0.9004, decode.d1.loss_mask: 0.8039, decode.d1.loss_dice: 1.3160, decode.d2.loss_cls: 0.8564, decode.d2.loss_mask: 0.7883, decode.d2.loss_dice: 1.2552, decode.d3.loss_cls: 0.8408, decode.d3.loss_mask: 0.7828, decode.d3.loss_dice: 1.2375, decode.d4.loss_cls: 0.8412, decode.d4.loss_mask: 0.7748, decode.d4.loss_dice: 1.2281, decode.d5.loss_cls: 0.8370, decode.d5.loss_mask: 0.7758, decode.d5.loss_dice: 1.2185, decode.d6.loss_cls: 0.8391, decode.d6.loss_mask: 0.7703, decode.d6.loss_dice: 1.2138, decode.d7.loss_cls: 0.8342, decode.d7.loss_mask: 0.7660, decode.d7.loss_dice: 1.2225, decode.d8.loss_cls: 0.8293, decode.d8.loss_mask: 0.7714, decode.d8.loss_dice: 1.2209, loss: 30.5391 2022-09-13 03:31:32,494 - mmseg - INFO - Iter [43750/80000] lr: 6.506e-07, eta: 19:28:37, time: 1.840, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7599, decode.loss_mask: 0.7504, decode.loss_dice: 1.1744, decode.d0.loss_cls: 2.5374, decode.d0.loss_mask: 0.7656, decode.d0.loss_dice: 1.3486, decode.d1.loss_cls: 0.8447, decode.d1.loss_mask: 0.7847, decode.d1.loss_dice: 1.2655, decode.d2.loss_cls: 0.7883, decode.d2.loss_mask: 0.7695, decode.d2.loss_dice: 1.2150, decode.d3.loss_cls: 0.7776, decode.d3.loss_mask: 0.7643, decode.d3.loss_dice: 1.1955, decode.d4.loss_cls: 0.7696, decode.d4.loss_mask: 0.7539, decode.d4.loss_dice: 1.1835, decode.d5.loss_cls: 0.7636, decode.d5.loss_mask: 0.7511, decode.d5.loss_dice: 1.1716, decode.d6.loss_cls: 0.7605, decode.d6.loss_mask: 0.7533, decode.d6.loss_dice: 1.1669, decode.d7.loss_cls: 0.7603, decode.d7.loss_mask: 0.7516, decode.d7.loss_dice: 1.1631, decode.d8.loss_cls: 0.7536, decode.d8.loss_mask: 0.7533, decode.d8.loss_dice: 1.1665, loss: 29.1638 2022-09-13 03:33:06,616 - mmseg - INFO - Iter [43800/80000] lr: 6.497e-07, eta: 19:26:58, time: 1.883, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7956, decode.loss_mask: 0.7542, decode.loss_dice: 1.1936, decode.d0.loss_cls: 2.5423, decode.d0.loss_mask: 0.7654, decode.d0.loss_dice: 1.3782, decode.d1.loss_cls: 0.8771, decode.d1.loss_mask: 0.7838, decode.d1.loss_dice: 1.2868, decode.d2.loss_cls: 0.8206, decode.d2.loss_mask: 0.7696, decode.d2.loss_dice: 1.2336, decode.d3.loss_cls: 0.8116, decode.d3.loss_mask: 0.7616, decode.d3.loss_dice: 1.2211, decode.d4.loss_cls: 0.8096, decode.d4.loss_mask: 0.7610, decode.d4.loss_dice: 1.2113, decode.d5.loss_cls: 0.8023, decode.d5.loss_mask: 0.7615, decode.d5.loss_dice: 1.2030, decode.d6.loss_cls: 0.7950, decode.d6.loss_mask: 0.7586, decode.d6.loss_dice: 1.1926, decode.d7.loss_cls: 0.7983, decode.d7.loss_mask: 0.7547, decode.d7.loss_dice: 1.1884, decode.d8.loss_cls: 0.7887, decode.d8.loss_mask: 0.7578, decode.d8.loss_dice: 1.1952, loss: 29.7731 2022-09-13 03:34:38,162 - mmseg - INFO - Iter [43850/80000] lr: 6.488e-07, eta: 19:25:17, time: 1.831, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7825, decode.loss_mask: 0.7738, decode.loss_dice: 1.1907, decode.d0.loss_cls: 2.5805, decode.d0.loss_mask: 0.7917, decode.d0.loss_dice: 1.3892, decode.d1.loss_cls: 0.8711, decode.d1.loss_mask: 0.8054, decode.d1.loss_dice: 1.2905, decode.d2.loss_cls: 0.8176, decode.d2.loss_mask: 0.7898, decode.d2.loss_dice: 1.2365, decode.d3.loss_cls: 0.7988, decode.d3.loss_mask: 0.7806, decode.d3.loss_dice: 1.2092, decode.d4.loss_cls: 0.7986, decode.d4.loss_mask: 0.7752, decode.d4.loss_dice: 1.2081, decode.d5.loss_cls: 0.7993, decode.d5.loss_mask: 0.7714, decode.d5.loss_dice: 1.1955, decode.d6.loss_cls: 0.7859, decode.d6.loss_mask: 0.7712, decode.d6.loss_dice: 1.1850, decode.d7.loss_cls: 0.7892, decode.d7.loss_mask: 0.7687, decode.d7.loss_dice: 1.1916, decode.d8.loss_cls: 0.7811, decode.d8.loss_mask: 0.7707, decode.d8.loss_dice: 1.1845, loss: 29.8837 2022-09-13 03:36:10,441 - mmseg - INFO - Iter [43900/80000] lr: 6.479e-07, eta: 19:23:37, time: 1.846, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7640, decode.loss_mask: 0.7838, decode.loss_dice: 1.1981, decode.d0.loss_cls: 2.5456, decode.d0.loss_mask: 0.7908, decode.d0.loss_dice: 1.3838, decode.d1.loss_cls: 0.8317, decode.d1.loss_mask: 0.8073, decode.d1.loss_dice: 1.2903, decode.d2.loss_cls: 0.7903, decode.d2.loss_mask: 0.7932, decode.d2.loss_dice: 1.2343, decode.d3.loss_cls: 0.7865, decode.d3.loss_mask: 0.7872, decode.d3.loss_dice: 1.2163, decode.d4.loss_cls: 0.7763, decode.d4.loss_mask: 0.7880, decode.d4.loss_dice: 1.2149, decode.d5.loss_cls: 0.7704, decode.d5.loss_mask: 0.7816, decode.d5.loss_dice: 1.2036, decode.d6.loss_cls: 0.7650, decode.d6.loss_mask: 0.7786, decode.d6.loss_dice: 1.2005, decode.d7.loss_cls: 0.7627, decode.d7.loss_mask: 0.7772, decode.d7.loss_dice: 1.2016, decode.d8.loss_cls: 0.7586, decode.d8.loss_mask: 0.7861, decode.d8.loss_dice: 1.2085, loss: 29.7768 2022-09-13 03:37:41,984 - mmseg - INFO - Iter [43950/80000] lr: 6.470e-07, eta: 19:21:56, time: 1.831, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7999, decode.loss_mask: 0.7666, decode.loss_dice: 1.1943, decode.d0.loss_cls: 2.6027, decode.d0.loss_mask: 0.7696, decode.d0.loss_dice: 1.3689, decode.d1.loss_cls: 0.8742, decode.d1.loss_mask: 0.7930, decode.d1.loss_dice: 1.2901, decode.d2.loss_cls: 0.8337, decode.d2.loss_mask: 0.7749, decode.d2.loss_dice: 1.2327, decode.d3.loss_cls: 0.8297, decode.d3.loss_mask: 0.7678, decode.d3.loss_dice: 1.2067, decode.d4.loss_cls: 0.8160, decode.d4.loss_mask: 0.7652, decode.d4.loss_dice: 1.2072, decode.d5.loss_cls: 0.8113, decode.d5.loss_mask: 0.7660, decode.d5.loss_dice: 1.1932, decode.d6.loss_cls: 0.8022, decode.d6.loss_mask: 0.7692, decode.d6.loss_dice: 1.1930, decode.d7.loss_cls: 0.8060, decode.d7.loss_mask: 0.7665, decode.d7.loss_dice: 1.1880, decode.d8.loss_cls: 0.7932, decode.d8.loss_mask: 0.7659, decode.d8.loss_dice: 1.1925, loss: 29.9405 2022-09-13 03:39:14,168 - mmseg - INFO - Saving checkpoint at 44000 iterations 2022-09-13 03:39:45,973 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 03:39:45,976 - mmseg - INFO - Iter [44000/80000] lr: 6.461e-07, eta: 19:20:41, time: 2.478, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7604, decode.loss_mask: 0.7814, decode.loss_dice: 1.2079, decode.d0.loss_cls: 2.5287, decode.d0.loss_mask: 0.7853, decode.d0.loss_dice: 1.3910, decode.d1.loss_cls: 0.8310, decode.d1.loss_mask: 0.8121, decode.d1.loss_dice: 1.2993, decode.d2.loss_cls: 0.7889, decode.d2.loss_mask: 0.7974, decode.d2.loss_dice: 1.2502, decode.d3.loss_cls: 0.7833, decode.d3.loss_mask: 0.7891, decode.d3.loss_dice: 1.2270, decode.d4.loss_cls: 0.7775, decode.d4.loss_mask: 0.7900, decode.d4.loss_dice: 1.2279, decode.d5.loss_cls: 0.7704, decode.d5.loss_mask: 0.7884, decode.d5.loss_dice: 1.2171, decode.d6.loss_cls: 0.7685, decode.d6.loss_mask: 0.7825, decode.d6.loss_dice: 1.2074, decode.d7.loss_cls: 0.7578, decode.d7.loss_mask: 0.7860, decode.d7.loss_dice: 1.2100, decode.d8.loss_cls: 0.7624, decode.d8.loss_mask: 0.7795, decode.d8.loss_dice: 1.2105, loss: 29.8686 2022-09-13 03:41:19,519 - mmseg - INFO - Iter [44050/80000] lr: 6.452e-07, eta: 19:19:02, time: 1.873, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7711, decode.loss_mask: 0.7778, decode.loss_dice: 1.1652, decode.d0.loss_cls: 2.5357, decode.d0.loss_mask: 0.7740, decode.d0.loss_dice: 1.3493, decode.d1.loss_cls: 0.8503, decode.d1.loss_mask: 0.8008, decode.d1.loss_dice: 1.2484, decode.d2.loss_cls: 0.7913, decode.d2.loss_mask: 0.7858, decode.d2.loss_dice: 1.2083, decode.d3.loss_cls: 0.7766, decode.d3.loss_mask: 0.7902, decode.d3.loss_dice: 1.1920, decode.d4.loss_cls: 0.7751, decode.d4.loss_mask: 0.7837, decode.d4.loss_dice: 1.1848, decode.d5.loss_cls: 0.7693, decode.d5.loss_mask: 0.7770, decode.d5.loss_dice: 1.1779, decode.d6.loss_cls: 0.7733, decode.d6.loss_mask: 0.7701, decode.d6.loss_dice: 1.1594, decode.d7.loss_cls: 0.7705, decode.d7.loss_mask: 0.7706, decode.d7.loss_dice: 1.1696, decode.d8.loss_cls: 0.7683, decode.d8.loss_mask: 0.7750, decode.d8.loss_dice: 1.1699, loss: 29.4111 2022-09-13 03:42:52,760 - mmseg - INFO - Iter [44100/80000] lr: 6.443e-07, eta: 19:17:23, time: 1.865, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8077, decode.loss_mask: 0.7595, decode.loss_dice: 1.1797, decode.d0.loss_cls: 2.6106, decode.d0.loss_mask: 0.7676, decode.d0.loss_dice: 1.3727, decode.d1.loss_cls: 0.8763, decode.d1.loss_mask: 0.7891, decode.d1.loss_dice: 1.2694, decode.d2.loss_cls: 0.8307, decode.d2.loss_mask: 0.7731, decode.d2.loss_dice: 1.2256, decode.d3.loss_cls: 0.8200, decode.d3.loss_mask: 0.7631, decode.d3.loss_dice: 1.1906, decode.d4.loss_cls: 0.8145, decode.d4.loss_mask: 0.7681, decode.d4.loss_dice: 1.2008, decode.d5.loss_cls: 0.8076, decode.d5.loss_mask: 0.7643, decode.d5.loss_dice: 1.1991, decode.d6.loss_cls: 0.8050, decode.d6.loss_mask: 0.7556, decode.d6.loss_dice: 1.1850, decode.d7.loss_cls: 0.8016, decode.d7.loss_mask: 0.7586, decode.d7.loss_dice: 1.1826, decode.d8.loss_cls: 0.8033, decode.d8.loss_mask: 0.7605, decode.d8.loss_dice: 1.1799, loss: 29.8224 2022-09-13 03:44:25,198 - mmseg - INFO - Iter [44150/80000] lr: 6.434e-07, eta: 19:15:42, time: 1.849, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7714, decode.loss_mask: 0.7559, decode.loss_dice: 1.1757, decode.d0.loss_cls: 2.5765, decode.d0.loss_mask: 0.7698, decode.d0.loss_dice: 1.3708, decode.d1.loss_cls: 0.8515, decode.d1.loss_mask: 0.7869, decode.d1.loss_dice: 1.2656, decode.d2.loss_cls: 0.8002, decode.d2.loss_mask: 0.7659, decode.d2.loss_dice: 1.2187, decode.d3.loss_cls: 0.7877, decode.d3.loss_mask: 0.7598, decode.d3.loss_dice: 1.1997, decode.d4.loss_cls: 0.7837, decode.d4.loss_mask: 0.7589, decode.d4.loss_dice: 1.2018, decode.d5.loss_cls: 0.7819, decode.d5.loss_mask: 0.7566, decode.d5.loss_dice: 1.1894, decode.d6.loss_cls: 0.7763, decode.d6.loss_mask: 0.7585, decode.d6.loss_dice: 1.1776, decode.d7.loss_cls: 0.7705, decode.d7.loss_mask: 0.7575, decode.d7.loss_dice: 1.1812, decode.d8.loss_cls: 0.7668, decode.d8.loss_mask: 0.7544, decode.d8.loss_dice: 1.1804, loss: 29.4514 2022-09-13 03:45:57,173 - mmseg - INFO - Iter [44200/80000] lr: 6.425e-07, eta: 19:14:02, time: 1.839, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7553, decode.loss_mask: 0.7699, decode.loss_dice: 1.1712, decode.d0.loss_cls: 2.5253, decode.d0.loss_mask: 0.7836, decode.d0.loss_dice: 1.3530, decode.d1.loss_cls: 0.8333, decode.d1.loss_mask: 0.7952, decode.d1.loss_dice: 1.2543, decode.d2.loss_cls: 0.7812, decode.d2.loss_mask: 0.7812, decode.d2.loss_dice: 1.2052, decode.d3.loss_cls: 0.7698, decode.d3.loss_mask: 0.7742, decode.d3.loss_dice: 1.1878, decode.d4.loss_cls: 0.7706, decode.d4.loss_mask: 0.7743, decode.d4.loss_dice: 1.1812, decode.d5.loss_cls: 0.7689, decode.d5.loss_mask: 0.7685, decode.d5.loss_dice: 1.1707, decode.d6.loss_cls: 0.7594, decode.d6.loss_mask: 0.7710, decode.d6.loss_dice: 1.1617, decode.d7.loss_cls: 0.7550, decode.d7.loss_mask: 0.7672, decode.d7.loss_dice: 1.1707, decode.d8.loss_cls: 0.7571, decode.d8.loss_mask: 0.7711, decode.d8.loss_dice: 1.1650, loss: 29.2529 2022-09-13 03:47:29,715 - mmseg - INFO - Iter [44250/80000] lr: 6.416e-07, eta: 19:12:22, time: 1.850, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7793, decode.loss_mask: 0.7628, decode.loss_dice: 1.1670, decode.d0.loss_cls: 2.5537, decode.d0.loss_mask: 0.7741, decode.d0.loss_dice: 1.3510, decode.d1.loss_cls: 0.8567, decode.d1.loss_mask: 0.7950, decode.d1.loss_dice: 1.2629, decode.d2.loss_cls: 0.8095, decode.d2.loss_mask: 0.7759, decode.d2.loss_dice: 1.2131, decode.d3.loss_cls: 0.7975, decode.d3.loss_mask: 0.7710, decode.d3.loss_dice: 1.1956, decode.d4.loss_cls: 0.7904, decode.d4.loss_mask: 0.7680, decode.d4.loss_dice: 1.1913, decode.d5.loss_cls: 0.7877, decode.d5.loss_mask: 0.7635, decode.d5.loss_dice: 1.1834, decode.d6.loss_cls: 0.7826, decode.d6.loss_mask: 0.7648, decode.d6.loss_dice: 1.1743, decode.d7.loss_cls: 0.7844, decode.d7.loss_mask: 0.7621, decode.d7.loss_dice: 1.1691, decode.d8.loss_cls: 0.7760, decode.d8.loss_mask: 0.7646, decode.d8.loss_dice: 1.1743, loss: 29.5015 2022-09-13 03:49:02,383 - mmseg - INFO - Iter [44300/80000] lr: 6.407e-07, eta: 19:10:42, time: 1.854, data_time: 0.017, memory: 42763, decode.loss_cls: 0.8104, decode.loss_mask: 0.7774, decode.loss_dice: 1.2104, decode.d0.loss_cls: 2.6341, decode.d0.loss_mask: 0.7830, decode.d0.loss_dice: 1.3980, decode.d1.loss_cls: 0.8811, decode.d1.loss_mask: 0.8060, decode.d1.loss_dice: 1.3001, decode.d2.loss_cls: 0.8286, decode.d2.loss_mask: 0.7895, decode.d2.loss_dice: 1.2553, decode.d3.loss_cls: 0.8192, decode.d3.loss_mask: 0.7875, decode.d3.loss_dice: 1.2349, decode.d4.loss_cls: 0.8189, decode.d4.loss_mask: 0.7814, decode.d4.loss_dice: 1.2259, decode.d5.loss_cls: 0.8145, decode.d5.loss_mask: 0.7834, decode.d5.loss_dice: 1.2232, decode.d6.loss_cls: 0.8133, decode.d6.loss_mask: 0.7771, decode.d6.loss_dice: 1.2131, decode.d7.loss_cls: 0.8099, decode.d7.loss_mask: 0.7753, decode.d7.loss_dice: 1.2182, decode.d8.loss_cls: 0.8060, decode.d8.loss_mask: 0.7755, decode.d8.loss_dice: 1.2116, loss: 30.3627 2022-09-13 03:50:35,229 - mmseg - INFO - Iter [44350/80000] lr: 6.398e-07, eta: 19:09:02, time: 1.857, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7673, decode.loss_mask: 0.7655, decode.loss_dice: 1.1691, decode.d0.loss_cls: 2.5595, decode.d0.loss_mask: 0.7840, decode.d0.loss_dice: 1.3483, decode.d1.loss_cls: 0.8674, decode.d1.loss_mask: 0.7963, decode.d1.loss_dice: 1.2511, decode.d2.loss_cls: 0.8032, decode.d2.loss_mask: 0.7851, decode.d2.loss_dice: 1.2127, decode.d3.loss_cls: 0.7852, decode.d3.loss_mask: 0.7783, decode.d3.loss_dice: 1.1902, decode.d4.loss_cls: 0.7781, decode.d4.loss_mask: 0.7764, decode.d4.loss_dice: 1.1912, decode.d5.loss_cls: 0.7786, decode.d5.loss_mask: 0.7660, decode.d5.loss_dice: 1.1735, decode.d6.loss_cls: 0.7756, decode.d6.loss_mask: 0.7657, decode.d6.loss_dice: 1.1735, decode.d7.loss_cls: 0.7709, decode.d7.loss_mask: 0.7631, decode.d7.loss_dice: 1.1670, decode.d8.loss_cls: 0.7705, decode.d8.loss_mask: 0.7617, decode.d8.loss_dice: 1.1718, loss: 29.4470 2022-09-13 03:52:11,743 - mmseg - INFO - Iter [44400/80000] lr: 6.389e-07, eta: 19:07:25, time: 1.930, data_time: 0.060, memory: 42763, decode.loss_cls: 0.8093, decode.loss_mask: 0.7692, decode.loss_dice: 1.2014, decode.d0.loss_cls: 2.6354, decode.d0.loss_mask: 0.7936, decode.d0.loss_dice: 1.4025, decode.d1.loss_cls: 0.8942, decode.d1.loss_mask: 0.7941, decode.d1.loss_dice: 1.2969, decode.d2.loss_cls: 0.8451, decode.d2.loss_mask: 0.7754, decode.d2.loss_dice: 1.2522, decode.d3.loss_cls: 0.8283, decode.d3.loss_mask: 0.7754, decode.d3.loss_dice: 1.2264, decode.d4.loss_cls: 0.8214, decode.d4.loss_mask: 0.7728, decode.d4.loss_dice: 1.2187, decode.d5.loss_cls: 0.8180, decode.d5.loss_mask: 0.7693, decode.d5.loss_dice: 1.2123, decode.d6.loss_cls: 0.8110, decode.d6.loss_mask: 0.7670, decode.d6.loss_dice: 1.2050, decode.d7.loss_cls: 0.8118, decode.d7.loss_mask: 0.7680, decode.d7.loss_dice: 1.2080, decode.d8.loss_cls: 0.8118, decode.d8.loss_mask: 0.7697, decode.d8.loss_dice: 1.2041, loss: 30.2681 2022-09-13 03:53:44,045 - mmseg - INFO - Iter [44450/80000] lr: 6.380e-07, eta: 19:05:45, time: 1.847, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7725, decode.loss_mask: 0.7531, decode.loss_dice: 1.1850, decode.d0.loss_cls: 2.5532, decode.d0.loss_mask: 0.7733, decode.d0.loss_dice: 1.3638, decode.d1.loss_cls: 0.8490, decode.d1.loss_mask: 0.7946, decode.d1.loss_dice: 1.2770, decode.d2.loss_cls: 0.7969, decode.d2.loss_mask: 0.7768, decode.d2.loss_dice: 1.2384, decode.d3.loss_cls: 0.7900, decode.d3.loss_mask: 0.7646, decode.d3.loss_dice: 1.2095, decode.d4.loss_cls: 0.7857, decode.d4.loss_mask: 0.7597, decode.d4.loss_dice: 1.2057, decode.d5.loss_cls: 0.7746, decode.d5.loss_mask: 0.7555, decode.d5.loss_dice: 1.2016, decode.d6.loss_cls: 0.7790, decode.d6.loss_mask: 0.7541, decode.d6.loss_dice: 1.1867, decode.d7.loss_cls: 0.7766, decode.d7.loss_mask: 0.7530, decode.d7.loss_dice: 1.1885, decode.d8.loss_cls: 0.7708, decode.d8.loss_mask: 0.7533, decode.d8.loss_dice: 1.1814, loss: 29.5238 2022-09-13 03:55:17,044 - mmseg - INFO - Iter [44500/80000] lr: 6.372e-07, eta: 19:04:05, time: 1.860, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7726, decode.loss_mask: 0.7457, decode.loss_dice: 1.1917, decode.d0.loss_cls: 2.5328, decode.d0.loss_mask: 0.7608, decode.d0.loss_dice: 1.3702, decode.d1.loss_cls: 0.8507, decode.d1.loss_mask: 0.7767, decode.d1.loss_dice: 1.2767, decode.d2.loss_cls: 0.7969, decode.d2.loss_mask: 0.7615, decode.d2.loss_dice: 1.2279, decode.d3.loss_cls: 0.7891, decode.d3.loss_mask: 0.7547, decode.d3.loss_dice: 1.2063, decode.d4.loss_cls: 0.7816, decode.d4.loss_mask: 0.7542, decode.d4.loss_dice: 1.2076, decode.d5.loss_cls: 0.7766, decode.d5.loss_mask: 0.7544, decode.d5.loss_dice: 1.1970, decode.d6.loss_cls: 0.7729, decode.d6.loss_mask: 0.7499, decode.d6.loss_dice: 1.1920, decode.d7.loss_cls: 0.7744, decode.d7.loss_mask: 0.7474, decode.d7.loss_dice: 1.1886, decode.d8.loss_cls: 0.7680, decode.d8.loss_mask: 0.7460, decode.d8.loss_dice: 1.1866, loss: 29.4115 2022-09-13 03:56:50,699 - mmseg - INFO - Iter [44550/80000] lr: 6.363e-07, eta: 19:02:26, time: 1.873, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7700, decode.loss_mask: 0.7599, decode.loss_dice: 1.1832, decode.d0.loss_cls: 2.5556, decode.d0.loss_mask: 0.7770, decode.d0.loss_dice: 1.3514, decode.d1.loss_cls: 0.8368, decode.d1.loss_mask: 0.7932, decode.d1.loss_dice: 1.2739, decode.d2.loss_cls: 0.7983, decode.d2.loss_mask: 0.7741, decode.d2.loss_dice: 1.2322, decode.d3.loss_cls: 0.7858, decode.d3.loss_mask: 0.7669, decode.d3.loss_dice: 1.2098, decode.d4.loss_cls: 0.7848, decode.d4.loss_mask: 0.7650, decode.d4.loss_dice: 1.2017, decode.d5.loss_cls: 0.7690, decode.d5.loss_mask: 0.7653, decode.d5.loss_dice: 1.2001, decode.d6.loss_cls: 0.7711, decode.d6.loss_mask: 0.7598, decode.d6.loss_dice: 1.1902, decode.d7.loss_cls: 0.7687, decode.d7.loss_mask: 0.7598, decode.d7.loss_dice: 1.1884, decode.d8.loss_cls: 0.7708, decode.d8.loss_mask: 0.7611, decode.d8.loss_dice: 1.1898, loss: 29.5136 2022-09-13 03:58:24,512 - mmseg - INFO - Iter [44600/80000] lr: 6.354e-07, eta: 19:00:47, time: 1.876, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7557, decode.loss_mask: 0.7555, decode.loss_dice: 1.1776, decode.d0.loss_cls: 2.5203, decode.d0.loss_mask: 0.7672, decode.d0.loss_dice: 1.3710, decode.d1.loss_cls: 0.8347, decode.d1.loss_mask: 0.7858, decode.d1.loss_dice: 1.2751, decode.d2.loss_cls: 0.7857, decode.d2.loss_mask: 0.7696, decode.d2.loss_dice: 1.2119, decode.d3.loss_cls: 0.7769, decode.d3.loss_mask: 0.7647, decode.d3.loss_dice: 1.1871, decode.d4.loss_cls: 0.7727, decode.d4.loss_mask: 0.7597, decode.d4.loss_dice: 1.1853, decode.d5.loss_cls: 0.7595, decode.d5.loss_mask: 0.7584, decode.d5.loss_dice: 1.1916, decode.d6.loss_cls: 0.7597, decode.d6.loss_mask: 0.7550, decode.d6.loss_dice: 1.1702, decode.d7.loss_cls: 0.7607, decode.d7.loss_mask: 0.7570, decode.d7.loss_dice: 1.1792, decode.d8.loss_cls: 0.7487, decode.d8.loss_mask: 0.7561, decode.d8.loss_dice: 1.1858, loss: 29.2384 2022-09-13 03:59:56,645 - mmseg - INFO - Iter [44650/80000] lr: 6.345e-07, eta: 18:59:07, time: 1.843, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7868, decode.loss_mask: 0.7351, decode.loss_dice: 1.1533, decode.d0.loss_cls: 2.5962, decode.d0.loss_mask: 0.7566, decode.d0.loss_dice: 1.3601, decode.d1.loss_cls: 0.8715, decode.d1.loss_mask: 0.7734, decode.d1.loss_dice: 1.2544, decode.d2.loss_cls: 0.8149, decode.d2.loss_mask: 0.7588, decode.d2.loss_dice: 1.2064, decode.d3.loss_cls: 0.8009, decode.d3.loss_mask: 0.7539, decode.d3.loss_dice: 1.1871, decode.d4.loss_cls: 0.8035, decode.d4.loss_mask: 0.7495, decode.d4.loss_dice: 1.1794, decode.d5.loss_cls: 0.7911, decode.d5.loss_mask: 0.7429, decode.d5.loss_dice: 1.1735, decode.d6.loss_cls: 0.7855, decode.d6.loss_mask: 0.7392, decode.d6.loss_dice: 1.1588, decode.d7.loss_cls: 0.7856, decode.d7.loss_mask: 0.7434, decode.d7.loss_dice: 1.1598, decode.d8.loss_cls: 0.7859, decode.d8.loss_mask: 0.7429, decode.d8.loss_dice: 1.1554, loss: 29.3058 2022-09-13 04:01:29,415 - mmseg - INFO - Iter [44700/80000] lr: 6.336e-07, eta: 18:57:27, time: 1.855, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7732, decode.loss_mask: 0.7752, decode.loss_dice: 1.1998, decode.d0.loss_cls: 2.5530, decode.d0.loss_mask: 0.7934, decode.d0.loss_dice: 1.3899, decode.d1.loss_cls: 0.8528, decode.d1.loss_mask: 0.8145, decode.d1.loss_dice: 1.2874, decode.d2.loss_cls: 0.7922, decode.d2.loss_mask: 0.7973, decode.d2.loss_dice: 1.2416, decode.d3.loss_cls: 0.7889, decode.d3.loss_mask: 0.7870, decode.d3.loss_dice: 1.2155, decode.d4.loss_cls: 0.7748, decode.d4.loss_mask: 0.7882, decode.d4.loss_dice: 1.2176, decode.d5.loss_cls: 0.7691, decode.d5.loss_mask: 0.7893, decode.d5.loss_dice: 1.2202, decode.d6.loss_cls: 0.7677, decode.d6.loss_mask: 0.7803, decode.d6.loss_dice: 1.2118, decode.d7.loss_cls: 0.7684, decode.d7.loss_mask: 0.7816, decode.d7.loss_dice: 1.2107, decode.d8.loss_cls: 0.7737, decode.d8.loss_mask: 0.7773, decode.d8.loss_dice: 1.2008, loss: 29.8931 2022-09-13 04:03:01,752 - mmseg - INFO - Iter [44750/80000] lr: 6.327e-07, eta: 18:55:47, time: 1.847, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7606, decode.loss_mask: 0.7657, decode.loss_dice: 1.1751, decode.d0.loss_cls: 2.5535, decode.d0.loss_mask: 0.7726, decode.d0.loss_dice: 1.3694, decode.d1.loss_cls: 0.8355, decode.d1.loss_mask: 0.7904, decode.d1.loss_dice: 1.2604, decode.d2.loss_cls: 0.7839, decode.d2.loss_mask: 0.7813, decode.d2.loss_dice: 1.2202, decode.d3.loss_cls: 0.7735, decode.d3.loss_mask: 0.7744, decode.d3.loss_dice: 1.1969, decode.d4.loss_cls: 0.7790, decode.d4.loss_mask: 0.7710, decode.d4.loss_dice: 1.1955, decode.d5.loss_cls: 0.7679, decode.d5.loss_mask: 0.7662, decode.d5.loss_dice: 1.1844, decode.d6.loss_cls: 0.7589, decode.d6.loss_mask: 0.7670, decode.d6.loss_dice: 1.1844, decode.d7.loss_cls: 0.7521, decode.d7.loss_mask: 0.7657, decode.d7.loss_dice: 1.1820, decode.d8.loss_cls: 0.7572, decode.d8.loss_mask: 0.7666, decode.d8.loss_dice: 1.1783, loss: 29.3894 2022-09-13 04:04:33,616 - mmseg - INFO - Iter [44800/80000] lr: 6.318e-07, eta: 18:54:07, time: 1.837, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7849, decode.loss_mask: 0.7797, decode.loss_dice: 1.1768, decode.d0.loss_cls: 2.5604, decode.d0.loss_mask: 0.7911, decode.d0.loss_dice: 1.3723, decode.d1.loss_cls: 0.8674, decode.d1.loss_mask: 0.8114, decode.d1.loss_dice: 1.2689, decode.d2.loss_cls: 0.8122, decode.d2.loss_mask: 0.7940, decode.d2.loss_dice: 1.2299, decode.d3.loss_cls: 0.8008, decode.d3.loss_mask: 0.7814, decode.d3.loss_dice: 1.2013, decode.d4.loss_cls: 0.7943, decode.d4.loss_mask: 0.7845, decode.d4.loss_dice: 1.1923, decode.d5.loss_cls: 0.7891, decode.d5.loss_mask: 0.7842, decode.d5.loss_dice: 1.1895, decode.d6.loss_cls: 0.7890, decode.d6.loss_mask: 0.7822, decode.d6.loss_dice: 1.1800, decode.d7.loss_cls: 0.7857, decode.d7.loss_mask: 0.7823, decode.d7.loss_dice: 1.1809, decode.d8.loss_cls: 0.7887, decode.d8.loss_mask: 0.7775, decode.d8.loss_dice: 1.1818, loss: 29.8144 2022-09-13 04:06:06,599 - mmseg - INFO - Iter [44850/80000] lr: 6.309e-07, eta: 18:52:27, time: 1.860, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7707, decode.loss_mask: 0.7641, decode.loss_dice: 1.1824, decode.d0.loss_cls: 2.5323, decode.d0.loss_mask: 0.7841, decode.d0.loss_dice: 1.3803, decode.d1.loss_cls: 0.8498, decode.d1.loss_mask: 0.8049, decode.d1.loss_dice: 1.2899, decode.d2.loss_cls: 0.8031, decode.d2.loss_mask: 0.7799, decode.d2.loss_dice: 1.2365, decode.d3.loss_cls: 0.7896, decode.d3.loss_mask: 0.7765, decode.d3.loss_dice: 1.2126, decode.d4.loss_cls: 0.7845, decode.d4.loss_mask: 0.7720, decode.d4.loss_dice: 1.2097, decode.d5.loss_cls: 0.7771, decode.d5.loss_mask: 0.7676, decode.d5.loss_dice: 1.1998, decode.d6.loss_cls: 0.7709, decode.d6.loss_mask: 0.7669, decode.d6.loss_dice: 1.1920, decode.d7.loss_cls: 0.7656, decode.d7.loss_mask: 0.7661, decode.d7.loss_dice: 1.1914, decode.d8.loss_cls: 0.7632, decode.d8.loss_mask: 0.7626, decode.d8.loss_dice: 1.1884, loss: 29.6342 2022-09-13 04:07:39,798 - mmseg - INFO - Iter [44900/80000] lr: 6.300e-07, eta: 18:50:48, time: 1.864, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7650, decode.loss_mask: 0.7538, decode.loss_dice: 1.1585, decode.d0.loss_cls: 2.5725, decode.d0.loss_mask: 0.7709, decode.d0.loss_dice: 1.3420, decode.d1.loss_cls: 0.8306, decode.d1.loss_mask: 0.7860, decode.d1.loss_dice: 1.2454, decode.d2.loss_cls: 0.7863, decode.d2.loss_mask: 0.7623, decode.d2.loss_dice: 1.2064, decode.d3.loss_cls: 0.7704, decode.d3.loss_mask: 0.7607, decode.d3.loss_dice: 1.1858, decode.d4.loss_cls: 0.7745, decode.d4.loss_mask: 0.7566, decode.d4.loss_dice: 1.1773, decode.d5.loss_cls: 0.7683, decode.d5.loss_mask: 0.7573, decode.d5.loss_dice: 1.1727, decode.d6.loss_cls: 0.7642, decode.d6.loss_mask: 0.7536, decode.d6.loss_dice: 1.1628, decode.d7.loss_cls: 0.7596, decode.d7.loss_mask: 0.7559, decode.d7.loss_dice: 1.1589, decode.d8.loss_cls: 0.7653, decode.d8.loss_mask: 0.7513, decode.d8.loss_dice: 1.1566, loss: 29.1315 2022-09-13 04:09:11,817 - mmseg - INFO - Iter [44950/80000] lr: 6.291e-07, eta: 18:49:08, time: 1.840, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7812, decode.loss_mask: 0.7308, decode.loss_dice: 1.1617, decode.d0.loss_cls: 2.5857, decode.d0.loss_mask: 0.7465, decode.d0.loss_dice: 1.3510, decode.d1.loss_cls: 0.8697, decode.d1.loss_mask: 0.7689, decode.d1.loss_dice: 1.2587, decode.d2.loss_cls: 0.8107, decode.d2.loss_mask: 0.7496, decode.d2.loss_dice: 1.2025, decode.d3.loss_cls: 0.7977, decode.d3.loss_mask: 0.7414, decode.d3.loss_dice: 1.1834, decode.d4.loss_cls: 0.7856, decode.d4.loss_mask: 0.7436, decode.d4.loss_dice: 1.1824, decode.d5.loss_cls: 0.7864, decode.d5.loss_mask: 0.7391, decode.d5.loss_dice: 1.1708, decode.d6.loss_cls: 0.7800, decode.d6.loss_mask: 0.7328, decode.d6.loss_dice: 1.1614, decode.d7.loss_cls: 0.7789, decode.d7.loss_mask: 0.7326, decode.d7.loss_dice: 1.1634, decode.d8.loss_cls: 0.7796, decode.d8.loss_mask: 0.7356, decode.d8.loss_dice: 1.1648, loss: 29.1765 2022-09-13 04:10:44,315 - mmseg - INFO - Saving checkpoint at 45000 iterations 2022-09-13 04:11:13,872 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 04:11:13,879 - mmseg - INFO - Iter [45000/80000] lr: 6.282e-07, eta: 18:47:51, time: 2.439, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7775, decode.loss_mask: 0.7748, decode.loss_dice: 1.1744, decode.d0.loss_cls: 2.5444, decode.d0.loss_mask: 0.7863, decode.d0.loss_dice: 1.3645, decode.d1.loss_cls: 0.8387, decode.d1.loss_mask: 0.8149, decode.d1.loss_dice: 1.2829, decode.d2.loss_cls: 0.7978, decode.d2.loss_mask: 0.7937, decode.d2.loss_dice: 1.2185, decode.d3.loss_cls: 0.7767, decode.d3.loss_mask: 0.7912, decode.d3.loss_dice: 1.1991, decode.d4.loss_cls: 0.7767, decode.d4.loss_mask: 0.7843, decode.d4.loss_dice: 1.1999, decode.d5.loss_cls: 0.7710, decode.d5.loss_mask: 0.7845, decode.d5.loss_dice: 1.1939, decode.d6.loss_cls: 0.7685, decode.d6.loss_mask: 0.7787, decode.d6.loss_dice: 1.1788, decode.d7.loss_cls: 0.7664, decode.d7.loss_mask: 0.7783, decode.d7.loss_dice: 1.1755, decode.d8.loss_cls: 0.7680, decode.d8.loss_mask: 0.7786, decode.d8.loss_dice: 1.1716, loss: 29.6102 2022-09-13 04:12:45,818 - mmseg - INFO - Iter [45050/80000] lr: 6.273e-07, eta: 18:46:10, time: 1.841, data_time: 0.018, memory: 42763, decode.loss_cls: 0.7922, decode.loss_mask: 0.7485, decode.loss_dice: 1.1733, decode.d0.loss_cls: 2.5730, decode.d0.loss_mask: 0.7609, decode.d0.loss_dice: 1.3838, decode.d1.loss_cls: 0.8728, decode.d1.loss_mask: 0.7853, decode.d1.loss_dice: 1.2885, decode.d2.loss_cls: 0.8178, decode.d2.loss_mask: 0.7581, decode.d2.loss_dice: 1.2277, decode.d3.loss_cls: 0.8134, decode.d3.loss_mask: 0.7526, decode.d3.loss_dice: 1.2023, decode.d4.loss_cls: 0.8035, decode.d4.loss_mask: 0.7571, decode.d4.loss_dice: 1.2047, decode.d5.loss_cls: 0.7927, decode.d5.loss_mask: 0.7552, decode.d5.loss_dice: 1.1901, decode.d6.loss_cls: 0.7931, decode.d6.loss_mask: 0.7449, decode.d6.loss_dice: 1.1807, decode.d7.loss_cls: 0.7881, decode.d7.loss_mask: 0.7442, decode.d7.loss_dice: 1.1794, decode.d8.loss_cls: 0.7842, decode.d8.loss_mask: 0.7449, decode.d8.loss_dice: 1.1842, loss: 29.5972 2022-09-13 04:14:18,828 - mmseg - INFO - Iter [45100/80000] lr: 6.264e-07, eta: 18:44:31, time: 1.860, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7757, decode.loss_mask: 0.7655, decode.loss_dice: 1.2039, decode.d0.loss_cls: 2.5860, decode.d0.loss_mask: 0.7763, decode.d0.loss_dice: 1.3841, decode.d1.loss_cls: 0.8515, decode.d1.loss_mask: 0.7996, decode.d1.loss_dice: 1.2966, decode.d2.loss_cls: 0.8041, decode.d2.loss_mask: 0.7817, decode.d2.loss_dice: 1.2418, decode.d3.loss_cls: 0.8011, decode.d3.loss_mask: 0.7721, decode.d3.loss_dice: 1.2242, decode.d4.loss_cls: 0.7935, decode.d4.loss_mask: 0.7656, decode.d4.loss_dice: 1.2210, decode.d5.loss_cls: 0.7834, decode.d5.loss_mask: 0.7677, decode.d5.loss_dice: 1.2144, decode.d6.loss_cls: 0.7832, decode.d6.loss_mask: 0.7648, decode.d6.loss_dice: 1.2031, decode.d7.loss_cls: 0.7856, decode.d7.loss_mask: 0.7636, decode.d7.loss_dice: 1.2028, decode.d8.loss_cls: 0.7808, decode.d8.loss_mask: 0.7670, decode.d8.loss_dice: 1.2036, loss: 29.8643 2022-09-13 04:15:50,619 - mmseg - INFO - Iter [45150/80000] lr: 6.255e-07, eta: 18:42:50, time: 1.834, data_time: 0.017, memory: 42763, decode.loss_cls: 0.8127, decode.loss_mask: 0.7664, decode.loss_dice: 1.2045, decode.d0.loss_cls: 2.6295, decode.d0.loss_mask: 0.7818, decode.d0.loss_dice: 1.3947, decode.d1.loss_cls: 0.8819, decode.d1.loss_mask: 0.7900, decode.d1.loss_dice: 1.2992, decode.d2.loss_cls: 0.8325, decode.d2.loss_mask: 0.7806, decode.d2.loss_dice: 1.2448, decode.d3.loss_cls: 0.8270, decode.d3.loss_mask: 0.7726, decode.d3.loss_dice: 1.2218, decode.d4.loss_cls: 0.8139, decode.d4.loss_mask: 0.7729, decode.d4.loss_dice: 1.2179, decode.d5.loss_cls: 0.8169, decode.d5.loss_mask: 0.7709, decode.d5.loss_dice: 1.2027, decode.d6.loss_cls: 0.8117, decode.d6.loss_mask: 0.7695, decode.d6.loss_dice: 1.1995, decode.d7.loss_cls: 0.8130, decode.d7.loss_mask: 0.7704, decode.d7.loss_dice: 1.1983, decode.d8.loss_cls: 0.8063, decode.d8.loss_mask: 0.7682, decode.d8.loss_dice: 1.2011, loss: 30.1734 2022-09-13 04:17:23,343 - mmseg - INFO - Iter [45200/80000] lr: 6.246e-07, eta: 18:41:11, time: 1.856, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7555, decode.loss_mask: 0.7612, decode.loss_dice: 1.1461, decode.d0.loss_cls: 2.5013, decode.d0.loss_mask: 0.7748, decode.d0.loss_dice: 1.3352, decode.d1.loss_cls: 0.8329, decode.d1.loss_mask: 0.7975, decode.d1.loss_dice: 1.2412, decode.d2.loss_cls: 0.7767, decode.d2.loss_mask: 0.7809, decode.d2.loss_dice: 1.1909, decode.d3.loss_cls: 0.7657, decode.d3.loss_mask: 0.7725, decode.d3.loss_dice: 1.1641, decode.d4.loss_cls: 0.7644, decode.d4.loss_mask: 0.7705, decode.d4.loss_dice: 1.1646, decode.d5.loss_cls: 0.7561, decode.d5.loss_mask: 0.7658, decode.d5.loss_dice: 1.1563, decode.d6.loss_cls: 0.7571, decode.d6.loss_mask: 0.7652, decode.d6.loss_dice: 1.1506, decode.d7.loss_cls: 0.7600, decode.d7.loss_mask: 0.7639, decode.d7.loss_dice: 1.1507, decode.d8.loss_cls: 0.7563, decode.d8.loss_mask: 0.7614, decode.d8.loss_dice: 1.1509, loss: 28.9903 2022-09-13 04:18:55,911 - mmseg - INFO - Iter [45250/80000] lr: 6.237e-07, eta: 18:39:31, time: 1.851, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7850, decode.loss_mask: 0.7475, decode.loss_dice: 1.1731, decode.d0.loss_cls: 2.6059, decode.d0.loss_mask: 0.7617, decode.d0.loss_dice: 1.3564, decode.d1.loss_cls: 0.8662, decode.d1.loss_mask: 0.7806, decode.d1.loss_dice: 1.2614, decode.d2.loss_cls: 0.8105, decode.d2.loss_mask: 0.7654, decode.d2.loss_dice: 1.2167, decode.d3.loss_cls: 0.7985, decode.d3.loss_mask: 0.7660, decode.d3.loss_dice: 1.1937, decode.d4.loss_cls: 0.7951, decode.d4.loss_mask: 0.7569, decode.d4.loss_dice: 1.1983, decode.d5.loss_cls: 0.7866, decode.d5.loss_mask: 0.7589, decode.d5.loss_dice: 1.1873, decode.d6.loss_cls: 0.7920, decode.d6.loss_mask: 0.7485, decode.d6.loss_dice: 1.1774, decode.d7.loss_cls: 0.7806, decode.d7.loss_mask: 0.7500, decode.d7.loss_dice: 1.1825, decode.d8.loss_cls: 0.7855, decode.d8.loss_mask: 0.7443, decode.d8.loss_dice: 1.1767, loss: 29.5094 2022-09-13 04:20:29,960 - mmseg - INFO - Iter [45300/80000] lr: 6.228e-07, eta: 18:37:52, time: 1.880, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7968, decode.loss_mask: 0.7838, decode.loss_dice: 1.1734, decode.d0.loss_cls: 2.5517, decode.d0.loss_mask: 0.7930, decode.d0.loss_dice: 1.3584, decode.d1.loss_cls: 0.8712, decode.d1.loss_mask: 0.8176, decode.d1.loss_dice: 1.2716, decode.d2.loss_cls: 0.8274, decode.d2.loss_mask: 0.7989, decode.d2.loss_dice: 1.2130, decode.d3.loss_cls: 0.8158, decode.d3.loss_mask: 0.7904, decode.d3.loss_dice: 1.1995, decode.d4.loss_cls: 0.8116, decode.d4.loss_mask: 0.7855, decode.d4.loss_dice: 1.1914, decode.d5.loss_cls: 0.8065, decode.d5.loss_mask: 0.7819, decode.d5.loss_dice: 1.1860, decode.d6.loss_cls: 0.7978, decode.d6.loss_mask: 0.7822, decode.d6.loss_dice: 1.1751, decode.d7.loss_cls: 0.7963, decode.d7.loss_mask: 0.7818, decode.d7.loss_dice: 1.1754, decode.d8.loss_cls: 0.7994, decode.d8.loss_mask: 0.7801, decode.d8.loss_dice: 1.1735, loss: 29.8870 2022-09-13 04:22:02,563 - mmseg - INFO - Iter [45350/80000] lr: 6.219e-07, eta: 18:36:13, time: 1.853, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7917, decode.loss_mask: 0.7599, decode.loss_dice: 1.1751, decode.d0.loss_cls: 2.5712, decode.d0.loss_mask: 0.7704, decode.d0.loss_dice: 1.3565, decode.d1.loss_cls: 0.8515, decode.d1.loss_mask: 0.7959, decode.d1.loss_dice: 1.2711, decode.d2.loss_cls: 0.8045, decode.d2.loss_mask: 0.7768, decode.d2.loss_dice: 1.2175, decode.d3.loss_cls: 0.8032, decode.d3.loss_mask: 0.7659, decode.d3.loss_dice: 1.1841, decode.d4.loss_cls: 0.7931, decode.d4.loss_mask: 0.7662, decode.d4.loss_dice: 1.1878, decode.d5.loss_cls: 0.7909, decode.d5.loss_mask: 0.7677, decode.d5.loss_dice: 1.1776, decode.d6.loss_cls: 0.7906, decode.d6.loss_mask: 0.7656, decode.d6.loss_dice: 1.1719, decode.d7.loss_cls: 0.7913, decode.d7.loss_mask: 0.7652, decode.d7.loss_dice: 1.1807, decode.d8.loss_cls: 0.7875, decode.d8.loss_mask: 0.7608, decode.d8.loss_dice: 1.1739, loss: 29.5661 2022-09-13 04:23:34,993 - mmseg - INFO - Iter [45400/80000] lr: 6.210e-07, eta: 18:34:33, time: 1.849, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8289, decode.loss_mask: 0.7828, decode.loss_dice: 1.1986, decode.d0.loss_cls: 2.6044, decode.d0.loss_mask: 0.7943, decode.d0.loss_dice: 1.3951, decode.d1.loss_cls: 0.9049, decode.d1.loss_mask: 0.8131, decode.d1.loss_dice: 1.2956, decode.d2.loss_cls: 0.8619, decode.d2.loss_mask: 0.7929, decode.d2.loss_dice: 1.2495, decode.d3.loss_cls: 0.8479, decode.d3.loss_mask: 0.7887, decode.d3.loss_dice: 1.2203, decode.d4.loss_cls: 0.8377, decode.d4.loss_mask: 0.7879, decode.d4.loss_dice: 1.2192, decode.d5.loss_cls: 0.8314, decode.d5.loss_mask: 0.7812, decode.d5.loss_dice: 1.2149, decode.d6.loss_cls: 0.8335, decode.d6.loss_mask: 0.7764, decode.d6.loss_dice: 1.2061, decode.d7.loss_cls: 0.8261, decode.d7.loss_mask: 0.7807, decode.d7.loss_dice: 1.1997, decode.d8.loss_cls: 0.8263, decode.d8.loss_mask: 0.7799, decode.d8.loss_dice: 1.2039, loss: 30.4837 2022-09-13 04:25:07,129 - mmseg - INFO - Iter [45450/80000] lr: 6.201e-07, eta: 18:32:53, time: 1.843, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7407, decode.loss_mask: 0.7649, decode.loss_dice: 1.1672, decode.d0.loss_cls: 2.5419, decode.d0.loss_mask: 0.7818, decode.d0.loss_dice: 1.3660, decode.d1.loss_cls: 0.8276, decode.d1.loss_mask: 0.7955, decode.d1.loss_dice: 1.2623, decode.d2.loss_cls: 0.7781, decode.d2.loss_mask: 0.7788, decode.d2.loss_dice: 1.2131, decode.d3.loss_cls: 0.7669, decode.d3.loss_mask: 0.7727, decode.d3.loss_dice: 1.1897, decode.d4.loss_cls: 0.7594, decode.d4.loss_mask: 0.7693, decode.d4.loss_dice: 1.1906, decode.d5.loss_cls: 0.7528, decode.d5.loss_mask: 0.7710, decode.d5.loss_dice: 1.1830, decode.d6.loss_cls: 0.7525, decode.d6.loss_mask: 0.7651, decode.d6.loss_dice: 1.1652, decode.d7.loss_cls: 0.7502, decode.d7.loss_mask: 0.7623, decode.d7.loss_dice: 1.1650, decode.d8.loss_cls: 0.7426, decode.d8.loss_mask: 0.7650, decode.d8.loss_dice: 1.1628, loss: 29.2040 2022-09-13 04:26:39,889 - mmseg - INFO - Iter [45500/80000] lr: 6.192e-07, eta: 18:31:13, time: 1.855, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8154, decode.loss_mask: 0.7640, decode.loss_dice: 1.2145, decode.d0.loss_cls: 2.6286, decode.d0.loss_mask: 0.7819, decode.d0.loss_dice: 1.4066, decode.d1.loss_cls: 0.8959, decode.d1.loss_mask: 0.7997, decode.d1.loss_dice: 1.3112, decode.d2.loss_cls: 0.8420, decode.d2.loss_mask: 0.7759, decode.d2.loss_dice: 1.2570, decode.d3.loss_cls: 0.8223, decode.d3.loss_mask: 0.7723, decode.d3.loss_dice: 1.2294, decode.d4.loss_cls: 0.8141, decode.d4.loss_mask: 0.7726, decode.d4.loss_dice: 1.2270, decode.d5.loss_cls: 0.8058, decode.d5.loss_mask: 0.7741, decode.d5.loss_dice: 1.2252, decode.d6.loss_cls: 0.8061, decode.d6.loss_mask: 0.7716, decode.d6.loss_dice: 1.2128, decode.d7.loss_cls: 0.8060, decode.d7.loss_mask: 0.7699, decode.d7.loss_dice: 1.2167, decode.d8.loss_cls: 0.8082, decode.d8.loss_mask: 0.7664, decode.d8.loss_dice: 1.2145, loss: 30.3077 2022-09-13 04:28:12,846 - mmseg - INFO - Iter [45550/80000] lr: 6.183e-07, eta: 18:29:34, time: 1.859, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7403, decode.loss_mask: 0.7576, decode.loss_dice: 1.1761, decode.d0.loss_cls: 2.5099, decode.d0.loss_mask: 0.7767, decode.d0.loss_dice: 1.3586, decode.d1.loss_cls: 0.8241, decode.d1.loss_mask: 0.7896, decode.d1.loss_dice: 1.2917, decode.d2.loss_cls: 0.7719, decode.d2.loss_mask: 0.7744, decode.d2.loss_dice: 1.2273, decode.d3.loss_cls: 0.7673, decode.d3.loss_mask: 0.7632, decode.d3.loss_dice: 1.1963, decode.d4.loss_cls: 0.7491, decode.d4.loss_mask: 0.7593, decode.d4.loss_dice: 1.1937, decode.d5.loss_cls: 0.7510, decode.d5.loss_mask: 0.7579, decode.d5.loss_dice: 1.1885, decode.d6.loss_cls: 0.7424, decode.d6.loss_mask: 0.7597, decode.d6.loss_dice: 1.1796, decode.d7.loss_cls: 0.7422, decode.d7.loss_mask: 0.7565, decode.d7.loss_dice: 1.1845, decode.d8.loss_cls: 0.7352, decode.d8.loss_mask: 0.7603, decode.d8.loss_dice: 1.1792, loss: 29.1642 2022-09-13 04:29:45,812 - mmseg - INFO - Iter [45600/80000] lr: 6.174e-07, eta: 18:27:54, time: 1.859, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7476, decode.loss_mask: 0.7692, decode.loss_dice: 1.1875, decode.d0.loss_cls: 2.4657, decode.d0.loss_mask: 0.7859, decode.d0.loss_dice: 1.3488, decode.d1.loss_cls: 0.8203, decode.d1.loss_mask: 0.8019, decode.d1.loss_dice: 1.2729, decode.d2.loss_cls: 0.7663, decode.d2.loss_mask: 0.7970, decode.d2.loss_dice: 1.2288, decode.d3.loss_cls: 0.7587, decode.d3.loss_mask: 0.7761, decode.d3.loss_dice: 1.2106, decode.d4.loss_cls: 0.7522, decode.d4.loss_mask: 0.7767, decode.d4.loss_dice: 1.2051, decode.d5.loss_cls: 0.7474, decode.d5.loss_mask: 0.7699, decode.d5.loss_dice: 1.1977, decode.d6.loss_cls: 0.7414, decode.d6.loss_mask: 0.7718, decode.d6.loss_dice: 1.1895, decode.d7.loss_cls: 0.7400, decode.d7.loss_mask: 0.7717, decode.d7.loss_dice: 1.1936, decode.d8.loss_cls: 0.7426, decode.d8.loss_mask: 0.7709, decode.d8.loss_dice: 1.1873, loss: 29.2948 2022-09-13 04:31:18,386 - mmseg - INFO - Iter [45650/80000] lr: 6.165e-07, eta: 18:26:15, time: 1.851, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7731, decode.loss_mask: 0.7566, decode.loss_dice: 1.1949, decode.d0.loss_cls: 2.5605, decode.d0.loss_mask: 0.7638, decode.d0.loss_dice: 1.3685, decode.d1.loss_cls: 0.8624, decode.d1.loss_mask: 0.7836, decode.d1.loss_dice: 1.2838, decode.d2.loss_cls: 0.8032, decode.d2.loss_mask: 0.7705, decode.d2.loss_dice: 1.2448, decode.d3.loss_cls: 0.7975, decode.d3.loss_mask: 0.7593, decode.d3.loss_dice: 1.2097, decode.d4.loss_cls: 0.7894, decode.d4.loss_mask: 0.7646, decode.d4.loss_dice: 1.2120, decode.d5.loss_cls: 0.7840, decode.d5.loss_mask: 0.7620, decode.d5.loss_dice: 1.2042, decode.d6.loss_cls: 0.7795, decode.d6.loss_mask: 0.7559, decode.d6.loss_dice: 1.2013, decode.d7.loss_cls: 0.7711, decode.d7.loss_mask: 0.7586, decode.d7.loss_dice: 1.2026, decode.d8.loss_cls: 0.7683, decode.d8.loss_mask: 0.7584, decode.d8.loss_dice: 1.1958, loss: 29.6399 2022-09-13 04:32:51,947 - mmseg - INFO - Iter [45700/80000] lr: 6.156e-07, eta: 18:24:36, time: 1.871, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7974, decode.loss_mask: 0.7528, decode.loss_dice: 1.2131, decode.d0.loss_cls: 2.6003, decode.d0.loss_mask: 0.7730, decode.d0.loss_dice: 1.4020, decode.d1.loss_cls: 0.8727, decode.d1.loss_mask: 0.7875, decode.d1.loss_dice: 1.3084, decode.d2.loss_cls: 0.8197, decode.d2.loss_mask: 0.7735, decode.d2.loss_dice: 1.2598, decode.d3.loss_cls: 0.8084, decode.d3.loss_mask: 0.7615, decode.d3.loss_dice: 1.2417, decode.d4.loss_cls: 0.8026, decode.d4.loss_mask: 0.7604, decode.d4.loss_dice: 1.2350, decode.d5.loss_cls: 0.8008, decode.d5.loss_mask: 0.7587, decode.d5.loss_dice: 1.2285, decode.d6.loss_cls: 0.8027, decode.d6.loss_mask: 0.7562, decode.d6.loss_dice: 1.2170, decode.d7.loss_cls: 0.7994, decode.d7.loss_mask: 0.7553, decode.d7.loss_dice: 1.2166, decode.d8.loss_cls: 0.7954, decode.d8.loss_mask: 0.7556, decode.d8.loss_dice: 1.2160, loss: 30.0722 2022-09-13 04:34:25,317 - mmseg - INFO - Iter [45750/80000] lr: 6.147e-07, eta: 18:22:57, time: 1.867, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7847, decode.loss_mask: 0.7659, decode.loss_dice: 1.1723, decode.d0.loss_cls: 2.5729, decode.d0.loss_mask: 0.7849, decode.d0.loss_dice: 1.3575, decode.d1.loss_cls: 0.8495, decode.d1.loss_mask: 0.8002, decode.d1.loss_dice: 1.2693, decode.d2.loss_cls: 0.8130, decode.d2.loss_mask: 0.7850, decode.d2.loss_dice: 1.2134, decode.d3.loss_cls: 0.7962, decode.d3.loss_mask: 0.7764, decode.d3.loss_dice: 1.2039, decode.d4.loss_cls: 0.7893, decode.d4.loss_mask: 0.7758, decode.d4.loss_dice: 1.2016, decode.d5.loss_cls: 0.7955, decode.d5.loss_mask: 0.7735, decode.d5.loss_dice: 1.1889, decode.d6.loss_cls: 0.7928, decode.d6.loss_mask: 0.7667, decode.d6.loss_dice: 1.1807, decode.d7.loss_cls: 0.7827, decode.d7.loss_mask: 0.7696, decode.d7.loss_dice: 1.1786, decode.d8.loss_cls: 0.7772, decode.d8.loss_mask: 0.7687, decode.d8.loss_dice: 1.1826, loss: 29.6694 2022-09-13 04:35:56,819 - mmseg - INFO - Iter [45800/80000] lr: 6.138e-07, eta: 18:21:16, time: 1.830, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7809, decode.loss_mask: 0.7656, decode.loss_dice: 1.1725, decode.d0.loss_cls: 2.5500, decode.d0.loss_mask: 0.7749, decode.d0.loss_dice: 1.3511, decode.d1.loss_cls: 0.8593, decode.d1.loss_mask: 0.7986, decode.d1.loss_dice: 1.2575, decode.d2.loss_cls: 0.8035, decode.d2.loss_mask: 0.7873, decode.d2.loss_dice: 1.2123, decode.d3.loss_cls: 0.7910, decode.d3.loss_mask: 0.7821, decode.d3.loss_dice: 1.1939, decode.d4.loss_cls: 0.7839, decode.d4.loss_mask: 0.7749, decode.d4.loss_dice: 1.1917, decode.d5.loss_cls: 0.7733, decode.d5.loss_mask: 0.7708, decode.d5.loss_dice: 1.1840, decode.d6.loss_cls: 0.7792, decode.d6.loss_mask: 0.7739, decode.d6.loss_dice: 1.1704, decode.d7.loss_cls: 0.7807, decode.d7.loss_mask: 0.7668, decode.d7.loss_dice: 1.1684, decode.d8.loss_cls: 0.7736, decode.d8.loss_mask: 0.7677, decode.d8.loss_dice: 1.1726, loss: 29.5127 2022-09-13 04:37:29,300 - mmseg - INFO - Iter [45850/80000] lr: 6.129e-07, eta: 18:19:37, time: 1.850, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7897, decode.loss_mask: 0.7571, decode.loss_dice: 1.1488, decode.d0.loss_cls: 2.5776, decode.d0.loss_mask: 0.7861, decode.d0.loss_dice: 1.3506, decode.d1.loss_cls: 0.8644, decode.d1.loss_mask: 0.7917, decode.d1.loss_dice: 1.2499, decode.d2.loss_cls: 0.8183, decode.d2.loss_mask: 0.7753, decode.d2.loss_dice: 1.1960, decode.d3.loss_cls: 0.8045, decode.d3.loss_mask: 0.7666, decode.d3.loss_dice: 1.1684, decode.d4.loss_cls: 0.7991, decode.d4.loss_mask: 0.7643, decode.d4.loss_dice: 1.1709, decode.d5.loss_cls: 0.7889, decode.d5.loss_mask: 0.7621, decode.d5.loss_dice: 1.1641, decode.d6.loss_cls: 0.7887, decode.d6.loss_mask: 0.7605, decode.d6.loss_dice: 1.1580, decode.d7.loss_cls: 0.7877, decode.d7.loss_mask: 0.7597, decode.d7.loss_dice: 1.1528, decode.d8.loss_cls: 0.7882, decode.d8.loss_mask: 0.7608, decode.d8.loss_dice: 1.1500, loss: 29.4006 2022-09-13 04:39:01,613 - mmseg - INFO - Iter [45900/80000] lr: 6.120e-07, eta: 18:17:57, time: 1.846, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7842, decode.loss_mask: 0.7569, decode.loss_dice: 1.1787, decode.d0.loss_cls: 2.5380, decode.d0.loss_mask: 0.7726, decode.d0.loss_dice: 1.3620, decode.d1.loss_cls: 0.8624, decode.d1.loss_mask: 0.7895, decode.d1.loss_dice: 1.2660, decode.d2.loss_cls: 0.8148, decode.d2.loss_mask: 0.7707, decode.d2.loss_dice: 1.2140, decode.d3.loss_cls: 0.8022, decode.d3.loss_mask: 0.7640, decode.d3.loss_dice: 1.1920, decode.d4.loss_cls: 0.7965, decode.d4.loss_mask: 0.7612, decode.d4.loss_dice: 1.1939, decode.d5.loss_cls: 0.7933, decode.d5.loss_mask: 0.7573, decode.d5.loss_dice: 1.1879, decode.d6.loss_cls: 0.7919, decode.d6.loss_mask: 0.7588, decode.d6.loss_dice: 1.1796, decode.d7.loss_cls: 0.7899, decode.d7.loss_mask: 0.7574, decode.d7.loss_dice: 1.1785, decode.d8.loss_cls: 0.7801, decode.d8.loss_mask: 0.7580, decode.d8.loss_dice: 1.1775, loss: 29.5298 2022-09-13 04:40:34,746 - mmseg - INFO - Iter [45950/80000] lr: 6.111e-07, eta: 18:16:18, time: 1.863, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7558, decode.loss_mask: 0.7739, decode.loss_dice: 1.1216, decode.d0.loss_cls: 2.4995, decode.d0.loss_mask: 0.7894, decode.d0.loss_dice: 1.3084, decode.d1.loss_cls: 0.8349, decode.d1.loss_mask: 0.7970, decode.d1.loss_dice: 1.2086, decode.d2.loss_cls: 0.7891, decode.d2.loss_mask: 0.7861, decode.d2.loss_dice: 1.1592, decode.d3.loss_cls: 0.7798, decode.d3.loss_mask: 0.7834, decode.d3.loss_dice: 1.1434, decode.d4.loss_cls: 0.7700, decode.d4.loss_mask: 0.7819, decode.d4.loss_dice: 1.1365, decode.d5.loss_cls: 0.7701, decode.d5.loss_mask: 0.7755, decode.d5.loss_dice: 1.1331, decode.d6.loss_cls: 0.7626, decode.d6.loss_mask: 0.7708, decode.d6.loss_dice: 1.1267, decode.d7.loss_cls: 0.7603, decode.d7.loss_mask: 0.7736, decode.d7.loss_dice: 1.1243, decode.d8.loss_cls: 0.7545, decode.d8.loss_mask: 0.7731, decode.d8.loss_dice: 1.1247, loss: 28.8679 2022-09-13 04:42:07,145 - mmseg - INFO - Saving checkpoint at 46000 iterations 2022-09-13 04:42:40,312 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 04:42:40,320 - mmseg - INFO - Iter [46000/80000] lr: 6.102e-07, eta: 18:15:02, time: 2.509, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7721, decode.loss_mask: 0.7613, decode.loss_dice: 1.1918, decode.d0.loss_cls: 2.5681, decode.d0.loss_mask: 0.7693, decode.d0.loss_dice: 1.3741, decode.d1.loss_cls: 0.8479, decode.d1.loss_mask: 0.7912, decode.d1.loss_dice: 1.2794, decode.d2.loss_cls: 0.7933, decode.d2.loss_mask: 0.7773, decode.d2.loss_dice: 1.2344, decode.d3.loss_cls: 0.7850, decode.d3.loss_mask: 0.7696, decode.d3.loss_dice: 1.2097, decode.d4.loss_cls: 0.7821, decode.d4.loss_mask: 0.7672, decode.d4.loss_dice: 1.2069, decode.d5.loss_cls: 0.7808, decode.d5.loss_mask: 0.7649, decode.d5.loss_dice: 1.1994, decode.d6.loss_cls: 0.7754, decode.d6.loss_mask: 0.7602, decode.d6.loss_dice: 1.1928, decode.d7.loss_cls: 0.7742, decode.d7.loss_mask: 0.7581, decode.d7.loss_dice: 1.1871, decode.d8.loss_cls: 0.7692, decode.d8.loss_mask: 0.7602, decode.d8.loss_dice: 1.1900, loss: 29.5930 2022-09-13 04:44:13,054 - mmseg - INFO - Iter [46050/80000] lr: 6.093e-07, eta: 18:13:23, time: 1.857, data_time: 0.017, memory: 42763, decode.loss_cls: 0.7849, decode.loss_mask: 0.7355, decode.loss_dice: 1.1687, decode.d0.loss_cls: 2.6086, decode.d0.loss_mask: 0.7482, decode.d0.loss_dice: 1.3751, decode.d1.loss_cls: 0.8674, decode.d1.loss_mask: 0.7646, decode.d1.loss_dice: 1.2746, decode.d2.loss_cls: 0.8069, decode.d2.loss_mask: 0.7578, decode.d2.loss_dice: 1.2262, decode.d3.loss_cls: 0.7958, decode.d3.loss_mask: 0.7472, decode.d3.loss_dice: 1.1932, decode.d4.loss_cls: 0.7885, decode.d4.loss_mask: 0.7479, decode.d4.loss_dice: 1.1968, decode.d5.loss_cls: 0.7915, decode.d5.loss_mask: 0.7366, decode.d5.loss_dice: 1.1811, decode.d6.loss_cls: 0.7903, decode.d6.loss_mask: 0.7333, decode.d6.loss_dice: 1.1713, decode.d7.loss_cls: 0.7889, decode.d7.loss_mask: 0.7360, decode.d7.loss_dice: 1.1720, decode.d8.loss_cls: 0.7811, decode.d8.loss_mask: 0.7349, decode.d8.loss_dice: 1.1726, loss: 29.3775 2022-09-13 04:45:46,699 - mmseg - INFO - Iter [46100/80000] lr: 6.084e-07, eta: 18:11:44, time: 1.873, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8157, decode.loss_mask: 0.7473, decode.loss_dice: 1.2071, decode.d0.loss_cls: 2.5830, decode.d0.loss_mask: 0.7615, decode.d0.loss_dice: 1.3946, decode.d1.loss_cls: 0.8984, decode.d1.loss_mask: 0.7752, decode.d1.loss_dice: 1.2963, decode.d2.loss_cls: 0.8344, decode.d2.loss_mask: 0.7626, decode.d2.loss_dice: 1.2552, decode.d3.loss_cls: 0.8265, decode.d3.loss_mask: 0.7571, decode.d3.loss_dice: 1.2208, decode.d4.loss_cls: 0.8167, decode.d4.loss_mask: 0.7545, decode.d4.loss_dice: 1.2210, decode.d5.loss_cls: 0.8186, decode.d5.loss_mask: 0.7525, decode.d5.loss_dice: 1.2161, decode.d6.loss_cls: 0.8191, decode.d6.loss_mask: 0.7487, decode.d6.loss_dice: 1.2009, decode.d7.loss_cls: 0.8139, decode.d7.loss_mask: 0.7503, decode.d7.loss_dice: 1.2039, decode.d8.loss_cls: 0.8112, decode.d8.loss_mask: 0.7507, decode.d8.loss_dice: 1.2019, loss: 30.0159 2022-09-13 04:47:19,556 - mmseg - INFO - Iter [46150/80000] lr: 6.075e-07, eta: 18:10:05, time: 1.857, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7855, decode.loss_mask: 0.7725, decode.loss_dice: 1.1991, decode.d0.loss_cls: 2.5212, decode.d0.loss_mask: 0.7925, decode.d0.loss_dice: 1.3901, decode.d1.loss_cls: 0.8558, decode.d1.loss_mask: 0.8091, decode.d1.loss_dice: 1.2999, decode.d2.loss_cls: 0.8091, decode.d2.loss_mask: 0.7878, decode.d2.loss_dice: 1.2548, decode.d3.loss_cls: 0.8049, decode.d3.loss_mask: 0.7824, decode.d3.loss_dice: 1.2250, decode.d4.loss_cls: 0.7944, decode.d4.loss_mask: 0.7775, decode.d4.loss_dice: 1.2264, decode.d5.loss_cls: 0.7904, decode.d5.loss_mask: 0.7795, decode.d5.loss_dice: 1.2131, decode.d6.loss_cls: 0.7900, decode.d6.loss_mask: 0.7748, decode.d6.loss_dice: 1.2073, decode.d7.loss_cls: 0.7838, decode.d7.loss_mask: 0.7763, decode.d7.loss_dice: 1.2019, decode.d8.loss_cls: 0.7835, decode.d8.loss_mask: 0.7739, decode.d8.loss_dice: 1.2020, loss: 29.9643 2022-09-13 04:48:52,637 - mmseg - INFO - Iter [46200/80000] lr: 6.066e-07, eta: 18:08:26, time: 1.861, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7701, decode.loss_mask: 0.7594, decode.loss_dice: 1.1710, decode.d0.loss_cls: 2.5127, decode.d0.loss_mask: 0.7654, decode.d0.loss_dice: 1.3606, decode.d1.loss_cls: 0.8448, decode.d1.loss_mask: 0.7887, decode.d1.loss_dice: 1.2720, decode.d2.loss_cls: 0.7957, decode.d2.loss_mask: 0.7698, decode.d2.loss_dice: 1.2189, decode.d3.loss_cls: 0.7858, decode.d3.loss_mask: 0.7636, decode.d3.loss_dice: 1.1937, decode.d4.loss_cls: 0.7794, decode.d4.loss_mask: 0.7666, decode.d4.loss_dice: 1.1929, decode.d5.loss_cls: 0.7782, decode.d5.loss_mask: 0.7613, decode.d5.loss_dice: 1.1853, decode.d6.loss_cls: 0.7710, decode.d6.loss_mask: 0.7618, decode.d6.loss_dice: 1.1790, decode.d7.loss_cls: 0.7757, decode.d7.loss_mask: 0.7592, decode.d7.loss_dice: 1.1724, decode.d8.loss_cls: 0.7643, decode.d8.loss_mask: 0.7624, decode.d8.loss_dice: 1.1808, loss: 29.3624 2022-09-13 04:50:25,249 - mmseg - INFO - Iter [46250/80000] lr: 6.057e-07, eta: 18:06:46, time: 1.852, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7716, decode.loss_mask: 0.7557, decode.loss_dice: 1.1525, decode.d0.loss_cls: 2.5127, decode.d0.loss_mask: 0.7739, decode.d0.loss_dice: 1.3315, decode.d1.loss_cls: 0.8356, decode.d1.loss_mask: 0.7911, decode.d1.loss_dice: 1.2454, decode.d2.loss_cls: 0.7890, decode.d2.loss_mask: 0.7733, decode.d2.loss_dice: 1.2056, decode.d3.loss_cls: 0.7734, decode.d3.loss_mask: 0.7711, decode.d3.loss_dice: 1.1781, decode.d4.loss_cls: 0.7771, decode.d4.loss_mask: 0.7688, decode.d4.loss_dice: 1.1702, decode.d5.loss_cls: 0.7727, decode.d5.loss_mask: 0.7619, decode.d5.loss_dice: 1.1610, decode.d6.loss_cls: 0.7741, decode.d6.loss_mask: 0.7556, decode.d6.loss_dice: 1.1534, decode.d7.loss_cls: 0.7663, decode.d7.loss_mask: 0.7602, decode.d7.loss_dice: 1.1561, decode.d8.loss_cls: 0.7669, decode.d8.loss_mask: 0.7606, decode.d8.loss_dice: 1.1584, loss: 29.1237 2022-09-13 04:51:58,875 - mmseg - INFO - Iter [46300/80000] lr: 6.048e-07, eta: 18:05:07, time: 1.873, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7708, decode.loss_mask: 0.7432, decode.loss_dice: 1.1777, decode.d0.loss_cls: 2.5119, decode.d0.loss_mask: 0.7521, decode.d0.loss_dice: 1.3691, decode.d1.loss_cls: 0.8678, decode.d1.loss_mask: 0.7659, decode.d1.loss_dice: 1.2687, decode.d2.loss_cls: 0.7970, decode.d2.loss_mask: 0.7517, decode.d2.loss_dice: 1.2218, decode.d3.loss_cls: 0.7872, decode.d3.loss_mask: 0.7455, decode.d3.loss_dice: 1.1974, decode.d4.loss_cls: 0.7906, decode.d4.loss_mask: 0.7430, decode.d4.loss_dice: 1.1921, decode.d5.loss_cls: 0.7803, decode.d5.loss_mask: 0.7462, decode.d5.loss_dice: 1.1886, decode.d6.loss_cls: 0.7733, decode.d6.loss_mask: 0.7457, decode.d6.loss_dice: 1.1783, decode.d7.loss_cls: 0.7742, decode.d7.loss_mask: 0.7419, decode.d7.loss_dice: 1.1812, decode.d8.loss_cls: 0.7656, decode.d8.loss_mask: 0.7413, decode.d8.loss_dice: 1.1757, loss: 29.2459 2022-09-13 04:53:30,527 - mmseg - INFO - Iter [46350/80000] lr: 6.039e-07, eta: 18:03:27, time: 1.833, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7614, decode.loss_mask: 0.7690, decode.loss_dice: 1.1672, decode.d0.loss_cls: 2.5225, decode.d0.loss_mask: 0.7805, decode.d0.loss_dice: 1.3592, decode.d1.loss_cls: 0.8591, decode.d1.loss_mask: 0.8049, decode.d1.loss_dice: 1.2671, decode.d2.loss_cls: 0.7899, decode.d2.loss_mask: 0.7950, decode.d2.loss_dice: 1.2184, decode.d3.loss_cls: 0.7705, decode.d3.loss_mask: 0.7822, decode.d3.loss_dice: 1.1915, decode.d4.loss_cls: 0.7685, decode.d4.loss_mask: 0.7755, decode.d4.loss_dice: 1.1857, decode.d5.loss_cls: 0.7662, decode.d5.loss_mask: 0.7724, decode.d5.loss_dice: 1.1721, decode.d6.loss_cls: 0.7678, decode.d6.loss_mask: 0.7688, decode.d6.loss_dice: 1.1664, decode.d7.loss_cls: 0.7637, decode.d7.loss_mask: 0.7738, decode.d7.loss_dice: 1.1693, decode.d8.loss_cls: 0.7641, decode.d8.loss_mask: 0.7723, decode.d8.loss_dice: 1.1731, loss: 29.3982 2022-09-13 04:55:03,057 - mmseg - INFO - Iter [46400/80000] lr: 6.031e-07, eta: 18:01:48, time: 1.850, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7813, decode.loss_mask: 0.7552, decode.loss_dice: 1.1674, decode.d0.loss_cls: 2.4916, decode.d0.loss_mask: 0.7642, decode.d0.loss_dice: 1.3550, decode.d1.loss_cls: 0.8557, decode.d1.loss_mask: 0.7837, decode.d1.loss_dice: 1.2726, decode.d2.loss_cls: 0.8100, decode.d2.loss_mask: 0.7695, decode.d2.loss_dice: 1.2115, decode.d3.loss_cls: 0.7906, decode.d3.loss_mask: 0.7634, decode.d3.loss_dice: 1.2003, decode.d4.loss_cls: 0.7831, decode.d4.loss_mask: 0.7622, decode.d4.loss_dice: 1.2038, decode.d5.loss_cls: 0.7859, decode.d5.loss_mask: 0.7603, decode.d5.loss_dice: 1.1808, decode.d6.loss_cls: 0.7868, decode.d6.loss_mask: 0.7566, decode.d6.loss_dice: 1.1787, decode.d7.loss_cls: 0.7764, decode.d7.loss_mask: 0.7569, decode.d7.loss_dice: 1.1760, decode.d8.loss_cls: 0.7748, decode.d8.loss_mask: 0.7568, decode.d8.loss_dice: 1.1756, loss: 29.3868 2022-09-13 04:56:34,756 - mmseg - INFO - Iter [46450/80000] lr: 6.022e-07, eta: 18:00:07, time: 1.835, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7571, decode.loss_mask: 0.7719, decode.loss_dice: 1.1674, decode.d0.loss_cls: 2.5482, decode.d0.loss_mask: 0.7753, decode.d0.loss_dice: 1.3549, decode.d1.loss_cls: 0.8436, decode.d1.loss_mask: 0.7991, decode.d1.loss_dice: 1.2632, decode.d2.loss_cls: 0.7873, decode.d2.loss_mask: 0.7870, decode.d2.loss_dice: 1.2195, decode.d3.loss_cls: 0.7777, decode.d3.loss_mask: 0.7771, decode.d3.loss_dice: 1.1904, decode.d4.loss_cls: 0.7734, decode.d4.loss_mask: 0.7737, decode.d4.loss_dice: 1.1890, decode.d5.loss_cls: 0.7694, decode.d5.loss_mask: 0.7746, decode.d5.loss_dice: 1.1768, decode.d6.loss_cls: 0.7668, decode.d6.loss_mask: 0.7686, decode.d6.loss_dice: 1.1646, decode.d7.loss_cls: 0.7649, decode.d7.loss_mask: 0.7699, decode.d7.loss_dice: 1.1623, decode.d8.loss_cls: 0.7628, decode.d8.loss_mask: 0.7699, decode.d8.loss_dice: 1.1624, loss: 29.3689 2022-09-13 04:58:06,897 - mmseg - INFO - Iter [46500/80000] lr: 6.013e-07, eta: 17:58:28, time: 1.843, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7544, decode.loss_mask: 0.7642, decode.loss_dice: 1.1602, decode.d0.loss_cls: 2.5189, decode.d0.loss_mask: 0.7778, decode.d0.loss_dice: 1.3272, decode.d1.loss_cls: 0.8397, decode.d1.loss_mask: 0.7895, decode.d1.loss_dice: 1.2334, decode.d2.loss_cls: 0.7927, decode.d2.loss_mask: 0.7727, decode.d2.loss_dice: 1.1937, decode.d3.loss_cls: 0.7799, decode.d3.loss_mask: 0.7636, decode.d3.loss_dice: 1.1675, decode.d4.loss_cls: 0.7650, decode.d4.loss_mask: 0.7627, decode.d4.loss_dice: 1.1760, decode.d5.loss_cls: 0.7593, decode.d5.loss_mask: 0.7633, decode.d5.loss_dice: 1.1587, decode.d6.loss_cls: 0.7591, decode.d6.loss_mask: 0.7618, decode.d6.loss_dice: 1.1542, decode.d7.loss_cls: 0.7507, decode.d7.loss_mask: 0.7643, decode.d7.loss_dice: 1.1607, decode.d8.loss_cls: 0.7516, decode.d8.loss_mask: 0.7643, decode.d8.loss_dice: 1.1590, loss: 29.0463 2022-09-13 04:59:38,735 - mmseg - INFO - Iter [46550/80000] lr: 6.004e-07, eta: 17:56:48, time: 1.837, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7565, decode.loss_mask: 0.7727, decode.loss_dice: 1.1714, decode.d0.loss_cls: 2.4994, decode.d0.loss_mask: 0.7795, decode.d0.loss_dice: 1.3515, decode.d1.loss_cls: 0.8348, decode.d1.loss_mask: 0.7954, decode.d1.loss_dice: 1.2628, decode.d2.loss_cls: 0.7866, decode.d2.loss_mask: 0.7849, decode.d2.loss_dice: 1.2107, decode.d3.loss_cls: 0.7743, decode.d3.loss_mask: 0.7782, decode.d3.loss_dice: 1.1984, decode.d4.loss_cls: 0.7697, decode.d4.loss_mask: 0.7781, decode.d4.loss_dice: 1.1929, decode.d5.loss_cls: 0.7644, decode.d5.loss_mask: 0.7712, decode.d5.loss_dice: 1.1845, decode.d6.loss_cls: 0.7607, decode.d6.loss_mask: 0.7673, decode.d6.loss_dice: 1.1739, decode.d7.loss_cls: 0.7618, decode.d7.loss_mask: 0.7724, decode.d7.loss_dice: 1.1726, decode.d8.loss_cls: 0.7561, decode.d8.loss_mask: 0.7730, decode.d8.loss_dice: 1.1718, loss: 29.3278 2022-09-13 05:01:11,650 - mmseg - INFO - Iter [46600/80000] lr: 5.995e-07, eta: 17:55:08, time: 1.858, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7740, decode.loss_mask: 0.7448, decode.loss_dice: 1.1758, decode.d0.loss_cls: 2.5458, decode.d0.loss_mask: 0.7623, decode.d0.loss_dice: 1.3560, decode.d1.loss_cls: 0.8412, decode.d1.loss_mask: 0.7789, decode.d1.loss_dice: 1.2664, decode.d2.loss_cls: 0.7970, decode.d2.loss_mask: 0.7585, decode.d2.loss_dice: 1.2115, decode.d3.loss_cls: 0.7884, decode.d3.loss_mask: 0.7576, decode.d3.loss_dice: 1.1895, decode.d4.loss_cls: 0.7871, decode.d4.loss_mask: 0.7518, decode.d4.loss_dice: 1.1856, decode.d5.loss_cls: 0.7717, decode.d5.loss_mask: 0.7530, decode.d5.loss_dice: 1.1845, decode.d6.loss_cls: 0.7779, decode.d6.loss_mask: 0.7480, decode.d6.loss_dice: 1.1690, decode.d7.loss_cls: 0.7727, decode.d7.loss_mask: 0.7447, decode.d7.loss_dice: 1.1681, decode.d8.loss_cls: 0.7695, decode.d8.loss_mask: 0.7455, decode.d8.loss_dice: 1.1772, loss: 29.2541 2022-09-13 05:02:45,370 - mmseg - INFO - Iter [46650/80000] lr: 5.986e-07, eta: 17:53:30, time: 1.870, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7575, decode.loss_mask: 0.7846, decode.loss_dice: 1.2017, decode.d0.loss_cls: 2.5463, decode.d0.loss_mask: 0.8028, decode.d0.loss_dice: 1.3871, decode.d1.loss_cls: 0.8416, decode.d1.loss_mask: 0.8155, decode.d1.loss_dice: 1.2923, decode.d2.loss_cls: 0.7918, decode.d2.loss_mask: 0.8009, decode.d2.loss_dice: 1.2364, decode.d3.loss_cls: 0.7773, decode.d3.loss_mask: 0.7903, decode.d3.loss_dice: 1.2196, decode.d4.loss_cls: 0.7654, decode.d4.loss_mask: 0.7912, decode.d4.loss_dice: 1.2134, decode.d5.loss_cls: 0.7636, decode.d5.loss_mask: 0.7890, decode.d5.loss_dice: 1.2078, decode.d6.loss_cls: 0.7613, decode.d6.loss_mask: 0.7906, decode.d6.loss_dice: 1.2000, decode.d7.loss_cls: 0.7565, decode.d7.loss_mask: 0.7850, decode.d7.loss_dice: 1.1969, decode.d8.loss_cls: 0.7566, decode.d8.loss_mask: 0.7866, decode.d8.loss_dice: 1.2035, loss: 29.8132 2022-09-13 05:04:17,676 - mmseg - INFO - Iter [46700/80000] lr: 5.977e-07, eta: 17:51:50, time: 1.850, data_time: 0.017, memory: 42763, decode.loss_cls: 0.7581, decode.loss_mask: 0.7535, decode.loss_dice: 1.1642, decode.d0.loss_cls: 2.5022, decode.d0.loss_mask: 0.7699, decode.d0.loss_dice: 1.3508, decode.d1.loss_cls: 0.8362, decode.d1.loss_mask: 0.7872, decode.d1.loss_dice: 1.2553, decode.d2.loss_cls: 0.7830, decode.d2.loss_mask: 0.7697, decode.d2.loss_dice: 1.2068, decode.d3.loss_cls: 0.7765, decode.d3.loss_mask: 0.7642, decode.d3.loss_dice: 1.1822, decode.d4.loss_cls: 0.7609, decode.d4.loss_mask: 0.7625, decode.d4.loss_dice: 1.1851, decode.d5.loss_cls: 0.7599, decode.d5.loss_mask: 0.7594, decode.d5.loss_dice: 1.1748, decode.d6.loss_cls: 0.7542, decode.d6.loss_mask: 0.7568, decode.d6.loss_dice: 1.1666, decode.d7.loss_cls: 0.7553, decode.d7.loss_mask: 0.7561, decode.d7.loss_dice: 1.1694, decode.d8.loss_cls: 0.7545, decode.d8.loss_mask: 0.7550, decode.d8.loss_dice: 1.1666, loss: 29.0969 2022-09-13 05:05:50,045 - mmseg - INFO - Iter [46750/80000] lr: 5.968e-07, eta: 17:50:11, time: 1.847, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7586, decode.loss_mask: 0.7553, decode.loss_dice: 1.1952, decode.d0.loss_cls: 2.5075, decode.d0.loss_mask: 0.7717, decode.d0.loss_dice: 1.3800, decode.d1.loss_cls: 0.8451, decode.d1.loss_mask: 0.7874, decode.d1.loss_dice: 1.2760, decode.d2.loss_cls: 0.7892, decode.d2.loss_mask: 0.7709, decode.d2.loss_dice: 1.2262, decode.d3.loss_cls: 0.7724, decode.d3.loss_mask: 0.7621, decode.d3.loss_dice: 1.2039, decode.d4.loss_cls: 0.7635, decode.d4.loss_mask: 0.7607, decode.d4.loss_dice: 1.2043, decode.d5.loss_cls: 0.7666, decode.d5.loss_mask: 0.7567, decode.d5.loss_dice: 1.1955, decode.d6.loss_cls: 0.7572, decode.d6.loss_mask: 0.7570, decode.d6.loss_dice: 1.1859, decode.d7.loss_cls: 0.7546, decode.d7.loss_mask: 0.7557, decode.d7.loss_dice: 1.1835, decode.d8.loss_cls: 0.7543, decode.d8.loss_mask: 0.7568, decode.d8.loss_dice: 1.1891, loss: 29.3430 2022-09-13 05:07:22,622 - mmseg - INFO - Iter [46800/80000] lr: 5.959e-07, eta: 17:48:31, time: 1.851, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8111, decode.loss_mask: 0.7709, decode.loss_dice: 1.2130, decode.d0.loss_cls: 2.5913, decode.d0.loss_mask: 0.7900, decode.d0.loss_dice: 1.4238, decode.d1.loss_cls: 0.8859, decode.d1.loss_mask: 0.8075, decode.d1.loss_dice: 1.3048, decode.d2.loss_cls: 0.8353, decode.d2.loss_mask: 0.7885, decode.d2.loss_dice: 1.2570, decode.d3.loss_cls: 0.8180, decode.d3.loss_mask: 0.7861, decode.d3.loss_dice: 1.2356, decode.d4.loss_cls: 0.8160, decode.d4.loss_mask: 0.7770, decode.d4.loss_dice: 1.2304, decode.d5.loss_cls: 0.8079, decode.d5.loss_mask: 0.7758, decode.d5.loss_dice: 1.2256, decode.d6.loss_cls: 0.8093, decode.d6.loss_mask: 0.7669, decode.d6.loss_dice: 1.2097, decode.d7.loss_cls: 0.8018, decode.d7.loss_mask: 0.7712, decode.d7.loss_dice: 1.2113, decode.d8.loss_cls: 0.7996, decode.d8.loss_mask: 0.7722, decode.d8.loss_dice: 1.2136, loss: 30.3070 2022-09-13 05:08:56,123 - mmseg - INFO - Iter [46850/80000] lr: 5.950e-07, eta: 17:46:53, time: 1.870, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7154, decode.loss_mask: 0.7747, decode.loss_dice: 1.1726, decode.d0.loss_cls: 2.4395, decode.d0.loss_mask: 0.7887, decode.d0.loss_dice: 1.3313, decode.d1.loss_cls: 0.7861, decode.d1.loss_mask: 0.8130, decode.d1.loss_dice: 1.2590, decode.d2.loss_cls: 0.7472, decode.d2.loss_mask: 0.7945, decode.d2.loss_dice: 1.2099, decode.d3.loss_cls: 0.7340, decode.d3.loss_mask: 0.7914, decode.d3.loss_dice: 1.1945, decode.d4.loss_cls: 0.7290, decode.d4.loss_mask: 0.7857, decode.d4.loss_dice: 1.1851, decode.d5.loss_cls: 0.7284, decode.d5.loss_mask: 0.7741, decode.d5.loss_dice: 1.1809, decode.d6.loss_cls: 0.7241, decode.d6.loss_mask: 0.7769, decode.d6.loss_dice: 1.1714, decode.d7.loss_cls: 0.7149, decode.d7.loss_mask: 0.7780, decode.d7.loss_dice: 1.1658, decode.d8.loss_cls: 0.7186, decode.d8.loss_mask: 0.7772, decode.d8.loss_dice: 1.1736, loss: 28.9355 2022-09-13 05:10:29,551 - mmseg - INFO - Iter [46900/80000] lr: 5.941e-07, eta: 17:45:14, time: 1.869, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7445, decode.loss_mask: 0.7771, decode.loss_dice: 1.1861, decode.d0.loss_cls: 2.5327, decode.d0.loss_mask: 0.7924, decode.d0.loss_dice: 1.3630, decode.d1.loss_cls: 0.8136, decode.d1.loss_mask: 0.8085, decode.d1.loss_dice: 1.2752, decode.d2.loss_cls: 0.7654, decode.d2.loss_mask: 0.7872, decode.d2.loss_dice: 1.2280, decode.d3.loss_cls: 0.7584, decode.d3.loss_mask: 0.7772, decode.d3.loss_dice: 1.2110, decode.d4.loss_cls: 0.7548, decode.d4.loss_mask: 0.7790, decode.d4.loss_dice: 1.2032, decode.d5.loss_cls: 0.7444, decode.d5.loss_mask: 0.7827, decode.d5.loss_dice: 1.1911, decode.d6.loss_cls: 0.7470, decode.d6.loss_mask: 0.7780, decode.d6.loss_dice: 1.1903, decode.d7.loss_cls: 0.7409, decode.d7.loss_mask: 0.7803, decode.d7.loss_dice: 1.1861, decode.d8.loss_cls: 0.7426, decode.d8.loss_mask: 0.7752, decode.d8.loss_dice: 1.1818, loss: 29.3974 2022-09-13 05:12:02,110 - mmseg - INFO - Iter [46950/80000] lr: 5.932e-07, eta: 17:43:35, time: 1.851, data_time: 0.013, memory: 42763, decode.loss_cls: 0.8074, decode.loss_mask: 0.7864, decode.loss_dice: 1.1786, decode.d0.loss_cls: 2.5401, decode.d0.loss_mask: 0.8007, decode.d0.loss_dice: 1.3660, decode.d1.loss_cls: 0.8851, decode.d1.loss_mask: 0.8173, decode.d1.loss_dice: 1.2624, decode.d2.loss_cls: 0.8371, decode.d2.loss_mask: 0.8069, decode.d2.loss_dice: 1.2255, decode.d3.loss_cls: 0.8161, decode.d3.loss_mask: 0.8044, decode.d3.loss_dice: 1.1989, decode.d4.loss_cls: 0.8206, decode.d4.loss_mask: 0.7918, decode.d4.loss_dice: 1.1932, decode.d5.loss_cls: 0.8175, decode.d5.loss_mask: 0.7881, decode.d5.loss_dice: 1.1863, decode.d6.loss_cls: 0.8126, decode.d6.loss_mask: 0.7852, decode.d6.loss_dice: 1.1822, decode.d7.loss_cls: 0.8058, decode.d7.loss_mask: 0.7868, decode.d7.loss_dice: 1.1839, decode.d8.loss_cls: 0.8098, decode.d8.loss_mask: 0.7857, decode.d8.loss_dice: 1.1871, loss: 30.0695 2022-09-13 05:13:34,838 - mmseg - INFO - Saving checkpoint at 47000 iterations 2022-09-13 05:14:09,864 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 05:14:09,871 - mmseg - INFO - Iter [47000/80000] lr: 5.923e-07, eta: 17:42:20, time: 2.553, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7946, decode.loss_mask: 0.7769, decode.loss_dice: 1.1857, decode.d0.loss_cls: 2.6019, decode.d0.loss_mask: 0.7976, decode.d0.loss_dice: 1.3867, decode.d1.loss_cls: 0.8732, decode.d1.loss_mask: 0.8079, decode.d1.loss_dice: 1.2751, decode.d2.loss_cls: 0.8223, decode.d2.loss_mask: 0.7931, decode.d2.loss_dice: 1.2242, decode.d3.loss_cls: 0.8009, decode.d3.loss_mask: 0.7861, decode.d3.loss_dice: 1.2038, decode.d4.loss_cls: 0.8052, decode.d4.loss_mask: 0.7787, decode.d4.loss_dice: 1.2036, decode.d5.loss_cls: 0.7929, decode.d5.loss_mask: 0.7793, decode.d5.loss_dice: 1.1972, decode.d6.loss_cls: 0.7879, decode.d6.loss_mask: 0.7775, decode.d6.loss_dice: 1.1983, decode.d7.loss_cls: 0.7883, decode.d7.loss_mask: 0.7791, decode.d7.loss_dice: 1.1974, decode.d8.loss_cls: 0.7865, decode.d8.loss_mask: 0.7764, decode.d8.loss_dice: 1.1886, loss: 29.9671 2022-09-13 05:15:43,813 - mmseg - INFO - Iter [47050/80000] lr: 5.914e-07, eta: 17:40:41, time: 1.880, data_time: 0.017, memory: 42763, decode.loss_cls: 0.7638, decode.loss_mask: 0.7578, decode.loss_dice: 1.1856, decode.d0.loss_cls: 2.5452, decode.d0.loss_mask: 0.7765, decode.d0.loss_dice: 1.3829, decode.d1.loss_cls: 0.8545, decode.d1.loss_mask: 0.7896, decode.d1.loss_dice: 1.2773, decode.d2.loss_cls: 0.8018, decode.d2.loss_mask: 0.7755, decode.d2.loss_dice: 1.2240, decode.d3.loss_cls: 0.7851, decode.d3.loss_mask: 0.7675, decode.d3.loss_dice: 1.2075, decode.d4.loss_cls: 0.7759, decode.d4.loss_mask: 0.7621, decode.d4.loss_dice: 1.1980, decode.d5.loss_cls: 0.7689, decode.d5.loss_mask: 0.7644, decode.d5.loss_dice: 1.1903, decode.d6.loss_cls: 0.7675, decode.d6.loss_mask: 0.7608, decode.d6.loss_dice: 1.1873, decode.d7.loss_cls: 0.7664, decode.d7.loss_mask: 0.7587, decode.d7.loss_dice: 1.1830, decode.d8.loss_cls: 0.7653, decode.d8.loss_mask: 0.7586, decode.d8.loss_dice: 1.1846, loss: 29.4864 2022-09-13 05:17:17,027 - mmseg - INFO - Iter [47100/80000] lr: 5.905e-07, eta: 17:39:03, time: 1.866, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7951, decode.loss_mask: 0.7656, decode.loss_dice: 1.2010, decode.d0.loss_cls: 2.5636, decode.d0.loss_mask: 0.7756, decode.d0.loss_dice: 1.3912, decode.d1.loss_cls: 0.8724, decode.d1.loss_mask: 0.8031, decode.d1.loss_dice: 1.2936, decode.d2.loss_cls: 0.8224, decode.d2.loss_mask: 0.7869, decode.d2.loss_dice: 1.2416, decode.d3.loss_cls: 0.8049, decode.d3.loss_mask: 0.7747, decode.d3.loss_dice: 1.2251, decode.d4.loss_cls: 0.8009, decode.d4.loss_mask: 0.7714, decode.d4.loss_dice: 1.2190, decode.d5.loss_cls: 0.7948, decode.d5.loss_mask: 0.7695, decode.d5.loss_dice: 1.2107, decode.d6.loss_cls: 0.7979, decode.d6.loss_mask: 0.7647, decode.d6.loss_dice: 1.2042, decode.d7.loss_cls: 0.7948, decode.d7.loss_mask: 0.7674, decode.d7.loss_dice: 1.2005, decode.d8.loss_cls: 0.7956, decode.d8.loss_mask: 0.7664, decode.d8.loss_dice: 1.2011, loss: 29.9760 2022-09-13 05:18:50,095 - mmseg - INFO - Iter [47150/80000] lr: 5.896e-07, eta: 17:37:24, time: 1.861, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7854, decode.loss_mask: 0.7739, decode.loss_dice: 1.2002, decode.d0.loss_cls: 2.6116, decode.d0.loss_mask: 0.7843, decode.d0.loss_dice: 1.3923, decode.d1.loss_cls: 0.8853, decode.d1.loss_mask: 0.8049, decode.d1.loss_dice: 1.2991, decode.d2.loss_cls: 0.8263, decode.d2.loss_mask: 0.7870, decode.d2.loss_dice: 1.2396, decode.d3.loss_cls: 0.8065, decode.d3.loss_mask: 0.7833, decode.d3.loss_dice: 1.2154, decode.d4.loss_cls: 0.7969, decode.d4.loss_mask: 0.7832, decode.d4.loss_dice: 1.2188, decode.d5.loss_cls: 0.7976, decode.d5.loss_mask: 0.7732, decode.d5.loss_dice: 1.2165, decode.d6.loss_cls: 0.7940, decode.d6.loss_mask: 0.7772, decode.d6.loss_dice: 1.2034, decode.d7.loss_cls: 0.7887, decode.d7.loss_mask: 0.7756, decode.d7.loss_dice: 1.2038, decode.d8.loss_cls: 0.7926, decode.d8.loss_mask: 0.7729, decode.d8.loss_dice: 1.2066, loss: 30.0961 2022-09-13 05:20:23,039 - mmseg - INFO - Iter [47200/80000] lr: 5.887e-07, eta: 17:35:44, time: 1.859, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7575, decode.loss_mask: 0.7499, decode.loss_dice: 1.1579, decode.d0.loss_cls: 2.5069, decode.d0.loss_mask: 0.7592, decode.d0.loss_dice: 1.3472, decode.d1.loss_cls: 0.8472, decode.d1.loss_mask: 0.7776, decode.d1.loss_dice: 1.2537, decode.d2.loss_cls: 0.7853, decode.d2.loss_mask: 0.7701, decode.d2.loss_dice: 1.1988, decode.d3.loss_cls: 0.7796, decode.d3.loss_mask: 0.7596, decode.d3.loss_dice: 1.1718, decode.d4.loss_cls: 0.7722, decode.d4.loss_mask: 0.7551, decode.d4.loss_dice: 1.1743, decode.d5.loss_cls: 0.7672, decode.d5.loss_mask: 0.7499, decode.d5.loss_dice: 1.1618, decode.d6.loss_cls: 0.7686, decode.d6.loss_mask: 0.7504, decode.d6.loss_dice: 1.1540, decode.d7.loss_cls: 0.7672, decode.d7.loss_mask: 0.7467, decode.d7.loss_dice: 1.1551, decode.d8.loss_cls: 0.7582, decode.d8.loss_mask: 0.7475, decode.d8.loss_dice: 1.1543, loss: 29.0049 2022-09-13 05:21:56,367 - mmseg - INFO - Iter [47250/80000] lr: 5.878e-07, eta: 17:34:06, time: 1.867, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7385, decode.loss_mask: 0.7275, decode.loss_dice: 1.1634, decode.d0.loss_cls: 2.5079, decode.d0.loss_mask: 0.7463, decode.d0.loss_dice: 1.3604, decode.d1.loss_cls: 0.8217, decode.d1.loss_mask: 0.7530, decode.d1.loss_dice: 1.2493, decode.d2.loss_cls: 0.7743, decode.d2.loss_mask: 0.7347, decode.d2.loss_dice: 1.1967, decode.d3.loss_cls: 0.7602, decode.d3.loss_mask: 0.7361, decode.d3.loss_dice: 1.1795, decode.d4.loss_cls: 0.7532, decode.d4.loss_mask: 0.7298, decode.d4.loss_dice: 1.1718, decode.d5.loss_cls: 0.7494, decode.d5.loss_mask: 0.7324, decode.d5.loss_dice: 1.1736, decode.d6.loss_cls: 0.7423, decode.d6.loss_mask: 0.7302, decode.d6.loss_dice: 1.1575, decode.d7.loss_cls: 0.7393, decode.d7.loss_mask: 0.7290, decode.d7.loss_dice: 1.1581, decode.d8.loss_cls: 0.7391, decode.d8.loss_mask: 0.7307, decode.d8.loss_dice: 1.1599, loss: 28.6458 2022-09-13 05:23:30,045 - mmseg - INFO - Iter [47300/80000] lr: 5.869e-07, eta: 17:32:27, time: 1.873, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7734, decode.loss_mask: 0.7567, decode.loss_dice: 1.1645, decode.d0.loss_cls: 2.5215, decode.d0.loss_mask: 0.7778, decode.d0.loss_dice: 1.3579, decode.d1.loss_cls: 0.8417, decode.d1.loss_mask: 0.7909, decode.d1.loss_dice: 1.2669, decode.d2.loss_cls: 0.7982, decode.d2.loss_mask: 0.7761, decode.d2.loss_dice: 1.2144, decode.d3.loss_cls: 0.7899, decode.d3.loss_mask: 0.7646, decode.d3.loss_dice: 1.1841, decode.d4.loss_cls: 0.7825, decode.d4.loss_mask: 0.7611, decode.d4.loss_dice: 1.1793, decode.d5.loss_cls: 0.7736, decode.d5.loss_mask: 0.7603, decode.d5.loss_dice: 1.1771, decode.d6.loss_cls: 0.7805, decode.d6.loss_mask: 0.7532, decode.d6.loss_dice: 1.1616, decode.d7.loss_cls: 0.7750, decode.d7.loss_mask: 0.7550, decode.d7.loss_dice: 1.1616, decode.d8.loss_cls: 0.7745, decode.d8.loss_mask: 0.7559, decode.d8.loss_dice: 1.1629, loss: 29.2927 2022-09-13 05:25:03,255 - mmseg - INFO - Iter [47350/80000] lr: 5.860e-07, eta: 17:30:48, time: 1.865, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7845, decode.loss_mask: 0.7340, decode.loss_dice: 1.1735, decode.d0.loss_cls: 2.5680, decode.d0.loss_mask: 0.7439, decode.d0.loss_dice: 1.3546, decode.d1.loss_cls: 0.8571, decode.d1.loss_mask: 0.7593, decode.d1.loss_dice: 1.2734, decode.d2.loss_cls: 0.8102, decode.d2.loss_mask: 0.7462, decode.d2.loss_dice: 1.2096, decode.d3.loss_cls: 0.7957, decode.d3.loss_mask: 0.7405, decode.d3.loss_dice: 1.2009, decode.d4.loss_cls: 0.7848, decode.d4.loss_mask: 0.7426, decode.d4.loss_dice: 1.1999, decode.d5.loss_cls: 0.7819, decode.d5.loss_mask: 0.7386, decode.d5.loss_dice: 1.1880, decode.d6.loss_cls: 0.7889, decode.d6.loss_mask: 0.7367, decode.d6.loss_dice: 1.1817, decode.d7.loss_cls: 0.7847, decode.d7.loss_mask: 0.7380, decode.d7.loss_dice: 1.1767, decode.d8.loss_cls: 0.7831, decode.d8.loss_mask: 0.7316, decode.d8.loss_dice: 1.1804, loss: 29.2890 2022-09-13 05:26:36,382 - mmseg - INFO - Iter [47400/80000] lr: 5.851e-07, eta: 17:29:09, time: 1.862, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7451, decode.loss_mask: 0.7568, decode.loss_dice: 1.1621, decode.d0.loss_cls: 2.5389, decode.d0.loss_mask: 0.7825, decode.d0.loss_dice: 1.3496, decode.d1.loss_cls: 0.8168, decode.d1.loss_mask: 0.8028, decode.d1.loss_dice: 1.2548, decode.d2.loss_cls: 0.7717, decode.d2.loss_mask: 0.7777, decode.d2.loss_dice: 1.2102, decode.d3.loss_cls: 0.7681, decode.d3.loss_mask: 0.7705, decode.d3.loss_dice: 1.1818, decode.d4.loss_cls: 0.7589, decode.d4.loss_mask: 0.7665, decode.d4.loss_dice: 1.1752, decode.d5.loss_cls: 0.7504, decode.d5.loss_mask: 0.7618, decode.d5.loss_dice: 1.1705, decode.d6.loss_cls: 0.7464, decode.d6.loss_mask: 0.7594, decode.d6.loss_dice: 1.1662, decode.d7.loss_cls: 0.7484, decode.d7.loss_mask: 0.7599, decode.d7.loss_dice: 1.1599, decode.d8.loss_cls: 0.7464, decode.d8.loss_mask: 0.7580, decode.d8.loss_dice: 1.1619, loss: 29.0788 2022-09-13 05:28:09,176 - mmseg - INFO - Iter [47450/80000] lr: 5.842e-07, eta: 17:27:30, time: 1.856, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7845, decode.loss_mask: 0.7523, decode.loss_dice: 1.1883, decode.d0.loss_cls: 2.5482, decode.d0.loss_mask: 0.7648, decode.d0.loss_dice: 1.3853, decode.d1.loss_cls: 0.8631, decode.d1.loss_mask: 0.7884, decode.d1.loss_dice: 1.2921, decode.d2.loss_cls: 0.8123, decode.d2.loss_mask: 0.7688, decode.d2.loss_dice: 1.2330, decode.d3.loss_cls: 0.7995, decode.d3.loss_mask: 0.7609, decode.d3.loss_dice: 1.2139, decode.d4.loss_cls: 0.8042, decode.d4.loss_mask: 0.7549, decode.d4.loss_dice: 1.2071, decode.d5.loss_cls: 0.7933, decode.d5.loss_mask: 0.7544, decode.d5.loss_dice: 1.1977, decode.d6.loss_cls: 0.7830, decode.d6.loss_mask: 0.7543, decode.d6.loss_dice: 1.1995, decode.d7.loss_cls: 0.7880, decode.d7.loss_mask: 0.7529, decode.d7.loss_dice: 1.1959, decode.d8.loss_cls: 0.7840, decode.d8.loss_mask: 0.7514, decode.d8.loss_dice: 1.1904, loss: 29.6662 2022-09-13 05:29:41,481 - mmseg - INFO - Iter [47500/80000] lr: 5.833e-07, eta: 17:25:51, time: 1.846, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7545, decode.loss_mask: 0.7730, decode.loss_dice: 1.1778, decode.d0.loss_cls: 2.4855, decode.d0.loss_mask: 0.7801, decode.d0.loss_dice: 1.3584, decode.d1.loss_cls: 0.8259, decode.d1.loss_mask: 0.7999, decode.d1.loss_dice: 1.2604, decode.d2.loss_cls: 0.7812, decode.d2.loss_mask: 0.7830, decode.d2.loss_dice: 1.2168, decode.d3.loss_cls: 0.7759, decode.d3.loss_mask: 0.7767, decode.d3.loss_dice: 1.1918, decode.d4.loss_cls: 0.7655, decode.d4.loss_mask: 0.7776, decode.d4.loss_dice: 1.1884, decode.d5.loss_cls: 0.7589, decode.d5.loss_mask: 0.7757, decode.d5.loss_dice: 1.1908, decode.d6.loss_cls: 0.7605, decode.d6.loss_mask: 0.7695, decode.d6.loss_dice: 1.1771, decode.d7.loss_cls: 0.7528, decode.d7.loss_mask: 0.7733, decode.d7.loss_dice: 1.1748, decode.d8.loss_cls: 0.7559, decode.d8.loss_mask: 0.7745, decode.d8.loss_dice: 1.1821, loss: 29.3183 2022-09-13 05:31:13,563 - mmseg - INFO - Iter [47550/80000] lr: 5.824e-07, eta: 17:24:11, time: 1.842, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7655, decode.loss_mask: 0.7358, decode.loss_dice: 1.1726, decode.d0.loss_cls: 2.5837, decode.d0.loss_mask: 0.7487, decode.d0.loss_dice: 1.3584, decode.d1.loss_cls: 0.8450, decode.d1.loss_mask: 0.7583, decode.d1.loss_dice: 1.2650, decode.d2.loss_cls: 0.7912, decode.d2.loss_mask: 0.7443, decode.d2.loss_dice: 1.2091, decode.d3.loss_cls: 0.7840, decode.d3.loss_mask: 0.7412, decode.d3.loss_dice: 1.1884, decode.d4.loss_cls: 0.7817, decode.d4.loss_mask: 0.7333, decode.d4.loss_dice: 1.1767, decode.d5.loss_cls: 0.7694, decode.d5.loss_mask: 0.7327, decode.d5.loss_dice: 1.1785, decode.d6.loss_cls: 0.7702, decode.d6.loss_mask: 0.7329, decode.d6.loss_dice: 1.1640, decode.d7.loss_cls: 0.7638, decode.d7.loss_mask: 0.7340, decode.d7.loss_dice: 1.1634, decode.d8.loss_cls: 0.7704, decode.d8.loss_mask: 0.7314, decode.d8.loss_dice: 1.1650, loss: 29.0586 2022-09-13 05:32:46,345 - mmseg - INFO - Iter [47600/80000] lr: 5.815e-07, eta: 17:22:32, time: 1.856, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7909, decode.loss_mask: 0.7789, decode.loss_dice: 1.1931, decode.d0.loss_cls: 2.5401, decode.d0.loss_mask: 0.7890, decode.d0.loss_dice: 1.3728, decode.d1.loss_cls: 0.8710, decode.d1.loss_mask: 0.8109, decode.d1.loss_dice: 1.2837, decode.d2.loss_cls: 0.8139, decode.d2.loss_mask: 0.8030, decode.d2.loss_dice: 1.2269, decode.d3.loss_cls: 0.8073, decode.d3.loss_mask: 0.7890, decode.d3.loss_dice: 1.2049, decode.d4.loss_cls: 0.8058, decode.d4.loss_mask: 0.7835, decode.d4.loss_dice: 1.2098, decode.d5.loss_cls: 0.7945, decode.d5.loss_mask: 0.7839, decode.d5.loss_dice: 1.1983, decode.d6.loss_cls: 0.7941, decode.d6.loss_mask: 0.7803, decode.d6.loss_dice: 1.1888, decode.d7.loss_cls: 0.7812, decode.d7.loss_mask: 0.7821, decode.d7.loss_dice: 1.1918, decode.d8.loss_cls: 0.7821, decode.d8.loss_mask: 0.7815, decode.d8.loss_dice: 1.1920, loss: 29.9249 2022-09-13 05:34:20,190 - mmseg - INFO - Iter [47650/80000] lr: 5.806e-07, eta: 17:20:54, time: 1.877, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7674, decode.loss_mask: 0.7435, decode.loss_dice: 1.1553, decode.d0.loss_cls: 2.5089, decode.d0.loss_mask: 0.7572, decode.d0.loss_dice: 1.3257, decode.d1.loss_cls: 0.8304, decode.d1.loss_mask: 0.7775, decode.d1.loss_dice: 1.2381, decode.d2.loss_cls: 0.7861, decode.d2.loss_mask: 0.7641, decode.d2.loss_dice: 1.1897, decode.d3.loss_cls: 0.7791, decode.d3.loss_mask: 0.7493, decode.d3.loss_dice: 1.1682, decode.d4.loss_cls: 0.7728, decode.d4.loss_mask: 0.7468, decode.d4.loss_dice: 1.1695, decode.d5.loss_cls: 0.7713, decode.d5.loss_mask: 0.7478, decode.d5.loss_dice: 1.1634, decode.d6.loss_cls: 0.7636, decode.d6.loss_mask: 0.7417, decode.d6.loss_dice: 1.1518, decode.d7.loss_cls: 0.7642, decode.d7.loss_mask: 0.7436, decode.d7.loss_dice: 1.1496, decode.d8.loss_cls: 0.7621, decode.d8.loss_mask: 0.7444, decode.d8.loss_dice: 1.1547, loss: 28.8880 2022-09-13 05:35:54,322 - mmseg - INFO - Iter [47700/80000] lr: 5.797e-07, eta: 17:19:16, time: 1.883, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7616, decode.loss_mask: 0.7585, decode.loss_dice: 1.1813, decode.d0.loss_cls: 2.5071, decode.d0.loss_mask: 0.7738, decode.d0.loss_dice: 1.3566, decode.d1.loss_cls: 0.8304, decode.d1.loss_mask: 0.7915, decode.d1.loss_dice: 1.2750, decode.d2.loss_cls: 0.7768, decode.d2.loss_mask: 0.7794, decode.d2.loss_dice: 1.2294, decode.d3.loss_cls: 0.7758, decode.d3.loss_mask: 0.7702, decode.d3.loss_dice: 1.2009, decode.d4.loss_cls: 0.7695, decode.d4.loss_mask: 0.7674, decode.d4.loss_dice: 1.1935, decode.d5.loss_cls: 0.7560, decode.d5.loss_mask: 0.7683, decode.d5.loss_dice: 1.1935, decode.d6.loss_cls: 0.7570, decode.d6.loss_mask: 0.7646, decode.d6.loss_dice: 1.1901, decode.d7.loss_cls: 0.7536, decode.d7.loss_mask: 0.7597, decode.d7.loss_dice: 1.1831, decode.d8.loss_cls: 0.7557, decode.d8.loss_mask: 0.7621, decode.d8.loss_dice: 1.1873, loss: 29.3297 2022-09-13 05:37:26,177 - mmseg - INFO - Iter [47750/80000] lr: 5.788e-07, eta: 17:17:36, time: 1.837, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7935, decode.loss_mask: 0.7772, decode.loss_dice: 1.1964, decode.d0.loss_cls: 2.6144, decode.d0.loss_mask: 0.7839, decode.d0.loss_dice: 1.3913, decode.d1.loss_cls: 0.8766, decode.d1.loss_mask: 0.8037, decode.d1.loss_dice: 1.2903, decode.d2.loss_cls: 0.8305, decode.d2.loss_mask: 0.7869, decode.d2.loss_dice: 1.2398, decode.d3.loss_cls: 0.8144, decode.d3.loss_mask: 0.7782, decode.d3.loss_dice: 1.2083, decode.d4.loss_cls: 0.8082, decode.d4.loss_mask: 0.7789, decode.d4.loss_dice: 1.2054, decode.d5.loss_cls: 0.8041, decode.d5.loss_mask: 0.7738, decode.d5.loss_dice: 1.2046, decode.d6.loss_cls: 0.8031, decode.d6.loss_mask: 0.7725, decode.d6.loss_dice: 1.1889, decode.d7.loss_cls: 0.7962, decode.d7.loss_mask: 0.7744, decode.d7.loss_dice: 1.1954, decode.d8.loss_cls: 0.7951, decode.d8.loss_mask: 0.7761, decode.d8.loss_dice: 1.1967, loss: 30.0589 2022-09-13 05:39:00,165 - mmseg - INFO - Iter [47800/80000] lr: 5.779e-07, eta: 17:15:58, time: 1.879, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7826, decode.loss_mask: 0.7701, decode.loss_dice: 1.1646, decode.d0.loss_cls: 2.5370, decode.d0.loss_mask: 0.7866, decode.d0.loss_dice: 1.3580, decode.d1.loss_cls: 0.8504, decode.d1.loss_mask: 0.7967, decode.d1.loss_dice: 1.2641, decode.d2.loss_cls: 0.7987, decode.d2.loss_mask: 0.7842, decode.d2.loss_dice: 1.2057, decode.d3.loss_cls: 0.7919, decode.d3.loss_mask: 0.7775, decode.d3.loss_dice: 1.1798, decode.d4.loss_cls: 0.7907, decode.d4.loss_mask: 0.7770, decode.d4.loss_dice: 1.1810, decode.d5.loss_cls: 0.7832, decode.d5.loss_mask: 0.7770, decode.d5.loss_dice: 1.1810, decode.d6.loss_cls: 0.7740, decode.d6.loss_mask: 0.7746, decode.d6.loss_dice: 1.1715, decode.d7.loss_cls: 0.7810, decode.d7.loss_mask: 0.7712, decode.d7.loss_dice: 1.1713, decode.d8.loss_cls: 0.7769, decode.d8.loss_mask: 0.7710, decode.d8.loss_dice: 1.1713, loss: 29.5004 2022-09-13 05:40:32,526 - mmseg - INFO - Iter [47850/80000] lr: 5.770e-07, eta: 17:14:18, time: 1.848, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7513, decode.loss_mask: 0.7701, decode.loss_dice: 1.1350, decode.d0.loss_cls: 2.4768, decode.d0.loss_mask: 0.7822, decode.d0.loss_dice: 1.3193, decode.d1.loss_cls: 0.8190, decode.d1.loss_mask: 0.8017, decode.d1.loss_dice: 1.2255, decode.d2.loss_cls: 0.7792, decode.d2.loss_mask: 0.7815, decode.d2.loss_dice: 1.1722, decode.d3.loss_cls: 0.7712, decode.d3.loss_mask: 0.7736, decode.d3.loss_dice: 1.1516, decode.d4.loss_cls: 0.7625, decode.d4.loss_mask: 0.7736, decode.d4.loss_dice: 1.1527, decode.d5.loss_cls: 0.7586, decode.d5.loss_mask: 0.7734, decode.d5.loss_dice: 1.1436, decode.d6.loss_cls: 0.7534, decode.d6.loss_mask: 0.7636, decode.d6.loss_dice: 1.1361, decode.d7.loss_cls: 0.7540, decode.d7.loss_mask: 0.7629, decode.d7.loss_dice: 1.1341, decode.d8.loss_cls: 0.7514, decode.d8.loss_mask: 0.7694, decode.d8.loss_dice: 1.1318, loss: 28.8312 2022-09-13 05:42:05,167 - mmseg - INFO - Iter [47900/80000] lr: 5.761e-07, eta: 17:12:39, time: 1.853, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7805, decode.loss_mask: 0.7452, decode.loss_dice: 1.1941, decode.d0.loss_cls: 2.5346, decode.d0.loss_mask: 0.7395, decode.d0.loss_dice: 1.3791, decode.d1.loss_cls: 0.8525, decode.d1.loss_mask: 0.7716, decode.d1.loss_dice: 1.2924, decode.d2.loss_cls: 0.8155, decode.d2.loss_mask: 0.7510, decode.d2.loss_dice: 1.2260, decode.d3.loss_cls: 0.7931, decode.d3.loss_mask: 0.7473, decode.d3.loss_dice: 1.2166, decode.d4.loss_cls: 0.7942, decode.d4.loss_mask: 0.7429, decode.d4.loss_dice: 1.2093, decode.d5.loss_cls: 0.7831, decode.d5.loss_mask: 0.7442, decode.d5.loss_dice: 1.2053, decode.d6.loss_cls: 0.7808, decode.d6.loss_mask: 0.7419, decode.d6.loss_dice: 1.1971, decode.d7.loss_cls: 0.7744, decode.d7.loss_mask: 0.7435, decode.d7.loss_dice: 1.1968, decode.d8.loss_cls: 0.7689, decode.d8.loss_mask: 0.7455, decode.d8.loss_dice: 1.1975, loss: 29.4645 2022-09-13 05:43:38,081 - mmseg - INFO - Iter [47950/80000] lr: 5.752e-07, eta: 17:11:00, time: 1.858, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7582, decode.loss_mask: 0.7873, decode.loss_dice: 1.1916, decode.d0.loss_cls: 2.5010, decode.d0.loss_mask: 0.8124, decode.d0.loss_dice: 1.3716, decode.d1.loss_cls: 0.8458, decode.d1.loss_mask: 0.8227, decode.d1.loss_dice: 1.2900, decode.d2.loss_cls: 0.7935, decode.d2.loss_mask: 0.8069, decode.d2.loss_dice: 1.2350, decode.d3.loss_cls: 0.7756, decode.d3.loss_mask: 0.7985, decode.d3.loss_dice: 1.2151, decode.d4.loss_cls: 0.7693, decode.d4.loss_mask: 0.7907, decode.d4.loss_dice: 1.2091, decode.d5.loss_cls: 0.7647, decode.d5.loss_mask: 0.7926, decode.d5.loss_dice: 1.2033, decode.d6.loss_cls: 0.7630, decode.d6.loss_mask: 0.7893, decode.d6.loss_dice: 1.1898, decode.d7.loss_cls: 0.7599, decode.d7.loss_mask: 0.7910, decode.d7.loss_dice: 1.1918, decode.d8.loss_cls: 0.7564, decode.d8.loss_mask: 0.7881, decode.d8.loss_dice: 1.1938, loss: 29.7580 2022-09-13 05:45:10,947 - mmseg - INFO - Saving checkpoint at 48000 iterations 2022-09-13 05:45:43,929 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 05:45:43,936 - mmseg - INFO - Iter [48000/80000] lr: 5.743e-07, eta: 17:09:43, time: 2.515, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7864, decode.loss_mask: 0.7594, decode.loss_dice: 1.1831, decode.d0.loss_cls: 2.5381, decode.d0.loss_mask: 0.7674, decode.d0.loss_dice: 1.3811, decode.d1.loss_cls: 0.8548, decode.d1.loss_mask: 0.7842, decode.d1.loss_dice: 1.2750, decode.d2.loss_cls: 0.8081, decode.d2.loss_mask: 0.7718, decode.d2.loss_dice: 1.2202, decode.d3.loss_cls: 0.8034, decode.d3.loss_mask: 0.7682, decode.d3.loss_dice: 1.2023, decode.d4.loss_cls: 0.7944, decode.d4.loss_mask: 0.7616, decode.d4.loss_dice: 1.1930, decode.d5.loss_cls: 0.7881, decode.d5.loss_mask: 0.7601, decode.d5.loss_dice: 1.1950, decode.d6.loss_cls: 0.7910, decode.d6.loss_mask: 0.7612, decode.d6.loss_dice: 1.1840, decode.d7.loss_cls: 0.7851, decode.d7.loss_mask: 0.7572, decode.d7.loss_dice: 1.1823, decode.d8.loss_cls: 0.7812, decode.d8.loss_mask: 0.7576, decode.d8.loss_dice: 1.1832, loss: 29.5787 2022-09-13 05:50:40,408 - mmseg - INFO - per class results: 2022-09-13 05:50:40,422 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 88.15 | 94.25 | | bicycle | 76.6 | 86.48 | | car | 66.39 | 82.72 | | motorcycle | 85.99 | 90.17 | | airplane | 86.81 | 93.03 | | bus | 85.66 | 89.61 | | train | 85.24 | 95.85 | | truck | 68.15 | 82.18 | | boat | 74.99 | 85.55 | | traffic light | 73.57 | 87.52 | | fire hydrant | 91.81 | 95.73 | | stop sign | 92.15 | 98.25 | | parking meter | 75.94 | 87.49 | | bench | 57.21 | 77.48 | | bird | 84.7 | 92.41 | | cat | 83.82 | 90.23 | | dog | 79.67 | 86.07 | | horse | 84.94 | 94.3 | | sheep | 88.63 | 95.46 | | cow | 87.96 | 91.2 | | elephant | 93.18 | 96.52 | | bear | 93.49 | 96.25 | | zebra | 90.46 | 93.33 | | giraffe | 88.16 | 93.98 | | backpack | 43.32 | 70.34 | | umbrella | 88.31 | 94.08 | | handbag | 44.05 | 69.02 | | tie | 19.08 | 26.39 | | suitcase | 83.68 | 94.23 | | frisbee | 81.43 | 94.82 | | skis | 62.37 | 77.32 | | snowboard | 71.11 | 81.19 | | sports ball | 59.0 | 76.5 | | kite | 78.61 | 87.06 | | baseball bat | 47.67 | 85.82 | | baseball glove | 69.81 | 91.83 | | skateboard | 82.65 | 91.22 | | surfboard | 84.78 | 92.43 | | tennis racket | 87.99 | 92.87 | | bottle | 50.11 | 63.99 | | wine glass | 61.24 | 83.41 | | cup | 60.58 | 83.76 | | fork | 49.3 | 61.65 | | knife | 43.57 | 64.72 | | spoon | 42.79 | 63.39 | | bowl | 50.48 | 69.69 | | banana | 72.37 | 93.95 | | apple | 54.64 | 76.22 | | sandwich | 50.54 | 65.49 | | orange | 79.78 | 87.84 | | broccoli | 58.47 | 79.38 | | carrot | 58.81 | 71.24 | | hot dog | 54.09 | 65.86 | | pizza | 73.08 | 86.52 | | donut | 75.95 | 93.28 | | cake | 72.61 | 83.0 | | chair | 55.58 | 74.12 | | couch | 60.38 | 77.84 | | potted plant | 38.6 | 61.53 | | bed | 66.85 | 86.56 | | dining table | 46.0 | 80.2 | | toilet | 86.71 | 94.85 | | tv | 75.14 | 87.79 | | laptop | 81.16 | 93.52 | | mouse | 81.8 | 92.01 | | remote | 66.45 | 82.85 | | keyboard | 70.72 | 83.35 | | cell phone | 77.77 | 88.16 | | microwave | 71.86 | 83.31 | | oven | 60.39 | 85.72 | | toaster | 53.65 | 60.05 | | sink | 65.08 | 83.87 | | refrigerator | 81.23 | 92.24 | | book | 54.2 | 74.84 | | clock | 74.05 | 83.44 | | vase | 62.41 | 88.71 | | scissors | 80.99 | 93.01 | | teddy bear | 83.61 | 95.07 | | hair drier | 47.58 | 61.09 | | toothbrush | 64.44 | 81.71 | | banner | 30.31 | 60.04 | | blanket | 6.83 | 7.73 | | branch | 26.75 | 46.51 | | bridge | 46.27 | 68.36 | | building-other | 53.73 | 72.31 | | bush | 35.33 | 45.77 | | cabinet | 58.19 | 76.22 | | cage | 16.48 | 20.7 | | cardboard | 48.85 | 60.66 | | carpet | 54.41 | 72.15 | | ceiling-other | 68.76 | 85.03 | | ceiling-tile | 0.0 | 0.0 | | cloth | 3.97 | 3.97 | | clothes | 23.45 | 34.65 | | clouds | 48.23 | 68.01 | | counter | 27.21 | 54.1 | | cupboard | 0.0 | 0.0 | | curtain | 69.87 | 84.21 | | desk-stuff | 46.26 | 62.09 | | dirt | 42.81 | 65.26 | | door-stuff | 45.97 | 81.22 | | fence | 34.33 | 66.37 | | floor-marble | 5.76 | 6.4 | | floor-other | 28.07 | 41.67 | | floor-stone | 3.87 | 4.87 | | floor-tile | 65.57 | 73.44 | | floor-wood | 67.55 | 82.79 | | flower | 42.36 | 55.48 | | fog | 5.2 | 5.36 | | food-other | 23.04 | 26.17 | | fruit | 46.49 | 65.75 | | furniture-other | 19.81 | 27.21 | | grass | 70.73 | 82.66 | | gravel | 33.38 | 47.29 | | ground-other | 3.11 | 3.98 | | hill | 17.68 | 23.09 | | house | 24.47 | 29.4 | | leaves | 27.61 | 31.58 | | light | 42.19 | 59.82 | | mat | 0.0 | 0.0 | | metal | 37.41 | 49.48 | | mirror-stuff | 60.23 | 82.31 | | moss | 0.0 | 0.0 | | mountain | 52.74 | 75.58 | | mud | 1.08 | 1.5 | | napkin | 7.74 | 7.97 | | net | 46.59 | 64.09 | | paper | 33.39 | 48.32 | | pavement | 53.57 | 70.84 | | pillow | 22.77 | 47.67 | | plant-other | 21.81 | 34.48 | | plastic | 27.33 | 36.47 | | platform | 31.81 | 47.33 | | playingfield | 69.4 | 91.13 | | railing | 9.63 | 23.52 | | railroad | 64.62 | 81.04 | | river | 47.37 | 59.73 | | road | 68.72 | 85.62 | | rock | 27.68 | 33.67 | | roof | 28.77 | 40.14 | | rug | 34.71 | 53.64 | | salad | 0.0 | 0.0 | | sand | 64.7 | 68.22 | | sea | 86.01 | 90.54 | | shelf | 37.67 | 46.3 | | sky-other | 70.25 | 84.62 | | skyscraper | 37.11 | 50.49 | | snow | 91.13 | 94.48 | | solid-other | 0.0 | 0.0 | | stairs | 27.41 | 56.49 | | stone | 21.44 | 59.84 | | straw | 36.64 | 54.78 | | structural-other | 0.37 | 0.38 | | table | 15.74 | 18.48 | | tent | 8.95 | 11.6 | | textile-other | 14.56 | 23.46 | | towel | 37.88 | 49.81 | | tree | 74.13 | 87.86 | | vegetable | 46.95 | 57.16 | | wall-brick | 51.84 | 64.87 | | wall-concrete | 63.02 | 78.35 | | wall-other | 23.21 | 37.89 | | wall-panel | 1.97 | 2.22 | | wall-stone | 30.44 | 41.06 | | wall-tile | 71.49 | 89.58 | | wall-wood | 42.13 | 53.56 | | water-other | 29.88 | 54.47 | | waterdrops | 0.0 | 0.0 | | window-blind | 53.21 | 64.04 | | window-other | 50.53 | 74.44 | | wood | 32.86 | 50.08 | +------------------+-------+-------+ 2022-09-13 05:50:40,422 - mmseg - INFO - Summary: 2022-09-13 05:50:40,422 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 73.31 | 51.38 | 64.22 | +-------+-------+-------+ 2022-09-13 05:50:41,126 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/segmentation/work_dirs/mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss/best_mIoU_iter_40000.pth was removed 2022-09-13 05:51:10,390 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_48000.pth. 2022-09-13 05:51:10,401 - mmseg - INFO - Best mIoU is 0.5138 at 48000 iter. 2022-09-13 05:51:10,444 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 05:51:10,445 - mmseg - INFO - Iter(val) [313] aAcc: 0.7331, mIoU: 0.5138, mAcc: 0.6422, IoU.person: 0.8815, IoU.bicycle: 0.7660, IoU.car: 0.6639, IoU.motorcycle: 0.8599, IoU.airplane: 0.8681, IoU.bus: 0.8566, IoU.train: 0.8524, IoU.truck: 0.6815, IoU.boat: 0.7499, IoU.traffic light: 0.7357, IoU.fire hydrant: 0.9181, IoU.stop sign: 0.9215, IoU.parking meter: 0.7594, IoU.bench: 0.5721, IoU.bird: 0.8470, IoU.cat: 0.8382, IoU.dog: 0.7967, IoU.horse: 0.8494, IoU.sheep: 0.8863, IoU.cow: 0.8796, IoU.elephant: 0.9318, IoU.bear: 0.9349, IoU.zebra: 0.9046, IoU.giraffe: 0.8816, IoU.backpack: 0.4332, IoU.umbrella: 0.8831, IoU.handbag: 0.4405, IoU.tie: 0.1908, IoU.suitcase: 0.8368, IoU.frisbee: 0.8143, IoU.skis: 0.6237, IoU.snowboard: 0.7111, IoU.sports ball: 0.5900, IoU.kite: 0.7861, IoU.baseball bat: 0.4767, IoU.baseball glove: 0.6981, IoU.skateboard: 0.8265, IoU.surfboard: 0.8478, IoU.tennis racket: 0.8799, IoU.bottle: 0.5011, IoU.wine glass: 0.6124, IoU.cup: 0.6058, IoU.fork: 0.4930, IoU.knife: 0.4357, IoU.spoon: 0.4279, IoU.bowl: 0.5048, IoU.banana: 0.7237, IoU.apple: 0.5464, IoU.sandwich: 0.5054, IoU.orange: 0.7978, IoU.broccoli: 0.5847, IoU.carrot: 0.5881, IoU.hot dog: 0.5409, IoU.pizza: 0.7308, IoU.donut: 0.7595, IoU.cake: 0.7261, IoU.chair: 0.5558, IoU.couch: 0.6038, IoU.potted plant: 0.3860, IoU.bed: 0.6685, IoU.dining table: 0.4600, IoU.toilet: 0.8671, IoU.tv: 0.7514, IoU.laptop: 0.8116, IoU.mouse: 0.8180, IoU.remote: 0.6645, IoU.keyboard: 0.7072, IoU.cell phone: 0.7777, IoU.microwave: 0.7186, IoU.oven: 0.6039, IoU.toaster: 0.5365, IoU.sink: 0.6508, IoU.refrigerator: 0.8123, IoU.book: 0.5420, IoU.clock: 0.7405, IoU.vase: 0.6241, IoU.scissors: 0.8099, IoU.teddy bear: 0.8361, IoU.hair drier: 0.4758, IoU.toothbrush: 0.6444, IoU.banner: 0.3031, IoU.blanket: 0.0683, IoU.branch: 0.2675, IoU.bridge: 0.4627, IoU.building-other: 0.5373, IoU.bush: 0.3533, IoU.cabinet: 0.5819, IoU.cage: 0.1648, IoU.cardboard: 0.4885, IoU.carpet: 0.5441, IoU.ceiling-other: 0.6876, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0397, IoU.clothes: 0.2345, IoU.clouds: 0.4823, IoU.counter: 0.2721, IoU.cupboard: 0.0000, IoU.curtain: 0.6987, IoU.desk-stuff: 0.4626, IoU.dirt: 0.4281, IoU.door-stuff: 0.4597, IoU.fence: 0.3433, IoU.floor-marble: 0.0576, IoU.floor-other: 0.2807, IoU.floor-stone: 0.0387, IoU.floor-tile: 0.6557, IoU.floor-wood: 0.6755, IoU.flower: 0.4236, IoU.fog: 0.0520, IoU.food-other: 0.2304, IoU.fruit: 0.4649, IoU.furniture-other: 0.1981, IoU.grass: 0.7073, IoU.gravel: 0.3338, IoU.ground-other: 0.0311, IoU.hill: 0.1768, IoU.house: 0.2447, IoU.leaves: 0.2761, IoU.light: 0.4219, IoU.mat: 0.0000, IoU.metal: 0.3741, IoU.mirror-stuff: 0.6023, IoU.moss: 0.0000, IoU.mountain: 0.5274, IoU.mud: 0.0108, IoU.napkin: 0.0774, IoU.net: 0.4659, IoU.paper: 0.3339, IoU.pavement: 0.5357, IoU.pillow: 0.2277, IoU.plant-other: 0.2181, IoU.plastic: 0.2733, IoU.platform: 0.3181, IoU.playingfield: 0.6940, IoU.railing: 0.0963, IoU.railroad: 0.6462, IoU.river: 0.4737, IoU.road: 0.6872, IoU.rock: 0.2768, IoU.roof: 0.2877, IoU.rug: 0.3471, IoU.salad: 0.0000, IoU.sand: 0.6470, IoU.sea: 0.8601, IoU.shelf: 0.3767, IoU.sky-other: 0.7025, IoU.skyscraper: 0.3711, IoU.snow: 0.9113, IoU.solid-other: 0.0000, IoU.stairs: 0.2741, IoU.stone: 0.2144, IoU.straw: 0.3664, IoU.structural-other: 0.0037, IoU.table: 0.1574, IoU.tent: 0.0895, IoU.textile-other: 0.1456, IoU.towel: 0.3788, IoU.tree: 0.7413, IoU.vegetable: 0.4695, IoU.wall-brick: 0.5184, IoU.wall-concrete: 0.6302, IoU.wall-other: 0.2321, IoU.wall-panel: 0.0197, IoU.wall-stone: 0.3044, IoU.wall-tile: 0.7149, IoU.wall-wood: 0.4213, IoU.water-other: 0.2988, IoU.waterdrops: 0.0000, IoU.window-blind: 0.5321, IoU.window-other: 0.5053, IoU.wood: 0.3286, Acc.person: 0.9425, Acc.bicycle: 0.8648, Acc.car: 0.8272, Acc.motorcycle: 0.9017, Acc.airplane: 0.9303, Acc.bus: 0.8961, Acc.train: 0.9585, Acc.truck: 0.8218, Acc.boat: 0.8555, Acc.traffic light: 0.8752, Acc.fire hydrant: 0.9573, Acc.stop sign: 0.9825, Acc.parking meter: 0.8749, Acc.bench: 0.7748, Acc.bird: 0.9241, Acc.cat: 0.9023, Acc.dog: 0.8607, Acc.horse: 0.9430, Acc.sheep: 0.9546, Acc.cow: 0.9120, Acc.elephant: 0.9652, Acc.bear: 0.9625, Acc.zebra: 0.9333, Acc.giraffe: 0.9398, Acc.backpack: 0.7034, Acc.umbrella: 0.9408, Acc.handbag: 0.6902, Acc.tie: 0.2639, Acc.suitcase: 0.9423, Acc.frisbee: 0.9482, Acc.skis: 0.7732, Acc.snowboard: 0.8119, Acc.sports ball: 0.7650, Acc.kite: 0.8706, Acc.baseball bat: 0.8582, Acc.baseball glove: 0.9183, Acc.skateboard: 0.9122, Acc.surfboard: 0.9243, Acc.tennis racket: 0.9287, Acc.bottle: 0.6399, Acc.wine glass: 0.8341, Acc.cup: 0.8376, Acc.fork: 0.6165, Acc.knife: 0.6472, Acc.spoon: 0.6339, Acc.bowl: 0.6969, Acc.banana: 0.9395, Acc.apple: 0.7622, Acc.sandwich: 0.6549, Acc.orange: 0.8784, Acc.broccoli: 0.7938, Acc.carrot: 0.7124, Acc.hot dog: 0.6586, Acc.pizza: 0.8652, Acc.donut: 0.9328, Acc.cake: 0.8300, Acc.chair: 0.7412, Acc.couch: 0.7784, Acc.potted plant: 0.6153, Acc.bed: 0.8656, Acc.dining table: 0.8020, Acc.toilet: 0.9485, Acc.tv: 0.8779, Acc.laptop: 0.9352, Acc.mouse: 0.9201, Acc.remote: 0.8285, Acc.keyboard: 0.8335, Acc.cell phone: 0.8816, Acc.microwave: 0.8331, Acc.oven: 0.8572, Acc.toaster: 0.6005, Acc.sink: 0.8387, Acc.refrigerator: 0.9224, Acc.book: 0.7484, Acc.clock: 0.8344, Acc.vase: 0.8871, Acc.scissors: 0.9301, Acc.teddy bear: 0.9507, Acc.hair drier: 0.6109, Acc.toothbrush: 0.8171, Acc.banner: 0.6004, Acc.blanket: 0.0773, Acc.branch: 0.4651, Acc.bridge: 0.6836, Acc.building-other: 0.7231, Acc.bush: 0.4577, Acc.cabinet: 0.7622, Acc.cage: 0.2070, Acc.cardboard: 0.6066, Acc.carpet: 0.7215, Acc.ceiling-other: 0.8503, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0397, Acc.clothes: 0.3465, Acc.clouds: 0.6801, Acc.counter: 0.5410, Acc.cupboard: 0.0000, Acc.curtain: 0.8421, Acc.desk-stuff: 0.6209, Acc.dirt: 0.6526, Acc.door-stuff: 0.8122, Acc.fence: 0.6637, Acc.floor-marble: 0.0640, Acc.floor-other: 0.4167, Acc.floor-stone: 0.0487, Acc.floor-tile: 0.7344, Acc.floor-wood: 0.8279, Acc.flower: 0.5548, Acc.fog: 0.0536, Acc.food-other: 0.2617, Acc.fruit: 0.6575, Acc.furniture-other: 0.2721, Acc.grass: 0.8266, Acc.gravel: 0.4729, Acc.ground-other: 0.0398, Acc.hill: 0.2309, Acc.house: 0.2940, Acc.leaves: 0.3158, Acc.light: 0.5982, Acc.mat: 0.0000, Acc.metal: 0.4948, Acc.mirror-stuff: 0.8231, Acc.moss: 0.0000, Acc.mountain: 0.7558, Acc.mud: 0.0150, Acc.napkin: 0.0797, Acc.net: 0.6409, Acc.paper: 0.4832, Acc.pavement: 0.7084, Acc.pillow: 0.4767, Acc.plant-other: 0.3448, Acc.plastic: 0.3647, Acc.platform: 0.4733, Acc.playingfield: 0.9113, Acc.railing: 0.2352, Acc.railroad: 0.8104, Acc.river: 0.5973, Acc.road: 0.8562, Acc.rock: 0.3367, Acc.roof: 0.4014, Acc.rug: 0.5364, Acc.salad: 0.0000, Acc.sand: 0.6822, Acc.sea: 0.9054, Acc.shelf: 0.4630, Acc.sky-other: 0.8462, Acc.skyscraper: 0.5049, Acc.snow: 0.9448, Acc.solid-other: 0.0000, Acc.stairs: 0.5649, Acc.stone: 0.5984, Acc.straw: 0.5478, Acc.structural-other: 0.0038, Acc.table: 0.1848, Acc.tent: 0.1160, Acc.textile-other: 0.2346, Acc.towel: 0.4981, Acc.tree: 0.8786, Acc.vegetable: 0.5716, Acc.wall-brick: 0.6487, Acc.wall-concrete: 0.7835, Acc.wall-other: 0.3789, Acc.wall-panel: 0.0222, Acc.wall-stone: 0.4106, Acc.wall-tile: 0.8958, Acc.wall-wood: 0.5356, Acc.water-other: 0.5447, Acc.waterdrops: 0.0000, Acc.window-blind: 0.6404, Acc.window-other: 0.7444, Acc.wood: 0.5008 2022-09-13 05:52:44,866 - mmseg - INFO - Iter [48050/80000] lr: 5.734e-07, eta: 17:11:43, time: 8.421, data_time: 6.547, memory: 42763, decode.loss_cls: 0.7569, decode.loss_mask: 0.7876, decode.loss_dice: 1.1643, decode.d0.loss_cls: 2.4592, decode.d0.loss_mask: 0.8070, decode.d0.loss_dice: 1.3499, decode.d1.loss_cls: 0.8343, decode.d1.loss_mask: 0.8205, decode.d1.loss_dice: 1.2597, decode.d2.loss_cls: 0.7799, decode.d2.loss_mask: 0.8072, decode.d2.loss_dice: 1.2181, decode.d3.loss_cls: 0.7692, decode.d3.loss_mask: 0.8015, decode.d3.loss_dice: 1.1857, decode.d4.loss_cls: 0.7647, decode.d4.loss_mask: 0.7970, decode.d4.loss_dice: 1.1786, decode.d5.loss_cls: 0.7594, decode.d5.loss_mask: 0.7938, decode.d5.loss_dice: 1.1758, decode.d6.loss_cls: 0.7583, decode.d6.loss_mask: 0.7885, decode.d6.loss_dice: 1.1614, decode.d7.loss_cls: 0.7494, decode.d7.loss_mask: 0.7943, decode.d7.loss_dice: 1.1725, decode.d8.loss_cls: 0.7491, decode.d8.loss_mask: 0.7918, decode.d8.loss_dice: 1.1689, loss: 29.4047 2022-09-13 05:54:16,714 - mmseg - INFO - Iter [48100/80000] lr: 5.725e-07, eta: 17:10:02, time: 1.837, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7884, decode.loss_mask: 0.7557, decode.loss_dice: 1.1924, decode.d0.loss_cls: 2.5806, decode.d0.loss_mask: 0.7650, decode.d0.loss_dice: 1.3858, decode.d1.loss_cls: 0.8710, decode.d1.loss_mask: 0.7829, decode.d1.loss_dice: 1.2859, decode.d2.loss_cls: 0.8157, decode.d2.loss_mask: 0.7697, decode.d2.loss_dice: 1.2293, decode.d3.loss_cls: 0.8054, decode.d3.loss_mask: 0.7578, decode.d3.loss_dice: 1.2094, decode.d4.loss_cls: 0.7997, decode.d4.loss_mask: 0.7568, decode.d4.loss_dice: 1.2002, decode.d5.loss_cls: 0.7805, decode.d5.loss_mask: 0.7558, decode.d5.loss_dice: 1.2045, decode.d6.loss_cls: 0.7882, decode.d6.loss_mask: 0.7552, decode.d6.loss_dice: 1.1909, decode.d7.loss_cls: 0.7835, decode.d7.loss_mask: 0.7539, decode.d7.loss_dice: 1.1914, decode.d8.loss_cls: 0.7835, decode.d8.loss_mask: 0.7568, decode.d8.loss_dice: 1.1913, loss: 29.6870 2022-09-13 05:55:49,948 - mmseg - INFO - Iter [48150/80000] lr: 5.716e-07, eta: 17:08:23, time: 1.865, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7408, decode.loss_mask: 0.7636, decode.loss_dice: 1.1633, decode.d0.loss_cls: 2.4982, decode.d0.loss_mask: 0.7850, decode.d0.loss_dice: 1.3577, decode.d1.loss_cls: 0.8126, decode.d1.loss_mask: 0.7936, decode.d1.loss_dice: 1.2694, decode.d2.loss_cls: 0.7588, decode.d2.loss_mask: 0.7829, decode.d2.loss_dice: 1.2188, decode.d3.loss_cls: 0.7572, decode.d3.loss_mask: 0.7744, decode.d3.loss_dice: 1.1944, decode.d4.loss_cls: 0.7520, decode.d4.loss_mask: 0.7695, decode.d4.loss_dice: 1.1860, decode.d5.loss_cls: 0.7443, decode.d5.loss_mask: 0.7671, decode.d5.loss_dice: 1.1826, decode.d6.loss_cls: 0.7394, decode.d6.loss_mask: 0.7670, decode.d6.loss_dice: 1.1656, decode.d7.loss_cls: 0.7370, decode.d7.loss_mask: 0.7644, decode.d7.loss_dice: 1.1790, decode.d8.loss_cls: 0.7348, decode.d8.loss_mask: 0.7671, decode.d8.loss_dice: 1.1766, loss: 29.1031 2022-09-13 05:57:22,681 - mmseg - INFO - Iter [48200/80000] lr: 5.707e-07, eta: 17:06:43, time: 1.855, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7843, decode.loss_mask: 0.7376, decode.loss_dice: 1.1527, decode.d0.loss_cls: 2.5325, decode.d0.loss_mask: 0.7569, decode.d0.loss_dice: 1.3478, decode.d1.loss_cls: 0.8588, decode.d1.loss_mask: 0.7688, decode.d1.loss_dice: 1.2562, decode.d2.loss_cls: 0.8033, decode.d2.loss_mask: 0.7597, decode.d2.loss_dice: 1.1965, decode.d3.loss_cls: 0.7923, decode.d3.loss_mask: 0.7471, decode.d3.loss_dice: 1.1708, decode.d4.loss_cls: 0.7895, decode.d4.loss_mask: 0.7461, decode.d4.loss_dice: 1.1683, decode.d5.loss_cls: 0.7836, decode.d5.loss_mask: 0.7442, decode.d5.loss_dice: 1.1672, decode.d6.loss_cls: 0.7765, decode.d6.loss_mask: 0.7389, decode.d6.loss_dice: 1.1609, decode.d7.loss_cls: 0.7788, decode.d7.loss_mask: 0.7402, decode.d7.loss_dice: 1.1581, decode.d8.loss_cls: 0.7800, decode.d8.loss_mask: 0.7380, decode.d8.loss_dice: 1.1623, loss: 29.0977 2022-09-13 05:58:55,005 - mmseg - INFO - Iter [48250/80000] lr: 5.698e-07, eta: 17:05:04, time: 1.846, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7583, decode.loss_mask: 0.7718, decode.loss_dice: 1.1703, decode.d0.loss_cls: 2.5390, decode.d0.loss_mask: 0.7963, decode.d0.loss_dice: 1.3491, decode.d1.loss_cls: 0.8470, decode.d1.loss_mask: 0.8058, decode.d1.loss_dice: 1.2558, decode.d2.loss_cls: 0.7858, decode.d2.loss_mask: 0.7897, decode.d2.loss_dice: 1.2075, decode.d3.loss_cls: 0.7762, decode.d3.loss_mask: 0.7836, decode.d3.loss_dice: 1.1892, decode.d4.loss_cls: 0.7709, decode.d4.loss_mask: 0.7801, decode.d4.loss_dice: 1.1865, decode.d5.loss_cls: 0.7631, decode.d5.loss_mask: 0.7801, decode.d5.loss_dice: 1.1779, decode.d6.loss_cls: 0.7583, decode.d6.loss_mask: 0.7745, decode.d6.loss_dice: 1.1727, decode.d7.loss_cls: 0.7583, decode.d7.loss_mask: 0.7748, decode.d7.loss_dice: 1.1744, decode.d8.loss_cls: 0.7540, decode.d8.loss_mask: 0.7737, decode.d8.loss_dice: 1.1691, loss: 29.3939 2022-09-13 06:00:28,435 - mmseg - INFO - Iter [48300/80000] lr: 5.690e-07, eta: 17:03:25, time: 1.869, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7519, decode.loss_mask: 0.7534, decode.loss_dice: 1.1672, decode.d0.loss_cls: 2.5198, decode.d0.loss_mask: 0.7649, decode.d0.loss_dice: 1.3293, decode.d1.loss_cls: 0.8361, decode.d1.loss_mask: 0.7808, decode.d1.loss_dice: 1.2428, decode.d2.loss_cls: 0.7911, decode.d2.loss_mask: 0.7676, decode.d2.loss_dice: 1.1990, decode.d3.loss_cls: 0.7870, decode.d3.loss_mask: 0.7550, decode.d3.loss_dice: 1.1733, decode.d4.loss_cls: 0.7707, decode.d4.loss_mask: 0.7578, decode.d4.loss_dice: 1.1728, decode.d5.loss_cls: 0.7651, decode.d5.loss_mask: 0.7517, decode.d5.loss_dice: 1.1646, decode.d6.loss_cls: 0.7576, decode.d6.loss_mask: 0.7484, decode.d6.loss_dice: 1.1582, decode.d7.loss_cls: 0.7576, decode.d7.loss_mask: 0.7513, decode.d7.loss_dice: 1.1557, decode.d8.loss_cls: 0.7601, decode.d8.loss_mask: 0.7479, decode.d8.loss_dice: 1.1614, loss: 29.0002 2022-09-13 06:02:01,578 - mmseg - INFO - Iter [48350/80000] lr: 5.681e-07, eta: 17:01:45, time: 1.863, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7900, decode.loss_mask: 0.7695, decode.loss_dice: 1.1778, decode.d0.loss_cls: 2.5405, decode.d0.loss_mask: 0.7836, decode.d0.loss_dice: 1.3743, decode.d1.loss_cls: 0.8654, decode.d1.loss_mask: 0.7959, decode.d1.loss_dice: 1.2719, decode.d2.loss_cls: 0.8122, decode.d2.loss_mask: 0.7858, decode.d2.loss_dice: 1.2184, decode.d3.loss_cls: 0.8062, decode.d3.loss_mask: 0.7746, decode.d3.loss_dice: 1.1958, decode.d4.loss_cls: 0.7973, decode.d4.loss_mask: 0.7738, decode.d4.loss_dice: 1.1866, decode.d5.loss_cls: 0.7965, decode.d5.loss_mask: 0.7694, decode.d5.loss_dice: 1.1831, decode.d6.loss_cls: 0.7924, decode.d6.loss_mask: 0.7627, decode.d6.loss_dice: 1.1734, decode.d7.loss_cls: 0.7837, decode.d7.loss_mask: 0.7678, decode.d7.loss_dice: 1.1812, decode.d8.loss_cls: 0.7878, decode.d8.loss_mask: 0.7667, decode.d8.loss_dice: 1.1798, loss: 29.6643 2022-09-13 06:03:34,158 - mmseg - INFO - Iter [48400/80000] lr: 5.672e-07, eta: 17:00:06, time: 1.851, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7776, decode.loss_mask: 0.7390, decode.loss_dice: 1.1884, decode.d0.loss_cls: 2.5893, decode.d0.loss_mask: 0.7578, decode.d0.loss_dice: 1.3903, decode.d1.loss_cls: 0.8548, decode.d1.loss_mask: 0.7734, decode.d1.loss_dice: 1.2895, decode.d2.loss_cls: 0.8051, decode.d2.loss_mask: 0.7542, decode.d2.loss_dice: 1.2370, decode.d3.loss_cls: 0.7938, decode.d3.loss_mask: 0.7523, decode.d3.loss_dice: 1.2164, decode.d4.loss_cls: 0.7917, decode.d4.loss_mask: 0.7435, decode.d4.loss_dice: 1.2094, decode.d5.loss_cls: 0.7880, decode.d5.loss_mask: 0.7427, decode.d5.loss_dice: 1.2007, decode.d6.loss_cls: 0.7803, decode.d6.loss_mask: 0.7452, decode.d6.loss_dice: 1.1941, decode.d7.loss_cls: 0.7783, decode.d7.loss_mask: 0.7419, decode.d7.loss_dice: 1.1940, decode.d8.loss_cls: 0.7796, decode.d8.loss_mask: 0.7411, decode.d8.loss_dice: 1.1959, loss: 29.5452 2022-09-13 06:05:07,026 - mmseg - INFO - Iter [48450/80000] lr: 5.663e-07, eta: 16:58:26, time: 1.857, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7670, decode.loss_mask: 0.7468, decode.loss_dice: 1.1660, decode.d0.loss_cls: 2.5614, decode.d0.loss_mask: 0.7541, decode.d0.loss_dice: 1.3519, decode.d1.loss_cls: 0.8536, decode.d1.loss_mask: 0.7760, decode.d1.loss_dice: 1.2679, decode.d2.loss_cls: 0.8008, decode.d2.loss_mask: 0.7650, decode.d2.loss_dice: 1.2209, decode.d3.loss_cls: 0.7939, decode.d3.loss_mask: 0.7557, decode.d3.loss_dice: 1.1883, decode.d4.loss_cls: 0.7862, decode.d4.loss_mask: 0.7529, decode.d4.loss_dice: 1.1890, decode.d5.loss_cls: 0.7816, decode.d5.loss_mask: 0.7505, decode.d5.loss_dice: 1.1755, decode.d6.loss_cls: 0.7735, decode.d6.loss_mask: 0.7514, decode.d6.loss_dice: 1.1640, decode.d7.loss_cls: 0.7736, decode.d7.loss_mask: 0.7493, decode.d7.loss_dice: 1.1707, decode.d8.loss_cls: 0.7695, decode.d8.loss_mask: 0.7467, decode.d8.loss_dice: 1.1672, loss: 29.2710 2022-09-13 06:06:40,409 - mmseg - INFO - Iter [48500/80000] lr: 5.654e-07, eta: 16:56:47, time: 1.868, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7915, decode.loss_mask: 0.7552, decode.loss_dice: 1.1906, decode.d0.loss_cls: 2.5619, decode.d0.loss_mask: 0.7862, decode.d0.loss_dice: 1.3657, decode.d1.loss_cls: 0.8738, decode.d1.loss_mask: 0.7990, decode.d1.loss_dice: 1.2763, decode.d2.loss_cls: 0.8222, decode.d2.loss_mask: 0.7748, decode.d2.loss_dice: 1.2305, decode.d3.loss_cls: 0.8054, decode.d3.loss_mask: 0.7668, decode.d3.loss_dice: 1.1982, decode.d4.loss_cls: 0.8020, decode.d4.loss_mask: 0.7641, decode.d4.loss_dice: 1.1957, decode.d5.loss_cls: 0.8030, decode.d5.loss_mask: 0.7632, decode.d5.loss_dice: 1.1962, decode.d6.loss_cls: 0.8017, decode.d6.loss_mask: 0.7603, decode.d6.loss_dice: 1.1837, decode.d7.loss_cls: 0.7983, decode.d7.loss_mask: 0.7597, decode.d7.loss_dice: 1.1884, decode.d8.loss_cls: 0.7942, decode.d8.loss_mask: 0.7569, decode.d8.loss_dice: 1.1844, loss: 29.7502 2022-09-13 06:08:14,034 - mmseg - INFO - Iter [48550/80000] lr: 5.645e-07, eta: 16:55:08, time: 1.872, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7561, decode.loss_mask: 0.7781, decode.loss_dice: 1.1828, decode.d0.loss_cls: 2.5121, decode.d0.loss_mask: 0.7863, decode.d0.loss_dice: 1.3485, decode.d1.loss_cls: 0.8344, decode.d1.loss_mask: 0.8073, decode.d1.loss_dice: 1.2779, decode.d2.loss_cls: 0.7817, decode.d2.loss_mask: 0.7951, decode.d2.loss_dice: 1.2306, decode.d3.loss_cls: 0.7716, decode.d3.loss_mask: 0.7897, decode.d3.loss_dice: 1.2032, decode.d4.loss_cls: 0.7620, decode.d4.loss_mask: 0.7858, decode.d4.loss_dice: 1.2010, decode.d5.loss_cls: 0.7591, decode.d5.loss_mask: 0.7871, decode.d5.loss_dice: 1.1999, decode.d6.loss_cls: 0.7615, decode.d6.loss_mask: 0.7795, decode.d6.loss_dice: 1.1801, decode.d7.loss_cls: 0.7601, decode.d7.loss_mask: 0.7762, decode.d7.loss_dice: 1.1798, decode.d8.loss_cls: 0.7564, decode.d8.loss_mask: 0.7783, decode.d8.loss_dice: 1.1804, loss: 29.5029 2022-09-13 06:09:47,156 - mmseg - INFO - Iter [48600/80000] lr: 5.636e-07, eta: 16:53:29, time: 1.862, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7788, decode.loss_mask: 0.7525, decode.loss_dice: 1.1959, decode.d0.loss_cls: 2.5470, decode.d0.loss_mask: 0.7724, decode.d0.loss_dice: 1.3945, decode.d1.loss_cls: 0.8486, decode.d1.loss_mask: 0.7876, decode.d1.loss_dice: 1.2852, decode.d2.loss_cls: 0.7918, decode.d2.loss_mask: 0.7769, decode.d2.loss_dice: 1.2414, decode.d3.loss_cls: 0.7840, decode.d3.loss_mask: 0.7649, decode.d3.loss_dice: 1.2205, decode.d4.loss_cls: 0.7753, decode.d4.loss_mask: 0.7620, decode.d4.loss_dice: 1.2132, decode.d5.loss_cls: 0.7701, decode.d5.loss_mask: 0.7625, decode.d5.loss_dice: 1.2132, decode.d6.loss_cls: 0.7787, decode.d6.loss_mask: 0.7575, decode.d6.loss_dice: 1.2027, decode.d7.loss_cls: 0.7727, decode.d7.loss_mask: 0.7543, decode.d7.loss_dice: 1.2054, decode.d8.loss_cls: 0.7704, decode.d8.loss_mask: 0.7567, decode.d8.loss_dice: 1.2023, loss: 29.6389 2022-09-13 06:11:18,599 - mmseg - INFO - Iter [48650/80000] lr: 5.627e-07, eta: 16:51:49, time: 1.827, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7739, decode.loss_mask: 0.7644, decode.loss_dice: 1.1773, decode.d0.loss_cls: 2.4906, decode.d0.loss_mask: 0.7817, decode.d0.loss_dice: 1.3689, decode.d1.loss_cls: 0.8436, decode.d1.loss_mask: 0.7936, decode.d1.loss_dice: 1.2827, decode.d2.loss_cls: 0.7955, decode.d2.loss_mask: 0.7853, decode.d2.loss_dice: 1.2267, decode.d3.loss_cls: 0.7863, decode.d3.loss_mask: 0.7779, decode.d3.loss_dice: 1.1939, decode.d4.loss_cls: 0.7824, decode.d4.loss_mask: 0.7697, decode.d4.loss_dice: 1.1926, decode.d5.loss_cls: 0.7744, decode.d5.loss_mask: 0.7689, decode.d5.loss_dice: 1.1871, decode.d6.loss_cls: 0.7776, decode.d6.loss_mask: 0.7626, decode.d6.loss_dice: 1.1757, decode.d7.loss_cls: 0.7684, decode.d7.loss_mask: 0.7635, decode.d7.loss_dice: 1.1771, decode.d8.loss_cls: 0.7680, decode.d8.loss_mask: 0.7633, decode.d8.loss_dice: 1.1749, loss: 29.4481 2022-09-13 06:12:50,136 - mmseg - INFO - Iter [48700/80000] lr: 5.618e-07, eta: 16:50:08, time: 1.833, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7535, decode.loss_mask: 0.7748, decode.loss_dice: 1.1573, decode.d0.loss_cls: 2.4675, decode.d0.loss_mask: 0.7821, decode.d0.loss_dice: 1.3335, decode.d1.loss_cls: 0.8182, decode.d1.loss_mask: 0.8024, decode.d1.loss_dice: 1.2349, decode.d2.loss_cls: 0.7805, decode.d2.loss_mask: 0.7862, decode.d2.loss_dice: 1.2001, decode.d3.loss_cls: 0.7610, decode.d3.loss_mask: 0.7768, decode.d3.loss_dice: 1.1722, decode.d4.loss_cls: 0.7594, decode.d4.loss_mask: 0.7798, decode.d4.loss_dice: 1.1753, decode.d5.loss_cls: 0.7526, decode.d5.loss_mask: 0.7761, decode.d5.loss_dice: 1.1722, decode.d6.loss_cls: 0.7524, decode.d6.loss_mask: 0.7706, decode.d6.loss_dice: 1.1612, decode.d7.loss_cls: 0.7505, decode.d7.loss_mask: 0.7690, decode.d7.loss_dice: 1.1524, decode.d8.loss_cls: 0.7480, decode.d8.loss_mask: 0.7741, decode.d8.loss_dice: 1.1562, loss: 29.0509 2022-09-13 06:14:22,633 - mmseg - INFO - Iter [48750/80000] lr: 5.609e-07, eta: 16:48:29, time: 1.850, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7597, decode.loss_mask: 0.7526, decode.loss_dice: 1.1571, decode.d0.loss_cls: 2.5250, decode.d0.loss_mask: 0.7584, decode.d0.loss_dice: 1.3461, decode.d1.loss_cls: 0.8327, decode.d1.loss_mask: 0.7773, decode.d1.loss_dice: 1.2533, decode.d2.loss_cls: 0.7905, decode.d2.loss_mask: 0.7605, decode.d2.loss_dice: 1.2009, decode.d3.loss_cls: 0.7690, decode.d3.loss_mask: 0.7616, decode.d3.loss_dice: 1.1861, decode.d4.loss_cls: 0.7663, decode.d4.loss_mask: 0.7588, decode.d4.loss_dice: 1.1830, decode.d5.loss_cls: 0.7605, decode.d5.loss_mask: 0.7559, decode.d5.loss_dice: 1.1822, decode.d6.loss_cls: 0.7692, decode.d6.loss_mask: 0.7512, decode.d6.loss_dice: 1.1631, decode.d7.loss_cls: 0.7656, decode.d7.loss_mask: 0.7507, decode.d7.loss_dice: 1.1608, decode.d8.loss_cls: 0.7518, decode.d8.loss_mask: 0.7543, decode.d8.loss_dice: 1.1646, loss: 29.0688 2022-09-13 06:15:55,693 - mmseg - INFO - Iter [48800/80000] lr: 5.600e-07, eta: 16:46:50, time: 1.861, data_time: 0.016, memory: 42763, decode.loss_cls: 0.8119, decode.loss_mask: 0.7431, decode.loss_dice: 1.1569, decode.d0.loss_cls: 2.5484, decode.d0.loss_mask: 0.7491, decode.d0.loss_dice: 1.3517, decode.d1.loss_cls: 0.8889, decode.d1.loss_mask: 0.7732, decode.d1.loss_dice: 1.2537, decode.d2.loss_cls: 0.8373, decode.d2.loss_mask: 0.7532, decode.d2.loss_dice: 1.2044, decode.d3.loss_cls: 0.8286, decode.d3.loss_mask: 0.7434, decode.d3.loss_dice: 1.1702, decode.d4.loss_cls: 0.8263, decode.d4.loss_mask: 0.7428, decode.d4.loss_dice: 1.1671, decode.d5.loss_cls: 0.8176, decode.d5.loss_mask: 0.7437, decode.d5.loss_dice: 1.1668, decode.d6.loss_cls: 0.8231, decode.d6.loss_mask: 0.7415, decode.d6.loss_dice: 1.1598, decode.d7.loss_cls: 0.8133, decode.d7.loss_mask: 0.7394, decode.d7.loss_dice: 1.1538, decode.d8.loss_cls: 0.8114, decode.d8.loss_mask: 0.7419, decode.d8.loss_dice: 1.1557, loss: 29.4182 2022-09-13 06:17:28,232 - mmseg - INFO - Iter [48850/80000] lr: 5.591e-07, eta: 16:45:10, time: 1.850, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7883, decode.loss_mask: 0.7477, decode.loss_dice: 1.1938, decode.d0.loss_cls: 2.5254, decode.d0.loss_mask: 0.7643, decode.d0.loss_dice: 1.3763, decode.d1.loss_cls: 0.8577, decode.d1.loss_mask: 0.7816, decode.d1.loss_dice: 1.2852, decode.d2.loss_cls: 0.8088, decode.d2.loss_mask: 0.7583, decode.d2.loss_dice: 1.2290, decode.d3.loss_cls: 0.7976, decode.d3.loss_mask: 0.7526, decode.d3.loss_dice: 1.2051, decode.d4.loss_cls: 0.7986, decode.d4.loss_mask: 0.7507, decode.d4.loss_dice: 1.1979, decode.d5.loss_cls: 0.7918, decode.d5.loss_mask: 0.7468, decode.d5.loss_dice: 1.2010, decode.d6.loss_cls: 0.7909, decode.d6.loss_mask: 0.7483, decode.d6.loss_dice: 1.1888, decode.d7.loss_cls: 0.7882, decode.d7.loss_mask: 0.7467, decode.d7.loss_dice: 1.1917, decode.d8.loss_cls: 0.7839, decode.d8.loss_mask: 0.7490, decode.d8.loss_dice: 1.1941, loss: 29.5401 2022-09-13 06:19:00,942 - mmseg - INFO - Iter [48900/80000] lr: 5.582e-07, eta: 16:43:31, time: 1.855, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8077, decode.loss_mask: 0.7743, decode.loss_dice: 1.1901, decode.d0.loss_cls: 2.5751, decode.d0.loss_mask: 0.7881, decode.d0.loss_dice: 1.3739, decode.d1.loss_cls: 0.8871, decode.d1.loss_mask: 0.8085, decode.d1.loss_dice: 1.2782, decode.d2.loss_cls: 0.8443, decode.d2.loss_mask: 0.7917, decode.d2.loss_dice: 1.2332, decode.d3.loss_cls: 0.8311, decode.d3.loss_mask: 0.7862, decode.d3.loss_dice: 1.2114, decode.d4.loss_cls: 0.8198, decode.d4.loss_mask: 0.7841, decode.d4.loss_dice: 1.2074, decode.d5.loss_cls: 0.8110, decode.d5.loss_mask: 0.7778, decode.d5.loss_dice: 1.2064, decode.d6.loss_cls: 0.8097, decode.d6.loss_mask: 0.7793, decode.d6.loss_dice: 1.1866, decode.d7.loss_cls: 0.8082, decode.d7.loss_mask: 0.7793, decode.d7.loss_dice: 1.1894, decode.d8.loss_cls: 0.8133, decode.d8.loss_mask: 0.7772, decode.d8.loss_dice: 1.1884, loss: 30.1187 2022-09-13 06:20:32,130 - mmseg - INFO - Iter [48950/80000] lr: 5.573e-07, eta: 16:41:50, time: 1.824, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7584, decode.loss_mask: 0.7543, decode.loss_dice: 1.1550, decode.d0.loss_cls: 2.5447, decode.d0.loss_mask: 0.7738, decode.d0.loss_dice: 1.3353, decode.d1.loss_cls: 0.8403, decode.d1.loss_mask: 0.7929, decode.d1.loss_dice: 1.2428, decode.d2.loss_cls: 0.7964, decode.d2.loss_mask: 0.7677, decode.d2.loss_dice: 1.1928, decode.d3.loss_cls: 0.7884, decode.d3.loss_mask: 0.7578, decode.d3.loss_dice: 1.1670, decode.d4.loss_cls: 0.7750, decode.d4.loss_mask: 0.7588, decode.d4.loss_dice: 1.1686, decode.d5.loss_cls: 0.7692, decode.d5.loss_mask: 0.7583, decode.d5.loss_dice: 1.1642, decode.d6.loss_cls: 0.7668, decode.d6.loss_mask: 0.7552, decode.d6.loss_dice: 1.1558, decode.d7.loss_cls: 0.7596, decode.d7.loss_mask: 0.7535, decode.d7.loss_dice: 1.1570, decode.d8.loss_cls: 0.7630, decode.d8.loss_mask: 0.7532, decode.d8.loss_dice: 1.1566, loss: 29.0825 2022-09-13 06:22:03,597 - mmseg - INFO - Saving checkpoint at 49000 iterations 2022-09-13 06:22:33,316 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 06:22:33,323 - mmseg - INFO - Iter [49000/80000] lr: 5.564e-07, eta: 16:40:29, time: 2.422, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7495, decode.loss_mask: 0.7297, decode.loss_dice: 1.1380, decode.d0.loss_cls: 2.4721, decode.d0.loss_mask: 0.7422, decode.d0.loss_dice: 1.3227, decode.d1.loss_cls: 0.8184, decode.d1.loss_mask: 0.7542, decode.d1.loss_dice: 1.2354, decode.d2.loss_cls: 0.7668, decode.d2.loss_mask: 0.7466, decode.d2.loss_dice: 1.1754, decode.d3.loss_cls: 0.7565, decode.d3.loss_mask: 0.7386, decode.d3.loss_dice: 1.1535, decode.d4.loss_cls: 0.7522, decode.d4.loss_mask: 0.7373, decode.d4.loss_dice: 1.1455, decode.d5.loss_cls: 0.7516, decode.d5.loss_mask: 0.7283, decode.d5.loss_dice: 1.1402, decode.d6.loss_cls: 0.7459, decode.d6.loss_mask: 0.7284, decode.d6.loss_dice: 1.1335, decode.d7.loss_cls: 0.7433, decode.d7.loss_mask: 0.7279, decode.d7.loss_dice: 1.1411, decode.d8.loss_cls: 0.7469, decode.d8.loss_mask: 0.7277, decode.d8.loss_dice: 1.1416, loss: 28.3910 2022-09-13 06:24:05,756 - mmseg - INFO - Iter [49050/80000] lr: 5.555e-07, eta: 16:38:49, time: 1.851, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7366, decode.loss_mask: 0.7683, decode.loss_dice: 1.1729, decode.d0.loss_cls: 2.5066, decode.d0.loss_mask: 0.7757, decode.d0.loss_dice: 1.3459, decode.d1.loss_cls: 0.8139, decode.d1.loss_mask: 0.8027, decode.d1.loss_dice: 1.2699, decode.d2.loss_cls: 0.7580, decode.d2.loss_mask: 0.7907, decode.d2.loss_dice: 1.2159, decode.d3.loss_cls: 0.7485, decode.d3.loss_mask: 0.7865, decode.d3.loss_dice: 1.2023, decode.d4.loss_cls: 0.7462, decode.d4.loss_mask: 0.7829, decode.d4.loss_dice: 1.1940, decode.d5.loss_cls: 0.7449, decode.d5.loss_mask: 0.7728, decode.d5.loss_dice: 1.1829, decode.d6.loss_cls: 0.7411, decode.d6.loss_mask: 0.7713, decode.d6.loss_dice: 1.1737, decode.d7.loss_cls: 0.7400, decode.d7.loss_mask: 0.7667, decode.d7.loss_dice: 1.1796, decode.d8.loss_cls: 0.7341, decode.d8.loss_mask: 0.7750, decode.d8.loss_dice: 1.1833, loss: 29.1830 2022-09-13 06:25:38,418 - mmseg - INFO - Iter [49100/80000] lr: 5.546e-07, eta: 16:37:10, time: 1.853, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7895, decode.loss_mask: 0.7711, decode.loss_dice: 1.1775, decode.d0.loss_cls: 2.5488, decode.d0.loss_mask: 0.7861, decode.d0.loss_dice: 1.3509, decode.d1.loss_cls: 0.8680, decode.d1.loss_mask: 0.8127, decode.d1.loss_dice: 1.2603, decode.d2.loss_cls: 0.8178, decode.d2.loss_mask: 0.7942, decode.d2.loss_dice: 1.2115, decode.d3.loss_cls: 0.8080, decode.d3.loss_mask: 0.7834, decode.d3.loss_dice: 1.1903, decode.d4.loss_cls: 0.8066, decode.d4.loss_mask: 0.7831, decode.d4.loss_dice: 1.1841, decode.d5.loss_cls: 0.7941, decode.d5.loss_mask: 0.7790, decode.d5.loss_dice: 1.1876, decode.d6.loss_cls: 0.7960, decode.d6.loss_mask: 0.7695, decode.d6.loss_dice: 1.1742, decode.d7.loss_cls: 0.7884, decode.d7.loss_mask: 0.7717, decode.d7.loss_dice: 1.1808, decode.d8.loss_cls: 0.7944, decode.d8.loss_mask: 0.7686, decode.d8.loss_dice: 1.1674, loss: 29.7156 2022-09-13 06:27:10,447 - mmseg - INFO - Iter [49150/80000] lr: 5.537e-07, eta: 16:35:30, time: 1.841, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7391, decode.loss_mask: 0.7548, decode.loss_dice: 1.1515, decode.d0.loss_cls: 2.4869, decode.d0.loss_mask: 0.7702, decode.d0.loss_dice: 1.3361, decode.d1.loss_cls: 0.8205, decode.d1.loss_mask: 0.7881, decode.d1.loss_dice: 1.2514, decode.d2.loss_cls: 0.7725, decode.d2.loss_mask: 0.7716, decode.d2.loss_dice: 1.2015, decode.d3.loss_cls: 0.7520, decode.d3.loss_mask: 0.7669, decode.d3.loss_dice: 1.1732, decode.d4.loss_cls: 0.7539, decode.d4.loss_mask: 0.7651, decode.d4.loss_dice: 1.1696, decode.d5.loss_cls: 0.7416, decode.d5.loss_mask: 0.7591, decode.d5.loss_dice: 1.1654, decode.d6.loss_cls: 0.7356, decode.d6.loss_mask: 0.7571, decode.d6.loss_dice: 1.1553, decode.d7.loss_cls: 0.7389, decode.d7.loss_mask: 0.7523, decode.d7.loss_dice: 1.1546, decode.d8.loss_cls: 0.7382, decode.d8.loss_mask: 0.7542, decode.d8.loss_dice: 1.1535, loss: 28.8305 2022-09-13 06:28:44,526 - mmseg - INFO - Iter [49200/80000] lr: 5.528e-07, eta: 16:33:52, time: 1.881, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7583, decode.loss_mask: 0.7553, decode.loss_dice: 1.1359, decode.d0.loss_cls: 2.4865, decode.d0.loss_mask: 0.7652, decode.d0.loss_dice: 1.3122, decode.d1.loss_cls: 0.8380, decode.d1.loss_mask: 0.7873, decode.d1.loss_dice: 1.2267, decode.d2.loss_cls: 0.7897, decode.d2.loss_mask: 0.7705, decode.d2.loss_dice: 1.1847, decode.d3.loss_cls: 0.7792, decode.d3.loss_mask: 0.7574, decode.d3.loss_dice: 1.1564, decode.d4.loss_cls: 0.7718, decode.d4.loss_mask: 0.7582, decode.d4.loss_dice: 1.1612, decode.d5.loss_cls: 0.7710, decode.d5.loss_mask: 0.7568, decode.d5.loss_dice: 1.1525, decode.d6.loss_cls: 0.7668, decode.d6.loss_mask: 0.7516, decode.d6.loss_dice: 1.1367, decode.d7.loss_cls: 0.7633, decode.d7.loss_mask: 0.7490, decode.d7.loss_dice: 1.1356, decode.d8.loss_cls: 0.7573, decode.d8.loss_mask: 0.7559, decode.d8.loss_dice: 1.1320, loss: 28.8230 2022-09-13 06:30:17,387 - mmseg - INFO - Iter [49250/80000] lr: 5.519e-07, eta: 16:32:12, time: 1.857, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7393, decode.loss_mask: 0.7770, decode.loss_dice: 1.1559, decode.d0.loss_cls: 2.4612, decode.d0.loss_mask: 0.8001, decode.d0.loss_dice: 1.3434, decode.d1.loss_cls: 0.8104, decode.d1.loss_mask: 0.8122, decode.d1.loss_dice: 1.2500, decode.d2.loss_cls: 0.7626, decode.d2.loss_mask: 0.7974, decode.d2.loss_dice: 1.2005, decode.d3.loss_cls: 0.7510, decode.d3.loss_mask: 0.7897, decode.d3.loss_dice: 1.1842, decode.d4.loss_cls: 0.7509, decode.d4.loss_mask: 0.7866, decode.d4.loss_dice: 1.1808, decode.d5.loss_cls: 0.7441, decode.d5.loss_mask: 0.7842, decode.d5.loss_dice: 1.1772, decode.d6.loss_cls: 0.7434, decode.d6.loss_mask: 0.7795, decode.d6.loss_dice: 1.1641, decode.d7.loss_cls: 0.7362, decode.d7.loss_mask: 0.7773, decode.d7.loss_dice: 1.1633, decode.d8.loss_cls: 0.7393, decode.d8.loss_mask: 0.7755, decode.d8.loss_dice: 1.1644, loss: 29.1018 2022-09-13 06:31:51,307 - mmseg - INFO - Iter [49300/80000] lr: 5.510e-07, eta: 16:30:34, time: 1.879, data_time: 0.015, memory: 42763, decode.loss_cls: 0.8324, decode.loss_mask: 0.7540, decode.loss_dice: 1.1932, decode.d0.loss_cls: 2.6208, decode.d0.loss_mask: 0.7819, decode.d0.loss_dice: 1.3892, decode.d1.loss_cls: 0.9098, decode.d1.loss_mask: 0.7984, decode.d1.loss_dice: 1.2992, decode.d2.loss_cls: 0.8547, decode.d2.loss_mask: 0.7829, decode.d2.loss_dice: 1.2387, decode.d3.loss_cls: 0.8437, decode.d3.loss_mask: 0.7732, decode.d3.loss_dice: 1.2223, decode.d4.loss_cls: 0.8448, decode.d4.loss_mask: 0.7667, decode.d4.loss_dice: 1.2161, decode.d5.loss_cls: 0.8308, decode.d5.loss_mask: 0.7601, decode.d5.loss_dice: 1.2092, decode.d6.loss_cls: 0.8362, decode.d6.loss_mask: 0.7538, decode.d6.loss_dice: 1.1966, decode.d7.loss_cls: 0.8319, decode.d7.loss_mask: 0.7565, decode.d7.loss_dice: 1.2000, decode.d8.loss_cls: 0.8315, decode.d8.loss_mask: 0.7544, decode.d8.loss_dice: 1.1952, loss: 30.2782 2022-09-13 06:33:24,781 - mmseg - INFO - Iter [49350/80000] lr: 5.501e-07, eta: 16:28:55, time: 1.869, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8105, decode.loss_mask: 0.7541, decode.loss_dice: 1.2036, decode.d0.loss_cls: 2.5873, decode.d0.loss_mask: 0.7746, decode.d0.loss_dice: 1.4039, decode.d1.loss_cls: 0.8921, decode.d1.loss_mask: 0.7886, decode.d1.loss_dice: 1.3026, decode.d2.loss_cls: 0.8389, decode.d2.loss_mask: 0.7649, decode.d2.loss_dice: 1.2481, decode.d3.loss_cls: 0.8256, decode.d3.loss_mask: 0.7652, decode.d3.loss_dice: 1.2201, decode.d4.loss_cls: 0.8167, decode.d4.loss_mask: 0.7632, decode.d4.loss_dice: 1.2194, decode.d5.loss_cls: 0.8113, decode.d5.loss_mask: 0.7610, decode.d5.loss_dice: 1.2153, decode.d6.loss_cls: 0.8109, decode.d6.loss_mask: 0.7515, decode.d6.loss_dice: 1.2101, decode.d7.loss_cls: 0.8086, decode.d7.loss_mask: 0.7539, decode.d7.loss_dice: 1.2063, decode.d8.loss_cls: 0.8048, decode.d8.loss_mask: 0.7559, decode.d8.loss_dice: 1.2022, loss: 30.0709 2022-09-13 06:34:56,885 - mmseg - INFO - Iter [49400/80000] lr: 5.492e-07, eta: 16:27:15, time: 1.842, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7697, decode.loss_mask: 0.7798, decode.loss_dice: 1.1792, decode.d0.loss_cls: 2.5380, decode.d0.loss_mask: 0.7956, decode.d0.loss_dice: 1.3615, decode.d1.loss_cls: 0.8550, decode.d1.loss_mask: 0.8062, decode.d1.loss_dice: 1.2720, decode.d2.loss_cls: 0.8063, decode.d2.loss_mask: 0.7929, decode.d2.loss_dice: 1.2242, decode.d3.loss_cls: 0.7861, decode.d3.loss_mask: 0.7902, decode.d3.loss_dice: 1.2047, decode.d4.loss_cls: 0.7880, decode.d4.loss_mask: 0.7861, decode.d4.loss_dice: 1.2019, decode.d5.loss_cls: 0.7824, decode.d5.loss_mask: 0.7827, decode.d5.loss_dice: 1.1878, decode.d6.loss_cls: 0.7863, decode.d6.loss_mask: 0.7757, decode.d6.loss_dice: 1.1845, decode.d7.loss_cls: 0.7735, decode.d7.loss_mask: 0.7775, decode.d7.loss_dice: 1.1873, decode.d8.loss_cls: 0.7719, decode.d8.loss_mask: 0.7785, decode.d8.loss_dice: 1.1865, loss: 29.7117 2022-09-13 06:36:28,940 - mmseg - INFO - Iter [49450/80000] lr: 5.483e-07, eta: 16:25:35, time: 1.841, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7686, decode.loss_mask: 0.7403, decode.loss_dice: 1.1520, decode.d0.loss_cls: 2.5028, decode.d0.loss_mask: 0.7566, decode.d0.loss_dice: 1.3419, decode.d1.loss_cls: 0.8513, decode.d1.loss_mask: 0.7833, decode.d1.loss_dice: 1.2598, decode.d2.loss_cls: 0.7979, decode.d2.loss_mask: 0.7629, decode.d2.loss_dice: 1.2065, decode.d3.loss_cls: 0.7771, decode.d3.loss_mask: 0.7556, decode.d3.loss_dice: 1.1813, decode.d4.loss_cls: 0.7732, decode.d4.loss_mask: 0.7505, decode.d4.loss_dice: 1.1786, decode.d5.loss_cls: 0.7672, decode.d5.loss_mask: 0.7489, decode.d5.loss_dice: 1.1709, decode.d6.loss_cls: 0.7711, decode.d6.loss_mask: 0.7384, decode.d6.loss_dice: 1.1633, decode.d7.loss_cls: 0.7685, decode.d7.loss_mask: 0.7424, decode.d7.loss_dice: 1.1611, decode.d8.loss_cls: 0.7712, decode.d8.loss_mask: 0.7416, decode.d8.loss_dice: 1.1504, loss: 29.0352 2022-09-13 06:38:02,694 - mmseg - INFO - Iter [49500/80000] lr: 5.474e-07, eta: 16:23:57, time: 1.873, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7831, decode.loss_mask: 0.7272, decode.loss_dice: 1.1480, decode.d0.loss_cls: 2.5213, decode.d0.loss_mask: 0.7473, decode.d0.loss_dice: 1.3410, decode.d1.loss_cls: 0.8487, decode.d1.loss_mask: 0.7640, decode.d1.loss_dice: 1.2514, decode.d2.loss_cls: 0.8025, decode.d2.loss_mask: 0.7465, decode.d2.loss_dice: 1.2005, decode.d3.loss_cls: 0.7914, decode.d3.loss_mask: 0.7409, decode.d3.loss_dice: 1.1820, decode.d4.loss_cls: 0.7838, decode.d4.loss_mask: 0.7386, decode.d4.loss_dice: 1.1687, decode.d5.loss_cls: 0.7872, decode.d5.loss_mask: 0.7334, decode.d5.loss_dice: 1.1602, decode.d6.loss_cls: 0.7855, decode.d6.loss_mask: 0.7258, decode.d6.loss_dice: 1.1476, decode.d7.loss_cls: 0.7784, decode.d7.loss_mask: 0.7264, decode.d7.loss_dice: 1.1519, decode.d8.loss_cls: 0.7757, decode.d8.loss_mask: 0.7263, decode.d8.loss_dice: 1.1538, loss: 28.9390 2022-09-13 06:39:35,827 - mmseg - INFO - Iter [49550/80000] lr: 5.465e-07, eta: 16:22:18, time: 1.864, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7912, decode.loss_mask: 0.7673, decode.loss_dice: 1.1704, decode.d0.loss_cls: 2.5425, decode.d0.loss_mask: 0.7889, decode.d0.loss_dice: 1.3631, decode.d1.loss_cls: 0.8674, decode.d1.loss_mask: 0.8018, decode.d1.loss_dice: 1.2686, decode.d2.loss_cls: 0.8187, decode.d2.loss_mask: 0.7865, decode.d2.loss_dice: 1.2172, decode.d3.loss_cls: 0.7970, decode.d3.loss_mask: 0.7738, decode.d3.loss_dice: 1.2013, decode.d4.loss_cls: 0.7996, decode.d4.loss_mask: 0.7713, decode.d4.loss_dice: 1.1910, decode.d5.loss_cls: 0.7941, decode.d5.loss_mask: 0.7734, decode.d5.loss_dice: 1.1843, decode.d6.loss_cls: 0.7855, decode.d6.loss_mask: 0.7691, decode.d6.loss_dice: 1.1737, decode.d7.loss_cls: 0.7902, decode.d7.loss_mask: 0.7632, decode.d7.loss_dice: 1.1664, decode.d8.loss_cls: 0.7845, decode.d8.loss_mask: 0.7664, decode.d8.loss_dice: 1.1713, loss: 29.6396 2022-09-13 06:41:09,102 - mmseg - INFO - Iter [49600/80000] lr: 5.456e-07, eta: 16:20:39, time: 1.865, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7649, decode.loss_mask: 0.7363, decode.loss_dice: 1.1591, decode.d0.loss_cls: 2.5205, decode.d0.loss_mask: 0.7532, decode.d0.loss_dice: 1.3505, decode.d1.loss_cls: 0.8456, decode.d1.loss_mask: 0.7559, decode.d1.loss_dice: 1.2491, decode.d2.loss_cls: 0.7839, decode.d2.loss_mask: 0.7466, decode.d2.loss_dice: 1.2001, decode.d3.loss_cls: 0.7764, decode.d3.loss_mask: 0.7398, decode.d3.loss_dice: 1.1794, decode.d4.loss_cls: 0.7716, decode.d4.loss_mask: 0.7367, decode.d4.loss_dice: 1.1715, decode.d5.loss_cls: 0.7705, decode.d5.loss_mask: 0.7360, decode.d5.loss_dice: 1.1679, decode.d6.loss_cls: 0.7699, decode.d6.loss_mask: 0.7352, decode.d6.loss_dice: 1.1557, decode.d7.loss_cls: 0.7719, decode.d7.loss_mask: 0.7374, decode.d7.loss_dice: 1.1620, decode.d8.loss_cls: 0.7625, decode.d8.loss_mask: 0.7391, decode.d8.loss_dice: 1.1527, loss: 28.9019 2022-09-13 06:42:40,907 - mmseg - INFO - Iter [49650/80000] lr: 5.447e-07, eta: 16:18:59, time: 1.836, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7668, decode.loss_mask: 0.7461, decode.loss_dice: 1.1508, decode.d0.loss_cls: 2.4964, decode.d0.loss_mask: 0.7641, decode.d0.loss_dice: 1.3332, decode.d1.loss_cls: 0.8420, decode.d1.loss_mask: 0.7724, decode.d1.loss_dice: 1.2386, decode.d2.loss_cls: 0.7956, decode.d2.loss_mask: 0.7595, decode.d2.loss_dice: 1.1864, decode.d3.loss_cls: 0.7813, decode.d3.loss_mask: 0.7573, decode.d3.loss_dice: 1.1689, decode.d4.loss_cls: 0.7782, decode.d4.loss_mask: 0.7557, decode.d4.loss_dice: 1.1658, decode.d5.loss_cls: 0.7684, decode.d5.loss_mask: 0.7508, decode.d5.loss_dice: 1.1652, decode.d6.loss_cls: 0.7716, decode.d6.loss_mask: 0.7465, decode.d6.loss_dice: 1.1454, decode.d7.loss_cls: 0.7689, decode.d7.loss_mask: 0.7496, decode.d7.loss_dice: 1.1477, decode.d8.loss_cls: 0.7625, decode.d8.loss_mask: 0.7484, decode.d8.loss_dice: 1.1489, loss: 28.9327 2022-09-13 06:44:13,736 - mmseg - INFO - Iter [49700/80000] lr: 5.438e-07, eta: 16:17:20, time: 1.856, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7714, decode.loss_mask: 0.7514, decode.loss_dice: 1.1585, decode.d0.loss_cls: 2.5311, decode.d0.loss_mask: 0.7626, decode.d0.loss_dice: 1.3531, decode.d1.loss_cls: 0.8551, decode.d1.loss_mask: 0.7814, decode.d1.loss_dice: 1.2539, decode.d2.loss_cls: 0.7979, decode.d2.loss_mask: 0.7660, decode.d2.loss_dice: 1.2084, decode.d3.loss_cls: 0.7909, decode.d3.loss_mask: 0.7618, decode.d3.loss_dice: 1.1810, decode.d4.loss_cls: 0.7832, decode.d4.loss_mask: 0.7604, decode.d4.loss_dice: 1.1744, decode.d5.loss_cls: 0.7741, decode.d5.loss_mask: 0.7583, decode.d5.loss_dice: 1.1763, decode.d6.loss_cls: 0.7763, decode.d6.loss_mask: 0.7535, decode.d6.loss_dice: 1.1565, decode.d7.loss_cls: 0.7680, decode.d7.loss_mask: 0.7506, decode.d7.loss_dice: 1.1561, decode.d8.loss_cls: 0.7716, decode.d8.loss_mask: 0.7533, decode.d8.loss_dice: 1.1562, loss: 29.1935 2022-09-13 06:45:46,244 - mmseg - INFO - Iter [49750/80000] lr: 5.429e-07, eta: 16:15:40, time: 1.847, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7555, decode.loss_mask: 0.7557, decode.loss_dice: 1.1835, decode.d0.loss_cls: 2.5387, decode.d0.loss_mask: 0.7721, decode.d0.loss_dice: 1.3764, decode.d1.loss_cls: 0.8487, decode.d1.loss_mask: 0.7872, decode.d1.loss_dice: 1.2795, decode.d2.loss_cls: 0.7901, decode.d2.loss_mask: 0.7720, decode.d2.loss_dice: 1.2267, decode.d3.loss_cls: 0.7728, decode.d3.loss_mask: 0.7651, decode.d3.loss_dice: 1.2110, decode.d4.loss_cls: 0.7657, decode.d4.loss_mask: 0.7621, decode.d4.loss_dice: 1.1969, decode.d5.loss_cls: 0.7637, decode.d5.loss_mask: 0.7559, decode.d5.loss_dice: 1.1960, decode.d6.loss_cls: 0.7586, decode.d6.loss_mask: 0.7575, decode.d6.loss_dice: 1.1760, decode.d7.loss_cls: 0.7551, decode.d7.loss_mask: 0.7554, decode.d7.loss_dice: 1.1753, decode.d8.loss_cls: 0.7545, decode.d8.loss_mask: 0.7554, decode.d8.loss_dice: 1.1834, loss: 29.3465 2022-09-13 06:47:18,887 - mmseg - INFO - Iter [49800/80000] lr: 5.420e-07, eta: 16:14:01, time: 1.856, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7962, decode.loss_mask: 0.7610, decode.loss_dice: 1.1799, decode.d0.loss_cls: 2.5180, decode.d0.loss_mask: 0.7736, decode.d0.loss_dice: 1.3553, decode.d1.loss_cls: 0.8629, decode.d1.loss_mask: 0.7914, decode.d1.loss_dice: 1.2719, decode.d2.loss_cls: 0.8124, decode.d2.loss_mask: 0.7830, decode.d2.loss_dice: 1.2300, decode.d3.loss_cls: 0.8062, decode.d3.loss_mask: 0.7677, decode.d3.loss_dice: 1.2056, decode.d4.loss_cls: 0.8046, decode.d4.loss_mask: 0.7645, decode.d4.loss_dice: 1.1961, decode.d5.loss_cls: 0.7965, decode.d5.loss_mask: 0.7686, decode.d5.loss_dice: 1.1979, decode.d6.loss_cls: 0.7925, decode.d6.loss_mask: 0.7619, decode.d6.loss_dice: 1.1868, decode.d7.loss_cls: 0.7919, decode.d7.loss_mask: 0.7621, decode.d7.loss_dice: 1.1856, decode.d8.loss_cls: 0.7889, decode.d8.loss_mask: 0.7621, decode.d8.loss_dice: 1.1844, loss: 29.6597 2022-09-13 06:48:51,119 - mmseg - INFO - Iter [49850/80000] lr: 5.411e-07, eta: 16:12:22, time: 1.844, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7993, decode.loss_mask: 0.7686, decode.loss_dice: 1.1799, decode.d0.loss_cls: 2.5622, decode.d0.loss_mask: 0.7881, decode.d0.loss_dice: 1.3772, decode.d1.loss_cls: 0.8638, decode.d1.loss_mask: 0.7971, decode.d1.loss_dice: 1.2774, decode.d2.loss_cls: 0.8208, decode.d2.loss_mask: 0.7841, decode.d2.loss_dice: 1.2279, decode.d3.loss_cls: 0.8089, decode.d3.loss_mask: 0.7798, decode.d3.loss_dice: 1.2146, decode.d4.loss_cls: 0.8058, decode.d4.loss_mask: 0.7752, decode.d4.loss_dice: 1.2024, decode.d5.loss_cls: 0.8034, decode.d5.loss_mask: 0.7727, decode.d5.loss_dice: 1.1955, decode.d6.loss_cls: 0.7963, decode.d6.loss_mask: 0.7698, decode.d6.loss_dice: 1.1956, decode.d7.loss_cls: 0.7938, decode.d7.loss_mask: 0.7720, decode.d7.loss_dice: 1.1952, decode.d8.loss_cls: 0.7953, decode.d8.loss_mask: 0.7669, decode.d8.loss_dice: 1.1901, loss: 29.8797 2022-09-13 06:50:24,428 - mmseg - INFO - Iter [49900/80000] lr: 5.402e-07, eta: 16:10:43, time: 1.867, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7422, decode.loss_mask: 0.7617, decode.loss_dice: 1.1472, decode.d0.loss_cls: 2.4940, decode.d0.loss_mask: 0.7728, decode.d0.loss_dice: 1.3365, decode.d1.loss_cls: 0.8247, decode.d1.loss_mask: 0.7939, decode.d1.loss_dice: 1.2422, decode.d2.loss_cls: 0.7739, decode.d2.loss_mask: 0.7701, decode.d2.loss_dice: 1.1896, decode.d3.loss_cls: 0.7574, decode.d3.loss_mask: 0.7680, decode.d3.loss_dice: 1.1681, decode.d4.loss_cls: 0.7481, decode.d4.loss_mask: 0.7653, decode.d4.loss_dice: 1.1617, decode.d5.loss_cls: 0.7449, decode.d5.loss_mask: 0.7637, decode.d5.loss_dice: 1.1593, decode.d6.loss_cls: 0.7378, decode.d6.loss_mask: 0.7639, decode.d6.loss_dice: 1.1530, decode.d7.loss_cls: 0.7361, decode.d7.loss_mask: 0.7625, decode.d7.loss_dice: 1.1524, decode.d8.loss_cls: 0.7348, decode.d8.loss_mask: 0.7595, decode.d8.loss_dice: 1.1560, loss: 28.8415 2022-09-13 06:51:57,597 - mmseg - INFO - Iter [49950/80000] lr: 5.393e-07, eta: 16:09:04, time: 1.863, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7899, decode.loss_mask: 0.7778, decode.loss_dice: 1.1764, decode.d0.loss_cls: 2.5111, decode.d0.loss_mask: 0.7947, decode.d0.loss_dice: 1.3678, decode.d1.loss_cls: 0.8660, decode.d1.loss_mask: 0.8074, decode.d1.loss_dice: 1.2739, decode.d2.loss_cls: 0.8245, decode.d2.loss_mask: 0.7883, decode.d2.loss_dice: 1.2183, decode.d3.loss_cls: 0.8127, decode.d3.loss_mask: 0.7890, decode.d3.loss_dice: 1.1950, decode.d4.loss_cls: 0.8017, decode.d4.loss_mask: 0.7861, decode.d4.loss_dice: 1.1997, decode.d5.loss_cls: 0.7958, decode.d5.loss_mask: 0.7752, decode.d5.loss_dice: 1.1862, decode.d6.loss_cls: 0.7904, decode.d6.loss_mask: 0.7781, decode.d6.loss_dice: 1.1843, decode.d7.loss_cls: 0.7909, decode.d7.loss_mask: 0.7797, decode.d7.loss_dice: 1.1829, decode.d8.loss_cls: 0.7822, decode.d8.loss_mask: 0.7806, decode.d8.loss_dice: 1.1879, loss: 29.7943 2022-09-13 06:53:29,592 - mmseg - INFO - Saving checkpoint at 50000 iterations 2022-09-13 06:53:59,105 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 06:53:59,112 - mmseg - INFO - Iter [50000/80000] lr: 5.384e-07, eta: 16:07:42, time: 2.428, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7934, decode.loss_mask: 0.7765, decode.loss_dice: 1.1556, decode.d0.loss_cls: 2.5662, decode.d0.loss_mask: 0.8037, decode.d0.loss_dice: 1.3677, decode.d1.loss_cls: 0.8709, decode.d1.loss_mask: 0.8120, decode.d1.loss_dice: 1.2599, decode.d2.loss_cls: 0.8229, decode.d2.loss_mask: 0.7966, decode.d2.loss_dice: 1.2047, decode.d3.loss_cls: 0.8061, decode.d3.loss_mask: 0.7900, decode.d3.loss_dice: 1.1774, decode.d4.loss_cls: 0.8029, decode.d4.loss_mask: 0.7875, decode.d4.loss_dice: 1.1787, decode.d5.loss_cls: 0.7878, decode.d5.loss_mask: 0.7891, decode.d5.loss_dice: 1.1768, decode.d6.loss_cls: 0.7978, decode.d6.loss_mask: 0.7838, decode.d6.loss_dice: 1.1595, decode.d7.loss_cls: 0.7884, decode.d7.loss_mask: 0.7791, decode.d7.loss_dice: 1.1614, decode.d8.loss_cls: 0.7880, decode.d8.loss_mask: 0.7780, decode.d8.loss_dice: 1.1637, loss: 29.7261 2022-09-13 06:55:31,702 - mmseg - INFO - Iter [50050/80000] lr: 5.375e-07, eta: 16:06:03, time: 1.854, data_time: 0.019, memory: 42763, decode.loss_cls: 0.7502, decode.loss_mask: 0.7944, decode.loss_dice: 1.1792, decode.d0.loss_cls: 2.4706, decode.d0.loss_mask: 0.8042, decode.d0.loss_dice: 1.3647, decode.d1.loss_cls: 0.8454, decode.d1.loss_mask: 0.8159, decode.d1.loss_dice: 1.2719, decode.d2.loss_cls: 0.7873, decode.d2.loss_mask: 0.8090, decode.d2.loss_dice: 1.2222, decode.d3.loss_cls: 0.7799, decode.d3.loss_mask: 0.7931, decode.d3.loss_dice: 1.2055, decode.d4.loss_cls: 0.7717, decode.d4.loss_mask: 0.7901, decode.d4.loss_dice: 1.2039, decode.d5.loss_cls: 0.7612, decode.d5.loss_mask: 0.7957, decode.d5.loss_dice: 1.1921, decode.d6.loss_cls: 0.7525, decode.d6.loss_mask: 0.7946, decode.d6.loss_dice: 1.1825, decode.d7.loss_cls: 0.7485, decode.d7.loss_mask: 0.7919, decode.d7.loss_dice: 1.1860, decode.d8.loss_cls: 0.7492, decode.d8.loss_mask: 0.7945, decode.d8.loss_dice: 1.1886, loss: 29.5964 2022-09-13 06:57:04,830 - mmseg - INFO - Iter [50100/80000] lr: 5.366e-07, eta: 16:04:24, time: 1.862, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8053, decode.loss_mask: 0.7666, decode.loss_dice: 1.2084, decode.d0.loss_cls: 2.5131, decode.d0.loss_mask: 0.7808, decode.d0.loss_dice: 1.3913, decode.d1.loss_cls: 0.8857, decode.d1.loss_mask: 0.8015, decode.d1.loss_dice: 1.2967, decode.d2.loss_cls: 0.8351, decode.d2.loss_mask: 0.7902, decode.d2.loss_dice: 1.2481, decode.d3.loss_cls: 0.8188, decode.d3.loss_mask: 0.7804, decode.d3.loss_dice: 1.2178, decode.d4.loss_cls: 0.8132, decode.d4.loss_mask: 0.7761, decode.d4.loss_dice: 1.2195, decode.d5.loss_cls: 0.8059, decode.d5.loss_mask: 0.7759, decode.d5.loss_dice: 1.2154, decode.d6.loss_cls: 0.8037, decode.d6.loss_mask: 0.7715, decode.d6.loss_dice: 1.2053, decode.d7.loss_cls: 0.8080, decode.d7.loss_mask: 0.7684, decode.d7.loss_dice: 1.2041, decode.d8.loss_cls: 0.7989, decode.d8.loss_mask: 0.7725, decode.d8.loss_dice: 1.2054, loss: 30.0838 2022-09-13 06:58:36,670 - mmseg - INFO - Iter [50150/80000] lr: 5.357e-07, eta: 16:02:44, time: 1.837, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7411, decode.loss_mask: 0.7675, decode.loss_dice: 1.1449, decode.d0.loss_cls: 2.4240, decode.d0.loss_mask: 0.7751, decode.d0.loss_dice: 1.3215, decode.d1.loss_cls: 0.8084, decode.d1.loss_mask: 0.7979, decode.d1.loss_dice: 1.2304, decode.d2.loss_cls: 0.7675, decode.d2.loss_mask: 0.7782, decode.d2.loss_dice: 1.1881, decode.d3.loss_cls: 0.7506, decode.d3.loss_mask: 0.7754, decode.d3.loss_dice: 1.1708, decode.d4.loss_cls: 0.7490, decode.d4.loss_mask: 0.7701, decode.d4.loss_dice: 1.1656, decode.d5.loss_cls: 0.7475, decode.d5.loss_mask: 0.7692, decode.d5.loss_dice: 1.1592, decode.d6.loss_cls: 0.7414, decode.d6.loss_mask: 0.7648, decode.d6.loss_dice: 1.1481, decode.d7.loss_cls: 0.7381, decode.d7.loss_mask: 0.7693, decode.d7.loss_dice: 1.1490, decode.d8.loss_cls: 0.7365, decode.d8.loss_mask: 0.7677, decode.d8.loss_dice: 1.1490, loss: 28.7658 2022-09-13 07:00:09,591 - mmseg - INFO - Iter [50200/80000] lr: 5.349e-07, eta: 16:01:05, time: 1.858, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7997, decode.loss_mask: 0.7785, decode.loss_dice: 1.1810, decode.d0.loss_cls: 2.6041, decode.d0.loss_mask: 0.7985, decode.d0.loss_dice: 1.3890, decode.d1.loss_cls: 0.8758, decode.d1.loss_mask: 0.8099, decode.d1.loss_dice: 1.2816, decode.d2.loss_cls: 0.8234, decode.d2.loss_mask: 0.7911, decode.d2.loss_dice: 1.2372, decode.d3.loss_cls: 0.8218, decode.d3.loss_mask: 0.7884, decode.d3.loss_dice: 1.2145, decode.d4.loss_cls: 0.8069, decode.d4.loss_mask: 0.7854, decode.d4.loss_dice: 1.2048, decode.d5.loss_cls: 0.8076, decode.d5.loss_mask: 0.7856, decode.d5.loss_dice: 1.1996, decode.d6.loss_cls: 0.8011, decode.d6.loss_mask: 0.7787, decode.d6.loss_dice: 1.1925, decode.d7.loss_cls: 0.7992, decode.d7.loss_mask: 0.7776, decode.d7.loss_dice: 1.1858, decode.d8.loss_cls: 0.7954, decode.d8.loss_mask: 0.7792, decode.d8.loss_dice: 1.1868, loss: 30.0808 2022-09-13 07:01:41,077 - mmseg - INFO - Iter [50250/80000] lr: 5.340e-07, eta: 15:59:25, time: 1.830, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8231, decode.loss_mask: 0.7518, decode.loss_dice: 1.1907, decode.d0.loss_cls: 2.5935, decode.d0.loss_mask: 0.7692, decode.d0.loss_dice: 1.3754, decode.d1.loss_cls: 0.8874, decode.d1.loss_mask: 0.7831, decode.d1.loss_dice: 1.2799, decode.d2.loss_cls: 0.8387, decode.d2.loss_mask: 0.7668, decode.d2.loss_dice: 1.2332, decode.d3.loss_cls: 0.8315, decode.d3.loss_mask: 0.7628, decode.d3.loss_dice: 1.2062, decode.d4.loss_cls: 0.8253, decode.d4.loss_mask: 0.7578, decode.d4.loss_dice: 1.2105, decode.d5.loss_cls: 0.8260, decode.d5.loss_mask: 0.7508, decode.d5.loss_dice: 1.2034, decode.d6.loss_cls: 0.8247, decode.d6.loss_mask: 0.7470, decode.d6.loss_dice: 1.1980, decode.d7.loss_cls: 0.8210, decode.d7.loss_mask: 0.7521, decode.d7.loss_dice: 1.1956, decode.d8.loss_cls: 0.8178, decode.d8.loss_mask: 0.7504, decode.d8.loss_dice: 1.1925, loss: 29.9661 2022-09-13 07:03:13,760 - mmseg - INFO - Iter [50300/80000] lr: 5.331e-07, eta: 15:57:46, time: 1.854, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7760, decode.loss_mask: 0.7383, decode.loss_dice: 1.1769, decode.d0.loss_cls: 2.5221, decode.d0.loss_mask: 0.7597, decode.d0.loss_dice: 1.3671, decode.d1.loss_cls: 0.8460, decode.d1.loss_mask: 0.7733, decode.d1.loss_dice: 1.2703, decode.d2.loss_cls: 0.7949, decode.d2.loss_mask: 0.7540, decode.d2.loss_dice: 1.2200, decode.d3.loss_cls: 0.7827, decode.d3.loss_mask: 0.7472, decode.d3.loss_dice: 1.2056, decode.d4.loss_cls: 0.7777, decode.d4.loss_mask: 0.7447, decode.d4.loss_dice: 1.1968, decode.d5.loss_cls: 0.7724, decode.d5.loss_mask: 0.7432, decode.d5.loss_dice: 1.1910, decode.d6.loss_cls: 0.7717, decode.d6.loss_mask: 0.7402, decode.d6.loss_dice: 1.1851, decode.d7.loss_cls: 0.7698, decode.d7.loss_mask: 0.7414, decode.d7.loss_dice: 1.1818, decode.d8.loss_cls: 0.7698, decode.d8.loss_mask: 0.7366, decode.d8.loss_dice: 1.1789, loss: 29.2352 2022-09-13 07:04:45,908 - mmseg - INFO - Iter [50350/80000] lr: 5.322e-07, eta: 15:56:07, time: 1.843, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7249, decode.loss_mask: 0.7590, decode.loss_dice: 1.1451, decode.d0.loss_cls: 2.4776, decode.d0.loss_mask: 0.7733, decode.d0.loss_dice: 1.3211, decode.d1.loss_cls: 0.8061, decode.d1.loss_mask: 0.7922, decode.d1.loss_dice: 1.2340, decode.d2.loss_cls: 0.7491, decode.d2.loss_mask: 0.7800, decode.d2.loss_dice: 1.1820, decode.d3.loss_cls: 0.7386, decode.d3.loss_mask: 0.7746, decode.d3.loss_dice: 1.1601, decode.d4.loss_cls: 0.7345, decode.d4.loss_mask: 0.7704, decode.d4.loss_dice: 1.1525, decode.d5.loss_cls: 0.7329, decode.d5.loss_mask: 0.7650, decode.d5.loss_dice: 1.1537, decode.d6.loss_cls: 0.7251, decode.d6.loss_mask: 0.7616, decode.d6.loss_dice: 1.1396, decode.d7.loss_cls: 0.7261, decode.d7.loss_mask: 0.7584, decode.d7.loss_dice: 1.1410, decode.d8.loss_cls: 0.7255, decode.d8.loss_mask: 0.7633, decode.d8.loss_dice: 1.1440, loss: 28.6113 2022-09-13 07:06:19,005 - mmseg - INFO - Iter [50400/80000] lr: 5.313e-07, eta: 15:54:28, time: 1.862, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7914, decode.loss_mask: 0.7776, decode.loss_dice: 1.1892, decode.d0.loss_cls: 2.5383, decode.d0.loss_mask: 0.7970, decode.d0.loss_dice: 1.3807, decode.d1.loss_cls: 0.8760, decode.d1.loss_mask: 0.8061, decode.d1.loss_dice: 1.2781, decode.d2.loss_cls: 0.8212, decode.d2.loss_mask: 0.7941, decode.d2.loss_dice: 1.2275, decode.d3.loss_cls: 0.8163, decode.d3.loss_mask: 0.7933, decode.d3.loss_dice: 1.2093, decode.d4.loss_cls: 0.8119, decode.d4.loss_mask: 0.7859, decode.d4.loss_dice: 1.2046, decode.d5.loss_cls: 0.8004, decode.d5.loss_mask: 0.7826, decode.d5.loss_dice: 1.1970, decode.d6.loss_cls: 0.8006, decode.d6.loss_mask: 0.7761, decode.d6.loss_dice: 1.1841, decode.d7.loss_cls: 0.7982, decode.d7.loss_mask: 0.7774, decode.d7.loss_dice: 1.1851, decode.d8.loss_cls: 0.7996, decode.d8.loss_mask: 0.7787, decode.d8.loss_dice: 1.1837, loss: 29.9623 2022-09-13 07:07:51,731 - mmseg - INFO - Iter [50450/80000] lr: 5.304e-07, eta: 15:52:49, time: 1.855, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7854, decode.loss_mask: 0.7707, decode.loss_dice: 1.1915, decode.d0.loss_cls: 2.5501, decode.d0.loss_mask: 0.7816, decode.d0.loss_dice: 1.3860, decode.d1.loss_cls: 0.8592, decode.d1.loss_mask: 0.7914, decode.d1.loss_dice: 1.2869, decode.d2.loss_cls: 0.8105, decode.d2.loss_mask: 0.7870, decode.d2.loss_dice: 1.2342, decode.d3.loss_cls: 0.8020, decode.d3.loss_mask: 0.7786, decode.d3.loss_dice: 1.2177, decode.d4.loss_cls: 0.7945, decode.d4.loss_mask: 0.7788, decode.d4.loss_dice: 1.2117, decode.d5.loss_cls: 0.7854, decode.d5.loss_mask: 0.7786, decode.d5.loss_dice: 1.2196, decode.d6.loss_cls: 0.7829, decode.d6.loss_mask: 0.7741, decode.d6.loss_dice: 1.2035, decode.d7.loss_cls: 0.7819, decode.d7.loss_mask: 0.7707, decode.d7.loss_dice: 1.2040, decode.d8.loss_cls: 0.7800, decode.d8.loss_mask: 0.7685, decode.d8.loss_dice: 1.2001, loss: 29.8669 2022-09-13 07:09:24,268 - mmseg - INFO - Iter [50500/80000] lr: 5.295e-07, eta: 15:51:10, time: 1.851, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7635, decode.loss_mask: 0.7732, decode.loss_dice: 1.1615, decode.d0.loss_cls: 2.4941, decode.d0.loss_mask: 0.7941, decode.d0.loss_dice: 1.3489, decode.d1.loss_cls: 0.8433, decode.d1.loss_mask: 0.8036, decode.d1.loss_dice: 1.2578, decode.d2.loss_cls: 0.7899, decode.d2.loss_mask: 0.7936, decode.d2.loss_dice: 1.2024, decode.d3.loss_cls: 0.7742, decode.d3.loss_mask: 0.7866, decode.d3.loss_dice: 1.1908, decode.d4.loss_cls: 0.7763, decode.d4.loss_mask: 0.7828, decode.d4.loss_dice: 1.1809, decode.d5.loss_cls: 0.7685, decode.d5.loss_mask: 0.7805, decode.d5.loss_dice: 1.1791, decode.d6.loss_cls: 0.7662, decode.d6.loss_mask: 0.7767, decode.d6.loss_dice: 1.1638, decode.d7.loss_cls: 0.7614, decode.d7.loss_mask: 0.7764, decode.d7.loss_dice: 1.1680, decode.d8.loss_cls: 0.7617, decode.d8.loss_mask: 0.7761, decode.d8.loss_dice: 1.1664, loss: 29.3625 2022-09-13 07:10:56,608 - mmseg - INFO - Iter [50550/80000] lr: 5.286e-07, eta: 15:49:30, time: 1.847, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7823, decode.loss_mask: 0.7689, decode.loss_dice: 1.1520, decode.d0.loss_cls: 2.4830, decode.d0.loss_mask: 0.7923, decode.d0.loss_dice: 1.3320, decode.d1.loss_cls: 0.8547, decode.d1.loss_mask: 0.8025, decode.d1.loss_dice: 1.2398, decode.d2.loss_cls: 0.7985, decode.d2.loss_mask: 0.7841, decode.d2.loss_dice: 1.1980, decode.d3.loss_cls: 0.7911, decode.d3.loss_mask: 0.7741, decode.d3.loss_dice: 1.1755, decode.d4.loss_cls: 0.7871, decode.d4.loss_mask: 0.7768, decode.d4.loss_dice: 1.1677, decode.d5.loss_cls: 0.7840, decode.d5.loss_mask: 0.7769, decode.d5.loss_dice: 1.1557, decode.d6.loss_cls: 0.7790, decode.d6.loss_mask: 0.7706, decode.d6.loss_dice: 1.1448, decode.d7.loss_cls: 0.7778, decode.d7.loss_mask: 0.7719, decode.d7.loss_dice: 1.1503, decode.d8.loss_cls: 0.7798, decode.d8.loss_mask: 0.7729, decode.d8.loss_dice: 1.1523, loss: 29.2765 2022-09-13 07:12:29,157 - mmseg - INFO - Iter [50600/80000] lr: 5.277e-07, eta: 15:47:51, time: 1.850, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7630, decode.loss_mask: 0.7715, decode.loss_dice: 1.2053, decode.d0.loss_cls: 2.5026, decode.d0.loss_mask: 0.7900, decode.d0.loss_dice: 1.3960, decode.d1.loss_cls: 0.8520, decode.d1.loss_mask: 0.8033, decode.d1.loss_dice: 1.2895, decode.d2.loss_cls: 0.7989, decode.d2.loss_mask: 0.7826, decode.d2.loss_dice: 1.2540, decode.d3.loss_cls: 0.7760, decode.d3.loss_mask: 0.7792, decode.d3.loss_dice: 1.2277, decode.d4.loss_cls: 0.7819, decode.d4.loss_mask: 0.7755, decode.d4.loss_dice: 1.2186, decode.d5.loss_cls: 0.7680, decode.d5.loss_mask: 0.7758, decode.d5.loss_dice: 1.2186, decode.d6.loss_cls: 0.7632, decode.d6.loss_mask: 0.7768, decode.d6.loss_dice: 1.2120, decode.d7.loss_cls: 0.7579, decode.d7.loss_mask: 0.7773, decode.d7.loss_dice: 1.2082, decode.d8.loss_cls: 0.7581, decode.d8.loss_mask: 0.7735, decode.d8.loss_dice: 1.2130, loss: 29.7698 2022-09-13 07:14:00,631 - mmseg - INFO - Iter [50650/80000] lr: 5.268e-07, eta: 15:46:11, time: 1.830, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7587, decode.loss_mask: 0.7714, decode.loss_dice: 1.1959, decode.d0.loss_cls: 2.5481, decode.d0.loss_mask: 0.7786, decode.d0.loss_dice: 1.3700, decode.d1.loss_cls: 0.8377, decode.d1.loss_mask: 0.8019, decode.d1.loss_dice: 1.2902, decode.d2.loss_cls: 0.7853, decode.d2.loss_mask: 0.7937, decode.d2.loss_dice: 1.2392, decode.d3.loss_cls: 0.7768, decode.d3.loss_mask: 0.7815, decode.d3.loss_dice: 1.2164, decode.d4.loss_cls: 0.7668, decode.d4.loss_mask: 0.7819, decode.d4.loss_dice: 1.2161, decode.d5.loss_cls: 0.7654, decode.d5.loss_mask: 0.7779, decode.d5.loss_dice: 1.2086, decode.d6.loss_cls: 0.7647, decode.d6.loss_mask: 0.7709, decode.d6.loss_dice: 1.2000, decode.d7.loss_cls: 0.7554, decode.d7.loss_mask: 0.7749, decode.d7.loss_dice: 1.1988, decode.d8.loss_cls: 0.7531, decode.d8.loss_mask: 0.7727, decode.d8.loss_dice: 1.1977, loss: 29.6503 2022-09-13 07:15:33,094 - mmseg - INFO - Iter [50700/80000] lr: 5.259e-07, eta: 15:44:32, time: 1.850, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7934, decode.loss_mask: 0.7466, decode.loss_dice: 1.1816, decode.d0.loss_cls: 2.5663, decode.d0.loss_mask: 0.7643, decode.d0.loss_dice: 1.3957, decode.d1.loss_cls: 0.8672, decode.d1.loss_mask: 0.7804, decode.d1.loss_dice: 1.2823, decode.d2.loss_cls: 0.8170, decode.d2.loss_mask: 0.7668, decode.d2.loss_dice: 1.2315, decode.d3.loss_cls: 0.8118, decode.d3.loss_mask: 0.7619, decode.d3.loss_dice: 1.2054, decode.d4.loss_cls: 0.8072, decode.d4.loss_mask: 0.7607, decode.d4.loss_dice: 1.2050, decode.d5.loss_cls: 0.7973, decode.d5.loss_mask: 0.7606, decode.d5.loss_dice: 1.1984, decode.d6.loss_cls: 0.7952, decode.d6.loss_mask: 0.7484, decode.d6.loss_dice: 1.1899, decode.d7.loss_cls: 0.7892, decode.d7.loss_mask: 0.7458, decode.d7.loss_dice: 1.1859, decode.d8.loss_cls: 0.7938, decode.d8.loss_mask: 0.7431, decode.d8.loss_dice: 1.1855, loss: 29.6781 2022-09-13 07:17:05,198 - mmseg - INFO - Iter [50750/80000] lr: 5.250e-07, eta: 15:42:53, time: 1.842, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7562, decode.loss_mask: 0.7544, decode.loss_dice: 1.1525, decode.d0.loss_cls: 2.5260, decode.d0.loss_mask: 0.7711, decode.d0.loss_dice: 1.3230, decode.d1.loss_cls: 0.8283, decode.d1.loss_mask: 0.7824, decode.d1.loss_dice: 1.2309, decode.d2.loss_cls: 0.7852, decode.d2.loss_mask: 0.7692, decode.d2.loss_dice: 1.2003, decode.d3.loss_cls: 0.7730, decode.d3.loss_mask: 0.7626, decode.d3.loss_dice: 1.1801, decode.d4.loss_cls: 0.7605, decode.d4.loss_mask: 0.7584, decode.d4.loss_dice: 1.1708, decode.d5.loss_cls: 0.7644, decode.d5.loss_mask: 0.7588, decode.d5.loss_dice: 1.1651, decode.d6.loss_cls: 0.7540, decode.d6.loss_mask: 0.7547, decode.d6.loss_dice: 1.1543, decode.d7.loss_cls: 0.7522, decode.d7.loss_mask: 0.7558, decode.d7.loss_dice: 1.1538, decode.d8.loss_cls: 0.7527, decode.d8.loss_mask: 0.7561, decode.d8.loss_dice: 1.1587, loss: 28.9658 2022-09-13 07:18:38,191 - mmseg - INFO - Iter [50800/80000] lr: 5.241e-07, eta: 15:41:14, time: 1.858, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7429, decode.loss_mask: 0.7693, decode.loss_dice: 1.1412, decode.d0.loss_cls: 2.4902, decode.d0.loss_mask: 0.7945, decode.d0.loss_dice: 1.3285, decode.d1.loss_cls: 0.8175, decode.d1.loss_mask: 0.8037, decode.d1.loss_dice: 1.2317, decode.d2.loss_cls: 0.7719, decode.d2.loss_mask: 0.7904, decode.d2.loss_dice: 1.1933, decode.d3.loss_cls: 0.7585, decode.d3.loss_mask: 0.7845, decode.d3.loss_dice: 1.1648, decode.d4.loss_cls: 0.7522, decode.d4.loss_mask: 0.7815, decode.d4.loss_dice: 1.1664, decode.d5.loss_cls: 0.7483, decode.d5.loss_mask: 0.7803, decode.d5.loss_dice: 1.1620, decode.d6.loss_cls: 0.7381, decode.d6.loss_mask: 0.7770, decode.d6.loss_dice: 1.1499, decode.d7.loss_cls: 0.7324, decode.d7.loss_mask: 0.7795, decode.d7.loss_dice: 1.1492, decode.d8.loss_cls: 0.7372, decode.d8.loss_mask: 0.7705, decode.d8.loss_dice: 1.1441, loss: 28.9513 2022-09-13 07:20:10,985 - mmseg - INFO - Iter [50850/80000] lr: 5.232e-07, eta: 15:39:35, time: 1.858, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7946, decode.loss_mask: 0.7595, decode.loss_dice: 1.1803, decode.d0.loss_cls: 2.5856, decode.d0.loss_mask: 0.7700, decode.d0.loss_dice: 1.3788, decode.d1.loss_cls: 0.8773, decode.d1.loss_mask: 0.7953, decode.d1.loss_dice: 1.2749, decode.d2.loss_cls: 0.8149, decode.d2.loss_mask: 0.7781, decode.d2.loss_dice: 1.2233, decode.d3.loss_cls: 0.8050, decode.d3.loss_mask: 0.7709, decode.d3.loss_dice: 1.1953, decode.d4.loss_cls: 0.8026, decode.d4.loss_mask: 0.7681, decode.d4.loss_dice: 1.1935, decode.d5.loss_cls: 0.7981, decode.d5.loss_mask: 0.7654, decode.d5.loss_dice: 1.1903, decode.d6.loss_cls: 0.7931, decode.d6.loss_mask: 0.7628, decode.d6.loss_dice: 1.1830, decode.d7.loss_cls: 0.7993, decode.d7.loss_mask: 0.7614, decode.d7.loss_dice: 1.1844, decode.d8.loss_cls: 0.7920, decode.d8.loss_mask: 0.7600, decode.d8.loss_dice: 1.1803, loss: 29.7382 2022-09-13 07:21:43,316 - mmseg - INFO - Iter [50900/80000] lr: 5.223e-07, eta: 15:37:56, time: 1.845, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7796, decode.loss_mask: 0.7532, decode.loss_dice: 1.1693, decode.d0.loss_cls: 2.5445, decode.d0.loss_mask: 0.7705, decode.d0.loss_dice: 1.3551, decode.d1.loss_cls: 0.8546, decode.d1.loss_mask: 0.7874, decode.d1.loss_dice: 1.2734, decode.d2.loss_cls: 0.8103, decode.d2.loss_mask: 0.7674, decode.d2.loss_dice: 1.2227, decode.d3.loss_cls: 0.7951, decode.d3.loss_mask: 0.7610, decode.d3.loss_dice: 1.1982, decode.d4.loss_cls: 0.7868, decode.d4.loss_mask: 0.7623, decode.d4.loss_dice: 1.1854, decode.d5.loss_cls: 0.7817, decode.d5.loss_mask: 0.7606, decode.d5.loss_dice: 1.1846, decode.d6.loss_cls: 0.7820, decode.d6.loss_mask: 0.7559, decode.d6.loss_dice: 1.1768, decode.d7.loss_cls: 0.7753, decode.d7.loss_mask: 0.7572, decode.d7.loss_dice: 1.1767, decode.d8.loss_cls: 0.7783, decode.d8.loss_mask: 0.7533, decode.d8.loss_dice: 1.1728, loss: 29.4318 2022-09-13 07:23:16,094 - mmseg - INFO - Iter [50950/80000] lr: 5.214e-07, eta: 15:36:17, time: 1.857, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7654, decode.loss_mask: 0.7650, decode.loss_dice: 1.1760, decode.d0.loss_cls: 2.5406, decode.d0.loss_mask: 0.7739, decode.d0.loss_dice: 1.3587, decode.d1.loss_cls: 0.8460, decode.d1.loss_mask: 0.7910, decode.d1.loss_dice: 1.2618, decode.d2.loss_cls: 0.8014, decode.d2.loss_mask: 0.7772, decode.d2.loss_dice: 1.2052, decode.d3.loss_cls: 0.7792, decode.d3.loss_mask: 0.7700, decode.d3.loss_dice: 1.1939, decode.d4.loss_cls: 0.7729, decode.d4.loss_mask: 0.7713, decode.d4.loss_dice: 1.1867, decode.d5.loss_cls: 0.7645, decode.d5.loss_mask: 0.7677, decode.d5.loss_dice: 1.1877, decode.d6.loss_cls: 0.7593, decode.d6.loss_mask: 0.7637, decode.d6.loss_dice: 1.1768, decode.d7.loss_cls: 0.7582, decode.d7.loss_mask: 0.7642, decode.d7.loss_dice: 1.1737, decode.d8.loss_cls: 0.7580, decode.d8.loss_mask: 0.7646, decode.d8.loss_dice: 1.1785, loss: 29.3531 2022-09-13 07:24:50,186 - mmseg - INFO - Saving checkpoint at 51000 iterations 2022-09-13 07:25:22,165 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 07:25:22,167 - mmseg - INFO - Iter [51000/80000] lr: 5.205e-07, eta: 15:34:57, time: 2.519, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7777, decode.loss_mask: 0.7657, decode.loss_dice: 1.1827, decode.d0.loss_cls: 2.5195, decode.d0.loss_mask: 0.7840, decode.d0.loss_dice: 1.3738, decode.d1.loss_cls: 0.8573, decode.d1.loss_mask: 0.7877, decode.d1.loss_dice: 1.2730, decode.d2.loss_cls: 0.8055, decode.d2.loss_mask: 0.7771, decode.d2.loss_dice: 1.2264, decode.d3.loss_cls: 0.7943, decode.d3.loss_mask: 0.7710, decode.d3.loss_dice: 1.2035, decode.d4.loss_cls: 0.7829, decode.d4.loss_mask: 0.7667, decode.d4.loss_dice: 1.1965, decode.d5.loss_cls: 0.7782, decode.d5.loss_mask: 0.7694, decode.d5.loss_dice: 1.1940, decode.d6.loss_cls: 0.7770, decode.d6.loss_mask: 0.7653, decode.d6.loss_dice: 1.1875, decode.d7.loss_cls: 0.7745, decode.d7.loss_mask: 0.7677, decode.d7.loss_dice: 1.1905, decode.d8.loss_cls: 0.7743, decode.d8.loss_mask: 0.7669, decode.d8.loss_dice: 1.1897, loss: 29.5804 2022-09-13 07:26:54,890 - mmseg - INFO - Iter [51050/80000] lr: 5.196e-07, eta: 15:33:18, time: 1.857, data_time: 0.018, memory: 42763, decode.loss_cls: 0.8146, decode.loss_mask: 0.7611, decode.loss_dice: 1.1900, decode.d0.loss_cls: 2.6043, decode.d0.loss_mask: 0.7811, decode.d0.loss_dice: 1.3974, decode.d1.loss_cls: 0.8976, decode.d1.loss_mask: 0.7956, decode.d1.loss_dice: 1.2903, decode.d2.loss_cls: 0.8511, decode.d2.loss_mask: 0.7807, decode.d2.loss_dice: 1.2389, decode.d3.loss_cls: 0.8347, decode.d3.loss_mask: 0.7701, decode.d3.loss_dice: 1.2119, decode.d4.loss_cls: 0.8264, decode.d4.loss_mask: 0.7701, decode.d4.loss_dice: 1.2129, decode.d5.loss_cls: 0.8228, decode.d5.loss_mask: 0.7634, decode.d5.loss_dice: 1.2016, decode.d6.loss_cls: 0.8186, decode.d6.loss_mask: 0.7597, decode.d6.loss_dice: 1.1948, decode.d7.loss_cls: 0.8119, decode.d7.loss_mask: 0.7616, decode.d7.loss_dice: 1.1929, decode.d8.loss_cls: 0.8139, decode.d8.loss_mask: 0.7589, decode.d8.loss_dice: 1.1895, loss: 30.1185 2022-09-13 07:28:28,406 - mmseg - INFO - Iter [51100/80000] lr: 5.187e-07, eta: 15:31:39, time: 1.870, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7814, decode.loss_mask: 0.7780, decode.loss_dice: 1.1782, decode.d0.loss_cls: 2.5337, decode.d0.loss_mask: 0.8019, decode.d0.loss_dice: 1.3779, decode.d1.loss_cls: 0.8664, decode.d1.loss_mask: 0.8203, decode.d1.loss_dice: 1.2757, decode.d2.loss_cls: 0.8088, decode.d2.loss_mask: 0.7961, decode.d2.loss_dice: 1.2125, decode.d3.loss_cls: 0.7936, decode.d3.loss_mask: 0.7869, decode.d3.loss_dice: 1.1917, decode.d4.loss_cls: 0.7878, decode.d4.loss_mask: 0.7854, decode.d4.loss_dice: 1.1946, decode.d5.loss_cls: 0.7828, decode.d5.loss_mask: 0.7849, decode.d5.loss_dice: 1.1848, decode.d6.loss_cls: 0.7835, decode.d6.loss_mask: 0.7793, decode.d6.loss_dice: 1.1760, decode.d7.loss_cls: 0.7763, decode.d7.loss_mask: 0.7787, decode.d7.loss_dice: 1.1817, decode.d8.loss_cls: 0.7813, decode.d8.loss_mask: 0.7799, decode.d8.loss_dice: 1.1792, loss: 29.7392 2022-09-13 07:30:00,851 - mmseg - INFO - Iter [51150/80000] lr: 5.178e-07, eta: 15:30:00, time: 1.849, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7231, decode.loss_mask: 0.7567, decode.loss_dice: 1.1671, decode.d0.loss_cls: 2.4269, decode.d0.loss_mask: 0.7726, decode.d0.loss_dice: 1.3533, decode.d1.loss_cls: 0.8124, decode.d1.loss_mask: 0.7802, decode.d1.loss_dice: 1.2582, decode.d2.loss_cls: 0.7566, decode.d2.loss_mask: 0.7693, decode.d2.loss_dice: 1.2070, decode.d3.loss_cls: 0.7423, decode.d3.loss_mask: 0.7643, decode.d3.loss_dice: 1.1834, decode.d4.loss_cls: 0.7372, decode.d4.loss_mask: 0.7589, decode.d4.loss_dice: 1.1853, decode.d5.loss_cls: 0.7309, decode.d5.loss_mask: 0.7568, decode.d5.loss_dice: 1.1784, decode.d6.loss_cls: 0.7278, decode.d6.loss_mask: 0.7506, decode.d6.loss_dice: 1.1664, decode.d7.loss_cls: 0.7224, decode.d7.loss_mask: 0.7571, decode.d7.loss_dice: 1.1622, decode.d8.loss_cls: 0.7273, decode.d8.loss_mask: 0.7538, decode.d8.loss_dice: 1.1666, loss: 28.7552 2022-09-13 07:31:33,559 - mmseg - INFO - Iter [51200/80000] lr: 5.169e-07, eta: 15:28:21, time: 1.854, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7414, decode.loss_mask: 0.7577, decode.loss_dice: 1.1443, decode.d0.loss_cls: 2.5116, decode.d0.loss_mask: 0.7798, decode.d0.loss_dice: 1.3357, decode.d1.loss_cls: 0.8224, decode.d1.loss_mask: 0.7881, decode.d1.loss_dice: 1.2360, decode.d2.loss_cls: 0.7709, decode.d2.loss_mask: 0.7730, decode.d2.loss_dice: 1.1930, decode.d3.loss_cls: 0.7597, decode.d3.loss_mask: 0.7680, decode.d3.loss_dice: 1.1694, decode.d4.loss_cls: 0.7537, decode.d4.loss_mask: 0.7653, decode.d4.loss_dice: 1.1640, decode.d5.loss_cls: 0.7542, decode.d5.loss_mask: 0.7622, decode.d5.loss_dice: 1.1613, decode.d6.loss_cls: 0.7456, decode.d6.loss_mask: 0.7589, decode.d6.loss_dice: 1.1452, decode.d7.loss_cls: 0.7419, decode.d7.loss_mask: 0.7551, decode.d7.loss_dice: 1.1442, decode.d8.loss_cls: 0.7445, decode.d8.loss_mask: 0.7548, decode.d8.loss_dice: 1.1434, loss: 28.8453 2022-09-13 07:33:06,329 - mmseg - INFO - Iter [51250/80000] lr: 5.160e-07, eta: 15:26:42, time: 1.855, data_time: 0.014, memory: 42763, decode.loss_cls: 0.8086, decode.loss_mask: 0.7619, decode.loss_dice: 1.1897, decode.d0.loss_cls: 2.5477, decode.d0.loss_mask: 0.7833, decode.d0.loss_dice: 1.3682, decode.d1.loss_cls: 0.8972, decode.d1.loss_mask: 0.7912, decode.d1.loss_dice: 1.2810, decode.d2.loss_cls: 0.8429, decode.d2.loss_mask: 0.7844, decode.d2.loss_dice: 1.2408, decode.d3.loss_cls: 0.8329, decode.d3.loss_mask: 0.7717, decode.d3.loss_dice: 1.2094, decode.d4.loss_cls: 0.8254, decode.d4.loss_mask: 0.7703, decode.d4.loss_dice: 1.2040, decode.d5.loss_cls: 0.8152, decode.d5.loss_mask: 0.7692, decode.d5.loss_dice: 1.1982, decode.d6.loss_cls: 0.8082, decode.d6.loss_mask: 0.7665, decode.d6.loss_dice: 1.1891, decode.d7.loss_cls: 0.8127, decode.d7.loss_mask: 0.7645, decode.d7.loss_dice: 1.1847, decode.d8.loss_cls: 0.8104, decode.d8.loss_mask: 0.7643, decode.d8.loss_dice: 1.1910, loss: 29.9844 2022-09-13 07:34:38,803 - mmseg - INFO - Iter [51300/80000] lr: 5.151e-07, eta: 15:25:03, time: 1.849, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7725, decode.loss_mask: 0.7542, decode.loss_dice: 1.1589, decode.d0.loss_cls: 2.5106, decode.d0.loss_mask: 0.7843, decode.d0.loss_dice: 1.3597, decode.d1.loss_cls: 0.8490, decode.d1.loss_mask: 0.7950, decode.d1.loss_dice: 1.2630, decode.d2.loss_cls: 0.7971, decode.d2.loss_mask: 0.7804, decode.d2.loss_dice: 1.2070, decode.d3.loss_cls: 0.7904, decode.d3.loss_mask: 0.7635, decode.d3.loss_dice: 1.1843, decode.d4.loss_cls: 0.7857, decode.d4.loss_mask: 0.7576, decode.d4.loss_dice: 1.1786, decode.d5.loss_cls: 0.7790, decode.d5.loss_mask: 0.7550, decode.d5.loss_dice: 1.1731, decode.d6.loss_cls: 0.7755, decode.d6.loss_mask: 0.7554, decode.d6.loss_dice: 1.1579, decode.d7.loss_cls: 0.7721, decode.d7.loss_mask: 0.7568, decode.d7.loss_dice: 1.1612, decode.d8.loss_cls: 0.7660, decode.d8.loss_mask: 0.7567, decode.d8.loss_dice: 1.1686, loss: 29.2690 2022-09-13 07:36:12,468 - mmseg - INFO - Iter [51350/80000] lr: 5.142e-07, eta: 15:23:25, time: 1.874, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7874, decode.loss_mask: 0.7565, decode.loss_dice: 1.1977, decode.d0.loss_cls: 2.5647, decode.d0.loss_mask: 0.7745, decode.d0.loss_dice: 1.3869, decode.d1.loss_cls: 0.8474, decode.d1.loss_mask: 0.7942, decode.d1.loss_dice: 1.2966, decode.d2.loss_cls: 0.7980, decode.d2.loss_mask: 0.7763, decode.d2.loss_dice: 1.2507, decode.d3.loss_cls: 0.7905, decode.d3.loss_mask: 0.7676, decode.d3.loss_dice: 1.2235, decode.d4.loss_cls: 0.7850, decode.d4.loss_mask: 0.7666, decode.d4.loss_dice: 1.2186, decode.d5.loss_cls: 0.7854, decode.d5.loss_mask: 0.7641, decode.d5.loss_dice: 1.2090, decode.d6.loss_cls: 0.7842, decode.d6.loss_mask: 0.7603, decode.d6.loss_dice: 1.1985, decode.d7.loss_cls: 0.7809, decode.d7.loss_mask: 0.7622, decode.d7.loss_dice: 1.1996, decode.d8.loss_cls: 0.7757, decode.d8.loss_mask: 0.7615, decode.d8.loss_dice: 1.2067, loss: 29.7710 2022-09-13 07:37:45,375 - mmseg - INFO - Iter [51400/80000] lr: 5.133e-07, eta: 15:21:46, time: 1.858, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7662, decode.loss_mask: 0.7430, decode.loss_dice: 1.1373, decode.d0.loss_cls: 2.4964, decode.d0.loss_mask: 0.7658, decode.d0.loss_dice: 1.3118, decode.d1.loss_cls: 0.8316, decode.d1.loss_mask: 0.7816, decode.d1.loss_dice: 1.2348, decode.d2.loss_cls: 0.7842, decode.d2.loss_mask: 0.7639, decode.d2.loss_dice: 1.1879, decode.d3.loss_cls: 0.7805, decode.d3.loss_mask: 0.7523, decode.d3.loss_dice: 1.1607, decode.d4.loss_cls: 0.7740, decode.d4.loss_mask: 0.7535, decode.d4.loss_dice: 1.1528, decode.d5.loss_cls: 0.7761, decode.d5.loss_mask: 0.7483, decode.d5.loss_dice: 1.1475, decode.d6.loss_cls: 0.7631, decode.d6.loss_mask: 0.7461, decode.d6.loss_dice: 1.1393, decode.d7.loss_cls: 0.7634, decode.d7.loss_mask: 0.7428, decode.d7.loss_dice: 1.1378, decode.d8.loss_cls: 0.7649, decode.d8.loss_mask: 0.7435, decode.d8.loss_dice: 1.1352, loss: 28.7861 2022-09-13 07:39:18,621 - mmseg - INFO - Iter [51450/80000] lr: 5.124e-07, eta: 15:20:08, time: 1.865, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7655, decode.loss_mask: 0.7411, decode.loss_dice: 1.1617, decode.d0.loss_cls: 2.5088, decode.d0.loss_mask: 0.7568, decode.d0.loss_dice: 1.3527, decode.d1.loss_cls: 0.8354, decode.d1.loss_mask: 0.7708, decode.d1.loss_dice: 1.2600, decode.d2.loss_cls: 0.7897, decode.d2.loss_mask: 0.7568, decode.d2.loss_dice: 1.2077, decode.d3.loss_cls: 0.7824, decode.d3.loss_mask: 0.7461, decode.d3.loss_dice: 1.1841, decode.d4.loss_cls: 0.7736, decode.d4.loss_mask: 0.7450, decode.d4.loss_dice: 1.1792, decode.d5.loss_cls: 0.7674, decode.d5.loss_mask: 0.7450, decode.d5.loss_dice: 1.1803, decode.d6.loss_cls: 0.7614, decode.d6.loss_mask: 0.7401, decode.d6.loss_dice: 1.1747, decode.d7.loss_cls: 0.7619, decode.d7.loss_mask: 0.7398, decode.d7.loss_dice: 1.1626, decode.d8.loss_cls: 0.7658, decode.d8.loss_mask: 0.7420, decode.d8.loss_dice: 1.1644, loss: 29.0227 2022-09-13 07:40:51,007 - mmseg - INFO - Iter [51500/80000] lr: 5.115e-07, eta: 15:18:28, time: 1.848, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7992, decode.loss_mask: 0.7875, decode.loss_dice: 1.1836, decode.d0.loss_cls: 2.5304, decode.d0.loss_mask: 0.8027, decode.d0.loss_dice: 1.3754, decode.d1.loss_cls: 0.8718, decode.d1.loss_mask: 0.8191, decode.d1.loss_dice: 1.2636, decode.d2.loss_cls: 0.8219, decode.d2.loss_mask: 0.8001, decode.d2.loss_dice: 1.2238, decode.d3.loss_cls: 0.8137, decode.d3.loss_mask: 0.7894, decode.d3.loss_dice: 1.2021, decode.d4.loss_cls: 0.8113, decode.d4.loss_mask: 0.7884, decode.d4.loss_dice: 1.1971, decode.d5.loss_cls: 0.8048, decode.d5.loss_mask: 0.7883, decode.d5.loss_dice: 1.1883, decode.d6.loss_cls: 0.7993, decode.d6.loss_mask: 0.7928, decode.d6.loss_dice: 1.1850, decode.d7.loss_cls: 0.7953, decode.d7.loss_mask: 0.7938, decode.d7.loss_dice: 1.1819, decode.d8.loss_cls: 0.7994, decode.d8.loss_mask: 0.7901, decode.d8.loss_dice: 1.1842, loss: 29.9844 2022-09-13 07:42:23,945 - mmseg - INFO - Iter [51550/80000] lr: 5.106e-07, eta: 15:16:50, time: 1.859, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7711, decode.loss_mask: 0.7471, decode.loss_dice: 1.1663, decode.d0.loss_cls: 2.4958, decode.d0.loss_mask: 0.7699, decode.d0.loss_dice: 1.3598, decode.d1.loss_cls: 0.8554, decode.d1.loss_mask: 0.7838, decode.d1.loss_dice: 1.2686, decode.d2.loss_cls: 0.8061, decode.d2.loss_mask: 0.7667, decode.d2.loss_dice: 1.2061, decode.d3.loss_cls: 0.7883, decode.d3.loss_mask: 0.7610, decode.d3.loss_dice: 1.1945, decode.d4.loss_cls: 0.7787, decode.d4.loss_mask: 0.7608, decode.d4.loss_dice: 1.1916, decode.d5.loss_cls: 0.7708, decode.d5.loss_mask: 0.7568, decode.d5.loss_dice: 1.1786, decode.d6.loss_cls: 0.7660, decode.d6.loss_mask: 0.7481, decode.d6.loss_dice: 1.1706, decode.d7.loss_cls: 0.7647, decode.d7.loss_mask: 0.7513, decode.d7.loss_dice: 1.1731, decode.d8.loss_cls: 0.7676, decode.d8.loss_mask: 0.7444, decode.d8.loss_dice: 1.1690, loss: 29.2326 2022-09-13 07:43:59,181 - mmseg - INFO - Iter [51600/80000] lr: 5.097e-07, eta: 15:15:12, time: 1.905, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7899, decode.loss_mask: 0.7673, decode.loss_dice: 1.1993, decode.d0.loss_cls: 2.5211, decode.d0.loss_mask: 0.7832, decode.d0.loss_dice: 1.3916, decode.d1.loss_cls: 0.8496, decode.d1.loss_mask: 0.8060, decode.d1.loss_dice: 1.3003, decode.d2.loss_cls: 0.8125, decode.d2.loss_mask: 0.7897, decode.d2.loss_dice: 1.2508, decode.d3.loss_cls: 0.7987, decode.d3.loss_mask: 0.7812, decode.d3.loss_dice: 1.2345, decode.d4.loss_cls: 0.7886, decode.d4.loss_mask: 0.7793, decode.d4.loss_dice: 1.2264, decode.d5.loss_cls: 0.7882, decode.d5.loss_mask: 0.7736, decode.d5.loss_dice: 1.2121, decode.d6.loss_cls: 0.7885, decode.d6.loss_mask: 0.7697, decode.d6.loss_dice: 1.2075, decode.d7.loss_cls: 0.7789, decode.d7.loss_mask: 0.7707, decode.d7.loss_dice: 1.2082, decode.d8.loss_cls: 0.7814, decode.d8.loss_mask: 0.7670, decode.d8.loss_dice: 1.2070, loss: 29.9228 2022-09-13 07:45:32,290 - mmseg - INFO - Iter [51650/80000] lr: 5.088e-07, eta: 15:13:34, time: 1.862, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7487, decode.loss_mask: 0.7458, decode.loss_dice: 1.1686, decode.d0.loss_cls: 2.5043, decode.d0.loss_mask: 0.7627, decode.d0.loss_dice: 1.3509, decode.d1.loss_cls: 0.8203, decode.d1.loss_mask: 0.7837, decode.d1.loss_dice: 1.2723, decode.d2.loss_cls: 0.7789, decode.d2.loss_mask: 0.7633, decode.d2.loss_dice: 1.2124, decode.d3.loss_cls: 0.7648, decode.d3.loss_mask: 0.7549, decode.d3.loss_dice: 1.1914, decode.d4.loss_cls: 0.7578, decode.d4.loss_mask: 0.7513, decode.d4.loss_dice: 1.1918, decode.d5.loss_cls: 0.7491, decode.d5.loss_mask: 0.7509, decode.d5.loss_dice: 1.1862, decode.d6.loss_cls: 0.7529, decode.d6.loss_mask: 0.7457, decode.d6.loss_dice: 1.1744, decode.d7.loss_cls: 0.7468, decode.d7.loss_mask: 0.7486, decode.d7.loss_dice: 1.1758, decode.d8.loss_cls: 0.7453, decode.d8.loss_mask: 0.7515, decode.d8.loss_dice: 1.1774, loss: 29.0286 2022-09-13 07:47:05,831 - mmseg - INFO - Iter [51700/80000] lr: 5.079e-07, eta: 15:11:55, time: 1.871, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7676, decode.loss_mask: 0.7696, decode.loss_dice: 1.1564, decode.d0.loss_cls: 2.4884, decode.d0.loss_mask: 0.7839, decode.d0.loss_dice: 1.3414, decode.d1.loss_cls: 0.8470, decode.d1.loss_mask: 0.7977, decode.d1.loss_dice: 1.2469, decode.d2.loss_cls: 0.7931, decode.d2.loss_mask: 0.7800, decode.d2.loss_dice: 1.1953, decode.d3.loss_cls: 0.7777, decode.d3.loss_mask: 0.7821, decode.d3.loss_dice: 1.1694, decode.d4.loss_cls: 0.7715, decode.d4.loss_mask: 0.7718, decode.d4.loss_dice: 1.1752, decode.d5.loss_cls: 0.7658, decode.d5.loss_mask: 0.7784, decode.d5.loss_dice: 1.1756, decode.d6.loss_cls: 0.7687, decode.d6.loss_mask: 0.7716, decode.d6.loss_dice: 1.1632, decode.d7.loss_cls: 0.7623, decode.d7.loss_mask: 0.7723, decode.d7.loss_dice: 1.1661, decode.d8.loss_cls: 0.7622, decode.d8.loss_mask: 0.7696, decode.d8.loss_dice: 1.1651, loss: 29.2359 2022-09-13 07:48:40,081 - mmseg - INFO - Iter [51750/80000] lr: 5.070e-07, eta: 15:10:17, time: 1.885, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7496, decode.loss_mask: 0.7621, decode.loss_dice: 1.1600, decode.d0.loss_cls: 2.4612, decode.d0.loss_mask: 0.7826, decode.d0.loss_dice: 1.3434, decode.d1.loss_cls: 0.8312, decode.d1.loss_mask: 0.7911, decode.d1.loss_dice: 1.2550, decode.d2.loss_cls: 0.7761, decode.d2.loss_mask: 0.7837, decode.d2.loss_dice: 1.2049, decode.d3.loss_cls: 0.7673, decode.d3.loss_mask: 0.7796, decode.d3.loss_dice: 1.1808, decode.d4.loss_cls: 0.7614, decode.d4.loss_mask: 0.7660, decode.d4.loss_dice: 1.1707, decode.d5.loss_cls: 0.7518, decode.d5.loss_mask: 0.7736, decode.d5.loss_dice: 1.1649, decode.d6.loss_cls: 0.7462, decode.d6.loss_mask: 0.7689, decode.d6.loss_dice: 1.1626, decode.d7.loss_cls: 0.7545, decode.d7.loss_mask: 0.7659, decode.d7.loss_dice: 1.1612, decode.d8.loss_cls: 0.7535, decode.d8.loss_mask: 0.7642, decode.d8.loss_dice: 1.1665, loss: 29.0604 2022-09-13 07:50:16,347 - mmseg - INFO - Iter [51800/80000] lr: 5.061e-07, eta: 15:08:40, time: 1.926, data_time: 0.060, memory: 42763, decode.loss_cls: 0.7512, decode.loss_mask: 0.7515, decode.loss_dice: 1.1392, decode.d0.loss_cls: 2.5212, decode.d0.loss_mask: 0.7613, decode.d0.loss_dice: 1.3229, decode.d1.loss_cls: 0.8313, decode.d1.loss_mask: 0.7885, decode.d1.loss_dice: 1.2371, decode.d2.loss_cls: 0.7862, decode.d2.loss_mask: 0.7702, decode.d2.loss_dice: 1.1932, decode.d3.loss_cls: 0.7740, decode.d3.loss_mask: 0.7606, decode.d3.loss_dice: 1.1657, decode.d4.loss_cls: 0.7628, decode.d4.loss_mask: 0.7624, decode.d4.loss_dice: 1.1652, decode.d5.loss_cls: 0.7547, decode.d5.loss_mask: 0.7613, decode.d5.loss_dice: 1.1600, decode.d6.loss_cls: 0.7509, decode.d6.loss_mask: 0.7531, decode.d6.loss_dice: 1.1501, decode.d7.loss_cls: 0.7554, decode.d7.loss_mask: 0.7486, decode.d7.loss_dice: 1.1412, decode.d8.loss_cls: 0.7494, decode.d8.loss_mask: 0.7509, decode.d8.loss_dice: 1.1436, loss: 28.8635 2022-09-13 07:51:49,308 - mmseg - INFO - Iter [51850/80000] lr: 5.052e-07, eta: 15:07:02, time: 1.859, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7622, decode.loss_mask: 0.7637, decode.loss_dice: 1.1548, decode.d0.loss_cls: 2.5018, decode.d0.loss_mask: 0.7813, decode.d0.loss_dice: 1.3490, decode.d1.loss_cls: 0.8378, decode.d1.loss_mask: 0.7932, decode.d1.loss_dice: 1.2535, decode.d2.loss_cls: 0.7880, decode.d2.loss_mask: 0.7781, decode.d2.loss_dice: 1.1972, decode.d3.loss_cls: 0.7790, decode.d3.loss_mask: 0.7712, decode.d3.loss_dice: 1.1719, decode.d4.loss_cls: 0.7825, decode.d4.loss_mask: 0.7694, decode.d4.loss_dice: 1.1732, decode.d5.loss_cls: 0.7710, decode.d5.loss_mask: 0.7702, decode.d5.loss_dice: 1.1691, decode.d6.loss_cls: 0.7689, decode.d6.loss_mask: 0.7612, decode.d6.loss_dice: 1.1616, decode.d7.loss_cls: 0.7657, decode.d7.loss_mask: 0.7642, decode.d7.loss_dice: 1.1593, decode.d8.loss_cls: 0.7679, decode.d8.loss_mask: 0.7633, decode.d8.loss_dice: 1.1579, loss: 29.1880 2022-09-13 07:53:22,173 - mmseg - INFO - Iter [51900/80000] lr: 5.043e-07, eta: 15:05:23, time: 1.855, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7664, decode.loss_mask: 0.7615, decode.loss_dice: 1.1572, decode.d0.loss_cls: 2.5076, decode.d0.loss_mask: 0.7785, decode.d0.loss_dice: 1.3430, decode.d1.loss_cls: 0.8525, decode.d1.loss_mask: 0.7941, decode.d1.loss_dice: 1.2510, decode.d2.loss_cls: 0.7981, decode.d2.loss_mask: 0.7823, decode.d2.loss_dice: 1.2086, decode.d3.loss_cls: 0.7898, decode.d3.loss_mask: 0.7753, decode.d3.loss_dice: 1.1838, decode.d4.loss_cls: 0.7809, decode.d4.loss_mask: 0.7751, decode.d4.loss_dice: 1.1814, decode.d5.loss_cls: 0.7723, decode.d5.loss_mask: 0.7681, decode.d5.loss_dice: 1.1746, decode.d6.loss_cls: 0.7738, decode.d6.loss_mask: 0.7657, decode.d6.loss_dice: 1.1612, decode.d7.loss_cls: 0.7616, decode.d7.loss_mask: 0.7696, decode.d7.loss_dice: 1.1614, decode.d8.loss_cls: 0.7608, decode.d8.loss_mask: 0.7674, decode.d8.loss_dice: 1.1628, loss: 29.2865 2022-09-13 07:54:54,150 - mmseg - INFO - Iter [51950/80000] lr: 5.034e-07, eta: 15:03:44, time: 1.841, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7630, decode.loss_mask: 0.7791, decode.loss_dice: 1.1767, decode.d0.loss_cls: 2.4471, decode.d0.loss_mask: 0.7922, decode.d0.loss_dice: 1.3588, decode.d1.loss_cls: 0.8292, decode.d1.loss_mask: 0.8155, decode.d1.loss_dice: 1.2832, decode.d2.loss_cls: 0.7835, decode.d2.loss_mask: 0.7913, decode.d2.loss_dice: 1.2238, decode.d3.loss_cls: 0.7742, decode.d3.loss_mask: 0.7865, decode.d3.loss_dice: 1.1903, decode.d4.loss_cls: 0.7709, decode.d4.loss_mask: 0.7845, decode.d4.loss_dice: 1.1924, decode.d5.loss_cls: 0.7713, decode.d5.loss_mask: 0.7796, decode.d5.loss_dice: 1.1854, decode.d6.loss_cls: 0.7633, decode.d6.loss_mask: 0.7809, decode.d6.loss_dice: 1.1796, decode.d7.loss_cls: 0.7584, decode.d7.loss_mask: 0.7820, decode.d7.loss_dice: 1.1811, decode.d8.loss_cls: 0.7614, decode.d8.loss_mask: 0.7795, decode.d8.loss_dice: 1.1820, loss: 29.4469 2022-09-13 07:56:25,110 - mmseg - INFO - Saving checkpoint at 52000 iterations 2022-09-13 07:56:56,281 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 07:56:56,289 - mmseg - INFO - Iter [52000/80000] lr: 5.025e-07, eta: 15:02:21, time: 2.440, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7512, decode.loss_mask: 0.7606, decode.loss_dice: 1.1743, decode.d0.loss_cls: 2.5097, decode.d0.loss_mask: 0.7696, decode.d0.loss_dice: 1.3493, decode.d1.loss_cls: 0.8382, decode.d1.loss_mask: 0.7861, decode.d1.loss_dice: 1.2576, decode.d2.loss_cls: 0.7886, decode.d2.loss_mask: 0.7742, decode.d2.loss_dice: 1.2057, decode.d3.loss_cls: 0.7778, decode.d3.loss_mask: 0.7643, decode.d3.loss_dice: 1.1826, decode.d4.loss_cls: 0.7730, decode.d4.loss_mask: 0.7580, decode.d4.loss_dice: 1.1875, decode.d5.loss_cls: 0.7595, decode.d5.loss_mask: 0.7599, decode.d5.loss_dice: 1.1753, decode.d6.loss_cls: 0.7602, decode.d6.loss_mask: 0.7555, decode.d6.loss_dice: 1.1694, decode.d7.loss_cls: 0.7631, decode.d7.loss_mask: 0.7544, decode.d7.loss_dice: 1.1675, decode.d8.loss_cls: 0.7525, decode.d8.loss_mask: 0.7563, decode.d8.loss_dice: 1.1677, loss: 29.1494 2022-09-13 07:58:29,675 - mmseg - INFO - Iter [52050/80000] lr: 5.016e-07, eta: 15:00:42, time: 1.870, data_time: 0.018, memory: 42763, decode.loss_cls: 0.7831, decode.loss_mask: 0.7420, decode.loss_dice: 1.1618, decode.d0.loss_cls: 2.5691, decode.d0.loss_mask: 0.7590, decode.d0.loss_dice: 1.3628, decode.d1.loss_cls: 0.8581, decode.d1.loss_mask: 0.7720, decode.d1.loss_dice: 1.2712, decode.d2.loss_cls: 0.8037, decode.d2.loss_mask: 0.7588, decode.d2.loss_dice: 1.2182, decode.d3.loss_cls: 0.8034, decode.d3.loss_mask: 0.7500, decode.d3.loss_dice: 1.1940, decode.d4.loss_cls: 0.7919, decode.d4.loss_mask: 0.7465, decode.d4.loss_dice: 1.1865, decode.d5.loss_cls: 0.7903, decode.d5.loss_mask: 0.7466, decode.d5.loss_dice: 1.1798, decode.d6.loss_cls: 0.7844, decode.d6.loss_mask: 0.7449, decode.d6.loss_dice: 1.1696, decode.d7.loss_cls: 0.7841, decode.d7.loss_mask: 0.7443, decode.d7.loss_dice: 1.1671, decode.d8.loss_cls: 0.7824, decode.d8.loss_mask: 0.7439, decode.d8.loss_dice: 1.1697, loss: 29.3391 2022-09-13 08:00:02,169 - mmseg - INFO - Iter [52100/80000] lr: 5.008e-07, eta: 14:59:03, time: 1.850, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7389, decode.loss_mask: 0.7648, decode.loss_dice: 1.1742, decode.d0.loss_cls: 2.5316, decode.d0.loss_mask: 0.7830, decode.d0.loss_dice: 1.3592, decode.d1.loss_cls: 0.8229, decode.d1.loss_mask: 0.8044, decode.d1.loss_dice: 1.2659, decode.d2.loss_cls: 0.7733, decode.d2.loss_mask: 0.7835, decode.d2.loss_dice: 1.2156, decode.d3.loss_cls: 0.7636, decode.d3.loss_mask: 0.7797, decode.d3.loss_dice: 1.1981, decode.d4.loss_cls: 0.7570, decode.d4.loss_mask: 0.7701, decode.d4.loss_dice: 1.1972, decode.d5.loss_cls: 0.7511, decode.d5.loss_mask: 0.7673, decode.d5.loss_dice: 1.1848, decode.d6.loss_cls: 0.7435, decode.d6.loss_mask: 0.7634, decode.d6.loss_dice: 1.1728, decode.d7.loss_cls: 0.7444, decode.d7.loss_mask: 0.7611, decode.d7.loss_dice: 1.1742, decode.d8.loss_cls: 0.7423, decode.d8.loss_mask: 0.7637, decode.d8.loss_dice: 1.1785, loss: 29.2302 2022-09-13 08:01:34,274 - mmseg - INFO - Iter [52150/80000] lr: 4.999e-07, eta: 14:57:24, time: 1.842, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7456, decode.loss_mask: 0.7533, decode.loss_dice: 1.1435, decode.d0.loss_cls: 2.4713, decode.d0.loss_mask: 0.7761, decode.d0.loss_dice: 1.3291, decode.d1.loss_cls: 0.8209, decode.d1.loss_mask: 0.7901, decode.d1.loss_dice: 1.2371, decode.d2.loss_cls: 0.7764, decode.d2.loss_mask: 0.7737, decode.d2.loss_dice: 1.1864, decode.d3.loss_cls: 0.7534, decode.d3.loss_mask: 0.7663, decode.d3.loss_dice: 1.1660, decode.d4.loss_cls: 0.7491, decode.d4.loss_mask: 0.7606, decode.d4.loss_dice: 1.1663, decode.d5.loss_cls: 0.7446, decode.d5.loss_mask: 0.7574, decode.d5.loss_dice: 1.1567, decode.d6.loss_cls: 0.7450, decode.d6.loss_mask: 0.7565, decode.d6.loss_dice: 1.1417, decode.d7.loss_cls: 0.7424, decode.d7.loss_mask: 0.7539, decode.d7.loss_dice: 1.1483, decode.d8.loss_cls: 0.7447, decode.d8.loss_mask: 0.7486, decode.d8.loss_dice: 1.1472, loss: 28.7523 2022-09-13 08:03:06,031 - mmseg - INFO - Iter [52200/80000] lr: 4.990e-07, eta: 14:55:45, time: 1.835, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7880, decode.loss_mask: 0.7451, decode.loss_dice: 1.1766, decode.d0.loss_cls: 2.5777, decode.d0.loss_mask: 0.7691, decode.d0.loss_dice: 1.3723, decode.d1.loss_cls: 0.8598, decode.d1.loss_mask: 0.7818, decode.d1.loss_dice: 1.2747, decode.d2.loss_cls: 0.8065, decode.d2.loss_mask: 0.7647, decode.d2.loss_dice: 1.2363, decode.d3.loss_cls: 0.8027, decode.d3.loss_mask: 0.7539, decode.d3.loss_dice: 1.1990, decode.d4.loss_cls: 0.7998, decode.d4.loss_mask: 0.7531, decode.d4.loss_dice: 1.2009, decode.d5.loss_cls: 0.7985, decode.d5.loss_mask: 0.7472, decode.d5.loss_dice: 1.1915, decode.d6.loss_cls: 0.7865, decode.d6.loss_mask: 0.7475, decode.d6.loss_dice: 1.1814, decode.d7.loss_cls: 0.7873, decode.d7.loss_mask: 0.7447, decode.d7.loss_dice: 1.1750, decode.d8.loss_cls: 0.7883, decode.d8.loss_mask: 0.7462, decode.d8.loss_dice: 1.1770, loss: 29.5332 2022-09-13 08:04:37,692 - mmseg - INFO - Iter [52250/80000] lr: 4.981e-07, eta: 14:54:06, time: 1.833, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7921, decode.loss_mask: 0.7483, decode.loss_dice: 1.1875, decode.d0.loss_cls: 2.5298, decode.d0.loss_mask: 0.7655, decode.d0.loss_dice: 1.3788, decode.d1.loss_cls: 0.8680, decode.d1.loss_mask: 0.7806, decode.d1.loss_dice: 1.2824, decode.d2.loss_cls: 0.8238, decode.d2.loss_mask: 0.7587, decode.d2.loss_dice: 1.2256, decode.d3.loss_cls: 0.8030, decode.d3.loss_mask: 0.7558, decode.d3.loss_dice: 1.2017, decode.d4.loss_cls: 0.8009, decode.d4.loss_mask: 0.7567, decode.d4.loss_dice: 1.2032, decode.d5.loss_cls: 0.7907, decode.d5.loss_mask: 0.7552, decode.d5.loss_dice: 1.1951, decode.d6.loss_cls: 0.7918, decode.d6.loss_mask: 0.7525, decode.d6.loss_dice: 1.1847, decode.d7.loss_cls: 0.7879, decode.d7.loss_mask: 0.7551, decode.d7.loss_dice: 1.1875, decode.d8.loss_cls: 0.7836, decode.d8.loss_mask: 0.7474, decode.d8.loss_dice: 1.1927, loss: 29.5865 2022-09-13 08:06:10,023 - mmseg - INFO - Iter [52300/80000] lr: 4.972e-07, eta: 14:52:27, time: 1.845, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7722, decode.loss_mask: 0.7356, decode.loss_dice: 1.1904, decode.d0.loss_cls: 2.5284, decode.d0.loss_mask: 0.7588, decode.d0.loss_dice: 1.3695, decode.d1.loss_cls: 0.8495, decode.d1.loss_mask: 0.7642, decode.d1.loss_dice: 1.2877, decode.d2.loss_cls: 0.7975, decode.d2.loss_mask: 0.7481, decode.d2.loss_dice: 1.2255, decode.d3.loss_cls: 0.7897, decode.d3.loss_mask: 0.7430, decode.d3.loss_dice: 1.2071, decode.d4.loss_cls: 0.7820, decode.d4.loss_mask: 0.7402, decode.d4.loss_dice: 1.2047, decode.d5.loss_cls: 0.7815, decode.d5.loss_mask: 0.7394, decode.d5.loss_dice: 1.2021, decode.d6.loss_cls: 0.7686, decode.d6.loss_mask: 0.7368, decode.d6.loss_dice: 1.1928, decode.d7.loss_cls: 0.7742, decode.d7.loss_mask: 0.7338, decode.d7.loss_dice: 1.1899, decode.d8.loss_cls: 0.7694, decode.d8.loss_mask: 0.7311, decode.d8.loss_dice: 1.1927, loss: 29.3062 2022-09-13 08:07:43,447 - mmseg - INFO - Iter [52350/80000] lr: 4.963e-07, eta: 14:50:48, time: 1.870, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7528, decode.loss_mask: 0.7612, decode.loss_dice: 1.1316, decode.d0.loss_cls: 2.4751, decode.d0.loss_mask: 0.7867, decode.d0.loss_dice: 1.3237, decode.d1.loss_cls: 0.8304, decode.d1.loss_mask: 0.7870, decode.d1.loss_dice: 1.2243, decode.d2.loss_cls: 0.7799, decode.d2.loss_mask: 0.7746, decode.d2.loss_dice: 1.1650, decode.d3.loss_cls: 0.7662, decode.d3.loss_mask: 0.7655, decode.d3.loss_dice: 1.1412, decode.d4.loss_cls: 0.7604, decode.d4.loss_mask: 0.7655, decode.d4.loss_dice: 1.1427, decode.d5.loss_cls: 0.7537, decode.d5.loss_mask: 0.7643, decode.d5.loss_dice: 1.1400, decode.d6.loss_cls: 0.7553, decode.d6.loss_mask: 0.7600, decode.d6.loss_dice: 1.1260, decode.d7.loss_cls: 0.7473, decode.d7.loss_mask: 0.7603, decode.d7.loss_dice: 1.1298, decode.d8.loss_cls: 0.7460, decode.d8.loss_mask: 0.7568, decode.d8.loss_dice: 1.1270, loss: 28.7003 2022-09-13 08:09:15,731 - mmseg - INFO - Iter [52400/80000] lr: 4.954e-07, eta: 14:49:09, time: 1.846, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7530, decode.loss_mask: 0.7467, decode.loss_dice: 1.1726, decode.d0.loss_cls: 2.5355, decode.d0.loss_mask: 0.7689, decode.d0.loss_dice: 1.3660, decode.d1.loss_cls: 0.8398, decode.d1.loss_mask: 0.7774, decode.d1.loss_dice: 1.2690, decode.d2.loss_cls: 0.7879, decode.d2.loss_mask: 0.7621, decode.d2.loss_dice: 1.2102, decode.d3.loss_cls: 0.7806, decode.d3.loss_mask: 0.7562, decode.d3.loss_dice: 1.1914, decode.d4.loss_cls: 0.7760, decode.d4.loss_mask: 0.7508, decode.d4.loss_dice: 1.1835, decode.d5.loss_cls: 0.7742, decode.d5.loss_mask: 0.7513, decode.d5.loss_dice: 1.1841, decode.d6.loss_cls: 0.7621, decode.d6.loss_mask: 0.7511, decode.d6.loss_dice: 1.1680, decode.d7.loss_cls: 0.7512, decode.d7.loss_mask: 0.7530, decode.d7.loss_dice: 1.1755, decode.d8.loss_cls: 0.7578, decode.d8.loss_mask: 0.7463, decode.d8.loss_dice: 1.1716, loss: 29.1740 2022-09-13 08:10:48,178 - mmseg - INFO - Iter [52450/80000] lr: 4.945e-07, eta: 14:47:31, time: 1.849, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7772, decode.loss_mask: 0.7405, decode.loss_dice: 1.1538, decode.d0.loss_cls: 2.5789, decode.d0.loss_mask: 0.7618, decode.d0.loss_dice: 1.3438, decode.d1.loss_cls: 0.8579, decode.d1.loss_mask: 0.7768, decode.d1.loss_dice: 1.2537, decode.d2.loss_cls: 0.8049, decode.d2.loss_mask: 0.7611, decode.d2.loss_dice: 1.1998, decode.d3.loss_cls: 0.7868, decode.d3.loss_mask: 0.7539, decode.d3.loss_dice: 1.1838, decode.d4.loss_cls: 0.7811, decode.d4.loss_mask: 0.7500, decode.d4.loss_dice: 1.1860, decode.d5.loss_cls: 0.7773, decode.d5.loss_mask: 0.7482, decode.d5.loss_dice: 1.1721, decode.d6.loss_cls: 0.7724, decode.d6.loss_mask: 0.7445, decode.d6.loss_dice: 1.1621, decode.d7.loss_cls: 0.7698, decode.d7.loss_mask: 0.7419, decode.d7.loss_dice: 1.1647, decode.d8.loss_cls: 0.7706, decode.d8.loss_mask: 0.7447, decode.d8.loss_dice: 1.1629, loss: 29.1830 2022-09-13 08:12:20,946 - mmseg - INFO - Iter [52500/80000] lr: 4.936e-07, eta: 14:45:52, time: 1.855, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7401, decode.loss_mask: 0.7528, decode.loss_dice: 1.1409, decode.d0.loss_cls: 2.4941, decode.d0.loss_mask: 0.7738, decode.d0.loss_dice: 1.3433, decode.d1.loss_cls: 0.8078, decode.d1.loss_mask: 0.7835, decode.d1.loss_dice: 1.2480, decode.d2.loss_cls: 0.7761, decode.d2.loss_mask: 0.7706, decode.d2.loss_dice: 1.1808, decode.d3.loss_cls: 0.7575, decode.d3.loss_mask: 0.7624, decode.d3.loss_dice: 1.1613, decode.d4.loss_cls: 0.7537, decode.d4.loss_mask: 0.7632, decode.d4.loss_dice: 1.1584, decode.d5.loss_cls: 0.7471, decode.d5.loss_mask: 0.7597, decode.d5.loss_dice: 1.1556, decode.d6.loss_cls: 0.7437, decode.d6.loss_mask: 0.7519, decode.d6.loss_dice: 1.1403, decode.d7.loss_cls: 0.7376, decode.d7.loss_mask: 0.7593, decode.d7.loss_dice: 1.1423, decode.d8.loss_cls: 0.7412, decode.d8.loss_mask: 0.7514, decode.d8.loss_dice: 1.1479, loss: 28.7463 2022-09-13 08:13:53,028 - mmseg - INFO - Iter [52550/80000] lr: 4.927e-07, eta: 14:44:13, time: 1.841, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7370, decode.loss_mask: 0.7476, decode.loss_dice: 1.1457, decode.d0.loss_cls: 2.4917, decode.d0.loss_mask: 0.7701, decode.d0.loss_dice: 1.3297, decode.d1.loss_cls: 0.8080, decode.d1.loss_mask: 0.7805, decode.d1.loss_dice: 1.2416, decode.d2.loss_cls: 0.7697, decode.d2.loss_mask: 0.7638, decode.d2.loss_dice: 1.1919, decode.d3.loss_cls: 0.7519, decode.d3.loss_mask: 0.7592, decode.d3.loss_dice: 1.1708, decode.d4.loss_cls: 0.7484, decode.d4.loss_mask: 0.7544, decode.d4.loss_dice: 1.1623, decode.d5.loss_cls: 0.7440, decode.d5.loss_mask: 0.7508, decode.d5.loss_dice: 1.1568, decode.d6.loss_cls: 0.7387, decode.d6.loss_mask: 0.7488, decode.d6.loss_dice: 1.1500, decode.d7.loss_cls: 0.7352, decode.d7.loss_mask: 0.7503, decode.d7.loss_dice: 1.1504, decode.d8.loss_cls: 0.7317, decode.d8.loss_mask: 0.7500, decode.d8.loss_dice: 1.1457, loss: 28.6764 2022-09-13 08:15:25,847 - mmseg - INFO - Iter [52600/80000] lr: 4.918e-07, eta: 14:42:34, time: 1.856, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7728, decode.loss_mask: 0.7362, decode.loss_dice: 1.1365, decode.d0.loss_cls: 2.4631, decode.d0.loss_mask: 0.7485, decode.d0.loss_dice: 1.3253, decode.d1.loss_cls: 0.8468, decode.d1.loss_mask: 0.7660, decode.d1.loss_dice: 1.2365, decode.d2.loss_cls: 0.7846, decode.d2.loss_mask: 0.7578, decode.d2.loss_dice: 1.1885, decode.d3.loss_cls: 0.7763, decode.d3.loss_mask: 0.7478, decode.d3.loss_dice: 1.1637, decode.d4.loss_cls: 0.7752, decode.d4.loss_mask: 0.7420, decode.d4.loss_dice: 1.1553, decode.d5.loss_cls: 0.7694, decode.d5.loss_mask: 0.7398, decode.d5.loss_dice: 1.1558, decode.d6.loss_cls: 0.7657, decode.d6.loss_mask: 0.7384, decode.d6.loss_dice: 1.1467, decode.d7.loss_cls: 0.7679, decode.d7.loss_mask: 0.7396, decode.d7.loss_dice: 1.1426, decode.d8.loss_cls: 0.7677, decode.d8.loss_mask: 0.7352, decode.d8.loss_dice: 1.1439, loss: 28.7353 2022-09-13 08:16:58,008 - mmseg - INFO - Iter [52650/80000] lr: 4.909e-07, eta: 14:40:55, time: 1.843, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7412, decode.loss_mask: 0.7668, decode.loss_dice: 1.1525, decode.d0.loss_cls: 2.4532, decode.d0.loss_mask: 0.7823, decode.d0.loss_dice: 1.3220, decode.d1.loss_cls: 0.8296, decode.d1.loss_mask: 0.8045, decode.d1.loss_dice: 1.2366, decode.d2.loss_cls: 0.7770, decode.d2.loss_mask: 0.7850, decode.d2.loss_dice: 1.1905, decode.d3.loss_cls: 0.7592, decode.d3.loss_mask: 0.7793, decode.d3.loss_dice: 1.1665, decode.d4.loss_cls: 0.7466, decode.d4.loss_mask: 0.7810, decode.d4.loss_dice: 1.1613, decode.d5.loss_cls: 0.7506, decode.d5.loss_mask: 0.7718, decode.d5.loss_dice: 1.1548, decode.d6.loss_cls: 0.7442, decode.d6.loss_mask: 0.7721, decode.d6.loss_dice: 1.1569, decode.d7.loss_cls: 0.7410, decode.d7.loss_mask: 0.7701, decode.d7.loss_dice: 1.1518, decode.d8.loss_cls: 0.7396, decode.d8.loss_mask: 0.7730, decode.d8.loss_dice: 1.1511, loss: 28.9124 2022-09-13 08:18:30,332 - mmseg - INFO - Iter [52700/80000] lr: 4.900e-07, eta: 14:39:16, time: 1.846, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7848, decode.loss_mask: 0.7399, decode.loss_dice: 1.1858, decode.d0.loss_cls: 2.5137, decode.d0.loss_mask: 0.7574, decode.d0.loss_dice: 1.3725, decode.d1.loss_cls: 0.8670, decode.d1.loss_mask: 0.7791, decode.d1.loss_dice: 1.2964, decode.d2.loss_cls: 0.8145, decode.d2.loss_mask: 0.7552, decode.d2.loss_dice: 1.2309, decode.d3.loss_cls: 0.8051, decode.d3.loss_mask: 0.7498, decode.d3.loss_dice: 1.2099, decode.d4.loss_cls: 0.7901, decode.d4.loss_mask: 0.7500, decode.d4.loss_dice: 1.2072, decode.d5.loss_cls: 0.7956, decode.d5.loss_mask: 0.7424, decode.d5.loss_dice: 1.1861, decode.d6.loss_cls: 0.7894, decode.d6.loss_mask: 0.7448, decode.d6.loss_dice: 1.1833, decode.d7.loss_cls: 0.7820, decode.d7.loss_mask: 0.7407, decode.d7.loss_dice: 1.1882, decode.d8.loss_cls: 0.7792, decode.d8.loss_mask: 0.7423, decode.d8.loss_dice: 1.1857, loss: 29.4692 2022-09-13 08:20:02,710 - mmseg - INFO - Iter [52750/80000] lr: 4.891e-07, eta: 14:37:38, time: 1.848, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7773, decode.loss_mask: 0.7563, decode.loss_dice: 1.1859, decode.d0.loss_cls: 2.5095, decode.d0.loss_mask: 0.7710, decode.d0.loss_dice: 1.3853, decode.d1.loss_cls: 0.8645, decode.d1.loss_mask: 0.7834, decode.d1.loss_dice: 1.2741, decode.d2.loss_cls: 0.8160, decode.d2.loss_mask: 0.7747, decode.d2.loss_dice: 1.2247, decode.d3.loss_cls: 0.7957, decode.d3.loss_mask: 0.7669, decode.d3.loss_dice: 1.2053, decode.d4.loss_cls: 0.7899, decode.d4.loss_mask: 0.7621, decode.d4.loss_dice: 1.1996, decode.d5.loss_cls: 0.7858, decode.d5.loss_mask: 0.7625, decode.d5.loss_dice: 1.1906, decode.d6.loss_cls: 0.7763, decode.d6.loss_mask: 0.7568, decode.d6.loss_dice: 1.1831, decode.d7.loss_cls: 0.7749, decode.d7.loss_mask: 0.7529, decode.d7.loss_dice: 1.1891, decode.d8.loss_cls: 0.7822, decode.d8.loss_mask: 0.7521, decode.d8.loss_dice: 1.1828, loss: 29.5313 2022-09-13 08:21:35,877 - mmseg - INFO - Iter [52800/80000] lr: 4.882e-07, eta: 14:35:59, time: 1.863, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7532, decode.loss_mask: 0.7715, decode.loss_dice: 1.1595, decode.d0.loss_cls: 2.4879, decode.d0.loss_mask: 0.7884, decode.d0.loss_dice: 1.3366, decode.d1.loss_cls: 0.8203, decode.d1.loss_mask: 0.8102, decode.d1.loss_dice: 1.2455, decode.d2.loss_cls: 0.7728, decode.d2.loss_mask: 0.7943, decode.d2.loss_dice: 1.1906, decode.d3.loss_cls: 0.7593, decode.d3.loss_mask: 0.7863, decode.d3.loss_dice: 1.1799, decode.d4.loss_cls: 0.7589, decode.d4.loss_mask: 0.7824, decode.d4.loss_dice: 1.1744, decode.d5.loss_cls: 0.7583, decode.d5.loss_mask: 0.7787, decode.d5.loss_dice: 1.1679, decode.d6.loss_cls: 0.7603, decode.d6.loss_mask: 0.7728, decode.d6.loss_dice: 1.1526, decode.d7.loss_cls: 0.7556, decode.d7.loss_mask: 0.7738, decode.d7.loss_dice: 1.1539, decode.d8.loss_cls: 0.7542, decode.d8.loss_mask: 0.7729, decode.d8.loss_dice: 1.1618, loss: 29.1350 2022-09-13 08:23:08,115 - mmseg - INFO - Iter [52850/80000] lr: 4.873e-07, eta: 14:34:20, time: 1.845, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7579, decode.loss_mask: 0.7495, decode.loss_dice: 1.1574, decode.d0.loss_cls: 2.4729, decode.d0.loss_mask: 0.7692, decode.d0.loss_dice: 1.3559, decode.d1.loss_cls: 0.8216, decode.d1.loss_mask: 0.7869, decode.d1.loss_dice: 1.2494, decode.d2.loss_cls: 0.7844, decode.d2.loss_mask: 0.7746, decode.d2.loss_dice: 1.2018, decode.d3.loss_cls: 0.7683, decode.d3.loss_mask: 0.7622, decode.d3.loss_dice: 1.1854, decode.d4.loss_cls: 0.7649, decode.d4.loss_mask: 0.7571, decode.d4.loss_dice: 1.1743, decode.d5.loss_cls: 0.7555, decode.d5.loss_mask: 0.7548, decode.d5.loss_dice: 1.1691, decode.d6.loss_cls: 0.7576, decode.d6.loss_mask: 0.7564, decode.d6.loss_dice: 1.1602, decode.d7.loss_cls: 0.7560, decode.d7.loss_mask: 0.7569, decode.d7.loss_dice: 1.1598, decode.d8.loss_cls: 0.7527, decode.d8.loss_mask: 0.7554, decode.d8.loss_dice: 1.1633, loss: 28.9912 2022-09-13 08:24:40,587 - mmseg - INFO - Iter [52900/80000] lr: 4.864e-07, eta: 14:32:42, time: 1.849, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7683, decode.loss_mask: 0.7262, decode.loss_dice: 1.1513, decode.d0.loss_cls: 2.5023, decode.d0.loss_mask: 0.7382, decode.d0.loss_dice: 1.3486, decode.d1.loss_cls: 0.8413, decode.d1.loss_mask: 0.7537, decode.d1.loss_dice: 1.2433, decode.d2.loss_cls: 0.7897, decode.d2.loss_mask: 0.7441, decode.d2.loss_dice: 1.1977, decode.d3.loss_cls: 0.7753, decode.d3.loss_mask: 0.7368, decode.d3.loss_dice: 1.1763, decode.d4.loss_cls: 0.7779, decode.d4.loss_mask: 0.7275, decode.d4.loss_dice: 1.1643, decode.d5.loss_cls: 0.7680, decode.d5.loss_mask: 0.7266, decode.d5.loss_dice: 1.1592, decode.d6.loss_cls: 0.7723, decode.d6.loss_mask: 0.7217, decode.d6.loss_dice: 1.1468, decode.d7.loss_cls: 0.7704, decode.d7.loss_mask: 0.7186, decode.d7.loss_dice: 1.1543, decode.d8.loss_cls: 0.7640, decode.d8.loss_mask: 0.7188, decode.d8.loss_dice: 1.1520, loss: 28.7354 2022-09-13 08:26:12,788 - mmseg - INFO - Iter [52950/80000] lr: 4.855e-07, eta: 14:31:03, time: 1.844, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7604, decode.loss_mask: 0.7395, decode.loss_dice: 1.1862, decode.d0.loss_cls: 2.5195, decode.d0.loss_mask: 0.7510, decode.d0.loss_dice: 1.3669, decode.d1.loss_cls: 0.8343, decode.d1.loss_mask: 0.7611, decode.d1.loss_dice: 1.2763, decode.d2.loss_cls: 0.7902, decode.d2.loss_mask: 0.7499, decode.d2.loss_dice: 1.2343, decode.d3.loss_cls: 0.7764, decode.d3.loss_mask: 0.7440, decode.d3.loss_dice: 1.2062, decode.d4.loss_cls: 0.7764, decode.d4.loss_mask: 0.7445, decode.d4.loss_dice: 1.2105, decode.d5.loss_cls: 0.7642, decode.d5.loss_mask: 0.7404, decode.d5.loss_dice: 1.1966, decode.d6.loss_cls: 0.7619, decode.d6.loss_mask: 0.7384, decode.d6.loss_dice: 1.1849, decode.d7.loss_cls: 0.7638, decode.d7.loss_mask: 0.7384, decode.d7.loss_dice: 1.1837, decode.d8.loss_cls: 0.7593, decode.d8.loss_mask: 0.7389, decode.d8.loss_dice: 1.1860, loss: 29.1842 2022-09-13 08:27:45,149 - mmseg - INFO - Saving checkpoint at 53000 iterations 2022-09-13 08:28:15,767 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 08:28:15,774 - mmseg - INFO - Iter [53000/80000] lr: 4.846e-07, eta: 14:29:40, time: 2.458, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7770, decode.loss_mask: 0.7546, decode.loss_dice: 1.1838, decode.d0.loss_cls: 2.5634, decode.d0.loss_mask: 0.7769, decode.d0.loss_dice: 1.3656, decode.d1.loss_cls: 0.8685, decode.d1.loss_mask: 0.7871, decode.d1.loss_dice: 1.2725, decode.d2.loss_cls: 0.8027, decode.d2.loss_mask: 0.7715, decode.d2.loss_dice: 1.2238, decode.d3.loss_cls: 0.7821, decode.d3.loss_mask: 0.7648, decode.d3.loss_dice: 1.2008, decode.d4.loss_cls: 0.7766, decode.d4.loss_mask: 0.7622, decode.d4.loss_dice: 1.1974, decode.d5.loss_cls: 0.7783, decode.d5.loss_mask: 0.7615, decode.d5.loss_dice: 1.1888, decode.d6.loss_cls: 0.7782, decode.d6.loss_mask: 0.7586, decode.d6.loss_dice: 1.1773, decode.d7.loss_cls: 0.7737, decode.d7.loss_mask: 0.7588, decode.d7.loss_dice: 1.1743, decode.d8.loss_cls: 0.7765, decode.d8.loss_mask: 0.7563, decode.d8.loss_dice: 1.1765, loss: 29.4900 2022-09-13 08:29:47,754 - mmseg - INFO - Iter [53050/80000] lr: 4.837e-07, eta: 14:28:01, time: 1.842, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7178, decode.loss_mask: 0.7325, decode.loss_dice: 1.1101, decode.d0.loss_cls: 2.4743, decode.d0.loss_mask: 0.7531, decode.d0.loss_dice: 1.2944, decode.d1.loss_cls: 0.7974, decode.d1.loss_mask: 0.7656, decode.d1.loss_dice: 1.2043, decode.d2.loss_cls: 0.7436, decode.d2.loss_mask: 0.7530, decode.d2.loss_dice: 1.1558, decode.d3.loss_cls: 0.7394, decode.d3.loss_mask: 0.7419, decode.d3.loss_dice: 1.1346, decode.d4.loss_cls: 0.7324, decode.d4.loss_mask: 0.7421, decode.d4.loss_dice: 1.1304, decode.d5.loss_cls: 0.7215, decode.d5.loss_mask: 0.7377, decode.d5.loss_dice: 1.1236, decode.d6.loss_cls: 0.7251, decode.d6.loss_mask: 0.7319, decode.d6.loss_dice: 1.1112, decode.d7.loss_cls: 0.7241, decode.d7.loss_mask: 0.7312, decode.d7.loss_dice: 1.1145, decode.d8.loss_cls: 0.7237, decode.d8.loss_mask: 0.7314, decode.d8.loss_dice: 1.1153, loss: 28.0141 2022-09-13 08:31:21,560 - mmseg - INFO - Iter [53100/80000] lr: 4.828e-07, eta: 14:26:23, time: 1.876, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7466, decode.loss_mask: 0.7468, decode.loss_dice: 1.1598, decode.d0.loss_cls: 2.5239, decode.d0.loss_mask: 0.7604, decode.d0.loss_dice: 1.3254, decode.d1.loss_cls: 0.8237, decode.d1.loss_mask: 0.7830, decode.d1.loss_dice: 1.2340, decode.d2.loss_cls: 0.7745, decode.d2.loss_mask: 0.7685, decode.d2.loss_dice: 1.2033, decode.d3.loss_cls: 0.7584, decode.d3.loss_mask: 0.7612, decode.d3.loss_dice: 1.1776, decode.d4.loss_cls: 0.7577, decode.d4.loss_mask: 0.7582, decode.d4.loss_dice: 1.1757, decode.d5.loss_cls: 0.7539, decode.d5.loss_mask: 0.7536, decode.d5.loss_dice: 1.1673, decode.d6.loss_cls: 0.7516, decode.d6.loss_mask: 0.7490, decode.d6.loss_dice: 1.1588, decode.d7.loss_cls: 0.7495, decode.d7.loss_mask: 0.7463, decode.d7.loss_dice: 1.1555, decode.d8.loss_cls: 0.7493, decode.d8.loss_mask: 0.7482, decode.d8.loss_dice: 1.1625, loss: 28.8840 2022-09-13 08:32:53,314 - mmseg - INFO - Iter [53150/80000] lr: 4.819e-07, eta: 14:24:43, time: 1.835, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7456, decode.loss_mask: 0.7524, decode.loss_dice: 1.1729, decode.d0.loss_cls: 2.5561, decode.d0.loss_mask: 0.7591, decode.d0.loss_dice: 1.3510, decode.d1.loss_cls: 0.8270, decode.d1.loss_mask: 0.7746, decode.d1.loss_dice: 1.2618, decode.d2.loss_cls: 0.7747, decode.d2.loss_mask: 0.7666, decode.d2.loss_dice: 1.2230, decode.d3.loss_cls: 0.7617, decode.d3.loss_mask: 0.7637, decode.d3.loss_dice: 1.1980, decode.d4.loss_cls: 0.7622, decode.d4.loss_mask: 0.7635, decode.d4.loss_dice: 1.1900, decode.d5.loss_cls: 0.7471, decode.d5.loss_mask: 0.7609, decode.d5.loss_dice: 1.1841, decode.d6.loss_cls: 0.7502, decode.d6.loss_mask: 0.7577, decode.d6.loss_dice: 1.1733, decode.d7.loss_cls: 0.7504, decode.d7.loss_mask: 0.7569, decode.d7.loss_dice: 1.1689, decode.d8.loss_cls: 0.7466, decode.d8.loss_mask: 0.7558, decode.d8.loss_dice: 1.1757, loss: 29.1318 2022-09-13 08:34:24,905 - mmseg - INFO - Iter [53200/80000] lr: 4.810e-07, eta: 14:23:04, time: 1.831, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7670, decode.loss_mask: 0.7571, decode.loss_dice: 1.1558, decode.d0.loss_cls: 2.4960, decode.d0.loss_mask: 0.7739, decode.d0.loss_dice: 1.3516, decode.d1.loss_cls: 0.8452, decode.d1.loss_mask: 0.7846, decode.d1.loss_dice: 1.2570, decode.d2.loss_cls: 0.7934, decode.d2.loss_mask: 0.7744, decode.d2.loss_dice: 1.2075, decode.d3.loss_cls: 0.7744, decode.d3.loss_mask: 0.7647, decode.d3.loss_dice: 1.1870, decode.d4.loss_cls: 0.7746, decode.d4.loss_mask: 0.7625, decode.d4.loss_dice: 1.1775, decode.d5.loss_cls: 0.7617, decode.d5.loss_mask: 0.7620, decode.d5.loss_dice: 1.1808, decode.d6.loss_cls: 0.7669, decode.d6.loss_mask: 0.7564, decode.d6.loss_dice: 1.1656, decode.d7.loss_cls: 0.7585, decode.d7.loss_mask: 0.7593, decode.d7.loss_dice: 1.1674, decode.d8.loss_cls: 0.7665, decode.d8.loss_mask: 0.7530, decode.d8.loss_dice: 1.1559, loss: 29.1583 2022-09-13 08:35:57,366 - mmseg - INFO - Iter [53250/80000] lr: 4.801e-07, eta: 14:21:26, time: 1.850, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7452, decode.loss_mask: 0.7627, decode.loss_dice: 1.1705, decode.d0.loss_cls: 2.4809, decode.d0.loss_mask: 0.7740, decode.d0.loss_dice: 1.3558, decode.d1.loss_cls: 0.8266, decode.d1.loss_mask: 0.7989, decode.d1.loss_dice: 1.2653, decode.d2.loss_cls: 0.7693, decode.d2.loss_mask: 0.7805, decode.d2.loss_dice: 1.2125, decode.d3.loss_cls: 0.7587, decode.d3.loss_mask: 0.7678, decode.d3.loss_dice: 1.1912, decode.d4.loss_cls: 0.7538, decode.d4.loss_mask: 0.7680, decode.d4.loss_dice: 1.1870, decode.d5.loss_cls: 0.7444, decode.d5.loss_mask: 0.7685, decode.d5.loss_dice: 1.1804, decode.d6.loss_cls: 0.7492, decode.d6.loss_mask: 0.7656, decode.d6.loss_dice: 1.1651, decode.d7.loss_cls: 0.7478, decode.d7.loss_mask: 0.7672, decode.d7.loss_dice: 1.1695, decode.d8.loss_cls: 0.7460, decode.d8.loss_mask: 0.7631, decode.d8.loss_dice: 1.1722, loss: 29.1078 2022-09-13 08:37:30,311 - mmseg - INFO - Iter [53300/80000] lr: 4.792e-07, eta: 14:19:47, time: 1.859, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7420, decode.loss_mask: 0.7528, decode.loss_dice: 1.1411, decode.d0.loss_cls: 2.5032, decode.d0.loss_mask: 0.7678, decode.d0.loss_dice: 1.3228, decode.d1.loss_cls: 0.8125, decode.d1.loss_mask: 0.7845, decode.d1.loss_dice: 1.2306, decode.d2.loss_cls: 0.7664, decode.d2.loss_mask: 0.7712, decode.d2.loss_dice: 1.1808, decode.d3.loss_cls: 0.7607, decode.d3.loss_mask: 0.7590, decode.d3.loss_dice: 1.1627, decode.d4.loss_cls: 0.7551, decode.d4.loss_mask: 0.7570, decode.d4.loss_dice: 1.1538, decode.d5.loss_cls: 0.7458, decode.d5.loss_mask: 0.7561, decode.d5.loss_dice: 1.1526, decode.d6.loss_cls: 0.7471, decode.d6.loss_mask: 0.7541, decode.d6.loss_dice: 1.1442, decode.d7.loss_cls: 0.7418, decode.d7.loss_mask: 0.7530, decode.d7.loss_dice: 1.1470, decode.d8.loss_cls: 0.7446, decode.d8.loss_mask: 0.7533, decode.d8.loss_dice: 1.1469, loss: 28.7105 2022-09-13 08:39:03,195 - mmseg - INFO - Iter [53350/80000] lr: 4.783e-07, eta: 14:18:09, time: 1.858, data_time: 0.011, memory: 42763, decode.loss_cls: 0.7795, decode.loss_mask: 0.7490, decode.loss_dice: 1.1682, decode.d0.loss_cls: 2.5130, decode.d0.loss_mask: 0.7574, decode.d0.loss_dice: 1.3525, decode.d1.loss_cls: 0.8716, decode.d1.loss_mask: 0.7749, decode.d1.loss_dice: 1.2589, decode.d2.loss_cls: 0.8116, decode.d2.loss_mask: 0.7658, decode.d2.loss_dice: 1.2060, decode.d3.loss_cls: 0.7994, decode.d3.loss_mask: 0.7542, decode.d3.loss_dice: 1.1808, decode.d4.loss_cls: 0.7930, decode.d4.loss_mask: 0.7567, decode.d4.loss_dice: 1.1781, decode.d5.loss_cls: 0.7903, decode.d5.loss_mask: 0.7570, decode.d5.loss_dice: 1.1752, decode.d6.loss_cls: 0.7808, decode.d6.loss_mask: 0.7496, decode.d6.loss_dice: 1.1664, decode.d7.loss_cls: 0.7756, decode.d7.loss_mask: 0.7454, decode.d7.loss_dice: 1.1668, decode.d8.loss_cls: 0.7786, decode.d8.loss_mask: 0.7467, decode.d8.loss_dice: 1.1686, loss: 29.2717 2022-09-13 08:40:35,915 - mmseg - INFO - Iter [53400/80000] lr: 4.774e-07, eta: 14:16:30, time: 1.854, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7331, decode.loss_mask: 0.7485, decode.loss_dice: 1.1672, decode.d0.loss_cls: 2.4952, decode.d0.loss_mask: 0.7699, decode.d0.loss_dice: 1.3553, decode.d1.loss_cls: 0.8166, decode.d1.loss_mask: 0.7867, decode.d1.loss_dice: 1.2717, decode.d2.loss_cls: 0.7611, decode.d2.loss_mask: 0.7661, decode.d2.loss_dice: 1.2144, decode.d3.loss_cls: 0.7573, decode.d3.loss_mask: 0.7598, decode.d3.loss_dice: 1.1898, decode.d4.loss_cls: 0.7521, decode.d4.loss_mask: 0.7558, decode.d4.loss_dice: 1.1849, decode.d5.loss_cls: 0.7429, decode.d5.loss_mask: 0.7575, decode.d5.loss_dice: 1.1787, decode.d6.loss_cls: 0.7437, decode.d6.loss_mask: 0.7540, decode.d6.loss_dice: 1.1737, decode.d7.loss_cls: 0.7407, decode.d7.loss_mask: 0.7492, decode.d7.loss_dice: 1.1713, decode.d8.loss_cls: 0.7350, decode.d8.loss_mask: 0.7520, decode.d8.loss_dice: 1.1657, loss: 28.9498 2022-09-13 08:42:07,898 - mmseg - INFO - Iter [53450/80000] lr: 4.765e-07, eta: 14:14:51, time: 1.839, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7998, decode.loss_mask: 0.7645, decode.loss_dice: 1.1798, decode.d0.loss_cls: 2.5767, decode.d0.loss_mask: 0.7774, decode.d0.loss_dice: 1.3821, decode.d1.loss_cls: 0.8855, decode.d1.loss_mask: 0.7942, decode.d1.loss_dice: 1.2889, decode.d2.loss_cls: 0.8323, decode.d2.loss_mask: 0.7769, decode.d2.loss_dice: 1.2263, decode.d3.loss_cls: 0.8196, decode.d3.loss_mask: 0.7734, decode.d3.loss_dice: 1.2058, decode.d4.loss_cls: 0.8087, decode.d4.loss_mask: 0.7670, decode.d4.loss_dice: 1.2027, decode.d5.loss_cls: 0.8120, decode.d5.loss_mask: 0.7656, decode.d5.loss_dice: 1.1922, decode.d6.loss_cls: 0.8032, decode.d6.loss_mask: 0.7651, decode.d6.loss_dice: 1.1789, decode.d7.loss_cls: 0.7955, decode.d7.loss_mask: 0.7645, decode.d7.loss_dice: 1.1825, decode.d8.loss_cls: 0.7980, decode.d8.loss_mask: 0.7634, decode.d8.loss_dice: 1.1871, loss: 29.8695 2022-09-13 08:43:40,024 - mmseg - INFO - Iter [53500/80000] lr: 4.756e-07, eta: 14:13:12, time: 1.843, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7641, decode.loss_mask: 0.7637, decode.loss_dice: 1.1760, decode.d0.loss_cls: 2.5307, decode.d0.loss_mask: 0.7851, decode.d0.loss_dice: 1.3633, decode.d1.loss_cls: 0.8447, decode.d1.loss_mask: 0.8015, decode.d1.loss_dice: 1.2789, decode.d2.loss_cls: 0.7918, decode.d2.loss_mask: 0.7858, decode.d2.loss_dice: 1.2261, decode.d3.loss_cls: 0.7816, decode.d3.loss_mask: 0.7711, decode.d3.loss_dice: 1.2037, decode.d4.loss_cls: 0.7751, decode.d4.loss_mask: 0.7679, decode.d4.loss_dice: 1.2008, decode.d5.loss_cls: 0.7727, decode.d5.loss_mask: 0.7675, decode.d5.loss_dice: 1.1899, decode.d6.loss_cls: 0.7648, decode.d6.loss_mask: 0.7610, decode.d6.loss_dice: 1.1774, decode.d7.loss_cls: 0.7647, decode.d7.loss_mask: 0.7598, decode.d7.loss_dice: 1.1764, decode.d8.loss_cls: 0.7624, decode.d8.loss_mask: 0.7619, decode.d8.loss_dice: 1.1760, loss: 29.4465 2022-09-13 08:45:12,932 - mmseg - INFO - Iter [53550/80000] lr: 4.747e-07, eta: 14:11:34, time: 1.858, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7752, decode.loss_mask: 0.7290, decode.loss_dice: 1.1580, decode.d0.loss_cls: 2.4943, decode.d0.loss_mask: 0.7501, decode.d0.loss_dice: 1.3403, decode.d1.loss_cls: 0.8521, decode.d1.loss_mask: 0.7603, decode.d1.loss_dice: 1.2436, decode.d2.loss_cls: 0.8060, decode.d2.loss_mask: 0.7508, decode.d2.loss_dice: 1.1938, decode.d3.loss_cls: 0.7915, decode.d3.loss_mask: 0.7422, decode.d3.loss_dice: 1.1845, decode.d4.loss_cls: 0.7852, decode.d4.loss_mask: 0.7339, decode.d4.loss_dice: 1.1778, decode.d5.loss_cls: 0.7835, decode.d5.loss_mask: 0.7342, decode.d5.loss_dice: 1.1715, decode.d6.loss_cls: 0.7801, decode.d6.loss_mask: 0.7330, decode.d6.loss_dice: 1.1630, decode.d7.loss_cls: 0.7746, decode.d7.loss_mask: 0.7317, decode.d7.loss_dice: 1.1575, decode.d8.loss_cls: 0.7762, decode.d8.loss_mask: 0.7309, decode.d8.loss_dice: 1.1636, loss: 28.9685 2022-09-13 08:46:45,095 - mmseg - INFO - Iter [53600/80000] lr: 4.738e-07, eta: 14:09:55, time: 1.843, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7261, decode.loss_mask: 0.7590, decode.loss_dice: 1.1503, decode.d0.loss_cls: 2.4425, decode.d0.loss_mask: 0.7681, decode.d0.loss_dice: 1.3385, decode.d1.loss_cls: 0.7986, decode.d1.loss_mask: 0.7840, decode.d1.loss_dice: 1.2532, decode.d2.loss_cls: 0.7411, decode.d2.loss_mask: 0.7749, decode.d2.loss_dice: 1.1960, decode.d3.loss_cls: 0.7355, decode.d3.loss_mask: 0.7685, decode.d3.loss_dice: 1.1733, decode.d4.loss_cls: 0.7338, decode.d4.loss_mask: 0.7666, decode.d4.loss_dice: 1.1659, decode.d5.loss_cls: 0.7248, decode.d5.loss_mask: 0.7631, decode.d5.loss_dice: 1.1642, decode.d6.loss_cls: 0.7240, decode.d6.loss_mask: 0.7573, decode.d6.loss_dice: 1.1540, decode.d7.loss_cls: 0.7228, decode.d7.loss_mask: 0.7564, decode.d7.loss_dice: 1.1559, decode.d8.loss_cls: 0.7204, decode.d8.loss_mask: 0.7564, decode.d8.loss_dice: 1.1534, loss: 28.6288 2022-09-13 08:48:18,486 - mmseg - INFO - Iter [53650/80000] lr: 4.729e-07, eta: 14:08:17, time: 1.868, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7506, decode.loss_mask: 0.7442, decode.loss_dice: 1.1569, decode.d0.loss_cls: 2.4745, decode.d0.loss_mask: 0.7691, decode.d0.loss_dice: 1.3441, decode.d1.loss_cls: 0.8479, decode.d1.loss_mask: 0.7756, decode.d1.loss_dice: 1.2560, decode.d2.loss_cls: 0.7896, decode.d2.loss_mask: 0.7598, decode.d2.loss_dice: 1.1956, decode.d3.loss_cls: 0.7735, decode.d3.loss_mask: 0.7518, decode.d3.loss_dice: 1.1760, decode.d4.loss_cls: 0.7683, decode.d4.loss_mask: 0.7480, decode.d4.loss_dice: 1.1784, decode.d5.loss_cls: 0.7607, decode.d5.loss_mask: 0.7496, decode.d5.loss_dice: 1.1689, decode.d6.loss_cls: 0.7522, decode.d6.loss_mask: 0.7473, decode.d6.loss_dice: 1.1526, decode.d7.loss_cls: 0.7531, decode.d7.loss_mask: 0.7450, decode.d7.loss_dice: 1.1547, decode.d8.loss_cls: 0.7534, decode.d8.loss_mask: 0.7451, decode.d8.loss_dice: 1.1547, loss: 28.8972 2022-09-13 08:49:52,202 - mmseg - INFO - Iter [53700/80000] lr: 4.720e-07, eta: 14:06:39, time: 1.874, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7468, decode.loss_mask: 0.7569, decode.loss_dice: 1.1366, decode.d0.loss_cls: 2.4722, decode.d0.loss_mask: 0.7845, decode.d0.loss_dice: 1.3139, decode.d1.loss_cls: 0.8287, decode.d1.loss_mask: 0.7865, decode.d1.loss_dice: 1.2183, decode.d2.loss_cls: 0.7774, decode.d2.loss_mask: 0.7726, decode.d2.loss_dice: 1.1749, decode.d3.loss_cls: 0.7629, decode.d3.loss_mask: 0.7685, decode.d3.loss_dice: 1.1533, decode.d4.loss_cls: 0.7612, decode.d4.loss_mask: 0.7652, decode.d4.loss_dice: 1.1494, decode.d5.loss_cls: 0.7512, decode.d5.loss_mask: 0.7610, decode.d5.loss_dice: 1.1439, decode.d6.loss_cls: 0.7476, decode.d6.loss_mask: 0.7590, decode.d6.loss_dice: 1.1336, decode.d7.loss_cls: 0.7450, decode.d7.loss_mask: 0.7578, decode.d7.loss_dice: 1.1382, decode.d8.loss_cls: 0.7413, decode.d8.loss_mask: 0.7572, decode.d8.loss_dice: 1.1354, loss: 28.7010 2022-09-13 08:51:25,071 - mmseg - INFO - Iter [53750/80000] lr: 4.711e-07, eta: 14:05:01, time: 1.857, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7595, decode.loss_mask: 0.7668, decode.loss_dice: 1.1614, decode.d0.loss_cls: 2.4857, decode.d0.loss_mask: 0.7839, decode.d0.loss_dice: 1.3524, decode.d1.loss_cls: 0.8397, decode.d1.loss_mask: 0.8004, decode.d1.loss_dice: 1.2575, decode.d2.loss_cls: 0.7904, decode.d2.loss_mask: 0.7804, decode.d2.loss_dice: 1.2017, decode.d3.loss_cls: 0.7755, decode.d3.loss_mask: 0.7729, decode.d3.loss_dice: 1.1772, decode.d4.loss_cls: 0.7753, decode.d4.loss_mask: 0.7677, decode.d4.loss_dice: 1.1720, decode.d5.loss_cls: 0.7654, decode.d5.loss_mask: 0.7671, decode.d5.loss_dice: 1.1752, decode.d6.loss_cls: 0.7577, decode.d6.loss_mask: 0.7644, decode.d6.loss_dice: 1.1612, decode.d7.loss_cls: 0.7623, decode.d7.loss_mask: 0.7652, decode.d7.loss_dice: 1.1583, decode.d8.loss_cls: 0.7625, decode.d8.loss_mask: 0.7673, decode.d8.loss_dice: 1.1610, loss: 29.1881 2022-09-13 08:52:58,704 - mmseg - INFO - Iter [53800/80000] lr: 4.702e-07, eta: 14:03:23, time: 1.873, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7535, decode.loss_mask: 0.7734, decode.loss_dice: 1.1675, decode.d0.loss_cls: 2.4908, decode.d0.loss_mask: 0.7871, decode.d0.loss_dice: 1.3412, decode.d1.loss_cls: 0.8187, decode.d1.loss_mask: 0.8063, decode.d1.loss_dice: 1.2586, decode.d2.loss_cls: 0.7709, decode.d2.loss_mask: 0.7901, decode.d2.loss_dice: 1.2069, decode.d3.loss_cls: 0.7646, decode.d3.loss_mask: 0.7842, decode.d3.loss_dice: 1.1856, decode.d4.loss_cls: 0.7660, decode.d4.loss_mask: 0.7782, decode.d4.loss_dice: 1.1852, decode.d5.loss_cls: 0.7564, decode.d5.loss_mask: 0.7778, decode.d5.loss_dice: 1.1831, decode.d6.loss_cls: 0.7581, decode.d6.loss_mask: 0.7746, decode.d6.loss_dice: 1.1669, decode.d7.loss_cls: 0.7510, decode.d7.loss_mask: 0.7777, decode.d7.loss_dice: 1.1735, decode.d8.loss_cls: 0.7475, decode.d8.loss_mask: 0.7770, decode.d8.loss_dice: 1.1658, loss: 29.2382 2022-09-13 08:54:32,010 - mmseg - INFO - Iter [53850/80000] lr: 4.693e-07, eta: 14:01:45, time: 1.866, data_time: 0.017, memory: 42763, decode.loss_cls: 0.7351, decode.loss_mask: 0.7485, decode.loss_dice: 1.1634, decode.d0.loss_cls: 2.4669, decode.d0.loss_mask: 0.7639, decode.d0.loss_dice: 1.3452, decode.d1.loss_cls: 0.8138, decode.d1.loss_mask: 0.7837, decode.d1.loss_dice: 1.2573, decode.d2.loss_cls: 0.7615, decode.d2.loss_mask: 0.7626, decode.d2.loss_dice: 1.2049, decode.d3.loss_cls: 0.7492, decode.d3.loss_mask: 0.7551, decode.d3.loss_dice: 1.1797, decode.d4.loss_cls: 0.7378, decode.d4.loss_mask: 0.7528, decode.d4.loss_dice: 1.1859, decode.d5.loss_cls: 0.7343, decode.d5.loss_mask: 0.7530, decode.d5.loss_dice: 1.1781, decode.d6.loss_cls: 0.7298, decode.d6.loss_mask: 0.7502, decode.d6.loss_dice: 1.1677, decode.d7.loss_cls: 0.7318, decode.d7.loss_mask: 0.7470, decode.d7.loss_dice: 1.1562, decode.d8.loss_cls: 0.7308, decode.d8.loss_mask: 0.7473, decode.d8.loss_dice: 1.1666, loss: 28.7599 2022-09-13 08:56:04,891 - mmseg - INFO - Iter [53900/80000] lr: 4.684e-07, eta: 14:00:06, time: 1.857, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7469, decode.loss_mask: 0.7421, decode.loss_dice: 1.1446, decode.d0.loss_cls: 2.4601, decode.d0.loss_mask: 0.7538, decode.d0.loss_dice: 1.3204, decode.d1.loss_cls: 0.8189, decode.d1.loss_mask: 0.7777, decode.d1.loss_dice: 1.2364, decode.d2.loss_cls: 0.7687, decode.d2.loss_mask: 0.7589, decode.d2.loss_dice: 1.1851, decode.d3.loss_cls: 0.7555, decode.d3.loss_mask: 0.7516, decode.d3.loss_dice: 1.1611, decode.d4.loss_cls: 0.7516, decode.d4.loss_mask: 0.7504, decode.d4.loss_dice: 1.1689, decode.d5.loss_cls: 0.7442, decode.d5.loss_mask: 0.7474, decode.d5.loss_dice: 1.1566, decode.d6.loss_cls: 0.7409, decode.d6.loss_mask: 0.7450, decode.d6.loss_dice: 1.1459, decode.d7.loss_cls: 0.7378, decode.d7.loss_mask: 0.7475, decode.d7.loss_dice: 1.1463, decode.d8.loss_cls: 0.7393, decode.d8.loss_mask: 0.7472, decode.d8.loss_dice: 1.1463, loss: 28.5972 2022-09-13 08:57:39,201 - mmseg - INFO - Iter [53950/80000] lr: 4.675e-07, eta: 13:58:29, time: 1.885, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7425, decode.loss_mask: 0.7458, decode.loss_dice: 1.1650, decode.d0.loss_cls: 2.5013, decode.d0.loss_mask: 0.7715, decode.d0.loss_dice: 1.3390, decode.d1.loss_cls: 0.8269, decode.d1.loss_mask: 0.7850, decode.d1.loss_dice: 1.2531, decode.d2.loss_cls: 0.7706, decode.d2.loss_mask: 0.7708, decode.d2.loss_dice: 1.2121, decode.d3.loss_cls: 0.7653, decode.d3.loss_mask: 0.7607, decode.d3.loss_dice: 1.1850, decode.d4.loss_cls: 0.7541, decode.d4.loss_mask: 0.7568, decode.d4.loss_dice: 1.1857, decode.d5.loss_cls: 0.7574, decode.d5.loss_mask: 0.7522, decode.d5.loss_dice: 1.1760, decode.d6.loss_cls: 0.7514, decode.d6.loss_mask: 0.7478, decode.d6.loss_dice: 1.1592, decode.d7.loss_cls: 0.7458, decode.d7.loss_mask: 0.7471, decode.d7.loss_dice: 1.1669, decode.d8.loss_cls: 0.7465, decode.d8.loss_mask: 0.7443, decode.d8.loss_dice: 1.1673, loss: 28.9531 2022-09-13 08:59:12,185 - mmseg - INFO - Saving checkpoint at 54000 iterations 2022-09-13 08:59:41,382 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 08:59:41,391 - mmseg - INFO - Iter [54000/80000] lr: 4.667e-07, eta: 13:57:04, time: 2.443, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7624, decode.loss_mask: 0.7418, decode.loss_dice: 1.1749, decode.d0.loss_cls: 2.5335, decode.d0.loss_mask: 0.7668, decode.d0.loss_dice: 1.3640, decode.d1.loss_cls: 0.8458, decode.d1.loss_mask: 0.7797, decode.d1.loss_dice: 1.2710, decode.d2.loss_cls: 0.7964, decode.d2.loss_mask: 0.7646, decode.d2.loss_dice: 1.2211, decode.d3.loss_cls: 0.7839, decode.d3.loss_mask: 0.7580, decode.d3.loss_dice: 1.2009, decode.d4.loss_cls: 0.7740, decode.d4.loss_mask: 0.7566, decode.d4.loss_dice: 1.2077, decode.d5.loss_cls: 0.7733, decode.d5.loss_mask: 0.7531, decode.d5.loss_dice: 1.1896, decode.d6.loss_cls: 0.7693, decode.d6.loss_mask: 0.7444, decode.d6.loss_dice: 1.1770, decode.d7.loss_cls: 0.7658, decode.d7.loss_mask: 0.7453, decode.d7.loss_dice: 1.1855, decode.d8.loss_cls: 0.7657, decode.d8.loss_mask: 0.7440, decode.d8.loss_dice: 1.1811, loss: 29.2972 2022-09-13 09:01:14,178 - mmseg - INFO - Iter [54050/80000] lr: 4.658e-07, eta: 13:55:26, time: 1.858, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7783, decode.loss_mask: 0.7354, decode.loss_dice: 1.1709, decode.d0.loss_cls: 2.5084, decode.d0.loss_mask: 0.7516, decode.d0.loss_dice: 1.3572, decode.d1.loss_cls: 0.8570, decode.d1.loss_mask: 0.7660, decode.d1.loss_dice: 1.2608, decode.d2.loss_cls: 0.8098, decode.d2.loss_mask: 0.7503, decode.d2.loss_dice: 1.2118, decode.d3.loss_cls: 0.7936, decode.d3.loss_mask: 0.7384, decode.d3.loss_dice: 1.1850, decode.d4.loss_cls: 0.7891, decode.d4.loss_mask: 0.7403, decode.d4.loss_dice: 1.1842, decode.d5.loss_cls: 0.7921, decode.d5.loss_mask: 0.7350, decode.d5.loss_dice: 1.1776, decode.d6.loss_cls: 0.7834, decode.d6.loss_mask: 0.7340, decode.d6.loss_dice: 1.1659, decode.d7.loss_cls: 0.7832, decode.d7.loss_mask: 0.7361, decode.d7.loss_dice: 1.1699, decode.d8.loss_cls: 0.7798, decode.d8.loss_mask: 0.7352, decode.d8.loss_dice: 1.1716, loss: 29.1517 2022-09-13 09:02:46,696 - mmseg - INFO - Iter [54100/80000] lr: 4.649e-07, eta: 13:53:47, time: 1.850, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7539, decode.loss_mask: 0.7566, decode.loss_dice: 1.1513, decode.d0.loss_cls: 2.4952, decode.d0.loss_mask: 0.7716, decode.d0.loss_dice: 1.3192, decode.d1.loss_cls: 0.8368, decode.d1.loss_mask: 0.7822, decode.d1.loss_dice: 1.2451, decode.d2.loss_cls: 0.7793, decode.d2.loss_mask: 0.7701, decode.d2.loss_dice: 1.1947, decode.d3.loss_cls: 0.7654, decode.d3.loss_mask: 0.7686, decode.d3.loss_dice: 1.1715, decode.d4.loss_cls: 0.7589, decode.d4.loss_mask: 0.7592, decode.d4.loss_dice: 1.1661, decode.d5.loss_cls: 0.7581, decode.d5.loss_mask: 0.7618, decode.d5.loss_dice: 1.1596, decode.d6.loss_cls: 0.7537, decode.d6.loss_mask: 0.7597, decode.d6.loss_dice: 1.1582, decode.d7.loss_cls: 0.7483, decode.d7.loss_mask: 0.7592, decode.d7.loss_dice: 1.1626, decode.d8.loss_cls: 0.7538, decode.d8.loss_mask: 0.7546, decode.d8.loss_dice: 1.1571, loss: 28.9326 2022-09-13 09:04:18,858 - mmseg - INFO - Iter [54150/80000] lr: 4.640e-07, eta: 13:52:09, time: 1.843, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7713, decode.loss_mask: 0.7476, decode.loss_dice: 1.1641, decode.d0.loss_cls: 2.5060, decode.d0.loss_mask: 0.7658, decode.d0.loss_dice: 1.3435, decode.d1.loss_cls: 0.8448, decode.d1.loss_mask: 0.7806, decode.d1.loss_dice: 1.2621, decode.d2.loss_cls: 0.7938, decode.d2.loss_mask: 0.7674, decode.d2.loss_dice: 1.2072, decode.d3.loss_cls: 0.7893, decode.d3.loss_mask: 0.7574, decode.d3.loss_dice: 1.1837, decode.d4.loss_cls: 0.7867, decode.d4.loss_mask: 0.7508, decode.d4.loss_dice: 1.1803, decode.d5.loss_cls: 0.7765, decode.d5.loss_mask: 0.7487, decode.d5.loss_dice: 1.1803, decode.d6.loss_cls: 0.7676, decode.d6.loss_mask: 0.7452, decode.d6.loss_dice: 1.1668, decode.d7.loss_cls: 0.7689, decode.d7.loss_mask: 0.7492, decode.d7.loss_dice: 1.1653, decode.d8.loss_cls: 0.7666, decode.d8.loss_mask: 0.7484, decode.d8.loss_dice: 1.1665, loss: 29.1521 2022-09-13 09:05:52,346 - mmseg - INFO - Iter [54200/80000] lr: 4.631e-07, eta: 13:50:31, time: 1.869, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7077, decode.loss_mask: 0.7360, decode.loss_dice: 1.1699, decode.d0.loss_cls: 2.4448, decode.d0.loss_mask: 0.7526, decode.d0.loss_dice: 1.3348, decode.d1.loss_cls: 0.7867, decode.d1.loss_mask: 0.7653, decode.d1.loss_dice: 1.2643, decode.d2.loss_cls: 0.7340, decode.d2.loss_mask: 0.7518, decode.d2.loss_dice: 1.2255, decode.d3.loss_cls: 0.7210, decode.d3.loss_mask: 0.7469, decode.d3.loss_dice: 1.1957, decode.d4.loss_cls: 0.7178, decode.d4.loss_mask: 0.7412, decode.d4.loss_dice: 1.1935, decode.d5.loss_cls: 0.7151, decode.d5.loss_mask: 0.7386, decode.d5.loss_dice: 1.1826, decode.d6.loss_cls: 0.7097, decode.d6.loss_mask: 0.7357, decode.d6.loss_dice: 1.1720, decode.d7.loss_cls: 0.7089, decode.d7.loss_mask: 0.7352, decode.d7.loss_dice: 1.1734, decode.d8.loss_cls: 0.7088, decode.d8.loss_mask: 0.7342, decode.d8.loss_dice: 1.1744, loss: 28.4779 2022-09-13 09:07:24,022 - mmseg - INFO - Iter [54250/80000] lr: 4.622e-07, eta: 13:48:52, time: 1.834, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7656, decode.loss_mask: 0.7421, decode.loss_dice: 1.1636, decode.d0.loss_cls: 2.5450, decode.d0.loss_mask: 0.7613, decode.d0.loss_dice: 1.3477, decode.d1.loss_cls: 0.8602, decode.d1.loss_mask: 0.7679, decode.d1.loss_dice: 1.2583, decode.d2.loss_cls: 0.7943, decode.d2.loss_mask: 0.7613, decode.d2.loss_dice: 1.2062, decode.d3.loss_cls: 0.7859, decode.d3.loss_mask: 0.7534, decode.d3.loss_dice: 1.1849, decode.d4.loss_cls: 0.7758, decode.d4.loss_mask: 0.7445, decode.d4.loss_dice: 1.1810, decode.d5.loss_cls: 0.7735, decode.d5.loss_mask: 0.7459, decode.d5.loss_dice: 1.1704, decode.d6.loss_cls: 0.7707, decode.d6.loss_mask: 0.7401, decode.d6.loss_dice: 1.1597, decode.d7.loss_cls: 0.7663, decode.d7.loss_mask: 0.7424, decode.d7.loss_dice: 1.1649, decode.d8.loss_cls: 0.7683, decode.d8.loss_mask: 0.7423, decode.d8.loss_dice: 1.1600, loss: 29.1035 2022-09-13 09:08:56,222 - mmseg - INFO - Iter [54300/80000] lr: 4.613e-07, eta: 13:47:13, time: 1.844, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7764, decode.loss_mask: 0.7491, decode.loss_dice: 1.1662, decode.d0.loss_cls: 2.5151, decode.d0.loss_mask: 0.7648, decode.d0.loss_dice: 1.3642, decode.d1.loss_cls: 0.8586, decode.d1.loss_mask: 0.7873, decode.d1.loss_dice: 1.2672, decode.d2.loss_cls: 0.8064, decode.d2.loss_mask: 0.7689, decode.d2.loss_dice: 1.2132, decode.d3.loss_cls: 0.7957, decode.d3.loss_mask: 0.7524, decode.d3.loss_dice: 1.1893, decode.d4.loss_cls: 0.7878, decode.d4.loss_mask: 0.7534, decode.d4.loss_dice: 1.1910, decode.d5.loss_cls: 0.7857, decode.d5.loss_mask: 0.7531, decode.d5.loss_dice: 1.1863, decode.d6.loss_cls: 0.7806, decode.d6.loss_mask: 0.7484, decode.d6.loss_dice: 1.1735, decode.d7.loss_cls: 0.7815, decode.d7.loss_mask: 0.7458, decode.d7.loss_dice: 1.1686, decode.d8.loss_cls: 0.7812, decode.d8.loss_mask: 0.7489, decode.d8.loss_dice: 1.1678, loss: 29.3284 2022-09-13 09:10:30,358 - mmseg - INFO - Iter [54350/80000] lr: 4.604e-07, eta: 13:45:35, time: 1.875, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7613, decode.loss_mask: 0.7682, decode.loss_dice: 1.1548, decode.d0.loss_cls: 2.5008, decode.d0.loss_mask: 0.7908, decode.d0.loss_dice: 1.3317, decode.d1.loss_cls: 0.8355, decode.d1.loss_mask: 0.8043, decode.d1.loss_dice: 1.2413, decode.d2.loss_cls: 0.7866, decode.d2.loss_mask: 0.7850, decode.d2.loss_dice: 1.2024, decode.d3.loss_cls: 0.7852, decode.d3.loss_mask: 0.7741, decode.d3.loss_dice: 1.1807, decode.d4.loss_cls: 0.7807, decode.d4.loss_mask: 0.7713, decode.d4.loss_dice: 1.1756, decode.d5.loss_cls: 0.7697, decode.d5.loss_mask: 0.7668, decode.d5.loss_dice: 1.1714, decode.d6.loss_cls: 0.7673, decode.d6.loss_mask: 0.7612, decode.d6.loss_dice: 1.1542, decode.d7.loss_cls: 0.7631, decode.d7.loss_mask: 0.7665, decode.d7.loss_dice: 1.1543, decode.d8.loss_cls: 0.7609, decode.d8.loss_mask: 0.7654, decode.d8.loss_dice: 1.1534, loss: 29.1845 2022-09-13 09:12:02,949 - mmseg - INFO - Iter [54400/80000] lr: 4.595e-07, eta: 13:43:57, time: 1.860, data_time: 0.021, memory: 42763, decode.loss_cls: 0.7573, decode.loss_mask: 0.7677, decode.loss_dice: 1.1710, decode.d0.loss_cls: 2.5085, decode.d0.loss_mask: 0.7835, decode.d0.loss_dice: 1.3575, decode.d1.loss_cls: 0.8444, decode.d1.loss_mask: 0.8045, decode.d1.loss_dice: 1.2668, decode.d2.loss_cls: 0.7767, decode.d2.loss_mask: 0.7889, decode.d2.loss_dice: 1.2206, decode.d3.loss_cls: 0.7667, decode.d3.loss_mask: 0.7811, decode.d3.loss_dice: 1.1954, decode.d4.loss_cls: 0.7671, decode.d4.loss_mask: 0.7749, decode.d4.loss_dice: 1.1897, decode.d5.loss_cls: 0.7602, decode.d5.loss_mask: 0.7739, decode.d5.loss_dice: 1.1866, decode.d6.loss_cls: 0.7570, decode.d6.loss_mask: 0.7692, decode.d6.loss_dice: 1.1721, decode.d7.loss_cls: 0.7587, decode.d7.loss_mask: 0.7671, decode.d7.loss_dice: 1.1717, decode.d8.loss_cls: 0.7577, decode.d8.loss_mask: 0.7664, decode.d8.loss_dice: 1.1720, loss: 29.3349 2022-09-13 09:13:35,343 - mmseg - INFO - Iter [54450/80000] lr: 4.586e-07, eta: 13:42:19, time: 1.848, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7579, decode.loss_mask: 0.7522, decode.loss_dice: 1.1387, decode.d0.loss_cls: 2.4887, decode.d0.loss_mask: 0.7665, decode.d0.loss_dice: 1.3339, decode.d1.loss_cls: 0.8386, decode.d1.loss_mask: 0.7858, decode.d1.loss_dice: 1.2303, decode.d2.loss_cls: 0.7861, decode.d2.loss_mask: 0.7676, decode.d2.loss_dice: 1.1775, decode.d3.loss_cls: 0.7690, decode.d3.loss_mask: 0.7596, decode.d3.loss_dice: 1.1544, decode.d4.loss_cls: 0.7672, decode.d4.loss_mask: 0.7570, decode.d4.loss_dice: 1.1553, decode.d5.loss_cls: 0.7622, decode.d5.loss_mask: 0.7528, decode.d5.loss_dice: 1.1487, decode.d6.loss_cls: 0.7599, decode.d6.loss_mask: 0.7578, decode.d6.loss_dice: 1.1419, decode.d7.loss_cls: 0.7609, decode.d7.loss_mask: 0.7523, decode.d7.loss_dice: 1.1442, decode.d8.loss_cls: 0.7536, decode.d8.loss_mask: 0.7568, decode.d8.loss_dice: 1.1482, loss: 28.8258 2022-09-13 09:15:07,547 - mmseg - INFO - Iter [54500/80000] lr: 4.577e-07, eta: 13:40:40, time: 1.844, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7048, decode.loss_mask: 0.7316, decode.loss_dice: 1.1197, decode.d0.loss_cls: 2.4351, decode.d0.loss_mask: 0.7538, decode.d0.loss_dice: 1.3017, decode.d1.loss_cls: 0.8021, decode.d1.loss_mask: 0.7609, decode.d1.loss_dice: 1.2134, decode.d2.loss_cls: 0.7535, decode.d2.loss_mask: 0.7448, decode.d2.loss_dice: 1.1700, decode.d3.loss_cls: 0.7360, decode.d3.loss_mask: 0.7358, decode.d3.loss_dice: 1.1430, decode.d4.loss_cls: 0.7307, decode.d4.loss_mask: 0.7329, decode.d4.loss_dice: 1.1439, decode.d5.loss_cls: 0.7173, decode.d5.loss_mask: 0.7307, decode.d5.loss_dice: 1.1357, decode.d6.loss_cls: 0.7195, decode.d6.loss_mask: 0.7279, decode.d6.loss_dice: 1.1258, decode.d7.loss_cls: 0.7137, decode.d7.loss_mask: 0.7280, decode.d7.loss_dice: 1.1316, decode.d8.loss_cls: 0.7045, decode.d8.loss_mask: 0.7304, decode.d8.loss_dice: 1.1321, loss: 28.0110 2022-09-13 09:16:40,148 - mmseg - INFO - Iter [54550/80000] lr: 4.568e-07, eta: 13:39:02, time: 1.852, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7598, decode.loss_mask: 0.7700, decode.loss_dice: 1.1755, decode.d0.loss_cls: 2.4861, decode.d0.loss_mask: 0.7896, decode.d0.loss_dice: 1.3635, decode.d1.loss_cls: 0.8329, decode.d1.loss_mask: 0.8034, decode.d1.loss_dice: 1.2721, decode.d2.loss_cls: 0.7845, decode.d2.loss_mask: 0.7896, decode.d2.loss_dice: 1.2247, decode.d3.loss_cls: 0.7778, decode.d3.loss_mask: 0.7773, decode.d3.loss_dice: 1.1955, decode.d4.loss_cls: 0.7733, decode.d4.loss_mask: 0.7802, decode.d4.loss_dice: 1.1995, decode.d5.loss_cls: 0.7700, decode.d5.loss_mask: 0.7726, decode.d5.loss_dice: 1.1919, decode.d6.loss_cls: 0.7670, decode.d6.loss_mask: 0.7702, decode.d6.loss_dice: 1.1843, decode.d7.loss_cls: 0.7646, decode.d7.loss_mask: 0.7722, decode.d7.loss_dice: 1.1840, decode.d8.loss_cls: 0.7647, decode.d8.loss_mask: 0.7669, decode.d8.loss_dice: 1.1756, loss: 29.4395 2022-09-13 09:18:13,552 - mmseg - INFO - Iter [54600/80000] lr: 4.559e-07, eta: 13:37:24, time: 1.868, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7672, decode.loss_mask: 0.7628, decode.loss_dice: 1.1783, decode.d0.loss_cls: 2.5276, decode.d0.loss_mask: 0.7758, decode.d0.loss_dice: 1.3593, decode.d1.loss_cls: 0.8617, decode.d1.loss_mask: 0.7917, decode.d1.loss_dice: 1.2746, decode.d2.loss_cls: 0.8045, decode.d2.loss_mask: 0.7736, decode.d2.loss_dice: 1.2221, decode.d3.loss_cls: 0.7918, decode.d3.loss_mask: 0.7663, decode.d3.loss_dice: 1.1964, decode.d4.loss_cls: 0.7839, decode.d4.loss_mask: 0.7625, decode.d4.loss_dice: 1.1956, decode.d5.loss_cls: 0.7748, decode.d5.loss_mask: 0.7603, decode.d5.loss_dice: 1.1918, decode.d6.loss_cls: 0.7712, decode.d6.loss_mask: 0.7612, decode.d6.loss_dice: 1.1844, decode.d7.loss_cls: 0.7723, decode.d7.loss_mask: 0.7609, decode.d7.loss_dice: 1.1857, decode.d8.loss_cls: 0.7762, decode.d8.loss_mask: 0.7601, decode.d8.loss_dice: 1.1773, loss: 29.4719 2022-09-13 09:19:45,413 - mmseg - INFO - Iter [54650/80000] lr: 4.550e-07, eta: 13:35:45, time: 1.837, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7471, decode.loss_mask: 0.7696, decode.loss_dice: 1.1680, decode.d0.loss_cls: 2.5203, decode.d0.loss_mask: 0.7867, decode.d0.loss_dice: 1.3552, decode.d1.loss_cls: 0.8246, decode.d1.loss_mask: 0.7972, decode.d1.loss_dice: 1.2683, decode.d2.loss_cls: 0.7752, decode.d2.loss_mask: 0.7843, decode.d2.loss_dice: 1.2122, decode.d3.loss_cls: 0.7722, decode.d3.loss_mask: 0.7782, decode.d3.loss_dice: 1.1891, decode.d4.loss_cls: 0.7662, decode.d4.loss_mask: 0.7742, decode.d4.loss_dice: 1.1853, decode.d5.loss_cls: 0.7611, decode.d5.loss_mask: 0.7732, decode.d5.loss_dice: 1.1737, decode.d6.loss_cls: 0.7580, decode.d6.loss_mask: 0.7679, decode.d6.loss_dice: 1.1721, decode.d7.loss_cls: 0.7539, decode.d7.loss_mask: 0.7674, decode.d7.loss_dice: 1.1697, decode.d8.loss_cls: 0.7460, decode.d8.loss_mask: 0.7655, decode.d8.loss_dice: 1.1659, loss: 29.2481 2022-09-13 09:21:17,740 - mmseg - INFO - Iter [54700/80000] lr: 4.541e-07, eta: 13:34:06, time: 1.846, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7554, decode.loss_mask: 0.7614, decode.loss_dice: 1.1813, decode.d0.loss_cls: 2.5403, decode.d0.loss_mask: 0.7775, decode.d0.loss_dice: 1.3698, decode.d1.loss_cls: 0.8419, decode.d1.loss_mask: 0.7960, decode.d1.loss_dice: 1.2844, decode.d2.loss_cls: 0.7867, decode.d2.loss_mask: 0.7748, decode.d2.loss_dice: 1.2309, decode.d3.loss_cls: 0.7747, decode.d3.loss_mask: 0.7690, decode.d3.loss_dice: 1.2024, decode.d4.loss_cls: 0.7665, decode.d4.loss_mask: 0.7639, decode.d4.loss_dice: 1.2047, decode.d5.loss_cls: 0.7591, decode.d5.loss_mask: 0.7660, decode.d5.loss_dice: 1.1985, decode.d6.loss_cls: 0.7543, decode.d6.loss_mask: 0.7610, decode.d6.loss_dice: 1.1883, decode.d7.loss_cls: 0.7603, decode.d7.loss_mask: 0.7587, decode.d7.loss_dice: 1.1866, decode.d8.loss_cls: 0.7571, decode.d8.loss_mask: 0.7560, decode.d8.loss_dice: 1.1812, loss: 29.4086 2022-09-13 09:22:50,836 - mmseg - INFO - Iter [54750/80000] lr: 4.532e-07, eta: 13:32:28, time: 1.862, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7374, decode.loss_mask: 0.7316, decode.loss_dice: 1.1566, decode.d0.loss_cls: 2.4969, decode.d0.loss_mask: 0.7460, decode.d0.loss_dice: 1.3398, decode.d1.loss_cls: 0.8207, decode.d1.loss_mask: 0.7667, decode.d1.loss_dice: 1.2555, decode.d2.loss_cls: 0.7688, decode.d2.loss_mask: 0.7532, decode.d2.loss_dice: 1.2087, decode.d3.loss_cls: 0.7592, decode.d3.loss_mask: 0.7385, decode.d3.loss_dice: 1.1782, decode.d4.loss_cls: 0.7564, decode.d4.loss_mask: 0.7373, decode.d4.loss_dice: 1.1667, decode.d5.loss_cls: 0.7522, decode.d5.loss_mask: 0.7357, decode.d5.loss_dice: 1.1692, decode.d6.loss_cls: 0.7428, decode.d6.loss_mask: 0.7347, decode.d6.loss_dice: 1.1553, decode.d7.loss_cls: 0.7457, decode.d7.loss_mask: 0.7318, decode.d7.loss_dice: 1.1565, decode.d8.loss_cls: 0.7390, decode.d8.loss_mask: 0.7328, decode.d8.loss_dice: 1.1597, loss: 28.6735 2022-09-13 09:24:24,089 - mmseg - INFO - Iter [54800/80000] lr: 4.523e-07, eta: 13:30:50, time: 1.865, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7353, decode.loss_mask: 0.7550, decode.loss_dice: 1.1364, decode.d0.loss_cls: 2.3780, decode.d0.loss_mask: 0.7758, decode.d0.loss_dice: 1.3180, decode.d1.loss_cls: 0.8052, decode.d1.loss_mask: 0.7848, decode.d1.loss_dice: 1.2213, decode.d2.loss_cls: 0.7457, decode.d2.loss_mask: 0.7716, decode.d2.loss_dice: 1.1826, decode.d3.loss_cls: 0.7465, decode.d3.loss_mask: 0.7657, decode.d3.loss_dice: 1.1569, decode.d4.loss_cls: 0.7443, decode.d4.loss_mask: 0.7639, decode.d4.loss_dice: 1.1560, decode.d5.loss_cls: 0.7425, decode.d5.loss_mask: 0.7609, decode.d5.loss_dice: 1.1529, decode.d6.loss_cls: 0.7429, decode.d6.loss_mask: 0.7533, decode.d6.loss_dice: 1.1403, decode.d7.loss_cls: 0.7368, decode.d7.loss_mask: 0.7583, decode.d7.loss_dice: 1.1444, decode.d8.loss_cls: 0.7339, decode.d8.loss_mask: 0.7571, decode.d8.loss_dice: 1.1430, loss: 28.5091 2022-09-13 09:25:57,818 - mmseg - INFO - Iter [54850/80000] lr: 4.514e-07, eta: 13:29:12, time: 1.875, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7695, decode.loss_mask: 0.7458, decode.loss_dice: 1.1823, decode.d0.loss_cls: 2.5380, decode.d0.loss_mask: 0.7681, decode.d0.loss_dice: 1.3532, decode.d1.loss_cls: 0.8385, decode.d1.loss_mask: 0.7801, decode.d1.loss_dice: 1.2694, decode.d2.loss_cls: 0.7905, decode.d2.loss_mask: 0.7605, decode.d2.loss_dice: 1.2257, decode.d3.loss_cls: 0.7819, decode.d3.loss_mask: 0.7525, decode.d3.loss_dice: 1.2011, decode.d4.loss_cls: 0.7794, decode.d4.loss_mask: 0.7477, decode.d4.loss_dice: 1.1992, decode.d5.loss_cls: 0.7794, decode.d5.loss_mask: 0.7439, decode.d5.loss_dice: 1.1900, decode.d6.loss_cls: 0.7818, decode.d6.loss_mask: 0.7432, decode.d6.loss_dice: 1.1792, decode.d7.loss_cls: 0.7717, decode.d7.loss_mask: 0.7432, decode.d7.loss_dice: 1.1842, decode.d8.loss_cls: 0.7688, decode.d8.loss_mask: 0.7470, decode.d8.loss_dice: 1.1834, loss: 29.2989 2022-09-13 09:27:30,682 - mmseg - INFO - Iter [54900/80000] lr: 4.505e-07, eta: 13:27:34, time: 1.857, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7587, decode.loss_mask: 0.7606, decode.loss_dice: 1.1703, decode.d0.loss_cls: 2.5286, decode.d0.loss_mask: 0.7745, decode.d0.loss_dice: 1.3614, decode.d1.loss_cls: 0.8417, decode.d1.loss_mask: 0.7938, decode.d1.loss_dice: 1.2698, decode.d2.loss_cls: 0.7899, decode.d2.loss_mask: 0.7745, decode.d2.loss_dice: 1.2213, decode.d3.loss_cls: 0.7776, decode.d3.loss_mask: 0.7648, decode.d3.loss_dice: 1.1890, decode.d4.loss_cls: 0.7728, decode.d4.loss_mask: 0.7652, decode.d4.loss_dice: 1.1828, decode.d5.loss_cls: 0.7632, decode.d5.loss_mask: 0.7591, decode.d5.loss_dice: 1.1850, decode.d6.loss_cls: 0.7590, decode.d6.loss_mask: 0.7594, decode.d6.loss_dice: 1.1682, decode.d7.loss_cls: 0.7636, decode.d7.loss_mask: 0.7564, decode.d7.loss_dice: 1.1670, decode.d8.loss_cls: 0.7551, decode.d8.loss_mask: 0.7587, decode.d8.loss_dice: 1.1745, loss: 29.2663 2022-09-13 09:29:03,294 - mmseg - INFO - Iter [54950/80000] lr: 4.496e-07, eta: 13:25:56, time: 1.852, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7955, decode.loss_mask: 0.7576, decode.loss_dice: 1.1684, decode.d0.loss_cls: 2.5585, decode.d0.loss_mask: 0.7833, decode.d0.loss_dice: 1.3631, decode.d1.loss_cls: 0.8670, decode.d1.loss_mask: 0.7958, decode.d1.loss_dice: 1.2712, decode.d2.loss_cls: 0.8176, decode.d2.loss_mask: 0.7785, decode.d2.loss_dice: 1.2211, decode.d3.loss_cls: 0.8044, decode.d3.loss_mask: 0.7677, decode.d3.loss_dice: 1.1961, decode.d4.loss_cls: 0.7976, decode.d4.loss_mask: 0.7664, decode.d4.loss_dice: 1.1960, decode.d5.loss_cls: 0.7983, decode.d5.loss_mask: 0.7587, decode.d5.loss_dice: 1.1874, decode.d6.loss_cls: 0.7920, decode.d6.loss_mask: 0.7633, decode.d6.loss_dice: 1.1785, decode.d7.loss_cls: 0.7956, decode.d7.loss_mask: 0.7581, decode.d7.loss_dice: 1.1714, decode.d8.loss_cls: 0.7982, decode.d8.loss_mask: 0.7571, decode.d8.loss_dice: 1.1669, loss: 29.6313 2022-09-13 09:30:35,455 - mmseg - INFO - Saving checkpoint at 55000 iterations 2022-09-13 09:31:04,014 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 09:31:04,022 - mmseg - INFO - Iter [55000/80000] lr: 4.487e-07, eta: 13:24:30, time: 2.412, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7800, decode.loss_mask: 0.7520, decode.loss_dice: 1.1649, decode.d0.loss_cls: 2.5477, decode.d0.loss_mask: 0.7765, decode.d0.loss_dice: 1.3370, decode.d1.loss_cls: 0.8551, decode.d1.loss_mask: 0.7805, decode.d1.loss_dice: 1.2533, decode.d2.loss_cls: 0.8008, decode.d2.loss_mask: 0.7641, decode.d2.loss_dice: 1.2046, decode.d3.loss_cls: 0.7885, decode.d3.loss_mask: 0.7562, decode.d3.loss_dice: 1.1823, decode.d4.loss_cls: 0.7815, decode.d4.loss_mask: 0.7556, decode.d4.loss_dice: 1.1793, decode.d5.loss_cls: 0.7815, decode.d5.loss_mask: 0.7547, decode.d5.loss_dice: 1.1794, decode.d6.loss_cls: 0.7809, decode.d6.loss_mask: 0.7505, decode.d6.loss_dice: 1.1639, decode.d7.loss_cls: 0.7758, decode.d7.loss_mask: 0.7503, decode.d7.loss_dice: 1.1621, decode.d8.loss_cls: 0.7774, decode.d8.loss_mask: 0.7502, decode.d8.loss_dice: 1.1623, loss: 29.2489 2022-09-13 09:32:37,225 - mmseg - INFO - Iter [55050/80000] lr: 4.478e-07, eta: 13:22:52, time: 1.866, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7589, decode.loss_mask: 0.7430, decode.loss_dice: 1.1715, decode.d0.loss_cls: 2.5191, decode.d0.loss_mask: 0.7714, decode.d0.loss_dice: 1.3660, decode.d1.loss_cls: 0.8373, decode.d1.loss_mask: 0.7770, decode.d1.loss_dice: 1.2673, decode.d2.loss_cls: 0.7802, decode.d2.loss_mask: 0.7665, decode.d2.loss_dice: 1.2183, decode.d3.loss_cls: 0.7757, decode.d3.loss_mask: 0.7583, decode.d3.loss_dice: 1.1872, decode.d4.loss_cls: 0.7647, decode.d4.loss_mask: 0.7518, decode.d4.loss_dice: 1.1848, decode.d5.loss_cls: 0.7642, decode.d5.loss_mask: 0.7486, decode.d5.loss_dice: 1.1825, decode.d6.loss_cls: 0.7645, decode.d6.loss_mask: 0.7422, decode.d6.loss_dice: 1.1758, decode.d7.loss_cls: 0.7591, decode.d7.loss_mask: 0.7433, decode.d7.loss_dice: 1.1760, decode.d8.loss_cls: 0.7556, decode.d8.loss_mask: 0.7461, decode.d8.loss_dice: 1.1749, loss: 29.1320 2022-09-13 09:34:10,684 - mmseg - INFO - Iter [55100/80000] lr: 4.469e-07, eta: 13:21:14, time: 1.867, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7632, decode.loss_mask: 0.7565, decode.loss_dice: 1.1405, decode.d0.loss_cls: 2.4472, decode.d0.loss_mask: 0.7776, decode.d0.loss_dice: 1.3365, decode.d1.loss_cls: 0.8396, decode.d1.loss_mask: 0.7866, decode.d1.loss_dice: 1.2397, decode.d2.loss_cls: 0.7913, decode.d2.loss_mask: 0.7703, decode.d2.loss_dice: 1.1845, decode.d3.loss_cls: 0.7737, decode.d3.loss_mask: 0.7646, decode.d3.loss_dice: 1.1656, decode.d4.loss_cls: 0.7727, decode.d4.loss_mask: 0.7619, decode.d4.loss_dice: 1.1589, decode.d5.loss_cls: 0.7705, decode.d5.loss_mask: 0.7532, decode.d5.loss_dice: 1.1570, decode.d6.loss_cls: 0.7691, decode.d6.loss_mask: 0.7515, decode.d6.loss_dice: 1.1417, decode.d7.loss_cls: 0.7652, decode.d7.loss_mask: 0.7533, decode.d7.loss_dice: 1.1439, decode.d8.loss_cls: 0.7584, decode.d8.loss_mask: 0.7580, decode.d8.loss_dice: 1.1421, loss: 28.8948 2022-09-13 09:35:43,955 - mmseg - INFO - Iter [55150/80000] lr: 4.460e-07, eta: 13:19:36, time: 1.867, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7911, decode.loss_mask: 0.7515, decode.loss_dice: 1.1882, decode.d0.loss_cls: 2.5398, decode.d0.loss_mask: 0.7722, decode.d0.loss_dice: 1.3764, decode.d1.loss_cls: 0.8695, decode.d1.loss_mask: 0.7845, decode.d1.loss_dice: 1.2855, decode.d2.loss_cls: 0.8181, decode.d2.loss_mask: 0.7740, decode.d2.loss_dice: 1.2401, decode.d3.loss_cls: 0.8118, decode.d3.loss_mask: 0.7559, decode.d3.loss_dice: 1.2068, decode.d4.loss_cls: 0.7979, decode.d4.loss_mask: 0.7610, decode.d4.loss_dice: 1.2092, decode.d5.loss_cls: 0.7951, decode.d5.loss_mask: 0.7582, decode.d5.loss_dice: 1.2013, decode.d6.loss_cls: 0.7949, decode.d6.loss_mask: 0.7552, decode.d6.loss_dice: 1.1884, decode.d7.loss_cls: 0.7936, decode.d7.loss_mask: 0.7513, decode.d7.loss_dice: 1.1919, decode.d8.loss_cls: 0.7839, decode.d8.loss_mask: 0.7534, decode.d8.loss_dice: 1.1899, loss: 29.6905 2022-09-13 09:37:16,072 - mmseg - INFO - Iter [55200/80000] lr: 4.451e-07, eta: 13:17:58, time: 1.842, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7309, decode.loss_mask: 0.7389, decode.loss_dice: 1.1286, decode.d0.loss_cls: 2.4454, decode.d0.loss_mask: 0.7575, decode.d0.loss_dice: 1.3115, decode.d1.loss_cls: 0.8075, decode.d1.loss_mask: 0.7670, decode.d1.loss_dice: 1.2320, decode.d2.loss_cls: 0.7577, decode.d2.loss_mask: 0.7602, decode.d2.loss_dice: 1.1809, decode.d3.loss_cls: 0.7426, decode.d3.loss_mask: 0.7525, decode.d3.loss_dice: 1.1531, decode.d4.loss_cls: 0.7372, decode.d4.loss_mask: 0.7508, decode.d4.loss_dice: 1.1516, decode.d5.loss_cls: 0.7280, decode.d5.loss_mask: 0.7460, decode.d5.loss_dice: 1.1417, decode.d6.loss_cls: 0.7264, decode.d6.loss_mask: 0.7419, decode.d6.loss_dice: 1.1331, decode.d7.loss_cls: 0.7314, decode.d7.loss_mask: 0.7409, decode.d7.loss_dice: 1.1338, decode.d8.loss_cls: 0.7204, decode.d8.loss_mask: 0.7435, decode.d8.loss_dice: 1.1304, loss: 28.3233 2022-09-13 09:38:48,101 - mmseg - INFO - Iter [55250/80000] lr: 4.442e-07, eta: 13:16:19, time: 1.841, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7394, decode.loss_mask: 0.7182, decode.loss_dice: 1.1398, decode.d0.loss_cls: 2.4845, decode.d0.loss_mask: 0.7288, decode.d0.loss_dice: 1.3201, decode.d1.loss_cls: 0.8204, decode.d1.loss_mask: 0.7447, decode.d1.loss_dice: 1.2378, decode.d2.loss_cls: 0.7609, decode.d2.loss_mask: 0.7336, decode.d2.loss_dice: 1.1813, decode.d3.loss_cls: 0.7580, decode.d3.loss_mask: 0.7234, decode.d3.loss_dice: 1.1540, decode.d4.loss_cls: 0.7518, decode.d4.loss_mask: 0.7236, decode.d4.loss_dice: 1.1531, decode.d5.loss_cls: 0.7372, decode.d5.loss_mask: 0.7240, decode.d5.loss_dice: 1.1507, decode.d6.loss_cls: 0.7408, decode.d6.loss_mask: 0.7151, decode.d6.loss_dice: 1.1355, decode.d7.loss_cls: 0.7389, decode.d7.loss_mask: 0.7166, decode.d7.loss_dice: 1.1427, decode.d8.loss_cls: 0.7353, decode.d8.loss_mask: 0.7171, decode.d8.loss_dice: 1.1383, loss: 28.2657 2022-09-13 09:40:20,794 - mmseg - INFO - Iter [55300/80000] lr: 4.433e-07, eta: 13:14:41, time: 1.854, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7452, decode.loss_mask: 0.7503, decode.loss_dice: 1.1787, decode.d0.loss_cls: 2.4776, decode.d0.loss_mask: 0.7744, decode.d0.loss_dice: 1.3535, decode.d1.loss_cls: 0.8351, decode.d1.loss_mask: 0.7804, decode.d1.loss_dice: 1.2720, decode.d2.loss_cls: 0.7859, decode.d2.loss_mask: 0.7675, decode.d2.loss_dice: 1.2124, decode.d3.loss_cls: 0.7635, decode.d3.loss_mask: 0.7585, decode.d3.loss_dice: 1.1942, decode.d4.loss_cls: 0.7635, decode.d4.loss_mask: 0.7578, decode.d4.loss_dice: 1.1957, decode.d5.loss_cls: 0.7572, decode.d5.loss_mask: 0.7526, decode.d5.loss_dice: 1.1876, decode.d6.loss_cls: 0.7521, decode.d6.loss_mask: 0.7515, decode.d6.loss_dice: 1.1776, decode.d7.loss_cls: 0.7493, decode.d7.loss_mask: 0.7493, decode.d7.loss_dice: 1.1754, decode.d8.loss_cls: 0.7529, decode.d8.loss_mask: 0.7475, decode.d8.loss_dice: 1.1723, loss: 29.0915 2022-09-13 09:41:52,819 - mmseg - INFO - Iter [55350/80000] lr: 4.424e-07, eta: 13:13:03, time: 1.840, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7811, decode.loss_mask: 0.7539, decode.loss_dice: 1.1442, decode.d0.loss_cls: 2.4754, decode.d0.loss_mask: 0.7808, decode.d0.loss_dice: 1.3425, decode.d1.loss_cls: 0.8530, decode.d1.loss_mask: 0.7876, decode.d1.loss_dice: 1.2379, decode.d2.loss_cls: 0.8136, decode.d2.loss_mask: 0.7689, decode.d2.loss_dice: 1.1956, decode.d3.loss_cls: 0.8003, decode.d3.loss_mask: 0.7655, decode.d3.loss_dice: 1.1723, decode.d4.loss_cls: 0.7919, decode.d4.loss_mask: 0.7645, decode.d4.loss_dice: 1.1646, decode.d5.loss_cls: 0.7905, decode.d5.loss_mask: 0.7575, decode.d5.loss_dice: 1.1522, decode.d6.loss_cls: 0.7811, decode.d6.loss_mask: 0.7554, decode.d6.loss_dice: 1.1452, decode.d7.loss_cls: 0.7880, decode.d7.loss_mask: 0.7491, decode.d7.loss_dice: 1.1426, decode.d8.loss_cls: 0.7799, decode.d8.loss_mask: 0.7528, decode.d8.loss_dice: 1.1448, loss: 29.1329 2022-09-13 09:43:24,843 - mmseg - INFO - Iter [55400/80000] lr: 4.415e-07, eta: 13:11:24, time: 1.841, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7990, decode.loss_mask: 0.7461, decode.loss_dice: 1.1763, decode.d0.loss_cls: 2.5352, decode.d0.loss_mask: 0.7836, decode.d0.loss_dice: 1.3659, decode.d1.loss_cls: 0.8663, decode.d1.loss_mask: 0.7860, decode.d1.loss_dice: 1.2762, decode.d2.loss_cls: 0.8138, decode.d2.loss_mask: 0.7668, decode.d2.loss_dice: 1.2220, decode.d3.loss_cls: 0.8065, decode.d3.loss_mask: 0.7602, decode.d3.loss_dice: 1.1971, decode.d4.loss_cls: 0.8035, decode.d4.loss_mask: 0.7557, decode.d4.loss_dice: 1.2002, decode.d5.loss_cls: 0.7956, decode.d5.loss_mask: 0.7511, decode.d5.loss_dice: 1.1952, decode.d6.loss_cls: 0.7966, decode.d6.loss_mask: 0.7472, decode.d6.loss_dice: 1.1792, decode.d7.loss_cls: 0.7903, decode.d7.loss_mask: 0.7450, decode.d7.loss_dice: 1.1775, decode.d8.loss_cls: 0.7910, decode.d8.loss_mask: 0.7468, decode.d8.loss_dice: 1.1742, loss: 29.5502 2022-09-13 09:44:56,270 - mmseg - INFO - Iter [55450/80000] lr: 4.406e-07, eta: 13:09:45, time: 1.829, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7579, decode.loss_mask: 0.7448, decode.loss_dice: 1.1447, decode.d0.loss_cls: 2.4565, decode.d0.loss_mask: 0.7611, decode.d0.loss_dice: 1.3447, decode.d1.loss_cls: 0.8407, decode.d1.loss_mask: 0.7763, decode.d1.loss_dice: 1.2620, decode.d2.loss_cls: 0.7764, decode.d2.loss_mask: 0.7588, decode.d2.loss_dice: 1.1937, decode.d3.loss_cls: 0.7627, decode.d3.loss_mask: 0.7529, decode.d3.loss_dice: 1.1779, decode.d4.loss_cls: 0.7606, decode.d4.loss_mask: 0.7527, decode.d4.loss_dice: 1.1755, decode.d5.loss_cls: 0.7593, decode.d5.loss_mask: 0.7509, decode.d5.loss_dice: 1.1699, decode.d6.loss_cls: 0.7555, decode.d6.loss_mask: 0.7477, decode.d6.loss_dice: 1.1583, decode.d7.loss_cls: 0.7566, decode.d7.loss_mask: 0.7471, decode.d7.loss_dice: 1.1579, decode.d8.loss_cls: 0.7461, decode.d8.loss_mask: 0.7469, decode.d8.loss_dice: 1.1556, loss: 28.8518 2022-09-13 09:46:29,832 - mmseg - INFO - Iter [55500/80000] lr: 4.397e-07, eta: 13:08:07, time: 1.871, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7582, decode.loss_mask: 0.7406, decode.loss_dice: 1.1597, decode.d0.loss_cls: 2.5451, decode.d0.loss_mask: 0.7660, decode.d0.loss_dice: 1.3407, decode.d1.loss_cls: 0.8295, decode.d1.loss_mask: 0.7813, decode.d1.loss_dice: 1.2641, decode.d2.loss_cls: 0.7795, decode.d2.loss_mask: 0.7601, decode.d2.loss_dice: 1.2087, decode.d3.loss_cls: 0.7732, decode.d3.loss_mask: 0.7516, decode.d3.loss_dice: 1.1841, decode.d4.loss_cls: 0.7667, decode.d4.loss_mask: 0.7487, decode.d4.loss_dice: 1.1796, decode.d5.loss_cls: 0.7603, decode.d5.loss_mask: 0.7452, decode.d5.loss_dice: 1.1756, decode.d6.loss_cls: 0.7615, decode.d6.loss_mask: 0.7420, decode.d6.loss_dice: 1.1667, decode.d7.loss_cls: 0.7586, decode.d7.loss_mask: 0.7416, decode.d7.loss_dice: 1.1598, decode.d8.loss_cls: 0.7538, decode.d8.loss_mask: 0.7402, decode.d8.loss_dice: 1.1662, loss: 29.0088 2022-09-13 09:48:01,550 - mmseg - INFO - Iter [55550/80000] lr: 4.388e-07, eta: 13:06:29, time: 1.835, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7453, decode.loss_mask: 0.7527, decode.loss_dice: 1.1717, decode.d0.loss_cls: 2.4823, decode.d0.loss_mask: 0.7763, decode.d0.loss_dice: 1.3380, decode.d1.loss_cls: 0.8259, decode.d1.loss_mask: 0.7875, decode.d1.loss_dice: 1.2656, decode.d2.loss_cls: 0.7739, decode.d2.loss_mask: 0.7675, decode.d2.loss_dice: 1.2106, decode.d3.loss_cls: 0.7632, decode.d3.loss_mask: 0.7598, decode.d3.loss_dice: 1.1859, decode.d4.loss_cls: 0.7515, decode.d4.loss_mask: 0.7626, decode.d4.loss_dice: 1.1855, decode.d5.loss_cls: 0.7441, decode.d5.loss_mask: 0.7623, decode.d5.loss_dice: 1.1826, decode.d6.loss_cls: 0.7472, decode.d6.loss_mask: 0.7569, decode.d6.loss_dice: 1.1635, decode.d7.loss_cls: 0.7453, decode.d7.loss_mask: 0.7546, decode.d7.loss_dice: 1.1685, decode.d8.loss_cls: 0.7378, decode.d8.loss_mask: 0.7537, decode.d8.loss_dice: 1.1695, loss: 28.9919 2022-09-13 09:49:33,871 - mmseg - INFO - Iter [55600/80000] lr: 4.379e-07, eta: 13:04:50, time: 1.846, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7680, decode.loss_mask: 0.7643, decode.loss_dice: 1.1607, decode.d0.loss_cls: 2.5160, decode.d0.loss_mask: 0.7844, decode.d0.loss_dice: 1.3571, decode.d1.loss_cls: 0.8521, decode.d1.loss_mask: 0.8011, decode.d1.loss_dice: 1.2645, decode.d2.loss_cls: 0.7931, decode.d2.loss_mask: 0.7810, decode.d2.loss_dice: 1.2127, decode.d3.loss_cls: 0.7824, decode.d3.loss_mask: 0.7739, decode.d3.loss_dice: 1.1884, decode.d4.loss_cls: 0.7821, decode.d4.loss_mask: 0.7669, decode.d4.loss_dice: 1.1839, decode.d5.loss_cls: 0.7748, decode.d5.loss_mask: 0.7674, decode.d5.loss_dice: 1.1848, decode.d6.loss_cls: 0.7714, decode.d6.loss_mask: 0.7641, decode.d6.loss_dice: 1.1713, decode.d7.loss_cls: 0.7685, decode.d7.loss_mask: 0.7650, decode.d7.loss_dice: 1.1632, decode.d8.loss_cls: 0.7669, decode.d8.loss_mask: 0.7648, decode.d8.loss_dice: 1.1697, loss: 29.3645 2022-09-13 09:51:06,247 - mmseg - INFO - Iter [55650/80000] lr: 4.370e-07, eta: 13:03:12, time: 1.848, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7765, decode.loss_mask: 0.7528, decode.loss_dice: 1.1828, decode.d0.loss_cls: 2.5341, decode.d0.loss_mask: 0.7729, decode.d0.loss_dice: 1.3731, decode.d1.loss_cls: 0.8653, decode.d1.loss_mask: 0.7785, decode.d1.loss_dice: 1.2732, decode.d2.loss_cls: 0.8116, decode.d2.loss_mask: 0.7615, decode.d2.loss_dice: 1.2225, decode.d3.loss_cls: 0.7888, decode.d3.loss_mask: 0.7570, decode.d3.loss_dice: 1.2021, decode.d4.loss_cls: 0.7904, decode.d4.loss_mask: 0.7537, decode.d4.loss_dice: 1.1943, decode.d5.loss_cls: 0.7814, decode.d5.loss_mask: 0.7563, decode.d5.loss_dice: 1.1968, decode.d6.loss_cls: 0.7801, decode.d6.loss_mask: 0.7521, decode.d6.loss_dice: 1.1856, decode.d7.loss_cls: 0.7780, decode.d7.loss_mask: 0.7510, decode.d7.loss_dice: 1.1826, decode.d8.loss_cls: 0.7749, decode.d8.loss_mask: 0.7529, decode.d8.loss_dice: 1.1862, loss: 29.4693 2022-09-13 09:52:39,501 - mmseg - INFO - Iter [55700/80000] lr: 4.361e-07, eta: 13:01:34, time: 1.865, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7577, decode.loss_mask: 0.7677, decode.loss_dice: 1.1623, decode.d0.loss_cls: 2.5007, decode.d0.loss_mask: 0.7783, decode.d0.loss_dice: 1.3404, decode.d1.loss_cls: 0.8456, decode.d1.loss_mask: 0.7951, decode.d1.loss_dice: 1.2609, decode.d2.loss_cls: 0.7900, decode.d2.loss_mask: 0.7790, decode.d2.loss_dice: 1.2084, decode.d3.loss_cls: 0.7797, decode.d3.loss_mask: 0.7702, decode.d3.loss_dice: 1.1848, decode.d4.loss_cls: 0.7726, decode.d4.loss_mask: 0.7692, decode.d4.loss_dice: 1.1803, decode.d5.loss_cls: 0.7661, decode.d5.loss_mask: 0.7625, decode.d5.loss_dice: 1.1720, decode.d6.loss_cls: 0.7608, decode.d6.loss_mask: 0.7648, decode.d6.loss_dice: 1.1676, decode.d7.loss_cls: 0.7556, decode.d7.loss_mask: 0.7652, decode.d7.loss_dice: 1.1637, decode.d8.loss_cls: 0.7544, decode.d8.loss_mask: 0.7663, decode.d8.loss_dice: 1.1653, loss: 29.2075 2022-09-13 09:54:13,013 - mmseg - INFO - Iter [55750/80000] lr: 4.352e-07, eta: 12:59:56, time: 1.870, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7519, decode.loss_mask: 0.7745, decode.loss_dice: 1.1768, decode.d0.loss_cls: 2.4855, decode.d0.loss_mask: 0.7923, decode.d0.loss_dice: 1.3670, decode.d1.loss_cls: 0.8338, decode.d1.loss_mask: 0.8048, decode.d1.loss_dice: 1.2822, decode.d2.loss_cls: 0.7804, decode.d2.loss_mask: 0.7929, decode.d2.loss_dice: 1.2246, decode.d3.loss_cls: 0.7666, decode.d3.loss_mask: 0.7860, decode.d3.loss_dice: 1.2001, decode.d4.loss_cls: 0.7567, decode.d4.loss_mask: 0.7801, decode.d4.loss_dice: 1.2030, decode.d5.loss_cls: 0.7541, decode.d5.loss_mask: 0.7809, decode.d5.loss_dice: 1.1927, decode.d6.loss_cls: 0.7519, decode.d6.loss_mask: 0.7728, decode.d6.loss_dice: 1.1800, decode.d7.loss_cls: 0.7443, decode.d7.loss_mask: 0.7724, decode.d7.loss_dice: 1.1812, decode.d8.loss_cls: 0.7473, decode.d8.loss_mask: 0.7735, decode.d8.loss_dice: 1.1832, loss: 29.3936 2022-09-13 09:55:47,813 - mmseg - INFO - Iter [55800/80000] lr: 4.343e-07, eta: 12:58:19, time: 1.896, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7368, decode.loss_mask: 0.7490, decode.loss_dice: 1.1531, decode.d0.loss_cls: 2.4506, decode.d0.loss_mask: 0.7752, decode.d0.loss_dice: 1.3401, decode.d1.loss_cls: 0.8249, decode.d1.loss_mask: 0.7857, decode.d1.loss_dice: 1.2519, decode.d2.loss_cls: 0.7670, decode.d2.loss_mask: 0.7655, decode.d2.loss_dice: 1.2001, decode.d3.loss_cls: 0.7574, decode.d3.loss_mask: 0.7592, decode.d3.loss_dice: 1.1748, decode.d4.loss_cls: 0.7536, decode.d4.loss_mask: 0.7530, decode.d4.loss_dice: 1.1733, decode.d5.loss_cls: 0.7448, decode.d5.loss_mask: 0.7515, decode.d5.loss_dice: 1.1611, decode.d6.loss_cls: 0.7351, decode.d6.loss_mask: 0.7498, decode.d6.loss_dice: 1.1550, decode.d7.loss_cls: 0.7304, decode.d7.loss_mask: 0.7521, decode.d7.loss_dice: 1.1565, decode.d8.loss_cls: 0.7289, decode.d8.loss_mask: 0.7492, decode.d8.loss_dice: 1.1560, loss: 28.7415 2022-09-13 09:57:20,315 - mmseg - INFO - Iter [55850/80000] lr: 4.334e-07, eta: 12:56:41, time: 1.848, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7675, decode.loss_mask: 0.7514, decode.loss_dice: 1.1491, decode.d0.loss_cls: 2.4865, decode.d0.loss_mask: 0.7668, decode.d0.loss_dice: 1.3473, decode.d1.loss_cls: 0.8517, decode.d1.loss_mask: 0.7798, decode.d1.loss_dice: 1.2480, decode.d2.loss_cls: 0.7904, decode.d2.loss_mask: 0.7657, decode.d2.loss_dice: 1.2069, decode.d3.loss_cls: 0.7766, decode.d3.loss_mask: 0.7605, decode.d3.loss_dice: 1.1783, decode.d4.loss_cls: 0.7784, decode.d4.loss_mask: 0.7551, decode.d4.loss_dice: 1.1743, decode.d5.loss_cls: 0.7654, decode.d5.loss_mask: 0.7507, decode.d5.loss_dice: 1.1657, decode.d6.loss_cls: 0.7617, decode.d6.loss_mask: 0.7484, decode.d6.loss_dice: 1.1534, decode.d7.loss_cls: 0.7659, decode.d7.loss_mask: 0.7503, decode.d7.loss_dice: 1.1475, decode.d8.loss_cls: 0.7672, decode.d8.loss_mask: 0.7500, decode.d8.loss_dice: 1.1500, loss: 29.0107 2022-09-13 09:58:52,751 - mmseg - INFO - Iter [55900/80000] lr: 4.326e-07, eta: 12:55:03, time: 1.851, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7865, decode.loss_mask: 0.7446, decode.loss_dice: 1.1635, decode.d0.loss_cls: 2.4984, decode.d0.loss_mask: 0.7585, decode.d0.loss_dice: 1.3695, decode.d1.loss_cls: 0.8576, decode.d1.loss_mask: 0.7787, decode.d1.loss_dice: 1.2708, decode.d2.loss_cls: 0.8127, decode.d2.loss_mask: 0.7598, decode.d2.loss_dice: 1.2090, decode.d3.loss_cls: 0.7950, decode.d3.loss_mask: 0.7561, decode.d3.loss_dice: 1.1878, decode.d4.loss_cls: 0.7865, decode.d4.loss_mask: 0.7547, decode.d4.loss_dice: 1.1885, decode.d5.loss_cls: 0.7853, decode.d5.loss_mask: 0.7480, decode.d5.loss_dice: 1.1793, decode.d6.loss_cls: 0.7867, decode.d6.loss_mask: 0.7465, decode.d6.loss_dice: 1.1682, decode.d7.loss_cls: 0.7857, decode.d7.loss_mask: 0.7425, decode.d7.loss_dice: 1.1714, decode.d8.loss_cls: 0.7881, decode.d8.loss_mask: 0.7422, decode.d8.loss_dice: 1.1706, loss: 29.2927 2022-09-13 10:00:25,458 - mmseg - INFO - Iter [55950/80000] lr: 4.317e-07, eta: 12:53:25, time: 1.854, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7395, decode.loss_mask: 0.7614, decode.loss_dice: 1.1583, decode.d0.loss_cls: 2.4592, decode.d0.loss_mask: 0.7976, decode.d0.loss_dice: 1.3653, decode.d1.loss_cls: 0.8080, decode.d1.loss_mask: 0.7994, decode.d1.loss_dice: 1.2667, decode.d2.loss_cls: 0.7586, decode.d2.loss_mask: 0.7829, decode.d2.loss_dice: 1.2142, decode.d3.loss_cls: 0.7494, decode.d3.loss_mask: 0.7721, decode.d3.loss_dice: 1.1846, decode.d4.loss_cls: 0.7514, decode.d4.loss_mask: 0.7689, decode.d4.loss_dice: 1.1784, decode.d5.loss_cls: 0.7403, decode.d5.loss_mask: 0.7650, decode.d5.loss_dice: 1.1680, decode.d6.loss_cls: 0.7401, decode.d6.loss_mask: 0.7595, decode.d6.loss_dice: 1.1566, decode.d7.loss_cls: 0.7408, decode.d7.loss_mask: 0.7604, decode.d7.loss_dice: 1.1628, decode.d8.loss_cls: 0.7389, decode.d8.loss_mask: 0.7627, decode.d8.loss_dice: 1.1642, loss: 28.9754 2022-09-13 10:01:58,255 - mmseg - INFO - Saving checkpoint at 56000 iterations 2022-09-13 10:02:28,764 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 10:02:28,772 - mmseg - INFO - Iter [56000/80000] lr: 4.308e-07, eta: 12:52:00, time: 2.464, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7828, decode.loss_mask: 0.7643, decode.loss_dice: 1.1939, decode.d0.loss_cls: 2.5043, decode.d0.loss_mask: 0.7893, decode.d0.loss_dice: 1.3869, decode.d1.loss_cls: 0.8625, decode.d1.loss_mask: 0.8014, decode.d1.loss_dice: 1.2946, decode.d2.loss_cls: 0.7995, decode.d2.loss_mask: 0.7895, decode.d2.loss_dice: 1.2488, decode.d3.loss_cls: 0.7887, decode.d3.loss_mask: 0.7815, decode.d3.loss_dice: 1.2201, decode.d4.loss_cls: 0.7900, decode.d4.loss_mask: 0.7753, decode.d4.loss_dice: 1.2154, decode.d5.loss_cls: 0.7869, decode.d5.loss_mask: 0.7695, decode.d5.loss_dice: 1.2026, decode.d6.loss_cls: 0.7844, decode.d6.loss_mask: 0.7674, decode.d6.loss_dice: 1.1957, decode.d7.loss_cls: 0.7854, decode.d7.loss_mask: 0.7698, decode.d7.loss_dice: 1.1944, decode.d8.loss_cls: 0.7819, decode.d8.loss_mask: 0.7655, decode.d8.loss_dice: 1.1960, loss: 29.7885 2022-09-13 10:07:24,751 - mmseg - INFO - per class results: 2022-09-13 10:07:24,759 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 87.97 | 93.96 | | bicycle | 76.93 | 86.65 | | car | 68.85 | 84.5 | | motorcycle | 86.48 | 91.28 | | airplane | 86.93 | 93.48 | | bus | 86.44 | 90.57 | | train | 84.67 | 95.66 | | truck | 68.2 | 83.05 | | boat | 75.18 | 86.81 | | traffic light | 74.44 | 87.65 | | fire hydrant | 92.09 | 96.26 | | stop sign | 91.34 | 98.44 | | parking meter | 76.56 | 87.81 | | bench | 57.4 | 75.84 | | bird | 83.89 | 92.32 | | cat | 81.51 | 86.71 | | dog | 78.58 | 85.0 | | horse | 85.83 | 94.82 | | sheep | 88.65 | 95.96 | | cow | 88.56 | 92.51 | | elephant | 93.45 | 96.8 | | bear | 93.45 | 96.18 | | zebra | 91.46 | 94.71 | | giraffe | 88.86 | 94.85 | | backpack | 43.82 | 73.89 | | umbrella | 88.96 | 94.89 | | handbag | 44.39 | 72.22 | | tie | 16.14 | 19.65 | | suitcase | 83.49 | 94.11 | | frisbee | 81.81 | 95.3 | | skis | 63.01 | 77.98 | | snowboard | 72.99 | 83.81 | | sports ball | 59.38 | 77.46 | | kite | 78.5 | 88.09 | | baseball bat | 49.57 | 86.3 | | baseball glove | 74.35 | 91.99 | | skateboard | 82.56 | 91.46 | | surfboard | 84.83 | 92.39 | | tennis racket | 87.37 | 92.72 | | bottle | 51.1 | 65.99 | | wine glass | 61.69 | 83.41 | | cup | 64.81 | 84.53 | | fork | 53.83 | 67.7 | | knife | 49.82 | 74.03 | | spoon | 41.13 | 54.77 | | bowl | 52.12 | 76.56 | | banana | 71.78 | 93.46 | | apple | 58.63 | 78.79 | | sandwich | 49.95 | 62.94 | | orange | 75.82 | 81.05 | | broccoli | 54.71 | 71.9 | | carrot | 55.37 | 63.71 | | hot dog | 58.45 | 71.79 | | pizza | 74.95 | 90.35 | | donut | 75.6 | 88.86 | | cake | 72.55 | 85.07 | | chair | 54.79 | 71.41 | | couch | 61.08 | 80.88 | | potted plant | 34.87 | 53.21 | | bed | 68.2 | 84.08 | | dining table | 45.38 | 76.65 | | toilet | 85.53 | 95.19 | | tv | 76.61 | 87.64 | | laptop | 80.08 | 95.93 | | mouse | 81.12 | 90.06 | | remote | 65.67 | 81.18 | | keyboard | 66.54 | 72.5 | | cell phone | 79.1 | 88.81 | | microwave | 70.48 | 79.96 | | oven | 60.22 | 82.46 | | toaster | 62.54 | 70.41 | | sink | 65.38 | 82.27 | | refrigerator | 82.27 | 93.05 | | book | 56.72 | 74.04 | | clock | 72.9 | 80.92 | | vase | 65.42 | 85.76 | | scissors | 82.64 | 93.11 | | teddy bear | 83.66 | 94.48 | | hair drier | 47.39 | 60.6 | | toothbrush | 59.51 | 87.27 | | banner | 30.64 | 67.69 | | blanket | 5.58 | 6.95 | | branch | 26.39 | 45.24 | | bridge | 47.23 | 66.55 | | building-other | 54.55 | 74.41 | | bush | 37.12 | 49.41 | | cabinet | 51.9 | 67.7 | | cage | 27.4 | 44.35 | | cardboard | 49.52 | 62.52 | | carpet | 56.49 | 78.56 | | ceiling-other | 68.54 | 84.01 | | ceiling-tile | 0.0 | 0.0 | | cloth | 5.19 | 5.21 | | clothes | 23.57 | 37.24 | | clouds | 46.21 | 59.12 | | counter | 30.81 | 53.73 | | cupboard | 3.53 | 10.76 | | curtain | 72.2 | 83.42 | | desk-stuff | 46.64 | 65.02 | | dirt | 40.98 | 60.7 | | door-stuff | 48.42 | 72.76 | | fence | 30.75 | 52.4 | | floor-marble | 8.37 | 9.96 | | floor-other | 25.06 | 33.01 | | floor-stone | 7.65 | 11.92 | | floor-tile | 66.75 | 78.89 | | floor-wood | 64.97 | 81.09 | | flower | 42.92 | 64.21 | | fog | 4.11 | 4.28 | | food-other | 28.94 | 35.07 | | fruit | 46.09 | 64.5 | | furniture-other | 22.46 | 32.46 | | grass | 71.22 | 82.48 | | gravel | 35.96 | 57.21 | | ground-other | 2.94 | 3.67 | | hill | 21.45 | 28.76 | | house | 24.89 | 30.69 | | leaves | 32.56 | 58.01 | | light | 42.37 | 61.74 | | mat | 0.25 | 0.27 | | metal | 37.76 | 50.9 | | mirror-stuff | 63.06 | 78.31 | | moss | 0.0 | 0.0 | | mountain | 55.43 | 71.93 | | mud | 5.7 | 9.7 | | napkin | 8.57 | 10.56 | | net | 43.86 | 66.68 | | paper | 34.55 | 48.86 | | pavement | 53.01 | 66.2 | | pillow | 18.59 | 34.8 | | plant-other | 18.97 | 29.85 | | plastic | 28.21 | 37.93 | | platform | 34.85 | 62.27 | | playingfield | 69.5 | 92.43 | | railing | 9.3 | 18.75 | | railroad | 62.35 | 80.53 | | river | 50.07 | 71.91 | | road | 68.16 | 85.68 | | rock | 37.64 | 49.77 | | roof | 23.69 | 29.88 | | rug | 32.42 | 45.66 | | salad | 0.0 | 0.0 | | sand | 63.98 | 69.33 | | sea | 85.27 | 92.51 | | shelf | 40.22 | 51.42 | | sky-other | 70.77 | 88.58 | | skyscraper | 38.0 | 51.32 | | snow | 91.36 | 94.33 | | solid-other | 0.0 | 0.0 | | stairs | 29.76 | 57.65 | | stone | 15.57 | 33.99 | | straw | 36.11 | 55.26 | | structural-other | 0.85 | 0.86 | | table | 20.52 | 26.54 | | tent | 9.39 | 11.7 | | textile-other | 18.75 | 30.81 | | towel | 39.51 | 48.59 | | tree | 74.58 | 85.53 | | vegetable | 46.49 | 58.6 | | wall-brick | 50.95 | 71.04 | | wall-concrete | 63.43 | 80.48 | | wall-other | 20.29 | 30.76 | | wall-panel | 4.4 | 5.22 | | wall-stone | 34.02 | 45.24 | | wall-tile | 72.17 | 88.26 | | wall-wood | 43.49 | 60.65 | | water-other | 25.74 | 37.1 | | waterdrops | 0.0 | 0.0 | | window-blind | 54.32 | 65.79 | | window-other | 51.81 | 70.38 | | wood | 30.98 | 46.72 | +------------------+-------+-------+ 2022-09-13 10:07:24,760 - mmseg - INFO - Summary: 2022-09-13 10:07:24,760 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 73.45 | 51.87 | 64.67 | +-------+-------+-------+ 2022-09-13 10:07:25,730 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/segmentation/work_dirs/mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss/best_mIoU_iter_48000.pth was removed 2022-09-13 10:07:54,020 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_56000.pth. 2022-09-13 10:07:54,030 - mmseg - INFO - Best mIoU is 0.5187 at 56000 iter. 2022-09-13 10:07:54,073 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 10:07:54,074 - mmseg - INFO - Iter(val) [313] aAcc: 0.7345, mIoU: 0.5187, mAcc: 0.6467, IoU.person: 0.8797, IoU.bicycle: 0.7693, IoU.car: 0.6885, IoU.motorcycle: 0.8648, IoU.airplane: 0.8693, IoU.bus: 0.8644, IoU.train: 0.8467, IoU.truck: 0.6820, IoU.boat: 0.7518, IoU.traffic light: 0.7444, IoU.fire hydrant: 0.9209, IoU.stop sign: 0.9134, IoU.parking meter: 0.7656, IoU.bench: 0.5740, IoU.bird: 0.8389, IoU.cat: 0.8151, IoU.dog: 0.7858, IoU.horse: 0.8583, IoU.sheep: 0.8865, IoU.cow: 0.8856, IoU.elephant: 0.9345, IoU.bear: 0.9345, IoU.zebra: 0.9146, IoU.giraffe: 0.8886, IoU.backpack: 0.4382, IoU.umbrella: 0.8896, IoU.handbag: 0.4439, IoU.tie: 0.1614, IoU.suitcase: 0.8349, IoU.frisbee: 0.8181, IoU.skis: 0.6301, IoU.snowboard: 0.7299, IoU.sports ball: 0.5938, IoU.kite: 0.7850, IoU.baseball bat: 0.4957, IoU.baseball glove: 0.7435, IoU.skateboard: 0.8256, IoU.surfboard: 0.8483, IoU.tennis racket: 0.8737, IoU.bottle: 0.5110, IoU.wine glass: 0.6169, IoU.cup: 0.6481, IoU.fork: 0.5383, IoU.knife: 0.4982, IoU.spoon: 0.4113, IoU.bowl: 0.5212, IoU.banana: 0.7178, IoU.apple: 0.5863, IoU.sandwich: 0.4995, IoU.orange: 0.7582, IoU.broccoli: 0.5471, IoU.carrot: 0.5537, IoU.hot dog: 0.5845, IoU.pizza: 0.7495, IoU.donut: 0.7560, IoU.cake: 0.7255, IoU.chair: 0.5479, IoU.couch: 0.6108, IoU.potted plant: 0.3487, IoU.bed: 0.6820, IoU.dining table: 0.4538, IoU.toilet: 0.8553, IoU.tv: 0.7661, IoU.laptop: 0.8008, IoU.mouse: 0.8112, IoU.remote: 0.6567, IoU.keyboard: 0.6654, IoU.cell phone: 0.7910, IoU.microwave: 0.7048, IoU.oven: 0.6022, IoU.toaster: 0.6254, IoU.sink: 0.6538, IoU.refrigerator: 0.8227, IoU.book: 0.5672, IoU.clock: 0.7290, IoU.vase: 0.6542, IoU.scissors: 0.8264, IoU.teddy bear: 0.8366, IoU.hair drier: 0.4739, IoU.toothbrush: 0.5951, IoU.banner: 0.3064, IoU.blanket: 0.0558, IoU.branch: 0.2639, IoU.bridge: 0.4723, IoU.building-other: 0.5455, IoU.bush: 0.3712, IoU.cabinet: 0.5190, IoU.cage: 0.2740, IoU.cardboard: 0.4952, IoU.carpet: 0.5649, IoU.ceiling-other: 0.6854, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0519, IoU.clothes: 0.2357, IoU.clouds: 0.4621, IoU.counter: 0.3081, IoU.cupboard: 0.0353, IoU.curtain: 0.7220, IoU.desk-stuff: 0.4664, IoU.dirt: 0.4098, IoU.door-stuff: 0.4842, IoU.fence: 0.3075, IoU.floor-marble: 0.0837, IoU.floor-other: 0.2506, IoU.floor-stone: 0.0765, IoU.floor-tile: 0.6675, IoU.floor-wood: 0.6497, IoU.flower: 0.4292, IoU.fog: 0.0411, IoU.food-other: 0.2894, IoU.fruit: 0.4609, IoU.furniture-other: 0.2246, IoU.grass: 0.7122, IoU.gravel: 0.3596, IoU.ground-other: 0.0294, IoU.hill: 0.2145, IoU.house: 0.2489, IoU.leaves: 0.3256, IoU.light: 0.4237, IoU.mat: 0.0025, IoU.metal: 0.3776, IoU.mirror-stuff: 0.6306, IoU.moss: 0.0000, IoU.mountain: 0.5543, IoU.mud: 0.0570, IoU.napkin: 0.0857, IoU.net: 0.4386, IoU.paper: 0.3455, IoU.pavement: 0.5301, IoU.pillow: 0.1859, IoU.plant-other: 0.1897, IoU.plastic: 0.2821, IoU.platform: 0.3485, IoU.playingfield: 0.6950, IoU.railing: 0.0930, IoU.railroad: 0.6235, IoU.river: 0.5007, IoU.road: 0.6816, IoU.rock: 0.3764, IoU.roof: 0.2369, IoU.rug: 0.3242, IoU.salad: 0.0000, IoU.sand: 0.6398, IoU.sea: 0.8527, IoU.shelf: 0.4022, IoU.sky-other: 0.7077, IoU.skyscraper: 0.3800, IoU.snow: 0.9136, IoU.solid-other: 0.0000, IoU.stairs: 0.2976, IoU.stone: 0.1557, IoU.straw: 0.3611, IoU.structural-other: 0.0085, IoU.table: 0.2052, IoU.tent: 0.0939, IoU.textile-other: 0.1875, IoU.towel: 0.3951, IoU.tree: 0.7458, IoU.vegetable: 0.4649, IoU.wall-brick: 0.5095, IoU.wall-concrete: 0.6343, IoU.wall-other: 0.2029, IoU.wall-panel: 0.0440, IoU.wall-stone: 0.3402, IoU.wall-tile: 0.7217, IoU.wall-wood: 0.4349, IoU.water-other: 0.2574, IoU.waterdrops: 0.0000, IoU.window-blind: 0.5432, IoU.window-other: 0.5181, IoU.wood: 0.3098, Acc.person: 0.9396, Acc.bicycle: 0.8665, Acc.car: 0.8450, Acc.motorcycle: 0.9128, Acc.airplane: 0.9348, Acc.bus: 0.9057, Acc.train: 0.9566, Acc.truck: 0.8305, Acc.boat: 0.8681, Acc.traffic light: 0.8765, Acc.fire hydrant: 0.9626, Acc.stop sign: 0.9844, Acc.parking meter: 0.8781, Acc.bench: 0.7584, Acc.bird: 0.9232, Acc.cat: 0.8671, Acc.dog: 0.8500, Acc.horse: 0.9482, Acc.sheep: 0.9596, Acc.cow: 0.9251, Acc.elephant: 0.9680, Acc.bear: 0.9618, Acc.zebra: 0.9471, Acc.giraffe: 0.9485, Acc.backpack: 0.7389, Acc.umbrella: 0.9489, Acc.handbag: 0.7222, Acc.tie: 0.1965, Acc.suitcase: 0.9411, Acc.frisbee: 0.9530, Acc.skis: 0.7798, Acc.snowboard: 0.8381, Acc.sports ball: 0.7746, Acc.kite: 0.8809, Acc.baseball bat: 0.8630, Acc.baseball glove: 0.9199, Acc.skateboard: 0.9146, Acc.surfboard: 0.9239, Acc.tennis racket: 0.9272, Acc.bottle: 0.6599, Acc.wine glass: 0.8341, Acc.cup: 0.8453, Acc.fork: 0.6770, Acc.knife: 0.7403, Acc.spoon: 0.5477, Acc.bowl: 0.7656, Acc.banana: 0.9346, Acc.apple: 0.7879, Acc.sandwich: 0.6294, Acc.orange: 0.8105, Acc.broccoli: 0.7190, Acc.carrot: 0.6371, Acc.hot dog: 0.7179, Acc.pizza: 0.9035, Acc.donut: 0.8886, Acc.cake: 0.8507, Acc.chair: 0.7141, Acc.couch: 0.8088, Acc.potted plant: 0.5321, Acc.bed: 0.8408, Acc.dining table: 0.7665, Acc.toilet: 0.9519, Acc.tv: 0.8764, Acc.laptop: 0.9593, Acc.mouse: 0.9006, Acc.remote: 0.8118, Acc.keyboard: 0.7250, Acc.cell phone: 0.8881, Acc.microwave: 0.7996, Acc.oven: 0.8246, Acc.toaster: 0.7041, Acc.sink: 0.8227, Acc.refrigerator: 0.9305, Acc.book: 0.7404, Acc.clock: 0.8092, Acc.vase: 0.8576, Acc.scissors: 0.9311, Acc.teddy bear: 0.9448, Acc.hair drier: 0.6060, Acc.toothbrush: 0.8727, Acc.banner: 0.6769, Acc.blanket: 0.0695, Acc.branch: 0.4524, Acc.bridge: 0.6655, Acc.building-other: 0.7441, Acc.bush: 0.4941, Acc.cabinet: 0.6770, Acc.cage: 0.4435, Acc.cardboard: 0.6252, Acc.carpet: 0.7856, Acc.ceiling-other: 0.8401, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0521, Acc.clothes: 0.3724, Acc.clouds: 0.5912, Acc.counter: 0.5373, Acc.cupboard: 0.1076, Acc.curtain: 0.8342, Acc.desk-stuff: 0.6502, Acc.dirt: 0.6070, Acc.door-stuff: 0.7276, Acc.fence: 0.5240, Acc.floor-marble: 0.0996, Acc.floor-other: 0.3301, Acc.floor-stone: 0.1192, Acc.floor-tile: 0.7889, Acc.floor-wood: 0.8109, Acc.flower: 0.6421, Acc.fog: 0.0428, Acc.food-other: 0.3507, Acc.fruit: 0.6450, Acc.furniture-other: 0.3246, Acc.grass: 0.8248, Acc.gravel: 0.5721, Acc.ground-other: 0.0367, Acc.hill: 0.2876, Acc.house: 0.3069, Acc.leaves: 0.5801, Acc.light: 0.6174, Acc.mat: 0.0027, Acc.metal: 0.5090, Acc.mirror-stuff: 0.7831, Acc.moss: 0.0000, Acc.mountain: 0.7193, Acc.mud: 0.0970, Acc.napkin: 0.1056, Acc.net: 0.6668, Acc.paper: 0.4886, Acc.pavement: 0.6620, Acc.pillow: 0.3480, Acc.plant-other: 0.2985, Acc.plastic: 0.3793, Acc.platform: 0.6227, Acc.playingfield: 0.9243, Acc.railing: 0.1875, Acc.railroad: 0.8053, Acc.river: 0.7191, Acc.road: 0.8568, Acc.rock: 0.4977, Acc.roof: 0.2988, Acc.rug: 0.4566, Acc.salad: 0.0000, Acc.sand: 0.6933, Acc.sea: 0.9251, Acc.shelf: 0.5142, Acc.sky-other: 0.8858, Acc.skyscraper: 0.5132, Acc.snow: 0.9433, Acc.solid-other: 0.0000, Acc.stairs: 0.5765, Acc.stone: 0.3399, Acc.straw: 0.5526, Acc.structural-other: 0.0086, Acc.table: 0.2654, Acc.tent: 0.1170, Acc.textile-other: 0.3081, Acc.towel: 0.4859, Acc.tree: 0.8553, Acc.vegetable: 0.5860, Acc.wall-brick: 0.7104, Acc.wall-concrete: 0.8048, Acc.wall-other: 0.3076, Acc.wall-panel: 0.0522, Acc.wall-stone: 0.4524, Acc.wall-tile: 0.8826, Acc.wall-wood: 0.6065, Acc.water-other: 0.3710, Acc.waterdrops: 0.0000, Acc.window-blind: 0.6579, Acc.window-other: 0.7038, Acc.wood: 0.4672 2022-09-13 10:09:27,210 - mmseg - INFO - Iter [56050/80000] lr: 4.299e-07, eta: 12:52:41, time: 8.371, data_time: 6.525, memory: 42763, decode.loss_cls: 0.7509, decode.loss_mask: 0.7684, decode.loss_dice: 1.1762, decode.d0.loss_cls: 2.4908, decode.d0.loss_mask: 0.7808, decode.d0.loss_dice: 1.3711, decode.d1.loss_cls: 0.8248, decode.d1.loss_mask: 0.7932, decode.d1.loss_dice: 1.2776, decode.d2.loss_cls: 0.7824, decode.d2.loss_mask: 0.7789, decode.d2.loss_dice: 1.2280, decode.d3.loss_cls: 0.7571, decode.d3.loss_mask: 0.7739, decode.d3.loss_dice: 1.2031, decode.d4.loss_cls: 0.7579, decode.d4.loss_mask: 0.7693, decode.d4.loss_dice: 1.2002, decode.d5.loss_cls: 0.7553, decode.d5.loss_mask: 0.7693, decode.d5.loss_dice: 1.1926, decode.d6.loss_cls: 0.7495, decode.d6.loss_mask: 0.7626, decode.d6.loss_dice: 1.1860, decode.d7.loss_cls: 0.7503, decode.d7.loss_mask: 0.7627, decode.d7.loss_dice: 1.1822, decode.d8.loss_cls: 0.7519, decode.d8.loss_mask: 0.7646, decode.d8.loss_dice: 1.1803, loss: 29.2918 2022-09-13 10:10:59,430 - mmseg - INFO - Iter [56100/80000] lr: 4.290e-07, eta: 12:51:02, time: 1.844, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7825, decode.loss_mask: 0.7459, decode.loss_dice: 1.1641, decode.d0.loss_cls: 2.5114, decode.d0.loss_mask: 0.7695, decode.d0.loss_dice: 1.3639, decode.d1.loss_cls: 0.8545, decode.d1.loss_mask: 0.7802, decode.d1.loss_dice: 1.2716, decode.d2.loss_cls: 0.7945, decode.d2.loss_mask: 0.7701, decode.d2.loss_dice: 1.2187, decode.d3.loss_cls: 0.7893, decode.d3.loss_mask: 0.7595, decode.d3.loss_dice: 1.1925, decode.d4.loss_cls: 0.7804, decode.d4.loss_mask: 0.7619, decode.d4.loss_dice: 1.1967, decode.d5.loss_cls: 0.7804, decode.d5.loss_mask: 0.7573, decode.d5.loss_dice: 1.1794, decode.d6.loss_cls: 0.7806, decode.d6.loss_mask: 0.7518, decode.d6.loss_dice: 1.1802, decode.d7.loss_cls: 0.7769, decode.d7.loss_mask: 0.7507, decode.d7.loss_dice: 1.1791, decode.d8.loss_cls: 0.7780, decode.d8.loss_mask: 0.7533, decode.d8.loss_dice: 1.1699, loss: 29.3446 2022-09-13 10:12:32,077 - mmseg - INFO - Iter [56150/80000] lr: 4.281e-07, eta: 12:49:24, time: 1.853, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7604, decode.loss_mask: 0.7553, decode.loss_dice: 1.1464, decode.d0.loss_cls: 2.4555, decode.d0.loss_mask: 0.7684, decode.d0.loss_dice: 1.3379, decode.d1.loss_cls: 0.8394, decode.d1.loss_mask: 0.7823, decode.d1.loss_dice: 1.2388, decode.d2.loss_cls: 0.7863, decode.d2.loss_mask: 0.7672, decode.d2.loss_dice: 1.1916, decode.d3.loss_cls: 0.7758, decode.d3.loss_mask: 0.7587, decode.d3.loss_dice: 1.1706, decode.d4.loss_cls: 0.7702, decode.d4.loss_mask: 0.7548, decode.d4.loss_dice: 1.1701, decode.d5.loss_cls: 0.7631, decode.d5.loss_mask: 0.7543, decode.d5.loss_dice: 1.1555, decode.d6.loss_cls: 0.7599, decode.d6.loss_mask: 0.7497, decode.d6.loss_dice: 1.1492, decode.d7.loss_cls: 0.7555, decode.d7.loss_mask: 0.7508, decode.d7.loss_dice: 1.1461, decode.d8.loss_cls: 0.7556, decode.d8.loss_mask: 0.7505, decode.d8.loss_dice: 1.1449, loss: 28.8647 2022-09-13 10:14:04,959 - mmseg - INFO - Iter [56200/80000] lr: 4.272e-07, eta: 12:47:45, time: 1.857, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7114, decode.loss_mask: 0.7294, decode.loss_dice: 1.1366, decode.d0.loss_cls: 2.4173, decode.d0.loss_mask: 0.7504, decode.d0.loss_dice: 1.3239, decode.d1.loss_cls: 0.7836, decode.d1.loss_mask: 0.7566, decode.d1.loss_dice: 1.2355, decode.d2.loss_cls: 0.7461, decode.d2.loss_mask: 0.7491, decode.d2.loss_dice: 1.1784, decode.d3.loss_cls: 0.7441, decode.d3.loss_mask: 0.7327, decode.d3.loss_dice: 1.1590, decode.d4.loss_cls: 0.7340, decode.d4.loss_mask: 0.7361, decode.d4.loss_dice: 1.1565, decode.d5.loss_cls: 0.7225, decode.d5.loss_mask: 0.7325, decode.d5.loss_dice: 1.1536, decode.d6.loss_cls: 0.7177, decode.d6.loss_mask: 0.7290, decode.d6.loss_dice: 1.1471, decode.d7.loss_cls: 0.7107, decode.d7.loss_mask: 0.7303, decode.d7.loss_dice: 1.1408, decode.d8.loss_cls: 0.7147, decode.d8.loss_mask: 0.7279, decode.d8.loss_dice: 1.1423, loss: 28.1499 2022-09-13 10:15:36,325 - mmseg - INFO - Iter [56250/80000] lr: 4.263e-07, eta: 12:46:06, time: 1.828, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7827, decode.loss_mask: 0.7550, decode.loss_dice: 1.1862, decode.d0.loss_cls: 2.5272, decode.d0.loss_mask: 0.7738, decode.d0.loss_dice: 1.3754, decode.d1.loss_cls: 0.8560, decode.d1.loss_mask: 0.7838, decode.d1.loss_dice: 1.2760, decode.d2.loss_cls: 0.8100, decode.d2.loss_mask: 0.7731, decode.d2.loss_dice: 1.2298, decode.d3.loss_cls: 0.7951, decode.d3.loss_mask: 0.7700, decode.d3.loss_dice: 1.2159, decode.d4.loss_cls: 0.7890, decode.d4.loss_mask: 0.7647, decode.d4.loss_dice: 1.2024, decode.d5.loss_cls: 0.7855, decode.d5.loss_mask: 0.7567, decode.d5.loss_dice: 1.1995, decode.d6.loss_cls: 0.7798, decode.d6.loss_mask: 0.7563, decode.d6.loss_dice: 1.1905, decode.d7.loss_cls: 0.7799, decode.d7.loss_mask: 0.7561, decode.d7.loss_dice: 1.1866, decode.d8.loss_cls: 0.7747, decode.d8.loss_mask: 0.7572, decode.d8.loss_dice: 1.1900, loss: 29.5787 2022-09-13 10:17:09,601 - mmseg - INFO - Iter [56300/80000] lr: 4.254e-07, eta: 12:44:28, time: 1.865, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7526, decode.loss_mask: 0.7596, decode.loss_dice: 1.1464, decode.d0.loss_cls: 2.4830, decode.d0.loss_mask: 0.7781, decode.d0.loss_dice: 1.3285, decode.d1.loss_cls: 0.8349, decode.d1.loss_mask: 0.7876, decode.d1.loss_dice: 1.2433, decode.d2.loss_cls: 0.7816, decode.d2.loss_mask: 0.7725, decode.d2.loss_dice: 1.1904, decode.d3.loss_cls: 0.7766, decode.d3.loss_mask: 0.7658, decode.d3.loss_dice: 1.1657, decode.d4.loss_cls: 0.7691, decode.d4.loss_mask: 0.7652, decode.d4.loss_dice: 1.1651, decode.d5.loss_cls: 0.7684, decode.d5.loss_mask: 0.7629, decode.d5.loss_dice: 1.1538, decode.d6.loss_cls: 0.7601, decode.d6.loss_mask: 0.7553, decode.d6.loss_dice: 1.1411, decode.d7.loss_cls: 0.7551, decode.d7.loss_mask: 0.7604, decode.d7.loss_dice: 1.1461, decode.d8.loss_cls: 0.7545, decode.d8.loss_mask: 0.7579, decode.d8.loss_dice: 1.1460, loss: 28.9279 2022-09-13 10:18:44,106 - mmseg - INFO - Iter [56350/80000] lr: 4.245e-07, eta: 12:42:50, time: 1.890, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7569, decode.loss_mask: 0.7447, decode.loss_dice: 1.1497, decode.d0.loss_cls: 2.4921, decode.d0.loss_mask: 0.7601, decode.d0.loss_dice: 1.3296, decode.d1.loss_cls: 0.8377, decode.d1.loss_mask: 0.7775, decode.d1.loss_dice: 1.2477, decode.d2.loss_cls: 0.7893, decode.d2.loss_mask: 0.7652, decode.d2.loss_dice: 1.1953, decode.d3.loss_cls: 0.7765, decode.d3.loss_mask: 0.7503, decode.d3.loss_dice: 1.1694, decode.d4.loss_cls: 0.7657, decode.d4.loss_mask: 0.7488, decode.d4.loss_dice: 1.1687, decode.d5.loss_cls: 0.7676, decode.d5.loss_mask: 0.7436, decode.d5.loss_dice: 1.1602, decode.d6.loss_cls: 0.7623, decode.d6.loss_mask: 0.7449, decode.d6.loss_dice: 1.1424, decode.d7.loss_cls: 0.7563, decode.d7.loss_mask: 0.7422, decode.d7.loss_dice: 1.1497, decode.d8.loss_cls: 0.7580, decode.d8.loss_mask: 0.7423, decode.d8.loss_dice: 1.1460, loss: 28.8407 2022-09-13 10:20:17,465 - mmseg - INFO - Iter [56400/80000] lr: 4.236e-07, eta: 12:41:12, time: 1.866, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7380, decode.loss_mask: 0.7437, decode.loss_dice: 1.1412, decode.d0.loss_cls: 2.4728, decode.d0.loss_mask: 0.7665, decode.d0.loss_dice: 1.3224, decode.d1.loss_cls: 0.8175, decode.d1.loss_mask: 0.7845, decode.d1.loss_dice: 1.2447, decode.d2.loss_cls: 0.7687, decode.d2.loss_mask: 0.7715, decode.d2.loss_dice: 1.1959, decode.d3.loss_cls: 0.7544, decode.d3.loss_mask: 0.7634, decode.d3.loss_dice: 1.1704, decode.d4.loss_cls: 0.7484, decode.d4.loss_mask: 0.7579, decode.d4.loss_dice: 1.1681, decode.d5.loss_cls: 0.7489, decode.d5.loss_mask: 0.7524, decode.d5.loss_dice: 1.1514, decode.d6.loss_cls: 0.7412, decode.d6.loss_mask: 0.7473, decode.d6.loss_dice: 1.1451, decode.d7.loss_cls: 0.7397, decode.d7.loss_mask: 0.7476, decode.d7.loss_dice: 1.1447, decode.d8.loss_cls: 0.7402, decode.d8.loss_mask: 0.7432, decode.d8.loss_dice: 1.1389, loss: 28.6705 2022-09-13 10:21:50,494 - mmseg - INFO - Iter [56450/80000] lr: 4.227e-07, eta: 12:39:34, time: 1.863, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7711, decode.loss_mask: 0.7491, decode.loss_dice: 1.1439, decode.d0.loss_cls: 2.4926, decode.d0.loss_mask: 0.7716, decode.d0.loss_dice: 1.3436, decode.d1.loss_cls: 0.8498, decode.d1.loss_mask: 0.7819, decode.d1.loss_dice: 1.2526, decode.d2.loss_cls: 0.8005, decode.d2.loss_mask: 0.7630, decode.d2.loss_dice: 1.1988, decode.d3.loss_cls: 0.7829, decode.d3.loss_mask: 0.7570, decode.d3.loss_dice: 1.1703, decode.d4.loss_cls: 0.7776, decode.d4.loss_mask: 0.7505, decode.d4.loss_dice: 1.1638, decode.d5.loss_cls: 0.7750, decode.d5.loss_mask: 0.7510, decode.d5.loss_dice: 1.1584, decode.d6.loss_cls: 0.7726, decode.d6.loss_mask: 0.7487, decode.d6.loss_dice: 1.1448, decode.d7.loss_cls: 0.7692, decode.d7.loss_mask: 0.7453, decode.d7.loss_dice: 1.1408, decode.d8.loss_cls: 0.7706, decode.d8.loss_mask: 0.7457, decode.d8.loss_dice: 1.1441, loss: 28.9869 2022-09-13 10:23:23,886 - mmseg - INFO - Iter [56500/80000] lr: 4.218e-07, eta: 12:37:55, time: 1.868, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7832, decode.loss_mask: 0.7399, decode.loss_dice: 1.1575, decode.d0.loss_cls: 2.5194, decode.d0.loss_mask: 0.7669, decode.d0.loss_dice: 1.3746, decode.d1.loss_cls: 0.8577, decode.d1.loss_mask: 0.7803, decode.d1.loss_dice: 1.2804, decode.d2.loss_cls: 0.7940, decode.d2.loss_mask: 0.7630, decode.d2.loss_dice: 1.2325, decode.d3.loss_cls: 0.7793, decode.d3.loss_mask: 0.7608, decode.d3.loss_dice: 1.1994, decode.d4.loss_cls: 0.7887, decode.d4.loss_mask: 0.7541, decode.d4.loss_dice: 1.1930, decode.d5.loss_cls: 0.7751, decode.d5.loss_mask: 0.7482, decode.d5.loss_dice: 1.1886, decode.d6.loss_cls: 0.7781, decode.d6.loss_mask: 0.7440, decode.d6.loss_dice: 1.1742, decode.d7.loss_cls: 0.7781, decode.d7.loss_mask: 0.7413, decode.d7.loss_dice: 1.1701, decode.d8.loss_cls: 0.7773, decode.d8.loss_mask: 0.7420, decode.d8.loss_dice: 1.1697, loss: 29.3116 2022-09-13 10:24:58,351 - mmseg - INFO - Iter [56550/80000] lr: 4.209e-07, eta: 12:36:18, time: 1.889, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7669, decode.loss_mask: 0.7486, decode.loss_dice: 1.1769, decode.d0.loss_cls: 2.4764, decode.d0.loss_mask: 0.7784, decode.d0.loss_dice: 1.3557, decode.d1.loss_cls: 0.8472, decode.d1.loss_mask: 0.7793, decode.d1.loss_dice: 1.2573, decode.d2.loss_cls: 0.7912, decode.d2.loss_mask: 0.7620, decode.d2.loss_dice: 1.2200, decode.d3.loss_cls: 0.7818, decode.d3.loss_mask: 0.7604, decode.d3.loss_dice: 1.1960, decode.d4.loss_cls: 0.7742, decode.d4.loss_mask: 0.7586, decode.d4.loss_dice: 1.1946, decode.d5.loss_cls: 0.7751, decode.d5.loss_mask: 0.7514, decode.d5.loss_dice: 1.1820, decode.d6.loss_cls: 0.7748, decode.d6.loss_mask: 0.7450, decode.d6.loss_dice: 1.1795, decode.d7.loss_cls: 0.7719, decode.d7.loss_mask: 0.7462, decode.d7.loss_dice: 1.1770, decode.d8.loss_cls: 0.7667, decode.d8.loss_mask: 0.7493, decode.d8.loss_dice: 1.1766, loss: 29.2211 2022-09-13 10:26:31,468 - mmseg - INFO - Iter [56600/80000] lr: 4.200e-07, eta: 12:34:39, time: 1.862, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7332, decode.loss_mask: 0.7601, decode.loss_dice: 1.1843, decode.d0.loss_cls: 2.4570, decode.d0.loss_mask: 0.7799, decode.d0.loss_dice: 1.3628, decode.d1.loss_cls: 0.8160, decode.d1.loss_mask: 0.7942, decode.d1.loss_dice: 1.2769, decode.d2.loss_cls: 0.7677, decode.d2.loss_mask: 0.7781, decode.d2.loss_dice: 1.2252, decode.d3.loss_cls: 0.7533, decode.d3.loss_mask: 0.7747, decode.d3.loss_dice: 1.2016, decode.d4.loss_cls: 0.7425, decode.d4.loss_mask: 0.7681, decode.d4.loss_dice: 1.1964, decode.d5.loss_cls: 0.7336, decode.d5.loss_mask: 0.7634, decode.d5.loss_dice: 1.1891, decode.d6.loss_cls: 0.7346, decode.d6.loss_mask: 0.7592, decode.d6.loss_dice: 1.1800, decode.d7.loss_cls: 0.7277, decode.d7.loss_mask: 0.7603, decode.d7.loss_dice: 1.1817, decode.d8.loss_cls: 0.7270, decode.d8.loss_mask: 0.7617, decode.d8.loss_dice: 1.1843, loss: 29.0748 2022-09-13 10:28:05,428 - mmseg - INFO - Iter [56650/80000] lr: 4.191e-07, eta: 12:33:02, time: 1.878, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7415, decode.loss_mask: 0.7394, decode.loss_dice: 1.1663, decode.d0.loss_cls: 2.5077, decode.d0.loss_mask: 0.7586, decode.d0.loss_dice: 1.3564, decode.d1.loss_cls: 0.8190, decode.d1.loss_mask: 0.7739, decode.d1.loss_dice: 1.2744, decode.d2.loss_cls: 0.7795, decode.d2.loss_mask: 0.7527, decode.d2.loss_dice: 1.2214, decode.d3.loss_cls: 0.7665, decode.d3.loss_mask: 0.7507, decode.d3.loss_dice: 1.1974, decode.d4.loss_cls: 0.7600, decode.d4.loss_mask: 0.7444, decode.d4.loss_dice: 1.1953, decode.d5.loss_cls: 0.7508, decode.d5.loss_mask: 0.7464, decode.d5.loss_dice: 1.1817, decode.d6.loss_cls: 0.7517, decode.d6.loss_mask: 0.7443, decode.d6.loss_dice: 1.1748, decode.d7.loss_cls: 0.7484, decode.d7.loss_mask: 0.7413, decode.d7.loss_dice: 1.1781, decode.d8.loss_cls: 0.7416, decode.d8.loss_mask: 0.7389, decode.d8.loss_dice: 1.1718, loss: 28.9750 2022-09-13 10:29:39,046 - mmseg - INFO - Iter [56700/80000] lr: 4.182e-07, eta: 12:31:24, time: 1.874, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7675, decode.loss_mask: 0.7540, decode.loss_dice: 1.1553, decode.d0.loss_cls: 2.4911, decode.d0.loss_mask: 0.7810, decode.d0.loss_dice: 1.3409, decode.d1.loss_cls: 0.8383, decode.d1.loss_mask: 0.7939, decode.d1.loss_dice: 1.2533, decode.d2.loss_cls: 0.7977, decode.d2.loss_mask: 0.7752, decode.d2.loss_dice: 1.2081, decode.d3.loss_cls: 0.7837, decode.d3.loss_mask: 0.7686, decode.d3.loss_dice: 1.1834, decode.d4.loss_cls: 0.7747, decode.d4.loss_mask: 0.7660, decode.d4.loss_dice: 1.1818, decode.d5.loss_cls: 0.7674, decode.d5.loss_mask: 0.7570, decode.d5.loss_dice: 1.1631, decode.d6.loss_cls: 0.7663, decode.d6.loss_mask: 0.7588, decode.d6.loss_dice: 1.1638, decode.d7.loss_cls: 0.7741, decode.d7.loss_mask: 0.7572, decode.d7.loss_dice: 1.1595, decode.d8.loss_cls: 0.7660, decode.d8.loss_mask: 0.7558, decode.d8.loss_dice: 1.1556, loss: 29.1593 2022-09-13 10:31:11,944 - mmseg - INFO - Iter [56750/80000] lr: 4.173e-07, eta: 12:29:45, time: 1.858, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7679, decode.loss_mask: 0.7532, decode.loss_dice: 1.1682, decode.d0.loss_cls: 2.4805, decode.d0.loss_mask: 0.7804, decode.d0.loss_dice: 1.3492, decode.d1.loss_cls: 0.8471, decode.d1.loss_mask: 0.7848, decode.d1.loss_dice: 1.2678, decode.d2.loss_cls: 0.8003, decode.d2.loss_mask: 0.7662, decode.d2.loss_dice: 1.2230, decode.d3.loss_cls: 0.7819, decode.d3.loss_mask: 0.7613, decode.d3.loss_dice: 1.1902, decode.d4.loss_cls: 0.7780, decode.d4.loss_mask: 0.7609, decode.d4.loss_dice: 1.1925, decode.d5.loss_cls: 0.7736, decode.d5.loss_mask: 0.7575, decode.d5.loss_dice: 1.1797, decode.d6.loss_cls: 0.7707, decode.d6.loss_mask: 0.7548, decode.d6.loss_dice: 1.1737, decode.d7.loss_cls: 0.7691, decode.d7.loss_mask: 0.7547, decode.d7.loss_dice: 1.1777, decode.d8.loss_cls: 0.7647, decode.d8.loss_mask: 0.7537, decode.d8.loss_dice: 1.1713, loss: 29.2547 2022-09-13 10:32:44,109 - mmseg - INFO - Iter [56800/80000] lr: 4.164e-07, eta: 12:28:07, time: 1.843, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7687, decode.loss_mask: 0.7752, decode.loss_dice: 1.1771, decode.d0.loss_cls: 2.4961, decode.d0.loss_mask: 0.7978, decode.d0.loss_dice: 1.3644, decode.d1.loss_cls: 0.8511, decode.d1.loss_mask: 0.8055, decode.d1.loss_dice: 1.2772, decode.d2.loss_cls: 0.7943, decode.d2.loss_mask: 0.7929, decode.d2.loss_dice: 1.2309, decode.d3.loss_cls: 0.7802, decode.d3.loss_mask: 0.7839, decode.d3.loss_dice: 1.2089, decode.d4.loss_cls: 0.7777, decode.d4.loss_mask: 0.7863, decode.d4.loss_dice: 1.2082, decode.d5.loss_cls: 0.7738, decode.d5.loss_mask: 0.7777, decode.d5.loss_dice: 1.1939, decode.d6.loss_cls: 0.7685, decode.d6.loss_mask: 0.7776, decode.d6.loss_dice: 1.1838, decode.d7.loss_cls: 0.7715, decode.d7.loss_mask: 0.7797, decode.d7.loss_dice: 1.1761, decode.d8.loss_cls: 0.7700, decode.d8.loss_mask: 0.7766, decode.d8.loss_dice: 1.1766, loss: 29.6022 2022-09-13 10:34:16,748 - mmseg - INFO - Iter [56850/80000] lr: 4.155e-07, eta: 12:26:28, time: 1.851, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7738, decode.loss_mask: 0.7612, decode.loss_dice: 1.1580, decode.d0.loss_cls: 2.4766, decode.d0.loss_mask: 0.7804, decode.d0.loss_dice: 1.3358, decode.d1.loss_cls: 0.8525, decode.d1.loss_mask: 0.7979, decode.d1.loss_dice: 1.2594, decode.d2.loss_cls: 0.8014, decode.d2.loss_mask: 0.7826, decode.d2.loss_dice: 1.2052, decode.d3.loss_cls: 0.7820, decode.d3.loss_mask: 0.7785, decode.d3.loss_dice: 1.1850, decode.d4.loss_cls: 0.7794, decode.d4.loss_mask: 0.7690, decode.d4.loss_dice: 1.1749, decode.d5.loss_cls: 0.7752, decode.d5.loss_mask: 0.7642, decode.d5.loss_dice: 1.1679, decode.d6.loss_cls: 0.7661, decode.d6.loss_mask: 0.7596, decode.d6.loss_dice: 1.1618, decode.d7.loss_cls: 0.7600, decode.d7.loss_mask: 0.7603, decode.d7.loss_dice: 1.1614, decode.d8.loss_cls: 0.7635, decode.d8.loss_mask: 0.7588, decode.d8.loss_dice: 1.1555, loss: 29.2078 2022-09-13 10:35:50,316 - mmseg - INFO - Iter [56900/80000] lr: 4.146e-07, eta: 12:24:50, time: 1.873, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7571, decode.loss_mask: 0.7621, decode.loss_dice: 1.1806, decode.d0.loss_cls: 2.4624, decode.d0.loss_mask: 0.7701, decode.d0.loss_dice: 1.3662, decode.d1.loss_cls: 0.8418, decode.d1.loss_mask: 0.7899, decode.d1.loss_dice: 1.2691, decode.d2.loss_cls: 0.7909, decode.d2.loss_mask: 0.7737, decode.d2.loss_dice: 1.2130, decode.d3.loss_cls: 0.7750, decode.d3.loss_mask: 0.7661, decode.d3.loss_dice: 1.1957, decode.d4.loss_cls: 0.7738, decode.d4.loss_mask: 0.7656, decode.d4.loss_dice: 1.1915, decode.d5.loss_cls: 0.7612, decode.d5.loss_mask: 0.7651, decode.d5.loss_dice: 1.1884, decode.d6.loss_cls: 0.7637, decode.d6.loss_mask: 0.7614, decode.d6.loss_dice: 1.1730, decode.d7.loss_cls: 0.7634, decode.d7.loss_mask: 0.7622, decode.d7.loss_dice: 1.1783, decode.d8.loss_cls: 0.7514, decode.d8.loss_mask: 0.7631, decode.d8.loss_dice: 1.1781, loss: 29.2540 2022-09-13 10:37:22,289 - mmseg - INFO - Iter [56950/80000] lr: 4.137e-07, eta: 12:23:11, time: 1.840, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7490, decode.loss_mask: 0.7618, decode.loss_dice: 1.1549, decode.d0.loss_cls: 2.4602, decode.d0.loss_mask: 0.7889, decode.d0.loss_dice: 1.3425, decode.d1.loss_cls: 0.8327, decode.d1.loss_mask: 0.7993, decode.d1.loss_dice: 1.2475, decode.d2.loss_cls: 0.7835, decode.d2.loss_mask: 0.7795, decode.d2.loss_dice: 1.1977, decode.d3.loss_cls: 0.7707, decode.d3.loss_mask: 0.7713, decode.d3.loss_dice: 1.1746, decode.d4.loss_cls: 0.7643, decode.d4.loss_mask: 0.7726, decode.d4.loss_dice: 1.1711, decode.d5.loss_cls: 0.7523, decode.d5.loss_mask: 0.7696, decode.d5.loss_dice: 1.1758, decode.d6.loss_cls: 0.7488, decode.d6.loss_mask: 0.7668, decode.d6.loss_dice: 1.1577, decode.d7.loss_cls: 0.7477, decode.d7.loss_mask: 0.7643, decode.d7.loss_dice: 1.1634, decode.d8.loss_cls: 0.7493, decode.d8.loss_mask: 0.7654, decode.d8.loss_dice: 1.1608, loss: 29.0441 2022-09-13 10:38:54,763 - mmseg - INFO - Saving checkpoint at 57000 iterations 2022-09-13 10:39:26,431 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 10:39:26,435 - mmseg - INFO - Iter [57000/80000] lr: 4.128e-07, eta: 12:21:46, time: 2.481, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7126, decode.loss_mask: 0.7731, decode.loss_dice: 1.1484, decode.d0.loss_cls: 2.4390, decode.d0.loss_mask: 0.7918, decode.d0.loss_dice: 1.3242, decode.d1.loss_cls: 0.8038, decode.d1.loss_mask: 0.8145, decode.d1.loss_dice: 1.2386, decode.d2.loss_cls: 0.7451, decode.d2.loss_mask: 0.8000, decode.d2.loss_dice: 1.1929, decode.d3.loss_cls: 0.7354, decode.d3.loss_mask: 0.7867, decode.d3.loss_dice: 1.1698, decode.d4.loss_cls: 0.7223, decode.d4.loss_mask: 0.7885, decode.d4.loss_dice: 1.1731, decode.d5.loss_cls: 0.7205, decode.d5.loss_mask: 0.7854, decode.d5.loss_dice: 1.1606, decode.d6.loss_cls: 0.7169, decode.d6.loss_mask: 0.7785, decode.d6.loss_dice: 1.1518, decode.d7.loss_cls: 0.7174, decode.d7.loss_mask: 0.7764, decode.d7.loss_dice: 1.1492, decode.d8.loss_cls: 0.7132, decode.d8.loss_mask: 0.7758, decode.d8.loss_dice: 1.1518, loss: 28.7574 2022-09-13 10:41:00,163 - mmseg - INFO - Iter [57050/80000] lr: 4.119e-07, eta: 12:20:08, time: 1.876, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7276, decode.loss_mask: 0.7398, decode.loss_dice: 1.1436, decode.d0.loss_cls: 2.4650, decode.d0.loss_mask: 0.7562, decode.d0.loss_dice: 1.3219, decode.d1.loss_cls: 0.8173, decode.d1.loss_mask: 0.7731, decode.d1.loss_dice: 1.2307, decode.d2.loss_cls: 0.7604, decode.d2.loss_mask: 0.7538, decode.d2.loss_dice: 1.1865, decode.d3.loss_cls: 0.7402, decode.d3.loss_mask: 0.7430, decode.d3.loss_dice: 1.1571, decode.d4.loss_cls: 0.7343, decode.d4.loss_mask: 0.7415, decode.d4.loss_dice: 1.1594, decode.d5.loss_cls: 0.7330, decode.d5.loss_mask: 0.7371, decode.d5.loss_dice: 1.1471, decode.d6.loss_cls: 0.7305, decode.d6.loss_mask: 0.7360, decode.d6.loss_dice: 1.1440, decode.d7.loss_cls: 0.7265, decode.d7.loss_mask: 0.7368, decode.d7.loss_dice: 1.1398, decode.d8.loss_cls: 0.7256, decode.d8.loss_mask: 0.7366, decode.d8.loss_dice: 1.1424, loss: 28.3870 2022-09-13 10:42:33,491 - mmseg - INFO - Iter [57100/80000] lr: 4.110e-07, eta: 12:18:30, time: 1.866, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7350, decode.loss_mask: 0.7447, decode.loss_dice: 1.1535, decode.d0.loss_cls: 2.4728, decode.d0.loss_mask: 0.7533, decode.d0.loss_dice: 1.3283, decode.d1.loss_cls: 0.8156, decode.d1.loss_mask: 0.7652, decode.d1.loss_dice: 1.2474, decode.d2.loss_cls: 0.7698, decode.d2.loss_mask: 0.7550, decode.d2.loss_dice: 1.1975, decode.d3.loss_cls: 0.7569, decode.d3.loss_mask: 0.7482, decode.d3.loss_dice: 1.1768, decode.d4.loss_cls: 0.7434, decode.d4.loss_mask: 0.7494, decode.d4.loss_dice: 1.1660, decode.d5.loss_cls: 0.7389, decode.d5.loss_mask: 0.7419, decode.d5.loss_dice: 1.1626, decode.d6.loss_cls: 0.7379, decode.d6.loss_mask: 0.7456, decode.d6.loss_dice: 1.1551, decode.d7.loss_cls: 0.7332, decode.d7.loss_mask: 0.7466, decode.d7.loss_dice: 1.1561, decode.d8.loss_cls: 0.7299, decode.d8.loss_mask: 0.7444, decode.d8.loss_dice: 1.1581, loss: 28.6290 2022-09-13 10:44:06,486 - mmseg - INFO - Iter [57150/80000] lr: 4.101e-07, eta: 12:16:51, time: 1.860, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7234, decode.loss_mask: 0.7573, decode.loss_dice: 1.1494, decode.d0.loss_cls: 2.4044, decode.d0.loss_mask: 0.7731, decode.d0.loss_dice: 1.3233, decode.d1.loss_cls: 0.7970, decode.d1.loss_mask: 0.7898, decode.d1.loss_dice: 1.2479, decode.d2.loss_cls: 0.7566, decode.d2.loss_mask: 0.7733, decode.d2.loss_dice: 1.1952, decode.d3.loss_cls: 0.7394, decode.d3.loss_mask: 0.7707, decode.d3.loss_dice: 1.1781, decode.d4.loss_cls: 0.7366, decode.d4.loss_mask: 0.7658, decode.d4.loss_dice: 1.1725, decode.d5.loss_cls: 0.7301, decode.d5.loss_mask: 0.7653, decode.d5.loss_dice: 1.1688, decode.d6.loss_cls: 0.7282, decode.d6.loss_mask: 0.7619, decode.d6.loss_dice: 1.1488, decode.d7.loss_cls: 0.7256, decode.d7.loss_mask: 0.7592, decode.d7.loss_dice: 1.1479, decode.d8.loss_cls: 0.7181, decode.d8.loss_mask: 0.7543, decode.d8.loss_dice: 1.1531, loss: 28.6151 2022-09-13 10:45:40,212 - mmseg - INFO - Iter [57200/80000] lr: 4.092e-07, eta: 12:15:14, time: 1.875, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7661, decode.loss_mask: 0.7496, decode.loss_dice: 1.1806, decode.d0.loss_cls: 2.4986, decode.d0.loss_mask: 0.7679, decode.d0.loss_dice: 1.3706, decode.d1.loss_cls: 0.8468, decode.d1.loss_mask: 0.7818, decode.d1.loss_dice: 1.2829, decode.d2.loss_cls: 0.7917, decode.d2.loss_mask: 0.7705, decode.d2.loss_dice: 1.2313, decode.d3.loss_cls: 0.7827, decode.d3.loss_mask: 0.7595, decode.d3.loss_dice: 1.2145, decode.d4.loss_cls: 0.7761, decode.d4.loss_mask: 0.7554, decode.d4.loss_dice: 1.1978, decode.d5.loss_cls: 0.7716, decode.d5.loss_mask: 0.7535, decode.d5.loss_dice: 1.1973, decode.d6.loss_cls: 0.7721, decode.d6.loss_mask: 0.7503, decode.d6.loss_dice: 1.1841, decode.d7.loss_cls: 0.7624, decode.d7.loss_mask: 0.7455, decode.d7.loss_dice: 1.1876, decode.d8.loss_cls: 0.7642, decode.d8.loss_mask: 0.7470, decode.d8.loss_dice: 1.1883, loss: 29.3482 2022-09-13 10:47:12,427 - mmseg - INFO - Iter [57250/80000] lr: 4.083e-07, eta: 12:13:35, time: 1.844, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7386, decode.loss_mask: 0.7281, decode.loss_dice: 1.1292, decode.d0.loss_cls: 2.4803, decode.d0.loss_mask: 0.7511, decode.d0.loss_dice: 1.3225, decode.d1.loss_cls: 0.8322, decode.d1.loss_mask: 0.7560, decode.d1.loss_dice: 1.2222, decode.d2.loss_cls: 0.7834, decode.d2.loss_mask: 0.7369, decode.d2.loss_dice: 1.1656, decode.d3.loss_cls: 0.7642, decode.d3.loss_mask: 0.7284, decode.d3.loss_dice: 1.1483, decode.d4.loss_cls: 0.7481, decode.d4.loss_mask: 0.7328, decode.d4.loss_dice: 1.1476, decode.d5.loss_cls: 0.7454, decode.d5.loss_mask: 0.7274, decode.d5.loss_dice: 1.1387, decode.d6.loss_cls: 0.7434, decode.d6.loss_mask: 0.7256, decode.d6.loss_dice: 1.1312, decode.d7.loss_cls: 0.7350, decode.d7.loss_mask: 0.7272, decode.d7.loss_dice: 1.1338, decode.d8.loss_cls: 0.7345, decode.d8.loss_mask: 0.7320, decode.d8.loss_dice: 1.1306, loss: 28.3204 2022-09-13 10:48:45,496 - mmseg - INFO - Iter [57300/80000] lr: 4.074e-07, eta: 12:11:57, time: 1.862, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7538, decode.loss_mask: 0.7233, decode.loss_dice: 1.1603, decode.d0.loss_cls: 2.5007, decode.d0.loss_mask: 0.7401, decode.d0.loss_dice: 1.3459, decode.d1.loss_cls: 0.8351, decode.d1.loss_mask: 0.7567, decode.d1.loss_dice: 1.2645, decode.d2.loss_cls: 0.7874, decode.d2.loss_mask: 0.7378, decode.d2.loss_dice: 1.2051, decode.d3.loss_cls: 0.7731, decode.d3.loss_mask: 0.7336, decode.d3.loss_dice: 1.1866, decode.d4.loss_cls: 0.7702, decode.d4.loss_mask: 0.7310, decode.d4.loss_dice: 1.1854, decode.d5.loss_cls: 0.7679, decode.d5.loss_mask: 0.7236, decode.d5.loss_dice: 1.1787, decode.d6.loss_cls: 0.7616, decode.d6.loss_mask: 0.7206, decode.d6.loss_dice: 1.1642, decode.d7.loss_cls: 0.7592, decode.d7.loss_mask: 0.7250, decode.d7.loss_dice: 1.1664, decode.d8.loss_cls: 0.7564, decode.d8.loss_mask: 0.7200, decode.d8.loss_dice: 1.1589, loss: 28.7930 2022-09-13 10:50:19,780 - mmseg - INFO - Iter [57350/80000] lr: 4.065e-07, eta: 12:10:19, time: 1.885, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7499, decode.loss_mask: 0.7321, decode.loss_dice: 1.1445, decode.d0.loss_cls: 2.4572, decode.d0.loss_mask: 0.7614, decode.d0.loss_dice: 1.3292, decode.d1.loss_cls: 0.8266, decode.d1.loss_mask: 0.7771, decode.d1.loss_dice: 1.2394, decode.d2.loss_cls: 0.7842, decode.d2.loss_mask: 0.7493, decode.d2.loss_dice: 1.1891, decode.d3.loss_cls: 0.7639, decode.d3.loss_mask: 0.7450, decode.d3.loss_dice: 1.1607, decode.d4.loss_cls: 0.7627, decode.d4.loss_mask: 0.7432, decode.d4.loss_dice: 1.1599, decode.d5.loss_cls: 0.7621, decode.d5.loss_mask: 0.7334, decode.d5.loss_dice: 1.1499, decode.d6.loss_cls: 0.7519, decode.d6.loss_mask: 0.7337, decode.d6.loss_dice: 1.1427, decode.d7.loss_cls: 0.7517, decode.d7.loss_mask: 0.7319, decode.d7.loss_dice: 1.1444, decode.d8.loss_cls: 0.7518, decode.d8.loss_mask: 0.7308, decode.d8.loss_dice: 1.1431, loss: 28.6029 2022-09-13 10:51:52,828 - mmseg - INFO - Iter [57400/80000] lr: 4.056e-07, eta: 12:08:41, time: 1.862, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7238, decode.loss_mask: 0.7494, decode.loss_dice: 1.1616, decode.d0.loss_cls: 2.4623, decode.d0.loss_mask: 0.7775, decode.d0.loss_dice: 1.3379, decode.d1.loss_cls: 0.8041, decode.d1.loss_mask: 0.7829, decode.d1.loss_dice: 1.2512, decode.d2.loss_cls: 0.7515, decode.d2.loss_mask: 0.7681, decode.d2.loss_dice: 1.2014, decode.d3.loss_cls: 0.7461, decode.d3.loss_mask: 0.7630, decode.d3.loss_dice: 1.1803, decode.d4.loss_cls: 0.7422, decode.d4.loss_mask: 0.7549, decode.d4.loss_dice: 1.1747, decode.d5.loss_cls: 0.7279, decode.d5.loss_mask: 0.7551, decode.d5.loss_dice: 1.1724, decode.d6.loss_cls: 0.7280, decode.d6.loss_mask: 0.7477, decode.d6.loss_dice: 1.1688, decode.d7.loss_cls: 0.7276, decode.d7.loss_mask: 0.7477, decode.d7.loss_dice: 1.1649, decode.d8.loss_cls: 0.7243, decode.d8.loss_mask: 0.7519, decode.d8.loss_dice: 1.1621, loss: 28.7110 2022-09-13 10:53:25,959 - mmseg - INFO - Iter [57450/80000] lr: 4.047e-07, eta: 12:07:03, time: 1.863, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7589, decode.loss_mask: 0.7496, decode.loss_dice: 1.1470, decode.d0.loss_cls: 2.4818, decode.d0.loss_mask: 0.7713, decode.d0.loss_dice: 1.3421, decode.d1.loss_cls: 0.8459, decode.d1.loss_mask: 0.7861, decode.d1.loss_dice: 1.2554, decode.d2.loss_cls: 0.7943, decode.d2.loss_mask: 0.7618, decode.d2.loss_dice: 1.1964, decode.d3.loss_cls: 0.7764, decode.d3.loss_mask: 0.7576, decode.d3.loss_dice: 1.1714, decode.d4.loss_cls: 0.7691, decode.d4.loss_mask: 0.7519, decode.d4.loss_dice: 1.1658, decode.d5.loss_cls: 0.7693, decode.d5.loss_mask: 0.7519, decode.d5.loss_dice: 1.1572, decode.d6.loss_cls: 0.7593, decode.d6.loss_mask: 0.7499, decode.d6.loss_dice: 1.1601, decode.d7.loss_cls: 0.7612, decode.d7.loss_mask: 0.7486, decode.d7.loss_dice: 1.1486, decode.d8.loss_cls: 0.7587, decode.d8.loss_mask: 0.7497, decode.d8.loss_dice: 1.1575, loss: 28.9549 2022-09-13 10:54:59,023 - mmseg - INFO - Iter [57500/80000] lr: 4.038e-07, eta: 12:05:25, time: 1.861, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7545, decode.loss_mask: 0.7258, decode.loss_dice: 1.1558, decode.d0.loss_cls: 2.4683, decode.d0.loss_mask: 0.7555, decode.d0.loss_dice: 1.3356, decode.d1.loss_cls: 0.8228, decode.d1.loss_mask: 0.7573, decode.d1.loss_dice: 1.2508, decode.d2.loss_cls: 0.7772, decode.d2.loss_mask: 0.7405, decode.d2.loss_dice: 1.1985, decode.d3.loss_cls: 0.7649, decode.d3.loss_mask: 0.7332, decode.d3.loss_dice: 1.1770, decode.d4.loss_cls: 0.7607, decode.d4.loss_mask: 0.7323, decode.d4.loss_dice: 1.1756, decode.d5.loss_cls: 0.7561, decode.d5.loss_mask: 0.7325, decode.d5.loss_dice: 1.1614, decode.d6.loss_cls: 0.7520, decode.d6.loss_mask: 0.7269, decode.d6.loss_dice: 1.1513, decode.d7.loss_cls: 0.7541, decode.d7.loss_mask: 0.7255, decode.d7.loss_dice: 1.1540, decode.d8.loss_cls: 0.7558, decode.d8.loss_mask: 0.7278, decode.d8.loss_dice: 1.1523, loss: 28.6359 2022-09-13 10:56:32,117 - mmseg - INFO - Iter [57550/80000] lr: 4.029e-07, eta: 12:03:46, time: 1.862, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7815, decode.loss_mask: 0.7357, decode.loss_dice: 1.1671, decode.d0.loss_cls: 2.5327, decode.d0.loss_mask: 0.7576, decode.d0.loss_dice: 1.3577, decode.d1.loss_cls: 0.8654, decode.d1.loss_mask: 0.7687, decode.d1.loss_dice: 1.2753, decode.d2.loss_cls: 0.8120, decode.d2.loss_mask: 0.7547, decode.d2.loss_dice: 1.2159, decode.d3.loss_cls: 0.8043, decode.d3.loss_mask: 0.7462, decode.d3.loss_dice: 1.1875, decode.d4.loss_cls: 0.7905, decode.d4.loss_mask: 0.7438, decode.d4.loss_dice: 1.1889, decode.d5.loss_cls: 0.7853, decode.d5.loss_mask: 0.7426, decode.d5.loss_dice: 1.1785, decode.d6.loss_cls: 0.7860, decode.d6.loss_mask: 0.7407, decode.d6.loss_dice: 1.1747, decode.d7.loss_cls: 0.7851, decode.d7.loss_mask: 0.7411, decode.d7.loss_dice: 1.1755, decode.d8.loss_cls: 0.7829, decode.d8.loss_mask: 0.7363, decode.d8.loss_dice: 1.1708, loss: 29.2849 2022-09-13 10:58:06,288 - mmseg - INFO - Iter [57600/80000] lr: 4.020e-07, eta: 12:02:09, time: 1.883, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7588, decode.loss_mask: 0.7558, decode.loss_dice: 1.1643, decode.d0.loss_cls: 2.5087, decode.d0.loss_mask: 0.7767, decode.d0.loss_dice: 1.3522, decode.d1.loss_cls: 0.8398, decode.d1.loss_mask: 0.7850, decode.d1.loss_dice: 1.2603, decode.d2.loss_cls: 0.7889, decode.d2.loss_mask: 0.7721, decode.d2.loss_dice: 1.2064, decode.d3.loss_cls: 0.7732, decode.d3.loss_mask: 0.7642, decode.d3.loss_dice: 1.1886, decode.d4.loss_cls: 0.7663, decode.d4.loss_mask: 0.7595, decode.d4.loss_dice: 1.1838, decode.d5.loss_cls: 0.7639, decode.d5.loss_mask: 0.7579, decode.d5.loss_dice: 1.1791, decode.d6.loss_cls: 0.7639, decode.d6.loss_mask: 0.7528, decode.d6.loss_dice: 1.1652, decode.d7.loss_cls: 0.7617, decode.d7.loss_mask: 0.7557, decode.d7.loss_dice: 1.1656, decode.d8.loss_cls: 0.7582, decode.d8.loss_mask: 0.7532, decode.d8.loss_dice: 1.1644, loss: 29.1461 2022-09-13 10:59:40,654 - mmseg - INFO - Iter [57650/80000] lr: 4.011e-07, eta: 12:00:31, time: 1.883, data_time: 0.017, memory: 42763, decode.loss_cls: 0.7721, decode.loss_mask: 0.7482, decode.loss_dice: 1.1676, decode.d0.loss_cls: 2.5169, decode.d0.loss_mask: 0.7761, decode.d0.loss_dice: 1.3614, decode.d1.loss_cls: 0.8674, decode.d1.loss_mask: 0.7753, decode.d1.loss_dice: 1.2630, decode.d2.loss_cls: 0.8069, decode.d2.loss_mask: 0.7619, decode.d2.loss_dice: 1.2179, decode.d3.loss_cls: 0.7958, decode.d3.loss_mask: 0.7544, decode.d3.loss_dice: 1.1897, decode.d4.loss_cls: 0.7884, decode.d4.loss_mask: 0.7533, decode.d4.loss_dice: 1.1785, decode.d5.loss_cls: 0.7851, decode.d5.loss_mask: 0.7505, decode.d5.loss_dice: 1.1743, decode.d6.loss_cls: 0.7852, decode.d6.loss_mask: 0.7499, decode.d6.loss_dice: 1.1605, decode.d7.loss_cls: 0.7785, decode.d7.loss_mask: 0.7465, decode.d7.loss_dice: 1.1608, decode.d8.loss_cls: 0.7754, decode.d8.loss_mask: 0.7471, decode.d8.loss_dice: 1.1651, loss: 29.2738 2022-09-13 11:01:13,834 - mmseg - INFO - Iter [57700/80000] lr: 4.002e-07, eta: 11:58:53, time: 1.868, data_time: 0.018, memory: 42763, decode.loss_cls: 0.7757, decode.loss_mask: 0.7478, decode.loss_dice: 1.1825, decode.d0.loss_cls: 2.5272, decode.d0.loss_mask: 0.7629, decode.d0.loss_dice: 1.3662, decode.d1.loss_cls: 0.8496, decode.d1.loss_mask: 0.7871, decode.d1.loss_dice: 1.2822, decode.d2.loss_cls: 0.7987, decode.d2.loss_mask: 0.7565, decode.d2.loss_dice: 1.2316, decode.d3.loss_cls: 0.7896, decode.d3.loss_mask: 0.7577, decode.d3.loss_dice: 1.2058, decode.d4.loss_cls: 0.7818, decode.d4.loss_mask: 0.7564, decode.d4.loss_dice: 1.2046, decode.d5.loss_cls: 0.7751, decode.d5.loss_mask: 0.7488, decode.d5.loss_dice: 1.2009, decode.d6.loss_cls: 0.7759, decode.d6.loss_mask: 0.7474, decode.d6.loss_dice: 1.1849, decode.d7.loss_cls: 0.7743, decode.d7.loss_mask: 0.7470, decode.d7.loss_dice: 1.1854, decode.d8.loss_cls: 0.7721, decode.d8.loss_mask: 0.7478, decode.d8.loss_dice: 1.1872, loss: 29.4106 2022-09-13 11:02:48,234 - mmseg - INFO - Iter [57750/80000] lr: 3.993e-07, eta: 11:57:15, time: 1.888, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7610, decode.loss_mask: 0.7479, decode.loss_dice: 1.1673, decode.d0.loss_cls: 2.5112, decode.d0.loss_mask: 0.7695, decode.d0.loss_dice: 1.3403, decode.d1.loss_cls: 0.8417, decode.d1.loss_mask: 0.7873, decode.d1.loss_dice: 1.2690, decode.d2.loss_cls: 0.7890, decode.d2.loss_mask: 0.7674, decode.d2.loss_dice: 1.2164, decode.d3.loss_cls: 0.7883, decode.d3.loss_mask: 0.7538, decode.d3.loss_dice: 1.1910, decode.d4.loss_cls: 0.7787, decode.d4.loss_mask: 0.7548, decode.d4.loss_dice: 1.1868, decode.d5.loss_cls: 0.7683, decode.d5.loss_mask: 0.7563, decode.d5.loss_dice: 1.1806, decode.d6.loss_cls: 0.7668, decode.d6.loss_mask: 0.7459, decode.d6.loss_dice: 1.1705, decode.d7.loss_cls: 0.7623, decode.d7.loss_mask: 0.7503, decode.d7.loss_dice: 1.1673, decode.d8.loss_cls: 0.7596, decode.d8.loss_mask: 0.7481, decode.d8.loss_dice: 1.1714, loss: 29.1685 2022-09-13 11:04:20,237 - mmseg - INFO - Iter [57800/80000] lr: 3.985e-07, eta: 11:55:37, time: 1.840, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7628, decode.loss_mask: 0.7452, decode.loss_dice: 1.1847, decode.d0.loss_cls: 2.5134, decode.d0.loss_mask: 0.7711, decode.d0.loss_dice: 1.3752, decode.d1.loss_cls: 0.8566, decode.d1.loss_mask: 0.7817, decode.d1.loss_dice: 1.2826, decode.d2.loss_cls: 0.7942, decode.d2.loss_mask: 0.7666, decode.d2.loss_dice: 1.2319, decode.d3.loss_cls: 0.7845, decode.d3.loss_mask: 0.7555, decode.d3.loss_dice: 1.2113, decode.d4.loss_cls: 0.7722, decode.d4.loss_mask: 0.7569, decode.d4.loss_dice: 1.2071, decode.d5.loss_cls: 0.7704, decode.d5.loss_mask: 0.7508, decode.d5.loss_dice: 1.2034, decode.d6.loss_cls: 0.7671, decode.d6.loss_mask: 0.7504, decode.d6.loss_dice: 1.1861, decode.d7.loss_cls: 0.7629, decode.d7.loss_mask: 0.7488, decode.d7.loss_dice: 1.1927, decode.d8.loss_cls: 0.7666, decode.d8.loss_mask: 0.7459, decode.d8.loss_dice: 1.1917, loss: 29.3904 2022-09-13 11:05:53,512 - mmseg - INFO - Iter [57850/80000] lr: 3.976e-07, eta: 11:53:59, time: 1.866, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7624, decode.loss_mask: 0.7401, decode.loss_dice: 1.1478, decode.d0.loss_cls: 2.4935, decode.d0.loss_mask: 0.7593, decode.d0.loss_dice: 1.3490, decode.d1.loss_cls: 0.8295, decode.d1.loss_mask: 0.7733, decode.d1.loss_dice: 1.2537, decode.d2.loss_cls: 0.7893, decode.d2.loss_mask: 0.7610, decode.d2.loss_dice: 1.2064, decode.d3.loss_cls: 0.7783, decode.d3.loss_mask: 0.7554, decode.d3.loss_dice: 1.1786, decode.d4.loss_cls: 0.7663, decode.d4.loss_mask: 0.7554, decode.d4.loss_dice: 1.1773, decode.d5.loss_cls: 0.7668, decode.d5.loss_mask: 0.7454, decode.d5.loss_dice: 1.1689, decode.d6.loss_cls: 0.7596, decode.d6.loss_mask: 0.7461, decode.d6.loss_dice: 1.1510, decode.d7.loss_cls: 0.7585, decode.d7.loss_mask: 0.7416, decode.d7.loss_dice: 1.1562, decode.d8.loss_cls: 0.7557, decode.d8.loss_mask: 0.7401, decode.d8.loss_dice: 1.1552, loss: 28.9217 2022-09-13 11:07:25,931 - mmseg - INFO - Iter [57900/80000] lr: 3.967e-07, eta: 11:52:21, time: 1.848, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7478, decode.loss_mask: 0.7702, decode.loss_dice: 1.1878, decode.d0.loss_cls: 2.4407, decode.d0.loss_mask: 0.7803, decode.d0.loss_dice: 1.3694, decode.d1.loss_cls: 0.8240, decode.d1.loss_mask: 0.7992, decode.d1.loss_dice: 1.2813, decode.d2.loss_cls: 0.7770, decode.d2.loss_mask: 0.7838, decode.d2.loss_dice: 1.2359, decode.d3.loss_cls: 0.7669, decode.d3.loss_mask: 0.7741, decode.d3.loss_dice: 1.2086, decode.d4.loss_cls: 0.7587, decode.d4.loss_mask: 0.7719, decode.d4.loss_dice: 1.2056, decode.d5.loss_cls: 0.7485, decode.d5.loss_mask: 0.7712, decode.d5.loss_dice: 1.1993, decode.d6.loss_cls: 0.7527, decode.d6.loss_mask: 0.7717, decode.d6.loss_dice: 1.1885, decode.d7.loss_cls: 0.7510, decode.d7.loss_mask: 0.7705, decode.d7.loss_dice: 1.1958, decode.d8.loss_cls: 0.7549, decode.d8.loss_mask: 0.7689, decode.d8.loss_dice: 1.1933, loss: 29.3496 2022-09-13 11:08:59,085 - mmseg - INFO - Iter [57950/80000] lr: 3.958e-07, eta: 11:50:43, time: 1.863, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7536, decode.loss_mask: 0.7575, decode.loss_dice: 1.1701, decode.d0.loss_cls: 2.4901, decode.d0.loss_mask: 0.7763, decode.d0.loss_dice: 1.3564, decode.d1.loss_cls: 0.8357, decode.d1.loss_mask: 0.7926, decode.d1.loss_dice: 1.2653, decode.d2.loss_cls: 0.7752, decode.d2.loss_mask: 0.7810, decode.d2.loss_dice: 1.2165, decode.d3.loss_cls: 0.7697, decode.d3.loss_mask: 0.7648, decode.d3.loss_dice: 1.1840, decode.d4.loss_cls: 0.7621, decode.d4.loss_mask: 0.7652, decode.d4.loss_dice: 1.1857, decode.d5.loss_cls: 0.7536, decode.d5.loss_mask: 0.7642, decode.d5.loss_dice: 1.1769, decode.d6.loss_cls: 0.7553, decode.d6.loss_mask: 0.7609, decode.d6.loss_dice: 1.1664, decode.d7.loss_cls: 0.7524, decode.d7.loss_mask: 0.7599, decode.d7.loss_dice: 1.1723, decode.d8.loss_cls: 0.7606, decode.d8.loss_mask: 0.7552, decode.d8.loss_dice: 1.1671, loss: 29.1467 2022-09-13 11:10:32,249 - mmseg - INFO - Saving checkpoint at 58000 iterations 2022-09-13 11:11:05,302 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 11:11:05,310 - mmseg - INFO - Iter [58000/80000] lr: 3.949e-07, eta: 11:49:17, time: 2.522, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7465, decode.loss_mask: 0.7464, decode.loss_dice: 1.1764, decode.d0.loss_cls: 2.4706, decode.d0.loss_mask: 0.7666, decode.d0.loss_dice: 1.3506, decode.d1.loss_cls: 0.8260, decode.d1.loss_mask: 0.7806, decode.d1.loss_dice: 1.2625, decode.d2.loss_cls: 0.7725, decode.d2.loss_mask: 0.7663, decode.d2.loss_dice: 1.2205, decode.d3.loss_cls: 0.7574, decode.d3.loss_mask: 0.7616, decode.d3.loss_dice: 1.1957, decode.d4.loss_cls: 0.7543, decode.d4.loss_mask: 0.7519, decode.d4.loss_dice: 1.1966, decode.d5.loss_cls: 0.7508, decode.d5.loss_mask: 0.7490, decode.d5.loss_dice: 1.1875, decode.d6.loss_cls: 0.7464, decode.d6.loss_mask: 0.7457, decode.d6.loss_dice: 1.1769, decode.d7.loss_cls: 0.7475, decode.d7.loss_mask: 0.7455, decode.d7.loss_dice: 1.1797, decode.d8.loss_cls: 0.7505, decode.d8.loss_mask: 0.7411, decode.d8.loss_dice: 1.1731, loss: 28.9966 2022-09-13 11:12:41,046 - mmseg - INFO - Iter [58050/80000] lr: 3.940e-07, eta: 11:47:40, time: 1.917, data_time: 0.017, memory: 42763, decode.loss_cls: 0.7416, decode.loss_mask: 0.7377, decode.loss_dice: 1.1547, decode.d0.loss_cls: 2.4485, decode.d0.loss_mask: 0.7552, decode.d0.loss_dice: 1.3422, decode.d1.loss_cls: 0.8171, decode.d1.loss_mask: 0.7761, decode.d1.loss_dice: 1.2523, decode.d2.loss_cls: 0.7682, decode.d2.loss_mask: 0.7561, decode.d2.loss_dice: 1.2092, decode.d3.loss_cls: 0.7597, decode.d3.loss_mask: 0.7508, decode.d3.loss_dice: 1.1775, decode.d4.loss_cls: 0.7512, decode.d4.loss_mask: 0.7478, decode.d4.loss_dice: 1.1824, decode.d5.loss_cls: 0.7456, decode.d5.loss_mask: 0.7443, decode.d5.loss_dice: 1.1701, decode.d6.loss_cls: 0.7374, decode.d6.loss_mask: 0.7410, decode.d6.loss_dice: 1.1592, decode.d7.loss_cls: 0.7357, decode.d7.loss_mask: 0.7399, decode.d7.loss_dice: 1.1599, decode.d8.loss_cls: 0.7418, decode.d8.loss_mask: 0.7374, decode.d8.loss_dice: 1.1529, loss: 28.6934 2022-09-13 11:14:13,482 - mmseg - INFO - Iter [58100/80000] lr: 3.931e-07, eta: 11:46:02, time: 1.849, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7435, decode.loss_mask: 0.7414, decode.loss_dice: 1.1437, decode.d0.loss_cls: 2.4397, decode.d0.loss_mask: 0.7500, decode.d0.loss_dice: 1.3183, decode.d1.loss_cls: 0.8289, decode.d1.loss_mask: 0.7736, decode.d1.loss_dice: 1.2407, decode.d2.loss_cls: 0.7800, decode.d2.loss_mask: 0.7543, decode.d2.loss_dice: 1.1826, decode.d3.loss_cls: 0.7636, decode.d3.loss_mask: 0.7474, decode.d3.loss_dice: 1.1640, decode.d4.loss_cls: 0.7590, decode.d4.loss_mask: 0.7449, decode.d4.loss_dice: 1.1603, decode.d5.loss_cls: 0.7569, decode.d5.loss_mask: 0.7439, decode.d5.loss_dice: 1.1577, decode.d6.loss_cls: 0.7514, decode.d6.loss_mask: 0.7405, decode.d6.loss_dice: 1.1519, decode.d7.loss_cls: 0.7454, decode.d7.loss_mask: 0.7408, decode.d7.loss_dice: 1.1446, decode.d8.loss_cls: 0.7478, decode.d8.loss_mask: 0.7398, decode.d8.loss_dice: 1.1466, loss: 28.6029 2022-09-13 11:15:45,995 - mmseg - INFO - Iter [58150/80000] lr: 3.922e-07, eta: 11:44:23, time: 1.850, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7732, decode.loss_mask: 0.7305, decode.loss_dice: 1.1664, decode.d0.loss_cls: 2.4863, decode.d0.loss_mask: 0.7487, decode.d0.loss_dice: 1.3533, decode.d1.loss_cls: 0.8471, decode.d1.loss_mask: 0.7655, decode.d1.loss_dice: 1.2723, decode.d2.loss_cls: 0.7982, decode.d2.loss_mask: 0.7475, decode.d2.loss_dice: 1.2151, decode.d3.loss_cls: 0.7787, decode.d3.loss_mask: 0.7367, decode.d3.loss_dice: 1.1891, decode.d4.loss_cls: 0.7761, decode.d4.loss_mask: 0.7411, decode.d4.loss_dice: 1.1941, decode.d5.loss_cls: 0.7782, decode.d5.loss_mask: 0.7328, decode.d5.loss_dice: 1.1814, decode.d6.loss_cls: 0.7698, decode.d6.loss_mask: 0.7276, decode.d6.loss_dice: 1.1711, decode.d7.loss_cls: 0.7709, decode.d7.loss_mask: 0.7291, decode.d7.loss_dice: 1.1652, decode.d8.loss_cls: 0.7668, decode.d8.loss_mask: 0.7294, decode.d8.loss_dice: 1.1676, loss: 29.0099 2022-09-13 11:17:19,182 - mmseg - INFO - Iter [58200/80000] lr: 3.913e-07, eta: 11:42:45, time: 1.864, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7625, decode.loss_mask: 0.7529, decode.loss_dice: 1.1573, decode.d0.loss_cls: 2.4436, decode.d0.loss_mask: 0.7736, decode.d0.loss_dice: 1.3330, decode.d1.loss_cls: 0.8378, decode.d1.loss_mask: 0.7885, decode.d1.loss_dice: 1.2447, decode.d2.loss_cls: 0.7901, decode.d2.loss_mask: 0.7726, decode.d2.loss_dice: 1.2068, decode.d3.loss_cls: 0.7740, decode.d3.loss_mask: 0.7665, decode.d3.loss_dice: 1.1899, decode.d4.loss_cls: 0.7745, decode.d4.loss_mask: 0.7588, decode.d4.loss_dice: 1.1826, decode.d5.loss_cls: 0.7698, decode.d5.loss_mask: 0.7523, decode.d5.loss_dice: 1.1722, decode.d6.loss_cls: 0.7638, decode.d6.loss_mask: 0.7508, decode.d6.loss_dice: 1.1638, decode.d7.loss_cls: 0.7623, decode.d7.loss_mask: 0.7563, decode.d7.loss_dice: 1.1656, decode.d8.loss_cls: 0.7563, decode.d8.loss_mask: 0.7562, decode.d8.loss_dice: 1.1679, loss: 29.0469 2022-09-13 11:18:52,534 - mmseg - INFO - Iter [58250/80000] lr: 3.904e-07, eta: 11:41:07, time: 1.867, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7552, decode.loss_mask: 0.7542, decode.loss_dice: 1.1710, decode.d0.loss_cls: 2.4863, decode.d0.loss_mask: 0.7844, decode.d0.loss_dice: 1.3568, decode.d1.loss_cls: 0.8355, decode.d1.loss_mask: 0.7924, decode.d1.loss_dice: 1.2705, decode.d2.loss_cls: 0.7791, decode.d2.loss_mask: 0.7748, decode.d2.loss_dice: 1.2305, decode.d3.loss_cls: 0.7678, decode.d3.loss_mask: 0.7620, decode.d3.loss_dice: 1.1971, decode.d4.loss_cls: 0.7625, decode.d4.loss_mask: 0.7626, decode.d4.loss_dice: 1.1901, decode.d5.loss_cls: 0.7586, decode.d5.loss_mask: 0.7569, decode.d5.loss_dice: 1.1899, decode.d6.loss_cls: 0.7521, decode.d6.loss_mask: 0.7522, decode.d6.loss_dice: 1.1757, decode.d7.loss_cls: 0.7560, decode.d7.loss_mask: 0.7516, decode.d7.loss_dice: 1.1765, decode.d8.loss_cls: 0.7549, decode.d8.loss_mask: 0.7564, decode.d8.loss_dice: 1.1708, loss: 29.1845 2022-09-13 11:20:25,814 - mmseg - INFO - Iter [58300/80000] lr: 3.895e-07, eta: 11:39:29, time: 1.866, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7321, decode.loss_mask: 0.7383, decode.loss_dice: 1.1293, decode.d0.loss_cls: 2.4066, decode.d0.loss_mask: 0.7664, decode.d0.loss_dice: 1.3055, decode.d1.loss_cls: 0.8056, decode.d1.loss_mask: 0.7732, decode.d1.loss_dice: 1.2298, decode.d2.loss_cls: 0.7561, decode.d2.loss_mask: 0.7487, decode.d2.loss_dice: 1.1844, decode.d3.loss_cls: 0.7491, decode.d3.loss_mask: 0.7459, decode.d3.loss_dice: 1.1607, decode.d4.loss_cls: 0.7434, decode.d4.loss_mask: 0.7438, decode.d4.loss_dice: 1.1541, decode.d5.loss_cls: 0.7409, decode.d5.loss_mask: 0.7415, decode.d5.loss_dice: 1.1361, decode.d6.loss_cls: 0.7351, decode.d6.loss_mask: 0.7417, decode.d6.loss_dice: 1.1269, decode.d7.loss_cls: 0.7345, decode.d7.loss_mask: 0.7405, decode.d7.loss_dice: 1.1276, decode.d8.loss_cls: 0.7303, decode.d8.loss_mask: 0.7390, decode.d8.loss_dice: 1.1309, loss: 28.2979 2022-09-13 11:21:58,525 - mmseg - INFO - Iter [58350/80000] lr: 3.886e-07, eta: 11:37:51, time: 1.854, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7591, decode.loss_mask: 0.7538, decode.loss_dice: 1.1737, decode.d0.loss_cls: 2.5460, decode.d0.loss_mask: 0.7650, decode.d0.loss_dice: 1.3592, decode.d1.loss_cls: 0.8601, decode.d1.loss_mask: 0.7817, decode.d1.loss_dice: 1.2673, decode.d2.loss_cls: 0.7998, decode.d2.loss_mask: 0.7634, decode.d2.loss_dice: 1.2217, decode.d3.loss_cls: 0.7808, decode.d3.loss_mask: 0.7574, decode.d3.loss_dice: 1.1918, decode.d4.loss_cls: 0.7778, decode.d4.loss_mask: 0.7559, decode.d4.loss_dice: 1.1936, decode.d5.loss_cls: 0.7737, decode.d5.loss_mask: 0.7554, decode.d5.loss_dice: 1.1807, decode.d6.loss_cls: 0.7662, decode.d6.loss_mask: 0.7473, decode.d6.loss_dice: 1.1715, decode.d7.loss_cls: 0.7636, decode.d7.loss_mask: 0.7459, decode.d7.loss_dice: 1.1704, decode.d8.loss_cls: 0.7646, decode.d8.loss_mask: 0.7511, decode.d8.loss_dice: 1.1717, loss: 29.2700 2022-09-13 11:23:32,058 - mmseg - INFO - Iter [58400/80000] lr: 3.877e-07, eta: 11:36:13, time: 1.871, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7456, decode.loss_mask: 0.7574, decode.loss_dice: 1.1531, decode.d0.loss_cls: 2.4603, decode.d0.loss_mask: 0.7719, decode.d0.loss_dice: 1.3495, decode.d1.loss_cls: 0.8297, decode.d1.loss_mask: 0.7885, decode.d1.loss_dice: 1.2505, decode.d2.loss_cls: 0.7784, decode.d2.loss_mask: 0.7727, decode.d2.loss_dice: 1.2042, decode.d3.loss_cls: 0.7678, decode.d3.loss_mask: 0.7620, decode.d3.loss_dice: 1.1779, decode.d4.loss_cls: 0.7606, decode.d4.loss_mask: 0.7639, decode.d4.loss_dice: 1.1744, decode.d5.loss_cls: 0.7555, decode.d5.loss_mask: 0.7619, decode.d5.loss_dice: 1.1658, decode.d6.loss_cls: 0.7541, decode.d6.loss_mask: 0.7599, decode.d6.loss_dice: 1.1589, decode.d7.loss_cls: 0.7493, decode.d7.loss_mask: 0.7578, decode.d7.loss_dice: 1.1551, decode.d8.loss_cls: 0.7469, decode.d8.loss_mask: 0.7591, decode.d8.loss_dice: 1.1587, loss: 28.9514 2022-09-13 11:25:05,901 - mmseg - INFO - Iter [58450/80000] lr: 3.868e-07, eta: 11:34:36, time: 1.877, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7501, decode.loss_mask: 0.7720, decode.loss_dice: 1.1682, decode.d0.loss_cls: 2.4819, decode.d0.loss_mask: 0.7783, decode.d0.loss_dice: 1.3460, decode.d1.loss_cls: 0.8331, decode.d1.loss_mask: 0.7960, decode.d1.loss_dice: 1.2646, decode.d2.loss_cls: 0.7877, decode.d2.loss_mask: 0.7841, decode.d2.loss_dice: 1.2131, decode.d3.loss_cls: 0.7769, decode.d3.loss_mask: 0.7751, decode.d3.loss_dice: 1.1883, decode.d4.loss_cls: 0.7643, decode.d4.loss_mask: 0.7798, decode.d4.loss_dice: 1.1874, decode.d5.loss_cls: 0.7582, decode.d5.loss_mask: 0.7749, decode.d5.loss_dice: 1.1851, decode.d6.loss_cls: 0.7572, decode.d6.loss_mask: 0.7698, decode.d6.loss_dice: 1.1704, decode.d7.loss_cls: 0.7562, decode.d7.loss_mask: 0.7681, decode.d7.loss_dice: 1.1706, decode.d8.loss_cls: 0.7550, decode.d8.loss_mask: 0.7673, decode.d8.loss_dice: 1.1696, loss: 29.2492 2022-09-13 11:26:39,771 - mmseg - INFO - Iter [58500/80000] lr: 3.859e-07, eta: 11:32:58, time: 1.877, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7586, decode.loss_mask: 0.7480, decode.loss_dice: 1.1737, decode.d0.loss_cls: 2.5043, decode.d0.loss_mask: 0.7681, decode.d0.loss_dice: 1.3615, decode.d1.loss_cls: 0.8391, decode.d1.loss_mask: 0.7789, decode.d1.loss_dice: 1.2734, decode.d2.loss_cls: 0.7878, decode.d2.loss_mask: 0.7680, decode.d2.loss_dice: 1.2182, decode.d3.loss_cls: 0.7748, decode.d3.loss_mask: 0.7562, decode.d3.loss_dice: 1.1988, decode.d4.loss_cls: 0.7659, decode.d4.loss_mask: 0.7517, decode.d4.loss_dice: 1.1918, decode.d5.loss_cls: 0.7593, decode.d5.loss_mask: 0.7517, decode.d5.loss_dice: 1.1831, decode.d6.loss_cls: 0.7624, decode.d6.loss_mask: 0.7509, decode.d6.loss_dice: 1.1756, decode.d7.loss_cls: 0.7555, decode.d7.loss_mask: 0.7534, decode.d7.loss_dice: 1.1729, decode.d8.loss_cls: 0.7526, decode.d8.loss_mask: 0.7491, decode.d8.loss_dice: 1.1699, loss: 29.1552 2022-09-13 11:28:15,079 - mmseg - INFO - Iter [58550/80000] lr: 3.850e-07, eta: 11:31:21, time: 1.906, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7640, decode.loss_mask: 0.7576, decode.loss_dice: 1.1510, decode.d0.loss_cls: 2.4718, decode.d0.loss_mask: 0.7779, decode.d0.loss_dice: 1.3397, decode.d1.loss_cls: 0.8372, decode.d1.loss_mask: 0.7972, decode.d1.loss_dice: 1.2578, decode.d2.loss_cls: 0.7864, decode.d2.loss_mask: 0.7801, decode.d2.loss_dice: 1.2000, decode.d3.loss_cls: 0.7767, decode.d3.loss_mask: 0.7687, decode.d3.loss_dice: 1.1765, decode.d4.loss_cls: 0.7716, decode.d4.loss_mask: 0.7663, decode.d4.loss_dice: 1.1723, decode.d5.loss_cls: 0.7675, decode.d5.loss_mask: 0.7674, decode.d5.loss_dice: 1.1658, decode.d6.loss_cls: 0.7610, decode.d6.loss_mask: 0.7571, decode.d6.loss_dice: 1.1611, decode.d7.loss_cls: 0.7608, decode.d7.loss_mask: 0.7581, decode.d7.loss_dice: 1.1558, decode.d8.loss_cls: 0.7627, decode.d8.loss_mask: 0.7576, decode.d8.loss_dice: 1.1532, loss: 29.0809 2022-09-13 11:29:46,906 - mmseg - INFO - Iter [58600/80000] lr: 3.841e-07, eta: 11:29:42, time: 1.836, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7651, decode.loss_mask: 0.7363, decode.loss_dice: 1.1603, decode.d0.loss_cls: 2.4764, decode.d0.loss_mask: 0.7536, decode.d0.loss_dice: 1.3394, decode.d1.loss_cls: 0.8486, decode.d1.loss_mask: 0.7724, decode.d1.loss_dice: 1.2538, decode.d2.loss_cls: 0.8029, decode.d2.loss_mask: 0.7532, decode.d2.loss_dice: 1.2070, decode.d3.loss_cls: 0.7844, decode.d3.loss_mask: 0.7438, decode.d3.loss_dice: 1.1856, decode.d4.loss_cls: 0.7812, decode.d4.loss_mask: 0.7389, decode.d4.loss_dice: 1.1713, decode.d5.loss_cls: 0.7737, decode.d5.loss_mask: 0.7334, decode.d5.loss_dice: 1.1675, decode.d6.loss_cls: 0.7638, decode.d6.loss_mask: 0.7376, decode.d6.loss_dice: 1.1626, decode.d7.loss_cls: 0.7693, decode.d7.loss_mask: 0.7357, decode.d7.loss_dice: 1.1601, decode.d8.loss_cls: 0.7673, decode.d8.loss_mask: 0.7374, decode.d8.loss_dice: 1.1640, loss: 28.9464 2022-09-13 11:31:19,206 - mmseg - INFO - Iter [58650/80000] lr: 3.832e-07, eta: 11:28:04, time: 1.846, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7533, decode.loss_mask: 0.7383, decode.loss_dice: 1.1269, decode.d0.loss_cls: 2.4649, decode.d0.loss_mask: 0.7616, decode.d0.loss_dice: 1.3190, decode.d1.loss_cls: 0.8303, decode.d1.loss_mask: 0.7691, decode.d1.loss_dice: 1.2150, decode.d2.loss_cls: 0.7799, decode.d2.loss_mask: 0.7545, decode.d2.loss_dice: 1.1744, decode.d3.loss_cls: 0.7697, decode.d3.loss_mask: 0.7454, decode.d3.loss_dice: 1.1455, decode.d4.loss_cls: 0.7681, decode.d4.loss_mask: 0.7436, decode.d4.loss_dice: 1.1430, decode.d5.loss_cls: 0.7576, decode.d5.loss_mask: 0.7460, decode.d5.loss_dice: 1.1398, decode.d6.loss_cls: 0.7449, decode.d6.loss_mask: 0.7427, decode.d6.loss_dice: 1.1285, decode.d7.loss_cls: 0.7489, decode.d7.loss_mask: 0.7430, decode.d7.loss_dice: 1.1261, decode.d8.loss_cls: 0.7475, decode.d8.loss_mask: 0.7405, decode.d8.loss_dice: 1.1266, loss: 28.4941 2022-09-13 11:32:52,731 - mmseg - INFO - Iter [58700/80000] lr: 3.823e-07, eta: 11:26:26, time: 1.871, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7149, decode.loss_mask: 0.7431, decode.loss_dice: 1.1384, decode.d0.loss_cls: 2.4349, decode.d0.loss_mask: 0.7524, decode.d0.loss_dice: 1.3043, decode.d1.loss_cls: 0.7966, decode.d1.loss_mask: 0.7679, decode.d1.loss_dice: 1.2284, decode.d2.loss_cls: 0.7473, decode.d2.loss_mask: 0.7576, decode.d2.loss_dice: 1.1839, decode.d3.loss_cls: 0.7341, decode.d3.loss_mask: 0.7438, decode.d3.loss_dice: 1.1582, decode.d4.loss_cls: 0.7309, decode.d4.loss_mask: 0.7441, decode.d4.loss_dice: 1.1561, decode.d5.loss_cls: 0.7233, decode.d5.loss_mask: 0.7490, decode.d5.loss_dice: 1.1463, decode.d6.loss_cls: 0.7224, decode.d6.loss_mask: 0.7424, decode.d6.loss_dice: 1.1401, decode.d7.loss_cls: 0.7186, decode.d7.loss_mask: 0.7396, decode.d7.loss_dice: 1.1411, decode.d8.loss_cls: 0.7210, decode.d8.loss_mask: 0.7435, decode.d8.loss_dice: 1.1462, loss: 28.2703 2022-09-13 11:34:25,528 - mmseg - INFO - Iter [58750/80000] lr: 3.814e-07, eta: 11:24:48, time: 1.856, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7310, decode.loss_mask: 0.7716, decode.loss_dice: 1.1589, decode.d0.loss_cls: 2.4428, decode.d0.loss_mask: 0.7920, decode.d0.loss_dice: 1.3356, decode.d1.loss_cls: 0.8034, decode.d1.loss_mask: 0.8037, decode.d1.loss_dice: 1.2401, decode.d2.loss_cls: 0.7528, decode.d2.loss_mask: 0.7929, decode.d2.loss_dice: 1.2045, decode.d3.loss_cls: 0.7494, decode.d3.loss_mask: 0.7887, decode.d3.loss_dice: 1.1796, decode.d4.loss_cls: 0.7393, decode.d4.loss_mask: 0.7855, decode.d4.loss_dice: 1.1713, decode.d5.loss_cls: 0.7344, decode.d5.loss_mask: 0.7799, decode.d5.loss_dice: 1.1658, decode.d6.loss_cls: 0.7258, decode.d6.loss_mask: 0.7808, decode.d6.loss_dice: 1.1601, decode.d7.loss_cls: 0.7294, decode.d7.loss_mask: 0.7788, decode.d7.loss_dice: 1.1613, decode.d8.loss_cls: 0.7252, decode.d8.loss_mask: 0.7751, decode.d8.loss_dice: 1.1564, loss: 28.9162 2022-09-13 11:35:59,201 - mmseg - INFO - Iter [58800/80000] lr: 3.805e-07, eta: 11:23:10, time: 1.873, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7490, decode.loss_mask: 0.7557, decode.loss_dice: 1.1554, decode.d0.loss_cls: 2.4639, decode.d0.loss_mask: 0.7835, decode.d0.loss_dice: 1.3428, decode.d1.loss_cls: 0.8152, decode.d1.loss_mask: 0.7932, decode.d1.loss_dice: 1.2572, decode.d2.loss_cls: 0.7799, decode.d2.loss_mask: 0.7724, decode.d2.loss_dice: 1.2013, decode.d3.loss_cls: 0.7611, decode.d3.loss_mask: 0.7642, decode.d3.loss_dice: 1.1786, decode.d4.loss_cls: 0.7595, decode.d4.loss_mask: 0.7589, decode.d4.loss_dice: 1.1781, decode.d5.loss_cls: 0.7553, decode.d5.loss_mask: 0.7557, decode.d5.loss_dice: 1.1682, decode.d6.loss_cls: 0.7505, decode.d6.loss_mask: 0.7518, decode.d6.loss_dice: 1.1568, decode.d7.loss_cls: 0.7464, decode.d7.loss_mask: 0.7550, decode.d7.loss_dice: 1.1534, decode.d8.loss_cls: 0.7397, decode.d8.loss_mask: 0.7544, decode.d8.loss_dice: 1.1593, loss: 28.9164 2022-09-13 11:37:31,759 - mmseg - INFO - Iter [58850/80000] lr: 3.796e-07, eta: 11:21:32, time: 1.851, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7338, decode.loss_mask: 0.7471, decode.loss_dice: 1.1612, decode.d0.loss_cls: 2.4771, decode.d0.loss_mask: 0.7594, decode.d0.loss_dice: 1.3502, decode.d1.loss_cls: 0.8031, decode.d1.loss_mask: 0.7799, decode.d1.loss_dice: 1.2694, decode.d2.loss_cls: 0.7610, decode.d2.loss_mask: 0.7634, decode.d2.loss_dice: 1.2137, decode.d3.loss_cls: 0.7503, decode.d3.loss_mask: 0.7510, decode.d3.loss_dice: 1.1846, decode.d4.loss_cls: 0.7422, decode.d4.loss_mask: 0.7478, decode.d4.loss_dice: 1.1809, decode.d5.loss_cls: 0.7348, decode.d5.loss_mask: 0.7483, decode.d5.loss_dice: 1.1826, decode.d6.loss_cls: 0.7325, decode.d6.loss_mask: 0.7453, decode.d6.loss_dice: 1.1631, decode.d7.loss_cls: 0.7279, decode.d7.loss_mask: 0.7435, decode.d7.loss_dice: 1.1667, decode.d8.loss_cls: 0.7328, decode.d8.loss_mask: 0.7456, decode.d8.loss_dice: 1.1723, loss: 28.7714 2022-09-13 11:39:12,020 - mmseg - INFO - Iter [58900/80000] lr: 3.787e-07, eta: 11:19:57, time: 2.005, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7330, decode.loss_mask: 0.7436, decode.loss_dice: 1.1641, decode.d0.loss_cls: 2.4398, decode.d0.loss_mask: 0.7677, decode.d0.loss_dice: 1.3394, decode.d1.loss_cls: 0.8027, decode.d1.loss_mask: 0.7767, decode.d1.loss_dice: 1.2588, decode.d2.loss_cls: 0.7589, decode.d2.loss_mask: 0.7636, decode.d2.loss_dice: 1.2088, decode.d3.loss_cls: 0.7444, decode.d3.loss_mask: 0.7561, decode.d3.loss_dice: 1.1880, decode.d4.loss_cls: 0.7424, decode.d4.loss_mask: 0.7578, decode.d4.loss_dice: 1.1881, decode.d5.loss_cls: 0.7350, decode.d5.loss_mask: 0.7531, decode.d5.loss_dice: 1.1801, decode.d6.loss_cls: 0.7353, decode.d6.loss_mask: 0.7491, decode.d6.loss_dice: 1.1658, decode.d7.loss_cls: 0.7330, decode.d7.loss_mask: 0.7505, decode.d7.loss_dice: 1.1676, decode.d8.loss_cls: 0.7342, decode.d8.loss_mask: 0.7446, decode.d8.loss_dice: 1.1682, loss: 28.7503 2022-09-13 11:40:45,273 - mmseg - INFO - Iter [58950/80000] lr: 3.778e-07, eta: 11:18:19, time: 1.865, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7236, decode.loss_mask: 0.7330, decode.loss_dice: 1.1459, decode.d0.loss_cls: 2.4557, decode.d0.loss_mask: 0.7558, decode.d0.loss_dice: 1.3272, decode.d1.loss_cls: 0.8047, decode.d1.loss_mask: 0.7640, decode.d1.loss_dice: 1.2416, decode.d2.loss_cls: 0.7429, decode.d2.loss_mask: 0.7486, decode.d2.loss_dice: 1.1900, decode.d3.loss_cls: 0.7389, decode.d3.loss_mask: 0.7397, decode.d3.loss_dice: 1.1702, decode.d4.loss_cls: 0.7320, decode.d4.loss_mask: 0.7373, decode.d4.loss_dice: 1.1660, decode.d5.loss_cls: 0.7257, decode.d5.loss_mask: 0.7332, decode.d5.loss_dice: 1.1546, decode.d6.loss_cls: 0.7276, decode.d6.loss_mask: 0.7325, decode.d6.loss_dice: 1.1433, decode.d7.loss_cls: 0.7249, decode.d7.loss_mask: 0.7352, decode.d7.loss_dice: 1.1433, decode.d8.loss_cls: 0.7202, decode.d8.loss_mask: 0.7352, decode.d8.loss_dice: 1.1475, loss: 28.3402 2022-09-13 11:42:18,319 - mmseg - INFO - Saving checkpoint at 59000 iterations 2022-09-13 11:42:51,390 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 11:42:51,394 - mmseg - INFO - Iter [59000/80000] lr: 3.769e-07, eta: 11:16:52, time: 2.520, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7406, decode.loss_mask: 0.7319, decode.loss_dice: 1.1572, decode.d0.loss_cls: 2.4498, decode.d0.loss_mask: 0.7661, decode.d0.loss_dice: 1.3444, decode.d1.loss_cls: 0.8283, decode.d1.loss_mask: 0.7657, decode.d1.loss_dice: 1.2498, decode.d2.loss_cls: 0.7633, decode.d2.loss_mask: 0.7518, decode.d2.loss_dice: 1.2047, decode.d3.loss_cls: 0.7523, decode.d3.loss_mask: 0.7474, decode.d3.loss_dice: 1.1842, decode.d4.loss_cls: 0.7373, decode.d4.loss_mask: 0.7427, decode.d4.loss_dice: 1.1721, decode.d5.loss_cls: 0.7336, decode.d5.loss_mask: 0.7403, decode.d5.loss_dice: 1.1703, decode.d6.loss_cls: 0.7343, decode.d6.loss_mask: 0.7417, decode.d6.loss_dice: 1.1579, decode.d7.loss_cls: 0.7307, decode.d7.loss_mask: 0.7381, decode.d7.loss_dice: 1.1613, decode.d8.loss_cls: 0.7346, decode.d8.loss_mask: 0.7348, decode.d8.loss_dice: 1.1589, loss: 28.6259 2022-09-13 11:44:24,852 - mmseg - INFO - Iter [59050/80000] lr: 3.760e-07, eta: 11:15:15, time: 1.869, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7222, decode.loss_mask: 0.7651, decode.loss_dice: 1.1303, decode.d0.loss_cls: 2.3936, decode.d0.loss_mask: 0.7812, decode.d0.loss_dice: 1.3010, decode.d1.loss_cls: 0.8032, decode.d1.loss_mask: 0.8038, decode.d1.loss_dice: 1.2072, decode.d2.loss_cls: 0.7536, decode.d2.loss_mask: 0.7840, decode.d2.loss_dice: 1.1643, decode.d3.loss_cls: 0.7400, decode.d3.loss_mask: 0.7785, decode.d3.loss_dice: 1.1477, decode.d4.loss_cls: 0.7334, decode.d4.loss_mask: 0.7723, decode.d4.loss_dice: 1.1437, decode.d5.loss_cls: 0.7281, decode.d5.loss_mask: 0.7666, decode.d5.loss_dice: 1.1384, decode.d6.loss_cls: 0.7211, decode.d6.loss_mask: 0.7675, decode.d6.loss_dice: 1.1254, decode.d7.loss_cls: 0.7298, decode.d7.loss_mask: 0.7614, decode.d7.loss_dice: 1.1262, decode.d8.loss_cls: 0.7217, decode.d8.loss_mask: 0.7622, decode.d8.loss_dice: 1.1259, loss: 28.3992 2022-09-13 11:45:58,488 - mmseg - INFO - Iter [59100/80000] lr: 3.751e-07, eta: 11:13:37, time: 1.875, data_time: 0.017, memory: 42763, decode.loss_cls: 0.7283, decode.loss_mask: 0.7461, decode.loss_dice: 1.1305, decode.d0.loss_cls: 2.4273, decode.d0.loss_mask: 0.7664, decode.d0.loss_dice: 1.3116, decode.d1.loss_cls: 0.8082, decode.d1.loss_mask: 0.7798, decode.d1.loss_dice: 1.2341, decode.d2.loss_cls: 0.7597, decode.d2.loss_mask: 0.7578, decode.d2.loss_dice: 1.1804, decode.d3.loss_cls: 0.7466, decode.d3.loss_mask: 0.7527, decode.d3.loss_dice: 1.1611, decode.d4.loss_cls: 0.7477, decode.d4.loss_mask: 0.7487, decode.d4.loss_dice: 1.1423, decode.d5.loss_cls: 0.7356, decode.d5.loss_mask: 0.7522, decode.d5.loss_dice: 1.1447, decode.d6.loss_cls: 0.7352, decode.d6.loss_mask: 0.7436, decode.d6.loss_dice: 1.1417, decode.d7.loss_cls: 0.7368, decode.d7.loss_mask: 0.7476, decode.d7.loss_dice: 1.1400, decode.d8.loss_cls: 0.7355, decode.d8.loss_mask: 0.7462, decode.d8.loss_dice: 1.1333, loss: 28.4217 2022-09-13 11:47:33,905 - mmseg - INFO - Iter [59150/80000] lr: 3.742e-07, eta: 11:12:00, time: 1.908, data_time: 0.060, memory: 42763, decode.loss_cls: 0.7522, decode.loss_mask: 0.7541, decode.loss_dice: 1.1591, decode.d0.loss_cls: 2.4612, decode.d0.loss_mask: 0.7809, decode.d0.loss_dice: 1.3452, decode.d1.loss_cls: 0.8356, decode.d1.loss_mask: 0.7899, decode.d1.loss_dice: 1.2588, decode.d2.loss_cls: 0.7915, decode.d2.loss_mask: 0.7682, decode.d2.loss_dice: 1.1993, decode.d3.loss_cls: 0.7758, decode.d3.loss_mask: 0.7615, decode.d3.loss_dice: 1.1775, decode.d4.loss_cls: 0.7653, decode.d4.loss_mask: 0.7635, decode.d4.loss_dice: 1.1761, decode.d5.loss_cls: 0.7596, decode.d5.loss_mask: 0.7590, decode.d5.loss_dice: 1.1720, decode.d6.loss_cls: 0.7468, decode.d6.loss_mask: 0.7630, decode.d6.loss_dice: 1.1635, decode.d7.loss_cls: 0.7520, decode.d7.loss_mask: 0.7594, decode.d7.loss_dice: 1.1635, decode.d8.loss_cls: 0.7533, decode.d8.loss_mask: 0.7537, decode.d8.loss_dice: 1.1592, loss: 29.0206 2022-09-13 11:49:08,079 - mmseg - INFO - Iter [59200/80000] lr: 3.733e-07, eta: 11:10:22, time: 1.883, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7110, decode.loss_mask: 0.7580, decode.loss_dice: 1.1285, decode.d0.loss_cls: 2.4067, decode.d0.loss_mask: 0.7742, decode.d0.loss_dice: 1.3166, decode.d1.loss_cls: 0.7872, decode.d1.loss_mask: 0.7900, decode.d1.loss_dice: 1.2310, decode.d2.loss_cls: 0.7372, decode.d2.loss_mask: 0.7774, decode.d2.loss_dice: 1.1769, decode.d3.loss_cls: 0.7279, decode.d3.loss_mask: 0.7736, decode.d3.loss_dice: 1.1479, decode.d4.loss_cls: 0.7249, decode.d4.loss_mask: 0.7619, decode.d4.loss_dice: 1.1427, decode.d5.loss_cls: 0.7180, decode.d5.loss_mask: 0.7617, decode.d5.loss_dice: 1.1399, decode.d6.loss_cls: 0.7051, decode.d6.loss_mask: 0.7621, decode.d6.loss_dice: 1.1354, decode.d7.loss_cls: 0.7069, decode.d7.loss_mask: 0.7592, decode.d7.loss_dice: 1.1295, decode.d8.loss_cls: 0.7079, decode.d8.loss_mask: 0.7591, decode.d8.loss_dice: 1.1336, loss: 28.2918 2022-09-13 11:50:41,197 - mmseg - INFO - Iter [59250/80000] lr: 3.724e-07, eta: 11:08:44, time: 1.862, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7555, decode.loss_mask: 0.7372, decode.loss_dice: 1.1368, decode.d0.loss_cls: 2.4493, decode.d0.loss_mask: 0.7504, decode.d0.loss_dice: 1.3238, decode.d1.loss_cls: 0.8337, decode.d1.loss_mask: 0.7645, decode.d1.loss_dice: 1.2300, decode.d2.loss_cls: 0.7770, decode.d2.loss_mask: 0.7525, decode.d2.loss_dice: 1.1862, decode.d3.loss_cls: 0.7658, decode.d3.loss_mask: 0.7455, decode.d3.loss_dice: 1.1600, decode.d4.loss_cls: 0.7595, decode.d4.loss_mask: 0.7399, decode.d4.loss_dice: 1.1552, decode.d5.loss_cls: 0.7521, decode.d5.loss_mask: 0.7387, decode.d5.loss_dice: 1.1485, decode.d6.loss_cls: 0.7511, decode.d6.loss_mask: 0.7355, decode.d6.loss_dice: 1.1418, decode.d7.loss_cls: 0.7557, decode.d7.loss_mask: 0.7352, decode.d7.loss_dice: 1.1362, decode.d8.loss_cls: 0.7517, decode.d8.loss_mask: 0.7353, decode.d8.loss_dice: 1.1367, loss: 28.5412 2022-09-13 11:52:14,016 - mmseg - INFO - Iter [59300/80000] lr: 3.715e-07, eta: 11:07:06, time: 1.856, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7225, decode.loss_mask: 0.7500, decode.loss_dice: 1.1459, decode.d0.loss_cls: 2.4573, decode.d0.loss_mask: 0.7630, decode.d0.loss_dice: 1.3294, decode.d1.loss_cls: 0.8058, decode.d1.loss_mask: 0.7826, decode.d1.loss_dice: 1.2450, decode.d2.loss_cls: 0.7608, decode.d2.loss_mask: 0.7621, decode.d2.loss_dice: 1.1939, decode.d3.loss_cls: 0.7480, decode.d3.loss_mask: 0.7576, decode.d3.loss_dice: 1.1713, decode.d4.loss_cls: 0.7444, decode.d4.loss_mask: 0.7523, decode.d4.loss_dice: 1.1581, decode.d5.loss_cls: 0.7356, decode.d5.loss_mask: 0.7536, decode.d5.loss_dice: 1.1578, decode.d6.loss_cls: 0.7311, decode.d6.loss_mask: 0.7512, decode.d6.loss_dice: 1.1484, decode.d7.loss_cls: 0.7309, decode.d7.loss_mask: 0.7477, decode.d7.loss_dice: 1.1442, decode.d8.loss_cls: 0.7283, decode.d8.loss_mask: 0.7479, decode.d8.loss_dice: 1.1435, loss: 28.5701 2022-09-13 11:53:47,390 - mmseg - INFO - Iter [59350/80000] lr: 3.706e-07, eta: 11:05:28, time: 1.867, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7446, decode.loss_mask: 0.7510, decode.loss_dice: 1.1309, decode.d0.loss_cls: 2.4279, decode.d0.loss_mask: 0.7691, decode.d0.loss_dice: 1.3183, decode.d1.loss_cls: 0.8314, decode.d1.loss_mask: 0.7774, decode.d1.loss_dice: 1.2311, decode.d2.loss_cls: 0.7830, decode.d2.loss_mask: 0.7646, decode.d2.loss_dice: 1.1754, decode.d3.loss_cls: 0.7732, decode.d3.loss_mask: 0.7556, decode.d3.loss_dice: 1.1495, decode.d4.loss_cls: 0.7681, decode.d4.loss_mask: 0.7560, decode.d4.loss_dice: 1.1443, decode.d5.loss_cls: 0.7561, decode.d5.loss_mask: 0.7552, decode.d5.loss_dice: 1.1446, decode.d6.loss_cls: 0.7531, decode.d6.loss_mask: 0.7543, decode.d6.loss_dice: 1.1289, decode.d7.loss_cls: 0.7471, decode.d7.loss_mask: 0.7557, decode.d7.loss_dice: 1.1326, decode.d8.loss_cls: 0.7437, decode.d8.loss_mask: 0.7543, decode.d8.loss_dice: 1.1320, loss: 28.6091 2022-09-13 11:55:19,374 - mmseg - INFO - Iter [59400/80000] lr: 3.697e-07, eta: 11:03:50, time: 1.841, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7506, decode.loss_mask: 0.7500, decode.loss_dice: 1.1751, decode.d0.loss_cls: 2.5100, decode.d0.loss_mask: 0.7742, decode.d0.loss_dice: 1.3704, decode.d1.loss_cls: 0.8440, decode.d1.loss_mask: 0.7782, decode.d1.loss_dice: 1.2714, decode.d2.loss_cls: 0.7847, decode.d2.loss_mask: 0.7668, decode.d2.loss_dice: 1.2223, decode.d3.loss_cls: 0.7661, decode.d3.loss_mask: 0.7626, decode.d3.loss_dice: 1.1944, decode.d4.loss_cls: 0.7592, decode.d4.loss_mask: 0.7580, decode.d4.loss_dice: 1.1939, decode.d5.loss_cls: 0.7565, decode.d5.loss_mask: 0.7565, decode.d5.loss_dice: 1.1860, decode.d6.loss_cls: 0.7544, decode.d6.loss_mask: 0.7513, decode.d6.loss_dice: 1.1714, decode.d7.loss_cls: 0.7472, decode.d7.loss_mask: 0.7514, decode.d7.loss_dice: 1.1787, decode.d8.loss_cls: 0.7495, decode.d8.loss_mask: 0.7492, decode.d8.loss_dice: 1.1762, loss: 29.1603 2022-09-13 11:56:51,372 - mmseg - INFO - Iter [59450/80000] lr: 3.688e-07, eta: 11:02:12, time: 1.840, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7581, decode.loss_mask: 0.7733, decode.loss_dice: 1.1862, decode.d0.loss_cls: 2.4461, decode.d0.loss_mask: 0.7885, decode.d0.loss_dice: 1.3793, decode.d1.loss_cls: 0.8375, decode.d1.loss_mask: 0.8065, decode.d1.loss_dice: 1.2808, decode.d2.loss_cls: 0.7805, decode.d2.loss_mask: 0.7879, decode.d2.loss_dice: 1.2317, decode.d3.loss_cls: 0.7738, decode.d3.loss_mask: 0.7773, decode.d3.loss_dice: 1.2104, decode.d4.loss_cls: 0.7736, decode.d4.loss_mask: 0.7767, decode.d4.loss_dice: 1.2017, decode.d5.loss_cls: 0.7589, decode.d5.loss_mask: 0.7783, decode.d5.loss_dice: 1.1961, decode.d6.loss_cls: 0.7594, decode.d6.loss_mask: 0.7738, decode.d6.loss_dice: 1.1894, decode.d7.loss_cls: 0.7562, decode.d7.loss_mask: 0.7792, decode.d7.loss_dice: 1.1912, decode.d8.loss_cls: 0.7536, decode.d8.loss_mask: 0.7794, decode.d8.loss_dice: 1.1862, loss: 29.4715 2022-09-13 11:58:24,284 - mmseg - INFO - Iter [59500/80000] lr: 3.679e-07, eta: 11:00:34, time: 1.858, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7716, decode.loss_mask: 0.7346, decode.loss_dice: 1.1754, decode.d0.loss_cls: 2.5409, decode.d0.loss_mask: 0.7709, decode.d0.loss_dice: 1.3750, decode.d1.loss_cls: 0.8584, decode.d1.loss_mask: 0.7773, decode.d1.loss_dice: 1.2737, decode.d2.loss_cls: 0.8095, decode.d2.loss_mask: 0.7528, decode.d2.loss_dice: 1.2173, decode.d3.loss_cls: 0.7912, decode.d3.loss_mask: 0.7429, decode.d3.loss_dice: 1.2019, decode.d4.loss_cls: 0.7870, decode.d4.loss_mask: 0.7476, decode.d4.loss_dice: 1.1963, decode.d5.loss_cls: 0.7837, decode.d5.loss_mask: 0.7408, decode.d5.loss_dice: 1.1838, decode.d6.loss_cls: 0.7820, decode.d6.loss_mask: 0.7383, decode.d6.loss_dice: 1.1766, decode.d7.loss_cls: 0.7710, decode.d7.loss_mask: 0.7388, decode.d7.loss_dice: 1.1808, decode.d8.loss_cls: 0.7737, decode.d8.loss_mask: 0.7354, decode.d8.loss_dice: 1.1787, loss: 29.3080 2022-09-13 11:59:56,129 - mmseg - INFO - Iter [59550/80000] lr: 3.670e-07, eta: 10:58:55, time: 1.837, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7333, decode.loss_mask: 0.7466, decode.loss_dice: 1.1455, decode.d0.loss_cls: 2.5084, decode.d0.loss_mask: 0.7596, decode.d0.loss_dice: 1.3285, decode.d1.loss_cls: 0.8156, decode.d1.loss_mask: 0.7851, decode.d1.loss_dice: 1.2467, decode.d2.loss_cls: 0.7664, decode.d2.loss_mask: 0.7633, decode.d2.loss_dice: 1.1952, decode.d3.loss_cls: 0.7520, decode.d3.loss_mask: 0.7576, decode.d3.loss_dice: 1.1798, decode.d4.loss_cls: 0.7455, decode.d4.loss_mask: 0.7599, decode.d4.loss_dice: 1.1738, decode.d5.loss_cls: 0.7326, decode.d5.loss_mask: 0.7562, decode.d5.loss_dice: 1.1643, decode.d6.loss_cls: 0.7371, decode.d6.loss_mask: 0.7508, decode.d6.loss_dice: 1.1510, decode.d7.loss_cls: 0.7371, decode.d7.loss_mask: 0.7490, decode.d7.loss_dice: 1.1525, decode.d8.loss_cls: 0.7328, decode.d8.loss_mask: 0.7495, decode.d8.loss_dice: 1.1541, loss: 28.7298 2022-09-13 12:01:31,763 - mmseg - INFO - Iter [59600/80000] lr: 3.661e-07, eta: 10:57:18, time: 1.913, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7271, decode.loss_mask: 0.7508, decode.loss_dice: 1.1091, decode.d0.loss_cls: 2.4476, decode.d0.loss_mask: 0.7653, decode.d0.loss_dice: 1.2891, decode.d1.loss_cls: 0.8115, decode.d1.loss_mask: 0.7754, decode.d1.loss_dice: 1.2028, decode.d2.loss_cls: 0.7603, decode.d2.loss_mask: 0.7622, decode.d2.loss_dice: 1.1531, decode.d3.loss_cls: 0.7487, decode.d3.loss_mask: 0.7573, decode.d3.loss_dice: 1.1327, decode.d4.loss_cls: 0.7417, decode.d4.loss_mask: 0.7539, decode.d4.loss_dice: 1.1311, decode.d5.loss_cls: 0.7383, decode.d5.loss_mask: 0.7542, decode.d5.loss_dice: 1.1213, decode.d6.loss_cls: 0.7374, decode.d6.loss_mask: 0.7494, decode.d6.loss_dice: 1.1143, decode.d7.loss_cls: 0.7334, decode.d7.loss_mask: 0.7466, decode.d7.loss_dice: 1.1016, decode.d8.loss_cls: 0.7282, decode.d8.loss_mask: 0.7478, decode.d8.loss_dice: 1.1086, loss: 28.2008 2022-09-13 12:03:04,339 - mmseg - INFO - Iter [59650/80000] lr: 3.652e-07, eta: 10:55:40, time: 1.852, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7494, decode.loss_mask: 0.7337, decode.loss_dice: 1.1499, decode.d0.loss_cls: 2.4899, decode.d0.loss_mask: 0.7572, decode.d0.loss_dice: 1.3413, decode.d1.loss_cls: 0.8261, decode.d1.loss_mask: 0.7703, decode.d1.loss_dice: 1.2445, decode.d2.loss_cls: 0.7790, decode.d2.loss_mask: 0.7499, decode.d2.loss_dice: 1.1910, decode.d3.loss_cls: 0.7627, decode.d3.loss_mask: 0.7428, decode.d3.loss_dice: 1.1683, decode.d4.loss_cls: 0.7601, decode.d4.loss_mask: 0.7416, decode.d4.loss_dice: 1.1647, decode.d5.loss_cls: 0.7475, decode.d5.loss_mask: 0.7397, decode.d5.loss_dice: 1.1617, decode.d6.loss_cls: 0.7455, decode.d6.loss_mask: 0.7381, decode.d6.loss_dice: 1.1506, decode.d7.loss_cls: 0.7474, decode.d7.loss_mask: 0.7374, decode.d7.loss_dice: 1.1547, decode.d8.loss_cls: 0.7453, decode.d8.loss_mask: 0.7348, decode.d8.loss_dice: 1.1502, loss: 28.6751 2022-09-13 12:04:37,527 - mmseg - INFO - Iter [59700/80000] lr: 3.644e-07, eta: 10:54:03, time: 1.864, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7279, decode.loss_mask: 0.7510, decode.loss_dice: 1.1508, decode.d0.loss_cls: 2.4387, decode.d0.loss_mask: 0.7718, decode.d0.loss_dice: 1.3238, decode.d1.loss_cls: 0.8187, decode.d1.loss_mask: 0.7829, decode.d1.loss_dice: 1.2309, decode.d2.loss_cls: 0.7584, decode.d2.loss_mask: 0.7657, decode.d2.loss_dice: 1.1893, decode.d3.loss_cls: 0.7509, decode.d3.loss_mask: 0.7587, decode.d3.loss_dice: 1.1661, decode.d4.loss_cls: 0.7404, decode.d4.loss_mask: 0.7565, decode.d4.loss_dice: 1.1685, decode.d5.loss_cls: 0.7330, decode.d5.loss_mask: 0.7568, decode.d5.loss_dice: 1.1636, decode.d6.loss_cls: 0.7334, decode.d6.loss_mask: 0.7482, decode.d6.loss_dice: 1.1527, decode.d7.loss_cls: 0.7281, decode.d7.loss_mask: 0.7505, decode.d7.loss_dice: 1.1560, decode.d8.loss_cls: 0.7241, decode.d8.loss_mask: 0.7500, decode.d8.loss_dice: 1.1524, loss: 28.5999 2022-09-13 12:06:10,170 - mmseg - INFO - Iter [59750/80000] lr: 3.635e-07, eta: 10:52:25, time: 1.853, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7278, decode.loss_mask: 0.7172, decode.loss_dice: 1.1099, decode.d0.loss_cls: 2.4308, decode.d0.loss_mask: 0.7551, decode.d0.loss_dice: 1.3059, decode.d1.loss_cls: 0.8087, decode.d1.loss_mask: 0.7600, decode.d1.loss_dice: 1.2193, decode.d2.loss_cls: 0.7603, decode.d2.loss_mask: 0.7438, decode.d2.loss_dice: 1.1620, decode.d3.loss_cls: 0.7430, decode.d3.loss_mask: 0.7316, decode.d3.loss_dice: 1.1385, decode.d4.loss_cls: 0.7389, decode.d4.loss_mask: 0.7310, decode.d4.loss_dice: 1.1331, decode.d5.loss_cls: 0.7323, decode.d5.loss_mask: 0.7305, decode.d5.loss_dice: 1.1244, decode.d6.loss_cls: 0.7272, decode.d6.loss_mask: 0.7219, decode.d6.loss_dice: 1.1178, decode.d7.loss_cls: 0.7285, decode.d7.loss_mask: 0.7213, decode.d7.loss_dice: 1.1168, decode.d8.loss_cls: 0.7242, decode.d8.loss_mask: 0.7243, decode.d8.loss_dice: 1.1135, loss: 27.9998 2022-09-13 12:07:43,181 - mmseg - INFO - Iter [59800/80000] lr: 3.626e-07, eta: 10:50:47, time: 1.860, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7837, decode.loss_mask: 0.7478, decode.loss_dice: 1.1888, decode.d0.loss_cls: 2.4992, decode.d0.loss_mask: 0.7659, decode.d0.loss_dice: 1.3722, decode.d1.loss_cls: 0.8614, decode.d1.loss_mask: 0.7859, decode.d1.loss_dice: 1.2817, decode.d2.loss_cls: 0.8126, decode.d2.loss_mask: 0.7668, decode.d2.loss_dice: 1.2337, decode.d3.loss_cls: 0.8033, decode.d3.loss_mask: 0.7623, decode.d3.loss_dice: 1.2074, decode.d4.loss_cls: 0.8016, decode.d4.loss_mask: 0.7549, decode.d4.loss_dice: 1.2042, decode.d5.loss_cls: 0.7887, decode.d5.loss_mask: 0.7553, decode.d5.loss_dice: 1.1944, decode.d6.loss_cls: 0.7861, decode.d6.loss_mask: 0.7491, decode.d6.loss_dice: 1.1898, decode.d7.loss_cls: 0.7908, decode.d7.loss_mask: 0.7480, decode.d7.loss_dice: 1.1821, decode.d8.loss_cls: 0.7804, decode.d8.loss_mask: 0.7448, decode.d8.loss_dice: 1.1918, loss: 29.5349 2022-09-13 12:09:15,942 - mmseg - INFO - Iter [59850/80000] lr: 3.617e-07, eta: 10:49:09, time: 1.855, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7515, decode.loss_mask: 0.7666, decode.loss_dice: 1.1790, decode.d0.loss_cls: 2.4525, decode.d0.loss_mask: 0.7865, decode.d0.loss_dice: 1.3695, decode.d1.loss_cls: 0.8265, decode.d1.loss_mask: 0.8060, decode.d1.loss_dice: 1.2774, decode.d2.loss_cls: 0.7747, decode.d2.loss_mask: 0.7875, decode.d2.loss_dice: 1.2289, decode.d3.loss_cls: 0.7691, decode.d3.loss_mask: 0.7755, decode.d3.loss_dice: 1.1973, decode.d4.loss_cls: 0.7623, decode.d4.loss_mask: 0.7767, decode.d4.loss_dice: 1.1924, decode.d5.loss_cls: 0.7532, decode.d5.loss_mask: 0.7697, decode.d5.loss_dice: 1.1906, decode.d6.loss_cls: 0.7567, decode.d6.loss_mask: 0.7717, decode.d6.loss_dice: 1.1787, decode.d7.loss_cls: 0.7503, decode.d7.loss_mask: 0.7678, decode.d7.loss_dice: 1.1756, decode.d8.loss_cls: 0.7556, decode.d8.loss_mask: 0.7678, decode.d8.loss_dice: 1.1784, loss: 29.2963 2022-09-13 12:10:49,846 - mmseg - INFO - Iter [59900/80000] lr: 3.608e-07, eta: 10:47:31, time: 1.878, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7575, decode.loss_mask: 0.7347, decode.loss_dice: 1.1651, decode.d0.loss_cls: 2.5077, decode.d0.loss_mask: 0.7545, decode.d0.loss_dice: 1.3517, decode.d1.loss_cls: 0.8375, decode.d1.loss_mask: 0.7731, decode.d1.loss_dice: 1.2544, decode.d2.loss_cls: 0.7808, decode.d2.loss_mask: 0.7483, decode.d2.loss_dice: 1.2094, decode.d3.loss_cls: 0.7707, decode.d3.loss_mask: 0.7437, decode.d3.loss_dice: 1.1803, decode.d4.loss_cls: 0.7647, decode.d4.loss_mask: 0.7412, decode.d4.loss_dice: 1.1745, decode.d5.loss_cls: 0.7561, decode.d5.loss_mask: 0.7382, decode.d5.loss_dice: 1.1726, decode.d6.loss_cls: 0.7562, decode.d6.loss_mask: 0.7353, decode.d6.loss_dice: 1.1609, decode.d7.loss_cls: 0.7493, decode.d7.loss_mask: 0.7368, decode.d7.loss_dice: 1.1602, decode.d8.loss_cls: 0.7482, decode.d8.loss_mask: 0.7375, decode.d8.loss_dice: 1.1658, loss: 28.8670 2022-09-13 12:12:22,687 - mmseg - INFO - Iter [59950/80000] lr: 3.599e-07, eta: 10:45:53, time: 1.857, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7413, decode.loss_mask: 0.7517, decode.loss_dice: 1.1595, decode.d0.loss_cls: 2.4893, decode.d0.loss_mask: 0.7677, decode.d0.loss_dice: 1.3451, decode.d1.loss_cls: 0.8289, decode.d1.loss_mask: 0.7850, decode.d1.loss_dice: 1.2549, decode.d2.loss_cls: 0.7651, decode.d2.loss_mask: 0.7732, decode.d2.loss_dice: 1.2143, decode.d3.loss_cls: 0.7543, decode.d3.loss_mask: 0.7585, decode.d3.loss_dice: 1.1850, decode.d4.loss_cls: 0.7487, decode.d4.loss_mask: 0.7560, decode.d4.loss_dice: 1.1839, decode.d5.loss_cls: 0.7476, decode.d5.loss_mask: 0.7531, decode.d5.loss_dice: 1.1764, decode.d6.loss_cls: 0.7521, decode.d6.loss_mask: 0.7458, decode.d6.loss_dice: 1.1611, decode.d7.loss_cls: 0.7457, decode.d7.loss_mask: 0.7504, decode.d7.loss_dice: 1.1608, decode.d8.loss_cls: 0.7449, decode.d8.loss_mask: 0.7486, decode.d8.loss_dice: 1.1657, loss: 28.9147 2022-09-13 12:13:54,726 - mmseg - INFO - Saving checkpoint at 60000 iterations 2022-09-13 12:14:25,162 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 12:14:25,169 - mmseg - INFO - Iter [60000/80000] lr: 3.590e-07, eta: 10:44:25, time: 2.444, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7692, decode.loss_mask: 0.7646, decode.loss_dice: 1.1614, decode.d0.loss_cls: 2.5355, decode.d0.loss_mask: 0.7862, decode.d0.loss_dice: 1.3590, decode.d1.loss_cls: 0.8558, decode.d1.loss_mask: 0.7984, decode.d1.loss_dice: 1.2644, decode.d2.loss_cls: 0.8039, decode.d2.loss_mask: 0.7824, decode.d2.loss_dice: 1.2203, decode.d3.loss_cls: 0.7895, decode.d3.loss_mask: 0.7712, decode.d3.loss_dice: 1.1913, decode.d4.loss_cls: 0.7822, decode.d4.loss_mask: 0.7704, decode.d4.loss_dice: 1.1880, decode.d5.loss_cls: 0.7687, decode.d5.loss_mask: 0.7676, decode.d5.loss_dice: 1.1854, decode.d6.loss_cls: 0.7733, decode.d6.loss_mask: 0.7668, decode.d6.loss_dice: 1.1712, decode.d7.loss_cls: 0.7719, decode.d7.loss_mask: 0.7677, decode.d7.loss_dice: 1.1670, decode.d8.loss_cls: 0.7696, decode.d8.loss_mask: 0.7673, decode.d8.loss_dice: 1.1663, loss: 29.4366 2022-09-13 12:15:59,174 - mmseg - INFO - Iter [60050/80000] lr: 3.581e-07, eta: 10:42:48, time: 1.886, data_time: 0.019, memory: 42763, decode.loss_cls: 0.7753, decode.loss_mask: 0.7458, decode.loss_dice: 1.1704, decode.d0.loss_cls: 2.4940, decode.d0.loss_mask: 0.7737, decode.d0.loss_dice: 1.3600, decode.d1.loss_cls: 0.8494, decode.d1.loss_mask: 0.7817, decode.d1.loss_dice: 1.2630, decode.d2.loss_cls: 0.7956, decode.d2.loss_mask: 0.7678, decode.d2.loss_dice: 1.2170, decode.d3.loss_cls: 0.7894, decode.d3.loss_mask: 0.7591, decode.d3.loss_dice: 1.1953, decode.d4.loss_cls: 0.7843, decode.d4.loss_mask: 0.7574, decode.d4.loss_dice: 1.1901, decode.d5.loss_cls: 0.7853, decode.d5.loss_mask: 0.7516, decode.d5.loss_dice: 1.1795, decode.d6.loss_cls: 0.7796, decode.d6.loss_mask: 0.7511, decode.d6.loss_dice: 1.1734, decode.d7.loss_cls: 0.7733, decode.d7.loss_mask: 0.7496, decode.d7.loss_dice: 1.1743, decode.d8.loss_cls: 0.7758, decode.d8.loss_mask: 0.7483, decode.d8.loss_dice: 1.1723, loss: 29.2831 2022-09-13 12:17:31,742 - mmseg - INFO - Iter [60100/80000] lr: 3.572e-07, eta: 10:41:10, time: 1.851, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7282, decode.loss_mask: 0.7504, decode.loss_dice: 1.1454, decode.d0.loss_cls: 2.4753, decode.d0.loss_mask: 0.7748, decode.d0.loss_dice: 1.3283, decode.d1.loss_cls: 0.8154, decode.d1.loss_mask: 0.7849, decode.d1.loss_dice: 1.2440, decode.d2.loss_cls: 0.7588, decode.d2.loss_mask: 0.7713, decode.d2.loss_dice: 1.1923, decode.d3.loss_cls: 0.7463, decode.d3.loss_mask: 0.7627, decode.d3.loss_dice: 1.1726, decode.d4.loss_cls: 0.7399, decode.d4.loss_mask: 0.7585, decode.d4.loss_dice: 1.1674, decode.d5.loss_cls: 0.7332, decode.d5.loss_mask: 0.7544, decode.d5.loss_dice: 1.1599, decode.d6.loss_cls: 0.7306, decode.d6.loss_mask: 0.7517, decode.d6.loss_dice: 1.1536, decode.d7.loss_cls: 0.7299, decode.d7.loss_mask: 0.7515, decode.d7.loss_dice: 1.1450, decode.d8.loss_cls: 0.7278, decode.d8.loss_mask: 0.7492, decode.d8.loss_dice: 1.1440, loss: 28.6474 2022-09-13 12:19:04,324 - mmseg - INFO - Iter [60150/80000] lr: 3.563e-07, eta: 10:39:32, time: 1.850, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7873, decode.loss_mask: 0.7308, decode.loss_dice: 1.1575, decode.d0.loss_cls: 2.5272, decode.d0.loss_mask: 0.7642, decode.d0.loss_dice: 1.3620, decode.d1.loss_cls: 0.8660, decode.d1.loss_mask: 0.7704, decode.d1.loss_dice: 1.2520, decode.d2.loss_cls: 0.8135, decode.d2.loss_mask: 0.7471, decode.d2.loss_dice: 1.1986, decode.d3.loss_cls: 0.8091, decode.d3.loss_mask: 0.7443, decode.d3.loss_dice: 1.1800, decode.d4.loss_cls: 0.8017, decode.d4.loss_mask: 0.7421, decode.d4.loss_dice: 1.1783, decode.d5.loss_cls: 0.7917, decode.d5.loss_mask: 0.7369, decode.d5.loss_dice: 1.1692, decode.d6.loss_cls: 0.7927, decode.d6.loss_mask: 0.7317, decode.d6.loss_dice: 1.1550, decode.d7.loss_cls: 0.7860, decode.d7.loss_mask: 0.7349, decode.d7.loss_dice: 1.1541, decode.d8.loss_cls: 0.7793, decode.d8.loss_mask: 0.7350, decode.d8.loss_dice: 1.1551, loss: 29.1537 2022-09-13 12:20:36,948 - mmseg - INFO - Iter [60200/80000] lr: 3.554e-07, eta: 10:37:54, time: 1.854, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7145, decode.loss_mask: 0.7425, decode.loss_dice: 1.1339, decode.d0.loss_cls: 2.4450, decode.d0.loss_mask: 0.7677, decode.d0.loss_dice: 1.3169, decode.d1.loss_cls: 0.7940, decode.d1.loss_mask: 0.7796, decode.d1.loss_dice: 1.2376, decode.d2.loss_cls: 0.7423, decode.d2.loss_mask: 0.7607, decode.d2.loss_dice: 1.1796, decode.d3.loss_cls: 0.7284, decode.d3.loss_mask: 0.7558, decode.d3.loss_dice: 1.1519, decode.d4.loss_cls: 0.7216, decode.d4.loss_mask: 0.7536, decode.d4.loss_dice: 1.1519, decode.d5.loss_cls: 0.7207, decode.d5.loss_mask: 0.7518, decode.d5.loss_dice: 1.1464, decode.d6.loss_cls: 0.7198, decode.d6.loss_mask: 0.7477, decode.d6.loss_dice: 1.1313, decode.d7.loss_cls: 0.7194, decode.d7.loss_mask: 0.7439, decode.d7.loss_dice: 1.1296, decode.d8.loss_cls: 0.7149, decode.d8.loss_mask: 0.7446, decode.d8.loss_dice: 1.1272, loss: 28.2749 2022-09-13 12:22:09,339 - mmseg - INFO - Iter [60250/80000] lr: 3.545e-07, eta: 10:36:16, time: 1.847, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7127, decode.loss_mask: 0.7466, decode.loss_dice: 1.1293, decode.d0.loss_cls: 2.4497, decode.d0.loss_mask: 0.7626, decode.d0.loss_dice: 1.3043, decode.d1.loss_cls: 0.7885, decode.d1.loss_mask: 0.7782, decode.d1.loss_dice: 1.2263, decode.d2.loss_cls: 0.7436, decode.d2.loss_mask: 0.7692, decode.d2.loss_dice: 1.1759, decode.d3.loss_cls: 0.7312, decode.d3.loss_mask: 0.7566, decode.d3.loss_dice: 1.1522, decode.d4.loss_cls: 0.7219, decode.d4.loss_mask: 0.7549, decode.d4.loss_dice: 1.1581, decode.d5.loss_cls: 0.7187, decode.d5.loss_mask: 0.7506, decode.d5.loss_dice: 1.1456, decode.d6.loss_cls: 0.7135, decode.d6.loss_mask: 0.7522, decode.d6.loss_dice: 1.1333, decode.d7.loss_cls: 0.7143, decode.d7.loss_mask: 0.7512, decode.d7.loss_dice: 1.1309, decode.d8.loss_cls: 0.7120, decode.d8.loss_mask: 0.7477, decode.d8.loss_dice: 1.1263, loss: 28.2579 2022-09-13 12:23:42,018 - mmseg - INFO - Iter [60300/80000] lr: 3.536e-07, eta: 10:34:38, time: 1.854, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7195, decode.loss_mask: 0.7519, decode.loss_dice: 1.1425, decode.d0.loss_cls: 2.4344, decode.d0.loss_mask: 0.7730, decode.d0.loss_dice: 1.3143, decode.d1.loss_cls: 0.7880, decode.d1.loss_mask: 0.7863, decode.d1.loss_dice: 1.2360, decode.d2.loss_cls: 0.7409, decode.d2.loss_mask: 0.7636, decode.d2.loss_dice: 1.1775, decode.d3.loss_cls: 0.7352, decode.d3.loss_mask: 0.7552, decode.d3.loss_dice: 1.1572, decode.d4.loss_cls: 0.7318, decode.d4.loss_mask: 0.7519, decode.d4.loss_dice: 1.1554, decode.d5.loss_cls: 0.7207, decode.d5.loss_mask: 0.7504, decode.d5.loss_dice: 1.1473, decode.d6.loss_cls: 0.7267, decode.d6.loss_mask: 0.7506, decode.d6.loss_dice: 1.1431, decode.d7.loss_cls: 0.7251, decode.d7.loss_mask: 0.7490, decode.d7.loss_dice: 1.1469, decode.d8.loss_cls: 0.7208, decode.d8.loss_mask: 0.7488, decode.d8.loss_dice: 1.1404, loss: 28.3846 2022-09-13 12:25:15,212 - mmseg - INFO - Iter [60350/80000] lr: 3.527e-07, eta: 10:33:00, time: 1.864, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7685, decode.loss_mask: 0.7351, decode.loss_dice: 1.1573, decode.d0.loss_cls: 2.5251, decode.d0.loss_mask: 0.7495, decode.d0.loss_dice: 1.3390, decode.d1.loss_cls: 0.8520, decode.d1.loss_mask: 0.7716, decode.d1.loss_dice: 1.2578, decode.d2.loss_cls: 0.7971, decode.d2.loss_mask: 0.7544, decode.d2.loss_dice: 1.1971, decode.d3.loss_cls: 0.7880, decode.d3.loss_mask: 0.7429, decode.d3.loss_dice: 1.1838, decode.d4.loss_cls: 0.7777, decode.d4.loss_mask: 0.7422, decode.d4.loss_dice: 1.1684, decode.d5.loss_cls: 0.7818, decode.d5.loss_mask: 0.7381, decode.d5.loss_dice: 1.1636, decode.d6.loss_cls: 0.7776, decode.d6.loss_mask: 0.7328, decode.d6.loss_dice: 1.1525, decode.d7.loss_cls: 0.7747, decode.d7.loss_mask: 0.7291, decode.d7.loss_dice: 1.1525, decode.d8.loss_cls: 0.7656, decode.d8.loss_mask: 0.7334, decode.d8.loss_dice: 1.1603, loss: 28.9696 2022-09-13 12:26:48,421 - mmseg - INFO - Iter [60400/80000] lr: 3.518e-07, eta: 10:31:22, time: 1.864, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7711, decode.loss_mask: 0.7255, decode.loss_dice: 1.1479, decode.d0.loss_cls: 2.5497, decode.d0.loss_mask: 0.7346, decode.d0.loss_dice: 1.3174, decode.d1.loss_cls: 0.8526, decode.d1.loss_mask: 0.7436, decode.d1.loss_dice: 1.2398, decode.d2.loss_cls: 0.7949, decode.d2.loss_mask: 0.7366, decode.d2.loss_dice: 1.1933, decode.d3.loss_cls: 0.7770, decode.d3.loss_mask: 0.7269, decode.d3.loss_dice: 1.1764, decode.d4.loss_cls: 0.7730, decode.d4.loss_mask: 0.7250, decode.d4.loss_dice: 1.1627, decode.d5.loss_cls: 0.7684, decode.d5.loss_mask: 0.7270, decode.d5.loss_dice: 1.1631, decode.d6.loss_cls: 0.7646, decode.d6.loss_mask: 0.7232, decode.d6.loss_dice: 1.1495, decode.d7.loss_cls: 0.7631, decode.d7.loss_mask: 0.7247, decode.d7.loss_dice: 1.1505, decode.d8.loss_cls: 0.7606, decode.d8.loss_mask: 0.7229, decode.d8.loss_dice: 1.1582, loss: 28.7240 2022-09-13 12:28:20,973 - mmseg - INFO - Iter [60450/80000] lr: 3.509e-07, eta: 10:29:44, time: 1.851, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7777, decode.loss_mask: 0.7408, decode.loss_dice: 1.1861, decode.d0.loss_cls: 2.5156, decode.d0.loss_mask: 0.7692, decode.d0.loss_dice: 1.3712, decode.d1.loss_cls: 0.8528, decode.d1.loss_mask: 0.7799, decode.d1.loss_dice: 1.2805, decode.d2.loss_cls: 0.8141, decode.d2.loss_mask: 0.7640, decode.d2.loss_dice: 1.2370, decode.d3.loss_cls: 0.7872, decode.d3.loss_mask: 0.7592, decode.d3.loss_dice: 1.2173, decode.d4.loss_cls: 0.7833, decode.d4.loss_mask: 0.7548, decode.d4.loss_dice: 1.2091, decode.d5.loss_cls: 0.7787, decode.d5.loss_mask: 0.7475, decode.d5.loss_dice: 1.2055, decode.d6.loss_cls: 0.7770, decode.d6.loss_mask: 0.7450, decode.d6.loss_dice: 1.1944, decode.d7.loss_cls: 0.7748, decode.d7.loss_mask: 0.7419, decode.d7.loss_dice: 1.1915, decode.d8.loss_cls: 0.7688, decode.d8.loss_mask: 0.7426, decode.d8.loss_dice: 1.1929, loss: 29.4604 2022-09-13 12:29:53,766 - mmseg - INFO - Iter [60500/80000] lr: 3.500e-07, eta: 10:28:06, time: 1.856, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7645, decode.loss_mask: 0.7445, decode.loss_dice: 1.1584, decode.d0.loss_cls: 2.4950, decode.d0.loss_mask: 0.7646, decode.d0.loss_dice: 1.3445, decode.d1.loss_cls: 0.8551, decode.d1.loss_mask: 0.7711, decode.d1.loss_dice: 1.2447, decode.d2.loss_cls: 0.8064, decode.d2.loss_mask: 0.7593, decode.d2.loss_dice: 1.1953, decode.d3.loss_cls: 0.7774, decode.d3.loss_mask: 0.7570, decode.d3.loss_dice: 1.1803, decode.d4.loss_cls: 0.7785, decode.d4.loss_mask: 0.7522, decode.d4.loss_dice: 1.1683, decode.d5.loss_cls: 0.7705, decode.d5.loss_mask: 0.7445, decode.d5.loss_dice: 1.1591, decode.d6.loss_cls: 0.7679, decode.d6.loss_mask: 0.7440, decode.d6.loss_dice: 1.1543, decode.d7.loss_cls: 0.7721, decode.d7.loss_mask: 0.7429, decode.d7.loss_dice: 1.1519, decode.d8.loss_cls: 0.7706, decode.d8.loss_mask: 0.7411, decode.d8.loss_dice: 1.1498, loss: 28.9860 2022-09-13 12:31:26,805 - mmseg - INFO - Iter [60550/80000] lr: 3.491e-07, eta: 10:26:28, time: 1.861, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7255, decode.loss_mask: 0.7446, decode.loss_dice: 1.1622, decode.d0.loss_cls: 2.4896, decode.d0.loss_mask: 0.7681, decode.d0.loss_dice: 1.3435, decode.d1.loss_cls: 0.8023, decode.d1.loss_mask: 0.7780, decode.d1.loss_dice: 1.2600, decode.d2.loss_cls: 0.7494, decode.d2.loss_mask: 0.7558, decode.d2.loss_dice: 1.2184, decode.d3.loss_cls: 0.7385, decode.d3.loss_mask: 0.7511, decode.d3.loss_dice: 1.1888, decode.d4.loss_cls: 0.7356, decode.d4.loss_mask: 0.7502, decode.d4.loss_dice: 1.1802, decode.d5.loss_cls: 0.7273, decode.d5.loss_mask: 0.7500, decode.d5.loss_dice: 1.1741, decode.d6.loss_cls: 0.7214, decode.d6.loss_mask: 0.7475, decode.d6.loss_dice: 1.1601, decode.d7.loss_cls: 0.7266, decode.d7.loss_mask: 0.7463, decode.d7.loss_dice: 1.1518, decode.d8.loss_cls: 0.7226, decode.d8.loss_mask: 0.7443, decode.d8.loss_dice: 1.1609, loss: 28.6747 2022-09-13 12:32:57,223 - mmseg - INFO - Iter [60600/80000] lr: 3.482e-07, eta: 10:24:50, time: 1.808, data_time: 0.014, memory: 42763, decode.loss_cls: 0.6959, decode.loss_mask: 0.7370, decode.loss_dice: 1.1436, decode.d0.loss_cls: 2.4533, decode.d0.loss_mask: 0.7563, decode.d0.loss_dice: 1.3127, decode.d1.loss_cls: 0.7717, decode.d1.loss_mask: 0.7702, decode.d1.loss_dice: 1.2343, decode.d2.loss_cls: 0.7172, decode.d2.loss_mask: 0.7543, decode.d2.loss_dice: 1.1848, decode.d3.loss_cls: 0.7092, decode.d3.loss_mask: 0.7421, decode.d3.loss_dice: 1.1673, decode.d4.loss_cls: 0.7067, decode.d4.loss_mask: 0.7426, decode.d4.loss_dice: 1.1598, decode.d5.loss_cls: 0.7042, decode.d5.loss_mask: 0.7426, decode.d5.loss_dice: 1.1540, decode.d6.loss_cls: 0.6965, decode.d6.loss_mask: 0.7412, decode.d6.loss_dice: 1.1477, decode.d7.loss_cls: 0.6945, decode.d7.loss_mask: 0.7428, decode.d7.loss_dice: 1.1484, decode.d8.loss_cls: 0.6956, decode.d8.loss_mask: 0.7379, decode.d8.loss_dice: 1.1486, loss: 28.1131 2022-09-13 12:34:28,602 - mmseg - INFO - Iter [60650/80000] lr: 3.473e-07, eta: 10:23:12, time: 1.828, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7595, decode.loss_mask: 0.7295, decode.loss_dice: 1.1466, decode.d0.loss_cls: 2.4808, decode.d0.loss_mask: 0.7542, decode.d0.loss_dice: 1.3285, decode.d1.loss_cls: 0.8410, decode.d1.loss_mask: 0.7644, decode.d1.loss_dice: 1.2464, decode.d2.loss_cls: 0.7952, decode.d2.loss_mask: 0.7451, decode.d2.loss_dice: 1.1901, decode.d3.loss_cls: 0.7829, decode.d3.loss_mask: 0.7410, decode.d3.loss_dice: 1.1676, decode.d4.loss_cls: 0.7699, decode.d4.loss_mask: 0.7371, decode.d4.loss_dice: 1.1607, decode.d5.loss_cls: 0.7623, decode.d5.loss_mask: 0.7379, decode.d5.loss_dice: 1.1560, decode.d6.loss_cls: 0.7614, decode.d6.loss_mask: 0.7329, decode.d6.loss_dice: 1.1448, decode.d7.loss_cls: 0.7551, decode.d7.loss_mask: 0.7329, decode.d7.loss_dice: 1.1473, decode.d8.loss_cls: 0.7600, decode.d8.loss_mask: 0.7288, decode.d8.loss_dice: 1.1449, loss: 28.7050 2022-09-13 12:36:01,362 - mmseg - INFO - Iter [60700/80000] lr: 3.464e-07, eta: 10:21:34, time: 1.855, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7512, decode.loss_mask: 0.7345, decode.loss_dice: 1.1434, decode.d0.loss_cls: 2.4374, decode.d0.loss_mask: 0.7558, decode.d0.loss_dice: 1.3370, decode.d1.loss_cls: 0.8379, decode.d1.loss_mask: 0.7719, decode.d1.loss_dice: 1.2501, decode.d2.loss_cls: 0.7912, decode.d2.loss_mask: 0.7495, decode.d2.loss_dice: 1.1926, decode.d3.loss_cls: 0.7690, decode.d3.loss_mask: 0.7398, decode.d3.loss_dice: 1.1706, decode.d4.loss_cls: 0.7691, decode.d4.loss_mask: 0.7369, decode.d4.loss_dice: 1.1664, decode.d5.loss_cls: 0.7609, decode.d5.loss_mask: 0.7383, decode.d5.loss_dice: 1.1537, decode.d6.loss_cls: 0.7556, decode.d6.loss_mask: 0.7356, decode.d6.loss_dice: 1.1407, decode.d7.loss_cls: 0.7539, decode.d7.loss_mask: 0.7372, decode.d7.loss_dice: 1.1487, decode.d8.loss_cls: 0.7533, decode.d8.loss_mask: 0.7318, decode.d8.loss_dice: 1.1445, loss: 28.6584 2022-09-13 12:37:33,494 - mmseg - INFO - Iter [60750/80000] lr: 3.455e-07, eta: 10:19:56, time: 1.843, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7191, decode.loss_mask: 0.7589, decode.loss_dice: 1.1516, decode.d0.loss_cls: 2.4191, decode.d0.loss_mask: 0.7769, decode.d0.loss_dice: 1.3276, decode.d1.loss_cls: 0.7972, decode.d1.loss_mask: 0.7945, decode.d1.loss_dice: 1.2536, decode.d2.loss_cls: 0.7521, decode.d2.loss_mask: 0.7755, decode.d2.loss_dice: 1.1896, decode.d3.loss_cls: 0.7341, decode.d3.loss_mask: 0.7688, decode.d3.loss_dice: 1.1686, decode.d4.loss_cls: 0.7302, decode.d4.loss_mask: 0.7658, decode.d4.loss_dice: 1.1632, decode.d5.loss_cls: 0.7220, decode.d5.loss_mask: 0.7630, decode.d5.loss_dice: 1.1616, decode.d6.loss_cls: 0.7182, decode.d6.loss_mask: 0.7608, decode.d6.loss_dice: 1.1541, decode.d7.loss_cls: 0.7170, decode.d7.loss_mask: 0.7626, decode.d7.loss_dice: 1.1546, decode.d8.loss_cls: 0.7190, decode.d8.loss_mask: 0.7587, decode.d8.loss_dice: 1.1452, loss: 28.5831 2022-09-13 12:39:05,862 - mmseg - INFO - Iter [60800/80000] lr: 3.446e-07, eta: 10:18:18, time: 1.847, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7702, decode.loss_mask: 0.7505, decode.loss_dice: 1.1662, decode.d0.loss_cls: 2.5430, decode.d0.loss_mask: 0.7619, decode.d0.loss_dice: 1.3581, decode.d1.loss_cls: 0.8642, decode.d1.loss_mask: 0.7778, decode.d1.loss_dice: 1.2670, decode.d2.loss_cls: 0.8006, decode.d2.loss_mask: 0.7703, decode.d2.loss_dice: 1.2234, decode.d3.loss_cls: 0.7914, decode.d3.loss_mask: 0.7593, decode.d3.loss_dice: 1.1914, decode.d4.loss_cls: 0.7774, decode.d4.loss_mask: 0.7540, decode.d4.loss_dice: 1.1878, decode.d5.loss_cls: 0.7752, decode.d5.loss_mask: 0.7533, decode.d5.loss_dice: 1.1831, decode.d6.loss_cls: 0.7736, decode.d6.loss_mask: 0.7472, decode.d6.loss_dice: 1.1685, decode.d7.loss_cls: 0.7777, decode.d7.loss_mask: 0.7457, decode.d7.loss_dice: 1.1682, decode.d8.loss_cls: 0.7695, decode.d8.loss_mask: 0.7498, decode.d8.loss_dice: 1.1676, loss: 29.2942 2022-09-13 12:40:38,766 - mmseg - INFO - Iter [60850/80000] lr: 3.437e-07, eta: 10:16:40, time: 1.858, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7397, decode.loss_mask: 0.7606, decode.loss_dice: 1.1618, decode.d0.loss_cls: 2.4566, decode.d0.loss_mask: 0.7735, decode.d0.loss_dice: 1.3488, decode.d1.loss_cls: 0.8291, decode.d1.loss_mask: 0.7914, decode.d1.loss_dice: 1.2537, decode.d2.loss_cls: 0.7816, decode.d2.loss_mask: 0.7765, decode.d2.loss_dice: 1.2099, decode.d3.loss_cls: 0.7570, decode.d3.loss_mask: 0.7745, decode.d3.loss_dice: 1.1923, decode.d4.loss_cls: 0.7533, decode.d4.loss_mask: 0.7682, decode.d4.loss_dice: 1.1785, decode.d5.loss_cls: 0.7463, decode.d5.loss_mask: 0.7670, decode.d5.loss_dice: 1.1797, decode.d6.loss_cls: 0.7453, decode.d6.loss_mask: 0.7570, decode.d6.loss_dice: 1.1620, decode.d7.loss_cls: 0.7394, decode.d7.loss_mask: 0.7608, decode.d7.loss_dice: 1.1654, decode.d8.loss_cls: 0.7432, decode.d8.loss_mask: 0.7608, decode.d8.loss_dice: 1.1666, loss: 29.0003 2022-09-13 12:42:11,826 - mmseg - INFO - Iter [60900/80000] lr: 3.428e-07, eta: 10:15:02, time: 1.861, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7163, decode.loss_mask: 0.7344, decode.loss_dice: 1.1233, decode.d0.loss_cls: 2.4432, decode.d0.loss_mask: 0.7573, decode.d0.loss_dice: 1.3136, decode.d1.loss_cls: 0.7915, decode.d1.loss_mask: 0.7762, decode.d1.loss_dice: 1.2262, decode.d2.loss_cls: 0.7363, decode.d2.loss_mask: 0.7480, decode.d2.loss_dice: 1.1755, decode.d3.loss_cls: 0.7229, decode.d3.loss_mask: 0.7449, decode.d3.loss_dice: 1.1520, decode.d4.loss_cls: 0.7237, decode.d4.loss_mask: 0.7432, decode.d4.loss_dice: 1.1388, decode.d5.loss_cls: 0.7195, decode.d5.loss_mask: 0.7402, decode.d5.loss_dice: 1.1369, decode.d6.loss_cls: 0.7107, decode.d6.loss_mask: 0.7374, decode.d6.loss_dice: 1.1294, decode.d7.loss_cls: 0.7101, decode.d7.loss_mask: 0.7386, decode.d7.loss_dice: 1.1256, decode.d8.loss_cls: 0.7139, decode.d8.loss_mask: 0.7371, decode.d8.loss_dice: 1.1304, loss: 28.0971 2022-09-13 12:43:45,159 - mmseg - INFO - Iter [60950/80000] lr: 3.419e-07, eta: 10:13:25, time: 1.867, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7431, decode.loss_mask: 0.7478, decode.loss_dice: 1.1423, decode.d0.loss_cls: 2.4574, decode.d0.loss_mask: 0.7767, decode.d0.loss_dice: 1.3341, decode.d1.loss_cls: 0.8177, decode.d1.loss_mask: 0.7825, decode.d1.loss_dice: 1.2420, decode.d2.loss_cls: 0.7708, decode.d2.loss_mask: 0.7651, decode.d2.loss_dice: 1.1898, decode.d3.loss_cls: 0.7644, decode.d3.loss_mask: 0.7584, decode.d3.loss_dice: 1.1675, decode.d4.loss_cls: 0.7495, decode.d4.loss_mask: 0.7566, decode.d4.loss_dice: 1.1642, decode.d5.loss_cls: 0.7483, decode.d5.loss_mask: 0.7556, decode.d5.loss_dice: 1.1565, decode.d6.loss_cls: 0.7432, decode.d6.loss_mask: 0.7474, decode.d6.loss_dice: 1.1487, decode.d7.loss_cls: 0.7457, decode.d7.loss_mask: 0.7467, decode.d7.loss_dice: 1.1433, decode.d8.loss_cls: 0.7451, decode.d8.loss_mask: 0.7468, decode.d8.loss_dice: 1.1430, loss: 28.7004 2022-09-13 12:45:18,574 - mmseg - INFO - Saving checkpoint at 61000 iterations 2022-09-13 12:45:47,672 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 12:45:47,679 - mmseg - INFO - Iter [61000/80000] lr: 3.410e-07, eta: 10:11:56, time: 2.449, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7471, decode.loss_mask: 0.7638, decode.loss_dice: 1.1490, decode.d0.loss_cls: 2.4652, decode.d0.loss_mask: 0.7824, decode.d0.loss_dice: 1.3279, decode.d1.loss_cls: 0.8218, decode.d1.loss_mask: 0.7981, decode.d1.loss_dice: 1.2447, decode.d2.loss_cls: 0.7800, decode.d2.loss_mask: 0.7818, decode.d2.loss_dice: 1.1943, decode.d3.loss_cls: 0.7677, decode.d3.loss_mask: 0.7714, decode.d3.loss_dice: 1.1709, decode.d4.loss_cls: 0.7638, decode.d4.loss_mask: 0.7691, decode.d4.loss_dice: 1.1613, decode.d5.loss_cls: 0.7461, decode.d5.loss_mask: 0.7703, decode.d5.loss_dice: 1.1605, decode.d6.loss_cls: 0.7512, decode.d6.loss_mask: 0.7640, decode.d6.loss_dice: 1.1513, decode.d7.loss_cls: 0.7519, decode.d7.loss_mask: 0.7563, decode.d7.loss_dice: 1.1501, decode.d8.loss_cls: 0.7482, decode.d8.loss_mask: 0.7591, decode.d8.loss_dice: 1.1472, loss: 28.9166 2022-09-13 12:47:22,399 - mmseg - INFO - Iter [61050/80000] lr: 3.401e-07, eta: 10:10:19, time: 1.896, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7614, decode.loss_mask: 0.7274, decode.loss_dice: 1.1483, decode.d0.loss_cls: 2.5138, decode.d0.loss_mask: 0.7502, decode.d0.loss_dice: 1.3321, decode.d1.loss_cls: 0.8489, decode.d1.loss_mask: 0.7605, decode.d1.loss_dice: 1.2447, decode.d2.loss_cls: 0.7863, decode.d2.loss_mask: 0.7486, decode.d2.loss_dice: 1.1967, decode.d3.loss_cls: 0.7739, decode.d3.loss_mask: 0.7431, decode.d3.loss_dice: 1.1734, decode.d4.loss_cls: 0.7670, decode.d4.loss_mask: 0.7358, decode.d4.loss_dice: 1.1686, decode.d5.loss_cls: 0.7665, decode.d5.loss_mask: 0.7329, decode.d5.loss_dice: 1.1621, decode.d6.loss_cls: 0.7626, decode.d6.loss_mask: 0.7307, decode.d6.loss_dice: 1.1469, decode.d7.loss_cls: 0.7603, decode.d7.loss_mask: 0.7281, decode.d7.loss_dice: 1.1461, decode.d8.loss_cls: 0.7554, decode.d8.loss_mask: 0.7313, decode.d8.loss_dice: 1.1475, loss: 28.7510 2022-09-13 12:48:57,137 - mmseg - INFO - Iter [61100/80000] lr: 3.392e-07, eta: 10:08:42, time: 1.895, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7115, decode.loss_mask: 0.7515, decode.loss_dice: 1.1712, decode.d0.loss_cls: 2.4311, decode.d0.loss_mask: 0.7787, decode.d0.loss_dice: 1.3575, decode.d1.loss_cls: 0.7942, decode.d1.loss_mask: 0.7902, decode.d1.loss_dice: 1.2749, decode.d2.loss_cls: 0.7450, decode.d2.loss_mask: 0.7681, decode.d2.loss_dice: 1.2162, decode.d3.loss_cls: 0.7279, decode.d3.loss_mask: 0.7626, decode.d3.loss_dice: 1.1943, decode.d4.loss_cls: 0.7189, decode.d4.loss_mask: 0.7602, decode.d4.loss_dice: 1.1871, decode.d5.loss_cls: 0.7153, decode.d5.loss_mask: 0.7543, decode.d5.loss_dice: 1.1856, decode.d6.loss_cls: 0.7178, decode.d6.loss_mask: 0.7501, decode.d6.loss_dice: 1.1747, decode.d7.loss_cls: 0.7101, decode.d7.loss_mask: 0.7483, decode.d7.loss_dice: 1.1719, decode.d8.loss_cls: 0.7109, decode.d8.loss_mask: 0.7498, decode.d8.loss_dice: 1.1728, loss: 28.7026 2022-09-13 12:50:29,835 - mmseg - INFO - Iter [61150/80000] lr: 3.383e-07, eta: 10:07:04, time: 1.854, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7643, decode.loss_mask: 0.7384, decode.loss_dice: 1.1729, decode.d0.loss_cls: 2.5219, decode.d0.loss_mask: 0.7650, decode.d0.loss_dice: 1.3512, decode.d1.loss_cls: 0.8318, decode.d1.loss_mask: 0.7832, decode.d1.loss_dice: 1.2741, decode.d2.loss_cls: 0.7802, decode.d2.loss_mask: 0.7630, decode.d2.loss_dice: 1.2213, decode.d3.loss_cls: 0.7804, decode.d3.loss_mask: 0.7500, decode.d3.loss_dice: 1.1909, decode.d4.loss_cls: 0.7672, decode.d4.loss_mask: 0.7529, decode.d4.loss_dice: 1.1917, decode.d5.loss_cls: 0.7663, decode.d5.loss_mask: 0.7478, decode.d5.loss_dice: 1.1844, decode.d6.loss_cls: 0.7628, decode.d6.loss_mask: 0.7443, decode.d6.loss_dice: 1.1769, decode.d7.loss_cls: 0.7625, decode.d7.loss_mask: 0.7427, decode.d7.loss_dice: 1.1729, decode.d8.loss_cls: 0.7581, decode.d8.loss_mask: 0.7452, decode.d8.loss_dice: 1.1711, loss: 29.1355 2022-09-13 12:52:02,444 - mmseg - INFO - Iter [61200/80000] lr: 3.374e-07, eta: 10:05:26, time: 1.852, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7078, decode.loss_mask: 0.7417, decode.loss_dice: 1.1439, decode.d0.loss_cls: 2.4287, decode.d0.loss_mask: 0.7577, decode.d0.loss_dice: 1.3309, decode.d1.loss_cls: 0.7837, decode.d1.loss_mask: 0.7785, decode.d1.loss_dice: 1.2482, decode.d2.loss_cls: 0.7337, decode.d2.loss_mask: 0.7605, decode.d2.loss_dice: 1.1954, decode.d3.loss_cls: 0.7248, decode.d3.loss_mask: 0.7548, decode.d3.loss_dice: 1.1704, decode.d4.loss_cls: 0.7200, decode.d4.loss_mask: 0.7493, decode.d4.loss_dice: 1.1678, decode.d5.loss_cls: 0.7157, decode.d5.loss_mask: 0.7452, decode.d5.loss_dice: 1.1597, decode.d6.loss_cls: 0.7084, decode.d6.loss_mask: 0.7447, decode.d6.loss_dice: 1.1480, decode.d7.loss_cls: 0.7146, decode.d7.loss_mask: 0.7413, decode.d7.loss_dice: 1.1495, decode.d8.loss_cls: 0.7041, decode.d8.loss_mask: 0.7439, decode.d8.loss_dice: 1.1504, loss: 28.3232 2022-09-13 12:53:34,767 - mmseg - INFO - Iter [61250/80000] lr: 3.365e-07, eta: 10:03:48, time: 1.846, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7414, decode.loss_mask: 0.7592, decode.loss_dice: 1.1564, decode.d0.loss_cls: 2.4737, decode.d0.loss_mask: 0.7765, decode.d0.loss_dice: 1.3351, decode.d1.loss_cls: 0.8295, decode.d1.loss_mask: 0.7948, decode.d1.loss_dice: 1.2507, decode.d2.loss_cls: 0.7754, decode.d2.loss_mask: 0.7790, decode.d2.loss_dice: 1.2019, decode.d3.loss_cls: 0.7627, decode.d3.loss_mask: 0.7661, decode.d3.loss_dice: 1.1756, decode.d4.loss_cls: 0.7523, decode.d4.loss_mask: 0.7699, decode.d4.loss_dice: 1.1717, decode.d5.loss_cls: 0.7503, decode.d5.loss_mask: 0.7627, decode.d5.loss_dice: 1.1674, decode.d6.loss_cls: 0.7513, decode.d6.loss_mask: 0.7622, decode.d6.loss_dice: 1.1559, decode.d7.loss_cls: 0.7485, decode.d7.loss_mask: 0.7600, decode.d7.loss_dice: 1.1577, decode.d8.loss_cls: 0.7391, decode.d8.loss_mask: 0.7598, decode.d8.loss_dice: 1.1617, loss: 28.9482 2022-09-13 12:55:07,423 - mmseg - INFO - Iter [61300/80000] lr: 3.356e-07, eta: 10:02:10, time: 1.853, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7363, decode.loss_mask: 0.7640, decode.loss_dice: 1.1550, decode.d0.loss_cls: 2.4426, decode.d0.loss_mask: 0.7893, decode.d0.loss_dice: 1.3333, decode.d1.loss_cls: 0.8076, decode.d1.loss_mask: 0.7945, decode.d1.loss_dice: 1.2582, decode.d2.loss_cls: 0.7546, decode.d2.loss_mask: 0.7800, decode.d2.loss_dice: 1.2045, decode.d3.loss_cls: 0.7510, decode.d3.loss_mask: 0.7709, decode.d3.loss_dice: 1.1783, decode.d4.loss_cls: 0.7458, decode.d4.loss_mask: 0.7675, decode.d4.loss_dice: 1.1705, decode.d5.loss_cls: 0.7384, decode.d5.loss_mask: 0.7653, decode.d5.loss_dice: 1.1680, decode.d6.loss_cls: 0.7284, decode.d6.loss_mask: 0.7689, decode.d6.loss_dice: 1.1663, decode.d7.loss_cls: 0.7315, decode.d7.loss_mask: 0.7653, decode.d7.loss_dice: 1.1534, decode.d8.loss_cls: 0.7337, decode.d8.loss_mask: 0.7619, decode.d8.loss_dice: 1.1548, loss: 28.8400 2022-09-13 12:56:40,389 - mmseg - INFO - Iter [61350/80000] lr: 3.347e-07, eta: 10:00:33, time: 1.859, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7565, decode.loss_mask: 0.7284, decode.loss_dice: 1.1437, decode.d0.loss_cls: 2.4836, decode.d0.loss_mask: 0.7536, decode.d0.loss_dice: 1.3310, decode.d1.loss_cls: 0.8404, decode.d1.loss_mask: 0.7570, decode.d1.loss_dice: 1.2527, decode.d2.loss_cls: 0.7870, decode.d2.loss_mask: 0.7350, decode.d2.loss_dice: 1.1985, decode.d3.loss_cls: 0.7797, decode.d3.loss_mask: 0.7327, decode.d3.loss_dice: 1.1724, decode.d4.loss_cls: 0.7691, decode.d4.loss_mask: 0.7323, decode.d4.loss_dice: 1.1623, decode.d5.loss_cls: 0.7615, decode.d5.loss_mask: 0.7288, decode.d5.loss_dice: 1.1588, decode.d6.loss_cls: 0.7644, decode.d6.loss_mask: 0.7282, decode.d6.loss_dice: 1.1501, decode.d7.loss_cls: 0.7603, decode.d7.loss_mask: 0.7252, decode.d7.loss_dice: 1.1433, decode.d8.loss_cls: 0.7602, decode.d8.loss_mask: 0.7236, decode.d8.loss_dice: 1.1421, loss: 28.6621 2022-09-13 12:58:14,100 - mmseg - INFO - Iter [61400/80000] lr: 3.338e-07, eta: 9:58:55, time: 1.874, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7444, decode.loss_mask: 0.7312, decode.loss_dice: 1.1235, decode.d0.loss_cls: 2.5139, decode.d0.loss_mask: 0.7618, decode.d0.loss_dice: 1.3136, decode.d1.loss_cls: 0.8162, decode.d1.loss_mask: 0.7672, decode.d1.loss_dice: 1.2247, decode.d2.loss_cls: 0.7695, decode.d2.loss_mask: 0.7478, decode.d2.loss_dice: 1.1725, decode.d3.loss_cls: 0.7550, decode.d3.loss_mask: 0.7463, decode.d3.loss_dice: 1.1465, decode.d4.loss_cls: 0.7464, decode.d4.loss_mask: 0.7406, decode.d4.loss_dice: 1.1470, decode.d5.loss_cls: 0.7411, decode.d5.loss_mask: 0.7364, decode.d5.loss_dice: 1.1411, decode.d6.loss_cls: 0.7379, decode.d6.loss_mask: 0.7371, decode.d6.loss_dice: 1.1272, decode.d7.loss_cls: 0.7413, decode.d7.loss_mask: 0.7309, decode.d7.loss_dice: 1.1241, decode.d8.loss_cls: 0.7399, decode.d8.loss_mask: 0.7300, decode.d8.loss_dice: 1.1220, loss: 28.3772 2022-09-13 12:59:46,564 - mmseg - INFO - Iter [61450/80000] lr: 3.329e-07, eta: 9:57:17, time: 1.849, data_time: 0.018, memory: 42763, decode.loss_cls: 0.7400, decode.loss_mask: 0.7518, decode.loss_dice: 1.1598, decode.d0.loss_cls: 2.4838, decode.d0.loss_mask: 0.7692, decode.d0.loss_dice: 1.3299, decode.d1.loss_cls: 0.8198, decode.d1.loss_mask: 0.7794, decode.d1.loss_dice: 1.2561, decode.d2.loss_cls: 0.7743, decode.d2.loss_mask: 0.7652, decode.d2.loss_dice: 1.2098, decode.d3.loss_cls: 0.7597, decode.d3.loss_mask: 0.7591, decode.d3.loss_dice: 1.1735, decode.d4.loss_cls: 0.7541, decode.d4.loss_mask: 0.7536, decode.d4.loss_dice: 1.1737, decode.d5.loss_cls: 0.7524, decode.d5.loss_mask: 0.7549, decode.d5.loss_dice: 1.1730, decode.d6.loss_cls: 0.7469, decode.d6.loss_mask: 0.7499, decode.d6.loss_dice: 1.1618, decode.d7.loss_cls: 0.7414, decode.d7.loss_mask: 0.7503, decode.d7.loss_dice: 1.1598, decode.d8.loss_cls: 0.7423, decode.d8.loss_mask: 0.7547, decode.d8.loss_dice: 1.1569, loss: 28.8571 2022-09-13 13:01:19,352 - mmseg - INFO - Iter [61500/80000] lr: 3.320e-07, eta: 9:55:39, time: 1.856, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7561, decode.loss_mask: 0.7267, decode.loss_dice: 1.1541, decode.d0.loss_cls: 2.5127, decode.d0.loss_mask: 0.7458, decode.d0.loss_dice: 1.3389, decode.d1.loss_cls: 0.8406, decode.d1.loss_mask: 0.7621, decode.d1.loss_dice: 1.2454, decode.d2.loss_cls: 0.7888, decode.d2.loss_mask: 0.7464, decode.d2.loss_dice: 1.2009, decode.d3.loss_cls: 0.7811, decode.d3.loss_mask: 0.7331, decode.d3.loss_dice: 1.1678, decode.d4.loss_cls: 0.7719, decode.d4.loss_mask: 0.7310, decode.d4.loss_dice: 1.1634, decode.d5.loss_cls: 0.7680, decode.d5.loss_mask: 0.7268, decode.d5.loss_dice: 1.1540, decode.d6.loss_cls: 0.7615, decode.d6.loss_mask: 0.7268, decode.d6.loss_dice: 1.1477, decode.d7.loss_cls: 0.7616, decode.d7.loss_mask: 0.7258, decode.d7.loss_dice: 1.1508, decode.d8.loss_cls: 0.7619, decode.d8.loss_mask: 0.7272, decode.d8.loss_dice: 1.1434, loss: 28.7222 2022-09-13 13:02:50,930 - mmseg - INFO - Iter [61550/80000] lr: 3.311e-07, eta: 9:54:01, time: 1.832, data_time: 0.013, memory: 42763, decode.loss_cls: 0.6844, decode.loss_mask: 0.7508, decode.loss_dice: 1.1300, decode.d0.loss_cls: 2.4403, decode.d0.loss_mask: 0.7603, decode.d0.loss_dice: 1.3026, decode.d1.loss_cls: 0.7736, decode.d1.loss_mask: 0.7817, decode.d1.loss_dice: 1.2210, decode.d2.loss_cls: 0.7218, decode.d2.loss_mask: 0.7678, decode.d2.loss_dice: 1.1762, decode.d3.loss_cls: 0.7145, decode.d3.loss_mask: 0.7611, decode.d3.loss_dice: 1.1472, decode.d4.loss_cls: 0.6968, decode.d4.loss_mask: 0.7652, decode.d4.loss_dice: 1.1466, decode.d5.loss_cls: 0.6933, decode.d5.loss_mask: 0.7532, decode.d5.loss_dice: 1.1427, decode.d6.loss_cls: 0.6859, decode.d6.loss_mask: 0.7528, decode.d6.loss_dice: 1.1335, decode.d7.loss_cls: 0.6885, decode.d7.loss_mask: 0.7507, decode.d7.loss_dice: 1.1308, decode.d8.loss_cls: 0.6825, decode.d8.loss_mask: 0.7496, decode.d8.loss_dice: 1.1331, loss: 28.0385 2022-09-13 13:04:23,692 - mmseg - INFO - Iter [61600/80000] lr: 3.303e-07, eta: 9:52:24, time: 1.855, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7741, decode.loss_mask: 0.7422, decode.loss_dice: 1.1707, decode.d0.loss_cls: 2.4850, decode.d0.loss_mask: 0.7667, decode.d0.loss_dice: 1.3540, decode.d1.loss_cls: 0.8493, decode.d1.loss_mask: 0.7765, decode.d1.loss_dice: 1.2696, decode.d2.loss_cls: 0.7952, decode.d2.loss_mask: 0.7578, decode.d2.loss_dice: 1.2212, decode.d3.loss_cls: 0.7846, decode.d3.loss_mask: 0.7516, decode.d3.loss_dice: 1.2026, decode.d4.loss_cls: 0.7813, decode.d4.loss_mask: 0.7477, decode.d4.loss_dice: 1.1975, decode.d5.loss_cls: 0.7731, decode.d5.loss_mask: 0.7480, decode.d5.loss_dice: 1.1960, decode.d6.loss_cls: 0.7711, decode.d6.loss_mask: 0.7463, decode.d6.loss_dice: 1.1751, decode.d7.loss_cls: 0.7674, decode.d7.loss_mask: 0.7451, decode.d7.loss_dice: 1.1792, decode.d8.loss_cls: 0.7665, decode.d8.loss_mask: 0.7435, decode.d8.loss_dice: 1.1766, loss: 29.2156 2022-09-13 13:05:55,054 - mmseg - INFO - Iter [61650/80000] lr: 3.294e-07, eta: 9:50:45, time: 1.827, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7620, decode.loss_mask: 0.7489, decode.loss_dice: 1.1455, decode.d0.loss_cls: 2.4728, decode.d0.loss_mask: 0.7763, decode.d0.loss_dice: 1.3481, decode.d1.loss_cls: 0.8503, decode.d1.loss_mask: 0.7808, decode.d1.loss_dice: 1.2512, decode.d2.loss_cls: 0.7963, decode.d2.loss_mask: 0.7659, decode.d2.loss_dice: 1.1977, decode.d3.loss_cls: 0.7833, decode.d3.loss_mask: 0.7607, decode.d3.loss_dice: 1.1727, decode.d4.loss_cls: 0.7730, decode.d4.loss_mask: 0.7572, decode.d4.loss_dice: 1.1675, decode.d5.loss_cls: 0.7715, decode.d5.loss_mask: 0.7550, decode.d5.loss_dice: 1.1605, decode.d6.loss_cls: 0.7637, decode.d6.loss_mask: 0.7528, decode.d6.loss_dice: 1.1493, decode.d7.loss_cls: 0.7636, decode.d7.loss_mask: 0.7499, decode.d7.loss_dice: 1.1526, decode.d8.loss_cls: 0.7576, decode.d8.loss_mask: 0.7500, decode.d8.loss_dice: 1.1496, loss: 28.9865 2022-09-13 13:07:27,960 - mmseg - INFO - Iter [61700/80000] lr: 3.285e-07, eta: 9:49:08, time: 1.858, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7591, decode.loss_mask: 0.7588, decode.loss_dice: 1.1517, decode.d0.loss_cls: 2.4333, decode.d0.loss_mask: 0.7747, decode.d0.loss_dice: 1.3455, decode.d1.loss_cls: 0.8448, decode.d1.loss_mask: 0.7886, decode.d1.loss_dice: 1.2439, decode.d2.loss_cls: 0.7903, decode.d2.loss_mask: 0.7783, decode.d2.loss_dice: 1.2043, decode.d3.loss_cls: 0.7783, decode.d3.loss_mask: 0.7694, decode.d3.loss_dice: 1.1752, decode.d4.loss_cls: 0.7711, decode.d4.loss_mask: 0.7705, decode.d4.loss_dice: 1.1757, decode.d5.loss_cls: 0.7695, decode.d5.loss_mask: 0.7651, decode.d5.loss_dice: 1.1710, decode.d6.loss_cls: 0.7613, decode.d6.loss_mask: 0.7596, decode.d6.loss_dice: 1.1590, decode.d7.loss_cls: 0.7563, decode.d7.loss_mask: 0.7583, decode.d7.loss_dice: 1.1572, decode.d8.loss_cls: 0.7603, decode.d8.loss_mask: 0.7595, decode.d8.loss_dice: 1.1506, loss: 29.0414 2022-09-13 13:09:00,280 - mmseg - INFO - Iter [61750/80000] lr: 3.276e-07, eta: 9:47:30, time: 1.846, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7333, decode.loss_mask: 0.7447, decode.loss_dice: 1.1480, decode.d0.loss_cls: 2.4874, decode.d0.loss_mask: 0.7597, decode.d0.loss_dice: 1.3314, decode.d1.loss_cls: 0.8068, decode.d1.loss_mask: 0.7791, decode.d1.loss_dice: 1.2400, decode.d2.loss_cls: 0.7651, decode.d2.loss_mask: 0.7636, decode.d2.loss_dice: 1.2018, decode.d3.loss_cls: 0.7584, decode.d3.loss_mask: 0.7494, decode.d3.loss_dice: 1.1715, decode.d4.loss_cls: 0.7509, decode.d4.loss_mask: 0.7442, decode.d4.loss_dice: 1.1660, decode.d5.loss_cls: 0.7532, decode.d5.loss_mask: 0.7430, decode.d5.loss_dice: 1.1603, decode.d6.loss_cls: 0.7417, decode.d6.loss_mask: 0.7424, decode.d6.loss_dice: 1.1434, decode.d7.loss_cls: 0.7389, decode.d7.loss_mask: 0.7437, decode.d7.loss_dice: 1.1433, decode.d8.loss_cls: 0.7386, decode.d8.loss_mask: 0.7451, decode.d8.loss_dice: 1.1439, loss: 28.6391 2022-09-13 13:10:33,114 - mmseg - INFO - Iter [61800/80000] lr: 3.267e-07, eta: 9:45:52, time: 1.854, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7388, decode.loss_mask: 0.7317, decode.loss_dice: 1.1681, decode.d0.loss_cls: 2.4707, decode.d0.loss_mask: 0.7551, decode.d0.loss_dice: 1.3479, decode.d1.loss_cls: 0.8196, decode.d1.loss_mask: 0.7706, decode.d1.loss_dice: 1.2718, decode.d2.loss_cls: 0.7678, decode.d2.loss_mask: 0.7539, decode.d2.loss_dice: 1.2166, decode.d3.loss_cls: 0.7462, decode.d3.loss_mask: 0.7458, decode.d3.loss_dice: 1.1932, decode.d4.loss_cls: 0.7488, decode.d4.loss_mask: 0.7381, decode.d4.loss_dice: 1.1848, decode.d5.loss_cls: 0.7470, decode.d5.loss_mask: 0.7367, decode.d5.loss_dice: 1.1775, decode.d6.loss_cls: 0.7352, decode.d6.loss_mask: 0.7325, decode.d6.loss_dice: 1.1691, decode.d7.loss_cls: 0.7374, decode.d7.loss_mask: 0.7319, decode.d7.loss_dice: 1.1686, decode.d8.loss_cls: 0.7337, decode.d8.loss_mask: 0.7331, decode.d8.loss_dice: 1.1736, loss: 28.7458 2022-09-13 13:12:05,666 - mmseg - INFO - Iter [61850/80000] lr: 3.258e-07, eta: 9:44:15, time: 1.854, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7239, decode.loss_mask: 0.7379, decode.loss_dice: 1.1405, decode.d0.loss_cls: 2.4590, decode.d0.loss_mask: 0.7635, decode.d0.loss_dice: 1.3176, decode.d1.loss_cls: 0.7969, decode.d1.loss_mask: 0.7704, decode.d1.loss_dice: 1.2437, decode.d2.loss_cls: 0.7467, decode.d2.loss_mask: 0.7659, decode.d2.loss_dice: 1.1918, decode.d3.loss_cls: 0.7383, decode.d3.loss_mask: 0.7474, decode.d3.loss_dice: 1.1689, decode.d4.loss_cls: 0.7347, decode.d4.loss_mask: 0.7425, decode.d4.loss_dice: 1.1609, decode.d5.loss_cls: 0.7320, decode.d5.loss_mask: 0.7406, decode.d5.loss_dice: 1.1558, decode.d6.loss_cls: 0.7292, decode.d6.loss_mask: 0.7391, decode.d6.loss_dice: 1.1384, decode.d7.loss_cls: 0.7264, decode.d7.loss_mask: 0.7368, decode.d7.loss_dice: 1.1408, decode.d8.loss_cls: 0.7230, decode.d8.loss_mask: 0.7362, decode.d8.loss_dice: 1.1438, loss: 28.3927 2022-09-13 13:13:39,184 - mmseg - INFO - Iter [61900/80000] lr: 3.249e-07, eta: 9:42:37, time: 1.870, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7641, decode.loss_mask: 0.7429, decode.loss_dice: 1.1563, decode.d0.loss_cls: 2.4976, decode.d0.loss_mask: 0.7742, decode.d0.loss_dice: 1.3543, decode.d1.loss_cls: 0.8439, decode.d1.loss_mask: 0.7833, decode.d1.loss_dice: 1.2546, decode.d2.loss_cls: 0.7874, decode.d2.loss_mask: 0.7653, decode.d2.loss_dice: 1.2132, decode.d3.loss_cls: 0.7773, decode.d3.loss_mask: 0.7532, decode.d3.loss_dice: 1.1889, decode.d4.loss_cls: 0.7687, decode.d4.loss_mask: 0.7509, decode.d4.loss_dice: 1.1809, decode.d5.loss_cls: 0.7670, decode.d5.loss_mask: 0.7461, decode.d5.loss_dice: 1.1739, decode.d6.loss_cls: 0.7640, decode.d6.loss_mask: 0.7445, decode.d6.loss_dice: 1.1661, decode.d7.loss_cls: 0.7641, decode.d7.loss_mask: 0.7419, decode.d7.loss_dice: 1.1627, decode.d8.loss_cls: 0.7561, decode.d8.loss_mask: 0.7436, decode.d8.loss_dice: 1.1658, loss: 29.0528 2022-09-13 13:15:11,306 - mmseg - INFO - Iter [61950/80000] lr: 3.240e-07, eta: 9:40:59, time: 1.842, data_time: 0.014, memory: 42763, decode.loss_cls: 0.6891, decode.loss_mask: 0.7511, decode.loss_dice: 1.1179, decode.d0.loss_cls: 2.3740, decode.d0.loss_mask: 0.7712, decode.d0.loss_dice: 1.2989, decode.d1.loss_cls: 0.7719, decode.d1.loss_mask: 0.7750, decode.d1.loss_dice: 1.2202, decode.d2.loss_cls: 0.7080, decode.d2.loss_mask: 0.7643, decode.d2.loss_dice: 1.1676, decode.d3.loss_cls: 0.7056, decode.d3.loss_mask: 0.7610, decode.d3.loss_dice: 1.1413, decode.d4.loss_cls: 0.7022, decode.d4.loss_mask: 0.7620, decode.d4.loss_dice: 1.1436, decode.d5.loss_cls: 0.6925, decode.d5.loss_mask: 0.7577, decode.d5.loss_dice: 1.1322, decode.d6.loss_cls: 0.6915, decode.d6.loss_mask: 0.7529, decode.d6.loss_dice: 1.1221, decode.d7.loss_cls: 0.6890, decode.d7.loss_mask: 0.7548, decode.d7.loss_dice: 1.1186, decode.d8.loss_cls: 0.6876, decode.d8.loss_mask: 0.7556, decode.d8.loss_dice: 1.1226, loss: 27.9023 2022-09-13 13:16:43,236 - mmseg - INFO - Saving checkpoint at 62000 iterations 2022-09-13 13:17:13,300 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 13:17:13,308 - mmseg - INFO - Iter [62000/80000] lr: 3.231e-07, eta: 9:39:30, time: 2.438, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7259, decode.loss_mask: 0.7034, decode.loss_dice: 1.1318, decode.d0.loss_cls: 2.4609, decode.d0.loss_mask: 0.7261, decode.d0.loss_dice: 1.3192, decode.d1.loss_cls: 0.8119, decode.d1.loss_mask: 0.7358, decode.d1.loss_dice: 1.2334, decode.d2.loss_cls: 0.7526, decode.d2.loss_mask: 0.7235, decode.d2.loss_dice: 1.1807, decode.d3.loss_cls: 0.7487, decode.d3.loss_mask: 0.7117, decode.d3.loss_dice: 1.1526, decode.d4.loss_cls: 0.7396, decode.d4.loss_mask: 0.7067, decode.d4.loss_dice: 1.1496, decode.d5.loss_cls: 0.7325, decode.d5.loss_mask: 0.7108, decode.d5.loss_dice: 1.1437, decode.d6.loss_cls: 0.7270, decode.d6.loss_mask: 0.7083, decode.d6.loss_dice: 1.1351, decode.d7.loss_cls: 0.7260, decode.d7.loss_mask: 0.7082, decode.d7.loss_dice: 1.1352, decode.d8.loss_cls: 0.7266, decode.d8.loss_mask: 0.7048, decode.d8.loss_dice: 1.1339, loss: 28.0062 2022-09-13 13:18:46,441 - mmseg - INFO - Iter [62050/80000] lr: 3.222e-07, eta: 9:37:52, time: 1.865, data_time: 0.017, memory: 42763, decode.loss_cls: 0.7549, decode.loss_mask: 0.7477, decode.loss_dice: 1.1786, decode.d0.loss_cls: 2.4236, decode.d0.loss_mask: 0.7751, decode.d0.loss_dice: 1.3614, decode.d1.loss_cls: 0.8142, decode.d1.loss_mask: 0.7933, decode.d1.loss_dice: 1.2791, decode.d2.loss_cls: 0.7780, decode.d2.loss_mask: 0.7683, decode.d2.loss_dice: 1.2250, decode.d3.loss_cls: 0.7616, decode.d3.loss_mask: 0.7583, decode.d3.loss_dice: 1.2013, decode.d4.loss_cls: 0.7555, decode.d4.loss_mask: 0.7570, decode.d4.loss_dice: 1.1959, decode.d5.loss_cls: 0.7561, decode.d5.loss_mask: 0.7529, decode.d5.loss_dice: 1.1900, decode.d6.loss_cls: 0.7502, decode.d6.loss_mask: 0.7500, decode.d6.loss_dice: 1.1829, decode.d7.loss_cls: 0.7500, decode.d7.loss_mask: 0.7484, decode.d7.loss_dice: 1.1826, decode.d8.loss_cls: 0.7525, decode.d8.loss_mask: 0.7480, decode.d8.loss_dice: 1.1822, loss: 29.0745 2022-09-13 13:20:19,402 - mmseg - INFO - Iter [62100/80000] lr: 3.213e-07, eta: 9:36:15, time: 1.859, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7211, decode.loss_mask: 0.7211, decode.loss_dice: 1.1455, decode.d0.loss_cls: 2.4094, decode.d0.loss_mask: 0.7435, decode.d0.loss_dice: 1.3343, decode.d1.loss_cls: 0.7982, decode.d1.loss_mask: 0.7558, decode.d1.loss_dice: 1.2447, decode.d2.loss_cls: 0.7443, decode.d2.loss_mask: 0.7347, decode.d2.loss_dice: 1.1880, decode.d3.loss_cls: 0.7294, decode.d3.loss_mask: 0.7308, decode.d3.loss_dice: 1.1671, decode.d4.loss_cls: 0.7219, decode.d4.loss_mask: 0.7267, decode.d4.loss_dice: 1.1640, decode.d5.loss_cls: 0.7213, decode.d5.loss_mask: 0.7214, decode.d5.loss_dice: 1.1549, decode.d6.loss_cls: 0.7245, decode.d6.loss_mask: 0.7214, decode.d6.loss_dice: 1.1442, decode.d7.loss_cls: 0.7179, decode.d7.loss_mask: 0.7208, decode.d7.loss_dice: 1.1484, decode.d8.loss_cls: 0.7209, decode.d8.loss_mask: 0.7175, decode.d8.loss_dice: 1.1441, loss: 28.1378 2022-09-13 13:21:52,455 - mmseg - INFO - Iter [62150/80000] lr: 3.204e-07, eta: 9:34:37, time: 1.862, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7440, decode.loss_mask: 0.7362, decode.loss_dice: 1.1874, decode.d0.loss_cls: 2.4444, decode.d0.loss_mask: 0.7485, decode.d0.loss_dice: 1.3732, decode.d1.loss_cls: 0.8280, decode.d1.loss_mask: 0.7645, decode.d1.loss_dice: 1.2840, decode.d2.loss_cls: 0.7823, decode.d2.loss_mask: 0.7477, decode.d2.loss_dice: 1.2246, decode.d3.loss_cls: 0.7672, decode.d3.loss_mask: 0.7368, decode.d3.loss_dice: 1.1998, decode.d4.loss_cls: 0.7561, decode.d4.loss_mask: 0.7357, decode.d4.loss_dice: 1.2022, decode.d5.loss_cls: 0.7521, decode.d5.loss_mask: 0.7318, decode.d5.loss_dice: 1.1938, decode.d6.loss_cls: 0.7516, decode.d6.loss_mask: 0.7316, decode.d6.loss_dice: 1.1769, decode.d7.loss_cls: 0.7453, decode.d7.loss_mask: 0.7329, decode.d7.loss_dice: 1.1774, decode.d8.loss_cls: 0.7484, decode.d8.loss_mask: 0.7286, decode.d8.loss_dice: 1.1833, loss: 28.9164 2022-09-13 13:23:25,363 - mmseg - INFO - Iter [62200/80000] lr: 3.195e-07, eta: 9:33:00, time: 1.858, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7377, decode.loss_mask: 0.7405, decode.loss_dice: 1.1581, decode.d0.loss_cls: 2.4477, decode.d0.loss_mask: 0.7532, decode.d0.loss_dice: 1.3320, decode.d1.loss_cls: 0.8274, decode.d1.loss_mask: 0.7739, decode.d1.loss_dice: 1.2501, decode.d2.loss_cls: 0.7606, decode.d2.loss_mask: 0.7621, decode.d2.loss_dice: 1.2014, decode.d3.loss_cls: 0.7476, decode.d3.loss_mask: 0.7549, decode.d3.loss_dice: 1.1728, decode.d4.loss_cls: 0.7432, decode.d4.loss_mask: 0.7497, decode.d4.loss_dice: 1.1749, decode.d5.loss_cls: 0.7408, decode.d5.loss_mask: 0.7515, decode.d5.loss_dice: 1.1696, decode.d6.loss_cls: 0.7372, decode.d6.loss_mask: 0.7415, decode.d6.loss_dice: 1.1575, decode.d7.loss_cls: 0.7311, decode.d7.loss_mask: 0.7405, decode.d7.loss_dice: 1.1555, decode.d8.loss_cls: 0.7381, decode.d8.loss_mask: 0.7405, decode.d8.loss_dice: 1.1552, loss: 28.6467 2022-09-13 13:24:58,607 - mmseg - INFO - Iter [62250/80000] lr: 3.186e-07, eta: 9:31:22, time: 1.865, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7358, decode.loss_mask: 0.7536, decode.loss_dice: 1.1339, decode.d0.loss_cls: 2.4358, decode.d0.loss_mask: 0.7812, decode.d0.loss_dice: 1.3311, decode.d1.loss_cls: 0.8103, decode.d1.loss_mask: 0.7873, decode.d1.loss_dice: 1.2453, decode.d2.loss_cls: 0.7642, decode.d2.loss_mask: 0.7731, decode.d2.loss_dice: 1.1930, decode.d3.loss_cls: 0.7517, decode.d3.loss_mask: 0.7688, decode.d3.loss_dice: 1.1605, decode.d4.loss_cls: 0.7406, decode.d4.loss_mask: 0.7677, decode.d4.loss_dice: 1.1556, decode.d5.loss_cls: 0.7401, decode.d5.loss_mask: 0.7594, decode.d5.loss_dice: 1.1509, decode.d6.loss_cls: 0.7357, decode.d6.loss_mask: 0.7590, decode.d6.loss_dice: 1.1433, decode.d7.loss_cls: 0.7371, decode.d7.loss_mask: 0.7559, decode.d7.loss_dice: 1.1408, decode.d8.loss_cls: 0.7371, decode.d8.loss_mask: 0.7512, decode.d8.loss_dice: 1.1336, loss: 28.6337 2022-09-13 13:26:31,626 - mmseg - INFO - Iter [62300/80000] lr: 3.177e-07, eta: 9:29:44, time: 1.860, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7329, decode.loss_mask: 0.7357, decode.loss_dice: 1.1479, decode.d0.loss_cls: 2.4526, decode.d0.loss_mask: 0.7619, decode.d0.loss_dice: 1.3301, decode.d1.loss_cls: 0.8045, decode.d1.loss_mask: 0.7721, decode.d1.loss_dice: 1.2487, decode.d2.loss_cls: 0.7565, decode.d2.loss_mask: 0.7569, decode.d2.loss_dice: 1.1939, decode.d3.loss_cls: 0.7511, decode.d3.loss_mask: 0.7465, decode.d3.loss_dice: 1.1688, decode.d4.loss_cls: 0.7446, decode.d4.loss_mask: 0.7442, decode.d4.loss_dice: 1.1658, decode.d5.loss_cls: 0.7365, decode.d5.loss_mask: 0.7481, decode.d5.loss_dice: 1.1639, decode.d6.loss_cls: 0.7330, decode.d6.loss_mask: 0.7390, decode.d6.loss_dice: 1.1504, decode.d7.loss_cls: 0.7276, decode.d7.loss_mask: 0.7394, decode.d7.loss_dice: 1.1526, decode.d8.loss_cls: 0.7307, decode.d8.loss_mask: 0.7392, decode.d8.loss_dice: 1.1540, loss: 28.5290 2022-09-13 13:28:04,422 - mmseg - INFO - Iter [62350/80000] lr: 3.168e-07, eta: 9:28:07, time: 1.856, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7131, decode.loss_mask: 0.7398, decode.loss_dice: 1.1202, decode.d0.loss_cls: 2.3939, decode.d0.loss_mask: 0.7594, decode.d0.loss_dice: 1.2971, decode.d1.loss_cls: 0.7912, decode.d1.loss_mask: 0.7761, decode.d1.loss_dice: 1.2132, decode.d2.loss_cls: 0.7428, decode.d2.loss_mask: 0.7616, decode.d2.loss_dice: 1.1702, decode.d3.loss_cls: 0.7276, decode.d3.loss_mask: 0.7529, decode.d3.loss_dice: 1.1487, decode.d4.loss_cls: 0.7209, decode.d4.loss_mask: 0.7517, decode.d4.loss_dice: 1.1466, decode.d5.loss_cls: 0.7098, decode.d5.loss_mask: 0.7509, decode.d5.loss_dice: 1.1422, decode.d6.loss_cls: 0.7068, decode.d6.loss_mask: 0.7454, decode.d6.loss_dice: 1.1263, decode.d7.loss_cls: 0.7130, decode.d7.loss_mask: 0.7431, decode.d7.loss_dice: 1.1264, decode.d8.loss_cls: 0.7109, decode.d8.loss_mask: 0.7448, decode.d8.loss_dice: 1.1260, loss: 28.0728 2022-09-13 13:29:38,334 - mmseg - INFO - Iter [62400/80000] lr: 3.159e-07, eta: 9:26:30, time: 1.878, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7649, decode.loss_mask: 0.7388, decode.loss_dice: 1.1703, decode.d0.loss_cls: 2.5171, decode.d0.loss_mask: 0.7626, decode.d0.loss_dice: 1.3550, decode.d1.loss_cls: 0.8323, decode.d1.loss_mask: 0.7807, decode.d1.loss_dice: 1.2722, decode.d2.loss_cls: 0.7859, decode.d2.loss_mask: 0.7630, decode.d2.loss_dice: 1.2123, decode.d3.loss_cls: 0.7724, decode.d3.loss_mask: 0.7496, decode.d3.loss_dice: 1.1900, decode.d4.loss_cls: 0.7694, decode.d4.loss_mask: 0.7472, decode.d4.loss_dice: 1.1839, decode.d5.loss_cls: 0.7597, decode.d5.loss_mask: 0.7466, decode.d5.loss_dice: 1.1813, decode.d6.loss_cls: 0.7608, decode.d6.loss_mask: 0.7421, decode.d6.loss_dice: 1.1751, decode.d7.loss_cls: 0.7613, decode.d7.loss_mask: 0.7401, decode.d7.loss_dice: 1.1698, decode.d8.loss_cls: 0.7617, decode.d8.loss_mask: 0.7402, decode.d8.loss_dice: 1.1741, loss: 29.0804 2022-09-13 13:31:11,723 - mmseg - INFO - Iter [62450/80000] lr: 3.150e-07, eta: 9:24:52, time: 1.867, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7755, decode.loss_mask: 0.7482, decode.loss_dice: 1.1426, decode.d0.loss_cls: 2.4697, decode.d0.loss_mask: 0.7736, decode.d0.loss_dice: 1.3406, decode.d1.loss_cls: 0.8496, decode.d1.loss_mask: 0.7776, decode.d1.loss_dice: 1.2398, decode.d2.loss_cls: 0.8058, decode.d2.loss_mask: 0.7665, decode.d2.loss_dice: 1.1888, decode.d3.loss_cls: 0.7876, decode.d3.loss_mask: 0.7632, decode.d3.loss_dice: 1.1738, decode.d4.loss_cls: 0.7779, decode.d4.loss_mask: 0.7539, decode.d4.loss_dice: 1.1678, decode.d5.loss_cls: 0.7722, decode.d5.loss_mask: 0.7519, decode.d5.loss_dice: 1.1578, decode.d6.loss_cls: 0.7683, decode.d6.loss_mask: 0.7537, decode.d6.loss_dice: 1.1509, decode.d7.loss_cls: 0.7669, decode.d7.loss_mask: 0.7496, decode.d7.loss_dice: 1.1443, decode.d8.loss_cls: 0.7705, decode.d8.loss_mask: 0.7461, decode.d8.loss_dice: 1.1431, loss: 28.9777 2022-09-13 13:32:44,683 - mmseg - INFO - Iter [62500/80000] lr: 3.141e-07, eta: 9:23:15, time: 1.860, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7186, decode.loss_mask: 0.7264, decode.loss_dice: 1.1319, decode.d0.loss_cls: 2.4412, decode.d0.loss_mask: 0.7505, decode.d0.loss_dice: 1.3255, decode.d1.loss_cls: 0.8115, decode.d1.loss_mask: 0.7643, decode.d1.loss_dice: 1.2371, decode.d2.loss_cls: 0.7520, decode.d2.loss_mask: 0.7468, decode.d2.loss_dice: 1.1760, decode.d3.loss_cls: 0.7420, decode.d3.loss_mask: 0.7385, decode.d3.loss_dice: 1.1467, decode.d4.loss_cls: 0.7287, decode.d4.loss_mask: 0.7361, decode.d4.loss_dice: 1.1405, decode.d5.loss_cls: 0.7253, decode.d5.loss_mask: 0.7306, decode.d5.loss_dice: 1.1357, decode.d6.loss_cls: 0.7223, decode.d6.loss_mask: 0.7325, decode.d6.loss_dice: 1.1262, decode.d7.loss_cls: 0.7173, decode.d7.loss_mask: 0.7308, decode.d7.loss_dice: 1.1355, decode.d8.loss_cls: 0.7155, decode.d8.loss_mask: 0.7278, decode.d8.loss_dice: 1.1296, loss: 28.1435 2022-09-13 13:34:18,137 - mmseg - INFO - Iter [62550/80000] lr: 3.132e-07, eta: 9:21:37, time: 1.869, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7412, decode.loss_mask: 0.7441, decode.loss_dice: 1.1371, decode.d0.loss_cls: 2.4832, decode.d0.loss_mask: 0.7740, decode.d0.loss_dice: 1.3319, decode.d1.loss_cls: 0.8217, decode.d1.loss_mask: 0.7816, decode.d1.loss_dice: 1.2360, decode.d2.loss_cls: 0.7665, decode.d2.loss_mask: 0.7662, decode.d2.loss_dice: 1.1816, decode.d3.loss_cls: 0.7598, decode.d3.loss_mask: 0.7565, decode.d3.loss_dice: 1.1563, decode.d4.loss_cls: 0.7532, decode.d4.loss_mask: 0.7512, decode.d4.loss_dice: 1.1485, decode.d5.loss_cls: 0.7497, decode.d5.loss_mask: 0.7488, decode.d5.loss_dice: 1.1419, decode.d6.loss_cls: 0.7425, decode.d6.loss_mask: 0.7468, decode.d6.loss_dice: 1.1301, decode.d7.loss_cls: 0.7409, decode.d7.loss_mask: 0.7430, decode.d7.loss_dice: 1.1356, decode.d8.loss_cls: 0.7416, decode.d8.loss_mask: 0.7446, decode.d8.loss_dice: 1.1364, loss: 28.5923 2022-09-13 13:35:51,124 - mmseg - INFO - Iter [62600/80000] lr: 3.123e-07, eta: 9:20:00, time: 1.860, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7356, decode.loss_mask: 0.7556, decode.loss_dice: 1.1617, decode.d0.loss_cls: 2.4697, decode.d0.loss_mask: 0.7728, decode.d0.loss_dice: 1.3438, decode.d1.loss_cls: 0.8195, decode.d1.loss_mask: 0.7806, decode.d1.loss_dice: 1.2609, decode.d2.loss_cls: 0.7631, decode.d2.loss_mask: 0.7724, decode.d2.loss_dice: 1.2039, decode.d3.loss_cls: 0.7624, decode.d3.loss_mask: 0.7590, decode.d3.loss_dice: 1.1791, decode.d4.loss_cls: 0.7490, decode.d4.loss_mask: 0.7601, decode.d4.loss_dice: 1.1792, decode.d5.loss_cls: 0.7467, decode.d5.loss_mask: 0.7578, decode.d5.loss_dice: 1.1710, decode.d6.loss_cls: 0.7456, decode.d6.loss_mask: 0.7541, decode.d6.loss_dice: 1.1589, decode.d7.loss_cls: 0.7404, decode.d7.loss_mask: 0.7549, decode.d7.loss_dice: 1.1599, decode.d8.loss_cls: 0.7395, decode.d8.loss_mask: 0.7551, decode.d8.loss_dice: 1.1611, loss: 28.8734 2022-09-13 13:37:23,641 - mmseg - INFO - Iter [62650/80000] lr: 3.114e-07, eta: 9:18:22, time: 1.850, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7318, decode.loss_mask: 0.7461, decode.loss_dice: 1.1390, decode.d0.loss_cls: 2.4422, decode.d0.loss_mask: 0.7659, decode.d0.loss_dice: 1.3225, decode.d1.loss_cls: 0.8054, decode.d1.loss_mask: 0.7792, decode.d1.loss_dice: 1.2460, decode.d2.loss_cls: 0.7593, decode.d2.loss_mask: 0.7641, decode.d2.loss_dice: 1.1883, decode.d3.loss_cls: 0.7429, decode.d3.loss_mask: 0.7552, decode.d3.loss_dice: 1.1642, decode.d4.loss_cls: 0.7406, decode.d4.loss_mask: 0.7499, decode.d4.loss_dice: 1.1579, decode.d5.loss_cls: 0.7356, decode.d5.loss_mask: 0.7476, decode.d5.loss_dice: 1.1589, decode.d6.loss_cls: 0.7333, decode.d6.loss_mask: 0.7447, decode.d6.loss_dice: 1.1438, decode.d7.loss_cls: 0.7296, decode.d7.loss_mask: 0.7498, decode.d7.loss_dice: 1.1456, decode.d8.loss_cls: 0.7280, decode.d8.loss_mask: 0.7483, decode.d8.loss_dice: 1.1480, loss: 28.5134 2022-09-13 13:38:56,674 - mmseg - INFO - Iter [62700/80000] lr: 3.105e-07, eta: 9:16:44, time: 1.861, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7069, decode.loss_mask: 0.7615, decode.loss_dice: 1.1604, decode.d0.loss_cls: 2.4330, decode.d0.loss_mask: 0.7780, decode.d0.loss_dice: 1.3361, decode.d1.loss_cls: 0.7941, decode.d1.loss_mask: 0.7904, decode.d1.loss_dice: 1.2348, decode.d2.loss_cls: 0.7429, decode.d2.loss_mask: 0.7731, decode.d2.loss_dice: 1.1875, decode.d3.loss_cls: 0.7272, decode.d3.loss_mask: 0.7647, decode.d3.loss_dice: 1.1727, decode.d4.loss_cls: 0.7229, decode.d4.loss_mask: 0.7663, decode.d4.loss_dice: 1.1668, decode.d5.loss_cls: 0.7092, decode.d5.loss_mask: 0.7679, decode.d5.loss_dice: 1.1617, decode.d6.loss_cls: 0.7032, decode.d6.loss_mask: 0.7645, decode.d6.loss_dice: 1.1580, decode.d7.loss_cls: 0.7012, decode.d7.loss_mask: 0.7640, decode.d7.loss_dice: 1.1594, decode.d8.loss_cls: 0.7015, decode.d8.loss_mask: 0.7656, decode.d8.loss_dice: 1.1599, loss: 28.5353 2022-09-13 13:40:29,013 - mmseg - INFO - Iter [62750/80000] lr: 3.096e-07, eta: 9:15:07, time: 1.847, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7392, decode.loss_mask: 0.7482, decode.loss_dice: 1.1727, decode.d0.loss_cls: 2.4949, decode.d0.loss_mask: 0.7801, decode.d0.loss_dice: 1.3676, decode.d1.loss_cls: 0.8200, decode.d1.loss_mask: 0.7911, decode.d1.loss_dice: 1.2790, decode.d2.loss_cls: 0.7753, decode.d2.loss_mask: 0.7702, decode.d2.loss_dice: 1.2229, decode.d3.loss_cls: 0.7606, decode.d3.loss_mask: 0.7638, decode.d3.loss_dice: 1.1974, decode.d4.loss_cls: 0.7496, decode.d4.loss_mask: 0.7605, decode.d4.loss_dice: 1.1975, decode.d5.loss_cls: 0.7445, decode.d5.loss_mask: 0.7554, decode.d5.loss_dice: 1.1900, decode.d6.loss_cls: 0.7421, decode.d6.loss_mask: 0.7528, decode.d6.loss_dice: 1.1742, decode.d7.loss_cls: 0.7422, decode.d7.loss_mask: 0.7492, decode.d7.loss_dice: 1.1774, decode.d8.loss_cls: 0.7385, decode.d8.loss_mask: 0.7466, decode.d8.loss_dice: 1.1758, loss: 29.0794 2022-09-13 13:42:00,010 - mmseg - INFO - Iter [62800/80000] lr: 3.087e-07, eta: 9:13:29, time: 1.820, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7301, decode.loss_mask: 0.7319, decode.loss_dice: 1.1453, decode.d0.loss_cls: 2.4136, decode.d0.loss_mask: 0.7481, decode.d0.loss_dice: 1.3186, decode.d1.loss_cls: 0.7951, decode.d1.loss_mask: 0.7686, decode.d1.loss_dice: 1.2404, decode.d2.loss_cls: 0.7526, decode.d2.loss_mask: 0.7531, decode.d2.loss_dice: 1.1898, decode.d3.loss_cls: 0.7393, decode.d3.loss_mask: 0.7509, decode.d3.loss_dice: 1.1650, decode.d4.loss_cls: 0.7305, decode.d4.loss_mask: 0.7469, decode.d4.loss_dice: 1.1671, decode.d5.loss_cls: 0.7277, decode.d5.loss_mask: 0.7376, decode.d5.loss_dice: 1.1628, decode.d6.loss_cls: 0.7305, decode.d6.loss_mask: 0.7343, decode.d6.loss_dice: 1.1456, decode.d7.loss_cls: 0.7281, decode.d7.loss_mask: 0.7337, decode.d7.loss_dice: 1.1471, decode.d8.loss_cls: 0.7261, decode.d8.loss_mask: 0.7344, decode.d8.loss_dice: 1.1440, loss: 28.3388 2022-09-13 13:43:31,870 - mmseg - INFO - Iter [62850/80000] lr: 3.078e-07, eta: 9:11:51, time: 1.836, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7369, decode.loss_mask: 0.7727, decode.loss_dice: 1.1564, decode.d0.loss_cls: 2.4466, decode.d0.loss_mask: 0.7815, decode.d0.loss_dice: 1.3218, decode.d1.loss_cls: 0.8254, decode.d1.loss_mask: 0.7987, decode.d1.loss_dice: 1.2539, decode.d2.loss_cls: 0.7697, decode.d2.loss_mask: 0.7830, decode.d2.loss_dice: 1.2131, decode.d3.loss_cls: 0.7548, decode.d3.loss_mask: 0.7813, decode.d3.loss_dice: 1.1793, decode.d4.loss_cls: 0.7432, decode.d4.loss_mask: 0.7777, decode.d4.loss_dice: 1.1810, decode.d5.loss_cls: 0.7373, decode.d5.loss_mask: 0.7745, decode.d5.loss_dice: 1.1803, decode.d6.loss_cls: 0.7379, decode.d6.loss_mask: 0.7704, decode.d6.loss_dice: 1.1674, decode.d7.loss_cls: 0.7324, decode.d7.loss_mask: 0.7704, decode.d7.loss_dice: 1.1642, decode.d8.loss_cls: 0.7351, decode.d8.loss_mask: 0.7703, decode.d8.loss_dice: 1.1606, loss: 28.9776 2022-09-13 13:45:05,067 - mmseg - INFO - Iter [62900/80000] lr: 3.069e-07, eta: 9:10:13, time: 1.865, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7329, decode.loss_mask: 0.7570, decode.loss_dice: 1.1295, decode.d0.loss_cls: 2.4047, decode.d0.loss_mask: 0.7772, decode.d0.loss_dice: 1.3118, decode.d1.loss_cls: 0.7996, decode.d1.loss_mask: 0.7929, decode.d1.loss_dice: 1.2339, decode.d2.loss_cls: 0.7550, decode.d2.loss_mask: 0.7783, decode.d2.loss_dice: 1.1834, decode.d3.loss_cls: 0.7448, decode.d3.loss_mask: 0.7653, decode.d3.loss_dice: 1.1582, decode.d4.loss_cls: 0.7406, decode.d4.loss_mask: 0.7630, decode.d4.loss_dice: 1.1587, decode.d5.loss_cls: 0.7383, decode.d5.loss_mask: 0.7617, decode.d5.loss_dice: 1.1518, decode.d6.loss_cls: 0.7268, decode.d6.loss_mask: 0.7601, decode.d6.loss_dice: 1.1394, decode.d7.loss_cls: 0.7317, decode.d7.loss_mask: 0.7582, decode.d7.loss_dice: 1.1384, decode.d8.loss_cls: 0.7277, decode.d8.loss_mask: 0.7585, decode.d8.loss_dice: 1.1394, loss: 28.5186 2022-09-13 13:46:37,445 - mmseg - INFO - Iter [62950/80000] lr: 3.060e-07, eta: 9:08:36, time: 1.848, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7502, decode.loss_mask: 0.7217, decode.loss_dice: 1.1629, decode.d0.loss_cls: 2.4874, decode.d0.loss_mask: 0.7465, decode.d0.loss_dice: 1.3571, decode.d1.loss_cls: 0.8466, decode.d1.loss_mask: 0.7551, decode.d1.loss_dice: 1.2590, decode.d2.loss_cls: 0.7818, decode.d2.loss_mask: 0.7426, decode.d2.loss_dice: 1.2148, decode.d3.loss_cls: 0.7683, decode.d3.loss_mask: 0.7353, decode.d3.loss_dice: 1.1861, decode.d4.loss_cls: 0.7632, decode.d4.loss_mask: 0.7311, decode.d4.loss_dice: 1.1839, decode.d5.loss_cls: 0.7525, decode.d5.loss_mask: 0.7301, decode.d5.loss_dice: 1.1790, decode.d6.loss_cls: 0.7517, decode.d6.loss_mask: 0.7254, decode.d6.loss_dice: 1.1615, decode.d7.loss_cls: 0.7482, decode.d7.loss_mask: 0.7258, decode.d7.loss_dice: 1.1653, decode.d8.loss_cls: 0.7442, decode.d8.loss_mask: 0.7231, decode.d8.loss_dice: 1.1653, loss: 28.7660 2022-09-13 13:48:10,101 - mmseg - INFO - Saving checkpoint at 63000 iterations 2022-09-13 13:48:40,103 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 13:48:40,113 - mmseg - INFO - Iter [63000/80000] lr: 3.051e-07, eta: 9:07:06, time: 2.447, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7518, decode.loss_mask: 0.7349, decode.loss_dice: 1.1225, decode.d0.loss_cls: 2.4934, decode.d0.loss_mask: 0.7571, decode.d0.loss_dice: 1.3238, decode.d1.loss_cls: 0.8382, decode.d1.loss_mask: 0.7690, decode.d1.loss_dice: 1.2217, decode.d2.loss_cls: 0.7829, decode.d2.loss_mask: 0.7587, decode.d2.loss_dice: 1.1727, decode.d3.loss_cls: 0.7721, decode.d3.loss_mask: 0.7421, decode.d3.loss_dice: 1.1511, decode.d4.loss_cls: 0.7588, decode.d4.loss_mask: 0.7404, decode.d4.loss_dice: 1.1460, decode.d5.loss_cls: 0.7596, decode.d5.loss_mask: 0.7390, decode.d5.loss_dice: 1.1392, decode.d6.loss_cls: 0.7539, decode.d6.loss_mask: 0.7342, decode.d6.loss_dice: 1.1205, decode.d7.loss_cls: 0.7481, decode.d7.loss_mask: 0.7358, decode.d7.loss_dice: 1.1271, decode.d8.loss_cls: 0.7499, decode.d8.loss_mask: 0.7360, decode.d8.loss_dice: 1.1257, loss: 28.5061 2022-09-13 13:50:12,465 - mmseg - INFO - Iter [63050/80000] lr: 3.042e-07, eta: 9:05:29, time: 1.854, data_time: 0.021, memory: 42763, decode.loss_cls: 0.7348, decode.loss_mask: 0.7680, decode.loss_dice: 1.1155, decode.d0.loss_cls: 2.4254, decode.d0.loss_mask: 0.7860, decode.d0.loss_dice: 1.3115, decode.d1.loss_cls: 0.8148, decode.d1.loss_mask: 0.8002, decode.d1.loss_dice: 1.2182, decode.d2.loss_cls: 0.7635, decode.d2.loss_mask: 0.7836, decode.d2.loss_dice: 1.1609, decode.d3.loss_cls: 0.7566, decode.d3.loss_mask: 0.7764, decode.d3.loss_dice: 1.1405, decode.d4.loss_cls: 0.7470, decode.d4.loss_mask: 0.7706, decode.d4.loss_dice: 1.1314, decode.d5.loss_cls: 0.7418, decode.d5.loss_mask: 0.7713, decode.d5.loss_dice: 1.1240, decode.d6.loss_cls: 0.7407, decode.d6.loss_mask: 0.7659, decode.d6.loss_dice: 1.1160, decode.d7.loss_cls: 0.7356, decode.d7.loss_mask: 0.7675, decode.d7.loss_dice: 1.1216, decode.d8.loss_cls: 0.7322, decode.d8.loss_mask: 0.7705, decode.d8.loss_dice: 1.1201, loss: 28.5121 2022-09-13 13:51:45,353 - mmseg - INFO - Iter [63100/80000] lr: 3.033e-07, eta: 9:03:51, time: 1.856, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7488, decode.loss_mask: 0.7427, decode.loss_dice: 1.1369, decode.d0.loss_cls: 2.4741, decode.d0.loss_mask: 0.7670, decode.d0.loss_dice: 1.3185, decode.d1.loss_cls: 0.8323, decode.d1.loss_mask: 0.7750, decode.d1.loss_dice: 1.2320, decode.d2.loss_cls: 0.7811, decode.d2.loss_mask: 0.7562, decode.d2.loss_dice: 1.1865, decode.d3.loss_cls: 0.7721, decode.d3.loss_mask: 0.7523, decode.d3.loss_dice: 1.1583, decode.d4.loss_cls: 0.7667, decode.d4.loss_mask: 0.7500, decode.d4.loss_dice: 1.1559, decode.d5.loss_cls: 0.7550, decode.d5.loss_mask: 0.7488, decode.d5.loss_dice: 1.1537, decode.d6.loss_cls: 0.7499, decode.d6.loss_mask: 0.7452, decode.d6.loss_dice: 1.1428, decode.d7.loss_cls: 0.7468, decode.d7.loss_mask: 0.7477, decode.d7.loss_dice: 1.1395, decode.d8.loss_cls: 0.7465, decode.d8.loss_mask: 0.7417, decode.d8.loss_dice: 1.1432, loss: 28.6674 2022-09-13 13:53:19,197 - mmseg - INFO - Iter [63150/80000] lr: 3.024e-07, eta: 9:02:14, time: 1.879, data_time: 0.017, memory: 42763, decode.loss_cls: 0.7311, decode.loss_mask: 0.7432, decode.loss_dice: 1.1427, decode.d0.loss_cls: 2.4668, decode.d0.loss_mask: 0.7743, decode.d0.loss_dice: 1.3327, decode.d1.loss_cls: 0.8234, decode.d1.loss_mask: 0.7748, decode.d1.loss_dice: 1.2400, decode.d2.loss_cls: 0.7614, decode.d2.loss_mask: 0.7603, decode.d2.loss_dice: 1.1750, decode.d3.loss_cls: 0.7497, decode.d3.loss_mask: 0.7514, decode.d3.loss_dice: 1.1567, decode.d4.loss_cls: 0.7471, decode.d4.loss_mask: 0.7521, decode.d4.loss_dice: 1.1598, decode.d5.loss_cls: 0.7337, decode.d5.loss_mask: 0.7491, decode.d5.loss_dice: 1.1531, decode.d6.loss_cls: 0.7385, decode.d6.loss_mask: 0.7481, decode.d6.loss_dice: 1.1426, decode.d7.loss_cls: 0.7352, decode.d7.loss_mask: 0.7448, decode.d7.loss_dice: 1.1360, decode.d8.loss_cls: 0.7322, decode.d8.loss_mask: 0.7458, decode.d8.loss_dice: 1.1356, loss: 28.5372 2022-09-13 13:54:51,174 - mmseg - INFO - Iter [63200/80000] lr: 3.015e-07, eta: 9:00:36, time: 1.839, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7110, decode.loss_mask: 0.7422, decode.loss_dice: 1.1518, decode.d0.loss_cls: 2.3717, decode.d0.loss_mask: 0.7699, decode.d0.loss_dice: 1.3287, decode.d1.loss_cls: 0.7826, decode.d1.loss_mask: 0.7775, decode.d1.loss_dice: 1.2473, decode.d2.loss_cls: 0.7412, decode.d2.loss_mask: 0.7586, decode.d2.loss_dice: 1.1917, decode.d3.loss_cls: 0.7282, decode.d3.loss_mask: 0.7483, decode.d3.loss_dice: 1.1741, decode.d4.loss_cls: 0.7204, decode.d4.loss_mask: 0.7493, decode.d4.loss_dice: 1.1667, decode.d5.loss_cls: 0.7168, decode.d5.loss_mask: 0.7472, decode.d5.loss_dice: 1.1609, decode.d6.loss_cls: 0.7159, decode.d6.loss_mask: 0.7399, decode.d6.loss_dice: 1.1452, decode.d7.loss_cls: 0.7062, decode.d7.loss_mask: 0.7454, decode.d7.loss_dice: 1.1570, decode.d8.loss_cls: 0.7105, decode.d8.loss_mask: 0.7450, decode.d8.loss_dice: 1.1568, loss: 28.3082 2022-09-13 13:56:24,328 - mmseg - INFO - Iter [63250/80000] lr: 3.006e-07, eta: 8:58:59, time: 1.863, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7536, decode.loss_mask: 0.7334, decode.loss_dice: 1.1551, decode.d0.loss_cls: 2.4399, decode.d0.loss_mask: 0.7573, decode.d0.loss_dice: 1.3463, decode.d1.loss_cls: 0.8424, decode.d1.loss_mask: 0.7595, decode.d1.loss_dice: 1.2504, decode.d2.loss_cls: 0.7865, decode.d2.loss_mask: 0.7469, decode.d2.loss_dice: 1.1977, decode.d3.loss_cls: 0.7729, decode.d3.loss_mask: 0.7402, decode.d3.loss_dice: 1.1794, decode.d4.loss_cls: 0.7662, decode.d4.loss_mask: 0.7392, decode.d4.loss_dice: 1.1677, decode.d5.loss_cls: 0.7600, decode.d5.loss_mask: 0.7377, decode.d5.loss_dice: 1.1651, decode.d6.loss_cls: 0.7582, decode.d6.loss_mask: 0.7339, decode.d6.loss_dice: 1.1634, decode.d7.loss_cls: 0.7522, decode.d7.loss_mask: 0.7377, decode.d7.loss_dice: 1.1621, decode.d8.loss_cls: 0.7543, decode.d8.loss_mask: 0.7309, decode.d8.loss_dice: 1.1581, loss: 28.7482 2022-09-13 13:57:57,638 - mmseg - INFO - Iter [63300/80000] lr: 2.997e-07, eta: 8:57:21, time: 1.866, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7571, decode.loss_mask: 0.7331, decode.loss_dice: 1.1193, decode.d0.loss_cls: 2.4799, decode.d0.loss_mask: 0.7546, decode.d0.loss_dice: 1.3151, decode.d1.loss_cls: 0.8322, decode.d1.loss_mask: 0.7632, decode.d1.loss_dice: 1.2189, decode.d2.loss_cls: 0.7821, decode.d2.loss_mask: 0.7461, decode.d2.loss_dice: 1.1585, decode.d3.loss_cls: 0.7716, decode.d3.loss_mask: 0.7405, decode.d3.loss_dice: 1.1420, decode.d4.loss_cls: 0.7609, decode.d4.loss_mask: 0.7331, decode.d4.loss_dice: 1.1411, decode.d5.loss_cls: 0.7516, decode.d5.loss_mask: 0.7365, decode.d5.loss_dice: 1.1313, decode.d6.loss_cls: 0.7527, decode.d6.loss_mask: 0.7326, decode.d6.loss_dice: 1.1198, decode.d7.loss_cls: 0.7511, decode.d7.loss_mask: 0.7326, decode.d7.loss_dice: 1.1231, decode.d8.loss_cls: 0.7500, decode.d8.loss_mask: 0.7296, decode.d8.loss_dice: 1.1196, loss: 28.3800 2022-09-13 13:59:29,986 - mmseg - INFO - Iter [63350/80000] lr: 2.988e-07, eta: 8:55:44, time: 1.847, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7638, decode.loss_mask: 0.7470, decode.loss_dice: 1.1615, decode.d0.loss_cls: 2.5074, decode.d0.loss_mask: 0.7623, decode.d0.loss_dice: 1.3519, decode.d1.loss_cls: 0.8493, decode.d1.loss_mask: 0.7758, decode.d1.loss_dice: 1.2664, decode.d2.loss_cls: 0.7946, decode.d2.loss_mask: 0.7678, decode.d2.loss_dice: 1.2142, decode.d3.loss_cls: 0.7793, decode.d3.loss_mask: 0.7590, decode.d3.loss_dice: 1.1907, decode.d4.loss_cls: 0.7690, decode.d4.loss_mask: 0.7552, decode.d4.loss_dice: 1.1834, decode.d5.loss_cls: 0.7696, decode.d5.loss_mask: 0.7500, decode.d5.loss_dice: 1.1811, decode.d6.loss_cls: 0.7682, decode.d6.loss_mask: 0.7484, decode.d6.loss_dice: 1.1708, decode.d7.loss_cls: 0.7638, decode.d7.loss_mask: 0.7468, decode.d7.loss_dice: 1.1697, decode.d8.loss_cls: 0.7617, decode.d8.loss_mask: 0.7453, decode.d8.loss_dice: 1.1726, loss: 29.1464 2022-09-13 14:01:03,587 - mmseg - INFO - Iter [63400/80000] lr: 2.979e-07, eta: 8:54:06, time: 1.872, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7382, decode.loss_mask: 0.7497, decode.loss_dice: 1.1500, decode.d0.loss_cls: 2.4860, decode.d0.loss_mask: 0.7595, decode.d0.loss_dice: 1.3269, decode.d1.loss_cls: 0.8121, decode.d1.loss_mask: 0.7835, decode.d1.loss_dice: 1.2449, decode.d2.loss_cls: 0.7613, decode.d2.loss_mask: 0.7712, decode.d2.loss_dice: 1.1970, decode.d3.loss_cls: 0.7579, decode.d3.loss_mask: 0.7578, decode.d3.loss_dice: 1.1677, decode.d4.loss_cls: 0.7539, decode.d4.loss_mask: 0.7530, decode.d4.loss_dice: 1.1640, decode.d5.loss_cls: 0.7455, decode.d5.loss_mask: 0.7538, decode.d5.loss_dice: 1.1573, decode.d6.loss_cls: 0.7473, decode.d6.loss_mask: 0.7492, decode.d6.loss_dice: 1.1492, decode.d7.loss_cls: 0.7419, decode.d7.loss_mask: 0.7502, decode.d7.loss_dice: 1.1462, decode.d8.loss_cls: 0.7384, decode.d8.loss_mask: 0.7495, decode.d8.loss_dice: 1.1524, loss: 28.7155 2022-09-13 14:02:37,276 - mmseg - INFO - Iter [63450/80000] lr: 2.970e-07, eta: 8:52:29, time: 1.874, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7238, decode.loss_mask: 0.7207, decode.loss_dice: 1.1113, decode.d0.loss_cls: 2.4348, decode.d0.loss_mask: 0.7415, decode.d0.loss_dice: 1.2956, decode.d1.loss_cls: 0.8107, decode.d1.loss_mask: 0.7603, decode.d1.loss_dice: 1.2118, decode.d2.loss_cls: 0.7590, decode.d2.loss_mask: 0.7326, decode.d2.loss_dice: 1.1635, decode.d3.loss_cls: 0.7503, decode.d3.loss_mask: 0.7266, decode.d3.loss_dice: 1.1342, decode.d4.loss_cls: 0.7354, decode.d4.loss_mask: 0.7253, decode.d4.loss_dice: 1.1295, decode.d5.loss_cls: 0.7293, decode.d5.loss_mask: 0.7203, decode.d5.loss_dice: 1.1244, decode.d6.loss_cls: 0.7286, decode.d6.loss_mask: 0.7177, decode.d6.loss_dice: 1.1116, decode.d7.loss_cls: 0.7251, decode.d7.loss_mask: 0.7214, decode.d7.loss_dice: 1.1139, decode.d8.loss_cls: 0.7228, decode.d8.loss_mask: 0.7225, decode.d8.loss_dice: 1.1137, loss: 27.9181 2022-09-13 14:04:10,272 - mmseg - INFO - Iter [63500/80000] lr: 2.962e-07, eta: 8:50:52, time: 1.860, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7113, decode.loss_mask: 0.7254, decode.loss_dice: 1.1257, decode.d0.loss_cls: 2.3809, decode.d0.loss_mask: 0.7465, decode.d0.loss_dice: 1.3148, decode.d1.loss_cls: 0.7843, decode.d1.loss_mask: 0.7609, decode.d1.loss_dice: 1.2219, decode.d2.loss_cls: 0.7416, decode.d2.loss_mask: 0.7406, decode.d2.loss_dice: 1.1758, decode.d3.loss_cls: 0.7306, decode.d3.loss_mask: 0.7327, decode.d3.loss_dice: 1.1450, decode.d4.loss_cls: 0.7202, decode.d4.loss_mask: 0.7331, decode.d4.loss_dice: 1.1445, decode.d5.loss_cls: 0.7170, decode.d5.loss_mask: 0.7271, decode.d5.loss_dice: 1.1421, decode.d6.loss_cls: 0.7071, decode.d6.loss_mask: 0.7272, decode.d6.loss_dice: 1.1324, decode.d7.loss_cls: 0.7101, decode.d7.loss_mask: 0.7259, decode.d7.loss_dice: 1.1293, decode.d8.loss_cls: 0.7079, decode.d8.loss_mask: 0.7252, decode.d8.loss_dice: 1.1302, loss: 27.9173 2022-09-13 14:05:42,168 - mmseg - INFO - Iter [63550/80000] lr: 2.953e-07, eta: 8:49:14, time: 1.837, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7231, decode.loss_mask: 0.7604, decode.loss_dice: 1.1379, decode.d0.loss_cls: 2.4543, decode.d0.loss_mask: 0.7803, decode.d0.loss_dice: 1.3174, decode.d1.loss_cls: 0.8156, decode.d1.loss_mask: 0.7873, decode.d1.loss_dice: 1.2265, decode.d2.loss_cls: 0.7592, decode.d2.loss_mask: 0.7773, decode.d2.loss_dice: 1.1782, decode.d3.loss_cls: 0.7393, decode.d3.loss_mask: 0.7710, decode.d3.loss_dice: 1.1542, decode.d4.loss_cls: 0.7365, decode.d4.loss_mask: 0.7637, decode.d4.loss_dice: 1.1532, decode.d5.loss_cls: 0.7314, decode.d5.loss_mask: 0.7619, decode.d5.loss_dice: 1.1450, decode.d6.loss_cls: 0.7233, decode.d6.loss_mask: 0.7599, decode.d6.loss_dice: 1.1383, decode.d7.loss_cls: 0.7195, decode.d7.loss_mask: 0.7600, decode.d7.loss_dice: 1.1349, decode.d8.loss_cls: 0.7172, decode.d8.loss_mask: 0.7593, decode.d8.loss_dice: 1.1314, loss: 28.5175 2022-09-13 14:07:15,958 - mmseg - INFO - Iter [63600/80000] lr: 2.944e-07, eta: 8:47:37, time: 1.876, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7379, decode.loss_mask: 0.7395, decode.loss_dice: 1.1378, decode.d0.loss_cls: 2.4814, decode.d0.loss_mask: 0.7595, decode.d0.loss_dice: 1.3216, decode.d1.loss_cls: 0.8210, decode.d1.loss_mask: 0.7724, decode.d1.loss_dice: 1.2227, decode.d2.loss_cls: 0.7729, decode.d2.loss_mask: 0.7629, decode.d2.loss_dice: 1.1859, decode.d3.loss_cls: 0.7612, decode.d3.loss_mask: 0.7515, decode.d3.loss_dice: 1.1534, decode.d4.loss_cls: 0.7518, decode.d4.loss_mask: 0.7511, decode.d4.loss_dice: 1.1523, decode.d5.loss_cls: 0.7483, decode.d5.loss_mask: 0.7446, decode.d5.loss_dice: 1.1457, decode.d6.loss_cls: 0.7396, decode.d6.loss_mask: 0.7432, decode.d6.loss_dice: 1.1450, decode.d7.loss_cls: 0.7357, decode.d7.loss_mask: 0.7423, decode.d7.loss_dice: 1.1426, decode.d8.loss_cls: 0.7343, decode.d8.loss_mask: 0.7413, decode.d8.loss_dice: 1.1415, loss: 28.5407 2022-09-13 14:08:47,197 - mmseg - INFO - Iter [63650/80000] lr: 2.935e-07, eta: 8:45:59, time: 1.825, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7468, decode.loss_mask: 0.7326, decode.loss_dice: 1.1735, decode.d0.loss_cls: 2.5096, decode.d0.loss_mask: 0.7600, decode.d0.loss_dice: 1.3628, decode.d1.loss_cls: 0.8253, decode.d1.loss_mask: 0.7711, decode.d1.loss_dice: 1.2722, decode.d2.loss_cls: 0.7785, decode.d2.loss_mask: 0.7411, decode.d2.loss_dice: 1.2148, decode.d3.loss_cls: 0.7710, decode.d3.loss_mask: 0.7358, decode.d3.loss_dice: 1.1907, decode.d4.loss_cls: 0.7571, decode.d4.loss_mask: 0.7370, decode.d4.loss_dice: 1.1946, decode.d5.loss_cls: 0.7504, decode.d5.loss_mask: 0.7380, decode.d5.loss_dice: 1.1889, decode.d6.loss_cls: 0.7534, decode.d6.loss_mask: 0.7332, decode.d6.loss_dice: 1.1774, decode.d7.loss_cls: 0.7444, decode.d7.loss_mask: 0.7348, decode.d7.loss_dice: 1.1773, decode.d8.loss_cls: 0.7484, decode.d8.loss_mask: 0.7315, decode.d8.loss_dice: 1.1789, loss: 28.9311 2022-09-13 14:10:20,670 - mmseg - INFO - Iter [63700/80000] lr: 2.926e-07, eta: 8:44:21, time: 1.869, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7635, decode.loss_mask: 0.7460, decode.loss_dice: 1.1800, decode.d0.loss_cls: 2.5006, decode.d0.loss_mask: 0.7704, decode.d0.loss_dice: 1.3688, decode.d1.loss_cls: 0.8524, decode.d1.loss_mask: 0.7760, decode.d1.loss_dice: 1.2757, decode.d2.loss_cls: 0.7961, decode.d2.loss_mask: 0.7638, decode.d2.loss_dice: 1.2300, decode.d3.loss_cls: 0.7828, decode.d3.loss_mask: 0.7619, decode.d3.loss_dice: 1.2037, decode.d4.loss_cls: 0.7774, decode.d4.loss_mask: 0.7572, decode.d4.loss_dice: 1.1990, decode.d5.loss_cls: 0.7738, decode.d5.loss_mask: 0.7518, decode.d5.loss_dice: 1.1929, decode.d6.loss_cls: 0.7643, decode.d6.loss_mask: 0.7500, decode.d6.loss_dice: 1.1839, decode.d7.loss_cls: 0.7612, decode.d7.loss_mask: 0.7473, decode.d7.loss_dice: 1.1868, decode.d8.loss_cls: 0.7628, decode.d8.loss_mask: 0.7466, decode.d8.loss_dice: 1.1887, loss: 29.3154 2022-09-13 14:11:53,183 - mmseg - INFO - Iter [63750/80000] lr: 2.917e-07, eta: 8:42:44, time: 1.850, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7224, decode.loss_mask: 0.7446, decode.loss_dice: 1.1220, decode.d0.loss_cls: 2.4337, decode.d0.loss_mask: 0.7683, decode.d0.loss_dice: 1.3028, decode.d1.loss_cls: 0.8141, decode.d1.loss_mask: 0.7734, decode.d1.loss_dice: 1.2188, decode.d2.loss_cls: 0.7649, decode.d2.loss_mask: 0.7529, decode.d2.loss_dice: 1.1651, decode.d3.loss_cls: 0.7478, decode.d3.loss_mask: 0.7436, decode.d3.loss_dice: 1.1362, decode.d4.loss_cls: 0.7427, decode.d4.loss_mask: 0.7419, decode.d4.loss_dice: 1.1312, decode.d5.loss_cls: 0.7309, decode.d5.loss_mask: 0.7452, decode.d5.loss_dice: 1.1271, decode.d6.loss_cls: 0.7291, decode.d6.loss_mask: 0.7425, decode.d6.loss_dice: 1.1197, decode.d7.loss_cls: 0.7283, decode.d7.loss_mask: 0.7418, decode.d7.loss_dice: 1.1264, decode.d8.loss_cls: 0.7211, decode.d8.loss_mask: 0.7456, decode.d8.loss_dice: 1.1201, loss: 28.2041 2022-09-13 14:13:24,562 - mmseg - INFO - Iter [63800/80000] lr: 2.908e-07, eta: 8:41:06, time: 1.828, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7431, decode.loss_mask: 0.7365, decode.loss_dice: 1.1476, decode.d0.loss_cls: 2.4554, decode.d0.loss_mask: 0.7496, decode.d0.loss_dice: 1.3278, decode.d1.loss_cls: 0.8192, decode.d1.loss_mask: 0.7686, decode.d1.loss_dice: 1.2434, decode.d2.loss_cls: 0.7737, decode.d2.loss_mask: 0.7577, decode.d2.loss_dice: 1.1920, decode.d3.loss_cls: 0.7620, decode.d3.loss_mask: 0.7450, decode.d3.loss_dice: 1.1648, decode.d4.loss_cls: 0.7510, decode.d4.loss_mask: 0.7412, decode.d4.loss_dice: 1.1605, decode.d5.loss_cls: 0.7456, decode.d5.loss_mask: 0.7386, decode.d5.loss_dice: 1.1589, decode.d6.loss_cls: 0.7460, decode.d6.loss_mask: 0.7339, decode.d6.loss_dice: 1.1483, decode.d7.loss_cls: 0.7382, decode.d7.loss_mask: 0.7367, decode.d7.loss_dice: 1.1479, decode.d8.loss_cls: 0.7426, decode.d8.loss_mask: 0.7348, decode.d8.loss_dice: 1.1443, loss: 28.5550 2022-09-13 14:14:57,138 - mmseg - INFO - Iter [63850/80000] lr: 2.899e-07, eta: 8:39:29, time: 1.852, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7133, decode.loss_mask: 0.7393, decode.loss_dice: 1.1319, decode.d0.loss_cls: 2.4103, decode.d0.loss_mask: 0.7612, decode.d0.loss_dice: 1.3103, decode.d1.loss_cls: 0.8033, decode.d1.loss_mask: 0.7690, decode.d1.loss_dice: 1.2210, decode.d2.loss_cls: 0.7376, decode.d2.loss_mask: 0.7531, decode.d2.loss_dice: 1.1804, decode.d3.loss_cls: 0.7325, decode.d3.loss_mask: 0.7506, decode.d3.loss_dice: 1.1582, decode.d4.loss_cls: 0.7263, decode.d4.loss_mask: 0.7505, decode.d4.loss_dice: 1.1546, decode.d5.loss_cls: 0.7188, decode.d5.loss_mask: 0.7432, decode.d5.loss_dice: 1.1498, decode.d6.loss_cls: 0.7258, decode.d6.loss_mask: 0.7380, decode.d6.loss_dice: 1.1382, decode.d7.loss_cls: 0.7173, decode.d7.loss_mask: 0.7365, decode.d7.loss_dice: 1.1367, decode.d8.loss_cls: 0.7119, decode.d8.loss_mask: 0.7388, decode.d8.loss_dice: 1.1325, loss: 28.1911 2022-09-13 14:16:29,512 - mmseg - INFO - Iter [63900/80000] lr: 2.890e-07, eta: 8:37:51, time: 1.847, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7310, decode.loss_mask: 0.7233, decode.loss_dice: 1.1242, decode.d0.loss_cls: 2.4329, decode.d0.loss_mask: 0.7489, decode.d0.loss_dice: 1.3186, decode.d1.loss_cls: 0.8241, decode.d1.loss_mask: 0.7583, decode.d1.loss_dice: 1.2172, decode.d2.loss_cls: 0.7747, decode.d2.loss_mask: 0.7384, decode.d2.loss_dice: 1.1737, decode.d3.loss_cls: 0.7607, decode.d3.loss_mask: 0.7330, decode.d3.loss_dice: 1.1472, decode.d4.loss_cls: 0.7503, decode.d4.loss_mask: 0.7327, decode.d4.loss_dice: 1.1493, decode.d5.loss_cls: 0.7494, decode.d5.loss_mask: 0.7242, decode.d5.loss_dice: 1.1405, decode.d6.loss_cls: 0.7384, decode.d6.loss_mask: 0.7287, decode.d6.loss_dice: 1.1265, decode.d7.loss_cls: 0.7381, decode.d7.loss_mask: 0.7253, decode.d7.loss_dice: 1.1220, decode.d8.loss_cls: 0.7329, decode.d8.loss_mask: 0.7275, decode.d8.loss_dice: 1.1285, loss: 28.2204 2022-09-13 14:18:02,454 - mmseg - INFO - Iter [63950/80000] lr: 2.881e-07, eta: 8:36:14, time: 1.859, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7321, decode.loss_mask: 0.7543, decode.loss_dice: 1.1218, decode.d0.loss_cls: 2.4314, decode.d0.loss_mask: 0.7793, decode.d0.loss_dice: 1.3236, decode.d1.loss_cls: 0.8210, decode.d1.loss_mask: 0.7941, decode.d1.loss_dice: 1.2194, decode.d2.loss_cls: 0.7605, decode.d2.loss_mask: 0.7704, decode.d2.loss_dice: 1.1813, decode.d3.loss_cls: 0.7549, decode.d3.loss_mask: 0.7591, decode.d3.loss_dice: 1.1495, decode.d4.loss_cls: 0.7453, decode.d4.loss_mask: 0.7560, decode.d4.loss_dice: 1.1440, decode.d5.loss_cls: 0.7337, decode.d5.loss_mask: 0.7539, decode.d5.loss_dice: 1.1432, decode.d6.loss_cls: 0.7283, decode.d6.loss_mask: 0.7559, decode.d6.loss_dice: 1.1327, decode.d7.loss_cls: 0.7312, decode.d7.loss_mask: 0.7547, decode.d7.loss_dice: 1.1334, decode.d8.loss_cls: 0.7323, decode.d8.loss_mask: 0.7510, decode.d8.loss_dice: 1.1285, loss: 28.4766 2022-09-13 14:19:34,900 - mmseg - INFO - Saving checkpoint at 64000 iterations 2022-09-13 14:20:05,792 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 14:20:05,799 - mmseg - INFO - Iter [64000/80000] lr: 2.872e-07, eta: 8:34:44, time: 2.464, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7791, decode.loss_mask: 0.7287, decode.loss_dice: 1.1734, decode.d0.loss_cls: 2.5380, decode.d0.loss_mask: 0.7519, decode.d0.loss_dice: 1.3756, decode.d1.loss_cls: 0.8461, decode.d1.loss_mask: 0.7633, decode.d1.loss_dice: 1.2682, decode.d2.loss_cls: 0.7918, decode.d2.loss_mask: 0.7509, decode.d2.loss_dice: 1.2259, decode.d3.loss_cls: 0.7803, decode.d3.loss_mask: 0.7437, decode.d3.loss_dice: 1.2000, decode.d4.loss_cls: 0.7824, decode.d4.loss_mask: 0.7410, decode.d4.loss_dice: 1.1970, decode.d5.loss_cls: 0.7767, decode.d5.loss_mask: 0.7373, decode.d5.loss_dice: 1.1973, decode.d6.loss_cls: 0.7742, decode.d6.loss_mask: 0.7328, decode.d6.loss_dice: 1.1828, decode.d7.loss_cls: 0.7709, decode.d7.loss_mask: 0.7329, decode.d7.loss_dice: 1.1841, decode.d8.loss_cls: 0.7658, decode.d8.loss_mask: 0.7320, decode.d8.loss_dice: 1.1809, loss: 29.2050 2022-09-13 14:25:02,594 - mmseg - INFO - per class results: 2022-09-13 14:25:02,608 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 88.35 | 94.27 | | bicycle | 77.47 | 87.87 | | car | 68.43 | 88.35 | | motorcycle | 86.33 | 91.21 | | airplane | 87.21 | 93.68 | | bus | 86.7 | 91.2 | | train | 84.8 | 95.92 | | truck | 69.82 | 82.18 | | boat | 75.08 | 87.76 | | traffic light | 74.24 | 88.41 | | fire hydrant | 92.17 | 96.28 | | stop sign | 91.3 | 98.42 | | parking meter | 76.89 | 87.99 | | bench | 58.83 | 75.41 | | bird | 85.22 | 93.04 | | cat | 83.93 | 90.24 | | dog | 80.16 | 86.92 | | horse | 83.86 | 94.7 | | sheep | 88.69 | 95.81 | | cow | 88.17 | 92.0 | | elephant | 93.2 | 96.74 | | bear | 93.44 | 96.29 | | zebra | 90.78 | 93.61 | | giraffe | 88.83 | 94.69 | | backpack | 41.82 | 72.71 | | umbrella | 89.35 | 94.57 | | handbag | 45.81 | 72.97 | | tie | 17.35 | 24.05 | | suitcase | 85.53 | 93.82 | | frisbee | 81.22 | 95.39 | | skis | 63.49 | 78.05 | | snowboard | 75.37 | 84.22 | | sports ball | 60.21 | 77.78 | | kite | 78.63 | 86.88 | | baseball bat | 48.31 | 87.23 | | baseball glove | 74.64 | 92.15 | | skateboard | 85.87 | 91.42 | | surfboard | 83.35 | 93.9 | | tennis racket | 88.6 | 93.95 | | bottle | 54.0 | 69.94 | | wine glass | 63.59 | 88.05 | | cup | 60.8 | 85.19 | | fork | 57.67 | 73.59 | | knife | 50.54 | 74.47 | | spoon | 46.4 | 68.79 | | bowl | 53.27 | 72.08 | | banana | 71.81 | 93.44 | | apple | 58.05 | 78.79 | | sandwich | 53.94 | 69.11 | | orange | 80.07 | 88.42 | | broccoli | 60.33 | 80.07 | | carrot | 55.71 | 65.79 | | hot dog | 58.85 | 71.37 | | pizza | 72.85 | 84.63 | | donut | 79.09 | 93.98 | | cake | 71.68 | 83.35 | | chair | 55.01 | 71.05 | | couch | 62.6 | 82.56 | | potted plant | 41.93 | 72.14 | | bed | 69.32 | 82.97 | | dining table | 45.53 | 74.46 | | toilet | 87.16 | 95.58 | | tv | 77.5 | 87.61 | | laptop | 80.47 | 90.99 | | mouse | 82.32 | 91.84 | | remote | 66.0 | 81.55 | | keyboard | 70.04 | 87.55 | | cell phone | 78.87 | 91.79 | | microwave | 73.39 | 83.59 | | oven | 61.71 | 86.77 | | toaster | 78.34 | 89.02 | | sink | 65.51 | 81.53 | | refrigerator | 81.94 | 92.45 | | book | 57.89 | 82.21 | | clock | 75.38 | 83.54 | | vase | 64.11 | 84.94 | | scissors | 82.3 | 93.56 | | teddy bear | 83.48 | 94.23 | | hair drier | 47.34 | 61.21 | | toothbrush | 61.99 | 86.06 | | banner | 32.66 | 56.96 | | blanket | 8.28 | 11.53 | | branch | 21.21 | 36.13 | | bridge | 45.67 | 69.45 | | building-other | 54.05 | 69.85 | | bush | 35.86 | 49.86 | | cabinet | 48.62 | 61.05 | | cage | 20.42 | 27.46 | | cardboard | 50.13 | 64.44 | | carpet | 52.77 | 73.97 | | ceiling-other | 69.09 | 84.61 | | ceiling-tile | 0.0 | 0.0 | | cloth | 3.67 | 3.68 | | clothes | 24.6 | 35.05 | | clouds | 49.17 | 66.8 | | counter | 33.23 | 52.8 | | cupboard | 2.45 | 9.31 | | curtain | 72.5 | 83.55 | | desk-stuff | 44.21 | 56.97 | | dirt | 42.55 | 63.11 | | door-stuff | 48.19 | 73.11 | | fence | 34.34 | 58.95 | | floor-marble | 9.14 | 10.5 | | floor-other | 23.9 | 31.94 | | floor-stone | 7.56 | 10.51 | | floor-tile | 65.3 | 78.98 | | floor-wood | 66.91 | 81.95 | | flower | 40.19 | 52.36 | | fog | 4.96 | 5.22 | | food-other | 31.55 | 38.34 | | fruit | 50.81 | 72.97 | | furniture-other | 21.55 | 30.39 | | grass | 71.27 | 84.02 | | gravel | 37.05 | 56.23 | | ground-other | 3.67 | 5.18 | | hill | 19.82 | 26.21 | | house | 24.14 | 28.92 | | leaves | 30.43 | 44.32 | | light | 42.26 | 61.55 | | mat | 0.28 | 0.29 | | metal | 37.99 | 54.0 | | mirror-stuff | 65.65 | 83.54 | | moss | 0.0 | 0.0 | | mountain | 57.23 | 74.21 | | mud | 5.52 | 8.87 | | napkin | 8.78 | 11.36 | | net | 48.6 | 66.77 | | paper | 35.62 | 48.9 | | pavement | 53.61 | 67.47 | | pillow | 20.15 | 34.32 | | plant-other | 22.07 | 38.01 | | plastic | 29.91 | 42.73 | | platform | 29.99 | 47.29 | | playingfield | 67.69 | 87.24 | | railing | 10.85 | 23.73 | | railroad | 62.77 | 78.21 | | river | 49.48 | 63.78 | | road | 69.34 | 86.02 | | rock | 44.7 | 60.76 | | roof | 27.33 | 37.22 | | rug | 32.45 | 52.9 | | salad | 9.41 | 11.34 | | sand | 67.01 | 73.01 | | sea | 86.09 | 91.94 | | shelf | 39.35 | 55.36 | | sky-other | 71.04 | 85.68 | | skyscraper | 38.01 | 49.03 | | snow | 90.94 | 94.56 | | solid-other | 0.0 | 0.0 | | stairs | 30.84 | 58.26 | | stone | 15.81 | 30.82 | | straw | 34.5 | 50.72 | | structural-other | 1.48 | 1.59 | | table | 21.03 | 26.82 | | tent | 10.26 | 12.24 | | textile-other | 18.43 | 36.16 | | towel | 40.82 | 50.74 | | tree | 74.98 | 86.71 | | vegetable | 44.91 | 63.87 | | wall-brick | 51.53 | 65.6 | | wall-concrete | 63.16 | 79.68 | | wall-other | 22.02 | 38.93 | | wall-panel | 3.28 | 3.93 | | wall-stone | 32.27 | 43.45 | | wall-tile | 73.07 | 87.24 | | wall-wood | 44.69 | 60.14 | | water-other | 33.35 | 53.65 | | waterdrops | 0.0 | 0.0 | | window-blind | 52.74 | 65.63 | | window-other | 50.12 | 71.18 | | wood | 29.36 | 47.59 | +------------------+-------+-------+ 2022-09-13 14:25:02,608 - mmseg - INFO - Summary: 2022-09-13 14:25:02,608 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 73.61 | 52.55 | 65.46 | +-------+-------+-------+ 2022-09-13 14:25:02,742 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/segmentation/work_dirs/mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss/best_mIoU_iter_56000.pth was removed 2022-09-13 14:25:32,226 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_64000.pth. 2022-09-13 14:25:32,236 - mmseg - INFO - Best mIoU is 0.5255 at 64000 iter. 2022-09-13 14:25:32,278 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 14:25:32,280 - mmseg - INFO - Iter(val) [313] aAcc: 0.7361, mIoU: 0.5255, mAcc: 0.6546, IoU.person: 0.8835, IoU.bicycle: 0.7747, IoU.car: 0.6843, IoU.motorcycle: 0.8633, IoU.airplane: 0.8721, IoU.bus: 0.8670, IoU.train: 0.8480, IoU.truck: 0.6982, IoU.boat: 0.7508, IoU.traffic light: 0.7424, IoU.fire hydrant: 0.9217, IoU.stop sign: 0.9130, IoU.parking meter: 0.7689, IoU.bench: 0.5883, IoU.bird: 0.8522, IoU.cat: 0.8393, IoU.dog: 0.8016, IoU.horse: 0.8386, IoU.sheep: 0.8869, IoU.cow: 0.8817, IoU.elephant: 0.9320, IoU.bear: 0.9344, IoU.zebra: 0.9078, IoU.giraffe: 0.8883, IoU.backpack: 0.4182, IoU.umbrella: 0.8935, IoU.handbag: 0.4581, IoU.tie: 0.1735, IoU.suitcase: 0.8553, IoU.frisbee: 0.8122, IoU.skis: 0.6349, IoU.snowboard: 0.7537, IoU.sports ball: 0.6021, IoU.kite: 0.7863, IoU.baseball bat: 0.4831, IoU.baseball glove: 0.7464, IoU.skateboard: 0.8587, IoU.surfboard: 0.8335, IoU.tennis racket: 0.8860, IoU.bottle: 0.5400, IoU.wine glass: 0.6359, IoU.cup: 0.6080, IoU.fork: 0.5767, IoU.knife: 0.5054, IoU.spoon: 0.4640, IoU.bowl: 0.5327, IoU.banana: 0.7181, IoU.apple: 0.5805, IoU.sandwich: 0.5394, IoU.orange: 0.8007, IoU.broccoli: 0.6033, IoU.carrot: 0.5571, IoU.hot dog: 0.5885, IoU.pizza: 0.7285, IoU.donut: 0.7909, IoU.cake: 0.7168, IoU.chair: 0.5501, IoU.couch: 0.6260, IoU.potted plant: 0.4193, IoU.bed: 0.6932, IoU.dining table: 0.4553, IoU.toilet: 0.8716, IoU.tv: 0.7750, IoU.laptop: 0.8047, IoU.mouse: 0.8232, IoU.remote: 0.6600, IoU.keyboard: 0.7004, IoU.cell phone: 0.7887, IoU.microwave: 0.7339, IoU.oven: 0.6171, IoU.toaster: 0.7834, IoU.sink: 0.6551, IoU.refrigerator: 0.8194, IoU.book: 0.5789, IoU.clock: 0.7538, IoU.vase: 0.6411, IoU.scissors: 0.8230, IoU.teddy bear: 0.8348, IoU.hair drier: 0.4734, IoU.toothbrush: 0.6199, IoU.banner: 0.3266, IoU.blanket: 0.0828, IoU.branch: 0.2121, IoU.bridge: 0.4567, IoU.building-other: 0.5405, IoU.bush: 0.3586, IoU.cabinet: 0.4862, IoU.cage: 0.2042, IoU.cardboard: 0.5013, IoU.carpet: 0.5277, IoU.ceiling-other: 0.6909, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0367, IoU.clothes: 0.2460, IoU.clouds: 0.4917, IoU.counter: 0.3323, IoU.cupboard: 0.0245, IoU.curtain: 0.7250, IoU.desk-stuff: 0.4421, IoU.dirt: 0.4255, IoU.door-stuff: 0.4819, IoU.fence: 0.3434, IoU.floor-marble: 0.0914, IoU.floor-other: 0.2390, IoU.floor-stone: 0.0756, IoU.floor-tile: 0.6530, IoU.floor-wood: 0.6691, IoU.flower: 0.4019, IoU.fog: 0.0496, IoU.food-other: 0.3155, IoU.fruit: 0.5081, IoU.furniture-other: 0.2155, IoU.grass: 0.7127, IoU.gravel: 0.3705, IoU.ground-other: 0.0367, IoU.hill: 0.1982, IoU.house: 0.2414, IoU.leaves: 0.3043, IoU.light: 0.4226, IoU.mat: 0.0028, IoU.metal: 0.3799, IoU.mirror-stuff: 0.6565, IoU.moss: 0.0000, IoU.mountain: 0.5723, IoU.mud: 0.0552, IoU.napkin: 0.0878, IoU.net: 0.4860, IoU.paper: 0.3562, IoU.pavement: 0.5361, IoU.pillow: 0.2015, IoU.plant-other: 0.2207, IoU.plastic: 0.2991, IoU.platform: 0.2999, IoU.playingfield: 0.6769, IoU.railing: 0.1085, IoU.railroad: 0.6277, IoU.river: 0.4948, IoU.road: 0.6934, IoU.rock: 0.4470, IoU.roof: 0.2733, IoU.rug: 0.3245, IoU.salad: 0.0941, IoU.sand: 0.6701, IoU.sea: 0.8609, IoU.shelf: 0.3935, IoU.sky-other: 0.7104, IoU.skyscraper: 0.3801, IoU.snow: 0.9094, IoU.solid-other: 0.0000, IoU.stairs: 0.3084, IoU.stone: 0.1581, IoU.straw: 0.3450, IoU.structural-other: 0.0148, IoU.table: 0.2103, IoU.tent: 0.1026, IoU.textile-other: 0.1843, IoU.towel: 0.4082, IoU.tree: 0.7498, IoU.vegetable: 0.4491, IoU.wall-brick: 0.5153, IoU.wall-concrete: 0.6316, IoU.wall-other: 0.2202, IoU.wall-panel: 0.0328, IoU.wall-stone: 0.3227, IoU.wall-tile: 0.7307, IoU.wall-wood: 0.4469, IoU.water-other: 0.3335, IoU.waterdrops: 0.0000, IoU.window-blind: 0.5274, IoU.window-other: 0.5012, IoU.wood: 0.2936, Acc.person: 0.9427, Acc.bicycle: 0.8787, Acc.car: 0.8835, Acc.motorcycle: 0.9121, Acc.airplane: 0.9368, Acc.bus: 0.9120, Acc.train: 0.9592, Acc.truck: 0.8218, Acc.boat: 0.8776, Acc.traffic light: 0.8841, Acc.fire hydrant: 0.9628, Acc.stop sign: 0.9842, Acc.parking meter: 0.8799, Acc.bench: 0.7541, Acc.bird: 0.9304, Acc.cat: 0.9024, Acc.dog: 0.8692, Acc.horse: 0.9470, Acc.sheep: 0.9581, Acc.cow: 0.9200, Acc.elephant: 0.9674, Acc.bear: 0.9629, Acc.zebra: 0.9361, Acc.giraffe: 0.9469, Acc.backpack: 0.7271, Acc.umbrella: 0.9457, Acc.handbag: 0.7297, Acc.tie: 0.2405, Acc.suitcase: 0.9382, Acc.frisbee: 0.9539, Acc.skis: 0.7805, Acc.snowboard: 0.8422, Acc.sports ball: 0.7778, Acc.kite: 0.8688, Acc.baseball bat: 0.8723, Acc.baseball glove: 0.9215, Acc.skateboard: 0.9142, Acc.surfboard: 0.9390, Acc.tennis racket: 0.9395, Acc.bottle: 0.6994, Acc.wine glass: 0.8805, Acc.cup: 0.8519, Acc.fork: 0.7359, Acc.knife: 0.7447, Acc.spoon: 0.6879, Acc.bowl: 0.7208, Acc.banana: 0.9344, Acc.apple: 0.7879, Acc.sandwich: 0.6911, Acc.orange: 0.8842, Acc.broccoli: 0.8007, Acc.carrot: 0.6579, Acc.hot dog: 0.7137, Acc.pizza: 0.8463, Acc.donut: 0.9398, Acc.cake: 0.8335, Acc.chair: 0.7105, Acc.couch: 0.8256, Acc.potted plant: 0.7214, Acc.bed: 0.8297, Acc.dining table: 0.7446, Acc.toilet: 0.9558, Acc.tv: 0.8761, Acc.laptop: 0.9099, Acc.mouse: 0.9184, Acc.remote: 0.8155, Acc.keyboard: 0.8755, Acc.cell phone: 0.9179, Acc.microwave: 0.8359, Acc.oven: 0.8677, Acc.toaster: 0.8902, Acc.sink: 0.8153, Acc.refrigerator: 0.9245, Acc.book: 0.8221, Acc.clock: 0.8354, Acc.vase: 0.8494, Acc.scissors: 0.9356, Acc.teddy bear: 0.9423, Acc.hair drier: 0.6121, Acc.toothbrush: 0.8606, Acc.banner: 0.5696, Acc.blanket: 0.1153, Acc.branch: 0.3613, Acc.bridge: 0.6945, Acc.building-other: 0.6985, Acc.bush: 0.4986, Acc.cabinet: 0.6105, Acc.cage: 0.2746, Acc.cardboard: 0.6444, Acc.carpet: 0.7397, Acc.ceiling-other: 0.8461, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0368, Acc.clothes: 0.3505, Acc.clouds: 0.6680, Acc.counter: 0.5280, Acc.cupboard: 0.0931, Acc.curtain: 0.8355, Acc.desk-stuff: 0.5697, Acc.dirt: 0.6311, Acc.door-stuff: 0.7311, Acc.fence: 0.5895, Acc.floor-marble: 0.1050, Acc.floor-other: 0.3194, Acc.floor-stone: 0.1051, Acc.floor-tile: 0.7898, Acc.floor-wood: 0.8195, Acc.flower: 0.5236, Acc.fog: 0.0522, Acc.food-other: 0.3834, Acc.fruit: 0.7297, Acc.furniture-other: 0.3039, Acc.grass: 0.8402, Acc.gravel: 0.5623, Acc.ground-other: 0.0518, Acc.hill: 0.2621, Acc.house: 0.2892, Acc.leaves: 0.4432, Acc.light: 0.6155, Acc.mat: 0.0029, Acc.metal: 0.5400, Acc.mirror-stuff: 0.8354, Acc.moss: 0.0000, Acc.mountain: 0.7421, Acc.mud: 0.0887, Acc.napkin: 0.1136, Acc.net: 0.6677, Acc.paper: 0.4890, Acc.pavement: 0.6747, Acc.pillow: 0.3432, Acc.plant-other: 0.3801, Acc.plastic: 0.4273, Acc.platform: 0.4729, Acc.playingfield: 0.8724, Acc.railing: 0.2373, Acc.railroad: 0.7821, Acc.river: 0.6378, Acc.road: 0.8602, Acc.rock: 0.6076, Acc.roof: 0.3722, Acc.rug: 0.5290, Acc.salad: 0.1134, Acc.sand: 0.7301, Acc.sea: 0.9194, Acc.shelf: 0.5536, Acc.sky-other: 0.8568, Acc.skyscraper: 0.4903, Acc.snow: 0.9456, Acc.solid-other: 0.0000, Acc.stairs: 0.5826, Acc.stone: 0.3082, Acc.straw: 0.5072, Acc.structural-other: 0.0159, Acc.table: 0.2682, Acc.tent: 0.1224, Acc.textile-other: 0.3616, Acc.towel: 0.5074, Acc.tree: 0.8671, Acc.vegetable: 0.6387, Acc.wall-brick: 0.6560, Acc.wall-concrete: 0.7968, Acc.wall-other: 0.3893, Acc.wall-panel: 0.0393, Acc.wall-stone: 0.4345, Acc.wall-tile: 0.8724, Acc.wall-wood: 0.6014, Acc.water-other: 0.5365, Acc.waterdrops: 0.0000, Acc.window-blind: 0.6563, Acc.window-other: 0.7118, Acc.wood: 0.4759 2022-09-13 14:27:06,188 - mmseg - INFO - Iter [64050/80000] lr: 2.863e-07, eta: 8:34:28, time: 8.410, data_time: 6.549, memory: 42763, decode.loss_cls: 0.7234, decode.loss_mask: 0.7533, decode.loss_dice: 1.1369, decode.d0.loss_cls: 2.4196, decode.d0.loss_mask: 0.7823, decode.d0.loss_dice: 1.3164, decode.d1.loss_cls: 0.8031, decode.d1.loss_mask: 0.7826, decode.d1.loss_dice: 1.2245, decode.d2.loss_cls: 0.7540, decode.d2.loss_mask: 0.7658, decode.d2.loss_dice: 1.1811, decode.d3.loss_cls: 0.7378, decode.d3.loss_mask: 0.7640, decode.d3.loss_dice: 1.1525, decode.d4.loss_cls: 0.7318, decode.d4.loss_mask: 0.7614, decode.d4.loss_dice: 1.1529, decode.d5.loss_cls: 0.7289, decode.d5.loss_mask: 0.7550, decode.d5.loss_dice: 1.1497, decode.d6.loss_cls: 0.7212, decode.d6.loss_mask: 0.7515, decode.d6.loss_dice: 1.1342, decode.d7.loss_cls: 0.7201, decode.d7.loss_mask: 0.7538, decode.d7.loss_dice: 1.1401, decode.d8.loss_cls: 0.7201, decode.d8.loss_mask: 0.7519, decode.d8.loss_dice: 1.1377, loss: 28.4078 2022-09-13 14:28:39,450 - mmseg - INFO - Iter [64100/80000] lr: 2.854e-07, eta: 8:32:50, time: 1.865, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7097, decode.loss_mask: 0.7510, decode.loss_dice: 1.1150, decode.d0.loss_cls: 2.4329, decode.d0.loss_mask: 0.7818, decode.d0.loss_dice: 1.2937, decode.d1.loss_cls: 0.7725, decode.d1.loss_mask: 0.8007, decode.d1.loss_dice: 1.2198, decode.d2.loss_cls: 0.7365, decode.d2.loss_mask: 0.7767, decode.d2.loss_dice: 1.1651, decode.d3.loss_cls: 0.7235, decode.d3.loss_mask: 0.7635, decode.d3.loss_dice: 1.1398, decode.d4.loss_cls: 0.7215, decode.d4.loss_mask: 0.7582, decode.d4.loss_dice: 1.1332, decode.d5.loss_cls: 0.7162, decode.d5.loss_mask: 0.7537, decode.d5.loss_dice: 1.1307, decode.d6.loss_cls: 0.7096, decode.d6.loss_mask: 0.7522, decode.d6.loss_dice: 1.1189, decode.d7.loss_cls: 0.7007, decode.d7.loss_mask: 0.7544, decode.d7.loss_dice: 1.1251, decode.d8.loss_cls: 0.7035, decode.d8.loss_mask: 0.7494, decode.d8.loss_dice: 1.1219, loss: 28.1315 2022-09-13 14:30:14,130 - mmseg - INFO - Iter [64150/80000] lr: 2.845e-07, eta: 8:31:13, time: 1.894, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7447, decode.loss_mask: 0.7725, decode.loss_dice: 1.1688, decode.d0.loss_cls: 2.4683, decode.d0.loss_mask: 0.7944, decode.d0.loss_dice: 1.3609, decode.d1.loss_cls: 0.8223, decode.d1.loss_mask: 0.8044, decode.d1.loss_dice: 1.2731, decode.d2.loss_cls: 0.7755, decode.d2.loss_mask: 0.7817, decode.d2.loss_dice: 1.2147, decode.d3.loss_cls: 0.7673, decode.d3.loss_mask: 0.7788, decode.d3.loss_dice: 1.1933, decode.d4.loss_cls: 0.7614, decode.d4.loss_mask: 0.7774, decode.d4.loss_dice: 1.1873, decode.d5.loss_cls: 0.7571, decode.d5.loss_mask: 0.7762, decode.d5.loss_dice: 1.1822, decode.d6.loss_cls: 0.7515, decode.d6.loss_mask: 0.7696, decode.d6.loss_dice: 1.1746, decode.d7.loss_cls: 0.7484, decode.d7.loss_mask: 0.7685, decode.d7.loss_dice: 1.1722, decode.d8.loss_cls: 0.7479, decode.d8.loss_mask: 0.7707, decode.d8.loss_dice: 1.1731, loss: 29.2387 2022-09-13 14:31:48,459 - mmseg - INFO - Iter [64200/80000] lr: 2.836e-07, eta: 8:29:36, time: 1.886, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7499, decode.loss_mask: 0.7396, decode.loss_dice: 1.1414, decode.d0.loss_cls: 2.4517, decode.d0.loss_mask: 0.7531, decode.d0.loss_dice: 1.3210, decode.d1.loss_cls: 0.8420, decode.d1.loss_mask: 0.7698, decode.d1.loss_dice: 1.2346, decode.d2.loss_cls: 0.7828, decode.d2.loss_mask: 0.7590, decode.d2.loss_dice: 1.1836, decode.d3.loss_cls: 0.7736, decode.d3.loss_mask: 0.7459, decode.d3.loss_dice: 1.1501, decode.d4.loss_cls: 0.7625, decode.d4.loss_mask: 0.7416, decode.d4.loss_dice: 1.1481, decode.d5.loss_cls: 0.7557, decode.d5.loss_mask: 0.7439, decode.d5.loss_dice: 1.1490, decode.d6.loss_cls: 0.7577, decode.d6.loss_mask: 0.7370, decode.d6.loss_dice: 1.1451, decode.d7.loss_cls: 0.7521, decode.d7.loss_mask: 0.7371, decode.d7.loss_dice: 1.1430, decode.d8.loss_cls: 0.7486, decode.d8.loss_mask: 0.7388, decode.d8.loss_dice: 1.1451, loss: 28.6035 2022-09-13 14:33:22,124 - mmseg - INFO - Iter [64250/80000] lr: 2.827e-07, eta: 8:27:58, time: 1.872, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7497, decode.loss_mask: 0.7254, decode.loss_dice: 1.1335, decode.d0.loss_cls: 2.4859, decode.d0.loss_mask: 0.7559, decode.d0.loss_dice: 1.3127, decode.d1.loss_cls: 0.8345, decode.d1.loss_mask: 0.7594, decode.d1.loss_dice: 1.2264, decode.d2.loss_cls: 0.7900, decode.d2.loss_mask: 0.7422, decode.d2.loss_dice: 1.1781, decode.d3.loss_cls: 0.7737, decode.d3.loss_mask: 0.7409, decode.d3.loss_dice: 1.1551, decode.d4.loss_cls: 0.7614, decode.d4.loss_mask: 0.7361, decode.d4.loss_dice: 1.1549, decode.d5.loss_cls: 0.7546, decode.d5.loss_mask: 0.7294, decode.d5.loss_dice: 1.1501, decode.d6.loss_cls: 0.7542, decode.d6.loss_mask: 0.7298, decode.d6.loss_dice: 1.1410, decode.d7.loss_cls: 0.7512, decode.d7.loss_mask: 0.7315, decode.d7.loss_dice: 1.1407, decode.d8.loss_cls: 0.7489, decode.d8.loss_mask: 0.7296, decode.d8.loss_dice: 1.1350, loss: 28.5121 2022-09-13 14:34:55,017 - mmseg - INFO - Iter [64300/80000] lr: 2.818e-07, eta: 8:26:21, time: 1.860, data_time: 0.017, memory: 42763, decode.loss_cls: 0.7538, decode.loss_mask: 0.7402, decode.loss_dice: 1.1532, decode.d0.loss_cls: 2.4516, decode.d0.loss_mask: 0.7710, decode.d0.loss_dice: 1.3459, decode.d1.loss_cls: 0.8273, decode.d1.loss_mask: 0.7686, decode.d1.loss_dice: 1.2532, decode.d2.loss_cls: 0.7903, decode.d2.loss_mask: 0.7532, decode.d2.loss_dice: 1.1979, decode.d3.loss_cls: 0.7767, decode.d3.loss_mask: 0.7497, decode.d3.loss_dice: 1.1776, decode.d4.loss_cls: 0.7653, decode.d4.loss_mask: 0.7520, decode.d4.loss_dice: 1.1804, decode.d5.loss_cls: 0.7573, decode.d5.loss_mask: 0.7491, decode.d5.loss_dice: 1.1668, decode.d6.loss_cls: 0.7654, decode.d6.loss_mask: 0.7419, decode.d6.loss_dice: 1.1522, decode.d7.loss_cls: 0.7555, decode.d7.loss_mask: 0.7451, decode.d7.loss_dice: 1.1590, decode.d8.loss_cls: 0.7484, decode.d8.loss_mask: 0.7423, decode.d8.loss_dice: 1.1593, loss: 28.8501 2022-09-13 14:36:28,425 - mmseg - INFO - Iter [64350/80000] lr: 2.809e-07, eta: 8:24:43, time: 1.868, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7392, decode.loss_mask: 0.7310, decode.loss_dice: 1.1707, decode.d0.loss_cls: 2.4691, decode.d0.loss_mask: 0.7526, decode.d0.loss_dice: 1.3622, decode.d1.loss_cls: 0.8243, decode.d1.loss_mask: 0.7579, decode.d1.loss_dice: 1.2680, decode.d2.loss_cls: 0.7747, decode.d2.loss_mask: 0.7450, decode.d2.loss_dice: 1.2131, decode.d3.loss_cls: 0.7539, decode.d3.loss_mask: 0.7418, decode.d3.loss_dice: 1.1878, decode.d4.loss_cls: 0.7455, decode.d4.loss_mask: 0.7373, decode.d4.loss_dice: 1.1801, decode.d5.loss_cls: 0.7388, decode.d5.loss_mask: 0.7359, decode.d5.loss_dice: 1.1791, decode.d6.loss_cls: 0.7375, decode.d6.loss_mask: 0.7304, decode.d6.loss_dice: 1.1736, decode.d7.loss_cls: 0.7322, decode.d7.loss_mask: 0.7312, decode.d7.loss_dice: 1.1677, decode.d8.loss_cls: 0.7292, decode.d8.loss_mask: 0.7348, decode.d8.loss_dice: 1.1736, loss: 28.7182 2022-09-13 14:38:03,411 - mmseg - INFO - Iter [64400/80000] lr: 2.800e-07, eta: 8:23:06, time: 1.900, data_time: 0.018, memory: 42763, decode.loss_cls: 0.7427, decode.loss_mask: 0.7296, decode.loss_dice: 1.1539, decode.d0.loss_cls: 2.4879, decode.d0.loss_mask: 0.7450, decode.d0.loss_dice: 1.3515, decode.d1.loss_cls: 0.8265, decode.d1.loss_mask: 0.7578, decode.d1.loss_dice: 1.2530, decode.d2.loss_cls: 0.7799, decode.d2.loss_mask: 0.7416, decode.d2.loss_dice: 1.2019, decode.d3.loss_cls: 0.7639, decode.d3.loss_mask: 0.7403, decode.d3.loss_dice: 1.1749, decode.d4.loss_cls: 0.7612, decode.d4.loss_mask: 0.7374, decode.d4.loss_dice: 1.1747, decode.d5.loss_cls: 0.7486, decode.d5.loss_mask: 0.7350, decode.d5.loss_dice: 1.1669, decode.d6.loss_cls: 0.7492, decode.d6.loss_mask: 0.7272, decode.d6.loss_dice: 1.1575, decode.d7.loss_cls: 0.7445, decode.d7.loss_mask: 0.7310, decode.d7.loss_dice: 1.1588, decode.d8.loss_cls: 0.7498, decode.d8.loss_mask: 0.7275, decode.d8.loss_dice: 1.1569, loss: 28.6764 2022-09-13 14:39:38,227 - mmseg - INFO - Iter [64450/80000] lr: 2.791e-07, eta: 8:21:29, time: 1.896, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7106, decode.loss_mask: 0.7543, decode.loss_dice: 1.1467, decode.d0.loss_cls: 2.3910, decode.d0.loss_mask: 0.7714, decode.d0.loss_dice: 1.3127, decode.d1.loss_cls: 0.7893, decode.d1.loss_mask: 0.7886, decode.d1.loss_dice: 1.2502, decode.d2.loss_cls: 0.7432, decode.d2.loss_mask: 0.7753, decode.d2.loss_dice: 1.1965, decode.d3.loss_cls: 0.7314, decode.d3.loss_mask: 0.7695, decode.d3.loss_dice: 1.1750, decode.d4.loss_cls: 0.7207, decode.d4.loss_mask: 0.7629, decode.d4.loss_dice: 1.1701, decode.d5.loss_cls: 0.7177, decode.d5.loss_mask: 0.7577, decode.d5.loss_dice: 1.1623, decode.d6.loss_cls: 0.7130, decode.d6.loss_mask: 0.7577, decode.d6.loss_dice: 1.1477, decode.d7.loss_cls: 0.7111, decode.d7.loss_mask: 0.7587, decode.d7.loss_dice: 1.1504, decode.d8.loss_cls: 0.7102, decode.d8.loss_mask: 0.7564, decode.d8.loss_dice: 1.1531, loss: 28.4552 2022-09-13 14:41:12,627 - mmseg - INFO - Iter [64500/80000] lr: 2.782e-07, eta: 8:19:51, time: 1.888, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7384, decode.loss_mask: 0.7435, decode.loss_dice: 1.1452, decode.d0.loss_cls: 2.4319, decode.d0.loss_mask: 0.7668, decode.d0.loss_dice: 1.3390, decode.d1.loss_cls: 0.8182, decode.d1.loss_mask: 0.7714, decode.d1.loss_dice: 1.2410, decode.d2.loss_cls: 0.7726, decode.d2.loss_mask: 0.7632, decode.d2.loss_dice: 1.1872, decode.d3.loss_cls: 0.7603, decode.d3.loss_mask: 0.7489, decode.d3.loss_dice: 1.1649, decode.d4.loss_cls: 0.7482, decode.d4.loss_mask: 0.7493, decode.d4.loss_dice: 1.1598, decode.d5.loss_cls: 0.7451, decode.d5.loss_mask: 0.7513, decode.d5.loss_dice: 1.1572, decode.d6.loss_cls: 0.7428, decode.d6.loss_mask: 0.7437, decode.d6.loss_dice: 1.1436, decode.d7.loss_cls: 0.7393, decode.d7.loss_mask: 0.7428, decode.d7.loss_dice: 1.1475, decode.d8.loss_cls: 0.7359, decode.d8.loss_mask: 0.7448, decode.d8.loss_dice: 1.1480, loss: 28.5917 2022-09-13 14:42:46,910 - mmseg - INFO - Iter [64550/80000] lr: 2.773e-07, eta: 8:18:14, time: 1.886, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7311, decode.loss_mask: 0.7387, decode.loss_dice: 1.1508, decode.d0.loss_cls: 2.4534, decode.d0.loss_mask: 0.7610, decode.d0.loss_dice: 1.3381, decode.d1.loss_cls: 0.8246, decode.d1.loss_mask: 0.7746, decode.d1.loss_dice: 1.2512, decode.d2.loss_cls: 0.7724, decode.d2.loss_mask: 0.7642, decode.d2.loss_dice: 1.2018, decode.d3.loss_cls: 0.7591, decode.d3.loss_mask: 0.7478, decode.d3.loss_dice: 1.1702, decode.d4.loss_cls: 0.7454, decode.d4.loss_mask: 0.7476, decode.d4.loss_dice: 1.1728, decode.d5.loss_cls: 0.7352, decode.d5.loss_mask: 0.7441, decode.d5.loss_dice: 1.1661, decode.d6.loss_cls: 0.7382, decode.d6.loss_mask: 0.7455, decode.d6.loss_dice: 1.1587, decode.d7.loss_cls: 0.7383, decode.d7.loss_mask: 0.7361, decode.d7.loss_dice: 1.1543, decode.d8.loss_cls: 0.7355, decode.d8.loss_mask: 0.7377, decode.d8.loss_dice: 1.1540, loss: 28.6484 2022-09-13 14:44:20,715 - mmseg - INFO - Iter [64600/80000] lr: 2.764e-07, eta: 8:16:36, time: 1.876, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7619, decode.loss_mask: 0.7461, decode.loss_dice: 1.1525, decode.d0.loss_cls: 2.4980, decode.d0.loss_mask: 0.7617, decode.d0.loss_dice: 1.3501, decode.d1.loss_cls: 0.8463, decode.d1.loss_mask: 0.7780, decode.d1.loss_dice: 1.2646, decode.d2.loss_cls: 0.7893, decode.d2.loss_mask: 0.7657, decode.d2.loss_dice: 1.2046, decode.d3.loss_cls: 0.7838, decode.d3.loss_mask: 0.7542, decode.d3.loss_dice: 1.1800, decode.d4.loss_cls: 0.7770, decode.d4.loss_mask: 0.7529, decode.d4.loss_dice: 1.1814, decode.d5.loss_cls: 0.7637, decode.d5.loss_mask: 0.7519, decode.d5.loss_dice: 1.1687, decode.d6.loss_cls: 0.7574, decode.d6.loss_mask: 0.7486, decode.d6.loss_dice: 1.1517, decode.d7.loss_cls: 0.7610, decode.d7.loss_mask: 0.7445, decode.d7.loss_dice: 1.1525, decode.d8.loss_cls: 0.7544, decode.d8.loss_mask: 0.7472, decode.d8.loss_dice: 1.1509, loss: 29.0006 2022-09-13 14:45:54,069 - mmseg - INFO - Iter [64650/80000] lr: 2.755e-07, eta: 8:14:59, time: 1.867, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7305, decode.loss_mask: 0.7357, decode.loss_dice: 1.1486, decode.d0.loss_cls: 2.4827, decode.d0.loss_mask: 0.7588, decode.d0.loss_dice: 1.3441, decode.d1.loss_cls: 0.8252, decode.d1.loss_mask: 0.7670, decode.d1.loss_dice: 1.2419, decode.d2.loss_cls: 0.7677, decode.d2.loss_mask: 0.7506, decode.d2.loss_dice: 1.1894, decode.d3.loss_cls: 0.7550, decode.d3.loss_mask: 0.7464, decode.d3.loss_dice: 1.1693, decode.d4.loss_cls: 0.7392, decode.d4.loss_mask: 0.7463, decode.d4.loss_dice: 1.1674, decode.d5.loss_cls: 0.7349, decode.d5.loss_mask: 0.7423, decode.d5.loss_dice: 1.1611, decode.d6.loss_cls: 0.7388, decode.d6.loss_mask: 0.7390, decode.d6.loss_dice: 1.1540, decode.d7.loss_cls: 0.7323, decode.d7.loss_mask: 0.7362, decode.d7.loss_dice: 1.1526, decode.d8.loss_cls: 0.7241, decode.d8.loss_mask: 0.7357, decode.d8.loss_dice: 1.1558, loss: 28.5728 2022-09-13 14:47:27,060 - mmseg - INFO - Iter [64700/80000] lr: 2.746e-07, eta: 8:13:21, time: 1.860, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7321, decode.loss_mask: 0.7617, decode.loss_dice: 1.1415, decode.d0.loss_cls: 2.4093, decode.d0.loss_mask: 0.7809, decode.d0.loss_dice: 1.3334, decode.d1.loss_cls: 0.8105, decode.d1.loss_mask: 0.7985, decode.d1.loss_dice: 1.2462, decode.d2.loss_cls: 0.7610, decode.d2.loss_mask: 0.7874, decode.d2.loss_dice: 1.1919, decode.d3.loss_cls: 0.7442, decode.d3.loss_mask: 0.7794, decode.d3.loss_dice: 1.1690, decode.d4.loss_cls: 0.7413, decode.d4.loss_mask: 0.7712, decode.d4.loss_dice: 1.1593, decode.d5.loss_cls: 0.7321, decode.d5.loss_mask: 0.7685, decode.d5.loss_dice: 1.1562, decode.d6.loss_cls: 0.7337, decode.d6.loss_mask: 0.7630, decode.d6.loss_dice: 1.1459, decode.d7.loss_cls: 0.7347, decode.d7.loss_mask: 0.7635, decode.d7.loss_dice: 1.1469, decode.d8.loss_cls: 0.7236, decode.d8.loss_mask: 0.7651, decode.d8.loss_dice: 1.1514, loss: 28.7033 2022-09-13 14:49:00,884 - mmseg - INFO - Iter [64750/80000] lr: 2.737e-07, eta: 8:11:44, time: 1.877, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7590, decode.loss_mask: 0.7461, decode.loss_dice: 1.1301, decode.d0.loss_cls: 2.4829, decode.d0.loss_mask: 0.7698, decode.d0.loss_dice: 1.3277, decode.d1.loss_cls: 0.8397, decode.d1.loss_mask: 0.7847, decode.d1.loss_dice: 1.2366, decode.d2.loss_cls: 0.7931, decode.d2.loss_mask: 0.7704, decode.d2.loss_dice: 1.1791, decode.d3.loss_cls: 0.7774, decode.d3.loss_mask: 0.7580, decode.d3.loss_dice: 1.1668, decode.d4.loss_cls: 0.7731, decode.d4.loss_mask: 0.7545, decode.d4.loss_dice: 1.1568, decode.d5.loss_cls: 0.7644, decode.d5.loss_mask: 0.7545, decode.d5.loss_dice: 1.1448, decode.d6.loss_cls: 0.7632, decode.d6.loss_mask: 0.7488, decode.d6.loss_dice: 1.1289, decode.d7.loss_cls: 0.7578, decode.d7.loss_mask: 0.7496, decode.d7.loss_dice: 1.1351, decode.d8.loss_cls: 0.7543, decode.d8.loss_mask: 0.7510, decode.d8.loss_dice: 1.1349, loss: 28.7931 2022-09-13 14:50:36,388 - mmseg - INFO - Iter [64800/80000] lr: 2.728e-07, eta: 8:10:07, time: 1.910, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7568, decode.loss_mask: 0.7444, decode.loss_dice: 1.1658, decode.d0.loss_cls: 2.5056, decode.d0.loss_mask: 0.7701, decode.d0.loss_dice: 1.3464, decode.d1.loss_cls: 0.8379, decode.d1.loss_mask: 0.7817, decode.d1.loss_dice: 1.2547, decode.d2.loss_cls: 0.7950, decode.d2.loss_mask: 0.7584, decode.d2.loss_dice: 1.2018, decode.d3.loss_cls: 0.7764, decode.d3.loss_mask: 0.7542, decode.d3.loss_dice: 1.1847, decode.d4.loss_cls: 0.7719, decode.d4.loss_mask: 0.7466, decode.d4.loss_dice: 1.1791, decode.d5.loss_cls: 0.7639, decode.d5.loss_mask: 0.7474, decode.d5.loss_dice: 1.1756, decode.d6.loss_cls: 0.7605, decode.d6.loss_mask: 0.7443, decode.d6.loss_dice: 1.1670, decode.d7.loss_cls: 0.7577, decode.d7.loss_mask: 0.7437, decode.d7.loss_dice: 1.1606, decode.d8.loss_cls: 0.7571, decode.d8.loss_mask: 0.7466, decode.d8.loss_dice: 1.1731, loss: 29.0289 2022-09-13 14:52:10,604 - mmseg - INFO - Iter [64850/80000] lr: 2.719e-07, eta: 8:08:30, time: 1.884, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7630, decode.loss_mask: 0.7431, decode.loss_dice: 1.1681, decode.d0.loss_cls: 2.4814, decode.d0.loss_mask: 0.7732, decode.d0.loss_dice: 1.3481, decode.d1.loss_cls: 0.8422, decode.d1.loss_mask: 0.7779, decode.d1.loss_dice: 1.2605, decode.d2.loss_cls: 0.7769, decode.d2.loss_mask: 0.7661, decode.d2.loss_dice: 1.2145, decode.d3.loss_cls: 0.7711, decode.d3.loss_mask: 0.7613, decode.d3.loss_dice: 1.1933, decode.d4.loss_cls: 0.7741, decode.d4.loss_mask: 0.7583, decode.d4.loss_dice: 1.1911, decode.d5.loss_cls: 0.7623, decode.d5.loss_mask: 0.7528, decode.d5.loss_dice: 1.1826, decode.d6.loss_cls: 0.7572, decode.d6.loss_mask: 0.7478, decode.d6.loss_dice: 1.1732, decode.d7.loss_cls: 0.7567, decode.d7.loss_mask: 0.7467, decode.d7.loss_dice: 1.1753, decode.d8.loss_cls: 0.7615, decode.d8.loss_mask: 0.7455, decode.d8.loss_dice: 1.1695, loss: 29.0953 2022-09-13 14:53:46,008 - mmseg - INFO - Iter [64900/80000] lr: 2.710e-07, eta: 8:06:52, time: 1.908, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7663, decode.loss_mask: 0.7489, decode.loss_dice: 1.1763, decode.d0.loss_cls: 2.4949, decode.d0.loss_mask: 0.7855, decode.d0.loss_dice: 1.3831, decode.d1.loss_cls: 0.8592, decode.d1.loss_mask: 0.7776, decode.d1.loss_dice: 1.2847, decode.d2.loss_cls: 0.7989, decode.d2.loss_mask: 0.7661, decode.d2.loss_dice: 1.2348, decode.d3.loss_cls: 0.7877, decode.d3.loss_mask: 0.7601, decode.d3.loss_dice: 1.2056, decode.d4.loss_cls: 0.7754, decode.d4.loss_mask: 0.7569, decode.d4.loss_dice: 1.1991, decode.d5.loss_cls: 0.7701, decode.d5.loss_mask: 0.7583, decode.d5.loss_dice: 1.1932, decode.d6.loss_cls: 0.7636, decode.d6.loss_mask: 0.7495, decode.d6.loss_dice: 1.1849, decode.d7.loss_cls: 0.7642, decode.d7.loss_mask: 0.7483, decode.d7.loss_dice: 1.1837, decode.d8.loss_cls: 0.7642, decode.d8.loss_mask: 0.7493, decode.d8.loss_dice: 1.1832, loss: 29.3737 2022-09-13 14:55:20,390 - mmseg - INFO - Iter [64950/80000] lr: 2.701e-07, eta: 8:05:15, time: 1.886, data_time: 0.017, memory: 42763, decode.loss_cls: 0.7639, decode.loss_mask: 0.7310, decode.loss_dice: 1.1700, decode.d0.loss_cls: 2.5044, decode.d0.loss_mask: 0.7551, decode.d0.loss_dice: 1.3673, decode.d1.loss_cls: 0.8546, decode.d1.loss_mask: 0.7668, decode.d1.loss_dice: 1.2626, decode.d2.loss_cls: 0.7872, decode.d2.loss_mask: 0.7533, decode.d2.loss_dice: 1.2194, decode.d3.loss_cls: 0.7834, decode.d3.loss_mask: 0.7426, decode.d3.loss_dice: 1.1917, decode.d4.loss_cls: 0.7753, decode.d4.loss_mask: 0.7383, decode.d4.loss_dice: 1.1856, decode.d5.loss_cls: 0.7684, decode.d5.loss_mask: 0.7366, decode.d5.loss_dice: 1.1786, decode.d6.loss_cls: 0.7682, decode.d6.loss_mask: 0.7328, decode.d6.loss_dice: 1.1689, decode.d7.loss_cls: 0.7643, decode.d7.loss_mask: 0.7322, decode.d7.loss_dice: 1.1649, decode.d8.loss_cls: 0.7613, decode.d8.loss_mask: 0.7323, decode.d8.loss_dice: 1.1704, loss: 29.0315 2022-09-13 14:56:54,943 - mmseg - INFO - Saving checkpoint at 65000 iterations 2022-09-13 14:57:26,994 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 14:57:27,002 - mmseg - INFO - Iter [65000/80000] lr: 2.692e-07, eta: 8:03:45, time: 2.531, data_time: 0.017, memory: 42763, decode.loss_cls: 0.7342, decode.loss_mask: 0.7532, decode.loss_dice: 1.1281, decode.d0.loss_cls: 2.4273, decode.d0.loss_mask: 0.7827, decode.d0.loss_dice: 1.3135, decode.d1.loss_cls: 0.8167, decode.d1.loss_mask: 0.7928, decode.d1.loss_dice: 1.2205, decode.d2.loss_cls: 0.7749, decode.d2.loss_mask: 0.7713, decode.d2.loss_dice: 1.1724, decode.d3.loss_cls: 0.7571, decode.d3.loss_mask: 0.7655, decode.d3.loss_dice: 1.1472, decode.d4.loss_cls: 0.7484, decode.d4.loss_mask: 0.7648, decode.d4.loss_dice: 1.1397, decode.d5.loss_cls: 0.7440, decode.d5.loss_mask: 0.7614, decode.d5.loss_dice: 1.1379, decode.d6.loss_cls: 0.7396, decode.d6.loss_mask: 0.7545, decode.d6.loss_dice: 1.1271, decode.d7.loss_cls: 0.7409, decode.d7.loss_mask: 0.7537, decode.d7.loss_dice: 1.1305, decode.d8.loss_cls: 0.7385, decode.d8.loss_mask: 0.7545, decode.d8.loss_dice: 1.1294, loss: 28.5225 2022-09-13 14:59:01,991 - mmseg - INFO - Iter [65050/80000] lr: 2.683e-07, eta: 8:02:08, time: 1.902, data_time: 0.017, memory: 42763, decode.loss_cls: 0.7590, decode.loss_mask: 0.7425, decode.loss_dice: 1.1677, decode.d0.loss_cls: 2.4680, decode.d0.loss_mask: 0.7600, decode.d0.loss_dice: 1.3421, decode.d1.loss_cls: 0.8379, decode.d1.loss_mask: 0.7675, decode.d1.loss_dice: 1.2563, decode.d2.loss_cls: 0.7802, decode.d2.loss_mask: 0.7631, decode.d2.loss_dice: 1.2141, decode.d3.loss_cls: 0.7733, decode.d3.loss_mask: 0.7514, decode.d3.loss_dice: 1.1885, decode.d4.loss_cls: 0.7656, decode.d4.loss_mask: 0.7476, decode.d4.loss_dice: 1.1799, decode.d5.loss_cls: 0.7569, decode.d5.loss_mask: 0.7454, decode.d5.loss_dice: 1.1840, decode.d6.loss_cls: 0.7610, decode.d6.loss_mask: 0.7411, decode.d6.loss_dice: 1.1701, decode.d7.loss_cls: 0.7574, decode.d7.loss_mask: 0.7440, decode.d7.loss_dice: 1.1638, decode.d8.loss_cls: 0.7534, decode.d8.loss_mask: 0.7435, decode.d8.loss_dice: 1.1682, loss: 28.9535 2022-09-13 15:00:34,859 - mmseg - INFO - Iter [65100/80000] lr: 2.674e-07, eta: 8:00:31, time: 1.855, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7145, decode.loss_mask: 0.7650, decode.loss_dice: 1.1547, decode.d0.loss_cls: 2.4042, decode.d0.loss_mask: 0.7793, decode.d0.loss_dice: 1.3477, decode.d1.loss_cls: 0.7981, decode.d1.loss_mask: 0.7923, decode.d1.loss_dice: 1.2522, decode.d2.loss_cls: 0.7379, decode.d2.loss_mask: 0.7847, decode.d2.loss_dice: 1.2159, decode.d3.loss_cls: 0.7308, decode.d3.loss_mask: 0.7743, decode.d3.loss_dice: 1.1935, decode.d4.loss_cls: 0.7258, decode.d4.loss_mask: 0.7736, decode.d4.loss_dice: 1.1877, decode.d5.loss_cls: 0.7238, decode.d5.loss_mask: 0.7690, decode.d5.loss_dice: 1.1800, decode.d6.loss_cls: 0.7145, decode.d6.loss_mask: 0.7675, decode.d6.loss_dice: 1.1669, decode.d7.loss_cls: 0.7193, decode.d7.loss_mask: 0.7641, decode.d7.loss_dice: 1.1637, decode.d8.loss_cls: 0.7151, decode.d8.loss_mask: 0.7642, decode.d8.loss_dice: 1.1630, loss: 28.7436 2022-09-13 15:02:08,597 - mmseg - INFO - Iter [65150/80000] lr: 2.665e-07, eta: 7:58:53, time: 1.877, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7052, decode.loss_mask: 0.7301, decode.loss_dice: 1.1288, decode.d0.loss_cls: 2.4150, decode.d0.loss_mask: 0.7446, decode.d0.loss_dice: 1.3036, decode.d1.loss_cls: 0.7824, decode.d1.loss_mask: 0.7631, decode.d1.loss_dice: 1.2197, decode.d2.loss_cls: 0.7275, decode.d2.loss_mask: 0.7469, decode.d2.loss_dice: 1.1731, decode.d3.loss_cls: 0.7220, decode.d3.loss_mask: 0.7391, decode.d3.loss_dice: 1.1528, decode.d4.loss_cls: 0.7186, decode.d4.loss_mask: 0.7365, decode.d4.loss_dice: 1.1436, decode.d5.loss_cls: 0.7205, decode.d5.loss_mask: 0.7310, decode.d5.loss_dice: 1.1406, decode.d6.loss_cls: 0.7105, decode.d6.loss_mask: 0.7292, decode.d6.loss_dice: 1.1329, decode.d7.loss_cls: 0.7061, decode.d7.loss_mask: 0.7307, decode.d7.loss_dice: 1.1335, decode.d8.loss_cls: 0.7089, decode.d8.loss_mask: 0.7307, decode.d8.loss_dice: 1.1369, loss: 27.9641 2022-09-13 15:03:42,375 - mmseg - INFO - Iter [65200/80000] lr: 2.656e-07, eta: 7:57:16, time: 1.875, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7382, decode.loss_mask: 0.7346, decode.loss_dice: 1.1571, decode.d0.loss_cls: 2.4721, decode.d0.loss_mask: 0.7486, decode.d0.loss_dice: 1.3436, decode.d1.loss_cls: 0.8195, decode.d1.loss_mask: 0.7696, decode.d1.loss_dice: 1.2549, decode.d2.loss_cls: 0.7685, decode.d2.loss_mask: 0.7521, decode.d2.loss_dice: 1.2059, decode.d3.loss_cls: 0.7560, decode.d3.loss_mask: 0.7470, decode.d3.loss_dice: 1.1856, decode.d4.loss_cls: 0.7505, decode.d4.loss_mask: 0.7410, decode.d4.loss_dice: 1.1756, decode.d5.loss_cls: 0.7427, decode.d5.loss_mask: 0.7432, decode.d5.loss_dice: 1.1748, decode.d6.loss_cls: 0.7438, decode.d6.loss_mask: 0.7338, decode.d6.loss_dice: 1.1569, decode.d7.loss_cls: 0.7409, decode.d7.loss_mask: 0.7369, decode.d7.loss_dice: 1.1612, decode.d8.loss_cls: 0.7411, decode.d8.loss_mask: 0.7343, decode.d8.loss_dice: 1.1569, loss: 28.6870 2022-09-13 15:05:16,810 - mmseg - INFO - Iter [65250/80000] lr: 2.647e-07, eta: 7:55:38, time: 1.889, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7199, decode.loss_mask: 0.7399, decode.loss_dice: 1.1365, decode.d0.loss_cls: 2.4377, decode.d0.loss_mask: 0.7632, decode.d0.loss_dice: 1.3294, decode.d1.loss_cls: 0.8060, decode.d1.loss_mask: 0.7689, decode.d1.loss_dice: 1.2306, decode.d2.loss_cls: 0.7500, decode.d2.loss_mask: 0.7528, decode.d2.loss_dice: 1.1809, decode.d3.loss_cls: 0.7407, decode.d3.loss_mask: 0.7469, decode.d3.loss_dice: 1.1586, decode.d4.loss_cls: 0.7354, decode.d4.loss_mask: 0.7464, decode.d4.loss_dice: 1.1551, decode.d5.loss_cls: 0.7272, decode.d5.loss_mask: 0.7422, decode.d5.loss_dice: 1.1456, decode.d6.loss_cls: 0.7218, decode.d6.loss_mask: 0.7407, decode.d6.loss_dice: 1.1366, decode.d7.loss_cls: 0.7229, decode.d7.loss_mask: 0.7400, decode.d7.loss_dice: 1.1405, decode.d8.loss_cls: 0.7165, decode.d8.loss_mask: 0.7357, decode.d8.loss_dice: 1.1379, loss: 28.3065 2022-09-13 15:06:51,249 - mmseg - INFO - Iter [65300/80000] lr: 2.638e-07, eta: 7:54:01, time: 1.889, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7143, decode.loss_mask: 0.7416, decode.loss_dice: 1.1312, decode.d0.loss_cls: 2.4033, decode.d0.loss_mask: 0.7551, decode.d0.loss_dice: 1.3089, decode.d1.loss_cls: 0.8010, decode.d1.loss_mask: 0.7607, decode.d1.loss_dice: 1.2245, decode.d2.loss_cls: 0.7459, decode.d2.loss_mask: 0.7545, decode.d2.loss_dice: 1.1728, decode.d3.loss_cls: 0.7358, decode.d3.loss_mask: 0.7505, decode.d3.loss_dice: 1.1563, decode.d4.loss_cls: 0.7288, decode.d4.loss_mask: 0.7477, decode.d4.loss_dice: 1.1532, decode.d5.loss_cls: 0.7270, decode.d5.loss_mask: 0.7439, decode.d5.loss_dice: 1.1473, decode.d6.loss_cls: 0.7271, decode.d6.loss_mask: 0.7383, decode.d6.loss_dice: 1.1370, decode.d7.loss_cls: 0.7113, decode.d7.loss_mask: 0.7437, decode.d7.loss_dice: 1.1357, decode.d8.loss_cls: 0.7131, decode.d8.loss_mask: 0.7421, decode.d8.loss_dice: 1.1376, loss: 28.1899 2022-09-13 15:08:24,819 - mmseg - INFO - Iter [65350/80000] lr: 2.629e-07, eta: 7:52:24, time: 1.869, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7293, decode.loss_mask: 0.7456, decode.loss_dice: 1.1624, decode.d0.loss_cls: 2.4196, decode.d0.loss_mask: 0.7600, decode.d0.loss_dice: 1.3463, decode.d1.loss_cls: 0.8124, decode.d1.loss_mask: 0.7776, decode.d1.loss_dice: 1.2477, decode.d2.loss_cls: 0.7571, decode.d2.loss_mask: 0.7609, decode.d2.loss_dice: 1.1962, decode.d3.loss_cls: 0.7430, decode.d3.loss_mask: 0.7548, decode.d3.loss_dice: 1.1791, decode.d4.loss_cls: 0.7431, decode.d4.loss_mask: 0.7537, decode.d4.loss_dice: 1.1855, decode.d5.loss_cls: 0.7348, decode.d5.loss_mask: 0.7478, decode.d5.loss_dice: 1.1774, decode.d6.loss_cls: 0.7318, decode.d6.loss_mask: 0.7463, decode.d6.loss_dice: 1.1673, decode.d7.loss_cls: 0.7301, decode.d7.loss_mask: 0.7479, decode.d7.loss_dice: 1.1633, decode.d8.loss_cls: 0.7284, decode.d8.loss_mask: 0.7453, decode.d8.loss_dice: 1.1656, loss: 28.6603 2022-09-13 15:09:59,172 - mmseg - INFO - Iter [65400/80000] lr: 2.621e-07, eta: 7:50:46, time: 1.889, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7351, decode.loss_mask: 0.7728, decode.loss_dice: 1.1610, decode.d0.loss_cls: 2.3975, decode.d0.loss_mask: 0.8002, decode.d0.loss_dice: 1.3423, decode.d1.loss_cls: 0.8069, decode.d1.loss_mask: 0.8087, decode.d1.loss_dice: 1.2587, decode.d2.loss_cls: 0.7542, decode.d2.loss_mask: 0.7925, decode.d2.loss_dice: 1.2087, decode.d3.loss_cls: 0.7435, decode.d3.loss_mask: 0.7865, decode.d3.loss_dice: 1.1838, decode.d4.loss_cls: 0.7401, decode.d4.loss_mask: 0.7801, decode.d4.loss_dice: 1.1786, decode.d5.loss_cls: 0.7318, decode.d5.loss_mask: 0.7773, decode.d5.loss_dice: 1.1718, decode.d6.loss_cls: 0.7344, decode.d6.loss_mask: 0.7733, decode.d6.loss_dice: 1.1566, decode.d7.loss_cls: 0.7258, decode.d7.loss_mask: 0.7765, decode.d7.loss_dice: 1.1644, decode.d8.loss_cls: 0.7293, decode.d8.loss_mask: 0.7774, decode.d8.loss_dice: 1.1635, loss: 28.9332 2022-09-13 15:11:33,424 - mmseg - INFO - Iter [65450/80000] lr: 2.612e-07, eta: 7:49:09, time: 1.885, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7406, decode.loss_mask: 0.7540, decode.loss_dice: 1.1371, decode.d0.loss_cls: 2.4234, decode.d0.loss_mask: 0.7724, decode.d0.loss_dice: 1.3224, decode.d1.loss_cls: 0.8195, decode.d1.loss_mask: 0.7823, decode.d1.loss_dice: 1.2342, decode.d2.loss_cls: 0.7721, decode.d2.loss_mask: 0.7710, decode.d2.loss_dice: 1.1896, decode.d3.loss_cls: 0.7579, decode.d3.loss_mask: 0.7669, decode.d3.loss_dice: 1.1617, decode.d4.loss_cls: 0.7559, decode.d4.loss_mask: 0.7610, decode.d4.loss_dice: 1.1631, decode.d5.loss_cls: 0.7444, decode.d5.loss_mask: 0.7634, decode.d5.loss_dice: 1.1577, decode.d6.loss_cls: 0.7458, decode.d6.loss_mask: 0.7573, decode.d6.loss_dice: 1.1403, decode.d7.loss_cls: 0.7473, decode.d7.loss_mask: 0.7582, decode.d7.loss_dice: 1.1442, decode.d8.loss_cls: 0.7371, decode.d8.loss_mask: 0.7593, decode.d8.loss_dice: 1.1443, loss: 28.6844 2022-09-13 15:13:07,495 - mmseg - INFO - Iter [65500/80000] lr: 2.603e-07, eta: 7:47:32, time: 1.881, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7643, decode.loss_mask: 0.7386, decode.loss_dice: 1.1603, decode.d0.loss_cls: 2.4856, decode.d0.loss_mask: 0.7597, decode.d0.loss_dice: 1.3604, decode.d1.loss_cls: 0.8635, decode.d1.loss_mask: 0.7718, decode.d1.loss_dice: 1.2614, decode.d2.loss_cls: 0.8030, decode.d2.loss_mask: 0.7600, decode.d2.loss_dice: 1.2127, decode.d3.loss_cls: 0.7965, decode.d3.loss_mask: 0.7485, decode.d3.loss_dice: 1.1942, decode.d4.loss_cls: 0.7842, decode.d4.loss_mask: 0.7442, decode.d4.loss_dice: 1.1850, decode.d5.loss_cls: 0.7822, decode.d5.loss_mask: 0.7451, decode.d5.loss_dice: 1.1826, decode.d6.loss_cls: 0.7783, decode.d6.loss_mask: 0.7396, decode.d6.loss_dice: 1.1685, decode.d7.loss_cls: 0.7708, decode.d7.loss_mask: 0.7371, decode.d7.loss_dice: 1.1699, decode.d8.loss_cls: 0.7659, decode.d8.loss_mask: 0.7363, decode.d8.loss_dice: 1.1706, loss: 29.1408 2022-09-13 15:14:41,574 - mmseg - INFO - Iter [65550/80000] lr: 2.594e-07, eta: 7:45:55, time: 1.881, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7478, decode.loss_mask: 0.7240, decode.loss_dice: 1.1493, decode.d0.loss_cls: 2.5222, decode.d0.loss_mask: 0.7353, decode.d0.loss_dice: 1.3360, decode.d1.loss_cls: 0.8461, decode.d1.loss_mask: 0.7492, decode.d1.loss_dice: 1.2444, decode.d2.loss_cls: 0.7777, decode.d2.loss_mask: 0.7368, decode.d2.loss_dice: 1.2021, decode.d3.loss_cls: 0.7696, decode.d3.loss_mask: 0.7247, decode.d3.loss_dice: 1.1711, decode.d4.loss_cls: 0.7596, decode.d4.loss_mask: 0.7261, decode.d4.loss_dice: 1.1677, decode.d5.loss_cls: 0.7549, decode.d5.loss_mask: 0.7202, decode.d5.loss_dice: 1.1626, decode.d6.loss_cls: 0.7551, decode.d6.loss_mask: 0.7206, decode.d6.loss_dice: 1.1533, decode.d7.loss_cls: 0.7477, decode.d7.loss_mask: 0.7218, decode.d7.loss_dice: 1.1554, decode.d8.loss_cls: 0.7464, decode.d8.loss_mask: 0.7179, decode.d8.loss_dice: 1.1514, loss: 28.5970 2022-09-13 15:16:16,363 - mmseg - INFO - Iter [65600/80000] lr: 2.585e-07, eta: 7:44:17, time: 1.896, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7088, decode.loss_mask: 0.7497, decode.loss_dice: 1.1314, decode.d0.loss_cls: 2.4372, decode.d0.loss_mask: 0.7672, decode.d0.loss_dice: 1.2993, decode.d1.loss_cls: 0.7909, decode.d1.loss_mask: 0.7910, decode.d1.loss_dice: 1.2243, decode.d2.loss_cls: 0.7461, decode.d2.loss_mask: 0.7619, decode.d2.loss_dice: 1.1659, decode.d3.loss_cls: 0.7275, decode.d3.loss_mask: 0.7566, decode.d3.loss_dice: 1.1399, decode.d4.loss_cls: 0.7217, decode.d4.loss_mask: 0.7503, decode.d4.loss_dice: 1.1393, decode.d5.loss_cls: 0.7222, decode.d5.loss_mask: 0.7498, decode.d5.loss_dice: 1.1364, decode.d6.loss_cls: 0.7133, decode.d6.loss_mask: 0.7498, decode.d6.loss_dice: 1.1288, decode.d7.loss_cls: 0.7131, decode.d7.loss_mask: 0.7481, decode.d7.loss_dice: 1.1281, decode.d8.loss_cls: 0.7036, decode.d8.loss_mask: 0.7493, decode.d8.loss_dice: 1.1274, loss: 28.1788 2022-09-13 15:17:51,105 - mmseg - INFO - Iter [65650/80000] lr: 2.576e-07, eta: 7:42:40, time: 1.895, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7210, decode.loss_mask: 0.7638, decode.loss_dice: 1.1574, decode.d0.loss_cls: 2.4385, decode.d0.loss_mask: 0.7867, decode.d0.loss_dice: 1.3323, decode.d1.loss_cls: 0.8086, decode.d1.loss_mask: 0.7914, decode.d1.loss_dice: 1.2429, decode.d2.loss_cls: 0.7584, decode.d2.loss_mask: 0.7779, decode.d2.loss_dice: 1.2023, decode.d3.loss_cls: 0.7452, decode.d3.loss_mask: 0.7721, decode.d3.loss_dice: 1.1773, decode.d4.loss_cls: 0.7401, decode.d4.loss_mask: 0.7707, decode.d4.loss_dice: 1.1726, decode.d5.loss_cls: 0.7330, decode.d5.loss_mask: 0.7714, decode.d5.loss_dice: 1.1691, decode.d6.loss_cls: 0.7320, decode.d6.loss_mask: 0.7685, decode.d6.loss_dice: 1.1568, decode.d7.loss_cls: 0.7236, decode.d7.loss_mask: 0.7687, decode.d7.loss_dice: 1.1548, decode.d8.loss_cls: 0.7226, decode.d8.loss_mask: 0.7653, decode.d8.loss_dice: 1.1518, loss: 28.7765 2022-09-13 15:19:24,530 - mmseg - INFO - Iter [65700/80000] lr: 2.567e-07, eta: 7:41:03, time: 1.868, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7083, decode.loss_mask: 0.7439, decode.loss_dice: 1.1450, decode.d0.loss_cls: 2.4129, decode.d0.loss_mask: 0.7688, decode.d0.loss_dice: 1.3390, decode.d1.loss_cls: 0.8072, decode.d1.loss_mask: 0.7712, decode.d1.loss_dice: 1.2438, decode.d2.loss_cls: 0.7509, decode.d2.loss_mask: 0.7577, decode.d2.loss_dice: 1.1892, decode.d3.loss_cls: 0.7327, decode.d3.loss_mask: 0.7530, decode.d3.loss_dice: 1.1715, decode.d4.loss_cls: 0.7286, decode.d4.loss_mask: 0.7449, decode.d4.loss_dice: 1.1583, decode.d5.loss_cls: 0.7181, decode.d5.loss_mask: 0.7432, decode.d5.loss_dice: 1.1523, decode.d6.loss_cls: 0.7187, decode.d6.loss_mask: 0.7409, decode.d6.loss_dice: 1.1420, decode.d7.loss_cls: 0.7143, decode.d7.loss_mask: 0.7369, decode.d7.loss_dice: 1.1441, decode.d8.loss_cls: 0.7100, decode.d8.loss_mask: 0.7422, decode.d8.loss_dice: 1.1442, loss: 28.3339 2022-09-13 15:20:57,099 - mmseg - INFO - Iter [65750/80000] lr: 2.558e-07, eta: 7:39:25, time: 1.851, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7139, decode.loss_mask: 0.7438, decode.loss_dice: 1.1311, decode.d0.loss_cls: 2.3930, decode.d0.loss_mask: 0.7664, decode.d0.loss_dice: 1.3206, decode.d1.loss_cls: 0.7918, decode.d1.loss_mask: 0.7806, decode.d1.loss_dice: 1.2358, decode.d2.loss_cls: 0.7399, decode.d2.loss_mask: 0.7662, decode.d2.loss_dice: 1.1799, decode.d3.loss_cls: 0.7349, decode.d3.loss_mask: 0.7591, decode.d3.loss_dice: 1.1562, decode.d4.loss_cls: 0.7262, decode.d4.loss_mask: 0.7559, decode.d4.loss_dice: 1.1580, decode.d5.loss_cls: 0.7204, decode.d5.loss_mask: 0.7482, decode.d5.loss_dice: 1.1465, decode.d6.loss_cls: 0.7194, decode.d6.loss_mask: 0.7498, decode.d6.loss_dice: 1.1407, decode.d7.loss_cls: 0.7176, decode.d7.loss_mask: 0.7460, decode.d7.loss_dice: 1.1392, decode.d8.loss_cls: 0.7120, decode.d8.loss_mask: 0.7457, decode.d8.loss_dice: 1.1416, loss: 28.2803 2022-09-13 15:22:31,753 - mmseg - INFO - Iter [65800/80000] lr: 2.549e-07, eta: 7:37:48, time: 1.893, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7469, decode.loss_mask: 0.7463, decode.loss_dice: 1.1592, decode.d0.loss_cls: 2.4953, decode.d0.loss_mask: 0.7700, decode.d0.loss_dice: 1.3489, decode.d1.loss_cls: 0.8356, decode.d1.loss_mask: 0.7798, decode.d1.loss_dice: 1.2543, decode.d2.loss_cls: 0.7810, decode.d2.loss_mask: 0.7643, decode.d2.loss_dice: 1.2012, decode.d3.loss_cls: 0.7702, decode.d3.loss_mask: 0.7567, decode.d3.loss_dice: 1.1731, decode.d4.loss_cls: 0.7623, decode.d4.loss_mask: 0.7567, decode.d4.loss_dice: 1.1842, decode.d5.loss_cls: 0.7521, decode.d5.loss_mask: 0.7496, decode.d5.loss_dice: 1.1717, decode.d6.loss_cls: 0.7479, decode.d6.loss_mask: 0.7475, decode.d6.loss_dice: 1.1564, decode.d7.loss_cls: 0.7471, decode.d7.loss_mask: 0.7467, decode.d7.loss_dice: 1.1596, decode.d8.loss_cls: 0.7433, decode.d8.loss_mask: 0.7476, decode.d8.loss_dice: 1.1611, loss: 28.9165 2022-09-13 15:24:06,373 - mmseg - INFO - Iter [65850/80000] lr: 2.540e-07, eta: 7:36:11, time: 1.892, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7635, decode.loss_mask: 0.7409, decode.loss_dice: 1.1758, decode.d0.loss_cls: 2.5264, decode.d0.loss_mask: 0.7606, decode.d0.loss_dice: 1.3556, decode.d1.loss_cls: 0.8474, decode.d1.loss_mask: 0.7740, decode.d1.loss_dice: 1.2584, decode.d2.loss_cls: 0.8028, decode.d2.loss_mask: 0.7536, decode.d2.loss_dice: 1.2097, decode.d3.loss_cls: 0.7838, decode.d3.loss_mask: 0.7518, decode.d3.loss_dice: 1.1955, decode.d4.loss_cls: 0.7734, decode.d4.loss_mask: 0.7467, decode.d4.loss_dice: 1.1911, decode.d5.loss_cls: 0.7674, decode.d5.loss_mask: 0.7455, decode.d5.loss_dice: 1.1825, decode.d6.loss_cls: 0.7670, decode.d6.loss_mask: 0.7417, decode.d6.loss_dice: 1.1732, decode.d7.loss_cls: 0.7674, decode.d7.loss_mask: 0.7401, decode.d7.loss_dice: 1.1809, decode.d8.loss_cls: 0.7563, decode.d8.loss_mask: 0.7426, decode.d8.loss_dice: 1.1743, loss: 29.1499 2022-09-13 15:25:40,345 - mmseg - INFO - Iter [65900/80000] lr: 2.531e-07, eta: 7:34:33, time: 1.879, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7574, decode.loss_mask: 0.7318, decode.loss_dice: 1.1564, decode.d0.loss_cls: 2.4196, decode.d0.loss_mask: 0.7540, decode.d0.loss_dice: 1.3456, decode.d1.loss_cls: 0.8397, decode.d1.loss_mask: 0.7651, decode.d1.loss_dice: 1.2483, decode.d2.loss_cls: 0.7914, decode.d2.loss_mask: 0.7442, decode.d2.loss_dice: 1.1939, decode.d3.loss_cls: 0.7805, decode.d3.loss_mask: 0.7352, decode.d3.loss_dice: 1.1718, decode.d4.loss_cls: 0.7687, decode.d4.loss_mask: 0.7341, decode.d4.loss_dice: 1.1665, decode.d5.loss_cls: 0.7629, decode.d5.loss_mask: 0.7356, decode.d5.loss_dice: 1.1611, decode.d6.loss_cls: 0.7623, decode.d6.loss_mask: 0.7284, decode.d6.loss_dice: 1.1564, decode.d7.loss_cls: 0.7587, decode.d7.loss_mask: 0.7338, decode.d7.loss_dice: 1.1591, decode.d8.loss_cls: 0.7497, decode.d8.loss_mask: 0.7341, decode.d8.loss_dice: 1.1529, loss: 28.6991 2022-09-13 15:27:14,213 - mmseg - INFO - Iter [65950/80000] lr: 2.522e-07, eta: 7:32:56, time: 1.878, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7471, decode.loss_mask: 0.7437, decode.loss_dice: 1.1646, decode.d0.loss_cls: 2.4424, decode.d0.loss_mask: 0.7640, decode.d0.loss_dice: 1.3593, decode.d1.loss_cls: 0.8351, decode.d1.loss_mask: 0.7742, decode.d1.loss_dice: 1.2606, decode.d2.loss_cls: 0.7799, decode.d2.loss_mask: 0.7593, decode.d2.loss_dice: 1.2173, decode.d3.loss_cls: 0.7730, decode.d3.loss_mask: 0.7502, decode.d3.loss_dice: 1.1899, decode.d4.loss_cls: 0.7685, decode.d4.loss_mask: 0.7469, decode.d4.loss_dice: 1.1890, decode.d5.loss_cls: 0.7549, decode.d5.loss_mask: 0.7449, decode.d5.loss_dice: 1.1771, decode.d6.loss_cls: 0.7508, decode.d6.loss_mask: 0.7461, decode.d6.loss_dice: 1.1708, decode.d7.loss_cls: 0.7443, decode.d7.loss_mask: 0.7473, decode.d7.loss_dice: 1.1740, decode.d8.loss_cls: 0.7475, decode.d8.loss_mask: 0.7455, decode.d8.loss_dice: 1.1672, loss: 28.9352 2022-09-13 15:28:47,773 - mmseg - INFO - Saving checkpoint at 66000 iterations 2022-09-13 15:29:20,199 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 15:29:20,207 - mmseg - INFO - Iter [66000/80000] lr: 2.513e-07, eta: 7:31:26, time: 2.517, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7514, decode.loss_mask: 0.7440, decode.loss_dice: 1.1457, decode.d0.loss_cls: 2.4681, decode.d0.loss_mask: 0.7789, decode.d0.loss_dice: 1.3317, decode.d1.loss_cls: 0.8323, decode.d1.loss_mask: 0.7886, decode.d1.loss_dice: 1.2560, decode.d2.loss_cls: 0.7830, decode.d2.loss_mask: 0.7679, decode.d2.loss_dice: 1.2045, decode.d3.loss_cls: 0.7752, decode.d3.loss_mask: 0.7560, decode.d3.loss_dice: 1.1817, decode.d4.loss_cls: 0.7695, decode.d4.loss_mask: 0.7532, decode.d4.loss_dice: 1.1683, decode.d5.loss_cls: 0.7552, decode.d5.loss_mask: 0.7496, decode.d5.loss_dice: 1.1639, decode.d6.loss_cls: 0.7602, decode.d6.loss_mask: 0.7483, decode.d6.loss_dice: 1.1486, decode.d7.loss_cls: 0.7509, decode.d7.loss_mask: 0.7454, decode.d7.loss_dice: 1.1502, decode.d8.loss_cls: 0.7459, decode.d8.loss_mask: 0.7457, decode.d8.loss_dice: 1.1489, loss: 28.8686 2022-09-13 15:30:55,377 - mmseg - INFO - Iter [66050/80000] lr: 2.504e-07, eta: 7:29:49, time: 1.906, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7272, decode.loss_mask: 0.7337, decode.loss_dice: 1.1192, decode.d0.loss_cls: 2.4620, decode.d0.loss_mask: 0.7589, decode.d0.loss_dice: 1.3049, decode.d1.loss_cls: 0.8190, decode.d1.loss_mask: 0.7677, decode.d1.loss_dice: 1.2173, decode.d2.loss_cls: 0.7663, decode.d2.loss_mask: 0.7552, decode.d2.loss_dice: 1.1712, decode.d3.loss_cls: 0.7508, decode.d3.loss_mask: 0.7470, decode.d3.loss_dice: 1.1481, decode.d4.loss_cls: 0.7419, decode.d4.loss_mask: 0.7486, decode.d4.loss_dice: 1.1387, decode.d5.loss_cls: 0.7312, decode.d5.loss_mask: 0.7445, decode.d5.loss_dice: 1.1346, decode.d6.loss_cls: 0.7290, decode.d6.loss_mask: 0.7401, decode.d6.loss_dice: 1.1272, decode.d7.loss_cls: 0.7263, decode.d7.loss_mask: 0.7405, decode.d7.loss_dice: 1.1262, decode.d8.loss_cls: 0.7281, decode.d8.loss_mask: 0.7383, decode.d8.loss_dice: 1.1291, loss: 28.2728 2022-09-13 15:32:30,333 - mmseg - INFO - Iter [66100/80000] lr: 2.495e-07, eta: 7:28:11, time: 1.897, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7971, decode.loss_mask: 0.7457, decode.loss_dice: 1.1499, decode.d0.loss_cls: 2.4962, decode.d0.loss_mask: 0.7676, decode.d0.loss_dice: 1.3428, decode.d1.loss_cls: 0.8867, decode.d1.loss_mask: 0.7812, decode.d1.loss_dice: 1.2479, decode.d2.loss_cls: 0.8226, decode.d2.loss_mask: 0.7659, decode.d2.loss_dice: 1.1992, decode.d3.loss_cls: 0.8104, decode.d3.loss_mask: 0.7603, decode.d3.loss_dice: 1.1752, decode.d4.loss_cls: 0.8011, decode.d4.loss_mask: 0.7597, decode.d4.loss_dice: 1.1773, decode.d5.loss_cls: 0.7973, decode.d5.loss_mask: 0.7536, decode.d5.loss_dice: 1.1671, decode.d6.loss_cls: 0.7919, decode.d6.loss_mask: 0.7539, decode.d6.loss_dice: 1.1514, decode.d7.loss_cls: 0.7935, decode.d7.loss_mask: 0.7459, decode.d7.loss_dice: 1.1514, decode.d8.loss_cls: 0.7921, decode.d8.loss_mask: 0.7479, decode.d8.loss_dice: 1.1555, loss: 29.2881 2022-09-13 15:34:02,761 - mmseg - INFO - Iter [66150/80000] lr: 2.486e-07, eta: 7:26:34, time: 1.850, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7879, decode.loss_mask: 0.7428, decode.loss_dice: 1.1787, decode.d0.loss_cls: 2.5542, decode.d0.loss_mask: 0.7570, decode.d0.loss_dice: 1.3673, decode.d1.loss_cls: 0.8689, decode.d1.loss_mask: 0.7760, decode.d1.loss_dice: 1.2907, decode.d2.loss_cls: 0.8149, decode.d2.loss_mask: 0.7675, decode.d2.loss_dice: 1.2385, decode.d3.loss_cls: 0.7991, decode.d3.loss_mask: 0.7547, decode.d3.loss_dice: 1.2056, decode.d4.loss_cls: 0.8009, decode.d4.loss_mask: 0.7491, decode.d4.loss_dice: 1.1967, decode.d5.loss_cls: 0.7992, decode.d5.loss_mask: 0.7431, decode.d5.loss_dice: 1.1910, decode.d6.loss_cls: 0.7947, decode.d6.loss_mask: 0.7411, decode.d6.loss_dice: 1.1799, decode.d7.loss_cls: 0.7925, decode.d7.loss_mask: 0.7409, decode.d7.loss_dice: 1.1810, decode.d8.loss_cls: 0.7883, decode.d8.loss_mask: 0.7417, decode.d8.loss_dice: 1.1804, loss: 29.5241 2022-09-13 15:35:36,820 - mmseg - INFO - Iter [66200/80000] lr: 2.477e-07, eta: 7:24:57, time: 1.881, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7369, decode.loss_mask: 0.7544, decode.loss_dice: 1.1346, decode.d0.loss_cls: 2.4605, decode.d0.loss_mask: 0.7794, decode.d0.loss_dice: 1.3222, decode.d1.loss_cls: 0.8112, decode.d1.loss_mask: 0.7837, decode.d1.loss_dice: 1.2318, decode.d2.loss_cls: 0.7681, decode.d2.loss_mask: 0.7749, decode.d2.loss_dice: 1.1895, decode.d3.loss_cls: 0.7576, decode.d3.loss_mask: 0.7649, decode.d3.loss_dice: 1.1624, decode.d4.loss_cls: 0.7498, decode.d4.loss_mask: 0.7614, decode.d4.loss_dice: 1.1588, decode.d5.loss_cls: 0.7457, decode.d5.loss_mask: 0.7611, decode.d5.loss_dice: 1.1509, decode.d6.loss_cls: 0.7414, decode.d6.loss_mask: 0.7581, decode.d6.loss_dice: 1.1408, decode.d7.loss_cls: 0.7404, decode.d7.loss_mask: 0.7535, decode.d7.loss_dice: 1.1381, decode.d8.loss_cls: 0.7395, decode.d8.loss_mask: 0.7523, decode.d8.loss_dice: 1.1373, loss: 28.6613 2022-09-13 15:37:10,511 - mmseg - INFO - Iter [66250/80000] lr: 2.468e-07, eta: 7:23:19, time: 1.874, data_time: 0.017, memory: 42763, decode.loss_cls: 0.6955, decode.loss_mask: 0.7525, decode.loss_dice: 1.1420, decode.d0.loss_cls: 2.3802, decode.d0.loss_mask: 0.7740, decode.d0.loss_dice: 1.3132, decode.d1.loss_cls: 0.7792, decode.d1.loss_mask: 0.7921, decode.d1.loss_dice: 1.2331, decode.d2.loss_cls: 0.7317, decode.d2.loss_mask: 0.7716, decode.d2.loss_dice: 1.1887, decode.d3.loss_cls: 0.7210, decode.d3.loss_mask: 0.7590, decode.d3.loss_dice: 1.1649, decode.d4.loss_cls: 0.7089, decode.d4.loss_mask: 0.7603, decode.d4.loss_dice: 1.1641, decode.d5.loss_cls: 0.7017, decode.d5.loss_mask: 0.7634, decode.d5.loss_dice: 1.1606, decode.d6.loss_cls: 0.7016, decode.d6.loss_mask: 0.7559, decode.d6.loss_dice: 1.1447, decode.d7.loss_cls: 0.6946, decode.d7.loss_mask: 0.7564, decode.d7.loss_dice: 1.1515, decode.d8.loss_cls: 0.6896, decode.d8.loss_mask: 0.7556, decode.d8.loss_dice: 1.1515, loss: 28.2592 2022-09-13 15:38:45,176 - mmseg - INFO - Iter [66300/80000] lr: 2.459e-07, eta: 7:21:42, time: 1.893, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7331, decode.loss_mask: 0.7456, decode.loss_dice: 1.1334, decode.d0.loss_cls: 2.4435, decode.d0.loss_mask: 0.7753, decode.d0.loss_dice: 1.3260, decode.d1.loss_cls: 0.8087, decode.d1.loss_mask: 0.7835, decode.d1.loss_dice: 1.2370, decode.d2.loss_cls: 0.7677, decode.d2.loss_mask: 0.7626, decode.d2.loss_dice: 1.1833, decode.d3.loss_cls: 0.7563, decode.d3.loss_mask: 0.7550, decode.d3.loss_dice: 1.1565, decode.d4.loss_cls: 0.7478, decode.d4.loss_mask: 0.7550, decode.d4.loss_dice: 1.1589, decode.d5.loss_cls: 0.7453, decode.d5.loss_mask: 0.7516, decode.d5.loss_dice: 1.1484, decode.d6.loss_cls: 0.7385, decode.d6.loss_mask: 0.7453, decode.d6.loss_dice: 1.1329, decode.d7.loss_cls: 0.7370, decode.d7.loss_mask: 0.7474, decode.d7.loss_dice: 1.1279, decode.d8.loss_cls: 0.7299, decode.d8.loss_mask: 0.7494, decode.d8.loss_dice: 1.1367, loss: 28.5193 2022-09-13 15:40:17,455 - mmseg - INFO - Iter [66350/80000] lr: 2.450e-07, eta: 7:20:04, time: 1.845, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7197, decode.loss_mask: 0.7413, decode.loss_dice: 1.1316, decode.d0.loss_cls: 2.4008, decode.d0.loss_mask: 0.7528, decode.d0.loss_dice: 1.3134, decode.d1.loss_cls: 0.7907, decode.d1.loss_mask: 0.7723, decode.d1.loss_dice: 1.2242, decode.d2.loss_cls: 0.7494, decode.d2.loss_mask: 0.7627, decode.d2.loss_dice: 1.1793, decode.d3.loss_cls: 0.7391, decode.d3.loss_mask: 0.7516, decode.d3.loss_dice: 1.1491, decode.d4.loss_cls: 0.7300, decode.d4.loss_mask: 0.7499, decode.d4.loss_dice: 1.1404, decode.d5.loss_cls: 0.7278, decode.d5.loss_mask: 0.7444, decode.d5.loss_dice: 1.1407, decode.d6.loss_cls: 0.7276, decode.d6.loss_mask: 0.7407, decode.d6.loss_dice: 1.1271, decode.d7.loss_cls: 0.7242, decode.d7.loss_mask: 0.7407, decode.d7.loss_dice: 1.1289, decode.d8.loss_cls: 0.7219, decode.d8.loss_mask: 0.7410, decode.d8.loss_dice: 1.1357, loss: 28.1990 2022-09-13 15:41:51,466 - mmseg - INFO - Iter [66400/80000] lr: 2.441e-07, eta: 7:18:27, time: 1.880, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7530, decode.loss_mask: 0.7167, decode.loss_dice: 1.1569, decode.d0.loss_cls: 2.5147, decode.d0.loss_mask: 0.7425, decode.d0.loss_dice: 1.3361, decode.d1.loss_cls: 0.8395, decode.d1.loss_mask: 0.7542, decode.d1.loss_dice: 1.2546, decode.d2.loss_cls: 0.7893, decode.d2.loss_mask: 0.7345, decode.d2.loss_dice: 1.1990, decode.d3.loss_cls: 0.7681, decode.d3.loss_mask: 0.7304, decode.d3.loss_dice: 1.1761, decode.d4.loss_cls: 0.7677, decode.d4.loss_mask: 0.7260, decode.d4.loss_dice: 1.1747, decode.d5.loss_cls: 0.7593, decode.d5.loss_mask: 0.7223, decode.d5.loss_dice: 1.1683, decode.d6.loss_cls: 0.7553, decode.d6.loss_mask: 0.7225, decode.d6.loss_dice: 1.1552, decode.d7.loss_cls: 0.7542, decode.d7.loss_mask: 0.7208, decode.d7.loss_dice: 1.1546, decode.d8.loss_cls: 0.7551, decode.d8.loss_mask: 0.7204, decode.d8.loss_dice: 1.1557, loss: 28.6775 2022-09-13 15:43:25,770 - mmseg - INFO - Iter [66450/80000] lr: 2.432e-07, eta: 7:16:50, time: 1.886, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7019, decode.loss_mask: 0.7523, decode.loss_dice: 1.1334, decode.d0.loss_cls: 2.3846, decode.d0.loss_mask: 0.7698, decode.d0.loss_dice: 1.3118, decode.d1.loss_cls: 0.7841, decode.d1.loss_mask: 0.7892, decode.d1.loss_dice: 1.2308, decode.d2.loss_cls: 0.7315, decode.d2.loss_mask: 0.7779, decode.d2.loss_dice: 1.1871, decode.d3.loss_cls: 0.7192, decode.d3.loss_mask: 0.7697, decode.d3.loss_dice: 1.1624, decode.d4.loss_cls: 0.7209, decode.d4.loss_mask: 0.7586, decode.d4.loss_dice: 1.1519, decode.d5.loss_cls: 0.7169, decode.d5.loss_mask: 0.7545, decode.d5.loss_dice: 1.1482, decode.d6.loss_cls: 0.7029, decode.d6.loss_mask: 0.7609, decode.d6.loss_dice: 1.1425, decode.d7.loss_cls: 0.7048, decode.d7.loss_mask: 0.7577, decode.d7.loss_dice: 1.1348, decode.d8.loss_cls: 0.7033, decode.d8.loss_mask: 0.7520, decode.d8.loss_dice: 1.1380, loss: 28.2535 2022-09-13 15:44:58,931 - mmseg - INFO - Iter [66500/80000] lr: 2.423e-07, eta: 7:15:12, time: 1.863, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7580, decode.loss_mask: 0.7316, decode.loss_dice: 1.1657, decode.d0.loss_cls: 2.4944, decode.d0.loss_mask: 0.7562, decode.d0.loss_dice: 1.3560, decode.d1.loss_cls: 0.8314, decode.d1.loss_mask: 0.7642, decode.d1.loss_dice: 1.2675, decode.d2.loss_cls: 0.7820, decode.d2.loss_mask: 0.7482, decode.d2.loss_dice: 1.2112, decode.d3.loss_cls: 0.7699, decode.d3.loss_mask: 0.7418, decode.d3.loss_dice: 1.1884, decode.d4.loss_cls: 0.7687, decode.d4.loss_mask: 0.7402, decode.d4.loss_dice: 1.1839, decode.d5.loss_cls: 0.7623, decode.d5.loss_mask: 0.7368, decode.d5.loss_dice: 1.1769, decode.d6.loss_cls: 0.7511, decode.d6.loss_mask: 0.7344, decode.d6.loss_dice: 1.1660, decode.d7.loss_cls: 0.7565, decode.d7.loss_mask: 0.7347, decode.d7.loss_dice: 1.1660, decode.d8.loss_cls: 0.7555, decode.d8.loss_mask: 0.7326, decode.d8.loss_dice: 1.1693, loss: 28.9012 2022-09-13 15:46:35,507 - mmseg - INFO - Iter [66550/80000] lr: 2.414e-07, eta: 7:13:36, time: 1.931, data_time: 0.061, memory: 42763, decode.loss_cls: 0.7072, decode.loss_mask: 0.7265, decode.loss_dice: 1.1060, decode.d0.loss_cls: 2.4039, decode.d0.loss_mask: 0.7524, decode.d0.loss_dice: 1.2916, decode.d1.loss_cls: 0.7978, decode.d1.loss_mask: 0.7607, decode.d1.loss_dice: 1.2023, decode.d2.loss_cls: 0.7356, decode.d2.loss_mask: 0.7437, decode.d2.loss_dice: 1.1565, decode.d3.loss_cls: 0.7223, decode.d3.loss_mask: 0.7352, decode.d3.loss_dice: 1.1335, decode.d4.loss_cls: 0.7225, decode.d4.loss_mask: 0.7335, decode.d4.loss_dice: 1.1247, decode.d5.loss_cls: 0.7070, decode.d5.loss_mask: 0.7330, decode.d5.loss_dice: 1.1236, decode.d6.loss_cls: 0.7111, decode.d6.loss_mask: 0.7281, decode.d6.loss_dice: 1.1078, decode.d7.loss_cls: 0.7100, decode.d7.loss_mask: 0.7290, decode.d7.loss_dice: 1.1104, decode.d8.loss_cls: 0.7093, decode.d8.loss_mask: 0.7264, decode.d8.loss_dice: 1.1036, loss: 27.7550 2022-09-13 15:48:09,173 - mmseg - INFO - Iter [66600/80000] lr: 2.405e-07, eta: 7:11:58, time: 1.874, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7251, decode.loss_mask: 0.7540, decode.loss_dice: 1.1278, decode.d0.loss_cls: 2.4232, decode.d0.loss_mask: 0.7616, decode.d0.loss_dice: 1.3069, decode.d1.loss_cls: 0.8125, decode.d1.loss_mask: 0.7830, decode.d1.loss_dice: 1.2269, decode.d2.loss_cls: 0.7646, decode.d2.loss_mask: 0.7728, decode.d2.loss_dice: 1.1771, decode.d3.loss_cls: 0.7506, decode.d3.loss_mask: 0.7653, decode.d3.loss_dice: 1.1473, decode.d4.loss_cls: 0.7388, decode.d4.loss_mask: 0.7649, decode.d4.loss_dice: 1.1485, decode.d5.loss_cls: 0.7366, decode.d5.loss_mask: 0.7602, decode.d5.loss_dice: 1.1385, decode.d6.loss_cls: 0.7311, decode.d6.loss_mask: 0.7578, decode.d6.loss_dice: 1.1309, decode.d7.loss_cls: 0.7324, decode.d7.loss_mask: 0.7541, decode.d7.loss_dice: 1.1328, decode.d8.loss_cls: 0.7217, decode.d8.loss_mask: 0.7581, decode.d8.loss_dice: 1.1316, loss: 28.4369 2022-09-13 15:49:42,654 - mmseg - INFO - Iter [66650/80000] lr: 2.396e-07, eta: 7:10:21, time: 1.870, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7200, decode.loss_mask: 0.7011, decode.loss_dice: 1.1047, decode.d0.loss_cls: 2.4529, decode.d0.loss_mask: 0.7394, decode.d0.loss_dice: 1.2909, decode.d1.loss_cls: 0.7964, decode.d1.loss_mask: 0.7445, decode.d1.loss_dice: 1.2025, decode.d2.loss_cls: 0.7520, decode.d2.loss_mask: 0.7239, decode.d2.loss_dice: 1.1488, decode.d3.loss_cls: 0.7390, decode.d3.loss_mask: 0.7148, decode.d3.loss_dice: 1.1271, decode.d4.loss_cls: 0.7292, decode.d4.loss_mask: 0.7158, decode.d4.loss_dice: 1.1229, decode.d5.loss_cls: 0.7296, decode.d5.loss_mask: 0.7095, decode.d5.loss_dice: 1.1178, decode.d6.loss_cls: 0.7274, decode.d6.loss_mask: 0.7025, decode.d6.loss_dice: 1.1048, decode.d7.loss_cls: 0.7157, decode.d7.loss_mask: 0.7056, decode.d7.loss_dice: 1.1098, decode.d8.loss_cls: 0.7178, decode.d8.loss_mask: 0.7049, decode.d8.loss_dice: 1.1093, loss: 27.6804 2022-09-13 15:51:16,346 - mmseg - INFO - Iter [66700/80000] lr: 2.387e-07, eta: 7:08:44, time: 1.874, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7096, decode.loss_mask: 0.7423, decode.loss_dice: 1.1209, decode.d0.loss_cls: 2.3877, decode.d0.loss_mask: 0.7593, decode.d0.loss_dice: 1.2948, decode.d1.loss_cls: 0.7840, decode.d1.loss_mask: 0.7791, decode.d1.loss_dice: 1.2198, decode.d2.loss_cls: 0.7477, decode.d2.loss_mask: 0.7578, decode.d2.loss_dice: 1.1654, decode.d3.loss_cls: 0.7352, decode.d3.loss_mask: 0.7453, decode.d3.loss_dice: 1.1364, decode.d4.loss_cls: 0.7276, decode.d4.loss_mask: 0.7455, decode.d4.loss_dice: 1.1368, decode.d5.loss_cls: 0.7120, decode.d5.loss_mask: 0.7464, decode.d5.loss_dice: 1.1345, decode.d6.loss_cls: 0.7103, decode.d6.loss_mask: 0.7448, decode.d6.loss_dice: 1.1259, decode.d7.loss_cls: 0.7082, decode.d7.loss_mask: 0.7458, decode.d7.loss_dice: 1.1242, decode.d8.loss_cls: 0.7094, decode.d8.loss_mask: 0.7392, decode.d8.loss_dice: 1.1191, loss: 28.0150 2022-09-13 15:52:50,937 - mmseg - INFO - Iter [66750/80000] lr: 2.378e-07, eta: 7:07:07, time: 1.892, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7353, decode.loss_mask: 0.7051, decode.loss_dice: 1.1226, decode.d0.loss_cls: 2.4785, decode.d0.loss_mask: 0.7332, decode.d0.loss_dice: 1.3172, decode.d1.loss_cls: 0.8272, decode.d1.loss_mask: 0.7420, decode.d1.loss_dice: 1.2289, decode.d2.loss_cls: 0.7630, decode.d2.loss_mask: 0.7265, decode.d2.loss_dice: 1.1693, decode.d3.loss_cls: 0.7534, decode.d3.loss_mask: 0.7142, decode.d3.loss_dice: 1.1437, decode.d4.loss_cls: 0.7450, decode.d4.loss_mask: 0.7083, decode.d4.loss_dice: 1.1388, decode.d5.loss_cls: 0.7401, decode.d5.loss_mask: 0.7065, decode.d5.loss_dice: 1.1326, decode.d6.loss_cls: 0.7481, decode.d6.loss_mask: 0.7041, decode.d6.loss_dice: 1.1235, decode.d7.loss_cls: 0.7335, decode.d7.loss_mask: 0.7051, decode.d7.loss_dice: 1.1298, decode.d8.loss_cls: 0.7315, decode.d8.loss_mask: 0.7070, decode.d8.loss_dice: 1.1298, loss: 28.0440 2022-09-13 15:54:24,712 - mmseg - INFO - Iter [66800/80000] lr: 2.369e-07, eta: 7:05:29, time: 1.874, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7111, decode.loss_mask: 0.7281, decode.loss_dice: 1.1393, decode.d0.loss_cls: 2.4851, decode.d0.loss_mask: 0.7458, decode.d0.loss_dice: 1.3126, decode.d1.loss_cls: 0.7969, decode.d1.loss_mask: 0.7631, decode.d1.loss_dice: 1.2298, decode.d2.loss_cls: 0.7523, decode.d2.loss_mask: 0.7468, decode.d2.loss_dice: 1.1826, decode.d3.loss_cls: 0.7359, decode.d3.loss_mask: 0.7331, decode.d3.loss_dice: 1.1614, decode.d4.loss_cls: 0.7290, decode.d4.loss_mask: 0.7280, decode.d4.loss_dice: 1.1524, decode.d5.loss_cls: 0.7218, decode.d5.loss_mask: 0.7263, decode.d5.loss_dice: 1.1526, decode.d6.loss_cls: 0.7130, decode.d6.loss_mask: 0.7261, decode.d6.loss_dice: 1.1393, decode.d7.loss_cls: 0.7158, decode.d7.loss_mask: 0.7215, decode.d7.loss_dice: 1.1355, decode.d8.loss_cls: 0.7124, decode.d8.loss_mask: 0.7236, decode.d8.loss_dice: 1.1383, loss: 28.1596 2022-09-13 15:55:56,661 - mmseg - INFO - Iter [66850/80000] lr: 2.360e-07, eta: 7:03:52, time: 1.840, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7529, decode.loss_mask: 0.7514, decode.loss_dice: 1.1662, decode.d0.loss_cls: 2.4835, decode.d0.loss_mask: 0.7713, decode.d0.loss_dice: 1.3450, decode.d1.loss_cls: 0.8493, decode.d1.loss_mask: 0.7793, decode.d1.loss_dice: 1.2591, decode.d2.loss_cls: 0.7868, decode.d2.loss_mask: 0.7650, decode.d2.loss_dice: 1.2082, decode.d3.loss_cls: 0.7767, decode.d3.loss_mask: 0.7619, decode.d3.loss_dice: 1.1945, decode.d4.loss_cls: 0.7627, decode.d4.loss_mask: 0.7588, decode.d4.loss_dice: 1.1877, decode.d5.loss_cls: 0.7589, decode.d5.loss_mask: 0.7531, decode.d5.loss_dice: 1.1771, decode.d6.loss_cls: 0.7539, decode.d6.loss_mask: 0.7495, decode.d6.loss_dice: 1.1801, decode.d7.loss_cls: 0.7503, decode.d7.loss_mask: 0.7524, decode.d7.loss_dice: 1.1753, decode.d8.loss_cls: 0.7470, decode.d8.loss_mask: 0.7540, decode.d8.loss_dice: 1.1743, loss: 29.0864 2022-09-13 15:57:29,338 - mmseg - INFO - Iter [66900/80000] lr: 2.351e-07, eta: 7:02:14, time: 1.853, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7379, decode.loss_mask: 0.7489, decode.loss_dice: 1.1541, decode.d0.loss_cls: 2.4843, decode.d0.loss_mask: 0.7681, decode.d0.loss_dice: 1.3464, decode.d1.loss_cls: 0.8331, decode.d1.loss_mask: 0.7805, decode.d1.loss_dice: 1.2516, decode.d2.loss_cls: 0.7754, decode.d2.loss_mask: 0.7639, decode.d2.loss_dice: 1.1969, decode.d3.loss_cls: 0.7629, decode.d3.loss_mask: 0.7580, decode.d3.loss_dice: 1.1798, decode.d4.loss_cls: 0.7537, decode.d4.loss_mask: 0.7569, decode.d4.loss_dice: 1.1747, decode.d5.loss_cls: 0.7429, decode.d5.loss_mask: 0.7522, decode.d5.loss_dice: 1.1638, decode.d6.loss_cls: 0.7440, decode.d6.loss_mask: 0.7501, decode.d6.loss_dice: 1.1583, decode.d7.loss_cls: 0.7387, decode.d7.loss_mask: 0.7479, decode.d7.loss_dice: 1.1576, decode.d8.loss_cls: 0.7409, decode.d8.loss_mask: 0.7487, decode.d8.loss_dice: 1.1575, loss: 28.8298 2022-09-13 15:59:02,387 - mmseg - INFO - Iter [66950/80000] lr: 2.342e-07, eta: 7:00:37, time: 1.861, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7032, decode.loss_mask: 0.7308, decode.loss_dice: 1.1098, decode.d0.loss_cls: 2.3494, decode.d0.loss_mask: 0.7655, decode.d0.loss_dice: 1.2897, decode.d1.loss_cls: 0.7616, decode.d1.loss_mask: 0.7697, decode.d1.loss_dice: 1.2073, decode.d2.loss_cls: 0.7233, decode.d2.loss_mask: 0.7512, decode.d2.loss_dice: 1.1582, decode.d3.loss_cls: 0.7066, decode.d3.loss_mask: 0.7482, decode.d3.loss_dice: 1.1366, decode.d4.loss_cls: 0.7082, decode.d4.loss_mask: 0.7405, decode.d4.loss_dice: 1.1353, decode.d5.loss_cls: 0.7025, decode.d5.loss_mask: 0.7393, decode.d5.loss_dice: 1.1258, decode.d6.loss_cls: 0.6983, decode.d6.loss_mask: 0.7362, decode.d6.loss_dice: 1.1198, decode.d7.loss_cls: 0.6982, decode.d7.loss_mask: 0.7336, decode.d7.loss_dice: 1.1183, decode.d8.loss_cls: 0.7001, decode.d8.loss_mask: 0.7306, decode.d8.loss_dice: 1.1149, loss: 27.7128 2022-09-13 16:00:35,898 - mmseg - INFO - Saving checkpoint at 67000 iterations 2022-09-13 16:01:07,742 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 16:01:07,744 - mmseg - INFO - Iter [67000/80000] lr: 2.333e-07, eta: 6:59:06, time: 2.505, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7040, decode.loss_mask: 0.7166, decode.loss_dice: 1.0926, decode.d0.loss_cls: 2.3998, decode.d0.loss_mask: 0.7548, decode.d0.loss_dice: 1.2648, decode.d1.loss_cls: 0.7846, decode.d1.loss_mask: 0.7557, decode.d1.loss_dice: 1.1810, decode.d2.loss_cls: 0.7379, decode.d2.loss_mask: 0.7389, decode.d2.loss_dice: 1.1391, decode.d3.loss_cls: 0.7209, decode.d3.loss_mask: 0.7333, decode.d3.loss_dice: 1.1207, decode.d4.loss_cls: 0.7165, decode.d4.loss_mask: 0.7298, decode.d4.loss_dice: 1.1083, decode.d5.loss_cls: 0.7065, decode.d5.loss_mask: 0.7285, decode.d5.loss_dice: 1.1062, decode.d6.loss_cls: 0.7028, decode.d6.loss_mask: 0.7227, decode.d6.loss_dice: 1.0902, decode.d7.loss_cls: 0.7042, decode.d7.loss_mask: 0.7182, decode.d7.loss_dice: 1.0955, decode.d8.loss_cls: 0.7005, decode.d8.loss_mask: 0.7190, decode.d8.loss_dice: 1.0963, loss: 27.4897 2022-09-13 16:02:42,244 - mmseg - INFO - Iter [67050/80000] lr: 2.324e-07, eta: 6:57:29, time: 1.890, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7172, decode.loss_mask: 0.7470, decode.loss_dice: 1.1443, decode.d0.loss_cls: 2.4435, decode.d0.loss_mask: 0.7668, decode.d0.loss_dice: 1.3360, decode.d1.loss_cls: 0.8007, decode.d1.loss_mask: 0.7773, decode.d1.loss_dice: 1.2392, decode.d2.loss_cls: 0.7454, decode.d2.loss_mask: 0.7606, decode.d2.loss_dice: 1.1919, decode.d3.loss_cls: 0.7311, decode.d3.loss_mask: 0.7520, decode.d3.loss_dice: 1.1629, decode.d4.loss_cls: 0.7320, decode.d4.loss_mask: 0.7502, decode.d4.loss_dice: 1.1644, decode.d5.loss_cls: 0.7221, decode.d5.loss_mask: 0.7515, decode.d5.loss_dice: 1.1584, decode.d6.loss_cls: 0.7183, decode.d6.loss_mask: 0.7477, decode.d6.loss_dice: 1.1457, decode.d7.loss_cls: 0.7184, decode.d7.loss_mask: 0.7481, decode.d7.loss_dice: 1.1439, decode.d8.loss_cls: 0.7167, decode.d8.loss_mask: 0.7486, decode.d8.loss_dice: 1.1433, loss: 28.4254 2022-09-13 16:04:15,902 - mmseg - INFO - Iter [67100/80000] lr: 2.315e-07, eta: 6:55:51, time: 1.875, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7076, decode.loss_mask: 0.7307, decode.loss_dice: 1.1270, decode.d0.loss_cls: 2.4102, decode.d0.loss_mask: 0.7583, decode.d0.loss_dice: 1.3137, decode.d1.loss_cls: 0.7892, decode.d1.loss_mask: 0.7682, decode.d1.loss_dice: 1.2214, decode.d2.loss_cls: 0.7373, decode.d2.loss_mask: 0.7540, decode.d2.loss_dice: 1.1694, decode.d3.loss_cls: 0.7233, decode.d3.loss_mask: 0.7455, decode.d3.loss_dice: 1.1550, decode.d4.loss_cls: 0.7212, decode.d4.loss_mask: 0.7408, decode.d4.loss_dice: 1.1493, decode.d5.loss_cls: 0.7147, decode.d5.loss_mask: 0.7410, decode.d5.loss_dice: 1.1408, decode.d6.loss_cls: 0.7121, decode.d6.loss_mask: 0.7341, decode.d6.loss_dice: 1.1302, decode.d7.loss_cls: 0.7145, decode.d7.loss_mask: 0.7272, decode.d7.loss_dice: 1.1243, decode.d8.loss_cls: 0.7124, decode.d8.loss_mask: 0.7292, decode.d8.loss_dice: 1.1281, loss: 28.0307 2022-09-13 16:05:49,249 - mmseg - INFO - Iter [67150/80000] lr: 2.306e-07, eta: 6:54:14, time: 1.866, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7464, decode.loss_mask: 0.7761, decode.loss_dice: 1.1671, decode.d0.loss_cls: 2.4441, decode.d0.loss_mask: 0.7939, decode.d0.loss_dice: 1.3416, decode.d1.loss_cls: 0.8360, decode.d1.loss_mask: 0.8028, decode.d1.loss_dice: 1.2429, decode.d2.loss_cls: 0.7801, decode.d2.loss_mask: 0.7878, decode.d2.loss_dice: 1.2020, decode.d3.loss_cls: 0.7681, decode.d3.loss_mask: 0.7787, decode.d3.loss_dice: 1.1845, decode.d4.loss_cls: 0.7674, decode.d4.loss_mask: 0.7766, decode.d4.loss_dice: 1.1768, decode.d5.loss_cls: 0.7644, decode.d5.loss_mask: 0.7783, decode.d5.loss_dice: 1.1747, decode.d6.loss_cls: 0.7589, decode.d6.loss_mask: 0.7749, decode.d6.loss_dice: 1.1650, decode.d7.loss_cls: 0.7568, decode.d7.loss_mask: 0.7779, decode.d7.loss_dice: 1.1614, decode.d8.loss_cls: 0.7545, decode.d8.loss_mask: 0.7754, decode.d8.loss_dice: 1.1639, loss: 29.1789 2022-09-13 16:07:23,356 - mmseg - INFO - Iter [67200/80000] lr: 2.297e-07, eta: 6:52:37, time: 1.883, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7458, decode.loss_mask: 0.7383, decode.loss_dice: 1.1599, decode.d0.loss_cls: 2.4755, decode.d0.loss_mask: 0.7635, decode.d0.loss_dice: 1.3491, decode.d1.loss_cls: 0.8373, decode.d1.loss_mask: 0.7807, decode.d1.loss_dice: 1.2594, decode.d2.loss_cls: 0.7835, decode.d2.loss_mask: 0.7604, decode.d2.loss_dice: 1.2011, decode.d3.loss_cls: 0.7739, decode.d3.loss_mask: 0.7496, decode.d3.loss_dice: 1.1764, decode.d4.loss_cls: 0.7657, decode.d4.loss_mask: 0.7503, decode.d4.loss_dice: 1.1765, decode.d5.loss_cls: 0.7463, decode.d5.loss_mask: 0.7505, decode.d5.loss_dice: 1.1715, decode.d6.loss_cls: 0.7500, decode.d6.loss_mask: 0.7405, decode.d6.loss_dice: 1.1584, decode.d7.loss_cls: 0.7487, decode.d7.loss_mask: 0.7388, decode.d7.loss_dice: 1.1637, decode.d8.loss_cls: 0.7433, decode.d8.loss_mask: 0.7386, decode.d8.loss_dice: 1.1611, loss: 28.8582 2022-09-13 16:08:57,329 - mmseg - INFO - Iter [67250/80000] lr: 2.288e-07, eta: 6:50:59, time: 1.879, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7799, decode.loss_mask: 0.7526, decode.loss_dice: 1.1733, decode.d0.loss_cls: 2.5068, decode.d0.loss_mask: 0.7741, decode.d0.loss_dice: 1.3730, decode.d1.loss_cls: 0.8623, decode.d1.loss_mask: 0.7858, decode.d1.loss_dice: 1.2760, decode.d2.loss_cls: 0.8062, decode.d2.loss_mask: 0.7695, decode.d2.loss_dice: 1.2162, decode.d3.loss_cls: 0.7916, decode.d3.loss_mask: 0.7656, decode.d3.loss_dice: 1.1921, decode.d4.loss_cls: 0.7855, decode.d4.loss_mask: 0.7602, decode.d4.loss_dice: 1.1932, decode.d5.loss_cls: 0.7776, decode.d5.loss_mask: 0.7588, decode.d5.loss_dice: 1.1870, decode.d6.loss_cls: 0.7777, decode.d6.loss_mask: 0.7561, decode.d6.loss_dice: 1.1751, decode.d7.loss_cls: 0.7777, decode.d7.loss_mask: 0.7550, decode.d7.loss_dice: 1.1762, decode.d8.loss_cls: 0.7739, decode.d8.loss_mask: 0.7544, decode.d8.loss_dice: 1.1786, loss: 29.4119 2022-09-13 16:10:31,209 - mmseg - INFO - Iter [67300/80000] lr: 2.280e-07, eta: 6:49:22, time: 1.876, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7200, decode.loss_mask: 0.7609, decode.loss_dice: 1.1638, decode.d0.loss_cls: 2.4245, decode.d0.loss_mask: 0.7867, decode.d0.loss_dice: 1.3297, decode.d1.loss_cls: 0.7985, decode.d1.loss_mask: 0.7929, decode.d1.loss_dice: 1.2497, decode.d2.loss_cls: 0.7471, decode.d2.loss_mask: 0.7728, decode.d2.loss_dice: 1.1977, decode.d3.loss_cls: 0.7422, decode.d3.loss_mask: 0.7713, decode.d3.loss_dice: 1.1812, decode.d4.loss_cls: 0.7336, decode.d4.loss_mask: 0.7687, decode.d4.loss_dice: 1.1741, decode.d5.loss_cls: 0.7304, decode.d5.loss_mask: 0.7661, decode.d5.loss_dice: 1.1711, decode.d6.loss_cls: 0.7278, decode.d6.loss_mask: 0.7643, decode.d6.loss_dice: 1.1613, decode.d7.loss_cls: 0.7285, decode.d7.loss_mask: 0.7617, decode.d7.loss_dice: 1.1627, decode.d8.loss_cls: 0.7189, decode.d8.loss_mask: 0.7608, decode.d8.loss_dice: 1.1599, loss: 28.7286 2022-09-13 16:12:03,144 - mmseg - INFO - Iter [67350/80000] lr: 2.271e-07, eta: 6:47:45, time: 1.841, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7254, decode.loss_mask: 0.7293, decode.loss_dice: 1.1259, decode.d0.loss_cls: 2.4764, decode.d0.loss_mask: 0.7560, decode.d0.loss_dice: 1.3215, decode.d1.loss_cls: 0.8184, decode.d1.loss_mask: 0.7636, decode.d1.loss_dice: 1.2294, decode.d2.loss_cls: 0.7508, decode.d2.loss_mask: 0.7534, decode.d2.loss_dice: 1.1832, decode.d3.loss_cls: 0.7372, decode.d3.loss_mask: 0.7447, decode.d3.loss_dice: 1.1553, decode.d4.loss_cls: 0.7287, decode.d4.loss_mask: 0.7417, decode.d4.loss_dice: 1.1488, decode.d5.loss_cls: 0.7225, decode.d5.loss_mask: 0.7404, decode.d5.loss_dice: 1.1449, decode.d6.loss_cls: 0.7234, decode.d6.loss_mask: 0.7369, decode.d6.loss_dice: 1.1386, decode.d7.loss_cls: 0.7180, decode.d7.loss_mask: 0.7339, decode.d7.loss_dice: 1.1308, decode.d8.loss_cls: 0.7224, decode.d8.loss_mask: 0.7317, decode.d8.loss_dice: 1.1296, loss: 28.2626 2022-09-13 16:13:35,131 - mmseg - INFO - Iter [67400/80000] lr: 2.262e-07, eta: 6:46:07, time: 1.840, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7480, decode.loss_mask: 0.7424, decode.loss_dice: 1.1536, decode.d0.loss_cls: 2.4648, decode.d0.loss_mask: 0.7628, decode.d0.loss_dice: 1.3421, decode.d1.loss_cls: 0.8316, decode.d1.loss_mask: 0.7779, decode.d1.loss_dice: 1.2447, decode.d2.loss_cls: 0.7780, decode.d2.loss_mask: 0.7612, decode.d2.loss_dice: 1.2070, decode.d3.loss_cls: 0.7659, decode.d3.loss_mask: 0.7535, decode.d3.loss_dice: 1.1803, decode.d4.loss_cls: 0.7614, decode.d4.loss_mask: 0.7504, decode.d4.loss_dice: 1.1742, decode.d5.loss_cls: 0.7504, decode.d5.loss_mask: 0.7465, decode.d5.loss_dice: 1.1683, decode.d6.loss_cls: 0.7473, decode.d6.loss_mask: 0.7414, decode.d6.loss_dice: 1.1597, decode.d7.loss_cls: 0.7456, decode.d7.loss_mask: 0.7405, decode.d7.loss_dice: 1.1562, decode.d8.loss_cls: 0.7455, decode.d8.loss_mask: 0.7391, decode.d8.loss_dice: 1.1560, loss: 28.7962 2022-09-13 16:15:07,528 - mmseg - INFO - Iter [67450/80000] lr: 2.253e-07, eta: 6:44:30, time: 1.848, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7328, decode.loss_mask: 0.7290, decode.loss_dice: 1.1296, decode.d0.loss_cls: 2.4521, decode.d0.loss_mask: 0.7519, decode.d0.loss_dice: 1.3026, decode.d1.loss_cls: 0.8165, decode.d1.loss_mask: 0.7581, decode.d1.loss_dice: 1.2200, decode.d2.loss_cls: 0.7662, decode.d2.loss_mask: 0.7423, decode.d2.loss_dice: 1.1814, decode.d3.loss_cls: 0.7545, decode.d3.loss_mask: 0.7331, decode.d3.loss_dice: 1.1551, decode.d4.loss_cls: 0.7432, decode.d4.loss_mask: 0.7329, decode.d4.loss_dice: 1.1492, decode.d5.loss_cls: 0.7403, decode.d5.loss_mask: 0.7302, decode.d5.loss_dice: 1.1403, decode.d6.loss_cls: 0.7401, decode.d6.loss_mask: 0.7248, decode.d6.loss_dice: 1.1311, decode.d7.loss_cls: 0.7344, decode.d7.loss_mask: 0.7252, decode.d7.loss_dice: 1.1302, decode.d8.loss_cls: 0.7305, decode.d8.loss_mask: 0.7281, decode.d8.loss_dice: 1.1256, loss: 28.2315 2022-09-13 16:16:41,061 - mmseg - INFO - Iter [67500/80000] lr: 2.244e-07, eta: 6:42:52, time: 1.870, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7309, decode.loss_mask: 0.7367, decode.loss_dice: 1.1197, decode.d0.loss_cls: 2.4354, decode.d0.loss_mask: 0.7703, decode.d0.loss_dice: 1.3084, decode.d1.loss_cls: 0.8257, decode.d1.loss_mask: 0.7734, decode.d1.loss_dice: 1.2093, decode.d2.loss_cls: 0.7680, decode.d2.loss_mask: 0.7532, decode.d2.loss_dice: 1.1647, decode.d3.loss_cls: 0.7536, decode.d3.loss_mask: 0.7455, decode.d3.loss_dice: 1.1408, decode.d4.loss_cls: 0.7386, decode.d4.loss_mask: 0.7483, decode.d4.loss_dice: 1.1408, decode.d5.loss_cls: 0.7395, decode.d5.loss_mask: 0.7448, decode.d5.loss_dice: 1.1286, decode.d6.loss_cls: 0.7291, decode.d6.loss_mask: 0.7415, decode.d6.loss_dice: 1.1223, decode.d7.loss_cls: 0.7236, decode.d7.loss_mask: 0.7413, decode.d7.loss_dice: 1.1248, decode.d8.loss_cls: 0.7256, decode.d8.loss_mask: 0.7380, decode.d8.loss_dice: 1.1218, loss: 28.2445 2022-09-13 16:18:15,744 - mmseg - INFO - Iter [67550/80000] lr: 2.235e-07, eta: 6:41:15, time: 1.894, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7363, decode.loss_mask: 0.7195, decode.loss_dice: 1.1426, decode.d0.loss_cls: 2.4357, decode.d0.loss_mask: 0.7458, decode.d0.loss_dice: 1.3385, decode.d1.loss_cls: 0.8315, decode.d1.loss_mask: 0.7561, decode.d1.loss_dice: 1.2481, decode.d2.loss_cls: 0.7685, decode.d2.loss_mask: 0.7392, decode.d2.loss_dice: 1.1963, decode.d3.loss_cls: 0.7537, decode.d3.loss_mask: 0.7286, decode.d3.loss_dice: 1.1727, decode.d4.loss_cls: 0.7417, decode.d4.loss_mask: 0.7274, decode.d4.loss_dice: 1.1748, decode.d5.loss_cls: 0.7405, decode.d5.loss_mask: 0.7226, decode.d5.loss_dice: 1.1681, decode.d6.loss_cls: 0.7425, decode.d6.loss_mask: 0.7214, decode.d6.loss_dice: 1.1529, decode.d7.loss_cls: 0.7370, decode.d7.loss_mask: 0.7192, decode.d7.loss_dice: 1.1491, decode.d8.loss_cls: 0.7357, decode.d8.loss_mask: 0.7183, decode.d8.loss_dice: 1.1495, loss: 28.4140 2022-09-13 16:19:48,787 - mmseg - INFO - Iter [67600/80000] lr: 2.226e-07, eta: 6:39:38, time: 1.860, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7658, decode.loss_mask: 0.7127, decode.loss_dice: 1.1524, decode.d0.loss_cls: 2.4836, decode.d0.loss_mask: 0.7350, decode.d0.loss_dice: 1.3445, decode.d1.loss_cls: 0.8631, decode.d1.loss_mask: 0.7446, decode.d1.loss_dice: 1.2523, decode.d2.loss_cls: 0.8016, decode.d2.loss_mask: 0.7305, decode.d2.loss_dice: 1.1979, decode.d3.loss_cls: 0.7911, decode.d3.loss_mask: 0.7250, decode.d3.loss_dice: 1.1757, decode.d4.loss_cls: 0.7786, decode.d4.loss_mask: 0.7197, decode.d4.loss_dice: 1.1719, decode.d5.loss_cls: 0.7765, decode.d5.loss_mask: 0.7159, decode.d5.loss_dice: 1.1661, decode.d6.loss_cls: 0.7705, decode.d6.loss_mask: 0.7153, decode.d6.loss_dice: 1.1579, decode.d7.loss_cls: 0.7701, decode.d7.loss_mask: 0.7105, decode.d7.loss_dice: 1.1515, decode.d8.loss_cls: 0.7623, decode.d8.loss_mask: 0.7144, decode.d8.loss_dice: 1.1575, loss: 28.7146 2022-09-13 16:21:21,395 - mmseg - INFO - Iter [67650/80000] lr: 2.217e-07, eta: 6:38:00, time: 1.853, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7429, decode.loss_mask: 0.7296, decode.loss_dice: 1.1473, decode.d0.loss_cls: 2.4764, decode.d0.loss_mask: 0.7588, decode.d0.loss_dice: 1.3343, decode.d1.loss_cls: 0.8223, decode.d1.loss_mask: 0.7705, decode.d1.loss_dice: 1.2480, decode.d2.loss_cls: 0.7788, decode.d2.loss_mask: 0.7488, decode.d2.loss_dice: 1.1918, decode.d3.loss_cls: 0.7658, decode.d3.loss_mask: 0.7377, decode.d3.loss_dice: 1.1694, decode.d4.loss_cls: 0.7639, decode.d4.loss_mask: 0.7328, decode.d4.loss_dice: 1.1635, decode.d5.loss_cls: 0.7477, decode.d5.loss_mask: 0.7327, decode.d5.loss_dice: 1.1604, decode.d6.loss_cls: 0.7419, decode.d6.loss_mask: 0.7343, decode.d6.loss_dice: 1.1482, decode.d7.loss_cls: 0.7464, decode.d7.loss_mask: 0.7290, decode.d7.loss_dice: 1.1483, decode.d8.loss_cls: 0.7413, decode.d8.loss_mask: 0.7317, decode.d8.loss_dice: 1.1471, loss: 28.5915 2022-09-13 16:22:53,982 - mmseg - INFO - Iter [67700/80000] lr: 2.208e-07, eta: 6:36:23, time: 1.852, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7054, decode.loss_mask: 0.7406, decode.loss_dice: 1.1073, decode.d0.loss_cls: 2.4106, decode.d0.loss_mask: 0.7792, decode.d0.loss_dice: 1.3048, decode.d1.loss_cls: 0.7824, decode.d1.loss_mask: 0.7885, decode.d1.loss_dice: 1.2115, decode.d2.loss_cls: 0.7363, decode.d2.loss_mask: 0.7644, decode.d2.loss_dice: 1.1574, decode.d3.loss_cls: 0.7208, decode.d3.loss_mask: 0.7559, decode.d3.loss_dice: 1.1373, decode.d4.loss_cls: 0.7135, decode.d4.loss_mask: 0.7535, decode.d4.loss_dice: 1.1300, decode.d5.loss_cls: 0.7151, decode.d5.loss_mask: 0.7472, decode.d5.loss_dice: 1.1212, decode.d6.loss_cls: 0.7061, decode.d6.loss_mask: 0.7453, decode.d6.loss_dice: 1.1157, decode.d7.loss_cls: 0.7097, decode.d7.loss_mask: 0.7419, decode.d7.loss_dice: 1.1131, decode.d8.loss_cls: 0.7057, decode.d8.loss_mask: 0.7414, decode.d8.loss_dice: 1.1099, loss: 27.9717 2022-09-13 16:24:26,172 - mmseg - INFO - Iter [67750/80000] lr: 2.199e-07, eta: 6:34:45, time: 1.844, data_time: 0.014, memory: 42763, decode.loss_cls: 0.6984, decode.loss_mask: 0.7561, decode.loss_dice: 1.1161, decode.d0.loss_cls: 2.3812, decode.d0.loss_mask: 0.7793, decode.d0.loss_dice: 1.2824, decode.d1.loss_cls: 0.7707, decode.d1.loss_mask: 0.7901, decode.d1.loss_dice: 1.2110, decode.d2.loss_cls: 0.7269, decode.d2.loss_mask: 0.7753, decode.d2.loss_dice: 1.1647, decode.d3.loss_cls: 0.7171, decode.d3.loss_mask: 0.7596, decode.d3.loss_dice: 1.1349, decode.d4.loss_cls: 0.7113, decode.d4.loss_mask: 0.7599, decode.d4.loss_dice: 1.1341, decode.d5.loss_cls: 0.7016, decode.d5.loss_mask: 0.7596, decode.d5.loss_dice: 1.1284, decode.d6.loss_cls: 0.6993, decode.d6.loss_mask: 0.7586, decode.d6.loss_dice: 1.1144, decode.d7.loss_cls: 0.6962, decode.d7.loss_mask: 0.7558, decode.d7.loss_dice: 1.1138, decode.d8.loss_cls: 0.6952, decode.d8.loss_mask: 0.7556, decode.d8.loss_dice: 1.1157, loss: 27.9634 2022-09-13 16:25:58,867 - mmseg - INFO - Iter [67800/80000] lr: 2.190e-07, eta: 6:33:08, time: 1.854, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7527, decode.loss_mask: 0.7323, decode.loss_dice: 1.1338, decode.d0.loss_cls: 2.4432, decode.d0.loss_mask: 0.7578, decode.d0.loss_dice: 1.3234, decode.d1.loss_cls: 0.8248, decode.d1.loss_mask: 0.7670, decode.d1.loss_dice: 1.2348, decode.d2.loss_cls: 0.7769, decode.d2.loss_mask: 0.7485, decode.d2.loss_dice: 1.1834, decode.d3.loss_cls: 0.7710, decode.d3.loss_mask: 0.7395, decode.d3.loss_dice: 1.1549, decode.d4.loss_cls: 0.7620, decode.d4.loss_mask: 0.7373, decode.d4.loss_dice: 1.1575, decode.d5.loss_cls: 0.7539, decode.d5.loss_mask: 0.7392, decode.d5.loss_dice: 1.1499, decode.d6.loss_cls: 0.7537, decode.d6.loss_mask: 0.7351, decode.d6.loss_dice: 1.1335, decode.d7.loss_cls: 0.7555, decode.d7.loss_mask: 0.7341, decode.d7.loss_dice: 1.1367, decode.d8.loss_cls: 0.7568, decode.d8.loss_mask: 0.7340, decode.d8.loss_dice: 1.1361, loss: 28.5192 2022-09-13 16:27:32,635 - mmseg - INFO - Iter [67850/80000] lr: 2.181e-07, eta: 6:31:31, time: 1.875, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7428, decode.loss_mask: 0.7375, decode.loss_dice: 1.1449, decode.d0.loss_cls: 2.4463, decode.d0.loss_mask: 0.7580, decode.d0.loss_dice: 1.3351, decode.d1.loss_cls: 0.8276, decode.d1.loss_mask: 0.7739, decode.d1.loss_dice: 1.2415, decode.d2.loss_cls: 0.7749, decode.d2.loss_mask: 0.7588, decode.d2.loss_dice: 1.1905, decode.d3.loss_cls: 0.7630, decode.d3.loss_mask: 0.7518, decode.d3.loss_dice: 1.1724, decode.d4.loss_cls: 0.7616, decode.d4.loss_mask: 0.7508, decode.d4.loss_dice: 1.1681, decode.d5.loss_cls: 0.7507, decode.d5.loss_mask: 0.7456, decode.d5.loss_dice: 1.1658, decode.d6.loss_cls: 0.7538, decode.d6.loss_mask: 0.7371, decode.d6.loss_dice: 1.1478, decode.d7.loss_cls: 0.7409, decode.d7.loss_mask: 0.7387, decode.d7.loss_dice: 1.1451, decode.d8.loss_cls: 0.7406, decode.d8.loss_mask: 0.7357, decode.d8.loss_dice: 1.1445, loss: 28.6459 2022-09-13 16:29:05,954 - mmseg - INFO - Iter [67900/80000] lr: 2.172e-07, eta: 6:29:54, time: 1.866, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7242, decode.loss_mask: 0.7677, decode.loss_dice: 1.1422, decode.d0.loss_cls: 2.4100, decode.d0.loss_mask: 0.7951, decode.d0.loss_dice: 1.3247, decode.d1.loss_cls: 0.8102, decode.d1.loss_mask: 0.8012, decode.d1.loss_dice: 1.2319, decode.d2.loss_cls: 0.7521, decode.d2.loss_mask: 0.7883, decode.d2.loss_dice: 1.1938, decode.d3.loss_cls: 0.7486, decode.d3.loss_mask: 0.7753, decode.d3.loss_dice: 1.1695, decode.d4.loss_cls: 0.7440, decode.d4.loss_mask: 0.7696, decode.d4.loss_dice: 1.1643, decode.d5.loss_cls: 0.7287, decode.d5.loss_mask: 0.7756, decode.d5.loss_dice: 1.1600, decode.d6.loss_cls: 0.7283, decode.d6.loss_mask: 0.7698, decode.d6.loss_dice: 1.1430, decode.d7.loss_cls: 0.7258, decode.d7.loss_mask: 0.7734, decode.d7.loss_dice: 1.1443, decode.d8.loss_cls: 0.7230, decode.d8.loss_mask: 0.7676, decode.d8.loss_dice: 1.1469, loss: 28.6993 2022-09-13 16:30:39,989 - mmseg - INFO - Iter [67950/80000] lr: 2.163e-07, eta: 6:28:16, time: 1.880, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7179, decode.loss_mask: 0.7305, decode.loss_dice: 1.1469, decode.d0.loss_cls: 2.4493, decode.d0.loss_mask: 0.7414, decode.d0.loss_dice: 1.3178, decode.d1.loss_cls: 0.8196, decode.d1.loss_mask: 0.7577, decode.d1.loss_dice: 1.2322, decode.d2.loss_cls: 0.7663, decode.d2.loss_mask: 0.7434, decode.d2.loss_dice: 1.1865, decode.d3.loss_cls: 0.7412, decode.d3.loss_mask: 0.7398, decode.d3.loss_dice: 1.1636, decode.d4.loss_cls: 0.7298, decode.d4.loss_mask: 0.7361, decode.d4.loss_dice: 1.1604, decode.d5.loss_cls: 0.7303, decode.d5.loss_mask: 0.7336, decode.d5.loss_dice: 1.1511, decode.d6.loss_cls: 0.7165, decode.d6.loss_mask: 0.7349, decode.d6.loss_dice: 1.1422, decode.d7.loss_cls: 0.7187, decode.d7.loss_mask: 0.7294, decode.d7.loss_dice: 1.1459, decode.d8.loss_cls: 0.7132, decode.d8.loss_mask: 0.7338, decode.d8.loss_dice: 1.1470, loss: 28.2769 2022-09-13 16:32:13,181 - mmseg - INFO - Saving checkpoint at 68000 iterations 2022-09-13 16:32:39,021 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 16:32:39,028 - mmseg - INFO - Iter [68000/80000] lr: 2.154e-07, eta: 6:26:44, time: 2.379, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7358, decode.loss_mask: 0.7357, decode.loss_dice: 1.1460, decode.d0.loss_cls: 2.4214, decode.d0.loss_mask: 0.7625, decode.d0.loss_dice: 1.3364, decode.d1.loss_cls: 0.8134, decode.d1.loss_mask: 0.7692, decode.d1.loss_dice: 1.2365, decode.d2.loss_cls: 0.7621, decode.d2.loss_mask: 0.7519, decode.d2.loss_dice: 1.1911, decode.d3.loss_cls: 0.7484, decode.d3.loss_mask: 0.7505, decode.d3.loss_dice: 1.1767, decode.d4.loss_cls: 0.7486, decode.d4.loss_mask: 0.7448, decode.d4.loss_dice: 1.1638, decode.d5.loss_cls: 0.7379, decode.d5.loss_mask: 0.7404, decode.d5.loss_dice: 1.1591, decode.d6.loss_cls: 0.7428, decode.d6.loss_mask: 0.7362, decode.d6.loss_dice: 1.1517, decode.d7.loss_cls: 0.7401, decode.d7.loss_mask: 0.7365, decode.d7.loss_dice: 1.1500, decode.d8.loss_cls: 0.7330, decode.d8.loss_mask: 0.7348, decode.d8.loss_dice: 1.1532, loss: 28.5103 2022-09-13 16:34:12,278 - mmseg - INFO - Iter [68050/80000] lr: 2.145e-07, eta: 6:25:06, time: 1.867, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7192, decode.loss_mask: 0.7298, decode.loss_dice: 1.1711, decode.d0.loss_cls: 2.4298, decode.d0.loss_mask: 0.7599, decode.d0.loss_dice: 1.3519, decode.d1.loss_cls: 0.8087, decode.d1.loss_mask: 0.7637, decode.d1.loss_dice: 1.2611, decode.d2.loss_cls: 0.7504, decode.d2.loss_mask: 0.7486, decode.d2.loss_dice: 1.2190, decode.d3.loss_cls: 0.7307, decode.d3.loss_mask: 0.7433, decode.d3.loss_dice: 1.1935, decode.d4.loss_cls: 0.7278, decode.d4.loss_mask: 0.7360, decode.d4.loss_dice: 1.1931, decode.d5.loss_cls: 0.7237, decode.d5.loss_mask: 0.7370, decode.d5.loss_dice: 1.1869, decode.d6.loss_cls: 0.7206, decode.d6.loss_mask: 0.7359, decode.d6.loss_dice: 1.1689, decode.d7.loss_cls: 0.7209, decode.d7.loss_mask: 0.7350, decode.d7.loss_dice: 1.1705, decode.d8.loss_cls: 0.7171, decode.d8.loss_mask: 0.7297, decode.d8.loss_dice: 1.1718, loss: 28.5556 2022-09-13 16:35:46,329 - mmseg - INFO - Iter [68100/80000] lr: 2.136e-07, eta: 6:23:29, time: 1.881, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7162, decode.loss_mask: 0.7330, decode.loss_dice: 1.1410, decode.d0.loss_cls: 2.3900, decode.d0.loss_mask: 0.7532, decode.d0.loss_dice: 1.3223, decode.d1.loss_cls: 0.8025, decode.d1.loss_mask: 0.7717, decode.d1.loss_dice: 1.2393, decode.d2.loss_cls: 0.7472, decode.d2.loss_mask: 0.7521, decode.d2.loss_dice: 1.1949, decode.d3.loss_cls: 0.7363, decode.d3.loss_mask: 0.7458, decode.d3.loss_dice: 1.1623, decode.d4.loss_cls: 0.7248, decode.d4.loss_mask: 0.7396, decode.d4.loss_dice: 1.1601, decode.d5.loss_cls: 0.7280, decode.d5.loss_mask: 0.7396, decode.d5.loss_dice: 1.1584, decode.d6.loss_cls: 0.7244, decode.d6.loss_mask: 0.7352, decode.d6.loss_dice: 1.1445, decode.d7.loss_cls: 0.7129, decode.d7.loss_mask: 0.7332, decode.d7.loss_dice: 1.1414, decode.d8.loss_cls: 0.7158, decode.d8.loss_mask: 0.7362, decode.d8.loss_dice: 1.1438, loss: 28.2460 2022-09-13 16:37:19,407 - mmseg - INFO - Iter [68150/80000] lr: 2.127e-07, eta: 6:21:52, time: 1.861, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7266, decode.loss_mask: 0.7320, decode.loss_dice: 1.1333, decode.d0.loss_cls: 2.4504, decode.d0.loss_mask: 0.7536, decode.d0.loss_dice: 1.3123, decode.d1.loss_cls: 0.8007, decode.d1.loss_mask: 0.7658, decode.d1.loss_dice: 1.2205, decode.d2.loss_cls: 0.7526, decode.d2.loss_mask: 0.7499, decode.d2.loss_dice: 1.1785, decode.d3.loss_cls: 0.7413, decode.d3.loss_mask: 0.7408, decode.d3.loss_dice: 1.1608, decode.d4.loss_cls: 0.7368, decode.d4.loss_mask: 0.7392, decode.d4.loss_dice: 1.1525, decode.d5.loss_cls: 0.7282, decode.d5.loss_mask: 0.7405, decode.d5.loss_dice: 1.1526, decode.d6.loss_cls: 0.7271, decode.d6.loss_mask: 0.7375, decode.d6.loss_dice: 1.1425, decode.d7.loss_cls: 0.7194, decode.d7.loss_mask: 0.7326, decode.d7.loss_dice: 1.1406, decode.d8.loss_cls: 0.7228, decode.d8.loss_mask: 0.7338, decode.d8.loss_dice: 1.1403, loss: 28.2654 2022-09-13 16:38:53,469 - mmseg - INFO - Iter [68200/80000] lr: 2.118e-07, eta: 6:20:15, time: 1.881, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7457, decode.loss_mask: 0.7205, decode.loss_dice: 1.1185, decode.d0.loss_cls: 2.4692, decode.d0.loss_mask: 0.7478, decode.d0.loss_dice: 1.3086, decode.d1.loss_cls: 0.8273, decode.d1.loss_mask: 0.7595, decode.d1.loss_dice: 1.2158, decode.d2.loss_cls: 0.7796, decode.d2.loss_mask: 0.7390, decode.d2.loss_dice: 1.1726, decode.d3.loss_cls: 0.7699, decode.d3.loss_mask: 0.7318, decode.d3.loss_dice: 1.1488, decode.d4.loss_cls: 0.7619, decode.d4.loss_mask: 0.7279, decode.d4.loss_dice: 1.1401, decode.d5.loss_cls: 0.7496, decode.d5.loss_mask: 0.7283, decode.d5.loss_dice: 1.1358, decode.d6.loss_cls: 0.7513, decode.d6.loss_mask: 0.7234, decode.d6.loss_dice: 1.1195, decode.d7.loss_cls: 0.7501, decode.d7.loss_mask: 0.7182, decode.d7.loss_dice: 1.1215, decode.d8.loss_cls: 0.7431, decode.d8.loss_mask: 0.7183, decode.d8.loss_dice: 1.1206, loss: 28.2640 2022-09-13 16:40:27,188 - mmseg - INFO - Iter [68250/80000] lr: 2.109e-07, eta: 6:18:38, time: 1.874, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7611, decode.loss_mask: 0.7413, decode.loss_dice: 1.1501, decode.d0.loss_cls: 2.4732, decode.d0.loss_mask: 0.7676, decode.d0.loss_dice: 1.3395, decode.d1.loss_cls: 0.8546, decode.d1.loss_mask: 0.7692, decode.d1.loss_dice: 1.2517, decode.d2.loss_cls: 0.8019, decode.d2.loss_mask: 0.7539, decode.d2.loss_dice: 1.1981, decode.d3.loss_cls: 0.7794, decode.d3.loss_mask: 0.7473, decode.d3.loss_dice: 1.1758, decode.d4.loss_cls: 0.7772, decode.d4.loss_mask: 0.7465, decode.d4.loss_dice: 1.1676, decode.d5.loss_cls: 0.7649, decode.d5.loss_mask: 0.7465, decode.d5.loss_dice: 1.1642, decode.d6.loss_cls: 0.7667, decode.d6.loss_mask: 0.7435, decode.d6.loss_dice: 1.1564, decode.d7.loss_cls: 0.7631, decode.d7.loss_mask: 0.7421, decode.d7.loss_dice: 1.1543, decode.d8.loss_cls: 0.7578, decode.d8.loss_mask: 0.7429, decode.d8.loss_dice: 1.1530, loss: 28.9115 2022-09-13 16:42:02,090 - mmseg - INFO - Iter [68300/80000] lr: 2.100e-07, eta: 6:17:01, time: 1.898, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7475, decode.loss_mask: 0.7399, decode.loss_dice: 1.1637, decode.d0.loss_cls: 2.4679, decode.d0.loss_mask: 0.7660, decode.d0.loss_dice: 1.3461, decode.d1.loss_cls: 0.8356, decode.d1.loss_mask: 0.7701, decode.d1.loss_dice: 1.2594, decode.d2.loss_cls: 0.7816, decode.d2.loss_mask: 0.7605, decode.d2.loss_dice: 1.2087, decode.d3.loss_cls: 0.7657, decode.d3.loss_mask: 0.7521, decode.d3.loss_dice: 1.1849, decode.d4.loss_cls: 0.7623, decode.d4.loss_mask: 0.7452, decode.d4.loss_dice: 1.1765, decode.d5.loss_cls: 0.7577, decode.d5.loss_mask: 0.7428, decode.d5.loss_dice: 1.1729, decode.d6.loss_cls: 0.7528, decode.d6.loss_mask: 0.7408, decode.d6.loss_dice: 1.1675, decode.d7.loss_cls: 0.7466, decode.d7.loss_mask: 0.7400, decode.d7.loss_dice: 1.1677, decode.d8.loss_cls: 0.7461, decode.d8.loss_mask: 0.7389, decode.d8.loss_dice: 1.1675, loss: 28.8747 2022-09-13 16:43:36,438 - mmseg - INFO - Iter [68350/80000] lr: 2.091e-07, eta: 6:15:24, time: 1.887, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7210, decode.loss_mask: 0.7403, decode.loss_dice: 1.1195, decode.d0.loss_cls: 2.4009, decode.d0.loss_mask: 0.7680, decode.d0.loss_dice: 1.3138, decode.d1.loss_cls: 0.8039, decode.d1.loss_mask: 0.7764, decode.d1.loss_dice: 1.2276, decode.d2.loss_cls: 0.7483, decode.d2.loss_mask: 0.7578, decode.d2.loss_dice: 1.1743, decode.d3.loss_cls: 0.7407, decode.d3.loss_mask: 0.7471, decode.d3.loss_dice: 1.1510, decode.d4.loss_cls: 0.7319, decode.d4.loss_mask: 0.7466, decode.d4.loss_dice: 1.1359, decode.d5.loss_cls: 0.7221, decode.d5.loss_mask: 0.7453, decode.d5.loss_dice: 1.1412, decode.d6.loss_cls: 0.7211, decode.d6.loss_mask: 0.7398, decode.d6.loss_dice: 1.1297, decode.d7.loss_cls: 0.7210, decode.d7.loss_mask: 0.7414, decode.d7.loss_dice: 1.1261, decode.d8.loss_cls: 0.7188, decode.d8.loss_mask: 0.7383, decode.d8.loss_dice: 1.1216, loss: 28.1713 2022-09-13 16:45:09,688 - mmseg - INFO - Iter [68400/80000] lr: 2.082e-07, eta: 6:13:46, time: 1.865, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7102, decode.loss_mask: 0.7245, decode.loss_dice: 1.1309, decode.d0.loss_cls: 2.4246, decode.d0.loss_mask: 0.7469, decode.d0.loss_dice: 1.3131, decode.d1.loss_cls: 0.7868, decode.d1.loss_mask: 0.7616, decode.d1.loss_dice: 1.2175, decode.d2.loss_cls: 0.7339, decode.d2.loss_mask: 0.7416, decode.d2.loss_dice: 1.1724, decode.d3.loss_cls: 0.7227, decode.d3.loss_mask: 0.7341, decode.d3.loss_dice: 1.1500, decode.d4.loss_cls: 0.7173, decode.d4.loss_mask: 0.7345, decode.d4.loss_dice: 1.1457, decode.d5.loss_cls: 0.7127, decode.d5.loss_mask: 0.7289, decode.d5.loss_dice: 1.1445, decode.d6.loss_cls: 0.7052, decode.d6.loss_mask: 0.7287, decode.d6.loss_dice: 1.1353, decode.d7.loss_cls: 0.7101, decode.d7.loss_mask: 0.7249, decode.d7.loss_dice: 1.1297, decode.d8.loss_cls: 0.7106, decode.d8.loss_mask: 0.7214, decode.d8.loss_dice: 1.1298, loss: 27.9502 2022-09-13 16:46:42,248 - mmseg - INFO - Iter [68450/80000] lr: 2.073e-07, eta: 6:12:09, time: 1.849, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7121, decode.loss_mask: 0.7316, decode.loss_dice: 1.1161, decode.d0.loss_cls: 2.3954, decode.d0.loss_mask: 0.7585, decode.d0.loss_dice: 1.3044, decode.d1.loss_cls: 0.7901, decode.d1.loss_mask: 0.7608, decode.d1.loss_dice: 1.2201, decode.d2.loss_cls: 0.7493, decode.d2.loss_mask: 0.7416, decode.d2.loss_dice: 1.1602, decode.d3.loss_cls: 0.7309, decode.d3.loss_mask: 0.7380, decode.d3.loss_dice: 1.1399, decode.d4.loss_cls: 0.7201, decode.d4.loss_mask: 0.7367, decode.d4.loss_dice: 1.1354, decode.d5.loss_cls: 0.7125, decode.d5.loss_mask: 0.7347, decode.d5.loss_dice: 1.1342, decode.d6.loss_cls: 0.7181, decode.d6.loss_mask: 0.7316, decode.d6.loss_dice: 1.1269, decode.d7.loss_cls: 0.7151, decode.d7.loss_mask: 0.7297, decode.d7.loss_dice: 1.1221, decode.d8.loss_cls: 0.7087, decode.d8.loss_mask: 0.7322, decode.d8.loss_dice: 1.1230, loss: 27.9303 2022-09-13 16:48:15,615 - mmseg - INFO - Iter [68500/80000] lr: 2.064e-07, eta: 6:10:32, time: 1.869, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7385, decode.loss_mask: 0.7510, decode.loss_dice: 1.1243, decode.d0.loss_cls: 2.4727, decode.d0.loss_mask: 0.7740, decode.d0.loss_dice: 1.3120, decode.d1.loss_cls: 0.8285, decode.d1.loss_mask: 0.7867, decode.d1.loss_dice: 1.2183, decode.d2.loss_cls: 0.7749, decode.d2.loss_mask: 0.7686, decode.d2.loss_dice: 1.1723, decode.d3.loss_cls: 0.7607, decode.d3.loss_mask: 0.7664, decode.d3.loss_dice: 1.1462, decode.d4.loss_cls: 0.7528, decode.d4.loss_mask: 0.7640, decode.d4.loss_dice: 1.1410, decode.d5.loss_cls: 0.7434, decode.d5.loss_mask: 0.7556, decode.d5.loss_dice: 1.1390, decode.d6.loss_cls: 0.7410, decode.d6.loss_mask: 0.7523, decode.d6.loss_dice: 1.1309, decode.d7.loss_cls: 0.7441, decode.d7.loss_mask: 0.7519, decode.d7.loss_dice: 1.1285, decode.d8.loss_cls: 0.7358, decode.d8.loss_mask: 0.7508, decode.d8.loss_dice: 1.1303, loss: 28.5567 2022-09-13 16:49:50,069 - mmseg - INFO - Iter [68550/80000] lr: 2.055e-07, eta: 6:08:55, time: 1.889, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7520, decode.loss_mask: 0.7526, decode.loss_dice: 1.1554, decode.d0.loss_cls: 2.4645, decode.d0.loss_mask: 0.7859, decode.d0.loss_dice: 1.3525, decode.d1.loss_cls: 0.8280, decode.d1.loss_mask: 0.7905, decode.d1.loss_dice: 1.2544, decode.d2.loss_cls: 0.7755, decode.d2.loss_mask: 0.7696, decode.d2.loss_dice: 1.2037, decode.d3.loss_cls: 0.7661, decode.d3.loss_mask: 0.7624, decode.d3.loss_dice: 1.1730, decode.d4.loss_cls: 0.7625, decode.d4.loss_mask: 0.7596, decode.d4.loss_dice: 1.1695, decode.d5.loss_cls: 0.7515, decode.d5.loss_mask: 0.7617, decode.d5.loss_dice: 1.1636, decode.d6.loss_cls: 0.7565, decode.d6.loss_mask: 0.7539, decode.d6.loss_dice: 1.1590, decode.d7.loss_cls: 0.7574, decode.d7.loss_mask: 0.7528, decode.d7.loss_dice: 1.1539, decode.d8.loss_cls: 0.7512, decode.d8.loss_mask: 0.7559, decode.d8.loss_dice: 1.1610, loss: 28.9562 2022-09-13 16:51:24,375 - mmseg - INFO - Iter [68600/80000] lr: 2.046e-07, eta: 6:07:18, time: 1.886, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7577, decode.loss_mask: 0.7383, decode.loss_dice: 1.1524, decode.d0.loss_cls: 2.4837, decode.d0.loss_mask: 0.7719, decode.d0.loss_dice: 1.3462, decode.d1.loss_cls: 0.8293, decode.d1.loss_mask: 0.7862, decode.d1.loss_dice: 1.2597, decode.d2.loss_cls: 0.7811, decode.d2.loss_mask: 0.7669, decode.d2.loss_dice: 1.2132, decode.d3.loss_cls: 0.7762, decode.d3.loss_mask: 0.7542, decode.d3.loss_dice: 1.1821, decode.d4.loss_cls: 0.7666, decode.d4.loss_mask: 0.7564, decode.d4.loss_dice: 1.1819, decode.d5.loss_cls: 0.7606, decode.d5.loss_mask: 0.7461, decode.d5.loss_dice: 1.1768, decode.d6.loss_cls: 0.7577, decode.d6.loss_mask: 0.7451, decode.d6.loss_dice: 1.1591, decode.d7.loss_cls: 0.7538, decode.d7.loss_mask: 0.7452, decode.d7.loss_dice: 1.1597, decode.d8.loss_cls: 0.7566, decode.d8.loss_mask: 0.7413, decode.d8.loss_dice: 1.1611, loss: 28.9669 2022-09-13 16:52:58,502 - mmseg - INFO - Iter [68650/80000] lr: 2.037e-07, eta: 6:05:41, time: 1.883, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7491, decode.loss_mask: 0.7534, decode.loss_dice: 1.1674, decode.d0.loss_cls: 2.4738, decode.d0.loss_mask: 0.7775, decode.d0.loss_dice: 1.3321, decode.d1.loss_cls: 0.8426, decode.d1.loss_mask: 0.7834, decode.d1.loss_dice: 1.2556, decode.d2.loss_cls: 0.7828, decode.d2.loss_mask: 0.7778, decode.d2.loss_dice: 1.2153, decode.d3.loss_cls: 0.7675, decode.d3.loss_mask: 0.7650, decode.d3.loss_dice: 1.1934, decode.d4.loss_cls: 0.7581, decode.d4.loss_mask: 0.7595, decode.d4.loss_dice: 1.1824, decode.d5.loss_cls: 0.7549, decode.d5.loss_mask: 0.7582, decode.d5.loss_dice: 1.1726, decode.d6.loss_cls: 0.7493, decode.d6.loss_mask: 0.7563, decode.d6.loss_dice: 1.1680, decode.d7.loss_cls: 0.7495, decode.d7.loss_mask: 0.7546, decode.d7.loss_dice: 1.1675, decode.d8.loss_cls: 0.7459, decode.d8.loss_mask: 0.7545, decode.d8.loss_dice: 1.1660, loss: 29.0341 2022-09-13 16:54:32,669 - mmseg - INFO - Iter [68700/80000] lr: 2.028e-07, eta: 6:04:04, time: 1.883, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7405, decode.loss_mask: 0.7314, decode.loss_dice: 1.1575, decode.d0.loss_cls: 2.4207, decode.d0.loss_mask: 0.7678, decode.d0.loss_dice: 1.3475, decode.d1.loss_cls: 0.8181, decode.d1.loss_mask: 0.7711, decode.d1.loss_dice: 1.2589, decode.d2.loss_cls: 0.7699, decode.d2.loss_mask: 0.7518, decode.d2.loss_dice: 1.2072, decode.d3.loss_cls: 0.7563, decode.d3.loss_mask: 0.7419, decode.d3.loss_dice: 1.1921, decode.d4.loss_cls: 0.7562, decode.d4.loss_mask: 0.7418, decode.d4.loss_dice: 1.1749, decode.d5.loss_cls: 0.7453, decode.d5.loss_mask: 0.7419, decode.d5.loss_dice: 1.1760, decode.d6.loss_cls: 0.7425, decode.d6.loss_mask: 0.7362, decode.d6.loss_dice: 1.1597, decode.d7.loss_cls: 0.7371, decode.d7.loss_mask: 0.7327, decode.d7.loss_dice: 1.1616, decode.d8.loss_cls: 0.7360, decode.d8.loss_mask: 0.7347, decode.d8.loss_dice: 1.1649, loss: 28.6742 2022-09-13 16:56:06,137 - mmseg - INFO - Iter [68750/80000] lr: 2.019e-07, eta: 6:02:26, time: 1.869, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7094, decode.loss_mask: 0.7654, decode.loss_dice: 1.1380, decode.d0.loss_cls: 2.3809, decode.d0.loss_mask: 0.7800, decode.d0.loss_dice: 1.3064, decode.d1.loss_cls: 0.7819, decode.d1.loss_mask: 0.7957, decode.d1.loss_dice: 1.2348, decode.d2.loss_cls: 0.7308, decode.d2.loss_mask: 0.7768, decode.d2.loss_dice: 1.1901, decode.d3.loss_cls: 0.7246, decode.d3.loss_mask: 0.7702, decode.d3.loss_dice: 1.1626, decode.d4.loss_cls: 0.7201, decode.d4.loss_mask: 0.7716, decode.d4.loss_dice: 1.1601, decode.d5.loss_cls: 0.7124, decode.d5.loss_mask: 0.7700, decode.d5.loss_dice: 1.1573, decode.d6.loss_cls: 0.7080, decode.d6.loss_mask: 0.7645, decode.d6.loss_dice: 1.1450, decode.d7.loss_cls: 0.7089, decode.d7.loss_mask: 0.7647, decode.d7.loss_dice: 1.1448, decode.d8.loss_cls: 0.7032, decode.d8.loss_mask: 0.7668, decode.d8.loss_dice: 1.1440, loss: 28.3888 2022-09-13 16:57:38,801 - mmseg - INFO - Iter [68800/80000] lr: 2.010e-07, eta: 6:00:49, time: 1.853, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7435, decode.loss_mask: 0.7455, decode.loss_dice: 1.1536, decode.d0.loss_cls: 2.4253, decode.d0.loss_mask: 0.7656, decode.d0.loss_dice: 1.3396, decode.d1.loss_cls: 0.8327, decode.d1.loss_mask: 0.7771, decode.d1.loss_dice: 1.2479, decode.d2.loss_cls: 0.7765, decode.d2.loss_mask: 0.7620, decode.d2.loss_dice: 1.1978, decode.d3.loss_cls: 0.7622, decode.d3.loss_mask: 0.7561, decode.d3.loss_dice: 1.1753, decode.d4.loss_cls: 0.7537, decode.d4.loss_mask: 0.7513, decode.d4.loss_dice: 1.1730, decode.d5.loss_cls: 0.7526, decode.d5.loss_mask: 0.7519, decode.d5.loss_dice: 1.1663, decode.d6.loss_cls: 0.7377, decode.d6.loss_mask: 0.7485, decode.d6.loss_dice: 1.1618, decode.d7.loss_cls: 0.7423, decode.d7.loss_mask: 0.7457, decode.d7.loss_dice: 1.1530, decode.d8.loss_cls: 0.7443, decode.d8.loss_mask: 0.7456, decode.d8.loss_dice: 1.1536, loss: 28.7420 2022-09-13 16:59:12,103 - mmseg - INFO - Iter [68850/80000] lr: 2.001e-07, eta: 5:59:12, time: 1.866, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7473, decode.loss_mask: 0.7509, decode.loss_dice: 1.1650, decode.d0.loss_cls: 2.4815, decode.d0.loss_mask: 0.7707, decode.d0.loss_dice: 1.3458, decode.d1.loss_cls: 0.8224, decode.d1.loss_mask: 0.7837, decode.d1.loss_dice: 1.2575, decode.d2.loss_cls: 0.7715, decode.d2.loss_mask: 0.7699, decode.d2.loss_dice: 1.2147, decode.d3.loss_cls: 0.7584, decode.d3.loss_mask: 0.7660, decode.d3.loss_dice: 1.1851, decode.d4.loss_cls: 0.7604, decode.d4.loss_mask: 0.7586, decode.d4.loss_dice: 1.1814, decode.d5.loss_cls: 0.7501, decode.d5.loss_mask: 0.7536, decode.d5.loss_dice: 1.1699, decode.d6.loss_cls: 0.7493, decode.d6.loss_mask: 0.7516, decode.d6.loss_dice: 1.1649, decode.d7.loss_cls: 0.7473, decode.d7.loss_mask: 0.7550, decode.d7.loss_dice: 1.1672, decode.d8.loss_cls: 0.7458, decode.d8.loss_mask: 0.7499, decode.d8.loss_dice: 1.1661, loss: 28.9617 2022-09-13 17:00:45,594 - mmseg - INFO - Iter [68900/80000] lr: 1.992e-07, eta: 5:57:35, time: 1.870, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7626, decode.loss_mask: 0.7417, decode.loss_dice: 1.1332, decode.d0.loss_cls: 2.4738, decode.d0.loss_mask: 0.7684, decode.d0.loss_dice: 1.3184, decode.d1.loss_cls: 0.8507, decode.d1.loss_mask: 0.7864, decode.d1.loss_dice: 1.2257, decode.d2.loss_cls: 0.8036, decode.d2.loss_mask: 0.7639, decode.d2.loss_dice: 1.1766, decode.d3.loss_cls: 0.7832, decode.d3.loss_mask: 0.7533, decode.d3.loss_dice: 1.1569, decode.d4.loss_cls: 0.7762, decode.d4.loss_mask: 0.7487, decode.d4.loss_dice: 1.1505, decode.d5.loss_cls: 0.7643, decode.d5.loss_mask: 0.7441, decode.d5.loss_dice: 1.1505, decode.d6.loss_cls: 0.7605, decode.d6.loss_mask: 0.7469, decode.d6.loss_dice: 1.1388, decode.d7.loss_cls: 0.7588, decode.d7.loss_mask: 0.7431, decode.d7.loss_dice: 1.1402, decode.d8.loss_cls: 0.7620, decode.d8.loss_mask: 0.7413, decode.d8.loss_dice: 1.1355, loss: 28.7599 2022-09-13 17:02:17,684 - mmseg - INFO - Iter [68950/80000] lr: 1.983e-07, eta: 5:55:57, time: 1.842, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7420, decode.loss_mask: 0.7126, decode.loss_dice: 1.1269, decode.d0.loss_cls: 2.5014, decode.d0.loss_mask: 0.7378, decode.d0.loss_dice: 1.3174, decode.d1.loss_cls: 0.8236, decode.d1.loss_mask: 0.7528, decode.d1.loss_dice: 1.2226, decode.d2.loss_cls: 0.7670, decode.d2.loss_mask: 0.7331, decode.d2.loss_dice: 1.1828, decode.d3.loss_cls: 0.7459, decode.d3.loss_mask: 0.7288, decode.d3.loss_dice: 1.1577, decode.d4.loss_cls: 0.7503, decode.d4.loss_mask: 0.7212, decode.d4.loss_dice: 1.1524, decode.d5.loss_cls: 0.7472, decode.d5.loss_mask: 0.7200, decode.d5.loss_dice: 1.1467, decode.d6.loss_cls: 0.7387, decode.d6.loss_mask: 0.7147, decode.d6.loss_dice: 1.1334, decode.d7.loss_cls: 0.7376, decode.d7.loss_mask: 0.7161, decode.d7.loss_dice: 1.1358, decode.d8.loss_cls: 0.7359, decode.d8.loss_mask: 0.7167, decode.d8.loss_dice: 1.1335, loss: 28.2525 2022-09-13 17:03:50,771 - mmseg - INFO - Saving checkpoint at 69000 iterations 2022-09-13 17:04:20,904 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 17:04:20,907 - mmseg - INFO - Iter [69000/80000] lr: 1.974e-07, eta: 5:54:25, time: 2.462, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7297, decode.loss_mask: 0.7423, decode.loss_dice: 1.1526, decode.d0.loss_cls: 2.4500, decode.d0.loss_mask: 0.7616, decode.d0.loss_dice: 1.3392, decode.d1.loss_cls: 0.8088, decode.d1.loss_mask: 0.7736, decode.d1.loss_dice: 1.2491, decode.d2.loss_cls: 0.7590, decode.d2.loss_mask: 0.7565, decode.d2.loss_dice: 1.1983, decode.d3.loss_cls: 0.7424, decode.d3.loss_mask: 0.7509, decode.d3.loss_dice: 1.1798, decode.d4.loss_cls: 0.7418, decode.d4.loss_mask: 0.7468, decode.d4.loss_dice: 1.1727, decode.d5.loss_cls: 0.7369, decode.d5.loss_mask: 0.7442, decode.d5.loss_dice: 1.1690, decode.d6.loss_cls: 0.7328, decode.d6.loss_mask: 0.7391, decode.d6.loss_dice: 1.1635, decode.d7.loss_cls: 0.7319, decode.d7.loss_mask: 0.7413, decode.d7.loss_dice: 1.1590, decode.d8.loss_cls: 0.7316, decode.d8.loss_mask: 0.7404, decode.d8.loss_dice: 1.1558, loss: 28.6008 2022-09-13 17:05:54,437 - mmseg - INFO - Iter [69050/80000] lr: 1.965e-07, eta: 5:52:48, time: 1.873, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7592, decode.loss_mask: 0.7419, decode.loss_dice: 1.1579, decode.d0.loss_cls: 2.5009, decode.d0.loss_mask: 0.7684, decode.d0.loss_dice: 1.3377, decode.d1.loss_cls: 0.8271, decode.d1.loss_mask: 0.7849, decode.d1.loss_dice: 1.2577, decode.d2.loss_cls: 0.7913, decode.d2.loss_mask: 0.7635, decode.d2.loss_dice: 1.2152, decode.d3.loss_cls: 0.7771, decode.d3.loss_mask: 0.7520, decode.d3.loss_dice: 1.1771, decode.d4.loss_cls: 0.7757, decode.d4.loss_mask: 0.7524, decode.d4.loss_dice: 1.1782, decode.d5.loss_cls: 0.7661, decode.d5.loss_mask: 0.7498, decode.d5.loss_dice: 1.1683, decode.d6.loss_cls: 0.7657, decode.d6.loss_mask: 0.7455, decode.d6.loss_dice: 1.1605, decode.d7.loss_cls: 0.7652, decode.d7.loss_mask: 0.7413, decode.d7.loss_dice: 1.1602, decode.d8.loss_cls: 0.7625, decode.d8.loss_mask: 0.7434, decode.d8.loss_dice: 1.1588, loss: 29.0054 2022-09-13 17:07:28,346 - mmseg - INFO - Iter [69100/80000] lr: 1.956e-07, eta: 5:51:11, time: 1.878, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7144, decode.loss_mask: 0.7618, decode.loss_dice: 1.1515, decode.d0.loss_cls: 2.3856, decode.d0.loss_mask: 0.7816, decode.d0.loss_dice: 1.3438, decode.d1.loss_cls: 0.7992, decode.d1.loss_mask: 0.7905, decode.d1.loss_dice: 1.2433, decode.d2.loss_cls: 0.7488, decode.d2.loss_mask: 0.7801, decode.d2.loss_dice: 1.2043, decode.d3.loss_cls: 0.7335, decode.d3.loss_mask: 0.7748, decode.d3.loss_dice: 1.1728, decode.d4.loss_cls: 0.7293, decode.d4.loss_mask: 0.7668, decode.d4.loss_dice: 1.1648, decode.d5.loss_cls: 0.7264, decode.d5.loss_mask: 0.7661, decode.d5.loss_dice: 1.1600, decode.d6.loss_cls: 0.7241, decode.d6.loss_mask: 0.7595, decode.d6.loss_dice: 1.1492, decode.d7.loss_cls: 0.7171, decode.d7.loss_mask: 0.7644, decode.d7.loss_dice: 1.1535, decode.d8.loss_cls: 0.7128, decode.d8.loss_mask: 0.7609, decode.d8.loss_dice: 1.1510, loss: 28.5918 2022-09-13 17:09:01,598 - mmseg - INFO - Iter [69150/80000] lr: 1.947e-07, eta: 5:49:34, time: 1.865, data_time: 0.015, memory: 42763, decode.loss_cls: 0.6945, decode.loss_mask: 0.7214, decode.loss_dice: 1.1133, decode.d0.loss_cls: 2.4269, decode.d0.loss_mask: 0.7513, decode.d0.loss_dice: 1.2916, decode.d1.loss_cls: 0.7901, decode.d1.loss_mask: 0.7633, decode.d1.loss_dice: 1.2084, decode.d2.loss_cls: 0.7327, decode.d2.loss_mask: 0.7425, decode.d2.loss_dice: 1.1675, decode.d3.loss_cls: 0.7189, decode.d3.loss_mask: 0.7361, decode.d3.loss_dice: 1.1421, decode.d4.loss_cls: 0.7126, decode.d4.loss_mask: 0.7292, decode.d4.loss_dice: 1.1325, decode.d5.loss_cls: 0.7049, decode.d5.loss_mask: 0.7286, decode.d5.loss_dice: 1.1267, decode.d6.loss_cls: 0.7011, decode.d6.loss_mask: 0.7223, decode.d6.loss_dice: 1.1203, decode.d7.loss_cls: 0.6959, decode.d7.loss_mask: 0.7241, decode.d7.loss_dice: 1.1175, decode.d8.loss_cls: 0.6962, decode.d8.loss_mask: 0.7218, decode.d8.loss_dice: 1.1213, loss: 27.7556 2022-09-13 17:10:35,316 - mmseg - INFO - Iter [69200/80000] lr: 1.939e-07, eta: 5:47:56, time: 1.874, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7262, decode.loss_mask: 0.7436, decode.loss_dice: 1.1057, decode.d0.loss_cls: 2.4824, decode.d0.loss_mask: 0.7683, decode.d0.loss_dice: 1.2883, decode.d1.loss_cls: 0.8035, decode.d1.loss_mask: 0.7788, decode.d1.loss_dice: 1.2064, decode.d2.loss_cls: 0.7622, decode.d2.loss_mask: 0.7599, decode.d2.loss_dice: 1.1535, decode.d3.loss_cls: 0.7469, decode.d3.loss_mask: 0.7518, decode.d3.loss_dice: 1.1305, decode.d4.loss_cls: 0.7395, decode.d4.loss_mask: 0.7490, decode.d4.loss_dice: 1.1279, decode.d5.loss_cls: 0.7263, decode.d5.loss_mask: 0.7527, decode.d5.loss_dice: 1.1281, decode.d6.loss_cls: 0.7291, decode.d6.loss_mask: 0.7449, decode.d6.loss_dice: 1.1134, decode.d7.loss_cls: 0.7213, decode.d7.loss_mask: 0.7480, decode.d7.loss_dice: 1.1110, decode.d8.loss_cls: 0.7260, decode.d8.loss_mask: 0.7486, decode.d8.loss_dice: 1.1073, loss: 28.1815 2022-09-13 17:12:08,157 - mmseg - INFO - Iter [69250/80000] lr: 1.930e-07, eta: 5:46:19, time: 1.857, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7376, decode.loss_mask: 0.7515, decode.loss_dice: 1.1382, decode.d0.loss_cls: 2.4477, decode.d0.loss_mask: 0.7804, decode.d0.loss_dice: 1.3271, decode.d1.loss_cls: 0.8052, decode.d1.loss_mask: 0.7933, decode.d1.loss_dice: 1.2382, decode.d2.loss_cls: 0.7702, decode.d2.loss_mask: 0.7657, decode.d2.loss_dice: 1.1834, decode.d3.loss_cls: 0.7573, decode.d3.loss_mask: 0.7587, decode.d3.loss_dice: 1.1612, decode.d4.loss_cls: 0.7526, decode.d4.loss_mask: 0.7560, decode.d4.loss_dice: 1.1592, decode.d5.loss_cls: 0.7434, decode.d5.loss_mask: 0.7585, decode.d5.loss_dice: 1.1559, decode.d6.loss_cls: 0.7433, decode.d6.loss_mask: 0.7544, decode.d6.loss_dice: 1.1421, decode.d7.loss_cls: 0.7424, decode.d7.loss_mask: 0.7500, decode.d7.loss_dice: 1.1352, decode.d8.loss_cls: 0.7402, decode.d8.loss_mask: 0.7487, decode.d8.loss_dice: 1.1405, loss: 28.6379 2022-09-13 17:13:41,277 - mmseg - INFO - Iter [69300/80000] lr: 1.921e-07, eta: 5:44:42, time: 1.862, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7289, decode.loss_mask: 0.7347, decode.loss_dice: 1.1619, decode.d0.loss_cls: 2.4608, decode.d0.loss_mask: 0.7539, decode.d0.loss_dice: 1.3415, decode.d1.loss_cls: 0.8108, decode.d1.loss_mask: 0.7661, decode.d1.loss_dice: 1.2501, decode.d2.loss_cls: 0.7548, decode.d2.loss_mask: 0.7515, decode.d2.loss_dice: 1.2116, decode.d3.loss_cls: 0.7410, decode.d3.loss_mask: 0.7420, decode.d3.loss_dice: 1.1933, decode.d4.loss_cls: 0.7352, decode.d4.loss_mask: 0.7444, decode.d4.loss_dice: 1.1869, decode.d5.loss_cls: 0.7261, decode.d5.loss_mask: 0.7412, decode.d5.loss_dice: 1.1819, decode.d6.loss_cls: 0.7294, decode.d6.loss_mask: 0.7359, decode.d6.loss_dice: 1.1720, decode.d7.loss_cls: 0.7273, decode.d7.loss_mask: 0.7384, decode.d7.loss_dice: 1.1725, decode.d8.loss_cls: 0.7288, decode.d8.loss_mask: 0.7356, decode.d8.loss_dice: 1.1704, loss: 28.6289 2022-09-13 17:15:14,476 - mmseg - INFO - Iter [69350/80000] lr: 1.912e-07, eta: 5:43:05, time: 1.864, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7401, decode.loss_mask: 0.7375, decode.loss_dice: 1.1607, decode.d0.loss_cls: 2.4443, decode.d0.loss_mask: 0.7659, decode.d0.loss_dice: 1.3456, decode.d1.loss_cls: 0.8397, decode.d1.loss_mask: 0.7731, decode.d1.loss_dice: 1.2510, decode.d2.loss_cls: 0.7755, decode.d2.loss_mask: 0.7609, decode.d2.loss_dice: 1.2025, decode.d3.loss_cls: 0.7591, decode.d3.loss_mask: 0.7562, decode.d3.loss_dice: 1.1778, decode.d4.loss_cls: 0.7509, decode.d4.loss_mask: 0.7507, decode.d4.loss_dice: 1.1720, decode.d5.loss_cls: 0.7429, decode.d5.loss_mask: 0.7466, decode.d5.loss_dice: 1.1727, decode.d6.loss_cls: 0.7461, decode.d6.loss_mask: 0.7424, decode.d6.loss_dice: 1.1586, decode.d7.loss_cls: 0.7424, decode.d7.loss_mask: 0.7406, decode.d7.loss_dice: 1.1538, decode.d8.loss_cls: 0.7418, decode.d8.loss_mask: 0.7408, decode.d8.loss_dice: 1.1603, loss: 28.7524 2022-09-13 17:16:48,732 - mmseg - INFO - Iter [69400/80000] lr: 1.903e-07, eta: 5:41:28, time: 1.885, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7326, decode.loss_mask: 0.7579, decode.loss_dice: 1.1572, decode.d0.loss_cls: 2.4152, decode.d0.loss_mask: 0.7809, decode.d0.loss_dice: 1.3262, decode.d1.loss_cls: 0.8086, decode.d1.loss_mask: 0.7881, decode.d1.loss_dice: 1.2446, decode.d2.loss_cls: 0.7646, decode.d2.loss_mask: 0.7789, decode.d2.loss_dice: 1.1950, decode.d3.loss_cls: 0.7537, decode.d3.loss_mask: 0.7646, decode.d3.loss_dice: 1.1708, decode.d4.loss_cls: 0.7464, decode.d4.loss_mask: 0.7649, decode.d4.loss_dice: 1.1745, decode.d5.loss_cls: 0.7356, decode.d5.loss_mask: 0.7672, decode.d5.loss_dice: 1.1713, decode.d6.loss_cls: 0.7370, decode.d6.loss_mask: 0.7605, decode.d6.loss_dice: 1.1622, decode.d7.loss_cls: 0.7371, decode.d7.loss_mask: 0.7550, decode.d7.loss_dice: 1.1545, decode.d8.loss_cls: 0.7298, decode.d8.loss_mask: 0.7590, decode.d8.loss_dice: 1.1595, loss: 28.7532 2022-09-13 17:18:21,964 - mmseg - INFO - Iter [69450/80000] lr: 1.894e-07, eta: 5:39:51, time: 1.865, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7120, decode.loss_mask: 0.7244, decode.loss_dice: 1.1337, decode.d0.loss_cls: 2.4396, decode.d0.loss_mask: 0.7453, decode.d0.loss_dice: 1.3107, decode.d1.loss_cls: 0.7894, decode.d1.loss_mask: 0.7593, decode.d1.loss_dice: 1.2354, decode.d2.loss_cls: 0.7406, decode.d2.loss_mask: 0.7427, decode.d2.loss_dice: 1.1874, decode.d3.loss_cls: 0.7292, decode.d3.loss_mask: 0.7351, decode.d3.loss_dice: 1.1571, decode.d4.loss_cls: 0.7277, decode.d4.loss_mask: 0.7300, decode.d4.loss_dice: 1.1551, decode.d5.loss_cls: 0.7270, decode.d5.loss_mask: 0.7270, decode.d5.loss_dice: 1.1503, decode.d6.loss_cls: 0.7168, decode.d6.loss_mask: 0.7213, decode.d6.loss_dice: 1.1342, decode.d7.loss_cls: 0.7130, decode.d7.loss_mask: 0.7245, decode.d7.loss_dice: 1.1411, decode.d8.loss_cls: 0.7134, decode.d8.loss_mask: 0.7226, decode.d8.loss_dice: 1.1404, loss: 28.0864 2022-09-13 17:19:56,034 - mmseg - INFO - Iter [69500/80000] lr: 1.885e-07, eta: 5:38:14, time: 1.881, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7373, decode.loss_mask: 0.7183, decode.loss_dice: 1.1278, decode.d0.loss_cls: 2.4412, decode.d0.loss_mask: 0.7454, decode.d0.loss_dice: 1.3109, decode.d1.loss_cls: 0.8168, decode.d1.loss_mask: 0.7477, decode.d1.loss_dice: 1.2298, decode.d2.loss_cls: 0.7630, decode.d2.loss_mask: 0.7414, decode.d2.loss_dice: 1.1771, decode.d3.loss_cls: 0.7574, decode.d3.loss_mask: 0.7265, decode.d3.loss_dice: 1.1496, decode.d4.loss_cls: 0.7504, decode.d4.loss_mask: 0.7232, decode.d4.loss_dice: 1.1456, decode.d5.loss_cls: 0.7424, decode.d5.loss_mask: 0.7243, decode.d5.loss_dice: 1.1398, decode.d6.loss_cls: 0.7421, decode.d6.loss_mask: 0.7231, decode.d6.loss_dice: 1.1324, decode.d7.loss_cls: 0.7374, decode.d7.loss_mask: 0.7220, decode.d7.loss_dice: 1.1270, decode.d8.loss_cls: 0.7366, decode.d8.loss_mask: 0.7195, decode.d8.loss_dice: 1.1354, loss: 28.1916 2022-09-13 17:21:30,920 - mmseg - INFO - Iter [69550/80000] lr: 1.876e-07, eta: 5:36:37, time: 1.898, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7103, decode.loss_mask: 0.7360, decode.loss_dice: 1.1235, decode.d0.loss_cls: 2.3793, decode.d0.loss_mask: 0.7685, decode.d0.loss_dice: 1.2871, decode.d1.loss_cls: 0.7911, decode.d1.loss_mask: 0.7700, decode.d1.loss_dice: 1.2097, decode.d2.loss_cls: 0.7260, decode.d2.loss_mask: 0.7570, decode.d2.loss_dice: 1.1604, decode.d3.loss_cls: 0.7255, decode.d3.loss_mask: 0.7401, decode.d3.loss_dice: 1.1380, decode.d4.loss_cls: 0.7160, decode.d4.loss_mask: 0.7384, decode.d4.loss_dice: 1.1391, decode.d5.loss_cls: 0.7149, decode.d5.loss_mask: 0.7383, decode.d5.loss_dice: 1.1321, decode.d6.loss_cls: 0.7108, decode.d6.loss_mask: 0.7361, decode.d6.loss_dice: 1.1244, decode.d7.loss_cls: 0.7113, decode.d7.loss_mask: 0.7334, decode.d7.loss_dice: 1.1131, decode.d8.loss_cls: 0.7102, decode.d8.loss_mask: 0.7319, decode.d8.loss_dice: 1.1170, loss: 27.8898 2022-09-13 17:23:03,710 - mmseg - INFO - Iter [69600/80000] lr: 1.867e-07, eta: 5:34:59, time: 1.854, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7273, decode.loss_mask: 0.7138, decode.loss_dice: 1.1289, decode.d0.loss_cls: 2.4635, decode.d0.loss_mask: 0.7430, decode.d0.loss_dice: 1.3077, decode.d1.loss_cls: 0.7982, decode.d1.loss_mask: 0.7490, decode.d1.loss_dice: 1.2232, decode.d2.loss_cls: 0.7488, decode.d2.loss_mask: 0.7319, decode.d2.loss_dice: 1.1740, decode.d3.loss_cls: 0.7441, decode.d3.loss_mask: 0.7244, decode.d3.loss_dice: 1.1532, decode.d4.loss_cls: 0.7404, decode.d4.loss_mask: 0.7186, decode.d4.loss_dice: 1.1483, decode.d5.loss_cls: 0.7313, decode.d5.loss_mask: 0.7192, decode.d5.loss_dice: 1.1447, decode.d6.loss_cls: 0.7300, decode.d6.loss_mask: 0.7136, decode.d6.loss_dice: 1.1318, decode.d7.loss_cls: 0.7257, decode.d7.loss_mask: 0.7120, decode.d7.loss_dice: 1.1334, decode.d8.loss_cls: 0.7247, decode.d8.loss_mask: 0.7124, decode.d8.loss_dice: 1.1277, loss: 28.0450 2022-09-13 17:24:37,926 - mmseg - INFO - Iter [69650/80000] lr: 1.858e-07, eta: 5:33:23, time: 1.886, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7335, decode.loss_mask: 0.7231, decode.loss_dice: 1.1436, decode.d0.loss_cls: 2.4555, decode.d0.loss_mask: 0.7566, decode.d0.loss_dice: 1.3102, decode.d1.loss_cls: 0.8095, decode.d1.loss_mask: 0.7615, decode.d1.loss_dice: 1.2402, decode.d2.loss_cls: 0.7538, decode.d2.loss_mask: 0.7470, decode.d2.loss_dice: 1.1847, decode.d3.loss_cls: 0.7432, decode.d3.loss_mask: 0.7363, decode.d3.loss_dice: 1.1722, decode.d4.loss_cls: 0.7387, decode.d4.loss_mask: 0.7349, decode.d4.loss_dice: 1.1595, decode.d5.loss_cls: 0.7297, decode.d5.loss_mask: 0.7317, decode.d5.loss_dice: 1.1572, decode.d6.loss_cls: 0.7328, decode.d6.loss_mask: 0.7261, decode.d6.loss_dice: 1.1487, decode.d7.loss_cls: 0.7264, decode.d7.loss_mask: 0.7250, decode.d7.loss_dice: 1.1501, decode.d8.loss_cls: 0.7242, decode.d8.loss_mask: 0.7266, decode.d8.loss_dice: 1.1499, loss: 28.3323 2022-09-13 17:26:11,330 - mmseg - INFO - Iter [69700/80000] lr: 1.849e-07, eta: 5:31:45, time: 1.868, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7425, decode.loss_mask: 0.7464, decode.loss_dice: 1.1328, decode.d0.loss_cls: 2.4398, decode.d0.loss_mask: 0.7886, decode.d0.loss_dice: 1.3296, decode.d1.loss_cls: 0.8204, decode.d1.loss_mask: 0.7862, decode.d1.loss_dice: 1.2381, decode.d2.loss_cls: 0.7812, decode.d2.loss_mask: 0.7674, decode.d2.loss_dice: 1.1807, decode.d3.loss_cls: 0.7673, decode.d3.loss_mask: 0.7557, decode.d3.loss_dice: 1.1558, decode.d4.loss_cls: 0.7596, decode.d4.loss_mask: 0.7534, decode.d4.loss_dice: 1.1530, decode.d5.loss_cls: 0.7416, decode.d5.loss_mask: 0.7544, decode.d5.loss_dice: 1.1495, decode.d6.loss_cls: 0.7437, decode.d6.loss_mask: 0.7521, decode.d6.loss_dice: 1.1407, decode.d7.loss_cls: 0.7387, decode.d7.loss_mask: 0.7505, decode.d7.loss_dice: 1.1357, decode.d8.loss_cls: 0.7431, decode.d8.loss_mask: 0.7477, decode.d8.loss_dice: 1.1402, loss: 28.6364 2022-09-13 17:27:44,031 - mmseg - INFO - Iter [69750/80000] lr: 1.840e-07, eta: 5:30:08, time: 1.854, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7244, decode.loss_mask: 0.7067, decode.loss_dice: 1.1206, decode.d0.loss_cls: 2.4705, decode.d0.loss_mask: 0.7325, decode.d0.loss_dice: 1.3109, decode.d1.loss_cls: 0.8218, decode.d1.loss_mask: 0.7447, decode.d1.loss_dice: 1.2133, decode.d2.loss_cls: 0.7670, decode.d2.loss_mask: 0.7261, decode.d2.loss_dice: 1.1732, decode.d3.loss_cls: 0.7515, decode.d3.loss_mask: 0.7198, decode.d3.loss_dice: 1.1498, decode.d4.loss_cls: 0.7434, decode.d4.loss_mask: 0.7103, decode.d4.loss_dice: 1.1378, decode.d5.loss_cls: 0.7333, decode.d5.loss_mask: 0.7051, decode.d5.loss_dice: 1.1371, decode.d6.loss_cls: 0.7277, decode.d6.loss_mask: 0.7058, decode.d6.loss_dice: 1.1227, decode.d7.loss_cls: 0.7184, decode.d7.loss_mask: 0.7093, decode.d7.loss_dice: 1.1261, decode.d8.loss_cls: 0.7230, decode.d8.loss_mask: 0.7064, decode.d8.loss_dice: 1.1255, loss: 27.9646 2022-09-13 17:29:17,492 - mmseg - INFO - Iter [69800/80000] lr: 1.831e-07, eta: 5:28:31, time: 1.869, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7456, decode.loss_mask: 0.7214, decode.loss_dice: 1.1590, decode.d0.loss_cls: 2.4465, decode.d0.loss_mask: 0.7522, decode.d0.loss_dice: 1.3528, decode.d1.loss_cls: 0.8227, decode.d1.loss_mask: 0.7589, decode.d1.loss_dice: 1.2596, decode.d2.loss_cls: 0.7713, decode.d2.loss_mask: 0.7394, decode.d2.loss_dice: 1.2063, decode.d3.loss_cls: 0.7591, decode.d3.loss_mask: 0.7376, decode.d3.loss_dice: 1.1889, decode.d4.loss_cls: 0.7533, decode.d4.loss_mask: 0.7298, decode.d4.loss_dice: 1.1783, decode.d5.loss_cls: 0.7475, decode.d5.loss_mask: 0.7308, decode.d5.loss_dice: 1.1797, decode.d6.loss_cls: 0.7462, decode.d6.loss_mask: 0.7235, decode.d6.loss_dice: 1.1658, decode.d7.loss_cls: 0.7420, decode.d7.loss_mask: 0.7253, decode.d7.loss_dice: 1.1637, decode.d8.loss_cls: 0.7422, decode.d8.loss_mask: 0.7233, decode.d8.loss_dice: 1.1621, loss: 28.6346 2022-09-13 17:30:51,519 - mmseg - INFO - Iter [69850/80000] lr: 1.822e-07, eta: 5:26:54, time: 1.881, data_time: 0.012, memory: 42763, decode.loss_cls: 0.6949, decode.loss_mask: 0.7466, decode.loss_dice: 1.1093, decode.d0.loss_cls: 2.3910, decode.d0.loss_mask: 0.7678, decode.d0.loss_dice: 1.2843, decode.d1.loss_cls: 0.7806, decode.d1.loss_mask: 0.7806, decode.d1.loss_dice: 1.2051, decode.d2.loss_cls: 0.7302, decode.d2.loss_mask: 0.7688, decode.d2.loss_dice: 1.1554, decode.d3.loss_cls: 0.7223, decode.d3.loss_mask: 0.7557, decode.d3.loss_dice: 1.1337, decode.d4.loss_cls: 0.7071, decode.d4.loss_mask: 0.7556, decode.d4.loss_dice: 1.1290, decode.d5.loss_cls: 0.6987, decode.d5.loss_mask: 0.7508, decode.d5.loss_dice: 1.1250, decode.d6.loss_cls: 0.6971, decode.d6.loss_mask: 0.7504, decode.d6.loss_dice: 1.1112, decode.d7.loss_cls: 0.6956, decode.d7.loss_mask: 0.7476, decode.d7.loss_dice: 1.1136, decode.d8.loss_cls: 0.6919, decode.d8.loss_mask: 0.7486, decode.d8.loss_dice: 1.1124, loss: 27.8609 2022-09-13 17:32:24,151 - mmseg - INFO - Iter [69900/80000] lr: 1.813e-07, eta: 5:25:17, time: 1.853, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7704, decode.loss_mask: 0.7299, decode.loss_dice: 1.1563, decode.d0.loss_cls: 2.5185, decode.d0.loss_mask: 0.7518, decode.d0.loss_dice: 1.3404, decode.d1.loss_cls: 0.8625, decode.d1.loss_mask: 0.7601, decode.d1.loss_dice: 1.2544, decode.d2.loss_cls: 0.8128, decode.d2.loss_mask: 0.7467, decode.d2.loss_dice: 1.2125, decode.d3.loss_cls: 0.7920, decode.d3.loss_mask: 0.7358, decode.d3.loss_dice: 1.1857, decode.d4.loss_cls: 0.7779, decode.d4.loss_mask: 0.7363, decode.d4.loss_dice: 1.1823, decode.d5.loss_cls: 0.7745, decode.d5.loss_mask: 0.7337, decode.d5.loss_dice: 1.1754, decode.d6.loss_cls: 0.7730, decode.d6.loss_mask: 0.7333, decode.d6.loss_dice: 1.1674, decode.d7.loss_cls: 0.7705, decode.d7.loss_mask: 0.7308, decode.d7.loss_dice: 1.1685, decode.d8.loss_cls: 0.7646, decode.d8.loss_mask: 0.7313, decode.d8.loss_dice: 1.1693, loss: 29.0187 2022-09-13 17:33:57,462 - mmseg - INFO - Iter [69950/80000] lr: 1.804e-07, eta: 5:23:40, time: 1.866, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7192, decode.loss_mask: 0.7448, decode.loss_dice: 1.1625, decode.d0.loss_cls: 2.4027, decode.d0.loss_mask: 0.7580, decode.d0.loss_dice: 1.3286, decode.d1.loss_cls: 0.8006, decode.d1.loss_mask: 0.7775, decode.d1.loss_dice: 1.2531, decode.d2.loss_cls: 0.7534, decode.d2.loss_mask: 0.7608, decode.d2.loss_dice: 1.2026, decode.d3.loss_cls: 0.7324, decode.d3.loss_mask: 0.7553, decode.d3.loss_dice: 1.1832, decode.d4.loss_cls: 0.7243, decode.d4.loss_mask: 0.7538, decode.d4.loss_dice: 1.1838, decode.d5.loss_cls: 0.7211, decode.d5.loss_mask: 0.7526, decode.d5.loss_dice: 1.1720, decode.d6.loss_cls: 0.7277, decode.d6.loss_mask: 0.7525, decode.d6.loss_dice: 1.1714, decode.d7.loss_cls: 0.7173, decode.d7.loss_mask: 0.7490, decode.d7.loss_dice: 1.1701, decode.d8.loss_cls: 0.7145, decode.d8.loss_mask: 0.7462, decode.d8.loss_dice: 1.1613, loss: 28.5526 2022-09-13 17:35:30,922 - mmseg - INFO - Saving checkpoint at 70000 iterations 2022-09-13 17:36:07,193 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 17:36:07,197 - mmseg - INFO - Iter [70000/80000] lr: 1.795e-07, eta: 5:22:08, time: 2.593, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7253, decode.loss_mask: 0.7218, decode.loss_dice: 1.1437, decode.d0.loss_cls: 2.4022, decode.d0.loss_mask: 0.7425, decode.d0.loss_dice: 1.3214, decode.d1.loss_cls: 0.8009, decode.d1.loss_mask: 0.7544, decode.d1.loss_dice: 1.2441, decode.d2.loss_cls: 0.7533, decode.d2.loss_mask: 0.7406, decode.d2.loss_dice: 1.1872, decode.d3.loss_cls: 0.7412, decode.d3.loss_mask: 0.7316, decode.d3.loss_dice: 1.1604, decode.d4.loss_cls: 0.7292, decode.d4.loss_mask: 0.7306, decode.d4.loss_dice: 1.1590, decode.d5.loss_cls: 0.7252, decode.d5.loss_mask: 0.7304, decode.d5.loss_dice: 1.1498, decode.d6.loss_cls: 0.7278, decode.d6.loss_mask: 0.7245, decode.d6.loss_dice: 1.1450, decode.d7.loss_cls: 0.7235, decode.d7.loss_mask: 0.7261, decode.d7.loss_dice: 1.1435, decode.d8.loss_cls: 0.7276, decode.d8.loss_mask: 0.7235, decode.d8.loss_dice: 1.1425, loss: 28.1788 2022-09-13 17:37:41,104 - mmseg - INFO - Iter [70050/80000] lr: 1.786e-07, eta: 5:20:31, time: 1.880, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7142, decode.loss_mask: 0.7279, decode.loss_dice: 1.1127, decode.d0.loss_cls: 2.3945, decode.d0.loss_mask: 0.7590, decode.d0.loss_dice: 1.2888, decode.d1.loss_cls: 0.7993, decode.d1.loss_mask: 0.7627, decode.d1.loss_dice: 1.2006, decode.d2.loss_cls: 0.7510, decode.d2.loss_mask: 0.7457, decode.d2.loss_dice: 1.1598, decode.d3.loss_cls: 0.7369, decode.d3.loss_mask: 0.7368, decode.d3.loss_dice: 1.1338, decode.d4.loss_cls: 0.7327, decode.d4.loss_mask: 0.7342, decode.d4.loss_dice: 1.1289, decode.d5.loss_cls: 0.7256, decode.d5.loss_mask: 0.7370, decode.d5.loss_dice: 1.1271, decode.d6.loss_cls: 0.7185, decode.d6.loss_mask: 0.7277, decode.d6.loss_dice: 1.1127, decode.d7.loss_cls: 0.7163, decode.d7.loss_mask: 0.7254, decode.d7.loss_dice: 1.1157, decode.d8.loss_cls: 0.7184, decode.d8.loss_mask: 0.7255, decode.d8.loss_dice: 1.1127, loss: 27.8821 2022-09-13 17:39:14,597 - mmseg - INFO - Iter [70100/80000] lr: 1.777e-07, eta: 5:18:54, time: 1.870, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7146, decode.loss_mask: 0.7236, decode.loss_dice: 1.1312, decode.d0.loss_cls: 2.4377, decode.d0.loss_mask: 0.7463, decode.d0.loss_dice: 1.3085, decode.d1.loss_cls: 0.7990, decode.d1.loss_mask: 0.7544, decode.d1.loss_dice: 1.2145, decode.d2.loss_cls: 0.7447, decode.d2.loss_mask: 0.7378, decode.d2.loss_dice: 1.1767, decode.d3.loss_cls: 0.7315, decode.d3.loss_mask: 0.7318, decode.d3.loss_dice: 1.1533, decode.d4.loss_cls: 0.7242, decode.d4.loss_mask: 0.7323, decode.d4.loss_dice: 1.1504, decode.d5.loss_cls: 0.7243, decode.d5.loss_mask: 0.7258, decode.d5.loss_dice: 1.1428, decode.d6.loss_cls: 0.7251, decode.d6.loss_mask: 0.7224, decode.d6.loss_dice: 1.1318, decode.d7.loss_cls: 0.7152, decode.d7.loss_mask: 0.7243, decode.d7.loss_dice: 1.1380, decode.d8.loss_cls: 0.7111, decode.d8.loss_mask: 0.7247, decode.d8.loss_dice: 1.1332, loss: 28.0311 2022-09-13 17:40:48,536 - mmseg - INFO - Iter [70150/80000] lr: 1.768e-07, eta: 5:17:17, time: 1.879, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7475, decode.loss_mask: 0.7276, decode.loss_dice: 1.1604, decode.d0.loss_cls: 2.5000, decode.d0.loss_mask: 0.7568, decode.d0.loss_dice: 1.3497, decode.d1.loss_cls: 0.8306, decode.d1.loss_mask: 0.7692, decode.d1.loss_dice: 1.2664, decode.d2.loss_cls: 0.7798, decode.d2.loss_mask: 0.7537, decode.d2.loss_dice: 1.2055, decode.d3.loss_cls: 0.7628, decode.d3.loss_mask: 0.7421, decode.d3.loss_dice: 1.1876, decode.d4.loss_cls: 0.7583, decode.d4.loss_mask: 0.7388, decode.d4.loss_dice: 1.1806, decode.d5.loss_cls: 0.7525, decode.d5.loss_mask: 0.7350, decode.d5.loss_dice: 1.1752, decode.d6.loss_cls: 0.7497, decode.d6.loss_mask: 0.7353, decode.d6.loss_dice: 1.1705, decode.d7.loss_cls: 0.7441, decode.d7.loss_mask: 0.7354, decode.d7.loss_dice: 1.1684, decode.d8.loss_cls: 0.7444, decode.d8.loss_mask: 0.7320, decode.d8.loss_dice: 1.1674, loss: 28.8272 2022-09-13 17:42:23,133 - mmseg - INFO - Iter [70200/80000] lr: 1.759e-07, eta: 5:15:40, time: 1.890, data_time: 0.018, memory: 42763, decode.loss_cls: 0.7028, decode.loss_mask: 0.7292, decode.loss_dice: 1.1423, decode.d0.loss_cls: 2.4266, decode.d0.loss_mask: 0.7618, decode.d0.loss_dice: 1.3281, decode.d1.loss_cls: 0.7896, decode.d1.loss_mask: 0.7591, decode.d1.loss_dice: 1.2406, decode.d2.loss_cls: 0.7318, decode.d2.loss_mask: 0.7487, decode.d2.loss_dice: 1.1912, decode.d3.loss_cls: 0.7266, decode.d3.loss_mask: 0.7361, decode.d3.loss_dice: 1.1672, decode.d4.loss_cls: 0.7215, decode.d4.loss_mask: 0.7343, decode.d4.loss_dice: 1.1592, decode.d5.loss_cls: 0.7212, decode.d5.loss_mask: 0.7296, decode.d5.loss_dice: 1.1496, decode.d6.loss_cls: 0.7118, decode.d6.loss_mask: 0.7308, decode.d6.loss_dice: 1.1537, decode.d7.loss_cls: 0.7061, decode.d7.loss_mask: 0.7300, decode.d7.loss_dice: 1.1420, decode.d8.loss_cls: 0.7029, decode.d8.loss_mask: 0.7314, decode.d8.loss_dice: 1.1462, loss: 28.1519 2022-09-13 17:43:58,550 - mmseg - INFO - Iter [70250/80000] lr: 1.750e-07, eta: 5:14:03, time: 1.910, data_time: 0.017, memory: 42763, decode.loss_cls: 0.7469, decode.loss_mask: 0.7291, decode.loss_dice: 1.1309, decode.d0.loss_cls: 2.4961, decode.d0.loss_mask: 0.7554, decode.d0.loss_dice: 1.3195, decode.d1.loss_cls: 0.8380, decode.d1.loss_mask: 0.7605, decode.d1.loss_dice: 1.2335, decode.d2.loss_cls: 0.7830, decode.d2.loss_mask: 0.7393, decode.d2.loss_dice: 1.1811, decode.d3.loss_cls: 0.7664, decode.d3.loss_mask: 0.7338, decode.d3.loss_dice: 1.1610, decode.d4.loss_cls: 0.7533, decode.d4.loss_mask: 0.7323, decode.d4.loss_dice: 1.1563, decode.d5.loss_cls: 0.7486, decode.d5.loss_mask: 0.7342, decode.d5.loss_dice: 1.1517, decode.d6.loss_cls: 0.7438, decode.d6.loss_mask: 0.7312, decode.d6.loss_dice: 1.1408, decode.d7.loss_cls: 0.7484, decode.d7.loss_mask: 0.7275, decode.d7.loss_dice: 1.1335, decode.d8.loss_cls: 0.7426, decode.d8.loss_mask: 0.7304, decode.d8.loss_dice: 1.1357, loss: 28.4847 2022-09-13 17:45:33,538 - mmseg - INFO - Iter [70300/80000] lr: 1.741e-07, eta: 5:12:26, time: 1.900, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7185, decode.loss_mask: 0.7455, decode.loss_dice: 1.1314, decode.d0.loss_cls: 2.3922, decode.d0.loss_mask: 0.7747, decode.d0.loss_dice: 1.3113, decode.d1.loss_cls: 0.7900, decode.d1.loss_mask: 0.7834, decode.d1.loss_dice: 1.2387, decode.d2.loss_cls: 0.7468, decode.d2.loss_mask: 0.7688, decode.d2.loss_dice: 1.1750, decode.d3.loss_cls: 0.7307, decode.d3.loss_mask: 0.7550, decode.d3.loss_dice: 1.1526, decode.d4.loss_cls: 0.7242, decode.d4.loss_mask: 0.7575, decode.d4.loss_dice: 1.1550, decode.d5.loss_cls: 0.7262, decode.d5.loss_mask: 0.7518, decode.d5.loss_dice: 1.1444, decode.d6.loss_cls: 0.7195, decode.d6.loss_mask: 0.7474, decode.d6.loss_dice: 1.1385, decode.d7.loss_cls: 0.7194, decode.d7.loss_mask: 0.7438, decode.d7.loss_dice: 1.1317, decode.d8.loss_cls: 0.7202, decode.d8.loss_mask: 0.7476, decode.d8.loss_dice: 1.1353, loss: 28.2771 2022-09-13 17:47:07,243 - mmseg - INFO - Iter [70350/80000] lr: 1.732e-07, eta: 5:10:49, time: 1.873, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7477, decode.loss_mask: 0.7134, decode.loss_dice: 1.1481, decode.d0.loss_cls: 2.4944, decode.d0.loss_mask: 0.7415, decode.d0.loss_dice: 1.3381, decode.d1.loss_cls: 0.8252, decode.d1.loss_mask: 0.7463, decode.d1.loss_dice: 1.2512, decode.d2.loss_cls: 0.7730, decode.d2.loss_mask: 0.7365, decode.d2.loss_dice: 1.2006, decode.d3.loss_cls: 0.7600, decode.d3.loss_mask: 0.7235, decode.d3.loss_dice: 1.1667, decode.d4.loss_cls: 0.7529, decode.d4.loss_mask: 0.7223, decode.d4.loss_dice: 1.1670, decode.d5.loss_cls: 0.7406, decode.d5.loss_mask: 0.7216, decode.d5.loss_dice: 1.1665, decode.d6.loss_cls: 0.7439, decode.d6.loss_mask: 0.7195, decode.d6.loss_dice: 1.1564, decode.d7.loss_cls: 0.7462, decode.d7.loss_mask: 0.7175, decode.d7.loss_dice: 1.1520, decode.d8.loss_cls: 0.7416, decode.d8.loss_mask: 0.7168, decode.d8.loss_dice: 1.1483, loss: 28.4791 2022-09-13 17:48:40,481 - mmseg - INFO - Iter [70400/80000] lr: 1.723e-07, eta: 5:09:12, time: 1.866, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7626, decode.loss_mask: 0.7282, decode.loss_dice: 1.1553, decode.d0.loss_cls: 2.4920, decode.d0.loss_mask: 0.7547, decode.d0.loss_dice: 1.3611, decode.d1.loss_cls: 0.8467, decode.d1.loss_mask: 0.7664, decode.d1.loss_dice: 1.2745, decode.d2.loss_cls: 0.7966, decode.d2.loss_mask: 0.7488, decode.d2.loss_dice: 1.2147, decode.d3.loss_cls: 0.7802, decode.d3.loss_mask: 0.7379, decode.d3.loss_dice: 1.1872, decode.d4.loss_cls: 0.7708, decode.d4.loss_mask: 0.7372, decode.d4.loss_dice: 1.1861, decode.d5.loss_cls: 0.7613, decode.d5.loss_mask: 0.7341, decode.d5.loss_dice: 1.1774, decode.d6.loss_cls: 0.7582, decode.d6.loss_mask: 0.7321, decode.d6.loss_dice: 1.1620, decode.d7.loss_cls: 0.7554, decode.d7.loss_mask: 0.7288, decode.d7.loss_dice: 1.1629, decode.d8.loss_cls: 0.7587, decode.d8.loss_mask: 0.7294, decode.d8.loss_dice: 1.1614, loss: 28.9227 2022-09-13 17:50:15,382 - mmseg - INFO - Iter [70450/80000] lr: 1.714e-07, eta: 5:07:35, time: 1.898, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7243, decode.loss_mask: 0.7368, decode.loss_dice: 1.1534, decode.d0.loss_cls: 2.4424, decode.d0.loss_mask: 0.7608, decode.d0.loss_dice: 1.3341, decode.d1.loss_cls: 0.8274, decode.d1.loss_mask: 0.7611, decode.d1.loss_dice: 1.2407, decode.d2.loss_cls: 0.7643, decode.d2.loss_mask: 0.7508, decode.d2.loss_dice: 1.1977, decode.d3.loss_cls: 0.7442, decode.d3.loss_mask: 0.7410, decode.d3.loss_dice: 1.1683, decode.d4.loss_cls: 0.7443, decode.d4.loss_mask: 0.7381, decode.d4.loss_dice: 1.1652, decode.d5.loss_cls: 0.7386, decode.d5.loss_mask: 0.7398, decode.d5.loss_dice: 1.1634, decode.d6.loss_cls: 0.7317, decode.d6.loss_mask: 0.7331, decode.d6.loss_dice: 1.1529, decode.d7.loss_cls: 0.7258, decode.d7.loss_mask: 0.7329, decode.d7.loss_dice: 1.1534, decode.d8.loss_cls: 0.7201, decode.d8.loss_mask: 0.7395, decode.d8.loss_dice: 1.1567, loss: 28.4823 2022-09-13 17:51:49,384 - mmseg - INFO - Iter [70500/80000] lr: 1.705e-07, eta: 5:05:58, time: 1.880, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7203, decode.loss_mask: 0.7318, decode.loss_dice: 1.1338, decode.d0.loss_cls: 2.4387, decode.d0.loss_mask: 0.7475, decode.d0.loss_dice: 1.3047, decode.d1.loss_cls: 0.8049, decode.d1.loss_mask: 0.7673, decode.d1.loss_dice: 1.2279, decode.d2.loss_cls: 0.7563, decode.d2.loss_mask: 0.7494, decode.d2.loss_dice: 1.1768, decode.d3.loss_cls: 0.7420, decode.d3.loss_mask: 0.7418, decode.d3.loss_dice: 1.1503, decode.d4.loss_cls: 0.7371, decode.d4.loss_mask: 0.7378, decode.d4.loss_dice: 1.1459, decode.d5.loss_cls: 0.7327, decode.d5.loss_mask: 0.7342, decode.d5.loss_dice: 1.1389, decode.d6.loss_cls: 0.7264, decode.d6.loss_mask: 0.7370, decode.d6.loss_dice: 1.1310, decode.d7.loss_cls: 0.7230, decode.d7.loss_mask: 0.7313, decode.d7.loss_dice: 1.1296, decode.d8.loss_cls: 0.7242, decode.d8.loss_mask: 0.7289, decode.d8.loss_dice: 1.1280, loss: 28.1795 2022-09-13 17:53:22,855 - mmseg - INFO - Iter [70550/80000] lr: 1.696e-07, eta: 5:04:21, time: 1.869, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7534, decode.loss_mask: 0.7247, decode.loss_dice: 1.1599, decode.d0.loss_cls: 2.4984, decode.d0.loss_mask: 0.7463, decode.d0.loss_dice: 1.3497, decode.d1.loss_cls: 0.8317, decode.d1.loss_mask: 0.7593, decode.d1.loss_dice: 1.2628, decode.d2.loss_cls: 0.7784, decode.d2.loss_mask: 0.7486, decode.d2.loss_dice: 1.2150, decode.d3.loss_cls: 0.7674, decode.d3.loss_mask: 0.7365, decode.d3.loss_dice: 1.1896, decode.d4.loss_cls: 0.7643, decode.d4.loss_mask: 0.7325, decode.d4.loss_dice: 1.1813, decode.d5.loss_cls: 0.7549, decode.d5.loss_mask: 0.7314, decode.d5.loss_dice: 1.1822, decode.d6.loss_cls: 0.7628, decode.d6.loss_mask: 0.7237, decode.d6.loss_dice: 1.1634, decode.d7.loss_cls: 0.7541, decode.d7.loss_mask: 0.7275, decode.d7.loss_dice: 1.1674, decode.d8.loss_cls: 0.7536, decode.d8.loss_mask: 0.7258, decode.d8.loss_dice: 1.1663, loss: 28.8128 2022-09-13 17:54:56,631 - mmseg - INFO - Iter [70600/80000] lr: 1.687e-07, eta: 5:02:44, time: 1.876, data_time: 0.015, memory: 42763, decode.loss_cls: 0.6969, decode.loss_mask: 0.7447, decode.loss_dice: 1.1078, decode.d0.loss_cls: 2.3559, decode.d0.loss_mask: 0.7759, decode.d0.loss_dice: 1.2902, decode.d1.loss_cls: 0.7676, decode.d1.loss_mask: 0.7871, decode.d1.loss_dice: 1.2150, decode.d2.loss_cls: 0.7285, decode.d2.loss_mask: 0.7671, decode.d2.loss_dice: 1.1575, decode.d3.loss_cls: 0.7126, decode.d3.loss_mask: 0.7684, decode.d3.loss_dice: 1.1374, decode.d4.loss_cls: 0.7074, decode.d4.loss_mask: 0.7522, decode.d4.loss_dice: 1.1320, decode.d5.loss_cls: 0.7011, decode.d5.loss_mask: 0.7551, decode.d5.loss_dice: 1.1295, decode.d6.loss_cls: 0.7001, decode.d6.loss_mask: 0.7479, decode.d6.loss_dice: 1.1145, decode.d7.loss_cls: 0.6961, decode.d7.loss_mask: 0.7473, decode.d7.loss_dice: 1.1143, decode.d8.loss_cls: 0.6940, decode.d8.loss_mask: 0.7443, decode.d8.loss_dice: 1.1098, loss: 27.8584 2022-09-13 17:56:31,142 - mmseg - INFO - Iter [70650/80000] lr: 1.678e-07, eta: 5:01:07, time: 1.890, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7598, decode.loss_mask: 0.7307, decode.loss_dice: 1.1485, decode.d0.loss_cls: 2.4404, decode.d0.loss_mask: 0.7538, decode.d0.loss_dice: 1.3417, decode.d1.loss_cls: 0.8362, decode.d1.loss_mask: 0.7578, decode.d1.loss_dice: 1.2521, decode.d2.loss_cls: 0.7920, decode.d2.loss_mask: 0.7426, decode.d2.loss_dice: 1.2040, decode.d3.loss_cls: 0.7799, decode.d3.loss_mask: 0.7410, decode.d3.loss_dice: 1.1819, decode.d4.loss_cls: 0.7750, decode.d4.loss_mask: 0.7367, decode.d4.loss_dice: 1.1789, decode.d5.loss_cls: 0.7667, decode.d5.loss_mask: 0.7354, decode.d5.loss_dice: 1.1730, decode.d6.loss_cls: 0.7606, decode.d6.loss_mask: 0.7312, decode.d6.loss_dice: 1.1615, decode.d7.loss_cls: 0.7595, decode.d7.loss_mask: 0.7299, decode.d7.loss_dice: 1.1591, decode.d8.loss_cls: 0.7554, decode.d8.loss_mask: 0.7299, decode.d8.loss_dice: 1.1550, loss: 28.7700 2022-09-13 17:58:03,986 - mmseg - INFO - Iter [70700/80000] lr: 1.669e-07, eta: 4:59:30, time: 1.857, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7173, decode.loss_mask: 0.7400, decode.loss_dice: 1.1463, decode.d0.loss_cls: 2.4415, decode.d0.loss_mask: 0.7661, decode.d0.loss_dice: 1.3232, decode.d1.loss_cls: 0.8020, decode.d1.loss_mask: 0.7702, decode.d1.loss_dice: 1.2440, decode.d2.loss_cls: 0.7493, decode.d2.loss_mask: 0.7550, decode.d2.loss_dice: 1.1902, decode.d3.loss_cls: 0.7378, decode.d3.loss_mask: 0.7469, decode.d3.loss_dice: 1.1669, decode.d4.loss_cls: 0.7296, decode.d4.loss_mask: 0.7437, decode.d4.loss_dice: 1.1643, decode.d5.loss_cls: 0.7206, decode.d5.loss_mask: 0.7412, decode.d5.loss_dice: 1.1527, decode.d6.loss_cls: 0.7161, decode.d6.loss_mask: 0.7420, decode.d6.loss_dice: 1.1502, decode.d7.loss_cls: 0.7168, decode.d7.loss_mask: 0.7427, decode.d7.loss_dice: 1.1492, decode.d8.loss_cls: 0.7177, decode.d8.loss_mask: 0.7404, decode.d8.loss_dice: 1.1439, loss: 28.3680 2022-09-13 17:59:38,488 - mmseg - INFO - Iter [70750/80000] lr: 1.660e-07, eta: 4:57:53, time: 1.890, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7193, decode.loss_mask: 0.7284, decode.loss_dice: 1.1297, decode.d0.loss_cls: 2.4620, decode.d0.loss_mask: 0.7463, decode.d0.loss_dice: 1.3071, decode.d1.loss_cls: 0.8176, decode.d1.loss_mask: 0.7519, decode.d1.loss_dice: 1.2156, decode.d2.loss_cls: 0.7583, decode.d2.loss_mask: 0.7442, decode.d2.loss_dice: 1.1750, decode.d3.loss_cls: 0.7434, decode.d3.loss_mask: 0.7381, decode.d3.loss_dice: 1.1529, decode.d4.loss_cls: 0.7413, decode.d4.loss_mask: 0.7313, decode.d4.loss_dice: 1.1448, decode.d5.loss_cls: 0.7332, decode.d5.loss_mask: 0.7285, decode.d5.loss_dice: 1.1423, decode.d6.loss_cls: 0.7289, decode.d6.loss_mask: 0.7286, decode.d6.loss_dice: 1.1271, decode.d7.loss_cls: 0.7190, decode.d7.loss_mask: 0.7280, decode.d7.loss_dice: 1.1307, decode.d8.loss_cls: 0.7246, decode.d8.loss_mask: 0.7277, decode.d8.loss_dice: 1.1281, loss: 28.1540 2022-09-13 18:01:16,511 - mmseg - INFO - Iter [70800/80000] lr: 1.651e-07, eta: 4:56:17, time: 1.961, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7547, decode.loss_mask: 0.7316, decode.loss_dice: 1.1474, decode.d0.loss_cls: 2.4890, decode.d0.loss_mask: 0.7664, decode.d0.loss_dice: 1.3486, decode.d1.loss_cls: 0.8479, decode.d1.loss_mask: 0.7637, decode.d1.loss_dice: 1.2472, decode.d2.loss_cls: 0.7840, decode.d2.loss_mask: 0.7552, decode.d2.loss_dice: 1.1958, decode.d3.loss_cls: 0.7779, decode.d3.loss_mask: 0.7451, decode.d3.loss_dice: 1.1696, decode.d4.loss_cls: 0.7668, decode.d4.loss_mask: 0.7440, decode.d4.loss_dice: 1.1734, decode.d5.loss_cls: 0.7638, decode.d5.loss_mask: 0.7346, decode.d5.loss_dice: 1.1610, decode.d6.loss_cls: 0.7590, decode.d6.loss_mask: 0.7344, decode.d6.loss_dice: 1.1580, decode.d7.loss_cls: 0.7550, decode.d7.loss_mask: 0.7309, decode.d7.loss_dice: 1.1508, decode.d8.loss_cls: 0.7549, decode.d8.loss_mask: 0.7314, decode.d8.loss_dice: 1.1551, loss: 28.7974 2022-09-13 18:02:52,242 - mmseg - INFO - Iter [70850/80000] lr: 1.642e-07, eta: 4:54:40, time: 1.915, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7327, decode.loss_mask: 0.7193, decode.loss_dice: 1.1563, decode.d0.loss_cls: 2.4426, decode.d0.loss_mask: 0.7347, decode.d0.loss_dice: 1.3286, decode.d1.loss_cls: 0.8274, decode.d1.loss_mask: 0.7478, decode.d1.loss_dice: 1.2439, decode.d2.loss_cls: 0.7615, decode.d2.loss_mask: 0.7362, decode.d2.loss_dice: 1.1985, decode.d3.loss_cls: 0.7503, decode.d3.loss_mask: 0.7269, decode.d3.loss_dice: 1.1663, decode.d4.loss_cls: 0.7514, decode.d4.loss_mask: 0.7242, decode.d4.loss_dice: 1.1729, decode.d5.loss_cls: 0.7420, decode.d5.loss_mask: 0.7241, decode.d5.loss_dice: 1.1668, decode.d6.loss_cls: 0.7360, decode.d6.loss_mask: 0.7176, decode.d6.loss_dice: 1.1586, decode.d7.loss_cls: 0.7341, decode.d7.loss_mask: 0.7149, decode.d7.loss_dice: 1.1577, decode.d8.loss_cls: 0.7333, decode.d8.loss_mask: 0.7170, decode.d8.loss_dice: 1.1603, loss: 28.3837 2022-09-13 18:04:26,795 - mmseg - INFO - Iter [70900/80000] lr: 1.633e-07, eta: 4:53:03, time: 1.891, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7438, decode.loss_mask: 0.7407, decode.loss_dice: 1.1493, decode.d0.loss_cls: 2.4180, decode.d0.loss_mask: 0.7716, decode.d0.loss_dice: 1.3259, decode.d1.loss_cls: 0.8253, decode.d1.loss_mask: 0.7785, decode.d1.loss_dice: 1.2349, decode.d2.loss_cls: 0.7741, decode.d2.loss_mask: 0.7615, decode.d2.loss_dice: 1.1842, decode.d3.loss_cls: 0.7601, decode.d3.loss_mask: 0.7558, decode.d3.loss_dice: 1.1657, decode.d4.loss_cls: 0.7595, decode.d4.loss_mask: 0.7516, decode.d4.loss_dice: 1.1606, decode.d5.loss_cls: 0.7501, decode.d5.loss_mask: 0.7506, decode.d5.loss_dice: 1.1533, decode.d6.loss_cls: 0.7441, decode.d6.loss_mask: 0.7418, decode.d6.loss_dice: 1.1498, decode.d7.loss_cls: 0.7422, decode.d7.loss_mask: 0.7411, decode.d7.loss_dice: 1.1487, decode.d8.loss_cls: 0.7429, decode.d8.loss_mask: 0.7422, decode.d8.loss_dice: 1.1490, loss: 28.6168 2022-09-13 18:05:59,729 - mmseg - INFO - Iter [70950/80000] lr: 1.624e-07, eta: 4:51:26, time: 1.859, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7439, decode.loss_mask: 0.7339, decode.loss_dice: 1.1248, decode.d0.loss_cls: 2.4491, decode.d0.loss_mask: 0.7601, decode.d0.loss_dice: 1.3039, decode.d1.loss_cls: 0.8242, decode.d1.loss_mask: 0.7697, decode.d1.loss_dice: 1.2172, decode.d2.loss_cls: 0.7691, decode.d2.loss_mask: 0.7498, decode.d2.loss_dice: 1.1648, decode.d3.loss_cls: 0.7601, decode.d3.loss_mask: 0.7429, decode.d3.loss_dice: 1.1423, decode.d4.loss_cls: 0.7488, decode.d4.loss_mask: 0.7425, decode.d4.loss_dice: 1.1369, decode.d5.loss_cls: 0.7458, decode.d5.loss_mask: 0.7375, decode.d5.loss_dice: 1.1378, decode.d6.loss_cls: 0.7466, decode.d6.loss_mask: 0.7347, decode.d6.loss_dice: 1.1218, decode.d7.loss_cls: 0.7457, decode.d7.loss_mask: 0.7371, decode.d7.loss_dice: 1.1222, decode.d8.loss_cls: 0.7455, decode.d8.loss_mask: 0.7341, decode.d8.loss_dice: 1.1247, loss: 28.3174 2022-09-13 18:07:32,276 - mmseg - INFO - Saving checkpoint at 71000 iterations 2022-09-13 18:08:05,780 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 18:08:05,792 - mmseg - INFO - Iter [71000/80000] lr: 1.615e-07, eta: 4:49:53, time: 2.518, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7289, decode.loss_mask: 0.7297, decode.loss_dice: 1.1199, decode.d0.loss_cls: 2.4110, decode.d0.loss_mask: 0.7504, decode.d0.loss_dice: 1.2977, decode.d1.loss_cls: 0.8235, decode.d1.loss_mask: 0.7580, decode.d1.loss_dice: 1.2144, decode.d2.loss_cls: 0.7699, decode.d2.loss_mask: 0.7402, decode.d2.loss_dice: 1.1572, decode.d3.loss_cls: 0.7548, decode.d3.loss_mask: 0.7337, decode.d3.loss_dice: 1.1380, decode.d4.loss_cls: 0.7451, decode.d4.loss_mask: 0.7356, decode.d4.loss_dice: 1.1376, decode.d5.loss_cls: 0.7368, decode.d5.loss_mask: 0.7301, decode.d5.loss_dice: 1.1207, decode.d6.loss_cls: 0.7295, decode.d6.loss_mask: 0.7264, decode.d6.loss_dice: 1.1176, decode.d7.loss_cls: 0.7242, decode.d7.loss_mask: 0.7309, decode.d7.loss_dice: 1.1183, decode.d8.loss_cls: 0.7272, decode.d8.loss_mask: 0.7296, decode.d8.loss_dice: 1.1203, loss: 28.0571 2022-09-13 18:09:39,918 - mmseg - INFO - Iter [71050/80000] lr: 1.606e-07, eta: 4:48:16, time: 1.885, data_time: 0.017, memory: 42763, decode.loss_cls: 0.7450, decode.loss_mask: 0.7166, decode.loss_dice: 1.1476, decode.d0.loss_cls: 2.4629, decode.d0.loss_mask: 0.7484, decode.d0.loss_dice: 1.3435, decode.d1.loss_cls: 0.8319, decode.d1.loss_mask: 0.7572, decode.d1.loss_dice: 1.2454, decode.d2.loss_cls: 0.7803, decode.d2.loss_mask: 0.7348, decode.d2.loss_dice: 1.1953, decode.d3.loss_cls: 0.7684, decode.d3.loss_mask: 0.7292, decode.d3.loss_dice: 1.1679, decode.d4.loss_cls: 0.7529, decode.d4.loss_mask: 0.7309, decode.d4.loss_dice: 1.1674, decode.d5.loss_cls: 0.7476, decode.d5.loss_mask: 0.7252, decode.d5.loss_dice: 1.1578, decode.d6.loss_cls: 0.7468, decode.d6.loss_mask: 0.7196, decode.d6.loss_dice: 1.1486, decode.d7.loss_cls: 0.7471, decode.d7.loss_mask: 0.7162, decode.d7.loss_dice: 1.1449, decode.d8.loss_cls: 0.7472, decode.d8.loss_mask: 0.7200, decode.d8.loss_dice: 1.1401, loss: 28.4867 2022-09-13 18:11:14,604 - mmseg - INFO - Iter [71100/80000] lr: 1.598e-07, eta: 4:46:39, time: 1.894, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7439, decode.loss_mask: 0.7406, decode.loss_dice: 1.1490, decode.d0.loss_cls: 2.3992, decode.d0.loss_mask: 0.7674, decode.d0.loss_dice: 1.3383, decode.d1.loss_cls: 0.8195, decode.d1.loss_mask: 0.7762, decode.d1.loss_dice: 1.2488, decode.d2.loss_cls: 0.7766, decode.d2.loss_mask: 0.7590, decode.d2.loss_dice: 1.2021, decode.d3.loss_cls: 0.7541, decode.d3.loss_mask: 0.7519, decode.d3.loss_dice: 1.1827, decode.d4.loss_cls: 0.7537, decode.d4.loss_mask: 0.7481, decode.d4.loss_dice: 1.1661, decode.d5.loss_cls: 0.7504, decode.d5.loss_mask: 0.7429, decode.d5.loss_dice: 1.1575, decode.d6.loss_cls: 0.7453, decode.d6.loss_mask: 0.7453, decode.d6.loss_dice: 1.1546, decode.d7.loss_cls: 0.7462, decode.d7.loss_mask: 0.7410, decode.d7.loss_dice: 1.1521, decode.d8.loss_cls: 0.7414, decode.d8.loss_mask: 0.7427, decode.d8.loss_dice: 1.1515, loss: 28.6480 2022-09-13 18:12:49,140 - mmseg - INFO - Iter [71150/80000] lr: 1.589e-07, eta: 4:45:03, time: 1.891, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7097, decode.loss_mask: 0.7464, decode.loss_dice: 1.1399, decode.d0.loss_cls: 2.4216, decode.d0.loss_mask: 0.7627, decode.d0.loss_dice: 1.3172, decode.d1.loss_cls: 0.7839, decode.d1.loss_mask: 0.7820, decode.d1.loss_dice: 1.2330, decode.d2.loss_cls: 0.7361, decode.d2.loss_mask: 0.7690, decode.d2.loss_dice: 1.1964, decode.d3.loss_cls: 0.7323, decode.d3.loss_mask: 0.7592, decode.d3.loss_dice: 1.1586, decode.d4.loss_cls: 0.7261, decode.d4.loss_mask: 0.7568, decode.d4.loss_dice: 1.1554, decode.d5.loss_cls: 0.7180, decode.d5.loss_mask: 0.7535, decode.d5.loss_dice: 1.1523, decode.d6.loss_cls: 0.7136, decode.d6.loss_mask: 0.7495, decode.d6.loss_dice: 1.1398, decode.d7.loss_cls: 0.7166, decode.d7.loss_mask: 0.7486, decode.d7.loss_dice: 1.1369, decode.d8.loss_cls: 0.7138, decode.d8.loss_mask: 0.7457, decode.d8.loss_dice: 1.1430, loss: 28.3174 2022-09-13 18:14:22,473 - mmseg - INFO - Iter [71200/80000] lr: 1.580e-07, eta: 4:43:26, time: 1.867, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7411, decode.loss_mask: 0.7200, decode.loss_dice: 1.1419, decode.d0.loss_cls: 2.5001, decode.d0.loss_mask: 0.7508, decode.d0.loss_dice: 1.3232, decode.d1.loss_cls: 0.8261, decode.d1.loss_mask: 0.7617, decode.d1.loss_dice: 1.2441, decode.d2.loss_cls: 0.7793, decode.d2.loss_mask: 0.7460, decode.d2.loss_dice: 1.1889, decode.d3.loss_cls: 0.7574, decode.d3.loss_mask: 0.7340, decode.d3.loss_dice: 1.1682, decode.d4.loss_cls: 0.7486, decode.d4.loss_mask: 0.7293, decode.d4.loss_dice: 1.1616, decode.d5.loss_cls: 0.7436, decode.d5.loss_mask: 0.7282, decode.d5.loss_dice: 1.1612, decode.d6.loss_cls: 0.7409, decode.d6.loss_mask: 0.7244, decode.d6.loss_dice: 1.1437, decode.d7.loss_cls: 0.7328, decode.d7.loss_mask: 0.7242, decode.d7.loss_dice: 1.1430, decode.d8.loss_cls: 0.7375, decode.d8.loss_mask: 0.7206, decode.d8.loss_dice: 1.1443, loss: 28.4668 2022-09-13 18:15:56,364 - mmseg - INFO - Iter [71250/80000] lr: 1.571e-07, eta: 4:41:49, time: 1.878, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7061, decode.loss_mask: 0.7339, decode.loss_dice: 1.1016, decode.d0.loss_cls: 2.3917, decode.d0.loss_mask: 0.7556, decode.d0.loss_dice: 1.2789, decode.d1.loss_cls: 0.7842, decode.d1.loss_mask: 0.7668, decode.d1.loss_dice: 1.1907, decode.d2.loss_cls: 0.7377, decode.d2.loss_mask: 0.7557, decode.d2.loss_dice: 1.1453, decode.d3.loss_cls: 0.7256, decode.d3.loss_mask: 0.7438, decode.d3.loss_dice: 1.1223, decode.d4.loss_cls: 0.7262, decode.d4.loss_mask: 0.7375, decode.d4.loss_dice: 1.1184, decode.d5.loss_cls: 0.7085, decode.d5.loss_mask: 0.7364, decode.d5.loss_dice: 1.1183, decode.d6.loss_cls: 0.7080, decode.d6.loss_mask: 0.7342, decode.d6.loss_dice: 1.1003, decode.d7.loss_cls: 0.7071, decode.d7.loss_mask: 0.7360, decode.d7.loss_dice: 1.1022, decode.d8.loss_cls: 0.7025, decode.d8.loss_mask: 0.7359, decode.d8.loss_dice: 1.1052, loss: 27.7164 2022-09-13 18:17:30,587 - mmseg - INFO - Iter [71300/80000] lr: 1.562e-07, eta: 4:40:12, time: 1.884, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7040, decode.loss_mask: 0.7377, decode.loss_dice: 1.1356, decode.d0.loss_cls: 2.3997, decode.d0.loss_mask: 0.7695, decode.d0.loss_dice: 1.3192, decode.d1.loss_cls: 0.7897, decode.d1.loss_mask: 0.7760, decode.d1.loss_dice: 1.2272, decode.d2.loss_cls: 0.7320, decode.d2.loss_mask: 0.7603, decode.d2.loss_dice: 1.1802, decode.d3.loss_cls: 0.7241, decode.d3.loss_mask: 0.7517, decode.d3.loss_dice: 1.1536, decode.d4.loss_cls: 0.7123, decode.d4.loss_mask: 0.7476, decode.d4.loss_dice: 1.1545, decode.d5.loss_cls: 0.7053, decode.d5.loss_mask: 0.7474, decode.d5.loss_dice: 1.1548, decode.d6.loss_cls: 0.7055, decode.d6.loss_mask: 0.7473, decode.d6.loss_dice: 1.1375, decode.d7.loss_cls: 0.7031, decode.d7.loss_mask: 0.7445, decode.d7.loss_dice: 1.1422, decode.d8.loss_cls: 0.7025, decode.d8.loss_mask: 0.7407, decode.d8.loss_dice: 1.1442, loss: 28.1501 2022-09-13 18:19:03,977 - mmseg - INFO - Iter [71350/80000] lr: 1.553e-07, eta: 4:38:35, time: 1.868, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7149, decode.loss_mask: 0.7357, decode.loss_dice: 1.1164, decode.d0.loss_cls: 2.4294, decode.d0.loss_mask: 0.7647, decode.d0.loss_dice: 1.2981, decode.d1.loss_cls: 0.8017, decode.d1.loss_mask: 0.7771, decode.d1.loss_dice: 1.2114, decode.d2.loss_cls: 0.7483, decode.d2.loss_mask: 0.7585, decode.d2.loss_dice: 1.1650, decode.d3.loss_cls: 0.7372, decode.d3.loss_mask: 0.7467, decode.d3.loss_dice: 1.1380, decode.d4.loss_cls: 0.7311, decode.d4.loss_mask: 0.7421, decode.d4.loss_dice: 1.1343, decode.d5.loss_cls: 0.7214, decode.d5.loss_mask: 0.7393, decode.d5.loss_dice: 1.1329, decode.d6.loss_cls: 0.7224, decode.d6.loss_mask: 0.7377, decode.d6.loss_dice: 1.1146, decode.d7.loss_cls: 0.7210, decode.d7.loss_mask: 0.7351, decode.d7.loss_dice: 1.1188, decode.d8.loss_cls: 0.7145, decode.d8.loss_mask: 0.7365, decode.d8.loss_dice: 1.1187, loss: 28.0634 2022-09-13 18:20:37,155 - mmseg - INFO - Iter [71400/80000] lr: 1.544e-07, eta: 4:36:58, time: 1.864, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7253, decode.loss_mask: 0.7308, decode.loss_dice: 1.1401, decode.d0.loss_cls: 2.4327, decode.d0.loss_mask: 0.7556, decode.d0.loss_dice: 1.3279, decode.d1.loss_cls: 0.8055, decode.d1.loss_mask: 0.7641, decode.d1.loss_dice: 1.2386, decode.d2.loss_cls: 0.7573, decode.d2.loss_mask: 0.7480, decode.d2.loss_dice: 1.1749, decode.d3.loss_cls: 0.7381, decode.d3.loss_mask: 0.7423, decode.d3.loss_dice: 1.1538, decode.d4.loss_cls: 0.7337, decode.d4.loss_mask: 0.7390, decode.d4.loss_dice: 1.1633, decode.d5.loss_cls: 0.7273, decode.d5.loss_mask: 0.7372, decode.d5.loss_dice: 1.1572, decode.d6.loss_cls: 0.7244, decode.d6.loss_mask: 0.7306, decode.d6.loss_dice: 1.1494, decode.d7.loss_cls: 0.7224, decode.d7.loss_mask: 0.7299, decode.d7.loss_dice: 1.1495, decode.d8.loss_cls: 0.7234, decode.d8.loss_mask: 0.7322, decode.d8.loss_dice: 1.1522, loss: 28.3068 2022-09-13 18:22:10,031 - mmseg - INFO - Iter [71450/80000] lr: 1.535e-07, eta: 4:35:21, time: 1.855, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7182, decode.loss_mask: 0.7262, decode.loss_dice: 1.1274, decode.d0.loss_cls: 2.4330, decode.d0.loss_mask: 0.7432, decode.d0.loss_dice: 1.2918, decode.d1.loss_cls: 0.8044, decode.d1.loss_mask: 0.7553, decode.d1.loss_dice: 1.2088, decode.d2.loss_cls: 0.7530, decode.d2.loss_mask: 0.7452, decode.d2.loss_dice: 1.1621, decode.d3.loss_cls: 0.7366, decode.d3.loss_mask: 0.7391, decode.d3.loss_dice: 1.1486, decode.d4.loss_cls: 0.7289, decode.d4.loss_mask: 0.7348, decode.d4.loss_dice: 1.1412, decode.d5.loss_cls: 0.7193, decode.d5.loss_mask: 0.7315, decode.d5.loss_dice: 1.1318, decode.d6.loss_cls: 0.7206, decode.d6.loss_mask: 0.7259, decode.d6.loss_dice: 1.1246, decode.d7.loss_cls: 0.7250, decode.d7.loss_mask: 0.7251, decode.d7.loss_dice: 1.1230, decode.d8.loss_cls: 0.7192, decode.d8.loss_mask: 0.7244, decode.d8.loss_dice: 1.1188, loss: 27.9867 2022-09-13 18:23:45,550 - mmseg - INFO - Iter [71500/80000] lr: 1.526e-07, eta: 4:33:44, time: 1.913, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7443, decode.loss_mask: 0.7322, decode.loss_dice: 1.1031, decode.d0.loss_cls: 2.4834, decode.d0.loss_mask: 0.7631, decode.d0.loss_dice: 1.2928, decode.d1.loss_cls: 0.8310, decode.d1.loss_mask: 0.7708, decode.d1.loss_dice: 1.2027, decode.d2.loss_cls: 0.7835, decode.d2.loss_mask: 0.7515, decode.d2.loss_dice: 1.1441, decode.d3.loss_cls: 0.7695, decode.d3.loss_mask: 0.7426, decode.d3.loss_dice: 1.1271, decode.d4.loss_cls: 0.7576, decode.d4.loss_mask: 0.7436, decode.d4.loss_dice: 1.1212, decode.d5.loss_cls: 0.7519, decode.d5.loss_mask: 0.7384, decode.d5.loss_dice: 1.1176, decode.d6.loss_cls: 0.7463, decode.d6.loss_mask: 0.7326, decode.d6.loss_dice: 1.1113, decode.d7.loss_cls: 0.7411, decode.d7.loss_mask: 0.7317, decode.d7.loss_dice: 1.1088, decode.d8.loss_cls: 0.7415, decode.d8.loss_mask: 0.7350, decode.d8.loss_dice: 1.1054, loss: 28.2257 2022-09-13 18:25:20,033 - mmseg - INFO - Iter [71550/80000] lr: 1.517e-07, eta: 4:32:07, time: 1.890, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7266, decode.loss_mask: 0.7320, decode.loss_dice: 1.1594, decode.d0.loss_cls: 2.4037, decode.d0.loss_mask: 0.7504, decode.d0.loss_dice: 1.3461, decode.d1.loss_cls: 0.8131, decode.d1.loss_mask: 0.7630, decode.d1.loss_dice: 1.2622, decode.d2.loss_cls: 0.7658, decode.d2.loss_mask: 0.7493, decode.d2.loss_dice: 1.2136, decode.d3.loss_cls: 0.7447, decode.d3.loss_mask: 0.7425, decode.d3.loss_dice: 1.1864, decode.d4.loss_cls: 0.7386, decode.d4.loss_mask: 0.7396, decode.d4.loss_dice: 1.1801, decode.d5.loss_cls: 0.7382, decode.d5.loss_mask: 0.7342, decode.d5.loss_dice: 1.1700, decode.d6.loss_cls: 0.7332, decode.d6.loss_mask: 0.7287, decode.d6.loss_dice: 1.1622, decode.d7.loss_cls: 0.7321, decode.d7.loss_mask: 0.7288, decode.d7.loss_dice: 1.1587, decode.d8.loss_cls: 0.7275, decode.d8.loss_mask: 0.7279, decode.d8.loss_dice: 1.1591, loss: 28.5175 2022-09-13 18:26:54,977 - mmseg - INFO - Iter [71600/80000] lr: 1.508e-07, eta: 4:30:30, time: 1.899, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7306, decode.loss_mask: 0.7448, decode.loss_dice: 1.1717, decode.d0.loss_cls: 2.4492, decode.d0.loss_mask: 0.7725, decode.d0.loss_dice: 1.3499, decode.d1.loss_cls: 0.8060, decode.d1.loss_mask: 0.7754, decode.d1.loss_dice: 1.2682, decode.d2.loss_cls: 0.7566, decode.d2.loss_mask: 0.7677, decode.d2.loss_dice: 1.2155, decode.d3.loss_cls: 0.7378, decode.d3.loss_mask: 0.7583, decode.d3.loss_dice: 1.1943, decode.d4.loss_cls: 0.7330, decode.d4.loss_mask: 0.7560, decode.d4.loss_dice: 1.1941, decode.d5.loss_cls: 0.7333, decode.d5.loss_mask: 0.7514, decode.d5.loss_dice: 1.1901, decode.d6.loss_cls: 0.7327, decode.d6.loss_mask: 0.7475, decode.d6.loss_dice: 1.1770, decode.d7.loss_cls: 0.7356, decode.d7.loss_mask: 0.7458, decode.d7.loss_dice: 1.1768, decode.d8.loss_cls: 0.7331, decode.d8.loss_mask: 0.7452, decode.d8.loss_dice: 1.1749, loss: 28.8250 2022-09-13 18:28:29,941 - mmseg - INFO - Iter [71650/80000] lr: 1.499e-07, eta: 4:28:53, time: 1.899, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7045, decode.loss_mask: 0.7271, decode.loss_dice: 1.1217, decode.d0.loss_cls: 2.4644, decode.d0.loss_mask: 0.7347, decode.d0.loss_dice: 1.2899, decode.d1.loss_cls: 0.7859, decode.d1.loss_mask: 0.7583, decode.d1.loss_dice: 1.2187, decode.d2.loss_cls: 0.7374, decode.d2.loss_mask: 0.7395, decode.d2.loss_dice: 1.1606, decode.d3.loss_cls: 0.7246, decode.d3.loss_mask: 0.7344, decode.d3.loss_dice: 1.1336, decode.d4.loss_cls: 0.7148, decode.d4.loss_mask: 0.7299, decode.d4.loss_dice: 1.1327, decode.d5.loss_cls: 0.7106, decode.d5.loss_mask: 0.7278, decode.d5.loss_dice: 1.1295, decode.d6.loss_cls: 0.7129, decode.d6.loss_mask: 0.7240, decode.d6.loss_dice: 1.1257, decode.d7.loss_cls: 0.7096, decode.d7.loss_mask: 0.7252, decode.d7.loss_dice: 1.1161, decode.d8.loss_cls: 0.7077, decode.d8.loss_mask: 0.7272, decode.d8.loss_dice: 1.1199, loss: 27.8490 2022-09-13 18:30:04,258 - mmseg - INFO - Iter [71700/80000] lr: 1.490e-07, eta: 4:27:16, time: 1.886, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7234, decode.loss_mask: 0.7255, decode.loss_dice: 1.1211, decode.d0.loss_cls: 2.4052, decode.d0.loss_mask: 0.7545, decode.d0.loss_dice: 1.3014, decode.d1.loss_cls: 0.8098, decode.d1.loss_mask: 0.7598, decode.d1.loss_dice: 1.2138, decode.d2.loss_cls: 0.7559, decode.d2.loss_mask: 0.7465, decode.d2.loss_dice: 1.1657, decode.d3.loss_cls: 0.7552, decode.d3.loss_mask: 0.7352, decode.d3.loss_dice: 1.1346, decode.d4.loss_cls: 0.7385, decode.d4.loss_mask: 0.7367, decode.d4.loss_dice: 1.1393, decode.d5.loss_cls: 0.7304, decode.d5.loss_mask: 0.7344, decode.d5.loss_dice: 1.1368, decode.d6.loss_cls: 0.7245, decode.d6.loss_mask: 0.7234, decode.d6.loss_dice: 1.1240, decode.d7.loss_cls: 0.7242, decode.d7.loss_mask: 0.7263, decode.d7.loss_dice: 1.1220, decode.d8.loss_cls: 0.7214, decode.d8.loss_mask: 0.7243, decode.d8.loss_dice: 1.1257, loss: 28.0399 2022-09-13 18:31:38,322 - mmseg - INFO - Iter [71750/80000] lr: 1.481e-07, eta: 4:25:40, time: 1.881, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7189, decode.loss_mask: 0.7354, decode.loss_dice: 1.1370, decode.d0.loss_cls: 2.4603, decode.d0.loss_mask: 0.7659, decode.d0.loss_dice: 1.3245, decode.d1.loss_cls: 0.8057, decode.d1.loss_mask: 0.7685, decode.d1.loss_dice: 1.2397, decode.d2.loss_cls: 0.7460, decode.d2.loss_mask: 0.7559, decode.d2.loss_dice: 1.1958, decode.d3.loss_cls: 0.7420, decode.d3.loss_mask: 0.7457, decode.d3.loss_dice: 1.1578, decode.d4.loss_cls: 0.7403, decode.d4.loss_mask: 0.7441, decode.d4.loss_dice: 1.1533, decode.d5.loss_cls: 0.7260, decode.d5.loss_mask: 0.7400, decode.d5.loss_dice: 1.1456, decode.d6.loss_cls: 0.7184, decode.d6.loss_mask: 0.7385, decode.d6.loss_dice: 1.1384, decode.d7.loss_cls: 0.7160, decode.d7.loss_mask: 0.7376, decode.d7.loss_dice: 1.1406, decode.d8.loss_cls: 0.7175, decode.d8.loss_mask: 0.7346, decode.d8.loss_dice: 1.1415, loss: 28.3312 2022-09-13 18:33:12,587 - mmseg - INFO - Iter [71800/80000] lr: 1.472e-07, eta: 4:24:03, time: 1.885, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7582, decode.loss_mask: 0.7298, decode.loss_dice: 1.1563, decode.d0.loss_cls: 2.4950, decode.d0.loss_mask: 0.7511, decode.d0.loss_dice: 1.3366, decode.d1.loss_cls: 0.8523, decode.d1.loss_mask: 0.7699, decode.d1.loss_dice: 1.2517, decode.d2.loss_cls: 0.7876, decode.d2.loss_mask: 0.7468, decode.d2.loss_dice: 1.1996, decode.d3.loss_cls: 0.7773, decode.d3.loss_mask: 0.7432, decode.d3.loss_dice: 1.1694, decode.d4.loss_cls: 0.7691, decode.d4.loss_mask: 0.7365, decode.d4.loss_dice: 1.1731, decode.d5.loss_cls: 0.7596, decode.d5.loss_mask: 0.7391, decode.d5.loss_dice: 1.1700, decode.d6.loss_cls: 0.7572, decode.d6.loss_mask: 0.7334, decode.d6.loss_dice: 1.1588, decode.d7.loss_cls: 0.7551, decode.d7.loss_mask: 0.7328, decode.d7.loss_dice: 1.1576, decode.d8.loss_cls: 0.7524, decode.d8.loss_mask: 0.7308, decode.d8.loss_dice: 1.1586, loss: 28.8088 2022-09-13 18:34:47,467 - mmseg - INFO - Iter [71850/80000] lr: 1.463e-07, eta: 4:22:26, time: 1.898, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7243, decode.loss_mask: 0.7534, decode.loss_dice: 1.1483, decode.d0.loss_cls: 2.4559, decode.d0.loss_mask: 0.7645, decode.d0.loss_dice: 1.3221, decode.d1.loss_cls: 0.8106, decode.d1.loss_mask: 0.7797, decode.d1.loss_dice: 1.2430, decode.d2.loss_cls: 0.7566, decode.d2.loss_mask: 0.7668, decode.d2.loss_dice: 1.1878, decode.d3.loss_cls: 0.7458, decode.d3.loss_mask: 0.7588, decode.d3.loss_dice: 1.1667, decode.d4.loss_cls: 0.7343, decode.d4.loss_mask: 0.7558, decode.d4.loss_dice: 1.1641, decode.d5.loss_cls: 0.7345, decode.d5.loss_mask: 0.7515, decode.d5.loss_dice: 1.1543, decode.d6.loss_cls: 0.7277, decode.d6.loss_mask: 0.7490, decode.d6.loss_dice: 1.1451, decode.d7.loss_cls: 0.7291, decode.d7.loss_mask: 0.7485, decode.d7.loss_dice: 1.1454, decode.d8.loss_cls: 0.7177, decode.d8.loss_mask: 0.7528, decode.d8.loss_dice: 1.1499, loss: 28.5443 2022-09-13 18:36:20,878 - mmseg - INFO - Iter [71900/80000] lr: 1.454e-07, eta: 4:20:49, time: 1.868, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7410, decode.loss_mask: 0.7539, decode.loss_dice: 1.1592, decode.d0.loss_cls: 2.4870, decode.d0.loss_mask: 0.7800, decode.d0.loss_dice: 1.3448, decode.d1.loss_cls: 0.8369, decode.d1.loss_mask: 0.7935, decode.d1.loss_dice: 1.2586, decode.d2.loss_cls: 0.7840, decode.d2.loss_mask: 0.7751, decode.d2.loss_dice: 1.2018, decode.d3.loss_cls: 0.7638, decode.d3.loss_mask: 0.7661, decode.d3.loss_dice: 1.1824, decode.d4.loss_cls: 0.7520, decode.d4.loss_mask: 0.7649, decode.d4.loss_dice: 1.1790, decode.d5.loss_cls: 0.7522, decode.d5.loss_mask: 0.7586, decode.d5.loss_dice: 1.1721, decode.d6.loss_cls: 0.7494, decode.d6.loss_mask: 0.7554, decode.d6.loss_dice: 1.1625, decode.d7.loss_cls: 0.7436, decode.d7.loss_mask: 0.7564, decode.d7.loss_dice: 1.1616, decode.d8.loss_cls: 0.7426, decode.d8.loss_mask: 0.7530, decode.d8.loss_dice: 1.1534, loss: 28.9849 2022-09-13 18:37:55,585 - mmseg - INFO - Iter [71950/80000] lr: 1.445e-07, eta: 4:19:12, time: 1.894, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7222, decode.loss_mask: 0.7438, decode.loss_dice: 1.1283, decode.d0.loss_cls: 2.3881, decode.d0.loss_mask: 0.7686, decode.d0.loss_dice: 1.3058, decode.d1.loss_cls: 0.8050, decode.d1.loss_mask: 0.7769, decode.d1.loss_dice: 1.2232, decode.d2.loss_cls: 0.7564, decode.d2.loss_mask: 0.7638, decode.d2.loss_dice: 1.1693, decode.d3.loss_cls: 0.7402, decode.d3.loss_mask: 0.7519, decode.d3.loss_dice: 1.1474, decode.d4.loss_cls: 0.7389, decode.d4.loss_mask: 0.7466, decode.d4.loss_dice: 1.1470, decode.d5.loss_cls: 0.7249, decode.d5.loss_mask: 0.7453, decode.d5.loss_dice: 1.1440, decode.d6.loss_cls: 0.7251, decode.d6.loss_mask: 0.7448, decode.d6.loss_dice: 1.1265, decode.d7.loss_cls: 0.7212, decode.d7.loss_mask: 0.7449, decode.d7.loss_dice: 1.1274, decode.d8.loss_cls: 0.7271, decode.d8.loss_mask: 0.7439, decode.d8.loss_dice: 1.1300, loss: 28.2284 2022-09-13 18:39:29,461 - mmseg - INFO - Saving checkpoint at 72000 iterations 2022-09-13 18:40:04,459 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 18:40:04,468 - mmseg - INFO - Iter [72000/80000] lr: 1.436e-07, eta: 4:17:39, time: 2.575, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7268, decode.loss_mask: 0.7589, decode.loss_dice: 1.1689, decode.d0.loss_cls: 2.3777, decode.d0.loss_mask: 0.7849, decode.d0.loss_dice: 1.3401, decode.d1.loss_cls: 0.8048, decode.d1.loss_mask: 0.7905, decode.d1.loss_dice: 1.2552, decode.d2.loss_cls: 0.7502, decode.d2.loss_mask: 0.7750, decode.d2.loss_dice: 1.2090, decode.d3.loss_cls: 0.7387, decode.d3.loss_mask: 0.7734, decode.d3.loss_dice: 1.1855, decode.d4.loss_cls: 0.7272, decode.d4.loss_mask: 0.7667, decode.d4.loss_dice: 1.1844, decode.d5.loss_cls: 0.7226, decode.d5.loss_mask: 0.7655, decode.d5.loss_dice: 1.1829, decode.d6.loss_cls: 0.7236, decode.d6.loss_mask: 0.7613, decode.d6.loss_dice: 1.1681, decode.d7.loss_cls: 0.7179, decode.d7.loss_mask: 0.7595, decode.d7.loss_dice: 1.1689, decode.d8.loss_cls: 0.7220, decode.d8.loss_mask: 0.7577, decode.d8.loss_dice: 1.1745, loss: 28.7427 2022-09-13 18:45:01,073 - mmseg - INFO - per class results: 2022-09-13 18:45:01,084 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 88.23 | 94.23 | | bicycle | 77.29 | 86.54 | | car | 66.18 | 85.71 | | motorcycle | 86.44 | 91.56 | | airplane | 87.22 | 93.99 | | bus | 87.2 | 91.84 | | train | 85.53 | 95.81 | | truck | 67.96 | 83.74 | | boat | 72.07 | 88.05 | | traffic light | 74.61 | 87.99 | | fire hydrant | 92.18 | 96.54 | | stop sign | 91.5 | 98.48 | | parking meter | 76.13 | 87.09 | | bench | 56.48 | 76.14 | | bird | 84.84 | 92.81 | | cat | 83.27 | 88.92 | | dog | 81.08 | 87.94 | | horse | 84.29 | 95.18 | | sheep | 88.6 | 95.9 | | cow | 87.65 | 91.36 | | elephant | 93.22 | 96.8 | | bear | 93.4 | 96.36 | | zebra | 90.81 | 93.78 | | giraffe | 88.86 | 94.8 | | backpack | 39.17 | 72.96 | | umbrella | 89.83 | 95.15 | | handbag | 44.03 | 71.52 | | tie | 18.78 | 23.31 | | suitcase | 83.5 | 93.5 | | frisbee | 81.54 | 95.43 | | skis | 63.39 | 80.23 | | snowboard | 75.99 | 84.07 | | sports ball | 60.06 | 77.42 | | kite | 78.54 | 86.95 | | baseball bat | 49.48 | 86.42 | | baseball glove | 76.16 | 91.76 | | skateboard | 85.65 | 91.84 | | surfboard | 81.79 | 94.15 | | tennis racket | 88.71 | 94.01 | | bottle | 47.21 | 59.75 | | wine glass | 62.89 | 86.54 | | cup | 56.07 | 75.41 | | fork | 51.5 | 63.24 | | knife | 50.71 | 69.87 | | spoon | 44.0 | 60.57 | | bowl | 49.92 | 71.17 | | banana | 71.63 | 90.9 | | apple | 58.23 | 74.94 | | sandwich | 44.6 | 57.33 | | orange | 71.75 | 75.71 | | broccoli | 54.83 | 67.73 | | carrot | 57.93 | 68.15 | | hot dog | 53.74 | 63.84 | | pizza | 70.33 | 81.56 | | donut | 78.36 | 91.07 | | cake | 69.96 | 79.3 | | chair | 55.98 | 73.38 | | couch | 62.02 | 81.23 | | potted plant | 40.43 | 64.37 | | bed | 69.92 | 84.52 | | dining table | 44.59 | 79.71 | | toilet | 86.76 | 95.34 | | tv | 76.33 | 87.93 | | laptop | 81.76 | 93.32 | | mouse | 81.07 | 90.63 | | remote | 65.76 | 81.8 | | keyboard | 72.08 | 84.3 | | cell phone | 78.02 | 88.95 | | microwave | 73.69 | 83.23 | | oven | 61.55 | 86.06 | | toaster | 77.81 | 88.5 | | sink | 67.3 | 83.54 | | refrigerator | 81.46 | 93.29 | | book | 59.44 | 80.55 | | clock | 73.79 | 82.51 | | vase | 65.34 | 87.02 | | scissors | 81.93 | 92.17 | | teddy bear | 82.97 | 94.64 | | hair drier | 47.89 | 60.75 | | toothbrush | 63.53 | 87.6 | | banner | 36.79 | 67.62 | | blanket | 6.76 | 8.86 | | branch | 23.48 | 43.01 | | bridge | 46.63 | 69.35 | | building-other | 54.2 | 71.06 | | bush | 36.42 | 47.34 | | cabinet | 58.97 | 76.81 | | cage | 18.28 | 23.67 | | cardboard | 48.74 | 62.99 | | carpet | 56.27 | 77.77 | | ceiling-other | 67.94 | 83.25 | | ceiling-tile | 0.04 | 0.05 | | cloth | 4.88 | 5.08 | | clothes | 24.83 | 37.28 | | clouds | 48.82 | 65.73 | | counter | 32.13 | 52.25 | | cupboard | 0.0 | 0.0 | | curtain | 72.22 | 84.08 | | desk-stuff | 46.71 | 62.13 | | dirt | 41.89 | 61.69 | | door-stuff | 49.74 | 71.16 | | fence | 34.4 | 59.62 | | floor-marble | 10.24 | 12.43 | | floor-other | 25.71 | 34.72 | | floor-stone | 6.46 | 9.27 | | floor-tile | 68.46 | 77.4 | | floor-wood | 67.66 | 81.05 | | flower | 40.05 | 56.92 | | fog | 4.21 | 4.35 | | food-other | 27.27 | 31.57 | | fruit | 50.03 | 72.75 | | furniture-other | 22.33 | 31.3 | | grass | 71.81 | 84.07 | | gravel | 34.82 | 54.05 | | ground-other | 3.52 | 4.42 | | hill | 19.22 | 25.44 | | house | 26.65 | 34.29 | | leaves | 32.37 | 46.9 | | light | 42.04 | 61.08 | | mat | 0.02 | 0.02 | | metal | 38.38 | 54.02 | | mirror-stuff | 65.64 | 83.6 | | moss | 0.0 | 0.0 | | mountain | 55.86 | 73.73 | | mud | 7.49 | 14.69 | | napkin | 7.96 | 8.81 | | net | 43.93 | 66.19 | | paper | 34.08 | 45.94 | | pavement | 52.98 | 67.22 | | pillow | 18.8 | 32.59 | | plant-other | 22.5 | 38.71 | | plastic | 26.37 | 35.07 | | platform | 31.55 | 45.37 | | playingfield | 68.9 | 89.99 | | railing | 10.18 | 22.27 | | railroad | 62.39 | 80.16 | | river | 50.94 | 71.7 | | road | 67.78 | 87.62 | | rock | 46.83 | 63.62 | | roof | 24.28 | 32.01 | | rug | 36.67 | 51.71 | | salad | 0.0 | 0.0 | | sand | 67.05 | 72.74 | | sea | 86.55 | 91.38 | | shelf | 40.0 | 51.04 | | sky-other | 70.96 | 86.09 | | skyscraper | 37.41 | 48.62 | | snow | 90.69 | 94.27 | | solid-other | 0.18 | 0.18 | | stairs | 29.54 | 54.47 | | stone | 16.21 | 30.62 | | straw | 33.85 | 46.46 | | structural-other | 0.79 | 0.83 | | table | 19.27 | 23.63 | | tent | 10.74 | 14.72 | | textile-other | 17.98 | 29.7 | | towel | 39.9 | 48.63 | | tree | 75.07 | 86.16 | | vegetable | 45.55 | 57.95 | | wall-brick | 52.08 | 65.79 | | wall-concrete | 63.18 | 80.14 | | wall-other | 22.54 | 38.9 | | wall-panel | 2.69 | 3.19 | | wall-stone | 32.62 | 43.7 | | wall-tile | 73.09 | 86.82 | | wall-wood | 44.67 | 61.74 | | water-other | 26.58 | 40.94 | | waterdrops | 0.0 | 0.0 | | window-blind | 52.65 | 64.65 | | window-other | 51.65 | 74.51 | | wood | 29.66 | 45.94 | +------------------+-------+-------+ 2022-09-13 18:45:01,085 - mmseg - INFO - Summary: 2022-09-13 18:45:01,085 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 73.65 | 52.14 | 64.65 | +-------+-------+-------+ 2022-09-13 18:45:01,104 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 18:45:01,105 - mmseg - INFO - Iter(val) [313] aAcc: 0.7365, mIoU: 0.5214, mAcc: 0.6465, IoU.person: 0.8823, IoU.bicycle: 0.7729, IoU.car: 0.6618, IoU.motorcycle: 0.8644, IoU.airplane: 0.8722, IoU.bus: 0.8720, IoU.train: 0.8553, IoU.truck: 0.6796, IoU.boat: 0.7207, IoU.traffic light: 0.7461, IoU.fire hydrant: 0.9218, IoU.stop sign: 0.9150, IoU.parking meter: 0.7613, IoU.bench: 0.5648, IoU.bird: 0.8484, IoU.cat: 0.8327, IoU.dog: 0.8108, IoU.horse: 0.8429, IoU.sheep: 0.8860, IoU.cow: 0.8765, IoU.elephant: 0.9322, IoU.bear: 0.9340, IoU.zebra: 0.9081, IoU.giraffe: 0.8886, IoU.backpack: 0.3917, IoU.umbrella: 0.8983, IoU.handbag: 0.4403, IoU.tie: 0.1878, IoU.suitcase: 0.8350, IoU.frisbee: 0.8154, IoU.skis: 0.6339, IoU.snowboard: 0.7599, IoU.sports ball: 0.6006, IoU.kite: 0.7854, IoU.baseball bat: 0.4948, IoU.baseball glove: 0.7616, IoU.skateboard: 0.8565, IoU.surfboard: 0.8179, IoU.tennis racket: 0.8871, IoU.bottle: 0.4721, IoU.wine glass: 0.6289, IoU.cup: 0.5607, IoU.fork: 0.5150, IoU.knife: 0.5071, IoU.spoon: 0.4400, IoU.bowl: 0.4992, IoU.banana: 0.7163, IoU.apple: 0.5823, IoU.sandwich: 0.4460, IoU.orange: 0.7175, IoU.broccoli: 0.5483, IoU.carrot: 0.5793, IoU.hot dog: 0.5374, IoU.pizza: 0.7033, IoU.donut: 0.7836, IoU.cake: 0.6996, IoU.chair: 0.5598, IoU.couch: 0.6202, IoU.potted plant: 0.4043, IoU.bed: 0.6992, IoU.dining table: 0.4459, IoU.toilet: 0.8676, IoU.tv: 0.7633, IoU.laptop: 0.8176, IoU.mouse: 0.8107, IoU.remote: 0.6576, IoU.keyboard: 0.7208, IoU.cell phone: 0.7802, IoU.microwave: 0.7369, IoU.oven: 0.6155, IoU.toaster: 0.7781, IoU.sink: 0.6730, IoU.refrigerator: 0.8146, IoU.book: 0.5944, IoU.clock: 0.7379, IoU.vase: 0.6534, IoU.scissors: 0.8193, IoU.teddy bear: 0.8297, IoU.hair drier: 0.4789, IoU.toothbrush: 0.6353, IoU.banner: 0.3679, IoU.blanket: 0.0676, IoU.branch: 0.2348, IoU.bridge: 0.4663, IoU.building-other: 0.5420, IoU.bush: 0.3642, IoU.cabinet: 0.5897, IoU.cage: 0.1828, IoU.cardboard: 0.4874, IoU.carpet: 0.5627, IoU.ceiling-other: 0.6794, IoU.ceiling-tile: 0.0004, IoU.cloth: 0.0488, IoU.clothes: 0.2483, IoU.clouds: 0.4882, IoU.counter: 0.3213, IoU.cupboard: 0.0000, IoU.curtain: 0.7222, IoU.desk-stuff: 0.4671, IoU.dirt: 0.4189, IoU.door-stuff: 0.4974, IoU.fence: 0.3440, IoU.floor-marble: 0.1024, IoU.floor-other: 0.2571, IoU.floor-stone: 0.0646, IoU.floor-tile: 0.6846, IoU.floor-wood: 0.6766, IoU.flower: 0.4005, IoU.fog: 0.0421, IoU.food-other: 0.2727, IoU.fruit: 0.5003, IoU.furniture-other: 0.2233, IoU.grass: 0.7181, IoU.gravel: 0.3482, IoU.ground-other: 0.0352, IoU.hill: 0.1922, IoU.house: 0.2665, IoU.leaves: 0.3237, IoU.light: 0.4204, IoU.mat: 0.0002, IoU.metal: 0.3838, IoU.mirror-stuff: 0.6564, IoU.moss: 0.0000, IoU.mountain: 0.5586, IoU.mud: 0.0749, IoU.napkin: 0.0796, IoU.net: 0.4393, IoU.paper: 0.3408, IoU.pavement: 0.5298, IoU.pillow: 0.1880, IoU.plant-other: 0.2250, IoU.plastic: 0.2637, IoU.platform: 0.3155, IoU.playingfield: 0.6890, IoU.railing: 0.1018, IoU.railroad: 0.6239, IoU.river: 0.5094, IoU.road: 0.6778, IoU.rock: 0.4683, IoU.roof: 0.2428, IoU.rug: 0.3667, IoU.salad: 0.0000, IoU.sand: 0.6705, IoU.sea: 0.8655, IoU.shelf: 0.4000, IoU.sky-other: 0.7096, IoU.skyscraper: 0.3741, IoU.snow: 0.9069, IoU.solid-other: 0.0018, IoU.stairs: 0.2954, IoU.stone: 0.1621, IoU.straw: 0.3385, IoU.structural-other: 0.0079, IoU.table: 0.1927, IoU.tent: 0.1074, IoU.textile-other: 0.1798, IoU.towel: 0.3990, IoU.tree: 0.7507, IoU.vegetable: 0.4555, IoU.wall-brick: 0.5208, IoU.wall-concrete: 0.6318, IoU.wall-other: 0.2254, IoU.wall-panel: 0.0269, IoU.wall-stone: 0.3262, IoU.wall-tile: 0.7309, IoU.wall-wood: 0.4467, IoU.water-other: 0.2658, IoU.waterdrops: 0.0000, IoU.window-blind: 0.5265, IoU.window-other: 0.5165, IoU.wood: 0.2966, Acc.person: 0.9423, Acc.bicycle: 0.8654, Acc.car: 0.8571, Acc.motorcycle: 0.9156, Acc.airplane: 0.9399, Acc.bus: 0.9184, Acc.train: 0.9581, Acc.truck: 0.8374, Acc.boat: 0.8805, Acc.traffic light: 0.8799, Acc.fire hydrant: 0.9654, Acc.stop sign: 0.9848, Acc.parking meter: 0.8709, Acc.bench: 0.7614, Acc.bird: 0.9281, Acc.cat: 0.8892, Acc.dog: 0.8794, Acc.horse: 0.9518, Acc.sheep: 0.9590, Acc.cow: 0.9136, Acc.elephant: 0.9680, Acc.bear: 0.9636, Acc.zebra: 0.9378, Acc.giraffe: 0.9480, Acc.backpack: 0.7296, Acc.umbrella: 0.9515, Acc.handbag: 0.7152, Acc.tie: 0.2331, Acc.suitcase: 0.9350, Acc.frisbee: 0.9543, Acc.skis: 0.8023, Acc.snowboard: 0.8407, Acc.sports ball: 0.7742, Acc.kite: 0.8695, Acc.baseball bat: 0.8642, Acc.baseball glove: 0.9176, Acc.skateboard: 0.9184, Acc.surfboard: 0.9415, Acc.tennis racket: 0.9401, Acc.bottle: 0.5975, Acc.wine glass: 0.8654, Acc.cup: 0.7541, Acc.fork: 0.6324, Acc.knife: 0.6987, Acc.spoon: 0.6057, Acc.bowl: 0.7117, Acc.banana: 0.9090, Acc.apple: 0.7494, Acc.sandwich: 0.5733, Acc.orange: 0.7571, Acc.broccoli: 0.6773, Acc.carrot: 0.6815, Acc.hot dog: 0.6384, Acc.pizza: 0.8156, Acc.donut: 0.9107, Acc.cake: 0.7930, Acc.chair: 0.7338, Acc.couch: 0.8123, Acc.potted plant: 0.6437, Acc.bed: 0.8452, Acc.dining table: 0.7971, Acc.toilet: 0.9534, Acc.tv: 0.8793, Acc.laptop: 0.9332, Acc.mouse: 0.9063, Acc.remote: 0.8180, Acc.keyboard: 0.8430, Acc.cell phone: 0.8895, Acc.microwave: 0.8323, Acc.oven: 0.8606, Acc.toaster: 0.8850, Acc.sink: 0.8354, Acc.refrigerator: 0.9329, Acc.book: 0.8055, Acc.clock: 0.8251, Acc.vase: 0.8702, Acc.scissors: 0.9217, Acc.teddy bear: 0.9464, Acc.hair drier: 0.6075, Acc.toothbrush: 0.8760, Acc.banner: 0.6762, Acc.blanket: 0.0886, Acc.branch: 0.4301, Acc.bridge: 0.6935, Acc.building-other: 0.7106, Acc.bush: 0.4734, Acc.cabinet: 0.7681, Acc.cage: 0.2367, Acc.cardboard: 0.6299, Acc.carpet: 0.7777, Acc.ceiling-other: 0.8325, Acc.ceiling-tile: 0.0005, Acc.cloth: 0.0508, Acc.clothes: 0.3728, Acc.clouds: 0.6573, Acc.counter: 0.5225, Acc.cupboard: 0.0000, Acc.curtain: 0.8408, Acc.desk-stuff: 0.6213, Acc.dirt: 0.6169, Acc.door-stuff: 0.7116, Acc.fence: 0.5962, Acc.floor-marble: 0.1243, Acc.floor-other: 0.3472, Acc.floor-stone: 0.0927, Acc.floor-tile: 0.7740, Acc.floor-wood: 0.8105, Acc.flower: 0.5692, Acc.fog: 0.0435, Acc.food-other: 0.3157, Acc.fruit: 0.7275, Acc.furniture-other: 0.3130, Acc.grass: 0.8407, Acc.gravel: 0.5405, Acc.ground-other: 0.0442, Acc.hill: 0.2544, Acc.house: 0.3429, Acc.leaves: 0.4690, Acc.light: 0.6108, Acc.mat: 0.0002, Acc.metal: 0.5402, Acc.mirror-stuff: 0.8360, Acc.moss: 0.0000, Acc.mountain: 0.7373, Acc.mud: 0.1469, Acc.napkin: 0.0881, Acc.net: 0.6619, Acc.paper: 0.4594, Acc.pavement: 0.6722, Acc.pillow: 0.3259, Acc.plant-other: 0.3871, Acc.plastic: 0.3507, Acc.platform: 0.4537, Acc.playingfield: 0.8999, Acc.railing: 0.2227, Acc.railroad: 0.8016, Acc.river: 0.7170, Acc.road: 0.8762, Acc.rock: 0.6362, Acc.roof: 0.3201, Acc.rug: 0.5171, Acc.salad: 0.0000, Acc.sand: 0.7274, Acc.sea: 0.9138, Acc.shelf: 0.5104, Acc.sky-other: 0.8609, Acc.skyscraper: 0.4862, Acc.snow: 0.9427, Acc.solid-other: 0.0018, Acc.stairs: 0.5447, Acc.stone: 0.3062, Acc.straw: 0.4646, Acc.structural-other: 0.0083, Acc.table: 0.2363, Acc.tent: 0.1472, Acc.textile-other: 0.2970, Acc.towel: 0.4863, Acc.tree: 0.8616, Acc.vegetable: 0.5795, Acc.wall-brick: 0.6579, Acc.wall-concrete: 0.8014, Acc.wall-other: 0.3890, Acc.wall-panel: 0.0319, Acc.wall-stone: 0.4370, Acc.wall-tile: 0.8682, Acc.wall-wood: 0.6174, Acc.water-other: 0.4094, Acc.waterdrops: 0.0000, Acc.window-blind: 0.6465, Acc.window-other: 0.7451, Acc.wood: 0.4594 2022-09-13 18:46:37,205 - mmseg - INFO - Iter [72050/80000] lr: 1.427e-07, eta: 4:16:35, time: 7.857, data_time: 5.951, memory: 42763, decode.loss_cls: 0.7390, decode.loss_mask: 0.7126, decode.loss_dice: 1.1374, decode.d0.loss_cls: 2.4351, decode.d0.loss_mask: 0.7482, decode.d0.loss_dice: 1.3402, decode.d1.loss_cls: 0.8188, decode.d1.loss_mask: 0.7516, decode.d1.loss_dice: 1.2448, decode.d2.loss_cls: 0.7692, decode.d2.loss_mask: 0.7346, decode.d2.loss_dice: 1.1880, decode.d3.loss_cls: 0.7564, decode.d3.loss_mask: 0.7280, decode.d3.loss_dice: 1.1655, decode.d4.loss_cls: 0.7525, decode.d4.loss_mask: 0.7245, decode.d4.loss_dice: 1.1613, decode.d5.loss_cls: 0.7426, decode.d5.loss_mask: 0.7234, decode.d5.loss_dice: 1.1549, decode.d6.loss_cls: 0.7424, decode.d6.loss_mask: 0.7198, decode.d6.loss_dice: 1.1413, decode.d7.loss_cls: 0.7369, decode.d7.loss_mask: 0.7154, decode.d7.loss_dice: 1.1505, decode.d8.loss_cls: 0.7397, decode.d8.loss_mask: 0.7141, decode.d8.loss_dice: 1.1395, loss: 28.3284 2022-09-13 18:48:09,973 - mmseg - INFO - Iter [72100/80000] lr: 1.418e-07, eta: 4:14:58, time: 1.856, data_time: 0.014, memory: 42763, decode.loss_cls: 0.6941, decode.loss_mask: 0.7218, decode.loss_dice: 1.1039, decode.d0.loss_cls: 2.3903, decode.d0.loss_mask: 0.7477, decode.d0.loss_dice: 1.2778, decode.d1.loss_cls: 0.7817, decode.d1.loss_mask: 0.7607, decode.d1.loss_dice: 1.1957, decode.d2.loss_cls: 0.7244, decode.d2.loss_mask: 0.7398, decode.d2.loss_dice: 1.1509, decode.d3.loss_cls: 0.7111, decode.d3.loss_mask: 0.7325, decode.d3.loss_dice: 1.1306, decode.d4.loss_cls: 0.7032, decode.d4.loss_mask: 0.7281, decode.d4.loss_dice: 1.1260, decode.d5.loss_cls: 0.6990, decode.d5.loss_mask: 0.7248, decode.d5.loss_dice: 1.1188, decode.d6.loss_cls: 0.6973, decode.d6.loss_mask: 0.7223, decode.d6.loss_dice: 1.1121, decode.d7.loss_cls: 0.6924, decode.d7.loss_mask: 0.7235, decode.d7.loss_dice: 1.1068, decode.d8.loss_cls: 0.6956, decode.d8.loss_mask: 0.7204, decode.d8.loss_dice: 1.1059, loss: 27.5394 2022-09-13 18:49:43,906 - mmseg - INFO - Iter [72150/80000] lr: 1.409e-07, eta: 4:13:21, time: 1.879, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7412, decode.loss_mask: 0.7644, decode.loss_dice: 1.1270, decode.d0.loss_cls: 2.4789, decode.d0.loss_mask: 0.7936, decode.d0.loss_dice: 1.3238, decode.d1.loss_cls: 0.8311, decode.d1.loss_mask: 0.8050, decode.d1.loss_dice: 1.2354, decode.d2.loss_cls: 0.7641, decode.d2.loss_mask: 0.7871, decode.d2.loss_dice: 1.1812, decode.d3.loss_cls: 0.7548, decode.d3.loss_mask: 0.7743, decode.d3.loss_dice: 1.1510, decode.d4.loss_cls: 0.7482, decode.d4.loss_mask: 0.7705, decode.d4.loss_dice: 1.1456, decode.d5.loss_cls: 0.7522, decode.d5.loss_mask: 0.7643, decode.d5.loss_dice: 1.1366, decode.d6.loss_cls: 0.7433, decode.d6.loss_mask: 0.7644, decode.d6.loss_dice: 1.1230, decode.d7.loss_cls: 0.7403, decode.d7.loss_mask: 0.7642, decode.d7.loss_dice: 1.1277, decode.d8.loss_cls: 0.7405, decode.d8.loss_mask: 0.7693, decode.d8.loss_dice: 1.1309, loss: 28.7340 2022-09-13 18:51:19,118 - mmseg - INFO - Iter [72200/80000] lr: 1.400e-07, eta: 4:11:44, time: 1.904, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7736, decode.loss_mask: 0.7224, decode.loss_dice: 1.1425, decode.d0.loss_cls: 2.5128, decode.d0.loss_mask: 0.7586, decode.d0.loss_dice: 1.3401, decode.d1.loss_cls: 0.8673, decode.d1.loss_mask: 0.7629, decode.d1.loss_dice: 1.2444, decode.d2.loss_cls: 0.8078, decode.d2.loss_mask: 0.7423, decode.d2.loss_dice: 1.1940, decode.d3.loss_cls: 0.7896, decode.d3.loss_mask: 0.7320, decode.d3.loss_dice: 1.1714, decode.d4.loss_cls: 0.7857, decode.d4.loss_mask: 0.7321, decode.d4.loss_dice: 1.1577, decode.d5.loss_cls: 0.7785, decode.d5.loss_mask: 0.7286, decode.d5.loss_dice: 1.1579, decode.d6.loss_cls: 0.7740, decode.d6.loss_mask: 0.7256, decode.d6.loss_dice: 1.1420, decode.d7.loss_cls: 0.7692, decode.d7.loss_mask: 0.7230, decode.d7.loss_dice: 1.1462, decode.d8.loss_cls: 0.7737, decode.d8.loss_mask: 0.7237, decode.d8.loss_dice: 1.1467, loss: 28.8264 2022-09-13 18:52:54,171 - mmseg - INFO - Iter [72250/80000] lr: 1.391e-07, eta: 4:10:07, time: 1.900, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7316, decode.loss_mask: 0.7564, decode.loss_dice: 1.1510, decode.d0.loss_cls: 2.4230, decode.d0.loss_mask: 0.7907, decode.d0.loss_dice: 1.3361, decode.d1.loss_cls: 0.8019, decode.d1.loss_mask: 0.7946, decode.d1.loss_dice: 1.2507, decode.d2.loss_cls: 0.7544, decode.d2.loss_mask: 0.7782, decode.d2.loss_dice: 1.2042, decode.d3.loss_cls: 0.7458, decode.d3.loss_mask: 0.7681, decode.d3.loss_dice: 1.1782, decode.d4.loss_cls: 0.7406, decode.d4.loss_mask: 0.7640, decode.d4.loss_dice: 1.1717, decode.d5.loss_cls: 0.7376, decode.d5.loss_mask: 0.7604, decode.d5.loss_dice: 1.1691, decode.d6.loss_cls: 0.7418, decode.d6.loss_mask: 0.7561, decode.d6.loss_dice: 1.1517, decode.d7.loss_cls: 0.7406, decode.d7.loss_mask: 0.7547, decode.d7.loss_dice: 1.1514, decode.d8.loss_cls: 0.7347, decode.d8.loss_mask: 0.7574, decode.d8.loss_dice: 1.1529, loss: 28.7497 2022-09-13 18:54:28,043 - mmseg - INFO - Iter [72300/80000] lr: 1.382e-07, eta: 4:08:30, time: 1.879, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7273, decode.loss_mask: 0.7348, decode.loss_dice: 1.1530, decode.d0.loss_cls: 2.4077, decode.d0.loss_mask: 0.7706, decode.d0.loss_dice: 1.3414, decode.d1.loss_cls: 0.8005, decode.d1.loss_mask: 0.7756, decode.d1.loss_dice: 1.2530, decode.d2.loss_cls: 0.7582, decode.d2.loss_mask: 0.7540, decode.d2.loss_dice: 1.2042, decode.d3.loss_cls: 0.7486, decode.d3.loss_mask: 0.7472, decode.d3.loss_dice: 1.1771, decode.d4.loss_cls: 0.7412, decode.d4.loss_mask: 0.7411, decode.d4.loss_dice: 1.1750, decode.d5.loss_cls: 0.7393, decode.d5.loss_mask: 0.7410, decode.d5.loss_dice: 1.1628, decode.d6.loss_cls: 0.7333, decode.d6.loss_mask: 0.7365, decode.d6.loss_dice: 1.1546, decode.d7.loss_cls: 0.7313, decode.d7.loss_mask: 0.7363, decode.d7.loss_dice: 1.1618, decode.d8.loss_cls: 0.7314, decode.d8.loss_mask: 0.7362, decode.d8.loss_dice: 1.1570, loss: 28.5319 2022-09-13 18:56:02,718 - mmseg - INFO - Iter [72350/80000] lr: 1.373e-07, eta: 4:06:53, time: 1.894, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7363, decode.loss_mask: 0.7291, decode.loss_dice: 1.1355, decode.d0.loss_cls: 2.4652, decode.d0.loss_mask: 0.7613, decode.d0.loss_dice: 1.3224, decode.d1.loss_cls: 0.8216, decode.d1.loss_mask: 0.7691, decode.d1.loss_dice: 1.2440, decode.d2.loss_cls: 0.7687, decode.d2.loss_mask: 0.7500, decode.d2.loss_dice: 1.1776, decode.d3.loss_cls: 0.7593, decode.d3.loss_mask: 0.7395, decode.d3.loss_dice: 1.1535, decode.d4.loss_cls: 0.7599, decode.d4.loss_mask: 0.7361, decode.d4.loss_dice: 1.1520, decode.d5.loss_cls: 0.7431, decode.d5.loss_mask: 0.7396, decode.d5.loss_dice: 1.1427, decode.d6.loss_cls: 0.7354, decode.d6.loss_mask: 0.7351, decode.d6.loss_dice: 1.1360, decode.d7.loss_cls: 0.7374, decode.d7.loss_mask: 0.7324, decode.d7.loss_dice: 1.1331, decode.d8.loss_cls: 0.7357, decode.d8.loss_mask: 0.7311, decode.d8.loss_dice: 1.1315, loss: 28.4144 2022-09-13 18:57:37,463 - mmseg - INFO - Iter [72400/80000] lr: 1.364e-07, eta: 4:05:15, time: 1.895, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7081, decode.loss_mask: 0.7221, decode.loss_dice: 1.1216, decode.d0.loss_cls: 2.4375, decode.d0.loss_mask: 0.7521, decode.d0.loss_dice: 1.2984, decode.d1.loss_cls: 0.7838, decode.d1.loss_mask: 0.7593, decode.d1.loss_dice: 1.2196, decode.d2.loss_cls: 0.7351, decode.d2.loss_mask: 0.7418, decode.d2.loss_dice: 1.1736, decode.d3.loss_cls: 0.7238, decode.d3.loss_mask: 0.7342, decode.d3.loss_dice: 1.1457, decode.d4.loss_cls: 0.7176, decode.d4.loss_mask: 0.7312, decode.d4.loss_dice: 1.1435, decode.d5.loss_cls: 0.7102, decode.d5.loss_mask: 0.7287, decode.d5.loss_dice: 1.1335, decode.d6.loss_cls: 0.7043, decode.d6.loss_mask: 0.7253, decode.d6.loss_dice: 1.1257, decode.d7.loss_cls: 0.7051, decode.d7.loss_mask: 0.7256, decode.d7.loss_dice: 1.1274, decode.d8.loss_cls: 0.7082, decode.d8.loss_mask: 0.7222, decode.d8.loss_dice: 1.1231, loss: 27.8886 2022-09-13 18:59:10,977 - mmseg - INFO - Iter [72450/80000] lr: 1.355e-07, eta: 4:03:38, time: 1.870, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7243, decode.loss_mask: 0.7391, decode.loss_dice: 1.1316, decode.d0.loss_cls: 2.4541, decode.d0.loss_mask: 0.7722, decode.d0.loss_dice: 1.3309, decode.d1.loss_cls: 0.8140, decode.d1.loss_mask: 0.7758, decode.d1.loss_dice: 1.2332, decode.d2.loss_cls: 0.7544, decode.d2.loss_mask: 0.7589, decode.d2.loss_dice: 1.1850, decode.d3.loss_cls: 0.7438, decode.d3.loss_mask: 0.7498, decode.d3.loss_dice: 1.1614, decode.d4.loss_cls: 0.7374, decode.d4.loss_mask: 0.7456, decode.d4.loss_dice: 1.1560, decode.d5.loss_cls: 0.7303, decode.d5.loss_mask: 0.7464, decode.d5.loss_dice: 1.1470, decode.d6.loss_cls: 0.7225, decode.d6.loss_mask: 0.7445, decode.d6.loss_dice: 1.1369, decode.d7.loss_cls: 0.7245, decode.d7.loss_mask: 0.7405, decode.d7.loss_dice: 1.1338, decode.d8.loss_cls: 0.7275, decode.d8.loss_mask: 0.7392, decode.d8.loss_dice: 1.1348, loss: 28.3954 2022-09-13 19:00:45,451 - mmseg - INFO - Iter [72500/80000] lr: 1.346e-07, eta: 4:02:01, time: 1.889, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7150, decode.loss_mask: 0.7311, decode.loss_dice: 1.1271, decode.d0.loss_cls: 2.4330, decode.d0.loss_mask: 0.7474, decode.d0.loss_dice: 1.3052, decode.d1.loss_cls: 0.7892, decode.d1.loss_mask: 0.7621, decode.d1.loss_dice: 1.2211, decode.d2.loss_cls: 0.7446, decode.d2.loss_mask: 0.7506, decode.d2.loss_dice: 1.1722, decode.d3.loss_cls: 0.7276, decode.d3.loss_mask: 0.7505, decode.d3.loss_dice: 1.1512, decode.d4.loss_cls: 0.7229, decode.d4.loss_mask: 0.7471, decode.d4.loss_dice: 1.1481, decode.d5.loss_cls: 0.7235, decode.d5.loss_mask: 0.7374, decode.d5.loss_dice: 1.1436, decode.d6.loss_cls: 0.7154, decode.d6.loss_mask: 0.7375, decode.d6.loss_dice: 1.1320, decode.d7.loss_cls: 0.7134, decode.d7.loss_mask: 0.7322, decode.d7.loss_dice: 1.1284, decode.d8.loss_cls: 0.7141, decode.d8.loss_mask: 0.7337, decode.d8.loss_dice: 1.1299, loss: 28.0871 2022-09-13 19:02:19,522 - mmseg - INFO - Iter [72550/80000] lr: 1.337e-07, eta: 4:00:24, time: 1.881, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7228, decode.loss_mask: 0.7329, decode.loss_dice: 1.1381, decode.d0.loss_cls: 2.4039, decode.d0.loss_mask: 0.7530, decode.d0.loss_dice: 1.3143, decode.d1.loss_cls: 0.8015, decode.d1.loss_mask: 0.7690, decode.d1.loss_dice: 1.2307, decode.d2.loss_cls: 0.7484, decode.d2.loss_mask: 0.7496, decode.d2.loss_dice: 1.1776, decode.d3.loss_cls: 0.7355, decode.d3.loss_mask: 0.7462, decode.d3.loss_dice: 1.1568, decode.d4.loss_cls: 0.7288, decode.d4.loss_mask: 0.7445, decode.d4.loss_dice: 1.1552, decode.d5.loss_cls: 0.7235, decode.d5.loss_mask: 0.7437, decode.d5.loss_dice: 1.1521, decode.d6.loss_cls: 0.7202, decode.d6.loss_mask: 0.7377, decode.d6.loss_dice: 1.1410, decode.d7.loss_cls: 0.7175, decode.d7.loss_mask: 0.7385, decode.d7.loss_dice: 1.1397, decode.d8.loss_cls: 0.7210, decode.d8.loss_mask: 0.7323, decode.d8.loss_dice: 1.1386, loss: 28.2145 2022-09-13 19:03:53,930 - mmseg - INFO - Iter [72600/80000] lr: 1.328e-07, eta: 3:58:47, time: 1.888, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7175, decode.loss_mask: 0.7001, decode.loss_dice: 1.1256, decode.d0.loss_cls: 2.4133, decode.d0.loss_mask: 0.7209, decode.d0.loss_dice: 1.3103, decode.d1.loss_cls: 0.7978, decode.d1.loss_mask: 0.7429, decode.d1.loss_dice: 1.2234, decode.d2.loss_cls: 0.7457, decode.d2.loss_mask: 0.7224, decode.d2.loss_dice: 1.1724, decode.d3.loss_cls: 0.7290, decode.d3.loss_mask: 0.7109, decode.d3.loss_dice: 1.1486, decode.d4.loss_cls: 0.7246, decode.d4.loss_mask: 0.7078, decode.d4.loss_dice: 1.1455, decode.d5.loss_cls: 0.7235, decode.d5.loss_mask: 0.7049, decode.d5.loss_dice: 1.1427, decode.d6.loss_cls: 0.7126, decode.d6.loss_mask: 0.7008, decode.d6.loss_dice: 1.1300, decode.d7.loss_cls: 0.7147, decode.d7.loss_mask: 0.7000, decode.d7.loss_dice: 1.1292, decode.d8.loss_cls: 0.7170, decode.d8.loss_mask: 0.7005, decode.d8.loss_dice: 1.1241, loss: 27.7586 2022-09-13 19:05:28,477 - mmseg - INFO - Iter [72650/80000] lr: 1.319e-07, eta: 3:57:10, time: 1.891, data_time: 0.017, memory: 42763, decode.loss_cls: 0.7392, decode.loss_mask: 0.7435, decode.loss_dice: 1.1245, decode.d0.loss_cls: 2.4251, decode.d0.loss_mask: 0.7774, decode.d0.loss_dice: 1.3125, decode.d1.loss_cls: 0.8125, decode.d1.loss_mask: 0.7866, decode.d1.loss_dice: 1.2358, decode.d2.loss_cls: 0.7708, decode.d2.loss_mask: 0.7672, decode.d2.loss_dice: 1.1796, decode.d3.loss_cls: 0.7555, decode.d3.loss_mask: 0.7587, decode.d3.loss_dice: 1.1576, decode.d4.loss_cls: 0.7443, decode.d4.loss_mask: 0.7589, decode.d4.loss_dice: 1.1522, decode.d5.loss_cls: 0.7470, decode.d5.loss_mask: 0.7521, decode.d5.loss_dice: 1.1422, decode.d6.loss_cls: 0.7420, decode.d6.loss_mask: 0.7501, decode.d6.loss_dice: 1.1331, decode.d7.loss_cls: 0.7439, decode.d7.loss_mask: 0.7463, decode.d7.loss_dice: 1.1236, decode.d8.loss_cls: 0.7410, decode.d8.loss_mask: 0.7457, decode.d8.loss_dice: 1.1249, loss: 28.4939 2022-09-13 19:07:02,748 - mmseg - INFO - Iter [72700/80000] lr: 1.310e-07, eta: 3:55:33, time: 1.885, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7304, decode.loss_mask: 0.7374, decode.loss_dice: 1.1634, decode.d0.loss_cls: 2.4826, decode.d0.loss_mask: 0.7579, decode.d0.loss_dice: 1.3467, decode.d1.loss_cls: 0.8106, decode.d1.loss_mask: 0.7682, decode.d1.loss_dice: 1.2619, decode.d2.loss_cls: 0.7624, decode.d2.loss_mask: 0.7517, decode.d2.loss_dice: 1.2041, decode.d3.loss_cls: 0.7546, decode.d3.loss_mask: 0.7407, decode.d3.loss_dice: 1.1825, decode.d4.loss_cls: 0.7433, decode.d4.loss_mask: 0.7375, decode.d4.loss_dice: 1.1723, decode.d5.loss_cls: 0.7374, decode.d5.loss_mask: 0.7371, decode.d5.loss_dice: 1.1744, decode.d6.loss_cls: 0.7325, decode.d6.loss_mask: 0.7382, decode.d6.loss_dice: 1.1644, decode.d7.loss_cls: 0.7355, decode.d7.loss_mask: 0.7341, decode.d7.loss_dice: 1.1641, decode.d8.loss_cls: 0.7329, decode.d8.loss_mask: 0.7356, decode.d8.loss_dice: 1.1565, loss: 28.6507 2022-09-13 19:08:36,350 - mmseg - INFO - Iter [72750/80000] lr: 1.301e-07, eta: 3:53:56, time: 1.872, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7138, decode.loss_mask: 0.7385, decode.loss_dice: 1.1507, decode.d0.loss_cls: 2.4475, decode.d0.loss_mask: 0.7534, decode.d0.loss_dice: 1.3217, decode.d1.loss_cls: 0.8095, decode.d1.loss_mask: 0.7665, decode.d1.loss_dice: 1.2484, decode.d2.loss_cls: 0.7518, decode.d2.loss_mask: 0.7536, decode.d2.loss_dice: 1.2077, decode.d3.loss_cls: 0.7443, decode.d3.loss_mask: 0.7450, decode.d3.loss_dice: 1.1745, decode.d4.loss_cls: 0.7322, decode.d4.loss_mask: 0.7410, decode.d4.loss_dice: 1.1757, decode.d5.loss_cls: 0.7285, decode.d5.loss_mask: 0.7392, decode.d5.loss_dice: 1.1582, decode.d6.loss_cls: 0.7202, decode.d6.loss_mask: 0.7390, decode.d6.loss_dice: 1.1535, decode.d7.loss_cls: 0.7169, decode.d7.loss_mask: 0.7386, decode.d7.loss_dice: 1.1591, decode.d8.loss_cls: 0.7160, decode.d8.loss_mask: 0.7380, decode.d8.loss_dice: 1.1555, loss: 28.4382 2022-09-13 19:10:10,332 - mmseg - INFO - Iter [72800/80000] lr: 1.292e-07, eta: 3:52:19, time: 1.880, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7147, decode.loss_mask: 0.7405, decode.loss_dice: 1.1518, decode.d0.loss_cls: 2.4000, decode.d0.loss_mask: 0.7649, decode.d0.loss_dice: 1.3299, decode.d1.loss_cls: 0.8114, decode.d1.loss_mask: 0.7727, decode.d1.loss_dice: 1.2437, decode.d2.loss_cls: 0.7495, decode.d2.loss_mask: 0.7625, decode.d2.loss_dice: 1.1988, decode.d3.loss_cls: 0.7424, decode.d3.loss_mask: 0.7526, decode.d3.loss_dice: 1.1710, decode.d4.loss_cls: 0.7323, decode.d4.loss_mask: 0.7493, decode.d4.loss_dice: 1.1664, decode.d5.loss_cls: 0.7233, decode.d5.loss_mask: 0.7453, decode.d5.loss_dice: 1.1613, decode.d6.loss_cls: 0.7225, decode.d6.loss_mask: 0.7392, decode.d6.loss_dice: 1.1526, decode.d7.loss_cls: 0.7161, decode.d7.loss_mask: 0.7426, decode.d7.loss_dice: 1.1492, decode.d8.loss_cls: 0.7215, decode.d8.loss_mask: 0.7376, decode.d8.loss_dice: 1.1488, loss: 28.4145 2022-09-13 19:11:43,541 - mmseg - INFO - Iter [72850/80000] lr: 1.283e-07, eta: 3:50:42, time: 1.864, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7167, decode.loss_mask: 0.7382, decode.loss_dice: 1.1263, decode.d0.loss_cls: 2.4327, decode.d0.loss_mask: 0.7609, decode.d0.loss_dice: 1.3131, decode.d1.loss_cls: 0.7923, decode.d1.loss_mask: 0.7763, decode.d1.loss_dice: 1.2316, decode.d2.loss_cls: 0.7519, decode.d2.loss_mask: 0.7621, decode.d2.loss_dice: 1.1784, decode.d3.loss_cls: 0.7380, decode.d3.loss_mask: 0.7516, decode.d3.loss_dice: 1.1599, decode.d4.loss_cls: 0.7264, decode.d4.loss_mask: 0.7486, decode.d4.loss_dice: 1.1551, decode.d5.loss_cls: 0.7211, decode.d5.loss_mask: 0.7456, decode.d5.loss_dice: 1.1438, decode.d6.loss_cls: 0.7155, decode.d6.loss_mask: 0.7425, decode.d6.loss_dice: 1.1316, decode.d7.loss_cls: 0.7132, decode.d7.loss_mask: 0.7444, decode.d7.loss_dice: 1.1346, decode.d8.loss_cls: 0.7141, decode.d8.loss_mask: 0.7451, decode.d8.loss_dice: 1.1347, loss: 28.2463 2022-09-13 19:13:17,374 - mmseg - INFO - Iter [72900/80000] lr: 1.274e-07, eta: 3:49:05, time: 1.877, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7254, decode.loss_mask: 0.7360, decode.loss_dice: 1.1485, decode.d0.loss_cls: 2.4834, decode.d0.loss_mask: 0.7537, decode.d0.loss_dice: 1.3253, decode.d1.loss_cls: 0.8141, decode.d1.loss_mask: 0.7623, decode.d1.loss_dice: 1.2396, decode.d2.loss_cls: 0.7640, decode.d2.loss_mask: 0.7488, decode.d2.loss_dice: 1.1826, decode.d3.loss_cls: 0.7437, decode.d3.loss_mask: 0.7406, decode.d3.loss_dice: 1.1656, decode.d4.loss_cls: 0.7375, decode.d4.loss_mask: 0.7378, decode.d4.loss_dice: 1.1653, decode.d5.loss_cls: 0.7284, decode.d5.loss_mask: 0.7360, decode.d5.loss_dice: 1.1565, decode.d6.loss_cls: 0.7232, decode.d6.loss_mask: 0.7380, decode.d6.loss_dice: 1.1546, decode.d7.loss_cls: 0.7266, decode.d7.loss_mask: 0.7326, decode.d7.loss_dice: 1.1498, decode.d8.loss_cls: 0.7244, decode.d8.loss_mask: 0.7382, decode.d8.loss_dice: 1.1463, loss: 28.4289 2022-09-13 19:14:50,715 - mmseg - INFO - Iter [72950/80000] lr: 1.265e-07, eta: 3:47:27, time: 1.867, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7005, decode.loss_mask: 0.7539, decode.loss_dice: 1.1329, decode.d0.loss_cls: 2.3892, decode.d0.loss_mask: 0.7813, decode.d0.loss_dice: 1.3151, decode.d1.loss_cls: 0.7790, decode.d1.loss_mask: 0.7868, decode.d1.loss_dice: 1.2301, decode.d2.loss_cls: 0.7309, decode.d2.loss_mask: 0.7723, decode.d2.loss_dice: 1.1767, decode.d3.loss_cls: 0.7202, decode.d3.loss_mask: 0.7652, decode.d3.loss_dice: 1.1581, decode.d4.loss_cls: 0.7121, decode.d4.loss_mask: 0.7628, decode.d4.loss_dice: 1.1461, decode.d5.loss_cls: 0.7067, decode.d5.loss_mask: 0.7621, decode.d5.loss_dice: 1.1466, decode.d6.loss_cls: 0.7009, decode.d6.loss_mask: 0.7610, decode.d6.loss_dice: 1.1413, decode.d7.loss_cls: 0.6982, decode.d7.loss_mask: 0.7595, decode.d7.loss_dice: 1.1369, decode.d8.loss_cls: 0.6990, decode.d8.loss_mask: 0.7568, decode.d8.loss_dice: 1.1334, loss: 28.2160 2022-09-13 19:16:24,480 - mmseg - INFO - Saving checkpoint at 73000 iterations 2022-09-13 19:16:58,304 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 19:16:58,312 - mmseg - INFO - Iter [73000/80000] lr: 1.257e-07, eta: 3:45:54, time: 2.550, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7092, decode.loss_mask: 0.7319, decode.loss_dice: 1.1536, decode.d0.loss_cls: 2.4417, decode.d0.loss_mask: 0.7512, decode.d0.loss_dice: 1.3257, decode.d1.loss_cls: 0.7998, decode.d1.loss_mask: 0.7580, decode.d1.loss_dice: 1.2456, decode.d2.loss_cls: 0.7464, decode.d2.loss_mask: 0.7457, decode.d2.loss_dice: 1.1945, decode.d3.loss_cls: 0.7308, decode.d3.loss_mask: 0.7399, decode.d3.loss_dice: 1.1727, decode.d4.loss_cls: 0.7277, decode.d4.loss_mask: 0.7379, decode.d4.loss_dice: 1.1647, decode.d5.loss_cls: 0.7138, decode.d5.loss_mask: 0.7352, decode.d5.loss_dice: 1.1583, decode.d6.loss_cls: 0.7065, decode.d6.loss_mask: 0.7337, decode.d6.loss_dice: 1.1551, decode.d7.loss_cls: 0.7143, decode.d7.loss_mask: 0.7319, decode.d7.loss_dice: 1.1523, decode.d8.loss_cls: 0.7044, decode.d8.loss_mask: 0.7335, decode.d8.loss_dice: 1.1532, loss: 28.2693 2022-09-13 19:18:32,850 - mmseg - INFO - Iter [73050/80000] lr: 1.248e-07, eta: 3:44:17, time: 1.893, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7270, decode.loss_mask: 0.7577, decode.loss_dice: 1.1505, decode.d0.loss_cls: 2.4481, decode.d0.loss_mask: 0.7875, decode.d0.loss_dice: 1.3317, decode.d1.loss_cls: 0.7971, decode.d1.loss_mask: 0.7967, decode.d1.loss_dice: 1.2475, decode.d2.loss_cls: 0.7532, decode.d2.loss_mask: 0.7750, decode.d2.loss_dice: 1.1964, decode.d3.loss_cls: 0.7464, decode.d3.loss_mask: 0.7731, decode.d3.loss_dice: 1.1759, decode.d4.loss_cls: 0.7352, decode.d4.loss_mask: 0.7661, decode.d4.loss_dice: 1.1648, decode.d5.loss_cls: 0.7330, decode.d5.loss_mask: 0.7608, decode.d5.loss_dice: 1.1624, decode.d6.loss_cls: 0.7335, decode.d6.loss_mask: 0.7578, decode.d6.loss_dice: 1.1565, decode.d7.loss_cls: 0.7300, decode.d7.loss_mask: 0.7545, decode.d7.loss_dice: 1.1500, decode.d8.loss_cls: 0.7275, decode.d8.loss_mask: 0.7554, decode.d8.loss_dice: 1.1458, loss: 28.6969 2022-09-13 19:20:08,644 - mmseg - INFO - Iter [73100/80000] lr: 1.239e-07, eta: 3:42:40, time: 1.916, data_time: 0.014, memory: 42763, decode.loss_cls: 0.6993, decode.loss_mask: 0.7507, decode.loss_dice: 1.1350, decode.d0.loss_cls: 2.3925, decode.d0.loss_mask: 0.7765, decode.d0.loss_dice: 1.3174, decode.d1.loss_cls: 0.7841, decode.d1.loss_mask: 0.7838, decode.d1.loss_dice: 1.2246, decode.d2.loss_cls: 0.7349, decode.d2.loss_mask: 0.7686, decode.d2.loss_dice: 1.1763, decode.d3.loss_cls: 0.7207, decode.d3.loss_mask: 0.7596, decode.d3.loss_dice: 1.1634, decode.d4.loss_cls: 0.7154, decode.d4.loss_mask: 0.7566, decode.d4.loss_dice: 1.1517, decode.d5.loss_cls: 0.7097, decode.d5.loss_mask: 0.7542, decode.d5.loss_dice: 1.1482, decode.d6.loss_cls: 0.7064, decode.d6.loss_mask: 0.7480, decode.d6.loss_dice: 1.1363, decode.d7.loss_cls: 0.7035, decode.d7.loss_mask: 0.7492, decode.d7.loss_dice: 1.1379, decode.d8.loss_cls: 0.7017, decode.d8.loss_mask: 0.7488, decode.d8.loss_dice: 1.1299, loss: 28.1850 2022-09-13 19:21:43,482 - mmseg - INFO - Iter [73150/80000] lr: 1.230e-07, eta: 3:41:03, time: 1.897, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7336, decode.loss_mask: 0.7391, decode.loss_dice: 1.1467, decode.d0.loss_cls: 2.4506, decode.d0.loss_mask: 0.7679, decode.d0.loss_dice: 1.3267, decode.d1.loss_cls: 0.8257, decode.d1.loss_mask: 0.7717, decode.d1.loss_dice: 1.2484, decode.d2.loss_cls: 0.7698, decode.d2.loss_mask: 0.7570, decode.d2.loss_dice: 1.1970, decode.d3.loss_cls: 0.7560, decode.d3.loss_mask: 0.7542, decode.d3.loss_dice: 1.1717, decode.d4.loss_cls: 0.7492, decode.d4.loss_mask: 0.7477, decode.d4.loss_dice: 1.1668, decode.d5.loss_cls: 0.7482, decode.d5.loss_mask: 0.7461, decode.d5.loss_dice: 1.1608, decode.d6.loss_cls: 0.7344, decode.d6.loss_mask: 0.7411, decode.d6.loss_dice: 1.1487, decode.d7.loss_cls: 0.7330, decode.d7.loss_mask: 0.7385, decode.d7.loss_dice: 1.1526, decode.d8.loss_cls: 0.7306, decode.d8.loss_mask: 0.7412, decode.d8.loss_dice: 1.1539, loss: 28.6089 2022-09-13 19:23:16,866 - mmseg - INFO - Iter [73200/80000] lr: 1.221e-07, eta: 3:39:26, time: 1.868, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7406, decode.loss_mask: 0.7245, decode.loss_dice: 1.1805, decode.d0.loss_cls: 2.4582, decode.d0.loss_mask: 0.7587, decode.d0.loss_dice: 1.3639, decode.d1.loss_cls: 0.8254, decode.d1.loss_mask: 0.7612, decode.d1.loss_dice: 1.2798, decode.d2.loss_cls: 0.7707, decode.d2.loss_mask: 0.7420, decode.d2.loss_dice: 1.2329, decode.d3.loss_cls: 0.7621, decode.d3.loss_mask: 0.7350, decode.d3.loss_dice: 1.2011, decode.d4.loss_cls: 0.7554, decode.d4.loss_mask: 0.7279, decode.d4.loss_dice: 1.1988, decode.d5.loss_cls: 0.7453, decode.d5.loss_mask: 0.7287, decode.d5.loss_dice: 1.1934, decode.d6.loss_cls: 0.7393, decode.d6.loss_mask: 0.7272, decode.d6.loss_dice: 1.1839, decode.d7.loss_cls: 0.7430, decode.d7.loss_mask: 0.7246, decode.d7.loss_dice: 1.1866, decode.d8.loss_cls: 0.7363, decode.d8.loss_mask: 0.7245, decode.d8.loss_dice: 1.1826, loss: 28.8340 2022-09-13 19:24:49,521 - mmseg - INFO - Iter [73250/80000] lr: 1.212e-07, eta: 3:37:48, time: 1.853, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7044, decode.loss_mask: 0.7606, decode.loss_dice: 1.1161, decode.d0.loss_cls: 2.3804, decode.d0.loss_mask: 0.7923, decode.d0.loss_dice: 1.3026, decode.d1.loss_cls: 0.7820, decode.d1.loss_mask: 0.7902, decode.d1.loss_dice: 1.2127, decode.d2.loss_cls: 0.7363, decode.d2.loss_mask: 0.7731, decode.d2.loss_dice: 1.1576, decode.d3.loss_cls: 0.7253, decode.d3.loss_mask: 0.7657, decode.d3.loss_dice: 1.1314, decode.d4.loss_cls: 0.7166, decode.d4.loss_mask: 0.7615, decode.d4.loss_dice: 1.1323, decode.d5.loss_cls: 0.7170, decode.d5.loss_mask: 0.7621, decode.d5.loss_dice: 1.1272, decode.d6.loss_cls: 0.7152, decode.d6.loss_mask: 0.7599, decode.d6.loss_dice: 1.1199, decode.d7.loss_cls: 0.7051, decode.d7.loss_mask: 0.7610, decode.d7.loss_dice: 1.1184, decode.d8.loss_cls: 0.7054, decode.d8.loss_mask: 0.7606, decode.d8.loss_dice: 1.1207, loss: 28.1136 2022-09-13 19:26:23,814 - mmseg - INFO - Iter [73300/80000] lr: 1.203e-07, eta: 3:36:11, time: 1.886, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7122, decode.loss_mask: 0.7359, decode.loss_dice: 1.1197, decode.d0.loss_cls: 2.3916, decode.d0.loss_mask: 0.7670, decode.d0.loss_dice: 1.3107, decode.d1.loss_cls: 0.7915, decode.d1.loss_mask: 0.7720, decode.d1.loss_dice: 1.2273, decode.d2.loss_cls: 0.7366, decode.d2.loss_mask: 0.7590, decode.d2.loss_dice: 1.1723, decode.d3.loss_cls: 0.7260, decode.d3.loss_mask: 0.7480, decode.d3.loss_dice: 1.1455, decode.d4.loss_cls: 0.7162, decode.d4.loss_mask: 0.7488, decode.d4.loss_dice: 1.1445, decode.d5.loss_cls: 0.7164, decode.d5.loss_mask: 0.7447, decode.d5.loss_dice: 1.1331, decode.d6.loss_cls: 0.7136, decode.d6.loss_mask: 0.7383, decode.d6.loss_dice: 1.1262, decode.d7.loss_cls: 0.7124, decode.d7.loss_mask: 0.7376, decode.d7.loss_dice: 1.1246, decode.d8.loss_cls: 0.7069, decode.d8.loss_mask: 0.7397, decode.d8.loss_dice: 1.1250, loss: 28.0433 2022-09-13 19:27:55,339 - mmseg - INFO - Iter [73350/80000] lr: 1.194e-07, eta: 3:34:34, time: 1.831, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7013, decode.loss_mask: 0.7401, decode.loss_dice: 1.1541, decode.d0.loss_cls: 2.4239, decode.d0.loss_mask: 0.7650, decode.d0.loss_dice: 1.3184, decode.d1.loss_cls: 0.7875, decode.d1.loss_mask: 0.7706, decode.d1.loss_dice: 1.2466, decode.d2.loss_cls: 0.7372, decode.d2.loss_mask: 0.7595, decode.d2.loss_dice: 1.1939, decode.d3.loss_cls: 0.7165, decode.d3.loss_mask: 0.7549, decode.d3.loss_dice: 1.1761, decode.d4.loss_cls: 0.7126, decode.d4.loss_mask: 0.7488, decode.d4.loss_dice: 1.1742, decode.d5.loss_cls: 0.7078, decode.d5.loss_mask: 0.7452, decode.d5.loss_dice: 1.1638, decode.d6.loss_cls: 0.7123, decode.d6.loss_mask: 0.7408, decode.d6.loss_dice: 1.1525, decode.d7.loss_cls: 0.7054, decode.d7.loss_mask: 0.7409, decode.d7.loss_dice: 1.1519, decode.d8.loss_cls: 0.7028, decode.d8.loss_mask: 0.7427, decode.d8.loss_dice: 1.1577, loss: 28.3051 2022-09-13 19:29:28,720 - mmseg - INFO - Iter [73400/80000] lr: 1.185e-07, eta: 3:32:57, time: 1.866, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7472, decode.loss_mask: 0.7541, decode.loss_dice: 1.1835, decode.d0.loss_cls: 2.4667, decode.d0.loss_mask: 0.7832, decode.d0.loss_dice: 1.3709, decode.d1.loss_cls: 0.8331, decode.d1.loss_mask: 0.7812, decode.d1.loss_dice: 1.2744, decode.d2.loss_cls: 0.7799, decode.d2.loss_mask: 0.7637, decode.d2.loss_dice: 1.2231, decode.d3.loss_cls: 0.7684, decode.d3.loss_mask: 0.7602, decode.d3.loss_dice: 1.2009, decode.d4.loss_cls: 0.7572, decode.d4.loss_mask: 0.7575, decode.d4.loss_dice: 1.1928, decode.d5.loss_cls: 0.7485, decode.d5.loss_mask: 0.7555, decode.d5.loss_dice: 1.1910, decode.d6.loss_cls: 0.7434, decode.d6.loss_mask: 0.7515, decode.d6.loss_dice: 1.1838, decode.d7.loss_cls: 0.7420, decode.d7.loss_mask: 0.7497, decode.d7.loss_dice: 1.1864, decode.d8.loss_cls: 0.7390, decode.d8.loss_mask: 0.7524, decode.d8.loss_dice: 1.1837, loss: 29.1250 2022-09-13 19:31:02,579 - mmseg - INFO - Iter [73450/80000] lr: 1.176e-07, eta: 3:31:20, time: 1.879, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7205, decode.loss_mask: 0.7572, decode.loss_dice: 1.1345, decode.d0.loss_cls: 2.4080, decode.d0.loss_mask: 0.7840, decode.d0.loss_dice: 1.3234, decode.d1.loss_cls: 0.7992, decode.d1.loss_mask: 0.7922, decode.d1.loss_dice: 1.2215, decode.d2.loss_cls: 0.7567, decode.d2.loss_mask: 0.7754, decode.d2.loss_dice: 1.1730, decode.d3.loss_cls: 0.7394, decode.d3.loss_mask: 0.7683, decode.d3.loss_dice: 1.1540, decode.d4.loss_cls: 0.7363, decode.d4.loss_mask: 0.7634, decode.d4.loss_dice: 1.1486, decode.d5.loss_cls: 0.7213, decode.d5.loss_mask: 0.7633, decode.d5.loss_dice: 1.1461, decode.d6.loss_cls: 0.7269, decode.d6.loss_mask: 0.7570, decode.d6.loss_dice: 1.1274, decode.d7.loss_cls: 0.7239, decode.d7.loss_mask: 0.7548, decode.d7.loss_dice: 1.1346, decode.d8.loss_cls: 0.7201, decode.d8.loss_mask: 0.7561, decode.d8.loss_dice: 1.1306, loss: 28.4177 2022-09-13 19:32:36,308 - mmseg - INFO - Iter [73500/80000] lr: 1.167e-07, eta: 3:29:43, time: 1.875, data_time: 0.020, memory: 42763, decode.loss_cls: 0.7252, decode.loss_mask: 0.7406, decode.loss_dice: 1.1411, decode.d0.loss_cls: 2.4296, decode.d0.loss_mask: 0.7688, decode.d0.loss_dice: 1.3146, decode.d1.loss_cls: 0.8017, decode.d1.loss_mask: 0.7762, decode.d1.loss_dice: 1.2329, decode.d2.loss_cls: 0.7529, decode.d2.loss_mask: 0.7588, decode.d2.loss_dice: 1.1842, decode.d3.loss_cls: 0.7448, decode.d3.loss_mask: 0.7522, decode.d3.loss_dice: 1.1640, decode.d4.loss_cls: 0.7383, decode.d4.loss_mask: 0.7494, decode.d4.loss_dice: 1.1571, decode.d5.loss_cls: 0.7242, decode.d5.loss_mask: 0.7489, decode.d5.loss_dice: 1.1535, decode.d6.loss_cls: 0.7270, decode.d6.loss_mask: 0.7484, decode.d6.loss_dice: 1.1450, decode.d7.loss_cls: 0.7277, decode.d7.loss_mask: 0.7426, decode.d7.loss_dice: 1.1417, decode.d8.loss_cls: 0.7207, decode.d8.loss_mask: 0.7436, decode.d8.loss_dice: 1.1425, loss: 28.3978 2022-09-13 19:34:10,267 - mmseg - INFO - Iter [73550/80000] lr: 1.158e-07, eta: 3:28:06, time: 1.879, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7436, decode.loss_mask: 0.7171, decode.loss_dice: 1.1393, decode.d0.loss_cls: 2.4877, decode.d0.loss_mask: 0.7367, decode.d0.loss_dice: 1.3296, decode.d1.loss_cls: 0.8237, decode.d1.loss_mask: 0.7488, decode.d1.loss_dice: 1.2453, decode.d2.loss_cls: 0.7733, decode.d2.loss_mask: 0.7357, decode.d2.loss_dice: 1.1943, decode.d3.loss_cls: 0.7524, decode.d3.loss_mask: 0.7271, decode.d3.loss_dice: 1.1618, decode.d4.loss_cls: 0.7470, decode.d4.loss_mask: 0.7265, decode.d4.loss_dice: 1.1544, decode.d5.loss_cls: 0.7392, decode.d5.loss_mask: 0.7229, decode.d5.loss_dice: 1.1563, decode.d6.loss_cls: 0.7412, decode.d6.loss_mask: 0.7173, decode.d6.loss_dice: 1.1444, decode.d7.loss_cls: 0.7418, decode.d7.loss_mask: 0.7171, decode.d7.loss_dice: 1.1406, decode.d8.loss_cls: 0.7370, decode.d8.loss_mask: 0.7160, decode.d8.loss_dice: 1.1399, loss: 28.3579 2022-09-13 19:35:45,650 - mmseg - INFO - Iter [73600/80000] lr: 1.149e-07, eta: 3:26:29, time: 1.906, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7182, decode.loss_mask: 0.7244, decode.loss_dice: 1.1244, decode.d0.loss_cls: 2.4293, decode.d0.loss_mask: 0.7497, decode.d0.loss_dice: 1.3150, decode.d1.loss_cls: 0.8078, decode.d1.loss_mask: 0.7569, decode.d1.loss_dice: 1.2177, decode.d2.loss_cls: 0.7542, decode.d2.loss_mask: 0.7350, decode.d2.loss_dice: 1.1636, decode.d3.loss_cls: 0.7447, decode.d3.loss_mask: 0.7298, decode.d3.loss_dice: 1.1381, decode.d4.loss_cls: 0.7329, decode.d4.loss_mask: 0.7282, decode.d4.loss_dice: 1.1317, decode.d5.loss_cls: 0.7234, decode.d5.loss_mask: 0.7301, decode.d5.loss_dice: 1.1340, decode.d6.loss_cls: 0.7237, decode.d6.loss_mask: 0.7256, decode.d6.loss_dice: 1.1222, decode.d7.loss_cls: 0.7194, decode.d7.loss_mask: 0.7220, decode.d7.loss_dice: 1.1266, decode.d8.loss_cls: 0.7193, decode.d8.loss_mask: 0.7231, decode.d8.loss_dice: 1.1233, loss: 27.9940 2022-09-13 19:37:18,722 - mmseg - INFO - Iter [73650/80000] lr: 1.140e-07, eta: 3:24:52, time: 1.864, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7220, decode.loss_mask: 0.7390, decode.loss_dice: 1.1388, decode.d0.loss_cls: 2.4452, decode.d0.loss_mask: 0.7641, decode.d0.loss_dice: 1.3212, decode.d1.loss_cls: 0.8035, decode.d1.loss_mask: 0.7772, decode.d1.loss_dice: 1.2398, decode.d2.loss_cls: 0.7595, decode.d2.loss_mask: 0.7539, decode.d2.loss_dice: 1.1907, decode.d3.loss_cls: 0.7425, decode.d3.loss_mask: 0.7503, decode.d3.loss_dice: 1.1639, decode.d4.loss_cls: 0.7382, decode.d4.loss_mask: 0.7483, decode.d4.loss_dice: 1.1605, decode.d5.loss_cls: 0.7300, decode.d5.loss_mask: 0.7480, decode.d5.loss_dice: 1.1549, decode.d6.loss_cls: 0.7271, decode.d6.loss_mask: 0.7428, decode.d6.loss_dice: 1.1449, decode.d7.loss_cls: 0.7205, decode.d7.loss_mask: 0.7430, decode.d7.loss_dice: 1.1400, decode.d8.loss_cls: 0.7197, decode.d8.loss_mask: 0.7397, decode.d8.loss_dice: 1.1455, loss: 28.4146 2022-09-13 19:38:52,716 - mmseg - INFO - Iter [73700/80000] lr: 1.131e-07, eta: 3:23:15, time: 1.880, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7284, decode.loss_mask: 0.7389, decode.loss_dice: 1.1397, decode.d0.loss_cls: 2.4400, decode.d0.loss_mask: 0.7615, decode.d0.loss_dice: 1.3261, decode.d1.loss_cls: 0.8039, decode.d1.loss_mask: 0.7817, decode.d1.loss_dice: 1.2463, decode.d2.loss_cls: 0.7601, decode.d2.loss_mask: 0.7639, decode.d2.loss_dice: 1.1954, decode.d3.loss_cls: 0.7474, decode.d3.loss_mask: 0.7565, decode.d3.loss_dice: 1.1737, decode.d4.loss_cls: 0.7422, decode.d4.loss_mask: 0.7504, decode.d4.loss_dice: 1.1699, decode.d5.loss_cls: 0.7384, decode.d5.loss_mask: 0.7421, decode.d5.loss_dice: 1.1608, decode.d6.loss_cls: 0.7344, decode.d6.loss_mask: 0.7431, decode.d6.loss_dice: 1.1410, decode.d7.loss_cls: 0.7257, decode.d7.loss_mask: 0.7418, decode.d7.loss_dice: 1.1486, decode.d8.loss_cls: 0.7268, decode.d8.loss_mask: 0.7373, decode.d8.loss_dice: 1.1387, loss: 28.5047 2022-09-13 19:40:25,971 - mmseg - INFO - Iter [73750/80000] lr: 1.122e-07, eta: 3:21:38, time: 1.863, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7488, decode.loss_mask: 0.7548, decode.loss_dice: 1.1337, decode.d0.loss_cls: 2.4277, decode.d0.loss_mask: 0.7748, decode.d0.loss_dice: 1.3245, decode.d1.loss_cls: 0.8343, decode.d1.loss_mask: 0.7837, decode.d1.loss_dice: 1.2251, decode.d2.loss_cls: 0.7826, decode.d2.loss_mask: 0.7691, decode.d2.loss_dice: 1.1796, decode.d3.loss_cls: 0.7676, decode.d3.loss_mask: 0.7616, decode.d3.loss_dice: 1.1555, decode.d4.loss_cls: 0.7567, decode.d4.loss_mask: 0.7608, decode.d4.loss_dice: 1.1546, decode.d5.loss_cls: 0.7549, decode.d5.loss_mask: 0.7553, decode.d5.loss_dice: 1.1494, decode.d6.loss_cls: 0.7489, decode.d6.loss_mask: 0.7561, decode.d6.loss_dice: 1.1395, decode.d7.loss_cls: 0.7482, decode.d7.loss_mask: 0.7544, decode.d7.loss_dice: 1.1375, decode.d8.loss_cls: 0.7438, decode.d8.loss_mask: 0.7599, decode.d8.loss_dice: 1.1385, loss: 28.6818 2022-09-13 19:41:59,933 - mmseg - INFO - Iter [73800/80000] lr: 1.113e-07, eta: 3:20:01, time: 1.881, data_time: 0.017, memory: 42763, decode.loss_cls: 0.6883, decode.loss_mask: 0.7305, decode.loss_dice: 1.1329, decode.d0.loss_cls: 2.3784, decode.d0.loss_mask: 0.7683, decode.d0.loss_dice: 1.3162, decode.d1.loss_cls: 0.7676, decode.d1.loss_mask: 0.7725, decode.d1.loss_dice: 1.2324, decode.d2.loss_cls: 0.7206, decode.d2.loss_mask: 0.7515, decode.d2.loss_dice: 1.1831, decode.d3.loss_cls: 0.7082, decode.d3.loss_mask: 0.7414, decode.d3.loss_dice: 1.1558, decode.d4.loss_cls: 0.6938, decode.d4.loss_mask: 0.7411, decode.d4.loss_dice: 1.1532, decode.d5.loss_cls: 0.6916, decode.d5.loss_mask: 0.7339, decode.d5.loss_dice: 1.1424, decode.d6.loss_cls: 0.6911, decode.d6.loss_mask: 0.7343, decode.d6.loss_dice: 1.1313, decode.d7.loss_cls: 0.6853, decode.d7.loss_mask: 0.7328, decode.d7.loss_dice: 1.1338, decode.d8.loss_cls: 0.6861, decode.d8.loss_mask: 0.7351, decode.d8.loss_dice: 1.1355, loss: 27.8690 2022-09-13 19:43:35,245 - mmseg - INFO - Iter [73850/80000] lr: 1.104e-07, eta: 3:18:24, time: 1.906, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7241, decode.loss_mask: 0.7241, decode.loss_dice: 1.1298, decode.d0.loss_cls: 2.4650, decode.d0.loss_mask: 0.7520, decode.d0.loss_dice: 1.3171, decode.d1.loss_cls: 0.8112, decode.d1.loss_mask: 0.7596, decode.d1.loss_dice: 1.2308, decode.d2.loss_cls: 0.7621, decode.d2.loss_mask: 0.7448, decode.d2.loss_dice: 1.1787, decode.d3.loss_cls: 0.7478, decode.d3.loss_mask: 0.7334, decode.d3.loss_dice: 1.1550, decode.d4.loss_cls: 0.7424, decode.d4.loss_mask: 0.7282, decode.d4.loss_dice: 1.1413, decode.d5.loss_cls: 0.7381, decode.d5.loss_mask: 0.7273, decode.d5.loss_dice: 1.1397, decode.d6.loss_cls: 0.7321, decode.d6.loss_mask: 0.7230, decode.d6.loss_dice: 1.1288, decode.d7.loss_cls: 0.7316, decode.d7.loss_mask: 0.7214, decode.d7.loss_dice: 1.1278, decode.d8.loss_cls: 0.7250, decode.d8.loss_mask: 0.7273, decode.d8.loss_dice: 1.1269, loss: 28.1965 2022-09-13 19:45:10,104 - mmseg - INFO - Iter [73900/80000] lr: 1.095e-07, eta: 3:16:47, time: 1.897, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7541, decode.loss_mask: 0.7323, decode.loss_dice: 1.1483, decode.d0.loss_cls: 2.4747, decode.d0.loss_mask: 0.7697, decode.d0.loss_dice: 1.3423, decode.d1.loss_cls: 0.8374, decode.d1.loss_mask: 0.7737, decode.d1.loss_dice: 1.2597, decode.d2.loss_cls: 0.7814, decode.d2.loss_mask: 0.7574, decode.d2.loss_dice: 1.2088, decode.d3.loss_cls: 0.7706, decode.d3.loss_mask: 0.7456, decode.d3.loss_dice: 1.1807, decode.d4.loss_cls: 0.7663, decode.d4.loss_mask: 0.7398, decode.d4.loss_dice: 1.1735, decode.d5.loss_cls: 0.7588, decode.d5.loss_mask: 0.7395, decode.d5.loss_dice: 1.1674, decode.d6.loss_cls: 0.7575, decode.d6.loss_mask: 0.7350, decode.d6.loss_dice: 1.1614, decode.d7.loss_cls: 0.7525, decode.d7.loss_mask: 0.7342, decode.d7.loss_dice: 1.1557, decode.d8.loss_cls: 0.7464, decode.d8.loss_mask: 0.7343, decode.d8.loss_dice: 1.1552, loss: 28.8142 2022-09-13 19:46:47,124 - mmseg - INFO - Iter [73950/80000] lr: 1.086e-07, eta: 3:15:10, time: 1.940, data_time: 0.063, memory: 42763, decode.loss_cls: 0.7091, decode.loss_mask: 0.7286, decode.loss_dice: 1.1555, decode.d0.loss_cls: 2.4432, decode.d0.loss_mask: 0.7428, decode.d0.loss_dice: 1.3221, decode.d1.loss_cls: 0.7908, decode.d1.loss_mask: 0.7614, decode.d1.loss_dice: 1.2523, decode.d2.loss_cls: 0.7411, decode.d2.loss_mask: 0.7447, decode.d2.loss_dice: 1.1957, decode.d3.loss_cls: 0.7307, decode.d3.loss_mask: 0.7365, decode.d3.loss_dice: 1.1773, decode.d4.loss_cls: 0.7194, decode.d4.loss_mask: 0.7340, decode.d4.loss_dice: 1.1700, decode.d5.loss_cls: 0.7135, decode.d5.loss_mask: 0.7309, decode.d5.loss_dice: 1.1629, decode.d6.loss_cls: 0.7118, decode.d6.loss_mask: 0.7274, decode.d6.loss_dice: 1.1528, decode.d7.loss_cls: 0.7031, decode.d7.loss_mask: 0.7253, decode.d7.loss_dice: 1.1537, decode.d8.loss_cls: 0.7037, decode.d8.loss_mask: 0.7254, decode.d8.loss_dice: 1.1491, loss: 28.2148 2022-09-13 19:48:20,556 - mmseg - INFO - Saving checkpoint at 74000 iterations 2022-09-13 19:48:53,628 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 19:48:53,639 - mmseg - INFO - Iter [74000/80000] lr: 1.077e-07, eta: 3:13:36, time: 2.527, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7473, decode.loss_mask: 0.7174, decode.loss_dice: 1.1369, decode.d0.loss_cls: 2.4713, decode.d0.loss_mask: 0.7445, decode.d0.loss_dice: 1.3233, decode.d1.loss_cls: 0.8244, decode.d1.loss_mask: 0.7550, decode.d1.loss_dice: 1.2251, decode.d2.loss_cls: 0.7798, decode.d2.loss_mask: 0.7393, decode.d2.loss_dice: 1.1754, decode.d3.loss_cls: 0.7641, decode.d3.loss_mask: 0.7313, decode.d3.loss_dice: 1.1569, decode.d4.loss_cls: 0.7639, decode.d4.loss_mask: 0.7255, decode.d4.loss_dice: 1.1473, decode.d5.loss_cls: 0.7516, decode.d5.loss_mask: 0.7244, decode.d5.loss_dice: 1.1465, decode.d6.loss_cls: 0.7553, decode.d6.loss_mask: 0.7233, decode.d6.loss_dice: 1.1377, decode.d7.loss_cls: 0.7456, decode.d7.loss_mask: 0.7241, decode.d7.loss_dice: 1.1376, decode.d8.loss_cls: 0.7481, decode.d8.loss_mask: 0.7189, decode.d8.loss_dice: 1.1380, loss: 28.3800 2022-09-13 19:50:27,130 - mmseg - INFO - Iter [74050/80000] lr: 1.068e-07, eta: 3:11:59, time: 1.872, data_time: 0.018, memory: 42763, decode.loss_cls: 0.7232, decode.loss_mask: 0.7313, decode.loss_dice: 1.1222, decode.d0.loss_cls: 2.4637, decode.d0.loss_mask: 0.7521, decode.d0.loss_dice: 1.2908, decode.d1.loss_cls: 0.8195, decode.d1.loss_mask: 0.7606, decode.d1.loss_dice: 1.2039, decode.d2.loss_cls: 0.7627, decode.d2.loss_mask: 0.7483, decode.d2.loss_dice: 1.1547, decode.d3.loss_cls: 0.7495, decode.d3.loss_mask: 0.7406, decode.d3.loss_dice: 1.1362, decode.d4.loss_cls: 0.7436, decode.d4.loss_mask: 0.7413, decode.d4.loss_dice: 1.1330, decode.d5.loss_cls: 0.7322, decode.d5.loss_mask: 0.7391, decode.d5.loss_dice: 1.1314, decode.d6.loss_cls: 0.7260, decode.d6.loss_mask: 0.7347, decode.d6.loss_dice: 1.1230, decode.d7.loss_cls: 0.7203, decode.d7.loss_mask: 0.7324, decode.d7.loss_dice: 1.1213, decode.d8.loss_cls: 0.7189, decode.d8.loss_mask: 0.7303, decode.d8.loss_dice: 1.1175, loss: 28.1042 2022-09-13 19:52:00,638 - mmseg - INFO - Iter [74100/80000] lr: 1.059e-07, eta: 3:10:21, time: 1.870, data_time: 0.015, memory: 42763, decode.loss_cls: 0.6916, decode.loss_mask: 0.7051, decode.loss_dice: 1.1159, decode.d0.loss_cls: 2.4468, decode.d0.loss_mask: 0.7353, decode.d0.loss_dice: 1.3014, decode.d1.loss_cls: 0.7774, decode.d1.loss_mask: 0.7358, decode.d1.loss_dice: 1.2187, decode.d2.loss_cls: 0.7159, decode.d2.loss_mask: 0.7250, decode.d2.loss_dice: 1.1664, decode.d3.loss_cls: 0.7072, decode.d3.loss_mask: 0.7148, decode.d3.loss_dice: 1.1436, decode.d4.loss_cls: 0.6992, decode.d4.loss_mask: 0.7120, decode.d4.loss_dice: 1.1384, decode.d5.loss_cls: 0.6961, decode.d5.loss_mask: 0.7062, decode.d5.loss_dice: 1.1310, decode.d6.loss_cls: 0.6964, decode.d6.loss_mask: 0.7034, decode.d6.loss_dice: 1.1183, decode.d7.loss_cls: 0.6887, decode.d7.loss_mask: 0.7060, decode.d7.loss_dice: 1.1209, decode.d8.loss_cls: 0.6861, decode.d8.loss_mask: 0.7062, decode.d8.loss_dice: 1.1173, loss: 27.5270 2022-09-13 19:53:33,271 - mmseg - INFO - Iter [74150/80000] lr: 1.050e-07, eta: 3:08:44, time: 1.853, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7420, decode.loss_mask: 0.7380, decode.loss_dice: 1.1427, decode.d0.loss_cls: 2.4807, decode.d0.loss_mask: 0.7592, decode.d0.loss_dice: 1.3252, decode.d1.loss_cls: 0.8423, decode.d1.loss_mask: 0.7715, decode.d1.loss_dice: 1.2486, decode.d2.loss_cls: 0.7777, decode.d2.loss_mask: 0.7591, decode.d2.loss_dice: 1.1897, decode.d3.loss_cls: 0.7542, decode.d3.loss_mask: 0.7457, decode.d3.loss_dice: 1.1672, decode.d4.loss_cls: 0.7454, decode.d4.loss_mask: 0.7435, decode.d4.loss_dice: 1.1650, decode.d5.loss_cls: 0.7462, decode.d5.loss_mask: 0.7401, decode.d5.loss_dice: 1.1520, decode.d6.loss_cls: 0.7395, decode.d6.loss_mask: 0.7406, decode.d6.loss_dice: 1.1493, decode.d7.loss_cls: 0.7369, decode.d7.loss_mask: 0.7384, decode.d7.loss_dice: 1.1477, decode.d8.loss_cls: 0.7339, decode.d8.loss_mask: 0.7395, decode.d8.loss_dice: 1.1489, loss: 28.6106 2022-09-13 19:55:07,684 - mmseg - INFO - Iter [74200/80000] lr: 1.041e-07, eta: 3:07:07, time: 1.888, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7205, decode.loss_mask: 0.7083, decode.loss_dice: 1.1323, decode.d0.loss_cls: 2.4467, decode.d0.loss_mask: 0.7304, decode.d0.loss_dice: 1.3223, decode.d1.loss_cls: 0.8038, decode.d1.loss_mask: 0.7428, decode.d1.loss_dice: 1.2352, decode.d2.loss_cls: 0.7466, decode.d2.loss_mask: 0.7313, decode.d2.loss_dice: 1.1788, decode.d3.loss_cls: 0.7338, decode.d3.loss_mask: 0.7208, decode.d3.loss_dice: 1.1579, decode.d4.loss_cls: 0.7302, decode.d4.loss_mask: 0.7140, decode.d4.loss_dice: 1.1495, decode.d5.loss_cls: 0.7221, decode.d5.loss_mask: 0.7120, decode.d5.loss_dice: 1.1441, decode.d6.loss_cls: 0.7264, decode.d6.loss_mask: 0.7066, decode.d6.loss_dice: 1.1306, decode.d7.loss_cls: 0.7196, decode.d7.loss_mask: 0.7034, decode.d7.loss_dice: 1.1309, decode.d8.loss_cls: 0.7151, decode.d8.loss_mask: 0.7045, decode.d8.loss_dice: 1.1292, loss: 27.9496 2022-09-13 19:56:41,224 - mmseg - INFO - Iter [74250/80000] lr: 1.032e-07, eta: 3:05:30, time: 1.871, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7581, decode.loss_mask: 0.7168, decode.loss_dice: 1.1395, decode.d0.loss_cls: 2.4846, decode.d0.loss_mask: 0.7540, decode.d0.loss_dice: 1.3301, decode.d1.loss_cls: 0.8516, decode.d1.loss_mask: 0.7545, decode.d1.loss_dice: 1.2398, decode.d2.loss_cls: 0.7957, decode.d2.loss_mask: 0.7403, decode.d2.loss_dice: 1.1862, decode.d3.loss_cls: 0.7784, decode.d3.loss_mask: 0.7319, decode.d3.loss_dice: 1.1571, decode.d4.loss_cls: 0.7719, decode.d4.loss_mask: 0.7311, decode.d4.loss_dice: 1.1600, decode.d5.loss_cls: 0.7631, decode.d5.loss_mask: 0.7243, decode.d5.loss_dice: 1.1528, decode.d6.loss_cls: 0.7674, decode.d6.loss_mask: 0.7194, decode.d6.loss_dice: 1.1436, decode.d7.loss_cls: 0.7641, decode.d7.loss_mask: 0.7189, decode.d7.loss_dice: 1.1391, decode.d8.loss_cls: 0.7535, decode.d8.loss_mask: 0.7180, decode.d8.loss_dice: 1.1432, loss: 28.5891 2022-09-13 19:58:15,809 - mmseg - INFO - Iter [74300/80000] lr: 1.023e-07, eta: 3:03:53, time: 1.892, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7210, decode.loss_mask: 0.7258, decode.loss_dice: 1.0983, decode.d0.loss_cls: 2.4042, decode.d0.loss_mask: 0.7542, decode.d0.loss_dice: 1.2793, decode.d1.loss_cls: 0.8085, decode.d1.loss_mask: 0.7568, decode.d1.loss_dice: 1.1881, decode.d2.loss_cls: 0.7614, decode.d2.loss_mask: 0.7391, decode.d2.loss_dice: 1.1406, decode.d3.loss_cls: 0.7335, decode.d3.loss_mask: 0.7375, decode.d3.loss_dice: 1.1205, decode.d4.loss_cls: 0.7286, decode.d4.loss_mask: 0.7368, decode.d4.loss_dice: 1.1194, decode.d5.loss_cls: 0.7275, decode.d5.loss_mask: 0.7239, decode.d5.loss_dice: 1.1010, decode.d6.loss_cls: 0.7178, decode.d6.loss_mask: 0.7264, decode.d6.loss_dice: 1.1008, decode.d7.loss_cls: 0.7128, decode.d7.loss_mask: 0.7278, decode.d7.loss_dice: 1.1010, decode.d8.loss_cls: 0.7148, decode.d8.loss_mask: 0.7256, decode.d8.loss_dice: 1.1022, loss: 27.7349 2022-09-13 19:59:50,159 - mmseg - INFO - Iter [74350/80000] lr: 1.014e-07, eta: 3:02:16, time: 1.886, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7140, decode.loss_mask: 0.7163, decode.loss_dice: 1.1062, decode.d0.loss_cls: 2.3990, decode.d0.loss_mask: 0.7328, decode.d0.loss_dice: 1.2688, decode.d1.loss_cls: 0.8042, decode.d1.loss_mask: 0.7447, decode.d1.loss_dice: 1.1881, decode.d2.loss_cls: 0.7470, decode.d2.loss_mask: 0.7363, decode.d2.loss_dice: 1.1471, decode.d3.loss_cls: 0.7309, decode.d3.loss_mask: 0.7243, decode.d3.loss_dice: 1.1255, decode.d4.loss_cls: 0.7246, decode.d4.loss_mask: 0.7223, decode.d4.loss_dice: 1.1216, decode.d5.loss_cls: 0.7181, decode.d5.loss_mask: 0.7175, decode.d5.loss_dice: 1.1135, decode.d6.loss_cls: 0.7200, decode.d6.loss_mask: 0.7138, decode.d6.loss_dice: 1.1054, decode.d7.loss_cls: 0.7165, decode.d7.loss_mask: 0.7137, decode.d7.loss_dice: 1.1032, decode.d8.loss_cls: 0.7186, decode.d8.loss_mask: 0.7116, decode.d8.loss_dice: 1.1033, loss: 27.6090 2022-09-13 20:01:24,941 - mmseg - INFO - Iter [74400/80000] lr: 1.005e-07, eta: 3:00:39, time: 1.896, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7538, decode.loss_mask: 0.7453, decode.loss_dice: 1.1537, decode.d0.loss_cls: 2.4589, decode.d0.loss_mask: 0.7805, decode.d0.loss_dice: 1.3474, decode.d1.loss_cls: 0.8254, decode.d1.loss_mask: 0.7778, decode.d1.loss_dice: 1.2555, decode.d2.loss_cls: 0.7790, decode.d2.loss_mask: 0.7652, decode.d2.loss_dice: 1.2013, decode.d3.loss_cls: 0.7670, decode.d3.loss_mask: 0.7543, decode.d3.loss_dice: 1.1767, decode.d4.loss_cls: 0.7577, decode.d4.loss_mask: 0.7514, decode.d4.loss_dice: 1.1750, decode.d5.loss_cls: 0.7437, decode.d5.loss_mask: 0.7512, decode.d5.loss_dice: 1.1778, decode.d6.loss_cls: 0.7516, decode.d6.loss_mask: 0.7460, decode.d6.loss_dice: 1.1626, decode.d7.loss_cls: 0.7496, decode.d7.loss_mask: 0.7450, decode.d7.loss_dice: 1.1596, decode.d8.loss_cls: 0.7500, decode.d8.loss_mask: 0.7426, decode.d8.loss_dice: 1.1566, loss: 28.8621 2022-09-13 20:02:58,622 - mmseg - INFO - Iter [74450/80000] lr: 9.963e-08, eta: 2:59:02, time: 1.874, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7092, decode.loss_mask: 0.7519, decode.loss_dice: 1.1610, decode.d0.loss_cls: 2.4229, decode.d0.loss_mask: 0.7852, decode.d0.loss_dice: 1.3458, decode.d1.loss_cls: 0.7944, decode.d1.loss_mask: 0.7848, decode.d1.loss_dice: 1.2510, decode.d2.loss_cls: 0.7447, decode.d2.loss_mask: 0.7685, decode.d2.loss_dice: 1.2047, decode.d3.loss_cls: 0.7285, decode.d3.loss_mask: 0.7608, decode.d3.loss_dice: 1.1866, decode.d4.loss_cls: 0.7184, decode.d4.loss_mask: 0.7592, decode.d4.loss_dice: 1.1826, decode.d5.loss_cls: 0.7170, decode.d5.loss_mask: 0.7546, decode.d5.loss_dice: 1.1757, decode.d6.loss_cls: 0.7126, decode.d6.loss_mask: 0.7526, decode.d6.loss_dice: 1.1669, decode.d7.loss_cls: 0.7118, decode.d7.loss_mask: 0.7522, decode.d7.loss_dice: 1.1617, decode.d8.loss_cls: 0.7070, decode.d8.loss_mask: 0.7525, decode.d8.loss_dice: 1.1629, loss: 28.5876 2022-09-13 20:04:32,323 - mmseg - INFO - Iter [74500/80000] lr: 9.873e-08, eta: 2:57:25, time: 1.874, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7503, decode.loss_mask: 0.7309, decode.loss_dice: 1.1392, decode.d0.loss_cls: 2.4768, decode.d0.loss_mask: 0.7538, decode.d0.loss_dice: 1.3260, decode.d1.loss_cls: 0.8398, decode.d1.loss_mask: 0.7662, decode.d1.loss_dice: 1.2347, decode.d2.loss_cls: 0.7856, decode.d2.loss_mask: 0.7512, decode.d2.loss_dice: 1.1930, decode.d3.loss_cls: 0.7735, decode.d3.loss_mask: 0.7428, decode.d3.loss_dice: 1.1672, decode.d4.loss_cls: 0.7590, decode.d4.loss_mask: 0.7389, decode.d4.loss_dice: 1.1592, decode.d5.loss_cls: 0.7581, decode.d5.loss_mask: 0.7353, decode.d5.loss_dice: 1.1575, decode.d6.loss_cls: 0.7479, decode.d6.loss_mask: 0.7346, decode.d6.loss_dice: 1.1478, decode.d7.loss_cls: 0.7424, decode.d7.loss_mask: 0.7344, decode.d7.loss_dice: 1.1505, decode.d8.loss_cls: 0.7446, decode.d8.loss_mask: 0.7352, decode.d8.loss_dice: 1.1484, loss: 28.6246 2022-09-13 20:06:05,845 - mmseg - INFO - Iter [74550/80000] lr: 9.783e-08, eta: 2:55:48, time: 1.870, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7162, decode.loss_mask: 0.7296, decode.loss_dice: 1.1242, decode.d0.loss_cls: 2.4285, decode.d0.loss_mask: 0.7602, decode.d0.loss_dice: 1.3107, decode.d1.loss_cls: 0.7967, decode.d1.loss_mask: 0.7728, decode.d1.loss_dice: 1.2318, decode.d2.loss_cls: 0.7447, decode.d2.loss_mask: 0.7512, decode.d2.loss_dice: 1.1741, decode.d3.loss_cls: 0.7337, decode.d3.loss_mask: 0.7449, decode.d3.loss_dice: 1.1527, decode.d4.loss_cls: 0.7248, decode.d4.loss_mask: 0.7438, decode.d4.loss_dice: 1.1514, decode.d5.loss_cls: 0.7183, decode.d5.loss_mask: 0.7402, decode.d5.loss_dice: 1.1360, decode.d6.loss_cls: 0.7212, decode.d6.loss_mask: 0.7313, decode.d6.loss_dice: 1.1334, decode.d7.loss_cls: 0.7157, decode.d7.loss_mask: 0.7316, decode.d7.loss_dice: 1.1274, decode.d8.loss_cls: 0.7130, decode.d8.loss_mask: 0.7351, decode.d8.loss_dice: 1.1290, loss: 28.1241 2022-09-13 20:07:39,448 - mmseg - INFO - Iter [74600/80000] lr: 9.693e-08, eta: 2:54:11, time: 1.871, data_time: 0.014, memory: 42763, decode.loss_cls: 0.6982, decode.loss_mask: 0.7330, decode.loss_dice: 1.1244, decode.d0.loss_cls: 2.3872, decode.d0.loss_mask: 0.7579, decode.d0.loss_dice: 1.3127, decode.d1.loss_cls: 0.7851, decode.d1.loss_mask: 0.7713, decode.d1.loss_dice: 1.2229, decode.d2.loss_cls: 0.7370, decode.d2.loss_mask: 0.7502, decode.d2.loss_dice: 1.1706, decode.d3.loss_cls: 0.7200, decode.d3.loss_mask: 0.7430, decode.d3.loss_dice: 1.1468, decode.d4.loss_cls: 0.7088, decode.d4.loss_mask: 0.7406, decode.d4.loss_dice: 1.1404, decode.d5.loss_cls: 0.7034, decode.d5.loss_mask: 0.7358, decode.d5.loss_dice: 1.1384, decode.d6.loss_cls: 0.6973, decode.d6.loss_mask: 0.7386, decode.d6.loss_dice: 1.1325, decode.d7.loss_cls: 0.6958, decode.d7.loss_mask: 0.7359, decode.d7.loss_dice: 1.1273, decode.d8.loss_cls: 0.6966, decode.d8.loss_mask: 0.7365, decode.d8.loss_dice: 1.1263, loss: 27.9145 2022-09-13 20:09:13,577 - mmseg - INFO - Iter [74650/80000] lr: 9.604e-08, eta: 2:52:34, time: 1.882, data_time: 0.014, memory: 42763, decode.loss_cls: 0.6990, decode.loss_mask: 0.7696, decode.loss_dice: 1.1210, decode.d0.loss_cls: 2.3770, decode.d0.loss_mask: 0.7931, decode.d0.loss_dice: 1.2866, decode.d1.loss_cls: 0.7742, decode.d1.loss_mask: 0.8060, decode.d1.loss_dice: 1.2110, decode.d2.loss_cls: 0.7221, decode.d2.loss_mask: 0.7902, decode.d2.loss_dice: 1.1660, decode.d3.loss_cls: 0.7137, decode.d3.loss_mask: 0.7792, decode.d3.loss_dice: 1.1410, decode.d4.loss_cls: 0.7059, decode.d4.loss_mask: 0.7815, decode.d4.loss_dice: 1.1389, decode.d5.loss_cls: 0.6981, decode.d5.loss_mask: 0.7780, decode.d5.loss_dice: 1.1305, decode.d6.loss_cls: 0.6974, decode.d6.loss_mask: 0.7735, decode.d6.loss_dice: 1.1214, decode.d7.loss_cls: 0.6998, decode.d7.loss_mask: 0.7693, decode.d7.loss_dice: 1.1200, decode.d8.loss_cls: 0.6938, decode.d8.loss_mask: 0.7726, decode.d8.loss_dice: 1.1207, loss: 28.1509 2022-09-13 20:10:47,071 - mmseg - INFO - Iter [74700/80000] lr: 9.514e-08, eta: 2:50:57, time: 1.871, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7338, decode.loss_mask: 0.7387, decode.loss_dice: 1.1599, decode.d0.loss_cls: 2.4363, decode.d0.loss_mask: 0.7669, decode.d0.loss_dice: 1.3389, decode.d1.loss_cls: 0.8072, decode.d1.loss_mask: 0.7770, decode.d1.loss_dice: 1.2527, decode.d2.loss_cls: 0.7712, decode.d2.loss_mask: 0.7585, decode.d2.loss_dice: 1.2053, decode.d3.loss_cls: 0.7558, decode.d3.loss_mask: 0.7451, decode.d3.loss_dice: 1.1837, decode.d4.loss_cls: 0.7452, decode.d4.loss_mask: 0.7442, decode.d4.loss_dice: 1.1744, decode.d5.loss_cls: 0.7459, decode.d5.loss_mask: 0.7424, decode.d5.loss_dice: 1.1636, decode.d6.loss_cls: 0.7412, decode.d6.loss_mask: 0.7382, decode.d6.loss_dice: 1.1593, decode.d7.loss_cls: 0.7435, decode.d7.loss_mask: 0.7358, decode.d7.loss_dice: 1.1578, decode.d8.loss_cls: 0.7345, decode.d8.loss_mask: 0.7381, decode.d8.loss_dice: 1.1601, loss: 28.6550 2022-09-13 20:12:19,654 - mmseg - INFO - Iter [74750/80000] lr: 9.424e-08, eta: 2:49:20, time: 1.851, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7248, decode.loss_mask: 0.7378, decode.loss_dice: 1.1462, decode.d0.loss_cls: 2.4289, decode.d0.loss_mask: 0.7638, decode.d0.loss_dice: 1.3434, decode.d1.loss_cls: 0.8085, decode.d1.loss_mask: 0.7747, decode.d1.loss_dice: 1.2469, decode.d2.loss_cls: 0.7562, decode.d2.loss_mask: 0.7566, decode.d2.loss_dice: 1.1962, decode.d3.loss_cls: 0.7468, decode.d3.loss_mask: 0.7492, decode.d3.loss_dice: 1.1768, decode.d4.loss_cls: 0.7382, decode.d4.loss_mask: 0.7448, decode.d4.loss_dice: 1.1680, decode.d5.loss_cls: 0.7319, decode.d5.loss_mask: 0.7402, decode.d5.loss_dice: 1.1700, decode.d6.loss_cls: 0.7320, decode.d6.loss_mask: 0.7400, decode.d6.loss_dice: 1.1554, decode.d7.loss_cls: 0.7229, decode.d7.loss_mask: 0.7400, decode.d7.loss_dice: 1.1556, decode.d8.loss_cls: 0.7205, decode.d8.loss_mask: 0.7366, decode.d8.loss_dice: 1.1564, loss: 28.5091 2022-09-13 20:13:51,917 - mmseg - INFO - Iter [74800/80000] lr: 9.334e-08, eta: 2:47:43, time: 1.845, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7248, decode.loss_mask: 0.7377, decode.loss_dice: 1.1478, decode.d0.loss_cls: 2.4447, decode.d0.loss_mask: 0.7669, decode.d0.loss_dice: 1.3334, decode.d1.loss_cls: 0.8125, decode.d1.loss_mask: 0.7813, decode.d1.loss_dice: 1.2420, decode.d2.loss_cls: 0.7579, decode.d2.loss_mask: 0.7583, decode.d2.loss_dice: 1.1867, decode.d3.loss_cls: 0.7381, decode.d3.loss_mask: 0.7496, decode.d3.loss_dice: 1.1698, decode.d4.loss_cls: 0.7294, decode.d4.loss_mask: 0.7481, decode.d4.loss_dice: 1.1628, decode.d5.loss_cls: 0.7262, decode.d5.loss_mask: 0.7445, decode.d5.loss_dice: 1.1612, decode.d6.loss_cls: 0.7250, decode.d6.loss_mask: 0.7441, decode.d6.loss_dice: 1.1511, decode.d7.loss_cls: 0.7219, decode.d7.loss_mask: 0.7423, decode.d7.loss_dice: 1.1505, decode.d8.loss_cls: 0.7198, decode.d8.loss_mask: 0.7425, decode.d8.loss_dice: 1.1479, loss: 28.4688 2022-09-13 20:15:26,018 - mmseg - INFO - Iter [74850/80000] lr: 9.245e-08, eta: 2:46:06, time: 1.883, data_time: 0.014, memory: 42763, decode.loss_cls: 0.6905, decode.loss_mask: 0.7149, decode.loss_dice: 1.1025, decode.d0.loss_cls: 2.4221, decode.d0.loss_mask: 0.7367, decode.d0.loss_dice: 1.2771, decode.d1.loss_cls: 0.7670, decode.d1.loss_mask: 0.7485, decode.d1.loss_dice: 1.1849, decode.d2.loss_cls: 0.7210, decode.d2.loss_mask: 0.7300, decode.d2.loss_dice: 1.1458, decode.d3.loss_cls: 0.7078, decode.d3.loss_mask: 0.7277, decode.d3.loss_dice: 1.1260, decode.d4.loss_cls: 0.7021, decode.d4.loss_mask: 0.7194, decode.d4.loss_dice: 1.1268, decode.d5.loss_cls: 0.6945, decode.d5.loss_mask: 0.7162, decode.d5.loss_dice: 1.1109, decode.d6.loss_cls: 0.6945, decode.d6.loss_mask: 0.7134, decode.d6.loss_dice: 1.1073, decode.d7.loss_cls: 0.6909, decode.d7.loss_mask: 0.7167, decode.d7.loss_dice: 1.1080, decode.d8.loss_cls: 0.6867, decode.d8.loss_mask: 0.7134, decode.d8.loss_dice: 1.1063, loss: 27.4095 2022-09-13 20:17:00,718 - mmseg - INFO - Iter [74900/80000] lr: 9.155e-08, eta: 2:44:29, time: 1.894, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7337, decode.loss_mask: 0.7285, decode.loss_dice: 1.1372, decode.d0.loss_cls: 2.4133, decode.d0.loss_mask: 0.7618, decode.d0.loss_dice: 1.3335, decode.d1.loss_cls: 0.8108, decode.d1.loss_mask: 0.7699, decode.d1.loss_dice: 1.2458, decode.d2.loss_cls: 0.7622, decode.d2.loss_mask: 0.7501, decode.d2.loss_dice: 1.1860, decode.d3.loss_cls: 0.7499, decode.d3.loss_mask: 0.7402, decode.d3.loss_dice: 1.1647, decode.d4.loss_cls: 0.7397, decode.d4.loss_mask: 0.7359, decode.d4.loss_dice: 1.1636, decode.d5.loss_cls: 0.7421, decode.d5.loss_mask: 0.7317, decode.d5.loss_dice: 1.1547, decode.d6.loss_cls: 0.7351, decode.d6.loss_mask: 0.7305, decode.d6.loss_dice: 1.1418, decode.d7.loss_cls: 0.7342, decode.d7.loss_mask: 0.7274, decode.d7.loss_dice: 1.1392, decode.d8.loss_cls: 0.7332, decode.d8.loss_mask: 0.7268, decode.d8.loss_dice: 1.1401, loss: 28.3636 2022-09-13 20:18:33,378 - mmseg - INFO - Iter [74950/80000] lr: 9.065e-08, eta: 2:42:52, time: 1.853, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7638, decode.loss_mask: 0.7155, decode.loss_dice: 1.1391, decode.d0.loss_cls: 2.4896, decode.d0.loss_mask: 0.7419, decode.d0.loss_dice: 1.3464, decode.d1.loss_cls: 0.8503, decode.d1.loss_mask: 0.7470, decode.d1.loss_dice: 1.2513, decode.d2.loss_cls: 0.8044, decode.d2.loss_mask: 0.7358, decode.d2.loss_dice: 1.1992, decode.d3.loss_cls: 0.7878, decode.d3.loss_mask: 0.7287, decode.d3.loss_dice: 1.1663, decode.d4.loss_cls: 0.7749, decode.d4.loss_mask: 0.7249, decode.d4.loss_dice: 1.1653, decode.d5.loss_cls: 0.7696, decode.d5.loss_mask: 0.7228, decode.d5.loss_dice: 1.1542, decode.d6.loss_cls: 0.7676, decode.d6.loss_mask: 0.7138, decode.d6.loss_dice: 1.1439, decode.d7.loss_cls: 0.7608, decode.d7.loss_mask: 0.7179, decode.d7.loss_dice: 1.1436, decode.d8.loss_cls: 0.7619, decode.d8.loss_mask: 0.7143, decode.d8.loss_dice: 1.1420, loss: 28.6446 2022-09-13 20:20:06,754 - mmseg - INFO - Saving checkpoint at 75000 iterations 2022-09-13 20:20:41,480 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 20:20:41,586 - mmseg - INFO - Iter [75000/80000] lr: 8.976e-08, eta: 2:41:18, time: 2.559, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7368, decode.loss_mask: 0.7354, decode.loss_dice: 1.1391, decode.d0.loss_cls: 2.4564, decode.d0.loss_mask: 0.7662, decode.d0.loss_dice: 1.3282, decode.d1.loss_cls: 0.8262, decode.d1.loss_mask: 0.7698, decode.d1.loss_dice: 1.2374, decode.d2.loss_cls: 0.7716, decode.d2.loss_mask: 0.7513, decode.d2.loss_dice: 1.1879, decode.d3.loss_cls: 0.7633, decode.d3.loss_mask: 0.7407, decode.d3.loss_dice: 1.1648, decode.d4.loss_cls: 0.7510, decode.d4.loss_mask: 0.7365, decode.d4.loss_dice: 1.1571, decode.d5.loss_cls: 0.7435, decode.d5.loss_mask: 0.7349, decode.d5.loss_dice: 1.1533, decode.d6.loss_cls: 0.7396, decode.d6.loss_mask: 0.7332, decode.d6.loss_dice: 1.1436, decode.d7.loss_cls: 0.7356, decode.d7.loss_mask: 0.7353, decode.d7.loss_dice: 1.1508, decode.d8.loss_cls: 0.7380, decode.d8.loss_mask: 0.7335, decode.d8.loss_dice: 1.1463, loss: 28.5075 2022-09-13 20:22:14,751 - mmseg - INFO - Iter [75050/80000] lr: 8.886e-08, eta: 2:39:41, time: 1.868, data_time: 0.019, memory: 42763, decode.loss_cls: 0.7082, decode.loss_mask: 0.7211, decode.loss_dice: 1.1073, decode.d0.loss_cls: 2.4215, decode.d0.loss_mask: 0.7454, decode.d0.loss_dice: 1.2893, decode.d1.loss_cls: 0.7851, decode.d1.loss_mask: 0.7542, decode.d1.loss_dice: 1.1958, decode.d2.loss_cls: 0.7385, decode.d2.loss_mask: 0.7377, decode.d2.loss_dice: 1.1437, decode.d3.loss_cls: 0.7338, decode.d3.loss_mask: 0.7338, decode.d3.loss_dice: 1.1235, decode.d4.loss_cls: 0.7241, decode.d4.loss_mask: 0.7258, decode.d4.loss_dice: 1.1190, decode.d5.loss_cls: 0.7155, decode.d5.loss_mask: 0.7241, decode.d5.loss_dice: 1.1133, decode.d6.loss_cls: 0.7133, decode.d6.loss_mask: 0.7223, decode.d6.loss_dice: 1.1023, decode.d7.loss_cls: 0.7093, decode.d7.loss_mask: 0.7190, decode.d7.loss_dice: 1.1001, decode.d8.loss_cls: 0.7119, decode.d8.loss_mask: 0.7196, decode.d8.loss_dice: 1.1032, loss: 27.6616 2022-09-13 20:23:47,993 - mmseg - INFO - Iter [75100/80000] lr: 8.796e-08, eta: 2:38:04, time: 1.865, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7063, decode.loss_mask: 0.7198, decode.loss_dice: 1.1152, decode.d0.loss_cls: 2.4574, decode.d0.loss_mask: 0.7478, decode.d0.loss_dice: 1.2877, decode.d1.loss_cls: 0.7929, decode.d1.loss_mask: 0.7528, decode.d1.loss_dice: 1.2076, decode.d2.loss_cls: 0.7378, decode.d2.loss_mask: 0.7399, decode.d2.loss_dice: 1.1598, decode.d3.loss_cls: 0.7269, decode.d3.loss_mask: 0.7302, decode.d3.loss_dice: 1.1318, decode.d4.loss_cls: 0.7164, decode.d4.loss_mask: 0.7262, decode.d4.loss_dice: 1.1242, decode.d5.loss_cls: 0.7126, decode.d5.loss_mask: 0.7235, decode.d5.loss_dice: 1.1262, decode.d6.loss_cls: 0.7145, decode.d6.loss_mask: 0.7195, decode.d6.loss_dice: 1.1078, decode.d7.loss_cls: 0.7117, decode.d7.loss_mask: 0.7188, decode.d7.loss_dice: 1.1111, decode.d8.loss_cls: 0.7081, decode.d8.loss_mask: 0.7195, decode.d8.loss_dice: 1.1122, loss: 27.7660 2022-09-13 20:25:20,061 - mmseg - INFO - Iter [75150/80000] lr: 8.706e-08, eta: 2:36:27, time: 1.841, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7421, decode.loss_mask: 0.7261, decode.loss_dice: 1.1548, decode.d0.loss_cls: 2.4602, decode.d0.loss_mask: 0.7502, decode.d0.loss_dice: 1.3383, decode.d1.loss_cls: 0.8284, decode.d1.loss_mask: 0.7579, decode.d1.loss_dice: 1.2463, decode.d2.loss_cls: 0.7706, decode.d2.loss_mask: 0.7455, decode.d2.loss_dice: 1.2010, decode.d3.loss_cls: 0.7566, decode.d3.loss_mask: 0.7388, decode.d3.loss_dice: 1.1763, decode.d4.loss_cls: 0.7525, decode.d4.loss_mask: 0.7363, decode.d4.loss_dice: 1.1755, decode.d5.loss_cls: 0.7470, decode.d5.loss_mask: 0.7305, decode.d5.loss_dice: 1.1688, decode.d6.loss_cls: 0.7449, decode.d6.loss_mask: 0.7275, decode.d6.loss_dice: 1.1614, decode.d7.loss_cls: 0.7376, decode.d7.loss_mask: 0.7273, decode.d7.loss_dice: 1.1593, decode.d8.loss_cls: 0.7419, decode.d8.loss_mask: 0.7241, decode.d8.loss_dice: 1.1562, loss: 28.5842 2022-09-13 20:26:53,374 - mmseg - INFO - Iter [75200/80000] lr: 8.617e-08, eta: 2:34:50, time: 1.866, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7320, decode.loss_mask: 0.7214, decode.loss_dice: 1.1321, decode.d0.loss_cls: 2.4434, decode.d0.loss_mask: 0.7600, decode.d0.loss_dice: 1.3203, decode.d1.loss_cls: 0.8202, decode.d1.loss_mask: 0.7635, decode.d1.loss_dice: 1.2339, decode.d2.loss_cls: 0.7652, decode.d2.loss_mask: 0.7417, decode.d2.loss_dice: 1.1850, decode.d3.loss_cls: 0.7533, decode.d3.loss_mask: 0.7317, decode.d3.loss_dice: 1.1555, decode.d4.loss_cls: 0.7378, decode.d4.loss_mask: 0.7330, decode.d4.loss_dice: 1.1548, decode.d5.loss_cls: 0.7353, decode.d5.loss_mask: 0.7306, decode.d5.loss_dice: 1.1545, decode.d6.loss_cls: 0.7366, decode.d6.loss_mask: 0.7218, decode.d6.loss_dice: 1.1347, decode.d7.loss_cls: 0.7306, decode.d7.loss_mask: 0.7241, decode.d7.loss_dice: 1.1394, decode.d8.loss_cls: 0.7307, decode.d8.loss_mask: 0.7236, decode.d8.loss_dice: 1.1355, loss: 28.2821 2022-09-13 20:28:27,348 - mmseg - INFO - Iter [75250/80000] lr: 8.527e-08, eta: 2:33:13, time: 1.880, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7041, decode.loss_mask: 0.7439, decode.loss_dice: 1.1191, decode.d0.loss_cls: 2.3737, decode.d0.loss_mask: 0.7658, decode.d0.loss_dice: 1.2905, decode.d1.loss_cls: 0.7893, decode.d1.loss_mask: 0.7764, decode.d1.loss_dice: 1.2082, decode.d2.loss_cls: 0.7416, decode.d2.loss_mask: 0.7564, decode.d2.loss_dice: 1.1644, decode.d3.loss_cls: 0.7291, decode.d3.loss_mask: 0.7555, decode.d3.loss_dice: 1.1484, decode.d4.loss_cls: 0.7176, decode.d4.loss_mask: 0.7547, decode.d4.loss_dice: 1.1388, decode.d5.loss_cls: 0.7115, decode.d5.loss_mask: 0.7490, decode.d5.loss_dice: 1.1326, decode.d6.loss_cls: 0.7012, decode.d6.loss_mask: 0.7499, decode.d6.loss_dice: 1.1300, decode.d7.loss_cls: 0.7043, decode.d7.loss_mask: 0.7430, decode.d7.loss_dice: 1.1243, decode.d8.loss_cls: 0.6987, decode.d8.loss_mask: 0.7460, decode.d8.loss_dice: 1.1266, loss: 27.9947 2022-09-13 20:30:00,715 - mmseg - INFO - Iter [75300/80000] lr: 8.437e-08, eta: 2:31:36, time: 1.867, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7373, decode.loss_mask: 0.7161, decode.loss_dice: 1.1424, decode.d0.loss_cls: 2.4310, decode.d0.loss_mask: 0.7460, decode.d0.loss_dice: 1.3231, decode.d1.loss_cls: 0.8194, decode.d1.loss_mask: 0.7486, decode.d1.loss_dice: 1.2362, decode.d2.loss_cls: 0.7613, decode.d2.loss_mask: 0.7339, decode.d2.loss_dice: 1.1827, decode.d3.loss_cls: 0.7534, decode.d3.loss_mask: 0.7232, decode.d3.loss_dice: 1.1613, decode.d4.loss_cls: 0.7382, decode.d4.loss_mask: 0.7256, decode.d4.loss_dice: 1.1602, decode.d5.loss_cls: 0.7361, decode.d5.loss_mask: 0.7202, decode.d5.loss_dice: 1.1530, decode.d6.loss_cls: 0.7343, decode.d6.loss_mask: 0.7174, decode.d6.loss_dice: 1.1483, decode.d7.loss_cls: 0.7319, decode.d7.loss_mask: 0.7197, decode.d7.loss_dice: 1.1474, decode.d8.loss_cls: 0.7333, decode.d8.loss_mask: 0.7156, decode.d8.loss_dice: 1.1444, loss: 28.2416 2022-09-13 20:31:33,997 - mmseg - INFO - Iter [75350/80000] lr: 8.347e-08, eta: 2:29:59, time: 1.865, data_time: 0.013, memory: 42763, decode.loss_cls: 0.6991, decode.loss_mask: 0.7362, decode.loss_dice: 1.1239, decode.d0.loss_cls: 2.4135, decode.d0.loss_mask: 0.7526, decode.d0.loss_dice: 1.3001, decode.d1.loss_cls: 0.7879, decode.d1.loss_mask: 0.7701, decode.d1.loss_dice: 1.2179, decode.d2.loss_cls: 0.7331, decode.d2.loss_mask: 0.7513, decode.d2.loss_dice: 1.1663, decode.d3.loss_cls: 0.7180, decode.d3.loss_mask: 0.7427, decode.d3.loss_dice: 1.1408, decode.d4.loss_cls: 0.7113, decode.d4.loss_mask: 0.7414, decode.d4.loss_dice: 1.1390, decode.d5.loss_cls: 0.7041, decode.d5.loss_mask: 0.7375, decode.d5.loss_dice: 1.1314, decode.d6.loss_cls: 0.7083, decode.d6.loss_mask: 0.7332, decode.d6.loss_dice: 1.1182, decode.d7.loss_cls: 0.7022, decode.d7.loss_mask: 0.7319, decode.d7.loss_dice: 1.1197, decode.d8.loss_cls: 0.6993, decode.d8.loss_mask: 0.7319, decode.d8.loss_dice: 1.1199, loss: 27.8827 2022-09-13 20:33:08,876 - mmseg - INFO - Iter [75400/80000] lr: 8.258e-08, eta: 2:28:22, time: 1.898, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7048, decode.loss_mask: 0.7293, decode.loss_dice: 1.1346, decode.d0.loss_cls: 2.4465, decode.d0.loss_mask: 0.7418, decode.d0.loss_dice: 1.3115, decode.d1.loss_cls: 0.7871, decode.d1.loss_mask: 0.7553, decode.d1.loss_dice: 1.2263, decode.d2.loss_cls: 0.7370, decode.d2.loss_mask: 0.7421, decode.d2.loss_dice: 1.1830, decode.d3.loss_cls: 0.7263, decode.d3.loss_mask: 0.7414, decode.d3.loss_dice: 1.1642, decode.d4.loss_cls: 0.7113, decode.d4.loss_mask: 0.7338, decode.d4.loss_dice: 1.1639, decode.d5.loss_cls: 0.7088, decode.d5.loss_mask: 0.7300, decode.d5.loss_dice: 1.1482, decode.d6.loss_cls: 0.7106, decode.d6.loss_mask: 0.7274, decode.d6.loss_dice: 1.1454, decode.d7.loss_cls: 0.7071, decode.d7.loss_mask: 0.7270, decode.d7.loss_dice: 1.1373, decode.d8.loss_cls: 0.7053, decode.d8.loss_mask: 0.7301, decode.d8.loss_dice: 1.1366, loss: 28.0540 2022-09-13 20:34:44,538 - mmseg - INFO - Iter [75450/80000] lr: 8.168e-08, eta: 2:26:45, time: 1.913, data_time: 0.013, memory: 42763, decode.loss_cls: 0.6916, decode.loss_mask: 0.7356, decode.loss_dice: 1.0984, decode.d0.loss_cls: 2.4103, decode.d0.loss_mask: 0.7655, decode.d0.loss_dice: 1.2673, decode.d1.loss_cls: 0.7814, decode.d1.loss_mask: 0.7711, decode.d1.loss_dice: 1.1885, decode.d2.loss_cls: 0.7275, decode.d2.loss_mask: 0.7498, decode.d2.loss_dice: 1.1379, decode.d3.loss_cls: 0.7199, decode.d3.loss_mask: 0.7450, decode.d3.loss_dice: 1.1229, decode.d4.loss_cls: 0.7163, decode.d4.loss_mask: 0.7433, decode.d4.loss_dice: 1.1151, decode.d5.loss_cls: 0.7076, decode.d5.loss_mask: 0.7360, decode.d5.loss_dice: 1.1089, decode.d6.loss_cls: 0.6992, decode.d6.loss_mask: 0.7334, decode.d6.loss_dice: 1.1008, decode.d7.loss_cls: 0.6967, decode.d7.loss_mask: 0.7328, decode.d7.loss_dice: 1.0958, decode.d8.loss_cls: 0.6968, decode.d8.loss_mask: 0.7316, decode.d8.loss_dice: 1.0958, loss: 27.6227 2022-09-13 20:36:19,364 - mmseg - INFO - Iter [75500/80000] lr: 8.078e-08, eta: 2:25:08, time: 1.897, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7224, decode.loss_mask: 0.7396, decode.loss_dice: 1.1303, decode.d0.loss_cls: 2.4557, decode.d0.loss_mask: 0.7736, decode.d0.loss_dice: 1.3273, decode.d1.loss_cls: 0.8117, decode.d1.loss_mask: 0.7744, decode.d1.loss_dice: 1.2448, decode.d2.loss_cls: 0.7616, decode.d2.loss_mask: 0.7576, decode.d2.loss_dice: 1.1861, decode.d3.loss_cls: 0.7474, decode.d3.loss_mask: 0.7505, decode.d3.loss_dice: 1.1631, decode.d4.loss_cls: 0.7392, decode.d4.loss_mask: 0.7468, decode.d4.loss_dice: 1.1548, decode.d5.loss_cls: 0.7314, decode.d5.loss_mask: 0.7424, decode.d5.loss_dice: 1.1526, decode.d6.loss_cls: 0.7290, decode.d6.loss_mask: 0.7398, decode.d6.loss_dice: 1.1456, decode.d7.loss_cls: 0.7168, decode.d7.loss_mask: 0.7422, decode.d7.loss_dice: 1.1381, decode.d8.loss_cls: 0.7173, decode.d8.loss_mask: 0.7415, decode.d8.loss_dice: 1.1422, loss: 28.4255 2022-09-13 20:37:54,066 - mmseg - INFO - Iter [75550/80000] lr: 7.988e-08, eta: 2:23:31, time: 1.894, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7292, decode.loss_mask: 0.7674, decode.loss_dice: 1.1508, decode.d0.loss_cls: 2.4542, decode.d0.loss_mask: 0.7966, decode.d0.loss_dice: 1.3355, decode.d1.loss_cls: 0.8189, decode.d1.loss_mask: 0.7989, decode.d1.loss_dice: 1.2421, decode.d2.loss_cls: 0.7612, decode.d2.loss_mask: 0.7841, decode.d2.loss_dice: 1.1981, decode.d3.loss_cls: 0.7550, decode.d3.loss_mask: 0.7734, decode.d3.loss_dice: 1.1734, decode.d4.loss_cls: 0.7508, decode.d4.loss_mask: 0.7714, decode.d4.loss_dice: 1.1685, decode.d5.loss_cls: 0.7392, decode.d5.loss_mask: 0.7714, decode.d5.loss_dice: 1.1639, decode.d6.loss_cls: 0.7346, decode.d6.loss_mask: 0.7690, decode.d6.loss_dice: 1.1520, decode.d7.loss_cls: 0.7387, decode.d7.loss_mask: 0.7676, decode.d7.loss_dice: 1.1516, decode.d8.loss_cls: 0.7372, decode.d8.loss_mask: 0.7641, decode.d8.loss_dice: 1.1477, loss: 28.8666 2022-09-13 20:39:28,414 - mmseg - INFO - Iter [75600/80000] lr: 7.899e-08, eta: 2:21:54, time: 1.887, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7262, decode.loss_mask: 0.7316, decode.loss_dice: 1.1591, decode.d0.loss_cls: 2.4285, decode.d0.loss_mask: 0.7616, decode.d0.loss_dice: 1.3350, decode.d1.loss_cls: 0.8075, decode.d1.loss_mask: 0.7703, decode.d1.loss_dice: 1.2525, decode.d2.loss_cls: 0.7570, decode.d2.loss_mask: 0.7536, decode.d2.loss_dice: 1.2033, decode.d3.loss_cls: 0.7444, decode.d3.loss_mask: 0.7446, decode.d3.loss_dice: 1.1795, decode.d4.loss_cls: 0.7374, decode.d4.loss_mask: 0.7439, decode.d4.loss_dice: 1.1704, decode.d5.loss_cls: 0.7321, decode.d5.loss_mask: 0.7422, decode.d5.loss_dice: 1.1658, decode.d6.loss_cls: 0.7388, decode.d6.loss_mask: 0.7324, decode.d6.loss_dice: 1.1574, decode.d7.loss_cls: 0.7295, decode.d7.loss_mask: 0.7331, decode.d7.loss_dice: 1.1512, decode.d8.loss_cls: 0.7329, decode.d8.loss_mask: 0.7311, decode.d8.loss_dice: 1.1542, loss: 28.5071 2022-09-13 20:41:02,173 - mmseg - INFO - Iter [75650/80000] lr: 7.809e-08, eta: 2:20:17, time: 1.875, data_time: 0.017, memory: 42763, decode.loss_cls: 0.6917, decode.loss_mask: 0.7257, decode.loss_dice: 1.1320, decode.d0.loss_cls: 2.3833, decode.d0.loss_mask: 0.7546, decode.d0.loss_dice: 1.3059, decode.d1.loss_cls: 0.7866, decode.d1.loss_mask: 0.7569, decode.d1.loss_dice: 1.2267, decode.d2.loss_cls: 0.7279, decode.d2.loss_mask: 0.7429, decode.d2.loss_dice: 1.1766, decode.d3.loss_cls: 0.7111, decode.d3.loss_mask: 0.7354, decode.d3.loss_dice: 1.1583, decode.d4.loss_cls: 0.7085, decode.d4.loss_mask: 0.7332, decode.d4.loss_dice: 1.1543, decode.d5.loss_cls: 0.7005, decode.d5.loss_mask: 0.7320, decode.d5.loss_dice: 1.1455, decode.d6.loss_cls: 0.6968, decode.d6.loss_mask: 0.7282, decode.d6.loss_dice: 1.1366, decode.d7.loss_cls: 0.6933, decode.d7.loss_mask: 0.7250, decode.d7.loss_dice: 1.1368, decode.d8.loss_cls: 0.6941, decode.d8.loss_mask: 0.7269, decode.d8.loss_dice: 1.1351, loss: 27.8627 2022-09-13 20:42:35,502 - mmseg - INFO - Iter [75700/80000] lr: 7.719e-08, eta: 2:18:40, time: 1.867, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7274, decode.loss_mask: 0.7491, decode.loss_dice: 1.1575, decode.d0.loss_cls: 2.4394, decode.d0.loss_mask: 0.7740, decode.d0.loss_dice: 1.3391, decode.d1.loss_cls: 0.8120, decode.d1.loss_mask: 0.7810, decode.d1.loss_dice: 1.2506, decode.d2.loss_cls: 0.7571, decode.d2.loss_mask: 0.7691, decode.d2.loss_dice: 1.2049, decode.d3.loss_cls: 0.7446, decode.d3.loss_mask: 0.7577, decode.d3.loss_dice: 1.1754, decode.d4.loss_cls: 0.7366, decode.d4.loss_mask: 0.7527, decode.d4.loss_dice: 1.1842, decode.d5.loss_cls: 0.7277, decode.d5.loss_mask: 0.7559, decode.d5.loss_dice: 1.1770, decode.d6.loss_cls: 0.7266, decode.d6.loss_mask: 0.7513, decode.d6.loss_dice: 1.1656, decode.d7.loss_cls: 0.7223, decode.d7.loss_mask: 0.7539, decode.d7.loss_dice: 1.1674, decode.d8.loss_cls: 0.7242, decode.d8.loss_mask: 0.7509, decode.d8.loss_dice: 1.1549, loss: 28.6900 2022-09-13 20:44:10,784 - mmseg - INFO - Iter [75750/80000] lr: 7.629e-08, eta: 2:17:04, time: 1.906, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7304, decode.loss_mask: 0.7379, decode.loss_dice: 1.1419, decode.d0.loss_cls: 2.4315, decode.d0.loss_mask: 0.7577, decode.d0.loss_dice: 1.3227, decode.d1.loss_cls: 0.8173, decode.d1.loss_mask: 0.7672, decode.d1.loss_dice: 1.2334, decode.d2.loss_cls: 0.7678, decode.d2.loss_mask: 0.7558, decode.d2.loss_dice: 1.1853, decode.d3.loss_cls: 0.7536, decode.d3.loss_mask: 0.7536, decode.d3.loss_dice: 1.1619, decode.d4.loss_cls: 0.7472, decode.d4.loss_mask: 0.7449, decode.d4.loss_dice: 1.1564, decode.d5.loss_cls: 0.7378, decode.d5.loss_mask: 0.7381, decode.d5.loss_dice: 1.1485, decode.d6.loss_cls: 0.7319, decode.d6.loss_mask: 0.7362, decode.d6.loss_dice: 1.1454, decode.d7.loss_cls: 0.7296, decode.d7.loss_mask: 0.7381, decode.d7.loss_dice: 1.1421, decode.d8.loss_cls: 0.7304, decode.d8.loss_mask: 0.7343, decode.d8.loss_dice: 1.1391, loss: 28.4179 2022-09-13 20:45:46,981 - mmseg - INFO - Iter [75800/80000] lr: 7.540e-08, eta: 2:15:27, time: 1.924, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7229, decode.loss_mask: 0.7177, decode.loss_dice: 1.1370, decode.d0.loss_cls: 2.4355, decode.d0.loss_mask: 0.7449, decode.d0.loss_dice: 1.3219, decode.d1.loss_cls: 0.8111, decode.d1.loss_mask: 0.7496, decode.d1.loss_dice: 1.2308, decode.d2.loss_cls: 0.7594, decode.d2.loss_mask: 0.7359, decode.d2.loss_dice: 1.1820, decode.d3.loss_cls: 0.7434, decode.d3.loss_mask: 0.7255, decode.d3.loss_dice: 1.1608, decode.d4.loss_cls: 0.7354, decode.d4.loss_mask: 0.7235, decode.d4.loss_dice: 1.1557, decode.d5.loss_cls: 0.7247, decode.d5.loss_mask: 0.7204, decode.d5.loss_dice: 1.1538, decode.d6.loss_cls: 0.7258, decode.d6.loss_mask: 0.7172, decode.d6.loss_dice: 1.1462, decode.d7.loss_cls: 0.7224, decode.d7.loss_mask: 0.7189, decode.d7.loss_dice: 1.1455, decode.d8.loss_cls: 0.7206, decode.d8.loss_mask: 0.7180, decode.d8.loss_dice: 1.1424, loss: 28.1490 2022-09-13 20:47:22,180 - mmseg - INFO - Iter [75850/80000] lr: 7.450e-08, eta: 2:13:50, time: 1.904, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7364, decode.loss_mask: 0.7397, decode.loss_dice: 1.1507, decode.d0.loss_cls: 2.4836, decode.d0.loss_mask: 0.7686, decode.d0.loss_dice: 1.3382, decode.d1.loss_cls: 0.8214, decode.d1.loss_mask: 0.7685, decode.d1.loss_dice: 1.2490, decode.d2.loss_cls: 0.7696, decode.d2.loss_mask: 0.7511, decode.d2.loss_dice: 1.1993, decode.d3.loss_cls: 0.7599, decode.d3.loss_mask: 0.7476, decode.d3.loss_dice: 1.1770, decode.d4.loss_cls: 0.7488, decode.d4.loss_mask: 0.7435, decode.d4.loss_dice: 1.1712, decode.d5.loss_cls: 0.7395, decode.d5.loss_mask: 0.7445, decode.d5.loss_dice: 1.1720, decode.d6.loss_cls: 0.7390, decode.d6.loss_mask: 0.7408, decode.d6.loss_dice: 1.1582, decode.d7.loss_cls: 0.7355, decode.d7.loss_mask: 0.7420, decode.d7.loss_dice: 1.1613, decode.d8.loss_cls: 0.7334, decode.d8.loss_mask: 0.7418, decode.d8.loss_dice: 1.1625, loss: 28.6944 2022-09-13 20:48:56,144 - mmseg - INFO - Iter [75900/80000] lr: 7.360e-08, eta: 2:12:13, time: 1.879, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7148, decode.loss_mask: 0.7283, decode.loss_dice: 1.1190, decode.d0.loss_cls: 2.4571, decode.d0.loss_mask: 0.7660, decode.d0.loss_dice: 1.3055, decode.d1.loss_cls: 0.7999, decode.d1.loss_mask: 0.7736, decode.d1.loss_dice: 1.2219, decode.d2.loss_cls: 0.7510, decode.d2.loss_mask: 0.7588, decode.d2.loss_dice: 1.1672, decode.d3.loss_cls: 0.7343, decode.d3.loss_mask: 0.7463, decode.d3.loss_dice: 1.1399, decode.d4.loss_cls: 0.7300, decode.d4.loss_mask: 0.7422, decode.d4.loss_dice: 1.1356, decode.d5.loss_cls: 0.7292, decode.d5.loss_mask: 0.7341, decode.d5.loss_dice: 1.1350, decode.d6.loss_cls: 0.7217, decode.d6.loss_mask: 0.7301, decode.d6.loss_dice: 1.1245, decode.d7.loss_cls: 0.7214, decode.d7.loss_mask: 0.7287, decode.d7.loss_dice: 1.1241, decode.d8.loss_cls: 0.7200, decode.d8.loss_mask: 0.7277, decode.d8.loss_dice: 1.1181, loss: 28.1061 2022-09-13 20:50:29,330 - mmseg - INFO - Iter [75950/80000] lr: 7.271e-08, eta: 2:10:36, time: 1.864, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7140, decode.loss_mask: 0.7383, decode.loss_dice: 1.0805, decode.d0.loss_cls: 2.4137, decode.d0.loss_mask: 0.7690, decode.d0.loss_dice: 1.2675, decode.d1.loss_cls: 0.7941, decode.d1.loss_mask: 0.7656, decode.d1.loss_dice: 1.1705, decode.d2.loss_cls: 0.7522, decode.d2.loss_mask: 0.7546, decode.d2.loss_dice: 1.1262, decode.d3.loss_cls: 0.7315, decode.d3.loss_mask: 0.7511, decode.d3.loss_dice: 1.1051, decode.d4.loss_cls: 0.7185, decode.d4.loss_mask: 0.7510, decode.d4.loss_dice: 1.0986, decode.d5.loss_cls: 0.7174, decode.d5.loss_mask: 0.7481, decode.d5.loss_dice: 1.0966, decode.d6.loss_cls: 0.7162, decode.d6.loss_mask: 0.7378, decode.d6.loss_dice: 1.0802, decode.d7.loss_cls: 0.7106, decode.d7.loss_mask: 0.7397, decode.d7.loss_dice: 1.0868, decode.d8.loss_cls: 0.7107, decode.d8.loss_mask: 0.7376, decode.d8.loss_dice: 1.0837, loss: 27.6673 2022-09-13 20:52:03,225 - mmseg - INFO - Saving checkpoint at 76000 iterations 2022-09-13 20:52:33,172 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 20:52:33,176 - mmseg - INFO - Iter [76000/80000] lr: 7.181e-08, eta: 2:09:01, time: 2.475, data_time: 0.012, memory: 42763, decode.loss_cls: 0.6903, decode.loss_mask: 0.7155, decode.loss_dice: 1.0783, decode.d0.loss_cls: 2.3750, decode.d0.loss_mask: 0.7394, decode.d0.loss_dice: 1.2492, decode.d1.loss_cls: 0.7672, decode.d1.loss_mask: 0.7540, decode.d1.loss_dice: 1.1731, decode.d2.loss_cls: 0.7340, decode.d2.loss_mask: 0.7368, decode.d2.loss_dice: 1.1205, decode.d3.loss_cls: 0.7209, decode.d3.loss_mask: 0.7221, decode.d3.loss_dice: 1.0955, decode.d4.loss_cls: 0.7150, decode.d4.loss_mask: 0.7266, decode.d4.loss_dice: 1.0938, decode.d5.loss_cls: 0.7114, decode.d5.loss_mask: 0.7161, decode.d5.loss_dice: 1.0829, decode.d6.loss_cls: 0.7037, decode.d6.loss_mask: 0.7118, decode.d6.loss_dice: 1.0820, decode.d7.loss_cls: 0.6979, decode.d7.loss_mask: 0.7140, decode.d7.loss_dice: 1.0812, decode.d8.loss_cls: 0.6913, decode.d8.loss_mask: 0.7185, decode.d8.loss_dice: 1.0748, loss: 27.1929 2022-09-13 20:54:08,809 - mmseg - INFO - Iter [76050/80000] lr: 7.091e-08, eta: 2:07:24, time: 1.915, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7350, decode.loss_mask: 0.7549, decode.loss_dice: 1.1411, decode.d0.loss_cls: 2.4389, decode.d0.loss_mask: 0.7863, decode.d0.loss_dice: 1.3393, decode.d1.loss_cls: 0.8246, decode.d1.loss_mask: 0.7851, decode.d1.loss_dice: 1.2397, decode.d2.loss_cls: 0.7776, decode.d2.loss_mask: 0.7681, decode.d2.loss_dice: 1.1880, decode.d3.loss_cls: 0.7570, decode.d3.loss_mask: 0.7651, decode.d3.loss_dice: 1.1681, decode.d4.loss_cls: 0.7480, decode.d4.loss_mask: 0.7567, decode.d4.loss_dice: 1.1656, decode.d5.loss_cls: 0.7456, decode.d5.loss_mask: 0.7557, decode.d5.loss_dice: 1.1566, decode.d6.loss_cls: 0.7323, decode.d6.loss_mask: 0.7536, decode.d6.loss_dice: 1.1433, decode.d7.loss_cls: 0.7328, decode.d7.loss_mask: 0.7519, decode.d7.loss_dice: 1.1463, decode.d8.loss_cls: 0.7284, decode.d8.loss_mask: 0.7508, decode.d8.loss_dice: 1.1438, loss: 28.6804 2022-09-13 20:55:43,501 - mmseg - INFO - Iter [76100/80000] lr: 7.001e-08, eta: 2:05:47, time: 1.894, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7343, decode.loss_mask: 0.7141, decode.loss_dice: 1.1413, decode.d0.loss_cls: 2.4354, decode.d0.loss_mask: 0.7413, decode.d0.loss_dice: 1.3280, decode.d1.loss_cls: 0.8175, decode.d1.loss_mask: 0.7490, decode.d1.loss_dice: 1.2386, decode.d2.loss_cls: 0.7638, decode.d2.loss_mask: 0.7365, decode.d2.loss_dice: 1.1850, decode.d3.loss_cls: 0.7575, decode.d3.loss_mask: 0.7231, decode.d3.loss_dice: 1.1531, decode.d4.loss_cls: 0.7470, decode.d4.loss_mask: 0.7240, decode.d4.loss_dice: 1.1542, decode.d5.loss_cls: 0.7423, decode.d5.loss_mask: 0.7212, decode.d5.loss_dice: 1.1525, decode.d6.loss_cls: 0.7393, decode.d6.loss_mask: 0.7173, decode.d6.loss_dice: 1.1444, decode.d7.loss_cls: 0.7343, decode.d7.loss_mask: 0.7204, decode.d7.loss_dice: 1.1420, decode.d8.loss_cls: 0.7378, decode.d8.loss_mask: 0.7167, decode.d8.loss_dice: 1.1411, loss: 28.2532 2022-09-13 20:57:17,432 - mmseg - INFO - Iter [76150/80000] lr: 6.912e-08, eta: 2:04:10, time: 1.879, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7071, decode.loss_mask: 0.7082, decode.loss_dice: 1.1147, decode.d0.loss_cls: 2.4091, decode.d0.loss_mask: 0.7429, decode.d0.loss_dice: 1.3225, decode.d1.loss_cls: 0.8060, decode.d1.loss_mask: 0.7364, decode.d1.loss_dice: 1.2162, decode.d2.loss_cls: 0.7448, decode.d2.loss_mask: 0.7260, decode.d2.loss_dice: 1.1682, decode.d3.loss_cls: 0.7325, decode.d3.loss_mask: 0.7145, decode.d3.loss_dice: 1.1396, decode.d4.loss_cls: 0.7191, decode.d4.loss_mask: 0.7164, decode.d4.loss_dice: 1.1322, decode.d5.loss_cls: 0.7158, decode.d5.loss_mask: 0.7109, decode.d5.loss_dice: 1.1315, decode.d6.loss_cls: 0.7139, decode.d6.loss_mask: 0.7073, decode.d6.loss_dice: 1.1207, decode.d7.loss_cls: 0.7121, decode.d7.loss_mask: 0.7046, decode.d7.loss_dice: 1.1183, decode.d8.loss_cls: 0.7084, decode.d8.loss_mask: 0.7060, decode.d8.loss_dice: 1.1195, loss: 27.7258 2022-09-13 20:58:50,657 - mmseg - INFO - Iter [76200/80000] lr: 6.822e-08, eta: 2:02:33, time: 1.864, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7311, decode.loss_mask: 0.7468, decode.loss_dice: 1.1463, decode.d0.loss_cls: 2.4319, decode.d0.loss_mask: 0.7776, decode.d0.loss_dice: 1.3399, decode.d1.loss_cls: 0.7992, decode.d1.loss_mask: 0.7832, decode.d1.loss_dice: 1.2417, decode.d2.loss_cls: 0.7528, decode.d2.loss_mask: 0.7709, decode.d2.loss_dice: 1.1971, decode.d3.loss_cls: 0.7443, decode.d3.loss_mask: 0.7596, decode.d3.loss_dice: 1.1713, decode.d4.loss_cls: 0.7360, decode.d4.loss_mask: 0.7563, decode.d4.loss_dice: 1.1640, decode.d5.loss_cls: 0.7340, decode.d5.loss_mask: 0.7524, decode.d5.loss_dice: 1.1612, decode.d6.loss_cls: 0.7263, decode.d6.loss_mask: 0.7494, decode.d6.loss_dice: 1.1485, decode.d7.loss_cls: 0.7295, decode.d7.loss_mask: 0.7519, decode.d7.loss_dice: 1.1499, decode.d8.loss_cls: 0.7259, decode.d8.loss_mask: 0.7519, decode.d8.loss_dice: 1.1550, loss: 28.5860 2022-09-13 21:00:23,959 - mmseg - INFO - Iter [76250/80000] lr: 6.732e-08, eta: 2:00:56, time: 1.866, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7475, decode.loss_mask: 0.7271, decode.loss_dice: 1.1373, decode.d0.loss_cls: 2.4678, decode.d0.loss_mask: 0.7502, decode.d0.loss_dice: 1.3341, decode.d1.loss_cls: 0.8263, decode.d1.loss_mask: 0.7647, decode.d1.loss_dice: 1.2421, decode.d2.loss_cls: 0.7766, decode.d2.loss_mask: 0.7476, decode.d2.loss_dice: 1.1925, decode.d3.loss_cls: 0.7695, decode.d3.loss_mask: 0.7345, decode.d3.loss_dice: 1.1651, decode.d4.loss_cls: 0.7613, decode.d4.loss_mask: 0.7348, decode.d4.loss_dice: 1.1563, decode.d5.loss_cls: 0.7507, decode.d5.loss_mask: 0.7322, decode.d5.loss_dice: 1.1525, decode.d6.loss_cls: 0.7511, decode.d6.loss_mask: 0.7279, decode.d6.loss_dice: 1.1412, decode.d7.loss_cls: 0.7503, decode.d7.loss_mask: 0.7278, decode.d7.loss_dice: 1.1406, decode.d8.loss_cls: 0.7472, decode.d8.loss_mask: 0.7258, decode.d8.loss_dice: 1.1429, loss: 28.5253 2022-09-13 21:01:57,695 - mmseg - INFO - Iter [76300/80000] lr: 6.642e-08, eta: 1:59:19, time: 1.875, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7229, decode.loss_mask: 0.7217, decode.loss_dice: 1.1388, decode.d0.loss_cls: 2.4349, decode.d0.loss_mask: 0.7539, decode.d0.loss_dice: 1.3274, decode.d1.loss_cls: 0.8182, decode.d1.loss_mask: 0.7638, decode.d1.loss_dice: 1.2291, decode.d2.loss_cls: 0.7601, decode.d2.loss_mask: 0.7451, decode.d2.loss_dice: 1.1866, decode.d3.loss_cls: 0.7473, decode.d3.loss_mask: 0.7363, decode.d3.loss_dice: 1.1632, decode.d4.loss_cls: 0.7347, decode.d4.loss_mask: 0.7320, decode.d4.loss_dice: 1.1538, decode.d5.loss_cls: 0.7256, decode.d5.loss_mask: 0.7309, decode.d5.loss_dice: 1.1536, decode.d6.loss_cls: 0.7280, decode.d6.loss_mask: 0.7263, decode.d6.loss_dice: 1.1438, decode.d7.loss_cls: 0.7244, decode.d7.loss_mask: 0.7238, decode.d7.loss_dice: 1.1404, decode.d8.loss_cls: 0.7273, decode.d8.loss_mask: 0.7237, decode.d8.loss_dice: 1.1397, loss: 28.2575 2022-09-13 21:03:32,084 - mmseg - INFO - Iter [76350/80000] lr: 6.553e-08, eta: 1:57:43, time: 1.888, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7307, decode.loss_mask: 0.7299, decode.loss_dice: 1.1394, decode.d0.loss_cls: 2.4566, decode.d0.loss_mask: 0.7496, decode.d0.loss_dice: 1.3221, decode.d1.loss_cls: 0.8083, decode.d1.loss_mask: 0.7682, decode.d1.loss_dice: 1.2338, decode.d2.loss_cls: 0.7595, decode.d2.loss_mask: 0.7528, decode.d2.loss_dice: 1.1859, decode.d3.loss_cls: 0.7446, decode.d3.loss_mask: 0.7419, decode.d3.loss_dice: 1.1599, decode.d4.loss_cls: 0.7398, decode.d4.loss_mask: 0.7428, decode.d4.loss_dice: 1.1607, decode.d5.loss_cls: 0.7374, decode.d5.loss_mask: 0.7315, decode.d5.loss_dice: 1.1467, decode.d6.loss_cls: 0.7325, decode.d6.loss_mask: 0.7318, decode.d6.loss_dice: 1.1388, decode.d7.loss_cls: 0.7297, decode.d7.loss_mask: 0.7307, decode.d7.loss_dice: 1.1408, decode.d8.loss_cls: 0.7286, decode.d8.loss_mask: 0.7271, decode.d8.loss_dice: 1.1390, loss: 28.3412 2022-09-13 21:05:06,844 - mmseg - INFO - Iter [76400/80000] lr: 6.463e-08, eta: 1:56:06, time: 1.895, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7073, decode.loss_mask: 0.7609, decode.loss_dice: 1.1671, decode.d0.loss_cls: 2.4528, decode.d0.loss_mask: 0.7770, decode.d0.loss_dice: 1.3445, decode.d1.loss_cls: 0.7912, decode.d1.loss_mask: 0.7982, decode.d1.loss_dice: 1.2589, decode.d2.loss_cls: 0.7419, decode.d2.loss_mask: 0.7774, decode.d2.loss_dice: 1.2096, decode.d3.loss_cls: 0.7332, decode.d3.loss_mask: 0.7742, decode.d3.loss_dice: 1.1859, decode.d4.loss_cls: 0.7232, decode.d4.loss_mask: 0.7696, decode.d4.loss_dice: 1.1832, decode.d5.loss_cls: 0.7158, decode.d5.loss_mask: 0.7682, decode.d5.loss_dice: 1.1798, decode.d6.loss_cls: 0.7071, decode.d6.loss_mask: 0.7653, decode.d6.loss_dice: 1.1696, decode.d7.loss_cls: 0.7094, decode.d7.loss_mask: 0.7624, decode.d7.loss_dice: 1.1678, decode.d8.loss_cls: 0.7066, decode.d8.loss_mask: 0.7590, decode.d8.loss_dice: 1.1685, loss: 28.7356 2022-09-13 21:06:40,983 - mmseg - INFO - Iter [76450/80000] lr: 6.373e-08, eta: 1:54:29, time: 1.882, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7269, decode.loss_mask: 0.7293, decode.loss_dice: 1.1481, decode.d0.loss_cls: 2.4357, decode.d0.loss_mask: 0.7615, decode.d0.loss_dice: 1.3184, decode.d1.loss_cls: 0.7960, decode.d1.loss_mask: 0.7649, decode.d1.loss_dice: 1.2391, decode.d2.loss_cls: 0.7536, decode.d2.loss_mask: 0.7486, decode.d2.loss_dice: 1.1893, decode.d3.loss_cls: 0.7427, decode.d3.loss_mask: 0.7417, decode.d3.loss_dice: 1.1668, decode.d4.loss_cls: 0.7361, decode.d4.loss_mask: 0.7334, decode.d4.loss_dice: 1.1567, decode.d5.loss_cls: 0.7307, decode.d5.loss_mask: 0.7343, decode.d5.loss_dice: 1.1550, decode.d6.loss_cls: 0.7299, decode.d6.loss_mask: 0.7309, decode.d6.loss_dice: 1.1502, decode.d7.loss_cls: 0.7275, decode.d7.loss_mask: 0.7339, decode.d7.loss_dice: 1.1532, decode.d8.loss_cls: 0.7297, decode.d8.loss_mask: 0.7303, decode.d8.loss_dice: 1.1454, loss: 28.3398 2022-09-13 21:08:15,970 - mmseg - INFO - Iter [76500/80000] lr: 6.283e-08, eta: 1:52:52, time: 1.900, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7027, decode.loss_mask: 0.7392, decode.loss_dice: 1.1522, decode.d0.loss_cls: 2.3982, decode.d0.loss_mask: 0.7745, decode.d0.loss_dice: 1.3475, decode.d1.loss_cls: 0.7846, decode.d1.loss_mask: 0.7753, decode.d1.loss_dice: 1.2540, decode.d2.loss_cls: 0.7429, decode.d2.loss_mask: 0.7615, decode.d2.loss_dice: 1.2020, decode.d3.loss_cls: 0.7214, decode.d3.loss_mask: 0.7536, decode.d3.loss_dice: 1.1743, decode.d4.loss_cls: 0.7177, decode.d4.loss_mask: 0.7497, decode.d4.loss_dice: 1.1738, decode.d5.loss_cls: 0.7051, decode.d5.loss_mask: 0.7463, decode.d5.loss_dice: 1.1673, decode.d6.loss_cls: 0.7095, decode.d6.loss_mask: 0.7384, decode.d6.loss_dice: 1.1521, decode.d7.loss_cls: 0.7053, decode.d7.loss_mask: 0.7422, decode.d7.loss_dice: 1.1462, decode.d8.loss_cls: 0.7045, decode.d8.loss_mask: 0.7415, decode.d8.loss_dice: 1.1514, loss: 28.3349 2022-09-13 21:09:50,000 - mmseg - INFO - Iter [76550/80000] lr: 6.194e-08, eta: 1:51:15, time: 1.880, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7219, decode.loss_mask: 0.7124, decode.loss_dice: 1.0949, decode.d0.loss_cls: 2.4430, decode.d0.loss_mask: 0.7265, decode.d0.loss_dice: 1.2708, decode.d1.loss_cls: 0.8165, decode.d1.loss_mask: 0.7431, decode.d1.loss_dice: 1.1888, decode.d2.loss_cls: 0.7470, decode.d2.loss_mask: 0.7325, decode.d2.loss_dice: 1.1469, decode.d3.loss_cls: 0.7360, decode.d3.loss_mask: 0.7223, decode.d3.loss_dice: 1.1247, decode.d4.loss_cls: 0.7331, decode.d4.loss_mask: 0.7181, decode.d4.loss_dice: 1.1166, decode.d5.loss_cls: 0.7291, decode.d5.loss_mask: 0.7187, decode.d5.loss_dice: 1.1155, decode.d6.loss_cls: 0.7263, decode.d6.loss_mask: 0.7123, decode.d6.loss_dice: 1.1019, decode.d7.loss_cls: 0.7232, decode.d7.loss_mask: 0.7149, decode.d7.loss_dice: 1.1004, decode.d8.loss_cls: 0.7174, decode.d8.loss_mask: 0.7152, decode.d8.loss_dice: 1.1053, loss: 27.6753 2022-09-13 21:11:25,194 - mmseg - INFO - Iter [76600/80000] lr: 6.104e-08, eta: 1:49:38, time: 1.904, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7284, decode.loss_mask: 0.7476, decode.loss_dice: 1.1427, decode.d0.loss_cls: 2.4479, decode.d0.loss_mask: 0.7661, decode.d0.loss_dice: 1.3267, decode.d1.loss_cls: 0.8079, decode.d1.loss_mask: 0.7785, decode.d1.loss_dice: 1.2410, decode.d2.loss_cls: 0.7620, decode.d2.loss_mask: 0.7605, decode.d2.loss_dice: 1.1910, decode.d3.loss_cls: 0.7493, decode.d3.loss_mask: 0.7511, decode.d3.loss_dice: 1.1714, decode.d4.loss_cls: 0.7387, decode.d4.loss_mask: 0.7508, decode.d4.loss_dice: 1.1598, decode.d5.loss_cls: 0.7305, decode.d5.loss_mask: 0.7507, decode.d5.loss_dice: 1.1574, decode.d6.loss_cls: 0.7337, decode.d6.loss_mask: 0.7471, decode.d6.loss_dice: 1.1432, decode.d7.loss_cls: 0.7323, decode.d7.loss_mask: 0.7456, decode.d7.loss_dice: 1.1424, decode.d8.loss_cls: 0.7308, decode.d8.loss_mask: 0.7459, decode.d8.loss_dice: 1.1423, loss: 28.5233 2022-09-13 21:12:58,515 - mmseg - INFO - Iter [76650/80000] lr: 6.014e-08, eta: 1:48:01, time: 1.866, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7030, decode.loss_mask: 0.7312, decode.loss_dice: 1.1137, decode.d0.loss_cls: 2.4251, decode.d0.loss_mask: 0.7535, decode.d0.loss_dice: 1.2879, decode.d1.loss_cls: 0.7879, decode.d1.loss_mask: 0.7606, decode.d1.loss_dice: 1.2090, decode.d2.loss_cls: 0.7373, decode.d2.loss_mask: 0.7479, decode.d2.loss_dice: 1.1600, decode.d3.loss_cls: 0.7267, decode.d3.loss_mask: 0.7339, decode.d3.loss_dice: 1.1324, decode.d4.loss_cls: 0.7119, decode.d4.loss_mask: 0.7377, decode.d4.loss_dice: 1.1333, decode.d5.loss_cls: 0.7087, decode.d5.loss_mask: 0.7317, decode.d5.loss_dice: 1.1193, decode.d6.loss_cls: 0.7120, decode.d6.loss_mask: 0.7277, decode.d6.loss_dice: 1.1150, decode.d7.loss_cls: 0.7022, decode.d7.loss_mask: 0.7276, decode.d7.loss_dice: 1.1143, decode.d8.loss_cls: 0.7008, decode.d8.loss_mask: 0.7272, decode.d8.loss_dice: 1.1154, loss: 27.7951 2022-09-13 21:14:33,158 - mmseg - INFO - Iter [76700/80000] lr: 5.924e-08, eta: 1:46:25, time: 1.893, data_time: 0.014, memory: 42763, decode.loss_cls: 0.6982, decode.loss_mask: 0.7416, decode.loss_dice: 1.1319, decode.d0.loss_cls: 2.4070, decode.d0.loss_mask: 0.7685, decode.d0.loss_dice: 1.3099, decode.d1.loss_cls: 0.7708, decode.d1.loss_mask: 0.7849, decode.d1.loss_dice: 1.2252, decode.d2.loss_cls: 0.7287, decode.d2.loss_mask: 0.7625, decode.d2.loss_dice: 1.1781, decode.d3.loss_cls: 0.7229, decode.d3.loss_mask: 0.7543, decode.d3.loss_dice: 1.1522, decode.d4.loss_cls: 0.7149, decode.d4.loss_mask: 0.7526, decode.d4.loss_dice: 1.1527, decode.d5.loss_cls: 0.7075, decode.d5.loss_mask: 0.7465, decode.d5.loss_dice: 1.1466, decode.d6.loss_cls: 0.7030, decode.d6.loss_mask: 0.7450, decode.d6.loss_dice: 1.1346, decode.d7.loss_cls: 0.6998, decode.d7.loss_mask: 0.7473, decode.d7.loss_dice: 1.1371, decode.d8.loss_cls: 0.7005, decode.d8.loss_mask: 0.7448, decode.d8.loss_dice: 1.1350, loss: 28.1046 2022-09-13 21:16:07,019 - mmseg - INFO - Iter [76750/80000] lr: 5.835e-08, eta: 1:44:48, time: 1.877, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7380, decode.loss_mask: 0.7240, decode.loss_dice: 1.1281, decode.d0.loss_cls: 2.4901, decode.d0.loss_mask: 0.7525, decode.d0.loss_dice: 1.3301, decode.d1.loss_cls: 0.8293, decode.d1.loss_mask: 0.7594, decode.d1.loss_dice: 1.2341, decode.d2.loss_cls: 0.7701, decode.d2.loss_mask: 0.7461, decode.d2.loss_dice: 1.1807, decode.d3.loss_cls: 0.7610, decode.d3.loss_mask: 0.7367, decode.d3.loss_dice: 1.1542, decode.d4.loss_cls: 0.7552, decode.d4.loss_mask: 0.7303, decode.d4.loss_dice: 1.1502, decode.d5.loss_cls: 0.7465, decode.d5.loss_mask: 0.7266, decode.d5.loss_dice: 1.1399, decode.d6.loss_cls: 0.7438, decode.d6.loss_mask: 0.7249, decode.d6.loss_dice: 1.1248, decode.d7.loss_cls: 0.7387, decode.d7.loss_mask: 0.7276, decode.d7.loss_dice: 1.1269, decode.d8.loss_cls: 0.7403, decode.d8.loss_mask: 0.7230, decode.d8.loss_dice: 1.1263, loss: 28.3595 2022-09-13 21:17:41,905 - mmseg - INFO - Iter [76800/80000] lr: 5.745e-08, eta: 1:43:11, time: 1.898, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7067, decode.loss_mask: 0.7421, decode.loss_dice: 1.1263, decode.d0.loss_cls: 2.4112, decode.d0.loss_mask: 0.7728, decode.d0.loss_dice: 1.3036, decode.d1.loss_cls: 0.7855, decode.d1.loss_mask: 0.7766, decode.d1.loss_dice: 1.2314, decode.d2.loss_cls: 0.7388, decode.d2.loss_mask: 0.7622, decode.d2.loss_dice: 1.1812, decode.d3.loss_cls: 0.7244, decode.d3.loss_mask: 0.7562, decode.d3.loss_dice: 1.1465, decode.d4.loss_cls: 0.7167, decode.d4.loss_mask: 0.7505, decode.d4.loss_dice: 1.1422, decode.d5.loss_cls: 0.7133, decode.d5.loss_mask: 0.7489, decode.d5.loss_dice: 1.1388, decode.d6.loss_cls: 0.7092, decode.d6.loss_mask: 0.7447, decode.d6.loss_dice: 1.1294, decode.d7.loss_cls: 0.7106, decode.d7.loss_mask: 0.7442, decode.d7.loss_dice: 1.1278, decode.d8.loss_cls: 0.7090, decode.d8.loss_mask: 0.7406, decode.d8.loss_dice: 1.1253, loss: 28.1168 2022-09-13 21:19:15,741 - mmseg - INFO - Iter [76850/80000] lr: 5.655e-08, eta: 1:41:34, time: 1.877, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7118, decode.loss_mask: 0.7367, decode.loss_dice: 1.1362, decode.d0.loss_cls: 2.4527, decode.d0.loss_mask: 0.7646, decode.d0.loss_dice: 1.3254, decode.d1.loss_cls: 0.8026, decode.d1.loss_mask: 0.7759, decode.d1.loss_dice: 1.2319, decode.d2.loss_cls: 0.7485, decode.d2.loss_mask: 0.7581, decode.d2.loss_dice: 1.1879, decode.d3.loss_cls: 0.7343, decode.d3.loss_mask: 0.7492, decode.d3.loss_dice: 1.1555, decode.d4.loss_cls: 0.7245, decode.d4.loss_mask: 0.7471, decode.d4.loss_dice: 1.1502, decode.d5.loss_cls: 0.7134, decode.d5.loss_mask: 0.7490, decode.d5.loss_dice: 1.1549, decode.d6.loss_cls: 0.7170, decode.d6.loss_mask: 0.7424, decode.d6.loss_dice: 1.1395, decode.d7.loss_cls: 0.7160, decode.d7.loss_mask: 0.7398, decode.d7.loss_dice: 1.1441, decode.d8.loss_cls: 0.7129, decode.d8.loss_mask: 0.7397, decode.d8.loss_dice: 1.1364, loss: 28.2983 2022-09-13 21:20:49,983 - mmseg - INFO - Iter [76900/80000] lr: 5.566e-08, eta: 1:39:57, time: 1.884, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7636, decode.loss_mask: 0.7306, decode.loss_dice: 1.1591, decode.d0.loss_cls: 2.4728, decode.d0.loss_mask: 0.7596, decode.d0.loss_dice: 1.3534, decode.d1.loss_cls: 0.8597, decode.d1.loss_mask: 0.7656, decode.d1.loss_dice: 1.2518, decode.d2.loss_cls: 0.7999, decode.d2.loss_mask: 0.7514, decode.d2.loss_dice: 1.2021, decode.d3.loss_cls: 0.7841, decode.d3.loss_mask: 0.7413, decode.d3.loss_dice: 1.1778, decode.d4.loss_cls: 0.7800, decode.d4.loss_mask: 0.7368, decode.d4.loss_dice: 1.1761, decode.d5.loss_cls: 0.7712, decode.d5.loss_mask: 0.7348, decode.d5.loss_dice: 1.1734, decode.d6.loss_cls: 0.7664, decode.d6.loss_mask: 0.7283, decode.d6.loss_dice: 1.1549, decode.d7.loss_cls: 0.7639, decode.d7.loss_mask: 0.7271, decode.d7.loss_dice: 1.1566, decode.d8.loss_cls: 0.7649, decode.d8.loss_mask: 0.7304, decode.d8.loss_dice: 1.1597, loss: 28.8972 2022-09-13 21:22:23,860 - mmseg - INFO - Iter [76950/80000] lr: 5.476e-08, eta: 1:38:20, time: 1.879, data_time: 0.014, memory: 42763, decode.loss_cls: 0.6995, decode.loss_mask: 0.7592, decode.loss_dice: 1.1373, decode.d0.loss_cls: 2.3988, decode.d0.loss_mask: 0.7907, decode.d0.loss_dice: 1.3101, decode.d1.loss_cls: 0.7808, decode.d1.loss_mask: 0.7962, decode.d1.loss_dice: 1.2303, decode.d2.loss_cls: 0.7389, decode.d2.loss_mask: 0.7760, decode.d2.loss_dice: 1.1750, decode.d3.loss_cls: 0.7240, decode.d3.loss_mask: 0.7732, decode.d3.loss_dice: 1.1607, decode.d4.loss_cls: 0.7146, decode.d4.loss_mask: 0.7733, decode.d4.loss_dice: 1.1602, decode.d5.loss_cls: 0.7078, decode.d5.loss_mask: 0.7707, decode.d5.loss_dice: 1.1490, decode.d6.loss_cls: 0.7070, decode.d6.loss_mask: 0.7617, decode.d6.loss_dice: 1.1419, decode.d7.loss_cls: 0.7026, decode.d7.loss_mask: 0.7606, decode.d7.loss_dice: 1.1374, decode.d8.loss_cls: 0.7021, decode.d8.loss_mask: 0.7613, decode.d8.loss_dice: 1.1389, loss: 28.3399 2022-09-13 21:23:58,700 - mmseg - INFO - Saving checkpoint at 77000 iterations 2022-09-13 21:24:30,541 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 21:24:30,551 - mmseg - INFO - Iter [77000/80000] lr: 5.386e-08, eta: 1:36:45, time: 2.531, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7358, decode.loss_mask: 0.7422, decode.loss_dice: 1.1261, decode.d0.loss_cls: 2.4557, decode.d0.loss_mask: 0.7591, decode.d0.loss_dice: 1.3108, decode.d1.loss_cls: 0.8189, decode.d1.loss_mask: 0.7722, decode.d1.loss_dice: 1.2263, decode.d2.loss_cls: 0.7666, decode.d2.loss_mask: 0.7619, decode.d2.loss_dice: 1.1754, decode.d3.loss_cls: 0.7519, decode.d3.loss_mask: 0.7491, decode.d3.loss_dice: 1.1566, decode.d4.loss_cls: 0.7358, decode.d4.loss_mask: 0.7485, decode.d4.loss_dice: 1.1566, decode.d5.loss_cls: 0.7368, decode.d5.loss_mask: 0.7446, decode.d5.loss_dice: 1.1483, decode.d6.loss_cls: 0.7375, decode.d6.loss_mask: 0.7388, decode.d6.loss_dice: 1.1354, decode.d7.loss_cls: 0.7322, decode.d7.loss_mask: 0.7428, decode.d7.loss_dice: 1.1360, decode.d8.loss_cls: 0.7323, decode.d8.loss_mask: 0.7399, decode.d8.loss_dice: 1.1328, loss: 28.4071 2022-09-13 21:26:07,600 - mmseg - INFO - Iter [77050/80000] lr: 5.296e-08, eta: 1:35:08, time: 1.944, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7252, decode.loss_mask: 0.7297, decode.loss_dice: 1.1360, decode.d0.loss_cls: 2.4540, decode.d0.loss_mask: 0.7412, decode.d0.loss_dice: 1.3183, decode.d1.loss_cls: 0.8229, decode.d1.loss_mask: 0.7636, decode.d1.loss_dice: 1.2354, decode.d2.loss_cls: 0.7665, decode.d2.loss_mask: 0.7441, decode.d2.loss_dice: 1.1856, decode.d3.loss_cls: 0.7577, decode.d3.loss_mask: 0.7375, decode.d3.loss_dice: 1.1621, decode.d4.loss_cls: 0.7439, decode.d4.loss_mask: 0.7350, decode.d4.loss_dice: 1.1634, decode.d5.loss_cls: 0.7402, decode.d5.loss_mask: 0.7339, decode.d5.loss_dice: 1.1522, decode.d6.loss_cls: 0.7359, decode.d6.loss_mask: 0.7317, decode.d6.loss_dice: 1.1426, decode.d7.loss_cls: 0.7294, decode.d7.loss_mask: 0.7305, decode.d7.loss_dice: 1.1406, decode.d8.loss_cls: 0.7314, decode.d8.loss_mask: 0.7321, decode.d8.loss_dice: 1.1395, loss: 28.3623 2022-09-13 21:27:41,550 - mmseg - INFO - Iter [77100/80000] lr: 5.207e-08, eta: 1:33:31, time: 1.879, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7130, decode.loss_mask: 0.7632, decode.loss_dice: 1.1244, decode.d0.loss_cls: 2.4252, decode.d0.loss_mask: 0.7892, decode.d0.loss_dice: 1.3146, decode.d1.loss_cls: 0.8073, decode.d1.loss_mask: 0.7942, decode.d1.loss_dice: 1.2253, decode.d2.loss_cls: 0.7629, decode.d2.loss_mask: 0.7816, decode.d2.loss_dice: 1.1732, decode.d3.loss_cls: 0.7360, decode.d3.loss_mask: 0.7714, decode.d3.loss_dice: 1.1490, decode.d4.loss_cls: 0.7331, decode.d4.loss_mask: 0.7692, decode.d4.loss_dice: 1.1519, decode.d5.loss_cls: 0.7176, decode.d5.loss_mask: 0.7700, decode.d5.loss_dice: 1.1396, decode.d6.loss_cls: 0.7191, decode.d6.loss_mask: 0.7662, decode.d6.loss_dice: 1.1336, decode.d7.loss_cls: 0.7078, decode.d7.loss_mask: 0.7650, decode.d7.loss_dice: 1.1300, decode.d8.loss_cls: 0.7103, decode.d8.loss_mask: 0.7671, decode.d8.loss_dice: 1.1298, loss: 28.4411 2022-09-13 21:29:15,709 - mmseg - INFO - Iter [77150/80000] lr: 5.117e-08, eta: 1:31:54, time: 1.883, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7356, decode.loss_mask: 0.7207, decode.loss_dice: 1.1320, decode.d0.loss_cls: 2.4492, decode.d0.loss_mask: 0.7446, decode.d0.loss_dice: 1.3157, decode.d1.loss_cls: 0.8157, decode.d1.loss_mask: 0.7612, decode.d1.loss_dice: 1.2293, decode.d2.loss_cls: 0.7707, decode.d2.loss_mask: 0.7414, decode.d2.loss_dice: 1.1760, decode.d3.loss_cls: 0.7650, decode.d3.loss_mask: 0.7299, decode.d3.loss_dice: 1.1515, decode.d4.loss_cls: 0.7496, decode.d4.loss_mask: 0.7300, decode.d4.loss_dice: 1.1485, decode.d5.loss_cls: 0.7468, decode.d5.loss_mask: 0.7261, decode.d5.loss_dice: 1.1416, decode.d6.loss_cls: 0.7399, decode.d6.loss_mask: 0.7211, decode.d6.loss_dice: 1.1306, decode.d7.loss_cls: 0.7393, decode.d7.loss_mask: 0.7210, decode.d7.loss_dice: 1.1290, decode.d8.loss_cls: 0.7405, decode.d8.loss_mask: 0.7197, decode.d8.loss_dice: 1.1311, loss: 28.2535 2022-09-13 21:30:49,867 - mmseg - INFO - Iter [77200/80000] lr: 5.027e-08, eta: 1:30:17, time: 1.883, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7048, decode.loss_mask: 0.7389, decode.loss_dice: 1.1388, decode.d0.loss_cls: 2.4102, decode.d0.loss_mask: 0.7594, decode.d0.loss_dice: 1.3145, decode.d1.loss_cls: 0.7939, decode.d1.loss_mask: 0.7707, decode.d1.loss_dice: 1.2260, decode.d2.loss_cls: 0.7431, decode.d2.loss_mask: 0.7580, decode.d2.loss_dice: 1.1872, decode.d3.loss_cls: 0.7242, decode.d3.loss_mask: 0.7492, decode.d3.loss_dice: 1.1618, decode.d4.loss_cls: 0.7154, decode.d4.loss_mask: 0.7490, decode.d4.loss_dice: 1.1548, decode.d5.loss_cls: 0.7107, decode.d5.loss_mask: 0.7456, decode.d5.loss_dice: 1.1537, decode.d6.loss_cls: 0.7009, decode.d6.loss_mask: 0.7386, decode.d6.loss_dice: 1.1450, decode.d7.loss_cls: 0.7069, decode.d7.loss_mask: 0.7422, decode.d7.loss_dice: 1.1453, decode.d8.loss_cls: 0.7013, decode.d8.loss_mask: 0.7426, decode.d8.loss_dice: 1.1399, loss: 28.1725 2022-09-13 21:32:23,466 - mmseg - INFO - Iter [77250/80000] lr: 4.937e-08, eta: 1:28:41, time: 1.872, data_time: 0.012, memory: 42763, decode.loss_cls: 0.6831, decode.loss_mask: 0.7523, decode.loss_dice: 1.0989, decode.d0.loss_cls: 2.3911, decode.d0.loss_mask: 0.7757, decode.d0.loss_dice: 1.2755, decode.d1.loss_cls: 0.7629, decode.d1.loss_mask: 0.7843, decode.d1.loss_dice: 1.1933, decode.d2.loss_cls: 0.7199, decode.d2.loss_mask: 0.7654, decode.d2.loss_dice: 1.1426, decode.d3.loss_cls: 0.7134, decode.d3.loss_mask: 0.7595, decode.d3.loss_dice: 1.1166, decode.d4.loss_cls: 0.6990, decode.d4.loss_mask: 0.7591, decode.d4.loss_dice: 1.1199, decode.d5.loss_cls: 0.6933, decode.d5.loss_mask: 0.7581, decode.d5.loss_dice: 1.1144, decode.d6.loss_cls: 0.6916, decode.d6.loss_mask: 0.7518, decode.d6.loss_dice: 1.0998, decode.d7.loss_cls: 0.6851, decode.d7.loss_mask: 0.7529, decode.d7.loss_dice: 1.1040, decode.d8.loss_cls: 0.6832, decode.d8.loss_mask: 0.7519, decode.d8.loss_dice: 1.1039, loss: 27.7027 2022-09-13 21:33:57,952 - mmseg - INFO - Iter [77300/80000] lr: 4.848e-08, eta: 1:27:04, time: 1.890, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7409, decode.loss_mask: 0.7478, decode.loss_dice: 1.1454, decode.d0.loss_cls: 2.4934, decode.d0.loss_mask: 0.7755, decode.d0.loss_dice: 1.3425, decode.d1.loss_cls: 0.8467, decode.d1.loss_mask: 0.7803, decode.d1.loss_dice: 1.2440, decode.d2.loss_cls: 0.7795, decode.d2.loss_mask: 0.7634, decode.d2.loss_dice: 1.1923, decode.d3.loss_cls: 0.7652, decode.d3.loss_mask: 0.7575, decode.d3.loss_dice: 1.1698, decode.d4.loss_cls: 0.7554, decode.d4.loss_mask: 0.7562, decode.d4.loss_dice: 1.1671, decode.d5.loss_cls: 0.7481, decode.d5.loss_mask: 0.7537, decode.d5.loss_dice: 1.1580, decode.d6.loss_cls: 0.7450, decode.d6.loss_mask: 0.7495, decode.d6.loss_dice: 1.1466, decode.d7.loss_cls: 0.7411, decode.d7.loss_mask: 0.7482, decode.d7.loss_dice: 1.1466, decode.d8.loss_cls: 0.7408, decode.d8.loss_mask: 0.7473, decode.d8.loss_dice: 1.1437, loss: 28.7917 2022-09-13 21:35:32,988 - mmseg - INFO - Iter [77350/80000] lr: 4.758e-08, eta: 1:25:27, time: 1.901, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7135, decode.loss_mask: 0.7549, decode.loss_dice: 1.1275, decode.d0.loss_cls: 2.4155, decode.d0.loss_mask: 0.7825, decode.d0.loss_dice: 1.3063, decode.d1.loss_cls: 0.7969, decode.d1.loss_mask: 0.7890, decode.d1.loss_dice: 1.2194, decode.d2.loss_cls: 0.7455, decode.d2.loss_mask: 0.7745, decode.d2.loss_dice: 1.1662, decode.d3.loss_cls: 0.7354, decode.d3.loss_mask: 0.7663, decode.d3.loss_dice: 1.1429, decode.d4.loss_cls: 0.7251, decode.d4.loss_mask: 0.7608, decode.d4.loss_dice: 1.1407, decode.d5.loss_cls: 0.7153, decode.d5.loss_mask: 0.7596, decode.d5.loss_dice: 1.1398, decode.d6.loss_cls: 0.7166, decode.d6.loss_mask: 0.7545, decode.d6.loss_dice: 1.1308, decode.d7.loss_cls: 0.7151, decode.d7.loss_mask: 0.7529, decode.d7.loss_dice: 1.1245, decode.d8.loss_cls: 0.7143, decode.d8.loss_mask: 0.7556, decode.d8.loss_dice: 1.1248, loss: 28.2663 2022-09-13 21:37:07,383 - mmseg - INFO - Iter [77400/80000] lr: 4.668e-08, eta: 1:23:50, time: 1.888, data_time: 0.014, memory: 42763, decode.loss_cls: 0.6591, decode.loss_mask: 0.7410, decode.loss_dice: 1.0967, decode.d0.loss_cls: 2.3124, decode.d0.loss_mask: 0.7671, decode.d0.loss_dice: 1.2527, decode.d1.loss_cls: 0.7364, decode.d1.loss_mask: 0.7803, decode.d1.loss_dice: 1.1824, decode.d2.loss_cls: 0.6857, decode.d2.loss_mask: 0.7605, decode.d2.loss_dice: 1.1378, decode.d3.loss_cls: 0.6697, decode.d3.loss_mask: 0.7586, decode.d3.loss_dice: 1.1204, decode.d4.loss_cls: 0.6668, decode.d4.loss_mask: 0.7504, decode.d4.loss_dice: 1.1163, decode.d5.loss_cls: 0.6611, decode.d5.loss_mask: 0.7514, decode.d5.loss_dice: 1.1115, decode.d6.loss_cls: 0.6580, decode.d6.loss_mask: 0.7438, decode.d6.loss_dice: 1.0993, decode.d7.loss_cls: 0.6548, decode.d7.loss_mask: 0.7427, decode.d7.loss_dice: 1.1000, decode.d8.loss_cls: 0.6561, decode.d8.loss_mask: 0.7437, decode.d8.loss_dice: 1.1030, loss: 27.2199 2022-09-13 21:38:42,226 - mmseg - INFO - Iter [77450/80000] lr: 4.578e-08, eta: 1:22:13, time: 1.896, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7305, decode.loss_mask: 0.7319, decode.loss_dice: 1.1580, decode.d0.loss_cls: 2.4965, decode.d0.loss_mask: 0.7504, decode.d0.loss_dice: 1.3403, decode.d1.loss_cls: 0.8183, decode.d1.loss_mask: 0.7656, decode.d1.loss_dice: 1.2551, decode.d2.loss_cls: 0.7732, decode.d2.loss_mask: 0.7497, decode.d2.loss_dice: 1.1988, decode.d3.loss_cls: 0.7524, decode.d3.loss_mask: 0.7392, decode.d3.loss_dice: 1.1794, decode.d4.loss_cls: 0.7464, decode.d4.loss_mask: 0.7334, decode.d4.loss_dice: 1.1724, decode.d5.loss_cls: 0.7427, decode.d5.loss_mask: 0.7383, decode.d5.loss_dice: 1.1666, decode.d6.loss_cls: 0.7347, decode.d6.loss_mask: 0.7349, decode.d6.loss_dice: 1.1590, decode.d7.loss_cls: 0.7324, decode.d7.loss_mask: 0.7332, decode.d7.loss_dice: 1.1612, decode.d8.loss_cls: 0.7342, decode.d8.loss_mask: 0.7296, decode.d8.loss_dice: 1.1541, loss: 28.6123 2022-09-13 21:40:17,728 - mmseg - INFO - Iter [77500/80000] lr: 4.489e-08, eta: 1:20:37, time: 1.911, data_time: 0.014, memory: 42763, decode.loss_cls: 0.6975, decode.loss_mask: 0.7152, decode.loss_dice: 1.1174, decode.d0.loss_cls: 2.4139, decode.d0.loss_mask: 0.7454, decode.d0.loss_dice: 1.3000, decode.d1.loss_cls: 0.7854, decode.d1.loss_mask: 0.7516, decode.d1.loss_dice: 1.2127, decode.d2.loss_cls: 0.7342, decode.d2.loss_mask: 0.7304, decode.d2.loss_dice: 1.1655, decode.d3.loss_cls: 0.7188, decode.d3.loss_mask: 0.7264, decode.d3.loss_dice: 1.1419, decode.d4.loss_cls: 0.7134, decode.d4.loss_mask: 0.7224, decode.d4.loss_dice: 1.1307, decode.d5.loss_cls: 0.7157, decode.d5.loss_mask: 0.7199, decode.d5.loss_dice: 1.1229, decode.d6.loss_cls: 0.7093, decode.d6.loss_mask: 0.7119, decode.d6.loss_dice: 1.1151, decode.d7.loss_cls: 0.7019, decode.d7.loss_mask: 0.7173, decode.d7.loss_dice: 1.1137, decode.d8.loss_cls: 0.6981, decode.d8.loss_mask: 0.7161, decode.d8.loss_dice: 1.1171, loss: 27.6816 2022-09-13 21:41:53,293 - mmseg - INFO - Iter [77550/80000] lr: 4.399e-08, eta: 1:19:00, time: 1.911, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7120, decode.loss_mask: 0.7365, decode.loss_dice: 1.1454, decode.d0.loss_cls: 2.3836, decode.d0.loss_mask: 0.7623, decode.d0.loss_dice: 1.3212, decode.d1.loss_cls: 0.7981, decode.d1.loss_mask: 0.7696, decode.d1.loss_dice: 1.2430, decode.d2.loss_cls: 0.7424, decode.d2.loss_mask: 0.7574, decode.d2.loss_dice: 1.1947, decode.d3.loss_cls: 0.7292, decode.d3.loss_mask: 0.7454, decode.d3.loss_dice: 1.1767, decode.d4.loss_cls: 0.7236, decode.d4.loss_mask: 0.7458, decode.d4.loss_dice: 1.1671, decode.d5.loss_cls: 0.7175, decode.d5.loss_mask: 0.7458, decode.d5.loss_dice: 1.1593, decode.d6.loss_cls: 0.7157, decode.d6.loss_mask: 0.7405, decode.d6.loss_dice: 1.1447, decode.d7.loss_cls: 0.7120, decode.d7.loss_mask: 0.7365, decode.d7.loss_dice: 1.1443, decode.d8.loss_cls: 0.7160, decode.d8.loss_mask: 0.7400, decode.d8.loss_dice: 1.1473, loss: 28.2736 2022-09-13 21:43:26,973 - mmseg - INFO - Iter [77600/80000] lr: 4.309e-08, eta: 1:17:23, time: 1.874, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7419, decode.loss_mask: 0.7180, decode.loss_dice: 1.1261, decode.d0.loss_cls: 2.4785, decode.d0.loss_mask: 0.7505, decode.d0.loss_dice: 1.3073, decode.d1.loss_cls: 0.8238, decode.d1.loss_mask: 0.7578, decode.d1.loss_dice: 1.2256, decode.d2.loss_cls: 0.7685, decode.d2.loss_mask: 0.7379, decode.d2.loss_dice: 1.1758, decode.d3.loss_cls: 0.7541, decode.d3.loss_mask: 0.7227, decode.d3.loss_dice: 1.1502, decode.d4.loss_cls: 0.7490, decode.d4.loss_mask: 0.7204, decode.d4.loss_dice: 1.1441, decode.d5.loss_cls: 0.7385, decode.d5.loss_mask: 0.7199, decode.d5.loss_dice: 1.1379, decode.d6.loss_cls: 0.7376, decode.d6.loss_mask: 0.7186, decode.d6.loss_dice: 1.1264, decode.d7.loss_cls: 0.7326, decode.d7.loss_mask: 0.7184, decode.d7.loss_dice: 1.1287, decode.d8.loss_cls: 0.7371, decode.d8.loss_mask: 0.7164, decode.d8.loss_dice: 1.1257, loss: 28.1899 2022-09-13 21:45:00,807 - mmseg - INFO - Iter [77650/80000] lr: 4.219e-08, eta: 1:15:46, time: 1.877, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7154, decode.loss_mask: 0.7385, decode.loss_dice: 1.1190, decode.d0.loss_cls: 2.4457, decode.d0.loss_mask: 0.7626, decode.d0.loss_dice: 1.3033, decode.d1.loss_cls: 0.8056, decode.d1.loss_mask: 0.7773, decode.d1.loss_dice: 1.2224, decode.d2.loss_cls: 0.7492, decode.d2.loss_mask: 0.7578, decode.d2.loss_dice: 1.1685, decode.d3.loss_cls: 0.7342, decode.d3.loss_mask: 0.7512, decode.d3.loss_dice: 1.1561, decode.d4.loss_cls: 0.7291, decode.d4.loss_mask: 0.7506, decode.d4.loss_dice: 1.1483, decode.d5.loss_cls: 0.7188, decode.d5.loss_mask: 0.7491, decode.d5.loss_dice: 1.1429, decode.d6.loss_cls: 0.7231, decode.d6.loss_mask: 0.7404, decode.d6.loss_dice: 1.1238, decode.d7.loss_cls: 0.7179, decode.d7.loss_mask: 0.7363, decode.d7.loss_dice: 1.1254, decode.d8.loss_cls: 0.7144, decode.d8.loss_mask: 0.7389, decode.d8.loss_dice: 1.1253, loss: 28.1911 2022-09-13 21:46:36,556 - mmseg - INFO - Iter [77700/80000] lr: 4.130e-08, eta: 1:14:09, time: 1.915, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7308, decode.loss_mask: 0.7237, decode.loss_dice: 1.1366, decode.d0.loss_cls: 2.4445, decode.d0.loss_mask: 0.7564, decode.d0.loss_dice: 1.3260, decode.d1.loss_cls: 0.8204, decode.d1.loss_mask: 0.7610, decode.d1.loss_dice: 1.2389, decode.d2.loss_cls: 0.7743, decode.d2.loss_mask: 0.7451, decode.d2.loss_dice: 1.1746, decode.d3.loss_cls: 0.7544, decode.d3.loss_mask: 0.7347, decode.d3.loss_dice: 1.1592, decode.d4.loss_cls: 0.7418, decode.d4.loss_mask: 0.7327, decode.d4.loss_dice: 1.1573, decode.d5.loss_cls: 0.7402, decode.d5.loss_mask: 0.7265, decode.d5.loss_dice: 1.1514, decode.d6.loss_cls: 0.7340, decode.d6.loss_mask: 0.7249, decode.d6.loss_dice: 1.1358, decode.d7.loss_cls: 0.7326, decode.d7.loss_mask: 0.7255, decode.d7.loss_dice: 1.1364, decode.d8.loss_cls: 0.7315, decode.d8.loss_mask: 0.7246, decode.d8.loss_dice: 1.1347, loss: 28.3104 2022-09-13 21:48:11,843 - mmseg - INFO - Iter [77750/80000] lr: 4.040e-08, eta: 1:12:33, time: 1.906, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7359, decode.loss_mask: 0.7413, decode.loss_dice: 1.1578, decode.d0.loss_cls: 2.4336, decode.d0.loss_mask: 0.7652, decode.d0.loss_dice: 1.3433, decode.d1.loss_cls: 0.8267, decode.d1.loss_mask: 0.7720, decode.d1.loss_dice: 1.2600, decode.d2.loss_cls: 0.7625, decode.d2.loss_mask: 0.7609, decode.d2.loss_dice: 1.2071, decode.d3.loss_cls: 0.7554, decode.d3.loss_mask: 0.7529, decode.d3.loss_dice: 1.1841, decode.d4.loss_cls: 0.7460, decode.d4.loss_mask: 0.7515, decode.d4.loss_dice: 1.1748, decode.d5.loss_cls: 0.7357, decode.d5.loss_mask: 0.7481, decode.d5.loss_dice: 1.1702, decode.d6.loss_cls: 0.7361, decode.d6.loss_mask: 0.7440, decode.d6.loss_dice: 1.1550, decode.d7.loss_cls: 0.7336, decode.d7.loss_mask: 0.7426, decode.d7.loss_dice: 1.1613, decode.d8.loss_cls: 0.7316, decode.d8.loss_mask: 0.7417, decode.d8.loss_dice: 1.1595, loss: 28.6903 2022-09-13 21:49:48,055 - mmseg - INFO - Iter [77800/80000] lr: 3.950e-08, eta: 1:10:56, time: 1.924, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7198, decode.loss_mask: 0.7497, decode.loss_dice: 1.1086, decode.d0.loss_cls: 2.4015, decode.d0.loss_mask: 0.7735, decode.d0.loss_dice: 1.3036, decode.d1.loss_cls: 0.8110, decode.d1.loss_mask: 0.7851, decode.d1.loss_dice: 1.2099, decode.d2.loss_cls: 0.7574, decode.d2.loss_mask: 0.7656, decode.d2.loss_dice: 1.1510, decode.d3.loss_cls: 0.7436, decode.d3.loss_mask: 0.7540, decode.d3.loss_dice: 1.1260, decode.d4.loss_cls: 0.7303, decode.d4.loss_mask: 0.7562, decode.d4.loss_dice: 1.1226, decode.d5.loss_cls: 0.7267, decode.d5.loss_mask: 0.7560, decode.d5.loss_dice: 1.1205, decode.d6.loss_cls: 0.7242, decode.d6.loss_mask: 0.7477, decode.d6.loss_dice: 1.1122, decode.d7.loss_cls: 0.7196, decode.d7.loss_mask: 0.7469, decode.d7.loss_dice: 1.1100, decode.d8.loss_cls: 0.7208, decode.d8.loss_mask: 0.7440, decode.d8.loss_dice: 1.1049, loss: 28.1028 2022-09-13 21:51:23,517 - mmseg - INFO - Iter [77850/80000] lr: 3.860e-08, eta: 1:09:19, time: 1.907, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7209, decode.loss_mask: 0.7343, decode.loss_dice: 1.1276, decode.d0.loss_cls: 2.3938, decode.d0.loss_mask: 0.7539, decode.d0.loss_dice: 1.3051, decode.d1.loss_cls: 0.7955, decode.d1.loss_mask: 0.7707, decode.d1.loss_dice: 1.2179, decode.d2.loss_cls: 0.7527, decode.d2.loss_mask: 0.7495, decode.d2.loss_dice: 1.1709, decode.d3.loss_cls: 0.7358, decode.d3.loss_mask: 0.7411, decode.d3.loss_dice: 1.1526, decode.d4.loss_cls: 0.7268, decode.d4.loss_mask: 0.7427, decode.d4.loss_dice: 1.1437, decode.d5.loss_cls: 0.7211, decode.d5.loss_mask: 0.7363, decode.d5.loss_dice: 1.1377, decode.d6.loss_cls: 0.7168, decode.d6.loss_mask: 0.7395, decode.d6.loss_dice: 1.1319, decode.d7.loss_cls: 0.7188, decode.d7.loss_mask: 0.7394, decode.d7.loss_dice: 1.1277, decode.d8.loss_cls: 0.7259, decode.d8.loss_mask: 0.7336, decode.d8.loss_dice: 1.1290, loss: 28.0932 2022-09-13 21:52:58,627 - mmseg - INFO - Iter [77900/80000] lr: 3.771e-08, eta: 1:07:42, time: 1.904, data_time: 0.018, memory: 42763, decode.loss_cls: 0.7541, decode.loss_mask: 0.7399, decode.loss_dice: 1.1522, decode.d0.loss_cls: 2.4635, decode.d0.loss_mask: 0.7722, decode.d0.loss_dice: 1.3500, decode.d1.loss_cls: 0.8379, decode.d1.loss_mask: 0.7734, decode.d1.loss_dice: 1.2512, decode.d2.loss_cls: 0.7857, decode.d2.loss_mask: 0.7586, decode.d2.loss_dice: 1.1947, decode.d3.loss_cls: 0.7807, decode.d3.loss_mask: 0.7446, decode.d3.loss_dice: 1.1732, decode.d4.loss_cls: 0.7709, decode.d4.loss_mask: 0.7454, decode.d4.loss_dice: 1.1651, decode.d5.loss_cls: 0.7554, decode.d5.loss_mask: 0.7432, decode.d5.loss_dice: 1.1639, decode.d6.loss_cls: 0.7516, decode.d6.loss_mask: 0.7379, decode.d6.loss_dice: 1.1511, decode.d7.loss_cls: 0.7548, decode.d7.loss_mask: 0.7397, decode.d7.loss_dice: 1.1518, decode.d8.loss_cls: 0.7492, decode.d8.loss_mask: 0.7414, decode.d8.loss_dice: 1.1537, loss: 28.8069 2022-09-13 21:54:33,884 - mmseg - INFO - Iter [77950/80000] lr: 3.681e-08, eta: 1:06:06, time: 1.905, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7486, decode.loss_mask: 0.7273, decode.loss_dice: 1.0929, decode.d0.loss_cls: 2.4870, decode.d0.loss_mask: 0.7650, decode.d0.loss_dice: 1.2871, decode.d1.loss_cls: 0.8343, decode.d1.loss_mask: 0.7573, decode.d1.loss_dice: 1.1929, decode.d2.loss_cls: 0.7796, decode.d2.loss_mask: 0.7457, decode.d2.loss_dice: 1.1404, decode.d3.loss_cls: 0.7610, decode.d3.loss_mask: 0.7398, decode.d3.loss_dice: 1.1222, decode.d4.loss_cls: 0.7532, decode.d4.loss_mask: 0.7378, decode.d4.loss_dice: 1.1148, decode.d5.loss_cls: 0.7529, decode.d5.loss_mask: 0.7313, decode.d5.loss_dice: 1.1081, decode.d6.loss_cls: 0.7479, decode.d6.loss_mask: 0.7276, decode.d6.loss_dice: 1.0925, decode.d7.loss_cls: 0.7478, decode.d7.loss_mask: 0.7270, decode.d7.loss_dice: 1.0963, decode.d8.loss_cls: 0.7443, decode.d8.loss_mask: 0.7288, decode.d8.loss_dice: 1.0957, loss: 28.0872 2022-09-13 21:56:09,902 - mmseg - INFO - Saving checkpoint at 78000 iterations 2022-09-13 21:56:40,514 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 21:56:40,523 - mmseg - INFO - Iter [78000/80000] lr: 3.591e-08, eta: 1:04:30, time: 2.531, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7193, decode.loss_mask: 0.7244, decode.loss_dice: 1.1301, decode.d0.loss_cls: 2.4688, decode.d0.loss_mask: 0.7487, decode.d0.loss_dice: 1.3240, decode.d1.loss_cls: 0.8155, decode.d1.loss_mask: 0.7541, decode.d1.loss_dice: 1.2365, decode.d2.loss_cls: 0.7592, decode.d2.loss_mask: 0.7377, decode.d2.loss_dice: 1.1686, decode.d3.loss_cls: 0.7409, decode.d3.loss_mask: 0.7315, decode.d3.loss_dice: 1.1581, decode.d4.loss_cls: 0.7357, decode.d4.loss_mask: 0.7255, decode.d4.loss_dice: 1.1451, decode.d5.loss_cls: 0.7214, decode.d5.loss_mask: 0.7274, decode.d5.loss_dice: 1.1419, decode.d6.loss_cls: 0.7233, decode.d6.loss_mask: 0.7204, decode.d6.loss_dice: 1.1367, decode.d7.loss_cls: 0.7170, decode.d7.loss_mask: 0.7215, decode.d7.loss_dice: 1.1355, decode.d8.loss_cls: 0.7242, decode.d8.loss_mask: 0.7220, decode.d8.loss_dice: 1.1295, loss: 28.1444 2022-09-13 21:58:16,415 - mmseg - INFO - Iter [78050/80000] lr: 3.502e-08, eta: 1:02:53, time: 1.920, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7096, decode.loss_mask: 0.7201, decode.loss_dice: 1.1338, decode.d0.loss_cls: 2.3893, decode.d0.loss_mask: 0.7463, decode.d0.loss_dice: 1.3252, decode.d1.loss_cls: 0.7922, decode.d1.loss_mask: 0.7554, decode.d1.loss_dice: 1.2330, decode.d2.loss_cls: 0.7347, decode.d2.loss_mask: 0.7362, decode.d2.loss_dice: 1.1878, decode.d3.loss_cls: 0.7237, decode.d3.loss_mask: 0.7293, decode.d3.loss_dice: 1.1589, decode.d4.loss_cls: 0.7192, decode.d4.loss_mask: 0.7282, decode.d4.loss_dice: 1.1570, decode.d5.loss_cls: 0.7154, decode.d5.loss_mask: 0.7221, decode.d5.loss_dice: 1.1462, decode.d6.loss_cls: 0.7149, decode.d6.loss_mask: 0.7239, decode.d6.loss_dice: 1.1336, decode.d7.loss_cls: 0.7125, decode.d7.loss_mask: 0.7242, decode.d7.loss_dice: 1.1366, decode.d8.loss_cls: 0.7125, decode.d8.loss_mask: 0.7228, decode.d8.loss_dice: 1.1353, loss: 27.9799 2022-09-13 21:59:51,774 - mmseg - INFO - Iter [78100/80000] lr: 3.412e-08, eta: 1:01:16, time: 1.907, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7235, decode.loss_mask: 0.7187, decode.loss_dice: 1.0995, decode.d0.loss_cls: 2.4310, decode.d0.loss_mask: 0.7556, decode.d0.loss_dice: 1.2812, decode.d1.loss_cls: 0.8147, decode.d1.loss_mask: 0.7542, decode.d1.loss_dice: 1.1933, decode.d2.loss_cls: 0.7531, decode.d2.loss_mask: 0.7457, decode.d2.loss_dice: 1.1473, decode.d3.loss_cls: 0.7446, decode.d3.loss_mask: 0.7354, decode.d3.loss_dice: 1.1283, decode.d4.loss_cls: 0.7326, decode.d4.loss_mask: 0.7342, decode.d4.loss_dice: 1.1241, decode.d5.loss_cls: 0.7330, decode.d5.loss_mask: 0.7294, decode.d5.loss_dice: 1.1145, decode.d6.loss_cls: 0.7287, decode.d6.loss_mask: 0.7272, decode.d6.loss_dice: 1.1058, decode.d7.loss_cls: 0.7243, decode.d7.loss_mask: 0.7251, decode.d7.loss_dice: 1.1021, decode.d8.loss_cls: 0.7244, decode.d8.loss_mask: 0.7221, decode.d8.loss_dice: 1.1002, loss: 27.8538 2022-09-13 22:01:26,078 - mmseg - INFO - Iter [78150/80000] lr: 3.322e-08, eta: 0:59:39, time: 1.886, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7209, decode.loss_mask: 0.7536, decode.loss_dice: 1.1325, decode.d0.loss_cls: 2.4282, decode.d0.loss_mask: 0.7731, decode.d0.loss_dice: 1.3115, decode.d1.loss_cls: 0.8110, decode.d1.loss_mask: 0.7750, decode.d1.loss_dice: 1.2294, decode.d2.loss_cls: 0.7574, decode.d2.loss_mask: 0.7667, decode.d2.loss_dice: 1.1797, decode.d3.loss_cls: 0.7340, decode.d3.loss_mask: 0.7554, decode.d3.loss_dice: 1.1520, decode.d4.loss_cls: 0.7305, decode.d4.loss_mask: 0.7537, decode.d4.loss_dice: 1.1526, decode.d5.loss_cls: 0.7253, decode.d5.loss_mask: 0.7566, decode.d5.loss_dice: 1.1420, decode.d6.loss_cls: 0.7225, decode.d6.loss_mask: 0.7511, decode.d6.loss_dice: 1.1359, decode.d7.loss_cls: 0.7210, decode.d7.loss_mask: 0.7535, decode.d7.loss_dice: 1.1325, decode.d8.loss_cls: 0.7192, decode.d8.loss_mask: 0.7523, decode.d8.loss_dice: 1.1382, loss: 28.3670 2022-09-13 22:03:00,858 - mmseg - INFO - Iter [78200/80000] lr: 3.232e-08, eta: 0:58:02, time: 1.896, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7022, decode.loss_mask: 0.7393, decode.loss_dice: 1.1103, decode.d0.loss_cls: 2.4538, decode.d0.loss_mask: 0.7679, decode.d0.loss_dice: 1.2920, decode.d1.loss_cls: 0.7818, decode.d1.loss_mask: 0.7729, decode.d1.loss_dice: 1.2058, decode.d2.loss_cls: 0.7297, decode.d2.loss_mask: 0.7570, decode.d2.loss_dice: 1.1527, decode.d3.loss_cls: 0.7126, decode.d3.loss_mask: 0.7451, decode.d3.loss_dice: 1.1307, decode.d4.loss_cls: 0.7106, decode.d4.loss_mask: 0.7462, decode.d4.loss_dice: 1.1289, decode.d5.loss_cls: 0.6997, decode.d5.loss_mask: 0.7427, decode.d5.loss_dice: 1.1186, decode.d6.loss_cls: 0.7004, decode.d6.loss_mask: 0.7414, decode.d6.loss_dice: 1.1062, decode.d7.loss_cls: 0.6972, decode.d7.loss_mask: 0.7413, decode.d7.loss_dice: 1.1093, decode.d8.loss_cls: 0.6959, decode.d8.loss_mask: 0.7356, decode.d8.loss_dice: 1.1090, loss: 27.8369 2022-09-13 22:04:35,384 - mmseg - INFO - Iter [78250/80000] lr: 3.143e-08, eta: 0:56:26, time: 1.891, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7069, decode.loss_mask: 0.7312, decode.loss_dice: 1.1193, decode.d0.loss_cls: 2.4040, decode.d0.loss_mask: 0.7494, decode.d0.loss_dice: 1.3048, decode.d1.loss_cls: 0.7980, decode.d1.loss_mask: 0.7671, decode.d1.loss_dice: 1.2172, decode.d2.loss_cls: 0.7407, decode.d2.loss_mask: 0.7507, decode.d2.loss_dice: 1.1619, decode.d3.loss_cls: 0.7239, decode.d3.loss_mask: 0.7431, decode.d3.loss_dice: 1.1403, decode.d4.loss_cls: 0.7238, decode.d4.loss_mask: 0.7407, decode.d4.loss_dice: 1.1399, decode.d5.loss_cls: 0.7147, decode.d5.loss_mask: 0.7386, decode.d5.loss_dice: 1.1305, decode.d6.loss_cls: 0.7092, decode.d6.loss_mask: 0.7363, decode.d6.loss_dice: 1.1242, decode.d7.loss_cls: 0.7112, decode.d7.loss_mask: 0.7319, decode.d7.loss_dice: 1.1150, decode.d8.loss_cls: 0.7056, decode.d8.loss_mask: 0.7312, decode.d8.loss_dice: 1.1165, loss: 27.9281 2022-09-13 22:06:10,462 - mmseg - INFO - Iter [78300/80000] lr: 3.053e-08, eta: 0:54:49, time: 1.902, data_time: 0.015, memory: 42763, decode.loss_cls: 0.6966, decode.loss_mask: 0.7503, decode.loss_dice: 1.1371, decode.d0.loss_cls: 2.4270, decode.d0.loss_mask: 0.7712, decode.d0.loss_dice: 1.2917, decode.d1.loss_cls: 0.7796, decode.d1.loss_mask: 0.7866, decode.d1.loss_dice: 1.2283, decode.d2.loss_cls: 0.7354, decode.d2.loss_mask: 0.7687, decode.d2.loss_dice: 1.1848, decode.d3.loss_cls: 0.7263, decode.d3.loss_mask: 0.7599, decode.d3.loss_dice: 1.1571, decode.d4.loss_cls: 0.7186, decode.d4.loss_mask: 0.7567, decode.d4.loss_dice: 1.1505, decode.d5.loss_cls: 0.7126, decode.d5.loss_mask: 0.7541, decode.d5.loss_dice: 1.1468, decode.d6.loss_cls: 0.7061, decode.d6.loss_mask: 0.7515, decode.d6.loss_dice: 1.1409, decode.d7.loss_cls: 0.7068, decode.d7.loss_mask: 0.7477, decode.d7.loss_dice: 1.1384, decode.d8.loss_cls: 0.6978, decode.d8.loss_mask: 0.7513, decode.d8.loss_dice: 1.1396, loss: 28.2201 2022-09-13 22:07:46,534 - mmseg - INFO - Iter [78350/80000] lr: 2.963e-08, eta: 0:53:12, time: 1.921, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7244, decode.loss_mask: 0.7529, decode.loss_dice: 1.1363, decode.d0.loss_cls: 2.4020, decode.d0.loss_mask: 0.7795, decode.d0.loss_dice: 1.3116, decode.d1.loss_cls: 0.8085, decode.d1.loss_mask: 0.7851, decode.d1.loss_dice: 1.2267, decode.d2.loss_cls: 0.7558, decode.d2.loss_mask: 0.7691, decode.d2.loss_dice: 1.1762, decode.d3.loss_cls: 0.7476, decode.d3.loss_mask: 0.7670, decode.d3.loss_dice: 1.1581, decode.d4.loss_cls: 0.7503, decode.d4.loss_mask: 0.7604, decode.d4.loss_dice: 1.1492, decode.d5.loss_cls: 0.7318, decode.d5.loss_mask: 0.7580, decode.d5.loss_dice: 1.1501, decode.d6.loss_cls: 0.7311, decode.d6.loss_mask: 0.7584, decode.d6.loss_dice: 1.1408, decode.d7.loss_cls: 0.7249, decode.d7.loss_mask: 0.7544, decode.d7.loss_dice: 1.1390, decode.d8.loss_cls: 0.7285, decode.d8.loss_mask: 0.7538, decode.d8.loss_dice: 1.1329, loss: 28.4646 2022-09-13 22:09:20,201 - mmseg - INFO - Iter [78400/80000] lr: 2.873e-08, eta: 0:51:35, time: 1.873, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7290, decode.loss_mask: 0.7227, decode.loss_dice: 1.1313, decode.d0.loss_cls: 2.4291, decode.d0.loss_mask: 0.7517, decode.d0.loss_dice: 1.3139, decode.d1.loss_cls: 0.8134, decode.d1.loss_mask: 0.7541, decode.d1.loss_dice: 1.2288, decode.d2.loss_cls: 0.7573, decode.d2.loss_mask: 0.7404, decode.d2.loss_dice: 1.1767, decode.d3.loss_cls: 0.7485, decode.d3.loss_mask: 0.7292, decode.d3.loss_dice: 1.1590, decode.d4.loss_cls: 0.7417, decode.d4.loss_mask: 0.7265, decode.d4.loss_dice: 1.1498, decode.d5.loss_cls: 0.7374, decode.d5.loss_mask: 0.7268, decode.d5.loss_dice: 1.1511, decode.d6.loss_cls: 0.7343, decode.d6.loss_mask: 0.7236, decode.d6.loss_dice: 1.1371, decode.d7.loss_cls: 0.7325, decode.d7.loss_mask: 0.7193, decode.d7.loss_dice: 1.1372, decode.d8.loss_cls: 0.7263, decode.d8.loss_mask: 0.7239, decode.d8.loss_dice: 1.1389, loss: 28.1914 2022-09-13 22:10:56,040 - mmseg - INFO - Iter [78450/80000] lr: 2.784e-08, eta: 0:49:58, time: 1.916, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7308, decode.loss_mask: 0.7600, decode.loss_dice: 1.1446, decode.d0.loss_cls: 2.4781, decode.d0.loss_mask: 0.7677, decode.d0.loss_dice: 1.3229, decode.d1.loss_cls: 0.8251, decode.d1.loss_mask: 0.7790, decode.d1.loss_dice: 1.2375, decode.d2.loss_cls: 0.7661, decode.d2.loss_mask: 0.7687, decode.d2.loss_dice: 1.1887, decode.d3.loss_cls: 0.7605, decode.d3.loss_mask: 0.7615, decode.d3.loss_dice: 1.1610, decode.d4.loss_cls: 0.7519, decode.d4.loss_mask: 0.7611, decode.d4.loss_dice: 1.1581, decode.d5.loss_cls: 0.7406, decode.d5.loss_mask: 0.7605, decode.d5.loss_dice: 1.1483, decode.d6.loss_cls: 0.7393, decode.d6.loss_mask: 0.7550, decode.d6.loss_dice: 1.1381, decode.d7.loss_cls: 0.7409, decode.d7.loss_mask: 0.7557, decode.d7.loss_dice: 1.1446, decode.d8.loss_cls: 0.7332, decode.d8.loss_mask: 0.7591, decode.d8.loss_dice: 1.1419, loss: 28.6806 2022-09-13 22:12:30,618 - mmseg - INFO - Iter [78500/80000] lr: 2.694e-08, eta: 0:48:22, time: 1.892, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7152, decode.loss_mask: 0.7339, decode.loss_dice: 1.1310, decode.d0.loss_cls: 2.3919, decode.d0.loss_mask: 0.7641, decode.d0.loss_dice: 1.3071, decode.d1.loss_cls: 0.7998, decode.d1.loss_mask: 0.7736, decode.d1.loss_dice: 1.2251, decode.d2.loss_cls: 0.7453, decode.d2.loss_mask: 0.7587, decode.d2.loss_dice: 1.1759, decode.d3.loss_cls: 0.7330, decode.d3.loss_mask: 0.7500, decode.d3.loss_dice: 1.1566, decode.d4.loss_cls: 0.7212, decode.d4.loss_mask: 0.7479, decode.d4.loss_dice: 1.1547, decode.d5.loss_cls: 0.7170, decode.d5.loss_mask: 0.7452, decode.d5.loss_dice: 1.1500, decode.d6.loss_cls: 0.7158, decode.d6.loss_mask: 0.7392, decode.d6.loss_dice: 1.1357, decode.d7.loss_cls: 0.7125, decode.d7.loss_mask: 0.7375, decode.d7.loss_dice: 1.1394, decode.d8.loss_cls: 0.7144, decode.d8.loss_mask: 0.7356, decode.d8.loss_dice: 1.1374, loss: 28.1643 2022-09-13 22:14:05,941 - mmseg - INFO - Iter [78550/80000] lr: 2.604e-08, eta: 0:46:45, time: 1.906, data_time: 0.014, memory: 42763, decode.loss_cls: 0.6856, decode.loss_mask: 0.7076, decode.loss_dice: 1.0829, decode.d0.loss_cls: 2.3966, decode.d0.loss_mask: 0.7318, decode.d0.loss_dice: 1.2595, decode.d1.loss_cls: 0.7731, decode.d1.loss_mask: 0.7439, decode.d1.loss_dice: 1.1841, decode.d2.loss_cls: 0.7194, decode.d2.loss_mask: 0.7239, decode.d2.loss_dice: 1.1350, decode.d3.loss_cls: 0.7035, decode.d3.loss_mask: 0.7188, decode.d3.loss_dice: 1.1122, decode.d4.loss_cls: 0.6926, decode.d4.loss_mask: 0.7166, decode.d4.loss_dice: 1.1072, decode.d5.loss_cls: 0.6883, decode.d5.loss_mask: 0.7142, decode.d5.loss_dice: 1.1039, decode.d6.loss_cls: 0.6892, decode.d6.loss_mask: 0.7102, decode.d6.loss_dice: 1.0955, decode.d7.loss_cls: 0.6867, decode.d7.loss_mask: 0.7084, decode.d7.loss_dice: 1.0930, decode.d8.loss_cls: 0.6844, decode.d8.loss_mask: 0.7103, decode.d8.loss_dice: 1.0890, loss: 27.1674 2022-09-13 22:15:41,731 - mmseg - INFO - Iter [78600/80000] lr: 2.514e-08, eta: 0:45:08, time: 1.916, data_time: 0.012, memory: 42763, decode.loss_cls: 0.7203, decode.loss_mask: 0.7121, decode.loss_dice: 1.1427, decode.d0.loss_cls: 2.4293, decode.d0.loss_mask: 0.7362, decode.d0.loss_dice: 1.3239, decode.d1.loss_cls: 0.8041, decode.d1.loss_mask: 0.7410, decode.d1.loss_dice: 1.2314, decode.d2.loss_cls: 0.7495, decode.d2.loss_mask: 0.7258, decode.d2.loss_dice: 1.1874, decode.d3.loss_cls: 0.7391, decode.d3.loss_mask: 0.7228, decode.d3.loss_dice: 1.1659, decode.d4.loss_cls: 0.7361, decode.d4.loss_mask: 0.7183, decode.d4.loss_dice: 1.1589, decode.d5.loss_cls: 0.7274, decode.d5.loss_mask: 0.7175, decode.d5.loss_dice: 1.1502, decode.d6.loss_cls: 0.7210, decode.d6.loss_mask: 0.7135, decode.d6.loss_dice: 1.1482, decode.d7.loss_cls: 0.7195, decode.d7.loss_mask: 0.7140, decode.d7.loss_dice: 1.1419, decode.d8.loss_cls: 0.7182, decode.d8.loss_mask: 0.7096, decode.d8.loss_dice: 1.1412, loss: 28.0671 2022-09-13 22:17:16,860 - mmseg - INFO - Iter [78650/80000] lr: 2.425e-08, eta: 0:43:31, time: 1.903, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7016, decode.loss_mask: 0.7383, decode.loss_dice: 1.1246, decode.d0.loss_cls: 2.3618, decode.d0.loss_mask: 0.7627, decode.d0.loss_dice: 1.3052, decode.d1.loss_cls: 0.7753, decode.d1.loss_mask: 0.7871, decode.d1.loss_dice: 1.2249, decode.d2.loss_cls: 0.7306, decode.d2.loss_mask: 0.7626, decode.d2.loss_dice: 1.1763, decode.d3.loss_cls: 0.7195, decode.d3.loss_mask: 0.7502, decode.d3.loss_dice: 1.1465, decode.d4.loss_cls: 0.7129, decode.d4.loss_mask: 0.7480, decode.d4.loss_dice: 1.1429, decode.d5.loss_cls: 0.7073, decode.d5.loss_mask: 0.7495, decode.d5.loss_dice: 1.1365, decode.d6.loss_cls: 0.7027, decode.d6.loss_mask: 0.7407, decode.d6.loss_dice: 1.1248, decode.d7.loss_cls: 0.6962, decode.d7.loss_mask: 0.7440, decode.d7.loss_dice: 1.1328, decode.d8.loss_cls: 0.7031, decode.d8.loss_mask: 0.7376, decode.d8.loss_dice: 1.1249, loss: 27.9712 2022-09-13 22:18:53,547 - mmseg - INFO - Iter [78700/80000] lr: 2.335e-08, eta: 0:41:55, time: 1.934, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7288, decode.loss_mask: 0.7486, decode.loss_dice: 1.1502, decode.d0.loss_cls: 2.4722, decode.d0.loss_mask: 0.7759, decode.d0.loss_dice: 1.3351, decode.d1.loss_cls: 0.8179, decode.d1.loss_mask: 0.7836, decode.d1.loss_dice: 1.2499, decode.d2.loss_cls: 0.7671, decode.d2.loss_mask: 0.7688, decode.d2.loss_dice: 1.1938, decode.d3.loss_cls: 0.7499, decode.d3.loss_mask: 0.7607, decode.d3.loss_dice: 1.1735, decode.d4.loss_cls: 0.7375, decode.d4.loss_mask: 0.7573, decode.d4.loss_dice: 1.1668, decode.d5.loss_cls: 0.7296, decode.d5.loss_mask: 0.7554, decode.d5.loss_dice: 1.1650, decode.d6.loss_cls: 0.7301, decode.d6.loss_mask: 0.7529, decode.d6.loss_dice: 1.1552, decode.d7.loss_cls: 0.7313, decode.d7.loss_mask: 0.7505, decode.d7.loss_dice: 1.1538, decode.d8.loss_cls: 0.7274, decode.d8.loss_mask: 0.7487, decode.d8.loss_dice: 1.1527, loss: 28.6901 2022-09-13 22:20:28,864 - mmseg - INFO - Iter [78750/80000] lr: 2.245e-08, eta: 0:40:18, time: 1.906, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7342, decode.loss_mask: 0.7237, decode.loss_dice: 1.1536, decode.d0.loss_cls: 2.4580, decode.d0.loss_mask: 0.7484, decode.d0.loss_dice: 1.3431, decode.d1.loss_cls: 0.8202, decode.d1.loss_mask: 0.7647, decode.d1.loss_dice: 1.2611, decode.d2.loss_cls: 0.7695, decode.d2.loss_mask: 0.7492, decode.d2.loss_dice: 1.2012, decode.d3.loss_cls: 0.7556, decode.d3.loss_mask: 0.7439, decode.d3.loss_dice: 1.1784, decode.d4.loss_cls: 0.7488, decode.d4.loss_mask: 0.7362, decode.d4.loss_dice: 1.1756, decode.d5.loss_cls: 0.7408, decode.d5.loss_mask: 0.7371, decode.d5.loss_dice: 1.1688, decode.d6.loss_cls: 0.7395, decode.d6.loss_mask: 0.7264, decode.d6.loss_dice: 1.1600, decode.d7.loss_cls: 0.7321, decode.d7.loss_mask: 0.7269, decode.d7.loss_dice: 1.1575, decode.d8.loss_cls: 0.7328, decode.d8.loss_mask: 0.7278, decode.d8.loss_dice: 1.1562, loss: 28.5713 2022-09-13 22:22:04,282 - mmseg - INFO - Iter [78800/80000] lr: 2.155e-08, eta: 0:38:41, time: 1.909, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7280, decode.loss_mask: 0.7390, decode.loss_dice: 1.1316, decode.d0.loss_cls: 2.4143, decode.d0.loss_mask: 0.7762, decode.d0.loss_dice: 1.3173, decode.d1.loss_cls: 0.8148, decode.d1.loss_mask: 0.7762, decode.d1.loss_dice: 1.2274, decode.d2.loss_cls: 0.7584, decode.d2.loss_mask: 0.7583, decode.d2.loss_dice: 1.1742, decode.d3.loss_cls: 0.7417, decode.d3.loss_mask: 0.7548, decode.d3.loss_dice: 1.1566, decode.d4.loss_cls: 0.7388, decode.d4.loss_mask: 0.7471, decode.d4.loss_dice: 1.1516, decode.d5.loss_cls: 0.7371, decode.d5.loss_mask: 0.7440, decode.d5.loss_dice: 1.1409, decode.d6.loss_cls: 0.7288, decode.d6.loss_mask: 0.7426, decode.d6.loss_dice: 1.1388, decode.d7.loss_cls: 0.7266, decode.d7.loss_mask: 0.7382, decode.d7.loss_dice: 1.1414, decode.d8.loss_cls: 0.7256, decode.d8.loss_mask: 0.7409, decode.d8.loss_dice: 1.1354, loss: 28.3469 2022-09-13 22:23:38,706 - mmseg - INFO - Iter [78850/80000] lr: 2.066e-08, eta: 0:37:04, time: 1.888, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7499, decode.loss_mask: 0.7342, decode.loss_dice: 1.1445, decode.d0.loss_cls: 2.4632, decode.d0.loss_mask: 0.7663, decode.d0.loss_dice: 1.3344, decode.d1.loss_cls: 0.8268, decode.d1.loss_mask: 0.7789, decode.d1.loss_dice: 1.2482, decode.d2.loss_cls: 0.7782, decode.d2.loss_mask: 0.7574, decode.d2.loss_dice: 1.1964, decode.d3.loss_cls: 0.7638, decode.d3.loss_mask: 0.7476, decode.d3.loss_dice: 1.1732, decode.d4.loss_cls: 0.7550, decode.d4.loss_mask: 0.7426, decode.d4.loss_dice: 1.1699, decode.d5.loss_cls: 0.7504, decode.d5.loss_mask: 0.7416, decode.d5.loss_dice: 1.1619, decode.d6.loss_cls: 0.7470, decode.d6.loss_mask: 0.7351, decode.d6.loss_dice: 1.1503, decode.d7.loss_cls: 0.7456, decode.d7.loss_mask: 0.7363, decode.d7.loss_dice: 1.1566, decode.d8.loss_cls: 0.7428, decode.d8.loss_mask: 0.7349, decode.d8.loss_dice: 1.1468, loss: 28.6794 2022-09-13 22:25:13,944 - mmseg - INFO - Iter [78900/80000] lr: 1.976e-08, eta: 0:35:28, time: 1.905, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7257, decode.loss_mask: 0.7242, decode.loss_dice: 1.1582, decode.d0.loss_cls: 2.4517, decode.d0.loss_mask: 0.7490, decode.d0.loss_dice: 1.3383, decode.d1.loss_cls: 0.8162, decode.d1.loss_mask: 0.7585, decode.d1.loss_dice: 1.2568, decode.d2.loss_cls: 0.7595, decode.d2.loss_mask: 0.7454, decode.d2.loss_dice: 1.2023, decode.d3.loss_cls: 0.7549, decode.d3.loss_mask: 0.7354, decode.d3.loss_dice: 1.1791, decode.d4.loss_cls: 0.7530, decode.d4.loss_mask: 0.7292, decode.d4.loss_dice: 1.1729, decode.d5.loss_cls: 0.7396, decode.d5.loss_mask: 0.7282, decode.d5.loss_dice: 1.1704, decode.d6.loss_cls: 0.7299, decode.d6.loss_mask: 0.7266, decode.d6.loss_dice: 1.1629, decode.d7.loss_cls: 0.7278, decode.d7.loss_mask: 0.7300, decode.d7.loss_dice: 1.1579, decode.d8.loss_cls: 0.7231, decode.d8.loss_mask: 0.7283, decode.d8.loss_dice: 1.1585, loss: 28.4937 2022-09-13 22:26:47,779 - mmseg - INFO - Iter [78950/80000] lr: 1.886e-08, eta: 0:33:51, time: 1.877, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7438, decode.loss_mask: 0.7197, decode.loss_dice: 1.1188, decode.d0.loss_cls: 2.4751, decode.d0.loss_mask: 0.7441, decode.d0.loss_dice: 1.2957, decode.d1.loss_cls: 0.8205, decode.d1.loss_mask: 0.7573, decode.d1.loss_dice: 1.2207, decode.d2.loss_cls: 0.7812, decode.d2.loss_mask: 0.7348, decode.d2.loss_dice: 1.1633, decode.d3.loss_cls: 0.7675, decode.d3.loss_mask: 0.7299, decode.d3.loss_dice: 1.1424, decode.d4.loss_cls: 0.7651, decode.d4.loss_mask: 0.7306, decode.d4.loss_dice: 1.1437, decode.d5.loss_cls: 0.7554, decode.d5.loss_mask: 0.7274, decode.d5.loss_dice: 1.1314, decode.d6.loss_cls: 0.7498, decode.d6.loss_mask: 0.7228, decode.d6.loss_dice: 1.1221, decode.d7.loss_cls: 0.7460, decode.d7.loss_mask: 0.7217, decode.d7.loss_dice: 1.1243, decode.d8.loss_cls: 0.7428, decode.d8.loss_mask: 0.7216, decode.d8.loss_dice: 1.1208, loss: 28.2403 2022-09-13 22:28:22,737 - mmseg - INFO - Saving checkpoint at 79000 iterations 2022-09-13 22:28:56,673 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 22:28:56,683 - mmseg - INFO - Iter [79000/80000] lr: 1.797e-08, eta: 0:32:15, time: 2.575, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7049, decode.loss_mask: 0.7405, decode.loss_dice: 1.1046, decode.d0.loss_cls: 2.4242, decode.d0.loss_mask: 0.7732, decode.d0.loss_dice: 1.2828, decode.d1.loss_cls: 0.7748, decode.d1.loss_mask: 0.7774, decode.d1.loss_dice: 1.1964, decode.d2.loss_cls: 0.7306, decode.d2.loss_mask: 0.7581, decode.d2.loss_dice: 1.1489, decode.d3.loss_cls: 0.7155, decode.d3.loss_mask: 0.7547, decode.d3.loss_dice: 1.1259, decode.d4.loss_cls: 0.7062, decode.d4.loss_mask: 0.7524, decode.d4.loss_dice: 1.1250, decode.d5.loss_cls: 0.7010, decode.d5.loss_mask: 0.7453, decode.d5.loss_dice: 1.1169, decode.d6.loss_cls: 0.7004, decode.d6.loss_mask: 0.7410, decode.d6.loss_dice: 1.1022, decode.d7.loss_cls: 0.6955, decode.d7.loss_mask: 0.7399, decode.d7.loss_dice: 1.1068, decode.d8.loss_cls: 0.6952, decode.d8.loss_mask: 0.7400, decode.d8.loss_dice: 1.1096, loss: 27.7899 2022-09-13 22:30:31,482 - mmseg - INFO - Iter [79050/80000] lr: 1.707e-08, eta: 0:30:38, time: 1.899, data_time: 0.018, memory: 42763, decode.loss_cls: 0.7123, decode.loss_mask: 0.7434, decode.loss_dice: 1.1445, decode.d0.loss_cls: 2.4094, decode.d0.loss_mask: 0.7709, decode.d0.loss_dice: 1.3267, decode.d1.loss_cls: 0.8002, decode.d1.loss_mask: 0.7833, decode.d1.loss_dice: 1.2461, decode.d2.loss_cls: 0.7542, decode.d2.loss_mask: 0.7685, decode.d2.loss_dice: 1.1922, decode.d3.loss_cls: 0.7330, decode.d3.loss_mask: 0.7621, decode.d3.loss_dice: 1.1771, decode.d4.loss_cls: 0.7282, decode.d4.loss_mask: 0.7548, decode.d4.loss_dice: 1.1678, decode.d5.loss_cls: 0.7236, decode.d5.loss_mask: 0.7547, decode.d5.loss_dice: 1.1600, decode.d6.loss_cls: 0.7180, decode.d6.loss_mask: 0.7478, decode.d6.loss_dice: 1.1509, decode.d7.loss_cls: 0.7136, decode.d7.loss_mask: 0.7447, decode.d7.loss_dice: 1.1454, decode.d8.loss_cls: 0.7119, decode.d8.loss_mask: 0.7448, decode.d8.loss_dice: 1.1454, loss: 28.4354 2022-09-13 22:32:07,296 - mmseg - INFO - Iter [79100/80000] lr: 1.617e-08, eta: 0:29:01, time: 1.916, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7343, decode.loss_mask: 0.7400, decode.loss_dice: 1.1317, decode.d0.loss_cls: 2.4347, decode.d0.loss_mask: 0.7619, decode.d0.loss_dice: 1.3203, decode.d1.loss_cls: 0.8049, decode.d1.loss_mask: 0.7742, decode.d1.loss_dice: 1.2299, decode.d2.loss_cls: 0.7670, decode.d2.loss_mask: 0.7537, decode.d2.loss_dice: 1.1723, decode.d3.loss_cls: 0.7469, decode.d3.loss_mask: 0.7507, decode.d3.loss_dice: 1.1586, decode.d4.loss_cls: 0.7437, decode.d4.loss_mask: 0.7464, decode.d4.loss_dice: 1.1537, decode.d5.loss_cls: 0.7348, decode.d5.loss_mask: 0.7461, decode.d5.loss_dice: 1.1497, decode.d6.loss_cls: 0.7367, decode.d6.loss_mask: 0.7418, decode.d6.loss_dice: 1.1373, decode.d7.loss_cls: 0.7276, decode.d7.loss_mask: 0.7412, decode.d7.loss_dice: 1.1398, decode.d8.loss_cls: 0.7258, decode.d8.loss_mask: 0.7432, decode.d8.loss_dice: 1.1388, loss: 28.3879 2022-09-13 22:33:39,841 - mmseg - INFO - Iter [79150/80000] lr: 1.527e-08, eta: 0:27:24, time: 1.852, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7131, decode.loss_mask: 0.7381, decode.loss_dice: 1.1176, decode.d0.loss_cls: 2.4158, decode.d0.loss_mask: 0.7617, decode.d0.loss_dice: 1.2928, decode.d1.loss_cls: 0.7959, decode.d1.loss_mask: 0.7727, decode.d1.loss_dice: 1.2216, decode.d2.loss_cls: 0.7448, decode.d2.loss_mask: 0.7599, decode.d2.loss_dice: 1.1666, decode.d3.loss_cls: 0.7328, decode.d3.loss_mask: 0.7500, decode.d3.loss_dice: 1.1413, decode.d4.loss_cls: 0.7286, decode.d4.loss_mask: 0.7428, decode.d4.loss_dice: 1.1317, decode.d5.loss_cls: 0.7229, decode.d5.loss_mask: 0.7388, decode.d5.loss_dice: 1.1250, decode.d6.loss_cls: 0.7142, decode.d6.loss_mask: 0.7352, decode.d6.loss_dice: 1.1173, decode.d7.loss_cls: 0.7159, decode.d7.loss_mask: 0.7361, decode.d7.loss_dice: 1.1198, decode.d8.loss_cls: 0.7091, decode.d8.loss_mask: 0.7391, decode.d8.loss_dice: 1.1140, loss: 28.0152 2022-09-13 22:35:13,018 - mmseg - INFO - Iter [79200/80000] lr: 1.438e-08, eta: 0:25:47, time: 1.864, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7197, decode.loss_mask: 0.7007, decode.loss_dice: 1.1293, decode.d0.loss_cls: 2.4422, decode.d0.loss_mask: 0.7236, decode.d0.loss_dice: 1.3250, decode.d1.loss_cls: 0.8141, decode.d1.loss_mask: 0.7348, decode.d1.loss_dice: 1.2282, decode.d2.loss_cls: 0.7583, decode.d2.loss_mask: 0.7214, decode.d2.loss_dice: 1.1725, decode.d3.loss_cls: 0.7529, decode.d3.loss_mask: 0.7124, decode.d3.loss_dice: 1.1475, decode.d4.loss_cls: 0.7464, decode.d4.loss_mask: 0.7063, decode.d4.loss_dice: 1.1458, decode.d5.loss_cls: 0.7348, decode.d5.loss_mask: 0.7008, decode.d5.loss_dice: 1.1377, decode.d6.loss_cls: 0.7318, decode.d6.loss_mask: 0.6954, decode.d6.loss_dice: 1.1269, decode.d7.loss_cls: 0.7273, decode.d7.loss_mask: 0.7000, decode.d7.loss_dice: 1.1270, decode.d8.loss_cls: 0.7246, decode.d8.loss_mask: 0.6985, decode.d8.loss_dice: 1.1256, loss: 27.9117 2022-09-13 22:36:47,339 - mmseg - INFO - Iter [79250/80000] lr: 1.348e-08, eta: 0:24:11, time: 1.885, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7197, decode.loss_mask: 0.7379, decode.loss_dice: 1.1536, decode.d0.loss_cls: 2.4307, decode.d0.loss_mask: 0.7613, decode.d0.loss_dice: 1.3367, decode.d1.loss_cls: 0.8126, decode.d1.loss_mask: 0.7749, decode.d1.loss_dice: 1.2504, decode.d2.loss_cls: 0.7611, decode.d2.loss_mask: 0.7578, decode.d2.loss_dice: 1.2057, decode.d3.loss_cls: 0.7467, decode.d3.loss_mask: 0.7453, decode.d3.loss_dice: 1.1782, decode.d4.loss_cls: 0.7312, decode.d4.loss_mask: 0.7457, decode.d4.loss_dice: 1.1744, decode.d5.loss_cls: 0.7281, decode.d5.loss_mask: 0.7433, decode.d5.loss_dice: 1.1661, decode.d6.loss_cls: 0.7253, decode.d6.loss_mask: 0.7419, decode.d6.loss_dice: 1.1541, decode.d7.loss_cls: 0.7241, decode.d7.loss_mask: 0.7398, decode.d7.loss_dice: 1.1559, decode.d8.loss_cls: 0.7200, decode.d8.loss_mask: 0.7370, decode.d8.loss_dice: 1.1547, loss: 28.5144 2022-09-13 22:38:22,916 - mmseg - INFO - Iter [79300/80000] lr: 1.258e-08, eta: 0:22:34, time: 1.913, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7111, decode.loss_mask: 0.7081, decode.loss_dice: 1.1259, decode.d0.loss_cls: 2.4363, decode.d0.loss_mask: 0.7344, decode.d0.loss_dice: 1.3072, decode.d1.loss_cls: 0.7986, decode.d1.loss_mask: 0.7426, decode.d1.loss_dice: 1.2156, decode.d2.loss_cls: 0.7438, decode.d2.loss_mask: 0.7258, decode.d2.loss_dice: 1.1780, decode.d3.loss_cls: 0.7270, decode.d3.loss_mask: 0.7176, decode.d3.loss_dice: 1.1532, decode.d4.loss_cls: 0.7261, decode.d4.loss_mask: 0.7148, decode.d4.loss_dice: 1.1473, decode.d5.loss_cls: 0.7205, decode.d5.loss_mask: 0.7075, decode.d5.loss_dice: 1.1404, decode.d6.loss_cls: 0.7194, decode.d6.loss_mask: 0.7061, decode.d6.loss_dice: 1.1287, decode.d7.loss_cls: 0.7158, decode.d7.loss_mask: 0.7052, decode.d7.loss_dice: 1.1300, decode.d8.loss_cls: 0.7119, decode.d8.loss_mask: 0.7067, decode.d8.loss_dice: 1.1272, loss: 27.8330 2022-09-13 22:39:58,192 - mmseg - INFO - Iter [79350/80000] lr: 1.168e-08, eta: 0:20:57, time: 1.905, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7243, decode.loss_mask: 0.7443, decode.loss_dice: 1.1548, decode.d0.loss_cls: 2.4489, decode.d0.loss_mask: 0.7569, decode.d0.loss_dice: 1.3183, decode.d1.loss_cls: 0.8102, decode.d1.loss_mask: 0.7771, decode.d1.loss_dice: 1.2429, decode.d2.loss_cls: 0.7609, decode.d2.loss_mask: 0.7608, decode.d2.loss_dice: 1.1980, decode.d3.loss_cls: 0.7505, decode.d3.loss_mask: 0.7568, decode.d3.loss_dice: 1.1742, decode.d4.loss_cls: 0.7425, decode.d4.loss_mask: 0.7502, decode.d4.loss_dice: 1.1747, decode.d5.loss_cls: 0.7388, decode.d5.loss_mask: 0.7479, decode.d5.loss_dice: 1.1645, decode.d6.loss_cls: 0.7347, decode.d6.loss_mask: 0.7401, decode.d6.loss_dice: 1.1576, decode.d7.loss_cls: 0.7281, decode.d7.loss_mask: 0.7402, decode.d7.loss_dice: 1.1583, decode.d8.loss_cls: 0.7281, decode.d8.loss_mask: 0.7398, decode.d8.loss_dice: 1.1533, loss: 28.5775 2022-09-13 22:41:33,349 - mmseg - INFO - Iter [79400/80000] lr: 1.079e-08, eta: 0:19:20, time: 1.903, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7149, decode.loss_mask: 0.7474, decode.loss_dice: 1.1448, decode.d0.loss_cls: 2.4071, decode.d0.loss_mask: 0.7764, decode.d0.loss_dice: 1.3310, decode.d1.loss_cls: 0.7901, decode.d1.loss_mask: 0.7798, decode.d1.loss_dice: 1.2493, decode.d2.loss_cls: 0.7482, decode.d2.loss_mask: 0.7621, decode.d2.loss_dice: 1.1913, decode.d3.loss_cls: 0.7391, decode.d3.loss_mask: 0.7566, decode.d3.loss_dice: 1.1731, decode.d4.loss_cls: 0.7286, decode.d4.loss_mask: 0.7541, decode.d4.loss_dice: 1.1690, decode.d5.loss_cls: 0.7221, decode.d5.loss_mask: 0.7529, decode.d5.loss_dice: 1.1656, decode.d6.loss_cls: 0.7227, decode.d6.loss_mask: 0.7484, decode.d6.loss_dice: 1.1541, decode.d7.loss_cls: 0.7169, decode.d7.loss_mask: 0.7462, decode.d7.loss_dice: 1.1550, decode.d8.loss_cls: 0.7162, decode.d8.loss_mask: 0.7477, decode.d8.loss_dice: 1.1519, loss: 28.4626 2022-09-13 22:43:09,040 - mmseg - INFO - Iter [79450/80000] lr: 9.889e-09, eta: 0:17:44, time: 1.913, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7077, decode.loss_mask: 0.7347, decode.loss_dice: 1.1206, decode.d0.loss_cls: 2.3861, decode.d0.loss_mask: 0.7674, decode.d0.loss_dice: 1.3039, decode.d1.loss_cls: 0.7980, decode.d1.loss_mask: 0.7727, decode.d1.loss_dice: 1.2106, decode.d2.loss_cls: 0.7456, decode.d2.loss_mask: 0.7592, decode.d2.loss_dice: 1.1694, decode.d3.loss_cls: 0.7312, decode.d3.loss_mask: 0.7487, decode.d3.loss_dice: 1.1473, decode.d4.loss_cls: 0.7251, decode.d4.loss_mask: 0.7454, decode.d4.loss_dice: 1.1416, decode.d5.loss_cls: 0.7201, decode.d5.loss_mask: 0.7411, decode.d5.loss_dice: 1.1339, decode.d6.loss_cls: 0.7106, decode.d6.loss_mask: 0.7351, decode.d6.loss_dice: 1.1254, decode.d7.loss_cls: 0.7069, decode.d7.loss_mask: 0.7372, decode.d7.loss_dice: 1.1213, decode.d8.loss_cls: 0.7057, decode.d8.loss_mask: 0.7333, decode.d8.loss_dice: 1.1211, loss: 28.0065 2022-09-13 22:44:43,223 - mmseg - INFO - Iter [79500/80000] lr: 8.992e-09, eta: 0:16:07, time: 1.884, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7271, decode.loss_mask: 0.7160, decode.loss_dice: 1.1058, decode.d0.loss_cls: 2.4536, decode.d0.loss_mask: 0.7495, decode.d0.loss_dice: 1.2853, decode.d1.loss_cls: 0.8135, decode.d1.loss_mask: 0.7482, decode.d1.loss_dice: 1.2014, decode.d2.loss_cls: 0.7683, decode.d2.loss_mask: 0.7314, decode.d2.loss_dice: 1.1465, decode.d3.loss_cls: 0.7539, decode.d3.loss_mask: 0.7270, decode.d3.loss_dice: 1.1232, decode.d4.loss_cls: 0.7442, decode.d4.loss_mask: 0.7221, decode.d4.loss_dice: 1.1253, decode.d5.loss_cls: 0.7369, decode.d5.loss_mask: 0.7226, decode.d5.loss_dice: 1.1184, decode.d6.loss_cls: 0.7383, decode.d6.loss_mask: 0.7189, decode.d6.loss_dice: 1.1060, decode.d7.loss_cls: 0.7275, decode.d7.loss_mask: 0.7191, decode.d7.loss_dice: 1.1115, decode.d8.loss_cls: 0.7280, decode.d8.loss_mask: 0.7166, decode.d8.loss_dice: 1.1014, loss: 27.8878 2022-09-13 22:46:18,065 - mmseg - INFO - Iter [79550/80000] lr: 8.094e-09, eta: 0:14:30, time: 1.897, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7031, decode.loss_mask: 0.7487, decode.loss_dice: 1.1429, decode.d0.loss_cls: 2.3919, decode.d0.loss_mask: 0.7843, decode.d0.loss_dice: 1.3371, decode.d1.loss_cls: 0.7872, decode.d1.loss_mask: 0.7878, decode.d1.loss_dice: 1.2475, decode.d2.loss_cls: 0.7383, decode.d2.loss_mask: 0.7728, decode.d2.loss_dice: 1.1927, decode.d3.loss_cls: 0.7239, decode.d3.loss_mask: 0.7594, decode.d3.loss_dice: 1.1677, decode.d4.loss_cls: 0.7210, decode.d4.loss_mask: 0.7535, decode.d4.loss_dice: 1.1704, decode.d5.loss_cls: 0.7111, decode.d5.loss_mask: 0.7534, decode.d5.loss_dice: 1.1615, decode.d6.loss_cls: 0.7096, decode.d6.loss_mask: 0.7495, decode.d6.loss_dice: 1.1448, decode.d7.loss_cls: 0.7077, decode.d7.loss_mask: 0.7485, decode.d7.loss_dice: 1.1526, decode.d8.loss_cls: 0.7027, decode.d8.loss_mask: 0.7510, decode.d8.loss_dice: 1.1440, loss: 28.3668 2022-09-13 22:47:52,295 - mmseg - INFO - Iter [79600/80000] lr: 7.197e-09, eta: 0:12:53, time: 1.885, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7473, decode.loss_mask: 0.7284, decode.loss_dice: 1.1316, decode.d0.loss_cls: 2.4414, decode.d0.loss_mask: 0.7651, decode.d0.loss_dice: 1.3380, decode.d1.loss_cls: 0.8270, decode.d1.loss_mask: 0.7699, decode.d1.loss_dice: 1.2425, decode.d2.loss_cls: 0.7807, decode.d2.loss_mask: 0.7548, decode.d2.loss_dice: 1.1889, decode.d3.loss_cls: 0.7689, decode.d3.loss_mask: 0.7422, decode.d3.loss_dice: 1.1620, decode.d4.loss_cls: 0.7523, decode.d4.loss_mask: 0.7409, decode.d4.loss_dice: 1.1621, decode.d5.loss_cls: 0.7471, decode.d5.loss_mask: 0.7361, decode.d5.loss_dice: 1.1521, decode.d6.loss_cls: 0.7455, decode.d6.loss_mask: 0.7307, decode.d6.loss_dice: 1.1403, decode.d7.loss_cls: 0.7389, decode.d7.loss_mask: 0.7305, decode.d7.loss_dice: 1.1482, decode.d8.loss_cls: 0.7420, decode.d8.loss_mask: 0.7302, decode.d8.loss_dice: 1.1350, loss: 28.5207 2022-09-13 22:49:27,441 - mmseg - INFO - Iter [79650/80000] lr: 6.300e-09, eta: 0:11:17, time: 1.902, data_time: 0.014, memory: 42763, decode.loss_cls: 0.6997, decode.loss_mask: 0.7294, decode.loss_dice: 1.1263, decode.d0.loss_cls: 2.3784, decode.d0.loss_mask: 0.7468, decode.d0.loss_dice: 1.2941, decode.d1.loss_cls: 0.7899, decode.d1.loss_mask: 0.7643, decode.d1.loss_dice: 1.2171, decode.d2.loss_cls: 0.7303, decode.d2.loss_mask: 0.7470, decode.d2.loss_dice: 1.1681, decode.d3.loss_cls: 0.7173, decode.d3.loss_mask: 0.7410, decode.d3.loss_dice: 1.1483, decode.d4.loss_cls: 0.7122, decode.d4.loss_mask: 0.7370, decode.d4.loss_dice: 1.1429, decode.d5.loss_cls: 0.7040, decode.d5.loss_mask: 0.7347, decode.d5.loss_dice: 1.1340, decode.d6.loss_cls: 0.7007, decode.d6.loss_mask: 0.7289, decode.d6.loss_dice: 1.1201, decode.d7.loss_cls: 0.6973, decode.d7.loss_mask: 0.7310, decode.d7.loss_dice: 1.1278, decode.d8.loss_cls: 0.7002, decode.d8.loss_mask: 0.7257, decode.d8.loss_dice: 1.1215, loss: 27.8160 2022-09-13 22:51:02,627 - mmseg - INFO - Iter [79700/80000] lr: 5.402e-09, eta: 0:09:40, time: 1.904, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7203, decode.loss_mask: 0.7222, decode.loss_dice: 1.1383, decode.d0.loss_cls: 2.4294, decode.d0.loss_mask: 0.7414, decode.d0.loss_dice: 1.3202, decode.d1.loss_cls: 0.8084, decode.d1.loss_mask: 0.7471, decode.d1.loss_dice: 1.2371, decode.d2.loss_cls: 0.7585, decode.d2.loss_mask: 0.7347, decode.d2.loss_dice: 1.1764, decode.d3.loss_cls: 0.7374, decode.d3.loss_mask: 0.7286, decode.d3.loss_dice: 1.1623, decode.d4.loss_cls: 0.7296, decode.d4.loss_mask: 0.7246, decode.d4.loss_dice: 1.1558, decode.d5.loss_cls: 0.7315, decode.d5.loss_mask: 0.7235, decode.d5.loss_dice: 1.1501, decode.d6.loss_cls: 0.7231, decode.d6.loss_mask: 0.7192, decode.d6.loss_dice: 1.1372, decode.d7.loss_cls: 0.7224, decode.d7.loss_mask: 0.7204, decode.d7.loss_dice: 1.1453, decode.d8.loss_cls: 0.7260, decode.d8.loss_mask: 0.7197, decode.d8.loss_dice: 1.1366, loss: 28.1275 2022-09-13 22:52:39,179 - mmseg - INFO - Iter [79750/80000] lr: 4.505e-09, eta: 0:08:03, time: 1.928, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7108, decode.loss_mask: 0.7383, decode.loss_dice: 1.1325, decode.d0.loss_cls: 2.4093, decode.d0.loss_mask: 0.7612, decode.d0.loss_dice: 1.3121, decode.d1.loss_cls: 0.7859, decode.d1.loss_mask: 0.7716, decode.d1.loss_dice: 1.2295, decode.d2.loss_cls: 0.7387, decode.d2.loss_mask: 0.7565, decode.d2.loss_dice: 1.1806, decode.d3.loss_cls: 0.7252, decode.d3.loss_mask: 0.7469, decode.d3.loss_dice: 1.1508, decode.d4.loss_cls: 0.7220, decode.d4.loss_mask: 0.7422, decode.d4.loss_dice: 1.1485, decode.d5.loss_cls: 0.7135, decode.d5.loss_mask: 0.7420, decode.d5.loss_dice: 1.1441, decode.d6.loss_cls: 0.7167, decode.d6.loss_mask: 0.7367, decode.d6.loss_dice: 1.1341, decode.d7.loss_cls: 0.7128, decode.d7.loss_mask: 0.7360, decode.d7.loss_dice: 1.1312, decode.d8.loss_cls: 0.7099, decode.d8.loss_mask: 0.7375, decode.d8.loss_dice: 1.1361, loss: 28.1131 2022-09-13 22:54:13,734 - mmseg - INFO - Iter [79800/80000] lr: 3.607e-09, eta: 0:06:26, time: 1.894, data_time: 0.016, memory: 42763, decode.loss_cls: 0.7253, decode.loss_mask: 0.7469, decode.loss_dice: 1.1585, decode.d0.loss_cls: 2.4214, decode.d0.loss_mask: 0.7699, decode.d0.loss_dice: 1.3306, decode.d1.loss_cls: 0.8117, decode.d1.loss_mask: 0.7760, decode.d1.loss_dice: 1.2432, decode.d2.loss_cls: 0.7506, decode.d2.loss_mask: 0.7675, decode.d2.loss_dice: 1.2011, decode.d3.loss_cls: 0.7426, decode.d3.loss_mask: 0.7581, decode.d3.loss_dice: 1.1802, decode.d4.loss_cls: 0.7313, decode.d4.loss_mask: 0.7553, decode.d4.loss_dice: 1.1763, decode.d5.loss_cls: 0.7274, decode.d5.loss_mask: 0.7545, decode.d5.loss_dice: 1.1727, decode.d6.loss_cls: 0.7289, decode.d6.loss_mask: 0.7488, decode.d6.loss_dice: 1.1605, decode.d7.loss_cls: 0.7194, decode.d7.loss_mask: 0.7501, decode.d7.loss_dice: 1.1618, decode.d8.loss_cls: 0.7280, decode.d8.loss_mask: 0.7430, decode.d8.loss_dice: 1.1556, loss: 28.5970 2022-09-13 22:55:50,136 - mmseg - INFO - Iter [79850/80000] lr: 2.710e-09, eta: 0:04:50, time: 1.928, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7049, decode.loss_mask: 0.7361, decode.loss_dice: 1.1072, decode.d0.loss_cls: 2.3864, decode.d0.loss_mask: 0.7514, decode.d0.loss_dice: 1.2950, decode.d1.loss_cls: 0.7895, decode.d1.loss_mask: 0.7659, decode.d1.loss_dice: 1.1995, decode.d2.loss_cls: 0.7400, decode.d2.loss_mask: 0.7525, decode.d2.loss_dice: 1.1556, decode.d3.loss_cls: 0.7259, decode.d3.loss_mask: 0.7435, decode.d3.loss_dice: 1.1321, decode.d4.loss_cls: 0.7168, decode.d4.loss_mask: 0.7381, decode.d4.loss_dice: 1.1272, decode.d5.loss_cls: 0.7070, decode.d5.loss_mask: 0.7387, decode.d5.loss_dice: 1.1224, decode.d6.loss_cls: 0.7164, decode.d6.loss_mask: 0.7357, decode.d6.loss_dice: 1.1134, decode.d7.loss_cls: 0.7099, decode.d7.loss_mask: 0.7380, decode.d7.loss_dice: 1.1108, decode.d8.loss_cls: 0.7133, decode.d8.loss_mask: 0.7349, decode.d8.loss_dice: 1.1063, loss: 27.8146 2022-09-13 22:57:24,611 - mmseg - INFO - Iter [79900/80000] lr: 1.813e-09, eta: 0:03:13, time: 1.890, data_time: 0.014, memory: 42763, decode.loss_cls: 0.7524, decode.loss_mask: 0.7206, decode.loss_dice: 1.1495, decode.d0.loss_cls: 2.4895, decode.d0.loss_mask: 0.7410, decode.d0.loss_dice: 1.3438, decode.d1.loss_cls: 0.8468, decode.d1.loss_mask: 0.7552, decode.d1.loss_dice: 1.2472, decode.d2.loss_cls: 0.7869, decode.d2.loss_mask: 0.7363, decode.d2.loss_dice: 1.1913, decode.d3.loss_cls: 0.7712, decode.d3.loss_mask: 0.7292, decode.d3.loss_dice: 1.1701, decode.d4.loss_cls: 0.7658, decode.d4.loss_mask: 0.7286, decode.d4.loss_dice: 1.1694, decode.d5.loss_cls: 0.7564, decode.d5.loss_mask: 0.7234, decode.d5.loss_dice: 1.1612, decode.d6.loss_cls: 0.7590, decode.d6.loss_mask: 0.7203, decode.d6.loss_dice: 1.1498, decode.d7.loss_cls: 0.7511, decode.d7.loss_mask: 0.7186, decode.d7.loss_dice: 1.1501, decode.d8.loss_cls: 0.7531, decode.d8.loss_mask: 0.7197, decode.d8.loss_dice: 1.1550, loss: 28.6124 2022-09-13 22:58:58,548 - mmseg - INFO - Iter [79950/80000] lr: 9.153e-10, eta: 0:01:36, time: 1.879, data_time: 0.015, memory: 42763, decode.loss_cls: 0.7324, decode.loss_mask: 0.7301, decode.loss_dice: 1.1354, decode.d0.loss_cls: 2.4377, decode.d0.loss_mask: 0.7567, decode.d0.loss_dice: 1.3245, decode.d1.loss_cls: 0.8150, decode.d1.loss_mask: 0.7714, decode.d1.loss_dice: 1.2288, decode.d2.loss_cls: 0.7624, decode.d2.loss_mask: 0.7533, decode.d2.loss_dice: 1.1777, decode.d3.loss_cls: 0.7492, decode.d3.loss_mask: 0.7432, decode.d3.loss_dice: 1.1577, decode.d4.loss_cls: 0.7411, decode.d4.loss_mask: 0.7363, decode.d4.loss_dice: 1.1504, decode.d5.loss_cls: 0.7346, decode.d5.loss_mask: 0.7369, decode.d5.loss_dice: 1.1508, decode.d6.loss_cls: 0.7313, decode.d6.loss_mask: 0.7319, decode.d6.loss_dice: 1.1425, decode.d7.loss_cls: 0.7243, decode.d7.loss_mask: 0.7352, decode.d7.loss_dice: 1.1410, decode.d8.loss_cls: 0.7283, decode.d8.loss_mask: 0.7317, decode.d8.loss_dice: 1.1413, loss: 28.3331 2022-09-13 23:00:34,024 - mmseg - INFO - Saving checkpoint at 80000 iterations 2022-09-13 23:01:05,392 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 23:01:05,400 - mmseg - INFO - Iter [80000/80000] lr: 1.795e-11, eta: 0:00:00, time: 2.534, data_time: 0.013, memory: 42763, decode.loss_cls: 0.7188, decode.loss_mask: 0.7318, decode.loss_dice: 1.1285, decode.d0.loss_cls: 2.4375, decode.d0.loss_mask: 0.7585, decode.d0.loss_dice: 1.3196, decode.d1.loss_cls: 0.8099, decode.d1.loss_mask: 0.7619, decode.d1.loss_dice: 1.2223, decode.d2.loss_cls: 0.7528, decode.d2.loss_mask: 0.7493, decode.d2.loss_dice: 1.1729, decode.d3.loss_cls: 0.7403, decode.d3.loss_mask: 0.7412, decode.d3.loss_dice: 1.1525, decode.d4.loss_cls: 0.7275, decode.d4.loss_mask: 0.7402, decode.d4.loss_dice: 1.1526, decode.d5.loss_cls: 0.7221, decode.d5.loss_mask: 0.7384, decode.d5.loss_dice: 1.1471, decode.d6.loss_cls: 0.7232, decode.d6.loss_mask: 0.7389, decode.d6.loss_dice: 1.1369, decode.d7.loss_cls: 0.7167, decode.d7.loss_mask: 0.7347, decode.d7.loss_dice: 1.1279, decode.d8.loss_cls: 0.7183, decode.d8.loss_mask: 0.7364, decode.d8.loss_dice: 1.1347, loss: 28.1935 2022-09-13 23:05:59,933 - mmseg - INFO - per class results: 2022-09-13 23:05:59,943 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 88.35 | 94.13 | | bicycle | 77.46 | 87.3 | | car | 67.05 | 86.67 | | motorcycle | 86.47 | 91.48 | | airplane | 87.22 | 93.88 | | bus | 86.46 | 90.97 | | train | 83.96 | 95.94 | | truck | 69.07 | 84.32 | | boat | 73.54 | 88.08 | | traffic light | 74.3 | 88.34 | | fire hydrant | 92.24 | 96.37 | | stop sign | 91.21 | 98.47 | | parking meter | 76.73 | 87.4 | | bench | 57.26 | 77.18 | | bird | 84.98 | 92.76 | | cat | 83.08 | 88.46 | | dog | 79.53 | 85.99 | | horse | 84.02 | 95.09 | | sheep | 88.75 | 95.83 | | cow | 87.71 | 91.39 | | elephant | 93.26 | 96.84 | | bear | 93.43 | 96.35 | | zebra | 90.83 | 93.77 | | giraffe | 88.91 | 94.74 | | backpack | 41.34 | 71.36 | | umbrella | 89.72 | 95.03 | | handbag | 43.87 | 72.68 | | tie | 17.14 | 22.2 | | suitcase | 84.28 | 93.95 | | frisbee | 81.44 | 95.46 | | skis | 63.69 | 79.08 | | snowboard | 75.83 | 84.57 | | sports ball | 59.1 | 77.47 | | kite | 78.33 | 86.35 | | baseball bat | 48.33 | 86.79 | | baseball glove | 75.4 | 91.98 | | skateboard | 85.69 | 91.68 | | surfboard | 84.6 | 93.98 | | tennis racket | 88.81 | 94.19 | | bottle | 52.75 | 67.12 | | wine glass | 63.2 | 86.13 | | cup | 60.69 | 82.81 | | fork | 53.8 | 66.63 | | knife | 48.68 | 67.23 | | spoon | 41.74 | 57.65 | | bowl | 49.82 | 72.86 | | banana | 72.67 | 91.58 | | apple | 55.53 | 70.77 | | sandwich | 49.29 | 64.52 | | orange | 75.46 | 80.68 | | broccoli | 54.1 | 66.46 | | carrot | 57.35 | 66.52 | | hot dog | 53.99 | 64.84 | | pizza | 74.23 | 87.76 | | donut | 78.9 | 93.0 | | cake | 72.44 | 82.67 | | chair | 55.08 | 73.18 | | couch | 61.61 | 80.95 | | potted plant | 39.52 | 63.62 | | bed | 69.04 | 86.12 | | dining table | 45.56 | 77.74 | | toilet | 86.76 | 95.14 | | tv | 76.84 | 88.34 | | laptop | 80.91 | 93.2 | | mouse | 81.06 | 90.33 | | remote | 63.86 | 79.36 | | keyboard | 72.38 | 84.8 | | cell phone | 75.93 | 85.66 | | microwave | 73.88 | 83.67 | | oven | 59.39 | 85.89 | | toaster | 78.47 | 88.76 | | sink | 65.28 | 79.86 | | refrigerator | 82.25 | 93.15 | | book | 59.73 | 80.7 | | clock | 74.01 | 82.21 | | vase | 63.84 | 86.5 | | scissors | 82.9 | 93.5 | | teddy bear | 83.05 | 94.14 | | hair drier | 48.49 | 61.39 | | toothbrush | 65.2 | 86.67 | | banner | 35.35 | 71.23 | | blanket | 7.82 | 10.97 | | branch | 24.45 | 41.95 | | bridge | 45.65 | 67.96 | | building-other | 54.84 | 72.68 | | bush | 35.21 | 47.26 | | cabinet | 59.07 | 76.15 | | cage | 21.27 | 31.29 | | cardboard | 49.23 | 60.5 | | carpet | 56.59 | 76.8 | | ceiling-other | 68.32 | 83.32 | | ceiling-tile | 0.1 | 0.11 | | cloth | 5.11 | 5.51 | | clothes | 25.01 | 37.42 | | clouds | 48.34 | 64.25 | | counter | 31.91 | 52.56 | | cupboard | 0.0 | 0.0 | | curtain | 71.83 | 83.91 | | desk-stuff | 47.04 | 63.94 | | dirt | 42.0 | 61.23 | | door-stuff | 48.3 | 73.42 | | fence | 32.81 | 56.69 | | floor-marble | 10.95 | 12.38 | | floor-other | 24.19 | 32.21 | | floor-stone | 5.0 | 6.82 | | floor-tile | 67.55 | 78.47 | | floor-wood | 67.27 | 81.44 | | flower | 39.07 | 53.78 | | fog | 6.34 | 6.61 | | food-other | 28.34 | 33.48 | | fruit | 47.67 | 69.43 | | furniture-other | 22.48 | 32.6 | | grass | 71.75 | 83.59 | | gravel | 34.59 | 51.06 | | ground-other | 7.05 | 9.09 | | hill | 20.92 | 28.45 | | house | 24.93 | 30.57 | | leaves | 30.39 | 40.21 | | light | 42.65 | 61.96 | | mat | 0.28 | 0.28 | | metal | 37.98 | 53.69 | | mirror-stuff | 66.55 | 82.26 | | moss | 0.0 | 0.0 | | mountain | 55.62 | 74.7 | | mud | 6.33 | 12.74 | | napkin | 7.52 | 9.17 | | net | 42.92 | 67.32 | | paper | 34.29 | 46.92 | | pavement | 52.99 | 67.76 | | pillow | 19.63 | 34.92 | | plant-other | 21.95 | 36.68 | | plastic | 27.4 | 36.87 | | platform | 32.65 | 55.05 | | playingfield | 69.75 | 91.43 | | railing | 11.35 | 24.75 | | railroad | 62.98 | 80.43 | | river | 51.83 | 71.22 | | road | 68.14 | 86.94 | | rock | 47.75 | 65.41 | | roof | 24.53 | 32.22 | | rug | 34.54 | 51.35 | | salad | 0.0 | 0.0 | | sand | 67.01 | 72.11 | | sea | 86.03 | 91.73 | | shelf | 39.82 | 51.81 | | sky-other | 71.21 | 86.79 | | skyscraper | 37.22 | 48.61 | | snow | 91.3 | 94.38 | | solid-other | 0.34 | 0.35 | | stairs | 29.68 | 55.4 | | stone | 17.18 | 30.99 | | straw | 34.58 | 47.63 | | structural-other | 0.62 | 0.64 | | table | 19.66 | 24.21 | | tent | 10.72 | 14.58 | | textile-other | 17.87 | 29.34 | | towel | 40.18 | 49.57 | | tree | 74.85 | 86.71 | | vegetable | 43.72 | 54.55 | | wall-brick | 53.01 | 66.63 | | wall-concrete | 63.32 | 79.03 | | wall-other | 22.4 | 36.83 | | wall-panel | 4.86 | 5.95 | | wall-stone | 31.95 | 42.85 | | wall-tile | 72.89 | 86.66 | | wall-wood | 44.07 | 58.87 | | water-other | 29.06 | 44.3 | | waterdrops | 0.0 | 0.0 | | window-blind | 53.06 | 65.09 | | window-other | 51.35 | 73.87 | | wood | 30.94 | 48.1 | +------------------+-------+-------+ 2022-09-13 23:05:59,943 - mmseg - INFO - Summary: 2022-09-13 23:05:59,943 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 73.76 | 52.28 | 64.87 | +-------+-------+-------+ 2022-09-13 23:05:59,984 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_cocostuff164k_ss.py 2022-09-13 23:05:59,984 - mmseg - INFO - Iter(val) [313] aAcc: 0.7376, mIoU: 0.5228, mAcc: 0.6487, IoU.person: 0.8835, IoU.bicycle: 0.7746, IoU.car: 0.6705, IoU.motorcycle: 0.8647, IoU.airplane: 0.8722, IoU.bus: 0.8646, IoU.train: 0.8396, IoU.truck: 0.6907, IoU.boat: 0.7354, IoU.traffic light: 0.7430, IoU.fire hydrant: 0.9224, IoU.stop sign: 0.9121, IoU.parking meter: 0.7673, IoU.bench: 0.5726, IoU.bird: 0.8498, IoU.cat: 0.8308, IoU.dog: 0.7953, IoU.horse: 0.8402, IoU.sheep: 0.8875, IoU.cow: 0.8771, IoU.elephant: 0.9326, IoU.bear: 0.9343, IoU.zebra: 0.9083, IoU.giraffe: 0.8891, IoU.backpack: 0.4134, IoU.umbrella: 0.8972, IoU.handbag: 0.4387, IoU.tie: 0.1714, IoU.suitcase: 0.8428, IoU.frisbee: 0.8144, IoU.skis: 0.6369, IoU.snowboard: 0.7583, IoU.sports ball: 0.5910, IoU.kite: 0.7833, IoU.baseball bat: 0.4833, IoU.baseball glove: 0.7540, IoU.skateboard: 0.8569, IoU.surfboard: 0.8460, IoU.tennis racket: 0.8881, IoU.bottle: 0.5275, IoU.wine glass: 0.6320, IoU.cup: 0.6069, IoU.fork: 0.5380, IoU.knife: 0.4868, IoU.spoon: 0.4174, IoU.bowl: 0.4982, IoU.banana: 0.7267, IoU.apple: 0.5553, IoU.sandwich: 0.4929, IoU.orange: 0.7546, IoU.broccoli: 0.5410, IoU.carrot: 0.5735, IoU.hot dog: 0.5399, IoU.pizza: 0.7423, IoU.donut: 0.7890, IoU.cake: 0.7244, IoU.chair: 0.5508, IoU.couch: 0.6161, IoU.potted plant: 0.3952, IoU.bed: 0.6904, IoU.dining table: 0.4556, IoU.toilet: 0.8676, IoU.tv: 0.7684, IoU.laptop: 0.8091, IoU.mouse: 0.8106, IoU.remote: 0.6386, IoU.keyboard: 0.7238, IoU.cell phone: 0.7593, IoU.microwave: 0.7388, IoU.oven: 0.5939, IoU.toaster: 0.7847, IoU.sink: 0.6528, IoU.refrigerator: 0.8225, IoU.book: 0.5973, IoU.clock: 0.7401, IoU.vase: 0.6384, IoU.scissors: 0.8290, IoU.teddy bear: 0.8305, IoU.hair drier: 0.4849, IoU.toothbrush: 0.6520, IoU.banner: 0.3535, IoU.blanket: 0.0782, IoU.branch: 0.2445, IoU.bridge: 0.4565, IoU.building-other: 0.5484, IoU.bush: 0.3521, IoU.cabinet: 0.5907, IoU.cage: 0.2127, IoU.cardboard: 0.4923, IoU.carpet: 0.5659, IoU.ceiling-other: 0.6832, IoU.ceiling-tile: 0.0010, IoU.cloth: 0.0511, IoU.clothes: 0.2501, IoU.clouds: 0.4834, IoU.counter: 0.3191, IoU.cupboard: 0.0000, IoU.curtain: 0.7183, IoU.desk-stuff: 0.4704, IoU.dirt: 0.4200, IoU.door-stuff: 0.4830, IoU.fence: 0.3281, IoU.floor-marble: 0.1095, IoU.floor-other: 0.2419, IoU.floor-stone: 0.0500, IoU.floor-tile: 0.6755, IoU.floor-wood: 0.6727, IoU.flower: 0.3907, IoU.fog: 0.0634, IoU.food-other: 0.2834, IoU.fruit: 0.4767, IoU.furniture-other: 0.2248, IoU.grass: 0.7175, IoU.gravel: 0.3459, IoU.ground-other: 0.0705, IoU.hill: 0.2092, IoU.house: 0.2493, IoU.leaves: 0.3039, IoU.light: 0.4265, IoU.mat: 0.0028, IoU.metal: 0.3798, IoU.mirror-stuff: 0.6655, IoU.moss: 0.0000, IoU.mountain: 0.5562, IoU.mud: 0.0633, IoU.napkin: 0.0752, IoU.net: 0.4292, IoU.paper: 0.3429, IoU.pavement: 0.5299, IoU.pillow: 0.1963, IoU.plant-other: 0.2195, IoU.plastic: 0.2740, IoU.platform: 0.3265, IoU.playingfield: 0.6975, IoU.railing: 0.1135, IoU.railroad: 0.6298, IoU.river: 0.5183, IoU.road: 0.6814, IoU.rock: 0.4775, IoU.roof: 0.2453, IoU.rug: 0.3454, IoU.salad: 0.0000, IoU.sand: 0.6701, IoU.sea: 0.8603, IoU.shelf: 0.3982, IoU.sky-other: 0.7121, IoU.skyscraper: 0.3722, IoU.snow: 0.9130, IoU.solid-other: 0.0034, IoU.stairs: 0.2968, IoU.stone: 0.1718, IoU.straw: 0.3458, IoU.structural-other: 0.0062, IoU.table: 0.1966, IoU.tent: 0.1072, IoU.textile-other: 0.1787, IoU.towel: 0.4018, IoU.tree: 0.7485, IoU.vegetable: 0.4372, IoU.wall-brick: 0.5301, IoU.wall-concrete: 0.6332, IoU.wall-other: 0.2240, IoU.wall-panel: 0.0486, IoU.wall-stone: 0.3195, IoU.wall-tile: 0.7289, IoU.wall-wood: 0.4407, IoU.water-other: 0.2906, IoU.waterdrops: 0.0000, IoU.window-blind: 0.5306, IoU.window-other: 0.5135, IoU.wood: 0.3094, Acc.person: 0.9413, Acc.bicycle: 0.8730, Acc.car: 0.8667, Acc.motorcycle: 0.9148, Acc.airplane: 0.9388, Acc.bus: 0.9097, Acc.train: 0.9594, Acc.truck: 0.8432, Acc.boat: 0.8808, Acc.traffic light: 0.8834, Acc.fire hydrant: 0.9637, Acc.stop sign: 0.9847, Acc.parking meter: 0.8740, Acc.bench: 0.7718, Acc.bird: 0.9276, Acc.cat: 0.8846, Acc.dog: 0.8599, Acc.horse: 0.9509, Acc.sheep: 0.9583, Acc.cow: 0.9139, Acc.elephant: 0.9684, Acc.bear: 0.9635, Acc.zebra: 0.9377, Acc.giraffe: 0.9474, Acc.backpack: 0.7136, Acc.umbrella: 0.9503, Acc.handbag: 0.7268, Acc.tie: 0.2220, Acc.suitcase: 0.9395, Acc.frisbee: 0.9546, Acc.skis: 0.7908, Acc.snowboard: 0.8457, Acc.sports ball: 0.7747, Acc.kite: 0.8635, Acc.baseball bat: 0.8679, Acc.baseball glove: 0.9198, Acc.skateboard: 0.9168, Acc.surfboard: 0.9398, Acc.tennis racket: 0.9419, Acc.bottle: 0.6712, Acc.wine glass: 0.8613, Acc.cup: 0.8281, Acc.fork: 0.6663, Acc.knife: 0.6723, Acc.spoon: 0.5765, Acc.bowl: 0.7286, Acc.banana: 0.9158, Acc.apple: 0.7077, Acc.sandwich: 0.6452, Acc.orange: 0.8068, Acc.broccoli: 0.6646, Acc.carrot: 0.6652, Acc.hot dog: 0.6484, Acc.pizza: 0.8776, Acc.donut: 0.9300, Acc.cake: 0.8267, Acc.chair: 0.7318, Acc.couch: 0.8095, Acc.potted plant: 0.6362, Acc.bed: 0.8612, Acc.dining table: 0.7774, Acc.toilet: 0.9514, Acc.tv: 0.8834, Acc.laptop: 0.9320, Acc.mouse: 0.9033, Acc.remote: 0.7936, Acc.keyboard: 0.8480, Acc.cell phone: 0.8566, Acc.microwave: 0.8367, Acc.oven: 0.8589, Acc.toaster: 0.8876, Acc.sink: 0.7986, Acc.refrigerator: 0.9315, Acc.book: 0.8070, Acc.clock: 0.8221, Acc.vase: 0.8650, Acc.scissors: 0.9350, Acc.teddy bear: 0.9414, Acc.hair drier: 0.6139, Acc.toothbrush: 0.8667, Acc.banner: 0.7123, Acc.blanket: 0.1097, Acc.branch: 0.4195, Acc.bridge: 0.6796, Acc.building-other: 0.7268, Acc.bush: 0.4726, Acc.cabinet: 0.7615, Acc.cage: 0.3129, Acc.cardboard: 0.6050, Acc.carpet: 0.7680, Acc.ceiling-other: 0.8332, Acc.ceiling-tile: 0.0011, Acc.cloth: 0.0551, Acc.clothes: 0.3742, Acc.clouds: 0.6425, Acc.counter: 0.5256, Acc.cupboard: 0.0000, Acc.curtain: 0.8391, Acc.desk-stuff: 0.6394, Acc.dirt: 0.6123, Acc.door-stuff: 0.7342, Acc.fence: 0.5669, Acc.floor-marble: 0.1238, Acc.floor-other: 0.3221, Acc.floor-stone: 0.0682, Acc.floor-tile: 0.7847, Acc.floor-wood: 0.8144, Acc.flower: 0.5378, Acc.fog: 0.0661, Acc.food-other: 0.3348, Acc.fruit: 0.6943, Acc.furniture-other: 0.3260, Acc.grass: 0.8359, Acc.gravel: 0.5106, Acc.ground-other: 0.0909, Acc.hill: 0.2845, Acc.house: 0.3057, Acc.leaves: 0.4021, Acc.light: 0.6196, Acc.mat: 0.0028, Acc.metal: 0.5369, Acc.mirror-stuff: 0.8226, Acc.moss: 0.0000, Acc.mountain: 0.7470, Acc.mud: 0.1274, Acc.napkin: 0.0917, Acc.net: 0.6732, Acc.paper: 0.4692, Acc.pavement: 0.6776, Acc.pillow: 0.3492, Acc.plant-other: 0.3668, Acc.plastic: 0.3687, Acc.platform: 0.5505, Acc.playingfield: 0.9143, Acc.railing: 0.2475, Acc.railroad: 0.8043, Acc.river: 0.7122, Acc.road: 0.8694, Acc.rock: 0.6541, Acc.roof: 0.3222, Acc.rug: 0.5135, Acc.salad: 0.0000, Acc.sand: 0.7211, Acc.sea: 0.9173, Acc.shelf: 0.5181, Acc.sky-other: 0.8679, Acc.skyscraper: 0.4861, Acc.snow: 0.9438, Acc.solid-other: 0.0035, Acc.stairs: 0.5540, Acc.stone: 0.3099, Acc.straw: 0.4763, Acc.structural-other: 0.0064, Acc.table: 0.2421, Acc.tent: 0.1458, Acc.textile-other: 0.2934, Acc.towel: 0.4957, Acc.tree: 0.8671, Acc.vegetable: 0.5455, Acc.wall-brick: 0.6663, Acc.wall-concrete: 0.7903, Acc.wall-other: 0.3683, Acc.wall-panel: 0.0595, Acc.wall-stone: 0.4285, Acc.wall-tile: 0.8666, Acc.wall-wood: 0.5887, Acc.water-other: 0.4430, Acc.waterdrops: 0.0000, Acc.window-blind: 0.6509, Acc.window-other: 0.7387, Acc.wood: 0.4810