2023-11-21 21:14:38,069 - mmseg - INFO - Multi-processing start method is `None` 2023-11-21 21:14:38,084 - mmseg - INFO - OpenCV num_threads is `128 2023-11-21 21:14:38,085 - mmseg - INFO - OMP num threads is 1 2023-11-21 21:14:38,205 - mmseg - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.8.17 (default, Jul 5 2023, 21:04:15) [GCC 11.2.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB CUDA_HOME: /mnt/petrelfs/share/cuda-11.3 NVCC: Cuda compilation tools, release 11.3, V11.3.109 GCC: gcc (GCC) 7.5.0 PyTorch: 1.12.0 PyTorch compiling details: PyTorch built with: - GCC 9.3 - C++ Version: 201402 - Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.3 - 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_61,code=sm_61;-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;-gencode;arch=compute_37,code=compute_37 - CuDNN 8.3.2 (built against CUDA 11.5) - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/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 -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -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 -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.12.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.13.0 OpenCV: 4.8.0 MMCV: 1.5.0 MMCV Compiler: GCC 7.5 MMCV CUDA Compiler: 11.3 MMSegmentation: 0.27.0+21ff786 ------------------------------------------------------------ 2023-11-21 21:14:38,206 - mmseg - INFO - Distributed training: True 2023-11-21 21:14:38,916 - mmseg - INFO - Config: num_things_classes = 100 num_stuff_classes = 50 num_classes = 150 norm_cfg = dict(type='SyncBN', requires_grad=True) model = dict( type='EncoderDecoderMask2Former', pretrained=None, backbone=dict( type='Flash_InternImage_nsmx2', core_op='FlashDCNv3', channels=160, depths=[5, 5, 22, 5], groups=[10, 20, 40, 80], mlp_ratio=4.0, drop_path_rate=0.5, norm_layer='LN', layer_scale=1.0, offset_scale=2.0, post_norm=True, with_cp=True, op_bias=True, out_indices=(0, 1, 2, 3), init_cfg=dict( type='Pretrained', checkpoint='/mnt/petrelfs/lizhiqi/flash_intern_l_wd_nsmx.pth')), decode_head=dict( type='Mask2FormerHead', in_channels=[160, 320, 640, 1280], feat_channels=256, out_channels=256, in_index=[0, 1, 2, 3], num_things_classes=100, num_stuff_classes=50, num_queries=200, num_transformer_feat_level=3, pixel_decoder=dict( type='MSDeformAttnPixelDecoder', num_outs=3, norm_cfg=dict(type='GN', num_groups=32), act_cfg=dict(type='ReLU'), encoder=dict( type='DetrTransformerEncoder', num_layers=6, transformerlayers=dict( type='BaseTransformerLayer', attn_cfgs=dict( type='MultiScaleDeformableAttention', embed_dims=256, num_heads=8, num_levels=3, num_points=4, im2col_step=64, dropout=0.0, batch_first=False, norm_cfg=None, init_cfg=None), ffn_cfgs=dict( type='FFN', embed_dims=256, feedforward_channels=2048, num_fcs=2, ffn_drop=0.0, act_cfg=dict(type='ReLU', inplace=True), with_cp=False), operation_order=('self_attn', 'norm', 'ffn', 'norm')), init_cfg=None), positional_encoding=dict( type='SinePositionalEncoding', num_feats=128, normalize=True), init_cfg=None), enforce_decoder_input_project=False, positional_encoding=dict( type='SinePositionalEncoding', num_feats=128, normalize=True), transformer_decoder=dict( type='DetrTransformerDecoder', return_intermediate=True, num_layers=9, transformerlayers=dict( type='DetrTransformerDecoderLayer', attn_cfgs=dict( type='MultiheadAttention', embed_dims=256, num_heads=8, attn_drop=0.0, proj_drop=0.0, dropout_layer=None, batch_first=False), ffn_cfgs=dict( embed_dims=256, feedforward_channels=2048, num_fcs=2, act_cfg=dict(type='ReLU', inplace=True), ffn_drop=0.0, dropout_layer=None, add_identity=True, with_cp=False), feedforward_channels=2048, operation_order=('cross_attn', 'norm', 'self_attn', 'norm', 'ffn', 'norm')), init_cfg=None), loss_cls=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=2.0, reduction='mean', class_weight=[ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 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), num_classes=150), 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='whole'), init_cfg=None) dataset_type = 'ADE20KDataset' data_root = 'data/ADEChallengeData2016' img_norm_cfg = dict( mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) crop_size = (640, 640) train_pipeline = [ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', reduce_zero_label=True), dict(type='Resize', img_scale=(2560, 640), ratio_range=(0.5, 2.0)), dict(type='RandomCrop', crop_size=(640, 640), 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=(640, 640), 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=(2560, 640), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='ResizeToMultiple', size_divisor=32), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ] data = dict( samples_per_gpu=2, workers_per_gpu=4, train=dict( type='ADE20KDataset', data_root='data/ADEChallengeData2016', img_dir='images/training', ann_dir='annotations/training', pipeline=[ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', reduce_zero_label=True), dict(type='Resize', img_scale=(2560, 640), ratio_range=(0.5, 2.0)), dict(type='RandomCrop', crop_size=(640, 640), 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=(640, 640), pad_val=0, seg_pad_val=255), dict(type='ToMask'), dict(type='DefaultFormatBundle'), dict( type='Collect', keys=['img', 'gt_semantic_seg', 'gt_masks', 'gt_labels']) ]), val=dict( type='ADE20KDataset', data_root='data/ADEChallengeData2016', img_dir='images/validation', ann_dir='annotations/validation', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(2560, 640), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='ResizeToMultiple', size_divisor=32), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ]), test=dict( type='ADE20KDataset', data_root='data/ADEChallengeData2016', img_dir='images/validation', ann_dir='annotations/validation', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(2560, 640), 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=0.0001, betas=(0.9, 0.999), weight_decay=0.05, constructor='CustomLayerDecayOptimizerConstructor', paramwise_cfg=dict( num_layers=37, layer_decay_rate=0.94, depths=[5, 5, 22, 5], offset_lr_scale=1.0)) optimizer_config = dict(grad_clip=dict(max_norm=0.1, norm_type=2)) 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=160000) checkpoint_config = dict(by_epoch=False, interval=2000, max_keep_ckpts=1) evaluation = dict( interval=2000, metric='mIoU', pre_eval=True, save_best='mIoU') pretrained = '/mnt/petrelfs/lizhiqi/flash_intern_l_wd_nsmx.pth' work_dir = './work_dirs/mask2former_flash_internimage_l_640_160k_ade20k_ss' gpu_ids = range(0, 8) auto_resume = False 2023-11-21 21:14:43,725 - mmseg - INFO - Set random seed to 40261608, deterministic: False 2023-11-21 21:14:43,726 - mmseg - INFO - using core type: FlashDCNv3 2023-11-21 21:14:43,726 - mmseg - INFO - using activation layer: GELU 2023-11-21 21:14:43,727 - mmseg - INFO - using main norm layer: LN 2023-11-21 21:14:43,727 - mmseg - INFO - using dpr: linear, 0.5 2023-11-21 21:14:43,727 - mmseg - INFO - level2_post_norm: False 2023-11-21 21:14:43,727 - mmseg - INFO - level2_post_norm_block_ids: None 2023-11-21 21:14:43,727 - mmseg - INFO - res_post_norm: False 2023-11-21 21:14:47,276 - mmseg - INFO - load checkpoint from local path: /mnt/petrelfs/lizhiqi/flash_intern_l_wd_nsmx.pth 2023-11-21 21:14:50,296 - mmseg - INFO - _IncompatibleKeys(missing_keys=[], unexpected_keys=['conv_head.0.weight', 'conv_head.1.0.weight', 'conv_head.1.0.bias', 'conv_head.1.0.running_mean', 'conv_head.1.0.running_var', 'conv_head.1.0.num_batches_tracked', 'head.weight', 'head.bias']) Name of parameter - Initialization information backbone.patch_embed.conv1.weight - torch.Size([80, 3, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.patch_embed.conv1.bias - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.patch_embed.norm1.1.weight - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.patch_embed.norm1.1.bias - torch.Size([80]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.patch_embed.conv2.weight - torch.Size([160, 80, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.patch_embed.conv2.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.patch_embed.norm2.1.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.patch_embed.norm2.1.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.gamma1 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.gamma2 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.norm1.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.norm1.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.dcn.offset_mask_dw.weight - torch.Size([160, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.dcn.offset_mask_dw.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.dcn.offset_mask.weight - torch.Size([270, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.dcn.offset_mask.bias - torch.Size([270]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.dcn.value_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.dcn.value_proj.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.dcn.output_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.dcn.output_proj.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.norm2.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.norm2.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.mlp.fc1.weight - torch.Size([640, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.mlp.fc1.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.mlp.fc2.weight - torch.Size([160, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.0.mlp.fc2.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.gamma1 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.gamma2 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.norm1.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.norm1.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.dcn.offset_mask_dw.weight - torch.Size([160, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.dcn.offset_mask_dw.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.dcn.offset_mask.weight - torch.Size([270, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.dcn.offset_mask.bias - torch.Size([270]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.dcn.value_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.dcn.value_proj.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.dcn.output_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.dcn.output_proj.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.norm2.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.norm2.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.mlp.fc1.weight - torch.Size([640, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.mlp.fc1.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.mlp.fc2.weight - torch.Size([160, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.1.mlp.fc2.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.gamma1 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.gamma2 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.norm1.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.norm1.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.dcn.offset_mask_dw.weight - torch.Size([160, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.dcn.offset_mask_dw.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.dcn.offset_mask.weight - torch.Size([270, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.dcn.offset_mask.bias - torch.Size([270]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.dcn.value_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.dcn.value_proj.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.dcn.output_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.dcn.output_proj.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.norm2.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.norm2.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.mlp.fc1.weight - torch.Size([640, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.mlp.fc1.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.mlp.fc2.weight - torch.Size([160, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.2.mlp.fc2.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.gamma1 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.gamma2 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.norm1.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.norm1.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.dcn.offset_mask_dw.weight - torch.Size([160, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.dcn.offset_mask_dw.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.dcn.offset_mask.weight - torch.Size([270, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.dcn.offset_mask.bias - torch.Size([270]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.dcn.value_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.dcn.value_proj.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.dcn.output_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.dcn.output_proj.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.norm2.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.norm2.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.mlp.fc1.weight - torch.Size([640, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.mlp.fc1.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.mlp.fc2.weight - torch.Size([160, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.3.mlp.fc2.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.gamma1 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.gamma2 - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.norm1.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.norm1.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.dcn.offset_mask_dw.weight - torch.Size([160, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.dcn.offset_mask_dw.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.dcn.offset_mask.weight - torch.Size([270, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.dcn.offset_mask.bias - torch.Size([270]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.dcn.value_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.dcn.value_proj.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.dcn.output_proj.weight - torch.Size([160, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.dcn.output_proj.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.norm2.0.weight - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.norm2.0.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.mlp.fc1.weight - torch.Size([640, 160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.mlp.fc1.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.mlp.fc2.weight - torch.Size([160, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.blocks.4.mlp.fc2.bias - torch.Size([160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.downsample.conv.weight - torch.Size([320, 160, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.downsample.norm.1.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.0.downsample.norm.1.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.dcn.output_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.0.mlp.fc2.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.dcn.output_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.1.mlp.fc2.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.dcn.output_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.2.mlp.fc2.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.dcn.output_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.3.mlp.fc2.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.gamma1 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.gamma2 - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.norm1.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.norm1.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.dcn.offset_mask_dw.weight - torch.Size([320, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.dcn.offset_mask_dw.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.dcn.offset_mask.weight - torch.Size([540, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.dcn.offset_mask.bias - torch.Size([540]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.dcn.value_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.dcn.value_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.dcn.output_proj.weight - torch.Size([320, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.dcn.output_proj.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.norm2.0.weight - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.norm2.0.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.mlp.fc1.weight - torch.Size([1280, 320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.mlp.fc1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.mlp.fc2.weight - torch.Size([320, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.blocks.4.mlp.fc2.bias - torch.Size([320]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.downsample.conv.weight - torch.Size([640, 320, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.downsample.norm.1.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.1.downsample.norm.1.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.0.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.1.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.2.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.3.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.4.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.5.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.6.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.7.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.8.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.9.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.10.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.11.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.12.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.13.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.14.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.15.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.16.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.17.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.18.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.19.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.20.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.gamma1 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.gamma2 - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.norm1.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.norm1.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.dcn.offset_mask_dw.weight - torch.Size([640, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.dcn.offset_mask_dw.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.dcn.offset_mask.weight - torch.Size([1080, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.dcn.offset_mask.bias - torch.Size([1080]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.dcn.value_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.dcn.value_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.dcn.output_proj.weight - torch.Size([640, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.dcn.output_proj.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.norm2.0.weight - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.norm2.0.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.mlp.fc1.weight - torch.Size([2560, 640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.mlp.fc1.bias - torch.Size([2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.mlp.fc2.weight - torch.Size([640, 2560]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.blocks.21.mlp.fc2.bias - torch.Size([640]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.downsample.conv.weight - torch.Size([1280, 640, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.downsample.norm.1.weight - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.2.downsample.norm.1.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.gamma1 - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.gamma2 - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.norm1.0.weight - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.norm1.0.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.dcn.offset_mask_dw.weight - torch.Size([1280, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.dcn.offset_mask_dw.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.dcn.offset_mask.weight - torch.Size([2160, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.dcn.offset_mask.bias - torch.Size([2160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.dcn.value_proj.weight - torch.Size([1280, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.dcn.value_proj.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.dcn.output_proj.weight - torch.Size([1280, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.dcn.output_proj.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.norm2.0.weight - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.norm2.0.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.mlp.fc1.weight - torch.Size([5120, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.mlp.fc1.bias - torch.Size([5120]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.mlp.fc2.weight - torch.Size([1280, 5120]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.0.mlp.fc2.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.gamma1 - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.gamma2 - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.norm1.0.weight - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.norm1.0.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.dcn.offset_mask_dw.weight - torch.Size([1280, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.dcn.offset_mask_dw.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.dcn.offset_mask.weight - torch.Size([2160, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.dcn.offset_mask.bias - torch.Size([2160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.dcn.value_proj.weight - torch.Size([1280, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.dcn.value_proj.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.dcn.output_proj.weight - torch.Size([1280, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.dcn.output_proj.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.norm2.0.weight - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.norm2.0.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.mlp.fc1.weight - torch.Size([5120, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.mlp.fc1.bias - torch.Size([5120]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.mlp.fc2.weight - torch.Size([1280, 5120]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.1.mlp.fc2.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.gamma1 - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.gamma2 - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.norm1.0.weight - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.norm1.0.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.dcn.offset_mask_dw.weight - torch.Size([1280, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.dcn.offset_mask_dw.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.dcn.offset_mask.weight - torch.Size([2160, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.dcn.offset_mask.bias - torch.Size([2160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.dcn.value_proj.weight - torch.Size([1280, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.dcn.value_proj.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.dcn.output_proj.weight - torch.Size([1280, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.dcn.output_proj.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.norm2.0.weight - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.norm2.0.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.mlp.fc1.weight - torch.Size([5120, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.mlp.fc1.bias - torch.Size([5120]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.mlp.fc2.weight - torch.Size([1280, 5120]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.2.mlp.fc2.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.gamma1 - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.gamma2 - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.norm1.0.weight - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.norm1.0.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.dcn.offset_mask_dw.weight - torch.Size([1280, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.dcn.offset_mask_dw.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.dcn.offset_mask.weight - torch.Size([2160, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.dcn.offset_mask.bias - torch.Size([2160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.dcn.value_proj.weight - torch.Size([1280, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.dcn.value_proj.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.dcn.output_proj.weight - torch.Size([1280, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.dcn.output_proj.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.norm2.0.weight - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.norm2.0.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.mlp.fc1.weight - torch.Size([5120, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.mlp.fc1.bias - torch.Size([5120]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.mlp.fc2.weight - torch.Size([1280, 5120]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.3.mlp.fc2.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.gamma1 - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.gamma2 - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.norm1.0.weight - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.norm1.0.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.dcn.offset_mask_dw.weight - torch.Size([1280, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.dcn.offset_mask_dw.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.dcn.offset_mask.weight - torch.Size([2160, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.dcn.offset_mask.bias - torch.Size([2160]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.dcn.value_proj.weight - torch.Size([1280, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.dcn.value_proj.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.dcn.output_proj.weight - torch.Size([1280, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.dcn.output_proj.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.norm2.0.weight - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.norm2.0.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.mlp.fc1.weight - torch.Size([5120, 1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.mlp.fc1.bias - torch.Size([5120]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.mlp.fc2.weight - torch.Size([1280, 5120]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 backbone.levels.3.blocks.4.mlp.fc2.bias - torch.Size([1280]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx2 decode_head.pixel_decoder.input_convs.0.conv.weight - torch.Size([256, 1280, 1, 1]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.input_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.0.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.0.gn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.1.conv.weight - torch.Size([256, 640, 1, 1]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.input_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.1.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.1.gn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.2.conv.weight - torch.Size([256, 320, 1, 1]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.input_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.2.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.2.gn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.attentions.0.sampling_offsets.weight - torch.Size([192, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.attentions.0.sampling_offsets.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.attentions.0.attention_weights.weight - torch.Size([96, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.attentions.0.attention_weights.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.attentions.0.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.0.attentions.0.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.attentions.0.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.0.attentions.0.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.0.ffns.0.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.0.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.attentions.0.sampling_offsets.weight - torch.Size([192, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.attentions.0.sampling_offsets.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.attentions.0.attention_weights.weight - torch.Size([96, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.attentions.0.attention_weights.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.attentions.0.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.1.attentions.0.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.attentions.0.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.1.attentions.0.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.1.ffns.0.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.1.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.attentions.0.sampling_offsets.weight - torch.Size([192, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.attentions.0.sampling_offsets.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.attentions.0.attention_weights.weight - torch.Size([96, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.attentions.0.attention_weights.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.attentions.0.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.2.attentions.0.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.attentions.0.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.2.attentions.0.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.2.ffns.0.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.2.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.attentions.0.sampling_offsets.weight - torch.Size([192, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.attentions.0.sampling_offsets.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.attentions.0.attention_weights.weight - torch.Size([96, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.attentions.0.attention_weights.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.attentions.0.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.3.attentions.0.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.attentions.0.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.3.attentions.0.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.3.ffns.0.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.3.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.attentions.0.sampling_offsets.weight - torch.Size([192, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.attentions.0.sampling_offsets.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.attentions.0.attention_weights.weight - torch.Size([96, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.attentions.0.attention_weights.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.attentions.0.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.4.attentions.0.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.attentions.0.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.4.attentions.0.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.4.ffns.0.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.4.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.attentions.0.sampling_offsets.weight - torch.Size([192, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.attentions.0.sampling_offsets.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.attentions.0.attention_weights.weight - torch.Size([96, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.attentions.0.attention_weights.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.attentions.0.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.5.attentions.0.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.attentions.0.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.5.attentions.0.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.5.ffns.0.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.5.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.level_encoding.weight - torch.Size([3, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.lateral_convs.0.conv.weight - torch.Size([256, 160, 1, 1]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.lateral_convs.0.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.lateral_convs.0.gn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.output_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.output_convs.0.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.output_convs.0.gn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.mask_feature.weight - torch.Size([256, 256, 1, 1]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.mask_feature.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.attentions.1.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.attentions.1.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.ffns.0.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.1.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.1.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.1.attentions.1.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.1.attentions.1.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.1.ffns.0.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.1.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.2.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.2.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.2.attentions.1.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.2.attentions.1.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.2.ffns.0.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.2.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.3.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.3.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.3.attentions.1.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.3.attentions.1.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.3.ffns.0.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.3.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.4.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.4.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.4.attentions.1.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.4.attentions.1.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.4.ffns.0.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.4.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.5.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.5.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.5.attentions.1.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.5.attentions.1.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.5.ffns.0.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.5.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.6.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.6.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.6.attentions.1.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.6.attentions.1.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.6.ffns.0.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.6.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.7.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.7.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.7.attentions.1.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.7.attentions.1.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.7.ffns.0.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.7.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.8.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.8.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.8.attentions.1.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.8.attentions.1.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.8.ffns.0.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.8.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.post_norm.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.post_norm.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.query_embed.weight - torch.Size([200, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.query_feat.weight - torch.Size([200, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.level_embed.weight - torch.Size([3, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.cls_embed.weight - torch.Size([151, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.cls_embed.bias - torch.Size([151]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.mask_embed.0.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.mask_embed.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.mask_embed.2.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.mask_embed.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.mask_embed.4.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.mask_embed.4.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former 2023-11-21 21:14:51,433 - mmseg - INFO - Loaded 20210 images 2023-11-21 21:14:52,784 - mmseg - INFO - {'num_layers': 37, 'layer_decay_rate': 0.94, 'depths': [5, 5, 22, 5], 'offset_lr_scale': 1.0} 2023-11-21 21:14:52,784 - mmseg - INFO - Build CustomLayerDecayOptimizerConstructor 0.940000 - 39 2023-11-21 21:14:52,790 - mmseg - INFO - Param groups = { "layer_0_decay": { "param_names": [ "backbone.patch_embed.conv1.weight", "backbone.patch_embed.conv2.weight", "decode_head.query_embed.weight", "decode_head.query_feat.weight", "decode_head.level_embed.weight", "decode_head.cls_embed.weight", "decode_head.mask_embed.0.weight", "decode_head.mask_embed.2.weight", "decode_head.mask_embed.4.weight" ], "lr_scale": 0.09524856399210693, "lr": 9.524856399210694e-06, "weight_decay": 0.05 }, "layer_0_no_decay": { "param_names": [ "backbone.patch_embed.conv1.bias", "backbone.patch_embed.norm1.1.weight", "backbone.patch_embed.norm1.1.bias", "backbone.patch_embed.conv2.bias", "backbone.patch_embed.norm2.1.weight", "backbone.patch_embed.norm2.1.bias", "decode_head.cls_embed.bias", "decode_head.mask_embed.0.bias", "decode_head.mask_embed.2.bias", "decode_head.mask_embed.4.bias" ], "lr_scale": 0.09524856399210693, "lr": 9.524856399210694e-06, "weight_decay": 0.0 }, "layer_1_no_decay": { "param_names": [ "backbone.levels.0.blocks.0.gamma1", "backbone.levels.0.blocks.0.gamma2", "backbone.levels.0.blocks.0.norm1.0.weight", "backbone.levels.0.blocks.0.norm1.0.bias", "backbone.levels.0.blocks.0.dcn.offset_mask_dw.bias", "backbone.levels.0.blocks.0.dcn.offset_mask.bias", "backbone.levels.0.blocks.0.dcn.value_proj.bias", "backbone.levels.0.blocks.0.dcn.output_proj.bias", "backbone.levels.0.blocks.0.norm2.0.weight", "backbone.levels.0.blocks.0.norm2.0.bias", "backbone.levels.0.blocks.0.mlp.fc1.bias", "backbone.levels.0.blocks.0.mlp.fc2.bias" ], "lr_scale": 0.10132825956607122, "lr": 1.0132825956607122e-05, "weight_decay": 0.0 }, "layer_1_decay": { "param_names": [ "backbone.levels.0.blocks.0.dcn.offset_mask_dw.weight", "backbone.levels.0.blocks.0.dcn.offset_mask.weight", "backbone.levels.0.blocks.0.dcn.value_proj.weight", "backbone.levels.0.blocks.0.dcn.output_proj.weight", "backbone.levels.0.blocks.0.mlp.fc1.weight", "backbone.levels.0.blocks.0.mlp.fc2.weight" ], "lr_scale": 0.10132825956607122, "lr": 1.0132825956607122e-05, "weight_decay": 0.05 }, "layer_2_no_decay": { "param_names": [ "backbone.levels.0.blocks.1.gamma1", "backbone.levels.0.blocks.1.gamma2", "backbone.levels.0.blocks.1.norm1.0.weight", "backbone.levels.0.blocks.1.norm1.0.bias", "backbone.levels.0.blocks.1.dcn.offset_mask_dw.bias", 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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 -------------------- 2023-11-21 21:14:52,897 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters 2023-11-21 21:14:52,897 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_l_640_160k_ade20k_ss by HardDiskBackend. 2023-11-21 21:16:02,823 - mmseg - INFO - Iter [50/160000] lr: 3.111e-07, eta: 1 day, 7:40:25, time: 0.713, data_time: 0.021, memory: 38143, decode.loss_cls: 9.0203, decode.loss_mask: 2.9984, decode.loss_dice: 4.3474, decode.d0.loss_cls: 10.4214, decode.d0.loss_mask: 2.5217, decode.d0.loss_dice: 4.1610, decode.d1.loss_cls: 11.4628, decode.d1.loss_mask: 2.7470, decode.d1.loss_dice: 4.1899, decode.d2.loss_cls: 11.0059, decode.d2.loss_mask: 2.9167, decode.d2.loss_dice: 4.2492, decode.d3.loss_cls: 9.5922, decode.d3.loss_mask: 2.9570, decode.d3.loss_dice: 4.2648, decode.d4.loss_cls: 9.5183, decode.d4.loss_mask: 3.2743, decode.d4.loss_dice: 4.2722, decode.d5.loss_cls: 10.3518, decode.d5.loss_mask: 2.8028, decode.d5.loss_dice: 4.3637, decode.d6.loss_cls: 10.0065, decode.d6.loss_mask: 2.8081, decode.d6.loss_dice: 4.3886, decode.d7.loss_cls: 9.3176, decode.d7.loss_mask: 2.9318, decode.d7.loss_dice: 4.3285, decode.d8.loss_cls: 9.6304, decode.d8.loss_mask: 2.9549, decode.d8.loss_dice: 4.3191, loss: 172.1242, grad_norm: 621.3344 2023-11-21 21:16:32,155 - mmseg - INFO - Iter [100/160000] lr: 6.283e-07, eta: 1 day, 4:51:35, time: 0.587, data_time: 0.014, memory: 38143, decode.loss_cls: 4.6383, decode.loss_mask: 1.9444, decode.loss_dice: 4.4441, decode.d0.loss_cls: 10.4058, decode.d0.loss_mask: 1.7624, decode.d0.loss_dice: 4.0547, decode.d1.loss_cls: 7.5657, decode.d1.loss_mask: 1.7718, decode.d1.loss_dice: 4.1138, decode.d2.loss_cls: 6.0971, decode.d2.loss_mask: 1.7637, decode.d2.loss_dice: 4.2603, decode.d3.loss_cls: 4.9670, decode.d3.loss_mask: 1.8241, decode.d3.loss_dice: 4.3074, decode.d4.loss_cls: 4.6478, decode.d4.loss_mask: 1.9035, decode.d4.loss_dice: 4.3361, decode.d5.loss_cls: 5.0491, decode.d5.loss_mask: 1.8718, decode.d5.loss_dice: 4.4032, decode.d6.loss_cls: 4.6125, decode.d6.loss_mask: 1.9464, decode.d6.loss_dice: 4.4127, decode.d7.loss_cls: 4.5255, decode.d7.loss_mask: 1.9825, decode.d7.loss_dice: 4.4101, decode.d8.loss_cls: 4.8069, decode.d8.loss_mask: 1.9977, decode.d8.loss_dice: 4.4109, loss: 119.2373, grad_norm: 136.5522 2023-11-21 21:17:00,599 - mmseg - INFO - Iter [150/160000] lr: 9.453e-07, eta: 1 day, 3:39:13, time: 0.569, data_time: 0.015, memory: 38143, decode.loss_cls: 3.6247, decode.loss_mask: 1.8596, decode.loss_dice: 4.4061, decode.d0.loss_cls: 10.4131, decode.d0.loss_mask: 1.6652, decode.d0.loss_dice: 4.0346, decode.d1.loss_cls: 3.9887, decode.d1.loss_mask: 1.6391, decode.d1.loss_dice: 4.0834, decode.d2.loss_cls: 3.7187, decode.d2.loss_mask: 1.6367, decode.d2.loss_dice: 4.1358, decode.d3.loss_cls: 3.6961, decode.d3.loss_mask: 1.6219, decode.d3.loss_dice: 4.1888, decode.d4.loss_cls: 3.6377, decode.d4.loss_mask: 1.6373, decode.d4.loss_dice: 4.2442, decode.d5.loss_cls: 3.6648, decode.d5.loss_mask: 1.6632, decode.d5.loss_dice: 4.2671, decode.d6.loss_cls: 3.6728, decode.d6.loss_mask: 1.6983, decode.d6.loss_dice: 4.3181, decode.d7.loss_cls: 3.6498, decode.d7.loss_mask: 1.7805, decode.d7.loss_dice: 4.3428, decode.d8.loss_cls: 3.6314, decode.d8.loss_mask: 1.8191, decode.d8.loss_dice: 4.3768, loss: 103.1167, grad_norm: 85.2349 2023-11-21 21:17:29,013 - mmseg - INFO - Iter [200/160000] lr: 1.262e-06, eta: 1 day, 3:02:24, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 3.5557, decode.loss_mask: 1.6199, decode.loss_dice: 4.1425, decode.d0.loss_cls: 10.4105, decode.d0.loss_mask: 1.6856, decode.d0.loss_dice: 3.9190, decode.d1.loss_cls: 3.8078, decode.d1.loss_mask: 1.6556, decode.d1.loss_dice: 3.9661, decode.d2.loss_cls: 3.6330, decode.d2.loss_mask: 1.6539, decode.d2.loss_dice: 3.9589, decode.d3.loss_cls: 3.5963, decode.d3.loss_mask: 1.6434, decode.d3.loss_dice: 3.9727, decode.d4.loss_cls: 3.5482, decode.d4.loss_mask: 1.6407, decode.d4.loss_dice: 3.9992, decode.d5.loss_cls: 3.5633, decode.d5.loss_mask: 1.6275, decode.d5.loss_dice: 4.0429, decode.d6.loss_cls: 3.5637, decode.d6.loss_mask: 1.6162, decode.d6.loss_dice: 4.0481, decode.d7.loss_cls: 3.5647, decode.d7.loss_mask: 1.6201, decode.d7.loss_dice: 4.0577, decode.d8.loss_cls: 3.5536, decode.d8.loss_mask: 1.6077, decode.d8.loss_dice: 4.1107, loss: 99.3850, grad_norm: 64.3933 2023-11-21 21:17:57,396 - mmseg - INFO - Iter [250/160000] lr: 1.579e-06, eta: 1 day, 2:39:47, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 3.3842, decode.loss_mask: 1.6772, decode.loss_dice: 3.6855, decode.d0.loss_cls: 10.4229, decode.d0.loss_mask: 1.7050, decode.d0.loss_dice: 3.7441, decode.d1.loss_cls: 3.6331, decode.d1.loss_mask: 1.6867, decode.d1.loss_dice: 3.7015, decode.d2.loss_cls: 3.4728, decode.d2.loss_mask: 1.6800, decode.d2.loss_dice: 3.6476, decode.d3.loss_cls: 3.4252, decode.d3.loss_mask: 1.6754, decode.d3.loss_dice: 3.6293, decode.d4.loss_cls: 3.3892, decode.d4.loss_mask: 1.6734, decode.d4.loss_dice: 3.6233, decode.d5.loss_cls: 3.3999, decode.d5.loss_mask: 1.6701, decode.d5.loss_dice: 3.6419, decode.d6.loss_cls: 3.3975, decode.d6.loss_mask: 1.6738, decode.d6.loss_dice: 3.6365, decode.d7.loss_cls: 3.3950, decode.d7.loss_mask: 1.6783, decode.d7.loss_dice: 3.6418, decode.d8.loss_cls: 3.3734, decode.d8.loss_mask: 1.6739, decode.d8.loss_dice: 3.6627, loss: 94.7013, grad_norm: 105.1287 2023-11-21 21:18:26,006 - mmseg - INFO - Iter [300/160000] lr: 1.895e-06, eta: 1 day, 2:26:34, time: 0.572, data_time: 0.015, memory: 38143, decode.loss_cls: 3.2948, decode.loss_mask: 1.6521, decode.loss_dice: 3.4567, decode.d0.loss_cls: 10.4145, decode.d0.loss_mask: 1.6860, decode.d0.loss_dice: 3.6283, decode.d1.loss_cls: 3.5941, decode.d1.loss_mask: 1.6621, decode.d1.loss_dice: 3.5238, decode.d2.loss_cls: 3.4068, decode.d2.loss_mask: 1.6485, decode.d2.loss_dice: 3.4608, decode.d3.loss_cls: 3.3501, decode.d3.loss_mask: 1.6397, decode.d3.loss_dice: 3.4311, decode.d4.loss_cls: 3.3043, decode.d4.loss_mask: 1.6406, decode.d4.loss_dice: 3.4317, decode.d5.loss_cls: 3.2970, decode.d5.loss_mask: 1.6394, decode.d5.loss_dice: 3.4380, decode.d6.loss_cls: 3.2714, decode.d6.loss_mask: 1.6437, decode.d6.loss_dice: 3.4311, decode.d7.loss_cls: 3.2725, decode.d7.loss_mask: 1.6444, decode.d7.loss_dice: 3.4400, decode.d8.loss_cls: 3.2703, decode.d8.loss_mask: 1.6486, decode.d8.loss_dice: 3.4428, loss: 91.6649, grad_norm: 108.0033 2023-11-21 21:18:54,309 - mmseg - INFO - Iter [350/160000] lr: 2.211e-06, eta: 1 day, 2:14:40, time: 0.566, data_time: 0.015, memory: 38143, decode.loss_cls: 3.1508, decode.loss_mask: 1.6111, decode.loss_dice: 3.2961, decode.d0.loss_cls: 10.4179, decode.d0.loss_mask: 1.6730, decode.d0.loss_dice: 3.5124, decode.d1.loss_cls: 3.5064, decode.d1.loss_mask: 1.6238, decode.d1.loss_dice: 3.3652, decode.d2.loss_cls: 3.2837, decode.d2.loss_mask: 1.6179, decode.d2.loss_dice: 3.3038, decode.d3.loss_cls: 3.2106, decode.d3.loss_mask: 1.6095, decode.d3.loss_dice: 3.2734, decode.d4.loss_cls: 3.1507, decode.d4.loss_mask: 1.6150, decode.d4.loss_dice: 3.2713, decode.d5.loss_cls: 3.1453, decode.d5.loss_mask: 1.6178, decode.d5.loss_dice: 3.2849, decode.d6.loss_cls: 3.1199, decode.d6.loss_mask: 1.6150, decode.d6.loss_dice: 3.2862, decode.d7.loss_cls: 3.1178, decode.d7.loss_mask: 1.6158, decode.d7.loss_dice: 3.2944, decode.d8.loss_cls: 3.1189, decode.d8.loss_mask: 1.6117, decode.d8.loss_dice: 3.2978, loss: 88.6181, grad_norm: 95.1745 2023-11-21 21:19:22,989 - mmseg - INFO - Iter [400/160000] lr: 2.527e-06, eta: 1 day, 2:08:07, time: 0.574, data_time: 0.015, memory: 38143, decode.loss_cls: 2.9576, decode.loss_mask: 1.5727, decode.loss_dice: 3.1560, decode.d0.loss_cls: 10.4156, decode.d0.loss_mask: 1.6416, decode.d0.loss_dice: 3.3933, decode.d1.loss_cls: 3.3430, decode.d1.loss_mask: 1.5809, decode.d1.loss_dice: 3.2309, decode.d2.loss_cls: 3.0928, decode.d2.loss_mask: 1.5721, decode.d2.loss_dice: 3.1704, decode.d3.loss_cls: 3.0258, decode.d3.loss_mask: 1.5691, decode.d3.loss_dice: 3.1457, decode.d4.loss_cls: 2.9704, decode.d4.loss_mask: 1.5640, decode.d4.loss_dice: 3.1402, decode.d5.loss_cls: 2.9629, decode.d5.loss_mask: 1.5717, decode.d5.loss_dice: 3.1537, decode.d6.loss_cls: 2.9373, decode.d6.loss_mask: 1.5709, decode.d6.loss_dice: 3.1499, decode.d7.loss_cls: 2.9401, decode.d7.loss_mask: 1.5686, decode.d7.loss_dice: 3.1471, decode.d8.loss_cls: 2.9394, decode.d8.loss_mask: 1.5657, decode.d8.loss_dice: 3.1510, loss: 85.2007, grad_norm: 102.4247 2023-11-21 21:19:51,266 - mmseg - INFO - Iter [450/160000] lr: 2.843e-06, eta: 1 day, 2:00:32, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 2.8678, decode.loss_mask: 1.5522, decode.loss_dice: 3.0079, decode.d0.loss_cls: 10.4034, decode.d0.loss_mask: 1.6439, decode.d0.loss_dice: 3.2979, decode.d1.loss_cls: 3.2296, decode.d1.loss_mask: 1.5524, decode.d1.loss_dice: 3.0950, decode.d2.loss_cls: 2.9667, decode.d2.loss_mask: 1.5551, decode.d2.loss_dice: 3.0254, decode.d3.loss_cls: 2.9215, decode.d3.loss_mask: 1.5461, decode.d3.loss_dice: 3.0040, decode.d4.loss_cls: 2.8689, decode.d4.loss_mask: 1.5496, decode.d4.loss_dice: 3.0050, decode.d5.loss_cls: 2.8480, decode.d5.loss_mask: 1.5468, decode.d5.loss_dice: 3.0100, decode.d6.loss_cls: 2.8489, decode.d6.loss_mask: 1.5543, decode.d6.loss_dice: 3.0057, decode.d7.loss_cls: 2.8600, decode.d7.loss_mask: 1.5450, decode.d7.loss_dice: 2.9960, decode.d8.loss_cls: 2.8555, decode.d8.loss_mask: 1.5456, decode.d8.loss_dice: 3.0047, loss: 82.7129, grad_norm: 102.2357 2023-11-21 21:20:19,672 - mmseg - INFO - Iter [500/160000] lr: 3.159e-06, eta: 1 day, 1:55:03, time: 0.568, data_time: 0.015, memory: 38143, decode.loss_cls: 2.8792, decode.loss_mask: 1.4635, decode.loss_dice: 2.8934, decode.d0.loss_cls: 10.3877, decode.d0.loss_mask: 1.5504, decode.d0.loss_dice: 3.2600, decode.d1.loss_cls: 3.2606, decode.d1.loss_mask: 1.4678, decode.d1.loss_dice: 3.0206, decode.d2.loss_cls: 2.9955, decode.d2.loss_mask: 1.4570, decode.d2.loss_dice: 2.9314, decode.d3.loss_cls: 2.9496, decode.d3.loss_mask: 1.4640, decode.d3.loss_dice: 2.9035, decode.d4.loss_cls: 2.8897, decode.d4.loss_mask: 1.4575, decode.d4.loss_dice: 2.8897, decode.d5.loss_cls: 2.8654, decode.d5.loss_mask: 1.4650, decode.d5.loss_dice: 2.9059, decode.d6.loss_cls: 2.8617, decode.d6.loss_mask: 1.4626, decode.d6.loss_dice: 2.8902, decode.d7.loss_cls: 2.8718, decode.d7.loss_mask: 1.4588, decode.d7.loss_dice: 2.8818, decode.d8.loss_cls: 2.8734, decode.d8.loss_mask: 1.4527, decode.d8.loss_dice: 2.8912, loss: 81.0016, grad_norm: 102.0970 2023-11-21 21:20:47,934 - mmseg - INFO - Iter [550/160000] lr: 3.474e-06, eta: 1 day, 1:49:48, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 2.7000, decode.loss_mask: 1.4166, decode.loss_dice: 2.6958, decode.d0.loss_cls: 10.3822, decode.d0.loss_mask: 1.4893, decode.d0.loss_dice: 3.1196, decode.d1.loss_cls: 3.1277, decode.d1.loss_mask: 1.4046, decode.d1.loss_dice: 2.8410, decode.d2.loss_cls: 2.8938, decode.d2.loss_mask: 1.3984, decode.d2.loss_dice: 2.7385, decode.d3.loss_cls: 2.8280, decode.d3.loss_mask: 1.4031, decode.d3.loss_dice: 2.6968, decode.d4.loss_cls: 2.7675, decode.d4.loss_mask: 1.3998, decode.d4.loss_dice: 2.6896, decode.d5.loss_cls: 2.7355, decode.d5.loss_mask: 1.4035, decode.d5.loss_dice: 2.7003, decode.d6.loss_cls: 2.7108, decode.d6.loss_mask: 1.4072, decode.d6.loss_dice: 2.6878, decode.d7.loss_cls: 2.7127, decode.d7.loss_mask: 1.4081, decode.d7.loss_dice: 2.6837, decode.d8.loss_cls: 2.6979, decode.d8.loss_mask: 1.4076, decode.d8.loss_dice: 2.6950, loss: 77.2423, grad_norm: 117.4745 2023-11-21 21:21:16,220 - mmseg - INFO - Iter [600/160000] lr: 3.789e-06, eta: 1 day, 1:45:27, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 2.5803, decode.loss_mask: 1.3510, decode.loss_dice: 2.5416, decode.d0.loss_cls: 10.3711, decode.d0.loss_mask: 1.4427, decode.d0.loss_dice: 3.0085, decode.d1.loss_cls: 3.0495, decode.d1.loss_mask: 1.3458, decode.d1.loss_dice: 2.6787, decode.d2.loss_cls: 2.8211, decode.d2.loss_mask: 1.3396, decode.d2.loss_dice: 2.5668, decode.d3.loss_cls: 2.7405, decode.d3.loss_mask: 1.3358, decode.d3.loss_dice: 2.5298, decode.d4.loss_cls: 2.6784, decode.d4.loss_mask: 1.3378, decode.d4.loss_dice: 2.5234, decode.d5.loss_cls: 2.6356, decode.d5.loss_mask: 1.3405, decode.d5.loss_dice: 2.5438, decode.d6.loss_cls: 2.5903, decode.d6.loss_mask: 1.3527, decode.d6.loss_dice: 2.5334, decode.d7.loss_cls: 2.5974, decode.d7.loss_mask: 1.3476, decode.d7.loss_dice: 2.5214, decode.d8.loss_cls: 2.5893, decode.d8.loss_mask: 1.3503, decode.d8.loss_dice: 2.5291, loss: 74.1735, grad_norm: 118.4315 2023-11-21 21:21:44,531 - mmseg - INFO - Iter [650/160000] lr: 4.104e-06, eta: 1 day, 1:41:48, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 2.5074, decode.loss_mask: 1.3101, decode.loss_dice: 2.4343, decode.d0.loss_cls: 10.3653, decode.d0.loss_mask: 1.3952, decode.d0.loss_dice: 2.9303, decode.d1.loss_cls: 2.9424, decode.d1.loss_mask: 1.2960, decode.d1.loss_dice: 2.5608, decode.d2.loss_cls: 2.7316, decode.d2.loss_mask: 1.2993, decode.d2.loss_dice: 2.4645, decode.d3.loss_cls: 2.6302, decode.d3.loss_mask: 1.2948, decode.d3.loss_dice: 2.4341, decode.d4.loss_cls: 2.5750, decode.d4.loss_mask: 1.3003, decode.d4.loss_dice: 2.4310, decode.d5.loss_cls: 2.5414, decode.d5.loss_mask: 1.2993, decode.d5.loss_dice: 2.4452, decode.d6.loss_cls: 2.4981, decode.d6.loss_mask: 1.3085, decode.d6.loss_dice: 2.4305, decode.d7.loss_cls: 2.5061, decode.d7.loss_mask: 1.3016, decode.d7.loss_dice: 2.4204, decode.d8.loss_cls: 2.5053, decode.d8.loss_mask: 1.3058, decode.d8.loss_dice: 2.4298, loss: 71.8946, grad_norm: 122.8705 2023-11-21 21:22:12,846 - mmseg - INFO - Iter [700/160000] lr: 4.419e-06, eta: 1 day, 1:38:37, time: 0.566, data_time: 0.015, memory: 38143, decode.loss_cls: 2.4755, decode.loss_mask: 1.2685, decode.loss_dice: 2.2836, decode.d0.loss_cls: 10.3433, decode.d0.loss_mask: 1.3675, decode.d0.loss_dice: 2.8263, decode.d1.loss_cls: 2.9140, decode.d1.loss_mask: 1.2631, decode.d1.loss_dice: 2.4328, decode.d2.loss_cls: 2.6887, decode.d2.loss_mask: 1.2679, decode.d2.loss_dice: 2.3352, decode.d3.loss_cls: 2.5983, decode.d3.loss_mask: 1.2579, decode.d3.loss_dice: 2.3048, decode.d4.loss_cls: 2.5598, decode.d4.loss_mask: 1.2487, decode.d4.loss_dice: 2.2963, decode.d5.loss_cls: 2.5228, decode.d5.loss_mask: 1.2536, decode.d5.loss_dice: 2.2970, decode.d6.loss_cls: 2.4963, decode.d6.loss_mask: 1.2558, decode.d6.loss_dice: 2.2791, decode.d7.loss_cls: 2.4888, decode.d7.loss_mask: 1.2582, decode.d7.loss_dice: 2.2747, decode.d8.loss_cls: 2.4835, decode.d8.loss_mask: 1.2584, decode.d8.loss_dice: 2.2837, loss: 69.8840, grad_norm: 117.3247 2023-11-21 21:22:41,125 - mmseg - INFO - Iter [750/160000] lr: 4.734e-06, eta: 1 day, 1:35:40, time: 0.566, data_time: 0.015, memory: 38143, decode.loss_cls: 2.4527, decode.loss_mask: 1.2659, decode.loss_dice: 2.1514, decode.d0.loss_cls: 10.3293, decode.d0.loss_mask: 1.3680, decode.d0.loss_dice: 2.7420, decode.d1.loss_cls: 2.8832, decode.d1.loss_mask: 1.2581, decode.d1.loss_dice: 2.3044, decode.d2.loss_cls: 2.6654, decode.d2.loss_mask: 1.2578, decode.d2.loss_dice: 2.2116, decode.d3.loss_cls: 2.5768, decode.d3.loss_mask: 1.2490, decode.d3.loss_dice: 2.1785, decode.d4.loss_cls: 2.5290, decode.d4.loss_mask: 1.2582, decode.d4.loss_dice: 2.1790, decode.d5.loss_cls: 2.4980, decode.d5.loss_mask: 1.2604, decode.d5.loss_dice: 2.1734, decode.d6.loss_cls: 2.4827, decode.d6.loss_mask: 1.2571, decode.d6.loss_dice: 2.1500, decode.d7.loss_cls: 2.4636, decode.d7.loss_mask: 1.2707, decode.d7.loss_dice: 2.1593, decode.d8.loss_cls: 2.4480, decode.d8.loss_mask: 1.2716, decode.d8.loss_dice: 2.1628, loss: 68.4581, grad_norm: 119.8966 2023-11-21 21:23:09,435 - mmseg - INFO - Iter [800/160000] lr: 5.048e-06, eta: 1 day, 1:33:07, time: 0.566, data_time: 0.015, memory: 38143, decode.loss_cls: 2.4796, decode.loss_mask: 1.1821, decode.loss_dice: 2.1125, decode.d0.loss_cls: 10.3045, decode.d0.loss_mask: 1.2779, decode.d0.loss_dice: 2.7054, decode.d1.loss_cls: 2.9297, decode.d1.loss_mask: 1.1799, decode.d1.loss_dice: 2.2546, decode.d2.loss_cls: 2.6950, decode.d2.loss_mask: 1.1816, decode.d2.loss_dice: 2.1691, decode.d3.loss_cls: 2.5907, decode.d3.loss_mask: 1.1662, decode.d3.loss_dice: 2.1360, decode.d4.loss_cls: 2.5460, decode.d4.loss_mask: 1.1724, decode.d4.loss_dice: 2.1353, decode.d5.loss_cls: 2.5155, decode.d5.loss_mask: 1.1723, decode.d5.loss_dice: 2.1146, decode.d6.loss_cls: 2.4894, decode.d6.loss_mask: 1.1717, decode.d6.loss_dice: 2.1052, decode.d7.loss_cls: 2.4820, decode.d7.loss_mask: 1.1755, decode.d7.loss_dice: 2.1055, decode.d8.loss_cls: 2.4732, decode.d8.loss_mask: 1.1814, decode.d8.loss_dice: 2.1108, loss: 67.3158, grad_norm: 121.2832 2023-11-21 21:23:37,735 - mmseg - INFO - Iter [850/160000] lr: 5.362e-06, eta: 1 day, 1:30:48, time: 0.566, data_time: 0.015, memory: 38143, decode.loss_cls: 2.3360, decode.loss_mask: 1.1186, decode.loss_dice: 1.9651, decode.d0.loss_cls: 10.2786, decode.d0.loss_mask: 1.2051, decode.d0.loss_dice: 2.5756, decode.d1.loss_cls: 2.7785, decode.d1.loss_mask: 1.1199, decode.d1.loss_dice: 2.1085, decode.d2.loss_cls: 2.5420, decode.d2.loss_mask: 1.1163, decode.d2.loss_dice: 2.0048, decode.d3.loss_cls: 2.4473, decode.d3.loss_mask: 1.1110, decode.d3.loss_dice: 1.9770, decode.d4.loss_cls: 2.4054, decode.d4.loss_mask: 1.1162, decode.d4.loss_dice: 1.9764, decode.d5.loss_cls: 2.3784, decode.d5.loss_mask: 1.1171, decode.d5.loss_dice: 1.9641, decode.d6.loss_cls: 2.3538, decode.d6.loss_mask: 1.1178, decode.d6.loss_dice: 1.9558, decode.d7.loss_cls: 2.3383, decode.d7.loss_mask: 1.1193, decode.d7.loss_dice: 1.9699, decode.d8.loss_cls: 2.3371, decode.d8.loss_mask: 1.1134, decode.d8.loss_dice: 1.9636, loss: 63.9107, grad_norm: 122.1856 2023-11-21 21:24:06,097 - mmseg - INFO - Iter [900/160000] lr: 5.676e-06, eta: 1 day, 1:28:52, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 2.3719, decode.loss_mask: 1.1334, decode.loss_dice: 1.9829, decode.d0.loss_cls: 10.2548, decode.d0.loss_mask: 1.2104, decode.d0.loss_dice: 2.5935, decode.d1.loss_cls: 2.8386, decode.d1.loss_mask: 1.1275, decode.d1.loss_dice: 2.1116, decode.d2.loss_cls: 2.6041, decode.d2.loss_mask: 1.1259, decode.d2.loss_dice: 2.0262, decode.d3.loss_cls: 2.4751, decode.d3.loss_mask: 1.1188, decode.d3.loss_dice: 1.9952, decode.d4.loss_cls: 2.4339, decode.d4.loss_mask: 1.1277, decode.d4.loss_dice: 2.0111, decode.d5.loss_cls: 2.4024, decode.d5.loss_mask: 1.1292, decode.d5.loss_dice: 1.9969, decode.d6.loss_cls: 2.3756, decode.d6.loss_mask: 1.1240, decode.d6.loss_dice: 1.9830, decode.d7.loss_cls: 2.3727, decode.d7.loss_mask: 1.1260, decode.d7.loss_dice: 1.9931, decode.d8.loss_cls: 2.3748, decode.d8.loss_mask: 1.1235, decode.d8.loss_dice: 1.9861, loss: 64.5299, grad_norm: 111.5159 2023-11-21 21:24:34,389 - mmseg - INFO - Iter [950/160000] lr: 5.990e-06, eta: 1 day, 1:26:53, time: 0.566, data_time: 0.016, memory: 38143, decode.loss_cls: 2.3372, decode.loss_mask: 1.1203, decode.loss_dice: 1.9069, decode.d0.loss_cls: 10.2255, decode.d0.loss_mask: 1.1864, decode.d0.loss_dice: 2.5050, decode.d1.loss_cls: 2.8006, decode.d1.loss_mask: 1.1201, decode.d1.loss_dice: 2.0270, decode.d2.loss_cls: 2.5587, decode.d2.loss_mask: 1.1082, decode.d2.loss_dice: 1.9449, decode.d3.loss_cls: 2.4431, decode.d3.loss_mask: 1.1086, decode.d3.loss_dice: 1.9248, decode.d4.loss_cls: 2.4106, decode.d4.loss_mask: 1.1171, decode.d4.loss_dice: 1.9327, decode.d5.loss_cls: 2.3775, decode.d5.loss_mask: 1.1291, decode.d5.loss_dice: 1.9150, decode.d6.loss_cls: 2.3443, decode.d6.loss_mask: 1.1268, decode.d6.loss_dice: 1.9043, decode.d7.loss_cls: 2.3482, decode.d7.loss_mask: 1.1168, decode.d7.loss_dice: 1.9093, decode.d8.loss_cls: 2.3410, decode.d8.loss_mask: 1.1264, decode.d8.loss_dice: 1.9073, loss: 63.3235, grad_norm: 117.1854 2023-11-21 21:25:02,965 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-21 21:25:02,965 - mmseg - INFO - Iter [1000/160000] lr: 6.304e-06, eta: 1 day, 1:25:49, time: 0.572, data_time: 0.016, memory: 38143, decode.loss_cls: 2.2803, decode.loss_mask: 1.0767, decode.loss_dice: 1.8644, decode.d0.loss_cls: 10.1924, decode.d0.loss_mask: 1.1393, decode.d0.loss_dice: 2.4594, decode.d1.loss_cls: 2.7195, decode.d1.loss_mask: 1.0690, decode.d1.loss_dice: 1.9809, decode.d2.loss_cls: 2.4809, decode.d2.loss_mask: 1.0637, decode.d2.loss_dice: 1.8892, decode.d3.loss_cls: 2.3700, decode.d3.loss_mask: 1.0572, decode.d3.loss_dice: 1.8729, decode.d4.loss_cls: 2.3508, decode.d4.loss_mask: 1.0588, decode.d4.loss_dice: 1.8746, decode.d5.loss_cls: 2.3246, decode.d5.loss_mask: 1.0678, decode.d5.loss_dice: 1.8607, decode.d6.loss_cls: 2.2958, decode.d6.loss_mask: 1.0629, decode.d6.loss_dice: 1.8498, decode.d7.loss_cls: 2.2916, decode.d7.loss_mask: 1.0679, decode.d7.loss_dice: 1.8684, decode.d8.loss_cls: 2.2866, decode.d8.loss_mask: 1.0737, decode.d8.loss_dice: 1.8655, loss: 61.7154, grad_norm: 109.8609 2023-11-21 21:25:31,564 - mmseg - INFO - Iter [1050/160000] lr: 6.617e-06, eta: 1 day, 1:24:51, time: 0.572, data_time: 0.015, memory: 38143, decode.loss_cls: 2.1718, decode.loss_mask: 1.0809, decode.loss_dice: 1.7834, decode.d0.loss_cls: 10.1619, decode.d0.loss_mask: 1.1393, decode.d0.loss_dice: 2.3744, decode.d1.loss_cls: 2.6179, decode.d1.loss_mask: 1.0720, decode.d1.loss_dice: 1.8817, decode.d2.loss_cls: 2.3686, decode.d2.loss_mask: 1.0585, decode.d2.loss_dice: 1.7883, decode.d3.loss_cls: 2.2686, decode.d3.loss_mask: 1.0548, decode.d3.loss_dice: 1.7719, decode.d4.loss_cls: 2.2432, decode.d4.loss_mask: 1.0585, decode.d4.loss_dice: 1.7744, decode.d5.loss_cls: 2.2243, decode.d5.loss_mask: 1.0645, decode.d5.loss_dice: 1.7733, decode.d6.loss_cls: 2.1910, decode.d6.loss_mask: 1.0698, decode.d6.loss_dice: 1.7661, decode.d7.loss_cls: 2.1889, decode.d7.loss_mask: 1.0708, decode.d7.loss_dice: 1.7769, decode.d8.loss_cls: 2.1806, decode.d8.loss_mask: 1.0751, decode.d8.loss_dice: 1.7712, loss: 59.8227, grad_norm: 110.6485 2023-11-21 21:26:00,020 - mmseg - INFO - Iter [1100/160000] lr: 6.931e-06, eta: 1 day, 1:23:36, time: 0.569, data_time: 0.015, memory: 38143, decode.loss_cls: 2.2187, decode.loss_mask: 1.0627, decode.loss_dice: 1.7967, decode.d0.loss_cls: 10.1287, decode.d0.loss_mask: 1.1155, decode.d0.loss_dice: 2.3742, decode.d1.loss_cls: 2.6656, decode.d1.loss_mask: 1.0574, decode.d1.loss_dice: 1.8944, decode.d2.loss_cls: 2.4289, decode.d2.loss_mask: 1.0472, decode.d2.loss_dice: 1.8043, decode.d3.loss_cls: 2.3302, decode.d3.loss_mask: 1.0384, decode.d3.loss_dice: 1.7858, decode.d4.loss_cls: 2.3040, decode.d4.loss_mask: 1.0399, decode.d4.loss_dice: 1.7935, decode.d5.loss_cls: 2.2764, decode.d5.loss_mask: 1.0531, decode.d5.loss_dice: 1.7899, decode.d6.loss_cls: 2.2446, decode.d6.loss_mask: 1.0505, decode.d6.loss_dice: 1.7807, decode.d7.loss_cls: 2.2336, decode.d7.loss_mask: 1.0598, decode.d7.loss_dice: 1.7929, decode.d8.loss_cls: 2.2275, decode.d8.loss_mask: 1.0602, decode.d8.loss_dice: 1.7937, loss: 60.2488, grad_norm: 110.1827 2023-11-21 21:26:28,440 - mmseg - INFO - Iter [1150/160000] lr: 7.244e-06, eta: 1 day, 1:22:19, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 2.1227, decode.loss_mask: 1.0350, decode.loss_dice: 1.7512, decode.d0.loss_cls: 10.0822, decode.d0.loss_mask: 1.0968, decode.d0.loss_dice: 2.3019, decode.d1.loss_cls: 2.5433, decode.d1.loss_mask: 1.0268, decode.d1.loss_dice: 1.8257, decode.d2.loss_cls: 2.3102, decode.d2.loss_mask: 1.0267, decode.d2.loss_dice: 1.7602, decode.d3.loss_cls: 2.2142, decode.d3.loss_mask: 1.0134, decode.d3.loss_dice: 1.7492, decode.d4.loss_cls: 2.1957, decode.d4.loss_mask: 1.0196, decode.d4.loss_dice: 1.7538, decode.d5.loss_cls: 2.1669, decode.d5.loss_mask: 1.0260, decode.d5.loss_dice: 1.7510, decode.d6.loss_cls: 2.1333, decode.d6.loss_mask: 1.0220, decode.d6.loss_dice: 1.7418, decode.d7.loss_cls: 2.1301, decode.d7.loss_mask: 1.0268, decode.d7.loss_dice: 1.7541, decode.d8.loss_cls: 2.1190, decode.d8.loss_mask: 1.0365, decode.d8.loss_dice: 1.7516, loss: 58.4878, grad_norm: 117.6215 2023-11-21 21:26:56,771 - mmseg - INFO - Iter [1200/160000] lr: 7.556e-06, eta: 1 day, 1:20:55, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 2.0089, decode.loss_mask: 1.0692, decode.loss_dice: 1.6686, decode.d0.loss_cls: 10.0404, decode.d0.loss_mask: 1.1302, decode.d0.loss_dice: 2.1974, decode.d1.loss_cls: 2.4138, decode.d1.loss_mask: 1.0640, decode.d1.loss_dice: 1.7307, decode.d2.loss_cls: 2.1951, decode.d2.loss_mask: 1.0502, decode.d2.loss_dice: 1.6669, decode.d3.loss_cls: 2.0978, decode.d3.loss_mask: 1.0450, decode.d3.loss_dice: 1.6460, decode.d4.loss_cls: 2.0857, decode.d4.loss_mask: 1.0450, decode.d4.loss_dice: 1.6524, decode.d5.loss_cls: 2.0481, decode.d5.loss_mask: 1.0606, decode.d5.loss_dice: 1.6488, decode.d6.loss_cls: 2.0205, decode.d6.loss_mask: 1.0610, decode.d6.loss_dice: 1.6465, decode.d7.loss_cls: 2.0155, decode.d7.loss_mask: 1.0705, decode.d7.loss_dice: 1.6573, decode.d8.loss_cls: 2.0049, decode.d8.loss_mask: 1.0681, decode.d8.loss_dice: 1.6628, loss: 56.7718, grad_norm: 111.0680 2023-11-21 21:27:25,400 - mmseg - INFO - Iter [1250/160000] lr: 7.869e-06, eta: 1 day, 1:20:13, time: 0.573, data_time: 0.015, memory: 38143, decode.loss_cls: 2.0412, decode.loss_mask: 1.0484, decode.loss_dice: 1.7257, decode.d0.loss_cls: 9.9949, decode.d0.loss_mask: 1.1079, decode.d0.loss_dice: 2.2659, decode.d1.loss_cls: 2.4546, decode.d1.loss_mask: 1.0440, decode.d1.loss_dice: 1.7991, decode.d2.loss_cls: 2.2434, decode.d2.loss_mask: 1.0228, decode.d2.loss_dice: 1.7339, decode.d3.loss_cls: 2.1464, decode.d3.loss_mask: 1.0234, decode.d3.loss_dice: 1.7102, decode.d4.loss_cls: 2.1204, decode.d4.loss_mask: 1.0314, decode.d4.loss_dice: 1.7248, decode.d5.loss_cls: 2.0857, decode.d5.loss_mask: 1.0340, decode.d5.loss_dice: 1.7113, decode.d6.loss_cls: 2.0569, decode.d6.loss_mask: 1.0333, decode.d6.loss_dice: 1.7092, decode.d7.loss_cls: 2.0544, decode.d7.loss_mask: 1.0359, decode.d7.loss_dice: 1.7178, decode.d8.loss_cls: 2.0566, decode.d8.loss_mask: 1.0432, decode.d8.loss_dice: 1.7144, loss: 57.4911, grad_norm: 106.7178 2023-11-21 21:27:56,201 - mmseg - INFO - Iter [1300/160000] lr: 8.182e-06, eta: 1 day, 1:23:57, time: 0.616, data_time: 0.062, memory: 38143, decode.loss_cls: 2.0086, decode.loss_mask: 1.0279, decode.loss_dice: 1.6846, decode.d0.loss_cls: 9.9568, decode.d0.loss_mask: 1.0730, decode.d0.loss_dice: 2.2096, decode.d1.loss_cls: 2.4077, decode.d1.loss_mask: 1.0219, decode.d1.loss_dice: 1.7535, decode.d2.loss_cls: 2.2096, decode.d2.loss_mask: 1.0029, decode.d2.loss_dice: 1.6853, decode.d3.loss_cls: 2.1162, decode.d3.loss_mask: 0.9916, decode.d3.loss_dice: 1.6653, decode.d4.loss_cls: 2.0795, decode.d4.loss_mask: 1.0015, decode.d4.loss_dice: 1.6676, decode.d5.loss_cls: 2.0543, decode.d5.loss_mask: 1.0090, decode.d5.loss_dice: 1.6593, decode.d6.loss_cls: 2.0249, decode.d6.loss_mask: 1.0062, decode.d6.loss_dice: 1.6599, decode.d7.loss_cls: 2.0189, decode.d7.loss_mask: 1.0108, decode.d7.loss_dice: 1.6666, decode.d8.loss_cls: 2.0158, decode.d8.loss_mask: 1.0187, decode.d8.loss_dice: 1.6684, loss: 56.3758, grad_norm: 110.1001 2023-11-21 21:28:24,561 - mmseg - INFO - Iter [1350/160000] lr: 8.494e-06, eta: 1 day, 1:22:35, time: 0.567, data_time: 0.015, memory: 38143, decode.loss_cls: 1.9865, decode.loss_mask: 1.0121, decode.loss_dice: 1.6301, decode.d0.loss_cls: 9.9112, decode.d0.loss_mask: 1.0712, decode.d0.loss_dice: 2.1632, decode.d1.loss_cls: 2.3907, decode.d1.loss_mask: 1.0032, decode.d1.loss_dice: 1.6910, decode.d2.loss_cls: 2.1962, decode.d2.loss_mask: 0.9945, decode.d2.loss_dice: 1.6314, decode.d3.loss_cls: 2.0948, decode.d3.loss_mask: 0.9946, decode.d3.loss_dice: 1.6185, decode.d4.loss_cls: 2.0619, decode.d4.loss_mask: 0.9990, decode.d4.loss_dice: 1.6237, decode.d5.loss_cls: 2.0326, decode.d5.loss_mask: 1.0095, decode.d5.loss_dice: 1.6239, decode.d6.loss_cls: 2.0037, decode.d6.loss_mask: 1.0014, decode.d6.loss_dice: 1.6100, decode.d7.loss_cls: 2.0064, decode.d7.loss_mask: 1.0052, decode.d7.loss_dice: 1.6203, decode.d8.loss_cls: 1.9912, decode.d8.loss_mask: 1.0126, decode.d8.loss_dice: 1.6261, loss: 55.6169, grad_norm: 111.5076 2023-11-21 21:28:52,891 - mmseg - INFO - Iter [1400/160000] lr: 8.806e-06, eta: 1 day, 1:21:14, time: 0.567, data_time: 0.015, memory: 38143, decode.loss_cls: 1.9702, decode.loss_mask: 0.9825, decode.loss_dice: 1.6205, decode.d0.loss_cls: 9.8570, decode.d0.loss_mask: 1.0519, decode.d0.loss_dice: 2.1461, decode.d1.loss_cls: 2.3502, decode.d1.loss_mask: 0.9872, decode.d1.loss_dice: 1.6794, decode.d2.loss_cls: 2.1504, decode.d2.loss_mask: 0.9645, decode.d2.loss_dice: 1.6136, decode.d3.loss_cls: 2.0562, decode.d3.loss_mask: 0.9649, decode.d3.loss_dice: 1.5999, decode.d4.loss_cls: 2.0259, decode.d4.loss_mask: 0.9811, decode.d4.loss_dice: 1.6061, decode.d5.loss_cls: 1.9946, decode.d5.loss_mask: 0.9867, decode.d5.loss_dice: 1.6091, decode.d6.loss_cls: 1.9704, decode.d6.loss_mask: 0.9877, decode.d6.loss_dice: 1.6041, decode.d7.loss_cls: 1.9893, decode.d7.loss_mask: 0.9873, decode.d7.loss_dice: 1.6156, decode.d8.loss_cls: 1.9733, decode.d8.loss_mask: 0.9920, decode.d8.loss_dice: 1.6182, loss: 54.9358, grad_norm: 109.8107 2023-11-21 21:29:21,290 - mmseg - INFO - Iter [1450/160000] lr: 9.118e-06, eta: 1 day, 1:20:04, time: 0.568, data_time: 0.016, memory: 38143, decode.loss_cls: 1.9228, decode.loss_mask: 1.0251, decode.loss_dice: 1.6422, decode.d0.loss_cls: 9.8060, decode.d0.loss_mask: 1.0519, decode.d0.loss_dice: 2.1188, decode.d1.loss_cls: 2.2954, decode.d1.loss_mask: 1.0198, decode.d1.loss_dice: 1.6823, decode.d2.loss_cls: 2.0884, decode.d2.loss_mask: 1.0074, decode.d2.loss_dice: 1.6343, decode.d3.loss_cls: 1.9931, decode.d3.loss_mask: 1.0036, decode.d3.loss_dice: 1.6217, decode.d4.loss_cls: 1.9737, decode.d4.loss_mask: 1.0106, decode.d4.loss_dice: 1.6289, decode.d5.loss_cls: 1.9495, decode.d5.loss_mask: 1.0168, decode.d5.loss_dice: 1.6322, decode.d6.loss_cls: 1.9363, decode.d6.loss_mask: 1.0071, decode.d6.loss_dice: 1.6154, decode.d7.loss_cls: 1.9358, decode.d7.loss_mask: 1.0075, decode.d7.loss_dice: 1.6328, decode.d8.loss_cls: 1.9340, decode.d8.loss_mask: 1.0201, decode.d8.loss_dice: 1.6364, loss: 54.8497, grad_norm: 106.9168 2023-11-21 21:29:49,623 - mmseg - INFO - Iter [1500/160000] lr: 9.429e-06, eta: 1 day, 1:18:50, time: 0.567, data_time: 0.015, memory: 38143, decode.loss_cls: 1.8540, decode.loss_mask: 1.0131, decode.loss_dice: 1.5792, decode.d0.loss_cls: 9.7393, decode.d0.loss_mask: 1.0602, decode.d0.loss_dice: 2.0507, decode.d1.loss_cls: 2.2266, decode.d1.loss_mask: 1.0175, decode.d1.loss_dice: 1.6168, decode.d2.loss_cls: 2.0389, decode.d2.loss_mask: 0.9819, decode.d2.loss_dice: 1.5537, decode.d3.loss_cls: 1.9527, decode.d3.loss_mask: 0.9918, decode.d3.loss_dice: 1.5375, decode.d4.loss_cls: 1.9278, decode.d4.loss_mask: 0.9998, decode.d4.loss_dice: 1.5523, decode.d5.loss_cls: 1.8959, decode.d5.loss_mask: 1.0027, decode.d5.loss_dice: 1.5546, decode.d6.loss_cls: 1.8731, decode.d6.loss_mask: 1.0029, decode.d6.loss_dice: 1.5541, decode.d7.loss_cls: 1.8648, decode.d7.loss_mask: 1.0147, decode.d7.loss_dice: 1.5623, decode.d8.loss_cls: 1.8615, decode.d8.loss_mask: 1.0162, decode.d8.loss_dice: 1.5676, loss: 53.4642, grad_norm: 105.3290 2023-11-21 21:30:18,189 - mmseg - INFO - Iter [1550/160000] lr: 9.433e-06, eta: 1 day, 1:18:03, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 1.8712, decode.loss_mask: 1.0029, decode.loss_dice: 1.5855, decode.d0.loss_cls: 9.6883, decode.d0.loss_mask: 1.0477, decode.d0.loss_dice: 2.0766, decode.d1.loss_cls: 2.2339, decode.d1.loss_mask: 1.0012, decode.d1.loss_dice: 1.6543, decode.d2.loss_cls: 2.0529, decode.d2.loss_mask: 0.9847, decode.d2.loss_dice: 1.5838, decode.d3.loss_cls: 1.9779, decode.d3.loss_mask: 0.9706, decode.d3.loss_dice: 1.5638, decode.d4.loss_cls: 1.9391, decode.d4.loss_mask: 0.9901, decode.d4.loss_dice: 1.5814, decode.d5.loss_cls: 1.9062, decode.d5.loss_mask: 1.0043, decode.d5.loss_dice: 1.5827, decode.d6.loss_cls: 1.8867, decode.d6.loss_mask: 1.0035, decode.d6.loss_dice: 1.5845, decode.d7.loss_cls: 1.8899, decode.d7.loss_mask: 0.9971, decode.d7.loss_dice: 1.5868, decode.d8.loss_cls: 1.8878, decode.d8.loss_mask: 0.9942, decode.d8.loss_dice: 1.5914, loss: 53.7211, grad_norm: 102.2816 2023-11-21 21:30:46,680 - mmseg - INFO - Iter [1600/160000] lr: 9.430e-06, eta: 1 day, 1:17:09, time: 0.570, data_time: 0.015, memory: 38143, decode.loss_cls: 1.8358, decode.loss_mask: 0.9395, decode.loss_dice: 1.5655, decode.d0.loss_cls: 9.6185, decode.d0.loss_mask: 1.0018, decode.d0.loss_dice: 2.0505, decode.d1.loss_cls: 2.1937, decode.d1.loss_mask: 0.9613, decode.d1.loss_dice: 1.6304, decode.d2.loss_cls: 1.9898, decode.d2.loss_mask: 0.9358, decode.d2.loss_dice: 1.5697, decode.d3.loss_cls: 1.9201, decode.d3.loss_mask: 0.9252, decode.d3.loss_dice: 1.5602, decode.d4.loss_cls: 1.8873, decode.d4.loss_mask: 0.9326, decode.d4.loss_dice: 1.5696, decode.d5.loss_cls: 1.8676, decode.d5.loss_mask: 0.9316, decode.d5.loss_dice: 1.5756, decode.d6.loss_cls: 1.8530, decode.d6.loss_mask: 0.9331, decode.d6.loss_dice: 1.5613, decode.d7.loss_cls: 1.8497, decode.d7.loss_mask: 0.9381, decode.d7.loss_dice: 1.5647, decode.d8.loss_cls: 1.8435, decode.d8.loss_mask: 0.9380, decode.d8.loss_dice: 1.5631, loss: 52.5069, grad_norm: 98.1872 2023-11-21 21:31:15,028 - mmseg - INFO - Iter [1650/160000] lr: 9.427e-06, eta: 1 day, 1:16:03, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 1.7656, decode.loss_mask: 0.9725, decode.loss_dice: 1.5380, decode.d0.loss_cls: 9.5412, decode.d0.loss_mask: 1.0041, decode.d0.loss_dice: 1.9964, decode.d1.loss_cls: 2.1474, decode.d1.loss_mask: 0.9712, decode.d1.loss_dice: 1.5919, decode.d2.loss_cls: 1.9479, decode.d2.loss_mask: 0.9497, decode.d2.loss_dice: 1.5313, decode.d3.loss_cls: 1.8668, decode.d3.loss_mask: 0.9549, decode.d3.loss_dice: 1.5121, decode.d4.loss_cls: 1.8367, decode.d4.loss_mask: 0.9551, decode.d4.loss_dice: 1.5175, decode.d5.loss_cls: 1.8113, decode.d5.loss_mask: 0.9601, decode.d5.loss_dice: 1.5287, decode.d6.loss_cls: 1.7913, decode.d6.loss_mask: 0.9573, decode.d6.loss_dice: 1.5099, decode.d7.loss_cls: 1.7797, decode.d7.loss_mask: 0.9632, decode.d7.loss_dice: 1.5243, decode.d8.loss_cls: 1.7770, decode.d8.loss_mask: 0.9740, decode.d8.loss_dice: 1.5323, loss: 51.7094, grad_norm: 97.8122 2023-11-21 21:31:43,435 - mmseg - INFO - Iter [1700/160000] lr: 9.424e-06, eta: 1 day, 1:15:05, time: 0.568, data_time: 0.015, memory: 38143, decode.loss_cls: 1.7932, decode.loss_mask: 0.9867, decode.loss_dice: 1.5405, decode.d0.loss_cls: 9.4912, decode.d0.loss_mask: 1.0371, decode.d0.loss_dice: 2.0082, decode.d1.loss_cls: 2.1524, decode.d1.loss_mask: 0.9899, decode.d1.loss_dice: 1.5907, decode.d2.loss_cls: 1.9542, decode.d2.loss_mask: 0.9773, decode.d2.loss_dice: 1.5321, decode.d3.loss_cls: 1.8572, decode.d3.loss_mask: 0.9733, decode.d3.loss_dice: 1.5221, decode.d4.loss_cls: 1.8258, decode.d4.loss_mask: 0.9757, decode.d4.loss_dice: 1.5357, decode.d5.loss_cls: 1.8172, decode.d5.loss_mask: 0.9785, decode.d5.loss_dice: 1.5345, decode.d6.loss_cls: 1.7997, decode.d6.loss_mask: 0.9793, decode.d6.loss_dice: 1.5288, decode.d7.loss_cls: 1.8024, decode.d7.loss_mask: 0.9804, decode.d7.loss_dice: 1.5363, decode.d8.loss_cls: 1.7902, decode.d8.loss_mask: 0.9808, decode.d8.loss_dice: 1.5269, loss: 51.9983, grad_norm: 103.1551 2023-11-21 21:32:11,898 - mmseg - INFO - Iter [1750/160000] lr: 9.421e-06, eta: 1 day, 1:14:14, time: 0.569, data_time: 0.015, memory: 38143, decode.loss_cls: 1.7680, decode.loss_mask: 0.9599, decode.loss_dice: 1.5390, decode.d0.loss_cls: 9.4190, decode.d0.loss_mask: 1.0011, decode.d0.loss_dice: 2.0039, decode.d1.loss_cls: 2.1436, decode.d1.loss_mask: 0.9609, decode.d1.loss_dice: 1.6013, decode.d2.loss_cls: 1.9408, decode.d2.loss_mask: 0.9424, decode.d2.loss_dice: 1.5357, decode.d3.loss_cls: 1.8554, decode.d3.loss_mask: 0.9453, decode.d3.loss_dice: 1.5221, decode.d4.loss_cls: 1.8282, decode.d4.loss_mask: 0.9493, decode.d4.loss_dice: 1.5286, decode.d5.loss_cls: 1.7946, decode.d5.loss_mask: 0.9574, decode.d5.loss_dice: 1.5325, decode.d6.loss_cls: 1.7728, decode.d6.loss_mask: 0.9585, decode.d6.loss_dice: 1.5236, decode.d7.loss_cls: 1.7761, decode.d7.loss_mask: 0.9569, decode.d7.loss_dice: 1.5256, decode.d8.loss_cls: 1.7726, decode.d8.loss_mask: 0.9588, decode.d8.loss_dice: 1.5330, loss: 51.5068, grad_norm: 104.7060 2023-11-21 21:32:40,176 - mmseg - INFO - Iter [1800/160000] lr: 9.418e-06, eta: 1 day, 1:13:08, time: 0.566, data_time: 0.015, memory: 38143, decode.loss_cls: 1.7522, decode.loss_mask: 0.9893, decode.loss_dice: 1.5436, decode.d0.loss_cls: 9.3561, decode.d0.loss_mask: 1.0176, decode.d0.loss_dice: 1.9871, decode.d1.loss_cls: 2.1116, decode.d1.loss_mask: 0.9893, decode.d1.loss_dice: 1.5900, decode.d2.loss_cls: 1.9241, decode.d2.loss_mask: 0.9668, decode.d2.loss_dice: 1.5419, decode.d3.loss_cls: 1.8456, decode.d3.loss_mask: 0.9600, decode.d3.loss_dice: 1.5195, decode.d4.loss_cls: 1.8191, decode.d4.loss_mask: 0.9711, decode.d4.loss_dice: 1.5353, decode.d5.loss_cls: 1.8113, decode.d5.loss_mask: 0.9753, decode.d5.loss_dice: 1.5289, decode.d6.loss_cls: 1.7789, decode.d6.loss_mask: 0.9787, decode.d6.loss_dice: 1.5230, decode.d7.loss_cls: 1.7695, decode.d7.loss_mask: 0.9811, decode.d7.loss_dice: 1.5363, decode.d8.loss_cls: 1.7612, decode.d8.loss_mask: 0.9849, decode.d8.loss_dice: 1.5338, loss: 51.5830, grad_norm: 105.8211 2023-11-21 21:33:08,652 - mmseg - INFO - Iter [1850/160000] lr: 9.415e-06, eta: 1 day, 1:12:20, time: 0.570, data_time: 0.015, memory: 38143, decode.loss_cls: 1.6996, decode.loss_mask: 0.9606, decode.loss_dice: 1.4731, decode.d0.loss_cls: 9.2863, decode.d0.loss_mask: 0.9968, decode.d0.loss_dice: 1.9221, decode.d1.loss_cls: 2.0598, decode.d1.loss_mask: 0.9761, decode.d1.loss_dice: 1.5378, decode.d2.loss_cls: 1.8338, decode.d2.loss_mask: 0.9571, decode.d2.loss_dice: 1.4765, decode.d3.loss_cls: 1.7630, decode.d3.loss_mask: 0.9447, decode.d3.loss_dice: 1.4635, decode.d4.loss_cls: 1.7377, decode.d4.loss_mask: 0.9606, decode.d4.loss_dice: 1.4746, decode.d5.loss_cls: 1.7304, decode.d5.loss_mask: 0.9518, decode.d5.loss_dice: 1.4697, decode.d6.loss_cls: 1.7076, decode.d6.loss_mask: 0.9503, decode.d6.loss_dice: 1.4648, decode.d7.loss_cls: 1.7090, decode.d7.loss_mask: 0.9534, decode.d7.loss_dice: 1.4741, decode.d8.loss_cls: 1.6990, decode.d8.loss_mask: 0.9591, decode.d8.loss_dice: 1.4683, loss: 50.0611, grad_norm: 95.9453 2023-11-21 21:33:36,982 - mmseg - INFO - Iter [1900/160000] lr: 9.412e-06, eta: 1 day, 1:11:22, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 1.6611, decode.loss_mask: 0.9655, decode.loss_dice: 1.5188, decode.d0.loss_cls: 9.2096, decode.d0.loss_mask: 0.9950, decode.d0.loss_dice: 1.9643, decode.d1.loss_cls: 2.0176, decode.d1.loss_mask: 0.9724, decode.d1.loss_dice: 1.5812, decode.d2.loss_cls: 1.8217, decode.d2.loss_mask: 0.9435, decode.d2.loss_dice: 1.5253, decode.d3.loss_cls: 1.7595, decode.d3.loss_mask: 0.9370, decode.d3.loss_dice: 1.4922, decode.d4.loss_cls: 1.7218, decode.d4.loss_mask: 0.9537, decode.d4.loss_dice: 1.5163, decode.d5.loss_cls: 1.7037, decode.d5.loss_mask: 0.9650, decode.d5.loss_dice: 1.5099, decode.d6.loss_cls: 1.6894, decode.d6.loss_mask: 0.9635, decode.d6.loss_dice: 1.4980, decode.d7.loss_cls: 1.6816, decode.d7.loss_mask: 0.9640, decode.d7.loss_dice: 1.5113, decode.d8.loss_cls: 1.6609, decode.d8.loss_mask: 0.9706, decode.d8.loss_dice: 1.5139, loss: 50.1886, grad_norm: 94.6016 2023-11-21 21:34:05,317 - mmseg - INFO - Iter [1950/160000] lr: 9.409e-06, eta: 1 day, 1:10:25, time: 0.567, data_time: 0.016, memory: 38143, decode.loss_cls: 1.6621, decode.loss_mask: 0.9321, decode.loss_dice: 1.4648, decode.d0.loss_cls: 9.1444, decode.d0.loss_mask: 0.9692, decode.d0.loss_dice: 1.9177, decode.d1.loss_cls: 2.0434, decode.d1.loss_mask: 0.9319, decode.d1.loss_dice: 1.5292, decode.d2.loss_cls: 1.8254, decode.d2.loss_mask: 0.9178, decode.d2.loss_dice: 1.4801, decode.d3.loss_cls: 1.7497, decode.d3.loss_mask: 0.9203, decode.d3.loss_dice: 1.4559, decode.d4.loss_cls: 1.7269, decode.d4.loss_mask: 0.9247, decode.d4.loss_dice: 1.4707, decode.d5.loss_cls: 1.6987, decode.d5.loss_mask: 0.9255, decode.d5.loss_dice: 1.4664, decode.d6.loss_cls: 1.6894, decode.d6.loss_mask: 0.9204, decode.d6.loss_dice: 1.4525, decode.d7.loss_cls: 1.6745, decode.d7.loss_mask: 0.9254, decode.d7.loss_dice: 1.4593, decode.d8.loss_cls: 1.6663, decode.d8.loss_mask: 0.9308, decode.d8.loss_dice: 1.4646, loss: 49.3402, grad_norm: 92.9510 2023-11-21 21:34:33,610 - mmseg - INFO - Saving checkpoint at 2000 iterations 2023-11-21 21:34:41,173 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-21 21:34:41,173 - mmseg - INFO - Iter [2000/160000] lr: 9.406e-06, eta: 1 day, 1:19:24, time: 0.717, data_time: 0.014, memory: 38143, decode.loss_cls: 1.6332, decode.loss_mask: 0.9451, decode.loss_dice: 1.4328, decode.d0.loss_cls: 9.0706, decode.d0.loss_mask: 0.9762, decode.d0.loss_dice: 1.8767, decode.d1.loss_cls: 2.0123, decode.d1.loss_mask: 0.9370, decode.d1.loss_dice: 1.4920, decode.d2.loss_cls: 1.8079, decode.d2.loss_mask: 0.9301, decode.d2.loss_dice: 1.4430, decode.d3.loss_cls: 1.7296, decode.d3.loss_mask: 0.9260, decode.d3.loss_dice: 1.4115, decode.d4.loss_cls: 1.7014, decode.d4.loss_mask: 0.9308, decode.d4.loss_dice: 1.4242, decode.d5.loss_cls: 1.6808, decode.d5.loss_mask: 0.9361, decode.d5.loss_dice: 1.4217, decode.d6.loss_cls: 1.6617, decode.d6.loss_mask: 0.9351, decode.d6.loss_dice: 1.4280, decode.d7.loss_cls: 1.6453, decode.d7.loss_mask: 0.9430, decode.d7.loss_dice: 1.4309, decode.d8.loss_cls: 1.6361, decode.d8.loss_mask: 0.9423, decode.d8.loss_dice: 1.4323, loss: 48.7734, grad_norm: 98.4026 2023-11-21 21:36:25,197 - mmseg - INFO - per class results: 2023-11-21 21:36:25,202 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 65.98 | 90.34 | | building | 74.49 | 95.3 | | sky | 93.66 | 96.58 | | floor | 79.84 | 88.18 | | tree | 73.69 | 85.54 | | ceiling | 82.19 | 91.8 | | road | 74.67 | 84.48 | | bed | 76.45 | 94.6 | | windowpane | 55.4 | 82.24 | | grass | 51.91 | 63.71 | | cabinet | 46.7 | 73.8 | | sidewalk | 56.7 | 86.4 | | person | 80.93 | 91.64 | | earth | 26.98 | 57.5 | | door | 28.67 | 38.74 | | table | 36.25 | 86.63 | | mountain | 52.48 | 66.0 | | plant | 50.67 | 65.84 | | curtain | 50.11 | 83.61 | | chair | 45.44 | 79.54 | | car | 79.01 | 90.88 | | water | 0.0 | 0.0 | | painting | 54.67 | 85.12 | | sofa | 34.82 | 43.82 | | shelf | 8.68 | 9.44 | | house | 0.0 | 0.0 | | sea | 26.84 | 93.48 | | mirror | 0.0 | 0.0 | | rug | 51.42 | 56.98 | | field | 0.0 | 0.0 | | armchair | 17.98 | 28.09 | | seat | 0.0 | 0.0 | | fence | 0.0 | 0.0 | | desk | 0.0 | 0.0 | | rock | 2.43 | 2.52 | | wardrobe | 0.0 | 0.0 | | lamp | 39.13 | 81.51 | | bathtub | 0.0 | 0.0 | | railing | 0.0 | 0.0 | | cushion | 31.69 | 63.84 | | base | 0.0 | 0.0 | | box | 0.14 | 0.15 | | column | 0.01 | 0.01 | | signboard | 31.08 | 49.29 | | chest of drawers | 0.0 | 0.0 | | counter | 0.0 | 0.0 | | sand | 0.0 | 0.0 | | sink | 36.15 | 46.14 | | skyscraper | 0.0 | 0.0 | | fireplace | 0.0 | 0.0 | | refrigerator | 0.0 | 0.0 | | grandstand | 0.0 | 0.0 | | path | 0.0 | 0.0 | | stairs | 0.0 | 0.0 | | runway | 0.0 | 0.0 | | case | 0.0 | 0.0 | | pool table | 0.0 | 0.0 | | pillow | 24.64 | 52.31 | | screen door | 0.0 | 0.0 | | stairway | 0.0 | 0.0 | | river | 0.0 | 0.0 | | bridge | 0.0 | 0.0 | | bookcase | 0.0 | 0.0 | | blind | 0.0 | 0.0 | | coffee table | 0.0 | 0.0 | | toilet | 0.0 | 0.0 | | flower | 24.89 | 34.5 | | book | 0.01 | 0.01 | | hill | 0.0 | 0.0 | | bench | 0.0 | 0.0 | | countertop | 0.0 | 0.0 | | stove | 2.4 | 2.67 | | palm | 0.02 | 0.02 | | kitchen island | 0.0 | 0.0 | | computer | 0.0 | 0.0 | | swivel chair | 0.0 | 0.0 | | boat | 0.0 | 0.0 | | bar | 0.0 | 0.0 | | arcade machine | 0.0 | 0.0 | | hovel | 0.0 | 0.0 | | bus | 0.0 | 0.0 | | towel | 0.0 | 0.0 | | light | 48.15 | 74.89 | | truck | 0.0 | 0.0 | | tower | 0.0 | 0.0 | | chandelier | 0.0 | 0.0 | | awning | 0.0 | 0.0 | | streetlight | 20.38 | 40.54 | | booth | 0.0 | 0.0 | | television receiver | 0.0 | 0.0 | | airplane | 0.0 | 0.0 | | dirt track | 0.0 | 0.0 | | apparel | 0.0 | 0.0 | | pole | 0.0 | 0.0 | | land | 0.0 | 0.0 | | bannister | 0.0 | 0.0 | | escalator | 0.0 | 0.0 | | ottoman | 0.0 | 0.0 | | bottle | 0.0 | 0.0 | | buffet | 0.0 | 0.0 | | poster | 0.0 | 0.0 | | stage | 0.0 | 0.0 | | van | 0.0 | 0.0 | | ship | 0.0 | 0.0 | | fountain | 0.0 | 0.0 | | conveyer belt | 0.0 | 0.0 | | canopy | 0.0 | 0.0 | | washer | 0.0 | 0.0 | | plaything | 0.0 | 0.0 | | swimming pool | 0.0 | 0.0 | | stool | 0.0 | 0.0 | | barrel | 0.0 | 0.0 | | basket | 0.0 | 0.0 | | waterfall | 0.0 | 0.0 | | tent | 0.0 | 0.0 | | bag | 0.0 | 0.0 | | minibike | 0.0 | 0.0 | | cradle | 0.0 | 0.0 | | oven | 0.0 | 0.0 | | ball | 0.0 | 0.0 | | food | 0.0 | 0.0 | | step | 0.0 | 0.0 | | tank | 0.0 | 0.0 | | trade name | 0.0 | 0.0 | | microwave | 0.0 | 0.0 | | pot | 0.09 | 0.09 | | animal | 0.0 | 0.0 | | bicycle | 0.0 | 0.0 | | lake | 0.0 | 0.0 | | dishwasher | 0.0 | 0.0 | | screen | 0.0 | 0.0 | | blanket | 0.0 | 0.0 | | sculpture | 0.0 | 0.0 | | hood | 0.0 | 0.0 | | sconce | 0.27 | 0.28 | | vase | 11.18 | 25.64 | | traffic light | 0.0 | 0.0 | | tray | 0.0 | 0.0 | | ashcan | 0.0 | 0.0 | | fan | 0.0 | 0.0 | | pier | 0.0 | 0.0 | | crt screen | 0.0 | 0.0 | | plate | 0.0 | 0.0 | | monitor | 0.0 | 0.0 | | bulletin board | 0.0 | 0.0 | | shower | 0.0 | 0.0 | | radiator | 0.0 | 0.0 | | glass | 0.0 | 0.0 | | clock | 0.0 | 0.0 | | flag | 0.0 | 0.0 | +---------------------+-------+-------+ 2023-11-21 21:36:25,202 - mmseg - INFO - Summary: 2023-11-21 21:36:25,202 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 73.37 | 11.66 | 16.56 | +-------+-------+-------+ 2023-11-21 21:36:32,846 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_2000.pth. 2023-11-21 21:36:32,847 - mmseg - INFO - Best mIoU is 0.1166 at 2000 iter. 2023-11-21 21:36:32,847 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-21 21:36:32,847 - mmseg - INFO - Iter(val) [250] aAcc: 0.7337, mIoU: 0.1166, mAcc: 0.1656, IoU.wall: 0.6598, IoU.building: 0.7449, IoU.sky: 0.9366, IoU.floor: 0.7984, IoU.tree: 0.7369, IoU.ceiling: 0.8219, IoU.road: 0.7467, IoU.bed : 0.7645, IoU.windowpane: 0.5540, IoU.grass: 0.5191, IoU.cabinet: 0.4670, IoU.sidewalk: 0.5670, IoU.person: 0.8093, IoU.earth: 0.2698, IoU.door: 0.2867, IoU.table: 0.3625, IoU.mountain: 0.5248, IoU.plant: 0.5067, IoU.curtain: 0.5011, IoU.chair: 0.4544, IoU.car: 0.7901, IoU.water: 0.0000, IoU.painting: 0.5467, IoU.sofa: 0.3482, IoU.shelf: 0.0868, IoU.house: 0.0000, IoU.sea: 0.2684, IoU.mirror: 0.0000, IoU.rug: 0.5142, IoU.field: 0.0000, IoU.armchair: 0.1798, IoU.seat: 0.0000, IoU.fence: 0.0000, IoU.desk: 0.0000, IoU.rock: 0.0243, IoU.wardrobe: 0.0000, IoU.lamp: 0.3913, IoU.bathtub: 0.0000, IoU.railing: 0.0000, IoU.cushion: 0.3169, IoU.base: 0.0000, IoU.box: 0.0014, IoU.column: 0.0001, IoU.signboard: 0.3108, IoU.chest of drawers: 0.0000, IoU.counter: 0.0000, IoU.sand: 0.0000, IoU.sink: 0.3615, IoU.skyscraper: 0.0000, IoU.fireplace: 0.0000, IoU.refrigerator: 0.0000, IoU.grandstand: 0.0000, IoU.path: 0.0000, IoU.stairs: 0.0000, IoU.runway: 0.0000, IoU.case: 0.0000, IoU.pool table: 0.0000, IoU.pillow: 0.2464, IoU.screen door: 0.0000, IoU.stairway: 0.0000, IoU.river: 0.0000, IoU.bridge: 0.0000, IoU.bookcase: 0.0000, IoU.blind: 0.0000, IoU.coffee table: 0.0000, IoU.toilet: 0.0000, IoU.flower: 0.2489, IoU.book: 0.0001, IoU.hill: 0.0000, IoU.bench: 0.0000, IoU.countertop: 0.0000, IoU.stove: 0.0240, IoU.palm: 0.0002, IoU.kitchen island: 0.0000, IoU.computer: 0.0000, IoU.swivel chair: 0.0000, IoU.boat: 0.0000, IoU.bar: 0.0000, IoU.arcade machine: 0.0000, IoU.hovel: 0.0000, IoU.bus: 0.0000, IoU.towel: 0.0000, IoU.light: 0.4815, IoU.truck: 0.0000, IoU.tower: 0.0000, IoU.chandelier: 0.0000, IoU.awning: 0.0000, IoU.streetlight: 0.2038, IoU.booth: 0.0000, IoU.television receiver: 0.0000, IoU.airplane: 0.0000, IoU.dirt track: 0.0000, IoU.apparel: 0.0000, IoU.pole: 0.0000, IoU.land: 0.0000, IoU.bannister: 0.0000, IoU.escalator: 0.0000, IoU.ottoman: 0.0000, IoU.bottle: 0.0000, IoU.buffet: 0.0000, IoU.poster: 0.0000, IoU.stage: 0.0000, IoU.van: 0.0000, IoU.ship: 0.0000, IoU.fountain: 0.0000, IoU.conveyer belt: 0.0000, IoU.canopy: 0.0000, IoU.washer: 0.0000, IoU.plaything: 0.0000, IoU.swimming pool: 0.0000, IoU.stool: 0.0000, IoU.barrel: 0.0000, IoU.basket: 0.0000, IoU.waterfall: 0.0000, IoU.tent: 0.0000, IoU.bag: 0.0000, IoU.minibike: 0.0000, IoU.cradle: 0.0000, IoU.oven: 0.0000, IoU.ball: 0.0000, IoU.food: 0.0000, IoU.step: 0.0000, IoU.tank: 0.0000, IoU.trade name: 0.0000, IoU.microwave: 0.0000, IoU.pot: 0.0009, IoU.animal: 0.0000, IoU.bicycle: 0.0000, IoU.lake: 0.0000, IoU.dishwasher: 0.0000, IoU.screen: 0.0000, IoU.blanket: 0.0000, IoU.sculpture: 0.0000, IoU.hood: 0.0000, IoU.sconce: 0.0027, IoU.vase: 0.1118, IoU.traffic light: 0.0000, IoU.tray: 0.0000, IoU.ashcan: 0.0000, IoU.fan: 0.0000, IoU.pier: 0.0000, IoU.crt screen: 0.0000, IoU.plate: 0.0000, IoU.monitor: 0.0000, IoU.bulletin board: 0.0000, IoU.shower: 0.0000, IoU.radiator: 0.0000, IoU.glass: 0.0000, IoU.clock: 0.0000, IoU.flag: 0.0000, Acc.wall: 0.9034, Acc.building: 0.9530, Acc.sky: 0.9658, Acc.floor: 0.8818, Acc.tree: 0.8554, Acc.ceiling: 0.9180, Acc.road: 0.8448, Acc.bed : 0.9460, Acc.windowpane: 0.8224, Acc.grass: 0.6371, Acc.cabinet: 0.7380, Acc.sidewalk: 0.8640, Acc.person: 0.9164, Acc.earth: 0.5750, Acc.door: 0.3874, Acc.table: 0.8663, Acc.mountain: 0.6600, Acc.plant: 0.6584, Acc.curtain: 0.8361, Acc.chair: 0.7954, Acc.car: 0.9088, Acc.water: 0.0000, Acc.painting: 0.8512, Acc.sofa: 0.4382, Acc.shelf: 0.0944, Acc.house: 0.0000, Acc.sea: 0.9348, Acc.mirror: 0.0000, Acc.rug: 0.5698, Acc.field: 0.0000, Acc.armchair: 0.2809, Acc.seat: 0.0000, Acc.fence: 0.0000, Acc.desk: 0.0000, Acc.rock: 0.0252, Acc.wardrobe: 0.0000, Acc.lamp: 0.8151, Acc.bathtub: 0.0000, Acc.railing: 0.0000, Acc.cushion: 0.6384, Acc.base: 0.0000, Acc.box: 0.0015, Acc.column: 0.0001, Acc.signboard: 0.4929, Acc.chest of drawers: 0.0000, Acc.counter: 0.0000, Acc.sand: 0.0000, Acc.sink: 0.4614, Acc.skyscraper: 0.0000, Acc.fireplace: 0.0000, Acc.refrigerator: 0.0000, Acc.grandstand: 0.0000, Acc.path: 0.0000, Acc.stairs: 0.0000, Acc.runway: 0.0000, Acc.case: 0.0000, Acc.pool table: 0.0000, Acc.pillow: 0.5231, Acc.screen door: 0.0000, Acc.stairway: 0.0000, Acc.river: 0.0000, Acc.bridge: 0.0000, Acc.bookcase: 0.0000, Acc.blind: 0.0000, Acc.coffee table: 0.0000, Acc.toilet: 0.0000, Acc.flower: 0.3450, Acc.book: 0.0001, Acc.hill: 0.0000, Acc.bench: 0.0000, Acc.countertop: 0.0000, Acc.stove: 0.0267, Acc.palm: 0.0002, Acc.kitchen island: 0.0000, Acc.computer: 0.0000, Acc.swivel chair: 0.0000, Acc.boat: 0.0000, Acc.bar: 0.0000, Acc.arcade machine: 0.0000, Acc.hovel: 0.0000, Acc.bus: 0.0000, Acc.towel: 0.0000, Acc.light: 0.7489, Acc.truck: 0.0000, Acc.tower: 0.0000, Acc.chandelier: 0.0000, Acc.awning: 0.0000, Acc.streetlight: 0.4054, Acc.booth: 0.0000, Acc.television receiver: 0.0000, Acc.airplane: 0.0000, Acc.dirt track: 0.0000, Acc.apparel: 0.0000, Acc.pole: 0.0000, Acc.land: 0.0000, Acc.bannister: 0.0000, Acc.escalator: 0.0000, Acc.ottoman: 0.0000, Acc.bottle: 0.0000, Acc.buffet: 0.0000, Acc.poster: 0.0000, Acc.stage: 0.0000, Acc.van: 0.0000, Acc.ship: 0.0000, Acc.fountain: 0.0000, Acc.conveyer belt: 0.0000, Acc.canopy: 0.0000, Acc.washer: 0.0000, Acc.plaything: 0.0000, Acc.swimming pool: 0.0000, Acc.stool: 0.0000, Acc.barrel: 0.0000, Acc.basket: 0.0000, Acc.waterfall: 0.0000, Acc.tent: 0.0000, Acc.bag: 0.0000, Acc.minibike: 0.0000, Acc.cradle: 0.0000, Acc.oven: 0.0000, Acc.ball: 0.0000, Acc.food: 0.0000, Acc.step: 0.0000, Acc.tank: 0.0000, Acc.trade name: 0.0000, Acc.microwave: 0.0000, Acc.pot: 0.0009, Acc.animal: 0.0000, Acc.bicycle: 0.0000, Acc.lake: 0.0000, Acc.dishwasher: 0.0000, Acc.screen: 0.0000, Acc.blanket: 0.0000, Acc.sculpture: 0.0000, Acc.hood: 0.0000, Acc.sconce: 0.0028, Acc.vase: 0.2564, Acc.traffic light: 0.0000, Acc.tray: 0.0000, Acc.ashcan: 0.0000, Acc.fan: 0.0000, Acc.pier: 0.0000, Acc.crt screen: 0.0000, Acc.plate: 0.0000, Acc.monitor: 0.0000, Acc.bulletin board: 0.0000, Acc.shower: 0.0000, Acc.radiator: 0.0000, Acc.glass: 0.0000, Acc.clock: 0.0000, Acc.flag: 0.0000 2023-11-21 21:37:01,300 - mmseg - INFO - Iter [2050/160000] lr: 9.403e-06, eta: 1 day, 3:41:49, time: 2.803, data_time: 2.248, memory: 38143, decode.loss_cls: 1.6592, decode.loss_mask: 0.9292, decode.loss_dice: 1.4425, decode.d0.loss_cls: 8.9897, decode.d0.loss_mask: 0.9657, decode.d0.loss_dice: 1.8978, decode.d1.loss_cls: 2.0177, decode.d1.loss_mask: 0.9358, decode.d1.loss_dice: 1.5178, decode.d2.loss_cls: 1.7933, decode.d2.loss_mask: 0.9255, decode.d2.loss_dice: 1.4621, decode.d3.loss_cls: 1.7289, decode.d3.loss_mask: 0.9168, decode.d3.loss_dice: 1.4361, decode.d4.loss_cls: 1.7082, decode.d4.loss_mask: 0.9277, decode.d4.loss_dice: 1.4498, decode.d5.loss_cls: 1.6885, decode.d5.loss_mask: 0.9247, decode.d5.loss_dice: 1.4380, decode.d6.loss_cls: 1.6667, decode.d6.loss_mask: 0.9311, decode.d6.loss_dice: 1.4345, decode.d7.loss_cls: 1.6548, decode.d7.loss_mask: 0.9330, decode.d7.loss_dice: 1.4419, decode.d8.loss_cls: 1.6554, decode.d8.loss_mask: 0.9309, decode.d8.loss_dice: 1.4401, loss: 48.8433, grad_norm: 91.8275 2023-11-21 21:37:29,744 - mmseg - INFO - Iter [2100/160000] lr: 9.400e-06, eta: 1 day, 3:37:23, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 1.5703, decode.loss_mask: 0.9503, decode.loss_dice: 1.4205, decode.d0.loss_cls: 8.9079, decode.d0.loss_mask: 0.9845, decode.d0.loss_dice: 1.8451, decode.d1.loss_cls: 1.9162, decode.d1.loss_mask: 0.9490, decode.d1.loss_dice: 1.4815, decode.d2.loss_cls: 1.7205, decode.d2.loss_mask: 0.9391, decode.d2.loss_dice: 1.4335, decode.d3.loss_cls: 1.6456, decode.d3.loss_mask: 0.9463, decode.d3.loss_dice: 1.4046, decode.d4.loss_cls: 1.6319, decode.d4.loss_mask: 0.9386, decode.d4.loss_dice: 1.4158, decode.d5.loss_cls: 1.6092, decode.d5.loss_mask: 0.9431, decode.d5.loss_dice: 1.4071, decode.d6.loss_cls: 1.5993, decode.d6.loss_mask: 0.9427, decode.d6.loss_dice: 1.3990, decode.d7.loss_cls: 1.5864, decode.d7.loss_mask: 0.9484, decode.d7.loss_dice: 1.4174, decode.d8.loss_cls: 1.5801, decode.d8.loss_mask: 0.9432, decode.d8.loss_dice: 1.4290, loss: 47.9062, grad_norm: 103.4645 2023-11-21 21:37:58,405 - mmseg - INFO - Iter [2150/160000] lr: 9.397e-06, eta: 1 day, 3:33:24, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 1.5665, decode.loss_mask: 0.9449, decode.loss_dice: 1.4661, decode.d0.loss_cls: 8.8326, decode.d0.loss_mask: 0.9785, decode.d0.loss_dice: 1.8879, decode.d1.loss_cls: 1.9059, decode.d1.loss_mask: 0.9543, decode.d1.loss_dice: 1.5391, decode.d2.loss_cls: 1.7105, decode.d2.loss_mask: 0.9311, decode.d2.loss_dice: 1.4746, decode.d3.loss_cls: 1.6380, decode.d3.loss_mask: 0.9284, decode.d3.loss_dice: 1.4539, decode.d4.loss_cls: 1.6219, decode.d4.loss_mask: 0.9303, decode.d4.loss_dice: 1.4587, decode.d5.loss_cls: 1.6085, decode.d5.loss_mask: 0.9344, decode.d5.loss_dice: 1.4540, decode.d6.loss_cls: 1.5874, decode.d6.loss_mask: 0.9336, decode.d6.loss_dice: 1.4450, decode.d7.loss_cls: 1.5740, decode.d7.loss_mask: 0.9323, decode.d7.loss_dice: 1.4500, decode.d8.loss_cls: 1.5721, decode.d8.loss_mask: 0.9308, decode.d8.loss_dice: 1.4502, loss: 48.0955, grad_norm: 96.9766 2023-11-21 21:38:26,891 - mmseg - INFO - Iter [2200/160000] lr: 9.394e-06, eta: 1 day, 3:29:22, time: 0.570, data_time: 0.015, memory: 38143, decode.loss_cls: 1.5612, decode.loss_mask: 0.9391, decode.loss_dice: 1.4394, decode.d0.loss_cls: 8.7607, decode.d0.loss_mask: 0.9659, decode.d0.loss_dice: 1.8572, decode.d1.loss_cls: 1.9094, decode.d1.loss_mask: 0.9393, decode.d1.loss_dice: 1.5007, decode.d2.loss_cls: 1.7059, decode.d2.loss_mask: 0.9276, decode.d2.loss_dice: 1.4368, decode.d3.loss_cls: 1.6407, decode.d3.loss_mask: 0.9295, decode.d3.loss_dice: 1.4200, decode.d4.loss_cls: 1.6083, decode.d4.loss_mask: 0.9381, decode.d4.loss_dice: 1.4287, decode.d5.loss_cls: 1.5931, decode.d5.loss_mask: 0.9325, decode.d5.loss_dice: 1.4251, decode.d6.loss_cls: 1.5727, decode.d6.loss_mask: 0.9353, decode.d6.loss_dice: 1.4215, decode.d7.loss_cls: 1.5702, decode.d7.loss_mask: 0.9367, decode.d7.loss_dice: 1.4348, decode.d8.loss_cls: 1.5698, decode.d8.loss_mask: 0.9411, decode.d8.loss_dice: 1.4333, loss: 47.6743, grad_norm: 92.3618 2023-11-21 21:38:55,251 - mmseg - INFO - Iter [2250/160000] lr: 9.391e-06, eta: 1 day, 3:25:20, time: 0.567, data_time: 0.016, memory: 38143, decode.loss_cls: 1.6042, decode.loss_mask: 0.9442, decode.loss_dice: 1.4696, decode.d0.loss_cls: 8.6850, decode.d0.loss_mask: 0.9720, decode.d0.loss_dice: 1.8959, decode.d1.loss_cls: 1.9266, decode.d1.loss_mask: 0.9535, decode.d1.loss_dice: 1.5457, decode.d2.loss_cls: 1.7363, decode.d2.loss_mask: 0.9264, decode.d2.loss_dice: 1.4865, decode.d3.loss_cls: 1.6719, decode.d3.loss_mask: 0.9293, decode.d3.loss_dice: 1.4644, decode.d4.loss_cls: 1.6556, decode.d4.loss_mask: 0.9308, decode.d4.loss_dice: 1.4642, decode.d5.loss_cls: 1.6422, decode.d5.loss_mask: 0.9300, decode.d5.loss_dice: 1.4630, decode.d6.loss_cls: 1.6360, decode.d6.loss_mask: 0.9291, decode.d6.loss_dice: 1.4611, decode.d7.loss_cls: 1.6250, decode.d7.loss_mask: 0.9408, decode.d7.loss_dice: 1.4633, decode.d8.loss_cls: 1.6179, decode.d8.loss_mask: 0.9373, decode.d8.loss_dice: 1.4623, loss: 48.3702, grad_norm: 95.5775 2023-11-21 21:39:23,746 - mmseg - INFO - Iter [2300/160000] lr: 9.388e-06, eta: 1 day, 3:21:37, time: 0.570, data_time: 0.015, memory: 38143, decode.loss_cls: 1.5080, decode.loss_mask: 0.9406, decode.loss_dice: 1.4028, decode.d0.loss_cls: 8.5918, decode.d0.loss_mask: 0.9730, decode.d0.loss_dice: 1.8078, decode.d1.loss_cls: 1.8627, decode.d1.loss_mask: 0.9418, decode.d1.loss_dice: 1.4739, decode.d2.loss_cls: 1.6474, decode.d2.loss_mask: 0.9207, decode.d2.loss_dice: 1.4047, decode.d3.loss_cls: 1.5774, decode.d3.loss_mask: 0.9249, decode.d3.loss_dice: 1.3888, decode.d4.loss_cls: 1.5552, decode.d4.loss_mask: 0.9326, decode.d4.loss_dice: 1.4033, decode.d5.loss_cls: 1.5415, decode.d5.loss_mask: 0.9349, decode.d5.loss_dice: 1.3916, decode.d6.loss_cls: 1.5224, decode.d6.loss_mask: 0.9326, decode.d6.loss_dice: 1.3792, decode.d7.loss_cls: 1.5191, decode.d7.loss_mask: 0.9423, decode.d7.loss_dice: 1.4006, decode.d8.loss_cls: 1.5145, decode.d8.loss_mask: 0.9314, decode.d8.loss_dice: 1.3902, loss: 46.6573, grad_norm: 97.9848 2023-11-21 21:39:52,113 - mmseg - INFO - Iter [2350/160000] lr: 9.385e-06, eta: 1 day, 3:17:54, time: 0.567, data_time: 0.015, memory: 38143, decode.loss_cls: 1.4900, decode.loss_mask: 0.8924, decode.loss_dice: 1.3657, decode.d0.loss_cls: 8.5107, decode.d0.loss_mask: 0.9331, decode.d0.loss_dice: 1.7868, decode.d1.loss_cls: 1.8289, decode.d1.loss_mask: 0.9092, decode.d1.loss_dice: 1.4672, decode.d2.loss_cls: 1.6184, decode.d2.loss_mask: 0.8912, decode.d2.loss_dice: 1.3846, decode.d3.loss_cls: 1.5492, decode.d3.loss_mask: 0.8885, decode.d3.loss_dice: 1.3630, decode.d4.loss_cls: 1.5415, decode.d4.loss_mask: 0.8893, decode.d4.loss_dice: 1.3722, decode.d5.loss_cls: 1.5216, decode.d5.loss_mask: 0.8998, decode.d5.loss_dice: 1.3701, decode.d6.loss_cls: 1.5084, decode.d6.loss_mask: 0.8962, decode.d6.loss_dice: 1.3598, decode.d7.loss_cls: 1.4924, decode.d7.loss_mask: 0.8994, decode.d7.loss_dice: 1.3660, decode.d8.loss_cls: 1.4900, decode.d8.loss_mask: 0.8969, decode.d8.loss_dice: 1.3652, loss: 45.7477, grad_norm: 89.5216 2023-11-21 21:40:20,870 - mmseg - INFO - Iter [2400/160000] lr: 9.382e-06, eta: 1 day, 3:14:44, time: 0.575, data_time: 0.015, memory: 38143, decode.loss_cls: 1.5093, decode.loss_mask: 0.8942, decode.loss_dice: 1.3747, decode.d0.loss_cls: 8.4410, decode.d0.loss_mask: 0.9220, decode.d0.loss_dice: 1.7703, decode.d1.loss_cls: 1.8548, decode.d1.loss_mask: 0.9075, decode.d1.loss_dice: 1.4368, decode.d2.loss_cls: 1.6603, decode.d2.loss_mask: 0.8801, decode.d2.loss_dice: 1.3798, decode.d3.loss_cls: 1.5833, decode.d3.loss_mask: 0.8819, decode.d3.loss_dice: 1.3595, decode.d4.loss_cls: 1.5632, decode.d4.loss_mask: 0.8868, decode.d4.loss_dice: 1.3629, decode.d5.loss_cls: 1.5461, decode.d5.loss_mask: 0.8881, decode.d5.loss_dice: 1.3592, decode.d6.loss_cls: 1.5292, decode.d6.loss_mask: 0.8920, decode.d6.loss_dice: 1.3583, decode.d7.loss_cls: 1.5198, decode.d7.loss_mask: 0.8905, decode.d7.loss_dice: 1.3665, decode.d8.loss_cls: 1.5081, decode.d8.loss_mask: 0.8977, decode.d8.loss_dice: 1.3717, loss: 45.7956, grad_norm: 93.9816 2023-11-21 21:40:49,538 - mmseg - INFO - Iter [2450/160000] lr: 9.379e-06, eta: 1 day, 3:11:36, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 1.5337, decode.loss_mask: 0.9255, decode.loss_dice: 1.4042, decode.d0.loss_cls: 8.3535, decode.d0.loss_mask: 0.9672, decode.d0.loss_dice: 1.8054, decode.d1.loss_cls: 1.8647, decode.d1.loss_mask: 0.9301, decode.d1.loss_dice: 1.4593, decode.d2.loss_cls: 1.6716, decode.d2.loss_mask: 0.9158, decode.d2.loss_dice: 1.4053, decode.d3.loss_cls: 1.6098, decode.d3.loss_mask: 0.9076, decode.d3.loss_dice: 1.3933, decode.d4.loss_cls: 1.5891, decode.d4.loss_mask: 0.9229, decode.d4.loss_dice: 1.4026, decode.d5.loss_cls: 1.5835, decode.d5.loss_mask: 0.9112, decode.d5.loss_dice: 1.3949, decode.d6.loss_cls: 1.5522, decode.d6.loss_mask: 0.9214, decode.d6.loss_dice: 1.3938, decode.d7.loss_cls: 1.5420, decode.d7.loss_mask: 0.9205, decode.d7.loss_dice: 1.4076, decode.d8.loss_cls: 1.5241, decode.d8.loss_mask: 0.9353, decode.d8.loss_dice: 1.4062, loss: 46.5542, grad_norm: 91.7285 2023-11-21 21:41:17,940 - mmseg - INFO - Iter [2500/160000] lr: 9.376e-06, eta: 1 day, 3:08:17, time: 0.568, data_time: 0.015, memory: 38143, decode.loss_cls: 1.5128, decode.loss_mask: 0.9289, decode.loss_dice: 1.4176, decode.d0.loss_cls: 8.2704, decode.d0.loss_mask: 0.9600, decode.d0.loss_dice: 1.8242, decode.d1.loss_cls: 1.8323, decode.d1.loss_mask: 0.9474, decode.d1.loss_dice: 1.4836, decode.d2.loss_cls: 1.6353, decode.d2.loss_mask: 0.9237, decode.d2.loss_dice: 1.4286, decode.d3.loss_cls: 1.5803, decode.d3.loss_mask: 0.9103, decode.d3.loss_dice: 1.4074, decode.d4.loss_cls: 1.5645, decode.d4.loss_mask: 0.9269, decode.d4.loss_dice: 1.4090, decode.d5.loss_cls: 1.5532, decode.d5.loss_mask: 0.9235, decode.d5.loss_dice: 1.4036, decode.d6.loss_cls: 1.5297, decode.d6.loss_mask: 0.9255, decode.d6.loss_dice: 1.4062, decode.d7.loss_cls: 1.5198, decode.d7.loss_mask: 0.9274, decode.d7.loss_dice: 1.4117, decode.d8.loss_cls: 1.5067, decode.d8.loss_mask: 0.9336, decode.d8.loss_dice: 1.4169, loss: 46.4209, grad_norm: 98.1728 2023-11-21 21:41:48,719 - mmseg - INFO - Iter [2550/160000] lr: 9.373e-06, eta: 1 day, 3:07:31, time: 0.616, data_time: 0.061, memory: 38143, decode.loss_cls: 1.4511, decode.loss_mask: 0.9070, decode.loss_dice: 1.3880, decode.d0.loss_cls: 8.1790, decode.d0.loss_mask: 0.9347, decode.d0.loss_dice: 1.7989, decode.d1.loss_cls: 1.7771, decode.d1.loss_mask: 0.9251, decode.d1.loss_dice: 1.4712, decode.d2.loss_cls: 1.5896, decode.d2.loss_mask: 0.9042, decode.d2.loss_dice: 1.4058, decode.d3.loss_cls: 1.5266, decode.d3.loss_mask: 0.9012, decode.d3.loss_dice: 1.3775, decode.d4.loss_cls: 1.4984, decode.d4.loss_mask: 0.9070, decode.d4.loss_dice: 1.3916, decode.d5.loss_cls: 1.4860, decode.d5.loss_mask: 0.9005, decode.d5.loss_dice: 1.3953, decode.d6.loss_cls: 1.4597, decode.d6.loss_mask: 0.9080, decode.d6.loss_dice: 1.3869, decode.d7.loss_cls: 1.4497, decode.d7.loss_mask: 0.9085, decode.d7.loss_dice: 1.3947, decode.d8.loss_cls: 1.4426, decode.d8.loss_mask: 0.9091, decode.d8.loss_dice: 1.3858, loss: 45.3608, grad_norm: 88.7363 2023-11-21 21:42:16,984 - mmseg - INFO - Iter [2600/160000] lr: 9.370e-06, eta: 1 day, 3:04:14, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 1.4563, decode.loss_mask: 0.9334, decode.loss_dice: 1.3422, decode.d0.loss_cls: 8.0954, decode.d0.loss_mask: 0.9616, decode.d0.loss_dice: 1.7371, decode.d1.loss_cls: 1.7891, decode.d1.loss_mask: 0.9381, decode.d1.loss_dice: 1.4134, decode.d2.loss_cls: 1.5890, decode.d2.loss_mask: 0.9202, decode.d2.loss_dice: 1.3495, decode.d3.loss_cls: 1.5343, decode.d3.loss_mask: 0.9120, decode.d3.loss_dice: 1.3253, decode.d4.loss_cls: 1.5092, decode.d4.loss_mask: 0.9278, decode.d4.loss_dice: 1.3376, decode.d5.loss_cls: 1.4843, decode.d5.loss_mask: 0.9253, decode.d5.loss_dice: 1.3408, decode.d6.loss_cls: 1.4747, decode.d6.loss_mask: 0.9227, decode.d6.loss_dice: 1.3313, decode.d7.loss_cls: 1.4684, decode.d7.loss_mask: 0.9274, decode.d7.loss_dice: 1.3370, decode.d8.loss_cls: 1.4530, decode.d8.loss_mask: 0.9320, decode.d8.loss_dice: 1.3384, loss: 45.0070, grad_norm: 94.6627 2023-11-21 21:42:45,308 - mmseg - INFO - Iter [2650/160000] lr: 9.367e-06, eta: 1 day, 3:01:06, time: 0.566, data_time: 0.015, memory: 38143, decode.loss_cls: 1.4438, decode.loss_mask: 0.9297, decode.loss_dice: 1.3500, decode.d0.loss_cls: 8.0173, decode.d0.loss_mask: 0.9657, decode.d0.loss_dice: 1.7493, decode.d1.loss_cls: 1.7788, decode.d1.loss_mask: 0.9417, decode.d1.loss_dice: 1.4263, decode.d2.loss_cls: 1.5829, decode.d2.loss_mask: 0.9252, decode.d2.loss_dice: 1.3532, decode.d3.loss_cls: 1.5103, decode.d3.loss_mask: 0.9222, decode.d3.loss_dice: 1.3263, decode.d4.loss_cls: 1.4849, decode.d4.loss_mask: 0.9360, decode.d4.loss_dice: 1.3377, decode.d5.loss_cls: 1.4684, decode.d5.loss_mask: 0.9306, decode.d5.loss_dice: 1.3374, decode.d6.loss_cls: 1.4594, decode.d6.loss_mask: 0.9271, decode.d6.loss_dice: 1.3326, decode.d7.loss_cls: 1.4537, decode.d7.loss_mask: 0.9295, decode.d7.loss_dice: 1.3401, decode.d8.loss_cls: 1.4433, decode.d8.loss_mask: 0.9329, decode.d8.loss_dice: 1.3391, loss: 44.8753, grad_norm: 93.1434 2023-11-21 21:43:13,905 - mmseg - INFO - Iter [2700/160000] lr: 9.364e-06, eta: 1 day, 2:58:21, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 1.4587, decode.loss_mask: 0.8857, decode.loss_dice: 1.3783, decode.d0.loss_cls: 7.9177, decode.d0.loss_mask: 0.9097, decode.d0.loss_dice: 1.7499, decode.d1.loss_cls: 1.7658, decode.d1.loss_mask: 0.9065, decode.d1.loss_dice: 1.4488, decode.d2.loss_cls: 1.5956, decode.d2.loss_mask: 0.8730, decode.d2.loss_dice: 1.3818, decode.d3.loss_cls: 1.5338, decode.d3.loss_mask: 0.8732, decode.d3.loss_dice: 1.3689, decode.d4.loss_cls: 1.5079, decode.d4.loss_mask: 0.8831, decode.d4.loss_dice: 1.3769, decode.d5.loss_cls: 1.5011, decode.d5.loss_mask: 0.8922, decode.d5.loss_dice: 1.3712, decode.d6.loss_cls: 1.4844, decode.d6.loss_mask: 0.8850, decode.d6.loss_dice: 1.3707, decode.d7.loss_cls: 1.4679, decode.d7.loss_mask: 0.8943, decode.d7.loss_dice: 1.3812, decode.d8.loss_cls: 1.4658, decode.d8.loss_mask: 0.8917, decode.d8.loss_dice: 1.3811, loss: 44.8019, grad_norm: 88.2773 2023-11-21 21:43:42,567 - mmseg - INFO - Iter [2750/160000] lr: 9.361e-06, eta: 1 day, 2:55:44, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 1.4656, decode.loss_mask: 0.8789, decode.loss_dice: 1.3636, decode.d0.loss_cls: 7.8334, decode.d0.loss_mask: 0.8940, decode.d0.loss_dice: 1.7329, decode.d1.loss_cls: 1.8020, decode.d1.loss_mask: 0.8773, decode.d1.loss_dice: 1.4301, decode.d2.loss_cls: 1.6002, decode.d2.loss_mask: 0.8627, decode.d2.loss_dice: 1.3641, decode.d3.loss_cls: 1.5346, decode.d3.loss_mask: 0.8590, decode.d3.loss_dice: 1.3548, decode.d4.loss_cls: 1.5170, decode.d4.loss_mask: 0.8742, decode.d4.loss_dice: 1.3630, decode.d5.loss_cls: 1.4981, decode.d5.loss_mask: 0.8690, decode.d5.loss_dice: 1.3525, decode.d6.loss_cls: 1.4943, decode.d6.loss_mask: 0.8655, decode.d6.loss_dice: 1.3457, decode.d7.loss_cls: 1.4705, decode.d7.loss_mask: 0.8784, decode.d7.loss_dice: 1.3564, decode.d8.loss_cls: 1.4592, decode.d8.loss_mask: 0.8808, decode.d8.loss_dice: 1.3634, loss: 44.4409, grad_norm: 91.7994 2023-11-21 21:44:10,928 - mmseg - INFO - Iter [2800/160000] lr: 9.358e-06, eta: 1 day, 2:52:55, time: 0.567, data_time: 0.015, memory: 38143, decode.loss_cls: 1.3910, decode.loss_mask: 0.9230, decode.loss_dice: 1.3535, decode.d0.loss_cls: 7.7470, decode.d0.loss_mask: 0.9481, decode.d0.loss_dice: 1.7394, decode.d1.loss_cls: 1.7202, decode.d1.loss_mask: 0.9397, decode.d1.loss_dice: 1.4413, decode.d2.loss_cls: 1.5343, decode.d2.loss_mask: 0.9162, decode.d2.loss_dice: 1.3731, decode.d3.loss_cls: 1.4779, decode.d3.loss_mask: 0.9151, decode.d3.loss_dice: 1.3493, decode.d4.loss_cls: 1.4434, decode.d4.loss_mask: 0.9286, decode.d4.loss_dice: 1.3582, decode.d5.loss_cls: 1.4297, decode.d5.loss_mask: 0.9218, decode.d5.loss_dice: 1.3578, decode.d6.loss_cls: 1.4031, decode.d6.loss_mask: 0.9269, decode.d6.loss_dice: 1.3579, decode.d7.loss_cls: 1.3978, decode.d7.loss_mask: 0.9270, decode.d7.loss_dice: 1.3617, decode.d8.loss_cls: 1.3901, decode.d8.loss_mask: 0.9284, decode.d8.loss_dice: 1.3557, loss: 44.2573, grad_norm: 88.8692 2023-11-21 21:44:39,313 - mmseg - INFO - Iter [2850/160000] lr: 9.355e-06, eta: 1 day, 2:50:12, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 1.3581, decode.loss_mask: 0.9070, decode.loss_dice: 1.3205, decode.d0.loss_cls: 7.6420, decode.d0.loss_mask: 0.9217, decode.d0.loss_dice: 1.6763, decode.d1.loss_cls: 1.6724, decode.d1.loss_mask: 0.9185, decode.d1.loss_dice: 1.3981, decode.d2.loss_cls: 1.4946, decode.d2.loss_mask: 0.8898, decode.d2.loss_dice: 1.3322, decode.d3.loss_cls: 1.4325, decode.d3.loss_mask: 0.8927, decode.d3.loss_dice: 1.3121, decode.d4.loss_cls: 1.4082, decode.d4.loss_mask: 0.9090, decode.d4.loss_dice: 1.3222, decode.d5.loss_cls: 1.3923, decode.d5.loss_mask: 0.9027, decode.d5.loss_dice: 1.3200, decode.d6.loss_cls: 1.3801, decode.d6.loss_mask: 0.8947, decode.d6.loss_dice: 1.3157, decode.d7.loss_cls: 1.3757, decode.d7.loss_mask: 0.8970, decode.d7.loss_dice: 1.3307, decode.d8.loss_cls: 1.3650, decode.d8.loss_mask: 0.8981, decode.d8.loss_dice: 1.3243, loss: 43.2044, grad_norm: 89.2243 2023-11-21 21:45:07,677 - mmseg - INFO - Iter [2900/160000] lr: 9.352e-06, eta: 1 day, 2:47:32, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 1.3725, decode.loss_mask: 0.8988, decode.loss_dice: 1.3594, decode.d0.loss_cls: 7.5524, decode.d0.loss_mask: 0.9272, decode.d0.loss_dice: 1.7320, decode.d1.loss_cls: 1.6919, decode.d1.loss_mask: 0.9065, decode.d1.loss_dice: 1.4299, decode.d2.loss_cls: 1.5051, decode.d2.loss_mask: 0.8893, decode.d2.loss_dice: 1.3747, decode.d3.loss_cls: 1.4476, decode.d3.loss_mask: 0.8888, decode.d3.loss_dice: 1.3446, decode.d4.loss_cls: 1.4236, decode.d4.loss_mask: 0.8948, decode.d4.loss_dice: 1.3633, decode.d5.loss_cls: 1.3968, decode.d5.loss_mask: 0.8985, decode.d5.loss_dice: 1.3654, decode.d6.loss_cls: 1.3812, decode.d6.loss_mask: 0.8976, decode.d6.loss_dice: 1.3390, decode.d7.loss_cls: 1.3773, decode.d7.loss_mask: 0.8972, decode.d7.loss_dice: 1.3561, decode.d8.loss_cls: 1.3721, decode.d8.loss_mask: 0.8983, decode.d8.loss_dice: 1.3593, loss: 43.5410, grad_norm: 90.9901 2023-11-21 21:45:36,359 - mmseg - INFO - Iter [2950/160000] lr: 9.349e-06, eta: 1 day, 2:45:14, time: 0.574, data_time: 0.015, memory: 38143, decode.loss_cls: 1.3763, decode.loss_mask: 0.8925, decode.loss_dice: 1.3348, decode.d0.loss_cls: 7.4694, decode.d0.loss_mask: 0.8950, decode.d0.loss_dice: 1.6909, decode.d1.loss_cls: 1.6980, decode.d1.loss_mask: 0.9049, decode.d1.loss_dice: 1.4076, decode.d2.loss_cls: 1.5161, decode.d2.loss_mask: 0.8718, decode.d2.loss_dice: 1.3334, decode.d3.loss_cls: 1.4514, decode.d3.loss_mask: 0.8731, decode.d3.loss_dice: 1.3082, decode.d4.loss_cls: 1.4207, decode.d4.loss_mask: 0.8808, decode.d4.loss_dice: 1.3252, decode.d5.loss_cls: 1.4082, decode.d5.loss_mask: 0.8782, decode.d5.loss_dice: 1.3324, decode.d6.loss_cls: 1.3888, decode.d6.loss_mask: 0.8812, decode.d6.loss_dice: 1.3190, decode.d7.loss_cls: 1.3868, decode.d7.loss_mask: 0.8859, decode.d7.loss_dice: 1.3257, decode.d8.loss_cls: 1.3717, decode.d8.loss_mask: 0.8878, decode.d8.loss_dice: 1.3265, loss: 43.0422, grad_norm: 90.0048 2023-11-21 21:46:05,333 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-21 21:46:05,333 - mmseg - INFO - Iter [3000/160000] lr: 9.346e-06, eta: 1 day, 2:43:15, time: 0.579, data_time: 0.014, memory: 38143, decode.loss_cls: 1.3362, decode.loss_mask: 0.8783, decode.loss_dice: 1.3011, decode.d0.loss_cls: 7.3727, decode.d0.loss_mask: 0.8966, decode.d0.loss_dice: 1.6612, decode.d1.loss_cls: 1.6559, decode.d1.loss_mask: 0.8855, decode.d1.loss_dice: 1.3744, decode.d2.loss_cls: 1.4717, decode.d2.loss_mask: 0.8675, decode.d2.loss_dice: 1.3095, decode.d3.loss_cls: 1.4113, decode.d3.loss_mask: 0.8599, decode.d3.loss_dice: 1.2894, decode.d4.loss_cls: 1.3835, decode.d4.loss_mask: 0.8666, decode.d4.loss_dice: 1.2978, decode.d5.loss_cls: 1.3683, decode.d5.loss_mask: 0.8694, decode.d5.loss_dice: 1.3003, decode.d6.loss_cls: 1.3464, decode.d6.loss_mask: 0.8760, decode.d6.loss_dice: 1.2949, decode.d7.loss_cls: 1.3481, decode.d7.loss_mask: 0.8727, decode.d7.loss_dice: 1.3035, decode.d8.loss_cls: 1.3302, decode.d8.loss_mask: 0.8763, decode.d8.loss_dice: 1.3065, loss: 42.2121, grad_norm: 92.4902 2023-11-21 21:46:33,974 - mmseg - INFO - Iter [3050/160000] lr: 9.343e-06, eta: 1 day, 2:41:02, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 1.3508, decode.loss_mask: 0.8867, decode.loss_dice: 1.3202, decode.d0.loss_cls: 7.2766, decode.d0.loss_mask: 0.9215, decode.d0.loss_dice: 1.6522, decode.d1.loss_cls: 1.6574, decode.d1.loss_mask: 0.9075, decode.d1.loss_dice: 1.3739, decode.d2.loss_cls: 1.4788, decode.d2.loss_mask: 0.8882, decode.d2.loss_dice: 1.3128, decode.d3.loss_cls: 1.4247, decode.d3.loss_mask: 0.8826, decode.d3.loss_dice: 1.2974, decode.d4.loss_cls: 1.3963, decode.d4.loss_mask: 0.8912, decode.d4.loss_dice: 1.3089, decode.d5.loss_cls: 1.3758, decode.d5.loss_mask: 0.8963, decode.d5.loss_dice: 1.3111, decode.d6.loss_cls: 1.3665, decode.d6.loss_mask: 0.8885, decode.d6.loss_dice: 1.3074, decode.d7.loss_cls: 1.3587, decode.d7.loss_mask: 0.8894, decode.d7.loss_dice: 1.3196, decode.d8.loss_cls: 1.3470, decode.d8.loss_mask: 0.8910, decode.d8.loss_dice: 1.3167, loss: 42.4956, grad_norm: 90.4347 2023-11-21 21:47:02,626 - mmseg - INFO - Iter [3100/160000] lr: 9.340e-06, eta: 1 day, 2:38:53, time: 0.573, data_time: 0.015, memory: 38143, decode.loss_cls: 1.3746, decode.loss_mask: 0.8639, decode.loss_dice: 1.3491, decode.d0.loss_cls: 7.2069, decode.d0.loss_mask: 0.8813, decode.d0.loss_dice: 1.7188, decode.d1.loss_cls: 1.6902, decode.d1.loss_mask: 0.8768, decode.d1.loss_dice: 1.4310, decode.d2.loss_cls: 1.5105, decode.d2.loss_mask: 0.8508, decode.d2.loss_dice: 1.3638, decode.d3.loss_cls: 1.4393, decode.d3.loss_mask: 0.8508, decode.d3.loss_dice: 1.3378, decode.d4.loss_cls: 1.4178, decode.d4.loss_mask: 0.8541, decode.d4.loss_dice: 1.3396, decode.d5.loss_cls: 1.4078, decode.d5.loss_mask: 0.8563, decode.d5.loss_dice: 1.3403, decode.d6.loss_cls: 1.3952, decode.d6.loss_mask: 0.8595, decode.d6.loss_dice: 1.3320, decode.d7.loss_cls: 1.3788, decode.d7.loss_mask: 0.8572, decode.d7.loss_dice: 1.3353, decode.d8.loss_cls: 1.3675, decode.d8.loss_mask: 0.8683, decode.d8.loss_dice: 1.3436, loss: 42.6986, grad_norm: 85.7238 2023-11-21 21:47:31,139 - mmseg - INFO - Iter [3150/160000] lr: 9.337e-06, eta: 1 day, 2:36:39, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 1.3669, decode.loss_mask: 0.8707, decode.loss_dice: 1.3159, decode.d0.loss_cls: 7.0949, decode.d0.loss_mask: 0.8957, decode.d0.loss_dice: 1.6907, decode.d1.loss_cls: 1.6847, decode.d1.loss_mask: 0.8952, decode.d1.loss_dice: 1.3981, decode.d2.loss_cls: 1.4952, decode.d2.loss_mask: 0.8663, decode.d2.loss_dice: 1.3401, decode.d3.loss_cls: 1.4329, decode.d3.loss_mask: 0.8560, decode.d3.loss_dice: 1.3171, decode.d4.loss_cls: 1.4134, decode.d4.loss_mask: 0.8587, decode.d4.loss_dice: 1.3282, decode.d5.loss_cls: 1.3959, decode.d5.loss_mask: 0.8583, decode.d5.loss_dice: 1.3205, decode.d6.loss_cls: 1.3828, decode.d6.loss_mask: 0.8600, decode.d6.loss_dice: 1.3092, decode.d7.loss_cls: 1.3801, decode.d7.loss_mask: 0.8668, decode.d7.loss_dice: 1.3177, decode.d8.loss_cls: 1.3724, decode.d8.loss_mask: 0.8718, decode.d8.loss_dice: 1.3230, loss: 42.3789, grad_norm: 90.0788 2023-11-21 21:47:59,473 - mmseg - INFO - Iter [3200/160000] lr: 9.334e-06, eta: 1 day, 2:34:21, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 1.2937, decode.loss_mask: 0.8882, decode.loss_dice: 1.3151, decode.d0.loss_cls: 6.9857, decode.d0.loss_mask: 0.9155, decode.d0.loss_dice: 1.6475, decode.d1.loss_cls: 1.5920, decode.d1.loss_mask: 0.9013, decode.d1.loss_dice: 1.3776, decode.d2.loss_cls: 1.4213, decode.d2.loss_mask: 0.8826, decode.d2.loss_dice: 1.3204, decode.d3.loss_cls: 1.3620, decode.d3.loss_mask: 0.8809, decode.d3.loss_dice: 1.3067, decode.d4.loss_cls: 1.3395, decode.d4.loss_mask: 0.8782, decode.d4.loss_dice: 1.3082, decode.d5.loss_cls: 1.3217, decode.d5.loss_mask: 0.8845, decode.d5.loss_dice: 1.3031, decode.d6.loss_cls: 1.3100, decode.d6.loss_mask: 0.8794, decode.d6.loss_dice: 1.2946, decode.d7.loss_cls: 1.3005, decode.d7.loss_mask: 0.8815, decode.d7.loss_dice: 1.3082, decode.d8.loss_cls: 1.2960, decode.d8.loss_mask: 0.8876, decode.d8.loss_dice: 1.3106, loss: 41.5940, grad_norm: 93.7464 2023-11-21 21:48:27,814 - mmseg - INFO - Iter [3250/160000] lr: 9.331e-06, eta: 1 day, 2:32:06, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 1.3120, decode.loss_mask: 0.8884, decode.loss_dice: 1.3136, decode.d0.loss_cls: 6.8902, decode.d0.loss_mask: 0.8931, decode.d0.loss_dice: 1.6590, decode.d1.loss_cls: 1.6455, decode.d1.loss_mask: 0.8932, decode.d1.loss_dice: 1.3892, decode.d2.loss_cls: 1.4510, decode.d2.loss_mask: 0.8673, decode.d2.loss_dice: 1.3147, decode.d3.loss_cls: 1.3977, decode.d3.loss_mask: 0.8721, decode.d3.loss_dice: 1.2950, decode.d4.loss_cls: 1.3723, decode.d4.loss_mask: 0.8729, decode.d4.loss_dice: 1.2979, decode.d5.loss_cls: 1.3465, decode.d5.loss_mask: 0.8818, decode.d5.loss_dice: 1.3045, decode.d6.loss_cls: 1.3323, decode.d6.loss_mask: 0.8887, decode.d6.loss_dice: 1.3012, decode.d7.loss_cls: 1.3238, decode.d7.loss_mask: 0.8826, decode.d7.loss_dice: 1.3104, decode.d8.loss_cls: 1.3272, decode.d8.loss_mask: 0.8872, decode.d8.loss_dice: 1.3088, loss: 41.7202, grad_norm: 87.9705 2023-11-21 21:48:56,785 - mmseg - INFO - Iter [3300/160000] lr: 9.328e-06, eta: 1 day, 2:30:24, time: 0.579, data_time: 0.014, memory: 38143, decode.loss_cls: 1.3163, decode.loss_mask: 0.8598, decode.loss_dice: 1.3378, decode.d0.loss_cls: 6.8038, decode.d0.loss_mask: 0.8736, decode.d0.loss_dice: 1.6793, decode.d1.loss_cls: 1.6451, decode.d1.loss_mask: 0.8755, decode.d1.loss_dice: 1.4106, decode.d2.loss_cls: 1.4521, decode.d2.loss_mask: 0.8537, decode.d2.loss_dice: 1.3506, decode.d3.loss_cls: 1.3902, decode.d3.loss_mask: 0.8522, decode.d3.loss_dice: 1.3279, decode.d4.loss_cls: 1.3656, decode.d4.loss_mask: 0.8596, decode.d4.loss_dice: 1.3267, decode.d5.loss_cls: 1.3505, decode.d5.loss_mask: 0.8585, decode.d5.loss_dice: 1.3335, decode.d6.loss_cls: 1.3327, decode.d6.loss_mask: 0.8587, decode.d6.loss_dice: 1.3272, decode.d7.loss_cls: 1.3281, decode.d7.loss_mask: 0.8637, decode.d7.loss_dice: 1.3348, decode.d8.loss_cls: 1.3248, decode.d8.loss_mask: 0.8620, decode.d8.loss_dice: 1.3358, loss: 41.6907, grad_norm: 91.6710 2023-11-21 21:49:25,359 - mmseg - INFO - Iter [3350/160000] lr: 9.325e-06, eta: 1 day, 2:28:26, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 1.2749, decode.loss_mask: 0.8764, decode.loss_dice: 1.2727, decode.d0.loss_cls: 6.6797, decode.d0.loss_mask: 0.8920, decode.d0.loss_dice: 1.6201, decode.d1.loss_cls: 1.5659, decode.d1.loss_mask: 0.8902, decode.d1.loss_dice: 1.3559, decode.d2.loss_cls: 1.3834, decode.d2.loss_mask: 0.8685, decode.d2.loss_dice: 1.2897, decode.d3.loss_cls: 1.3160, decode.d3.loss_mask: 0.8660, decode.d3.loss_dice: 1.2703, decode.d4.loss_cls: 1.2931, decode.d4.loss_mask: 0.8720, decode.d4.loss_dice: 1.2730, decode.d5.loss_cls: 1.2810, decode.d5.loss_mask: 0.8735, decode.d5.loss_dice: 1.2855, decode.d6.loss_cls: 1.2747, decode.d6.loss_mask: 0.8660, decode.d6.loss_dice: 1.2730, decode.d7.loss_cls: 1.2697, decode.d7.loss_mask: 0.8717, decode.d7.loss_dice: 1.2828, decode.d8.loss_cls: 1.2698, decode.d8.loss_mask: 0.8736, decode.d8.loss_dice: 1.2770, loss: 40.5581, grad_norm: 90.0777 2023-11-21 21:49:53,800 - mmseg - INFO - Iter [3400/160000] lr: 9.323e-06, eta: 1 day, 2:26:25, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 1.2955, decode.loss_mask: 0.8794, decode.loss_dice: 1.3069, decode.d0.loss_cls: 6.5970, decode.d0.loss_mask: 0.8997, decode.d0.loss_dice: 1.6492, decode.d1.loss_cls: 1.6124, decode.d1.loss_mask: 0.8976, decode.d1.loss_dice: 1.3748, decode.d2.loss_cls: 1.4135, decode.d2.loss_mask: 0.8822, decode.d2.loss_dice: 1.3231, decode.d3.loss_cls: 1.3491, decode.d3.loss_mask: 0.8788, decode.d3.loss_dice: 1.3102, decode.d4.loss_cls: 1.3272, decode.d4.loss_mask: 0.8772, decode.d4.loss_dice: 1.3068, decode.d5.loss_cls: 1.3136, decode.d5.loss_mask: 0.8805, decode.d5.loss_dice: 1.3109, decode.d6.loss_cls: 1.3019, decode.d6.loss_mask: 0.8790, decode.d6.loss_dice: 1.3000, decode.d7.loss_cls: 1.2951, decode.d7.loss_mask: 0.8826, decode.d7.loss_dice: 1.3112, decode.d8.loss_cls: 1.2936, decode.d8.loss_mask: 0.8844, decode.d8.loss_dice: 1.3099, loss: 41.1433, grad_norm: 89.2758 2023-11-21 21:50:22,160 - mmseg - INFO - Iter [3450/160000] lr: 9.320e-06, eta: 1 day, 2:24:22, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 1.2274, decode.loss_mask: 0.8739, decode.loss_dice: 1.2805, decode.d0.loss_cls: 6.4789, decode.d0.loss_mask: 0.8849, decode.d0.loss_dice: 1.5944, decode.d1.loss_cls: 1.5365, decode.d1.loss_mask: 0.8915, decode.d1.loss_dice: 1.3445, decode.d2.loss_cls: 1.3546, decode.d2.loss_mask: 0.8724, decode.d2.loss_dice: 1.2838, decode.d3.loss_cls: 1.2936, decode.d3.loss_mask: 0.8648, decode.d3.loss_dice: 1.2727, decode.d4.loss_cls: 1.2787, decode.d4.loss_mask: 0.8676, decode.d4.loss_dice: 1.2716, decode.d5.loss_cls: 1.2610, decode.d5.loss_mask: 0.8786, decode.d5.loss_dice: 1.2769, decode.d6.loss_cls: 1.2466, decode.d6.loss_mask: 0.8753, decode.d6.loss_dice: 1.2728, decode.d7.loss_cls: 1.2304, decode.d7.loss_mask: 0.8767, decode.d7.loss_dice: 1.2821, decode.d8.loss_cls: 1.2344, decode.d8.loss_mask: 0.8757, decode.d8.loss_dice: 1.2741, loss: 40.0569, grad_norm: 86.9793 2023-11-21 21:50:50,565 - mmseg - INFO - Iter [3500/160000] lr: 9.317e-06, eta: 1 day, 2:22:24, time: 0.568, data_time: 0.017, memory: 38143, decode.loss_cls: 1.2694, decode.loss_mask: 0.8897, decode.loss_dice: 1.2995, decode.d0.loss_cls: 6.4124, decode.d0.loss_mask: 0.8957, decode.d0.loss_dice: 1.6398, decode.d1.loss_cls: 1.5827, decode.d1.loss_mask: 0.8949, decode.d1.loss_dice: 1.3691, decode.d2.loss_cls: 1.3983, decode.d2.loss_mask: 0.8671, decode.d2.loss_dice: 1.3055, decode.d3.loss_cls: 1.3396, decode.d3.loss_mask: 0.8703, decode.d3.loss_dice: 1.2934, decode.d4.loss_cls: 1.3280, decode.d4.loss_mask: 0.8731, decode.d4.loss_dice: 1.2914, decode.d5.loss_cls: 1.3096, decode.d5.loss_mask: 0.8766, decode.d5.loss_dice: 1.2912, decode.d6.loss_cls: 1.2901, decode.d6.loss_mask: 0.8790, decode.d6.loss_dice: 1.2863, decode.d7.loss_cls: 1.2921, decode.d7.loss_mask: 0.8793, decode.d7.loss_dice: 1.2932, decode.d8.loss_cls: 1.2816, decode.d8.loss_mask: 0.8816, decode.d8.loss_dice: 1.2884, loss: 40.6691, grad_norm: 86.0294 2023-11-21 21:51:18,995 - mmseg - INFO - Iter [3550/160000] lr: 9.314e-06, eta: 1 day, 2:20:30, time: 0.569, data_time: 0.015, memory: 38143, decode.loss_cls: 1.2640, decode.loss_mask: 0.8750, decode.loss_dice: 1.2995, decode.d0.loss_cls: 6.2999, decode.d0.loss_mask: 0.8866, decode.d0.loss_dice: 1.6346, decode.d1.loss_cls: 1.5956, decode.d1.loss_mask: 0.8973, decode.d1.loss_dice: 1.3686, decode.d2.loss_cls: 1.4006, decode.d2.loss_mask: 0.8691, decode.d2.loss_dice: 1.3133, decode.d3.loss_cls: 1.3284, decode.d3.loss_mask: 0.8713, decode.d3.loss_dice: 1.2966, decode.d4.loss_cls: 1.3138, decode.d4.loss_mask: 0.8753, decode.d4.loss_dice: 1.3065, decode.d5.loss_cls: 1.2925, decode.d5.loss_mask: 0.8774, decode.d5.loss_dice: 1.3007, decode.d6.loss_cls: 1.2791, decode.d6.loss_mask: 0.8749, decode.d6.loss_dice: 1.2955, decode.d7.loss_cls: 1.2748, decode.d7.loss_mask: 0.8732, decode.d7.loss_dice: 1.2968, decode.d8.loss_cls: 1.2654, decode.d8.loss_mask: 0.8824, decode.d8.loss_dice: 1.3047, loss: 40.5135, grad_norm: 89.9590 2023-11-21 21:51:47,755 - mmseg - INFO - Iter [3600/160000] lr: 9.311e-06, eta: 1 day, 2:18:52, time: 0.575, data_time: 0.015, memory: 38143, decode.loss_cls: 1.2838, decode.loss_mask: 0.8924, decode.loss_dice: 1.3247, decode.d0.loss_cls: 6.2269, decode.d0.loss_mask: 0.9048, decode.d0.loss_dice: 1.6700, decode.d1.loss_cls: 1.5905, decode.d1.loss_mask: 0.9020, decode.d1.loss_dice: 1.4005, decode.d2.loss_cls: 1.4049, decode.d2.loss_mask: 0.8875, decode.d2.loss_dice: 1.3438, decode.d3.loss_cls: 1.3473, decode.d3.loss_mask: 0.8824, decode.d3.loss_dice: 1.3342, decode.d4.loss_cls: 1.3336, decode.d4.loss_mask: 0.8872, decode.d4.loss_dice: 1.3353, decode.d5.loss_cls: 1.3191, decode.d5.loss_mask: 0.8863, decode.d5.loss_dice: 1.3248, decode.d6.loss_cls: 1.3033, decode.d6.loss_mask: 0.8919, decode.d6.loss_dice: 1.3229, decode.d7.loss_cls: 1.2976, decode.d7.loss_mask: 0.8946, decode.d7.loss_dice: 1.3249, decode.d8.loss_cls: 1.2859, decode.d8.loss_mask: 0.8947, decode.d8.loss_dice: 1.3254, loss: 41.0231, grad_norm: 90.8494 2023-11-21 21:52:16,253 - mmseg - INFO - Iter [3650/160000] lr: 9.308e-06, eta: 1 day, 2:17:06, time: 0.570, data_time: 0.015, memory: 38143, decode.loss_cls: 1.2349, decode.loss_mask: 0.8688, decode.loss_dice: 1.3006, decode.d0.loss_cls: 6.1020, decode.d0.loss_mask: 0.8760, decode.d0.loss_dice: 1.6354, decode.d1.loss_cls: 1.5201, decode.d1.loss_mask: 0.8843, decode.d1.loss_dice: 1.3724, decode.d2.loss_cls: 1.3424, decode.d2.loss_mask: 0.8655, decode.d2.loss_dice: 1.3056, decode.d3.loss_cls: 1.2922, decode.d3.loss_mask: 0.8645, decode.d3.loss_dice: 1.2893, decode.d4.loss_cls: 1.2687, decode.d4.loss_mask: 0.8739, decode.d4.loss_dice: 1.2976, decode.d5.loss_cls: 1.2516, decode.d5.loss_mask: 0.8715, decode.d5.loss_dice: 1.2997, decode.d6.loss_cls: 1.2415, decode.d6.loss_mask: 0.8688, decode.d6.loss_dice: 1.2912, decode.d7.loss_cls: 1.2336, decode.d7.loss_mask: 0.8678, decode.d7.loss_dice: 1.2978, decode.d8.loss_cls: 1.2286, decode.d8.loss_mask: 0.8695, decode.d8.loss_dice: 1.2995, loss: 39.8154, grad_norm: 90.2658 2023-11-21 21:52:44,789 - mmseg - INFO - Iter [3700/160000] lr: 9.305e-06, eta: 1 day, 2:15:22, time: 0.571, data_time: 0.015, memory: 38143, decode.loss_cls: 1.2746, decode.loss_mask: 0.8608, decode.loss_dice: 1.2955, decode.d0.loss_cls: 6.0268, decode.d0.loss_mask: 0.8730, decode.d0.loss_dice: 1.6216, decode.d1.loss_cls: 1.5756, decode.d1.loss_mask: 0.8730, decode.d1.loss_dice: 1.3651, decode.d2.loss_cls: 1.3811, decode.d2.loss_mask: 0.8601, decode.d2.loss_dice: 1.3105, decode.d3.loss_cls: 1.3225, decode.d3.loss_mask: 0.8642, decode.d3.loss_dice: 1.2944, decode.d4.loss_cls: 1.3052, decode.d4.loss_mask: 0.8564, decode.d4.loss_dice: 1.2976, decode.d5.loss_cls: 1.2910, decode.d5.loss_mask: 0.8561, decode.d5.loss_dice: 1.2942, decode.d6.loss_cls: 1.2784, decode.d6.loss_mask: 0.8561, decode.d6.loss_dice: 1.2859, decode.d7.loss_cls: 1.2751, decode.d7.loss_mask: 0.8621, decode.d7.loss_dice: 1.2938, decode.d8.loss_cls: 1.2649, decode.d8.loss_mask: 0.8630, decode.d8.loss_dice: 1.2956, loss: 39.9741, grad_norm: 88.8337 2023-11-21 21:53:13,143 - mmseg - INFO - Iter [3750/160000] lr: 9.302e-06, eta: 1 day, 2:13:34, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 1.2374, decode.loss_mask: 0.8747, decode.loss_dice: 1.3058, decode.d0.loss_cls: 5.9251, decode.d0.loss_mask: 0.8689, decode.d0.loss_dice: 1.6305, decode.d1.loss_cls: 1.5687, decode.d1.loss_mask: 0.8847, decode.d1.loss_dice: 1.3813, decode.d2.loss_cls: 1.3681, decode.d2.loss_mask: 0.8650, decode.d2.loss_dice: 1.3147, decode.d3.loss_cls: 1.3116, decode.d3.loss_mask: 0.8585, decode.d3.loss_dice: 1.3019, decode.d4.loss_cls: 1.2818, decode.d4.loss_mask: 0.8660, decode.d4.loss_dice: 1.3044, decode.d5.loss_cls: 1.2687, decode.d5.loss_mask: 0.8661, decode.d5.loss_dice: 1.3008, decode.d6.loss_cls: 1.2503, decode.d6.loss_mask: 0.8642, decode.d6.loss_dice: 1.3000, decode.d7.loss_cls: 1.2398, decode.d7.loss_mask: 0.8730, decode.d7.loss_dice: 1.3077, decode.d8.loss_cls: 1.2452, decode.d8.loss_mask: 0.8653, decode.d8.loss_dice: 1.3071, loss: 39.8373, grad_norm: 85.0234 2023-11-21 21:53:43,874 - mmseg - INFO - Iter [3800/160000] lr: 9.299e-06, eta: 1 day, 2:13:25, time: 0.615, data_time: 0.060, memory: 38143, decode.loss_cls: 1.2073, decode.loss_mask: 0.8846, decode.loss_dice: 1.3085, decode.d0.loss_cls: 5.7707, decode.d0.loss_mask: 0.8963, decode.d0.loss_dice: 1.6198, decode.d1.loss_cls: 1.4865, decode.d1.loss_mask: 0.9024, decode.d1.loss_dice: 1.3817, decode.d2.loss_cls: 1.3157, decode.d2.loss_mask: 0.8829, decode.d2.loss_dice: 1.3199, decode.d3.loss_cls: 1.2587, decode.d3.loss_mask: 0.8837, decode.d3.loss_dice: 1.3037, decode.d4.loss_cls: 1.2520, decode.d4.loss_mask: 0.8872, decode.d4.loss_dice: 1.3106, decode.d5.loss_cls: 1.2371, decode.d5.loss_mask: 0.8874, decode.d5.loss_dice: 1.3058, decode.d6.loss_cls: 1.2326, decode.d6.loss_mask: 0.8810, decode.d6.loss_dice: 1.2975, decode.d7.loss_cls: 1.2189, decode.d7.loss_mask: 0.8866, decode.d7.loss_dice: 1.3073, decode.d8.loss_cls: 1.2123, decode.d8.loss_mask: 0.8894, decode.d8.loss_dice: 1.3052, loss: 39.5335, grad_norm: 91.0290 2023-11-21 21:54:12,307 - mmseg - INFO - Iter [3850/160000] lr: 9.296e-06, eta: 1 day, 2:11:42, time: 0.569, data_time: 0.015, memory: 38143, decode.loss_cls: 1.2152, decode.loss_mask: 0.8393, decode.loss_dice: 1.2646, decode.d0.loss_cls: 5.7066, decode.d0.loss_mask: 0.8657, decode.d0.loss_dice: 1.5829, decode.d1.loss_cls: 1.5102, decode.d1.loss_mask: 0.8667, decode.d1.loss_dice: 1.3435, decode.d2.loss_cls: 1.3238, decode.d2.loss_mask: 0.8374, decode.d2.loss_dice: 1.2867, decode.d3.loss_cls: 1.2682, decode.d3.loss_mask: 0.8352, decode.d3.loss_dice: 1.2720, decode.d4.loss_cls: 1.2399, decode.d4.loss_mask: 0.8449, decode.d4.loss_dice: 1.2814, decode.d5.loss_cls: 1.2326, decode.d5.loss_mask: 0.8433, decode.d5.loss_dice: 1.2778, decode.d6.loss_cls: 1.2208, decode.d6.loss_mask: 0.8402, decode.d6.loss_dice: 1.2688, decode.d7.loss_cls: 1.2187, decode.d7.loss_mask: 0.8420, decode.d7.loss_dice: 1.2697, decode.d8.loss_cls: 1.2236, decode.d8.loss_mask: 0.8395, decode.d8.loss_dice: 1.2698, loss: 38.7313, grad_norm: 84.7572 2023-11-21 21:54:41,089 - mmseg - INFO - Iter [3900/160000] lr: 9.293e-06, eta: 1 day, 2:10:15, time: 0.576, data_time: 0.015, memory: 38143, decode.loss_cls: 1.2133, decode.loss_mask: 0.8355, decode.loss_dice: 1.2499, decode.d0.loss_cls: 5.6155, decode.d0.loss_mask: 0.8537, decode.d0.loss_dice: 1.5786, decode.d1.loss_cls: 1.5186, decode.d1.loss_mask: 0.8610, decode.d1.loss_dice: 1.3294, decode.d2.loss_cls: 1.3286, decode.d2.loss_mask: 0.8337, decode.d2.loss_dice: 1.2562, decode.d3.loss_cls: 1.2710, decode.d3.loss_mask: 0.8277, decode.d3.loss_dice: 1.2401, decode.d4.loss_cls: 1.2476, decode.d4.loss_mask: 0.8334, decode.d4.loss_dice: 1.2527, decode.d5.loss_cls: 1.2375, decode.d5.loss_mask: 0.8346, decode.d5.loss_dice: 1.2429, decode.d6.loss_cls: 1.2187, decode.d6.loss_mask: 0.8351, decode.d6.loss_dice: 1.2384, decode.d7.loss_cls: 1.2150, decode.d7.loss_mask: 0.8354, decode.d7.loss_dice: 1.2459, decode.d8.loss_cls: 1.2099, decode.d8.loss_mask: 0.8366, decode.d8.loss_dice: 1.2529, loss: 38.3495, grad_norm: 85.4616 2023-11-21 21:55:09,496 - mmseg - INFO - Iter [3950/160000] lr: 9.290e-06, eta: 1 day, 2:08:35, time: 0.568, data_time: 0.015, memory: 38143, decode.loss_cls: 1.2085, decode.loss_mask: 0.8373, decode.loss_dice: 1.2508, decode.d0.loss_cls: 5.5174, decode.d0.loss_mask: 0.8486, decode.d0.loss_dice: 1.5683, decode.d1.loss_cls: 1.4907, decode.d1.loss_mask: 0.8679, decode.d1.loss_dice: 1.3362, decode.d2.loss_cls: 1.3101, decode.d2.loss_mask: 0.8573, decode.d2.loss_dice: 1.2836, decode.d3.loss_cls: 1.2615, decode.d3.loss_mask: 0.8478, decode.d3.loss_dice: 1.2576, decode.d4.loss_cls: 1.2418, decode.d4.loss_mask: 0.8455, decode.d4.loss_dice: 1.2601, decode.d5.loss_cls: 1.2286, decode.d5.loss_mask: 0.8394, decode.d5.loss_dice: 1.2601, decode.d6.loss_cls: 1.2084, decode.d6.loss_mask: 0.8439, decode.d6.loss_dice: 1.2534, decode.d7.loss_cls: 1.1912, decode.d7.loss_mask: 0.8487, decode.d7.loss_dice: 1.2610, decode.d8.loss_cls: 1.2002, decode.d8.loss_mask: 0.8442, decode.d8.loss_dice: 1.2543, loss: 38.3245, grad_norm: 84.1507 2023-11-21 21:55:37,934 - mmseg - INFO - Saving checkpoint at 4000 iterations 2023-11-21 21:55:46,606 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-21 21:55:46,607 - mmseg - INFO - Iter [4000/160000] lr: 9.287e-06, eta: 1 day, 2:12:36, time: 0.742, data_time: 0.014, memory: 38143, decode.loss_cls: 1.1635, decode.loss_mask: 0.8513, decode.loss_dice: 1.2417, decode.d0.loss_cls: 5.3715, decode.d0.loss_mask: 0.8750, decode.d0.loss_dice: 1.5506, decode.d1.loss_cls: 1.4441, decode.d1.loss_mask: 0.8813, decode.d1.loss_dice: 1.3173, decode.d2.loss_cls: 1.2766, decode.d2.loss_mask: 0.8537, decode.d2.loss_dice: 1.2603, decode.d3.loss_cls: 1.2147, decode.d3.loss_mask: 0.8514, decode.d3.loss_dice: 1.2425, decode.d4.loss_cls: 1.1980, decode.d4.loss_mask: 0.8575, decode.d4.loss_dice: 1.2519, decode.d5.loss_cls: 1.1876, decode.d5.loss_mask: 0.8564, decode.d5.loss_dice: 1.2547, decode.d6.loss_cls: 1.1768, decode.d6.loss_mask: 0.8533, decode.d6.loss_dice: 1.2446, decode.d7.loss_cls: 1.1707, decode.d7.loss_mask: 0.8579, decode.d7.loss_dice: 1.2436, decode.d8.loss_cls: 1.1673, decode.d8.loss_mask: 0.8516, decode.d8.loss_dice: 1.2463, loss: 37.8136, grad_norm: 90.7326 2023-11-21 21:56:05,967 - mmseg - INFO - per class results: 2023-11-21 21:56:05,973 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 75.83 | 85.06 | | building | 80.11 | 93.39 | | sky | 94.48 | 96.81 | | floor | 82.65 | 89.93 | | tree | 73.35 | 89.46 | | ceiling | 85.06 | 92.43 | | road | 75.78 | 87.93 | | bed | 80.53 | 95.6 | | windowpane | 60.6 | 75.65 | | grass | 65.48 | 81.5 | | cabinet | 50.43 | 82.75 | | sidewalk | 59.68 | 79.52 | | person | 83.98 | 92.44 | | earth | 34.44 | 51.37 | | door | 38.87 | 78.13 | | table | 50.01 | 80.86 | | mountain | 59.08 | 73.02 | | plant | 50.71 | 73.21 | | curtain | 68.46 | 88.26 | | chair | 51.78 | 75.11 | | car | 78.38 | 95.43 | | water | 30.44 | 39.57 | | painting | 55.91 | 92.0 | | sofa | 61.44 | 85.27 | | shelf | 36.76 | 72.96 | | house | 0.66 | 0.66 | | sea | 37.39 | 86.01 | | mirror | 58.48 | 73.91 | | rug | 69.5 | 83.39 | | field | 19.14 | 29.73 | | armchair | 28.28 | 49.76 | | seat | 34.31 | 44.86 | | fence | 24.51 | 57.89 | | desk | 3.18 | 4.98 | | rock | 39.49 | 74.32 | | wardrobe | 0.0 | 0.0 | | lamp | 60.58 | 78.09 | | bathtub | 31.08 | 34.66 | | railing | 22.52 | 29.89 | | cushion | 60.65 | 72.6 | | base | 0.0 | 0.0 | | box | 18.9 | 30.32 | | column | 45.4 | 51.68 | | signboard | 31.15 | 60.99 | | chest of drawers | 4.87 | 4.89 | | counter | 0.0 | 0.0 | | sand | 0.0 | 0.0 | | sink | 60.25 | 87.03 | | skyscraper | 31.56 | 37.07 | | fireplace | 60.11 | 70.16 | | refrigerator | 44.6 | 45.35 | | grandstand | 0.0 | 0.0 | | path | 6.53 | 7.53 | | stairs | 33.5 | 45.19 | | runway | 0.0 | 0.0 | | case | 0.0 | 0.0 | | pool table | 12.4 | 12.44 | | pillow | 57.21 | 75.29 | | screen door | 0.0 | 0.0 | | stairway | 26.13 | 28.47 | | river | 0.28 | 0.29 | | bridge | 16.97 | 17.64 | | bookcase | 0.0 | 0.0 | | blind | 0.0 | 0.0 | | coffee table | 48.23 | 87.21 | | toilet | 79.76 | 91.68 | | flower | 32.1 | 42.4 | | book | 39.94 | 73.9 | | hill | 0.0 | 0.0 | | bench | 0.01 | 0.01 | | countertop | 26.77 | 28.13 | | stove | 49.09 | 86.03 | | palm | 50.44 | 72.46 | | kitchen island | 0.0 | 0.0 | | computer | 16.86 | 17.61 | | swivel chair | 0.82 | 0.83 | | boat | 0.54 | 0.55 | | bar | 0.0 | 0.0 | | arcade machine | 0.0 | 0.0 | | hovel | 0.0 | 0.0 | | bus | 0.0 | 0.0 | | towel | 25.53 | 71.88 | | light | 52.32 | 69.89 | | truck | 3.46 | 6.49 | | tower | 0.0 | 0.0 | | chandelier | 54.95 | 74.15 | | awning | 19.09 | 47.68 | | streetlight | 27.19 | 59.69 | | booth | 0.0 | 0.0 | | television receiver | 25.99 | 81.08 | | airplane | 17.84 | 17.88 | | dirt track | 0.0 | 0.0 | | apparel | 0.0 | 0.0 | | pole | 25.37 | 53.86 | | land | 0.0 | 0.0 | | bannister | 0.45 | 0.45 | | escalator | 0.0 | 0.0 | | ottoman | 0.0 | 0.0 | | bottle | 15.64 | 20.11 | | buffet | 0.0 | 0.0 | | poster | 0.0 | 0.0 | | stage | 0.0 | 0.0 | | van | 23.13 | 38.08 | | ship | 0.0 | 0.0 | | fountain | 0.0 | 0.0 | | conveyer belt | 0.0 | 0.0 | | canopy | 0.0 | 0.0 | | washer | 0.0 | 0.0 | | plaything | 0.68 | 0.69 | | swimming pool | 0.0 | 0.0 | | stool | 0.0 | 0.0 | | barrel | 0.0 | 0.0 | | basket | 8.38 | 9.54 | | waterfall | 0.0 | 0.0 | | tent | 0.0 | 0.0 | | bag | 0.0 | 0.0 | | minibike | 0.25 | 0.26 | | cradle | 0.0 | 0.0 | | oven | 0.0 | 0.0 | | ball | 0.0 | 0.0 | | food | 0.0 | 0.0 | | step | 0.0 | 0.0 | | tank | 0.0 | 0.0 | | trade name | 5.71 | 5.94 | | microwave | 26.35 | 31.37 | | pot | 36.95 | 49.83 | | animal | 0.0 | 0.0 | | bicycle | 30.95 | 85.12 | | lake | 0.0 | 0.0 | | dishwasher | 17.99 | 21.53 | | screen | 0.0 | 0.0 | | blanket | 0.0 | 0.0 | | sculpture | 0.0 | 0.0 | | hood | 0.0 | 0.0 | | sconce | 23.57 | 29.67 | | vase | 30.97 | 53.57 | | traffic light | 0.02 | 0.02 | | tray | 0.0 | 0.0 | | ashcan | 17.73 | 20.97 | | fan | 33.16 | 40.33 | | pier | 0.0 | 0.0 | | crt screen | 0.0 | 0.0 | | plate | 51.16 | 59.45 | | monitor | 0.0 | 0.0 | | bulletin board | 0.0 | 0.0 | | shower | 0.0 | 0.0 | | radiator | 0.0 | 0.0 | | glass | 2.36 | 2.37 | | clock | 14.33 | 19.29 | | flag | 4.05 | 4.08 | +---------------------+-------+-------+ 2023-11-21 21:56:05,973 - mmseg - INFO - Summary: 2023-11-21 21:56:05,973 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 78.26 | 23.09 | 32.13 | +-------+-------+-------+ 2023-11-21 21:56:06,147 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_l_640_160k_ade20k_ss/best_mIoU_iter_2000.pth was removed 2023-11-21 21:56:13,444 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_4000.pth. 2023-11-21 21:56:13,445 - mmseg - INFO - Best mIoU is 0.2309 at 4000 iter. 2023-11-21 21:56:13,445 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-21 21:56:13,446 - mmseg - INFO - Iter(val) [250] aAcc: 0.7826, mIoU: 0.2309, mAcc: 0.3213, IoU.wall: 0.7583, IoU.building: 0.8011, IoU.sky: 0.9448, IoU.floor: 0.8265, IoU.tree: 0.7335, IoU.ceiling: 0.8506, IoU.road: 0.7578, IoU.bed : 0.8053, IoU.windowpane: 0.6060, IoU.grass: 0.6548, IoU.cabinet: 0.5043, IoU.sidewalk: 0.5968, IoU.person: 0.8398, IoU.earth: 0.3444, IoU.door: 0.3887, IoU.table: 0.5001, IoU.mountain: 0.5908, IoU.plant: 0.5071, IoU.curtain: 0.6846, IoU.chair: 0.5178, IoU.car: 0.7838, IoU.water: 0.3044, IoU.painting: 0.5591, IoU.sofa: 0.6144, IoU.shelf: 0.3676, IoU.house: 0.0066, IoU.sea: 0.3739, IoU.mirror: 0.5848, IoU.rug: 0.6950, IoU.field: 0.1914, IoU.armchair: 0.2828, IoU.seat: 0.3431, IoU.fence: 0.2451, IoU.desk: 0.0318, IoU.rock: 0.3949, IoU.wardrobe: 0.0000, IoU.lamp: 0.6058, IoU.bathtub: 0.3108, IoU.railing: 0.2252, IoU.cushion: 0.6065, IoU.base: 0.0000, IoU.box: 0.1890, IoU.column: 0.4540, IoU.signboard: 0.3115, IoU.chest of drawers: 0.0487, IoU.counter: 0.0000, IoU.sand: 0.0000, IoU.sink: 0.6025, IoU.skyscraper: 0.3156, IoU.fireplace: 0.6011, IoU.refrigerator: 0.4460, IoU.grandstand: 0.0000, IoU.path: 0.0653, IoU.stairs: 0.3350, IoU.runway: 0.0000, IoU.case: 0.0000, IoU.pool table: 0.1240, IoU.pillow: 0.5721, IoU.screen door: 0.0000, IoU.stairway: 0.2613, IoU.river: 0.0028, IoU.bridge: 0.1697, IoU.bookcase: 0.0000, IoU.blind: 0.0000, IoU.coffee table: 0.4823, IoU.toilet: 0.7976, IoU.flower: 0.3210, IoU.book: 0.3994, IoU.hill: 0.0000, IoU.bench: 0.0001, IoU.countertop: 0.2677, IoU.stove: 0.4909, IoU.palm: 0.5044, IoU.kitchen island: 0.0000, IoU.computer: 0.1686, IoU.swivel chair: 0.0082, IoU.boat: 0.0054, IoU.bar: 0.0000, IoU.arcade machine: 0.0000, IoU.hovel: 0.0000, IoU.bus: 0.0000, IoU.towel: 0.2553, IoU.light: 0.5232, IoU.truck: 0.0346, IoU.tower: 0.0000, IoU.chandelier: 0.5495, IoU.awning: 0.1909, IoU.streetlight: 0.2719, IoU.booth: 0.0000, IoU.television receiver: 0.2599, IoU.airplane: 0.1784, IoU.dirt track: 0.0000, IoU.apparel: 0.0000, IoU.pole: 0.2537, IoU.land: 0.0000, IoU.bannister: 0.0045, IoU.escalator: 0.0000, IoU.ottoman: 0.0000, IoU.bottle: 0.1564, IoU.buffet: 0.0000, IoU.poster: 0.0000, IoU.stage: 0.0000, IoU.van: 0.2313, IoU.ship: 0.0000, IoU.fountain: 0.0000, IoU.conveyer belt: 0.0000, IoU.canopy: 0.0000, IoU.washer: 0.0000, IoU.plaything: 0.0068, IoU.swimming pool: 0.0000, IoU.stool: 0.0000, IoU.barrel: 0.0000, IoU.basket: 0.0838, IoU.waterfall: 0.0000, IoU.tent: 0.0000, IoU.bag: 0.0000, IoU.minibike: 0.0025, IoU.cradle: 0.0000, IoU.oven: 0.0000, IoU.ball: 0.0000, IoU.food: 0.0000, IoU.step: 0.0000, IoU.tank: 0.0000, IoU.trade name: 0.0571, IoU.microwave: 0.2635, IoU.pot: 0.3695, IoU.animal: 0.0000, IoU.bicycle: 0.3095, IoU.lake: 0.0000, IoU.dishwasher: 0.1799, IoU.screen: 0.0000, IoU.blanket: 0.0000, IoU.sculpture: 0.0000, IoU.hood: 0.0000, IoU.sconce: 0.2357, IoU.vase: 0.3097, IoU.traffic light: 0.0002, IoU.tray: 0.0000, IoU.ashcan: 0.1773, IoU.fan: 0.3316, IoU.pier: 0.0000, IoU.crt screen: 0.0000, IoU.plate: 0.5116, IoU.monitor: 0.0000, IoU.bulletin board: 0.0000, IoU.shower: 0.0000, IoU.radiator: 0.0000, IoU.glass: 0.0236, IoU.clock: 0.1433, IoU.flag: 0.0405, Acc.wall: 0.8506, Acc.building: 0.9339, Acc.sky: 0.9681, Acc.floor: 0.8993, Acc.tree: 0.8946, Acc.ceiling: 0.9243, Acc.road: 0.8793, Acc.bed : 0.9560, Acc.windowpane: 0.7565, Acc.grass: 0.8150, Acc.cabinet: 0.8275, Acc.sidewalk: 0.7952, Acc.person: 0.9244, Acc.earth: 0.5137, Acc.door: 0.7813, Acc.table: 0.8086, Acc.mountain: 0.7302, Acc.plant: 0.7321, Acc.curtain: 0.8826, Acc.chair: 0.7511, Acc.car: 0.9543, Acc.water: 0.3957, Acc.painting: 0.9200, Acc.sofa: 0.8527, Acc.shelf: 0.7296, Acc.house: 0.0066, Acc.sea: 0.8601, Acc.mirror: 0.7391, Acc.rug: 0.8339, Acc.field: 0.2973, Acc.armchair: 0.4976, Acc.seat: 0.4486, Acc.fence: 0.5789, Acc.desk: 0.0498, Acc.rock: 0.7432, Acc.wardrobe: 0.0000, Acc.lamp: 0.7809, Acc.bathtub: 0.3466, Acc.railing: 0.2989, Acc.cushion: 0.7260, Acc.base: 0.0000, Acc.box: 0.3032, Acc.column: 0.5168, Acc.signboard: 0.6099, Acc.chest of drawers: 0.0489, Acc.counter: 0.0000, Acc.sand: 0.0000, Acc.sink: 0.8703, Acc.skyscraper: 0.3707, Acc.fireplace: 0.7016, Acc.refrigerator: 0.4535, Acc.grandstand: 0.0000, Acc.path: 0.0753, Acc.stairs: 0.4519, Acc.runway: 0.0000, Acc.case: 0.0000, Acc.pool table: 0.1244, Acc.pillow: 0.7529, Acc.screen door: 0.0000, Acc.stairway: 0.2847, Acc.river: 0.0029, Acc.bridge: 0.1764, Acc.bookcase: 0.0000, Acc.blind: 0.0000, Acc.coffee table: 0.8721, Acc.toilet: 0.9168, Acc.flower: 0.4240, Acc.book: 0.7390, Acc.hill: 0.0000, Acc.bench: 0.0001, Acc.countertop: 0.2813, Acc.stove: 0.8603, Acc.palm: 0.7246, Acc.kitchen island: 0.0000, Acc.computer: 0.1761, Acc.swivel chair: 0.0083, Acc.boat: 0.0055, Acc.bar: 0.0000, Acc.arcade machine: 0.0000, Acc.hovel: 0.0000, Acc.bus: 0.0000, Acc.towel: 0.7188, Acc.light: 0.6989, Acc.truck: 0.0649, Acc.tower: 0.0000, Acc.chandelier: 0.7415, Acc.awning: 0.4768, Acc.streetlight: 0.5969, Acc.booth: 0.0000, Acc.television receiver: 0.8108, Acc.airplane: 0.1788, Acc.dirt track: 0.0000, Acc.apparel: 0.0000, Acc.pole: 0.5386, Acc.land: 0.0000, Acc.bannister: 0.0045, Acc.escalator: 0.0000, Acc.ottoman: 0.0000, Acc.bottle: 0.2011, Acc.buffet: 0.0000, Acc.poster: 0.0000, Acc.stage: 0.0000, Acc.van: 0.3808, Acc.ship: 0.0000, Acc.fountain: 0.0000, Acc.conveyer belt: 0.0000, Acc.canopy: 0.0000, Acc.washer: 0.0000, Acc.plaything: 0.0069, Acc.swimming pool: 0.0000, Acc.stool: 0.0000, Acc.barrel: 0.0000, Acc.basket: 0.0954, Acc.waterfall: 0.0000, Acc.tent: 0.0000, Acc.bag: 0.0000, Acc.minibike: 0.0026, Acc.cradle: 0.0000, Acc.oven: 0.0000, Acc.ball: 0.0000, Acc.food: 0.0000, Acc.step: 0.0000, Acc.tank: 0.0000, Acc.trade name: 0.0594, Acc.microwave: 0.3137, Acc.pot: 0.4983, Acc.animal: 0.0000, Acc.bicycle: 0.8512, Acc.lake: 0.0000, Acc.dishwasher: 0.2153, Acc.screen: 0.0000, Acc.blanket: 0.0000, Acc.sculpture: 0.0000, Acc.hood: 0.0000, Acc.sconce: 0.2967, Acc.vase: 0.5357, Acc.traffic light: 0.0002, Acc.tray: 0.0000, Acc.ashcan: 0.2097, Acc.fan: 0.4033, Acc.pier: 0.0000, Acc.crt screen: 0.0000, Acc.plate: 0.5945, Acc.monitor: 0.0000, Acc.bulletin board: 0.0000, Acc.shower: 0.0000, Acc.radiator: 0.0000, Acc.glass: 0.0237, Acc.clock: 0.1929, Acc.flag: 0.0408 2023-11-21 21:56:41,801 - mmseg - INFO - Iter [4050/160000] lr: 9.284e-06, eta: 1 day, 2:28:07, time: 1.104, data_time: 0.551, memory: 38143, decode.loss_cls: 1.2059, decode.loss_mask: 0.8536, decode.loss_dice: 1.2582, decode.d0.loss_cls: 5.3201, decode.d0.loss_mask: 0.8755, decode.d0.loss_dice: 1.5772, decode.d1.loss_cls: 1.5035, decode.d1.loss_mask: 0.8590, decode.d1.loss_dice: 1.3465, decode.d2.loss_cls: 1.3054, decode.d2.loss_mask: 0.8443, decode.d2.loss_dice: 1.2666, decode.d3.loss_cls: 1.2654, decode.d3.loss_mask: 0.8500, decode.d3.loss_dice: 1.2536, decode.d4.loss_cls: 1.2409, decode.d4.loss_mask: 0.8472, decode.d4.loss_dice: 1.2533, decode.d5.loss_cls: 1.2329, decode.d5.loss_mask: 0.8495, decode.d5.loss_dice: 1.2515, decode.d6.loss_cls: 1.2200, decode.d6.loss_mask: 0.8462, decode.d6.loss_dice: 1.2494, decode.d7.loss_cls: 1.2012, decode.d7.loss_mask: 0.8470, decode.d7.loss_dice: 1.2570, decode.d8.loss_cls: 1.2038, decode.d8.loss_mask: 0.8539, decode.d8.loss_dice: 1.2587, loss: 38.1972, grad_norm: 84.2942 2023-11-21 21:57:10,241 - mmseg - INFO - Iter [4100/160000] lr: 9.281e-06, eta: 1 day, 2:26:16, time: 0.569, data_time: 0.015, memory: 38143, decode.loss_cls: 1.2157, decode.loss_mask: 0.8250, decode.loss_dice: 1.2817, decode.d0.loss_cls: 5.2460, decode.d0.loss_mask: 0.8407, decode.d0.loss_dice: 1.6031, decode.d1.loss_cls: 1.5116, decode.d1.loss_mask: 0.8493, decode.d1.loss_dice: 1.3638, decode.d2.loss_cls: 1.3249, decode.d2.loss_mask: 0.8241, decode.d2.loss_dice: 1.2948, decode.d3.loss_cls: 1.2657, decode.d3.loss_mask: 0.8237, decode.d3.loss_dice: 1.2735, decode.d4.loss_cls: 1.2461, decode.d4.loss_mask: 0.8316, decode.d4.loss_dice: 1.2856, decode.d5.loss_cls: 1.2255, decode.d5.loss_mask: 0.8304, decode.d5.loss_dice: 1.2860, decode.d6.loss_cls: 1.2147, decode.d6.loss_mask: 0.8307, decode.d6.loss_dice: 1.2785, decode.d7.loss_cls: 1.2094, decode.d7.loss_mask: 0.8340, decode.d7.loss_dice: 1.2884, decode.d8.loss_cls: 1.2045, decode.d8.loss_mask: 0.8341, decode.d8.loss_dice: 1.2865, loss: 38.2295, grad_norm: 84.0331 2023-11-21 21:57:38,870 - mmseg - INFO - Iter [4150/160000] lr: 9.278e-06, eta: 1 day, 2:24:34, time: 0.573, data_time: 0.016, memory: 38143, decode.loss_cls: 1.2418, decode.loss_mask: 0.8423, decode.loss_dice: 1.2924, decode.d0.loss_cls: 5.1752, decode.d0.loss_mask: 0.8560, decode.d0.loss_dice: 1.6112, decode.d1.loss_cls: 1.5441, decode.d1.loss_mask: 0.8651, decode.d1.loss_dice: 1.3827, decode.d2.loss_cls: 1.3574, decode.d2.loss_mask: 0.8402, decode.d2.loss_dice: 1.3220, decode.d3.loss_cls: 1.3035, decode.d3.loss_mask: 0.8405, decode.d3.loss_dice: 1.3005, decode.d4.loss_cls: 1.2917, decode.d4.loss_mask: 0.8399, decode.d4.loss_dice: 1.3001, decode.d5.loss_cls: 1.2693, decode.d5.loss_mask: 0.8435, decode.d5.loss_dice: 1.3070, decode.d6.loss_cls: 1.2602, decode.d6.loss_mask: 0.8393, decode.d6.loss_dice: 1.2849, decode.d7.loss_cls: 1.2416, decode.d7.loss_mask: 0.8439, decode.d7.loss_dice: 1.2922, decode.d8.loss_cls: 1.2473, decode.d8.loss_mask: 0.8409, decode.d8.loss_dice: 1.2925, loss: 38.7689, grad_norm: 88.2307 2023-11-21 21:58:07,566 - mmseg - INFO - Iter [4200/160000] lr: 9.275e-06, eta: 1 day, 2:22:57, time: 0.574, data_time: 0.015, memory: 38143, decode.loss_cls: 1.2149, decode.loss_mask: 0.8847, decode.loss_dice: 1.2969, decode.d0.loss_cls: 5.0707, decode.d0.loss_mask: 0.8860, decode.d0.loss_dice: 1.5994, decode.d1.loss_cls: 1.5043, decode.d1.loss_mask: 0.9053, decode.d1.loss_dice: 1.3778, decode.d2.loss_cls: 1.3242, decode.d2.loss_mask: 0.8774, decode.d2.loss_dice: 1.3158, decode.d3.loss_cls: 1.2633, decode.d3.loss_mask: 0.8709, decode.d3.loss_dice: 1.3010, decode.d4.loss_cls: 1.2394, decode.d4.loss_mask: 0.8734, decode.d4.loss_dice: 1.2991, decode.d5.loss_cls: 1.2332, decode.d5.loss_mask: 0.8711, decode.d5.loss_dice: 1.2995, decode.d6.loss_cls: 1.2196, decode.d6.loss_mask: 0.8765, decode.d6.loss_dice: 1.2952, decode.d7.loss_cls: 1.2139, decode.d7.loss_mask: 0.8837, decode.d7.loss_dice: 1.3050, decode.d8.loss_cls: 1.2185, decode.d8.loss_mask: 0.8779, decode.d8.loss_dice: 1.2945, loss: 38.6933, grad_norm: 87.8014 2023-11-21 21:58:35,809 - mmseg - INFO - Iter [4250/160000] lr: 9.272e-06, eta: 1 day, 2:21:04, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 1.1518, decode.loss_mask: 0.8322, decode.loss_dice: 1.2003, decode.d0.loss_cls: 4.9123, decode.d0.loss_mask: 0.8645, decode.d0.loss_dice: 1.5349, decode.d1.loss_cls: 1.4249, decode.d1.loss_mask: 0.8616, decode.d1.loss_dice: 1.2960, decode.d2.loss_cls: 1.2486, decode.d2.loss_mask: 0.8453, decode.d2.loss_dice: 1.2442, decode.d3.loss_cls: 1.2002, decode.d3.loss_mask: 0.8344, decode.d3.loss_dice: 1.2202, decode.d4.loss_cls: 1.1853, decode.d4.loss_mask: 0.8282, decode.d4.loss_dice: 1.2125, decode.d5.loss_cls: 1.1705, decode.d5.loss_mask: 0.8262, decode.d5.loss_dice: 1.2041, decode.d6.loss_cls: 1.1606, decode.d6.loss_mask: 0.8305, decode.d6.loss_dice: 1.2032, decode.d7.loss_cls: 1.1543, decode.d7.loss_mask: 0.8329, decode.d7.loss_dice: 1.2059, decode.d8.loss_cls: 1.1511, decode.d8.loss_mask: 0.8360, decode.d8.loss_dice: 1.2088, loss: 36.6811, grad_norm: 86.1597 2023-11-21 21:59:04,116 - mmseg - INFO - Iter [4300/160000] lr: 9.269e-06, eta: 1 day, 2:19:16, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 1.1563, decode.loss_mask: 0.8490, decode.loss_dice: 1.2476, decode.d0.loss_cls: 4.8516, decode.d0.loss_mask: 0.8789, decode.d0.loss_dice: 1.5516, decode.d1.loss_cls: 1.4341, decode.d1.loss_mask: 0.8683, decode.d1.loss_dice: 1.3193, decode.d2.loss_cls: 1.2613, decode.d2.loss_mask: 0.8533, decode.d2.loss_dice: 1.2514, decode.d3.loss_cls: 1.2059, decode.d3.loss_mask: 0.8467, decode.d3.loss_dice: 1.2373, decode.d4.loss_cls: 1.1887, decode.d4.loss_mask: 0.8480, decode.d4.loss_dice: 1.2400, decode.d5.loss_cls: 1.1673, decode.d5.loss_mask: 0.8462, decode.d5.loss_dice: 1.2385, decode.d6.loss_cls: 1.1604, decode.d6.loss_mask: 0.8468, decode.d6.loss_dice: 1.2346, decode.d7.loss_cls: 1.1518, decode.d7.loss_mask: 0.8530, decode.d7.loss_dice: 1.2469, decode.d8.loss_cls: 1.1514, decode.d8.loss_mask: 0.8551, decode.d8.loss_dice: 1.2413, loss: 37.0825, grad_norm: 89.8125 2023-11-21 21:59:32,817 - mmseg - INFO - Iter [4350/160000] lr: 9.266e-06, eta: 1 day, 2:17:44, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 1.1367, decode.loss_mask: 0.8566, decode.loss_dice: 1.2276, decode.d0.loss_cls: 4.7274, decode.d0.loss_mask: 0.8782, decode.d0.loss_dice: 1.5238, decode.d1.loss_cls: 1.4292, decode.d1.loss_mask: 0.8699, decode.d1.loss_dice: 1.3100, decode.d2.loss_cls: 1.2531, decode.d2.loss_mask: 0.8495, decode.d2.loss_dice: 1.2504, decode.d3.loss_cls: 1.2032, decode.d3.loss_mask: 0.8471, decode.d3.loss_dice: 1.2222, decode.d4.loss_cls: 1.1871, decode.d4.loss_mask: 0.8478, decode.d4.loss_dice: 1.2244, decode.d5.loss_cls: 1.1603, decode.d5.loss_mask: 0.8463, decode.d5.loss_dice: 1.2319, decode.d6.loss_cls: 1.1503, decode.d6.loss_mask: 0.8476, decode.d6.loss_dice: 1.2288, decode.d7.loss_cls: 1.1350, decode.d7.loss_mask: 0.8549, decode.d7.loss_dice: 1.2373, decode.d8.loss_cls: 1.1377, decode.d8.loss_mask: 0.8535, decode.d8.loss_dice: 1.2284, loss: 36.7562, grad_norm: 91.4816 2023-11-21 22:00:01,228 - mmseg - INFO - Iter [4400/160000] lr: 9.263e-06, eta: 1 day, 2:16:03, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 1.1222, decode.loss_mask: 0.8870, decode.loss_dice: 1.2469, decode.d0.loss_cls: 4.6411, decode.d0.loss_mask: 0.9043, decode.d0.loss_dice: 1.5290, decode.d1.loss_cls: 1.4007, decode.d1.loss_mask: 0.8984, decode.d1.loss_dice: 1.3101, decode.d2.loss_cls: 1.2230, decode.d2.loss_mask: 0.8886, decode.d2.loss_dice: 1.2586, decode.d3.loss_cls: 1.1729, decode.d3.loss_mask: 0.8820, decode.d3.loss_dice: 1.2532, decode.d4.loss_cls: 1.1590, decode.d4.loss_mask: 0.8818, decode.d4.loss_dice: 1.2546, decode.d5.loss_cls: 1.1439, decode.d5.loss_mask: 0.8855, decode.d5.loss_dice: 1.2568, decode.d6.loss_cls: 1.1327, decode.d6.loss_mask: 0.8786, decode.d6.loss_dice: 1.2416, decode.d7.loss_cls: 1.1192, decode.d7.loss_mask: 0.8844, decode.d7.loss_dice: 1.2479, decode.d8.loss_cls: 1.1127, decode.d8.loss_mask: 0.8891, decode.d8.loss_dice: 1.2465, loss: 36.9524, grad_norm: 89.5272 2023-11-21 22:00:29,995 - mmseg - INFO - Iter [4450/160000] lr: 9.260e-06, eta: 1 day, 2:14:36, time: 0.575, data_time: 0.015, memory: 38143, decode.loss_cls: 1.1414, decode.loss_mask: 0.8210, decode.loss_dice: 1.2231, decode.d0.loss_cls: 4.6206, decode.d0.loss_mask: 0.8226, decode.d0.loss_dice: 1.5097, decode.d1.loss_cls: 1.4365, decode.d1.loss_mask: 0.8283, decode.d1.loss_dice: 1.3011, decode.d2.loss_cls: 1.2655, decode.d2.loss_mask: 0.8136, decode.d2.loss_dice: 1.2356, decode.d3.loss_cls: 1.2083, decode.d3.loss_mask: 0.8102, decode.d3.loss_dice: 1.2218, decode.d4.loss_cls: 1.1835, decode.d4.loss_mask: 0.8113, decode.d4.loss_dice: 1.2205, decode.d5.loss_cls: 1.1640, decode.d5.loss_mask: 0.8162, decode.d5.loss_dice: 1.2179, decode.d6.loss_cls: 1.1535, decode.d6.loss_mask: 0.8133, decode.d6.loss_dice: 1.2163, decode.d7.loss_cls: 1.1413, decode.d7.loss_mask: 0.8180, decode.d7.loss_dice: 1.2225, decode.d8.loss_cls: 1.1352, decode.d8.loss_mask: 0.8215, decode.d8.loss_dice: 1.2216, loss: 36.2159, grad_norm: 87.4838 2023-11-21 22:00:58,631 - mmseg - INFO - Iter [4500/160000] lr: 9.257e-06, eta: 1 day, 2:13:05, time: 0.573, data_time: 0.015, memory: 38143, decode.loss_cls: 1.1197, decode.loss_mask: 0.8331, decode.loss_dice: 1.2020, decode.d0.loss_cls: 4.4986, decode.d0.loss_mask: 0.8568, decode.d0.loss_dice: 1.5153, decode.d1.loss_cls: 1.4027, decode.d1.loss_mask: 0.8526, decode.d1.loss_dice: 1.3058, decode.d2.loss_cls: 1.2285, decode.d2.loss_mask: 0.8317, decode.d2.loss_dice: 1.2305, decode.d3.loss_cls: 1.1723, decode.d3.loss_mask: 0.8222, decode.d3.loss_dice: 1.2059, decode.d4.loss_cls: 1.1551, decode.d4.loss_mask: 0.8277, decode.d4.loss_dice: 1.2111, decode.d5.loss_cls: 1.1337, decode.d5.loss_mask: 0.8351, decode.d5.loss_dice: 1.2126, decode.d6.loss_cls: 1.1142, decode.d6.loss_mask: 0.8352, decode.d6.loss_dice: 1.2016, decode.d7.loss_cls: 1.1108, decode.d7.loss_mask: 0.8361, decode.d7.loss_dice: 1.2095, decode.d8.loss_cls: 1.1130, decode.d8.loss_mask: 0.8390, decode.d8.loss_dice: 1.2095, loss: 35.9222, grad_norm: 83.2581 2023-11-21 22:01:27,019 - mmseg - INFO - Iter [4550/160000] lr: 9.254e-06, eta: 1 day, 2:11:28, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 1.1501, decode.loss_mask: 0.8252, decode.loss_dice: 1.2527, decode.d0.loss_cls: 4.4778, decode.d0.loss_mask: 0.8392, decode.d0.loss_dice: 1.5466, decode.d1.loss_cls: 1.4634, decode.d1.loss_mask: 0.8354, decode.d1.loss_dice: 1.3185, decode.d2.loss_cls: 1.2721, decode.d2.loss_mask: 0.8161, decode.d2.loss_dice: 1.2632, decode.d3.loss_cls: 1.2215, decode.d3.loss_mask: 0.8120, decode.d3.loss_dice: 1.2351, decode.d4.loss_cls: 1.2021, decode.d4.loss_mask: 0.8169, decode.d4.loss_dice: 1.2500, decode.d5.loss_cls: 1.1729, decode.d5.loss_mask: 0.8178, decode.d5.loss_dice: 1.2425, decode.d6.loss_cls: 1.1715, decode.d6.loss_mask: 0.8193, decode.d6.loss_dice: 1.2416, decode.d7.loss_cls: 1.1628, decode.d7.loss_mask: 0.8211, decode.d7.loss_dice: 1.2555, decode.d8.loss_cls: 1.1558, decode.d8.loss_mask: 0.8249, decode.d8.loss_dice: 1.2521, loss: 36.5359, grad_norm: 86.2028 2023-11-21 22:01:55,457 - mmseg - INFO - Iter [4600/160000] lr: 9.251e-06, eta: 1 day, 2:09:54, time: 0.569, data_time: 0.015, memory: 38143, decode.loss_cls: 1.1185, decode.loss_mask: 0.8475, decode.loss_dice: 1.2266, decode.d0.loss_cls: 4.3788, decode.d0.loss_mask: 0.8570, decode.d0.loss_dice: 1.5335, decode.d1.loss_cls: 1.4145, decode.d1.loss_mask: 0.8620, decode.d1.loss_dice: 1.3156, decode.d2.loss_cls: 1.2276, decode.d2.loss_mask: 0.8404, decode.d2.loss_dice: 1.2509, decode.d3.loss_cls: 1.1720, decode.d3.loss_mask: 0.8371, decode.d3.loss_dice: 1.2308, decode.d4.loss_cls: 1.1593, decode.d4.loss_mask: 0.8399, decode.d4.loss_dice: 1.2314, decode.d5.loss_cls: 1.1371, decode.d5.loss_mask: 0.8343, decode.d5.loss_dice: 1.2419, decode.d6.loss_cls: 1.1293, decode.d6.loss_mask: 0.8381, decode.d6.loss_dice: 1.2378, decode.d7.loss_cls: 1.1179, decode.d7.loss_mask: 0.8463, decode.d7.loss_dice: 1.2363, decode.d8.loss_cls: 1.1191, decode.d8.loss_mask: 0.8520, decode.d8.loss_dice: 1.2328, loss: 36.1664, grad_norm: 84.1621 2023-11-21 22:02:23,973 - mmseg - INFO - Iter [4650/160000] lr: 9.248e-06, eta: 1 day, 2:08:24, time: 0.570, data_time: 0.015, memory: 38143, decode.loss_cls: 1.1247, decode.loss_mask: 0.8630, decode.loss_dice: 1.2589, decode.d0.loss_cls: 4.3050, decode.d0.loss_mask: 0.8769, decode.d0.loss_dice: 1.5466, decode.d1.loss_cls: 1.4085, decode.d1.loss_mask: 0.8906, decode.d1.loss_dice: 1.3316, decode.d2.loss_cls: 1.2180, decode.d2.loss_mask: 0.8701, decode.d2.loss_dice: 1.2640, decode.d3.loss_cls: 1.1756, decode.d3.loss_mask: 0.8618, decode.d3.loss_dice: 1.2501, decode.d4.loss_cls: 1.1577, decode.d4.loss_mask: 0.8681, decode.d4.loss_dice: 1.2625, decode.d5.loss_cls: 1.1469, decode.d5.loss_mask: 0.8639, decode.d5.loss_dice: 1.2499, decode.d6.loss_cls: 1.1317, decode.d6.loss_mask: 0.8635, decode.d6.loss_dice: 1.2468, decode.d7.loss_cls: 1.1309, decode.d7.loss_mask: 0.8701, decode.d7.loss_dice: 1.2555, decode.d8.loss_cls: 1.1254, decode.d8.loss_mask: 0.8766, decode.d8.loss_dice: 1.2624, loss: 36.5573, grad_norm: 86.0687 2023-11-21 22:02:52,626 - mmseg - INFO - Iter [4700/160000] lr: 9.245e-06, eta: 1 day, 2:06:59, time: 0.573, data_time: 0.015, memory: 38143, decode.loss_cls: 1.1555, decode.loss_mask: 0.8465, decode.loss_dice: 1.2399, decode.d0.loss_cls: 4.2645, decode.d0.loss_mask: 0.8526, decode.d0.loss_dice: 1.5472, decode.d1.loss_cls: 1.4416, decode.d1.loss_mask: 0.8547, decode.d1.loss_dice: 1.3219, decode.d2.loss_cls: 1.2442, decode.d2.loss_mask: 0.8453, decode.d2.loss_dice: 1.2662, decode.d3.loss_cls: 1.2006, decode.d3.loss_mask: 0.8377, decode.d3.loss_dice: 1.2399, decode.d4.loss_cls: 1.1907, decode.d4.loss_mask: 0.8463, decode.d4.loss_dice: 1.2421, decode.d5.loss_cls: 1.1662, decode.d5.loss_mask: 0.8486, decode.d5.loss_dice: 1.2433, decode.d6.loss_cls: 1.1505, decode.d6.loss_mask: 0.8470, decode.d6.loss_dice: 1.2391, decode.d7.loss_cls: 1.1539, decode.d7.loss_mask: 0.8443, decode.d7.loss_dice: 1.2455, decode.d8.loss_cls: 1.1519, decode.d8.loss_mask: 0.8467, decode.d8.loss_dice: 1.2473, loss: 36.4215, grad_norm: 85.2355 2023-11-21 22:03:21,415 - mmseg - INFO - Iter [4750/160000] lr: 9.242e-06, eta: 1 day, 2:05:41, time: 0.576, data_time: 0.015, memory: 38143, decode.loss_cls: 1.1126, decode.loss_mask: 0.8359, decode.loss_dice: 1.2513, decode.d0.loss_cls: 4.1524, decode.d0.loss_mask: 0.8480, decode.d0.loss_dice: 1.5486, decode.d1.loss_cls: 1.3985, decode.d1.loss_mask: 0.8579, decode.d1.loss_dice: 1.3197, decode.d2.loss_cls: 1.2224, decode.d2.loss_mask: 0.8408, decode.d2.loss_dice: 1.2705, decode.d3.loss_cls: 1.1695, decode.d3.loss_mask: 0.8332, decode.d3.loss_dice: 1.2542, decode.d4.loss_cls: 1.1475, decode.d4.loss_mask: 0.8323, decode.d4.loss_dice: 1.2557, decode.d5.loss_cls: 1.1399, decode.d5.loss_mask: 0.8300, decode.d5.loss_dice: 1.2414, decode.d6.loss_cls: 1.1225, decode.d6.loss_mask: 0.8240, decode.d6.loss_dice: 1.2377, decode.d7.loss_cls: 1.1100, decode.d7.loss_mask: 0.8372, decode.d7.loss_dice: 1.2537, decode.d8.loss_cls: 1.1114, decode.d8.loss_mask: 0.8366, decode.d8.loss_dice: 1.2617, loss: 35.9570, grad_norm: 86.8425 2023-11-21 22:03:50,212 - mmseg - INFO - Iter [4800/160000] lr: 9.239e-06, eta: 1 day, 2:04:23, time: 0.576, data_time: 0.015, memory: 38143, decode.loss_cls: 1.0942, decode.loss_mask: 0.8312, decode.loss_dice: 1.2738, decode.d0.loss_cls: 4.1130, decode.d0.loss_mask: 0.8436, decode.d0.loss_dice: 1.5693, decode.d1.loss_cls: 1.4003, decode.d1.loss_mask: 0.8508, decode.d1.loss_dice: 1.3602, decode.d2.loss_cls: 1.2139, decode.d2.loss_mask: 0.8286, decode.d2.loss_dice: 1.3008, decode.d3.loss_cls: 1.1640, decode.d3.loss_mask: 0.8226, decode.d3.loss_dice: 1.2707, decode.d4.loss_cls: 1.1405, decode.d4.loss_mask: 0.8243, decode.d4.loss_dice: 1.2708, decode.d5.loss_cls: 1.1330, decode.d5.loss_mask: 0.8256, decode.d5.loss_dice: 1.2683, decode.d6.loss_cls: 1.1213, decode.d6.loss_mask: 0.8298, decode.d6.loss_dice: 1.2638, decode.d7.loss_cls: 1.1038, decode.d7.loss_mask: 0.8340, decode.d7.loss_dice: 1.2725, decode.d8.loss_cls: 1.1048, decode.d8.loss_mask: 0.8342, decode.d8.loss_dice: 1.2776, loss: 36.0412, grad_norm: 86.0458 2023-11-21 22:04:18,628 - mmseg - INFO - Iter [4850/160000] lr: 9.236e-06, eta: 1 day, 2:02:55, time: 0.568, data_time: 0.015, memory: 38143, decode.loss_cls: 1.1183, decode.loss_mask: 0.8522, decode.loss_dice: 1.2450, decode.d0.loss_cls: 4.0679, decode.d0.loss_mask: 0.8707, decode.d0.loss_dice: 1.5540, decode.d1.loss_cls: 1.4195, decode.d1.loss_mask: 0.8798, decode.d1.loss_dice: 1.3332, decode.d2.loss_cls: 1.2240, decode.d2.loss_mask: 0.8610, decode.d2.loss_dice: 1.2706, decode.d3.loss_cls: 1.1781, decode.d3.loss_mask: 0.8456, decode.d3.loss_dice: 1.2536, decode.d4.loss_cls: 1.1501, decode.d4.loss_mask: 0.8518, decode.d4.loss_dice: 1.2568, decode.d5.loss_cls: 1.1459, decode.d5.loss_mask: 0.8483, decode.d5.loss_dice: 1.2435, decode.d6.loss_cls: 1.1291, decode.d6.loss_mask: 0.8516, decode.d6.loss_dice: 1.2394, decode.d7.loss_cls: 1.1197, decode.d7.loss_mask: 0.8554, decode.d7.loss_dice: 1.2388, decode.d8.loss_cls: 1.1179, decode.d8.loss_mask: 0.8587, decode.d8.loss_dice: 1.2420, loss: 36.1227, grad_norm: 85.2279 2023-11-21 22:04:47,002 - mmseg - INFO - Iter [4900/160000] lr: 9.233e-06, eta: 1 day, 2:01:26, time: 0.567, data_time: 0.015, memory: 38143, decode.loss_cls: 1.1081, decode.loss_mask: 0.8384, decode.loss_dice: 1.2223, decode.d0.loss_cls: 3.9815, decode.d0.loss_mask: 0.8562, decode.d0.loss_dice: 1.5237, decode.d1.loss_cls: 1.4054, decode.d1.loss_mask: 0.8453, decode.d1.loss_dice: 1.2914, decode.d2.loss_cls: 1.2230, decode.d2.loss_mask: 0.8316, decode.d2.loss_dice: 1.2416, decode.d3.loss_cls: 1.1701, decode.d3.loss_mask: 0.8320, decode.d3.loss_dice: 1.2186, decode.d4.loss_cls: 1.1455, decode.d4.loss_mask: 0.8315, decode.d4.loss_dice: 1.2177, decode.d5.loss_cls: 1.1306, decode.d5.loss_mask: 0.8378, decode.d5.loss_dice: 1.2091, decode.d6.loss_cls: 1.1168, decode.d6.loss_mask: 0.8368, decode.d6.loss_dice: 1.2138, decode.d7.loss_cls: 1.1117, decode.d7.loss_mask: 0.8390, decode.d7.loss_dice: 1.2198, decode.d8.loss_cls: 1.1047, decode.d8.loss_mask: 0.8364, decode.d8.loss_dice: 1.2188, loss: 35.4590, grad_norm: 89.5456 2023-11-21 22:05:15,505 - mmseg - INFO - Iter [4950/160000] lr: 9.230e-06, eta: 1 day, 2:00:03, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 1.0893, decode.loss_mask: 0.8100, decode.loss_dice: 1.2184, decode.d0.loss_cls: 3.9140, decode.d0.loss_mask: 0.8292, decode.d0.loss_dice: 1.5099, decode.d1.loss_cls: 1.3947, decode.d1.loss_mask: 0.8298, decode.d1.loss_dice: 1.3037, decode.d2.loss_cls: 1.2002, decode.d2.loss_mask: 0.8205, decode.d2.loss_dice: 1.2505, decode.d3.loss_cls: 1.1454, decode.d3.loss_mask: 0.8067, decode.d3.loss_dice: 1.2238, decode.d4.loss_cls: 1.1248, decode.d4.loss_mask: 0.8093, decode.d4.loss_dice: 1.2273, decode.d5.loss_cls: 1.1192, decode.d5.loss_mask: 0.8081, decode.d5.loss_dice: 1.2250, decode.d6.loss_cls: 1.1104, decode.d6.loss_mask: 0.8102, decode.d6.loss_dice: 1.2204, decode.d7.loss_cls: 1.0969, decode.d7.loss_mask: 0.8098, decode.d7.loss_dice: 1.2212, decode.d8.loss_cls: 1.0879, decode.d8.loss_mask: 0.8190, decode.d8.loss_dice: 1.2338, loss: 35.0694, grad_norm: 86.1500 2023-11-21 22:05:43,920 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-21 22:05:43,920 - mmseg - INFO - Iter [5000/160000] lr: 9.227e-06, eta: 1 day, 1:58:38, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 1.0953, decode.loss_mask: 0.8470, decode.loss_dice: 1.2320, decode.d0.loss_cls: 3.8471, decode.d0.loss_mask: 0.8597, decode.d0.loss_dice: 1.5185, decode.d1.loss_cls: 1.3710, decode.d1.loss_mask: 0.8661, decode.d1.loss_dice: 1.3088, decode.d2.loss_cls: 1.2001, decode.d2.loss_mask: 0.8449, decode.d2.loss_dice: 1.2586, decode.d3.loss_cls: 1.1469, decode.d3.loss_mask: 0.8340, decode.d3.loss_dice: 1.2381, decode.d4.loss_cls: 1.1336, decode.d4.loss_mask: 0.8357, decode.d4.loss_dice: 1.2408, decode.d5.loss_cls: 1.1221, decode.d5.loss_mask: 0.8407, decode.d5.loss_dice: 1.2364, decode.d6.loss_cls: 1.1004, decode.d6.loss_mask: 0.8476, decode.d6.loss_dice: 1.2331, decode.d7.loss_cls: 1.0991, decode.d7.loss_mask: 0.8409, decode.d7.loss_dice: 1.2334, decode.d8.loss_cls: 1.0983, decode.d8.loss_mask: 0.8448, decode.d8.loss_dice: 1.2395, loss: 35.4144, grad_norm: 84.1091 2023-11-21 22:06:12,490 - mmseg - INFO - Iter [5050/160000] lr: 9.224e-06, eta: 1 day, 1:57:18, time: 0.571, data_time: 0.015, memory: 38143, decode.loss_cls: 1.0920, decode.loss_mask: 0.8303, decode.loss_dice: 1.2147, decode.d0.loss_cls: 3.7889, decode.d0.loss_mask: 0.8470, decode.d0.loss_dice: 1.5021, decode.d1.loss_cls: 1.3615, decode.d1.loss_mask: 0.8510, decode.d1.loss_dice: 1.3024, decode.d2.loss_cls: 1.1794, decode.d2.loss_mask: 0.8402, decode.d2.loss_dice: 1.2395, decode.d3.loss_cls: 1.1329, decode.d3.loss_mask: 0.8345, decode.d3.loss_dice: 1.2163, decode.d4.loss_cls: 1.1131, decode.d4.loss_mask: 0.8310, decode.d4.loss_dice: 1.2173, decode.d5.loss_cls: 1.0969, decode.d5.loss_mask: 0.8344, decode.d5.loss_dice: 1.2241, decode.d6.loss_cls: 1.0963, decode.d6.loss_mask: 0.8328, decode.d6.loss_dice: 1.2084, decode.d7.loss_cls: 1.0840, decode.d7.loss_mask: 0.8403, decode.d7.loss_dice: 1.2168, decode.d8.loss_cls: 1.0881, decode.d8.loss_mask: 0.8344, decode.d8.loss_dice: 1.2152, loss: 34.9658, grad_norm: 88.7236 2023-11-21 22:06:43,328 - mmseg - INFO - Iter [5100/160000] lr: 9.221e-06, eta: 1 day, 1:57:09, time: 0.617, data_time: 0.060, memory: 38143, decode.loss_cls: 1.0392, decode.loss_mask: 0.8371, decode.loss_dice: 1.1992, decode.d0.loss_cls: 3.7265, decode.d0.loss_mask: 0.8531, decode.d0.loss_dice: 1.4946, decode.d1.loss_cls: 1.3448, decode.d1.loss_mask: 0.8581, decode.d1.loss_dice: 1.2772, decode.d2.loss_cls: 1.1546, decode.d2.loss_mask: 0.8365, decode.d2.loss_dice: 1.2276, decode.d3.loss_cls: 1.1026, decode.d3.loss_mask: 0.8348, decode.d3.loss_dice: 1.2079, decode.d4.loss_cls: 1.0828, decode.d4.loss_mask: 0.8317, decode.d4.loss_dice: 1.2106, decode.d5.loss_cls: 1.0620, decode.d5.loss_mask: 0.8332, decode.d5.loss_dice: 1.2019, decode.d6.loss_cls: 1.0490, decode.d6.loss_mask: 0.8392, decode.d6.loss_dice: 1.1955, decode.d7.loss_cls: 1.0472, decode.d7.loss_mask: 0.8349, decode.d7.loss_dice: 1.2007, decode.d8.loss_cls: 1.0416, decode.d8.loss_mask: 0.8372, decode.d8.loss_dice: 1.2074, loss: 34.4686, grad_norm: 83.0936 2023-11-21 22:07:11,757 - mmseg - INFO - Iter [5150/160000] lr: 9.218e-06, eta: 1 day, 1:55:47, time: 0.569, data_time: 0.015, memory: 38143, decode.loss_cls: 1.1010, decode.loss_mask: 0.7993, decode.loss_dice: 1.2017, decode.d0.loss_cls: 3.7026, decode.d0.loss_mask: 0.8095, decode.d0.loss_dice: 1.5194, decode.d1.loss_cls: 1.3920, decode.d1.loss_mask: 0.8151, decode.d1.loss_dice: 1.2938, decode.d2.loss_cls: 1.2051, decode.d2.loss_mask: 0.7910, decode.d2.loss_dice: 1.2308, decode.d3.loss_cls: 1.1588, decode.d3.loss_mask: 0.7955, decode.d3.loss_dice: 1.2100, decode.d4.loss_cls: 1.1359, decode.d4.loss_mask: 0.7933, decode.d4.loss_dice: 1.2060, decode.d5.loss_cls: 1.1247, decode.d5.loss_mask: 0.7904, decode.d5.loss_dice: 1.2057, decode.d6.loss_cls: 1.1110, decode.d6.loss_mask: 0.7888, decode.d6.loss_dice: 1.1985, decode.d7.loss_cls: 1.1102, decode.d7.loss_mask: 0.7906, decode.d7.loss_dice: 1.2028, decode.d8.loss_cls: 1.1040, decode.d8.loss_mask: 0.7991, decode.d8.loss_dice: 1.2046, loss: 34.5911, grad_norm: 83.3029 2023-11-21 22:07:40,092 - mmseg - INFO - Iter [5200/160000] lr: 9.215e-06, eta: 1 day, 1:54:23, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 1.0519, decode.loss_mask: 0.8313, decode.loss_dice: 1.2074, decode.d0.loss_cls: 3.5960, decode.d0.loss_mask: 0.8510, decode.d0.loss_dice: 1.4659, decode.d1.loss_cls: 1.3159, decode.d1.loss_mask: 0.8466, decode.d1.loss_dice: 1.2690, decode.d2.loss_cls: 1.1354, decode.d2.loss_mask: 0.8275, decode.d2.loss_dice: 1.2153, decode.d3.loss_cls: 1.0902, decode.d3.loss_mask: 0.8183, decode.d3.loss_dice: 1.1851, decode.d4.loss_cls: 1.0729, decode.d4.loss_mask: 0.8192, decode.d4.loss_dice: 1.1834, decode.d5.loss_cls: 1.0602, decode.d5.loss_mask: 0.8258, decode.d5.loss_dice: 1.1891, decode.d6.loss_cls: 1.0514, decode.d6.loss_mask: 0.8311, decode.d6.loss_dice: 1.1855, decode.d7.loss_cls: 1.0479, decode.d7.loss_mask: 0.8279, decode.d7.loss_dice: 1.1962, decode.d8.loss_cls: 1.0421, decode.d8.loss_mask: 0.8315, decode.d8.loss_dice: 1.2019, loss: 34.0727, grad_norm: 83.4838 2023-11-21 22:08:08,457 - mmseg - INFO - Iter [5250/160000] lr: 9.212e-06, eta: 1 day, 1:53:01, time: 0.567, data_time: 0.015, memory: 38143, decode.loss_cls: 1.1011, decode.loss_mask: 0.8247, decode.loss_dice: 1.2416, decode.d0.loss_cls: 3.6198, decode.d0.loss_mask: 0.8276, decode.d0.loss_dice: 1.5339, decode.d1.loss_cls: 1.3718, decode.d1.loss_mask: 0.8376, decode.d1.loss_dice: 1.3309, decode.d2.loss_cls: 1.2008, decode.d2.loss_mask: 0.8172, decode.d2.loss_dice: 1.2681, decode.d3.loss_cls: 1.1554, decode.d3.loss_mask: 0.8144, decode.d3.loss_dice: 1.2482, decode.d4.loss_cls: 1.1368, decode.d4.loss_mask: 0.8146, decode.d4.loss_dice: 1.2539, decode.d5.loss_cls: 1.1137, decode.d5.loss_mask: 0.8187, decode.d5.loss_dice: 1.2446, decode.d6.loss_cls: 1.1047, decode.d6.loss_mask: 0.8203, decode.d6.loss_dice: 1.2441, decode.d7.loss_cls: 1.0965, decode.d7.loss_mask: 0.8176, decode.d7.loss_dice: 1.2478, decode.d8.loss_cls: 1.0955, decode.d8.loss_mask: 0.8117, decode.d8.loss_dice: 1.2391, loss: 35.0529, grad_norm: 84.7234 2023-11-21 22:08:37,024 - mmseg - INFO - Iter [5300/160000] lr: 9.209e-06, eta: 1 day, 1:51:46, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 1.0208, decode.loss_mask: 0.8131, decode.loss_dice: 1.1806, decode.d0.loss_cls: 3.5340, decode.d0.loss_mask: 0.8262, decode.d0.loss_dice: 1.4519, decode.d1.loss_cls: 1.2831, decode.d1.loss_mask: 0.8391, decode.d1.loss_dice: 1.2546, decode.d2.loss_cls: 1.1162, decode.d2.loss_mask: 0.8154, decode.d2.loss_dice: 1.2127, decode.d3.loss_cls: 1.0632, decode.d3.loss_mask: 0.8128, decode.d3.loss_dice: 1.1795, decode.d4.loss_cls: 1.0414, decode.d4.loss_mask: 0.8085, decode.d4.loss_dice: 1.1837, decode.d5.loss_cls: 1.0280, decode.d5.loss_mask: 0.8125, decode.d5.loss_dice: 1.1865, decode.d6.loss_cls: 1.0205, decode.d6.loss_mask: 0.8105, decode.d6.loss_dice: 1.1816, decode.d7.loss_cls: 1.0137, decode.d7.loss_mask: 0.8104, decode.d7.loss_dice: 1.1757, decode.d8.loss_cls: 1.0109, decode.d8.loss_mask: 0.8150, decode.d8.loss_dice: 1.1832, loss: 33.4854, grad_norm: 88.8807 2023-11-21 22:09:05,972 - mmseg - INFO - Iter [5350/160000] lr: 9.206e-06, eta: 1 day, 1:50:43, time: 0.579, data_time: 0.015, memory: 38143, decode.loss_cls: 1.0542, decode.loss_mask: 0.8367, decode.loss_dice: 1.1996, decode.d0.loss_cls: 3.5293, decode.d0.loss_mask: 0.8557, decode.d0.loss_dice: 1.5040, decode.d1.loss_cls: 1.3554, decode.d1.loss_mask: 0.8566, decode.d1.loss_dice: 1.2917, decode.d2.loss_cls: 1.1574, decode.d2.loss_mask: 0.8388, decode.d2.loss_dice: 1.2310, decode.d3.loss_cls: 1.1067, decode.d3.loss_mask: 0.8305, decode.d3.loss_dice: 1.2034, decode.d4.loss_cls: 1.0814, decode.d4.loss_mask: 0.8356, decode.d4.loss_dice: 1.2073, decode.d5.loss_cls: 1.0628, decode.d5.loss_mask: 0.8327, decode.d5.loss_dice: 1.2048, decode.d6.loss_cls: 1.0602, decode.d6.loss_mask: 0.8340, decode.d6.loss_dice: 1.1904, decode.d7.loss_cls: 1.0579, decode.d7.loss_mask: 0.8337, decode.d7.loss_dice: 1.2024, decode.d8.loss_cls: 1.0441, decode.d8.loss_mask: 0.8404, decode.d8.loss_dice: 1.1976, loss: 34.3363, grad_norm: 82.5739 2023-11-21 22:09:34,644 - mmseg - INFO - Iter [5400/160000] lr: 9.203e-06, eta: 1 day, 1:49:32, time: 0.574, data_time: 0.016, memory: 38143, decode.loss_cls: 1.0159, decode.loss_mask: 0.8090, decode.loss_dice: 1.2022, decode.d0.loss_cls: 3.4913, decode.d0.loss_mask: 0.8262, decode.d0.loss_dice: 1.4852, decode.d1.loss_cls: 1.2964, decode.d1.loss_mask: 0.8262, decode.d1.loss_dice: 1.2754, decode.d2.loss_cls: 1.1228, decode.d2.loss_mask: 0.8102, decode.d2.loss_dice: 1.2155, decode.d3.loss_cls: 1.0722, decode.d3.loss_mask: 0.8028, decode.d3.loss_dice: 1.1928, decode.d4.loss_cls: 1.0548, decode.d4.loss_mask: 0.7997, decode.d4.loss_dice: 1.2064, decode.d5.loss_cls: 1.0438, decode.d5.loss_mask: 0.8042, decode.d5.loss_dice: 1.2056, decode.d6.loss_cls: 1.0266, decode.d6.loss_mask: 0.8074, decode.d6.loss_dice: 1.1990, decode.d7.loss_cls: 1.0130, decode.d7.loss_mask: 0.8068, decode.d7.loss_dice: 1.1959, decode.d8.loss_cls: 1.0137, decode.d8.loss_mask: 0.8074, decode.d8.loss_dice: 1.2006, loss: 33.6292, grad_norm: 86.3582 2023-11-21 22:10:03,035 - mmseg - INFO - Iter [5450/160000] lr: 9.200e-06, eta: 1 day, 1:48:15, time: 0.568, data_time: 0.015, memory: 38143, decode.loss_cls: 1.0616, decode.loss_mask: 0.8168, decode.loss_dice: 1.2218, decode.d0.loss_cls: 3.4472, decode.d0.loss_mask: 0.8415, decode.d0.loss_dice: 1.5018, decode.d1.loss_cls: 1.3542, decode.d1.loss_mask: 0.8459, decode.d1.loss_dice: 1.2997, decode.d2.loss_cls: 1.1617, decode.d2.loss_mask: 0.8237, decode.d2.loss_dice: 1.2447, decode.d3.loss_cls: 1.1175, decode.d3.loss_mask: 0.8174, decode.d3.loss_dice: 1.2182, decode.d4.loss_cls: 1.0994, decode.d4.loss_mask: 0.8258, decode.d4.loss_dice: 1.2232, decode.d5.loss_cls: 1.0808, decode.d5.loss_mask: 0.8171, decode.d5.loss_dice: 1.2199, decode.d6.loss_cls: 1.0658, decode.d6.loss_mask: 0.8185, decode.d6.loss_dice: 1.2161, decode.d7.loss_cls: 1.0590, decode.d7.loss_mask: 0.8202, decode.d7.loss_dice: 1.2252, decode.d8.loss_cls: 1.0611, decode.d8.loss_mask: 0.8237, decode.d8.loss_dice: 1.2225, loss: 34.3523, grad_norm: 82.4394 2023-11-21 22:10:31,442 - mmseg - INFO - Iter [5500/160000] lr: 9.197e-06, eta: 1 day, 1:46:58, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 1.0352, decode.loss_mask: 0.8386, decode.loss_dice: 1.2008, decode.d0.loss_cls: 3.3836, decode.d0.loss_mask: 0.8489, decode.d0.loss_dice: 1.4802, decode.d1.loss_cls: 1.3156, decode.d1.loss_mask: 0.8594, decode.d1.loss_dice: 1.2729, decode.d2.loss_cls: 1.1318, decode.d2.loss_mask: 0.8472, decode.d2.loss_dice: 1.2244, decode.d3.loss_cls: 1.0905, decode.d3.loss_mask: 0.8333, decode.d3.loss_dice: 1.2019, decode.d4.loss_cls: 1.0632, decode.d4.loss_mask: 0.8388, decode.d4.loss_dice: 1.2145, decode.d5.loss_cls: 1.0531, decode.d5.loss_mask: 0.8333, decode.d5.loss_dice: 1.2100, decode.d6.loss_cls: 1.0382, decode.d6.loss_mask: 0.8352, decode.d6.loss_dice: 1.2029, decode.d7.loss_cls: 1.0376, decode.d7.loss_mask: 0.8377, decode.d7.loss_dice: 1.2058, decode.d8.loss_cls: 1.0454, decode.d8.loss_mask: 0.8372, decode.d8.loss_dice: 1.1980, loss: 34.0154, grad_norm: 83.0570 2023-11-21 22:10:59,691 - mmseg - INFO - Iter [5550/160000] lr: 9.195e-06, eta: 1 day, 1:45:38, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 1.0502, decode.loss_mask: 0.8277, decode.loss_dice: 1.1999, decode.d0.loss_cls: 3.3569, decode.d0.loss_mask: 0.8421, decode.d0.loss_dice: 1.4649, decode.d1.loss_cls: 1.3160, decode.d1.loss_mask: 0.8443, decode.d1.loss_dice: 1.2797, decode.d2.loss_cls: 1.1390, decode.d2.loss_mask: 0.8274, decode.d2.loss_dice: 1.2104, decode.d3.loss_cls: 1.0958, decode.d3.loss_mask: 0.8228, decode.d3.loss_dice: 1.1937, decode.d4.loss_cls: 1.0691, decode.d4.loss_mask: 0.8258, decode.d4.loss_dice: 1.2027, decode.d5.loss_cls: 1.0542, decode.d5.loss_mask: 0.8189, decode.d5.loss_dice: 1.2081, decode.d6.loss_cls: 1.0448, decode.d6.loss_mask: 0.8207, decode.d6.loss_dice: 1.2006, decode.d7.loss_cls: 1.0415, decode.d7.loss_mask: 0.8228, decode.d7.loss_dice: 1.2064, decode.d8.loss_cls: 1.0415, decode.d8.loss_mask: 0.8266, decode.d8.loss_dice: 1.1973, loss: 33.8517, grad_norm: 82.6858 2023-11-21 22:11:28,218 - mmseg - INFO - Iter [5600/160000] lr: 9.192e-06, eta: 1 day, 1:44:27, time: 0.570, data_time: 0.015, memory: 38143, decode.loss_cls: 1.0478, decode.loss_mask: 0.7906, decode.loss_dice: 1.2022, decode.d0.loss_cls: 3.3341, decode.d0.loss_mask: 0.8151, decode.d0.loss_dice: 1.4645, decode.d1.loss_cls: 1.3148, decode.d1.loss_mask: 0.8233, decode.d1.loss_dice: 1.2897, decode.d2.loss_cls: 1.1398, decode.d2.loss_mask: 0.8029, decode.d2.loss_dice: 1.2323, decode.d3.loss_cls: 1.0943, decode.d3.loss_mask: 0.7948, decode.d3.loss_dice: 1.2063, decode.d4.loss_cls: 1.0814, decode.d4.loss_mask: 0.7948, decode.d4.loss_dice: 1.2178, decode.d5.loss_cls: 1.0640, decode.d5.loss_mask: 0.7967, decode.d5.loss_dice: 1.2062, decode.d6.loss_cls: 1.0484, decode.d6.loss_mask: 0.8003, decode.d6.loss_dice: 1.1982, decode.d7.loss_cls: 1.0307, decode.d7.loss_mask: 0.7987, decode.d7.loss_dice: 1.2137, decode.d8.loss_cls: 1.0352, decode.d8.loss_mask: 0.7968, decode.d8.loss_dice: 1.2046, loss: 33.6402, grad_norm: 82.4841 2023-11-21 22:11:56,828 - mmseg - INFO - Iter [5650/160000] lr: 9.189e-06, eta: 1 day, 1:43:19, time: 0.572, data_time: 0.015, memory: 38143, decode.loss_cls: 1.0132, decode.loss_mask: 0.8304, decode.loss_dice: 1.1882, decode.d0.loss_cls: 3.2499, decode.d0.loss_mask: 0.8635, decode.d0.loss_dice: 1.4463, decode.d1.loss_cls: 1.2874, decode.d1.loss_mask: 0.8541, decode.d1.loss_dice: 1.2580, decode.d2.loss_cls: 1.1037, decode.d2.loss_mask: 0.8386, decode.d2.loss_dice: 1.1992, decode.d3.loss_cls: 1.0589, decode.d3.loss_mask: 0.8321, decode.d3.loss_dice: 1.1861, decode.d4.loss_cls: 1.0407, decode.d4.loss_mask: 0.8331, decode.d4.loss_dice: 1.1900, decode.d5.loss_cls: 1.0255, decode.d5.loss_mask: 0.8364, decode.d5.loss_dice: 1.1815, decode.d6.loss_cls: 1.0203, decode.d6.loss_mask: 0.8347, decode.d6.loss_dice: 1.1774, decode.d7.loss_cls: 1.0052, decode.d7.loss_mask: 0.8409, decode.d7.loss_dice: 1.1853, decode.d8.loss_cls: 1.0052, decode.d8.loss_mask: 0.8373, decode.d8.loss_dice: 1.1809, loss: 33.4041, grad_norm: 88.8043 2023-11-21 22:12:25,101 - mmseg - INFO - Iter [5700/160000] lr: 9.186e-06, eta: 1 day, 1:42:02, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 1.0250, decode.loss_mask: 0.8395, decode.loss_dice: 1.1997, decode.d0.loss_cls: 3.2703, decode.d0.loss_mask: 0.8443, decode.d0.loss_dice: 1.4786, decode.d1.loss_cls: 1.3155, decode.d1.loss_mask: 0.8488, decode.d1.loss_dice: 1.2814, decode.d2.loss_cls: 1.1267, decode.d2.loss_mask: 0.8412, decode.d2.loss_dice: 1.2277, decode.d3.loss_cls: 1.0716, decode.d3.loss_mask: 0.8354, decode.d3.loss_dice: 1.2029, decode.d4.loss_cls: 1.0572, decode.d4.loss_mask: 0.8385, decode.d4.loss_dice: 1.2149, decode.d5.loss_cls: 1.0466, decode.d5.loss_mask: 0.8382, decode.d5.loss_dice: 1.2140, decode.d6.loss_cls: 1.0314, decode.d6.loss_mask: 0.8364, decode.d6.loss_dice: 1.2012, decode.d7.loss_cls: 1.0216, decode.d7.loss_mask: 0.8409, decode.d7.loss_dice: 1.2113, decode.d8.loss_cls: 1.0208, decode.d8.loss_mask: 0.8411, decode.d8.loss_dice: 1.2010, loss: 33.8237, grad_norm: 80.7933 2023-11-21 22:12:53,507 - mmseg - INFO - Iter [5750/160000] lr: 9.183e-06, eta: 1 day, 1:40:50, time: 0.568, data_time: 0.015, memory: 38143, decode.loss_cls: 1.0393, decode.loss_mask: 0.7768, decode.loss_dice: 1.2090, decode.d0.loss_cls: 3.2485, decode.d0.loss_mask: 0.8039, decode.d0.loss_dice: 1.4834, decode.d1.loss_cls: 1.3119, decode.d1.loss_mask: 0.8091, decode.d1.loss_dice: 1.2989, decode.d2.loss_cls: 1.1406, decode.d2.loss_mask: 0.7895, decode.d2.loss_dice: 1.2312, decode.d3.loss_cls: 1.1010, decode.d3.loss_mask: 0.7812, decode.d3.loss_dice: 1.2144, decode.d4.loss_cls: 1.0783, decode.d4.loss_mask: 0.7778, decode.d4.loss_dice: 1.2243, decode.d5.loss_cls: 1.0676, decode.d5.loss_mask: 0.7811, decode.d5.loss_dice: 1.2155, decode.d6.loss_cls: 1.0583, decode.d6.loss_mask: 0.7801, decode.d6.loss_dice: 1.2063, decode.d7.loss_cls: 1.0459, decode.d7.loss_mask: 0.7797, decode.d7.loss_dice: 1.2172, decode.d8.loss_cls: 1.0388, decode.d8.loss_mask: 0.7824, decode.d8.loss_dice: 1.2092, loss: 33.5013, grad_norm: 82.0637 2023-11-21 22:13:21,786 - mmseg - INFO - Iter [5800/160000] lr: 9.180e-06, eta: 1 day, 1:39:35, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 1.0324, decode.loss_mask: 0.8184, decode.loss_dice: 1.1909, decode.d0.loss_cls: 3.2180, decode.d0.loss_mask: 0.8267, decode.d0.loss_dice: 1.4683, decode.d1.loss_cls: 1.3108, decode.d1.loss_mask: 0.8361, decode.d1.loss_dice: 1.2739, decode.d2.loss_cls: 1.1292, decode.d2.loss_mask: 0.8204, decode.d2.loss_dice: 1.2208, decode.d3.loss_cls: 1.0819, decode.d3.loss_mask: 0.8167, decode.d3.loss_dice: 1.1880, decode.d4.loss_cls: 1.0683, decode.d4.loss_mask: 0.8218, decode.d4.loss_dice: 1.1959, decode.d5.loss_cls: 1.0594, decode.d5.loss_mask: 0.8201, decode.d5.loss_dice: 1.1847, decode.d6.loss_cls: 1.0507, decode.d6.loss_mask: 0.8134, decode.d6.loss_dice: 1.1815, decode.d7.loss_cls: 1.0353, decode.d7.loss_mask: 0.8185, decode.d7.loss_dice: 1.1860, decode.d8.loss_cls: 1.0276, decode.d8.loss_mask: 0.8120, decode.d8.loss_dice: 1.1931, loss: 33.5009, grad_norm: 83.4500 2023-11-21 22:13:50,110 - mmseg - INFO - Iter [5850/160000] lr: 9.177e-06, eta: 1 day, 1:38:22, time: 0.566, data_time: 0.015, memory: 38143, decode.loss_cls: 1.0493, decode.loss_mask: 0.8245, decode.loss_dice: 1.2103, decode.d0.loss_cls: 3.2044, decode.d0.loss_mask: 0.8331, decode.d0.loss_dice: 1.5036, decode.d1.loss_cls: 1.3380, decode.d1.loss_mask: 0.8396, decode.d1.loss_dice: 1.2957, decode.d2.loss_cls: 1.1629, decode.d2.loss_mask: 0.8315, decode.d2.loss_dice: 1.2370, decode.d3.loss_cls: 1.1080, decode.d3.loss_mask: 0.8179, decode.d3.loss_dice: 1.2130, decode.d4.loss_cls: 1.0988, decode.d4.loss_mask: 0.8150, decode.d4.loss_dice: 1.2175, decode.d5.loss_cls: 1.0727, decode.d5.loss_mask: 0.8261, decode.d5.loss_dice: 1.2136, decode.d6.loss_cls: 1.0618, decode.d6.loss_mask: 0.8229, decode.d6.loss_dice: 1.2111, decode.d7.loss_cls: 1.0580, decode.d7.loss_mask: 0.8239, decode.d7.loss_dice: 1.2113, decode.d8.loss_cls: 1.0535, decode.d8.loss_mask: 0.8269, decode.d8.loss_dice: 1.2133, loss: 33.9953, grad_norm: 86.9451 2023-11-21 22:14:18,586 - mmseg - INFO - Iter [5900/160000] lr: 9.174e-06, eta: 1 day, 1:37:14, time: 0.570, data_time: 0.015, memory: 38143, decode.loss_cls: 1.0143, decode.loss_mask: 0.8366, decode.loss_dice: 1.1928, decode.d0.loss_cls: 3.1350, decode.d0.loss_mask: 0.8439, decode.d0.loss_dice: 1.4549, decode.d1.loss_cls: 1.3018, decode.d1.loss_mask: 0.8566, decode.d1.loss_dice: 1.2647, decode.d2.loss_cls: 1.1169, decode.d2.loss_mask: 0.8409, decode.d2.loss_dice: 1.2101, decode.d3.loss_cls: 1.0700, decode.d3.loss_mask: 0.8347, decode.d3.loss_dice: 1.1916, decode.d4.loss_cls: 1.0524, decode.d4.loss_mask: 0.8290, decode.d4.loss_dice: 1.1929, decode.d5.loss_cls: 1.0339, decode.d5.loss_mask: 0.8321, decode.d5.loss_dice: 1.1975, decode.d6.loss_cls: 1.0237, decode.d6.loss_mask: 0.8340, decode.d6.loss_dice: 1.1914, decode.d7.loss_cls: 1.0126, decode.d7.loss_mask: 0.8413, decode.d7.loss_dice: 1.1995, decode.d8.loss_cls: 1.0125, decode.d8.loss_mask: 0.8409, decode.d8.loss_dice: 1.1899, loss: 33.4481, grad_norm: 84.7653 2023-11-21 22:14:47,252 - mmseg - INFO - Iter [5950/160000] lr: 9.171e-06, eta: 1 day, 1:36:12, time: 0.573, data_time: 0.015, memory: 38143, decode.loss_cls: 1.0253, decode.loss_mask: 0.8351, decode.loss_dice: 1.2053, decode.d0.loss_cls: 3.1309, decode.d0.loss_mask: 0.8468, decode.d0.loss_dice: 1.4933, decode.d1.loss_cls: 1.3148, decode.d1.loss_mask: 0.8496, decode.d1.loss_dice: 1.2901, decode.d2.loss_cls: 1.1380, decode.d2.loss_mask: 0.8262, decode.d2.loss_dice: 1.2265, decode.d3.loss_cls: 1.0887, decode.d3.loss_mask: 0.8200, decode.d3.loss_dice: 1.2103, decode.d4.loss_cls: 1.0604, decode.d4.loss_mask: 0.8285, decode.d4.loss_dice: 1.2173, decode.d5.loss_cls: 1.0414, decode.d5.loss_mask: 0.8290, decode.d5.loss_dice: 1.2102, decode.d6.loss_cls: 1.0292, decode.d6.loss_mask: 0.8341, decode.d6.loss_dice: 1.2065, decode.d7.loss_cls: 1.0192, decode.d7.loss_mask: 0.8342, decode.d7.loss_dice: 1.2122, decode.d8.loss_cls: 1.0196, decode.d8.loss_mask: 0.8382, decode.d8.loss_dice: 1.2126, loss: 33.6931, grad_norm: 86.4396 2023-11-21 22:15:15,542 - mmseg - INFO - Saving checkpoint at 6000 iterations 2023-11-21 22:15:23,778 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-21 22:15:23,778 - mmseg - INFO - Iter [6000/160000] lr: 9.168e-06, eta: 1 day, 1:38:31, time: 0.731, data_time: 0.015, memory: 38143, decode.loss_cls: 0.9593, decode.loss_mask: 0.8480, decode.loss_dice: 1.1990, decode.d0.loss_cls: 3.0333, decode.d0.loss_mask: 0.8582, decode.d0.loss_dice: 1.4468, decode.d1.loss_cls: 1.2252, decode.d1.loss_mask: 0.8641, decode.d1.loss_dice: 1.2724, decode.d2.loss_cls: 1.0426, decode.d2.loss_mask: 0.8491, decode.d2.loss_dice: 1.2181, decode.d3.loss_cls: 1.0060, decode.d3.loss_mask: 0.8439, decode.d3.loss_dice: 1.2067, decode.d4.loss_cls: 0.9820, decode.d4.loss_mask: 0.8449, decode.d4.loss_dice: 1.2117, decode.d5.loss_cls: 0.9696, decode.d5.loss_mask: 0.8426, decode.d5.loss_dice: 1.2047, decode.d6.loss_cls: 0.9652, decode.d6.loss_mask: 0.8496, decode.d6.loss_dice: 1.1914, decode.d7.loss_cls: 0.9638, decode.d7.loss_mask: 0.8447, decode.d7.loss_dice: 1.1982, decode.d8.loss_cls: 0.9630, decode.d8.loss_mask: 0.8451, decode.d8.loss_dice: 1.1936, loss: 32.9431, grad_norm: 88.6090 2023-11-21 22:15:43,509 - mmseg - INFO - per class results: 2023-11-21 22:15:43,514 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 77.4 | 86.54 | | building | 79.63 | 92.32 | | sky | 94.63 | 97.62 | | floor | 81.81 | 87.61 | | tree | 76.13 | 86.94 | | ceiling | 85.01 | 93.41 | | road | 78.66 | 87.37 | | bed | 88.45 | 96.35 | | windowpane | 61.52 | 80.88 | | grass | 60.81 | 68.11 | | cabinet | 60.5 | 74.56 | | sidewalk | 57.93 | 83.0 | | person | 82.59 | 94.29 | | earth | 39.64 | 65.39 | | door | 43.13 | 70.63 | | table | 58.65 | 73.34 | | mountain | 59.72 | 70.27 | | plant | 55.35 | 70.25 | | curtain | 71.23 | 89.95 | | chair | 57.53 | 78.25 | | car | 85.92 | 93.87 | | water | 45.23 | 54.92 | | painting | 68.02 | 89.91 | | sofa | 68.24 | 80.75 | | shelf | 34.31 | 82.56 | | house | 19.41 | 25.2 | | sea | 49.3 | 84.22 | | mirror | 66.43 | 75.45 | | rug | 61.58 | 90.18 | | field | 21.56 | 48.5 | | armchair | 37.65 | 55.31 | | seat | 52.03 | 72.4 | | fence | 28.78 | 47.89 | | desk | 28.58 | 47.1 | | rock | 45.04 | 79.93 | | wardrobe | 5.37 | 6.07 | | lamp | 61.96 | 81.79 | | bathtub | 42.88 | 82.97 | | railing | 25.33 | 32.71 | | cushion | 61.26 | 80.0 | | base | 0.0 | 0.0 | | box | 17.85 | 42.37 | | column | 51.02 | 71.73 | | signboard | 38.28 | 54.47 | | chest of drawers | 35.04 | 55.68 | | counter | 21.77 | 35.61 | | sand | 29.85 | 36.78 | | sink | 71.6 | 82.46 | | skyscraper | 32.62 | 40.63 | | fireplace | 63.31 | 91.46 | | refrigerator | 65.28 | 88.43 | | grandstand | 0.0 | 0.0 | | path | 17.6 | 27.82 | | stairs | 29.06 | 42.18 | | runway | 0.0 | 0.0 | | case | 0.07 | 0.08 | | pool table | 93.64 | 96.46 | | pillow | 59.62 | 69.08 | | screen door | 0.0 | 0.0 | | stairway | 28.04 | 39.9 | | river | 13.52 | 31.09 | | bridge | 16.52 | 18.04 | | bookcase | 0.01 | 0.01 | | blind | 0.0 | 0.0 | | coffee table | 52.17 | 85.18 | | toilet | 82.15 | 94.06 | | flower | 39.94 | 51.47 | | book | 45.9 | 71.64 | | hill | 0.0 | 0.0 | | bench | 19.4 | 22.01 | | countertop | 35.31 | 76.5 | | stove | 40.82 | 90.28 | | palm | 54.69 | 82.38 | | kitchen island | 10.97 | 14.79 | | computer | 57.06 | 80.05 | | swivel chair | 12.18 | 13.38 | | boat | 43.59 | 52.48 | | bar | 0.0 | 0.0 | | arcade machine | 0.0 | 0.0 | | hovel | 0.0 | 0.0 | | bus | 7.34 | 7.35 | | towel | 34.13 | 92.55 | | light | 52.13 | 81.42 | | truck | 22.47 | 51.44 | | tower | 0.0 | 0.0 | | chandelier | 56.17 | 69.78 | | awning | 30.06 | 54.39 | | streetlight | 34.32 | 51.11 | | booth | 0.0 | 0.0 | | television receiver | 51.78 | 79.46 | | airplane | 44.13 | 53.67 | | dirt track | 0.0 | 0.0 | | apparel | 2.41 | 3.49 | | pole | 30.12 | 63.52 | | land | 0.0 | 0.0 | | bannister | 1.02 | 1.02 | | escalator | 0.0 | 0.0 | | ottoman | 51.16 | 57.57 | | bottle | 24.92 | 43.67 | | buffet | 0.0 | 0.0 | | poster | 0.0 | 0.0 | | stage | 0.0 | 0.0 | | van | 21.47 | 40.22 | | ship | 0.0 | 0.0 | | fountain | 0.0 | 0.0 | | conveyer belt | 0.0 | 0.0 | | canopy | 0.0 | 0.0 | | washer | 0.0 | 0.0 | | plaything | 5.9 | 6.12 | | swimming pool | 0.0 | 0.0 | | stool | 7.63 | 9.01 | | barrel | 0.0 | 0.0 | | basket | 17.38 | 33.94 | | waterfall | 12.67 | 12.74 | | tent | 0.0 | 0.0 | | bag | 6.27 | 7.63 | | minibike | 40.59 | 66.65 | | cradle | 0.0 | 0.0 | | oven | 0.0 | 0.0 | | ball | 0.0 | 0.0 | | food | 0.0 | 0.0 | | step | 0.0 | 0.0 | | tank | 0.0 | 0.0 | | trade name | 25.05 | 31.08 | | microwave | 39.88 | 44.61 | | pot | 32.94 | 41.14 | | animal | 2.98 | 3.0 | | bicycle | 37.89 | 55.29 | | lake | 0.0 | 0.0 | | dishwasher | 14.66 | 22.51 | | screen | 0.0 | 0.0 | | blanket | 0.0 | 0.0 | | sculpture | 6.51 | 6.51 | | hood | 57.57 | 61.93 | | sconce | 25.78 | 30.94 | | vase | 39.04 | 69.34 | | traffic light | 18.67 | 28.62 | | tray | 0.11 | 0.11 | | ashcan | 30.76 | 54.08 | | fan | 37.4 | 45.57 | | pier | 0.0 | 0.0 | | crt screen | 0.0 | 0.0 | | plate | 41.06 | 82.04 | | monitor | 0.0 | 0.0 | | bulletin board | 0.0 | 0.0 | | shower | 0.0 | 0.0 | | radiator | 0.27 | 0.27 | | glass | 16.74 | 18.43 | | clock | 28.21 | 37.02 | | flag | 37.02 | 41.87 | +---------------------+-------+-------+ 2023-11-21 22:15:43,514 - mmseg - INFO - Summary: 2023-11-21 22:15:43,514 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 80.02 | 30.03 | 41.19 | +-------+-------+-------+ 2023-11-21 22:15:43,818 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_l_640_160k_ade20k_ss/best_mIoU_iter_4000.pth was removed 2023-11-21 22:15:50,543 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_6000.pth. 2023-11-21 22:15:50,544 - mmseg - INFO - Best mIoU is 0.3003 at 6000 iter. 2023-11-21 22:15:50,544 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-21 22:15:50,544 - mmseg - INFO - Iter(val) [250] aAcc: 0.8002, mIoU: 0.3003, mAcc: 0.4119, IoU.wall: 0.7740, IoU.building: 0.7963, IoU.sky: 0.9463, IoU.floor: 0.8181, IoU.tree: 0.7613, IoU.ceiling: 0.8501, IoU.road: 0.7866, IoU.bed : 0.8845, IoU.windowpane: 0.6152, IoU.grass: 0.6081, IoU.cabinet: 0.6050, IoU.sidewalk: 0.5793, IoU.person: 0.8259, IoU.earth: 0.3964, IoU.door: 0.4313, IoU.table: 0.5865, IoU.mountain: 0.5972, IoU.plant: 0.5535, IoU.curtain: 0.7123, IoU.chair: 0.5753, IoU.car: 0.8592, IoU.water: 0.4523, IoU.painting: 0.6802, IoU.sofa: 0.6824, IoU.shelf: 0.3431, IoU.house: 0.1941, IoU.sea: 0.4930, IoU.mirror: 0.6643, IoU.rug: 0.6158, IoU.field: 0.2156, IoU.armchair: 0.3765, IoU.seat: 0.5203, IoU.fence: 0.2878, IoU.desk: 0.2858, IoU.rock: 0.4504, IoU.wardrobe: 0.0537, IoU.lamp: 0.6196, IoU.bathtub: 0.4288, IoU.railing: 0.2533, IoU.cushion: 0.6126, IoU.base: 0.0000, IoU.box: 0.1785, IoU.column: 0.5102, IoU.signboard: 0.3828, IoU.chest of drawers: 0.3504, IoU.counter: 0.2177, IoU.sand: 0.2985, IoU.sink: 0.7160, IoU.skyscraper: 0.3262, IoU.fireplace: 0.6331, IoU.refrigerator: 0.6528, IoU.grandstand: 0.0000, IoU.path: 0.1760, IoU.stairs: 0.2906, IoU.runway: 0.0000, IoU.case: 0.0007, IoU.pool table: 0.9364, IoU.pillow: 0.5962, IoU.screen door: 0.0000, IoU.stairway: 0.2804, IoU.river: 0.1352, IoU.bridge: 0.1652, IoU.bookcase: 0.0001, IoU.blind: 0.0000, IoU.coffee table: 0.5217, IoU.toilet: 0.8215, IoU.flower: 0.3994, IoU.book: 0.4590, IoU.hill: 0.0000, IoU.bench: 0.1940, IoU.countertop: 0.3531, IoU.stove: 0.4082, IoU.palm: 0.5469, IoU.kitchen island: 0.1097, IoU.computer: 0.5706, IoU.swivel chair: 0.1218, IoU.boat: 0.4359, IoU.bar: 0.0000, IoU.arcade machine: 0.0000, IoU.hovel: 0.0000, IoU.bus: 0.0734, IoU.towel: 0.3413, IoU.light: 0.5213, IoU.truck: 0.2247, IoU.tower: 0.0000, IoU.chandelier: 0.5617, IoU.awning: 0.3006, IoU.streetlight: 0.3432, IoU.booth: 0.0000, IoU.television receiver: 0.5178, IoU.airplane: 0.4413, IoU.dirt track: 0.0000, IoU.apparel: 0.0241, IoU.pole: 0.3012, IoU.land: 0.0000, IoU.bannister: 0.0102, IoU.escalator: 0.0000, IoU.ottoman: 0.5116, IoU.bottle: 0.2492, IoU.buffet: 0.0000, IoU.poster: 0.0000, IoU.stage: 0.0000, IoU.van: 0.2147, IoU.ship: 0.0000, IoU.fountain: 0.0000, IoU.conveyer belt: 0.0000, IoU.canopy: 0.0000, IoU.washer: 0.0000, IoU.plaything: 0.0590, IoU.swimming pool: 0.0000, IoU.stool: 0.0763, IoU.barrel: 0.0000, IoU.basket: 0.1738, IoU.waterfall: 0.1267, IoU.tent: 0.0000, IoU.bag: 0.0627, IoU.minibike: 0.4059, IoU.cradle: 0.0000, IoU.oven: 0.0000, IoU.ball: 0.0000, IoU.food: 0.0000, IoU.step: 0.0000, IoU.tank: 0.0000, IoU.trade name: 0.2505, IoU.microwave: 0.3988, IoU.pot: 0.3294, IoU.animal: 0.0298, IoU.bicycle: 0.3789, IoU.lake: 0.0000, IoU.dishwasher: 0.1466, IoU.screen: 0.0000, IoU.blanket: 0.0000, IoU.sculpture: 0.0651, IoU.hood: 0.5757, IoU.sconce: 0.2578, IoU.vase: 0.3904, IoU.traffic light: 0.1867, IoU.tray: 0.0011, IoU.ashcan: 0.3076, IoU.fan: 0.3740, IoU.pier: 0.0000, IoU.crt screen: 0.0000, IoU.plate: 0.4106, IoU.monitor: 0.0000, IoU.bulletin board: 0.0000, IoU.shower: 0.0000, IoU.radiator: 0.0027, IoU.glass: 0.1674, IoU.clock: 0.2821, IoU.flag: 0.3702, Acc.wall: 0.8654, Acc.building: 0.9232, Acc.sky: 0.9762, Acc.floor: 0.8761, Acc.tree: 0.8694, Acc.ceiling: 0.9341, Acc.road: 0.8737, Acc.bed : 0.9635, Acc.windowpane: 0.8088, Acc.grass: 0.6811, Acc.cabinet: 0.7456, Acc.sidewalk: 0.8300, Acc.person: 0.9429, Acc.earth: 0.6539, Acc.door: 0.7063, Acc.table: 0.7334, Acc.mountain: 0.7027, Acc.plant: 0.7025, Acc.curtain: 0.8995, Acc.chair: 0.7825, Acc.car: 0.9387, Acc.water: 0.5492, Acc.painting: 0.8991, Acc.sofa: 0.8075, Acc.shelf: 0.8256, Acc.house: 0.2520, Acc.sea: 0.8422, Acc.mirror: 0.7545, Acc.rug: 0.9018, Acc.field: 0.4850, Acc.armchair: 0.5531, Acc.seat: 0.7240, Acc.fence: 0.4789, Acc.desk: 0.4710, Acc.rock: 0.7993, Acc.wardrobe: 0.0607, Acc.lamp: 0.8179, Acc.bathtub: 0.8297, Acc.railing: 0.3271, Acc.cushion: 0.8000, Acc.base: 0.0000, Acc.box: 0.4237, Acc.column: 0.7173, Acc.signboard: 0.5447, Acc.chest of drawers: 0.5568, Acc.counter: 0.3561, Acc.sand: 0.3678, Acc.sink: 0.8246, Acc.skyscraper: 0.4063, Acc.fireplace: 0.9146, Acc.refrigerator: 0.8843, Acc.grandstand: 0.0000, Acc.path: 0.2782, Acc.stairs: 0.4218, Acc.runway: 0.0000, Acc.case: 0.0008, Acc.pool table: 0.9646, Acc.pillow: 0.6908, Acc.screen door: 0.0000, Acc.stairway: 0.3990, Acc.river: 0.3109, Acc.bridge: 0.1804, Acc.bookcase: 0.0001, Acc.blind: 0.0000, Acc.coffee table: 0.8518, Acc.toilet: 0.9406, Acc.flower: 0.5147, Acc.book: 0.7164, Acc.hill: 0.0000, Acc.bench: 0.2201, Acc.countertop: 0.7650, Acc.stove: 0.9028, Acc.palm: 0.8238, Acc.kitchen island: 0.1479, Acc.computer: 0.8005, Acc.swivel chair: 0.1338, Acc.boat: 0.5248, Acc.bar: 0.0000, Acc.arcade machine: 0.0000, Acc.hovel: 0.0000, Acc.bus: 0.0735, Acc.towel: 0.9255, Acc.light: 0.8142, Acc.truck: 0.5144, Acc.tower: 0.0000, Acc.chandelier: 0.6978, Acc.awning: 0.5439, Acc.streetlight: 0.5111, Acc.booth: 0.0000, Acc.television receiver: 0.7946, Acc.airplane: 0.5367, Acc.dirt track: 0.0000, Acc.apparel: 0.0349, Acc.pole: 0.6352, Acc.land: 0.0000, Acc.bannister: 0.0102, Acc.escalator: 0.0000, Acc.ottoman: 0.5757, Acc.bottle: 0.4367, Acc.buffet: 0.0000, Acc.poster: 0.0000, Acc.stage: 0.0000, Acc.van: 0.4022, Acc.ship: 0.0000, Acc.fountain: 0.0000, Acc.conveyer belt: 0.0000, Acc.canopy: 0.0000, Acc.washer: 0.0000, Acc.plaything: 0.0612, Acc.swimming pool: 0.0000, Acc.stool: 0.0901, Acc.barrel: 0.0000, Acc.basket: 0.3394, Acc.waterfall: 0.1274, Acc.tent: 0.0000, Acc.bag: 0.0763, Acc.minibike: 0.6665, Acc.cradle: 0.0000, Acc.oven: 0.0000, Acc.ball: 0.0000, Acc.food: 0.0000, Acc.step: 0.0000, Acc.tank: 0.0000, Acc.trade name: 0.3108, Acc.microwave: 0.4461, Acc.pot: 0.4114, Acc.animal: 0.0300, Acc.bicycle: 0.5529, Acc.lake: 0.0000, Acc.dishwasher: 0.2251, Acc.screen: 0.0000, Acc.blanket: 0.0000, Acc.sculpture: 0.0651, Acc.hood: 0.6193, Acc.sconce: 0.3094, Acc.vase: 0.6934, Acc.traffic light: 0.2862, Acc.tray: 0.0011, Acc.ashcan: 0.5408, Acc.fan: 0.4557, Acc.pier: 0.0000, Acc.crt screen: 0.0000, Acc.plate: 0.8204, Acc.monitor: 0.0000, Acc.bulletin board: 0.0000, Acc.shower: 0.0000, Acc.radiator: 0.0027, Acc.glass: 0.1843, Acc.clock: 0.3702, Acc.flag: 0.4187 2023-11-21 22:16:18,869 - mmseg - INFO - Iter [6050/160000] lr: 9.165e-06, eta: 1 day, 1:48:40, time: 1.102, data_time: 0.550, memory: 38143, decode.loss_cls: 1.0156, decode.loss_mask: 0.8132, decode.loss_dice: 1.1719, decode.d0.loss_cls: 3.1203, decode.d0.loss_mask: 0.8288, decode.d0.loss_dice: 1.4386, decode.d1.loss_cls: 1.3037, decode.d1.loss_mask: 0.8287, decode.d1.loss_dice: 1.2402, decode.d2.loss_cls: 1.1128, decode.d2.loss_mask: 0.8180, decode.d2.loss_dice: 1.1848, decode.d3.loss_cls: 1.0646, decode.d3.loss_mask: 0.8101, decode.d3.loss_dice: 1.1718, decode.d4.loss_cls: 1.0435, decode.d4.loss_mask: 0.8130, decode.d4.loss_dice: 1.1766, decode.d5.loss_cls: 1.0321, decode.d5.loss_mask: 0.8143, decode.d5.loss_dice: 1.1655, decode.d6.loss_cls: 1.0281, decode.d6.loss_mask: 0.8098, decode.d6.loss_dice: 1.1621, decode.d7.loss_cls: 1.0220, decode.d7.loss_mask: 0.8108, decode.d7.loss_dice: 1.1681, decode.d8.loss_cls: 1.0079, decode.d8.loss_mask: 0.8195, decode.d8.loss_dice: 1.1628, loss: 32.9589, grad_norm: 84.7229 2023-11-21 22:16:47,122 - mmseg - INFO - Iter [6100/160000] lr: 9.162e-06, eta: 1 day, 1:47:22, time: 0.565, data_time: 0.015, memory: 38143, decode.loss_cls: 0.9855, decode.loss_mask: 0.8165, decode.loss_dice: 1.1991, decode.d0.loss_cls: 3.0078, decode.d0.loss_mask: 0.8312, decode.d0.loss_dice: 1.4625, decode.d1.loss_cls: 1.2479, decode.d1.loss_mask: 0.8286, decode.d1.loss_dice: 1.2780, decode.d2.loss_cls: 1.0832, decode.d2.loss_mask: 0.8192, decode.d2.loss_dice: 1.2189, decode.d3.loss_cls: 1.0430, decode.d3.loss_mask: 0.8084, decode.d3.loss_dice: 1.1960, decode.d4.loss_cls: 1.0191, decode.d4.loss_mask: 0.8100, decode.d4.loss_dice: 1.2021, decode.d5.loss_cls: 1.0040, decode.d5.loss_mask: 0.8082, decode.d5.loss_dice: 1.1991, decode.d6.loss_cls: 0.9978, decode.d6.loss_mask: 0.8115, decode.d6.loss_dice: 1.1939, decode.d7.loss_cls: 0.9890, decode.d7.loss_mask: 0.8169, decode.d7.loss_dice: 1.1981, decode.d8.loss_cls: 0.9845, decode.d8.loss_mask: 0.8188, decode.d8.loss_dice: 1.2002, loss: 32.8792, grad_norm: 85.9060 2023-11-21 22:17:15,438 - mmseg - INFO - Iter [6150/160000] lr: 9.159e-06, eta: 1 day, 1:46:05, time: 0.566, data_time: 0.016, memory: 38143, decode.loss_cls: 1.0242, decode.loss_mask: 0.8105, decode.loss_dice: 1.1873, decode.d0.loss_cls: 3.0387, decode.d0.loss_mask: 0.8239, decode.d0.loss_dice: 1.4477, decode.d1.loss_cls: 1.2829, decode.d1.loss_mask: 0.8377, decode.d1.loss_dice: 1.2594, decode.d2.loss_cls: 1.1073, decode.d2.loss_mask: 0.8189, decode.d2.loss_dice: 1.2089, decode.d3.loss_cls: 1.0620, decode.d3.loss_mask: 0.8172, decode.d3.loss_dice: 1.1890, decode.d4.loss_cls: 1.0439, decode.d4.loss_mask: 0.8141, decode.d4.loss_dice: 1.1924, decode.d5.loss_cls: 1.0300, decode.d5.loss_mask: 0.8144, decode.d5.loss_dice: 1.1849, decode.d6.loss_cls: 1.0148, decode.d6.loss_mask: 0.8137, decode.d6.loss_dice: 1.1822, decode.d7.loss_cls: 1.0107, decode.d7.loss_mask: 0.8182, decode.d7.loss_dice: 1.1821, decode.d8.loss_cls: 1.0100, decode.d8.loss_mask: 0.8191, decode.d8.loss_dice: 1.1838, loss: 33.0300, grad_norm: 84.3780 2023-11-21 22:17:44,042 - mmseg - INFO - Iter [6200/160000] lr: 9.156e-06, eta: 1 day, 1:44:57, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 1.0190, decode.loss_mask: 0.8253, decode.loss_dice: 1.2050, decode.d0.loss_cls: 3.0083, decode.d0.loss_mask: 0.8343, decode.d0.loss_dice: 1.4624, decode.d1.loss_cls: 1.2764, decode.d1.loss_mask: 0.8487, decode.d1.loss_dice: 1.2791, decode.d2.loss_cls: 1.1005, decode.d2.loss_mask: 0.8226, decode.d2.loss_dice: 1.2268, decode.d3.loss_cls: 1.0565, decode.d3.loss_mask: 0.8205, decode.d3.loss_dice: 1.2124, decode.d4.loss_cls: 1.0325, decode.d4.loss_mask: 0.8210, decode.d4.loss_dice: 1.2173, decode.d5.loss_cls: 1.0287, decode.d5.loss_mask: 0.8253, decode.d5.loss_dice: 1.2140, decode.d6.loss_cls: 1.0187, decode.d6.loss_mask: 0.8235, decode.d6.loss_dice: 1.2000, decode.d7.loss_cls: 1.0180, decode.d7.loss_mask: 0.8184, decode.d7.loss_dice: 1.2011, decode.d8.loss_cls: 1.0190, decode.d8.loss_mask: 0.8261, decode.d8.loss_dice: 1.2099, loss: 33.2713, grad_norm: 86.8069 2023-11-21 22:18:12,451 - mmseg - INFO - Iter [6250/160000] lr: 9.153e-06, eta: 1 day, 1:43:44, time: 0.568, data_time: 0.015, memory: 38143, decode.loss_cls: 1.0226, decode.loss_mask: 0.8052, decode.loss_dice: 1.1970, decode.d0.loss_cls: 3.0558, decode.d0.loss_mask: 0.8176, decode.d0.loss_dice: 1.4537, decode.d1.loss_cls: 1.2993, decode.d1.loss_mask: 0.8190, decode.d1.loss_dice: 1.2745, decode.d2.loss_cls: 1.1258, decode.d2.loss_mask: 0.7985, decode.d2.loss_dice: 1.2157, decode.d3.loss_cls: 1.0784, decode.d3.loss_mask: 0.7945, decode.d3.loss_dice: 1.1966, decode.d4.loss_cls: 1.0574, decode.d4.loss_mask: 0.7948, decode.d4.loss_dice: 1.1943, decode.d5.loss_cls: 1.0412, decode.d5.loss_mask: 0.7971, decode.d5.loss_dice: 1.1934, decode.d6.loss_cls: 1.0265, decode.d6.loss_mask: 0.7939, decode.d6.loss_dice: 1.1881, decode.d7.loss_cls: 1.0274, decode.d7.loss_mask: 0.7938, decode.d7.loss_dice: 1.1886, decode.d8.loss_cls: 1.0226, decode.d8.loss_mask: 0.7991, decode.d8.loss_dice: 1.1912, loss: 33.0635, grad_norm: 79.6092 2023-11-21 22:18:40,752 - mmseg - INFO - Iter [6300/160000] lr: 9.150e-06, eta: 1 day, 1:42:30, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.9729, decode.loss_mask: 0.7942, decode.loss_dice: 1.1743, decode.d0.loss_cls: 3.0038, decode.d0.loss_mask: 0.8194, decode.d0.loss_dice: 1.4509, decode.d1.loss_cls: 1.2239, decode.d1.loss_mask: 0.8225, decode.d1.loss_dice: 1.2539, decode.d2.loss_cls: 1.0688, decode.d2.loss_mask: 0.8009, decode.d2.loss_dice: 1.2042, decode.d3.loss_cls: 1.0133, decode.d3.loss_mask: 0.7974, decode.d3.loss_dice: 1.1771, decode.d4.loss_cls: 0.9965, decode.d4.loss_mask: 0.7940, decode.d4.loss_dice: 1.1793, decode.d5.loss_cls: 0.9865, decode.d5.loss_mask: 0.7960, decode.d5.loss_dice: 1.1803, decode.d6.loss_cls: 0.9770, decode.d6.loss_mask: 0.7953, decode.d6.loss_dice: 1.1707, decode.d7.loss_cls: 0.9685, decode.d7.loss_mask: 0.7997, decode.d7.loss_dice: 1.1829, decode.d8.loss_cls: 0.9689, decode.d8.loss_mask: 0.7944, decode.d8.loss_dice: 1.1866, loss: 32.3541, grad_norm: 79.1364 2023-11-21 22:19:11,388 - mmseg - INFO - Iter [6350/160000] lr: 9.147e-06, eta: 1 day, 1:42:12, time: 0.613, data_time: 0.058, memory: 38143, decode.loss_cls: 0.9932, decode.loss_mask: 0.7984, decode.loss_dice: 1.1972, decode.d0.loss_cls: 2.9457, decode.d0.loss_mask: 0.8275, decode.d0.loss_dice: 1.4685, decode.d1.loss_cls: 1.2487, decode.d1.loss_mask: 0.8222, decode.d1.loss_dice: 1.2709, decode.d2.loss_cls: 1.0865, decode.d2.loss_mask: 0.8060, decode.d2.loss_dice: 1.2166, decode.d3.loss_cls: 1.0446, decode.d3.loss_mask: 0.7975, decode.d3.loss_dice: 1.1954, decode.d4.loss_cls: 1.0242, decode.d4.loss_mask: 0.7975, decode.d4.loss_dice: 1.2009, decode.d5.loss_cls: 1.0096, decode.d5.loss_mask: 0.7936, decode.d5.loss_dice: 1.1978, decode.d6.loss_cls: 1.0040, decode.d6.loss_mask: 0.7932, decode.d6.loss_dice: 1.1860, decode.d7.loss_cls: 1.0002, decode.d7.loss_mask: 0.7917, decode.d7.loss_dice: 1.1945, decode.d8.loss_cls: 0.9961, decode.d8.loss_mask: 0.7980, decode.d8.loss_dice: 1.1852, loss: 32.6912, grad_norm: 80.6822 2023-11-21 22:19:39,606 - mmseg - INFO - Iter [6400/160000] lr: 9.144e-06, eta: 1 day, 1:40:57, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.9539, decode.loss_mask: 0.7931, decode.loss_dice: 1.1865, decode.d0.loss_cls: 2.9726, decode.d0.loss_mask: 0.8077, decode.d0.loss_dice: 1.4423, decode.d1.loss_cls: 1.2268, decode.d1.loss_mask: 0.8085, decode.d1.loss_dice: 1.2599, decode.d2.loss_cls: 1.0501, decode.d2.loss_mask: 0.7927, decode.d2.loss_dice: 1.2049, decode.d3.loss_cls: 0.9996, decode.d3.loss_mask: 0.7909, decode.d3.loss_dice: 1.1934, decode.d4.loss_cls: 0.9796, decode.d4.loss_mask: 0.7935, decode.d4.loss_dice: 1.1943, decode.d5.loss_cls: 0.9767, decode.d5.loss_mask: 0.7843, decode.d5.loss_dice: 1.1894, decode.d6.loss_cls: 0.9627, decode.d6.loss_mask: 0.7893, decode.d6.loss_dice: 1.1752, decode.d7.loss_cls: 0.9641, decode.d7.loss_mask: 0.7848, decode.d7.loss_dice: 1.1837, decode.d8.loss_cls: 0.9543, decode.d8.loss_mask: 0.7899, decode.d8.loss_dice: 1.1816, loss: 32.1864, grad_norm: 82.9014 2023-11-21 22:20:08,090 - mmseg - INFO - Iter [6450/160000] lr: 9.141e-06, eta: 1 day, 1:39:48, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.9854, decode.loss_mask: 0.8080, decode.loss_dice: 1.2087, decode.d0.loss_cls: 2.9424, decode.d0.loss_mask: 0.8240, decode.d0.loss_dice: 1.4769, decode.d1.loss_cls: 1.2754, decode.d1.loss_mask: 0.8285, decode.d1.loss_dice: 1.2879, decode.d2.loss_cls: 1.0969, decode.d2.loss_mask: 0.8074, decode.d2.loss_dice: 1.2352, decode.d3.loss_cls: 1.0459, decode.d3.loss_mask: 0.8078, decode.d3.loss_dice: 1.2158, decode.d4.loss_cls: 1.0345, decode.d4.loss_mask: 0.8108, decode.d4.loss_dice: 1.2198, decode.d5.loss_cls: 1.0158, decode.d5.loss_mask: 0.8077, decode.d5.loss_dice: 1.2120, decode.d6.loss_cls: 0.9957, decode.d6.loss_mask: 0.8104, decode.d6.loss_dice: 1.2041, decode.d7.loss_cls: 0.9931, decode.d7.loss_mask: 0.8054, decode.d7.loss_dice: 1.2089, decode.d8.loss_cls: 0.9875, decode.d8.loss_mask: 0.8067, decode.d8.loss_dice: 1.2095, loss: 32.9679, grad_norm: 82.9195 2023-11-21 22:20:36,731 - mmseg - INFO - Iter [6500/160000] lr: 9.138e-06, eta: 1 day, 1:38:44, time: 0.573, data_time: 0.015, memory: 38143, decode.loss_cls: 1.0052, decode.loss_mask: 0.7966, decode.loss_dice: 1.2081, decode.d0.loss_cls: 2.9723, decode.d0.loss_mask: 0.8177, decode.d0.loss_dice: 1.4734, decode.d1.loss_cls: 1.2801, decode.d1.loss_mask: 0.8237, decode.d1.loss_dice: 1.2852, decode.d2.loss_cls: 1.1022, decode.d2.loss_mask: 0.8035, decode.d2.loss_dice: 1.2303, decode.d3.loss_cls: 1.0409, decode.d3.loss_mask: 0.8046, decode.d3.loss_dice: 1.2112, decode.d4.loss_cls: 1.0298, decode.d4.loss_mask: 0.8013, decode.d4.loss_dice: 1.2156, decode.d5.loss_cls: 1.0239, decode.d5.loss_mask: 0.7959, decode.d5.loss_dice: 1.2144, decode.d6.loss_cls: 1.0113, decode.d6.loss_mask: 0.7978, decode.d6.loss_dice: 1.2066, decode.d7.loss_cls: 1.0011, decode.d7.loss_mask: 0.8035, decode.d7.loss_dice: 1.2026, decode.d8.loss_cls: 1.0155, decode.d8.loss_mask: 0.7964, decode.d8.loss_dice: 1.2023, loss: 32.9730, grad_norm: 81.1666 2023-11-21 22:21:05,042 - mmseg - INFO - Iter [6550/160000] lr: 9.135e-06, eta: 1 day, 1:37:33, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.9429, decode.loss_mask: 0.8330, decode.loss_dice: 1.1797, decode.d0.loss_cls: 2.8773, decode.d0.loss_mask: 0.8452, decode.d0.loss_dice: 1.4219, decode.d1.loss_cls: 1.2102, decode.d1.loss_mask: 0.8575, decode.d1.loss_dice: 1.2481, decode.d2.loss_cls: 1.0305, decode.d2.loss_mask: 0.8350, decode.d2.loss_dice: 1.1998, decode.d3.loss_cls: 0.9847, decode.d3.loss_mask: 0.8230, decode.d3.loss_dice: 1.1721, decode.d4.loss_cls: 0.9764, decode.d4.loss_mask: 0.8265, decode.d4.loss_dice: 1.1847, decode.d5.loss_cls: 0.9520, decode.d5.loss_mask: 0.8294, decode.d5.loss_dice: 1.1747, decode.d6.loss_cls: 0.9498, decode.d6.loss_mask: 0.8301, decode.d6.loss_dice: 1.1712, decode.d7.loss_cls: 0.9394, decode.d7.loss_mask: 0.8357, decode.d7.loss_dice: 1.1809, decode.d8.loss_cls: 0.9391, decode.d8.loss_mask: 0.8360, decode.d8.loss_dice: 1.1768, loss: 32.2635, grad_norm: 87.8349 2023-11-21 22:21:33,297 - mmseg - INFO - Iter [6600/160000] lr: 9.132e-06, eta: 1 day, 1:36:21, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.9522, decode.loss_mask: 0.8040, decode.loss_dice: 1.1551, decode.d0.loss_cls: 2.8887, decode.d0.loss_mask: 0.8154, decode.d0.loss_dice: 1.4095, decode.d1.loss_cls: 1.2316, decode.d1.loss_mask: 0.8329, decode.d1.loss_dice: 1.2383, decode.d2.loss_cls: 1.0549, decode.d2.loss_mask: 0.8112, decode.d2.loss_dice: 1.1832, decode.d3.loss_cls: 1.0048, decode.d3.loss_mask: 0.8029, decode.d3.loss_dice: 1.1571, decode.d4.loss_cls: 0.9882, decode.d4.loss_mask: 0.8115, decode.d4.loss_dice: 1.1633, decode.d5.loss_cls: 0.9748, decode.d5.loss_mask: 0.8025, decode.d5.loss_dice: 1.1642, decode.d6.loss_cls: 0.9561, decode.d6.loss_mask: 0.8060, decode.d6.loss_dice: 1.1604, decode.d7.loss_cls: 0.9490, decode.d7.loss_mask: 0.8055, decode.d7.loss_dice: 1.1601, decode.d8.loss_cls: 0.9520, decode.d8.loss_mask: 0.8084, decode.d8.loss_dice: 1.1516, loss: 31.9953, grad_norm: 80.4844 2023-11-21 22:22:01,542 - mmseg - INFO - Iter [6650/160000] lr: 9.129e-06, eta: 1 day, 1:35:09, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.9538, decode.loss_mask: 0.7878, decode.loss_dice: 1.1619, decode.d0.loss_cls: 2.8351, decode.d0.loss_mask: 0.8207, decode.d0.loss_dice: 1.4207, decode.d1.loss_cls: 1.2071, decode.d1.loss_mask: 0.8151, decode.d1.loss_dice: 1.2520, decode.d2.loss_cls: 1.0441, decode.d2.loss_mask: 0.8075, decode.d2.loss_dice: 1.1958, decode.d3.loss_cls: 0.9920, decode.d3.loss_mask: 0.7972, decode.d3.loss_dice: 1.1732, decode.d4.loss_cls: 0.9655, decode.d4.loss_mask: 0.7972, decode.d4.loss_dice: 1.1833, decode.d5.loss_cls: 0.9618, decode.d5.loss_mask: 0.7958, decode.d5.loss_dice: 1.1697, decode.d6.loss_cls: 0.9588, decode.d6.loss_mask: 0.7930, decode.d6.loss_dice: 1.1622, decode.d7.loss_cls: 0.9491, decode.d7.loss_mask: 0.7982, decode.d7.loss_dice: 1.1680, decode.d8.loss_cls: 0.9526, decode.d8.loss_mask: 0.7911, decode.d8.loss_dice: 1.1654, loss: 31.8757, grad_norm: 83.5504 2023-11-21 22:22:29,765 - mmseg - INFO - Iter [6700/160000] lr: 9.126e-06, eta: 1 day, 1:33:58, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.9595, decode.loss_mask: 0.8160, decode.loss_dice: 1.1301, decode.d0.loss_cls: 2.7992, decode.d0.loss_mask: 0.8279, decode.d0.loss_dice: 1.3944, decode.d1.loss_cls: 1.2239, decode.d1.loss_mask: 0.8402, decode.d1.loss_dice: 1.2252, decode.d2.loss_cls: 1.0505, decode.d2.loss_mask: 0.8228, decode.d2.loss_dice: 1.1671, decode.d3.loss_cls: 1.0071, decode.d3.loss_mask: 0.8116, decode.d3.loss_dice: 1.1387, decode.d4.loss_cls: 0.9898, decode.d4.loss_mask: 0.8105, decode.d4.loss_dice: 1.1427, decode.d5.loss_cls: 0.9703, decode.d5.loss_mask: 0.8162, decode.d5.loss_dice: 1.1403, decode.d6.loss_cls: 0.9655, decode.d6.loss_mask: 0.8237, decode.d6.loss_dice: 1.1299, decode.d7.loss_cls: 0.9554, decode.d7.loss_mask: 0.8267, decode.d7.loss_dice: 1.1439, decode.d8.loss_cls: 0.9524, decode.d8.loss_mask: 0.8205, decode.d8.loss_dice: 1.1396, loss: 31.8414, grad_norm: 87.8945 2023-11-21 22:22:58,035 - mmseg - INFO - Iter [6750/160000] lr: 9.123e-06, eta: 1 day, 1:32:48, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.9644, decode.loss_mask: 0.8059, decode.loss_dice: 1.1865, decode.d0.loss_cls: 2.8210, decode.d0.loss_mask: 0.8246, decode.d0.loss_dice: 1.4244, decode.d1.loss_cls: 1.2012, decode.d1.loss_mask: 0.8306, decode.d1.loss_dice: 1.2582, decode.d2.loss_cls: 1.0480, decode.d2.loss_mask: 0.8122, decode.d2.loss_dice: 1.2114, decode.d3.loss_cls: 1.0034, decode.d3.loss_mask: 0.8052, decode.d3.loss_dice: 1.1919, decode.d4.loss_cls: 0.9823, decode.d4.loss_mask: 0.8131, decode.d4.loss_dice: 1.1944, decode.d5.loss_cls: 0.9660, decode.d5.loss_mask: 0.8109, decode.d5.loss_dice: 1.1985, decode.d6.loss_cls: 0.9638, decode.d6.loss_mask: 0.8133, decode.d6.loss_dice: 1.1846, decode.d7.loss_cls: 0.9506, decode.d7.loss_mask: 0.8123, decode.d7.loss_dice: 1.1931, decode.d8.loss_cls: 0.9571, decode.d8.loss_mask: 0.8147, decode.d8.loss_dice: 1.1962, loss: 32.2398, grad_norm: 84.3080 2023-11-21 22:23:26,652 - mmseg - INFO - Iter [6800/160000] lr: 9.120e-06, eta: 1 day, 1:31:47, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.9339, decode.loss_mask: 0.7835, decode.loss_dice: 1.1738, decode.d0.loss_cls: 2.8064, decode.d0.loss_mask: 0.8063, decode.d0.loss_dice: 1.4255, decode.d1.loss_cls: 1.1934, decode.d1.loss_mask: 0.8052, decode.d1.loss_dice: 1.2680, decode.d2.loss_cls: 1.0251, decode.d2.loss_mask: 0.7821, decode.d2.loss_dice: 1.1913, decode.d3.loss_cls: 0.9731, decode.d3.loss_mask: 0.7848, decode.d3.loss_dice: 1.1778, decode.d4.loss_cls: 0.9584, decode.d4.loss_mask: 0.7833, decode.d4.loss_dice: 1.1841, decode.d5.loss_cls: 0.9552, decode.d5.loss_mask: 0.7777, decode.d5.loss_dice: 1.1785, decode.d6.loss_cls: 0.9398, decode.d6.loss_mask: 0.7837, decode.d6.loss_dice: 1.1688, decode.d7.loss_cls: 0.9289, decode.d7.loss_mask: 0.7877, decode.d7.loss_dice: 1.1729, decode.d8.loss_cls: 0.9239, decode.d8.loss_mask: 0.7910, decode.d8.loss_dice: 1.1808, loss: 31.6450, grad_norm: 77.4933 2023-11-21 22:23:54,911 - mmseg - INFO - Iter [6850/160000] lr: 9.117e-06, eta: 1 day, 1:30:38, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.9282, decode.loss_mask: 0.8271, decode.loss_dice: 1.1744, decode.d0.loss_cls: 2.7951, decode.d0.loss_mask: 0.8392, decode.d0.loss_dice: 1.4106, decode.d1.loss_cls: 1.2073, decode.d1.loss_mask: 0.8393, decode.d1.loss_dice: 1.2498, decode.d2.loss_cls: 1.0204, decode.d2.loss_mask: 0.8245, decode.d2.loss_dice: 1.1923, decode.d3.loss_cls: 0.9788, decode.d3.loss_mask: 0.8220, decode.d3.loss_dice: 1.1655, decode.d4.loss_cls: 0.9645, decode.d4.loss_mask: 0.8236, decode.d4.loss_dice: 1.1747, decode.d5.loss_cls: 0.9570, decode.d5.loss_mask: 0.8129, decode.d5.loss_dice: 1.1684, decode.d6.loss_cls: 0.9368, decode.d6.loss_mask: 0.8207, decode.d6.loss_dice: 1.1614, decode.d7.loss_cls: 0.9348, decode.d7.loss_mask: 0.8216, decode.d7.loss_dice: 1.1655, decode.d8.loss_cls: 0.9269, decode.d8.loss_mask: 0.8224, decode.d8.loss_dice: 1.1668, loss: 31.9325, grad_norm: 84.9255 2023-11-21 22:24:23,151 - mmseg - INFO - Iter [6900/160000] lr: 9.114e-06, eta: 1 day, 1:29:29, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.9468, decode.loss_mask: 0.8112, decode.loss_dice: 1.1826, decode.d0.loss_cls: 2.7613, decode.d0.loss_mask: 0.8301, decode.d0.loss_dice: 1.4376, decode.d1.loss_cls: 1.1913, decode.d1.loss_mask: 0.8311, decode.d1.loss_dice: 1.2593, decode.d2.loss_cls: 1.0296, decode.d2.loss_mask: 0.8230, decode.d2.loss_dice: 1.2083, decode.d3.loss_cls: 0.9941, decode.d3.loss_mask: 0.8055, decode.d3.loss_dice: 1.1878, decode.d4.loss_cls: 0.9809, decode.d4.loss_mask: 0.8080, decode.d4.loss_dice: 1.1881, decode.d5.loss_cls: 0.9717, decode.d5.loss_mask: 0.8109, decode.d5.loss_dice: 1.1823, decode.d6.loss_cls: 0.9515, decode.d6.loss_mask: 0.8100, decode.d6.loss_dice: 1.1724, decode.d7.loss_cls: 0.9476, decode.d7.loss_mask: 0.8102, decode.d7.loss_dice: 1.1787, decode.d8.loss_cls: 0.9467, decode.d8.loss_mask: 0.8128, decode.d8.loss_dice: 1.1779, loss: 32.0494, grad_norm: 84.0541 2023-11-21 22:24:51,496 - mmseg - INFO - Iter [6950/160000] lr: 9.111e-06, eta: 1 day, 1:28:23, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.9776, decode.loss_mask: 0.7938, decode.loss_dice: 1.1711, decode.d0.loss_cls: 2.8325, decode.d0.loss_mask: 0.8207, decode.d0.loss_dice: 1.4408, decode.d1.loss_cls: 1.2392, decode.d1.loss_mask: 0.8217, decode.d1.loss_dice: 1.2553, decode.d2.loss_cls: 1.0728, decode.d2.loss_mask: 0.8039, decode.d2.loss_dice: 1.1998, decode.d3.loss_cls: 1.0373, decode.d3.loss_mask: 0.7928, decode.d3.loss_dice: 1.1745, decode.d4.loss_cls: 1.0110, decode.d4.loss_mask: 0.7934, decode.d4.loss_dice: 1.1757, decode.d5.loss_cls: 0.9910, decode.d5.loss_mask: 0.7924, decode.d5.loss_dice: 1.1678, decode.d6.loss_cls: 0.9797, decode.d6.loss_mask: 0.8031, decode.d6.loss_dice: 1.1668, decode.d7.loss_cls: 0.9706, decode.d7.loss_mask: 0.8048, decode.d7.loss_dice: 1.1674, decode.d8.loss_cls: 0.9708, decode.d8.loss_mask: 0.7995, decode.d8.loss_dice: 1.1743, loss: 32.2020, grad_norm: 82.6077 2023-11-21 22:25:19,878 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-21 22:25:19,878 - mmseg - INFO - Iter [7000/160000] lr: 9.108e-06, eta: 1 day, 1:27:19, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.9690, decode.loss_mask: 0.7677, decode.loss_dice: 1.1695, decode.d0.loss_cls: 2.8042, decode.d0.loss_mask: 0.7867, decode.d0.loss_dice: 1.4277, decode.d1.loss_cls: 1.2226, decode.d1.loss_mask: 0.7884, decode.d1.loss_dice: 1.2580, decode.d2.loss_cls: 1.0466, decode.d2.loss_mask: 0.7701, decode.d2.loss_dice: 1.1983, decode.d3.loss_cls: 1.0034, decode.d3.loss_mask: 0.7692, decode.d3.loss_dice: 1.1800, decode.d4.loss_cls: 0.9959, decode.d4.loss_mask: 0.7655, decode.d4.loss_dice: 1.1813, decode.d5.loss_cls: 0.9923, decode.d5.loss_mask: 0.7667, decode.d5.loss_dice: 1.1719, decode.d6.loss_cls: 0.9753, decode.d6.loss_mask: 0.7645, decode.d6.loss_dice: 1.1723, decode.d7.loss_cls: 0.9635, decode.d7.loss_mask: 0.7793, decode.d7.loss_dice: 1.1761, decode.d8.loss_cls: 0.9616, decode.d8.loss_mask: 0.7726, decode.d8.loss_dice: 1.1787, loss: 31.7790, grad_norm: 77.5732 2023-11-21 22:25:48,250 - mmseg - INFO - Iter [7050/160000] lr: 9.105e-06, eta: 1 day, 1:26:15, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.9567, decode.loss_mask: 0.7800, decode.loss_dice: 1.1672, decode.d0.loss_cls: 2.8012, decode.d0.loss_mask: 0.8138, decode.d0.loss_dice: 1.4467, decode.d1.loss_cls: 1.2134, decode.d1.loss_mask: 0.8092, decode.d1.loss_dice: 1.2540, decode.d2.loss_cls: 1.0426, decode.d2.loss_mask: 0.7924, decode.d2.loss_dice: 1.1933, decode.d3.loss_cls: 0.9899, decode.d3.loss_mask: 0.7855, decode.d3.loss_dice: 1.1835, decode.d4.loss_cls: 0.9689, decode.d4.loss_mask: 0.7905, decode.d4.loss_dice: 1.1894, decode.d5.loss_cls: 0.9675, decode.d5.loss_mask: 0.7865, decode.d5.loss_dice: 1.1791, decode.d6.loss_cls: 0.9631, decode.d6.loss_mask: 0.7851, decode.d6.loss_dice: 1.1775, decode.d7.loss_cls: 0.9616, decode.d7.loss_mask: 0.7837, decode.d7.loss_dice: 1.1754, decode.d8.loss_cls: 0.9521, decode.d8.loss_mask: 0.7839, decode.d8.loss_dice: 1.1797, loss: 31.8736, grad_norm: 83.5094 2023-11-21 22:26:16,865 - mmseg - INFO - Iter [7100/160000] lr: 9.102e-06, eta: 1 day, 1:25:16, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.9633, decode.loss_mask: 0.8009, decode.loss_dice: 1.1940, decode.d0.loss_cls: 2.8036, decode.d0.loss_mask: 0.8234, decode.d0.loss_dice: 1.4582, decode.d1.loss_cls: 1.2236, decode.d1.loss_mask: 0.8247, decode.d1.loss_dice: 1.2838, decode.d2.loss_cls: 1.0563, decode.d2.loss_mask: 0.8071, decode.d2.loss_dice: 1.2263, decode.d3.loss_cls: 1.0076, decode.d3.loss_mask: 0.8003, decode.d3.loss_dice: 1.2065, decode.d4.loss_cls: 0.9876, decode.d4.loss_mask: 0.7980, decode.d4.loss_dice: 1.2066, decode.d5.loss_cls: 0.9765, decode.d5.loss_mask: 0.8018, decode.d5.loss_dice: 1.2068, decode.d6.loss_cls: 0.9704, decode.d6.loss_mask: 0.7963, decode.d6.loss_dice: 1.1999, decode.d7.loss_cls: 0.9603, decode.d7.loss_mask: 0.8002, decode.d7.loss_dice: 1.2057, decode.d8.loss_cls: 0.9625, decode.d8.loss_mask: 0.8021, decode.d8.loss_dice: 1.1966, loss: 32.3506, grad_norm: 82.5920 2023-11-21 22:26:45,698 - mmseg - INFO - Iter [7150/160000] lr: 9.099e-06, eta: 1 day, 1:24:23, time: 0.577, data_time: 0.014, memory: 38143, decode.loss_cls: 0.9480, decode.loss_mask: 0.7990, decode.loss_dice: 1.1782, decode.d0.loss_cls: 2.7579, decode.d0.loss_mask: 0.8246, decode.d0.loss_dice: 1.4569, decode.d1.loss_cls: 1.2194, decode.d1.loss_mask: 0.8187, decode.d1.loss_dice: 1.2741, decode.d2.loss_cls: 1.0406, decode.d2.loss_mask: 0.7986, decode.d2.loss_dice: 1.2086, decode.d3.loss_cls: 0.9845, decode.d3.loss_mask: 0.7966, decode.d3.loss_dice: 1.1940, decode.d4.loss_cls: 0.9699, decode.d4.loss_mask: 0.7963, decode.d4.loss_dice: 1.2036, decode.d5.loss_cls: 0.9520, decode.d5.loss_mask: 0.7977, decode.d5.loss_dice: 1.1947, decode.d6.loss_cls: 0.9507, decode.d6.loss_mask: 0.7915, decode.d6.loss_dice: 1.1821, decode.d7.loss_cls: 0.9501, decode.d7.loss_mask: 0.7970, decode.d7.loss_dice: 1.1800, decode.d8.loss_cls: 0.9437, decode.d8.loss_mask: 0.7982, decode.d8.loss_dice: 1.1781, loss: 31.9855, grad_norm: 82.4481 2023-11-21 22:27:13,976 - mmseg - INFO - Iter [7200/160000] lr: 9.096e-06, eta: 1 day, 1:23:18, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.9407, decode.loss_mask: 0.7747, decode.loss_dice: 1.1496, decode.d0.loss_cls: 2.7375, decode.d0.loss_mask: 0.7933, decode.d0.loss_dice: 1.4102, decode.d1.loss_cls: 1.1911, decode.d1.loss_mask: 0.7901, decode.d1.loss_dice: 1.2277, decode.d2.loss_cls: 1.0248, decode.d2.loss_mask: 0.7811, decode.d2.loss_dice: 1.1866, decode.d3.loss_cls: 0.9787, decode.d3.loss_mask: 0.7753, decode.d3.loss_dice: 1.1590, decode.d4.loss_cls: 0.9603, decode.d4.loss_mask: 0.7759, decode.d4.loss_dice: 1.1634, decode.d5.loss_cls: 0.9565, decode.d5.loss_mask: 0.7749, decode.d5.loss_dice: 1.1593, decode.d6.loss_cls: 0.9458, decode.d6.loss_mask: 0.7704, decode.d6.loss_dice: 1.1383, decode.d7.loss_cls: 0.9336, decode.d7.loss_mask: 0.7718, decode.d7.loss_dice: 1.1472, decode.d8.loss_cls: 0.9332, decode.d8.loss_mask: 0.7737, decode.d8.loss_dice: 1.1552, loss: 31.2801, grad_norm: 79.4551 2023-11-21 22:27:42,293 - mmseg - INFO - Iter [7250/160000] lr: 9.093e-06, eta: 1 day, 1:22:15, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.9126, decode.loss_mask: 0.7959, decode.loss_dice: 1.1657, decode.d0.loss_cls: 2.6674, decode.d0.loss_mask: 0.8165, decode.d0.loss_dice: 1.3948, decode.d1.loss_cls: 1.1435, decode.d1.loss_mask: 0.8229, decode.d1.loss_dice: 1.2329, decode.d2.loss_cls: 0.9945, decode.d2.loss_mask: 0.8040, decode.d2.loss_dice: 1.1854, decode.d3.loss_cls: 0.9515, decode.d3.loss_mask: 0.8063, decode.d3.loss_dice: 1.1683, decode.d4.loss_cls: 0.9321, decode.d4.loss_mask: 0.8057, decode.d4.loss_dice: 1.1729, decode.d5.loss_cls: 0.9315, decode.d5.loss_mask: 0.8003, decode.d5.loss_dice: 1.1643, decode.d6.loss_cls: 0.9203, decode.d6.loss_mask: 0.7927, decode.d6.loss_dice: 1.1606, decode.d7.loss_cls: 0.9178, decode.d7.loss_mask: 0.7995, decode.d7.loss_dice: 1.1637, decode.d8.loss_cls: 0.9116, decode.d8.loss_mask: 0.8021, decode.d8.loss_dice: 1.1684, loss: 31.3054, grad_norm: 83.7728 2023-11-21 22:28:10,575 - mmseg - INFO - Iter [7300/160000] lr: 9.090e-06, eta: 1 day, 1:21:11, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.9169, decode.loss_mask: 0.7888, decode.loss_dice: 1.1303, decode.d0.loss_cls: 2.7028, decode.d0.loss_mask: 0.8157, decode.d0.loss_dice: 1.3922, decode.d1.loss_cls: 1.1727, decode.d1.loss_mask: 0.8158, decode.d1.loss_dice: 1.2098, decode.d2.loss_cls: 1.0085, decode.d2.loss_mask: 0.8000, decode.d2.loss_dice: 1.1523, decode.d3.loss_cls: 0.9528, decode.d3.loss_mask: 0.7911, decode.d3.loss_dice: 1.1363, decode.d4.loss_cls: 0.9381, decode.d4.loss_mask: 0.7954, decode.d4.loss_dice: 1.1500, decode.d5.loss_cls: 0.9414, decode.d5.loss_mask: 0.7878, decode.d5.loss_dice: 1.1320, decode.d6.loss_cls: 0.9300, decode.d6.loss_mask: 0.7932, decode.d6.loss_dice: 1.1343, decode.d7.loss_cls: 0.9226, decode.d7.loss_mask: 0.7953, decode.d7.loss_dice: 1.1377, decode.d8.loss_cls: 0.9177, decode.d8.loss_mask: 0.7956, decode.d8.loss_dice: 1.1313, loss: 31.0883, grad_norm: 87.1277 2023-11-21 22:28:38,833 - mmseg - INFO - Iter [7350/160000] lr: 9.087e-06, eta: 1 day, 1:20:08, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.9523, decode.loss_mask: 0.8076, decode.loss_dice: 1.1572, decode.d0.loss_cls: 2.6732, decode.d0.loss_mask: 0.8296, decode.d0.loss_dice: 1.4092, decode.d1.loss_cls: 1.1930, decode.d1.loss_mask: 0.8327, decode.d1.loss_dice: 1.2339, decode.d2.loss_cls: 1.0385, decode.d2.loss_mask: 0.8202, decode.d2.loss_dice: 1.1886, decode.d3.loss_cls: 0.9988, decode.d3.loss_mask: 0.8080, decode.d3.loss_dice: 1.1648, decode.d4.loss_cls: 0.9694, decode.d4.loss_mask: 0.8169, decode.d4.loss_dice: 1.1791, decode.d5.loss_cls: 0.9607, decode.d5.loss_mask: 0.8081, decode.d5.loss_dice: 1.1743, decode.d6.loss_cls: 0.9468, decode.d6.loss_mask: 0.8108, decode.d6.loss_dice: 1.1584, decode.d7.loss_cls: 0.9496, decode.d7.loss_mask: 0.8105, decode.d7.loss_dice: 1.1602, decode.d8.loss_cls: 0.9468, decode.d8.loss_mask: 0.8088, decode.d8.loss_dice: 1.1508, loss: 31.7589, grad_norm: 85.6339 2023-11-21 22:29:07,743 - mmseg - INFO - Iter [7400/160000] lr: 9.084e-06, eta: 1 day, 1:19:18, time: 0.578, data_time: 0.014, memory: 38143, decode.loss_cls: 0.9207, decode.loss_mask: 0.7541, decode.loss_dice: 1.1401, decode.d0.loss_cls: 2.6847, decode.d0.loss_mask: 0.7694, decode.d0.loss_dice: 1.3791, decode.d1.loss_cls: 1.1409, decode.d1.loss_mask: 0.7804, decode.d1.loss_dice: 1.2205, decode.d2.loss_cls: 0.9953, decode.d2.loss_mask: 0.7610, decode.d2.loss_dice: 1.1607, decode.d3.loss_cls: 0.9599, decode.d3.loss_mask: 0.7495, decode.d3.loss_dice: 1.1444, decode.d4.loss_cls: 0.9372, decode.d4.loss_mask: 0.7526, decode.d4.loss_dice: 1.1439, decode.d5.loss_cls: 0.9333, decode.d5.loss_mask: 0.7598, decode.d5.loss_dice: 1.1374, decode.d6.loss_cls: 0.9248, decode.d6.loss_mask: 0.7553, decode.d6.loss_dice: 1.1309, decode.d7.loss_cls: 0.9292, decode.d7.loss_mask: 0.7527, decode.d7.loss_dice: 1.1428, decode.d8.loss_cls: 0.9310, decode.d8.loss_mask: 0.7533, decode.d8.loss_dice: 1.1387, loss: 30.6837, grad_norm: 77.3766 2023-11-21 22:29:36,210 - mmseg - INFO - Iter [7450/160000] lr: 9.081e-06, eta: 1 day, 1:18:19, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.9186, decode.loss_mask: 0.7997, decode.loss_dice: 1.1590, decode.d0.loss_cls: 2.6560, decode.d0.loss_mask: 0.8161, decode.d0.loss_dice: 1.3997, decode.d1.loss_cls: 1.1599, decode.d1.loss_mask: 0.8258, decode.d1.loss_dice: 1.2288, decode.d2.loss_cls: 0.9961, decode.d2.loss_mask: 0.8035, decode.d2.loss_dice: 1.1820, decode.d3.loss_cls: 0.9563, decode.d3.loss_mask: 0.7962, decode.d3.loss_dice: 1.1594, decode.d4.loss_cls: 0.9433, decode.d4.loss_mask: 0.7994, decode.d4.loss_dice: 1.1632, decode.d5.loss_cls: 0.9283, decode.d5.loss_mask: 0.7963, decode.d5.loss_dice: 1.1670, decode.d6.loss_cls: 0.9236, decode.d6.loss_mask: 0.7925, decode.d6.loss_dice: 1.1529, decode.d7.loss_cls: 0.9178, decode.d7.loss_mask: 0.7994, decode.d7.loss_dice: 1.1517, decode.d8.loss_cls: 0.9205, decode.d8.loss_mask: 0.7945, decode.d8.loss_dice: 1.1581, loss: 31.2658, grad_norm: 81.0342 2023-11-21 22:30:04,703 - mmseg - INFO - Iter [7500/160000] lr: 9.078e-06, eta: 1 day, 1:17:22, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.9019, decode.loss_mask: 0.7920, decode.loss_dice: 1.1425, decode.d0.loss_cls: 2.6654, decode.d0.loss_mask: 0.8092, decode.d0.loss_dice: 1.3868, decode.d1.loss_cls: 1.1487, decode.d1.loss_mask: 0.8042, decode.d1.loss_dice: 1.2286, decode.d2.loss_cls: 0.9914, decode.d2.loss_mask: 0.7877, decode.d2.loss_dice: 1.1637, decode.d3.loss_cls: 0.9462, decode.d3.loss_mask: 0.7863, decode.d3.loss_dice: 1.1416, decode.d4.loss_cls: 0.9348, decode.d4.loss_mask: 0.7874, decode.d4.loss_dice: 1.1447, decode.d5.loss_cls: 0.9239, decode.d5.loss_mask: 0.7897, decode.d5.loss_dice: 1.1490, decode.d6.loss_cls: 0.9076, decode.d6.loss_mask: 0.7919, decode.d6.loss_dice: 1.1402, decode.d7.loss_cls: 0.9068, decode.d7.loss_mask: 0.7919, decode.d7.loss_dice: 1.1419, decode.d8.loss_cls: 0.8993, decode.d8.loss_mask: 0.7917, decode.d8.loss_dice: 1.1428, loss: 30.9394, grad_norm: 83.8093 2023-11-21 22:30:33,270 - mmseg - INFO - Iter [7550/160000] lr: 9.075e-06, eta: 1 day, 1:16:26, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.9117, decode.loss_mask: 0.7788, decode.loss_dice: 1.1560, decode.d0.loss_cls: 2.6372, decode.d0.loss_mask: 0.7987, decode.d0.loss_dice: 1.4127, decode.d1.loss_cls: 1.1575, decode.d1.loss_mask: 0.8051, decode.d1.loss_dice: 1.2482, decode.d2.loss_cls: 1.0137, decode.d2.loss_mask: 0.7850, decode.d2.loss_dice: 1.1804, decode.d3.loss_cls: 0.9607, decode.d3.loss_mask: 0.7762, decode.d3.loss_dice: 1.1575, decode.d4.loss_cls: 0.9407, decode.d4.loss_mask: 0.7763, decode.d4.loss_dice: 1.1645, decode.d5.loss_cls: 0.9340, decode.d5.loss_mask: 0.7809, decode.d5.loss_dice: 1.1575, decode.d6.loss_cls: 0.9241, decode.d6.loss_mask: 0.7706, decode.d6.loss_dice: 1.1419, decode.d7.loss_cls: 0.9196, decode.d7.loss_mask: 0.7746, decode.d7.loss_dice: 1.1482, decode.d8.loss_cls: 0.9202, decode.d8.loss_mask: 0.7760, decode.d8.loss_dice: 1.1519, loss: 31.0605, grad_norm: 83.3471 2023-11-21 22:31:04,107 - mmseg - INFO - Iter [7600/160000] lr: 9.072e-06, eta: 1 day, 1:16:16, time: 0.617, data_time: 0.061, memory: 38143, decode.loss_cls: 0.9002, decode.loss_mask: 0.7998, decode.loss_dice: 1.1660, decode.d0.loss_cls: 2.6452, decode.d0.loss_mask: 0.8154, decode.d0.loss_dice: 1.4100, decode.d1.loss_cls: 1.1411, decode.d1.loss_mask: 0.8232, decode.d1.loss_dice: 1.2411, decode.d2.loss_cls: 0.9740, decode.d2.loss_mask: 0.8092, decode.d2.loss_dice: 1.1851, decode.d3.loss_cls: 0.9401, decode.d3.loss_mask: 0.7931, decode.d3.loss_dice: 1.1653, decode.d4.loss_cls: 0.9301, decode.d4.loss_mask: 0.7962, decode.d4.loss_dice: 1.1686, decode.d5.loss_cls: 0.9184, decode.d5.loss_mask: 0.8004, decode.d5.loss_dice: 1.1681, decode.d6.loss_cls: 0.9066, decode.d6.loss_mask: 0.7931, decode.d6.loss_dice: 1.1666, decode.d7.loss_cls: 0.9055, decode.d7.loss_mask: 0.7936, decode.d7.loss_dice: 1.1650, decode.d8.loss_cls: 0.8998, decode.d8.loss_mask: 0.7981, decode.d8.loss_dice: 1.1754, loss: 31.1942, grad_norm: 84.1213 2023-11-21 22:31:32,719 - mmseg - INFO - Iter [7650/160000] lr: 9.070e-06, eta: 1 day, 1:15:19, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.9123, decode.loss_mask: 0.7858, decode.loss_dice: 1.1623, decode.d0.loss_cls: 2.6647, decode.d0.loss_mask: 0.8199, decode.d0.loss_dice: 1.4170, decode.d1.loss_cls: 1.1584, decode.d1.loss_mask: 0.8148, decode.d1.loss_dice: 1.2536, decode.d2.loss_cls: 1.0005, decode.d2.loss_mask: 0.7987, decode.d2.loss_dice: 1.1885, decode.d3.loss_cls: 0.9474, decode.d3.loss_mask: 0.7949, decode.d3.loss_dice: 1.1741, decode.d4.loss_cls: 0.9417, decode.d4.loss_mask: 0.7949, decode.d4.loss_dice: 1.1697, decode.d5.loss_cls: 0.9327, decode.d5.loss_mask: 0.7918, decode.d5.loss_dice: 1.1653, decode.d6.loss_cls: 0.9192, decode.d6.loss_mask: 0.7875, decode.d6.loss_dice: 1.1565, decode.d7.loss_cls: 0.9109, decode.d7.loss_mask: 0.7869, decode.d7.loss_dice: 1.1624, decode.d8.loss_cls: 0.9114, decode.d8.loss_mask: 0.7933, decode.d8.loss_dice: 1.1651, loss: 31.2819, grad_norm: 77.8819 2023-11-21 22:32:01,229 - mmseg - INFO - Iter [7700/160000] lr: 9.067e-06, eta: 1 day, 1:14:25, time: 0.572, data_time: 0.015, memory: 38143, decode.loss_cls: 0.8885, decode.loss_mask: 0.7798, decode.loss_dice: 1.1327, decode.d0.loss_cls: 2.6471, decode.d0.loss_mask: 0.7933, decode.d0.loss_dice: 1.3634, decode.d1.loss_cls: 1.1470, decode.d1.loss_mask: 0.7968, decode.d1.loss_dice: 1.2130, decode.d2.loss_cls: 0.9740, decode.d2.loss_mask: 0.7878, decode.d2.loss_dice: 1.1679, decode.d3.loss_cls: 0.9344, decode.d3.loss_mask: 0.7786, decode.d3.loss_dice: 1.1456, decode.d4.loss_cls: 0.9179, decode.d4.loss_mask: 0.7785, decode.d4.loss_dice: 1.1480, decode.d5.loss_cls: 0.9086, decode.d5.loss_mask: 0.7805, decode.d5.loss_dice: 1.1421, decode.d6.loss_cls: 0.9013, decode.d6.loss_mask: 0.7795, decode.d6.loss_dice: 1.1312, decode.d7.loss_cls: 0.8977, decode.d7.loss_mask: 0.7822, decode.d7.loss_dice: 1.1274, decode.d8.loss_cls: 0.8923, decode.d8.loss_mask: 0.7811, decode.d8.loss_dice: 1.1366, loss: 30.6550, grad_norm: 82.9024 2023-11-21 22:32:29,523 - mmseg - INFO - Iter [7750/160000] lr: 9.064e-06, eta: 1 day, 1:13:25, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.9156, decode.loss_mask: 0.7598, decode.loss_dice: 1.1305, decode.d0.loss_cls: 2.6401, decode.d0.loss_mask: 0.7897, decode.d0.loss_dice: 1.3883, decode.d1.loss_cls: 1.1380, decode.d1.loss_mask: 0.7888, decode.d1.loss_dice: 1.2205, decode.d2.loss_cls: 0.9803, decode.d2.loss_mask: 0.7716, decode.d2.loss_dice: 1.1737, decode.d3.loss_cls: 0.9376, decode.d3.loss_mask: 0.7619, decode.d3.loss_dice: 1.1500, decode.d4.loss_cls: 0.9155, decode.d4.loss_mask: 0.7693, decode.d4.loss_dice: 1.1516, decode.d5.loss_cls: 0.9091, decode.d5.loss_mask: 0.7579, decode.d5.loss_dice: 1.1466, decode.d6.loss_cls: 0.9057, decode.d6.loss_mask: 0.7625, decode.d6.loss_dice: 1.1347, decode.d7.loss_cls: 0.9013, decode.d7.loss_mask: 0.7621, decode.d7.loss_dice: 1.1358, decode.d8.loss_cls: 0.9077, decode.d8.loss_mask: 0.7666, decode.d8.loss_dice: 1.1348, loss: 30.6079, grad_norm: 81.3179 2023-11-21 22:32:57,995 - mmseg - INFO - Iter [7800/160000] lr: 9.061e-06, eta: 1 day, 1:12:29, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.8974, decode.loss_mask: 0.7862, decode.loss_dice: 1.1604, decode.d0.loss_cls: 2.6466, decode.d0.loss_mask: 0.8135, decode.d0.loss_dice: 1.4036, decode.d1.loss_cls: 1.1446, decode.d1.loss_mask: 0.8126, decode.d1.loss_dice: 1.2347, decode.d2.loss_cls: 0.9758, decode.d2.loss_mask: 0.7934, decode.d2.loss_dice: 1.1817, decode.d3.loss_cls: 0.9338, decode.d3.loss_mask: 0.7820, decode.d3.loss_dice: 1.1533, decode.d4.loss_cls: 0.9204, decode.d4.loss_mask: 0.7819, decode.d4.loss_dice: 1.1624, decode.d5.loss_cls: 0.9104, decode.d5.loss_mask: 0.7788, decode.d5.loss_dice: 1.1565, decode.d6.loss_cls: 0.9045, decode.d6.loss_mask: 0.7788, decode.d6.loss_dice: 1.1514, decode.d7.loss_cls: 0.9040, decode.d7.loss_mask: 0.7857, decode.d7.loss_dice: 1.1527, decode.d8.loss_cls: 0.8902, decode.d8.loss_mask: 0.7924, decode.d8.loss_dice: 1.1540, loss: 30.9435, grad_norm: 77.7342 2023-11-21 22:33:26,269 - mmseg - INFO - Iter [7850/160000] lr: 9.058e-06, eta: 1 day, 1:11:29, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.8571, decode.loss_mask: 0.7910, decode.loss_dice: 1.1297, decode.d0.loss_cls: 2.5352, decode.d0.loss_mask: 0.8277, decode.d0.loss_dice: 1.3629, decode.d1.loss_cls: 1.0872, decode.d1.loss_mask: 0.8207, decode.d1.loss_dice: 1.2115, decode.d2.loss_cls: 0.9418, decode.d2.loss_mask: 0.7933, decode.d2.loss_dice: 1.1509, decode.d3.loss_cls: 0.9061, decode.d3.loss_mask: 0.7909, decode.d3.loss_dice: 1.1333, decode.d4.loss_cls: 0.8972, decode.d4.loss_mask: 0.7926, decode.d4.loss_dice: 1.1312, decode.d5.loss_cls: 0.8752, decode.d5.loss_mask: 0.7940, decode.d5.loss_dice: 1.1292, decode.d6.loss_cls: 0.8692, decode.d6.loss_mask: 0.7963, decode.d6.loss_dice: 1.1251, decode.d7.loss_cls: 0.8661, decode.d7.loss_mask: 0.7933, decode.d7.loss_dice: 1.1355, decode.d8.loss_cls: 0.8567, decode.d8.loss_mask: 0.7963, decode.d8.loss_dice: 1.1314, loss: 30.3287, grad_norm: 81.9387 2023-11-21 22:33:54,591 - mmseg - INFO - Iter [7900/160000] lr: 9.055e-06, eta: 1 day, 1:10:31, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.9119, decode.loss_mask: 0.8025, decode.loss_dice: 1.1610, decode.d0.loss_cls: 2.5866, decode.d0.loss_mask: 0.8223, decode.d0.loss_dice: 1.4092, decode.d1.loss_cls: 1.1371, decode.d1.loss_mask: 0.8316, decode.d1.loss_dice: 1.2488, decode.d2.loss_cls: 0.9885, decode.d2.loss_mask: 0.8079, decode.d2.loss_dice: 1.1967, decode.d3.loss_cls: 0.9533, decode.d3.loss_mask: 0.8003, decode.d3.loss_dice: 1.1627, decode.d4.loss_cls: 0.9392, decode.d4.loss_mask: 0.8036, decode.d4.loss_dice: 1.1645, decode.d5.loss_cls: 0.9290, decode.d5.loss_mask: 0.8006, decode.d5.loss_dice: 1.1639, decode.d6.loss_cls: 0.9173, decode.d6.loss_mask: 0.8051, decode.d6.loss_dice: 1.1577, decode.d7.loss_cls: 0.9250, decode.d7.loss_mask: 0.8024, decode.d7.loss_dice: 1.1661, decode.d8.loss_cls: 0.9180, decode.d8.loss_mask: 0.8010, decode.d8.loss_dice: 1.1570, loss: 31.2709, grad_norm: 80.0485 2023-11-21 22:34:23,732 - mmseg - INFO - Iter [7950/160000] lr: 9.052e-06, eta: 1 day, 1:09:47, time: 0.581, data_time: 0.014, memory: 38143, decode.loss_cls: 0.9083, decode.loss_mask: 0.7874, decode.loss_dice: 1.1471, decode.d0.loss_cls: 2.5755, decode.d0.loss_mask: 0.8221, decode.d0.loss_dice: 1.3945, decode.d1.loss_cls: 1.1319, decode.d1.loss_mask: 0.8216, decode.d1.loss_dice: 1.2313, decode.d2.loss_cls: 0.9728, decode.d2.loss_mask: 0.8046, decode.d2.loss_dice: 1.1742, decode.d3.loss_cls: 0.9405, decode.d3.loss_mask: 0.7978, decode.d3.loss_dice: 1.1497, decode.d4.loss_cls: 0.9226, decode.d4.loss_mask: 0.8006, decode.d4.loss_dice: 1.1521, decode.d5.loss_cls: 0.9137, decode.d5.loss_mask: 0.7982, decode.d5.loss_dice: 1.1545, decode.d6.loss_cls: 0.9090, decode.d6.loss_mask: 0.7893, decode.d6.loss_dice: 1.1432, decode.d7.loss_cls: 0.9043, decode.d7.loss_mask: 0.7947, decode.d7.loss_dice: 1.1454, decode.d8.loss_cls: 0.9006, decode.d8.loss_mask: 0.7925, decode.d8.loss_dice: 1.1504, loss: 30.9305, grad_norm: 82.5081 2023-11-21 22:34:52,844 - mmseg - INFO - Saving checkpoint at 8000 iterations 2023-11-21 22:35:01,469 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-21 22:35:01,470 - mmseg - INFO - Iter [8000/160000] lr: 9.049e-06, eta: 1 day, 1:11:50, time: 0.757, data_time: 0.016, memory: 38143, decode.loss_cls: 0.8827, decode.loss_mask: 0.7547, decode.loss_dice: 1.1573, decode.d0.loss_cls: 2.5548, decode.d0.loss_mask: 0.7826, decode.d0.loss_dice: 1.3943, decode.d1.loss_cls: 1.1055, decode.d1.loss_mask: 0.7755, decode.d1.loss_dice: 1.2348, decode.d2.loss_cls: 0.9559, decode.d2.loss_mask: 0.7654, decode.d2.loss_dice: 1.1797, decode.d3.loss_cls: 0.9251, decode.d3.loss_mask: 0.7589, decode.d3.loss_dice: 1.1568, decode.d4.loss_cls: 0.9109, decode.d4.loss_mask: 0.7533, decode.d4.loss_dice: 1.1633, decode.d5.loss_cls: 0.9012, decode.d5.loss_mask: 0.7552, decode.d5.loss_dice: 1.1610, decode.d6.loss_cls: 0.8947, decode.d6.loss_mask: 0.7536, decode.d6.loss_dice: 1.1526, decode.d7.loss_cls: 0.8839, decode.d7.loss_mask: 0.7553, decode.d7.loss_dice: 1.1619, decode.d8.loss_cls: 0.8814, decode.d8.loss_mask: 0.7578, decode.d8.loss_dice: 1.1634, loss: 30.4335, grad_norm: 81.2597 2023-11-21 22:35:21,081 - mmseg - INFO - per class results: 2023-11-21 22:35:21,086 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 77.61 | 87.88 | | building | 82.38 | 91.99 | | sky | 94.37 | 97.07 | | floor | 81.56 | 92.08 | | tree | 74.94 | 88.82 | | ceiling | 84.9 | 90.52 | | road | 79.06 | 86.17 | | bed | 90.77 | 96.23 | | windowpane | 61.74 | 79.57 | | grass | 58.36 | 78.86 | | cabinet | 62.86 | 79.07 | | sidewalk | 58.63 | 82.55 | | person | 83.69 | 92.68 | | earth | 34.14 | 42.48 | | door | 46.07 | 76.8 | | table | 60.57 | 73.96 | | mountain | 52.92 | 64.22 | | plant | 53.59 | 69.63 | | curtain | 73.19 | 89.93 | | chair | 58.85 | 72.14 | | car | 86.86 | 92.16 | | water | 48.76 | 69.8 | | painting | 69.36 | 90.65 | | sofa | 68.55 | 87.33 | | shelf | 39.44 | 78.46 | | house | 15.89 | 19.96 | | sea | 51.79 | 76.22 | | mirror | 71.75 | 80.81 | | rug | 58.5 | 63.3 | | field | 17.71 | 34.97 | | armchair | 38.61 | 57.88 | | seat | 52.09 | 82.12 | | fence | 32.12 | 46.01 | | desk | 30.83 | 49.28 | | rock | 41.99 | 77.64 | | wardrobe | 17.03 | 18.09 | | lamp | 66.8 | 78.92 | | bathtub | 77.84 | 82.64 | | railing | 29.37 | 59.48 | | cushion | 66.04 | 77.55 | | base | 6.11 | 9.91 | | box | 28.07 | 49.7 | | column | 50.81 | 73.49 | | signboard | 36.45 | 61.92 | | chest of drawers | 42.65 | 63.27 | | counter | 27.65 | 45.21 | | sand | 30.92 | 35.8 | | sink | 72.92 | 82.17 | | skyscraper | 53.68 | 71.81 | | fireplace | 71.8 | 90.12 | | refrigerator | 74.7 | 81.65 | | grandstand | 47.99 | 50.2 | | path | 16.79 | 24.91 | | stairs | 38.39 | 56.31 | | runway | 10.35 | 10.35 | | case | 3.54 | 3.56 | | pool table | 94.0 | 96.59 | | pillow | 63.69 | 76.04 | | screen door | 6.31 | 6.33 | | stairway | 24.22 | 37.61 | | river | 8.22 | 10.97 | | bridge | 31.91 | 36.28 | | bookcase | 21.79 | 22.96 | | blind | 5.57 | 5.68 | | coffee table | 64.48 | 85.55 | | toilet | 87.83 | 90.44 | | flower | 38.51 | 64.03 | | book | 51.14 | 78.38 | | hill | 2.02 | 2.41 | | bench | 33.0 | 40.25 | | countertop | 47.53 | 75.76 | | stove | 67.2 | 88.25 | | palm | 48.05 | 82.77 | | kitchen island | 14.73 | 20.76 | | computer | 74.33 | 86.58 | | swivel chair | 41.1 | 77.33 | | boat | 66.53 | 90.27 | | bar | 0.0 | 0.0 | | arcade machine | 0.0 | 0.0 | | hovel | 0.0 | 0.0 | | bus | 87.43 | 89.02 | | towel | 67.75 | 85.43 | | light | 58.7 | 69.07 | | truck | 34.56 | 49.57 | | tower | 1.89 | 2.22 | | chandelier | 65.89 | 84.2 | | awning | 37.45 | 54.86 | | streetlight | 32.77 | 45.3 | | booth | 0.0 | 0.0 | | television receiver | 62.21 | 77.7 | | airplane | 60.94 | 67.16 | | dirt track | 0.0 | 0.0 | | apparel | 31.39 | 69.56 | | pole | 31.74 | 54.1 | | land | 0.0 | 0.0 | | bannister | 7.46 | 12.59 | | escalator | 0.0 | 0.0 | | ottoman | 44.82 | 53.07 | | bottle | 27.35 | 41.07 | | buffet | 0.0 | 0.0 | | poster | 23.1 | 43.99 | | stage | 0.0 | 0.0 | | van | 41.43 | 76.58 | | ship | 0.0 | 0.0 | | fountain | 0.0 | 0.0 | | conveyer belt | 0.0 | 0.0 | | canopy | 0.0 | 0.0 | | washer | 0.0 | 0.0 | | plaything | 17.78 | 22.63 | | swimming pool | 20.88 | 20.88 | | stool | 41.22 | 50.49 | | barrel | 0.0 | 0.0 | | basket | 24.19 | 44.63 | | waterfall | 52.37 | 81.47 | | tent | 0.0 | 0.0 | | bag | 13.51 | 38.96 | | minibike | 56.46 | 69.98 | | cradle | 0.0 | 0.0 | | oven | 2.27 | 2.47 | | ball | 0.0 | 0.0 | | food | 2.69 | 2.69 | | step | 0.0 | 0.0 | | tank | 0.0 | 0.0 | | trade name | 30.92 | 50.27 | | microwave | 39.72 | 44.2 | | pot | 35.07 | 45.12 | | animal | 31.9 | 33.45 | | bicycle | 43.6 | 90.13 | | lake | 0.0 | 0.0 | | dishwasher | 51.6 | 79.03 | | screen | 53.51 | 62.12 | | blanket | 5.01 | 5.37 | | sculpture | 23.62 | 79.34 | | hood | 64.14 | 78.31 | | sconce | 41.94 | 63.84 | | vase | 46.29 | 73.6 | | traffic light | 34.43 | 69.29 | | tray | 2.77 | 3.15 | | ashcan | 36.06 | 64.74 | | fan | 57.12 | 77.41 | | pier | 0.0 | 0.0 | | crt screen | 0.06 | 0.2 | | plate | 60.85 | 77.43 | | monitor | 0.0 | 0.0 | | bulletin board | 16.27 | 16.98 | | shower | 0.0 | 0.0 | | radiator | 30.22 | 30.63 | | glass | 21.83 | 26.12 | | clock | 29.55 | 43.19 | | flag | 49.03 | 58.95 | +---------------------+-------+-------+ 2023-11-21 22:35:21,086 - mmseg - INFO - Summary: 2023-11-21 22:35:21,086 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 81.12 | 37.4 | 49.49 | +-------+------+-------+ 2023-11-21 22:35:21,394 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_l_640_160k_ade20k_ss/best_mIoU_iter_6000.pth was removed 2023-11-21 22:35:28,482 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_8000.pth. 2023-11-21 22:35:28,483 - mmseg - INFO - Best mIoU is 0.3740 at 8000 iter. 2023-11-21 22:35:28,483 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-21 22:35:28,483 - mmseg - INFO - Iter(val) [250] aAcc: 0.8112, mIoU: 0.3740, mAcc: 0.4949, IoU.wall: 0.7761, IoU.building: 0.8238, IoU.sky: 0.9437, IoU.floor: 0.8156, IoU.tree: 0.7494, IoU.ceiling: 0.8490, IoU.road: 0.7906, IoU.bed : 0.9077, IoU.windowpane: 0.6174, IoU.grass: 0.5836, IoU.cabinet: 0.6286, IoU.sidewalk: 0.5863, IoU.person: 0.8369, IoU.earth: 0.3414, IoU.door: 0.4607, IoU.table: 0.6057, IoU.mountain: 0.5292, IoU.plant: 0.5359, IoU.curtain: 0.7319, IoU.chair: 0.5885, IoU.car: 0.8686, IoU.water: 0.4876, IoU.painting: 0.6936, IoU.sofa: 0.6855, IoU.shelf: 0.3944, IoU.house: 0.1589, IoU.sea: 0.5179, IoU.mirror: 0.7175, IoU.rug: 0.5850, IoU.field: 0.1771, IoU.armchair: 0.3861, IoU.seat: 0.5209, IoU.fence: 0.3212, IoU.desk: 0.3083, IoU.rock: 0.4199, IoU.wardrobe: 0.1703, IoU.lamp: 0.6680, IoU.bathtub: 0.7784, IoU.railing: 0.2937, IoU.cushion: 0.6604, IoU.base: 0.0611, IoU.box: 0.2807, IoU.column: 0.5081, IoU.signboard: 0.3645, IoU.chest of drawers: 0.4265, IoU.counter: 0.2765, IoU.sand: 0.3092, IoU.sink: 0.7292, IoU.skyscraper: 0.5368, IoU.fireplace: 0.7180, IoU.refrigerator: 0.7470, IoU.grandstand: 0.4799, IoU.path: 0.1679, IoU.stairs: 0.3839, IoU.runway: 0.1035, IoU.case: 0.0354, IoU.pool table: 0.9400, IoU.pillow: 0.6369, IoU.screen door: 0.0631, IoU.stairway: 0.2422, IoU.river: 0.0822, IoU.bridge: 0.3191, IoU.bookcase: 0.2179, IoU.blind: 0.0557, IoU.coffee table: 0.6448, IoU.toilet: 0.8783, IoU.flower: 0.3851, IoU.book: 0.5114, IoU.hill: 0.0202, IoU.bench: 0.3300, IoU.countertop: 0.4753, IoU.stove: 0.6720, IoU.palm: 0.4805, IoU.kitchen island: 0.1473, IoU.computer: 0.7433, IoU.swivel chair: 0.4110, IoU.boat: 0.6653, IoU.bar: 0.0000, IoU.arcade machine: 0.0000, IoU.hovel: 0.0000, IoU.bus: 0.8743, IoU.towel: 0.6775, IoU.light: 0.5870, IoU.truck: 0.3456, IoU.tower: 0.0189, IoU.chandelier: 0.6589, IoU.awning: 0.3745, IoU.streetlight: 0.3277, IoU.booth: 0.0000, IoU.television receiver: 0.6221, IoU.airplane: 0.6094, IoU.dirt track: 0.0000, IoU.apparel: 0.3139, IoU.pole: 0.3174, IoU.land: 0.0000, IoU.bannister: 0.0746, IoU.escalator: 0.0000, IoU.ottoman: 0.4482, IoU.bottle: 0.2735, IoU.buffet: 0.0000, IoU.poster: 0.2310, IoU.stage: 0.0000, IoU.van: 0.4143, IoU.ship: 0.0000, IoU.fountain: 0.0000, IoU.conveyer belt: 0.0000, IoU.canopy: 0.0000, IoU.washer: 0.0000, IoU.plaything: 0.1778, IoU.swimming pool: 0.2088, IoU.stool: 0.4122, IoU.barrel: 0.0000, IoU.basket: 0.2419, IoU.waterfall: 0.5237, IoU.tent: 0.0000, IoU.bag: 0.1351, IoU.minibike: 0.5646, IoU.cradle: 0.0000, IoU.oven: 0.0227, IoU.ball: 0.0000, IoU.food: 0.0269, IoU.step: 0.0000, IoU.tank: 0.0000, IoU.trade name: 0.3092, IoU.microwave: 0.3972, IoU.pot: 0.3507, IoU.animal: 0.3190, IoU.bicycle: 0.4360, IoU.lake: 0.0000, IoU.dishwasher: 0.5160, IoU.screen: 0.5351, IoU.blanket: 0.0501, IoU.sculpture: 0.2362, IoU.hood: 0.6414, IoU.sconce: 0.4194, IoU.vase: 0.4629, IoU.traffic light: 0.3443, IoU.tray: 0.0277, IoU.ashcan: 0.3606, IoU.fan: 0.5712, IoU.pier: 0.0000, IoU.crt screen: 0.0006, IoU.plate: 0.6085, IoU.monitor: 0.0000, IoU.bulletin board: 0.1627, IoU.shower: 0.0000, IoU.radiator: 0.3022, IoU.glass: 0.2183, IoU.clock: 0.2955, IoU.flag: 0.4903, Acc.wall: 0.8788, Acc.building: 0.9199, Acc.sky: 0.9707, Acc.floor: 0.9208, Acc.tree: 0.8882, Acc.ceiling: 0.9052, Acc.road: 0.8617, Acc.bed : 0.9623, Acc.windowpane: 0.7957, Acc.grass: 0.7886, Acc.cabinet: 0.7907, Acc.sidewalk: 0.8255, Acc.person: 0.9268, Acc.earth: 0.4248, Acc.door: 0.7680, Acc.table: 0.7396, Acc.mountain: 0.6422, Acc.plant: 0.6963, Acc.curtain: 0.8993, Acc.chair: 0.7214, Acc.car: 0.9216, Acc.water: 0.6980, Acc.painting: 0.9065, Acc.sofa: 0.8733, Acc.shelf: 0.7846, Acc.house: 0.1996, Acc.sea: 0.7622, Acc.mirror: 0.8081, Acc.rug: 0.6330, Acc.field: 0.3497, Acc.armchair: 0.5788, Acc.seat: 0.8212, Acc.fence: 0.4601, Acc.desk: 0.4928, Acc.rock: 0.7764, Acc.wardrobe: 0.1809, Acc.lamp: 0.7892, Acc.bathtub: 0.8264, Acc.railing: 0.5948, Acc.cushion: 0.7755, Acc.base: 0.0991, Acc.box: 0.4970, Acc.column: 0.7349, Acc.signboard: 0.6192, Acc.chest of drawers: 0.6327, Acc.counter: 0.4521, Acc.sand: 0.3580, Acc.sink: 0.8217, Acc.skyscraper: 0.7181, Acc.fireplace: 0.9012, Acc.refrigerator: 0.8165, Acc.grandstand: 0.5020, Acc.path: 0.2491, Acc.stairs: 0.5631, Acc.runway: 0.1035, Acc.case: 0.0356, Acc.pool table: 0.9659, Acc.pillow: 0.7604, Acc.screen door: 0.0633, Acc.stairway: 0.3761, Acc.river: 0.1097, Acc.bridge: 0.3628, Acc.bookcase: 0.2296, Acc.blind: 0.0568, Acc.coffee table: 0.8555, Acc.toilet: 0.9044, Acc.flower: 0.6403, Acc.book: 0.7838, Acc.hill: 0.0241, Acc.bench: 0.4025, Acc.countertop: 0.7576, Acc.stove: 0.8825, Acc.palm: 0.8277, Acc.kitchen island: 0.2076, Acc.computer: 0.8658, Acc.swivel chair: 0.7733, Acc.boat: 0.9027, Acc.bar: 0.0000, Acc.arcade machine: 0.0000, Acc.hovel: 0.0000, Acc.bus: 0.8902, Acc.towel: 0.8543, Acc.light: 0.6907, Acc.truck: 0.4957, Acc.tower: 0.0222, Acc.chandelier: 0.8420, Acc.awning: 0.5486, Acc.streetlight: 0.4530, Acc.booth: 0.0000, Acc.television receiver: 0.7770, Acc.airplane: 0.6716, Acc.dirt track: 0.0000, Acc.apparel: 0.6956, Acc.pole: 0.5410, Acc.land: 0.0000, Acc.bannister: 0.1259, Acc.escalator: 0.0000, Acc.ottoman: 0.5307, Acc.bottle: 0.4107, Acc.buffet: 0.0000, Acc.poster: 0.4399, Acc.stage: 0.0000, Acc.van: 0.7658, Acc.ship: 0.0000, Acc.fountain: 0.0000, Acc.conveyer belt: 0.0000, Acc.canopy: 0.0000, Acc.washer: 0.0000, Acc.plaything: 0.2263, Acc.swimming pool: 0.2088, Acc.stool: 0.5049, Acc.barrel: 0.0000, Acc.basket: 0.4463, Acc.waterfall: 0.8147, Acc.tent: 0.0000, Acc.bag: 0.3896, Acc.minibike: 0.6998, Acc.cradle: 0.0000, Acc.oven: 0.0247, Acc.ball: 0.0000, Acc.food: 0.0269, Acc.step: 0.0000, Acc.tank: 0.0000, Acc.trade name: 0.5027, Acc.microwave: 0.4420, Acc.pot: 0.4512, Acc.animal: 0.3345, Acc.bicycle: 0.9013, Acc.lake: 0.0000, Acc.dishwasher: 0.7903, Acc.screen: 0.6212, Acc.blanket: 0.0537, Acc.sculpture: 0.7934, Acc.hood: 0.7831, Acc.sconce: 0.6384, Acc.vase: 0.7360, Acc.traffic light: 0.6929, Acc.tray: 0.0315, Acc.ashcan: 0.6474, Acc.fan: 0.7741, Acc.pier: 0.0000, Acc.crt screen: 0.0020, Acc.plate: 0.7743, Acc.monitor: 0.0000, Acc.bulletin board: 0.1698, Acc.shower: 0.0000, Acc.radiator: 0.3063, Acc.glass: 0.2612, Acc.clock: 0.4319, Acc.flag: 0.5895 2023-11-21 22:35:57,226 - mmseg - INFO - Iter [8050/160000] lr: 9.046e-06, eta: 1 day, 1:19:29, time: 1.115, data_time: 0.553, memory: 38143, decode.loss_cls: 0.8870, decode.loss_mask: 0.7985, decode.loss_dice: 1.1226, decode.d0.loss_cls: 2.5530, decode.d0.loss_mask: 0.8191, decode.d0.loss_dice: 1.3841, decode.d1.loss_cls: 1.1320, decode.d1.loss_mask: 0.8107, decode.d1.loss_dice: 1.2188, decode.d2.loss_cls: 0.9656, decode.d2.loss_mask: 0.7971, decode.d2.loss_dice: 1.1591, decode.d3.loss_cls: 0.9271, decode.d3.loss_mask: 0.7872, decode.d3.loss_dice: 1.1333, decode.d4.loss_cls: 0.9102, decode.d4.loss_mask: 0.7956, decode.d4.loss_dice: 1.1338, decode.d5.loss_cls: 0.9028, decode.d5.loss_mask: 0.7901, decode.d5.loss_dice: 1.1383, decode.d6.loss_cls: 0.8838, decode.d6.loss_mask: 0.7998, decode.d6.loss_dice: 1.1294, decode.d7.loss_cls: 0.8850, decode.d7.loss_mask: 0.8019, decode.d7.loss_dice: 1.1358, decode.d8.loss_cls: 0.8940, decode.d8.loss_mask: 0.7996, decode.d8.loss_dice: 1.1276, loss: 30.6229, grad_norm: 82.4428 2023-11-21 22:36:25,858 - mmseg - INFO - Iter [8100/160000] lr: 9.043e-06, eta: 1 day, 1:18:34, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.9316, decode.loss_mask: 0.7855, decode.loss_dice: 1.1441, decode.d0.loss_cls: 2.6264, decode.d0.loss_mask: 0.8061, decode.d0.loss_dice: 1.3894, decode.d1.loss_cls: 1.1616, decode.d1.loss_mask: 0.8008, decode.d1.loss_dice: 1.2313, decode.d2.loss_cls: 1.0136, decode.d2.loss_mask: 0.7917, decode.d2.loss_dice: 1.1719, decode.d3.loss_cls: 0.9680, decode.d3.loss_mask: 0.7844, decode.d3.loss_dice: 1.1593, decode.d4.loss_cls: 0.9447, decode.d4.loss_mask: 0.7890, decode.d4.loss_dice: 1.1588, decode.d5.loss_cls: 0.9387, decode.d5.loss_mask: 0.7913, decode.d5.loss_dice: 1.1550, decode.d6.loss_cls: 0.9348, decode.d6.loss_mask: 0.7865, decode.d6.loss_dice: 1.1530, decode.d7.loss_cls: 0.9377, decode.d7.loss_mask: 0.7860, decode.d7.loss_dice: 1.1509, decode.d8.loss_cls: 0.9260, decode.d8.loss_mask: 0.7864, decode.d8.loss_dice: 1.1577, loss: 31.1621, grad_norm: 76.9802 2023-11-21 22:36:54,361 - mmseg - INFO - Iter [8150/160000] lr: 9.040e-06, eta: 1 day, 1:17:36, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.9017, decode.loss_mask: 0.8114, decode.loss_dice: 1.1866, decode.d0.loss_cls: 2.5840, decode.d0.loss_mask: 0.8382, decode.d0.loss_dice: 1.4299, decode.d1.loss_cls: 1.1319, decode.d1.loss_mask: 0.8419, decode.d1.loss_dice: 1.2564, decode.d2.loss_cls: 0.9720, decode.d2.loss_mask: 0.8304, decode.d2.loss_dice: 1.2107, decode.d3.loss_cls: 0.9355, decode.d3.loss_mask: 0.8205, decode.d3.loss_dice: 1.1891, decode.d4.loss_cls: 0.9308, decode.d4.loss_mask: 0.8159, decode.d4.loss_dice: 1.1981, decode.d5.loss_cls: 0.9062, decode.d5.loss_mask: 0.8186, decode.d5.loss_dice: 1.1920, decode.d6.loss_cls: 0.8962, decode.d6.loss_mask: 0.8179, decode.d6.loss_dice: 1.1821, decode.d7.loss_cls: 0.8960, decode.d7.loss_mask: 0.8153, decode.d7.loss_dice: 1.1765, decode.d8.loss_cls: 0.9041, decode.d8.loss_mask: 0.8188, decode.d8.loss_dice: 1.1826, loss: 31.4916, grad_norm: 79.6871 2023-11-21 22:37:23,226 - mmseg - INFO - Iter [8200/160000] lr: 9.037e-06, eta: 1 day, 1:16:45, time: 0.577, data_time: 0.013, memory: 38143, decode.loss_cls: 0.8857, decode.loss_mask: 0.7674, decode.loss_dice: 1.1240, decode.d0.loss_cls: 2.5856, decode.d0.loss_mask: 0.7886, decode.d0.loss_dice: 1.3834, decode.d1.loss_cls: 1.1223, decode.d1.loss_mask: 0.7832, decode.d1.loss_dice: 1.2052, decode.d2.loss_cls: 0.9686, decode.d2.loss_mask: 0.7656, decode.d2.loss_dice: 1.1558, decode.d3.loss_cls: 0.9222, decode.d3.loss_mask: 0.7631, decode.d3.loss_dice: 1.1301, decode.d4.loss_cls: 0.9156, decode.d4.loss_mask: 0.7588, decode.d4.loss_dice: 1.1266, decode.d5.loss_cls: 0.9014, decode.d5.loss_mask: 0.7600, decode.d5.loss_dice: 1.1282, decode.d6.loss_cls: 0.8868, decode.d6.loss_mask: 0.7609, decode.d6.loss_dice: 1.1211, decode.d7.loss_cls: 0.8824, decode.d7.loss_mask: 0.7625, decode.d7.loss_dice: 1.1322, decode.d8.loss_cls: 0.8849, decode.d8.loss_mask: 0.7645, decode.d8.loss_dice: 1.1294, loss: 30.2660, grad_norm: 80.8032 2023-11-21 22:37:52,354 - mmseg - INFO - Iter [8250/160000] lr: 9.034e-06, eta: 1 day, 1:16:00, time: 0.583, data_time: 0.013, memory: 38143, decode.loss_cls: 0.8562, decode.loss_mask: 0.7756, decode.loss_dice: 1.1398, decode.d0.loss_cls: 2.5237, decode.d0.loss_mask: 0.8048, decode.d0.loss_dice: 1.3875, decode.d1.loss_cls: 1.0880, decode.d1.loss_mask: 0.8149, decode.d1.loss_dice: 1.2414, decode.d2.loss_cls: 0.9306, decode.d2.loss_mask: 0.7908, decode.d2.loss_dice: 1.1781, decode.d3.loss_cls: 0.9036, decode.d3.loss_mask: 0.7782, decode.d3.loss_dice: 1.1491, decode.d4.loss_cls: 0.8885, decode.d4.loss_mask: 0.7763, decode.d4.loss_dice: 1.1517, decode.d5.loss_cls: 0.8784, decode.d5.loss_mask: 0.7763, decode.d5.loss_dice: 1.1407, decode.d6.loss_cls: 0.8651, decode.d6.loss_mask: 0.7753, decode.d6.loss_dice: 1.1436, decode.d7.loss_cls: 0.8533, decode.d7.loss_mask: 0.7794, decode.d7.loss_dice: 1.1494, decode.d8.loss_cls: 0.8616, decode.d8.loss_mask: 0.7776, decode.d8.loss_dice: 1.1442, loss: 30.3240, grad_norm: 81.6169 2023-11-21 22:38:20,597 - mmseg - INFO - Iter [8300/160000] lr: 9.031e-06, eta: 1 day, 1:14:58, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.8799, decode.loss_mask: 0.7924, decode.loss_dice: 1.1346, decode.d0.loss_cls: 2.5176, decode.d0.loss_mask: 0.8124, decode.d0.loss_dice: 1.3802, decode.d1.loss_cls: 1.1005, decode.d1.loss_mask: 0.8201, decode.d1.loss_dice: 1.2153, decode.d2.loss_cls: 0.9653, decode.d2.loss_mask: 0.7964, decode.d2.loss_dice: 1.1547, decode.d3.loss_cls: 0.9224, decode.d3.loss_mask: 0.7888, decode.d3.loss_dice: 1.1345, decode.d4.loss_cls: 0.9026, decode.d4.loss_mask: 0.7937, decode.d4.loss_dice: 1.1368, decode.d5.loss_cls: 0.8887, decode.d5.loss_mask: 0.7923, decode.d5.loss_dice: 1.1347, decode.d6.loss_cls: 0.8773, decode.d6.loss_mask: 0.7929, decode.d6.loss_dice: 1.1252, decode.d7.loss_cls: 0.8830, decode.d7.loss_mask: 0.7862, decode.d7.loss_dice: 1.1287, decode.d8.loss_cls: 0.8843, decode.d8.loss_mask: 0.7892, decode.d8.loss_dice: 1.1314, loss: 30.4623, grad_norm: 85.6911 2023-11-21 22:38:48,775 - mmseg - INFO - Iter [8350/160000] lr: 9.028e-06, eta: 1 day, 1:13:56, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.9336, decode.loss_mask: 0.7832, decode.loss_dice: 1.1568, decode.d0.loss_cls: 2.6083, decode.d0.loss_mask: 0.8186, decode.d0.loss_dice: 1.4123, decode.d1.loss_cls: 1.1740, decode.d1.loss_mask: 0.8139, decode.d1.loss_dice: 1.2539, decode.d2.loss_cls: 1.0209, decode.d2.loss_mask: 0.7995, decode.d2.loss_dice: 1.1994, decode.d3.loss_cls: 0.9784, decode.d3.loss_mask: 0.7838, decode.d3.loss_dice: 1.1695, decode.d4.loss_cls: 0.9690, decode.d4.loss_mask: 0.7868, decode.d4.loss_dice: 1.1719, decode.d5.loss_cls: 0.9537, decode.d5.loss_mask: 0.7911, decode.d5.loss_dice: 1.1719, decode.d6.loss_cls: 0.9386, decode.d6.loss_mask: 0.7933, decode.d6.loss_dice: 1.1575, decode.d7.loss_cls: 0.9417, decode.d7.loss_mask: 0.7915, decode.d7.loss_dice: 1.1601, decode.d8.loss_cls: 0.9369, decode.d8.loss_mask: 0.7900, decode.d8.loss_dice: 1.1552, loss: 31.4154, grad_norm: 79.8224 2023-11-21 22:39:17,115 - mmseg - INFO - Iter [8400/160000] lr: 9.025e-06, eta: 1 day, 1:12:57, time: 0.567, data_time: 0.015, memory: 38143, decode.loss_cls: 0.8732, decode.loss_mask: 0.7766, decode.loss_dice: 1.1379, decode.d0.loss_cls: 2.5510, decode.d0.loss_mask: 0.8003, decode.d0.loss_dice: 1.3875, decode.d1.loss_cls: 1.1175, decode.d1.loss_mask: 0.8012, decode.d1.loss_dice: 1.2200, decode.d2.loss_cls: 0.9610, decode.d2.loss_mask: 0.7846, decode.d2.loss_dice: 1.1659, decode.d3.loss_cls: 0.9119, decode.d3.loss_mask: 0.7755, decode.d3.loss_dice: 1.1395, decode.d4.loss_cls: 0.9073, decode.d4.loss_mask: 0.7717, decode.d4.loss_dice: 1.1479, decode.d5.loss_cls: 0.8970, decode.d5.loss_mask: 0.7756, decode.d5.loss_dice: 1.1432, decode.d6.loss_cls: 0.8792, decode.d6.loss_mask: 0.7717, decode.d6.loss_dice: 1.1392, decode.d7.loss_cls: 0.8781, decode.d7.loss_mask: 0.7742, decode.d7.loss_dice: 1.1385, decode.d8.loss_cls: 0.8695, decode.d8.loss_mask: 0.7790, decode.d8.loss_dice: 1.1424, loss: 30.4179, grad_norm: 77.4974 2023-11-21 22:39:45,162 - mmseg - INFO - Iter [8450/160000] lr: 9.022e-06, eta: 1 day, 1:11:53, time: 0.561, data_time: 0.014, memory: 38143, decode.loss_cls: 0.8572, decode.loss_mask: 0.7610, decode.loss_dice: 1.0780, decode.d0.loss_cls: 2.4415, decode.d0.loss_mask: 0.8021, decode.d0.loss_dice: 1.3328, decode.d1.loss_cls: 1.0835, decode.d1.loss_mask: 0.7996, decode.d1.loss_dice: 1.1700, decode.d2.loss_cls: 0.9355, decode.d2.loss_mask: 0.7736, decode.d2.loss_dice: 1.1124, decode.d3.loss_cls: 0.8890, decode.d3.loss_mask: 0.7650, decode.d3.loss_dice: 1.0871, decode.d4.loss_cls: 0.8773, decode.d4.loss_mask: 0.7689, decode.d4.loss_dice: 1.0847, decode.d5.loss_cls: 0.8736, decode.d5.loss_mask: 0.7574, decode.d5.loss_dice: 1.0831, decode.d6.loss_cls: 0.8672, decode.d6.loss_mask: 0.7624, decode.d6.loss_dice: 1.0763, decode.d7.loss_cls: 0.8608, decode.d7.loss_mask: 0.7622, decode.d7.loss_dice: 1.0776, decode.d8.loss_cls: 0.8515, decode.d8.loss_mask: 0.7637, decode.d8.loss_dice: 1.0726, loss: 29.4275, grad_norm: 79.6979 2023-11-21 22:40:13,547 - mmseg - INFO - Iter [8500/160000] lr: 9.019e-06, eta: 1 day, 1:10:56, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.8797, decode.loss_mask: 0.7751, decode.loss_dice: 1.1479, decode.d0.loss_cls: 2.5523, decode.d0.loss_mask: 0.8027, decode.d0.loss_dice: 1.3954, decode.d1.loss_cls: 1.1004, decode.d1.loss_mask: 0.8012, decode.d1.loss_dice: 1.2316, decode.d2.loss_cls: 0.9656, decode.d2.loss_mask: 0.7756, decode.d2.loss_dice: 1.1730, decode.d3.loss_cls: 0.9216, decode.d3.loss_mask: 0.7725, decode.d3.loss_dice: 1.1445, decode.d4.loss_cls: 0.9044, decode.d4.loss_mask: 0.7746, decode.d4.loss_dice: 1.1537, decode.d5.loss_cls: 0.8985, decode.d5.loss_mask: 0.7672, decode.d5.loss_dice: 1.1517, decode.d6.loss_cls: 0.8825, decode.d6.loss_mask: 0.7749, decode.d6.loss_dice: 1.1497, decode.d7.loss_cls: 0.8838, decode.d7.loss_mask: 0.7785, decode.d7.loss_dice: 1.1465, decode.d8.loss_cls: 0.8773, decode.d8.loss_mask: 0.7748, decode.d8.loss_dice: 1.1485, loss: 30.5055, grad_norm: 84.4282 2023-11-21 22:40:42,146 - mmseg - INFO - Iter [8550/160000] lr: 9.016e-06, eta: 1 day, 1:10:02, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.8319, decode.loss_mask: 0.7680, decode.loss_dice: 1.1158, decode.d0.loss_cls: 2.5431, decode.d0.loss_mask: 0.7881, decode.d0.loss_dice: 1.3556, decode.d1.loss_cls: 1.0645, decode.d1.loss_mask: 0.7908, decode.d1.loss_dice: 1.2054, decode.d2.loss_cls: 0.9120, decode.d2.loss_mask: 0.7756, decode.d2.loss_dice: 1.1432, decode.d3.loss_cls: 0.8750, decode.d3.loss_mask: 0.7645, decode.d3.loss_dice: 1.1277, decode.d4.loss_cls: 0.8598, decode.d4.loss_mask: 0.7727, decode.d4.loss_dice: 1.1250, decode.d5.loss_cls: 0.8444, decode.d5.loss_mask: 0.7690, decode.d5.loss_dice: 1.1218, decode.d6.loss_cls: 0.8313, decode.d6.loss_mask: 0.7658, decode.d6.loss_dice: 1.1150, decode.d7.loss_cls: 0.8337, decode.d7.loss_mask: 0.7683, decode.d7.loss_dice: 1.1162, decode.d8.loss_cls: 0.8300, decode.d8.loss_mask: 0.7746, decode.d8.loss_dice: 1.1167, loss: 29.7054, grad_norm: 77.9935 2023-11-21 22:41:10,422 - mmseg - INFO - Iter [8600/160000] lr: 9.013e-06, eta: 1 day, 1:09:04, time: 0.565, data_time: 0.015, memory: 38143, decode.loss_cls: 0.8546, decode.loss_mask: 0.7922, decode.loss_dice: 1.1542, decode.d0.loss_cls: 2.4890, decode.d0.loss_mask: 0.8051, decode.d0.loss_dice: 1.3879, decode.d1.loss_cls: 1.0879, decode.d1.loss_mask: 0.8090, decode.d1.loss_dice: 1.2233, decode.d2.loss_cls: 0.9507, decode.d2.loss_mask: 0.7995, decode.d2.loss_dice: 1.1731, decode.d3.loss_cls: 0.8948, decode.d3.loss_mask: 0.7853, decode.d3.loss_dice: 1.1466, decode.d4.loss_cls: 0.8860, decode.d4.loss_mask: 0.7902, decode.d4.loss_dice: 1.1559, decode.d5.loss_cls: 0.8717, decode.d5.loss_mask: 0.7899, decode.d5.loss_dice: 1.1491, decode.d6.loss_cls: 0.8598, decode.d6.loss_mask: 0.7899, decode.d6.loss_dice: 1.1395, decode.d7.loss_cls: 0.8534, decode.d7.loss_mask: 0.7952, decode.d7.loss_dice: 1.1459, decode.d8.loss_cls: 0.8526, decode.d8.loss_mask: 0.7958, decode.d8.loss_dice: 1.1472, loss: 30.3753, grad_norm: 81.5518 2023-11-21 22:41:38,653 - mmseg - INFO - Iter [8650/160000] lr: 9.010e-06, eta: 1 day, 1:08:04, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.8788, decode.loss_mask: 0.7955, decode.loss_dice: 1.1669, decode.d0.loss_cls: 2.4746, decode.d0.loss_mask: 0.8127, decode.d0.loss_dice: 1.3934, decode.d1.loss_cls: 1.0951, decode.d1.loss_mask: 0.8116, decode.d1.loss_dice: 1.2354, decode.d2.loss_cls: 0.9436, decode.d2.loss_mask: 0.7985, decode.d2.loss_dice: 1.1887, decode.d3.loss_cls: 0.9124, decode.d3.loss_mask: 0.7941, decode.d3.loss_dice: 1.1743, decode.d4.loss_cls: 0.8973, decode.d4.loss_mask: 0.7947, decode.d4.loss_dice: 1.1730, decode.d5.loss_cls: 0.8948, decode.d5.loss_mask: 0.7913, decode.d5.loss_dice: 1.1662, decode.d6.loss_cls: 0.8879, decode.d6.loss_mask: 0.7904, decode.d6.loss_dice: 1.1705, decode.d7.loss_cls: 0.8841, decode.d7.loss_mask: 0.7917, decode.d7.loss_dice: 1.1728, decode.d8.loss_cls: 0.8829, decode.d8.loss_mask: 0.7971, decode.d8.loss_dice: 1.1680, loss: 30.7386, grad_norm: 83.5778 2023-11-21 22:42:07,039 - mmseg - INFO - Iter [8700/160000] lr: 9.007e-06, eta: 1 day, 1:07:08, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.8543, decode.loss_mask: 0.7811, decode.loss_dice: 1.1287, decode.d0.loss_cls: 2.4907, decode.d0.loss_mask: 0.8008, decode.d0.loss_dice: 1.3577, decode.d1.loss_cls: 1.0677, decode.d1.loss_mask: 0.8003, decode.d1.loss_dice: 1.1976, decode.d2.loss_cls: 0.9218, decode.d2.loss_mask: 0.7886, decode.d2.loss_dice: 1.1565, decode.d3.loss_cls: 0.8733, decode.d3.loss_mask: 0.7874, decode.d3.loss_dice: 1.1314, decode.d4.loss_cls: 0.8678, decode.d4.loss_mask: 0.7859, decode.d4.loss_dice: 1.1347, decode.d5.loss_cls: 0.8684, decode.d5.loss_mask: 0.7813, decode.d5.loss_dice: 1.1313, decode.d6.loss_cls: 0.8574, decode.d6.loss_mask: 0.7809, decode.d6.loss_dice: 1.1236, decode.d7.loss_cls: 0.8572, decode.d7.loss_mask: 0.7817, decode.d7.loss_dice: 1.1173, decode.d8.loss_cls: 0.8545, decode.d8.loss_mask: 0.7838, decode.d8.loss_dice: 1.1241, loss: 29.9878, grad_norm: 82.3768 2023-11-21 22:42:35,297 - mmseg - INFO - Iter [8750/160000] lr: 9.004e-06, eta: 1 day, 1:06:10, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.8574, decode.loss_mask: 0.7497, decode.loss_dice: 1.1114, decode.d0.loss_cls: 2.5060, decode.d0.loss_mask: 0.7709, decode.d0.loss_dice: 1.3610, decode.d1.loss_cls: 1.0863, decode.d1.loss_mask: 0.7764, decode.d1.loss_dice: 1.2009, decode.d2.loss_cls: 0.9283, decode.d2.loss_mask: 0.7637, decode.d2.loss_dice: 1.1459, decode.d3.loss_cls: 0.8893, decode.d3.loss_mask: 0.7572, decode.d3.loss_dice: 1.1306, decode.d4.loss_cls: 0.8770, decode.d4.loss_mask: 0.7550, decode.d4.loss_dice: 1.1296, decode.d5.loss_cls: 0.8687, decode.d5.loss_mask: 0.7599, decode.d5.loss_dice: 1.1213, decode.d6.loss_cls: 0.8610, decode.d6.loss_mask: 0.7541, decode.d6.loss_dice: 1.1111, decode.d7.loss_cls: 0.8556, decode.d7.loss_mask: 0.7520, decode.d7.loss_dice: 1.1147, decode.d8.loss_cls: 0.8538, decode.d8.loss_mask: 0.7570, decode.d8.loss_dice: 1.1168, loss: 29.7225, grad_norm: 84.3432 2023-11-21 22:43:03,396 - mmseg - INFO - Iter [8800/160000] lr: 9.001e-06, eta: 1 day, 1:05:10, time: 0.562, data_time: 0.014, memory: 38143, decode.loss_cls: 0.8461, decode.loss_mask: 0.7971, decode.loss_dice: 1.1424, decode.d0.loss_cls: 2.4444, decode.d0.loss_mask: 0.8213, decode.d0.loss_dice: 1.3763, decode.d1.loss_cls: 1.0702, decode.d1.loss_mask: 0.8226, decode.d1.loss_dice: 1.2223, decode.d2.loss_cls: 0.9245, decode.d2.loss_mask: 0.8154, decode.d2.loss_dice: 1.1679, decode.d3.loss_cls: 0.8936, decode.d3.loss_mask: 0.7968, decode.d3.loss_dice: 1.1481, decode.d4.loss_cls: 0.8871, decode.d4.loss_mask: 0.8003, decode.d4.loss_dice: 1.1457, decode.d5.loss_cls: 0.8732, decode.d5.loss_mask: 0.7991, decode.d5.loss_dice: 1.1473, decode.d6.loss_cls: 0.8562, decode.d6.loss_mask: 0.8024, decode.d6.loss_dice: 1.1411, decode.d7.loss_cls: 0.8492, decode.d7.loss_mask: 0.7979, decode.d7.loss_dice: 1.1398, decode.d8.loss_cls: 0.8522, decode.d8.loss_mask: 0.7985, decode.d8.loss_dice: 1.1482, loss: 30.3272, grad_norm: 80.9068 2023-11-21 22:43:34,268 - mmseg - INFO - Iter [8850/160000] lr: 8.998e-06, eta: 1 day, 1:04:57, time: 0.617, data_time: 0.058, memory: 38143, decode.loss_cls: 0.8543, decode.loss_mask: 0.7690, decode.loss_dice: 1.1237, decode.d0.loss_cls: 2.4691, decode.d0.loss_mask: 0.7923, decode.d0.loss_dice: 1.3647, decode.d1.loss_cls: 1.0786, decode.d1.loss_mask: 0.7925, decode.d1.loss_dice: 1.2112, decode.d2.loss_cls: 0.9257, decode.d2.loss_mask: 0.7720, decode.d2.loss_dice: 1.1542, decode.d3.loss_cls: 0.8872, decode.d3.loss_mask: 0.7653, decode.d3.loss_dice: 1.1371, decode.d4.loss_cls: 0.8728, decode.d4.loss_mask: 0.7625, decode.d4.loss_dice: 1.1286, decode.d5.loss_cls: 0.8657, decode.d5.loss_mask: 0.7725, decode.d5.loss_dice: 1.1322, decode.d6.loss_cls: 0.8570, decode.d6.loss_mask: 0.7656, decode.d6.loss_dice: 1.1264, decode.d7.loss_cls: 0.8492, decode.d7.loss_mask: 0.7639, decode.d7.loss_dice: 1.1181, decode.d8.loss_cls: 0.8545, decode.d8.loss_mask: 0.7698, decode.d8.loss_dice: 1.1247, loss: 29.8602, grad_norm: 82.2748 2023-11-21 22:44:02,634 - mmseg - INFO - Iter [8900/160000] lr: 8.995e-06, eta: 1 day, 1:04:02, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.8308, decode.loss_mask: 0.7655, decode.loss_dice: 1.1320, decode.d0.loss_cls: 2.5355, decode.d0.loss_mask: 0.7892, decode.d0.loss_dice: 1.3792, decode.d1.loss_cls: 1.0722, decode.d1.loss_mask: 0.7941, decode.d1.loss_dice: 1.2218, decode.d2.loss_cls: 0.9246, decode.d2.loss_mask: 0.7672, decode.d2.loss_dice: 1.1631, decode.d3.loss_cls: 0.8791, decode.d3.loss_mask: 0.7642, decode.d3.loss_dice: 1.1318, decode.d4.loss_cls: 0.8631, decode.d4.loss_mask: 0.7649, decode.d4.loss_dice: 1.1383, decode.d5.loss_cls: 0.8534, decode.d5.loss_mask: 0.7636, decode.d5.loss_dice: 1.1345, decode.d6.loss_cls: 0.8375, decode.d6.loss_mask: 0.7639, decode.d6.loss_dice: 1.1325, decode.d7.loss_cls: 0.8360, decode.d7.loss_mask: 0.7659, decode.d7.loss_dice: 1.1304, decode.d8.loss_cls: 0.8396, decode.d8.loss_mask: 0.7679, decode.d8.loss_dice: 1.1339, loss: 29.8756, grad_norm: 80.7079 2023-11-21 22:44:30,926 - mmseg - INFO - Iter [8950/160000] lr: 8.992e-06, eta: 1 day, 1:03:05, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.8469, decode.loss_mask: 0.7542, decode.loss_dice: 1.1137, decode.d0.loss_cls: 2.5486, decode.d0.loss_mask: 0.7698, decode.d0.loss_dice: 1.3613, decode.d1.loss_cls: 1.0862, decode.d1.loss_mask: 0.7766, decode.d1.loss_dice: 1.2077, decode.d2.loss_cls: 0.9469, decode.d2.loss_mask: 0.7585, decode.d2.loss_dice: 1.1411, decode.d3.loss_cls: 0.8980, decode.d3.loss_mask: 0.7517, decode.d3.loss_dice: 1.1286, decode.d4.loss_cls: 0.8895, decode.d4.loss_mask: 0.7512, decode.d4.loss_dice: 1.1280, decode.d5.loss_cls: 0.8711, decode.d5.loss_mask: 0.7499, decode.d5.loss_dice: 1.1279, decode.d6.loss_cls: 0.8618, decode.d6.loss_mask: 0.7452, decode.d6.loss_dice: 1.1199, decode.d7.loss_cls: 0.8488, decode.d7.loss_mask: 0.7515, decode.d7.loss_dice: 1.1146, decode.d8.loss_cls: 0.8487, decode.d8.loss_mask: 0.7507, decode.d8.loss_dice: 1.1203, loss: 29.7688, grad_norm: 74.1224 2023-11-21 22:44:59,182 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-21 22:44:59,182 - mmseg - INFO - Iter [9000/160000] lr: 8.989e-06, eta: 1 day, 1:02:09, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.8102, decode.loss_mask: 0.7631, decode.loss_dice: 1.1021, decode.d0.loss_cls: 2.4114, decode.d0.loss_mask: 0.7863, decode.d0.loss_dice: 1.3267, decode.d1.loss_cls: 1.0086, decode.d1.loss_mask: 0.7957, decode.d1.loss_dice: 1.1814, decode.d2.loss_cls: 0.8751, decode.d2.loss_mask: 0.7822, decode.d2.loss_dice: 1.1306, decode.d3.loss_cls: 0.8445, decode.d3.loss_mask: 0.7728, decode.d3.loss_dice: 1.1055, decode.d4.loss_cls: 0.8374, decode.d4.loss_mask: 0.7714, decode.d4.loss_dice: 1.1041, decode.d5.loss_cls: 0.8228, decode.d5.loss_mask: 0.7743, decode.d5.loss_dice: 1.1010, decode.d6.loss_cls: 0.8058, decode.d6.loss_mask: 0.7719, decode.d6.loss_dice: 1.0994, decode.d7.loss_cls: 0.8056, decode.d7.loss_mask: 0.7627, decode.d7.loss_dice: 1.1011, decode.d8.loss_cls: 0.8017, decode.d8.loss_mask: 0.7658, decode.d8.loss_dice: 1.1049, loss: 29.1260, grad_norm: 82.3997 2023-11-21 22:45:27,425 - mmseg - INFO - Iter [9050/160000] lr: 8.986e-06, eta: 1 day, 1:01:12, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.8253, decode.loss_mask: 0.7710, decode.loss_dice: 1.1156, decode.d0.loss_cls: 2.3854, decode.d0.loss_mask: 0.8009, decode.d0.loss_dice: 1.3408, decode.d1.loss_cls: 1.0385, decode.d1.loss_mask: 0.7898, decode.d1.loss_dice: 1.2047, decode.d2.loss_cls: 0.9035, decode.d2.loss_mask: 0.7742, decode.d2.loss_dice: 1.1537, decode.d3.loss_cls: 0.8695, decode.d3.loss_mask: 0.7690, decode.d3.loss_dice: 1.1234, decode.d4.loss_cls: 0.8449, decode.d4.loss_mask: 0.7692, decode.d4.loss_dice: 1.1316, decode.d5.loss_cls: 0.8312, decode.d5.loss_mask: 0.7743, decode.d5.loss_dice: 1.1248, decode.d6.loss_cls: 0.8258, decode.d6.loss_mask: 0.7697, decode.d6.loss_dice: 1.1140, decode.d7.loss_cls: 0.8241, decode.d7.loss_mask: 0.7742, decode.d7.loss_dice: 1.1189, decode.d8.loss_cls: 0.8268, decode.d8.loss_mask: 0.7719, decode.d8.loss_dice: 1.1202, loss: 29.4867, grad_norm: 82.6184 2023-11-21 22:45:55,606 - mmseg - INFO - Iter [9100/160000] lr: 8.983e-06, eta: 1 day, 1:00:15, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.8145, decode.loss_mask: 0.7767, decode.loss_dice: 1.1310, decode.d0.loss_cls: 2.4564, decode.d0.loss_mask: 0.7973, decode.d0.loss_dice: 1.3667, decode.d1.loss_cls: 1.0433, decode.d1.loss_mask: 0.8011, decode.d1.loss_dice: 1.2177, decode.d2.loss_cls: 0.8931, decode.d2.loss_mask: 0.7846, decode.d2.loss_dice: 1.1586, decode.d3.loss_cls: 0.8534, decode.d3.loss_mask: 0.7775, decode.d3.loss_dice: 1.1415, decode.d4.loss_cls: 0.8378, decode.d4.loss_mask: 0.7810, decode.d4.loss_dice: 1.1414, decode.d5.loss_cls: 0.8206, decode.d5.loss_mask: 0.7802, decode.d5.loss_dice: 1.1433, decode.d6.loss_cls: 0.8159, decode.d6.loss_mask: 0.7778, decode.d6.loss_dice: 1.1338, decode.d7.loss_cls: 0.8193, decode.d7.loss_mask: 0.7801, decode.d7.loss_dice: 1.1314, decode.d8.loss_cls: 0.8152, decode.d8.loss_mask: 0.7781, decode.d8.loss_dice: 1.1256, loss: 29.6954, grad_norm: 80.1759 2023-11-21 22:46:24,041 - mmseg - INFO - Iter [9150/160000] lr: 8.980e-06, eta: 1 day, 0:59:22, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.8161, decode.loss_mask: 0.7715, decode.loss_dice: 1.1099, decode.d0.loss_cls: 2.4418, decode.d0.loss_mask: 0.7926, decode.d0.loss_dice: 1.3360, decode.d1.loss_cls: 1.0446, decode.d1.loss_mask: 0.7952, decode.d1.loss_dice: 1.1869, decode.d2.loss_cls: 0.8953, decode.d2.loss_mask: 0.7778, decode.d2.loss_dice: 1.1349, decode.d3.loss_cls: 0.8472, decode.d3.loss_mask: 0.7761, decode.d3.loss_dice: 1.1192, decode.d4.loss_cls: 0.8428, decode.d4.loss_mask: 0.7683, decode.d4.loss_dice: 1.1194, decode.d5.loss_cls: 0.8276, decode.d5.loss_mask: 0.7736, decode.d5.loss_dice: 1.1209, decode.d6.loss_cls: 0.8203, decode.d6.loss_mask: 0.7703, decode.d6.loss_dice: 1.1241, decode.d7.loss_cls: 0.8207, decode.d7.loss_mask: 0.7723, decode.d7.loss_dice: 1.1198, decode.d8.loss_cls: 0.8210, decode.d8.loss_mask: 0.7712, decode.d8.loss_dice: 1.1162, loss: 29.4335, grad_norm: 80.9396 2023-11-21 22:46:52,190 - mmseg - INFO - Iter [9200/160000] lr: 8.977e-06, eta: 1 day, 0:58:25, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.8180, decode.loss_mask: 0.7821, decode.loss_dice: 1.1062, decode.d0.loss_cls: 2.3826, decode.d0.loss_mask: 0.8108, decode.d0.loss_dice: 1.3365, decode.d1.loss_cls: 1.0292, decode.d1.loss_mask: 0.8046, decode.d1.loss_dice: 1.1918, decode.d2.loss_cls: 0.8888, decode.d2.loss_mask: 0.7886, decode.d2.loss_dice: 1.1509, decode.d3.loss_cls: 0.8419, decode.d3.loss_mask: 0.7822, decode.d3.loss_dice: 1.1222, decode.d4.loss_cls: 0.8359, decode.d4.loss_mask: 0.7808, decode.d4.loss_dice: 1.1196, decode.d5.loss_cls: 0.8254, decode.d5.loss_mask: 0.7892, decode.d5.loss_dice: 1.1168, decode.d6.loss_cls: 0.8288, decode.d6.loss_mask: 0.7844, decode.d6.loss_dice: 1.1112, decode.d7.loss_cls: 0.8202, decode.d7.loss_mask: 0.7864, decode.d7.loss_dice: 1.1108, decode.d8.loss_cls: 0.8201, decode.d8.loss_mask: 0.7826, decode.d8.loss_dice: 1.1126, loss: 29.4616, grad_norm: 84.8497 2023-11-21 22:47:20,378 - mmseg - INFO - Iter [9250/160000] lr: 8.974e-06, eta: 1 day, 0:57:29, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.8635, decode.loss_mask: 0.7836, decode.loss_dice: 1.1203, decode.d0.loss_cls: 2.4998, decode.d0.loss_mask: 0.8089, decode.d0.loss_dice: 1.3581, decode.d1.loss_cls: 1.0828, decode.d1.loss_mask: 0.8113, decode.d1.loss_dice: 1.2018, decode.d2.loss_cls: 0.9321, decode.d2.loss_mask: 0.7952, decode.d2.loss_dice: 1.1503, decode.d3.loss_cls: 0.8902, decode.d3.loss_mask: 0.7819, decode.d3.loss_dice: 1.1234, decode.d4.loss_cls: 0.8861, decode.d4.loss_mask: 0.7841, decode.d4.loss_dice: 1.1253, decode.d5.loss_cls: 0.8773, decode.d5.loss_mask: 0.7853, decode.d5.loss_dice: 1.1243, decode.d6.loss_cls: 0.8746, decode.d6.loss_mask: 0.7792, decode.d6.loss_dice: 1.1156, decode.d7.loss_cls: 0.8667, decode.d7.loss_mask: 0.7846, decode.d7.loss_dice: 1.1248, decode.d8.loss_cls: 0.8668, decode.d8.loss_mask: 0.7846, decode.d8.loss_dice: 1.1272, loss: 30.1098, grad_norm: 81.4936 2023-11-21 22:47:48,562 - mmseg - INFO - Iter [9300/160000] lr: 8.971e-06, eta: 1 day, 0:56:33, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.8511, decode.loss_mask: 0.7618, decode.loss_dice: 1.0902, decode.d0.loss_cls: 2.3940, decode.d0.loss_mask: 0.7866, decode.d0.loss_dice: 1.3233, decode.d1.loss_cls: 1.0631, decode.d1.loss_mask: 0.7870, decode.d1.loss_dice: 1.1726, decode.d2.loss_cls: 0.9113, decode.d2.loss_mask: 0.7722, decode.d2.loss_dice: 1.1179, decode.d3.loss_cls: 0.8863, decode.d3.loss_mask: 0.7590, decode.d3.loss_dice: 1.0956, decode.d4.loss_cls: 0.8742, decode.d4.loss_mask: 0.7662, decode.d4.loss_dice: 1.1069, decode.d5.loss_cls: 0.8675, decode.d5.loss_mask: 0.7670, decode.d5.loss_dice: 1.1078, decode.d6.loss_cls: 0.8534, decode.d6.loss_mask: 0.7626, decode.d6.loss_dice: 1.0913, decode.d7.loss_cls: 0.8571, decode.d7.loss_mask: 0.7626, decode.d7.loss_dice: 1.1004, decode.d8.loss_cls: 0.8529, decode.d8.loss_mask: 0.7648, decode.d8.loss_dice: 1.1012, loss: 29.4078, grad_norm: 87.7337 2023-11-21 22:48:17,004 - mmseg - INFO - Iter [9350/160000] lr: 8.968e-06, eta: 1 day, 0:55:41, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.8443, decode.loss_mask: 0.7558, decode.loss_dice: 1.1017, decode.d0.loss_cls: 2.4379, decode.d0.loss_mask: 0.7768, decode.d0.loss_dice: 1.3240, decode.d1.loss_cls: 1.0555, decode.d1.loss_mask: 0.7734, decode.d1.loss_dice: 1.1725, decode.d2.loss_cls: 0.9099, decode.d2.loss_mask: 0.7591, decode.d2.loss_dice: 1.1245, decode.d3.loss_cls: 0.8674, decode.d3.loss_mask: 0.7603, decode.d3.loss_dice: 1.1050, decode.d4.loss_cls: 0.8488, decode.d4.loss_mask: 0.7584, decode.d4.loss_dice: 1.1094, decode.d5.loss_cls: 0.8357, decode.d5.loss_mask: 0.7567, decode.d5.loss_dice: 1.1068, decode.d6.loss_cls: 0.8282, decode.d6.loss_mask: 0.7574, decode.d6.loss_dice: 1.1044, decode.d7.loss_cls: 0.8319, decode.d7.loss_mask: 0.7569, decode.d7.loss_dice: 1.1013, decode.d8.loss_cls: 0.8324, decode.d8.loss_mask: 0.7565, decode.d8.loss_dice: 1.1066, loss: 29.2595, grad_norm: 78.6236 2023-11-21 22:48:45,226 - mmseg - INFO - Iter [9400/160000] lr: 8.965e-06, eta: 1 day, 0:54:46, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.8507, decode.loss_mask: 0.7772, decode.loss_dice: 1.1312, decode.d0.loss_cls: 2.5101, decode.d0.loss_mask: 0.8031, decode.d0.loss_dice: 1.3802, decode.d1.loss_cls: 1.0954, decode.d1.loss_mask: 0.8010, decode.d1.loss_dice: 1.2065, decode.d2.loss_cls: 0.9367, decode.d2.loss_mask: 0.7794, decode.d2.loss_dice: 1.1473, decode.d3.loss_cls: 0.8956, decode.d3.loss_mask: 0.7684, decode.d3.loss_dice: 1.1274, decode.d4.loss_cls: 0.8846, decode.d4.loss_mask: 0.7725, decode.d4.loss_dice: 1.1298, decode.d5.loss_cls: 0.8730, decode.d5.loss_mask: 0.7767, decode.d5.loss_dice: 1.1336, decode.d6.loss_cls: 0.8636, decode.d6.loss_mask: 0.7681, decode.d6.loss_dice: 1.1251, decode.d7.loss_cls: 0.8601, decode.d7.loss_mask: 0.7697, decode.d7.loss_dice: 1.1314, decode.d8.loss_cls: 0.8648, decode.d8.loss_mask: 0.7734, decode.d8.loss_dice: 1.1301, loss: 30.0666, grad_norm: 80.9520 2023-11-21 22:49:13,890 - mmseg - INFO - Iter [9450/160000] lr: 8.962e-06, eta: 1 day, 0:53:59, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.8614, decode.loss_mask: 0.7928, decode.loss_dice: 1.1270, decode.d0.loss_cls: 2.4227, decode.d0.loss_mask: 0.8288, decode.d0.loss_dice: 1.3715, decode.d1.loss_cls: 1.0727, decode.d1.loss_mask: 0.8181, decode.d1.loss_dice: 1.2136, decode.d2.loss_cls: 0.9325, decode.d2.loss_mask: 0.7975, decode.d2.loss_dice: 1.1485, decode.d3.loss_cls: 0.8881, decode.d3.loss_mask: 0.7909, decode.d3.loss_dice: 1.1359, decode.d4.loss_cls: 0.8762, decode.d4.loss_mask: 0.7882, decode.d4.loss_dice: 1.1378, decode.d5.loss_cls: 0.8682, decode.d5.loss_mask: 0.7970, decode.d5.loss_dice: 1.1397, decode.d6.loss_cls: 0.8634, decode.d6.loss_mask: 0.7930, decode.d6.loss_dice: 1.1280, decode.d7.loss_cls: 0.8670, decode.d7.loss_mask: 0.7893, decode.d7.loss_dice: 1.1286, decode.d8.loss_cls: 0.8598, decode.d8.loss_mask: 0.7951, decode.d8.loss_dice: 1.1259, loss: 30.1591, grad_norm: 77.0946 2023-11-21 22:49:42,144 - mmseg - INFO - Iter [9500/160000] lr: 8.959e-06, eta: 1 day, 0:53:05, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.8349, decode.loss_mask: 0.7775, decode.loss_dice: 1.1242, decode.d0.loss_cls: 2.4280, decode.d0.loss_mask: 0.8009, decode.d0.loss_dice: 1.3654, decode.d1.loss_cls: 1.0634, decode.d1.loss_mask: 0.8037, decode.d1.loss_dice: 1.2128, decode.d2.loss_cls: 0.9047, decode.d2.loss_mask: 0.7866, decode.d2.loss_dice: 1.1520, decode.d3.loss_cls: 0.8679, decode.d3.loss_mask: 0.7859, decode.d3.loss_dice: 1.1418, decode.d4.loss_cls: 0.8589, decode.d4.loss_mask: 0.7819, decode.d4.loss_dice: 1.1342, decode.d5.loss_cls: 0.8439, decode.d5.loss_mask: 0.7823, decode.d5.loss_dice: 1.1383, decode.d6.loss_cls: 0.8384, decode.d6.loss_mask: 0.7814, decode.d6.loss_dice: 1.1238, decode.d7.loss_cls: 0.8421, decode.d7.loss_mask: 0.7796, decode.d7.loss_dice: 1.1213, decode.d8.loss_cls: 0.8335, decode.d8.loss_mask: 0.7841, decode.d8.loss_dice: 1.1197, loss: 29.8131, grad_norm: 82.4968 2023-11-21 22:50:10,317 - mmseg - INFO - Iter [9550/160000] lr: 8.956e-06, eta: 1 day, 0:52:10, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.8434, decode.loss_mask: 0.7789, decode.loss_dice: 1.1468, decode.d0.loss_cls: 2.4305, decode.d0.loss_mask: 0.8110, decode.d0.loss_dice: 1.3838, decode.d1.loss_cls: 1.0616, decode.d1.loss_mask: 0.8080, decode.d1.loss_dice: 1.2414, decode.d2.loss_cls: 0.9170, decode.d2.loss_mask: 0.7839, decode.d2.loss_dice: 1.1743, decode.d3.loss_cls: 0.8834, decode.d3.loss_mask: 0.7815, decode.d3.loss_dice: 1.1552, decode.d4.loss_cls: 0.8690, decode.d4.loss_mask: 0.7757, decode.d4.loss_dice: 1.1553, decode.d5.loss_cls: 0.8520, decode.d5.loss_mask: 0.7832, decode.d5.loss_dice: 1.1499, decode.d6.loss_cls: 0.8427, decode.d6.loss_mask: 0.7811, decode.d6.loss_dice: 1.1478, decode.d7.loss_cls: 0.8359, decode.d7.loss_mask: 0.7864, decode.d7.loss_dice: 1.1508, decode.d8.loss_cls: 0.8361, decode.d8.loss_mask: 0.7848, decode.d8.loss_dice: 1.1478, loss: 30.0994, grad_norm: 80.6604 2023-11-21 22:50:38,631 - mmseg - INFO - Iter [9600/160000] lr: 8.953e-06, eta: 1 day, 0:51:18, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.8483, decode.loss_mask: 0.7564, decode.loss_dice: 1.1074, decode.d0.loss_cls: 2.4389, decode.d0.loss_mask: 0.7771, decode.d0.loss_dice: 1.3524, decode.d1.loss_cls: 1.0591, decode.d1.loss_mask: 0.7863, decode.d1.loss_dice: 1.1964, decode.d2.loss_cls: 0.9244, decode.d2.loss_mask: 0.7648, decode.d2.loss_dice: 1.1453, decode.d3.loss_cls: 0.8857, decode.d3.loss_mask: 0.7547, decode.d3.loss_dice: 1.1150, decode.d4.loss_cls: 0.8693, decode.d4.loss_mask: 0.7546, decode.d4.loss_dice: 1.1264, decode.d5.loss_cls: 0.8557, decode.d5.loss_mask: 0.7536, decode.d5.loss_dice: 1.1119, decode.d6.loss_cls: 0.8541, decode.d6.loss_mask: 0.7548, decode.d6.loss_dice: 1.1079, decode.d7.loss_cls: 0.8510, decode.d7.loss_mask: 0.7529, decode.d7.loss_dice: 1.1143, decode.d8.loss_cls: 0.8443, decode.d8.loss_mask: 0.7593, decode.d8.loss_dice: 1.1143, loss: 29.5369, grad_norm: 78.1033 2023-11-21 22:51:06,878 - mmseg - INFO - Iter [9650/160000] lr: 8.950e-06, eta: 1 day, 0:50:25, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.8398, decode.loss_mask: 0.7608, decode.loss_dice: 1.1133, decode.d0.loss_cls: 2.4160, decode.d0.loss_mask: 0.7898, decode.d0.loss_dice: 1.3613, decode.d1.loss_cls: 1.0641, decode.d1.loss_mask: 0.7868, decode.d1.loss_dice: 1.1960, decode.d2.loss_cls: 0.9224, decode.d2.loss_mask: 0.7681, decode.d2.loss_dice: 1.1424, decode.d3.loss_cls: 0.8846, decode.d3.loss_mask: 0.7599, decode.d3.loss_dice: 1.1172, decode.d4.loss_cls: 0.8674, decode.d4.loss_mask: 0.7592, decode.d4.loss_dice: 1.1180, decode.d5.loss_cls: 0.8539, decode.d5.loss_mask: 0.7536, decode.d5.loss_dice: 1.1165, decode.d6.loss_cls: 0.8506, decode.d6.loss_mask: 0.7593, decode.d6.loss_dice: 1.1054, decode.d7.loss_cls: 0.8414, decode.d7.loss_mask: 0.7589, decode.d7.loss_dice: 1.1079, decode.d8.loss_cls: 0.8370, decode.d8.loss_mask: 0.7655, decode.d8.loss_dice: 1.1108, loss: 29.5280, grad_norm: 81.4000 2023-11-21 22:51:35,186 - mmseg - INFO - Iter [9700/160000] lr: 8.947e-06, eta: 1 day, 0:49:33, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.8057, decode.loss_mask: 0.7673, decode.loss_dice: 1.1045, decode.d0.loss_cls: 2.4317, decode.d0.loss_mask: 0.7908, decode.d0.loss_dice: 1.3287, decode.d1.loss_cls: 1.0371, decode.d1.loss_mask: 0.7920, decode.d1.loss_dice: 1.1809, decode.d2.loss_cls: 0.8910, decode.d2.loss_mask: 0.7743, decode.d2.loss_dice: 1.1291, decode.d3.loss_cls: 0.8477, decode.d3.loss_mask: 0.7653, decode.d3.loss_dice: 1.0965, decode.d4.loss_cls: 0.8334, decode.d4.loss_mask: 0.7688, decode.d4.loss_dice: 1.1058, decode.d5.loss_cls: 0.8312, decode.d5.loss_mask: 0.7667, decode.d5.loss_dice: 1.1028, decode.d6.loss_cls: 0.8266, decode.d6.loss_mask: 0.7659, decode.d6.loss_dice: 1.0958, decode.d7.loss_cls: 0.8167, decode.d7.loss_mask: 0.7635, decode.d7.loss_dice: 1.0975, decode.d8.loss_cls: 0.8112, decode.d8.loss_mask: 0.7635, decode.d8.loss_dice: 1.1021, loss: 29.1942, grad_norm: 83.1285 2023-11-21 22:52:03,813 - mmseg - INFO - Iter [9750/160000] lr: 8.944e-06, eta: 1 day, 0:48:46, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.8434, decode.loss_mask: 0.7892, decode.loss_dice: 1.1143, decode.d0.loss_cls: 2.4097, decode.d0.loss_mask: 0.8194, decode.d0.loss_dice: 1.3435, decode.d1.loss_cls: 1.0606, decode.d1.loss_mask: 0.8118, decode.d1.loss_dice: 1.1993, decode.d2.loss_cls: 0.9195, decode.d2.loss_mask: 0.7970, decode.d2.loss_dice: 1.1416, decode.d3.loss_cls: 0.8726, decode.d3.loss_mask: 0.7893, decode.d3.loss_dice: 1.1243, decode.d4.loss_cls: 0.8664, decode.d4.loss_mask: 0.7853, decode.d4.loss_dice: 1.1242, decode.d5.loss_cls: 0.8560, decode.d5.loss_mask: 0.7900, decode.d5.loss_dice: 1.1329, decode.d6.loss_cls: 0.8514, decode.d6.loss_mask: 0.7932, decode.d6.loss_dice: 1.1160, decode.d7.loss_cls: 0.8424, decode.d7.loss_mask: 0.7941, decode.d7.loss_dice: 1.1267, decode.d8.loss_cls: 0.8411, decode.d8.loss_mask: 0.7911, decode.d8.loss_dice: 1.1230, loss: 29.8691, grad_norm: 85.2774 2023-11-21 22:52:31,983 - mmseg - INFO - Iter [9800/160000] lr: 8.942e-06, eta: 1 day, 0:47:53, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.8397, decode.loss_mask: 0.7624, decode.loss_dice: 1.1244, decode.d0.loss_cls: 2.3873, decode.d0.loss_mask: 0.7864, decode.d0.loss_dice: 1.3592, decode.d1.loss_cls: 1.0568, decode.d1.loss_mask: 0.7831, decode.d1.loss_dice: 1.2108, decode.d2.loss_cls: 0.9130, decode.d2.loss_mask: 0.7675, decode.d2.loss_dice: 1.1528, decode.d3.loss_cls: 0.8773, decode.d3.loss_mask: 0.7615, decode.d3.loss_dice: 1.1282, decode.d4.loss_cls: 0.8703, decode.d4.loss_mask: 0.7633, decode.d4.loss_dice: 1.1240, decode.d5.loss_cls: 0.8662, decode.d5.loss_mask: 0.7602, decode.d5.loss_dice: 1.1185, decode.d6.loss_cls: 0.8518, decode.d6.loss_mask: 0.7593, decode.d6.loss_dice: 1.1170, decode.d7.loss_cls: 0.8449, decode.d7.loss_mask: 0.7612, decode.d7.loss_dice: 1.1185, decode.d8.loss_cls: 0.8439, decode.d8.loss_mask: 0.7619, decode.d8.loss_dice: 1.1326, loss: 29.6041, grad_norm: 78.3475 2023-11-21 22:53:00,187 - mmseg - INFO - Iter [9850/160000] lr: 8.939e-06, eta: 1 day, 0:47:00, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.8022, decode.loss_mask: 0.7618, decode.loss_dice: 1.1120, decode.d0.loss_cls: 2.3599, decode.d0.loss_mask: 0.7833, decode.d0.loss_dice: 1.3416, decode.d1.loss_cls: 1.0242, decode.d1.loss_mask: 0.7859, decode.d1.loss_dice: 1.1946, decode.d2.loss_cls: 0.8747, decode.d2.loss_mask: 0.7752, decode.d2.loss_dice: 1.1597, decode.d3.loss_cls: 0.8392, decode.d3.loss_mask: 0.7607, decode.d3.loss_dice: 1.1269, decode.d4.loss_cls: 0.8268, decode.d4.loss_mask: 0.7649, decode.d4.loss_dice: 1.1285, decode.d5.loss_cls: 0.8119, decode.d5.loss_mask: 0.7649, decode.d5.loss_dice: 1.1299, decode.d6.loss_cls: 0.8120, decode.d6.loss_mask: 0.7590, decode.d6.loss_dice: 1.1232, decode.d7.loss_cls: 0.8034, decode.d7.loss_mask: 0.7635, decode.d7.loss_dice: 1.1235, decode.d8.loss_cls: 0.8008, decode.d8.loss_mask: 0.7622, decode.d8.loss_dice: 1.1199, loss: 29.1961, grad_norm: 77.3057 2023-11-21 22:53:28,396 - mmseg - INFO - Iter [9900/160000] lr: 8.936e-06, eta: 1 day, 0:46:07, time: 0.564, data_time: 0.012, memory: 38143, decode.loss_cls: 0.8417, decode.loss_mask: 0.7971, decode.loss_dice: 1.1633, decode.d0.loss_cls: 2.4020, decode.d0.loss_mask: 0.8114, decode.d0.loss_dice: 1.3869, decode.d1.loss_cls: 1.0420, decode.d1.loss_mask: 0.8144, decode.d1.loss_dice: 1.2463, decode.d2.loss_cls: 0.9008, decode.d2.loss_mask: 0.8051, decode.d2.loss_dice: 1.1822, decode.d3.loss_cls: 0.8697, decode.d3.loss_mask: 0.7977, decode.d3.loss_dice: 1.1673, decode.d4.loss_cls: 0.8525, decode.d4.loss_mask: 0.7994, decode.d4.loss_dice: 1.1688, decode.d5.loss_cls: 0.8527, decode.d5.loss_mask: 0.7999, decode.d5.loss_dice: 1.1656, decode.d6.loss_cls: 0.8493, decode.d6.loss_mask: 0.7962, decode.d6.loss_dice: 1.1517, decode.d7.loss_cls: 0.8438, decode.d7.loss_mask: 0.7932, decode.d7.loss_dice: 1.1628, decode.d8.loss_cls: 0.8395, decode.d8.loss_mask: 0.7992, decode.d8.loss_dice: 1.1597, loss: 30.2625, grad_norm: 83.5634 2023-11-21 22:53:56,672 - mmseg - INFO - Iter [9950/160000] lr: 8.933e-06, eta: 1 day, 0:45:16, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.8438, decode.loss_mask: 0.7505, decode.loss_dice: 1.1303, decode.d0.loss_cls: 2.3981, decode.d0.loss_mask: 0.7743, decode.d0.loss_dice: 1.3676, decode.d1.loss_cls: 1.0405, decode.d1.loss_mask: 0.7722, decode.d1.loss_dice: 1.2072, decode.d2.loss_cls: 0.9189, decode.d2.loss_mask: 0.7514, decode.d2.loss_dice: 1.1578, decode.d3.loss_cls: 0.8740, decode.d3.loss_mask: 0.7504, decode.d3.loss_dice: 1.1346, decode.d4.loss_cls: 0.8673, decode.d4.loss_mask: 0.7501, decode.d4.loss_dice: 1.1381, decode.d5.loss_cls: 0.8595, decode.d5.loss_mask: 0.7466, decode.d5.loss_dice: 1.1412, decode.d6.loss_cls: 0.8472, decode.d6.loss_mask: 0.7500, decode.d6.loss_dice: 1.1346, decode.d7.loss_cls: 0.8434, decode.d7.loss_mask: 0.7533, decode.d7.loss_dice: 1.1372, decode.d8.loss_cls: 0.8354, decode.d8.loss_mask: 0.7514, decode.d8.loss_dice: 1.1340, loss: 29.5610, grad_norm: 85.9353 2023-11-21 22:54:24,846 - mmseg - INFO - Saving checkpoint at 10000 iterations 2023-11-21 22:54:33,418 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-21 22:54:33,418 - mmseg - INFO - Iter [10000/160000] lr: 8.930e-06, eta: 1 day, 0:46:32, time: 0.735, data_time: 0.013, memory: 38143, decode.loss_cls: 0.8141, decode.loss_mask: 0.7613, decode.loss_dice: 1.0926, decode.d0.loss_cls: 2.3455, decode.d0.loss_mask: 0.7909, decode.d0.loss_dice: 1.3224, decode.d1.loss_cls: 1.0165, decode.d1.loss_mask: 0.7862, decode.d1.loss_dice: 1.1764, decode.d2.loss_cls: 0.8884, decode.d2.loss_mask: 0.7705, decode.d2.loss_dice: 1.1249, decode.d3.loss_cls: 0.8451, decode.d3.loss_mask: 0.7664, decode.d3.loss_dice: 1.1059, decode.d4.loss_cls: 0.8389, decode.d4.loss_mask: 0.7663, decode.d4.loss_dice: 1.1028, decode.d5.loss_cls: 0.8281, decode.d5.loss_mask: 0.7630, decode.d5.loss_dice: 1.1010, decode.d6.loss_cls: 0.8175, decode.d6.loss_mask: 0.7615, decode.d6.loss_dice: 1.0974, decode.d7.loss_cls: 0.8174, decode.d7.loss_mask: 0.7613, decode.d7.loss_dice: 1.0886, decode.d8.loss_cls: 0.8197, decode.d8.loss_mask: 0.7587, decode.d8.loss_dice: 1.0917, loss: 29.0208, grad_norm: 78.2598 2023-11-21 22:54:53,049 - mmseg - INFO - per class results: 2023-11-21 22:54:53,055 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.29 | 88.89 | | building | 81.71 | 89.39 | | sky | 94.68 | 97.35 | | floor | 82.31 | 87.91 | | tree | 76.83 | 86.56 | | ceiling | 86.15 | 92.16 | | road | 77.57 | 89.14 | | bed | 89.98 | 96.04 | | windowpane | 60.65 | 79.16 | | grass | 62.82 | 76.13 | | cabinet | 61.13 | 72.61 | | sidewalk | 57.55 | 87.75 | | person | 84.95 | 93.98 | | earth | 33.59 | 40.56 | | door | 45.57 | 64.27 | | table | 63.65 | 82.3 | | mountain | 62.57 | 83.16 | | plant | 55.92 | 75.82 | | curtain | 74.68 | 86.79 | | chair | 57.59 | 73.16 | | car | 86.12 | 93.2 | | water | 37.87 | 46.92 | | painting | 65.57 | 91.32 | | sofa | 67.24 | 86.97 | | shelf | 43.32 | 72.8 | | house | 42.36 | 67.79 | | sea | 51.97 | 80.05 | | mirror | 72.89 | 84.13 | | rug | 61.09 | 70.92 | | field | 24.21 | 58.3 | | armchair | 35.38 | 52.14 | | seat | 64.7 | 78.48 | | fence | 37.82 | 55.48 | | desk | 38.49 | 48.54 | | rock | 52.05 | 65.34 | | wardrobe | 29.82 | 40.62 | | lamp | 69.19 | 81.03 | | bathtub | 65.1 | 81.81 | | railing | 30.39 | 70.67 | | cushion | 65.14 | 85.25 | | base | 12.53 | 13.95 | | box | 24.16 | 44.06 | | column | 52.66 | 74.18 | | signboard | 40.45 | 62.8 | | chest of drawers | 48.67 | 78.15 | | counter | 40.56 | 50.75 | | sand | 36.86 | 46.29 | | sink | 73.07 | 83.73 | | skyscraper | 34.04 | 44.84 | | fireplace | 72.45 | 90.81 | | refrigerator | 64.74 | 91.83 | | grandstand | 54.69 | 69.12 | | path | 8.61 | 13.92 | | stairs | 30.33 | 40.23 | | runway | 10.96 | 10.98 | | case | 30.95 | 33.0 | | pool table | 83.59 | 95.87 | | pillow | 62.72 | 77.38 | | screen door | 60.75 | 75.54 | | stairway | 24.68 | 44.2 | | river | 8.67 | 20.63 | | bridge | 39.28 | 48.87 | | bookcase | 28.91 | 41.16 | | blind | 30.41 | 35.32 | | coffee table | 61.78 | 80.01 | | toilet | 85.99 | 92.81 | | flower | 42.55 | 62.9 | | book | 47.61 | 78.09 | | hill | 0.57 | 0.57 | | bench | 35.01 | 41.21 | | countertop | 51.29 | 72.62 | | stove | 72.02 | 86.91 | | palm | 51.44 | 83.31 | | kitchen island | 32.96 | 62.57 | | computer | 72.14 | 90.98 | | swivel chair | 42.46 | 53.61 | | boat | 54.45 | 72.93 | | bar | 0.0 | 0.0 | | arcade machine | 11.15 | 11.21 | | hovel | 0.0 | 0.0 | | bus | 92.64 | 96.15 | | towel | 45.67 | 90.11 | | light | 59.47 | 71.06 | | truck | 33.99 | 60.7 | | tower | 15.23 | 22.49 | | chandelier | 64.63 | 82.3 | | awning | 25.79 | 59.37 | | streetlight | 35.33 | 58.61 | | booth | 0.0 | 0.0 | | television receiver | 71.74 | 80.14 | | airplane | 40.03 | 66.76 | | dirt track | 0.0 | 0.0 | | apparel | 24.61 | 37.36 | | pole | 28.78 | 51.14 | | land | 0.0 | 0.0 | | bannister | 7.95 | 10.93 | | escalator | 0.0 | 0.0 | | ottoman | 52.87 | 73.79 | | bottle | 26.96 | 41.53 | | buffet | 0.0 | 0.0 | | poster | 1.12 | 1.6 | | stage | 0.0 | 0.0 | | van | 48.06 | 72.58 | | ship | 0.0 | 0.0 | | fountain | 0.0 | 0.0 | | conveyer belt | 0.0 | 0.0 | | canopy | 0.0 | 0.0 | | washer | 22.66 | 22.69 | | plaything | 16.37 | 19.11 | | swimming pool | 20.1 | 20.85 | | stool | 42.9 | 62.61 | | barrel | 0.0 | 0.0 | | basket | 28.97 | 53.82 | | waterfall | 58.22 | 84.68 | | tent | 0.0 | 0.0 | | bag | 23.42 | 30.5 | | minibike | 67.66 | 85.32 | | cradle | 0.0 | 0.0 | | oven | 18.32 | 50.74 | | ball | 40.84 | 51.45 | | food | 57.67 | 62.87 | | step | 4.34 | 4.42 | | tank | 0.0 | 0.0 | | trade name | 32.39 | 47.55 | | microwave | 42.32 | 46.15 | | pot | 39.87 | 45.89 | | animal | 59.98 | 61.48 | | bicycle | 55.91 | 87.13 | | lake | 0.0 | 0.0 | | dishwasher | 40.19 | 75.45 | | screen | 37.48 | 82.16 | | blanket | 3.01 | 3.13 | | sculpture | 42.38 | 78.38 | | hood | 66.58 | 79.42 | | sconce | 38.13 | 44.62 | | vase | 46.21 | 70.51 | | traffic light | 28.61 | 56.3 | | tray | 1.33 | 1.39 | | ashcan | 49.57 | 73.55 | | fan | 54.26 | 80.69 | | pier | 0.0 | 0.0 | | crt screen | 0.19 | 0.2 | | plate | 53.41 | 84.63 | | monitor | 0.0 | 0.0 | | bulletin board | 2.8 | 2.9 | | shower | 0.0 | 0.0 | | radiator | 51.49 | 58.91 | | glass | 23.28 | 28.81 | | clock | 29.04 | 44.71 | | flag | 48.09 | 60.59 | +---------------------+-------+-------+ 2023-11-21 22:54:53,055 - mmseg - INFO - Summary: 2023-11-21 22:54:53,055 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 81.78 | 39.92 | 53.15 | +-------+-------+-------+ 2023-11-21 22:54:53,353 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_l_640_160k_ade20k_ss/best_mIoU_iter_8000.pth was removed 2023-11-21 22:55:00,201 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_10000.pth. 2023-11-21 22:55:00,201 - mmseg - INFO - Best mIoU is 0.3992 at 10000 iter. 2023-11-21 22:55:00,202 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-21 22:55:00,202 - mmseg - INFO - Iter(val) [250] aAcc: 0.8178, mIoU: 0.3992, mAcc: 0.5315, IoU.wall: 0.7829, IoU.building: 0.8171, IoU.sky: 0.9468, IoU.floor: 0.8231, IoU.tree: 0.7683, IoU.ceiling: 0.8615, IoU.road: 0.7757, IoU.bed : 0.8998, IoU.windowpane: 0.6065, IoU.grass: 0.6282, IoU.cabinet: 0.6113, IoU.sidewalk: 0.5755, IoU.person: 0.8495, IoU.earth: 0.3359, IoU.door: 0.4557, IoU.table: 0.6365, IoU.mountain: 0.6257, IoU.plant: 0.5592, IoU.curtain: 0.7468, IoU.chair: 0.5759, IoU.car: 0.8612, IoU.water: 0.3787, IoU.painting: 0.6557, IoU.sofa: 0.6724, IoU.shelf: 0.4332, IoU.house: 0.4236, IoU.sea: 0.5197, IoU.mirror: 0.7289, IoU.rug: 0.6109, IoU.field: 0.2421, IoU.armchair: 0.3538, IoU.seat: 0.6470, IoU.fence: 0.3782, IoU.desk: 0.3849, IoU.rock: 0.5205, IoU.wardrobe: 0.2982, IoU.lamp: 0.6919, IoU.bathtub: 0.6510, IoU.railing: 0.3039, IoU.cushion: 0.6514, IoU.base: 0.1253, IoU.box: 0.2416, IoU.column: 0.5266, IoU.signboard: 0.4045, IoU.chest of drawers: 0.4867, IoU.counter: 0.4056, IoU.sand: 0.3686, IoU.sink: 0.7307, IoU.skyscraper: 0.3404, IoU.fireplace: 0.7245, IoU.refrigerator: 0.6474, IoU.grandstand: 0.5469, IoU.path: 0.0861, IoU.stairs: 0.3033, IoU.runway: 0.1096, IoU.case: 0.3095, IoU.pool table: 0.8359, IoU.pillow: 0.6272, IoU.screen door: 0.6075, IoU.stairway: 0.2468, IoU.river: 0.0867, IoU.bridge: 0.3928, IoU.bookcase: 0.2891, IoU.blind: 0.3041, IoU.coffee table: 0.6178, IoU.toilet: 0.8599, IoU.flower: 0.4255, IoU.book: 0.4761, IoU.hill: 0.0057, IoU.bench: 0.3501, IoU.countertop: 0.5129, IoU.stove: 0.7202, IoU.palm: 0.5144, IoU.kitchen island: 0.3296, IoU.computer: 0.7214, IoU.swivel chair: 0.4246, IoU.boat: 0.5445, IoU.bar: 0.0000, IoU.arcade machine: 0.1115, IoU.hovel: 0.0000, IoU.bus: 0.9264, IoU.towel: 0.4567, IoU.light: 0.5947, IoU.truck: 0.3399, IoU.tower: 0.1523, IoU.chandelier: 0.6463, IoU.awning: 0.2579, IoU.streetlight: 0.3533, IoU.booth: 0.0000, IoU.television receiver: 0.7174, IoU.airplane: 0.4003, IoU.dirt track: 0.0000, IoU.apparel: 0.2461, IoU.pole: 0.2878, IoU.land: 0.0000, IoU.bannister: 0.0795, IoU.escalator: 0.0000, IoU.ottoman: 0.5287, IoU.bottle: 0.2696, IoU.buffet: 0.0000, IoU.poster: 0.0112, IoU.stage: 0.0000, IoU.van: 0.4806, IoU.ship: 0.0000, IoU.fountain: 0.0000, IoU.conveyer belt: 0.0000, IoU.canopy: 0.0000, IoU.washer: 0.2266, IoU.plaything: 0.1637, IoU.swimming pool: 0.2010, IoU.stool: 0.4290, IoU.barrel: 0.0000, IoU.basket: 0.2897, IoU.waterfall: 0.5822, IoU.tent: 0.0000, IoU.bag: 0.2342, IoU.minibike: 0.6766, IoU.cradle: 0.0000, IoU.oven: 0.1832, IoU.ball: 0.4084, IoU.food: 0.5767, IoU.step: 0.0434, IoU.tank: 0.0000, IoU.trade name: 0.3239, IoU.microwave: 0.4232, IoU.pot: 0.3987, IoU.animal: 0.5998, IoU.bicycle: 0.5591, IoU.lake: 0.0000, IoU.dishwasher: 0.4019, IoU.screen: 0.3748, IoU.blanket: 0.0301, IoU.sculpture: 0.4238, IoU.hood: 0.6658, IoU.sconce: 0.3813, IoU.vase: 0.4621, IoU.traffic light: 0.2861, IoU.tray: 0.0133, IoU.ashcan: 0.4957, IoU.fan: 0.5426, IoU.pier: 0.0000, IoU.crt screen: 0.0019, IoU.plate: 0.5341, IoU.monitor: 0.0000, IoU.bulletin board: 0.0280, IoU.shower: 0.0000, IoU.radiator: 0.5149, IoU.glass: 0.2328, IoU.clock: 0.2904, IoU.flag: 0.4809, Acc.wall: 0.8889, Acc.building: 0.8939, Acc.sky: 0.9735, Acc.floor: 0.8791, Acc.tree: 0.8656, Acc.ceiling: 0.9216, Acc.road: 0.8914, Acc.bed : 0.9604, Acc.windowpane: 0.7916, Acc.grass: 0.7613, Acc.cabinet: 0.7261, Acc.sidewalk: 0.8775, Acc.person: 0.9398, Acc.earth: 0.4056, Acc.door: 0.6427, Acc.table: 0.8230, Acc.mountain: 0.8316, Acc.plant: 0.7582, Acc.curtain: 0.8679, Acc.chair: 0.7316, Acc.car: 0.9320, Acc.water: 0.4692, Acc.painting: 0.9132, Acc.sofa: 0.8697, Acc.shelf: 0.7280, Acc.house: 0.6779, Acc.sea: 0.8005, Acc.mirror: 0.8413, Acc.rug: 0.7092, Acc.field: 0.5830, Acc.armchair: 0.5214, Acc.seat: 0.7848, Acc.fence: 0.5548, Acc.desk: 0.4854, Acc.rock: 0.6534, Acc.wardrobe: 0.4062, Acc.lamp: 0.8103, Acc.bathtub: 0.8181, Acc.railing: 0.7067, Acc.cushion: 0.8525, Acc.base: 0.1395, Acc.box: 0.4406, Acc.column: 0.7418, Acc.signboard: 0.6280, Acc.chest of drawers: 0.7815, Acc.counter: 0.5075, Acc.sand: 0.4629, Acc.sink: 0.8373, Acc.skyscraper: 0.4484, Acc.fireplace: 0.9081, Acc.refrigerator: 0.9183, Acc.grandstand: 0.6912, Acc.path: 0.1392, Acc.stairs: 0.4023, Acc.runway: 0.1098, Acc.case: 0.3300, Acc.pool table: 0.9587, Acc.pillow: 0.7738, Acc.screen door: 0.7554, Acc.stairway: 0.4420, Acc.river: 0.2063, Acc.bridge: 0.4887, Acc.bookcase: 0.4116, Acc.blind: 0.3532, Acc.coffee table: 0.8001, Acc.toilet: 0.9281, Acc.flower: 0.6290, Acc.book: 0.7809, Acc.hill: 0.0057, Acc.bench: 0.4121, Acc.countertop: 0.7262, Acc.stove: 0.8691, Acc.palm: 0.8331, Acc.kitchen island: 0.6257, Acc.computer: 0.9098, Acc.swivel chair: 0.5361, Acc.boat: 0.7293, Acc.bar: 0.0000, Acc.arcade machine: 0.1121, Acc.hovel: 0.0000, Acc.bus: 0.9615, Acc.towel: 0.9011, Acc.light: 0.7106, Acc.truck: 0.6070, Acc.tower: 0.2249, Acc.chandelier: 0.8230, Acc.awning: 0.5937, Acc.streetlight: 0.5861, Acc.booth: 0.0000, Acc.television receiver: 0.8014, Acc.airplane: 0.6676, Acc.dirt track: 0.0000, Acc.apparel: 0.3736, Acc.pole: 0.5114, Acc.land: 0.0000, Acc.bannister: 0.1093, Acc.escalator: 0.0000, Acc.ottoman: 0.7379, Acc.bottle: 0.4153, Acc.buffet: 0.0000, Acc.poster: 0.0160, Acc.stage: 0.0000, Acc.van: 0.7258, Acc.ship: 0.0000, Acc.fountain: 0.0000, Acc.conveyer belt: 0.0000, Acc.canopy: 0.0000, Acc.washer: 0.2269, Acc.plaything: 0.1911, Acc.swimming pool: 0.2085, Acc.stool: 0.6261, Acc.barrel: 0.0000, Acc.basket: 0.5382, Acc.waterfall: 0.8468, Acc.tent: 0.0000, Acc.bag: 0.3050, Acc.minibike: 0.8532, Acc.cradle: 0.0000, Acc.oven: 0.5074, Acc.ball: 0.5145, Acc.food: 0.6287, Acc.step: 0.0442, Acc.tank: 0.0000, Acc.trade name: 0.4755, Acc.microwave: 0.4615, Acc.pot: 0.4589, Acc.animal: 0.6148, Acc.bicycle: 0.8713, Acc.lake: 0.0000, Acc.dishwasher: 0.7545, Acc.screen: 0.8216, Acc.blanket: 0.0313, Acc.sculpture: 0.7838, Acc.hood: 0.7942, Acc.sconce: 0.4462, Acc.vase: 0.7051, Acc.traffic light: 0.5630, Acc.tray: 0.0139, Acc.ashcan: 0.7355, Acc.fan: 0.8069, Acc.pier: 0.0000, Acc.crt screen: 0.0020, Acc.plate: 0.8463, Acc.monitor: 0.0000, Acc.bulletin board: 0.0290, Acc.shower: 0.0000, Acc.radiator: 0.5891, Acc.glass: 0.2881, Acc.clock: 0.4471, Acc.flag: 0.6059 2023-11-21 22:55:28,388 - mmseg - INFO - Iter [10050/160000] lr: 8.927e-06, eta: 1 day, 0:52:19, time: 1.099, data_time: 0.549, memory: 38143, decode.loss_cls: 0.8069, decode.loss_mask: 0.7944, decode.loss_dice: 1.1174, decode.d0.loss_cls: 2.2960, decode.d0.loss_mask: 0.8133, decode.d0.loss_dice: 1.3398, decode.d1.loss_cls: 0.9960, decode.d1.loss_mask: 0.8116, decode.d1.loss_dice: 1.1800, decode.d2.loss_cls: 0.8627, decode.d2.loss_mask: 0.8013, decode.d2.loss_dice: 1.1342, decode.d3.loss_cls: 0.8302, decode.d3.loss_mask: 0.7909, decode.d3.loss_dice: 1.1188, decode.d4.loss_cls: 0.8221, decode.d4.loss_mask: 0.7947, decode.d4.loss_dice: 1.1215, decode.d5.loss_cls: 0.8132, decode.d5.loss_mask: 0.7939, decode.d5.loss_dice: 1.1138, decode.d6.loss_cls: 0.8091, decode.d6.loss_mask: 0.7914, decode.d6.loss_dice: 1.1093, decode.d7.loss_cls: 0.8015, decode.d7.loss_mask: 0.7930, decode.d7.loss_dice: 1.1156, decode.d8.loss_cls: 0.8095, decode.d8.loss_mask: 0.7944, decode.d8.loss_dice: 1.1151, loss: 29.2915, grad_norm: 81.0698 2023-11-21 22:55:56,626 - mmseg - INFO - Iter [10100/160000] lr: 8.924e-06, eta: 1 day, 0:51:25, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.8302, decode.loss_mask: 0.7838, decode.loss_dice: 1.1294, decode.d0.loss_cls: 2.3964, decode.d0.loss_mask: 0.8096, decode.d0.loss_dice: 1.3732, decode.d1.loss_cls: 1.0319, decode.d1.loss_mask: 0.8080, decode.d1.loss_dice: 1.2165, decode.d2.loss_cls: 0.9018, decode.d2.loss_mask: 0.7878, decode.d2.loss_dice: 1.1599, decode.d3.loss_cls: 0.8660, decode.d3.loss_mask: 0.7823, decode.d3.loss_dice: 1.1322, decode.d4.loss_cls: 0.8514, decode.d4.loss_mask: 0.7825, decode.d4.loss_dice: 1.1403, decode.d5.loss_cls: 0.8351, decode.d5.loss_mask: 0.7842, decode.d5.loss_dice: 1.1430, decode.d6.loss_cls: 0.8347, decode.d6.loss_mask: 0.7774, decode.d6.loss_dice: 1.1281, decode.d7.loss_cls: 0.8304, decode.d7.loss_mask: 0.7847, decode.d7.loss_dice: 1.1390, decode.d8.loss_cls: 0.8278, decode.d8.loss_mask: 0.7883, decode.d8.loss_dice: 1.1401, loss: 29.7961, grad_norm: 82.4159 2023-11-21 22:56:27,331 - mmseg - INFO - Iter [10150/160000] lr: 8.921e-06, eta: 1 day, 0:51:08, time: 0.614, data_time: 0.060, memory: 38143, decode.loss_cls: 0.8337, decode.loss_mask: 0.7543, decode.loss_dice: 1.0964, decode.d0.loss_cls: 2.3704, decode.d0.loss_mask: 0.7927, decode.d0.loss_dice: 1.3527, decode.d1.loss_cls: 1.0164, decode.d1.loss_mask: 0.7863, decode.d1.loss_dice: 1.1887, decode.d2.loss_cls: 0.8947, decode.d2.loss_mask: 0.7682, decode.d2.loss_dice: 1.1297, decode.d3.loss_cls: 0.8627, decode.d3.loss_mask: 0.7599, decode.d3.loss_dice: 1.0996, decode.d4.loss_cls: 0.8477, decode.d4.loss_mask: 0.7572, decode.d4.loss_dice: 1.1067, decode.d5.loss_cls: 0.8325, decode.d5.loss_mask: 0.7557, decode.d5.loss_dice: 1.1074, decode.d6.loss_cls: 0.8288, decode.d6.loss_mask: 0.7602, decode.d6.loss_dice: 1.0921, decode.d7.loss_cls: 0.8276, decode.d7.loss_mask: 0.7554, decode.d7.loss_dice: 1.1038, decode.d8.loss_cls: 0.8226, decode.d8.loss_mask: 0.7623, decode.d8.loss_dice: 1.1051, loss: 29.1717, grad_norm: 76.7890 2023-11-21 22:56:55,633 - mmseg - INFO - Iter [10200/160000] lr: 8.918e-06, eta: 1 day, 0:50:15, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.8072, decode.loss_mask: 0.7440, decode.loss_dice: 1.0943, decode.d0.loss_cls: 2.3283, decode.d0.loss_mask: 0.7843, decode.d0.loss_dice: 1.3357, decode.d1.loss_cls: 1.0191, decode.d1.loss_mask: 0.7874, decode.d1.loss_dice: 1.1964, decode.d2.loss_cls: 0.8808, decode.d2.loss_mask: 0.7657, decode.d2.loss_dice: 1.1329, decode.d3.loss_cls: 0.8432, decode.d3.loss_mask: 0.7569, decode.d3.loss_dice: 1.1037, decode.d4.loss_cls: 0.8357, decode.d4.loss_mask: 0.7538, decode.d4.loss_dice: 1.1137, decode.d5.loss_cls: 0.8189, decode.d5.loss_mask: 0.7603, decode.d5.loss_dice: 1.1118, decode.d6.loss_cls: 0.8147, decode.d6.loss_mask: 0.7525, decode.d6.loss_dice: 1.1063, decode.d7.loss_cls: 0.8050, decode.d7.loss_mask: 0.7490, decode.d7.loss_dice: 1.0991, decode.d8.loss_cls: 0.8026, decode.d8.loss_mask: 0.7510, decode.d8.loss_dice: 1.0983, loss: 28.9523, grad_norm: 79.3860 2023-11-21 22:57:23,956 - mmseg - INFO - Iter [10250/160000] lr: 8.915e-06, eta: 1 day, 0:49:23, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7939, decode.loss_mask: 0.7861, decode.loss_dice: 1.1386, decode.d0.loss_cls: 2.3418, decode.d0.loss_mask: 0.8044, decode.d0.loss_dice: 1.3599, decode.d1.loss_cls: 0.9849, decode.d1.loss_mask: 0.8041, decode.d1.loss_dice: 1.2199, decode.d2.loss_cls: 0.8446, decode.d2.loss_mask: 0.7926, decode.d2.loss_dice: 1.1665, decode.d3.loss_cls: 0.8152, decode.d3.loss_mask: 0.7829, decode.d3.loss_dice: 1.1405, decode.d4.loss_cls: 0.8050, decode.d4.loss_mask: 0.7827, decode.d4.loss_dice: 1.1442, decode.d5.loss_cls: 0.7981, decode.d5.loss_mask: 0.7822, decode.d5.loss_dice: 1.1401, decode.d6.loss_cls: 0.7912, decode.d6.loss_mask: 0.7816, decode.d6.loss_dice: 1.1360, decode.d7.loss_cls: 0.7933, decode.d7.loss_mask: 0.7802, decode.d7.loss_dice: 1.1382, decode.d8.loss_cls: 0.7928, decode.d8.loss_mask: 0.7779, decode.d8.loss_dice: 1.1384, loss: 29.3575, grad_norm: 80.9849 2023-11-21 22:57:52,380 - mmseg - INFO - Iter [10300/160000] lr: 8.912e-06, eta: 1 day, 0:48:33, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7945, decode.loss_mask: 0.7732, decode.loss_dice: 1.1069, decode.d0.loss_cls: 2.3099, decode.d0.loss_mask: 0.7921, decode.d0.loss_dice: 1.3538, decode.d1.loss_cls: 0.9939, decode.d1.loss_mask: 0.7976, decode.d1.loss_dice: 1.2013, decode.d2.loss_cls: 0.8659, decode.d2.loss_mask: 0.7812, decode.d2.loss_dice: 1.1453, decode.d3.loss_cls: 0.8232, decode.d3.loss_mask: 0.7751, decode.d3.loss_dice: 1.1230, decode.d4.loss_cls: 0.8168, decode.d4.loss_mask: 0.7746, decode.d4.loss_dice: 1.1294, decode.d5.loss_cls: 0.8069, decode.d5.loss_mask: 0.7748, decode.d5.loss_dice: 1.1170, decode.d6.loss_cls: 0.7959, decode.d6.loss_mask: 0.7759, decode.d6.loss_dice: 1.1155, decode.d7.loss_cls: 0.7935, decode.d7.loss_mask: 0.7734, decode.d7.loss_dice: 1.1095, decode.d8.loss_cls: 0.7912, decode.d8.loss_mask: 0.7743, decode.d8.loss_dice: 1.1062, loss: 29.0918, grad_norm: 81.5342 2023-11-21 22:58:20,752 - mmseg - INFO - Iter [10350/160000] lr: 8.909e-06, eta: 1 day, 0:47:42, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7961, decode.loss_mask: 0.7349, decode.loss_dice: 1.0770, decode.d0.loss_cls: 2.3589, decode.d0.loss_mask: 0.7700, decode.d0.loss_dice: 1.3248, decode.d1.loss_cls: 0.9938, decode.d1.loss_mask: 0.7616, decode.d1.loss_dice: 1.1781, decode.d2.loss_cls: 0.8655, decode.d2.loss_mask: 0.7486, decode.d2.loss_dice: 1.1194, decode.d3.loss_cls: 0.8218, decode.d3.loss_mask: 0.7330, decode.d3.loss_dice: 1.1002, decode.d4.loss_cls: 0.8097, decode.d4.loss_mask: 0.7377, decode.d4.loss_dice: 1.1077, decode.d5.loss_cls: 0.7983, decode.d5.loss_mask: 0.7348, decode.d5.loss_dice: 1.1008, decode.d6.loss_cls: 0.7972, decode.d6.loss_mask: 0.7328, decode.d6.loss_dice: 1.0887, decode.d7.loss_cls: 0.7988, decode.d7.loss_mask: 0.7338, decode.d7.loss_dice: 1.0906, decode.d8.loss_cls: 0.7957, decode.d8.loss_mask: 0.7320, decode.d8.loss_dice: 1.0864, loss: 28.5288, grad_norm: 78.9525 2023-11-21 22:58:49,022 - mmseg - INFO - Iter [10400/160000] lr: 8.906e-06, eta: 1 day, 0:46:50, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7902, decode.loss_mask: 0.7896, decode.loss_dice: 1.1065, decode.d0.loss_cls: 2.3226, decode.d0.loss_mask: 0.8087, decode.d0.loss_dice: 1.3357, decode.d1.loss_cls: 0.9968, decode.d1.loss_mask: 0.8160, decode.d1.loss_dice: 1.1868, decode.d2.loss_cls: 0.8550, decode.d2.loss_mask: 0.8002, decode.d2.loss_dice: 1.1431, decode.d3.loss_cls: 0.8218, decode.d3.loss_mask: 0.7899, decode.d3.loss_dice: 1.1122, decode.d4.loss_cls: 0.8181, decode.d4.loss_mask: 0.7894, decode.d4.loss_dice: 1.1078, decode.d5.loss_cls: 0.8013, decode.d5.loss_mask: 0.7909, decode.d5.loss_dice: 1.1103, decode.d6.loss_cls: 0.7928, decode.d6.loss_mask: 0.7932, decode.d6.loss_dice: 1.1040, decode.d7.loss_cls: 0.7871, decode.d7.loss_mask: 0.7937, decode.d7.loss_dice: 1.1013, decode.d8.loss_cls: 0.7902, decode.d8.loss_mask: 0.7963, decode.d8.loss_dice: 1.1029, loss: 29.1545, grad_norm: 82.2526 2023-11-21 22:59:17,347 - mmseg - INFO - Iter [10450/160000] lr: 8.903e-06, eta: 1 day, 0:45:59, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.8083, decode.loss_mask: 0.7505, decode.loss_dice: 1.0874, decode.d0.loss_cls: 2.3260, decode.d0.loss_mask: 0.7788, decode.d0.loss_dice: 1.3188, decode.d1.loss_cls: 1.0194, decode.d1.loss_mask: 0.7697, decode.d1.loss_dice: 1.1719, decode.d2.loss_cls: 0.8836, decode.d2.loss_mask: 0.7593, decode.d2.loss_dice: 1.1226, decode.d3.loss_cls: 0.8396, decode.d3.loss_mask: 0.7474, decode.d3.loss_dice: 1.1069, decode.d4.loss_cls: 0.8252, decode.d4.loss_mask: 0.7509, decode.d4.loss_dice: 1.0991, decode.d5.loss_cls: 0.8164, decode.d5.loss_mask: 0.7554, decode.d5.loss_dice: 1.1002, decode.d6.loss_cls: 0.8071, decode.d6.loss_mask: 0.7506, decode.d6.loss_dice: 1.0919, decode.d7.loss_cls: 0.8037, decode.d7.loss_mask: 0.7533, decode.d7.loss_dice: 1.0895, decode.d8.loss_cls: 0.8051, decode.d8.loss_mask: 0.7521, decode.d8.loss_dice: 1.0948, loss: 28.7854, grad_norm: 77.5897 2023-11-21 22:59:45,658 - mmseg - INFO - Iter [10500/160000] lr: 8.900e-06, eta: 1 day, 0:45:07, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.8131, decode.loss_mask: 0.7550, decode.loss_dice: 1.1434, decode.d0.loss_cls: 2.3583, decode.d0.loss_mask: 0.7824, decode.d0.loss_dice: 1.3877, decode.d1.loss_cls: 1.0057, decode.d1.loss_mask: 0.7893, decode.d1.loss_dice: 1.2418, decode.d2.loss_cls: 0.8781, decode.d2.loss_mask: 0.7722, decode.d2.loss_dice: 1.1808, decode.d3.loss_cls: 0.8502, decode.d3.loss_mask: 0.7596, decode.d3.loss_dice: 1.1534, decode.d4.loss_cls: 0.8389, decode.d4.loss_mask: 0.7596, decode.d4.loss_dice: 1.1516, decode.d5.loss_cls: 0.8195, decode.d5.loss_mask: 0.7569, decode.d5.loss_dice: 1.1446, decode.d6.loss_cls: 0.8164, decode.d6.loss_mask: 0.7525, decode.d6.loss_dice: 1.1474, decode.d7.loss_cls: 0.8097, decode.d7.loss_mask: 0.7572, decode.d7.loss_dice: 1.1495, decode.d8.loss_cls: 0.8093, decode.d8.loss_mask: 0.7595, decode.d8.loss_dice: 1.1474, loss: 29.4909, grad_norm: 74.4072 2023-11-21 23:00:13,994 - mmseg - INFO - Iter [10550/160000] lr: 8.897e-06, eta: 1 day, 0:44:17, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.8248, decode.loss_mask: 0.7476, decode.loss_dice: 1.1131, decode.d0.loss_cls: 2.4047, decode.d0.loss_mask: 0.7850, decode.d0.loss_dice: 1.3518, decode.d1.loss_cls: 1.0304, decode.d1.loss_mask: 0.7819, decode.d1.loss_dice: 1.1919, decode.d2.loss_cls: 0.8948, decode.d2.loss_mask: 0.7710, decode.d2.loss_dice: 1.1459, decode.d3.loss_cls: 0.8605, decode.d3.loss_mask: 0.7493, decode.d3.loss_dice: 1.1122, decode.d4.loss_cls: 0.8481, decode.d4.loss_mask: 0.7487, decode.d4.loss_dice: 1.1178, decode.d5.loss_cls: 0.8358, decode.d5.loss_mask: 0.7504, decode.d5.loss_dice: 1.1212, decode.d6.loss_cls: 0.8275, decode.d6.loss_mask: 0.7427, decode.d6.loss_dice: 1.1015, decode.d7.loss_cls: 0.8308, decode.d7.loss_mask: 0.7518, decode.d7.loss_dice: 1.1167, decode.d8.loss_cls: 0.8222, decode.d8.loss_mask: 0.7488, decode.d8.loss_dice: 1.1106, loss: 29.2396, grad_norm: 80.9842 2023-11-21 23:00:42,367 - mmseg - INFO - Iter [10600/160000] lr: 8.894e-06, eta: 1 day, 0:43:27, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7887, decode.loss_mask: 0.7593, decode.loss_dice: 1.1114, decode.d0.loss_cls: 2.3058, decode.d0.loss_mask: 0.7774, decode.d0.loss_dice: 1.3209, decode.d1.loss_cls: 0.9990, decode.d1.loss_mask: 0.7838, decode.d1.loss_dice: 1.1885, decode.d2.loss_cls: 0.8664, decode.d2.loss_mask: 0.7629, decode.d2.loss_dice: 1.1370, decode.d3.loss_cls: 0.8309, decode.d3.loss_mask: 0.7581, decode.d3.loss_dice: 1.1196, decode.d4.loss_cls: 0.8057, decode.d4.loss_mask: 0.7620, decode.d4.loss_dice: 1.1219, decode.d5.loss_cls: 0.7982, decode.d5.loss_mask: 0.7599, decode.d5.loss_dice: 1.1164, decode.d6.loss_cls: 0.8026, decode.d6.loss_mask: 0.7610, decode.d6.loss_dice: 1.1067, decode.d7.loss_cls: 0.7908, decode.d7.loss_mask: 0.7642, decode.d7.loss_dice: 1.1052, decode.d8.loss_cls: 0.7898, decode.d8.loss_mask: 0.7518, decode.d8.loss_dice: 1.1100, loss: 28.8559, grad_norm: 76.5021 2023-11-21 23:01:10,786 - mmseg - INFO - Iter [10650/160000] lr: 8.891e-06, eta: 1 day, 0:42:38, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.8211, decode.loss_mask: 0.7949, decode.loss_dice: 1.1221, decode.d0.loss_cls: 2.3535, decode.d0.loss_mask: 0.8251, decode.d0.loss_dice: 1.3712, decode.d1.loss_cls: 1.0252, decode.d1.loss_mask: 0.8190, decode.d1.loss_dice: 1.2131, decode.d2.loss_cls: 0.9027, decode.d2.loss_mask: 0.7990, decode.d2.loss_dice: 1.1534, decode.d3.loss_cls: 0.8540, decode.d3.loss_mask: 0.7965, decode.d3.loss_dice: 1.1297, decode.d4.loss_cls: 0.8495, decode.d4.loss_mask: 0.7936, decode.d4.loss_dice: 1.1327, decode.d5.loss_cls: 0.8305, decode.d5.loss_mask: 0.7892, decode.d5.loss_dice: 1.1327, decode.d6.loss_cls: 0.8257, decode.d6.loss_mask: 0.7897, decode.d6.loss_dice: 1.1167, decode.d7.loss_cls: 0.8138, decode.d7.loss_mask: 0.7907, decode.d7.loss_dice: 1.1333, decode.d8.loss_cls: 0.8174, decode.d8.loss_mask: 0.7934, decode.d8.loss_dice: 1.1227, loss: 29.7123, grad_norm: 78.4148 2023-11-21 23:01:39,049 - mmseg - INFO - Iter [10700/160000] lr: 8.888e-06, eta: 1 day, 0:41:47, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7964, decode.loss_mask: 0.7323, decode.loss_dice: 1.0763, decode.d0.loss_cls: 2.3386, decode.d0.loss_mask: 0.7590, decode.d0.loss_dice: 1.2992, decode.d1.loss_cls: 0.9960, decode.d1.loss_mask: 0.7628, decode.d1.loss_dice: 1.1677, decode.d2.loss_cls: 0.8671, decode.d2.loss_mask: 0.7445, decode.d2.loss_dice: 1.1134, decode.d3.loss_cls: 0.8380, decode.d3.loss_mask: 0.7324, decode.d3.loss_dice: 1.0917, decode.d4.loss_cls: 0.8232, decode.d4.loss_mask: 0.7318, decode.d4.loss_dice: 1.0907, decode.d5.loss_cls: 0.8054, decode.d5.loss_mask: 0.7367, decode.d5.loss_dice: 1.0879, decode.d6.loss_cls: 0.7979, decode.d6.loss_mask: 0.7350, decode.d6.loss_dice: 1.0761, decode.d7.loss_cls: 0.7956, decode.d7.loss_mask: 0.7348, decode.d7.loss_dice: 1.0740, decode.d8.loss_cls: 0.7998, decode.d8.loss_mask: 0.7312, decode.d8.loss_dice: 1.0768, loss: 28.4123, grad_norm: 82.8491 2023-11-21 23:02:07,268 - mmseg - INFO - Iter [10750/160000] lr: 8.885e-06, eta: 1 day, 0:40:56, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7652, decode.loss_mask: 0.7748, decode.loss_dice: 1.1108, decode.d0.loss_cls: 2.3436, decode.d0.loss_mask: 0.8047, decode.d0.loss_dice: 1.3333, decode.d1.loss_cls: 0.9775, decode.d1.loss_mask: 0.8003, decode.d1.loss_dice: 1.1933, decode.d2.loss_cls: 0.8415, decode.d2.loss_mask: 0.7827, decode.d2.loss_dice: 1.1433, decode.d3.loss_cls: 0.8027, decode.d3.loss_mask: 0.7854, decode.d3.loss_dice: 1.1202, decode.d4.loss_cls: 0.7938, decode.d4.loss_mask: 0.7810, decode.d4.loss_dice: 1.1235, decode.d5.loss_cls: 0.7773, decode.d5.loss_mask: 0.7773, decode.d5.loss_dice: 1.1178, decode.d6.loss_cls: 0.7687, decode.d6.loss_mask: 0.7804, decode.d6.loss_dice: 1.1169, decode.d7.loss_cls: 0.7616, decode.d7.loss_mask: 0.7777, decode.d7.loss_dice: 1.1137, decode.d8.loss_cls: 0.7662, decode.d8.loss_mask: 0.7760, decode.d8.loss_dice: 1.1146, loss: 28.9258, grad_norm: 79.7638 2023-11-21 23:02:35,440 - mmseg - INFO - Iter [10800/160000] lr: 8.882e-06, eta: 1 day, 0:40:04, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7952, decode.loss_mask: 0.7382, decode.loss_dice: 1.0819, decode.d0.loss_cls: 2.2839, decode.d0.loss_mask: 0.7778, decode.d0.loss_dice: 1.2986, decode.d1.loss_cls: 0.9902, decode.d1.loss_mask: 0.7719, decode.d1.loss_dice: 1.1621, decode.d2.loss_cls: 0.8536, decode.d2.loss_mask: 0.7573, decode.d2.loss_dice: 1.1178, decode.d3.loss_cls: 0.8222, decode.d3.loss_mask: 0.7484, decode.d3.loss_dice: 1.0929, decode.d4.loss_cls: 0.8184, decode.d4.loss_mask: 0.7432, decode.d4.loss_dice: 1.0909, decode.d5.loss_cls: 0.8067, decode.d5.loss_mask: 0.7390, decode.d5.loss_dice: 1.0889, decode.d6.loss_cls: 0.7979, decode.d6.loss_mask: 0.7368, decode.d6.loss_dice: 1.0817, decode.d7.loss_cls: 0.7943, decode.d7.loss_mask: 0.7355, decode.d7.loss_dice: 1.0780, decode.d8.loss_cls: 0.7935, decode.d8.loss_mask: 0.7425, decode.d8.loss_dice: 1.0815, loss: 28.4207, grad_norm: 78.9138 2023-11-21 23:03:03,743 - mmseg - INFO - Iter [10850/160000] lr: 8.879e-06, eta: 1 day, 0:39:14, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.8065, decode.loss_mask: 0.7811, decode.loss_dice: 1.1075, decode.d0.loss_cls: 2.3250, decode.d0.loss_mask: 0.8217, decode.d0.loss_dice: 1.3417, decode.d1.loss_cls: 0.9939, decode.d1.loss_mask: 0.8147, decode.d1.loss_dice: 1.1938, decode.d2.loss_cls: 0.8838, decode.d2.loss_mask: 0.7943, decode.d2.loss_dice: 1.1513, decode.d3.loss_cls: 0.8353, decode.d3.loss_mask: 0.7864, decode.d3.loss_dice: 1.1290, decode.d4.loss_cls: 0.8291, decode.d4.loss_mask: 0.7899, decode.d4.loss_dice: 1.1264, decode.d5.loss_cls: 0.8216, decode.d5.loss_mask: 0.7887, decode.d5.loss_dice: 1.1133, decode.d6.loss_cls: 0.8090, decode.d6.loss_mask: 0.7868, decode.d6.loss_dice: 1.1055, decode.d7.loss_cls: 0.8134, decode.d7.loss_mask: 0.7850, decode.d7.loss_dice: 1.1115, decode.d8.loss_cls: 0.8055, decode.d8.loss_mask: 0.7822, decode.d8.loss_dice: 1.1106, loss: 29.3446, grad_norm: 79.3222 2023-11-21 23:03:32,118 - mmseg - INFO - Iter [10900/160000] lr: 8.876e-06, eta: 1 day, 0:38:25, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7903, decode.loss_mask: 0.7606, decode.loss_dice: 1.0960, decode.d0.loss_cls: 2.2553, decode.d0.loss_mask: 0.7980, decode.d0.loss_dice: 1.3179, decode.d1.loss_cls: 0.9918, decode.d1.loss_mask: 0.7854, decode.d1.loss_dice: 1.1747, decode.d2.loss_cls: 0.8637, decode.d2.loss_mask: 0.7665, decode.d2.loss_dice: 1.1214, decode.d3.loss_cls: 0.8299, decode.d3.loss_mask: 0.7552, decode.d3.loss_dice: 1.0964, decode.d4.loss_cls: 0.8094, decode.d4.loss_mask: 0.7623, decode.d4.loss_dice: 1.1013, decode.d5.loss_cls: 0.8041, decode.d5.loss_mask: 0.7607, decode.d5.loss_dice: 1.0973, decode.d6.loss_cls: 0.7995, decode.d6.loss_mask: 0.7602, decode.d6.loss_dice: 1.0846, decode.d7.loss_cls: 0.7971, decode.d7.loss_mask: 0.7646, decode.d7.loss_dice: 1.0896, decode.d8.loss_cls: 0.7848, decode.d8.loss_mask: 0.7616, decode.d8.loss_dice: 1.0943, loss: 28.6747, grad_norm: 81.3006 2023-11-21 23:04:00,554 - mmseg - INFO - Iter [10950/160000] lr: 8.873e-06, eta: 1 day, 0:37:38, time: 0.569, data_time: 0.015, memory: 38143, decode.loss_cls: 0.8156, decode.loss_mask: 0.7570, decode.loss_dice: 1.1379, decode.d0.loss_cls: 2.3323, decode.d0.loss_mask: 0.7872, decode.d0.loss_dice: 1.3671, decode.d1.loss_cls: 1.0123, decode.d1.loss_mask: 0.7813, decode.d1.loss_dice: 1.2159, decode.d2.loss_cls: 0.8863, decode.d2.loss_mask: 0.7647, decode.d2.loss_dice: 1.1774, decode.d3.loss_cls: 0.8535, decode.d3.loss_mask: 0.7573, decode.d3.loss_dice: 1.1512, decode.d4.loss_cls: 0.8388, decode.d4.loss_mask: 0.7580, decode.d4.loss_dice: 1.1527, decode.d5.loss_cls: 0.8342, decode.d5.loss_mask: 0.7556, decode.d5.loss_dice: 1.1475, decode.d6.loss_cls: 0.8238, decode.d6.loss_mask: 0.7529, decode.d6.loss_dice: 1.1391, decode.d7.loss_cls: 0.8123, decode.d7.loss_mask: 0.7542, decode.d7.loss_dice: 1.1497, decode.d8.loss_cls: 0.8104, decode.d8.loss_mask: 0.7572, decode.d8.loss_dice: 1.1487, loss: 29.4320, grad_norm: 78.6419 2023-11-21 23:04:28,741 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-21 23:04:28,741 - mmseg - INFO - Iter [11000/160000] lr: 8.870e-06, eta: 1 day, 0:36:47, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7818, decode.loss_mask: 0.7269, decode.loss_dice: 1.0604, decode.d0.loss_cls: 2.3052, decode.d0.loss_mask: 0.7602, decode.d0.loss_dice: 1.3077, decode.d1.loss_cls: 0.9763, decode.d1.loss_mask: 0.7512, decode.d1.loss_dice: 1.1535, decode.d2.loss_cls: 0.8487, decode.d2.loss_mask: 0.7244, decode.d2.loss_dice: 1.0960, decode.d3.loss_cls: 0.8143, decode.d3.loss_mask: 0.7191, decode.d3.loss_dice: 1.0726, decode.d4.loss_cls: 0.8022, decode.d4.loss_mask: 0.7232, decode.d4.loss_dice: 1.0666, decode.d5.loss_cls: 0.7901, decode.d5.loss_mask: 0.7241, decode.d5.loss_dice: 1.0606, decode.d6.loss_cls: 0.7932, decode.d6.loss_mask: 0.7195, decode.d6.loss_dice: 1.0593, decode.d7.loss_cls: 0.7801, decode.d7.loss_mask: 0.7247, decode.d7.loss_dice: 1.0592, decode.d8.loss_cls: 0.7843, decode.d8.loss_mask: 0.7244, decode.d8.loss_dice: 1.0640, loss: 27.9738, grad_norm: 79.6126 2023-11-21 23:04:57,007 - mmseg - INFO - Iter [11050/160000] lr: 8.867e-06, eta: 1 day, 0:35:57, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7846, decode.loss_mask: 0.7435, decode.loss_dice: 1.0772, decode.d0.loss_cls: 2.3244, decode.d0.loss_mask: 0.7772, decode.d0.loss_dice: 1.2915, decode.d1.loss_cls: 0.9640, decode.d1.loss_mask: 0.7717, decode.d1.loss_dice: 1.1581, decode.d2.loss_cls: 0.8580, decode.d2.loss_mask: 0.7569, decode.d2.loss_dice: 1.1065, decode.d3.loss_cls: 0.8245, decode.d3.loss_mask: 0.7487, decode.d3.loss_dice: 1.0808, decode.d4.loss_cls: 0.8071, decode.d4.loss_mask: 0.7454, decode.d4.loss_dice: 1.0855, decode.d5.loss_cls: 0.8024, decode.d5.loss_mask: 0.7468, decode.d5.loss_dice: 1.0787, decode.d6.loss_cls: 0.7895, decode.d6.loss_mask: 0.7445, decode.d6.loss_dice: 1.0693, decode.d7.loss_cls: 0.7885, decode.d7.loss_mask: 0.7444, decode.d7.loss_dice: 1.0807, decode.d8.loss_cls: 0.7821, decode.d8.loss_mask: 0.7452, decode.d8.loss_dice: 1.0784, loss: 28.3562, grad_norm: 76.4791 2023-11-21 23:05:25,234 - mmseg - INFO - Iter [11100/160000] lr: 8.864e-06, eta: 1 day, 0:35:08, time: 0.564, data_time: 0.015, memory: 38143, decode.loss_cls: 0.7901, decode.loss_mask: 0.7459, decode.loss_dice: 1.0937, decode.d0.loss_cls: 2.3070, decode.d0.loss_mask: 0.7731, decode.d0.loss_dice: 1.3114, decode.d1.loss_cls: 0.9972, decode.d1.loss_mask: 0.7721, decode.d1.loss_dice: 1.1794, decode.d2.loss_cls: 0.8563, decode.d2.loss_mask: 0.7534, decode.d2.loss_dice: 1.1191, decode.d3.loss_cls: 0.8171, decode.d3.loss_mask: 0.7456, decode.d3.loss_dice: 1.1033, decode.d4.loss_cls: 0.8086, decode.d4.loss_mask: 0.7449, decode.d4.loss_dice: 1.1108, decode.d5.loss_cls: 0.8030, decode.d5.loss_mask: 0.7472, decode.d5.loss_dice: 1.0998, decode.d6.loss_cls: 0.7827, decode.d6.loss_mask: 0.7515, decode.d6.loss_dice: 1.1018, decode.d7.loss_cls: 0.7845, decode.d7.loss_mask: 0.7475, decode.d7.loss_dice: 1.1092, decode.d8.loss_cls: 0.7834, decode.d8.loss_mask: 0.7523, decode.d8.loss_dice: 1.1046, loss: 28.5966, grad_norm: 78.0527 2023-11-21 23:05:53,637 - mmseg - INFO - Iter [11150/160000] lr: 8.861e-06, eta: 1 day, 0:34:20, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7905, decode.loss_mask: 0.7249, decode.loss_dice: 1.0811, decode.d0.loss_cls: 2.3239, decode.d0.loss_mask: 0.7488, decode.d0.loss_dice: 1.3003, decode.d1.loss_cls: 0.9756, decode.d1.loss_mask: 0.7500, decode.d1.loss_dice: 1.1696, decode.d2.loss_cls: 0.8556, decode.d2.loss_mask: 0.7393, decode.d2.loss_dice: 1.1134, decode.d3.loss_cls: 0.8179, decode.d3.loss_mask: 0.7271, decode.d3.loss_dice: 1.0854, decode.d4.loss_cls: 0.8097, decode.d4.loss_mask: 0.7335, decode.d4.loss_dice: 1.0875, decode.d5.loss_cls: 0.7956, decode.d5.loss_mask: 0.7300, decode.d5.loss_dice: 1.0919, decode.d6.loss_cls: 0.7850, decode.d6.loss_mask: 0.7318, decode.d6.loss_dice: 1.0819, decode.d7.loss_cls: 0.7863, decode.d7.loss_mask: 0.7361, decode.d7.loss_dice: 1.0842, decode.d8.loss_cls: 0.7883, decode.d8.loss_mask: 0.7284, decode.d8.loss_dice: 1.0884, loss: 28.2618, grad_norm: 79.7055 2023-11-21 23:06:22,171 - mmseg - INFO - Iter [11200/160000] lr: 8.858e-06, eta: 1 day, 0:33:34, time: 0.569, data_time: 0.015, memory: 38143, decode.loss_cls: 0.7716, decode.loss_mask: 0.7571, decode.loss_dice: 1.0921, decode.d0.loss_cls: 2.2795, decode.d0.loss_mask: 0.7841, decode.d0.loss_dice: 1.3162, decode.d1.loss_cls: 0.9786, decode.d1.loss_mask: 0.7766, decode.d1.loss_dice: 1.1772, decode.d2.loss_cls: 0.8498, decode.d2.loss_mask: 0.7629, decode.d2.loss_dice: 1.1293, decode.d3.loss_cls: 0.8124, decode.d3.loss_mask: 0.7570, decode.d3.loss_dice: 1.1066, decode.d4.loss_cls: 0.7888, decode.d4.loss_mask: 0.7598, decode.d4.loss_dice: 1.1116, decode.d5.loss_cls: 0.7857, decode.d5.loss_mask: 0.7579, decode.d5.loss_dice: 1.1024, decode.d6.loss_cls: 0.7725, decode.d6.loss_mask: 0.7583, decode.d6.loss_dice: 1.0983, decode.d7.loss_cls: 0.7648, decode.d7.loss_mask: 0.7545, decode.d7.loss_dice: 1.1015, decode.d8.loss_cls: 0.7666, decode.d8.loss_mask: 0.7577, decode.d8.loss_dice: 1.1012, loss: 28.5325, grad_norm: 78.7672 2023-11-21 23:06:50,449 - mmseg - INFO - Iter [11250/160000] lr: 8.855e-06, eta: 1 day, 0:32:46, time: 0.568, data_time: 0.015, memory: 38143, decode.loss_cls: 0.7389, decode.loss_mask: 0.7698, decode.loss_dice: 1.0635, decode.d0.loss_cls: 2.2304, decode.d0.loss_mask: 0.8084, decode.d0.loss_dice: 1.2772, decode.d1.loss_cls: 0.9245, decode.d1.loss_mask: 0.7975, decode.d1.loss_dice: 1.1468, decode.d2.loss_cls: 0.7983, decode.d2.loss_mask: 0.7800, decode.d2.loss_dice: 1.0921, decode.d3.loss_cls: 0.7662, decode.d3.loss_mask: 0.7755, decode.d3.loss_dice: 1.0718, decode.d4.loss_cls: 0.7531, decode.d4.loss_mask: 0.7726, decode.d4.loss_dice: 1.0686, decode.d5.loss_cls: 0.7395, decode.d5.loss_mask: 0.7742, decode.d5.loss_dice: 1.0690, decode.d6.loss_cls: 0.7307, decode.d6.loss_mask: 0.7745, decode.d6.loss_dice: 1.0667, decode.d7.loss_cls: 0.7280, decode.d7.loss_mask: 0.7740, decode.d7.loss_dice: 1.0691, decode.d8.loss_cls: 0.7383, decode.d8.loss_mask: 0.7765, decode.d8.loss_dice: 1.0650, loss: 27.9407, grad_norm: 77.7987 2023-11-21 23:07:18,531 - mmseg - INFO - Iter [11300/160000] lr: 8.852e-06, eta: 1 day, 0:31:55, time: 0.562, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7284, decode.loss_mask: 0.7710, decode.loss_dice: 1.0673, decode.d0.loss_cls: 2.2096, decode.d0.loss_mask: 0.7961, decode.d0.loss_dice: 1.2703, decode.d1.loss_cls: 0.9198, decode.d1.loss_mask: 0.7912, decode.d1.loss_dice: 1.1512, decode.d2.loss_cls: 0.8049, decode.d2.loss_mask: 0.7759, decode.d2.loss_dice: 1.0995, decode.d3.loss_cls: 0.7583, decode.d3.loss_mask: 0.7708, decode.d3.loss_dice: 1.0830, decode.d4.loss_cls: 0.7532, decode.d4.loss_mask: 0.7682, decode.d4.loss_dice: 1.0854, decode.d5.loss_cls: 0.7421, decode.d5.loss_mask: 0.7676, decode.d5.loss_dice: 1.0839, decode.d6.loss_cls: 0.7375, decode.d6.loss_mask: 0.7669, decode.d6.loss_dice: 1.0724, decode.d7.loss_cls: 0.7248, decode.d7.loss_mask: 0.7730, decode.d7.loss_dice: 1.0685, decode.d8.loss_cls: 0.7335, decode.d8.loss_mask: 0.7702, decode.d8.loss_dice: 1.0679, loss: 27.9123, grad_norm: 82.0214 2023-11-21 23:07:46,803 - mmseg - INFO - Iter [11350/160000] lr: 8.849e-06, eta: 1 day, 0:31:07, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7775, decode.loss_mask: 0.7339, decode.loss_dice: 1.0820, decode.d0.loss_cls: 2.2677, decode.d0.loss_mask: 0.7750, decode.d0.loss_dice: 1.2969, decode.d1.loss_cls: 0.9740, decode.d1.loss_mask: 0.7659, decode.d1.loss_dice: 1.1577, decode.d2.loss_cls: 0.8486, decode.d2.loss_mask: 0.7418, decode.d2.loss_dice: 1.1033, decode.d3.loss_cls: 0.8137, decode.d3.loss_mask: 0.7383, decode.d3.loss_dice: 1.0787, decode.d4.loss_cls: 0.7967, decode.d4.loss_mask: 0.7383, decode.d4.loss_dice: 1.0836, decode.d5.loss_cls: 0.7937, decode.d5.loss_mask: 0.7324, decode.d5.loss_dice: 1.0808, decode.d6.loss_cls: 0.7855, decode.d6.loss_mask: 0.7372, decode.d6.loss_dice: 1.0771, decode.d7.loss_cls: 0.7833, decode.d7.loss_mask: 0.7347, decode.d7.loss_dice: 1.0749, decode.d8.loss_cls: 0.7840, decode.d8.loss_mask: 0.7327, decode.d8.loss_dice: 1.0832, loss: 28.1732, grad_norm: 82.0463 2023-11-21 23:08:17,715 - mmseg - INFO - Iter [11400/160000] lr: 8.846e-06, eta: 1 day, 0:30:53, time: 0.618, data_time: 0.058, memory: 38143, decode.loss_cls: 0.7730, decode.loss_mask: 0.7494, decode.loss_dice: 1.1070, decode.d0.loss_cls: 2.2634, decode.d0.loss_mask: 0.7809, decode.d0.loss_dice: 1.3385, decode.d1.loss_cls: 0.9643, decode.d1.loss_mask: 0.7778, decode.d1.loss_dice: 1.1943, decode.d2.loss_cls: 0.8283, decode.d2.loss_mask: 0.7628, decode.d2.loss_dice: 1.1438, decode.d3.loss_cls: 0.8046, decode.d3.loss_mask: 0.7487, decode.d3.loss_dice: 1.1172, decode.d4.loss_cls: 0.7877, decode.d4.loss_mask: 0.7493, decode.d4.loss_dice: 1.1224, decode.d5.loss_cls: 0.7731, decode.d5.loss_mask: 0.7510, decode.d5.loss_dice: 1.1159, decode.d6.loss_cls: 0.7697, decode.d6.loss_mask: 0.7464, decode.d6.loss_dice: 1.1113, decode.d7.loss_cls: 0.7723, decode.d7.loss_mask: 0.7459, decode.d7.loss_dice: 1.1169, decode.d8.loss_cls: 0.7759, decode.d8.loss_mask: 0.7505, decode.d8.loss_dice: 1.1070, loss: 28.5494, grad_norm: 79.4579 2023-11-21 23:08:46,116 - mmseg - INFO - Iter [11450/160000] lr: 8.843e-06, eta: 1 day, 0:30:06, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7266, decode.loss_mask: 0.7469, decode.loss_dice: 1.0547, decode.d0.loss_cls: 2.2095, decode.d0.loss_mask: 0.7790, decode.d0.loss_dice: 1.2814, decode.d1.loss_cls: 0.9210, decode.d1.loss_mask: 0.7748, decode.d1.loss_dice: 1.1397, decode.d2.loss_cls: 0.8015, decode.d2.loss_mask: 0.7532, decode.d2.loss_dice: 1.0812, decode.d3.loss_cls: 0.7635, decode.d3.loss_mask: 0.7504, decode.d3.loss_dice: 1.0670, decode.d4.loss_cls: 0.7571, decode.d4.loss_mask: 0.7483, decode.d4.loss_dice: 1.0640, decode.d5.loss_cls: 0.7398, decode.d5.loss_mask: 0.7531, decode.d5.loss_dice: 1.0589, decode.d6.loss_cls: 0.7379, decode.d6.loss_mask: 0.7475, decode.d6.loss_dice: 1.0535, decode.d7.loss_cls: 0.7328, decode.d7.loss_mask: 0.7409, decode.d7.loss_dice: 1.0566, decode.d8.loss_cls: 0.7308, decode.d8.loss_mask: 0.7477, decode.d8.loss_dice: 1.0554, loss: 27.5749, grad_norm: 74.9011 2023-11-21 23:09:14,876 - mmseg - INFO - Iter [11500/160000] lr: 8.840e-06, eta: 1 day, 0:29:25, time: 0.575, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7723, decode.loss_mask: 0.7518, decode.loss_dice: 1.0797, decode.d0.loss_cls: 2.3045, decode.d0.loss_mask: 0.7763, decode.d0.loss_dice: 1.3140, decode.d1.loss_cls: 0.9707, decode.d1.loss_mask: 0.7759, decode.d1.loss_dice: 1.1707, decode.d2.loss_cls: 0.8422, decode.d2.loss_mask: 0.7638, decode.d2.loss_dice: 1.1220, decode.d3.loss_cls: 0.8071, decode.d3.loss_mask: 0.7539, decode.d3.loss_dice: 1.0948, decode.d4.loss_cls: 0.7925, decode.d4.loss_mask: 0.7538, decode.d4.loss_dice: 1.0931, decode.d5.loss_cls: 0.7889, decode.d5.loss_mask: 0.7452, decode.d5.loss_dice: 1.0899, decode.d6.loss_cls: 0.7766, decode.d6.loss_mask: 0.7465, decode.d6.loss_dice: 1.0787, decode.d7.loss_cls: 0.7744, decode.d7.loss_mask: 0.7479, decode.d7.loss_dice: 1.0873, decode.d8.loss_cls: 0.7669, decode.d8.loss_mask: 0.7543, decode.d8.loss_dice: 1.0859, loss: 28.3818, grad_norm: 74.8679 2023-11-21 23:09:43,269 - mmseg - INFO - Iter [11550/160000] lr: 8.837e-06, eta: 1 day, 0:28:39, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7570, decode.loss_mask: 0.7045, decode.loss_dice: 1.1016, decode.d0.loss_cls: 2.2422, decode.d0.loss_mask: 0.7391, decode.d0.loss_dice: 1.3043, decode.d1.loss_cls: 0.9620, decode.d1.loss_mask: 0.7367, decode.d1.loss_dice: 1.1844, decode.d2.loss_cls: 0.8337, decode.d2.loss_mask: 0.7123, decode.d2.loss_dice: 1.1371, decode.d3.loss_cls: 0.7910, decode.d3.loss_mask: 0.7078, decode.d3.loss_dice: 1.1173, decode.d4.loss_cls: 0.7828, decode.d4.loss_mask: 0.7119, decode.d4.loss_dice: 1.1127, decode.d5.loss_cls: 0.7674, decode.d5.loss_mask: 0.7172, decode.d5.loss_dice: 1.1134, decode.d6.loss_cls: 0.7620, decode.d6.loss_mask: 0.7087, decode.d6.loss_dice: 1.1001, decode.d7.loss_cls: 0.7540, decode.d7.loss_mask: 0.7113, decode.d7.loss_dice: 1.1090, decode.d8.loss_cls: 0.7518, decode.d8.loss_mask: 0.7106, decode.d8.loss_dice: 1.1055, loss: 27.9496, grad_norm: 71.8279 2023-11-21 23:10:11,600 - mmseg - INFO - Iter [11600/160000] lr: 8.834e-06, eta: 1 day, 0:27:52, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7554, decode.loss_mask: 0.7508, decode.loss_dice: 1.0816, decode.d0.loss_cls: 2.1945, decode.d0.loss_mask: 0.7755, decode.d0.loss_dice: 1.2918, decode.d1.loss_cls: 0.9470, decode.d1.loss_mask: 0.7805, decode.d1.loss_dice: 1.1502, decode.d2.loss_cls: 0.8223, decode.d2.loss_mask: 0.7641, decode.d2.loss_dice: 1.1050, decode.d3.loss_cls: 0.7910, decode.d3.loss_mask: 0.7521, decode.d3.loss_dice: 1.0886, decode.d4.loss_cls: 0.7836, decode.d4.loss_mask: 0.7550, decode.d4.loss_dice: 1.0995, decode.d5.loss_cls: 0.7691, decode.d5.loss_mask: 0.7539, decode.d5.loss_dice: 1.0921, decode.d6.loss_cls: 0.7698, decode.d6.loss_mask: 0.7535, decode.d6.loss_dice: 1.0720, decode.d7.loss_cls: 0.7676, decode.d7.loss_mask: 0.7524, decode.d7.loss_dice: 1.0758, decode.d8.loss_cls: 0.7648, decode.d8.loss_mask: 0.7518, decode.d8.loss_dice: 1.0793, loss: 28.0903, grad_norm: 80.4598 2023-11-21 23:10:39,970 - mmseg - INFO - Iter [11650/160000] lr: 8.831e-06, eta: 1 day, 0:27:05, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7438, decode.loss_mask: 0.7509, decode.loss_dice: 1.0606, decode.d0.loss_cls: 2.2451, decode.d0.loss_mask: 0.7749, decode.d0.loss_dice: 1.2866, decode.d1.loss_cls: 0.9356, decode.d1.loss_mask: 0.7753, decode.d1.loss_dice: 1.1551, decode.d2.loss_cls: 0.8242, decode.d2.loss_mask: 0.7578, decode.d2.loss_dice: 1.0909, decode.d3.loss_cls: 0.7779, decode.d3.loss_mask: 0.7522, decode.d3.loss_dice: 1.0703, decode.d4.loss_cls: 0.7703, decode.d4.loss_mask: 0.7547, decode.d4.loss_dice: 1.0695, decode.d5.loss_cls: 0.7585, decode.d5.loss_mask: 0.7529, decode.d5.loss_dice: 1.0725, decode.d6.loss_cls: 0.7523, decode.d6.loss_mask: 0.7496, decode.d6.loss_dice: 1.0635, decode.d7.loss_cls: 0.7513, decode.d7.loss_mask: 0.7521, decode.d7.loss_dice: 1.0618, decode.d8.loss_cls: 0.7497, decode.d8.loss_mask: 0.7525, decode.d8.loss_dice: 1.0645, loss: 27.8771, grad_norm: 75.5494 2023-11-21 23:11:08,346 - mmseg - INFO - Iter [11700/160000] lr: 8.828e-06, eta: 1 day, 0:26:19, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7600, decode.loss_mask: 0.7580, decode.loss_dice: 1.0999, decode.d0.loss_cls: 2.2171, decode.d0.loss_mask: 0.7857, decode.d0.loss_dice: 1.3054, decode.d1.loss_cls: 0.9466, decode.d1.loss_mask: 0.7720, decode.d1.loss_dice: 1.1670, decode.d2.loss_cls: 0.8380, decode.d2.loss_mask: 0.7555, decode.d2.loss_dice: 1.1113, decode.d3.loss_cls: 0.8024, decode.d3.loss_mask: 0.7491, decode.d3.loss_dice: 1.1016, decode.d4.loss_cls: 0.7919, decode.d4.loss_mask: 0.7521, decode.d4.loss_dice: 1.1054, decode.d5.loss_cls: 0.7838, decode.d5.loss_mask: 0.7486, decode.d5.loss_dice: 1.1007, decode.d6.loss_cls: 0.7766, decode.d6.loss_mask: 0.7485, decode.d6.loss_dice: 1.0906, decode.d7.loss_cls: 0.7672, decode.d7.loss_mask: 0.7470, decode.d7.loss_dice: 1.0944, decode.d8.loss_cls: 0.7689, decode.d8.loss_mask: 0.7536, decode.d8.loss_dice: 1.0933, loss: 28.2924, grad_norm: 78.3650 2023-11-21 23:11:36,853 - mmseg - INFO - Iter [11750/160000] lr: 8.825e-06, eta: 1 day, 0:25:35, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7466, decode.loss_mask: 0.7204, decode.loss_dice: 1.0417, decode.d0.loss_cls: 2.2380, decode.d0.loss_mask: 0.7580, decode.d0.loss_dice: 1.2636, decode.d1.loss_cls: 0.9501, decode.d1.loss_mask: 0.7346, decode.d1.loss_dice: 1.1338, decode.d2.loss_cls: 0.8288, decode.d2.loss_mask: 0.7178, decode.d2.loss_dice: 1.0748, decode.d3.loss_cls: 0.8040, decode.d3.loss_mask: 0.7111, decode.d3.loss_dice: 1.0464, decode.d4.loss_cls: 0.7796, decode.d4.loss_mask: 0.7152, decode.d4.loss_dice: 1.0469, decode.d5.loss_cls: 0.7664, decode.d5.loss_mask: 0.7197, decode.d5.loss_dice: 1.0446, decode.d6.loss_cls: 0.7609, decode.d6.loss_mask: 0.7181, decode.d6.loss_dice: 1.0385, decode.d7.loss_cls: 0.7596, decode.d7.loss_mask: 0.7145, decode.d7.loss_dice: 1.0387, decode.d8.loss_cls: 0.7513, decode.d8.loss_mask: 0.7166, decode.d8.loss_dice: 1.0448, loss: 27.3850, grad_norm: 77.2704 2023-11-21 23:12:05,336 - mmseg - INFO - Iter [11800/160000] lr: 8.822e-06, eta: 1 day, 0:24:51, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7772, decode.loss_mask: 0.7202, decode.loss_dice: 1.0640, decode.d0.loss_cls: 2.2694, decode.d0.loss_mask: 0.7518, decode.d0.loss_dice: 1.2938, decode.d1.loss_cls: 0.9588, decode.d1.loss_mask: 0.7456, decode.d1.loss_dice: 1.1526, decode.d2.loss_cls: 0.8370, decode.d2.loss_mask: 0.7215, decode.d2.loss_dice: 1.0994, decode.d3.loss_cls: 0.7978, decode.d3.loss_mask: 0.7216, decode.d3.loss_dice: 1.0772, decode.d4.loss_cls: 0.7852, decode.d4.loss_mask: 0.7266, decode.d4.loss_dice: 1.0804, decode.d5.loss_cls: 0.7876, decode.d5.loss_mask: 0.7232, decode.d5.loss_dice: 1.0755, decode.d6.loss_cls: 0.7763, decode.d6.loss_mask: 0.7238, decode.d6.loss_dice: 1.0656, decode.d7.loss_cls: 0.7706, decode.d7.loss_mask: 0.7232, decode.d7.loss_dice: 1.0684, decode.d8.loss_cls: 0.7769, decode.d8.loss_mask: 0.7239, decode.d8.loss_dice: 1.0659, loss: 27.8611, grad_norm: 75.0766 2023-11-21 23:12:33,622 - mmseg - INFO - Iter [11850/160000] lr: 8.819e-06, eta: 1 day, 0:24:04, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7813, decode.loss_mask: 0.7596, decode.loss_dice: 1.0950, decode.d0.loss_cls: 2.2413, decode.d0.loss_mask: 0.7975, decode.d0.loss_dice: 1.3106, decode.d1.loss_cls: 0.9733, decode.d1.loss_mask: 0.7838, decode.d1.loss_dice: 1.1816, decode.d2.loss_cls: 0.8468, decode.d2.loss_mask: 0.7749, decode.d2.loss_dice: 1.1347, decode.d3.loss_cls: 0.8164, decode.d3.loss_mask: 0.7522, decode.d3.loss_dice: 1.0979, decode.d4.loss_cls: 0.8011, decode.d4.loss_mask: 0.7571, decode.d4.loss_dice: 1.1070, decode.d5.loss_cls: 0.7944, decode.d5.loss_mask: 0.7564, decode.d5.loss_dice: 1.1087, decode.d6.loss_cls: 0.7833, decode.d6.loss_mask: 0.7559, decode.d6.loss_dice: 1.0955, decode.d7.loss_cls: 0.7763, decode.d7.loss_mask: 0.7584, decode.d7.loss_dice: 1.1008, decode.d8.loss_cls: 0.7792, decode.d8.loss_mask: 0.7651, decode.d8.loss_dice: 1.0996, loss: 28.5856, grad_norm: 78.3259 2023-11-21 23:13:01,901 - mmseg - INFO - Iter [11900/160000] lr: 8.817e-06, eta: 1 day, 0:23:17, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7455, decode.loss_mask: 0.7506, decode.loss_dice: 1.0951, decode.d0.loss_cls: 2.1964, decode.d0.loss_mask: 0.7838, decode.d0.loss_dice: 1.3059, decode.d1.loss_cls: 0.9232, decode.d1.loss_mask: 0.7788, decode.d1.loss_dice: 1.1846, decode.d2.loss_cls: 0.7932, decode.d2.loss_mask: 0.7660, decode.d2.loss_dice: 1.1332, decode.d3.loss_cls: 0.7640, decode.d3.loss_mask: 0.7527, decode.d3.loss_dice: 1.1160, decode.d4.loss_cls: 0.7556, decode.d4.loss_mask: 0.7463, decode.d4.loss_dice: 1.1147, decode.d5.loss_cls: 0.7572, decode.d5.loss_mask: 0.7498, decode.d5.loss_dice: 1.1015, decode.d6.loss_cls: 0.7471, decode.d6.loss_mask: 0.7511, decode.d6.loss_dice: 1.1051, decode.d7.loss_cls: 0.7423, decode.d7.loss_mask: 0.7522, decode.d7.loss_dice: 1.1005, decode.d8.loss_cls: 0.7445, decode.d8.loss_mask: 0.7526, decode.d8.loss_dice: 1.1008, loss: 28.1103, grad_norm: 77.2250 2023-11-21 23:13:30,178 - mmseg - INFO - Iter [11950/160000] lr: 8.814e-06, eta: 1 day, 0:22:31, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7733, decode.loss_mask: 0.7369, decode.loss_dice: 1.0760, decode.d0.loss_cls: 2.2095, decode.d0.loss_mask: 0.7816, decode.d0.loss_dice: 1.3133, decode.d1.loss_cls: 0.9341, decode.d1.loss_mask: 0.7773, decode.d1.loss_dice: 1.1875, decode.d2.loss_cls: 0.8096, decode.d2.loss_mask: 0.7559, decode.d2.loss_dice: 1.1239, decode.d3.loss_cls: 0.7830, decode.d3.loss_mask: 0.7466, decode.d3.loss_dice: 1.0990, decode.d4.loss_cls: 0.7775, decode.d4.loss_mask: 0.7470, decode.d4.loss_dice: 1.1034, decode.d5.loss_cls: 0.7745, decode.d5.loss_mask: 0.7448, decode.d5.loss_dice: 1.0988, decode.d6.loss_cls: 0.7712, decode.d6.loss_mask: 0.7394, decode.d6.loss_dice: 1.0939, decode.d7.loss_cls: 0.7669, decode.d7.loss_mask: 0.7449, decode.d7.loss_dice: 1.0884, decode.d8.loss_cls: 0.7658, decode.d8.loss_mask: 0.7522, decode.d8.loss_dice: 1.0946, loss: 28.1708, grad_norm: 82.4889 2023-11-21 23:13:58,512 - mmseg - INFO - Saving checkpoint at 12000 iterations 2023-11-21 23:14:06,842 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-21 23:14:06,842 - mmseg - INFO - Iter [12000/160000] lr: 8.811e-06, eta: 1 day, 0:23:28, time: 0.733, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7634, decode.loss_mask: 0.7602, decode.loss_dice: 1.0892, decode.d0.loss_cls: 2.2243, decode.d0.loss_mask: 0.7967, decode.d0.loss_dice: 1.3127, decode.d1.loss_cls: 0.9512, decode.d1.loss_mask: 0.7883, decode.d1.loss_dice: 1.1759, decode.d2.loss_cls: 0.8251, decode.d2.loss_mask: 0.7677, decode.d2.loss_dice: 1.1222, decode.d3.loss_cls: 0.7872, decode.d3.loss_mask: 0.7611, decode.d3.loss_dice: 1.0999, decode.d4.loss_cls: 0.7768, decode.d4.loss_mask: 0.7612, decode.d4.loss_dice: 1.1076, decode.d5.loss_cls: 0.7719, decode.d5.loss_mask: 0.7637, decode.d5.loss_dice: 1.0946, decode.d6.loss_cls: 0.7663, decode.d6.loss_mask: 0.7548, decode.d6.loss_dice: 1.0897, decode.d7.loss_cls: 0.7630, decode.d7.loss_mask: 0.7576, decode.d7.loss_dice: 1.0964, decode.d8.loss_cls: 0.7671, decode.d8.loss_mask: 0.7556, decode.d8.loss_dice: 1.0906, loss: 28.3423, grad_norm: 76.7115 2023-11-21 23:14:26,169 - mmseg - INFO - per class results: 2023-11-21 23:14:26,174 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.32 | 87.03 | | building | 80.74 | 88.2 | | sky | 94.74 | 97.3 | | floor | 82.03 | 90.38 | | tree | 76.51 | 87.03 | | ceiling | 85.29 | 93.43 | | road | 79.99 | 91.07 | | bed | 91.31 | 97.02 | | windowpane | 62.52 | 83.58 | | grass | 60.82 | 81.45 | | cabinet | 62.61 | 81.56 | | sidewalk | 63.8 | 79.58 | | person | 85.09 | 91.73 | | earth | 30.07 | 38.85 | | door | 50.18 | 65.73 | | table | 62.88 | 77.23 | | mountain | 59.51 | 76.42 | | plant | 54.23 | 67.33 | | curtain | 73.84 | 84.96 | | chair | 60.53 | 75.67 | | car | 84.1 | 93.71 | | water | 17.36 | 19.44 | | painting | 64.07 | 91.32 | | sofa | 64.59 | 91.01 | | shelf | 42.73 | 64.81 | | house | 40.92 | 90.21 | | sea | 48.6 | 92.66 | | mirror | 70.98 | 84.07 | | rug | 62.15 | 80.89 | | field | 23.78 | 58.42 | | armchair | 33.62 | 46.42 | | seat | 61.32 | 74.4 | | fence | 45.47 | 61.65 | | desk | 39.69 | 50.58 | | rock | 30.07 | 35.72 | | wardrobe | 49.05 | 62.74 | | lamp | 65.99 | 79.61 | | bathtub | 76.65 | 88.5 | | railing | 34.97 | 68.95 | | cushion | 64.56 | 76.05 | | base | 10.45 | 12.99 | | box | 25.43 | 47.96 | | column | 55.36 | 71.49 | | signboard | 39.13 | 54.08 | | chest of drawers | 34.5 | 39.28 | | counter | 28.41 | 40.69 | | sand | 28.05 | 43.99 | | sink | 75.7 | 82.1 | | skyscraper | 35.7 | 45.47 | | fireplace | 71.68 | 86.09 | | refrigerator | 73.15 | 83.03 | | grandstand | 52.79 | 69.4 | | path | 18.9 | 31.86 | | stairs | 37.13 | 50.13 | | runway | 11.73 | 11.89 | | case | 42.75 | 51.37 | | pool table | 91.51 | 95.22 | | pillow | 63.11 | 71.64 | | screen door | 68.54 | 75.93 | | stairway | 26.35 | 42.0 | | river | 11.8 | 52.04 | | bridge | 75.47 | 83.37 | | bookcase | 26.63 | 63.35 | | blind | 33.46 | 36.95 | | coffee table | 58.68 | 87.31 | | toilet | 88.57 | 90.82 | | flower | 44.45 | 61.13 | | book | 44.97 | 60.8 | | hill | 7.52 | 10.07 | | bench | 56.92 | 77.05 | | countertop | 44.04 | 69.34 | | stove | 74.21 | 86.77 | | palm | 54.99 | 81.58 | | kitchen island | 28.63 | 77.92 | | computer | 74.26 | 84.74 | | swivel chair | 43.1 | 57.32 | | boat | 67.33 | 93.94 | | bar | 12.44 | 14.01 | | arcade machine | 36.47 | 37.68 | | hovel | 0.0 | 0.0 | | bus | 86.87 | 90.18 | | towel | 68.95 | 89.49 | | light | 59.45 | 72.93 | | truck | 32.03 | 55.81 | | tower | 15.47 | 23.79 | | chandelier | 64.34 | 85.32 | | awning | 38.5 | 60.61 | | streetlight | 38.64 | 57.93 | | booth | 0.0 | 0.0 | | television receiver | 71.42 | 84.52 | | airplane | 65.49 | 70.91 | | dirt track | 0.0 | 0.0 | | apparel | 36.95 | 77.77 | | pole | 26.28 | 43.29 | | land | 0.71 | 0.72 | | bannister | 9.41 | 12.03 | | escalator | 0.0 | 0.0 | | ottoman | 57.38 | 67.66 | | bottle | 29.39 | 44.6 | | buffet | 0.0 | 0.0 | | poster | 6.39 | 8.74 | | stage | 8.87 | 10.41 | | van | 39.85 | 63.23 | | ship | 0.0 | 0.0 | | fountain | 1.94 | 2.08 | | conveyer belt | 0.0 | 0.0 | | canopy | 0.0 | 0.0 | | washer | 59.58 | 60.75 | | plaything | 22.0 | 26.02 | | swimming pool | 28.52 | 47.89 | | stool | 47.63 | 72.99 | | barrel | 0.0 | 0.0 | | basket | 29.86 | 51.64 | | waterfall | 58.31 | 87.43 | | tent | 94.05 | 94.42 | | bag | 20.21 | 27.59 | | minibike | 70.78 | 86.56 | | cradle | 58.24 | 61.59 | | oven | 2.74 | 7.49 | | ball | 46.09 | 67.72 | | food | 61.42 | 76.18 | | step | 19.3 | 22.16 | | tank | 0.0 | 0.0 | | trade name | 32.68 | 55.3 | | microwave | 38.66 | 43.24 | | pot | 40.69 | 49.52 | | animal | 36.63 | 37.67 | | bicycle | 59.43 | 87.03 | | lake | 0.0 | 0.0 | | dishwasher | 52.01 | 89.38 | | screen | 53.05 | 86.46 | | blanket | 24.79 | 29.05 | | sculpture | 52.55 | 83.07 | | hood | 57.21 | 75.71 | | sconce | 48.12 | 69.46 | | vase | 47.54 | 73.82 | | traffic light | 34.33 | 74.33 | | tray | 16.67 | 30.1 | | ashcan | 42.99 | 55.82 | | fan | 58.46 | 83.36 | | pier | 0.0 | 0.0 | | crt screen | 2.0 | 2.43 | | plate | 57.95 | 76.08 | | monitor | 0.0 | 0.0 | | bulletin board | 18.15 | 19.61 | | shower | 0.0 | 0.0 | | radiator | 54.95 | 62.87 | | glass | 23.25 | 32.84 | | clock | 34.12 | 38.76 | | flag | 69.51 | 82.02 | +---------------------+-------+-------+ 2023-11-21 23:14:26,175 - mmseg - INFO - Summary: 2023-11-21 23:14:26,175 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 81.91 | 43.49 | 56.87 | +-------+-------+-------+ 2023-11-21 23:14:26,462 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_l_640_160k_ade20k_ss/best_mIoU_iter_10000.pth was removed 2023-11-21 23:14:33,803 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_12000.pth. 2023-11-21 23:14:33,803 - mmseg - INFO - Best mIoU is 0.4349 at 12000 iter. 2023-11-21 23:14:33,803 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-21 23:14:33,804 - mmseg - INFO - Iter(val) [250] aAcc: 0.8191, mIoU: 0.4349, mAcc: 0.5687, IoU.wall: 0.7932, IoU.building: 0.8074, IoU.sky: 0.9474, IoU.floor: 0.8203, IoU.tree: 0.7651, IoU.ceiling: 0.8529, IoU.road: 0.7999, IoU.bed : 0.9131, IoU.windowpane: 0.6252, IoU.grass: 0.6082, IoU.cabinet: 0.6261, IoU.sidewalk: 0.6380, IoU.person: 0.8509, IoU.earth: 0.3007, IoU.door: 0.5018, IoU.table: 0.6288, IoU.mountain: 0.5951, IoU.plant: 0.5423, IoU.curtain: 0.7384, IoU.chair: 0.6053, IoU.car: 0.8410, IoU.water: 0.1736, IoU.painting: 0.6407, IoU.sofa: 0.6459, IoU.shelf: 0.4273, IoU.house: 0.4092, IoU.sea: 0.4860, IoU.mirror: 0.7098, IoU.rug: 0.6215, IoU.field: 0.2378, IoU.armchair: 0.3362, IoU.seat: 0.6132, IoU.fence: 0.4547, IoU.desk: 0.3969, IoU.rock: 0.3007, IoU.wardrobe: 0.4905, IoU.lamp: 0.6599, IoU.bathtub: 0.7665, IoU.railing: 0.3497, IoU.cushion: 0.6456, IoU.base: 0.1045, IoU.box: 0.2543, IoU.column: 0.5536, IoU.signboard: 0.3913, IoU.chest of drawers: 0.3450, IoU.counter: 0.2841, IoU.sand: 0.2805, IoU.sink: 0.7570, IoU.skyscraper: 0.3570, IoU.fireplace: 0.7168, IoU.refrigerator: 0.7315, IoU.grandstand: 0.5279, IoU.path: 0.1890, IoU.stairs: 0.3713, IoU.runway: 0.1173, IoU.case: 0.4275, IoU.pool table: 0.9151, IoU.pillow: 0.6311, IoU.screen door: 0.6854, IoU.stairway: 0.2635, IoU.river: 0.1180, IoU.bridge: 0.7547, IoU.bookcase: 0.2663, IoU.blind: 0.3346, IoU.coffee table: 0.5868, IoU.toilet: 0.8857, IoU.flower: 0.4445, IoU.book: 0.4497, IoU.hill: 0.0752, IoU.bench: 0.5692, IoU.countertop: 0.4404, IoU.stove: 0.7421, IoU.palm: 0.5499, IoU.kitchen island: 0.2863, IoU.computer: 0.7426, IoU.swivel chair: 0.4310, IoU.boat: 0.6733, IoU.bar: 0.1244, IoU.arcade machine: 0.3647, IoU.hovel: 0.0000, IoU.bus: 0.8687, IoU.towel: 0.6895, IoU.light: 0.5945, IoU.truck: 0.3203, IoU.tower: 0.1547, IoU.chandelier: 0.6434, IoU.awning: 0.3850, IoU.streetlight: 0.3864, IoU.booth: 0.0000, IoU.television receiver: 0.7142, IoU.airplane: 0.6549, IoU.dirt track: 0.0000, IoU.apparel: 0.3695, IoU.pole: 0.2628, IoU.land: 0.0071, IoU.bannister: 0.0941, IoU.escalator: 0.0000, IoU.ottoman: 0.5738, IoU.bottle: 0.2939, IoU.buffet: 0.0000, IoU.poster: 0.0639, IoU.stage: 0.0887, IoU.van: 0.3985, IoU.ship: 0.0000, IoU.fountain: 0.0194, IoU.conveyer belt: 0.0000, IoU.canopy: 0.0000, IoU.washer: 0.5958, IoU.plaything: 0.2200, IoU.swimming pool: 0.2852, IoU.stool: 0.4763, IoU.barrel: 0.0000, IoU.basket: 0.2986, IoU.waterfall: 0.5831, IoU.tent: 0.9405, IoU.bag: 0.2021, IoU.minibike: 0.7078, IoU.cradle: 0.5824, IoU.oven: 0.0274, IoU.ball: 0.4609, IoU.food: 0.6142, IoU.step: 0.1930, IoU.tank: 0.0000, IoU.trade name: 0.3268, IoU.microwave: 0.3866, IoU.pot: 0.4069, IoU.animal: 0.3663, IoU.bicycle: 0.5943, IoU.lake: 0.0000, IoU.dishwasher: 0.5201, IoU.screen: 0.5305, IoU.blanket: 0.2479, IoU.sculpture: 0.5255, IoU.hood: 0.5721, IoU.sconce: 0.4812, IoU.vase: 0.4754, IoU.traffic light: 0.3433, IoU.tray: 0.1667, IoU.ashcan: 0.4299, IoU.fan: 0.5846, IoU.pier: 0.0000, IoU.crt screen: 0.0200, IoU.plate: 0.5795, IoU.monitor: 0.0000, IoU.bulletin board: 0.1815, IoU.shower: 0.0000, IoU.radiator: 0.5495, IoU.glass: 0.2325, IoU.clock: 0.3412, IoU.flag: 0.6951, Acc.wall: 0.8703, Acc.building: 0.8820, Acc.sky: 0.9730, Acc.floor: 0.9038, Acc.tree: 0.8703, Acc.ceiling: 0.9343, Acc.road: 0.9107, Acc.bed : 0.9702, Acc.windowpane: 0.8358, Acc.grass: 0.8145, Acc.cabinet: 0.8156, Acc.sidewalk: 0.7958, Acc.person: 0.9173, Acc.earth: 0.3885, Acc.door: 0.6573, Acc.table: 0.7723, Acc.mountain: 0.7642, Acc.plant: 0.6733, Acc.curtain: 0.8496, Acc.chair: 0.7567, Acc.car: 0.9371, Acc.water: 0.1944, Acc.painting: 0.9132, Acc.sofa: 0.9101, Acc.shelf: 0.6481, Acc.house: 0.9021, Acc.sea: 0.9266, Acc.mirror: 0.8407, Acc.rug: 0.8089, Acc.field: 0.5842, Acc.armchair: 0.4642, Acc.seat: 0.7440, Acc.fence: 0.6165, Acc.desk: 0.5058, Acc.rock: 0.3572, Acc.wardrobe: 0.6274, Acc.lamp: 0.7961, Acc.bathtub: 0.8850, Acc.railing: 0.6895, Acc.cushion: 0.7605, Acc.base: 0.1299, Acc.box: 0.4796, Acc.column: 0.7149, Acc.signboard: 0.5408, Acc.chest of drawers: 0.3928, Acc.counter: 0.4069, Acc.sand: 0.4399, Acc.sink: 0.8210, Acc.skyscraper: 0.4547, Acc.fireplace: 0.8609, Acc.refrigerator: 0.8303, Acc.grandstand: 0.6940, Acc.path: 0.3186, Acc.stairs: 0.5013, Acc.runway: 0.1189, Acc.case: 0.5137, Acc.pool table: 0.9522, Acc.pillow: 0.7164, Acc.screen door: 0.7593, Acc.stairway: 0.4200, Acc.river: 0.5204, Acc.bridge: 0.8337, Acc.bookcase: 0.6335, Acc.blind: 0.3695, Acc.coffee table: 0.8731, Acc.toilet: 0.9082, Acc.flower: 0.6113, Acc.book: 0.6080, Acc.hill: 0.1007, Acc.bench: 0.7705, Acc.countertop: 0.6934, Acc.stove: 0.8677, Acc.palm: 0.8158, Acc.kitchen island: 0.7792, Acc.computer: 0.8474, Acc.swivel chair: 0.5732, Acc.boat: 0.9394, Acc.bar: 0.1401, Acc.arcade machine: 0.3768, Acc.hovel: 0.0000, Acc.bus: 0.9018, Acc.towel: 0.8949, Acc.light: 0.7293, Acc.truck: 0.5581, Acc.tower: 0.2379, Acc.chandelier: 0.8532, Acc.awning: 0.6061, Acc.streetlight: 0.5793, Acc.booth: 0.0000, Acc.television receiver: 0.8452, Acc.airplane: 0.7091, Acc.dirt track: 0.0000, Acc.apparel: 0.7777, Acc.pole: 0.4329, Acc.land: 0.0072, Acc.bannister: 0.1203, Acc.escalator: 0.0000, Acc.ottoman: 0.6766, Acc.bottle: 0.4460, Acc.buffet: 0.0000, Acc.poster: 0.0874, Acc.stage: 0.1041, Acc.van: 0.6323, Acc.ship: 0.0000, Acc.fountain: 0.0208, Acc.conveyer belt: 0.0000, Acc.canopy: 0.0000, Acc.washer: 0.6075, Acc.plaything: 0.2602, Acc.swimming pool: 0.4789, Acc.stool: 0.7299, Acc.barrel: 0.0000, Acc.basket: 0.5164, Acc.waterfall: 0.8743, Acc.tent: 0.9442, Acc.bag: 0.2759, Acc.minibike: 0.8656, Acc.cradle: 0.6159, Acc.oven: 0.0749, Acc.ball: 0.6772, Acc.food: 0.7618, Acc.step: 0.2216, Acc.tank: 0.0000, Acc.trade name: 0.5530, Acc.microwave: 0.4324, Acc.pot: 0.4952, Acc.animal: 0.3767, Acc.bicycle: 0.8703, Acc.lake: 0.0000, Acc.dishwasher: 0.8938, Acc.screen: 0.8646, Acc.blanket: 0.2905, Acc.sculpture: 0.8307, Acc.hood: 0.7571, Acc.sconce: 0.6946, Acc.vase: 0.7382, Acc.traffic light: 0.7433, Acc.tray: 0.3010, Acc.ashcan: 0.5582, Acc.fan: 0.8336, Acc.pier: 0.0000, Acc.crt screen: 0.0243, Acc.plate: 0.7608, Acc.monitor: 0.0000, Acc.bulletin board: 0.1961, Acc.shower: 0.0000, Acc.radiator: 0.6287, Acc.glass: 0.3284, Acc.clock: 0.3876, Acc.flag: 0.8202 2023-11-21 23:15:02,328 - mmseg - INFO - Iter [12050/160000] lr: 8.808e-06, eta: 1 day, 0:28:15, time: 1.110, data_time: 0.553, memory: 38143, decode.loss_cls: 0.7551, decode.loss_mask: 0.7463, decode.loss_dice: 1.0664, decode.d0.loss_cls: 2.1579, decode.d0.loss_mask: 0.7866, decode.d0.loss_dice: 1.2721, decode.d1.loss_cls: 0.9264, decode.d1.loss_mask: 0.7764, decode.d1.loss_dice: 1.1537, decode.d2.loss_cls: 0.8200, decode.d2.loss_mask: 0.7601, decode.d2.loss_dice: 1.0964, decode.d3.loss_cls: 0.7888, decode.d3.loss_mask: 0.7470, decode.d3.loss_dice: 1.0664, decode.d4.loss_cls: 0.7795, decode.d4.loss_mask: 0.7546, decode.d4.loss_dice: 1.0783, decode.d5.loss_cls: 0.7696, decode.d5.loss_mask: 0.7487, decode.d5.loss_dice: 1.0707, decode.d6.loss_cls: 0.7662, decode.d6.loss_mask: 0.7482, decode.d6.loss_dice: 1.0715, decode.d7.loss_cls: 0.7643, decode.d7.loss_mask: 0.7491, decode.d7.loss_dice: 1.0659, decode.d8.loss_cls: 0.7646, decode.d8.loss_mask: 0.7479, decode.d8.loss_dice: 1.0649, loss: 27.8633, grad_norm: 75.7496 2023-11-21 23:15:30,824 - mmseg - INFO - Iter [12100/160000] lr: 8.805e-06, eta: 1 day, 0:27:30, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7643, decode.loss_mask: 0.7300, decode.loss_dice: 1.0839, decode.d0.loss_cls: 2.2730, decode.d0.loss_mask: 0.7545, decode.d0.loss_dice: 1.3138, decode.d1.loss_cls: 0.9514, decode.d1.loss_mask: 0.7480, decode.d1.loss_dice: 1.1741, decode.d2.loss_cls: 0.8323, decode.d2.loss_mask: 0.7379, decode.d2.loss_dice: 1.1173, decode.d3.loss_cls: 0.8006, decode.d3.loss_mask: 0.7270, decode.d3.loss_dice: 1.0903, decode.d4.loss_cls: 0.7870, decode.d4.loss_mask: 0.7297, decode.d4.loss_dice: 1.0974, decode.d5.loss_cls: 0.7765, decode.d5.loss_mask: 0.7328, decode.d5.loss_dice: 1.0948, decode.d6.loss_cls: 0.7745, decode.d6.loss_mask: 0.7312, decode.d6.loss_dice: 1.0798, decode.d7.loss_cls: 0.7730, decode.d7.loss_mask: 0.7303, decode.d7.loss_dice: 1.0843, decode.d8.loss_cls: 0.7702, decode.d8.loss_mask: 0.7348, decode.d8.loss_dice: 1.0809, loss: 28.0756, grad_norm: 72.7064 2023-11-21 23:15:59,229 - mmseg - INFO - Iter [12150/160000] lr: 8.802e-06, eta: 1 day, 0:26:43, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7647, decode.loss_mask: 0.7404, decode.loss_dice: 1.0859, decode.d0.loss_cls: 2.2178, decode.d0.loss_mask: 0.7822, decode.d0.loss_dice: 1.3144, decode.d1.loss_cls: 0.9427, decode.d1.loss_mask: 0.7745, decode.d1.loss_dice: 1.1895, decode.d2.loss_cls: 0.8279, decode.d2.loss_mask: 0.7532, decode.d2.loss_dice: 1.1268, decode.d3.loss_cls: 0.7979, decode.d3.loss_mask: 0.7518, decode.d3.loss_dice: 1.1041, decode.d4.loss_cls: 0.7900, decode.d4.loss_mask: 0.7464, decode.d4.loss_dice: 1.1019, decode.d5.loss_cls: 0.7735, decode.d5.loss_mask: 0.7432, decode.d5.loss_dice: 1.1033, decode.d6.loss_cls: 0.7764, decode.d6.loss_mask: 0.7387, decode.d6.loss_dice: 1.0864, decode.d7.loss_cls: 0.7697, decode.d7.loss_mask: 0.7356, decode.d7.loss_dice: 1.0826, decode.d8.loss_cls: 0.7741, decode.d8.loss_mask: 0.7385, decode.d8.loss_dice: 1.0883, loss: 28.2224, grad_norm: 78.4501 2023-11-21 23:16:27,603 - mmseg - INFO - Iter [12200/160000] lr: 8.799e-06, eta: 1 day, 0:25:57, time: 0.567, data_time: 0.015, memory: 38143, decode.loss_cls: 0.7914, decode.loss_mask: 0.7606, decode.loss_dice: 1.1215, decode.d0.loss_cls: 2.2321, decode.d0.loss_mask: 0.8067, decode.d0.loss_dice: 1.3467, decode.d1.loss_cls: 0.9695, decode.d1.loss_mask: 0.7915, decode.d1.loss_dice: 1.2012, decode.d2.loss_cls: 0.8498, decode.d2.loss_mask: 0.7812, decode.d2.loss_dice: 1.1495, decode.d3.loss_cls: 0.8254, decode.d3.loss_mask: 0.7664, decode.d3.loss_dice: 1.1281, decode.d4.loss_cls: 0.8145, decode.d4.loss_mask: 0.7675, decode.d4.loss_dice: 1.1298, decode.d5.loss_cls: 0.7992, decode.d5.loss_mask: 0.7618, decode.d5.loss_dice: 1.1291, decode.d6.loss_cls: 0.7842, decode.d6.loss_mask: 0.7705, decode.d6.loss_dice: 1.1269, decode.d7.loss_cls: 0.7863, decode.d7.loss_mask: 0.7680, decode.d7.loss_dice: 1.1336, decode.d8.loss_cls: 0.7863, decode.d8.loss_mask: 0.7679, decode.d8.loss_dice: 1.1267, loss: 28.9739, grad_norm: 80.9114 2023-11-21 23:16:55,990 - mmseg - INFO - Iter [12250/160000] lr: 8.796e-06, eta: 1 day, 0:25:11, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7346, decode.loss_mask: 0.7357, decode.loss_dice: 1.0547, decode.d0.loss_cls: 2.2073, decode.d0.loss_mask: 0.7615, decode.d0.loss_dice: 1.2699, decode.d1.loss_cls: 0.9222, decode.d1.loss_mask: 0.7561, decode.d1.loss_dice: 1.1384, decode.d2.loss_cls: 0.8021, decode.d2.loss_mask: 0.7378, decode.d2.loss_dice: 1.0897, decode.d3.loss_cls: 0.7746, decode.d3.loss_mask: 0.7267, decode.d3.loss_dice: 1.0644, decode.d4.loss_cls: 0.7586, decode.d4.loss_mask: 0.7294, decode.d4.loss_dice: 1.0648, decode.d5.loss_cls: 0.7509, decode.d5.loss_mask: 0.7304, decode.d5.loss_dice: 1.0579, decode.d6.loss_cls: 0.7415, decode.d6.loss_mask: 0.7296, decode.d6.loss_dice: 1.0568, decode.d7.loss_cls: 0.7381, decode.d7.loss_mask: 0.7273, decode.d7.loss_dice: 1.0574, decode.d8.loss_cls: 0.7345, decode.d8.loss_mask: 0.7337, decode.d8.loss_dice: 1.0578, loss: 27.4444, grad_norm: 74.9477 2023-11-21 23:17:24,271 - mmseg - INFO - Iter [12300/160000] lr: 8.793e-06, eta: 1 day, 0:24:23, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7699, decode.loss_mask: 0.7286, decode.loss_dice: 1.0556, decode.d0.loss_cls: 2.2306, decode.d0.loss_mask: 0.7641, decode.d0.loss_dice: 1.2899, decode.d1.loss_cls: 0.9374, decode.d1.loss_mask: 0.7608, decode.d1.loss_dice: 1.1587, decode.d2.loss_cls: 0.8169, decode.d2.loss_mask: 0.7464, decode.d2.loss_dice: 1.0974, decode.d3.loss_cls: 0.7849, decode.d3.loss_mask: 0.7457, decode.d3.loss_dice: 1.0739, decode.d4.loss_cls: 0.7688, decode.d4.loss_mask: 0.7401, decode.d4.loss_dice: 1.0703, decode.d5.loss_cls: 0.7639, decode.d5.loss_mask: 0.7310, decode.d5.loss_dice: 1.0726, decode.d6.loss_cls: 0.7614, decode.d6.loss_mask: 0.7340, decode.d6.loss_dice: 1.0670, decode.d7.loss_cls: 0.7591, decode.d7.loss_mask: 0.7345, decode.d7.loss_dice: 1.0670, decode.d8.loss_cls: 0.7662, decode.d8.loss_mask: 0.7348, decode.d8.loss_dice: 1.0654, loss: 27.7972, grad_norm: 76.0094 2023-11-21 23:17:52,790 - mmseg - INFO - Iter [12350/160000] lr: 8.790e-06, eta: 1 day, 0:23:39, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7723, decode.loss_mask: 0.7661, decode.loss_dice: 1.0969, decode.d0.loss_cls: 2.2412, decode.d0.loss_mask: 0.8016, decode.d0.loss_dice: 1.3166, decode.d1.loss_cls: 0.9667, decode.d1.loss_mask: 0.7889, decode.d1.loss_dice: 1.1876, decode.d2.loss_cls: 0.8430, decode.d2.loss_mask: 0.7712, decode.d2.loss_dice: 1.1354, decode.d3.loss_cls: 0.8041, decode.d3.loss_mask: 0.7621, decode.d3.loss_dice: 1.1120, decode.d4.loss_cls: 0.8001, decode.d4.loss_mask: 0.7601, decode.d4.loss_dice: 1.1038, decode.d5.loss_cls: 0.7900, decode.d5.loss_mask: 0.7673, decode.d5.loss_dice: 1.0988, decode.d6.loss_cls: 0.7816, decode.d6.loss_mask: 0.7639, decode.d6.loss_dice: 1.0949, decode.d7.loss_cls: 0.7745, decode.d7.loss_mask: 0.7647, decode.d7.loss_dice: 1.1065, decode.d8.loss_cls: 0.7688, decode.d8.loss_mask: 0.7681, decode.d8.loss_dice: 1.1037, loss: 28.6125, grad_norm: 78.0128 2023-11-21 23:18:21,362 - mmseg - INFO - Iter [12400/160000] lr: 8.787e-06, eta: 1 day, 0:22:55, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7518, decode.loss_mask: 0.7553, decode.loss_dice: 1.0971, decode.d0.loss_cls: 2.1556, decode.d0.loss_mask: 0.7859, decode.d0.loss_dice: 1.3025, decode.d1.loss_cls: 0.9215, decode.d1.loss_mask: 0.7837, decode.d1.loss_dice: 1.1696, decode.d2.loss_cls: 0.8213, decode.d2.loss_mask: 0.7663, decode.d2.loss_dice: 1.1225, decode.d3.loss_cls: 0.7837, decode.d3.loss_mask: 0.7593, decode.d3.loss_dice: 1.0916, decode.d4.loss_cls: 0.7738, decode.d4.loss_mask: 0.7574, decode.d4.loss_dice: 1.0971, decode.d5.loss_cls: 0.7614, decode.d5.loss_mask: 0.7529, decode.d5.loss_dice: 1.0998, decode.d6.loss_cls: 0.7542, decode.d6.loss_mask: 0.7577, decode.d6.loss_dice: 1.0914, decode.d7.loss_cls: 0.7515, decode.d7.loss_mask: 0.7556, decode.d7.loss_dice: 1.1016, decode.d8.loss_cls: 0.7538, decode.d8.loss_mask: 0.7589, decode.d8.loss_dice: 1.0937, loss: 28.1285, grad_norm: 78.3308 2023-11-21 23:18:49,728 - mmseg - INFO - Iter [12450/160000] lr: 8.784e-06, eta: 1 day, 0:22:09, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7501, decode.loss_mask: 0.7617, decode.loss_dice: 1.0810, decode.d0.loss_cls: 2.2172, decode.d0.loss_mask: 0.7991, decode.d0.loss_dice: 1.3069, decode.d1.loss_cls: 0.9289, decode.d1.loss_mask: 0.7989, decode.d1.loss_dice: 1.1596, decode.d2.loss_cls: 0.8099, decode.d2.loss_mask: 0.7774, decode.d2.loss_dice: 1.1042, decode.d3.loss_cls: 0.7786, decode.d3.loss_mask: 0.7604, decode.d3.loss_dice: 1.0952, decode.d4.loss_cls: 0.7626, decode.d4.loss_mask: 0.7588, decode.d4.loss_dice: 1.0885, decode.d5.loss_cls: 0.7531, decode.d5.loss_mask: 0.7582, decode.d5.loss_dice: 1.0922, decode.d6.loss_cls: 0.7503, decode.d6.loss_mask: 0.7572, decode.d6.loss_dice: 1.0871, decode.d7.loss_cls: 0.7464, decode.d7.loss_mask: 0.7613, decode.d7.loss_dice: 1.0824, decode.d8.loss_cls: 0.7465, decode.d8.loss_mask: 0.7666, decode.d8.loss_dice: 1.0809, loss: 28.1210, grad_norm: 78.7907 2023-11-21 23:19:18,067 - mmseg - INFO - Iter [12500/160000] lr: 8.781e-06, eta: 1 day, 0:21:23, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7647, decode.loss_mask: 0.7620, decode.loss_dice: 1.0908, decode.d0.loss_cls: 2.1917, decode.d0.loss_mask: 0.7975, decode.d0.loss_dice: 1.3074, decode.d1.loss_cls: 0.9319, decode.d1.loss_mask: 0.7898, decode.d1.loss_dice: 1.1737, decode.d2.loss_cls: 0.8109, decode.d2.loss_mask: 0.7751, decode.d2.loss_dice: 1.1216, decode.d3.loss_cls: 0.7849, decode.d3.loss_mask: 0.7668, decode.d3.loss_dice: 1.0985, decode.d4.loss_cls: 0.7746, decode.d4.loss_mask: 0.7658, decode.d4.loss_dice: 1.1047, decode.d5.loss_cls: 0.7703, decode.d5.loss_mask: 0.7715, decode.d5.loss_dice: 1.0911, decode.d6.loss_cls: 0.7598, decode.d6.loss_mask: 0.7593, decode.d6.loss_dice: 1.0902, decode.d7.loss_cls: 0.7596, decode.d7.loss_mask: 0.7630, decode.d7.loss_dice: 1.0905, decode.d8.loss_cls: 0.7668, decode.d8.loss_mask: 0.7621, decode.d8.loss_dice: 1.0935, loss: 28.2903, grad_norm: 77.9510 2023-11-21 23:19:46,359 - mmseg - INFO - Iter [12550/160000] lr: 8.778e-06, eta: 1 day, 0:20:36, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7598, decode.loss_mask: 0.7708, decode.loss_dice: 1.0822, decode.d0.loss_cls: 2.1450, decode.d0.loss_mask: 0.8153, decode.d0.loss_dice: 1.3032, decode.d1.loss_cls: 0.9274, decode.d1.loss_mask: 0.7969, decode.d1.loss_dice: 1.1666, decode.d2.loss_cls: 0.8176, decode.d2.loss_mask: 0.7739, decode.d2.loss_dice: 1.1204, decode.d3.loss_cls: 0.7835, decode.d3.loss_mask: 0.7759, decode.d3.loss_dice: 1.1009, decode.d4.loss_cls: 0.7703, decode.d4.loss_mask: 0.7781, decode.d4.loss_dice: 1.1044, decode.d5.loss_cls: 0.7688, decode.d5.loss_mask: 0.7729, decode.d5.loss_dice: 1.0962, decode.d6.loss_cls: 0.7587, decode.d6.loss_mask: 0.7710, decode.d6.loss_dice: 1.0845, decode.d7.loss_cls: 0.7600, decode.d7.loss_mask: 0.7719, decode.d7.loss_dice: 1.0870, decode.d8.loss_cls: 0.7576, decode.d8.loss_mask: 0.7749, decode.d8.loss_dice: 1.0864, loss: 28.2822, grad_norm: 80.2136 2023-11-21 23:20:14,872 - mmseg - INFO - Iter [12600/160000] lr: 8.775e-06, eta: 1 day, 0:19:53, time: 0.570, data_time: 0.015, memory: 38143, decode.loss_cls: 0.7449, decode.loss_mask: 0.7482, decode.loss_dice: 1.0712, decode.d0.loss_cls: 2.2139, decode.d0.loss_mask: 0.7736, decode.d0.loss_dice: 1.2936, decode.d1.loss_cls: 0.9233, decode.d1.loss_mask: 0.7717, decode.d1.loss_dice: 1.1456, decode.d2.loss_cls: 0.8158, decode.d2.loss_mask: 0.7510, decode.d2.loss_dice: 1.1000, decode.d3.loss_cls: 0.7764, decode.d3.loss_mask: 0.7469, decode.d3.loss_dice: 1.0765, decode.d4.loss_cls: 0.7672, decode.d4.loss_mask: 0.7440, decode.d4.loss_dice: 1.0819, decode.d5.loss_cls: 0.7542, decode.d5.loss_mask: 0.7482, decode.d5.loss_dice: 1.0781, decode.d6.loss_cls: 0.7517, decode.d6.loss_mask: 0.7497, decode.d6.loss_dice: 1.0628, decode.d7.loss_cls: 0.7444, decode.d7.loss_mask: 0.7455, decode.d7.loss_dice: 1.0745, decode.d8.loss_cls: 0.7442, decode.d8.loss_mask: 0.7507, decode.d8.loss_dice: 1.0836, loss: 27.8331, grad_norm: 77.6510 2023-11-21 23:20:45,634 - mmseg - INFO - Iter [12650/160000] lr: 8.772e-06, eta: 1 day, 0:19:35, time: 0.615, data_time: 0.058, memory: 38143, decode.loss_cls: 0.7686, decode.loss_mask: 0.7582, decode.loss_dice: 1.0901, decode.d0.loss_cls: 2.2036, decode.d0.loss_mask: 0.7937, decode.d0.loss_dice: 1.3187, decode.d1.loss_cls: 0.9474, decode.d1.loss_mask: 0.7874, decode.d1.loss_dice: 1.1857, decode.d2.loss_cls: 0.8363, decode.d2.loss_mask: 0.7782, decode.d2.loss_dice: 1.1271, decode.d3.loss_cls: 0.7990, decode.d3.loss_mask: 0.7652, decode.d3.loss_dice: 1.1044, decode.d4.loss_cls: 0.7911, decode.d4.loss_mask: 0.7610, decode.d4.loss_dice: 1.1036, decode.d5.loss_cls: 0.7861, decode.d5.loss_mask: 0.7590, decode.d5.loss_dice: 1.1031, decode.d6.loss_cls: 0.7758, decode.d6.loss_mask: 0.7537, decode.d6.loss_dice: 1.0886, decode.d7.loss_cls: 0.7723, decode.d7.loss_mask: 0.7572, decode.d7.loss_dice: 1.0933, decode.d8.loss_cls: 0.7704, decode.d8.loss_mask: 0.7540, decode.d8.loss_dice: 1.0935, loss: 28.4261, grad_norm: 79.6201 2023-11-21 23:21:14,256 - mmseg - INFO - Iter [12700/160000] lr: 8.769e-06, eta: 1 day, 0:18:53, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7377, decode.loss_mask: 0.7279, decode.loss_dice: 1.0771, decode.d0.loss_cls: 2.1544, decode.d0.loss_mask: 0.7647, decode.d0.loss_dice: 1.2934, decode.d1.loss_cls: 0.9118, decode.d1.loss_mask: 0.7603, decode.d1.loss_dice: 1.1670, decode.d2.loss_cls: 0.7976, decode.d2.loss_mask: 0.7450, decode.d2.loss_dice: 1.1079, decode.d3.loss_cls: 0.7637, decode.d3.loss_mask: 0.7314, decode.d3.loss_dice: 1.0951, decode.d4.loss_cls: 0.7536, decode.d4.loss_mask: 0.7363, decode.d4.loss_dice: 1.0896, decode.d5.loss_cls: 0.7490, decode.d5.loss_mask: 0.7341, decode.d5.loss_dice: 1.0841, decode.d6.loss_cls: 0.7426, decode.d6.loss_mask: 0.7305, decode.d6.loss_dice: 1.0834, decode.d7.loss_cls: 0.7403, decode.d7.loss_mask: 0.7292, decode.d7.loss_dice: 1.0811, decode.d8.loss_cls: 0.7374, decode.d8.loss_mask: 0.7310, decode.d8.loss_dice: 1.0832, loss: 27.6405, grad_norm: 76.4750 2023-11-21 23:21:42,522 - mmseg - INFO - Iter [12750/160000] lr: 8.766e-06, eta: 1 day, 0:18:06, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7334, decode.loss_mask: 0.7183, decode.loss_dice: 1.0427, decode.d0.loss_cls: 2.1641, decode.d0.loss_mask: 0.7506, decode.d0.loss_dice: 1.2605, decode.d1.loss_cls: 0.9362, decode.d1.loss_mask: 0.7436, decode.d1.loss_dice: 1.1216, decode.d2.loss_cls: 0.8015, decode.d2.loss_mask: 0.7307, decode.d2.loss_dice: 1.0738, decode.d3.loss_cls: 0.7593, decode.d3.loss_mask: 0.7267, decode.d3.loss_dice: 1.0540, decode.d4.loss_cls: 0.7560, decode.d4.loss_mask: 0.7235, decode.d4.loss_dice: 1.0491, decode.d5.loss_cls: 0.7380, decode.d5.loss_mask: 0.7276, decode.d5.loss_dice: 1.0541, decode.d6.loss_cls: 0.7435, decode.d6.loss_mask: 0.7217, decode.d6.loss_dice: 1.0401, decode.d7.loss_cls: 0.7339, decode.d7.loss_mask: 0.7234, decode.d7.loss_dice: 1.0437, decode.d8.loss_cls: 0.7400, decode.d8.loss_mask: 0.7230, decode.d8.loss_dice: 1.0420, loss: 27.1765, grad_norm: 75.3634 2023-11-21 23:22:10,744 - mmseg - INFO - Iter [12800/160000] lr: 8.763e-06, eta: 1 day, 0:17:20, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7293, decode.loss_mask: 0.7611, decode.loss_dice: 1.0642, decode.d0.loss_cls: 2.1170, decode.d0.loss_mask: 0.7983, decode.d0.loss_dice: 1.2740, decode.d1.loss_cls: 0.9022, decode.d1.loss_mask: 0.7806, decode.d1.loss_dice: 1.1435, decode.d2.loss_cls: 0.7969, decode.d2.loss_mask: 0.7688, decode.d2.loss_dice: 1.0876, decode.d3.loss_cls: 0.7570, decode.d3.loss_mask: 0.7649, decode.d3.loss_dice: 1.0737, decode.d4.loss_cls: 0.7486, decode.d4.loss_mask: 0.7636, decode.d4.loss_dice: 1.0741, decode.d5.loss_cls: 0.7423, decode.d5.loss_mask: 0.7606, decode.d5.loss_dice: 1.0721, decode.d6.loss_cls: 0.7423, decode.d6.loss_mask: 0.7523, decode.d6.loss_dice: 1.0603, decode.d7.loss_cls: 0.7280, decode.d7.loss_mask: 0.7604, decode.d7.loss_dice: 1.0652, decode.d8.loss_cls: 0.7307, decode.d8.loss_mask: 0.7643, decode.d8.loss_dice: 1.0723, loss: 27.6561, grad_norm: 74.9252 2023-11-21 23:22:39,026 - mmseg - INFO - Iter [12850/160000] lr: 8.760e-06, eta: 1 day, 0:16:34, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6961, decode.loss_mask: 0.7251, decode.loss_dice: 1.0422, decode.d0.loss_cls: 2.1273, decode.d0.loss_mask: 0.7693, decode.d0.loss_dice: 1.2585, decode.d1.loss_cls: 0.8651, decode.d1.loss_mask: 0.7590, decode.d1.loss_dice: 1.1266, decode.d2.loss_cls: 0.7452, decode.d2.loss_mask: 0.7417, decode.d2.loss_dice: 1.0815, decode.d3.loss_cls: 0.7185, decode.d3.loss_mask: 0.7320, decode.d3.loss_dice: 1.0595, decode.d4.loss_cls: 0.7097, decode.d4.loss_mask: 0.7309, decode.d4.loss_dice: 1.0538, decode.d5.loss_cls: 0.7066, decode.d5.loss_mask: 0.7255, decode.d5.loss_dice: 1.0528, decode.d6.loss_cls: 0.6969, decode.d6.loss_mask: 0.7239, decode.d6.loss_dice: 1.0385, decode.d7.loss_cls: 0.6919, decode.d7.loss_mask: 0.7264, decode.d7.loss_dice: 1.0441, decode.d8.loss_cls: 0.6982, decode.d8.loss_mask: 0.7229, decode.d8.loss_dice: 1.0458, loss: 26.8151, grad_norm: 71.4793 2023-11-21 23:23:07,310 - mmseg - INFO - Iter [12900/160000] lr: 8.757e-06, eta: 1 day, 0:15:48, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7198, decode.loss_mask: 0.7248, decode.loss_dice: 1.0455, decode.d0.loss_cls: 2.1753, decode.d0.loss_mask: 0.7625, decode.d0.loss_dice: 1.2730, decode.d1.loss_cls: 0.9010, decode.d1.loss_mask: 0.7609, decode.d1.loss_dice: 1.1278, decode.d2.loss_cls: 0.7894, decode.d2.loss_mask: 0.7356, decode.d2.loss_dice: 1.0755, decode.d3.loss_cls: 0.7554, decode.d3.loss_mask: 0.7275, decode.d3.loss_dice: 1.0598, decode.d4.loss_cls: 0.7455, decode.d4.loss_mask: 0.7285, decode.d4.loss_dice: 1.0578, decode.d5.loss_cls: 0.7380, decode.d5.loss_mask: 0.7284, decode.d5.loss_dice: 1.0556, decode.d6.loss_cls: 0.7322, decode.d6.loss_mask: 0.7267, decode.d6.loss_dice: 1.0501, decode.d7.loss_cls: 0.7216, decode.d7.loss_mask: 0.7229, decode.d7.loss_dice: 1.0491, decode.d8.loss_cls: 0.7259, decode.d8.loss_mask: 0.7247, decode.d8.loss_dice: 1.0504, loss: 27.1913, grad_norm: 76.0477 2023-11-21 23:23:35,778 - mmseg - INFO - Iter [12950/160000] lr: 8.754e-06, eta: 1 day, 0:15:04, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7066, decode.loss_mask: 0.7230, decode.loss_dice: 1.0580, decode.d0.loss_cls: 2.1261, decode.d0.loss_mask: 0.7606, decode.d0.loss_dice: 1.2685, decode.d1.loss_cls: 0.8864, decode.d1.loss_mask: 0.7497, decode.d1.loss_dice: 1.1433, decode.d2.loss_cls: 0.7645, decode.d2.loss_mask: 0.7352, decode.d2.loss_dice: 1.0890, decode.d3.loss_cls: 0.7419, decode.d3.loss_mask: 0.7261, decode.d3.loss_dice: 1.0690, decode.d4.loss_cls: 0.7281, decode.d4.loss_mask: 0.7267, decode.d4.loss_dice: 1.0710, decode.d5.loss_cls: 0.7197, decode.d5.loss_mask: 0.7275, decode.d5.loss_dice: 1.0655, decode.d6.loss_cls: 0.7156, decode.d6.loss_mask: 0.7253, decode.d6.loss_dice: 1.0544, decode.d7.loss_cls: 0.7125, decode.d7.loss_mask: 0.7255, decode.d7.loss_dice: 1.0526, decode.d8.loss_cls: 0.7168, decode.d8.loss_mask: 0.7212, decode.d8.loss_dice: 1.0550, loss: 27.0652, grad_norm: 76.5793 2023-11-21 23:24:04,316 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-21 23:24:04,316 - mmseg - INFO - Iter [13000/160000] lr: 8.751e-06, eta: 1 day, 0:14:22, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7556, decode.loss_mask: 0.7377, decode.loss_dice: 1.0772, decode.d0.loss_cls: 2.2056, decode.d0.loss_mask: 0.7725, decode.d0.loss_dice: 1.3100, decode.d1.loss_cls: 0.9279, decode.d1.loss_mask: 0.7766, decode.d1.loss_dice: 1.1716, decode.d2.loss_cls: 0.8143, decode.d2.loss_mask: 0.7554, decode.d2.loss_dice: 1.1233, decode.d3.loss_cls: 0.7839, decode.d3.loss_mask: 0.7422, decode.d3.loss_dice: 1.0885, decode.d4.loss_cls: 0.7677, decode.d4.loss_mask: 0.7394, decode.d4.loss_dice: 1.0867, decode.d5.loss_cls: 0.7637, decode.d5.loss_mask: 0.7412, decode.d5.loss_dice: 1.0834, decode.d6.loss_cls: 0.7524, decode.d6.loss_mask: 0.7419, decode.d6.loss_dice: 1.0758, decode.d7.loss_cls: 0.7504, decode.d7.loss_mask: 0.7426, decode.d7.loss_dice: 1.0887, decode.d8.loss_cls: 0.7533, decode.d8.loss_mask: 0.7426, decode.d8.loss_dice: 1.0798, loss: 27.9519, grad_norm: 77.1012 2023-11-21 23:24:32,617 - mmseg - INFO - Iter [13050/160000] lr: 8.748e-06, eta: 1 day, 0:13:36, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7410, decode.loss_mask: 0.7384, decode.loss_dice: 1.0629, decode.d0.loss_cls: 2.1555, decode.d0.loss_mask: 0.7741, decode.d0.loss_dice: 1.2924, decode.d1.loss_cls: 0.9055, decode.d1.loss_mask: 0.7767, decode.d1.loss_dice: 1.1738, decode.d2.loss_cls: 0.7973, decode.d2.loss_mask: 0.7515, decode.d2.loss_dice: 1.1080, decode.d3.loss_cls: 0.7717, decode.d3.loss_mask: 0.7394, decode.d3.loss_dice: 1.0725, decode.d4.loss_cls: 0.7573, decode.d4.loss_mask: 0.7403, decode.d4.loss_dice: 1.0731, decode.d5.loss_cls: 0.7484, decode.d5.loss_mask: 0.7484, decode.d5.loss_dice: 1.0780, decode.d6.loss_cls: 0.7439, decode.d6.loss_mask: 0.7443, decode.d6.loss_dice: 1.0654, decode.d7.loss_cls: 0.7349, decode.d7.loss_mask: 0.7454, decode.d7.loss_dice: 1.0763, decode.d8.loss_cls: 0.7419, decode.d8.loss_mask: 0.7430, decode.d8.loss_dice: 1.0689, loss: 27.6705, grad_norm: 79.4210 2023-11-21 23:25:00,785 - mmseg - INFO - Iter [13100/160000] lr: 8.745e-06, eta: 1 day, 0:12:50, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6982, decode.loss_mask: 0.7606, decode.loss_dice: 1.0626, decode.d0.loss_cls: 2.1227, decode.d0.loss_mask: 0.7897, decode.d0.loss_dice: 1.2818, decode.d1.loss_cls: 0.8650, decode.d1.loss_mask: 0.7882, decode.d1.loss_dice: 1.1547, decode.d2.loss_cls: 0.7495, decode.d2.loss_mask: 0.7760, decode.d2.loss_dice: 1.1010, decode.d3.loss_cls: 0.7294, decode.d3.loss_mask: 0.7648, decode.d3.loss_dice: 1.0651, decode.d4.loss_cls: 0.7144, decode.d4.loss_mask: 0.7700, decode.d4.loss_dice: 1.0660, decode.d5.loss_cls: 0.7032, decode.d5.loss_mask: 0.7613, decode.d5.loss_dice: 1.0655, decode.d6.loss_cls: 0.6941, decode.d6.loss_mask: 0.7627, decode.d6.loss_dice: 1.0629, decode.d7.loss_cls: 0.6892, decode.d7.loss_mask: 0.7615, decode.d7.loss_dice: 1.0671, decode.d8.loss_cls: 0.6947, decode.d8.loss_mask: 0.7592, decode.d8.loss_dice: 1.0670, loss: 27.3482, grad_norm: 82.6496 2023-11-21 23:25:29,091 - mmseg - INFO - Iter [13150/160000] lr: 8.742e-06, eta: 1 day, 0:12:05, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7408, decode.loss_mask: 0.7244, decode.loss_dice: 1.0813, decode.d0.loss_cls: 2.1569, decode.d0.loss_mask: 0.7544, decode.d0.loss_dice: 1.2929, decode.d1.loss_cls: 0.9126, decode.d1.loss_mask: 0.7498, decode.d1.loss_dice: 1.1577, decode.d2.loss_cls: 0.7944, decode.d2.loss_mask: 0.7379, decode.d2.loss_dice: 1.1110, decode.d3.loss_cls: 0.7624, decode.d3.loss_mask: 0.7273, decode.d3.loss_dice: 1.0904, decode.d4.loss_cls: 0.7519, decode.d4.loss_mask: 0.7296, decode.d4.loss_dice: 1.0917, decode.d5.loss_cls: 0.7518, decode.d5.loss_mask: 0.7229, decode.d5.loss_dice: 1.0867, decode.d6.loss_cls: 0.7474, decode.d6.loss_mask: 0.7248, decode.d6.loss_dice: 1.0783, decode.d7.loss_cls: 0.7365, decode.d7.loss_mask: 0.7284, decode.d7.loss_dice: 1.0825, decode.d8.loss_cls: 0.7323, decode.d8.loss_mask: 0.7298, decode.d8.loss_dice: 1.0818, loss: 27.5706, grad_norm: 81.9736 2023-11-21 23:25:57,423 - mmseg - INFO - Iter [13200/160000] lr: 8.739e-06, eta: 1 day, 0:11:20, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7124, decode.loss_mask: 0.7380, decode.loss_dice: 1.0395, decode.d0.loss_cls: 2.1300, decode.d0.loss_mask: 0.7741, decode.d0.loss_dice: 1.2575, decode.d1.loss_cls: 0.8999, decode.d1.loss_mask: 0.7675, decode.d1.loss_dice: 1.1342, decode.d2.loss_cls: 0.7734, decode.d2.loss_mask: 0.7558, decode.d2.loss_dice: 1.0675, decode.d3.loss_cls: 0.7500, decode.d3.loss_mask: 0.7403, decode.d3.loss_dice: 1.0462, decode.d4.loss_cls: 0.7368, decode.d4.loss_mask: 0.7356, decode.d4.loss_dice: 1.0479, decode.d5.loss_cls: 0.7291, decode.d5.loss_mask: 0.7389, decode.d5.loss_dice: 1.0441, decode.d6.loss_cls: 0.7204, decode.d6.loss_mask: 0.7394, decode.d6.loss_dice: 1.0276, decode.d7.loss_cls: 0.7189, decode.d7.loss_mask: 0.7355, decode.d7.loss_dice: 1.0418, decode.d8.loss_cls: 0.7139, decode.d8.loss_mask: 0.7380, decode.d8.loss_dice: 1.0391, loss: 27.0935, grad_norm: 73.7096 2023-11-21 23:26:26,069 - mmseg - INFO - Iter [13250/160000] lr: 8.736e-06, eta: 1 day, 0:10:39, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7341, decode.loss_mask: 0.7446, decode.loss_dice: 1.0616, decode.d0.loss_cls: 2.1679, decode.d0.loss_mask: 0.7808, decode.d0.loss_dice: 1.2855, decode.d1.loss_cls: 0.9228, decode.d1.loss_mask: 0.7731, decode.d1.loss_dice: 1.1347, decode.d2.loss_cls: 0.7927, decode.d2.loss_mask: 0.7623, decode.d2.loss_dice: 1.0859, decode.d3.loss_cls: 0.7580, decode.d3.loss_mask: 0.7504, decode.d3.loss_dice: 1.0675, decode.d4.loss_cls: 0.7492, decode.d4.loss_mask: 0.7469, decode.d4.loss_dice: 1.0705, decode.d5.loss_cls: 0.7447, decode.d5.loss_mask: 0.7489, decode.d5.loss_dice: 1.0682, decode.d6.loss_cls: 0.7420, decode.d6.loss_mask: 0.7430, decode.d6.loss_dice: 1.0637, decode.d7.loss_cls: 0.7335, decode.d7.loss_mask: 0.7481, decode.d7.loss_dice: 1.0636, decode.d8.loss_cls: 0.7370, decode.d8.loss_mask: 0.7456, decode.d8.loss_dice: 1.0647, loss: 27.5916, grad_norm: 79.1978 2023-11-21 23:26:54,467 - mmseg - INFO - Iter [13300/160000] lr: 8.733e-06, eta: 1 day, 0:09:56, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7322, decode.loss_mask: 0.7391, decode.loss_dice: 1.0659, decode.d0.loss_cls: 2.1362, decode.d0.loss_mask: 0.7762, decode.d0.loss_dice: 1.2786, decode.d1.loss_cls: 0.9087, decode.d1.loss_mask: 0.7561, decode.d1.loss_dice: 1.1477, decode.d2.loss_cls: 0.7898, decode.d2.loss_mask: 0.7467, decode.d2.loss_dice: 1.1024, decode.d3.loss_cls: 0.7558, decode.d3.loss_mask: 0.7388, decode.d3.loss_dice: 1.0778, decode.d4.loss_cls: 0.7470, decode.d4.loss_mask: 0.7396, decode.d4.loss_dice: 1.0822, decode.d5.loss_cls: 0.7437, decode.d5.loss_mask: 0.7362, decode.d5.loss_dice: 1.0711, decode.d6.loss_cls: 0.7308, decode.d6.loss_mask: 0.7344, decode.d6.loss_dice: 1.0647, decode.d7.loss_cls: 0.7268, decode.d7.loss_mask: 0.7415, decode.d7.loss_dice: 1.0738, decode.d8.loss_cls: 0.7291, decode.d8.loss_mask: 0.7375, decode.d8.loss_dice: 1.0727, loss: 27.4832, grad_norm: 79.2875 2023-11-21 23:27:22,780 - mmseg - INFO - Iter [13350/160000] lr: 8.730e-06, eta: 1 day, 0:09:12, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7060, decode.loss_mask: 0.7475, decode.loss_dice: 1.0637, decode.d0.loss_cls: 2.1046, decode.d0.loss_mask: 0.7757, decode.d0.loss_dice: 1.2690, decode.d1.loss_cls: 0.8778, decode.d1.loss_mask: 0.7683, decode.d1.loss_dice: 1.1385, decode.d2.loss_cls: 0.7766, decode.d2.loss_mask: 0.7434, decode.d2.loss_dice: 1.0913, decode.d3.loss_cls: 0.7415, decode.d3.loss_mask: 0.7444, decode.d3.loss_dice: 1.0667, decode.d4.loss_cls: 0.7286, decode.d4.loss_mask: 0.7440, decode.d4.loss_dice: 1.0740, decode.d5.loss_cls: 0.7204, decode.d5.loss_mask: 0.7464, decode.d5.loss_dice: 1.0666, decode.d6.loss_cls: 0.7200, decode.d6.loss_mask: 0.7431, decode.d6.loss_dice: 1.0615, decode.d7.loss_cls: 0.7158, decode.d7.loss_mask: 0.7479, decode.d7.loss_dice: 1.0635, decode.d8.loss_cls: 0.7121, decode.d8.loss_mask: 0.7431, decode.d8.loss_dice: 1.0580, loss: 27.2600, grad_norm: 76.0453 2023-11-21 23:27:50,984 - mmseg - INFO - Iter [13400/160000] lr: 8.727e-06, eta: 1 day, 0:08:26, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7141, decode.loss_mask: 0.7446, decode.loss_dice: 1.0494, decode.d0.loss_cls: 2.0869, decode.d0.loss_mask: 0.7765, decode.d0.loss_dice: 1.2511, decode.d1.loss_cls: 0.8664, decode.d1.loss_mask: 0.7740, decode.d1.loss_dice: 1.1358, decode.d2.loss_cls: 0.7764, decode.d2.loss_mask: 0.7538, decode.d2.loss_dice: 1.0879, decode.d3.loss_cls: 0.7330, decode.d3.loss_mask: 0.7470, decode.d3.loss_dice: 1.0627, decode.d4.loss_cls: 0.7295, decode.d4.loss_mask: 0.7440, decode.d4.loss_dice: 1.0647, decode.d5.loss_cls: 0.7208, decode.d5.loss_mask: 0.7484, decode.d5.loss_dice: 1.0603, decode.d6.loss_cls: 0.7188, decode.d6.loss_mask: 0.7501, decode.d6.loss_dice: 1.0537, decode.d7.loss_cls: 0.7168, decode.d7.loss_mask: 0.7461, decode.d7.loss_dice: 1.0601, decode.d8.loss_cls: 0.7169, decode.d8.loss_mask: 0.7484, decode.d8.loss_dice: 1.0518, loss: 27.1898, grad_norm: 81.9684 2023-11-21 23:28:19,250 - mmseg - INFO - Iter [13450/160000] lr: 8.724e-06, eta: 1 day, 0:07:42, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7450, decode.loss_mask: 0.7380, decode.loss_dice: 1.0465, decode.d0.loss_cls: 2.1786, decode.d0.loss_mask: 0.7807, decode.d0.loss_dice: 1.2804, decode.d1.loss_cls: 0.9014, decode.d1.loss_mask: 0.7639, decode.d1.loss_dice: 1.1349, decode.d2.loss_cls: 0.8030, decode.d2.loss_mask: 0.7506, decode.d2.loss_dice: 1.0809, decode.d3.loss_cls: 0.7697, decode.d3.loss_mask: 0.7346, decode.d3.loss_dice: 1.0614, decode.d4.loss_cls: 0.7632, decode.d4.loss_mask: 0.7375, decode.d4.loss_dice: 1.0552, decode.d5.loss_cls: 0.7567, decode.d5.loss_mask: 0.7405, decode.d5.loss_dice: 1.0476, decode.d6.loss_cls: 0.7502, decode.d6.loss_mask: 0.7373, decode.d6.loss_dice: 1.0455, decode.d7.loss_cls: 0.7443, decode.d7.loss_mask: 0.7360, decode.d7.loss_dice: 1.0451, decode.d8.loss_cls: 0.7397, decode.d8.loss_mask: 0.7400, decode.d8.loss_dice: 1.0486, loss: 27.4567, grad_norm: 76.9973 2023-11-21 23:28:47,664 - mmseg - INFO - Iter [13500/160000] lr: 8.721e-06, eta: 1 day, 0:06:59, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7347, decode.loss_mask: 0.7255, decode.loss_dice: 1.0549, decode.d0.loss_cls: 2.1490, decode.d0.loss_mask: 0.7695, decode.d0.loss_dice: 1.2590, decode.d1.loss_cls: 0.9043, decode.d1.loss_mask: 0.7494, decode.d1.loss_dice: 1.1333, decode.d2.loss_cls: 0.8007, decode.d2.loss_mask: 0.7440, decode.d2.loss_dice: 1.0836, decode.d3.loss_cls: 0.7710, decode.d3.loss_mask: 0.7318, decode.d3.loss_dice: 1.0680, decode.d4.loss_cls: 0.7606, decode.d4.loss_mask: 0.7334, decode.d4.loss_dice: 1.0655, decode.d5.loss_cls: 0.7539, decode.d5.loss_mask: 0.7253, decode.d5.loss_dice: 1.0575, decode.d6.loss_cls: 0.7492, decode.d6.loss_mask: 0.7273, decode.d6.loss_dice: 1.0436, decode.d7.loss_cls: 0.7425, decode.d7.loss_mask: 0.7314, decode.d7.loss_dice: 1.0507, decode.d8.loss_cls: 0.7451, decode.d8.loss_mask: 0.7284, decode.d8.loss_dice: 1.0576, loss: 27.3509, grad_norm: 79.2310 2023-11-21 23:29:16,140 - mmseg - INFO - Iter [13550/160000] lr: 8.718e-06, eta: 1 day, 0:06:17, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7329, decode.loss_mask: 0.7624, decode.loss_dice: 1.0673, decode.d0.loss_cls: 2.1510, decode.d0.loss_mask: 0.7915, decode.d0.loss_dice: 1.2796, decode.d1.loss_cls: 0.9103, decode.d1.loss_mask: 0.7860, decode.d1.loss_dice: 1.1403, decode.d2.loss_cls: 0.8031, decode.d2.loss_mask: 0.7731, decode.d2.loss_dice: 1.0970, decode.d3.loss_cls: 0.7622, decode.d3.loss_mask: 0.7660, decode.d3.loss_dice: 1.0747, decode.d4.loss_cls: 0.7484, decode.d4.loss_mask: 0.7670, decode.d4.loss_dice: 1.0707, decode.d5.loss_cls: 0.7406, decode.d5.loss_mask: 0.7596, decode.d5.loss_dice: 1.0691, decode.d6.loss_cls: 0.7351, decode.d6.loss_mask: 0.7652, decode.d6.loss_dice: 1.0654, decode.d7.loss_cls: 0.7366, decode.d7.loss_mask: 0.7586, decode.d7.loss_dice: 1.0597, decode.d8.loss_cls: 0.7367, decode.d8.loss_mask: 0.7589, decode.d8.loss_dice: 1.0595, loss: 27.7285, grad_norm: 76.9578 2023-11-21 23:29:44,393 - mmseg - INFO - Iter [13600/160000] lr: 8.715e-06, eta: 1 day, 0:05:32, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7292, decode.loss_mask: 0.7450, decode.loss_dice: 1.0530, decode.d0.loss_cls: 2.1418, decode.d0.loss_mask: 0.7711, decode.d0.loss_dice: 1.2523, decode.d1.loss_cls: 0.8988, decode.d1.loss_mask: 0.7735, decode.d1.loss_dice: 1.1394, decode.d2.loss_cls: 0.7955, decode.d2.loss_mask: 0.7477, decode.d2.loss_dice: 1.0867, decode.d3.loss_cls: 0.7575, decode.d3.loss_mask: 0.7440, decode.d3.loss_dice: 1.0564, decode.d4.loss_cls: 0.7515, decode.d4.loss_mask: 0.7478, decode.d4.loss_dice: 1.0558, decode.d5.loss_cls: 0.7475, decode.d5.loss_mask: 0.7418, decode.d5.loss_dice: 1.0521, decode.d6.loss_cls: 0.7405, decode.d6.loss_mask: 0.7375, decode.d6.loss_dice: 1.0516, decode.d7.loss_cls: 0.7363, decode.d7.loss_mask: 0.7362, decode.d7.loss_dice: 1.0494, decode.d8.loss_cls: 0.7351, decode.d8.loss_mask: 0.7406, decode.d8.loss_dice: 1.0466, loss: 27.3619, grad_norm: 73.2190 2023-11-21 23:30:12,871 - mmseg - INFO - Iter [13650/160000] lr: 8.712e-06, eta: 1 day, 0:04:50, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7526, decode.loss_mask: 0.7461, decode.loss_dice: 1.0826, decode.d0.loss_cls: 2.1510, decode.d0.loss_mask: 0.7782, decode.d0.loss_dice: 1.3083, decode.d1.loss_cls: 0.9326, decode.d1.loss_mask: 0.7745, decode.d1.loss_dice: 1.1631, decode.d2.loss_cls: 0.8186, decode.d2.loss_mask: 0.7540, decode.d2.loss_dice: 1.1131, decode.d3.loss_cls: 0.7817, decode.d3.loss_mask: 0.7469, decode.d3.loss_dice: 1.0961, decode.d4.loss_cls: 0.7693, decode.d4.loss_mask: 0.7437, decode.d4.loss_dice: 1.0875, decode.d5.loss_cls: 0.7595, decode.d5.loss_mask: 0.7443, decode.d5.loss_dice: 1.0866, decode.d6.loss_cls: 0.7482, decode.d6.loss_mask: 0.7461, decode.d6.loss_dice: 1.0770, decode.d7.loss_cls: 0.7483, decode.d7.loss_mask: 0.7448, decode.d7.loss_dice: 1.0814, decode.d8.loss_cls: 0.7479, decode.d8.loss_mask: 0.7411, decode.d8.loss_dice: 1.0847, loss: 27.9097, grad_norm: 85.5694 2023-11-21 23:30:41,135 - mmseg - INFO - Iter [13700/160000] lr: 8.709e-06, eta: 1 day, 0:04:06, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7410, decode.loss_mask: 0.7405, decode.loss_dice: 1.0746, decode.d0.loss_cls: 2.1397, decode.d0.loss_mask: 0.7832, decode.d0.loss_dice: 1.2995, decode.d1.loss_cls: 0.9088, decode.d1.loss_mask: 0.7723, decode.d1.loss_dice: 1.1611, decode.d2.loss_cls: 0.7990, decode.d2.loss_mask: 0.7497, decode.d2.loss_dice: 1.1038, decode.d3.loss_cls: 0.7648, decode.d3.loss_mask: 0.7484, decode.d3.loss_dice: 1.0804, decode.d4.loss_cls: 0.7551, decode.d4.loss_mask: 0.7537, decode.d4.loss_dice: 1.0838, decode.d5.loss_cls: 0.7498, decode.d5.loss_mask: 0.7550, decode.d5.loss_dice: 1.0797, decode.d6.loss_cls: 0.7405, decode.d6.loss_mask: 0.7518, decode.d6.loss_dice: 1.0646, decode.d7.loss_cls: 0.7275, decode.d7.loss_mask: 0.7505, decode.d7.loss_dice: 1.0723, decode.d8.loss_cls: 0.7347, decode.d8.loss_mask: 0.7508, decode.d8.loss_dice: 1.0726, loss: 27.7091, grad_norm: 80.8485 2023-11-21 23:31:09,541 - mmseg - INFO - Iter [13750/160000] lr: 8.706e-06, eta: 1 day, 0:03:24, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7383, decode.loss_mask: 0.7349, decode.loss_dice: 1.0733, decode.d0.loss_cls: 2.1753, decode.d0.loss_mask: 0.7650, decode.d0.loss_dice: 1.2854, decode.d1.loss_cls: 0.9118, decode.d1.loss_mask: 0.7621, decode.d1.loss_dice: 1.1547, decode.d2.loss_cls: 0.7941, decode.d2.loss_mask: 0.7534, decode.d2.loss_dice: 1.0946, decode.d3.loss_cls: 0.7639, decode.d3.loss_mask: 0.7365, decode.d3.loss_dice: 1.0804, decode.d4.loss_cls: 0.7552, decode.d4.loss_mask: 0.7379, decode.d4.loss_dice: 1.0757, decode.d5.loss_cls: 0.7450, decode.d5.loss_mask: 0.7403, decode.d5.loss_dice: 1.0777, decode.d6.loss_cls: 0.7409, decode.d6.loss_mask: 0.7351, decode.d6.loss_dice: 1.0661, decode.d7.loss_cls: 0.7392, decode.d7.loss_mask: 0.7292, decode.d7.loss_dice: 1.0645, decode.d8.loss_cls: 0.7398, decode.d8.loss_mask: 0.7311, decode.d8.loss_dice: 1.0703, loss: 27.5718, grad_norm: 77.7011 2023-11-21 23:31:38,143 - mmseg - INFO - Iter [13800/160000] lr: 8.703e-06, eta: 1 day, 0:02:43, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7219, decode.loss_mask: 0.7186, decode.loss_dice: 1.0452, decode.d0.loss_cls: 2.1409, decode.d0.loss_mask: 0.7525, decode.d0.loss_dice: 1.2522, decode.d1.loss_cls: 0.8883, decode.d1.loss_mask: 0.7492, decode.d1.loss_dice: 1.1315, decode.d2.loss_cls: 0.7829, decode.d2.loss_mask: 0.7221, decode.d2.loss_dice: 1.0738, decode.d3.loss_cls: 0.7488, decode.d3.loss_mask: 0.7163, decode.d3.loss_dice: 1.0470, decode.d4.loss_cls: 0.7415, decode.d4.loss_mask: 0.7132, decode.d4.loss_dice: 1.0501, decode.d5.loss_cls: 0.7350, decode.d5.loss_mask: 0.7171, decode.d5.loss_dice: 1.0398, decode.d6.loss_cls: 0.7199, decode.d6.loss_mask: 0.7185, decode.d6.loss_dice: 1.0421, decode.d7.loss_cls: 0.7141, decode.d7.loss_mask: 0.7174, decode.d7.loss_dice: 1.0454, decode.d8.loss_cls: 0.7237, decode.d8.loss_mask: 0.7168, decode.d8.loss_dice: 1.0455, loss: 26.9314, grad_norm: 77.2340 2023-11-21 23:32:06,583 - mmseg - INFO - Iter [13850/160000] lr: 8.700e-06, eta: 1 day, 0:02:02, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7053, decode.loss_mask: 0.7317, decode.loss_dice: 1.0561, decode.d0.loss_cls: 2.0716, decode.d0.loss_mask: 0.7596, decode.d0.loss_dice: 1.2530, decode.d1.loss_cls: 0.8640, decode.d1.loss_mask: 0.7644, decode.d1.loss_dice: 1.1397, decode.d2.loss_cls: 0.7620, decode.d2.loss_mask: 0.7367, decode.d2.loss_dice: 1.1009, decode.d3.loss_cls: 0.7229, decode.d3.loss_mask: 0.7333, decode.d3.loss_dice: 1.0716, decode.d4.loss_cls: 0.7171, decode.d4.loss_mask: 0.7335, decode.d4.loss_dice: 1.0693, decode.d5.loss_cls: 0.7137, decode.d5.loss_mask: 0.7367, decode.d5.loss_dice: 1.0652, decode.d6.loss_cls: 0.7114, decode.d6.loss_mask: 0.7273, decode.d6.loss_dice: 1.0545, decode.d7.loss_cls: 0.7090, decode.d7.loss_mask: 0.7279, decode.d7.loss_dice: 1.0547, decode.d8.loss_cls: 0.7056, decode.d8.loss_mask: 0.7340, decode.d8.loss_dice: 1.0572, loss: 26.9897, grad_norm: 77.8875 2023-11-21 23:32:37,175 - mmseg - INFO - Iter [13900/160000] lr: 8.697e-06, eta: 1 day, 0:01:42, time: 0.612, data_time: 0.058, memory: 38143, decode.loss_cls: 0.6924, decode.loss_mask: 0.7340, decode.loss_dice: 1.0813, decode.d0.loss_cls: 2.0455, decode.d0.loss_mask: 0.7685, decode.d0.loss_dice: 1.2869, decode.d1.loss_cls: 0.8640, decode.d1.loss_mask: 0.7659, decode.d1.loss_dice: 1.1626, decode.d2.loss_cls: 0.7494, decode.d2.loss_mask: 0.7514, decode.d2.loss_dice: 1.1170, decode.d3.loss_cls: 0.7227, decode.d3.loss_mask: 0.7429, decode.d3.loss_dice: 1.0892, decode.d4.loss_cls: 0.7115, decode.d4.loss_mask: 0.7363, decode.d4.loss_dice: 1.0911, decode.d5.loss_cls: 0.7064, decode.d5.loss_mask: 0.7371, decode.d5.loss_dice: 1.0916, decode.d6.loss_cls: 0.7022, decode.d6.loss_mask: 0.7342, decode.d6.loss_dice: 1.0795, decode.d7.loss_cls: 0.7006, decode.d7.loss_mask: 0.7347, decode.d7.loss_dice: 1.0775, decode.d8.loss_cls: 0.7042, decode.d8.loss_mask: 0.7335, decode.d8.loss_dice: 1.0832, loss: 27.1972, grad_norm: 71.5899 2023-11-21 23:33:05,531 - mmseg - INFO - Iter [13950/160000] lr: 8.694e-06, eta: 1 day, 0:01:00, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7340, decode.loss_mask: 0.7297, decode.loss_dice: 1.0789, decode.d0.loss_cls: 2.1043, decode.d0.loss_mask: 0.7749, decode.d0.loss_dice: 1.2949, decode.d1.loss_cls: 0.9003, decode.d1.loss_mask: 0.7681, decode.d1.loss_dice: 1.1531, decode.d2.loss_cls: 0.8002, decode.d2.loss_mask: 0.7412, decode.d2.loss_dice: 1.1034, decode.d3.loss_cls: 0.7494, decode.d3.loss_mask: 0.7415, decode.d3.loss_dice: 1.0810, decode.d4.loss_cls: 0.7532, decode.d4.loss_mask: 0.7369, decode.d4.loss_dice: 1.0825, decode.d5.loss_cls: 0.7467, decode.d5.loss_mask: 0.7329, decode.d5.loss_dice: 1.0743, decode.d6.loss_cls: 0.7303, decode.d6.loss_mask: 0.7277, decode.d6.loss_dice: 1.0714, decode.d7.loss_cls: 0.7270, decode.d7.loss_mask: 0.7316, decode.d7.loss_dice: 1.0721, decode.d8.loss_cls: 0.7271, decode.d8.loss_mask: 0.7346, decode.d8.loss_dice: 1.0793, loss: 27.4827, grad_norm: 76.4969 2023-11-21 23:33:34,001 - mmseg - INFO - Saving checkpoint at 14000 iterations 2023-11-21 23:33:41,827 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-21 23:33:41,828 - mmseg - INFO - Iter [14000/160000] lr: 8.691e-06, eta: 1 day, 0:01:40, time: 0.726, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7138, decode.loss_mask: 0.7338, decode.loss_dice: 1.0289, decode.d0.loss_cls: 2.1250, decode.d0.loss_mask: 0.7770, decode.d0.loss_dice: 1.2471, decode.d1.loss_cls: 0.8827, decode.d1.loss_mask: 0.7538, decode.d1.loss_dice: 1.1219, decode.d2.loss_cls: 0.7713, decode.d2.loss_mask: 0.7428, decode.d2.loss_dice: 1.0654, decode.d3.loss_cls: 0.7404, decode.d3.loss_mask: 0.7352, decode.d3.loss_dice: 1.0379, decode.d4.loss_cls: 0.7326, decode.d4.loss_mask: 0.7277, decode.d4.loss_dice: 1.0434, decode.d5.loss_cls: 0.7217, decode.d5.loss_mask: 0.7351, decode.d5.loss_dice: 1.0409, decode.d6.loss_cls: 0.7125, decode.d6.loss_mask: 0.7319, decode.d6.loss_dice: 1.0288, decode.d7.loss_cls: 0.7105, decode.d7.loss_mask: 0.7354, decode.d7.loss_dice: 1.0360, decode.d8.loss_cls: 0.7098, decode.d8.loss_mask: 0.7346, decode.d8.loss_dice: 1.0336, loss: 26.9115, grad_norm: 81.6835 2023-11-21 23:34:01,491 - mmseg - INFO - per class results: 2023-11-21 23:34:01,496 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.45 | 88.75 | | building | 83.28 | 90.55 | | sky | 94.79 | 97.14 | | floor | 82.0 | 89.64 | | tree | 77.65 | 89.12 | | ceiling | 85.65 | 91.32 | | road | 85.78 | 90.86 | | bed | 91.24 | 96.48 | | windowpane | 61.55 | 84.1 | | grass | 64.56 | 78.34 | | cabinet | 60.02 | 73.32 | | sidewalk | 68.43 | 79.24 | | person | 85.12 | 91.22 | | earth | 38.09 | 53.96 | | door | 51.25 | 66.95 | | table | 63.89 | 74.6 | | mountain | 61.48 | 71.86 | | plant | 53.66 | 64.51 | | curtain | 73.98 | 86.31 | | chair | 60.1 | 70.06 | | car | 86.4 | 93.27 | | water | 51.61 | 64.56 | | painting | 68.6 | 92.44 | | sofa | 69.55 | 85.67 | | shelf | 47.27 | 72.0 | | house | 42.08 | 57.35 | | sea | 54.67 | 81.06 | | mirror | 73.64 | 85.69 | | rug | 46.38 | 55.19 | | field | 24.63 | 54.09 | | armchair | 39.77 | 64.47 | | seat | 67.35 | 88.49 | | fence | 43.09 | 68.35 | | desk | 38.41 | 61.69 | | rock | 49.83 | 69.64 | | wardrobe | 44.56 | 64.39 | | lamp | 67.43 | 80.23 | | bathtub | 74.17 | 85.96 | | railing | 36.17 | 61.91 | | cushion | 66.21 | 80.28 | | base | 14.97 | 30.18 | | box | 30.94 | 42.94 | | column | 52.15 | 74.42 | | signboard | 41.88 | 56.92 | | chest of drawers | 43.72 | 71.46 | | counter | 33.48 | 50.48 | | sand | 27.18 | 47.87 | | sink | 76.57 | 82.65 | | skyscraper | 42.63 | 54.37 | | fireplace | 68.82 | 91.05 | | refrigerator | 75.6 | 88.2 | | grandstand | 35.63 | 73.28 | | path | 19.72 | 30.54 | | stairs | 25.16 | 30.82 | | runway | 73.56 | 92.72 | | case | 48.85 | 58.06 | | pool table | 93.65 | 97.7 | | pillow | 64.39 | 73.68 | | screen door | 77.73 | 88.31 | | stairway | 21.98 | 46.37 | | river | 3.25 | 3.27 | | bridge | 74.4 | 84.87 | | bookcase | 32.41 | 53.52 | | blind | 23.41 | 24.01 | | coffee table | 62.03 | 88.92 | | toilet | 87.42 | 91.28 | | flower | 35.5 | 59.51 | | book | 52.01 | 71.12 | | hill | 5.73 | 13.46 | | bench | 55.02 | 82.02 | | countertop | 58.38 | 83.26 | | stove | 67.58 | 90.77 | | palm | 56.52 | 82.9 | | kitchen island | 36.21 | 86.72 | | computer | 73.99 | 85.89 | | swivel chair | 53.3 | 71.97 | | boat | 72.48 | 93.9 | | bar | 14.44 | 14.74 | | arcade machine | 53.91 | 56.68 | | hovel | 0.0 | 0.0 | | bus | 91.9 | 96.22 | | towel | 55.9 | 91.79 | | light | 58.97 | 74.84 | | truck | 35.47 | 55.84 | | tower | 5.79 | 8.83 | | chandelier | 63.07 | 83.01 | | awning | 34.86 | 58.31 | | streetlight | 35.55 | 53.14 | | booth | 0.0 | 0.0 | | television receiver | 69.69 | 87.57 | | airplane | 48.13 | 67.68 | | dirt track | 0.0 | 0.0 | | apparel | 27.42 | 53.48 | | pole | 34.82 | 56.84 | | land | 0.08 | 0.08 | | bannister | 11.37 | 16.38 | | escalator | 0.0 | 0.0 | | ottoman | 38.16 | 81.84 | | bottle | 27.31 | 36.51 | | buffet | 0.0 | 0.0 | | poster | 12.94 | 20.6 | | stage | 7.52 | 14.06 | | van | 40.44 | 63.25 | | ship | 0.0 | 0.0 | | fountain | 17.63 | 21.72 | | conveyer belt | 31.8 | 31.9 | | canopy | 0.0 | 0.0 | | washer | 37.35 | 67.65 | | plaything | 22.75 | 33.78 | | swimming pool | 18.46 | 40.67 | | stool | 44.69 | 74.3 | | barrel | 0.0 | 0.0 | | basket | 28.1 | 53.9 | | waterfall | 62.56 | 74.26 | | tent | 95.34 | 96.3 | | bag | 22.02 | 31.6 | | minibike | 69.23 | 89.08 | | cradle | 58.29 | 63.86 | | oven | 2.21 | 5.98 | | ball | 47.91 | 68.24 | | food | 60.22 | 67.58 | | step | 28.01 | 38.57 | | tank | 0.0 | 0.0 | | trade name | 35.94 | 48.64 | | microwave | 40.34 | 43.88 | | pot | 38.3 | 45.72 | | animal | 69.39 | 73.43 | | bicycle | 61.38 | 87.63 | | lake | 0.0 | 0.0 | | dishwasher | 57.55 | 84.9 | | screen | 56.56 | 91.92 | | blanket | 34.87 | 46.51 | | sculpture | 45.94 | 89.29 | | hood | 59.76 | 75.43 | | sconce | 47.51 | 66.55 | | vase | 47.05 | 76.25 | | traffic light | 42.11 | 67.2 | | tray | 11.51 | 18.51 | | ashcan | 38.35 | 74.86 | | fan | 61.74 | 81.48 | | pier | 0.0 | 0.0 | | crt screen | 0.2 | 0.6 | | plate | 57.49 | 74.64 | | monitor | 0.0 | 0.0 | | bulletin board | 24.97 | 26.53 | | shower | 7.75 | 8.86 | | radiator | 54.58 | 84.78 | | glass | 25.13 | 31.29 | | clock | 34.37 | 45.13 | | flag | 75.04 | 85.18 | +---------------------+-------+-------+ 2023-11-21 23:34:01,496 - mmseg - INFO - Summary: 2023-11-21 23:34:01,497 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 83.01 | 45.16 | 59.5 | +-------+-------+------+ 2023-11-21 23:34:01,668 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_l_640_160k_ade20k_ss/best_mIoU_iter_12000.pth was removed 2023-11-21 23:34:09,041 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_14000.pth. 2023-11-21 23:34:09,041 - mmseg - INFO - Best mIoU is 0.4516 at 14000 iter. 2023-11-21 23:34:09,041 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-21 23:34:09,042 - mmseg - INFO - Iter(val) [250] aAcc: 0.8301, mIoU: 0.4516, mAcc: 0.5950, IoU.wall: 0.7945, IoU.building: 0.8328, IoU.sky: 0.9479, IoU.floor: 0.8200, IoU.tree: 0.7765, IoU.ceiling: 0.8565, IoU.road: 0.8578, IoU.bed : 0.9124, IoU.windowpane: 0.6155, IoU.grass: 0.6456, IoU.cabinet: 0.6002, IoU.sidewalk: 0.6843, IoU.person: 0.8512, IoU.earth: 0.3809, IoU.door: 0.5125, IoU.table: 0.6389, IoU.mountain: 0.6148, IoU.plant: 0.5366, IoU.curtain: 0.7398, IoU.chair: 0.6010, IoU.car: 0.8640, IoU.water: 0.5161, IoU.painting: 0.6860, IoU.sofa: 0.6955, IoU.shelf: 0.4727, IoU.house: 0.4208, IoU.sea: 0.5467, IoU.mirror: 0.7364, IoU.rug: 0.4638, IoU.field: 0.2463, IoU.armchair: 0.3977, IoU.seat: 0.6735, IoU.fence: 0.4309, IoU.desk: 0.3841, IoU.rock: 0.4983, IoU.wardrobe: 0.4456, IoU.lamp: 0.6743, IoU.bathtub: 0.7417, IoU.railing: 0.3617, IoU.cushion: 0.6621, IoU.base: 0.1497, IoU.box: 0.3094, IoU.column: 0.5215, IoU.signboard: 0.4188, IoU.chest of drawers: 0.4372, IoU.counter: 0.3348, IoU.sand: 0.2718, IoU.sink: 0.7657, IoU.skyscraper: 0.4263, IoU.fireplace: 0.6882, IoU.refrigerator: 0.7560, IoU.grandstand: 0.3563, IoU.path: 0.1972, IoU.stairs: 0.2516, IoU.runway: 0.7356, IoU.case: 0.4885, IoU.pool table: 0.9365, IoU.pillow: 0.6439, IoU.screen door: 0.7773, IoU.stairway: 0.2198, IoU.river: 0.0325, IoU.bridge: 0.7440, IoU.bookcase: 0.3241, IoU.blind: 0.2341, IoU.coffee table: 0.6203, IoU.toilet: 0.8742, IoU.flower: 0.3550, IoU.book: 0.5201, IoU.hill: 0.0573, IoU.bench: 0.5502, IoU.countertop: 0.5838, IoU.stove: 0.6758, IoU.palm: 0.5652, IoU.kitchen island: 0.3621, IoU.computer: 0.7399, IoU.swivel chair: 0.5330, IoU.boat: 0.7248, IoU.bar: 0.1444, IoU.arcade machine: 0.5391, IoU.hovel: 0.0000, IoU.bus: 0.9190, IoU.towel: 0.5590, IoU.light: 0.5897, IoU.truck: 0.3547, IoU.tower: 0.0579, IoU.chandelier: 0.6307, IoU.awning: 0.3486, IoU.streetlight: 0.3555, IoU.booth: 0.0000, IoU.television receiver: 0.6969, IoU.airplane: 0.4813, IoU.dirt track: 0.0000, IoU.apparel: 0.2742, IoU.pole: 0.3482, IoU.land: 0.0008, IoU.bannister: 0.1137, IoU.escalator: 0.0000, IoU.ottoman: 0.3816, IoU.bottle: 0.2731, IoU.buffet: 0.0000, IoU.poster: 0.1294, IoU.stage: 0.0752, IoU.van: 0.4044, IoU.ship: 0.0000, IoU.fountain: 0.1763, IoU.conveyer belt: 0.3180, IoU.canopy: 0.0000, IoU.washer: 0.3735, IoU.plaything: 0.2275, IoU.swimming pool: 0.1846, IoU.stool: 0.4469, IoU.barrel: 0.0000, IoU.basket: 0.2810, IoU.waterfall: 0.6256, IoU.tent: 0.9534, IoU.bag: 0.2202, IoU.minibike: 0.6923, IoU.cradle: 0.5829, IoU.oven: 0.0221, IoU.ball: 0.4791, IoU.food: 0.6022, IoU.step: 0.2801, IoU.tank: 0.0000, IoU.trade name: 0.3594, IoU.microwave: 0.4034, IoU.pot: 0.3830, IoU.animal: 0.6939, IoU.bicycle: 0.6138, IoU.lake: 0.0000, IoU.dishwasher: 0.5755, IoU.screen: 0.5656, IoU.blanket: 0.3487, IoU.sculpture: 0.4594, IoU.hood: 0.5976, IoU.sconce: 0.4751, IoU.vase: 0.4705, IoU.traffic light: 0.4211, IoU.tray: 0.1151, IoU.ashcan: 0.3835, IoU.fan: 0.6174, IoU.pier: 0.0000, IoU.crt screen: 0.0020, IoU.plate: 0.5749, IoU.monitor: 0.0000, IoU.bulletin board: 0.2497, IoU.shower: 0.0775, IoU.radiator: 0.5458, IoU.glass: 0.2513, IoU.clock: 0.3437, IoU.flag: 0.7504, Acc.wall: 0.8875, Acc.building: 0.9055, Acc.sky: 0.9714, Acc.floor: 0.8964, Acc.tree: 0.8912, Acc.ceiling: 0.9132, Acc.road: 0.9086, Acc.bed : 0.9648, Acc.windowpane: 0.8410, Acc.grass: 0.7834, Acc.cabinet: 0.7332, Acc.sidewalk: 0.7924, Acc.person: 0.9122, Acc.earth: 0.5396, Acc.door: 0.6695, Acc.table: 0.7460, Acc.mountain: 0.7186, Acc.plant: 0.6451, Acc.curtain: 0.8631, Acc.chair: 0.7006, Acc.car: 0.9327, Acc.water: 0.6456, Acc.painting: 0.9244, Acc.sofa: 0.8567, Acc.shelf: 0.7200, Acc.house: 0.5735, Acc.sea: 0.8106, Acc.mirror: 0.8569, Acc.rug: 0.5519, Acc.field: 0.5409, Acc.armchair: 0.6447, Acc.seat: 0.8849, Acc.fence: 0.6835, Acc.desk: 0.6169, Acc.rock: 0.6964, Acc.wardrobe: 0.6439, Acc.lamp: 0.8023, Acc.bathtub: 0.8596, Acc.railing: 0.6191, Acc.cushion: 0.8028, Acc.base: 0.3018, Acc.box: 0.4294, Acc.column: 0.7442, Acc.signboard: 0.5692, Acc.chest of drawers: 0.7146, Acc.counter: 0.5048, Acc.sand: 0.4787, Acc.sink: 0.8265, Acc.skyscraper: 0.5437, Acc.fireplace: 0.9105, Acc.refrigerator: 0.8820, Acc.grandstand: 0.7328, Acc.path: 0.3054, Acc.stairs: 0.3082, Acc.runway: 0.9272, Acc.case: 0.5806, Acc.pool table: 0.9770, Acc.pillow: 0.7368, Acc.screen door: 0.8831, Acc.stairway: 0.4637, Acc.river: 0.0327, Acc.bridge: 0.8487, Acc.bookcase: 0.5352, Acc.blind: 0.2401, Acc.coffee table: 0.8892, Acc.toilet: 0.9128, Acc.flower: 0.5951, Acc.book: 0.7112, Acc.hill: 0.1346, Acc.bench: 0.8202, Acc.countertop: 0.8326, Acc.stove: 0.9077, Acc.palm: 0.8290, Acc.kitchen island: 0.8672, Acc.computer: 0.8589, Acc.swivel chair: 0.7197, Acc.boat: 0.9390, Acc.bar: 0.1474, Acc.arcade machine: 0.5668, Acc.hovel: 0.0000, Acc.bus: 0.9622, Acc.towel: 0.9179, Acc.light: 0.7484, Acc.truck: 0.5584, Acc.tower: 0.0883, Acc.chandelier: 0.8301, Acc.awning: 0.5831, Acc.streetlight: 0.5314, Acc.booth: 0.0000, Acc.television receiver: 0.8757, Acc.airplane: 0.6768, Acc.dirt track: 0.0000, Acc.apparel: 0.5348, Acc.pole: 0.5684, Acc.land: 0.0008, Acc.bannister: 0.1638, Acc.escalator: 0.0000, Acc.ottoman: 0.8184, Acc.bottle: 0.3651, Acc.buffet: 0.0000, Acc.poster: 0.2060, Acc.stage: 0.1406, Acc.van: 0.6325, Acc.ship: 0.0000, Acc.fountain: 0.2172, Acc.conveyer belt: 0.3190, Acc.canopy: 0.0000, Acc.washer: 0.6765, Acc.plaything: 0.3378, Acc.swimming pool: 0.4067, Acc.stool: 0.7430, Acc.barrel: 0.0000, Acc.basket: 0.5390, Acc.waterfall: 0.7426, Acc.tent: 0.9630, Acc.bag: 0.3160, Acc.minibike: 0.8908, Acc.cradle: 0.6386, Acc.oven: 0.0598, Acc.ball: 0.6824, Acc.food: 0.6758, Acc.step: 0.3857, Acc.tank: 0.0000, Acc.trade name: 0.4864, Acc.microwave: 0.4388, Acc.pot: 0.4572, Acc.animal: 0.7343, Acc.bicycle: 0.8763, Acc.lake: 0.0000, Acc.dishwasher: 0.8490, Acc.screen: 0.9192, Acc.blanket: 0.4651, Acc.sculpture: 0.8929, Acc.hood: 0.7543, Acc.sconce: 0.6655, Acc.vase: 0.7625, Acc.traffic light: 0.6720, Acc.tray: 0.1851, Acc.ashcan: 0.7486, Acc.fan: 0.8148, Acc.pier: 0.0000, Acc.crt screen: 0.0060, Acc.plate: 0.7464, Acc.monitor: 0.0000, Acc.bulletin board: 0.2653, Acc.shower: 0.0886, Acc.radiator: 0.8478, Acc.glass: 0.3129, Acc.clock: 0.4513, Acc.flag: 0.8518 2023-11-21 23:34:37,281 - mmseg - INFO - Iter [14050/160000] lr: 8.689e-06, eta: 1 day, 0:05:39, time: 1.109, data_time: 0.558, memory: 38143, decode.loss_cls: 0.7234, decode.loss_mask: 0.7303, decode.loss_dice: 1.0867, decode.d0.loss_cls: 2.1052, decode.d0.loss_mask: 0.7733, decode.d0.loss_dice: 1.3012, decode.d1.loss_cls: 0.8860, decode.d1.loss_mask: 0.7688, decode.d1.loss_dice: 1.1713, decode.d2.loss_cls: 0.7805, decode.d2.loss_mask: 0.7418, decode.d2.loss_dice: 1.1194, decode.d3.loss_cls: 0.7403, decode.d3.loss_mask: 0.7370, decode.d3.loss_dice: 1.0945, decode.d4.loss_cls: 0.7302, decode.d4.loss_mask: 0.7353, decode.d4.loss_dice: 1.0991, decode.d5.loss_cls: 0.7281, decode.d5.loss_mask: 0.7354, decode.d5.loss_dice: 1.0920, decode.d6.loss_cls: 0.7192, decode.d6.loss_mask: 0.7359, decode.d6.loss_dice: 1.0832, decode.d7.loss_cls: 0.7175, decode.d7.loss_mask: 0.7361, decode.d7.loss_dice: 1.0803, decode.d8.loss_cls: 0.7137, decode.d8.loss_mask: 0.7379, decode.d8.loss_dice: 1.0879, loss: 27.4916, grad_norm: 74.6764 2023-11-21 23:35:05,799 - mmseg - INFO - Iter [14100/160000] lr: 8.686e-06, eta: 1 day, 0:04:56, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7035, decode.loss_mask: 0.7419, decode.loss_dice: 1.0661, decode.d0.loss_cls: 2.1168, decode.d0.loss_mask: 0.7766, decode.d0.loss_dice: 1.2883, decode.d1.loss_cls: 0.8673, decode.d1.loss_mask: 0.7727, decode.d1.loss_dice: 1.1657, decode.d2.loss_cls: 0.7679, decode.d2.loss_mask: 0.7529, decode.d2.loss_dice: 1.1049, decode.d3.loss_cls: 0.7389, decode.d3.loss_mask: 0.7413, decode.d3.loss_dice: 1.0818, decode.d4.loss_cls: 0.7289, decode.d4.loss_mask: 0.7400, decode.d4.loss_dice: 1.0745, decode.d5.loss_cls: 0.7169, decode.d5.loss_mask: 0.7441, decode.d5.loss_dice: 1.0791, decode.d6.loss_cls: 0.7133, decode.d6.loss_mask: 0.7384, decode.d6.loss_dice: 1.0829, decode.d7.loss_cls: 0.6986, decode.d7.loss_mask: 0.7416, decode.d7.loss_dice: 1.0873, decode.d8.loss_cls: 0.7056, decode.d8.loss_mask: 0.7389, decode.d8.loss_dice: 1.0817, loss: 27.3584, grad_norm: 75.4085 2023-11-21 23:35:34,294 - mmseg - INFO - Iter [14150/160000] lr: 8.683e-06, eta: 1 day, 0:04:14, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7302, decode.loss_mask: 0.7033, decode.loss_dice: 1.0412, decode.d0.loss_cls: 2.1374, decode.d0.loss_mask: 0.7510, decode.d0.loss_dice: 1.2639, decode.d1.loss_cls: 0.8973, decode.d1.loss_mask: 0.7327, decode.d1.loss_dice: 1.1251, decode.d2.loss_cls: 0.7870, decode.d2.loss_mask: 0.7185, decode.d2.loss_dice: 1.0820, decode.d3.loss_cls: 0.7558, decode.d3.loss_mask: 0.7026, decode.d3.loss_dice: 1.0580, decode.d4.loss_cls: 0.7436, decode.d4.loss_mask: 0.7056, decode.d4.loss_dice: 1.0634, decode.d5.loss_cls: 0.7320, decode.d5.loss_mask: 0.7058, decode.d5.loss_dice: 1.0589, decode.d6.loss_cls: 0.7325, decode.d6.loss_mask: 0.7009, decode.d6.loss_dice: 1.0439, decode.d7.loss_cls: 0.7338, decode.d7.loss_mask: 0.7023, decode.d7.loss_dice: 1.0460, decode.d8.loss_cls: 0.7363, decode.d8.loss_mask: 0.7007, decode.d8.loss_dice: 1.0491, loss: 26.9408, grad_norm: 72.3331 2023-11-21 23:36:02,466 - mmseg - INFO - Iter [14200/160000] lr: 8.680e-06, eta: 1 day, 0:03:29, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6808, decode.loss_mask: 0.7355, decode.loss_dice: 1.0406, decode.d0.loss_cls: 2.0640, decode.d0.loss_mask: 0.7802, decode.d0.loss_dice: 1.2418, decode.d1.loss_cls: 0.8590, decode.d1.loss_mask: 0.7620, decode.d1.loss_dice: 1.1127, decode.d2.loss_cls: 0.7548, decode.d2.loss_mask: 0.7429, decode.d2.loss_dice: 1.0785, decode.d3.loss_cls: 0.7173, decode.d3.loss_mask: 0.7401, decode.d3.loss_dice: 1.0478, decode.d4.loss_cls: 0.7093, decode.d4.loss_mask: 0.7369, decode.d4.loss_dice: 1.0471, decode.d5.loss_cls: 0.6944, decode.d5.loss_mask: 0.7336, decode.d5.loss_dice: 1.0445, decode.d6.loss_cls: 0.6903, decode.d6.loss_mask: 0.7400, decode.d6.loss_dice: 1.0379, decode.d7.loss_cls: 0.6845, decode.d7.loss_mask: 0.7431, decode.d7.loss_dice: 1.0467, decode.d8.loss_cls: 0.6794, decode.d8.loss_mask: 0.7447, decode.d8.loss_dice: 1.0409, loss: 26.7315, grad_norm: 78.0538 2023-11-21 23:36:30,866 - mmseg - INFO - Iter [14250/160000] lr: 8.677e-06, eta: 1 day, 0:02:46, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7355, decode.loss_mask: 0.7238, decode.loss_dice: 1.0603, decode.d0.loss_cls: 2.1242, decode.d0.loss_mask: 0.7749, decode.d0.loss_dice: 1.2919, decode.d1.loss_cls: 0.8968, decode.d1.loss_mask: 0.7601, decode.d1.loss_dice: 1.1568, decode.d2.loss_cls: 0.7951, decode.d2.loss_mask: 0.7408, decode.d2.loss_dice: 1.0919, decode.d3.loss_cls: 0.7561, decode.d3.loss_mask: 0.7307, decode.d3.loss_dice: 1.0783, decode.d4.loss_cls: 0.7532, decode.d4.loss_mask: 0.7356, decode.d4.loss_dice: 1.0839, decode.d5.loss_cls: 0.7426, decode.d5.loss_mask: 0.7351, decode.d5.loss_dice: 1.0713, decode.d6.loss_cls: 0.7423, decode.d6.loss_mask: 0.7342, decode.d6.loss_dice: 1.0619, decode.d7.loss_cls: 0.7335, decode.d7.loss_mask: 0.7310, decode.d7.loss_dice: 1.0706, decode.d8.loss_cls: 0.7313, decode.d8.loss_mask: 0.7333, decode.d8.loss_dice: 1.0744, loss: 27.4513, grad_norm: 76.1728 2023-11-21 23:36:59,101 - mmseg - INFO - Iter [14300/160000] lr: 8.674e-06, eta: 1 day, 0:02:01, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6975, decode.loss_mask: 0.7301, decode.loss_dice: 1.0413, decode.d0.loss_cls: 2.0717, decode.d0.loss_mask: 0.7693, decode.d0.loss_dice: 1.2452, decode.d1.loss_cls: 0.8491, decode.d1.loss_mask: 0.7571, decode.d1.loss_dice: 1.1222, decode.d2.loss_cls: 0.7692, decode.d2.loss_mask: 0.7304, decode.d2.loss_dice: 1.0732, decode.d3.loss_cls: 0.7269, decode.d3.loss_mask: 0.7286, decode.d3.loss_dice: 1.0456, decode.d4.loss_cls: 0.7096, decode.d4.loss_mask: 0.7289, decode.d4.loss_dice: 1.0563, decode.d5.loss_cls: 0.7114, decode.d5.loss_mask: 0.7232, decode.d5.loss_dice: 1.0524, decode.d6.loss_cls: 0.7068, decode.d6.loss_mask: 0.7240, decode.d6.loss_dice: 1.0406, decode.d7.loss_cls: 0.6991, decode.d7.loss_mask: 0.7259, decode.d7.loss_dice: 1.0390, decode.d8.loss_cls: 0.6916, decode.d8.loss_mask: 0.7292, decode.d8.loss_dice: 1.0444, loss: 26.7398, grad_norm: 76.7539 2023-11-21 23:37:28,133 - mmseg - INFO - Iter [14350/160000] lr: 8.671e-06, eta: 1 day, 0:01:25, time: 0.581, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7134, decode.loss_mask: 0.7137, decode.loss_dice: 1.0516, decode.d0.loss_cls: 2.1357, decode.d0.loss_mask: 0.7544, decode.d0.loss_dice: 1.2623, decode.d1.loss_cls: 0.8852, decode.d1.loss_mask: 0.7484, decode.d1.loss_dice: 1.1487, decode.d2.loss_cls: 0.7794, decode.d2.loss_mask: 0.7265, decode.d2.loss_dice: 1.0975, decode.d3.loss_cls: 0.7387, decode.d3.loss_mask: 0.7211, decode.d3.loss_dice: 1.0680, decode.d4.loss_cls: 0.7294, decode.d4.loss_mask: 0.7164, decode.d4.loss_dice: 1.0688, decode.d5.loss_cls: 0.7293, decode.d5.loss_mask: 0.7144, decode.d5.loss_dice: 1.0558, decode.d6.loss_cls: 0.7167, decode.d6.loss_mask: 0.7143, decode.d6.loss_dice: 1.0541, decode.d7.loss_cls: 0.7210, decode.d7.loss_mask: 0.7163, decode.d7.loss_dice: 1.0550, decode.d8.loss_cls: 0.7253, decode.d8.loss_mask: 0.7098, decode.d8.loss_dice: 1.0497, loss: 27.0209, grad_norm: 71.0485 2023-11-21 23:37:56,975 - mmseg - INFO - Iter [14400/160000] lr: 8.668e-06, eta: 1 day, 0:00:46, time: 0.577, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7001, decode.loss_mask: 0.7274, decode.loss_dice: 1.0457, decode.d0.loss_cls: 2.0617, decode.d0.loss_mask: 0.7590, decode.d0.loss_dice: 1.2359, decode.d1.loss_cls: 0.8609, decode.d1.loss_mask: 0.7539, decode.d1.loss_dice: 1.1292, decode.d2.loss_cls: 0.7530, decode.d2.loss_mask: 0.7350, decode.d2.loss_dice: 1.0815, decode.d3.loss_cls: 0.7239, decode.d3.loss_mask: 0.7373, decode.d3.loss_dice: 1.0551, decode.d4.loss_cls: 0.7124, decode.d4.loss_mask: 0.7301, decode.d4.loss_dice: 1.0570, decode.d5.loss_cls: 0.7115, decode.d5.loss_mask: 0.7268, decode.d5.loss_dice: 1.0534, decode.d6.loss_cls: 0.7023, decode.d6.loss_mask: 0.7269, decode.d6.loss_dice: 1.0435, decode.d7.loss_cls: 0.7000, decode.d7.loss_mask: 0.7243, decode.d7.loss_dice: 1.0520, decode.d8.loss_cls: 0.6960, decode.d8.loss_mask: 0.7291, decode.d8.loss_dice: 1.0446, loss: 26.7697, grad_norm: 77.6648 2023-11-21 23:38:25,433 - mmseg - INFO - Iter [14450/160000] lr: 8.665e-06, eta: 1 day, 0:00:04, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7186, decode.loss_mask: 0.7141, decode.loss_dice: 1.0511, decode.d0.loss_cls: 2.1204, decode.d0.loss_mask: 0.7513, decode.d0.loss_dice: 1.2715, decode.d1.loss_cls: 0.8948, decode.d1.loss_mask: 0.7433, decode.d1.loss_dice: 1.1573, decode.d2.loss_cls: 0.7698, decode.d2.loss_mask: 0.7265, decode.d2.loss_dice: 1.0945, decode.d3.loss_cls: 0.7407, decode.d3.loss_mask: 0.7205, decode.d3.loss_dice: 1.0742, decode.d4.loss_cls: 0.7323, decode.d4.loss_mask: 0.7191, decode.d4.loss_dice: 1.0776, decode.d5.loss_cls: 0.7252, decode.d5.loss_mask: 0.7125, decode.d5.loss_dice: 1.0587, decode.d6.loss_cls: 0.7198, decode.d6.loss_mask: 0.7149, decode.d6.loss_dice: 1.0611, decode.d7.loss_cls: 0.7116, decode.d7.loss_mask: 0.7170, decode.d7.loss_dice: 1.0661, decode.d8.loss_cls: 0.7160, decode.d8.loss_mask: 0.7159, decode.d8.loss_dice: 1.0598, loss: 27.0561, grad_norm: 75.8037 2023-11-21 23:38:53,696 - mmseg - INFO - Iter [14500/160000] lr: 8.662e-06, eta: 23:59:21, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6885, decode.loss_mask: 0.7379, decode.loss_dice: 1.0147, decode.d0.loss_cls: 2.1023, decode.d0.loss_mask: 0.7688, decode.d0.loss_dice: 1.2279, decode.d1.loss_cls: 0.8498, decode.d1.loss_mask: 0.7560, decode.d1.loss_dice: 1.0963, decode.d2.loss_cls: 0.7522, decode.d2.loss_mask: 0.7404, decode.d2.loss_dice: 1.0494, decode.d3.loss_cls: 0.7168, decode.d3.loss_mask: 0.7338, decode.d3.loss_dice: 1.0275, decode.d4.loss_cls: 0.7000, decode.d4.loss_mask: 0.7315, decode.d4.loss_dice: 1.0298, decode.d5.loss_cls: 0.6899, decode.d5.loss_mask: 0.7315, decode.d5.loss_dice: 1.0174, decode.d6.loss_cls: 0.6846, decode.d6.loss_mask: 0.7300, decode.d6.loss_dice: 1.0207, decode.d7.loss_cls: 0.6817, decode.d7.loss_mask: 0.7350, decode.d7.loss_dice: 1.0185, decode.d8.loss_cls: 0.6813, decode.d8.loss_mask: 0.7360, decode.d8.loss_dice: 1.0211, loss: 26.4714, grad_norm: 78.0296 2023-11-21 23:39:22,031 - mmseg - INFO - Iter [14550/160000] lr: 8.659e-06, eta: 23:58:37, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7024, decode.loss_mask: 0.7204, decode.loss_dice: 1.0198, decode.d0.loss_cls: 2.0988, decode.d0.loss_mask: 0.7623, decode.d0.loss_dice: 1.2435, decode.d1.loss_cls: 0.8761, decode.d1.loss_mask: 0.7525, decode.d1.loss_dice: 1.1077, decode.d2.loss_cls: 0.7619, decode.d2.loss_mask: 0.7364, decode.d2.loss_dice: 1.0534, decode.d3.loss_cls: 0.7217, decode.d3.loss_mask: 0.7297, decode.d3.loss_dice: 1.0341, decode.d4.loss_cls: 0.7224, decode.d4.loss_mask: 0.7260, decode.d4.loss_dice: 1.0339, decode.d5.loss_cls: 0.7082, decode.d5.loss_mask: 0.7244, decode.d5.loss_dice: 1.0293, decode.d6.loss_cls: 0.7097, decode.d6.loss_mask: 0.7224, decode.d6.loss_dice: 1.0204, decode.d7.loss_cls: 0.7005, decode.d7.loss_mask: 0.7213, decode.d7.loss_dice: 1.0258, decode.d8.loss_cls: 0.7035, decode.d8.loss_mask: 0.7248, decode.d8.loss_dice: 1.0232, loss: 26.6165, grad_norm: 73.7123 2023-11-21 23:39:50,408 - mmseg - INFO - Iter [14600/160000] lr: 8.656e-06, eta: 23:57:55, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7105, decode.loss_mask: 0.7138, decode.loss_dice: 1.0255, decode.d0.loss_cls: 2.1243, decode.d0.loss_mask: 0.7474, decode.d0.loss_dice: 1.2475, decode.d1.loss_cls: 0.8852, decode.d1.loss_mask: 0.7359, decode.d1.loss_dice: 1.1115, decode.d2.loss_cls: 0.7690, decode.d2.loss_mask: 0.7212, decode.d2.loss_dice: 1.0626, decode.d3.loss_cls: 0.7341, decode.d3.loss_mask: 0.7168, decode.d3.loss_dice: 1.0417, decode.d4.loss_cls: 0.7193, decode.d4.loss_mask: 0.7174, decode.d4.loss_dice: 1.0342, decode.d5.loss_cls: 0.7059, decode.d5.loss_mask: 0.7149, decode.d5.loss_dice: 1.0425, decode.d6.loss_cls: 0.7068, decode.d6.loss_mask: 0.7104, decode.d6.loss_dice: 1.0289, decode.d7.loss_cls: 0.6981, decode.d7.loss_mask: 0.7142, decode.d7.loss_dice: 1.0366, decode.d8.loss_cls: 0.7035, decode.d8.loss_mask: 0.7139, decode.d8.loss_dice: 1.0290, loss: 26.6225, grad_norm: 71.5023 2023-11-21 23:40:18,928 - mmseg - INFO - Iter [14650/160000] lr: 8.653e-06, eta: 23:57:14, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6978, decode.loss_mask: 0.7539, decode.loss_dice: 1.0887, decode.d0.loss_cls: 2.0283, decode.d0.loss_mask: 0.7940, decode.d0.loss_dice: 1.2963, decode.d1.loss_cls: 0.8356, decode.d1.loss_mask: 0.7804, decode.d1.loss_dice: 1.1814, decode.d2.loss_cls: 0.7533, decode.d2.loss_mask: 0.7560, decode.d2.loss_dice: 1.1337, decode.d3.loss_cls: 0.7212, decode.d3.loss_mask: 0.7494, decode.d3.loss_dice: 1.0985, decode.d4.loss_cls: 0.7118, decode.d4.loss_mask: 0.7543, decode.d4.loss_dice: 1.1010, decode.d5.loss_cls: 0.7044, decode.d5.loss_mask: 0.7514, decode.d5.loss_dice: 1.1053, decode.d6.loss_cls: 0.6986, decode.d6.loss_mask: 0.7451, decode.d6.loss_dice: 1.0848, decode.d7.loss_cls: 0.6966, decode.d7.loss_mask: 0.7540, decode.d7.loss_dice: 1.0939, decode.d8.loss_cls: 0.6980, decode.d8.loss_mask: 0.7511, decode.d8.loss_dice: 1.0953, loss: 27.4139, grad_norm: 76.8737 2023-11-21 23:40:47,316 - mmseg - INFO - Iter [14700/160000] lr: 8.650e-06, eta: 23:56:31, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6553, decode.loss_mask: 0.7046, decode.loss_dice: 1.0142, decode.d0.loss_cls: 2.0589, decode.d0.loss_mask: 0.7485, decode.d0.loss_dice: 1.2075, decode.d1.loss_cls: 0.8399, decode.d1.loss_mask: 0.7385, decode.d1.loss_dice: 1.0926, decode.d2.loss_cls: 0.7302, decode.d2.loss_mask: 0.7123, decode.d2.loss_dice: 1.0374, decode.d3.loss_cls: 0.6833, decode.d3.loss_mask: 0.7100, decode.d3.loss_dice: 1.0129, decode.d4.loss_cls: 0.6753, decode.d4.loss_mask: 0.7080, decode.d4.loss_dice: 1.0178, decode.d5.loss_cls: 0.6671, decode.d5.loss_mask: 0.7096, decode.d5.loss_dice: 1.0156, decode.d6.loss_cls: 0.6614, decode.d6.loss_mask: 0.7132, decode.d6.loss_dice: 1.0133, decode.d7.loss_cls: 0.6551, decode.d7.loss_mask: 0.7114, decode.d7.loss_dice: 1.0144, decode.d8.loss_cls: 0.6559, decode.d8.loss_mask: 0.7082, decode.d8.loss_dice: 1.0156, loss: 25.8879, grad_norm: 76.3479 2023-11-21 23:41:15,721 - mmseg - INFO - Iter [14750/160000] lr: 8.647e-06, eta: 23:55:49, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7036, decode.loss_mask: 0.7404, decode.loss_dice: 1.0873, decode.d0.loss_cls: 2.0805, decode.d0.loss_mask: 0.7680, decode.d0.loss_dice: 1.2888, decode.d1.loss_cls: 0.8642, decode.d1.loss_mask: 0.7635, decode.d1.loss_dice: 1.1673, decode.d2.loss_cls: 0.7502, decode.d2.loss_mask: 0.7502, decode.d2.loss_dice: 1.1203, decode.d3.loss_cls: 0.7276, decode.d3.loss_mask: 0.7346, decode.d3.loss_dice: 1.0938, decode.d4.loss_cls: 0.7151, decode.d4.loss_mask: 0.7368, decode.d4.loss_dice: 1.0992, decode.d5.loss_cls: 0.6996, decode.d5.loss_mask: 0.7418, decode.d5.loss_dice: 1.0971, decode.d6.loss_cls: 0.7029, decode.d6.loss_mask: 0.7381, decode.d6.loss_dice: 1.0898, decode.d7.loss_cls: 0.7014, decode.d7.loss_mask: 0.7419, decode.d7.loss_dice: 1.0886, decode.d8.loss_cls: 0.6973, decode.d8.loss_mask: 0.7392, decode.d8.loss_dice: 1.0901, loss: 27.3192, grad_norm: 76.7374 2023-11-21 23:41:43,969 - mmseg - INFO - Iter [14800/160000] lr: 8.644e-06, eta: 23:55:06, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6844, decode.loss_mask: 0.7045, decode.loss_dice: 1.0395, decode.d0.loss_cls: 2.0351, decode.d0.loss_mask: 0.7320, decode.d0.loss_dice: 1.2384, decode.d1.loss_cls: 0.8427, decode.d1.loss_mask: 0.7434, decode.d1.loss_dice: 1.1174, decode.d2.loss_cls: 0.7394, decode.d2.loss_mask: 0.7197, decode.d2.loss_dice: 1.0663, decode.d3.loss_cls: 0.7027, decode.d3.loss_mask: 0.7117, decode.d3.loss_dice: 1.0492, decode.d4.loss_cls: 0.6966, decode.d4.loss_mask: 0.7076, decode.d4.loss_dice: 1.0473, decode.d5.loss_cls: 0.6875, decode.d5.loss_mask: 0.7109, decode.d5.loss_dice: 1.0442, decode.d6.loss_cls: 0.6950, decode.d6.loss_mask: 0.7064, decode.d6.loss_dice: 1.0331, decode.d7.loss_cls: 0.6865, decode.d7.loss_mask: 0.7107, decode.d7.loss_dice: 1.0343, decode.d8.loss_cls: 0.6851, decode.d8.loss_mask: 0.7095, decode.d8.loss_dice: 1.0344, loss: 26.3156, grad_norm: 75.5387 2023-11-21 23:42:12,359 - mmseg - INFO - Iter [14850/160000] lr: 8.641e-06, eta: 23:54:24, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7111, decode.loss_mask: 0.7208, decode.loss_dice: 1.0485, decode.d0.loss_cls: 2.0619, decode.d0.loss_mask: 0.7593, decode.d0.loss_dice: 1.2656, decode.d1.loss_cls: 0.8817, decode.d1.loss_mask: 0.7494, decode.d1.loss_dice: 1.1491, decode.d2.loss_cls: 0.7730, decode.d2.loss_mask: 0.7283, decode.d2.loss_dice: 1.0958, decode.d3.loss_cls: 0.7370, decode.d3.loss_mask: 0.7253, decode.d3.loss_dice: 1.0713, decode.d4.loss_cls: 0.7278, decode.d4.loss_mask: 0.7237, decode.d4.loss_dice: 1.0635, decode.d5.loss_cls: 0.7138, decode.d5.loss_mask: 0.7231, decode.d5.loss_dice: 1.0585, decode.d6.loss_cls: 0.7080, decode.d6.loss_mask: 0.7174, decode.d6.loss_dice: 1.0492, decode.d7.loss_cls: 0.7034, decode.d7.loss_mask: 0.7188, decode.d7.loss_dice: 1.0527, decode.d8.loss_cls: 0.7122, decode.d8.loss_mask: 0.7174, decode.d8.loss_dice: 1.0491, loss: 26.9168, grad_norm: 75.6664 2023-11-21 23:42:40,504 - mmseg - INFO - Iter [14900/160000] lr: 8.638e-06, eta: 23:53:40, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6875, decode.loss_mask: 0.7202, decode.loss_dice: 1.0278, decode.d0.loss_cls: 2.0658, decode.d0.loss_mask: 0.7669, decode.d0.loss_dice: 1.2477, decode.d1.loss_cls: 0.8582, decode.d1.loss_mask: 0.7539, decode.d1.loss_dice: 1.1191, decode.d2.loss_cls: 0.7586, decode.d2.loss_mask: 0.7344, decode.d2.loss_dice: 1.0692, decode.d3.loss_cls: 0.7257, decode.d3.loss_mask: 0.7269, decode.d3.loss_dice: 1.0433, decode.d4.loss_cls: 0.7092, decode.d4.loss_mask: 0.7287, decode.d4.loss_dice: 1.0391, decode.d5.loss_cls: 0.6969, decode.d5.loss_mask: 0.7267, decode.d5.loss_dice: 1.0392, decode.d6.loss_cls: 0.6913, decode.d6.loss_mask: 0.7235, decode.d6.loss_dice: 1.0304, decode.d7.loss_cls: 0.6948, decode.d7.loss_mask: 0.7246, decode.d7.loss_dice: 1.0317, decode.d8.loss_cls: 0.6878, decode.d8.loss_mask: 0.7282, decode.d8.loss_dice: 1.0294, loss: 26.5866, grad_norm: 74.3062 2023-11-21 23:43:08,892 - mmseg - INFO - Iter [14950/160000] lr: 8.635e-06, eta: 23:52:58, time: 0.568, data_time: 0.012, memory: 38143, decode.loss_cls: 0.6827, decode.loss_mask: 0.7385, decode.loss_dice: 1.0544, decode.d0.loss_cls: 2.0447, decode.d0.loss_mask: 0.7638, decode.d0.loss_dice: 1.2476, decode.d1.loss_cls: 0.8438, decode.d1.loss_mask: 0.7607, decode.d1.loss_dice: 1.1418, decode.d2.loss_cls: 0.7407, decode.d2.loss_mask: 0.7439, decode.d2.loss_dice: 1.0876, decode.d3.loss_cls: 0.7043, decode.d3.loss_mask: 0.7374, decode.d3.loss_dice: 1.0730, decode.d4.loss_cls: 0.6995, decode.d4.loss_mask: 0.7423, decode.d4.loss_dice: 1.0741, decode.d5.loss_cls: 0.6874, decode.d5.loss_mask: 0.7423, decode.d5.loss_dice: 1.0668, decode.d6.loss_cls: 0.6861, decode.d6.loss_mask: 0.7349, decode.d6.loss_dice: 1.0585, decode.d7.loss_cls: 0.6869, decode.d7.loss_mask: 0.7365, decode.d7.loss_dice: 1.0573, decode.d8.loss_cls: 0.6798, decode.d8.loss_mask: 0.7398, decode.d8.loss_dice: 1.0610, loss: 26.8180, grad_norm: 80.3816 2023-11-21 23:43:37,291 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-21 23:43:37,291 - mmseg - INFO - Iter [15000/160000] lr: 8.632e-06, eta: 23:52:16, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7030, decode.loss_mask: 0.7260, decode.loss_dice: 1.0383, decode.d0.loss_cls: 2.1004, decode.d0.loss_mask: 0.7567, decode.d0.loss_dice: 1.2588, decode.d1.loss_cls: 0.8803, decode.d1.loss_mask: 0.7506, decode.d1.loss_dice: 1.1385, decode.d2.loss_cls: 0.7657, decode.d2.loss_mask: 0.7380, decode.d2.loss_dice: 1.0819, decode.d3.loss_cls: 0.7410, decode.d3.loss_mask: 0.7304, decode.d3.loss_dice: 1.0614, decode.d4.loss_cls: 0.7236, decode.d4.loss_mask: 0.7335, decode.d4.loss_dice: 1.0595, decode.d5.loss_cls: 0.7193, decode.d5.loss_mask: 0.7310, decode.d5.loss_dice: 1.0543, decode.d6.loss_cls: 0.7099, decode.d6.loss_mask: 0.7291, decode.d6.loss_dice: 1.0476, decode.d7.loss_cls: 0.7081, decode.d7.loss_mask: 0.7294, decode.d7.loss_dice: 1.0476, decode.d8.loss_cls: 0.7044, decode.d8.loss_mask: 0.7270, decode.d8.loss_dice: 1.0487, loss: 26.9440, grad_norm: 75.0260 2023-11-21 23:44:05,582 - mmseg - INFO - Iter [15050/160000] lr: 8.629e-06, eta: 23:51:34, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6827, decode.loss_mask: 0.7399, decode.loss_dice: 1.0496, decode.d0.loss_cls: 2.0566, decode.d0.loss_mask: 0.7704, decode.d0.loss_dice: 1.2542, decode.d1.loss_cls: 0.8550, decode.d1.loss_mask: 0.7642, decode.d1.loss_dice: 1.1243, decode.d2.loss_cls: 0.7561, decode.d2.loss_mask: 0.7423, decode.d2.loss_dice: 1.0757, decode.d3.loss_cls: 0.7191, decode.d3.loss_mask: 0.7355, decode.d3.loss_dice: 1.0530, decode.d4.loss_cls: 0.7074, decode.d4.loss_mask: 0.7309, decode.d4.loss_dice: 1.0517, decode.d5.loss_cls: 0.7045, decode.d5.loss_mask: 0.7354, decode.d5.loss_dice: 1.0478, decode.d6.loss_cls: 0.6883, decode.d6.loss_mask: 0.7361, decode.d6.loss_dice: 1.0349, decode.d7.loss_cls: 0.6875, decode.d7.loss_mask: 0.7350, decode.d7.loss_dice: 1.0431, decode.d8.loss_cls: 0.6841, decode.d8.loss_mask: 0.7369, decode.d8.loss_dice: 1.0405, loss: 26.7428, grad_norm: 77.5740 2023-11-21 23:44:33,755 - mmseg - INFO - Iter [15100/160000] lr: 8.626e-06, eta: 23:50:50, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6742, decode.loss_mask: 0.7209, decode.loss_dice: 1.0257, decode.d0.loss_cls: 2.0214, decode.d0.loss_mask: 0.7583, decode.d0.loss_dice: 1.2285, decode.d1.loss_cls: 0.8385, decode.d1.loss_mask: 0.7415, decode.d1.loss_dice: 1.1025, decode.d2.loss_cls: 0.7421, decode.d2.loss_mask: 0.7237, decode.d2.loss_dice: 1.0576, decode.d3.loss_cls: 0.6998, decode.d3.loss_mask: 0.7170, decode.d3.loss_dice: 1.0283, decode.d4.loss_cls: 0.6916, decode.d4.loss_mask: 0.7184, decode.d4.loss_dice: 1.0354, decode.d5.loss_cls: 0.6899, decode.d5.loss_mask: 0.7161, decode.d5.loss_dice: 1.0252, decode.d6.loss_cls: 0.6825, decode.d6.loss_mask: 0.7122, decode.d6.loss_dice: 1.0094, decode.d7.loss_cls: 0.6768, decode.d7.loss_mask: 0.7178, decode.d7.loss_dice: 1.0208, decode.d8.loss_cls: 0.6753, decode.d8.loss_mask: 0.7184, decode.d8.loss_dice: 1.0240, loss: 26.1935, grad_norm: 80.2758 2023-11-21 23:45:01,920 - mmseg - INFO - Iter [15150/160000] lr: 8.623e-06, eta: 23:50:07, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6771, decode.loss_mask: 0.7355, decode.loss_dice: 1.0526, decode.d0.loss_cls: 1.9968, decode.d0.loss_mask: 0.7708, decode.d0.loss_dice: 1.2604, decode.d1.loss_cls: 0.8284, decode.d1.loss_mask: 0.7553, decode.d1.loss_dice: 1.1392, decode.d2.loss_cls: 0.7316, decode.d2.loss_mask: 0.7391, decode.d2.loss_dice: 1.0843, decode.d3.loss_cls: 0.7016, decode.d3.loss_mask: 0.7376, decode.d3.loss_dice: 1.0552, decode.d4.loss_cls: 0.6887, decode.d4.loss_mask: 0.7335, decode.d4.loss_dice: 1.0615, decode.d5.loss_cls: 0.6843, decode.d5.loss_mask: 0.7348, decode.d5.loss_dice: 1.0584, decode.d6.loss_cls: 0.6803, decode.d6.loss_mask: 0.7332, decode.d6.loss_dice: 1.0451, decode.d7.loss_cls: 0.6701, decode.d7.loss_mask: 0.7353, decode.d7.loss_dice: 1.0573, decode.d8.loss_cls: 0.6728, decode.d8.loss_mask: 0.7362, decode.d8.loss_dice: 1.0579, loss: 26.6148, grad_norm: 77.4427 2023-11-21 23:45:32,624 - mmseg - INFO - Iter [15200/160000] lr: 8.620e-06, eta: 23:49:47, time: 0.614, data_time: 0.057, memory: 38143, decode.loss_cls: 0.6809, decode.loss_mask: 0.7174, decode.loss_dice: 1.0338, decode.d0.loss_cls: 2.0058, decode.d0.loss_mask: 0.7483, decode.d0.loss_dice: 1.2407, decode.d1.loss_cls: 0.8378, decode.d1.loss_mask: 0.7472, decode.d1.loss_dice: 1.1084, decode.d2.loss_cls: 0.7445, decode.d2.loss_mask: 0.7273, decode.d2.loss_dice: 1.0630, decode.d3.loss_cls: 0.7020, decode.d3.loss_mask: 0.7241, decode.d3.loss_dice: 1.0502, decode.d4.loss_cls: 0.6931, decode.d4.loss_mask: 0.7226, decode.d4.loss_dice: 1.0420, decode.d5.loss_cls: 0.6923, decode.d5.loss_mask: 0.7243, decode.d5.loss_dice: 1.0443, decode.d6.loss_cls: 0.6795, decode.d6.loss_mask: 0.7216, decode.d6.loss_dice: 1.0332, decode.d7.loss_cls: 0.6800, decode.d7.loss_mask: 0.7224, decode.d7.loss_dice: 1.0424, decode.d8.loss_cls: 0.6819, decode.d8.loss_mask: 0.7188, decode.d8.loss_dice: 1.0379, loss: 26.3678, grad_norm: 78.7190 2023-11-21 23:46:01,111 - mmseg - INFO - Iter [15250/160000] lr: 8.617e-06, eta: 23:49:07, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6737, decode.loss_mask: 0.7004, decode.loss_dice: 1.0155, decode.d0.loss_cls: 2.0717, decode.d0.loss_mask: 0.7346, decode.d0.loss_dice: 1.2143, decode.d1.loss_cls: 0.8490, decode.d1.loss_mask: 0.7270, decode.d1.loss_dice: 1.0969, decode.d2.loss_cls: 0.7324, decode.d2.loss_mask: 0.7053, decode.d2.loss_dice: 1.0518, decode.d3.loss_cls: 0.7074, decode.d3.loss_mask: 0.6972, decode.d3.loss_dice: 1.0327, decode.d4.loss_cls: 0.7006, decode.d4.loss_mask: 0.6960, decode.d4.loss_dice: 1.0233, decode.d5.loss_cls: 0.6925, decode.d5.loss_mask: 0.6981, decode.d5.loss_dice: 1.0203, decode.d6.loss_cls: 0.6822, decode.d6.loss_mask: 0.6987, decode.d6.loss_dice: 1.0137, decode.d7.loss_cls: 0.6784, decode.d7.loss_mask: 0.6985, decode.d7.loss_dice: 1.0118, decode.d8.loss_cls: 0.6775, decode.d8.loss_mask: 0.7003, decode.d8.loss_dice: 1.0169, loss: 26.0187, grad_norm: 73.8950 2023-11-21 23:46:29,565 - mmseg - INFO - Iter [15300/160000] lr: 8.614e-06, eta: 23:48:26, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6887, decode.loss_mask: 0.7003, decode.loss_dice: 1.0154, decode.d0.loss_cls: 2.0508, decode.d0.loss_mask: 0.7499, decode.d0.loss_dice: 1.2440, decode.d1.loss_cls: 0.8438, decode.d1.loss_mask: 0.7400, decode.d1.loss_dice: 1.1130, decode.d2.loss_cls: 0.7489, decode.d2.loss_mask: 0.7191, decode.d2.loss_dice: 1.0550, decode.d3.loss_cls: 0.7132, decode.d3.loss_mask: 0.7117, decode.d3.loss_dice: 1.0306, decode.d4.loss_cls: 0.7061, decode.d4.loss_mask: 0.7115, decode.d4.loss_dice: 1.0333, decode.d5.loss_cls: 0.6988, decode.d5.loss_mask: 0.7087, decode.d5.loss_dice: 1.0233, decode.d6.loss_cls: 0.6896, decode.d6.loss_mask: 0.7039, decode.d6.loss_dice: 1.0211, decode.d7.loss_cls: 0.6854, decode.d7.loss_mask: 0.7046, decode.d7.loss_dice: 1.0231, decode.d8.loss_cls: 0.6848, decode.d8.loss_mask: 0.7071, decode.d8.loss_dice: 1.0241, loss: 26.2496, grad_norm: 73.4094 2023-11-21 23:46:57,836 - mmseg - INFO - Iter [15350/160000] lr: 8.611e-06, eta: 23:47:44, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6757, decode.loss_mask: 0.7112, decode.loss_dice: 1.0172, decode.d0.loss_cls: 2.0057, decode.d0.loss_mask: 0.7453, decode.d0.loss_dice: 1.2110, decode.d1.loss_cls: 0.8273, decode.d1.loss_mask: 0.7295, decode.d1.loss_dice: 1.0919, decode.d2.loss_cls: 0.7324, decode.d2.loss_mask: 0.7185, decode.d2.loss_dice: 1.0489, decode.d3.loss_cls: 0.7025, decode.d3.loss_mask: 0.7081, decode.d3.loss_dice: 1.0245, decode.d4.loss_cls: 0.6959, decode.d4.loss_mask: 0.7091, decode.d4.loss_dice: 1.0245, decode.d5.loss_cls: 0.6837, decode.d5.loss_mask: 0.7104, decode.d5.loss_dice: 1.0192, decode.d6.loss_cls: 0.6817, decode.d6.loss_mask: 0.7050, decode.d6.loss_dice: 1.0128, decode.d7.loss_cls: 0.6835, decode.d7.loss_mask: 0.7109, decode.d7.loss_dice: 1.0078, decode.d8.loss_cls: 0.6791, decode.d8.loss_mask: 0.7114, decode.d8.loss_dice: 1.0207, loss: 26.0052, grad_norm: 79.1625 2023-11-21 23:47:26,135 - mmseg - INFO - Iter [15400/160000] lr: 8.608e-06, eta: 23:47:02, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6702, decode.loss_mask: 0.7092, decode.loss_dice: 1.0222, decode.d0.loss_cls: 2.0138, decode.d0.loss_mask: 0.7505, decode.d0.loss_dice: 1.2238, decode.d1.loss_cls: 0.8303, decode.d1.loss_mask: 0.7357, decode.d1.loss_dice: 1.0999, decode.d2.loss_cls: 0.7371, decode.d2.loss_mask: 0.7165, decode.d2.loss_dice: 1.0622, decode.d3.loss_cls: 0.6980, decode.d3.loss_mask: 0.7112, decode.d3.loss_dice: 1.0309, decode.d4.loss_cls: 0.6881, decode.d4.loss_mask: 0.7102, decode.d4.loss_dice: 1.0284, decode.d5.loss_cls: 0.6826, decode.d5.loss_mask: 0.7145, decode.d5.loss_dice: 1.0279, decode.d6.loss_cls: 0.6768, decode.d6.loss_mask: 0.7053, decode.d6.loss_dice: 1.0161, decode.d7.loss_cls: 0.6715, decode.d7.loss_mask: 0.7101, decode.d7.loss_dice: 1.0208, decode.d8.loss_cls: 0.6744, decode.d8.loss_mask: 0.7113, decode.d8.loss_dice: 1.0258, loss: 26.0754, grad_norm: 71.3683 2023-11-21 23:47:54,497 - mmseg - INFO - Iter [15450/160000] lr: 8.605e-06, eta: 23:46:21, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6847, decode.loss_mask: 0.7331, decode.loss_dice: 1.0417, decode.d0.loss_cls: 2.0533, decode.d0.loss_mask: 0.7597, decode.d0.loss_dice: 1.2353, decode.d1.loss_cls: 0.8316, decode.d1.loss_mask: 0.7614, decode.d1.loss_dice: 1.1209, decode.d2.loss_cls: 0.7374, decode.d2.loss_mask: 0.7382, decode.d2.loss_dice: 1.0752, decode.d3.loss_cls: 0.6981, decode.d3.loss_mask: 0.7396, decode.d3.loss_dice: 1.0555, decode.d4.loss_cls: 0.6955, decode.d4.loss_mask: 0.7301, decode.d4.loss_dice: 1.0534, decode.d5.loss_cls: 0.6856, decode.d5.loss_mask: 0.7322, decode.d5.loss_dice: 1.0498, decode.d6.loss_cls: 0.6831, decode.d6.loss_mask: 0.7297, decode.d6.loss_dice: 1.0433, decode.d7.loss_cls: 0.6816, decode.d7.loss_mask: 0.7297, decode.d7.loss_dice: 1.0530, decode.d8.loss_cls: 0.6825, decode.d8.loss_mask: 0.7313, decode.d8.loss_dice: 1.0418, loss: 26.5885, grad_norm: 78.9093 2023-11-21 23:48:22,894 - mmseg - INFO - Iter [15500/160000] lr: 8.602e-06, eta: 23:45:40, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6855, decode.loss_mask: 0.7440, decode.loss_dice: 1.0513, decode.d0.loss_cls: 2.0433, decode.d0.loss_mask: 0.7699, decode.d0.loss_dice: 1.2564, decode.d1.loss_cls: 0.8359, decode.d1.loss_mask: 0.7686, decode.d1.loss_dice: 1.1454, decode.d2.loss_cls: 0.7459, decode.d2.loss_mask: 0.7553, decode.d2.loss_dice: 1.0971, decode.d3.loss_cls: 0.7110, decode.d3.loss_mask: 0.7456, decode.d3.loss_dice: 1.0668, decode.d4.loss_cls: 0.7001, decode.d4.loss_mask: 0.7431, decode.d4.loss_dice: 1.0644, decode.d5.loss_cls: 0.6935, decode.d5.loss_mask: 0.7388, decode.d5.loss_dice: 1.0643, decode.d6.loss_cls: 0.6828, decode.d6.loss_mask: 0.7463, decode.d6.loss_dice: 1.0570, decode.d7.loss_cls: 0.6832, decode.d7.loss_mask: 0.7413, decode.d7.loss_dice: 1.0627, decode.d8.loss_cls: 0.6831, decode.d8.loss_mask: 0.7447, decode.d8.loss_dice: 1.0606, loss: 26.8878, grad_norm: 74.8903 2023-11-21 23:48:51,221 - mmseg - INFO - Iter [15550/160000] lr: 8.599e-06, eta: 23:44:58, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6918, decode.loss_mask: 0.7505, decode.loss_dice: 1.0192, decode.d0.loss_cls: 2.0375, decode.d0.loss_mask: 0.7801, decode.d0.loss_dice: 1.2210, decode.d1.loss_cls: 0.8453, decode.d1.loss_mask: 0.7695, decode.d1.loss_dice: 1.0931, decode.d2.loss_cls: 0.7572, decode.d2.loss_mask: 0.7492, decode.d2.loss_dice: 1.0481, decode.d3.loss_cls: 0.7204, decode.d3.loss_mask: 0.7451, decode.d3.loss_dice: 1.0227, decode.d4.loss_cls: 0.6994, decode.d4.loss_mask: 0.7494, decode.d4.loss_dice: 1.0227, decode.d5.loss_cls: 0.6908, decode.d5.loss_mask: 0.7548, decode.d5.loss_dice: 1.0242, decode.d6.loss_cls: 0.6908, decode.d6.loss_mask: 0.7507, decode.d6.loss_dice: 1.0210, decode.d7.loss_cls: 0.6900, decode.d7.loss_mask: 0.7503, decode.d7.loss_dice: 1.0166, decode.d8.loss_cls: 0.6951, decode.d8.loss_mask: 0.7476, decode.d8.loss_dice: 1.0234, loss: 26.5776, grad_norm: 76.2037 2023-11-21 23:49:19,917 - mmseg - INFO - Iter [15600/160000] lr: 8.596e-06, eta: 23:44:21, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7268, decode.loss_mask: 0.7028, decode.loss_dice: 1.0423, decode.d0.loss_cls: 2.1458, decode.d0.loss_mask: 0.7404, decode.d0.loss_dice: 1.2629, decode.d1.loss_cls: 0.8949, decode.d1.loss_mask: 0.7278, decode.d1.loss_dice: 1.1382, decode.d2.loss_cls: 0.7933, decode.d2.loss_mask: 0.7036, decode.d2.loss_dice: 1.0760, decode.d3.loss_cls: 0.7620, decode.d3.loss_mask: 0.7019, decode.d3.loss_dice: 1.0548, decode.d4.loss_cls: 0.7430, decode.d4.loss_mask: 0.7030, decode.d4.loss_dice: 1.0555, decode.d5.loss_cls: 0.7311, decode.d5.loss_mask: 0.7089, decode.d5.loss_dice: 1.0586, decode.d6.loss_cls: 0.7330, decode.d6.loss_mask: 0.7050, decode.d6.loss_dice: 1.0428, decode.d7.loss_cls: 0.7323, decode.d7.loss_mask: 0.7048, decode.d7.loss_dice: 1.0411, decode.d8.loss_cls: 0.7218, decode.d8.loss_mask: 0.7054, decode.d8.loss_dice: 1.0439, loss: 26.9039, grad_norm: 76.0292 2023-11-21 23:49:48,401 - mmseg - INFO - Iter [15650/160000] lr: 8.593e-06, eta: 23:43:41, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7027, decode.loss_mask: 0.7175, decode.loss_dice: 1.0587, decode.d0.loss_cls: 2.0352, decode.d0.loss_mask: 0.7611, decode.d0.loss_dice: 1.2676, decode.d1.loss_cls: 0.8510, decode.d1.loss_mask: 0.7518, decode.d1.loss_dice: 1.1361, decode.d2.loss_cls: 0.7514, decode.d2.loss_mask: 0.7348, decode.d2.loss_dice: 1.0974, decode.d3.loss_cls: 0.7308, decode.d3.loss_mask: 0.7271, decode.d3.loss_dice: 1.0694, decode.d4.loss_cls: 0.7168, decode.d4.loss_mask: 0.7267, decode.d4.loss_dice: 1.0707, decode.d5.loss_cls: 0.7069, decode.d5.loss_mask: 0.7247, decode.d5.loss_dice: 1.0726, decode.d6.loss_cls: 0.7129, decode.d6.loss_mask: 0.7217, decode.d6.loss_dice: 1.0563, decode.d7.loss_cls: 0.7124, decode.d7.loss_mask: 0.7174, decode.d7.loss_dice: 1.0557, decode.d8.loss_cls: 0.7048, decode.d8.loss_mask: 0.7218, decode.d8.loss_dice: 1.0601, loss: 26.8742, grad_norm: 77.8908 2023-11-21 23:50:16,760 - mmseg - INFO - Iter [15700/160000] lr: 8.590e-06, eta: 23:43:00, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.7094, decode.loss_mask: 0.7132, decode.loss_dice: 1.0418, decode.d0.loss_cls: 2.0691, decode.d0.loss_mask: 0.7541, decode.d0.loss_dice: 1.2485, decode.d1.loss_cls: 0.8624, decode.d1.loss_mask: 0.7456, decode.d1.loss_dice: 1.1266, decode.d2.loss_cls: 0.7670, decode.d2.loss_mask: 0.7257, decode.d2.loss_dice: 1.0732, decode.d3.loss_cls: 0.7338, decode.d3.loss_mask: 0.7200, decode.d3.loss_dice: 1.0494, decode.d4.loss_cls: 0.7311, decode.d4.loss_mask: 0.7156, decode.d4.loss_dice: 1.0510, decode.d5.loss_cls: 0.7267, decode.d5.loss_mask: 0.7136, decode.d5.loss_dice: 1.0456, decode.d6.loss_cls: 0.7151, decode.d6.loss_mask: 0.7153, decode.d6.loss_dice: 1.0374, decode.d7.loss_cls: 0.7136, decode.d7.loss_mask: 0.7168, decode.d7.loss_dice: 1.0445, decode.d8.loss_cls: 0.7131, decode.d8.loss_mask: 0.7165, decode.d8.loss_dice: 1.0431, loss: 26.7389, grad_norm: 79.9345 2023-11-21 23:50:45,096 - mmseg - INFO - Iter [15750/160000] lr: 8.587e-06, eta: 23:42:19, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6646, decode.loss_mask: 0.6865, decode.loss_dice: 1.0320, decode.d0.loss_cls: 2.0592, decode.d0.loss_mask: 0.7177, decode.d0.loss_dice: 1.2292, decode.d1.loss_cls: 0.8367, decode.d1.loss_mask: 0.7088, decode.d1.loss_dice: 1.1153, decode.d2.loss_cls: 0.7375, decode.d2.loss_mask: 0.6931, decode.d2.loss_dice: 1.0644, decode.d3.loss_cls: 0.7025, decode.d3.loss_mask: 0.6871, decode.d3.loss_dice: 1.0437, decode.d4.loss_cls: 0.6903, decode.d4.loss_mask: 0.6875, decode.d4.loss_dice: 1.0405, decode.d5.loss_cls: 0.6773, decode.d5.loss_mask: 0.6913, decode.d5.loss_dice: 1.0323, decode.d6.loss_cls: 0.6746, decode.d6.loss_mask: 0.6831, decode.d6.loss_dice: 1.0272, decode.d7.loss_cls: 0.6715, decode.d7.loss_mask: 0.6820, decode.d7.loss_dice: 1.0332, decode.d8.loss_cls: 0.6699, decode.d8.loss_mask: 0.6866, decode.d8.loss_dice: 1.0313, loss: 25.9570, grad_norm: 72.4284 2023-11-21 23:51:13,573 - mmseg - INFO - Iter [15800/160000] lr: 8.584e-06, eta: 23:41:39, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6482, decode.loss_mask: 0.7113, decode.loss_dice: 1.0320, decode.d0.loss_cls: 1.9968, decode.d0.loss_mask: 0.7506, decode.d0.loss_dice: 1.2181, decode.d1.loss_cls: 0.8102, decode.d1.loss_mask: 0.7330, decode.d1.loss_dice: 1.1000, decode.d2.loss_cls: 0.7121, decode.d2.loss_mask: 0.7197, decode.d2.loss_dice: 1.0540, decode.d3.loss_cls: 0.6813, decode.d3.loss_mask: 0.7142, decode.d3.loss_dice: 1.0359, decode.d4.loss_cls: 0.6716, decode.d4.loss_mask: 0.7104, decode.d4.loss_dice: 1.0333, decode.d5.loss_cls: 0.6632, decode.d5.loss_mask: 0.7144, decode.d5.loss_dice: 1.0351, decode.d6.loss_cls: 0.6584, decode.d6.loss_mask: 0.7166, decode.d6.loss_dice: 1.0274, decode.d7.loss_cls: 0.6504, decode.d7.loss_mask: 0.7144, decode.d7.loss_dice: 1.0318, decode.d8.loss_cls: 0.6514, decode.d8.loss_mask: 0.7096, decode.d8.loss_dice: 1.0304, loss: 25.9359, grad_norm: 72.9898 2023-11-21 23:51:42,177 - mmseg - INFO - Iter [15850/160000] lr: 8.581e-06, eta: 23:41:01, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6889, decode.loss_mask: 0.7341, decode.loss_dice: 1.0390, decode.d0.loss_cls: 2.0110, decode.d0.loss_mask: 0.7620, decode.d0.loss_dice: 1.2428, decode.d1.loss_cls: 0.8506, decode.d1.loss_mask: 0.7575, decode.d1.loss_dice: 1.1161, decode.d2.loss_cls: 0.7375, decode.d2.loss_mask: 0.7426, decode.d2.loss_dice: 1.0687, decode.d3.loss_cls: 0.7061, decode.d3.loss_mask: 0.7361, decode.d3.loss_dice: 1.0421, decode.d4.loss_cls: 0.7030, decode.d4.loss_mask: 0.7319, decode.d4.loss_dice: 1.0398, decode.d5.loss_cls: 0.6880, decode.d5.loss_mask: 0.7292, decode.d5.loss_dice: 1.0364, decode.d6.loss_cls: 0.6859, decode.d6.loss_mask: 0.7329, decode.d6.loss_dice: 1.0308, decode.d7.loss_cls: 0.6859, decode.d7.loss_mask: 0.7323, decode.d7.loss_dice: 1.0345, decode.d8.loss_cls: 0.6903, decode.d8.loss_mask: 0.7315, decode.d8.loss_dice: 1.0321, loss: 26.5197, grad_norm: 77.2807 2023-11-21 23:52:10,728 - mmseg - INFO - Iter [15900/160000] lr: 8.578e-06, eta: 23:40:22, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6814, decode.loss_mask: 0.7285, decode.loss_dice: 1.0189, decode.d0.loss_cls: 2.0313, decode.d0.loss_mask: 0.7710, decode.d0.loss_dice: 1.2310, decode.d1.loss_cls: 0.8407, decode.d1.loss_mask: 0.7575, decode.d1.loss_dice: 1.1096, decode.d2.loss_cls: 0.7437, decode.d2.loss_mask: 0.7444, decode.d2.loss_dice: 1.0611, decode.d3.loss_cls: 0.7088, decode.d3.loss_mask: 0.7262, decode.d3.loss_dice: 1.0370, decode.d4.loss_cls: 0.7038, decode.d4.loss_mask: 0.7267, decode.d4.loss_dice: 1.0352, decode.d5.loss_cls: 0.6959, decode.d5.loss_mask: 0.7287, decode.d5.loss_dice: 1.0298, decode.d6.loss_cls: 0.6835, decode.d6.loss_mask: 0.7294, decode.d6.loss_dice: 1.0208, decode.d7.loss_cls: 0.6809, decode.d7.loss_mask: 0.7322, decode.d7.loss_dice: 1.0244, decode.d8.loss_cls: 0.6755, decode.d8.loss_mask: 0.7284, decode.d8.loss_dice: 1.0235, loss: 26.4100, grad_norm: 85.0047 2023-11-21 23:52:39,108 - mmseg - INFO - Iter [15950/160000] lr: 8.575e-06, eta: 23:39:42, time: 0.568, data_time: 0.012, memory: 38143, decode.loss_cls: 0.6817, decode.loss_mask: 0.7228, decode.loss_dice: 1.0547, decode.d0.loss_cls: 2.0388, decode.d0.loss_mask: 0.7564, decode.d0.loss_dice: 1.2667, decode.d1.loss_cls: 0.8399, decode.d1.loss_mask: 0.7510, decode.d1.loss_dice: 1.1311, decode.d2.loss_cls: 0.7495, decode.d2.loss_mask: 0.7340, decode.d2.loss_dice: 1.0840, decode.d3.loss_cls: 0.7169, decode.d3.loss_mask: 0.7253, decode.d3.loss_dice: 1.0612, decode.d4.loss_cls: 0.7013, decode.d4.loss_mask: 0.7260, decode.d4.loss_dice: 1.0707, decode.d5.loss_cls: 0.6944, decode.d5.loss_mask: 0.7292, decode.d5.loss_dice: 1.0653, decode.d6.loss_cls: 0.6982, decode.d6.loss_mask: 0.7144, decode.d6.loss_dice: 1.0521, decode.d7.loss_cls: 0.6857, decode.d7.loss_mask: 0.7233, decode.d7.loss_dice: 1.0523, decode.d8.loss_cls: 0.6868, decode.d8.loss_mask: 0.7234, decode.d8.loss_dice: 1.0569, loss: 26.6942, grad_norm: 80.0358 2023-11-21 23:53:07,642 - mmseg - INFO - Saving checkpoint at 16000 iterations 2023-11-21 23:53:15,959 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-21 23:53:15,959 - mmseg - INFO - Iter [16000/160000] lr: 8.572e-06, eta: 23:40:18, time: 0.737, data_time: 0.013, memory: 38143, decode.loss_cls: 0.7117, decode.loss_mask: 0.7218, decode.loss_dice: 1.0716, decode.d0.loss_cls: 2.0797, decode.d0.loss_mask: 0.7765, decode.d0.loss_dice: 1.2825, decode.d1.loss_cls: 0.8727, decode.d1.loss_mask: 0.7609, decode.d1.loss_dice: 1.1657, decode.d2.loss_cls: 0.7733, decode.d2.loss_mask: 0.7448, decode.d2.loss_dice: 1.1152, decode.d3.loss_cls: 0.7362, decode.d3.loss_mask: 0.7332, decode.d3.loss_dice: 1.0798, decode.d4.loss_cls: 0.7231, decode.d4.loss_mask: 0.7274, decode.d4.loss_dice: 1.0779, decode.d5.loss_cls: 0.7156, decode.d5.loss_mask: 0.7290, decode.d5.loss_dice: 1.0740, decode.d6.loss_cls: 0.7134, decode.d6.loss_mask: 0.7245, decode.d6.loss_dice: 1.0600, decode.d7.loss_cls: 0.7125, decode.d7.loss_mask: 0.7207, decode.d7.loss_dice: 1.0697, decode.d8.loss_cls: 0.7106, decode.d8.loss_mask: 0.7236, decode.d8.loss_dice: 1.0662, loss: 27.1740, grad_norm: 79.4062 2023-11-21 23:53:35,542 - mmseg - INFO - per class results: 2023-11-21 23:53:35,547 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.97 | 87.29 | | building | 82.09 | 92.89 | | sky | 94.8 | 97.19 | | floor | 81.26 | 90.32 | | tree | 76.79 | 87.45 | | ceiling | 85.74 | 93.56 | | road | 83.15 | 85.69 | | bed | 92.05 | 95.75 | | windowpane | 62.09 | 82.44 | | grass | 60.89 | 69.14 | | cabinet | 60.44 | 74.23 | | sidewalk | 64.83 | 86.69 | | person | 85.69 | 93.11 | | earth | 40.4 | 57.45 | | door | 53.41 | 72.58 | | table | 60.21 | 72.77 | | mountain | 61.35 | 81.3 | | plant | 55.02 | 66.83 | | curtain | 76.0 | 86.7 | | chair | 58.23 | 70.18 | | car | 87.09 | 93.87 | | water | 55.13 | 74.44 | | painting | 71.34 | 88.47 | | sofa | 71.85 | 88.82 | | shelf | 44.5 | 59.32 | | house | 21.1 | 24.14 | | sea | 58.23 | 76.93 | | mirror | 71.37 | 86.63 | | rug | 39.86 | 47.7 | | field | 25.81 | 64.32 | | armchair | 42.5 | 65.03 | | seat | 68.46 | 82.2 | | fence | 45.73 | 58.16 | | desk | 39.59 | 64.15 | | rock | 49.02 | 70.16 | | wardrobe | 45.59 | 75.85 | | lamp | 68.75 | 85.47 | | bathtub | 73.41 | 83.38 | | railing | 34.31 | 67.18 | | cushion | 67.74 | 81.68 | | base | 18.0 | 27.74 | | box | 27.53 | 36.35 | | column | 50.36 | 76.09 | | signboard | 37.98 | 58.47 | | chest of drawers | 38.37 | 54.25 | | counter | 26.88 | 41.24 | | sand | 31.42 | 43.5 | | sink | 75.9 | 82.95 | | skyscraper | 34.51 | 39.93 | | fireplace | 73.54 | 90.14 | | refrigerator | 78.16 | 90.65 | | grandstand | 52.53 | 63.72 | | path | 16.19 | 20.18 | | stairs | 17.98 | 21.2 | | runway | 73.35 | 91.33 | | case | 58.94 | 76.39 | | pool table | 87.89 | 97.24 | | pillow | 62.68 | 83.28 | | screen door | 73.5 | 80.88 | | stairway | 23.94 | 60.95 | | river | 23.57 | 35.5 | | bridge | 75.71 | 88.68 | | bookcase | 32.51 | 62.13 | | blind | 32.41 | 36.13 | | coffee table | 62.24 | 87.44 | | toilet | 79.57 | 91.06 | | flower | 38.02 | 59.83 | | book | 45.49 | 71.69 | | hill | 4.16 | 5.33 | | bench | 58.43 | 75.63 | | countertop | 57.86 | 76.87 | | stove | 72.39 | 86.19 | | palm | 54.72 | 79.9 | | kitchen island | 30.74 | 82.53 | | computer | 77.04 | 86.12 | | swivel chair | 52.1 | 75.15 | | boat | 71.79 | 94.96 | | bar | 14.95 | 15.23 | | arcade machine | 34.69 | 37.47 | | hovel | 6.91 | 7.19 | | bus | 93.18 | 96.83 | | towel | 74.14 | 88.9 | | light | 60.72 | 71.91 | | truck | 41.5 | 55.75 | | tower | 29.38 | 49.87 | | chandelier | 69.98 | 83.64 | | awning | 33.91 | 60.29 | | streetlight | 36.18 | 54.07 | | booth | 8.92 | 8.92 | | television receiver | 77.57 | 83.18 | | airplane | 64.8 | 71.36 | | dirt track | 0.0 | 0.0 | | apparel | 41.28 | 70.5 | | pole | 33.77 | 52.92 | | land | 0.09 | 0.09 | | bannister | 9.16 | 12.99 | | escalator | 0.0 | 0.0 | | ottoman | 50.14 | 70.89 | | bottle | 30.15 | 42.38 | | buffet | 0.0 | 0.0 | | poster | 31.41 | 49.9 | | stage | 9.93 | 18.68 | | van | 42.72 | 69.29 | | ship | 0.0 | 0.0 | | fountain | 5.66 | 7.04 | | conveyer belt | 24.99 | 30.42 | | canopy | 1.46 | 1.91 | | washer | 69.18 | 73.95 | | plaything | 40.11 | 69.02 | | swimming pool | 36.24 | 45.35 | | stool | 50.13 | 68.04 | | barrel | 59.65 | 63.62 | | basket | 34.92 | 56.59 | | waterfall | 41.83 | 58.56 | | tent | 95.64 | 98.15 | | bag | 24.34 | 44.35 | | minibike | 74.4 | 88.0 | | cradle | 87.76 | 94.4 | | oven | 10.96 | 31.85 | | ball | 52.7 | 75.0 | | food | 62.92 | 72.98 | | step | 28.84 | 43.69 | | tank | 22.65 | 22.66 | | trade name | 34.82 | 50.16 | | microwave | 41.48 | 45.79 | | pot | 60.89 | 75.75 | | animal | 71.14 | 73.45 | | bicycle | 57.02 | 87.57 | | lake | 0.0 | 0.0 | | dishwasher | 76.53 | 91.99 | | screen | 51.4 | 92.63 | | blanket | 32.43 | 43.1 | | sculpture | 35.18 | 90.67 | | hood | 63.85 | 91.04 | | sconce | 44.71 | 53.39 | | vase | 50.09 | 72.75 | | traffic light | 38.71 | 74.03 | | tray | 14.67 | 22.93 | | ashcan | 40.41 | 73.92 | | fan | 67.94 | 81.48 | | pier | 0.0 | 0.0 | | crt screen | 4.52 | 12.25 | | plate | 62.05 | 80.8 | | monitor | 0.29 | 0.34 | | bulletin board | 18.74 | 20.88 | | shower | 9.67 | 11.92 | | radiator | 65.96 | 80.06 | | glass | 25.49 | 29.74 | | clock | 32.02 | 44.38 | | flag | 72.38 | 83.98 | +---------------------+-------+-------+ 2023-11-21 23:53:35,547 - mmseg - INFO - Summary: 2023-11-21 23:53:35,547 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.01 | 47.44 | 61.44 | +-------+-------+-------+ 2023-11-21 23:53:35,850 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_l_640_160k_ade20k_ss/best_mIoU_iter_14000.pth was removed 2023-11-21 23:53:42,848 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. 2023-11-21 23:53:42,849 - mmseg - INFO - Best mIoU is 0.4744 at 16000 iter. 2023-11-21 23:53:42,849 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-21 23:53:42,849 - mmseg - INFO - Iter(val) [250] aAcc: 0.8301, mIoU: 0.4744, mAcc: 0.6144, IoU.wall: 0.7997, IoU.building: 0.8209, IoU.sky: 0.9480, IoU.floor: 0.8126, IoU.tree: 0.7679, IoU.ceiling: 0.8574, IoU.road: 0.8315, IoU.bed : 0.9205, IoU.windowpane: 0.6209, IoU.grass: 0.6089, IoU.cabinet: 0.6044, IoU.sidewalk: 0.6483, IoU.person: 0.8569, IoU.earth: 0.4040, IoU.door: 0.5341, IoU.table: 0.6021, IoU.mountain: 0.6135, IoU.plant: 0.5502, IoU.curtain: 0.7600, IoU.chair: 0.5823, IoU.car: 0.8709, IoU.water: 0.5513, IoU.painting: 0.7134, IoU.sofa: 0.7185, IoU.shelf: 0.4450, IoU.house: 0.2110, IoU.sea: 0.5823, IoU.mirror: 0.7137, IoU.rug: 0.3986, IoU.field: 0.2581, IoU.armchair: 0.4250, IoU.seat: 0.6846, IoU.fence: 0.4573, IoU.desk: 0.3959, IoU.rock: 0.4902, IoU.wardrobe: 0.4559, IoU.lamp: 0.6875, IoU.bathtub: 0.7341, IoU.railing: 0.3431, IoU.cushion: 0.6774, IoU.base: 0.1800, IoU.box: 0.2753, IoU.column: 0.5036, IoU.signboard: 0.3798, IoU.chest of drawers: 0.3837, IoU.counter: 0.2688, IoU.sand: 0.3142, IoU.sink: 0.7590, IoU.skyscraper: 0.3451, IoU.fireplace: 0.7354, IoU.refrigerator: 0.7816, IoU.grandstand: 0.5253, IoU.path: 0.1619, IoU.stairs: 0.1798, IoU.runway: 0.7335, IoU.case: 0.5894, IoU.pool table: 0.8789, IoU.pillow: 0.6268, IoU.screen door: 0.7350, IoU.stairway: 0.2394, IoU.river: 0.2357, IoU.bridge: 0.7571, IoU.bookcase: 0.3251, IoU.blind: 0.3241, IoU.coffee table: 0.6224, IoU.toilet: 0.7957, IoU.flower: 0.3802, IoU.book: 0.4549, IoU.hill: 0.0416, IoU.bench: 0.5843, IoU.countertop: 0.5786, IoU.stove: 0.7239, IoU.palm: 0.5472, IoU.kitchen island: 0.3074, IoU.computer: 0.7704, IoU.swivel chair: 0.5210, IoU.boat: 0.7179, IoU.bar: 0.1495, IoU.arcade machine: 0.3469, IoU.hovel: 0.0691, IoU.bus: 0.9318, IoU.towel: 0.7414, IoU.light: 0.6072, IoU.truck: 0.4150, IoU.tower: 0.2938, IoU.chandelier: 0.6998, IoU.awning: 0.3391, IoU.streetlight: 0.3618, IoU.booth: 0.0892, IoU.television receiver: 0.7757, IoU.airplane: 0.6480, IoU.dirt track: 0.0000, IoU.apparel: 0.4128, IoU.pole: 0.3377, IoU.land: 0.0009, IoU.bannister: 0.0916, IoU.escalator: 0.0000, IoU.ottoman: 0.5014, IoU.bottle: 0.3015, IoU.buffet: 0.0000, IoU.poster: 0.3141, IoU.stage: 0.0993, IoU.van: 0.4272, IoU.ship: 0.0000, IoU.fountain: 0.0566, IoU.conveyer belt: 0.2499, IoU.canopy: 0.0146, IoU.washer: 0.6918, IoU.plaything: 0.4011, IoU.swimming pool: 0.3624, IoU.stool: 0.5013, IoU.barrel: 0.5965, IoU.basket: 0.3492, IoU.waterfall: 0.4183, IoU.tent: 0.9564, IoU.bag: 0.2434, IoU.minibike: 0.7440, IoU.cradle: 0.8776, IoU.oven: 0.1096, IoU.ball: 0.5270, IoU.food: 0.6292, IoU.step: 0.2884, IoU.tank: 0.2265, IoU.trade name: 0.3482, IoU.microwave: 0.4148, IoU.pot: 0.6089, IoU.animal: 0.7114, IoU.bicycle: 0.5702, IoU.lake: 0.0000, IoU.dishwasher: 0.7653, IoU.screen: 0.5140, IoU.blanket: 0.3243, IoU.sculpture: 0.3518, IoU.hood: 0.6385, IoU.sconce: 0.4471, IoU.vase: 0.5009, IoU.traffic light: 0.3871, IoU.tray: 0.1467, IoU.ashcan: 0.4041, IoU.fan: 0.6794, IoU.pier: 0.0000, IoU.crt screen: 0.0452, IoU.plate: 0.6205, IoU.monitor: 0.0029, IoU.bulletin board: 0.1874, IoU.shower: 0.0967, IoU.radiator: 0.6596, IoU.glass: 0.2549, IoU.clock: 0.3202, IoU.flag: 0.7238, Acc.wall: 0.8729, Acc.building: 0.9289, Acc.sky: 0.9719, Acc.floor: 0.9032, Acc.tree: 0.8745, Acc.ceiling: 0.9356, Acc.road: 0.8569, Acc.bed : 0.9575, Acc.windowpane: 0.8244, Acc.grass: 0.6914, Acc.cabinet: 0.7423, Acc.sidewalk: 0.8669, Acc.person: 0.9311, Acc.earth: 0.5745, Acc.door: 0.7258, Acc.table: 0.7277, Acc.mountain: 0.8130, Acc.plant: 0.6683, Acc.curtain: 0.8670, Acc.chair: 0.7018, Acc.car: 0.9387, Acc.water: 0.7444, Acc.painting: 0.8847, Acc.sofa: 0.8882, Acc.shelf: 0.5932, Acc.house: 0.2414, Acc.sea: 0.7693, Acc.mirror: 0.8663, Acc.rug: 0.4770, Acc.field: 0.6432, Acc.armchair: 0.6503, Acc.seat: 0.8220, Acc.fence: 0.5816, Acc.desk: 0.6415, Acc.rock: 0.7016, Acc.wardrobe: 0.7585, Acc.lamp: 0.8547, Acc.bathtub: 0.8338, Acc.railing: 0.6718, Acc.cushion: 0.8168, Acc.base: 0.2774, Acc.box: 0.3635, Acc.column: 0.7609, Acc.signboard: 0.5847, Acc.chest of drawers: 0.5425, Acc.counter: 0.4124, Acc.sand: 0.4350, Acc.sink: 0.8295, Acc.skyscraper: 0.3993, Acc.fireplace: 0.9014, Acc.refrigerator: 0.9065, Acc.grandstand: 0.6372, Acc.path: 0.2018, Acc.stairs: 0.2120, Acc.runway: 0.9133, Acc.case: 0.7639, Acc.pool table: 0.9724, Acc.pillow: 0.8328, Acc.screen door: 0.8088, Acc.stairway: 0.6095, Acc.river: 0.3550, Acc.bridge: 0.8868, Acc.bookcase: 0.6213, Acc.blind: 0.3613, Acc.coffee table: 0.8744, Acc.toilet: 0.9106, Acc.flower: 0.5983, Acc.book: 0.7169, Acc.hill: 0.0533, Acc.bench: 0.7563, Acc.countertop: 0.7687, Acc.stove: 0.8619, Acc.palm: 0.7990, Acc.kitchen island: 0.8253, Acc.computer: 0.8612, Acc.swivel chair: 0.7515, Acc.boat: 0.9496, Acc.bar: 0.1523, Acc.arcade machine: 0.3747, Acc.hovel: 0.0719, Acc.bus: 0.9683, Acc.towel: 0.8890, Acc.light: 0.7191, Acc.truck: 0.5575, Acc.tower: 0.4987, Acc.chandelier: 0.8364, Acc.awning: 0.6029, Acc.streetlight: 0.5407, Acc.booth: 0.0892, Acc.television receiver: 0.8318, Acc.airplane: 0.7136, Acc.dirt track: 0.0000, Acc.apparel: 0.7050, Acc.pole: 0.5292, Acc.land: 0.0009, Acc.bannister: 0.1299, Acc.escalator: 0.0000, Acc.ottoman: 0.7089, Acc.bottle: 0.4238, Acc.buffet: 0.0000, Acc.poster: 0.4990, Acc.stage: 0.1868, Acc.van: 0.6929, Acc.ship: 0.0000, Acc.fountain: 0.0704, Acc.conveyer belt: 0.3042, Acc.canopy: 0.0191, Acc.washer: 0.7395, Acc.plaything: 0.6902, Acc.swimming pool: 0.4535, Acc.stool: 0.6804, Acc.barrel: 0.6362, Acc.basket: 0.5659, Acc.waterfall: 0.5856, Acc.tent: 0.9815, Acc.bag: 0.4435, Acc.minibike: 0.8800, Acc.cradle: 0.9440, Acc.oven: 0.3185, Acc.ball: 0.7500, Acc.food: 0.7298, Acc.step: 0.4369, Acc.tank: 0.2266, Acc.trade name: 0.5016, Acc.microwave: 0.4579, Acc.pot: 0.7575, Acc.animal: 0.7345, Acc.bicycle: 0.8757, Acc.lake: 0.0000, Acc.dishwasher: 0.9199, Acc.screen: 0.9263, Acc.blanket: 0.4310, Acc.sculpture: 0.9067, Acc.hood: 0.9104, Acc.sconce: 0.5339, Acc.vase: 0.7275, Acc.traffic light: 0.7403, Acc.tray: 0.2293, Acc.ashcan: 0.7392, Acc.fan: 0.8148, Acc.pier: 0.0000, Acc.crt screen: 0.1225, Acc.plate: 0.8080, Acc.monitor: 0.0034, Acc.bulletin board: 0.2088, Acc.shower: 0.1192, Acc.radiator: 0.8006, Acc.glass: 0.2974, Acc.clock: 0.4438, Acc.flag: 0.8398 2023-11-21 23:54:11,550 - mmseg - INFO - Iter [16050/160000] lr: 8.569e-06, eta: 23:43:41, time: 1.112, data_time: 0.551, memory: 38143, decode.loss_cls: 0.6611, decode.loss_mask: 0.7131, decode.loss_dice: 1.0185, decode.d0.loss_cls: 2.0101, decode.d0.loss_mask: 0.7514, decode.d0.loss_dice: 1.2147, decode.d1.loss_cls: 0.8197, decode.d1.loss_mask: 0.7402, decode.d1.loss_dice: 1.0993, decode.d2.loss_cls: 0.7242, decode.d2.loss_mask: 0.7242, decode.d2.loss_dice: 1.0517, decode.d3.loss_cls: 0.6957, decode.d3.loss_mask: 0.7143, decode.d3.loss_dice: 1.0299, decode.d4.loss_cls: 0.6895, decode.d4.loss_mask: 0.7138, decode.d4.loss_dice: 1.0267, decode.d5.loss_cls: 0.6652, decode.d5.loss_mask: 0.7119, decode.d5.loss_dice: 1.0279, decode.d6.loss_cls: 0.6716, decode.d6.loss_mask: 0.7070, decode.d6.loss_dice: 1.0122, decode.d7.loss_cls: 0.6626, decode.d7.loss_mask: 0.7069, decode.d7.loss_dice: 1.0132, decode.d8.loss_cls: 0.6683, decode.d8.loss_mask: 0.7157, decode.d8.loss_dice: 1.0187, loss: 25.9793, grad_norm: 74.5968 2023-11-21 23:54:39,796 - mmseg - INFO - Iter [16100/160000] lr: 8.566e-06, eta: 23:42:59, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6525, decode.loss_mask: 0.7336, decode.loss_dice: 1.0352, decode.d0.loss_cls: 1.9440, decode.d0.loss_mask: 0.7686, decode.d0.loss_dice: 1.2252, decode.d1.loss_cls: 0.8062, decode.d1.loss_mask: 0.7602, decode.d1.loss_dice: 1.1134, decode.d2.loss_cls: 0.7186, decode.d2.loss_mask: 0.7404, decode.d2.loss_dice: 1.0641, decode.d3.loss_cls: 0.6896, decode.d3.loss_mask: 0.7296, decode.d3.loss_dice: 1.0454, decode.d4.loss_cls: 0.6762, decode.d4.loss_mask: 0.7299, decode.d4.loss_dice: 1.0500, decode.d5.loss_cls: 0.6577, decode.d5.loss_mask: 0.7356, decode.d5.loss_dice: 1.0503, decode.d6.loss_cls: 0.6614, decode.d6.loss_mask: 0.7295, decode.d6.loss_dice: 1.0416, decode.d7.loss_cls: 0.6618, decode.d7.loss_mask: 0.7339, decode.d7.loss_dice: 1.0313, decode.d8.loss_cls: 0.6579, decode.d8.loss_mask: 0.7326, decode.d8.loss_dice: 1.0407, loss: 26.2166, grad_norm: 73.1363 2023-11-21 23:55:08,238 - mmseg - INFO - Iter [16150/160000] lr: 8.564e-06, eta: 23:42:18, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6919, decode.loss_mask: 0.7057, decode.loss_dice: 1.0321, decode.d0.loss_cls: 1.9879, decode.d0.loss_mask: 0.7503, decode.d0.loss_dice: 1.2378, decode.d1.loss_cls: 0.8359, decode.d1.loss_mask: 0.7391, decode.d1.loss_dice: 1.1268, decode.d2.loss_cls: 0.7433, decode.d2.loss_mask: 0.7168, decode.d2.loss_dice: 1.0680, decode.d3.loss_cls: 0.7229, decode.d3.loss_mask: 0.7100, decode.d3.loss_dice: 1.0395, decode.d4.loss_cls: 0.7122, decode.d4.loss_mask: 0.7086, decode.d4.loss_dice: 1.0432, decode.d5.loss_cls: 0.7026, decode.d5.loss_mask: 0.7108, decode.d5.loss_dice: 1.0430, decode.d6.loss_cls: 0.6935, decode.d6.loss_mask: 0.7048, decode.d6.loss_dice: 1.0353, decode.d7.loss_cls: 0.6907, decode.d7.loss_mask: 0.7048, decode.d7.loss_dice: 1.0392, decode.d8.loss_cls: 0.6917, decode.d8.loss_mask: 0.7089, decode.d8.loss_dice: 1.0349, loss: 26.3322, grad_norm: 75.2966 2023-11-21 23:55:36,866 - mmseg - INFO - Iter [16200/160000] lr: 8.561e-06, eta: 23:41:39, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6580, decode.loss_mask: 0.7284, decode.loss_dice: 1.0150, decode.d0.loss_cls: 1.9944, decode.d0.loss_mask: 0.7580, decode.d0.loss_dice: 1.2209, decode.d1.loss_cls: 0.8073, decode.d1.loss_mask: 0.7544, decode.d1.loss_dice: 1.0940, decode.d2.loss_cls: 0.7114, decode.d2.loss_mask: 0.7330, decode.d2.loss_dice: 1.0538, decode.d3.loss_cls: 0.6931, decode.d3.loss_mask: 0.7301, decode.d3.loss_dice: 1.0194, decode.d4.loss_cls: 0.6782, decode.d4.loss_mask: 0.7280, decode.d4.loss_dice: 1.0207, decode.d5.loss_cls: 0.6711, decode.d5.loss_mask: 0.7323, decode.d5.loss_dice: 1.0285, decode.d6.loss_cls: 0.6629, decode.d6.loss_mask: 0.7314, decode.d6.loss_dice: 1.0193, decode.d7.loss_cls: 0.6593, decode.d7.loss_mask: 0.7292, decode.d7.loss_dice: 1.0145, decode.d8.loss_cls: 0.6580, decode.d8.loss_mask: 0.7241, decode.d8.loss_dice: 1.0140, loss: 26.0424, grad_norm: 76.4676 2023-11-21 23:56:05,223 - mmseg - INFO - Iter [16250/160000] lr: 8.558e-06, eta: 23:40:58, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6927, decode.loss_mask: 0.7027, decode.loss_dice: 1.0366, decode.d0.loss_cls: 2.0643, decode.d0.loss_mask: 0.7430, decode.d0.loss_dice: 1.2524, decode.d1.loss_cls: 0.8562, decode.d1.loss_mask: 0.7357, decode.d1.loss_dice: 1.1125, decode.d2.loss_cls: 0.7596, decode.d2.loss_mask: 0.7156, decode.d2.loss_dice: 1.0579, decode.d3.loss_cls: 0.7242, decode.d3.loss_mask: 0.6977, decode.d3.loss_dice: 1.0425, decode.d4.loss_cls: 0.7105, decode.d4.loss_mask: 0.7064, decode.d4.loss_dice: 1.0454, decode.d5.loss_cls: 0.7089, decode.d5.loss_mask: 0.7048, decode.d5.loss_dice: 1.0382, decode.d6.loss_cls: 0.7008, decode.d6.loss_mask: 0.7027, decode.d6.loss_dice: 1.0342, decode.d7.loss_cls: 0.6963, decode.d7.loss_mask: 0.7070, decode.d7.loss_dice: 1.0338, decode.d8.loss_cls: 0.6991, decode.d8.loss_mask: 0.7053, decode.d8.loss_dice: 1.0320, loss: 26.4189, grad_norm: 76.7812 2023-11-21 23:56:33,674 - mmseg - INFO - Iter [16300/160000] lr: 8.555e-06, eta: 23:40:18, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6988, decode.loss_mask: 0.7034, decode.loss_dice: 1.0582, decode.d0.loss_cls: 2.0442, decode.d0.loss_mask: 0.7463, decode.d0.loss_dice: 1.2693, decode.d1.loss_cls: 0.8530, decode.d1.loss_mask: 0.7325, decode.d1.loss_dice: 1.1402, decode.d2.loss_cls: 0.7553, decode.d2.loss_mask: 0.7100, decode.d2.loss_dice: 1.0938, decode.d3.loss_cls: 0.7182, decode.d3.loss_mask: 0.7048, decode.d3.loss_dice: 1.0735, decode.d4.loss_cls: 0.7185, decode.d4.loss_mask: 0.7034, decode.d4.loss_dice: 1.0688, decode.d5.loss_cls: 0.7058, decode.d5.loss_mask: 0.7040, decode.d5.loss_dice: 1.0611, decode.d6.loss_cls: 0.7021, decode.d6.loss_mask: 0.7029, decode.d6.loss_dice: 1.0493, decode.d7.loss_cls: 0.6974, decode.d7.loss_mask: 0.7072, decode.d7.loss_dice: 1.0542, decode.d8.loss_cls: 0.6981, decode.d8.loss_mask: 0.6984, decode.d8.loss_dice: 1.0603, loss: 26.6328, grad_norm: 72.7257 2023-11-21 23:57:02,171 - mmseg - INFO - Iter [16350/160000] lr: 8.552e-06, eta: 23:39:38, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6800, decode.loss_mask: 0.6969, decode.loss_dice: 1.0691, decode.d0.loss_cls: 2.0385, decode.d0.loss_mask: 0.7337, decode.d0.loss_dice: 1.2663, decode.d1.loss_cls: 0.8383, decode.d1.loss_mask: 0.7208, decode.d1.loss_dice: 1.1324, decode.d2.loss_cls: 0.7340, decode.d2.loss_mask: 0.7082, decode.d2.loss_dice: 1.0865, decode.d3.loss_cls: 0.7010, decode.d3.loss_mask: 0.7026, decode.d3.loss_dice: 1.0713, decode.d4.loss_cls: 0.6910, decode.d4.loss_mask: 0.7011, decode.d4.loss_dice: 1.0726, decode.d5.loss_cls: 0.6817, decode.d5.loss_mask: 0.7023, decode.d5.loss_dice: 1.0731, decode.d6.loss_cls: 0.6845, decode.d6.loss_mask: 0.6987, decode.d6.loss_dice: 1.0603, decode.d7.loss_cls: 0.6744, decode.d7.loss_mask: 0.7031, decode.d7.loss_dice: 1.0667, decode.d8.loss_cls: 0.6806, decode.d8.loss_mask: 0.6986, decode.d8.loss_dice: 1.0721, loss: 26.4403, grad_norm: 78.2814 2023-11-21 23:57:30,595 - mmseg - INFO - Iter [16400/160000] lr: 8.549e-06, eta: 23:38:57, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6532, decode.loss_mask: 0.6845, decode.loss_dice: 1.0156, decode.d0.loss_cls: 2.0026, decode.d0.loss_mask: 0.7224, decode.d0.loss_dice: 1.2177, decode.d1.loss_cls: 0.7896, decode.d1.loss_mask: 0.7182, decode.d1.loss_dice: 1.0929, decode.d2.loss_cls: 0.6938, decode.d2.loss_mask: 0.7032, decode.d2.loss_dice: 1.0535, decode.d3.loss_cls: 0.6597, decode.d3.loss_mask: 0.6943, decode.d3.loss_dice: 1.0299, decode.d4.loss_cls: 0.6583, decode.d4.loss_mask: 0.6909, decode.d4.loss_dice: 1.0302, decode.d5.loss_cls: 0.6553, decode.d5.loss_mask: 0.6944, decode.d5.loss_dice: 1.0248, decode.d6.loss_cls: 0.6517, decode.d6.loss_mask: 0.6852, decode.d6.loss_dice: 1.0152, decode.d7.loss_cls: 0.6487, decode.d7.loss_mask: 0.6893, decode.d7.loss_dice: 1.0172, decode.d8.loss_cls: 0.6538, decode.d8.loss_mask: 0.6867, decode.d8.loss_dice: 1.0180, loss: 25.5507, grad_norm: 75.4189 2023-11-21 23:58:01,509 - mmseg - INFO - Iter [16450/160000] lr: 8.546e-06, eta: 23:38:38, time: 0.618, data_time: 0.060, memory: 38143, decode.loss_cls: 0.6810, decode.loss_mask: 0.6988, decode.loss_dice: 1.0420, decode.d0.loss_cls: 2.0364, decode.d0.loss_mask: 0.7350, decode.d0.loss_dice: 1.2477, decode.d1.loss_cls: 0.8445, decode.d1.loss_mask: 0.7202, decode.d1.loss_dice: 1.1228, decode.d2.loss_cls: 0.7385, decode.d2.loss_mask: 0.7117, decode.d2.loss_dice: 1.0731, decode.d3.loss_cls: 0.7101, decode.d3.loss_mask: 0.6995, decode.d3.loss_dice: 1.0481, decode.d4.loss_cls: 0.6967, decode.d4.loss_mask: 0.7043, decode.d4.loss_dice: 1.0547, decode.d5.loss_cls: 0.6942, decode.d5.loss_mask: 0.7003, decode.d5.loss_dice: 1.0562, decode.d6.loss_cls: 0.6891, decode.d6.loss_mask: 0.7011, decode.d6.loss_dice: 1.0431, decode.d7.loss_cls: 0.6829, decode.d7.loss_mask: 0.6992, decode.d7.loss_dice: 1.0429, decode.d8.loss_cls: 0.6849, decode.d8.loss_mask: 0.7011, decode.d8.loss_dice: 1.0429, loss: 26.3030, grad_norm: 75.9340 2023-11-21 23:58:30,071 - mmseg - INFO - Iter [16500/160000] lr: 8.543e-06, eta: 23:38:00, time: 0.574, data_time: 0.016, memory: 38143, decode.loss_cls: 0.6547, decode.loss_mask: 0.7215, decode.loss_dice: 1.0480, decode.d0.loss_cls: 2.0129, decode.d0.loss_mask: 0.7644, decode.d0.loss_dice: 1.2464, decode.d1.loss_cls: 0.8171, decode.d1.loss_mask: 0.7511, decode.d1.loss_dice: 1.1265, decode.d2.loss_cls: 0.7208, decode.d2.loss_mask: 0.7369, decode.d2.loss_dice: 1.0835, decode.d3.loss_cls: 0.6862, decode.d3.loss_mask: 0.7227, decode.d3.loss_dice: 1.0575, decode.d4.loss_cls: 0.6847, decode.d4.loss_mask: 0.7210, decode.d4.loss_dice: 1.0554, decode.d5.loss_cls: 0.6768, decode.d5.loss_mask: 0.7207, decode.d5.loss_dice: 1.0489, decode.d6.loss_cls: 0.6711, decode.d6.loss_mask: 0.7216, decode.d6.loss_dice: 1.0428, decode.d7.loss_cls: 0.6566, decode.d7.loss_mask: 0.7221, decode.d7.loss_dice: 1.0491, decode.d8.loss_cls: 0.6549, decode.d8.loss_mask: 0.7227, decode.d8.loss_dice: 1.0553, loss: 26.3537, grad_norm: 77.5001 2023-11-21 23:58:58,193 - mmseg - INFO - Iter [16550/160000] lr: 8.540e-06, eta: 23:37:17, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6243, decode.loss_mask: 0.7134, decode.loss_dice: 0.9951, decode.d0.loss_cls: 1.9362, decode.d0.loss_mask: 0.7490, decode.d0.loss_dice: 1.1848, decode.d1.loss_cls: 0.7771, decode.d1.loss_mask: 0.7410, decode.d1.loss_dice: 1.0735, decode.d2.loss_cls: 0.6961, decode.d2.loss_mask: 0.7276, decode.d2.loss_dice: 1.0318, decode.d3.loss_cls: 0.6545, decode.d3.loss_mask: 0.7185, decode.d3.loss_dice: 1.0149, decode.d4.loss_cls: 0.6457, decode.d4.loss_mask: 0.7150, decode.d4.loss_dice: 1.0040, decode.d5.loss_cls: 0.6443, decode.d5.loss_mask: 0.7183, decode.d5.loss_dice: 1.0019, decode.d6.loss_cls: 0.6319, decode.d6.loss_mask: 0.7137, decode.d6.loss_dice: 0.9925, decode.d7.loss_cls: 0.6255, decode.d7.loss_mask: 0.7187, decode.d7.loss_dice: 0.9974, decode.d8.loss_cls: 0.6256, decode.d8.loss_mask: 0.7183, decode.d8.loss_dice: 0.9922, loss: 25.3829, grad_norm: 77.6676 2023-11-21 23:59:26,797 - mmseg - INFO - Iter [16600/160000] lr: 8.537e-06, eta: 23:36:39, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6511, decode.loss_mask: 0.7350, decode.loss_dice: 1.0450, decode.d0.loss_cls: 1.9941, decode.d0.loss_mask: 0.7773, decode.d0.loss_dice: 1.2363, decode.d1.loss_cls: 0.7981, decode.d1.loss_mask: 0.7702, decode.d1.loss_dice: 1.1261, decode.d2.loss_cls: 0.6998, decode.d2.loss_mask: 0.7511, decode.d2.loss_dice: 1.0831, decode.d3.loss_cls: 0.6719, decode.d3.loss_mask: 0.7428, decode.d3.loss_dice: 1.0541, decode.d4.loss_cls: 0.6580, decode.d4.loss_mask: 0.7422, decode.d4.loss_dice: 1.0516, decode.d5.loss_cls: 0.6584, decode.d5.loss_mask: 0.7442, decode.d5.loss_dice: 1.0583, decode.d6.loss_cls: 0.6511, decode.d6.loss_mask: 0.7388, decode.d6.loss_dice: 1.0541, decode.d7.loss_cls: 0.6501, decode.d7.loss_mask: 0.7360, decode.d7.loss_dice: 1.0532, decode.d8.loss_cls: 0.6553, decode.d8.loss_mask: 0.7350, decode.d8.loss_dice: 1.0429, loss: 26.3654, grad_norm: 79.8756 2023-11-21 23:59:55,004 - mmseg - INFO - Iter [16650/160000] lr: 8.534e-06, eta: 23:35:57, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6492, decode.loss_mask: 0.7203, decode.loss_dice: 1.0504, decode.d0.loss_cls: 1.9876, decode.d0.loss_mask: 0.7556, decode.d0.loss_dice: 1.2448, decode.d1.loss_cls: 0.7819, decode.d1.loss_mask: 0.7499, decode.d1.loss_dice: 1.1240, decode.d2.loss_cls: 0.6900, decode.d2.loss_mask: 0.7309, decode.d2.loss_dice: 1.0715, decode.d3.loss_cls: 0.6680, decode.d3.loss_mask: 0.7209, decode.d3.loss_dice: 1.0485, decode.d4.loss_cls: 0.6569, decode.d4.loss_mask: 0.7218, decode.d4.loss_dice: 1.0518, decode.d5.loss_cls: 0.6582, decode.d5.loss_mask: 0.7209, decode.d5.loss_dice: 1.0491, decode.d6.loss_cls: 0.6532, decode.d6.loss_mask: 0.7178, decode.d6.loss_dice: 1.0370, decode.d7.loss_cls: 0.6486, decode.d7.loss_mask: 0.7199, decode.d7.loss_dice: 1.0433, decode.d8.loss_cls: 0.6509, decode.d8.loss_mask: 0.7232, decode.d8.loss_dice: 1.0424, loss: 26.0884, grad_norm: 76.8488 2023-11-22 00:00:23,692 - mmseg - INFO - Iter [16700/160000] lr: 8.531e-06, eta: 23:35:19, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6493, decode.loss_mask: 0.7097, decode.loss_dice: 1.0129, decode.d0.loss_cls: 1.9866, decode.d0.loss_mask: 0.7441, decode.d0.loss_dice: 1.2072, decode.d1.loss_cls: 0.7985, decode.d1.loss_mask: 0.7396, decode.d1.loss_dice: 1.0935, decode.d2.loss_cls: 0.6923, decode.d2.loss_mask: 0.7227, decode.d2.loss_dice: 1.0411, decode.d3.loss_cls: 0.6730, decode.d3.loss_mask: 0.7179, decode.d3.loss_dice: 1.0265, decode.d4.loss_cls: 0.6570, decode.d4.loss_mask: 0.7170, decode.d4.loss_dice: 1.0261, decode.d5.loss_cls: 0.6504, decode.d5.loss_mask: 0.7213, decode.d5.loss_dice: 1.0205, decode.d6.loss_cls: 0.6509, decode.d6.loss_mask: 0.7174, decode.d6.loss_dice: 1.0137, decode.d7.loss_cls: 0.6436, decode.d7.loss_mask: 0.7164, decode.d7.loss_dice: 1.0163, decode.d8.loss_cls: 0.6422, decode.d8.loss_mask: 0.7118, decode.d8.loss_dice: 1.0160, loss: 25.7353, grad_norm: 76.4950 2023-11-22 00:00:52,157 - mmseg - INFO - Iter [16750/160000] lr: 8.528e-06, eta: 23:34:39, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6479, decode.loss_mask: 0.7240, decode.loss_dice: 1.0394, decode.d0.loss_cls: 1.9855, decode.d0.loss_mask: 0.7639, decode.d0.loss_dice: 1.2476, decode.d1.loss_cls: 0.7910, decode.d1.loss_mask: 0.7517, decode.d1.loss_dice: 1.1218, decode.d2.loss_cls: 0.7030, decode.d2.loss_mask: 0.7355, decode.d2.loss_dice: 1.0722, decode.d3.loss_cls: 0.6748, decode.d3.loss_mask: 0.7225, decode.d3.loss_dice: 1.0497, decode.d4.loss_cls: 0.6692, decode.d4.loss_mask: 0.7255, decode.d4.loss_dice: 1.0503, decode.d5.loss_cls: 0.6552, decode.d5.loss_mask: 0.7253, decode.d5.loss_dice: 1.0484, decode.d6.loss_cls: 0.6542, decode.d6.loss_mask: 0.7248, decode.d6.loss_dice: 1.0437, decode.d7.loss_cls: 0.6542, decode.d7.loss_mask: 0.7226, decode.d7.loss_dice: 1.0386, decode.d8.loss_cls: 0.6477, decode.d8.loss_mask: 0.7238, decode.d8.loss_dice: 1.0398, loss: 26.1539, grad_norm: 74.0583 2023-11-22 00:01:20,647 - mmseg - INFO - Iter [16800/160000] lr: 8.525e-06, eta: 23:34:00, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6420, decode.loss_mask: 0.6820, decode.loss_dice: 1.0316, decode.d0.loss_cls: 1.9940, decode.d0.loss_mask: 0.7166, decode.d0.loss_dice: 1.2183, decode.d1.loss_cls: 0.7946, decode.d1.loss_mask: 0.7139, decode.d1.loss_dice: 1.1125, decode.d2.loss_cls: 0.6934, decode.d2.loss_mask: 0.6960, decode.d2.loss_dice: 1.0652, decode.d3.loss_cls: 0.6604, decode.d3.loss_mask: 0.6928, decode.d3.loss_dice: 1.0457, decode.d4.loss_cls: 0.6544, decode.d4.loss_mask: 0.6905, decode.d4.loss_dice: 1.0545, decode.d5.loss_cls: 0.6445, decode.d5.loss_mask: 0.6913, decode.d5.loss_dice: 1.0404, decode.d6.loss_cls: 0.6424, decode.d6.loss_mask: 0.6858, decode.d6.loss_dice: 1.0359, decode.d7.loss_cls: 0.6428, decode.d7.loss_mask: 0.6822, decode.d7.loss_dice: 1.0260, decode.d8.loss_cls: 0.6434, decode.d8.loss_mask: 0.6845, decode.d8.loss_dice: 1.0357, loss: 25.6133, grad_norm: 75.4014 2023-11-22 00:01:48,807 - mmseg - INFO - Iter [16850/160000] lr: 8.522e-06, eta: 23:33:18, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6265, decode.loss_mask: 0.7061, decode.loss_dice: 0.9927, decode.d0.loss_cls: 1.9413, decode.d0.loss_mask: 0.7404, decode.d0.loss_dice: 1.1932, decode.d1.loss_cls: 0.7828, decode.d1.loss_mask: 0.7343, decode.d1.loss_dice: 1.0760, decode.d2.loss_cls: 0.6843, decode.d2.loss_mask: 0.7171, decode.d2.loss_dice: 1.0380, decode.d3.loss_cls: 0.6513, decode.d3.loss_mask: 0.7076, decode.d3.loss_dice: 1.0090, decode.d4.loss_cls: 0.6407, decode.d4.loss_mask: 0.7117, decode.d4.loss_dice: 1.0092, decode.d5.loss_cls: 0.6392, decode.d5.loss_mask: 0.7101, decode.d5.loss_dice: 1.0038, decode.d6.loss_cls: 0.6368, decode.d6.loss_mask: 0.7056, decode.d6.loss_dice: 0.9959, decode.d7.loss_cls: 0.6336, decode.d7.loss_mask: 0.7075, decode.d7.loss_dice: 0.9982, decode.d8.loss_cls: 0.6315, decode.d8.loss_mask: 0.7065, decode.d8.loss_dice: 1.0076, loss: 25.3384, grad_norm: 79.9573 2023-11-22 00:02:16,981 - mmseg - INFO - Iter [16900/160000] lr: 8.519e-06, eta: 23:32:36, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6112, decode.loss_mask: 0.6955, decode.loss_dice: 1.0053, decode.d0.loss_cls: 1.9400, decode.d0.loss_mask: 0.7349, decode.d0.loss_dice: 1.1873, decode.d1.loss_cls: 0.7626, decode.d1.loss_mask: 0.7198, decode.d1.loss_dice: 1.0759, decode.d2.loss_cls: 0.6765, decode.d2.loss_mask: 0.7003, decode.d2.loss_dice: 1.0311, decode.d3.loss_cls: 0.6483, decode.d3.loss_mask: 0.6906, decode.d3.loss_dice: 1.0071, decode.d4.loss_cls: 0.6349, decode.d4.loss_mask: 0.6908, decode.d4.loss_dice: 1.0094, decode.d5.loss_cls: 0.6263, decode.d5.loss_mask: 0.6932, decode.d5.loss_dice: 1.0081, decode.d6.loss_cls: 0.6185, decode.d6.loss_mask: 0.6965, decode.d6.loss_dice: 0.9895, decode.d7.loss_cls: 0.6170, decode.d7.loss_mask: 0.6964, decode.d7.loss_dice: 0.9950, decode.d8.loss_cls: 0.6118, decode.d8.loss_mask: 0.6965, decode.d8.loss_dice: 1.0006, loss: 25.0707, grad_norm: 75.0741 2023-11-22 00:02:45,465 - mmseg - INFO - Iter [16950/160000] lr: 8.516e-06, eta: 23:31:57, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6649, decode.loss_mask: 0.7118, decode.loss_dice: 1.0451, decode.d0.loss_cls: 1.9656, decode.d0.loss_mask: 0.7569, decode.d0.loss_dice: 1.2438, decode.d1.loss_cls: 0.8132, decode.d1.loss_mask: 0.7457, decode.d1.loss_dice: 1.1299, decode.d2.loss_cls: 0.7152, decode.d2.loss_mask: 0.7301, decode.d2.loss_dice: 1.0935, decode.d3.loss_cls: 0.6919, decode.d3.loss_mask: 0.7138, decode.d3.loss_dice: 1.0572, decode.d4.loss_cls: 0.6848, decode.d4.loss_mask: 0.7183, decode.d4.loss_dice: 1.0578, decode.d5.loss_cls: 0.6740, decode.d5.loss_mask: 0.7133, decode.d5.loss_dice: 1.0520, decode.d6.loss_cls: 0.6734, decode.d6.loss_mask: 0.7151, decode.d6.loss_dice: 1.0475, decode.d7.loss_cls: 0.6706, decode.d7.loss_mask: 0.7132, decode.d7.loss_dice: 1.0505, decode.d8.loss_cls: 0.6643, decode.d8.loss_mask: 0.7137, decode.d8.loss_dice: 1.0491, loss: 26.2763, grad_norm: 77.2171 2023-11-22 00:03:13,924 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 00:03:13,924 - mmseg - INFO - Iter [17000/160000] lr: 8.513e-06, eta: 23:31:18, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6509, decode.loss_mask: 0.7222, decode.loss_dice: 1.0227, decode.d0.loss_cls: 1.9761, decode.d0.loss_mask: 0.7649, decode.d0.loss_dice: 1.2326, decode.d1.loss_cls: 0.8177, decode.d1.loss_mask: 0.7525, decode.d1.loss_dice: 1.0993, decode.d2.loss_cls: 0.7089, decode.d2.loss_mask: 0.7383, decode.d2.loss_dice: 1.0518, decode.d3.loss_cls: 0.6687, decode.d3.loss_mask: 0.7326, decode.d3.loss_dice: 1.0388, decode.d4.loss_cls: 0.6734, decode.d4.loss_mask: 0.7266, decode.d4.loss_dice: 1.0313, decode.d5.loss_cls: 0.6677, decode.d5.loss_mask: 0.7252, decode.d5.loss_dice: 1.0250, decode.d6.loss_cls: 0.6536, decode.d6.loss_mask: 0.7226, decode.d6.loss_dice: 1.0228, decode.d7.loss_cls: 0.6540, decode.d7.loss_mask: 0.7238, decode.d7.loss_dice: 1.0179, decode.d8.loss_cls: 0.6599, decode.d8.loss_mask: 0.7203, decode.d8.loss_dice: 1.0212, loss: 26.0234, grad_norm: 82.6485 2023-11-22 00:03:42,700 - mmseg - INFO - Iter [17050/160000] lr: 8.510e-06, eta: 23:30:41, time: 0.576, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6759, decode.loss_mask: 0.6879, decode.loss_dice: 1.0583, decode.d0.loss_cls: 2.0253, decode.d0.loss_mask: 0.7253, decode.d0.loss_dice: 1.2758, decode.d1.loss_cls: 0.8488, decode.d1.loss_mask: 0.7122, decode.d1.loss_dice: 1.1305, decode.d2.loss_cls: 0.7423, decode.d2.loss_mask: 0.6963, decode.d2.loss_dice: 1.0846, decode.d3.loss_cls: 0.7031, decode.d3.loss_mask: 0.6879, decode.d3.loss_dice: 1.0600, decode.d4.loss_cls: 0.6911, decode.d4.loss_mask: 0.6928, decode.d4.loss_dice: 1.0593, decode.d5.loss_cls: 0.6815, decode.d5.loss_mask: 0.6886, decode.d5.loss_dice: 1.0549, decode.d6.loss_cls: 0.6795, decode.d6.loss_mask: 0.6923, decode.d6.loss_dice: 1.0524, decode.d7.loss_cls: 0.6675, decode.d7.loss_mask: 0.6920, decode.d7.loss_dice: 1.0521, decode.d8.loss_cls: 0.6720, decode.d8.loss_mask: 0.6894, decode.d8.loss_dice: 1.0561, loss: 26.2356, grad_norm: 74.2716 2023-11-22 00:04:10,990 - mmseg - INFO - Iter [17100/160000] lr: 8.507e-06, eta: 23:30:00, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6568, decode.loss_mask: 0.7562, decode.loss_dice: 1.0712, decode.d0.loss_cls: 1.9654, decode.d0.loss_mask: 0.7859, decode.d0.loss_dice: 1.2506, decode.d1.loss_cls: 0.7938, decode.d1.loss_mask: 0.7835, decode.d1.loss_dice: 1.1414, decode.d2.loss_cls: 0.7184, decode.d2.loss_mask: 0.7639, decode.d2.loss_dice: 1.0921, decode.d3.loss_cls: 0.6835, decode.d3.loss_mask: 0.7601, decode.d3.loss_dice: 1.0762, decode.d4.loss_cls: 0.6765, decode.d4.loss_mask: 0.7575, decode.d4.loss_dice: 1.0733, decode.d5.loss_cls: 0.6638, decode.d5.loss_mask: 0.7583, decode.d5.loss_dice: 1.0655, decode.d6.loss_cls: 0.6547, decode.d6.loss_mask: 0.7576, decode.d6.loss_dice: 1.0646, decode.d7.loss_cls: 0.6536, decode.d7.loss_mask: 0.7600, decode.d7.loss_dice: 1.0709, decode.d8.loss_cls: 0.6516, decode.d8.loss_mask: 0.7598, decode.d8.loss_dice: 1.0673, loss: 26.7340, grad_norm: 81.7981 2023-11-22 00:04:39,221 - mmseg - INFO - Iter [17150/160000] lr: 8.504e-06, eta: 23:29:19, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6872, decode.loss_mask: 0.7514, decode.loss_dice: 1.0438, decode.d0.loss_cls: 2.0178, decode.d0.loss_mask: 0.7877, decode.d0.loss_dice: 1.2572, decode.d1.loss_cls: 0.8397, decode.d1.loss_mask: 0.7826, decode.d1.loss_dice: 1.1297, decode.d2.loss_cls: 0.7560, decode.d2.loss_mask: 0.7648, decode.d2.loss_dice: 1.0815, decode.d3.loss_cls: 0.7254, decode.d3.loss_mask: 0.7530, decode.d3.loss_dice: 1.0515, decode.d4.loss_cls: 0.7091, decode.d4.loss_mask: 0.7507, decode.d4.loss_dice: 1.0508, decode.d5.loss_cls: 0.6934, decode.d5.loss_mask: 0.7555, decode.d5.loss_dice: 1.0484, decode.d6.loss_cls: 0.6880, decode.d6.loss_mask: 0.7509, decode.d6.loss_dice: 1.0460, decode.d7.loss_cls: 0.6768, decode.d7.loss_mask: 0.7526, decode.d7.loss_dice: 1.0527, decode.d8.loss_cls: 0.6787, decode.d8.loss_mask: 0.7538, decode.d8.loss_dice: 1.0482, loss: 26.8847, grad_norm: 83.1425 2023-11-22 00:05:07,502 - mmseg - INFO - Iter [17200/160000] lr: 8.501e-06, eta: 23:28:39, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6647, decode.loss_mask: 0.7090, decode.loss_dice: 1.0334, decode.d0.loss_cls: 2.0312, decode.d0.loss_mask: 0.7472, decode.d0.loss_dice: 1.2410, decode.d1.loss_cls: 0.8157, decode.d1.loss_mask: 0.7451, decode.d1.loss_dice: 1.1267, decode.d2.loss_cls: 0.7189, decode.d2.loss_mask: 0.7196, decode.d2.loss_dice: 1.0768, decode.d3.loss_cls: 0.6981, decode.d3.loss_mask: 0.7150, decode.d3.loss_dice: 1.0462, decode.d4.loss_cls: 0.6928, decode.d4.loss_mask: 0.7144, decode.d4.loss_dice: 1.0439, decode.d5.loss_cls: 0.6849, decode.d5.loss_mask: 0.7081, decode.d5.loss_dice: 1.0418, decode.d6.loss_cls: 0.6790, decode.d6.loss_mask: 0.7096, decode.d6.loss_dice: 1.0330, decode.d7.loss_cls: 0.6758, decode.d7.loss_mask: 0.7081, decode.d7.loss_dice: 1.0312, decode.d8.loss_cls: 0.6738, decode.d8.loss_mask: 0.7118, decode.d8.loss_dice: 1.0305, loss: 26.2271, grad_norm: 76.8478 2023-11-22 00:05:35,764 - mmseg - INFO - Iter [17250/160000] lr: 8.498e-06, eta: 23:27:58, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6833, decode.loss_mask: 0.7117, decode.loss_dice: 1.0239, decode.d0.loss_cls: 2.0432, decode.d0.loss_mask: 0.7450, decode.d0.loss_dice: 1.2389, decode.d1.loss_cls: 0.8357, decode.d1.loss_mask: 0.7406, decode.d1.loss_dice: 1.1129, decode.d2.loss_cls: 0.7366, decode.d2.loss_mask: 0.7233, decode.d2.loss_dice: 1.0609, decode.d3.loss_cls: 0.7153, decode.d3.loss_mask: 0.7102, decode.d3.loss_dice: 1.0451, decode.d4.loss_cls: 0.6953, decode.d4.loss_mask: 0.7086, decode.d4.loss_dice: 1.0393, decode.d5.loss_cls: 0.6810, decode.d5.loss_mask: 0.7055, decode.d5.loss_dice: 1.0354, decode.d6.loss_cls: 0.6895, decode.d6.loss_mask: 0.7069, decode.d6.loss_dice: 1.0207, decode.d7.loss_cls: 0.6804, decode.d7.loss_mask: 0.7050, decode.d7.loss_dice: 1.0288, decode.d8.loss_cls: 0.6770, decode.d8.loss_mask: 0.7057, decode.d8.loss_dice: 1.0334, loss: 26.2394, grad_norm: 79.1976 2023-11-22 00:06:04,132 - mmseg - INFO - Iter [17300/160000] lr: 8.495e-06, eta: 23:27:19, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6333, decode.loss_mask: 0.7204, decode.loss_dice: 1.0273, decode.d0.loss_cls: 1.9743, decode.d0.loss_mask: 0.7639, decode.d0.loss_dice: 1.2234, decode.d1.loss_cls: 0.7824, decode.d1.loss_mask: 0.7539, decode.d1.loss_dice: 1.1180, decode.d2.loss_cls: 0.6960, decode.d2.loss_mask: 0.7338, decode.d2.loss_dice: 1.0705, decode.d3.loss_cls: 0.6530, decode.d3.loss_mask: 0.7286, decode.d3.loss_dice: 1.0421, decode.d4.loss_cls: 0.6515, decode.d4.loss_mask: 0.7241, decode.d4.loss_dice: 1.0352, decode.d5.loss_cls: 0.6391, decode.d5.loss_mask: 0.7202, decode.d5.loss_dice: 1.0322, decode.d6.loss_cls: 0.6313, decode.d6.loss_mask: 0.7216, decode.d6.loss_dice: 1.0398, decode.d7.loss_cls: 0.6243, decode.d7.loss_mask: 0.7274, decode.d7.loss_dice: 1.0449, decode.d8.loss_cls: 0.6212, decode.d8.loss_mask: 0.7196, decode.d8.loss_dice: 1.0352, loss: 25.8888, grad_norm: 75.7264 2023-11-22 00:06:32,655 - mmseg - INFO - Iter [17350/160000] lr: 8.492e-06, eta: 23:26:40, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6458, decode.loss_mask: 0.7033, decode.loss_dice: 1.0200, decode.d0.loss_cls: 2.0054, decode.d0.loss_mask: 0.7352, decode.d0.loss_dice: 1.2139, decode.d1.loss_cls: 0.7977, decode.d1.loss_mask: 0.7355, decode.d1.loss_dice: 1.0954, decode.d2.loss_cls: 0.7015, decode.d2.loss_mask: 0.7173, decode.d2.loss_dice: 1.0494, decode.d3.loss_cls: 0.6645, decode.d3.loss_mask: 0.7143, decode.d3.loss_dice: 1.0290, decode.d4.loss_cls: 0.6602, decode.d4.loss_mask: 0.7097, decode.d4.loss_dice: 1.0325, decode.d5.loss_cls: 0.6595, decode.d5.loss_mask: 0.7067, decode.d5.loss_dice: 1.0273, decode.d6.loss_cls: 0.6486, decode.d6.loss_mask: 0.7066, decode.d6.loss_dice: 1.0183, decode.d7.loss_cls: 0.6435, decode.d7.loss_mask: 0.7043, decode.d7.loss_dice: 1.0186, decode.d8.loss_cls: 0.6431, decode.d8.loss_mask: 0.7061, decode.d8.loss_dice: 1.0214, loss: 25.7342, grad_norm: 75.7941 2023-11-22 00:07:00,964 - mmseg - INFO - Iter [17400/160000] lr: 8.489e-06, eta: 23:26:00, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6738, decode.loss_mask: 0.6853, decode.loss_dice: 1.0389, decode.d0.loss_cls: 2.0197, decode.d0.loss_mask: 0.7248, decode.d0.loss_dice: 1.2459, decode.d1.loss_cls: 0.8216, decode.d1.loss_mask: 0.7157, decode.d1.loss_dice: 1.1343, decode.d2.loss_cls: 0.7252, decode.d2.loss_mask: 0.6953, decode.d2.loss_dice: 1.0759, decode.d3.loss_cls: 0.6879, decode.d3.loss_mask: 0.6891, decode.d3.loss_dice: 1.0534, decode.d4.loss_cls: 0.6858, decode.d4.loss_mask: 0.6901, decode.d4.loss_dice: 1.0525, decode.d5.loss_cls: 0.6795, decode.d5.loss_mask: 0.6876, decode.d5.loss_dice: 1.0440, decode.d6.loss_cls: 0.6643, decode.d6.loss_mask: 0.6820, decode.d6.loss_dice: 1.0423, decode.d7.loss_cls: 0.6704, decode.d7.loss_mask: 0.6799, decode.d7.loss_dice: 1.0404, decode.d8.loss_cls: 0.6666, decode.d8.loss_mask: 0.6862, decode.d8.loss_dice: 1.0412, loss: 25.9996, grad_norm: 76.5524 2023-11-22 00:07:29,223 - mmseg - INFO - Iter [17450/160000] lr: 8.486e-06, eta: 23:25:20, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6424, decode.loss_mask: 0.6884, decode.loss_dice: 1.0033, decode.d0.loss_cls: 1.9888, decode.d0.loss_mask: 0.7270, decode.d0.loss_dice: 1.2017, decode.d1.loss_cls: 0.7776, decode.d1.loss_mask: 0.7170, decode.d1.loss_dice: 1.0825, decode.d2.loss_cls: 0.6902, decode.d2.loss_mask: 0.6951, decode.d2.loss_dice: 1.0395, decode.d3.loss_cls: 0.6609, decode.d3.loss_mask: 0.6859, decode.d3.loss_dice: 1.0052, decode.d4.loss_cls: 0.6512, decode.d4.loss_mask: 0.6851, decode.d4.loss_dice: 1.0127, decode.d5.loss_cls: 0.6411, decode.d5.loss_mask: 0.6859, decode.d5.loss_dice: 1.0157, decode.d6.loss_cls: 0.6355, decode.d6.loss_mask: 0.6882, decode.d6.loss_dice: 1.0061, decode.d7.loss_cls: 0.6363, decode.d7.loss_mask: 0.6878, decode.d7.loss_dice: 1.0085, decode.d8.loss_cls: 0.6391, decode.d8.loss_mask: 0.6866, decode.d8.loss_dice: 1.0065, loss: 25.2919, grad_norm: 70.6505 2023-11-22 00:07:57,360 - mmseg - INFO - Iter [17500/160000] lr: 8.483e-06, eta: 23:24:39, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6457, decode.loss_mask: 0.7013, decode.loss_dice: 0.9980, decode.d0.loss_cls: 1.9828, decode.d0.loss_mask: 0.7411, decode.d0.loss_dice: 1.1923, decode.d1.loss_cls: 0.8092, decode.d1.loss_mask: 0.7291, decode.d1.loss_dice: 1.0742, decode.d2.loss_cls: 0.7089, decode.d2.loss_mask: 0.7134, decode.d2.loss_dice: 1.0295, decode.d3.loss_cls: 0.6779, decode.d3.loss_mask: 0.7074, decode.d3.loss_dice: 1.0096, decode.d4.loss_cls: 0.6693, decode.d4.loss_mask: 0.7025, decode.d4.loss_dice: 1.0101, decode.d5.loss_cls: 0.6619, decode.d5.loss_mask: 0.7030, decode.d5.loss_dice: 1.0026, decode.d6.loss_cls: 0.6543, decode.d6.loss_mask: 0.6971, decode.d6.loss_dice: 0.9887, decode.d7.loss_cls: 0.6480, decode.d7.loss_mask: 0.6990, decode.d7.loss_dice: 1.0021, decode.d8.loss_cls: 0.6498, decode.d8.loss_mask: 0.7009, decode.d8.loss_dice: 0.9971, loss: 25.5068, grad_norm: 76.6075 2023-11-22 00:08:25,624 - mmseg - INFO - Iter [17550/160000] lr: 8.480e-06, eta: 23:23:58, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.6510, decode.loss_mask: 0.7165, decode.loss_dice: 1.0433, decode.d0.loss_cls: 1.9516, decode.d0.loss_mask: 0.7534, decode.d0.loss_dice: 1.2229, decode.d1.loss_cls: 0.7971, decode.d1.loss_mask: 0.7461, decode.d1.loss_dice: 1.1117, decode.d2.loss_cls: 0.7034, decode.d2.loss_mask: 0.7295, decode.d2.loss_dice: 1.0811, decode.d3.loss_cls: 0.6777, decode.d3.loss_mask: 0.7198, decode.d3.loss_dice: 1.0552, decode.d4.loss_cls: 0.6662, decode.d4.loss_mask: 0.7180, decode.d4.loss_dice: 1.0565, decode.d5.loss_cls: 0.6594, decode.d5.loss_mask: 0.7201, decode.d5.loss_dice: 1.0469, decode.d6.loss_cls: 0.6499, decode.d6.loss_mask: 0.7206, decode.d6.loss_dice: 1.0403, decode.d7.loss_cls: 0.6503, decode.d7.loss_mask: 0.7213, decode.d7.loss_dice: 1.0441, decode.d8.loss_cls: 0.6463, decode.d8.loss_mask: 0.7202, decode.d8.loss_dice: 1.0384, loss: 26.0591, grad_norm: 74.8097 2023-11-22 00:08:54,055 - mmseg - INFO - Iter [17600/160000] lr: 8.477e-06, eta: 23:23:20, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6489, decode.loss_mask: 0.7300, decode.loss_dice: 1.0284, decode.d0.loss_cls: 1.9512, decode.d0.loss_mask: 0.7668, decode.d0.loss_dice: 1.2245, decode.d1.loss_cls: 0.8047, decode.d1.loss_mask: 0.7524, decode.d1.loss_dice: 1.1015, decode.d2.loss_cls: 0.7060, decode.d2.loss_mask: 0.7347, decode.d2.loss_dice: 1.0556, decode.d3.loss_cls: 0.6806, decode.d3.loss_mask: 0.7323, decode.d3.loss_dice: 1.0286, decode.d4.loss_cls: 0.6744, decode.d4.loss_mask: 0.7336, decode.d4.loss_dice: 1.0373, decode.d5.loss_cls: 0.6580, decode.d5.loss_mask: 0.7319, decode.d5.loss_dice: 1.0307, decode.d6.loss_cls: 0.6571, decode.d6.loss_mask: 0.7315, decode.d6.loss_dice: 1.0218, decode.d7.loss_cls: 0.6531, decode.d7.loss_mask: 0.7289, decode.d7.loss_dice: 1.0209, decode.d8.loss_cls: 0.6553, decode.d8.loss_mask: 0.7299, decode.d8.loss_dice: 1.0196, loss: 26.0306, grad_norm: 79.3471 2023-11-22 00:09:22,619 - mmseg - INFO - Iter [17650/160000] lr: 8.474e-06, eta: 23:22:42, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6888, decode.loss_mask: 0.6961, decode.loss_dice: 1.0365, decode.d0.loss_cls: 2.0449, decode.d0.loss_mask: 0.7340, decode.d0.loss_dice: 1.2467, decode.d1.loss_cls: 0.8284, decode.d1.loss_mask: 0.7307, decode.d1.loss_dice: 1.1197, decode.d2.loss_cls: 0.7273, decode.d2.loss_mask: 0.7183, decode.d2.loss_dice: 1.0707, decode.d3.loss_cls: 0.7036, decode.d3.loss_mask: 0.7047, decode.d3.loss_dice: 1.0520, decode.d4.loss_cls: 0.6931, decode.d4.loss_mask: 0.7111, decode.d4.loss_dice: 1.0554, decode.d5.loss_cls: 0.6867, decode.d5.loss_mask: 0.7030, decode.d5.loss_dice: 1.0530, decode.d6.loss_cls: 0.6903, decode.d6.loss_mask: 0.6970, decode.d6.loss_dice: 1.0422, decode.d7.loss_cls: 0.6793, decode.d7.loss_mask: 0.7010, decode.d7.loss_dice: 1.0443, decode.d8.loss_cls: 0.6859, decode.d8.loss_mask: 0.6951, decode.d8.loss_dice: 1.0466, loss: 26.2866, grad_norm: 74.1196 2023-11-22 00:09:53,328 - mmseg - INFO - Iter [17700/160000] lr: 8.471e-06, eta: 23:22:22, time: 0.614, data_time: 0.060, memory: 38143, decode.loss_cls: 0.6700, decode.loss_mask: 0.6897, decode.loss_dice: 1.0272, decode.d0.loss_cls: 2.0244, decode.d0.loss_mask: 0.7401, decode.d0.loss_dice: 1.2291, decode.d1.loss_cls: 0.8386, decode.d1.loss_mask: 0.7260, decode.d1.loss_dice: 1.1047, decode.d2.loss_cls: 0.7314, decode.d2.loss_mask: 0.7136, decode.d2.loss_dice: 1.0561, decode.d3.loss_cls: 0.6981, decode.d3.loss_mask: 0.6990, decode.d3.loss_dice: 1.0305, decode.d4.loss_cls: 0.6904, decode.d4.loss_mask: 0.6968, decode.d4.loss_dice: 1.0312, decode.d5.loss_cls: 0.6830, decode.d5.loss_mask: 0.6963, decode.d5.loss_dice: 1.0336, decode.d6.loss_cls: 0.6711, decode.d6.loss_mask: 0.6937, decode.d6.loss_dice: 1.0213, decode.d7.loss_cls: 0.6637, decode.d7.loss_mask: 0.6970, decode.d7.loss_dice: 1.0247, decode.d8.loss_cls: 0.6673, decode.d8.loss_mask: 0.6969, decode.d8.loss_dice: 1.0258, loss: 25.9713, grad_norm: 77.8211 2023-11-22 00:10:21,495 - mmseg - INFO - Iter [17750/160000] lr: 8.468e-06, eta: 23:21:41, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6161, decode.loss_mask: 0.6893, decode.loss_dice: 1.0034, decode.d0.loss_cls: 1.9355, decode.d0.loss_mask: 0.7290, decode.d0.loss_dice: 1.1915, decode.d1.loss_cls: 0.7811, decode.d1.loss_mask: 0.7130, decode.d1.loss_dice: 1.0738, decode.d2.loss_cls: 0.6703, decode.d2.loss_mask: 0.6956, decode.d2.loss_dice: 1.0306, decode.d3.loss_cls: 0.6459, decode.d3.loss_mask: 0.6880, decode.d3.loss_dice: 1.0089, decode.d4.loss_cls: 0.6368, decode.d4.loss_mask: 0.6842, decode.d4.loss_dice: 1.0179, decode.d5.loss_cls: 0.6272, decode.d5.loss_mask: 0.6845, decode.d5.loss_dice: 1.0125, decode.d6.loss_cls: 0.6247, decode.d6.loss_mask: 0.6844, decode.d6.loss_dice: 0.9976, decode.d7.loss_cls: 0.6208, decode.d7.loss_mask: 0.6887, decode.d7.loss_dice: 1.0023, decode.d8.loss_cls: 0.6206, decode.d8.loss_mask: 0.6837, decode.d8.loss_dice: 0.9995, loss: 25.0572, grad_norm: 73.4812 2023-11-22 00:10:49,604 - mmseg - INFO - Iter [17800/160000] lr: 8.465e-06, eta: 23:21:00, time: 0.562, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6136, decode.loss_mask: 0.7236, decode.loss_dice: 1.0002, decode.d0.loss_cls: 1.9070, decode.d0.loss_mask: 0.7647, decode.d0.loss_dice: 1.1809, decode.d1.loss_cls: 0.7558, decode.d1.loss_mask: 0.7528, decode.d1.loss_dice: 1.0772, decode.d2.loss_cls: 0.6540, decode.d2.loss_mask: 0.7490, decode.d2.loss_dice: 1.0395, decode.d3.loss_cls: 0.6369, decode.d3.loss_mask: 0.7291, decode.d3.loss_dice: 1.0024, decode.d4.loss_cls: 0.6293, decode.d4.loss_mask: 0.7272, decode.d4.loss_dice: 1.0080, decode.d5.loss_cls: 0.6295, decode.d5.loss_mask: 0.7261, decode.d5.loss_dice: 1.0121, decode.d6.loss_cls: 0.6240, decode.d6.loss_mask: 0.7209, decode.d6.loss_dice: 0.9992, decode.d7.loss_cls: 0.6198, decode.d7.loss_mask: 0.7249, decode.d7.loss_dice: 0.9977, decode.d8.loss_cls: 0.6147, decode.d8.loss_mask: 0.7275, decode.d8.loss_dice: 1.0014, loss: 25.3489, grad_norm: 74.6333 2023-11-22 00:11:17,841 - mmseg - INFO - Iter [17850/160000] lr: 8.462e-06, eta: 23:20:20, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6237, decode.loss_mask: 0.6844, decode.loss_dice: 1.0244, decode.d0.loss_cls: 1.9493, decode.d0.loss_mask: 0.7313, decode.d0.loss_dice: 1.2203, decode.d1.loss_cls: 0.7729, decode.d1.loss_mask: 0.7214, decode.d1.loss_dice: 1.1071, decode.d2.loss_cls: 0.6784, decode.d2.loss_mask: 0.7042, decode.d2.loss_dice: 1.0654, decode.d3.loss_cls: 0.6441, decode.d3.loss_mask: 0.6893, decode.d3.loss_dice: 1.0368, decode.d4.loss_cls: 0.6467, decode.d4.loss_mask: 0.6869, decode.d4.loss_dice: 1.0257, decode.d5.loss_cls: 0.6443, decode.d5.loss_mask: 0.6880, decode.d5.loss_dice: 1.0286, decode.d6.loss_cls: 0.6297, decode.d6.loss_mask: 0.6863, decode.d6.loss_dice: 1.0225, decode.d7.loss_cls: 0.6323, decode.d7.loss_mask: 0.6837, decode.d7.loss_dice: 1.0209, decode.d8.loss_cls: 0.6234, decode.d8.loss_mask: 0.6900, decode.d8.loss_dice: 1.0228, loss: 25.3850, grad_norm: 73.8902 2023-11-22 00:11:46,341 - mmseg - INFO - Iter [17900/160000] lr: 8.459e-06, eta: 23:19:42, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6197, decode.loss_mask: 0.6773, decode.loss_dice: 0.9842, decode.d0.loss_cls: 1.9603, decode.d0.loss_mask: 0.7207, decode.d0.loss_dice: 1.1795, decode.d1.loss_cls: 0.7643, decode.d1.loss_mask: 0.7189, decode.d1.loss_dice: 1.0632, decode.d2.loss_cls: 0.6675, decode.d2.loss_mask: 0.6937, decode.d2.loss_dice: 1.0173, decode.d3.loss_cls: 0.6267, decode.d3.loss_mask: 0.6890, decode.d3.loss_dice: 0.9957, decode.d4.loss_cls: 0.6196, decode.d4.loss_mask: 0.6872, decode.d4.loss_dice: 0.9988, decode.d5.loss_cls: 0.6261, decode.d5.loss_mask: 0.6797, decode.d5.loss_dice: 0.9877, decode.d6.loss_cls: 0.6173, decode.d6.loss_mask: 0.6806, decode.d6.loss_dice: 0.9894, decode.d7.loss_cls: 0.6071, decode.d7.loss_mask: 0.6793, decode.d7.loss_dice: 0.9873, decode.d8.loss_cls: 0.6153, decode.d8.loss_mask: 0.6809, decode.d8.loss_dice: 0.9862, loss: 24.8206, grad_norm: 72.9145 2023-11-22 00:12:14,875 - mmseg - INFO - Iter [17950/160000] lr: 8.456e-06, eta: 23:19:04, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6318, decode.loss_mask: 0.7211, decode.loss_dice: 1.0219, decode.d0.loss_cls: 1.9625, decode.d0.loss_mask: 0.7542, decode.d0.loss_dice: 1.2110, decode.d1.loss_cls: 0.7820, decode.d1.loss_mask: 0.7451, decode.d1.loss_dice: 1.0969, decode.d2.loss_cls: 0.6825, decode.d2.loss_mask: 0.7338, decode.d2.loss_dice: 1.0586, decode.d3.loss_cls: 0.6561, decode.d3.loss_mask: 0.7283, decode.d3.loss_dice: 1.0345, decode.d4.loss_cls: 0.6526, decode.d4.loss_mask: 0.7330, decode.d4.loss_dice: 1.0383, decode.d5.loss_cls: 0.6518, decode.d5.loss_mask: 0.7285, decode.d5.loss_dice: 1.0276, decode.d6.loss_cls: 0.6451, decode.d6.loss_mask: 0.7283, decode.d6.loss_dice: 1.0191, decode.d7.loss_cls: 0.6313, decode.d7.loss_mask: 0.7248, decode.d7.loss_dice: 1.0316, decode.d8.loss_cls: 0.6344, decode.d8.loss_mask: 0.7242, decode.d8.loss_dice: 1.0282, loss: 25.8190, grad_norm: 77.1212 2023-11-22 00:12:43,162 - mmseg - INFO - Saving checkpoint at 18000 iterations 2023-11-22 00:12:50,812 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 00:12:50,812 - mmseg - INFO - Iter [18000/160000] lr: 8.453e-06, eta: 23:19:25, time: 0.719, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6381, decode.loss_mask: 0.7123, decode.loss_dice: 1.0109, decode.d0.loss_cls: 1.9356, decode.d0.loss_mask: 0.7545, decode.d0.loss_dice: 1.2006, decode.d1.loss_cls: 0.7749, decode.d1.loss_mask: 0.7443, decode.d1.loss_dice: 1.0892, decode.d2.loss_cls: 0.6954, decode.d2.loss_mask: 0.7237, decode.d2.loss_dice: 1.0430, decode.d3.loss_cls: 0.6640, decode.d3.loss_mask: 0.7219, decode.d3.loss_dice: 1.0265, decode.d4.loss_cls: 0.6489, decode.d4.loss_mask: 0.7199, decode.d4.loss_dice: 1.0263, decode.d5.loss_cls: 0.6482, decode.d5.loss_mask: 0.7174, decode.d5.loss_dice: 1.0147, decode.d6.loss_cls: 0.6430, decode.d6.loss_mask: 0.7137, decode.d6.loss_dice: 1.0137, decode.d7.loss_cls: 0.6401, decode.d7.loss_mask: 0.7136, decode.d7.loss_dice: 1.0136, decode.d8.loss_cls: 0.6368, decode.d8.loss_mask: 0.7128, decode.d8.loss_dice: 1.0121, loss: 25.6098, grad_norm: 74.1276 2023-11-22 00:13:10,621 - mmseg - INFO - per class results: 2023-11-22 00:13:10,626 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.25 | 87.55 | | building | 83.83 | 91.63 | | sky | 94.82 | 97.64 | | floor | 84.01 | 90.0 | | tree | 77.68 | 87.78 | | ceiling | 85.16 | 93.99 | | road | 84.42 | 88.81 | | bed | 92.06 | 97.11 | | windowpane | 63.44 | 80.35 | | grass | 58.4 | 66.75 | | cabinet | 60.98 | 75.83 | | sidewalk | 67.83 | 81.54 | | person | 85.79 | 92.45 | | earth | 36.62 | 53.48 | | door | 52.6 | 74.23 | | table | 66.86 | 77.89 | | mountain | 58.69 | 79.87 | | plant | 56.2 | 66.94 | | curtain | 75.44 | 84.53 | | chair | 58.61 | 68.69 | | car | 87.36 | 93.64 | | water | 51.77 | 74.06 | | painting | 70.86 | 90.97 | | sofa | 70.15 | 87.49 | | shelf | 47.82 | 69.67 | | house | 38.65 | 47.7 | | sea | 57.6 | 76.09 | | mirror | 73.6 | 85.31 | | rug | 67.0 | 81.11 | | field | 22.59 | 61.6 | | armchair | 40.66 | 67.21 | | seat | 68.43 | 87.1 | | fence | 40.23 | 82.25 | | desk | 46.43 | 64.33 | | rock | 39.22 | 45.33 | | wardrobe | 47.66 | 69.61 | | lamp | 68.94 | 77.72 | | bathtub | 79.19 | 83.54 | | railing | 32.39 | 57.89 | | cushion | 65.76 | 73.75 | | base | 27.87 | 52.96 | | box | 29.25 | 50.96 | | column | 51.53 | 70.36 | | signboard | 41.8 | 58.41 | | chest of drawers | 41.37 | 71.19 | | counter | 33.9 | 44.57 | | sand | 34.72 | 49.89 | | sink | 75.31 | 88.11 | | skyscraper | 44.39 | 55.02 | | fireplace | 76.49 | 91.93 | | refrigerator | 81.52 | 89.09 | | grandstand | 37.82 | 85.48 | | path | 20.15 | 28.49 | | stairs | 28.57 | 34.89 | | runway | 72.68 | 92.4 | | case | 60.53 | 83.4 | | pool table | 94.25 | 97.29 | | pillow | 64.06 | 78.57 | | screen door | 81.37 | 88.47 | | stairway | 27.05 | 44.93 | | river | 5.97 | 7.4 | | bridge | 58.52 | 90.61 | | bookcase | 26.34 | 54.7 | | blind | 31.1 | 33.3 | | coffee table | 65.18 | 82.2 | | toilet | 89.1 | 91.99 | | flower | 44.69 | 54.58 | | book | 48.46 | 59.59 | | hill | 7.75 | 18.78 | | bench | 65.68 | 78.16 | | countertop | 61.29 | 78.35 | | stove | 78.12 | 87.16 | | palm | 56.63 | 77.51 | | kitchen island | 36.09 | 53.48 | | computer | 80.17 | 88.06 | | swivel chair | 55.21 | 81.07 | | boat | 76.01 | 92.58 | | bar | 19.58 | 20.38 | | arcade machine | 21.82 | 37.93 | | hovel | 6.91 | 7.27 | | bus | 93.69 | 95.21 | | towel | 78.2 | 92.03 | | light | 55.95 | 81.79 | | truck | 40.74 | 59.96 | | tower | 15.71 | 24.57 | | chandelier | 63.25 | 80.75 | | awning | 37.18 | 44.23 | | streetlight | 41.42 | 60.25 | | booth | 9.49 | 9.51 | | television receiver | 71.85 | 87.87 | | airplane | 65.64 | 69.23 | | dirt track | 0.0 | 0.0 | | apparel | 30.63 | 46.37 | | pole | 29.42 | 47.04 | | land | 0.66 | 0.82 | | bannister | 11.93 | 29.71 | | escalator | 0.0 | 0.0 | | ottoman | 52.56 | 73.14 | | bottle | 29.31 | 40.2 | | buffet | 0.03 | 0.03 | | poster | 35.74 | 58.18 | | stage | 8.38 | 29.22 | | van | 49.34 | 76.28 | | ship | 0.0 | 0.0 | | fountain | 17.96 | 22.61 | | conveyer belt | 67.81 | 87.61 | | canopy | 21.59 | 28.79 | | washer | 64.19 | 77.34 | | plaything | 35.19 | 44.27 | | swimming pool | 19.82 | 30.81 | | stool | 44.09 | 71.73 | | barrel | 58.16 | 64.42 | | basket | 35.73 | 58.06 | | waterfall | 55.71 | 75.56 | | tent | 96.53 | 97.77 | | bag | 21.83 | 27.74 | | minibike | 71.13 | 89.29 | | cradle | 79.49 | 86.17 | | oven | 45.64 | 66.68 | | ball | 53.6 | 74.04 | | food | 63.27 | 69.16 | | step | 32.17 | 43.67 | | tank | 0.0 | 0.0 | | trade name | 30.6 | 40.98 | | microwave | 86.2 | 95.14 | | pot | 47.22 | 55.11 | | animal | 70.79 | 72.8 | | bicycle | 61.45 | 84.58 | | lake | 0.0 | 0.0 | | dishwasher | 64.03 | 77.59 | | screen | 42.59 | 88.81 | | blanket | 37.29 | 49.9 | | sculpture | 50.71 | 80.12 | | hood | 65.79 | 77.38 | | sconce | 52.17 | 68.81 | | vase | 51.68 | 72.93 | | traffic light | 36.03 | 78.09 | | tray | 13.97 | 22.88 | | ashcan | 44.08 | 62.94 | | fan | 65.14 | 87.94 | | pier | 1.1 | 1.92 | | crt screen | 8.83 | 11.73 | | plate | 61.33 | 79.37 | | monitor | 0.1 | 0.12 | | bulletin board | 25.17 | 30.09 | | shower | 17.08 | 19.15 | | radiator | 65.54 | 85.32 | | glass | 25.29 | 29.79 | | clock | 36.52 | 45.45 | | flag | 73.17 | 83.7 | +---------------------+-------+-------+ 2023-11-22 00:13:10,626 - mmseg - INFO - Summary: 2023-11-22 00:13:10,626 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 83.47 | 48.92 | 62.6 | +-------+-------+------+ 2023-11-22 00:13:10,944 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_l_640_160k_ade20k_ss/best_mIoU_iter_16000.pth was removed 2023-11-22 00:13:18,060 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_18000.pth. 2023-11-22 00:13:18,060 - mmseg - INFO - Best mIoU is 0.4892 at 18000 iter. 2023-11-22 00:13:18,060 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 00:13:18,061 - mmseg - INFO - Iter(val) [250] aAcc: 0.8347, mIoU: 0.4892, mAcc: 0.6260, IoU.wall: 0.8025, IoU.building: 0.8383, IoU.sky: 0.9482, IoU.floor: 0.8401, IoU.tree: 0.7768, IoU.ceiling: 0.8516, IoU.road: 0.8442, IoU.bed : 0.9206, IoU.windowpane: 0.6344, IoU.grass: 0.5840, IoU.cabinet: 0.6098, IoU.sidewalk: 0.6783, IoU.person: 0.8579, IoU.earth: 0.3662, IoU.door: 0.5260, IoU.table: 0.6686, IoU.mountain: 0.5869, IoU.plant: 0.5620, IoU.curtain: 0.7544, IoU.chair: 0.5861, IoU.car: 0.8736, IoU.water: 0.5177, IoU.painting: 0.7086, IoU.sofa: 0.7015, IoU.shelf: 0.4782, IoU.house: 0.3865, IoU.sea: 0.5760, IoU.mirror: 0.7360, IoU.rug: 0.6700, IoU.field: 0.2259, IoU.armchair: 0.4066, IoU.seat: 0.6843, IoU.fence: 0.4023, IoU.desk: 0.4643, IoU.rock: 0.3922, IoU.wardrobe: 0.4766, IoU.lamp: 0.6894, IoU.bathtub: 0.7919, IoU.railing: 0.3239, IoU.cushion: 0.6576, IoU.base: 0.2787, IoU.box: 0.2925, IoU.column: 0.5153, IoU.signboard: 0.4180, IoU.chest of drawers: 0.4137, IoU.counter: 0.3390, IoU.sand: 0.3472, IoU.sink: 0.7531, IoU.skyscraper: 0.4439, IoU.fireplace: 0.7649, IoU.refrigerator: 0.8152, IoU.grandstand: 0.3782, IoU.path: 0.2015, IoU.stairs: 0.2857, IoU.runway: 0.7268, IoU.case: 0.6053, IoU.pool table: 0.9425, IoU.pillow: 0.6406, IoU.screen door: 0.8137, IoU.stairway: 0.2705, IoU.river: 0.0597, IoU.bridge: 0.5852, IoU.bookcase: 0.2634, IoU.blind: 0.3110, IoU.coffee table: 0.6518, IoU.toilet: 0.8910, IoU.flower: 0.4469, IoU.book: 0.4846, IoU.hill: 0.0775, IoU.bench: 0.6568, IoU.countertop: 0.6129, IoU.stove: 0.7812, IoU.palm: 0.5663, IoU.kitchen island: 0.3609, IoU.computer: 0.8017, IoU.swivel chair: 0.5521, IoU.boat: 0.7601, IoU.bar: 0.1958, IoU.arcade machine: 0.2182, IoU.hovel: 0.0691, IoU.bus: 0.9369, IoU.towel: 0.7820, IoU.light: 0.5595, IoU.truck: 0.4074, IoU.tower: 0.1571, IoU.chandelier: 0.6325, IoU.awning: 0.3718, IoU.streetlight: 0.4142, IoU.booth: 0.0949, IoU.television receiver: 0.7185, IoU.airplane: 0.6564, IoU.dirt track: 0.0000, IoU.apparel: 0.3063, IoU.pole: 0.2942, IoU.land: 0.0066, IoU.bannister: 0.1193, IoU.escalator: 0.0000, IoU.ottoman: 0.5256, IoU.bottle: 0.2931, IoU.buffet: 0.0003, IoU.poster: 0.3574, IoU.stage: 0.0838, IoU.van: 0.4934, IoU.ship: 0.0000, IoU.fountain: 0.1796, IoU.conveyer belt: 0.6781, IoU.canopy: 0.2159, IoU.washer: 0.6419, IoU.plaything: 0.3519, IoU.swimming pool: 0.1982, IoU.stool: 0.4409, IoU.barrel: 0.5816, IoU.basket: 0.3573, IoU.waterfall: 0.5571, IoU.tent: 0.9653, IoU.bag: 0.2183, IoU.minibike: 0.7113, IoU.cradle: 0.7949, IoU.oven: 0.4564, IoU.ball: 0.5360, IoU.food: 0.6327, IoU.step: 0.3217, IoU.tank: 0.0000, IoU.trade name: 0.3060, IoU.microwave: 0.8620, IoU.pot: 0.4722, IoU.animal: 0.7079, IoU.bicycle: 0.6145, IoU.lake: 0.0000, IoU.dishwasher: 0.6403, IoU.screen: 0.4259, IoU.blanket: 0.3729, IoU.sculpture: 0.5071, IoU.hood: 0.6579, IoU.sconce: 0.5217, IoU.vase: 0.5168, IoU.traffic light: 0.3603, IoU.tray: 0.1397, IoU.ashcan: 0.4408, IoU.fan: 0.6514, IoU.pier: 0.0110, IoU.crt screen: 0.0883, IoU.plate: 0.6133, IoU.monitor: 0.0010, IoU.bulletin board: 0.2517, IoU.shower: 0.1708, IoU.radiator: 0.6554, IoU.glass: 0.2529, IoU.clock: 0.3652, IoU.flag: 0.7317, Acc.wall: 0.8755, Acc.building: 0.9163, Acc.sky: 0.9764, Acc.floor: 0.9000, Acc.tree: 0.8778, Acc.ceiling: 0.9399, Acc.road: 0.8881, Acc.bed : 0.9711, Acc.windowpane: 0.8035, Acc.grass: 0.6675, Acc.cabinet: 0.7583, Acc.sidewalk: 0.8154, Acc.person: 0.9245, Acc.earth: 0.5348, Acc.door: 0.7423, Acc.table: 0.7789, Acc.mountain: 0.7987, Acc.plant: 0.6694, Acc.curtain: 0.8453, Acc.chair: 0.6869, Acc.car: 0.9364, Acc.water: 0.7406, Acc.painting: 0.9097, Acc.sofa: 0.8749, Acc.shelf: 0.6967, Acc.house: 0.4770, Acc.sea: 0.7609, Acc.mirror: 0.8531, Acc.rug: 0.8111, Acc.field: 0.6160, Acc.armchair: 0.6721, Acc.seat: 0.8710, Acc.fence: 0.8225, Acc.desk: 0.6433, Acc.rock: 0.4533, Acc.wardrobe: 0.6961, Acc.lamp: 0.7772, Acc.bathtub: 0.8354, Acc.railing: 0.5789, Acc.cushion: 0.7375, Acc.base: 0.5296, Acc.box: 0.5096, Acc.column: 0.7036, Acc.signboard: 0.5841, Acc.chest of drawers: 0.7119, Acc.counter: 0.4457, Acc.sand: 0.4989, Acc.sink: 0.8811, Acc.skyscraper: 0.5502, Acc.fireplace: 0.9193, Acc.refrigerator: 0.8909, Acc.grandstand: 0.8548, Acc.path: 0.2849, Acc.stairs: 0.3489, Acc.runway: 0.9240, Acc.case: 0.8340, Acc.pool table: 0.9729, Acc.pillow: 0.7857, Acc.screen door: 0.8847, Acc.stairway: 0.4493, Acc.river: 0.0740, Acc.bridge: 0.9061, Acc.bookcase: 0.5470, Acc.blind: 0.3330, Acc.coffee table: 0.8220, Acc.toilet: 0.9199, Acc.flower: 0.5458, Acc.book: 0.5959, Acc.hill: 0.1878, Acc.bench: 0.7816, Acc.countertop: 0.7835, Acc.stove: 0.8716, Acc.palm: 0.7751, Acc.kitchen island: 0.5348, Acc.computer: 0.8806, Acc.swivel chair: 0.8107, Acc.boat: 0.9258, Acc.bar: 0.2038, Acc.arcade machine: 0.3793, Acc.hovel: 0.0727, Acc.bus: 0.9521, Acc.towel: 0.9203, Acc.light: 0.8179, Acc.truck: 0.5996, Acc.tower: 0.2457, Acc.chandelier: 0.8075, Acc.awning: 0.4423, Acc.streetlight: 0.6025, Acc.booth: 0.0951, Acc.television receiver: 0.8787, Acc.airplane: 0.6923, Acc.dirt track: 0.0000, Acc.apparel: 0.4637, Acc.pole: 0.4704, Acc.land: 0.0082, Acc.bannister: 0.2971, Acc.escalator: 0.0000, Acc.ottoman: 0.7314, Acc.bottle: 0.4020, Acc.buffet: 0.0003, Acc.poster: 0.5818, Acc.stage: 0.2922, Acc.van: 0.7628, Acc.ship: 0.0000, Acc.fountain: 0.2261, Acc.conveyer belt: 0.8761, Acc.canopy: 0.2879, Acc.washer: 0.7734, Acc.plaything: 0.4427, Acc.swimming pool: 0.3081, Acc.stool: 0.7173, Acc.barrel: 0.6442, Acc.basket: 0.5806, Acc.waterfall: 0.7556, Acc.tent: 0.9777, Acc.bag: 0.2774, Acc.minibike: 0.8929, Acc.cradle: 0.8617, Acc.oven: 0.6668, Acc.ball: 0.7404, Acc.food: 0.6916, Acc.step: 0.4367, Acc.tank: 0.0000, Acc.trade name: 0.4098, Acc.microwave: 0.9514, Acc.pot: 0.5511, Acc.animal: 0.7280, Acc.bicycle: 0.8458, Acc.lake: 0.0000, Acc.dishwasher: 0.7759, Acc.screen: 0.8881, Acc.blanket: 0.4990, Acc.sculpture: 0.8012, Acc.hood: 0.7738, Acc.sconce: 0.6881, Acc.vase: 0.7293, Acc.traffic light: 0.7809, Acc.tray: 0.2288, Acc.ashcan: 0.6294, Acc.fan: 0.8794, Acc.pier: 0.0192, Acc.crt screen: 0.1173, Acc.plate: 0.7937, Acc.monitor: 0.0012, Acc.bulletin board: 0.3009, Acc.shower: 0.1915, Acc.radiator: 0.8532, Acc.glass: 0.2979, Acc.clock: 0.4545, Acc.flag: 0.8370 2023-11-22 00:13:46,374 - mmseg - INFO - Iter [18050/160000] lr: 8.450e-06, eta: 23:22:20, time: 1.111, data_time: 0.558, memory: 38143, decode.loss_cls: 0.6582, decode.loss_mask: 0.7046, decode.loss_dice: 1.0264, decode.d0.loss_cls: 1.9748, decode.d0.loss_mask: 0.7469, decode.d0.loss_dice: 1.2244, decode.d1.loss_cls: 0.8143, decode.d1.loss_mask: 0.7281, decode.d1.loss_dice: 1.1045, decode.d2.loss_cls: 0.7088, decode.d2.loss_mask: 0.7197, decode.d2.loss_dice: 1.0454, decode.d3.loss_cls: 0.6909, decode.d3.loss_mask: 0.7039, decode.d3.loss_dice: 1.0285, decode.d4.loss_cls: 0.6762, decode.d4.loss_mask: 0.7056, decode.d4.loss_dice: 1.0376, decode.d5.loss_cls: 0.6617, decode.d5.loss_mask: 0.7115, decode.d5.loss_dice: 1.0337, decode.d6.loss_cls: 0.6633, decode.d6.loss_mask: 0.7055, decode.d6.loss_dice: 1.0288, decode.d7.loss_cls: 0.6578, decode.d7.loss_mask: 0.7078, decode.d7.loss_dice: 1.0262, decode.d8.loss_cls: 0.6560, decode.d8.loss_mask: 0.7058, decode.d8.loss_dice: 1.0270, loss: 25.8839, grad_norm: 74.4521 2023-11-22 00:14:14,629 - mmseg - INFO - Iter [18100/160000] lr: 8.447e-06, eta: 23:21:39, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6367, decode.loss_mask: 0.6868, decode.loss_dice: 0.9906, decode.d0.loss_cls: 1.9593, decode.d0.loss_mask: 0.7231, decode.d0.loss_dice: 1.1929, decode.d1.loss_cls: 0.7778, decode.d1.loss_mask: 0.7139, decode.d1.loss_dice: 1.0749, decode.d2.loss_cls: 0.6829, decode.d2.loss_mask: 0.7018, decode.d2.loss_dice: 1.0322, decode.d3.loss_cls: 0.6581, decode.d3.loss_mask: 0.6965, decode.d3.loss_dice: 1.0069, decode.d4.loss_cls: 0.6439, decode.d4.loss_mask: 0.6925, decode.d4.loss_dice: 1.0050, decode.d5.loss_cls: 0.6393, decode.d5.loss_mask: 0.6903, decode.d5.loss_dice: 1.0139, decode.d6.loss_cls: 0.6405, decode.d6.loss_mask: 0.6865, decode.d6.loss_dice: 0.9921, decode.d7.loss_cls: 0.6412, decode.d7.loss_mask: 0.6855, decode.d7.loss_dice: 0.9890, decode.d8.loss_cls: 0.6395, decode.d8.loss_mask: 0.6849, decode.d8.loss_dice: 0.9926, loss: 25.1709, grad_norm: 73.8900 2023-11-22 00:14:42,842 - mmseg - INFO - Iter [18150/160000] lr: 8.444e-06, eta: 23:20:59, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6239, decode.loss_mask: 0.6870, decode.loss_dice: 0.9879, decode.d0.loss_cls: 1.9060, decode.d0.loss_mask: 0.7166, decode.d0.loss_dice: 1.1720, decode.d1.loss_cls: 0.7687, decode.d1.loss_mask: 0.7103, decode.d1.loss_dice: 1.0638, decode.d2.loss_cls: 0.6780, decode.d2.loss_mask: 0.6970, decode.d2.loss_dice: 1.0292, decode.d3.loss_cls: 0.6401, decode.d3.loss_mask: 0.6892, decode.d3.loss_dice: 1.0035, decode.d4.loss_cls: 0.6354, decode.d4.loss_mask: 0.6914, decode.d4.loss_dice: 1.0022, decode.d5.loss_cls: 0.6270, decode.d5.loss_mask: 0.6913, decode.d5.loss_dice: 1.0049, decode.d6.loss_cls: 0.6256, decode.d6.loss_mask: 0.6863, decode.d6.loss_dice: 0.9817, decode.d7.loss_cls: 0.6190, decode.d7.loss_mask: 0.6882, decode.d7.loss_dice: 0.9939, decode.d8.loss_cls: 0.6205, decode.d8.loss_mask: 0.6869, decode.d8.loss_dice: 0.9888, loss: 24.9163, grad_norm: 77.2736 2023-11-22 00:15:11,486 - mmseg - INFO - Iter [18200/160000] lr: 8.441e-06, eta: 23:20:21, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6613, decode.loss_mask: 0.7276, decode.loss_dice: 1.0484, decode.d0.loss_cls: 2.0179, decode.d0.loss_mask: 0.7587, decode.d0.loss_dice: 1.2462, decode.d1.loss_cls: 0.8068, decode.d1.loss_mask: 0.7526, decode.d1.loss_dice: 1.1307, decode.d2.loss_cls: 0.7137, decode.d2.loss_mask: 0.7356, decode.d2.loss_dice: 1.0810, decode.d3.loss_cls: 0.6835, decode.d3.loss_mask: 0.7245, decode.d3.loss_dice: 1.0611, decode.d4.loss_cls: 0.6720, decode.d4.loss_mask: 0.7271, decode.d4.loss_dice: 1.0598, decode.d5.loss_cls: 0.6693, decode.d5.loss_mask: 0.7236, decode.d5.loss_dice: 1.0658, decode.d6.loss_cls: 0.6706, decode.d6.loss_mask: 0.7183, decode.d6.loss_dice: 1.0519, decode.d7.loss_cls: 0.6640, decode.d7.loss_mask: 0.7204, decode.d7.loss_dice: 1.0532, decode.d8.loss_cls: 0.6622, decode.d8.loss_mask: 0.7219, decode.d8.loss_dice: 1.0490, loss: 26.3789, grad_norm: 79.0676 2023-11-22 00:15:39,924 - mmseg - INFO - Iter [18250/160000] lr: 8.438e-06, eta: 23:19:42, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6313, decode.loss_mask: 0.7112, decode.loss_dice: 1.0191, decode.d0.loss_cls: 1.9591, decode.d0.loss_mask: 0.7479, decode.d0.loss_dice: 1.1979, decode.d1.loss_cls: 0.7908, decode.d1.loss_mask: 0.7390, decode.d1.loss_dice: 1.0980, decode.d2.loss_cls: 0.6972, decode.d2.loss_mask: 0.7223, decode.d2.loss_dice: 1.0488, decode.d3.loss_cls: 0.6651, decode.d3.loss_mask: 0.7082, decode.d3.loss_dice: 1.0263, decode.d4.loss_cls: 0.6549, decode.d4.loss_mask: 0.7122, decode.d4.loss_dice: 1.0269, decode.d5.loss_cls: 0.6486, decode.d5.loss_mask: 0.7111, decode.d5.loss_dice: 1.0245, decode.d6.loss_cls: 0.6440, decode.d6.loss_mask: 0.7122, decode.d6.loss_dice: 1.0054, decode.d7.loss_cls: 0.6441, decode.d7.loss_mask: 0.7115, decode.d7.loss_dice: 1.0164, decode.d8.loss_cls: 0.6395, decode.d8.loss_mask: 0.7094, decode.d8.loss_dice: 1.0112, loss: 25.6343, grad_norm: 71.4224 2023-11-22 00:16:08,287 - mmseg - INFO - Iter [18300/160000] lr: 8.436e-06, eta: 23:19:03, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6677, decode.loss_mask: 0.7002, decode.loss_dice: 1.0177, decode.d0.loss_cls: 1.9638, decode.d0.loss_mask: 0.7437, decode.d0.loss_dice: 1.2104, decode.d1.loss_cls: 0.8142, decode.d1.loss_mask: 0.7336, decode.d1.loss_dice: 1.0906, decode.d2.loss_cls: 0.7203, decode.d2.loss_mask: 0.7112, decode.d2.loss_dice: 1.0509, decode.d3.loss_cls: 0.6840, decode.d3.loss_mask: 0.7091, decode.d3.loss_dice: 1.0228, decode.d4.loss_cls: 0.6762, decode.d4.loss_mask: 0.7105, decode.d4.loss_dice: 1.0289, decode.d5.loss_cls: 0.6769, decode.d5.loss_mask: 0.7055, decode.d5.loss_dice: 1.0233, decode.d6.loss_cls: 0.6733, decode.d6.loss_mask: 0.7089, decode.d6.loss_dice: 1.0111, decode.d7.loss_cls: 0.6723, decode.d7.loss_mask: 0.7102, decode.d7.loss_dice: 1.0188, decode.d8.loss_cls: 0.6642, decode.d8.loss_mask: 0.7068, decode.d8.loss_dice: 1.0196, loss: 25.8466, grad_norm: 76.4556 2023-11-22 00:16:36,548 - mmseg - INFO - Iter [18350/160000] lr: 8.433e-06, eta: 23:18:23, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6752, decode.loss_mask: 0.7001, decode.loss_dice: 1.0198, decode.d0.loss_cls: 1.9639, decode.d0.loss_mask: 0.7356, decode.d0.loss_dice: 1.2176, decode.d1.loss_cls: 0.8080, decode.d1.loss_mask: 0.7328, decode.d1.loss_dice: 1.1113, decode.d2.loss_cls: 0.7249, decode.d2.loss_mask: 0.7152, decode.d2.loss_dice: 1.0586, decode.d3.loss_cls: 0.6995, decode.d3.loss_mask: 0.7104, decode.d3.loss_dice: 1.0333, decode.d4.loss_cls: 0.6850, decode.d4.loss_mask: 0.7050, decode.d4.loss_dice: 1.0307, decode.d5.loss_cls: 0.6883, decode.d5.loss_mask: 0.6997, decode.d5.loss_dice: 1.0281, decode.d6.loss_cls: 0.6805, decode.d6.loss_mask: 0.6978, decode.d6.loss_dice: 1.0231, decode.d7.loss_cls: 0.6753, decode.d7.loss_mask: 0.6984, decode.d7.loss_dice: 1.0262, decode.d8.loss_cls: 0.6745, decode.d8.loss_mask: 0.7020, decode.d8.loss_dice: 1.0271, loss: 25.9480, grad_norm: 74.9990 2023-11-22 00:17:04,857 - mmseg - INFO - Iter [18400/160000] lr: 8.430e-06, eta: 23:17:43, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6409, decode.loss_mask: 0.7124, decode.loss_dice: 1.0279, decode.d0.loss_cls: 1.9428, decode.d0.loss_mask: 0.7553, decode.d0.loss_dice: 1.2155, decode.d1.loss_cls: 0.7793, decode.d1.loss_mask: 0.7398, decode.d1.loss_dice: 1.1145, decode.d2.loss_cls: 0.6899, decode.d2.loss_mask: 0.7264, decode.d2.loss_dice: 1.0695, decode.d3.loss_cls: 0.6580, decode.d3.loss_mask: 0.7188, decode.d3.loss_dice: 1.0388, decode.d4.loss_cls: 0.6499, decode.d4.loss_mask: 0.7123, decode.d4.loss_dice: 1.0410, decode.d5.loss_cls: 0.6540, decode.d5.loss_mask: 0.7121, decode.d5.loss_dice: 1.0320, decode.d6.loss_cls: 0.6485, decode.d6.loss_mask: 0.7123, decode.d6.loss_dice: 1.0268, decode.d7.loss_cls: 0.6426, decode.d7.loss_mask: 0.7140, decode.d7.loss_dice: 1.0323, decode.d8.loss_cls: 0.6443, decode.d8.loss_mask: 0.7131, decode.d8.loss_dice: 1.0298, loss: 25.7947, grad_norm: 75.7773 2023-11-22 00:17:33,221 - mmseg - INFO - Iter [18450/160000] lr: 8.427e-06, eta: 23:17:04, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6295, decode.loss_mask: 0.7112, decode.loss_dice: 1.0181, decode.d0.loss_cls: 1.9747, decode.d0.loss_mask: 0.7535, decode.d0.loss_dice: 1.2214, decode.d1.loss_cls: 0.7846, decode.d1.loss_mask: 0.7443, decode.d1.loss_dice: 1.1162, decode.d2.loss_cls: 0.6993, decode.d2.loss_mask: 0.7168, decode.d2.loss_dice: 1.0585, decode.d3.loss_cls: 0.6561, decode.d3.loss_mask: 0.7191, decode.d3.loss_dice: 1.0370, decode.d4.loss_cls: 0.6608, decode.d4.loss_mask: 0.7135, decode.d4.loss_dice: 1.0309, decode.d5.loss_cls: 0.6524, decode.d5.loss_mask: 0.7166, decode.d5.loss_dice: 1.0261, decode.d6.loss_cls: 0.6394, decode.d6.loss_mask: 0.7123, decode.d6.loss_dice: 1.0137, decode.d7.loss_cls: 0.6367, decode.d7.loss_mask: 0.7100, decode.d7.loss_dice: 1.0198, decode.d8.loss_cls: 0.6377, decode.d8.loss_mask: 0.7129, decode.d8.loss_dice: 1.0142, loss: 25.7374, grad_norm: 75.6972 2023-11-22 00:18:01,895 - mmseg - INFO - Iter [18500/160000] lr: 8.424e-06, eta: 23:16:27, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6356, decode.loss_mask: 0.6890, decode.loss_dice: 1.0394, decode.d0.loss_cls: 1.9936, decode.d0.loss_mask: 0.7101, decode.d0.loss_dice: 1.2252, decode.d1.loss_cls: 0.7989, decode.d1.loss_mask: 0.7172, decode.d1.loss_dice: 1.1164, decode.d2.loss_cls: 0.7030, decode.d2.loss_mask: 0.6948, decode.d2.loss_dice: 1.0668, decode.d3.loss_cls: 0.6675, decode.d3.loss_mask: 0.6917, decode.d3.loss_dice: 1.0383, decode.d4.loss_cls: 0.6614, decode.d4.loss_mask: 0.6925, decode.d4.loss_dice: 1.0354, decode.d5.loss_cls: 0.6542, decode.d5.loss_mask: 0.6893, decode.d5.loss_dice: 1.0387, decode.d6.loss_cls: 0.6457, decode.d6.loss_mask: 0.6848, decode.d6.loss_dice: 1.0335, decode.d7.loss_cls: 0.6415, decode.d7.loss_mask: 0.6866, decode.d7.loss_dice: 1.0273, decode.d8.loss_cls: 0.6391, decode.d8.loss_mask: 0.6889, decode.d8.loss_dice: 1.0303, loss: 25.6366, grad_norm: 75.1094 2023-11-22 00:18:30,529 - mmseg - INFO - Iter [18550/160000] lr: 8.421e-06, eta: 23:15:50, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6636, decode.loss_mask: 0.7031, decode.loss_dice: 1.0306, decode.d0.loss_cls: 1.9891, decode.d0.loss_mask: 0.7443, decode.d0.loss_dice: 1.2327, decode.d1.loss_cls: 0.8258, decode.d1.loss_mask: 0.7339, decode.d1.loss_dice: 1.1208, decode.d2.loss_cls: 0.7287, decode.d2.loss_mask: 0.7116, decode.d2.loss_dice: 1.0671, decode.d3.loss_cls: 0.6907, decode.d3.loss_mask: 0.7084, decode.d3.loss_dice: 1.0471, decode.d4.loss_cls: 0.6783, decode.d4.loss_mask: 0.7094, decode.d4.loss_dice: 1.0436, decode.d5.loss_cls: 0.6702, decode.d5.loss_mask: 0.7052, decode.d5.loss_dice: 1.0343, decode.d6.loss_cls: 0.6628, decode.d6.loss_mask: 0.7059, decode.d6.loss_dice: 1.0307, decode.d7.loss_cls: 0.6601, decode.d7.loss_mask: 0.7047, decode.d7.loss_dice: 1.0334, decode.d8.loss_cls: 0.6657, decode.d8.loss_mask: 0.7036, decode.d8.loss_dice: 1.0342, loss: 26.0396, grad_norm: 80.9763 2023-11-22 00:18:58,993 - mmseg - INFO - Iter [18600/160000] lr: 8.418e-06, eta: 23:15:12, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6520, decode.loss_mask: 0.7079, decode.loss_dice: 1.0133, decode.d0.loss_cls: 1.9762, decode.d0.loss_mask: 0.7433, decode.d0.loss_dice: 1.2048, decode.d1.loss_cls: 0.8010, decode.d1.loss_mask: 0.7318, decode.d1.loss_dice: 1.0968, decode.d2.loss_cls: 0.7128, decode.d2.loss_mask: 0.7243, decode.d2.loss_dice: 1.0515, decode.d3.loss_cls: 0.6867, decode.d3.loss_mask: 0.7105, decode.d3.loss_dice: 1.0233, decode.d4.loss_cls: 0.6708, decode.d4.loss_mask: 0.7091, decode.d4.loss_dice: 1.0329, decode.d5.loss_cls: 0.6624, decode.d5.loss_mask: 0.7115, decode.d5.loss_dice: 1.0230, decode.d6.loss_cls: 0.6542, decode.d6.loss_mask: 0.7066, decode.d6.loss_dice: 1.0138, decode.d7.loss_cls: 0.6510, decode.d7.loss_mask: 0.7102, decode.d7.loss_dice: 1.0179, decode.d8.loss_cls: 0.6488, decode.d8.loss_mask: 0.7120, decode.d8.loss_dice: 1.0205, loss: 25.7809, grad_norm: 77.5526 2023-11-22 00:19:27,304 - mmseg - INFO - Iter [18650/160000] lr: 8.415e-06, eta: 23:14:33, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6111, decode.loss_mask: 0.6965, decode.loss_dice: 0.9865, decode.d0.loss_cls: 1.9502, decode.d0.loss_mask: 0.7306, decode.d0.loss_dice: 1.1798, decode.d1.loss_cls: 0.7723, decode.d1.loss_mask: 0.7172, decode.d1.loss_dice: 1.0613, decode.d2.loss_cls: 0.6754, decode.d2.loss_mask: 0.6996, decode.d2.loss_dice: 1.0191, decode.d3.loss_cls: 0.6403, decode.d3.loss_mask: 0.6951, decode.d3.loss_dice: 0.9991, decode.d4.loss_cls: 0.6222, decode.d4.loss_mask: 0.6992, decode.d4.loss_dice: 1.0009, decode.d5.loss_cls: 0.6244, decode.d5.loss_mask: 0.6996, decode.d5.loss_dice: 0.9951, decode.d6.loss_cls: 0.6087, decode.d6.loss_mask: 0.6953, decode.d6.loss_dice: 0.9811, decode.d7.loss_cls: 0.6113, decode.d7.loss_mask: 0.6921, decode.d7.loss_dice: 0.9808, decode.d8.loss_cls: 0.6117, decode.d8.loss_mask: 0.6980, decode.d8.loss_dice: 0.9847, loss: 24.9389, grad_norm: 75.5731 2023-11-22 00:19:55,673 - mmseg - INFO - Iter [18700/160000] lr: 8.412e-06, eta: 23:13:54, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6449, decode.loss_mask: 0.7064, decode.loss_dice: 1.0212, decode.d0.loss_cls: 1.9530, decode.d0.loss_mask: 0.7432, decode.d0.loss_dice: 1.2064, decode.d1.loss_cls: 0.7832, decode.d1.loss_mask: 0.7425, decode.d1.loss_dice: 1.1023, decode.d2.loss_cls: 0.6950, decode.d2.loss_mask: 0.7230, decode.d2.loss_dice: 1.0671, decode.d3.loss_cls: 0.6724, decode.d3.loss_mask: 0.7148, decode.d3.loss_dice: 1.0328, decode.d4.loss_cls: 0.6637, decode.d4.loss_mask: 0.7103, decode.d4.loss_dice: 1.0344, decode.d5.loss_cls: 0.6595, decode.d5.loss_mask: 0.7039, decode.d5.loss_dice: 1.0367, decode.d6.loss_cls: 0.6480, decode.d6.loss_mask: 0.7067, decode.d6.loss_dice: 1.0312, decode.d7.loss_cls: 0.6454, decode.d7.loss_mask: 0.7027, decode.d7.loss_dice: 1.0241, decode.d8.loss_cls: 0.6460, decode.d8.loss_mask: 0.7079, decode.d8.loss_dice: 1.0226, loss: 25.7513, grad_norm: 79.2421 2023-11-22 00:20:24,123 - mmseg - INFO - Iter [18750/160000] lr: 8.409e-06, eta: 23:13:16, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6117, decode.loss_mask: 0.7042, decode.loss_dice: 1.0219, decode.d0.loss_cls: 1.9214, decode.d0.loss_mask: 0.7404, decode.d0.loss_dice: 1.2040, decode.d1.loss_cls: 0.7532, decode.d1.loss_mask: 0.7302, decode.d1.loss_dice: 1.1067, decode.d2.loss_cls: 0.6753, decode.d2.loss_mask: 0.7178, decode.d2.loss_dice: 1.0622, decode.d3.loss_cls: 0.6459, decode.d3.loss_mask: 0.7084, decode.d3.loss_dice: 1.0387, decode.d4.loss_cls: 0.6345, decode.d4.loss_mask: 0.7046, decode.d4.loss_dice: 1.0341, decode.d5.loss_cls: 0.6221, decode.d5.loss_mask: 0.7024, decode.d5.loss_dice: 1.0211, decode.d6.loss_cls: 0.6105, decode.d6.loss_mask: 0.7046, decode.d6.loss_dice: 1.0230, decode.d7.loss_cls: 0.6109, decode.d7.loss_mask: 0.7051, decode.d7.loss_dice: 1.0204, decode.d8.loss_cls: 0.6125, decode.d8.loss_mask: 0.7018, decode.d8.loss_dice: 1.0239, loss: 25.3735, grad_norm: 71.6103 2023-11-22 00:20:52,607 - mmseg - INFO - Iter [18800/160000] lr: 8.406e-06, eta: 23:12:38, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6250, decode.loss_mask: 0.7218, decode.loss_dice: 1.0194, decode.d0.loss_cls: 1.9121, decode.d0.loss_mask: 0.7501, decode.d0.loss_dice: 1.2067, decode.d1.loss_cls: 0.7740, decode.d1.loss_mask: 0.7379, decode.d1.loss_dice: 1.1093, decode.d2.loss_cls: 0.6769, decode.d2.loss_mask: 0.7192, decode.d2.loss_dice: 1.0646, decode.d3.loss_cls: 0.6504, decode.d3.loss_mask: 0.7191, decode.d3.loss_dice: 1.0373, decode.d4.loss_cls: 0.6385, decode.d4.loss_mask: 0.7184, decode.d4.loss_dice: 1.0360, decode.d5.loss_cls: 0.6352, decode.d5.loss_mask: 0.7140, decode.d5.loss_dice: 1.0292, decode.d6.loss_cls: 0.6264, decode.d6.loss_mask: 0.7184, decode.d6.loss_dice: 1.0218, decode.d7.loss_cls: 0.6226, decode.d7.loss_mask: 0.7201, decode.d7.loss_dice: 1.0202, decode.d8.loss_cls: 0.6302, decode.d8.loss_mask: 0.7198, decode.d8.loss_dice: 1.0221, loss: 25.5965, grad_norm: 75.3566 2023-11-22 00:21:21,044 - mmseg - INFO - Iter [18850/160000] lr: 8.403e-06, eta: 23:11:59, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6391, decode.loss_mask: 0.7191, decode.loss_dice: 1.0358, decode.d0.loss_cls: 1.9032, decode.d0.loss_mask: 0.7559, decode.d0.loss_dice: 1.2067, decode.d1.loss_cls: 0.7761, decode.d1.loss_mask: 0.7408, decode.d1.loss_dice: 1.1075, decode.d2.loss_cls: 0.6856, decode.d2.loss_mask: 0.7367, decode.d2.loss_dice: 1.0642, decode.d3.loss_cls: 0.6550, decode.d3.loss_mask: 0.7275, decode.d3.loss_dice: 1.0434, decode.d4.loss_cls: 0.6409, decode.d4.loss_mask: 0.7225, decode.d4.loss_dice: 1.0434, decode.d5.loss_cls: 0.6442, decode.d5.loss_mask: 0.7211, decode.d5.loss_dice: 1.0441, decode.d6.loss_cls: 0.6441, decode.d6.loss_mask: 0.7131, decode.d6.loss_dice: 1.0291, decode.d7.loss_cls: 0.6367, decode.d7.loss_mask: 0.7177, decode.d7.loss_dice: 1.0359, decode.d8.loss_cls: 0.6426, decode.d8.loss_mask: 0.7203, decode.d8.loss_dice: 1.0320, loss: 25.7842, grad_norm: 77.8078 2023-11-22 00:21:49,620 - mmseg - INFO - Iter [18900/160000] lr: 8.400e-06, eta: 23:11:22, time: 0.571, data_time: 0.015, memory: 38143, decode.loss_cls: 0.6340, decode.loss_mask: 0.7290, decode.loss_dice: 1.0207, decode.d0.loss_cls: 1.9048, decode.d0.loss_mask: 0.7755, decode.d0.loss_dice: 1.2088, decode.d1.loss_cls: 0.7577, decode.d1.loss_mask: 0.7600, decode.d1.loss_dice: 1.1016, decode.d2.loss_cls: 0.6733, decode.d2.loss_mask: 0.7423, decode.d2.loss_dice: 1.0499, decode.d3.loss_cls: 0.6481, decode.d3.loss_mask: 0.7311, decode.d3.loss_dice: 1.0312, decode.d4.loss_cls: 0.6396, decode.d4.loss_mask: 0.7331, decode.d4.loss_dice: 1.0321, decode.d5.loss_cls: 0.6392, decode.d5.loss_mask: 0.7344, decode.d5.loss_dice: 1.0200, decode.d6.loss_cls: 0.6299, decode.d6.loss_mask: 0.7323, decode.d6.loss_dice: 1.0240, decode.d7.loss_cls: 0.6321, decode.d7.loss_mask: 0.7325, decode.d7.loss_dice: 1.0186, decode.d8.loss_cls: 0.6283, decode.d8.loss_mask: 0.7333, decode.d8.loss_dice: 1.0152, loss: 25.7124, grad_norm: 81.3424 2023-11-22 00:22:20,498 - mmseg - INFO - Iter [18950/160000] lr: 8.397e-06, eta: 23:11:02, time: 0.618, data_time: 0.062, memory: 38143, decode.loss_cls: 0.6332, decode.loss_mask: 0.6792, decode.loss_dice: 1.0205, decode.d0.loss_cls: 2.0218, decode.d0.loss_mask: 0.7100, decode.d0.loss_dice: 1.2067, decode.d1.loss_cls: 0.7900, decode.d1.loss_mask: 0.7002, decode.d1.loss_dice: 1.0964, decode.d2.loss_cls: 0.6859, decode.d2.loss_mask: 0.6921, decode.d2.loss_dice: 1.0469, decode.d3.loss_cls: 0.6577, decode.d3.loss_mask: 0.6843, decode.d3.loss_dice: 1.0297, decode.d4.loss_cls: 0.6508, decode.d4.loss_mask: 0.6784, decode.d4.loss_dice: 1.0244, decode.d5.loss_cls: 0.6544, decode.d5.loss_mask: 0.6796, decode.d5.loss_dice: 1.0220, decode.d6.loss_cls: 0.6430, decode.d6.loss_mask: 0.6758, decode.d6.loss_dice: 1.0212, decode.d7.loss_cls: 0.6332, decode.d7.loss_mask: 0.6790, decode.d7.loss_dice: 1.0248, decode.d8.loss_cls: 0.6338, decode.d8.loss_mask: 0.6788, decode.d8.loss_dice: 1.0247, loss: 25.3784, grad_norm: 73.4110 2023-11-22 00:22:48,814 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 00:22:48,814 - mmseg - INFO - Iter [19000/160000] lr: 8.394e-06, eta: 23:10:23, time: 0.566, data_time: 0.012, memory: 38143, decode.loss_cls: 0.5765, decode.loss_mask: 0.6927, decode.loss_dice: 0.9952, decode.d0.loss_cls: 1.8455, decode.d0.loss_mask: 0.7306, decode.d0.loss_dice: 1.1604, decode.d1.loss_cls: 0.7248, decode.d1.loss_mask: 0.7162, decode.d1.loss_dice: 1.0661, decode.d2.loss_cls: 0.6271, decode.d2.loss_mask: 0.7018, decode.d2.loss_dice: 1.0327, decode.d3.loss_cls: 0.6032, decode.d3.loss_mask: 0.6891, decode.d3.loss_dice: 1.0039, decode.d4.loss_cls: 0.5861, decode.d4.loss_mask: 0.6963, decode.d4.loss_dice: 1.0071, decode.d5.loss_cls: 0.5801, decode.d5.loss_mask: 0.6933, decode.d5.loss_dice: 0.9988, decode.d6.loss_cls: 0.5783, decode.d6.loss_mask: 0.6934, decode.d6.loss_dice: 0.9993, decode.d7.loss_cls: 0.5762, decode.d7.loss_mask: 0.6950, decode.d7.loss_dice: 0.9978, decode.d8.loss_cls: 0.5766, decode.d8.loss_mask: 0.6931, decode.d8.loss_dice: 1.0015, loss: 24.5387, grad_norm: 78.6317 2023-11-22 00:23:17,465 - mmseg - INFO - Iter [19050/160000] lr: 8.391e-06, eta: 23:09:47, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6481, decode.loss_mask: 0.6721, decode.loss_dice: 1.0176, decode.d0.loss_cls: 1.9883, decode.d0.loss_mask: 0.7028, decode.d0.loss_dice: 1.2076, decode.d1.loss_cls: 0.8048, decode.d1.loss_mask: 0.6965, decode.d1.loss_dice: 1.0923, decode.d2.loss_cls: 0.7085, decode.d2.loss_mask: 0.6877, decode.d2.loss_dice: 1.0511, decode.d3.loss_cls: 0.6762, decode.d3.loss_mask: 0.6779, decode.d3.loss_dice: 1.0224, decode.d4.loss_cls: 0.6607, decode.d4.loss_mask: 0.6765, decode.d4.loss_dice: 1.0318, decode.d5.loss_cls: 0.6638, decode.d5.loss_mask: 0.6761, decode.d5.loss_dice: 1.0250, decode.d6.loss_cls: 0.6523, decode.d6.loss_mask: 0.6699, decode.d6.loss_dice: 1.0116, decode.d7.loss_cls: 0.6500, decode.d7.loss_mask: 0.6723, decode.d7.loss_dice: 1.0123, decode.d8.loss_cls: 0.6463, decode.d8.loss_mask: 0.6750, decode.d8.loss_dice: 1.0117, loss: 25.3890, grad_norm: 70.6429 2023-11-22 00:23:45,933 - mmseg - INFO - Iter [19100/160000] lr: 8.388e-06, eta: 23:09:09, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6510, decode.loss_mask: 0.6891, decode.loss_dice: 1.0050, decode.d0.loss_cls: 1.9837, decode.d0.loss_mask: 0.7346, decode.d0.loss_dice: 1.2033, decode.d1.loss_cls: 0.8023, decode.d1.loss_mask: 0.7210, decode.d1.loss_dice: 1.0849, decode.d2.loss_cls: 0.7078, decode.d2.loss_mask: 0.7057, decode.d2.loss_dice: 1.0381, decode.d3.loss_cls: 0.6771, decode.d3.loss_mask: 0.6942, decode.d3.loss_dice: 1.0099, decode.d4.loss_cls: 0.6658, decode.d4.loss_mask: 0.6958, decode.d4.loss_dice: 1.0150, decode.d5.loss_cls: 0.6595, decode.d5.loss_mask: 0.6925, decode.d5.loss_dice: 1.0152, decode.d6.loss_cls: 0.6601, decode.d6.loss_mask: 0.6928, decode.d6.loss_dice: 0.9956, decode.d7.loss_cls: 0.6487, decode.d7.loss_mask: 0.6945, decode.d7.loss_dice: 1.0040, decode.d8.loss_cls: 0.6530, decode.d8.loss_mask: 0.6920, decode.d8.loss_dice: 1.0044, loss: 25.4963, grad_norm: 73.3894 2023-11-22 00:24:14,491 - mmseg - INFO - Iter [19150/160000] lr: 8.385e-06, eta: 23:08:32, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6234, decode.loss_mask: 0.6908, decode.loss_dice: 1.0171, decode.d0.loss_cls: 1.9280, decode.d0.loss_mask: 0.7344, decode.d0.loss_dice: 1.2037, decode.d1.loss_cls: 0.7706, decode.d1.loss_mask: 0.7171, decode.d1.loss_dice: 1.1000, decode.d2.loss_cls: 0.6753, decode.d2.loss_mask: 0.7066, decode.d2.loss_dice: 1.0540, decode.d3.loss_cls: 0.6525, decode.d3.loss_mask: 0.6916, decode.d3.loss_dice: 1.0259, decode.d4.loss_cls: 0.6430, decode.d4.loss_mask: 0.6904, decode.d4.loss_dice: 1.0212, decode.d5.loss_cls: 0.6338, decode.d5.loss_mask: 0.6895, decode.d5.loss_dice: 1.0183, decode.d6.loss_cls: 0.6191, decode.d6.loss_mask: 0.6927, decode.d6.loss_dice: 1.0163, decode.d7.loss_cls: 0.6217, decode.d7.loss_mask: 0.6941, decode.d7.loss_dice: 1.0189, decode.d8.loss_cls: 0.6194, decode.d8.loss_mask: 0.6892, decode.d8.loss_dice: 1.0268, loss: 25.2855, grad_norm: 74.2071 2023-11-22 00:24:42,884 - mmseg - INFO - Iter [19200/160000] lr: 8.382e-06, eta: 23:07:54, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6077, decode.loss_mask: 0.6877, decode.loss_dice: 0.9884, decode.d0.loss_cls: 1.9025, decode.d0.loss_mask: 0.7235, decode.d0.loss_dice: 1.1689, decode.d1.loss_cls: 0.7600, decode.d1.loss_mask: 0.7150, decode.d1.loss_dice: 1.0657, decode.d2.loss_cls: 0.6678, decode.d2.loss_mask: 0.6981, decode.d2.loss_dice: 1.0174, decode.d3.loss_cls: 0.6409, decode.d3.loss_mask: 0.6922, decode.d3.loss_dice: 0.9951, decode.d4.loss_cls: 0.6297, decode.d4.loss_mask: 0.6897, decode.d4.loss_dice: 1.0037, decode.d5.loss_cls: 0.6208, decode.d5.loss_mask: 0.6835, decode.d5.loss_dice: 1.0001, decode.d6.loss_cls: 0.6193, decode.d6.loss_mask: 0.6868, decode.d6.loss_dice: 0.9864, decode.d7.loss_cls: 0.6114, decode.d7.loss_mask: 0.6888, decode.d7.loss_dice: 0.9932, decode.d8.loss_cls: 0.6108, decode.d8.loss_mask: 0.6888, decode.d8.loss_dice: 0.9906, loss: 24.8344, grad_norm: 79.8022 2023-11-22 00:25:11,252 - mmseg - INFO - Iter [19250/160000] lr: 8.379e-06, eta: 23:07:15, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6176, decode.loss_mask: 0.6984, decode.loss_dice: 1.0083, decode.d0.loss_cls: 1.9456, decode.d0.loss_mask: 0.7376, decode.d0.loss_dice: 1.1969, decode.d1.loss_cls: 0.7655, decode.d1.loss_mask: 0.7235, decode.d1.loss_dice: 1.0910, decode.d2.loss_cls: 0.6707, decode.d2.loss_mask: 0.7057, decode.d2.loss_dice: 1.0416, decode.d3.loss_cls: 0.6496, decode.d3.loss_mask: 0.7014, decode.d3.loss_dice: 1.0172, decode.d4.loss_cls: 0.6311, decode.d4.loss_mask: 0.7012, decode.d4.loss_dice: 1.0160, decode.d5.loss_cls: 0.6333, decode.d5.loss_mask: 0.6977, decode.d5.loss_dice: 1.0085, decode.d6.loss_cls: 0.6246, decode.d6.loss_mask: 0.6999, decode.d6.loss_dice: 1.0021, decode.d7.loss_cls: 0.6179, decode.d7.loss_mask: 0.6987, decode.d7.loss_dice: 1.0091, decode.d8.loss_cls: 0.6174, decode.d8.loss_mask: 0.7006, decode.d8.loss_dice: 1.0070, loss: 25.2357, grad_norm: 73.3572 2023-11-22 00:25:39,501 - mmseg - INFO - Iter [19300/160000] lr: 8.376e-06, eta: 23:06:36, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6076, decode.loss_mask: 0.6894, decode.loss_dice: 0.9831, decode.d0.loss_cls: 1.9194, decode.d0.loss_mask: 0.7316, decode.d0.loss_dice: 1.1769, decode.d1.loss_cls: 0.7553, decode.d1.loss_mask: 0.7222, decode.d1.loss_dice: 1.0724, decode.d2.loss_cls: 0.6571, decode.d2.loss_mask: 0.6998, decode.d2.loss_dice: 1.0166, decode.d3.loss_cls: 0.6242, decode.d3.loss_mask: 0.6939, decode.d3.loss_dice: 0.9947, decode.d4.loss_cls: 0.6188, decode.d4.loss_mask: 0.6937, decode.d4.loss_dice: 0.9994, decode.d5.loss_cls: 0.6161, decode.d5.loss_mask: 0.6915, decode.d5.loss_dice: 0.9838, decode.d6.loss_cls: 0.6099, decode.d6.loss_mask: 0.6927, decode.d6.loss_dice: 0.9825, decode.d7.loss_cls: 0.6088, decode.d7.loss_mask: 0.6923, decode.d7.loss_dice: 0.9872, decode.d8.loss_cls: 0.6027, decode.d8.loss_mask: 0.6930, decode.d8.loss_dice: 0.9823, loss: 24.7989, grad_norm: 73.3250 2023-11-22 00:26:07,961 - mmseg - INFO - Iter [19350/160000] lr: 8.373e-06, eta: 23:05:59, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6111, decode.loss_mask: 0.6939, decode.loss_dice: 1.0114, decode.d0.loss_cls: 1.8704, decode.d0.loss_mask: 0.7279, decode.d0.loss_dice: 1.1795, decode.d1.loss_cls: 0.7489, decode.d1.loss_mask: 0.7197, decode.d1.loss_dice: 1.0916, decode.d2.loss_cls: 0.6639, decode.d2.loss_mask: 0.6988, decode.d2.loss_dice: 1.0479, decode.d3.loss_cls: 0.6345, decode.d3.loss_mask: 0.6924, decode.d3.loss_dice: 1.0181, decode.d4.loss_cls: 0.6304, decode.d4.loss_mask: 0.6903, decode.d4.loss_dice: 1.0155, decode.d5.loss_cls: 0.6160, decode.d5.loss_mask: 0.6909, decode.d5.loss_dice: 1.0147, decode.d6.loss_cls: 0.6186, decode.d6.loss_mask: 0.6922, decode.d6.loss_dice: 1.0125, decode.d7.loss_cls: 0.6146, decode.d7.loss_mask: 0.6949, decode.d7.loss_dice: 1.0120, decode.d8.loss_cls: 0.6142, decode.d8.loss_mask: 0.6913, decode.d8.loss_dice: 1.0132, loss: 25.0312, grad_norm: 74.5034 2023-11-22 00:26:36,381 - mmseg - INFO - Iter [19400/160000] lr: 8.370e-06, eta: 23:05:21, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6088, decode.loss_mask: 0.6951, decode.loss_dice: 0.9890, decode.d0.loss_cls: 1.9173, decode.d0.loss_mask: 0.7332, decode.d0.loss_dice: 1.1702, decode.d1.loss_cls: 0.7696, decode.d1.loss_mask: 0.7236, decode.d1.loss_dice: 1.0674, decode.d2.loss_cls: 0.6788, decode.d2.loss_mask: 0.7091, decode.d2.loss_dice: 1.0196, decode.d3.loss_cls: 0.6448, decode.d3.loss_mask: 0.7027, decode.d3.loss_dice: 1.0005, decode.d4.loss_cls: 0.6330, decode.d4.loss_mask: 0.7068, decode.d4.loss_dice: 1.0020, decode.d5.loss_cls: 0.6209, decode.d5.loss_mask: 0.7079, decode.d5.loss_dice: 0.9960, decode.d6.loss_cls: 0.6077, decode.d6.loss_mask: 0.7061, decode.d6.loss_dice: 0.9866, decode.d7.loss_cls: 0.6126, decode.d7.loss_mask: 0.7037, decode.d7.loss_dice: 0.9821, decode.d8.loss_cls: 0.6099, decode.d8.loss_mask: 0.6996, decode.d8.loss_dice: 0.9877, loss: 24.9923, grad_norm: 76.4660 2023-11-22 00:27:04,864 - mmseg - INFO - Iter [19450/160000] lr: 8.367e-06, eta: 23:04:43, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6236, decode.loss_mask: 0.7049, decode.loss_dice: 1.0227, decode.d0.loss_cls: 1.9247, decode.d0.loss_mask: 0.7394, decode.d0.loss_dice: 1.2126, decode.d1.loss_cls: 0.7713, decode.d1.loss_mask: 0.7317, decode.d1.loss_dice: 1.1081, decode.d2.loss_cls: 0.6840, decode.d2.loss_mask: 0.7219, decode.d2.loss_dice: 1.0602, decode.d3.loss_cls: 0.6461, decode.d3.loss_mask: 0.7118, decode.d3.loss_dice: 1.0368, decode.d4.loss_cls: 0.6431, decode.d4.loss_mask: 0.7103, decode.d4.loss_dice: 1.0317, decode.d5.loss_cls: 0.6392, decode.d5.loss_mask: 0.7077, decode.d5.loss_dice: 1.0292, decode.d6.loss_cls: 0.6334, decode.d6.loss_mask: 0.7087, decode.d6.loss_dice: 1.0193, decode.d7.loss_cls: 0.6279, decode.d7.loss_mask: 0.7085, decode.d7.loss_dice: 1.0230, decode.d8.loss_cls: 0.6284, decode.d8.loss_mask: 0.7060, decode.d8.loss_dice: 1.0315, loss: 25.5478, grad_norm: 76.0582 2023-11-22 00:27:33,330 - mmseg - INFO - Iter [19500/160000] lr: 8.364e-06, eta: 23:04:06, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6342, decode.loss_mask: 0.6983, decode.loss_dice: 1.0012, decode.d0.loss_cls: 1.9659, decode.d0.loss_mask: 0.7303, decode.d0.loss_dice: 1.2023, decode.d1.loss_cls: 0.7772, decode.d1.loss_mask: 0.7253, decode.d1.loss_dice: 1.0858, decode.d2.loss_cls: 0.6935, decode.d2.loss_mask: 0.7023, decode.d2.loss_dice: 1.0284, decode.d3.loss_cls: 0.6598, decode.d3.loss_mask: 0.7043, decode.d3.loss_dice: 1.0086, decode.d4.loss_cls: 0.6536, decode.d4.loss_mask: 0.7052, decode.d4.loss_dice: 1.0103, decode.d5.loss_cls: 0.6485, decode.d5.loss_mask: 0.6944, decode.d5.loss_dice: 1.0065, decode.d6.loss_cls: 0.6357, decode.d6.loss_mask: 0.6979, decode.d6.loss_dice: 0.9976, decode.d7.loss_cls: 0.6395, decode.d7.loss_mask: 0.6995, decode.d7.loss_dice: 0.9965, decode.d8.loss_cls: 0.6339, decode.d8.loss_mask: 0.6991, decode.d8.loss_dice: 1.0015, loss: 25.3372, grad_norm: 74.3741 2023-11-22 00:28:01,723 - mmseg - INFO - Iter [19550/160000] lr: 8.361e-06, eta: 23:03:28, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6127, decode.loss_mask: 0.6801, decode.loss_dice: 1.0099, decode.d0.loss_cls: 1.9317, decode.d0.loss_mask: 0.7138, decode.d0.loss_dice: 1.1890, decode.d1.loss_cls: 0.7537, decode.d1.loss_mask: 0.7133, decode.d1.loss_dice: 1.0744, decode.d2.loss_cls: 0.6721, decode.d2.loss_mask: 0.6960, decode.d2.loss_dice: 1.0315, decode.d3.loss_cls: 0.6288, decode.d3.loss_mask: 0.6851, decode.d3.loss_dice: 1.0125, decode.d4.loss_cls: 0.6240, decode.d4.loss_mask: 0.6871, decode.d4.loss_dice: 1.0130, decode.d5.loss_cls: 0.6118, decode.d5.loss_mask: 0.6862, decode.d5.loss_dice: 1.0123, decode.d6.loss_cls: 0.6219, decode.d6.loss_mask: 0.6815, decode.d6.loss_dice: 1.0019, decode.d7.loss_cls: 0.6133, decode.d7.loss_mask: 0.6834, decode.d7.loss_dice: 1.0084, decode.d8.loss_cls: 0.6119, decode.d8.loss_mask: 0.6813, decode.d8.loss_dice: 1.0069, loss: 24.9493, grad_norm: 70.1489 2023-11-22 00:28:30,232 - mmseg - INFO - Iter [19600/160000] lr: 8.358e-06, eta: 23:02:51, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6295, decode.loss_mask: 0.6735, decode.loss_dice: 0.9698, decode.d0.loss_cls: 1.9405, decode.d0.loss_mask: 0.7218, decode.d0.loss_dice: 1.1824, decode.d1.loss_cls: 0.7776, decode.d1.loss_mask: 0.6987, decode.d1.loss_dice: 1.0623, decode.d2.loss_cls: 0.6936, decode.d2.loss_mask: 0.6846, decode.d2.loss_dice: 1.0104, decode.d3.loss_cls: 0.6528, decode.d3.loss_mask: 0.6824, decode.d3.loss_dice: 0.9858, decode.d4.loss_cls: 0.6427, decode.d4.loss_mask: 0.6813, decode.d4.loss_dice: 0.9776, decode.d5.loss_cls: 0.6384, decode.d5.loss_mask: 0.6769, decode.d5.loss_dice: 0.9833, decode.d6.loss_cls: 0.6354, decode.d6.loss_mask: 0.6728, decode.d6.loss_dice: 0.9700, decode.d7.loss_cls: 0.6357, decode.d7.loss_mask: 0.6683, decode.d7.loss_dice: 0.9623, decode.d8.loss_cls: 0.6352, decode.d8.loss_mask: 0.6751, decode.d8.loss_dice: 0.9667, loss: 24.7874, grad_norm: 75.3938 2023-11-22 00:28:58,801 - mmseg - INFO - Iter [19650/160000] lr: 8.355e-06, eta: 23:02:15, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6015, decode.loss_mask: 0.6949, decode.loss_dice: 0.9695, decode.d0.loss_cls: 1.8755, decode.d0.loss_mask: 0.7378, decode.d0.loss_dice: 1.1736, decode.d1.loss_cls: 0.7495, decode.d1.loss_mask: 0.7249, decode.d1.loss_dice: 1.0581, decode.d2.loss_cls: 0.6627, decode.d2.loss_mask: 0.7046, decode.d2.loss_dice: 1.0070, decode.d3.loss_cls: 0.6323, decode.d3.loss_mask: 0.7004, decode.d3.loss_dice: 0.9865, decode.d4.loss_cls: 0.6173, decode.d4.loss_mask: 0.6984, decode.d4.loss_dice: 0.9881, decode.d5.loss_cls: 0.6163, decode.d5.loss_mask: 0.7004, decode.d5.loss_dice: 0.9816, decode.d6.loss_cls: 0.6063, decode.d6.loss_mask: 0.6939, decode.d6.loss_dice: 0.9721, decode.d7.loss_cls: 0.6072, decode.d7.loss_mask: 0.6903, decode.d7.loss_dice: 0.9713, decode.d8.loss_cls: 0.5988, decode.d8.loss_mask: 0.6943, decode.d8.loss_dice: 0.9780, loss: 24.6930, grad_norm: 75.9000 2023-11-22 00:29:27,246 - mmseg - INFO - Iter [19700/160000] lr: 8.352e-06, eta: 23:01:37, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6374, decode.loss_mask: 0.7072, decode.loss_dice: 1.0427, decode.d0.loss_cls: 1.9501, decode.d0.loss_mask: 0.7367, decode.d0.loss_dice: 1.2305, decode.d1.loss_cls: 0.8001, decode.d1.loss_mask: 0.7283, decode.d1.loss_dice: 1.1234, decode.d2.loss_cls: 0.7008, decode.d2.loss_mask: 0.7121, decode.d2.loss_dice: 1.0750, decode.d3.loss_cls: 0.6686, decode.d3.loss_mask: 0.7071, decode.d3.loss_dice: 1.0516, decode.d4.loss_cls: 0.6562, decode.d4.loss_mask: 0.7092, decode.d4.loss_dice: 1.0509, decode.d5.loss_cls: 0.6587, decode.d5.loss_mask: 0.7051, decode.d5.loss_dice: 1.0455, decode.d6.loss_cls: 0.6483, decode.d6.loss_mask: 0.7049, decode.d6.loss_dice: 1.0479, decode.d7.loss_cls: 0.6390, decode.d7.loss_mask: 0.7103, decode.d7.loss_dice: 1.0454, decode.d8.loss_cls: 0.6374, decode.d8.loss_mask: 0.7132, decode.d8.loss_dice: 1.0468, loss: 25.8909, grad_norm: 74.9801 2023-11-22 00:29:55,719 - mmseg - INFO - Iter [19750/160000] lr: 8.349e-06, eta: 23:01:00, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6458, decode.loss_mask: 0.6779, decode.loss_dice: 0.9961, decode.d0.loss_cls: 1.9521, decode.d0.loss_mask: 0.7114, decode.d0.loss_dice: 1.1957, decode.d1.loss_cls: 0.7812, decode.d1.loss_mask: 0.7020, decode.d1.loss_dice: 1.0828, decode.d2.loss_cls: 0.6896, decode.d2.loss_mask: 0.6906, decode.d2.loss_dice: 1.0412, decode.d3.loss_cls: 0.6607, decode.d3.loss_mask: 0.6809, decode.d3.loss_dice: 1.0130, decode.d4.loss_cls: 0.6527, decode.d4.loss_mask: 0.6793, decode.d4.loss_dice: 1.0158, decode.d5.loss_cls: 0.6565, decode.d5.loss_mask: 0.6816, decode.d5.loss_dice: 1.0051, decode.d6.loss_cls: 0.6466, decode.d6.loss_mask: 0.6769, decode.d6.loss_dice: 0.9923, decode.d7.loss_cls: 0.6447, decode.d7.loss_mask: 0.6755, decode.d7.loss_dice: 1.0026, decode.d8.loss_cls: 0.6376, decode.d8.loss_mask: 0.6772, decode.d8.loss_dice: 1.0036, loss: 25.1687, grad_norm: 71.4830 2023-11-22 00:30:24,243 - mmseg - INFO - Iter [19800/160000] lr: 8.346e-06, eta: 23:00:23, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6214, decode.loss_mask: 0.6886, decode.loss_dice: 0.9926, decode.d0.loss_cls: 1.9113, decode.d0.loss_mask: 0.7181, decode.d0.loss_dice: 1.1750, decode.d1.loss_cls: 0.7794, decode.d1.loss_mask: 0.7148, decode.d1.loss_dice: 1.0699, decode.d2.loss_cls: 0.6739, decode.d2.loss_mask: 0.7021, decode.d2.loss_dice: 1.0346, decode.d3.loss_cls: 0.6485, decode.d3.loss_mask: 0.6929, decode.d3.loss_dice: 1.0101, decode.d4.loss_cls: 0.6349, decode.d4.loss_mask: 0.6946, decode.d4.loss_dice: 1.0116, decode.d5.loss_cls: 0.6335, decode.d5.loss_mask: 0.6888, decode.d5.loss_dice: 1.0006, decode.d6.loss_cls: 0.6271, decode.d6.loss_mask: 0.6869, decode.d6.loss_dice: 0.9902, decode.d7.loss_cls: 0.6214, decode.d7.loss_mask: 0.6862, decode.d7.loss_dice: 0.9951, decode.d8.loss_cls: 0.6260, decode.d8.loss_mask: 0.6885, decode.d8.loss_dice: 0.9936, loss: 25.0123, grad_norm: 75.2097 2023-11-22 00:30:52,633 - mmseg - INFO - Iter [19850/160000] lr: 8.343e-06, eta: 22:59:46, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6218, decode.loss_mask: 0.6788, decode.loss_dice: 0.9866, decode.d0.loss_cls: 1.9631, decode.d0.loss_mask: 0.7195, decode.d0.loss_dice: 1.1721, decode.d1.loss_cls: 0.7708, decode.d1.loss_mask: 0.7028, decode.d1.loss_dice: 1.0778, decode.d2.loss_cls: 0.6848, decode.d2.loss_mask: 0.6860, decode.d2.loss_dice: 1.0229, decode.d3.loss_cls: 0.6515, decode.d3.loss_mask: 0.6778, decode.d3.loss_dice: 1.0015, decode.d4.loss_cls: 0.6330, decode.d4.loss_mask: 0.6848, decode.d4.loss_dice: 1.0061, decode.d5.loss_cls: 0.6289, decode.d5.loss_mask: 0.6785, decode.d5.loss_dice: 0.9982, decode.d6.loss_cls: 0.6244, decode.d6.loss_mask: 0.6803, decode.d6.loss_dice: 0.9875, decode.d7.loss_cls: 0.6217, decode.d7.loss_mask: 0.6833, decode.d7.loss_dice: 0.9867, decode.d8.loss_cls: 0.6201, decode.d8.loss_mask: 0.6850, decode.d8.loss_dice: 0.9932, loss: 24.9297, grad_norm: 73.4765 2023-11-22 00:31:21,003 - mmseg - INFO - Iter [19900/160000] lr: 8.340e-06, eta: 22:59:08, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5983, decode.loss_mask: 0.6934, decode.loss_dice: 0.9806, decode.d0.loss_cls: 1.8986, decode.d0.loss_mask: 0.7367, decode.d0.loss_dice: 1.1660, decode.d1.loss_cls: 0.7284, decode.d1.loss_mask: 0.7314, decode.d1.loss_dice: 1.0709, decode.d2.loss_cls: 0.6499, decode.d2.loss_mask: 0.7103, decode.d2.loss_dice: 1.0234, decode.d3.loss_cls: 0.6247, decode.d3.loss_mask: 0.6956, decode.d3.loss_dice: 0.9994, decode.d4.loss_cls: 0.6151, decode.d4.loss_mask: 0.6914, decode.d4.loss_dice: 0.9954, decode.d5.loss_cls: 0.6131, decode.d5.loss_mask: 0.6942, decode.d5.loss_dice: 0.9901, decode.d6.loss_cls: 0.6037, decode.d6.loss_mask: 0.6905, decode.d6.loss_dice: 0.9799, decode.d7.loss_cls: 0.5959, decode.d7.loss_mask: 0.6956, decode.d7.loss_dice: 0.9824, decode.d8.loss_cls: 0.5962, decode.d8.loss_mask: 0.6895, decode.d8.loss_dice: 0.9862, loss: 24.7272, grad_norm: 71.2487 2023-11-22 00:31:49,563 - mmseg - INFO - Iter [19950/160000] lr: 8.337e-06, eta: 22:58:31, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6096, decode.loss_mask: 0.7014, decode.loss_dice: 0.9801, decode.d0.loss_cls: 1.8775, decode.d0.loss_mask: 0.7480, decode.d0.loss_dice: 1.1761, decode.d1.loss_cls: 0.7456, decode.d1.loss_mask: 0.7428, decode.d1.loss_dice: 1.0693, decode.d2.loss_cls: 0.6662, decode.d2.loss_mask: 0.7151, decode.d2.loss_dice: 1.0238, decode.d3.loss_cls: 0.6361, decode.d3.loss_mask: 0.7127, decode.d3.loss_dice: 1.0056, decode.d4.loss_cls: 0.6217, decode.d4.loss_mask: 0.7122, decode.d4.loss_dice: 1.0032, decode.d5.loss_cls: 0.6107, decode.d5.loss_mask: 0.7127, decode.d5.loss_dice: 0.9958, decode.d6.loss_cls: 0.6140, decode.d6.loss_mask: 0.7048, decode.d6.loss_dice: 0.9791, decode.d7.loss_cls: 0.6063, decode.d7.loss_mask: 0.7052, decode.d7.loss_dice: 0.9879, decode.d8.loss_cls: 0.6070, decode.d8.loss_mask: 0.7050, decode.d8.loss_dice: 0.9895, loss: 24.9650, grad_norm: 79.7555 2023-11-22 00:32:18,128 - mmseg - INFO - Saving checkpoint at 20000 iterations 2023-11-22 00:32:25,959 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 00:32:25,959 - mmseg - INFO - Iter [20000/160000] lr: 8.334e-06, eta: 22:58:50, time: 0.728, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6350, decode.loss_mask: 0.7054, decode.loss_dice: 0.9962, decode.d0.loss_cls: 1.9563, decode.d0.loss_mask: 0.7415, decode.d0.loss_dice: 1.2046, decode.d1.loss_cls: 0.7825, decode.d1.loss_mask: 0.7284, decode.d1.loss_dice: 1.0796, decode.d2.loss_cls: 0.6984, decode.d2.loss_mask: 0.7135, decode.d2.loss_dice: 1.0376, decode.d3.loss_cls: 0.6622, decode.d3.loss_mask: 0.7068, decode.d3.loss_dice: 1.0109, decode.d4.loss_cls: 0.6642, decode.d4.loss_mask: 0.7059, decode.d4.loss_dice: 1.0027, decode.d5.loss_cls: 0.6476, decode.d5.loss_mask: 0.6996, decode.d5.loss_dice: 1.0036, decode.d6.loss_cls: 0.6431, decode.d6.loss_mask: 0.6995, decode.d6.loss_dice: 0.9968, decode.d7.loss_cls: 0.6374, decode.d7.loss_mask: 0.7039, decode.d7.loss_dice: 1.0068, decode.d8.loss_cls: 0.6391, decode.d8.loss_mask: 0.7038, decode.d8.loss_dice: 1.0043, loss: 25.4172, grad_norm: 75.9895 2023-11-22 00:32:45,493 - mmseg - INFO - per class results: 2023-11-22 00:32:45,498 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.13 | 88.14 | | building | 83.64 | 92.53 | | sky | 94.89 | 97.37 | | floor | 83.28 | 91.11 | | tree | 76.73 | 85.03 | | ceiling | 85.51 | 93.72 | | road | 85.5 | 92.44 | | bed | 91.91 | 95.56 | | windowpane | 62.6 | 80.08 | | grass | 61.59 | 71.51 | | cabinet | 60.59 | 78.52 | | sidewalk | 68.18 | 82.68 | | person | 85.75 | 92.57 | | earth | 38.04 | 49.22 | | door | 50.66 | 73.39 | | table | 65.33 | 80.11 | | mountain | 62.39 | 80.0 | | plant | 52.53 | 76.65 | | curtain | 75.4 | 89.9 | | chair | 60.58 | 70.04 | | car | 87.54 | 93.14 | | water | 47.43 | 63.58 | | painting | 71.9 | 89.58 | | sofa | 75.52 | 91.25 | | shelf | 43.42 | 58.51 | | house | 32.49 | 38.28 | | sea | 59.83 | 90.67 | | mirror | 71.36 | 88.3 | | rug | 63.17 | 74.71 | | field | 23.74 | 57.84 | | armchair | 45.3 | 64.54 | | seat | 64.4 | 74.84 | | fence | 45.48 | 57.79 | | desk | 46.19 | 68.1 | | rock | 39.87 | 48.88 | | wardrobe | 46.67 | 68.18 | | lamp | 70.0 | 82.27 | | bathtub | 77.61 | 85.0 | | railing | 36.24 | 52.75 | | cushion | 65.95 | 76.97 | | base | 20.3 | 24.79 | | box | 34.87 | 56.28 | | column | 55.14 | 65.87 | | signboard | 38.77 | 60.94 | | chest of drawers | 37.66 | 59.68 | | counter | 26.29 | 39.81 | | sand | 32.98 | 45.11 | | sink | 74.98 | 83.88 | | skyscraper | 34.54 | 42.6 | | fireplace | 73.4 | 90.39 | | refrigerator | 80.15 | 91.13 | | grandstand | 57.2 | 64.16 | | path | 15.8 | 24.58 | | stairs | 35.82 | 45.84 | | runway | 62.24 | 71.63 | | case | 61.76 | 76.91 | | pool table | 94.23 | 96.73 | | pillow | 64.84 | 86.08 | | screen door | 65.31 | 67.61 | | stairway | 24.23 | 45.66 | | river | 9.42 | 11.77 | | bridge | 72.71 | 84.55 | | bookcase | 30.37 | 48.02 | | blind | 43.46 | 48.51 | | coffee table | 66.98 | 81.5 | | toilet | 88.23 | 91.4 | | flower | 39.68 | 60.96 | | book | 53.05 | 73.51 | | hill | 6.82 | 8.95 | | bench | 57.68 | 83.44 | | countertop | 60.6 | 76.95 | | stove | 70.57 | 85.53 | | palm | 55.2 | 80.22 | | kitchen island | 43.94 | 66.4 | | computer | 76.43 | 87.06 | | swivel chair | 52.41 | 81.91 | | boat | 75.07 | 93.44 | | bar | 19.71 | 22.9 | | arcade machine | 46.42 | 48.72 | | hovel | 30.05 | 48.74 | | bus | 91.78 | 94.85 | | towel | 69.83 | 93.36 | | light | 59.63 | 77.69 | | truck | 40.61 | 57.31 | | tower | 14.67 | 23.25 | | chandelier | 64.61 | 78.44 | | awning | 37.27 | 58.41 | | streetlight | 41.61 | 60.62 | | booth | 36.96 | 37.2 | | television receiver | 74.42 | 83.07 | | airplane | 61.63 | 67.76 | | dirt track | 0.0 | 0.0 | | apparel | 32.91 | 47.18 | | pole | 33.31 | 54.08 | | land | 0.02 | 0.02 | | bannister | 14.51 | 28.66 | | escalator | 0.0 | 0.0 | | ottoman | 49.91 | 73.6 | | bottle | 30.91 | 44.77 | | buffet | 32.69 | 39.08 | | poster | 30.76 | 47.69 | | stage | 13.24 | 17.72 | | van | 44.5 | 75.93 | | ship | 3.01 | 3.02 | | fountain | 17.33 | 21.76 | | conveyer belt | 69.92 | 90.6 | | canopy | 36.07 | 44.5 | | washer | 70.13 | 73.75 | | plaything | 33.15 | 53.28 | | swimming pool | 23.01 | 45.71 | | stool | 46.06 | 66.91 | | barrel | 73.92 | 86.81 | | basket | 39.92 | 62.44 | | waterfall | 42.2 | 55.64 | | tent | 96.01 | 98.45 | | bag | 25.04 | 34.42 | | minibike | 69.94 | 88.26 | | cradle | 79.24 | 85.44 | | oven | 12.73 | 16.52 | | ball | 40.99 | 79.03 | | food | 63.25 | 79.87 | | step | 24.72 | 34.94 | | tank | 36.53 | 43.91 | | trade name | 24.33 | 29.68 | | microwave | 84.82 | 95.55 | | pot | 56.47 | 74.41 | | animal | 70.28 | 72.3 | | bicycle | 59.51 | 88.18 | | lake | 0.0 | 0.0 | | dishwasher | 70.8 | 81.31 | | screen | 37.14 | 90.25 | | blanket | 49.2 | 58.43 | | sculpture | 46.27 | 89.8 | | hood | 63.5 | 75.22 | | sconce | 56.74 | 73.93 | | vase | 48.58 | 79.68 | | traffic light | 43.42 | 71.23 | | tray | 21.46 | 42.46 | | ashcan | 43.22 | 65.27 | | fan | 68.44 | 84.47 | | pier | 24.35 | 40.06 | | crt screen | 7.7 | 9.07 | | plate | 61.11 | 75.63 | | monitor | 2.23 | 2.57 | | bulletin board | 21.77 | 22.98 | | shower | 17.76 | 22.96 | | radiator | 62.54 | 75.84 | | glass | 26.1 | 29.76 | | clock | 37.97 | 45.09 | | flag | 69.49 | 85.32 | +---------------------+-------+-------+ 2023-11-22 00:32:45,498 - mmseg - INFO - Summary: 2023-11-22 00:32:45,498 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.75 | 49.89 | 63.45 | +-------+-------+-------+ 2023-11-22 00:32:45,798 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_l_640_160k_ade20k_ss/best_mIoU_iter_18000.pth was removed 2023-11-22 00:32:53,308 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_20000.pth. 2023-11-22 00:32:53,308 - mmseg - INFO - Best mIoU is 0.4989 at 20000 iter. 2023-11-22 00:32:53,308 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 00:32:53,309 - mmseg - INFO - Iter(val) [250] aAcc: 0.8375, mIoU: 0.4989, mAcc: 0.6345, IoU.wall: 0.8013, IoU.building: 0.8364, IoU.sky: 0.9489, IoU.floor: 0.8328, IoU.tree: 0.7673, IoU.ceiling: 0.8551, IoU.road: 0.8550, IoU.bed : 0.9191, IoU.windowpane: 0.6260, IoU.grass: 0.6159, IoU.cabinet: 0.6059, IoU.sidewalk: 0.6818, IoU.person: 0.8575, IoU.earth: 0.3804, IoU.door: 0.5066, IoU.table: 0.6533, IoU.mountain: 0.6239, IoU.plant: 0.5253, IoU.curtain: 0.7540, IoU.chair: 0.6058, IoU.car: 0.8754, IoU.water: 0.4743, IoU.painting: 0.7190, IoU.sofa: 0.7552, IoU.shelf: 0.4342, IoU.house: 0.3249, IoU.sea: 0.5983, IoU.mirror: 0.7136, IoU.rug: 0.6317, IoU.field: 0.2374, IoU.armchair: 0.4530, IoU.seat: 0.6440, IoU.fence: 0.4548, IoU.desk: 0.4619, IoU.rock: 0.3987, IoU.wardrobe: 0.4667, IoU.lamp: 0.7000, IoU.bathtub: 0.7761, IoU.railing: 0.3624, IoU.cushion: 0.6595, IoU.base: 0.2030, IoU.box: 0.3487, IoU.column: 0.5514, IoU.signboard: 0.3877, IoU.chest of drawers: 0.3766, IoU.counter: 0.2629, IoU.sand: 0.3298, IoU.sink: 0.7498, IoU.skyscraper: 0.3454, IoU.fireplace: 0.7340, IoU.refrigerator: 0.8015, IoU.grandstand: 0.5720, IoU.path: 0.1580, IoU.stairs: 0.3582, IoU.runway: 0.6224, IoU.case: 0.6176, IoU.pool table: 0.9423, IoU.pillow: 0.6484, IoU.screen door: 0.6531, IoU.stairway: 0.2423, IoU.river: 0.0942, IoU.bridge: 0.7271, IoU.bookcase: 0.3037, IoU.blind: 0.4346, IoU.coffee table: 0.6698, IoU.toilet: 0.8823, IoU.flower: 0.3968, IoU.book: 0.5305, IoU.hill: 0.0682, IoU.bench: 0.5768, IoU.countertop: 0.6060, IoU.stove: 0.7057, IoU.palm: 0.5520, IoU.kitchen island: 0.4394, IoU.computer: 0.7643, IoU.swivel chair: 0.5241, IoU.boat: 0.7507, IoU.bar: 0.1971, IoU.arcade machine: 0.4642, IoU.hovel: 0.3005, IoU.bus: 0.9178, IoU.towel: 0.6983, IoU.light: 0.5963, IoU.truck: 0.4061, IoU.tower: 0.1467, IoU.chandelier: 0.6461, IoU.awning: 0.3727, IoU.streetlight: 0.4161, IoU.booth: 0.3696, IoU.television receiver: 0.7442, IoU.airplane: 0.6163, IoU.dirt track: 0.0000, IoU.apparel: 0.3291, IoU.pole: 0.3331, IoU.land: 0.0002, IoU.bannister: 0.1451, IoU.escalator: 0.0000, IoU.ottoman: 0.4991, IoU.bottle: 0.3091, IoU.buffet: 0.3269, IoU.poster: 0.3076, IoU.stage: 0.1324, IoU.van: 0.4450, IoU.ship: 0.0301, IoU.fountain: 0.1733, IoU.conveyer belt: 0.6992, IoU.canopy: 0.3607, IoU.washer: 0.7013, IoU.plaything: 0.3315, IoU.swimming pool: 0.2301, IoU.stool: 0.4606, IoU.barrel: 0.7392, IoU.basket: 0.3992, IoU.waterfall: 0.4220, IoU.tent: 0.9601, IoU.bag: 0.2504, IoU.minibike: 0.6994, IoU.cradle: 0.7924, IoU.oven: 0.1273, IoU.ball: 0.4099, IoU.food: 0.6325, IoU.step: 0.2472, IoU.tank: 0.3653, IoU.trade name: 0.2433, IoU.microwave: 0.8482, IoU.pot: 0.5647, IoU.animal: 0.7028, IoU.bicycle: 0.5951, IoU.lake: 0.0000, IoU.dishwasher: 0.7080, IoU.screen: 0.3714, IoU.blanket: 0.4920, IoU.sculpture: 0.4627, IoU.hood: 0.6350, IoU.sconce: 0.5674, IoU.vase: 0.4858, IoU.traffic light: 0.4342, IoU.tray: 0.2146, IoU.ashcan: 0.4322, IoU.fan: 0.6844, IoU.pier: 0.2435, IoU.crt screen: 0.0770, IoU.plate: 0.6111, IoU.monitor: 0.0223, IoU.bulletin board: 0.2177, IoU.shower: 0.1776, IoU.radiator: 0.6254, IoU.glass: 0.2610, IoU.clock: 0.3797, IoU.flag: 0.6949, Acc.wall: 0.8814, Acc.building: 0.9253, Acc.sky: 0.9737, Acc.floor: 0.9111, Acc.tree: 0.8503, Acc.ceiling: 0.9372, Acc.road: 0.9244, Acc.bed : 0.9556, Acc.windowpane: 0.8008, Acc.grass: 0.7151, Acc.cabinet: 0.7852, Acc.sidewalk: 0.8268, Acc.person: 0.9257, Acc.earth: 0.4922, Acc.door: 0.7339, Acc.table: 0.8011, Acc.mountain: 0.8000, Acc.plant: 0.7665, Acc.curtain: 0.8990, Acc.chair: 0.7004, Acc.car: 0.9314, Acc.water: 0.6358, Acc.painting: 0.8958, Acc.sofa: 0.9125, Acc.shelf: 0.5851, Acc.house: 0.3828, Acc.sea: 0.9067, Acc.mirror: 0.8830, Acc.rug: 0.7471, Acc.field: 0.5784, Acc.armchair: 0.6454, Acc.seat: 0.7484, Acc.fence: 0.5779, Acc.desk: 0.6810, Acc.rock: 0.4888, Acc.wardrobe: 0.6818, Acc.lamp: 0.8227, Acc.bathtub: 0.8500, Acc.railing: 0.5275, Acc.cushion: 0.7697, Acc.base: 0.2479, Acc.box: 0.5628, Acc.column: 0.6587, Acc.signboard: 0.6094, Acc.chest of drawers: 0.5968, Acc.counter: 0.3981, Acc.sand: 0.4511, Acc.sink: 0.8388, Acc.skyscraper: 0.4260, Acc.fireplace: 0.9039, Acc.refrigerator: 0.9113, Acc.grandstand: 0.6416, Acc.path: 0.2458, Acc.stairs: 0.4584, Acc.runway: 0.7163, Acc.case: 0.7691, Acc.pool table: 0.9673, Acc.pillow: 0.8608, Acc.screen door: 0.6761, Acc.stairway: 0.4566, Acc.river: 0.1177, Acc.bridge: 0.8455, Acc.bookcase: 0.4802, Acc.blind: 0.4851, Acc.coffee table: 0.8150, Acc.toilet: 0.9140, Acc.flower: 0.6096, Acc.book: 0.7351, Acc.hill: 0.0895, Acc.bench: 0.8344, Acc.countertop: 0.7695, Acc.stove: 0.8553, Acc.palm: 0.8022, Acc.kitchen island: 0.6640, Acc.computer: 0.8706, Acc.swivel chair: 0.8191, Acc.boat: 0.9344, Acc.bar: 0.2290, Acc.arcade machine: 0.4872, Acc.hovel: 0.4874, Acc.bus: 0.9485, Acc.towel: 0.9336, Acc.light: 0.7769, Acc.truck: 0.5731, Acc.tower: 0.2325, Acc.chandelier: 0.7844, Acc.awning: 0.5841, Acc.streetlight: 0.6062, Acc.booth: 0.3720, Acc.television receiver: 0.8307, Acc.airplane: 0.6776, Acc.dirt track: 0.0000, Acc.apparel: 0.4718, Acc.pole: 0.5408, Acc.land: 0.0002, Acc.bannister: 0.2866, Acc.escalator: 0.0000, Acc.ottoman: 0.7360, Acc.bottle: 0.4477, Acc.buffet: 0.3908, Acc.poster: 0.4769, Acc.stage: 0.1772, Acc.van: 0.7593, Acc.ship: 0.0302, Acc.fountain: 0.2176, Acc.conveyer belt: 0.9060, Acc.canopy: 0.4450, Acc.washer: 0.7375, Acc.plaything: 0.5328, Acc.swimming pool: 0.4571, Acc.stool: 0.6691, Acc.barrel: 0.8681, Acc.basket: 0.6244, Acc.waterfall: 0.5564, Acc.tent: 0.9845, Acc.bag: 0.3442, Acc.minibike: 0.8826, Acc.cradle: 0.8544, Acc.oven: 0.1652, Acc.ball: 0.7903, Acc.food: 0.7987, Acc.step: 0.3494, Acc.tank: 0.4391, Acc.trade name: 0.2968, Acc.microwave: 0.9555, Acc.pot: 0.7441, Acc.animal: 0.7230, Acc.bicycle: 0.8818, Acc.lake: 0.0000, Acc.dishwasher: 0.8131, Acc.screen: 0.9025, Acc.blanket: 0.5843, Acc.sculpture: 0.8980, Acc.hood: 0.7522, Acc.sconce: 0.7393, Acc.vase: 0.7968, Acc.traffic light: 0.7123, Acc.tray: 0.4246, Acc.ashcan: 0.6527, Acc.fan: 0.8447, Acc.pier: 0.4006, Acc.crt screen: 0.0907, Acc.plate: 0.7563, Acc.monitor: 0.0257, Acc.bulletin board: 0.2298, Acc.shower: 0.2296, Acc.radiator: 0.7584, Acc.glass: 0.2976, Acc.clock: 0.4509, Acc.flag: 0.8532 2023-11-22 00:33:21,723 - mmseg - INFO - Iter [20050/160000] lr: 8.331e-06, eta: 23:01:24, time: 1.115, data_time: 0.560, memory: 38143, decode.loss_cls: 0.6359, decode.loss_mask: 0.7035, decode.loss_dice: 1.0330, decode.d0.loss_cls: 1.9305, decode.d0.loss_mask: 0.7479, decode.d0.loss_dice: 1.2255, decode.d1.loss_cls: 0.7897, decode.d1.loss_mask: 0.7275, decode.d1.loss_dice: 1.1160, decode.d2.loss_cls: 0.6998, decode.d2.loss_mask: 0.7131, decode.d2.loss_dice: 1.0636, decode.d3.loss_cls: 0.6573, decode.d3.loss_mask: 0.7108, decode.d3.loss_dice: 1.0463, decode.d4.loss_cls: 0.6537, decode.d4.loss_mask: 0.7038, decode.d4.loss_dice: 1.0485, decode.d5.loss_cls: 0.6433, decode.d5.loss_mask: 0.7048, decode.d5.loss_dice: 1.0508, decode.d6.loss_cls: 0.6388, decode.d6.loss_mask: 0.7029, decode.d6.loss_dice: 1.0368, decode.d7.loss_cls: 0.6367, decode.d7.loss_mask: 0.7000, decode.d7.loss_dice: 1.0386, decode.d8.loss_cls: 0.6330, decode.d8.loss_mask: 0.7048, decode.d8.loss_dice: 1.0376, loss: 25.7346, grad_norm: 76.4988 2023-11-22 00:33:50,282 - mmseg - INFO - Iter [20100/160000] lr: 8.328e-06, eta: 23:00:47, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6051, decode.loss_mask: 0.7128, decode.loss_dice: 1.0199, decode.d0.loss_cls: 1.9014, decode.d0.loss_mask: 0.7516, decode.d0.loss_dice: 1.2192, decode.d1.loss_cls: 0.7379, decode.d1.loss_mask: 0.7412, decode.d1.loss_dice: 1.0969, decode.d2.loss_cls: 0.6528, decode.d2.loss_mask: 0.7252, decode.d2.loss_dice: 1.0510, decode.d3.loss_cls: 0.6237, decode.d3.loss_mask: 0.7184, decode.d3.loss_dice: 1.0292, decode.d4.loss_cls: 0.6137, decode.d4.loss_mask: 0.7152, decode.d4.loss_dice: 1.0324, decode.d5.loss_cls: 0.6067, decode.d5.loss_mask: 0.7151, decode.d5.loss_dice: 1.0280, decode.d6.loss_cls: 0.6117, decode.d6.loss_mask: 0.7118, decode.d6.loss_dice: 1.0241, decode.d7.loss_cls: 0.6018, decode.d7.loss_mask: 0.7103, decode.d7.loss_dice: 1.0188, decode.d8.loss_cls: 0.5935, decode.d8.loss_mask: 0.7115, decode.d8.loss_dice: 1.0228, loss: 25.3036, grad_norm: 73.1971 2023-11-22 00:34:18,799 - mmseg - INFO - Iter [20150/160000] lr: 8.325e-06, eta: 23:00:09, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6295, decode.loss_mask: 0.6963, decode.loss_dice: 1.0332, decode.d0.loss_cls: 1.9326, decode.d0.loss_mask: 0.7326, decode.d0.loss_dice: 1.2340, decode.d1.loss_cls: 0.7684, decode.d1.loss_mask: 0.7227, decode.d1.loss_dice: 1.1096, decode.d2.loss_cls: 0.6759, decode.d2.loss_mask: 0.7128, decode.d2.loss_dice: 1.0615, decode.d3.loss_cls: 0.6503, decode.d3.loss_mask: 0.6980, decode.d3.loss_dice: 1.0410, decode.d4.loss_cls: 0.6411, decode.d4.loss_mask: 0.6979, decode.d4.loss_dice: 1.0386, decode.d5.loss_cls: 0.6311, decode.d5.loss_mask: 0.6969, decode.d5.loss_dice: 1.0454, decode.d6.loss_cls: 0.6329, decode.d6.loss_mask: 0.6974, decode.d6.loss_dice: 1.0322, decode.d7.loss_cls: 0.6282, decode.d7.loss_mask: 0.6992, decode.d7.loss_dice: 1.0368, decode.d8.loss_cls: 0.6220, decode.d8.loss_mask: 0.7007, decode.d8.loss_dice: 1.0358, loss: 25.5344, grad_norm: 76.3933 2023-11-22 00:34:47,305 - mmseg - INFO - Iter [20200/160000] lr: 8.322e-06, eta: 22:59:32, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6275, decode.loss_mask: 0.7091, decode.loss_dice: 1.0206, decode.d0.loss_cls: 1.9542, decode.d0.loss_mask: 0.7396, decode.d0.loss_dice: 1.2132, decode.d1.loss_cls: 0.7787, decode.d1.loss_mask: 0.7373, decode.d1.loss_dice: 1.0977, decode.d2.loss_cls: 0.6798, decode.d2.loss_mask: 0.7196, decode.d2.loss_dice: 1.0585, decode.d3.loss_cls: 0.6617, decode.d3.loss_mask: 0.7058, decode.d3.loss_dice: 1.0289, decode.d4.loss_cls: 0.6479, decode.d4.loss_mask: 0.7128, decode.d4.loss_dice: 1.0310, decode.d5.loss_cls: 0.6339, decode.d5.loss_mask: 0.7085, decode.d5.loss_dice: 1.0298, decode.d6.loss_cls: 0.6325, decode.d6.loss_mask: 0.7035, decode.d6.loss_dice: 1.0201, decode.d7.loss_cls: 0.6319, decode.d7.loss_mask: 0.7042, decode.d7.loss_dice: 1.0238, decode.d8.loss_cls: 0.6331, decode.d8.loss_mask: 0.7077, decode.d8.loss_dice: 1.0239, loss: 25.5770, grad_norm: 77.5195 2023-11-22 00:35:18,303 - mmseg - INFO - Iter [20250/160000] lr: 8.319e-06, eta: 22:59:12, time: 0.620, data_time: 0.060, memory: 38143, decode.loss_cls: 0.6183, decode.loss_mask: 0.6799, decode.loss_dice: 0.9950, decode.d0.loss_cls: 1.9413, decode.d0.loss_mask: 0.7111, decode.d0.loss_dice: 1.1988, decode.d1.loss_cls: 0.7604, decode.d1.loss_mask: 0.7063, decode.d1.loss_dice: 1.0763, decode.d2.loss_cls: 0.6723, decode.d2.loss_mask: 0.6895, decode.d2.loss_dice: 1.0380, decode.d3.loss_cls: 0.6459, decode.d3.loss_mask: 0.6752, decode.d3.loss_dice: 1.0069, decode.d4.loss_cls: 0.6354, decode.d4.loss_mask: 0.6829, decode.d4.loss_dice: 1.0012, decode.d5.loss_cls: 0.6275, decode.d5.loss_mask: 0.6769, decode.d5.loss_dice: 1.0038, decode.d6.loss_cls: 0.6215, decode.d6.loss_mask: 0.6772, decode.d6.loss_dice: 0.9909, decode.d7.loss_cls: 0.6154, decode.d7.loss_mask: 0.6787, decode.d7.loss_dice: 0.9963, decode.d8.loss_cls: 0.6206, decode.d8.loss_mask: 0.6780, decode.d8.loss_dice: 0.9936, loss: 24.9148, grad_norm: 75.7456 2023-11-22 00:35:46,678 - mmseg - INFO - Iter [20300/160000] lr: 8.316e-06, eta: 22:58:34, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6070, decode.loss_mask: 0.6828, decode.loss_dice: 0.9921, decode.d0.loss_cls: 1.9096, decode.d0.loss_mask: 0.7308, decode.d0.loss_dice: 1.1786, decode.d1.loss_cls: 0.7567, decode.d1.loss_mask: 0.7215, decode.d1.loss_dice: 1.0744, decode.d2.loss_cls: 0.6578, decode.d2.loss_mask: 0.7013, decode.d2.loss_dice: 1.0314, decode.d3.loss_cls: 0.6396, decode.d3.loss_mask: 0.6884, decode.d3.loss_dice: 0.9999, decode.d4.loss_cls: 0.6272, decode.d4.loss_mask: 0.6896, decode.d4.loss_dice: 1.0031, decode.d5.loss_cls: 0.6157, decode.d5.loss_mask: 0.6859, decode.d5.loss_dice: 1.0039, decode.d6.loss_cls: 0.6144, decode.d6.loss_mask: 0.6858, decode.d6.loss_dice: 0.9976, decode.d7.loss_cls: 0.6067, decode.d7.loss_mask: 0.6876, decode.d7.loss_dice: 0.9940, decode.d8.loss_cls: 0.6064, decode.d8.loss_mask: 0.6881, decode.d8.loss_dice: 1.0019, loss: 24.8800, grad_norm: 73.8690 2023-11-22 00:36:15,063 - mmseg - INFO - Iter [20350/160000] lr: 8.313e-06, eta: 22:57:56, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5916, decode.loss_mask: 0.6799, decode.loss_dice: 0.9826, decode.d0.loss_cls: 1.9090, decode.d0.loss_mask: 0.7211, decode.d0.loss_dice: 1.1768, decode.d1.loss_cls: 0.7443, decode.d1.loss_mask: 0.7128, decode.d1.loss_dice: 1.0628, decode.d2.loss_cls: 0.6409, decode.d2.loss_mask: 0.6932, decode.d2.loss_dice: 1.0135, decode.d3.loss_cls: 0.6073, decode.d3.loss_mask: 0.6837, decode.d3.loss_dice: 0.9908, decode.d4.loss_cls: 0.6039, decode.d4.loss_mask: 0.6795, decode.d4.loss_dice: 0.9935, decode.d5.loss_cls: 0.6026, decode.d5.loss_mask: 0.6804, decode.d5.loss_dice: 0.9925, decode.d6.loss_cls: 0.5950, decode.d6.loss_mask: 0.6808, decode.d6.loss_dice: 0.9778, decode.d7.loss_cls: 0.5919, decode.d7.loss_mask: 0.6818, decode.d7.loss_dice: 0.9883, decode.d8.loss_cls: 0.5912, decode.d8.loss_mask: 0.6808, decode.d8.loss_dice: 0.9857, loss: 24.5359, grad_norm: 78.4871 2023-11-22 00:36:43,566 - mmseg - INFO - Iter [20400/160000] lr: 8.310e-06, eta: 22:57:19, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5897, decode.loss_mask: 0.6725, decode.loss_dice: 0.9814, decode.d0.loss_cls: 1.9134, decode.d0.loss_mask: 0.7184, decode.d0.loss_dice: 1.1692, decode.d1.loss_cls: 0.7392, decode.d1.loss_mask: 0.7083, decode.d1.loss_dice: 1.0614, decode.d2.loss_cls: 0.6467, decode.d2.loss_mask: 0.6874, decode.d2.loss_dice: 1.0240, decode.d3.loss_cls: 0.6220, decode.d3.loss_mask: 0.6758, decode.d3.loss_dice: 0.9934, decode.d4.loss_cls: 0.6079, decode.d4.loss_mask: 0.6782, decode.d4.loss_dice: 0.9944, decode.d5.loss_cls: 0.6062, decode.d5.loss_mask: 0.6818, decode.d5.loss_dice: 0.9864, decode.d6.loss_cls: 0.5967, decode.d6.loss_mask: 0.6740, decode.d6.loss_dice: 0.9800, decode.d7.loss_cls: 0.5886, decode.d7.loss_mask: 0.6763, decode.d7.loss_dice: 0.9823, decode.d8.loss_cls: 0.5869, decode.d8.loss_mask: 0.6775, decode.d8.loss_dice: 0.9864, loss: 24.5066, grad_norm: 71.1608 2023-11-22 00:37:11,912 - mmseg - INFO - Iter [20450/160000] lr: 8.308e-06, eta: 22:56:41, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6253, decode.loss_mask: 0.7084, decode.loss_dice: 1.0128, decode.d0.loss_cls: 1.9280, decode.d0.loss_mask: 0.7592, decode.d0.loss_dice: 1.2079, decode.d1.loss_cls: 0.7553, decode.d1.loss_mask: 0.7479, decode.d1.loss_dice: 1.1015, decode.d2.loss_cls: 0.6719, decode.d2.loss_mask: 0.7274, decode.d2.loss_dice: 1.0530, decode.d3.loss_cls: 0.6443, decode.d3.loss_mask: 0.7170, decode.d3.loss_dice: 1.0252, decode.d4.loss_cls: 0.6267, decode.d4.loss_mask: 0.7203, decode.d4.loss_dice: 1.0317, decode.d5.loss_cls: 0.6279, decode.d5.loss_mask: 0.7107, decode.d5.loss_dice: 1.0184, decode.d6.loss_cls: 0.6231, decode.d6.loss_mask: 0.7135, decode.d6.loss_dice: 1.0199, decode.d7.loss_cls: 0.6197, decode.d7.loss_mask: 0.7156, decode.d7.loss_dice: 1.0186, decode.d8.loss_cls: 0.6194, decode.d8.loss_mask: 0.7126, decode.d8.loss_dice: 1.0196, loss: 25.4826, grad_norm: 76.4979 2023-11-22 00:37:40,179 - mmseg - INFO - Iter [20500/160000] lr: 8.305e-06, eta: 22:56:02, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6048, decode.loss_mask: 0.6992, decode.loss_dice: 0.9967, decode.d0.loss_cls: 1.8882, decode.d0.loss_mask: 0.7358, decode.d0.loss_dice: 1.1838, decode.d1.loss_cls: 0.7478, decode.d1.loss_mask: 0.7225, decode.d1.loss_dice: 1.0654, decode.d2.loss_cls: 0.6630, decode.d2.loss_mask: 0.7070, decode.d2.loss_dice: 1.0131, decode.d3.loss_cls: 0.6378, decode.d3.loss_mask: 0.6973, decode.d3.loss_dice: 0.9952, decode.d4.loss_cls: 0.6265, decode.d4.loss_mask: 0.6931, decode.d4.loss_dice: 0.9984, decode.d5.loss_cls: 0.6136, decode.d5.loss_mask: 0.6990, decode.d5.loss_dice: 0.9971, decode.d6.loss_cls: 0.6146, decode.d6.loss_mask: 0.6979, decode.d6.loss_dice: 0.9885, decode.d7.loss_cls: 0.6067, decode.d7.loss_mask: 0.7029, decode.d7.loss_dice: 0.9951, decode.d8.loss_cls: 0.6087, decode.d8.loss_mask: 0.7023, decode.d8.loss_dice: 0.9932, loss: 24.8955, grad_norm: 70.7238 2023-11-22 00:38:08,680 - mmseg - INFO - Iter [20550/160000] lr: 8.302e-06, eta: 22:55:25, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5839, decode.loss_mask: 0.7020, decode.loss_dice: 1.0057, decode.d0.loss_cls: 1.8810, decode.d0.loss_mask: 0.7305, decode.d0.loss_dice: 1.1847, decode.d1.loss_cls: 0.7177, decode.d1.loss_mask: 0.7320, decode.d1.loss_dice: 1.0845, decode.d2.loss_cls: 0.6290, decode.d2.loss_mask: 0.7116, decode.d2.loss_dice: 1.0540, decode.d3.loss_cls: 0.6007, decode.d3.loss_mask: 0.7029, decode.d3.loss_dice: 1.0160, decode.d4.loss_cls: 0.5979, decode.d4.loss_mask: 0.6978, decode.d4.loss_dice: 1.0100, decode.d5.loss_cls: 0.5855, decode.d5.loss_mask: 0.6971, decode.d5.loss_dice: 1.0119, decode.d6.loss_cls: 0.5832, decode.d6.loss_mask: 0.6944, decode.d6.loss_dice: 1.0019, decode.d7.loss_cls: 0.5793, decode.d7.loss_mask: 0.6950, decode.d7.loss_dice: 1.0093, decode.d8.loss_cls: 0.5764, decode.d8.loss_mask: 0.7045, decode.d8.loss_dice: 1.0106, loss: 24.7912, grad_norm: 74.2840 2023-11-22 00:38:37,091 - mmseg - INFO - Iter [20600/160000] lr: 8.299e-06, eta: 22:54:48, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6184, decode.loss_mask: 0.6880, decode.loss_dice: 0.9944, decode.d0.loss_cls: 1.9132, decode.d0.loss_mask: 0.7334, decode.d0.loss_dice: 1.1938, decode.d1.loss_cls: 0.7443, decode.d1.loss_mask: 0.7195, decode.d1.loss_dice: 1.0897, decode.d2.loss_cls: 0.6653, decode.d2.loss_mask: 0.7084, decode.d2.loss_dice: 1.0418, decode.d3.loss_cls: 0.6427, decode.d3.loss_mask: 0.6971, decode.d3.loss_dice: 1.0148, decode.d4.loss_cls: 0.6242, decode.d4.loss_mask: 0.6943, decode.d4.loss_dice: 1.0184, decode.d5.loss_cls: 0.6284, decode.d5.loss_mask: 0.6936, decode.d5.loss_dice: 1.0158, decode.d6.loss_cls: 0.6193, decode.d6.loss_mask: 0.6968, decode.d6.loss_dice: 1.0015, decode.d7.loss_cls: 0.6083, decode.d7.loss_mask: 0.6977, decode.d7.loss_dice: 1.0099, decode.d8.loss_cls: 0.6132, decode.d8.loss_mask: 0.6953, decode.d8.loss_dice: 1.0066, loss: 25.0883, grad_norm: 75.1232 2023-11-22 00:39:05,556 - mmseg - INFO - Iter [20650/160000] lr: 8.296e-06, eta: 22:54:10, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6152, decode.loss_mask: 0.6934, decode.loss_dice: 0.9959, decode.d0.loss_cls: 1.9144, decode.d0.loss_mask: 0.7413, decode.d0.loss_dice: 1.1983, decode.d1.loss_cls: 0.7564, decode.d1.loss_mask: 0.7271, decode.d1.loss_dice: 1.0814, decode.d2.loss_cls: 0.6698, decode.d2.loss_mask: 0.6974, decode.d2.loss_dice: 1.0414, decode.d3.loss_cls: 0.6423, decode.d3.loss_mask: 0.6962, decode.d3.loss_dice: 1.0207, decode.d4.loss_cls: 0.6312, decode.d4.loss_mask: 0.6934, decode.d4.loss_dice: 1.0217, decode.d5.loss_cls: 0.6302, decode.d5.loss_mask: 0.6935, decode.d5.loss_dice: 1.0093, decode.d6.loss_cls: 0.6180, decode.d6.loss_mask: 0.6934, decode.d6.loss_dice: 0.9980, decode.d7.loss_cls: 0.6198, decode.d7.loss_mask: 0.6874, decode.d7.loss_dice: 1.0024, decode.d8.loss_cls: 0.6169, decode.d8.loss_mask: 0.6894, decode.d8.loss_dice: 1.0061, loss: 25.1022, grad_norm: 74.6831 2023-11-22 00:39:33,916 - mmseg - INFO - Iter [20700/160000] lr: 8.293e-06, eta: 22:53:33, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6017, decode.loss_mask: 0.7024, decode.loss_dice: 0.9926, decode.d0.loss_cls: 1.8653, decode.d0.loss_mask: 0.7521, decode.d0.loss_dice: 1.1821, decode.d1.loss_cls: 0.7169, decode.d1.loss_mask: 0.7425, decode.d1.loss_dice: 1.0712, decode.d2.loss_cls: 0.6545, decode.d2.loss_mask: 0.7185, decode.d2.loss_dice: 1.0228, decode.d3.loss_cls: 0.6198, decode.d3.loss_mask: 0.7116, decode.d3.loss_dice: 1.0040, decode.d4.loss_cls: 0.6160, decode.d4.loss_mask: 0.7111, decode.d4.loss_dice: 1.0039, decode.d5.loss_cls: 0.6150, decode.d5.loss_mask: 0.7043, decode.d5.loss_dice: 0.9994, decode.d6.loss_cls: 0.6032, decode.d6.loss_mask: 0.7048, decode.d6.loss_dice: 1.0015, decode.d7.loss_cls: 0.6040, decode.d7.loss_mask: 0.7039, decode.d7.loss_dice: 1.0000, decode.d8.loss_cls: 0.6036, decode.d8.loss_mask: 0.7050, decode.d8.loss_dice: 0.9960, loss: 24.9297, grad_norm: 74.9451 2023-11-22 00:40:02,375 - mmseg - INFO - Iter [20750/160000] lr: 8.290e-06, eta: 22:52:55, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6194, decode.loss_mask: 0.6799, decode.loss_dice: 0.9776, decode.d0.loss_cls: 1.9357, decode.d0.loss_mask: 0.7176, decode.d0.loss_dice: 1.1654, decode.d1.loss_cls: 0.7635, decode.d1.loss_mask: 0.7144, decode.d1.loss_dice: 1.0691, decode.d2.loss_cls: 0.6714, decode.d2.loss_mask: 0.6931, decode.d2.loss_dice: 1.0167, decode.d3.loss_cls: 0.6357, decode.d3.loss_mask: 0.6888, decode.d3.loss_dice: 0.9930, decode.d4.loss_cls: 0.6288, decode.d4.loss_mask: 0.6885, decode.d4.loss_dice: 0.9971, decode.d5.loss_cls: 0.6368, decode.d5.loss_mask: 0.6847, decode.d5.loss_dice: 0.9905, decode.d6.loss_cls: 0.6240, decode.d6.loss_mask: 0.6855, decode.d6.loss_dice: 0.9782, decode.d7.loss_cls: 0.6221, decode.d7.loss_mask: 0.6826, decode.d7.loss_dice: 0.9821, decode.d8.loss_cls: 0.6194, decode.d8.loss_mask: 0.6855, decode.d8.loss_dice: 0.9810, loss: 24.8279, grad_norm: 75.3391 2023-11-22 00:40:30,811 - mmseg - INFO - Iter [20800/160000] lr: 8.287e-06, eta: 22:52:18, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6015, decode.loss_mask: 0.7074, decode.loss_dice: 1.0088, decode.d0.loss_cls: 1.8939, decode.d0.loss_mask: 0.7435, decode.d0.loss_dice: 1.2020, decode.d1.loss_cls: 0.7513, decode.d1.loss_mask: 0.7373, decode.d1.loss_dice: 1.0830, decode.d2.loss_cls: 0.6534, decode.d2.loss_mask: 0.7200, decode.d2.loss_dice: 1.0429, decode.d3.loss_cls: 0.6214, decode.d3.loss_mask: 0.7087, decode.d3.loss_dice: 1.0226, decode.d4.loss_cls: 0.6121, decode.d4.loss_mask: 0.7109, decode.d4.loss_dice: 1.0263, decode.d5.loss_cls: 0.6096, decode.d5.loss_mask: 0.7141, decode.d5.loss_dice: 1.0205, decode.d6.loss_cls: 0.5950, decode.d6.loss_mask: 0.7070, decode.d6.loss_dice: 1.0067, decode.d7.loss_cls: 0.5952, decode.d7.loss_mask: 0.7016, decode.d7.loss_dice: 1.0107, decode.d8.loss_cls: 0.5945, decode.d8.loss_mask: 0.7088, decode.d8.loss_dice: 1.0140, loss: 25.1246, grad_norm: 73.8565 2023-11-22 00:40:59,352 - mmseg - INFO - Iter [20850/160000] lr: 8.284e-06, eta: 22:51:42, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6059, decode.loss_mask: 0.6782, decode.loss_dice: 0.9948, decode.d0.loss_cls: 1.9020, decode.d0.loss_mask: 0.7217, decode.d0.loss_dice: 1.1674, decode.d1.loss_cls: 0.7350, decode.d1.loss_mask: 0.7119, decode.d1.loss_dice: 1.0608, decode.d2.loss_cls: 0.6567, decode.d2.loss_mask: 0.6945, decode.d2.loss_dice: 1.0332, decode.d3.loss_cls: 0.6244, decode.d3.loss_mask: 0.6850, decode.d3.loss_dice: 1.0117, decode.d4.loss_cls: 0.6090, decode.d4.loss_mask: 0.6830, decode.d4.loss_dice: 1.0054, decode.d5.loss_cls: 0.6024, decode.d5.loss_mask: 0.6764, decode.d5.loss_dice: 0.9986, decode.d6.loss_cls: 0.6015, decode.d6.loss_mask: 0.6766, decode.d6.loss_dice: 0.9923, decode.d7.loss_cls: 0.6079, decode.d7.loss_mask: 0.6797, decode.d7.loss_dice: 0.9908, decode.d8.loss_cls: 0.6012, decode.d8.loss_mask: 0.6842, decode.d8.loss_dice: 0.9945, loss: 24.6865, grad_norm: 74.8965 2023-11-22 00:41:27,540 - mmseg - INFO - Iter [20900/160000] lr: 8.281e-06, eta: 22:51:03, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5834, decode.loss_mask: 0.6532, decode.loss_dice: 0.9546, decode.d0.loss_cls: 1.8759, decode.d0.loss_mask: 0.6880, decode.d0.loss_dice: 1.1265, decode.d1.loss_cls: 0.7246, decode.d1.loss_mask: 0.6840, decode.d1.loss_dice: 1.0256, decode.d2.loss_cls: 0.6419, decode.d2.loss_mask: 0.6684, decode.d2.loss_dice: 0.9781, decode.d3.loss_cls: 0.6100, decode.d3.loss_mask: 0.6603, decode.d3.loss_dice: 0.9641, decode.d4.loss_cls: 0.6051, decode.d4.loss_mask: 0.6558, decode.d4.loss_dice: 0.9674, decode.d5.loss_cls: 0.5989, decode.d5.loss_mask: 0.6557, decode.d5.loss_dice: 0.9604, decode.d6.loss_cls: 0.5904, decode.d6.loss_mask: 0.6556, decode.d6.loss_dice: 0.9603, decode.d7.loss_cls: 0.5893, decode.d7.loss_mask: 0.6513, decode.d7.loss_dice: 0.9549, decode.d8.loss_cls: 0.5868, decode.d8.loss_mask: 0.6502, decode.d8.loss_dice: 0.9634, loss: 23.8841, grad_norm: 70.6907 2023-11-22 00:41:55,968 - mmseg - INFO - Iter [20950/160000] lr: 8.278e-06, eta: 22:50:26, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6075, decode.loss_mask: 0.7136, decode.loss_dice: 0.9833, decode.d0.loss_cls: 1.8763, decode.d0.loss_mask: 0.7501, decode.d0.loss_dice: 1.1604, decode.d1.loss_cls: 0.7434, decode.d1.loss_mask: 0.7393, decode.d1.loss_dice: 1.0583, decode.d2.loss_cls: 0.6532, decode.d2.loss_mask: 0.7275, decode.d2.loss_dice: 1.0240, decode.d3.loss_cls: 0.6301, decode.d3.loss_mask: 0.7128, decode.d3.loss_dice: 0.9985, decode.d4.loss_cls: 0.6193, decode.d4.loss_mask: 0.7164, decode.d4.loss_dice: 0.9943, decode.d5.loss_cls: 0.6100, decode.d5.loss_mask: 0.7126, decode.d5.loss_dice: 0.9888, decode.d6.loss_cls: 0.6115, decode.d6.loss_mask: 0.7118, decode.d6.loss_dice: 0.9755, decode.d7.loss_cls: 0.6082, decode.d7.loss_mask: 0.7102, decode.d7.loss_dice: 0.9886, decode.d8.loss_cls: 0.6107, decode.d8.loss_mask: 0.7071, decode.d8.loss_dice: 0.9822, loss: 24.9255, grad_norm: 79.7631 2023-11-22 00:42:24,559 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 00:42:24,559 - mmseg - INFO - Iter [21000/160000] lr: 8.275e-06, eta: 22:49:50, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5784, decode.loss_mask: 0.6625, decode.loss_dice: 0.9733, decode.d0.loss_cls: 1.8766, decode.d0.loss_mask: 0.7092, decode.d0.loss_dice: 1.1588, decode.d1.loss_cls: 0.7156, decode.d1.loss_mask: 0.6947, decode.d1.loss_dice: 1.0571, decode.d2.loss_cls: 0.6358, decode.d2.loss_mask: 0.6669, decode.d2.loss_dice: 1.0104, decode.d3.loss_cls: 0.6020, decode.d3.loss_mask: 0.6628, decode.d3.loss_dice: 0.9910, decode.d4.loss_cls: 0.5989, decode.d4.loss_mask: 0.6610, decode.d4.loss_dice: 0.9835, decode.d5.loss_cls: 0.5901, decode.d5.loss_mask: 0.6642, decode.d5.loss_dice: 0.9815, decode.d6.loss_cls: 0.5884, decode.d6.loss_mask: 0.6643, decode.d6.loss_dice: 0.9769, decode.d7.loss_cls: 0.5817, decode.d7.loss_mask: 0.6635, decode.d7.loss_dice: 0.9776, decode.d8.loss_cls: 0.5795, decode.d8.loss_mask: 0.6640, decode.d8.loss_dice: 0.9758, loss: 24.1459, grad_norm: 70.0029 2023-11-22 00:42:52,917 - mmseg - INFO - Iter [21050/160000] lr: 8.272e-06, eta: 22:49:12, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5944, decode.loss_mask: 0.6868, decode.loss_dice: 0.9863, decode.d0.loss_cls: 1.8748, decode.d0.loss_mask: 0.7244, decode.d0.loss_dice: 1.1656, decode.d1.loss_cls: 0.7380, decode.d1.loss_mask: 0.7164, decode.d1.loss_dice: 1.0666, decode.d2.loss_cls: 0.6525, decode.d2.loss_mask: 0.6999, decode.d2.loss_dice: 1.0136, decode.d3.loss_cls: 0.6131, decode.d3.loss_mask: 0.6936, decode.d3.loss_dice: 0.9980, decode.d4.loss_cls: 0.6091, decode.d4.loss_mask: 0.6905, decode.d4.loss_dice: 0.9974, decode.d5.loss_cls: 0.6106, decode.d5.loss_mask: 0.6904, decode.d5.loss_dice: 0.9869, decode.d6.loss_cls: 0.5988, decode.d6.loss_mask: 0.6859, decode.d6.loss_dice: 0.9830, decode.d7.loss_cls: 0.5962, decode.d7.loss_mask: 0.6851, decode.d7.loss_dice: 0.9875, decode.d8.loss_cls: 0.5947, decode.d8.loss_mask: 0.6881, decode.d8.loss_dice: 0.9885, loss: 24.6167, grad_norm: 75.1025 2023-11-22 00:43:21,443 - mmseg - INFO - Iter [21100/160000] lr: 8.269e-06, eta: 22:48:36, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5905, decode.loss_mask: 0.6886, decode.loss_dice: 0.9818, decode.d0.loss_cls: 1.8593, decode.d0.loss_mask: 0.7292, decode.d0.loss_dice: 1.1560, decode.d1.loss_cls: 0.7280, decode.d1.loss_mask: 0.7107, decode.d1.loss_dice: 1.0518, decode.d2.loss_cls: 0.6386, decode.d2.loss_mask: 0.6936, decode.d2.loss_dice: 1.0057, decode.d3.loss_cls: 0.6097, decode.d3.loss_mask: 0.6850, decode.d3.loss_dice: 0.9953, decode.d4.loss_cls: 0.6135, decode.d4.loss_mask: 0.6868, decode.d4.loss_dice: 0.9849, decode.d5.loss_cls: 0.6037, decode.d5.loss_mask: 0.6885, decode.d5.loss_dice: 0.9876, decode.d6.loss_cls: 0.5916, decode.d6.loss_mask: 0.6854, decode.d6.loss_dice: 0.9771, decode.d7.loss_cls: 0.5960, decode.d7.loss_mask: 0.6879, decode.d7.loss_dice: 0.9775, decode.d8.loss_cls: 0.5971, decode.d8.loss_mask: 0.6891, decode.d8.loss_dice: 0.9774, loss: 24.4677, grad_norm: 73.9632 2023-11-22 00:43:49,850 - mmseg - INFO - Iter [21150/160000] lr: 8.266e-06, eta: 22:47:59, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5754, decode.loss_mask: 0.6763, decode.loss_dice: 0.9575, decode.d0.loss_cls: 1.8774, decode.d0.loss_mask: 0.7241, decode.d0.loss_dice: 1.1474, decode.d1.loss_cls: 0.7146, decode.d1.loss_mask: 0.7062, decode.d1.loss_dice: 1.0433, decode.d2.loss_cls: 0.6314, decode.d2.loss_mask: 0.6922, decode.d2.loss_dice: 0.9944, decode.d3.loss_cls: 0.6121, decode.d3.loss_mask: 0.6777, decode.d3.loss_dice: 0.9707, decode.d4.loss_cls: 0.6037, decode.d4.loss_mask: 0.6758, decode.d4.loss_dice: 0.9706, decode.d5.loss_cls: 0.5861, decode.d5.loss_mask: 0.6780, decode.d5.loss_dice: 0.9667, decode.d6.loss_cls: 0.5774, decode.d6.loss_mask: 0.6779, decode.d6.loss_dice: 0.9541, decode.d7.loss_cls: 0.5758, decode.d7.loss_mask: 0.6787, decode.d7.loss_dice: 0.9583, decode.d8.loss_cls: 0.5807, decode.d8.loss_mask: 0.6768, decode.d8.loss_dice: 0.9613, loss: 24.1225, grad_norm: 72.4101 2023-11-22 00:44:18,340 - mmseg - INFO - Iter [21200/160000] lr: 8.263e-06, eta: 22:47:22, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5946, decode.loss_mask: 0.6842, decode.loss_dice: 0.9997, decode.d0.loss_cls: 1.9133, decode.d0.loss_mask: 0.7167, decode.d0.loss_dice: 1.1853, decode.d1.loss_cls: 0.7292, decode.d1.loss_mask: 0.7157, decode.d1.loss_dice: 1.0749, decode.d2.loss_cls: 0.6527, decode.d2.loss_mask: 0.6955, decode.d2.loss_dice: 1.0394, decode.d3.loss_cls: 0.6246, decode.d3.loss_mask: 0.6921, decode.d3.loss_dice: 1.0122, decode.d4.loss_cls: 0.6026, decode.d4.loss_mask: 0.6921, decode.d4.loss_dice: 1.0163, decode.d5.loss_cls: 0.6000, decode.d5.loss_mask: 0.6895, decode.d5.loss_dice: 1.0132, decode.d6.loss_cls: 0.5930, decode.d6.loss_mask: 0.6853, decode.d6.loss_dice: 1.0019, decode.d7.loss_cls: 0.5968, decode.d7.loss_mask: 0.6869, decode.d7.loss_dice: 1.0049, decode.d8.loss_cls: 0.5984, decode.d8.loss_mask: 0.6892, decode.d8.loss_dice: 1.0039, loss: 24.8039, grad_norm: 75.7575 2023-11-22 00:44:46,722 - mmseg - INFO - Iter [21250/160000] lr: 8.260e-06, eta: 22:46:45, time: 0.569, data_time: 0.015, memory: 38143, decode.loss_cls: 0.6212, decode.loss_mask: 0.7063, decode.loss_dice: 1.0069, decode.d0.loss_cls: 1.9051, decode.d0.loss_mask: 0.7446, decode.d0.loss_dice: 1.1980, decode.d1.loss_cls: 0.7587, decode.d1.loss_mask: 0.7370, decode.d1.loss_dice: 1.0921, decode.d2.loss_cls: 0.6667, decode.d2.loss_mask: 0.7203, decode.d2.loss_dice: 1.0457, decode.d3.loss_cls: 0.6450, decode.d3.loss_mask: 0.7070, decode.d3.loss_dice: 1.0220, decode.d4.loss_cls: 0.6358, decode.d4.loss_mask: 0.7032, decode.d4.loss_dice: 1.0191, decode.d5.loss_cls: 0.6241, decode.d5.loss_mask: 0.7040, decode.d5.loss_dice: 1.0118, decode.d6.loss_cls: 0.6243, decode.d6.loss_mask: 0.7059, decode.d6.loss_dice: 0.9999, decode.d7.loss_cls: 0.6162, decode.d7.loss_mask: 0.7029, decode.d7.loss_dice: 1.0104, decode.d8.loss_cls: 0.6282, decode.d8.loss_mask: 0.7000, decode.d8.loss_dice: 1.0073, loss: 25.2698, grad_norm: 73.6767 2023-11-22 00:45:15,023 - mmseg - INFO - Iter [21300/160000] lr: 8.257e-06, eta: 22:46:07, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5920, decode.loss_mask: 0.6770, decode.loss_dice: 0.9704, decode.d0.loss_cls: 1.8598, decode.d0.loss_mask: 0.7154, decode.d0.loss_dice: 1.1476, decode.d1.loss_cls: 0.7285, decode.d1.loss_mask: 0.7034, decode.d1.loss_dice: 1.0442, decode.d2.loss_cls: 0.6502, decode.d2.loss_mask: 0.6884, decode.d2.loss_dice: 1.0034, decode.d3.loss_cls: 0.6171, decode.d3.loss_mask: 0.6785, decode.d3.loss_dice: 0.9809, decode.d4.loss_cls: 0.6025, decode.d4.loss_mask: 0.6865, decode.d4.loss_dice: 0.9850, decode.d5.loss_cls: 0.5977, decode.d5.loss_mask: 0.6811, decode.d5.loss_dice: 0.9729, decode.d6.loss_cls: 0.5919, decode.d6.loss_mask: 0.6777, decode.d6.loss_dice: 0.9659, decode.d7.loss_cls: 0.5898, decode.d7.loss_mask: 0.6805, decode.d7.loss_dice: 0.9678, decode.d8.loss_cls: 0.5913, decode.d8.loss_mask: 0.6815, decode.d8.loss_dice: 0.9747, loss: 24.3035, grad_norm: 78.4964 2023-11-22 00:45:43,505 - mmseg - INFO - Iter [21350/160000] lr: 8.254e-06, eta: 22:45:31, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6277, decode.loss_mask: 0.7119, decode.loss_dice: 1.0171, decode.d0.loss_cls: 1.9115, decode.d0.loss_mask: 0.7609, decode.d0.loss_dice: 1.2114, decode.d1.loss_cls: 0.7612, decode.d1.loss_mask: 0.7498, decode.d1.loss_dice: 1.1039, decode.d2.loss_cls: 0.6717, decode.d2.loss_mask: 0.7287, decode.d2.loss_dice: 1.0635, decode.d3.loss_cls: 0.6494, decode.d3.loss_mask: 0.7217, decode.d3.loss_dice: 1.0360, decode.d4.loss_cls: 0.6418, decode.d4.loss_mask: 0.7154, decode.d4.loss_dice: 1.0361, decode.d5.loss_cls: 0.6230, decode.d5.loss_mask: 0.7210, decode.d5.loss_dice: 1.0356, decode.d6.loss_cls: 0.6271, decode.d6.loss_mask: 0.7098, decode.d6.loss_dice: 1.0230, decode.d7.loss_cls: 0.6192, decode.d7.loss_mask: 0.7191, decode.d7.loss_dice: 1.0304, decode.d8.loss_cls: 0.6256, decode.d8.loss_mask: 0.7149, decode.d8.loss_dice: 1.0210, loss: 25.5895, grad_norm: 73.9503 2023-11-22 00:46:11,985 - mmseg - INFO - Iter [21400/160000] lr: 8.251e-06, eta: 22:44:54, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5982, decode.loss_mask: 0.6824, decode.loss_dice: 0.9925, decode.d0.loss_cls: 1.8947, decode.d0.loss_mask: 0.7163, decode.d0.loss_dice: 1.1782, decode.d1.loss_cls: 0.7465, decode.d1.loss_mask: 0.7085, decode.d1.loss_dice: 1.0774, decode.d2.loss_cls: 0.6536, decode.d2.loss_mask: 0.6942, decode.d2.loss_dice: 1.0326, decode.d3.loss_cls: 0.6220, decode.d3.loss_mask: 0.6861, decode.d3.loss_dice: 1.0152, decode.d4.loss_cls: 0.6188, decode.d4.loss_mask: 0.6857, decode.d4.loss_dice: 1.0088, decode.d5.loss_cls: 0.6129, decode.d5.loss_mask: 0.6804, decode.d5.loss_dice: 1.0027, decode.d6.loss_cls: 0.6029, decode.d6.loss_mask: 0.6795, decode.d6.loss_dice: 0.9925, decode.d7.loss_cls: 0.6013, decode.d7.loss_mask: 0.6822, decode.d7.loss_dice: 1.0003, decode.d8.loss_cls: 0.6016, decode.d8.loss_mask: 0.6835, decode.d8.loss_dice: 0.9978, loss: 24.7494, grad_norm: 73.6045 2023-11-22 00:46:40,391 - mmseg - INFO - Iter [21450/160000] lr: 8.248e-06, eta: 22:44:17, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5795, decode.loss_mask: 0.6825, decode.loss_dice: 0.9791, decode.d0.loss_cls: 1.8711, decode.d0.loss_mask: 0.7240, decode.d0.loss_dice: 1.1651, decode.d1.loss_cls: 0.7122, decode.d1.loss_mask: 0.7063, decode.d1.loss_dice: 1.0674, decode.d2.loss_cls: 0.6273, decode.d2.loss_mask: 0.6973, decode.d2.loss_dice: 1.0213, decode.d3.loss_cls: 0.6026, decode.d3.loss_mask: 0.6818, decode.d3.loss_dice: 0.9980, decode.d4.loss_cls: 0.5944, decode.d4.loss_mask: 0.6850, decode.d4.loss_dice: 0.9951, decode.d5.loss_cls: 0.5875, decode.d5.loss_mask: 0.6810, decode.d5.loss_dice: 0.9891, decode.d6.loss_cls: 0.5802, decode.d6.loss_mask: 0.6814, decode.d6.loss_dice: 0.9866, decode.d7.loss_cls: 0.5734, decode.d7.loss_mask: 0.6815, decode.d7.loss_dice: 0.9920, decode.d8.loss_cls: 0.5756, decode.d8.loss_mask: 0.6876, decode.d8.loss_dice: 0.9819, loss: 24.3878, grad_norm: 72.4811 2023-11-22 00:47:11,381 - mmseg - INFO - Iter [21500/160000] lr: 8.245e-06, eta: 22:43:57, time: 0.620, data_time: 0.059, memory: 38143, decode.loss_cls: 0.5916, decode.loss_mask: 0.6907, decode.loss_dice: 1.0046, decode.d0.loss_cls: 1.9178, decode.d0.loss_mask: 0.7214, decode.d0.loss_dice: 1.1823, decode.d1.loss_cls: 0.7255, decode.d1.loss_mask: 0.7188, decode.d1.loss_dice: 1.0865, decode.d2.loss_cls: 0.6412, decode.d2.loss_mask: 0.7045, decode.d2.loss_dice: 1.0366, decode.d3.loss_cls: 0.6134, decode.d3.loss_mask: 0.6991, decode.d3.loss_dice: 1.0194, decode.d4.loss_cls: 0.6131, decode.d4.loss_mask: 0.6951, decode.d4.loss_dice: 1.0213, decode.d5.loss_cls: 0.5965, decode.d5.loss_mask: 0.6968, decode.d5.loss_dice: 1.0143, decode.d6.loss_cls: 0.5979, decode.d6.loss_mask: 0.6909, decode.d6.loss_dice: 1.0042, decode.d7.loss_cls: 0.5957, decode.d7.loss_mask: 0.6930, decode.d7.loss_dice: 1.0047, decode.d8.loss_cls: 0.5941, decode.d8.loss_mask: 0.6933, decode.d8.loss_dice: 1.0063, loss: 24.8706, grad_norm: 77.1930 2023-11-22 00:47:39,757 - mmseg - INFO - Iter [21550/160000] lr: 8.242e-06, eta: 22:43:20, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5795, decode.loss_mask: 0.6867, decode.loss_dice: 0.9961, decode.d0.loss_cls: 1.8633, decode.d0.loss_mask: 0.7135, decode.d0.loss_dice: 1.1723, decode.d1.loss_cls: 0.7259, decode.d1.loss_mask: 0.7068, decode.d1.loss_dice: 1.0677, decode.d2.loss_cls: 0.6308, decode.d2.loss_mask: 0.6956, decode.d2.loss_dice: 1.0281, decode.d3.loss_cls: 0.5921, decode.d3.loss_mask: 0.6853, decode.d3.loss_dice: 1.0091, decode.d4.loss_cls: 0.5955, decode.d4.loss_mask: 0.6840, decode.d4.loss_dice: 1.0017, decode.d5.loss_cls: 0.5872, decode.d5.loss_mask: 0.6841, decode.d5.loss_dice: 1.0011, decode.d6.loss_cls: 0.5845, decode.d6.loss_mask: 0.6852, decode.d6.loss_dice: 0.9917, decode.d7.loss_cls: 0.5840, decode.d7.loss_mask: 0.6838, decode.d7.loss_dice: 0.9939, decode.d8.loss_cls: 0.5810, decode.d8.loss_mask: 0.6853, decode.d8.loss_dice: 0.9941, loss: 24.4901, grad_norm: 79.8647 2023-11-22 00:48:08,143 - mmseg - INFO - Iter [21600/160000] lr: 8.239e-06, eta: 22:42:43, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5659, decode.loss_mask: 0.6667, decode.loss_dice: 0.9555, decode.d0.loss_cls: 1.8686, decode.d0.loss_mask: 0.7044, decode.d0.loss_dice: 1.1511, decode.d1.loss_cls: 0.6901, decode.d1.loss_mask: 0.7009, decode.d1.loss_dice: 1.0420, decode.d2.loss_cls: 0.6134, decode.d2.loss_mask: 0.6847, decode.d2.loss_dice: 1.0005, decode.d3.loss_cls: 0.5896, decode.d3.loss_mask: 0.6747, decode.d3.loss_dice: 0.9693, decode.d4.loss_cls: 0.5824, decode.d4.loss_mask: 0.6745, decode.d4.loss_dice: 0.9642, decode.d5.loss_cls: 0.5690, decode.d5.loss_mask: 0.6688, decode.d5.loss_dice: 0.9649, decode.d6.loss_cls: 0.5694, decode.d6.loss_mask: 0.6686, decode.d6.loss_dice: 0.9513, decode.d7.loss_cls: 0.5616, decode.d7.loss_mask: 0.6678, decode.d7.loss_dice: 0.9523, decode.d8.loss_cls: 0.5642, decode.d8.loss_mask: 0.6719, decode.d8.loss_dice: 0.9552, loss: 23.8634, grad_norm: 72.6175 2023-11-22 00:48:36,666 - mmseg - INFO - Iter [21650/160000] lr: 8.236e-06, eta: 22:42:07, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5984, decode.loss_mask: 0.6929, decode.loss_dice: 0.9495, decode.d0.loss_cls: 1.8582, decode.d0.loss_mask: 0.7445, decode.d0.loss_dice: 1.1515, decode.d1.loss_cls: 0.7201, decode.d1.loss_mask: 0.7295, decode.d1.loss_dice: 1.0467, decode.d2.loss_cls: 0.6483, decode.d2.loss_mask: 0.7093, decode.d2.loss_dice: 0.9890, decode.d3.loss_cls: 0.6185, decode.d3.loss_mask: 0.6968, decode.d3.loss_dice: 0.9641, decode.d4.loss_cls: 0.6156, decode.d4.loss_mask: 0.7002, decode.d4.loss_dice: 0.9638, decode.d5.loss_cls: 0.6035, decode.d5.loss_mask: 0.6971, decode.d5.loss_dice: 0.9590, decode.d6.loss_cls: 0.5965, decode.d6.loss_mask: 0.6928, decode.d6.loss_dice: 0.9452, decode.d7.loss_cls: 0.5870, decode.d7.loss_mask: 0.6956, decode.d7.loss_dice: 0.9537, decode.d8.loss_cls: 0.5998, decode.d8.loss_mask: 0.6960, decode.d8.loss_dice: 0.9542, loss: 24.3773, grad_norm: 73.3435 2023-11-22 00:49:05,223 - mmseg - INFO - Iter [21700/160000] lr: 8.233e-06, eta: 22:41:31, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5686, decode.loss_mask: 0.6793, decode.loss_dice: 0.9853, decode.d0.loss_cls: 1.8757, decode.d0.loss_mask: 0.7115, decode.d0.loss_dice: 1.1618, decode.d1.loss_cls: 0.7155, decode.d1.loss_mask: 0.7092, decode.d1.loss_dice: 1.0690, decode.d2.loss_cls: 0.6308, decode.d2.loss_mask: 0.6925, decode.d2.loss_dice: 1.0233, decode.d3.loss_cls: 0.6001, decode.d3.loss_mask: 0.6849, decode.d3.loss_dice: 0.9973, decode.d4.loss_cls: 0.5893, decode.d4.loss_mask: 0.6733, decode.d4.loss_dice: 1.0038, decode.d5.loss_cls: 0.5840, decode.d5.loss_mask: 0.6773, decode.d5.loss_dice: 0.9926, decode.d6.loss_cls: 0.5703, decode.d6.loss_mask: 0.6819, decode.d6.loss_dice: 0.9917, decode.d7.loss_cls: 0.5657, decode.d7.loss_mask: 0.6808, decode.d7.loss_dice: 0.9951, decode.d8.loss_cls: 0.5622, decode.d8.loss_mask: 0.6817, decode.d8.loss_dice: 0.9907, loss: 24.3452, grad_norm: 76.1198 2023-11-22 00:49:33,760 - mmseg - INFO - Iter [21750/160000] lr: 8.230e-06, eta: 22:40:56, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6000, decode.loss_mask: 0.7020, decode.loss_dice: 1.0013, decode.d0.loss_cls: 1.9188, decode.d0.loss_mask: 0.7371, decode.d0.loss_dice: 1.1750, decode.d1.loss_cls: 0.7475, decode.d1.loss_mask: 0.7221, decode.d1.loss_dice: 1.0634, decode.d2.loss_cls: 0.6612, decode.d2.loss_mask: 0.7051, decode.d2.loss_dice: 1.0308, decode.d3.loss_cls: 0.6232, decode.d3.loss_mask: 0.6984, decode.d3.loss_dice: 1.0076, decode.d4.loss_cls: 0.6074, decode.d4.loss_mask: 0.6982, decode.d4.loss_dice: 1.0115, decode.d5.loss_cls: 0.6032, decode.d5.loss_mask: 0.6964, decode.d5.loss_dice: 1.0108, decode.d6.loss_cls: 0.6075, decode.d6.loss_mask: 0.6965, decode.d6.loss_dice: 0.9927, decode.d7.loss_cls: 0.6020, decode.d7.loss_mask: 0.6993, decode.d7.loss_dice: 1.0070, decode.d8.loss_cls: 0.6016, decode.d8.loss_mask: 0.6969, decode.d8.loss_dice: 1.0018, loss: 24.9262, grad_norm: 77.6380 2023-11-22 00:50:02,256 - mmseg - INFO - Iter [21800/160000] lr: 8.227e-06, eta: 22:40:19, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6001, decode.loss_mask: 0.6914, decode.loss_dice: 1.0043, decode.d0.loss_cls: 1.8403, decode.d0.loss_mask: 0.7302, decode.d0.loss_dice: 1.1947, decode.d1.loss_cls: 0.7352, decode.d1.loss_mask: 0.7138, decode.d1.loss_dice: 1.0809, decode.d2.loss_cls: 0.6513, decode.d2.loss_mask: 0.7004, decode.d2.loss_dice: 1.0454, decode.d3.loss_cls: 0.6184, decode.d3.loss_mask: 0.6985, decode.d3.loss_dice: 1.0216, decode.d4.loss_cls: 0.6126, decode.d4.loss_mask: 0.6952, decode.d4.loss_dice: 1.0219, decode.d5.loss_cls: 0.6052, decode.d5.loss_mask: 0.6956, decode.d5.loss_dice: 1.0179, decode.d6.loss_cls: 0.5987, decode.d6.loss_mask: 0.6956, decode.d6.loss_dice: 1.0014, decode.d7.loss_cls: 0.5920, decode.d7.loss_mask: 0.6932, decode.d7.loss_dice: 1.0124, decode.d8.loss_cls: 0.5994, decode.d8.loss_mask: 0.6876, decode.d8.loss_dice: 1.0090, loss: 24.8642, grad_norm: 75.6350 2023-11-22 00:50:30,754 - mmseg - INFO - Iter [21850/160000] lr: 8.224e-06, eta: 22:39:43, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5949, decode.loss_mask: 0.6860, decode.loss_dice: 0.9838, decode.d0.loss_cls: 1.8973, decode.d0.loss_mask: 0.7373, decode.d0.loss_dice: 1.1733, decode.d1.loss_cls: 0.7356, decode.d1.loss_mask: 0.7270, decode.d1.loss_dice: 1.0719, decode.d2.loss_cls: 0.6549, decode.d2.loss_mask: 0.7024, decode.d2.loss_dice: 1.0186, decode.d3.loss_cls: 0.6221, decode.d3.loss_mask: 0.6884, decode.d3.loss_dice: 0.9920, decode.d4.loss_cls: 0.6136, decode.d4.loss_mask: 0.6828, decode.d4.loss_dice: 0.9949, decode.d5.loss_cls: 0.6151, decode.d5.loss_mask: 0.6878, decode.d5.loss_dice: 0.9950, decode.d6.loss_cls: 0.6014, decode.d6.loss_mask: 0.6822, decode.d6.loss_dice: 0.9847, decode.d7.loss_cls: 0.6021, decode.d7.loss_mask: 0.6810, decode.d7.loss_dice: 0.9855, decode.d8.loss_cls: 0.5972, decode.d8.loss_mask: 0.6846, decode.d8.loss_dice: 0.9879, loss: 24.6812, grad_norm: 74.3459 2023-11-22 00:50:59,132 - mmseg - INFO - Iter [21900/160000] lr: 8.221e-06, eta: 22:39:07, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5933, decode.loss_mask: 0.6774, decode.loss_dice: 0.9843, decode.d0.loss_cls: 1.8785, decode.d0.loss_mask: 0.7153, decode.d0.loss_dice: 1.1670, decode.d1.loss_cls: 0.7349, decode.d1.loss_mask: 0.7021, decode.d1.loss_dice: 1.0664, decode.d2.loss_cls: 0.6361, decode.d2.loss_mask: 0.6938, decode.d2.loss_dice: 1.0257, decode.d3.loss_cls: 0.6190, decode.d3.loss_mask: 0.6821, decode.d3.loss_dice: 0.9894, decode.d4.loss_cls: 0.6138, decode.d4.loss_mask: 0.6789, decode.d4.loss_dice: 0.9920, decode.d5.loss_cls: 0.6051, decode.d5.loss_mask: 0.6840, decode.d5.loss_dice: 0.9893, decode.d6.loss_cls: 0.5962, decode.d6.loss_mask: 0.6822, decode.d6.loss_dice: 0.9882, decode.d7.loss_cls: 0.5956, decode.d7.loss_mask: 0.6837, decode.d7.loss_dice: 0.9933, decode.d8.loss_cls: 0.5912, decode.d8.loss_mask: 0.6819, decode.d8.loss_dice: 0.9950, loss: 24.5358, grad_norm: 75.0633 2023-11-22 00:51:27,690 - mmseg - INFO - Iter [21950/160000] lr: 8.218e-06, eta: 22:38:31, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5931, decode.loss_mask: 0.6681, decode.loss_dice: 0.9644, decode.d0.loss_cls: 1.9320, decode.d0.loss_mask: 0.7185, decode.d0.loss_dice: 1.1479, decode.d1.loss_cls: 0.7351, decode.d1.loss_mask: 0.7031, decode.d1.loss_dice: 1.0441, decode.d2.loss_cls: 0.6498, decode.d2.loss_mask: 0.6816, decode.d2.loss_dice: 0.9971, decode.d3.loss_cls: 0.6173, decode.d3.loss_mask: 0.6814, decode.d3.loss_dice: 0.9760, decode.d4.loss_cls: 0.6078, decode.d4.loss_mask: 0.6762, decode.d4.loss_dice: 0.9689, decode.d5.loss_cls: 0.6056, decode.d5.loss_mask: 0.6761, decode.d5.loss_dice: 0.9725, decode.d6.loss_cls: 0.6028, decode.d6.loss_mask: 0.6681, decode.d6.loss_dice: 0.9665, decode.d7.loss_cls: 0.5918, decode.d7.loss_mask: 0.6709, decode.d7.loss_dice: 0.9699, decode.d8.loss_cls: 0.5961, decode.d8.loss_mask: 0.6729, decode.d8.loss_dice: 0.9702, loss: 24.3255, grad_norm: 75.0310 2023-11-22 00:51:56,517 - mmseg - INFO - Saving checkpoint at 22000 iterations 2023-11-22 00:52:04,469 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 00:52:04,469 - mmseg - INFO - Iter [22000/160000] lr: 8.215e-06, eta: 22:38:47, time: 0.736, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5666, decode.loss_mask: 0.6653, decode.loss_dice: 0.9745, decode.d0.loss_cls: 1.8592, decode.d0.loss_mask: 0.6913, decode.d0.loss_dice: 1.1370, decode.d1.loss_cls: 0.7003, decode.d1.loss_mask: 0.6891, decode.d1.loss_dice: 1.0436, decode.d2.loss_cls: 0.6254, decode.d2.loss_mask: 0.6724, decode.d2.loss_dice: 1.0030, decode.d3.loss_cls: 0.5957, decode.d3.loss_mask: 0.6586, decode.d3.loss_dice: 0.9797, decode.d4.loss_cls: 0.5862, decode.d4.loss_mask: 0.6670, decode.d4.loss_dice: 0.9766, decode.d5.loss_cls: 0.5764, decode.d5.loss_mask: 0.6603, decode.d5.loss_dice: 0.9781, decode.d6.loss_cls: 0.5721, decode.d6.loss_mask: 0.6628, decode.d6.loss_dice: 0.9714, decode.d7.loss_cls: 0.5690, decode.d7.loss_mask: 0.6658, decode.d7.loss_dice: 0.9731, decode.d8.loss_cls: 0.5627, decode.d8.loss_mask: 0.6674, decode.d8.loss_dice: 0.9707, loss: 23.9212, grad_norm: 70.4489 2023-11-22 00:52:24,039 - mmseg - INFO - per class results: 2023-11-22 00:52:24,045 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.7 | 87.09 | | building | 83.57 | 90.49 | | sky | 95.01 | 97.39 | | floor | 83.83 | 89.51 | | tree | 76.36 | 88.28 | | ceiling | 85.85 | 93.1 | | road | 85.93 | 89.55 | | bed | 92.12 | 95.79 | | windowpane | 62.34 | 80.98 | | grass | 59.49 | 66.66 | | cabinet | 59.47 | 70.43 | | sidewalk | 68.94 | 87.17 | | person | 86.3 | 93.29 | | earth | 37.61 | 48.88 | | door | 53.42 | 77.19 | | table | 68.17 | 81.92 | | mountain | 57.98 | 74.7 | | plant | 52.87 | 67.63 | | curtain | 76.28 | 87.18 | | chair | 61.78 | 74.94 | | car | 87.5 | 94.23 | | water | 53.01 | 79.25 | | painting | 68.7 | 91.05 | | sofa | 74.24 | 84.87 | | shelf | 44.56 | 61.35 | | house | 38.9 | 54.79 | | sea | 46.53 | 60.24 | | mirror | 70.97 | 83.37 | | rug | 67.73 | 84.91 | | field | 23.72 | 62.85 | | armchair | 44.96 | 66.87 | | seat | 66.69 | 83.24 | | fence | 44.98 | 69.34 | | desk | 44.19 | 69.43 | | rock | 51.64 | 74.97 | | wardrobe | 46.07 | 77.67 | | lamp | 69.55 | 81.5 | | bathtub | 80.81 | 91.08 | | railing | 39.52 | 62.29 | | cushion | 66.37 | 75.34 | | base | 21.29 | 27.63 | | box | 32.82 | 53.2 | | column | 54.61 | 72.58 | | signboard | 44.19 | 58.57 | | chest of drawers | 37.67 | 74.36 | | counter | 39.38 | 51.26 | | sand | 36.78 | 50.58 | | sink | 76.01 | 85.96 | | skyscraper | 44.67 | 60.0 | | fireplace | 69.61 | 90.86 | | refrigerator | 81.37 | 90.59 | | grandstand | 62.22 | 71.08 | | path | 22.0 | 29.35 | | stairs | 20.89 | 28.21 | | runway | 74.4 | 94.72 | | case | 65.1 | 80.97 | | pool table | 94.31 | 96.83 | | pillow | 63.38 | 79.41 | | screen door | 69.34 | 91.32 | | stairway | 22.23 | 45.21 | | river | 9.62 | 11.77 | | bridge | 74.03 | 86.56 | | bookcase | 33.39 | 52.28 | | blind | 40.46 | 50.54 | | coffee table | 68.26 | 83.64 | | toilet | 89.06 | 94.01 | | flower | 42.71 | 58.78 | | book | 54.02 | 80.28 | | hill | 6.61 | 15.77 | | bench | 60.55 | 79.08 | | countertop | 58.44 | 83.51 | | stove | 74.3 | 84.05 | | palm | 58.11 | 77.51 | | kitchen island | 37.2 | 83.66 | | computer | 75.75 | 86.3 | | swivel chair | 45.42 | 88.68 | | boat | 76.18 | 93.25 | | bar | 22.98 | 23.74 | | arcade machine | 53.23 | 59.34 | | hovel | 40.48 | 48.77 | | bus | 91.01 | 96.66 | | towel | 70.93 | 95.23 | | light | 57.55 | 82.13 | | truck | 48.14 | 68.56 | | tower | 23.53 | 42.29 | | chandelier | 64.11 | 73.97 | | awning | 39.41 | 56.89 | | streetlight | 40.79 | 66.15 | | booth | 38.3 | 38.79 | | television receiver | 77.3 | 90.07 | | airplane | 61.03 | 71.76 | | dirt track | 18.5 | 25.54 | | apparel | 27.51 | 54.09 | | pole | 29.02 | 50.24 | | land | 0.9 | 1.04 | | bannister | 11.96 | 18.05 | | escalator | 4.31 | 4.66 | | ottoman | 57.98 | 76.44 | | bottle | 35.79 | 49.51 | | buffet | 38.71 | 50.31 | | poster | 23.45 | 37.26 | | stage | 14.9 | 21.49 | | van | 50.01 | 72.04 | | ship | 4.75 | 4.78 | | fountain | 18.84 | 23.35 | | conveyer belt | 70.94 | 95.3 | | canopy | 42.03 | 64.04 | | washer | 71.11 | 76.07 | | plaything | 33.99 | 51.5 | | swimming pool | 50.32 | 54.9 | | stool | 49.06 | 69.07 | | barrel | 75.37 | 88.16 | | basket | 36.69 | 67.5 | | waterfall | 62.87 | 87.24 | | tent | 92.75 | 98.48 | | bag | 23.25 | 36.79 | | minibike | 70.82 | 91.44 | | cradle | 86.89 | 97.88 | | oven | 19.69 | 58.94 | | ball | 45.77 | 71.87 | | food | 61.94 | 79.11 | | step | 27.85 | 36.95 | | tank | 34.57 | 40.0 | | trade name | 39.05 | 51.75 | | microwave | 39.98 | 46.63 | | pot | 46.84 | 54.44 | | animal | 79.25 | 82.73 | | bicycle | 59.95 | 85.63 | | lake | 0.0 | 0.0 | | dishwasher | 75.19 | 86.89 | | screen | 45.15 | 90.15 | | blanket | 27.86 | 34.6 | | sculpture | 55.58 | 91.78 | | hood | 59.14 | 75.46 | | sconce | 55.26 | 64.72 | | vase | 53.39 | 77.14 | | traffic light | 40.18 | 76.16 | | tray | 20.2 | 34.38 | | ashcan | 45.96 | 72.91 | | fan | 69.69 | 85.68 | | pier | 8.87 | 13.41 | | crt screen | 0.0 | 0.0 | | plate | 66.06 | 78.46 | | monitor | 6.26 | 7.34 | | bulletin board | 27.44 | 35.79 | | shower | 16.56 | 30.02 | | radiator | 64.68 | 90.9 | | glass | 23.9 | 26.18 | | clock | 36.05 | 49.11 | | flag | 69.35 | 85.92 | +---------------------+-------+-------+ 2023-11-22 00:52:24,045 - mmseg - INFO - Summary: 2023-11-22 00:52:24,045 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.68 | 50.98 | 65.93 | +-------+-------+-------+ 2023-11-22 00:52:24,341 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_l_640_160k_ade20k_ss/best_mIoU_iter_20000.pth was removed 2023-11-22 00:52:31,410 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_22000.pth. 2023-11-22 00:52:31,410 - mmseg - INFO - Best mIoU is 0.5098 at 22000 iter. 2023-11-22 00:52:31,411 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 00:52:31,411 - mmseg - INFO - Iter(val) [250] aAcc: 0.8368, mIoU: 0.5098, mAcc: 0.6593, IoU.wall: 0.7970, IoU.building: 0.8357, IoU.sky: 0.9501, IoU.floor: 0.8383, IoU.tree: 0.7636, IoU.ceiling: 0.8585, IoU.road: 0.8593, IoU.bed : 0.9212, IoU.windowpane: 0.6234, IoU.grass: 0.5949, IoU.cabinet: 0.5947, IoU.sidewalk: 0.6894, IoU.person: 0.8630, IoU.earth: 0.3761, IoU.door: 0.5342, IoU.table: 0.6817, IoU.mountain: 0.5798, IoU.plant: 0.5287, IoU.curtain: 0.7628, IoU.chair: 0.6178, IoU.car: 0.8750, IoU.water: 0.5301, IoU.painting: 0.6870, IoU.sofa: 0.7424, IoU.shelf: 0.4456, IoU.house: 0.3890, IoU.sea: 0.4653, IoU.mirror: 0.7097, IoU.rug: 0.6773, IoU.field: 0.2372, IoU.armchair: 0.4496, IoU.seat: 0.6669, IoU.fence: 0.4498, IoU.desk: 0.4419, IoU.rock: 0.5164, IoU.wardrobe: 0.4607, IoU.lamp: 0.6955, IoU.bathtub: 0.8081, IoU.railing: 0.3952, IoU.cushion: 0.6637, IoU.base: 0.2129, IoU.box: 0.3282, IoU.column: 0.5461, IoU.signboard: 0.4419, IoU.chest of drawers: 0.3767, IoU.counter: 0.3938, IoU.sand: 0.3678, IoU.sink: 0.7601, IoU.skyscraper: 0.4467, IoU.fireplace: 0.6961, IoU.refrigerator: 0.8137, IoU.grandstand: 0.6222, IoU.path: 0.2200, IoU.stairs: 0.2089, IoU.runway: 0.7440, IoU.case: 0.6510, IoU.pool table: 0.9431, IoU.pillow: 0.6338, IoU.screen door: 0.6934, IoU.stairway: 0.2223, IoU.river: 0.0962, IoU.bridge: 0.7403, IoU.bookcase: 0.3339, IoU.blind: 0.4046, IoU.coffee table: 0.6826, IoU.toilet: 0.8906, IoU.flower: 0.4271, IoU.book: 0.5402, IoU.hill: 0.0661, IoU.bench: 0.6055, IoU.countertop: 0.5844, IoU.stove: 0.7430, IoU.palm: 0.5811, IoU.kitchen island: 0.3720, IoU.computer: 0.7575, IoU.swivel chair: 0.4542, IoU.boat: 0.7618, IoU.bar: 0.2298, IoU.arcade machine: 0.5323, IoU.hovel: 0.4048, IoU.bus: 0.9101, IoU.towel: 0.7093, IoU.light: 0.5755, IoU.truck: 0.4814, IoU.tower: 0.2353, IoU.chandelier: 0.6411, IoU.awning: 0.3941, IoU.streetlight: 0.4079, IoU.booth: 0.3830, IoU.television receiver: 0.7730, IoU.airplane: 0.6103, IoU.dirt track: 0.1850, IoU.apparel: 0.2751, IoU.pole: 0.2902, IoU.land: 0.0090, IoU.bannister: 0.1196, IoU.escalator: 0.0431, IoU.ottoman: 0.5798, IoU.bottle: 0.3579, IoU.buffet: 0.3871, IoU.poster: 0.2345, IoU.stage: 0.1490, IoU.van: 0.5001, IoU.ship: 0.0475, IoU.fountain: 0.1884, IoU.conveyer belt: 0.7094, IoU.canopy: 0.4203, IoU.washer: 0.7111, IoU.plaything: 0.3399, IoU.swimming pool: 0.5032, IoU.stool: 0.4906, IoU.barrel: 0.7537, IoU.basket: 0.3669, IoU.waterfall: 0.6287, IoU.tent: 0.9275, IoU.bag: 0.2325, IoU.minibike: 0.7082, IoU.cradle: 0.8689, IoU.oven: 0.1969, IoU.ball: 0.4577, IoU.food: 0.6194, IoU.step: 0.2785, IoU.tank: 0.3457, IoU.trade name: 0.3905, IoU.microwave: 0.3998, IoU.pot: 0.4684, IoU.animal: 0.7925, IoU.bicycle: 0.5995, IoU.lake: 0.0000, IoU.dishwasher: 0.7519, IoU.screen: 0.4515, IoU.blanket: 0.2786, IoU.sculpture: 0.5558, IoU.hood: 0.5914, IoU.sconce: 0.5526, IoU.vase: 0.5339, IoU.traffic light: 0.4018, IoU.tray: 0.2020, IoU.ashcan: 0.4596, IoU.fan: 0.6969, IoU.pier: 0.0887, IoU.crt screen: 0.0000, IoU.plate: 0.6606, IoU.monitor: 0.0626, IoU.bulletin board: 0.2744, IoU.shower: 0.1656, IoU.radiator: 0.6468, IoU.glass: 0.2390, IoU.clock: 0.3605, IoU.flag: 0.6935, Acc.wall: 0.8709, Acc.building: 0.9049, Acc.sky: 0.9739, Acc.floor: 0.8951, Acc.tree: 0.8828, Acc.ceiling: 0.9310, Acc.road: 0.8955, Acc.bed : 0.9579, Acc.windowpane: 0.8098, Acc.grass: 0.6666, Acc.cabinet: 0.7043, Acc.sidewalk: 0.8717, Acc.person: 0.9329, Acc.earth: 0.4888, Acc.door: 0.7719, Acc.table: 0.8192, Acc.mountain: 0.7470, Acc.plant: 0.6763, Acc.curtain: 0.8718, Acc.chair: 0.7494, Acc.car: 0.9423, Acc.water: 0.7925, Acc.painting: 0.9105, Acc.sofa: 0.8487, Acc.shelf: 0.6135, Acc.house: 0.5479, Acc.sea: 0.6024, Acc.mirror: 0.8337, Acc.rug: 0.8491, Acc.field: 0.6285, Acc.armchair: 0.6687, Acc.seat: 0.8324, Acc.fence: 0.6934, Acc.desk: 0.6943, Acc.rock: 0.7497, Acc.wardrobe: 0.7767, Acc.lamp: 0.8150, Acc.bathtub: 0.9108, Acc.railing: 0.6229, Acc.cushion: 0.7534, Acc.base: 0.2763, Acc.box: 0.5320, Acc.column: 0.7258, Acc.signboard: 0.5857, Acc.chest of drawers: 0.7436, Acc.counter: 0.5126, Acc.sand: 0.5058, Acc.sink: 0.8596, Acc.skyscraper: 0.6000, Acc.fireplace: 0.9086, Acc.refrigerator: 0.9059, Acc.grandstand: 0.7108, Acc.path: 0.2935, Acc.stairs: 0.2821, Acc.runway: 0.9472, Acc.case: 0.8097, Acc.pool table: 0.9683, Acc.pillow: 0.7941, Acc.screen door: 0.9132, Acc.stairway: 0.4521, Acc.river: 0.1177, Acc.bridge: 0.8656, Acc.bookcase: 0.5228, Acc.blind: 0.5054, Acc.coffee table: 0.8364, Acc.toilet: 0.9401, Acc.flower: 0.5878, Acc.book: 0.8028, Acc.hill: 0.1577, Acc.bench: 0.7908, Acc.countertop: 0.8351, Acc.stove: 0.8405, Acc.palm: 0.7751, Acc.kitchen island: 0.8366, Acc.computer: 0.8630, Acc.swivel chair: 0.8868, Acc.boat: 0.9325, Acc.bar: 0.2374, Acc.arcade machine: 0.5934, Acc.hovel: 0.4877, Acc.bus: 0.9666, Acc.towel: 0.9523, Acc.light: 0.8213, Acc.truck: 0.6856, Acc.tower: 0.4229, Acc.chandelier: 0.7397, Acc.awning: 0.5689, Acc.streetlight: 0.6615, Acc.booth: 0.3879, Acc.television receiver: 0.9007, Acc.airplane: 0.7176, Acc.dirt track: 0.2554, Acc.apparel: 0.5409, Acc.pole: 0.5024, Acc.land: 0.0104, Acc.bannister: 0.1805, Acc.escalator: 0.0466, Acc.ottoman: 0.7644, Acc.bottle: 0.4951, Acc.buffet: 0.5031, Acc.poster: 0.3726, Acc.stage: 0.2149, Acc.van: 0.7204, Acc.ship: 0.0478, Acc.fountain: 0.2335, Acc.conveyer belt: 0.9530, Acc.canopy: 0.6404, Acc.washer: 0.7607, Acc.plaything: 0.5150, Acc.swimming pool: 0.5490, Acc.stool: 0.6907, Acc.barrel: 0.8816, Acc.basket: 0.6750, Acc.waterfall: 0.8724, Acc.tent: 0.9848, Acc.bag: 0.3679, Acc.minibike: 0.9144, Acc.cradle: 0.9788, Acc.oven: 0.5894, Acc.ball: 0.7187, Acc.food: 0.7911, Acc.step: 0.3695, Acc.tank: 0.4000, Acc.trade name: 0.5175, Acc.microwave: 0.4663, Acc.pot: 0.5444, Acc.animal: 0.8273, Acc.bicycle: 0.8563, Acc.lake: 0.0000, Acc.dishwasher: 0.8689, Acc.screen: 0.9015, Acc.blanket: 0.3460, Acc.sculpture: 0.9178, Acc.hood: 0.7546, Acc.sconce: 0.6472, Acc.vase: 0.7714, Acc.traffic light: 0.7616, Acc.tray: 0.3438, Acc.ashcan: 0.7291, Acc.fan: 0.8568, Acc.pier: 0.1341, Acc.crt screen: 0.0000, Acc.plate: 0.7846, Acc.monitor: 0.0734, Acc.bulletin board: 0.3579, Acc.shower: 0.3002, Acc.radiator: 0.9090, Acc.glass: 0.2618, Acc.clock: 0.4911, Acc.flag: 0.8592 2023-11-22 00:52:59,781 - mmseg - INFO - Iter [22050/160000] lr: 8.212e-06, eta: 22:40:59, time: 1.106, data_time: 0.552, memory: 38143, decode.loss_cls: 0.5962, decode.loss_mask: 0.6873, decode.loss_dice: 0.9835, decode.d0.loss_cls: 1.8700, decode.d0.loss_mask: 0.7327, decode.d0.loss_dice: 1.1687, decode.d1.loss_cls: 0.7241, decode.d1.loss_mask: 0.7174, decode.d1.loss_dice: 1.0707, decode.d2.loss_cls: 0.6467, decode.d2.loss_mask: 0.6982, decode.d2.loss_dice: 1.0260, decode.d3.loss_cls: 0.6286, decode.d3.loss_mask: 0.6920, decode.d3.loss_dice: 0.9994, decode.d4.loss_cls: 0.6131, decode.d4.loss_mask: 0.6876, decode.d4.loss_dice: 0.9950, decode.d5.loss_cls: 0.6053, decode.d5.loss_mask: 0.6865, decode.d5.loss_dice: 0.9981, decode.d6.loss_cls: 0.5959, decode.d6.loss_mask: 0.6847, decode.d6.loss_dice: 0.9933, decode.d7.loss_cls: 0.5957, decode.d7.loss_mask: 0.6854, decode.d7.loss_dice: 0.9887, decode.d8.loss_cls: 0.5943, decode.d8.loss_mask: 0.6840, decode.d8.loss_dice: 0.9862, loss: 24.6353, grad_norm: 77.0918 2023-11-22 00:53:28,078 - mmseg - INFO - Iter [22100/160000] lr: 8.209e-06, eta: 22:40:21, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5700, decode.loss_mask: 0.7024, decode.loss_dice: 0.9749, decode.d0.loss_cls: 1.7933, decode.d0.loss_mask: 0.7424, decode.d0.loss_dice: 1.1579, decode.d1.loss_cls: 0.7163, decode.d1.loss_mask: 0.7321, decode.d1.loss_dice: 1.0589, decode.d2.loss_cls: 0.6313, decode.d2.loss_mask: 0.7120, decode.d2.loss_dice: 1.0080, decode.d3.loss_cls: 0.5914, decode.d3.loss_mask: 0.7056, decode.d3.loss_dice: 0.9855, decode.d4.loss_cls: 0.5867, decode.d4.loss_mask: 0.7045, decode.d4.loss_dice: 0.9838, decode.d5.loss_cls: 0.5739, decode.d5.loss_mask: 0.7030, decode.d5.loss_dice: 0.9839, decode.d6.loss_cls: 0.5779, decode.d6.loss_mask: 0.6999, decode.d6.loss_dice: 0.9752, decode.d7.loss_cls: 0.5739, decode.d7.loss_mask: 0.7026, decode.d7.loss_dice: 0.9774, decode.d8.loss_cls: 0.5691, decode.d8.loss_mask: 0.7093, decode.d8.loss_dice: 0.9804, loss: 24.3837, grad_norm: 78.3827 2023-11-22 00:53:56,346 - mmseg - INFO - Iter [22150/160000] lr: 8.206e-06, eta: 22:39:43, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5862, decode.loss_mask: 0.6877, decode.loss_dice: 0.9574, decode.d0.loss_cls: 1.8465, decode.d0.loss_mask: 0.7245, decode.d0.loss_dice: 1.1332, decode.d1.loss_cls: 0.7131, decode.d1.loss_mask: 0.7191, decode.d1.loss_dice: 1.0418, decode.d2.loss_cls: 0.6304, decode.d2.loss_mask: 0.7046, decode.d2.loss_dice: 0.9924, decode.d3.loss_cls: 0.6129, decode.d3.loss_mask: 0.6909, decode.d3.loss_dice: 0.9713, decode.d4.loss_cls: 0.5943, decode.d4.loss_mask: 0.6926, decode.d4.loss_dice: 0.9690, decode.d5.loss_cls: 0.5895, decode.d5.loss_mask: 0.6904, decode.d5.loss_dice: 0.9713, decode.d6.loss_cls: 0.5864, decode.d6.loss_mask: 0.6894, decode.d6.loss_dice: 0.9593, decode.d7.loss_cls: 0.5887, decode.d7.loss_mask: 0.6902, decode.d7.loss_dice: 0.9608, decode.d8.loss_cls: 0.5868, decode.d8.loss_mask: 0.6884, decode.d8.loss_dice: 0.9585, loss: 24.2274, grad_norm: 72.0403 2023-11-22 00:54:24,703 - mmseg - INFO - Iter [22200/160000] lr: 8.203e-06, eta: 22:39:06, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5902, decode.loss_mask: 0.6798, decode.loss_dice: 0.9803, decode.d0.loss_cls: 1.8565, decode.d0.loss_mask: 0.7247, decode.d0.loss_dice: 1.1629, decode.d1.loss_cls: 0.7330, decode.d1.loss_mask: 0.7098, decode.d1.loss_dice: 1.0550, decode.d2.loss_cls: 0.6536, decode.d2.loss_mask: 0.6948, decode.d2.loss_dice: 1.0096, decode.d3.loss_cls: 0.6210, decode.d3.loss_mask: 0.6829, decode.d3.loss_dice: 0.9799, decode.d4.loss_cls: 0.6144, decode.d4.loss_mask: 0.6870, decode.d4.loss_dice: 0.9863, decode.d5.loss_cls: 0.6051, decode.d5.loss_mask: 0.6808, decode.d5.loss_dice: 0.9838, decode.d6.loss_cls: 0.6044, decode.d6.loss_mask: 0.6823, decode.d6.loss_dice: 0.9745, decode.d7.loss_cls: 0.5979, decode.d7.loss_mask: 0.6813, decode.d7.loss_dice: 0.9820, decode.d8.loss_cls: 0.5942, decode.d8.loss_mask: 0.6793, decode.d8.loss_dice: 0.9762, loss: 24.4635, grad_norm: 70.4797 2023-11-22 00:54:53,317 - mmseg - INFO - Iter [22250/160000] lr: 8.200e-06, eta: 22:38:30, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5805, decode.loss_mask: 0.6767, decode.loss_dice: 0.9778, decode.d0.loss_cls: 1.8785, decode.d0.loss_mask: 0.7251, decode.d0.loss_dice: 1.1668, decode.d1.loss_cls: 0.7259, decode.d1.loss_mask: 0.7075, decode.d1.loss_dice: 1.0681, decode.d2.loss_cls: 0.6351, decode.d2.loss_mask: 0.6957, decode.d2.loss_dice: 1.0175, decode.d3.loss_cls: 0.6059, decode.d3.loss_mask: 0.6886, decode.d3.loss_dice: 0.9929, decode.d4.loss_cls: 0.5972, decode.d4.loss_mask: 0.6872, decode.d4.loss_dice: 0.9961, decode.d5.loss_cls: 0.5937, decode.d5.loss_mask: 0.6839, decode.d5.loss_dice: 0.9958, decode.d6.loss_cls: 0.5862, decode.d6.loss_mask: 0.6829, decode.d6.loss_dice: 0.9817, decode.d7.loss_cls: 0.5860, decode.d7.loss_mask: 0.6841, decode.d7.loss_dice: 0.9846, decode.d8.loss_cls: 0.5771, decode.d8.loss_mask: 0.6852, decode.d8.loss_dice: 0.9820, loss: 24.4465, grad_norm: 76.0994 2023-11-22 00:55:21,975 - mmseg - INFO - Iter [22300/160000] lr: 8.197e-06, eta: 22:37:55, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6273, decode.loss_mask: 0.6773, decode.loss_dice: 0.9980, decode.d0.loss_cls: 1.9142, decode.d0.loss_mask: 0.7255, decode.d0.loss_dice: 1.1862, decode.d1.loss_cls: 0.7725, decode.d1.loss_mask: 0.7141, decode.d1.loss_dice: 1.0808, decode.d2.loss_cls: 0.6734, decode.d2.loss_mask: 0.6951, decode.d2.loss_dice: 1.0321, decode.d3.loss_cls: 0.6513, decode.d3.loss_mask: 0.6758, decode.d3.loss_dice: 1.0066, decode.d4.loss_cls: 0.6506, decode.d4.loss_mask: 0.6762, decode.d4.loss_dice: 1.0029, decode.d5.loss_cls: 0.6429, decode.d5.loss_mask: 0.6775, decode.d5.loss_dice: 1.0023, decode.d6.loss_cls: 0.6356, decode.d6.loss_mask: 0.6720, decode.d6.loss_dice: 0.9928, decode.d7.loss_cls: 0.6248, decode.d7.loss_mask: 0.6742, decode.d7.loss_dice: 0.9952, decode.d8.loss_cls: 0.6234, decode.d8.loss_mask: 0.6784, decode.d8.loss_dice: 0.9996, loss: 24.9787, grad_norm: 73.4028 2023-11-22 00:55:50,496 - mmseg - INFO - Iter [22350/160000] lr: 8.194e-06, eta: 22:37:19, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5624, decode.loss_mask: 0.6828, decode.loss_dice: 0.9455, decode.d0.loss_cls: 1.8448, decode.d0.loss_mask: 0.7246, decode.d0.loss_dice: 1.1243, decode.d1.loss_cls: 0.6971, decode.d1.loss_mask: 0.7150, decode.d1.loss_dice: 1.0216, decode.d2.loss_cls: 0.6193, decode.d2.loss_mask: 0.6940, decode.d2.loss_dice: 0.9843, decode.d3.loss_cls: 0.5894, decode.d3.loss_mask: 0.6876, decode.d3.loss_dice: 0.9652, decode.d4.loss_cls: 0.5793, decode.d4.loss_mask: 0.6813, decode.d4.loss_dice: 0.9606, decode.d5.loss_cls: 0.5708, decode.d5.loss_mask: 0.6861, decode.d5.loss_dice: 0.9586, decode.d6.loss_cls: 0.5747, decode.d6.loss_mask: 0.6852, decode.d6.loss_dice: 0.9488, decode.d7.loss_cls: 0.5654, decode.d7.loss_mask: 0.6863, decode.d7.loss_dice: 0.9528, decode.d8.loss_cls: 0.5672, decode.d8.loss_mask: 0.6836, decode.d8.loss_dice: 0.9527, loss: 23.9114, grad_norm: 74.9286 2023-11-22 00:56:19,029 - mmseg - INFO - Iter [22400/160000] lr: 8.191e-06, eta: 22:36:43, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5958, decode.loss_mask: 0.6900, decode.loss_dice: 0.9544, decode.d0.loss_cls: 1.8291, decode.d0.loss_mask: 0.7261, decode.d0.loss_dice: 1.1346, decode.d1.loss_cls: 0.7247, decode.d1.loss_mask: 0.7221, decode.d1.loss_dice: 1.0356, decode.d2.loss_cls: 0.6493, decode.d2.loss_mask: 0.6953, decode.d2.loss_dice: 0.9912, decode.d3.loss_cls: 0.6238, decode.d3.loss_mask: 0.6911, decode.d3.loss_dice: 0.9633, decode.d4.loss_cls: 0.6160, decode.d4.loss_mask: 0.6877, decode.d4.loss_dice: 0.9658, decode.d5.loss_cls: 0.6209, decode.d5.loss_mask: 0.6859, decode.d5.loss_dice: 0.9623, decode.d6.loss_cls: 0.5989, decode.d6.loss_mask: 0.6872, decode.d6.loss_dice: 0.9627, decode.d7.loss_cls: 0.5986, decode.d7.loss_mask: 0.6919, decode.d7.loss_dice: 0.9593, decode.d8.loss_cls: 0.6056, decode.d8.loss_mask: 0.6902, decode.d8.loss_dice: 0.9540, loss: 24.3136, grad_norm: 79.2942 2023-11-22 00:56:47,617 - mmseg - INFO - Iter [22450/160000] lr: 8.188e-06, eta: 22:36:07, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5879, decode.loss_mask: 0.6800, decode.loss_dice: 1.0090, decode.d0.loss_cls: 1.9093, decode.d0.loss_mask: 0.7211, decode.d0.loss_dice: 1.1901, decode.d1.loss_cls: 0.7367, decode.d1.loss_mask: 0.7048, decode.d1.loss_dice: 1.0817, decode.d2.loss_cls: 0.6445, decode.d2.loss_mask: 0.6877, decode.d2.loss_dice: 1.0424, decode.d3.loss_cls: 0.6184, decode.d3.loss_mask: 0.6778, decode.d3.loss_dice: 1.0206, decode.d4.loss_cls: 0.6142, decode.d4.loss_mask: 0.6767, decode.d4.loss_dice: 1.0196, decode.d5.loss_cls: 0.6055, decode.d5.loss_mask: 0.6796, decode.d5.loss_dice: 1.0197, decode.d6.loss_cls: 0.5979, decode.d6.loss_mask: 0.6795, decode.d6.loss_dice: 1.0082, decode.d7.loss_cls: 0.5925, decode.d7.loss_mask: 0.6791, decode.d7.loss_dice: 1.0157, decode.d8.loss_cls: 0.5908, decode.d8.loss_mask: 0.6825, decode.d8.loss_dice: 1.0115, loss: 24.7851, grad_norm: 75.8121 2023-11-22 00:57:15,915 - mmseg - INFO - Iter [22500/160000] lr: 8.185e-06, eta: 22:35:30, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5911, decode.loss_mask: 0.6670, decode.loss_dice: 0.9799, decode.d0.loss_cls: 1.8650, decode.d0.loss_mask: 0.7208, decode.d0.loss_dice: 1.1750, decode.d1.loss_cls: 0.7179, decode.d1.loss_mask: 0.7038, decode.d1.loss_dice: 1.0646, decode.d2.loss_cls: 0.6493, decode.d2.loss_mask: 0.6810, decode.d2.loss_dice: 1.0207, decode.d3.loss_cls: 0.6148, decode.d3.loss_mask: 0.6725, decode.d3.loss_dice: 0.9944, decode.d4.loss_cls: 0.6090, decode.d4.loss_mask: 0.6704, decode.d4.loss_dice: 0.9933, decode.d5.loss_cls: 0.6026, decode.d5.loss_mask: 0.6703, decode.d5.loss_dice: 0.9853, decode.d6.loss_cls: 0.5959, decode.d6.loss_mask: 0.6673, decode.d6.loss_dice: 0.9815, decode.d7.loss_cls: 0.5932, decode.d7.loss_mask: 0.6675, decode.d7.loss_dice: 0.9805, decode.d8.loss_cls: 0.5903, decode.d8.loss_mask: 0.6689, decode.d8.loss_dice: 0.9838, loss: 24.3776, grad_norm: 76.0772 2023-11-22 00:57:44,400 - mmseg - INFO - Iter [22550/160000] lr: 8.183e-06, eta: 22:34:54, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5998, decode.loss_mask: 0.6849, decode.loss_dice: 1.0249, decode.d0.loss_cls: 1.8801, decode.d0.loss_mask: 0.7306, decode.d0.loss_dice: 1.1925, decode.d1.loss_cls: 0.7384, decode.d1.loss_mask: 0.7179, decode.d1.loss_dice: 1.1016, decode.d2.loss_cls: 0.6639, decode.d2.loss_mask: 0.6955, decode.d2.loss_dice: 1.0538, decode.d3.loss_cls: 0.6305, decode.d3.loss_mask: 0.6870, decode.d3.loss_dice: 1.0301, decode.d4.loss_cls: 0.6230, decode.d4.loss_mask: 0.6857, decode.d4.loss_dice: 1.0212, decode.d5.loss_cls: 0.6112, decode.d5.loss_mask: 0.6860, decode.d5.loss_dice: 1.0261, decode.d6.loss_cls: 0.6051, decode.d6.loss_mask: 0.6867, decode.d6.loss_dice: 1.0187, decode.d7.loss_cls: 0.5967, decode.d7.loss_mask: 0.6894, decode.d7.loss_dice: 1.0175, decode.d8.loss_cls: 0.6006, decode.d8.loss_mask: 0.6912, decode.d8.loss_dice: 1.0207, loss: 25.0114, grad_norm: 75.6964 2023-11-22 00:58:13,170 - mmseg - INFO - Iter [22600/160000] lr: 8.180e-06, eta: 22:34:19, time: 0.575, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5740, decode.loss_mask: 0.6592, decode.loss_dice: 0.9763, decode.d0.loss_cls: 1.8527, decode.d0.loss_mask: 0.7008, decode.d0.loss_dice: 1.1627, decode.d1.loss_cls: 0.7119, decode.d1.loss_mask: 0.6818, decode.d1.loss_dice: 1.0663, decode.d2.loss_cls: 0.6304, decode.d2.loss_mask: 0.6729, decode.d2.loss_dice: 1.0152, decode.d3.loss_cls: 0.6006, decode.d3.loss_mask: 0.6598, decode.d3.loss_dice: 0.9883, decode.d4.loss_cls: 0.5911, decode.d4.loss_mask: 0.6595, decode.d4.loss_dice: 0.9830, decode.d5.loss_cls: 0.5866, decode.d5.loss_mask: 0.6599, decode.d5.loss_dice: 0.9808, decode.d6.loss_cls: 0.5756, decode.d6.loss_mask: 0.6610, decode.d6.loss_dice: 0.9719, decode.d7.loss_cls: 0.5731, decode.d7.loss_mask: 0.6587, decode.d7.loss_dice: 0.9774, decode.d8.loss_cls: 0.5721, decode.d8.loss_mask: 0.6573, decode.d8.loss_dice: 0.9797, loss: 24.0407, grad_norm: 74.1737 2023-11-22 00:58:41,705 - mmseg - INFO - Iter [22650/160000] lr: 8.177e-06, eta: 22:33:43, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5724, decode.loss_mask: 0.6824, decode.loss_dice: 0.9914, decode.d0.loss_cls: 1.8771, decode.d0.loss_mask: 0.7117, decode.d0.loss_dice: 1.1719, decode.d1.loss_cls: 0.7130, decode.d1.loss_mask: 0.7077, decode.d1.loss_dice: 1.0702, decode.d2.loss_cls: 0.6203, decode.d2.loss_mask: 0.6966, decode.d2.loss_dice: 1.0338, decode.d3.loss_cls: 0.5922, decode.d3.loss_mask: 0.6908, decode.d3.loss_dice: 1.0048, decode.d4.loss_cls: 0.5875, decode.d4.loss_mask: 0.6897, decode.d4.loss_dice: 1.0048, decode.d5.loss_cls: 0.5883, decode.d5.loss_mask: 0.6843, decode.d5.loss_dice: 0.9974, decode.d6.loss_cls: 0.5780, decode.d6.loss_mask: 0.6844, decode.d6.loss_dice: 0.9921, decode.d7.loss_cls: 0.5675, decode.d7.loss_mask: 0.6807, decode.d7.loss_dice: 0.9988, decode.d8.loss_cls: 0.5676, decode.d8.loss_mask: 0.6860, decode.d8.loss_dice: 0.9978, loss: 24.4413, grad_norm: 77.1074 2023-11-22 00:59:10,169 - mmseg - INFO - Iter [22700/160000] lr: 8.174e-06, eta: 22:33:07, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5657, decode.loss_mask: 0.6557, decode.loss_dice: 0.9679, decode.d0.loss_cls: 1.8759, decode.d0.loss_mask: 0.6990, decode.d0.loss_dice: 1.1473, decode.d1.loss_cls: 0.7074, decode.d1.loss_mask: 0.6856, decode.d1.loss_dice: 1.0426, decode.d2.loss_cls: 0.6208, decode.d2.loss_mask: 0.6735, decode.d2.loss_dice: 0.9994, decode.d3.loss_cls: 0.5933, decode.d3.loss_mask: 0.6675, decode.d3.loss_dice: 0.9826, decode.d4.loss_cls: 0.5856, decode.d4.loss_mask: 0.6643, decode.d4.loss_dice: 0.9785, decode.d5.loss_cls: 0.5752, decode.d5.loss_mask: 0.6582, decode.d5.loss_dice: 0.9775, decode.d6.loss_cls: 0.5736, decode.d6.loss_mask: 0.6579, decode.d6.loss_dice: 0.9693, decode.d7.loss_cls: 0.5668, decode.d7.loss_mask: 0.6585, decode.d7.loss_dice: 0.9724, decode.d8.loss_cls: 0.5717, decode.d8.loss_mask: 0.6600, decode.d8.loss_dice: 0.9749, loss: 23.9284, grad_norm: 72.6657 2023-11-22 00:59:41,067 - mmseg - INFO - Iter [22750/160000] lr: 8.171e-06, eta: 22:32:45, time: 0.618, data_time: 0.060, memory: 38143, decode.loss_cls: 0.5645, decode.loss_mask: 0.6866, decode.loss_dice: 0.9915, decode.d0.loss_cls: 1.8215, decode.d0.loss_mask: 0.7244, decode.d0.loss_dice: 1.1809, decode.d1.loss_cls: 0.7240, decode.d1.loss_mask: 0.7140, decode.d1.loss_dice: 1.0639, decode.d2.loss_cls: 0.6137, decode.d2.loss_mask: 0.6971, decode.d2.loss_dice: 1.0236, decode.d3.loss_cls: 0.5848, decode.d3.loss_mask: 0.6913, decode.d3.loss_dice: 1.0060, decode.d4.loss_cls: 0.5774, decode.d4.loss_mask: 0.6930, decode.d4.loss_dice: 1.0066, decode.d5.loss_cls: 0.5744, decode.d5.loss_mask: 0.6917, decode.d5.loss_dice: 0.9983, decode.d6.loss_cls: 0.5635, decode.d6.loss_mask: 0.6921, decode.d6.loss_dice: 0.9966, decode.d7.loss_cls: 0.5602, decode.d7.loss_mask: 0.6872, decode.d7.loss_dice: 0.9923, decode.d8.loss_cls: 0.5670, decode.d8.loss_mask: 0.6865, decode.d8.loss_dice: 0.9960, loss: 24.3705, grad_norm: 76.6374 2023-11-22 01:00:09,611 - mmseg - INFO - Iter [22800/160000] lr: 8.168e-06, eta: 22:32:10, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5383, decode.loss_mask: 0.6911, decode.loss_dice: 0.9758, decode.d0.loss_cls: 1.8140, decode.d0.loss_mask: 0.7300, decode.d0.loss_dice: 1.1399, decode.d1.loss_cls: 0.6635, decode.d1.loss_mask: 0.7204, decode.d1.loss_dice: 1.0664, decode.d2.loss_cls: 0.5830, decode.d2.loss_mask: 0.7069, decode.d2.loss_dice: 1.0125, decode.d3.loss_cls: 0.5571, decode.d3.loss_mask: 0.6965, decode.d3.loss_dice: 0.9857, decode.d4.loss_cls: 0.5491, decode.d4.loss_mask: 0.7020, decode.d4.loss_dice: 0.9945, decode.d5.loss_cls: 0.5435, decode.d5.loss_mask: 0.7009, decode.d5.loss_dice: 0.9901, decode.d6.loss_cls: 0.5397, decode.d6.loss_mask: 0.6963, decode.d6.loss_dice: 0.9753, decode.d7.loss_cls: 0.5372, decode.d7.loss_mask: 0.6965, decode.d7.loss_dice: 0.9760, decode.d8.loss_cls: 0.5302, decode.d8.loss_mask: 0.6958, decode.d8.loss_dice: 0.9837, loss: 23.9919, grad_norm: 76.2153 2023-11-22 01:00:38,183 - mmseg - INFO - Iter [22850/160000] lr: 8.165e-06, eta: 22:31:34, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5492, decode.loss_mask: 0.6876, decode.loss_dice: 0.9573, decode.d0.loss_cls: 1.8092, decode.d0.loss_mask: 0.7316, decode.d0.loss_dice: 1.1335, decode.d1.loss_cls: 0.6790, decode.d1.loss_mask: 0.7177, decode.d1.loss_dice: 1.0369, decode.d2.loss_cls: 0.6007, decode.d2.loss_mask: 0.6976, decode.d2.loss_dice: 0.9921, decode.d3.loss_cls: 0.5651, decode.d3.loss_mask: 0.6906, decode.d3.loss_dice: 0.9770, decode.d4.loss_cls: 0.5609, decode.d4.loss_mask: 0.6931, decode.d4.loss_dice: 0.9706, decode.d5.loss_cls: 0.5590, decode.d5.loss_mask: 0.6906, decode.d5.loss_dice: 0.9740, decode.d6.loss_cls: 0.5559, decode.d6.loss_mask: 0.6890, decode.d6.loss_dice: 0.9709, decode.d7.loss_cls: 0.5527, decode.d7.loss_mask: 0.6887, decode.d7.loss_dice: 0.9677, decode.d8.loss_cls: 0.5510, decode.d8.loss_mask: 0.6837, decode.d8.loss_dice: 0.9661, loss: 23.8993, grad_norm: 77.3198 2023-11-22 01:01:06,745 - mmseg - INFO - Iter [22900/160000] lr: 8.162e-06, eta: 22:30:59, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5446, decode.loss_mask: 0.6678, decode.loss_dice: 0.9419, decode.d0.loss_cls: 1.8596, decode.d0.loss_mask: 0.7045, decode.d0.loss_dice: 1.1281, decode.d1.loss_cls: 0.6828, decode.d1.loss_mask: 0.7039, decode.d1.loss_dice: 1.0259, decode.d2.loss_cls: 0.5987, decode.d2.loss_mask: 0.6808, decode.d2.loss_dice: 0.9789, decode.d3.loss_cls: 0.5684, decode.d3.loss_mask: 0.6706, decode.d3.loss_dice: 0.9565, decode.d4.loss_cls: 0.5648, decode.d4.loss_mask: 0.6689, decode.d4.loss_dice: 0.9550, decode.d5.loss_cls: 0.5575, decode.d5.loss_mask: 0.6723, decode.d5.loss_dice: 0.9494, decode.d6.loss_cls: 0.5503, decode.d6.loss_mask: 0.6721, decode.d6.loss_dice: 0.9419, decode.d7.loss_cls: 0.5447, decode.d7.loss_mask: 0.6716, decode.d7.loss_dice: 0.9435, decode.d8.loss_cls: 0.5431, decode.d8.loss_mask: 0.6726, decode.d8.loss_dice: 0.9423, loss: 23.5630, grad_norm: 71.6151 2023-11-22 01:01:35,042 - mmseg - INFO - Iter [22950/160000] lr: 8.159e-06, eta: 22:30:21, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5162, decode.loss_mask: 0.6851, decode.loss_dice: 0.9653, decode.d0.loss_cls: 1.7855, decode.d0.loss_mask: 0.7235, decode.d0.loss_dice: 1.1349, decode.d1.loss_cls: 0.6513, decode.d1.loss_mask: 0.7161, decode.d1.loss_dice: 1.0449, decode.d2.loss_cls: 0.5746, decode.d2.loss_mask: 0.6973, decode.d2.loss_dice: 1.0018, decode.d3.loss_cls: 0.5361, decode.d3.loss_mask: 0.6885, decode.d3.loss_dice: 0.9764, decode.d4.loss_cls: 0.5354, decode.d4.loss_mask: 0.6871, decode.d4.loss_dice: 0.9780, decode.d5.loss_cls: 0.5279, decode.d5.loss_mask: 0.6884, decode.d5.loss_dice: 0.9751, decode.d6.loss_cls: 0.5270, decode.d6.loss_mask: 0.6796, decode.d6.loss_dice: 0.9638, decode.d7.loss_cls: 0.5219, decode.d7.loss_mask: 0.6803, decode.d7.loss_dice: 0.9725, decode.d8.loss_cls: 0.5173, decode.d8.loss_mask: 0.6834, decode.d8.loss_dice: 0.9718, loss: 23.6070, grad_norm: 76.1526 2023-11-22 01:02:03,680 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 01:02:03,680 - mmseg - INFO - Iter [23000/160000] lr: 8.156e-06, eta: 22:29:46, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5948, decode.loss_mask: 0.6479, decode.loss_dice: 0.9529, decode.d0.loss_cls: 1.8358, decode.d0.loss_mask: 0.6892, decode.d0.loss_dice: 1.1358, decode.d1.loss_cls: 0.7283, decode.d1.loss_mask: 0.6799, decode.d1.loss_dice: 1.0357, decode.d2.loss_cls: 0.6456, decode.d2.loss_mask: 0.6664, decode.d2.loss_dice: 0.9942, decode.d3.loss_cls: 0.6142, decode.d3.loss_mask: 0.6552, decode.d3.loss_dice: 0.9654, decode.d4.loss_cls: 0.6117, decode.d4.loss_mask: 0.6522, decode.d4.loss_dice: 0.9664, decode.d5.loss_cls: 0.5975, decode.d5.loss_mask: 0.6514, decode.d5.loss_dice: 0.9668, decode.d6.loss_cls: 0.5933, decode.d6.loss_mask: 0.6463, decode.d6.loss_dice: 0.9512, decode.d7.loss_cls: 0.5910, decode.d7.loss_mask: 0.6541, decode.d7.loss_dice: 0.9597, decode.d8.loss_cls: 0.5869, decode.d8.loss_mask: 0.6491, decode.d8.loss_dice: 0.9589, loss: 23.8780, grad_norm: 76.7188 2023-11-22 01:02:32,198 - mmseg - INFO - Iter [23050/160000] lr: 8.153e-06, eta: 22:29:11, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6049, decode.loss_mask: 0.6525, decode.loss_dice: 0.9752, decode.d0.loss_cls: 1.8824, decode.d0.loss_mask: 0.6981, decode.d0.loss_dice: 1.1702, decode.d1.loss_cls: 0.7504, decode.d1.loss_mask: 0.6876, decode.d1.loss_dice: 1.0567, decode.d2.loss_cls: 0.6604, decode.d2.loss_mask: 0.6649, decode.d2.loss_dice: 1.0070, decode.d3.loss_cls: 0.6279, decode.d3.loss_mask: 0.6584, decode.d3.loss_dice: 0.9849, decode.d4.loss_cls: 0.6149, decode.d4.loss_mask: 0.6557, decode.d4.loss_dice: 0.9865, decode.d5.loss_cls: 0.6061, decode.d5.loss_mask: 0.6539, decode.d5.loss_dice: 0.9841, decode.d6.loss_cls: 0.6055, decode.d6.loss_mask: 0.6486, decode.d6.loss_dice: 0.9689, decode.d7.loss_cls: 0.5988, decode.d7.loss_mask: 0.6497, decode.d7.loss_dice: 0.9726, decode.d8.loss_cls: 0.6055, decode.d8.loss_mask: 0.6512, decode.d8.loss_dice: 0.9773, loss: 24.2609, grad_norm: 74.2463 2023-11-22 01:03:00,621 - mmseg - INFO - Iter [23100/160000] lr: 8.150e-06, eta: 22:28:34, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.6089, decode.loss_mask: 0.6528, decode.loss_dice: 0.9701, decode.d0.loss_cls: 1.8457, decode.d0.loss_mask: 0.6950, decode.d0.loss_dice: 1.1565, decode.d1.loss_cls: 0.7275, decode.d1.loss_mask: 0.6864, decode.d1.loss_dice: 1.0678, decode.d2.loss_cls: 0.6547, decode.d2.loss_mask: 0.6684, decode.d2.loss_dice: 1.0155, decode.d3.loss_cls: 0.6286, decode.d3.loss_mask: 0.6561, decode.d3.loss_dice: 0.9830, decode.d4.loss_cls: 0.6264, decode.d4.loss_mask: 0.6557, decode.d4.loss_dice: 0.9866, decode.d5.loss_cls: 0.6212, decode.d5.loss_mask: 0.6529, decode.d5.loss_dice: 0.9778, decode.d6.loss_cls: 0.6177, decode.d6.loss_mask: 0.6500, decode.d6.loss_dice: 0.9696, decode.d7.loss_cls: 0.6125, decode.d7.loss_mask: 0.6484, decode.d7.loss_dice: 0.9703, decode.d8.loss_cls: 0.6074, decode.d8.loss_mask: 0.6524, decode.d8.loss_dice: 0.9720, loss: 24.2379, grad_norm: 71.7282 2023-11-22 01:03:29,133 - mmseg - INFO - Iter [23150/160000] lr: 8.147e-06, eta: 22:27:59, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6047, decode.loss_mask: 0.6953, decode.loss_dice: 0.9976, decode.d0.loss_cls: 1.8602, decode.d0.loss_mask: 0.7333, decode.d0.loss_dice: 1.1753, decode.d1.loss_cls: 0.7399, decode.d1.loss_mask: 0.7177, decode.d1.loss_dice: 1.0685, decode.d2.loss_cls: 0.6573, decode.d2.loss_mask: 0.7058, decode.d2.loss_dice: 1.0271, decode.d3.loss_cls: 0.6296, decode.d3.loss_mask: 0.6918, decode.d3.loss_dice: 1.0075, decode.d4.loss_cls: 0.6170, decode.d4.loss_mask: 0.6966, decode.d4.loss_dice: 1.0082, decode.d5.loss_cls: 0.6172, decode.d5.loss_mask: 0.6937, decode.d5.loss_dice: 1.0018, decode.d6.loss_cls: 0.6064, decode.d6.loss_mask: 0.6885, decode.d6.loss_dice: 0.9963, decode.d7.loss_cls: 0.6052, decode.d7.loss_mask: 0.6908, decode.d7.loss_dice: 0.9959, decode.d8.loss_cls: 0.6031, decode.d8.loss_mask: 0.6910, decode.d8.loss_dice: 0.9963, loss: 24.8197, grad_norm: 73.3174 2023-11-22 01:03:57,788 - mmseg - INFO - Iter [23200/160000] lr: 8.144e-06, eta: 22:27:24, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5740, decode.loss_mask: 0.6534, decode.loss_dice: 0.9788, decode.d0.loss_cls: 1.8610, decode.d0.loss_mask: 0.6929, decode.d0.loss_dice: 1.1418, decode.d1.loss_cls: 0.7079, decode.d1.loss_mask: 0.6860, decode.d1.loss_dice: 1.0553, decode.d2.loss_cls: 0.6361, decode.d2.loss_mask: 0.6692, decode.d2.loss_dice: 1.0173, decode.d3.loss_cls: 0.5975, decode.d3.loss_mask: 0.6650, decode.d3.loss_dice: 0.9945, decode.d4.loss_cls: 0.5936, decode.d4.loss_mask: 0.6624, decode.d4.loss_dice: 0.9961, decode.d5.loss_cls: 0.5855, decode.d5.loss_mask: 0.6550, decode.d5.loss_dice: 0.9903, decode.d6.loss_cls: 0.5781, decode.d6.loss_mask: 0.6550, decode.d6.loss_dice: 0.9820, decode.d7.loss_cls: 0.5711, decode.d7.loss_mask: 0.6567, decode.d7.loss_dice: 0.9818, decode.d8.loss_cls: 0.5695, decode.d8.loss_mask: 0.6578, decode.d8.loss_dice: 0.9807, loss: 24.0465, grad_norm: 74.5757 2023-11-22 01:04:26,171 - mmseg - INFO - Iter [23250/160000] lr: 8.141e-06, eta: 22:26:47, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5521, decode.loss_mask: 0.6841, decode.loss_dice: 0.9862, decode.d0.loss_cls: 1.8418, decode.d0.loss_mask: 0.7106, decode.d0.loss_dice: 1.1568, decode.d1.loss_cls: 0.6846, decode.d1.loss_mask: 0.7025, decode.d1.loss_dice: 1.0534, decode.d2.loss_cls: 0.6206, decode.d2.loss_mask: 0.6894, decode.d2.loss_dice: 1.0144, decode.d3.loss_cls: 0.5899, decode.d3.loss_mask: 0.6860, decode.d3.loss_dice: 0.9976, decode.d4.loss_cls: 0.5823, decode.d4.loss_mask: 0.6812, decode.d4.loss_dice: 0.9986, decode.d5.loss_cls: 0.5697, decode.d5.loss_mask: 0.6863, decode.d5.loss_dice: 0.9979, decode.d6.loss_cls: 0.5693, decode.d6.loss_mask: 0.6801, decode.d6.loss_dice: 0.9841, decode.d7.loss_cls: 0.5681, decode.d7.loss_mask: 0.6832, decode.d7.loss_dice: 0.9887, decode.d8.loss_cls: 0.5583, decode.d8.loss_mask: 0.6881, decode.d8.loss_dice: 0.9917, loss: 24.1979, grad_norm: 72.6612 2023-11-22 01:04:54,554 - mmseg - INFO - Iter [23300/160000] lr: 8.138e-06, eta: 22:26:11, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5810, decode.loss_mask: 0.6875, decode.loss_dice: 0.9880, decode.d0.loss_cls: 1.8798, decode.d0.loss_mask: 0.7295, decode.d0.loss_dice: 1.1559, decode.d1.loss_cls: 0.7214, decode.d1.loss_mask: 0.7147, decode.d1.loss_dice: 1.0571, decode.d2.loss_cls: 0.6302, decode.d2.loss_mask: 0.7036, decode.d2.loss_dice: 1.0170, decode.d3.loss_cls: 0.6015, decode.d3.loss_mask: 0.6956, decode.d3.loss_dice: 0.9988, decode.d4.loss_cls: 0.5959, decode.d4.loss_mask: 0.6871, decode.d4.loss_dice: 0.9982, decode.d5.loss_cls: 0.5823, decode.d5.loss_mask: 0.6941, decode.d5.loss_dice: 0.9992, decode.d6.loss_cls: 0.5865, decode.d6.loss_mask: 0.6837, decode.d6.loss_dice: 0.9940, decode.d7.loss_cls: 0.5788, decode.d7.loss_mask: 0.6807, decode.d7.loss_dice: 0.9877, decode.d8.loss_cls: 0.5838, decode.d8.loss_mask: 0.6849, decode.d8.loss_dice: 0.9971, loss: 24.4957, grad_norm: 76.1695 2023-11-22 01:05:23,035 - mmseg - INFO - Iter [23350/160000] lr: 8.135e-06, eta: 22:25:35, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5648, decode.loss_mask: 0.6896, decode.loss_dice: 0.9792, decode.d0.loss_cls: 1.8211, decode.d0.loss_mask: 0.7248, decode.d0.loss_dice: 1.1537, decode.d1.loss_cls: 0.6969, decode.d1.loss_mask: 0.7163, decode.d1.loss_dice: 1.0574, decode.d2.loss_cls: 0.6194, decode.d2.loss_mask: 0.6997, decode.d2.loss_dice: 1.0227, decode.d3.loss_cls: 0.6004, decode.d3.loss_mask: 0.6897, decode.d3.loss_dice: 0.9964, decode.d4.loss_cls: 0.5847, decode.d4.loss_mask: 0.6929, decode.d4.loss_dice: 0.9946, decode.d5.loss_cls: 0.5819, decode.d5.loss_mask: 0.6873, decode.d5.loss_dice: 0.9935, decode.d6.loss_cls: 0.5756, decode.d6.loss_mask: 0.6884, decode.d6.loss_dice: 0.9805, decode.d7.loss_cls: 0.5676, decode.d7.loss_mask: 0.6892, decode.d7.loss_dice: 0.9826, decode.d8.loss_cls: 0.5626, decode.d8.loss_mask: 0.6917, decode.d8.loss_dice: 0.9832, loss: 24.2885, grad_norm: 75.0516 2023-11-22 01:05:51,508 - mmseg - INFO - Iter [23400/160000] lr: 8.132e-06, eta: 22:25:00, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5817, decode.loss_mask: 0.6785, decode.loss_dice: 0.9866, decode.d0.loss_cls: 1.8344, decode.d0.loss_mask: 0.7246, decode.d0.loss_dice: 1.1689, decode.d1.loss_cls: 0.6892, decode.d1.loss_mask: 0.7168, decode.d1.loss_dice: 1.0680, decode.d2.loss_cls: 0.6283, decode.d2.loss_mask: 0.6968, decode.d2.loss_dice: 1.0275, decode.d3.loss_cls: 0.5868, decode.d3.loss_mask: 0.6856, decode.d3.loss_dice: 1.0033, decode.d4.loss_cls: 0.5883, decode.d4.loss_mask: 0.6861, decode.d4.loss_dice: 1.0086, decode.d5.loss_cls: 0.5845, decode.d5.loss_mask: 0.6844, decode.d5.loss_dice: 1.0011, decode.d6.loss_cls: 0.5771, decode.d6.loss_mask: 0.6809, decode.d6.loss_dice: 0.9842, decode.d7.loss_cls: 0.5739, decode.d7.loss_mask: 0.6785, decode.d7.loss_dice: 0.9877, decode.d8.loss_cls: 0.5758, decode.d8.loss_mask: 0.6787, decode.d8.loss_dice: 0.9856, loss: 24.3522, grad_norm: 75.2510 2023-11-22 01:06:20,198 - mmseg - INFO - Iter [23450/160000] lr: 8.129e-06, eta: 22:24:25, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5984, decode.loss_mask: 0.6776, decode.loss_dice: 0.9737, decode.d0.loss_cls: 1.9015, decode.d0.loss_mask: 0.7194, decode.d0.loss_dice: 1.1586, decode.d1.loss_cls: 0.7314, decode.d1.loss_mask: 0.7170, decode.d1.loss_dice: 1.0479, decode.d2.loss_cls: 0.6507, decode.d2.loss_mask: 0.6940, decode.d2.loss_dice: 1.0082, decode.d3.loss_cls: 0.6242, decode.d3.loss_mask: 0.6861, decode.d3.loss_dice: 0.9769, decode.d4.loss_cls: 0.6182, decode.d4.loss_mask: 0.6834, decode.d4.loss_dice: 0.9781, decode.d5.loss_cls: 0.6049, decode.d5.loss_mask: 0.6820, decode.d5.loss_dice: 0.9826, decode.d6.loss_cls: 0.5995, decode.d6.loss_mask: 0.6804, decode.d6.loss_dice: 0.9767, decode.d7.loss_cls: 0.5972, decode.d7.loss_mask: 0.6786, decode.d7.loss_dice: 0.9723, decode.d8.loss_cls: 0.5988, decode.d8.loss_mask: 0.6806, decode.d8.loss_dice: 0.9759, loss: 24.4748, grad_norm: 78.1343 2023-11-22 01:06:48,897 - mmseg - INFO - Iter [23500/160000] lr: 8.126e-06, eta: 22:23:51, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5397, decode.loss_mask: 0.6884, decode.loss_dice: 0.9633, decode.d0.loss_cls: 1.7901, decode.d0.loss_mask: 0.7345, decode.d0.loss_dice: 1.1400, decode.d1.loss_cls: 0.6735, decode.d1.loss_mask: 0.7308, decode.d1.loss_dice: 1.0520, decode.d2.loss_cls: 0.5959, decode.d2.loss_mask: 0.7038, decode.d2.loss_dice: 1.0085, decode.d3.loss_cls: 0.5633, decode.d3.loss_mask: 0.6970, decode.d3.loss_dice: 0.9834, decode.d4.loss_cls: 0.5509, decode.d4.loss_mask: 0.6998, decode.d4.loss_dice: 0.9843, decode.d5.loss_cls: 0.5520, decode.d5.loss_mask: 0.6994, decode.d5.loss_dice: 0.9741, decode.d6.loss_cls: 0.5443, decode.d6.loss_mask: 0.6944, decode.d6.loss_dice: 0.9702, decode.d7.loss_cls: 0.5367, decode.d7.loss_mask: 0.6923, decode.d7.loss_dice: 0.9714, decode.d8.loss_cls: 0.5351, decode.d8.loss_mask: 0.6935, decode.d8.loss_dice: 0.9740, loss: 23.9366, grad_norm: 76.6291 2023-11-22 01:07:17,376 - mmseg - INFO - Iter [23550/160000] lr: 8.123e-06, eta: 22:23:15, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5799, decode.loss_mask: 0.6836, decode.loss_dice: 0.9905, decode.d0.loss_cls: 1.8538, decode.d0.loss_mask: 0.7223, decode.d0.loss_dice: 1.1791, decode.d1.loss_cls: 0.7290, decode.d1.loss_mask: 0.7214, decode.d1.loss_dice: 1.0755, decode.d2.loss_cls: 0.6398, decode.d2.loss_mask: 0.7009, decode.d2.loss_dice: 1.0350, decode.d3.loss_cls: 0.6043, decode.d3.loss_mask: 0.6956, decode.d3.loss_dice: 1.0143, decode.d4.loss_cls: 0.6035, decode.d4.loss_mask: 0.6893, decode.d4.loss_dice: 1.0153, decode.d5.loss_cls: 0.5961, decode.d5.loss_mask: 0.6928, decode.d5.loss_dice: 1.0083, decode.d6.loss_cls: 0.5912, decode.d6.loss_mask: 0.6903, decode.d6.loss_dice: 0.9984, decode.d7.loss_cls: 0.5900, decode.d7.loss_mask: 0.6848, decode.d7.loss_dice: 0.9989, decode.d8.loss_cls: 0.5889, decode.d8.loss_mask: 0.6822, decode.d8.loss_dice: 0.9938, loss: 24.6486, grad_norm: 76.0744 2023-11-22 01:07:46,089 - mmseg - INFO - Iter [23600/160000] lr: 8.120e-06, eta: 22:22:41, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5571, decode.loss_mask: 0.6721, decode.loss_dice: 0.9717, decode.d0.loss_cls: 1.8643, decode.d0.loss_mask: 0.7086, decode.d0.loss_dice: 1.1602, decode.d1.loss_cls: 0.6851, decode.d1.loss_mask: 0.6966, decode.d1.loss_dice: 1.0631, decode.d2.loss_cls: 0.6090, decode.d2.loss_mask: 0.6816, decode.d2.loss_dice: 1.0102, decode.d3.loss_cls: 0.5840, decode.d3.loss_mask: 0.6773, decode.d3.loss_dice: 0.9823, decode.d4.loss_cls: 0.5719, decode.d4.loss_mask: 0.6748, decode.d4.loss_dice: 0.9836, decode.d5.loss_cls: 0.5693, decode.d5.loss_mask: 0.6759, decode.d5.loss_dice: 0.9837, decode.d6.loss_cls: 0.5665, decode.d6.loss_mask: 0.6679, decode.d6.loss_dice: 0.9743, decode.d7.loss_cls: 0.5632, decode.d7.loss_mask: 0.6680, decode.d7.loss_dice: 0.9754, decode.d8.loss_cls: 0.5596, decode.d8.loss_mask: 0.6741, decode.d8.loss_dice: 0.9717, loss: 24.0030, grad_norm: 70.2300 2023-11-22 01:08:14,666 - mmseg - INFO - Iter [23650/160000] lr: 8.117e-06, eta: 22:22:06, time: 0.571, data_time: 0.015, memory: 38143, decode.loss_cls: 0.5863, decode.loss_mask: 0.6622, decode.loss_dice: 0.9831, decode.d0.loss_cls: 1.8580, decode.d0.loss_mask: 0.7092, decode.d0.loss_dice: 1.1634, decode.d1.loss_cls: 0.7070, decode.d1.loss_mask: 0.6993, decode.d1.loss_dice: 1.0529, decode.d2.loss_cls: 0.6350, decode.d2.loss_mask: 0.6789, decode.d2.loss_dice: 1.0125, decode.d3.loss_cls: 0.6026, decode.d3.loss_mask: 0.6730, decode.d3.loss_dice: 0.9965, decode.d4.loss_cls: 0.6022, decode.d4.loss_mask: 0.6703, decode.d4.loss_dice: 0.9912, decode.d5.loss_cls: 0.5966, decode.d5.loss_mask: 0.6710, decode.d5.loss_dice: 0.9898, decode.d6.loss_cls: 0.5897, decode.d6.loss_mask: 0.6701, decode.d6.loss_dice: 0.9786, decode.d7.loss_cls: 0.5825, decode.d7.loss_mask: 0.6678, decode.d7.loss_dice: 0.9800, decode.d8.loss_cls: 0.5817, decode.d8.loss_mask: 0.6683, decode.d8.loss_dice: 0.9883, loss: 24.2480, grad_norm: 73.7237 2023-11-22 01:08:43,077 - mmseg - INFO - Iter [23700/160000] lr: 8.114e-06, eta: 22:21:30, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5719, decode.loss_mask: 0.6644, decode.loss_dice: 0.9659, decode.d0.loss_cls: 1.7903, decode.d0.loss_mask: 0.7042, decode.d0.loss_dice: 1.1436, decode.d1.loss_cls: 0.6965, decode.d1.loss_mask: 0.6866, decode.d1.loss_dice: 1.0370, decode.d2.loss_cls: 0.6156, decode.d2.loss_mask: 0.6740, decode.d2.loss_dice: 0.9981, decode.d3.loss_cls: 0.5966, decode.d3.loss_mask: 0.6658, decode.d3.loss_dice: 0.9728, decode.d4.loss_cls: 0.5844, decode.d4.loss_mask: 0.6590, decode.d4.loss_dice: 0.9761, decode.d5.loss_cls: 0.5852, decode.d5.loss_mask: 0.6593, decode.d5.loss_dice: 0.9708, decode.d6.loss_cls: 0.5818, decode.d6.loss_mask: 0.6577, decode.d6.loss_dice: 0.9679, decode.d7.loss_cls: 0.5737, decode.d7.loss_mask: 0.6592, decode.d7.loss_dice: 0.9697, decode.d8.loss_cls: 0.5726, decode.d8.loss_mask: 0.6593, decode.d8.loss_dice: 0.9702, loss: 23.8302, grad_norm: 73.5282 2023-11-22 01:09:11,589 - mmseg - INFO - Iter [23750/160000] lr: 8.111e-06, eta: 22:20:54, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5648, decode.loss_mask: 0.6667, decode.loss_dice: 0.9760, decode.d0.loss_cls: 1.8502, decode.d0.loss_mask: 0.7127, decode.d0.loss_dice: 1.1457, decode.d1.loss_cls: 0.6852, decode.d1.loss_mask: 0.6949, decode.d1.loss_dice: 1.0498, decode.d2.loss_cls: 0.6173, decode.d2.loss_mask: 0.6828, decode.d2.loss_dice: 1.0167, decode.d3.loss_cls: 0.5908, decode.d3.loss_mask: 0.6739, decode.d3.loss_dice: 0.9937, decode.d4.loss_cls: 0.5816, decode.d4.loss_mask: 0.6713, decode.d4.loss_dice: 0.9904, decode.d5.loss_cls: 0.5765, decode.d5.loss_mask: 0.6712, decode.d5.loss_dice: 0.9808, decode.d6.loss_cls: 0.5680, decode.d6.loss_mask: 0.6676, decode.d6.loss_dice: 0.9741, decode.d7.loss_cls: 0.5630, decode.d7.loss_mask: 0.6694, decode.d7.loss_dice: 0.9821, decode.d8.loss_cls: 0.5643, decode.d8.loss_mask: 0.6649, decode.d8.loss_dice: 0.9875, loss: 24.0340, grad_norm: 72.8377 2023-11-22 01:09:40,524 - mmseg - INFO - Iter [23800/160000] lr: 8.108e-06, eta: 22:20:22, time: 0.579, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5865, decode.loss_mask: 0.6972, decode.loss_dice: 0.9897, decode.d0.loss_cls: 1.8275, decode.d0.loss_mask: 0.7520, decode.d0.loss_dice: 1.1740, decode.d1.loss_cls: 0.7204, decode.d1.loss_mask: 0.7309, decode.d1.loss_dice: 1.0792, decode.d2.loss_cls: 0.6367, decode.d2.loss_mask: 0.7156, decode.d2.loss_dice: 1.0370, decode.d3.loss_cls: 0.5982, decode.d3.loss_mask: 0.7119, decode.d3.loss_dice: 1.0153, decode.d4.loss_cls: 0.5920, decode.d4.loss_mask: 0.7082, decode.d4.loss_dice: 1.0115, decode.d5.loss_cls: 0.5883, decode.d5.loss_mask: 0.7055, decode.d5.loss_dice: 1.0066, decode.d6.loss_cls: 0.5854, decode.d6.loss_mask: 0.6997, decode.d6.loss_dice: 1.0009, decode.d7.loss_cls: 0.5897, decode.d7.loss_mask: 0.7009, decode.d7.loss_dice: 0.9907, decode.d8.loss_cls: 0.5852, decode.d8.loss_mask: 0.6999, decode.d8.loss_dice: 0.9927, loss: 24.7291, grad_norm: 75.2828 2023-11-22 01:10:09,268 - mmseg - INFO - Iter [23850/160000] lr: 8.105e-06, eta: 22:19:48, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5415, decode.loss_mask: 0.6773, decode.loss_dice: 0.9671, decode.d0.loss_cls: 1.8406, decode.d0.loss_mask: 0.7127, decode.d0.loss_dice: 1.1252, decode.d1.loss_cls: 0.6851, decode.d1.loss_mask: 0.6978, decode.d1.loss_dice: 1.0352, decode.d2.loss_cls: 0.5964, decode.d2.loss_mask: 0.6884, decode.d2.loss_dice: 0.9949, decode.d3.loss_cls: 0.5739, decode.d3.loss_mask: 0.6762, decode.d3.loss_dice: 0.9758, decode.d4.loss_cls: 0.5557, decode.d4.loss_mask: 0.6754, decode.d4.loss_dice: 0.9784, decode.d5.loss_cls: 0.5510, decode.d5.loss_mask: 0.6761, decode.d5.loss_dice: 0.9715, decode.d6.loss_cls: 0.5543, decode.d6.loss_mask: 0.6750, decode.d6.loss_dice: 0.9586, decode.d7.loss_cls: 0.5441, decode.d7.loss_mask: 0.6743, decode.d7.loss_dice: 0.9632, decode.d8.loss_cls: 0.5442, decode.d8.loss_mask: 0.6759, decode.d8.loss_dice: 0.9667, loss: 23.7526, grad_norm: 68.7569 2023-11-22 01:10:37,808 - mmseg - INFO - Iter [23900/160000] lr: 8.102e-06, eta: 22:19:12, time: 0.571, data_time: 0.015, memory: 38143, decode.loss_cls: 0.6045, decode.loss_mask: 0.6516, decode.loss_dice: 0.9738, decode.d0.loss_cls: 1.9029, decode.d0.loss_mask: 0.6935, decode.d0.loss_dice: 1.1529, decode.d1.loss_cls: 0.7463, decode.d1.loss_mask: 0.6799, decode.d1.loss_dice: 1.0434, decode.d2.loss_cls: 0.6613, decode.d2.loss_mask: 0.6695, decode.d2.loss_dice: 1.0134, decode.d3.loss_cls: 0.6220, decode.d3.loss_mask: 0.6602, decode.d3.loss_dice: 0.9854, decode.d4.loss_cls: 0.6214, decode.d4.loss_mask: 0.6550, decode.d4.loss_dice: 0.9872, decode.d5.loss_cls: 0.6080, decode.d5.loss_mask: 0.6567, decode.d5.loss_dice: 0.9797, decode.d6.loss_cls: 0.6128, decode.d6.loss_mask: 0.6497, decode.d6.loss_dice: 0.9719, decode.d7.loss_cls: 0.6054, decode.d7.loss_mask: 0.6592, decode.d7.loss_dice: 0.9742, decode.d8.loss_cls: 0.5963, decode.d8.loss_mask: 0.6544, decode.d8.loss_dice: 0.9764, loss: 24.2692, grad_norm: 76.0464 2023-11-22 01:11:06,461 - mmseg - INFO - Iter [23950/160000] lr: 8.099e-06, eta: 22:18:38, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.6085, decode.loss_mask: 0.6677, decode.loss_dice: 0.9747, decode.d0.loss_cls: 1.8769, decode.d0.loss_mask: 0.7094, decode.d0.loss_dice: 1.1621, decode.d1.loss_cls: 0.7321, decode.d1.loss_mask: 0.7019, decode.d1.loss_dice: 1.0605, decode.d2.loss_cls: 0.6516, decode.d2.loss_mask: 0.6810, decode.d2.loss_dice: 1.0155, decode.d3.loss_cls: 0.6250, decode.d3.loss_mask: 0.6761, decode.d3.loss_dice: 0.9944, decode.d4.loss_cls: 0.6246, decode.d4.loss_mask: 0.6736, decode.d4.loss_dice: 0.9883, decode.d5.loss_cls: 0.6223, decode.d5.loss_mask: 0.6665, decode.d5.loss_dice: 0.9869, decode.d6.loss_cls: 0.6185, decode.d6.loss_mask: 0.6661, decode.d6.loss_dice: 0.9752, decode.d7.loss_cls: 0.6076, decode.d7.loss_mask: 0.6653, decode.d7.loss_dice: 0.9780, decode.d8.loss_cls: 0.6123, decode.d8.loss_mask: 0.6682, decode.d8.loss_dice: 0.9740, loss: 24.4648, grad_norm: 74.2673 2023-11-22 01:11:37,318 - mmseg - INFO - Saving checkpoint at 24000 iterations 2023-11-22 01:11:45,161 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 01:11:45,161 - mmseg - INFO - Iter [24000/160000] lr: 8.096e-06, eta: 22:19:01, time: 0.774, data_time: 0.058, memory: 38143, decode.loss_cls: 0.5648, decode.loss_mask: 0.6899, decode.loss_dice: 0.9950, decode.d0.loss_cls: 1.8230, decode.d0.loss_mask: 0.7239, decode.d0.loss_dice: 1.1669, decode.d1.loss_cls: 0.7055, decode.d1.loss_mask: 0.7113, decode.d1.loss_dice: 1.0734, decode.d2.loss_cls: 0.6122, decode.d2.loss_mask: 0.6922, decode.d2.loss_dice: 1.0240, decode.d3.loss_cls: 0.5922, decode.d3.loss_mask: 0.6837, decode.d3.loss_dice: 0.9967, decode.d4.loss_cls: 0.5846, decode.d4.loss_mask: 0.6834, decode.d4.loss_dice: 0.9953, decode.d5.loss_cls: 0.5808, decode.d5.loss_mask: 0.6826, decode.d5.loss_dice: 0.9920, decode.d6.loss_cls: 0.5760, decode.d6.loss_mask: 0.6828, decode.d6.loss_dice: 0.9876, decode.d7.loss_cls: 0.5653, decode.d7.loss_mask: 0.6866, decode.d7.loss_dice: 0.9899, decode.d8.loss_cls: 0.5661, decode.d8.loss_mask: 0.6864, decode.d8.loss_dice: 0.9917, loss: 24.3057, grad_norm: 74.0140 2023-11-22 01:12:04,824 - mmseg - INFO - per class results: 2023-11-22 01:12:04,829 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.23 | 87.58 | | building | 82.2 | 91.78 | | sky | 94.95 | 97.17 | | floor | 84.8 | 90.37 | | tree | 76.96 | 89.37 | | ceiling | 84.72 | 91.32 | | road | 82.94 | 89.83 | | bed | 91.8 | 96.78 | | windowpane | 63.89 | 82.42 | | grass | 69.82 | 90.51 | | cabinet | 61.88 | 78.38 | | sidewalk | 65.32 | 83.99 | | person | 85.85 | 92.5 | | earth | 34.02 | 39.48 | | door | 56.56 | 80.51 | | table | 65.45 | 78.06 | | mountain | 63.64 | 82.13 | | plant | 54.15 | 70.19 | | curtain | 74.99 | 87.59 | | chair | 61.47 | 76.92 | | car | 87.44 | 94.64 | | water | 50.97 | 64.17 | | painting | 72.78 | 90.94 | | sofa | 72.31 | 85.17 | | shelf | 48.1 | 71.8 | | house | 29.32 | 31.71 | | sea | 59.36 | 89.24 | | mirror | 74.01 | 85.93 | | rug | 70.08 | 86.24 | | field | 28.0 | 37.86 | | armchair | 45.79 | 71.05 | | seat | 65.44 | 80.73 | | fence | 41.52 | 71.94 | | desk | 44.77 | 61.53 | | rock | 41.34 | 53.47 | | wardrobe | 44.62 | 55.95 | | lamp | 70.21 | 78.61 | | bathtub | 81.54 | 83.34 | | railing | 37.92 | 64.11 | | cushion | 63.71 | 75.32 | | base | 28.3 | 53.11 | | box | 30.93 | 43.99 | | column | 53.08 | 72.71 | | signboard | 41.62 | 55.67 | | chest of drawers | 35.69 | 54.55 | | counter | 26.76 | 33.68 | | sand | 34.86 | 48.2 | | sink | 75.21 | 84.86 | | skyscraper | 29.65 | 35.74 | | fireplace | 72.74 | 93.14 | | refrigerator | 81.75 | 85.62 | | grandstand | 52.84 | 76.06 | | path | 13.61 | 24.24 | | stairs | 19.11 | 25.7 | | runway | 64.77 | 74.31 | | case | 67.16 | 73.97 | | pool table | 94.4 | 96.42 | | pillow | 65.08 | 75.41 | | screen door | 59.16 | 60.85 | | stairway | 19.83 | 50.59 | | river | 12.81 | 17.46 | | bridge | 68.36 | 86.56 | | bookcase | 31.28 | 43.58 | | blind | 34.18 | 37.33 | | coffee table | 63.63 | 87.46 | | toilet | 90.24 | 93.75 | | flower | 43.26 | 64.48 | | book | 52.44 | 73.32 | | hill | 7.99 | 14.23 | | bench | 59.94 | 78.77 | | countertop | 57.41 | 78.69 | | stove | 76.5 | 83.95 | | palm | 54.44 | 72.38 | | kitchen island | 43.18 | 79.28 | | computer | 77.15 | 89.97 | | swivel chair | 51.23 | 71.62 | | boat | 75.37 | 94.83 | | bar | 42.91 | 53.55 | | arcade machine | 34.51 | 36.15 | | hovel | 33.76 | 53.12 | | bus | 46.16 | 47.6 | | towel | 69.44 | 93.51 | | light | 62.56 | 77.16 | | truck | 40.61 | 54.52 | | tower | 15.97 | 25.87 | | chandelier | 69.19 | 86.23 | | awning | 22.45 | 64.89 | | streetlight | 46.79 | 62.19 | | booth | 0.0 | 0.0 | | television receiver | 72.07 | 86.18 | | airplane | 59.68 | 70.58 | | dirt track | 0.0 | 0.0 | | apparel | 37.22 | 62.28 | | pole | 40.11 | 67.67 | | land | 0.45 | 0.46 | | bannister | 13.33 | 29.48 | | escalator | 0.52 | 0.52 | | ottoman | 58.85 | 77.14 | | bottle | 31.39 | 44.31 | | buffet | 2.83 | 2.93 | | poster | 32.55 | 54.75 | | stage | 14.93 | 33.57 | | van | 45.38 | 67.0 | | ship | 1.05 | 1.28 | | fountain | 20.56 | 21.7 | | conveyer belt | 70.42 | 92.5 | | canopy | 43.19 | 80.53 | | washer | 73.73 | 77.59 | | plaything | 37.9 | 60.19 | | swimming pool | 36.47 | 73.53 | | stool | 45.77 | 70.98 | | barrel | 75.5 | 86.94 | | basket | 36.24 | 67.98 | | waterfall | 42.03 | 58.79 | | tent | 95.89 | 97.24 | | bag | 25.43 | 35.32 | | minibike | 68.05 | 89.41 | | cradle | 90.55 | 97.24 | | oven | 26.07 | 73.85 | | ball | 51.58 | 78.01 | | food | 64.79 | 73.81 | | step | 29.03 | 39.16 | | tank | 31.44 | 32.69 | | trade name | 36.65 | 54.45 | | microwave | 44.1 | 46.79 | | pot | 42.81 | 49.99 | | animal | 79.72 | 83.31 | | bicycle | 58.58 | 85.03 | | lake | 0.0 | 0.0 | | dishwasher | 75.86 | 87.67 | | screen | 48.7 | 89.39 | | blanket | 33.51 | 42.28 | | sculpture | 40.13 | 90.51 | | hood | 64.65 | 76.46 | | sconce | 53.17 | 73.35 | | vase | 48.48 | 74.45 | | traffic light | 40.66 | 70.52 | | tray | 16.83 | 27.2 | | ashcan | 47.52 | 70.19 | | fan | 71.95 | 83.72 | | pier | 16.99 | 25.42 | | crt screen | 0.56 | 1.4 | | plate | 63.82 | 79.42 | | monitor | 1.57 | 1.77 | | bulletin board | 48.33 | 64.38 | | shower | 20.77 | 27.42 | | radiator | 64.2 | 83.32 | | glass | 24.29 | 28.26 | | clock | 37.3 | 46.08 | | flag | 70.88 | 84.87 | +---------------------+-------+-------+ 2023-11-22 01:12:04,829 - mmseg - INFO - Summary: 2023-11-22 01:12:04,829 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.83 | 49.61 | 64.03 | +-------+-------+-------+ 2023-11-22 01:12:04,830 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 01:12:04,830 - mmseg - INFO - Iter(val) [250] aAcc: 0.8383, mIoU: 0.4961, mAcc: 0.6403, IoU.wall: 0.8023, IoU.building: 0.8220, IoU.sky: 0.9495, IoU.floor: 0.8480, IoU.tree: 0.7696, IoU.ceiling: 0.8472, IoU.road: 0.8294, IoU.bed : 0.9180, IoU.windowpane: 0.6389, IoU.grass: 0.6982, IoU.cabinet: 0.6188, IoU.sidewalk: 0.6532, IoU.person: 0.8585, IoU.earth: 0.3402, IoU.door: 0.5656, IoU.table: 0.6545, IoU.mountain: 0.6364, IoU.plant: 0.5415, IoU.curtain: 0.7499, IoU.chair: 0.6147, IoU.car: 0.8744, IoU.water: 0.5097, IoU.painting: 0.7278, IoU.sofa: 0.7231, IoU.shelf: 0.4810, IoU.house: 0.2932, IoU.sea: 0.5936, IoU.mirror: 0.7401, IoU.rug: 0.7008, IoU.field: 0.2800, IoU.armchair: 0.4579, IoU.seat: 0.6544, IoU.fence: 0.4152, IoU.desk: 0.4477, IoU.rock: 0.4134, IoU.wardrobe: 0.4462, IoU.lamp: 0.7021, IoU.bathtub: 0.8154, IoU.railing: 0.3792, IoU.cushion: 0.6371, IoU.base: 0.2830, IoU.box: 0.3093, IoU.column: 0.5308, IoU.signboard: 0.4162, IoU.chest of drawers: 0.3569, IoU.counter: 0.2676, IoU.sand: 0.3486, IoU.sink: 0.7521, IoU.skyscraper: 0.2965, IoU.fireplace: 0.7274, IoU.refrigerator: 0.8175, IoU.grandstand: 0.5284, IoU.path: 0.1361, IoU.stairs: 0.1911, IoU.runway: 0.6477, IoU.case: 0.6716, IoU.pool table: 0.9440, IoU.pillow: 0.6508, IoU.screen door: 0.5916, IoU.stairway: 0.1983, IoU.river: 0.1281, IoU.bridge: 0.6836, IoU.bookcase: 0.3128, IoU.blind: 0.3418, IoU.coffee table: 0.6363, IoU.toilet: 0.9024, IoU.flower: 0.4326, IoU.book: 0.5244, IoU.hill: 0.0799, IoU.bench: 0.5994, IoU.countertop: 0.5741, IoU.stove: 0.7650, IoU.palm: 0.5444, IoU.kitchen island: 0.4318, IoU.computer: 0.7715, IoU.swivel chair: 0.5123, IoU.boat: 0.7537, IoU.bar: 0.4291, IoU.arcade machine: 0.3451, IoU.hovel: 0.3376, IoU.bus: 0.4616, IoU.towel: 0.6944, IoU.light: 0.6256, IoU.truck: 0.4061, IoU.tower: 0.1597, IoU.chandelier: 0.6919, IoU.awning: 0.2245, IoU.streetlight: 0.4679, IoU.booth: 0.0000, IoU.television receiver: 0.7207, IoU.airplane: 0.5968, IoU.dirt track: 0.0000, IoU.apparel: 0.3722, IoU.pole: 0.4011, IoU.land: 0.0045, IoU.bannister: 0.1333, IoU.escalator: 0.0052, IoU.ottoman: 0.5885, IoU.bottle: 0.3139, IoU.buffet: 0.0283, IoU.poster: 0.3255, IoU.stage: 0.1493, IoU.van: 0.4538, IoU.ship: 0.0105, IoU.fountain: 0.2056, IoU.conveyer belt: 0.7042, IoU.canopy: 0.4319, IoU.washer: 0.7373, IoU.plaything: 0.3790, IoU.swimming pool: 0.3647, IoU.stool: 0.4577, IoU.barrel: 0.7550, IoU.basket: 0.3624, IoU.waterfall: 0.4203, IoU.tent: 0.9589, IoU.bag: 0.2543, IoU.minibike: 0.6805, IoU.cradle: 0.9055, IoU.oven: 0.2607, IoU.ball: 0.5158, IoU.food: 0.6479, IoU.step: 0.2903, IoU.tank: 0.3144, IoU.trade name: 0.3665, IoU.microwave: 0.4410, IoU.pot: 0.4281, IoU.animal: 0.7972, IoU.bicycle: 0.5858, IoU.lake: 0.0000, IoU.dishwasher: 0.7586, IoU.screen: 0.4870, IoU.blanket: 0.3351, IoU.sculpture: 0.4013, IoU.hood: 0.6465, IoU.sconce: 0.5317, IoU.vase: 0.4848, IoU.traffic light: 0.4066, IoU.tray: 0.1683, IoU.ashcan: 0.4752, IoU.fan: 0.7195, IoU.pier: 0.1699, IoU.crt screen: 0.0056, IoU.plate: 0.6382, IoU.monitor: 0.0157, IoU.bulletin board: 0.4833, IoU.shower: 0.2077, IoU.radiator: 0.6420, IoU.glass: 0.2429, IoU.clock: 0.3730, IoU.flag: 0.7088, Acc.wall: 0.8758, Acc.building: 0.9178, Acc.sky: 0.9717, Acc.floor: 0.9037, Acc.tree: 0.8937, Acc.ceiling: 0.9132, Acc.road: 0.8983, Acc.bed : 0.9678, Acc.windowpane: 0.8242, Acc.grass: 0.9051, Acc.cabinet: 0.7838, Acc.sidewalk: 0.8399, Acc.person: 0.9250, Acc.earth: 0.3948, Acc.door: 0.8051, Acc.table: 0.7806, Acc.mountain: 0.8213, Acc.plant: 0.7019, Acc.curtain: 0.8759, Acc.chair: 0.7692, Acc.car: 0.9464, Acc.water: 0.6417, Acc.painting: 0.9094, Acc.sofa: 0.8517, Acc.shelf: 0.7180, Acc.house: 0.3171, Acc.sea: 0.8924, Acc.mirror: 0.8593, Acc.rug: 0.8624, Acc.field: 0.3786, Acc.armchair: 0.7105, Acc.seat: 0.8073, Acc.fence: 0.7194, Acc.desk: 0.6153, Acc.rock: 0.5347, Acc.wardrobe: 0.5595, Acc.lamp: 0.7861, Acc.bathtub: 0.8334, Acc.railing: 0.6411, Acc.cushion: 0.7532, Acc.base: 0.5311, Acc.box: 0.4399, Acc.column: 0.7271, Acc.signboard: 0.5567, Acc.chest of drawers: 0.5455, Acc.counter: 0.3368, Acc.sand: 0.4820, Acc.sink: 0.8486, Acc.skyscraper: 0.3574, Acc.fireplace: 0.9314, Acc.refrigerator: 0.8562, Acc.grandstand: 0.7606, Acc.path: 0.2424, Acc.stairs: 0.2570, Acc.runway: 0.7431, Acc.case: 0.7397, Acc.pool table: 0.9642, Acc.pillow: 0.7541, Acc.screen door: 0.6085, Acc.stairway: 0.5059, Acc.river: 0.1746, Acc.bridge: 0.8656, Acc.bookcase: 0.4358, Acc.blind: 0.3733, Acc.coffee table: 0.8746, Acc.toilet: 0.9375, Acc.flower: 0.6448, Acc.book: 0.7332, Acc.hill: 0.1423, Acc.bench: 0.7877, Acc.countertop: 0.7869, Acc.stove: 0.8395, Acc.palm: 0.7238, Acc.kitchen island: 0.7928, Acc.computer: 0.8997, Acc.swivel chair: 0.7162, Acc.boat: 0.9483, Acc.bar: 0.5355, Acc.arcade machine: 0.3615, Acc.hovel: 0.5312, Acc.bus: 0.4760, Acc.towel: 0.9351, Acc.light: 0.7716, Acc.truck: 0.5452, Acc.tower: 0.2587, Acc.chandelier: 0.8623, Acc.awning: 0.6489, Acc.streetlight: 0.6219, Acc.booth: 0.0000, Acc.television receiver: 0.8618, Acc.airplane: 0.7058, Acc.dirt track: 0.0000, Acc.apparel: 0.6228, Acc.pole: 0.6767, Acc.land: 0.0046, Acc.bannister: 0.2948, Acc.escalator: 0.0052, Acc.ottoman: 0.7714, Acc.bottle: 0.4431, Acc.buffet: 0.0293, Acc.poster: 0.5475, Acc.stage: 0.3357, Acc.van: 0.6700, Acc.ship: 0.0128, Acc.fountain: 0.2170, Acc.conveyer belt: 0.9250, Acc.canopy: 0.8053, Acc.washer: 0.7759, Acc.plaything: 0.6019, Acc.swimming pool: 0.7353, Acc.stool: 0.7098, Acc.barrel: 0.8694, Acc.basket: 0.6798, Acc.waterfall: 0.5879, Acc.tent: 0.9724, Acc.bag: 0.3532, Acc.minibike: 0.8941, Acc.cradle: 0.9724, Acc.oven: 0.7385, Acc.ball: 0.7801, Acc.food: 0.7381, Acc.step: 0.3916, Acc.tank: 0.3269, Acc.trade name: 0.5445, Acc.microwave: 0.4679, Acc.pot: 0.4999, Acc.animal: 0.8331, Acc.bicycle: 0.8503, Acc.lake: 0.0000, Acc.dishwasher: 0.8767, Acc.screen: 0.8939, Acc.blanket: 0.4228, Acc.sculpture: 0.9051, Acc.hood: 0.7646, Acc.sconce: 0.7335, Acc.vase: 0.7445, Acc.traffic light: 0.7052, Acc.tray: 0.2720, Acc.ashcan: 0.7019, Acc.fan: 0.8372, Acc.pier: 0.2542, Acc.crt screen: 0.0140, Acc.plate: 0.7942, Acc.monitor: 0.0177, Acc.bulletin board: 0.6438, Acc.shower: 0.2742, Acc.radiator: 0.8332, Acc.glass: 0.2826, Acc.clock: 0.4608, Acc.flag: 0.8487 2023-11-22 01:12:33,657 - mmseg - INFO - Iter [24050/160000] lr: 8.093e-06, eta: 22:20:18, time: 0.970, data_time: 0.407, memory: 38143, decode.loss_cls: 0.5663, decode.loss_mask: 0.6410, decode.loss_dice: 0.9615, decode.d0.loss_cls: 1.8454, decode.d0.loss_mask: 0.6799, decode.d0.loss_dice: 1.1426, decode.d1.loss_cls: 0.7043, decode.d1.loss_mask: 0.6708, decode.d1.loss_dice: 1.0311, decode.d2.loss_cls: 0.6295, decode.d2.loss_mask: 0.6550, decode.d2.loss_dice: 0.9932, decode.d3.loss_cls: 0.5987, decode.d3.loss_mask: 0.6452, decode.d3.loss_dice: 0.9696, decode.d4.loss_cls: 0.5852, decode.d4.loss_mask: 0.6486, decode.d4.loss_dice: 0.9731, decode.d5.loss_cls: 0.5776, decode.d5.loss_mask: 0.6458, decode.d5.loss_dice: 0.9655, decode.d6.loss_cls: 0.5699, decode.d6.loss_mask: 0.6461, decode.d6.loss_dice: 0.9544, decode.d7.loss_cls: 0.5675, decode.d7.loss_mask: 0.6451, decode.d7.loss_dice: 0.9661, decode.d8.loss_cls: 0.5676, decode.d8.loss_mask: 0.6415, decode.d8.loss_dice: 0.9620, loss: 23.6501, grad_norm: 71.3219 2023-11-22 01:13:02,103 - mmseg - INFO - Iter [24100/160000] lr: 8.090e-06, eta: 22:19:42, time: 0.569, data_time: 0.015, memory: 38143, decode.loss_cls: 0.5441, decode.loss_mask: 0.6389, decode.loss_dice: 0.9526, decode.d0.loss_cls: 1.8257, decode.d0.loss_mask: 0.6746, decode.d0.loss_dice: 1.1201, decode.d1.loss_cls: 0.6830, decode.d1.loss_mask: 0.6668, decode.d1.loss_dice: 1.0130, decode.d2.loss_cls: 0.5932, decode.d2.loss_mask: 0.6555, decode.d2.loss_dice: 0.9744, decode.d3.loss_cls: 0.5650, decode.d3.loss_mask: 0.6461, decode.d3.loss_dice: 0.9605, decode.d4.loss_cls: 0.5560, decode.d4.loss_mask: 0.6447, decode.d4.loss_dice: 0.9560, decode.d5.loss_cls: 0.5548, decode.d5.loss_mask: 0.6448, decode.d5.loss_dice: 0.9554, decode.d6.loss_cls: 0.5479, decode.d6.loss_mask: 0.6431, decode.d6.loss_dice: 0.9463, decode.d7.loss_cls: 0.5514, decode.d7.loss_mask: 0.6418, decode.d7.loss_dice: 0.9445, decode.d8.loss_cls: 0.5497, decode.d8.loss_mask: 0.6399, decode.d8.loss_dice: 0.9447, loss: 23.2345, grad_norm: 67.7194 2023-11-22 01:13:30,612 - mmseg - INFO - Iter [24150/160000] lr: 8.087e-06, eta: 22:19:07, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5883, decode.loss_mask: 0.6503, decode.loss_dice: 0.9656, decode.d0.loss_cls: 1.8618, decode.d0.loss_mask: 0.6941, decode.d0.loss_dice: 1.1538, decode.d1.loss_cls: 0.7234, decode.d1.loss_mask: 0.6826, decode.d1.loss_dice: 1.0444, decode.d2.loss_cls: 0.6475, decode.d2.loss_mask: 0.6651, decode.d2.loss_dice: 0.9962, decode.d3.loss_cls: 0.6172, decode.d3.loss_mask: 0.6568, decode.d3.loss_dice: 0.9744, decode.d4.loss_cls: 0.6020, decode.d4.loss_mask: 0.6616, decode.d4.loss_dice: 0.9771, decode.d5.loss_cls: 0.5926, decode.d5.loss_mask: 0.6574, decode.d5.loss_dice: 0.9748, decode.d6.loss_cls: 0.6010, decode.d6.loss_mask: 0.6479, decode.d6.loss_dice: 0.9647, decode.d7.loss_cls: 0.5895, decode.d7.loss_mask: 0.6495, decode.d7.loss_dice: 0.9696, decode.d8.loss_cls: 0.5954, decode.d8.loss_mask: 0.6482, decode.d8.loss_dice: 0.9666, loss: 24.0193, grad_norm: 72.2168 2023-11-22 01:13:59,117 - mmseg - INFO - Iter [24200/160000] lr: 8.084e-06, eta: 22:18:31, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5470, decode.loss_mask: 0.6647, decode.loss_dice: 0.9537, decode.d0.loss_cls: 1.8879, decode.d0.loss_mask: 0.7035, decode.d0.loss_dice: 1.1298, decode.d1.loss_cls: 0.6735, decode.d1.loss_mask: 0.6959, decode.d1.loss_dice: 1.0235, decode.d2.loss_cls: 0.5928, decode.d2.loss_mask: 0.6862, decode.d2.loss_dice: 0.9891, decode.d3.loss_cls: 0.5682, decode.d3.loss_mask: 0.6721, decode.d3.loss_dice: 0.9703, decode.d4.loss_cls: 0.5600, decode.d4.loss_mask: 0.6677, decode.d4.loss_dice: 0.9654, decode.d5.loss_cls: 0.5552, decode.d5.loss_mask: 0.6667, decode.d5.loss_dice: 0.9637, decode.d6.loss_cls: 0.5499, decode.d6.loss_mask: 0.6675, decode.d6.loss_dice: 0.9548, decode.d7.loss_cls: 0.5456, decode.d7.loss_mask: 0.6651, decode.d7.loss_dice: 0.9565, decode.d8.loss_cls: 0.5421, decode.d8.loss_mask: 0.6643, decode.d8.loss_dice: 0.9597, loss: 23.6424, grad_norm: 70.4709 2023-11-22 01:14:27,745 - mmseg - INFO - Iter [24250/160000] lr: 8.081e-06, eta: 22:17:56, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5847, decode.loss_mask: 0.6605, decode.loss_dice: 0.9931, decode.d0.loss_cls: 1.9232, decode.d0.loss_mask: 0.6973, decode.d0.loss_dice: 1.1647, decode.d1.loss_cls: 0.7278, decode.d1.loss_mask: 0.6855, decode.d1.loss_dice: 1.0627, decode.d2.loss_cls: 0.6277, decode.d2.loss_mask: 0.6660, decode.d2.loss_dice: 1.0275, decode.d3.loss_cls: 0.6081, decode.d3.loss_mask: 0.6592, decode.d3.loss_dice: 0.9992, decode.d4.loss_cls: 0.5995, decode.d4.loss_mask: 0.6566, decode.d4.loss_dice: 0.9985, decode.d5.loss_cls: 0.5995, decode.d5.loss_mask: 0.6542, decode.d5.loss_dice: 0.9949, decode.d6.loss_cls: 0.5866, decode.d6.loss_mask: 0.6584, decode.d6.loss_dice: 0.9973, decode.d7.loss_cls: 0.5809, decode.d7.loss_mask: 0.6590, decode.d7.loss_dice: 0.9948, decode.d8.loss_cls: 0.5845, decode.d8.loss_mask: 0.6581, decode.d8.loss_dice: 0.9964, loss: 24.3064, grad_norm: 69.5667 2023-11-22 01:14:56,370 - mmseg - INFO - Iter [24300/160000] lr: 8.078e-06, eta: 22:17:21, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5282, decode.loss_mask: 0.6764, decode.loss_dice: 0.9795, decode.d0.loss_cls: 1.7806, decode.d0.loss_mask: 0.7181, decode.d0.loss_dice: 1.1476, decode.d1.loss_cls: 0.6603, decode.d1.loss_mask: 0.7089, decode.d1.loss_dice: 1.0507, decode.d2.loss_cls: 0.5757, decode.d2.loss_mask: 0.6925, decode.d2.loss_dice: 1.0143, decode.d3.loss_cls: 0.5522, decode.d3.loss_mask: 0.6787, decode.d3.loss_dice: 0.9865, decode.d4.loss_cls: 0.5435, decode.d4.loss_mask: 0.6746, decode.d4.loss_dice: 0.9901, decode.d5.loss_cls: 0.5375, decode.d5.loss_mask: 0.6747, decode.d5.loss_dice: 0.9858, decode.d6.loss_cls: 0.5309, decode.d6.loss_mask: 0.6785, decode.d6.loss_dice: 0.9813, decode.d7.loss_cls: 0.5283, decode.d7.loss_mask: 0.6789, decode.d7.loss_dice: 0.9792, decode.d8.loss_cls: 0.5268, decode.d8.loss_mask: 0.6790, decode.d8.loss_dice: 0.9843, loss: 23.7236, grad_norm: 72.3728 2023-11-22 01:15:25,053 - mmseg - INFO - Iter [24350/160000] lr: 8.075e-06, eta: 22:16:47, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5596, decode.loss_mask: 0.6775, decode.loss_dice: 0.9613, decode.d0.loss_cls: 1.8194, decode.d0.loss_mask: 0.7167, decode.d0.loss_dice: 1.1411, decode.d1.loss_cls: 0.7003, decode.d1.loss_mask: 0.7117, decode.d1.loss_dice: 1.0354, decode.d2.loss_cls: 0.5997, decode.d2.loss_mask: 0.6968, decode.d2.loss_dice: 0.9916, decode.d3.loss_cls: 0.5779, decode.d3.loss_mask: 0.6955, decode.d3.loss_dice: 0.9739, decode.d4.loss_cls: 0.5693, decode.d4.loss_mask: 0.6887, decode.d4.loss_dice: 0.9742, decode.d5.loss_cls: 0.5654, decode.d5.loss_mask: 0.6890, decode.d5.loss_dice: 0.9668, decode.d6.loss_cls: 0.5502, decode.d6.loss_mask: 0.6862, decode.d6.loss_dice: 0.9637, decode.d7.loss_cls: 0.5470, decode.d7.loss_mask: 0.6838, decode.d7.loss_dice: 0.9626, decode.d8.loss_cls: 0.5487, decode.d8.loss_mask: 0.6794, decode.d8.loss_dice: 0.9629, loss: 23.8963, grad_norm: 72.4416 2023-11-22 01:15:53,496 - mmseg - INFO - Iter [24400/160000] lr: 8.072e-06, eta: 22:16:11, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5606, decode.loss_mask: 0.6560, decode.loss_dice: 0.9237, decode.d0.loss_cls: 1.8003, decode.d0.loss_mask: 0.6896, decode.d0.loss_dice: 1.0968, decode.d1.loss_cls: 0.6831, decode.d1.loss_mask: 0.6830, decode.d1.loss_dice: 1.0066, decode.d2.loss_cls: 0.6077, decode.d2.loss_mask: 0.6670, decode.d2.loss_dice: 0.9619, decode.d3.loss_cls: 0.5693, decode.d3.loss_mask: 0.6578, decode.d3.loss_dice: 0.9412, decode.d4.loss_cls: 0.5627, decode.d4.loss_mask: 0.6588, decode.d4.loss_dice: 0.9436, decode.d5.loss_cls: 0.5615, decode.d5.loss_mask: 0.6615, decode.d5.loss_dice: 0.9380, decode.d6.loss_cls: 0.5529, decode.d6.loss_mask: 0.6570, decode.d6.loss_dice: 0.9282, decode.d7.loss_cls: 0.5591, decode.d7.loss_mask: 0.6539, decode.d7.loss_dice: 0.9331, decode.d8.loss_cls: 0.5506, decode.d8.loss_mask: 0.6595, decode.d8.loss_dice: 0.9323, loss: 23.2574, grad_norm: 73.4409 2023-11-22 01:16:22,230 - mmseg - INFO - Iter [24450/160000] lr: 8.069e-06, eta: 22:15:37, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5675, decode.loss_mask: 0.6686, decode.loss_dice: 0.9763, decode.d0.loss_cls: 1.8291, decode.d0.loss_mask: 0.7162, decode.d0.loss_dice: 1.1545, decode.d1.loss_cls: 0.7122, decode.d1.loss_mask: 0.7010, decode.d1.loss_dice: 1.0559, decode.d2.loss_cls: 0.6232, decode.d2.loss_mask: 0.6819, decode.d2.loss_dice: 1.0129, decode.d3.loss_cls: 0.5873, decode.d3.loss_mask: 0.6731, decode.d3.loss_dice: 0.9918, decode.d4.loss_cls: 0.5761, decode.d4.loss_mask: 0.6748, decode.d4.loss_dice: 0.9934, decode.d5.loss_cls: 0.5748, decode.d5.loss_mask: 0.6733, decode.d5.loss_dice: 0.9807, decode.d6.loss_cls: 0.5694, decode.d6.loss_mask: 0.6720, decode.d6.loss_dice: 0.9766, decode.d7.loss_cls: 0.5610, decode.d7.loss_mask: 0.6705, decode.d7.loss_dice: 0.9783, decode.d8.loss_cls: 0.5662, decode.d8.loss_mask: 0.6677, decode.d8.loss_dice: 0.9813, loss: 24.0674, grad_norm: 75.2675 2023-11-22 01:16:50,583 - mmseg - INFO - Iter [24500/160000] lr: 8.066e-06, eta: 22:15:01, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5341, decode.loss_mask: 0.6970, decode.loss_dice: 0.9775, decode.d0.loss_cls: 1.7923, decode.d0.loss_mask: 0.7284, decode.d0.loss_dice: 1.1424, decode.d1.loss_cls: 0.6664, decode.d1.loss_mask: 0.7239, decode.d1.loss_dice: 1.0518, decode.d2.loss_cls: 0.5867, decode.d2.loss_mask: 0.7082, decode.d2.loss_dice: 1.0142, decode.d3.loss_cls: 0.5638, decode.d3.loss_mask: 0.7024, decode.d3.loss_dice: 0.9925, decode.d4.loss_cls: 0.5548, decode.d4.loss_mask: 0.7017, decode.d4.loss_dice: 0.9944, decode.d5.loss_cls: 0.5474, decode.d5.loss_mask: 0.6975, decode.d5.loss_dice: 0.9878, decode.d6.loss_cls: 0.5388, decode.d6.loss_mask: 0.6945, decode.d6.loss_dice: 0.9795, decode.d7.loss_cls: 0.5402, decode.d7.loss_mask: 0.6993, decode.d7.loss_dice: 0.9796, decode.d8.loss_cls: 0.5361, decode.d8.loss_mask: 0.6935, decode.d8.loss_dice: 0.9796, loss: 24.0061, grad_norm: 79.9185 2023-11-22 01:17:18,871 - mmseg - INFO - Iter [24550/160000] lr: 8.063e-06, eta: 22:14:24, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5380, decode.loss_mask: 0.6954, decode.loss_dice: 0.9897, decode.d0.loss_cls: 1.8149, decode.d0.loss_mask: 0.7392, decode.d0.loss_dice: 1.1617, decode.d1.loss_cls: 0.6806, decode.d1.loss_mask: 0.7278, decode.d1.loss_dice: 1.0652, decode.d2.loss_cls: 0.5975, decode.d2.loss_mask: 0.7029, decode.d2.loss_dice: 1.0289, decode.d3.loss_cls: 0.5684, decode.d3.loss_mask: 0.6999, decode.d3.loss_dice: 1.0053, decode.d4.loss_cls: 0.5561, decode.d4.loss_mask: 0.6960, decode.d4.loss_dice: 1.0041, decode.d5.loss_cls: 0.5540, decode.d5.loss_mask: 0.6969, decode.d5.loss_dice: 1.0035, decode.d6.loss_cls: 0.5518, decode.d6.loss_mask: 0.6939, decode.d6.loss_dice: 0.9920, decode.d7.loss_cls: 0.5404, decode.d7.loss_mask: 0.6929, decode.d7.loss_dice: 0.9974, decode.d8.loss_cls: 0.5414, decode.d8.loss_mask: 0.6925, decode.d8.loss_dice: 0.9979, loss: 24.2262, grad_norm: 73.7195 2023-11-22 01:17:47,217 - mmseg - INFO - Iter [24600/160000] lr: 8.060e-06, eta: 22:13:48, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5632, decode.loss_mask: 0.6802, decode.loss_dice: 0.9703, decode.d0.loss_cls: 1.8028, decode.d0.loss_mask: 0.7180, decode.d0.loss_dice: 1.1442, decode.d1.loss_cls: 0.6912, decode.d1.loss_mask: 0.7057, decode.d1.loss_dice: 1.0470, decode.d2.loss_cls: 0.6158, decode.d2.loss_mask: 0.6816, decode.d2.loss_dice: 1.0093, decode.d3.loss_cls: 0.5875, decode.d3.loss_mask: 0.6808, decode.d3.loss_dice: 0.9834, decode.d4.loss_cls: 0.5817, decode.d4.loss_mask: 0.6764, decode.d4.loss_dice: 0.9794, decode.d5.loss_cls: 0.5791, decode.d5.loss_mask: 0.6748, decode.d5.loss_dice: 0.9691, decode.d6.loss_cls: 0.5651, decode.d6.loss_mask: 0.6813, decode.d6.loss_dice: 0.9666, decode.d7.loss_cls: 0.5699, decode.d7.loss_mask: 0.6776, decode.d7.loss_dice: 0.9701, decode.d8.loss_cls: 0.5669, decode.d8.loss_mask: 0.6837, decode.d8.loss_dice: 0.9666, loss: 23.9893, grad_norm: 82.6015 2023-11-22 01:18:15,959 - mmseg - INFO - Iter [24650/160000] lr: 8.057e-06, eta: 22:13:14, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5404, decode.loss_mask: 0.6704, decode.loss_dice: 0.9412, decode.d0.loss_cls: 1.7976, decode.d0.loss_mask: 0.7136, decode.d0.loss_dice: 1.1111, decode.d1.loss_cls: 0.6910, decode.d1.loss_mask: 0.6989, decode.d1.loss_dice: 1.0247, decode.d2.loss_cls: 0.5959, decode.d2.loss_mask: 0.6828, decode.d2.loss_dice: 0.9893, decode.d3.loss_cls: 0.5654, decode.d3.loss_mask: 0.6764, decode.d3.loss_dice: 0.9625, decode.d4.loss_cls: 0.5621, decode.d4.loss_mask: 0.6745, decode.d4.loss_dice: 0.9588, decode.d5.loss_cls: 0.5556, decode.d5.loss_mask: 0.6716, decode.d5.loss_dice: 0.9504, decode.d6.loss_cls: 0.5530, decode.d6.loss_mask: 0.6666, decode.d6.loss_dice: 0.9373, decode.d7.loss_cls: 0.5510, decode.d7.loss_mask: 0.6671, decode.d7.loss_dice: 0.9393, decode.d8.loss_cls: 0.5498, decode.d8.loss_mask: 0.6699, decode.d8.loss_dice: 0.9422, loss: 23.5104, grad_norm: 75.1608 2023-11-22 01:18:44,326 - mmseg - INFO - Iter [24700/160000] lr: 8.055e-06, eta: 22:12:38, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5552, decode.loss_mask: 0.6625, decode.loss_dice: 0.9697, decode.d0.loss_cls: 1.8076, decode.d0.loss_mask: 0.6977, decode.d0.loss_dice: 1.1501, decode.d1.loss_cls: 0.6877, decode.d1.loss_mask: 0.6903, decode.d1.loss_dice: 1.0542, decode.d2.loss_cls: 0.6229, decode.d2.loss_mask: 0.6739, decode.d2.loss_dice: 1.0041, decode.d3.loss_cls: 0.5895, decode.d3.loss_mask: 0.6687, decode.d3.loss_dice: 0.9805, decode.d4.loss_cls: 0.5839, decode.d4.loss_mask: 0.6628, decode.d4.loss_dice: 0.9764, decode.d5.loss_cls: 0.5762, decode.d5.loss_mask: 0.6644, decode.d5.loss_dice: 0.9715, decode.d6.loss_cls: 0.5746, decode.d6.loss_mask: 0.6639, decode.d6.loss_dice: 0.9637, decode.d7.loss_cls: 0.5610, decode.d7.loss_mask: 0.6632, decode.d7.loss_dice: 0.9654, decode.d8.loss_cls: 0.5559, decode.d8.loss_mask: 0.6631, decode.d8.loss_dice: 0.9680, loss: 23.8287, grad_norm: 71.2045 2023-11-22 01:19:12,874 - mmseg - INFO - Iter [24750/160000] lr: 8.052e-06, eta: 22:12:03, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5764, decode.loss_mask: 0.6771, decode.loss_dice: 0.9907, decode.d0.loss_cls: 1.8388, decode.d0.loss_mask: 0.7153, decode.d0.loss_dice: 1.1600, decode.d1.loss_cls: 0.7048, decode.d1.loss_mask: 0.7067, decode.d1.loss_dice: 1.0673, decode.d2.loss_cls: 0.6269, decode.d2.loss_mask: 0.6858, decode.d2.loss_dice: 1.0257, decode.d3.loss_cls: 0.6055, decode.d3.loss_mask: 0.6785, decode.d3.loss_dice: 1.0058, decode.d4.loss_cls: 0.5968, decode.d4.loss_mask: 0.6784, decode.d4.loss_dice: 0.9984, decode.d5.loss_cls: 0.5928, decode.d5.loss_mask: 0.6753, decode.d5.loss_dice: 0.9927, decode.d6.loss_cls: 0.5914, decode.d6.loss_mask: 0.6748, decode.d6.loss_dice: 0.9910, decode.d7.loss_cls: 0.5873, decode.d7.loss_mask: 0.6773, decode.d7.loss_dice: 0.9906, decode.d8.loss_cls: 0.5861, decode.d8.loss_mask: 0.6782, decode.d8.loss_dice: 0.9876, loss: 24.3641, grad_norm: 76.1596 2023-11-22 01:19:41,279 - mmseg - INFO - Iter [24800/160000] lr: 8.049e-06, eta: 22:11:27, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5597, decode.loss_mask: 0.6957, decode.loss_dice: 0.9757, decode.d0.loss_cls: 1.7892, decode.d0.loss_mask: 0.7398, decode.d0.loss_dice: 1.1407, decode.d1.loss_cls: 0.6838, decode.d1.loss_mask: 0.7218, decode.d1.loss_dice: 1.0507, decode.d2.loss_cls: 0.6048, decode.d2.loss_mask: 0.7138, decode.d2.loss_dice: 1.0092, decode.d3.loss_cls: 0.5824, decode.d3.loss_mask: 0.6989, decode.d3.loss_dice: 0.9878, decode.d4.loss_cls: 0.5751, decode.d4.loss_mask: 0.6977, decode.d4.loss_dice: 0.9833, decode.d5.loss_cls: 0.5738, decode.d5.loss_mask: 0.6977, decode.d5.loss_dice: 0.9829, decode.d6.loss_cls: 0.5674, decode.d6.loss_mask: 0.6981, decode.d6.loss_dice: 0.9821, decode.d7.loss_cls: 0.5678, decode.d7.loss_mask: 0.6962, decode.d7.loss_dice: 0.9789, decode.d8.loss_cls: 0.5675, decode.d8.loss_mask: 0.6976, decode.d8.loss_dice: 0.9753, loss: 24.1957, grad_norm: 78.4182 2023-11-22 01:20:09,736 - mmseg - INFO - Iter [24850/160000] lr: 8.046e-06, eta: 22:10:52, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5484, decode.loss_mask: 0.6511, decode.loss_dice: 0.9530, decode.d0.loss_cls: 1.8128, decode.d0.loss_mask: 0.6946, decode.d0.loss_dice: 1.1165, decode.d1.loss_cls: 0.6728, decode.d1.loss_mask: 0.6858, decode.d1.loss_dice: 1.0310, decode.d2.loss_cls: 0.5976, decode.d2.loss_mask: 0.6643, decode.d2.loss_dice: 0.9862, decode.d3.loss_cls: 0.5720, decode.d3.loss_mask: 0.6530, decode.d3.loss_dice: 0.9550, decode.d4.loss_cls: 0.5646, decode.d4.loss_mask: 0.6560, decode.d4.loss_dice: 0.9580, decode.d5.loss_cls: 0.5578, decode.d5.loss_mask: 0.6528, decode.d5.loss_dice: 0.9597, decode.d6.loss_cls: 0.5536, decode.d6.loss_mask: 0.6498, decode.d6.loss_dice: 0.9516, decode.d7.loss_cls: 0.5490, decode.d7.loss_mask: 0.6558, decode.d7.loss_dice: 0.9537, decode.d8.loss_cls: 0.5523, decode.d8.loss_mask: 0.6541, decode.d8.loss_dice: 0.9511, loss: 23.4141, grad_norm: 78.9379 2023-11-22 01:20:38,177 - mmseg - INFO - Iter [24900/160000] lr: 8.043e-06, eta: 22:10:16, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5499, decode.loss_mask: 0.6700, decode.loss_dice: 0.9380, decode.d0.loss_cls: 1.7797, decode.d0.loss_mask: 0.7108, decode.d0.loss_dice: 1.1083, decode.d1.loss_cls: 0.6774, decode.d1.loss_mask: 0.7094, decode.d1.loss_dice: 1.0221, decode.d2.loss_cls: 0.5986, decode.d2.loss_mask: 0.6883, decode.d2.loss_dice: 0.9773, decode.d3.loss_cls: 0.5663, decode.d3.loss_mask: 0.6865, decode.d3.loss_dice: 0.9476, decode.d4.loss_cls: 0.5613, decode.d4.loss_mask: 0.6786, decode.d4.loss_dice: 0.9475, decode.d5.loss_cls: 0.5609, decode.d5.loss_mask: 0.6819, decode.d5.loss_dice: 0.9499, decode.d6.loss_cls: 0.5541, decode.d6.loss_mask: 0.6759, decode.d6.loss_dice: 0.9362, decode.d7.loss_cls: 0.5550, decode.d7.loss_mask: 0.6712, decode.d7.loss_dice: 0.9455, decode.d8.loss_cls: 0.5544, decode.d8.loss_mask: 0.6722, decode.d8.loss_dice: 0.9421, loss: 23.5172, grad_norm: 74.4517 2023-11-22 01:21:06,870 - mmseg - INFO - Iter [24950/160000] lr: 8.040e-06, eta: 22:09:42, time: 0.574, data_time: 0.015, memory: 38143, decode.loss_cls: 0.5601, decode.loss_mask: 0.6381, decode.loss_dice: 0.9523, decode.d0.loss_cls: 1.8400, decode.d0.loss_mask: 0.6797, decode.d0.loss_dice: 1.1249, decode.d1.loss_cls: 0.6957, decode.d1.loss_mask: 0.6616, decode.d1.loss_dice: 1.0224, decode.d2.loss_cls: 0.6130, decode.d2.loss_mask: 0.6508, decode.d2.loss_dice: 0.9834, decode.d3.loss_cls: 0.5900, decode.d3.loss_mask: 0.6417, decode.d3.loss_dice: 0.9608, decode.d4.loss_cls: 0.5788, decode.d4.loss_mask: 0.6387, decode.d4.loss_dice: 0.9570, decode.d5.loss_cls: 0.5717, decode.d5.loss_mask: 0.6396, decode.d5.loss_dice: 0.9586, decode.d6.loss_cls: 0.5661, decode.d6.loss_mask: 0.6397, decode.d6.loss_dice: 0.9594, decode.d7.loss_cls: 0.5716, decode.d7.loss_mask: 0.6379, decode.d7.loss_dice: 0.9568, decode.d8.loss_cls: 0.5632, decode.d8.loss_mask: 0.6383, decode.d8.loss_dice: 0.9592, loss: 23.4514, grad_norm: 73.4956 2023-11-22 01:21:35,576 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 01:21:35,576 - mmseg - INFO - Iter [25000/160000] lr: 8.037e-06, eta: 22:09:08, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5882, decode.loss_mask: 0.6480, decode.loss_dice: 0.9608, decode.d0.loss_cls: 1.8809, decode.d0.loss_mask: 0.6837, decode.d0.loss_dice: 1.1525, decode.d1.loss_cls: 0.7134, decode.d1.loss_mask: 0.6802, decode.d1.loss_dice: 1.0510, decode.d2.loss_cls: 0.6427, decode.d2.loss_mask: 0.6606, decode.d2.loss_dice: 0.9831, decode.d3.loss_cls: 0.6112, decode.d3.loss_mask: 0.6499, decode.d3.loss_dice: 0.9662, decode.d4.loss_cls: 0.6011, decode.d4.loss_mask: 0.6497, decode.d4.loss_dice: 0.9622, decode.d5.loss_cls: 0.5934, decode.d5.loss_mask: 0.6533, decode.d5.loss_dice: 0.9673, decode.d6.loss_cls: 0.5896, decode.d6.loss_mask: 0.6492, decode.d6.loss_dice: 0.9600, decode.d7.loss_cls: 0.5819, decode.d7.loss_mask: 0.6486, decode.d7.loss_dice: 0.9605, decode.d8.loss_cls: 0.5851, decode.d8.loss_mask: 0.6527, decode.d8.loss_dice: 0.9651, loss: 23.8922, grad_norm: 74.9337 2023-11-22 01:22:04,037 - mmseg - INFO - Iter [25050/160000] lr: 8.034e-06, eta: 22:08:33, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5908, decode.loss_mask: 0.6586, decode.loss_dice: 0.9858, decode.d0.loss_cls: 1.9075, decode.d0.loss_mask: 0.6950, decode.d0.loss_dice: 1.1788, decode.d1.loss_cls: 0.7435, decode.d1.loss_mask: 0.6745, decode.d1.loss_dice: 1.0648, decode.d2.loss_cls: 0.6482, decode.d2.loss_mask: 0.6585, decode.d2.loss_dice: 1.0218, decode.d3.loss_cls: 0.6198, decode.d3.loss_mask: 0.6592, decode.d3.loss_dice: 1.0006, decode.d4.loss_cls: 0.6127, decode.d4.loss_mask: 0.6548, decode.d4.loss_dice: 0.9968, decode.d5.loss_cls: 0.5983, decode.d5.loss_mask: 0.6589, decode.d5.loss_dice: 0.9959, decode.d6.loss_cls: 0.5995, decode.d6.loss_mask: 0.6572, decode.d6.loss_dice: 0.9857, decode.d7.loss_cls: 0.5964, decode.d7.loss_mask: 0.6571, decode.d7.loss_dice: 0.9916, decode.d8.loss_cls: 0.6003, decode.d8.loss_mask: 0.6540, decode.d8.loss_dice: 0.9882, loss: 24.3546, grad_norm: 72.6108 2023-11-22 01:22:32,745 - mmseg - INFO - Iter [25100/160000] lr: 8.031e-06, eta: 22:07:59, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5503, decode.loss_mask: 0.6616, decode.loss_dice: 0.9786, decode.d0.loss_cls: 1.8158, decode.d0.loss_mask: 0.7050, decode.d0.loss_dice: 1.1408, decode.d1.loss_cls: 0.6772, decode.d1.loss_mask: 0.6926, decode.d1.loss_dice: 1.0429, decode.d2.loss_cls: 0.6049, decode.d2.loss_mask: 0.6766, decode.d2.loss_dice: 1.0048, decode.d3.loss_cls: 0.5735, decode.d3.loss_mask: 0.6678, decode.d3.loss_dice: 0.9821, decode.d4.loss_cls: 0.5722, decode.d4.loss_mask: 0.6674, decode.d4.loss_dice: 0.9778, decode.d5.loss_cls: 0.5545, decode.d5.loss_mask: 0.6690, decode.d5.loss_dice: 0.9866, decode.d6.loss_cls: 0.5468, decode.d6.loss_mask: 0.6659, decode.d6.loss_dice: 0.9752, decode.d7.loss_cls: 0.5456, decode.d7.loss_mask: 0.6629, decode.d7.loss_dice: 0.9810, decode.d8.loss_cls: 0.5408, decode.d8.loss_mask: 0.6619, decode.d8.loss_dice: 0.9838, loss: 23.7658, grad_norm: 74.6977 2023-11-22 01:23:01,385 - mmseg - INFO - Iter [25150/160000] lr: 8.028e-06, eta: 22:07:24, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5499, decode.loss_mask: 0.6701, decode.loss_dice: 0.9812, decode.d0.loss_cls: 1.7924, decode.d0.loss_mask: 0.7114, decode.d0.loss_dice: 1.1571, decode.d1.loss_cls: 0.6798, decode.d1.loss_mask: 0.6978, decode.d1.loss_dice: 1.0540, decode.d2.loss_cls: 0.6069, decode.d2.loss_mask: 0.6843, decode.d2.loss_dice: 1.0112, decode.d3.loss_cls: 0.5735, decode.d3.loss_mask: 0.6730, decode.d3.loss_dice: 0.9887, decode.d4.loss_cls: 0.5714, decode.d4.loss_mask: 0.6734, decode.d4.loss_dice: 0.9952, decode.d5.loss_cls: 0.5711, decode.d5.loss_mask: 0.6688, decode.d5.loss_dice: 0.9883, decode.d6.loss_cls: 0.5570, decode.d6.loss_mask: 0.6652, decode.d6.loss_dice: 0.9842, decode.d7.loss_cls: 0.5522, decode.d7.loss_mask: 0.6694, decode.d7.loss_dice: 0.9927, decode.d8.loss_cls: 0.5498, decode.d8.loss_mask: 0.6737, decode.d8.loss_dice: 0.9896, loss: 23.9333, grad_norm: 74.3571 2023-11-22 01:23:30,112 - mmseg - INFO - Iter [25200/160000] lr: 8.025e-06, eta: 22:06:50, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5487, decode.loss_mask: 0.6719, decode.loss_dice: 0.9618, decode.d0.loss_cls: 1.8539, decode.d0.loss_mask: 0.6972, decode.d0.loss_dice: 1.1233, decode.d1.loss_cls: 0.6893, decode.d1.loss_mask: 0.6958, decode.d1.loss_dice: 1.0352, decode.d2.loss_cls: 0.6098, decode.d2.loss_mask: 0.6748, decode.d2.loss_dice: 0.9945, decode.d3.loss_cls: 0.5844, decode.d3.loss_mask: 0.6671, decode.d3.loss_dice: 0.9785, decode.d4.loss_cls: 0.5730, decode.d4.loss_mask: 0.6683, decode.d4.loss_dice: 0.9713, decode.d5.loss_cls: 0.5573, decode.d5.loss_mask: 0.6726, decode.d5.loss_dice: 0.9658, decode.d6.loss_cls: 0.5512, decode.d6.loss_mask: 0.6733, decode.d6.loss_dice: 0.9610, decode.d7.loss_cls: 0.5540, decode.d7.loss_mask: 0.6690, decode.d7.loss_dice: 0.9712, decode.d8.loss_cls: 0.5498, decode.d8.loss_mask: 0.6702, decode.d8.loss_dice: 0.9665, loss: 23.7605, grad_norm: 74.7849 2023-11-22 01:23:58,685 - mmseg - INFO - Iter [25250/160000] lr: 8.022e-06, eta: 22:06:16, time: 0.573, data_time: 0.015, memory: 38143, decode.loss_cls: 0.5588, decode.loss_mask: 0.6823, decode.loss_dice: 0.9764, decode.d0.loss_cls: 1.7841, decode.d0.loss_mask: 0.7231, decode.d0.loss_dice: 1.1244, decode.d1.loss_cls: 0.6739, decode.d1.loss_mask: 0.7123, decode.d1.loss_dice: 1.0367, decode.d2.loss_cls: 0.6174, decode.d2.loss_mask: 0.6895, decode.d2.loss_dice: 0.9948, decode.d3.loss_cls: 0.5758, decode.d3.loss_mask: 0.6840, decode.d3.loss_dice: 0.9843, decode.d4.loss_cls: 0.5596, decode.d4.loss_mask: 0.6853, decode.d4.loss_dice: 0.9875, decode.d5.loss_cls: 0.5578, decode.d5.loss_mask: 0.6873, decode.d5.loss_dice: 0.9850, decode.d6.loss_cls: 0.5561, decode.d6.loss_mask: 0.6850, decode.d6.loss_dice: 0.9815, decode.d7.loss_cls: 0.5567, decode.d7.loss_mask: 0.6878, decode.d7.loss_dice: 0.9844, decode.d8.loss_cls: 0.5577, decode.d8.loss_mask: 0.6828, decode.d8.loss_dice: 0.9830, loss: 23.9553, grad_norm: 74.1656 2023-11-22 01:24:29,638 - mmseg - INFO - Iter [25300/160000] lr: 8.019e-06, eta: 22:05:54, time: 0.619, data_time: 0.060, memory: 38143, decode.loss_cls: 0.5609, decode.loss_mask: 0.6700, decode.loss_dice: 0.9855, decode.d0.loss_cls: 1.7998, decode.d0.loss_mask: 0.7069, decode.d0.loss_dice: 1.1498, decode.d1.loss_cls: 0.6767, decode.d1.loss_mask: 0.6982, decode.d1.loss_dice: 1.0647, decode.d2.loss_cls: 0.6168, decode.d2.loss_mask: 0.6761, decode.d2.loss_dice: 1.0154, decode.d3.loss_cls: 0.5864, decode.d3.loss_mask: 0.6732, decode.d3.loss_dice: 0.9902, decode.d4.loss_cls: 0.5793, decode.d4.loss_mask: 0.6718, decode.d4.loss_dice: 0.9887, decode.d5.loss_cls: 0.5658, decode.d5.loss_mask: 0.6724, decode.d5.loss_dice: 0.9819, decode.d6.loss_cls: 0.5661, decode.d6.loss_mask: 0.6681, decode.d6.loss_dice: 0.9813, decode.d7.loss_cls: 0.5659, decode.d7.loss_mask: 0.6678, decode.d7.loss_dice: 0.9862, decode.d8.loss_cls: 0.5573, decode.d8.loss_mask: 0.6703, decode.d8.loss_dice: 0.9869, loss: 23.9805, grad_norm: 77.8638 2023-11-22 01:24:58,130 - mmseg - INFO - Iter [25350/160000] lr: 8.016e-06, eta: 22:05:19, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5166, decode.loss_mask: 0.6479, decode.loss_dice: 0.9425, decode.d0.loss_cls: 1.7806, decode.d0.loss_mask: 0.6922, decode.d0.loss_dice: 1.1063, decode.d1.loss_cls: 0.6451, decode.d1.loss_mask: 0.6780, decode.d1.loss_dice: 1.0151, decode.d2.loss_cls: 0.5707, decode.d2.loss_mask: 0.6575, decode.d2.loss_dice: 0.9739, decode.d3.loss_cls: 0.5343, decode.d3.loss_mask: 0.6552, decode.d3.loss_dice: 0.9520, decode.d4.loss_cls: 0.5241, decode.d4.loss_mask: 0.6550, decode.d4.loss_dice: 0.9539, decode.d5.loss_cls: 0.5271, decode.d5.loss_mask: 0.6502, decode.d5.loss_dice: 0.9513, decode.d6.loss_cls: 0.5201, decode.d6.loss_mask: 0.6516, decode.d6.loss_dice: 0.9440, decode.d7.loss_cls: 0.5145, decode.d7.loss_mask: 0.6526, decode.d7.loss_dice: 0.9426, decode.d8.loss_cls: 0.5180, decode.d8.loss_mask: 0.6517, decode.d8.loss_dice: 0.9438, loss: 22.9681, grad_norm: 73.8696 2023-11-22 01:25:26,850 - mmseg - INFO - Iter [25400/160000] lr: 8.013e-06, eta: 22:04:45, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5370, decode.loss_mask: 0.6764, decode.loss_dice: 0.9679, decode.d0.loss_cls: 1.8054, decode.d0.loss_mask: 0.7205, decode.d0.loss_dice: 1.1410, decode.d1.loss_cls: 0.6729, decode.d1.loss_mask: 0.7011, decode.d1.loss_dice: 1.0349, decode.d2.loss_cls: 0.5903, decode.d2.loss_mask: 0.6803, decode.d2.loss_dice: 0.9954, decode.d3.loss_cls: 0.5555, decode.d3.loss_mask: 0.6786, decode.d3.loss_dice: 0.9803, decode.d4.loss_cls: 0.5536, decode.d4.loss_mask: 0.6754, decode.d4.loss_dice: 0.9800, decode.d5.loss_cls: 0.5535, decode.d5.loss_mask: 0.6758, decode.d5.loss_dice: 0.9742, decode.d6.loss_cls: 0.5454, decode.d6.loss_mask: 0.6741, decode.d6.loss_dice: 0.9660, decode.d7.loss_cls: 0.5345, decode.d7.loss_mask: 0.6773, decode.d7.loss_dice: 0.9708, decode.d8.loss_cls: 0.5374, decode.d8.loss_mask: 0.6783, decode.d8.loss_dice: 0.9741, loss: 23.7078, grad_norm: 73.3863 2023-11-22 01:25:55,546 - mmseg - INFO - Iter [25450/160000] lr: 8.010e-06, eta: 22:04:11, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5486, decode.loss_mask: 0.6478, decode.loss_dice: 0.9611, decode.d0.loss_cls: 1.8312, decode.d0.loss_mask: 0.6951, decode.d0.loss_dice: 1.1318, decode.d1.loss_cls: 0.6836, decode.d1.loss_mask: 0.6774, decode.d1.loss_dice: 1.0312, decode.d2.loss_cls: 0.6040, decode.d2.loss_mask: 0.6599, decode.d2.loss_dice: 0.9959, decode.d3.loss_cls: 0.5670, decode.d3.loss_mask: 0.6521, decode.d3.loss_dice: 0.9708, decode.d4.loss_cls: 0.5546, decode.d4.loss_mask: 0.6512, decode.d4.loss_dice: 0.9751, decode.d5.loss_cls: 0.5499, decode.d5.loss_mask: 0.6535, decode.d5.loss_dice: 0.9651, decode.d6.loss_cls: 0.5534, decode.d6.loss_mask: 0.6488, decode.d6.loss_dice: 0.9586, decode.d7.loss_cls: 0.5470, decode.d7.loss_mask: 0.6514, decode.d7.loss_dice: 0.9569, decode.d8.loss_cls: 0.5496, decode.d8.loss_mask: 0.6468, decode.d8.loss_dice: 0.9654, loss: 23.4847, grad_norm: 75.8932 2023-11-22 01:26:24,149 - mmseg - INFO - Iter [25500/160000] lr: 8.007e-06, eta: 22:03:37, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5566, decode.loss_mask: 0.6501, decode.loss_dice: 0.9457, decode.d0.loss_cls: 1.8291, decode.d0.loss_mask: 0.6928, decode.d0.loss_dice: 1.1171, decode.d1.loss_cls: 0.6823, decode.d1.loss_mask: 0.6794, decode.d1.loss_dice: 1.0231, decode.d2.loss_cls: 0.6075, decode.d2.loss_mask: 0.6640, decode.d2.loss_dice: 0.9910, decode.d3.loss_cls: 0.5852, decode.d3.loss_mask: 0.6587, decode.d3.loss_dice: 0.9562, decode.d4.loss_cls: 0.5707, decode.d4.loss_mask: 0.6583, decode.d4.loss_dice: 0.9588, decode.d5.loss_cls: 0.5617, decode.d5.loss_mask: 0.6594, decode.d5.loss_dice: 0.9598, decode.d6.loss_cls: 0.5635, decode.d6.loss_mask: 0.6548, decode.d6.loss_dice: 0.9522, decode.d7.loss_cls: 0.5555, decode.d7.loss_mask: 0.6550, decode.d7.loss_dice: 0.9510, decode.d8.loss_cls: 0.5588, decode.d8.loss_mask: 0.6523, decode.d8.loss_dice: 0.9566, loss: 23.5072, grad_norm: 69.8337 2023-11-22 01:26:52,913 - mmseg - INFO - Iter [25550/160000] lr: 8.004e-06, eta: 22:03:03, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5407, decode.loss_mask: 0.6543, decode.loss_dice: 0.9407, decode.d0.loss_cls: 1.8225, decode.d0.loss_mask: 0.6978, decode.d0.loss_dice: 1.1130, decode.d1.loss_cls: 0.6670, decode.d1.loss_mask: 0.6889, decode.d1.loss_dice: 1.0214, decode.d2.loss_cls: 0.5916, decode.d2.loss_mask: 0.6696, decode.d2.loss_dice: 0.9827, decode.d3.loss_cls: 0.5697, decode.d3.loss_mask: 0.6578, decode.d3.loss_dice: 0.9583, decode.d4.loss_cls: 0.5602, decode.d4.loss_mask: 0.6580, decode.d4.loss_dice: 0.9558, decode.d5.loss_cls: 0.5563, decode.d5.loss_mask: 0.6535, decode.d5.loss_dice: 0.9533, decode.d6.loss_cls: 0.5474, decode.d6.loss_mask: 0.6552, decode.d6.loss_dice: 0.9438, decode.d7.loss_cls: 0.5488, decode.d7.loss_mask: 0.6579, decode.d7.loss_dice: 0.9430, decode.d8.loss_cls: 0.5491, decode.d8.loss_mask: 0.6571, decode.d8.loss_dice: 0.9422, loss: 23.3574, grad_norm: 75.1886 2023-11-22 01:27:21,443 - mmseg - INFO - Iter [25600/160000] lr: 8.001e-06, eta: 22:02:28, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5420, decode.loss_mask: 0.6795, decode.loss_dice: 0.9527, decode.d0.loss_cls: 1.8016, decode.d0.loss_mask: 0.7275, decode.d0.loss_dice: 1.1155, decode.d1.loss_cls: 0.6575, decode.d1.loss_mask: 0.7150, decode.d1.loss_dice: 1.0226, decode.d2.loss_cls: 0.5879, decode.d2.loss_mask: 0.6973, decode.d2.loss_dice: 0.9979, decode.d3.loss_cls: 0.5597, decode.d3.loss_mask: 0.6888, decode.d3.loss_dice: 0.9666, decode.d4.loss_cls: 0.5561, decode.d4.loss_mask: 0.6860, decode.d4.loss_dice: 0.9671, decode.d5.loss_cls: 0.5463, decode.d5.loss_mask: 0.6852, decode.d5.loss_dice: 0.9647, decode.d6.loss_cls: 0.5489, decode.d6.loss_mask: 0.6805, decode.d6.loss_dice: 0.9530, decode.d7.loss_cls: 0.5436, decode.d7.loss_mask: 0.6788, decode.d7.loss_dice: 0.9587, decode.d8.loss_cls: 0.5404, decode.d8.loss_mask: 0.6814, decode.d8.loss_dice: 0.9584, loss: 23.6611, grad_norm: 74.0547 2023-11-22 01:27:49,788 - mmseg - INFO - Iter [25650/160000] lr: 7.998e-06, eta: 22:01:53, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.5604, decode.loss_mask: 0.7101, decode.loss_dice: 0.9898, decode.d0.loss_cls: 1.8000, decode.d0.loss_mask: 0.7480, decode.d0.loss_dice: 1.1493, decode.d1.loss_cls: 0.6932, decode.d1.loss_mask: 0.7322, decode.d1.loss_dice: 1.0530, decode.d2.loss_cls: 0.6204, decode.d2.loss_mask: 0.7149, decode.d2.loss_dice: 1.0130, decode.d3.loss_cls: 0.5890, decode.d3.loss_mask: 0.7072, decode.d3.loss_dice: 0.9913, decode.d4.loss_cls: 0.5760, decode.d4.loss_mask: 0.7041, decode.d4.loss_dice: 0.9952, decode.d5.loss_cls: 0.5753, decode.d5.loss_mask: 0.7046, decode.d5.loss_dice: 0.9941, decode.d6.loss_cls: 0.5657, decode.d6.loss_mask: 0.7058, decode.d6.loss_dice: 0.9877, decode.d7.loss_cls: 0.5576, decode.d7.loss_mask: 0.7088, decode.d7.loss_dice: 0.9894, decode.d8.loss_cls: 0.5606, decode.d8.loss_mask: 0.7055, decode.d8.loss_dice: 0.9841, loss: 24.3863, grad_norm: 81.5755 2023-11-22 01:28:18,196 - mmseg - INFO - Iter [25700/160000] lr: 7.995e-06, eta: 22:01:17, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5423, decode.loss_mask: 0.6523, decode.loss_dice: 0.9748, decode.d0.loss_cls: 1.8145, decode.d0.loss_mask: 0.6889, decode.d0.loss_dice: 1.1341, decode.d1.loss_cls: 0.6772, decode.d1.loss_mask: 0.6805, decode.d1.loss_dice: 1.0397, decode.d2.loss_cls: 0.5975, decode.d2.loss_mask: 0.6612, decode.d2.loss_dice: 1.0064, decode.d3.loss_cls: 0.5723, decode.d3.loss_mask: 0.6509, decode.d3.loss_dice: 0.9735, decode.d4.loss_cls: 0.5549, decode.d4.loss_mask: 0.6513, decode.d4.loss_dice: 0.9842, decode.d5.loss_cls: 0.5543, decode.d5.loss_mask: 0.6491, decode.d5.loss_dice: 0.9776, decode.d6.loss_cls: 0.5509, decode.d6.loss_mask: 0.6496, decode.d6.loss_dice: 0.9726, decode.d7.loss_cls: 0.5439, decode.d7.loss_mask: 0.6506, decode.d7.loss_dice: 0.9691, decode.d8.loss_cls: 0.5458, decode.d8.loss_mask: 0.6500, decode.d8.loss_dice: 0.9740, loss: 23.5441, grad_norm: 74.0845 2023-11-22 01:28:46,538 - mmseg - INFO - Iter [25750/160000] lr: 7.992e-06, eta: 22:00:42, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5330, decode.loss_mask: 0.6531, decode.loss_dice: 0.9575, decode.d0.loss_cls: 1.7917, decode.d0.loss_mask: 0.6877, decode.d0.loss_dice: 1.1288, decode.d1.loss_cls: 0.6655, decode.d1.loss_mask: 0.6804, decode.d1.loss_dice: 1.0363, decode.d2.loss_cls: 0.5910, decode.d2.loss_mask: 0.6570, decode.d2.loss_dice: 0.9824, decode.d3.loss_cls: 0.5696, decode.d3.loss_mask: 0.6508, decode.d3.loss_dice: 0.9637, decode.d4.loss_cls: 0.5581, decode.d4.loss_mask: 0.6549, decode.d4.loss_dice: 0.9658, decode.d5.loss_cls: 0.5473, decode.d5.loss_mask: 0.6528, decode.d5.loss_dice: 0.9591, decode.d6.loss_cls: 0.5441, decode.d6.loss_mask: 0.6498, decode.d6.loss_dice: 0.9527, decode.d7.loss_cls: 0.5341, decode.d7.loss_mask: 0.6516, decode.d7.loss_dice: 0.9572, decode.d8.loss_cls: 0.5352, decode.d8.loss_mask: 0.6576, decode.d8.loss_dice: 0.9543, loss: 23.3232, grad_norm: 73.5266 2023-11-22 01:29:15,268 - mmseg - INFO - Iter [25800/160000] lr: 7.989e-06, eta: 22:00:08, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5796, decode.loss_mask: 0.6652, decode.loss_dice: 0.9753, decode.d0.loss_cls: 1.8252, decode.d0.loss_mask: 0.7068, decode.d0.loss_dice: 1.1486, decode.d1.loss_cls: 0.7135, decode.d1.loss_mask: 0.6963, decode.d1.loss_dice: 1.0434, decode.d2.loss_cls: 0.6319, decode.d2.loss_mask: 0.6798, decode.d2.loss_dice: 0.9970, decode.d3.loss_cls: 0.6091, decode.d3.loss_mask: 0.6725, decode.d3.loss_dice: 0.9756, decode.d4.loss_cls: 0.6045, decode.d4.loss_mask: 0.6693, decode.d4.loss_dice: 0.9758, decode.d5.loss_cls: 0.5965, decode.d5.loss_mask: 0.6693, decode.d5.loss_dice: 0.9738, decode.d6.loss_cls: 0.5890, decode.d6.loss_mask: 0.6685, decode.d6.loss_dice: 0.9667, decode.d7.loss_cls: 0.5871, decode.d7.loss_mask: 0.6671, decode.d7.loss_dice: 0.9745, decode.d8.loss_cls: 0.5824, decode.d8.loss_mask: 0.6719, decode.d8.loss_dice: 0.9727, loss: 24.0890, grad_norm: 80.8207 2023-11-22 01:29:43,804 - mmseg - INFO - Iter [25850/160000] lr: 7.986e-06, eta: 21:59:34, time: 0.573, data_time: 0.016, memory: 38143, decode.loss_cls: 0.5574, decode.loss_mask: 0.6544, decode.loss_dice: 0.9707, decode.d0.loss_cls: 1.7998, decode.d0.loss_mask: 0.6882, decode.d0.loss_dice: 1.1375, decode.d1.loss_cls: 0.6913, decode.d1.loss_mask: 0.6842, decode.d1.loss_dice: 1.0370, decode.d2.loss_cls: 0.6097, decode.d2.loss_mask: 0.6635, decode.d2.loss_dice: 0.9951, decode.d3.loss_cls: 0.5823, decode.d3.loss_mask: 0.6585, decode.d3.loss_dice: 0.9777, decode.d4.loss_cls: 0.5715, decode.d4.loss_mask: 0.6548, decode.d4.loss_dice: 0.9760, decode.d5.loss_cls: 0.5695, decode.d5.loss_mask: 0.6532, decode.d5.loss_dice: 0.9817, decode.d6.loss_cls: 0.5699, decode.d6.loss_mask: 0.6498, decode.d6.loss_dice: 0.9725, decode.d7.loss_cls: 0.5574, decode.d7.loss_mask: 0.6540, decode.d7.loss_dice: 0.9757, decode.d8.loss_cls: 0.5635, decode.d8.loss_mask: 0.6525, decode.d8.loss_dice: 0.9703, loss: 23.6794, grad_norm: 75.5904 2023-11-22 01:30:12,189 - mmseg - INFO - Iter [25900/160000] lr: 7.983e-06, eta: 21:58:58, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5627, decode.loss_mask: 0.6658, decode.loss_dice: 0.9709, decode.d0.loss_cls: 1.7949, decode.d0.loss_mask: 0.7025, decode.d0.loss_dice: 1.1332, decode.d1.loss_cls: 0.6956, decode.d1.loss_mask: 0.6864, decode.d1.loss_dice: 1.0455, decode.d2.loss_cls: 0.6125, decode.d2.loss_mask: 0.6761, decode.d2.loss_dice: 1.0089, decode.d3.loss_cls: 0.5946, decode.d3.loss_mask: 0.6726, decode.d3.loss_dice: 0.9818, decode.d4.loss_cls: 0.5819, decode.d4.loss_mask: 0.6724, decode.d4.loss_dice: 0.9854, decode.d5.loss_cls: 0.5830, decode.d5.loss_mask: 0.6640, decode.d5.loss_dice: 0.9774, decode.d6.loss_cls: 0.5726, decode.d6.loss_mask: 0.6645, decode.d6.loss_dice: 0.9676, decode.d7.loss_cls: 0.5740, decode.d7.loss_mask: 0.6638, decode.d7.loss_dice: 0.9761, decode.d8.loss_cls: 0.5702, decode.d8.loss_mask: 0.6633, decode.d8.loss_dice: 0.9729, loss: 23.8933, grad_norm: 76.8418 2023-11-22 01:30:40,500 - mmseg - INFO - Iter [25950/160000] lr: 7.980e-06, eta: 21:58:23, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5503, decode.loss_mask: 0.6452, decode.loss_dice: 0.9422, decode.d0.loss_cls: 1.8022, decode.d0.loss_mask: 0.6786, decode.d0.loss_dice: 1.1133, decode.d1.loss_cls: 0.6900, decode.d1.loss_mask: 0.6732, decode.d1.loss_dice: 1.0058, decode.d2.loss_cls: 0.6003, decode.d2.loss_mask: 0.6535, decode.d2.loss_dice: 0.9708, decode.d3.loss_cls: 0.5782, decode.d3.loss_mask: 0.6433, decode.d3.loss_dice: 0.9539, decode.d4.loss_cls: 0.5697, decode.d4.loss_mask: 0.6455, decode.d4.loss_dice: 0.9495, decode.d5.loss_cls: 0.5595, decode.d5.loss_mask: 0.6466, decode.d5.loss_dice: 0.9447, decode.d6.loss_cls: 0.5530, decode.d6.loss_mask: 0.6468, decode.d6.loss_dice: 0.9368, decode.d7.loss_cls: 0.5498, decode.d7.loss_mask: 0.6444, decode.d7.loss_dice: 0.9392, decode.d8.loss_cls: 0.5500, decode.d8.loss_mask: 0.6474, decode.d8.loss_dice: 0.9342, loss: 23.2178, grad_norm: 70.7572 2023-11-22 01:31:08,825 - mmseg - INFO - Saving checkpoint at 26000 iterations 2023-11-22 01:31:16,993 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 01:31:16,993 - mmseg - INFO - Iter [26000/160000] lr: 7.977e-06, eta: 21:58:29, time: 0.730, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5751, decode.loss_mask: 0.6826, decode.loss_dice: 0.9843, decode.d0.loss_cls: 1.8304, decode.d0.loss_mask: 0.7235, decode.d0.loss_dice: 1.1661, decode.d1.loss_cls: 0.7211, decode.d1.loss_mask: 0.7089, decode.d1.loss_dice: 1.0673, decode.d2.loss_cls: 0.6267, decode.d2.loss_mask: 0.6932, decode.d2.loss_dice: 1.0256, decode.d3.loss_cls: 0.6017, decode.d3.loss_mask: 0.6888, decode.d3.loss_dice: 1.0006, decode.d4.loss_cls: 0.5923, decode.d4.loss_mask: 0.6877, decode.d4.loss_dice: 0.9954, decode.d5.loss_cls: 0.5843, decode.d5.loss_mask: 0.6857, decode.d5.loss_dice: 0.9952, decode.d6.loss_cls: 0.5861, decode.d6.loss_mask: 0.6805, decode.d6.loss_dice: 0.9859, decode.d7.loss_cls: 0.5762, decode.d7.loss_mask: 0.6834, decode.d7.loss_dice: 0.9857, decode.d8.loss_cls: 0.5805, decode.d8.loss_mask: 0.6812, decode.d8.loss_dice: 0.9803, loss: 24.3764, grad_norm: 81.0237 2023-11-22 01:31:36,210 - mmseg - INFO - per class results: 2023-11-22 01:31:36,215 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.08 | 88.91 | | building | 83.75 | 91.6 | | sky | 95.04 | 97.34 | | floor | 83.3 | 89.68 | | tree | 76.87 | 87.59 | | ceiling | 85.94 | 92.64 | | road | 85.08 | 90.83 | | bed | 92.76 | 96.57 | | windowpane | 65.27 | 78.9 | | grass | 70.86 | 88.3 | | cabinet | 63.73 | 77.47 | | sidewalk | 68.91 | 86.2 | | person | 85.61 | 91.78 | | earth | 35.85 | 46.5 | | door | 56.06 | 78.11 | | table | 68.92 | 81.83 | | mountain | 57.8 | 71.34 | | plant | 57.18 | 72.01 | | curtain | 80.46 | 91.46 | | chair | 63.23 | 75.89 | | car | 86.94 | 92.99 | | water | 56.51 | 79.54 | | painting | 74.61 | 90.76 | | sofa | 71.1 | 90.18 | | shelf | 44.14 | 57.68 | | house | 47.76 | 68.56 | | sea | 63.18 | 76.77 | | mirror | 73.46 | 88.01 | | rug | 69.19 | 85.96 | | field | 35.49 | 56.74 | | armchair | 44.33 | 60.53 | | seat | 64.26 | 85.55 | | fence | 37.04 | 49.86 | | desk | 49.4 | 70.16 | | rock | 56.03 | 77.13 | | wardrobe | 47.73 | 66.15 | | lamp | 71.45 | 82.9 | | bathtub | 82.71 | 85.51 | | railing | 32.92 | 52.6 | | cushion | 64.89 | 81.58 | | base | 25.91 | 41.31 | | box | 36.14 | 51.32 | | column | 56.03 | 64.1 | | signboard | 41.71 | 60.33 | | chest of drawers | 47.04 | 72.73 | | counter | 36.85 | 50.77 | | sand | 35.49 | 50.16 | | sink | 77.43 | 84.68 | | skyscraper | 39.66 | 50.88 | | fireplace | 74.13 | 90.49 | | refrigerator | 79.92 | 87.55 | | grandstand | 54.06 | 72.46 | | path | 18.22 | 25.61 | | stairs | 37.39 | 46.46 | | runway | 65.4 | 75.18 | | case | 65.41 | 77.5 | | pool table | 94.79 | 96.7 | | pillow | 60.68 | 74.18 | | screen door | 65.45 | 69.74 | | stairway | 24.39 | 51.59 | | river | 3.59 | 4.12 | | bridge | 76.1 | 85.76 | | bookcase | 27.79 | 54.93 | | blind | 44.33 | 55.71 | | coffee table | 64.69 | 83.6 | | toilet | 90.0 | 92.74 | | flower | 46.71 | 59.23 | | book | 54.62 | 75.99 | | hill | 8.51 | 16.48 | | bench | 59.88 | 80.96 | | countertop | 56.74 | 71.88 | | stove | 78.58 | 83.91 | | palm | 60.25 | 73.73 | | kitchen island | 25.39 | 27.24 | | computer | 78.6 | 88.15 | | swivel chair | 53.3 | 69.62 | | boat | 80.4 | 92.14 | | bar | 55.61 | 65.4 | | arcade machine | 34.34 | 36.28 | | hovel | 43.66 | 48.98 | | bus | 92.98 | 96.03 | | towel | 77.25 | 89.53 | | light | 63.02 | 76.28 | | truck | 39.35 | 53.08 | | tower | 4.89 | 6.8 | | chandelier | 71.95 | 86.91 | | awning | 40.2 | 60.81 | | streetlight | 44.97 | 70.29 | | booth | 35.89 | 36.24 | | television receiver | 80.38 | 90.74 | | airplane | 64.37 | 69.62 | | dirt track | 0.0 | 0.0 | | apparel | 40.13 | 76.02 | | pole | 34.54 | 59.78 | | land | 2.15 | 3.06 | | bannister | 14.91 | 34.11 | | escalator | 8.96 | 9.16 | | ottoman | 56.11 | 73.62 | | bottle | 30.09 | 39.98 | | buffet | 36.37 | 48.0 | | poster | 32.99 | 47.03 | | stage | 14.43 | 34.36 | | van | 42.1 | 65.52 | | ship | 6.98 | 7.02 | | fountain | 22.18 | 23.27 | | conveyer belt | 73.86 | 94.03 | | canopy | 56.58 | 77.72 | | washer | 73.1 | 76.44 | | plaything | 39.84 | 60.48 | | swimming pool | 34.54 | 37.15 | | stool | 54.88 | 63.05 | | barrel | 77.32 | 87.76 | | basket | 33.1 | 60.81 | | waterfall | 63.26 | 89.61 | | tent | 94.68 | 98.15 | | bag | 23.73 | 38.23 | | minibike | 70.01 | 87.19 | | cradle | 82.4 | 99.07 | | oven | 53.57 | 67.4 | | ball | 58.46 | 78.75 | | food | 66.98 | 77.82 | | step | 30.36 | 43.92 | | tank | 31.34 | 31.94 | | trade name | 31.85 | 48.86 | | microwave | 82.61 | 96.14 | | pot | 44.69 | 56.27 | | animal | 73.42 | 77.51 | | bicycle | 61.03 | 86.85 | | lake | 0.0 | 0.0 | | dishwasher | 70.8 | 89.03 | | screen | 53.14 | 88.8 | | blanket | 37.4 | 47.82 | | sculpture | 69.16 | 89.47 | | hood | 68.53 | 74.06 | | sconce | 57.48 | 66.69 | | vase | 51.26 | 75.5 | | traffic light | 42.52 | 70.1 | | tray | 23.05 | 38.11 | | ashcan | 48.37 | 70.9 | | fan | 68.14 | 84.89 | | pier | 37.9 | 39.79 | | crt screen | 4.71 | 12.57 | | plate | 59.29 | 74.68 | | monitor | 0.07 | 0.07 | | bulletin board | 47.23 | 58.01 | | shower | 15.43 | 26.12 | | radiator | 67.43 | 89.85 | | glass | 24.57 | 28.72 | | clock | 33.08 | 48.48 | | flag | 68.84 | 78.81 | +---------------------+-------+-------+ 2023-11-22 01:31:36,215 - mmseg - INFO - Summary: 2023-11-22 01:31:36,215 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.67 | 52.84 | 65.86 | +-------+-------+-------+ 2023-11-22 01:31:36,382 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_l_640_160k_ade20k_ss/best_mIoU_iter_22000.pth was removed 2023-11-22 01:31:43,551 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_26000.pth. 2023-11-22 01:31:43,552 - mmseg - INFO - Best mIoU is 0.5284 at 26000 iter. 2023-11-22 01:31:43,552 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 01:31:43,552 - mmseg - INFO - Iter(val) [250] aAcc: 0.8467, mIoU: 0.5284, mAcc: 0.6586, IoU.wall: 0.8008, IoU.building: 0.8375, IoU.sky: 0.9504, IoU.floor: 0.8330, IoU.tree: 0.7687, IoU.ceiling: 0.8594, IoU.road: 0.8508, IoU.bed : 0.9276, IoU.windowpane: 0.6527, IoU.grass: 0.7086, IoU.cabinet: 0.6373, IoU.sidewalk: 0.6891, IoU.person: 0.8561, IoU.earth: 0.3585, IoU.door: 0.5606, IoU.table: 0.6892, IoU.mountain: 0.5780, IoU.plant: 0.5718, IoU.curtain: 0.8046, IoU.chair: 0.6323, IoU.car: 0.8694, IoU.water: 0.5651, IoU.painting: 0.7461, IoU.sofa: 0.7110, IoU.shelf: 0.4414, IoU.house: 0.4776, IoU.sea: 0.6318, IoU.mirror: 0.7346, IoU.rug: 0.6919, IoU.field: 0.3549, IoU.armchair: 0.4433, IoU.seat: 0.6426, IoU.fence: 0.3704, IoU.desk: 0.4940, IoU.rock: 0.5603, IoU.wardrobe: 0.4773, IoU.lamp: 0.7145, IoU.bathtub: 0.8271, IoU.railing: 0.3292, IoU.cushion: 0.6489, IoU.base: 0.2591, IoU.box: 0.3614, IoU.column: 0.5603, IoU.signboard: 0.4171, IoU.chest of drawers: 0.4704, IoU.counter: 0.3685, IoU.sand: 0.3549, IoU.sink: 0.7743, IoU.skyscraper: 0.3966, IoU.fireplace: 0.7413, IoU.refrigerator: 0.7992, IoU.grandstand: 0.5406, IoU.path: 0.1822, IoU.stairs: 0.3739, IoU.runway: 0.6540, IoU.case: 0.6541, IoU.pool table: 0.9479, IoU.pillow: 0.6068, IoU.screen door: 0.6545, IoU.stairway: 0.2439, IoU.river: 0.0359, IoU.bridge: 0.7610, IoU.bookcase: 0.2779, IoU.blind: 0.4433, IoU.coffee table: 0.6469, IoU.toilet: 0.9000, IoU.flower: 0.4671, IoU.book: 0.5462, IoU.hill: 0.0851, IoU.bench: 0.5988, IoU.countertop: 0.5674, IoU.stove: 0.7858, IoU.palm: 0.6025, IoU.kitchen island: 0.2539, IoU.computer: 0.7860, IoU.swivel chair: 0.5330, IoU.boat: 0.8040, IoU.bar: 0.5561, IoU.arcade machine: 0.3434, IoU.hovel: 0.4366, IoU.bus: 0.9298, IoU.towel: 0.7725, IoU.light: 0.6302, IoU.truck: 0.3935, IoU.tower: 0.0489, IoU.chandelier: 0.7195, IoU.awning: 0.4020, IoU.streetlight: 0.4497, IoU.booth: 0.3589, IoU.television receiver: 0.8038, IoU.airplane: 0.6437, IoU.dirt track: 0.0000, IoU.apparel: 0.4013, IoU.pole: 0.3454, IoU.land: 0.0215, IoU.bannister: 0.1491, IoU.escalator: 0.0896, IoU.ottoman: 0.5611, IoU.bottle: 0.3009, IoU.buffet: 0.3637, IoU.poster: 0.3299, IoU.stage: 0.1443, IoU.van: 0.4210, IoU.ship: 0.0698, IoU.fountain: 0.2218, IoU.conveyer belt: 0.7386, IoU.canopy: 0.5658, IoU.washer: 0.7310, IoU.plaything: 0.3984, IoU.swimming pool: 0.3454, IoU.stool: 0.5488, IoU.barrel: 0.7732, IoU.basket: 0.3310, IoU.waterfall: 0.6326, IoU.tent: 0.9468, IoU.bag: 0.2373, IoU.minibike: 0.7001, IoU.cradle: 0.8240, IoU.oven: 0.5357, IoU.ball: 0.5846, IoU.food: 0.6698, IoU.step: 0.3036, IoU.tank: 0.3134, IoU.trade name: 0.3185, IoU.microwave: 0.8261, IoU.pot: 0.4469, IoU.animal: 0.7342, IoU.bicycle: 0.6103, IoU.lake: 0.0000, IoU.dishwasher: 0.7080, IoU.screen: 0.5314, IoU.blanket: 0.3740, IoU.sculpture: 0.6916, IoU.hood: 0.6853, IoU.sconce: 0.5748, IoU.vase: 0.5126, IoU.traffic light: 0.4252, IoU.tray: 0.2305, IoU.ashcan: 0.4837, IoU.fan: 0.6814, IoU.pier: 0.3790, IoU.crt screen: 0.0471, IoU.plate: 0.5929, IoU.monitor: 0.0007, IoU.bulletin board: 0.4723, IoU.shower: 0.1543, IoU.radiator: 0.6743, IoU.glass: 0.2457, IoU.clock: 0.3308, IoU.flag: 0.6884, Acc.wall: 0.8891, Acc.building: 0.9160, Acc.sky: 0.9734, Acc.floor: 0.8968, Acc.tree: 0.8759, Acc.ceiling: 0.9264, Acc.road: 0.9083, Acc.bed : 0.9657, Acc.windowpane: 0.7890, Acc.grass: 0.8830, Acc.cabinet: 0.7747, Acc.sidewalk: 0.8620, Acc.person: 0.9178, Acc.earth: 0.4650, Acc.door: 0.7811, Acc.table: 0.8183, Acc.mountain: 0.7134, Acc.plant: 0.7201, Acc.curtain: 0.9146, Acc.chair: 0.7589, Acc.car: 0.9299, Acc.water: 0.7954, Acc.painting: 0.9076, Acc.sofa: 0.9018, Acc.shelf: 0.5768, Acc.house: 0.6856, Acc.sea: 0.7677, Acc.mirror: 0.8801, Acc.rug: 0.8596, Acc.field: 0.5674, Acc.armchair: 0.6053, Acc.seat: 0.8555, Acc.fence: 0.4986, Acc.desk: 0.7016, Acc.rock: 0.7713, Acc.wardrobe: 0.6615, Acc.lamp: 0.8290, Acc.bathtub: 0.8551, Acc.railing: 0.5260, Acc.cushion: 0.8158, Acc.base: 0.4131, Acc.box: 0.5132, Acc.column: 0.6410, Acc.signboard: 0.6033, Acc.chest of drawers: 0.7273, Acc.counter: 0.5077, Acc.sand: 0.5016, Acc.sink: 0.8468, Acc.skyscraper: 0.5088, Acc.fireplace: 0.9049, Acc.refrigerator: 0.8755, Acc.grandstand: 0.7246, Acc.path: 0.2561, Acc.stairs: 0.4646, Acc.runway: 0.7518, Acc.case: 0.7750, Acc.pool table: 0.9670, Acc.pillow: 0.7418, Acc.screen door: 0.6974, Acc.stairway: 0.5159, Acc.river: 0.0412, Acc.bridge: 0.8576, Acc.bookcase: 0.5493, Acc.blind: 0.5571, Acc.coffee table: 0.8360, Acc.toilet: 0.9274, Acc.flower: 0.5923, Acc.book: 0.7599, Acc.hill: 0.1648, Acc.bench: 0.8096, Acc.countertop: 0.7188, Acc.stove: 0.8391, Acc.palm: 0.7373, Acc.kitchen island: 0.2724, Acc.computer: 0.8815, Acc.swivel chair: 0.6962, Acc.boat: 0.9214, Acc.bar: 0.6540, Acc.arcade machine: 0.3628, Acc.hovel: 0.4898, Acc.bus: 0.9603, Acc.towel: 0.8953, Acc.light: 0.7628, Acc.truck: 0.5308, Acc.tower: 0.0680, Acc.chandelier: 0.8691, Acc.awning: 0.6081, Acc.streetlight: 0.7029, Acc.booth: 0.3624, Acc.television receiver: 0.9074, Acc.airplane: 0.6962, Acc.dirt track: 0.0000, Acc.apparel: 0.7602, Acc.pole: 0.5978, Acc.land: 0.0306, Acc.bannister: 0.3411, Acc.escalator: 0.0916, Acc.ottoman: 0.7362, Acc.bottle: 0.3998, Acc.buffet: 0.4800, Acc.poster: 0.4703, Acc.stage: 0.3436, Acc.van: 0.6552, Acc.ship: 0.0702, Acc.fountain: 0.2327, Acc.conveyer belt: 0.9403, Acc.canopy: 0.7772, Acc.washer: 0.7644, Acc.plaything: 0.6048, Acc.swimming pool: 0.3715, Acc.stool: 0.6305, Acc.barrel: 0.8776, Acc.basket: 0.6081, Acc.waterfall: 0.8961, Acc.tent: 0.9815, Acc.bag: 0.3823, Acc.minibike: 0.8719, Acc.cradle: 0.9907, Acc.oven: 0.6740, Acc.ball: 0.7875, Acc.food: 0.7782, Acc.step: 0.4392, Acc.tank: 0.3194, Acc.trade name: 0.4886, Acc.microwave: 0.9614, Acc.pot: 0.5627, Acc.animal: 0.7751, Acc.bicycle: 0.8685, Acc.lake: 0.0000, Acc.dishwasher: 0.8903, Acc.screen: 0.8880, Acc.blanket: 0.4782, Acc.sculpture: 0.8947, Acc.hood: 0.7406, Acc.sconce: 0.6669, Acc.vase: 0.7550, Acc.traffic light: 0.7010, Acc.tray: 0.3811, Acc.ashcan: 0.7090, Acc.fan: 0.8489, Acc.pier: 0.3979, Acc.crt screen: 0.1257, Acc.plate: 0.7468, Acc.monitor: 0.0007, Acc.bulletin board: 0.5801, Acc.shower: 0.2612, Acc.radiator: 0.8985, Acc.glass: 0.2872, Acc.clock: 0.4848, Acc.flag: 0.7881 2023-11-22 01:32:12,064 - mmseg - INFO - Iter [26050/160000] lr: 7.974e-06, eta: 22:00:11, time: 1.101, data_time: 0.544, memory: 38143, decode.loss_cls: 0.5334, decode.loss_mask: 0.6331, decode.loss_dice: 0.9332, decode.d0.loss_cls: 1.7879, decode.d0.loss_mask: 0.6724, decode.d0.loss_dice: 1.0934, decode.d1.loss_cls: 0.6591, decode.d1.loss_mask: 0.6583, decode.d1.loss_dice: 1.0038, decode.d2.loss_cls: 0.5750, decode.d2.loss_mask: 0.6433, decode.d2.loss_dice: 0.9609, decode.d3.loss_cls: 0.5409, decode.d3.loss_mask: 0.6359, decode.d3.loss_dice: 0.9412, decode.d4.loss_cls: 0.5398, decode.d4.loss_mask: 0.6335, decode.d4.loss_dice: 0.9403, decode.d5.loss_cls: 0.5367, decode.d5.loss_mask: 0.6312, decode.d5.loss_dice: 0.9430, decode.d6.loss_cls: 0.5280, decode.d6.loss_mask: 0.6333, decode.d6.loss_dice: 0.9371, decode.d7.loss_cls: 0.5261, decode.d7.loss_mask: 0.6354, decode.d7.loss_dice: 0.9343, decode.d8.loss_cls: 0.5271, decode.d8.loss_mask: 0.6352, decode.d8.loss_dice: 0.9376, loss: 22.7902, grad_norm: 74.0027 2023-11-22 01:32:40,925 - mmseg - INFO - Iter [26100/160000] lr: 7.971e-06, eta: 21:59:38, time: 0.577, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5708, decode.loss_mask: 0.6681, decode.loss_dice: 0.9748, decode.d0.loss_cls: 1.7899, decode.d0.loss_mask: 0.7246, decode.d0.loss_dice: 1.1361, decode.d1.loss_cls: 0.6949, decode.d1.loss_mask: 0.6969, decode.d1.loss_dice: 1.0489, decode.d2.loss_cls: 0.6148, decode.d2.loss_mask: 0.6823, decode.d2.loss_dice: 1.0024, decode.d3.loss_cls: 0.5826, decode.d3.loss_mask: 0.6755, decode.d3.loss_dice: 0.9840, decode.d4.loss_cls: 0.5736, decode.d4.loss_mask: 0.6792, decode.d4.loss_dice: 0.9817, decode.d5.loss_cls: 0.5786, decode.d5.loss_mask: 0.6719, decode.d5.loss_dice: 0.9867, decode.d6.loss_cls: 0.5708, decode.d6.loss_mask: 0.6694, decode.d6.loss_dice: 0.9767, decode.d7.loss_cls: 0.5720, decode.d7.loss_mask: 0.6734, decode.d7.loss_dice: 0.9755, decode.d8.loss_cls: 0.5658, decode.d8.loss_mask: 0.6696, decode.d8.loss_dice: 0.9791, loss: 23.9707, grad_norm: 74.1731 2023-11-22 01:33:09,266 - mmseg - INFO - Iter [26150/160000] lr: 7.968e-06, eta: 21:59:02, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5411, decode.loss_mask: 0.6582, decode.loss_dice: 0.9488, decode.d0.loss_cls: 1.7824, decode.d0.loss_mask: 0.6949, decode.d0.loss_dice: 1.1017, decode.d1.loss_cls: 0.6629, decode.d1.loss_mask: 0.6863, decode.d1.loss_dice: 1.0179, decode.d2.loss_cls: 0.5903, decode.d2.loss_mask: 0.6689, decode.d2.loss_dice: 0.9862, decode.d3.loss_cls: 0.5599, decode.d3.loss_mask: 0.6660, decode.d3.loss_dice: 0.9619, decode.d4.loss_cls: 0.5513, decode.d4.loss_mask: 0.6640, decode.d4.loss_dice: 0.9698, decode.d5.loss_cls: 0.5445, decode.d5.loss_mask: 0.6596, decode.d5.loss_dice: 0.9665, decode.d6.loss_cls: 0.5417, decode.d6.loss_mask: 0.6617, decode.d6.loss_dice: 0.9594, decode.d7.loss_cls: 0.5385, decode.d7.loss_mask: 0.6559, decode.d7.loss_dice: 0.9535, decode.d8.loss_cls: 0.5418, decode.d8.loss_mask: 0.6568, decode.d8.loss_dice: 0.9506, loss: 23.3430, grad_norm: 79.2233 2023-11-22 01:33:37,651 - mmseg - INFO - Iter [26200/160000] lr: 7.965e-06, eta: 21:58:26, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5797, decode.loss_mask: 0.6596, decode.loss_dice: 0.9515, decode.d0.loss_cls: 1.8430, decode.d0.loss_mask: 0.6972, decode.d0.loss_dice: 1.1228, decode.d1.loss_cls: 0.6949, decode.d1.loss_mask: 0.6866, decode.d1.loss_dice: 1.0274, decode.d2.loss_cls: 0.6288, decode.d2.loss_mask: 0.6702, decode.d2.loss_dice: 0.9831, decode.d3.loss_cls: 0.5972, decode.d3.loss_mask: 0.6645, decode.d3.loss_dice: 0.9649, decode.d4.loss_cls: 0.5916, decode.d4.loss_mask: 0.6658, decode.d4.loss_dice: 0.9584, decode.d5.loss_cls: 0.5829, decode.d5.loss_mask: 0.6625, decode.d5.loss_dice: 0.9620, decode.d6.loss_cls: 0.5816, decode.d6.loss_mask: 0.6602, decode.d6.loss_dice: 0.9536, decode.d7.loss_cls: 0.5753, decode.d7.loss_mask: 0.6607, decode.d7.loss_dice: 0.9489, decode.d8.loss_cls: 0.5767, decode.d8.loss_mask: 0.6589, decode.d8.loss_dice: 0.9492, loss: 23.7598, grad_norm: 77.6402 2023-11-22 01:34:05,914 - mmseg - INFO - Iter [26250/160000] lr: 7.962e-06, eta: 21:57:50, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5440, decode.loss_mask: 0.6758, decode.loss_dice: 0.9553, decode.d0.loss_cls: 1.8425, decode.d0.loss_mask: 0.7113, decode.d0.loss_dice: 1.1264, decode.d1.loss_cls: 0.6864, decode.d1.loss_mask: 0.6999, decode.d1.loss_dice: 1.0208, decode.d2.loss_cls: 0.6037, decode.d2.loss_mask: 0.6884, decode.d2.loss_dice: 0.9787, decode.d3.loss_cls: 0.5691, decode.d3.loss_mask: 0.6790, decode.d3.loss_dice: 0.9634, decode.d4.loss_cls: 0.5617, decode.d4.loss_mask: 0.6784, decode.d4.loss_dice: 0.9637, decode.d5.loss_cls: 0.5602, decode.d5.loss_mask: 0.6759, decode.d5.loss_dice: 0.9652, decode.d6.loss_cls: 0.5507, decode.d6.loss_mask: 0.6761, decode.d6.loss_dice: 0.9538, decode.d7.loss_cls: 0.5503, decode.d7.loss_mask: 0.6752, decode.d7.loss_dice: 0.9497, decode.d8.loss_cls: 0.5465, decode.d8.loss_mask: 0.6791, decode.d8.loss_dice: 0.9587, loss: 23.6902, grad_norm: 72.7337 2023-11-22 01:34:34,478 - mmseg - INFO - Iter [26300/160000] lr: 7.959e-06, eta: 21:57:16, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5424, decode.loss_mask: 0.6485, decode.loss_dice: 0.9598, decode.d0.loss_cls: 1.8229, decode.d0.loss_mask: 0.6752, decode.d0.loss_dice: 1.1282, decode.d1.loss_cls: 0.6695, decode.d1.loss_mask: 0.6702, decode.d1.loss_dice: 1.0368, decode.d2.loss_cls: 0.5840, decode.d2.loss_mask: 0.6557, decode.d2.loss_dice: 0.9957, decode.d3.loss_cls: 0.5591, decode.d3.loss_mask: 0.6524, decode.d3.loss_dice: 0.9726, decode.d4.loss_cls: 0.5559, decode.d4.loss_mask: 0.6495, decode.d4.loss_dice: 0.9700, decode.d5.loss_cls: 0.5471, decode.d5.loss_mask: 0.6520, decode.d5.loss_dice: 0.9619, decode.d6.loss_cls: 0.5409, decode.d6.loss_mask: 0.6477, decode.d6.loss_dice: 0.9596, decode.d7.loss_cls: 0.5436, decode.d7.loss_mask: 0.6487, decode.d7.loss_dice: 0.9637, decode.d8.loss_cls: 0.5426, decode.d8.loss_mask: 0.6498, decode.d8.loss_dice: 0.9652, loss: 23.3708, grad_norm: 68.3514 2023-11-22 01:35:03,011 - mmseg - INFO - Iter [26350/160000] lr: 7.956e-06, eta: 21:56:40, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5592, decode.loss_mask: 0.6444, decode.loss_dice: 0.9521, decode.d0.loss_cls: 1.7896, decode.d0.loss_mask: 0.6920, decode.d0.loss_dice: 1.1218, decode.d1.loss_cls: 0.6725, decode.d1.loss_mask: 0.6740, decode.d1.loss_dice: 1.0326, decode.d2.loss_cls: 0.6137, decode.d2.loss_mask: 0.6544, decode.d2.loss_dice: 0.9840, decode.d3.loss_cls: 0.5818, decode.d3.loss_mask: 0.6530, decode.d3.loss_dice: 0.9648, decode.d4.loss_cls: 0.5747, decode.d4.loss_mask: 0.6449, decode.d4.loss_dice: 0.9631, decode.d5.loss_cls: 0.5635, decode.d5.loss_mask: 0.6464, decode.d5.loss_dice: 0.9604, decode.d6.loss_cls: 0.5618, decode.d6.loss_mask: 0.6397, decode.d6.loss_dice: 0.9540, decode.d7.loss_cls: 0.5539, decode.d7.loss_mask: 0.6445, decode.d7.loss_dice: 0.9522, decode.d8.loss_cls: 0.5606, decode.d8.loss_mask: 0.6424, decode.d8.loss_dice: 0.9539, loss: 23.4061, grad_norm: 74.5945 2023-11-22 01:35:31,892 - mmseg - INFO - Iter [26400/160000] lr: 7.953e-06, eta: 21:56:08, time: 0.580, data_time: 0.015, memory: 38143, decode.loss_cls: 0.5380, decode.loss_mask: 0.6572, decode.loss_dice: 0.9603, decode.d0.loss_cls: 1.7803, decode.d0.loss_mask: 0.6937, decode.d0.loss_dice: 1.1196, decode.d1.loss_cls: 0.6738, decode.d1.loss_mask: 0.6846, decode.d1.loss_dice: 1.0365, decode.d2.loss_cls: 0.5954, decode.d2.loss_mask: 0.6662, decode.d2.loss_dice: 0.9902, decode.d3.loss_cls: 0.5565, decode.d3.loss_mask: 0.6579, decode.d3.loss_dice: 0.9643, decode.d4.loss_cls: 0.5546, decode.d4.loss_mask: 0.6588, decode.d4.loss_dice: 0.9662, decode.d5.loss_cls: 0.5492, decode.d5.loss_mask: 0.6555, decode.d5.loss_dice: 0.9639, decode.d6.loss_cls: 0.5434, decode.d6.loss_mask: 0.6562, decode.d6.loss_dice: 0.9593, decode.d7.loss_cls: 0.5411, decode.d7.loss_mask: 0.6570, decode.d7.loss_dice: 0.9616, decode.d8.loss_cls: 0.5424, decode.d8.loss_mask: 0.6587, decode.d8.loss_dice: 0.9632, loss: 23.4057, grad_norm: 72.2286 2023-11-22 01:36:00,321 - mmseg - INFO - Iter [26450/160000] lr: 7.950e-06, eta: 21:55:33, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5349, decode.loss_mask: 0.6707, decode.loss_dice: 0.9406, decode.d0.loss_cls: 1.7513, decode.d0.loss_mask: 0.7108, decode.d0.loss_dice: 1.1055, decode.d1.loss_cls: 0.6566, decode.d1.loss_mask: 0.6964, decode.d1.loss_dice: 1.0117, decode.d2.loss_cls: 0.5821, decode.d2.loss_mask: 0.6812, decode.d2.loss_dice: 0.9722, decode.d3.loss_cls: 0.5477, decode.d3.loss_mask: 0.6704, decode.d3.loss_dice: 0.9581, decode.d4.loss_cls: 0.5511, decode.d4.loss_mask: 0.6733, decode.d4.loss_dice: 0.9520, decode.d5.loss_cls: 0.5403, decode.d5.loss_mask: 0.6743, decode.d5.loss_dice: 0.9507, decode.d6.loss_cls: 0.5279, decode.d6.loss_mask: 0.6749, decode.d6.loss_dice: 0.9473, decode.d7.loss_cls: 0.5324, decode.d7.loss_mask: 0.6713, decode.d7.loss_dice: 0.9455, decode.d8.loss_cls: 0.5278, decode.d8.loss_mask: 0.6747, decode.d8.loss_dice: 0.9478, loss: 23.2814, grad_norm: 78.0450 2023-11-22 01:36:28,901 - mmseg - INFO - Iter [26500/160000] lr: 7.947e-06, eta: 21:54:58, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5538, decode.loss_mask: 0.6819, decode.loss_dice: 0.9401, decode.d0.loss_cls: 1.7800, decode.d0.loss_mask: 0.7209, decode.d0.loss_dice: 1.1052, decode.d1.loss_cls: 0.6890, decode.d1.loss_mask: 0.7033, decode.d1.loss_dice: 1.0226, decode.d2.loss_cls: 0.6065, decode.d2.loss_mask: 0.6940, decode.d2.loss_dice: 0.9783, decode.d3.loss_cls: 0.5781, decode.d3.loss_mask: 0.6844, decode.d3.loss_dice: 0.9635, decode.d4.loss_cls: 0.5730, decode.d4.loss_mask: 0.6842, decode.d4.loss_dice: 0.9524, decode.d5.loss_cls: 0.5682, decode.d5.loss_mask: 0.6845, decode.d5.loss_dice: 0.9553, decode.d6.loss_cls: 0.5575, decode.d6.loss_mask: 0.6816, decode.d6.loss_dice: 0.9478, decode.d7.loss_cls: 0.5557, decode.d7.loss_mask: 0.6792, decode.d7.loss_dice: 0.9440, decode.d8.loss_cls: 0.5506, decode.d8.loss_mask: 0.6862, decode.d8.loss_dice: 0.9494, loss: 23.6713, grad_norm: 77.7325 2023-11-22 01:36:59,681 - mmseg - INFO - Iter [26550/160000] lr: 7.944e-06, eta: 21:54:35, time: 0.616, data_time: 0.059, memory: 38143, decode.loss_cls: 0.5168, decode.loss_mask: 0.6411, decode.loss_dice: 0.9337, decode.d0.loss_cls: 1.7444, decode.d0.loss_mask: 0.6752, decode.d0.loss_dice: 1.0848, decode.d1.loss_cls: 0.6415, decode.d1.loss_mask: 0.6652, decode.d1.loss_dice: 0.9867, decode.d2.loss_cls: 0.5635, decode.d2.loss_mask: 0.6480, decode.d2.loss_dice: 0.9584, decode.d3.loss_cls: 0.5423, decode.d3.loss_mask: 0.6431, decode.d3.loss_dice: 0.9369, decode.d4.loss_cls: 0.5283, decode.d4.loss_mask: 0.6429, decode.d4.loss_dice: 0.9427, decode.d5.loss_cls: 0.5231, decode.d5.loss_mask: 0.6429, decode.d5.loss_dice: 0.9371, decode.d6.loss_cls: 0.5163, decode.d6.loss_mask: 0.6386, decode.d6.loss_dice: 0.9293, decode.d7.loss_cls: 0.5189, decode.d7.loss_mask: 0.6395, decode.d7.loss_dice: 0.9321, decode.d8.loss_cls: 0.5100, decode.d8.loss_mask: 0.6403, decode.d8.loss_dice: 0.9332, loss: 22.6566, grad_norm: 76.3732 2023-11-22 01:37:27,996 - mmseg - INFO - Iter [26600/160000] lr: 7.941e-06, eta: 21:53:59, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5296, decode.loss_mask: 0.6521, decode.loss_dice: 0.9669, decode.d0.loss_cls: 1.7865, decode.d0.loss_mask: 0.6935, decode.d0.loss_dice: 1.1352, decode.d1.loss_cls: 0.6729, decode.d1.loss_mask: 0.6804, decode.d1.loss_dice: 1.0443, decode.d2.loss_cls: 0.5909, decode.d2.loss_mask: 0.6646, decode.d2.loss_dice: 1.0055, decode.d3.loss_cls: 0.5609, decode.d3.loss_mask: 0.6588, decode.d3.loss_dice: 0.9783, decode.d4.loss_cls: 0.5467, decode.d4.loss_mask: 0.6548, decode.d4.loss_dice: 0.9787, decode.d5.loss_cls: 0.5400, decode.d5.loss_mask: 0.6543, decode.d5.loss_dice: 0.9737, decode.d6.loss_cls: 0.5339, decode.d6.loss_mask: 0.6498, decode.d6.loss_dice: 0.9635, decode.d7.loss_cls: 0.5319, decode.d7.loss_mask: 0.6469, decode.d7.loss_dice: 0.9686, decode.d8.loss_cls: 0.5280, decode.d8.loss_mask: 0.6503, decode.d8.loss_dice: 0.9711, loss: 23.4125, grad_norm: 72.7056 2023-11-22 01:37:56,490 - mmseg - INFO - Iter [26650/160000] lr: 7.938e-06, eta: 21:53:24, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5268, decode.loss_mask: 0.6291, decode.loss_dice: 0.9279, decode.d0.loss_cls: 1.7872, decode.d0.loss_mask: 0.6619, decode.d0.loss_dice: 1.0881, decode.d1.loss_cls: 0.6641, decode.d1.loss_mask: 0.6499, decode.d1.loss_dice: 1.0064, decode.d2.loss_cls: 0.5736, decode.d2.loss_mask: 0.6394, decode.d2.loss_dice: 0.9656, decode.d3.loss_cls: 0.5494, decode.d3.loss_mask: 0.6339, decode.d3.loss_dice: 0.9426, decode.d4.loss_cls: 0.5436, decode.d4.loss_mask: 0.6323, decode.d4.loss_dice: 0.9464, decode.d5.loss_cls: 0.5317, decode.d5.loss_mask: 0.6283, decode.d5.loss_dice: 0.9391, decode.d6.loss_cls: 0.5281, decode.d6.loss_mask: 0.6264, decode.d6.loss_dice: 0.9309, decode.d7.loss_cls: 0.5229, decode.d7.loss_mask: 0.6299, decode.d7.loss_dice: 0.9325, decode.d8.loss_cls: 0.5218, decode.d8.loss_mask: 0.6290, decode.d8.loss_dice: 0.9350, loss: 22.7238, grad_norm: 72.2126 2023-11-22 01:38:25,197 - mmseg - INFO - Iter [26700/160000] lr: 7.935e-06, eta: 21:52:51, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5361, decode.loss_mask: 0.6573, decode.loss_dice: 0.9378, decode.d0.loss_cls: 1.7337, decode.d0.loss_mask: 0.6988, decode.d0.loss_dice: 1.1076, decode.d1.loss_cls: 0.6514, decode.d1.loss_mask: 0.6831, decode.d1.loss_dice: 1.0095, decode.d2.loss_cls: 0.5832, decode.d2.loss_mask: 0.6681, decode.d2.loss_dice: 0.9667, decode.d3.loss_cls: 0.5620, decode.d3.loss_mask: 0.6588, decode.d3.loss_dice: 0.9393, decode.d4.loss_cls: 0.5584, decode.d4.loss_mask: 0.6559, decode.d4.loss_dice: 0.9396, decode.d5.loss_cls: 0.5502, decode.d5.loss_mask: 0.6560, decode.d5.loss_dice: 0.9352, decode.d6.loss_cls: 0.5405, decode.d6.loss_mask: 0.6559, decode.d6.loss_dice: 0.9332, decode.d7.loss_cls: 0.5427, decode.d7.loss_mask: 0.6561, decode.d7.loss_dice: 0.9347, decode.d8.loss_cls: 0.5395, decode.d8.loss_mask: 0.6574, decode.d8.loss_dice: 0.9332, loss: 23.0820, grad_norm: 73.2430 2023-11-22 01:38:53,598 - mmseg - INFO - Iter [26750/160000] lr: 7.932e-06, eta: 21:52:15, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5327, decode.loss_mask: 0.6348, decode.loss_dice: 0.9343, decode.d0.loss_cls: 1.7765, decode.d0.loss_mask: 0.6794, decode.d0.loss_dice: 1.1005, decode.d1.loss_cls: 0.6571, decode.d1.loss_mask: 0.6666, decode.d1.loss_dice: 1.0010, decode.d2.loss_cls: 0.5761, decode.d2.loss_mask: 0.6496, decode.d2.loss_dice: 0.9640, decode.d3.loss_cls: 0.5528, decode.d3.loss_mask: 0.6383, decode.d3.loss_dice: 0.9406, decode.d4.loss_cls: 0.5489, decode.d4.loss_mask: 0.6368, decode.d4.loss_dice: 0.9402, decode.d5.loss_cls: 0.5411, decode.d5.loss_mask: 0.6360, decode.d5.loss_dice: 0.9364, decode.d6.loss_cls: 0.5394, decode.d6.loss_mask: 0.6342, decode.d6.loss_dice: 0.9294, decode.d7.loss_cls: 0.5374, decode.d7.loss_mask: 0.6325, decode.d7.loss_dice: 0.9335, decode.d8.loss_cls: 0.5405, decode.d8.loss_mask: 0.6332, decode.d8.loss_dice: 0.9316, loss: 22.8556, grad_norm: 72.6928 2023-11-22 01:39:22,221 - mmseg - INFO - Iter [26800/160000] lr: 7.930e-06, eta: 21:51:41, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5316, decode.loss_mask: 0.6563, decode.loss_dice: 0.9531, decode.d0.loss_cls: 1.7795, decode.d0.loss_mask: 0.6963, decode.d0.loss_dice: 1.1105, decode.d1.loss_cls: 0.6508, decode.d1.loss_mask: 0.6873, decode.d1.loss_dice: 1.0173, decode.d2.loss_cls: 0.5735, decode.d2.loss_mask: 0.6666, decode.d2.loss_dice: 0.9784, decode.d3.loss_cls: 0.5460, decode.d3.loss_mask: 0.6609, decode.d3.loss_dice: 0.9564, decode.d4.loss_cls: 0.5407, decode.d4.loss_mask: 0.6577, decode.d4.loss_dice: 0.9554, decode.d5.loss_cls: 0.5382, decode.d5.loss_mask: 0.6556, decode.d5.loss_dice: 0.9551, decode.d6.loss_cls: 0.5245, decode.d6.loss_mask: 0.6561, decode.d6.loss_dice: 0.9501, decode.d7.loss_cls: 0.5248, decode.d7.loss_mask: 0.6605, decode.d7.loss_dice: 0.9516, decode.d8.loss_cls: 0.5247, decode.d8.loss_mask: 0.6595, decode.d8.loss_dice: 0.9516, loss: 23.1706, grad_norm: 70.4812 2023-11-22 01:39:50,526 - mmseg - INFO - Iter [26850/160000] lr: 7.927e-06, eta: 21:51:05, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5418, decode.loss_mask: 0.6656, decode.loss_dice: 0.9427, decode.d0.loss_cls: 1.7541, decode.d0.loss_mask: 0.7036, decode.d0.loss_dice: 1.1221, decode.d1.loss_cls: 0.6722, decode.d1.loss_mask: 0.6950, decode.d1.loss_dice: 1.0185, decode.d2.loss_cls: 0.5875, decode.d2.loss_mask: 0.6756, decode.d2.loss_dice: 0.9784, decode.d3.loss_cls: 0.5582, decode.d3.loss_mask: 0.6662, decode.d3.loss_dice: 0.9606, decode.d4.loss_cls: 0.5560, decode.d4.loss_mask: 0.6672, decode.d4.loss_dice: 0.9554, decode.d5.loss_cls: 0.5526, decode.d5.loss_mask: 0.6645, decode.d5.loss_dice: 0.9485, decode.d6.loss_cls: 0.5458, decode.d6.loss_mask: 0.6636, decode.d6.loss_dice: 0.9433, decode.d7.loss_cls: 0.5386, decode.d7.loss_mask: 0.6641, decode.d7.loss_dice: 0.9472, decode.d8.loss_cls: 0.5418, decode.d8.loss_mask: 0.6628, decode.d8.loss_dice: 0.9491, loss: 23.3426, grad_norm: 71.4840 2023-11-22 01:40:18,813 - mmseg - INFO - Iter [26900/160000] lr: 7.924e-06, eta: 21:50:30, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5544, decode.loss_mask: 0.6688, decode.loss_dice: 0.9415, decode.d0.loss_cls: 1.7790, decode.d0.loss_mask: 0.7009, decode.d0.loss_dice: 1.0909, decode.d1.loss_cls: 0.6775, decode.d1.loss_mask: 0.6905, decode.d1.loss_dice: 1.0042, decode.d2.loss_cls: 0.5970, decode.d2.loss_mask: 0.6744, decode.d2.loss_dice: 0.9631, decode.d3.loss_cls: 0.5736, decode.d3.loss_mask: 0.6648, decode.d3.loss_dice: 0.9490, decode.d4.loss_cls: 0.5626, decode.d4.loss_mask: 0.6647, decode.d4.loss_dice: 0.9474, decode.d5.loss_cls: 0.5655, decode.d5.loss_mask: 0.6630, decode.d5.loss_dice: 0.9418, decode.d6.loss_cls: 0.5566, decode.d6.loss_mask: 0.6627, decode.d6.loss_dice: 0.9325, decode.d7.loss_cls: 0.5530, decode.d7.loss_mask: 0.6652, decode.d7.loss_dice: 0.9389, decode.d8.loss_cls: 0.5559, decode.d8.loss_mask: 0.6676, decode.d8.loss_dice: 0.9370, loss: 23.3442, grad_norm: 76.8429 2023-11-22 01:40:47,331 - mmseg - INFO - Iter [26950/160000] lr: 7.921e-06, eta: 21:49:55, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5402, decode.loss_mask: 0.6728, decode.loss_dice: 0.9596, decode.d0.loss_cls: 1.7828, decode.d0.loss_mask: 0.7099, decode.d0.loss_dice: 1.1231, decode.d1.loss_cls: 0.6794, decode.d1.loss_mask: 0.6946, decode.d1.loss_dice: 1.0443, decode.d2.loss_cls: 0.6030, decode.d2.loss_mask: 0.6832, decode.d2.loss_dice: 0.9890, decode.d3.loss_cls: 0.5672, decode.d3.loss_mask: 0.6760, decode.d3.loss_dice: 0.9685, decode.d4.loss_cls: 0.5562, decode.d4.loss_mask: 0.6766, decode.d4.loss_dice: 0.9644, decode.d5.loss_cls: 0.5575, decode.d5.loss_mask: 0.6759, decode.d5.loss_dice: 0.9646, decode.d6.loss_cls: 0.5540, decode.d6.loss_mask: 0.6672, decode.d6.loss_dice: 0.9520, decode.d7.loss_cls: 0.5457, decode.d7.loss_mask: 0.6690, decode.d7.loss_dice: 0.9615, decode.d8.loss_cls: 0.5399, decode.d8.loss_mask: 0.6725, decode.d8.loss_dice: 0.9591, loss: 23.6098, grad_norm: 73.4172 2023-11-22 01:41:16,109 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 01:41:16,109 - mmseg - INFO - Iter [27000/160000] lr: 7.918e-06, eta: 21:49:22, time: 0.576, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5377, decode.loss_mask: 0.6709, decode.loss_dice: 0.9399, decode.d0.loss_cls: 1.7884, decode.d0.loss_mask: 0.7072, decode.d0.loss_dice: 1.1153, decode.d1.loss_cls: 0.6668, decode.d1.loss_mask: 0.6996, decode.d1.loss_dice: 1.0201, decode.d2.loss_cls: 0.5949, decode.d2.loss_mask: 0.6773, decode.d2.loss_dice: 0.9746, decode.d3.loss_cls: 0.5614, decode.d3.loss_mask: 0.6781, decode.d3.loss_dice: 0.9553, decode.d4.loss_cls: 0.5567, decode.d4.loss_mask: 0.6743, decode.d4.loss_dice: 0.9543, decode.d5.loss_cls: 0.5405, decode.d5.loss_mask: 0.6752, decode.d5.loss_dice: 0.9565, decode.d6.loss_cls: 0.5376, decode.d6.loss_mask: 0.6718, decode.d6.loss_dice: 0.9452, decode.d7.loss_cls: 0.5423, decode.d7.loss_mask: 0.6731, decode.d7.loss_dice: 0.9440, decode.d8.loss_cls: 0.5429, decode.d8.loss_mask: 0.6715, decode.d8.loss_dice: 0.9412, loss: 23.4144, grad_norm: 72.4119 2023-11-22 01:41:44,542 - mmseg - INFO - Iter [27050/160000] lr: 7.915e-06, eta: 21:48:47, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5335, decode.loss_mask: 0.6522, decode.loss_dice: 0.9518, decode.d0.loss_cls: 1.7813, decode.d0.loss_mask: 0.6795, decode.d0.loss_dice: 1.1077, decode.d1.loss_cls: 0.6565, decode.d1.loss_mask: 0.6752, decode.d1.loss_dice: 1.0280, decode.d2.loss_cls: 0.5826, decode.d2.loss_mask: 0.6618, decode.d2.loss_dice: 0.9806, decode.d3.loss_cls: 0.5523, decode.d3.loss_mask: 0.6544, decode.d3.loss_dice: 0.9656, decode.d4.loss_cls: 0.5482, decode.d4.loss_mask: 0.6540, decode.d4.loss_dice: 0.9605, decode.d5.loss_cls: 0.5405, decode.d5.loss_mask: 0.6532, decode.d5.loss_dice: 0.9603, decode.d6.loss_cls: 0.5309, decode.d6.loss_mask: 0.6520, decode.d6.loss_dice: 0.9441, decode.d7.loss_cls: 0.5297, decode.d7.loss_mask: 0.6542, decode.d7.loss_dice: 0.9514, decode.d8.loss_cls: 0.5261, decode.d8.loss_mask: 0.6546, decode.d8.loss_dice: 0.9554, loss: 23.1782, grad_norm: 76.0376 2023-11-22 01:42:13,098 - mmseg - INFO - Iter [27100/160000] lr: 7.912e-06, eta: 21:48:13, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5373, decode.loss_mask: 0.6451, decode.loss_dice: 0.9444, decode.d0.loss_cls: 1.7847, decode.d0.loss_mask: 0.6884, decode.d0.loss_dice: 1.1226, decode.d1.loss_cls: 0.6617, decode.d1.loss_mask: 0.6799, decode.d1.loss_dice: 1.0219, decode.d2.loss_cls: 0.5947, decode.d2.loss_mask: 0.6570, decode.d2.loss_dice: 0.9823, decode.d3.loss_cls: 0.5623, decode.d3.loss_mask: 0.6509, decode.d3.loss_dice: 0.9576, decode.d4.loss_cls: 0.5551, decode.d4.loss_mask: 0.6491, decode.d4.loss_dice: 0.9575, decode.d5.loss_cls: 0.5517, decode.d5.loss_mask: 0.6511, decode.d5.loss_dice: 0.9550, decode.d6.loss_cls: 0.5430, decode.d6.loss_mask: 0.6461, decode.d6.loss_dice: 0.9488, decode.d7.loss_cls: 0.5376, decode.d7.loss_mask: 0.6483, decode.d7.loss_dice: 0.9501, decode.d8.loss_cls: 0.5380, decode.d8.loss_mask: 0.6517, decode.d8.loss_dice: 0.9510, loss: 23.2249, grad_norm: 68.8829 2023-11-22 01:42:41,429 - mmseg - INFO - Iter [27150/160000] lr: 7.909e-06, eta: 21:47:37, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5134, decode.loss_mask: 0.6559, decode.loss_dice: 0.9359, decode.d0.loss_cls: 1.7430, decode.d0.loss_mask: 0.6988, decode.d0.loss_dice: 1.1073, decode.d1.loss_cls: 0.6388, decode.d1.loss_mask: 0.6815, decode.d1.loss_dice: 1.0189, decode.d2.loss_cls: 0.5623, decode.d2.loss_mask: 0.6689, decode.d2.loss_dice: 0.9788, decode.d3.loss_cls: 0.5430, decode.d3.loss_mask: 0.6594, decode.d3.loss_dice: 0.9518, decode.d4.loss_cls: 0.5327, decode.d4.loss_mask: 0.6562, decode.d4.loss_dice: 0.9510, decode.d5.loss_cls: 0.5227, decode.d5.loss_mask: 0.6586, decode.d5.loss_dice: 0.9435, decode.d6.loss_cls: 0.5187, decode.d6.loss_mask: 0.6554, decode.d6.loss_dice: 0.9362, decode.d7.loss_cls: 0.5117, decode.d7.loss_mask: 0.6568, decode.d7.loss_dice: 0.9410, decode.d8.loss_cls: 0.5137, decode.d8.loss_mask: 0.6585, decode.d8.loss_dice: 0.9430, loss: 22.9573, grad_norm: 77.5014 2023-11-22 01:43:09,765 - mmseg - INFO - Iter [27200/160000] lr: 7.906e-06, eta: 21:47:02, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5232, decode.loss_mask: 0.6536, decode.loss_dice: 0.9353, decode.d0.loss_cls: 1.7853, decode.d0.loss_mask: 0.6868, decode.d0.loss_dice: 1.0875, decode.d1.loss_cls: 0.6490, decode.d1.loss_mask: 0.6768, decode.d1.loss_dice: 1.0021, decode.d2.loss_cls: 0.5774, decode.d2.loss_mask: 0.6672, decode.d2.loss_dice: 0.9619, decode.d3.loss_cls: 0.5488, decode.d3.loss_mask: 0.6546, decode.d3.loss_dice: 0.9475, decode.d4.loss_cls: 0.5401, decode.d4.loss_mask: 0.6548, decode.d4.loss_dice: 0.9420, decode.d5.loss_cls: 0.5375, decode.d5.loss_mask: 0.6531, decode.d5.loss_dice: 0.9421, decode.d6.loss_cls: 0.5334, decode.d6.loss_mask: 0.6486, decode.d6.loss_dice: 0.9307, decode.d7.loss_cls: 0.5278, decode.d7.loss_mask: 0.6501, decode.d7.loss_dice: 0.9324, decode.d8.loss_cls: 0.5361, decode.d8.loss_mask: 0.6487, decode.d8.loss_dice: 0.9315, loss: 22.9657, grad_norm: 70.8317 2023-11-22 01:43:38,270 - mmseg - INFO - Iter [27250/160000] lr: 7.903e-06, eta: 21:46:27, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5416, decode.loss_mask: 0.6579, decode.loss_dice: 0.9624, decode.d0.loss_cls: 1.8221, decode.d0.loss_mask: 0.6839, decode.d0.loss_dice: 1.1301, decode.d1.loss_cls: 0.6720, decode.d1.loss_mask: 0.6798, decode.d1.loss_dice: 1.0274, decode.d2.loss_cls: 0.6004, decode.d2.loss_mask: 0.6599, decode.d2.loss_dice: 0.9815, decode.d3.loss_cls: 0.5682, decode.d3.loss_mask: 0.6531, decode.d3.loss_dice: 0.9635, decode.d4.loss_cls: 0.5564, decode.d4.loss_mask: 0.6546, decode.d4.loss_dice: 0.9666, decode.d5.loss_cls: 0.5530, decode.d5.loss_mask: 0.6523, decode.d5.loss_dice: 0.9642, decode.d6.loss_cls: 0.5461, decode.d6.loss_mask: 0.6521, decode.d6.loss_dice: 0.9595, decode.d7.loss_cls: 0.5465, decode.d7.loss_mask: 0.6565, decode.d7.loss_dice: 0.9613, decode.d8.loss_cls: 0.5477, decode.d8.loss_mask: 0.6571, decode.d8.loss_dice: 0.9556, loss: 23.4334, grad_norm: 71.6925 2023-11-22 01:44:07,053 - mmseg - INFO - Iter [27300/160000] lr: 7.900e-06, eta: 21:45:54, time: 0.576, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5609, decode.loss_mask: 0.6673, decode.loss_dice: 0.9785, decode.d0.loss_cls: 1.8019, decode.d0.loss_mask: 0.7140, decode.d0.loss_dice: 1.1396, decode.d1.loss_cls: 0.6889, decode.d1.loss_mask: 0.7017, decode.d1.loss_dice: 1.0512, decode.d2.loss_cls: 0.6106, decode.d2.loss_mask: 0.6803, decode.d2.loss_dice: 1.0092, decode.d3.loss_cls: 0.5774, decode.d3.loss_mask: 0.6775, decode.d3.loss_dice: 0.9913, decode.d4.loss_cls: 0.5750, decode.d4.loss_mask: 0.6740, decode.d4.loss_dice: 0.9901, decode.d5.loss_cls: 0.5742, decode.d5.loss_mask: 0.6715, decode.d5.loss_dice: 0.9884, decode.d6.loss_cls: 0.5637, decode.d6.loss_mask: 0.6718, decode.d6.loss_dice: 0.9790, decode.d7.loss_cls: 0.5569, decode.d7.loss_mask: 0.6747, decode.d7.loss_dice: 0.9852, decode.d8.loss_cls: 0.5609, decode.d8.loss_mask: 0.6706, decode.d8.loss_dice: 0.9781, loss: 23.9642, grad_norm: 76.4728 2023-11-22 01:44:35,482 - mmseg - INFO - Iter [27350/160000] lr: 7.897e-06, eta: 21:45:19, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5257, decode.loss_mask: 0.6622, decode.loss_dice: 0.9294, decode.d0.loss_cls: 1.7137, decode.d0.loss_mask: 0.6919, decode.d0.loss_dice: 1.0944, decode.d1.loss_cls: 0.6540, decode.d1.loss_mask: 0.6825, decode.d1.loss_dice: 0.9963, decode.d2.loss_cls: 0.5661, decode.d2.loss_mask: 0.6698, decode.d2.loss_dice: 0.9622, decode.d3.loss_cls: 0.5380, decode.d3.loss_mask: 0.6644, decode.d3.loss_dice: 0.9467, decode.d4.loss_cls: 0.5337, decode.d4.loss_mask: 0.6604, decode.d4.loss_dice: 0.9432, decode.d5.loss_cls: 0.5321, decode.d5.loss_mask: 0.6607, decode.d5.loss_dice: 0.9409, decode.d6.loss_cls: 0.5276, decode.d6.loss_mask: 0.6597, decode.d6.loss_dice: 0.9340, decode.d7.loss_cls: 0.5259, decode.d7.loss_mask: 0.6565, decode.d7.loss_dice: 0.9379, decode.d8.loss_cls: 0.5241, decode.d8.loss_mask: 0.6575, decode.d8.loss_dice: 0.9290, loss: 22.9205, grad_norm: 73.9159 2023-11-22 01:45:03,896 - mmseg - INFO - Iter [27400/160000] lr: 7.894e-06, eta: 21:44:44, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5447, decode.loss_mask: 0.6504, decode.loss_dice: 0.9500, decode.d0.loss_cls: 1.7915, decode.d0.loss_mask: 0.6859, decode.d0.loss_dice: 1.1009, decode.d1.loss_cls: 0.6721, decode.d1.loss_mask: 0.6792, decode.d1.loss_dice: 1.0230, decode.d2.loss_cls: 0.5858, decode.d2.loss_mask: 0.6610, decode.d2.loss_dice: 0.9709, decode.d3.loss_cls: 0.5668, decode.d3.loss_mask: 0.6539, decode.d3.loss_dice: 0.9489, decode.d4.loss_cls: 0.5596, decode.d4.loss_mask: 0.6467, decode.d4.loss_dice: 0.9486, decode.d5.loss_cls: 0.5458, decode.d5.loss_mask: 0.6541, decode.d5.loss_dice: 0.9555, decode.d6.loss_cls: 0.5448, decode.d6.loss_mask: 0.6464, decode.d6.loss_dice: 0.9458, decode.d7.loss_cls: 0.5449, decode.d7.loss_mask: 0.6488, decode.d7.loss_dice: 0.9482, decode.d8.loss_cls: 0.5396, decode.d8.loss_mask: 0.6516, decode.d8.loss_dice: 0.9509, loss: 23.2161, grad_norm: 72.8946 2023-11-22 01:45:32,243 - mmseg - INFO - Iter [27450/160000] lr: 7.891e-06, eta: 21:44:09, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5393, decode.loss_mask: 0.6520, decode.loss_dice: 0.9440, decode.d0.loss_cls: 1.7810, decode.d0.loss_mask: 0.6960, decode.d0.loss_dice: 1.1168, decode.d1.loss_cls: 0.6728, decode.d1.loss_mask: 0.6767, decode.d1.loss_dice: 1.0302, decode.d2.loss_cls: 0.6006, decode.d2.loss_mask: 0.6579, decode.d2.loss_dice: 0.9838, decode.d3.loss_cls: 0.5714, decode.d3.loss_mask: 0.6513, decode.d3.loss_dice: 0.9582, decode.d4.loss_cls: 0.5603, decode.d4.loss_mask: 0.6528, decode.d4.loss_dice: 0.9586, decode.d5.loss_cls: 0.5552, decode.d5.loss_mask: 0.6541, decode.d5.loss_dice: 0.9617, decode.d6.loss_cls: 0.5418, decode.d6.loss_mask: 0.6541, decode.d6.loss_dice: 0.9471, decode.d7.loss_cls: 0.5408, decode.d7.loss_mask: 0.6549, decode.d7.loss_dice: 0.9492, decode.d8.loss_cls: 0.5363, decode.d8.loss_mask: 0.6550, decode.d8.loss_dice: 0.9489, loss: 23.3030, grad_norm: 76.1647 2023-11-22 01:46:00,634 - mmseg - INFO - Iter [27500/160000] lr: 7.888e-06, eta: 21:43:34, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5396, decode.loss_mask: 0.6258, decode.loss_dice: 0.9337, decode.d0.loss_cls: 1.8011, decode.d0.loss_mask: 0.6681, decode.d0.loss_dice: 1.1101, decode.d1.loss_cls: 0.6605, decode.d1.loss_mask: 0.6613, decode.d1.loss_dice: 1.0084, decode.d2.loss_cls: 0.5821, decode.d2.loss_mask: 0.6408, decode.d2.loss_dice: 0.9664, decode.d3.loss_cls: 0.5513, decode.d3.loss_mask: 0.6330, decode.d3.loss_dice: 0.9528, decode.d4.loss_cls: 0.5485, decode.d4.loss_mask: 0.6329, decode.d4.loss_dice: 0.9492, decode.d5.loss_cls: 0.5441, decode.d5.loss_mask: 0.6266, decode.d5.loss_dice: 0.9423, decode.d6.loss_cls: 0.5404, decode.d6.loss_mask: 0.6279, decode.d6.loss_dice: 0.9346, decode.d7.loss_cls: 0.5301, decode.d7.loss_mask: 0.6302, decode.d7.loss_dice: 0.9381, decode.d8.loss_cls: 0.5331, decode.d8.loss_mask: 0.6289, decode.d8.loss_dice: 0.9373, loss: 22.8790, grad_norm: 69.5098 2023-11-22 01:46:29,364 - mmseg - INFO - Iter [27550/160000] lr: 7.885e-06, eta: 21:43:01, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5494, decode.loss_mask: 0.6850, decode.loss_dice: 0.9654, decode.d0.loss_cls: 1.7847, decode.d0.loss_mask: 0.7154, decode.d0.loss_dice: 1.1220, decode.d1.loss_cls: 0.6653, decode.d1.loss_mask: 0.7085, decode.d1.loss_dice: 1.0305, decode.d2.loss_cls: 0.6043, decode.d2.loss_mask: 0.6862, decode.d2.loss_dice: 0.9894, decode.d3.loss_cls: 0.5688, decode.d3.loss_mask: 0.6860, decode.d3.loss_dice: 0.9711, decode.d4.loss_cls: 0.5601, decode.d4.loss_mask: 0.6846, decode.d4.loss_dice: 0.9714, decode.d5.loss_cls: 0.5532, decode.d5.loss_mask: 0.6818, decode.d5.loss_dice: 0.9730, decode.d6.loss_cls: 0.5472, decode.d6.loss_mask: 0.6831, decode.d6.loss_dice: 0.9631, decode.d7.loss_cls: 0.5406, decode.d7.loss_mask: 0.6827, decode.d7.loss_dice: 0.9687, decode.d8.loss_cls: 0.5398, decode.d8.loss_mask: 0.6828, decode.d8.loss_dice: 0.9672, loss: 23.7315, grad_norm: 76.7175 2023-11-22 01:46:58,154 - mmseg - INFO - Iter [27600/160000] lr: 7.882e-06, eta: 21:42:28, time: 0.578, data_time: 0.016, memory: 38143, decode.loss_cls: 0.5233, decode.loss_mask: 0.6664, decode.loss_dice: 0.9470, decode.d0.loss_cls: 1.7991, decode.d0.loss_mask: 0.7070, decode.d0.loss_dice: 1.1155, decode.d1.loss_cls: 0.6428, decode.d1.loss_mask: 0.6959, decode.d1.loss_dice: 1.0259, decode.d2.loss_cls: 0.5725, decode.d2.loss_mask: 0.6824, decode.d2.loss_dice: 0.9855, decode.d3.loss_cls: 0.5485, decode.d3.loss_mask: 0.6769, decode.d3.loss_dice: 0.9698, decode.d4.loss_cls: 0.5374, decode.d4.loss_mask: 0.6745, decode.d4.loss_dice: 0.9715, decode.d5.loss_cls: 0.5376, decode.d5.loss_mask: 0.6728, decode.d5.loss_dice: 0.9650, decode.d6.loss_cls: 0.5301, decode.d6.loss_mask: 0.6715, decode.d6.loss_dice: 0.9546, decode.d7.loss_cls: 0.5234, decode.d7.loss_mask: 0.6726, decode.d7.loss_dice: 0.9540, decode.d8.loss_cls: 0.5225, decode.d8.loss_mask: 0.6711, decode.d8.loss_dice: 0.9501, loss: 23.3672, grad_norm: 71.9834 2023-11-22 01:47:26,677 - mmseg - INFO - Iter [27650/160000] lr: 7.879e-06, eta: 21:41:54, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5294, decode.loss_mask: 0.6643, decode.loss_dice: 0.9636, decode.d0.loss_cls: 1.7497, decode.d0.loss_mask: 0.7113, decode.d0.loss_dice: 1.1234, decode.d1.loss_cls: 0.6581, decode.d1.loss_mask: 0.7003, decode.d1.loss_dice: 1.0345, decode.d2.loss_cls: 0.5668, decode.d2.loss_mask: 0.6852, decode.d2.loss_dice: 1.0001, decode.d3.loss_cls: 0.5403, decode.d3.loss_mask: 0.6756, decode.d3.loss_dice: 0.9732, decode.d4.loss_cls: 0.5317, decode.d4.loss_mask: 0.6727, decode.d4.loss_dice: 0.9789, decode.d5.loss_cls: 0.5356, decode.d5.loss_mask: 0.6695, decode.d5.loss_dice: 0.9721, decode.d6.loss_cls: 0.5349, decode.d6.loss_mask: 0.6641, decode.d6.loss_dice: 0.9680, decode.d7.loss_cls: 0.5234, decode.d7.loss_mask: 0.6676, decode.d7.loss_dice: 0.9724, decode.d8.loss_cls: 0.5267, decode.d8.loss_mask: 0.6699, decode.d8.loss_dice: 0.9736, loss: 23.4368, grad_norm: 72.2479 2023-11-22 01:47:55,118 - mmseg - INFO - Iter [27700/160000] lr: 7.876e-06, eta: 21:41:19, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5208, decode.loss_mask: 0.6520, decode.loss_dice: 0.9568, decode.d0.loss_cls: 1.7819, decode.d0.loss_mask: 0.6795, decode.d0.loss_dice: 1.1271, decode.d1.loss_cls: 0.6540, decode.d1.loss_mask: 0.6784, decode.d1.loss_dice: 1.0229, decode.d2.loss_cls: 0.5772, decode.d2.loss_mask: 0.6619, decode.d2.loss_dice: 0.9846, decode.d3.loss_cls: 0.5496, decode.d3.loss_mask: 0.6541, decode.d3.loss_dice: 0.9611, decode.d4.loss_cls: 0.5445, decode.d4.loss_mask: 0.6547, decode.d4.loss_dice: 0.9580, decode.d5.loss_cls: 0.5420, decode.d5.loss_mask: 0.6514, decode.d5.loss_dice: 0.9574, decode.d6.loss_cls: 0.5391, decode.d6.loss_mask: 0.6473, decode.d6.loss_dice: 0.9396, decode.d7.loss_cls: 0.5271, decode.d7.loss_mask: 0.6494, decode.d7.loss_dice: 0.9523, decode.d8.loss_cls: 0.5293, decode.d8.loss_mask: 0.6498, decode.d8.loss_dice: 0.9511, loss: 23.1550, grad_norm: 72.2121 2023-11-22 01:48:23,603 - mmseg - INFO - Iter [27750/160000] lr: 7.873e-06, eta: 21:40:45, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5398, decode.loss_mask: 0.6524, decode.loss_dice: 0.9852, decode.d0.loss_cls: 1.7940, decode.d0.loss_mask: 0.6836, decode.d0.loss_dice: 1.1603, decode.d1.loss_cls: 0.6709, decode.d1.loss_mask: 0.6839, decode.d1.loss_dice: 1.0593, decode.d2.loss_cls: 0.6035, decode.d2.loss_mask: 0.6660, decode.d2.loss_dice: 1.0141, decode.d3.loss_cls: 0.5647, decode.d3.loss_mask: 0.6602, decode.d3.loss_dice: 0.9951, decode.d4.loss_cls: 0.5531, decode.d4.loss_mask: 0.6596, decode.d4.loss_dice: 0.9895, decode.d5.loss_cls: 0.5505, decode.d5.loss_mask: 0.6556, decode.d5.loss_dice: 0.9910, decode.d6.loss_cls: 0.5506, decode.d6.loss_mask: 0.6567, decode.d6.loss_dice: 0.9777, decode.d7.loss_cls: 0.5497, decode.d7.loss_mask: 0.6553, decode.d7.loss_dice: 0.9808, decode.d8.loss_cls: 0.5470, decode.d8.loss_mask: 0.6534, decode.d8.loss_dice: 0.9830, loss: 23.6861, grad_norm: 77.1616 2023-11-22 01:48:54,427 - mmseg - INFO - Iter [27800/160000] lr: 7.870e-06, eta: 21:40:22, time: 0.617, data_time: 0.061, memory: 38143, decode.loss_cls: 0.5246, decode.loss_mask: 0.6355, decode.loss_dice: 0.9201, decode.d0.loss_cls: 1.7819, decode.d0.loss_mask: 0.6813, decode.d0.loss_dice: 1.0950, decode.d1.loss_cls: 0.6499, decode.d1.loss_mask: 0.6657, decode.d1.loss_dice: 0.9964, decode.d2.loss_cls: 0.5773, decode.d2.loss_mask: 0.6512, decode.d2.loss_dice: 0.9571, decode.d3.loss_cls: 0.5489, decode.d3.loss_mask: 0.6438, decode.d3.loss_dice: 0.9321, decode.d4.loss_cls: 0.5364, decode.d4.loss_mask: 0.6453, decode.d4.loss_dice: 0.9309, decode.d5.loss_cls: 0.5392, decode.d5.loss_mask: 0.6412, decode.d5.loss_dice: 0.9248, decode.d6.loss_cls: 0.5319, decode.d6.loss_mask: 0.6364, decode.d6.loss_dice: 0.9168, decode.d7.loss_cls: 0.5251, decode.d7.loss_mask: 0.6439, decode.d7.loss_dice: 0.9222, decode.d8.loss_cls: 0.5268, decode.d8.loss_mask: 0.6428, decode.d8.loss_dice: 0.9205, loss: 22.7449, grad_norm: 72.2914 2023-11-22 01:49:23,247 - mmseg - INFO - Iter [27850/160000] lr: 7.867e-06, eta: 21:39:48, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5188, decode.loss_mask: 0.6125, decode.loss_dice: 0.9307, decode.d0.loss_cls: 1.7540, decode.d0.loss_mask: 0.6498, decode.d0.loss_dice: 1.0871, decode.d1.loss_cls: 0.6386, decode.d1.loss_mask: 0.6468, decode.d1.loss_dice: 0.9985, decode.d2.loss_cls: 0.5661, decode.d2.loss_mask: 0.6318, decode.d2.loss_dice: 0.9627, decode.d3.loss_cls: 0.5350, decode.d3.loss_mask: 0.6236, decode.d3.loss_dice: 0.9451, decode.d4.loss_cls: 0.5235, decode.d4.loss_mask: 0.6219, decode.d4.loss_dice: 0.9451, decode.d5.loss_cls: 0.5275, decode.d5.loss_mask: 0.6208, decode.d5.loss_dice: 0.9426, decode.d6.loss_cls: 0.5270, decode.d6.loss_mask: 0.6203, decode.d6.loss_dice: 0.9343, decode.d7.loss_cls: 0.5209, decode.d7.loss_mask: 0.6157, decode.d7.loss_dice: 0.9429, decode.d8.loss_cls: 0.5213, decode.d8.loss_mask: 0.6156, decode.d8.loss_dice: 0.9322, loss: 22.5127, grad_norm: 69.7436 2023-11-22 01:49:52,125 - mmseg - INFO - Iter [27900/160000] lr: 7.864e-06, eta: 21:39:16, time: 0.579, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5169, decode.loss_mask: 0.6319, decode.loss_dice: 0.9334, decode.d0.loss_cls: 1.7747, decode.d0.loss_mask: 0.6653, decode.d0.loss_dice: 1.0947, decode.d1.loss_cls: 0.6313, decode.d1.loss_mask: 0.6571, decode.d1.loss_dice: 1.0038, decode.d2.loss_cls: 0.5575, decode.d2.loss_mask: 0.6410, decode.d2.loss_dice: 0.9608, decode.d3.loss_cls: 0.5291, decode.d3.loss_mask: 0.6347, decode.d3.loss_dice: 0.9406, decode.d4.loss_cls: 0.5218, decode.d4.loss_mask: 0.6357, decode.d4.loss_dice: 0.9451, decode.d5.loss_cls: 0.5165, decode.d5.loss_mask: 0.6282, decode.d5.loss_dice: 0.9358, decode.d6.loss_cls: 0.5138, decode.d6.loss_mask: 0.6326, decode.d6.loss_dice: 0.9316, decode.d7.loss_cls: 0.5077, decode.d7.loss_mask: 0.6342, decode.d7.loss_dice: 0.9357, decode.d8.loss_cls: 0.5169, decode.d8.loss_mask: 0.6329, decode.d8.loss_dice: 0.9324, loss: 22.5932, grad_norm: 75.4603 2023-11-22 01:50:20,670 - mmseg - INFO - Iter [27950/160000] lr: 7.861e-06, eta: 21:38:42, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5166, decode.loss_mask: 0.6293, decode.loss_dice: 0.9162, decode.d0.loss_cls: 1.8249, decode.d0.loss_mask: 0.6655, decode.d0.loss_dice: 1.0838, decode.d1.loss_cls: 0.6490, decode.d1.loss_mask: 0.6587, decode.d1.loss_dice: 0.9919, decode.d2.loss_cls: 0.5657, decode.d2.loss_mask: 0.6435, decode.d2.loss_dice: 0.9519, decode.d3.loss_cls: 0.5303, decode.d3.loss_mask: 0.6381, decode.d3.loss_dice: 0.9346, decode.d4.loss_cls: 0.5241, decode.d4.loss_mask: 0.6321, decode.d4.loss_dice: 0.9337, decode.d5.loss_cls: 0.5174, decode.d5.loss_mask: 0.6297, decode.d5.loss_dice: 0.9260, decode.d6.loss_cls: 0.5138, decode.d6.loss_mask: 0.6324, decode.d6.loss_dice: 0.9168, decode.d7.loss_cls: 0.5133, decode.d7.loss_mask: 0.6298, decode.d7.loss_dice: 0.9219, decode.d8.loss_cls: 0.5151, decode.d8.loss_mask: 0.6339, decode.d8.loss_dice: 0.9201, loss: 22.5598, grad_norm: 72.3747 2023-11-22 01:50:49,155 - mmseg - INFO - Saving checkpoint at 28000 iterations 2023-11-22 01:50:57,671 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 01:50:57,672 - mmseg - INFO - Iter [28000/160000] lr: 7.858e-06, eta: 21:38:48, time: 0.740, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5365, decode.loss_mask: 0.6363, decode.loss_dice: 0.9552, decode.d0.loss_cls: 1.8135, decode.d0.loss_mask: 0.6788, decode.d0.loss_dice: 1.1287, decode.d1.loss_cls: 0.6578, decode.d1.loss_mask: 0.6677, decode.d1.loss_dice: 1.0311, decode.d2.loss_cls: 0.5858, decode.d2.loss_mask: 0.6493, decode.d2.loss_dice: 0.9962, decode.d3.loss_cls: 0.5542, decode.d3.loss_mask: 0.6463, decode.d3.loss_dice: 0.9682, decode.d4.loss_cls: 0.5441, decode.d4.loss_mask: 0.6430, decode.d4.loss_dice: 0.9716, decode.d5.loss_cls: 0.5347, decode.d5.loss_mask: 0.6414, decode.d5.loss_dice: 0.9660, decode.d6.loss_cls: 0.5407, decode.d6.loss_mask: 0.6402, decode.d6.loss_dice: 0.9575, decode.d7.loss_cls: 0.5369, decode.d7.loss_mask: 0.6372, decode.d7.loss_dice: 0.9634, decode.d8.loss_cls: 0.5327, decode.d8.loss_mask: 0.6410, decode.d8.loss_dice: 0.9585, loss: 23.2146, grad_norm: 73.3781 2023-11-22 01:51:17,205 - mmseg - INFO - per class results: 2023-11-22 01:51:17,210 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.13 | 87.1 | | building | 83.4 | 93.2 | | sky | 94.7 | 96.34 | | floor | 84.5 | 90.15 | | tree | 76.23 | 89.33 | | ceiling | 85.72 | 91.99 | | road | 84.62 | 90.28 | | bed | 91.68 | 96.29 | | windowpane | 63.11 | 81.97 | | grass | 72.31 | 82.65 | | cabinet | 61.41 | 77.33 | | sidewalk | 69.15 | 83.34 | | person | 86.27 | 93.54 | | earth | 39.28 | 52.48 | | door | 54.59 | 73.74 | | table | 67.09 | 78.83 | | mountain | 54.29 | 90.04 | | plant | 52.79 | 64.32 | | curtain | 77.4 | 88.86 | | chair | 61.92 | 73.42 | | car | 86.9 | 93.61 | | water | 47.53 | 59.89 | | painting | 70.91 | 91.15 | | sofa | 74.15 | 89.38 | | shelf | 45.42 | 61.44 | | house | 37.19 | 44.53 | | sea | 57.93 | 92.44 | | mirror | 72.13 | 87.16 | | rug | 68.81 | 81.46 | | field | 33.23 | 50.54 | | armchair | 44.33 | 67.03 | | seat | 66.45 | 89.87 | | fence | 51.68 | 67.39 | | desk | 47.84 | 61.4 | | rock | 25.99 | 32.58 | | wardrobe | 50.33 | 80.93 | | lamp | 72.71 | 83.05 | | bathtub | 82.41 | 93.23 | | railing | 41.34 | 66.32 | | cushion | 65.58 | 74.35 | | base | 24.99 | 32.07 | | box | 35.16 | 52.03 | | column | 54.47 | 66.86 | | signboard | 40.05 | 64.12 | | chest of drawers | 40.61 | 58.45 | | counter | 33.97 | 55.23 | | sand | 36.53 | 53.92 | | sink | 77.96 | 85.31 | | skyscraper | 42.65 | 53.01 | | fireplace | 73.63 | 92.68 | | refrigerator | 84.87 | 90.07 | | grandstand | 50.18 | 74.21 | | path | 21.87 | 35.74 | | stairs | 35.7 | 45.64 | | runway | 73.72 | 92.93 | | case | 64.57 | 82.1 | | pool table | 94.14 | 97.36 | | pillow | 61.69 | 76.56 | | screen door | 79.5 | 91.71 | | stairway | 30.05 | 47.85 | | river | 7.72 | 10.22 | | bridge | 76.78 | 86.62 | | bookcase | 29.2 | 42.9 | | blind | 43.52 | 48.93 | | coffee table | 65.9 | 87.98 | | toilet | 89.56 | 92.82 | | flower | 42.3 | 55.66 | | book | 54.63 | 80.88 | | hill | 6.37 | 14.77 | | bench | 62.59 | 75.1 | | countertop | 58.76 | 73.92 | | stove | 80.89 | 85.41 | | palm | 57.71 | 68.48 | | kitchen island | 38.82 | 65.69 | | computer | 79.14 | 90.63 | | swivel chair | 45.62 | 66.84 | | boat | 52.19 | 56.33 | | bar | 22.57 | 23.71 | | arcade machine | 32.17 | 38.38 | | hovel | 43.84 | 48.62 | | bus | 92.91 | 95.5 | | towel | 72.17 | 89.36 | | light | 60.38 | 80.39 | | truck | 37.11 | 60.57 | | tower | 16.44 | 23.09 | | chandelier | 71.32 | 86.33 | | awning | 42.66 | 58.23 | | streetlight | 47.95 | 64.26 | | booth | 37.62 | 37.97 | | television receiver | 81.62 | 92.48 | | airplane | 58.81 | 70.08 | | dirt track | 16.97 | 20.0 | | apparel | 36.97 | 57.05 | | pole | 40.88 | 66.75 | | land | 0.3 | 0.4 | | bannister | 17.83 | 27.4 | | escalator | 11.87 | 12.1 | | ottoman | 57.7 | 79.83 | | bottle | 32.17 | 46.26 | | buffet | 14.87 | 16.82 | | poster | 35.4 | 51.89 | | stage | 15.3 | 31.84 | | van | 43.21 | 66.37 | | ship | 4.15 | 8.95 | | fountain | 19.22 | 21.77 | | conveyer belt | 64.85 | 92.58 | | canopy | 53.06 | 74.28 | | washer | 73.26 | 76.47 | | plaything | 43.45 | 61.91 | | swimming pool | 49.79 | 71.19 | | stool | 50.38 | 67.55 | | barrel | 58.67 | 65.2 | | basket | 41.5 | 59.47 | | waterfall | 58.52 | 89.68 | | tent | 95.88 | 97.93 | | bag | 29.64 | 43.39 | | minibike | 71.99 | 90.18 | | cradle | 86.69 | 98.03 | | oven | 51.46 | 64.02 | | ball | 52.87 | 64.1 | | food | 70.05 | 75.84 | | step | 33.88 | 49.26 | | tank | 37.75 | 47.04 | | trade name | 24.96 | 35.98 | | microwave | 84.98 | 96.88 | | pot | 53.61 | 66.61 | | animal | 77.17 | 79.49 | | bicycle | 61.12 | 82.86 | | lake | 0.0 | 0.0 | | dishwasher | 79.02 | 89.24 | | screen | 40.36 | 91.35 | | blanket | 33.87 | 44.0 | | sculpture | 63.12 | 89.85 | | hood | 68.72 | 72.85 | | sconce | 56.93 | 79.79 | | vase | 49.72 | 80.74 | | traffic light | 45.64 | 71.15 | | tray | 17.93 | 22.97 | | ashcan | 50.27 | 73.05 | | fan | 68.41 | 86.76 | | pier | 38.63 | 39.47 | | crt screen | 4.18 | 4.52 | | plate | 63.19 | 83.04 | | monitor | 1.87 | 2.0 | | bulletin board | 56.71 | 67.51 | | shower | 14.47 | 28.1 | | radiator | 66.59 | 85.91 | | glass | 25.75 | 29.9 | | clock | 33.02 | 46.25 | | flag | 71.27 | 84.41 | +---------------------+-------+-------+ 2023-11-22 01:51:17,210 - mmseg - INFO - Summary: 2023-11-22 01:51:17,210 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 84.3 | 52.47 | 65.95 | +------+-------+-------+ 2023-11-22 01:51:17,211 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 01:51:17,211 - mmseg - INFO - Iter(val) [250] aAcc: 0.8430, mIoU: 0.5247, mAcc: 0.6595, IoU.wall: 0.8013, IoU.building: 0.8340, IoU.sky: 0.9470, IoU.floor: 0.8450, IoU.tree: 0.7623, IoU.ceiling: 0.8572, IoU.road: 0.8462, IoU.bed : 0.9168, IoU.windowpane: 0.6311, IoU.grass: 0.7231, IoU.cabinet: 0.6141, IoU.sidewalk: 0.6915, IoU.person: 0.8627, IoU.earth: 0.3928, IoU.door: 0.5459, IoU.table: 0.6709, IoU.mountain: 0.5429, IoU.plant: 0.5279, IoU.curtain: 0.7740, IoU.chair: 0.6192, IoU.car: 0.8690, IoU.water: 0.4753, IoU.painting: 0.7091, IoU.sofa: 0.7415, IoU.shelf: 0.4542, IoU.house: 0.3719, IoU.sea: 0.5793, IoU.mirror: 0.7213, IoU.rug: 0.6881, IoU.field: 0.3323, IoU.armchair: 0.4433, IoU.seat: 0.6645, IoU.fence: 0.5168, IoU.desk: 0.4784, IoU.rock: 0.2599, IoU.wardrobe: 0.5033, IoU.lamp: 0.7271, IoU.bathtub: 0.8241, IoU.railing: 0.4134, IoU.cushion: 0.6558, IoU.base: 0.2499, IoU.box: 0.3516, IoU.column: 0.5447, IoU.signboard: 0.4005, IoU.chest of drawers: 0.4061, IoU.counter: 0.3397, IoU.sand: 0.3653, IoU.sink: 0.7796, IoU.skyscraper: 0.4265, IoU.fireplace: 0.7363, IoU.refrigerator: 0.8487, IoU.grandstand: 0.5018, IoU.path: 0.2187, IoU.stairs: 0.3570, IoU.runway: 0.7372, IoU.case: 0.6457, IoU.pool table: 0.9414, IoU.pillow: 0.6169, IoU.screen door: 0.7950, IoU.stairway: 0.3005, IoU.river: 0.0772, IoU.bridge: 0.7678, IoU.bookcase: 0.2920, IoU.blind: 0.4352, IoU.coffee table: 0.6590, IoU.toilet: 0.8956, IoU.flower: 0.4230, IoU.book: 0.5463, IoU.hill: 0.0637, IoU.bench: 0.6259, IoU.countertop: 0.5876, IoU.stove: 0.8089, IoU.palm: 0.5771, IoU.kitchen island: 0.3882, IoU.computer: 0.7914, IoU.swivel chair: 0.4562, IoU.boat: 0.5219, IoU.bar: 0.2257, IoU.arcade machine: 0.3217, IoU.hovel: 0.4384, IoU.bus: 0.9291, IoU.towel: 0.7217, IoU.light: 0.6038, IoU.truck: 0.3711, IoU.tower: 0.1644, IoU.chandelier: 0.7132, IoU.awning: 0.4266, IoU.streetlight: 0.4795, IoU.booth: 0.3762, IoU.television receiver: 0.8162, IoU.airplane: 0.5881, IoU.dirt track: 0.1697, IoU.apparel: 0.3697, IoU.pole: 0.4088, IoU.land: 0.0030, IoU.bannister: 0.1783, IoU.escalator: 0.1187, IoU.ottoman: 0.5770, IoU.bottle: 0.3217, IoU.buffet: 0.1487, IoU.poster: 0.3540, IoU.stage: 0.1530, IoU.van: 0.4321, IoU.ship: 0.0415, IoU.fountain: 0.1922, IoU.conveyer belt: 0.6485, IoU.canopy: 0.5306, IoU.washer: 0.7326, IoU.plaything: 0.4345, IoU.swimming pool: 0.4979, IoU.stool: 0.5038, IoU.barrel: 0.5867, IoU.basket: 0.4150, IoU.waterfall: 0.5852, IoU.tent: 0.9588, IoU.bag: 0.2964, IoU.minibike: 0.7199, IoU.cradle: 0.8669, IoU.oven: 0.5146, IoU.ball: 0.5287, IoU.food: 0.7005, IoU.step: 0.3388, IoU.tank: 0.3775, IoU.trade name: 0.2496, IoU.microwave: 0.8498, IoU.pot: 0.5361, IoU.animal: 0.7717, IoU.bicycle: 0.6112, IoU.lake: 0.0000, IoU.dishwasher: 0.7902, IoU.screen: 0.4036, IoU.blanket: 0.3387, IoU.sculpture: 0.6312, IoU.hood: 0.6872, IoU.sconce: 0.5693, IoU.vase: 0.4972, IoU.traffic light: 0.4564, IoU.tray: 0.1793, IoU.ashcan: 0.5027, IoU.fan: 0.6841, IoU.pier: 0.3863, IoU.crt screen: 0.0418, IoU.plate: 0.6319, IoU.monitor: 0.0187, IoU.bulletin board: 0.5671, IoU.shower: 0.1447, IoU.radiator: 0.6659, IoU.glass: 0.2575, IoU.clock: 0.3302, IoU.flag: 0.7127, Acc.wall: 0.8710, Acc.building: 0.9320, Acc.sky: 0.9634, Acc.floor: 0.9015, Acc.tree: 0.8933, Acc.ceiling: 0.9199, Acc.road: 0.9028, Acc.bed : 0.9629, Acc.windowpane: 0.8197, Acc.grass: 0.8265, Acc.cabinet: 0.7733, Acc.sidewalk: 0.8334, Acc.person: 0.9354, Acc.earth: 0.5248, Acc.door: 0.7374, Acc.table: 0.7883, Acc.mountain: 0.9004, Acc.plant: 0.6432, Acc.curtain: 0.8886, Acc.chair: 0.7342, Acc.car: 0.9361, Acc.water: 0.5989, Acc.painting: 0.9115, Acc.sofa: 0.8938, Acc.shelf: 0.6144, Acc.house: 0.4453, Acc.sea: 0.9244, Acc.mirror: 0.8716, Acc.rug: 0.8146, Acc.field: 0.5054, Acc.armchair: 0.6703, Acc.seat: 0.8987, Acc.fence: 0.6739, Acc.desk: 0.6140, Acc.rock: 0.3258, Acc.wardrobe: 0.8093, Acc.lamp: 0.8305, Acc.bathtub: 0.9323, Acc.railing: 0.6632, Acc.cushion: 0.7435, Acc.base: 0.3207, Acc.box: 0.5203, Acc.column: 0.6686, Acc.signboard: 0.6412, Acc.chest of drawers: 0.5845, Acc.counter: 0.5523, Acc.sand: 0.5392, Acc.sink: 0.8531, Acc.skyscraper: 0.5301, Acc.fireplace: 0.9268, Acc.refrigerator: 0.9007, Acc.grandstand: 0.7421, Acc.path: 0.3574, Acc.stairs: 0.4564, Acc.runway: 0.9293, Acc.case: 0.8210, Acc.pool table: 0.9736, Acc.pillow: 0.7656, Acc.screen door: 0.9171, Acc.stairway: 0.4785, Acc.river: 0.1022, Acc.bridge: 0.8662, Acc.bookcase: 0.4290, Acc.blind: 0.4893, Acc.coffee table: 0.8798, Acc.toilet: 0.9282, Acc.flower: 0.5566, Acc.book: 0.8088, Acc.hill: 0.1477, Acc.bench: 0.7510, Acc.countertop: 0.7392, Acc.stove: 0.8541, Acc.palm: 0.6848, Acc.kitchen island: 0.6569, Acc.computer: 0.9063, Acc.swivel chair: 0.6684, Acc.boat: 0.5633, Acc.bar: 0.2371, Acc.arcade machine: 0.3838, Acc.hovel: 0.4862, Acc.bus: 0.9550, Acc.towel: 0.8936, Acc.light: 0.8039, Acc.truck: 0.6057, Acc.tower: 0.2309, Acc.chandelier: 0.8633, Acc.awning: 0.5823, Acc.streetlight: 0.6426, Acc.booth: 0.3797, Acc.television receiver: 0.9248, Acc.airplane: 0.7008, Acc.dirt track: 0.2000, Acc.apparel: 0.5705, Acc.pole: 0.6675, Acc.land: 0.0040, Acc.bannister: 0.2740, Acc.escalator: 0.1210, Acc.ottoman: 0.7983, Acc.bottle: 0.4626, Acc.buffet: 0.1682, Acc.poster: 0.5189, Acc.stage: 0.3184, Acc.van: 0.6637, Acc.ship: 0.0895, Acc.fountain: 0.2177, Acc.conveyer belt: 0.9258, Acc.canopy: 0.7428, Acc.washer: 0.7647, Acc.plaything: 0.6191, Acc.swimming pool: 0.7119, Acc.stool: 0.6755, Acc.barrel: 0.6520, Acc.basket: 0.5947, Acc.waterfall: 0.8968, Acc.tent: 0.9793, Acc.bag: 0.4339, Acc.minibike: 0.9018, Acc.cradle: 0.9803, Acc.oven: 0.6402, Acc.ball: 0.6410, Acc.food: 0.7584, Acc.step: 0.4926, Acc.tank: 0.4704, Acc.trade name: 0.3598, Acc.microwave: 0.9688, Acc.pot: 0.6661, Acc.animal: 0.7949, Acc.bicycle: 0.8286, Acc.lake: 0.0000, Acc.dishwasher: 0.8924, Acc.screen: 0.9135, Acc.blanket: 0.4400, Acc.sculpture: 0.8985, Acc.hood: 0.7285, Acc.sconce: 0.7979, Acc.vase: 0.8074, Acc.traffic light: 0.7115, Acc.tray: 0.2297, Acc.ashcan: 0.7305, Acc.fan: 0.8676, Acc.pier: 0.3947, Acc.crt screen: 0.0452, Acc.plate: 0.8304, Acc.monitor: 0.0200, Acc.bulletin board: 0.6751, Acc.shower: 0.2810, Acc.radiator: 0.8591, Acc.glass: 0.2990, Acc.clock: 0.4625, Acc.flag: 0.8441 2023-11-22 01:51:45,526 - mmseg - INFO - Iter [28050/160000] lr: 7.855e-06, eta: 21:39:45, time: 0.957, data_time: 0.404, memory: 38143, decode.loss_cls: 0.5323, decode.loss_mask: 0.6854, decode.loss_dice: 0.9705, decode.d0.loss_cls: 1.7658, decode.d0.loss_mask: 0.7270, decode.d0.loss_dice: 1.1238, decode.d1.loss_cls: 0.6466, decode.d1.loss_mask: 0.7195, decode.d1.loss_dice: 1.0455, decode.d2.loss_cls: 0.5735, decode.d2.loss_mask: 0.7030, decode.d2.loss_dice: 0.9984, decode.d3.loss_cls: 0.5394, decode.d3.loss_mask: 0.6987, decode.d3.loss_dice: 0.9856, decode.d4.loss_cls: 0.5463, decode.d4.loss_mask: 0.6909, decode.d4.loss_dice: 0.9829, decode.d5.loss_cls: 0.5345, decode.d5.loss_mask: 0.6939, decode.d5.loss_dice: 0.9820, decode.d6.loss_cls: 0.5276, decode.d6.loss_mask: 0.6898, decode.d6.loss_dice: 0.9711, decode.d7.loss_cls: 0.5297, decode.d7.loss_mask: 0.6909, decode.d7.loss_dice: 0.9720, decode.d8.loss_cls: 0.5263, decode.d8.loss_mask: 0.6885, decode.d8.loss_dice: 0.9741, loss: 23.7156, grad_norm: 75.6038 2023-11-22 01:52:14,063 - mmseg - INFO - Iter [28100/160000] lr: 7.852e-06, eta: 21:39:10, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5301, decode.loss_mask: 0.6399, decode.loss_dice: 0.9535, decode.d0.loss_cls: 1.7554, decode.d0.loss_mask: 0.6809, decode.d0.loss_dice: 1.1136, decode.d1.loss_cls: 0.6248, decode.d1.loss_mask: 0.6731, decode.d1.loss_dice: 1.0285, decode.d2.loss_cls: 0.5692, decode.d2.loss_mask: 0.6554, decode.d2.loss_dice: 0.9883, decode.d3.loss_cls: 0.5401, decode.d3.loss_mask: 0.6473, decode.d3.loss_dice: 0.9730, decode.d4.loss_cls: 0.5280, decode.d4.loss_mask: 0.6468, decode.d4.loss_dice: 0.9747, decode.d5.loss_cls: 0.5309, decode.d5.loss_mask: 0.6481, decode.d5.loss_dice: 0.9696, decode.d6.loss_cls: 0.5339, decode.d6.loss_mask: 0.6449, decode.d6.loss_dice: 0.9536, decode.d7.loss_cls: 0.5266, decode.d7.loss_mask: 0.6432, decode.d7.loss_dice: 0.9628, decode.d8.loss_cls: 0.5292, decode.d8.loss_mask: 0.6399, decode.d8.loss_dice: 0.9563, loss: 23.0616, grad_norm: 70.2465 2023-11-22 01:52:42,819 - mmseg - INFO - Iter [28150/160000] lr: 7.849e-06, eta: 21:38:37, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5266, decode.loss_mask: 0.6181, decode.loss_dice: 0.9174, decode.d0.loss_cls: 1.7607, decode.d0.loss_mask: 0.6506, decode.d0.loss_dice: 1.0671, decode.d1.loss_cls: 0.6395, decode.d1.loss_mask: 0.6425, decode.d1.loss_dice: 0.9734, decode.d2.loss_cls: 0.5702, decode.d2.loss_mask: 0.6296, decode.d2.loss_dice: 0.9409, decode.d3.loss_cls: 0.5411, decode.d3.loss_mask: 0.6213, decode.d3.loss_dice: 0.9185, decode.d4.loss_cls: 0.5396, decode.d4.loss_mask: 0.6215, decode.d4.loss_dice: 0.9153, decode.d5.loss_cls: 0.5336, decode.d5.loss_mask: 0.6181, decode.d5.loss_dice: 0.9154, decode.d6.loss_cls: 0.5194, decode.d6.loss_mask: 0.6221, decode.d6.loss_dice: 0.9144, decode.d7.loss_cls: 0.5150, decode.d7.loss_mask: 0.6166, decode.d7.loss_dice: 0.9217, decode.d8.loss_cls: 0.5147, decode.d8.loss_mask: 0.6209, decode.d8.loss_dice: 0.9158, loss: 22.3217, grad_norm: 69.2411 2023-11-22 01:53:11,186 - mmseg - INFO - Iter [28200/160000] lr: 7.846e-06, eta: 21:38:02, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5310, decode.loss_mask: 0.6526, decode.loss_dice: 0.9597, decode.d0.loss_cls: 1.7366, decode.d0.loss_mask: 0.6893, decode.d0.loss_dice: 1.1146, decode.d1.loss_cls: 0.6439, decode.d1.loss_mask: 0.6796, decode.d1.loss_dice: 1.0266, decode.d2.loss_cls: 0.5730, decode.d2.loss_mask: 0.6651, decode.d2.loss_dice: 0.9845, decode.d3.loss_cls: 0.5395, decode.d3.loss_mask: 0.6596, decode.d3.loss_dice: 0.9713, decode.d4.loss_cls: 0.5376, decode.d4.loss_mask: 0.6544, decode.d4.loss_dice: 0.9708, decode.d5.loss_cls: 0.5305, decode.d5.loss_mask: 0.6537, decode.d5.loss_dice: 0.9666, decode.d6.loss_cls: 0.5292, decode.d6.loss_mask: 0.6531, decode.d6.loss_dice: 0.9573, decode.d7.loss_cls: 0.5329, decode.d7.loss_mask: 0.6554, decode.d7.loss_dice: 0.9519, decode.d8.loss_cls: 0.5268, decode.d8.loss_mask: 0.6542, decode.d8.loss_dice: 0.9583, loss: 23.1596, grad_norm: 70.6736 2023-11-22 01:53:39,643 - mmseg - INFO - Iter [28250/160000] lr: 7.843e-06, eta: 21:37:28, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5004, decode.loss_mask: 0.6810, decode.loss_dice: 0.9376, decode.d0.loss_cls: 1.7172, decode.d0.loss_mask: 0.7148, decode.d0.loss_dice: 1.0925, decode.d1.loss_cls: 0.6204, decode.d1.loss_mask: 0.7055, decode.d1.loss_dice: 1.0098, decode.d2.loss_cls: 0.5493, decode.d2.loss_mask: 0.6889, decode.d2.loss_dice: 0.9691, decode.d3.loss_cls: 0.5227, decode.d3.loss_mask: 0.6841, decode.d3.loss_dice: 0.9469, decode.d4.loss_cls: 0.5140, decode.d4.loss_mask: 0.6832, decode.d4.loss_dice: 0.9510, decode.d5.loss_cls: 0.5096, decode.d5.loss_mask: 0.6811, decode.d5.loss_dice: 0.9426, decode.d6.loss_cls: 0.5081, decode.d6.loss_mask: 0.6810, decode.d6.loss_dice: 0.9359, decode.d7.loss_cls: 0.5027, decode.d7.loss_mask: 0.6834, decode.d7.loss_dice: 0.9442, decode.d8.loss_cls: 0.4963, decode.d8.loss_mask: 0.6870, decode.d8.loss_dice: 0.9435, loss: 23.0039, grad_norm: 81.6580 2023-11-22 01:54:08,065 - mmseg - INFO - Iter [28300/160000] lr: 7.840e-06, eta: 21:36:53, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5093, decode.loss_mask: 0.6290, decode.loss_dice: 0.9141, decode.d0.loss_cls: 1.7515, decode.d0.loss_mask: 0.6658, decode.d0.loss_dice: 1.0667, decode.d1.loss_cls: 0.6384, decode.d1.loss_mask: 0.6578, decode.d1.loss_dice: 0.9797, decode.d2.loss_cls: 0.5499, decode.d2.loss_mask: 0.6415, decode.d2.loss_dice: 0.9460, decode.d3.loss_cls: 0.5346, decode.d3.loss_mask: 0.6352, decode.d3.loss_dice: 0.9194, decode.d4.loss_cls: 0.5210, decode.d4.loss_mask: 0.6331, decode.d4.loss_dice: 0.9227, decode.d5.loss_cls: 0.5112, decode.d5.loss_mask: 0.6316, decode.d5.loss_dice: 0.9222, decode.d6.loss_cls: 0.5090, decode.d6.loss_mask: 0.6283, decode.d6.loss_dice: 0.9117, decode.d7.loss_cls: 0.5036, decode.d7.loss_mask: 0.6285, decode.d7.loss_dice: 0.9136, decode.d8.loss_cls: 0.5013, decode.d8.loss_mask: 0.6309, decode.d8.loss_dice: 0.9140, loss: 22.3217, grad_norm: 70.3588 2023-11-22 01:54:36,400 - mmseg - INFO - Iter [28350/160000] lr: 7.837e-06, eta: 21:36:18, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5220, decode.loss_mask: 0.6581, decode.loss_dice: 0.9471, decode.d0.loss_cls: 1.7162, decode.d0.loss_mask: 0.7007, decode.d0.loss_dice: 1.1059, decode.d1.loss_cls: 0.6358, decode.d1.loss_mask: 0.6865, decode.d1.loss_dice: 1.0114, decode.d2.loss_cls: 0.5666, decode.d2.loss_mask: 0.6731, decode.d2.loss_dice: 0.9738, decode.d3.loss_cls: 0.5452, decode.d3.loss_mask: 0.6632, decode.d3.loss_dice: 0.9526, decode.d4.loss_cls: 0.5335, decode.d4.loss_mask: 0.6634, decode.d4.loss_dice: 0.9535, decode.d5.loss_cls: 0.5349, decode.d5.loss_mask: 0.6572, decode.d5.loss_dice: 0.9481, decode.d6.loss_cls: 0.5268, decode.d6.loss_mask: 0.6584, decode.d6.loss_dice: 0.9442, decode.d7.loss_cls: 0.5222, decode.d7.loss_mask: 0.6533, decode.d7.loss_dice: 0.9477, decode.d8.loss_cls: 0.5255, decode.d8.loss_mask: 0.6566, decode.d8.loss_dice: 0.9396, loss: 23.0231, grad_norm: 73.7081 2023-11-22 01:55:04,893 - mmseg - INFO - Iter [28400/160000] lr: 7.834e-06, eta: 21:35:43, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5137, decode.loss_mask: 0.6445, decode.loss_dice: 0.9322, decode.d0.loss_cls: 1.7481, decode.d0.loss_mask: 0.6783, decode.d0.loss_dice: 1.0892, decode.d1.loss_cls: 0.6234, decode.d1.loss_mask: 0.6645, decode.d1.loss_dice: 1.0058, decode.d2.loss_cls: 0.5566, decode.d2.loss_mask: 0.6532, decode.d2.loss_dice: 0.9631, decode.d3.loss_cls: 0.5364, decode.d3.loss_mask: 0.6473, decode.d3.loss_dice: 0.9422, decode.d4.loss_cls: 0.5290, decode.d4.loss_mask: 0.6489, decode.d4.loss_dice: 0.9400, decode.d5.loss_cls: 0.5210, decode.d5.loss_mask: 0.6528, decode.d5.loss_dice: 0.9369, decode.d6.loss_cls: 0.5211, decode.d6.loss_mask: 0.6451, decode.d6.loss_dice: 0.9349, decode.d7.loss_cls: 0.5132, decode.d7.loss_mask: 0.6479, decode.d7.loss_dice: 0.9384, decode.d8.loss_cls: 0.5156, decode.d8.loss_mask: 0.6477, decode.d8.loss_dice: 0.9391, loss: 22.7302, grad_norm: 74.0917 2023-11-22 01:55:33,644 - mmseg - INFO - Iter [28450/160000] lr: 7.831e-06, eta: 21:35:10, time: 0.575, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5411, decode.loss_mask: 0.6604, decode.loss_dice: 0.9424, decode.d0.loss_cls: 1.7606, decode.d0.loss_mask: 0.6983, decode.d0.loss_dice: 1.0907, decode.d1.loss_cls: 0.6538, decode.d1.loss_mask: 0.6924, decode.d1.loss_dice: 1.0083, decode.d2.loss_cls: 0.5858, decode.d2.loss_mask: 0.6775, decode.d2.loss_dice: 0.9791, decode.d3.loss_cls: 0.5704, decode.d3.loss_mask: 0.6678, decode.d3.loss_dice: 0.9530, decode.d4.loss_cls: 0.5551, decode.d4.loss_mask: 0.6687, decode.d4.loss_dice: 0.9591, decode.d5.loss_cls: 0.5446, decode.d5.loss_mask: 0.6668, decode.d5.loss_dice: 0.9563, decode.d6.loss_cls: 0.5438, decode.d6.loss_mask: 0.6674, decode.d6.loss_dice: 0.9411, decode.d7.loss_cls: 0.5461, decode.d7.loss_mask: 0.6676, decode.d7.loss_dice: 0.9460, decode.d8.loss_cls: 0.5486, decode.d8.loss_mask: 0.6645, decode.d8.loss_dice: 0.9425, loss: 23.2994, grad_norm: 78.6520 2023-11-22 01:56:01,979 - mmseg - INFO - Iter [28500/160000] lr: 7.828e-06, eta: 21:34:35, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5346, decode.loss_mask: 0.6578, decode.loss_dice: 0.9287, decode.d0.loss_cls: 1.7612, decode.d0.loss_mask: 0.6973, decode.d0.loss_dice: 1.0975, decode.d1.loss_cls: 0.6491, decode.d1.loss_mask: 0.6825, decode.d1.loss_dice: 0.9971, decode.d2.loss_cls: 0.5791, decode.d2.loss_mask: 0.6725, decode.d2.loss_dice: 0.9643, decode.d3.loss_cls: 0.5547, decode.d3.loss_mask: 0.6640, decode.d3.loss_dice: 0.9402, decode.d4.loss_cls: 0.5462, decode.d4.loss_mask: 0.6633, decode.d4.loss_dice: 0.9400, decode.d5.loss_cls: 0.5411, decode.d5.loss_mask: 0.6619, decode.d5.loss_dice: 0.9384, decode.d6.loss_cls: 0.5310, decode.d6.loss_mask: 0.6586, decode.d6.loss_dice: 0.9344, decode.d7.loss_cls: 0.5342, decode.d7.loss_mask: 0.6534, decode.d7.loss_dice: 0.9343, decode.d8.loss_cls: 0.5313, decode.d8.loss_mask: 0.6553, decode.d8.loss_dice: 0.9324, loss: 23.0366, grad_norm: 73.7661 2023-11-22 01:56:30,575 - mmseg - INFO - Iter [28550/160000] lr: 7.825e-06, eta: 21:34:01, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5518, decode.loss_mask: 0.6652, decode.loss_dice: 0.9521, decode.d0.loss_cls: 1.7806, decode.d0.loss_mask: 0.7054, decode.d0.loss_dice: 1.1094, decode.d1.loss_cls: 0.6639, decode.d1.loss_mask: 0.6944, decode.d1.loss_dice: 1.0292, decode.d2.loss_cls: 0.5891, decode.d2.loss_mask: 0.6760, decode.d2.loss_dice: 0.9891, decode.d3.loss_cls: 0.5718, decode.d3.loss_mask: 0.6728, decode.d3.loss_dice: 0.9638, decode.d4.loss_cls: 0.5629, decode.d4.loss_mask: 0.6727, decode.d4.loss_dice: 0.9694, decode.d5.loss_cls: 0.5546, decode.d5.loss_mask: 0.6733, decode.d5.loss_dice: 0.9608, decode.d6.loss_cls: 0.5510, decode.d6.loss_mask: 0.6697, decode.d6.loss_dice: 0.9552, decode.d7.loss_cls: 0.5523, decode.d7.loss_mask: 0.6692, decode.d7.loss_dice: 0.9544, decode.d8.loss_cls: 0.5499, decode.d8.loss_mask: 0.6686, decode.d8.loss_dice: 0.9602, loss: 23.5387, grad_norm: 75.3308 2023-11-22 01:56:58,998 - mmseg - INFO - Iter [28600/160000] lr: 7.822e-06, eta: 21:33:26, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5293, decode.loss_mask: 0.6304, decode.loss_dice: 0.9406, decode.d0.loss_cls: 1.7736, decode.d0.loss_mask: 0.6762, decode.d0.loss_dice: 1.1044, decode.d1.loss_cls: 0.6561, decode.d1.loss_mask: 0.6556, decode.d1.loss_dice: 1.0116, decode.d2.loss_cls: 0.5766, decode.d2.loss_mask: 0.6432, decode.d2.loss_dice: 0.9668, decode.d3.loss_cls: 0.5545, decode.d3.loss_mask: 0.6371, decode.d3.loss_dice: 0.9420, decode.d4.loss_cls: 0.5471, decode.d4.loss_mask: 0.6373, decode.d4.loss_dice: 0.9449, decode.d5.loss_cls: 0.5339, decode.d5.loss_mask: 0.6336, decode.d5.loss_dice: 0.9453, decode.d6.loss_cls: 0.5330, decode.d6.loss_mask: 0.6331, decode.d6.loss_dice: 0.9382, decode.d7.loss_cls: 0.5334, decode.d7.loss_mask: 0.6333, decode.d7.loss_dice: 0.9387, decode.d8.loss_cls: 0.5294, decode.d8.loss_mask: 0.6291, decode.d8.loss_dice: 0.9414, loss: 22.8496, grad_norm: 70.8587 2023-11-22 01:57:27,499 - mmseg - INFO - Iter [28650/160000] lr: 7.819e-06, eta: 21:32:52, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5266, decode.loss_mask: 0.6411, decode.loss_dice: 0.9585, decode.d0.loss_cls: 1.7760, decode.d0.loss_mask: 0.6842, decode.d0.loss_dice: 1.1174, decode.d1.loss_cls: 0.6492, decode.d1.loss_mask: 0.6643, decode.d1.loss_dice: 1.0160, decode.d2.loss_cls: 0.5786, decode.d2.loss_mask: 0.6493, decode.d2.loss_dice: 0.9915, decode.d3.loss_cls: 0.5509, decode.d3.loss_mask: 0.6440, decode.d3.loss_dice: 0.9657, decode.d4.loss_cls: 0.5379, decode.d4.loss_mask: 0.6433, decode.d4.loss_dice: 0.9619, decode.d5.loss_cls: 0.5293, decode.d5.loss_mask: 0.6416, decode.d5.loss_dice: 0.9607, decode.d6.loss_cls: 0.5285, decode.d6.loss_mask: 0.6413, decode.d6.loss_dice: 0.9541, decode.d7.loss_cls: 0.5205, decode.d7.loss_mask: 0.6424, decode.d7.loss_dice: 0.9592, decode.d8.loss_cls: 0.5243, decode.d8.loss_mask: 0.6441, decode.d8.loss_dice: 0.9592, loss: 23.0615, grad_norm: 77.2613 2023-11-22 01:57:55,908 - mmseg - INFO - Iter [28700/160000] lr: 7.816e-06, eta: 21:32:18, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4751, decode.loss_mask: 0.6542, decode.loss_dice: 0.9370, decode.d0.loss_cls: 1.6903, decode.d0.loss_mask: 0.6846, decode.d0.loss_dice: 1.0978, decode.d1.loss_cls: 0.5978, decode.d1.loss_mask: 0.6763, decode.d1.loss_dice: 1.0149, decode.d2.loss_cls: 0.5171, decode.d2.loss_mask: 0.6571, decode.d2.loss_dice: 0.9768, decode.d3.loss_cls: 0.4964, decode.d3.loss_mask: 0.6556, decode.d3.loss_dice: 0.9499, decode.d4.loss_cls: 0.4829, decode.d4.loss_mask: 0.6465, decode.d4.loss_dice: 0.9481, decode.d5.loss_cls: 0.4729, decode.d5.loss_mask: 0.6463, decode.d5.loss_dice: 0.9444, decode.d6.loss_cls: 0.4771, decode.d6.loss_mask: 0.6470, decode.d6.loss_dice: 0.9381, decode.d7.loss_cls: 0.4726, decode.d7.loss_mask: 0.6474, decode.d7.loss_dice: 0.9447, decode.d8.loss_cls: 0.4762, decode.d8.loss_mask: 0.6509, decode.d8.loss_dice: 0.9450, loss: 22.4214, grad_norm: 76.9394 2023-11-22 01:58:24,755 - mmseg - INFO - Iter [28750/160000] lr: 7.813e-06, eta: 21:31:45, time: 0.577, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5482, decode.loss_mask: 0.6773, decode.loss_dice: 0.9772, decode.d0.loss_cls: 1.8007, decode.d0.loss_mask: 0.7101, decode.d0.loss_dice: 1.1348, decode.d1.loss_cls: 0.6704, decode.d1.loss_mask: 0.7046, decode.d1.loss_dice: 1.0479, decode.d2.loss_cls: 0.5925, decode.d2.loss_mask: 0.6801, decode.d2.loss_dice: 1.0058, decode.d3.loss_cls: 0.5662, decode.d3.loss_mask: 0.6807, decode.d3.loss_dice: 0.9870, decode.d4.loss_cls: 0.5595, decode.d4.loss_mask: 0.6766, decode.d4.loss_dice: 0.9828, decode.d5.loss_cls: 0.5568, decode.d5.loss_mask: 0.6792, decode.d5.loss_dice: 0.9868, decode.d6.loss_cls: 0.5480, decode.d6.loss_mask: 0.6769, decode.d6.loss_dice: 0.9771, decode.d7.loss_cls: 0.5464, decode.d7.loss_mask: 0.6800, decode.d7.loss_dice: 0.9791, decode.d8.loss_cls: 0.5480, decode.d8.loss_mask: 0.6762, decode.d8.loss_dice: 0.9729, loss: 23.8300, grad_norm: 75.4447 2023-11-22 01:58:53,151 - mmseg - INFO - Iter [28800/160000] lr: 7.810e-06, eta: 21:31:10, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5068, decode.loss_mask: 0.6361, decode.loss_dice: 0.9281, decode.d0.loss_cls: 1.7447, decode.d0.loss_mask: 0.6760, decode.d0.loss_dice: 1.0920, decode.d1.loss_cls: 0.6350, decode.d1.loss_mask: 0.6645, decode.d1.loss_dice: 1.0075, decode.d2.loss_cls: 0.5594, decode.d2.loss_mask: 0.6500, decode.d2.loss_dice: 0.9604, decode.d3.loss_cls: 0.5438, decode.d3.loss_mask: 0.6356, decode.d3.loss_dice: 0.9414, decode.d4.loss_cls: 0.5332, decode.d4.loss_mask: 0.6351, decode.d4.loss_dice: 0.9332, decode.d5.loss_cls: 0.5228, decode.d5.loss_mask: 0.6388, decode.d5.loss_dice: 0.9314, decode.d6.loss_cls: 0.5182, decode.d6.loss_mask: 0.6340, decode.d6.loss_dice: 0.9332, decode.d7.loss_cls: 0.5148, decode.d7.loss_mask: 0.6328, decode.d7.loss_dice: 0.9294, decode.d8.loss_cls: 0.5162, decode.d8.loss_mask: 0.6374, decode.d8.loss_dice: 0.9319, loss: 22.6237, grad_norm: 74.6695 2023-11-22 01:59:21,703 - mmseg - INFO - Iter [28850/160000] lr: 7.807e-06, eta: 21:30:36, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5578, decode.loss_mask: 0.6430, decode.loss_dice: 0.9609, decode.d0.loss_cls: 1.8543, decode.d0.loss_mask: 0.6792, decode.d0.loss_dice: 1.1301, decode.d1.loss_cls: 0.6803, decode.d1.loss_mask: 0.6735, decode.d1.loss_dice: 1.0377, decode.d2.loss_cls: 0.6077, decode.d2.loss_mask: 0.6533, decode.d2.loss_dice: 0.9940, decode.d3.loss_cls: 0.5777, decode.d3.loss_mask: 0.6465, decode.d3.loss_dice: 0.9736, decode.d4.loss_cls: 0.5732, decode.d4.loss_mask: 0.6446, decode.d4.loss_dice: 0.9734, decode.d5.loss_cls: 0.5699, decode.d5.loss_mask: 0.6433, decode.d5.loss_dice: 0.9759, decode.d6.loss_cls: 0.5617, decode.d6.loss_mask: 0.6440, decode.d6.loss_dice: 0.9714, decode.d7.loss_cls: 0.5568, decode.d7.loss_mask: 0.6449, decode.d7.loss_dice: 0.9746, decode.d8.loss_cls: 0.5630, decode.d8.loss_mask: 0.6415, decode.d8.loss_dice: 0.9698, loss: 23.5776, grad_norm: 71.2383 2023-11-22 01:59:50,131 - mmseg - INFO - Iter [28900/160000] lr: 7.804e-06, eta: 21:30:02, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5302, decode.loss_mask: 0.6614, decode.loss_dice: 0.9614, decode.d0.loss_cls: 1.7594, decode.d0.loss_mask: 0.7039, decode.d0.loss_dice: 1.1125, decode.d1.loss_cls: 0.6448, decode.d1.loss_mask: 0.6837, decode.d1.loss_dice: 1.0187, decode.d2.loss_cls: 0.5741, decode.d2.loss_mask: 0.6736, decode.d2.loss_dice: 0.9853, decode.d3.loss_cls: 0.5513, decode.d3.loss_mask: 0.6668, decode.d3.loss_dice: 0.9658, decode.d4.loss_cls: 0.5480, decode.d4.loss_mask: 0.6620, decode.d4.loss_dice: 0.9656, decode.d5.loss_cls: 0.5318, decode.d5.loss_mask: 0.6640, decode.d5.loss_dice: 0.9698, decode.d6.loss_cls: 0.5279, decode.d6.loss_mask: 0.6630, decode.d6.loss_dice: 0.9599, decode.d7.loss_cls: 0.5321, decode.d7.loss_mask: 0.6631, decode.d7.loss_dice: 0.9617, decode.d8.loss_cls: 0.5309, decode.d8.loss_mask: 0.6604, decode.d8.loss_dice: 0.9668, loss: 23.2998, grad_norm: 73.0892 2023-11-22 02:00:18,508 - mmseg - INFO - Iter [28950/160000] lr: 7.802e-06, eta: 21:29:27, time: 0.567, data_time: 0.015, memory: 38143, decode.loss_cls: 0.5342, decode.loss_mask: 0.6580, decode.loss_dice: 0.9294, decode.d0.loss_cls: 1.7886, decode.d0.loss_mask: 0.6855, decode.d0.loss_dice: 1.0896, decode.d1.loss_cls: 0.6510, decode.d1.loss_mask: 0.6806, decode.d1.loss_dice: 0.9953, decode.d2.loss_cls: 0.5786, decode.d2.loss_mask: 0.6682, decode.d2.loss_dice: 0.9630, decode.d3.loss_cls: 0.5556, decode.d3.loss_mask: 0.6604, decode.d3.loss_dice: 0.9416, decode.d4.loss_cls: 0.5468, decode.d4.loss_mask: 0.6596, decode.d4.loss_dice: 0.9407, decode.d5.loss_cls: 0.5453, decode.d5.loss_mask: 0.6599, decode.d5.loss_dice: 0.9337, decode.d6.loss_cls: 0.5397, decode.d6.loss_mask: 0.6560, decode.d6.loss_dice: 0.9233, decode.d7.loss_cls: 0.5356, decode.d7.loss_mask: 0.6559, decode.d7.loss_dice: 0.9302, decode.d8.loss_cls: 0.5372, decode.d8.loss_mask: 0.6572, decode.d8.loss_dice: 0.9338, loss: 23.0345, grad_norm: 73.9718 2023-11-22 02:00:47,019 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 02:00:47,019 - mmseg - INFO - Iter [29000/160000] lr: 7.799e-06, eta: 21:28:53, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5320, decode.loss_mask: 0.6730, decode.loss_dice: 0.9661, decode.d0.loss_cls: 1.7864, decode.d0.loss_mask: 0.7254, decode.d0.loss_dice: 1.1331, decode.d1.loss_cls: 0.6717, decode.d1.loss_mask: 0.6985, decode.d1.loss_dice: 1.0430, decode.d2.loss_cls: 0.5813, decode.d2.loss_mask: 0.6930, decode.d2.loss_dice: 1.0064, decode.d3.loss_cls: 0.5600, decode.d3.loss_mask: 0.6795, decode.d3.loss_dice: 0.9835, decode.d4.loss_cls: 0.5513, decode.d4.loss_mask: 0.6795, decode.d4.loss_dice: 0.9742, decode.d5.loss_cls: 0.5364, decode.d5.loss_mask: 0.6788, decode.d5.loss_dice: 0.9751, decode.d6.loss_cls: 0.5399, decode.d6.loss_mask: 0.6767, decode.d6.loss_dice: 0.9626, decode.d7.loss_cls: 0.5361, decode.d7.loss_mask: 0.6740, decode.d7.loss_dice: 0.9662, decode.d8.loss_cls: 0.5339, decode.d8.loss_mask: 0.6770, decode.d8.loss_dice: 0.9659, loss: 23.6605, grad_norm: 76.3877 2023-11-22 02:01:18,125 - mmseg - INFO - Iter [29050/160000] lr: 7.796e-06, eta: 21:28:31, time: 0.622, data_time: 0.060, memory: 38143, decode.loss_cls: 0.5170, decode.loss_mask: 0.6438, decode.loss_dice: 0.9410, decode.d0.loss_cls: 1.7474, decode.d0.loss_mask: 0.6825, decode.d0.loss_dice: 1.1049, decode.d1.loss_cls: 0.6503, decode.d1.loss_mask: 0.6694, decode.d1.loss_dice: 1.0189, decode.d2.loss_cls: 0.5705, decode.d2.loss_mask: 0.6520, decode.d2.loss_dice: 0.9804, decode.d3.loss_cls: 0.5469, decode.d3.loss_mask: 0.6427, decode.d3.loss_dice: 0.9560, decode.d4.loss_cls: 0.5372, decode.d4.loss_mask: 0.6415, decode.d4.loss_dice: 0.9513, decode.d5.loss_cls: 0.5239, decode.d5.loss_mask: 0.6454, decode.d5.loss_dice: 0.9488, decode.d6.loss_cls: 0.5244, decode.d6.loss_mask: 0.6412, decode.d6.loss_dice: 0.9399, decode.d7.loss_cls: 0.5155, decode.d7.loss_mask: 0.6428, decode.d7.loss_dice: 0.9432, decode.d8.loss_cls: 0.5183, decode.d8.loss_mask: 0.6439, decode.d8.loss_dice: 0.9450, loss: 22.8861, grad_norm: 81.5942 2023-11-22 02:01:46,618 - mmseg - INFO - Iter [29100/160000] lr: 7.793e-06, eta: 21:27:57, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5207, decode.loss_mask: 0.6307, decode.loss_dice: 0.9432, decode.d0.loss_cls: 1.7453, decode.d0.loss_mask: 0.6714, decode.d0.loss_dice: 1.0963, decode.d1.loss_cls: 0.6403, decode.d1.loss_mask: 0.6615, decode.d1.loss_dice: 1.0107, decode.d2.loss_cls: 0.5736, decode.d2.loss_mask: 0.6474, decode.d2.loss_dice: 0.9756, decode.d3.loss_cls: 0.5480, decode.d3.loss_mask: 0.6384, decode.d3.loss_dice: 0.9560, decode.d4.loss_cls: 0.5405, decode.d4.loss_mask: 0.6399, decode.d4.loss_dice: 0.9516, decode.d5.loss_cls: 0.5259, decode.d5.loss_mask: 0.6393, decode.d5.loss_dice: 0.9478, decode.d6.loss_cls: 0.5245, decode.d6.loss_mask: 0.6344, decode.d6.loss_dice: 0.9425, decode.d7.loss_cls: 0.5187, decode.d7.loss_mask: 0.6369, decode.d7.loss_dice: 0.9421, decode.d8.loss_cls: 0.5195, decode.d8.loss_mask: 0.6341, decode.d8.loss_dice: 0.9436, loss: 22.8004, grad_norm: 77.5601 2023-11-22 02:02:15,138 - mmseg - INFO - Iter [29150/160000] lr: 7.790e-06, eta: 21:27:23, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5005, decode.loss_mask: 0.6173, decode.loss_dice: 0.9127, decode.d0.loss_cls: 1.7257, decode.d0.loss_mask: 0.6609, decode.d0.loss_dice: 1.0832, decode.d1.loss_cls: 0.6172, decode.d1.loss_mask: 0.6416, decode.d1.loss_dice: 0.9804, decode.d2.loss_cls: 0.5462, decode.d2.loss_mask: 0.6362, decode.d2.loss_dice: 0.9514, decode.d3.loss_cls: 0.5251, decode.d3.loss_mask: 0.6281, decode.d3.loss_dice: 0.9300, decode.d4.loss_cls: 0.5206, decode.d4.loss_mask: 0.6226, decode.d4.loss_dice: 0.9211, decode.d5.loss_cls: 0.5103, decode.d5.loss_mask: 0.6210, decode.d5.loss_dice: 0.9162, decode.d6.loss_cls: 0.5140, decode.d6.loss_mask: 0.6197, decode.d6.loss_dice: 0.9076, decode.d7.loss_cls: 0.5055, decode.d7.loss_mask: 0.6149, decode.d7.loss_dice: 0.9137, decode.d8.loss_cls: 0.5089, decode.d8.loss_mask: 0.6140, decode.d8.loss_dice: 0.9080, loss: 22.1745, grad_norm: 72.4423 2023-11-22 02:02:43,717 - mmseg - INFO - Iter [29200/160000] lr: 7.787e-06, eta: 21:26:49, time: 0.572, data_time: 0.015, memory: 38143, decode.loss_cls: 0.5239, decode.loss_mask: 0.6579, decode.loss_dice: 0.9497, decode.d0.loss_cls: 1.8221, decode.d0.loss_mask: 0.7045, decode.d0.loss_dice: 1.1197, decode.d1.loss_cls: 0.6619, decode.d1.loss_mask: 0.6860, decode.d1.loss_dice: 1.0266, decode.d2.loss_cls: 0.5830, decode.d2.loss_mask: 0.6732, decode.d2.loss_dice: 0.9839, decode.d3.loss_cls: 0.5478, decode.d3.loss_mask: 0.6680, decode.d3.loss_dice: 0.9633, decode.d4.loss_cls: 0.5323, decode.d4.loss_mask: 0.6654, decode.d4.loss_dice: 0.9583, decode.d5.loss_cls: 0.5315, decode.d5.loss_mask: 0.6599, decode.d5.loss_dice: 0.9525, decode.d6.loss_cls: 0.5286, decode.d6.loss_mask: 0.6551, decode.d6.loss_dice: 0.9521, decode.d7.loss_cls: 0.5250, decode.d7.loss_mask: 0.6566, decode.d7.loss_dice: 0.9512, decode.d8.loss_cls: 0.5265, decode.d8.loss_mask: 0.6597, decode.d8.loss_dice: 0.9488, loss: 23.2749, grad_norm: 71.8101 2023-11-22 02:03:12,214 - mmseg - INFO - Iter [29250/160000] lr: 7.784e-06, eta: 21:26:15, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5195, decode.loss_mask: 0.6200, decode.loss_dice: 0.9539, decode.d0.loss_cls: 1.7566, decode.d0.loss_mask: 0.6564, decode.d0.loss_dice: 1.1123, decode.d1.loss_cls: 0.6564, decode.d1.loss_mask: 0.6504, decode.d1.loss_dice: 1.0261, decode.d2.loss_cls: 0.5731, decode.d2.loss_mask: 0.6321, decode.d2.loss_dice: 0.9920, decode.d3.loss_cls: 0.5354, decode.d3.loss_mask: 0.6288, decode.d3.loss_dice: 0.9681, decode.d4.loss_cls: 0.5275, decode.d4.loss_mask: 0.6269, decode.d4.loss_dice: 0.9628, decode.d5.loss_cls: 0.5271, decode.d5.loss_mask: 0.6264, decode.d5.loss_dice: 0.9629, decode.d6.loss_cls: 0.5226, decode.d6.loss_mask: 0.6235, decode.d6.loss_dice: 0.9543, decode.d7.loss_cls: 0.5222, decode.d7.loss_mask: 0.6216, decode.d7.loss_dice: 0.9515, decode.d8.loss_cls: 0.5200, decode.d8.loss_mask: 0.6218, decode.d8.loss_dice: 0.9546, loss: 22.8070, grad_norm: 70.8627 2023-11-22 02:03:40,662 - mmseg - INFO - Iter [29300/160000] lr: 7.781e-06, eta: 21:25:41, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5032, decode.loss_mask: 0.6190, decode.loss_dice: 0.9230, decode.d0.loss_cls: 1.7519, decode.d0.loss_mask: 0.6575, decode.d0.loss_dice: 1.0830, decode.d1.loss_cls: 0.6297, decode.d1.loss_mask: 0.6530, decode.d1.loss_dice: 1.0001, decode.d2.loss_cls: 0.5480, decode.d2.loss_mask: 0.6343, decode.d2.loss_dice: 0.9559, decode.d3.loss_cls: 0.5264, decode.d3.loss_mask: 0.6236, decode.d3.loss_dice: 0.9329, decode.d4.loss_cls: 0.5134, decode.d4.loss_mask: 0.6225, decode.d4.loss_dice: 0.9315, decode.d5.loss_cls: 0.5062, decode.d5.loss_mask: 0.6262, decode.d5.loss_dice: 0.9329, decode.d6.loss_cls: 0.5084, decode.d6.loss_mask: 0.6231, decode.d6.loss_dice: 0.9232, decode.d7.loss_cls: 0.5046, decode.d7.loss_mask: 0.6253, decode.d7.loss_dice: 0.9239, decode.d8.loss_cls: 0.5068, decode.d8.loss_mask: 0.6224, decode.d8.loss_dice: 0.9226, loss: 22.3342, grad_norm: 69.1290 2023-11-22 02:04:09,566 - mmseg - INFO - Iter [29350/160000] lr: 7.778e-06, eta: 21:25:08, time: 0.578, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5353, decode.loss_mask: 0.6492, decode.loss_dice: 0.9301, decode.d0.loss_cls: 1.7776, decode.d0.loss_mask: 0.6870, decode.d0.loss_dice: 1.0929, decode.d1.loss_cls: 0.6547, decode.d1.loss_mask: 0.6751, decode.d1.loss_dice: 1.0019, decode.d2.loss_cls: 0.5749, decode.d2.loss_mask: 0.6640, decode.d2.loss_dice: 0.9717, decode.d3.loss_cls: 0.5438, decode.d3.loss_mask: 0.6547, decode.d3.loss_dice: 0.9460, decode.d4.loss_cls: 0.5340, decode.d4.loss_mask: 0.6544, decode.d4.loss_dice: 0.9533, decode.d5.loss_cls: 0.5286, decode.d5.loss_mask: 0.6558, decode.d5.loss_dice: 0.9482, decode.d6.loss_cls: 0.5311, decode.d6.loss_mask: 0.6519, decode.d6.loss_dice: 0.9365, decode.d7.loss_cls: 0.5258, decode.d7.loss_mask: 0.6522, decode.d7.loss_dice: 0.9374, decode.d8.loss_cls: 0.5288, decode.d8.loss_mask: 0.6547, decode.d8.loss_dice: 0.9403, loss: 22.9916, grad_norm: 75.6020 2023-11-22 02:04:37,985 - mmseg - INFO - Iter [29400/160000] lr: 7.775e-06, eta: 21:24:34, time: 0.568, data_time: 0.015, memory: 38143, decode.loss_cls: 0.5048, decode.loss_mask: 0.6255, decode.loss_dice: 0.9453, decode.d0.loss_cls: 1.7409, decode.d0.loss_mask: 0.6639, decode.d0.loss_dice: 1.0846, decode.d1.loss_cls: 0.6398, decode.d1.loss_mask: 0.6589, decode.d1.loss_dice: 1.0065, decode.d2.loss_cls: 0.5590, decode.d2.loss_mask: 0.6423, decode.d2.loss_dice: 0.9655, decode.d3.loss_cls: 0.5218, decode.d3.loss_mask: 0.6354, decode.d3.loss_dice: 0.9481, decode.d4.loss_cls: 0.5140, decode.d4.loss_mask: 0.6311, decode.d4.loss_dice: 0.9518, decode.d5.loss_cls: 0.5084, decode.d5.loss_mask: 0.6333, decode.d5.loss_dice: 0.9468, decode.d6.loss_cls: 0.5047, decode.d6.loss_mask: 0.6276, decode.d6.loss_dice: 0.9448, decode.d7.loss_cls: 0.5107, decode.d7.loss_mask: 0.6296, decode.d7.loss_dice: 0.9410, decode.d8.loss_cls: 0.5084, decode.d8.loss_mask: 0.6292, decode.d8.loss_dice: 0.9449, loss: 22.5686, grad_norm: 68.9786 2023-11-22 02:05:06,495 - mmseg - INFO - Iter [29450/160000] lr: 7.772e-06, eta: 21:24:00, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4880, decode.loss_mask: 0.6371, decode.loss_dice: 0.9232, decode.d0.loss_cls: 1.7105, decode.d0.loss_mask: 0.6725, decode.d0.loss_dice: 1.0640, decode.d1.loss_cls: 0.6052, decode.d1.loss_mask: 0.6734, decode.d1.loss_dice: 0.9924, decode.d2.loss_cls: 0.5386, decode.d2.loss_mask: 0.6501, decode.d2.loss_dice: 0.9473, decode.d3.loss_cls: 0.5138, decode.d3.loss_mask: 0.6450, decode.d3.loss_dice: 0.9307, decode.d4.loss_cls: 0.4990, decode.d4.loss_mask: 0.6412, decode.d4.loss_dice: 0.9297, decode.d5.loss_cls: 0.4969, decode.d5.loss_mask: 0.6462, decode.d5.loss_dice: 0.9265, decode.d6.loss_cls: 0.4906, decode.d6.loss_mask: 0.6454, decode.d6.loss_dice: 0.9263, decode.d7.loss_cls: 0.4889, decode.d7.loss_mask: 0.6436, decode.d7.loss_dice: 0.9252, decode.d8.loss_cls: 0.4906, decode.d8.loss_mask: 0.6439, decode.d8.loss_dice: 0.9214, loss: 22.3075, grad_norm: 73.6094 2023-11-22 02:05:34,959 - mmseg - INFO - Iter [29500/160000] lr: 7.769e-06, eta: 21:23:26, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5029, decode.loss_mask: 0.6479, decode.loss_dice: 0.9370, decode.d0.loss_cls: 1.7511, decode.d0.loss_mask: 0.6881, decode.d0.loss_dice: 1.0994, decode.d1.loss_cls: 0.6240, decode.d1.loss_mask: 0.6737, decode.d1.loss_dice: 1.0121, decode.d2.loss_cls: 0.5431, decode.d2.loss_mask: 0.6651, decode.d2.loss_dice: 0.9696, decode.d3.loss_cls: 0.5171, decode.d3.loss_mask: 0.6514, decode.d3.loss_dice: 0.9431, decode.d4.loss_cls: 0.5129, decode.d4.loss_mask: 0.6548, decode.d4.loss_dice: 0.9478, decode.d5.loss_cls: 0.5090, decode.d5.loss_mask: 0.6547, decode.d5.loss_dice: 0.9409, decode.d6.loss_cls: 0.5050, decode.d6.loss_mask: 0.6479, decode.d6.loss_dice: 0.9360, decode.d7.loss_cls: 0.5004, decode.d7.loss_mask: 0.6510, decode.d7.loss_dice: 0.9347, decode.d8.loss_cls: 0.5007, decode.d8.loss_mask: 0.6545, decode.d8.loss_dice: 0.9357, loss: 22.7112, grad_norm: 78.7583 2023-11-22 02:06:03,379 - mmseg - INFO - Iter [29550/160000] lr: 7.766e-06, eta: 21:22:52, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5382, decode.loss_mask: 0.6417, decode.loss_dice: 0.9503, decode.d0.loss_cls: 1.7451, decode.d0.loss_mask: 0.6870, decode.d0.loss_dice: 1.1160, decode.d1.loss_cls: 0.6680, decode.d1.loss_mask: 0.6605, decode.d1.loss_dice: 1.0247, decode.d2.loss_cls: 0.5924, decode.d2.loss_mask: 0.6488, decode.d2.loss_dice: 0.9857, decode.d3.loss_cls: 0.5718, decode.d3.loss_mask: 0.6454, decode.d3.loss_dice: 0.9507, decode.d4.loss_cls: 0.5652, decode.d4.loss_mask: 0.6377, decode.d4.loss_dice: 0.9482, decode.d5.loss_cls: 0.5520, decode.d5.loss_mask: 0.6413, decode.d5.loss_dice: 0.9547, decode.d6.loss_cls: 0.5487, decode.d6.loss_mask: 0.6398, decode.d6.loss_dice: 0.9452, decode.d7.loss_cls: 0.5397, decode.d7.loss_mask: 0.6398, decode.d7.loss_dice: 0.9500, decode.d8.loss_cls: 0.5328, decode.d8.loss_mask: 0.6417, decode.d8.loss_dice: 0.9537, loss: 23.1168, grad_norm: 77.5322 2023-11-22 02:06:31,924 - mmseg - INFO - Iter [29600/160000] lr: 7.763e-06, eta: 21:22:18, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5347, decode.loss_mask: 0.6606, decode.loss_dice: 0.9664, decode.d0.loss_cls: 1.7515, decode.d0.loss_mask: 0.7022, decode.d0.loss_dice: 1.1306, decode.d1.loss_cls: 0.6547, decode.d1.loss_mask: 0.6953, decode.d1.loss_dice: 1.0419, decode.d2.loss_cls: 0.5817, decode.d2.loss_mask: 0.6784, decode.d2.loss_dice: 1.0065, decode.d3.loss_cls: 0.5522, decode.d3.loss_mask: 0.6695, decode.d3.loss_dice: 0.9852, decode.d4.loss_cls: 0.5413, decode.d4.loss_mask: 0.6711, decode.d4.loss_dice: 0.9817, decode.d5.loss_cls: 0.5415, decode.d5.loss_mask: 0.6677, decode.d5.loss_dice: 0.9826, decode.d6.loss_cls: 0.5403, decode.d6.loss_mask: 0.6640, decode.d6.loss_dice: 0.9691, decode.d7.loss_cls: 0.5317, decode.d7.loss_mask: 0.6656, decode.d7.loss_dice: 0.9693, decode.d8.loss_cls: 0.5291, decode.d8.loss_mask: 0.6625, decode.d8.loss_dice: 0.9773, loss: 23.5064, grad_norm: 72.4632 2023-11-22 02:07:00,658 - mmseg - INFO - Iter [29650/160000] lr: 7.760e-06, eta: 21:21:45, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4930, decode.loss_mask: 0.6380, decode.loss_dice: 0.9273, decode.d0.loss_cls: 1.7219, decode.d0.loss_mask: 0.6774, decode.d0.loss_dice: 1.0863, decode.d1.loss_cls: 0.6142, decode.d1.loss_mask: 0.6650, decode.d1.loss_dice: 0.9944, decode.d2.loss_cls: 0.5413, decode.d2.loss_mask: 0.6551, decode.d2.loss_dice: 0.9578, decode.d3.loss_cls: 0.5196, decode.d3.loss_mask: 0.6453, decode.d3.loss_dice: 0.9381, decode.d4.loss_cls: 0.5108, decode.d4.loss_mask: 0.6440, decode.d4.loss_dice: 0.9338, decode.d5.loss_cls: 0.5046, decode.d5.loss_mask: 0.6412, decode.d5.loss_dice: 0.9315, decode.d6.loss_cls: 0.5010, decode.d6.loss_mask: 0.6388, decode.d6.loss_dice: 0.9286, decode.d7.loss_cls: 0.4984, decode.d7.loss_mask: 0.6367, decode.d7.loss_dice: 0.9215, decode.d8.loss_cls: 0.4921, decode.d8.loss_mask: 0.6377, decode.d8.loss_dice: 0.9276, loss: 22.4229, grad_norm: 72.7075 2023-11-22 02:07:29,077 - mmseg - INFO - Iter [29700/160000] lr: 7.757e-06, eta: 21:21:11, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5028, decode.loss_mask: 0.6557, decode.loss_dice: 0.9392, decode.d0.loss_cls: 1.7176, decode.d0.loss_mask: 0.6974, decode.d0.loss_dice: 1.1097, decode.d1.loss_cls: 0.6222, decode.d1.loss_mask: 0.6780, decode.d1.loss_dice: 1.0142, decode.d2.loss_cls: 0.5675, decode.d2.loss_mask: 0.6637, decode.d2.loss_dice: 0.9709, decode.d3.loss_cls: 0.5233, decode.d3.loss_mask: 0.6601, decode.d3.loss_dice: 0.9525, decode.d4.loss_cls: 0.5163, decode.d4.loss_mask: 0.6591, decode.d4.loss_dice: 0.9526, decode.d5.loss_cls: 0.5113, decode.d5.loss_mask: 0.6535, decode.d5.loss_dice: 0.9460, decode.d6.loss_cls: 0.5019, decode.d6.loss_mask: 0.6548, decode.d6.loss_dice: 0.9421, decode.d7.loss_cls: 0.4996, decode.d7.loss_mask: 0.6530, decode.d7.loss_dice: 0.9448, decode.d8.loss_cls: 0.5060, decode.d8.loss_mask: 0.6535, decode.d8.loss_dice: 0.9389, loss: 22.8082, grad_norm: 72.6060 2023-11-22 02:07:57,598 - mmseg - INFO - Iter [29750/160000] lr: 7.754e-06, eta: 21:20:37, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5168, decode.loss_mask: 0.6427, decode.loss_dice: 0.9221, decode.d0.loss_cls: 1.7783, decode.d0.loss_mask: 0.6732, decode.d0.loss_dice: 1.0891, decode.d1.loss_cls: 0.6423, decode.d1.loss_mask: 0.6693, decode.d1.loss_dice: 0.9957, decode.d2.loss_cls: 0.5643, decode.d2.loss_mask: 0.6556, decode.d2.loss_dice: 0.9530, decode.d3.loss_cls: 0.5326, decode.d3.loss_mask: 0.6489, decode.d3.loss_dice: 0.9361, decode.d4.loss_cls: 0.5230, decode.d4.loss_mask: 0.6501, decode.d4.loss_dice: 0.9308, decode.d5.loss_cls: 0.5230, decode.d5.loss_mask: 0.6460, decode.d5.loss_dice: 0.9359, decode.d6.loss_cls: 0.5216, decode.d6.loss_mask: 0.6459, decode.d6.loss_dice: 0.9206, decode.d7.loss_cls: 0.5170, decode.d7.loss_mask: 0.6457, decode.d7.loss_dice: 0.9261, decode.d8.loss_cls: 0.5160, decode.d8.loss_mask: 0.6442, decode.d8.loss_dice: 0.9321, loss: 22.6980, grad_norm: 74.1688 2023-11-22 02:08:25,971 - mmseg - INFO - Iter [29800/160000] lr: 7.751e-06, eta: 21:20:03, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5310, decode.loss_mask: 0.6480, decode.loss_dice: 0.9378, decode.d0.loss_cls: 1.7108, decode.d0.loss_mask: 0.6887, decode.d0.loss_dice: 1.1037, decode.d1.loss_cls: 0.6424, decode.d1.loss_mask: 0.6780, decode.d1.loss_dice: 1.0016, decode.d2.loss_cls: 0.5719, decode.d2.loss_mask: 0.6620, decode.d2.loss_dice: 0.9653, decode.d3.loss_cls: 0.5538, decode.d3.loss_mask: 0.6537, decode.d3.loss_dice: 0.9481, decode.d4.loss_cls: 0.5447, decode.d4.loss_mask: 0.6520, decode.d4.loss_dice: 0.9459, decode.d5.loss_cls: 0.5387, decode.d5.loss_mask: 0.6494, decode.d5.loss_dice: 0.9498, decode.d6.loss_cls: 0.5372, decode.d6.loss_mask: 0.6495, decode.d6.loss_dice: 0.9416, decode.d7.loss_cls: 0.5351, decode.d7.loss_mask: 0.6501, decode.d7.loss_dice: 0.9463, decode.d8.loss_cls: 0.5366, decode.d8.loss_mask: 0.6525, decode.d8.loss_dice: 0.9435, loss: 22.9696, grad_norm: 71.4115 2023-11-22 02:08:54,380 - mmseg - INFO - Iter [29850/160000] lr: 7.748e-06, eta: 21:19:28, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5168, decode.loss_mask: 0.6174, decode.loss_dice: 0.9133, decode.d0.loss_cls: 1.7891, decode.d0.loss_mask: 0.6612, decode.d0.loss_dice: 1.0885, decode.d1.loss_cls: 0.6386, decode.d1.loss_mask: 0.6430, decode.d1.loss_dice: 0.9888, decode.d2.loss_cls: 0.5684, decode.d2.loss_mask: 0.6291, decode.d2.loss_dice: 0.9437, decode.d3.loss_cls: 0.5397, decode.d3.loss_mask: 0.6240, decode.d3.loss_dice: 0.9319, decode.d4.loss_cls: 0.5258, decode.d4.loss_mask: 0.6179, decode.d4.loss_dice: 0.9258, decode.d5.loss_cls: 0.5188, decode.d5.loss_mask: 0.6225, decode.d5.loss_dice: 0.9213, decode.d6.loss_cls: 0.5170, decode.d6.loss_mask: 0.6227, decode.d6.loss_dice: 0.9183, decode.d7.loss_cls: 0.5148, decode.d7.loss_mask: 0.6215, decode.d7.loss_dice: 0.9151, decode.d8.loss_cls: 0.5183, decode.d8.loss_mask: 0.6185, decode.d8.loss_dice: 0.9131, loss: 22.3848, grad_norm: 70.4230 2023-11-22 02:09:23,106 - mmseg - INFO - Iter [29900/160000] lr: 7.745e-06, eta: 21:18:56, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5040, decode.loss_mask: 0.6375, decode.loss_dice: 0.9359, decode.d0.loss_cls: 1.7574, decode.d0.loss_mask: 0.6709, decode.d0.loss_dice: 1.0838, decode.d1.loss_cls: 0.6274, decode.d1.loss_mask: 0.6627, decode.d1.loss_dice: 0.9901, decode.d2.loss_cls: 0.5558, decode.d2.loss_mask: 0.6439, decode.d2.loss_dice: 0.9551, decode.d3.loss_cls: 0.5281, decode.d3.loss_mask: 0.6398, decode.d3.loss_dice: 0.9415, decode.d4.loss_cls: 0.5152, decode.d4.loss_mask: 0.6431, decode.d4.loss_dice: 0.9392, decode.d5.loss_cls: 0.5135, decode.d5.loss_mask: 0.6388, decode.d5.loss_dice: 0.9350, decode.d6.loss_cls: 0.5152, decode.d6.loss_mask: 0.6347, decode.d6.loss_dice: 0.9323, decode.d7.loss_cls: 0.5074, decode.d7.loss_mask: 0.6333, decode.d7.loss_dice: 0.9347, decode.d8.loss_cls: 0.5133, decode.d8.loss_mask: 0.6381, decode.d8.loss_dice: 0.9350, loss: 22.5626, grad_norm: 72.7679 2023-11-22 02:09:51,725 - mmseg - INFO - Iter [29950/160000] lr: 7.742e-06, eta: 21:18:22, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4855, decode.loss_mask: 0.6714, decode.loss_dice: 0.9210, decode.d0.loss_cls: 1.6871, decode.d0.loss_mask: 0.7070, decode.d0.loss_dice: 1.0731, decode.d1.loss_cls: 0.5967, decode.d1.loss_mask: 0.6905, decode.d1.loss_dice: 0.9759, decode.d2.loss_cls: 0.5233, decode.d2.loss_mask: 0.6868, decode.d2.loss_dice: 0.9470, decode.d3.loss_cls: 0.4989, decode.d3.loss_mask: 0.6766, decode.d3.loss_dice: 0.9279, decode.d4.loss_cls: 0.4999, decode.d4.loss_mask: 0.6701, decode.d4.loss_dice: 0.9249, decode.d5.loss_cls: 0.4893, decode.d5.loss_mask: 0.6735, decode.d5.loss_dice: 0.9232, decode.d6.loss_cls: 0.4892, decode.d6.loss_mask: 0.6694, decode.d6.loss_dice: 0.9124, decode.d7.loss_cls: 0.4804, decode.d7.loss_mask: 0.6718, decode.d7.loss_dice: 0.9182, decode.d8.loss_cls: 0.4858, decode.d8.loss_mask: 0.6726, decode.d8.loss_dice: 0.9157, loss: 22.4654, grad_norm: 72.9328 2023-11-22 02:10:20,121 - mmseg - INFO - Saving checkpoint at 30000 iterations 2023-11-22 02:10:28,260 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 02:10:28,260 - mmseg - INFO - Iter [30000/160000] lr: 7.739e-06, eta: 21:18:23, time: 0.731, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5239, decode.loss_mask: 0.6573, decode.loss_dice: 0.9474, decode.d0.loss_cls: 1.7297, decode.d0.loss_mask: 0.6924, decode.d0.loss_dice: 1.0908, decode.d1.loss_cls: 0.6298, decode.d1.loss_mask: 0.6825, decode.d1.loss_dice: 1.0175, decode.d2.loss_cls: 0.5729, decode.d2.loss_mask: 0.6674, decode.d2.loss_dice: 0.9750, decode.d3.loss_cls: 0.5527, decode.d3.loss_mask: 0.6600, decode.d3.loss_dice: 0.9473, decode.d4.loss_cls: 0.5381, decode.d4.loss_mask: 0.6593, decode.d4.loss_dice: 0.9548, decode.d5.loss_cls: 0.5320, decode.d5.loss_mask: 0.6581, decode.d5.loss_dice: 0.9557, decode.d6.loss_cls: 0.5314, decode.d6.loss_mask: 0.6597, decode.d6.loss_dice: 0.9410, decode.d7.loss_cls: 0.5205, decode.d7.loss_mask: 0.6577, decode.d7.loss_dice: 0.9449, decode.d8.loss_cls: 0.5249, decode.d8.loss_mask: 0.6566, decode.d8.loss_dice: 0.9440, loss: 23.0250, grad_norm: 75.2295 2023-11-22 02:10:47,800 - mmseg - INFO - per class results: 2023-11-22 02:10:47,810 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.1 | 86.62 | | building | 84.01 | 92.21 | | sky | 95.04 | 97.53 | | floor | 84.0 | 90.64 | | tree | 77.46 | 86.62 | | ceiling | 86.54 | 93.9 | | road | 85.35 | 92.3 | | bed | 90.91 | 95.3 | | windowpane | 64.2 | 77.72 | | grass | 70.41 | 82.06 | | cabinet | 61.0 | 77.58 | | sidewalk | 69.0 | 83.06 | | person | 86.32 | 93.22 | | earth | 37.11 | 44.77 | | door | 55.14 | 71.53 | | table | 67.77 | 83.4 | | mountain | 61.82 | 90.35 | | plant | 57.3 | 74.54 | | curtain | 78.41 | 91.62 | | chair | 65.35 | 76.25 | | car | 87.57 | 93.35 | | water | 52.91 | 69.3 | | painting | 72.52 | 89.53 | | sofa | 74.05 | 89.16 | | shelf | 50.47 | 70.85 | | house | 49.28 | 62.96 | | sea | 63.54 | 90.58 | | mirror | 68.98 | 84.87 | | rug | 67.95 | 85.21 | | field | 31.76 | 64.75 | | armchair | 49.7 | 71.62 | | seat | 69.45 | 85.64 | | fence | 52.97 | 70.83 | | desk | 58.96 | 75.2 | | rock | 33.2 | 38.55 | | wardrobe | 48.3 | 76.71 | | lamp | 73.29 | 82.69 | | bathtub | 72.45 | 90.87 | | railing | 37.42 | 64.94 | | cushion | 65.81 | 73.42 | | base | 29.58 | 52.34 | | box | 35.32 | 52.54 | | column | 50.66 | 76.16 | | signboard | 39.68 | 63.58 | | chest of drawers | 45.06 | 57.32 | | counter | 35.72 | 39.3 | | sand | 37.06 | 51.92 | | sink | 78.79 | 84.11 | | skyscraper | 38.7 | 49.81 | | fireplace | 72.28 | 91.86 | | refrigerator | 81.0 | 89.57 | | grandstand | 61.45 | 74.43 | | path | 18.31 | 27.46 | | stairs | 30.97 | 34.75 | | runway | 65.49 | 83.2 | | case | 66.37 | 81.43 | | pool table | 93.29 | 97.65 | | pillow | 63.26 | 81.79 | | screen door | 76.51 | 95.11 | | stairway | 26.94 | 54.72 | | river | 8.72 | 13.39 | | bridge | 75.01 | 89.65 | | bookcase | 36.25 | 48.96 | | blind | 56.58 | 73.96 | | coffee table | 69.97 | 83.72 | | toilet | 88.67 | 92.18 | | flower | 41.71 | 59.92 | | book | 54.77 | 76.72 | | hill | 7.89 | 10.64 | | bench | 65.74 | 74.59 | | countertop | 53.28 | 67.74 | | stove | 80.13 | 85.18 | | palm | 55.15 | 74.69 | | kitchen island | 15.19 | 21.4 | | computer | 78.39 | 86.84 | | swivel chair | 52.89 | 70.34 | | boat | 51.12 | 58.17 | | bar | 36.24 | 44.59 | | arcade machine | 84.02 | 97.88 | | hovel | 39.53 | 47.85 | | bus | 91.73 | 97.64 | | towel | 75.75 | 94.37 | | light | 62.19 | 75.64 | | truck | 41.04 | 62.57 | | tower | 31.93 | 53.31 | | chandelier | 72.01 | 85.34 | | awning | 34.16 | 53.68 | | streetlight | 42.87 | 64.26 | | booth | 37.32 | 40.69 | | television receiver | 80.63 | 90.84 | | airplane | 63.72 | 72.0 | | dirt track | 2.19 | 2.31 | | apparel | 35.44 | 64.42 | | pole | 35.43 | 60.52 | | land | 0.04 | 0.04 | | bannister | 17.54 | 33.74 | | escalator | 55.94 | 71.54 | | ottoman | 55.84 | 75.8 | | bottle | 27.82 | 38.84 | | buffet | 12.01 | 16.74 | | poster | 38.89 | 49.1 | | stage | 16.45 | 30.06 | | van | 49.63 | 76.85 | | ship | 16.96 | 24.12 | | fountain | 18.31 | 22.83 | | conveyer belt | 70.82 | 91.18 | | canopy | 44.93 | 76.65 | | washer | 50.78 | 74.96 | | plaything | 33.14 | 55.56 | | swimming pool | 47.28 | 72.95 | | stool | 53.06 | 68.76 | | barrel | 59.55 | 74.3 | | basket | 40.02 | 65.66 | | waterfall | 43.89 | 59.02 | | tent | 92.87 | 98.2 | | bag | 22.18 | 31.5 | | minibike | 72.61 | 88.3 | | cradle | 79.08 | 97.54 | | oven | 25.42 | 72.28 | | ball | 30.23 | 35.45 | | food | 64.18 | 80.35 | | step | 30.18 | 46.89 | | tank | 43.14 | 46.75 | | trade name | 21.34 | 25.26 | | microwave | 43.62 | 49.17 | | pot | 45.9 | 56.62 | | animal | 77.57 | 80.42 | | bicycle | 59.26 | 84.91 | | lake | 0.0 | 0.0 | | dishwasher | 81.71 | 89.84 | | screen | 57.3 | 94.69 | | blanket | 30.61 | 42.65 | | sculpture | 57.67 | 92.84 | | hood | 77.95 | 94.27 | | sconce | 58.1 | 75.24 | | vase | 49.28 | 79.83 | | traffic light | 45.96 | 67.82 | | tray | 20.99 | 36.4 | | ashcan | 49.98 | 69.49 | | fan | 69.56 | 80.89 | | pier | 0.0 | 0.0 | | crt screen | 4.76 | 11.74 | | plate | 63.34 | 72.47 | | monitor | 1.97 | 2.3 | | bulletin board | 38.9 | 50.46 | | shower | 13.88 | 27.87 | | radiator | 67.43 | 82.55 | | glass | 25.77 | 30.47 | | clock | 34.92 | 44.64 | | flag | 50.2 | 57.5 | +---------------------+-------+-------+ 2023-11-22 02:10:47,810 - mmseg - INFO - Summary: 2023-11-22 02:10:47,810 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.66 | 52.02 | 66.16 | +-------+-------+-------+ 2023-11-22 02:10:47,811 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 02:10:47,812 - mmseg - INFO - Iter(val) [250] aAcc: 0.8466, mIoU: 0.5202, mAcc: 0.6616, IoU.wall: 0.8010, IoU.building: 0.8401, IoU.sky: 0.9504, IoU.floor: 0.8400, IoU.tree: 0.7746, IoU.ceiling: 0.8654, IoU.road: 0.8535, IoU.bed : 0.9091, IoU.windowpane: 0.6420, IoU.grass: 0.7041, IoU.cabinet: 0.6100, IoU.sidewalk: 0.6900, IoU.person: 0.8632, IoU.earth: 0.3711, IoU.door: 0.5514, IoU.table: 0.6777, IoU.mountain: 0.6182, IoU.plant: 0.5730, IoU.curtain: 0.7841, IoU.chair: 0.6535, IoU.car: 0.8757, IoU.water: 0.5291, IoU.painting: 0.7252, IoU.sofa: 0.7405, IoU.shelf: 0.5047, IoU.house: 0.4928, IoU.sea: 0.6354, IoU.mirror: 0.6898, IoU.rug: 0.6795, IoU.field: 0.3176, IoU.armchair: 0.4970, IoU.seat: 0.6945, IoU.fence: 0.5297, IoU.desk: 0.5896, IoU.rock: 0.3320, IoU.wardrobe: 0.4830, IoU.lamp: 0.7329, IoU.bathtub: 0.7245, IoU.railing: 0.3742, IoU.cushion: 0.6581, IoU.base: 0.2958, IoU.box: 0.3532, IoU.column: 0.5066, IoU.signboard: 0.3968, IoU.chest of drawers: 0.4506, IoU.counter: 0.3572, IoU.sand: 0.3706, IoU.sink: 0.7879, IoU.skyscraper: 0.3870, IoU.fireplace: 0.7228, IoU.refrigerator: 0.8100, IoU.grandstand: 0.6145, IoU.path: 0.1831, IoU.stairs: 0.3097, IoU.runway: 0.6549, IoU.case: 0.6637, IoU.pool table: 0.9329, IoU.pillow: 0.6326, IoU.screen door: 0.7651, IoU.stairway: 0.2694, IoU.river: 0.0872, IoU.bridge: 0.7501, IoU.bookcase: 0.3625, IoU.blind: 0.5658, IoU.coffee table: 0.6997, IoU.toilet: 0.8867, IoU.flower: 0.4171, IoU.book: 0.5477, IoU.hill: 0.0789, IoU.bench: 0.6574, IoU.countertop: 0.5328, IoU.stove: 0.8013, IoU.palm: 0.5515, IoU.kitchen island: 0.1519, IoU.computer: 0.7839, IoU.swivel chair: 0.5289, IoU.boat: 0.5112, IoU.bar: 0.3624, IoU.arcade machine: 0.8402, IoU.hovel: 0.3953, IoU.bus: 0.9173, IoU.towel: 0.7575, IoU.light: 0.6219, IoU.truck: 0.4104, IoU.tower: 0.3193, IoU.chandelier: 0.7201, IoU.awning: 0.3416, IoU.streetlight: 0.4287, IoU.booth: 0.3732, IoU.television receiver: 0.8063, IoU.airplane: 0.6372, IoU.dirt track: 0.0219, IoU.apparel: 0.3544, IoU.pole: 0.3543, IoU.land: 0.0004, IoU.bannister: 0.1754, IoU.escalator: 0.5594, IoU.ottoman: 0.5584, IoU.bottle: 0.2782, IoU.buffet: 0.1201, IoU.poster: 0.3889, IoU.stage: 0.1645, IoU.van: 0.4963, IoU.ship: 0.1696, IoU.fountain: 0.1831, IoU.conveyer belt: 0.7082, IoU.canopy: 0.4493, IoU.washer: 0.5078, IoU.plaything: 0.3314, IoU.swimming pool: 0.4728, IoU.stool: 0.5306, IoU.barrel: 0.5955, IoU.basket: 0.4002, IoU.waterfall: 0.4389, IoU.tent: 0.9287, IoU.bag: 0.2218, IoU.minibike: 0.7261, IoU.cradle: 0.7908, IoU.oven: 0.2542, IoU.ball: 0.3023, IoU.food: 0.6418, IoU.step: 0.3018, IoU.tank: 0.4314, IoU.trade name: 0.2134, IoU.microwave: 0.4362, IoU.pot: 0.4590, IoU.animal: 0.7757, IoU.bicycle: 0.5926, IoU.lake: 0.0000, IoU.dishwasher: 0.8171, IoU.screen: 0.5730, IoU.blanket: 0.3061, IoU.sculpture: 0.5767, IoU.hood: 0.7795, IoU.sconce: 0.5810, IoU.vase: 0.4928, IoU.traffic light: 0.4596, IoU.tray: 0.2099, IoU.ashcan: 0.4998, IoU.fan: 0.6956, IoU.pier: 0.0000, IoU.crt screen: 0.0476, IoU.plate: 0.6334, IoU.monitor: 0.0197, IoU.bulletin board: 0.3890, IoU.shower: 0.1388, IoU.radiator: 0.6743, IoU.glass: 0.2577, IoU.clock: 0.3492, IoU.flag: 0.5020, Acc.wall: 0.8662, Acc.building: 0.9221, Acc.sky: 0.9753, Acc.floor: 0.9064, Acc.tree: 0.8662, Acc.ceiling: 0.9390, Acc.road: 0.9230, Acc.bed : 0.9530, Acc.windowpane: 0.7772, Acc.grass: 0.8206, Acc.cabinet: 0.7758, Acc.sidewalk: 0.8306, Acc.person: 0.9322, Acc.earth: 0.4477, Acc.door: 0.7153, Acc.table: 0.8340, Acc.mountain: 0.9035, Acc.plant: 0.7454, Acc.curtain: 0.9162, Acc.chair: 0.7625, Acc.car: 0.9335, Acc.water: 0.6930, Acc.painting: 0.8953, Acc.sofa: 0.8916, Acc.shelf: 0.7085, Acc.house: 0.6296, Acc.sea: 0.9058, Acc.mirror: 0.8487, Acc.rug: 0.8521, Acc.field: 0.6475, Acc.armchair: 0.7162, Acc.seat: 0.8564, Acc.fence: 0.7083, Acc.desk: 0.7520, Acc.rock: 0.3855, Acc.wardrobe: 0.7671, Acc.lamp: 0.8269, Acc.bathtub: 0.9087, Acc.railing: 0.6494, Acc.cushion: 0.7342, Acc.base: 0.5234, Acc.box: 0.5254, Acc.column: 0.7616, Acc.signboard: 0.6358, Acc.chest of drawers: 0.5732, Acc.counter: 0.3930, Acc.sand: 0.5192, Acc.sink: 0.8411, Acc.skyscraper: 0.4981, Acc.fireplace: 0.9186, Acc.refrigerator: 0.8957, Acc.grandstand: 0.7443, Acc.path: 0.2746, Acc.stairs: 0.3475, Acc.runway: 0.8320, Acc.case: 0.8143, Acc.pool table: 0.9765, Acc.pillow: 0.8179, Acc.screen door: 0.9511, Acc.stairway: 0.5472, Acc.river: 0.1339, Acc.bridge: 0.8965, Acc.bookcase: 0.4896, Acc.blind: 0.7396, Acc.coffee table: 0.8372, Acc.toilet: 0.9218, Acc.flower: 0.5992, Acc.book: 0.7672, Acc.hill: 0.1064, Acc.bench: 0.7459, Acc.countertop: 0.6774, Acc.stove: 0.8518, Acc.palm: 0.7469, Acc.kitchen island: 0.2140, Acc.computer: 0.8684, Acc.swivel chair: 0.7034, Acc.boat: 0.5817, Acc.bar: 0.4459, Acc.arcade machine: 0.9788, Acc.hovel: 0.4785, Acc.bus: 0.9764, Acc.towel: 0.9437, Acc.light: 0.7564, Acc.truck: 0.6257, Acc.tower: 0.5331, Acc.chandelier: 0.8534, Acc.awning: 0.5368, Acc.streetlight: 0.6426, Acc.booth: 0.4069, Acc.television receiver: 0.9084, Acc.airplane: 0.7200, Acc.dirt track: 0.0231, Acc.apparel: 0.6442, Acc.pole: 0.6052, Acc.land: 0.0004, Acc.bannister: 0.3374, Acc.escalator: 0.7154, Acc.ottoman: 0.7580, Acc.bottle: 0.3884, Acc.buffet: 0.1674, Acc.poster: 0.4910, Acc.stage: 0.3006, Acc.van: 0.7685, Acc.ship: 0.2412, Acc.fountain: 0.2283, Acc.conveyer belt: 0.9118, Acc.canopy: 0.7665, Acc.washer: 0.7496, Acc.plaything: 0.5556, Acc.swimming pool: 0.7295, Acc.stool: 0.6876, Acc.barrel: 0.7430, Acc.basket: 0.6566, Acc.waterfall: 0.5902, Acc.tent: 0.9820, Acc.bag: 0.3150, Acc.minibike: 0.8830, Acc.cradle: 0.9754, Acc.oven: 0.7228, Acc.ball: 0.3545, Acc.food: 0.8035, Acc.step: 0.4689, Acc.tank: 0.4675, Acc.trade name: 0.2526, Acc.microwave: 0.4917, Acc.pot: 0.5662, Acc.animal: 0.8042, Acc.bicycle: 0.8491, Acc.lake: 0.0000, Acc.dishwasher: 0.8984, Acc.screen: 0.9469, Acc.blanket: 0.4265, Acc.sculpture: 0.9284, Acc.hood: 0.9427, Acc.sconce: 0.7524, Acc.vase: 0.7983, Acc.traffic light: 0.6782, Acc.tray: 0.3640, Acc.ashcan: 0.6949, Acc.fan: 0.8089, Acc.pier: 0.0000, Acc.crt screen: 0.1174, Acc.plate: 0.7247, Acc.monitor: 0.0230, Acc.bulletin board: 0.5046, Acc.shower: 0.2787, Acc.radiator: 0.8255, Acc.glass: 0.3047, Acc.clock: 0.4464, Acc.flag: 0.5750 2023-11-22 02:11:16,309 - mmseg - INFO - Iter [30050/160000] lr: 7.736e-06, eta: 21:19:14, time: 0.961, data_time: 0.405, memory: 38143, decode.loss_cls: 0.5085, decode.loss_mask: 0.6178, decode.loss_dice: 0.9255, decode.d0.loss_cls: 1.8150, decode.d0.loss_mask: 0.6439, decode.d0.loss_dice: 1.0806, decode.d1.loss_cls: 0.6311, decode.d1.loss_mask: 0.6430, decode.d1.loss_dice: 0.9922, decode.d2.loss_cls: 0.5527, decode.d2.loss_mask: 0.6244, decode.d2.loss_dice: 0.9493, decode.d3.loss_cls: 0.5280, decode.d3.loss_mask: 0.6171, decode.d3.loss_dice: 0.9316, decode.d4.loss_cls: 0.5163, decode.d4.loss_mask: 0.6165, decode.d4.loss_dice: 0.9245, decode.d5.loss_cls: 0.5181, decode.d5.loss_mask: 0.6167, decode.d5.loss_dice: 0.9272, decode.d6.loss_cls: 0.5102, decode.d6.loss_mask: 0.6135, decode.d6.loss_dice: 0.9182, decode.d7.loss_cls: 0.5082, decode.d7.loss_mask: 0.6133, decode.d7.loss_dice: 0.9244, decode.d8.loss_cls: 0.5075, decode.d8.loss_mask: 0.6168, decode.d8.loss_dice: 0.9243, loss: 22.3164, grad_norm: 71.7250 2023-11-22 02:11:44,739 - mmseg - INFO - Iter [30100/160000] lr: 7.733e-06, eta: 21:18:40, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5014, decode.loss_mask: 0.6588, decode.loss_dice: 0.9519, decode.d0.loss_cls: 1.6857, decode.d0.loss_mask: 0.6892, decode.d0.loss_dice: 1.0929, decode.d1.loss_cls: 0.6172, decode.d1.loss_mask: 0.6867, decode.d1.loss_dice: 1.0172, decode.d2.loss_cls: 0.5507, decode.d2.loss_mask: 0.6719, decode.d2.loss_dice: 0.9739, decode.d3.loss_cls: 0.5186, decode.d3.loss_mask: 0.6647, decode.d3.loss_dice: 0.9552, decode.d4.loss_cls: 0.5157, decode.d4.loss_mask: 0.6626, decode.d4.loss_dice: 0.9648, decode.d5.loss_cls: 0.5077, decode.d5.loss_mask: 0.6646, decode.d5.loss_dice: 0.9576, decode.d6.loss_cls: 0.5050, decode.d6.loss_mask: 0.6587, decode.d6.loss_dice: 0.9460, decode.d7.loss_cls: 0.4989, decode.d7.loss_mask: 0.6606, decode.d7.loss_dice: 0.9580, decode.d8.loss_cls: 0.5033, decode.d8.loss_mask: 0.6606, decode.d8.loss_dice: 0.9539, loss: 22.8538, grad_norm: 75.3729 2023-11-22 02:12:13,287 - mmseg - INFO - Iter [30150/160000] lr: 7.730e-06, eta: 21:18:06, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4954, decode.loss_mask: 0.6670, decode.loss_dice: 0.9408, decode.d0.loss_cls: 1.7111, decode.d0.loss_mask: 0.6954, decode.d0.loss_dice: 1.0752, decode.d1.loss_cls: 0.6106, decode.d1.loss_mask: 0.6901, decode.d1.loss_dice: 0.9997, decode.d2.loss_cls: 0.5444, decode.d2.loss_mask: 0.6692, decode.d2.loss_dice: 0.9551, decode.d3.loss_cls: 0.5137, decode.d3.loss_mask: 0.6638, decode.d3.loss_dice: 0.9457, decode.d4.loss_cls: 0.4992, decode.d4.loss_mask: 0.6676, decode.d4.loss_dice: 0.9546, decode.d5.loss_cls: 0.4955, decode.d5.loss_mask: 0.6651, decode.d5.loss_dice: 0.9381, decode.d6.loss_cls: 0.4917, decode.d6.loss_mask: 0.6669, decode.d6.loss_dice: 0.9377, decode.d7.loss_cls: 0.4847, decode.d7.loss_mask: 0.6683, decode.d7.loss_dice: 0.9437, decode.d8.loss_cls: 0.4892, decode.d8.loss_mask: 0.6656, decode.d8.loss_dice: 0.9486, loss: 22.6934, grad_norm: 81.3935 2023-11-22 02:12:42,053 - mmseg - INFO - Iter [30200/160000] lr: 7.727e-06, eta: 21:17:33, time: 0.575, data_time: 0.015, memory: 38143, decode.loss_cls: 0.5129, decode.loss_mask: 0.6507, decode.loss_dice: 0.9484, decode.d0.loss_cls: 1.7253, decode.d0.loss_mask: 0.6829, decode.d0.loss_dice: 1.1149, decode.d1.loss_cls: 0.6440, decode.d1.loss_mask: 0.6787, decode.d1.loss_dice: 1.0130, decode.d2.loss_cls: 0.5648, decode.d2.loss_mask: 0.6649, decode.d2.loss_dice: 0.9764, decode.d3.loss_cls: 0.5328, decode.d3.loss_mask: 0.6583, decode.d3.loss_dice: 0.9557, decode.d4.loss_cls: 0.5276, decode.d4.loss_mask: 0.6575, decode.d4.loss_dice: 0.9560, decode.d5.loss_cls: 0.5150, decode.d5.loss_mask: 0.6589, decode.d5.loss_dice: 0.9564, decode.d6.loss_cls: 0.5116, decode.d6.loss_mask: 0.6557, decode.d6.loss_dice: 0.9490, decode.d7.loss_cls: 0.5042, decode.d7.loss_mask: 0.6543, decode.d7.loss_dice: 0.9484, decode.d8.loss_cls: 0.5117, decode.d8.loss_mask: 0.6534, decode.d8.loss_dice: 0.9461, loss: 22.9295, grad_norm: 74.8080 2023-11-22 02:13:10,419 - mmseg - INFO - Iter [30250/160000] lr: 7.724e-06, eta: 21:16:59, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5214, decode.loss_mask: 0.6377, decode.loss_dice: 0.9329, decode.d0.loss_cls: 1.7300, decode.d0.loss_mask: 0.6795, decode.d0.loss_dice: 1.0896, decode.d1.loss_cls: 0.6430, decode.d1.loss_mask: 0.6643, decode.d1.loss_dice: 1.0006, decode.d2.loss_cls: 0.5716, decode.d2.loss_mask: 0.6502, decode.d2.loss_dice: 0.9642, decode.d3.loss_cls: 0.5439, decode.d3.loss_mask: 0.6467, decode.d3.loss_dice: 0.9401, decode.d4.loss_cls: 0.5323, decode.d4.loss_mask: 0.6464, decode.d4.loss_dice: 0.9416, decode.d5.loss_cls: 0.5278, decode.d5.loss_mask: 0.6403, decode.d5.loss_dice: 0.9382, decode.d6.loss_cls: 0.5189, decode.d6.loss_mask: 0.6385, decode.d6.loss_dice: 0.9323, decode.d7.loss_cls: 0.5215, decode.d7.loss_mask: 0.6388, decode.d7.loss_dice: 0.9346, decode.d8.loss_cls: 0.5201, decode.d8.loss_mask: 0.6366, decode.d8.loss_dice: 0.9314, loss: 22.7148, grad_norm: 72.9981 2023-11-22 02:13:38,870 - mmseg - INFO - Iter [30300/160000] lr: 7.721e-06, eta: 21:16:25, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5296, decode.loss_mask: 0.6574, decode.loss_dice: 0.9475, decode.d0.loss_cls: 1.7474, decode.d0.loss_mask: 0.6939, decode.d0.loss_dice: 1.1015, decode.d1.loss_cls: 0.6352, decode.d1.loss_mask: 0.6834, decode.d1.loss_dice: 1.0242, decode.d2.loss_cls: 0.5685, decode.d2.loss_mask: 0.6629, decode.d2.loss_dice: 0.9827, decode.d3.loss_cls: 0.5455, decode.d3.loss_mask: 0.6553, decode.d3.loss_dice: 0.9548, decode.d4.loss_cls: 0.5378, decode.d4.loss_mask: 0.6594, decode.d4.loss_dice: 0.9541, decode.d5.loss_cls: 0.5330, decode.d5.loss_mask: 0.6610, decode.d5.loss_dice: 0.9638, decode.d6.loss_cls: 0.5252, decode.d6.loss_mask: 0.6547, decode.d6.loss_dice: 0.9487, decode.d7.loss_cls: 0.5214, decode.d7.loss_mask: 0.6566, decode.d7.loss_dice: 0.9569, decode.d8.loss_cls: 0.5267, decode.d8.loss_mask: 0.6562, decode.d8.loss_dice: 0.9505, loss: 23.0956, grad_norm: 77.1708 2023-11-22 02:14:09,534 - mmseg - INFO - Iter [30350/160000] lr: 7.718e-06, eta: 21:16:00, time: 0.613, data_time: 0.058, memory: 38143, decode.loss_cls: 0.4648, decode.loss_mask: 0.6301, decode.loss_dice: 0.8957, decode.d0.loss_cls: 1.6896, decode.d0.loss_mask: 0.6623, decode.d0.loss_dice: 1.0339, decode.d1.loss_cls: 0.5840, decode.d1.loss_mask: 0.6524, decode.d1.loss_dice: 0.9559, decode.d2.loss_cls: 0.5071, decode.d2.loss_mask: 0.6439, decode.d2.loss_dice: 0.9213, decode.d3.loss_cls: 0.4811, decode.d3.loss_mask: 0.6372, decode.d3.loss_dice: 0.9011, decode.d4.loss_cls: 0.4764, decode.d4.loss_mask: 0.6327, decode.d4.loss_dice: 0.9044, decode.d5.loss_cls: 0.4716, decode.d5.loss_mask: 0.6364, decode.d5.loss_dice: 0.8963, decode.d6.loss_cls: 0.4672, decode.d6.loss_mask: 0.6318, decode.d6.loss_dice: 0.8920, decode.d7.loss_cls: 0.4625, decode.d7.loss_mask: 0.6316, decode.d7.loss_dice: 0.8950, decode.d8.loss_cls: 0.4700, decode.d8.loss_mask: 0.6326, decode.d8.loss_dice: 0.8964, loss: 21.6572, grad_norm: 71.8254 2023-11-22 02:14:37,804 - mmseg - INFO - Iter [30400/160000] lr: 7.715e-06, eta: 21:15:25, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4998, decode.loss_mask: 0.6505, decode.loss_dice: 0.9199, decode.d0.loss_cls: 1.7513, decode.d0.loss_mask: 0.6866, decode.d0.loss_dice: 1.0737, decode.d1.loss_cls: 0.6121, decode.d1.loss_mask: 0.6752, decode.d1.loss_dice: 0.9834, decode.d2.loss_cls: 0.5478, decode.d2.loss_mask: 0.6567, decode.d2.loss_dice: 0.9443, decode.d3.loss_cls: 0.5265, decode.d3.loss_mask: 0.6475, decode.d3.loss_dice: 0.9248, decode.d4.loss_cls: 0.5143, decode.d4.loss_mask: 0.6457, decode.d4.loss_dice: 0.9203, decode.d5.loss_cls: 0.5039, decode.d5.loss_mask: 0.6481, decode.d5.loss_dice: 0.9279, decode.d6.loss_cls: 0.5013, decode.d6.loss_mask: 0.6437, decode.d6.loss_dice: 0.9198, decode.d7.loss_cls: 0.4947, decode.d7.loss_mask: 0.6464, decode.d7.loss_dice: 0.9222, decode.d8.loss_cls: 0.4986, decode.d8.loss_mask: 0.6476, decode.d8.loss_dice: 0.9229, loss: 22.4574, grad_norm: 74.0405 2023-11-22 02:15:06,168 - mmseg - INFO - Iter [30450/160000] lr: 7.712e-06, eta: 21:14:51, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4748, decode.loss_mask: 0.6063, decode.loss_dice: 0.8811, decode.d0.loss_cls: 1.6967, decode.d0.loss_mask: 0.6347, decode.d0.loss_dice: 1.0363, decode.d1.loss_cls: 0.5754, decode.d1.loss_mask: 0.6311, decode.d1.loss_dice: 0.9586, decode.d2.loss_cls: 0.5176, decode.d2.loss_mask: 0.6239, decode.d2.loss_dice: 0.9129, decode.d3.loss_cls: 0.4978, decode.d3.loss_mask: 0.6140, decode.d3.loss_dice: 0.8887, decode.d4.loss_cls: 0.4795, decode.d4.loss_mask: 0.6121, decode.d4.loss_dice: 0.8913, decode.d5.loss_cls: 0.4786, decode.d5.loss_mask: 0.6071, decode.d5.loss_dice: 0.8881, decode.d6.loss_cls: 0.4799, decode.d6.loss_mask: 0.6087, decode.d6.loss_dice: 0.8814, decode.d7.loss_cls: 0.4799, decode.d7.loss_mask: 0.6082, decode.d7.loss_dice: 0.8882, decode.d8.loss_cls: 0.4714, decode.d8.loss_mask: 0.6109, decode.d8.loss_dice: 0.8886, loss: 21.4238, grad_norm: 72.2824 2023-11-22 02:15:34,997 - mmseg - INFO - Iter [30500/160000] lr: 7.709e-06, eta: 21:14:18, time: 0.577, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4833, decode.loss_mask: 0.6395, decode.loss_dice: 0.9226, decode.d0.loss_cls: 1.7197, decode.d0.loss_mask: 0.6772, decode.d0.loss_dice: 1.0832, decode.d1.loss_cls: 0.6068, decode.d1.loss_mask: 0.6714, decode.d1.loss_dice: 0.9892, decode.d2.loss_cls: 0.5344, decode.d2.loss_mask: 0.6492, decode.d2.loss_dice: 0.9510, decode.d3.loss_cls: 0.5099, decode.d3.loss_mask: 0.6408, decode.d3.loss_dice: 0.9297, decode.d4.loss_cls: 0.4956, decode.d4.loss_mask: 0.6415, decode.d4.loss_dice: 0.9246, decode.d5.loss_cls: 0.4929, decode.d5.loss_mask: 0.6428, decode.d5.loss_dice: 0.9155, decode.d6.loss_cls: 0.4906, decode.d6.loss_mask: 0.6385, decode.d6.loss_dice: 0.9121, decode.d7.loss_cls: 0.4805, decode.d7.loss_mask: 0.6394, decode.d7.loss_dice: 0.9218, decode.d8.loss_cls: 0.4832, decode.d8.loss_mask: 0.6402, decode.d8.loss_dice: 0.9235, loss: 22.2508, grad_norm: 75.9716 2023-11-22 02:16:03,400 - mmseg - INFO - Iter [30550/160000] lr: 7.706e-06, eta: 21:13:44, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5099, decode.loss_mask: 0.6510, decode.loss_dice: 0.9312, decode.d0.loss_cls: 1.7455, decode.d0.loss_mask: 0.6880, decode.d0.loss_dice: 1.0914, decode.d1.loss_cls: 0.6299, decode.d1.loss_mask: 0.6717, decode.d1.loss_dice: 1.0023, decode.d2.loss_cls: 0.5521, decode.d2.loss_mask: 0.6629, decode.d2.loss_dice: 0.9623, decode.d3.loss_cls: 0.5410, decode.d3.loss_mask: 0.6561, decode.d3.loss_dice: 0.9392, decode.d4.loss_cls: 0.5310, decode.d4.loss_mask: 0.6543, decode.d4.loss_dice: 0.9358, decode.d5.loss_cls: 0.5204, decode.d5.loss_mask: 0.6551, decode.d5.loss_dice: 0.9346, decode.d6.loss_cls: 0.5109, decode.d6.loss_mask: 0.6526, decode.d6.loss_dice: 0.9270, decode.d7.loss_cls: 0.5116, decode.d7.loss_mask: 0.6532, decode.d7.loss_dice: 0.9351, decode.d8.loss_cls: 0.5109, decode.d8.loss_mask: 0.6521, decode.d8.loss_dice: 0.9322, loss: 22.7515, grad_norm: 71.3214 2023-11-22 02:16:31,837 - mmseg - INFO - Iter [30600/160000] lr: 7.703e-06, eta: 21:13:10, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4965, decode.loss_mask: 0.6350, decode.loss_dice: 0.9179, decode.d0.loss_cls: 1.7422, decode.d0.loss_mask: 0.6814, decode.d0.loss_dice: 1.0721, decode.d1.loss_cls: 0.6127, decode.d1.loss_mask: 0.6708, decode.d1.loss_dice: 0.9928, decode.d2.loss_cls: 0.5440, decode.d2.loss_mask: 0.6480, decode.d2.loss_dice: 0.9505, decode.d3.loss_cls: 0.5237, decode.d3.loss_mask: 0.6385, decode.d3.loss_dice: 0.9306, decode.d4.loss_cls: 0.5147, decode.d4.loss_mask: 0.6370, decode.d4.loss_dice: 0.9275, decode.d5.loss_cls: 0.5146, decode.d5.loss_mask: 0.6333, decode.d5.loss_dice: 0.9183, decode.d6.loss_cls: 0.5002, decode.d6.loss_mask: 0.6388, decode.d6.loss_dice: 0.9139, decode.d7.loss_cls: 0.4957, decode.d7.loss_mask: 0.6401, decode.d7.loss_dice: 0.9150, decode.d8.loss_cls: 0.4943, decode.d8.loss_mask: 0.6320, decode.d8.loss_dice: 0.9162, loss: 22.3485, grad_norm: 70.9869 2023-11-22 02:17:00,312 - mmseg - INFO - Iter [30650/160000] lr: 7.700e-06, eta: 21:12:36, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4884, decode.loss_mask: 0.6252, decode.loss_dice: 0.8923, decode.d0.loss_cls: 1.7567, decode.d0.loss_mask: 0.6691, decode.d0.loss_dice: 1.0421, decode.d1.loss_cls: 0.6017, decode.d1.loss_mask: 0.6589, decode.d1.loss_dice: 0.9595, decode.d2.loss_cls: 0.5273, decode.d2.loss_mask: 0.6422, decode.d2.loss_dice: 0.9222, decode.d3.loss_cls: 0.4997, decode.d3.loss_mask: 0.6320, decode.d3.loss_dice: 0.9100, decode.d4.loss_cls: 0.4989, decode.d4.loss_mask: 0.6259, decode.d4.loss_dice: 0.9008, decode.d5.loss_cls: 0.4892, decode.d5.loss_mask: 0.6300, decode.d5.loss_dice: 0.9002, decode.d6.loss_cls: 0.4866, decode.d6.loss_mask: 0.6341, decode.d6.loss_dice: 0.8974, decode.d7.loss_cls: 0.4835, decode.d7.loss_mask: 0.6308, decode.d7.loss_dice: 0.8956, decode.d8.loss_cls: 0.4873, decode.d8.loss_mask: 0.6274, decode.d8.loss_dice: 0.9010, loss: 21.9161, grad_norm: 69.3458 2023-11-22 02:17:28,713 - mmseg - INFO - Iter [30700/160000] lr: 7.697e-06, eta: 21:12:02, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5320, decode.loss_mask: 0.6316, decode.loss_dice: 0.9214, decode.d0.loss_cls: 1.7955, decode.d0.loss_mask: 0.6682, decode.d0.loss_dice: 1.0848, decode.d1.loss_cls: 0.6440, decode.d1.loss_mask: 0.6580, decode.d1.loss_dice: 1.0009, decode.d2.loss_cls: 0.5737, decode.d2.loss_mask: 0.6474, decode.d2.loss_dice: 0.9513, decode.d3.loss_cls: 0.5560, decode.d3.loss_mask: 0.6309, decode.d3.loss_dice: 0.9326, decode.d4.loss_cls: 0.5447, decode.d4.loss_mask: 0.6328, decode.d4.loss_dice: 0.9264, decode.d5.loss_cls: 0.5406, decode.d5.loss_mask: 0.6352, decode.d5.loss_dice: 0.9208, decode.d6.loss_cls: 0.5338, decode.d6.loss_mask: 0.6322, decode.d6.loss_dice: 0.9210, decode.d7.loss_cls: 0.5337, decode.d7.loss_mask: 0.6297, decode.d7.loss_dice: 0.9217, decode.d8.loss_cls: 0.5313, decode.d8.loss_mask: 0.6347, decode.d8.loss_dice: 0.9257, loss: 22.6923, grad_norm: 73.9183 2023-11-22 02:17:57,215 - mmseg - INFO - Iter [30750/160000] lr: 7.694e-06, eta: 21:11:28, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5356, decode.loss_mask: 0.6427, decode.loss_dice: 0.9681, decode.d0.loss_cls: 1.7358, decode.d0.loss_mask: 0.6837, decode.d0.loss_dice: 1.1337, decode.d1.loss_cls: 0.6561, decode.d1.loss_mask: 0.6711, decode.d1.loss_dice: 1.0412, decode.d2.loss_cls: 0.5875, decode.d2.loss_mask: 0.6535, decode.d2.loss_dice: 1.0005, decode.d3.loss_cls: 0.5586, decode.d3.loss_mask: 0.6457, decode.d3.loss_dice: 0.9692, decode.d4.loss_cls: 0.5471, decode.d4.loss_mask: 0.6439, decode.d4.loss_dice: 0.9741, decode.d5.loss_cls: 0.5495, decode.d5.loss_mask: 0.6435, decode.d5.loss_dice: 0.9719, decode.d6.loss_cls: 0.5425, decode.d6.loss_mask: 0.6427, decode.d6.loss_dice: 0.9723, decode.d7.loss_cls: 0.5364, decode.d7.loss_mask: 0.6411, decode.d7.loss_dice: 0.9706, decode.d8.loss_cls: 0.5359, decode.d8.loss_mask: 0.6424, decode.d8.loss_dice: 0.9716, loss: 23.2686, grad_norm: 74.1567 2023-11-22 02:18:26,095 - mmseg - INFO - Iter [30800/160000] lr: 7.691e-06, eta: 21:10:56, time: 0.578, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5239, decode.loss_mask: 0.6319, decode.loss_dice: 0.9498, decode.d0.loss_cls: 1.7822, decode.d0.loss_mask: 0.6825, decode.d0.loss_dice: 1.1230, decode.d1.loss_cls: 0.6543, decode.d1.loss_mask: 0.6641, decode.d1.loss_dice: 1.0333, decode.d2.loss_cls: 0.5824, decode.d2.loss_mask: 0.6485, decode.d2.loss_dice: 0.9809, decode.d3.loss_cls: 0.5552, decode.d3.loss_mask: 0.6385, decode.d3.loss_dice: 0.9600, decode.d4.loss_cls: 0.5392, decode.d4.loss_mask: 0.6381, decode.d4.loss_dice: 0.9591, decode.d5.loss_cls: 0.5340, decode.d5.loss_mask: 0.6371, decode.d5.loss_dice: 0.9604, decode.d6.loss_cls: 0.5321, decode.d6.loss_mask: 0.6332, decode.d6.loss_dice: 0.9510, decode.d7.loss_cls: 0.5306, decode.d7.loss_mask: 0.6341, decode.d7.loss_dice: 0.9532, decode.d8.loss_cls: 0.5275, decode.d8.loss_mask: 0.6360, decode.d8.loss_dice: 0.9530, loss: 23.0290, grad_norm: 72.9018 2023-11-22 02:18:54,490 - mmseg - INFO - Iter [30850/160000] lr: 7.688e-06, eta: 21:10:21, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5011, decode.loss_mask: 0.6555, decode.loss_dice: 0.9332, decode.d0.loss_cls: 1.7230, decode.d0.loss_mask: 0.6869, decode.d0.loss_dice: 1.0955, decode.d1.loss_cls: 0.6239, decode.d1.loss_mask: 0.6853, decode.d1.loss_dice: 1.0042, decode.d2.loss_cls: 0.5527, decode.d2.loss_mask: 0.6679, decode.d2.loss_dice: 0.9602, decode.d3.loss_cls: 0.5278, decode.d3.loss_mask: 0.6613, decode.d3.loss_dice: 0.9424, decode.d4.loss_cls: 0.5138, decode.d4.loss_mask: 0.6610, decode.d4.loss_dice: 0.9495, decode.d5.loss_cls: 0.5079, decode.d5.loss_mask: 0.6646, decode.d5.loss_dice: 0.9433, decode.d6.loss_cls: 0.5068, decode.d6.loss_mask: 0.6583, decode.d6.loss_dice: 0.9314, decode.d7.loss_cls: 0.5004, decode.d7.loss_mask: 0.6571, decode.d7.loss_dice: 0.9329, decode.d8.loss_cls: 0.4936, decode.d8.loss_mask: 0.6589, decode.d8.loss_dice: 0.9345, loss: 22.7347, grad_norm: 75.4868 2023-11-22 02:19:23,067 - mmseg - INFO - Iter [30900/160000] lr: 7.685e-06, eta: 21:09:48, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5122, decode.loss_mask: 0.6533, decode.loss_dice: 0.9501, decode.d0.loss_cls: 1.7767, decode.d0.loss_mask: 0.6938, decode.d0.loss_dice: 1.1092, decode.d1.loss_cls: 0.6308, decode.d1.loss_mask: 0.6846, decode.d1.loss_dice: 1.0206, decode.d2.loss_cls: 0.5637, decode.d2.loss_mask: 0.6674, decode.d2.loss_dice: 0.9789, decode.d3.loss_cls: 0.5331, decode.d3.loss_mask: 0.6644, decode.d3.loss_dice: 0.9600, decode.d4.loss_cls: 0.5264, decode.d4.loss_mask: 0.6588, decode.d4.loss_dice: 0.9619, decode.d5.loss_cls: 0.5212, decode.d5.loss_mask: 0.6625, decode.d5.loss_dice: 0.9546, decode.d6.loss_cls: 0.5058, decode.d6.loss_mask: 0.6619, decode.d6.loss_dice: 0.9540, decode.d7.loss_cls: 0.5059, decode.d7.loss_mask: 0.6592, decode.d7.loss_dice: 0.9554, decode.d8.loss_cls: 0.5084, decode.d8.loss_mask: 0.6636, decode.d8.loss_dice: 0.9511, loss: 23.0495, grad_norm: 79.0857 2023-11-22 02:19:51,379 - mmseg - INFO - Iter [30950/160000] lr: 7.682e-06, eta: 21:09:14, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5188, decode.loss_mask: 0.6380, decode.loss_dice: 0.9176, decode.d0.loss_cls: 1.7239, decode.d0.loss_mask: 0.6726, decode.d0.loss_dice: 1.0706, decode.d1.loss_cls: 0.6295, decode.d1.loss_mask: 0.6642, decode.d1.loss_dice: 0.9875, decode.d2.loss_cls: 0.5669, decode.d2.loss_mask: 0.6454, decode.d2.loss_dice: 0.9453, decode.d3.loss_cls: 0.5398, decode.d3.loss_mask: 0.6417, decode.d3.loss_dice: 0.9301, decode.d4.loss_cls: 0.5304, decode.d4.loss_mask: 0.6371, decode.d4.loss_dice: 0.9263, decode.d5.loss_cls: 0.5255, decode.d5.loss_mask: 0.6371, decode.d5.loss_dice: 0.9264, decode.d6.loss_cls: 0.5237, decode.d6.loss_mask: 0.6361, decode.d6.loss_dice: 0.9215, decode.d7.loss_cls: 0.5207, decode.d7.loss_mask: 0.6362, decode.d7.loss_dice: 0.9191, decode.d8.loss_cls: 0.5210, decode.d8.loss_mask: 0.6340, decode.d8.loss_dice: 0.9195, loss: 22.5064, grad_norm: 79.2284 2023-11-22 02:20:19,727 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 02:20:19,727 - mmseg - INFO - Iter [31000/160000] lr: 7.679e-06, eta: 21:08:39, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5239, decode.loss_mask: 0.6260, decode.loss_dice: 0.9400, decode.d0.loss_cls: 1.7712, decode.d0.loss_mask: 0.6630, decode.d0.loss_dice: 1.0965, decode.d1.loss_cls: 0.6515, decode.d1.loss_mask: 0.6487, decode.d1.loss_dice: 1.0036, decode.d2.loss_cls: 0.5774, decode.d2.loss_mask: 0.6406, decode.d2.loss_dice: 0.9672, decode.d3.loss_cls: 0.5475, decode.d3.loss_mask: 0.6284, decode.d3.loss_dice: 0.9520, decode.d4.loss_cls: 0.5452, decode.d4.loss_mask: 0.6269, decode.d4.loss_dice: 0.9471, decode.d5.loss_cls: 0.5363, decode.d5.loss_mask: 0.6263, decode.d5.loss_dice: 0.9440, decode.d6.loss_cls: 0.5341, decode.d6.loss_mask: 0.6232, decode.d6.loss_dice: 0.9337, decode.d7.loss_cls: 0.5244, decode.d7.loss_mask: 0.6255, decode.d7.loss_dice: 0.9393, decode.d8.loss_cls: 0.5206, decode.d8.loss_mask: 0.6287, decode.d8.loss_dice: 0.9351, loss: 22.7279, grad_norm: 69.3904 2023-11-22 02:20:48,110 - mmseg - INFO - Iter [31050/160000] lr: 7.676e-06, eta: 21:08:05, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5254, decode.loss_mask: 0.6251, decode.loss_dice: 0.9435, decode.d0.loss_cls: 1.6894, decode.d0.loss_mask: 0.6703, decode.d0.loss_dice: 1.1023, decode.d1.loss_cls: 0.6432, decode.d1.loss_mask: 0.6515, decode.d1.loss_dice: 1.0205, decode.d2.loss_cls: 0.5795, decode.d2.loss_mask: 0.6344, decode.d2.loss_dice: 0.9690, decode.d3.loss_cls: 0.5435, decode.d3.loss_mask: 0.6316, decode.d3.loss_dice: 0.9522, decode.d4.loss_cls: 0.5276, decode.d4.loss_mask: 0.6318, decode.d4.loss_dice: 0.9557, decode.d5.loss_cls: 0.5313, decode.d5.loss_mask: 0.6258, decode.d5.loss_dice: 0.9521, decode.d6.loss_cls: 0.5294, decode.d6.loss_mask: 0.6289, decode.d6.loss_dice: 0.9466, decode.d7.loss_cls: 0.5253, decode.d7.loss_mask: 0.6277, decode.d7.loss_dice: 0.9498, decode.d8.loss_cls: 0.5260, decode.d8.loss_mask: 0.6286, decode.d8.loss_dice: 0.9452, loss: 22.7133, grad_norm: 76.1808 2023-11-22 02:21:16,885 - mmseg - INFO - Iter [31100/160000] lr: 7.674e-06, eta: 21:07:33, time: 0.576, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4945, decode.loss_mask: 0.6420, decode.loss_dice: 0.9248, decode.d0.loss_cls: 1.7222, decode.d0.loss_mask: 0.6829, decode.d0.loss_dice: 1.0829, decode.d1.loss_cls: 0.6187, decode.d1.loss_mask: 0.6705, decode.d1.loss_dice: 0.9943, decode.d2.loss_cls: 0.5480, decode.d2.loss_mask: 0.6540, decode.d2.loss_dice: 0.9546, decode.d3.loss_cls: 0.5131, decode.d3.loss_mask: 0.6499, decode.d3.loss_dice: 0.9295, decode.d4.loss_cls: 0.5090, decode.d4.loss_mask: 0.6446, decode.d4.loss_dice: 0.9299, decode.d5.loss_cls: 0.5055, decode.d5.loss_mask: 0.6448, decode.d5.loss_dice: 0.9305, decode.d6.loss_cls: 0.5012, decode.d6.loss_mask: 0.6448, decode.d6.loss_dice: 0.9212, decode.d7.loss_cls: 0.4939, decode.d7.loss_mask: 0.6432, decode.d7.loss_dice: 0.9287, decode.d8.loss_cls: 0.4973, decode.d8.loss_mask: 0.6425, decode.d8.loss_dice: 0.9238, loss: 22.4427, grad_norm: 75.1084 2023-11-22 02:21:45,304 - mmseg - INFO - Iter [31150/160000] lr: 7.671e-06, eta: 21:06:59, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5489, decode.loss_mask: 0.6666, decode.loss_dice: 0.9468, decode.d0.loss_cls: 1.7756, decode.d0.loss_mask: 0.7095, decode.d0.loss_dice: 1.1050, decode.d1.loss_cls: 0.6709, decode.d1.loss_mask: 0.6923, decode.d1.loss_dice: 1.0143, decode.d2.loss_cls: 0.5955, decode.d2.loss_mask: 0.6763, decode.d2.loss_dice: 0.9781, decode.d3.loss_cls: 0.5709, decode.d3.loss_mask: 0.6688, decode.d3.loss_dice: 0.9525, decode.d4.loss_cls: 0.5639, decode.d4.loss_mask: 0.6688, decode.d4.loss_dice: 0.9557, decode.d5.loss_cls: 0.5569, decode.d5.loss_mask: 0.6695, decode.d5.loss_dice: 0.9460, decode.d6.loss_cls: 0.5515, decode.d6.loss_mask: 0.6698, decode.d6.loss_dice: 0.9411, decode.d7.loss_cls: 0.5494, decode.d7.loss_mask: 0.6688, decode.d7.loss_dice: 0.9451, decode.d8.loss_cls: 0.5469, decode.d8.loss_mask: 0.6697, decode.d8.loss_dice: 0.9463, loss: 23.4215, grad_norm: 75.3657 2023-11-22 02:22:13,768 - mmseg - INFO - Iter [31200/160000] lr: 7.668e-06, eta: 21:06:25, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4672, decode.loss_mask: 0.6362, decode.loss_dice: 0.9180, decode.d0.loss_cls: 1.6715, decode.d0.loss_mask: 0.6781, decode.d0.loss_dice: 1.0606, decode.d1.loss_cls: 0.5784, decode.d1.loss_mask: 0.6611, decode.d1.loss_dice: 0.9777, decode.d2.loss_cls: 0.5177, decode.d2.loss_mask: 0.6474, decode.d2.loss_dice: 0.9365, decode.d3.loss_cls: 0.4897, decode.d3.loss_mask: 0.6355, decode.d3.loss_dice: 0.9158, decode.d4.loss_cls: 0.4865, decode.d4.loss_mask: 0.6402, decode.d4.loss_dice: 0.9186, decode.d5.loss_cls: 0.4769, decode.d5.loss_mask: 0.6384, decode.d5.loss_dice: 0.9154, decode.d6.loss_cls: 0.4672, decode.d6.loss_mask: 0.6347, decode.d6.loss_dice: 0.9122, decode.d7.loss_cls: 0.4712, decode.d7.loss_mask: 0.6335, decode.d7.loss_dice: 0.9150, decode.d8.loss_cls: 0.4736, decode.d8.loss_mask: 0.6371, decode.d8.loss_dice: 0.9140, loss: 21.9259, grad_norm: 77.0478 2023-11-22 02:22:42,223 - mmseg - INFO - Iter [31250/160000] lr: 7.665e-06, eta: 21:05:51, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5277, decode.loss_mask: 0.6240, decode.loss_dice: 0.9203, decode.d0.loss_cls: 1.7808, decode.d0.loss_mask: 0.6717, decode.d0.loss_dice: 1.0903, decode.d1.loss_cls: 0.6617, decode.d1.loss_mask: 0.6499, decode.d1.loss_dice: 0.9945, decode.d2.loss_cls: 0.5702, decode.d2.loss_mask: 0.6358, decode.d2.loss_dice: 0.9578, decode.d3.loss_cls: 0.5441, decode.d3.loss_mask: 0.6310, decode.d3.loss_dice: 0.9352, decode.d4.loss_cls: 0.5398, decode.d4.loss_mask: 0.6280, decode.d4.loss_dice: 0.9325, decode.d5.loss_cls: 0.5321, decode.d5.loss_mask: 0.6278, decode.d5.loss_dice: 0.9354, decode.d6.loss_cls: 0.5263, decode.d6.loss_mask: 0.6213, decode.d6.loss_dice: 0.9213, decode.d7.loss_cls: 0.5216, decode.d7.loss_mask: 0.6216, decode.d7.loss_dice: 0.9230, decode.d8.loss_cls: 0.5235, decode.d8.loss_mask: 0.6248, decode.d8.loss_dice: 0.9257, loss: 22.5996, grad_norm: 71.2140 2023-11-22 02:23:10,777 - mmseg - INFO - Iter [31300/160000] lr: 7.662e-06, eta: 21:05:18, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5292, decode.loss_mask: 0.6498, decode.loss_dice: 0.9649, decode.d0.loss_cls: 1.7937, decode.d0.loss_mask: 0.6860, decode.d0.loss_dice: 1.1321, decode.d1.loss_cls: 0.6719, decode.d1.loss_mask: 0.6725, decode.d1.loss_dice: 1.0422, decode.d2.loss_cls: 0.5895, decode.d2.loss_mask: 0.6622, decode.d2.loss_dice: 0.9938, decode.d3.loss_cls: 0.5593, decode.d3.loss_mask: 0.6541, decode.d3.loss_dice: 0.9719, decode.d4.loss_cls: 0.5504, decode.d4.loss_mask: 0.6536, decode.d4.loss_dice: 0.9717, decode.d5.loss_cls: 0.5527, decode.d5.loss_mask: 0.6489, decode.d5.loss_dice: 0.9628, decode.d6.loss_cls: 0.5390, decode.d6.loss_mask: 0.6507, decode.d6.loss_dice: 0.9607, decode.d7.loss_cls: 0.5382, decode.d7.loss_mask: 0.6494, decode.d7.loss_dice: 0.9575, decode.d8.loss_cls: 0.5373, decode.d8.loss_mask: 0.6502, decode.d8.loss_dice: 0.9655, loss: 23.3617, grad_norm: 70.4793 2023-11-22 02:23:39,333 - mmseg - INFO - Iter [31350/160000] lr: 7.659e-06, eta: 21:04:44, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4838, decode.loss_mask: 0.6204, decode.loss_dice: 0.8817, decode.d0.loss_cls: 1.6937, decode.d0.loss_mask: 0.6559, decode.d0.loss_dice: 1.0344, decode.d1.loss_cls: 0.6057, decode.d1.loss_mask: 0.6461, decode.d1.loss_dice: 0.9416, decode.d2.loss_cls: 0.5233, decode.d2.loss_mask: 0.6384, decode.d2.loss_dice: 0.9174, decode.d3.loss_cls: 0.5009, decode.d3.loss_mask: 0.6207, decode.d3.loss_dice: 0.8932, decode.d4.loss_cls: 0.4908, decode.d4.loss_mask: 0.6222, decode.d4.loss_dice: 0.8955, decode.d5.loss_cls: 0.4857, decode.d5.loss_mask: 0.6238, decode.d5.loss_dice: 0.8930, decode.d6.loss_cls: 0.4821, decode.d6.loss_mask: 0.6230, decode.d6.loss_dice: 0.8875, decode.d7.loss_cls: 0.4854, decode.d7.loss_mask: 0.6235, decode.d7.loss_dice: 0.8853, decode.d8.loss_cls: 0.4784, decode.d8.loss_mask: 0.6220, decode.d8.loss_dice: 0.8922, loss: 21.6478, grad_norm: 71.1495 2023-11-22 02:24:07,905 - mmseg - INFO - Iter [31400/160000] lr: 7.656e-06, eta: 21:04:11, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5055, decode.loss_mask: 0.6520, decode.loss_dice: 0.9380, decode.d0.loss_cls: 1.6928, decode.d0.loss_mask: 0.6985, decode.d0.loss_dice: 1.1008, decode.d1.loss_cls: 0.6155, decode.d1.loss_mask: 0.6837, decode.d1.loss_dice: 1.0167, decode.d2.loss_cls: 0.5547, decode.d2.loss_mask: 0.6728, decode.d2.loss_dice: 0.9699, decode.d3.loss_cls: 0.5233, decode.d3.loss_mask: 0.6668, decode.d3.loss_dice: 0.9510, decode.d4.loss_cls: 0.5117, decode.d4.loss_mask: 0.6664, decode.d4.loss_dice: 0.9496, decode.d5.loss_cls: 0.5045, decode.d5.loss_mask: 0.6639, decode.d5.loss_dice: 0.9515, decode.d6.loss_cls: 0.5102, decode.d6.loss_mask: 0.6550, decode.d6.loss_dice: 0.9386, decode.d7.loss_cls: 0.4998, decode.d7.loss_mask: 0.6545, decode.d7.loss_dice: 0.9431, decode.d8.loss_cls: 0.5033, decode.d8.loss_mask: 0.6539, decode.d8.loss_dice: 0.9427, loss: 22.7904, grad_norm: 79.6497 2023-11-22 02:24:36,581 - mmseg - INFO - Iter [31450/160000] lr: 7.653e-06, eta: 21:03:38, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4691, decode.loss_mask: 0.6496, decode.loss_dice: 0.9436, decode.d0.loss_cls: 1.6703, decode.d0.loss_mask: 0.6962, decode.d0.loss_dice: 1.0941, decode.d1.loss_cls: 0.5872, decode.d1.loss_mask: 0.6814, decode.d1.loss_dice: 1.0052, decode.d2.loss_cls: 0.5164, decode.d2.loss_mask: 0.6656, decode.d2.loss_dice: 0.9714, decode.d3.loss_cls: 0.4876, decode.d3.loss_mask: 0.6563, decode.d3.loss_dice: 0.9499, decode.d4.loss_cls: 0.4822, decode.d4.loss_mask: 0.6516, decode.d4.loss_dice: 0.9496, decode.d5.loss_cls: 0.4740, decode.d5.loss_mask: 0.6552, decode.d5.loss_dice: 0.9485, decode.d6.loss_cls: 0.4639, decode.d6.loss_mask: 0.6541, decode.d6.loss_dice: 0.9441, decode.d7.loss_cls: 0.4690, decode.d7.loss_mask: 0.6508, decode.d7.loss_dice: 0.9423, decode.d8.loss_cls: 0.4637, decode.d8.loss_mask: 0.6529, decode.d8.loss_dice: 0.9417, loss: 22.3874, grad_norm: 75.2757 2023-11-22 02:25:04,905 - mmseg - INFO - Iter [31500/160000] lr: 7.650e-06, eta: 21:03:04, time: 0.568, data_time: 0.016, memory: 38143, decode.loss_cls: 0.4768, decode.loss_mask: 0.6363, decode.loss_dice: 0.9339, decode.d0.loss_cls: 1.6720, decode.d0.loss_mask: 0.6765, decode.d0.loss_dice: 1.0759, decode.d1.loss_cls: 0.5948, decode.d1.loss_mask: 0.6648, decode.d1.loss_dice: 0.9943, decode.d2.loss_cls: 0.5209, decode.d2.loss_mask: 0.6457, decode.d2.loss_dice: 0.9585, decode.d3.loss_cls: 0.5004, decode.d3.loss_mask: 0.6379, decode.d3.loss_dice: 0.9369, decode.d4.loss_cls: 0.4838, decode.d4.loss_mask: 0.6435, decode.d4.loss_dice: 0.9354, decode.d5.loss_cls: 0.4822, decode.d5.loss_mask: 0.6411, decode.d5.loss_dice: 0.9324, decode.d6.loss_cls: 0.4870, decode.d6.loss_mask: 0.6369, decode.d6.loss_dice: 0.9296, decode.d7.loss_cls: 0.4785, decode.d7.loss_mask: 0.6376, decode.d7.loss_dice: 0.9297, decode.d8.loss_cls: 0.4787, decode.d8.loss_mask: 0.6370, decode.d8.loss_dice: 0.9288, loss: 22.1880, grad_norm: 78.6227 2023-11-22 02:25:33,226 - mmseg - INFO - Iter [31550/160000] lr: 7.647e-06, eta: 21:02:30, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5175, decode.loss_mask: 0.6623, decode.loss_dice: 0.9423, decode.d0.loss_cls: 1.7347, decode.d0.loss_mask: 0.7065, decode.d0.loss_dice: 1.0935, decode.d1.loss_cls: 0.6275, decode.d1.loss_mask: 0.6905, decode.d1.loss_dice: 1.0119, decode.d2.loss_cls: 0.5610, decode.d2.loss_mask: 0.6727, decode.d2.loss_dice: 0.9642, decode.d3.loss_cls: 0.5312, decode.d3.loss_mask: 0.6688, decode.d3.loss_dice: 0.9498, decode.d4.loss_cls: 0.5245, decode.d4.loss_mask: 0.6714, decode.d4.loss_dice: 0.9487, decode.d5.loss_cls: 0.5165, decode.d5.loss_mask: 0.6634, decode.d5.loss_dice: 0.9466, decode.d6.loss_cls: 0.5100, decode.d6.loss_mask: 0.6660, decode.d6.loss_dice: 0.9414, decode.d7.loss_cls: 0.5177, decode.d7.loss_mask: 0.6624, decode.d7.loss_dice: 0.9422, decode.d8.loss_cls: 0.5184, decode.d8.loss_mask: 0.6640, decode.d8.loss_dice: 0.9452, loss: 22.9730, grad_norm: 73.0271 2023-11-22 02:26:03,877 - mmseg - INFO - Iter [31600/160000] lr: 7.644e-06, eta: 21:02:05, time: 0.613, data_time: 0.059, memory: 38143, decode.loss_cls: 0.4981, decode.loss_mask: 0.6356, decode.loss_dice: 0.9334, decode.d0.loss_cls: 1.7119, decode.d0.loss_mask: 0.6797, decode.d0.loss_dice: 1.0868, decode.d1.loss_cls: 0.6201, decode.d1.loss_mask: 0.6614, decode.d1.loss_dice: 1.0007, decode.d2.loss_cls: 0.5471, decode.d2.loss_mask: 0.6494, decode.d2.loss_dice: 0.9625, decode.d3.loss_cls: 0.5204, decode.d3.loss_mask: 0.6390, decode.d3.loss_dice: 0.9382, decode.d4.loss_cls: 0.5091, decode.d4.loss_mask: 0.6357, decode.d4.loss_dice: 0.9380, decode.d5.loss_cls: 0.5051, decode.d5.loss_mask: 0.6361, decode.d5.loss_dice: 0.9378, decode.d6.loss_cls: 0.5004, decode.d6.loss_mask: 0.6343, decode.d6.loss_dice: 0.9354, decode.d7.loss_cls: 0.4992, decode.d7.loss_mask: 0.6390, decode.d7.loss_dice: 0.9373, decode.d8.loss_cls: 0.4961, decode.d8.loss_mask: 0.6365, decode.d8.loss_dice: 0.9325, loss: 22.4571, grad_norm: 73.8273 2023-11-22 02:26:32,667 - mmseg - INFO - Iter [31650/160000] lr: 7.641e-06, eta: 21:01:33, time: 0.576, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4600, decode.loss_mask: 0.6418, decode.loss_dice: 0.9246, decode.d0.loss_cls: 1.6748, decode.d0.loss_mask: 0.6716, decode.d0.loss_dice: 1.0610, decode.d1.loss_cls: 0.5777, decode.d1.loss_mask: 0.6646, decode.d1.loss_dice: 0.9894, decode.d2.loss_cls: 0.5057, decode.d2.loss_mask: 0.6488, decode.d2.loss_dice: 0.9450, decode.d3.loss_cls: 0.4805, decode.d3.loss_mask: 0.6458, decode.d3.loss_dice: 0.9288, decode.d4.loss_cls: 0.4706, decode.d4.loss_mask: 0.6455, decode.d4.loss_dice: 0.9259, decode.d5.loss_cls: 0.4648, decode.d5.loss_mask: 0.6417, decode.d5.loss_dice: 0.9241, decode.d6.loss_cls: 0.4588, decode.d6.loss_mask: 0.6429, decode.d6.loss_dice: 0.9214, decode.d7.loss_cls: 0.4650, decode.d7.loss_mask: 0.6446, decode.d7.loss_dice: 0.9182, decode.d8.loss_cls: 0.4630, decode.d8.loss_mask: 0.6393, decode.d8.loss_dice: 0.9148, loss: 21.9610, grad_norm: 71.4088 2023-11-22 02:27:01,107 - mmseg - INFO - Iter [31700/160000] lr: 7.638e-06, eta: 21:00:59, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4677, decode.loss_mask: 0.6273, decode.loss_dice: 0.9065, decode.d0.loss_cls: 1.7036, decode.d0.loss_mask: 0.6644, decode.d0.loss_dice: 1.0480, decode.d1.loss_cls: 0.5848, decode.d1.loss_mask: 0.6576, decode.d1.loss_dice: 0.9760, decode.d2.loss_cls: 0.5106, decode.d2.loss_mask: 0.6421, decode.d2.loss_dice: 0.9391, decode.d3.loss_cls: 0.4906, decode.d3.loss_mask: 0.6305, decode.d3.loss_dice: 0.9192, decode.d4.loss_cls: 0.4777, decode.d4.loss_mask: 0.6323, decode.d4.loss_dice: 0.9212, decode.d5.loss_cls: 0.4726, decode.d5.loss_mask: 0.6315, decode.d5.loss_dice: 0.9187, decode.d6.loss_cls: 0.4694, decode.d6.loss_mask: 0.6321, decode.d6.loss_dice: 0.9137, decode.d7.loss_cls: 0.4692, decode.d7.loss_mask: 0.6322, decode.d7.loss_dice: 0.9123, decode.d8.loss_cls: 0.4701, decode.d8.loss_mask: 0.6298, decode.d8.loss_dice: 0.9123, loss: 21.8630, grad_norm: 75.2248 2023-11-22 02:27:29,751 - mmseg - INFO - Iter [31750/160000] lr: 7.635e-06, eta: 21:00:26, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4685, decode.loss_mask: 0.6218, decode.loss_dice: 0.8834, decode.d0.loss_cls: 1.6867, decode.d0.loss_mask: 0.6636, decode.d0.loss_dice: 1.0433, decode.d1.loss_cls: 0.5760, decode.d1.loss_mask: 0.6449, decode.d1.loss_dice: 0.9467, decode.d2.loss_cls: 0.5125, decode.d2.loss_mask: 0.6297, decode.d2.loss_dice: 0.9150, decode.d3.loss_cls: 0.4890, decode.d3.loss_mask: 0.6232, decode.d3.loss_dice: 0.8927, decode.d4.loss_cls: 0.4695, decode.d4.loss_mask: 0.6250, decode.d4.loss_dice: 0.8927, decode.d5.loss_cls: 0.4704, decode.d5.loss_mask: 0.6208, decode.d5.loss_dice: 0.8916, decode.d6.loss_cls: 0.4632, decode.d6.loss_mask: 0.6209, decode.d6.loss_dice: 0.8895, decode.d7.loss_cls: 0.4634, decode.d7.loss_mask: 0.6205, decode.d7.loss_dice: 0.8828, decode.d8.loss_cls: 0.4695, decode.d8.loss_mask: 0.6168, decode.d8.loss_dice: 0.8863, loss: 21.4802, grad_norm: 73.2031 2023-11-22 02:27:58,282 - mmseg - INFO - Iter [31800/160000] lr: 7.632e-06, eta: 20:59:53, time: 0.571, data_time: 0.015, memory: 38143, decode.loss_cls: 0.5184, decode.loss_mask: 0.6053, decode.loss_dice: 0.8988, decode.d0.loss_cls: 1.7935, decode.d0.loss_mask: 0.6415, decode.d0.loss_dice: 1.0545, decode.d1.loss_cls: 0.6431, decode.d1.loss_mask: 0.6261, decode.d1.loss_dice: 0.9556, decode.d2.loss_cls: 0.5620, decode.d2.loss_mask: 0.6161, decode.d2.loss_dice: 0.9272, decode.d3.loss_cls: 0.5316, decode.d3.loss_mask: 0.6072, decode.d3.loss_dice: 0.9089, decode.d4.loss_cls: 0.5271, decode.d4.loss_mask: 0.6085, decode.d4.loss_dice: 0.9094, decode.d5.loss_cls: 0.5208, decode.d5.loss_mask: 0.6089, decode.d5.loss_dice: 0.9059, decode.d6.loss_cls: 0.5191, decode.d6.loss_mask: 0.6058, decode.d6.loss_dice: 0.9026, decode.d7.loss_cls: 0.5198, decode.d7.loss_mask: 0.6012, decode.d7.loss_dice: 0.9017, decode.d8.loss_cls: 0.5151, decode.d8.loss_mask: 0.6040, decode.d8.loss_dice: 0.9009, loss: 22.0401, grad_norm: 72.5484 2023-11-22 02:28:26,625 - mmseg - INFO - Iter [31850/160000] lr: 7.629e-06, eta: 20:59:19, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5187, decode.loss_mask: 0.6338, decode.loss_dice: 0.9314, decode.d0.loss_cls: 1.7419, decode.d0.loss_mask: 0.6709, decode.d0.loss_dice: 1.0880, decode.d1.loss_cls: 0.6448, decode.d1.loss_mask: 0.6576, decode.d1.loss_dice: 0.9953, decode.d2.loss_cls: 0.5677, decode.d2.loss_mask: 0.6432, decode.d2.loss_dice: 0.9654, decode.d3.loss_cls: 0.5438, decode.d3.loss_mask: 0.6383, decode.d3.loss_dice: 0.9465, decode.d4.loss_cls: 0.5341, decode.d4.loss_mask: 0.6393, decode.d4.loss_dice: 0.9478, decode.d5.loss_cls: 0.5261, decode.d5.loss_mask: 0.6360, decode.d5.loss_dice: 0.9410, decode.d6.loss_cls: 0.5258, decode.d6.loss_mask: 0.6333, decode.d6.loss_dice: 0.9345, decode.d7.loss_cls: 0.5234, decode.d7.loss_mask: 0.6325, decode.d7.loss_dice: 0.9321, decode.d8.loss_cls: 0.5200, decode.d8.loss_mask: 0.6336, decode.d8.loss_dice: 0.9332, loss: 22.6799, grad_norm: 74.2057 2023-11-22 02:28:55,029 - mmseg - INFO - Iter [31900/160000] lr: 7.626e-06, eta: 20:58:45, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5020, decode.loss_mask: 0.6269, decode.loss_dice: 0.9182, decode.d0.loss_cls: 1.6806, decode.d0.loss_mask: 0.6639, decode.d0.loss_dice: 1.0708, decode.d1.loss_cls: 0.6140, decode.d1.loss_mask: 0.6501, decode.d1.loss_dice: 0.9811, decode.d2.loss_cls: 0.5451, decode.d2.loss_mask: 0.6283, decode.d2.loss_dice: 0.9454, decode.d3.loss_cls: 0.5202, decode.d3.loss_mask: 0.6282, decode.d3.loss_dice: 0.9216, decode.d4.loss_cls: 0.5030, decode.d4.loss_mask: 0.6317, decode.d4.loss_dice: 0.9254, decode.d5.loss_cls: 0.4995, decode.d5.loss_mask: 0.6260, decode.d5.loss_dice: 0.9279, decode.d6.loss_cls: 0.4906, decode.d6.loss_mask: 0.6294, decode.d6.loss_dice: 0.9153, decode.d7.loss_cls: 0.4923, decode.d7.loss_mask: 0.6275, decode.d7.loss_dice: 0.9192, decode.d8.loss_cls: 0.4927, decode.d8.loss_mask: 0.6274, decode.d8.loss_dice: 0.9195, loss: 22.1238, grad_norm: 70.6801 2023-11-22 02:29:23,858 - mmseg - INFO - Iter [31950/160000] lr: 7.623e-06, eta: 20:58:13, time: 0.577, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5045, decode.loss_mask: 0.6229, decode.loss_dice: 0.9264, decode.d0.loss_cls: 1.6979, decode.d0.loss_mask: 0.6672, decode.d0.loss_dice: 1.0720, decode.d1.loss_cls: 0.6332, decode.d1.loss_mask: 0.6432, decode.d1.loss_dice: 0.9859, decode.d2.loss_cls: 0.5518, decode.d2.loss_mask: 0.6355, decode.d2.loss_dice: 0.9602, decode.d3.loss_cls: 0.5284, decode.d3.loss_mask: 0.6261, decode.d3.loss_dice: 0.9348, decode.d4.loss_cls: 0.5217, decode.d4.loss_mask: 0.6256, decode.d4.loss_dice: 0.9438, decode.d5.loss_cls: 0.5129, decode.d5.loss_mask: 0.6267, decode.d5.loss_dice: 0.9382, decode.d6.loss_cls: 0.5086, decode.d6.loss_mask: 0.6244, decode.d6.loss_dice: 0.9322, decode.d7.loss_cls: 0.5082, decode.d7.loss_mask: 0.6246, decode.d7.loss_dice: 0.9283, decode.d8.loss_cls: 0.5074, decode.d8.loss_mask: 0.6202, decode.d8.loss_dice: 0.9299, loss: 22.3427, grad_norm: 75.1926 2023-11-22 02:29:52,187 - mmseg - INFO - Saving checkpoint at 32000 iterations 2023-11-22 02:30:00,580 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 02:30:00,581 - mmseg - INFO - Iter [32000/160000] lr: 7.620e-06, eta: 20:58:12, time: 0.735, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5091, decode.loss_mask: 0.6338, decode.loss_dice: 0.9028, decode.d0.loss_cls: 1.7115, decode.d0.loss_mask: 0.6803, decode.d0.loss_dice: 1.0561, decode.d1.loss_cls: 0.6210, decode.d1.loss_mask: 0.6616, decode.d1.loss_dice: 0.9790, decode.d2.loss_cls: 0.5574, decode.d2.loss_mask: 0.6443, decode.d2.loss_dice: 0.9345, decode.d3.loss_cls: 0.5306, decode.d3.loss_mask: 0.6375, decode.d3.loss_dice: 0.9194, decode.d4.loss_cls: 0.5128, decode.d4.loss_mask: 0.6378, decode.d4.loss_dice: 0.9183, decode.d5.loss_cls: 0.5132, decode.d5.loss_mask: 0.6355, decode.d5.loss_dice: 0.9127, decode.d6.loss_cls: 0.5086, decode.d6.loss_mask: 0.6363, decode.d6.loss_dice: 0.9051, decode.d7.loss_cls: 0.5081, decode.d7.loss_mask: 0.6359, decode.d7.loss_dice: 0.9063, decode.d8.loss_cls: 0.5037, decode.d8.loss_mask: 0.6334, decode.d8.loss_dice: 0.9032, loss: 22.2497, grad_norm: 73.0276 2023-11-22 02:30:20,275 - mmseg - INFO - per class results: 2023-11-22 02:30:20,281 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.48 | 87.97 | | building | 83.87 | 92.75 | | sky | 94.99 | 97.57 | | floor | 84.27 | 89.72 | | tree | 77.15 | 86.06 | | ceiling | 86.35 | 91.52 | | road | 86.75 | 90.35 | | bed | 91.7 | 95.21 | | windowpane | 62.12 | 85.23 | | grass | 68.6 | 81.59 | | cabinet | 62.12 | 79.22 | | sidewalk | 66.92 | 82.47 | | person | 86.2 | 92.94 | | earth | 34.73 | 48.33 | | door | 55.43 | 74.11 | | table | 66.15 | 81.43 | | mountain | 55.78 | 71.68 | | plant | 54.06 | 68.8 | | curtain | 74.38 | 83.46 | | chair | 65.25 | 78.7 | | car | 87.48 | 94.76 | | water | 58.97 | 78.7 | | painting | 72.7 | 91.47 | | sofa | 73.13 | 91.66 | | shelf | 43.59 | 55.77 | | house | 37.79 | 42.82 | | sea | 65.54 | 80.05 | | mirror | 71.94 | 82.68 | | rug | 68.39 | 82.4 | | field | 25.94 | 60.42 | | armchair | 48.17 | 64.25 | | seat | 62.62 | 84.21 | | fence | 48.39 | 63.89 | | desk | 47.47 | 70.69 | | rock | 48.09 | 71.78 | | wardrobe | 43.82 | 55.83 | | lamp | 70.63 | 82.25 | | bathtub | 83.0 | 91.38 | | railing | 38.73 | 69.36 | | cushion | 64.72 | 74.96 | | base | 35.91 | 47.8 | | box | 36.88 | 53.34 | | column | 54.55 | 70.7 | | signboard | 39.66 | 65.77 | | chest of drawers | 40.2 | 62.51 | | counter | 37.06 | 50.59 | | sand | 32.3 | 50.76 | | sink | 75.56 | 86.58 | | skyscraper | 34.03 | 42.87 | | fireplace | 75.15 | 89.41 | | refrigerator | 85.59 | 93.31 | | grandstand | 62.85 | 71.73 | | path | 25.82 | 39.37 | | stairs | 34.95 | 49.55 | | runway | 74.61 | 94.02 | | case | 67.51 | 81.53 | | pool table | 94.46 | 97.5 | | pillow | 63.33 | 85.3 | | screen door | 67.0 | 81.47 | | stairway | 29.44 | 54.09 | | river | 11.24 | 15.51 | | bridge | 75.93 | 84.78 | | bookcase | 33.03 | 57.1 | | blind | 41.7 | 47.61 | | coffee table | 65.56 | 87.27 | | toilet | 90.84 | 93.41 | | flower | 43.21 | 67.9 | | book | 51.85 | 78.72 | | hill | 6.95 | 9.62 | | bench | 59.88 | 77.46 | | countertop | 61.93 | 73.36 | | stove | 83.47 | 88.29 | | palm | 56.67 | 85.43 | | kitchen island | 45.69 | 76.65 | | computer | 78.61 | 87.37 | | swivel chair | 53.47 | 76.03 | | boat | 48.79 | 58.42 | | bar | 25.36 | 26.01 | | arcade machine | 77.95 | 82.31 | | hovel | 13.75 | 14.72 | | bus | 93.73 | 96.29 | | towel | 68.57 | 91.0 | | light | 63.48 | 78.32 | | truck | 44.3 | 56.51 | | tower | 14.33 | 23.86 | | chandelier | 69.37 | 87.91 | | awning | 32.32 | 61.47 | | streetlight | 43.01 | 72.2 | | booth | 36.79 | 37.28 | | television receiver | 79.08 | 88.34 | | airplane | 65.31 | 70.79 | | dirt track | 11.38 | 11.97 | | apparel | 30.66 | 51.82 | | pole | 34.81 | 56.94 | | land | 1.79 | 2.51 | | bannister | 11.92 | 19.14 | | escalator | 60.62 | 78.21 | | ottoman | 65.3 | 77.99 | | bottle | 37.66 | 51.31 | | buffet | 15.39 | 18.73 | | poster | 31.66 | 44.02 | | stage | 16.9 | 25.83 | | van | 30.21 | 39.0 | | ship | 6.8 | 9.72 | | fountain | 21.14 | 23.45 | | conveyer belt | 86.88 | 95.21 | | canopy | 32.33 | 44.3 | | washer | 63.61 | 75.67 | | plaything | 35.26 | 61.41 | | swimming pool | 41.55 | 45.05 | | stool | 54.32 | 73.41 | | barrel | 77.96 | 88.22 | | basket | 42.99 | 60.91 | | waterfall | 61.8 | 89.12 | | tent | 95.85 | 97.2 | | bag | 28.03 | 43.83 | | minibike | 71.9 | 87.88 | | cradle | 86.9 | 97.77 | | oven | 25.31 | 71.74 | | ball | 52.44 | 72.36 | | food | 71.78 | 90.17 | | step | 29.76 | 41.31 | | tank | 43.84 | 45.7 | | trade name | 26.13 | 35.56 | | microwave | 38.87 | 42.84 | | pot | 48.16 | 62.81 | | animal | 70.49 | 72.38 | | bicycle | 60.34 | 84.33 | | lake | 0.0 | 0.0 | | dishwasher | 80.04 | 89.57 | | screen | 51.3 | 89.76 | | blanket | 30.73 | 39.0 | | sculpture | 55.74 | 89.51 | | hood | 75.8 | 91.15 | | sconce | 55.3 | 79.07 | | vase | 48.26 | 76.76 | | traffic light | 43.96 | 69.97 | | tray | 18.05 | 29.53 | | ashcan | 49.38 | 76.91 | | fan | 65.01 | 86.29 | | pier | 29.23 | 30.96 | | crt screen | 4.56 | 12.82 | | plate | 59.81 | 80.44 | | monitor | 5.99 | 7.4 | | bulletin board | 51.53 | 71.03 | | shower | 15.57 | 27.15 | | radiator | 63.94 | 90.82 | | glass | 25.44 | 31.02 | | clock | 37.61 | 50.05 | | flag | 71.65 | 85.05 | +---------------------+-------+-------+ 2023-11-22 02:30:20,281 - mmseg - INFO - Summary: 2023-11-22 02:30:20,281 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.33 | 52.42 | 66.42 | +-------+-------+-------+ 2023-11-22 02:30:20,282 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 02:30:20,282 - mmseg - INFO - Iter(val) [250] aAcc: 0.8433, mIoU: 0.5242, mAcc: 0.6642, IoU.wall: 0.8048, IoU.building: 0.8387, IoU.sky: 0.9499, IoU.floor: 0.8427, IoU.tree: 0.7715, IoU.ceiling: 0.8635, IoU.road: 0.8675, IoU.bed : 0.9170, IoU.windowpane: 0.6212, IoU.grass: 0.6860, IoU.cabinet: 0.6212, IoU.sidewalk: 0.6692, IoU.person: 0.8620, IoU.earth: 0.3473, IoU.door: 0.5543, IoU.table: 0.6615, IoU.mountain: 0.5578, IoU.plant: 0.5406, IoU.curtain: 0.7438, IoU.chair: 0.6525, IoU.car: 0.8748, IoU.water: 0.5897, IoU.painting: 0.7270, IoU.sofa: 0.7313, IoU.shelf: 0.4359, IoU.house: 0.3779, IoU.sea: 0.6554, IoU.mirror: 0.7194, IoU.rug: 0.6839, IoU.field: 0.2594, IoU.armchair: 0.4817, IoU.seat: 0.6262, IoU.fence: 0.4839, IoU.desk: 0.4747, IoU.rock: 0.4809, IoU.wardrobe: 0.4382, IoU.lamp: 0.7063, IoU.bathtub: 0.8300, IoU.railing: 0.3873, IoU.cushion: 0.6472, IoU.base: 0.3591, IoU.box: 0.3688, IoU.column: 0.5455, IoU.signboard: 0.3966, IoU.chest of drawers: 0.4020, IoU.counter: 0.3706, IoU.sand: 0.3230, IoU.sink: 0.7556, IoU.skyscraper: 0.3403, IoU.fireplace: 0.7515, IoU.refrigerator: 0.8559, IoU.grandstand: 0.6285, IoU.path: 0.2582, IoU.stairs: 0.3495, IoU.runway: 0.7461, IoU.case: 0.6751, IoU.pool table: 0.9446, IoU.pillow: 0.6333, IoU.screen door: 0.6700, IoU.stairway: 0.2944, IoU.river: 0.1124, IoU.bridge: 0.7593, IoU.bookcase: 0.3303, IoU.blind: 0.4170, IoU.coffee table: 0.6556, IoU.toilet: 0.9084, IoU.flower: 0.4321, IoU.book: 0.5185, IoU.hill: 0.0695, IoU.bench: 0.5988, IoU.countertop: 0.6193, IoU.stove: 0.8347, IoU.palm: 0.5667, IoU.kitchen island: 0.4569, IoU.computer: 0.7861, IoU.swivel chair: 0.5347, IoU.boat: 0.4879, IoU.bar: 0.2536, IoU.arcade machine: 0.7795, IoU.hovel: 0.1375, IoU.bus: 0.9373, IoU.towel: 0.6857, IoU.light: 0.6348, IoU.truck: 0.4430, IoU.tower: 0.1433, IoU.chandelier: 0.6937, IoU.awning: 0.3232, IoU.streetlight: 0.4301, IoU.booth: 0.3679, IoU.television receiver: 0.7908, IoU.airplane: 0.6531, IoU.dirt track: 0.1138, IoU.apparel: 0.3066, IoU.pole: 0.3481, IoU.land: 0.0179, IoU.bannister: 0.1192, IoU.escalator: 0.6062, IoU.ottoman: 0.6530, IoU.bottle: 0.3766, IoU.buffet: 0.1539, IoU.poster: 0.3166, IoU.stage: 0.1690, IoU.van: 0.3021, IoU.ship: 0.0680, IoU.fountain: 0.2114, IoU.conveyer belt: 0.8688, IoU.canopy: 0.3233, IoU.washer: 0.6361, IoU.plaything: 0.3526, IoU.swimming pool: 0.4155, IoU.stool: 0.5432, IoU.barrel: 0.7796, IoU.basket: 0.4299, IoU.waterfall: 0.6180, IoU.tent: 0.9585, IoU.bag: 0.2803, IoU.minibike: 0.7190, IoU.cradle: 0.8690, IoU.oven: 0.2531, IoU.ball: 0.5244, IoU.food: 0.7178, IoU.step: 0.2976, IoU.tank: 0.4384, IoU.trade name: 0.2613, IoU.microwave: 0.3887, IoU.pot: 0.4816, IoU.animal: 0.7049, IoU.bicycle: 0.6034, IoU.lake: 0.0000, IoU.dishwasher: 0.8004, IoU.screen: 0.5130, IoU.blanket: 0.3073, IoU.sculpture: 0.5574, IoU.hood: 0.7580, IoU.sconce: 0.5530, IoU.vase: 0.4826, IoU.traffic light: 0.4396, IoU.tray: 0.1805, IoU.ashcan: 0.4938, IoU.fan: 0.6501, IoU.pier: 0.2923, IoU.crt screen: 0.0456, IoU.plate: 0.5981, IoU.monitor: 0.0599, IoU.bulletin board: 0.5153, IoU.shower: 0.1557, IoU.radiator: 0.6394, IoU.glass: 0.2544, IoU.clock: 0.3761, IoU.flag: 0.7165, Acc.wall: 0.8797, Acc.building: 0.9275, Acc.sky: 0.9757, Acc.floor: 0.8972, Acc.tree: 0.8606, Acc.ceiling: 0.9152, Acc.road: 0.9035, Acc.bed : 0.9521, Acc.windowpane: 0.8523, Acc.grass: 0.8159, Acc.cabinet: 0.7922, Acc.sidewalk: 0.8247, Acc.person: 0.9294, Acc.earth: 0.4833, Acc.door: 0.7411, Acc.table: 0.8143, Acc.mountain: 0.7168, Acc.plant: 0.6880, Acc.curtain: 0.8346, Acc.chair: 0.7870, Acc.car: 0.9476, Acc.water: 0.7870, Acc.painting: 0.9147, Acc.sofa: 0.9166, Acc.shelf: 0.5577, Acc.house: 0.4282, Acc.sea: 0.8005, Acc.mirror: 0.8268, Acc.rug: 0.8240, Acc.field: 0.6042, Acc.armchair: 0.6425, Acc.seat: 0.8421, Acc.fence: 0.6389, Acc.desk: 0.7069, Acc.rock: 0.7178, Acc.wardrobe: 0.5583, Acc.lamp: 0.8225, Acc.bathtub: 0.9138, Acc.railing: 0.6936, Acc.cushion: 0.7496, Acc.base: 0.4780, Acc.box: 0.5334, Acc.column: 0.7070, Acc.signboard: 0.6577, Acc.chest of drawers: 0.6251, Acc.counter: 0.5059, Acc.sand: 0.5076, Acc.sink: 0.8658, Acc.skyscraper: 0.4287, Acc.fireplace: 0.8941, Acc.refrigerator: 0.9331, Acc.grandstand: 0.7173, Acc.path: 0.3937, Acc.stairs: 0.4955, Acc.runway: 0.9402, Acc.case: 0.8153, Acc.pool table: 0.9750, Acc.pillow: 0.8530, Acc.screen door: 0.8147, Acc.stairway: 0.5409, Acc.river: 0.1551, Acc.bridge: 0.8478, Acc.bookcase: 0.5710, Acc.blind: 0.4761, Acc.coffee table: 0.8727, Acc.toilet: 0.9341, Acc.flower: 0.6790, Acc.book: 0.7872, Acc.hill: 0.0962, Acc.bench: 0.7746, Acc.countertop: 0.7336, Acc.stove: 0.8829, Acc.palm: 0.8543, Acc.kitchen island: 0.7665, Acc.computer: 0.8737, Acc.swivel chair: 0.7603, Acc.boat: 0.5842, Acc.bar: 0.2601, Acc.arcade machine: 0.8231, Acc.hovel: 0.1472, Acc.bus: 0.9629, Acc.towel: 0.9100, Acc.light: 0.7832, Acc.truck: 0.5651, Acc.tower: 0.2386, Acc.chandelier: 0.8791, Acc.awning: 0.6147, Acc.streetlight: 0.7220, Acc.booth: 0.3728, Acc.television receiver: 0.8834, Acc.airplane: 0.7079, Acc.dirt track: 0.1197, Acc.apparel: 0.5182, Acc.pole: 0.5694, Acc.land: 0.0251, Acc.bannister: 0.1914, Acc.escalator: 0.7821, Acc.ottoman: 0.7799, Acc.bottle: 0.5131, Acc.buffet: 0.1873, Acc.poster: 0.4402, Acc.stage: 0.2583, Acc.van: 0.3900, Acc.ship: 0.0972, Acc.fountain: 0.2345, Acc.conveyer belt: 0.9521, Acc.canopy: 0.4430, Acc.washer: 0.7567, Acc.plaything: 0.6141, Acc.swimming pool: 0.4505, Acc.stool: 0.7341, Acc.barrel: 0.8822, Acc.basket: 0.6091, Acc.waterfall: 0.8912, Acc.tent: 0.9720, Acc.bag: 0.4383, Acc.minibike: 0.8788, Acc.cradle: 0.9777, Acc.oven: 0.7174, Acc.ball: 0.7236, Acc.food: 0.9017, Acc.step: 0.4131, Acc.tank: 0.4570, Acc.trade name: 0.3556, Acc.microwave: 0.4284, Acc.pot: 0.6281, Acc.animal: 0.7238, Acc.bicycle: 0.8433, Acc.lake: 0.0000, Acc.dishwasher: 0.8957, Acc.screen: 0.8976, Acc.blanket: 0.3900, Acc.sculpture: 0.8951, Acc.hood: 0.9115, Acc.sconce: 0.7907, Acc.vase: 0.7676, Acc.traffic light: 0.6997, Acc.tray: 0.2953, Acc.ashcan: 0.7691, Acc.fan: 0.8629, Acc.pier: 0.3096, Acc.crt screen: 0.1282, Acc.plate: 0.8044, Acc.monitor: 0.0740, Acc.bulletin board: 0.7103, Acc.shower: 0.2715, Acc.radiator: 0.9082, Acc.glass: 0.3102, Acc.clock: 0.5005, Acc.flag: 0.8505 2023-11-22 02:30:48,851 - mmseg - INFO - Iter [32050/160000] lr: 7.617e-06, eta: 20:58:58, time: 0.965, data_time: 0.407, memory: 38143, decode.loss_cls: 0.4957, decode.loss_mask: 0.6617, decode.loss_dice: 0.9365, decode.d0.loss_cls: 1.7019, decode.d0.loss_mask: 0.7020, decode.d0.loss_dice: 1.0798, decode.d1.loss_cls: 0.6058, decode.d1.loss_mask: 0.6917, decode.d1.loss_dice: 0.9994, decode.d2.loss_cls: 0.5437, decode.d2.loss_mask: 0.6745, decode.d2.loss_dice: 0.9663, decode.d3.loss_cls: 0.5160, decode.d3.loss_mask: 0.6664, decode.d3.loss_dice: 0.9455, decode.d4.loss_cls: 0.5078, decode.d4.loss_mask: 0.6641, decode.d4.loss_dice: 0.9381, decode.d5.loss_cls: 0.5029, decode.d5.loss_mask: 0.6642, decode.d5.loss_dice: 0.9446, decode.d6.loss_cls: 0.4981, decode.d6.loss_mask: 0.6605, decode.d6.loss_dice: 0.9371, decode.d7.loss_cls: 0.4955, decode.d7.loss_mask: 0.6586, decode.d7.loss_dice: 0.9380, decode.d8.loss_cls: 0.4917, decode.d8.loss_mask: 0.6613, decode.d8.loss_dice: 0.9355, loss: 22.6848, grad_norm: 79.9884 2023-11-22 02:31:17,267 - mmseg - INFO - Iter [32100/160000] lr: 7.614e-06, eta: 20:58:24, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5165, decode.loss_mask: 0.6423, decode.loss_dice: 0.9327, decode.d0.loss_cls: 1.7202, decode.d0.loss_mask: 0.6736, decode.d0.loss_dice: 1.0840, decode.d1.loss_cls: 0.6267, decode.d1.loss_mask: 0.6672, decode.d1.loss_dice: 0.9946, decode.d2.loss_cls: 0.5540, decode.d2.loss_mask: 0.6537, decode.d2.loss_dice: 0.9627, decode.d3.loss_cls: 0.5305, decode.d3.loss_mask: 0.6483, decode.d3.loss_dice: 0.9426, decode.d4.loss_cls: 0.5194, decode.d4.loss_mask: 0.6500, decode.d4.loss_dice: 0.9503, decode.d5.loss_cls: 0.5090, decode.d5.loss_mask: 0.6471, decode.d5.loss_dice: 0.9406, decode.d6.loss_cls: 0.5025, decode.d6.loss_mask: 0.6465, decode.d6.loss_dice: 0.9352, decode.d7.loss_cls: 0.5083, decode.d7.loss_mask: 0.6438, decode.d7.loss_dice: 0.9401, decode.d8.loss_cls: 0.5068, decode.d8.loss_mask: 0.6466, decode.d8.loss_dice: 0.9402, loss: 22.6360, grad_norm: 76.0179 2023-11-22 02:31:45,593 - mmseg - INFO - Iter [32150/160000] lr: 7.611e-06, eta: 20:57:50, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4757, decode.loss_mask: 0.6459, decode.loss_dice: 0.9257, decode.d0.loss_cls: 1.6955, decode.d0.loss_mask: 0.6818, decode.d0.loss_dice: 1.0615, decode.d1.loss_cls: 0.5898, decode.d1.loss_mask: 0.6746, decode.d1.loss_dice: 0.9895, decode.d2.loss_cls: 0.5139, decode.d2.loss_mask: 0.6611, decode.d2.loss_dice: 0.9541, decode.d3.loss_cls: 0.4931, decode.d3.loss_mask: 0.6522, decode.d3.loss_dice: 0.9337, decode.d4.loss_cls: 0.4845, decode.d4.loss_mask: 0.6514, decode.d4.loss_dice: 0.9317, decode.d5.loss_cls: 0.4785, decode.d5.loss_mask: 0.6527, decode.d5.loss_dice: 0.9386, decode.d6.loss_cls: 0.4746, decode.d6.loss_mask: 0.6477, decode.d6.loss_dice: 0.9231, decode.d7.loss_cls: 0.4718, decode.d7.loss_mask: 0.6477, decode.d7.loss_dice: 0.9248, decode.d8.loss_cls: 0.4637, decode.d8.loss_mask: 0.6472, decode.d8.loss_dice: 0.9295, loss: 22.2158, grad_norm: 73.6593 2023-11-22 02:32:14,217 - mmseg - INFO - Iter [32200/160000] lr: 7.608e-06, eta: 20:57:17, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4754, decode.loss_mask: 0.6184, decode.loss_dice: 0.9068, decode.d0.loss_cls: 1.6752, decode.d0.loss_mask: 0.6583, decode.d0.loss_dice: 1.0669, decode.d1.loss_cls: 0.5822, decode.d1.loss_mask: 0.6478, decode.d1.loss_dice: 0.9804, decode.d2.loss_cls: 0.5257, decode.d2.loss_mask: 0.6374, decode.d2.loss_dice: 0.9425, decode.d3.loss_cls: 0.4963, decode.d3.loss_mask: 0.6270, decode.d3.loss_dice: 0.9219, decode.d4.loss_cls: 0.4891, decode.d4.loss_mask: 0.6252, decode.d4.loss_dice: 0.9218, decode.d5.loss_cls: 0.4847, decode.d5.loss_mask: 0.6205, decode.d5.loss_dice: 0.9189, decode.d6.loss_cls: 0.4836, decode.d6.loss_mask: 0.6241, decode.d6.loss_dice: 0.9138, decode.d7.loss_cls: 0.4803, decode.d7.loss_mask: 0.6229, decode.d7.loss_dice: 0.9146, decode.d8.loss_cls: 0.4772, decode.d8.loss_mask: 0.6270, decode.d8.loss_dice: 0.9128, loss: 21.8787, grad_norm: 71.0568 2023-11-22 02:32:42,990 - mmseg - INFO - Iter [32250/160000] lr: 7.605e-06, eta: 20:56:44, time: 0.575, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4859, decode.loss_mask: 0.6414, decode.loss_dice: 0.9247, decode.d0.loss_cls: 1.7235, decode.d0.loss_mask: 0.6791, decode.d0.loss_dice: 1.0855, decode.d1.loss_cls: 0.5858, decode.d1.loss_mask: 0.6650, decode.d1.loss_dice: 1.0049, decode.d2.loss_cls: 0.5253, decode.d2.loss_mask: 0.6570, decode.d2.loss_dice: 0.9595, decode.d3.loss_cls: 0.5015, decode.d3.loss_mask: 0.6463, decode.d3.loss_dice: 0.9345, decode.d4.loss_cls: 0.4928, decode.d4.loss_mask: 0.6463, decode.d4.loss_dice: 0.9356, decode.d5.loss_cls: 0.4852, decode.d5.loss_mask: 0.6464, decode.d5.loss_dice: 0.9372, decode.d6.loss_cls: 0.4879, decode.d6.loss_mask: 0.6413, decode.d6.loss_dice: 0.9308, decode.d7.loss_cls: 0.4827, decode.d7.loss_mask: 0.6429, decode.d7.loss_dice: 0.9276, decode.d8.loss_cls: 0.4891, decode.d8.loss_mask: 0.6411, decode.d8.loss_dice: 0.9313, loss: 22.3378, grad_norm: 76.3803 2023-11-22 02:33:11,317 - mmseg - INFO - Iter [32300/160000] lr: 7.602e-06, eta: 20:56:10, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4739, decode.loss_mask: 0.6291, decode.loss_dice: 0.9175, decode.d0.loss_cls: 1.7225, decode.d0.loss_mask: 0.6690, decode.d0.loss_dice: 1.0593, decode.d1.loss_cls: 0.5929, decode.d1.loss_mask: 0.6539, decode.d1.loss_dice: 0.9834, decode.d2.loss_cls: 0.5196, decode.d2.loss_mask: 0.6400, decode.d2.loss_dice: 0.9493, decode.d3.loss_cls: 0.5026, decode.d3.loss_mask: 0.6272, decode.d3.loss_dice: 0.9254, decode.d4.loss_cls: 0.4830, decode.d4.loss_mask: 0.6325, decode.d4.loss_dice: 0.9286, decode.d5.loss_cls: 0.4928, decode.d5.loss_mask: 0.6296, decode.d5.loss_dice: 0.9215, decode.d6.loss_cls: 0.4830, decode.d6.loss_mask: 0.6319, decode.d6.loss_dice: 0.9218, decode.d7.loss_cls: 0.4732, decode.d7.loss_mask: 0.6277, decode.d7.loss_dice: 0.9198, decode.d8.loss_cls: 0.4753, decode.d8.loss_mask: 0.6327, decode.d8.loss_dice: 0.9202, loss: 22.0392, grad_norm: 73.4018 2023-11-22 02:33:39,764 - mmseg - INFO - Iter [32350/160000] lr: 7.599e-06, eta: 20:55:36, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5264, decode.loss_mask: 0.6508, decode.loss_dice: 0.9327, decode.d0.loss_cls: 1.7530, decode.d0.loss_mask: 0.6951, decode.d0.loss_dice: 1.0915, decode.d1.loss_cls: 0.6495, decode.d1.loss_mask: 0.6779, decode.d1.loss_dice: 1.0023, decode.d2.loss_cls: 0.5797, decode.d2.loss_mask: 0.6622, decode.d2.loss_dice: 0.9599, decode.d3.loss_cls: 0.5487, decode.d3.loss_mask: 0.6573, decode.d3.loss_dice: 0.9384, decode.d4.loss_cls: 0.5411, decode.d4.loss_mask: 0.6562, decode.d4.loss_dice: 0.9463, decode.d5.loss_cls: 0.5302, decode.d5.loss_mask: 0.6578, decode.d5.loss_dice: 0.9469, decode.d6.loss_cls: 0.5328, decode.d6.loss_mask: 0.6528, decode.d6.loss_dice: 0.9360, decode.d7.loss_cls: 0.5271, decode.d7.loss_mask: 0.6527, decode.d7.loss_dice: 0.9372, decode.d8.loss_cls: 0.5301, decode.d8.loss_mask: 0.6521, decode.d8.loss_dice: 0.9347, loss: 22.9593, grad_norm: 74.8891 2023-11-22 02:34:08,953 - mmseg - INFO - Iter [32400/160000] lr: 7.596e-06, eta: 20:55:05, time: 0.584, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4836, decode.loss_mask: 0.6559, decode.loss_dice: 0.9267, decode.d0.loss_cls: 1.6770, decode.d0.loss_mask: 0.6903, decode.d0.loss_dice: 1.0807, decode.d1.loss_cls: 0.6010, decode.d1.loss_mask: 0.6771, decode.d1.loss_dice: 1.0031, decode.d2.loss_cls: 0.5363, decode.d2.loss_mask: 0.6632, decode.d2.loss_dice: 0.9668, decode.d3.loss_cls: 0.5042, decode.d3.loss_mask: 0.6600, decode.d3.loss_dice: 0.9408, decode.d4.loss_cls: 0.4895, decode.d4.loss_mask: 0.6561, decode.d4.loss_dice: 0.9426, decode.d5.loss_cls: 0.4833, decode.d5.loss_mask: 0.6633, decode.d5.loss_dice: 0.9352, decode.d6.loss_cls: 0.4846, decode.d6.loss_mask: 0.6604, decode.d6.loss_dice: 0.9311, decode.d7.loss_cls: 0.4829, decode.d7.loss_mask: 0.6569, decode.d7.loss_dice: 0.9309, decode.d8.loss_cls: 0.4825, decode.d8.loss_mask: 0.6605, decode.d8.loss_dice: 0.9311, loss: 22.4575, grad_norm: 73.3904 2023-11-22 02:34:37,341 - mmseg - INFO - Iter [32450/160000] lr: 7.593e-06, eta: 20:54:31, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4924, decode.loss_mask: 0.6459, decode.loss_dice: 0.9465, decode.d0.loss_cls: 1.6705, decode.d0.loss_mask: 0.6882, decode.d0.loss_dice: 1.0899, decode.d1.loss_cls: 0.5952, decode.d1.loss_mask: 0.6764, decode.d1.loss_dice: 1.0160, decode.d2.loss_cls: 0.5328, decode.d2.loss_mask: 0.6610, decode.d2.loss_dice: 0.9766, decode.d3.loss_cls: 0.5118, decode.d3.loss_mask: 0.6497, decode.d3.loss_dice: 0.9539, decode.d4.loss_cls: 0.4959, decode.d4.loss_mask: 0.6492, decode.d4.loss_dice: 0.9631, decode.d5.loss_cls: 0.5030, decode.d5.loss_mask: 0.6485, decode.d5.loss_dice: 0.9549, decode.d6.loss_cls: 0.4933, decode.d6.loss_mask: 0.6432, decode.d6.loss_dice: 0.9483, decode.d7.loss_cls: 0.4854, decode.d7.loss_mask: 0.6452, decode.d7.loss_dice: 0.9501, decode.d8.loss_cls: 0.4833, decode.d8.loss_mask: 0.6428, decode.d8.loss_dice: 0.9509, loss: 22.5639, grad_norm: 73.8649 2023-11-22 02:35:05,931 - mmseg - INFO - Iter [32500/160000] lr: 7.590e-06, eta: 20:53:58, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4868, decode.loss_mask: 0.6515, decode.loss_dice: 0.9209, decode.d0.loss_cls: 1.7027, decode.d0.loss_mask: 0.6952, decode.d0.loss_dice: 1.0635, decode.d1.loss_cls: 0.6169, decode.d1.loss_mask: 0.6843, decode.d1.loss_dice: 0.9860, decode.d2.loss_cls: 0.5449, decode.d2.loss_mask: 0.6665, decode.d2.loss_dice: 0.9558, decode.d3.loss_cls: 0.5179, decode.d3.loss_mask: 0.6595, decode.d3.loss_dice: 0.9359, decode.d4.loss_cls: 0.5033, decode.d4.loss_mask: 0.6562, decode.d4.loss_dice: 0.9335, decode.d5.loss_cls: 0.5007, decode.d5.loss_mask: 0.6523, decode.d5.loss_dice: 0.9325, decode.d6.loss_cls: 0.4970, decode.d6.loss_mask: 0.6534, decode.d6.loss_dice: 0.9165, decode.d7.loss_cls: 0.4988, decode.d7.loss_mask: 0.6537, decode.d7.loss_dice: 0.9147, decode.d8.loss_cls: 0.4912, decode.d8.loss_mask: 0.6535, decode.d8.loss_dice: 0.9199, loss: 22.4653, grad_norm: 76.7697 2023-11-22 02:35:34,698 - mmseg - INFO - Iter [32550/160000] lr: 7.587e-06, eta: 20:53:26, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4816, decode.loss_mask: 0.6414, decode.loss_dice: 0.9181, decode.d0.loss_cls: 1.6831, decode.d0.loss_mask: 0.6821, decode.d0.loss_dice: 1.0707, decode.d1.loss_cls: 0.5941, decode.d1.loss_mask: 0.6665, decode.d1.loss_dice: 0.9831, decode.d2.loss_cls: 0.5291, decode.d2.loss_mask: 0.6476, decode.d2.loss_dice: 0.9407, decode.d3.loss_cls: 0.5104, decode.d3.loss_mask: 0.6407, decode.d3.loss_dice: 0.9303, decode.d4.loss_cls: 0.5009, decode.d4.loss_mask: 0.6406, decode.d4.loss_dice: 0.9206, decode.d5.loss_cls: 0.4933, decode.d5.loss_mask: 0.6382, decode.d5.loss_dice: 0.9302, decode.d6.loss_cls: 0.4890, decode.d6.loss_mask: 0.6326, decode.d6.loss_dice: 0.9210, decode.d7.loss_cls: 0.4882, decode.d7.loss_mask: 0.6325, decode.d7.loss_dice: 0.9210, decode.d8.loss_cls: 0.4801, decode.d8.loss_mask: 0.6385, decode.d8.loss_dice: 0.9227, loss: 22.1690, grad_norm: 74.7161 2023-11-22 02:36:03,402 - mmseg - INFO - Iter [32600/160000] lr: 7.584e-06, eta: 20:52:53, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4945, decode.loss_mask: 0.6465, decode.loss_dice: 0.9425, decode.d0.loss_cls: 1.7320, decode.d0.loss_mask: 0.6832, decode.d0.loss_dice: 1.0892, decode.d1.loss_cls: 0.6143, decode.d1.loss_mask: 0.6777, decode.d1.loss_dice: 1.0158, decode.d2.loss_cls: 0.5490, decode.d2.loss_mask: 0.6610, decode.d2.loss_dice: 0.9669, decode.d3.loss_cls: 0.5211, decode.d3.loss_mask: 0.6498, decode.d3.loss_dice: 0.9440, decode.d4.loss_cls: 0.5126, decode.d4.loss_mask: 0.6522, decode.d4.loss_dice: 0.9446, decode.d5.loss_cls: 0.5046, decode.d5.loss_mask: 0.6488, decode.d5.loss_dice: 0.9437, decode.d6.loss_cls: 0.5023, decode.d6.loss_mask: 0.6458, decode.d6.loss_dice: 0.9348, decode.d7.loss_cls: 0.4960, decode.d7.loss_mask: 0.6469, decode.d7.loss_dice: 0.9370, decode.d8.loss_cls: 0.4938, decode.d8.loss_mask: 0.6450, decode.d8.loss_dice: 0.9364, loss: 22.6320, grad_norm: 74.5688 2023-11-22 02:36:31,896 - mmseg - INFO - Iter [32650/160000] lr: 7.581e-06, eta: 20:52:20, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4859, decode.loss_mask: 0.6423, decode.loss_dice: 0.9096, decode.d0.loss_cls: 1.6691, decode.d0.loss_mask: 0.6832, decode.d0.loss_dice: 1.0555, decode.d1.loss_cls: 0.5786, decode.d1.loss_mask: 0.6741, decode.d1.loss_dice: 0.9733, decode.d2.loss_cls: 0.5209, decode.d2.loss_mask: 0.6495, decode.d2.loss_dice: 0.9340, decode.d3.loss_cls: 0.5052, decode.d3.loss_mask: 0.6479, decode.d3.loss_dice: 0.9156, decode.d4.loss_cls: 0.4909, decode.d4.loss_mask: 0.6439, decode.d4.loss_dice: 0.9166, decode.d5.loss_cls: 0.4908, decode.d5.loss_mask: 0.6486, decode.d5.loss_dice: 0.9117, decode.d6.loss_cls: 0.4845, decode.d6.loss_mask: 0.6475, decode.d6.loss_dice: 0.9055, decode.d7.loss_cls: 0.4818, decode.d7.loss_mask: 0.6448, decode.d7.loss_dice: 0.9034, decode.d8.loss_cls: 0.4845, decode.d8.loss_mask: 0.6405, decode.d8.loss_dice: 0.9073, loss: 22.0472, grad_norm: 78.5666 2023-11-22 02:37:00,318 - mmseg - INFO - Iter [32700/160000] lr: 7.578e-06, eta: 20:51:46, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4649, decode.loss_mask: 0.6624, decode.loss_dice: 0.9049, decode.d0.loss_cls: 1.6412, decode.d0.loss_mask: 0.7024, decode.d0.loss_dice: 1.0553, decode.d1.loss_cls: 0.5887, decode.d1.loss_mask: 0.6882, decode.d1.loss_dice: 0.9770, decode.d2.loss_cls: 0.5185, decode.d2.loss_mask: 0.6754, decode.d2.loss_dice: 0.9286, decode.d3.loss_cls: 0.4962, decode.d3.loss_mask: 0.6715, decode.d3.loss_dice: 0.9138, decode.d4.loss_cls: 0.4827, decode.d4.loss_mask: 0.6686, decode.d4.loss_dice: 0.9143, decode.d5.loss_cls: 0.4815, decode.d5.loss_mask: 0.6673, decode.d5.loss_dice: 0.9131, decode.d6.loss_cls: 0.4790, decode.d6.loss_mask: 0.6655, decode.d6.loss_dice: 0.9105, decode.d7.loss_cls: 0.4681, decode.d7.loss_mask: 0.6656, decode.d7.loss_dice: 0.9072, decode.d8.loss_cls: 0.4720, decode.d8.loss_mask: 0.6645, decode.d8.loss_dice: 0.9041, loss: 22.1530, grad_norm: 75.4465 2023-11-22 02:37:28,807 - mmseg - INFO - Iter [32750/160000] lr: 7.575e-06, eta: 20:51:13, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4798, decode.loss_mask: 0.6371, decode.loss_dice: 0.9303, decode.d0.loss_cls: 1.6906, decode.d0.loss_mask: 0.6771, decode.d0.loss_dice: 1.0849, decode.d1.loss_cls: 0.6004, decode.d1.loss_mask: 0.6669, decode.d1.loss_dice: 1.0019, decode.d2.loss_cls: 0.5372, decode.d2.loss_mask: 0.6455, decode.d2.loss_dice: 0.9648, decode.d3.loss_cls: 0.5062, decode.d3.loss_mask: 0.6400, decode.d3.loss_dice: 0.9392, decode.d4.loss_cls: 0.4948, decode.d4.loss_mask: 0.6393, decode.d4.loss_dice: 0.9461, decode.d5.loss_cls: 0.4951, decode.d5.loss_mask: 0.6364, decode.d5.loss_dice: 0.9386, decode.d6.loss_cls: 0.4924, decode.d6.loss_mask: 0.6361, decode.d6.loss_dice: 0.9316, decode.d7.loss_cls: 0.4776, decode.d7.loss_mask: 0.6391, decode.d7.loss_dice: 0.9334, decode.d8.loss_cls: 0.4890, decode.d8.loss_mask: 0.6351, decode.d8.loss_dice: 0.9333, loss: 22.3198, grad_norm: 76.2545 2023-11-22 02:37:57,206 - mmseg - INFO - Iter [32800/160000] lr: 7.572e-06, eta: 20:50:39, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5023, decode.loss_mask: 0.6325, decode.loss_dice: 0.9102, decode.d0.loss_cls: 1.7120, decode.d0.loss_mask: 0.6754, decode.d0.loss_dice: 1.0512, decode.d1.loss_cls: 0.6127, decode.d1.loss_mask: 0.6644, decode.d1.loss_dice: 0.9756, decode.d2.loss_cls: 0.5455, decode.d2.loss_mask: 0.6468, decode.d2.loss_dice: 0.9371, decode.d3.loss_cls: 0.5192, decode.d3.loss_mask: 0.6413, decode.d3.loss_dice: 0.9152, decode.d4.loss_cls: 0.5075, decode.d4.loss_mask: 0.6371, decode.d4.loss_dice: 0.9220, decode.d5.loss_cls: 0.5082, decode.d5.loss_mask: 0.6352, decode.d5.loss_dice: 0.9088, decode.d6.loss_cls: 0.4989, decode.d6.loss_mask: 0.6353, decode.d6.loss_dice: 0.9128, decode.d7.loss_cls: 0.5003, decode.d7.loss_mask: 0.6352, decode.d7.loss_dice: 0.9121, decode.d8.loss_cls: 0.5010, decode.d8.loss_mask: 0.6390, decode.d8.loss_dice: 0.9179, loss: 22.2130, grad_norm: 75.3132 2023-11-22 02:38:28,208 - mmseg - INFO - Iter [32850/160000] lr: 7.569e-06, eta: 20:50:15, time: 0.620, data_time: 0.058, memory: 38143, decode.loss_cls: 0.5021, decode.loss_mask: 0.6368, decode.loss_dice: 0.9247, decode.d0.loss_cls: 1.6927, decode.d0.loss_mask: 0.6793, decode.d0.loss_dice: 1.0844, decode.d1.loss_cls: 0.6221, decode.d1.loss_mask: 0.6662, decode.d1.loss_dice: 0.9873, decode.d2.loss_cls: 0.5487, decode.d2.loss_mask: 0.6419, decode.d2.loss_dice: 0.9504, decode.d3.loss_cls: 0.5179, decode.d3.loss_mask: 0.6396, decode.d3.loss_dice: 0.9287, decode.d4.loss_cls: 0.5110, decode.d4.loss_mask: 0.6393, decode.d4.loss_dice: 0.9316, decode.d5.loss_cls: 0.5036, decode.d5.loss_mask: 0.6387, decode.d5.loss_dice: 0.9370, decode.d6.loss_cls: 0.5062, decode.d6.loss_mask: 0.6395, decode.d6.loss_dice: 0.9252, decode.d7.loss_cls: 0.4969, decode.d7.loss_mask: 0.6413, decode.d7.loss_dice: 0.9244, decode.d8.loss_cls: 0.5016, decode.d8.loss_mask: 0.6344, decode.d8.loss_dice: 0.9260, loss: 22.3796, grad_norm: 73.3793 2023-11-22 02:38:56,605 - mmseg - INFO - Iter [32900/160000] lr: 7.566e-06, eta: 20:49:42, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5082, decode.loss_mask: 0.6203, decode.loss_dice: 0.9102, decode.d0.loss_cls: 1.7202, decode.d0.loss_mask: 0.6679, decode.d0.loss_dice: 1.0547, decode.d1.loss_cls: 0.6058, decode.d1.loss_mask: 0.6587, decode.d1.loss_dice: 0.9822, decode.d2.loss_cls: 0.5438, decode.d2.loss_mask: 0.6326, decode.d2.loss_dice: 0.9388, decode.d3.loss_cls: 0.5230, decode.d3.loss_mask: 0.6304, decode.d3.loss_dice: 0.9210, decode.d4.loss_cls: 0.5141, decode.d4.loss_mask: 0.6289, decode.d4.loss_dice: 0.9232, decode.d5.loss_cls: 0.5060, decode.d5.loss_mask: 0.6271, decode.d5.loss_dice: 0.9249, decode.d6.loss_cls: 0.5109, decode.d6.loss_mask: 0.6243, decode.d6.loss_dice: 0.9080, decode.d7.loss_cls: 0.5014, decode.d7.loss_mask: 0.6256, decode.d7.loss_dice: 0.9102, decode.d8.loss_cls: 0.5055, decode.d8.loss_mask: 0.6249, decode.d8.loss_dice: 0.9112, loss: 22.1640, grad_norm: 70.3379 2023-11-22 02:39:25,063 - mmseg - INFO - Iter [32950/160000] lr: 7.563e-06, eta: 20:49:08, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4879, decode.loss_mask: 0.6175, decode.loss_dice: 0.8833, decode.d0.loss_cls: 1.7061, decode.d0.loss_mask: 0.6613, decode.d0.loss_dice: 1.0435, decode.d1.loss_cls: 0.5999, decode.d1.loss_mask: 0.6479, decode.d1.loss_dice: 0.9620, decode.d2.loss_cls: 0.5302, decode.d2.loss_mask: 0.6341, decode.d2.loss_dice: 0.9120, decode.d3.loss_cls: 0.5046, decode.d3.loss_mask: 0.6221, decode.d3.loss_dice: 0.8911, decode.d4.loss_cls: 0.5002, decode.d4.loss_mask: 0.6177, decode.d4.loss_dice: 0.8968, decode.d5.loss_cls: 0.4882, decode.d5.loss_mask: 0.6192, decode.d5.loss_dice: 0.8955, decode.d6.loss_cls: 0.4978, decode.d6.loss_mask: 0.6157, decode.d6.loss_dice: 0.8834, decode.d7.loss_cls: 0.4886, decode.d7.loss_mask: 0.6175, decode.d7.loss_dice: 0.8880, decode.d8.loss_cls: 0.4881, decode.d8.loss_mask: 0.6178, decode.d8.loss_dice: 0.8913, loss: 21.7093, grad_norm: 77.4545 2023-11-22 02:39:53,424 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 02:39:53,424 - mmseg - INFO - Iter [33000/160000] lr: 7.560e-06, eta: 20:48:34, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4976, decode.loss_mask: 0.6101, decode.loss_dice: 0.9149, decode.d0.loss_cls: 1.7086, decode.d0.loss_mask: 0.6422, decode.d0.loss_dice: 1.0617, decode.d1.loss_cls: 0.6042, decode.d1.loss_mask: 0.6290, decode.d1.loss_dice: 0.9843, decode.d2.loss_cls: 0.5436, decode.d2.loss_mask: 0.6124, decode.d2.loss_dice: 0.9490, decode.d3.loss_cls: 0.5200, decode.d3.loss_mask: 0.6086, decode.d3.loss_dice: 0.9220, decode.d4.loss_cls: 0.5138, decode.d4.loss_mask: 0.6054, decode.d4.loss_dice: 0.9236, decode.d5.loss_cls: 0.5079, decode.d5.loss_mask: 0.6088, decode.d5.loss_dice: 0.9229, decode.d6.loss_cls: 0.5002, decode.d6.loss_mask: 0.6100, decode.d6.loss_dice: 0.9162, decode.d7.loss_cls: 0.4994, decode.d7.loss_mask: 0.6059, decode.d7.loss_dice: 0.9151, decode.d8.loss_cls: 0.4957, decode.d8.loss_mask: 0.6103, decode.d8.loss_dice: 0.9173, loss: 21.9607, grad_norm: 70.1915 2023-11-22 02:40:21,813 - mmseg - INFO - Iter [33050/160000] lr: 7.557e-06, eta: 20:48:00, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4840, decode.loss_mask: 0.6258, decode.loss_dice: 0.9223, decode.d0.loss_cls: 1.7145, decode.d0.loss_mask: 0.6659, decode.d0.loss_dice: 1.0781, decode.d1.loss_cls: 0.5957, decode.d1.loss_mask: 0.6530, decode.d1.loss_dice: 0.9878, decode.d2.loss_cls: 0.5246, decode.d2.loss_mask: 0.6405, decode.d2.loss_dice: 0.9532, decode.d3.loss_cls: 0.5045, decode.d3.loss_mask: 0.6296, decode.d3.loss_dice: 0.9270, decode.d4.loss_cls: 0.4947, decode.d4.loss_mask: 0.6288, decode.d4.loss_dice: 0.9331, decode.d5.loss_cls: 0.4869, decode.d5.loss_mask: 0.6297, decode.d5.loss_dice: 0.9284, decode.d6.loss_cls: 0.4829, decode.d6.loss_mask: 0.6270, decode.d6.loss_dice: 0.9198, decode.d7.loss_cls: 0.4772, decode.d7.loss_mask: 0.6347, decode.d7.loss_dice: 0.9221, decode.d8.loss_cls: 0.4771, decode.d8.loss_mask: 0.6298, decode.d8.loss_dice: 0.9242, loss: 22.1030, grad_norm: 72.0939 2023-11-22 02:40:50,254 - mmseg - INFO - Iter [33100/160000] lr: 7.554e-06, eta: 20:47:27, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4949, decode.loss_mask: 0.6097, decode.loss_dice: 0.9053, decode.d0.loss_cls: 1.7405, decode.d0.loss_mask: 0.6538, decode.d0.loss_dice: 1.0623, decode.d1.loss_cls: 0.6039, decode.d1.loss_mask: 0.6389, decode.d1.loss_dice: 0.9772, decode.d2.loss_cls: 0.5402, decode.d2.loss_mask: 0.6213, decode.d2.loss_dice: 0.9420, decode.d3.loss_cls: 0.5114, decode.d3.loss_mask: 0.6167, decode.d3.loss_dice: 0.9263, decode.d4.loss_cls: 0.5033, decode.d4.loss_mask: 0.6140, decode.d4.loss_dice: 0.9168, decode.d5.loss_cls: 0.5027, decode.d5.loss_mask: 0.6151, decode.d5.loss_dice: 0.9131, decode.d6.loss_cls: 0.4960, decode.d6.loss_mask: 0.6102, decode.d6.loss_dice: 0.9006, decode.d7.loss_cls: 0.4856, decode.d7.loss_mask: 0.6135, decode.d7.loss_dice: 0.9110, decode.d8.loss_cls: 0.4936, decode.d8.loss_mask: 0.6098, decode.d8.loss_dice: 0.9076, loss: 21.9372, grad_norm: 68.1532 2023-11-22 02:41:18,959 - mmseg - INFO - Iter [33150/160000] lr: 7.551e-06, eta: 20:46:54, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4920, decode.loss_mask: 0.6220, decode.loss_dice: 0.9172, decode.d0.loss_cls: 1.7076, decode.d0.loss_mask: 0.6651, decode.d0.loss_dice: 1.0667, decode.d1.loss_cls: 0.6016, decode.d1.loss_mask: 0.6530, decode.d1.loss_dice: 0.9833, decode.d2.loss_cls: 0.5381, decode.d2.loss_mask: 0.6418, decode.d2.loss_dice: 0.9454, decode.d3.loss_cls: 0.5155, decode.d3.loss_mask: 0.6287, decode.d3.loss_dice: 0.9244, decode.d4.loss_cls: 0.5064, decode.d4.loss_mask: 0.6319, decode.d4.loss_dice: 0.9206, decode.d5.loss_cls: 0.4969, decode.d5.loss_mask: 0.6265, decode.d5.loss_dice: 0.9270, decode.d6.loss_cls: 0.4994, decode.d6.loss_mask: 0.6300, decode.d6.loss_dice: 0.9187, decode.d7.loss_cls: 0.4877, decode.d7.loss_mask: 0.6257, decode.d7.loss_dice: 0.9134, decode.d8.loss_cls: 0.4937, decode.d8.loss_mask: 0.6254, decode.d8.loss_dice: 0.9159, loss: 22.1217, grad_norm: 72.7005 2023-11-22 02:41:47,170 - mmseg - INFO - Iter [33200/160000] lr: 7.549e-06, eta: 20:46:20, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4885, decode.loss_mask: 0.6439, decode.loss_dice: 0.9333, decode.d0.loss_cls: 1.6878, decode.d0.loss_mask: 0.6821, decode.d0.loss_dice: 1.0745, decode.d1.loss_cls: 0.6037, decode.d1.loss_mask: 0.6681, decode.d1.loss_dice: 0.9944, decode.d2.loss_cls: 0.5388, decode.d2.loss_mask: 0.6526, decode.d2.loss_dice: 0.9547, decode.d3.loss_cls: 0.5156, decode.d3.loss_mask: 0.6439, decode.d3.loss_dice: 0.9343, decode.d4.loss_cls: 0.5054, decode.d4.loss_mask: 0.6454, decode.d4.loss_dice: 0.9307, decode.d5.loss_cls: 0.4987, decode.d5.loss_mask: 0.6430, decode.d5.loss_dice: 0.9355, decode.d6.loss_cls: 0.4913, decode.d6.loss_mask: 0.6428, decode.d6.loss_dice: 0.9309, decode.d7.loss_cls: 0.4906, decode.d7.loss_mask: 0.6441, decode.d7.loss_dice: 0.9312, decode.d8.loss_cls: 0.4900, decode.d8.loss_mask: 0.6405, decode.d8.loss_dice: 0.9360, loss: 22.3721, grad_norm: 75.7276 2023-11-22 02:42:15,590 - mmseg - INFO - Iter [33250/160000] lr: 7.546e-06, eta: 20:45:46, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4808, decode.loss_mask: 0.6178, decode.loss_dice: 0.9080, decode.d0.loss_cls: 1.6799, decode.d0.loss_mask: 0.6673, decode.d0.loss_dice: 1.0626, decode.d1.loss_cls: 0.5875, decode.d1.loss_mask: 0.6496, decode.d1.loss_dice: 0.9722, decode.d2.loss_cls: 0.5254, decode.d2.loss_mask: 0.6309, decode.d2.loss_dice: 0.9390, decode.d3.loss_cls: 0.5021, decode.d3.loss_mask: 0.6217, decode.d3.loss_dice: 0.9224, decode.d4.loss_cls: 0.4989, decode.d4.loss_mask: 0.6182, decode.d4.loss_dice: 0.9197, decode.d5.loss_cls: 0.4933, decode.d5.loss_mask: 0.6159, decode.d5.loss_dice: 0.9103, decode.d6.loss_cls: 0.4904, decode.d6.loss_mask: 0.6134, decode.d6.loss_dice: 0.9061, decode.d7.loss_cls: 0.4814, decode.d7.loss_mask: 0.6188, decode.d7.loss_dice: 0.9040, decode.d8.loss_cls: 0.4837, decode.d8.loss_mask: 0.6186, decode.d8.loss_dice: 0.9123, loss: 21.8524, grad_norm: 70.7761 2023-11-22 02:42:44,011 - mmseg - INFO - Iter [33300/160000] lr: 7.543e-06, eta: 20:45:13, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4833, decode.loss_mask: 0.6222, decode.loss_dice: 0.9128, decode.d0.loss_cls: 1.6681, decode.d0.loss_mask: 0.6642, decode.d0.loss_dice: 1.0614, decode.d1.loss_cls: 0.5831, decode.d1.loss_mask: 0.6516, decode.d1.loss_dice: 0.9740, decode.d2.loss_cls: 0.5263, decode.d2.loss_mask: 0.6378, decode.d2.loss_dice: 0.9373, decode.d3.loss_cls: 0.5010, decode.d3.loss_mask: 0.6309, decode.d3.loss_dice: 0.9230, decode.d4.loss_cls: 0.4922, decode.d4.loss_mask: 0.6317, decode.d4.loss_dice: 0.9231, decode.d5.loss_cls: 0.4765, decode.d5.loss_mask: 0.6320, decode.d5.loss_dice: 0.9233, decode.d6.loss_cls: 0.4791, decode.d6.loss_mask: 0.6247, decode.d6.loss_dice: 0.9137, decode.d7.loss_cls: 0.4733, decode.d7.loss_mask: 0.6287, decode.d7.loss_dice: 0.9233, decode.d8.loss_cls: 0.4764, decode.d8.loss_mask: 0.6260, decode.d8.loss_dice: 0.9209, loss: 21.9221, grad_norm: 73.7923 2023-11-22 02:43:12,429 - mmseg - INFO - Iter [33350/160000] lr: 7.540e-06, eta: 20:44:39, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4688, decode.loss_mask: 0.6184, decode.loss_dice: 0.8982, decode.d0.loss_cls: 1.6808, decode.d0.loss_mask: 0.6589, decode.d0.loss_dice: 1.0479, decode.d1.loss_cls: 0.5898, decode.d1.loss_mask: 0.6486, decode.d1.loss_dice: 0.9636, decode.d2.loss_cls: 0.5180, decode.d2.loss_mask: 0.6327, decode.d2.loss_dice: 0.9368, decode.d3.loss_cls: 0.4928, decode.d3.loss_mask: 0.6277, decode.d3.loss_dice: 0.9207, decode.d4.loss_cls: 0.4795, decode.d4.loss_mask: 0.6251, decode.d4.loss_dice: 0.9239, decode.d5.loss_cls: 0.4750, decode.d5.loss_mask: 0.6265, decode.d5.loss_dice: 0.9147, decode.d6.loss_cls: 0.4688, decode.d6.loss_mask: 0.6247, decode.d6.loss_dice: 0.9067, decode.d7.loss_cls: 0.4688, decode.d7.loss_mask: 0.6238, decode.d7.loss_dice: 0.9045, decode.d8.loss_cls: 0.4672, decode.d8.loss_mask: 0.6222, decode.d8.loss_dice: 0.9008, loss: 21.7361, grad_norm: 70.1246 2023-11-22 02:43:41,118 - mmseg - INFO - Iter [33400/160000] lr: 7.537e-06, eta: 20:44:07, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4982, decode.loss_mask: 0.6528, decode.loss_dice: 0.9328, decode.d0.loss_cls: 1.7202, decode.d0.loss_mask: 0.6943, decode.d0.loss_dice: 1.0870, decode.d1.loss_cls: 0.6121, decode.d1.loss_mask: 0.6760, decode.d1.loss_dice: 0.9999, decode.d2.loss_cls: 0.5425, decode.d2.loss_mask: 0.6629, decode.d2.loss_dice: 0.9705, decode.d3.loss_cls: 0.5145, decode.d3.loss_mask: 0.6539, decode.d3.loss_dice: 0.9432, decode.d4.loss_cls: 0.5072, decode.d4.loss_mask: 0.6577, decode.d4.loss_dice: 0.9496, decode.d5.loss_cls: 0.5025, decode.d5.loss_mask: 0.6527, decode.d5.loss_dice: 0.9415, decode.d6.loss_cls: 0.5009, decode.d6.loss_mask: 0.6499, decode.d6.loss_dice: 0.9303, decode.d7.loss_cls: 0.4958, decode.d7.loss_mask: 0.6509, decode.d7.loss_dice: 0.9300, decode.d8.loss_cls: 0.4983, decode.d8.loss_mask: 0.6502, decode.d8.loss_dice: 0.9310, loss: 22.6094, grad_norm: 76.4097 2023-11-22 02:44:09,695 - mmseg - INFO - Iter [33450/160000] lr: 7.534e-06, eta: 20:43:34, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4832, decode.loss_mask: 0.6235, decode.loss_dice: 0.9141, decode.d0.loss_cls: 1.6751, decode.d0.loss_mask: 0.6591, decode.d0.loss_dice: 1.0482, decode.d1.loss_cls: 0.5883, decode.d1.loss_mask: 0.6483, decode.d1.loss_dice: 0.9828, decode.d2.loss_cls: 0.5300, decode.d2.loss_mask: 0.6385, decode.d2.loss_dice: 0.9488, decode.d3.loss_cls: 0.5033, decode.d3.loss_mask: 0.6284, decode.d3.loss_dice: 0.9300, decode.d4.loss_cls: 0.4977, decode.d4.loss_mask: 0.6258, decode.d4.loss_dice: 0.9249, decode.d5.loss_cls: 0.4886, decode.d5.loss_mask: 0.6262, decode.d5.loss_dice: 0.9213, decode.d6.loss_cls: 0.4913, decode.d6.loss_mask: 0.6187, decode.d6.loss_dice: 0.9093, decode.d7.loss_cls: 0.4831, decode.d7.loss_mask: 0.6222, decode.d7.loss_dice: 0.9134, decode.d8.loss_cls: 0.4825, decode.d8.loss_mask: 0.6255, decode.d8.loss_dice: 0.9153, loss: 21.9475, grad_norm: 74.3907 2023-11-22 02:44:38,055 - mmseg - INFO - Iter [33500/160000] lr: 7.531e-06, eta: 20:43:00, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4770, decode.loss_mask: 0.6152, decode.loss_dice: 0.8880, decode.d0.loss_cls: 1.6949, decode.d0.loss_mask: 0.6518, decode.d0.loss_dice: 1.0518, decode.d1.loss_cls: 0.6047, decode.d1.loss_mask: 0.6436, decode.d1.loss_dice: 0.9686, decode.d2.loss_cls: 0.5320, decode.d2.loss_mask: 0.6253, decode.d2.loss_dice: 0.9241, decode.d3.loss_cls: 0.5016, decode.d3.loss_mask: 0.6164, decode.d3.loss_dice: 0.9002, decode.d4.loss_cls: 0.4947, decode.d4.loss_mask: 0.6171, decode.d4.loss_dice: 0.8939, decode.d5.loss_cls: 0.4862, decode.d5.loss_mask: 0.6159, decode.d5.loss_dice: 0.8982, decode.d6.loss_cls: 0.4828, decode.d6.loss_mask: 0.6162, decode.d6.loss_dice: 0.8910, decode.d7.loss_cls: 0.4770, decode.d7.loss_mask: 0.6147, decode.d7.loss_dice: 0.8915, decode.d8.loss_cls: 0.4729, decode.d8.loss_mask: 0.6158, decode.d8.loss_dice: 0.8940, loss: 21.6570, grad_norm: 78.3758 2023-11-22 02:45:06,385 - mmseg - INFO - Iter [33550/160000] lr: 7.528e-06, eta: 20:42:27, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4910, decode.loss_mask: 0.6237, decode.loss_dice: 0.9102, decode.d0.loss_cls: 1.7071, decode.d0.loss_mask: 0.6633, decode.d0.loss_dice: 1.0362, decode.d1.loss_cls: 0.5933, decode.d1.loss_mask: 0.6450, decode.d1.loss_dice: 0.9616, decode.d2.loss_cls: 0.5318, decode.d2.loss_mask: 0.6368, decode.d2.loss_dice: 0.9362, decode.d3.loss_cls: 0.5041, decode.d3.loss_mask: 0.6294, decode.d3.loss_dice: 0.9150, decode.d4.loss_cls: 0.4948, decode.d4.loss_mask: 0.6279, decode.d4.loss_dice: 0.9187, decode.d5.loss_cls: 0.4939, decode.d5.loss_mask: 0.6249, decode.d5.loss_dice: 0.9182, decode.d6.loss_cls: 0.4943, decode.d6.loss_mask: 0.6206, decode.d6.loss_dice: 0.9063, decode.d7.loss_cls: 0.4882, decode.d7.loss_mask: 0.6238, decode.d7.loss_dice: 0.9078, decode.d8.loss_cls: 0.4826, decode.d8.loss_mask: 0.6229, decode.d8.loss_dice: 0.9084, loss: 21.9179, grad_norm: 75.6398 2023-11-22 02:45:34,830 - mmseg - INFO - Iter [33600/160000] lr: 7.525e-06, eta: 20:41:53, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.5113, decode.loss_mask: 0.6312, decode.loss_dice: 0.9391, decode.d0.loss_cls: 1.7369, decode.d0.loss_mask: 0.6647, decode.d0.loss_dice: 1.0909, decode.d1.loss_cls: 0.6288, decode.d1.loss_mask: 0.6598, decode.d1.loss_dice: 1.0092, decode.d2.loss_cls: 0.5682, decode.d2.loss_mask: 0.6392, decode.d2.loss_dice: 0.9788, decode.d3.loss_cls: 0.5386, decode.d3.loss_mask: 0.6336, decode.d3.loss_dice: 0.9528, decode.d4.loss_cls: 0.5228, decode.d4.loss_mask: 0.6328, decode.d4.loss_dice: 0.9539, decode.d5.loss_cls: 0.5262, decode.d5.loss_mask: 0.6284, decode.d5.loss_dice: 0.9463, decode.d6.loss_cls: 0.5161, decode.d6.loss_mask: 0.6332, decode.d6.loss_dice: 0.9371, decode.d7.loss_cls: 0.5165, decode.d7.loss_mask: 0.6328, decode.d7.loss_dice: 0.9401, decode.d8.loss_cls: 0.5084, decode.d8.loss_mask: 0.6291, decode.d8.loss_dice: 0.9406, loss: 22.6473, grad_norm: 73.0911 2023-11-22 02:46:03,394 - mmseg - INFO - Iter [33650/160000] lr: 7.522e-06, eta: 20:41:20, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4821, decode.loss_mask: 0.6301, decode.loss_dice: 0.9030, decode.d0.loss_cls: 1.6486, decode.d0.loss_mask: 0.6752, decode.d0.loss_dice: 1.0622, decode.d1.loss_cls: 0.5864, decode.d1.loss_mask: 0.6598, decode.d1.loss_dice: 0.9865, decode.d2.loss_cls: 0.5174, decode.d2.loss_mask: 0.6467, decode.d2.loss_dice: 0.9471, decode.d3.loss_cls: 0.4929, decode.d3.loss_mask: 0.6386, decode.d3.loss_dice: 0.9225, decode.d4.loss_cls: 0.4877, decode.d4.loss_mask: 0.6337, decode.d4.loss_dice: 0.9160, decode.d5.loss_cls: 0.4803, decode.d5.loss_mask: 0.6330, decode.d5.loss_dice: 0.9132, decode.d6.loss_cls: 0.4834, decode.d6.loss_mask: 0.6302, decode.d6.loss_dice: 0.9043, decode.d7.loss_cls: 0.4740, decode.d7.loss_mask: 0.6344, decode.d7.loss_dice: 0.9088, decode.d8.loss_cls: 0.4771, decode.d8.loss_mask: 0.6347, decode.d8.loss_dice: 0.9039, loss: 21.9134, grad_norm: 72.2184 2023-11-22 02:46:32,179 - mmseg - INFO - Iter [33700/160000] lr: 7.519e-06, eta: 20:40:48, time: 0.576, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4885, decode.loss_mask: 0.6519, decode.loss_dice: 0.9333, decode.d0.loss_cls: 1.6903, decode.d0.loss_mask: 0.6873, decode.d0.loss_dice: 1.0844, decode.d1.loss_cls: 0.5987, decode.d1.loss_mask: 0.6744, decode.d1.loss_dice: 1.0019, decode.d2.loss_cls: 0.5232, decode.d2.loss_mask: 0.6603, decode.d2.loss_dice: 0.9683, decode.d3.loss_cls: 0.5067, decode.d3.loss_mask: 0.6517, decode.d3.loss_dice: 0.9439, decode.d4.loss_cls: 0.4988, decode.d4.loss_mask: 0.6455, decode.d4.loss_dice: 0.9416, decode.d5.loss_cls: 0.4977, decode.d5.loss_mask: 0.6485, decode.d5.loss_dice: 0.9417, decode.d6.loss_cls: 0.4860, decode.d6.loss_mask: 0.6488, decode.d6.loss_dice: 0.9307, decode.d7.loss_cls: 0.4813, decode.d7.loss_mask: 0.6482, decode.d7.loss_dice: 0.9344, decode.d8.loss_cls: 0.4867, decode.d8.loss_mask: 0.6521, decode.d8.loss_dice: 0.9368, loss: 22.4439, grad_norm: 73.9679 2023-11-22 02:47:00,786 - mmseg - INFO - Iter [33750/160000] lr: 7.516e-06, eta: 20:40:15, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4743, decode.loss_mask: 0.6175, decode.loss_dice: 0.9062, decode.d0.loss_cls: 1.6749, decode.d0.loss_mask: 0.6525, decode.d0.loss_dice: 1.0547, decode.d1.loss_cls: 0.5959, decode.d1.loss_mask: 0.6391, decode.d1.loss_dice: 0.9619, decode.d2.loss_cls: 0.5168, decode.d2.loss_mask: 0.6288, decode.d2.loss_dice: 0.9324, decode.d3.loss_cls: 0.5006, decode.d3.loss_mask: 0.6179, decode.d3.loss_dice: 0.9084, decode.d4.loss_cls: 0.4861, decode.d4.loss_mask: 0.6192, decode.d4.loss_dice: 0.9129, decode.d5.loss_cls: 0.4838, decode.d5.loss_mask: 0.6188, decode.d5.loss_dice: 0.9105, decode.d6.loss_cls: 0.4817, decode.d6.loss_mask: 0.6152, decode.d6.loss_dice: 0.8992, decode.d7.loss_cls: 0.4701, decode.d7.loss_mask: 0.6176, decode.d7.loss_dice: 0.9020, decode.d8.loss_cls: 0.4737, decode.d8.loss_mask: 0.6170, decode.d8.loss_dice: 0.9032, loss: 21.6928, grad_norm: 78.4766 2023-11-22 02:47:29,231 - mmseg - INFO - Iter [33800/160000] lr: 7.513e-06, eta: 20:39:42, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4980, decode.loss_mask: 0.6388, decode.loss_dice: 0.9198, decode.d0.loss_cls: 1.7116, decode.d0.loss_mask: 0.6864, decode.d0.loss_dice: 1.0599, decode.d1.loss_cls: 0.6077, decode.d1.loss_mask: 0.6673, decode.d1.loss_dice: 0.9785, decode.d2.loss_cls: 0.5424, decode.d2.loss_mask: 0.6508, decode.d2.loss_dice: 0.9472, decode.d3.loss_cls: 0.5157, decode.d3.loss_mask: 0.6432, decode.d3.loss_dice: 0.9250, decode.d4.loss_cls: 0.5097, decode.d4.loss_mask: 0.6421, decode.d4.loss_dice: 0.9264, decode.d5.loss_cls: 0.4955, decode.d5.loss_mask: 0.6438, decode.d5.loss_dice: 0.9228, decode.d6.loss_cls: 0.4843, decode.d6.loss_mask: 0.6446, decode.d6.loss_dice: 0.9196, decode.d7.loss_cls: 0.4890, decode.d7.loss_mask: 0.6417, decode.d7.loss_dice: 0.9172, decode.d8.loss_cls: 0.4940, decode.d8.loss_mask: 0.6383, decode.d8.loss_dice: 0.9150, loss: 22.2763, grad_norm: 71.0879 2023-11-22 02:47:57,558 - mmseg - INFO - Iter [33850/160000] lr: 7.510e-06, eta: 20:39:08, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4622, decode.loss_mask: 0.6369, decode.loss_dice: 0.8980, decode.d0.loss_cls: 1.6318, decode.d0.loss_mask: 0.6687, decode.d0.loss_dice: 1.0427, decode.d1.loss_cls: 0.5648, decode.d1.loss_mask: 0.6610, decode.d1.loss_dice: 0.9538, decode.d2.loss_cls: 0.5075, decode.d2.loss_mask: 0.6491, decode.d2.loss_dice: 0.9252, decode.d3.loss_cls: 0.4803, decode.d3.loss_mask: 0.6399, decode.d3.loss_dice: 0.9027, decode.d4.loss_cls: 0.4762, decode.d4.loss_mask: 0.6394, decode.d4.loss_dice: 0.9036, decode.d5.loss_cls: 0.4749, decode.d5.loss_mask: 0.6398, decode.d5.loss_dice: 0.9016, decode.d6.loss_cls: 0.4679, decode.d6.loss_mask: 0.6357, decode.d6.loss_dice: 0.8965, decode.d7.loss_cls: 0.4666, decode.d7.loss_mask: 0.6384, decode.d7.loss_dice: 0.8977, decode.d8.loss_cls: 0.4703, decode.d8.loss_mask: 0.6394, decode.d8.loss_dice: 0.8974, loss: 21.6703, grad_norm: 75.8711 2023-11-22 02:48:25,825 - mmseg - INFO - Iter [33900/160000] lr: 7.507e-06, eta: 20:38:34, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4911, decode.loss_mask: 0.6454, decode.loss_dice: 0.9185, decode.d0.loss_cls: 1.6484, decode.d0.loss_mask: 0.6838, decode.d0.loss_dice: 1.0652, decode.d1.loss_cls: 0.5841, decode.d1.loss_mask: 0.6700, decode.d1.loss_dice: 0.9818, decode.d2.loss_cls: 0.5231, decode.d2.loss_mask: 0.6596, decode.d2.loss_dice: 0.9511, decode.d3.loss_cls: 0.4983, decode.d3.loss_mask: 0.6474, decode.d3.loss_dice: 0.9272, decode.d4.loss_cls: 0.4933, decode.d4.loss_mask: 0.6475, decode.d4.loss_dice: 0.9318, decode.d5.loss_cls: 0.4952, decode.d5.loss_mask: 0.6469, decode.d5.loss_dice: 0.9204, decode.d6.loss_cls: 0.4882, decode.d6.loss_mask: 0.6469, decode.d6.loss_dice: 0.9205, decode.d7.loss_cls: 0.4878, decode.d7.loss_mask: 0.6454, decode.d7.loss_dice: 0.9203, decode.d8.loss_cls: 0.4912, decode.d8.loss_mask: 0.6452, decode.d8.loss_dice: 0.9234, loss: 22.1989, grad_norm: 78.9104 2023-11-22 02:48:54,228 - mmseg - INFO - Iter [33950/160000] lr: 7.504e-06, eta: 20:38:01, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4900, decode.loss_mask: 0.6337, decode.loss_dice: 0.9178, decode.d0.loss_cls: 1.7045, decode.d0.loss_mask: 0.6799, decode.d0.loss_dice: 1.0571, decode.d1.loss_cls: 0.6090, decode.d1.loss_mask: 0.6561, decode.d1.loss_dice: 0.9719, decode.d2.loss_cls: 0.5353, decode.d2.loss_mask: 0.6463, decode.d2.loss_dice: 0.9408, decode.d3.loss_cls: 0.5160, decode.d3.loss_mask: 0.6386, decode.d3.loss_dice: 0.9194, decode.d4.loss_cls: 0.5067, decode.d4.loss_mask: 0.6353, decode.d4.loss_dice: 0.9223, decode.d5.loss_cls: 0.4936, decode.d5.loss_mask: 0.6373, decode.d5.loss_dice: 0.9170, decode.d6.loss_cls: 0.4920, decode.d6.loss_mask: 0.6345, decode.d6.loss_dice: 0.9143, decode.d7.loss_cls: 0.4909, decode.d7.loss_mask: 0.6327, decode.d7.loss_dice: 0.9152, decode.d8.loss_cls: 0.4910, decode.d8.loss_mask: 0.6320, decode.d8.loss_dice: 0.9178, loss: 22.1488, grad_norm: 72.5998 2023-11-22 02:49:22,892 - mmseg - INFO - Saving checkpoint at 34000 iterations 2023-11-22 02:49:30,426 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 02:49:30,426 - mmseg - INFO - Iter [34000/160000] lr: 7.501e-06, eta: 20:37:57, time: 0.724, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5112, decode.loss_mask: 0.6357, decode.loss_dice: 0.9317, decode.d0.loss_cls: 1.7168, decode.d0.loss_mask: 0.6872, decode.d0.loss_dice: 1.0910, decode.d1.loss_cls: 0.6220, decode.d1.loss_mask: 0.6642, decode.d1.loss_dice: 1.0009, decode.d2.loss_cls: 0.5596, decode.d2.loss_mask: 0.6502, decode.d2.loss_dice: 0.9671, decode.d3.loss_cls: 0.5344, decode.d3.loss_mask: 0.6386, decode.d3.loss_dice: 0.9400, decode.d4.loss_cls: 0.5176, decode.d4.loss_mask: 0.6433, decode.d4.loss_dice: 0.9433, decode.d5.loss_cls: 0.5111, decode.d5.loss_mask: 0.6409, decode.d5.loss_dice: 0.9421, decode.d6.loss_cls: 0.5228, decode.d6.loss_mask: 0.6366, decode.d6.loss_dice: 0.9283, decode.d7.loss_cls: 0.5116, decode.d7.loss_mask: 0.6379, decode.d7.loss_dice: 0.9309, decode.d8.loss_cls: 0.5139, decode.d8.loss_mask: 0.6348, decode.d8.loss_dice: 0.9318, loss: 22.5976, grad_norm: 72.8346 2023-11-22 02:49:50,113 - mmseg - INFO - per class results: 2023-11-22 02:49:50,118 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.06 | 88.76 | | building | 83.14 | 92.57 | | sky | 94.95 | 97.46 | | floor | 84.52 | 90.08 | | tree | 75.94 | 89.97 | | ceiling | 85.52 | 92.29 | | road | 84.01 | 89.45 | | bed | 91.79 | 95.79 | | windowpane | 64.98 | 82.74 | | grass | 68.17 | 78.35 | | cabinet | 61.82 | 76.85 | | sidewalk | 64.83 | 85.83 | | person | 86.27 | 94.24 | | earth | 38.08 | 51.28 | | door | 53.42 | 68.51 | | table | 66.85 | 82.27 | | mountain | 63.79 | 83.19 | | plant | 54.26 | 65.94 | | curtain | 75.23 | 87.04 | | chair | 65.04 | 75.79 | | car | 88.04 | 93.54 | | water | 50.57 | 62.77 | | painting | 76.96 | 89.19 | | sofa | 74.43 | 90.96 | | shelf | 50.84 | 69.09 | | house | 22.46 | 23.33 | | sea | 57.17 | 90.88 | | mirror | 71.43 | 84.92 | | rug | 70.74 | 84.97 | | field | 33.14 | 64.89 | | armchair | 46.04 | 65.2 | | seat | 68.62 | 87.77 | | fence | 50.38 | 69.32 | | desk | 49.29 | 67.15 | | rock | 43.42 | 52.9 | | wardrobe | 32.21 | 42.17 | | lamp | 72.41 | 84.46 | | bathtub | 79.36 | 84.74 | | railing | 42.21 | 68.77 | | cushion | 62.95 | 70.2 | | base | 38.34 | 52.97 | | box | 35.63 | 50.95 | | column | 53.24 | 73.69 | | signboard | 42.67 | 60.75 | | chest of drawers | 39.83 | 58.74 | | counter | 40.54 | 61.45 | | sand | 36.6 | 52.23 | | sink | 74.42 | 85.72 | | skyscraper | 34.35 | 44.09 | | fireplace | 74.16 | 90.37 | | refrigerator | 82.76 | 89.88 | | grandstand | 47.15 | 79.65 | | path | 18.99 | 25.05 | | stairs | 40.97 | 47.51 | | runway | 76.65 | 88.11 | | case | 56.02 | 73.73 | | pool table | 95.31 | 97.6 | | pillow | 63.29 | 85.64 | | screen door | 78.51 | 89.44 | | stairway | 33.22 | 49.08 | | river | 15.96 | 33.54 | | bridge | 75.55 | 87.65 | | bookcase | 38.35 | 44.99 | | blind | 40.59 | 46.87 | | coffee table | 62.22 | 87.17 | | toilet | 90.56 | 94.16 | | flower | 40.43 | 63.85 | | book | 54.06 | 84.02 | | hill | 7.5 | 11.88 | | bench | 68.73 | 78.9 | | countertop | 61.62 | 78.19 | | stove | 80.94 | 87.19 | | palm | 52.34 | 84.81 | | kitchen island | 47.14 | 74.85 | | computer | 78.34 | 85.64 | | swivel chair | 52.24 | 76.23 | | boat | 69.01 | 93.47 | | bar | 24.15 | 25.29 | | arcade machine | 34.67 | 36.42 | | hovel | 44.77 | 49.82 | | bus | 88.76 | 97.11 | | towel | 72.12 | 89.58 | | light | 62.84 | 75.54 | | truck | 39.66 | 51.95 | | tower | 14.65 | 25.61 | | chandelier | 71.13 | 80.8 | | awning | 30.07 | 49.49 | | streetlight | 44.32 | 66.83 | | booth | 32.97 | 38.54 | | television receiver | 75.49 | 91.08 | | airplane | 67.74 | 72.75 | | dirt track | 2.61 | 4.03 | | apparel | 36.89 | 51.0 | | pole | 36.13 | 59.18 | | land | 0.28 | 0.37 | | bannister | 11.08 | 17.42 | | escalator | 11.05 | 11.38 | | ottoman | 57.07 | 79.93 | | bottle | 32.96 | 45.31 | | buffet | 37.46 | 51.65 | | poster | 36.48 | 55.21 | | stage | 22.54 | 30.69 | | van | 42.15 | 70.48 | | ship | 7.88 | 10.63 | | fountain | 28.76 | 33.81 | | conveyer belt | 67.41 | 91.99 | | canopy | 35.28 | 44.27 | | washer | 71.46 | 74.7 | | plaything | 38.73 | 57.87 | | swimming pool | 42.24 | 50.59 | | stool | 50.68 | 68.26 | | barrel | 73.82 | 83.99 | | basket | 37.74 | 67.49 | | waterfall | 60.34 | 86.64 | | tent | 90.72 | 96.54 | | bag | 24.47 | 35.03 | | minibike | 76.23 | 89.4 | | cradle | 90.72 | 97.0 | | oven | 22.24 | 61.75 | | ball | 52.1 | 67.83 | | food | 66.72 | 78.2 | | step | 26.86 | 42.15 | | tank | 35.8 | 45.44 | | trade name | 38.6 | 51.7 | | microwave | 42.38 | 46.93 | | pot | 54.75 | 78.51 | | animal | 74.68 | 77.24 | | bicycle | 60.54 | 84.3 | | lake | 0.0 | 0.0 | | dishwasher | 80.27 | 88.95 | | screen | 55.93 | 86.05 | | blanket | 37.05 | 51.92 | | sculpture | 48.21 | 89.76 | | hood | 85.61 | 94.37 | | sconce | 61.85 | 76.25 | | vase | 49.19 | 81.89 | | traffic light | 44.03 | 75.03 | | tray | 24.03 | 35.75 | | ashcan | 45.21 | 65.39 | | fan | 67.93 | 87.42 | | pier | 28.22 | 38.93 | | crt screen | 5.86 | 15.45 | | plate | 66.03 | 81.0 | | monitor | 3.43 | 3.82 | | bulletin board | 40.7 | 72.56 | | shower | 13.46 | 26.6 | | radiator | 67.69 | 84.04 | | glass | 25.15 | 28.65 | | clock | 35.8 | 48.35 | | flag | 70.31 | 85.48 | +---------------------+-------+-------+ 2023-11-22 02:49:50,118 - mmseg - INFO - Summary: 2023-11-22 02:49:50,118 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.45 | 52.28 | 66.35 | +-------+-------+-------+ 2023-11-22 02:49:50,119 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 02:49:50,120 - mmseg - INFO - Iter(val) [250] aAcc: 0.8445, mIoU: 0.5228, mAcc: 0.6635, IoU.wall: 0.8106, IoU.building: 0.8314, IoU.sky: 0.9495, IoU.floor: 0.8452, IoU.tree: 0.7594, IoU.ceiling: 0.8552, IoU.road: 0.8401, IoU.bed : 0.9179, IoU.windowpane: 0.6498, IoU.grass: 0.6817, IoU.cabinet: 0.6182, IoU.sidewalk: 0.6483, IoU.person: 0.8627, IoU.earth: 0.3808, IoU.door: 0.5342, IoU.table: 0.6685, IoU.mountain: 0.6379, IoU.plant: 0.5426, IoU.curtain: 0.7523, IoU.chair: 0.6504, IoU.car: 0.8804, IoU.water: 0.5057, IoU.painting: 0.7696, IoU.sofa: 0.7443, IoU.shelf: 0.5084, IoU.house: 0.2246, IoU.sea: 0.5717, IoU.mirror: 0.7143, IoU.rug: 0.7074, IoU.field: 0.3314, IoU.armchair: 0.4604, IoU.seat: 0.6862, IoU.fence: 0.5038, IoU.desk: 0.4929, IoU.rock: 0.4342, IoU.wardrobe: 0.3221, IoU.lamp: 0.7241, IoU.bathtub: 0.7936, IoU.railing: 0.4221, IoU.cushion: 0.6295, IoU.base: 0.3834, IoU.box: 0.3563, IoU.column: 0.5324, IoU.signboard: 0.4267, IoU.chest of drawers: 0.3983, IoU.counter: 0.4054, IoU.sand: 0.3660, IoU.sink: 0.7442, IoU.skyscraper: 0.3435, IoU.fireplace: 0.7416, IoU.refrigerator: 0.8276, IoU.grandstand: 0.4715, IoU.path: 0.1899, IoU.stairs: 0.4097, IoU.runway: 0.7665, IoU.case: 0.5602, IoU.pool table: 0.9531, IoU.pillow: 0.6329, IoU.screen door: 0.7851, IoU.stairway: 0.3322, IoU.river: 0.1596, IoU.bridge: 0.7555, IoU.bookcase: 0.3835, IoU.blind: 0.4059, IoU.coffee table: 0.6222, IoU.toilet: 0.9056, IoU.flower: 0.4043, IoU.book: 0.5406, IoU.hill: 0.0750, IoU.bench: 0.6873, IoU.countertop: 0.6162, IoU.stove: 0.8094, IoU.palm: 0.5234, IoU.kitchen island: 0.4714, IoU.computer: 0.7834, IoU.swivel chair: 0.5224, IoU.boat: 0.6901, IoU.bar: 0.2415, IoU.arcade machine: 0.3467, IoU.hovel: 0.4477, IoU.bus: 0.8876, IoU.towel: 0.7212, IoU.light: 0.6284, IoU.truck: 0.3966, IoU.tower: 0.1465, IoU.chandelier: 0.7113, IoU.awning: 0.3007, IoU.streetlight: 0.4432, IoU.booth: 0.3297, IoU.television receiver: 0.7549, IoU.airplane: 0.6774, IoU.dirt track: 0.0261, IoU.apparel: 0.3689, IoU.pole: 0.3613, IoU.land: 0.0028, IoU.bannister: 0.1108, IoU.escalator: 0.1105, IoU.ottoman: 0.5707, IoU.bottle: 0.3296, IoU.buffet: 0.3746, IoU.poster: 0.3648, IoU.stage: 0.2254, IoU.van: 0.4215, IoU.ship: 0.0788, IoU.fountain: 0.2876, IoU.conveyer belt: 0.6741, IoU.canopy: 0.3528, IoU.washer: 0.7146, IoU.plaything: 0.3873, IoU.swimming pool: 0.4224, IoU.stool: 0.5068, IoU.barrel: 0.7382, IoU.basket: 0.3774, IoU.waterfall: 0.6034, IoU.tent: 0.9072, IoU.bag: 0.2447, IoU.minibike: 0.7623, IoU.cradle: 0.9072, IoU.oven: 0.2224, IoU.ball: 0.5210, IoU.food: 0.6672, IoU.step: 0.2686, IoU.tank: 0.3580, IoU.trade name: 0.3860, IoU.microwave: 0.4238, IoU.pot: 0.5475, IoU.animal: 0.7468, IoU.bicycle: 0.6054, IoU.lake: 0.0000, IoU.dishwasher: 0.8027, IoU.screen: 0.5593, IoU.blanket: 0.3705, IoU.sculpture: 0.4821, IoU.hood: 0.8561, IoU.sconce: 0.6185, IoU.vase: 0.4919, IoU.traffic light: 0.4403, IoU.tray: 0.2403, IoU.ashcan: 0.4521, IoU.fan: 0.6793, IoU.pier: 0.2822, IoU.crt screen: 0.0586, IoU.plate: 0.6603, IoU.monitor: 0.0343, IoU.bulletin board: 0.4070, IoU.shower: 0.1346, IoU.radiator: 0.6769, IoU.glass: 0.2515, IoU.clock: 0.3580, IoU.flag: 0.7031, Acc.wall: 0.8876, Acc.building: 0.9257, Acc.sky: 0.9746, Acc.floor: 0.9008, Acc.tree: 0.8997, Acc.ceiling: 0.9229, Acc.road: 0.8945, Acc.bed : 0.9579, Acc.windowpane: 0.8274, Acc.grass: 0.7835, Acc.cabinet: 0.7685, Acc.sidewalk: 0.8583, Acc.person: 0.9424, Acc.earth: 0.5128, Acc.door: 0.6851, Acc.table: 0.8227, Acc.mountain: 0.8319, Acc.plant: 0.6594, Acc.curtain: 0.8704, Acc.chair: 0.7579, Acc.car: 0.9354, Acc.water: 0.6277, Acc.painting: 0.8919, Acc.sofa: 0.9096, Acc.shelf: 0.6909, Acc.house: 0.2333, Acc.sea: 0.9088, Acc.mirror: 0.8492, Acc.rug: 0.8497, Acc.field: 0.6489, Acc.armchair: 0.6520, Acc.seat: 0.8777, Acc.fence: 0.6932, Acc.desk: 0.6715, Acc.rock: 0.5290, Acc.wardrobe: 0.4217, Acc.lamp: 0.8446, Acc.bathtub: 0.8474, Acc.railing: 0.6877, Acc.cushion: 0.7020, Acc.base: 0.5297, Acc.box: 0.5095, Acc.column: 0.7369, Acc.signboard: 0.6075, Acc.chest of drawers: 0.5874, Acc.counter: 0.6145, Acc.sand: 0.5223, Acc.sink: 0.8572, Acc.skyscraper: 0.4409, Acc.fireplace: 0.9037, Acc.refrigerator: 0.8988, Acc.grandstand: 0.7965, Acc.path: 0.2505, Acc.stairs: 0.4751, Acc.runway: 0.8811, Acc.case: 0.7373, Acc.pool table: 0.9760, Acc.pillow: 0.8564, Acc.screen door: 0.8944, Acc.stairway: 0.4908, Acc.river: 0.3354, Acc.bridge: 0.8765, Acc.bookcase: 0.4499, Acc.blind: 0.4687, Acc.coffee table: 0.8717, Acc.toilet: 0.9416, Acc.flower: 0.6385, Acc.book: 0.8402, Acc.hill: 0.1188, Acc.bench: 0.7890, Acc.countertop: 0.7819, Acc.stove: 0.8719, Acc.palm: 0.8481, Acc.kitchen island: 0.7485, Acc.computer: 0.8564, Acc.swivel chair: 0.7623, Acc.boat: 0.9347, Acc.bar: 0.2529, Acc.arcade machine: 0.3642, Acc.hovel: 0.4982, Acc.bus: 0.9711, Acc.towel: 0.8958, Acc.light: 0.7554, Acc.truck: 0.5195, Acc.tower: 0.2561, Acc.chandelier: 0.8080, Acc.awning: 0.4949, Acc.streetlight: 0.6683, Acc.booth: 0.3854, Acc.television receiver: 0.9108, Acc.airplane: 0.7275, Acc.dirt track: 0.0403, Acc.apparel: 0.5100, Acc.pole: 0.5918, Acc.land: 0.0037, Acc.bannister: 0.1742, Acc.escalator: 0.1138, Acc.ottoman: 0.7993, Acc.bottle: 0.4531, Acc.buffet: 0.5165, Acc.poster: 0.5521, Acc.stage: 0.3069, Acc.van: 0.7048, Acc.ship: 0.1063, Acc.fountain: 0.3381, Acc.conveyer belt: 0.9199, Acc.canopy: 0.4427, Acc.washer: 0.7470, Acc.plaything: 0.5787, Acc.swimming pool: 0.5059, Acc.stool: 0.6826, Acc.barrel: 0.8399, Acc.basket: 0.6749, Acc.waterfall: 0.8664, Acc.tent: 0.9654, Acc.bag: 0.3503, Acc.minibike: 0.8940, Acc.cradle: 0.9700, Acc.oven: 0.6175, Acc.ball: 0.6783, Acc.food: 0.7820, Acc.step: 0.4215, Acc.tank: 0.4544, Acc.trade name: 0.5170, Acc.microwave: 0.4693, Acc.pot: 0.7851, Acc.animal: 0.7724, Acc.bicycle: 0.8430, Acc.lake: 0.0000, Acc.dishwasher: 0.8895, Acc.screen: 0.8605, Acc.blanket: 0.5192, Acc.sculpture: 0.8976, Acc.hood: 0.9437, Acc.sconce: 0.7625, Acc.vase: 0.8189, Acc.traffic light: 0.7503, Acc.tray: 0.3575, Acc.ashcan: 0.6539, Acc.fan: 0.8742, Acc.pier: 0.3893, Acc.crt screen: 0.1545, Acc.plate: 0.8100, Acc.monitor: 0.0382, Acc.bulletin board: 0.7256, Acc.shower: 0.2660, Acc.radiator: 0.8404, Acc.glass: 0.2865, Acc.clock: 0.4835, Acc.flag: 0.8548 2023-11-22 02:50:18,307 - mmseg - INFO - Iter [34050/160000] lr: 7.498e-06, eta: 20:38:35, time: 0.958, data_time: 0.407, memory: 38143, decode.loss_cls: 0.5089, decode.loss_mask: 0.6340, decode.loss_dice: 0.9285, decode.d0.loss_cls: 1.7446, decode.d0.loss_mask: 0.6827, decode.d0.loss_dice: 1.0824, decode.d1.loss_cls: 0.6339, decode.d1.loss_mask: 0.6636, decode.d1.loss_dice: 0.9934, decode.d2.loss_cls: 0.5626, decode.d2.loss_mask: 0.6519, decode.d2.loss_dice: 0.9527, decode.d3.loss_cls: 0.5283, decode.d3.loss_mask: 0.6439, decode.d3.loss_dice: 0.9410, decode.d4.loss_cls: 0.5198, decode.d4.loss_mask: 0.6420, decode.d4.loss_dice: 0.9471, decode.d5.loss_cls: 0.5152, decode.d5.loss_mask: 0.6452, decode.d5.loss_dice: 0.9400, decode.d6.loss_cls: 0.5054, decode.d6.loss_mask: 0.6394, decode.d6.loss_dice: 0.9332, decode.d7.loss_cls: 0.5053, decode.d7.loss_mask: 0.6394, decode.d7.loss_dice: 0.9329, decode.d8.loss_cls: 0.5064, decode.d8.loss_mask: 0.6365, decode.d8.loss_dice: 0.9287, loss: 22.5889, grad_norm: 72.0916 2023-11-22 02:50:46,747 - mmseg - INFO - Iter [34100/160000] lr: 7.495e-06, eta: 20:38:02, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4787, decode.loss_mask: 0.6430, decode.loss_dice: 0.9273, decode.d0.loss_cls: 1.6445, decode.d0.loss_mask: 0.6842, decode.d0.loss_dice: 1.0832, decode.d1.loss_cls: 0.5834, decode.d1.loss_mask: 0.6721, decode.d1.loss_dice: 0.9972, decode.d2.loss_cls: 0.5236, decode.d2.loss_mask: 0.6559, decode.d2.loss_dice: 0.9627, decode.d3.loss_cls: 0.5045, decode.d3.loss_mask: 0.6431, decode.d3.loss_dice: 0.9410, decode.d4.loss_cls: 0.4989, decode.d4.loss_mask: 0.6435, decode.d4.loss_dice: 0.9366, decode.d5.loss_cls: 0.4837, decode.d5.loss_mask: 0.6440, decode.d5.loss_dice: 0.9364, decode.d6.loss_cls: 0.4851, decode.d6.loss_mask: 0.6430, decode.d6.loss_dice: 0.9299, decode.d7.loss_cls: 0.4771, decode.d7.loss_mask: 0.6400, decode.d7.loss_dice: 0.9305, decode.d8.loss_cls: 0.4767, decode.d8.loss_mask: 0.6413, decode.d8.loss_dice: 0.9290, loss: 22.2398, grad_norm: 74.4009 2023-11-22 02:51:17,544 - mmseg - INFO - Iter [34150/160000] lr: 7.492e-06, eta: 20:37:37, time: 0.616, data_time: 0.061, memory: 38143, decode.loss_cls: 0.4885, decode.loss_mask: 0.5972, decode.loss_dice: 0.8998, decode.d0.loss_cls: 1.7277, decode.d0.loss_mask: 0.6362, decode.d0.loss_dice: 1.0494, decode.d1.loss_cls: 0.6009, decode.d1.loss_mask: 0.6229, decode.d1.loss_dice: 0.9659, decode.d2.loss_cls: 0.5337, decode.d2.loss_mask: 0.6078, decode.d2.loss_dice: 0.9268, decode.d3.loss_cls: 0.5014, decode.d3.loss_mask: 0.5969, decode.d3.loss_dice: 0.9025, decode.d4.loss_cls: 0.4953, decode.d4.loss_mask: 0.6009, decode.d4.loss_dice: 0.9040, decode.d5.loss_cls: 0.4917, decode.d5.loss_mask: 0.6010, decode.d5.loss_dice: 0.9101, decode.d6.loss_cls: 0.4827, decode.d6.loss_mask: 0.5977, decode.d6.loss_dice: 0.9030, decode.d7.loss_cls: 0.4820, decode.d7.loss_mask: 0.6000, decode.d7.loss_dice: 0.9037, decode.d8.loss_cls: 0.4886, decode.d8.loss_mask: 0.5989, decode.d8.loss_dice: 0.9005, loss: 21.6178, grad_norm: 68.5818 2023-11-22 02:51:45,713 - mmseg - INFO - Iter [34200/160000] lr: 7.489e-06, eta: 20:37:03, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4531, decode.loss_mask: 0.6299, decode.loss_dice: 0.8994, decode.d0.loss_cls: 1.6692, decode.d0.loss_mask: 0.6711, decode.d0.loss_dice: 1.0574, decode.d1.loss_cls: 0.5650, decode.d1.loss_mask: 0.6571, decode.d1.loss_dice: 0.9716, decode.d2.loss_cls: 0.5063, decode.d2.loss_mask: 0.6434, decode.d2.loss_dice: 0.9281, decode.d3.loss_cls: 0.4712, decode.d3.loss_mask: 0.6336, decode.d3.loss_dice: 0.9131, decode.d4.loss_cls: 0.4718, decode.d4.loss_mask: 0.6317, decode.d4.loss_dice: 0.9071, decode.d5.loss_cls: 0.4700, decode.d5.loss_mask: 0.6287, decode.d5.loss_dice: 0.9049, decode.d6.loss_cls: 0.4570, decode.d6.loss_mask: 0.6301, decode.d6.loss_dice: 0.8952, decode.d7.loss_cls: 0.4505, decode.d7.loss_mask: 0.6332, decode.d7.loss_dice: 0.8986, decode.d8.loss_cls: 0.4505, decode.d8.loss_mask: 0.6296, decode.d8.loss_dice: 0.8991, loss: 21.6274, grad_norm: 75.1626 2023-11-22 02:52:13,889 - mmseg - INFO - Iter [34250/160000] lr: 7.486e-06, eta: 20:36:28, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4650, decode.loss_mask: 0.6369, decode.loss_dice: 0.8877, decode.d0.loss_cls: 1.6437, decode.d0.loss_mask: 0.6752, decode.d0.loss_dice: 1.0489, decode.d1.loss_cls: 0.5720, decode.d1.loss_mask: 0.6607, decode.d1.loss_dice: 0.9692, decode.d2.loss_cls: 0.5105, decode.d2.loss_mask: 0.6460, decode.d2.loss_dice: 0.9197, decode.d3.loss_cls: 0.4895, decode.d3.loss_mask: 0.6415, decode.d3.loss_dice: 0.9059, decode.d4.loss_cls: 0.4798, decode.d4.loss_mask: 0.6414, decode.d4.loss_dice: 0.9041, decode.d5.loss_cls: 0.4710, decode.d5.loss_mask: 0.6439, decode.d5.loss_dice: 0.9089, decode.d6.loss_cls: 0.4742, decode.d6.loss_mask: 0.6372, decode.d6.loss_dice: 0.8947, decode.d7.loss_cls: 0.4641, decode.d7.loss_mask: 0.6386, decode.d7.loss_dice: 0.8948, decode.d8.loss_cls: 0.4658, decode.d8.loss_mask: 0.6375, decode.d8.loss_dice: 0.8979, loss: 21.7262, grad_norm: 76.9443 2023-11-22 02:52:42,456 - mmseg - INFO - Iter [34300/160000] lr: 7.483e-06, eta: 20:35:55, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4768, decode.loss_mask: 0.6228, decode.loss_dice: 0.8947, decode.d0.loss_cls: 1.6708, decode.d0.loss_mask: 0.6583, decode.d0.loss_dice: 1.0506, decode.d1.loss_cls: 0.5913, decode.d1.loss_mask: 0.6490, decode.d1.loss_dice: 0.9615, decode.d2.loss_cls: 0.5210, decode.d2.loss_mask: 0.6289, decode.d2.loss_dice: 0.9266, decode.d3.loss_cls: 0.4900, decode.d3.loss_mask: 0.6259, decode.d3.loss_dice: 0.9035, decode.d4.loss_cls: 0.4876, decode.d4.loss_mask: 0.6275, decode.d4.loss_dice: 0.9043, decode.d5.loss_cls: 0.4839, decode.d5.loss_mask: 0.6263, decode.d5.loss_dice: 0.9087, decode.d6.loss_cls: 0.4728, decode.d6.loss_mask: 0.6243, decode.d6.loss_dice: 0.8963, decode.d7.loss_cls: 0.4751, decode.d7.loss_mask: 0.6237, decode.d7.loss_dice: 0.8926, decode.d8.loss_cls: 0.4706, decode.d8.loss_mask: 0.6275, decode.d8.loss_dice: 0.8982, loss: 21.6910, grad_norm: 75.5144 2023-11-22 02:53:10,734 - mmseg - INFO - Iter [34350/160000] lr: 7.480e-06, eta: 20:35:21, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4729, decode.loss_mask: 0.6203, decode.loss_dice: 0.8838, decode.d0.loss_cls: 1.6838, decode.d0.loss_mask: 0.6509, decode.d0.loss_dice: 1.0325, decode.d1.loss_cls: 0.5977, decode.d1.loss_mask: 0.6420, decode.d1.loss_dice: 0.9445, decode.d2.loss_cls: 0.5358, decode.d2.loss_mask: 0.6248, decode.d2.loss_dice: 0.9033, decode.d3.loss_cls: 0.5037, decode.d3.loss_mask: 0.6243, decode.d3.loss_dice: 0.8931, decode.d4.loss_cls: 0.4860, decode.d4.loss_mask: 0.6221, decode.d4.loss_dice: 0.8986, decode.d5.loss_cls: 0.4850, decode.d5.loss_mask: 0.6197, decode.d5.loss_dice: 0.8847, decode.d6.loss_cls: 0.4749, decode.d6.loss_mask: 0.6173, decode.d6.loss_dice: 0.8873, decode.d7.loss_cls: 0.4742, decode.d7.loss_mask: 0.6177, decode.d7.loss_dice: 0.8865, decode.d8.loss_cls: 0.4676, decode.d8.loss_mask: 0.6207, decode.d8.loss_dice: 0.8875, loss: 21.5434, grad_norm: 73.3020 2023-11-22 02:53:38,983 - mmseg - INFO - Iter [34400/160000] lr: 7.477e-06, eta: 20:34:47, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4665, decode.loss_mask: 0.6046, decode.loss_dice: 0.8657, decode.d0.loss_cls: 1.6499, decode.d0.loss_mask: 0.6517, decode.d0.loss_dice: 1.0312, decode.d1.loss_cls: 0.5814, decode.d1.loss_mask: 0.6335, decode.d1.loss_dice: 0.9388, decode.d2.loss_cls: 0.5106, decode.d2.loss_mask: 0.6201, decode.d2.loss_dice: 0.9026, decode.d3.loss_cls: 0.4870, decode.d3.loss_mask: 0.6135, decode.d3.loss_dice: 0.8918, decode.d4.loss_cls: 0.4775, decode.d4.loss_mask: 0.6097, decode.d4.loss_dice: 0.8836, decode.d5.loss_cls: 0.4753, decode.d5.loss_mask: 0.6086, decode.d5.loss_dice: 0.8800, decode.d6.loss_cls: 0.4656, decode.d6.loss_mask: 0.6085, decode.d6.loss_dice: 0.8734, decode.d7.loss_cls: 0.4717, decode.d7.loss_mask: 0.6049, decode.d7.loss_dice: 0.8681, decode.d8.loss_cls: 0.4690, decode.d8.loss_mask: 0.6039, decode.d8.loss_dice: 0.8699, loss: 21.2187, grad_norm: 70.4101 2023-11-22 02:54:07,171 - mmseg - INFO - Iter [34450/160000] lr: 7.474e-06, eta: 20:34:13, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4703, decode.loss_mask: 0.6503, decode.loss_dice: 0.9035, decode.d0.loss_cls: 1.6533, decode.d0.loss_mask: 0.6856, decode.d0.loss_dice: 1.0436, decode.d1.loss_cls: 0.5697, decode.d1.loss_mask: 0.6739, decode.d1.loss_dice: 0.9712, decode.d2.loss_cls: 0.5165, decode.d2.loss_mask: 0.6621, decode.d2.loss_dice: 0.9265, decode.d3.loss_cls: 0.4962, decode.d3.loss_mask: 0.6546, decode.d3.loss_dice: 0.9162, decode.d4.loss_cls: 0.4849, decode.d4.loss_mask: 0.6552, decode.d4.loss_dice: 0.9168, decode.d5.loss_cls: 0.4750, decode.d5.loss_mask: 0.6521, decode.d5.loss_dice: 0.9108, decode.d6.loss_cls: 0.4678, decode.d6.loss_mask: 0.6498, decode.d6.loss_dice: 0.9069, decode.d7.loss_cls: 0.4671, decode.d7.loss_mask: 0.6499, decode.d7.loss_dice: 0.9090, decode.d8.loss_cls: 0.4711, decode.d8.loss_mask: 0.6525, decode.d8.loss_dice: 0.9046, loss: 21.9668, grad_norm: 75.9603 2023-11-22 02:54:35,311 - mmseg - INFO - Iter [34500/160000] lr: 7.471e-06, eta: 20:33:39, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4679, decode.loss_mask: 0.6220, decode.loss_dice: 0.9037, decode.d0.loss_cls: 1.6401, decode.d0.loss_mask: 0.6647, decode.d0.loss_dice: 1.0514, decode.d1.loss_cls: 0.5726, decode.d1.loss_mask: 0.6548, decode.d1.loss_dice: 0.9796, decode.d2.loss_cls: 0.5152, decode.d2.loss_mask: 0.6381, decode.d2.loss_dice: 0.9425, decode.d3.loss_cls: 0.4889, decode.d3.loss_mask: 0.6307, decode.d3.loss_dice: 0.9228, decode.d4.loss_cls: 0.4804, decode.d4.loss_mask: 0.6286, decode.d4.loss_dice: 0.9236, decode.d5.loss_cls: 0.4752, decode.d5.loss_mask: 0.6288, decode.d5.loss_dice: 0.9201, decode.d6.loss_cls: 0.4666, decode.d6.loss_mask: 0.6246, decode.d6.loss_dice: 0.9097, decode.d7.loss_cls: 0.4655, decode.d7.loss_mask: 0.6248, decode.d7.loss_dice: 0.9156, decode.d8.loss_cls: 0.4694, decode.d8.loss_mask: 0.6239, decode.d8.loss_dice: 0.9107, loss: 21.7624, grad_norm: 80.2131 2023-11-22 02:55:03,642 - mmseg - INFO - Iter [34550/160000] lr: 7.468e-06, eta: 20:33:05, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4821, decode.loss_mask: 0.6379, decode.loss_dice: 0.8991, decode.d0.loss_cls: 1.6706, decode.d0.loss_mask: 0.6826, decode.d0.loss_dice: 1.0545, decode.d1.loss_cls: 0.5929, decode.d1.loss_mask: 0.6621, decode.d1.loss_dice: 0.9736, decode.d2.loss_cls: 0.5295, decode.d2.loss_mask: 0.6541, decode.d2.loss_dice: 0.9296, decode.d3.loss_cls: 0.5057, decode.d3.loss_mask: 0.6481, decode.d3.loss_dice: 0.9128, decode.d4.loss_cls: 0.4992, decode.d4.loss_mask: 0.6477, decode.d4.loss_dice: 0.9154, decode.d5.loss_cls: 0.4891, decode.d5.loss_mask: 0.6422, decode.d5.loss_dice: 0.9146, decode.d6.loss_cls: 0.4838, decode.d6.loss_mask: 0.6398, decode.d6.loss_dice: 0.9092, decode.d7.loss_cls: 0.4815, decode.d7.loss_mask: 0.6371, decode.d7.loss_dice: 0.9109, decode.d8.loss_cls: 0.4812, decode.d8.loss_mask: 0.6385, decode.d8.loss_dice: 0.9089, loss: 22.0344, grad_norm: 74.6798 2023-11-22 02:55:32,273 - mmseg - INFO - Iter [34600/160000] lr: 7.465e-06, eta: 20:32:32, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4843, decode.loss_mask: 0.6263, decode.loss_dice: 0.9450, decode.d0.loss_cls: 1.7199, decode.d0.loss_mask: 0.6654, decode.d0.loss_dice: 1.1041, decode.d1.loss_cls: 0.6047, decode.d1.loss_mask: 0.6516, decode.d1.loss_dice: 1.0171, decode.d2.loss_cls: 0.5367, decode.d2.loss_mask: 0.6400, decode.d2.loss_dice: 0.9722, decode.d3.loss_cls: 0.5041, decode.d3.loss_mask: 0.6313, decode.d3.loss_dice: 0.9574, decode.d4.loss_cls: 0.4939, decode.d4.loss_mask: 0.6302, decode.d4.loss_dice: 0.9583, decode.d5.loss_cls: 0.4942, decode.d5.loss_mask: 0.6328, decode.d5.loss_dice: 0.9559, decode.d6.loss_cls: 0.4861, decode.d6.loss_mask: 0.6327, decode.d6.loss_dice: 0.9511, decode.d7.loss_cls: 0.4832, decode.d7.loss_mask: 0.6310, decode.d7.loss_dice: 0.9459, decode.d8.loss_cls: 0.4819, decode.d8.loss_mask: 0.6303, decode.d8.loss_dice: 0.9472, loss: 22.4148, grad_norm: 72.8182 2023-11-22 02:56:00,617 - mmseg - INFO - Iter [34650/160000] lr: 7.462e-06, eta: 20:31:59, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4859, decode.loss_mask: 0.6279, decode.loss_dice: 0.9176, decode.d0.loss_cls: 1.6913, decode.d0.loss_mask: 0.6658, decode.d0.loss_dice: 1.0691, decode.d1.loss_cls: 0.6014, decode.d1.loss_mask: 0.6522, decode.d1.loss_dice: 0.9847, decode.d2.loss_cls: 0.5360, decode.d2.loss_mask: 0.6466, decode.d2.loss_dice: 0.9361, decode.d3.loss_cls: 0.5069, decode.d3.loss_mask: 0.6343, decode.d3.loss_dice: 0.9308, decode.d4.loss_cls: 0.4955, decode.d4.loss_mask: 0.6321, decode.d4.loss_dice: 0.9243, decode.d5.loss_cls: 0.4924, decode.d5.loss_mask: 0.6317, decode.d5.loss_dice: 0.9293, decode.d6.loss_cls: 0.4934, decode.d6.loss_mask: 0.6315, decode.d6.loss_dice: 0.9163, decode.d7.loss_cls: 0.4888, decode.d7.loss_mask: 0.6270, decode.d7.loss_dice: 0.9222, decode.d8.loss_cls: 0.4913, decode.d8.loss_mask: 0.6291, decode.d8.loss_dice: 0.9145, loss: 22.1059, grad_norm: 72.1868 2023-11-22 02:56:28,909 - mmseg - INFO - Iter [34700/160000] lr: 7.459e-06, eta: 20:31:25, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4747, decode.loss_mask: 0.6348, decode.loss_dice: 0.9337, decode.d0.loss_cls: 1.6596, decode.d0.loss_mask: 0.6699, decode.d0.loss_dice: 1.0680, decode.d1.loss_cls: 0.5835, decode.d1.loss_mask: 0.6701, decode.d1.loss_dice: 0.9951, decode.d2.loss_cls: 0.5227, decode.d2.loss_mask: 0.6453, decode.d2.loss_dice: 0.9621, decode.d3.loss_cls: 0.4938, decode.d3.loss_mask: 0.6345, decode.d3.loss_dice: 0.9379, decode.d4.loss_cls: 0.4865, decode.d4.loss_mask: 0.6339, decode.d4.loss_dice: 0.9343, decode.d5.loss_cls: 0.4807, decode.d5.loss_mask: 0.6344, decode.d5.loss_dice: 0.9395, decode.d6.loss_cls: 0.4787, decode.d6.loss_mask: 0.6353, decode.d6.loss_dice: 0.9247, decode.d7.loss_cls: 0.4773, decode.d7.loss_mask: 0.6315, decode.d7.loss_dice: 0.9253, decode.d8.loss_cls: 0.4742, decode.d8.loss_mask: 0.6356, decode.d8.loss_dice: 0.9343, loss: 22.1120, grad_norm: 71.8120 2023-11-22 02:56:57,123 - mmseg - INFO - Iter [34750/160000] lr: 7.456e-06, eta: 20:30:51, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4686, decode.loss_mask: 0.6275, decode.loss_dice: 0.9031, decode.d0.loss_cls: 1.7126, decode.d0.loss_mask: 0.6559, decode.d0.loss_dice: 1.0536, decode.d1.loss_cls: 0.5888, decode.d1.loss_mask: 0.6493, decode.d1.loss_dice: 0.9777, decode.d2.loss_cls: 0.5243, decode.d2.loss_mask: 0.6344, decode.d2.loss_dice: 0.9376, decode.d3.loss_cls: 0.5009, decode.d3.loss_mask: 0.6262, decode.d3.loss_dice: 0.9200, decode.d4.loss_cls: 0.4850, decode.d4.loss_mask: 0.6291, decode.d4.loss_dice: 0.9149, decode.d5.loss_cls: 0.4780, decode.d5.loss_mask: 0.6252, decode.d5.loss_dice: 0.9144, decode.d6.loss_cls: 0.4722, decode.d6.loss_mask: 0.6236, decode.d6.loss_dice: 0.9099, decode.d7.loss_cls: 0.4701, decode.d7.loss_mask: 0.6238, decode.d7.loss_dice: 0.9101, decode.d8.loss_cls: 0.4697, decode.d8.loss_mask: 0.6266, decode.d8.loss_dice: 0.9087, loss: 21.8416, grad_norm: 75.0966 2023-11-22 02:57:25,457 - mmseg - INFO - Iter [34800/160000] lr: 7.453e-06, eta: 20:30:17, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4639, decode.loss_mask: 0.6041, decode.loss_dice: 0.9165, decode.d0.loss_cls: 1.6955, decode.d0.loss_mask: 0.6337, decode.d0.loss_dice: 1.0556, decode.d1.loss_cls: 0.5772, decode.d1.loss_mask: 0.6289, decode.d1.loss_dice: 0.9844, decode.d2.loss_cls: 0.5021, decode.d2.loss_mask: 0.6189, decode.d2.loss_dice: 0.9431, decode.d3.loss_cls: 0.4854, decode.d3.loss_mask: 0.6062, decode.d3.loss_dice: 0.9262, decode.d4.loss_cls: 0.4717, decode.d4.loss_mask: 0.6031, decode.d4.loss_dice: 0.9283, decode.d5.loss_cls: 0.4691, decode.d5.loss_mask: 0.6017, decode.d5.loss_dice: 0.9245, decode.d6.loss_cls: 0.4599, decode.d6.loss_mask: 0.5999, decode.d6.loss_dice: 0.9152, decode.d7.loss_cls: 0.4590, decode.d7.loss_mask: 0.6011, decode.d7.loss_dice: 0.9177, decode.d8.loss_cls: 0.4610, decode.d8.loss_mask: 0.6074, decode.d8.loss_dice: 0.9139, loss: 21.5752, grad_norm: 76.1423 2023-11-22 02:57:53,895 - mmseg - INFO - Iter [34850/160000] lr: 7.450e-06, eta: 20:29:44, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4725, decode.loss_mask: 0.6302, decode.loss_dice: 0.9066, decode.d0.loss_cls: 1.7097, decode.d0.loss_mask: 0.6667, decode.d0.loss_dice: 1.0571, decode.d1.loss_cls: 0.5847, decode.d1.loss_mask: 0.6547, decode.d1.loss_dice: 0.9786, decode.d2.loss_cls: 0.5136, decode.d2.loss_mask: 0.6390, decode.d2.loss_dice: 0.9369, decode.d3.loss_cls: 0.4891, decode.d3.loss_mask: 0.6370, decode.d3.loss_dice: 0.9232, decode.d4.loss_cls: 0.4803, decode.d4.loss_mask: 0.6328, decode.d4.loss_dice: 0.9226, decode.d5.loss_cls: 0.4752, decode.d5.loss_mask: 0.6356, decode.d5.loss_dice: 0.9170, decode.d6.loss_cls: 0.4744, decode.d6.loss_mask: 0.6297, decode.d6.loss_dice: 0.9092, decode.d7.loss_cls: 0.4680, decode.d7.loss_mask: 0.6325, decode.d7.loss_dice: 0.9103, decode.d8.loss_cls: 0.4692, decode.d8.loss_mask: 0.6325, decode.d8.loss_dice: 0.9140, loss: 21.9034, grad_norm: 72.8450 2023-11-22 02:58:22,533 - mmseg - INFO - Iter [34900/160000] lr: 7.447e-06, eta: 20:29:12, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4709, decode.loss_mask: 0.6492, decode.loss_dice: 0.9161, decode.d0.loss_cls: 1.6745, decode.d0.loss_mask: 0.6896, decode.d0.loss_dice: 1.0528, decode.d1.loss_cls: 0.5891, decode.d1.loss_mask: 0.6769, decode.d1.loss_dice: 0.9858, decode.d2.loss_cls: 0.5199, decode.d2.loss_mask: 0.6595, decode.d2.loss_dice: 0.9449, decode.d3.loss_cls: 0.4943, decode.d3.loss_mask: 0.6512, decode.d3.loss_dice: 0.9262, decode.d4.loss_cls: 0.4879, decode.d4.loss_mask: 0.6529, decode.d4.loss_dice: 0.9255, decode.d5.loss_cls: 0.4815, decode.d5.loss_mask: 0.6491, decode.d5.loss_dice: 0.9271, decode.d6.loss_cls: 0.4767, decode.d6.loss_mask: 0.6518, decode.d6.loss_dice: 0.9136, decode.d7.loss_cls: 0.4683, decode.d7.loss_mask: 0.6534, decode.d7.loss_dice: 0.9225, decode.d8.loss_cls: 0.4679, decode.d8.loss_mask: 0.6483, decode.d8.loss_dice: 0.9253, loss: 22.1527, grad_norm: 72.4513 2023-11-22 02:58:51,132 - mmseg - INFO - Iter [34950/160000] lr: 7.444e-06, eta: 20:28:39, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4844, decode.loss_mask: 0.6142, decode.loss_dice: 0.9144, decode.d0.loss_cls: 1.7301, decode.d0.loss_mask: 0.6502, decode.d0.loss_dice: 1.0621, decode.d1.loss_cls: 0.5961, decode.d1.loss_mask: 0.6387, decode.d1.loss_dice: 0.9891, decode.d2.loss_cls: 0.5371, decode.d2.loss_mask: 0.6240, decode.d2.loss_dice: 0.9392, decode.d3.loss_cls: 0.5054, decode.d3.loss_mask: 0.6136, decode.d3.loss_dice: 0.9148, decode.d4.loss_cls: 0.4998, decode.d4.loss_mask: 0.6140, decode.d4.loss_dice: 0.9238, decode.d5.loss_cls: 0.4882, decode.d5.loss_mask: 0.6151, decode.d5.loss_dice: 0.9182, decode.d6.loss_cls: 0.4885, decode.d6.loss_mask: 0.6168, decode.d6.loss_dice: 0.9153, decode.d7.loss_cls: 0.4824, decode.d7.loss_mask: 0.6167, decode.d7.loss_dice: 0.9135, decode.d8.loss_cls: 0.4850, decode.d8.loss_mask: 0.6141, decode.d8.loss_dice: 0.9187, loss: 21.9234, grad_norm: 73.8614 2023-11-22 02:59:19,539 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 02:59:19,540 - mmseg - INFO - Iter [35000/160000] lr: 7.441e-06, eta: 20:28:06, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4999, decode.loss_mask: 0.6177, decode.loss_dice: 0.9135, decode.d0.loss_cls: 1.7081, decode.d0.loss_mask: 0.6623, decode.d0.loss_dice: 1.0613, decode.d1.loss_cls: 0.6062, decode.d1.loss_mask: 0.6500, decode.d1.loss_dice: 0.9741, decode.d2.loss_cls: 0.5437, decode.d2.loss_mask: 0.6372, decode.d2.loss_dice: 0.9404, decode.d3.loss_cls: 0.5165, decode.d3.loss_mask: 0.6242, decode.d3.loss_dice: 0.9223, decode.d4.loss_cls: 0.5067, decode.d4.loss_mask: 0.6250, decode.d4.loss_dice: 0.9291, decode.d5.loss_cls: 0.5025, decode.d5.loss_mask: 0.6252, decode.d5.loss_dice: 0.9240, decode.d6.loss_cls: 0.5016, decode.d6.loss_mask: 0.6228, decode.d6.loss_dice: 0.9149, decode.d7.loss_cls: 0.4957, decode.d7.loss_mask: 0.6220, decode.d7.loss_dice: 0.9161, decode.d8.loss_cls: 0.4985, decode.d8.loss_mask: 0.6186, decode.d8.loss_dice: 0.9146, loss: 22.0947, grad_norm: 70.9652 2023-11-22 02:59:47,895 - mmseg - INFO - Iter [35050/160000] lr: 7.438e-06, eta: 20:27:32, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4724, decode.loss_mask: 0.6525, decode.loss_dice: 0.9284, decode.d0.loss_cls: 1.6628, decode.d0.loss_mask: 0.6832, decode.d0.loss_dice: 1.0610, decode.d1.loss_cls: 0.5712, decode.d1.loss_mask: 0.6801, decode.d1.loss_dice: 0.9927, decode.d2.loss_cls: 0.5062, decode.d2.loss_mask: 0.6630, decode.d2.loss_dice: 0.9586, decode.d3.loss_cls: 0.4902, decode.d3.loss_mask: 0.6552, decode.d3.loss_dice: 0.9325, decode.d4.loss_cls: 0.4825, decode.d4.loss_mask: 0.6558, decode.d4.loss_dice: 0.9355, decode.d5.loss_cls: 0.4789, decode.d5.loss_mask: 0.6478, decode.d5.loss_dice: 0.9255, decode.d6.loss_cls: 0.4716, decode.d6.loss_mask: 0.6506, decode.d6.loss_dice: 0.9278, decode.d7.loss_cls: 0.4717, decode.d7.loss_mask: 0.6488, decode.d7.loss_dice: 0.9286, decode.d8.loss_cls: 0.4743, decode.d8.loss_mask: 0.6519, decode.d8.loss_dice: 0.9307, loss: 22.1920, grad_norm: 73.4433 2023-11-22 03:00:16,417 - mmseg - INFO - Iter [35100/160000] lr: 7.435e-06, eta: 20:26:59, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4602, decode.loss_mask: 0.5981, decode.loss_dice: 0.8925, decode.d0.loss_cls: 1.6906, decode.d0.loss_mask: 0.6376, decode.d0.loss_dice: 1.0294, decode.d1.loss_cls: 0.5755, decode.d1.loss_mask: 0.6258, decode.d1.loss_dice: 0.9453, decode.d2.loss_cls: 0.5055, decode.d2.loss_mask: 0.6081, decode.d2.loss_dice: 0.9148, decode.d3.loss_cls: 0.4827, decode.d3.loss_mask: 0.6041, decode.d3.loss_dice: 0.8990, decode.d4.loss_cls: 0.4710, decode.d4.loss_mask: 0.6064, decode.d4.loss_dice: 0.9014, decode.d5.loss_cls: 0.4715, decode.d5.loss_mask: 0.6023, decode.d5.loss_dice: 0.8932, decode.d6.loss_cls: 0.4660, decode.d6.loss_mask: 0.6022, decode.d6.loss_dice: 0.8917, decode.d7.loss_cls: 0.4702, decode.d7.loss_mask: 0.6002, decode.d7.loss_dice: 0.8893, decode.d8.loss_cls: 0.4634, decode.d8.loss_mask: 0.6017, decode.d8.loss_dice: 0.8882, loss: 21.2878, grad_norm: 71.6855 2023-11-22 03:00:44,866 - mmseg - INFO - Iter [35150/160000] lr: 7.432e-06, eta: 20:26:26, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4833, decode.loss_mask: 0.6286, decode.loss_dice: 0.9255, decode.d0.loss_cls: 1.6921, decode.d0.loss_mask: 0.6662, decode.d0.loss_dice: 1.0897, decode.d1.loss_cls: 0.5920, decode.d1.loss_mask: 0.6517, decode.d1.loss_dice: 0.9930, decode.d2.loss_cls: 0.5287, decode.d2.loss_mask: 0.6375, decode.d2.loss_dice: 0.9540, decode.d3.loss_cls: 0.5056, decode.d3.loss_mask: 0.6300, decode.d3.loss_dice: 0.9355, decode.d4.loss_cls: 0.4938, decode.d4.loss_mask: 0.6303, decode.d4.loss_dice: 0.9407, decode.d5.loss_cls: 0.4904, decode.d5.loss_mask: 0.6304, decode.d5.loss_dice: 0.9328, decode.d6.loss_cls: 0.4909, decode.d6.loss_mask: 0.6295, decode.d6.loss_dice: 0.9261, decode.d7.loss_cls: 0.4858, decode.d7.loss_mask: 0.6291, decode.d7.loss_dice: 0.9268, decode.d8.loss_cls: 0.4890, decode.d8.loss_mask: 0.6307, decode.d8.loss_dice: 0.9218, loss: 22.1613, grad_norm: 72.3207 2023-11-22 03:01:13,471 - mmseg - INFO - Iter [35200/160000] lr: 7.429e-06, eta: 20:25:54, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4882, decode.loss_mask: 0.6469, decode.loss_dice: 0.9204, decode.d0.loss_cls: 1.6968, decode.d0.loss_mask: 0.6850, decode.d0.loss_dice: 1.0714, decode.d1.loss_cls: 0.6030, decode.d1.loss_mask: 0.6758, decode.d1.loss_dice: 0.9959, decode.d2.loss_cls: 0.5282, decode.d2.loss_mask: 0.6620, decode.d2.loss_dice: 0.9495, decode.d3.loss_cls: 0.5094, decode.d3.loss_mask: 0.6525, decode.d3.loss_dice: 0.9331, decode.d4.loss_cls: 0.4999, decode.d4.loss_mask: 0.6486, decode.d4.loss_dice: 0.9280, decode.d5.loss_cls: 0.4917, decode.d5.loss_mask: 0.6471, decode.d5.loss_dice: 0.9345, decode.d6.loss_cls: 0.4904, decode.d6.loss_mask: 0.6426, decode.d6.loss_dice: 0.9169, decode.d7.loss_cls: 0.4914, decode.d7.loss_mask: 0.6438, decode.d7.loss_dice: 0.9177, decode.d8.loss_cls: 0.4856, decode.d8.loss_mask: 0.6489, decode.d8.loss_dice: 0.9244, loss: 22.3298, grad_norm: 72.6167 2023-11-22 03:01:41,706 - mmseg - INFO - Iter [35250/160000] lr: 7.426e-06, eta: 20:25:20, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.5038, decode.loss_mask: 0.6423, decode.loss_dice: 0.9177, decode.d0.loss_cls: 1.6859, decode.d0.loss_mask: 0.6772, decode.d0.loss_dice: 1.0780, decode.d1.loss_cls: 0.6179, decode.d1.loss_mask: 0.6661, decode.d1.loss_dice: 0.9933, decode.d2.loss_cls: 0.5451, decode.d2.loss_mask: 0.6498, decode.d2.loss_dice: 0.9492, decode.d3.loss_cls: 0.5140, decode.d3.loss_mask: 0.6482, decode.d3.loss_dice: 0.9348, decode.d4.loss_cls: 0.5061, decode.d4.loss_mask: 0.6470, decode.d4.loss_dice: 0.9289, decode.d5.loss_cls: 0.5145, decode.d5.loss_mask: 0.6450, decode.d5.loss_dice: 0.9255, decode.d6.loss_cls: 0.5046, decode.d6.loss_mask: 0.6442, decode.d6.loss_dice: 0.9127, decode.d7.loss_cls: 0.5013, decode.d7.loss_mask: 0.6417, decode.d7.loss_dice: 0.9138, decode.d8.loss_cls: 0.5005, decode.d8.loss_mask: 0.6425, decode.d8.loss_dice: 0.9181, loss: 22.3698, grad_norm: 76.0648 2023-11-22 03:02:10,282 - mmseg - INFO - Iter [35300/160000] lr: 7.423e-06, eta: 20:24:47, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4690, decode.loss_mask: 0.6021, decode.loss_dice: 0.8917, decode.d0.loss_cls: 1.6905, decode.d0.loss_mask: 0.6305, decode.d0.loss_dice: 1.0303, decode.d1.loss_cls: 0.5835, decode.d1.loss_mask: 0.6208, decode.d1.loss_dice: 0.9533, decode.d2.loss_cls: 0.5214, decode.d2.loss_mask: 0.6113, decode.d2.loss_dice: 0.9193, decode.d3.loss_cls: 0.4952, decode.d3.loss_mask: 0.5994, decode.d3.loss_dice: 0.9035, decode.d4.loss_cls: 0.4887, decode.d4.loss_mask: 0.5992, decode.d4.loss_dice: 0.9002, decode.d5.loss_cls: 0.4769, decode.d5.loss_mask: 0.5960, decode.d5.loss_dice: 0.8997, decode.d6.loss_cls: 0.4748, decode.d6.loss_mask: 0.5988, decode.d6.loss_dice: 0.8959, decode.d7.loss_cls: 0.4726, decode.d7.loss_mask: 0.6012, decode.d7.loss_dice: 0.8929, decode.d8.loss_cls: 0.4707, decode.d8.loss_mask: 0.6016, decode.d8.loss_dice: 0.8873, loss: 21.3785, grad_norm: 70.4629 2023-11-22 03:02:38,720 - mmseg - INFO - Iter [35350/160000] lr: 7.421e-06, eta: 20:24:14, time: 0.569, data_time: 0.015, memory: 38143, decode.loss_cls: 0.4824, decode.loss_mask: 0.6047, decode.loss_dice: 0.8826, decode.d0.loss_cls: 1.6615, decode.d0.loss_mask: 0.6434, decode.d0.loss_dice: 1.0253, decode.d1.loss_cls: 0.5958, decode.d1.loss_mask: 0.6300, decode.d1.loss_dice: 0.9464, decode.d2.loss_cls: 0.5224, decode.d2.loss_mask: 0.6210, decode.d2.loss_dice: 0.9235, decode.d3.loss_cls: 0.5056, decode.d3.loss_mask: 0.6146, decode.d3.loss_dice: 0.8987, decode.d4.loss_cls: 0.5026, decode.d4.loss_mask: 0.6056, decode.d4.loss_dice: 0.8946, decode.d5.loss_cls: 0.4951, decode.d5.loss_mask: 0.6093, decode.d5.loss_dice: 0.9006, decode.d6.loss_cls: 0.4882, decode.d6.loss_mask: 0.6081, decode.d6.loss_dice: 0.8868, decode.d7.loss_cls: 0.4827, decode.d7.loss_mask: 0.6070, decode.d7.loss_dice: 0.8866, decode.d8.loss_cls: 0.4799, decode.d8.loss_mask: 0.6058, decode.d8.loss_dice: 0.8872, loss: 21.4977, grad_norm: 72.5527 2023-11-22 03:03:09,339 - mmseg - INFO - Iter [35400/160000] lr: 7.418e-06, eta: 20:23:49, time: 0.612, data_time: 0.058, memory: 38143, decode.loss_cls: 0.4790, decode.loss_mask: 0.6148, decode.loss_dice: 0.8925, decode.d0.loss_cls: 1.6858, decode.d0.loss_mask: 0.6533, decode.d0.loss_dice: 1.0420, decode.d1.loss_cls: 0.5906, decode.d1.loss_mask: 0.6403, decode.d1.loss_dice: 0.9644, decode.d2.loss_cls: 0.5228, decode.d2.loss_mask: 0.6289, decode.d2.loss_dice: 0.9233, decode.d3.loss_cls: 0.4992, decode.d3.loss_mask: 0.6213, decode.d3.loss_dice: 0.9054, decode.d4.loss_cls: 0.4933, decode.d4.loss_mask: 0.6197, decode.d4.loss_dice: 0.8959, decode.d5.loss_cls: 0.4853, decode.d5.loss_mask: 0.6194, decode.d5.loss_dice: 0.9010, decode.d6.loss_cls: 0.4812, decode.d6.loss_mask: 0.6145, decode.d6.loss_dice: 0.8952, decode.d7.loss_cls: 0.4787, decode.d7.loss_mask: 0.6166, decode.d7.loss_dice: 0.8941, decode.d8.loss_cls: 0.4768, decode.d8.loss_mask: 0.6156, decode.d8.loss_dice: 0.8933, loss: 21.6439, grad_norm: 70.6591 2023-11-22 03:03:37,873 - mmseg - INFO - Iter [35450/160000] lr: 7.415e-06, eta: 20:23:16, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4489, decode.loss_mask: 0.6288, decode.loss_dice: 0.9069, decode.d0.loss_cls: 1.6563, decode.d0.loss_mask: 0.6633, decode.d0.loss_dice: 1.0409, decode.d1.loss_cls: 0.5644, decode.d1.loss_mask: 0.6528, decode.d1.loss_dice: 0.9783, decode.d2.loss_cls: 0.4980, decode.d2.loss_mask: 0.6341, decode.d2.loss_dice: 0.9435, decode.d3.loss_cls: 0.4746, decode.d3.loss_mask: 0.6287, decode.d3.loss_dice: 0.9181, decode.d4.loss_cls: 0.4649, decode.d4.loss_mask: 0.6283, decode.d4.loss_dice: 0.9184, decode.d5.loss_cls: 0.4606, decode.d5.loss_mask: 0.6273, decode.d5.loss_dice: 0.9164, decode.d6.loss_cls: 0.4541, decode.d6.loss_mask: 0.6245, decode.d6.loss_dice: 0.9060, decode.d7.loss_cls: 0.4526, decode.d7.loss_mask: 0.6256, decode.d7.loss_dice: 0.9075, decode.d8.loss_cls: 0.4491, decode.d8.loss_mask: 0.6269, decode.d8.loss_dice: 0.9139, loss: 21.6139, grad_norm: 72.0296 2023-11-22 03:04:06,253 - mmseg - INFO - Iter [35500/160000] lr: 7.412e-06, eta: 20:22:43, time: 0.569, data_time: 0.016, memory: 38143, decode.loss_cls: 0.4697, decode.loss_mask: 0.6270, decode.loss_dice: 0.9165, decode.d0.loss_cls: 1.6625, decode.d0.loss_mask: 0.6607, decode.d0.loss_dice: 1.0602, decode.d1.loss_cls: 0.5795, decode.d1.loss_mask: 0.6507, decode.d1.loss_dice: 0.9856, decode.d2.loss_cls: 0.5109, decode.d2.loss_mask: 0.6340, decode.d2.loss_dice: 0.9489, decode.d3.loss_cls: 0.4835, decode.d3.loss_mask: 0.6245, decode.d3.loss_dice: 0.9237, decode.d4.loss_cls: 0.4805, decode.d4.loss_mask: 0.6233, decode.d4.loss_dice: 0.9227, decode.d5.loss_cls: 0.4740, decode.d5.loss_mask: 0.6208, decode.d5.loss_dice: 0.9197, decode.d6.loss_cls: 0.4695, decode.d6.loss_mask: 0.6238, decode.d6.loss_dice: 0.9172, decode.d7.loss_cls: 0.4624, decode.d7.loss_mask: 0.6275, decode.d7.loss_dice: 0.9170, decode.d8.loss_cls: 0.4625, decode.d8.loss_mask: 0.6251, decode.d8.loss_dice: 0.9209, loss: 21.8046, grad_norm: 73.5096 2023-11-22 03:04:34,616 - mmseg - INFO - Iter [35550/160000] lr: 7.409e-06, eta: 20:22:09, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4739, decode.loss_mask: 0.6244, decode.loss_dice: 0.8925, decode.d0.loss_cls: 1.6834, decode.d0.loss_mask: 0.6638, decode.d0.loss_dice: 1.0498, decode.d1.loss_cls: 0.5892, decode.d1.loss_mask: 0.6512, decode.d1.loss_dice: 0.9640, decode.d2.loss_cls: 0.5209, decode.d2.loss_mask: 0.6331, decode.d2.loss_dice: 0.9270, decode.d3.loss_cls: 0.4988, decode.d3.loss_mask: 0.6246, decode.d3.loss_dice: 0.9079, decode.d4.loss_cls: 0.4922, decode.d4.loss_mask: 0.6244, decode.d4.loss_dice: 0.9001, decode.d5.loss_cls: 0.4838, decode.d5.loss_mask: 0.6232, decode.d5.loss_dice: 0.9018, decode.d6.loss_cls: 0.4828, decode.d6.loss_mask: 0.6246, decode.d6.loss_dice: 0.8988, decode.d7.loss_cls: 0.4752, decode.d7.loss_mask: 0.6233, decode.d7.loss_dice: 0.8981, decode.d8.loss_cls: 0.4767, decode.d8.loss_mask: 0.6255, decode.d8.loss_dice: 0.8986, loss: 21.7332, grad_norm: 73.5134 2023-11-22 03:05:03,259 - mmseg - INFO - Iter [35600/160000] lr: 7.406e-06, eta: 20:21:37, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4832, decode.loss_mask: 0.5961, decode.loss_dice: 0.8972, decode.d0.loss_cls: 1.7378, decode.d0.loss_mask: 0.6319, decode.d0.loss_dice: 1.0510, decode.d1.loss_cls: 0.5968, decode.d1.loss_mask: 0.6243, decode.d1.loss_dice: 0.9714, decode.d2.loss_cls: 0.5331, decode.d2.loss_mask: 0.6079, decode.d2.loss_dice: 0.9331, decode.d3.loss_cls: 0.5062, decode.d3.loss_mask: 0.6023, decode.d3.loss_dice: 0.9072, decode.d4.loss_cls: 0.4893, decode.d4.loss_mask: 0.5983, decode.d4.loss_dice: 0.9073, decode.d5.loss_cls: 0.4843, decode.d5.loss_mask: 0.5988, decode.d5.loss_dice: 0.9039, decode.d6.loss_cls: 0.4867, decode.d6.loss_mask: 0.5958, decode.d6.loss_dice: 0.9031, decode.d7.loss_cls: 0.4827, decode.d7.loss_mask: 0.5937, decode.d7.loss_dice: 0.8956, decode.d8.loss_cls: 0.4848, decode.d8.loss_mask: 0.5960, decode.d8.loss_dice: 0.9027, loss: 21.6022, grad_norm: 72.2969 2023-11-22 03:05:31,408 - mmseg - INFO - Iter [35650/160000] lr: 7.403e-06, eta: 20:21:03, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4531, decode.loss_mask: 0.6356, decode.loss_dice: 0.9088, decode.d0.loss_cls: 1.6521, decode.d0.loss_mask: 0.6643, decode.d0.loss_dice: 1.0351, decode.d1.loss_cls: 0.5594, decode.d1.loss_mask: 0.6554, decode.d1.loss_dice: 0.9712, decode.d2.loss_cls: 0.4972, decode.d2.loss_mask: 0.6438, decode.d2.loss_dice: 0.9337, decode.d3.loss_cls: 0.4780, decode.d3.loss_mask: 0.6344, decode.d3.loss_dice: 0.9105, decode.d4.loss_cls: 0.4608, decode.d4.loss_mask: 0.6337, decode.d4.loss_dice: 0.9196, decode.d5.loss_cls: 0.4584, decode.d5.loss_mask: 0.6351, decode.d5.loss_dice: 0.9176, decode.d6.loss_cls: 0.4576, decode.d6.loss_mask: 0.6289, decode.d6.loss_dice: 0.9111, decode.d7.loss_cls: 0.4567, decode.d7.loss_mask: 0.6337, decode.d7.loss_dice: 0.9101, decode.d8.loss_cls: 0.4563, decode.d8.loss_mask: 0.6313, decode.d8.loss_dice: 0.9122, loss: 21.6555, grad_norm: 74.5761 2023-11-22 03:05:59,638 - mmseg - INFO - Iter [35700/160000] lr: 7.400e-06, eta: 20:20:29, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4510, decode.loss_mask: 0.5821, decode.loss_dice: 0.8713, decode.d0.loss_cls: 1.6527, decode.d0.loss_mask: 0.6160, decode.d0.loss_dice: 0.9973, decode.d1.loss_cls: 0.5593, decode.d1.loss_mask: 0.6063, decode.d1.loss_dice: 0.9331, decode.d2.loss_cls: 0.4938, decode.d2.loss_mask: 0.5873, decode.d2.loss_dice: 0.9020, decode.d3.loss_cls: 0.4711, decode.d3.loss_mask: 0.5851, decode.d3.loss_dice: 0.8815, decode.d4.loss_cls: 0.4670, decode.d4.loss_mask: 0.5812, decode.d4.loss_dice: 0.8821, decode.d5.loss_cls: 0.4551, decode.d5.loss_mask: 0.5820, decode.d5.loss_dice: 0.8807, decode.d6.loss_cls: 0.4516, decode.d6.loss_mask: 0.5837, decode.d6.loss_dice: 0.8741, decode.d7.loss_cls: 0.4474, decode.d7.loss_mask: 0.5842, decode.d7.loss_dice: 0.8751, decode.d8.loss_cls: 0.4497, decode.d8.loss_mask: 0.5829, decode.d8.loss_dice: 0.8743, loss: 20.7610, grad_norm: 66.9833 2023-11-22 03:06:28,374 - mmseg - INFO - Iter [35750/160000] lr: 7.397e-06, eta: 20:19:57, time: 0.575, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4688, decode.loss_mask: 0.6124, decode.loss_dice: 0.9141, decode.d0.loss_cls: 1.7044, decode.d0.loss_mask: 0.6504, decode.d0.loss_dice: 1.0560, decode.d1.loss_cls: 0.5759, decode.d1.loss_mask: 0.6493, decode.d1.loss_dice: 0.9808, decode.d2.loss_cls: 0.5109, decode.d2.loss_mask: 0.6209, decode.d2.loss_dice: 0.9438, decode.d3.loss_cls: 0.4931, decode.d3.loss_mask: 0.6132, decode.d3.loss_dice: 0.9224, decode.d4.loss_cls: 0.4839, decode.d4.loss_mask: 0.6125, decode.d4.loss_dice: 0.9201, decode.d5.loss_cls: 0.4841, decode.d5.loss_mask: 0.6092, decode.d5.loss_dice: 0.9144, decode.d6.loss_cls: 0.4746, decode.d6.loss_mask: 0.6132, decode.d6.loss_dice: 0.9131, decode.d7.loss_cls: 0.4669, decode.d7.loss_mask: 0.6124, decode.d7.loss_dice: 0.9140, decode.d8.loss_cls: 0.4625, decode.d8.loss_mask: 0.6130, decode.d8.loss_dice: 0.9153, loss: 21.7261, grad_norm: 75.8432 2023-11-22 03:06:56,726 - mmseg - INFO - Iter [35800/160000] lr: 7.394e-06, eta: 20:19:24, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4532, decode.loss_mask: 0.6524, decode.loss_dice: 0.8841, decode.d0.loss_cls: 1.6254, decode.d0.loss_mask: 0.6852, decode.d0.loss_dice: 1.0129, decode.d1.loss_cls: 0.5520, decode.d1.loss_mask: 0.6758, decode.d1.loss_dice: 0.9435, decode.d2.loss_cls: 0.4997, decode.d2.loss_mask: 0.6595, decode.d2.loss_dice: 0.9091, decode.d3.loss_cls: 0.4728, decode.d3.loss_mask: 0.6513, decode.d3.loss_dice: 0.8857, decode.d4.loss_cls: 0.4621, decode.d4.loss_mask: 0.6508, decode.d4.loss_dice: 0.8842, decode.d5.loss_cls: 0.4595, decode.d5.loss_mask: 0.6509, decode.d5.loss_dice: 0.8835, decode.d6.loss_cls: 0.4543, decode.d6.loss_mask: 0.6488, decode.d6.loss_dice: 0.8799, decode.d7.loss_cls: 0.4528, decode.d7.loss_mask: 0.6543, decode.d7.loss_dice: 0.8796, decode.d8.loss_cls: 0.4569, decode.d8.loss_mask: 0.6499, decode.d8.loss_dice: 0.8812, loss: 21.5111, grad_norm: 74.7905 2023-11-22 03:07:24,998 - mmseg - INFO - Iter [35850/160000] lr: 7.391e-06, eta: 20:18:51, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4492, decode.loss_mask: 0.6101, decode.loss_dice: 0.8777, decode.d0.loss_cls: 1.6650, decode.d0.loss_mask: 0.6476, decode.d0.loss_dice: 1.0172, decode.d1.loss_cls: 0.5657, decode.d1.loss_mask: 0.6385, decode.d1.loss_dice: 0.9298, decode.d2.loss_cls: 0.5031, decode.d2.loss_mask: 0.6253, decode.d2.loss_dice: 0.9002, decode.d3.loss_cls: 0.4773, decode.d3.loss_mask: 0.6130, decode.d3.loss_dice: 0.8814, decode.d4.loss_cls: 0.4618, decode.d4.loss_mask: 0.6101, decode.d4.loss_dice: 0.8840, decode.d5.loss_cls: 0.4538, decode.d5.loss_mask: 0.6148, decode.d5.loss_dice: 0.8764, decode.d6.loss_cls: 0.4579, decode.d6.loss_mask: 0.6099, decode.d6.loss_dice: 0.8734, decode.d7.loss_cls: 0.4475, decode.d7.loss_mask: 0.6096, decode.d7.loss_dice: 0.8717, decode.d8.loss_cls: 0.4479, decode.d8.loss_mask: 0.6092, decode.d8.loss_dice: 0.8744, loss: 21.1034, grad_norm: 70.4269 2023-11-22 03:07:53,383 - mmseg - INFO - Iter [35900/160000] lr: 7.388e-06, eta: 20:18:17, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4801, decode.loss_mask: 0.6236, decode.loss_dice: 0.9072, decode.d0.loss_cls: 1.6602, decode.d0.loss_mask: 0.6717, decode.d0.loss_dice: 1.0645, decode.d1.loss_cls: 0.5853, decode.d1.loss_mask: 0.6506, decode.d1.loss_dice: 0.9840, decode.d2.loss_cls: 0.5241, decode.d2.loss_mask: 0.6380, decode.d2.loss_dice: 0.9465, decode.d3.loss_cls: 0.4984, decode.d3.loss_mask: 0.6341, decode.d3.loss_dice: 0.9186, decode.d4.loss_cls: 0.4866, decode.d4.loss_mask: 0.6370, decode.d4.loss_dice: 0.9205, decode.d5.loss_cls: 0.4877, decode.d5.loss_mask: 0.6280, decode.d5.loss_dice: 0.9182, decode.d6.loss_cls: 0.4787, decode.d6.loss_mask: 0.6286, decode.d6.loss_dice: 0.9069, decode.d7.loss_cls: 0.4718, decode.d7.loss_mask: 0.6311, decode.d7.loss_dice: 0.9086, decode.d8.loss_cls: 0.4795, decode.d8.loss_mask: 0.6249, decode.d8.loss_dice: 0.9103, loss: 21.9055, grad_norm: 70.5444 2023-11-22 03:08:21,589 - mmseg - INFO - Iter [35950/160000] lr: 7.385e-06, eta: 20:17:44, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4336, decode.loss_mask: 0.6147, decode.loss_dice: 0.9102, decode.d0.loss_cls: 1.6127, decode.d0.loss_mask: 0.6552, decode.d0.loss_dice: 1.0424, decode.d1.loss_cls: 0.5513, decode.d1.loss_mask: 0.6449, decode.d1.loss_dice: 0.9770, decode.d2.loss_cls: 0.4890, decode.d2.loss_mask: 0.6307, decode.d2.loss_dice: 0.9426, decode.d3.loss_cls: 0.4614, decode.d3.loss_mask: 0.6269, decode.d3.loss_dice: 0.9237, decode.d4.loss_cls: 0.4455, decode.d4.loss_mask: 0.6237, decode.d4.loss_dice: 0.9195, decode.d5.loss_cls: 0.4433, decode.d5.loss_mask: 0.6225, decode.d5.loss_dice: 0.9190, decode.d6.loss_cls: 0.4398, decode.d6.loss_mask: 0.6198, decode.d6.loss_dice: 0.9089, decode.d7.loss_cls: 0.4373, decode.d7.loss_mask: 0.6192, decode.d7.loss_dice: 0.9073, decode.d8.loss_cls: 0.4406, decode.d8.loss_mask: 0.6167, decode.d8.loss_dice: 0.9113, loss: 21.3908, grad_norm: 74.4193 2023-11-22 03:08:49,900 - mmseg - INFO - Saving checkpoint at 36000 iterations 2023-11-22 03:08:57,884 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 03:08:57,884 - mmseg - INFO - Iter [36000/160000] lr: 7.382e-06, eta: 20:17:38, time: 0.726, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4677, decode.loss_mask: 0.6269, decode.loss_dice: 0.9094, decode.d0.loss_cls: 1.7000, decode.d0.loss_mask: 0.6639, decode.d0.loss_dice: 1.0557, decode.d1.loss_cls: 0.5859, decode.d1.loss_mask: 0.6527, decode.d1.loss_dice: 0.9755, decode.d2.loss_cls: 0.5192, decode.d2.loss_mask: 0.6370, decode.d2.loss_dice: 0.9311, decode.d3.loss_cls: 0.4965, decode.d3.loss_mask: 0.6336, decode.d3.loss_dice: 0.9101, decode.d4.loss_cls: 0.4881, decode.d4.loss_mask: 0.6267, decode.d4.loss_dice: 0.9111, decode.d5.loss_cls: 0.4768, decode.d5.loss_mask: 0.6293, decode.d5.loss_dice: 0.9115, decode.d6.loss_cls: 0.4723, decode.d6.loss_mask: 0.6259, decode.d6.loss_dice: 0.9085, decode.d7.loss_cls: 0.4699, decode.d7.loss_mask: 0.6267, decode.d7.loss_dice: 0.9099, decode.d8.loss_cls: 0.4675, decode.d8.loss_mask: 0.6254, decode.d8.loss_dice: 0.9122, loss: 21.8267, grad_norm: 73.5474 2023-11-22 03:09:17,436 - mmseg - INFO - per class results: 2023-11-22 03:09:17,442 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.24 | 88.06 | | building | 83.89 | 91.46 | | sky | 94.99 | 97.47 | | floor | 83.73 | 90.55 | | tree | 77.25 | 89.03 | | ceiling | 85.77 | 92.28 | | road | 84.47 | 89.34 | | bed | 91.84 | 96.02 | | windowpane | 65.9 | 78.03 | | grass | 68.23 | 80.9 | | cabinet | 62.46 | 78.28 | | sidewalk | 67.19 | 86.06 | | person | 86.04 | 91.97 | | earth | 39.57 | 52.77 | | door | 54.6 | 72.6 | | table | 68.25 | 81.05 | | mountain | 62.86 | 80.27 | | plant | 53.86 | 69.26 | | curtain | 76.35 | 90.35 | | chair | 64.55 | 76.21 | | car | 87.16 | 93.94 | | water | 55.56 | 78.16 | | painting | 74.72 | 89.41 | | sofa | 74.02 | 86.02 | | shelf | 47.16 | 63.08 | | house | 42.2 | 47.39 | | sea | 61.01 | 76.69 | | mirror | 73.41 | 83.07 | | rug | 65.4 | 76.47 | | field | 34.08 | 56.45 | | armchair | 47.57 | 68.89 | | seat | 64.69 | 87.68 | | fence | 45.92 | 66.96 | | desk | 45.5 | 80.31 | | rock | 50.99 | 73.01 | | wardrobe | 54.18 | 66.5 | | lamp | 71.94 | 84.15 | | bathtub | 79.0 | 87.58 | | railing | 38.05 | 68.19 | | cushion | 65.76 | 75.67 | | base | 34.34 | 62.63 | | box | 34.39 | 44.38 | | column | 50.91 | 73.45 | | signboard | 40.5 | 61.47 | | chest of drawers | 41.22 | 69.29 | | counter | 30.17 | 44.4 | | sand | 38.19 | 53.48 | | sink | 81.23 | 85.57 | | skyscraper | 34.04 | 42.56 | | fireplace | 70.53 | 92.43 | | refrigerator | 78.53 | 90.17 | | grandstand | 51.33 | 79.96 | | path | 19.48 | 25.45 | | stairs | 29.42 | 33.34 | | runway | 67.85 | 85.81 | | case | 46.61 | 62.24 | | pool table | 94.62 | 96.94 | | pillow | 61.88 | 79.24 | | screen door | 59.0 | 69.18 | | stairway | 29.43 | 58.7 | | river | 5.87 | 6.89 | | bridge | 66.43 | 86.84 | | bookcase | 37.86 | 51.88 | | blind | 55.31 | 76.1 | | coffee table | 68.55 | 87.68 | | toilet | 90.32 | 92.91 | | flower | 39.63 | 61.94 | | book | 53.26 | 69.17 | | hill | 6.47 | 12.18 | | bench | 66.91 | 79.52 | | countertop | 57.63 | 74.21 | | stove | 78.31 | 80.77 | | palm | 56.21 | 81.85 | | kitchen island | 37.42 | 65.69 | | computer | 79.54 | 89.05 | | swivel chair | 50.72 | 71.0 | | boat | 79.22 | 93.34 | | bar | 48.78 | 50.78 | | arcade machine | 71.59 | 83.69 | | hovel | 67.65 | 77.1 | | bus | 91.36 | 96.17 | | towel | 76.7 | 90.34 | | light | 58.46 | 77.44 | | truck | 35.27 | 52.69 | | tower | 40.43 | 77.31 | | chandelier | 67.56 | 77.06 | | awning | 34.18 | 54.0 | | streetlight | 43.72 | 62.09 | | booth | 35.98 | 47.95 | | television receiver | 77.07 | 90.31 | | airplane | 66.01 | 72.76 | | dirt track | 0.19 | 0.2 | | apparel | 30.31 | 56.05 | | pole | 36.99 | 57.54 | | land | 0.53 | 0.61 | | bannister | 14.58 | 21.65 | | escalator | 41.27 | 57.91 | | ottoman | 52.54 | 69.57 | | bottle | 33.93 | 45.47 | | buffet | 7.28 | 10.5 | | poster | 32.81 | 55.12 | | stage | 21.04 | 49.29 | | van | 42.91 | 61.12 | | ship | 21.32 | 22.06 | | fountain | 20.22 | 23.22 | | conveyer belt | 62.02 | 94.67 | | canopy | 40.9 | 52.13 | | washer | 73.95 | 76.61 | | plaything | 35.73 | 62.03 | | swimming pool | 60.28 | 73.82 | | stool | 52.36 | 72.29 | | barrel | 30.43 | 97.35 | | basket | 43.1 | 63.56 | | waterfall | 43.61 | 60.94 | | tent | 95.3 | 98.1 | | bag | 24.88 | 37.25 | | minibike | 71.99 | 89.53 | | cradle | 86.85 | 97.74 | | oven | 29.51 | 79.78 | | ball | 60.01 | 79.82 | | food | 65.39 | 73.35 | | step | 20.46 | 32.52 | | tank | 53.5 | 55.46 | | trade name | 23.73 | 30.79 | | microwave | 43.69 | 46.96 | | pot | 50.53 | 59.42 | | animal | 74.3 | 76.92 | | bicycle | 61.93 | 85.42 | | lake | 0.0 | 0.0 | | dishwasher | 77.01 | 84.65 | | screen | 55.86 | 92.51 | | blanket | 32.31 | 40.4 | | sculpture | 60.26 | 89.39 | | hood | 61.52 | 74.71 | | sconce | 58.49 | 71.17 | | vase | 54.27 | 77.61 | | traffic light | 43.0 | 77.75 | | tray | 12.97 | 20.55 | | ashcan | 48.56 | 71.11 | | fan | 69.5 | 83.15 | | pier | 1.18 | 1.24 | | crt screen | 0.0 | 0.0 | | plate | 63.66 | 79.59 | | monitor | 50.07 | 75.84 | | bulletin board | 43.26 | 69.3 | | shower | 15.19 | 28.03 | | radiator | 63.9 | 89.46 | | glass | 24.85 | 27.85 | | clock | 46.95 | 57.96 | | flag | 37.22 | 43.69 | +---------------------+-------+-------+ 2023-11-22 03:09:17,442 - mmseg - INFO - Summary: 2023-11-22 03:09:17,442 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 84.58 | 52.33 | 67.1 | +-------+-------+------+ 2023-11-22 03:09:17,443 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 03:09:17,443 - mmseg - INFO - Iter(val) [250] aAcc: 0.8458, mIoU: 0.5233, mAcc: 0.6710, IoU.wall: 0.8024, IoU.building: 0.8389, IoU.sky: 0.9499, IoU.floor: 0.8373, IoU.tree: 0.7725, IoU.ceiling: 0.8577, IoU.road: 0.8447, IoU.bed : 0.9184, IoU.windowpane: 0.6590, IoU.grass: 0.6823, IoU.cabinet: 0.6246, IoU.sidewalk: 0.6719, IoU.person: 0.8604, IoU.earth: 0.3957, IoU.door: 0.5460, IoU.table: 0.6825, IoU.mountain: 0.6286, IoU.plant: 0.5386, IoU.curtain: 0.7635, IoU.chair: 0.6455, IoU.car: 0.8716, IoU.water: 0.5556, IoU.painting: 0.7472, IoU.sofa: 0.7402, IoU.shelf: 0.4716, IoU.house: 0.4220, IoU.sea: 0.6101, IoU.mirror: 0.7341, IoU.rug: 0.6540, IoU.field: 0.3408, IoU.armchair: 0.4757, IoU.seat: 0.6469, IoU.fence: 0.4592, IoU.desk: 0.4550, IoU.rock: 0.5099, IoU.wardrobe: 0.5418, IoU.lamp: 0.7194, IoU.bathtub: 0.7900, IoU.railing: 0.3805, IoU.cushion: 0.6576, IoU.base: 0.3434, IoU.box: 0.3439, IoU.column: 0.5091, IoU.signboard: 0.4050, IoU.chest of drawers: 0.4122, IoU.counter: 0.3017, IoU.sand: 0.3819, IoU.sink: 0.8123, IoU.skyscraper: 0.3404, IoU.fireplace: 0.7053, IoU.refrigerator: 0.7853, IoU.grandstand: 0.5133, IoU.path: 0.1948, IoU.stairs: 0.2942, IoU.runway: 0.6785, IoU.case: 0.4661, IoU.pool table: 0.9462, IoU.pillow: 0.6188, IoU.screen door: 0.5900, IoU.stairway: 0.2943, IoU.river: 0.0587, IoU.bridge: 0.6643, IoU.bookcase: 0.3786, IoU.blind: 0.5531, IoU.coffee table: 0.6855, IoU.toilet: 0.9032, IoU.flower: 0.3963, IoU.book: 0.5326, IoU.hill: 0.0647, IoU.bench: 0.6691, IoU.countertop: 0.5763, IoU.stove: 0.7831, IoU.palm: 0.5621, IoU.kitchen island: 0.3742, IoU.computer: 0.7954, IoU.swivel chair: 0.5072, IoU.boat: 0.7922, IoU.bar: 0.4878, IoU.arcade machine: 0.7159, IoU.hovel: 0.6765, IoU.bus: 0.9136, IoU.towel: 0.7670, IoU.light: 0.5846, IoU.truck: 0.3527, IoU.tower: 0.4043, IoU.chandelier: 0.6756, IoU.awning: 0.3418, IoU.streetlight: 0.4372, IoU.booth: 0.3598, IoU.television receiver: 0.7707, IoU.airplane: 0.6601, IoU.dirt track: 0.0019, IoU.apparel: 0.3031, IoU.pole: 0.3699, IoU.land: 0.0053, IoU.bannister: 0.1458, IoU.escalator: 0.4127, IoU.ottoman: 0.5254, IoU.bottle: 0.3393, IoU.buffet: 0.0728, IoU.poster: 0.3281, IoU.stage: 0.2104, IoU.van: 0.4291, IoU.ship: 0.2132, IoU.fountain: 0.2022, IoU.conveyer belt: 0.6202, IoU.canopy: 0.4090, IoU.washer: 0.7395, IoU.plaything: 0.3573, IoU.swimming pool: 0.6028, IoU.stool: 0.5236, IoU.barrel: 0.3043, IoU.basket: 0.4310, IoU.waterfall: 0.4361, IoU.tent: 0.9530, IoU.bag: 0.2488, IoU.minibike: 0.7199, IoU.cradle: 0.8685, IoU.oven: 0.2951, IoU.ball: 0.6001, IoU.food: 0.6539, IoU.step: 0.2046, IoU.tank: 0.5350, IoU.trade name: 0.2373, IoU.microwave: 0.4369, IoU.pot: 0.5053, IoU.animal: 0.7430, IoU.bicycle: 0.6193, IoU.lake: 0.0000, IoU.dishwasher: 0.7701, IoU.screen: 0.5586, IoU.blanket: 0.3231, IoU.sculpture: 0.6026, IoU.hood: 0.6152, IoU.sconce: 0.5849, IoU.vase: 0.5427, IoU.traffic light: 0.4300, IoU.tray: 0.1297, IoU.ashcan: 0.4856, IoU.fan: 0.6950, IoU.pier: 0.0118, IoU.crt screen: 0.0000, IoU.plate: 0.6366, IoU.monitor: 0.5007, IoU.bulletin board: 0.4326, IoU.shower: 0.1519, IoU.radiator: 0.6390, IoU.glass: 0.2485, IoU.clock: 0.4695, IoU.flag: 0.3722, Acc.wall: 0.8806, Acc.building: 0.9146, Acc.sky: 0.9747, Acc.floor: 0.9055, Acc.tree: 0.8903, Acc.ceiling: 0.9228, Acc.road: 0.8934, Acc.bed : 0.9602, Acc.windowpane: 0.7803, Acc.grass: 0.8090, Acc.cabinet: 0.7828, Acc.sidewalk: 0.8606, Acc.person: 0.9197, Acc.earth: 0.5277, Acc.door: 0.7260, Acc.table: 0.8105, Acc.mountain: 0.8027, Acc.plant: 0.6926, Acc.curtain: 0.9035, Acc.chair: 0.7621, Acc.car: 0.9394, Acc.water: 0.7816, Acc.painting: 0.8941, Acc.sofa: 0.8602, Acc.shelf: 0.6308, Acc.house: 0.4739, Acc.sea: 0.7669, Acc.mirror: 0.8307, Acc.rug: 0.7647, Acc.field: 0.5645, Acc.armchair: 0.6889, Acc.seat: 0.8768, Acc.fence: 0.6696, Acc.desk: 0.8031, Acc.rock: 0.7301, Acc.wardrobe: 0.6650, Acc.lamp: 0.8415, Acc.bathtub: 0.8758, Acc.railing: 0.6819, Acc.cushion: 0.7567, Acc.base: 0.6263, Acc.box: 0.4438, Acc.column: 0.7345, Acc.signboard: 0.6147, Acc.chest of drawers: 0.6929, Acc.counter: 0.4440, Acc.sand: 0.5348, Acc.sink: 0.8557, Acc.skyscraper: 0.4256, Acc.fireplace: 0.9243, Acc.refrigerator: 0.9017, Acc.grandstand: 0.7996, Acc.path: 0.2545, Acc.stairs: 0.3334, Acc.runway: 0.8581, Acc.case: 0.6224, Acc.pool table: 0.9694, Acc.pillow: 0.7924, Acc.screen door: 0.6918, Acc.stairway: 0.5870, Acc.river: 0.0689, Acc.bridge: 0.8684, Acc.bookcase: 0.5188, Acc.blind: 0.7610, Acc.coffee table: 0.8768, Acc.toilet: 0.9291, Acc.flower: 0.6194, Acc.book: 0.6917, Acc.hill: 0.1218, Acc.bench: 0.7952, Acc.countertop: 0.7421, Acc.stove: 0.8077, Acc.palm: 0.8185, Acc.kitchen island: 0.6569, Acc.computer: 0.8905, Acc.swivel chair: 0.7100, Acc.boat: 0.9334, Acc.bar: 0.5078, Acc.arcade machine: 0.8369, Acc.hovel: 0.7710, Acc.bus: 0.9617, Acc.towel: 0.9034, Acc.light: 0.7744, Acc.truck: 0.5269, Acc.tower: 0.7731, Acc.chandelier: 0.7706, Acc.awning: 0.5400, Acc.streetlight: 0.6209, Acc.booth: 0.4795, Acc.television receiver: 0.9031, Acc.airplane: 0.7276, Acc.dirt track: 0.0020, Acc.apparel: 0.5605, Acc.pole: 0.5754, Acc.land: 0.0061, Acc.bannister: 0.2165, Acc.escalator: 0.5791, Acc.ottoman: 0.6957, Acc.bottle: 0.4547, Acc.buffet: 0.1050, Acc.poster: 0.5512, Acc.stage: 0.4929, Acc.van: 0.6112, Acc.ship: 0.2206, Acc.fountain: 0.2322, Acc.conveyer belt: 0.9467, Acc.canopy: 0.5213, Acc.washer: 0.7661, Acc.plaything: 0.6203, Acc.swimming pool: 0.7382, Acc.stool: 0.7229, Acc.barrel: 0.9735, Acc.basket: 0.6356, Acc.waterfall: 0.6094, Acc.tent: 0.9810, Acc.bag: 0.3725, Acc.minibike: 0.8953, Acc.cradle: 0.9774, Acc.oven: 0.7978, Acc.ball: 0.7982, Acc.food: 0.7335, Acc.step: 0.3252, Acc.tank: 0.5546, Acc.trade name: 0.3079, Acc.microwave: 0.4696, Acc.pot: 0.5942, Acc.animal: 0.7692, Acc.bicycle: 0.8542, Acc.lake: 0.0000, Acc.dishwasher: 0.8465, Acc.screen: 0.9251, Acc.blanket: 0.4040, Acc.sculpture: 0.8939, Acc.hood: 0.7471, Acc.sconce: 0.7117, Acc.vase: 0.7761, Acc.traffic light: 0.7775, Acc.tray: 0.2055, Acc.ashcan: 0.7111, Acc.fan: 0.8315, Acc.pier: 0.0124, Acc.crt screen: 0.0000, Acc.plate: 0.7959, Acc.monitor: 0.7584, Acc.bulletin board: 0.6930, Acc.shower: 0.2803, Acc.radiator: 0.8946, Acc.glass: 0.2785, Acc.clock: 0.5796, Acc.flag: 0.4369 2023-11-22 03:09:45,969 - mmseg - INFO - Iter [36050/160000] lr: 7.379e-06, eta: 20:18:12, time: 0.962, data_time: 0.405, memory: 38143, decode.loss_cls: 0.4360, decode.loss_mask: 0.6362, decode.loss_dice: 0.8861, decode.d0.loss_cls: 1.6232, decode.d0.loss_mask: 0.6779, decode.d0.loss_dice: 1.0119, decode.d1.loss_cls: 0.5342, decode.d1.loss_mask: 0.6636, decode.d1.loss_dice: 0.9566, decode.d2.loss_cls: 0.4813, decode.d2.loss_mask: 0.6400, decode.d2.loss_dice: 0.9111, decode.d3.loss_cls: 0.4568, decode.d3.loss_mask: 0.6404, decode.d3.loss_dice: 0.8912, decode.d4.loss_cls: 0.4434, decode.d4.loss_mask: 0.6328, decode.d4.loss_dice: 0.8982, decode.d5.loss_cls: 0.4349, decode.d5.loss_mask: 0.6387, decode.d5.loss_dice: 0.8984, decode.d6.loss_cls: 0.4375, decode.d6.loss_mask: 0.6351, decode.d6.loss_dice: 0.8842, decode.d7.loss_cls: 0.4342, decode.d7.loss_mask: 0.6331, decode.d7.loss_dice: 0.8875, decode.d8.loss_cls: 0.4364, decode.d8.loss_mask: 0.6335, decode.d8.loss_dice: 0.8860, loss: 21.2605, grad_norm: 76.7164 2023-11-22 03:10:14,226 - mmseg - INFO - Iter [36100/160000] lr: 7.376e-06, eta: 20:17:39, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4420, decode.loss_mask: 0.6016, decode.loss_dice: 0.8894, decode.d0.loss_cls: 1.6363, decode.d0.loss_mask: 0.6378, decode.d0.loss_dice: 1.0245, decode.d1.loss_cls: 0.5625, decode.d1.loss_mask: 0.6293, decode.d1.loss_dice: 0.9453, decode.d2.loss_cls: 0.4831, decode.d2.loss_mask: 0.6102, decode.d2.loss_dice: 0.9166, decode.d3.loss_cls: 0.4624, decode.d3.loss_mask: 0.6035, decode.d3.loss_dice: 0.8942, decode.d4.loss_cls: 0.4480, decode.d4.loss_mask: 0.6062, decode.d4.loss_dice: 0.9004, decode.d5.loss_cls: 0.4439, decode.d5.loss_mask: 0.6077, decode.d5.loss_dice: 0.8940, decode.d6.loss_cls: 0.4433, decode.d6.loss_mask: 0.6039, decode.d6.loss_dice: 0.8933, decode.d7.loss_cls: 0.4365, decode.d7.loss_mask: 0.6039, decode.d7.loss_dice: 0.8918, decode.d8.loss_cls: 0.4340, decode.d8.loss_mask: 0.6059, decode.d8.loss_dice: 0.8922, loss: 21.0438, grad_norm: 71.1811 2023-11-22 03:10:42,507 - mmseg - INFO - Iter [36150/160000] lr: 7.373e-06, eta: 20:17:05, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4688, decode.loss_mask: 0.6444, decode.loss_dice: 0.9081, decode.d0.loss_cls: 1.6942, decode.d0.loss_mask: 0.6788, decode.d0.loss_dice: 1.0524, decode.d1.loss_cls: 0.5813, decode.d1.loss_mask: 0.6678, decode.d1.loss_dice: 0.9706, decode.d2.loss_cls: 0.5062, decode.d2.loss_mask: 0.6540, decode.d2.loss_dice: 0.9353, decode.d3.loss_cls: 0.4898, decode.d3.loss_mask: 0.6463, decode.d3.loss_dice: 0.9141, decode.d4.loss_cls: 0.4844, decode.d4.loss_mask: 0.6447, decode.d4.loss_dice: 0.9098, decode.d5.loss_cls: 0.4783, decode.d5.loss_mask: 0.6440, decode.d5.loss_dice: 0.9141, decode.d6.loss_cls: 0.4713, decode.d6.loss_mask: 0.6413, decode.d6.loss_dice: 0.9014, decode.d7.loss_cls: 0.4687, decode.d7.loss_mask: 0.6428, decode.d7.loss_dice: 0.9086, decode.d8.loss_cls: 0.4769, decode.d8.loss_mask: 0.6437, decode.d8.loss_dice: 0.9028, loss: 21.9448, grad_norm: 72.8815 2023-11-22 03:11:10,750 - mmseg - INFO - Iter [36200/160000] lr: 7.370e-06, eta: 20:16:31, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4633, decode.loss_mask: 0.6005, decode.loss_dice: 0.8976, decode.d0.loss_cls: 1.6732, decode.d0.loss_mask: 0.6338, decode.d0.loss_dice: 1.0335, decode.d1.loss_cls: 0.5762, decode.d1.loss_mask: 0.6185, decode.d1.loss_dice: 0.9506, decode.d2.loss_cls: 0.5037, decode.d2.loss_mask: 0.6057, decode.d2.loss_dice: 0.9179, decode.d3.loss_cls: 0.4855, decode.d3.loss_mask: 0.6041, decode.d3.loss_dice: 0.9010, decode.d4.loss_cls: 0.4708, decode.d4.loss_mask: 0.6053, decode.d4.loss_dice: 0.9016, decode.d5.loss_cls: 0.4685, decode.d5.loss_mask: 0.6039, decode.d5.loss_dice: 0.9022, decode.d6.loss_cls: 0.4704, decode.d6.loss_mask: 0.6017, decode.d6.loss_dice: 0.8933, decode.d7.loss_cls: 0.4631, decode.d7.loss_mask: 0.6026, decode.d7.loss_dice: 0.8923, decode.d8.loss_cls: 0.4625, decode.d8.loss_mask: 0.6017, decode.d8.loss_dice: 0.8961, loss: 21.3010, grad_norm: 70.1675 2023-11-22 03:11:38,859 - mmseg - INFO - Iter [36250/160000] lr: 7.367e-06, eta: 20:15:57, time: 0.562, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4703, decode.loss_mask: 0.6225, decode.loss_dice: 0.8845, decode.d0.loss_cls: 1.6704, decode.d0.loss_mask: 0.6674, decode.d0.loss_dice: 1.0472, decode.d1.loss_cls: 0.5822, decode.d1.loss_mask: 0.6524, decode.d1.loss_dice: 0.9622, decode.d2.loss_cls: 0.5143, decode.d2.loss_mask: 0.6369, decode.d2.loss_dice: 0.9145, decode.d3.loss_cls: 0.4942, decode.d3.loss_mask: 0.6247, decode.d3.loss_dice: 0.8971, decode.d4.loss_cls: 0.4823, decode.d4.loss_mask: 0.6258, decode.d4.loss_dice: 0.8944, decode.d5.loss_cls: 0.4750, decode.d5.loss_mask: 0.6219, decode.d5.loss_dice: 0.8954, decode.d6.loss_cls: 0.4763, decode.d6.loss_mask: 0.6203, decode.d6.loss_dice: 0.8767, decode.d7.loss_cls: 0.4715, decode.d7.loss_mask: 0.6198, decode.d7.loss_dice: 0.8789, decode.d8.loss_cls: 0.4693, decode.d8.loss_mask: 0.6216, decode.d8.loss_dice: 0.8841, loss: 21.5541, grad_norm: 77.3379 2023-11-22 03:12:07,341 - mmseg - INFO - Iter [36300/160000] lr: 7.364e-06, eta: 20:15:24, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4645, decode.loss_mask: 0.6425, decode.loss_dice: 0.9263, decode.d0.loss_cls: 1.6480, decode.d0.loss_mask: 0.6866, decode.d0.loss_dice: 1.0678, decode.d1.loss_cls: 0.5732, decode.d1.loss_mask: 0.6666, decode.d1.loss_dice: 0.9888, decode.d2.loss_cls: 0.5131, decode.d2.loss_mask: 0.6513, decode.d2.loss_dice: 0.9474, decode.d3.loss_cls: 0.4856, decode.d3.loss_mask: 0.6439, decode.d3.loss_dice: 0.9353, decode.d4.loss_cls: 0.4785, decode.d4.loss_mask: 0.6435, decode.d4.loss_dice: 0.9272, decode.d5.loss_cls: 0.4782, decode.d5.loss_mask: 0.6463, decode.d5.loss_dice: 0.9260, decode.d6.loss_cls: 0.4743, decode.d6.loss_mask: 0.6433, decode.d6.loss_dice: 0.9253, decode.d7.loss_cls: 0.4757, decode.d7.loss_mask: 0.6412, decode.d7.loss_dice: 0.9167, decode.d8.loss_cls: 0.4704, decode.d8.loss_mask: 0.6418, decode.d8.loss_dice: 0.9198, loss: 22.0491, grad_norm: 75.0989 2023-11-22 03:12:36,031 - mmseg - INFO - Iter [36350/160000] lr: 7.361e-06, eta: 20:14:52, time: 0.575, data_time: 0.015, memory: 38143, decode.loss_cls: 0.4750, decode.loss_mask: 0.6302, decode.loss_dice: 0.9142, decode.d0.loss_cls: 1.6751, decode.d0.loss_mask: 0.6706, decode.d0.loss_dice: 1.0620, decode.d1.loss_cls: 0.5814, decode.d1.loss_mask: 0.6589, decode.d1.loss_dice: 0.9879, decode.d2.loss_cls: 0.5260, decode.d2.loss_mask: 0.6467, decode.d2.loss_dice: 0.9492, decode.d3.loss_cls: 0.4955, decode.d3.loss_mask: 0.6380, decode.d3.loss_dice: 0.9265, decode.d4.loss_cls: 0.4872, decode.d4.loss_mask: 0.6349, decode.d4.loss_dice: 0.9288, decode.d5.loss_cls: 0.4801, decode.d5.loss_mask: 0.6303, decode.d5.loss_dice: 0.9217, decode.d6.loss_cls: 0.4801, decode.d6.loss_mask: 0.6276, decode.d6.loss_dice: 0.9111, decode.d7.loss_cls: 0.4737, decode.d7.loss_mask: 0.6276, decode.d7.loss_dice: 0.9221, decode.d8.loss_cls: 0.4665, decode.d8.loss_mask: 0.6335, decode.d8.loss_dice: 0.9191, loss: 21.9817, grad_norm: 76.0353 2023-11-22 03:13:04,205 - mmseg - INFO - Iter [36400/160000] lr: 7.358e-06, eta: 20:14:18, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4679, decode.loss_mask: 0.6155, decode.loss_dice: 0.9193, decode.d0.loss_cls: 1.6819, decode.d0.loss_mask: 0.6630, decode.d0.loss_dice: 1.0702, decode.d1.loss_cls: 0.5939, decode.d1.loss_mask: 0.6430, decode.d1.loss_dice: 0.9868, decode.d2.loss_cls: 0.5223, decode.d2.loss_mask: 0.6303, decode.d2.loss_dice: 0.9455, decode.d3.loss_cls: 0.4940, decode.d3.loss_mask: 0.6217, decode.d3.loss_dice: 0.9266, decode.d4.loss_cls: 0.4844, decode.d4.loss_mask: 0.6226, decode.d4.loss_dice: 0.9284, decode.d5.loss_cls: 0.4795, decode.d5.loss_mask: 0.6144, decode.d5.loss_dice: 0.9236, decode.d6.loss_cls: 0.4757, decode.d6.loss_mask: 0.6185, decode.d6.loss_dice: 0.9167, decode.d7.loss_cls: 0.4751, decode.d7.loss_mask: 0.6158, decode.d7.loss_dice: 0.9171, decode.d8.loss_cls: 0.4698, decode.d8.loss_mask: 0.6198, decode.d8.loss_dice: 0.9216, loss: 21.8650, grad_norm: 71.6302 2023-11-22 03:13:32,406 - mmseg - INFO - Iter [36450/160000] lr: 7.355e-06, eta: 20:13:44, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4516, decode.loss_mask: 0.6331, decode.loss_dice: 0.8942, decode.d0.loss_cls: 1.6544, decode.d0.loss_mask: 0.6656, decode.d0.loss_dice: 1.0379, decode.d1.loss_cls: 0.5615, decode.d1.loss_mask: 0.6587, decode.d1.loss_dice: 0.9626, decode.d2.loss_cls: 0.5082, decode.d2.loss_mask: 0.6439, decode.d2.loss_dice: 0.9246, decode.d3.loss_cls: 0.4813, decode.d3.loss_mask: 0.6388, decode.d3.loss_dice: 0.9090, decode.d4.loss_cls: 0.4648, decode.d4.loss_mask: 0.6396, decode.d4.loss_dice: 0.8995, decode.d5.loss_cls: 0.4586, decode.d5.loss_mask: 0.6378, decode.d5.loss_dice: 0.9028, decode.d6.loss_cls: 0.4592, decode.d6.loss_mask: 0.6384, decode.d6.loss_dice: 0.8967, decode.d7.loss_cls: 0.4535, decode.d7.loss_mask: 0.6339, decode.d7.loss_dice: 0.8967, decode.d8.loss_cls: 0.4602, decode.d8.loss_mask: 0.6299, decode.d8.loss_dice: 0.8927, loss: 21.5899, grad_norm: 81.0181 2023-11-22 03:14:00,671 - mmseg - INFO - Iter [36500/160000] lr: 7.352e-06, eta: 20:13:11, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4710, decode.loss_mask: 0.6213, decode.loss_dice: 0.8919, decode.d0.loss_cls: 1.6762, decode.d0.loss_mask: 0.6643, decode.d0.loss_dice: 1.0376, decode.d1.loss_cls: 0.5803, decode.d1.loss_mask: 0.6562, decode.d1.loss_dice: 0.9673, decode.d2.loss_cls: 0.5157, decode.d2.loss_mask: 0.6379, decode.d2.loss_dice: 0.9274, decode.d3.loss_cls: 0.4907, decode.d3.loss_mask: 0.6265, decode.d3.loss_dice: 0.9021, decode.d4.loss_cls: 0.4799, decode.d4.loss_mask: 0.6275, decode.d4.loss_dice: 0.8985, decode.d5.loss_cls: 0.4803, decode.d5.loss_mask: 0.6281, decode.d5.loss_dice: 0.8982, decode.d6.loss_cls: 0.4774, decode.d6.loss_mask: 0.6205, decode.d6.loss_dice: 0.8869, decode.d7.loss_cls: 0.4747, decode.d7.loss_mask: 0.6215, decode.d7.loss_dice: 0.8926, decode.d8.loss_cls: 0.4725, decode.d8.loss_mask: 0.6213, decode.d8.loss_dice: 0.8937, loss: 21.6402, grad_norm: 75.5766 2023-11-22 03:14:29,037 - mmseg - INFO - Iter [36550/160000] lr: 7.349e-06, eta: 20:12:38, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4947, decode.loss_mask: 0.6118, decode.loss_dice: 0.9201, decode.d0.loss_cls: 1.7010, decode.d0.loss_mask: 0.6556, decode.d0.loss_dice: 1.0799, decode.d1.loss_cls: 0.5931, decode.d1.loss_mask: 0.6458, decode.d1.loss_dice: 0.9916, decode.d2.loss_cls: 0.5316, decode.d2.loss_mask: 0.6299, decode.d2.loss_dice: 0.9559, decode.d3.loss_cls: 0.5096, decode.d3.loss_mask: 0.6228, decode.d3.loss_dice: 0.9303, decode.d4.loss_cls: 0.4997, decode.d4.loss_mask: 0.6175, decode.d4.loss_dice: 0.9355, decode.d5.loss_cls: 0.4996, decode.d5.loss_mask: 0.6173, decode.d5.loss_dice: 0.9252, decode.d6.loss_cls: 0.4943, decode.d6.loss_mask: 0.6132, decode.d6.loss_dice: 0.9103, decode.d7.loss_cls: 0.4903, decode.d7.loss_mask: 0.6132, decode.d7.loss_dice: 0.9206, decode.d8.loss_cls: 0.4996, decode.d8.loss_mask: 0.6144, decode.d8.loss_dice: 0.9136, loss: 22.0380, grad_norm: 73.6707 2023-11-22 03:14:57,872 - mmseg - INFO - Iter [36600/160000] lr: 7.346e-06, eta: 20:12:06, time: 0.575, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4481, decode.loss_mask: 0.6018, decode.loss_dice: 0.8970, decode.d0.loss_cls: 1.6746, decode.d0.loss_mask: 0.6324, decode.d0.loss_dice: 1.0374, decode.d1.loss_cls: 0.5601, decode.d1.loss_mask: 0.6282, decode.d1.loss_dice: 0.9618, decode.d2.loss_cls: 0.4912, decode.d2.loss_mask: 0.6140, decode.d2.loss_dice: 0.9302, decode.d3.loss_cls: 0.4748, decode.d3.loss_mask: 0.6065, decode.d3.loss_dice: 0.9042, decode.d4.loss_cls: 0.4600, decode.d4.loss_mask: 0.6049, decode.d4.loss_dice: 0.9102, decode.d5.loss_cls: 0.4564, decode.d5.loss_mask: 0.6057, decode.d5.loss_dice: 0.9065, decode.d6.loss_cls: 0.4503, decode.d6.loss_mask: 0.6017, decode.d6.loss_dice: 0.8980, decode.d7.loss_cls: 0.4589, decode.d7.loss_mask: 0.5971, decode.d7.loss_dice: 0.8984, decode.d8.loss_cls: 0.4479, decode.d8.loss_mask: 0.6045, decode.d8.loss_dice: 0.8995, loss: 21.2621, grad_norm: 66.8796 2023-11-22 03:15:28,726 - mmseg - INFO - Iter [36650/160000] lr: 7.343e-06, eta: 20:11:41, time: 0.619, data_time: 0.063, memory: 38143, decode.loss_cls: 0.5051, decode.loss_mask: 0.6301, decode.loss_dice: 0.9109, decode.d0.loss_cls: 1.6964, decode.d0.loss_mask: 0.6779, decode.d0.loss_dice: 1.0808, decode.d1.loss_cls: 0.6115, decode.d1.loss_mask: 0.6561, decode.d1.loss_dice: 0.9907, decode.d2.loss_cls: 0.5449, decode.d2.loss_mask: 0.6435, decode.d2.loss_dice: 0.9495, decode.d3.loss_cls: 0.5283, decode.d3.loss_mask: 0.6347, decode.d3.loss_dice: 0.9271, decode.d4.loss_cls: 0.5179, decode.d4.loss_mask: 0.6315, decode.d4.loss_dice: 0.9254, decode.d5.loss_cls: 0.5156, decode.d5.loss_mask: 0.6317, decode.d5.loss_dice: 0.9219, decode.d6.loss_cls: 0.5058, decode.d6.loss_mask: 0.6299, decode.d6.loss_dice: 0.9137, decode.d7.loss_cls: 0.5019, decode.d7.loss_mask: 0.6318, decode.d7.loss_dice: 0.9159, decode.d8.loss_cls: 0.4978, decode.d8.loss_mask: 0.6332, decode.d8.loss_dice: 0.9140, loss: 22.2754, grad_norm: 72.4782 2023-11-22 03:15:57,549 - mmseg - INFO - Iter [36700/160000] lr: 7.340e-06, eta: 20:11:10, time: 0.576, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4530, decode.loss_mask: 0.6223, decode.loss_dice: 0.8915, decode.d0.loss_cls: 1.6549, decode.d0.loss_mask: 0.6665, decode.d0.loss_dice: 1.0573, decode.d1.loss_cls: 0.5648, decode.d1.loss_mask: 0.6542, decode.d1.loss_dice: 0.9697, decode.d2.loss_cls: 0.5005, decode.d2.loss_mask: 0.6366, decode.d2.loss_dice: 0.9259, decode.d3.loss_cls: 0.4681, decode.d3.loss_mask: 0.6249, decode.d3.loss_dice: 0.9066, decode.d4.loss_cls: 0.4556, decode.d4.loss_mask: 0.6220, decode.d4.loss_dice: 0.9075, decode.d5.loss_cls: 0.4551, decode.d5.loss_mask: 0.6251, decode.d5.loss_dice: 0.9065, decode.d6.loss_cls: 0.4537, decode.d6.loss_mask: 0.6223, decode.d6.loss_dice: 0.8991, decode.d7.loss_cls: 0.4455, decode.d7.loss_mask: 0.6284, decode.d7.loss_dice: 0.9004, decode.d8.loss_cls: 0.4504, decode.d8.loss_mask: 0.6215, decode.d8.loss_dice: 0.8989, loss: 21.4890, grad_norm: 75.5333 2023-11-22 03:16:26,876 - mmseg - INFO - Iter [36750/160000] lr: 7.337e-06, eta: 20:10:40, time: 0.587, data_time: 0.015, memory: 38143, decode.loss_cls: 0.4300, decode.loss_mask: 0.6155, decode.loss_dice: 0.8811, decode.d0.loss_cls: 1.6655, decode.d0.loss_mask: 0.6487, decode.d0.loss_dice: 1.0152, decode.d1.loss_cls: 0.5529, decode.d1.loss_mask: 0.6425, decode.d1.loss_dice: 0.9377, decode.d2.loss_cls: 0.5005, decode.d2.loss_mask: 0.6226, decode.d2.loss_dice: 0.9016, decode.d3.loss_cls: 0.4760, decode.d3.loss_mask: 0.6187, decode.d3.loss_dice: 0.8862, decode.d4.loss_cls: 0.4628, decode.d4.loss_mask: 0.6168, decode.d4.loss_dice: 0.8870, decode.d5.loss_cls: 0.4504, decode.d5.loss_mask: 0.6214, decode.d5.loss_dice: 0.8889, decode.d6.loss_cls: 0.4423, decode.d6.loss_mask: 0.6166, decode.d6.loss_dice: 0.8834, decode.d7.loss_cls: 0.4337, decode.d7.loss_mask: 0.6153, decode.d7.loss_dice: 0.8801, decode.d8.loss_cls: 0.4286, decode.d8.loss_mask: 0.6167, decode.d8.loss_dice: 0.8811, loss: 21.1197, grad_norm: 76.7537 2023-11-22 03:16:55,656 - mmseg - INFO - Iter [36800/160000] lr: 7.334e-06, eta: 20:10:08, time: 0.576, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4630, decode.loss_mask: 0.6164, decode.loss_dice: 0.8828, decode.d0.loss_cls: 1.6645, decode.d0.loss_mask: 0.6509, decode.d0.loss_dice: 1.0222, decode.d1.loss_cls: 0.5742, decode.d1.loss_mask: 0.6357, decode.d1.loss_dice: 0.9474, decode.d2.loss_cls: 0.5081, decode.d2.loss_mask: 0.6248, decode.d2.loss_dice: 0.9187, decode.d3.loss_cls: 0.4930, decode.d3.loss_mask: 0.6152, decode.d3.loss_dice: 0.8955, decode.d4.loss_cls: 0.4779, decode.d4.loss_mask: 0.6163, decode.d4.loss_dice: 0.9014, decode.d5.loss_cls: 0.4755, decode.d5.loss_mask: 0.6116, decode.d5.loss_dice: 0.8939, decode.d6.loss_cls: 0.4618, decode.d6.loss_mask: 0.6133, decode.d6.loss_dice: 0.8855, decode.d7.loss_cls: 0.4671, decode.d7.loss_mask: 0.6120, decode.d7.loss_dice: 0.8867, decode.d8.loss_cls: 0.4608, decode.d8.loss_mask: 0.6158, decode.d8.loss_dice: 0.8942, loss: 21.3861, grad_norm: 69.5717 2023-11-22 03:17:23,974 - mmseg - INFO - Iter [36850/160000] lr: 7.331e-06, eta: 20:09:35, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4562, decode.loss_mask: 0.6025, decode.loss_dice: 0.8967, decode.d0.loss_cls: 1.6771, decode.d0.loss_mask: 0.6355, decode.d0.loss_dice: 1.0359, decode.d1.loss_cls: 0.5769, decode.d1.loss_mask: 0.6298, decode.d1.loss_dice: 0.9588, decode.d2.loss_cls: 0.5085, decode.d2.loss_mask: 0.6106, decode.d2.loss_dice: 0.9198, decode.d3.loss_cls: 0.4769, decode.d3.loss_mask: 0.6071, decode.d3.loss_dice: 0.9067, decode.d4.loss_cls: 0.4689, decode.d4.loss_mask: 0.6058, decode.d4.loss_dice: 0.9061, decode.d5.loss_cls: 0.4608, decode.d5.loss_mask: 0.6075, decode.d5.loss_dice: 0.9076, decode.d6.loss_cls: 0.4580, decode.d6.loss_mask: 0.6048, decode.d6.loss_dice: 0.8941, decode.d7.loss_cls: 0.4546, decode.d7.loss_mask: 0.6050, decode.d7.loss_dice: 0.9029, decode.d8.loss_cls: 0.4602, decode.d8.loss_mask: 0.6031, decode.d8.loss_dice: 0.9018, loss: 21.3401, grad_norm: 70.2658 2023-11-22 03:17:52,631 - mmseg - INFO - Iter [36900/160000] lr: 7.328e-06, eta: 20:09:02, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4517, decode.loss_mask: 0.6151, decode.loss_dice: 0.9000, decode.d0.loss_cls: 1.6482, decode.d0.loss_mask: 0.6553, decode.d0.loss_dice: 1.0475, decode.d1.loss_cls: 0.5536, decode.d1.loss_mask: 0.6447, decode.d1.loss_dice: 0.9703, decode.d2.loss_cls: 0.4905, decode.d2.loss_mask: 0.6265, decode.d2.loss_dice: 0.9365, decode.d3.loss_cls: 0.4704, decode.d3.loss_mask: 0.6188, decode.d3.loss_dice: 0.9170, decode.d4.loss_cls: 0.4616, decode.d4.loss_mask: 0.6178, decode.d4.loss_dice: 0.9141, decode.d5.loss_cls: 0.4487, decode.d5.loss_mask: 0.6177, decode.d5.loss_dice: 0.9173, decode.d6.loss_cls: 0.4510, decode.d6.loss_mask: 0.6157, decode.d6.loss_dice: 0.9013, decode.d7.loss_cls: 0.4454, decode.d7.loss_mask: 0.6164, decode.d7.loss_dice: 0.9054, decode.d8.loss_cls: 0.4478, decode.d8.loss_mask: 0.6149, decode.d8.loss_dice: 0.9077, loss: 21.4289, grad_norm: 71.1197 2023-11-22 03:18:21,238 - mmseg - INFO - Iter [36950/160000] lr: 7.325e-06, eta: 20:08:30, time: 0.574, data_time: 0.015, memory: 38143, decode.loss_cls: 0.4456, decode.loss_mask: 0.6012, decode.loss_dice: 0.8847, decode.d0.loss_cls: 1.6648, decode.d0.loss_mask: 0.6325, decode.d0.loss_dice: 1.0281, decode.d1.loss_cls: 0.5484, decode.d1.loss_mask: 0.6186, decode.d1.loss_dice: 0.9394, decode.d2.loss_cls: 0.4922, decode.d2.loss_mask: 0.6037, decode.d2.loss_dice: 0.9135, decode.d3.loss_cls: 0.4660, decode.d3.loss_mask: 0.6015, decode.d3.loss_dice: 0.8910, decode.d4.loss_cls: 0.4584, decode.d4.loss_mask: 0.6022, decode.d4.loss_dice: 0.8940, decode.d5.loss_cls: 0.4573, decode.d5.loss_mask: 0.5997, decode.d5.loss_dice: 0.8891, decode.d6.loss_cls: 0.4533, decode.d6.loss_mask: 0.5991, decode.d6.loss_dice: 0.8799, decode.d7.loss_cls: 0.4459, decode.d7.loss_mask: 0.5969, decode.d7.loss_dice: 0.8839, decode.d8.loss_cls: 0.4419, decode.d8.loss_mask: 0.5985, decode.d8.loss_dice: 0.8892, loss: 21.0207, grad_norm: 71.3772 2023-11-22 03:18:49,579 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 03:18:49,580 - mmseg - INFO - Iter [37000/160000] lr: 7.322e-06, eta: 20:07:57, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4526, decode.loss_mask: 0.6166, decode.loss_dice: 0.8992, decode.d0.loss_cls: 1.6457, decode.d0.loss_mask: 0.6565, decode.d0.loss_dice: 1.0424, decode.d1.loss_cls: 0.5527, decode.d1.loss_mask: 0.6455, decode.d1.loss_dice: 0.9650, decode.d2.loss_cls: 0.4959, decode.d2.loss_mask: 0.6258, decode.d2.loss_dice: 0.9245, decode.d3.loss_cls: 0.4668, decode.d3.loss_mask: 0.6198, decode.d3.loss_dice: 0.9018, decode.d4.loss_cls: 0.4527, decode.d4.loss_mask: 0.6227, decode.d4.loss_dice: 0.9101, decode.d5.loss_cls: 0.4531, decode.d5.loss_mask: 0.6191, decode.d5.loss_dice: 0.9124, decode.d6.loss_cls: 0.4535, decode.d6.loss_mask: 0.6125, decode.d6.loss_dice: 0.9005, decode.d7.loss_cls: 0.4522, decode.d7.loss_mask: 0.6156, decode.d7.loss_dice: 0.9030, decode.d8.loss_cls: 0.4550, decode.d8.loss_mask: 0.6167, decode.d8.loss_dice: 0.9029, loss: 21.3929, grad_norm: 73.8476 2023-11-22 03:19:17,976 - mmseg - INFO - Iter [37050/160000] lr: 7.319e-06, eta: 20:07:24, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4461, decode.loss_mask: 0.6046, decode.loss_dice: 0.8775, decode.d0.loss_cls: 1.6313, decode.d0.loss_mask: 0.6396, decode.d0.loss_dice: 1.0227, decode.d1.loss_cls: 0.5565, decode.d1.loss_mask: 0.6321, decode.d1.loss_dice: 0.9492, decode.d2.loss_cls: 0.4916, decode.d2.loss_mask: 0.6152, decode.d2.loss_dice: 0.9131, decode.d3.loss_cls: 0.4680, decode.d3.loss_mask: 0.6044, decode.d3.loss_dice: 0.8953, decode.d4.loss_cls: 0.4641, decode.d4.loss_mask: 0.6036, decode.d4.loss_dice: 0.8911, decode.d5.loss_cls: 0.4544, decode.d5.loss_mask: 0.6023, decode.d5.loss_dice: 0.8902, decode.d6.loss_cls: 0.4516, decode.d6.loss_mask: 0.6020, decode.d6.loss_dice: 0.8779, decode.d7.loss_cls: 0.4439, decode.d7.loss_mask: 0.5987, decode.d7.loss_dice: 0.8802, decode.d8.loss_cls: 0.4479, decode.d8.loss_mask: 0.6023, decode.d8.loss_dice: 0.8748, loss: 21.0322, grad_norm: 73.3179 2023-11-22 03:19:46,328 - mmseg - INFO - Iter [37100/160000] lr: 7.316e-06, eta: 20:06:51, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4696, decode.loss_mask: 0.5992, decode.loss_dice: 0.9033, decode.d0.loss_cls: 1.6699, decode.d0.loss_mask: 0.6475, decode.d0.loss_dice: 1.0326, decode.d1.loss_cls: 0.5806, decode.d1.loss_mask: 0.6309, decode.d1.loss_dice: 0.9684, decode.d2.loss_cls: 0.5138, decode.d2.loss_mask: 0.6093, decode.d2.loss_dice: 0.9288, decode.d3.loss_cls: 0.4915, decode.d3.loss_mask: 0.6056, decode.d3.loss_dice: 0.9077, decode.d4.loss_cls: 0.4839, decode.d4.loss_mask: 0.6050, decode.d4.loss_dice: 0.9020, decode.d5.loss_cls: 0.4800, decode.d5.loss_mask: 0.6018, decode.d5.loss_dice: 0.9015, decode.d6.loss_cls: 0.4741, decode.d6.loss_mask: 0.5996, decode.d6.loss_dice: 0.9005, decode.d7.loss_cls: 0.4669, decode.d7.loss_mask: 0.6050, decode.d7.loss_dice: 0.8992, decode.d8.loss_cls: 0.4681, decode.d8.loss_mask: 0.6030, decode.d8.loss_dice: 0.8956, loss: 21.4450, grad_norm: 74.6524 2023-11-22 03:20:14,526 - mmseg - INFO - Iter [37150/160000] lr: 7.313e-06, eta: 20:06:17, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4749, decode.loss_mask: 0.6139, decode.loss_dice: 0.8902, decode.d0.loss_cls: 1.6873, decode.d0.loss_mask: 0.6523, decode.d0.loss_dice: 1.0518, decode.d1.loss_cls: 0.5968, decode.d1.loss_mask: 0.6351, decode.d1.loss_dice: 0.9656, decode.d2.loss_cls: 0.5335, decode.d2.loss_mask: 0.6184, decode.d2.loss_dice: 0.9155, decode.d3.loss_cls: 0.5005, decode.d3.loss_mask: 0.6168, decode.d3.loss_dice: 0.8995, decode.d4.loss_cls: 0.4933, decode.d4.loss_mask: 0.6153, decode.d4.loss_dice: 0.8990, decode.d5.loss_cls: 0.4771, decode.d5.loss_mask: 0.6124, decode.d5.loss_dice: 0.9003, decode.d6.loss_cls: 0.4781, decode.d6.loss_mask: 0.6143, decode.d6.loss_dice: 0.8908, decode.d7.loss_cls: 0.4719, decode.d7.loss_mask: 0.6139, decode.d7.loss_dice: 0.8907, decode.d8.loss_cls: 0.4728, decode.d8.loss_mask: 0.6133, decode.d8.loss_dice: 0.8943, loss: 21.5896, grad_norm: 74.4519 2023-11-22 03:20:43,126 - mmseg - INFO - Iter [37200/160000] lr: 7.310e-06, eta: 20:05:45, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4705, decode.loss_mask: 0.6166, decode.loss_dice: 0.8930, decode.d0.loss_cls: 1.6681, decode.d0.loss_mask: 0.6388, decode.d0.loss_dice: 1.0360, decode.d1.loss_cls: 0.5758, decode.d1.loss_mask: 0.6405, decode.d1.loss_dice: 0.9530, decode.d2.loss_cls: 0.5152, decode.d2.loss_mask: 0.6243, decode.d2.loss_dice: 0.9113, decode.d3.loss_cls: 0.4888, decode.d3.loss_mask: 0.6214, decode.d3.loss_dice: 0.9011, decode.d4.loss_cls: 0.4882, decode.d4.loss_mask: 0.6199, decode.d4.loss_dice: 0.8988, decode.d5.loss_cls: 0.4862, decode.d5.loss_mask: 0.6196, decode.d5.loss_dice: 0.8950, decode.d6.loss_cls: 0.4757, decode.d6.loss_mask: 0.6188, decode.d6.loss_dice: 0.8947, decode.d7.loss_cls: 0.4735, decode.d7.loss_mask: 0.6174, decode.d7.loss_dice: 0.8921, decode.d8.loss_cls: 0.4747, decode.d8.loss_mask: 0.6148, decode.d8.loss_dice: 0.8921, loss: 21.5157, grad_norm: 73.9441 2023-11-22 03:21:11,405 - mmseg - INFO - Iter [37250/160000] lr: 7.307e-06, eta: 20:05:12, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4546, decode.loss_mask: 0.6046, decode.loss_dice: 0.9012, decode.d0.loss_cls: 1.6926, decode.d0.loss_mask: 0.6523, decode.d0.loss_dice: 1.0398, decode.d1.loss_cls: 0.5717, decode.d1.loss_mask: 0.6308, decode.d1.loss_dice: 0.9549, decode.d2.loss_cls: 0.4942, decode.d2.loss_mask: 0.6159, decode.d2.loss_dice: 0.9202, decode.d3.loss_cls: 0.4801, decode.d3.loss_mask: 0.6064, decode.d3.loss_dice: 0.9083, decode.d4.loss_cls: 0.4645, decode.d4.loss_mask: 0.6064, decode.d4.loss_dice: 0.9056, decode.d5.loss_cls: 0.4662, decode.d5.loss_mask: 0.6049, decode.d5.loss_dice: 0.9044, decode.d6.loss_cls: 0.4662, decode.d6.loss_mask: 0.6026, decode.d6.loss_dice: 0.9027, decode.d7.loss_cls: 0.4569, decode.d7.loss_mask: 0.6072, decode.d7.loss_dice: 0.9015, decode.d8.loss_cls: 0.4578, decode.d8.loss_mask: 0.6059, decode.d8.loss_dice: 0.9042, loss: 21.3848, grad_norm: 69.4851 2023-11-22 03:21:39,605 - mmseg - INFO - Iter [37300/160000] lr: 7.304e-06, eta: 20:04:38, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4439, decode.loss_mask: 0.6067, decode.loss_dice: 0.8991, decode.d0.loss_cls: 1.6408, decode.d0.loss_mask: 0.6414, decode.d0.loss_dice: 1.0461, decode.d1.loss_cls: 0.5576, decode.d1.loss_mask: 0.6329, decode.d1.loss_dice: 0.9740, decode.d2.loss_cls: 0.4851, decode.d2.loss_mask: 0.6148, decode.d2.loss_dice: 0.9340, decode.d3.loss_cls: 0.4600, decode.d3.loss_mask: 0.6076, decode.d3.loss_dice: 0.9082, decode.d4.loss_cls: 0.4591, decode.d4.loss_mask: 0.6063, decode.d4.loss_dice: 0.9042, decode.d5.loss_cls: 0.4511, decode.d5.loss_mask: 0.6080, decode.d5.loss_dice: 0.9036, decode.d6.loss_cls: 0.4532, decode.d6.loss_mask: 0.6054, decode.d6.loss_dice: 0.8978, decode.d7.loss_cls: 0.4469, decode.d7.loss_mask: 0.6057, decode.d7.loss_dice: 0.8999, decode.d8.loss_cls: 0.4415, decode.d8.loss_mask: 0.6055, decode.d8.loss_dice: 0.9049, loss: 21.2453, grad_norm: 75.7136 2023-11-22 03:22:07,848 - mmseg - INFO - Iter [37350/160000] lr: 7.301e-06, eta: 20:04:05, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4541, decode.loss_mask: 0.6474, decode.loss_dice: 0.9153, decode.d0.loss_cls: 1.6300, decode.d0.loss_mask: 0.6800, decode.d0.loss_dice: 1.0465, decode.d1.loss_cls: 0.5746, decode.d1.loss_mask: 0.6756, decode.d1.loss_dice: 0.9722, decode.d2.loss_cls: 0.5042, decode.d2.loss_mask: 0.6561, decode.d2.loss_dice: 0.9365, decode.d3.loss_cls: 0.4803, decode.d3.loss_mask: 0.6503, decode.d3.loss_dice: 0.9165, decode.d4.loss_cls: 0.4708, decode.d4.loss_mask: 0.6477, decode.d4.loss_dice: 0.9162, decode.d5.loss_cls: 0.4624, decode.d5.loss_mask: 0.6511, decode.d5.loss_dice: 0.9117, decode.d6.loss_cls: 0.4595, decode.d6.loss_mask: 0.6469, decode.d6.loss_dice: 0.9127, decode.d7.loss_cls: 0.4534, decode.d7.loss_mask: 0.6470, decode.d7.loss_dice: 0.9139, decode.d8.loss_cls: 0.4559, decode.d8.loss_mask: 0.6494, decode.d8.loss_dice: 0.9158, loss: 21.8542, grad_norm: 82.8867 2023-11-22 03:22:36,044 - mmseg - INFO - Iter [37400/160000] lr: 7.298e-06, eta: 20:03:31, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4653, decode.loss_mask: 0.6172, decode.loss_dice: 0.9091, decode.d0.loss_cls: 1.6911, decode.d0.loss_mask: 0.6522, decode.d0.loss_dice: 1.0368, decode.d1.loss_cls: 0.5642, decode.d1.loss_mask: 0.6402, decode.d1.loss_dice: 0.9789, decode.d2.loss_cls: 0.5059, decode.d2.loss_mask: 0.6233, decode.d2.loss_dice: 0.9398, decode.d3.loss_cls: 0.4785, decode.d3.loss_mask: 0.6175, decode.d3.loss_dice: 0.9191, decode.d4.loss_cls: 0.4725, decode.d4.loss_mask: 0.6170, decode.d4.loss_dice: 0.9235, decode.d5.loss_cls: 0.4695, decode.d5.loss_mask: 0.6140, decode.d5.loss_dice: 0.9189, decode.d6.loss_cls: 0.4720, decode.d6.loss_mask: 0.6144, decode.d6.loss_dice: 0.9094, decode.d7.loss_cls: 0.4715, decode.d7.loss_mask: 0.6154, decode.d7.loss_dice: 0.9122, decode.d8.loss_cls: 0.4670, decode.d8.loss_mask: 0.6177, decode.d8.loss_dice: 0.9129, loss: 21.6472, grad_norm: 69.6327 2023-11-22 03:23:04,185 - mmseg - INFO - Iter [37450/160000] lr: 7.296e-06, eta: 20:02:57, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4453, decode.loss_mask: 0.6215, decode.loss_dice: 0.8747, decode.d0.loss_cls: 1.6376, decode.d0.loss_mask: 0.6628, decode.d0.loss_dice: 1.0110, decode.d1.loss_cls: 0.5479, decode.d1.loss_mask: 0.6528, decode.d1.loss_dice: 0.9238, decode.d2.loss_cls: 0.4947, decode.d2.loss_mask: 0.6327, decode.d2.loss_dice: 0.8948, decode.d3.loss_cls: 0.4670, decode.d3.loss_mask: 0.6221, decode.d3.loss_dice: 0.8753, decode.d4.loss_cls: 0.4541, decode.d4.loss_mask: 0.6225, decode.d4.loss_dice: 0.8770, decode.d5.loss_cls: 0.4498, decode.d5.loss_mask: 0.6255, decode.d5.loss_dice: 0.8729, decode.d6.loss_cls: 0.4445, decode.d6.loss_mask: 0.6223, decode.d6.loss_dice: 0.8677, decode.d7.loss_cls: 0.4458, decode.d7.loss_mask: 0.6236, decode.d7.loss_dice: 0.8708, decode.d8.loss_cls: 0.4424, decode.d8.loss_mask: 0.6221, decode.d8.loss_dice: 0.8739, loss: 21.0790, grad_norm: 73.2429 2023-11-22 03:23:32,792 - mmseg - INFO - Iter [37500/160000] lr: 7.293e-06, eta: 20:02:25, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4653, decode.loss_mask: 0.6131, decode.loss_dice: 0.9080, decode.d0.loss_cls: 1.6148, decode.d0.loss_mask: 0.6602, decode.d0.loss_dice: 1.0632, decode.d1.loss_cls: 0.5729, decode.d1.loss_mask: 0.6474, decode.d1.loss_dice: 0.9730, decode.d2.loss_cls: 0.5050, decode.d2.loss_mask: 0.6283, decode.d2.loss_dice: 0.9398, decode.d3.loss_cls: 0.4838, decode.d3.loss_mask: 0.6240, decode.d3.loss_dice: 0.9136, decode.d4.loss_cls: 0.4740, decode.d4.loss_mask: 0.6156, decode.d4.loss_dice: 0.9145, decode.d5.loss_cls: 0.4645, decode.d5.loss_mask: 0.6189, decode.d5.loss_dice: 0.9128, decode.d6.loss_cls: 0.4640, decode.d6.loss_mask: 0.6174, decode.d6.loss_dice: 0.9092, decode.d7.loss_cls: 0.4601, decode.d7.loss_mask: 0.6158, decode.d7.loss_dice: 0.9116, decode.d8.loss_cls: 0.4664, decode.d8.loss_mask: 0.6130, decode.d8.loss_dice: 0.9043, loss: 21.5744, grad_norm: 77.8702 2023-11-22 03:24:01,270 - mmseg - INFO - Iter [37550/160000] lr: 7.290e-06, eta: 20:01:52, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4649, decode.loss_mask: 0.6144, decode.loss_dice: 0.8949, decode.d0.loss_cls: 1.6595, decode.d0.loss_mask: 0.6562, decode.d0.loss_dice: 1.0410, decode.d1.loss_cls: 0.5731, decode.d1.loss_mask: 0.6388, decode.d1.loss_dice: 0.9664, decode.d2.loss_cls: 0.4974, decode.d2.loss_mask: 0.6290, decode.d2.loss_dice: 0.9320, decode.d3.loss_cls: 0.4811, decode.d3.loss_mask: 0.6192, decode.d3.loss_dice: 0.9003, decode.d4.loss_cls: 0.4711, decode.d4.loss_mask: 0.6168, decode.d4.loss_dice: 0.9074, decode.d5.loss_cls: 0.4654, decode.d5.loss_mask: 0.6189, decode.d5.loss_dice: 0.9036, decode.d6.loss_cls: 0.4658, decode.d6.loss_mask: 0.6132, decode.d6.loss_dice: 0.8998, decode.d7.loss_cls: 0.4597, decode.d7.loss_mask: 0.6160, decode.d7.loss_dice: 0.9007, decode.d8.loss_cls: 0.4623, decode.d8.loss_mask: 0.6164, decode.d8.loss_dice: 0.9005, loss: 21.4857, grad_norm: 67.3712 2023-11-22 03:24:29,480 - mmseg - INFO - Iter [37600/160000] lr: 7.287e-06, eta: 20:01:19, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4742, decode.loss_mask: 0.6043, decode.loss_dice: 0.8829, decode.d0.loss_cls: 1.6568, decode.d0.loss_mask: 0.6491, decode.d0.loss_dice: 1.0325, decode.d1.loss_cls: 0.5784, decode.d1.loss_mask: 0.6331, decode.d1.loss_dice: 0.9465, decode.d2.loss_cls: 0.5128, decode.d2.loss_mask: 0.6166, decode.d2.loss_dice: 0.9118, decode.d3.loss_cls: 0.4865, decode.d3.loss_mask: 0.6111, decode.d3.loss_dice: 0.8970, decode.d4.loss_cls: 0.4726, decode.d4.loss_mask: 0.6093, decode.d4.loss_dice: 0.8924, decode.d5.loss_cls: 0.4727, decode.d5.loss_mask: 0.6078, decode.d5.loss_dice: 0.8881, decode.d6.loss_cls: 0.4742, decode.d6.loss_mask: 0.6058, decode.d6.loss_dice: 0.8843, decode.d7.loss_cls: 0.4630, decode.d7.loss_mask: 0.6056, decode.d7.loss_dice: 0.8889, decode.d8.loss_cls: 0.4681, decode.d8.loss_mask: 0.6044, decode.d8.loss_dice: 0.8902, loss: 21.3205, grad_norm: 71.1904 2023-11-22 03:24:57,776 - mmseg - INFO - Iter [37650/160000] lr: 7.284e-06, eta: 20:00:46, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4676, decode.loss_mask: 0.6092, decode.loss_dice: 0.8962, decode.d0.loss_cls: 1.6807, decode.d0.loss_mask: 0.6601, decode.d0.loss_dice: 1.0393, decode.d1.loss_cls: 0.5720, decode.d1.loss_mask: 0.6358, decode.d1.loss_dice: 0.9613, decode.d2.loss_cls: 0.5163, decode.d2.loss_mask: 0.6206, decode.d2.loss_dice: 0.9289, decode.d3.loss_cls: 0.4946, decode.d3.loss_mask: 0.6153, decode.d3.loss_dice: 0.9145, decode.d4.loss_cls: 0.4805, decode.d4.loss_mask: 0.6186, decode.d4.loss_dice: 0.9142, decode.d5.loss_cls: 0.4763, decode.d5.loss_mask: 0.6155, decode.d5.loss_dice: 0.9105, decode.d6.loss_cls: 0.4690, decode.d6.loss_mask: 0.6116, decode.d6.loss_dice: 0.9035, decode.d7.loss_cls: 0.4607, decode.d7.loss_mask: 0.6141, decode.d7.loss_dice: 0.9054, decode.d8.loss_cls: 0.4652, decode.d8.loss_mask: 0.6107, decode.d8.loss_dice: 0.9005, loss: 21.5688, grad_norm: 74.6789 2023-11-22 03:25:25,893 - mmseg - INFO - Iter [37700/160000] lr: 7.281e-06, eta: 20:00:12, time: 0.562, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4909, decode.loss_mask: 0.6143, decode.loss_dice: 0.9112, decode.d0.loss_cls: 1.6933, decode.d0.loss_mask: 0.6540, decode.d0.loss_dice: 1.0686, decode.d1.loss_cls: 0.6024, decode.d1.loss_mask: 0.6381, decode.d1.loss_dice: 0.9871, decode.d2.loss_cls: 0.5262, decode.d2.loss_mask: 0.6284, decode.d2.loss_dice: 0.9530, decode.d3.loss_cls: 0.5028, decode.d3.loss_mask: 0.6264, decode.d3.loss_dice: 0.9304, decode.d4.loss_cls: 0.4993, decode.d4.loss_mask: 0.6191, decode.d4.loss_dice: 0.9351, decode.d5.loss_cls: 0.4929, decode.d5.loss_mask: 0.6174, decode.d5.loss_dice: 0.9274, decode.d6.loss_cls: 0.4917, decode.d6.loss_mask: 0.6162, decode.d6.loss_dice: 0.9087, decode.d7.loss_cls: 0.4872, decode.d7.loss_mask: 0.6168, decode.d7.loss_dice: 0.9149, decode.d8.loss_cls: 0.4859, decode.d8.loss_mask: 0.6174, decode.d8.loss_dice: 0.9190, loss: 21.9761, grad_norm: 75.0328 2023-11-22 03:25:54,103 - mmseg - INFO - Iter [37750/160000] lr: 7.278e-06, eta: 19:59:39, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4769, decode.loss_mask: 0.6164, decode.loss_dice: 0.9068, decode.d0.loss_cls: 1.6641, decode.d0.loss_mask: 0.6540, decode.d0.loss_dice: 1.0632, decode.d1.loss_cls: 0.5945, decode.d1.loss_mask: 0.6484, decode.d1.loss_dice: 0.9795, decode.d2.loss_cls: 0.5167, decode.d2.loss_mask: 0.6287, decode.d2.loss_dice: 0.9469, decode.d3.loss_cls: 0.4979, decode.d3.loss_mask: 0.6233, decode.d3.loss_dice: 0.9267, decode.d4.loss_cls: 0.4895, decode.d4.loss_mask: 0.6264, decode.d4.loss_dice: 0.9230, decode.d5.loss_cls: 0.4795, decode.d5.loss_mask: 0.6204, decode.d5.loss_dice: 0.9257, decode.d6.loss_cls: 0.4772, decode.d6.loss_mask: 0.6221, decode.d6.loss_dice: 0.9128, decode.d7.loss_cls: 0.4822, decode.d7.loss_mask: 0.6188, decode.d7.loss_dice: 0.9113, decode.d8.loss_cls: 0.4789, decode.d8.loss_mask: 0.6206, decode.d8.loss_dice: 0.9113, loss: 21.8439, grad_norm: 76.2989 2023-11-22 03:26:22,587 - mmseg - INFO - Iter [37800/160000] lr: 7.275e-06, eta: 19:59:06, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4707, decode.loss_mask: 0.6352, decode.loss_dice: 0.9139, decode.d0.loss_cls: 1.6209, decode.d0.loss_mask: 0.6794, decode.d0.loss_dice: 1.0584, decode.d1.loss_cls: 0.5790, decode.d1.loss_mask: 0.6563, decode.d1.loss_dice: 0.9734, decode.d2.loss_cls: 0.5168, decode.d2.loss_mask: 0.6410, decode.d2.loss_dice: 0.9479, decode.d3.loss_cls: 0.4936, decode.d3.loss_mask: 0.6371, decode.d3.loss_dice: 0.9146, decode.d4.loss_cls: 0.4832, decode.d4.loss_mask: 0.6373, decode.d4.loss_dice: 0.9186, decode.d5.loss_cls: 0.4776, decode.d5.loss_mask: 0.6352, decode.d5.loss_dice: 0.9203, decode.d6.loss_cls: 0.4783, decode.d6.loss_mask: 0.6319, decode.d6.loss_dice: 0.9142, decode.d7.loss_cls: 0.4760, decode.d7.loss_mask: 0.6315, decode.d7.loss_dice: 0.9116, decode.d8.loss_cls: 0.4749, decode.d8.loss_mask: 0.6346, decode.d8.loss_dice: 0.9134, loss: 21.8768, grad_norm: 75.5376 2023-11-22 03:26:50,856 - mmseg - INFO - Iter [37850/160000] lr: 7.272e-06, eta: 19:58:33, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4620, decode.loss_mask: 0.6120, decode.loss_dice: 0.8993, decode.d0.loss_cls: 1.6763, decode.d0.loss_mask: 0.6536, decode.d0.loss_dice: 1.0456, decode.d1.loss_cls: 0.5718, decode.d1.loss_mask: 0.6319, decode.d1.loss_dice: 0.9699, decode.d2.loss_cls: 0.5020, decode.d2.loss_mask: 0.6198, decode.d2.loss_dice: 0.9339, decode.d3.loss_cls: 0.4803, decode.d3.loss_mask: 0.6191, decode.d3.loss_dice: 0.9084, decode.d4.loss_cls: 0.4734, decode.d4.loss_mask: 0.6170, decode.d4.loss_dice: 0.9131, decode.d5.loss_cls: 0.4733, decode.d5.loss_mask: 0.6137, decode.d5.loss_dice: 0.9070, decode.d6.loss_cls: 0.4639, decode.d6.loss_mask: 0.6150, decode.d6.loss_dice: 0.9003, decode.d7.loss_cls: 0.4598, decode.d7.loss_mask: 0.6106, decode.d7.loss_dice: 0.9015, decode.d8.loss_cls: 0.4605, decode.d8.loss_mask: 0.6094, decode.d8.loss_dice: 0.8988, loss: 21.5032, grad_norm: 73.4774 2023-11-22 03:27:21,409 - mmseg - INFO - Iter [37900/160000] lr: 7.269e-06, eta: 19:58:07, time: 0.611, data_time: 0.057, memory: 38143, decode.loss_cls: 0.4509, decode.loss_mask: 0.6166, decode.loss_dice: 0.8714, decode.d0.loss_cls: 1.6183, decode.d0.loss_mask: 0.6548, decode.d0.loss_dice: 1.0116, decode.d1.loss_cls: 0.5462, decode.d1.loss_mask: 0.6436, decode.d1.loss_dice: 0.9424, decode.d2.loss_cls: 0.4823, decode.d2.loss_mask: 0.6293, decode.d2.loss_dice: 0.9062, decode.d3.loss_cls: 0.4625, decode.d3.loss_mask: 0.6202, decode.d3.loss_dice: 0.8879, decode.d4.loss_cls: 0.4641, decode.d4.loss_mask: 0.6192, decode.d4.loss_dice: 0.8800, decode.d5.loss_cls: 0.4528, decode.d5.loss_mask: 0.6211, decode.d5.loss_dice: 0.8896, decode.d6.loss_cls: 0.4487, decode.d6.loss_mask: 0.6144, decode.d6.loss_dice: 0.8795, decode.d7.loss_cls: 0.4473, decode.d7.loss_mask: 0.6184, decode.d7.loss_dice: 0.8755, decode.d8.loss_cls: 0.4444, decode.d8.loss_mask: 0.6181, decode.d8.loss_dice: 0.8763, loss: 21.0938, grad_norm: 73.9435 2023-11-22 03:27:49,626 - mmseg - INFO - Iter [37950/160000] lr: 7.266e-06, eta: 19:57:34, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4562, decode.loss_mask: 0.5963, decode.loss_dice: 0.8573, decode.d0.loss_cls: 1.6308, decode.d0.loss_mask: 0.6359, decode.d0.loss_dice: 1.0056, decode.d1.loss_cls: 0.5697, decode.d1.loss_mask: 0.6156, decode.d1.loss_dice: 0.9120, decode.d2.loss_cls: 0.5019, decode.d2.loss_mask: 0.6059, decode.d2.loss_dice: 0.8918, decode.d3.loss_cls: 0.4749, decode.d3.loss_mask: 0.6015, decode.d3.loss_dice: 0.8682, decode.d4.loss_cls: 0.4667, decode.d4.loss_mask: 0.5982, decode.d4.loss_dice: 0.8684, decode.d5.loss_cls: 0.4649, decode.d5.loss_mask: 0.5978, decode.d5.loss_dice: 0.8633, decode.d6.loss_cls: 0.4588, decode.d6.loss_mask: 0.5985, decode.d6.loss_dice: 0.8584, decode.d7.loss_cls: 0.4532, decode.d7.loss_mask: 0.5960, decode.d7.loss_dice: 0.8537, decode.d8.loss_cls: 0.4527, decode.d8.loss_mask: 0.5920, decode.d8.loss_dice: 0.8646, loss: 20.8108, grad_norm: 72.3386 2023-11-22 03:28:17,798 - mmseg - INFO - Saving checkpoint at 38000 iterations 2023-11-22 03:28:26,644 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 03:28:26,644 - mmseg - INFO - Iter [38000/160000] lr: 7.263e-06, eta: 19:57:29, time: 0.740, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4551, decode.loss_mask: 0.5899, decode.loss_dice: 0.8759, decode.d0.loss_cls: 1.6756, decode.d0.loss_mask: 0.6221, decode.d0.loss_dice: 1.0264, decode.d1.loss_cls: 0.5684, decode.d1.loss_mask: 0.6108, decode.d1.loss_dice: 0.9437, decode.d2.loss_cls: 0.5090, decode.d2.loss_mask: 0.5947, decode.d2.loss_dice: 0.9117, decode.d3.loss_cls: 0.4775, decode.d3.loss_mask: 0.5908, decode.d3.loss_dice: 0.8897, decode.d4.loss_cls: 0.4653, decode.d4.loss_mask: 0.5886, decode.d4.loss_dice: 0.8913, decode.d5.loss_cls: 0.4569, decode.d5.loss_mask: 0.5896, decode.d5.loss_dice: 0.8841, decode.d6.loss_cls: 0.4617, decode.d6.loss_mask: 0.5900, decode.d6.loss_dice: 0.8803, decode.d7.loss_cls: 0.4514, decode.d7.loss_mask: 0.5902, decode.d7.loss_dice: 0.8834, decode.d8.loss_cls: 0.4519, decode.d8.loss_mask: 0.5891, decode.d8.loss_dice: 0.8841, loss: 20.9990, grad_norm: 74.3802 2023-11-22 03:28:46,128 - mmseg - INFO - per class results: 2023-11-22 03:28:46,133 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.37 | 88.28 | | building | 83.28 | 93.41 | | sky | 94.92 | 97.36 | | floor | 84.48 | 89.62 | | tree | 76.98 | 87.6 | | ceiling | 86.35 | 93.21 | | road | 86.55 | 92.38 | | bed | 91.5 | 96.21 | | windowpane | 63.37 | 82.52 | | grass | 66.24 | 78.57 | | cabinet | 61.47 | 78.71 | | sidewalk | 69.48 | 84.02 | | person | 86.39 | 93.26 | | earth | 35.07 | 44.88 | | door | 55.71 | 71.55 | | table | 67.46 | 83.36 | | mountain | 55.62 | 72.32 | | plant | 53.18 | 70.65 | | curtain | 74.42 | 85.57 | | chair | 64.16 | 75.2 | | car | 86.93 | 92.61 | | water | 59.13 | 85.93 | | painting | 73.48 | 89.39 | | sofa | 67.92 | 82.3 | | shelf | 47.12 | 62.94 | | house | 25.06 | 26.77 | | sea | 58.67 | 63.4 | | mirror | 72.62 | 82.54 | | rug | 64.33 | 77.26 | | field | 27.72 | 55.79 | | armchair | 48.15 | 75.27 | | seat | 58.61 | 72.1 | | fence | 46.26 | 75.79 | | desk | 52.95 | 76.3 | | rock | 42.81 | 55.38 | | wardrobe | 55.56 | 77.77 | | lamp | 71.79 | 84.37 | | bathtub | 80.17 | 81.38 | | railing | 40.83 | 59.76 | | cushion | 59.42 | 63.92 | | base | 40.16 | 61.82 | | box | 33.61 | 48.86 | | column | 55.29 | 71.54 | | signboard | 42.26 | 61.47 | | chest of drawers | 40.62 | 64.23 | | counter | 34.63 | 40.01 | | sand | 39.6 | 52.41 | | sink | 78.6 | 84.44 | | skyscraper | 34.84 | 42.0 | | fireplace | 72.56 | 91.67 | | refrigerator | 73.7 | 90.68 | | grandstand | 51.64 | 67.7 | | path | 16.58 | 26.6 | | stairs | 24.2 | 29.21 | | runway | 77.06 | 91.45 | | case | 68.12 | 86.86 | | pool table | 95.14 | 97.45 | | pillow | 59.8 | 86.33 | | screen door | 69.38 | 84.91 | | stairway | 21.52 | 48.06 | | river | 16.24 | 24.54 | | bridge | 68.58 | 88.19 | | bookcase | 32.49 | 53.37 | | blind | 30.0 | 32.03 | | coffee table | 71.39 | 83.73 | | toilet | 90.21 | 92.66 | | flower | 43.74 | 72.95 | | book | 53.14 | 78.48 | | hill | 7.27 | 14.56 | | bench | 66.46 | 75.67 | | countertop | 63.81 | 74.48 | | stove | 82.2 | 85.88 | | palm | 56.19 | 82.15 | | kitchen island | 26.33 | 30.59 | | computer | 74.83 | 82.6 | | swivel chair | 55.4 | 77.7 | | boat | 56.32 | 92.73 | | bar | 22.16 | 26.01 | | arcade machine | 77.77 | 82.12 | | hovel | 42.18 | 77.56 | | bus | 87.8 | 97.27 | | towel | 74.74 | 89.75 | | light | 58.09 | 76.0 | | truck | 38.56 | 55.71 | | tower | 26.2 | 43.99 | | chandelier | 72.2 | 86.23 | | awning | 37.91 | 56.2 | | streetlight | 43.72 | 67.63 | | booth | 37.72 | 39.94 | | television receiver | 82.13 | 90.18 | | airplane | 66.96 | 71.67 | | dirt track | 11.92 | 27.14 | | apparel | 44.96 | 64.64 | | pole | 31.65 | 48.97 | | land | 0.54 | 0.58 | | bannister | 18.12 | 28.54 | | escalator | 26.99 | 28.62 | | ottoman | 52.37 | 74.94 | | bottle | 38.26 | 50.94 | | buffet | 40.16 | 43.42 | | poster | 32.94 | 46.06 | | stage | 19.11 | 22.46 | | van | 41.35 | 64.76 | | ship | 56.92 | 82.03 | | fountain | 20.43 | 23.36 | | conveyer belt | 68.61 | 92.55 | | canopy | 47.58 | 59.86 | | washer | 70.83 | 74.98 | | plaything | 40.79 | 58.13 | | swimming pool | 41.07 | 47.94 | | stool | 49.6 | 75.87 | | barrel | 82.77 | 98.2 | | basket | 39.82 | 57.56 | | waterfall | 61.95 | 88.22 | | tent | 92.04 | 98.28 | | bag | 24.24 | 35.6 | | minibike | 69.33 | 88.06 | | cradle | 86.44 | 97.82 | | oven | 33.33 | 83.5 | | ball | 63.21 | 74.71 | | food | 66.22 | 74.26 | | step | 23.92 | 33.14 | | tank | 37.86 | 47.34 | | trade name | 26.02 | 32.13 | | microwave | 44.11 | 47.05 | | pot | 59.55 | 76.24 | | animal | 77.02 | 80.42 | | bicycle | 60.95 | 82.19 | | lake | 0.0 | 0.0 | | dishwasher | 79.67 | 89.06 | | screen | 57.22 | 89.85 | | blanket | 34.67 | 45.36 | | sculpture | 62.81 | 89.24 | | hood | 78.49 | 93.33 | | sconce | 61.29 | 73.89 | | vase | 54.17 | 79.02 | | traffic light | 43.58 | 70.31 | | tray | 18.54 | 26.23 | | ashcan | 45.5 | 72.91 | | fan | 70.84 | 84.85 | | pier | 13.34 | 13.8 | | crt screen | 4.6 | 12.03 | | plate | 65.17 | 77.0 | | monitor | 2.36 | 2.98 | | bulletin board | 52.37 | 65.77 | | shower | 14.55 | 27.85 | | radiator | 64.2 | 89.46 | | glass | 25.88 | 29.64 | | clock | 35.08 | 43.95 | | flag | 73.0 | 83.78 | +---------------------+-------+-------+ 2023-11-22 03:28:46,133 - mmseg - INFO - Summary: 2023-11-22 03:28:46,133 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.34 | 52.86 | 66.67 | +-------+-------+-------+ 2023-11-22 03:28:46,326 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_l_640_160k_ade20k_ss/best_mIoU_iter_26000.pth was removed 2023-11-22 03:28:53,376 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_38000.pth. 2023-11-22 03:28:53,377 - mmseg - INFO - Best mIoU is 0.5286 at 38000 iter. 2023-11-22 03:28:53,377 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 03:28:53,377 - mmseg - INFO - Iter(val) [250] aAcc: 0.8434, mIoU: 0.5286, mAcc: 0.6667, IoU.wall: 0.8037, IoU.building: 0.8328, IoU.sky: 0.9492, IoU.floor: 0.8448, IoU.tree: 0.7698, IoU.ceiling: 0.8635, IoU.road: 0.8655, IoU.bed : 0.9150, IoU.windowpane: 0.6337, IoU.grass: 0.6624, IoU.cabinet: 0.6147, IoU.sidewalk: 0.6948, IoU.person: 0.8639, IoU.earth: 0.3507, IoU.door: 0.5571, IoU.table: 0.6746, IoU.mountain: 0.5562, IoU.plant: 0.5318, IoU.curtain: 0.7442, IoU.chair: 0.6416, IoU.car: 0.8693, IoU.water: 0.5913, IoU.painting: 0.7348, IoU.sofa: 0.6792, IoU.shelf: 0.4712, IoU.house: 0.2506, IoU.sea: 0.5867, IoU.mirror: 0.7262, IoU.rug: 0.6433, IoU.field: 0.2772, IoU.armchair: 0.4815, IoU.seat: 0.5861, IoU.fence: 0.4626, IoU.desk: 0.5295, IoU.rock: 0.4281, IoU.wardrobe: 0.5556, IoU.lamp: 0.7179, IoU.bathtub: 0.8017, IoU.railing: 0.4083, IoU.cushion: 0.5942, IoU.base: 0.4016, IoU.box: 0.3361, IoU.column: 0.5529, IoU.signboard: 0.4226, IoU.chest of drawers: 0.4062, IoU.counter: 0.3463, IoU.sand: 0.3960, IoU.sink: 0.7860, IoU.skyscraper: 0.3484, IoU.fireplace: 0.7256, IoU.refrigerator: 0.7370, IoU.grandstand: 0.5164, IoU.path: 0.1658, IoU.stairs: 0.2420, IoU.runway: 0.7706, IoU.case: 0.6812, IoU.pool table: 0.9514, IoU.pillow: 0.5980, IoU.screen door: 0.6938, IoU.stairway: 0.2152, IoU.river: 0.1624, IoU.bridge: 0.6858, IoU.bookcase: 0.3249, IoU.blind: 0.3000, IoU.coffee table: 0.7139, IoU.toilet: 0.9021, IoU.flower: 0.4374, IoU.book: 0.5314, IoU.hill: 0.0727, IoU.bench: 0.6646, IoU.countertop: 0.6381, IoU.stove: 0.8220, IoU.palm: 0.5619, IoU.kitchen island: 0.2633, IoU.computer: 0.7483, IoU.swivel chair: 0.5540, IoU.boat: 0.5632, IoU.bar: 0.2216, IoU.arcade machine: 0.7777, IoU.hovel: 0.4218, IoU.bus: 0.8780, IoU.towel: 0.7474, IoU.light: 0.5809, IoU.truck: 0.3856, IoU.tower: 0.2620, IoU.chandelier: 0.7220, IoU.awning: 0.3791, IoU.streetlight: 0.4372, IoU.booth: 0.3772, IoU.television receiver: 0.8213, IoU.airplane: 0.6696, IoU.dirt track: 0.1192, IoU.apparel: 0.4496, IoU.pole: 0.3165, IoU.land: 0.0054, IoU.bannister: 0.1812, IoU.escalator: 0.2699, IoU.ottoman: 0.5237, IoU.bottle: 0.3826, IoU.buffet: 0.4016, IoU.poster: 0.3294, IoU.stage: 0.1911, IoU.van: 0.4135, IoU.ship: 0.5692, IoU.fountain: 0.2043, IoU.conveyer belt: 0.6861, IoU.canopy: 0.4758, IoU.washer: 0.7083, IoU.plaything: 0.4079, IoU.swimming pool: 0.4107, IoU.stool: 0.4960, IoU.barrel: 0.8277, IoU.basket: 0.3982, IoU.waterfall: 0.6195, IoU.tent: 0.9204, IoU.bag: 0.2424, IoU.minibike: 0.6933, IoU.cradle: 0.8644, IoU.oven: 0.3333, IoU.ball: 0.6321, IoU.food: 0.6622, IoU.step: 0.2392, IoU.tank: 0.3786, IoU.trade name: 0.2602, IoU.microwave: 0.4411, IoU.pot: 0.5955, IoU.animal: 0.7702, IoU.bicycle: 0.6095, IoU.lake: 0.0000, IoU.dishwasher: 0.7967, IoU.screen: 0.5722, IoU.blanket: 0.3467, IoU.sculpture: 0.6281, IoU.hood: 0.7849, IoU.sconce: 0.6129, IoU.vase: 0.5417, IoU.traffic light: 0.4358, IoU.tray: 0.1854, IoU.ashcan: 0.4550, IoU.fan: 0.7084, IoU.pier: 0.1334, IoU.crt screen: 0.0460, IoU.plate: 0.6517, IoU.monitor: 0.0236, IoU.bulletin board: 0.5237, IoU.shower: 0.1455, IoU.radiator: 0.6420, IoU.glass: 0.2588, IoU.clock: 0.3508, IoU.flag: 0.7300, Acc.wall: 0.8828, Acc.building: 0.9341, Acc.sky: 0.9736, Acc.floor: 0.8962, Acc.tree: 0.8760, Acc.ceiling: 0.9321, Acc.road: 0.9238, Acc.bed : 0.9621, Acc.windowpane: 0.8252, Acc.grass: 0.7857, Acc.cabinet: 0.7871, Acc.sidewalk: 0.8402, Acc.person: 0.9326, Acc.earth: 0.4488, Acc.door: 0.7155, Acc.table: 0.8336, Acc.mountain: 0.7232, Acc.plant: 0.7065, Acc.curtain: 0.8557, Acc.chair: 0.7520, Acc.car: 0.9261, Acc.water: 0.8593, Acc.painting: 0.8939, Acc.sofa: 0.8230, Acc.shelf: 0.6294, Acc.house: 0.2677, Acc.sea: 0.6340, Acc.mirror: 0.8254, Acc.rug: 0.7726, Acc.field: 0.5579, Acc.armchair: 0.7527, Acc.seat: 0.7210, Acc.fence: 0.7579, Acc.desk: 0.7630, Acc.rock: 0.5538, Acc.wardrobe: 0.7777, Acc.lamp: 0.8437, Acc.bathtub: 0.8138, Acc.railing: 0.5976, Acc.cushion: 0.6392, Acc.base: 0.6182, Acc.box: 0.4886, Acc.column: 0.7154, Acc.signboard: 0.6147, Acc.chest of drawers: 0.6423, Acc.counter: 0.4001, Acc.sand: 0.5241, Acc.sink: 0.8444, Acc.skyscraper: 0.4200, Acc.fireplace: 0.9167, Acc.refrigerator: 0.9068, Acc.grandstand: 0.6770, Acc.path: 0.2660, Acc.stairs: 0.2921, Acc.runway: 0.9145, Acc.case: 0.8686, Acc.pool table: 0.9745, Acc.pillow: 0.8633, Acc.screen door: 0.8491, Acc.stairway: 0.4806, Acc.river: 0.2454, Acc.bridge: 0.8819, Acc.bookcase: 0.5337, Acc.blind: 0.3203, Acc.coffee table: 0.8373, Acc.toilet: 0.9266, Acc.flower: 0.7295, Acc.book: 0.7848, Acc.hill: 0.1456, Acc.bench: 0.7567, Acc.countertop: 0.7448, Acc.stove: 0.8588, Acc.palm: 0.8215, Acc.kitchen island: 0.3059, Acc.computer: 0.8260, Acc.swivel chair: 0.7770, Acc.boat: 0.9273, Acc.bar: 0.2601, Acc.arcade machine: 0.8212, Acc.hovel: 0.7756, Acc.bus: 0.9727, Acc.towel: 0.8975, Acc.light: 0.7600, Acc.truck: 0.5571, Acc.tower: 0.4399, Acc.chandelier: 0.8623, Acc.awning: 0.5620, Acc.streetlight: 0.6763, Acc.booth: 0.3994, Acc.television receiver: 0.9018, Acc.airplane: 0.7167, Acc.dirt track: 0.2714, Acc.apparel: 0.6464, Acc.pole: 0.4897, Acc.land: 0.0058, Acc.bannister: 0.2854, Acc.escalator: 0.2862, Acc.ottoman: 0.7494, Acc.bottle: 0.5094, Acc.buffet: 0.4342, Acc.poster: 0.4606, Acc.stage: 0.2246, Acc.van: 0.6476, Acc.ship: 0.8203, Acc.fountain: 0.2336, Acc.conveyer belt: 0.9255, Acc.canopy: 0.5986, Acc.washer: 0.7498, Acc.plaything: 0.5813, Acc.swimming pool: 0.4794, Acc.stool: 0.7587, Acc.barrel: 0.9820, Acc.basket: 0.5756, Acc.waterfall: 0.8822, Acc.tent: 0.9828, Acc.bag: 0.3560, Acc.minibike: 0.8806, Acc.cradle: 0.9782, Acc.oven: 0.8350, Acc.ball: 0.7471, Acc.food: 0.7426, Acc.step: 0.3314, Acc.tank: 0.4734, Acc.trade name: 0.3213, Acc.microwave: 0.4705, Acc.pot: 0.7624, Acc.animal: 0.8042, Acc.bicycle: 0.8219, Acc.lake: 0.0000, Acc.dishwasher: 0.8906, Acc.screen: 0.8985, Acc.blanket: 0.4536, Acc.sculpture: 0.8924, Acc.hood: 0.9333, Acc.sconce: 0.7389, Acc.vase: 0.7902, Acc.traffic light: 0.7031, Acc.tray: 0.2623, Acc.ashcan: 0.7291, Acc.fan: 0.8485, Acc.pier: 0.1380, Acc.crt screen: 0.1203, Acc.plate: 0.7700, Acc.monitor: 0.0298, Acc.bulletin board: 0.6577, Acc.shower: 0.2785, Acc.radiator: 0.8946, Acc.glass: 0.2964, Acc.clock: 0.4395, Acc.flag: 0.8378 2023-11-22 03:29:21,684 - mmseg - INFO - Iter [38050/160000] lr: 7.260e-06, eta: 19:58:21, time: 1.101, data_time: 0.548, memory: 38143, decode.loss_cls: 0.4446, decode.loss_mask: 0.6146, decode.loss_dice: 0.8980, decode.d0.loss_cls: 1.6626, decode.d0.loss_mask: 0.6537, decode.d0.loss_dice: 1.0493, decode.d1.loss_cls: 0.5551, decode.d1.loss_mask: 0.6417, decode.d1.loss_dice: 0.9688, decode.d2.loss_cls: 0.4946, decode.d2.loss_mask: 0.6240, decode.d2.loss_dice: 0.9364, decode.d3.loss_cls: 0.4764, decode.d3.loss_mask: 0.6128, decode.d3.loss_dice: 0.9099, decode.d4.loss_cls: 0.4633, decode.d4.loss_mask: 0.6161, decode.d4.loss_dice: 0.9142, decode.d5.loss_cls: 0.4609, decode.d5.loss_mask: 0.6143, decode.d5.loss_dice: 0.9131, decode.d6.loss_cls: 0.4521, decode.d6.loss_mask: 0.6145, decode.d6.loss_dice: 0.9053, decode.d7.loss_cls: 0.4460, decode.d7.loss_mask: 0.6128, decode.d7.loss_dice: 0.9080, decode.d8.loss_cls: 0.4401, decode.d8.loss_mask: 0.6133, decode.d8.loss_dice: 0.9029, loss: 21.4194, grad_norm: 70.1659 2023-11-22 03:29:50,397 - mmseg - INFO - Iter [38100/160000] lr: 7.257e-06, eta: 19:57:49, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4561, decode.loss_mask: 0.6041, decode.loss_dice: 0.9042, decode.d0.loss_cls: 1.6774, decode.d0.loss_mask: 0.6410, decode.d0.loss_dice: 1.0535, decode.d1.loss_cls: 0.5734, decode.d1.loss_mask: 0.6301, decode.d1.loss_dice: 0.9763, decode.d2.loss_cls: 0.5110, decode.d2.loss_mask: 0.6121, decode.d2.loss_dice: 0.9312, decode.d3.loss_cls: 0.4779, decode.d3.loss_mask: 0.6060, decode.d3.loss_dice: 0.9155, decode.d4.loss_cls: 0.4735, decode.d4.loss_mask: 0.6012, decode.d4.loss_dice: 0.9174, decode.d5.loss_cls: 0.4698, decode.d5.loss_mask: 0.6012, decode.d5.loss_dice: 0.9095, decode.d6.loss_cls: 0.4637, decode.d6.loss_mask: 0.5986, decode.d6.loss_dice: 0.9014, decode.d7.loss_cls: 0.4572, decode.d7.loss_mask: 0.6005, decode.d7.loss_dice: 0.9068, decode.d8.loss_cls: 0.4608, decode.d8.loss_mask: 0.6018, decode.d8.loss_dice: 0.9057, loss: 21.4392, grad_norm: 74.1108 2023-11-22 03:30:18,923 - mmseg - INFO - Iter [38150/160000] lr: 7.254e-06, eta: 19:57:17, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4724, decode.loss_mask: 0.6022, decode.loss_dice: 0.8858, decode.d0.loss_cls: 1.6715, decode.d0.loss_mask: 0.6429, decode.d0.loss_dice: 1.0423, decode.d1.loss_cls: 0.5855, decode.d1.loss_mask: 0.6326, decode.d1.loss_dice: 0.9576, decode.d2.loss_cls: 0.5183, decode.d2.loss_mask: 0.6183, decode.d2.loss_dice: 0.9161, decode.d3.loss_cls: 0.4867, decode.d3.loss_mask: 0.6102, decode.d3.loss_dice: 0.9031, decode.d4.loss_cls: 0.4838, decode.d4.loss_mask: 0.6102, decode.d4.loss_dice: 0.8989, decode.d5.loss_cls: 0.4754, decode.d5.loss_mask: 0.6085, decode.d5.loss_dice: 0.9021, decode.d6.loss_cls: 0.4710, decode.d6.loss_mask: 0.6067, decode.d6.loss_dice: 0.8932, decode.d7.loss_cls: 0.4663, decode.d7.loss_mask: 0.6031, decode.d7.loss_dice: 0.8945, decode.d8.loss_cls: 0.4747, decode.d8.loss_mask: 0.6034, decode.d8.loss_dice: 0.8858, loss: 21.4233, grad_norm: 70.8242 2023-11-22 03:30:47,160 - mmseg - INFO - Iter [38200/160000] lr: 7.251e-06, eta: 19:56:43, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4456, decode.loss_mask: 0.6237, decode.loss_dice: 0.8956, decode.d0.loss_cls: 1.6400, decode.d0.loss_mask: 0.6593, decode.d0.loss_dice: 1.0371, decode.d1.loss_cls: 0.5495, decode.d1.loss_mask: 0.6465, decode.d1.loss_dice: 0.9612, decode.d2.loss_cls: 0.4950, decode.d2.loss_mask: 0.6315, decode.d2.loss_dice: 0.9269, decode.d3.loss_cls: 0.4624, decode.d3.loss_mask: 0.6299, decode.d3.loss_dice: 0.9061, decode.d4.loss_cls: 0.4502, decode.d4.loss_mask: 0.6272, decode.d4.loss_dice: 0.9112, decode.d5.loss_cls: 0.4510, decode.d5.loss_mask: 0.6274, decode.d5.loss_dice: 0.9065, decode.d6.loss_cls: 0.4522, decode.d6.loss_mask: 0.6214, decode.d6.loss_dice: 0.8962, decode.d7.loss_cls: 0.4439, decode.d7.loss_mask: 0.6229, decode.d7.loss_dice: 0.8974, decode.d8.loss_cls: 0.4417, decode.d8.loss_mask: 0.6252, decode.d8.loss_dice: 0.9013, loss: 21.3859, grad_norm: 75.5024 2023-11-22 03:31:15,445 - mmseg - INFO - Iter [38250/160000] lr: 7.248e-06, eta: 19:56:10, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4465, decode.loss_mask: 0.6080, decode.loss_dice: 0.8984, decode.d0.loss_cls: 1.6437, decode.d0.loss_mask: 0.6482, decode.d0.loss_dice: 1.0426, decode.d1.loss_cls: 0.5447, decode.d1.loss_mask: 0.6329, decode.d1.loss_dice: 0.9651, decode.d2.loss_cls: 0.4852, decode.d2.loss_mask: 0.6227, decode.d2.loss_dice: 0.9269, decode.d3.loss_cls: 0.4661, decode.d3.loss_mask: 0.6153, decode.d3.loss_dice: 0.9028, decode.d4.loss_cls: 0.4529, decode.d4.loss_mask: 0.6147, decode.d4.loss_dice: 0.9097, decode.d5.loss_cls: 0.4426, decode.d5.loss_mask: 0.6136, decode.d5.loss_dice: 0.9042, decode.d6.loss_cls: 0.4466, decode.d6.loss_mask: 0.6101, decode.d6.loss_dice: 0.8986, decode.d7.loss_cls: 0.4416, decode.d7.loss_mask: 0.6091, decode.d7.loss_dice: 0.9015, decode.d8.loss_cls: 0.4460, decode.d8.loss_mask: 0.6092, decode.d8.loss_dice: 0.9011, loss: 21.2505, grad_norm: 74.4394 2023-11-22 03:31:43,715 - mmseg - INFO - Iter [38300/160000] lr: 7.245e-06, eta: 19:55:37, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4247, decode.loss_mask: 0.6264, decode.loss_dice: 0.8916, decode.d0.loss_cls: 1.5971, decode.d0.loss_mask: 0.6648, decode.d0.loss_dice: 1.0149, decode.d1.loss_cls: 0.5285, decode.d1.loss_mask: 0.6516, decode.d1.loss_dice: 0.9401, decode.d2.loss_cls: 0.4718, decode.d2.loss_mask: 0.6338, decode.d2.loss_dice: 0.9126, decode.d3.loss_cls: 0.4422, decode.d3.loss_mask: 0.6297, decode.d3.loss_dice: 0.9014, decode.d4.loss_cls: 0.4373, decode.d4.loss_mask: 0.6302, decode.d4.loss_dice: 0.9029, decode.d5.loss_cls: 0.4374, decode.d5.loss_mask: 0.6300, decode.d5.loss_dice: 0.8953, decode.d6.loss_cls: 0.4312, decode.d6.loss_mask: 0.6265, decode.d6.loss_dice: 0.8931, decode.d7.loss_cls: 0.4203, decode.d7.loss_mask: 0.6254, decode.d7.loss_dice: 0.8985, decode.d8.loss_cls: 0.4217, decode.d8.loss_mask: 0.6306, decode.d8.loss_dice: 0.8914, loss: 21.1031, grad_norm: 70.6508 2023-11-22 03:32:11,938 - mmseg - INFO - Iter [38350/160000] lr: 7.242e-06, eta: 19:55:03, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4459, decode.loss_mask: 0.6144, decode.loss_dice: 0.8861, decode.d0.loss_cls: 1.6471, decode.d0.loss_mask: 0.6427, decode.d0.loss_dice: 1.0206, decode.d1.loss_cls: 0.5602, decode.d1.loss_mask: 0.6345, decode.d1.loss_dice: 0.9469, decode.d2.loss_cls: 0.5057, decode.d2.loss_mask: 0.6170, decode.d2.loss_dice: 0.9032, decode.d3.loss_cls: 0.4738, decode.d3.loss_mask: 0.6178, decode.d3.loss_dice: 0.8927, decode.d4.loss_cls: 0.4611, decode.d4.loss_mask: 0.6144, decode.d4.loss_dice: 0.8932, decode.d5.loss_cls: 0.4483, decode.d5.loss_mask: 0.6163, decode.d5.loss_dice: 0.8959, decode.d6.loss_cls: 0.4457, decode.d6.loss_mask: 0.6138, decode.d6.loss_dice: 0.8883, decode.d7.loss_cls: 0.4435, decode.d7.loss_mask: 0.6181, decode.d7.loss_dice: 0.8914, decode.d8.loss_cls: 0.4438, decode.d8.loss_mask: 0.6104, decode.d8.loss_dice: 0.8922, loss: 21.1852, grad_norm: 72.9271 2023-11-22 03:32:40,545 - mmseg - INFO - Iter [38400/160000] lr: 7.239e-06, eta: 19:54:31, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4552, decode.loss_mask: 0.6287, decode.loss_dice: 0.8986, decode.d0.loss_cls: 1.6382, decode.d0.loss_mask: 0.6636, decode.d0.loss_dice: 1.0442, decode.d1.loss_cls: 0.5787, decode.d1.loss_mask: 0.6464, decode.d1.loss_dice: 0.9654, decode.d2.loss_cls: 0.5083, decode.d2.loss_mask: 0.6309, decode.d2.loss_dice: 0.9335, decode.d3.loss_cls: 0.4791, decode.d3.loss_mask: 0.6277, decode.d3.loss_dice: 0.9172, decode.d4.loss_cls: 0.4719, decode.d4.loss_mask: 0.6298, decode.d4.loss_dice: 0.9136, decode.d5.loss_cls: 0.4666, decode.d5.loss_mask: 0.6288, decode.d5.loss_dice: 0.9096, decode.d6.loss_cls: 0.4589, decode.d6.loss_mask: 0.6261, decode.d6.loss_dice: 0.8985, decode.d7.loss_cls: 0.4590, decode.d7.loss_mask: 0.6266, decode.d7.loss_dice: 0.9009, decode.d8.loss_cls: 0.4563, decode.d8.loss_mask: 0.6285, decode.d8.loss_dice: 0.9062, loss: 21.5973, grad_norm: 75.3308 2023-11-22 03:33:08,920 - mmseg - INFO - Iter [38450/160000] lr: 7.236e-06, eta: 19:53:58, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4384, decode.loss_mask: 0.6154, decode.loss_dice: 0.8622, decode.d0.loss_cls: 1.6514, decode.d0.loss_mask: 0.6530, decode.d0.loss_dice: 0.9954, decode.d1.loss_cls: 0.5367, decode.d1.loss_mask: 0.6439, decode.d1.loss_dice: 0.9224, decode.d2.loss_cls: 0.4754, decode.d2.loss_mask: 0.6259, decode.d2.loss_dice: 0.8889, decode.d3.loss_cls: 0.4510, decode.d3.loss_mask: 0.6166, decode.d3.loss_dice: 0.8716, decode.d4.loss_cls: 0.4431, decode.d4.loss_mask: 0.6172, decode.d4.loss_dice: 0.8692, decode.d5.loss_cls: 0.4441, decode.d5.loss_mask: 0.6106, decode.d5.loss_dice: 0.8679, decode.d6.loss_cls: 0.4475, decode.d6.loss_mask: 0.6136, decode.d6.loss_dice: 0.8712, decode.d7.loss_cls: 0.4372, decode.d7.loss_mask: 0.6184, decode.d7.loss_dice: 0.8696, decode.d8.loss_cls: 0.4346, decode.d8.loss_mask: 0.6177, decode.d8.loss_dice: 0.8682, loss: 20.8784, grad_norm: 71.5610 2023-11-22 03:33:37,146 - mmseg - INFO - Iter [38500/160000] lr: 7.233e-06, eta: 19:53:25, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4627, decode.loss_mask: 0.6166, decode.loss_dice: 0.9135, decode.d0.loss_cls: 1.6464, decode.d0.loss_mask: 0.6551, decode.d0.loss_dice: 1.0558, decode.d1.loss_cls: 0.5719, decode.d1.loss_mask: 0.6431, decode.d1.loss_dice: 0.9817, decode.d2.loss_cls: 0.5001, decode.d2.loss_mask: 0.6266, decode.d2.loss_dice: 0.9465, decode.d3.loss_cls: 0.4886, decode.d3.loss_mask: 0.6177, decode.d3.loss_dice: 0.9216, decode.d4.loss_cls: 0.4773, decode.d4.loss_mask: 0.6168, decode.d4.loss_dice: 0.9240, decode.d5.loss_cls: 0.4735, decode.d5.loss_mask: 0.6181, decode.d5.loss_dice: 0.9290, decode.d6.loss_cls: 0.4686, decode.d6.loss_mask: 0.6195, decode.d6.loss_dice: 0.9162, decode.d7.loss_cls: 0.4652, decode.d7.loss_mask: 0.6200, decode.d7.loss_dice: 0.9183, decode.d8.loss_cls: 0.4581, decode.d8.loss_mask: 0.6169, decode.d8.loss_dice: 0.9212, loss: 21.6906, grad_norm: 82.8921 2023-11-22 03:34:05,399 - mmseg - INFO - Iter [38550/160000] lr: 7.230e-06, eta: 19:52:51, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4619, decode.loss_mask: 0.6233, decode.loss_dice: 0.9087, decode.d0.loss_cls: 1.6748, decode.d0.loss_mask: 0.6638, decode.d0.loss_dice: 1.0443, decode.d1.loss_cls: 0.5765, decode.d1.loss_mask: 0.6518, decode.d1.loss_dice: 0.9795, decode.d2.loss_cls: 0.5207, decode.d2.loss_mask: 0.6358, decode.d2.loss_dice: 0.9472, decode.d3.loss_cls: 0.4894, decode.d3.loss_mask: 0.6272, decode.d3.loss_dice: 0.9260, decode.d4.loss_cls: 0.4809, decode.d4.loss_mask: 0.6277, decode.d4.loss_dice: 0.9264, decode.d5.loss_cls: 0.4702, decode.d5.loss_mask: 0.6229, decode.d5.loss_dice: 0.9220, decode.d6.loss_cls: 0.4774, decode.d6.loss_mask: 0.6203, decode.d6.loss_dice: 0.9058, decode.d7.loss_cls: 0.4693, decode.d7.loss_mask: 0.6189, decode.d7.loss_dice: 0.9076, decode.d8.loss_cls: 0.4688, decode.d8.loss_mask: 0.6216, decode.d8.loss_dice: 0.9061, loss: 21.7767, grad_norm: 80.5519 2023-11-22 03:34:33,561 - mmseg - INFO - Iter [38600/160000] lr: 7.227e-06, eta: 19:52:18, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4556, decode.loss_mask: 0.6193, decode.loss_dice: 0.8788, decode.d0.loss_cls: 1.6596, decode.d0.loss_mask: 0.6534, decode.d0.loss_dice: 1.0212, decode.d1.loss_cls: 0.5538, decode.d1.loss_mask: 0.6452, decode.d1.loss_dice: 0.9547, decode.d2.loss_cls: 0.4966, decode.d2.loss_mask: 0.6278, decode.d2.loss_dice: 0.9082, decode.d3.loss_cls: 0.4736, decode.d3.loss_mask: 0.6241, decode.d3.loss_dice: 0.8934, decode.d4.loss_cls: 0.4717, decode.d4.loss_mask: 0.6192, decode.d4.loss_dice: 0.8900, decode.d5.loss_cls: 0.4627, decode.d5.loss_mask: 0.6190, decode.d5.loss_dice: 0.8828, decode.d6.loss_cls: 0.4621, decode.d6.loss_mask: 0.6148, decode.d6.loss_dice: 0.8729, decode.d7.loss_cls: 0.4507, decode.d7.loss_mask: 0.6168, decode.d7.loss_dice: 0.8778, decode.d8.loss_cls: 0.4538, decode.d8.loss_mask: 0.6137, decode.d8.loss_dice: 0.8791, loss: 21.2526, grad_norm: 70.8533 2023-11-22 03:35:01,687 - mmseg - INFO - Iter [38650/160000] lr: 7.224e-06, eta: 19:51:44, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4459, decode.loss_mask: 0.6536, decode.loss_dice: 0.9162, decode.d0.loss_cls: 1.5965, decode.d0.loss_mask: 0.6968, decode.d0.loss_dice: 1.0374, decode.d1.loss_cls: 0.5513, decode.d1.loss_mask: 0.6791, decode.d1.loss_dice: 0.9736, decode.d2.loss_cls: 0.4914, decode.d2.loss_mask: 0.6667, decode.d2.loss_dice: 0.9412, decode.d3.loss_cls: 0.4740, decode.d3.loss_mask: 0.6543, decode.d3.loss_dice: 0.9154, decode.d4.loss_cls: 0.4688, decode.d4.loss_mask: 0.6497, decode.d4.loss_dice: 0.9140, decode.d5.loss_cls: 0.4612, decode.d5.loss_mask: 0.6534, decode.d5.loss_dice: 0.9157, decode.d6.loss_cls: 0.4568, decode.d6.loss_mask: 0.6537, decode.d6.loss_dice: 0.9092, decode.d7.loss_cls: 0.4563, decode.d7.loss_mask: 0.6520, decode.d7.loss_dice: 0.9077, decode.d8.loss_cls: 0.4493, decode.d8.loss_mask: 0.6536, decode.d8.loss_dice: 0.9130, loss: 21.8079, grad_norm: 75.8885 2023-11-22 03:35:30,382 - mmseg - INFO - Iter [38700/160000] lr: 7.221e-06, eta: 19:51:12, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4399, decode.loss_mask: 0.5954, decode.loss_dice: 0.8638, decode.d0.loss_cls: 1.6419, decode.d0.loss_mask: 0.6325, decode.d0.loss_dice: 1.0041, decode.d1.loss_cls: 0.5572, decode.d1.loss_mask: 0.6206, decode.d1.loss_dice: 0.9278, decode.d2.loss_cls: 0.4901, decode.d2.loss_mask: 0.6074, decode.d2.loss_dice: 0.8864, decode.d3.loss_cls: 0.4632, decode.d3.loss_mask: 0.6029, decode.d3.loss_dice: 0.8696, decode.d4.loss_cls: 0.4512, decode.d4.loss_mask: 0.6007, decode.d4.loss_dice: 0.8690, decode.d5.loss_cls: 0.4428, decode.d5.loss_mask: 0.6029, decode.d5.loss_dice: 0.8620, decode.d6.loss_cls: 0.4476, decode.d6.loss_mask: 0.5962, decode.d6.loss_dice: 0.8568, decode.d7.loss_cls: 0.4437, decode.d7.loss_mask: 0.5963, decode.d7.loss_dice: 0.8551, decode.d8.loss_cls: 0.4371, decode.d8.loss_mask: 0.5974, decode.d8.loss_dice: 0.8592, loss: 20.7206, grad_norm: 73.7751 2023-11-22 03:35:58,733 - mmseg - INFO - Iter [38750/160000] lr: 7.218e-06, eta: 19:50:39, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4510, decode.loss_mask: 0.6075, decode.loss_dice: 0.8978, decode.d0.loss_cls: 1.6516, decode.d0.loss_mask: 0.6377, decode.d0.loss_dice: 1.0438, decode.d1.loss_cls: 0.5637, decode.d1.loss_mask: 0.6305, decode.d1.loss_dice: 0.9559, decode.d2.loss_cls: 0.4921, decode.d2.loss_mask: 0.6195, decode.d2.loss_dice: 0.9312, decode.d3.loss_cls: 0.4714, decode.d3.loss_mask: 0.6087, decode.d3.loss_dice: 0.9032, decode.d4.loss_cls: 0.4613, decode.d4.loss_mask: 0.6092, decode.d4.loss_dice: 0.9097, decode.d5.loss_cls: 0.4597, decode.d5.loss_mask: 0.6076, decode.d5.loss_dice: 0.9082, decode.d6.loss_cls: 0.4534, decode.d6.loss_mask: 0.6061, decode.d6.loss_dice: 0.8993, decode.d7.loss_cls: 0.4536, decode.d7.loss_mask: 0.6059, decode.d7.loss_dice: 0.8957, decode.d8.loss_cls: 0.4511, decode.d8.loss_mask: 0.6087, decode.d8.loss_dice: 0.9019, loss: 21.2968, grad_norm: 70.0563 2023-11-22 03:36:26,981 - mmseg - INFO - Iter [38800/160000] lr: 7.215e-06, eta: 19:50:06, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4548, decode.loss_mask: 0.6070, decode.loss_dice: 0.8832, decode.d0.loss_cls: 1.6670, decode.d0.loss_mask: 0.6571, decode.d0.loss_dice: 1.0229, decode.d1.loss_cls: 0.5559, decode.d1.loss_mask: 0.6383, decode.d1.loss_dice: 0.9537, decode.d2.loss_cls: 0.4884, decode.d2.loss_mask: 0.6264, decode.d2.loss_dice: 0.9169, decode.d3.loss_cls: 0.4654, decode.d3.loss_mask: 0.6123, decode.d3.loss_dice: 0.8924, decode.d4.loss_cls: 0.4562, decode.d4.loss_mask: 0.6126, decode.d4.loss_dice: 0.8845, decode.d5.loss_cls: 0.4505, decode.d5.loss_mask: 0.6137, decode.d5.loss_dice: 0.8883, decode.d6.loss_cls: 0.4504, decode.d6.loss_mask: 0.6135, decode.d6.loss_dice: 0.8834, decode.d7.loss_cls: 0.4462, decode.d7.loss_mask: 0.6154, decode.d7.loss_dice: 0.8855, decode.d8.loss_cls: 0.4496, decode.d8.loss_mask: 0.6128, decode.d8.loss_dice: 0.8813, loss: 21.1855, grad_norm: 67.5062 2023-11-22 03:36:55,219 - mmseg - INFO - Iter [38850/160000] lr: 7.212e-06, eta: 19:49:33, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4684, decode.loss_mask: 0.6269, decode.loss_dice: 0.8992, decode.d0.loss_cls: 1.5972, decode.d0.loss_mask: 0.6702, decode.d0.loss_dice: 1.0399, decode.d1.loss_cls: 0.5756, decode.d1.loss_mask: 0.6587, decode.d1.loss_dice: 0.9602, decode.d2.loss_cls: 0.5116, decode.d2.loss_mask: 0.6389, decode.d2.loss_dice: 0.9351, decode.d3.loss_cls: 0.4963, decode.d3.loss_mask: 0.6318, decode.d3.loss_dice: 0.9065, decode.d4.loss_cls: 0.4818, decode.d4.loss_mask: 0.6326, decode.d4.loss_dice: 0.9105, decode.d5.loss_cls: 0.4813, decode.d5.loss_mask: 0.6284, decode.d5.loss_dice: 0.9112, decode.d6.loss_cls: 0.4714, decode.d6.loss_mask: 0.6326, decode.d6.loss_dice: 0.9019, decode.d7.loss_cls: 0.4718, decode.d7.loss_mask: 0.6287, decode.d7.loss_dice: 0.8977, decode.d8.loss_cls: 0.4713, decode.d8.loss_mask: 0.6275, decode.d8.loss_dice: 0.9045, loss: 21.6695, grad_norm: 77.0179 2023-11-22 03:37:23,434 - mmseg - INFO - Iter [38900/160000] lr: 7.209e-06, eta: 19:49:00, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4602, decode.loss_mask: 0.5975, decode.loss_dice: 0.8871, decode.d0.loss_cls: 1.6525, decode.d0.loss_mask: 0.6339, decode.d0.loss_dice: 1.0168, decode.d1.loss_cls: 0.5683, decode.d1.loss_mask: 0.6191, decode.d1.loss_dice: 0.9451, decode.d2.loss_cls: 0.4938, decode.d2.loss_mask: 0.6104, decode.d2.loss_dice: 0.9222, decode.d3.loss_cls: 0.4748, decode.d3.loss_mask: 0.6008, decode.d3.loss_dice: 0.8931, decode.d4.loss_cls: 0.4602, decode.d4.loss_mask: 0.5950, decode.d4.loss_dice: 0.8962, decode.d5.loss_cls: 0.4628, decode.d5.loss_mask: 0.5975, decode.d5.loss_dice: 0.8951, decode.d6.loss_cls: 0.4573, decode.d6.loss_mask: 0.5976, decode.d6.loss_dice: 0.8853, decode.d7.loss_cls: 0.4533, decode.d7.loss_mask: 0.5991, decode.d7.loss_dice: 0.8911, decode.d8.loss_cls: 0.4519, decode.d8.loss_mask: 0.6013, decode.d8.loss_dice: 0.8895, loss: 21.1091, grad_norm: 72.8513 2023-11-22 03:37:51,795 - mmseg - INFO - Iter [38950/160000] lr: 7.206e-06, eta: 19:48:27, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4302, decode.loss_mask: 0.6169, decode.loss_dice: 0.8993, decode.d0.loss_cls: 1.6102, decode.d0.loss_mask: 0.6487, decode.d0.loss_dice: 1.0323, decode.d1.loss_cls: 0.5318, decode.d1.loss_mask: 0.6428, decode.d1.loss_dice: 0.9609, decode.d2.loss_cls: 0.4793, decode.d2.loss_mask: 0.6225, decode.d2.loss_dice: 0.9235, decode.d3.loss_cls: 0.4503, decode.d3.loss_mask: 0.6200, decode.d3.loss_dice: 0.9072, decode.d4.loss_cls: 0.4462, decode.d4.loss_mask: 0.6164, decode.d4.loss_dice: 0.9061, decode.d5.loss_cls: 0.4417, decode.d5.loss_mask: 0.6148, decode.d5.loss_dice: 0.9053, decode.d6.loss_cls: 0.4250, decode.d6.loss_mask: 0.6191, decode.d6.loss_dice: 0.9064, decode.d7.loss_cls: 0.4257, decode.d7.loss_mask: 0.6139, decode.d7.loss_dice: 0.9032, decode.d8.loss_cls: 0.4271, decode.d8.loss_mask: 0.6147, decode.d8.loss_dice: 0.8987, loss: 21.1400, grad_norm: 69.1596 2023-11-22 03:38:20,401 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 03:38:20,401 - mmseg - INFO - Iter [39000/160000] lr: 7.203e-06, eta: 19:47:55, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4478, decode.loss_mask: 0.6067, decode.loss_dice: 0.8745, decode.d0.loss_cls: 1.6129, decode.d0.loss_mask: 0.6513, decode.d0.loss_dice: 1.0093, decode.d1.loss_cls: 0.5553, decode.d1.loss_mask: 0.6301, decode.d1.loss_dice: 0.9334, decode.d2.loss_cls: 0.4876, decode.d2.loss_mask: 0.6164, decode.d2.loss_dice: 0.9011, decode.d3.loss_cls: 0.4677, decode.d3.loss_mask: 0.6089, decode.d3.loss_dice: 0.8772, decode.d4.loss_cls: 0.4556, decode.d4.loss_mask: 0.6111, decode.d4.loss_dice: 0.8818, decode.d5.loss_cls: 0.4541, decode.d5.loss_mask: 0.6080, decode.d5.loss_dice: 0.8740, decode.d6.loss_cls: 0.4499, decode.d6.loss_mask: 0.6052, decode.d6.loss_dice: 0.8696, decode.d7.loss_cls: 0.4487, decode.d7.loss_mask: 0.6070, decode.d7.loss_dice: 0.8698, decode.d8.loss_cls: 0.4438, decode.d8.loss_mask: 0.6057, decode.d8.loss_dice: 0.8793, loss: 20.9439, grad_norm: 73.0542 2023-11-22 03:38:48,703 - mmseg - INFO - Iter [39050/160000] lr: 7.200e-06, eta: 19:47:22, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4374, decode.loss_mask: 0.6205, decode.loss_dice: 0.8724, decode.d0.loss_cls: 1.6231, decode.d0.loss_mask: 0.6693, decode.d0.loss_dice: 1.0114, decode.d1.loss_cls: 0.5516, decode.d1.loss_mask: 0.6460, decode.d1.loss_dice: 0.9370, decode.d2.loss_cls: 0.4848, decode.d2.loss_mask: 0.6295, decode.d2.loss_dice: 0.9025, decode.d3.loss_cls: 0.4583, decode.d3.loss_mask: 0.6305, decode.d3.loss_dice: 0.8845, decode.d4.loss_cls: 0.4547, decode.d4.loss_mask: 0.6224, decode.d4.loss_dice: 0.8826, decode.d5.loss_cls: 0.4511, decode.d5.loss_mask: 0.6179, decode.d5.loss_dice: 0.8839, decode.d6.loss_cls: 0.4433, decode.d6.loss_mask: 0.6173, decode.d6.loss_dice: 0.8716, decode.d7.loss_cls: 0.4427, decode.d7.loss_mask: 0.6175, decode.d7.loss_dice: 0.8717, decode.d8.loss_cls: 0.4343, decode.d8.loss_mask: 0.6199, decode.d8.loss_dice: 0.8736, loss: 21.0634, grad_norm: 75.2915 2023-11-22 03:39:16,840 - mmseg - INFO - Iter [39100/160000] lr: 7.197e-06, eta: 19:46:48, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4639, decode.loss_mask: 0.6047, decode.loss_dice: 0.8854, decode.d0.loss_cls: 1.5991, decode.d0.loss_mask: 0.6464, decode.d0.loss_dice: 1.0352, decode.d1.loss_cls: 0.5443, decode.d1.loss_mask: 0.6356, decode.d1.loss_dice: 0.9550, decode.d2.loss_cls: 0.4789, decode.d2.loss_mask: 0.6203, decode.d2.loss_dice: 0.9266, decode.d3.loss_cls: 0.4617, decode.d3.loss_mask: 0.6120, decode.d3.loss_dice: 0.8962, decode.d4.loss_cls: 0.4589, decode.d4.loss_mask: 0.6098, decode.d4.loss_dice: 0.8949, decode.d5.loss_cls: 0.4495, decode.d5.loss_mask: 0.6115, decode.d5.loss_dice: 0.8954, decode.d6.loss_cls: 0.4580, decode.d6.loss_mask: 0.6104, decode.d6.loss_dice: 0.8927, decode.d7.loss_cls: 0.4520, decode.d7.loss_mask: 0.6072, decode.d7.loss_dice: 0.8948, decode.d8.loss_cls: 0.4555, decode.d8.loss_mask: 0.6060, decode.d8.loss_dice: 0.8865, loss: 21.1481, grad_norm: 73.5164 2023-11-22 03:39:45,177 - mmseg - INFO - Iter [39150/160000] lr: 7.194e-06, eta: 19:46:15, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4674, decode.loss_mask: 0.6073, decode.loss_dice: 0.8952, decode.d0.loss_cls: 1.6444, decode.d0.loss_mask: 0.6426, decode.d0.loss_dice: 1.0378, decode.d1.loss_cls: 0.5762, decode.d1.loss_mask: 0.6281, decode.d1.loss_dice: 0.9712, decode.d2.loss_cls: 0.5005, decode.d2.loss_mask: 0.6175, decode.d2.loss_dice: 0.9334, decode.d3.loss_cls: 0.4846, decode.d3.loss_mask: 0.6126, decode.d3.loss_dice: 0.9091, decode.d4.loss_cls: 0.4793, decode.d4.loss_mask: 0.6117, decode.d4.loss_dice: 0.9103, decode.d5.loss_cls: 0.4806, decode.d5.loss_mask: 0.6106, decode.d5.loss_dice: 0.9063, decode.d6.loss_cls: 0.4722, decode.d6.loss_mask: 0.6094, decode.d6.loss_dice: 0.8982, decode.d7.loss_cls: 0.4705, decode.d7.loss_mask: 0.6078, decode.d7.loss_dice: 0.8979, decode.d8.loss_cls: 0.4681, decode.d8.loss_mask: 0.6098, decode.d8.loss_dice: 0.8991, loss: 21.4596, grad_norm: 71.4893 2023-11-22 03:40:15,971 - mmseg - INFO - Iter [39200/160000] lr: 7.191e-06, eta: 19:45:50, time: 0.616, data_time: 0.060, memory: 38143, decode.loss_cls: 0.4480, decode.loss_mask: 0.5940, decode.loss_dice: 0.8836, decode.d0.loss_cls: 1.6592, decode.d0.loss_mask: 0.6293, decode.d0.loss_dice: 1.0265, decode.d1.loss_cls: 0.5605, decode.d1.loss_mask: 0.6217, decode.d1.loss_dice: 0.9578, decode.d2.loss_cls: 0.4963, decode.d2.loss_mask: 0.6029, decode.d2.loss_dice: 0.9199, decode.d3.loss_cls: 0.4722, decode.d3.loss_mask: 0.5964, decode.d3.loss_dice: 0.8992, decode.d4.loss_cls: 0.4587, decode.d4.loss_mask: 0.5995, decode.d4.loss_dice: 0.9002, decode.d5.loss_cls: 0.4565, decode.d5.loss_mask: 0.6000, decode.d5.loss_dice: 0.8989, decode.d6.loss_cls: 0.4540, decode.d6.loss_mask: 0.5935, decode.d6.loss_dice: 0.8841, decode.d7.loss_cls: 0.4481, decode.d7.loss_mask: 0.5954, decode.d7.loss_dice: 0.8848, decode.d8.loss_cls: 0.4480, decode.d8.loss_mask: 0.5948, decode.d8.loss_dice: 0.8895, loss: 21.0734, grad_norm: 71.8600 2023-11-22 03:40:44,525 - mmseg - INFO - Iter [39250/160000] lr: 7.188e-06, eta: 19:45:18, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4316, decode.loss_mask: 0.6091, decode.loss_dice: 0.8947, decode.d0.loss_cls: 1.6180, decode.d0.loss_mask: 0.6463, decode.d0.loss_dice: 1.0374, decode.d1.loss_cls: 0.5458, decode.d1.loss_mask: 0.6371, decode.d1.loss_dice: 0.9645, decode.d2.loss_cls: 0.4765, decode.d2.loss_mask: 0.6220, decode.d2.loss_dice: 0.9268, decode.d3.loss_cls: 0.4540, decode.d3.loss_mask: 0.6167, decode.d3.loss_dice: 0.9037, decode.d4.loss_cls: 0.4414, decode.d4.loss_mask: 0.6143, decode.d4.loss_dice: 0.9050, decode.d5.loss_cls: 0.4341, decode.d5.loss_mask: 0.6129, decode.d5.loss_dice: 0.9065, decode.d6.loss_cls: 0.4330, decode.d6.loss_mask: 0.6106, decode.d6.loss_dice: 0.8965, decode.d7.loss_cls: 0.4375, decode.d7.loss_mask: 0.6105, decode.d7.loss_dice: 0.9007, decode.d8.loss_cls: 0.4315, decode.d8.loss_mask: 0.6149, decode.d8.loss_dice: 0.8995, loss: 21.1331, grad_norm: 70.7912 2023-11-22 03:41:13,056 - mmseg - INFO - Iter [39300/160000] lr: 7.185e-06, eta: 19:44:45, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4099, decode.loss_mask: 0.5897, decode.loss_dice: 0.8503, decode.d0.loss_cls: 1.6166, decode.d0.loss_mask: 0.6089, decode.d0.loss_dice: 0.9722, decode.d1.loss_cls: 0.5220, decode.d1.loss_mask: 0.6096, decode.d1.loss_dice: 0.9001, decode.d2.loss_cls: 0.4640, decode.d2.loss_mask: 0.5954, decode.d2.loss_dice: 0.8727, decode.d3.loss_cls: 0.4387, decode.d3.loss_mask: 0.5923, decode.d3.loss_dice: 0.8502, decode.d4.loss_cls: 0.4288, decode.d4.loss_mask: 0.5899, decode.d4.loss_dice: 0.8569, decode.d5.loss_cls: 0.4268, decode.d5.loss_mask: 0.5889, decode.d5.loss_dice: 0.8575, decode.d6.loss_cls: 0.4206, decode.d6.loss_mask: 0.5909, decode.d6.loss_dice: 0.8471, decode.d7.loss_cls: 0.4179, decode.d7.loss_mask: 0.5901, decode.d7.loss_dice: 0.8508, decode.d8.loss_cls: 0.4199, decode.d8.loss_mask: 0.5869, decode.d8.loss_dice: 0.8455, loss: 20.2110, grad_norm: 67.8509 2023-11-22 03:41:41,179 - mmseg - INFO - Iter [39350/160000] lr: 7.182e-06, eta: 19:44:12, time: 0.562, data_time: 0.012, memory: 38143, decode.loss_cls: 0.4644, decode.loss_mask: 0.6265, decode.loss_dice: 0.8816, decode.d0.loss_cls: 1.6823, decode.d0.loss_mask: 0.6664, decode.d0.loss_dice: 1.0300, decode.d1.loss_cls: 0.5782, decode.d1.loss_mask: 0.6499, decode.d1.loss_dice: 0.9487, decode.d2.loss_cls: 0.5058, decode.d2.loss_mask: 0.6410, decode.d2.loss_dice: 0.9104, decode.d3.loss_cls: 0.4856, decode.d3.loss_mask: 0.6306, decode.d3.loss_dice: 0.8914, decode.d4.loss_cls: 0.4783, decode.d4.loss_mask: 0.6285, decode.d4.loss_dice: 0.8919, decode.d5.loss_cls: 0.4720, decode.d5.loss_mask: 0.6262, decode.d5.loss_dice: 0.8866, decode.d6.loss_cls: 0.4719, decode.d6.loss_mask: 0.6251, decode.d6.loss_dice: 0.8841, decode.d7.loss_cls: 0.4688, decode.d7.loss_mask: 0.6253, decode.d7.loss_dice: 0.8846, decode.d8.loss_cls: 0.4654, decode.d8.loss_mask: 0.6261, decode.d8.loss_dice: 0.8822, loss: 21.5098, grad_norm: 73.5319 2023-11-22 03:42:09,520 - mmseg - INFO - Iter [39400/160000] lr: 7.179e-06, eta: 19:43:39, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4673, decode.loss_mask: 0.6288, decode.loss_dice: 0.9107, decode.d0.loss_cls: 1.6442, decode.d0.loss_mask: 0.6568, decode.d0.loss_dice: 1.0546, decode.d1.loss_cls: 0.5713, decode.d1.loss_mask: 0.6468, decode.d1.loss_dice: 0.9779, decode.d2.loss_cls: 0.5084, decode.d2.loss_mask: 0.6317, decode.d2.loss_dice: 0.9413, decode.d3.loss_cls: 0.4900, decode.d3.loss_mask: 0.6270, decode.d3.loss_dice: 0.9219, decode.d4.loss_cls: 0.4782, decode.d4.loss_mask: 0.6233, decode.d4.loss_dice: 0.9225, decode.d5.loss_cls: 0.4744, decode.d5.loss_mask: 0.6270, decode.d5.loss_dice: 0.9219, decode.d6.loss_cls: 0.4769, decode.d6.loss_mask: 0.6256, decode.d6.loss_dice: 0.9116, decode.d7.loss_cls: 0.4708, decode.d7.loss_mask: 0.6274, decode.d7.loss_dice: 0.9151, decode.d8.loss_cls: 0.4737, decode.d8.loss_mask: 0.6292, decode.d8.loss_dice: 0.9080, loss: 21.7644, grad_norm: 74.5658 2023-11-22 03:42:37,708 - mmseg - INFO - Iter [39450/160000] lr: 7.176e-06, eta: 19:43:06, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4467, decode.loss_mask: 0.6092, decode.loss_dice: 0.9023, decode.d0.loss_cls: 1.6450, decode.d0.loss_mask: 0.6617, decode.d0.loss_dice: 1.0424, decode.d1.loss_cls: 0.5591, decode.d1.loss_mask: 0.6449, decode.d1.loss_dice: 0.9693, decode.d2.loss_cls: 0.4812, decode.d2.loss_mask: 0.6264, decode.d2.loss_dice: 0.9347, decode.d3.loss_cls: 0.4594, decode.d3.loss_mask: 0.6164, decode.d3.loss_dice: 0.9093, decode.d4.loss_cls: 0.4601, decode.d4.loss_mask: 0.6158, decode.d4.loss_dice: 0.9038, decode.d5.loss_cls: 0.4554, decode.d5.loss_mask: 0.6107, decode.d5.loss_dice: 0.9006, decode.d6.loss_cls: 0.4547, decode.d6.loss_mask: 0.6083, decode.d6.loss_dice: 0.8951, decode.d7.loss_cls: 0.4465, decode.d7.loss_mask: 0.6117, decode.d7.loss_dice: 0.9002, decode.d8.loss_cls: 0.4464, decode.d8.loss_mask: 0.6111, decode.d8.loss_dice: 0.9039, loss: 21.3321, grad_norm: 74.8105 2023-11-22 03:43:06,167 - mmseg - INFO - Iter [39500/160000] lr: 7.173e-06, eta: 19:42:33, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4101, decode.loss_mask: 0.6094, decode.loss_dice: 0.8676, decode.d0.loss_cls: 1.5951, decode.d0.loss_mask: 0.6471, decode.d0.loss_dice: 0.9948, decode.d1.loss_cls: 0.5029, decode.d1.loss_mask: 0.6368, decode.d1.loss_dice: 0.9257, decode.d2.loss_cls: 0.4549, decode.d2.loss_mask: 0.6175, decode.d2.loss_dice: 0.8957, decode.d3.loss_cls: 0.4356, decode.d3.loss_mask: 0.6087, decode.d3.loss_dice: 0.8702, decode.d4.loss_cls: 0.4293, decode.d4.loss_mask: 0.6107, decode.d4.loss_dice: 0.8739, decode.d5.loss_cls: 0.4198, decode.d5.loss_mask: 0.6125, decode.d5.loss_dice: 0.8755, decode.d6.loss_cls: 0.4160, decode.d6.loss_mask: 0.6121, decode.d6.loss_dice: 0.8713, decode.d7.loss_cls: 0.4118, decode.d7.loss_mask: 0.6106, decode.d7.loss_dice: 0.8658, decode.d8.loss_cls: 0.4139, decode.d8.loss_mask: 0.6118, decode.d8.loss_dice: 0.8637, loss: 20.5709, grad_norm: 76.4994 2023-11-22 03:43:34,670 - mmseg - INFO - Iter [39550/160000] lr: 7.170e-06, eta: 19:42:01, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4125, decode.loss_mask: 0.5850, decode.loss_dice: 0.8495, decode.d0.loss_cls: 1.5681, decode.d0.loss_mask: 0.6221, decode.d0.loss_dice: 0.9902, decode.d1.loss_cls: 0.5248, decode.d1.loss_mask: 0.6108, decode.d1.loss_dice: 0.9180, decode.d2.loss_cls: 0.4636, decode.d2.loss_mask: 0.5923, decode.d2.loss_dice: 0.8798, decode.d3.loss_cls: 0.4406, decode.d3.loss_mask: 0.5865, decode.d3.loss_dice: 0.8596, decode.d4.loss_cls: 0.4203, decode.d4.loss_mask: 0.5876, decode.d4.loss_dice: 0.8572, decode.d5.loss_cls: 0.4199, decode.d5.loss_mask: 0.5835, decode.d5.loss_dice: 0.8573, decode.d6.loss_cls: 0.4211, decode.d6.loss_mask: 0.5820, decode.d6.loss_dice: 0.8471, decode.d7.loss_cls: 0.4179, decode.d7.loss_mask: 0.5815, decode.d7.loss_dice: 0.8494, decode.d8.loss_cls: 0.4109, decode.d8.loss_mask: 0.5848, decode.d8.loss_dice: 0.8556, loss: 20.1796, grad_norm: 72.0443 2023-11-22 03:44:03,116 - mmseg - INFO - Iter [39600/160000] lr: 7.168e-06, eta: 19:41:29, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4180, decode.loss_mask: 0.5869, decode.loss_dice: 0.8705, decode.d0.loss_cls: 1.6054, decode.d0.loss_mask: 0.6326, decode.d0.loss_dice: 1.0226, decode.d1.loss_cls: 0.5242, decode.d1.loss_mask: 0.6139, decode.d1.loss_dice: 0.9470, decode.d2.loss_cls: 0.4607, decode.d2.loss_mask: 0.5992, decode.d2.loss_dice: 0.9141, decode.d3.loss_cls: 0.4445, decode.d3.loss_mask: 0.5891, decode.d3.loss_dice: 0.8795, decode.d4.loss_cls: 0.4287, decode.d4.loss_mask: 0.5905, decode.d4.loss_dice: 0.8842, decode.d5.loss_cls: 0.4320, decode.d5.loss_mask: 0.5906, decode.d5.loss_dice: 0.8818, decode.d6.loss_cls: 0.4269, decode.d6.loss_mask: 0.5883, decode.d6.loss_dice: 0.8740, decode.d7.loss_cls: 0.4218, decode.d7.loss_mask: 0.5882, decode.d7.loss_dice: 0.8749, decode.d8.loss_cls: 0.4197, decode.d8.loss_mask: 0.5862, decode.d8.loss_dice: 0.8750, loss: 20.5713, grad_norm: 70.8341 2023-11-22 03:44:31,327 - mmseg - INFO - Iter [39650/160000] lr: 7.165e-06, eta: 19:40:55, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4394, decode.loss_mask: 0.6260, decode.loss_dice: 0.9001, decode.d0.loss_cls: 1.5971, decode.d0.loss_mask: 0.6684, decode.d0.loss_dice: 1.0206, decode.d1.loss_cls: 0.5421, decode.d1.loss_mask: 0.6532, decode.d1.loss_dice: 0.9679, decode.d2.loss_cls: 0.4861, decode.d2.loss_mask: 0.6368, decode.d2.loss_dice: 0.9369, decode.d3.loss_cls: 0.4649, decode.d3.loss_mask: 0.6295, decode.d3.loss_dice: 0.9097, decode.d4.loss_cls: 0.4494, decode.d4.loss_mask: 0.6302, decode.d4.loss_dice: 0.9114, decode.d5.loss_cls: 0.4479, decode.d5.loss_mask: 0.6279, decode.d5.loss_dice: 0.9095, decode.d6.loss_cls: 0.4459, decode.d6.loss_mask: 0.6263, decode.d6.loss_dice: 0.9013, decode.d7.loss_cls: 0.4443, decode.d7.loss_mask: 0.6265, decode.d7.loss_dice: 0.8970, decode.d8.loss_cls: 0.4403, decode.d8.loss_mask: 0.6221, decode.d8.loss_dice: 0.8999, loss: 21.3585, grad_norm: 76.7308 2023-11-22 03:44:59,658 - mmseg - INFO - Iter [39700/160000] lr: 7.162e-06, eta: 19:40:23, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4191, decode.loss_mask: 0.6071, decode.loss_dice: 0.8815, decode.d0.loss_cls: 1.6114, decode.d0.loss_mask: 0.6499, decode.d0.loss_dice: 1.0213, decode.d1.loss_cls: 0.5332, decode.d1.loss_mask: 0.6367, decode.d1.loss_dice: 0.9393, decode.d2.loss_cls: 0.4710, decode.d2.loss_mask: 0.6189, decode.d2.loss_dice: 0.9091, decode.d3.loss_cls: 0.4481, decode.d3.loss_mask: 0.6132, decode.d3.loss_dice: 0.8871, decode.d4.loss_cls: 0.4386, decode.d4.loss_mask: 0.6096, decode.d4.loss_dice: 0.8890, decode.d5.loss_cls: 0.4340, decode.d5.loss_mask: 0.6118, decode.d5.loss_dice: 0.8859, decode.d6.loss_cls: 0.4285, decode.d6.loss_mask: 0.6081, decode.d6.loss_dice: 0.8778, decode.d7.loss_cls: 0.4247, decode.d7.loss_mask: 0.6062, decode.d7.loss_dice: 0.8817, decode.d8.loss_cls: 0.4171, decode.d8.loss_mask: 0.6089, decode.d8.loss_dice: 0.8836, loss: 20.8522, grad_norm: 74.3748 2023-11-22 03:45:27,875 - mmseg - INFO - Iter [39750/160000] lr: 7.159e-06, eta: 19:39:49, time: 0.564, data_time: 0.015, memory: 38143, decode.loss_cls: 0.4596, decode.loss_mask: 0.6049, decode.loss_dice: 0.8746, decode.d0.loss_cls: 1.6270, decode.d0.loss_mask: 0.6389, decode.d0.loss_dice: 1.0070, decode.d1.loss_cls: 0.5590, decode.d1.loss_mask: 0.6264, decode.d1.loss_dice: 0.9345, decode.d2.loss_cls: 0.5008, decode.d2.loss_mask: 0.6113, decode.d2.loss_dice: 0.9067, decode.d3.loss_cls: 0.4684, decode.d3.loss_mask: 0.6067, decode.d3.loss_dice: 0.8817, decode.d4.loss_cls: 0.4655, decode.d4.loss_mask: 0.6057, decode.d4.loss_dice: 0.8841, decode.d5.loss_cls: 0.4677, decode.d5.loss_mask: 0.6016, decode.d5.loss_dice: 0.8813, decode.d6.loss_cls: 0.4620, decode.d6.loss_mask: 0.5998, decode.d6.loss_dice: 0.8708, decode.d7.loss_cls: 0.4618, decode.d7.loss_mask: 0.5999, decode.d7.loss_dice: 0.8752, decode.d8.loss_cls: 0.4598, decode.d8.loss_mask: 0.6013, decode.d8.loss_dice: 0.8751, loss: 21.0190, grad_norm: 74.3291 2023-11-22 03:45:56,199 - mmseg - INFO - Iter [39800/160000] lr: 7.156e-06, eta: 19:39:17, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4804, decode.loss_mask: 0.5971, decode.loss_dice: 0.9044, decode.d0.loss_cls: 1.6915, decode.d0.loss_mask: 0.6429, decode.d0.loss_dice: 1.0541, decode.d1.loss_cls: 0.5912, decode.d1.loss_mask: 0.6265, decode.d1.loss_dice: 0.9720, decode.d2.loss_cls: 0.5257, decode.d2.loss_mask: 0.6108, decode.d2.loss_dice: 0.9381, decode.d3.loss_cls: 0.4975, decode.d3.loss_mask: 0.6042, decode.d3.loss_dice: 0.9191, decode.d4.loss_cls: 0.4877, decode.d4.loss_mask: 0.6049, decode.d4.loss_dice: 0.9179, decode.d5.loss_cls: 0.4863, decode.d5.loss_mask: 0.6028, decode.d5.loss_dice: 0.9128, decode.d6.loss_cls: 0.4841, decode.d6.loss_mask: 0.5995, decode.d6.loss_dice: 0.9019, decode.d7.loss_cls: 0.4785, decode.d7.loss_mask: 0.5978, decode.d7.loss_dice: 0.9079, decode.d8.loss_cls: 0.4823, decode.d8.loss_mask: 0.5976, decode.d8.loss_dice: 0.9035, loss: 21.6211, grad_norm: 72.6635 2023-11-22 03:46:24,886 - mmseg - INFO - Iter [39850/160000] lr: 7.153e-06, eta: 19:38:45, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4422, decode.loss_mask: 0.6006, decode.loss_dice: 0.8966, decode.d0.loss_cls: 1.6281, decode.d0.loss_mask: 0.6350, decode.d0.loss_dice: 1.0295, decode.d1.loss_cls: 0.5486, decode.d1.loss_mask: 0.6308, decode.d1.loss_dice: 0.9564, decode.d2.loss_cls: 0.4879, decode.d2.loss_mask: 0.6153, decode.d2.loss_dice: 0.9253, decode.d3.loss_cls: 0.4640, decode.d3.loss_mask: 0.6008, decode.d3.loss_dice: 0.8998, decode.d4.loss_cls: 0.4626, decode.d4.loss_mask: 0.5988, decode.d4.loss_dice: 0.8954, decode.d5.loss_cls: 0.4539, decode.d5.loss_mask: 0.6001, decode.d5.loss_dice: 0.9004, decode.d6.loss_cls: 0.4463, decode.d6.loss_mask: 0.5993, decode.d6.loss_dice: 0.8946, decode.d7.loss_cls: 0.4468, decode.d7.loss_mask: 0.5996, decode.d7.loss_dice: 0.8950, decode.d8.loss_cls: 0.4418, decode.d8.loss_mask: 0.6002, decode.d8.loss_dice: 0.8987, loss: 21.0945, grad_norm: 67.4398 2023-11-22 03:46:53,174 - mmseg - INFO - Iter [39900/160000] lr: 7.150e-06, eta: 19:38:12, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4349, decode.loss_mask: 0.6150, decode.loss_dice: 0.8896, decode.d0.loss_cls: 1.6035, decode.d0.loss_mask: 0.6548, decode.d0.loss_dice: 1.0126, decode.d1.loss_cls: 0.5327, decode.d1.loss_mask: 0.6417, decode.d1.loss_dice: 0.9478, decode.d2.loss_cls: 0.4764, decode.d2.loss_mask: 0.6242, decode.d2.loss_dice: 0.9207, decode.d3.loss_cls: 0.4445, decode.d3.loss_mask: 0.6197, decode.d3.loss_dice: 0.8977, decode.d4.loss_cls: 0.4312, decode.d4.loss_mask: 0.6192, decode.d4.loss_dice: 0.9018, decode.d5.loss_cls: 0.4375, decode.d5.loss_mask: 0.6167, decode.d5.loss_dice: 0.8954, decode.d6.loss_cls: 0.4379, decode.d6.loss_mask: 0.6149, decode.d6.loss_dice: 0.8868, decode.d7.loss_cls: 0.4273, decode.d7.loss_mask: 0.6181, decode.d7.loss_dice: 0.8906, decode.d8.loss_cls: 0.4279, decode.d8.loss_mask: 0.6160, decode.d8.loss_dice: 0.8894, loss: 21.0265, grad_norm: 70.1180 2023-11-22 03:47:21,285 - mmseg - INFO - Iter [39950/160000] lr: 7.147e-06, eta: 19:37:39, time: 0.562, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4434, decode.loss_mask: 0.6167, decode.loss_dice: 0.8796, decode.d0.loss_cls: 1.5976, decode.d0.loss_mask: 0.6548, decode.d0.loss_dice: 1.0055, decode.d1.loss_cls: 0.5410, decode.d1.loss_mask: 0.6377, decode.d1.loss_dice: 0.9439, decode.d2.loss_cls: 0.4821, decode.d2.loss_mask: 0.6265, decode.d2.loss_dice: 0.9159, decode.d3.loss_cls: 0.4562, decode.d3.loss_mask: 0.6221, decode.d3.loss_dice: 0.8887, decode.d4.loss_cls: 0.4492, decode.d4.loss_mask: 0.6195, decode.d4.loss_dice: 0.8887, decode.d5.loss_cls: 0.4512, decode.d5.loss_mask: 0.6135, decode.d5.loss_dice: 0.8865, decode.d6.loss_cls: 0.4443, decode.d6.loss_mask: 0.6174, decode.d6.loss_dice: 0.8833, decode.d7.loss_cls: 0.4415, decode.d7.loss_mask: 0.6167, decode.d7.loss_dice: 0.8816, decode.d8.loss_cls: 0.4403, decode.d8.loss_mask: 0.6153, decode.d8.loss_dice: 0.8795, loss: 21.0402, grad_norm: 76.2179 2023-11-22 03:47:49,696 - mmseg - INFO - Saving checkpoint at 40000 iterations 2023-11-22 03:47:57,306 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 03:47:57,306 - mmseg - INFO - Iter [40000/160000] lr: 7.144e-06, eta: 19:37:29, time: 0.721, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4442, decode.loss_mask: 0.6049, decode.loss_dice: 0.8926, decode.d0.loss_cls: 1.6320, decode.d0.loss_mask: 0.6389, decode.d0.loss_dice: 1.0266, decode.d1.loss_cls: 0.5537, decode.d1.loss_mask: 0.6276, decode.d1.loss_dice: 0.9535, decode.d2.loss_cls: 0.4885, decode.d2.loss_mask: 0.6163, decode.d2.loss_dice: 0.9220, decode.d3.loss_cls: 0.4651, decode.d3.loss_mask: 0.6079, decode.d3.loss_dice: 0.9006, decode.d4.loss_cls: 0.4540, decode.d4.loss_mask: 0.6116, decode.d4.loss_dice: 0.8983, decode.d5.loss_cls: 0.4505, decode.d5.loss_mask: 0.6130, decode.d5.loss_dice: 0.9045, decode.d6.loss_cls: 0.4438, decode.d6.loss_mask: 0.6061, decode.d6.loss_dice: 0.8963, decode.d7.loss_cls: 0.4364, decode.d7.loss_mask: 0.6074, decode.d7.loss_dice: 0.8950, decode.d8.loss_cls: 0.4394, decode.d8.loss_mask: 0.6069, decode.d8.loss_dice: 0.8918, loss: 21.1294, grad_norm: 71.1867 2023-11-22 03:48:16,633 - mmseg - INFO - per class results: 2023-11-22 03:48:16,638 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.75 | 87.11 | | building | 83.08 | 93.02 | | sky | 95.0 | 97.61 | | floor | 83.49 | 89.71 | | tree | 77.11 | 87.28 | | ceiling | 85.01 | 90.55 | | road | 85.34 | 91.73 | | bed | 91.63 | 95.8 | | windowpane | 64.14 | 81.84 | | grass | 71.35 | 84.03 | | cabinet | 62.59 | 75.7 | | sidewalk | 66.47 | 81.78 | | person | 86.22 | 93.32 | | earth | 38.55 | 48.58 | | door | 51.97 | 71.08 | | table | 67.65 | 81.69 | | mountain | 63.96 | 82.32 | | plant | 54.98 | 71.97 | | curtain | 76.15 | 89.87 | | chair | 64.66 | 76.14 | | car | 86.72 | 92.22 | | water | 46.4 | 60.28 | | painting | 74.73 | 92.04 | | sofa | 73.19 | 90.58 | | shelf | 47.14 | 64.21 | | house | 37.82 | 51.89 | | sea | 56.67 | 90.16 | | mirror | 71.03 | 81.91 | | rug | 65.22 | 77.47 | | field | 31.92 | 53.84 | | armchair | 48.59 | 65.95 | | seat | 64.79 | 81.71 | | fence | 48.72 | 58.75 | | desk | 56.64 | 80.14 | | rock | 52.41 | 77.87 | | wardrobe | 52.37 | 77.84 | | lamp | 73.57 | 85.26 | | bathtub | 79.04 | 85.13 | | railing | 41.76 | 62.24 | | cushion | 67.47 | 81.52 | | base | 38.46 | 51.35 | | box | 35.38 | 48.16 | | column | 58.85 | 70.99 | | signboard | 39.54 | 61.75 | | chest of drawers | 43.76 | 68.26 | | counter | 22.94 | 26.71 | | sand | 40.81 | 62.87 | | sink | 78.71 | 85.17 | | skyscraper | 37.39 | 47.72 | | fireplace | 72.93 | 91.86 | | refrigerator | 81.47 | 92.0 | | grandstand | 56.51 | 65.59 | | path | 23.86 | 42.2 | | stairs | 51.38 | 63.12 | | runway | 77.24 | 89.64 | | case | 74.73 | 80.37 | | pool table | 95.05 | 97.41 | | pillow | 62.44 | 74.49 | | screen door | 68.11 | 84.62 | | stairway | 30.87 | 48.39 | | river | 11.76 | 14.86 | | bridge | 78.67 | 89.2 | | bookcase | 30.45 | 56.44 | | blind | 47.85 | 58.07 | | coffee table | 67.23 | 86.21 | | toilet | 90.43 | 93.43 | | flower | 42.05 | 56.6 | | book | 47.16 | 79.44 | | hill | 9.45 | 13.92 | | bench | 66.49 | 81.86 | | countertop | 62.52 | 75.93 | | stove | 83.6 | 91.54 | | palm | 55.26 | 78.52 | | kitchen island | 36.09 | 86.04 | | computer | 78.5 | 89.42 | | swivel chair | 52.68 | 78.63 | | boat | 55.39 | 93.69 | | bar | 44.78 | 56.77 | | arcade machine | 77.27 | 82.78 | | hovel | 43.46 | 49.35 | | bus | 91.78 | 95.96 | | towel | 77.98 | 91.0 | | light | 59.1 | 83.76 | | truck | 41.74 | 57.4 | | tower | 26.91 | 45.77 | | chandelier | 72.57 | 83.28 | | awning | 39.0 | 54.45 | | streetlight | 45.56 | 66.61 | | booth | 48.73 | 59.64 | | television receiver | 68.61 | 85.6 | | airplane | 67.24 | 71.58 | | dirt track | 25.51 | 30.09 | | apparel | 30.37 | 48.54 | | pole | 33.39 | 58.69 | | land | 2.02 | 2.94 | | bannister | 19.21 | 27.56 | | escalator | 22.6 | 23.79 | | ottoman | 53.83 | 70.6 | | bottle | 36.59 | 49.64 | | buffet | 47.84 | 68.03 | | poster | 29.73 | 41.56 | | stage | 14.79 | 25.41 | | van | 44.97 | 80.73 | | ship | 6.15 | 13.36 | | fountain | 20.82 | 23.48 | | conveyer belt | 80.68 | 90.72 | | canopy | 28.47 | 52.87 | | washer | 73.72 | 76.12 | | plaything | 48.99 | 75.46 | | swimming pool | 37.4 | 69.54 | | stool | 45.45 | 86.12 | | barrel | 81.31 | 96.8 | | basket | 43.61 | 61.65 | | waterfall | 61.02 | 87.72 | | tent | 96.64 | 98.1 | | bag | 28.83 | 43.0 | | minibike | 68.99 | 90.46 | | cradle | 91.01 | 97.66 | | oven | 27.3 | 74.11 | | ball | 41.79 | 46.92 | | food | 63.34 | 71.06 | | step | 22.94 | 36.94 | | tank | 43.05 | 56.8 | | trade name | 22.96 | 29.53 | | microwave | 42.33 | 46.21 | | pot | 55.79 | 72.62 | | animal | 72.57 | 74.17 | | bicycle | 57.74 | 85.88 | | lake | 0.0 | 0.0 | | dishwasher | 82.88 | 94.39 | | screen | 54.56 | 93.12 | | blanket | 36.95 | 53.78 | | sculpture | 62.68 | 89.9 | | hood | 70.16 | 82.3 | | sconce | 57.12 | 78.99 | | vase | 48.9 | 76.62 | | traffic light | 43.9 | 74.27 | | tray | 20.41 | 32.35 | | ashcan | 45.53 | 76.56 | | fan | 70.15 | 84.81 | | pier | 10.38 | 16.1 | | crt screen | 5.25 | 13.7 | | plate | 61.5 | 84.51 | | monitor | 7.11 | 7.49 | | bulletin board | 59.87 | 72.12 | | shower | 13.05 | 28.93 | | radiator | 70.5 | 83.46 | | glass | 24.44 | 30.6 | | clock | 35.18 | 52.67 | | flag | 39.23 | 45.23 | +---------------------+-------+-------+ 2023-11-22 03:48:16,639 - mmseg - INFO - Summary: 2023-11-22 03:48:16,639 - mmseg - INFO - +-------+------+------+ | aAcc | mIoU | mAcc | +-------+------+------+ | 84.57 | 53.2 | 68.0 | +-------+------+------+ 2023-11-22 03:48:16,950 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_l_640_160k_ade20k_ss/best_mIoU_iter_38000.pth was removed 2023-11-22 03:48:23,598 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_40000.pth. 2023-11-22 03:48:23,600 - mmseg - INFO - Best mIoU is 0.5320 at 40000 iter. 2023-11-22 03:48:23,600 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 03:48:23,600 - mmseg - INFO - Iter(val) [250] aAcc: 0.8457, mIoU: 0.5320, mAcc: 0.6800, IoU.wall: 0.8075, IoU.building: 0.8308, IoU.sky: 0.9500, IoU.floor: 0.8349, IoU.tree: 0.7711, IoU.ceiling: 0.8501, IoU.road: 0.8534, IoU.bed : 0.9163, IoU.windowpane: 0.6414, IoU.grass: 0.7135, IoU.cabinet: 0.6259, IoU.sidewalk: 0.6647, IoU.person: 0.8622, IoU.earth: 0.3855, IoU.door: 0.5197, IoU.table: 0.6765, IoU.mountain: 0.6396, IoU.plant: 0.5498, IoU.curtain: 0.7615, IoU.chair: 0.6466, IoU.car: 0.8672, IoU.water: 0.4640, IoU.painting: 0.7473, IoU.sofa: 0.7319, IoU.shelf: 0.4714, IoU.house: 0.3782, IoU.sea: 0.5667, IoU.mirror: 0.7103, IoU.rug: 0.6522, IoU.field: 0.3192, IoU.armchair: 0.4859, IoU.seat: 0.6479, IoU.fence: 0.4872, IoU.desk: 0.5664, IoU.rock: 0.5241, IoU.wardrobe: 0.5237, IoU.lamp: 0.7357, IoU.bathtub: 0.7904, IoU.railing: 0.4176, IoU.cushion: 0.6747, IoU.base: 0.3846, IoU.box: 0.3538, IoU.column: 0.5885, IoU.signboard: 0.3954, IoU.chest of drawers: 0.4376, IoU.counter: 0.2294, IoU.sand: 0.4081, IoU.sink: 0.7871, IoU.skyscraper: 0.3739, IoU.fireplace: 0.7293, IoU.refrigerator: 0.8147, IoU.grandstand: 0.5651, IoU.path: 0.2386, IoU.stairs: 0.5138, IoU.runway: 0.7724, IoU.case: 0.7473, IoU.pool table: 0.9505, IoU.pillow: 0.6244, IoU.screen door: 0.6811, IoU.stairway: 0.3087, IoU.river: 0.1176, IoU.bridge: 0.7867, IoU.bookcase: 0.3045, IoU.blind: 0.4785, IoU.coffee table: 0.6723, IoU.toilet: 0.9043, IoU.flower: 0.4205, IoU.book: 0.4716, IoU.hill: 0.0945, IoU.bench: 0.6649, IoU.countertop: 0.6252, IoU.stove: 0.8360, IoU.palm: 0.5526, IoU.kitchen island: 0.3609, IoU.computer: 0.7850, IoU.swivel chair: 0.5268, IoU.boat: 0.5539, IoU.bar: 0.4478, IoU.arcade machine: 0.7727, IoU.hovel: 0.4346, IoU.bus: 0.9178, IoU.towel: 0.7798, IoU.light: 0.5910, IoU.truck: 0.4174, IoU.tower: 0.2691, IoU.chandelier: 0.7257, IoU.awning: 0.3900, IoU.streetlight: 0.4556, IoU.booth: 0.4873, IoU.television receiver: 0.6861, IoU.airplane: 0.6724, IoU.dirt track: 0.2551, IoU.apparel: 0.3037, IoU.pole: 0.3339, IoU.land: 0.0202, IoU.bannister: 0.1921, IoU.escalator: 0.2260, IoU.ottoman: 0.5383, IoU.bottle: 0.3659, IoU.buffet: 0.4784, IoU.poster: 0.2973, IoU.stage: 0.1479, IoU.van: 0.4497, IoU.ship: 0.0615, IoU.fountain: 0.2082, IoU.conveyer belt: 0.8068, IoU.canopy: 0.2847, IoU.washer: 0.7372, IoU.plaything: 0.4899, IoU.swimming pool: 0.3740, IoU.stool: 0.4545, IoU.barrel: 0.8131, IoU.basket: 0.4361, IoU.waterfall: 0.6102, IoU.tent: 0.9664, IoU.bag: 0.2883, IoU.minibike: 0.6899, IoU.cradle: 0.9101, IoU.oven: 0.2730, IoU.ball: 0.4179, IoU.food: 0.6334, IoU.step: 0.2294, IoU.tank: 0.4305, IoU.trade name: 0.2296, IoU.microwave: 0.4233, IoU.pot: 0.5579, IoU.animal: 0.7257, IoU.bicycle: 0.5774, IoU.lake: 0.0000, IoU.dishwasher: 0.8288, IoU.screen: 0.5456, IoU.blanket: 0.3695, IoU.sculpture: 0.6268, IoU.hood: 0.7016, IoU.sconce: 0.5712, IoU.vase: 0.4890, IoU.traffic light: 0.4390, IoU.tray: 0.2041, IoU.ashcan: 0.4553, IoU.fan: 0.7015, IoU.pier: 0.1038, IoU.crt screen: 0.0525, IoU.plate: 0.6150, IoU.monitor: 0.0711, IoU.bulletin board: 0.5987, IoU.shower: 0.1305, IoU.radiator: 0.7050, IoU.glass: 0.2444, IoU.clock: 0.3518, IoU.flag: 0.3923, Acc.wall: 0.8711, Acc.building: 0.9302, Acc.sky: 0.9761, Acc.floor: 0.8971, Acc.tree: 0.8728, Acc.ceiling: 0.9055, Acc.road: 0.9173, Acc.bed : 0.9580, Acc.windowpane: 0.8184, Acc.grass: 0.8403, Acc.cabinet: 0.7570, Acc.sidewalk: 0.8178, Acc.person: 0.9332, Acc.earth: 0.4858, Acc.door: 0.7108, Acc.table: 0.8169, Acc.mountain: 0.8232, Acc.plant: 0.7197, Acc.curtain: 0.8987, Acc.chair: 0.7614, Acc.car: 0.9222, Acc.water: 0.6028, Acc.painting: 0.9204, Acc.sofa: 0.9058, Acc.shelf: 0.6421, Acc.house: 0.5189, Acc.sea: 0.9016, Acc.mirror: 0.8191, Acc.rug: 0.7747, Acc.field: 0.5384, Acc.armchair: 0.6595, Acc.seat: 0.8171, Acc.fence: 0.5875, Acc.desk: 0.8014, Acc.rock: 0.7787, Acc.wardrobe: 0.7784, Acc.lamp: 0.8526, Acc.bathtub: 0.8513, Acc.railing: 0.6224, Acc.cushion: 0.8152, Acc.base: 0.5135, Acc.box: 0.4816, Acc.column: 0.7099, Acc.signboard: 0.6175, Acc.chest of drawers: 0.6826, Acc.counter: 0.2671, Acc.sand: 0.6287, Acc.sink: 0.8517, Acc.skyscraper: 0.4772, Acc.fireplace: 0.9186, Acc.refrigerator: 0.9200, Acc.grandstand: 0.6559, Acc.path: 0.4220, Acc.stairs: 0.6312, Acc.runway: 0.8964, Acc.case: 0.8037, Acc.pool table: 0.9741, Acc.pillow: 0.7449, Acc.screen door: 0.8462, Acc.stairway: 0.4839, Acc.river: 0.1486, Acc.bridge: 0.8920, Acc.bookcase: 0.5644, Acc.blind: 0.5807, Acc.coffee table: 0.8621, Acc.toilet: 0.9343, Acc.flower: 0.5660, Acc.book: 0.7944, Acc.hill: 0.1392, Acc.bench: 0.8186, Acc.countertop: 0.7593, Acc.stove: 0.9154, Acc.palm: 0.7852, Acc.kitchen island: 0.8604, Acc.computer: 0.8942, Acc.swivel chair: 0.7863, Acc.boat: 0.9369, Acc.bar: 0.5677, Acc.arcade machine: 0.8278, Acc.hovel: 0.4935, Acc.bus: 0.9596, Acc.towel: 0.9100, Acc.light: 0.8376, Acc.truck: 0.5740, Acc.tower: 0.4577, Acc.chandelier: 0.8328, Acc.awning: 0.5445, Acc.streetlight: 0.6661, Acc.booth: 0.5964, Acc.television receiver: 0.8560, Acc.airplane: 0.7158, Acc.dirt track: 0.3009, Acc.apparel: 0.4854, Acc.pole: 0.5869, Acc.land: 0.0294, Acc.bannister: 0.2756, Acc.escalator: 0.2379, Acc.ottoman: 0.7060, Acc.bottle: 0.4964, Acc.buffet: 0.6803, Acc.poster: 0.4156, Acc.stage: 0.2541, Acc.van: 0.8073, Acc.ship: 0.1336, Acc.fountain: 0.2348, Acc.conveyer belt: 0.9072, Acc.canopy: 0.5287, Acc.washer: 0.7612, Acc.plaything: 0.7546, Acc.swimming pool: 0.6954, Acc.stool: 0.8612, Acc.barrel: 0.9680, Acc.basket: 0.6165, Acc.waterfall: 0.8772, Acc.tent: 0.9810, Acc.bag: 0.4300, Acc.minibike: 0.9046, Acc.cradle: 0.9766, Acc.oven: 0.7411, Acc.ball: 0.4692, Acc.food: 0.7106, Acc.step: 0.3694, Acc.tank: 0.5680, Acc.trade name: 0.2953, Acc.microwave: 0.4621, Acc.pot: 0.7262, Acc.animal: 0.7417, Acc.bicycle: 0.8588, Acc.lake: 0.0000, Acc.dishwasher: 0.9439, Acc.screen: 0.9312, Acc.blanket: 0.5378, Acc.sculpture: 0.8990, Acc.hood: 0.8230, Acc.sconce: 0.7899, Acc.vase: 0.7662, Acc.traffic light: 0.7427, Acc.tray: 0.3235, Acc.ashcan: 0.7656, Acc.fan: 0.8481, Acc.pier: 0.1610, Acc.crt screen: 0.1370, Acc.plate: 0.8451, Acc.monitor: 0.0749, Acc.bulletin board: 0.7212, Acc.shower: 0.2893, Acc.radiator: 0.8346, Acc.glass: 0.3060, Acc.clock: 0.5267, Acc.flag: 0.4523 2023-11-22 03:48:51,957 - mmseg - INFO - Iter [40050/160000] lr: 7.141e-06, eta: 19:38:15, time: 1.093, data_time: 0.540, memory: 38143, decode.loss_cls: 0.4406, decode.loss_mask: 0.6081, decode.loss_dice: 0.8679, decode.d0.loss_cls: 1.6113, decode.d0.loss_mask: 0.6482, decode.d0.loss_dice: 0.9977, decode.d1.loss_cls: 0.5343, decode.d1.loss_mask: 0.6329, decode.d1.loss_dice: 0.9410, decode.d2.loss_cls: 0.4771, decode.d2.loss_mask: 0.6227, decode.d2.loss_dice: 0.9009, decode.d3.loss_cls: 0.4517, decode.d3.loss_mask: 0.6136, decode.d3.loss_dice: 0.8853, decode.d4.loss_cls: 0.4455, decode.d4.loss_mask: 0.6141, decode.d4.loss_dice: 0.8783, decode.d5.loss_cls: 0.4418, decode.d5.loss_mask: 0.6091, decode.d5.loss_dice: 0.8822, decode.d6.loss_cls: 0.4421, decode.d6.loss_mask: 0.6072, decode.d6.loss_dice: 0.8662, decode.d7.loss_cls: 0.4420, decode.d7.loss_mask: 0.6094, decode.d7.loss_dice: 0.8679, decode.d8.loss_cls: 0.4468, decode.d8.loss_mask: 0.6093, decode.d8.loss_dice: 0.8677, loss: 20.8625, grad_norm: 75.7056 2023-11-22 03:49:20,250 - mmseg - INFO - Iter [40100/160000] lr: 7.138e-06, eta: 19:37:42, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4383, decode.loss_mask: 0.5825, decode.loss_dice: 0.8845, decode.d0.loss_cls: 1.6241, decode.d0.loss_mask: 0.6276, decode.d0.loss_dice: 1.0212, decode.d1.loss_cls: 0.5433, decode.d1.loss_mask: 0.6157, decode.d1.loss_dice: 0.9478, decode.d2.loss_cls: 0.4824, decode.d2.loss_mask: 0.6003, decode.d2.loss_dice: 0.9043, decode.d3.loss_cls: 0.4514, decode.d3.loss_mask: 0.5927, decode.d3.loss_dice: 0.8970, decode.d4.loss_cls: 0.4498, decode.d4.loss_mask: 0.5893, decode.d4.loss_dice: 0.8964, decode.d5.loss_cls: 0.4412, decode.d5.loss_mask: 0.5918, decode.d5.loss_dice: 0.8897, decode.d6.loss_cls: 0.4393, decode.d6.loss_mask: 0.5908, decode.d6.loss_dice: 0.8819, decode.d7.loss_cls: 0.4378, decode.d7.loss_mask: 0.5866, decode.d7.loss_dice: 0.8836, decode.d8.loss_cls: 0.4396, decode.d8.loss_mask: 0.5857, decode.d8.loss_dice: 0.8832, loss: 20.7998, grad_norm: 69.7930 2023-11-22 03:49:48,827 - mmseg - INFO - Iter [40150/160000] lr: 7.135e-06, eta: 19:37:10, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4463, decode.loss_mask: 0.6043, decode.loss_dice: 0.8688, decode.d0.loss_cls: 1.6556, decode.d0.loss_mask: 0.6463, decode.d0.loss_dice: 1.0112, decode.d1.loss_cls: 0.5501, decode.d1.loss_mask: 0.6274, decode.d1.loss_dice: 0.9315, decode.d2.loss_cls: 0.4829, decode.d2.loss_mask: 0.6102, decode.d2.loss_dice: 0.8928, decode.d3.loss_cls: 0.4617, decode.d3.loss_mask: 0.6063, decode.d3.loss_dice: 0.8740, decode.d4.loss_cls: 0.4645, decode.d4.loss_mask: 0.6039, decode.d4.loss_dice: 0.8690, decode.d5.loss_cls: 0.4476, decode.d5.loss_mask: 0.6040, decode.d5.loss_dice: 0.8737, decode.d6.loss_cls: 0.4461, decode.d6.loss_mask: 0.6021, decode.d6.loss_dice: 0.8704, decode.d7.loss_cls: 0.4449, decode.d7.loss_mask: 0.6032, decode.d7.loss_dice: 0.8686, decode.d8.loss_cls: 0.4494, decode.d8.loss_mask: 0.6021, decode.d8.loss_dice: 0.8695, loss: 20.8884, grad_norm: 69.4879 2023-11-22 03:50:17,032 - mmseg - INFO - Iter [40200/160000] lr: 7.132e-06, eta: 19:36:37, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4672, decode.loss_mask: 0.5977, decode.loss_dice: 0.8871, decode.d0.loss_cls: 1.6850, decode.d0.loss_mask: 0.6352, decode.d0.loss_dice: 1.0470, decode.d1.loss_cls: 0.5671, decode.d1.loss_mask: 0.6306, decode.d1.loss_dice: 0.9654, decode.d2.loss_cls: 0.5068, decode.d2.loss_mask: 0.6124, decode.d2.loss_dice: 0.9174, decode.d3.loss_cls: 0.4842, decode.d3.loss_mask: 0.6033, decode.d3.loss_dice: 0.8954, decode.d4.loss_cls: 0.4765, decode.d4.loss_mask: 0.6012, decode.d4.loss_dice: 0.8964, decode.d5.loss_cls: 0.4705, decode.d5.loss_mask: 0.6020, decode.d5.loss_dice: 0.8909, decode.d6.loss_cls: 0.4723, decode.d6.loss_mask: 0.5993, decode.d6.loss_dice: 0.8881, decode.d7.loss_cls: 0.4643, decode.d7.loss_mask: 0.5982, decode.d7.loss_dice: 0.8895, decode.d8.loss_cls: 0.4671, decode.d8.loss_mask: 0.6013, decode.d8.loss_dice: 0.8899, loss: 21.3092, grad_norm: 67.8674 2023-11-22 03:50:45,253 - mmseg - INFO - Iter [40250/160000] lr: 7.129e-06, eta: 19:36:04, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4206, decode.loss_mask: 0.6085, decode.loss_dice: 0.8786, decode.d0.loss_cls: 1.6203, decode.d0.loss_mask: 0.6419, decode.d0.loss_dice: 1.0054, decode.d1.loss_cls: 0.5215, decode.d1.loss_mask: 0.6325, decode.d1.loss_dice: 0.9342, decode.d2.loss_cls: 0.4659, decode.d2.loss_mask: 0.6183, decode.d2.loss_dice: 0.9046, decode.d3.loss_cls: 0.4408, decode.d3.loss_mask: 0.6091, decode.d3.loss_dice: 0.8831, decode.d4.loss_cls: 0.4305, decode.d4.loss_mask: 0.6136, decode.d4.loss_dice: 0.8844, decode.d5.loss_cls: 0.4247, decode.d5.loss_mask: 0.6095, decode.d5.loss_dice: 0.8822, decode.d6.loss_cls: 0.4249, decode.d6.loss_mask: 0.6101, decode.d6.loss_dice: 0.8747, decode.d7.loss_cls: 0.4214, decode.d7.loss_mask: 0.6093, decode.d7.loss_dice: 0.8805, decode.d8.loss_cls: 0.4243, decode.d8.loss_mask: 0.6086, decode.d8.loss_dice: 0.8741, loss: 20.7583, grad_norm: 76.1216 2023-11-22 03:51:13,456 - mmseg - INFO - Iter [40300/160000] lr: 7.126e-06, eta: 19:35:30, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4439, decode.loss_mask: 0.6249, decode.loss_dice: 0.8970, decode.d0.loss_cls: 1.5928, decode.d0.loss_mask: 0.6640, decode.d0.loss_dice: 1.0216, decode.d1.loss_cls: 0.5456, decode.d1.loss_mask: 0.6502, decode.d1.loss_dice: 0.9556, decode.d2.loss_cls: 0.4886, decode.d2.loss_mask: 0.6328, decode.d2.loss_dice: 0.9145, decode.d3.loss_cls: 0.4650, decode.d3.loss_mask: 0.6262, decode.d3.loss_dice: 0.9023, decode.d4.loss_cls: 0.4593, decode.d4.loss_mask: 0.6252, decode.d4.loss_dice: 0.8991, decode.d5.loss_cls: 0.4512, decode.d5.loss_mask: 0.6260, decode.d5.loss_dice: 0.8980, decode.d6.loss_cls: 0.4506, decode.d6.loss_mask: 0.6253, decode.d6.loss_dice: 0.8989, decode.d7.loss_cls: 0.4427, decode.d7.loss_mask: 0.6267, decode.d7.loss_dice: 0.8989, decode.d8.loss_cls: 0.4464, decode.d8.loss_mask: 0.6243, decode.d8.loss_dice: 0.8949, loss: 21.2924, grad_norm: 75.8910 2023-11-22 03:51:41,711 - mmseg - INFO - Iter [40350/160000] lr: 7.123e-06, eta: 19:34:57, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4389, decode.loss_mask: 0.6016, decode.loss_dice: 0.8830, decode.d0.loss_cls: 1.6238, decode.d0.loss_mask: 0.6304, decode.d0.loss_dice: 1.0209, decode.d1.loss_cls: 0.5472, decode.d1.loss_mask: 0.6212, decode.d1.loss_dice: 0.9419, decode.d2.loss_cls: 0.4849, decode.d2.loss_mask: 0.6083, decode.d2.loss_dice: 0.9150, decode.d3.loss_cls: 0.4660, decode.d3.loss_mask: 0.6052, decode.d3.loss_dice: 0.8917, decode.d4.loss_cls: 0.4541, decode.d4.loss_mask: 0.6065, decode.d4.loss_dice: 0.8892, decode.d5.loss_cls: 0.4471, decode.d5.loss_mask: 0.5999, decode.d5.loss_dice: 0.8911, decode.d6.loss_cls: 0.4408, decode.d6.loss_mask: 0.6053, decode.d6.loss_dice: 0.8896, decode.d7.loss_cls: 0.4328, decode.d7.loss_mask: 0.6050, decode.d7.loss_dice: 0.8896, decode.d8.loss_cls: 0.4329, decode.d8.loss_mask: 0.6031, decode.d8.loss_dice: 0.8880, loss: 20.9550, grad_norm: 74.7261 2023-11-22 03:52:10,031 - mmseg - INFO - Iter [40400/160000] lr: 7.120e-06, eta: 19:34:25, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4547, decode.loss_mask: 0.6274, decode.loss_dice: 0.8876, decode.d0.loss_cls: 1.6314, decode.d0.loss_mask: 0.6604, decode.d0.loss_dice: 1.0227, decode.d1.loss_cls: 0.5616, decode.d1.loss_mask: 0.6490, decode.d1.loss_dice: 0.9563, decode.d2.loss_cls: 0.5000, decode.d2.loss_mask: 0.6403, decode.d2.loss_dice: 0.9109, decode.d3.loss_cls: 0.4696, decode.d3.loss_mask: 0.6342, decode.d3.loss_dice: 0.8943, decode.d4.loss_cls: 0.4649, decode.d4.loss_mask: 0.6322, decode.d4.loss_dice: 0.8965, decode.d5.loss_cls: 0.4593, decode.d5.loss_mask: 0.6291, decode.d5.loss_dice: 0.8957, decode.d6.loss_cls: 0.4564, decode.d6.loss_mask: 0.6300, decode.d6.loss_dice: 0.8828, decode.d7.loss_cls: 0.4524, decode.d7.loss_mask: 0.6314, decode.d7.loss_dice: 0.8928, decode.d8.loss_cls: 0.4483, decode.d8.loss_mask: 0.6253, decode.d8.loss_dice: 0.8905, loss: 21.3879, grad_norm: 76.3888 2023-11-22 03:52:41,076 - mmseg - INFO - Iter [40450/160000] lr: 7.117e-06, eta: 19:34:00, time: 0.621, data_time: 0.059, memory: 38143, decode.loss_cls: 0.4352, decode.loss_mask: 0.5765, decode.loss_dice: 0.8665, decode.d0.loss_cls: 1.6339, decode.d0.loss_mask: 0.6163, decode.d0.loss_dice: 1.0033, decode.d1.loss_cls: 0.5437, decode.d1.loss_mask: 0.6008, decode.d1.loss_dice: 0.9232, decode.d2.loss_cls: 0.4751, decode.d2.loss_mask: 0.5939, decode.d2.loss_dice: 0.8978, decode.d3.loss_cls: 0.4514, decode.d3.loss_mask: 0.5904, decode.d3.loss_dice: 0.8796, decode.d4.loss_cls: 0.4432, decode.d4.loss_mask: 0.5835, decode.d4.loss_dice: 0.8756, decode.d5.loss_cls: 0.4395, decode.d5.loss_mask: 0.5802, decode.d5.loss_dice: 0.8743, decode.d6.loss_cls: 0.4338, decode.d6.loss_mask: 0.5804, decode.d6.loss_dice: 0.8702, decode.d7.loss_cls: 0.4364, decode.d7.loss_mask: 0.5761, decode.d7.loss_dice: 0.8700, decode.d8.loss_cls: 0.4284, decode.d8.loss_mask: 0.5782, decode.d8.loss_dice: 0.8740, loss: 20.5313, grad_norm: 67.3847 2023-11-22 03:53:09,376 - mmseg - INFO - Iter [40500/160000] lr: 7.114e-06, eta: 19:33:27, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4144, decode.loss_mask: 0.5806, decode.loss_dice: 0.8756, decode.d0.loss_cls: 1.6200, decode.d0.loss_mask: 0.6259, decode.d0.loss_dice: 1.0154, decode.d1.loss_cls: 0.5379, decode.d1.loss_mask: 0.6141, decode.d1.loss_dice: 0.9400, decode.d2.loss_cls: 0.4650, decode.d2.loss_mask: 0.5978, decode.d2.loss_dice: 0.9134, decode.d3.loss_cls: 0.4420, decode.d3.loss_mask: 0.5904, decode.d3.loss_dice: 0.8846, decode.d4.loss_cls: 0.4326, decode.d4.loss_mask: 0.5891, decode.d4.loss_dice: 0.8889, decode.d5.loss_cls: 0.4260, decode.d5.loss_mask: 0.5866, decode.d5.loss_dice: 0.8789, decode.d6.loss_cls: 0.4175, decode.d6.loss_mask: 0.5832, decode.d6.loss_dice: 0.8733, decode.d7.loss_cls: 0.4204, decode.d7.loss_mask: 0.5840, decode.d7.loss_dice: 0.8731, decode.d8.loss_cls: 0.4163, decode.d8.loss_mask: 0.5831, decode.d8.loss_dice: 0.8767, loss: 20.5466, grad_norm: 74.2249 2023-11-22 03:53:37,627 - mmseg - INFO - Iter [40550/160000] lr: 7.111e-06, eta: 19:32:54, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4380, decode.loss_mask: 0.6161, decode.loss_dice: 0.8958, decode.d0.loss_cls: 1.6295, decode.d0.loss_mask: 0.6589, decode.d0.loss_dice: 1.0361, decode.d1.loss_cls: 0.5481, decode.d1.loss_mask: 0.6403, decode.d1.loss_dice: 0.9635, decode.d2.loss_cls: 0.4727, decode.d2.loss_mask: 0.6259, decode.d2.loss_dice: 0.9311, decode.d3.loss_cls: 0.4625, decode.d3.loss_mask: 0.6214, decode.d3.loss_dice: 0.9147, decode.d4.loss_cls: 0.4507, decode.d4.loss_mask: 0.6191, decode.d4.loss_dice: 0.9130, decode.d5.loss_cls: 0.4431, decode.d5.loss_mask: 0.6186, decode.d5.loss_dice: 0.9037, decode.d6.loss_cls: 0.4388, decode.d6.loss_mask: 0.6160, decode.d6.loss_dice: 0.8969, decode.d7.loss_cls: 0.4297, decode.d7.loss_mask: 0.6156, decode.d7.loss_dice: 0.8986, decode.d8.loss_cls: 0.4319, decode.d8.loss_mask: 0.6135, decode.d8.loss_dice: 0.8962, loss: 21.2397, grad_norm: 71.4655 2023-11-22 03:54:05,764 - mmseg - INFO - Iter [40600/160000] lr: 7.108e-06, eta: 19:32:21, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4349, decode.loss_mask: 0.6294, decode.loss_dice: 0.8830, decode.d0.loss_cls: 1.6090, decode.d0.loss_mask: 0.6689, decode.d0.loss_dice: 1.0114, decode.d1.loss_cls: 0.5334, decode.d1.loss_mask: 0.6589, decode.d1.loss_dice: 0.9464, decode.d2.loss_cls: 0.4852, decode.d2.loss_mask: 0.6382, decode.d2.loss_dice: 0.9119, decode.d3.loss_cls: 0.4510, decode.d3.loss_mask: 0.6353, decode.d3.loss_dice: 0.8885, decode.d4.loss_cls: 0.4507, decode.d4.loss_mask: 0.6300, decode.d4.loss_dice: 0.8850, decode.d5.loss_cls: 0.4421, decode.d5.loss_mask: 0.6323, decode.d5.loss_dice: 0.8908, decode.d6.loss_cls: 0.4400, decode.d6.loss_mask: 0.6284, decode.d6.loss_dice: 0.8755, decode.d7.loss_cls: 0.4331, decode.d7.loss_mask: 0.6314, decode.d7.loss_dice: 0.8854, decode.d8.loss_cls: 0.4355, decode.d8.loss_mask: 0.6286, decode.d8.loss_dice: 0.8847, loss: 21.1588, grad_norm: 74.5659 2023-11-22 03:54:34,052 - mmseg - INFO - Iter [40650/160000] lr: 7.105e-06, eta: 19:31:48, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4425, decode.loss_mask: 0.6022, decode.loss_dice: 0.8691, decode.d0.loss_cls: 1.6576, decode.d0.loss_mask: 0.6401, decode.d0.loss_dice: 1.0099, decode.d1.loss_cls: 0.5505, decode.d1.loss_mask: 0.6233, decode.d1.loss_dice: 0.9381, decode.d2.loss_cls: 0.4785, decode.d2.loss_mask: 0.6131, decode.d2.loss_dice: 0.9010, decode.d3.loss_cls: 0.4653, decode.d3.loss_mask: 0.6047, decode.d3.loss_dice: 0.8787, decode.d4.loss_cls: 0.4548, decode.d4.loss_mask: 0.6029, decode.d4.loss_dice: 0.8850, decode.d5.loss_cls: 0.4489, decode.d5.loss_mask: 0.6053, decode.d5.loss_dice: 0.8837, decode.d6.loss_cls: 0.4486, decode.d6.loss_mask: 0.6036, decode.d6.loss_dice: 0.8730, decode.d7.loss_cls: 0.4460, decode.d7.loss_mask: 0.6006, decode.d7.loss_dice: 0.8801, decode.d8.loss_cls: 0.4452, decode.d8.loss_mask: 0.6009, decode.d8.loss_dice: 0.8741, loss: 20.9274, grad_norm: 70.0105 2023-11-22 03:55:02,532 - mmseg - INFO - Iter [40700/160000] lr: 7.102e-06, eta: 19:31:15, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4306, decode.loss_mask: 0.6096, decode.loss_dice: 0.8876, decode.d0.loss_cls: 1.6211, decode.d0.loss_mask: 0.6451, decode.d0.loss_dice: 1.0142, decode.d1.loss_cls: 0.5335, decode.d1.loss_mask: 0.6385, decode.d1.loss_dice: 0.9508, decode.d2.loss_cls: 0.4656, decode.d2.loss_mask: 0.6235, decode.d2.loss_dice: 0.9225, decode.d3.loss_cls: 0.4466, decode.d3.loss_mask: 0.6147, decode.d3.loss_dice: 0.9006, decode.d4.loss_cls: 0.4433, decode.d4.loss_mask: 0.6115, decode.d4.loss_dice: 0.8998, decode.d5.loss_cls: 0.4410, decode.d5.loss_mask: 0.6071, decode.d5.loss_dice: 0.8970, decode.d6.loss_cls: 0.4313, decode.d6.loss_mask: 0.6087, decode.d6.loss_dice: 0.8893, decode.d7.loss_cls: 0.4309, decode.d7.loss_mask: 0.6124, decode.d7.loss_dice: 0.8929, decode.d8.loss_cls: 0.4297, decode.d8.loss_mask: 0.6109, decode.d8.loss_dice: 0.8877, loss: 20.9981, grad_norm: 75.5836 2023-11-22 03:55:30,962 - mmseg - INFO - Iter [40750/160000] lr: 7.099e-06, eta: 19:30:43, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4420, decode.loss_mask: 0.5976, decode.loss_dice: 0.8767, decode.d0.loss_cls: 1.6177, decode.d0.loss_mask: 0.6290, decode.d0.loss_dice: 1.0096, decode.d1.loss_cls: 0.5421, decode.d1.loss_mask: 0.6165, decode.d1.loss_dice: 0.9339, decode.d2.loss_cls: 0.4808, decode.d2.loss_mask: 0.6111, decode.d2.loss_dice: 0.9006, decode.d3.loss_cls: 0.4575, decode.d3.loss_mask: 0.6046, decode.d3.loss_dice: 0.8860, decode.d4.loss_cls: 0.4509, decode.d4.loss_mask: 0.6032, decode.d4.loss_dice: 0.8808, decode.d5.loss_cls: 0.4477, decode.d5.loss_mask: 0.5990, decode.d5.loss_dice: 0.8849, decode.d6.loss_cls: 0.4417, decode.d6.loss_mask: 0.5979, decode.d6.loss_dice: 0.8770, decode.d7.loss_cls: 0.4369, decode.d7.loss_mask: 0.6005, decode.d7.loss_dice: 0.8737, decode.d8.loss_cls: 0.4419, decode.d8.loss_mask: 0.5978, decode.d8.loss_dice: 0.8769, loss: 20.8167, grad_norm: 73.4190 2023-11-22 03:55:59,210 - mmseg - INFO - Iter [40800/160000] lr: 7.096e-06, eta: 19:30:10, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4615, decode.loss_mask: 0.5842, decode.loss_dice: 0.8718, decode.d0.loss_cls: 1.6379, decode.d0.loss_mask: 0.6183, decode.d0.loss_dice: 1.0105, decode.d1.loss_cls: 0.5679, decode.d1.loss_mask: 0.6112, decode.d1.loss_dice: 0.9367, decode.d2.loss_cls: 0.5000, decode.d2.loss_mask: 0.5943, decode.d2.loss_dice: 0.8987, decode.d3.loss_cls: 0.4768, decode.d3.loss_mask: 0.5860, decode.d3.loss_dice: 0.8788, decode.d4.loss_cls: 0.4676, decode.d4.loss_mask: 0.5866, decode.d4.loss_dice: 0.8772, decode.d5.loss_cls: 0.4634, decode.d5.loss_mask: 0.5890, decode.d5.loss_dice: 0.8749, decode.d6.loss_cls: 0.4607, decode.d6.loss_mask: 0.5845, decode.d6.loss_dice: 0.8674, decode.d7.loss_cls: 0.4579, decode.d7.loss_mask: 0.5857, decode.d7.loss_dice: 0.8724, decode.d8.loss_cls: 0.4624, decode.d8.loss_mask: 0.5833, decode.d8.loss_dice: 0.8739, loss: 20.8416, grad_norm: 73.1850 2023-11-22 03:56:27,389 - mmseg - INFO - Iter [40850/160000] lr: 7.093e-06, eta: 19:29:37, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4298, decode.loss_mask: 0.6013, decode.loss_dice: 0.8717, decode.d0.loss_cls: 1.6221, decode.d0.loss_mask: 0.6419, decode.d0.loss_dice: 1.0101, decode.d1.loss_cls: 0.5389, decode.d1.loss_mask: 0.6245, decode.d1.loss_dice: 0.9330, decode.d2.loss_cls: 0.4670, decode.d2.loss_mask: 0.6126, decode.d2.loss_dice: 0.8949, decode.d3.loss_cls: 0.4497, decode.d3.loss_mask: 0.6012, decode.d3.loss_dice: 0.8740, decode.d4.loss_cls: 0.4416, decode.d4.loss_mask: 0.5970, decode.d4.loss_dice: 0.8754, decode.d5.loss_cls: 0.4381, decode.d5.loss_mask: 0.6029, decode.d5.loss_dice: 0.8746, decode.d6.loss_cls: 0.4277, decode.d6.loss_mask: 0.6031, decode.d6.loss_dice: 0.8699, decode.d7.loss_cls: 0.4337, decode.d7.loss_mask: 0.6000, decode.d7.loss_dice: 0.8675, decode.d8.loss_cls: 0.4280, decode.d8.loss_mask: 0.6004, decode.d8.loss_dice: 0.8703, loss: 20.7029, grad_norm: 70.5248 2023-11-22 03:56:55,550 - mmseg - INFO - Iter [40900/160000] lr: 7.090e-06, eta: 19:29:04, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4403, decode.loss_mask: 0.6358, decode.loss_dice: 0.8988, decode.d0.loss_cls: 1.6274, decode.d0.loss_mask: 0.6659, decode.d0.loss_dice: 1.0285, decode.d1.loss_cls: 0.5497, decode.d1.loss_mask: 0.6528, decode.d1.loss_dice: 0.9628, decode.d2.loss_cls: 0.4809, decode.d2.loss_mask: 0.6379, decode.d2.loss_dice: 0.9292, decode.d3.loss_cls: 0.4632, decode.d3.loss_mask: 0.6349, decode.d3.loss_dice: 0.9061, decode.d4.loss_cls: 0.4479, decode.d4.loss_mask: 0.6356, decode.d4.loss_dice: 0.9066, decode.d5.loss_cls: 0.4407, decode.d5.loss_mask: 0.6355, decode.d5.loss_dice: 0.9018, decode.d6.loss_cls: 0.4434, decode.d6.loss_mask: 0.6328, decode.d6.loss_dice: 0.8969, decode.d7.loss_cls: 0.4400, decode.d7.loss_mask: 0.6332, decode.d7.loss_dice: 0.9005, decode.d8.loss_cls: 0.4476, decode.d8.loss_mask: 0.6286, decode.d8.loss_dice: 0.8962, loss: 21.4017, grad_norm: 77.4063 2023-11-22 03:57:23,803 - mmseg - INFO - Iter [40950/160000] lr: 7.087e-06, eta: 19:28:31, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4480, decode.loss_mask: 0.6104, decode.loss_dice: 0.9025, decode.d0.loss_cls: 1.6343, decode.d0.loss_mask: 0.6492, decode.d0.loss_dice: 1.0452, decode.d1.loss_cls: 0.5608, decode.d1.loss_mask: 0.6373, decode.d1.loss_dice: 0.9761, decode.d2.loss_cls: 0.5003, decode.d2.loss_mask: 0.6186, decode.d2.loss_dice: 0.9378, decode.d3.loss_cls: 0.4768, decode.d3.loss_mask: 0.6106, decode.d3.loss_dice: 0.9128, decode.d4.loss_cls: 0.4595, decode.d4.loss_mask: 0.6120, decode.d4.loss_dice: 0.9112, decode.d5.loss_cls: 0.4558, decode.d5.loss_mask: 0.6144, decode.d5.loss_dice: 0.9093, decode.d6.loss_cls: 0.4568, decode.d6.loss_mask: 0.6111, decode.d6.loss_dice: 0.9029, decode.d7.loss_cls: 0.4477, decode.d7.loss_mask: 0.6107, decode.d7.loss_dice: 0.9075, decode.d8.loss_cls: 0.4490, decode.d8.loss_mask: 0.6129, decode.d8.loss_dice: 0.9021, loss: 21.3835, grad_norm: 76.6651 2023-11-22 03:57:52,343 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 03:57:52,343 - mmseg - INFO - Iter [41000/160000] lr: 7.084e-06, eta: 19:27:59, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4129, decode.loss_mask: 0.6398, decode.loss_dice: 0.9167, decode.d0.loss_cls: 1.6016, decode.d0.loss_mask: 0.6791, decode.d0.loss_dice: 1.0538, decode.d1.loss_cls: 0.5228, decode.d1.loss_mask: 0.6718, decode.d1.loss_dice: 0.9834, decode.d2.loss_cls: 0.4607, decode.d2.loss_mask: 0.6505, decode.d2.loss_dice: 0.9445, decode.d3.loss_cls: 0.4332, decode.d3.loss_mask: 0.6453, decode.d3.loss_dice: 0.9337, decode.d4.loss_cls: 0.4247, decode.d4.loss_mask: 0.6446, decode.d4.loss_dice: 0.9353, decode.d5.loss_cls: 0.4147, decode.d5.loss_mask: 0.6398, decode.d5.loss_dice: 0.9372, decode.d6.loss_cls: 0.4164, decode.d6.loss_mask: 0.6395, decode.d6.loss_dice: 0.9225, decode.d7.loss_cls: 0.4145, decode.d7.loss_mask: 0.6401, decode.d7.loss_dice: 0.9239, decode.d8.loss_cls: 0.4192, decode.d8.loss_mask: 0.6369, decode.d8.loss_dice: 0.9202, loss: 21.4792, grad_norm: 72.1746 2023-11-22 03:58:20,635 - mmseg - INFO - Iter [41050/160000] lr: 7.081e-06, eta: 19:27:26, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4471, decode.loss_mask: 0.6084, decode.loss_dice: 0.8958, decode.d0.loss_cls: 1.6339, decode.d0.loss_mask: 0.6480, decode.d0.loss_dice: 1.0398, decode.d1.loss_cls: 0.5661, decode.d1.loss_mask: 0.6371, decode.d1.loss_dice: 0.9671, decode.d2.loss_cls: 0.4948, decode.d2.loss_mask: 0.6195, decode.d2.loss_dice: 0.9194, decode.d3.loss_cls: 0.4747, decode.d3.loss_mask: 0.6109, decode.d3.loss_dice: 0.8930, decode.d4.loss_cls: 0.4686, decode.d4.loss_mask: 0.6138, decode.d4.loss_dice: 0.9007, decode.d5.loss_cls: 0.4531, decode.d5.loss_mask: 0.6105, decode.d5.loss_dice: 0.9058, decode.d6.loss_cls: 0.4510, decode.d6.loss_mask: 0.6108, decode.d6.loss_dice: 0.8973, decode.d7.loss_cls: 0.4453, decode.d7.loss_mask: 0.6133, decode.d7.loss_dice: 0.9003, decode.d8.loss_cls: 0.4501, decode.d8.loss_mask: 0.6087, decode.d8.loss_dice: 0.9017, loss: 21.2868, grad_norm: 71.4370 2023-11-22 03:58:48,938 - mmseg - INFO - Iter [41100/160000] lr: 7.078e-06, eta: 19:26:53, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4304, decode.loss_mask: 0.6026, decode.loss_dice: 0.8737, decode.d0.loss_cls: 1.6439, decode.d0.loss_mask: 0.6397, decode.d0.loss_dice: 1.0238, decode.d1.loss_cls: 0.5272, decode.d1.loss_mask: 0.6355, decode.d1.loss_dice: 0.9554, decode.d2.loss_cls: 0.4674, decode.d2.loss_mask: 0.6139, decode.d2.loss_dice: 0.9244, decode.d3.loss_cls: 0.4456, decode.d3.loss_mask: 0.6063, decode.d3.loss_dice: 0.8897, decode.d4.loss_cls: 0.4340, decode.d4.loss_mask: 0.6093, decode.d4.loss_dice: 0.8946, decode.d5.loss_cls: 0.4303, decode.d5.loss_mask: 0.6083, decode.d5.loss_dice: 0.8929, decode.d6.loss_cls: 0.4281, decode.d6.loss_mask: 0.6046, decode.d6.loss_dice: 0.8872, decode.d7.loss_cls: 0.4216, decode.d7.loss_mask: 0.6037, decode.d7.loss_dice: 0.8874, decode.d8.loss_cls: 0.4245, decode.d8.loss_mask: 0.6031, decode.d8.loss_dice: 0.8790, loss: 20.8885, grad_norm: 70.6758 2023-11-22 03:59:17,150 - mmseg - INFO - Iter [41150/160000] lr: 7.075e-06, eta: 19:26:20, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4341, decode.loss_mask: 0.6043, decode.loss_dice: 0.8743, decode.d0.loss_cls: 1.6148, decode.d0.loss_mask: 0.6446, decode.d0.loss_dice: 1.0078, decode.d1.loss_cls: 0.5434, decode.d1.loss_mask: 0.6260, decode.d1.loss_dice: 0.9372, decode.d2.loss_cls: 0.4685, decode.d2.loss_mask: 0.6148, decode.d2.loss_dice: 0.9009, decode.d3.loss_cls: 0.4538, decode.d3.loss_mask: 0.6068, decode.d3.loss_dice: 0.8823, decode.d4.loss_cls: 0.4521, decode.d4.loss_mask: 0.6009, decode.d4.loss_dice: 0.8781, decode.d5.loss_cls: 0.4448, decode.d5.loss_mask: 0.6054, decode.d5.loss_dice: 0.8798, decode.d6.loss_cls: 0.4311, decode.d6.loss_mask: 0.6048, decode.d6.loss_dice: 0.8713, decode.d7.loss_cls: 0.4359, decode.d7.loss_mask: 0.6022, decode.d7.loss_dice: 0.8675, decode.d8.loss_cls: 0.4366, decode.d8.loss_mask: 0.6052, decode.d8.loss_dice: 0.8746, loss: 20.8043, grad_norm: 69.7064 2023-11-22 03:59:45,368 - mmseg - INFO - Iter [41200/160000] lr: 7.072e-06, eta: 19:25:47, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4315, decode.loss_mask: 0.6068, decode.loss_dice: 0.8662, decode.d0.loss_cls: 1.6090, decode.d0.loss_mask: 0.6437, decode.d0.loss_dice: 1.0070, decode.d1.loss_cls: 0.5343, decode.d1.loss_mask: 0.6302, decode.d1.loss_dice: 0.9281, decode.d2.loss_cls: 0.4694, decode.d2.loss_mask: 0.6173, decode.d2.loss_dice: 0.9020, decode.d3.loss_cls: 0.4422, decode.d3.loss_mask: 0.6099, decode.d3.loss_dice: 0.8846, decode.d4.loss_cls: 0.4382, decode.d4.loss_mask: 0.6069, decode.d4.loss_dice: 0.8849, decode.d5.loss_cls: 0.4378, decode.d5.loss_mask: 0.6070, decode.d5.loss_dice: 0.8846, decode.d6.loss_cls: 0.4310, decode.d6.loss_mask: 0.6040, decode.d6.loss_dice: 0.8719, decode.d7.loss_cls: 0.4299, decode.d7.loss_mask: 0.6044, decode.d7.loss_dice: 0.8717, decode.d8.loss_cls: 0.4377, decode.d8.loss_mask: 0.6021, decode.d8.loss_dice: 0.8671, loss: 20.7613, grad_norm: 77.9319 2023-11-22 04:00:13,725 - mmseg - INFO - Iter [41250/160000] lr: 7.069e-06, eta: 19:25:15, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4459, decode.loss_mask: 0.6161, decode.loss_dice: 0.8827, decode.d0.loss_cls: 1.6291, decode.d0.loss_mask: 0.6526, decode.d0.loss_dice: 1.0134, decode.d1.loss_cls: 0.5526, decode.d1.loss_mask: 0.6397, decode.d1.loss_dice: 0.9562, decode.d2.loss_cls: 0.4892, decode.d2.loss_mask: 0.6278, decode.d2.loss_dice: 0.9180, decode.d3.loss_cls: 0.4661, decode.d3.loss_mask: 0.6197, decode.d3.loss_dice: 0.8938, decode.d4.loss_cls: 0.4552, decode.d4.loss_mask: 0.6206, decode.d4.loss_dice: 0.8950, decode.d5.loss_cls: 0.4553, decode.d5.loss_mask: 0.6202, decode.d5.loss_dice: 0.8941, decode.d6.loss_cls: 0.4499, decode.d6.loss_mask: 0.6198, decode.d6.loss_dice: 0.8818, decode.d7.loss_cls: 0.4505, decode.d7.loss_mask: 0.6179, decode.d7.loss_dice: 0.8862, decode.d8.loss_cls: 0.4469, decode.d8.loss_mask: 0.6156, decode.d8.loss_dice: 0.8847, loss: 21.1967, grad_norm: 77.9453 2023-11-22 04:00:42,334 - mmseg - INFO - Iter [41300/160000] lr: 7.066e-06, eta: 19:24:43, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4344, decode.loss_mask: 0.5768, decode.loss_dice: 0.8794, decode.d0.loss_cls: 1.6496, decode.d0.loss_mask: 0.6143, decode.d0.loss_dice: 1.0155, decode.d1.loss_cls: 0.5417, decode.d1.loss_mask: 0.6018, decode.d1.loss_dice: 0.9464, decode.d2.loss_cls: 0.4759, decode.d2.loss_mask: 0.5840, decode.d2.loss_dice: 0.9102, decode.d3.loss_cls: 0.4509, decode.d3.loss_mask: 0.5815, decode.d3.loss_dice: 0.8900, decode.d4.loss_cls: 0.4464, decode.d4.loss_mask: 0.5798, decode.d4.loss_dice: 0.8898, decode.d5.loss_cls: 0.4425, decode.d5.loss_mask: 0.5788, decode.d5.loss_dice: 0.8853, decode.d6.loss_cls: 0.4396, decode.d6.loss_mask: 0.5765, decode.d6.loss_dice: 0.8808, decode.d7.loss_cls: 0.4358, decode.d7.loss_mask: 0.5772, decode.d7.loss_dice: 0.8838, decode.d8.loss_cls: 0.4338, decode.d8.loss_mask: 0.5803, decode.d8.loss_dice: 0.8839, loss: 20.6666, grad_norm: 72.6822 2023-11-22 04:01:10,609 - mmseg - INFO - Iter [41350/160000] lr: 7.063e-06, eta: 19:24:10, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4247, decode.loss_mask: 0.6300, decode.loss_dice: 0.9000, decode.d0.loss_cls: 1.6266, decode.d0.loss_mask: 0.6673, decode.d0.loss_dice: 1.0341, decode.d1.loss_cls: 0.5292, decode.d1.loss_mask: 0.6600, decode.d1.loss_dice: 0.9622, decode.d2.loss_cls: 0.4743, decode.d2.loss_mask: 0.6412, decode.d2.loss_dice: 0.9223, decode.d3.loss_cls: 0.4514, decode.d3.loss_mask: 0.6304, decode.d3.loss_dice: 0.9013, decode.d4.loss_cls: 0.4384, decode.d4.loss_mask: 0.6305, decode.d4.loss_dice: 0.8999, decode.d5.loss_cls: 0.4361, decode.d5.loss_mask: 0.6289, decode.d5.loss_dice: 0.9009, decode.d6.loss_cls: 0.4298, decode.d6.loss_mask: 0.6293, decode.d6.loss_dice: 0.8905, decode.d7.loss_cls: 0.4274, decode.d7.loss_mask: 0.6317, decode.d7.loss_dice: 0.8941, decode.d8.loss_cls: 0.4252, decode.d8.loss_mask: 0.6319, decode.d8.loss_dice: 0.8963, loss: 21.2456, grad_norm: 77.3921 2023-11-22 04:01:38,871 - mmseg - INFO - Iter [41400/160000] lr: 7.060e-06, eta: 19:23:37, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4329, decode.loss_mask: 0.5991, decode.loss_dice: 0.8800, decode.d0.loss_cls: 1.6188, decode.d0.loss_mask: 0.6283, decode.d0.loss_dice: 1.0127, decode.d1.loss_cls: 0.5331, decode.d1.loss_mask: 0.6247, decode.d1.loss_dice: 0.9516, decode.d2.loss_cls: 0.4649, decode.d2.loss_mask: 0.6066, decode.d2.loss_dice: 0.9139, decode.d3.loss_cls: 0.4495, decode.d3.loss_mask: 0.6017, decode.d3.loss_dice: 0.8904, decode.d4.loss_cls: 0.4361, decode.d4.loss_mask: 0.6045, decode.d4.loss_dice: 0.8909, decode.d5.loss_cls: 0.4354, decode.d5.loss_mask: 0.5970, decode.d5.loss_dice: 0.8911, decode.d6.loss_cls: 0.4397, decode.d6.loss_mask: 0.5956, decode.d6.loss_dice: 0.8777, decode.d7.loss_cls: 0.4339, decode.d7.loss_mask: 0.5944, decode.d7.loss_dice: 0.8847, decode.d8.loss_cls: 0.4325, decode.d8.loss_mask: 0.5942, decode.d8.loss_dice: 0.8812, loss: 20.7970, grad_norm: 76.4179 2023-11-22 04:02:07,329 - mmseg - INFO - Iter [41450/160000] lr: 7.057e-06, eta: 19:23:05, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4341, decode.loss_mask: 0.6028, decode.loss_dice: 0.8775, decode.d0.loss_cls: 1.5697, decode.d0.loss_mask: 0.6400, decode.d0.loss_dice: 0.9973, decode.d1.loss_cls: 0.5337, decode.d1.loss_mask: 0.6300, decode.d1.loss_dice: 0.9384, decode.d2.loss_cls: 0.4767, decode.d2.loss_mask: 0.6177, decode.d2.loss_dice: 0.8967, decode.d3.loss_cls: 0.4536, decode.d3.loss_mask: 0.6061, decode.d3.loss_dice: 0.8816, decode.d4.loss_cls: 0.4431, decode.d4.loss_mask: 0.6055, decode.d4.loss_dice: 0.8845, decode.d5.loss_cls: 0.4392, decode.d5.loss_mask: 0.6046, decode.d5.loss_dice: 0.8821, decode.d6.loss_cls: 0.4369, decode.d6.loss_mask: 0.6051, decode.d6.loss_dice: 0.8749, decode.d7.loss_cls: 0.4324, decode.d7.loss_mask: 0.6013, decode.d7.loss_dice: 0.8766, decode.d8.loss_cls: 0.4362, decode.d8.loss_mask: 0.6035, decode.d8.loss_dice: 0.8711, loss: 20.7528, grad_norm: 80.6291 2023-11-22 04:02:35,478 - mmseg - INFO - Iter [41500/160000] lr: 7.054e-06, eta: 19:22:32, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4332, decode.loss_mask: 0.5982, decode.loss_dice: 0.8869, decode.d0.loss_cls: 1.6333, decode.d0.loss_mask: 0.6327, decode.d0.loss_dice: 1.0137, decode.d1.loss_cls: 0.5489, decode.d1.loss_mask: 0.6187, decode.d1.loss_dice: 0.9290, decode.d2.loss_cls: 0.4777, decode.d2.loss_mask: 0.6072, decode.d2.loss_dice: 0.9082, decode.d3.loss_cls: 0.4541, decode.d3.loss_mask: 0.5994, decode.d3.loss_dice: 0.8871, decode.d4.loss_cls: 0.4421, decode.d4.loss_mask: 0.5989, decode.d4.loss_dice: 0.8901, decode.d5.loss_cls: 0.4370, decode.d5.loss_mask: 0.6007, decode.d5.loss_dice: 0.8935, decode.d6.loss_cls: 0.4354, decode.d6.loss_mask: 0.5978, decode.d6.loss_dice: 0.8787, decode.d7.loss_cls: 0.4385, decode.d7.loss_mask: 0.5964, decode.d7.loss_dice: 0.8848, decode.d8.loss_cls: 0.4341, decode.d8.loss_mask: 0.5990, decode.d8.loss_dice: 0.8847, loss: 20.8401, grad_norm: 71.5530 2023-11-22 04:03:03,911 - mmseg - INFO - Iter [41550/160000] lr: 7.051e-06, eta: 19:22:00, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4363, decode.loss_mask: 0.5776, decode.loss_dice: 0.8669, decode.d0.loss_cls: 1.6134, decode.d0.loss_mask: 0.6232, decode.d0.loss_dice: 1.0136, decode.d1.loss_cls: 0.5299, decode.d1.loss_mask: 0.6079, decode.d1.loss_dice: 0.9385, decode.d2.loss_cls: 0.4721, decode.d2.loss_mask: 0.5946, decode.d2.loss_dice: 0.9088, decode.d3.loss_cls: 0.4489, decode.d3.loss_mask: 0.5924, decode.d3.loss_dice: 0.8823, decode.d4.loss_cls: 0.4436, decode.d4.loss_mask: 0.5851, decode.d4.loss_dice: 0.8799, decode.d5.loss_cls: 0.4349, decode.d5.loss_mask: 0.5847, decode.d5.loss_dice: 0.8799, decode.d6.loss_cls: 0.4359, decode.d6.loss_mask: 0.5813, decode.d6.loss_dice: 0.8706, decode.d7.loss_cls: 0.4351, decode.d7.loss_mask: 0.5803, decode.d7.loss_dice: 0.8726, decode.d8.loss_cls: 0.4350, decode.d8.loss_mask: 0.5797, decode.d8.loss_dice: 0.8714, loss: 20.5764, grad_norm: 73.9151 2023-11-22 04:03:32,459 - mmseg - INFO - Iter [41600/160000] lr: 7.048e-06, eta: 19:21:28, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4212, decode.loss_mask: 0.5945, decode.loss_dice: 0.8745, decode.d0.loss_cls: 1.5733, decode.d0.loss_mask: 0.6309, decode.d0.loss_dice: 1.0123, decode.d1.loss_cls: 0.5232, decode.d1.loss_mask: 0.6174, decode.d1.loss_dice: 0.9281, decode.d2.loss_cls: 0.4634, decode.d2.loss_mask: 0.6067, decode.d2.loss_dice: 0.9041, decode.d3.loss_cls: 0.4450, decode.d3.loss_mask: 0.6015, decode.d3.loss_dice: 0.8849, decode.d4.loss_cls: 0.4331, decode.d4.loss_mask: 0.5979, decode.d4.loss_dice: 0.8906, decode.d5.loss_cls: 0.4269, decode.d5.loss_mask: 0.5961, decode.d5.loss_dice: 0.8837, decode.d6.loss_cls: 0.4253, decode.d6.loss_mask: 0.5947, decode.d6.loss_dice: 0.8729, decode.d7.loss_cls: 0.4236, decode.d7.loss_mask: 0.5953, decode.d7.loss_dice: 0.8797, decode.d8.loss_cls: 0.4207, decode.d8.loss_mask: 0.5942, decode.d8.loss_dice: 0.8802, loss: 20.5959, grad_norm: 73.7967 2023-11-22 04:04:00,764 - mmseg - INFO - Iter [41650/160000] lr: 7.045e-06, eta: 19:20:55, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4593, decode.loss_mask: 0.5940, decode.loss_dice: 0.8808, decode.d0.loss_cls: 1.6356, decode.d0.loss_mask: 0.6335, decode.d0.loss_dice: 1.0186, decode.d1.loss_cls: 0.5730, decode.d1.loss_mask: 0.6155, decode.d1.loss_dice: 0.9433, decode.d2.loss_cls: 0.5042, decode.d2.loss_mask: 0.6038, decode.d2.loss_dice: 0.9054, decode.d3.loss_cls: 0.4835, decode.d3.loss_mask: 0.5992, decode.d3.loss_dice: 0.8882, decode.d4.loss_cls: 0.4791, decode.d4.loss_mask: 0.5996, decode.d4.loss_dice: 0.8848, decode.d5.loss_cls: 0.4661, decode.d5.loss_mask: 0.5994, decode.d5.loss_dice: 0.8878, decode.d6.loss_cls: 0.4648, decode.d6.loss_mask: 0.5959, decode.d6.loss_dice: 0.8774, decode.d7.loss_cls: 0.4625, decode.d7.loss_mask: 0.5932, decode.d7.loss_dice: 0.8830, decode.d8.loss_cls: 0.4601, decode.d8.loss_mask: 0.5933, decode.d8.loss_dice: 0.8815, loss: 21.0665, grad_norm: 71.8596 2023-11-22 04:04:31,445 - mmseg - INFO - Iter [41700/160000] lr: 7.043e-06, eta: 19:20:29, time: 0.614, data_time: 0.058, memory: 38143, decode.loss_cls: 0.4244, decode.loss_mask: 0.5875, decode.loss_dice: 0.8829, decode.d0.loss_cls: 1.6081, decode.d0.loss_mask: 0.6289, decode.d0.loss_dice: 1.0214, decode.d1.loss_cls: 0.5327, decode.d1.loss_mask: 0.6128, decode.d1.loss_dice: 0.9417, decode.d2.loss_cls: 0.4627, decode.d2.loss_mask: 0.5996, decode.d2.loss_dice: 0.9140, decode.d3.loss_cls: 0.4404, decode.d3.loss_mask: 0.5913, decode.d3.loss_dice: 0.8924, decode.d4.loss_cls: 0.4278, decode.d4.loss_mask: 0.5918, decode.d4.loss_dice: 0.8963, decode.d5.loss_cls: 0.4285, decode.d5.loss_mask: 0.5897, decode.d5.loss_dice: 0.8854, decode.d6.loss_cls: 0.4296, decode.d6.loss_mask: 0.5855, decode.d6.loss_dice: 0.8828, decode.d7.loss_cls: 0.4217, decode.d7.loss_mask: 0.5884, decode.d7.loss_dice: 0.8876, decode.d8.loss_cls: 0.4255, decode.d8.loss_mask: 0.5870, decode.d8.loss_dice: 0.8878, loss: 20.6561, grad_norm: 71.8484 2023-11-22 04:04:59,795 - mmseg - INFO - Iter [41750/160000] lr: 7.040e-06, eta: 19:19:57, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4057, decode.loss_mask: 0.6042, decode.loss_dice: 0.8649, decode.d0.loss_cls: 1.5728, decode.d0.loss_mask: 0.6306, decode.d0.loss_dice: 0.9975, decode.d1.loss_cls: 0.5314, decode.d1.loss_mask: 0.6261, decode.d1.loss_dice: 0.9204, decode.d2.loss_cls: 0.4499, decode.d2.loss_mask: 0.6163, decode.d2.loss_dice: 0.8937, decode.d3.loss_cls: 0.4353, decode.d3.loss_mask: 0.6052, decode.d3.loss_dice: 0.8758, decode.d4.loss_cls: 0.4227, decode.d4.loss_mask: 0.6108, decode.d4.loss_dice: 0.8770, decode.d5.loss_cls: 0.4193, decode.d5.loss_mask: 0.6079, decode.d5.loss_dice: 0.8750, decode.d6.loss_cls: 0.4201, decode.d6.loss_mask: 0.6057, decode.d6.loss_dice: 0.8698, decode.d7.loss_cls: 0.4084, decode.d7.loss_mask: 0.6040, decode.d7.loss_dice: 0.8696, decode.d8.loss_cls: 0.4121, decode.d8.loss_mask: 0.6043, decode.d8.loss_dice: 0.8701, loss: 20.5067, grad_norm: 73.2059 2023-11-22 04:05:27,938 - mmseg - INFO - Iter [41800/160000] lr: 7.037e-06, eta: 19:19:24, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4261, decode.loss_mask: 0.6159, decode.loss_dice: 0.8883, decode.d0.loss_cls: 1.5832, decode.d0.loss_mask: 0.6529, decode.d0.loss_dice: 1.0185, decode.d1.loss_cls: 0.5277, decode.d1.loss_mask: 0.6413, decode.d1.loss_dice: 0.9484, decode.d2.loss_cls: 0.4699, decode.d2.loss_mask: 0.6255, decode.d2.loss_dice: 0.9240, decode.d3.loss_cls: 0.4491, decode.d3.loss_mask: 0.6134, decode.d3.loss_dice: 0.8950, decode.d4.loss_cls: 0.4367, decode.d4.loss_mask: 0.6173, decode.d4.loss_dice: 0.8903, decode.d5.loss_cls: 0.4300, decode.d5.loss_mask: 0.6147, decode.d5.loss_dice: 0.8922, decode.d6.loss_cls: 0.4291, decode.d6.loss_mask: 0.6141, decode.d6.loss_dice: 0.8900, decode.d7.loss_cls: 0.4316, decode.d7.loss_mask: 0.6153, decode.d7.loss_dice: 0.8862, decode.d8.loss_cls: 0.4287, decode.d8.loss_mask: 0.6147, decode.d8.loss_dice: 0.8858, loss: 20.9557, grad_norm: 74.6230 2023-11-22 04:05:56,092 - mmseg - INFO - Iter [41850/160000] lr: 7.034e-06, eta: 19:18:51, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4387, decode.loss_mask: 0.6101, decode.loss_dice: 0.8834, decode.d0.loss_cls: 1.6228, decode.d0.loss_mask: 0.6518, decode.d0.loss_dice: 1.0193, decode.d1.loss_cls: 0.5364, decode.d1.loss_mask: 0.6416, decode.d1.loss_dice: 0.9410, decode.d2.loss_cls: 0.4854, decode.d2.loss_mask: 0.6232, decode.d2.loss_dice: 0.9055, decode.d3.loss_cls: 0.4629, decode.d3.loss_mask: 0.6172, decode.d3.loss_dice: 0.8839, decode.d4.loss_cls: 0.4575, decode.d4.loss_mask: 0.6143, decode.d4.loss_dice: 0.8908, decode.d5.loss_cls: 0.4415, decode.d5.loss_mask: 0.6161, decode.d5.loss_dice: 0.8828, decode.d6.loss_cls: 0.4478, decode.d6.loss_mask: 0.6100, decode.d6.loss_dice: 0.8783, decode.d7.loss_cls: 0.4402, decode.d7.loss_mask: 0.6121, decode.d7.loss_dice: 0.8813, decode.d8.loss_cls: 0.4420, decode.d8.loss_mask: 0.6120, decode.d8.loss_dice: 0.8821, loss: 21.0322, grad_norm: 77.7980 2023-11-22 04:06:24,923 - mmseg - INFO - Iter [41900/160000] lr: 7.031e-06, eta: 19:18:19, time: 0.577, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4242, decode.loss_mask: 0.5754, decode.loss_dice: 0.8821, decode.d0.loss_cls: 1.6267, decode.d0.loss_mask: 0.6104, decode.d0.loss_dice: 1.0147, decode.d1.loss_cls: 0.5459, decode.d1.loss_mask: 0.5973, decode.d1.loss_dice: 0.9434, decode.d2.loss_cls: 0.4765, decode.d2.loss_mask: 0.5839, decode.d2.loss_dice: 0.9086, decode.d3.loss_cls: 0.4415, decode.d3.loss_mask: 0.5819, decode.d3.loss_dice: 0.8929, decode.d4.loss_cls: 0.4322, decode.d4.loss_mask: 0.5787, decode.d4.loss_dice: 0.8858, decode.d5.loss_cls: 0.4282, decode.d5.loss_mask: 0.5776, decode.d5.loss_dice: 0.8900, decode.d6.loss_cls: 0.4251, decode.d6.loss_mask: 0.5768, decode.d6.loss_dice: 0.8813, decode.d7.loss_cls: 0.4238, decode.d7.loss_mask: 0.5755, decode.d7.loss_dice: 0.8846, decode.d8.loss_cls: 0.4239, decode.d8.loss_mask: 0.5753, decode.d8.loss_dice: 0.8841, loss: 20.5482, grad_norm: 73.3833 2023-11-22 04:06:53,384 - mmseg - INFO - Iter [41950/160000] lr: 7.028e-06, eta: 19:17:47, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4213, decode.loss_mask: 0.5951, decode.loss_dice: 0.8977, decode.d0.loss_cls: 1.5848, decode.d0.loss_mask: 0.6229, decode.d0.loss_dice: 1.0163, decode.d1.loss_cls: 0.5098, decode.d1.loss_mask: 0.6184, decode.d1.loss_dice: 0.9583, decode.d2.loss_cls: 0.4669, decode.d2.loss_mask: 0.6032, decode.d2.loss_dice: 0.9304, decode.d3.loss_cls: 0.4372, decode.d3.loss_mask: 0.5995, decode.d3.loss_dice: 0.9109, decode.d4.loss_cls: 0.4256, decode.d4.loss_mask: 0.5984, decode.d4.loss_dice: 0.9110, decode.d5.loss_cls: 0.4229, decode.d5.loss_mask: 0.5953, decode.d5.loss_dice: 0.9033, decode.d6.loss_cls: 0.4261, decode.d6.loss_mask: 0.5955, decode.d6.loss_dice: 0.8952, decode.d7.loss_cls: 0.4185, decode.d7.loss_mask: 0.5960, decode.d7.loss_dice: 0.9006, decode.d8.loss_cls: 0.4198, decode.d8.loss_mask: 0.5956, decode.d8.loss_dice: 0.9030, loss: 20.7796, grad_norm: 68.8564 2023-11-22 04:07:21,630 - mmseg - INFO - Saving checkpoint at 42000 iterations 2023-11-22 04:07:29,688 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 04:07:29,688 - mmseg - INFO - Iter [42000/160000] lr: 7.025e-06, eta: 19:17:37, time: 0.726, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4432, decode.loss_mask: 0.5993, decode.loss_dice: 0.8770, decode.d0.loss_cls: 1.6205, decode.d0.loss_mask: 0.6479, decode.d0.loss_dice: 0.9982, decode.d1.loss_cls: 0.5531, decode.d1.loss_mask: 0.6298, decode.d1.loss_dice: 0.9398, decode.d2.loss_cls: 0.4843, decode.d2.loss_mask: 0.6187, decode.d2.loss_dice: 0.9071, decode.d3.loss_cls: 0.4640, decode.d3.loss_mask: 0.6106, decode.d3.loss_dice: 0.8840, decode.d4.loss_cls: 0.4555, decode.d4.loss_mask: 0.6101, decode.d4.loss_dice: 0.8834, decode.d5.loss_cls: 0.4528, decode.d5.loss_mask: 0.6062, decode.d5.loss_dice: 0.8795, decode.d6.loss_cls: 0.4447, decode.d6.loss_mask: 0.6013, decode.d6.loss_dice: 0.8691, decode.d7.loss_cls: 0.4387, decode.d7.loss_mask: 0.6037, decode.d7.loss_dice: 0.8778, decode.d8.loss_cls: 0.4364, decode.d8.loss_mask: 0.6026, decode.d8.loss_dice: 0.8801, loss: 20.9193, grad_norm: 74.2349 2023-11-22 04:07:49,210 - mmseg - INFO - per class results: 2023-11-22 04:07:49,216 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.48 | 87.85 | | building | 82.6 | 92.09 | | sky | 95.0 | 97.17 | | floor | 83.79 | 90.71 | | tree | 77.25 | 87.95 | | ceiling | 86.43 | 92.93 | | road | 85.71 | 91.76 | | bed | 91.98 | 96.26 | | windowpane | 63.82 | 81.46 | | grass | 66.0 | 76.2 | | cabinet | 64.23 | 75.84 | | sidewalk | 68.55 | 83.76 | | person | 86.11 | 93.7 | | earth | 34.8 | 42.25 | | door | 52.42 | 73.52 | | table | 68.83 | 84.01 | | mountain | 64.56 | 81.79 | | plant | 55.09 | 72.84 | | curtain | 76.0 | 90.51 | | chair | 66.9 | 76.86 | | car | 87.29 | 92.72 | | water | 54.5 | 70.79 | | painting | 76.95 | 88.05 | | sofa | 71.69 | 87.08 | | shelf | 47.77 | 67.8 | | house | 25.69 | 33.13 | | sea | 63.48 | 90.27 | | mirror | 70.66 | 84.0 | | rug | 67.59 | 81.59 | | field | 25.68 | 66.53 | | armchair | 51.58 | 66.8 | | seat | 66.69 | 88.44 | | fence | 47.91 | 70.45 | | desk | 50.95 | 70.87 | | rock | 48.7 | 61.05 | | wardrobe | 44.87 | 63.88 | | lamp | 72.78 | 85.28 | | bathtub | 78.94 | 86.56 | | railing | 39.3 | 58.81 | | cushion | 66.48 | 75.22 | | base | 34.68 | 72.27 | | box | 33.78 | 41.31 | | column | 52.63 | 74.04 | | signboard | 40.74 | 62.05 | | chest of drawers | 40.14 | 59.56 | | counter | 33.85 | 39.46 | | sand | 32.54 | 53.11 | | sink | 77.33 | 85.43 | | skyscraper | 36.3 | 46.58 | | fireplace | 79.24 | 89.41 | | refrigerator | 83.41 | 90.56 | | grandstand | 44.0 | 68.69 | | path | 12.79 | 17.54 | | stairs | 24.31 | 28.76 | | runway | 69.24 | 87.62 | | case | 63.87 | 81.82 | | pool table | 95.19 | 97.6 | | pillow | 67.77 | 77.75 | | screen door | 69.23 | 89.78 | | stairway | 25.76 | 49.07 | | river | 16.96 | 23.45 | | bridge | 75.85 | 87.45 | | bookcase | 30.92 | 53.09 | | blind | 26.72 | 28.29 | | coffee table | 71.55 | 82.84 | | toilet | 88.75 | 93.21 | | flower | 43.65 | 62.92 | | book | 50.96 | 65.76 | | hill | 7.13 | 13.99 | | bench | 64.06 | 79.09 | | countertop | 56.54 | 66.82 | | stove | 83.07 | 87.72 | | palm | 53.22 | 80.01 | | kitchen island | 49.44 | 80.08 | | computer | 72.68 | 81.37 | | swivel chair | 52.68 | 81.64 | | boat | 57.88 | 92.45 | | bar | 60.01 | 69.48 | | arcade machine | 34.36 | 36.46 | | hovel | 14.38 | 15.46 | | bus | 93.05 | 97.44 | | towel | 79.81 | 87.59 | | light | 61.66 | 77.98 | | truck | 41.75 | 62.26 | | tower | 20.91 | 35.01 | | chandelier | 71.23 | 83.11 | | awning | 40.29 | 53.58 | | streetlight | 42.69 | 68.08 | | booth | 42.93 | 48.25 | | television receiver | 75.32 | 84.35 | | airplane | 63.75 | 68.91 | | dirt track | 13.65 | 23.89 | | apparel | 38.23 | 70.73 | | pole | 32.88 | 52.16 | | land | 0.56 | 0.71 | | bannister | 16.61 | 35.68 | | escalator | 25.58 | 26.77 | | ottoman | 48.54 | 72.49 | | bottle | 29.47 | 38.69 | | buffet | 39.46 | 48.6 | | poster | 39.28 | 64.32 | | stage | 19.44 | 33.31 | | van | 48.45 | 77.7 | | ship | 3.61 | 6.74 | | fountain | 20.34 | 22.95 | | conveyer belt | 66.68 | 91.43 | | canopy | 41.17 | 58.89 | | washer | 71.73 | 75.54 | | plaything | 49.77 | 70.99 | | swimming pool | 54.1 | 70.26 | | stool | 46.7 | 74.77 | | barrel | 22.84 | 97.68 | | basket | 44.29 | 60.96 | | waterfall | 57.19 | 78.25 | | tent | 96.41 | 98.05 | | bag | 27.66 | 37.72 | | minibike | 73.3 | 88.08 | | cradle | 86.78 | 97.76 | | oven | 25.37 | 70.09 | | ball | 61.89 | 71.32 | | food | 62.76 | 73.53 | | step | 28.87 | 43.81 | | tank | 41.33 | 48.83 | | trade name | 28.6 | 33.93 | | microwave | 41.97 | 45.82 | | pot | 52.3 | 65.89 | | animal | 70.73 | 72.42 | | bicycle | 59.54 | 84.78 | | lake | 0.0 | 0.0 | | dishwasher | 78.61 | 88.83 | | screen | 47.42 | 88.85 | | blanket | 41.45 | 62.34 | | sculpture | 51.78 | 89.57 | | hood | 69.57 | 73.83 | | sconce | 60.14 | 75.84 | | vase | 53.19 | 75.31 | | traffic light | 46.51 | 71.39 | | tray | 21.3 | 35.53 | | ashcan | 47.13 | 72.56 | | fan | 69.23 | 85.7 | | pier | 37.11 | 37.76 | | crt screen | 2.83 | 6.95 | | plate | 65.61 | 80.98 | | monitor | 1.77 | 2.48 | | bulletin board | 41.64 | 73.74 | | shower | 9.38 | 19.33 | | radiator | 61.36 | 80.74 | | glass | 24.76 | 27.71 | | clock | 37.54 | 45.16 | | flag | 37.82 | 44.9 | +---------------------+-------+-------+ 2023-11-22 04:07:49,216 - mmseg - INFO - Summary: 2023-11-22 04:07:49,216 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 84.27 | 51.77 | 66.3 | +-------+-------+------+ 2023-11-22 04:07:49,217 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 04:07:49,217 - mmseg - INFO - Iter(val) [250] aAcc: 0.8427, mIoU: 0.5177, mAcc: 0.6630, IoU.wall: 0.8048, IoU.building: 0.8260, IoU.sky: 0.9500, IoU.floor: 0.8379, IoU.tree: 0.7725, IoU.ceiling: 0.8643, IoU.road: 0.8571, IoU.bed : 0.9198, IoU.windowpane: 0.6382, IoU.grass: 0.6600, IoU.cabinet: 0.6423, IoU.sidewalk: 0.6855, IoU.person: 0.8611, IoU.earth: 0.3480, IoU.door: 0.5242, IoU.table: 0.6883, IoU.mountain: 0.6456, IoU.plant: 0.5509, IoU.curtain: 0.7600, IoU.chair: 0.6690, IoU.car: 0.8729, IoU.water: 0.5450, IoU.painting: 0.7695, IoU.sofa: 0.7169, IoU.shelf: 0.4777, IoU.house: 0.2569, IoU.sea: 0.6348, IoU.mirror: 0.7066, IoU.rug: 0.6759, IoU.field: 0.2568, IoU.armchair: 0.5158, IoU.seat: 0.6669, IoU.fence: 0.4791, IoU.desk: 0.5095, IoU.rock: 0.4870, IoU.wardrobe: 0.4487, IoU.lamp: 0.7278, IoU.bathtub: 0.7894, IoU.railing: 0.3930, IoU.cushion: 0.6648, IoU.base: 0.3468, IoU.box: 0.3378, IoU.column: 0.5263, IoU.signboard: 0.4074, IoU.chest of drawers: 0.4014, IoU.counter: 0.3385, IoU.sand: 0.3254, IoU.sink: 0.7733, IoU.skyscraper: 0.3630, IoU.fireplace: 0.7924, IoU.refrigerator: 0.8341, IoU.grandstand: 0.4400, IoU.path: 0.1279, IoU.stairs: 0.2431, IoU.runway: 0.6924, IoU.case: 0.6387, IoU.pool table: 0.9519, IoU.pillow: 0.6777, IoU.screen door: 0.6923, IoU.stairway: 0.2576, IoU.river: 0.1696, IoU.bridge: 0.7585, IoU.bookcase: 0.3092, IoU.blind: 0.2672, IoU.coffee table: 0.7155, IoU.toilet: 0.8875, IoU.flower: 0.4365, IoU.book: 0.5096, IoU.hill: 0.0713, IoU.bench: 0.6406, IoU.countertop: 0.5654, IoU.stove: 0.8307, IoU.palm: 0.5322, IoU.kitchen island: 0.4944, IoU.computer: 0.7268, IoU.swivel chair: 0.5268, IoU.boat: 0.5788, IoU.bar: 0.6001, IoU.arcade machine: 0.3436, IoU.hovel: 0.1438, IoU.bus: 0.9305, IoU.towel: 0.7981, IoU.light: 0.6166, IoU.truck: 0.4175, IoU.tower: 0.2091, IoU.chandelier: 0.7123, IoU.awning: 0.4029, IoU.streetlight: 0.4269, IoU.booth: 0.4293, IoU.television receiver: 0.7532, IoU.airplane: 0.6375, IoU.dirt track: 0.1365, IoU.apparel: 0.3823, IoU.pole: 0.3288, IoU.land: 0.0056, IoU.bannister: 0.1661, IoU.escalator: 0.2558, IoU.ottoman: 0.4854, IoU.bottle: 0.2947, IoU.buffet: 0.3946, IoU.poster: 0.3928, IoU.stage: 0.1944, IoU.van: 0.4845, IoU.ship: 0.0361, IoU.fountain: 0.2034, IoU.conveyer belt: 0.6668, IoU.canopy: 0.4117, IoU.washer: 0.7173, IoU.plaything: 0.4977, IoU.swimming pool: 0.5410, IoU.stool: 0.4670, IoU.barrel: 0.2284, IoU.basket: 0.4429, IoU.waterfall: 0.5719, IoU.tent: 0.9641, IoU.bag: 0.2766, IoU.minibike: 0.7330, IoU.cradle: 0.8678, IoU.oven: 0.2537, IoU.ball: 0.6189, IoU.food: 0.6276, IoU.step: 0.2887, IoU.tank: 0.4133, IoU.trade name: 0.2860, IoU.microwave: 0.4197, IoU.pot: 0.5230, IoU.animal: 0.7073, IoU.bicycle: 0.5954, IoU.lake: 0.0000, IoU.dishwasher: 0.7861, IoU.screen: 0.4742, IoU.blanket: 0.4145, IoU.sculpture: 0.5178, IoU.hood: 0.6957, IoU.sconce: 0.6014, IoU.vase: 0.5319, IoU.traffic light: 0.4651, IoU.tray: 0.2130, IoU.ashcan: 0.4713, IoU.fan: 0.6923, IoU.pier: 0.3711, IoU.crt screen: 0.0283, IoU.plate: 0.6561, IoU.monitor: 0.0177, IoU.bulletin board: 0.4164, IoU.shower: 0.0938, IoU.radiator: 0.6136, IoU.glass: 0.2476, IoU.clock: 0.3754, IoU.flag: 0.3782, Acc.wall: 0.8785, Acc.building: 0.9209, Acc.sky: 0.9717, Acc.floor: 0.9071, Acc.tree: 0.8795, Acc.ceiling: 0.9293, Acc.road: 0.9176, Acc.bed : 0.9626, Acc.windowpane: 0.8146, Acc.grass: 0.7620, Acc.cabinet: 0.7584, Acc.sidewalk: 0.8376, Acc.person: 0.9370, Acc.earth: 0.4225, Acc.door: 0.7352, Acc.table: 0.8401, Acc.mountain: 0.8179, Acc.plant: 0.7284, Acc.curtain: 0.9051, Acc.chair: 0.7686, Acc.car: 0.9272, Acc.water: 0.7079, Acc.painting: 0.8805, Acc.sofa: 0.8708, Acc.shelf: 0.6780, Acc.house: 0.3313, Acc.sea: 0.9027, Acc.mirror: 0.8400, Acc.rug: 0.8159, Acc.field: 0.6653, Acc.armchair: 0.6680, Acc.seat: 0.8844, Acc.fence: 0.7045, Acc.desk: 0.7087, Acc.rock: 0.6105, Acc.wardrobe: 0.6388, Acc.lamp: 0.8528, Acc.bathtub: 0.8656, Acc.railing: 0.5881, Acc.cushion: 0.7522, Acc.base: 0.7227, Acc.box: 0.4131, Acc.column: 0.7404, Acc.signboard: 0.6205, Acc.chest of drawers: 0.5956, Acc.counter: 0.3946, Acc.sand: 0.5311, Acc.sink: 0.8543, Acc.skyscraper: 0.4658, Acc.fireplace: 0.8941, Acc.refrigerator: 0.9056, Acc.grandstand: 0.6869, Acc.path: 0.1754, Acc.stairs: 0.2876, Acc.runway: 0.8762, Acc.case: 0.8182, Acc.pool table: 0.9760, Acc.pillow: 0.7775, Acc.screen door: 0.8978, Acc.stairway: 0.4907, Acc.river: 0.2345, Acc.bridge: 0.8745, Acc.bookcase: 0.5309, Acc.blind: 0.2829, Acc.coffee table: 0.8284, Acc.toilet: 0.9321, Acc.flower: 0.6292, Acc.book: 0.6576, Acc.hill: 0.1399, Acc.bench: 0.7909, Acc.countertop: 0.6682, Acc.stove: 0.8772, Acc.palm: 0.8001, Acc.kitchen island: 0.8008, Acc.computer: 0.8137, Acc.swivel chair: 0.8164, Acc.boat: 0.9245, Acc.bar: 0.6948, Acc.arcade machine: 0.3646, Acc.hovel: 0.1546, Acc.bus: 0.9744, Acc.towel: 0.8759, Acc.light: 0.7798, Acc.truck: 0.6226, Acc.tower: 0.3501, Acc.chandelier: 0.8311, Acc.awning: 0.5358, Acc.streetlight: 0.6808, Acc.booth: 0.4825, Acc.television receiver: 0.8435, Acc.airplane: 0.6891, Acc.dirt track: 0.2389, Acc.apparel: 0.7073, Acc.pole: 0.5216, Acc.land: 0.0071, Acc.bannister: 0.3568, Acc.escalator: 0.2677, Acc.ottoman: 0.7249, Acc.bottle: 0.3869, Acc.buffet: 0.4860, Acc.poster: 0.6432, Acc.stage: 0.3331, Acc.van: 0.7770, Acc.ship: 0.0674, Acc.fountain: 0.2295, Acc.conveyer belt: 0.9143, Acc.canopy: 0.5889, Acc.washer: 0.7554, Acc.plaything: 0.7099, Acc.swimming pool: 0.7026, Acc.stool: 0.7477, Acc.barrel: 0.9768, Acc.basket: 0.6096, Acc.waterfall: 0.7825, Acc.tent: 0.9805, Acc.bag: 0.3772, Acc.minibike: 0.8808, Acc.cradle: 0.9776, Acc.oven: 0.7009, Acc.ball: 0.7132, Acc.food: 0.7353, Acc.step: 0.4381, Acc.tank: 0.4883, Acc.trade name: 0.3393, Acc.microwave: 0.4582, Acc.pot: 0.6589, Acc.animal: 0.7242, Acc.bicycle: 0.8478, Acc.lake: 0.0000, Acc.dishwasher: 0.8883, Acc.screen: 0.8885, Acc.blanket: 0.6234, Acc.sculpture: 0.8957, Acc.hood: 0.7383, Acc.sconce: 0.7584, Acc.vase: 0.7531, Acc.traffic light: 0.7139, Acc.tray: 0.3553, Acc.ashcan: 0.7256, Acc.fan: 0.8570, Acc.pier: 0.3776, Acc.crt screen: 0.0695, Acc.plate: 0.8098, Acc.monitor: 0.0248, Acc.bulletin board: 0.7374, Acc.shower: 0.1933, Acc.radiator: 0.8074, Acc.glass: 0.2771, Acc.clock: 0.4516, Acc.flag: 0.4490 2023-11-22 04:08:17,651 - mmseg - INFO - Iter [42050/160000] lr: 7.022e-06, eta: 19:18:00, time: 0.959, data_time: 0.403, memory: 38143, decode.loss_cls: 0.4329, decode.loss_mask: 0.5950, decode.loss_dice: 0.8699, decode.d0.loss_cls: 1.5874, decode.d0.loss_mask: 0.6332, decode.d0.loss_dice: 1.0000, decode.d1.loss_cls: 0.5293, decode.d1.loss_mask: 0.6179, decode.d1.loss_dice: 0.9252, decode.d2.loss_cls: 0.4615, decode.d2.loss_mask: 0.6081, decode.d2.loss_dice: 0.8937, decode.d3.loss_cls: 0.4459, decode.d3.loss_mask: 0.5996, decode.d3.loss_dice: 0.8785, decode.d4.loss_cls: 0.4398, decode.d4.loss_mask: 0.5989, decode.d4.loss_dice: 0.8802, decode.d5.loss_cls: 0.4392, decode.d5.loss_mask: 0.5985, decode.d5.loss_dice: 0.8826, decode.d6.loss_cls: 0.4296, decode.d6.loss_mask: 0.5952, decode.d6.loss_dice: 0.8721, decode.d7.loss_cls: 0.4261, decode.d7.loss_mask: 0.5924, decode.d7.loss_dice: 0.8766, decode.d8.loss_cls: 0.4246, decode.d8.loss_mask: 0.5938, decode.d8.loss_dice: 0.8719, loss: 20.5997, grad_norm: 79.3112 2023-11-22 04:08:45,801 - mmseg - INFO - Iter [42100/160000] lr: 7.019e-06, eta: 19:17:27, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4468, decode.loss_mask: 0.6060, decode.loss_dice: 0.8682, decode.d0.loss_cls: 1.5957, decode.d0.loss_mask: 0.6436, decode.d0.loss_dice: 1.0109, decode.d1.loss_cls: 0.5405, decode.d1.loss_mask: 0.6323, decode.d1.loss_dice: 0.9335, decode.d2.loss_cls: 0.4799, decode.d2.loss_mask: 0.6190, decode.d2.loss_dice: 0.9060, decode.d3.loss_cls: 0.4635, decode.d3.loss_mask: 0.6135, decode.d3.loss_dice: 0.8820, decode.d4.loss_cls: 0.4480, decode.d4.loss_mask: 0.6145, decode.d4.loss_dice: 0.8875, decode.d5.loss_cls: 0.4466, decode.d5.loss_mask: 0.6155, decode.d5.loss_dice: 0.8875, decode.d6.loss_cls: 0.4474, decode.d6.loss_mask: 0.6074, decode.d6.loss_dice: 0.8689, decode.d7.loss_cls: 0.4341, decode.d7.loss_mask: 0.6102, decode.d7.loss_dice: 0.8762, decode.d8.loss_cls: 0.4412, decode.d8.loss_mask: 0.6110, decode.d8.loss_dice: 0.8741, loss: 20.9117, grad_norm: 72.1730 2023-11-22 04:09:14,207 - mmseg - INFO - Iter [42150/160000] lr: 7.016e-06, eta: 19:16:54, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4077, decode.loss_mask: 0.5823, decode.loss_dice: 0.8474, decode.d0.loss_cls: 1.6018, decode.d0.loss_mask: 0.6146, decode.d0.loss_dice: 0.9691, decode.d1.loss_cls: 0.5224, decode.d1.loss_mask: 0.6067, decode.d1.loss_dice: 0.9095, decode.d2.loss_cls: 0.4607, decode.d2.loss_mask: 0.5869, decode.d2.loss_dice: 0.8731, decode.d3.loss_cls: 0.4394, decode.d3.loss_mask: 0.5841, decode.d3.loss_dice: 0.8473, decode.d4.loss_cls: 0.4301, decode.d4.loss_mask: 0.5833, decode.d4.loss_dice: 0.8479, decode.d5.loss_cls: 0.4258, decode.d5.loss_mask: 0.5837, decode.d5.loss_dice: 0.8511, decode.d6.loss_cls: 0.4214, decode.d6.loss_mask: 0.5801, decode.d6.loss_dice: 0.8456, decode.d7.loss_cls: 0.4161, decode.d7.loss_mask: 0.5801, decode.d7.loss_dice: 0.8427, decode.d8.loss_cls: 0.4097, decode.d8.loss_mask: 0.5803, decode.d8.loss_dice: 0.8461, loss: 20.0972, grad_norm: 79.3301 2023-11-22 04:09:42,915 - mmseg - INFO - Iter [42200/160000] lr: 7.013e-06, eta: 19:16:23, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4081, decode.loss_mask: 0.5768, decode.loss_dice: 0.8798, decode.d0.loss_cls: 1.5896, decode.d0.loss_mask: 0.6144, decode.d0.loss_dice: 1.0144, decode.d1.loss_cls: 0.5250, decode.d1.loss_mask: 0.6038, decode.d1.loss_dice: 0.9461, decode.d2.loss_cls: 0.4581, decode.d2.loss_mask: 0.5896, decode.d2.loss_dice: 0.9073, decode.d3.loss_cls: 0.4382, decode.d3.loss_mask: 0.5795, decode.d3.loss_dice: 0.8864, decode.d4.loss_cls: 0.4285, decode.d4.loss_mask: 0.5820, decode.d4.loss_dice: 0.8864, decode.d5.loss_cls: 0.4274, decode.d5.loss_mask: 0.5819, decode.d5.loss_dice: 0.8802, decode.d6.loss_cls: 0.4201, decode.d6.loss_mask: 0.5762, decode.d6.loss_dice: 0.8791, decode.d7.loss_cls: 0.4162, decode.d7.loss_mask: 0.5773, decode.d7.loss_dice: 0.8832, decode.d8.loss_cls: 0.4122, decode.d8.loss_mask: 0.5785, decode.d8.loss_dice: 0.8806, loss: 20.4269, grad_norm: 74.1174 2023-11-22 04:10:11,287 - mmseg - INFO - Iter [42250/160000] lr: 7.010e-06, eta: 19:15:50, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4236, decode.loss_mask: 0.6135, decode.loss_dice: 0.8803, decode.d0.loss_cls: 1.5871, decode.d0.loss_mask: 0.6499, decode.d0.loss_dice: 1.0062, decode.d1.loss_cls: 0.5343, decode.d1.loss_mask: 0.6321, decode.d1.loss_dice: 0.9407, decode.d2.loss_cls: 0.4710, decode.d2.loss_mask: 0.6176, decode.d2.loss_dice: 0.9091, decode.d3.loss_cls: 0.4500, decode.d3.loss_mask: 0.6105, decode.d3.loss_dice: 0.8787, decode.d4.loss_cls: 0.4388, decode.d4.loss_mask: 0.6155, decode.d4.loss_dice: 0.8859, decode.d5.loss_cls: 0.4355, decode.d5.loss_mask: 0.6115, decode.d5.loss_dice: 0.8781, decode.d6.loss_cls: 0.4276, decode.d6.loss_mask: 0.6153, decode.d6.loss_dice: 0.8784, decode.d7.loss_cls: 0.4330, decode.d7.loss_mask: 0.6113, decode.d7.loss_dice: 0.8760, decode.d8.loss_cls: 0.4211, decode.d8.loss_mask: 0.6121, decode.d8.loss_dice: 0.8772, loss: 20.8221, grad_norm: 74.4716 2023-11-22 04:10:39,773 - mmseg - INFO - Iter [42300/160000] lr: 7.007e-06, eta: 19:15:18, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4263, decode.loss_mask: 0.5996, decode.loss_dice: 0.8478, decode.d0.loss_cls: 1.6057, decode.d0.loss_mask: 0.6456, decode.d0.loss_dice: 0.9763, decode.d1.loss_cls: 0.5225, decode.d1.loss_mask: 0.6312, decode.d1.loss_dice: 0.9116, decode.d2.loss_cls: 0.4586, decode.d2.loss_mask: 0.6199, decode.d2.loss_dice: 0.8838, decode.d3.loss_cls: 0.4413, decode.d3.loss_mask: 0.6040, decode.d3.loss_dice: 0.8541, decode.d4.loss_cls: 0.4227, decode.d4.loss_mask: 0.6066, decode.d4.loss_dice: 0.8571, decode.d5.loss_cls: 0.4260, decode.d5.loss_mask: 0.6053, decode.d5.loss_dice: 0.8619, decode.d6.loss_cls: 0.4261, decode.d6.loss_mask: 0.6052, decode.d6.loss_dice: 0.8526, decode.d7.loss_cls: 0.4227, decode.d7.loss_mask: 0.6086, decode.d7.loss_dice: 0.8516, decode.d8.loss_cls: 0.4218, decode.d8.loss_mask: 0.6070, decode.d8.loss_dice: 0.8533, loss: 20.4567, grad_norm: 77.3064 2023-11-22 04:11:08,072 - mmseg - INFO - Iter [42350/160000] lr: 7.004e-06, eta: 19:14:46, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4625, decode.loss_mask: 0.5719, decode.loss_dice: 0.8689, decode.d0.loss_cls: 1.6820, decode.d0.loss_mask: 0.6111, decode.d0.loss_dice: 1.0121, decode.d1.loss_cls: 0.5728, decode.d1.loss_mask: 0.5915, decode.d1.loss_dice: 0.9348, decode.d2.loss_cls: 0.5098, decode.d2.loss_mask: 0.5799, decode.d2.loss_dice: 0.8991, decode.d3.loss_cls: 0.4848, decode.d3.loss_mask: 0.5733, decode.d3.loss_dice: 0.8770, decode.d4.loss_cls: 0.4744, decode.d4.loss_mask: 0.5711, decode.d4.loss_dice: 0.8832, decode.d5.loss_cls: 0.4722, decode.d5.loss_mask: 0.5706, decode.d5.loss_dice: 0.8747, decode.d6.loss_cls: 0.4652, decode.d6.loss_mask: 0.5692, decode.d6.loss_dice: 0.8702, decode.d7.loss_cls: 0.4601, decode.d7.loss_mask: 0.5690, decode.d7.loss_dice: 0.8756, decode.d8.loss_cls: 0.4637, decode.d8.loss_mask: 0.5675, decode.d8.loss_dice: 0.8715, loss: 20.7899, grad_norm: 71.3259 2023-11-22 04:11:36,495 - mmseg - INFO - Iter [42400/160000] lr: 7.001e-06, eta: 19:14:13, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4648, decode.loss_mask: 0.5990, decode.loss_dice: 0.8982, decode.d0.loss_cls: 1.6221, decode.d0.loss_mask: 0.6382, decode.d0.loss_dice: 1.0362, decode.d1.loss_cls: 0.5746, decode.d1.loss_mask: 0.6193, decode.d1.loss_dice: 0.9547, decode.d2.loss_cls: 0.5079, decode.d2.loss_mask: 0.6083, decode.d2.loss_dice: 0.9304, decode.d3.loss_cls: 0.4834, decode.d3.loss_mask: 0.6030, decode.d3.loss_dice: 0.9048, decode.d4.loss_cls: 0.4738, decode.d4.loss_mask: 0.6023, decode.d4.loss_dice: 0.9050, decode.d5.loss_cls: 0.4660, decode.d5.loss_mask: 0.6022, decode.d5.loss_dice: 0.9011, decode.d6.loss_cls: 0.4639, decode.d6.loss_mask: 0.5970, decode.d6.loss_dice: 0.8927, decode.d7.loss_cls: 0.4608, decode.d7.loss_mask: 0.5999, decode.d7.loss_dice: 0.8963, decode.d8.loss_cls: 0.4571, decode.d8.loss_mask: 0.6017, decode.d8.loss_dice: 0.8960, loss: 21.2607, grad_norm: 75.2518 2023-11-22 04:12:04,879 - mmseg - INFO - Iter [42450/160000] lr: 6.998e-06, eta: 19:13:41, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4174, decode.loss_mask: 0.6021, decode.loss_dice: 0.8602, decode.d0.loss_cls: 1.5980, decode.d0.loss_mask: 0.6450, decode.d0.loss_dice: 0.9918, decode.d1.loss_cls: 0.5313, decode.d1.loss_mask: 0.6259, decode.d1.loss_dice: 0.9197, decode.d2.loss_cls: 0.4581, decode.d2.loss_mask: 0.6113, decode.d2.loss_dice: 0.8856, decode.d3.loss_cls: 0.4415, decode.d3.loss_mask: 0.6089, decode.d3.loss_dice: 0.8743, decode.d4.loss_cls: 0.4276, decode.d4.loss_mask: 0.6102, decode.d4.loss_dice: 0.8708, decode.d5.loss_cls: 0.4295, decode.d5.loss_mask: 0.6044, decode.d5.loss_dice: 0.8686, decode.d6.loss_cls: 0.4235, decode.d6.loss_mask: 0.6018, decode.d6.loss_dice: 0.8621, decode.d7.loss_cls: 0.4260, decode.d7.loss_mask: 0.6011, decode.d7.loss_dice: 0.8586, decode.d8.loss_cls: 0.4233, decode.d8.loss_mask: 0.6030, decode.d8.loss_dice: 0.8603, loss: 20.5419, grad_norm: 72.2318 2023-11-22 04:12:33,558 - mmseg - INFO - Iter [42500/160000] lr: 6.995e-06, eta: 19:13:09, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4111, decode.loss_mask: 0.5769, decode.loss_dice: 0.8897, decode.d0.loss_cls: 1.6008, decode.d0.loss_mask: 0.6145, decode.d0.loss_dice: 1.0134, decode.d1.loss_cls: 0.5208, decode.d1.loss_mask: 0.6056, decode.d1.loss_dice: 0.9474, decode.d2.loss_cls: 0.4589, decode.d2.loss_mask: 0.5896, decode.d2.loss_dice: 0.9212, decode.d3.loss_cls: 0.4373, decode.d3.loss_mask: 0.5845, decode.d3.loss_dice: 0.8974, decode.d4.loss_cls: 0.4252, decode.d4.loss_mask: 0.5821, decode.d4.loss_dice: 0.8971, decode.d5.loss_cls: 0.4230, decode.d5.loss_mask: 0.5806, decode.d5.loss_dice: 0.8960, decode.d6.loss_cls: 0.4179, decode.d6.loss_mask: 0.5767, decode.d6.loss_dice: 0.8899, decode.d7.loss_cls: 0.4118, decode.d7.loss_mask: 0.5786, decode.d7.loss_dice: 0.8911, decode.d8.loss_cls: 0.4117, decode.d8.loss_mask: 0.5775, decode.d8.loss_dice: 0.8883, loss: 20.5165, grad_norm: 68.8595 2023-11-22 04:13:01,932 - mmseg - INFO - Iter [42550/160000] lr: 6.992e-06, eta: 19:12:37, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4360, decode.loss_mask: 0.5882, decode.loss_dice: 0.8655, decode.d0.loss_cls: 1.6241, decode.d0.loss_mask: 0.6286, decode.d0.loss_dice: 0.9981, decode.d1.loss_cls: 0.5562, decode.d1.loss_mask: 0.6163, decode.d1.loss_dice: 0.9126, decode.d2.loss_cls: 0.4776, decode.d2.loss_mask: 0.6058, decode.d2.loss_dice: 0.8908, decode.d3.loss_cls: 0.4568, decode.d3.loss_mask: 0.5941, decode.d3.loss_dice: 0.8712, decode.d4.loss_cls: 0.4506, decode.d4.loss_mask: 0.5926, decode.d4.loss_dice: 0.8683, decode.d5.loss_cls: 0.4404, decode.d5.loss_mask: 0.5906, decode.d5.loss_dice: 0.8644, decode.d6.loss_cls: 0.4404, decode.d6.loss_mask: 0.5894, decode.d6.loss_dice: 0.8625, decode.d7.loss_cls: 0.4320, decode.d7.loss_mask: 0.5896, decode.d7.loss_dice: 0.8647, decode.d8.loss_cls: 0.4319, decode.d8.loss_mask: 0.5919, decode.d8.loss_dice: 0.8683, loss: 20.5995, grad_norm: 70.0135 2023-11-22 04:13:30,229 - mmseg - INFO - Iter [42600/160000] lr: 6.989e-06, eta: 19:12:04, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4441, decode.loss_mask: 0.6231, decode.loss_dice: 0.8923, decode.d0.loss_cls: 1.6291, decode.d0.loss_mask: 0.6629, decode.d0.loss_dice: 1.0200, decode.d1.loss_cls: 0.5533, decode.d1.loss_mask: 0.6438, decode.d1.loss_dice: 0.9539, decode.d2.loss_cls: 0.4849, decode.d2.loss_mask: 0.6333, decode.d2.loss_dice: 0.9200, decode.d3.loss_cls: 0.4639, decode.d3.loss_mask: 0.6251, decode.d3.loss_dice: 0.9003, decode.d4.loss_cls: 0.4528, decode.d4.loss_mask: 0.6266, decode.d4.loss_dice: 0.9051, decode.d5.loss_cls: 0.4494, decode.d5.loss_mask: 0.6241, decode.d5.loss_dice: 0.8972, decode.d6.loss_cls: 0.4421, decode.d6.loss_mask: 0.6237, decode.d6.loss_dice: 0.8973, decode.d7.loss_cls: 0.4375, decode.d7.loss_mask: 0.6273, decode.d7.loss_dice: 0.8988, decode.d8.loss_cls: 0.4385, decode.d8.loss_mask: 0.6283, decode.d8.loss_dice: 0.8969, loss: 21.2955, grad_norm: 70.9834 2023-11-22 04:13:58,619 - mmseg - INFO - Iter [42650/160000] lr: 6.986e-06, eta: 19:11:32, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4122, decode.loss_mask: 0.5687, decode.loss_dice: 0.8420, decode.d0.loss_cls: 1.6082, decode.d0.loss_mask: 0.6080, decode.d0.loss_dice: 0.9797, decode.d1.loss_cls: 0.5207, decode.d1.loss_mask: 0.5923, decode.d1.loss_dice: 0.8899, decode.d2.loss_cls: 0.4572, decode.d2.loss_mask: 0.5785, decode.d2.loss_dice: 0.8608, decode.d3.loss_cls: 0.4347, decode.d3.loss_mask: 0.5696, decode.d3.loss_dice: 0.8545, decode.d4.loss_cls: 0.4219, decode.d4.loss_mask: 0.5717, decode.d4.loss_dice: 0.8488, decode.d5.loss_cls: 0.4194, decode.d5.loss_mask: 0.5707, decode.d5.loss_dice: 0.8472, decode.d6.loss_cls: 0.4232, decode.d6.loss_mask: 0.5686, decode.d6.loss_dice: 0.8418, decode.d7.loss_cls: 0.4197, decode.d7.loss_mask: 0.5699, decode.d7.loss_dice: 0.8439, decode.d8.loss_cls: 0.4164, decode.d8.loss_mask: 0.5719, decode.d8.loss_dice: 0.8420, loss: 19.9542, grad_norm: 72.8958 2023-11-22 04:14:26,851 - mmseg - INFO - Iter [42700/160000] lr: 6.983e-06, eta: 19:10:59, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4035, decode.loss_mask: 0.6153, decode.loss_dice: 0.8693, decode.d0.loss_cls: 1.5881, decode.d0.loss_mask: 0.6478, decode.d0.loss_dice: 0.9962, decode.d1.loss_cls: 0.5193, decode.d1.loss_mask: 0.6289, decode.d1.loss_dice: 0.9257, decode.d2.loss_cls: 0.4606, decode.d2.loss_mask: 0.6227, decode.d2.loss_dice: 0.8933, decode.d3.loss_cls: 0.4371, decode.d3.loss_mask: 0.6137, decode.d3.loss_dice: 0.8780, decode.d4.loss_cls: 0.4228, decode.d4.loss_mask: 0.6137, decode.d4.loss_dice: 0.8744, decode.d5.loss_cls: 0.4161, decode.d5.loss_mask: 0.6135, decode.d5.loss_dice: 0.8733, decode.d6.loss_cls: 0.4183, decode.d6.loss_mask: 0.6073, decode.d6.loss_dice: 0.8667, decode.d7.loss_cls: 0.4154, decode.d7.loss_mask: 0.6085, decode.d7.loss_dice: 0.8662, decode.d8.loss_cls: 0.4084, decode.d8.loss_mask: 0.6117, decode.d8.loss_dice: 0.8675, loss: 20.5834, grad_norm: 70.8267 2023-11-22 04:14:55,438 - mmseg - INFO - Iter [42750/160000] lr: 6.980e-06, eta: 19:10:27, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4177, decode.loss_mask: 0.5951, decode.loss_dice: 0.8650, decode.d0.loss_cls: 1.6045, decode.d0.loss_mask: 0.6362, decode.d0.loss_dice: 1.0083, decode.d1.loss_cls: 0.5196, decode.d1.loss_mask: 0.6245, decode.d1.loss_dice: 0.9244, decode.d2.loss_cls: 0.4579, decode.d2.loss_mask: 0.6100, decode.d2.loss_dice: 0.8909, decode.d3.loss_cls: 0.4432, decode.d3.loss_mask: 0.6022, decode.d3.loss_dice: 0.8665, decode.d4.loss_cls: 0.4342, decode.d4.loss_mask: 0.6015, decode.d4.loss_dice: 0.8721, decode.d5.loss_cls: 0.4235, decode.d5.loss_mask: 0.6015, decode.d5.loss_dice: 0.8727, decode.d6.loss_cls: 0.4216, decode.d6.loss_mask: 0.5953, decode.d6.loss_dice: 0.8584, decode.d7.loss_cls: 0.4161, decode.d7.loss_mask: 0.5943, decode.d7.loss_dice: 0.8648, decode.d8.loss_cls: 0.4244, decode.d8.loss_mask: 0.5958, decode.d8.loss_dice: 0.8643, loss: 20.5066, grad_norm: 69.4015 2023-11-22 04:15:23,864 - mmseg - INFO - Iter [42800/160000] lr: 6.977e-06, eta: 19:09:55, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4179, decode.loss_mask: 0.5866, decode.loss_dice: 0.8741, decode.d0.loss_cls: 1.5863, decode.d0.loss_mask: 0.6297, decode.d0.loss_dice: 1.0126, decode.d1.loss_cls: 0.5270, decode.d1.loss_mask: 0.6157, decode.d1.loss_dice: 0.9323, decode.d2.loss_cls: 0.4624, decode.d2.loss_mask: 0.5970, decode.d2.loss_dice: 0.9010, decode.d3.loss_cls: 0.4458, decode.d3.loss_mask: 0.5861, decode.d3.loss_dice: 0.8792, decode.d4.loss_cls: 0.4339, decode.d4.loss_mask: 0.5932, decode.d4.loss_dice: 0.8799, decode.d5.loss_cls: 0.4297, decode.d5.loss_mask: 0.5931, decode.d5.loss_dice: 0.8839, decode.d6.loss_cls: 0.4223, decode.d6.loss_mask: 0.5881, decode.d6.loss_dice: 0.8740, decode.d7.loss_cls: 0.4170, decode.d7.loss_mask: 0.5896, decode.d7.loss_dice: 0.8716, decode.d8.loss_cls: 0.4163, decode.d8.loss_mask: 0.5888, decode.d8.loss_dice: 0.8765, loss: 20.5115, grad_norm: 68.4767 2023-11-22 04:15:52,127 - mmseg - INFO - Iter [42850/160000] lr: 6.974e-06, eta: 19:09:23, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4131, decode.loss_mask: 0.6047, decode.loss_dice: 0.8890, decode.d0.loss_cls: 1.6017, decode.d0.loss_mask: 0.6465, decode.d0.loss_dice: 1.0148, decode.d1.loss_cls: 0.5255, decode.d1.loss_mask: 0.6337, decode.d1.loss_dice: 0.9493, decode.d2.loss_cls: 0.4589, decode.d2.loss_mask: 0.6209, decode.d2.loss_dice: 0.9245, decode.d3.loss_cls: 0.4340, decode.d3.loss_mask: 0.6122, decode.d3.loss_dice: 0.8975, decode.d4.loss_cls: 0.4259, decode.d4.loss_mask: 0.6160, decode.d4.loss_dice: 0.9001, decode.d5.loss_cls: 0.4252, decode.d5.loss_mask: 0.6151, decode.d5.loss_dice: 0.8980, decode.d6.loss_cls: 0.4210, decode.d6.loss_mask: 0.6121, decode.d6.loss_dice: 0.8889, decode.d7.loss_cls: 0.4182, decode.d7.loss_mask: 0.6095, decode.d7.loss_dice: 0.8869, decode.d8.loss_cls: 0.4149, decode.d8.loss_mask: 0.6083, decode.d8.loss_dice: 0.8879, loss: 20.8545, grad_norm: 74.4765 2023-11-22 04:16:20,626 - mmseg - INFO - Iter [42900/160000] lr: 6.971e-06, eta: 19:08:51, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4159, decode.loss_mask: 0.5929, decode.loss_dice: 0.8704, decode.d0.loss_cls: 1.6133, decode.d0.loss_mask: 0.6279, decode.d0.loss_dice: 1.0151, decode.d1.loss_cls: 0.5458, decode.d1.loss_mask: 0.6153, decode.d1.loss_dice: 0.9307, decode.d2.loss_cls: 0.4724, decode.d2.loss_mask: 0.6012, decode.d2.loss_dice: 0.9004, decode.d3.loss_cls: 0.4478, decode.d3.loss_mask: 0.5936, decode.d3.loss_dice: 0.8772, decode.d4.loss_cls: 0.4345, decode.d4.loss_mask: 0.5962, decode.d4.loss_dice: 0.8903, decode.d5.loss_cls: 0.4385, decode.d5.loss_mask: 0.5930, decode.d5.loss_dice: 0.8801, decode.d6.loss_cls: 0.4188, decode.d6.loss_mask: 0.5936, decode.d6.loss_dice: 0.8757, decode.d7.loss_cls: 0.4221, decode.d7.loss_mask: 0.5897, decode.d7.loss_dice: 0.8763, decode.d8.loss_cls: 0.4191, decode.d8.loss_mask: 0.5909, decode.d8.loss_dice: 0.8774, loss: 20.6163, grad_norm: 74.8444 2023-11-22 04:16:51,073 - mmseg - INFO - Iter [42950/160000] lr: 6.968e-06, eta: 19:08:24, time: 0.609, data_time: 0.058, memory: 38143, decode.loss_cls: 0.4250, decode.loss_mask: 0.5909, decode.loss_dice: 0.8478, decode.d0.loss_cls: 1.5752, decode.d0.loss_mask: 0.6375, decode.d0.loss_dice: 0.9838, decode.d1.loss_cls: 0.5251, decode.d1.loss_mask: 0.6240, decode.d1.loss_dice: 0.9053, decode.d2.loss_cls: 0.4599, decode.d2.loss_mask: 0.6041, decode.d2.loss_dice: 0.8768, decode.d3.loss_cls: 0.4519, decode.d3.loss_mask: 0.5983, decode.d3.loss_dice: 0.8560, decode.d4.loss_cls: 0.4367, decode.d4.loss_mask: 0.5949, decode.d4.loss_dice: 0.8557, decode.d5.loss_cls: 0.4386, decode.d5.loss_mask: 0.5941, decode.d5.loss_dice: 0.8509, decode.d6.loss_cls: 0.4289, decode.d6.loss_mask: 0.5945, decode.d6.loss_dice: 0.8477, decode.d7.loss_cls: 0.4224, decode.d7.loss_mask: 0.5934, decode.d7.loss_dice: 0.8432, decode.d8.loss_cls: 0.4246, decode.d8.loss_mask: 0.5935, decode.d8.loss_dice: 0.8484, loss: 20.3290, grad_norm: 73.0381 2023-11-22 04:17:19,269 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 04:17:19,269 - mmseg - INFO - Iter [43000/160000] lr: 6.965e-06, eta: 19:07:51, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4204, decode.loss_mask: 0.6100, decode.loss_dice: 0.8894, decode.d0.loss_cls: 1.5941, decode.d0.loss_mask: 0.6490, decode.d0.loss_dice: 1.0225, decode.d1.loss_cls: 0.5212, decode.d1.loss_mask: 0.6351, decode.d1.loss_dice: 0.9544, decode.d2.loss_cls: 0.4646, decode.d2.loss_mask: 0.6197, decode.d2.loss_dice: 0.9187, decode.d3.loss_cls: 0.4409, decode.d3.loss_mask: 0.6151, decode.d3.loss_dice: 0.8925, decode.d4.loss_cls: 0.4288, decode.d4.loss_mask: 0.6132, decode.d4.loss_dice: 0.8977, decode.d5.loss_cls: 0.4218, decode.d5.loss_mask: 0.6127, decode.d5.loss_dice: 0.8946, decode.d6.loss_cls: 0.4246, decode.d6.loss_mask: 0.6098, decode.d6.loss_dice: 0.8892, decode.d7.loss_cls: 0.4243, decode.d7.loss_mask: 0.6141, decode.d7.loss_dice: 0.8846, decode.d8.loss_cls: 0.4247, decode.d8.loss_mask: 0.6116, decode.d8.loss_dice: 0.8886, loss: 20.8879, grad_norm: 75.7912 2023-11-22 04:17:47,820 - mmseg - INFO - Iter [43050/160000] lr: 6.962e-06, eta: 19:07:19, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4138, decode.loss_mask: 0.5792, decode.loss_dice: 0.8643, decode.d0.loss_cls: 1.5980, decode.d0.loss_mask: 0.6153, decode.d0.loss_dice: 1.0009, decode.d1.loss_cls: 0.5202, decode.d1.loss_mask: 0.5988, decode.d1.loss_dice: 0.9267, decode.d2.loss_cls: 0.4597, decode.d2.loss_mask: 0.5896, decode.d2.loss_dice: 0.8950, decode.d3.loss_cls: 0.4462, decode.d3.loss_mask: 0.5827, decode.d3.loss_dice: 0.8753, decode.d4.loss_cls: 0.4355, decode.d4.loss_mask: 0.5805, decode.d4.loss_dice: 0.8709, decode.d5.loss_cls: 0.4250, decode.d5.loss_mask: 0.5805, decode.d5.loss_dice: 0.8713, decode.d6.loss_cls: 0.4187, decode.d6.loss_mask: 0.5789, decode.d6.loss_dice: 0.8643, decode.d7.loss_cls: 0.4134, decode.d7.loss_mask: 0.5799, decode.d7.loss_dice: 0.8668, decode.d8.loss_cls: 0.4167, decode.d8.loss_mask: 0.5770, decode.d8.loss_dice: 0.8644, loss: 20.3093, grad_norm: 68.5076 2023-11-22 04:18:16,124 - mmseg - INFO - Iter [43100/160000] lr: 6.959e-06, eta: 19:06:47, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4384, decode.loss_mask: 0.6117, decode.loss_dice: 0.8790, decode.d0.loss_cls: 1.5859, decode.d0.loss_mask: 0.6523, decode.d0.loss_dice: 1.0253, decode.d1.loss_cls: 0.5433, decode.d1.loss_mask: 0.6437, decode.d1.loss_dice: 0.9411, decode.d2.loss_cls: 0.4744, decode.d2.loss_mask: 0.6241, decode.d2.loss_dice: 0.9106, decode.d3.loss_cls: 0.4541, decode.d3.loss_mask: 0.6160, decode.d3.loss_dice: 0.8947, decode.d4.loss_cls: 0.4408, decode.d4.loss_mask: 0.6190, decode.d4.loss_dice: 0.8957, decode.d5.loss_cls: 0.4402, decode.d5.loss_mask: 0.6191, decode.d5.loss_dice: 0.8880, decode.d6.loss_cls: 0.4398, decode.d6.loss_mask: 0.6172, decode.d6.loss_dice: 0.8836, decode.d7.loss_cls: 0.4392, decode.d7.loss_mask: 0.6132, decode.d7.loss_dice: 0.8820, decode.d8.loss_cls: 0.4400, decode.d8.loss_mask: 0.6107, decode.d8.loss_dice: 0.8785, loss: 21.0016, grad_norm: 73.2363 2023-11-22 04:18:44,214 - mmseg - INFO - Iter [43150/160000] lr: 6.956e-06, eta: 19:06:14, time: 0.562, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4116, decode.loss_mask: 0.6298, decode.loss_dice: 0.8857, decode.d0.loss_cls: 1.5788, decode.d0.loss_mask: 0.6724, decode.d0.loss_dice: 1.0269, decode.d1.loss_cls: 0.5107, decode.d1.loss_mask: 0.6551, decode.d1.loss_dice: 0.9604, decode.d2.loss_cls: 0.4485, decode.d2.loss_mask: 0.6414, decode.d2.loss_dice: 0.9168, decode.d3.loss_cls: 0.4312, decode.d3.loss_mask: 0.6372, decode.d3.loss_dice: 0.9060, decode.d4.loss_cls: 0.4182, decode.d4.loss_mask: 0.6340, decode.d4.loss_dice: 0.9003, decode.d5.loss_cls: 0.4186, decode.d5.loss_mask: 0.6326, decode.d5.loss_dice: 0.8978, decode.d6.loss_cls: 0.4159, decode.d6.loss_mask: 0.6274, decode.d6.loss_dice: 0.8892, decode.d7.loss_cls: 0.4108, decode.d7.loss_mask: 0.6326, decode.d7.loss_dice: 0.8946, decode.d8.loss_cls: 0.4132, decode.d8.loss_mask: 0.6332, decode.d8.loss_dice: 0.8918, loss: 21.0225, grad_norm: 75.7590 2023-11-22 04:19:12,490 - mmseg - INFO - Iter [43200/160000] lr: 6.953e-06, eta: 19:05:41, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3967, decode.loss_mask: 0.6209, decode.loss_dice: 0.8752, decode.d0.loss_cls: 1.6029, decode.d0.loss_mask: 0.6489, decode.d0.loss_dice: 1.0157, decode.d1.loss_cls: 0.5053, decode.d1.loss_mask: 0.6459, decode.d1.loss_dice: 0.9405, decode.d2.loss_cls: 0.4446, decode.d2.loss_mask: 0.6351, decode.d2.loss_dice: 0.9028, decode.d3.loss_cls: 0.4197, decode.d3.loss_mask: 0.6266, decode.d3.loss_dice: 0.8790, decode.d4.loss_cls: 0.4088, decode.d4.loss_mask: 0.6254, decode.d4.loss_dice: 0.8851, decode.d5.loss_cls: 0.4023, decode.d5.loss_mask: 0.6243, decode.d5.loss_dice: 0.8851, decode.d6.loss_cls: 0.4018, decode.d6.loss_mask: 0.6207, decode.d6.loss_dice: 0.8752, decode.d7.loss_cls: 0.3993, decode.d7.loss_mask: 0.6191, decode.d7.loss_dice: 0.8741, decode.d8.loss_cls: 0.3971, decode.d8.loss_mask: 0.6187, decode.d8.loss_dice: 0.8774, loss: 20.6741, grad_norm: 75.1398 2023-11-22 04:19:40,792 - mmseg - INFO - Iter [43250/160000] lr: 6.950e-06, eta: 19:05:09, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4312, decode.loss_mask: 0.5737, decode.loss_dice: 0.8598, decode.d0.loss_cls: 1.6000, decode.d0.loss_mask: 0.6147, decode.d0.loss_dice: 0.9941, decode.d1.loss_cls: 0.5294, decode.d1.loss_mask: 0.5994, decode.d1.loss_dice: 0.9155, decode.d2.loss_cls: 0.4741, decode.d2.loss_mask: 0.5807, decode.d2.loss_dice: 0.8805, decode.d3.loss_cls: 0.4541, decode.d3.loss_mask: 0.5790, decode.d3.loss_dice: 0.8611, decode.d4.loss_cls: 0.4409, decode.d4.loss_mask: 0.5756, decode.d4.loss_dice: 0.8646, decode.d5.loss_cls: 0.4440, decode.d5.loss_mask: 0.5746, decode.d5.loss_dice: 0.8616, decode.d6.loss_cls: 0.4351, decode.d6.loss_mask: 0.5719, decode.d6.loss_dice: 0.8534, decode.d7.loss_cls: 0.4370, decode.d7.loss_mask: 0.5743, decode.d7.loss_dice: 0.8516, decode.d8.loss_cls: 0.4336, decode.d8.loss_mask: 0.5737, decode.d8.loss_dice: 0.8602, loss: 20.2992, grad_norm: 69.1701 2023-11-22 04:20:08,990 - mmseg - INFO - Iter [43300/160000] lr: 6.947e-06, eta: 19:04:36, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4104, decode.loss_mask: 0.5828, decode.loss_dice: 0.8537, decode.d0.loss_cls: 1.5763, decode.d0.loss_mask: 0.6207, decode.d0.loss_dice: 0.9861, decode.d1.loss_cls: 0.5073, decode.d1.loss_mask: 0.6050, decode.d1.loss_dice: 0.9119, decode.d2.loss_cls: 0.4517, decode.d2.loss_mask: 0.5925, decode.d2.loss_dice: 0.8783, decode.d3.loss_cls: 0.4264, decode.d3.loss_mask: 0.5891, decode.d3.loss_dice: 0.8621, decode.d4.loss_cls: 0.4172, decode.d4.loss_mask: 0.5871, decode.d4.loss_dice: 0.8645, decode.d5.loss_cls: 0.4165, decode.d5.loss_mask: 0.5861, decode.d5.loss_dice: 0.8569, decode.d6.loss_cls: 0.4107, decode.d6.loss_mask: 0.5861, decode.d6.loss_dice: 0.8547, decode.d7.loss_cls: 0.4102, decode.d7.loss_mask: 0.5847, decode.d7.loss_dice: 0.8574, decode.d8.loss_cls: 0.4132, decode.d8.loss_mask: 0.5835, decode.d8.loss_dice: 0.8600, loss: 20.1433, grad_norm: 77.5598 2023-11-22 04:20:37,621 - mmseg - INFO - Iter [43350/160000] lr: 6.944e-06, eta: 19:04:04, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4435, decode.loss_mask: 0.5872, decode.loss_dice: 0.8677, decode.d0.loss_cls: 1.6114, decode.d0.loss_mask: 0.6236, decode.d0.loss_dice: 1.0036, decode.d1.loss_cls: 0.5381, decode.d1.loss_mask: 0.6043, decode.d1.loss_dice: 0.9295, decode.d2.loss_cls: 0.4854, decode.d2.loss_mask: 0.5953, decode.d2.loss_dice: 0.8897, decode.d3.loss_cls: 0.4656, decode.d3.loss_mask: 0.5901, decode.d3.loss_dice: 0.8680, decode.d4.loss_cls: 0.4505, decode.d4.loss_mask: 0.5881, decode.d4.loss_dice: 0.8689, decode.d5.loss_cls: 0.4529, decode.d5.loss_mask: 0.5879, decode.d5.loss_dice: 0.8678, decode.d6.loss_cls: 0.4451, decode.d6.loss_mask: 0.5886, decode.d6.loss_dice: 0.8687, decode.d7.loss_cls: 0.4422, decode.d7.loss_mask: 0.5836, decode.d7.loss_dice: 0.8649, decode.d8.loss_cls: 0.4387, decode.d8.loss_mask: 0.5876, decode.d8.loss_dice: 0.8708, loss: 20.6092, grad_norm: 71.9061 2023-11-22 04:21:05,898 - mmseg - INFO - Iter [43400/160000] lr: 6.941e-06, eta: 19:03:32, time: 0.567, data_time: 0.016, memory: 38143, decode.loss_cls: 0.4307, decode.loss_mask: 0.5852, decode.loss_dice: 0.8556, decode.d0.loss_cls: 1.5851, decode.d0.loss_mask: 0.6253, decode.d0.loss_dice: 0.9814, decode.d1.loss_cls: 0.5212, decode.d1.loss_mask: 0.6145, decode.d1.loss_dice: 0.9093, decode.d2.loss_cls: 0.4685, decode.d2.loss_mask: 0.5970, decode.d2.loss_dice: 0.8843, decode.d3.loss_cls: 0.4417, decode.d3.loss_mask: 0.5913, decode.d3.loss_dice: 0.8625, decode.d4.loss_cls: 0.4406, decode.d4.loss_mask: 0.5895, decode.d4.loss_dice: 0.8572, decode.d5.loss_cls: 0.4349, decode.d5.loss_mask: 0.5925, decode.d5.loss_dice: 0.8589, decode.d6.loss_cls: 0.4361, decode.d6.loss_mask: 0.5862, decode.d6.loss_dice: 0.8511, decode.d7.loss_cls: 0.4366, decode.d7.loss_mask: 0.5899, decode.d7.loss_dice: 0.8511, decode.d8.loss_cls: 0.4329, decode.d8.loss_mask: 0.5865, decode.d8.loss_dice: 0.8502, loss: 20.3479, grad_norm: 71.7433 2023-11-22 04:21:34,148 - mmseg - INFO - Iter [43450/160000] lr: 6.938e-06, eta: 19:02:59, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4366, decode.loss_mask: 0.5936, decode.loss_dice: 0.8784, decode.d0.loss_cls: 1.6164, decode.d0.loss_mask: 0.6279, decode.d0.loss_dice: 1.0004, decode.d1.loss_cls: 0.5321, decode.d1.loss_mask: 0.6164, decode.d1.loss_dice: 0.9326, decode.d2.loss_cls: 0.4750, decode.d2.loss_mask: 0.6024, decode.d2.loss_dice: 0.9083, decode.d3.loss_cls: 0.4544, decode.d3.loss_mask: 0.5993, decode.d3.loss_dice: 0.8847, decode.d4.loss_cls: 0.4463, decode.d4.loss_mask: 0.5986, decode.d4.loss_dice: 0.8854, decode.d5.loss_cls: 0.4371, decode.d5.loss_mask: 0.5980, decode.d5.loss_dice: 0.8822, decode.d6.loss_cls: 0.4368, decode.d6.loss_mask: 0.5984, decode.d6.loss_dice: 0.8745, decode.d7.loss_cls: 0.4393, decode.d7.loss_mask: 0.5977, decode.d7.loss_dice: 0.8746, decode.d8.loss_cls: 0.4336, decode.d8.loss_mask: 0.5960, decode.d8.loss_dice: 0.8807, loss: 20.7376, grad_norm: 71.7215 2023-11-22 04:22:02,365 - mmseg - INFO - Iter [43500/160000] lr: 6.935e-06, eta: 19:02:27, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4145, decode.loss_mask: 0.5877, decode.loss_dice: 0.8297, decode.d0.loss_cls: 1.5616, decode.d0.loss_mask: 0.6227, decode.d0.loss_dice: 0.9530, decode.d1.loss_cls: 0.5257, decode.d1.loss_mask: 0.6160, decode.d1.loss_dice: 0.8858, decode.d2.loss_cls: 0.4560, decode.d2.loss_mask: 0.6039, decode.d2.loss_dice: 0.8593, decode.d3.loss_cls: 0.4333, decode.d3.loss_mask: 0.5955, decode.d3.loss_dice: 0.8382, decode.d4.loss_cls: 0.4235, decode.d4.loss_mask: 0.5953, decode.d4.loss_dice: 0.8393, decode.d5.loss_cls: 0.4207, decode.d5.loss_mask: 0.5925, decode.d5.loss_dice: 0.8403, decode.d6.loss_cls: 0.4171, decode.d6.loss_mask: 0.5902, decode.d6.loss_dice: 0.8345, decode.d7.loss_cls: 0.4159, decode.d7.loss_mask: 0.5902, decode.d7.loss_dice: 0.8371, decode.d8.loss_cls: 0.4186, decode.d8.loss_mask: 0.5882, decode.d8.loss_dice: 0.8364, loss: 20.0226, grad_norm: 73.9674 2023-11-22 04:22:30,534 - mmseg - INFO - Iter [43550/160000] lr: 6.932e-06, eta: 19:01:54, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4109, decode.loss_mask: 0.5909, decode.loss_dice: 0.8679, decode.d0.loss_cls: 1.5743, decode.d0.loss_mask: 0.6287, decode.d0.loss_dice: 1.0021, decode.d1.loss_cls: 0.5168, decode.d1.loss_mask: 0.6147, decode.d1.loss_dice: 0.9303, decode.d2.loss_cls: 0.4607, decode.d2.loss_mask: 0.5995, decode.d2.loss_dice: 0.8907, decode.d3.loss_cls: 0.4324, decode.d3.loss_mask: 0.5916, decode.d3.loss_dice: 0.8759, decode.d4.loss_cls: 0.4274, decode.d4.loss_mask: 0.5907, decode.d4.loss_dice: 0.8736, decode.d5.loss_cls: 0.4142, decode.d5.loss_mask: 0.5929, decode.d5.loss_dice: 0.8770, decode.d6.loss_cls: 0.4122, decode.d6.loss_mask: 0.5892, decode.d6.loss_dice: 0.8682, decode.d7.loss_cls: 0.4159, decode.d7.loss_mask: 0.5908, decode.d7.loss_dice: 0.8625, decode.d8.loss_cls: 0.4077, decode.d8.loss_mask: 0.5905, decode.d8.loss_dice: 0.8717, loss: 20.3718, grad_norm: 77.3036 2023-11-22 04:22:58,672 - mmseg - INFO - Iter [43600/160000] lr: 6.929e-06, eta: 19:01:21, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4419, decode.loss_mask: 0.5923, decode.loss_dice: 0.8948, decode.d0.loss_cls: 1.6317, decode.d0.loss_mask: 0.6346, decode.d0.loss_dice: 1.0317, decode.d1.loss_cls: 0.5383, decode.d1.loss_mask: 0.6222, decode.d1.loss_dice: 0.9613, decode.d2.loss_cls: 0.4794, decode.d2.loss_mask: 0.6048, decode.d2.loss_dice: 0.9230, decode.d3.loss_cls: 0.4662, decode.d3.loss_mask: 0.5949, decode.d3.loss_dice: 0.8992, decode.d4.loss_cls: 0.4485, decode.d4.loss_mask: 0.5961, decode.d4.loss_dice: 0.9023, decode.d5.loss_cls: 0.4407, decode.d5.loss_mask: 0.5957, decode.d5.loss_dice: 0.9038, decode.d6.loss_cls: 0.4386, decode.d6.loss_mask: 0.5926, decode.d6.loss_dice: 0.9023, decode.d7.loss_cls: 0.4402, decode.d7.loss_mask: 0.5945, decode.d7.loss_dice: 0.8970, decode.d8.loss_cls: 0.4385, decode.d8.loss_mask: 0.5918, decode.d8.loss_dice: 0.8977, loss: 20.9964, grad_norm: 73.9819 2023-11-22 04:23:27,283 - mmseg - INFO - Iter [43650/160000] lr: 6.926e-06, eta: 19:00:50, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4350, decode.loss_mask: 0.5706, decode.loss_dice: 0.8514, decode.d0.loss_cls: 1.5986, decode.d0.loss_mask: 0.6080, decode.d0.loss_dice: 0.9904, decode.d1.loss_cls: 0.5390, decode.d1.loss_mask: 0.5925, decode.d1.loss_dice: 0.9074, decode.d2.loss_cls: 0.4815, decode.d2.loss_mask: 0.5833, decode.d2.loss_dice: 0.8796, decode.d3.loss_cls: 0.4516, decode.d3.loss_mask: 0.5777, decode.d3.loss_dice: 0.8567, decode.d4.loss_cls: 0.4499, decode.d4.loss_mask: 0.5739, decode.d4.loss_dice: 0.8597, decode.d5.loss_cls: 0.4397, decode.d5.loss_mask: 0.5751, decode.d5.loss_dice: 0.8577, decode.d6.loss_cls: 0.4322, decode.d6.loss_mask: 0.5734, decode.d6.loss_dice: 0.8525, decode.d7.loss_cls: 0.4322, decode.d7.loss_mask: 0.5739, decode.d7.loss_dice: 0.8542, decode.d8.loss_cls: 0.4362, decode.d8.loss_mask: 0.5740, decode.d8.loss_dice: 0.8538, loss: 20.2618, grad_norm: 69.6702 2023-11-22 04:23:55,492 - mmseg - INFO - Iter [43700/160000] lr: 6.923e-06, eta: 19:00:17, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4091, decode.loss_mask: 0.6077, decode.loss_dice: 0.8584, decode.d0.loss_cls: 1.5547, decode.d0.loss_mask: 0.6412, decode.d0.loss_dice: 0.9888, decode.d1.loss_cls: 0.5056, decode.d1.loss_mask: 0.6211, decode.d1.loss_dice: 0.9160, decode.d2.loss_cls: 0.4548, decode.d2.loss_mask: 0.6120, decode.d2.loss_dice: 0.8852, decode.d3.loss_cls: 0.4346, decode.d3.loss_mask: 0.6039, decode.d3.loss_dice: 0.8645, decode.d4.loss_cls: 0.4256, decode.d4.loss_mask: 0.6062, decode.d4.loss_dice: 0.8676, decode.d5.loss_cls: 0.4166, decode.d5.loss_mask: 0.6085, decode.d5.loss_dice: 0.8669, decode.d6.loss_cls: 0.4135, decode.d6.loss_mask: 0.6033, decode.d6.loss_dice: 0.8582, decode.d7.loss_cls: 0.4066, decode.d7.loss_mask: 0.6047, decode.d7.loss_dice: 0.8595, decode.d8.loss_cls: 0.4103, decode.d8.loss_mask: 0.6059, decode.d8.loss_dice: 0.8564, loss: 20.3676, grad_norm: 74.2980 2023-11-22 04:24:23,679 - mmseg - INFO - Iter [43750/160000] lr: 6.920e-06, eta: 18:59:44, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4261, decode.loss_mask: 0.5781, decode.loss_dice: 0.8793, decode.d0.loss_cls: 1.5881, decode.d0.loss_mask: 0.6171, decode.d0.loss_dice: 1.0143, decode.d1.loss_cls: 0.5131, decode.d1.loss_mask: 0.6089, decode.d1.loss_dice: 0.9442, decode.d2.loss_cls: 0.4595, decode.d2.loss_mask: 0.5915, decode.d2.loss_dice: 0.9110, decode.d3.loss_cls: 0.4428, decode.d3.loss_mask: 0.5835, decode.d3.loss_dice: 0.8910, decode.d4.loss_cls: 0.4381, decode.d4.loss_mask: 0.5809, decode.d4.loss_dice: 0.8916, decode.d5.loss_cls: 0.4296, decode.d5.loss_mask: 0.5807, decode.d5.loss_dice: 0.8944, decode.d6.loss_cls: 0.4252, decode.d6.loss_mask: 0.5800, decode.d6.loss_dice: 0.8817, decode.d7.loss_cls: 0.4271, decode.d7.loss_mask: 0.5797, decode.d7.loss_dice: 0.8824, decode.d8.loss_cls: 0.4276, decode.d8.loss_mask: 0.5784, decode.d8.loss_dice: 0.8823, loss: 20.5277, grad_norm: 71.7795 2023-11-22 04:24:51,951 - mmseg - INFO - Iter [43800/160000] lr: 6.917e-06, eta: 18:59:12, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4239, decode.loss_mask: 0.6063, decode.loss_dice: 0.8669, decode.d0.loss_cls: 1.6060, decode.d0.loss_mask: 0.6475, decode.d0.loss_dice: 0.9982, decode.d1.loss_cls: 0.5187, decode.d1.loss_mask: 0.6365, decode.d1.loss_dice: 0.9351, decode.d2.loss_cls: 0.4600, decode.d2.loss_mask: 0.6205, decode.d2.loss_dice: 0.9014, decode.d3.loss_cls: 0.4431, decode.d3.loss_mask: 0.6107, decode.d3.loss_dice: 0.8742, decode.d4.loss_cls: 0.4322, decode.d4.loss_mask: 0.6103, decode.d4.loss_dice: 0.8800, decode.d5.loss_cls: 0.4318, decode.d5.loss_mask: 0.6133, decode.d5.loss_dice: 0.8732, decode.d6.loss_cls: 0.4292, decode.d6.loss_mask: 0.6110, decode.d6.loss_dice: 0.8673, decode.d7.loss_cls: 0.4302, decode.d7.loss_mask: 0.6073, decode.d7.loss_dice: 0.8677, decode.d8.loss_cls: 0.4229, decode.d8.loss_mask: 0.6098, decode.d8.loss_dice: 0.8724, loss: 20.7075, grad_norm: 75.8780 2023-11-22 04:25:20,049 - mmseg - INFO - Iter [43850/160000] lr: 6.915e-06, eta: 18:58:39, time: 0.562, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4074, decode.loss_mask: 0.6004, decode.loss_dice: 0.8517, decode.d0.loss_cls: 1.5469, decode.d0.loss_mask: 0.6436, decode.d0.loss_dice: 0.9815, decode.d1.loss_cls: 0.5123, decode.d1.loss_mask: 0.6286, decode.d1.loss_dice: 0.9110, decode.d2.loss_cls: 0.4456, decode.d2.loss_mask: 0.6155, decode.d2.loss_dice: 0.8833, decode.d3.loss_cls: 0.4269, decode.d3.loss_mask: 0.6082, decode.d3.loss_dice: 0.8618, decode.d4.loss_cls: 0.4161, decode.d4.loss_mask: 0.5998, decode.d4.loss_dice: 0.8621, decode.d5.loss_cls: 0.4090, decode.d5.loss_mask: 0.6043, decode.d5.loss_dice: 0.8649, decode.d6.loss_cls: 0.4072, decode.d6.loss_mask: 0.6020, decode.d6.loss_dice: 0.8545, decode.d7.loss_cls: 0.4050, decode.d7.loss_mask: 0.6015, decode.d7.loss_dice: 0.8523, decode.d8.loss_cls: 0.4058, decode.d8.loss_mask: 0.6032, decode.d8.loss_dice: 0.8549, loss: 20.2670, grad_norm: 73.0422 2023-11-22 04:25:48,190 - mmseg - INFO - Iter [43900/160000] lr: 6.912e-06, eta: 18:58:06, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4213, decode.loss_mask: 0.5806, decode.loss_dice: 0.8644, decode.d0.loss_cls: 1.5976, decode.d0.loss_mask: 0.6209, decode.d0.loss_dice: 0.9918, decode.d1.loss_cls: 0.5097, decode.d1.loss_mask: 0.6101, decode.d1.loss_dice: 0.9236, decode.d2.loss_cls: 0.4561, decode.d2.loss_mask: 0.5932, decode.d2.loss_dice: 0.8867, decode.d3.loss_cls: 0.4324, decode.d3.loss_mask: 0.5848, decode.d3.loss_dice: 0.8673, decode.d4.loss_cls: 0.4274, decode.d4.loss_mask: 0.5825, decode.d4.loss_dice: 0.8666, decode.d5.loss_cls: 0.4229, decode.d5.loss_mask: 0.5815, decode.d5.loss_dice: 0.8738, decode.d6.loss_cls: 0.4187, decode.d6.loss_mask: 0.5803, decode.d6.loss_dice: 0.8654, decode.d7.loss_cls: 0.4142, decode.d7.loss_mask: 0.5808, decode.d7.loss_dice: 0.8683, decode.d8.loss_cls: 0.4157, decode.d8.loss_mask: 0.5823, decode.d8.loss_dice: 0.8655, loss: 20.2863, grad_norm: 71.3447 2023-11-22 04:26:16,709 - mmseg - INFO - Iter [43950/160000] lr: 6.909e-06, eta: 18:57:34, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4302, decode.loss_mask: 0.6014, decode.loss_dice: 0.8831, decode.d0.loss_cls: 1.5899, decode.d0.loss_mask: 0.6450, decode.d0.loss_dice: 1.0211, decode.d1.loss_cls: 0.5366, decode.d1.loss_mask: 0.6309, decode.d1.loss_dice: 0.9418, decode.d2.loss_cls: 0.4679, decode.d2.loss_mask: 0.6168, decode.d2.loss_dice: 0.9129, decode.d3.loss_cls: 0.4523, decode.d3.loss_mask: 0.6091, decode.d3.loss_dice: 0.8897, decode.d4.loss_cls: 0.4456, decode.d4.loss_mask: 0.6053, decode.d4.loss_dice: 0.8885, decode.d5.loss_cls: 0.4416, decode.d5.loss_mask: 0.6011, decode.d5.loss_dice: 0.8902, decode.d6.loss_cls: 0.4372, decode.d6.loss_mask: 0.6001, decode.d6.loss_dice: 0.8816, decode.d7.loss_cls: 0.4339, decode.d7.loss_mask: 0.6018, decode.d7.loss_dice: 0.8791, decode.d8.loss_cls: 0.4314, decode.d8.loss_mask: 0.6025, decode.d8.loss_dice: 0.8816, loss: 20.8503, grad_norm: 73.6265 2023-11-22 04:26:44,834 - mmseg - INFO - Saving checkpoint at 44000 iterations 2023-11-22 04:26:52,494 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 04:26:52,494 - mmseg - INFO - Iter [44000/160000] lr: 6.906e-06, eta: 18:57:22, time: 0.716, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4381, decode.loss_mask: 0.6197, decode.loss_dice: 0.8863, decode.d0.loss_cls: 1.6196, decode.d0.loss_mask: 0.6577, decode.d0.loss_dice: 1.0236, decode.d1.loss_cls: 0.5552, decode.d1.loss_mask: 0.6432, decode.d1.loss_dice: 0.9536, decode.d2.loss_cls: 0.4809, decode.d2.loss_mask: 0.6306, decode.d2.loss_dice: 0.9170, decode.d3.loss_cls: 0.4671, decode.d3.loss_mask: 0.6188, decode.d3.loss_dice: 0.8929, decode.d4.loss_cls: 0.4519, decode.d4.loss_mask: 0.6184, decode.d4.loss_dice: 0.8970, decode.d5.loss_cls: 0.4505, decode.d5.loss_mask: 0.6187, decode.d5.loss_dice: 0.8959, decode.d6.loss_cls: 0.4413, decode.d6.loss_mask: 0.6153, decode.d6.loss_dice: 0.8815, decode.d7.loss_cls: 0.4396, decode.d7.loss_mask: 0.6172, decode.d7.loss_dice: 0.8851, decode.d8.loss_cls: 0.4387, decode.d8.loss_mask: 0.6179, decode.d8.loss_dice: 0.8829, loss: 21.1559, grad_norm: 77.5136 2023-11-22 04:27:12,157 - mmseg - INFO - per class results: 2023-11-22 04:27:12,163 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.93 | 86.64 | | building | 82.19 | 91.58 | | sky | 94.98 | 97.24 | | floor | 83.95 | 89.97 | | tree | 77.37 | 88.41 | | ceiling | 85.64 | 91.83 | | road | 86.89 | 90.4 | | bed | 92.06 | 96.21 | | windowpane | 64.47 | 79.3 | | grass | 74.83 | 89.29 | | cabinet | 63.73 | 82.16 | | sidewalk | 67.51 | 81.28 | | person | 86.07 | 93.08 | | earth | 41.22 | 56.66 | | door | 55.28 | 72.21 | | table | 68.02 | 81.24 | | mountain | 61.98 | 76.65 | | plant | 53.58 | 69.41 | | curtain | 79.48 | 91.63 | | chair | 66.04 | 79.88 | | car | 87.96 | 94.26 | | water | 59.3 | 75.65 | | painting | 74.9 | 91.19 | | sofa | 70.65 | 80.66 | | shelf | 42.47 | 53.97 | | house | 45.44 | 72.98 | | sea | 68.09 | 89.34 | | mirror | 71.93 | 84.44 | | rug | 68.58 | 87.61 | | field | 31.37 | 41.08 | | armchair | 52.92 | 76.7 | | seat | 62.15 | 81.27 | | fence | 48.92 | 65.44 | | desk | 55.33 | 74.31 | | rock | 45.71 | 73.71 | | wardrobe | 45.2 | 54.8 | | lamp | 72.48 | 84.11 | | bathtub | 78.26 | 86.43 | | railing | 39.72 | 60.54 | | cushion | 65.48 | 73.98 | | base | 42.82 | 61.72 | | box | 34.18 | 48.27 | | column | 55.24 | 70.95 | | signboard | 40.12 | 62.23 | | chest of drawers | 33.9 | 51.9 | | counter | 42.25 | 49.57 | | sand | 37.3 | 53.4 | | sink | 80.38 | 86.75 | | skyscraper | 49.43 | 61.02 | | fireplace | 73.66 | 91.27 | | refrigerator | 77.13 | 82.17 | | grandstand | 60.56 | 80.35 | | path | 20.15 | 40.17 | | stairs | 43.43 | 51.57 | | runway | 70.75 | 89.45 | | case | 62.33 | 86.56 | | pool table | 94.8 | 97.4 | | pillow | 65.44 | 79.26 | | screen door | 73.63 | 88.16 | | stairway | 32.29 | 49.15 | | river | 18.8 | 25.84 | | bridge | 76.67 | 85.36 | | bookcase | 30.71 | 57.46 | | blind | 45.73 | 60.13 | | coffee table | 65.89 | 84.13 | | toilet | 90.54 | 93.43 | | flower | 44.0 | 62.99 | | book | 51.25 | 79.2 | | hill | 9.84 | 17.05 | | bench | 62.85 | 77.03 | | countertop | 53.82 | 76.44 | | stove | 82.72 | 87.64 | | palm | 56.82 | 80.87 | | kitchen island | 59.71 | 85.87 | | computer | 77.23 | 89.7 | | swivel chair | 51.39 | 73.43 | | boat | 67.19 | 93.56 | | bar | 54.59 | 56.96 | | arcade machine | 53.5 | 61.78 | | hovel | 39.17 | 49.46 | | bus | 88.27 | 96.83 | | towel | 81.47 | 89.33 | | light | 58.14 | 83.75 | | truck | 33.81 | 42.68 | | tower | 19.57 | 26.21 | | chandelier | 68.45 | 81.15 | | awning | 31.03 | 56.14 | | streetlight | 38.0 | 57.92 | | booth | 29.03 | 41.84 | | television receiver | 78.05 | 89.28 | | airplane | 67.79 | 73.33 | | dirt track | 19.28 | 34.48 | | apparel | 41.31 | 73.73 | | pole | 26.68 | 38.85 | | land | 0.25 | 0.32 | | bannister | 21.92 | 29.1 | | escalator | 57.01 | 84.13 | | ottoman | 50.34 | 82.07 | | bottle | 47.6 | 74.46 | | buffet | 42.57 | 58.04 | | poster | 30.37 | 51.74 | | stage | 12.31 | 25.52 | | van | 44.6 | 61.74 | | ship | 18.26 | 18.93 | | fountain | 22.73 | 23.15 | | conveyer belt | 72.26 | 95.49 | | canopy | 48.72 | 64.8 | | washer | 71.16 | 75.72 | | plaything | 39.22 | 62.31 | | swimming pool | 68.42 | 70.82 | | stool | 56.41 | 74.55 | | barrel | 15.99 | 75.28 | | basket | 42.2 | 63.08 | | waterfall | 36.18 | 47.81 | | tent | 96.45 | 98.2 | | bag | 29.96 | 40.95 | | minibike | 70.66 | 91.63 | | cradle | 86.13 | 97.98 | | oven | 27.05 | 78.9 | | ball | 40.91 | 46.52 | | food | 60.97 | 69.05 | | step | 27.58 | 42.51 | | tank | 42.08 | 56.52 | | trade name | 22.1 | 29.42 | | microwave | 42.93 | 46.29 | | pot | 49.82 | 64.75 | | animal | 72.2 | 74.55 | | bicycle | 64.69 | 82.44 | | lake | 0.0 | 0.0 | | dishwasher | 72.75 | 82.7 | | screen | 44.42 | 74.76 | | blanket | 34.74 | 47.73 | | sculpture | 54.27 | 83.7 | | hood | 61.92 | 73.2 | | sconce | 57.73 | 80.48 | | vase | 53.8 | 74.7 | | traffic light | 35.95 | 75.73 | | tray | 16.62 | 28.34 | | ashcan | 38.22 | 56.77 | | fan | 66.37 | 86.51 | | pier | 25.78 | 43.18 | | crt screen | 4.78 | 14.23 | | plate | 61.37 | 83.11 | | monitor | 14.13 | 19.61 | | bulletin board | 45.73 | 73.22 | | shower | 15.46 | 26.81 | | radiator | 75.1 | 91.13 | | glass | 24.17 | 26.9 | | clock | 50.45 | 65.98 | | flag | 37.53 | 45.29 | +---------------------+-------+-------+ 2023-11-22 04:27:12,163 - mmseg - INFO - Summary: 2023-11-22 04:27:12,163 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.76 | 52.92 | 67.77 | +-------+-------+-------+ 2023-11-22 04:27:12,164 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 04:27:12,164 - mmseg - INFO - Iter(val) [250] aAcc: 0.8476, mIoU: 0.5292, mAcc: 0.6777, IoU.wall: 0.7993, IoU.building: 0.8219, IoU.sky: 0.9498, IoU.floor: 0.8395, IoU.tree: 0.7737, IoU.ceiling: 0.8564, IoU.road: 0.8689, IoU.bed : 0.9206, IoU.windowpane: 0.6447, IoU.grass: 0.7483, IoU.cabinet: 0.6373, IoU.sidewalk: 0.6751, IoU.person: 0.8607, IoU.earth: 0.4122, IoU.door: 0.5528, IoU.table: 0.6802, IoU.mountain: 0.6198, IoU.plant: 0.5358, IoU.curtain: 0.7948, IoU.chair: 0.6604, IoU.car: 0.8796, IoU.water: 0.5930, IoU.painting: 0.7490, IoU.sofa: 0.7065, IoU.shelf: 0.4247, IoU.house: 0.4544, IoU.sea: 0.6809, IoU.mirror: 0.7193, IoU.rug: 0.6858, IoU.field: 0.3137, IoU.armchair: 0.5292, IoU.seat: 0.6215, IoU.fence: 0.4892, IoU.desk: 0.5533, IoU.rock: 0.4571, IoU.wardrobe: 0.4520, IoU.lamp: 0.7248, IoU.bathtub: 0.7826, IoU.railing: 0.3972, IoU.cushion: 0.6548, IoU.base: 0.4282, IoU.box: 0.3418, IoU.column: 0.5524, IoU.signboard: 0.4012, IoU.chest of drawers: 0.3390, IoU.counter: 0.4225, IoU.sand: 0.3730, IoU.sink: 0.8038, IoU.skyscraper: 0.4943, IoU.fireplace: 0.7366, IoU.refrigerator: 0.7713, IoU.grandstand: 0.6056, IoU.path: 0.2015, IoU.stairs: 0.4343, IoU.runway: 0.7075, IoU.case: 0.6233, IoU.pool table: 0.9480, IoU.pillow: 0.6544, IoU.screen door: 0.7363, IoU.stairway: 0.3229, IoU.river: 0.1880, IoU.bridge: 0.7667, IoU.bookcase: 0.3071, IoU.blind: 0.4573, IoU.coffee table: 0.6589, IoU.toilet: 0.9054, IoU.flower: 0.4400, IoU.book: 0.5125, IoU.hill: 0.0984, IoU.bench: 0.6285, IoU.countertop: 0.5382, IoU.stove: 0.8272, IoU.palm: 0.5682, IoU.kitchen island: 0.5971, IoU.computer: 0.7723, IoU.swivel chair: 0.5139, IoU.boat: 0.6719, IoU.bar: 0.5459, IoU.arcade machine: 0.5350, IoU.hovel: 0.3917, IoU.bus: 0.8827, IoU.towel: 0.8147, IoU.light: 0.5814, IoU.truck: 0.3381, IoU.tower: 0.1957, IoU.chandelier: 0.6845, IoU.awning: 0.3103, IoU.streetlight: 0.3800, IoU.booth: 0.2903, IoU.television receiver: 0.7805, IoU.airplane: 0.6779, IoU.dirt track: 0.1928, IoU.apparel: 0.4131, IoU.pole: 0.2668, IoU.land: 0.0025, IoU.bannister: 0.2192, IoU.escalator: 0.5701, IoU.ottoman: 0.5034, IoU.bottle: 0.4760, IoU.buffet: 0.4257, IoU.poster: 0.3037, IoU.stage: 0.1231, IoU.van: 0.4460, IoU.ship: 0.1826, IoU.fountain: 0.2273, IoU.conveyer belt: 0.7226, IoU.canopy: 0.4872, IoU.washer: 0.7116, IoU.plaything: 0.3922, IoU.swimming pool: 0.6842, IoU.stool: 0.5641, IoU.barrel: 0.1599, IoU.basket: 0.4220, IoU.waterfall: 0.3618, IoU.tent: 0.9645, IoU.bag: 0.2996, IoU.minibike: 0.7066, IoU.cradle: 0.8613, IoU.oven: 0.2705, IoU.ball: 0.4091, IoU.food: 0.6097, IoU.step: 0.2758, IoU.tank: 0.4208, IoU.trade name: 0.2210, IoU.microwave: 0.4293, IoU.pot: 0.4982, IoU.animal: 0.7220, IoU.bicycle: 0.6469, IoU.lake: 0.0000, IoU.dishwasher: 0.7275, IoU.screen: 0.4442, IoU.blanket: 0.3474, IoU.sculpture: 0.5427, IoU.hood: 0.6192, IoU.sconce: 0.5773, IoU.vase: 0.5380, IoU.traffic light: 0.3595, IoU.tray: 0.1662, IoU.ashcan: 0.3822, IoU.fan: 0.6637, IoU.pier: 0.2578, IoU.crt screen: 0.0478, IoU.plate: 0.6137, IoU.monitor: 0.1413, IoU.bulletin board: 0.4573, IoU.shower: 0.1546, IoU.radiator: 0.7510, IoU.glass: 0.2417, IoU.clock: 0.5045, IoU.flag: 0.3753, Acc.wall: 0.8664, Acc.building: 0.9158, Acc.sky: 0.9724, Acc.floor: 0.8997, Acc.tree: 0.8841, Acc.ceiling: 0.9183, Acc.road: 0.9040, Acc.bed : 0.9621, Acc.windowpane: 0.7930, Acc.grass: 0.8929, Acc.cabinet: 0.8216, Acc.sidewalk: 0.8128, Acc.person: 0.9308, Acc.earth: 0.5666, Acc.door: 0.7221, Acc.table: 0.8124, Acc.mountain: 0.7665, Acc.plant: 0.6941, Acc.curtain: 0.9163, Acc.chair: 0.7988, Acc.car: 0.9426, Acc.water: 0.7565, Acc.painting: 0.9119, Acc.sofa: 0.8066, Acc.shelf: 0.5397, Acc.house: 0.7298, Acc.sea: 0.8934, Acc.mirror: 0.8444, Acc.rug: 0.8761, Acc.field: 0.4108, Acc.armchair: 0.7670, Acc.seat: 0.8127, Acc.fence: 0.6544, Acc.desk: 0.7431, Acc.rock: 0.7371, Acc.wardrobe: 0.5480, Acc.lamp: 0.8411, Acc.bathtub: 0.8643, Acc.railing: 0.6054, Acc.cushion: 0.7398, Acc.base: 0.6172, Acc.box: 0.4827, Acc.column: 0.7095, Acc.signboard: 0.6223, Acc.chest of drawers: 0.5190, Acc.counter: 0.4957, Acc.sand: 0.5340, Acc.sink: 0.8675, Acc.skyscraper: 0.6102, Acc.fireplace: 0.9127, Acc.refrigerator: 0.8217, Acc.grandstand: 0.8035, Acc.path: 0.4017, Acc.stairs: 0.5157, Acc.runway: 0.8945, Acc.case: 0.8656, Acc.pool table: 0.9740, Acc.pillow: 0.7926, Acc.screen door: 0.8816, Acc.stairway: 0.4915, Acc.river: 0.2584, Acc.bridge: 0.8536, Acc.bookcase: 0.5746, Acc.blind: 0.6013, Acc.coffee table: 0.8413, Acc.toilet: 0.9343, Acc.flower: 0.6299, Acc.book: 0.7920, Acc.hill: 0.1705, Acc.bench: 0.7703, Acc.countertop: 0.7644, Acc.stove: 0.8764, Acc.palm: 0.8087, Acc.kitchen island: 0.8587, Acc.computer: 0.8970, Acc.swivel chair: 0.7343, Acc.boat: 0.9356, Acc.bar: 0.5696, Acc.arcade machine: 0.6178, Acc.hovel: 0.4946, Acc.bus: 0.9683, Acc.towel: 0.8933, Acc.light: 0.8375, Acc.truck: 0.4268, Acc.tower: 0.2621, Acc.chandelier: 0.8115, Acc.awning: 0.5614, Acc.streetlight: 0.5792, Acc.booth: 0.4184, Acc.television receiver: 0.8928, Acc.airplane: 0.7333, Acc.dirt track: 0.3448, Acc.apparel: 0.7373, Acc.pole: 0.3885, Acc.land: 0.0032, Acc.bannister: 0.2910, Acc.escalator: 0.8413, Acc.ottoman: 0.8207, Acc.bottle: 0.7446, Acc.buffet: 0.5804, Acc.poster: 0.5174, Acc.stage: 0.2552, Acc.van: 0.6174, Acc.ship: 0.1893, Acc.fountain: 0.2315, Acc.conveyer belt: 0.9549, Acc.canopy: 0.6480, Acc.washer: 0.7572, Acc.plaything: 0.6231, Acc.swimming pool: 0.7082, Acc.stool: 0.7455, Acc.barrel: 0.7528, Acc.basket: 0.6308, Acc.waterfall: 0.4781, Acc.tent: 0.9820, Acc.bag: 0.4095, Acc.minibike: 0.9163, Acc.cradle: 0.9798, Acc.oven: 0.7890, Acc.ball: 0.4652, Acc.food: 0.6905, Acc.step: 0.4251, Acc.tank: 0.5652, Acc.trade name: 0.2942, Acc.microwave: 0.4629, Acc.pot: 0.6475, Acc.animal: 0.7455, Acc.bicycle: 0.8244, Acc.lake: 0.0000, Acc.dishwasher: 0.8270, Acc.screen: 0.7476, Acc.blanket: 0.4773, Acc.sculpture: 0.8370, Acc.hood: 0.7320, Acc.sconce: 0.8048, Acc.vase: 0.7470, Acc.traffic light: 0.7573, Acc.tray: 0.2834, Acc.ashcan: 0.5677, Acc.fan: 0.8651, Acc.pier: 0.4318, Acc.crt screen: 0.1423, Acc.plate: 0.8311, Acc.monitor: 0.1961, Acc.bulletin board: 0.7322, Acc.shower: 0.2681, Acc.radiator: 0.9113, Acc.glass: 0.2690, Acc.clock: 0.6598, Acc.flag: 0.4529 2023-11-22 04:27:40,286 - mmseg - INFO - Iter [44050/160000] lr: 6.903e-06, eta: 18:57:41, time: 0.956, data_time: 0.407, memory: 38143, decode.loss_cls: 0.4249, decode.loss_mask: 0.6223, decode.loss_dice: 0.8912, decode.d0.loss_cls: 1.5671, decode.d0.loss_mask: 0.6647, decode.d0.loss_dice: 1.0332, decode.d1.loss_cls: 0.5184, decode.d1.loss_mask: 0.6555, decode.d1.loss_dice: 0.9573, decode.d2.loss_cls: 0.4614, decode.d2.loss_mask: 0.6390, decode.d2.loss_dice: 0.9249, decode.d3.loss_cls: 0.4401, decode.d3.loss_mask: 0.6337, decode.d3.loss_dice: 0.9045, decode.d4.loss_cls: 0.4348, decode.d4.loss_mask: 0.6265, decode.d4.loss_dice: 0.9051, decode.d5.loss_cls: 0.4303, decode.d5.loss_mask: 0.6267, decode.d5.loss_dice: 0.8997, decode.d6.loss_cls: 0.4255, decode.d6.loss_mask: 0.6278, decode.d6.loss_dice: 0.8968, decode.d7.loss_cls: 0.4186, decode.d7.loss_mask: 0.6263, decode.d7.loss_dice: 0.8989, decode.d8.loss_cls: 0.4231, decode.d8.loss_mask: 0.6240, decode.d8.loss_dice: 0.8945, loss: 21.0966, grad_norm: 71.9654 2023-11-22 04:28:08,408 - mmseg - INFO - Iter [44100/160000] lr: 6.900e-06, eta: 18:57:08, time: 0.562, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4165, decode.loss_mask: 0.5898, decode.loss_dice: 0.8649, decode.d0.loss_cls: 1.5920, decode.d0.loss_mask: 0.6222, decode.d0.loss_dice: 1.0053, decode.d1.loss_cls: 0.5132, decode.d1.loss_mask: 0.6202, decode.d1.loss_dice: 0.9309, decode.d2.loss_cls: 0.4638, decode.d2.loss_mask: 0.6009, decode.d2.loss_dice: 0.9026, decode.d3.loss_cls: 0.4432, decode.d3.loss_mask: 0.5918, decode.d3.loss_dice: 0.8756, decode.d4.loss_cls: 0.4259, decode.d4.loss_mask: 0.5956, decode.d4.loss_dice: 0.8809, decode.d5.loss_cls: 0.4206, decode.d5.loss_mask: 0.5889, decode.d5.loss_dice: 0.8799, decode.d6.loss_cls: 0.4191, decode.d6.loss_mask: 0.5881, decode.d6.loss_dice: 0.8740, decode.d7.loss_cls: 0.4143, decode.d7.loss_mask: 0.5913, decode.d7.loss_dice: 0.8709, decode.d8.loss_cls: 0.4183, decode.d8.loss_mask: 0.5907, decode.d8.loss_dice: 0.8739, loss: 20.4651, grad_norm: 74.6089 2023-11-22 04:28:36,569 - mmseg - INFO - Iter [44150/160000] lr: 6.897e-06, eta: 18:56:35, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4271, decode.loss_mask: 0.6011, decode.loss_dice: 0.8809, decode.d0.loss_cls: 1.5748, decode.d0.loss_mask: 0.6488, decode.d0.loss_dice: 1.0264, decode.d1.loss_cls: 0.5308, decode.d1.loss_mask: 0.6285, decode.d1.loss_dice: 0.9454, decode.d2.loss_cls: 0.4635, decode.d2.loss_mask: 0.6130, decode.d2.loss_dice: 0.9155, decode.d3.loss_cls: 0.4534, decode.d3.loss_mask: 0.6062, decode.d3.loss_dice: 0.8966, decode.d4.loss_cls: 0.4405, decode.d4.loss_mask: 0.6071, decode.d4.loss_dice: 0.8954, decode.d5.loss_cls: 0.4368, decode.d5.loss_mask: 0.6059, decode.d5.loss_dice: 0.8926, decode.d6.loss_cls: 0.4331, decode.d6.loss_mask: 0.6011, decode.d6.loss_dice: 0.8839, decode.d7.loss_cls: 0.4310, decode.d7.loss_mask: 0.6038, decode.d7.loss_dice: 0.8860, decode.d8.loss_cls: 0.4305, decode.d8.loss_mask: 0.6051, decode.d8.loss_dice: 0.8821, loss: 20.8469, grad_norm: 69.4839 2023-11-22 04:29:04,824 - mmseg - INFO - Iter [44200/160000] lr: 6.894e-06, eta: 18:56:03, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4137, decode.loss_mask: 0.6004, decode.loss_dice: 0.8494, decode.d0.loss_cls: 1.6161, decode.d0.loss_mask: 0.6379, decode.d0.loss_dice: 0.9870, decode.d1.loss_cls: 0.5125, decode.d1.loss_mask: 0.6317, decode.d1.loss_dice: 0.9058, decode.d2.loss_cls: 0.4596, decode.d2.loss_mask: 0.6166, decode.d2.loss_dice: 0.8805, decode.d3.loss_cls: 0.4328, decode.d3.loss_mask: 0.6104, decode.d3.loss_dice: 0.8610, decode.d4.loss_cls: 0.4311, decode.d4.loss_mask: 0.6084, decode.d4.loss_dice: 0.8624, decode.d5.loss_cls: 0.4262, decode.d5.loss_mask: 0.6035, decode.d5.loss_dice: 0.8573, decode.d6.loss_cls: 0.4214, decode.d6.loss_mask: 0.6021, decode.d6.loss_dice: 0.8507, decode.d7.loss_cls: 0.4146, decode.d7.loss_mask: 0.6009, decode.d7.loss_dice: 0.8569, decode.d8.loss_cls: 0.4143, decode.d8.loss_mask: 0.6013, decode.d8.loss_dice: 0.8575, loss: 20.4239, grad_norm: 74.4006 2023-11-22 04:29:35,864 - mmseg - INFO - Iter [44250/160000] lr: 6.891e-06, eta: 18:55:37, time: 0.621, data_time: 0.060, memory: 38143, decode.loss_cls: 0.3983, decode.loss_mask: 0.5961, decode.loss_dice: 0.8694, decode.d0.loss_cls: 1.5806, decode.d0.loss_mask: 0.6199, decode.d0.loss_dice: 0.9966, decode.d1.loss_cls: 0.5053, decode.d1.loss_mask: 0.6089, decode.d1.loss_dice: 0.9225, decode.d2.loss_cls: 0.4433, decode.d2.loss_mask: 0.6002, decode.d2.loss_dice: 0.8977, decode.d3.loss_cls: 0.4178, decode.d3.loss_mask: 0.5982, decode.d3.loss_dice: 0.8774, decode.d4.loss_cls: 0.4071, decode.d4.loss_mask: 0.5982, decode.d4.loss_dice: 0.8784, decode.d5.loss_cls: 0.4058, decode.d5.loss_mask: 0.5978, decode.d5.loss_dice: 0.8786, decode.d6.loss_cls: 0.4016, decode.d6.loss_mask: 0.5949, decode.d6.loss_dice: 0.8702, decode.d7.loss_cls: 0.3877, decode.d7.loss_mask: 0.5971, decode.d7.loss_dice: 0.8741, decode.d8.loss_cls: 0.3967, decode.d8.loss_mask: 0.5955, decode.d8.loss_dice: 0.8760, loss: 20.2920, grad_norm: 72.1166 2023-11-22 04:30:04,051 - mmseg - INFO - Iter [44300/160000] lr: 6.888e-06, eta: 18:55:05, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4033, decode.loss_mask: 0.5849, decode.loss_dice: 0.8704, decode.d0.loss_cls: 1.5621, decode.d0.loss_mask: 0.6214, decode.d0.loss_dice: 0.9950, decode.d1.loss_cls: 0.4960, decode.d1.loss_mask: 0.6081, decode.d1.loss_dice: 0.9236, decode.d2.loss_cls: 0.4443, decode.d2.loss_mask: 0.5921, decode.d2.loss_dice: 0.8958, decode.d3.loss_cls: 0.4194, decode.d3.loss_mask: 0.5916, decode.d3.loss_dice: 0.8750, decode.d4.loss_cls: 0.4147, decode.d4.loss_mask: 0.5897, decode.d4.loss_dice: 0.8778, decode.d5.loss_cls: 0.4073, decode.d5.loss_mask: 0.5879, decode.d5.loss_dice: 0.8723, decode.d6.loss_cls: 0.4043, decode.d6.loss_mask: 0.5843, decode.d6.loss_dice: 0.8697, decode.d7.loss_cls: 0.3942, decode.d7.loss_mask: 0.5856, decode.d7.loss_dice: 0.8745, decode.d8.loss_cls: 0.4035, decode.d8.loss_mask: 0.5849, decode.d8.loss_dice: 0.8724, loss: 20.2064, grad_norm: 67.2089 2023-11-22 04:30:32,342 - mmseg - INFO - Iter [44350/160000] lr: 6.885e-06, eta: 18:54:32, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4022, decode.loss_mask: 0.5869, decode.loss_dice: 0.8572, decode.d0.loss_cls: 1.6045, decode.d0.loss_mask: 0.6110, decode.d0.loss_dice: 0.9885, decode.d1.loss_cls: 0.5118, decode.d1.loss_mask: 0.6034, decode.d1.loss_dice: 0.9141, decode.d2.loss_cls: 0.4445, decode.d2.loss_mask: 0.5926, decode.d2.loss_dice: 0.8825, decode.d3.loss_cls: 0.4313, decode.d3.loss_mask: 0.5845, decode.d3.loss_dice: 0.8667, decode.d4.loss_cls: 0.4141, decode.d4.loss_mask: 0.5856, decode.d4.loss_dice: 0.8696, decode.d5.loss_cls: 0.4094, decode.d5.loss_mask: 0.5863, decode.d5.loss_dice: 0.8655, decode.d6.loss_cls: 0.4000, decode.d6.loss_mask: 0.5837, decode.d6.loss_dice: 0.8588, decode.d7.loss_cls: 0.4007, decode.d7.loss_mask: 0.5845, decode.d7.loss_dice: 0.8611, decode.d8.loss_cls: 0.3987, decode.d8.loss_mask: 0.5859, decode.d8.loss_dice: 0.8644, loss: 20.1501, grad_norm: 76.4057 2023-11-22 04:31:00,509 - mmseg - INFO - Iter [44400/160000] lr: 6.882e-06, eta: 18:54:00, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3865, decode.loss_mask: 0.5808, decode.loss_dice: 0.8282, decode.d0.loss_cls: 1.5676, decode.d0.loss_mask: 0.6236, decode.d0.loss_dice: 0.9558, decode.d1.loss_cls: 0.4913, decode.d1.loss_mask: 0.6098, decode.d1.loss_dice: 0.8859, decode.d2.loss_cls: 0.4285, decode.d2.loss_mask: 0.5948, decode.d2.loss_dice: 0.8619, decode.d3.loss_cls: 0.4110, decode.d3.loss_mask: 0.5908, decode.d3.loss_dice: 0.8387, decode.d4.loss_cls: 0.4055, decode.d4.loss_mask: 0.5859, decode.d4.loss_dice: 0.8355, decode.d5.loss_cls: 0.3937, decode.d5.loss_mask: 0.5873, decode.d5.loss_dice: 0.8380, decode.d6.loss_cls: 0.3886, decode.d6.loss_mask: 0.5837, decode.d6.loss_dice: 0.8289, decode.d7.loss_cls: 0.3866, decode.d7.loss_mask: 0.5839, decode.d7.loss_dice: 0.8300, decode.d8.loss_cls: 0.3902, decode.d8.loss_mask: 0.5840, decode.d8.loss_dice: 0.8302, loss: 19.7076, grad_norm: 74.8688 2023-11-22 04:31:28,615 - mmseg - INFO - Iter [44450/160000] lr: 6.879e-06, eta: 18:53:27, time: 0.562, data_time: 0.012, memory: 38143, decode.loss_cls: 0.4019, decode.loss_mask: 0.5728, decode.loss_dice: 0.8619, decode.d0.loss_cls: 1.5757, decode.d0.loss_mask: 0.6078, decode.d0.loss_dice: 0.9959, decode.d1.loss_cls: 0.5145, decode.d1.loss_mask: 0.5948, decode.d1.loss_dice: 0.9282, decode.d2.loss_cls: 0.4431, decode.d2.loss_mask: 0.5861, decode.d2.loss_dice: 0.8931, decode.d3.loss_cls: 0.4207, decode.d3.loss_mask: 0.5784, decode.d3.loss_dice: 0.8726, decode.d4.loss_cls: 0.4128, decode.d4.loss_mask: 0.5797, decode.d4.loss_dice: 0.8693, decode.d5.loss_cls: 0.4108, decode.d5.loss_mask: 0.5783, decode.d5.loss_dice: 0.8730, decode.d6.loss_cls: 0.4044, decode.d6.loss_mask: 0.5730, decode.d6.loss_dice: 0.8644, decode.d7.loss_cls: 0.4047, decode.d7.loss_mask: 0.5758, decode.d7.loss_dice: 0.8688, decode.d8.loss_cls: 0.3997, decode.d8.loss_mask: 0.5736, decode.d8.loss_dice: 0.8663, loss: 20.1021, grad_norm: 70.3061 2023-11-22 04:31:57,041 - mmseg - INFO - Iter [44500/160000] lr: 6.876e-06, eta: 18:52:55, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4289, decode.loss_mask: 0.5858, decode.loss_dice: 0.8678, decode.d0.loss_cls: 1.6048, decode.d0.loss_mask: 0.6228, decode.d0.loss_dice: 1.0027, decode.d1.loss_cls: 0.5343, decode.d1.loss_mask: 0.6112, decode.d1.loss_dice: 0.9286, decode.d2.loss_cls: 0.4738, decode.d2.loss_mask: 0.5931, decode.d2.loss_dice: 0.8919, decode.d3.loss_cls: 0.4514, decode.d3.loss_mask: 0.5837, decode.d3.loss_dice: 0.8759, decode.d4.loss_cls: 0.4354, decode.d4.loss_mask: 0.5831, decode.d4.loss_dice: 0.8786, decode.d5.loss_cls: 0.4354, decode.d5.loss_mask: 0.5834, decode.d5.loss_dice: 0.8713, decode.d6.loss_cls: 0.4326, decode.d6.loss_mask: 0.5811, decode.d6.loss_dice: 0.8702, decode.d7.loss_cls: 0.4204, decode.d7.loss_mask: 0.5852, decode.d7.loss_dice: 0.8679, decode.d8.loss_cls: 0.4263, decode.d8.loss_mask: 0.5831, decode.d8.loss_dice: 0.8709, loss: 20.4818, grad_norm: 72.9988 2023-11-22 04:32:25,707 - mmseg - INFO - Iter [44550/160000] lr: 6.873e-06, eta: 18:52:23, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4292, decode.loss_mask: 0.5711, decode.loss_dice: 0.8548, decode.d0.loss_cls: 1.6266, decode.d0.loss_mask: 0.6072, decode.d0.loss_dice: 0.9846, decode.d1.loss_cls: 0.5331, decode.d1.loss_mask: 0.5968, decode.d1.loss_dice: 0.9115, decode.d2.loss_cls: 0.4692, decode.d2.loss_mask: 0.5838, decode.d2.loss_dice: 0.8931, decode.d3.loss_cls: 0.4456, decode.d3.loss_mask: 0.5768, decode.d3.loss_dice: 0.8698, decode.d4.loss_cls: 0.4348, decode.d4.loss_mask: 0.5739, decode.d4.loss_dice: 0.8715, decode.d5.loss_cls: 0.4300, decode.d5.loss_mask: 0.5717, decode.d5.loss_dice: 0.8681, decode.d6.loss_cls: 0.4297, decode.d6.loss_mask: 0.5708, decode.d6.loss_dice: 0.8571, decode.d7.loss_cls: 0.4236, decode.d7.loss_mask: 0.5696, decode.d7.loss_dice: 0.8530, decode.d8.loss_cls: 0.4249, decode.d8.loss_mask: 0.5700, decode.d8.loss_dice: 0.8573, loss: 20.2588, grad_norm: 76.5396 2023-11-22 04:32:53,844 - mmseg - INFO - Iter [44600/160000] lr: 6.870e-06, eta: 18:51:50, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4074, decode.loss_mask: 0.5730, decode.loss_dice: 0.8390, decode.d0.loss_cls: 1.5801, decode.d0.loss_mask: 0.6071, decode.d0.loss_dice: 0.9730, decode.d1.loss_cls: 0.5057, decode.d1.loss_mask: 0.5909, decode.d1.loss_dice: 0.8967, decode.d2.loss_cls: 0.4467, decode.d2.loss_mask: 0.5814, decode.d2.loss_dice: 0.8654, decode.d3.loss_cls: 0.4228, decode.d3.loss_mask: 0.5755, decode.d3.loss_dice: 0.8508, decode.d4.loss_cls: 0.4139, decode.d4.loss_mask: 0.5791, decode.d4.loss_dice: 0.8527, decode.d5.loss_cls: 0.4081, decode.d5.loss_mask: 0.5785, decode.d5.loss_dice: 0.8455, decode.d6.loss_cls: 0.4089, decode.d6.loss_mask: 0.5747, decode.d6.loss_dice: 0.8381, decode.d7.loss_cls: 0.4040, decode.d7.loss_mask: 0.5738, decode.d7.loss_dice: 0.8451, decode.d8.loss_cls: 0.4044, decode.d8.loss_mask: 0.5733, decode.d8.loss_dice: 0.8453, loss: 19.8607, grad_norm: 71.1391 2023-11-22 04:33:21,959 - mmseg - INFO - Iter [44650/160000] lr: 6.867e-06, eta: 18:51:18, time: 0.562, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4212, decode.loss_mask: 0.5866, decode.loss_dice: 0.8613, decode.d0.loss_cls: 1.5912, decode.d0.loss_mask: 0.6245, decode.d0.loss_dice: 0.9908, decode.d1.loss_cls: 0.5233, decode.d1.loss_mask: 0.6133, decode.d1.loss_dice: 0.9272, decode.d2.loss_cls: 0.4672, decode.d2.loss_mask: 0.6032, decode.d2.loss_dice: 0.8824, decode.d3.loss_cls: 0.4456, decode.d3.loss_mask: 0.5921, decode.d3.loss_dice: 0.8637, decode.d4.loss_cls: 0.4377, decode.d4.loss_mask: 0.5940, decode.d4.loss_dice: 0.8690, decode.d5.loss_cls: 0.4312, decode.d5.loss_mask: 0.5859, decode.d5.loss_dice: 0.8657, decode.d6.loss_cls: 0.4338, decode.d6.loss_mask: 0.5848, decode.d6.loss_dice: 0.8596, decode.d7.loss_cls: 0.4266, decode.d7.loss_mask: 0.5862, decode.d7.loss_dice: 0.8573, decode.d8.loss_cls: 0.4246, decode.d8.loss_mask: 0.5869, decode.d8.loss_dice: 0.8613, loss: 20.3983, grad_norm: 70.5352 2023-11-22 04:33:50,089 - mmseg - INFO - Iter [44700/160000] lr: 6.864e-06, eta: 18:50:45, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4040, decode.loss_mask: 0.5837, decode.loss_dice: 0.8535, decode.d0.loss_cls: 1.5674, decode.d0.loss_mask: 0.6307, decode.d0.loss_dice: 0.9761, decode.d1.loss_cls: 0.5079, decode.d1.loss_mask: 0.6103, decode.d1.loss_dice: 0.9010, decode.d2.loss_cls: 0.4558, decode.d2.loss_mask: 0.5934, decode.d2.loss_dice: 0.8779, decode.d3.loss_cls: 0.4266, decode.d3.loss_mask: 0.5883, decode.d3.loss_dice: 0.8624, decode.d4.loss_cls: 0.4162, decode.d4.loss_mask: 0.5862, decode.d4.loss_dice: 0.8573, decode.d5.loss_cls: 0.4171, decode.d5.loss_mask: 0.5836, decode.d5.loss_dice: 0.8615, decode.d6.loss_cls: 0.4109, decode.d6.loss_mask: 0.5841, decode.d6.loss_dice: 0.8511, decode.d7.loss_cls: 0.4036, decode.d7.loss_mask: 0.5825, decode.d7.loss_dice: 0.8525, decode.d8.loss_cls: 0.4054, decode.d8.loss_mask: 0.5844, decode.d8.loss_dice: 0.8485, loss: 20.0841, grad_norm: 75.0323 2023-11-22 04:34:18,362 - mmseg - INFO - Iter [44750/160000] lr: 6.861e-06, eta: 18:50:13, time: 0.565, data_time: 0.015, memory: 38143, decode.loss_cls: 0.4302, decode.loss_mask: 0.6113, decode.loss_dice: 0.8939, decode.d0.loss_cls: 1.5961, decode.d0.loss_mask: 0.6368, decode.d0.loss_dice: 1.0258, decode.d1.loss_cls: 0.5303, decode.d1.loss_mask: 0.6353, decode.d1.loss_dice: 0.9553, decode.d2.loss_cls: 0.4735, decode.d2.loss_mask: 0.6209, decode.d2.loss_dice: 0.9284, decode.d3.loss_cls: 0.4517, decode.d3.loss_mask: 0.6140, decode.d3.loss_dice: 0.9078, decode.d4.loss_cls: 0.4408, decode.d4.loss_mask: 0.6164, decode.d4.loss_dice: 0.9059, decode.d5.loss_cls: 0.4376, decode.d5.loss_mask: 0.6101, decode.d5.loss_dice: 0.9002, decode.d6.loss_cls: 0.4359, decode.d6.loss_mask: 0.6129, decode.d6.loss_dice: 0.8989, decode.d7.loss_cls: 0.4299, decode.d7.loss_mask: 0.6109, decode.d7.loss_dice: 0.8965, decode.d8.loss_cls: 0.4347, decode.d8.loss_mask: 0.6098, decode.d8.loss_dice: 0.8944, loss: 21.0461, grad_norm: 74.3959 2023-11-22 04:34:46,777 - mmseg - INFO - Iter [44800/160000] lr: 6.858e-06, eta: 18:49:41, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4451, decode.loss_mask: 0.5686, decode.loss_dice: 0.8425, decode.d0.loss_cls: 1.6155, decode.d0.loss_mask: 0.6099, decode.d0.loss_dice: 0.9780, decode.d1.loss_cls: 0.5423, decode.d1.loss_mask: 0.5913, decode.d1.loss_dice: 0.9058, decode.d2.loss_cls: 0.4831, decode.d2.loss_mask: 0.5812, decode.d2.loss_dice: 0.8706, decode.d3.loss_cls: 0.4602, decode.d3.loss_mask: 0.5753, decode.d3.loss_dice: 0.8545, decode.d4.loss_cls: 0.4475, decode.d4.loss_mask: 0.5716, decode.d4.loss_dice: 0.8542, decode.d5.loss_cls: 0.4448, decode.d5.loss_mask: 0.5720, decode.d5.loss_dice: 0.8584, decode.d6.loss_cls: 0.4459, decode.d6.loss_mask: 0.5685, decode.d6.loss_dice: 0.8405, decode.d7.loss_cls: 0.4468, decode.d7.loss_mask: 0.5690, decode.d7.loss_dice: 0.8439, decode.d8.loss_cls: 0.4460, decode.d8.loss_mask: 0.5693, decode.d8.loss_dice: 0.8427, loss: 20.2450, grad_norm: 66.2400 2023-11-22 04:35:15,321 - mmseg - INFO - Iter [44850/160000] lr: 6.855e-06, eta: 18:49:09, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3999, decode.loss_mask: 0.6004, decode.loss_dice: 0.8563, decode.d0.loss_cls: 1.5347, decode.d0.loss_mask: 0.6426, decode.d0.loss_dice: 0.9839, decode.d1.loss_cls: 0.5070, decode.d1.loss_mask: 0.6276, decode.d1.loss_dice: 0.9119, decode.d2.loss_cls: 0.4457, decode.d2.loss_mask: 0.6131, decode.d2.loss_dice: 0.8775, decode.d3.loss_cls: 0.4284, decode.d3.loss_mask: 0.6067, decode.d3.loss_dice: 0.8587, decode.d4.loss_cls: 0.4182, decode.d4.loss_mask: 0.6081, decode.d4.loss_dice: 0.8608, decode.d5.loss_cls: 0.4149, decode.d5.loss_mask: 0.6049, decode.d5.loss_dice: 0.8553, decode.d6.loss_cls: 0.4106, decode.d6.loss_mask: 0.5987, decode.d6.loss_dice: 0.8481, decode.d7.loss_cls: 0.4056, decode.d7.loss_mask: 0.5991, decode.d7.loss_dice: 0.8551, decode.d8.loss_cls: 0.4000, decode.d8.loss_mask: 0.6012, decode.d8.loss_dice: 0.8543, loss: 20.2293, grad_norm: 78.8392 2023-11-22 04:35:43,522 - mmseg - INFO - Iter [44900/160000] lr: 6.852e-06, eta: 18:48:36, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3991, decode.loss_mask: 0.5838, decode.loss_dice: 0.8593, decode.d0.loss_cls: 1.5616, decode.d0.loss_mask: 0.6187, decode.d0.loss_dice: 0.9807, decode.d1.loss_cls: 0.5064, decode.d1.loss_mask: 0.6068, decode.d1.loss_dice: 0.9176, decode.d2.loss_cls: 0.4474, decode.d2.loss_mask: 0.5967, decode.d2.loss_dice: 0.8904, decode.d3.loss_cls: 0.4168, decode.d3.loss_mask: 0.5894, decode.d3.loss_dice: 0.8649, decode.d4.loss_cls: 0.4038, decode.d4.loss_mask: 0.5892, decode.d4.loss_dice: 0.8727, decode.d5.loss_cls: 0.4058, decode.d5.loss_mask: 0.5890, decode.d5.loss_dice: 0.8652, decode.d6.loss_cls: 0.3977, decode.d6.loss_mask: 0.5845, decode.d6.loss_dice: 0.8549, decode.d7.loss_cls: 0.3962, decode.d7.loss_mask: 0.5898, decode.d7.loss_dice: 0.8554, decode.d8.loss_cls: 0.3991, decode.d8.loss_mask: 0.5864, decode.d8.loss_dice: 0.8575, loss: 20.0867, grad_norm: 68.3146 2023-11-22 04:36:11,856 - mmseg - INFO - Iter [44950/160000] lr: 6.849e-06, eta: 18:48:04, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4125, decode.loss_mask: 0.5732, decode.loss_dice: 0.8467, decode.d0.loss_cls: 1.5785, decode.d0.loss_mask: 0.6166, decode.d0.loss_dice: 0.9880, decode.d1.loss_cls: 0.5131, decode.d1.loss_mask: 0.5983, decode.d1.loss_dice: 0.9103, decode.d2.loss_cls: 0.4555, decode.d2.loss_mask: 0.5816, decode.d2.loss_dice: 0.8800, decode.d3.loss_cls: 0.4323, decode.d3.loss_mask: 0.5784, decode.d3.loss_dice: 0.8596, decode.d4.loss_cls: 0.4218, decode.d4.loss_mask: 0.5756, decode.d4.loss_dice: 0.8573, decode.d5.loss_cls: 0.4259, decode.d5.loss_mask: 0.5737, decode.d5.loss_dice: 0.8481, decode.d6.loss_cls: 0.4220, decode.d6.loss_mask: 0.5719, decode.d6.loss_dice: 0.8455, decode.d7.loss_cls: 0.4210, decode.d7.loss_mask: 0.5710, decode.d7.loss_dice: 0.8477, decode.d8.loss_cls: 0.4137, decode.d8.loss_mask: 0.5735, decode.d8.loss_dice: 0.8507, loss: 20.0440, grad_norm: 70.7989 2023-11-22 04:36:40,150 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 04:36:40,151 - mmseg - INFO - Iter [45000/160000] lr: 6.846e-06, eta: 18:47:32, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4359, decode.loss_mask: 0.6036, decode.loss_dice: 0.8759, decode.d0.loss_cls: 1.6039, decode.d0.loss_mask: 0.6516, decode.d0.loss_dice: 1.0155, decode.d1.loss_cls: 0.5356, decode.d1.loss_mask: 0.6334, decode.d1.loss_dice: 0.9411, decode.d2.loss_cls: 0.4718, decode.d2.loss_mask: 0.6215, decode.d2.loss_dice: 0.9128, decode.d3.loss_cls: 0.4541, decode.d3.loss_mask: 0.6109, decode.d3.loss_dice: 0.8850, decode.d4.loss_cls: 0.4463, decode.d4.loss_mask: 0.6063, decode.d4.loss_dice: 0.8847, decode.d5.loss_cls: 0.4410, decode.d5.loss_mask: 0.6071, decode.d5.loss_dice: 0.8846, decode.d6.loss_cls: 0.4382, decode.d6.loss_mask: 0.6073, decode.d6.loss_dice: 0.8699, decode.d7.loss_cls: 0.4351, decode.d7.loss_mask: 0.6065, decode.d7.loss_dice: 0.8773, decode.d8.loss_cls: 0.4333, decode.d8.loss_mask: 0.6053, decode.d8.loss_dice: 0.8769, loss: 20.8724, grad_norm: 72.8987 2023-11-22 04:37:08,362 - mmseg - INFO - Iter [45050/160000] lr: 6.843e-06, eta: 18:46:59, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4167, decode.loss_mask: 0.5926, decode.loss_dice: 0.8767, decode.d0.loss_cls: 1.5761, decode.d0.loss_mask: 0.6349, decode.d0.loss_dice: 1.0111, decode.d1.loss_cls: 0.5100, decode.d1.loss_mask: 0.6158, decode.d1.loss_dice: 0.9349, decode.d2.loss_cls: 0.4620, decode.d2.loss_mask: 0.6034, decode.d2.loss_dice: 0.9072, decode.d3.loss_cls: 0.4373, decode.d3.loss_mask: 0.6000, decode.d3.loss_dice: 0.8907, decode.d4.loss_cls: 0.4249, decode.d4.loss_mask: 0.5981, decode.d4.loss_dice: 0.8881, decode.d5.loss_cls: 0.4196, decode.d5.loss_mask: 0.5996, decode.d5.loss_dice: 0.8835, decode.d6.loss_cls: 0.4244, decode.d6.loss_mask: 0.5939, decode.d6.loss_dice: 0.8768, decode.d7.loss_cls: 0.4166, decode.d7.loss_mask: 0.5950, decode.d7.loss_dice: 0.8807, decode.d8.loss_cls: 0.4201, decode.d8.loss_mask: 0.5949, decode.d8.loss_dice: 0.8823, loss: 20.5677, grad_norm: 70.9145 2023-11-22 04:37:36,971 - mmseg - INFO - Iter [45100/160000] lr: 6.840e-06, eta: 18:46:28, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4276, decode.loss_mask: 0.5926, decode.loss_dice: 0.8681, decode.d0.loss_cls: 1.5709, decode.d0.loss_mask: 0.6285, decode.d0.loss_dice: 0.9944, decode.d1.loss_cls: 0.5225, decode.d1.loss_mask: 0.6217, decode.d1.loss_dice: 0.9253, decode.d2.loss_cls: 0.4656, decode.d2.loss_mask: 0.6052, decode.d2.loss_dice: 0.8968, decode.d3.loss_cls: 0.4362, decode.d3.loss_mask: 0.5965, decode.d3.loss_dice: 0.8815, decode.d4.loss_cls: 0.4365, decode.d4.loss_mask: 0.5974, decode.d4.loss_dice: 0.8786, decode.d5.loss_cls: 0.4289, decode.d5.loss_mask: 0.5964, decode.d5.loss_dice: 0.8713, decode.d6.loss_cls: 0.4270, decode.d6.loss_mask: 0.5952, decode.d6.loss_dice: 0.8720, decode.d7.loss_cls: 0.4297, decode.d7.loss_mask: 0.5934, decode.d7.loss_dice: 0.8712, decode.d8.loss_cls: 0.4244, decode.d8.loss_mask: 0.5941, decode.d8.loss_dice: 0.8729, loss: 20.5225, grad_norm: 70.6758 2023-11-22 04:38:05,459 - mmseg - INFO - Iter [45150/160000] lr: 6.837e-06, eta: 18:45:56, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4091, decode.loss_mask: 0.5932, decode.loss_dice: 0.8752, decode.d0.loss_cls: 1.5583, decode.d0.loss_mask: 0.6344, decode.d0.loss_dice: 0.9980, decode.d1.loss_cls: 0.5042, decode.d1.loss_mask: 0.6174, decode.d1.loss_dice: 0.9321, decode.d2.loss_cls: 0.4558, decode.d2.loss_mask: 0.6049, decode.d2.loss_dice: 0.9048, decode.d3.loss_cls: 0.4343, decode.d3.loss_mask: 0.5978, decode.d3.loss_dice: 0.8813, decode.d4.loss_cls: 0.4156, decode.d4.loss_mask: 0.5983, decode.d4.loss_dice: 0.8850, decode.d5.loss_cls: 0.4119, decode.d5.loss_mask: 0.5981, decode.d5.loss_dice: 0.8740, decode.d6.loss_cls: 0.4087, decode.d6.loss_mask: 0.5999, decode.d6.loss_dice: 0.8761, decode.d7.loss_cls: 0.4006, decode.d7.loss_mask: 0.5958, decode.d7.loss_dice: 0.8766, decode.d8.loss_cls: 0.4043, decode.d8.loss_mask: 0.5928, decode.d8.loss_dice: 0.8728, loss: 20.4112, grad_norm: 71.8185 2023-11-22 04:38:33,708 - mmseg - INFO - Iter [45200/160000] lr: 6.834e-06, eta: 18:45:24, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4262, decode.loss_mask: 0.6029, decode.loss_dice: 0.8659, decode.d0.loss_cls: 1.6001, decode.d0.loss_mask: 0.6408, decode.d0.loss_dice: 0.9922, decode.d1.loss_cls: 0.5208, decode.d1.loss_mask: 0.6244, decode.d1.loss_dice: 0.9240, decode.d2.loss_cls: 0.4612, decode.d2.loss_mask: 0.6125, decode.d2.loss_dice: 0.8986, decode.d3.loss_cls: 0.4422, decode.d3.loss_mask: 0.6102, decode.d3.loss_dice: 0.8791, decode.d4.loss_cls: 0.4369, decode.d4.loss_mask: 0.6071, decode.d4.loss_dice: 0.8794, decode.d5.loss_cls: 0.4307, decode.d5.loss_mask: 0.6052, decode.d5.loss_dice: 0.8764, decode.d6.loss_cls: 0.4229, decode.d6.loss_mask: 0.6069, decode.d6.loss_dice: 0.8717, decode.d7.loss_cls: 0.4189, decode.d7.loss_mask: 0.6032, decode.d7.loss_dice: 0.8777, decode.d8.loss_cls: 0.4178, decode.d8.loss_mask: 0.6046, decode.d8.loss_dice: 0.8771, loss: 20.6376, grad_norm: 75.5413 2023-11-22 04:39:02,008 - mmseg - INFO - Iter [45250/160000] lr: 6.831e-06, eta: 18:44:52, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4078, decode.loss_mask: 0.5924, decode.loss_dice: 0.8721, decode.d0.loss_cls: 1.6041, decode.d0.loss_mask: 0.6339, decode.d0.loss_dice: 1.0018, decode.d1.loss_cls: 0.5152, decode.d1.loss_mask: 0.6171, decode.d1.loss_dice: 0.9345, decode.d2.loss_cls: 0.4533, decode.d2.loss_mask: 0.6022, decode.d2.loss_dice: 0.8936, decode.d3.loss_cls: 0.4295, decode.d3.loss_mask: 0.5978, decode.d3.loss_dice: 0.8782, decode.d4.loss_cls: 0.4189, decode.d4.loss_mask: 0.5948, decode.d4.loss_dice: 0.8779, decode.d5.loss_cls: 0.4122, decode.d5.loss_mask: 0.5981, decode.d5.loss_dice: 0.8750, decode.d6.loss_cls: 0.4074, decode.d6.loss_mask: 0.5919, decode.d6.loss_dice: 0.8667, decode.d7.loss_cls: 0.4092, decode.d7.loss_mask: 0.5919, decode.d7.loss_dice: 0.8702, decode.d8.loss_cls: 0.4066, decode.d8.loss_mask: 0.5914, decode.d8.loss_dice: 0.8727, loss: 20.4183, grad_norm: 70.6159 2023-11-22 04:39:30,153 - mmseg - INFO - Iter [45300/160000] lr: 6.828e-06, eta: 18:44:19, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4153, decode.loss_mask: 0.5817, decode.loss_dice: 0.8604, decode.d0.loss_cls: 1.5848, decode.d0.loss_mask: 0.6160, decode.d0.loss_dice: 0.9855, decode.d1.loss_cls: 0.5248, decode.d1.loss_mask: 0.6075, decode.d1.loss_dice: 0.9132, decode.d2.loss_cls: 0.4588, decode.d2.loss_mask: 0.5888, decode.d2.loss_dice: 0.8884, decode.d3.loss_cls: 0.4453, decode.d3.loss_mask: 0.5863, decode.d3.loss_dice: 0.8675, decode.d4.loss_cls: 0.4319, decode.d4.loss_mask: 0.5886, decode.d4.loss_dice: 0.8687, decode.d5.loss_cls: 0.4228, decode.d5.loss_mask: 0.5867, decode.d5.loss_dice: 0.8663, decode.d6.loss_cls: 0.4223, decode.d6.loss_mask: 0.5848, decode.d6.loss_dice: 0.8601, decode.d7.loss_cls: 0.4213, decode.d7.loss_mask: 0.5859, decode.d7.loss_dice: 0.8612, decode.d8.loss_cls: 0.4153, decode.d8.loss_mask: 0.5845, decode.d8.loss_dice: 0.8620, loss: 20.2867, grad_norm: 71.9758 2023-11-22 04:39:58,276 - mmseg - INFO - Iter [45350/160000] lr: 6.825e-06, eta: 18:43:46, time: 0.562, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4251, decode.loss_mask: 0.5922, decode.loss_dice: 0.8811, decode.d0.loss_cls: 1.5567, decode.d0.loss_mask: 0.6373, decode.d0.loss_dice: 1.0065, decode.d1.loss_cls: 0.5113, decode.d1.loss_mask: 0.6180, decode.d1.loss_dice: 0.9416, decode.d2.loss_cls: 0.4656, decode.d2.loss_mask: 0.6055, decode.d2.loss_dice: 0.9128, decode.d3.loss_cls: 0.4483, decode.d3.loss_mask: 0.5988, decode.d3.loss_dice: 0.9005, decode.d4.loss_cls: 0.4385, decode.d4.loss_mask: 0.5978, decode.d4.loss_dice: 0.8968, decode.d5.loss_cls: 0.4245, decode.d5.loss_mask: 0.5946, decode.d5.loss_dice: 0.8958, decode.d6.loss_cls: 0.4274, decode.d6.loss_mask: 0.5930, decode.d6.loss_dice: 0.8946, decode.d7.loss_cls: 0.4241, decode.d7.loss_mask: 0.5924, decode.d7.loss_dice: 0.8880, decode.d8.loss_cls: 0.4304, decode.d8.loss_mask: 0.5932, decode.d8.loss_dice: 0.8886, loss: 20.6812, grad_norm: 73.3044 2023-11-22 04:40:26,908 - mmseg - INFO - Iter [45400/160000] lr: 6.822e-06, eta: 18:43:15, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4188, decode.loss_mask: 0.6030, decode.loss_dice: 0.8532, decode.d0.loss_cls: 1.5819, decode.d0.loss_mask: 0.6429, decode.d0.loss_dice: 0.9674, decode.d1.loss_cls: 0.5114, decode.d1.loss_mask: 0.6265, decode.d1.loss_dice: 0.9043, decode.d2.loss_cls: 0.4556, decode.d2.loss_mask: 0.6131, decode.d2.loss_dice: 0.8769, decode.d3.loss_cls: 0.4360, decode.d3.loss_mask: 0.6044, decode.d3.loss_dice: 0.8587, decode.d4.loss_cls: 0.4259, decode.d4.loss_mask: 0.6044, decode.d4.loss_dice: 0.8583, decode.d5.loss_cls: 0.4187, decode.d5.loss_mask: 0.6034, decode.d5.loss_dice: 0.8620, decode.d6.loss_cls: 0.4213, decode.d6.loss_mask: 0.6052, decode.d6.loss_dice: 0.8537, decode.d7.loss_cls: 0.4145, decode.d7.loss_mask: 0.6040, decode.d7.loss_dice: 0.8561, decode.d8.loss_cls: 0.4182, decode.d8.loss_mask: 0.6024, decode.d8.loss_dice: 0.8523, loss: 20.3546, grad_norm: 78.8300 2023-11-22 04:40:55,308 - mmseg - INFO - Iter [45450/160000] lr: 6.819e-06, eta: 18:42:43, time: 0.570, data_time: 0.015, memory: 38143, decode.loss_cls: 0.4220, decode.loss_mask: 0.6119, decode.loss_dice: 0.8972, decode.d0.loss_cls: 1.6021, decode.d0.loss_mask: 0.6535, decode.d0.loss_dice: 1.0058, decode.d1.loss_cls: 0.5221, decode.d1.loss_mask: 0.6383, decode.d1.loss_dice: 0.9455, decode.d2.loss_cls: 0.4628, decode.d2.loss_mask: 0.6274, decode.d2.loss_dice: 0.9211, decode.d3.loss_cls: 0.4487, decode.d3.loss_mask: 0.6187, decode.d3.loss_dice: 0.8985, decode.d4.loss_cls: 0.4366, decode.d4.loss_mask: 0.6173, decode.d4.loss_dice: 0.9015, decode.d5.loss_cls: 0.4282, decode.d5.loss_mask: 0.6182, decode.d5.loss_dice: 0.9019, decode.d6.loss_cls: 0.4241, decode.d6.loss_mask: 0.6132, decode.d6.loss_dice: 0.8922, decode.d7.loss_cls: 0.4210, decode.d7.loss_mask: 0.6133, decode.d7.loss_dice: 0.8983, decode.d8.loss_cls: 0.4217, decode.d8.loss_mask: 0.6133, decode.d8.loss_dice: 0.8960, loss: 20.9723, grad_norm: 75.6182 2023-11-22 04:41:25,950 - mmseg - INFO - Iter [45500/160000] lr: 6.816e-06, eta: 18:42:17, time: 0.613, data_time: 0.058, memory: 38143, decode.loss_cls: 0.4037, decode.loss_mask: 0.5972, decode.loss_dice: 0.8646, decode.d0.loss_cls: 1.5795, decode.d0.loss_mask: 0.6354, decode.d0.loss_dice: 0.9978, decode.d1.loss_cls: 0.5129, decode.d1.loss_mask: 0.6206, decode.d1.loss_dice: 0.9257, decode.d2.loss_cls: 0.4498, decode.d2.loss_mask: 0.6084, decode.d2.loss_dice: 0.8972, decode.d3.loss_cls: 0.4269, decode.d3.loss_mask: 0.5974, decode.d3.loss_dice: 0.8765, decode.d4.loss_cls: 0.4178, decode.d4.loss_mask: 0.5959, decode.d4.loss_dice: 0.8785, decode.d5.loss_cls: 0.4158, decode.d5.loss_mask: 0.5972, decode.d5.loss_dice: 0.8714, decode.d6.loss_cls: 0.4087, decode.d6.loss_mask: 0.5942, decode.d6.loss_dice: 0.8678, decode.d7.loss_cls: 0.4039, decode.d7.loss_mask: 0.5963, decode.d7.loss_dice: 0.8676, decode.d8.loss_cls: 0.4064, decode.d8.loss_mask: 0.5991, decode.d8.loss_dice: 0.8693, loss: 20.3837, grad_norm: 76.8143 2023-11-22 04:41:54,185 - mmseg - INFO - Iter [45550/160000] lr: 6.813e-06, eta: 18:41:44, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4021, decode.loss_mask: 0.6187, decode.loss_dice: 0.8686, decode.d0.loss_cls: 1.5478, decode.d0.loss_mask: 0.6621, decode.d0.loss_dice: 0.9923, decode.d1.loss_cls: 0.4969, decode.d1.loss_mask: 0.6505, decode.d1.loss_dice: 0.9261, decode.d2.loss_cls: 0.4401, decode.d2.loss_mask: 0.6344, decode.d2.loss_dice: 0.8992, decode.d3.loss_cls: 0.4201, decode.d3.loss_mask: 0.6271, decode.d3.loss_dice: 0.8798, decode.d4.loss_cls: 0.4140, decode.d4.loss_mask: 0.6255, decode.d4.loss_dice: 0.8859, decode.d5.loss_cls: 0.4076, decode.d5.loss_mask: 0.6224, decode.d5.loss_dice: 0.8764, decode.d6.loss_cls: 0.4042, decode.d6.loss_mask: 0.6189, decode.d6.loss_dice: 0.8699, decode.d7.loss_cls: 0.4076, decode.d7.loss_mask: 0.6183, decode.d7.loss_dice: 0.8716, decode.d8.loss_cls: 0.4049, decode.d8.loss_mask: 0.6176, decode.d8.loss_dice: 0.8744, loss: 20.5849, grad_norm: 76.7792 2023-11-22 04:42:22,362 - mmseg - INFO - Iter [45600/160000] lr: 6.810e-06, eta: 18:41:12, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4063, decode.loss_mask: 0.5910, decode.loss_dice: 0.8737, decode.d0.loss_cls: 1.5871, decode.d0.loss_mask: 0.6263, decode.d0.loss_dice: 1.0070, decode.d1.loss_cls: 0.5219, decode.d1.loss_mask: 0.6073, decode.d1.loss_dice: 0.9254, decode.d2.loss_cls: 0.4577, decode.d2.loss_mask: 0.5975, decode.d2.loss_dice: 0.8985, decode.d3.loss_cls: 0.4333, decode.d3.loss_mask: 0.5937, decode.d3.loss_dice: 0.8784, decode.d4.loss_cls: 0.4294, decode.d4.loss_mask: 0.5893, decode.d4.loss_dice: 0.8788, decode.d5.loss_cls: 0.4189, decode.d5.loss_mask: 0.5869, decode.d5.loss_dice: 0.8731, decode.d6.loss_cls: 0.4131, decode.d6.loss_mask: 0.5924, decode.d6.loss_dice: 0.8697, decode.d7.loss_cls: 0.4111, decode.d7.loss_mask: 0.5927, decode.d7.loss_dice: 0.8732, decode.d8.loss_cls: 0.4025, decode.d8.loss_mask: 0.5919, decode.d8.loss_dice: 0.8780, loss: 20.4057, grad_norm: 72.2471 2023-11-22 04:42:50,418 - mmseg - INFO - Iter [45650/160000] lr: 6.807e-06, eta: 18:40:39, time: 0.561, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3765, decode.loss_mask: 0.5950, decode.loss_dice: 0.8475, decode.d0.loss_cls: 1.5330, decode.d0.loss_mask: 0.6397, decode.d0.loss_dice: 0.9709, decode.d1.loss_cls: 0.4835, decode.d1.loss_mask: 0.6193, decode.d1.loss_dice: 0.8997, decode.d2.loss_cls: 0.4243, decode.d2.loss_mask: 0.6139, decode.d2.loss_dice: 0.8697, decode.d3.loss_cls: 0.4000, decode.d3.loss_mask: 0.6041, decode.d3.loss_dice: 0.8493, decode.d4.loss_cls: 0.3919, decode.d4.loss_mask: 0.6024, decode.d4.loss_dice: 0.8523, decode.d5.loss_cls: 0.3905, decode.d5.loss_mask: 0.5978, decode.d5.loss_dice: 0.8542, decode.d6.loss_cls: 0.3873, decode.d6.loss_mask: 0.5935, decode.d6.loss_dice: 0.8450, decode.d7.loss_cls: 0.3849, decode.d7.loss_mask: 0.5975, decode.d7.loss_dice: 0.8439, decode.d8.loss_cls: 0.3762, decode.d8.loss_mask: 0.5976, decode.d8.loss_dice: 0.8479, loss: 19.8893, grad_norm: 73.3012 2023-11-22 04:43:18,926 - mmseg - INFO - Iter [45700/160000] lr: 6.804e-06, eta: 18:40:07, time: 0.570, data_time: 0.015, memory: 38143, decode.loss_cls: 0.4074, decode.loss_mask: 0.5618, decode.loss_dice: 0.8364, decode.d0.loss_cls: 1.5621, decode.d0.loss_mask: 0.6062, decode.d0.loss_dice: 0.9598, decode.d1.loss_cls: 0.5050, decode.d1.loss_mask: 0.5864, decode.d1.loss_dice: 0.8885, decode.d2.loss_cls: 0.4450, decode.d2.loss_mask: 0.5756, decode.d2.loss_dice: 0.8578, decode.d3.loss_cls: 0.4198, decode.d3.loss_mask: 0.5683, decode.d3.loss_dice: 0.8412, decode.d4.loss_cls: 0.4162, decode.d4.loss_mask: 0.5684, decode.d4.loss_dice: 0.8413, decode.d5.loss_cls: 0.4129, decode.d5.loss_mask: 0.5640, decode.d5.loss_dice: 0.8378, decode.d6.loss_cls: 0.4118, decode.d6.loss_mask: 0.5653, decode.d6.loss_dice: 0.8380, decode.d7.loss_cls: 0.4126, decode.d7.loss_mask: 0.5637, decode.d7.loss_dice: 0.8293, decode.d8.loss_cls: 0.4063, decode.d8.loss_mask: 0.5638, decode.d8.loss_dice: 0.8308, loss: 19.6837, grad_norm: 71.2511 2023-11-22 04:43:47,353 - mmseg - INFO - Iter [45750/160000] lr: 6.801e-06, eta: 18:39:36, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4034, decode.loss_mask: 0.5903, decode.loss_dice: 0.8523, decode.d0.loss_cls: 1.5609, decode.d0.loss_mask: 0.6248, decode.d0.loss_dice: 0.9805, decode.d1.loss_cls: 0.5106, decode.d1.loss_mask: 0.6115, decode.d1.loss_dice: 0.9078, decode.d2.loss_cls: 0.4483, decode.d2.loss_mask: 0.5959, decode.d2.loss_dice: 0.8860, decode.d3.loss_cls: 0.4231, decode.d3.loss_mask: 0.5876, decode.d3.loss_dice: 0.8629, decode.d4.loss_cls: 0.4129, decode.d4.loss_mask: 0.5906, decode.d4.loss_dice: 0.8657, decode.d5.loss_cls: 0.4038, decode.d5.loss_mask: 0.5921, decode.d5.loss_dice: 0.8571, decode.d6.loss_cls: 0.4064, decode.d6.loss_mask: 0.5898, decode.d6.loss_dice: 0.8485, decode.d7.loss_cls: 0.4039, decode.d7.loss_mask: 0.5880, decode.d7.loss_dice: 0.8489, decode.d8.loss_cls: 0.4064, decode.d8.loss_mask: 0.5898, decode.d8.loss_dice: 0.8498, loss: 20.0996, grad_norm: 74.0408 2023-11-22 04:44:15,522 - mmseg - INFO - Iter [45800/160000] lr: 6.798e-06, eta: 18:39:03, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4005, decode.loss_mask: 0.5894, decode.loss_dice: 0.8679, decode.d0.loss_cls: 1.5889, decode.d0.loss_mask: 0.6324, decode.d0.loss_dice: 0.9985, decode.d1.loss_cls: 0.4963, decode.d1.loss_mask: 0.6139, decode.d1.loss_dice: 0.9284, decode.d2.loss_cls: 0.4415, decode.d2.loss_mask: 0.5994, decode.d2.loss_dice: 0.8993, decode.d3.loss_cls: 0.4221, decode.d3.loss_mask: 0.5955, decode.d3.loss_dice: 0.8816, decode.d4.loss_cls: 0.4127, decode.d4.loss_mask: 0.5934, decode.d4.loss_dice: 0.8830, decode.d5.loss_cls: 0.4018, decode.d5.loss_mask: 0.5912, decode.d5.loss_dice: 0.8776, decode.d6.loss_cls: 0.3996, decode.d6.loss_mask: 0.5904, decode.d6.loss_dice: 0.8683, decode.d7.loss_cls: 0.3982, decode.d7.loss_mask: 0.5907, decode.d7.loss_dice: 0.8733, decode.d8.loss_cls: 0.3936, decode.d8.loss_mask: 0.5913, decode.d8.loss_dice: 0.8707, loss: 20.2914, grad_norm: 71.4495 2023-11-22 04:44:43,895 - mmseg - INFO - Iter [45850/160000] lr: 6.795e-06, eta: 18:38:31, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4278, decode.loss_mask: 0.5796, decode.loss_dice: 0.8486, decode.d0.loss_cls: 1.5777, decode.d0.loss_mask: 0.6268, decode.d0.loss_dice: 1.0022, decode.d1.loss_cls: 0.5267, decode.d1.loss_mask: 0.6045, decode.d1.loss_dice: 0.9153, decode.d2.loss_cls: 0.4727, decode.d2.loss_mask: 0.5896, decode.d2.loss_dice: 0.8788, decode.d3.loss_cls: 0.4486, decode.d3.loss_mask: 0.5851, decode.d3.loss_dice: 0.8599, decode.d4.loss_cls: 0.4404, decode.d4.loss_mask: 0.5811, decode.d4.loss_dice: 0.8551, decode.d5.loss_cls: 0.4351, decode.d5.loss_mask: 0.5810, decode.d5.loss_dice: 0.8491, decode.d6.loss_cls: 0.4344, decode.d6.loss_mask: 0.5793, decode.d6.loss_dice: 0.8461, decode.d7.loss_cls: 0.4238, decode.d7.loss_mask: 0.5808, decode.d7.loss_dice: 0.8508, decode.d8.loss_cls: 0.4273, decode.d8.loss_mask: 0.5804, decode.d8.loss_dice: 0.8539, loss: 20.2623, grad_norm: 72.9311 2023-11-22 04:45:12,048 - mmseg - INFO - Iter [45900/160000] lr: 6.792e-06, eta: 18:37:59, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3725, decode.loss_mask: 0.6234, decode.loss_dice: 0.8397, decode.d0.loss_cls: 1.5078, decode.d0.loss_mask: 0.6636, decode.d0.loss_dice: 0.9669, decode.d1.loss_cls: 0.4653, decode.d1.loss_mask: 0.6475, decode.d1.loss_dice: 0.9147, decode.d2.loss_cls: 0.4167, decode.d2.loss_mask: 0.6294, decode.d2.loss_dice: 0.8697, decode.d3.loss_cls: 0.3873, decode.d3.loss_mask: 0.6291, decode.d3.loss_dice: 0.8529, decode.d4.loss_cls: 0.3813, decode.d4.loss_mask: 0.6256, decode.d4.loss_dice: 0.8482, decode.d5.loss_cls: 0.3709, decode.d5.loss_mask: 0.6247, decode.d5.loss_dice: 0.8541, decode.d6.loss_cls: 0.3717, decode.d6.loss_mask: 0.6227, decode.d6.loss_dice: 0.8436, decode.d7.loss_cls: 0.3696, decode.d7.loss_mask: 0.6235, decode.d7.loss_dice: 0.8440, decode.d8.loss_cls: 0.3708, decode.d8.loss_mask: 0.6210, decode.d8.loss_dice: 0.8396, loss: 19.9979, grad_norm: 71.7016 2023-11-22 04:45:40,499 - mmseg - INFO - Iter [45950/160000] lr: 6.789e-06, eta: 18:37:27, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4144, decode.loss_mask: 0.5981, decode.loss_dice: 0.8856, decode.d0.loss_cls: 1.5705, decode.d0.loss_mask: 0.6313, decode.d0.loss_dice: 1.0050, decode.d1.loss_cls: 0.5147, decode.d1.loss_mask: 0.6156, decode.d1.loss_dice: 0.9346, decode.d2.loss_cls: 0.4527, decode.d2.loss_mask: 0.6049, decode.d2.loss_dice: 0.9113, decode.d3.loss_cls: 0.4245, decode.d3.loss_mask: 0.5971, decode.d3.loss_dice: 0.8942, decode.d4.loss_cls: 0.4172, decode.d4.loss_mask: 0.5964, decode.d4.loss_dice: 0.8932, decode.d5.loss_cls: 0.4155, decode.d5.loss_mask: 0.5959, decode.d5.loss_dice: 0.8877, decode.d6.loss_cls: 0.4156, decode.d6.loss_mask: 0.5984, decode.d6.loss_dice: 0.8806, decode.d7.loss_cls: 0.4128, decode.d7.loss_mask: 0.5993, decode.d7.loss_dice: 0.8855, decode.d8.loss_cls: 0.4176, decode.d8.loss_mask: 0.5949, decode.d8.loss_dice: 0.8816, loss: 20.5468, grad_norm: 74.0909 2023-11-22 04:46:09,191 - mmseg - INFO - Saving checkpoint at 46000 iterations 2023-11-22 04:46:17,241 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 04:46:17,241 - mmseg - INFO - Iter [46000/160000] lr: 6.787e-06, eta: 18:37:16, time: 0.735, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3982, decode.loss_mask: 0.5770, decode.loss_dice: 0.8565, decode.d0.loss_cls: 1.5569, decode.d0.loss_mask: 0.6118, decode.d0.loss_dice: 0.9812, decode.d1.loss_cls: 0.4952, decode.d1.loss_mask: 0.6059, decode.d1.loss_dice: 0.9136, decode.d2.loss_cls: 0.4425, decode.d2.loss_mask: 0.5892, decode.d2.loss_dice: 0.8868, decode.d3.loss_cls: 0.4212, decode.d3.loss_mask: 0.5840, decode.d3.loss_dice: 0.8676, decode.d4.loss_cls: 0.4040, decode.d4.loss_mask: 0.5814, decode.d4.loss_dice: 0.8715, decode.d5.loss_cls: 0.4029, decode.d5.loss_mask: 0.5784, decode.d5.loss_dice: 0.8674, decode.d6.loss_cls: 0.4056, decode.d6.loss_mask: 0.5742, decode.d6.loss_dice: 0.8551, decode.d7.loss_cls: 0.3987, decode.d7.loss_mask: 0.5746, decode.d7.loss_dice: 0.8618, decode.d8.loss_cls: 0.3990, decode.d8.loss_mask: 0.5783, decode.d8.loss_dice: 0.8578, loss: 19.9982, grad_norm: 74.3965 2023-11-22 04:46:36,625 - mmseg - INFO - per class results: 2023-11-22 04:46:36,630 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.43 | 88.41 | | building | 84.44 | 91.82 | | sky | 95.04 | 97.61 | | floor | 85.32 | 91.16 | | tree | 76.57 | 87.0 | | ceiling | 86.36 | 92.07 | | road | 86.17 | 90.9 | | bed | 91.24 | 95.55 | | windowpane | 64.61 | 84.34 | | grass | 70.1 | 82.11 | | cabinet | 67.91 | 82.97 | | sidewalk | 68.09 | 83.04 | | person | 86.35 | 93.08 | | earth | 39.63 | 53.89 | | door | 52.57 | 70.73 | | table | 65.7 | 79.82 | | mountain | 55.42 | 75.05 | | plant | 54.29 | 69.0 | | curtain | 77.98 | 86.67 | | chair | 66.12 | 78.87 | | car | 87.46 | 93.32 | | water | 56.08 | 71.64 | | painting | 76.99 | 90.15 | | sofa | 72.07 | 81.36 | | shelf | 47.6 | 64.9 | | house | 45.06 | 69.6 | | sea | 63.39 | 90.62 | | mirror | 74.03 | 82.6 | | rug | 69.84 | 83.55 | | field | 29.0 | 38.96 | | armchair | 49.98 | 71.88 | | seat | 68.5 | 89.62 | | fence | 47.87 | 64.96 | | desk | 53.32 | 79.43 | | rock | 33.53 | 49.06 | | wardrobe | 46.16 | 51.73 | | lamp | 71.77 | 81.21 | | bathtub | 73.54 | 86.64 | | railing | 41.75 | 68.64 | | cushion | 56.58 | 64.18 | | base | 35.22 | 67.05 | | box | 33.92 | 46.56 | | column | 51.44 | 66.91 | | signboard | 42.73 | 65.24 | | chest of drawers | 45.34 | 63.17 | | counter | 35.83 | 47.61 | | sand | 39.12 | 57.36 | | sink | 79.3 | 83.96 | | skyscraper | 69.05 | 86.88 | | fireplace | 74.77 | 92.16 | | refrigerator | 82.33 | 90.17 | | grandstand | 47.14 | 78.39 | | path | 19.02 | 28.1 | | stairs | 46.32 | 68.31 | | runway | 74.55 | 95.9 | | case | 68.8 | 83.24 | | pool table | 94.37 | 97.63 | | pillow | 57.08 | 79.19 | | screen door | 62.19 | 71.52 | | stairway | 38.82 | 44.66 | | river | 16.24 | 22.61 | | bridge | 65.88 | 88.88 | | bookcase | 31.43 | 48.2 | | blind | 38.44 | 43.75 | | coffee table | 71.28 | 85.62 | | toilet | 90.26 | 94.06 | | flower | 44.21 | 60.45 | | book | 54.09 | 71.4 | | hill | 10.22 | 15.41 | | bench | 66.18 | 82.3 | | countertop | 61.22 | 73.7 | | stove | 82.72 | 88.47 | | palm | 56.15 | 82.17 | | kitchen island | 50.51 | 79.33 | | computer | 78.08 | 86.4 | | swivel chair | 56.43 | 82.37 | | boat | 49.73 | 57.34 | | bar | 56.16 | 70.63 | | arcade machine | 88.26 | 95.06 | | hovel | 44.22 | 48.9 | | bus | 94.74 | 96.51 | | towel | 81.08 | 89.22 | | light | 60.85 | 82.89 | | truck | 38.71 | 50.39 | | tower | 35.36 | 60.73 | | chandelier | 66.36 | 82.31 | | awning | 36.21 | 43.44 | | streetlight | 43.48 | 67.2 | | booth | 50.91 | 59.36 | | television receiver | 81.02 | 89.58 | | airplane | 68.39 | 71.66 | | dirt track | 17.23 | 32.92 | | apparel | 38.36 | 71.1 | | pole | 32.68 | 47.05 | | land | 3.68 | 4.72 | | bannister | 18.18 | 29.81 | | escalator | 54.56 | 78.56 | | ottoman | 52.97 | 76.3 | | bottle | 37.9 | 52.33 | | buffet | 26.72 | 26.95 | | poster | 44.96 | 57.4 | | stage | 18.17 | 34.4 | | van | 42.24 | 75.65 | | ship | 58.28 | 83.22 | | fountain | 21.39 | 21.77 | | conveyer belt | 66.62 | 91.08 | | canopy | 57.06 | 68.12 | | washer | 71.68 | 73.67 | | plaything | 41.74 | 58.31 | | swimming pool | 61.99 | 71.29 | | stool | 56.21 | 77.4 | | barrel | 36.58 | 98.69 | | basket | 45.64 | 62.44 | | waterfall | 59.24 | 81.97 | | tent | 96.09 | 98.48 | | bag | 30.11 | 42.22 | | minibike | 73.27 | 90.0 | | cradle | 85.8 | 97.77 | | oven | 29.32 | 80.45 | | ball | 23.69 | 24.91 | | food | 67.76 | 82.03 | | step | 36.65 | 53.69 | | tank | 53.76 | 65.62 | | trade name | 24.53 | 29.83 | | microwave | 43.33 | 45.93 | | pot | 52.39 | 71.3 | | animal | 64.98 | 66.39 | | bicycle | 60.21 | 85.32 | | lake | 0.0 | 0.0 | | dishwasher | 76.55 | 86.1 | | screen | 53.71 | 95.25 | | blanket | 37.29 | 50.09 | | sculpture | 61.34 | 89.28 | | hood | 67.61 | 71.41 | | sconce | 62.81 | 76.46 | | vase | 58.33 | 76.28 | | traffic light | 43.97 | 67.47 | | tray | 23.12 | 31.02 | | ashcan | 47.15 | 71.53 | | fan | 70.65 | 87.07 | | pier | 24.76 | 40.06 | | crt screen | 3.33 | 8.42 | | plate | 63.72 | 78.2 | | monitor | 1.84 | 2.36 | | bulletin board | 53.32 | 73.26 | | shower | 3.01 | 28.73 | | radiator | 65.88 | 79.82 | | glass | 24.7 | 26.87 | | clock | 48.27 | 64.05 | | flag | 54.29 | 62.87 | +---------------------+-------+-------+ 2023-11-22 04:46:36,630 - mmseg - INFO - Summary: 2023-11-22 04:46:36,630 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.99 | 54.24 | 68.72 | +-------+-------+-------+ 2023-11-22 04:46:36,805 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_l_640_160k_ade20k_ss/best_mIoU_iter_40000.pth was removed 2023-11-22 04:46:44,211 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_46000.pth. 2023-11-22 04:46:44,211 - mmseg - INFO - Best mIoU is 0.5424 at 46000 iter. 2023-11-22 04:46:44,212 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 04:46:44,212 - mmseg - INFO - Iter(val) [250] aAcc: 0.8499, mIoU: 0.5424, mAcc: 0.6872, IoU.wall: 0.8043, IoU.building: 0.8444, IoU.sky: 0.9504, IoU.floor: 0.8532, IoU.tree: 0.7657, IoU.ceiling: 0.8636, IoU.road: 0.8617, IoU.bed : 0.9124, IoU.windowpane: 0.6461, IoU.grass: 0.7010, IoU.cabinet: 0.6791, IoU.sidewalk: 0.6809, IoU.person: 0.8635, IoU.earth: 0.3963, IoU.door: 0.5257, IoU.table: 0.6570, IoU.mountain: 0.5542, IoU.plant: 0.5429, IoU.curtain: 0.7798, IoU.chair: 0.6612, IoU.car: 0.8746, IoU.water: 0.5608, IoU.painting: 0.7699, IoU.sofa: 0.7207, IoU.shelf: 0.4760, IoU.house: 0.4506, IoU.sea: 0.6339, IoU.mirror: 0.7403, IoU.rug: 0.6984, IoU.field: 0.2900, IoU.armchair: 0.4998, IoU.seat: 0.6850, IoU.fence: 0.4787, IoU.desk: 0.5332, IoU.rock: 0.3353, IoU.wardrobe: 0.4616, IoU.lamp: 0.7177, IoU.bathtub: 0.7354, IoU.railing: 0.4175, IoU.cushion: 0.5658, IoU.base: 0.3522, IoU.box: 0.3392, IoU.column: 0.5144, IoU.signboard: 0.4273, IoU.chest of drawers: 0.4534, IoU.counter: 0.3583, IoU.sand: 0.3912, IoU.sink: 0.7930, IoU.skyscraper: 0.6905, IoU.fireplace: 0.7477, IoU.refrigerator: 0.8233, IoU.grandstand: 0.4714, IoU.path: 0.1902, IoU.stairs: 0.4632, IoU.runway: 0.7455, IoU.case: 0.6880, IoU.pool table: 0.9437, IoU.pillow: 0.5708, IoU.screen door: 0.6219, IoU.stairway: 0.3882, IoU.river: 0.1624, IoU.bridge: 0.6588, IoU.bookcase: 0.3143, IoU.blind: 0.3844, IoU.coffee table: 0.7128, IoU.toilet: 0.9026, IoU.flower: 0.4421, IoU.book: 0.5409, IoU.hill: 0.1022, IoU.bench: 0.6618, IoU.countertop: 0.6122, IoU.stove: 0.8272, IoU.palm: 0.5615, IoU.kitchen island: 0.5051, IoU.computer: 0.7808, IoU.swivel chair: 0.5643, IoU.boat: 0.4973, IoU.bar: 0.5616, IoU.arcade machine: 0.8826, IoU.hovel: 0.4422, IoU.bus: 0.9474, IoU.towel: 0.8108, IoU.light: 0.6085, IoU.truck: 0.3871, IoU.tower: 0.3536, IoU.chandelier: 0.6636, IoU.awning: 0.3621, IoU.streetlight: 0.4348, IoU.booth: 0.5091, IoU.television receiver: 0.8102, IoU.airplane: 0.6839, IoU.dirt track: 0.1723, IoU.apparel: 0.3836, IoU.pole: 0.3268, IoU.land: 0.0368, IoU.bannister: 0.1818, IoU.escalator: 0.5456, IoU.ottoman: 0.5297, IoU.bottle: 0.3790, IoU.buffet: 0.2672, IoU.poster: 0.4496, IoU.stage: 0.1817, IoU.van: 0.4224, IoU.ship: 0.5828, IoU.fountain: 0.2139, IoU.conveyer belt: 0.6662, IoU.canopy: 0.5706, IoU.washer: 0.7168, IoU.plaything: 0.4174, IoU.swimming pool: 0.6199, IoU.stool: 0.5621, IoU.barrel: 0.3658, IoU.basket: 0.4564, IoU.waterfall: 0.5924, IoU.tent: 0.9609, IoU.bag: 0.3011, IoU.minibike: 0.7327, IoU.cradle: 0.8580, IoU.oven: 0.2932, IoU.ball: 0.2369, IoU.food: 0.6776, IoU.step: 0.3665, IoU.tank: 0.5376, IoU.trade name: 0.2453, IoU.microwave: 0.4333, IoU.pot: 0.5239, IoU.animal: 0.6498, IoU.bicycle: 0.6021, IoU.lake: 0.0000, IoU.dishwasher: 0.7655, IoU.screen: 0.5371, IoU.blanket: 0.3729, IoU.sculpture: 0.6134, IoU.hood: 0.6761, IoU.sconce: 0.6281, IoU.vase: 0.5833, IoU.traffic light: 0.4397, IoU.tray: 0.2312, IoU.ashcan: 0.4715, IoU.fan: 0.7065, IoU.pier: 0.2476, IoU.crt screen: 0.0333, IoU.plate: 0.6372, IoU.monitor: 0.0184, IoU.bulletin board: 0.5332, IoU.shower: 0.0301, IoU.radiator: 0.6588, IoU.glass: 0.2470, IoU.clock: 0.4827, IoU.flag: 0.5429, Acc.wall: 0.8841, Acc.building: 0.9182, Acc.sky: 0.9761, Acc.floor: 0.9116, Acc.tree: 0.8700, Acc.ceiling: 0.9207, Acc.road: 0.9090, Acc.bed : 0.9555, Acc.windowpane: 0.8434, Acc.grass: 0.8211, Acc.cabinet: 0.8297, Acc.sidewalk: 0.8304, Acc.person: 0.9308, Acc.earth: 0.5389, Acc.door: 0.7073, Acc.table: 0.7982, Acc.mountain: 0.7505, Acc.plant: 0.6900, Acc.curtain: 0.8667, Acc.chair: 0.7887, Acc.car: 0.9332, Acc.water: 0.7164, Acc.painting: 0.9015, Acc.sofa: 0.8136, Acc.shelf: 0.6490, Acc.house: 0.6960, Acc.sea: 0.9062, Acc.mirror: 0.8260, Acc.rug: 0.8355, Acc.field: 0.3896, Acc.armchair: 0.7188, Acc.seat: 0.8962, Acc.fence: 0.6496, Acc.desk: 0.7943, Acc.rock: 0.4906, Acc.wardrobe: 0.5173, Acc.lamp: 0.8121, Acc.bathtub: 0.8664, Acc.railing: 0.6864, Acc.cushion: 0.6418, Acc.base: 0.6705, Acc.box: 0.4656, Acc.column: 0.6691, Acc.signboard: 0.6524, Acc.chest of drawers: 0.6317, Acc.counter: 0.4761, Acc.sand: 0.5736, Acc.sink: 0.8396, Acc.skyscraper: 0.8688, Acc.fireplace: 0.9216, Acc.refrigerator: 0.9017, Acc.grandstand: 0.7839, Acc.path: 0.2810, Acc.stairs: 0.6831, Acc.runway: 0.9590, Acc.case: 0.8324, Acc.pool table: 0.9763, Acc.pillow: 0.7919, Acc.screen door: 0.7152, Acc.stairway: 0.4466, Acc.river: 0.2261, Acc.bridge: 0.8888, Acc.bookcase: 0.4820, Acc.blind: 0.4375, Acc.coffee table: 0.8562, Acc.toilet: 0.9406, Acc.flower: 0.6045, Acc.book: 0.7140, Acc.hill: 0.1541, Acc.bench: 0.8230, Acc.countertop: 0.7370, Acc.stove: 0.8847, Acc.palm: 0.8217, Acc.kitchen island: 0.7933, Acc.computer: 0.8640, Acc.swivel chair: 0.8237, Acc.boat: 0.5734, Acc.bar: 0.7063, Acc.arcade machine: 0.9506, Acc.hovel: 0.4890, Acc.bus: 0.9651, Acc.towel: 0.8922, Acc.light: 0.8289, Acc.truck: 0.5039, Acc.tower: 0.6073, Acc.chandelier: 0.8231, Acc.awning: 0.4344, Acc.streetlight: 0.6720, Acc.booth: 0.5936, Acc.television receiver: 0.8958, Acc.airplane: 0.7166, Acc.dirt track: 0.3292, Acc.apparel: 0.7110, Acc.pole: 0.4705, Acc.land: 0.0472, Acc.bannister: 0.2981, Acc.escalator: 0.7856, Acc.ottoman: 0.7630, Acc.bottle: 0.5233, Acc.buffet: 0.2695, Acc.poster: 0.5740, Acc.stage: 0.3440, Acc.van: 0.7565, Acc.ship: 0.8322, Acc.fountain: 0.2177, Acc.conveyer belt: 0.9108, Acc.canopy: 0.6812, Acc.washer: 0.7367, Acc.plaything: 0.5831, Acc.swimming pool: 0.7129, Acc.stool: 0.7740, Acc.barrel: 0.9869, Acc.basket: 0.6244, Acc.waterfall: 0.8197, Acc.tent: 0.9848, Acc.bag: 0.4222, Acc.minibike: 0.9000, Acc.cradle: 0.9777, Acc.oven: 0.8045, Acc.ball: 0.2491, Acc.food: 0.8203, Acc.step: 0.5369, Acc.tank: 0.6562, Acc.trade name: 0.2983, Acc.microwave: 0.4593, Acc.pot: 0.7130, Acc.animal: 0.6639, Acc.bicycle: 0.8532, Acc.lake: 0.0000, Acc.dishwasher: 0.8610, Acc.screen: 0.9525, Acc.blanket: 0.5009, Acc.sculpture: 0.8928, Acc.hood: 0.7141, Acc.sconce: 0.7646, Acc.vase: 0.7628, Acc.traffic light: 0.6747, Acc.tray: 0.3102, Acc.ashcan: 0.7153, Acc.fan: 0.8707, Acc.pier: 0.4006, Acc.crt screen: 0.0842, Acc.plate: 0.7820, Acc.monitor: 0.0236, Acc.bulletin board: 0.7326, Acc.shower: 0.2873, Acc.radiator: 0.7982, Acc.glass: 0.2687, Acc.clock: 0.6405, Acc.flag: 0.6287 2023-11-22 04:47:12,657 - mmseg - INFO - Iter [46050/160000] lr: 6.784e-06, eta: 18:37:51, time: 1.108, data_time: 0.552, memory: 38143, decode.loss_cls: 0.4256, decode.loss_mask: 0.6055, decode.loss_dice: 0.9053, decode.d0.loss_cls: 1.5573, decode.d0.loss_mask: 0.6461, decode.d0.loss_dice: 1.0364, decode.d1.loss_cls: 0.5197, decode.d1.loss_mask: 0.6296, decode.d1.loss_dice: 0.9693, decode.d2.loss_cls: 0.4672, decode.d2.loss_mask: 0.6201, decode.d2.loss_dice: 0.9369, decode.d3.loss_cls: 0.4435, decode.d3.loss_mask: 0.6126, decode.d3.loss_dice: 0.9193, decode.d4.loss_cls: 0.4354, decode.d4.loss_mask: 0.6062, decode.d4.loss_dice: 0.9119, decode.d5.loss_cls: 0.4317, decode.d5.loss_mask: 0.6076, decode.d5.loss_dice: 0.9110, decode.d6.loss_cls: 0.4239, decode.d6.loss_mask: 0.6045, decode.d6.loss_dice: 0.9037, decode.d7.loss_cls: 0.4225, decode.d7.loss_mask: 0.6064, decode.d7.loss_dice: 0.9064, decode.d8.loss_cls: 0.4228, decode.d8.loss_mask: 0.6066, decode.d8.loss_dice: 0.9071, loss: 21.0020, grad_norm: 73.4256 2023-11-22 04:47:41,018 - mmseg - INFO - Iter [46100/160000] lr: 6.781e-06, eta: 18:37:19, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3908, decode.loss_mask: 0.5647, decode.loss_dice: 0.8336, decode.d0.loss_cls: 1.5643, decode.d0.loss_mask: 0.6043, decode.d0.loss_dice: 0.9568, decode.d1.loss_cls: 0.5030, decode.d1.loss_mask: 0.5891, decode.d1.loss_dice: 0.8939, decode.d2.loss_cls: 0.4534, decode.d2.loss_mask: 0.5711, decode.d2.loss_dice: 0.8626, decode.d3.loss_cls: 0.4208, decode.d3.loss_mask: 0.5637, decode.d3.loss_dice: 0.8410, decode.d4.loss_cls: 0.4067, decode.d4.loss_mask: 0.5659, decode.d4.loss_dice: 0.8413, decode.d5.loss_cls: 0.3991, decode.d5.loss_mask: 0.5657, decode.d5.loss_dice: 0.8366, decode.d6.loss_cls: 0.3934, decode.d6.loss_mask: 0.5679, decode.d6.loss_dice: 0.8316, decode.d7.loss_cls: 0.3944, decode.d7.loss_mask: 0.5672, decode.d7.loss_dice: 0.8347, decode.d8.loss_cls: 0.3945, decode.d8.loss_mask: 0.5684, decode.d8.loss_dice: 0.8342, loss: 19.6148, grad_norm: 69.5354 2023-11-22 04:48:09,338 - mmseg - INFO - Iter [46150/160000] lr: 6.778e-06, eta: 18:36:47, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4170, decode.loss_mask: 0.5803, decode.loss_dice: 0.8488, decode.d0.loss_cls: 1.6325, decode.d0.loss_mask: 0.6126, decode.d0.loss_dice: 0.9885, decode.d1.loss_cls: 0.5255, decode.d1.loss_mask: 0.6034, decode.d1.loss_dice: 0.9248, decode.d2.loss_cls: 0.4621, decode.d2.loss_mask: 0.5946, decode.d2.loss_dice: 0.8874, decode.d3.loss_cls: 0.4384, decode.d3.loss_mask: 0.5894, decode.d3.loss_dice: 0.8680, decode.d4.loss_cls: 0.4355, decode.d4.loss_mask: 0.5872, decode.d4.loss_dice: 0.8705, decode.d5.loss_cls: 0.4267, decode.d5.loss_mask: 0.5864, decode.d5.loss_dice: 0.8628, decode.d6.loss_cls: 0.4280, decode.d6.loss_mask: 0.5850, decode.d6.loss_dice: 0.8562, decode.d7.loss_cls: 0.4224, decode.d7.loss_mask: 0.5834, decode.d7.loss_dice: 0.8585, decode.d8.loss_cls: 0.4183, decode.d8.loss_mask: 0.5826, decode.d8.loss_dice: 0.8568, loss: 20.3335, grad_norm: 72.1794 2023-11-22 04:48:37,574 - mmseg - INFO - Iter [46200/160000] lr: 6.775e-06, eta: 18:36:14, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4128, decode.loss_mask: 0.5749, decode.loss_dice: 0.8538, decode.d0.loss_cls: 1.6282, decode.d0.loss_mask: 0.6043, decode.d0.loss_dice: 0.9867, decode.d1.loss_cls: 0.5298, decode.d1.loss_mask: 0.5964, decode.d1.loss_dice: 0.9189, decode.d2.loss_cls: 0.4659, decode.d2.loss_mask: 0.5819, decode.d2.loss_dice: 0.8823, decode.d3.loss_cls: 0.4410, decode.d3.loss_mask: 0.5767, decode.d3.loss_dice: 0.8605, decode.d4.loss_cls: 0.4284, decode.d4.loss_mask: 0.5773, decode.d4.loss_dice: 0.8633, decode.d5.loss_cls: 0.4241, decode.d5.loss_mask: 0.5768, decode.d5.loss_dice: 0.8626, decode.d6.loss_cls: 0.4213, decode.d6.loss_mask: 0.5736, decode.d6.loss_dice: 0.8491, decode.d7.loss_cls: 0.4185, decode.d7.loss_mask: 0.5751, decode.d7.loss_dice: 0.8585, decode.d8.loss_cls: 0.4222, decode.d8.loss_mask: 0.5751, decode.d8.loss_dice: 0.8532, loss: 20.1934, grad_norm: 69.1867 2023-11-22 04:49:06,012 - mmseg - INFO - Iter [46250/160000] lr: 6.772e-06, eta: 18:35:42, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4208, decode.loss_mask: 0.5922, decode.loss_dice: 0.8561, decode.d0.loss_cls: 1.5454, decode.d0.loss_mask: 0.6258, decode.d0.loss_dice: 0.9863, decode.d1.loss_cls: 0.5227, decode.d1.loss_mask: 0.6153, decode.d1.loss_dice: 0.9203, decode.d2.loss_cls: 0.4638, decode.d2.loss_mask: 0.6029, decode.d2.loss_dice: 0.8865, decode.d3.loss_cls: 0.4415, decode.d3.loss_mask: 0.5939, decode.d3.loss_dice: 0.8746, decode.d4.loss_cls: 0.4314, decode.d4.loss_mask: 0.5932, decode.d4.loss_dice: 0.8705, decode.d5.loss_cls: 0.4301, decode.d5.loss_mask: 0.5937, decode.d5.loss_dice: 0.8718, decode.d6.loss_cls: 0.4184, decode.d6.loss_mask: 0.5929, decode.d6.loss_dice: 0.8641, decode.d7.loss_cls: 0.4203, decode.d7.loss_mask: 0.5945, decode.d7.loss_dice: 0.8624, decode.d8.loss_cls: 0.4241, decode.d8.loss_mask: 0.5887, decode.d8.loss_dice: 0.8629, loss: 20.3672, grad_norm: 73.5409 2023-11-22 04:49:34,779 - mmseg - INFO - Iter [46300/160000] lr: 6.769e-06, eta: 18:35:11, time: 0.575, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4018, decode.loss_mask: 0.5842, decode.loss_dice: 0.8568, decode.d0.loss_cls: 1.5925, decode.d0.loss_mask: 0.6183, decode.d0.loss_dice: 0.9850, decode.d1.loss_cls: 0.5136, decode.d1.loss_mask: 0.6043, decode.d1.loss_dice: 0.9194, decode.d2.loss_cls: 0.4451, decode.d2.loss_mask: 0.5935, decode.d2.loss_dice: 0.8920, decode.d3.loss_cls: 0.4240, decode.d3.loss_mask: 0.5871, decode.d3.loss_dice: 0.8664, decode.d4.loss_cls: 0.4167, decode.d4.loss_mask: 0.5839, decode.d4.loss_dice: 0.8704, decode.d5.loss_cls: 0.4098, decode.d5.loss_mask: 0.5856, decode.d5.loss_dice: 0.8666, decode.d6.loss_cls: 0.4087, decode.d6.loss_mask: 0.5830, decode.d6.loss_dice: 0.8598, decode.d7.loss_cls: 0.4071, decode.d7.loss_mask: 0.5830, decode.d7.loss_dice: 0.8555, decode.d8.loss_cls: 0.4029, decode.d8.loss_mask: 0.5847, decode.d8.loss_dice: 0.8571, loss: 20.1591, grad_norm: 66.9790 2023-11-22 04:50:03,250 - mmseg - INFO - Iter [46350/160000] lr: 6.766e-06, eta: 18:34:40, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4137, decode.loss_mask: 0.6108, decode.loss_dice: 0.8829, decode.d0.loss_cls: 1.5616, decode.d0.loss_mask: 0.6545, decode.d0.loss_dice: 1.0025, decode.d1.loss_cls: 0.5197, decode.d1.loss_mask: 0.6388, decode.d1.loss_dice: 0.9454, decode.d2.loss_cls: 0.4707, decode.d2.loss_mask: 0.6176, decode.d2.loss_dice: 0.9132, decode.d3.loss_cls: 0.4408, decode.d3.loss_mask: 0.6084, decode.d3.loss_dice: 0.8897, decode.d4.loss_cls: 0.4339, decode.d4.loss_mask: 0.6098, decode.d4.loss_dice: 0.8893, decode.d5.loss_cls: 0.4241, decode.d5.loss_mask: 0.6147, decode.d5.loss_dice: 0.8863, decode.d6.loss_cls: 0.4192, decode.d6.loss_mask: 0.6088, decode.d6.loss_dice: 0.8816, decode.d7.loss_cls: 0.4191, decode.d7.loss_mask: 0.6103, decode.d7.loss_dice: 0.8816, decode.d8.loss_cls: 0.4163, decode.d8.loss_mask: 0.6115, decode.d8.loss_dice: 0.8838, loss: 20.7607, grad_norm: 74.6575 2023-11-22 04:50:31,537 - mmseg - INFO - Iter [46400/160000] lr: 6.763e-06, eta: 18:34:07, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4139, decode.loss_mask: 0.5812, decode.loss_dice: 0.8836, decode.d0.loss_cls: 1.5913, decode.d0.loss_mask: 0.6066, decode.d0.loss_dice: 1.0134, decode.d1.loss_cls: 0.5334, decode.d1.loss_mask: 0.5964, decode.d1.loss_dice: 0.9321, decode.d2.loss_cls: 0.4588, decode.d2.loss_mask: 0.5871, decode.d2.loss_dice: 0.9067, decode.d3.loss_cls: 0.4338, decode.d3.loss_mask: 0.5838, decode.d3.loss_dice: 0.8925, decode.d4.loss_cls: 0.4290, decode.d4.loss_mask: 0.5821, decode.d4.loss_dice: 0.8887, decode.d5.loss_cls: 0.4212, decode.d5.loss_mask: 0.5803, decode.d5.loss_dice: 0.8946, decode.d6.loss_cls: 0.4163, decode.d6.loss_mask: 0.5779, decode.d6.loss_dice: 0.8838, decode.d7.loss_cls: 0.4156, decode.d7.loss_mask: 0.5783, decode.d7.loss_dice: 0.8797, decode.d8.loss_cls: 0.4141, decode.d8.loss_mask: 0.5797, decode.d8.loss_dice: 0.8841, loss: 20.4399, grad_norm: 70.8632 2023-11-22 04:50:59,801 - mmseg - INFO - Iter [46450/160000] lr: 6.760e-06, eta: 18:33:35, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4054, decode.loss_mask: 0.5785, decode.loss_dice: 0.8366, decode.d0.loss_cls: 1.5941, decode.d0.loss_mask: 0.6207, decode.d0.loss_dice: 0.9724, decode.d1.loss_cls: 0.5071, decode.d1.loss_mask: 0.6076, decode.d1.loss_dice: 0.8921, decode.d2.loss_cls: 0.4557, decode.d2.loss_mask: 0.5914, decode.d2.loss_dice: 0.8654, decode.d3.loss_cls: 0.4335, decode.d3.loss_mask: 0.5808, decode.d3.loss_dice: 0.8468, decode.d4.loss_cls: 0.4289, decode.d4.loss_mask: 0.5789, decode.d4.loss_dice: 0.8402, decode.d5.loss_cls: 0.4192, decode.d5.loss_mask: 0.5792, decode.d5.loss_dice: 0.8466, decode.d6.loss_cls: 0.4133, decode.d6.loss_mask: 0.5772, decode.d6.loss_dice: 0.8335, decode.d7.loss_cls: 0.4085, decode.d7.loss_mask: 0.5781, decode.d7.loss_dice: 0.8367, decode.d8.loss_cls: 0.4094, decode.d8.loss_mask: 0.5762, decode.d8.loss_dice: 0.8371, loss: 19.9510, grad_norm: 75.1525 2023-11-22 04:51:28,034 - mmseg - INFO - Iter [46500/160000] lr: 6.757e-06, eta: 18:33:03, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4182, decode.loss_mask: 0.5793, decode.loss_dice: 0.8365, decode.d0.loss_cls: 1.5718, decode.d0.loss_mask: 0.6244, decode.d0.loss_dice: 0.9628, decode.d1.loss_cls: 0.5021, decode.d1.loss_mask: 0.6090, decode.d1.loss_dice: 0.8924, decode.d2.loss_cls: 0.4564, decode.d2.loss_mask: 0.5914, decode.d2.loss_dice: 0.8700, decode.d3.loss_cls: 0.4377, decode.d3.loss_mask: 0.5817, decode.d3.loss_dice: 0.8513, decode.d4.loss_cls: 0.4301, decode.d4.loss_mask: 0.5832, decode.d4.loss_dice: 0.8463, decode.d5.loss_cls: 0.4251, decode.d5.loss_mask: 0.5823, decode.d5.loss_dice: 0.8466, decode.d6.loss_cls: 0.4269, decode.d6.loss_mask: 0.5825, decode.d6.loss_dice: 0.8408, decode.d7.loss_cls: 0.4260, decode.d7.loss_mask: 0.5806, decode.d7.loss_dice: 0.8377, decode.d8.loss_cls: 0.4202, decode.d8.loss_mask: 0.5791, decode.d8.loss_dice: 0.8444, loss: 20.0368, grad_norm: 71.2135 2023-11-22 04:51:56,447 - mmseg - INFO - Iter [46550/160000] lr: 6.754e-06, eta: 18:32:31, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4025, decode.loss_mask: 0.5775, decode.loss_dice: 0.8393, decode.d0.loss_cls: 1.5517, decode.d0.loss_mask: 0.6183, decode.d0.loss_dice: 0.9672, decode.d1.loss_cls: 0.4996, decode.d1.loss_mask: 0.6074, decode.d1.loss_dice: 0.8955, decode.d2.loss_cls: 0.4375, decode.d2.loss_mask: 0.5891, decode.d2.loss_dice: 0.8687, decode.d3.loss_cls: 0.4074, decode.d3.loss_mask: 0.5843, decode.d3.loss_dice: 0.8540, decode.d4.loss_cls: 0.4053, decode.d4.loss_mask: 0.5828, decode.d4.loss_dice: 0.8481, decode.d5.loss_cls: 0.4034, decode.d5.loss_mask: 0.5797, decode.d5.loss_dice: 0.8471, decode.d6.loss_cls: 0.4010, decode.d6.loss_mask: 0.5788, decode.d6.loss_dice: 0.8380, decode.d7.loss_cls: 0.4008, decode.d7.loss_mask: 0.5809, decode.d7.loss_dice: 0.8423, decode.d8.loss_cls: 0.4006, decode.d8.loss_mask: 0.5818, decode.d8.loss_dice: 0.8413, loss: 19.8319, grad_norm: 76.9235 2023-11-22 04:52:24,979 - mmseg - INFO - Iter [46600/160000] lr: 6.751e-06, eta: 18:31:59, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4159, decode.loss_mask: 0.5767, decode.loss_dice: 0.8423, decode.d0.loss_cls: 1.5733, decode.d0.loss_mask: 0.6136, decode.d0.loss_dice: 0.9614, decode.d1.loss_cls: 0.5211, decode.d1.loss_mask: 0.6006, decode.d1.loss_dice: 0.9058, decode.d2.loss_cls: 0.4525, decode.d2.loss_mask: 0.5849, decode.d2.loss_dice: 0.8690, decode.d3.loss_cls: 0.4322, decode.d3.loss_mask: 0.5786, decode.d3.loss_dice: 0.8589, decode.d4.loss_cls: 0.4185, decode.d4.loss_mask: 0.5782, decode.d4.loss_dice: 0.8552, decode.d5.loss_cls: 0.4164, decode.d5.loss_mask: 0.5783, decode.d5.loss_dice: 0.8517, decode.d6.loss_cls: 0.4181, decode.d6.loss_mask: 0.5776, decode.d6.loss_dice: 0.8449, decode.d7.loss_cls: 0.4122, decode.d7.loss_mask: 0.5762, decode.d7.loss_dice: 0.8465, decode.d8.loss_cls: 0.4065, decode.d8.loss_mask: 0.5783, decode.d8.loss_dice: 0.8444, loss: 19.9896, grad_norm: 76.4472 2023-11-22 04:52:53,549 - mmseg - INFO - Iter [46650/160000] lr: 6.748e-06, eta: 18:31:28, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4136, decode.loss_mask: 0.5883, decode.loss_dice: 0.8815, decode.d0.loss_cls: 1.5818, decode.d0.loss_mask: 0.6304, decode.d0.loss_dice: 1.0141, decode.d1.loss_cls: 0.5059, decode.d1.loss_mask: 0.6147, decode.d1.loss_dice: 0.9372, decode.d2.loss_cls: 0.4434, decode.d2.loss_mask: 0.6000, decode.d2.loss_dice: 0.9041, decode.d3.loss_cls: 0.4239, decode.d3.loss_mask: 0.5953, decode.d3.loss_dice: 0.8936, decode.d4.loss_cls: 0.4244, decode.d4.loss_mask: 0.5917, decode.d4.loss_dice: 0.8843, decode.d5.loss_cls: 0.4137, decode.d5.loss_mask: 0.5941, decode.d5.loss_dice: 0.8926, decode.d6.loss_cls: 0.4124, decode.d6.loss_mask: 0.5922, decode.d6.loss_dice: 0.8895, decode.d7.loss_cls: 0.4119, decode.d7.loss_mask: 0.5899, decode.d7.loss_dice: 0.8864, decode.d8.loss_cls: 0.4062, decode.d8.loss_mask: 0.5933, decode.d8.loss_dice: 0.8870, loss: 20.4971, grad_norm: 75.0971 2023-11-22 04:53:21,818 - mmseg - INFO - Iter [46700/160000] lr: 6.745e-06, eta: 18:30:56, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4138, decode.loss_mask: 0.5983, decode.loss_dice: 0.8608, decode.d0.loss_cls: 1.5639, decode.d0.loss_mask: 0.6323, decode.d0.loss_dice: 0.9947, decode.d1.loss_cls: 0.5198, decode.d1.loss_mask: 0.6232, decode.d1.loss_dice: 0.9263, decode.d2.loss_cls: 0.4499, decode.d2.loss_mask: 0.6140, decode.d2.loss_dice: 0.8892, decode.d3.loss_cls: 0.4297, decode.d3.loss_mask: 0.6072, decode.d3.loss_dice: 0.8703, decode.d4.loss_cls: 0.4217, decode.d4.loss_mask: 0.6054, decode.d4.loss_dice: 0.8745, decode.d5.loss_cls: 0.4215, decode.d5.loss_mask: 0.5992, decode.d5.loss_dice: 0.8684, decode.d6.loss_cls: 0.4154, decode.d6.loss_mask: 0.5956, decode.d6.loss_dice: 0.8623, decode.d7.loss_cls: 0.4125, decode.d7.loss_mask: 0.5967, decode.d7.loss_dice: 0.8589, decode.d8.loss_cls: 0.4162, decode.d8.loss_mask: 0.5955, decode.d8.loss_dice: 0.8610, loss: 20.3981, grad_norm: 72.0774 2023-11-22 04:53:52,551 - mmseg - INFO - Iter [46750/160000] lr: 6.742e-06, eta: 18:30:29, time: 0.615, data_time: 0.061, memory: 38143, decode.loss_cls: 0.4181, decode.loss_mask: 0.5892, decode.loss_dice: 0.8739, decode.d0.loss_cls: 1.6122, decode.d0.loss_mask: 0.6262, decode.d0.loss_dice: 1.0069, decode.d1.loss_cls: 0.5302, decode.d1.loss_mask: 0.6132, decode.d1.loss_dice: 0.9405, decode.d2.loss_cls: 0.4680, decode.d2.loss_mask: 0.5995, decode.d2.loss_dice: 0.9063, decode.d3.loss_cls: 0.4447, decode.d3.loss_mask: 0.5896, decode.d3.loss_dice: 0.8835, decode.d4.loss_cls: 0.4416, decode.d4.loss_mask: 0.5901, decode.d4.loss_dice: 0.8810, decode.d5.loss_cls: 0.4337, decode.d5.loss_mask: 0.5926, decode.d5.loss_dice: 0.8805, decode.d6.loss_cls: 0.4290, decode.d6.loss_mask: 0.5880, decode.d6.loss_dice: 0.8761, decode.d7.loss_cls: 0.4302, decode.d7.loss_mask: 0.5852, decode.d7.loss_dice: 0.8719, decode.d8.loss_cls: 0.4204, decode.d8.loss_mask: 0.5856, decode.d8.loss_dice: 0.8783, loss: 20.5862, grad_norm: 66.6836 2023-11-22 04:54:20,726 - mmseg - INFO - Iter [46800/160000] lr: 6.739e-06, eta: 18:29:57, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4112, decode.loss_mask: 0.5615, decode.loss_dice: 0.8333, decode.d0.loss_cls: 1.6115, decode.d0.loss_mask: 0.6058, decode.d0.loss_dice: 0.9768, decode.d1.loss_cls: 0.5243, decode.d1.loss_mask: 0.5953, decode.d1.loss_dice: 0.9057, decode.d2.loss_cls: 0.4586, decode.d2.loss_mask: 0.5775, decode.d2.loss_dice: 0.8738, decode.d3.loss_cls: 0.4369, decode.d3.loss_mask: 0.5662, decode.d3.loss_dice: 0.8530, decode.d4.loss_cls: 0.4326, decode.d4.loss_mask: 0.5662, decode.d4.loss_dice: 0.8463, decode.d5.loss_cls: 0.4195, decode.d5.loss_mask: 0.5644, decode.d5.loss_dice: 0.8488, decode.d6.loss_cls: 0.4178, decode.d6.loss_mask: 0.5620, decode.d6.loss_dice: 0.8377, decode.d7.loss_cls: 0.4116, decode.d7.loss_mask: 0.5663, decode.d7.loss_dice: 0.8373, decode.d8.loss_cls: 0.4100, decode.d8.loss_mask: 0.5623, decode.d8.loss_dice: 0.8394, loss: 19.9138, grad_norm: 73.4753 2023-11-22 04:54:49,215 - mmseg - INFO - Iter [46850/160000] lr: 6.736e-06, eta: 18:29:25, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3743, decode.loss_mask: 0.5885, decode.loss_dice: 0.8532, decode.d0.loss_cls: 1.5090, decode.d0.loss_mask: 0.6235, decode.d0.loss_dice: 0.9665, decode.d1.loss_cls: 0.4684, decode.d1.loss_mask: 0.6074, decode.d1.loss_dice: 0.8969, decode.d2.loss_cls: 0.4126, decode.d2.loss_mask: 0.5923, decode.d2.loss_dice: 0.8764, decode.d3.loss_cls: 0.3990, decode.d3.loss_mask: 0.5856, decode.d3.loss_dice: 0.8590, decode.d4.loss_cls: 0.3912, decode.d4.loss_mask: 0.5860, decode.d4.loss_dice: 0.8582, decode.d5.loss_cls: 0.3796, decode.d5.loss_mask: 0.5913, decode.d5.loss_dice: 0.8625, decode.d6.loss_cls: 0.3817, decode.d6.loss_mask: 0.5873, decode.d6.loss_dice: 0.8493, decode.d7.loss_cls: 0.3746, decode.d7.loss_mask: 0.5883, decode.d7.loss_dice: 0.8494, decode.d8.loss_cls: 0.3735, decode.d8.loss_mask: 0.5871, decode.d8.loss_dice: 0.8507, loss: 19.7233, grad_norm: 67.2796 2023-11-22 04:55:17,485 - mmseg - INFO - Iter [46900/160000] lr: 6.733e-06, eta: 18:28:53, time: 0.567, data_time: 0.015, memory: 38143, decode.loss_cls: 0.4003, decode.loss_mask: 0.5970, decode.loss_dice: 0.8413, decode.d0.loss_cls: 1.5804, decode.d0.loss_mask: 0.6371, decode.d0.loss_dice: 0.9758, decode.d1.loss_cls: 0.5008, decode.d1.loss_mask: 0.6177, decode.d1.loss_dice: 0.9086, decode.d2.loss_cls: 0.4437, decode.d2.loss_mask: 0.6079, decode.d2.loss_dice: 0.8751, decode.d3.loss_cls: 0.4183, decode.d3.loss_mask: 0.6033, decode.d3.loss_dice: 0.8577, decode.d4.loss_cls: 0.4189, decode.d4.loss_mask: 0.5996, decode.d4.loss_dice: 0.8541, decode.d5.loss_cls: 0.4116, decode.d5.loss_mask: 0.6006, decode.d5.loss_dice: 0.8518, decode.d6.loss_cls: 0.4038, decode.d6.loss_mask: 0.5963, decode.d6.loss_dice: 0.8439, decode.d7.loss_cls: 0.4037, decode.d7.loss_mask: 0.5964, decode.d7.loss_dice: 0.8432, decode.d8.loss_cls: 0.4031, decode.d8.loss_mask: 0.5994, decode.d8.loss_dice: 0.8441, loss: 20.1357, grad_norm: 71.6287 2023-11-22 04:55:45,935 - mmseg - INFO - Iter [46950/160000] lr: 6.730e-06, eta: 18:28:21, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3948, decode.loss_mask: 0.5609, decode.loss_dice: 0.8448, decode.d0.loss_cls: 1.5676, decode.d0.loss_mask: 0.5934, decode.d0.loss_dice: 0.9572, decode.d1.loss_cls: 0.5029, decode.d1.loss_mask: 0.5863, decode.d1.loss_dice: 0.9014, decode.d2.loss_cls: 0.4414, decode.d2.loss_mask: 0.5715, decode.d2.loss_dice: 0.8673, decode.d3.loss_cls: 0.4192, decode.d3.loss_mask: 0.5651, decode.d3.loss_dice: 0.8509, decode.d4.loss_cls: 0.4093, decode.d4.loss_mask: 0.5609, decode.d4.loss_dice: 0.8475, decode.d5.loss_cls: 0.4011, decode.d5.loss_mask: 0.5624, decode.d5.loss_dice: 0.8459, decode.d6.loss_cls: 0.4024, decode.d6.loss_mask: 0.5606, decode.d6.loss_dice: 0.8420, decode.d7.loss_cls: 0.3946, decode.d7.loss_mask: 0.5585, decode.d7.loss_dice: 0.8445, decode.d8.loss_cls: 0.4021, decode.d8.loss_mask: 0.5570, decode.d8.loss_dice: 0.8448, loss: 19.6581, grad_norm: 70.0478 2023-11-22 04:56:14,297 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 04:56:14,297 - mmseg - INFO - Iter [47000/160000] lr: 6.727e-06, eta: 18:27:49, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3791, decode.loss_mask: 0.5846, decode.loss_dice: 0.8509, decode.d0.loss_cls: 1.5739, decode.d0.loss_mask: 0.6130, decode.d0.loss_dice: 0.9719, decode.d1.loss_cls: 0.4920, decode.d1.loss_mask: 0.6006, decode.d1.loss_dice: 0.9050, decode.d2.loss_cls: 0.4281, decode.d2.loss_mask: 0.5882, decode.d2.loss_dice: 0.8758, decode.d3.loss_cls: 0.3999, decode.d3.loss_mask: 0.5877, decode.d3.loss_dice: 0.8662, decode.d4.loss_cls: 0.3877, decode.d4.loss_mask: 0.5842, decode.d4.loss_dice: 0.8641, decode.d5.loss_cls: 0.3907, decode.d5.loss_mask: 0.5829, decode.d5.loss_dice: 0.8578, decode.d6.loss_cls: 0.3874, decode.d6.loss_mask: 0.5831, decode.d6.loss_dice: 0.8548, decode.d7.loss_cls: 0.3820, decode.d7.loss_mask: 0.5833, decode.d7.loss_dice: 0.8510, decode.d8.loss_cls: 0.3776, decode.d8.loss_mask: 0.5854, decode.d8.loss_dice: 0.8542, loss: 19.8431, grad_norm: 70.0701 2023-11-22 04:56:42,411 - mmseg - INFO - Iter [47050/160000] lr: 6.724e-06, eta: 18:27:17, time: 0.562, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3750, decode.loss_mask: 0.5883, decode.loss_dice: 0.8448, decode.d0.loss_cls: 1.5280, decode.d0.loss_mask: 0.6240, decode.d0.loss_dice: 0.9580, decode.d1.loss_cls: 0.4736, decode.d1.loss_mask: 0.6118, decode.d1.loss_dice: 0.8928, decode.d2.loss_cls: 0.4232, decode.d2.loss_mask: 0.6005, decode.d2.loss_dice: 0.8749, decode.d3.loss_cls: 0.4048, decode.d3.loss_mask: 0.5892, decode.d3.loss_dice: 0.8500, decode.d4.loss_cls: 0.3927, decode.d4.loss_mask: 0.5931, decode.d4.loss_dice: 0.8498, decode.d5.loss_cls: 0.3905, decode.d5.loss_mask: 0.5869, decode.d5.loss_dice: 0.8484, decode.d6.loss_cls: 0.3838, decode.d6.loss_mask: 0.5864, decode.d6.loss_dice: 0.8446, decode.d7.loss_cls: 0.3830, decode.d7.loss_mask: 0.5881, decode.d7.loss_dice: 0.8414, decode.d8.loss_cls: 0.3814, decode.d8.loss_mask: 0.5887, decode.d8.loss_dice: 0.8469, loss: 19.7443, grad_norm: 74.5866 2023-11-22 04:57:10,744 - mmseg - INFO - Iter [47100/160000] lr: 6.721e-06, eta: 18:26:45, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4096, decode.loss_mask: 0.5833, decode.loss_dice: 0.8861, decode.d0.loss_cls: 1.5745, decode.d0.loss_mask: 0.6146, decode.d0.loss_dice: 0.9960, decode.d1.loss_cls: 0.5154, decode.d1.loss_mask: 0.6024, decode.d1.loss_dice: 0.9259, decode.d2.loss_cls: 0.4524, decode.d2.loss_mask: 0.5894, decode.d2.loss_dice: 0.9009, decode.d3.loss_cls: 0.4364, decode.d3.loss_mask: 0.5856, decode.d3.loss_dice: 0.8862, decode.d4.loss_cls: 0.4349, decode.d4.loss_mask: 0.5840, decode.d4.loss_dice: 0.8876, decode.d5.loss_cls: 0.4174, decode.d5.loss_mask: 0.5857, decode.d5.loss_dice: 0.8873, decode.d6.loss_cls: 0.4132, decode.d6.loss_mask: 0.5831, decode.d6.loss_dice: 0.8812, decode.d7.loss_cls: 0.4099, decode.d7.loss_mask: 0.5835, decode.d7.loss_dice: 0.8869, decode.d8.loss_cls: 0.4090, decode.d8.loss_mask: 0.5863, decode.d8.loss_dice: 0.8830, loss: 20.3915, grad_norm: 69.7967 2023-11-22 04:57:39,230 - mmseg - INFO - Iter [47150/160000] lr: 6.718e-06, eta: 18:26:13, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4041, decode.loss_mask: 0.5951, decode.loss_dice: 0.8540, decode.d0.loss_cls: 1.5494, decode.d0.loss_mask: 0.6260, decode.d0.loss_dice: 0.9806, decode.d1.loss_cls: 0.4951, decode.d1.loss_mask: 0.6114, decode.d1.loss_dice: 0.9108, decode.d2.loss_cls: 0.4469, decode.d2.loss_mask: 0.6039, decode.d2.loss_dice: 0.8759, decode.d3.loss_cls: 0.4283, decode.d3.loss_mask: 0.5980, decode.d3.loss_dice: 0.8610, decode.d4.loss_cls: 0.4223, decode.d4.loss_mask: 0.5943, decode.d4.loss_dice: 0.8631, decode.d5.loss_cls: 0.4109, decode.d5.loss_mask: 0.5959, decode.d5.loss_dice: 0.8614, decode.d6.loss_cls: 0.4073, decode.d6.loss_mask: 0.5913, decode.d6.loss_dice: 0.8471, decode.d7.loss_cls: 0.4012, decode.d7.loss_mask: 0.5931, decode.d7.loss_dice: 0.8589, decode.d8.loss_cls: 0.3970, decode.d8.loss_mask: 0.5955, decode.d8.loss_dice: 0.8552, loss: 20.1349, grad_norm: 74.7826 2023-11-22 04:58:07,546 - mmseg - INFO - Iter [47200/160000] lr: 6.715e-06, eta: 18:25:41, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4156, decode.loss_mask: 0.5893, decode.loss_dice: 0.8604, decode.d0.loss_cls: 1.5383, decode.d0.loss_mask: 0.6363, decode.d0.loss_dice: 0.9853, decode.d1.loss_cls: 0.5109, decode.d1.loss_mask: 0.6122, decode.d1.loss_dice: 0.9185, decode.d2.loss_cls: 0.4522, decode.d2.loss_mask: 0.5982, decode.d2.loss_dice: 0.8909, decode.d3.loss_cls: 0.4371, decode.d3.loss_mask: 0.5921, decode.d3.loss_dice: 0.8676, decode.d4.loss_cls: 0.4305, decode.d4.loss_mask: 0.5908, decode.d4.loss_dice: 0.8670, decode.d5.loss_cls: 0.4233, decode.d5.loss_mask: 0.5874, decode.d5.loss_dice: 0.8674, decode.d6.loss_cls: 0.4207, decode.d6.loss_mask: 0.5876, decode.d6.loss_dice: 0.8586, decode.d7.loss_cls: 0.4158, decode.d7.loss_mask: 0.5903, decode.d7.loss_dice: 0.8616, decode.d8.loss_cls: 0.4120, decode.d8.loss_mask: 0.5868, decode.d8.loss_dice: 0.8634, loss: 20.2683, grad_norm: 69.3062 2023-11-22 04:58:35,838 - mmseg - INFO - Iter [47250/160000] lr: 6.712e-06, eta: 18:25:09, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3973, decode.loss_mask: 0.5756, decode.loss_dice: 0.8324, decode.d0.loss_cls: 1.5564, decode.d0.loss_mask: 0.6155, decode.d0.loss_dice: 0.9569, decode.d1.loss_cls: 0.5066, decode.d1.loss_mask: 0.5954, decode.d1.loss_dice: 0.8828, decode.d2.loss_cls: 0.4410, decode.d2.loss_mask: 0.5800, decode.d2.loss_dice: 0.8647, decode.d3.loss_cls: 0.4160, decode.d3.loss_mask: 0.5769, decode.d3.loss_dice: 0.8426, decode.d4.loss_cls: 0.4093, decode.d4.loss_mask: 0.5730, decode.d4.loss_dice: 0.8453, decode.d5.loss_cls: 0.4109, decode.d5.loss_mask: 0.5712, decode.d5.loss_dice: 0.8421, decode.d6.loss_cls: 0.4042, decode.d6.loss_mask: 0.5746, decode.d6.loss_dice: 0.8299, decode.d7.loss_cls: 0.4002, decode.d7.loss_mask: 0.5725, decode.d7.loss_dice: 0.8357, decode.d8.loss_cls: 0.3987, decode.d8.loss_mask: 0.5738, decode.d8.loss_dice: 0.8300, loss: 19.7116, grad_norm: 67.9558 2023-11-22 04:59:04,104 - mmseg - INFO - Iter [47300/160000] lr: 6.709e-06, eta: 18:24:37, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3997, decode.loss_mask: 0.5711, decode.loss_dice: 0.8502, decode.d0.loss_cls: 1.5805, decode.d0.loss_mask: 0.6089, decode.d0.loss_dice: 0.9778, decode.d1.loss_cls: 0.5085, decode.d1.loss_mask: 0.5949, decode.d1.loss_dice: 0.9098, decode.d2.loss_cls: 0.4524, decode.d2.loss_mask: 0.5828, decode.d2.loss_dice: 0.8767, decode.d3.loss_cls: 0.4293, decode.d3.loss_mask: 0.5736, decode.d3.loss_dice: 0.8616, decode.d4.loss_cls: 0.4197, decode.d4.loss_mask: 0.5734, decode.d4.loss_dice: 0.8562, decode.d5.loss_cls: 0.4189, decode.d5.loss_mask: 0.5699, decode.d5.loss_dice: 0.8506, decode.d6.loss_cls: 0.4118, decode.d6.loss_mask: 0.5720, decode.d6.loss_dice: 0.8457, decode.d7.loss_cls: 0.4067, decode.d7.loss_mask: 0.5695, decode.d7.loss_dice: 0.8508, decode.d8.loss_cls: 0.4013, decode.d8.loss_mask: 0.5680, decode.d8.loss_dice: 0.8570, loss: 19.9491, grad_norm: 68.7954 2023-11-22 04:59:32,124 - mmseg - INFO - Iter [47350/160000] lr: 6.706e-06, eta: 18:24:04, time: 0.560, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3890, decode.loss_mask: 0.5784, decode.loss_dice: 0.8524, decode.d0.loss_cls: 1.5211, decode.d0.loss_mask: 0.6200, decode.d0.loss_dice: 0.9783, decode.d1.loss_cls: 0.4768, decode.d1.loss_mask: 0.6107, decode.d1.loss_dice: 0.9149, decode.d2.loss_cls: 0.4252, decode.d2.loss_mask: 0.5951, decode.d2.loss_dice: 0.8808, decode.d3.loss_cls: 0.4027, decode.d3.loss_mask: 0.5893, decode.d3.loss_dice: 0.8582, decode.d4.loss_cls: 0.3975, decode.d4.loss_mask: 0.5832, decode.d4.loss_dice: 0.8629, decode.d5.loss_cls: 0.3861, decode.d5.loss_mask: 0.5842, decode.d5.loss_dice: 0.8579, decode.d6.loss_cls: 0.3849, decode.d6.loss_mask: 0.5830, decode.d6.loss_dice: 0.8520, decode.d7.loss_cls: 0.3806, decode.d7.loss_mask: 0.5809, decode.d7.loss_dice: 0.8572, decode.d8.loss_cls: 0.3846, decode.d8.loss_mask: 0.5821, decode.d8.loss_dice: 0.8571, loss: 19.8272, grad_norm: 73.2566 2023-11-22 05:00:00,376 - mmseg - INFO - Iter [47400/160000] lr: 6.703e-06, eta: 18:23:32, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4056, decode.loss_mask: 0.5655, decode.loss_dice: 0.8574, decode.d0.loss_cls: 1.5654, decode.d0.loss_mask: 0.5946, decode.d0.loss_dice: 0.9929, decode.d1.loss_cls: 0.5141, decode.d1.loss_mask: 0.5867, decode.d1.loss_dice: 0.9122, decode.d2.loss_cls: 0.4472, decode.d2.loss_mask: 0.5705, decode.d2.loss_dice: 0.8875, decode.d3.loss_cls: 0.4308, decode.d3.loss_mask: 0.5670, decode.d3.loss_dice: 0.8678, decode.d4.loss_cls: 0.4225, decode.d4.loss_mask: 0.5620, decode.d4.loss_dice: 0.8655, decode.d5.loss_cls: 0.4230, decode.d5.loss_mask: 0.5681, decode.d5.loss_dice: 0.8661, decode.d6.loss_cls: 0.4249, decode.d6.loss_mask: 0.5643, decode.d6.loss_dice: 0.8592, decode.d7.loss_cls: 0.4144, decode.d7.loss_mask: 0.5677, decode.d7.loss_dice: 0.8637, decode.d8.loss_cls: 0.4105, decode.d8.loss_mask: 0.5645, decode.d8.loss_dice: 0.8564, loss: 19.9980, grad_norm: 75.5944 2023-11-22 05:00:29,155 - mmseg - INFO - Iter [47450/160000] lr: 6.700e-06, eta: 18:23:01, time: 0.576, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3791, decode.loss_mask: 0.5605, decode.loss_dice: 0.8486, decode.d0.loss_cls: 1.5657, decode.d0.loss_mask: 0.5963, decode.d0.loss_dice: 0.9696, decode.d1.loss_cls: 0.4816, decode.d1.loss_mask: 0.5843, decode.d1.loss_dice: 0.9108, decode.d2.loss_cls: 0.4274, decode.d2.loss_mask: 0.5716, decode.d2.loss_dice: 0.8748, decode.d3.loss_cls: 0.4071, decode.d3.loss_mask: 0.5624, decode.d3.loss_dice: 0.8520, decode.d4.loss_cls: 0.3929, decode.d4.loss_mask: 0.5635, decode.d4.loss_dice: 0.8562, decode.d5.loss_cls: 0.3875, decode.d5.loss_mask: 0.5608, decode.d5.loss_dice: 0.8554, decode.d6.loss_cls: 0.3888, decode.d6.loss_mask: 0.5625, decode.d6.loss_dice: 0.8451, decode.d7.loss_cls: 0.3778, decode.d7.loss_mask: 0.5613, decode.d7.loss_dice: 0.8514, decode.d8.loss_cls: 0.3777, decode.d8.loss_mask: 0.5621, decode.d8.loss_dice: 0.8524, loss: 19.5872, grad_norm: 68.8048 2023-11-22 05:00:57,407 - mmseg - INFO - Iter [47500/160000] lr: 6.697e-06, eta: 18:22:29, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4176, decode.loss_mask: 0.6021, decode.loss_dice: 0.8824, decode.d0.loss_cls: 1.5534, decode.d0.loss_mask: 0.6420, decode.d0.loss_dice: 0.9997, decode.d1.loss_cls: 0.5131, decode.d1.loss_mask: 0.6308, decode.d1.loss_dice: 0.9475, decode.d2.loss_cls: 0.4651, decode.d2.loss_mask: 0.6174, decode.d2.loss_dice: 0.9063, decode.d3.loss_cls: 0.4404, decode.d3.loss_mask: 0.6079, decode.d3.loss_dice: 0.8882, decode.d4.loss_cls: 0.4310, decode.d4.loss_mask: 0.6081, decode.d4.loss_dice: 0.8857, decode.d5.loss_cls: 0.4214, decode.d5.loss_mask: 0.6092, decode.d5.loss_dice: 0.8867, decode.d6.loss_cls: 0.4243, decode.d6.loss_mask: 0.6035, decode.d6.loss_dice: 0.8791, decode.d7.loss_cls: 0.4202, decode.d7.loss_mask: 0.6041, decode.d7.loss_dice: 0.8804, decode.d8.loss_cls: 0.4190, decode.d8.loss_mask: 0.6020, decode.d8.loss_dice: 0.8810, loss: 20.6695, grad_norm: 71.9953 2023-11-22 05:01:25,763 - mmseg - INFO - Iter [47550/160000] lr: 6.694e-06, eta: 18:21:57, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3879, decode.loss_mask: 0.5692, decode.loss_dice: 0.8349, decode.d0.loss_cls: 1.5721, decode.d0.loss_mask: 0.6150, decode.d0.loss_dice: 0.9599, decode.d1.loss_cls: 0.4941, decode.d1.loss_mask: 0.5967, decode.d1.loss_dice: 0.8903, decode.d2.loss_cls: 0.4262, decode.d2.loss_mask: 0.5840, decode.d2.loss_dice: 0.8638, decode.d3.loss_cls: 0.4127, decode.d3.loss_mask: 0.5755, decode.d3.loss_dice: 0.8455, decode.d4.loss_cls: 0.4027, decode.d4.loss_mask: 0.5767, decode.d4.loss_dice: 0.8464, decode.d5.loss_cls: 0.3997, decode.d5.loss_mask: 0.5745, decode.d5.loss_dice: 0.8485, decode.d6.loss_cls: 0.3939, decode.d6.loss_mask: 0.5723, decode.d6.loss_dice: 0.8367, decode.d7.loss_cls: 0.3886, decode.d7.loss_mask: 0.5726, decode.d7.loss_dice: 0.8397, decode.d8.loss_cls: 0.3892, decode.d8.loss_mask: 0.5709, decode.d8.loss_dice: 0.8424, loss: 19.6824, grad_norm: 67.7219 2023-11-22 05:01:54,179 - mmseg - INFO - Iter [47600/160000] lr: 6.691e-06, eta: 18:21:26, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3745, decode.loss_mask: 0.6196, decode.loss_dice: 0.8805, decode.d0.loss_cls: 1.5513, decode.d0.loss_mask: 0.6603, decode.d0.loss_dice: 0.9999, decode.d1.loss_cls: 0.4745, decode.d1.loss_mask: 0.6414, decode.d1.loss_dice: 0.9371, decode.d2.loss_cls: 0.4101, decode.d2.loss_mask: 0.6275, decode.d2.loss_dice: 0.9039, decode.d3.loss_cls: 0.3965, decode.d3.loss_mask: 0.6181, decode.d3.loss_dice: 0.8856, decode.d4.loss_cls: 0.3806, decode.d4.loss_mask: 0.6167, decode.d4.loss_dice: 0.8892, decode.d5.loss_cls: 0.3827, decode.d5.loss_mask: 0.6179, decode.d5.loss_dice: 0.8856, decode.d6.loss_cls: 0.3787, decode.d6.loss_mask: 0.6188, decode.d6.loss_dice: 0.8756, decode.d7.loss_cls: 0.3727, decode.d7.loss_mask: 0.6189, decode.d7.loss_dice: 0.8826, decode.d8.loss_cls: 0.3723, decode.d8.loss_mask: 0.6216, decode.d8.loss_dice: 0.8800, loss: 20.3746, grad_norm: 76.4869 2023-11-22 05:02:22,350 - mmseg - INFO - Iter [47650/160000] lr: 6.688e-06, eta: 18:20:53, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3873, decode.loss_mask: 0.6007, decode.loss_dice: 0.8576, decode.d0.loss_cls: 1.5186, decode.d0.loss_mask: 0.6411, decode.d0.loss_dice: 0.9830, decode.d1.loss_cls: 0.4852, decode.d1.loss_mask: 0.6211, decode.d1.loss_dice: 0.9129, decode.d2.loss_cls: 0.4253, decode.d2.loss_mask: 0.6098, decode.d2.loss_dice: 0.8796, decode.d3.loss_cls: 0.4085, decode.d3.loss_mask: 0.6054, decode.d3.loss_dice: 0.8549, decode.d4.loss_cls: 0.4016, decode.d4.loss_mask: 0.6059, decode.d4.loss_dice: 0.8601, decode.d5.loss_cls: 0.3920, decode.d5.loss_mask: 0.6040, decode.d5.loss_dice: 0.8556, decode.d6.loss_cls: 0.3908, decode.d6.loss_mask: 0.6025, decode.d6.loss_dice: 0.8498, decode.d7.loss_cls: 0.3870, decode.d7.loss_mask: 0.6023, decode.d7.loss_dice: 0.8547, decode.d8.loss_cls: 0.3838, decode.d8.loss_mask: 0.6039, decode.d8.loss_dice: 0.8584, loss: 20.0434, grad_norm: 76.4375 2023-11-22 05:02:50,543 - mmseg - INFO - Iter [47700/160000] lr: 6.685e-06, eta: 18:20:21, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4032, decode.loss_mask: 0.5845, decode.loss_dice: 0.8497, decode.d0.loss_cls: 1.5798, decode.d0.loss_mask: 0.6218, decode.d0.loss_dice: 0.9838, decode.d1.loss_cls: 0.5055, decode.d1.loss_mask: 0.6123, decode.d1.loss_dice: 0.9135, decode.d2.loss_cls: 0.4479, decode.d2.loss_mask: 0.5921, decode.d2.loss_dice: 0.8826, decode.d3.loss_cls: 0.4248, decode.d3.loss_mask: 0.5880, decode.d3.loss_dice: 0.8638, decode.d4.loss_cls: 0.4165, decode.d4.loss_mask: 0.5865, decode.d4.loss_dice: 0.8624, decode.d5.loss_cls: 0.4185, decode.d5.loss_mask: 0.5860, decode.d5.loss_dice: 0.8605, decode.d6.loss_cls: 0.4033, decode.d6.loss_mask: 0.5854, decode.d6.loss_dice: 0.8551, decode.d7.loss_cls: 0.4010, decode.d7.loss_mask: 0.5866, decode.d7.loss_dice: 0.8545, decode.d8.loss_cls: 0.4034, decode.d8.loss_mask: 0.5835, decode.d8.loss_dice: 0.8522, loss: 20.1084, grad_norm: 66.8938 2023-11-22 05:03:19,172 - mmseg - INFO - Iter [47750/160000] lr: 6.682e-06, eta: 18:19:50, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3757, decode.loss_mask: 0.5918, decode.loss_dice: 0.8661, decode.d0.loss_cls: 1.5453, decode.d0.loss_mask: 0.6277, decode.d0.loss_dice: 0.9710, decode.d1.loss_cls: 0.4750, decode.d1.loss_mask: 0.6172, decode.d1.loss_dice: 0.9193, decode.d2.loss_cls: 0.4115, decode.d2.loss_mask: 0.6024, decode.d2.loss_dice: 0.8887, decode.d3.loss_cls: 0.3894, decode.d3.loss_mask: 0.5972, decode.d3.loss_dice: 0.8772, decode.d4.loss_cls: 0.3856, decode.d4.loss_mask: 0.5967, decode.d4.loss_dice: 0.8776, decode.d5.loss_cls: 0.3774, decode.d5.loss_mask: 0.5923, decode.d5.loss_dice: 0.8761, decode.d6.loss_cls: 0.3746, decode.d6.loss_mask: 0.5941, decode.d6.loss_dice: 0.8636, decode.d7.loss_cls: 0.3700, decode.d7.loss_mask: 0.5940, decode.d7.loss_dice: 0.8648, decode.d8.loss_cls: 0.3757, decode.d8.loss_mask: 0.5944, decode.d8.loss_dice: 0.8637, loss: 19.9563, grad_norm: 69.0148 2023-11-22 05:03:47,733 - mmseg - INFO - Iter [47800/160000] lr: 6.679e-06, eta: 18:19:19, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4149, decode.loss_mask: 0.5744, decode.loss_dice: 0.8422, decode.d0.loss_cls: 1.5775, decode.d0.loss_mask: 0.6124, decode.d0.loss_dice: 0.9744, decode.d1.loss_cls: 0.5265, decode.d1.loss_mask: 0.5975, decode.d1.loss_dice: 0.8981, decode.d2.loss_cls: 0.4562, decode.d2.loss_mask: 0.5850, decode.d2.loss_dice: 0.8689, decode.d3.loss_cls: 0.4346, decode.d3.loss_mask: 0.5813, decode.d3.loss_dice: 0.8550, decode.d4.loss_cls: 0.4331, decode.d4.loss_mask: 0.5769, decode.d4.loss_dice: 0.8525, decode.d5.loss_cls: 0.4233, decode.d5.loss_mask: 0.5785, decode.d5.loss_dice: 0.8525, decode.d6.loss_cls: 0.4231, decode.d6.loss_mask: 0.5720, decode.d6.loss_dice: 0.8447, decode.d7.loss_cls: 0.4158, decode.d7.loss_mask: 0.5734, decode.d7.loss_dice: 0.8448, decode.d8.loss_cls: 0.4126, decode.d8.loss_mask: 0.5767, decode.d8.loss_dice: 0.8468, loss: 20.0256, grad_norm: 71.6826 2023-11-22 05:04:15,953 - mmseg - INFO - Iter [47850/160000] lr: 6.676e-06, eta: 18:18:46, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4149, decode.loss_mask: 0.5881, decode.loss_dice: 0.8698, decode.d0.loss_cls: 1.5456, decode.d0.loss_mask: 0.6300, decode.d0.loss_dice: 1.0010, decode.d1.loss_cls: 0.5165, decode.d1.loss_mask: 0.6051, decode.d1.loss_dice: 0.9349, decode.d2.loss_cls: 0.4513, decode.d2.loss_mask: 0.5981, decode.d2.loss_dice: 0.9016, decode.d3.loss_cls: 0.4321, decode.d3.loss_mask: 0.5940, decode.d3.loss_dice: 0.8826, decode.d4.loss_cls: 0.4265, decode.d4.loss_mask: 0.5941, decode.d4.loss_dice: 0.8810, decode.d5.loss_cls: 0.4232, decode.d5.loss_mask: 0.5902, decode.d5.loss_dice: 0.8742, decode.d6.loss_cls: 0.4246, decode.d6.loss_mask: 0.5885, decode.d6.loss_dice: 0.8695, decode.d7.loss_cls: 0.4156, decode.d7.loss_mask: 0.5903, decode.d7.loss_dice: 0.8729, decode.d8.loss_cls: 0.4202, decode.d8.loss_mask: 0.5865, decode.d8.loss_dice: 0.8741, loss: 20.3973, grad_norm: 71.2453 2023-11-22 05:04:44,610 - mmseg - INFO - Iter [47900/160000] lr: 6.673e-06, eta: 18:18:15, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3938, decode.loss_mask: 0.5728, decode.loss_dice: 0.8502, decode.d0.loss_cls: 1.5245, decode.d0.loss_mask: 0.6164, decode.d0.loss_dice: 0.9714, decode.d1.loss_cls: 0.4933, decode.d1.loss_mask: 0.5948, decode.d1.loss_dice: 0.9123, decode.d2.loss_cls: 0.4341, decode.d2.loss_mask: 0.5851, decode.d2.loss_dice: 0.8761, decode.d3.loss_cls: 0.4164, decode.d3.loss_mask: 0.5802, decode.d3.loss_dice: 0.8513, decode.d4.loss_cls: 0.4022, decode.d4.loss_mask: 0.5801, decode.d4.loss_dice: 0.8560, decode.d5.loss_cls: 0.4045, decode.d5.loss_mask: 0.5769, decode.d5.loss_dice: 0.8585, decode.d6.loss_cls: 0.3987, decode.d6.loss_mask: 0.5739, decode.d6.loss_dice: 0.8478, decode.d7.loss_cls: 0.3871, decode.d7.loss_mask: 0.5736, decode.d7.loss_dice: 0.8511, decode.d8.loss_cls: 0.3904, decode.d8.loss_mask: 0.5723, decode.d8.loss_dice: 0.8486, loss: 19.7944, grad_norm: 73.8528 2023-11-22 05:05:12,832 - mmseg - INFO - Iter [47950/160000] lr: 6.670e-06, eta: 18:17:43, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4124, decode.loss_mask: 0.5793, decode.loss_dice: 0.8617, decode.d0.loss_cls: 1.6170, decode.d0.loss_mask: 0.6189, decode.d0.loss_dice: 0.9846, decode.d1.loss_cls: 0.5207, decode.d1.loss_mask: 0.6090, decode.d1.loss_dice: 0.9171, decode.d2.loss_cls: 0.4539, decode.d2.loss_mask: 0.5895, decode.d2.loss_dice: 0.8927, decode.d3.loss_cls: 0.4386, decode.d3.loss_mask: 0.5843, decode.d3.loss_dice: 0.8705, decode.d4.loss_cls: 0.4270, decode.d4.loss_mask: 0.5846, decode.d4.loss_dice: 0.8701, decode.d5.loss_cls: 0.4170, decode.d5.loss_mask: 0.5819, decode.d5.loss_dice: 0.8741, decode.d6.loss_cls: 0.4170, decode.d6.loss_mask: 0.5786, decode.d6.loss_dice: 0.8591, decode.d7.loss_cls: 0.4148, decode.d7.loss_mask: 0.5800, decode.d7.loss_dice: 0.8598, decode.d8.loss_cls: 0.4158, decode.d8.loss_mask: 0.5823, decode.d8.loss_dice: 0.8597, loss: 20.2718, grad_norm: 66.6294 2023-11-22 05:05:43,405 - mmseg - INFO - Saving checkpoint at 48000 iterations 2023-11-22 05:05:51,987 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 05:05:51,987 - mmseg - INFO - Iter [48000/160000] lr: 6.667e-06, eta: 18:17:37, time: 0.783, data_time: 0.060, memory: 38143, decode.loss_cls: 0.3910, decode.loss_mask: 0.5897, decode.loss_dice: 0.8816, decode.d0.loss_cls: 1.5621, decode.d0.loss_mask: 0.6286, decode.d0.loss_dice: 1.0012, decode.d1.loss_cls: 0.4909, decode.d1.loss_mask: 0.6167, decode.d1.loss_dice: 0.9402, decode.d2.loss_cls: 0.4288, decode.d2.loss_mask: 0.6024, decode.d2.loss_dice: 0.9089, decode.d3.loss_cls: 0.4069, decode.d3.loss_mask: 0.5962, decode.d3.loss_dice: 0.8930, decode.d4.loss_cls: 0.3988, decode.d4.loss_mask: 0.5971, decode.d4.loss_dice: 0.8918, decode.d5.loss_cls: 0.3968, decode.d5.loss_mask: 0.5973, decode.d5.loss_dice: 0.8930, decode.d6.loss_cls: 0.3906, decode.d6.loss_mask: 0.5895, decode.d6.loss_dice: 0.8828, decode.d7.loss_cls: 0.3888, decode.d7.loss_mask: 0.5885, decode.d7.loss_dice: 0.8849, decode.d8.loss_cls: 0.3886, decode.d8.loss_mask: 0.5902, decode.d8.loss_dice: 0.8823, loss: 20.2993, grad_norm: 72.8293 2023-11-22 05:06:11,622 - mmseg - INFO - per class results: 2023-11-22 05:06:11,628 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.54 | 88.22 | | building | 83.58 | 92.02 | | sky | 95.01 | 97.18 | | floor | 84.61 | 89.25 | | tree | 77.01 | 89.62 | | ceiling | 85.63 | 91.95 | | road | 87.1 | 91.72 | | bed | 91.83 | 95.81 | | windowpane | 65.62 | 81.5 | | grass | 69.35 | 81.61 | | cabinet | 62.29 | 73.79 | | sidewalk | 67.83 | 85.68 | | person | 86.22 | 93.95 | | earth | 37.87 | 47.7 | | door | 58.23 | 76.13 | | table | 68.9 | 82.17 | | mountain | 55.57 | 68.47 | | plant | 55.51 | 68.39 | | curtain | 77.25 | 90.71 | | chair | 64.25 | 75.06 | | car | 87.68 | 93.5 | | water | 50.83 | 64.63 | | painting | 75.78 | 91.74 | | sofa | 74.3 | 89.28 | | shelf | 40.37 | 50.84 | | house | 46.49 | 67.11 | | sea | 57.4 | 89.74 | | mirror | 73.82 | 83.81 | | rug | 69.86 | 88.36 | | field | 38.82 | 75.89 | | armchair | 51.47 | 73.87 | | seat | 64.62 | 84.5 | | fence | 49.41 | 65.85 | | desk | 54.37 | 75.74 | | rock | 48.63 | 64.93 | | wardrobe | 46.42 | 70.4 | | lamp | 73.17 | 82.49 | | bathtub | 78.57 | 85.43 | | railing | 39.54 | 64.07 | | cushion | 68.19 | 77.39 | | base | 33.3 | 65.59 | | box | 34.77 | 46.45 | | column | 56.2 | 66.73 | | signboard | 40.66 | 57.3 | | chest of drawers | 43.68 | 67.78 | | counter | 42.57 | 49.66 | | sand | 39.29 | 63.95 | | sink | 80.7 | 84.81 | | skyscraper | 34.77 | 42.1 | | fireplace | 71.54 | 92.35 | | refrigerator | 80.56 | 89.91 | | grandstand | 46.32 | 71.91 | | path | 21.67 | 34.13 | | stairs | 31.15 | 36.42 | | runway | 76.69 | 97.2 | | case | 72.06 | 79.76 | | pool table | 94.82 | 97.37 | | pillow | 64.69 | 84.06 | | screen door | 64.92 | 73.33 | | stairway | 34.67 | 53.34 | | river | 16.63 | 20.53 | | bridge | 75.19 | 86.68 | | bookcase | 29.31 | 57.06 | | blind | 45.51 | 59.01 | | coffee table | 68.57 | 85.28 | | toilet | 90.04 | 93.19 | | flower | 41.94 | 67.38 | | book | 53.33 | 79.99 | | hill | 9.81 | 15.98 | | bench | 62.17 | 79.96 | | countertop | 58.02 | 65.71 | | stove | 87.16 | 91.49 | | palm | 55.91 | 81.04 | | kitchen island | 57.54 | 78.91 | | computer | 77.85 | 87.71 | | swivel chair | 54.93 | 76.96 | | boat | 54.36 | 88.27 | | bar | 63.68 | 68.61 | | arcade machine | 57.95 | 61.91 | | hovel | 43.96 | 49.08 | | bus | 93.94 | 96.9 | | towel | 79.83 | 90.5 | | light | 61.03 | 83.29 | | truck | 45.5 | 65.1 | | tower | 21.14 | 35.75 | | chandelier | 71.63 | 90.4 | | awning | 32.82 | 53.32 | | streetlight | 43.34 | 63.3 | | booth | 57.7 | 58.8 | | television receiver | 77.4 | 91.78 | | airplane | 67.92 | 71.98 | | dirt track | 21.5 | 23.83 | | apparel | 49.48 | 65.19 | | pole | 30.27 | 48.12 | | land | 6.65 | 11.7 | | bannister | 16.46 | 25.09 | | escalator | 23.49 | 27.29 | | ottoman | 54.59 | 76.32 | | bottle | 45.36 | 78.91 | | buffet | 49.39 | 66.05 | | poster | 29.25 | 64.66 | | stage | 16.28 | 35.62 | | van | 55.24 | 79.7 | | ship | 9.07 | 16.96 | | fountain | 20.43 | 23.41 | | conveyer belt | 69.91 | 95.34 | | canopy | 41.9 | 57.06 | | washer | 71.54 | 75.55 | | plaything | 40.12 | 55.03 | | swimming pool | 43.29 | 72.8 | | stool | 58.27 | 74.62 | | barrel | 86.27 | 97.83 | | basket | 39.34 | 52.91 | | waterfall | 65.64 | 91.6 | | tent | 95.32 | 98.12 | | bag | 29.73 | 39.11 | | minibike | 71.55 | 91.53 | | cradle | 77.96 | 97.79 | | oven | 27.9 | 81.77 | | ball | 42.72 | 45.51 | | food | 71.89 | 83.98 | | step | 25.35 | 34.81 | | tank | 54.97 | 66.25 | | trade name | 28.11 | 36.1 | | microwave | 39.32 | 41.94 | | pot | 54.95 | 74.2 | | animal | 59.17 | 60.47 | | bicycle | 61.37 | 83.55 | | lake | 0.01 | 0.01 | | dishwasher | 76.92 | 89.68 | | screen | 52.59 | 92.72 | | blanket | 41.86 | 54.18 | | sculpture | 69.45 | 88.04 | | hood | 72.01 | 76.63 | | sconce | 58.19 | 80.84 | | vase | 55.5 | 79.32 | | traffic light | 43.25 | 73.66 | | tray | 23.08 | 37.22 | | ashcan | 42.66 | 68.88 | | fan | 66.91 | 86.81 | | pier | 34.02 | 43.24 | | crt screen | 6.46 | 16.94 | | plate | 61.98 | 84.4 | | monitor | 10.03 | 11.95 | | bulletin board | 66.12 | 80.73 | | shower | 14.33 | 29.19 | | radiator | 69.44 | 87.16 | | glass | 25.04 | 30.19 | | clock | 45.81 | 64.55 | | flag | 48.14 | 58.19 | +---------------------+-------+-------+ 2023-11-22 05:06:11,628 - mmseg - INFO - Summary: 2023-11-22 05:06:11,628 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 84.82 | 54.22 | 68.9 | +-------+-------+------+ 2023-11-22 05:06:11,629 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 05:06:11,629 - mmseg - INFO - Iter(val) [250] aAcc: 0.8482, mIoU: 0.5422, mAcc: 0.6890, IoU.wall: 0.8054, IoU.building: 0.8358, IoU.sky: 0.9501, IoU.floor: 0.8461, IoU.tree: 0.7701, IoU.ceiling: 0.8563, IoU.road: 0.8710, IoU.bed : 0.9183, IoU.windowpane: 0.6562, IoU.grass: 0.6935, IoU.cabinet: 0.6229, IoU.sidewalk: 0.6783, IoU.person: 0.8622, IoU.earth: 0.3787, IoU.door: 0.5823, IoU.table: 0.6890, IoU.mountain: 0.5557, IoU.plant: 0.5551, IoU.curtain: 0.7725, IoU.chair: 0.6425, IoU.car: 0.8768, IoU.water: 0.5083, IoU.painting: 0.7578, IoU.sofa: 0.7430, IoU.shelf: 0.4037, IoU.house: 0.4649, IoU.sea: 0.5740, IoU.mirror: 0.7382, IoU.rug: 0.6986, IoU.field: 0.3882, IoU.armchair: 0.5147, IoU.seat: 0.6462, IoU.fence: 0.4941, IoU.desk: 0.5437, IoU.rock: 0.4863, IoU.wardrobe: 0.4642, IoU.lamp: 0.7317, IoU.bathtub: 0.7857, IoU.railing: 0.3954, IoU.cushion: 0.6819, IoU.base: 0.3330, IoU.box: 0.3477, IoU.column: 0.5620, IoU.signboard: 0.4066, IoU.chest of drawers: 0.4368, IoU.counter: 0.4257, IoU.sand: 0.3929, IoU.sink: 0.8070, IoU.skyscraper: 0.3477, IoU.fireplace: 0.7154, IoU.refrigerator: 0.8056, IoU.grandstand: 0.4632, IoU.path: 0.2167, IoU.stairs: 0.3115, IoU.runway: 0.7669, IoU.case: 0.7206, IoU.pool table: 0.9482, IoU.pillow: 0.6469, IoU.screen door: 0.6492, IoU.stairway: 0.3467, IoU.river: 0.1663, IoU.bridge: 0.7519, IoU.bookcase: 0.2931, IoU.blind: 0.4551, IoU.coffee table: 0.6857, IoU.toilet: 0.9004, IoU.flower: 0.4194, IoU.book: 0.5333, IoU.hill: 0.0981, IoU.bench: 0.6217, IoU.countertop: 0.5802, IoU.stove: 0.8716, IoU.palm: 0.5591, IoU.kitchen island: 0.5754, IoU.computer: 0.7785, IoU.swivel chair: 0.5493, IoU.boat: 0.5436, IoU.bar: 0.6368, IoU.arcade machine: 0.5795, IoU.hovel: 0.4396, IoU.bus: 0.9394, IoU.towel: 0.7983, IoU.light: 0.6103, IoU.truck: 0.4550, IoU.tower: 0.2114, IoU.chandelier: 0.7163, IoU.awning: 0.3282, IoU.streetlight: 0.4334, IoU.booth: 0.5770, IoU.television receiver: 0.7740, IoU.airplane: 0.6792, IoU.dirt track: 0.2150, IoU.apparel: 0.4948, IoU.pole: 0.3027, IoU.land: 0.0665, IoU.bannister: 0.1646, IoU.escalator: 0.2349, IoU.ottoman: 0.5459, IoU.bottle: 0.4536, IoU.buffet: 0.4939, IoU.poster: 0.2925, IoU.stage: 0.1628, IoU.van: 0.5524, IoU.ship: 0.0907, IoU.fountain: 0.2043, IoU.conveyer belt: 0.6991, IoU.canopy: 0.4190, IoU.washer: 0.7154, IoU.plaything: 0.4012, IoU.swimming pool: 0.4329, IoU.stool: 0.5827, IoU.barrel: 0.8627, IoU.basket: 0.3934, IoU.waterfall: 0.6564, IoU.tent: 0.9532, IoU.bag: 0.2973, IoU.minibike: 0.7155, IoU.cradle: 0.7796, IoU.oven: 0.2790, IoU.ball: 0.4272, IoU.food: 0.7189, IoU.step: 0.2535, IoU.tank: 0.5497, IoU.trade name: 0.2811, IoU.microwave: 0.3932, IoU.pot: 0.5495, IoU.animal: 0.5917, IoU.bicycle: 0.6137, IoU.lake: 0.0001, IoU.dishwasher: 0.7692, IoU.screen: 0.5259, IoU.blanket: 0.4186, IoU.sculpture: 0.6945, IoU.hood: 0.7201, IoU.sconce: 0.5819, IoU.vase: 0.5550, IoU.traffic light: 0.4325, IoU.tray: 0.2308, IoU.ashcan: 0.4266, IoU.fan: 0.6691, IoU.pier: 0.3402, IoU.crt screen: 0.0646, IoU.plate: 0.6198, IoU.monitor: 0.1003, IoU.bulletin board: 0.6612, IoU.shower: 0.1433, IoU.radiator: 0.6944, IoU.glass: 0.2504, IoU.clock: 0.4581, IoU.flag: 0.4814, Acc.wall: 0.8822, Acc.building: 0.9202, Acc.sky: 0.9718, Acc.floor: 0.8925, Acc.tree: 0.8962, Acc.ceiling: 0.9195, Acc.road: 0.9172, Acc.bed : 0.9581, Acc.windowpane: 0.8150, Acc.grass: 0.8161, Acc.cabinet: 0.7379, Acc.sidewalk: 0.8568, Acc.person: 0.9395, Acc.earth: 0.4770, Acc.door: 0.7613, Acc.table: 0.8217, Acc.mountain: 0.6847, Acc.plant: 0.6839, Acc.curtain: 0.9071, Acc.chair: 0.7506, Acc.car: 0.9350, Acc.water: 0.6463, Acc.painting: 0.9174, Acc.sofa: 0.8928, Acc.shelf: 0.5084, Acc.house: 0.6711, Acc.sea: 0.8974, Acc.mirror: 0.8381, Acc.rug: 0.8836, Acc.field: 0.7589, Acc.armchair: 0.7387, Acc.seat: 0.8450, Acc.fence: 0.6585, Acc.desk: 0.7574, Acc.rock: 0.6493, Acc.wardrobe: 0.7040, Acc.lamp: 0.8249, Acc.bathtub: 0.8543, Acc.railing: 0.6407, Acc.cushion: 0.7739, Acc.base: 0.6559, Acc.box: 0.4645, Acc.column: 0.6673, Acc.signboard: 0.5730, Acc.chest of drawers: 0.6778, Acc.counter: 0.4966, Acc.sand: 0.6395, Acc.sink: 0.8481, Acc.skyscraper: 0.4210, Acc.fireplace: 0.9235, Acc.refrigerator: 0.8991, Acc.grandstand: 0.7191, Acc.path: 0.3413, Acc.stairs: 0.3642, Acc.runway: 0.9720, Acc.case: 0.7976, Acc.pool table: 0.9737, Acc.pillow: 0.8406, Acc.screen door: 0.7333, Acc.stairway: 0.5334, Acc.river: 0.2053, Acc.bridge: 0.8668, Acc.bookcase: 0.5706, Acc.blind: 0.5901, Acc.coffee table: 0.8528, Acc.toilet: 0.9319, Acc.flower: 0.6738, Acc.book: 0.7999, Acc.hill: 0.1598, Acc.bench: 0.7996, Acc.countertop: 0.6571, Acc.stove: 0.9149, Acc.palm: 0.8104, Acc.kitchen island: 0.7891, Acc.computer: 0.8771, Acc.swivel chair: 0.7696, Acc.boat: 0.8827, Acc.bar: 0.6861, Acc.arcade machine: 0.6191, Acc.hovel: 0.4908, Acc.bus: 0.9690, Acc.towel: 0.9050, Acc.light: 0.8329, Acc.truck: 0.6510, Acc.tower: 0.3575, Acc.chandelier: 0.9040, Acc.awning: 0.5332, Acc.streetlight: 0.6330, Acc.booth: 0.5880, Acc.television receiver: 0.9178, Acc.airplane: 0.7198, Acc.dirt track: 0.2383, Acc.apparel: 0.6519, Acc.pole: 0.4812, Acc.land: 0.1170, Acc.bannister: 0.2509, Acc.escalator: 0.2729, Acc.ottoman: 0.7632, Acc.bottle: 0.7891, Acc.buffet: 0.6605, Acc.poster: 0.6466, Acc.stage: 0.3562, Acc.van: 0.7970, Acc.ship: 0.1696, Acc.fountain: 0.2341, Acc.conveyer belt: 0.9534, Acc.canopy: 0.5706, Acc.washer: 0.7555, Acc.plaything: 0.5503, Acc.swimming pool: 0.7280, Acc.stool: 0.7462, Acc.barrel: 0.9783, Acc.basket: 0.5291, Acc.waterfall: 0.9160, Acc.tent: 0.9812, Acc.bag: 0.3911, Acc.minibike: 0.9153, Acc.cradle: 0.9779, Acc.oven: 0.8177, Acc.ball: 0.4551, Acc.food: 0.8398, Acc.step: 0.3481, Acc.tank: 0.6625, Acc.trade name: 0.3610, Acc.microwave: 0.4194, Acc.pot: 0.7420, Acc.animal: 0.6047, Acc.bicycle: 0.8355, Acc.lake: 0.0001, Acc.dishwasher: 0.8968, Acc.screen: 0.9272, Acc.blanket: 0.5418, Acc.sculpture: 0.8804, Acc.hood: 0.7663, Acc.sconce: 0.8084, Acc.vase: 0.7932, Acc.traffic light: 0.7366, Acc.tray: 0.3722, Acc.ashcan: 0.6888, Acc.fan: 0.8681, Acc.pier: 0.4324, Acc.crt screen: 0.1694, Acc.plate: 0.8440, Acc.monitor: 0.1195, Acc.bulletin board: 0.8073, Acc.shower: 0.2919, Acc.radiator: 0.8716, Acc.glass: 0.3019, Acc.clock: 0.6455, Acc.flag: 0.5819 2023-11-22 05:06:39,968 - mmseg - INFO - Iter [48050/160000] lr: 6.664e-06, eta: 18:17:51, time: 0.960, data_time: 0.406, memory: 38143, decode.loss_cls: 0.3814, decode.loss_mask: 0.5498, decode.loss_dice: 0.8177, decode.d0.loss_cls: 1.5706, decode.d0.loss_mask: 0.5921, decode.d0.loss_dice: 0.9500, decode.d1.loss_cls: 0.4918, decode.d1.loss_mask: 0.5750, decode.d1.loss_dice: 0.8754, decode.d2.loss_cls: 0.4262, decode.d2.loss_mask: 0.5628, decode.d2.loss_dice: 0.8420, decode.d3.loss_cls: 0.4115, decode.d3.loss_mask: 0.5580, decode.d3.loss_dice: 0.8242, decode.d4.loss_cls: 0.4008, decode.d4.loss_mask: 0.5525, decode.d4.loss_dice: 0.8199, decode.d5.loss_cls: 0.3908, decode.d5.loss_mask: 0.5563, decode.d5.loss_dice: 0.8199, decode.d6.loss_cls: 0.3919, decode.d6.loss_mask: 0.5527, decode.d6.loss_dice: 0.8099, decode.d7.loss_cls: 0.3853, decode.d7.loss_mask: 0.5501, decode.d7.loss_dice: 0.8143, decode.d8.loss_cls: 0.3820, decode.d8.loss_mask: 0.5499, decode.d8.loss_dice: 0.8168, loss: 19.2218, grad_norm: 71.6803 2023-11-22 05:07:08,439 - mmseg - INFO - Iter [48100/160000] lr: 6.662e-06, eta: 18:17:19, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4094, decode.loss_mask: 0.5643, decode.loss_dice: 0.8441, decode.d0.loss_cls: 1.5557, decode.d0.loss_mask: 0.6095, decode.d0.loss_dice: 0.9702, decode.d1.loss_cls: 0.5047, decode.d1.loss_mask: 0.5894, decode.d1.loss_dice: 0.9031, decode.d2.loss_cls: 0.4506, decode.d2.loss_mask: 0.5746, decode.d2.loss_dice: 0.8693, decode.d3.loss_cls: 0.4227, decode.d3.loss_mask: 0.5689, decode.d3.loss_dice: 0.8492, decode.d4.loss_cls: 0.4163, decode.d4.loss_mask: 0.5645, decode.d4.loss_dice: 0.8509, decode.d5.loss_cls: 0.4133, decode.d5.loss_mask: 0.5652, decode.d5.loss_dice: 0.8499, decode.d6.loss_cls: 0.4100, decode.d6.loss_mask: 0.5667, decode.d6.loss_dice: 0.8421, decode.d7.loss_cls: 0.4032, decode.d7.loss_mask: 0.5659, decode.d7.loss_dice: 0.8446, decode.d8.loss_cls: 0.4038, decode.d8.loss_mask: 0.5663, decode.d8.loss_dice: 0.8446, loss: 19.7930, grad_norm: 72.9383 2023-11-22 05:07:36,764 - mmseg - INFO - Iter [48150/160000] lr: 6.659e-06, eta: 18:16:47, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4016, decode.loss_mask: 0.5709, decode.loss_dice: 0.8605, decode.d0.loss_cls: 1.5851, decode.d0.loss_mask: 0.5989, decode.d0.loss_dice: 0.9842, decode.d1.loss_cls: 0.5037, decode.d1.loss_mask: 0.5877, decode.d1.loss_dice: 0.9185, decode.d2.loss_cls: 0.4453, decode.d2.loss_mask: 0.5762, decode.d2.loss_dice: 0.8927, decode.d3.loss_cls: 0.4259, decode.d3.loss_mask: 0.5737, decode.d3.loss_dice: 0.8687, decode.d4.loss_cls: 0.4167, decode.d4.loss_mask: 0.5685, decode.d4.loss_dice: 0.8700, decode.d5.loss_cls: 0.4124, decode.d5.loss_mask: 0.5732, decode.d5.loss_dice: 0.8686, decode.d6.loss_cls: 0.4109, decode.d6.loss_mask: 0.5668, decode.d6.loss_dice: 0.8614, decode.d7.loss_cls: 0.4084, decode.d7.loss_mask: 0.5661, decode.d7.loss_dice: 0.8619, decode.d8.loss_cls: 0.4032, decode.d8.loss_mask: 0.5677, decode.d8.loss_dice: 0.8640, loss: 20.0134, grad_norm: 74.7311 2023-11-22 05:08:04,989 - mmseg - INFO - Iter [48200/160000] lr: 6.656e-06, eta: 18:16:15, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3629, decode.loss_mask: 0.5627, decode.loss_dice: 0.8299, decode.d0.loss_cls: 1.5344, decode.d0.loss_mask: 0.6082, decode.d0.loss_dice: 0.9679, decode.d1.loss_cls: 0.4627, decode.d1.loss_mask: 0.5879, decode.d1.loss_dice: 0.9028, decode.d2.loss_cls: 0.4109, decode.d2.loss_mask: 0.5756, decode.d2.loss_dice: 0.8545, decode.d3.loss_cls: 0.3834, decode.d3.loss_mask: 0.5690, decode.d3.loss_dice: 0.8402, decode.d4.loss_cls: 0.3720, decode.d4.loss_mask: 0.5704, decode.d4.loss_dice: 0.8474, decode.d5.loss_cls: 0.3692, decode.d5.loss_mask: 0.5648, decode.d5.loss_dice: 0.8390, decode.d6.loss_cls: 0.3645, decode.d6.loss_mask: 0.5659, decode.d6.loss_dice: 0.8334, decode.d7.loss_cls: 0.3673, decode.d7.loss_mask: 0.5661, decode.d7.loss_dice: 0.8342, decode.d8.loss_cls: 0.3642, decode.d8.loss_mask: 0.5658, decode.d8.loss_dice: 0.8304, loss: 19.3077, grad_norm: 72.7211 2023-11-22 05:08:33,276 - mmseg - INFO - Iter [48250/160000] lr: 6.653e-06, eta: 18:15:43, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3979, decode.loss_mask: 0.5939, decode.loss_dice: 0.8724, decode.d0.loss_cls: 1.5205, decode.d0.loss_mask: 0.6314, decode.d0.loss_dice: 0.9835, decode.d1.loss_cls: 0.4868, decode.d1.loss_mask: 0.6172, decode.d1.loss_dice: 0.9263, decode.d2.loss_cls: 0.4436, decode.d2.loss_mask: 0.6049, decode.d2.loss_dice: 0.8877, decode.d3.loss_cls: 0.4150, decode.d3.loss_mask: 0.5959, decode.d3.loss_dice: 0.8729, decode.d4.loss_cls: 0.4156, decode.d4.loss_mask: 0.5956, decode.d4.loss_dice: 0.8689, decode.d5.loss_cls: 0.4057, decode.d5.loss_mask: 0.5950, decode.d5.loss_dice: 0.8697, decode.d6.loss_cls: 0.4036, decode.d6.loss_mask: 0.5942, decode.d6.loss_dice: 0.8623, decode.d7.loss_cls: 0.3986, decode.d7.loss_mask: 0.5928, decode.d7.loss_dice: 0.8663, decode.d8.loss_cls: 0.3986, decode.d8.loss_mask: 0.5930, decode.d8.loss_dice: 0.8676, loss: 20.1777, grad_norm: 77.2650 2023-11-22 05:09:01,714 - mmseg - INFO - Iter [48300/160000] lr: 6.650e-06, eta: 18:15:11, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3814, decode.loss_mask: 0.5851, decode.loss_dice: 0.8440, decode.d0.loss_cls: 1.5383, decode.d0.loss_mask: 0.6229, decode.d0.loss_dice: 0.9660, decode.d1.loss_cls: 0.4900, decode.d1.loss_mask: 0.6050, decode.d1.loss_dice: 0.9081, decode.d2.loss_cls: 0.4267, decode.d2.loss_mask: 0.5945, decode.d2.loss_dice: 0.8799, decode.d3.loss_cls: 0.4047, decode.d3.loss_mask: 0.5832, decode.d3.loss_dice: 0.8537, decode.d4.loss_cls: 0.3968, decode.d4.loss_mask: 0.5813, decode.d4.loss_dice: 0.8502, decode.d5.loss_cls: 0.3907, decode.d5.loss_mask: 0.5850, decode.d5.loss_dice: 0.8503, decode.d6.loss_cls: 0.3896, decode.d6.loss_mask: 0.5828, decode.d6.loss_dice: 0.8393, decode.d7.loss_cls: 0.3825, decode.d7.loss_mask: 0.5820, decode.d7.loss_dice: 0.8475, decode.d8.loss_cls: 0.3818, decode.d8.loss_mask: 0.5826, decode.d8.loss_dice: 0.8413, loss: 19.7670, grad_norm: 76.0843 2023-11-22 05:09:30,237 - mmseg - INFO - Iter [48350/160000] lr: 6.647e-06, eta: 18:14:40, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3866, decode.loss_mask: 0.5579, decode.loss_dice: 0.8435, decode.d0.loss_cls: 1.5746, decode.d0.loss_mask: 0.5976, decode.d0.loss_dice: 0.9745, decode.d1.loss_cls: 0.5054, decode.d1.loss_mask: 0.5810, decode.d1.loss_dice: 0.8888, decode.d2.loss_cls: 0.4336, decode.d2.loss_mask: 0.5656, decode.d2.loss_dice: 0.8613, decode.d3.loss_cls: 0.4064, decode.d3.loss_mask: 0.5584, decode.d3.loss_dice: 0.8477, decode.d4.loss_cls: 0.4003, decode.d4.loss_mask: 0.5611, decode.d4.loss_dice: 0.8415, decode.d5.loss_cls: 0.3909, decode.d5.loss_mask: 0.5604, decode.d5.loss_dice: 0.8445, decode.d6.loss_cls: 0.3866, decode.d6.loss_mask: 0.5584, decode.d6.loss_dice: 0.8411, decode.d7.loss_cls: 0.3854, decode.d7.loss_mask: 0.5597, decode.d7.loss_dice: 0.8435, decode.d8.loss_cls: 0.3843, decode.d8.loss_mask: 0.5596, decode.d8.loss_dice: 0.8428, loss: 19.5428, grad_norm: 75.4682 2023-11-22 05:09:58,551 - mmseg - INFO - Iter [48400/160000] lr: 6.644e-06, eta: 18:14:08, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3761, decode.loss_mask: 0.5681, decode.loss_dice: 0.8290, decode.d0.loss_cls: 1.5208, decode.d0.loss_mask: 0.6139, decode.d0.loss_dice: 0.9490, decode.d1.loss_cls: 0.4589, decode.d1.loss_mask: 0.5971, decode.d1.loss_dice: 0.8930, decode.d2.loss_cls: 0.4076, decode.d2.loss_mask: 0.5833, decode.d2.loss_dice: 0.8607, decode.d3.loss_cls: 0.3909, decode.d3.loss_mask: 0.5769, decode.d3.loss_dice: 0.8390, decode.d4.loss_cls: 0.3828, decode.d4.loss_mask: 0.5768, decode.d4.loss_dice: 0.8419, decode.d5.loss_cls: 0.3802, decode.d5.loss_mask: 0.5738, decode.d5.loss_dice: 0.8401, decode.d6.loss_cls: 0.3753, decode.d6.loss_mask: 0.5692, decode.d6.loss_dice: 0.8325, decode.d7.loss_cls: 0.3705, decode.d7.loss_mask: 0.5700, decode.d7.loss_dice: 0.8339, decode.d8.loss_cls: 0.3735, decode.d8.loss_mask: 0.5687, decode.d8.loss_dice: 0.8331, loss: 19.3869, grad_norm: 72.8615 2023-11-22 05:10:26,871 - mmseg - INFO - Iter [48450/160000] lr: 6.641e-06, eta: 18:13:36, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3688, decode.loss_mask: 0.5578, decode.loss_dice: 0.8432, decode.d0.loss_cls: 1.5181, decode.d0.loss_mask: 0.5930, decode.d0.loss_dice: 0.9785, decode.d1.loss_cls: 0.4777, decode.d1.loss_mask: 0.5792, decode.d1.loss_dice: 0.8968, decode.d2.loss_cls: 0.4120, decode.d2.loss_mask: 0.5710, decode.d2.loss_dice: 0.8786, decode.d3.loss_cls: 0.3896, decode.d3.loss_mask: 0.5616, decode.d3.loss_dice: 0.8527, decode.d4.loss_cls: 0.3816, decode.d4.loss_mask: 0.5590, decode.d4.loss_dice: 0.8545, decode.d5.loss_cls: 0.3764, decode.d5.loss_mask: 0.5609, decode.d5.loss_dice: 0.8551, decode.d6.loss_cls: 0.3782, decode.d6.loss_mask: 0.5580, decode.d6.loss_dice: 0.8482, decode.d7.loss_cls: 0.3754, decode.d7.loss_mask: 0.5573, decode.d7.loss_dice: 0.8490, decode.d8.loss_cls: 0.3690, decode.d8.loss_mask: 0.5558, decode.d8.loss_dice: 0.8446, loss: 19.4019, grad_norm: 72.9962 2023-11-22 05:10:55,308 - mmseg - INFO - Iter [48500/160000] lr: 6.638e-06, eta: 18:13:04, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4006, decode.loss_mask: 0.5828, decode.loss_dice: 0.8738, decode.d0.loss_cls: 1.5886, decode.d0.loss_mask: 0.6193, decode.d0.loss_dice: 0.9988, decode.d1.loss_cls: 0.4953, decode.d1.loss_mask: 0.6054, decode.d1.loss_dice: 0.9376, decode.d2.loss_cls: 0.4474, decode.d2.loss_mask: 0.5906, decode.d2.loss_dice: 0.9034, decode.d3.loss_cls: 0.4283, decode.d3.loss_mask: 0.5849, decode.d3.loss_dice: 0.8776, decode.d4.loss_cls: 0.4174, decode.d4.loss_mask: 0.5847, decode.d4.loss_dice: 0.8773, decode.d5.loss_cls: 0.4088, decode.d5.loss_mask: 0.5847, decode.d5.loss_dice: 0.8799, decode.d6.loss_cls: 0.4048, decode.d6.loss_mask: 0.5862, decode.d6.loss_dice: 0.8740, decode.d7.loss_cls: 0.3967, decode.d7.loss_mask: 0.5840, decode.d7.loss_dice: 0.8775, decode.d8.loss_cls: 0.3953, decode.d8.loss_mask: 0.5832, decode.d8.loss_dice: 0.8750, loss: 20.2642, grad_norm: 74.6740 2023-11-22 05:11:23,693 - mmseg - INFO - Iter [48550/160000] lr: 6.635e-06, eta: 18:12:32, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3891, decode.loss_mask: 0.5673, decode.loss_dice: 0.8397, decode.d0.loss_cls: 1.5556, decode.d0.loss_mask: 0.6108, decode.d0.loss_dice: 0.9603, decode.d1.loss_cls: 0.4807, decode.d1.loss_mask: 0.5945, decode.d1.loss_dice: 0.8988, decode.d2.loss_cls: 0.4326, decode.d2.loss_mask: 0.5764, decode.d2.loss_dice: 0.8694, decode.d3.loss_cls: 0.4108, decode.d3.loss_mask: 0.5645, decode.d3.loss_dice: 0.8393, decode.d4.loss_cls: 0.4016, decode.d4.loss_mask: 0.5627, decode.d4.loss_dice: 0.8440, decode.d5.loss_cls: 0.3976, decode.d5.loss_mask: 0.5665, decode.d5.loss_dice: 0.8426, decode.d6.loss_cls: 0.3903, decode.d6.loss_mask: 0.5662, decode.d6.loss_dice: 0.8352, decode.d7.loss_cls: 0.3948, decode.d7.loss_mask: 0.5672, decode.d7.loss_dice: 0.8350, decode.d8.loss_cls: 0.3888, decode.d8.loss_mask: 0.5636, decode.d8.loss_dice: 0.8378, loss: 19.5838, grad_norm: 71.3905 2023-11-22 05:11:52,108 - mmseg - INFO - Iter [48600/160000] lr: 6.632e-06, eta: 18:12:01, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3828, decode.loss_mask: 0.5850, decode.loss_dice: 0.8509, decode.d0.loss_cls: 1.5665, decode.d0.loss_mask: 0.6248, decode.d0.loss_dice: 0.9867, decode.d1.loss_cls: 0.4782, decode.d1.loss_mask: 0.6084, decode.d1.loss_dice: 0.9104, decode.d2.loss_cls: 0.4181, decode.d2.loss_mask: 0.5968, decode.d2.loss_dice: 0.8736, decode.d3.loss_cls: 0.4035, decode.d3.loss_mask: 0.5892, decode.d3.loss_dice: 0.8587, decode.d4.loss_cls: 0.3981, decode.d4.loss_mask: 0.5898, decode.d4.loss_dice: 0.8582, decode.d5.loss_cls: 0.3873, decode.d5.loss_mask: 0.5904, decode.d5.loss_dice: 0.8511, decode.d6.loss_cls: 0.3859, decode.d6.loss_mask: 0.5852, decode.d6.loss_dice: 0.8549, decode.d7.loss_cls: 0.3847, decode.d7.loss_mask: 0.5863, decode.d7.loss_dice: 0.8548, decode.d8.loss_cls: 0.3802, decode.d8.loss_mask: 0.5875, decode.d8.loss_dice: 0.8537, loss: 19.8812, grad_norm: 73.1964 2023-11-22 05:12:20,315 - mmseg - INFO - Iter [48650/160000] lr: 6.629e-06, eta: 18:11:28, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3901, decode.loss_mask: 0.5936, decode.loss_dice: 0.8705, decode.d0.loss_cls: 1.5504, decode.d0.loss_mask: 0.6316, decode.d0.loss_dice: 0.9783, decode.d1.loss_cls: 0.4927, decode.d1.loss_mask: 0.6170, decode.d1.loss_dice: 0.9257, decode.d2.loss_cls: 0.4443, decode.d2.loss_mask: 0.6015, decode.d2.loss_dice: 0.9010, decode.d3.loss_cls: 0.4145, decode.d3.loss_mask: 0.5959, decode.d3.loss_dice: 0.8776, decode.d4.loss_cls: 0.4033, decode.d4.loss_mask: 0.5969, decode.d4.loss_dice: 0.8772, decode.d5.loss_cls: 0.3983, decode.d5.loss_mask: 0.5972, decode.d5.loss_dice: 0.8737, decode.d6.loss_cls: 0.3985, decode.d6.loss_mask: 0.5920, decode.d6.loss_dice: 0.8735, decode.d7.loss_cls: 0.3933, decode.d7.loss_mask: 0.5936, decode.d7.loss_dice: 0.8652, decode.d8.loss_cls: 0.3932, decode.d8.loss_mask: 0.5940, decode.d8.loss_dice: 0.8659, loss: 20.2003, grad_norm: 71.6792 2023-11-22 05:12:48,661 - mmseg - INFO - Iter [48700/160000] lr: 6.626e-06, eta: 18:10:57, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4090, decode.loss_mask: 0.5849, decode.loss_dice: 0.8525, decode.d0.loss_cls: 1.5688, decode.d0.loss_mask: 0.6272, decode.d0.loss_dice: 0.9879, decode.d1.loss_cls: 0.5061, decode.d1.loss_mask: 0.6192, decode.d1.loss_dice: 0.9089, decode.d2.loss_cls: 0.4553, decode.d2.loss_mask: 0.5956, decode.d2.loss_dice: 0.8767, decode.d3.loss_cls: 0.4260, decode.d3.loss_mask: 0.5868, decode.d3.loss_dice: 0.8584, decode.d4.loss_cls: 0.4109, decode.d4.loss_mask: 0.5889, decode.d4.loss_dice: 0.8655, decode.d5.loss_cls: 0.4096, decode.d5.loss_mask: 0.5880, decode.d5.loss_dice: 0.8560, decode.d6.loss_cls: 0.4085, decode.d6.loss_mask: 0.5840, decode.d6.loss_dice: 0.8526, decode.d7.loss_cls: 0.4055, decode.d7.loss_mask: 0.5852, decode.d7.loss_dice: 0.8561, decode.d8.loss_cls: 0.4056, decode.d8.loss_mask: 0.5873, decode.d8.loss_dice: 0.8581, loss: 20.1254, grad_norm: 74.2769 2023-11-22 05:13:16,941 - mmseg - INFO - Iter [48750/160000] lr: 6.623e-06, eta: 18:10:25, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4051, decode.loss_mask: 0.5770, decode.loss_dice: 0.8555, decode.d0.loss_cls: 1.5968, decode.d0.loss_mask: 0.6119, decode.d0.loss_dice: 0.9860, decode.d1.loss_cls: 0.5054, decode.d1.loss_mask: 0.6019, decode.d1.loss_dice: 0.9180, decode.d2.loss_cls: 0.4563, decode.d2.loss_mask: 0.5866, decode.d2.loss_dice: 0.8821, decode.d3.loss_cls: 0.4277, decode.d3.loss_mask: 0.5768, decode.d3.loss_dice: 0.8684, decode.d4.loss_cls: 0.4176, decode.d4.loss_mask: 0.5761, decode.d4.loss_dice: 0.8643, decode.d5.loss_cls: 0.4072, decode.d5.loss_mask: 0.5777, decode.d5.loss_dice: 0.8703, decode.d6.loss_cls: 0.4151, decode.d6.loss_mask: 0.5756, decode.d6.loss_dice: 0.8586, decode.d7.loss_cls: 0.4057, decode.d7.loss_mask: 0.5764, decode.d7.loss_dice: 0.8598, decode.d8.loss_cls: 0.4055, decode.d8.loss_mask: 0.5749, decode.d8.loss_dice: 0.8607, loss: 20.1010, grad_norm: 73.7918 2023-11-22 05:13:45,223 - mmseg - INFO - Iter [48800/160000] lr: 6.620e-06, eta: 18:09:53, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4190, decode.loss_mask: 0.5831, decode.loss_dice: 0.8791, decode.d0.loss_cls: 1.5599, decode.d0.loss_mask: 0.6283, decode.d0.loss_dice: 1.0081, decode.d1.loss_cls: 0.5072, decode.d1.loss_mask: 0.6095, decode.d1.loss_dice: 0.9491, decode.d2.loss_cls: 0.4592, decode.d2.loss_mask: 0.5978, decode.d2.loss_dice: 0.9100, decode.d3.loss_cls: 0.4339, decode.d3.loss_mask: 0.5843, decode.d3.loss_dice: 0.8891, decode.d4.loss_cls: 0.4335, decode.d4.loss_mask: 0.5864, decode.d4.loss_dice: 0.8879, decode.d5.loss_cls: 0.4319, decode.d5.loss_mask: 0.5846, decode.d5.loss_dice: 0.8834, decode.d6.loss_cls: 0.4233, decode.d6.loss_mask: 0.5857, decode.d6.loss_dice: 0.8803, decode.d7.loss_cls: 0.4231, decode.d7.loss_mask: 0.5861, decode.d7.loss_dice: 0.8805, decode.d8.loss_cls: 0.4237, decode.d8.loss_mask: 0.5852, decode.d8.loss_dice: 0.8814, loss: 20.4948, grad_norm: 75.9031 2023-11-22 05:14:13,531 - mmseg - INFO - Iter [48850/160000] lr: 6.617e-06, eta: 18:09:21, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3942, decode.loss_mask: 0.6232, decode.loss_dice: 0.8673, decode.d0.loss_cls: 1.5215, decode.d0.loss_mask: 0.6622, decode.d0.loss_dice: 0.9780, decode.d1.loss_cls: 0.4926, decode.d1.loss_mask: 0.6471, decode.d1.loss_dice: 0.9233, decode.d2.loss_cls: 0.4344, decode.d2.loss_mask: 0.6327, decode.d2.loss_dice: 0.8959, decode.d3.loss_cls: 0.4143, decode.d3.loss_mask: 0.6236, decode.d3.loss_dice: 0.8725, decode.d4.loss_cls: 0.4078, decode.d4.loss_mask: 0.6249, decode.d4.loss_dice: 0.8714, decode.d5.loss_cls: 0.3944, decode.d5.loss_mask: 0.6260, decode.d5.loss_dice: 0.8702, decode.d6.loss_cls: 0.3947, decode.d6.loss_mask: 0.6250, decode.d6.loss_dice: 0.8641, decode.d7.loss_cls: 0.3933, decode.d7.loss_mask: 0.6238, decode.d7.loss_dice: 0.8669, decode.d8.loss_cls: 0.3896, decode.d8.loss_mask: 0.6244, decode.d8.loss_dice: 0.8676, loss: 20.4267, grad_norm: 78.9469 2023-11-22 05:14:41,936 - mmseg - INFO - Iter [48900/160000] lr: 6.614e-06, eta: 18:08:49, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4051, decode.loss_mask: 0.6103, decode.loss_dice: 0.8866, decode.d0.loss_cls: 1.5821, decode.d0.loss_mask: 0.6540, decode.d0.loss_dice: 1.0241, decode.d1.loss_cls: 0.5028, decode.d1.loss_mask: 0.6372, decode.d1.loss_dice: 0.9582, decode.d2.loss_cls: 0.4495, decode.d2.loss_mask: 0.6185, decode.d2.loss_dice: 0.9133, decode.d3.loss_cls: 0.4283, decode.d3.loss_mask: 0.6118, decode.d3.loss_dice: 0.8950, decode.d4.loss_cls: 0.4236, decode.d4.loss_mask: 0.6111, decode.d4.loss_dice: 0.8943, decode.d5.loss_cls: 0.4130, decode.d5.loss_mask: 0.6116, decode.d5.loss_dice: 0.8921, decode.d6.loss_cls: 0.4117, decode.d6.loss_mask: 0.6105, decode.d6.loss_dice: 0.8900, decode.d7.loss_cls: 0.4114, decode.d7.loss_mask: 0.6061, decode.d7.loss_dice: 0.8864, decode.d8.loss_cls: 0.4092, decode.d8.loss_mask: 0.6076, decode.d8.loss_dice: 0.8869, loss: 20.7421, grad_norm: 72.4002 2023-11-22 05:15:10,475 - mmseg - INFO - Iter [48950/160000] lr: 6.611e-06, eta: 18:08:18, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3594, decode.loss_mask: 0.5767, decode.loss_dice: 0.8342, decode.d0.loss_cls: 1.5321, decode.d0.loss_mask: 0.6148, decode.d0.loss_dice: 0.9577, decode.d1.loss_cls: 0.4679, decode.d1.loss_mask: 0.6004, decode.d1.loss_dice: 0.8970, decode.d2.loss_cls: 0.4062, decode.d2.loss_mask: 0.5912, decode.d2.loss_dice: 0.8634, decode.d3.loss_cls: 0.3784, decode.d3.loss_mask: 0.5859, decode.d3.loss_dice: 0.8563, decode.d4.loss_cls: 0.3747, decode.d4.loss_mask: 0.5858, decode.d4.loss_dice: 0.8482, decode.d5.loss_cls: 0.3664, decode.d5.loss_mask: 0.5865, decode.d5.loss_dice: 0.8450, decode.d6.loss_cls: 0.3599, decode.d6.loss_mask: 0.5835, decode.d6.loss_dice: 0.8421, decode.d7.loss_cls: 0.3535, decode.d7.loss_mask: 0.5826, decode.d7.loss_dice: 0.8391, decode.d8.loss_cls: 0.3597, decode.d8.loss_mask: 0.5818, decode.d8.loss_dice: 0.8380, loss: 19.4682, grad_norm: 74.2401 2023-11-22 05:15:38,869 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 05:15:38,869 - mmseg - INFO - Iter [49000/160000] lr: 6.608e-06, eta: 18:07:46, time: 0.568, data_time: 0.015, memory: 38143, decode.loss_cls: 0.3956, decode.loss_mask: 0.5571, decode.loss_dice: 0.8313, decode.d0.loss_cls: 1.5781, decode.d0.loss_mask: 0.5995, decode.d0.loss_dice: 0.9672, decode.d1.loss_cls: 0.5016, decode.d1.loss_mask: 0.5808, decode.d1.loss_dice: 0.8923, decode.d2.loss_cls: 0.4407, decode.d2.loss_mask: 0.5681, decode.d2.loss_dice: 0.8676, decode.d3.loss_cls: 0.4185, decode.d3.loss_mask: 0.5617, decode.d3.loss_dice: 0.8457, decode.d4.loss_cls: 0.4141, decode.d4.loss_mask: 0.5619, decode.d4.loss_dice: 0.8426, decode.d5.loss_cls: 0.3948, decode.d5.loss_mask: 0.5629, decode.d5.loss_dice: 0.8390, decode.d6.loss_cls: 0.3985, decode.d6.loss_mask: 0.5589, decode.d6.loss_dice: 0.8312, decode.d7.loss_cls: 0.3985, decode.d7.loss_mask: 0.5584, decode.d7.loss_dice: 0.8365, decode.d8.loss_cls: 0.3972, decode.d8.loss_mask: 0.5583, decode.d8.loss_dice: 0.8304, loss: 19.5888, grad_norm: 71.8887 2023-11-22 05:16:07,271 - mmseg - INFO - Iter [49050/160000] lr: 6.605e-06, eta: 18:07:14, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4015, decode.loss_mask: 0.5675, decode.loss_dice: 0.8427, decode.d0.loss_cls: 1.5551, decode.d0.loss_mask: 0.5972, decode.d0.loss_dice: 0.9688, decode.d1.loss_cls: 0.4954, decode.d1.loss_mask: 0.5836, decode.d1.loss_dice: 0.8880, decode.d2.loss_cls: 0.4315, decode.d2.loss_mask: 0.5769, decode.d2.loss_dice: 0.8708, decode.d3.loss_cls: 0.4095, decode.d3.loss_mask: 0.5749, decode.d3.loss_dice: 0.8504, decode.d4.loss_cls: 0.4078, decode.d4.loss_mask: 0.5708, decode.d4.loss_dice: 0.8532, decode.d5.loss_cls: 0.4030, decode.d5.loss_mask: 0.5680, decode.d5.loss_dice: 0.8534, decode.d6.loss_cls: 0.3978, decode.d6.loss_mask: 0.5684, decode.d6.loss_dice: 0.8461, decode.d7.loss_cls: 0.3958, decode.d7.loss_mask: 0.5698, decode.d7.loss_dice: 0.8456, decode.d8.loss_cls: 0.3930, decode.d8.loss_mask: 0.5699, decode.d8.loss_dice: 0.8486, loss: 19.7050, grad_norm: 77.1916 2023-11-22 05:16:35,521 - mmseg - INFO - Iter [49100/160000] lr: 6.602e-06, eta: 18:06:42, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3823, decode.loss_mask: 0.5803, decode.loss_dice: 0.8471, decode.d0.loss_cls: 1.5457, decode.d0.loss_mask: 0.6142, decode.d0.loss_dice: 0.9587, decode.d1.loss_cls: 0.4716, decode.d1.loss_mask: 0.5998, decode.d1.loss_dice: 0.8976, decode.d2.loss_cls: 0.4179, decode.d2.loss_mask: 0.5886, decode.d2.loss_dice: 0.8732, decode.d3.loss_cls: 0.4005, decode.d3.loss_mask: 0.5822, decode.d3.loss_dice: 0.8513, decode.d4.loss_cls: 0.3983, decode.d4.loss_mask: 0.5815, decode.d4.loss_dice: 0.8551, decode.d5.loss_cls: 0.3888, decode.d5.loss_mask: 0.5828, decode.d5.loss_dice: 0.8491, decode.d6.loss_cls: 0.3882, decode.d6.loss_mask: 0.5833, decode.d6.loss_dice: 0.8431, decode.d7.loss_cls: 0.3829, decode.d7.loss_mask: 0.5810, decode.d7.loss_dice: 0.8476, decode.d8.loss_cls: 0.3769, decode.d8.loss_mask: 0.5839, decode.d8.loss_dice: 0.8455, loss: 19.6990, grad_norm: 71.5330 2023-11-22 05:17:03,791 - mmseg - INFO - Iter [49150/160000] lr: 6.599e-06, eta: 18:06:10, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3756, decode.loss_mask: 0.6135, decode.loss_dice: 0.8680, decode.d0.loss_cls: 1.4841, decode.d0.loss_mask: 0.6600, decode.d0.loss_dice: 0.9834, decode.d1.loss_cls: 0.4640, decode.d1.loss_mask: 0.6440, decode.d1.loss_dice: 0.9210, decode.d2.loss_cls: 0.4054, decode.d2.loss_mask: 0.6297, decode.d2.loss_dice: 0.9006, decode.d3.loss_cls: 0.3845, decode.d3.loss_mask: 0.6224, decode.d3.loss_dice: 0.8810, decode.d4.loss_cls: 0.3768, decode.d4.loss_mask: 0.6175, decode.d4.loss_dice: 0.8750, decode.d5.loss_cls: 0.3790, decode.d5.loss_mask: 0.6151, decode.d5.loss_dice: 0.8723, decode.d6.loss_cls: 0.3816, decode.d6.loss_mask: 0.6167, decode.d6.loss_dice: 0.8689, decode.d7.loss_cls: 0.3758, decode.d7.loss_mask: 0.6147, decode.d7.loss_dice: 0.8710, decode.d8.loss_cls: 0.3765, decode.d8.loss_mask: 0.6158, decode.d8.loss_dice: 0.8672, loss: 20.1609, grad_norm: 75.4769 2023-11-22 05:17:32,404 - mmseg - INFO - Iter [49200/160000] lr: 6.596e-06, eta: 18:05:39, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3891, decode.loss_mask: 0.5691, decode.loss_dice: 0.8412, decode.d0.loss_cls: 1.5410, decode.d0.loss_mask: 0.6035, decode.d0.loss_dice: 0.9611, decode.d1.loss_cls: 0.4986, decode.d1.loss_mask: 0.5969, decode.d1.loss_dice: 0.8861, decode.d2.loss_cls: 0.4313, decode.d2.loss_mask: 0.5797, decode.d2.loss_dice: 0.8665, decode.d3.loss_cls: 0.4139, decode.d3.loss_mask: 0.5707, decode.d3.loss_dice: 0.8502, decode.d4.loss_cls: 0.4094, decode.d4.loss_mask: 0.5704, decode.d4.loss_dice: 0.8468, decode.d5.loss_cls: 0.4006, decode.d5.loss_mask: 0.5707, decode.d5.loss_dice: 0.8448, decode.d6.loss_cls: 0.4026, decode.d6.loss_mask: 0.5677, decode.d6.loss_dice: 0.8447, decode.d7.loss_cls: 0.3998, decode.d7.loss_mask: 0.5674, decode.d7.loss_dice: 0.8398, decode.d8.loss_cls: 0.3977, decode.d8.loss_mask: 0.5663, decode.d8.loss_dice: 0.8423, loss: 19.6700, grad_norm: 67.3393 2023-11-22 05:18:00,706 - mmseg - INFO - Iter [49250/160000] lr: 6.593e-06, eta: 18:05:07, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3888, decode.loss_mask: 0.5689, decode.loss_dice: 0.8496, decode.d0.loss_cls: 1.5226, decode.d0.loss_mask: 0.6097, decode.d0.loss_dice: 0.9798, decode.d1.loss_cls: 0.5074, decode.d1.loss_mask: 0.5924, decode.d1.loss_dice: 0.9048, decode.d2.loss_cls: 0.4444, decode.d2.loss_mask: 0.5778, decode.d2.loss_dice: 0.8843, decode.d3.loss_cls: 0.4112, decode.d3.loss_mask: 0.5693, decode.d3.loss_dice: 0.8611, decode.d4.loss_cls: 0.4054, decode.d4.loss_mask: 0.5697, decode.d4.loss_dice: 0.8553, decode.d5.loss_cls: 0.3963, decode.d5.loss_mask: 0.5711, decode.d5.loss_dice: 0.8645, decode.d6.loss_cls: 0.3982, decode.d6.loss_mask: 0.5682, decode.d6.loss_dice: 0.8509, decode.d7.loss_cls: 0.4004, decode.d7.loss_mask: 0.5673, decode.d7.loss_dice: 0.8487, decode.d8.loss_cls: 0.3922, decode.d8.loss_mask: 0.5693, decode.d8.loss_dice: 0.8530, loss: 19.7826, grad_norm: 77.6591 2023-11-22 05:18:31,476 - mmseg - INFO - Iter [49300/160000] lr: 6.590e-06, eta: 18:04:41, time: 0.616, data_time: 0.058, memory: 38143, decode.loss_cls: 0.3817, decode.loss_mask: 0.5671, decode.loss_dice: 0.8586, decode.d0.loss_cls: 1.5636, decode.d0.loss_mask: 0.6047, decode.d0.loss_dice: 0.9771, decode.d1.loss_cls: 0.4918, decode.d1.loss_mask: 0.5874, decode.d1.loss_dice: 0.9096, decode.d2.loss_cls: 0.4227, decode.d2.loss_mask: 0.5762, decode.d2.loss_dice: 0.8852, decode.d3.loss_cls: 0.3963, decode.d3.loss_mask: 0.5722, decode.d3.loss_dice: 0.8660, decode.d4.loss_cls: 0.3910, decode.d4.loss_mask: 0.5707, decode.d4.loss_dice: 0.8627, decode.d5.loss_cls: 0.3908, decode.d5.loss_mask: 0.5693, decode.d5.loss_dice: 0.8619, decode.d6.loss_cls: 0.3877, decode.d6.loss_mask: 0.5650, decode.d6.loss_dice: 0.8561, decode.d7.loss_cls: 0.3846, decode.d7.loss_mask: 0.5651, decode.d7.loss_dice: 0.8567, decode.d8.loss_cls: 0.3813, decode.d8.loss_mask: 0.5643, decode.d8.loss_dice: 0.8567, loss: 19.7243, grad_norm: 71.3937 2023-11-22 05:18:59,756 - mmseg - INFO - Iter [49350/160000] lr: 6.587e-06, eta: 18:04:09, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3650, decode.loss_mask: 0.5676, decode.loss_dice: 0.8185, decode.d0.loss_cls: 1.5357, decode.d0.loss_mask: 0.6006, decode.d0.loss_dice: 0.9421, decode.d1.loss_cls: 0.4736, decode.d1.loss_mask: 0.5861, decode.d1.loss_dice: 0.8739, decode.d2.loss_cls: 0.4031, decode.d2.loss_mask: 0.5742, decode.d2.loss_dice: 0.8458, decode.d3.loss_cls: 0.3790, decode.d3.loss_mask: 0.5708, decode.d3.loss_dice: 0.8313, decode.d4.loss_cls: 0.3736, decode.d4.loss_mask: 0.5672, decode.d4.loss_dice: 0.8272, decode.d5.loss_cls: 0.3663, decode.d5.loss_mask: 0.5667, decode.d5.loss_dice: 0.8290, decode.d6.loss_cls: 0.3666, decode.d6.loss_mask: 0.5657, decode.d6.loss_dice: 0.8213, decode.d7.loss_cls: 0.3605, decode.d7.loss_mask: 0.5686, decode.d7.loss_dice: 0.8218, decode.d8.loss_cls: 0.3555, decode.d8.loss_mask: 0.5698, decode.d8.loss_dice: 0.8242, loss: 19.1515, grad_norm: 72.2991 2023-11-22 05:19:27,919 - mmseg - INFO - Iter [49400/160000] lr: 6.584e-06, eta: 18:03:37, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3884, decode.loss_mask: 0.5700, decode.loss_dice: 0.8358, decode.d0.loss_cls: 1.5295, decode.d0.loss_mask: 0.6133, decode.d0.loss_dice: 0.9678, decode.d1.loss_cls: 0.4970, decode.d1.loss_mask: 0.5928, decode.d1.loss_dice: 0.8874, decode.d2.loss_cls: 0.4299, decode.d2.loss_mask: 0.5810, decode.d2.loss_dice: 0.8652, decode.d3.loss_cls: 0.4047, decode.d3.loss_mask: 0.5749, decode.d3.loss_dice: 0.8488, decode.d4.loss_cls: 0.3922, decode.d4.loss_mask: 0.5720, decode.d4.loss_dice: 0.8460, decode.d5.loss_cls: 0.3911, decode.d5.loss_mask: 0.5734, decode.d5.loss_dice: 0.8469, decode.d6.loss_cls: 0.3903, decode.d6.loss_mask: 0.5704, decode.d6.loss_dice: 0.8360, decode.d7.loss_cls: 0.3883, decode.d7.loss_mask: 0.5711, decode.d7.loss_dice: 0.8347, decode.d8.loss_cls: 0.3852, decode.d8.loss_mask: 0.5709, decode.d8.loss_dice: 0.8368, loss: 19.5918, grad_norm: 74.0593 2023-11-22 05:19:56,108 - mmseg - INFO - Iter [49450/160000] lr: 6.581e-06, eta: 18:03:05, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3908, decode.loss_mask: 0.5689, decode.loss_dice: 0.8354, decode.d0.loss_cls: 1.5253, decode.d0.loss_mask: 0.6050, decode.d0.loss_dice: 0.9687, decode.d1.loss_cls: 0.4814, decode.d1.loss_mask: 0.5890, decode.d1.loss_dice: 0.8955, decode.d2.loss_cls: 0.4257, decode.d2.loss_mask: 0.5821, decode.d2.loss_dice: 0.8677, decode.d3.loss_cls: 0.4086, decode.d3.loss_mask: 0.5748, decode.d3.loss_dice: 0.8484, decode.d4.loss_cls: 0.3970, decode.d4.loss_mask: 0.5747, decode.d4.loss_dice: 0.8480, decode.d5.loss_cls: 0.3963, decode.d5.loss_mask: 0.5766, decode.d5.loss_dice: 0.8462, decode.d6.loss_cls: 0.3900, decode.d6.loss_mask: 0.5700, decode.d6.loss_dice: 0.8403, decode.d7.loss_cls: 0.3868, decode.d7.loss_mask: 0.5733, decode.d7.loss_dice: 0.8434, decode.d8.loss_cls: 0.3913, decode.d8.loss_mask: 0.5681, decode.d8.loss_dice: 0.8436, loss: 19.6127, grad_norm: 80.5684 2023-11-22 05:20:24,979 - mmseg - INFO - Iter [49500/160000] lr: 6.578e-06, eta: 18:02:34, time: 0.577, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3782, decode.loss_mask: 0.5675, decode.loss_dice: 0.8553, decode.d0.loss_cls: 1.5169, decode.d0.loss_mask: 0.6043, decode.d0.loss_dice: 0.9908, decode.d1.loss_cls: 0.4725, decode.d1.loss_mask: 0.5952, decode.d1.loss_dice: 0.9133, decode.d2.loss_cls: 0.4100, decode.d2.loss_mask: 0.5782, decode.d2.loss_dice: 0.8873, decode.d3.loss_cls: 0.3891, decode.d3.loss_mask: 0.5697, decode.d3.loss_dice: 0.8610, decode.d4.loss_cls: 0.3814, decode.d4.loss_mask: 0.5681, decode.d4.loss_dice: 0.8619, decode.d5.loss_cls: 0.3804, decode.d5.loss_mask: 0.5681, decode.d5.loss_dice: 0.8601, decode.d6.loss_cls: 0.3770, decode.d6.loss_mask: 0.5669, decode.d6.loss_dice: 0.8536, decode.d7.loss_cls: 0.3792, decode.d7.loss_mask: 0.5640, decode.d7.loss_dice: 0.8513, decode.d8.loss_cls: 0.3736, decode.d8.loss_mask: 0.5653, decode.d8.loss_dice: 0.8588, loss: 19.5989, grad_norm: 73.6683 2023-11-22 05:20:53,265 - mmseg - INFO - Iter [49550/160000] lr: 6.575e-06, eta: 18:02:03, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3916, decode.loss_mask: 0.5795, decode.loss_dice: 0.8491, decode.d0.loss_cls: 1.5654, decode.d0.loss_mask: 0.6228, decode.d0.loss_dice: 0.9779, decode.d1.loss_cls: 0.4883, decode.d1.loss_mask: 0.6126, decode.d1.loss_dice: 0.9210, decode.d2.loss_cls: 0.4294, decode.d2.loss_mask: 0.5935, decode.d2.loss_dice: 0.8804, decode.d3.loss_cls: 0.4023, decode.d3.loss_mask: 0.5896, decode.d3.loss_dice: 0.8604, decode.d4.loss_cls: 0.3975, decode.d4.loss_mask: 0.5886, decode.d4.loss_dice: 0.8598, decode.d5.loss_cls: 0.3948, decode.d5.loss_mask: 0.5858, decode.d5.loss_dice: 0.8576, decode.d6.loss_cls: 0.3960, decode.d6.loss_mask: 0.5829, decode.d6.loss_dice: 0.8529, decode.d7.loss_cls: 0.3910, decode.d7.loss_mask: 0.5838, decode.d7.loss_dice: 0.8525, decode.d8.loss_cls: 0.3881, decode.d8.loss_mask: 0.5836, decode.d8.loss_dice: 0.8573, loss: 19.9360, grad_norm: 74.3587 2023-11-22 05:21:21,645 - mmseg - INFO - Iter [49600/160000] lr: 6.572e-06, eta: 18:01:31, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3776, decode.loss_mask: 0.5716, decode.loss_dice: 0.8494, decode.d0.loss_cls: 1.5486, decode.d0.loss_mask: 0.6157, decode.d0.loss_dice: 0.9720, decode.d1.loss_cls: 0.4690, decode.d1.loss_mask: 0.5985, decode.d1.loss_dice: 0.9011, decode.d2.loss_cls: 0.4148, decode.d2.loss_mask: 0.5845, decode.d2.loss_dice: 0.8765, decode.d3.loss_cls: 0.3889, decode.d3.loss_mask: 0.5767, decode.d3.loss_dice: 0.8612, decode.d4.loss_cls: 0.3849, decode.d4.loss_mask: 0.5757, decode.d4.loss_dice: 0.8565, decode.d5.loss_cls: 0.3834, decode.d5.loss_mask: 0.5739, decode.d5.loss_dice: 0.8525, decode.d6.loss_cls: 0.3769, decode.d6.loss_mask: 0.5735, decode.d6.loss_dice: 0.8514, decode.d7.loss_cls: 0.3798, decode.d7.loss_mask: 0.5722, decode.d7.loss_dice: 0.8557, decode.d8.loss_cls: 0.3796, decode.d8.loss_mask: 0.5711, decode.d8.loss_dice: 0.8513, loss: 19.6443, grad_norm: 72.1152 2023-11-22 05:21:50,064 - mmseg - INFO - Iter [49650/160000] lr: 6.569e-06, eta: 18:00:59, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4083, decode.loss_mask: 0.5763, decode.loss_dice: 0.8586, decode.d0.loss_cls: 1.5901, decode.d0.loss_mask: 0.6130, decode.d0.loss_dice: 0.9961, decode.d1.loss_cls: 0.4994, decode.d1.loss_mask: 0.5992, decode.d1.loss_dice: 0.9182, decode.d2.loss_cls: 0.4321, decode.d2.loss_mask: 0.5874, decode.d2.loss_dice: 0.8935, decode.d3.loss_cls: 0.4203, decode.d3.loss_mask: 0.5819, decode.d3.loss_dice: 0.8740, decode.d4.loss_cls: 0.4174, decode.d4.loss_mask: 0.5797, decode.d4.loss_dice: 0.8709, decode.d5.loss_cls: 0.4167, decode.d5.loss_mask: 0.5754, decode.d5.loss_dice: 0.8627, decode.d6.loss_cls: 0.4110, decode.d6.loss_mask: 0.5763, decode.d6.loss_dice: 0.8560, decode.d7.loss_cls: 0.4138, decode.d7.loss_mask: 0.5764, decode.d7.loss_dice: 0.8555, decode.d8.loss_cls: 0.4060, decode.d8.loss_mask: 0.5778, decode.d8.loss_dice: 0.8572, loss: 20.1013, grad_norm: 71.7119 2023-11-22 05:22:18,343 - mmseg - INFO - Iter [49700/160000] lr: 6.566e-06, eta: 18:00:28, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3968, decode.loss_mask: 0.5955, decode.loss_dice: 0.8819, decode.d0.loss_cls: 1.5474, decode.d0.loss_mask: 0.6246, decode.d0.loss_dice: 1.0023, decode.d1.loss_cls: 0.5153, decode.d1.loss_mask: 0.6158, decode.d1.loss_dice: 0.9276, decode.d2.loss_cls: 0.4417, decode.d2.loss_mask: 0.6071, decode.d2.loss_dice: 0.8986, decode.d3.loss_cls: 0.4152, decode.d3.loss_mask: 0.5987, decode.d3.loss_dice: 0.8859, decode.d4.loss_cls: 0.4110, decode.d4.loss_mask: 0.5995, decode.d4.loss_dice: 0.8876, decode.d5.loss_cls: 0.4048, decode.d5.loss_mask: 0.5950, decode.d5.loss_dice: 0.8879, decode.d6.loss_cls: 0.4047, decode.d6.loss_mask: 0.5941, decode.d6.loss_dice: 0.8787, decode.d7.loss_cls: 0.3989, decode.d7.loss_mask: 0.5912, decode.d7.loss_dice: 0.8824, decode.d8.loss_cls: 0.3934, decode.d8.loss_mask: 0.5953, decode.d8.loss_dice: 0.8842, loss: 20.3631, grad_norm: 75.3637 2023-11-22 05:22:46,693 - mmseg - INFO - Iter [49750/160000] lr: 6.563e-06, eta: 17:59:56, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3821, decode.loss_mask: 0.5725, decode.loss_dice: 0.8326, decode.d0.loss_cls: 1.5573, decode.d0.loss_mask: 0.6083, decode.d0.loss_dice: 0.9527, decode.d1.loss_cls: 0.4769, decode.d1.loss_mask: 0.5988, decode.d1.loss_dice: 0.8910, decode.d2.loss_cls: 0.4163, decode.d2.loss_mask: 0.5849, decode.d2.loss_dice: 0.8607, decode.d3.loss_cls: 0.3919, decode.d3.loss_mask: 0.5788, decode.d3.loss_dice: 0.8492, decode.d4.loss_cls: 0.3835, decode.d4.loss_mask: 0.5817, decode.d4.loss_dice: 0.8449, decode.d5.loss_cls: 0.3761, decode.d5.loss_mask: 0.5756, decode.d5.loss_dice: 0.8391, decode.d6.loss_cls: 0.3762, decode.d6.loss_mask: 0.5729, decode.d6.loss_dice: 0.8383, decode.d7.loss_cls: 0.3754, decode.d7.loss_mask: 0.5723, decode.d7.loss_dice: 0.8379, decode.d8.loss_cls: 0.3828, decode.d8.loss_mask: 0.5739, decode.d8.loss_dice: 0.8347, loss: 19.5192, grad_norm: 72.4629 2023-11-22 05:23:15,133 - mmseg - INFO - Iter [49800/160000] lr: 6.560e-06, eta: 17:59:24, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3681, decode.loss_mask: 0.5861, decode.loss_dice: 0.8164, decode.d0.loss_cls: 1.5071, decode.d0.loss_mask: 0.6202, decode.d0.loss_dice: 0.9291, decode.d1.loss_cls: 0.4529, decode.d1.loss_mask: 0.6055, decode.d1.loss_dice: 0.8742, decode.d2.loss_cls: 0.4006, decode.d2.loss_mask: 0.5966, decode.d2.loss_dice: 0.8497, decode.d3.loss_cls: 0.3854, decode.d3.loss_mask: 0.5851, decode.d3.loss_dice: 0.8300, decode.d4.loss_cls: 0.3781, decode.d4.loss_mask: 0.5864, decode.d4.loss_dice: 0.8262, decode.d5.loss_cls: 0.3682, decode.d5.loss_mask: 0.5884, decode.d5.loss_dice: 0.8235, decode.d6.loss_cls: 0.3714, decode.d6.loss_mask: 0.5871, decode.d6.loss_dice: 0.8151, decode.d7.loss_cls: 0.3664, decode.d7.loss_mask: 0.5865, decode.d7.loss_dice: 0.8113, decode.d8.loss_cls: 0.3655, decode.d8.loss_mask: 0.5852, decode.d8.loss_dice: 0.8130, loss: 19.2793, grad_norm: 77.8554 2023-11-22 05:23:43,489 - mmseg - INFO - Iter [49850/160000] lr: 6.557e-06, eta: 17:58:53, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3935, decode.loss_mask: 0.5656, decode.loss_dice: 0.8554, decode.d0.loss_cls: 1.5518, decode.d0.loss_mask: 0.5948, decode.d0.loss_dice: 0.9844, decode.d1.loss_cls: 0.4904, decode.d1.loss_mask: 0.5890, decode.d1.loss_dice: 0.9117, decode.d2.loss_cls: 0.4243, decode.d2.loss_mask: 0.5769, decode.d2.loss_dice: 0.8922, decode.d3.loss_cls: 0.4090, decode.d3.loss_mask: 0.5683, decode.d3.loss_dice: 0.8684, decode.d4.loss_cls: 0.4019, decode.d4.loss_mask: 0.5701, decode.d4.loss_dice: 0.8664, decode.d5.loss_cls: 0.3959, decode.d5.loss_mask: 0.5704, decode.d5.loss_dice: 0.8636, decode.d6.loss_cls: 0.3974, decode.d6.loss_mask: 0.5651, decode.d6.loss_dice: 0.8595, decode.d7.loss_cls: 0.3941, decode.d7.loss_mask: 0.5680, decode.d7.loss_dice: 0.8548, decode.d8.loss_cls: 0.4005, decode.d8.loss_mask: 0.5667, decode.d8.loss_dice: 0.8581, loss: 19.8081, grad_norm: 76.6190 2023-11-22 05:24:11,685 - mmseg - INFO - Iter [49900/160000] lr: 6.554e-06, eta: 17:58:21, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4106, decode.loss_mask: 0.5751, decode.loss_dice: 0.8502, decode.d0.loss_cls: 1.5994, decode.d0.loss_mask: 0.6184, decode.d0.loss_dice: 0.9896, decode.d1.loss_cls: 0.5102, decode.d1.loss_mask: 0.6062, decode.d1.loss_dice: 0.9251, decode.d2.loss_cls: 0.4448, decode.d2.loss_mask: 0.5939, decode.d2.loss_dice: 0.8843, decode.d3.loss_cls: 0.4309, decode.d3.loss_mask: 0.5860, decode.d3.loss_dice: 0.8557, decode.d4.loss_cls: 0.4217, decode.d4.loss_mask: 0.5866, decode.d4.loss_dice: 0.8599, decode.d5.loss_cls: 0.4145, decode.d5.loss_mask: 0.5843, decode.d5.loss_dice: 0.8563, decode.d6.loss_cls: 0.4126, decode.d6.loss_mask: 0.5819, decode.d6.loss_dice: 0.8510, decode.d7.loss_cls: 0.4130, decode.d7.loss_mask: 0.5804, decode.d7.loss_dice: 0.8504, decode.d8.loss_cls: 0.4119, decode.d8.loss_mask: 0.5777, decode.d8.loss_dice: 0.8504, loss: 20.1330, grad_norm: 70.6149 2023-11-22 05:24:40,029 - mmseg - INFO - Iter [49950/160000] lr: 6.551e-06, eta: 17:57:49, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3782, decode.loss_mask: 0.5850, decode.loss_dice: 0.8321, decode.d0.loss_cls: 1.5072, decode.d0.loss_mask: 0.6189, decode.d0.loss_dice: 0.9521, decode.d1.loss_cls: 0.4631, decode.d1.loss_mask: 0.6088, decode.d1.loss_dice: 0.8757, decode.d2.loss_cls: 0.4014, decode.d2.loss_mask: 0.5939, decode.d2.loss_dice: 0.8601, decode.d3.loss_cls: 0.3879, decode.d3.loss_mask: 0.5854, decode.d3.loss_dice: 0.8387, decode.d4.loss_cls: 0.3819, decode.d4.loss_mask: 0.5855, decode.d4.loss_dice: 0.8444, decode.d5.loss_cls: 0.3774, decode.d5.loss_mask: 0.5827, decode.d5.loss_dice: 0.8396, decode.d6.loss_cls: 0.3771, decode.d6.loss_mask: 0.5810, decode.d6.loss_dice: 0.8352, decode.d7.loss_cls: 0.3732, decode.d7.loss_mask: 0.5833, decode.d7.loss_dice: 0.8303, decode.d8.loss_cls: 0.3743, decode.d8.loss_mask: 0.5832, decode.d8.loss_dice: 0.8332, loss: 19.4708, grad_norm: 73.4990 2023-11-22 05:25:08,188 - mmseg - INFO - Saving checkpoint at 50000 iterations 2023-11-22 05:25:16,166 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 05:25:16,167 - mmseg - INFO - Iter [50000/160000] lr: 6.548e-06, eta: 17:57:35, time: 0.723, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3749, decode.loss_mask: 0.5917, decode.loss_dice: 0.8669, decode.d0.loss_cls: 1.5305, decode.d0.loss_mask: 0.6363, decode.d0.loss_dice: 0.9963, decode.d1.loss_cls: 0.4720, decode.d1.loss_mask: 0.6188, decode.d1.loss_dice: 0.9301, decode.d2.loss_cls: 0.4182, decode.d2.loss_mask: 0.6080, decode.d2.loss_dice: 0.8998, decode.d3.loss_cls: 0.3947, decode.d3.loss_mask: 0.6006, decode.d3.loss_dice: 0.8780, decode.d4.loss_cls: 0.3856, decode.d4.loss_mask: 0.6003, decode.d4.loss_dice: 0.8783, decode.d5.loss_cls: 0.3768, decode.d5.loss_mask: 0.5938, decode.d5.loss_dice: 0.8788, decode.d6.loss_cls: 0.3756, decode.d6.loss_mask: 0.5932, decode.d6.loss_dice: 0.8657, decode.d7.loss_cls: 0.3766, decode.d7.loss_mask: 0.5923, decode.d7.loss_dice: 0.8666, decode.d8.loss_cls: 0.3725, decode.d8.loss_mask: 0.5912, decode.d8.loss_dice: 0.8692, loss: 20.0332, grad_norm: 74.6323 2023-11-22 05:25:35,569 - mmseg - INFO - per class results: 2023-11-22 05:25:35,574 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.38 | 88.39 | | building | 83.67 | 92.45 | | sky | 94.98 | 97.78 | | floor | 84.35 | 89.3 | | tree | 76.97 | 87.66 | | ceiling | 85.65 | 91.43 | | road | 87.44 | 92.97 | | bed | 91.55 | 95.98 | | windowpane | 64.41 | 80.32 | | grass | 67.07 | 75.51 | | cabinet | 62.67 | 72.61 | | sidewalk | 69.95 | 82.8 | | person | 86.63 | 93.34 | | earth | 35.61 | 49.33 | | door | 52.99 | 67.98 | | table | 66.8 | 85.33 | | mountain | 62.64 | 83.06 | | plant | 53.45 | 68.97 | | curtain | 77.07 | 88.85 | | chair | 66.02 | 80.45 | | car | 86.97 | 92.79 | | water | 49.45 | 63.43 | | painting | 75.46 | 91.18 | | sofa | 77.28 | 88.09 | | shelf | 42.18 | 56.62 | | house | 43.26 | 63.8 | | sea | 56.56 | 89.37 | | mirror | 71.43 | 81.11 | | rug | 68.79 | 87.94 | | field | 31.4 | 63.83 | | armchair | 52.27 | 69.43 | | seat | 66.64 | 84.98 | | fence | 48.35 | 72.55 | | desk | 51.15 | 68.85 | | rock | 50.48 | 72.89 | | wardrobe | 44.85 | 66.12 | | lamp | 71.76 | 83.83 | | bathtub | 79.69 | 85.95 | | railing | 37.37 | 59.52 | | cushion | 67.38 | 76.28 | | base | 40.93 | 58.46 | | box | 31.08 | 45.91 | | column | 54.63 | 71.22 | | signboard | 41.73 | 59.92 | | chest of drawers | 45.93 | 80.71 | | counter | 39.36 | 49.14 | | sand | 35.41 | 50.91 | | sink | 80.28 | 85.99 | | skyscraper | 35.14 | 41.09 | | fireplace | 71.21 | 87.89 | | refrigerator | 73.41 | 84.66 | | grandstand | 65.96 | 74.92 | | path | 17.6 | 27.08 | | stairs | 27.74 | 32.09 | | runway | 76.58 | 97.78 | | case | 65.99 | 85.92 | | pool table | 93.84 | 97.51 | | pillow | 62.84 | 80.57 | | screen door | 73.39 | 92.08 | | stairway | 26.67 | 54.1 | | river | 20.16 | 28.38 | | bridge | 77.06 | 86.18 | | bookcase | 29.77 | 63.82 | | blind | 42.46 | 52.12 | | coffee table | 68.44 | 78.64 | | toilet | 88.91 | 91.52 | | flower | 45.46 | 63.11 | | book | 51.34 | 73.91 | | hill | 12.32 | 15.66 | | bench | 64.09 | 72.51 | | countertop | 58.24 | 72.88 | | stove | 83.68 | 88.28 | | palm | 56.3 | 84.78 | | kitchen island | 45.6 | 67.43 | | computer | 78.61 | 89.86 | | swivel chair | 57.85 | 76.01 | | boat | 37.6 | 58.78 | | bar | 65.27 | 69.86 | | arcade machine | 76.51 | 80.73 | | hovel | 44.13 | 47.94 | | bus | 93.96 | 97.59 | | towel | 68.15 | 94.34 | | light | 61.0 | 83.27 | | truck | 47.78 | 71.21 | | tower | 47.31 | 82.42 | | chandelier | 72.08 | 90.23 | | awning | 44.01 | 58.59 | | streetlight | 45.36 | 65.05 | | booth | 41.52 | 42.37 | | television receiver | 70.01 | 88.18 | | airplane | 68.94 | 73.19 | | dirt track | 15.46 | 43.08 | | apparel | 47.45 | 67.35 | | pole | 33.45 | 52.44 | | land | 0.2 | 0.27 | | bannister | 19.28 | 30.65 | | escalator | 26.58 | 27.72 | | ottoman | 60.75 | 81.13 | | bottle | 44.07 | 70.81 | | buffet | 40.11 | 58.5 | | poster | 34.27 | 50.67 | | stage | 28.71 | 46.62 | | van | 46.6 | 73.17 | | ship | 40.49 | 87.31 | | fountain | 20.02 | 21.82 | | conveyer belt | 73.4 | 91.39 | | canopy | 37.93 | 73.55 | | washer | 70.76 | 75.79 | | plaything | 43.42 | 73.09 | | swimming pool | 48.41 | 69.98 | | stool | 56.9 | 66.72 | | barrel | 33.01 | 97.84 | | basket | 44.9 | 65.31 | | waterfall | 35.07 | 47.43 | | tent | 94.98 | 98.16 | | bag | 31.04 | 40.69 | | minibike | 70.08 | 91.03 | | cradle | 83.78 | 97.61 | | oven | 28.79 | 69.06 | | ball | 47.07 | 54.72 | | food | 60.35 | 65.53 | | step | 34.78 | 46.35 | | tank | 53.51 | 65.98 | | trade name | 24.68 | 31.2 | | microwave | 40.8 | 44.21 | | pot | 57.18 | 72.25 | | animal | 69.19 | 70.91 | | bicycle | 59.51 | 85.97 | | lake | 0.0 | 0.0 | | dishwasher | 77.3 | 84.16 | | screen | 53.06 | 88.1 | | blanket | 35.17 | 48.4 | | sculpture | 66.53 | 89.41 | | hood | 70.95 | 76.91 | | sconce | 60.21 | 80.66 | | vase | 51.97 | 79.49 | | traffic light | 41.53 | 73.96 | | tray | 21.57 | 33.89 | | ashcan | 48.91 | 72.03 | | fan | 66.13 | 84.69 | | pier | 11.06 | 16.82 | | crt screen | 5.85 | 14.54 | | plate | 62.37 | 83.32 | | monitor | 2.93 | 3.61 | | bulletin board | 60.56 | 77.91 | | shower | 13.03 | 26.0 | | radiator | 73.86 | 89.52 | | glass | 24.73 | 28.98 | | clock | 48.85 | 59.94 | | flag | 49.08 | 53.56 | +---------------------+-------+-------+ 2023-11-22 05:25:35,574 - mmseg - INFO - Summary: 2023-11-22 05:25:35,574 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.72 | 53.67 | 68.81 | +-------+-------+-------+ 2023-11-22 05:25:35,575 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 05:25:35,575 - mmseg - INFO - Iter(val) [250] aAcc: 0.8472, mIoU: 0.5367, mAcc: 0.6881, IoU.wall: 0.8138, IoU.building: 0.8367, IoU.sky: 0.9498, IoU.floor: 0.8435, IoU.tree: 0.7697, IoU.ceiling: 0.8565, IoU.road: 0.8744, IoU.bed : 0.9155, IoU.windowpane: 0.6441, IoU.grass: 0.6707, IoU.cabinet: 0.6267, IoU.sidewalk: 0.6995, IoU.person: 0.8663, IoU.earth: 0.3561, IoU.door: 0.5299, IoU.table: 0.6680, IoU.mountain: 0.6264, IoU.plant: 0.5345, IoU.curtain: 0.7707, IoU.chair: 0.6602, IoU.car: 0.8697, IoU.water: 0.4945, IoU.painting: 0.7546, IoU.sofa: 0.7728, IoU.shelf: 0.4218, IoU.house: 0.4326, IoU.sea: 0.5656, IoU.mirror: 0.7143, IoU.rug: 0.6879, IoU.field: 0.3140, IoU.armchair: 0.5227, IoU.seat: 0.6664, IoU.fence: 0.4835, IoU.desk: 0.5115, IoU.rock: 0.5048, IoU.wardrobe: 0.4485, IoU.lamp: 0.7176, IoU.bathtub: 0.7969, IoU.railing: 0.3737, IoU.cushion: 0.6738, IoU.base: 0.4093, IoU.box: 0.3108, IoU.column: 0.5463, IoU.signboard: 0.4173, IoU.chest of drawers: 0.4593, IoU.counter: 0.3936, IoU.sand: 0.3541, IoU.sink: 0.8028, IoU.skyscraper: 0.3514, IoU.fireplace: 0.7121, IoU.refrigerator: 0.7341, IoU.grandstand: 0.6596, IoU.path: 0.1760, IoU.stairs: 0.2774, IoU.runway: 0.7658, IoU.case: 0.6599, IoU.pool table: 0.9384, IoU.pillow: 0.6284, IoU.screen door: 0.7339, IoU.stairway: 0.2667, IoU.river: 0.2016, IoU.bridge: 0.7706, IoU.bookcase: 0.2977, IoU.blind: 0.4246, IoU.coffee table: 0.6844, IoU.toilet: 0.8891, IoU.flower: 0.4546, IoU.book: 0.5134, IoU.hill: 0.1232, IoU.bench: 0.6409, IoU.countertop: 0.5824, IoU.stove: 0.8368, IoU.palm: 0.5630, IoU.kitchen island: 0.4560, IoU.computer: 0.7861, IoU.swivel chair: 0.5785, IoU.boat: 0.3760, IoU.bar: 0.6527, IoU.arcade machine: 0.7651, IoU.hovel: 0.4413, IoU.bus: 0.9396, IoU.towel: 0.6815, IoU.light: 0.6100, IoU.truck: 0.4778, IoU.tower: 0.4731, IoU.chandelier: 0.7208, IoU.awning: 0.4401, IoU.streetlight: 0.4536, IoU.booth: 0.4152, IoU.television receiver: 0.7001, IoU.airplane: 0.6894, IoU.dirt track: 0.1546, IoU.apparel: 0.4745, IoU.pole: 0.3345, IoU.land: 0.0020, IoU.bannister: 0.1928, IoU.escalator: 0.2658, IoU.ottoman: 0.6075, IoU.bottle: 0.4407, IoU.buffet: 0.4011, IoU.poster: 0.3427, IoU.stage: 0.2871, IoU.van: 0.4660, IoU.ship: 0.4049, IoU.fountain: 0.2002, IoU.conveyer belt: 0.7340, IoU.canopy: 0.3793, IoU.washer: 0.7076, IoU.plaything: 0.4342, IoU.swimming pool: 0.4841, IoU.stool: 0.5690, IoU.barrel: 0.3301, IoU.basket: 0.4490, IoU.waterfall: 0.3507, IoU.tent: 0.9498, IoU.bag: 0.3104, IoU.minibike: 0.7008, IoU.cradle: 0.8378, IoU.oven: 0.2879, IoU.ball: 0.4707, IoU.food: 0.6035, IoU.step: 0.3478, IoU.tank: 0.5351, IoU.trade name: 0.2468, IoU.microwave: 0.4080, IoU.pot: 0.5718, IoU.animal: 0.6919, IoU.bicycle: 0.5951, IoU.lake: 0.0000, IoU.dishwasher: 0.7730, IoU.screen: 0.5306, IoU.blanket: 0.3517, IoU.sculpture: 0.6653, IoU.hood: 0.7095, IoU.sconce: 0.6021, IoU.vase: 0.5197, IoU.traffic light: 0.4153, IoU.tray: 0.2157, IoU.ashcan: 0.4891, IoU.fan: 0.6613, IoU.pier: 0.1106, IoU.crt screen: 0.0585, IoU.plate: 0.6237, IoU.monitor: 0.0293, IoU.bulletin board: 0.6056, IoU.shower: 0.1303, IoU.radiator: 0.7386, IoU.glass: 0.2473, IoU.clock: 0.4885, IoU.flag: 0.4908, Acc.wall: 0.8839, Acc.building: 0.9245, Acc.sky: 0.9778, Acc.floor: 0.8930, Acc.tree: 0.8766, Acc.ceiling: 0.9143, Acc.road: 0.9297, Acc.bed : 0.9598, Acc.windowpane: 0.8032, Acc.grass: 0.7551, Acc.cabinet: 0.7261, Acc.sidewalk: 0.8280, Acc.person: 0.9334, Acc.earth: 0.4933, Acc.door: 0.6798, Acc.table: 0.8533, Acc.mountain: 0.8306, Acc.plant: 0.6897, Acc.curtain: 0.8885, Acc.chair: 0.8045, Acc.car: 0.9279, Acc.water: 0.6343, Acc.painting: 0.9118, Acc.sofa: 0.8809, Acc.shelf: 0.5662, Acc.house: 0.6380, Acc.sea: 0.8937, Acc.mirror: 0.8111, Acc.rug: 0.8794, Acc.field: 0.6383, Acc.armchair: 0.6943, Acc.seat: 0.8498, Acc.fence: 0.7255, Acc.desk: 0.6885, Acc.rock: 0.7289, Acc.wardrobe: 0.6612, Acc.lamp: 0.8383, Acc.bathtub: 0.8595, Acc.railing: 0.5952, Acc.cushion: 0.7628, Acc.base: 0.5846, Acc.box: 0.4591, Acc.column: 0.7122, Acc.signboard: 0.5992, Acc.chest of drawers: 0.8071, Acc.counter: 0.4914, Acc.sand: 0.5091, Acc.sink: 0.8599, Acc.skyscraper: 0.4109, Acc.fireplace: 0.8789, Acc.refrigerator: 0.8466, Acc.grandstand: 0.7492, Acc.path: 0.2708, Acc.stairs: 0.3209, Acc.runway: 0.9778, Acc.case: 0.8592, Acc.pool table: 0.9751, Acc.pillow: 0.8057, Acc.screen door: 0.9208, Acc.stairway: 0.5410, Acc.river: 0.2838, Acc.bridge: 0.8618, Acc.bookcase: 0.6382, Acc.blind: 0.5212, Acc.coffee table: 0.7864, Acc.toilet: 0.9152, Acc.flower: 0.6311, Acc.book: 0.7391, Acc.hill: 0.1566, Acc.bench: 0.7251, Acc.countertop: 0.7288, Acc.stove: 0.8828, Acc.palm: 0.8478, Acc.kitchen island: 0.6743, Acc.computer: 0.8986, Acc.swivel chair: 0.7601, Acc.boat: 0.5878, Acc.bar: 0.6986, Acc.arcade machine: 0.8073, Acc.hovel: 0.4794, Acc.bus: 0.9759, Acc.towel: 0.9434, Acc.light: 0.8327, Acc.truck: 0.7121, Acc.tower: 0.8242, Acc.chandelier: 0.9023, Acc.awning: 0.5859, Acc.streetlight: 0.6505, Acc.booth: 0.4237, Acc.television receiver: 0.8818, Acc.airplane: 0.7319, Acc.dirt track: 0.4308, Acc.apparel: 0.6735, Acc.pole: 0.5244, Acc.land: 0.0027, Acc.bannister: 0.3065, Acc.escalator: 0.2772, Acc.ottoman: 0.8113, Acc.bottle: 0.7081, Acc.buffet: 0.5850, Acc.poster: 0.5067, Acc.stage: 0.4662, Acc.van: 0.7317, Acc.ship: 0.8731, Acc.fountain: 0.2182, Acc.conveyer belt: 0.9139, Acc.canopy: 0.7355, Acc.washer: 0.7579, Acc.plaything: 0.7309, Acc.swimming pool: 0.6998, Acc.stool: 0.6672, Acc.barrel: 0.9784, Acc.basket: 0.6531, Acc.waterfall: 0.4743, Acc.tent: 0.9816, Acc.bag: 0.4069, Acc.minibike: 0.9103, Acc.cradle: 0.9761, Acc.oven: 0.6906, Acc.ball: 0.5472, Acc.food: 0.6553, Acc.step: 0.4635, Acc.tank: 0.6598, Acc.trade name: 0.3120, Acc.microwave: 0.4421, Acc.pot: 0.7225, Acc.animal: 0.7091, Acc.bicycle: 0.8597, Acc.lake: 0.0000, Acc.dishwasher: 0.8416, Acc.screen: 0.8810, Acc.blanket: 0.4840, Acc.sculpture: 0.8941, Acc.hood: 0.7691, Acc.sconce: 0.8066, Acc.vase: 0.7949, Acc.traffic light: 0.7396, Acc.tray: 0.3389, Acc.ashcan: 0.7203, Acc.fan: 0.8469, Acc.pier: 0.1682, Acc.crt screen: 0.1454, Acc.plate: 0.8332, Acc.monitor: 0.0361, Acc.bulletin board: 0.7791, Acc.shower: 0.2600, Acc.radiator: 0.8952, Acc.glass: 0.2898, Acc.clock: 0.5994, Acc.flag: 0.5356 2023-11-22 05:26:03,799 - mmseg - INFO - Iter [50050/160000] lr: 6.545e-06, eta: 17:57:45, time: 0.953, data_time: 0.401, memory: 38143, decode.loss_cls: 0.3694, decode.loss_mask: 0.5908, decode.loss_dice: 0.8461, decode.d0.loss_cls: 1.4806, decode.d0.loss_mask: 0.6206, decode.d0.loss_dice: 0.9553, decode.d1.loss_cls: 0.4592, decode.d1.loss_mask: 0.6134, decode.d1.loss_dice: 0.8961, decode.d2.loss_cls: 0.4086, decode.d2.loss_mask: 0.6022, decode.d2.loss_dice: 0.8697, decode.d3.loss_cls: 0.3898, decode.d3.loss_mask: 0.5967, decode.d3.loss_dice: 0.8493, decode.d4.loss_cls: 0.3776, decode.d4.loss_mask: 0.5978, decode.d4.loss_dice: 0.8527, decode.d5.loss_cls: 0.3715, decode.d5.loss_mask: 0.5974, decode.d5.loss_dice: 0.8526, decode.d6.loss_cls: 0.3719, decode.d6.loss_mask: 0.5886, decode.d6.loss_dice: 0.8418, decode.d7.loss_cls: 0.3677, decode.d7.loss_mask: 0.5905, decode.d7.loss_dice: 0.8472, decode.d8.loss_cls: 0.3676, decode.d8.loss_mask: 0.5927, decode.d8.loss_dice: 0.8481, loss: 19.6138, grad_norm: 76.4163 2023-11-22 05:26:32,276 - mmseg - INFO - Iter [50100/160000] lr: 6.542e-06, eta: 17:57:14, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3859, decode.loss_mask: 0.5614, decode.loss_dice: 0.8244, decode.d0.loss_cls: 1.5647, decode.d0.loss_mask: 0.5961, decode.d0.loss_dice: 0.9582, decode.d1.loss_cls: 0.4763, decode.d1.loss_mask: 0.5891, decode.d1.loss_dice: 0.8918, decode.d2.loss_cls: 0.4200, decode.d2.loss_mask: 0.5764, decode.d2.loss_dice: 0.8604, decode.d3.loss_cls: 0.4010, decode.d3.loss_mask: 0.5671, decode.d3.loss_dice: 0.8384, decode.d4.loss_cls: 0.3881, decode.d4.loss_mask: 0.5635, decode.d4.loss_dice: 0.8387, decode.d5.loss_cls: 0.3931, decode.d5.loss_mask: 0.5638, decode.d5.loss_dice: 0.8394, decode.d6.loss_cls: 0.3895, decode.d6.loss_mask: 0.5613, decode.d6.loss_dice: 0.8293, decode.d7.loss_cls: 0.3914, decode.d7.loss_mask: 0.5591, decode.d7.loss_dice: 0.8269, decode.d8.loss_cls: 0.3925, decode.d8.loss_mask: 0.5585, decode.d8.loss_dice: 0.8259, loss: 19.4322, grad_norm: 73.0808 2023-11-22 05:27:00,644 - mmseg - INFO - Iter [50150/160000] lr: 6.539e-06, eta: 17:56:42, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4115, decode.loss_mask: 0.6108, decode.loss_dice: 0.8632, decode.d0.loss_cls: 1.5313, decode.d0.loss_mask: 0.6467, decode.d0.loss_dice: 0.9814, decode.d1.loss_cls: 0.5094, decode.d1.loss_mask: 0.6367, decode.d1.loss_dice: 0.9254, decode.d2.loss_cls: 0.4538, decode.d2.loss_mask: 0.6230, decode.d2.loss_dice: 0.8961, decode.d3.loss_cls: 0.4228, decode.d3.loss_mask: 0.6152, decode.d3.loss_dice: 0.8721, decode.d4.loss_cls: 0.4177, decode.d4.loss_mask: 0.6146, decode.d4.loss_dice: 0.8722, decode.d5.loss_cls: 0.4176, decode.d5.loss_mask: 0.6131, decode.d5.loss_dice: 0.8690, decode.d6.loss_cls: 0.4079, decode.d6.loss_mask: 0.6119, decode.d6.loss_dice: 0.8657, decode.d7.loss_cls: 0.4123, decode.d7.loss_mask: 0.6127, decode.d7.loss_dice: 0.8708, decode.d8.loss_cls: 0.4050, decode.d8.loss_mask: 0.6147, decode.d8.loss_dice: 0.8688, loss: 20.4735, grad_norm: 76.6557 2023-11-22 05:27:29,022 - mmseg - INFO - Iter [50200/160000] lr: 6.536e-06, eta: 17:56:10, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3927, decode.loss_mask: 0.5581, decode.loss_dice: 0.8344, decode.d0.loss_cls: 1.5802, decode.d0.loss_mask: 0.5977, decode.d0.loss_dice: 0.9610, decode.d1.loss_cls: 0.4956, decode.d1.loss_mask: 0.5832, decode.d1.loss_dice: 0.8832, decode.d2.loss_cls: 0.4351, decode.d2.loss_mask: 0.5696, decode.d2.loss_dice: 0.8609, decode.d3.loss_cls: 0.4206, decode.d3.loss_mask: 0.5611, decode.d3.loss_dice: 0.8349, decode.d4.loss_cls: 0.4150, decode.d4.loss_mask: 0.5588, decode.d4.loss_dice: 0.8350, decode.d5.loss_cls: 0.4048, decode.d5.loss_mask: 0.5604, decode.d5.loss_dice: 0.8350, decode.d6.loss_cls: 0.4010, decode.d6.loss_mask: 0.5600, decode.d6.loss_dice: 0.8312, decode.d7.loss_cls: 0.3980, decode.d7.loss_mask: 0.5607, decode.d7.loss_dice: 0.8313, decode.d8.loss_cls: 0.3939, decode.d8.loss_mask: 0.5597, decode.d8.loss_dice: 0.8297, loss: 19.5428, grad_norm: 73.3764 2023-11-22 05:27:57,255 - mmseg - INFO - Iter [50250/160000] lr: 6.534e-06, eta: 17:55:38, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3709, decode.loss_mask: 0.5487, decode.loss_dice: 0.8483, decode.d0.loss_cls: 1.5243, decode.d0.loss_mask: 0.5821, decode.d0.loss_dice: 0.9623, decode.d1.loss_cls: 0.4671, decode.d1.loss_mask: 0.5710, decode.d1.loss_dice: 0.9081, decode.d2.loss_cls: 0.4122, decode.d2.loss_mask: 0.5591, decode.d2.loss_dice: 0.8752, decode.d3.loss_cls: 0.3890, decode.d3.loss_mask: 0.5533, decode.d3.loss_dice: 0.8568, decode.d4.loss_cls: 0.3803, decode.d4.loss_mask: 0.5538, decode.d4.loss_dice: 0.8530, decode.d5.loss_cls: 0.3821, decode.d5.loss_mask: 0.5510, decode.d5.loss_dice: 0.8582, decode.d6.loss_cls: 0.3761, decode.d6.loss_mask: 0.5488, decode.d6.loss_dice: 0.8473, decode.d7.loss_cls: 0.3819, decode.d7.loss_mask: 0.5486, decode.d7.loss_dice: 0.8448, decode.d8.loss_cls: 0.3733, decode.d8.loss_mask: 0.5481, decode.d8.loss_dice: 0.8477, loss: 19.3235, grad_norm: 70.7204 2023-11-22 05:28:25,589 - mmseg - INFO - Iter [50300/160000] lr: 6.531e-06, eta: 17:55:07, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3772, decode.loss_mask: 0.5786, decode.loss_dice: 0.8585, decode.d0.loss_cls: 1.5425, decode.d0.loss_mask: 0.6289, decode.d0.loss_dice: 0.9934, decode.d1.loss_cls: 0.4810, decode.d1.loss_mask: 0.6014, decode.d1.loss_dice: 0.9138, decode.d2.loss_cls: 0.4147, decode.d2.loss_mask: 0.5921, decode.d2.loss_dice: 0.8844, decode.d3.loss_cls: 0.3990, decode.d3.loss_mask: 0.5872, decode.d3.loss_dice: 0.8643, decode.d4.loss_cls: 0.3878, decode.d4.loss_mask: 0.5838, decode.d4.loss_dice: 0.8660, decode.d5.loss_cls: 0.3810, decode.d5.loss_mask: 0.5854, decode.d5.loss_dice: 0.8702, decode.d6.loss_cls: 0.3773, decode.d6.loss_mask: 0.5846, decode.d6.loss_dice: 0.8691, decode.d7.loss_cls: 0.3783, decode.d7.loss_mask: 0.5851, decode.d7.loss_dice: 0.8652, decode.d8.loss_cls: 0.3715, decode.d8.loss_mask: 0.5822, decode.d8.loss_dice: 0.8669, loss: 19.8715, grad_norm: 72.9994 2023-11-22 05:28:54,339 - mmseg - INFO - Iter [50350/160000] lr: 6.528e-06, eta: 17:54:36, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3813, decode.loss_mask: 0.5825, decode.loss_dice: 0.8352, decode.d0.loss_cls: 1.5249, decode.d0.loss_mask: 0.6238, decode.d0.loss_dice: 0.9624, decode.d1.loss_cls: 0.4795, decode.d1.loss_mask: 0.6108, decode.d1.loss_dice: 0.8924, decode.d2.loss_cls: 0.4328, decode.d2.loss_mask: 0.5912, decode.d2.loss_dice: 0.8713, decode.d3.loss_cls: 0.4045, decode.d3.loss_mask: 0.5854, decode.d3.loss_dice: 0.8471, decode.d4.loss_cls: 0.3984, decode.d4.loss_mask: 0.5883, decode.d4.loss_dice: 0.8469, decode.d5.loss_cls: 0.3893, decode.d5.loss_mask: 0.5884, decode.d5.loss_dice: 0.8557, decode.d6.loss_cls: 0.3934, decode.d6.loss_mask: 0.5812, decode.d6.loss_dice: 0.8400, decode.d7.loss_cls: 0.3912, decode.d7.loss_mask: 0.5804, decode.d7.loss_dice: 0.8403, decode.d8.loss_cls: 0.3851, decode.d8.loss_mask: 0.5814, decode.d8.loss_dice: 0.8369, loss: 19.7219, grad_norm: 73.7968 2023-11-22 05:29:22,776 - mmseg - INFO - Iter [50400/160000] lr: 6.525e-06, eta: 17:54:04, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3982, decode.loss_mask: 0.5705, decode.loss_dice: 0.8599, decode.d0.loss_cls: 1.5765, decode.d0.loss_mask: 0.6032, decode.d0.loss_dice: 0.9840, decode.d1.loss_cls: 0.4995, decode.d1.loss_mask: 0.5960, decode.d1.loss_dice: 0.9259, decode.d2.loss_cls: 0.4435, decode.d2.loss_mask: 0.5838, decode.d2.loss_dice: 0.8936, decode.d3.loss_cls: 0.4119, decode.d3.loss_mask: 0.5735, decode.d3.loss_dice: 0.8771, decode.d4.loss_cls: 0.4106, decode.d4.loss_mask: 0.5742, decode.d4.loss_dice: 0.8716, decode.d5.loss_cls: 0.4013, decode.d5.loss_mask: 0.5724, decode.d5.loss_dice: 0.8675, decode.d6.loss_cls: 0.3996, decode.d6.loss_mask: 0.5739, decode.d6.loss_dice: 0.8623, decode.d7.loss_cls: 0.3976, decode.d7.loss_mask: 0.5730, decode.d7.loss_dice: 0.8621, decode.d8.loss_cls: 0.3975, decode.d8.loss_mask: 0.5741, decode.d8.loss_dice: 0.8643, loss: 19.9992, grad_norm: 75.0737 2023-11-22 05:29:51,281 - mmseg - INFO - Iter [50450/160000] lr: 6.522e-06, eta: 17:53:33, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4014, decode.loss_mask: 0.5642, decode.loss_dice: 0.8277, decode.d0.loss_cls: 1.5751, decode.d0.loss_mask: 0.6085, decode.d0.loss_dice: 0.9566, decode.d1.loss_cls: 0.5096, decode.d1.loss_mask: 0.5871, decode.d1.loss_dice: 0.8877, decode.d2.loss_cls: 0.4452, decode.d2.loss_mask: 0.5754, decode.d2.loss_dice: 0.8593, decode.d3.loss_cls: 0.4227, decode.d3.loss_mask: 0.5676, decode.d3.loss_dice: 0.8379, decode.d4.loss_cls: 0.4158, decode.d4.loss_mask: 0.5673, decode.d4.loss_dice: 0.8363, decode.d5.loss_cls: 0.4156, decode.d5.loss_mask: 0.5676, decode.d5.loss_dice: 0.8364, decode.d6.loss_cls: 0.4025, decode.d6.loss_mask: 0.5630, decode.d6.loss_dice: 0.8329, decode.d7.loss_cls: 0.4053, decode.d7.loss_mask: 0.5622, decode.d7.loss_dice: 0.8307, decode.d8.loss_cls: 0.4026, decode.d8.loss_mask: 0.5643, decode.d8.loss_dice: 0.8314, loss: 19.6602, grad_norm: 72.5008 2023-11-22 05:30:19,612 - mmseg - INFO - Iter [50500/160000] lr: 6.519e-06, eta: 17:53:01, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3952, decode.loss_mask: 0.5769, decode.loss_dice: 0.8598, decode.d0.loss_cls: 1.5616, decode.d0.loss_mask: 0.6157, decode.d0.loss_dice: 0.9872, decode.d1.loss_cls: 0.4923, decode.d1.loss_mask: 0.6060, decode.d1.loss_dice: 0.9199, decode.d2.loss_cls: 0.4421, decode.d2.loss_mask: 0.5882, decode.d2.loss_dice: 0.8910, decode.d3.loss_cls: 0.4185, decode.d3.loss_mask: 0.5791, decode.d3.loss_dice: 0.8752, decode.d4.loss_cls: 0.4103, decode.d4.loss_mask: 0.5795, decode.d4.loss_dice: 0.8745, decode.d5.loss_cls: 0.4083, decode.d5.loss_mask: 0.5774, decode.d5.loss_dice: 0.8676, decode.d6.loss_cls: 0.4041, decode.d6.loss_mask: 0.5774, decode.d6.loss_dice: 0.8605, decode.d7.loss_cls: 0.3994, decode.d7.loss_mask: 0.5781, decode.d7.loss_dice: 0.8567, decode.d8.loss_cls: 0.3992, decode.d8.loss_mask: 0.5788, decode.d8.loss_dice: 0.8599, loss: 20.0405, grad_norm: 76.1214 2023-11-22 05:30:50,225 - mmseg - INFO - Iter [50550/160000] lr: 6.516e-06, eta: 17:52:35, time: 0.612, data_time: 0.059, memory: 38143, decode.loss_cls: 0.3739, decode.loss_mask: 0.5592, decode.loss_dice: 0.8085, decode.d0.loss_cls: 1.5245, decode.d0.loss_mask: 0.5983, decode.d0.loss_dice: 0.9254, decode.d1.loss_cls: 0.4666, decode.d1.loss_mask: 0.5835, decode.d1.loss_dice: 0.8663, decode.d2.loss_cls: 0.4182, decode.d2.loss_mask: 0.5676, decode.d2.loss_dice: 0.8354, decode.d3.loss_cls: 0.3914, decode.d3.loss_mask: 0.5665, decode.d3.loss_dice: 0.8194, decode.d4.loss_cls: 0.3844, decode.d4.loss_mask: 0.5645, decode.d4.loss_dice: 0.8166, decode.d5.loss_cls: 0.3833, decode.d5.loss_mask: 0.5607, decode.d5.loss_dice: 0.8165, decode.d6.loss_cls: 0.3755, decode.d6.loss_mask: 0.5560, decode.d6.loss_dice: 0.8113, decode.d7.loss_cls: 0.3758, decode.d7.loss_mask: 0.5581, decode.d7.loss_dice: 0.8130, decode.d8.loss_cls: 0.3747, decode.d8.loss_mask: 0.5591, decode.d8.loss_dice: 0.8102, loss: 19.0643, grad_norm: 70.8652 2023-11-22 05:31:18,646 - mmseg - INFO - Iter [50600/160000] lr: 6.513e-06, eta: 17:52:03, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3534, decode.loss_mask: 0.5750, decode.loss_dice: 0.8381, decode.d0.loss_cls: 1.4927, decode.d0.loss_mask: 0.6198, decode.d0.loss_dice: 0.9544, decode.d1.loss_cls: 0.4470, decode.d1.loss_mask: 0.6002, decode.d1.loss_dice: 0.8859, decode.d2.loss_cls: 0.3938, decode.d2.loss_mask: 0.5856, decode.d2.loss_dice: 0.8615, decode.d3.loss_cls: 0.3707, decode.d3.loss_mask: 0.5792, decode.d3.loss_dice: 0.8452, decode.d4.loss_cls: 0.3656, decode.d4.loss_mask: 0.5759, decode.d4.loss_dice: 0.8418, decode.d5.loss_cls: 0.3595, decode.d5.loss_mask: 0.5793, decode.d5.loss_dice: 0.8439, decode.d6.loss_cls: 0.3594, decode.d6.loss_mask: 0.5789, decode.d6.loss_dice: 0.8341, decode.d7.loss_cls: 0.3574, decode.d7.loss_mask: 0.5774, decode.d7.loss_dice: 0.8327, decode.d8.loss_cls: 0.3550, decode.d8.loss_mask: 0.5747, decode.d8.loss_dice: 0.8337, loss: 19.2716, grad_norm: 70.4620 2023-11-22 05:31:47,327 - mmseg - INFO - Iter [50650/160000] lr: 6.510e-06, eta: 17:51:32, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3711, decode.loss_mask: 0.5631, decode.loss_dice: 0.8335, decode.d0.loss_cls: 1.5466, decode.d0.loss_mask: 0.5948, decode.d0.loss_dice: 0.9609, decode.d1.loss_cls: 0.4781, decode.d1.loss_mask: 0.5830, decode.d1.loss_dice: 0.8847, decode.d2.loss_cls: 0.4199, decode.d2.loss_mask: 0.5714, decode.d2.loss_dice: 0.8567, decode.d3.loss_cls: 0.3953, decode.d3.loss_mask: 0.5626, decode.d3.loss_dice: 0.8438, decode.d4.loss_cls: 0.3896, decode.d4.loss_mask: 0.5630, decode.d4.loss_dice: 0.8405, decode.d5.loss_cls: 0.3796, decode.d5.loss_mask: 0.5623, decode.d5.loss_dice: 0.8394, decode.d6.loss_cls: 0.3741, decode.d6.loss_mask: 0.5631, decode.d6.loss_dice: 0.8358, decode.d7.loss_cls: 0.3744, decode.d7.loss_mask: 0.5616, decode.d7.loss_dice: 0.8337, decode.d8.loss_cls: 0.3726, decode.d8.loss_mask: 0.5607, decode.d8.loss_dice: 0.8338, loss: 19.3498, grad_norm: 73.5476 2023-11-22 05:32:15,607 - mmseg - INFO - Iter [50700/160000] lr: 6.507e-06, eta: 17:51:00, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.4084, decode.loss_mask: 0.5740, decode.loss_dice: 0.8616, decode.d0.loss_cls: 1.6010, decode.d0.loss_mask: 0.6104, decode.d0.loss_dice: 0.9975, decode.d1.loss_cls: 0.5209, decode.d1.loss_mask: 0.6001, decode.d1.loss_dice: 0.9257, decode.d2.loss_cls: 0.4524, decode.d2.loss_mask: 0.5897, decode.d2.loss_dice: 0.8938, decode.d3.loss_cls: 0.4336, decode.d3.loss_mask: 0.5800, decode.d3.loss_dice: 0.8766, decode.d4.loss_cls: 0.4217, decode.d4.loss_mask: 0.5810, decode.d4.loss_dice: 0.8724, decode.d5.loss_cls: 0.4111, decode.d5.loss_mask: 0.5801, decode.d5.loss_dice: 0.8764, decode.d6.loss_cls: 0.4203, decode.d6.loss_mask: 0.5734, decode.d6.loss_dice: 0.8646, decode.d7.loss_cls: 0.4165, decode.d7.loss_mask: 0.5771, decode.d7.loss_dice: 0.8648, decode.d8.loss_cls: 0.4105, decode.d8.loss_mask: 0.5749, decode.d8.loss_dice: 0.8689, loss: 20.2394, grad_norm: 73.4193 2023-11-22 05:32:43,932 - mmseg - INFO - Iter [50750/160000] lr: 6.504e-06, eta: 17:50:29, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3840, decode.loss_mask: 0.5870, decode.loss_dice: 0.8390, decode.d0.loss_cls: 1.5364, decode.d0.loss_mask: 0.6169, decode.d0.loss_dice: 0.9703, decode.d1.loss_cls: 0.4861, decode.d1.loss_mask: 0.6025, decode.d1.loss_dice: 0.8979, decode.d2.loss_cls: 0.4251, decode.d2.loss_mask: 0.5923, decode.d2.loss_dice: 0.8721, decode.d3.loss_cls: 0.4012, decode.d3.loss_mask: 0.5874, decode.d3.loss_dice: 0.8495, decode.d4.loss_cls: 0.3895, decode.d4.loss_mask: 0.5879, decode.d4.loss_dice: 0.8505, decode.d5.loss_cls: 0.3923, decode.d5.loss_mask: 0.5901, decode.d5.loss_dice: 0.8480, decode.d6.loss_cls: 0.3847, decode.d6.loss_mask: 0.5859, decode.d6.loss_dice: 0.8376, decode.d7.loss_cls: 0.3855, decode.d7.loss_mask: 0.5829, decode.d7.loss_dice: 0.8370, decode.d8.loss_cls: 0.3909, decode.d8.loss_mask: 0.5808, decode.d8.loss_dice: 0.8386, loss: 19.7300, grad_norm: 72.2761 2023-11-22 05:33:12,500 - mmseg - INFO - Iter [50800/160000] lr: 6.501e-06, eta: 17:49:57, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3772, decode.loss_mask: 0.5511, decode.loss_dice: 0.8332, decode.d0.loss_cls: 1.5438, decode.d0.loss_mask: 0.5988, decode.d0.loss_dice: 0.9503, decode.d1.loss_cls: 0.4798, decode.d1.loss_mask: 0.5707, decode.d1.loss_dice: 0.8938, decode.d2.loss_cls: 0.4162, decode.d2.loss_mask: 0.5583, decode.d2.loss_dice: 0.8630, decode.d3.loss_cls: 0.3951, decode.d3.loss_mask: 0.5544, decode.d3.loss_dice: 0.8444, decode.d4.loss_cls: 0.3896, decode.d4.loss_mask: 0.5561, decode.d4.loss_dice: 0.8433, decode.d5.loss_cls: 0.3857, decode.d5.loss_mask: 0.5540, decode.d5.loss_dice: 0.8411, decode.d6.loss_cls: 0.3839, decode.d6.loss_mask: 0.5503, decode.d6.loss_dice: 0.8336, decode.d7.loss_cls: 0.3802, decode.d7.loss_mask: 0.5529, decode.d7.loss_dice: 0.8329, decode.d8.loss_cls: 0.3788, decode.d8.loss_mask: 0.5540, decode.d8.loss_dice: 0.8375, loss: 19.3040, grad_norm: 74.0697 2023-11-22 05:33:40,784 - mmseg - INFO - Iter [50850/160000] lr: 6.498e-06, eta: 17:49:26, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4063, decode.loss_mask: 0.5568, decode.loss_dice: 0.8458, decode.d0.loss_cls: 1.5892, decode.d0.loss_mask: 0.5898, decode.d0.loss_dice: 0.9674, decode.d1.loss_cls: 0.5013, decode.d1.loss_mask: 0.5857, decode.d1.loss_dice: 0.8936, decode.d2.loss_cls: 0.4409, decode.d2.loss_mask: 0.5714, decode.d2.loss_dice: 0.8724, decode.d3.loss_cls: 0.4204, decode.d3.loss_mask: 0.5610, decode.d3.loss_dice: 0.8488, decode.d4.loss_cls: 0.4071, decode.d4.loss_mask: 0.5638, decode.d4.loss_dice: 0.8529, decode.d5.loss_cls: 0.4057, decode.d5.loss_mask: 0.5607, decode.d5.loss_dice: 0.8518, decode.d6.loss_cls: 0.4081, decode.d6.loss_mask: 0.5608, decode.d6.loss_dice: 0.8470, decode.d7.loss_cls: 0.4050, decode.d7.loss_mask: 0.5570, decode.d7.loss_dice: 0.8440, decode.d8.loss_cls: 0.4036, decode.d8.loss_mask: 0.5599, decode.d8.loss_dice: 0.8490, loss: 19.7270, grad_norm: 67.9002 2023-11-22 05:34:09,511 - mmseg - INFO - Iter [50900/160000] lr: 6.495e-06, eta: 17:48:55, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3831, decode.loss_mask: 0.5528, decode.loss_dice: 0.8299, decode.d0.loss_cls: 1.6306, decode.d0.loss_mask: 0.5857, decode.d0.loss_dice: 0.9637, decode.d1.loss_cls: 0.4987, decode.d1.loss_mask: 0.5778, decode.d1.loss_dice: 0.8885, decode.d2.loss_cls: 0.4330, decode.d2.loss_mask: 0.5620, decode.d2.loss_dice: 0.8545, decode.d3.loss_cls: 0.4069, decode.d3.loss_mask: 0.5550, decode.d3.loss_dice: 0.8397, decode.d4.loss_cls: 0.3929, decode.d4.loss_mask: 0.5555, decode.d4.loss_dice: 0.8415, decode.d5.loss_cls: 0.3881, decode.d5.loss_mask: 0.5539, decode.d5.loss_dice: 0.8370, decode.d6.loss_cls: 0.3888, decode.d6.loss_mask: 0.5520, decode.d6.loss_dice: 0.8277, decode.d7.loss_cls: 0.3865, decode.d7.loss_mask: 0.5524, decode.d7.loss_dice: 0.8340, decode.d8.loss_cls: 0.3885, decode.d8.loss_mask: 0.5508, decode.d8.loss_dice: 0.8329, loss: 19.4447, grad_norm: 71.0323 2023-11-22 05:34:38,031 - mmseg - INFO - Iter [50950/160000] lr: 6.492e-06, eta: 17:48:24, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3859, decode.loss_mask: 0.5775, decode.loss_dice: 0.8390, decode.d0.loss_cls: 1.5194, decode.d0.loss_mask: 0.6152, decode.d0.loss_dice: 0.9728, decode.d1.loss_cls: 0.4799, decode.d1.loss_mask: 0.6048, decode.d1.loss_dice: 0.9020, decode.d2.loss_cls: 0.4274, decode.d2.loss_mask: 0.5899, decode.d2.loss_dice: 0.8636, decode.d3.loss_cls: 0.4057, decode.d3.loss_mask: 0.5826, decode.d3.loss_dice: 0.8453, decode.d4.loss_cls: 0.4026, decode.d4.loss_mask: 0.5818, decode.d4.loss_dice: 0.8429, decode.d5.loss_cls: 0.3941, decode.d5.loss_mask: 0.5797, decode.d5.loss_dice: 0.8438, decode.d6.loss_cls: 0.3912, decode.d6.loss_mask: 0.5772, decode.d6.loss_dice: 0.8403, decode.d7.loss_cls: 0.3889, decode.d7.loss_mask: 0.5785, decode.d7.loss_dice: 0.8407, decode.d8.loss_cls: 0.3875, decode.d8.loss_mask: 0.5776, decode.d8.loss_dice: 0.8432, loss: 19.6810, grad_norm: 74.6986 2023-11-22 05:35:06,235 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 05:35:06,235 - mmseg - INFO - Iter [51000/160000] lr: 6.489e-06, eta: 17:47:52, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3770, decode.loss_mask: 0.5603, decode.loss_dice: 0.8385, decode.d0.loss_cls: 1.5293, decode.d0.loss_mask: 0.5934, decode.d0.loss_dice: 0.9546, decode.d1.loss_cls: 0.4693, decode.d1.loss_mask: 0.5834, decode.d1.loss_dice: 0.8944, decode.d2.loss_cls: 0.4149, decode.d2.loss_mask: 0.5682, decode.d2.loss_dice: 0.8626, decode.d3.loss_cls: 0.3926, decode.d3.loss_mask: 0.5651, decode.d3.loss_dice: 0.8418, decode.d4.loss_cls: 0.3908, decode.d4.loss_mask: 0.5615, decode.d4.loss_dice: 0.8434, decode.d5.loss_cls: 0.3801, decode.d5.loss_mask: 0.5613, decode.d5.loss_dice: 0.8445, decode.d6.loss_cls: 0.3789, decode.d6.loss_mask: 0.5627, decode.d6.loss_dice: 0.8352, decode.d7.loss_cls: 0.3734, decode.d7.loss_mask: 0.5623, decode.d7.loss_dice: 0.8366, decode.d8.loss_cls: 0.3715, decode.d8.loss_mask: 0.5642, decode.d8.loss_dice: 0.8386, loss: 19.3503, grad_norm: 75.8361 2023-11-22 05:35:34,496 - mmseg - INFO - Iter [51050/160000] lr: 6.486e-06, eta: 17:47:20, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3691, decode.loss_mask: 0.5621, decode.loss_dice: 0.8270, decode.d0.loss_cls: 1.5107, decode.d0.loss_mask: 0.6056, decode.d0.loss_dice: 0.9581, decode.d1.loss_cls: 0.4685, decode.d1.loss_mask: 0.5863, decode.d1.loss_dice: 0.8806, decode.d2.loss_cls: 0.4041, decode.d2.loss_mask: 0.5739, decode.d2.loss_dice: 0.8595, decode.d3.loss_cls: 0.3823, decode.d3.loss_mask: 0.5724, decode.d3.loss_dice: 0.8412, decode.d4.loss_cls: 0.3756, decode.d4.loss_mask: 0.5691, decode.d4.loss_dice: 0.8390, decode.d5.loss_cls: 0.3740, decode.d5.loss_mask: 0.5649, decode.d5.loss_dice: 0.8339, decode.d6.loss_cls: 0.3729, decode.d6.loss_mask: 0.5627, decode.d6.loss_dice: 0.8324, decode.d7.loss_cls: 0.3631, decode.d7.loss_mask: 0.5636, decode.d7.loss_dice: 0.8313, decode.d8.loss_cls: 0.3681, decode.d8.loss_mask: 0.5644, decode.d8.loss_dice: 0.8329, loss: 19.2492, grad_norm: 72.0269 2023-11-22 05:36:02,958 - mmseg - INFO - Iter [51100/160000] lr: 6.483e-06, eta: 17:46:48, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3761, decode.loss_mask: 0.5781, decode.loss_dice: 0.8544, decode.d0.loss_cls: 1.5564, decode.d0.loss_mask: 0.6183, decode.d0.loss_dice: 0.9632, decode.d1.loss_cls: 0.4820, decode.d1.loss_mask: 0.6041, decode.d1.loss_dice: 0.9140, decode.d2.loss_cls: 0.4151, decode.d2.loss_mask: 0.5953, decode.d2.loss_dice: 0.8881, decode.d3.loss_cls: 0.3969, decode.d3.loss_mask: 0.5883, decode.d3.loss_dice: 0.8702, decode.d4.loss_cls: 0.3901, decode.d4.loss_mask: 0.5878, decode.d4.loss_dice: 0.8697, decode.d5.loss_cls: 0.3851, decode.d5.loss_mask: 0.5862, decode.d5.loss_dice: 0.8609, decode.d6.loss_cls: 0.3791, decode.d6.loss_mask: 0.5832, decode.d6.loss_dice: 0.8578, decode.d7.loss_cls: 0.3762, decode.d7.loss_mask: 0.5798, decode.d7.loss_dice: 0.8565, decode.d8.loss_cls: 0.3789, decode.d8.loss_mask: 0.5793, decode.d8.loss_dice: 0.8573, loss: 19.8284, grad_norm: 71.9139 2023-11-22 05:36:31,206 - mmseg - INFO - Iter [51150/160000] lr: 6.480e-06, eta: 17:46:17, time: 0.565, data_time: 0.015, memory: 38143, decode.loss_cls: 0.4019, decode.loss_mask: 0.5793, decode.loss_dice: 0.8718, decode.d0.loss_cls: 1.5607, decode.d0.loss_mask: 0.6129, decode.d0.loss_dice: 0.9838, decode.d1.loss_cls: 0.5034, decode.d1.loss_mask: 0.6028, decode.d1.loss_dice: 0.9297, decode.d2.loss_cls: 0.4365, decode.d2.loss_mask: 0.5926, decode.d2.loss_dice: 0.8971, decode.d3.loss_cls: 0.4226, decode.d3.loss_mask: 0.5857, decode.d3.loss_dice: 0.8716, decode.d4.loss_cls: 0.4110, decode.d4.loss_mask: 0.5808, decode.d4.loss_dice: 0.8767, decode.d5.loss_cls: 0.4091, decode.d5.loss_mask: 0.5795, decode.d5.loss_dice: 0.8727, decode.d6.loss_cls: 0.4065, decode.d6.loss_mask: 0.5771, decode.d6.loss_dice: 0.8718, decode.d7.loss_cls: 0.4011, decode.d7.loss_mask: 0.5806, decode.d7.loss_dice: 0.8743, decode.d8.loss_cls: 0.3995, decode.d8.loss_mask: 0.5826, decode.d8.loss_dice: 0.8751, loss: 20.1510, grad_norm: 77.1480 2023-11-22 05:36:59,494 - mmseg - INFO - Iter [51200/160000] lr: 6.477e-06, eta: 17:45:45, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3817, decode.loss_mask: 0.6105, decode.loss_dice: 0.8725, decode.d0.loss_cls: 1.5457, decode.d0.loss_mask: 0.6474, decode.d0.loss_dice: 0.9924, decode.d1.loss_cls: 0.4793, decode.d1.loss_mask: 0.6326, decode.d1.loss_dice: 0.9271, decode.d2.loss_cls: 0.4232, decode.d2.loss_mask: 0.6146, decode.d2.loss_dice: 0.8972, decode.d3.loss_cls: 0.3977, decode.d3.loss_mask: 0.6119, decode.d3.loss_dice: 0.8861, decode.d4.loss_cls: 0.3903, decode.d4.loss_mask: 0.6144, decode.d4.loss_dice: 0.8851, decode.d5.loss_cls: 0.3810, decode.d5.loss_mask: 0.6134, decode.d5.loss_dice: 0.8826, decode.d6.loss_cls: 0.3826, decode.d6.loss_mask: 0.6137, decode.d6.loss_dice: 0.8774, decode.d7.loss_cls: 0.3812, decode.d7.loss_mask: 0.6118, decode.d7.loss_dice: 0.8746, decode.d8.loss_cls: 0.3718, decode.d8.loss_mask: 0.6137, decode.d8.loss_dice: 0.8767, loss: 20.2901, grad_norm: 76.3219 2023-11-22 05:37:28,270 - mmseg - INFO - Iter [51250/160000] lr: 6.474e-06, eta: 17:45:14, time: 0.576, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3957, decode.loss_mask: 0.5801, decode.loss_dice: 0.8520, decode.d0.loss_cls: 1.5622, decode.d0.loss_mask: 0.6268, decode.d0.loss_dice: 0.9829, decode.d1.loss_cls: 0.4966, decode.d1.loss_mask: 0.6040, decode.d1.loss_dice: 0.9131, decode.d2.loss_cls: 0.4353, decode.d2.loss_mask: 0.5914, decode.d2.loss_dice: 0.8844, decode.d3.loss_cls: 0.4101, decode.d3.loss_mask: 0.5904, decode.d3.loss_dice: 0.8587, decode.d4.loss_cls: 0.4030, decode.d4.loss_mask: 0.5866, decode.d4.loss_dice: 0.8606, decode.d5.loss_cls: 0.3975, decode.d5.loss_mask: 0.5872, decode.d5.loss_dice: 0.8569, decode.d6.loss_cls: 0.3983, decode.d6.loss_mask: 0.5845, decode.d6.loss_dice: 0.8524, decode.d7.loss_cls: 0.3920, decode.d7.loss_mask: 0.5840, decode.d7.loss_dice: 0.8543, decode.d8.loss_cls: 0.3949, decode.d8.loss_mask: 0.5825, decode.d8.loss_dice: 0.8540, loss: 19.9723, grad_norm: 75.5785 2023-11-22 05:37:56,655 - mmseg - INFO - Iter [51300/160000] lr: 6.471e-06, eta: 17:44:43, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3930, decode.loss_mask: 0.5679, decode.loss_dice: 0.8566, decode.d0.loss_cls: 1.5455, decode.d0.loss_mask: 0.6038, decode.d0.loss_dice: 0.9753, decode.d1.loss_cls: 0.4822, decode.d1.loss_mask: 0.5945, decode.d1.loss_dice: 0.9065, decode.d2.loss_cls: 0.4287, decode.d2.loss_mask: 0.5766, decode.d2.loss_dice: 0.8829, decode.d3.loss_cls: 0.4034, decode.d3.loss_mask: 0.5727, decode.d3.loss_dice: 0.8589, decode.d4.loss_cls: 0.3930, decode.d4.loss_mask: 0.5754, decode.d4.loss_dice: 0.8608, decode.d5.loss_cls: 0.4021, decode.d5.loss_mask: 0.5717, decode.d5.loss_dice: 0.8552, decode.d6.loss_cls: 0.3987, decode.d6.loss_mask: 0.5687, decode.d6.loss_dice: 0.8523, decode.d7.loss_cls: 0.3956, decode.d7.loss_mask: 0.5690, decode.d7.loss_dice: 0.8540, decode.d8.loss_cls: 0.3939, decode.d8.loss_mask: 0.5677, decode.d8.loss_dice: 0.8543, loss: 19.7608, grad_norm: 73.4116 2023-11-22 05:38:24,939 - mmseg - INFO - Iter [51350/160000] lr: 6.468e-06, eta: 17:44:11, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3884, decode.loss_mask: 0.5765, decode.loss_dice: 0.8590, decode.d0.loss_cls: 1.5366, decode.d0.loss_mask: 0.6099, decode.d0.loss_dice: 0.9874, decode.d1.loss_cls: 0.4877, decode.d1.loss_mask: 0.5987, decode.d1.loss_dice: 0.9164, decode.d2.loss_cls: 0.4317, decode.d2.loss_mask: 0.5848, decode.d2.loss_dice: 0.8871, decode.d3.loss_cls: 0.4059, decode.d3.loss_mask: 0.5764, decode.d3.loss_dice: 0.8635, decode.d4.loss_cls: 0.3998, decode.d4.loss_mask: 0.5771, decode.d4.loss_dice: 0.8647, decode.d5.loss_cls: 0.3955, decode.d5.loss_mask: 0.5786, decode.d5.loss_dice: 0.8610, decode.d6.loss_cls: 0.3942, decode.d6.loss_mask: 0.5763, decode.d6.loss_dice: 0.8565, decode.d7.loss_cls: 0.3943, decode.d7.loss_mask: 0.5743, decode.d7.loss_dice: 0.8565, decode.d8.loss_cls: 0.3955, decode.d8.loss_mask: 0.5769, decode.d8.loss_dice: 0.8596, loss: 19.8709, grad_norm: 73.4162 2023-11-22 05:38:53,258 - mmseg - INFO - Iter [51400/160000] lr: 6.465e-06, eta: 17:43:39, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3647, decode.loss_mask: 0.5816, decode.loss_dice: 0.8445, decode.d0.loss_cls: 1.5109, decode.d0.loss_mask: 0.6152, decode.d0.loss_dice: 0.9649, decode.d1.loss_cls: 0.4722, decode.d1.loss_mask: 0.6078, decode.d1.loss_dice: 0.9009, decode.d2.loss_cls: 0.4180, decode.d2.loss_mask: 0.5915, decode.d2.loss_dice: 0.8652, decode.d3.loss_cls: 0.3880, decode.d3.loss_mask: 0.5870, decode.d3.loss_dice: 0.8509, decode.d4.loss_cls: 0.3810, decode.d4.loss_mask: 0.5856, decode.d4.loss_dice: 0.8467, decode.d5.loss_cls: 0.3709, decode.d5.loss_mask: 0.5839, decode.d5.loss_dice: 0.8463, decode.d6.loss_cls: 0.3672, decode.d6.loss_mask: 0.5838, decode.d6.loss_dice: 0.8415, decode.d7.loss_cls: 0.3693, decode.d7.loss_mask: 0.5820, decode.d7.loss_dice: 0.8440, decode.d8.loss_cls: 0.3617, decode.d8.loss_mask: 0.5850, decode.d8.loss_dice: 0.8451, loss: 19.5572, grad_norm: 73.2176 2023-11-22 05:39:21,691 - mmseg - INFO - Iter [51450/160000] lr: 6.462e-06, eta: 17:43:08, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3853, decode.loss_mask: 0.5714, decode.loss_dice: 0.8545, decode.d0.loss_cls: 1.5576, decode.d0.loss_mask: 0.6152, decode.d0.loss_dice: 0.9898, decode.d1.loss_cls: 0.4913, decode.d1.loss_mask: 0.6001, decode.d1.loss_dice: 0.9189, decode.d2.loss_cls: 0.4314, decode.d2.loss_mask: 0.5815, decode.d2.loss_dice: 0.8842, decode.d3.loss_cls: 0.4052, decode.d3.loss_mask: 0.5737, decode.d3.loss_dice: 0.8636, decode.d4.loss_cls: 0.3994, decode.d4.loss_mask: 0.5740, decode.d4.loss_dice: 0.8663, decode.d5.loss_cls: 0.3897, decode.d5.loss_mask: 0.5724, decode.d5.loss_dice: 0.8679, decode.d6.loss_cls: 0.3916, decode.d6.loss_mask: 0.5675, decode.d6.loss_dice: 0.8583, decode.d7.loss_cls: 0.3812, decode.d7.loss_mask: 0.5735, decode.d7.loss_dice: 0.8598, decode.d8.loss_cls: 0.3804, decode.d8.loss_mask: 0.5735, decode.d8.loss_dice: 0.8639, loss: 19.8431, grad_norm: 70.6783 2023-11-22 05:39:49,859 - mmseg - INFO - Iter [51500/160000] lr: 6.459e-06, eta: 17:42:36, time: 0.563, data_time: 0.012, memory: 38143, decode.loss_cls: 0.3621, decode.loss_mask: 0.5748, decode.loss_dice: 0.8203, decode.d0.loss_cls: 1.5016, decode.d0.loss_mask: 0.6055, decode.d0.loss_dice: 0.9315, decode.d1.loss_cls: 0.4617, decode.d1.loss_mask: 0.5955, decode.d1.loss_dice: 0.8700, decode.d2.loss_cls: 0.4040, decode.d2.loss_mask: 0.5784, decode.d2.loss_dice: 0.8446, decode.d3.loss_cls: 0.3868, decode.d3.loss_mask: 0.5779, decode.d3.loss_dice: 0.8233, decode.d4.loss_cls: 0.3753, decode.d4.loss_mask: 0.5738, decode.d4.loss_dice: 0.8227, decode.d5.loss_cls: 0.3665, decode.d5.loss_mask: 0.5752, decode.d5.loss_dice: 0.8225, decode.d6.loss_cls: 0.3627, decode.d6.loss_mask: 0.5750, decode.d6.loss_dice: 0.8188, decode.d7.loss_cls: 0.3597, decode.d7.loss_mask: 0.5768, decode.d7.loss_dice: 0.8229, decode.d8.loss_cls: 0.3594, decode.d8.loss_mask: 0.5715, decode.d8.loss_dice: 0.8219, loss: 19.1428, grad_norm: 75.1276 2023-11-22 05:40:18,352 - mmseg - INFO - Iter [51550/160000] lr: 6.456e-06, eta: 17:42:05, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3931, decode.loss_mask: 0.5799, decode.loss_dice: 0.8425, decode.d0.loss_cls: 1.5300, decode.d0.loss_mask: 0.6186, decode.d0.loss_dice: 0.9684, decode.d1.loss_cls: 0.4930, decode.d1.loss_mask: 0.6003, decode.d1.loss_dice: 0.9070, decode.d2.loss_cls: 0.4378, decode.d2.loss_mask: 0.5914, decode.d2.loss_dice: 0.8734, decode.d3.loss_cls: 0.4155, decode.d3.loss_mask: 0.5780, decode.d3.loss_dice: 0.8510, decode.d4.loss_cls: 0.4028, decode.d4.loss_mask: 0.5766, decode.d4.loss_dice: 0.8496, decode.d5.loss_cls: 0.4013, decode.d5.loss_mask: 0.5788, decode.d5.loss_dice: 0.8464, decode.d6.loss_cls: 0.3965, decode.d6.loss_mask: 0.5787, decode.d6.loss_dice: 0.8456, decode.d7.loss_cls: 0.3891, decode.d7.loss_mask: 0.5792, decode.d7.loss_dice: 0.8441, decode.d8.loss_cls: 0.3944, decode.d8.loss_mask: 0.5800, decode.d8.loss_dice: 0.8435, loss: 19.7865, grad_norm: 75.2091 2023-11-22 05:40:46,565 - mmseg - INFO - Iter [51600/160000] lr: 6.453e-06, eta: 17:41:33, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3722, decode.loss_mask: 0.5569, decode.loss_dice: 0.8244, decode.d0.loss_cls: 1.5266, decode.d0.loss_mask: 0.5990, decode.d0.loss_dice: 0.9432, decode.d1.loss_cls: 0.4749, decode.d1.loss_mask: 0.5844, decode.d1.loss_dice: 0.8806, decode.d2.loss_cls: 0.4178, decode.d2.loss_mask: 0.5712, decode.d2.loss_dice: 0.8491, decode.d3.loss_cls: 0.3991, decode.d3.loss_mask: 0.5630, decode.d3.loss_dice: 0.8282, decode.d4.loss_cls: 0.3890, decode.d4.loss_mask: 0.5591, decode.d4.loss_dice: 0.8313, decode.d5.loss_cls: 0.3886, decode.d5.loss_mask: 0.5574, decode.d5.loss_dice: 0.8280, decode.d6.loss_cls: 0.3817, decode.d6.loss_mask: 0.5599, decode.d6.loss_dice: 0.8251, decode.d7.loss_cls: 0.3801, decode.d7.loss_mask: 0.5581, decode.d7.loss_dice: 0.8259, decode.d8.loss_cls: 0.3769, decode.d8.loss_mask: 0.5602, decode.d8.loss_dice: 0.8234, loss: 19.2356, grad_norm: 70.4943 2023-11-22 05:41:14,849 - mmseg - INFO - Iter [51650/160000] lr: 6.450e-06, eta: 17:41:01, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3773, decode.loss_mask: 0.5950, decode.loss_dice: 0.8734, decode.d0.loss_cls: 1.5490, decode.d0.loss_mask: 0.6283, decode.d0.loss_dice: 0.9949, decode.d1.loss_cls: 0.4642, decode.d1.loss_mask: 0.6238, decode.d1.loss_dice: 0.9358, decode.d2.loss_cls: 0.4081, decode.d2.loss_mask: 0.6040, decode.d2.loss_dice: 0.9056, decode.d3.loss_cls: 0.3885, decode.d3.loss_mask: 0.5984, decode.d3.loss_dice: 0.8867, decode.d4.loss_cls: 0.3879, decode.d4.loss_mask: 0.5995, decode.d4.loss_dice: 0.8884, decode.d5.loss_cls: 0.3776, decode.d5.loss_mask: 0.5964, decode.d5.loss_dice: 0.8842, decode.d6.loss_cls: 0.3743, decode.d6.loss_mask: 0.5976, decode.d6.loss_dice: 0.8751, decode.d7.loss_cls: 0.3700, decode.d7.loss_mask: 0.5953, decode.d7.loss_dice: 0.8780, decode.d8.loss_cls: 0.3697, decode.d8.loss_mask: 0.5966, decode.d8.loss_dice: 0.8774, loss: 20.1009, grad_norm: 75.8612 2023-11-22 05:41:43,039 - mmseg - INFO - Iter [51700/160000] lr: 6.447e-06, eta: 17:40:29, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3731, decode.loss_mask: 0.5842, decode.loss_dice: 0.8376, decode.d0.loss_cls: 1.5040, decode.d0.loss_mask: 0.6219, decode.d0.loss_dice: 0.9541, decode.d1.loss_cls: 0.4682, decode.d1.loss_mask: 0.6052, decode.d1.loss_dice: 0.8944, decode.d2.loss_cls: 0.4107, decode.d2.loss_mask: 0.5944, decode.d2.loss_dice: 0.8700, decode.d3.loss_cls: 0.3900, decode.d3.loss_mask: 0.5893, decode.d3.loss_dice: 0.8485, decode.d4.loss_cls: 0.3814, decode.d4.loss_mask: 0.5843, decode.d4.loss_dice: 0.8477, decode.d5.loss_cls: 0.3804, decode.d5.loss_mask: 0.5845, decode.d5.loss_dice: 0.8440, decode.d6.loss_cls: 0.3734, decode.d6.loss_mask: 0.5838, decode.d6.loss_dice: 0.8377, decode.d7.loss_cls: 0.3704, decode.d7.loss_mask: 0.5851, decode.d7.loss_dice: 0.8392, decode.d8.loss_cls: 0.3745, decode.d8.loss_mask: 0.5863, decode.d8.loss_dice: 0.8428, loss: 19.5612, grad_norm: 74.5917 2023-11-22 05:42:11,277 - mmseg - INFO - Iter [51750/160000] lr: 6.444e-06, eta: 17:39:58, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3876, decode.loss_mask: 0.5669, decode.loss_dice: 0.8459, decode.d0.loss_cls: 1.4987, decode.d0.loss_mask: 0.6062, decode.d0.loss_dice: 0.9803, decode.d1.loss_cls: 0.4833, decode.d1.loss_mask: 0.5911, decode.d1.loss_dice: 0.9049, decode.d2.loss_cls: 0.4301, decode.d2.loss_mask: 0.5796, decode.d2.loss_dice: 0.8761, decode.d3.loss_cls: 0.4041, decode.d3.loss_mask: 0.5740, decode.d3.loss_dice: 0.8615, decode.d4.loss_cls: 0.3981, decode.d4.loss_mask: 0.5680, decode.d4.loss_dice: 0.8576, decode.d5.loss_cls: 0.4011, decode.d5.loss_mask: 0.5674, decode.d5.loss_dice: 0.8526, decode.d6.loss_cls: 0.3866, decode.d6.loss_mask: 0.5691, decode.d6.loss_dice: 0.8560, decode.d7.loss_cls: 0.3924, decode.d7.loss_mask: 0.5658, decode.d7.loss_dice: 0.8487, decode.d8.loss_cls: 0.3886, decode.d8.loss_mask: 0.5681, decode.d8.loss_dice: 0.8526, loss: 19.6630, grad_norm: 73.6114 2023-11-22 05:42:41,873 - mmseg - INFO - Iter [51800/160000] lr: 6.441e-06, eta: 17:39:31, time: 0.612, data_time: 0.058, memory: 38143, decode.loss_cls: 0.3724, decode.loss_mask: 0.5648, decode.loss_dice: 0.8391, decode.d0.loss_cls: 1.5043, decode.d0.loss_mask: 0.5941, decode.d0.loss_dice: 0.9621, decode.d1.loss_cls: 0.4737, decode.d1.loss_mask: 0.5861, decode.d1.loss_dice: 0.8926, decode.d2.loss_cls: 0.4096, decode.d2.loss_mask: 0.5733, decode.d2.loss_dice: 0.8640, decode.d3.loss_cls: 0.3900, decode.d3.loss_mask: 0.5693, decode.d3.loss_dice: 0.8421, decode.d4.loss_cls: 0.3709, decode.d4.loss_mask: 0.5700, decode.d4.loss_dice: 0.8462, decode.d5.loss_cls: 0.3744, decode.d5.loss_mask: 0.5680, decode.d5.loss_dice: 0.8430, decode.d6.loss_cls: 0.3692, decode.d6.loss_mask: 0.5668, decode.d6.loss_dice: 0.8443, decode.d7.loss_cls: 0.3655, decode.d7.loss_mask: 0.5683, decode.d7.loss_dice: 0.8397, decode.d8.loss_cls: 0.3654, decode.d8.loss_mask: 0.5689, decode.d8.loss_dice: 0.8425, loss: 19.3407, grad_norm: 78.3615 2023-11-22 05:43:10,459 - mmseg - INFO - Iter [51850/160000] lr: 6.438e-06, eta: 17:39:00, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3698, decode.loss_mask: 0.5489, decode.loss_dice: 0.8170, decode.d0.loss_cls: 1.5660, decode.d0.loss_mask: 0.5782, decode.d0.loss_dice: 0.9408, decode.d1.loss_cls: 0.4744, decode.d1.loss_mask: 0.5687, decode.d1.loss_dice: 0.8761, decode.d2.loss_cls: 0.4198, decode.d2.loss_mask: 0.5519, decode.d2.loss_dice: 0.8424, decode.d3.loss_cls: 0.3958, decode.d3.loss_mask: 0.5513, decode.d3.loss_dice: 0.8288, decode.d4.loss_cls: 0.3857, decode.d4.loss_mask: 0.5517, decode.d4.loss_dice: 0.8275, decode.d5.loss_cls: 0.3805, decode.d5.loss_mask: 0.5513, decode.d5.loss_dice: 0.8266, decode.d6.loss_cls: 0.3774, decode.d6.loss_mask: 0.5500, decode.d6.loss_dice: 0.8171, decode.d7.loss_cls: 0.3727, decode.d7.loss_mask: 0.5501, decode.d7.loss_dice: 0.8201, decode.d8.loss_cls: 0.3686, decode.d8.loss_mask: 0.5505, decode.d8.loss_dice: 0.8184, loss: 19.0781, grad_norm: 68.6098 2023-11-22 05:43:38,755 - mmseg - INFO - Iter [51900/160000] lr: 6.435e-06, eta: 17:38:28, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3687, decode.loss_mask: 0.5711, decode.loss_dice: 0.8334, decode.d0.loss_cls: 1.5300, decode.d0.loss_mask: 0.6006, decode.d0.loss_dice: 0.9527, decode.d1.loss_cls: 0.4602, decode.d1.loss_mask: 0.5904, decode.d1.loss_dice: 0.8909, decode.d2.loss_cls: 0.4149, decode.d2.loss_mask: 0.5744, decode.d2.loss_dice: 0.8556, decode.d3.loss_cls: 0.3929, decode.d3.loss_mask: 0.5720, decode.d3.loss_dice: 0.8454, decode.d4.loss_cls: 0.3818, decode.d4.loss_mask: 0.5718, decode.d4.loss_dice: 0.8449, decode.d5.loss_cls: 0.3708, decode.d5.loss_mask: 0.5695, decode.d5.loss_dice: 0.8430, decode.d6.loss_cls: 0.3713, decode.d6.loss_mask: 0.5671, decode.d6.loss_dice: 0.8388, decode.d7.loss_cls: 0.3661, decode.d7.loss_mask: 0.5692, decode.d7.loss_dice: 0.8408, decode.d8.loss_cls: 0.3665, decode.d8.loss_mask: 0.5718, decode.d8.loss_dice: 0.8420, loss: 19.3686, grad_norm: 77.5648 2023-11-22 05:44:07,194 - mmseg - INFO - Iter [51950/160000] lr: 6.432e-06, eta: 17:37:57, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3924, decode.loss_mask: 0.5731, decode.loss_dice: 0.8552, decode.d0.loss_cls: 1.5514, decode.d0.loss_mask: 0.6195, decode.d0.loss_dice: 0.9919, decode.d1.loss_cls: 0.4946, decode.d1.loss_mask: 0.6030, decode.d1.loss_dice: 0.9182, decode.d2.loss_cls: 0.4431, decode.d2.loss_mask: 0.5870, decode.d2.loss_dice: 0.8784, decode.d3.loss_cls: 0.4153, decode.d3.loss_mask: 0.5835, decode.d3.loss_dice: 0.8639, decode.d4.loss_cls: 0.4082, decode.d4.loss_mask: 0.5786, decode.d4.loss_dice: 0.8643, decode.d5.loss_cls: 0.4056, decode.d5.loss_mask: 0.5753, decode.d5.loss_dice: 0.8635, decode.d6.loss_cls: 0.3988, decode.d6.loss_mask: 0.5737, decode.d6.loss_dice: 0.8543, decode.d7.loss_cls: 0.3969, decode.d7.loss_mask: 0.5735, decode.d7.loss_dice: 0.8584, decode.d8.loss_cls: 0.3939, decode.d8.loss_mask: 0.5725, decode.d8.loss_dice: 0.8584, loss: 19.9460, grad_norm: 71.9134 2023-11-22 05:44:35,390 - mmseg - INFO - Saving checkpoint at 52000 iterations 2023-11-22 05:44:44,419 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 05:44:44,419 - mmseg - INFO - Iter [52000/160000] lr: 6.429e-06, eta: 17:37:44, time: 0.745, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3885, decode.loss_mask: 0.5530, decode.loss_dice: 0.8380, decode.d0.loss_cls: 1.5834, decode.d0.loss_mask: 0.5886, decode.d0.loss_dice: 0.9786, decode.d1.loss_cls: 0.5052, decode.d1.loss_mask: 0.5744, decode.d1.loss_dice: 0.8996, decode.d2.loss_cls: 0.4398, decode.d2.loss_mask: 0.5627, decode.d2.loss_dice: 0.8647, decode.d3.loss_cls: 0.4057, decode.d3.loss_mask: 0.5603, decode.d3.loss_dice: 0.8524, decode.d4.loss_cls: 0.4003, decode.d4.loss_mask: 0.5563, decode.d4.loss_dice: 0.8448, decode.d5.loss_cls: 0.3938, decode.d5.loss_mask: 0.5553, decode.d5.loss_dice: 0.8431, decode.d6.loss_cls: 0.3983, decode.d6.loss_mask: 0.5533, decode.d6.loss_dice: 0.8375, decode.d7.loss_cls: 0.3934, decode.d7.loss_mask: 0.5535, decode.d7.loss_dice: 0.8365, decode.d8.loss_cls: 0.3889, decode.d8.loss_mask: 0.5535, decode.d8.loss_dice: 0.8375, loss: 19.5407, grad_norm: 70.8212 2023-11-22 05:45:03,703 - mmseg - INFO - per class results: 2023-11-22 05:45:03,708 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.78 | 88.04 | | building | 83.49 | 92.39 | | sky | 94.87 | 97.6 | | floor | 84.85 | 90.38 | | tree | 76.21 | 89.31 | | ceiling | 85.06 | 92.1 | | road | 86.71 | 90.61 | | bed | 91.33 | 95.4 | | windowpane | 64.39 | 79.49 | | grass | 68.19 | 81.22 | | cabinet | 62.8 | 74.4 | | sidewalk | 70.99 | 85.04 | | person | 86.59 | 93.48 | | earth | 37.83 | 54.13 | | door | 52.35 | 70.54 | | table | 67.38 | 84.55 | | mountain | 55.24 | 74.67 | | plant | 50.66 | 63.14 | | curtain | 78.56 | 89.06 | | chair | 67.37 | 81.42 | | car | 87.72 | 93.36 | | water | 52.88 | 66.04 | | painting | 78.1 | 91.59 | | sofa | 75.1 | 84.8 | | shelf | 41.23 | 51.32 | | house | 44.58 | 62.22 | | sea | 58.27 | 89.13 | | mirror | 70.72 | 83.5 | | rug | 70.01 | 82.48 | | field | 31.79 | 47.13 | | armchair | 54.94 | 75.87 | | seat | 62.94 | 88.38 | | fence | 52.52 | 70.76 | | desk | 52.82 | 73.99 | | rock | 30.39 | 39.1 | | wardrobe | 45.82 | 69.7 | | lamp | 72.04 | 83.76 | | bathtub | 74.36 | 87.7 | | railing | 37.97 | 55.16 | | cushion | 68.36 | 76.42 | | base | 48.42 | 73.22 | | box | 34.02 | 50.23 | | column | 48.79 | 60.98 | | signboard | 40.82 | 61.39 | | chest of drawers | 43.22 | 66.0 | | counter | 41.51 | 50.62 | | sand | 34.23 | 52.32 | | sink | 79.58 | 86.57 | | skyscraper | 35.08 | 41.77 | | fireplace | 78.42 | 90.51 | | refrigerator | 77.0 | 92.31 | | grandstand | 53.59 | 75.21 | | path | 22.22 | 36.86 | | stairs | 23.03 | 25.21 | | runway | 76.57 | 97.48 | | case | 61.71 | 88.03 | | pool table | 94.03 | 97.53 | | pillow | 63.47 | 79.56 | | screen door | 72.38 | 90.14 | | stairway | 27.75 | 55.33 | | river | 15.62 | 19.89 | | bridge | 79.3 | 87.94 | | bookcase | 28.91 | 52.22 | | blind | 44.33 | 50.23 | | coffee table | 69.65 | 84.31 | | toilet | 89.22 | 91.89 | | flower | 37.99 | 70.13 | | book | 51.87 | 80.11 | | hill | 7.85 | 13.92 | | bench | 65.15 | 78.09 | | countertop | 60.97 | 74.95 | | stove | 82.69 | 88.35 | | palm | 55.23 | 81.23 | | kitchen island | 40.41 | 67.11 | | computer | 68.77 | 75.69 | | swivel chair | 56.21 | 74.47 | | boat | 47.76 | 56.39 | | bar | 60.64 | 71.08 | | arcade machine | 53.28 | 56.24 | | hovel | 39.3 | 49.04 | | bus | 89.88 | 96.07 | | towel | 83.1 | 90.82 | | light | 56.91 | 85.31 | | truck | 39.2 | 52.85 | | tower | 40.43 | 75.47 | | chandelier | 68.49 | 83.86 | | awning | 38.3 | 47.98 | | streetlight | 42.84 | 68.76 | | booth | 46.32 | 48.73 | | television receiver | 78.32 | 90.83 | | airplane | 69.56 | 74.87 | | dirt track | 13.03 | 53.74 | | apparel | 46.32 | 68.38 | | pole | 32.94 | 49.87 | | land | 0.51 | 0.8 | | bannister | 18.09 | 27.88 | | escalator | 58.78 | 67.54 | | ottoman | 57.52 | 71.37 | | bottle | 46.15 | 82.38 | | buffet | 49.3 | 56.31 | | poster | 30.86 | 45.56 | | stage | 23.1 | 32.05 | | van | 50.8 | 76.73 | | ship | 13.7 | 24.83 | | fountain | 21.49 | 21.89 | | conveyer belt | 70.41 | 90.51 | | canopy | 37.86 | 75.4 | | washer | 79.35 | 83.83 | | plaything | 42.28 | 56.34 | | swimming pool | 50.05 | 70.55 | | stool | 51.57 | 75.64 | | barrel | 75.55 | 98.94 | | basket | 45.33 | 59.83 | | waterfall | 61.95 | 91.85 | | tent | 96.26 | 98.1 | | bag | 32.26 | 45.15 | | minibike | 73.3 | 89.19 | | cradle | 86.61 | 97.71 | | oven | 31.94 | 81.17 | | ball | 39.89 | 42.45 | | food | 54.06 | 57.74 | | step | 31.84 | 43.53 | | tank | 53.67 | 66.3 | | trade name | 24.59 | 30.52 | | microwave | 42.88 | 46.55 | | pot | 59.11 | 74.59 | | animal | 62.34 | 63.78 | | bicycle | 61.94 | 82.77 | | lake | 0.0 | 0.0 | | dishwasher | 75.7 | 82.44 | | screen | 52.45 | 93.1 | | blanket | 35.67 | 48.74 | | sculpture | 68.89 | 88.81 | | hood | 71.99 | 77.96 | | sconce | 58.06 | 79.79 | | vase | 56.36 | 77.25 | | traffic light | 43.31 | 72.63 | | tray | 15.54 | 21.74 | | ashcan | 51.35 | 72.84 | | fan | 72.59 | 87.23 | | pier | 11.38 | 17.05 | | crt screen | 5.69 | 21.3 | | plate | 63.56 | 83.15 | | monitor | 11.61 | 13.83 | | bulletin board | 49.42 | 73.24 | | shower | 9.66 | 31.29 | | radiator | 70.86 | 86.16 | | glass | 25.51 | 28.73 | | clock | 43.99 | 60.62 | | flag | 49.13 | 58.54 | +---------------------+-------+-------+ 2023-11-22 05:45:03,708 - mmseg - INFO - Summary: 2023-11-22 05:45:03,708 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 84.6 | 53.62 | 68.18 | +------+-------+-------+ 2023-11-22 05:45:03,709 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 05:45:03,709 - mmseg - INFO - Iter(val) [250] aAcc: 0.8460, mIoU: 0.5362, mAcc: 0.6818, IoU.wall: 0.8078, IoU.building: 0.8349, IoU.sky: 0.9487, IoU.floor: 0.8485, IoU.tree: 0.7621, IoU.ceiling: 0.8506, IoU.road: 0.8671, IoU.bed : 0.9133, IoU.windowpane: 0.6439, IoU.grass: 0.6819, IoU.cabinet: 0.6280, IoU.sidewalk: 0.7099, IoU.person: 0.8659, IoU.earth: 0.3783, IoU.door: 0.5235, IoU.table: 0.6738, IoU.mountain: 0.5524, IoU.plant: 0.5066, IoU.curtain: 0.7856, IoU.chair: 0.6737, IoU.car: 0.8772, IoU.water: 0.5288, IoU.painting: 0.7810, IoU.sofa: 0.7510, IoU.shelf: 0.4123, IoU.house: 0.4458, IoU.sea: 0.5827, IoU.mirror: 0.7072, IoU.rug: 0.7001, IoU.field: 0.3179, IoU.armchair: 0.5494, IoU.seat: 0.6294, IoU.fence: 0.5252, IoU.desk: 0.5282, IoU.rock: 0.3039, IoU.wardrobe: 0.4582, IoU.lamp: 0.7204, IoU.bathtub: 0.7436, IoU.railing: 0.3797, IoU.cushion: 0.6836, IoU.base: 0.4842, IoU.box: 0.3402, IoU.column: 0.4879, IoU.signboard: 0.4082, IoU.chest of drawers: 0.4322, IoU.counter: 0.4151, IoU.sand: 0.3423, IoU.sink: 0.7958, IoU.skyscraper: 0.3508, IoU.fireplace: 0.7842, IoU.refrigerator: 0.7700, IoU.grandstand: 0.5359, IoU.path: 0.2222, IoU.stairs: 0.2303, IoU.runway: 0.7657, IoU.case: 0.6171, IoU.pool table: 0.9403, IoU.pillow: 0.6347, IoU.screen door: 0.7238, IoU.stairway: 0.2775, IoU.river: 0.1562, IoU.bridge: 0.7930, IoU.bookcase: 0.2891, IoU.blind: 0.4433, IoU.coffee table: 0.6965, IoU.toilet: 0.8922, IoU.flower: 0.3799, IoU.book: 0.5187, IoU.hill: 0.0785, IoU.bench: 0.6515, IoU.countertop: 0.6097, IoU.stove: 0.8269, IoU.palm: 0.5523, IoU.kitchen island: 0.4041, IoU.computer: 0.6877, IoU.swivel chair: 0.5621, IoU.boat: 0.4776, IoU.bar: 0.6064, IoU.arcade machine: 0.5328, IoU.hovel: 0.3930, IoU.bus: 0.8988, IoU.towel: 0.8310, IoU.light: 0.5691, IoU.truck: 0.3920, IoU.tower: 0.4043, IoU.chandelier: 0.6849, IoU.awning: 0.3830, IoU.streetlight: 0.4284, IoU.booth: 0.4632, IoU.television receiver: 0.7832, IoU.airplane: 0.6956, IoU.dirt track: 0.1303, IoU.apparel: 0.4632, IoU.pole: 0.3294, IoU.land: 0.0051, IoU.bannister: 0.1809, IoU.escalator: 0.5878, IoU.ottoman: 0.5752, IoU.bottle: 0.4615, IoU.buffet: 0.4930, IoU.poster: 0.3086, IoU.stage: 0.2310, IoU.van: 0.5080, IoU.ship: 0.1370, IoU.fountain: 0.2149, IoU.conveyer belt: 0.7041, IoU.canopy: 0.3786, IoU.washer: 0.7935, IoU.plaything: 0.4228, IoU.swimming pool: 0.5005, IoU.stool: 0.5157, IoU.barrel: 0.7555, IoU.basket: 0.4533, IoU.waterfall: 0.6195, IoU.tent: 0.9626, IoU.bag: 0.3226, IoU.minibike: 0.7330, IoU.cradle: 0.8661, IoU.oven: 0.3194, IoU.ball: 0.3989, IoU.food: 0.5406, IoU.step: 0.3184, IoU.tank: 0.5367, IoU.trade name: 0.2459, IoU.microwave: 0.4288, IoU.pot: 0.5911, IoU.animal: 0.6234, IoU.bicycle: 0.6194, IoU.lake: 0.0000, IoU.dishwasher: 0.7570, IoU.screen: 0.5245, IoU.blanket: 0.3567, IoU.sculpture: 0.6889, IoU.hood: 0.7199, IoU.sconce: 0.5806, IoU.vase: 0.5636, IoU.traffic light: 0.4331, IoU.tray: 0.1554, IoU.ashcan: 0.5135, IoU.fan: 0.7259, IoU.pier: 0.1138, IoU.crt screen: 0.0569, IoU.plate: 0.6356, IoU.monitor: 0.1161, IoU.bulletin board: 0.4942, IoU.shower: 0.0966, IoU.radiator: 0.7086, IoU.glass: 0.2551, IoU.clock: 0.4399, IoU.flag: 0.4913, Acc.wall: 0.8804, Acc.building: 0.9239, Acc.sky: 0.9760, Acc.floor: 0.9038, Acc.tree: 0.8931, Acc.ceiling: 0.9210, Acc.road: 0.9061, Acc.bed : 0.9540, Acc.windowpane: 0.7949, Acc.grass: 0.8122, Acc.cabinet: 0.7440, Acc.sidewalk: 0.8504, Acc.person: 0.9348, Acc.earth: 0.5413, Acc.door: 0.7054, Acc.table: 0.8455, Acc.mountain: 0.7467, Acc.plant: 0.6314, Acc.curtain: 0.8906, Acc.chair: 0.8142, Acc.car: 0.9336, Acc.water: 0.6604, Acc.painting: 0.9159, Acc.sofa: 0.8480, Acc.shelf: 0.5132, Acc.house: 0.6222, Acc.sea: 0.8913, Acc.mirror: 0.8350, Acc.rug: 0.8248, Acc.field: 0.4713, Acc.armchair: 0.7587, Acc.seat: 0.8838, Acc.fence: 0.7076, Acc.desk: 0.7399, Acc.rock: 0.3910, Acc.wardrobe: 0.6970, Acc.lamp: 0.8376, Acc.bathtub: 0.8770, Acc.railing: 0.5516, Acc.cushion: 0.7642, Acc.base: 0.7322, Acc.box: 0.5023, Acc.column: 0.6098, Acc.signboard: 0.6139, Acc.chest of drawers: 0.6600, Acc.counter: 0.5062, Acc.sand: 0.5232, Acc.sink: 0.8657, Acc.skyscraper: 0.4177, Acc.fireplace: 0.9051, Acc.refrigerator: 0.9231, Acc.grandstand: 0.7521, Acc.path: 0.3686, Acc.stairs: 0.2521, Acc.runway: 0.9748, Acc.case: 0.8803, Acc.pool table: 0.9753, Acc.pillow: 0.7956, Acc.screen door: 0.9014, Acc.stairway: 0.5533, Acc.river: 0.1989, Acc.bridge: 0.8794, Acc.bookcase: 0.5222, Acc.blind: 0.5023, Acc.coffee table: 0.8431, Acc.toilet: 0.9189, Acc.flower: 0.7013, Acc.book: 0.8011, Acc.hill: 0.1392, Acc.bench: 0.7809, Acc.countertop: 0.7495, Acc.stove: 0.8835, Acc.palm: 0.8123, Acc.kitchen island: 0.6711, Acc.computer: 0.7569, Acc.swivel chair: 0.7447, Acc.boat: 0.5639, Acc.bar: 0.7108, Acc.arcade machine: 0.5624, Acc.hovel: 0.4904, Acc.bus: 0.9607, Acc.towel: 0.9082, Acc.light: 0.8531, Acc.truck: 0.5285, Acc.tower: 0.7547, Acc.chandelier: 0.8386, Acc.awning: 0.4798, Acc.streetlight: 0.6876, Acc.booth: 0.4873, Acc.television receiver: 0.9083, Acc.airplane: 0.7487, Acc.dirt track: 0.5374, Acc.apparel: 0.6838, Acc.pole: 0.4987, Acc.land: 0.0080, Acc.bannister: 0.2788, Acc.escalator: 0.6754, Acc.ottoman: 0.7137, Acc.bottle: 0.8238, Acc.buffet: 0.5631, Acc.poster: 0.4556, Acc.stage: 0.3205, Acc.van: 0.7673, Acc.ship: 0.2483, Acc.fountain: 0.2189, Acc.conveyer belt: 0.9051, Acc.canopy: 0.7540, Acc.washer: 0.8383, Acc.plaything: 0.5634, Acc.swimming pool: 0.7055, Acc.stool: 0.7564, Acc.barrel: 0.9894, Acc.basket: 0.5983, Acc.waterfall: 0.9185, Acc.tent: 0.9810, Acc.bag: 0.4515, Acc.minibike: 0.8919, Acc.cradle: 0.9771, Acc.oven: 0.8117, Acc.ball: 0.4245, Acc.food: 0.5774, Acc.step: 0.4353, Acc.tank: 0.6630, Acc.trade name: 0.3052, Acc.microwave: 0.4655, Acc.pot: 0.7459, Acc.animal: 0.6378, Acc.bicycle: 0.8277, Acc.lake: 0.0000, Acc.dishwasher: 0.8244, Acc.screen: 0.9310, Acc.blanket: 0.4874, Acc.sculpture: 0.8881, Acc.hood: 0.7796, Acc.sconce: 0.7979, Acc.vase: 0.7725, Acc.traffic light: 0.7263, Acc.tray: 0.2174, Acc.ashcan: 0.7284, Acc.fan: 0.8723, Acc.pier: 0.1705, Acc.crt screen: 0.2130, Acc.plate: 0.8315, Acc.monitor: 0.1383, Acc.bulletin board: 0.7324, Acc.shower: 0.3129, Acc.radiator: 0.8616, Acc.glass: 0.2873, Acc.clock: 0.6062, Acc.flag: 0.5854 2023-11-22 05:45:31,979 - mmseg - INFO - Iter [52050/160000] lr: 6.426e-06, eta: 17:37:52, time: 0.951, data_time: 0.399, memory: 38143, decode.loss_cls: 0.3509, decode.loss_mask: 0.5466, decode.loss_dice: 0.8120, decode.d0.loss_cls: 1.4696, decode.d0.loss_mask: 0.5864, decode.d0.loss_dice: 0.9289, decode.d1.loss_cls: 0.4390, decode.d1.loss_mask: 0.5710, decode.d1.loss_dice: 0.8553, decode.d2.loss_cls: 0.3915, decode.d2.loss_mask: 0.5589, decode.d2.loss_dice: 0.8343, decode.d3.loss_cls: 0.3726, decode.d3.loss_mask: 0.5470, decode.d3.loss_dice: 0.8164, decode.d4.loss_cls: 0.3646, decode.d4.loss_mask: 0.5495, decode.d4.loss_dice: 0.8146, decode.d5.loss_cls: 0.3586, decode.d5.loss_mask: 0.5457, decode.d5.loss_dice: 0.8128, decode.d6.loss_cls: 0.3563, decode.d6.loss_mask: 0.5449, decode.d6.loss_dice: 0.8075, decode.d7.loss_cls: 0.3512, decode.d7.loss_mask: 0.5465, decode.d7.loss_dice: 0.8085, decode.d8.loss_cls: 0.3487, decode.d8.loss_mask: 0.5471, decode.d8.loss_dice: 0.8102, loss: 18.6469, grad_norm: 69.8344 2023-11-22 05:46:00,477 - mmseg - INFO - Iter [52100/160000] lr: 6.423e-06, eta: 17:37:21, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3708, decode.loss_mask: 0.5629, decode.loss_dice: 0.8370, decode.d0.loss_cls: 1.5495, decode.d0.loss_mask: 0.6025, decode.d0.loss_dice: 0.9644, decode.d1.loss_cls: 0.4730, decode.d1.loss_mask: 0.5885, decode.d1.loss_dice: 0.8969, decode.d2.loss_cls: 0.4109, decode.d2.loss_mask: 0.5720, decode.d2.loss_dice: 0.8692, decode.d3.loss_cls: 0.3908, decode.d3.loss_mask: 0.5648, decode.d3.loss_dice: 0.8402, decode.d4.loss_cls: 0.3810, decode.d4.loss_mask: 0.5636, decode.d4.loss_dice: 0.8413, decode.d5.loss_cls: 0.3792, decode.d5.loss_mask: 0.5614, decode.d5.loss_dice: 0.8410, decode.d6.loss_cls: 0.3808, decode.d6.loss_mask: 0.5604, decode.d6.loss_dice: 0.8357, decode.d7.loss_cls: 0.3770, decode.d7.loss_mask: 0.5619, decode.d7.loss_dice: 0.8386, decode.d8.loss_cls: 0.3734, decode.d8.loss_mask: 0.5613, decode.d8.loss_dice: 0.8385, loss: 19.3886, grad_norm: 75.8086 2023-11-22 05:46:28,908 - mmseg - INFO - Iter [52150/160000] lr: 6.420e-06, eta: 17:36:49, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3657, decode.loss_mask: 0.5694, decode.loss_dice: 0.8242, decode.d0.loss_cls: 1.5261, decode.d0.loss_mask: 0.6122, decode.d0.loss_dice: 0.9443, decode.d1.loss_cls: 0.4715, decode.d1.loss_mask: 0.5949, decode.d1.loss_dice: 0.8695, decode.d2.loss_cls: 0.4030, decode.d2.loss_mask: 0.5814, decode.d2.loss_dice: 0.8435, decode.d3.loss_cls: 0.3911, decode.d3.loss_mask: 0.5746, decode.d3.loss_dice: 0.8279, decode.d4.loss_cls: 0.3729, decode.d4.loss_mask: 0.5729, decode.d4.loss_dice: 0.8324, decode.d5.loss_cls: 0.3751, decode.d5.loss_mask: 0.5730, decode.d5.loss_dice: 0.8300, decode.d6.loss_cls: 0.3734, decode.d6.loss_mask: 0.5691, decode.d6.loss_dice: 0.8190, decode.d7.loss_cls: 0.3735, decode.d7.loss_mask: 0.5686, decode.d7.loss_dice: 0.8215, decode.d8.loss_cls: 0.3645, decode.d8.loss_mask: 0.5699, decode.d8.loss_dice: 0.8216, loss: 19.2367, grad_norm: 72.5194 2023-11-22 05:46:57,278 - mmseg - INFO - Iter [52200/160000] lr: 6.417e-06, eta: 17:36:18, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3881, decode.loss_mask: 0.5648, decode.loss_dice: 0.8569, decode.d0.loss_cls: 1.5753, decode.d0.loss_mask: 0.5998, decode.d0.loss_dice: 0.9791, decode.d1.loss_cls: 0.5050, decode.d1.loss_mask: 0.5889, decode.d1.loss_dice: 0.9101, decode.d2.loss_cls: 0.4294, decode.d2.loss_mask: 0.5789, decode.d2.loss_dice: 0.8791, decode.d3.loss_cls: 0.4107, decode.d3.loss_mask: 0.5666, decode.d3.loss_dice: 0.8650, decode.d4.loss_cls: 0.3987, decode.d4.loss_mask: 0.5677, decode.d4.loss_dice: 0.8624, decode.d5.loss_cls: 0.3987, decode.d5.loss_mask: 0.5670, decode.d5.loss_dice: 0.8596, decode.d6.loss_cls: 0.3998, decode.d6.loss_mask: 0.5668, decode.d6.loss_dice: 0.8499, decode.d7.loss_cls: 0.3875, decode.d7.loss_mask: 0.5647, decode.d7.loss_dice: 0.8573, decode.d8.loss_cls: 0.3921, decode.d8.loss_mask: 0.5654, decode.d8.loss_dice: 0.8552, loss: 19.7905, grad_norm: 70.0125 2023-11-22 05:47:25,468 - mmseg - INFO - Iter [52250/160000] lr: 6.414e-06, eta: 17:35:46, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3871, decode.loss_mask: 0.6015, decode.loss_dice: 0.8512, decode.d0.loss_cls: 1.5039, decode.d0.loss_mask: 0.6375, decode.d0.loss_dice: 0.9635, decode.d1.loss_cls: 0.4695, decode.d1.loss_mask: 0.6249, decode.d1.loss_dice: 0.8975, decode.d2.loss_cls: 0.4181, decode.d2.loss_mask: 0.6151, decode.d2.loss_dice: 0.8820, decode.d3.loss_cls: 0.4019, decode.d3.loss_mask: 0.6074, decode.d3.loss_dice: 0.8578, decode.d4.loss_cls: 0.3930, decode.d4.loss_mask: 0.6003, decode.d4.loss_dice: 0.8597, decode.d5.loss_cls: 0.3895, decode.d5.loss_mask: 0.6027, decode.d5.loss_dice: 0.8538, decode.d6.loss_cls: 0.3905, decode.d6.loss_mask: 0.5991, decode.d6.loss_dice: 0.8434, decode.d7.loss_cls: 0.3848, decode.d7.loss_mask: 0.5985, decode.d7.loss_dice: 0.8493, decode.d8.loss_cls: 0.3868, decode.d8.loss_mask: 0.6028, decode.d8.loss_dice: 0.8536, loss: 19.9269, grad_norm: 77.3648 2023-11-22 05:47:53,655 - mmseg - INFO - Iter [52300/160000] lr: 6.411e-06, eta: 17:35:14, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3980, decode.loss_mask: 0.5769, decode.loss_dice: 0.8388, decode.d0.loss_cls: 1.5859, decode.d0.loss_mask: 0.6109, decode.d0.loss_dice: 0.9648, decode.d1.loss_cls: 0.5154, decode.d1.loss_mask: 0.6012, decode.d1.loss_dice: 0.8860, decode.d2.loss_cls: 0.4431, decode.d2.loss_mask: 0.5870, decode.d2.loss_dice: 0.8628, decode.d3.loss_cls: 0.4187, decode.d3.loss_mask: 0.5808, decode.d3.loss_dice: 0.8429, decode.d4.loss_cls: 0.4081, decode.d4.loss_mask: 0.5773, decode.d4.loss_dice: 0.8454, decode.d5.loss_cls: 0.3991, decode.d5.loss_mask: 0.5787, decode.d5.loss_dice: 0.8506, decode.d6.loss_cls: 0.3980, decode.d6.loss_mask: 0.5746, decode.d6.loss_dice: 0.8329, decode.d7.loss_cls: 0.3986, decode.d7.loss_mask: 0.5739, decode.d7.loss_dice: 0.8368, decode.d8.loss_cls: 0.3963, decode.d8.loss_mask: 0.5746, decode.d8.loss_dice: 0.8422, loss: 19.8006, grad_norm: 73.9623 2023-11-22 05:48:21,899 - mmseg - INFO - Iter [52350/160000] lr: 6.409e-06, eta: 17:34:42, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3889, decode.loss_mask: 0.5762, decode.loss_dice: 0.8332, decode.d0.loss_cls: 1.5164, decode.d0.loss_mask: 0.6195, decode.d0.loss_dice: 0.9623, decode.d1.loss_cls: 0.4839, decode.d1.loss_mask: 0.6011, decode.d1.loss_dice: 0.8881, decode.d2.loss_cls: 0.4288, decode.d2.loss_mask: 0.5844, decode.d2.loss_dice: 0.8672, decode.d3.loss_cls: 0.4037, decode.d3.loss_mask: 0.5808, decode.d3.loss_dice: 0.8458, decode.d4.loss_cls: 0.3931, decode.d4.loss_mask: 0.5814, decode.d4.loss_dice: 0.8493, decode.d5.loss_cls: 0.3972, decode.d5.loss_mask: 0.5772, decode.d5.loss_dice: 0.8412, decode.d6.loss_cls: 0.3902, decode.d6.loss_mask: 0.5782, decode.d6.loss_dice: 0.8355, decode.d7.loss_cls: 0.3872, decode.d7.loss_mask: 0.5777, decode.d7.loss_dice: 0.8369, decode.d8.loss_cls: 0.3867, decode.d8.loss_mask: 0.5765, decode.d8.loss_dice: 0.8383, loss: 19.6271, grad_norm: 70.7050 2023-11-22 05:48:50,384 - mmseg - INFO - Iter [52400/160000] lr: 6.406e-06, eta: 17:34:11, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3589, decode.loss_mask: 0.5517, decode.loss_dice: 0.8329, decode.d0.loss_cls: 1.4716, decode.d0.loss_mask: 0.5890, decode.d0.loss_dice: 0.9551, decode.d1.loss_cls: 0.4564, decode.d1.loss_mask: 0.5666, decode.d1.loss_dice: 0.8859, decode.d2.loss_cls: 0.4008, decode.d2.loss_mask: 0.5606, decode.d2.loss_dice: 0.8584, decode.d3.loss_cls: 0.3804, decode.d3.loss_mask: 0.5589, decode.d3.loss_dice: 0.8399, decode.d4.loss_cls: 0.3654, decode.d4.loss_mask: 0.5561, decode.d4.loss_dice: 0.8435, decode.d5.loss_cls: 0.3647, decode.d5.loss_mask: 0.5565, decode.d5.loss_dice: 0.8397, decode.d6.loss_cls: 0.3598, decode.d6.loss_mask: 0.5568, decode.d6.loss_dice: 0.8403, decode.d7.loss_cls: 0.3672, decode.d7.loss_mask: 0.5548, decode.d7.loss_dice: 0.8380, decode.d8.loss_cls: 0.3604, decode.d8.loss_mask: 0.5521, decode.d8.loss_dice: 0.8348, loss: 19.0573, grad_norm: 72.4255 2023-11-22 05:49:18,776 - mmseg - INFO - Iter [52450/160000] lr: 6.403e-06, eta: 17:33:40, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3573, decode.loss_mask: 0.5821, decode.loss_dice: 0.8497, decode.d0.loss_cls: 1.5034, decode.d0.loss_mask: 0.6159, decode.d0.loss_dice: 0.9569, decode.d1.loss_cls: 0.4526, decode.d1.loss_mask: 0.6040, decode.d1.loss_dice: 0.9010, decode.d2.loss_cls: 0.3955, decode.d2.loss_mask: 0.5894, decode.d2.loss_dice: 0.8795, decode.d3.loss_cls: 0.3801, decode.d3.loss_mask: 0.5872, decode.d3.loss_dice: 0.8618, decode.d4.loss_cls: 0.3715, decode.d4.loss_mask: 0.5823, decode.d4.loss_dice: 0.8574, decode.d5.loss_cls: 0.3625, decode.d5.loss_mask: 0.5829, decode.d5.loss_dice: 0.8534, decode.d6.loss_cls: 0.3585, decode.d6.loss_mask: 0.5835, decode.d6.loss_dice: 0.8511, decode.d7.loss_cls: 0.3558, decode.d7.loss_mask: 0.5850, decode.d7.loss_dice: 0.8533, decode.d8.loss_cls: 0.3586, decode.d8.loss_mask: 0.5822, decode.d8.loss_dice: 0.8514, loss: 19.5057, grad_norm: 72.6479 2023-11-22 05:49:46,979 - mmseg - INFO - Iter [52500/160000] lr: 6.400e-06, eta: 17:33:08, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3779, decode.loss_mask: 0.5725, decode.loss_dice: 0.8357, decode.d0.loss_cls: 1.5190, decode.d0.loss_mask: 0.6103, decode.d0.loss_dice: 0.9485, decode.d1.loss_cls: 0.4706, decode.d1.loss_mask: 0.5930, decode.d1.loss_dice: 0.8834, decode.d2.loss_cls: 0.4171, decode.d2.loss_mask: 0.5788, decode.d2.loss_dice: 0.8554, decode.d3.loss_cls: 0.4043, decode.d3.loss_mask: 0.5781, decode.d3.loss_dice: 0.8367, decode.d4.loss_cls: 0.3916, decode.d4.loss_mask: 0.5733, decode.d4.loss_dice: 0.8361, decode.d5.loss_cls: 0.3907, decode.d5.loss_mask: 0.5751, decode.d5.loss_dice: 0.8359, decode.d6.loss_cls: 0.3848, decode.d6.loss_mask: 0.5752, decode.d6.loss_dice: 0.8359, decode.d7.loss_cls: 0.3802, decode.d7.loss_mask: 0.5726, decode.d7.loss_dice: 0.8355, decode.d8.loss_cls: 0.3740, decode.d8.loss_mask: 0.5729, decode.d8.loss_dice: 0.8393, loss: 19.4546, grad_norm: 74.6580 2023-11-22 05:50:15,394 - mmseg - INFO - Iter [52550/160000] lr: 6.397e-06, eta: 17:32:37, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3725, decode.loss_mask: 0.5794, decode.loss_dice: 0.8410, decode.d0.loss_cls: 1.5339, decode.d0.loss_mask: 0.6177, decode.d0.loss_dice: 0.9630, decode.d1.loss_cls: 0.4883, decode.d1.loss_mask: 0.6023, decode.d1.loss_dice: 0.8987, decode.d2.loss_cls: 0.4124, decode.d2.loss_mask: 0.5908, decode.d2.loss_dice: 0.8711, decode.d3.loss_cls: 0.3882, decode.d3.loss_mask: 0.5829, decode.d3.loss_dice: 0.8548, decode.d4.loss_cls: 0.3825, decode.d4.loss_mask: 0.5829, decode.d4.loss_dice: 0.8488, decode.d5.loss_cls: 0.3788, decode.d5.loss_mask: 0.5805, decode.d5.loss_dice: 0.8531, decode.d6.loss_cls: 0.3759, decode.d6.loss_mask: 0.5802, decode.d6.loss_dice: 0.8446, decode.d7.loss_cls: 0.3799, decode.d7.loss_mask: 0.5774, decode.d7.loss_dice: 0.8417, decode.d8.loss_cls: 0.3817, decode.d8.loss_mask: 0.5786, decode.d8.loss_dice: 0.8419, loss: 19.6253, grad_norm: 77.3932 2023-11-22 05:50:43,624 - mmseg - INFO - Iter [52600/160000] lr: 6.394e-06, eta: 17:32:05, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3765, decode.loss_mask: 0.5683, decode.loss_dice: 0.8292, decode.d0.loss_cls: 1.5287, decode.d0.loss_mask: 0.6033, decode.d0.loss_dice: 0.9432, decode.d1.loss_cls: 0.4755, decode.d1.loss_mask: 0.5972, decode.d1.loss_dice: 0.8881, decode.d2.loss_cls: 0.4114, decode.d2.loss_mask: 0.5846, decode.d2.loss_dice: 0.8600, decode.d3.loss_cls: 0.3992, decode.d3.loss_mask: 0.5733, decode.d3.loss_dice: 0.8325, decode.d4.loss_cls: 0.3905, decode.d4.loss_mask: 0.5762, decode.d4.loss_dice: 0.8411, decode.d5.loss_cls: 0.3836, decode.d5.loss_mask: 0.5729, decode.d5.loss_dice: 0.8419, decode.d6.loss_cls: 0.3807, decode.d6.loss_mask: 0.5743, decode.d6.loss_dice: 0.8331, decode.d7.loss_cls: 0.3760, decode.d7.loss_mask: 0.5703, decode.d7.loss_dice: 0.8314, decode.d8.loss_cls: 0.3742, decode.d8.loss_mask: 0.5704, decode.d8.loss_dice: 0.8311, loss: 19.4187, grad_norm: 69.5588 2023-11-22 05:51:11,965 - mmseg - INFO - Iter [52650/160000] lr: 6.391e-06, eta: 17:31:33, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3726, decode.loss_mask: 0.5626, decode.loss_dice: 0.8185, decode.d0.loss_cls: 1.5053, decode.d0.loss_mask: 0.6008, decode.d0.loss_dice: 0.9397, decode.d1.loss_cls: 0.4582, decode.d1.loss_mask: 0.5815, decode.d1.loss_dice: 0.8806, decode.d2.loss_cls: 0.4074, decode.d2.loss_mask: 0.5667, decode.d2.loss_dice: 0.8450, decode.d3.loss_cls: 0.3849, decode.d3.loss_mask: 0.5654, decode.d3.loss_dice: 0.8271, decode.d4.loss_cls: 0.3761, decode.d4.loss_mask: 0.5630, decode.d4.loss_dice: 0.8232, decode.d5.loss_cls: 0.3722, decode.d5.loss_mask: 0.5615, decode.d5.loss_dice: 0.8222, decode.d6.loss_cls: 0.3738, decode.d6.loss_mask: 0.5623, decode.d6.loss_dice: 0.8172, decode.d7.loss_cls: 0.3673, decode.d7.loss_mask: 0.5632, decode.d7.loss_dice: 0.8171, decode.d8.loss_cls: 0.3691, decode.d8.loss_mask: 0.5622, decode.d8.loss_dice: 0.8255, loss: 19.0922, grad_norm: 68.0751 2023-11-22 05:51:40,715 - mmseg - INFO - Iter [52700/160000] lr: 6.388e-06, eta: 17:31:03, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3792, decode.loss_mask: 0.5821, decode.loss_dice: 0.8258, decode.d0.loss_cls: 1.5340, decode.d0.loss_mask: 0.6192, decode.d0.loss_dice: 0.9405, decode.d1.loss_cls: 0.4809, decode.d1.loss_mask: 0.6046, decode.d1.loss_dice: 0.8814, decode.d2.loss_cls: 0.4193, decode.d2.loss_mask: 0.5929, decode.d2.loss_dice: 0.8522, decode.d3.loss_cls: 0.4042, decode.d3.loss_mask: 0.5834, decode.d3.loss_dice: 0.8338, decode.d4.loss_cls: 0.3927, decode.d4.loss_mask: 0.5824, decode.d4.loss_dice: 0.8407, decode.d5.loss_cls: 0.3868, decode.d5.loss_mask: 0.5830, decode.d5.loss_dice: 0.8337, decode.d6.loss_cls: 0.3843, decode.d6.loss_mask: 0.5823, decode.d6.loss_dice: 0.8282, decode.d7.loss_cls: 0.3834, decode.d7.loss_mask: 0.5818, decode.d7.loss_dice: 0.8229, decode.d8.loss_cls: 0.3827, decode.d8.loss_mask: 0.5826, decode.d8.loss_dice: 0.8259, loss: 19.5270, grad_norm: 71.7306 2023-11-22 05:52:09,055 - mmseg - INFO - Iter [52750/160000] lr: 6.385e-06, eta: 17:30:31, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3699, decode.loss_mask: 0.5642, decode.loss_dice: 0.8193, decode.d0.loss_cls: 1.5258, decode.d0.loss_mask: 0.5991, decode.d0.loss_dice: 0.9453, decode.d1.loss_cls: 0.4589, decode.d1.loss_mask: 0.5826, decode.d1.loss_dice: 0.8752, decode.d2.loss_cls: 0.4030, decode.d2.loss_mask: 0.5715, decode.d2.loss_dice: 0.8448, decode.d3.loss_cls: 0.3829, decode.d3.loss_mask: 0.5661, decode.d3.loss_dice: 0.8261, decode.d4.loss_cls: 0.3779, decode.d4.loss_mask: 0.5670, decode.d4.loss_dice: 0.8278, decode.d5.loss_cls: 0.3754, decode.d5.loss_mask: 0.5646, decode.d5.loss_dice: 0.8246, decode.d6.loss_cls: 0.3720, decode.d6.loss_mask: 0.5635, decode.d6.loss_dice: 0.8166, decode.d7.loss_cls: 0.3726, decode.d7.loss_mask: 0.5626, decode.d7.loss_dice: 0.8165, decode.d8.loss_cls: 0.3644, decode.d8.loss_mask: 0.5658, decode.d8.loss_dice: 0.8176, loss: 19.1234, grad_norm: 69.1957 2023-11-22 05:52:37,314 - mmseg - INFO - Iter [52800/160000] lr: 6.382e-06, eta: 17:29:59, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3654, decode.loss_mask: 0.5765, decode.loss_dice: 0.8139, decode.d0.loss_cls: 1.5348, decode.d0.loss_mask: 0.6108, decode.d0.loss_dice: 0.9411, decode.d1.loss_cls: 0.4526, decode.d1.loss_mask: 0.5986, decode.d1.loss_dice: 0.8718, decode.d2.loss_cls: 0.4076, decode.d2.loss_mask: 0.5860, decode.d2.loss_dice: 0.8434, decode.d3.loss_cls: 0.3807, decode.d3.loss_mask: 0.5847, decode.d3.loss_dice: 0.8233, decode.d4.loss_cls: 0.3739, decode.d4.loss_mask: 0.5804, decode.d4.loss_dice: 0.8298, decode.d5.loss_cls: 0.3778, decode.d5.loss_mask: 0.5758, decode.d5.loss_dice: 0.8289, decode.d6.loss_cls: 0.3701, decode.d6.loss_mask: 0.5769, decode.d6.loss_dice: 0.8208, decode.d7.loss_cls: 0.3725, decode.d7.loss_mask: 0.5760, decode.d7.loss_dice: 0.8186, decode.d8.loss_cls: 0.3657, decode.d8.loss_mask: 0.5759, decode.d8.loss_dice: 0.8202, loss: 19.2545, grad_norm: 75.2984 2023-11-22 05:53:05,453 - mmseg - INFO - Iter [52850/160000] lr: 6.379e-06, eta: 17:29:27, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3694, decode.loss_mask: 0.5850, decode.loss_dice: 0.8462, decode.d0.loss_cls: 1.4897, decode.d0.loss_mask: 0.6286, decode.d0.loss_dice: 0.9619, decode.d1.loss_cls: 0.4791, decode.d1.loss_mask: 0.6129, decode.d1.loss_dice: 0.9053, decode.d2.loss_cls: 0.4146, decode.d2.loss_mask: 0.5999, decode.d2.loss_dice: 0.8760, decode.d3.loss_cls: 0.3929, decode.d3.loss_mask: 0.5881, decode.d3.loss_dice: 0.8582, decode.d4.loss_cls: 0.3848, decode.d4.loss_mask: 0.5874, decode.d4.loss_dice: 0.8572, decode.d5.loss_cls: 0.3741, decode.d5.loss_mask: 0.5887, decode.d5.loss_dice: 0.8573, decode.d6.loss_cls: 0.3686, decode.d6.loss_mask: 0.5910, decode.d6.loss_dice: 0.8491, decode.d7.loss_cls: 0.3641, decode.d7.loss_mask: 0.5883, decode.d7.loss_dice: 0.8519, decode.d8.loss_cls: 0.3721, decode.d8.loss_mask: 0.5875, decode.d8.loss_dice: 0.8488, loss: 19.6786, grad_norm: 79.3438 2023-11-22 05:53:33,692 - mmseg - INFO - Iter [52900/160000] lr: 6.376e-06, eta: 17:28:56, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.4003, decode.loss_mask: 0.5507, decode.loss_dice: 0.8468, decode.d0.loss_cls: 1.5660, decode.d0.loss_mask: 0.5929, decode.d0.loss_dice: 0.9807, decode.d1.loss_cls: 0.4972, decode.d1.loss_mask: 0.5741, decode.d1.loss_dice: 0.9204, decode.d2.loss_cls: 0.4362, decode.d2.loss_mask: 0.5678, decode.d2.loss_dice: 0.8866, decode.d3.loss_cls: 0.4119, decode.d3.loss_mask: 0.5631, decode.d3.loss_dice: 0.8616, decode.d4.loss_cls: 0.4033, decode.d4.loss_mask: 0.5595, decode.d4.loss_dice: 0.8626, decode.d5.loss_cls: 0.4006, decode.d5.loss_mask: 0.5607, decode.d5.loss_dice: 0.8624, decode.d6.loss_cls: 0.4011, decode.d6.loss_mask: 0.5536, decode.d6.loss_dice: 0.8517, decode.d7.loss_cls: 0.3982, decode.d7.loss_mask: 0.5531, decode.d7.loss_dice: 0.8561, decode.d8.loss_cls: 0.3985, decode.d8.loss_mask: 0.5533, decode.d8.loss_dice: 0.8550, loss: 19.7259, grad_norm: 66.3641 2023-11-22 05:54:02,011 - mmseg - INFO - Iter [52950/160000] lr: 6.373e-06, eta: 17:28:24, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3874, decode.loss_mask: 0.5840, decode.loss_dice: 0.8399, decode.d0.loss_cls: 1.5044, decode.d0.loss_mask: 0.6171, decode.d0.loss_dice: 0.9690, decode.d1.loss_cls: 0.4900, decode.d1.loss_mask: 0.6067, decode.d1.loss_dice: 0.8958, decode.d2.loss_cls: 0.4259, decode.d2.loss_mask: 0.5939, decode.d2.loss_dice: 0.8678, decode.d3.loss_cls: 0.4087, decode.d3.loss_mask: 0.5839, decode.d3.loss_dice: 0.8531, decode.d4.loss_cls: 0.3953, decode.d4.loss_mask: 0.5845, decode.d4.loss_dice: 0.8586, decode.d5.loss_cls: 0.3903, decode.d5.loss_mask: 0.5887, decode.d5.loss_dice: 0.8496, decode.d6.loss_cls: 0.3890, decode.d6.loss_mask: 0.5827, decode.d6.loss_dice: 0.8422, decode.d7.loss_cls: 0.3864, decode.d7.loss_mask: 0.5813, decode.d7.loss_dice: 0.8422, decode.d8.loss_cls: 0.3872, decode.d8.loss_mask: 0.5862, decode.d8.loss_dice: 0.8471, loss: 19.7393, grad_norm: 73.1789 2023-11-22 05:54:30,608 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 05:54:30,608 - mmseg - INFO - Iter [53000/160000] lr: 6.370e-06, eta: 17:27:53, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3668, decode.loss_mask: 0.5788, decode.loss_dice: 0.8336, decode.d0.loss_cls: 1.5422, decode.d0.loss_mask: 0.6133, decode.d0.loss_dice: 0.9506, decode.d1.loss_cls: 0.4662, decode.d1.loss_mask: 0.6074, decode.d1.loss_dice: 0.8969, decode.d2.loss_cls: 0.4206, decode.d2.loss_mask: 0.5919, decode.d2.loss_dice: 0.8604, decode.d3.loss_cls: 0.3938, decode.d3.loss_mask: 0.5855, decode.d3.loss_dice: 0.8455, decode.d4.loss_cls: 0.3897, decode.d4.loss_mask: 0.5845, decode.d4.loss_dice: 0.8451, decode.d5.loss_cls: 0.3774, decode.d5.loss_mask: 0.5853, decode.d5.loss_dice: 0.8431, decode.d6.loss_cls: 0.3787, decode.d6.loss_mask: 0.5822, decode.d6.loss_dice: 0.8370, decode.d7.loss_cls: 0.3723, decode.d7.loss_mask: 0.5822, decode.d7.loss_dice: 0.8380, decode.d8.loss_cls: 0.3727, decode.d8.loss_mask: 0.5803, decode.d8.loss_dice: 0.8362, loss: 19.5581, grad_norm: 73.0942 2023-11-22 05:55:01,422 - mmseg - INFO - Iter [53050/160000] lr: 6.367e-06, eta: 17:27:27, time: 0.616, data_time: 0.059, memory: 38143, decode.loss_cls: 0.3778, decode.loss_mask: 0.5448, decode.loss_dice: 0.8397, decode.d0.loss_cls: 1.5530, decode.d0.loss_mask: 0.5920, decode.d0.loss_dice: 0.9739, decode.d1.loss_cls: 0.4804, decode.d1.loss_mask: 0.5729, decode.d1.loss_dice: 0.9067, decode.d2.loss_cls: 0.4236, decode.d2.loss_mask: 0.5603, decode.d2.loss_dice: 0.8700, decode.d3.loss_cls: 0.3994, decode.d3.loss_mask: 0.5512, decode.d3.loss_dice: 0.8547, decode.d4.loss_cls: 0.3948, decode.d4.loss_mask: 0.5504, decode.d4.loss_dice: 0.8509, decode.d5.loss_cls: 0.3890, decode.d5.loss_mask: 0.5479, decode.d5.loss_dice: 0.8473, decode.d6.loss_cls: 0.3864, decode.d6.loss_mask: 0.5494, decode.d6.loss_dice: 0.8413, decode.d7.loss_cls: 0.3803, decode.d7.loss_mask: 0.5463, decode.d7.loss_dice: 0.8423, decode.d8.loss_cls: 0.3828, decode.d8.loss_mask: 0.5454, decode.d8.loss_dice: 0.8440, loss: 19.3990, grad_norm: 67.2652 2023-11-22 05:55:29,661 - mmseg - INFO - Iter [53100/160000] lr: 6.364e-06, eta: 17:26:55, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3580, decode.loss_mask: 0.5417, decode.loss_dice: 0.8155, decode.d0.loss_cls: 1.5512, decode.d0.loss_mask: 0.5817, decode.d0.loss_dice: 0.9401, decode.d1.loss_cls: 0.4509, decode.d1.loss_mask: 0.5666, decode.d1.loss_dice: 0.8681, decode.d2.loss_cls: 0.3964, decode.d2.loss_mask: 0.5567, decode.d2.loss_dice: 0.8425, decode.d3.loss_cls: 0.3742, decode.d3.loss_mask: 0.5464, decode.d3.loss_dice: 0.8212, decode.d4.loss_cls: 0.3716, decode.d4.loss_mask: 0.5454, decode.d4.loss_dice: 0.8190, decode.d5.loss_cls: 0.3650, decode.d5.loss_mask: 0.5452, decode.d5.loss_dice: 0.8208, decode.d6.loss_cls: 0.3604, decode.d6.loss_mask: 0.5461, decode.d6.loss_dice: 0.8122, decode.d7.loss_cls: 0.3548, decode.d7.loss_mask: 0.5466, decode.d7.loss_dice: 0.8177, decode.d8.loss_cls: 0.3546, decode.d8.loss_mask: 0.5438, decode.d8.loss_dice: 0.8196, loss: 18.8338, grad_norm: 67.3723 2023-11-22 05:55:58,090 - mmseg - INFO - Iter [53150/160000] lr: 6.361e-06, eta: 17:26:24, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3709, decode.loss_mask: 0.5476, decode.loss_dice: 0.8231, decode.d0.loss_cls: 1.5436, decode.d0.loss_mask: 0.5801, decode.d0.loss_dice: 0.9430, decode.d1.loss_cls: 0.4598, decode.d1.loss_mask: 0.5696, decode.d1.loss_dice: 0.8719, decode.d2.loss_cls: 0.4096, decode.d2.loss_mask: 0.5549, decode.d2.loss_dice: 0.8496, decode.d3.loss_cls: 0.3863, decode.d3.loss_mask: 0.5490, decode.d3.loss_dice: 0.8343, decode.d4.loss_cls: 0.3766, decode.d4.loss_mask: 0.5494, decode.d4.loss_dice: 0.8363, decode.d5.loss_cls: 0.3735, decode.d5.loss_mask: 0.5470, decode.d5.loss_dice: 0.8311, decode.d6.loss_cls: 0.3707, decode.d6.loss_mask: 0.5472, decode.d6.loss_dice: 0.8317, decode.d7.loss_cls: 0.3688, decode.d7.loss_mask: 0.5470, decode.d7.loss_dice: 0.8306, decode.d8.loss_cls: 0.3672, decode.d8.loss_mask: 0.5494, decode.d8.loss_dice: 0.8334, loss: 19.0530, grad_norm: 68.6830 2023-11-22 05:56:26,258 - mmseg - INFO - Iter [53200/160000] lr: 6.358e-06, eta: 17:25:52, time: 0.563, data_time: 0.015, memory: 38143, decode.loss_cls: 0.3389, decode.loss_mask: 0.5701, decode.loss_dice: 0.8411, decode.d0.loss_cls: 1.4540, decode.d0.loss_mask: 0.6074, decode.d0.loss_dice: 0.9602, decode.d1.loss_cls: 0.4479, decode.d1.loss_mask: 0.5873, decode.d1.loss_dice: 0.8997, decode.d2.loss_cls: 0.3791, decode.d2.loss_mask: 0.5767, decode.d2.loss_dice: 0.8695, decode.d3.loss_cls: 0.3544, decode.d3.loss_mask: 0.5706, decode.d3.loss_dice: 0.8548, decode.d4.loss_cls: 0.3447, decode.d4.loss_mask: 0.5690, decode.d4.loss_dice: 0.8531, decode.d5.loss_cls: 0.3445, decode.d5.loss_mask: 0.5693, decode.d5.loss_dice: 0.8519, decode.d6.loss_cls: 0.3448, decode.d6.loss_mask: 0.5679, decode.d6.loss_dice: 0.8419, decode.d7.loss_cls: 0.3370, decode.d7.loss_mask: 0.5665, decode.d7.loss_dice: 0.8490, decode.d8.loss_cls: 0.3392, decode.d8.loss_mask: 0.5703, decode.d8.loss_dice: 0.8468, loss: 19.1078, grad_norm: 72.6667 2023-11-22 05:56:54,614 - mmseg - INFO - Iter [53250/160000] lr: 6.355e-06, eta: 17:25:21, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3748, decode.loss_mask: 0.5552, decode.loss_dice: 0.8483, decode.d0.loss_cls: 1.5782, decode.d0.loss_mask: 0.5893, decode.d0.loss_dice: 0.9762, decode.d1.loss_cls: 0.4787, decode.d1.loss_mask: 0.5752, decode.d1.loss_dice: 0.9101, decode.d2.loss_cls: 0.4206, decode.d2.loss_mask: 0.5610, decode.d2.loss_dice: 0.8786, decode.d3.loss_cls: 0.4035, decode.d3.loss_mask: 0.5563, decode.d3.loss_dice: 0.8553, decode.d4.loss_cls: 0.3859, decode.d4.loss_mask: 0.5542, decode.d4.loss_dice: 0.8568, decode.d5.loss_cls: 0.3846, decode.d5.loss_mask: 0.5554, decode.d5.loss_dice: 0.8578, decode.d6.loss_cls: 0.3793, decode.d6.loss_mask: 0.5539, decode.d6.loss_dice: 0.8514, decode.d7.loss_cls: 0.3760, decode.d7.loss_mask: 0.5541, decode.d7.loss_dice: 0.8554, decode.d8.loss_cls: 0.3740, decode.d8.loss_mask: 0.5555, decode.d8.loss_dice: 0.8523, loss: 19.5077, grad_norm: 69.7770 2023-11-22 05:57:23,032 - mmseg - INFO - Iter [53300/160000] lr: 6.352e-06, eta: 17:24:49, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3720, decode.loss_mask: 0.5693, decode.loss_dice: 0.8110, decode.d0.loss_cls: 1.5005, decode.d0.loss_mask: 0.6092, decode.d0.loss_dice: 0.9296, decode.d1.loss_cls: 0.4570, decode.d1.loss_mask: 0.5944, decode.d1.loss_dice: 0.8657, decode.d2.loss_cls: 0.4060, decode.d2.loss_mask: 0.5772, decode.d2.loss_dice: 0.8313, decode.d3.loss_cls: 0.3874, decode.d3.loss_mask: 0.5743, decode.d3.loss_dice: 0.8156, decode.d4.loss_cls: 0.3785, decode.d4.loss_mask: 0.5766, decode.d4.loss_dice: 0.8240, decode.d5.loss_cls: 0.3791, decode.d5.loss_mask: 0.5713, decode.d5.loss_dice: 0.8140, decode.d6.loss_cls: 0.3728, decode.d6.loss_mask: 0.5692, decode.d6.loss_dice: 0.8061, decode.d7.loss_cls: 0.3709, decode.d7.loss_mask: 0.5691, decode.d7.loss_dice: 0.8095, decode.d8.loss_cls: 0.3718, decode.d8.loss_mask: 0.5692, decode.d8.loss_dice: 0.8107, loss: 19.0933, grad_norm: 70.5508 2023-11-22 05:57:51,360 - mmseg - INFO - Iter [53350/160000] lr: 6.349e-06, eta: 17:24:18, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3624, decode.loss_mask: 0.5746, decode.loss_dice: 0.8615, decode.d0.loss_cls: 1.5232, decode.d0.loss_mask: 0.6181, decode.d0.loss_dice: 0.9837, decode.d1.loss_cls: 0.4676, decode.d1.loss_mask: 0.6014, decode.d1.loss_dice: 0.9151, decode.d2.loss_cls: 0.4078, decode.d2.loss_mask: 0.5792, decode.d2.loss_dice: 0.8849, decode.d3.loss_cls: 0.3877, decode.d3.loss_mask: 0.5788, decode.d3.loss_dice: 0.8648, decode.d4.loss_cls: 0.3785, decode.d4.loss_mask: 0.5797, decode.d4.loss_dice: 0.8668, decode.d5.loss_cls: 0.3704, decode.d5.loss_mask: 0.5783, decode.d5.loss_dice: 0.8649, decode.d6.loss_cls: 0.3696, decode.d6.loss_mask: 0.5795, decode.d6.loss_dice: 0.8579, decode.d7.loss_cls: 0.3700, decode.d7.loss_mask: 0.5733, decode.d7.loss_dice: 0.8548, decode.d8.loss_cls: 0.3688, decode.d8.loss_mask: 0.5731, decode.d8.loss_dice: 0.8554, loss: 19.6518, grad_norm: 80.2733 2023-11-22 05:58:19,649 - mmseg - INFO - Iter [53400/160000] lr: 6.346e-06, eta: 17:23:46, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3599, decode.loss_mask: 0.5620, decode.loss_dice: 0.8230, decode.d0.loss_cls: 1.5172, decode.d0.loss_mask: 0.6005, decode.d0.loss_dice: 0.9388, decode.d1.loss_cls: 0.4712, decode.d1.loss_mask: 0.5841, decode.d1.loss_dice: 0.8707, decode.d2.loss_cls: 0.4116, decode.d2.loss_mask: 0.5730, decode.d2.loss_dice: 0.8512, decode.d3.loss_cls: 0.3875, decode.d3.loss_mask: 0.5652, decode.d3.loss_dice: 0.8325, decode.d4.loss_cls: 0.3751, decode.d4.loss_mask: 0.5639, decode.d4.loss_dice: 0.8338, decode.d5.loss_cls: 0.3684, decode.d5.loss_mask: 0.5615, decode.d5.loss_dice: 0.8236, decode.d6.loss_cls: 0.3633, decode.d6.loss_mask: 0.5621, decode.d6.loss_dice: 0.8228, decode.d7.loss_cls: 0.3640, decode.d7.loss_mask: 0.5635, decode.d7.loss_dice: 0.8220, decode.d8.loss_cls: 0.3603, decode.d8.loss_mask: 0.5626, decode.d8.loss_dice: 0.8212, loss: 19.1164, grad_norm: 77.0761 2023-11-22 05:58:48,049 - mmseg - INFO - Iter [53450/160000] lr: 6.343e-06, eta: 17:23:15, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3718, decode.loss_mask: 0.5620, decode.loss_dice: 0.8477, decode.d0.loss_cls: 1.5255, decode.d0.loss_mask: 0.6032, decode.d0.loss_dice: 0.9779, decode.d1.loss_cls: 0.4669, decode.d1.loss_mask: 0.5893, decode.d1.loss_dice: 0.9107, decode.d2.loss_cls: 0.4096, decode.d2.loss_mask: 0.5758, decode.d2.loss_dice: 0.8758, decode.d3.loss_cls: 0.3825, decode.d3.loss_mask: 0.5665, decode.d3.loss_dice: 0.8584, decode.d4.loss_cls: 0.3807, decode.d4.loss_mask: 0.5664, decode.d4.loss_dice: 0.8538, decode.d5.loss_cls: 0.3759, decode.d5.loss_mask: 0.5675, decode.d5.loss_dice: 0.8531, decode.d6.loss_cls: 0.3736, decode.d6.loss_mask: 0.5650, decode.d6.loss_dice: 0.8516, decode.d7.loss_cls: 0.3704, decode.d7.loss_mask: 0.5617, decode.d7.loss_dice: 0.8474, decode.d8.loss_cls: 0.3732, decode.d8.loss_mask: 0.5633, decode.d8.loss_dice: 0.8478, loss: 19.4748, grad_norm: 74.9469 2023-11-22 05:59:16,192 - mmseg - INFO - Iter [53500/160000] lr: 6.340e-06, eta: 17:22:43, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3604, decode.loss_mask: 0.5759, decode.loss_dice: 0.8257, decode.d0.loss_cls: 1.5013, decode.d0.loss_mask: 0.6096, decode.d0.loss_dice: 0.9465, decode.d1.loss_cls: 0.4680, decode.d1.loss_mask: 0.6047, decode.d1.loss_dice: 0.8717, decode.d2.loss_cls: 0.3986, decode.d2.loss_mask: 0.5914, decode.d2.loss_dice: 0.8540, decode.d3.loss_cls: 0.3848, decode.d3.loss_mask: 0.5849, decode.d3.loss_dice: 0.8348, decode.d4.loss_cls: 0.3767, decode.d4.loss_mask: 0.5800, decode.d4.loss_dice: 0.8356, decode.d5.loss_cls: 0.3678, decode.d5.loss_mask: 0.5794, decode.d5.loss_dice: 0.8344, decode.d6.loss_cls: 0.3653, decode.d6.loss_mask: 0.5765, decode.d6.loss_dice: 0.8271, decode.d7.loss_cls: 0.3579, decode.d7.loss_mask: 0.5766, decode.d7.loss_dice: 0.8283, decode.d8.loss_cls: 0.3552, decode.d8.loss_mask: 0.5761, decode.d8.loss_dice: 0.8292, loss: 19.2785, grad_norm: 78.2689 2023-11-22 05:59:44,427 - mmseg - INFO - Iter [53550/160000] lr: 6.337e-06, eta: 17:22:11, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3582, decode.loss_mask: 0.5739, decode.loss_dice: 0.8558, decode.d0.loss_cls: 1.5440, decode.d0.loss_mask: 0.6079, decode.d0.loss_dice: 0.9680, decode.d1.loss_cls: 0.4650, decode.d1.loss_mask: 0.6026, decode.d1.loss_dice: 0.9135, decode.d2.loss_cls: 0.4016, decode.d2.loss_mask: 0.5841, decode.d2.loss_dice: 0.8805, decode.d3.loss_cls: 0.3806, decode.d3.loss_mask: 0.5771, decode.d3.loss_dice: 0.8676, decode.d4.loss_cls: 0.3752, decode.d4.loss_mask: 0.5737, decode.d4.loss_dice: 0.8614, decode.d5.loss_cls: 0.3629, decode.d5.loss_mask: 0.5792, decode.d5.loss_dice: 0.8609, decode.d6.loss_cls: 0.3545, decode.d6.loss_mask: 0.5730, decode.d6.loss_dice: 0.8509, decode.d7.loss_cls: 0.3558, decode.d7.loss_mask: 0.5735, decode.d7.loss_dice: 0.8542, decode.d8.loss_cls: 0.3540, decode.d8.loss_mask: 0.5727, decode.d8.loss_dice: 0.8579, loss: 19.5402, grad_norm: 70.2808 2023-11-22 06:00:13,088 - mmseg - INFO - Iter [53600/160000] lr: 6.334e-06, eta: 17:21:41, time: 0.573, data_time: 0.012, memory: 38143, decode.loss_cls: 0.3620, decode.loss_mask: 0.5656, decode.loss_dice: 0.8175, decode.d0.loss_cls: 1.4981, decode.d0.loss_mask: 0.6007, decode.d0.loss_dice: 0.9321, decode.d1.loss_cls: 0.4585, decode.d1.loss_mask: 0.5859, decode.d1.loss_dice: 0.8642, decode.d2.loss_cls: 0.4053, decode.d2.loss_mask: 0.5743, decode.d2.loss_dice: 0.8414, decode.d3.loss_cls: 0.3783, decode.d3.loss_mask: 0.5680, decode.d3.loss_dice: 0.8178, decode.d4.loss_cls: 0.3752, decode.d4.loss_mask: 0.5638, decode.d4.loss_dice: 0.8163, decode.d5.loss_cls: 0.3715, decode.d5.loss_mask: 0.5638, decode.d5.loss_dice: 0.8166, decode.d6.loss_cls: 0.3699, decode.d6.loss_mask: 0.5646, decode.d6.loss_dice: 0.8168, decode.d7.loss_cls: 0.3594, decode.d7.loss_mask: 0.5656, decode.d7.loss_dice: 0.8195, decode.d8.loss_cls: 0.3588, decode.d8.loss_mask: 0.5665, decode.d8.loss_dice: 0.8189, loss: 19.0167, grad_norm: 71.3810 2023-11-22 06:00:41,363 - mmseg - INFO - Iter [53650/160000] lr: 6.331e-06, eta: 17:21:09, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3704, decode.loss_mask: 0.5697, decode.loss_dice: 0.8324, decode.d0.loss_cls: 1.5096, decode.d0.loss_mask: 0.6083, decode.d0.loss_dice: 0.9564, decode.d1.loss_cls: 0.4659, decode.d1.loss_mask: 0.5969, decode.d1.loss_dice: 0.8894, decode.d2.loss_cls: 0.4056, decode.d2.loss_mask: 0.5824, decode.d2.loss_dice: 0.8627, decode.d3.loss_cls: 0.3817, decode.d3.loss_mask: 0.5751, decode.d3.loss_dice: 0.8393, decode.d4.loss_cls: 0.3760, decode.d4.loss_mask: 0.5720, decode.d4.loss_dice: 0.8388, decode.d5.loss_cls: 0.3725, decode.d5.loss_mask: 0.5732, decode.d5.loss_dice: 0.8366, decode.d6.loss_cls: 0.3741, decode.d6.loss_mask: 0.5732, decode.d6.loss_dice: 0.8298, decode.d7.loss_cls: 0.3718, decode.d7.loss_mask: 0.5705, decode.d7.loss_dice: 0.8365, decode.d8.loss_cls: 0.3704, decode.d8.loss_mask: 0.5691, decode.d8.loss_dice: 0.8332, loss: 19.3436, grad_norm: 71.8050 2023-11-22 06:01:09,677 - mmseg - INFO - Iter [53700/160000] lr: 6.328e-06, eta: 17:20:38, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3544, decode.loss_mask: 0.5818, decode.loss_dice: 0.8240, decode.d0.loss_cls: 1.4987, decode.d0.loss_mask: 0.6205, decode.d0.loss_dice: 0.9459, decode.d1.loss_cls: 0.4518, decode.d1.loss_mask: 0.6076, decode.d1.loss_dice: 0.8869, decode.d2.loss_cls: 0.3948, decode.d2.loss_mask: 0.5944, decode.d2.loss_dice: 0.8512, decode.d3.loss_cls: 0.3712, decode.d3.loss_mask: 0.5885, decode.d3.loss_dice: 0.8342, decode.d4.loss_cls: 0.3629, decode.d4.loss_mask: 0.5870, decode.d4.loss_dice: 0.8312, decode.d5.loss_cls: 0.3576, decode.d5.loss_mask: 0.5872, decode.d5.loss_dice: 0.8340, decode.d6.loss_cls: 0.3550, decode.d6.loss_mask: 0.5824, decode.d6.loss_dice: 0.8223, decode.d7.loss_cls: 0.3557, decode.d7.loss_mask: 0.5829, decode.d7.loss_dice: 0.8260, decode.d8.loss_cls: 0.3539, decode.d8.loss_mask: 0.5824, decode.d8.loss_dice: 0.8236, loss: 19.2499, grad_norm: 77.9060 2023-11-22 06:01:38,129 - mmseg - INFO - Iter [53750/160000] lr: 6.325e-06, eta: 17:20:06, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3725, decode.loss_mask: 0.5710, decode.loss_dice: 0.8345, decode.d0.loss_cls: 1.5182, decode.d0.loss_mask: 0.6166, decode.d0.loss_dice: 0.9572, decode.d1.loss_cls: 0.4766, decode.d1.loss_mask: 0.5930, decode.d1.loss_dice: 0.8858, decode.d2.loss_cls: 0.4089, decode.d2.loss_mask: 0.5842, decode.d2.loss_dice: 0.8630, decode.d3.loss_cls: 0.3922, decode.d3.loss_mask: 0.5756, decode.d3.loss_dice: 0.8417, decode.d4.loss_cls: 0.3838, decode.d4.loss_mask: 0.5705, decode.d4.loss_dice: 0.8430, decode.d5.loss_cls: 0.3772, decode.d5.loss_mask: 0.5740, decode.d5.loss_dice: 0.8426, decode.d6.loss_cls: 0.3789, decode.d6.loss_mask: 0.5709, decode.d6.loss_dice: 0.8352, decode.d7.loss_cls: 0.3741, decode.d7.loss_mask: 0.5702, decode.d7.loss_dice: 0.8351, decode.d8.loss_cls: 0.3729, decode.d8.loss_mask: 0.5712, decode.d8.loss_dice: 0.8357, loss: 19.4264, grad_norm: 72.1287 2023-11-22 06:02:06,452 - mmseg - INFO - Iter [53800/160000] lr: 6.322e-06, eta: 17:19:35, time: 0.566, data_time: 0.015, memory: 38143, decode.loss_cls: 0.3860, decode.loss_mask: 0.5610, decode.loss_dice: 0.8374, decode.d0.loss_cls: 1.5241, decode.d0.loss_mask: 0.5930, decode.d0.loss_dice: 0.9477, decode.d1.loss_cls: 0.4841, decode.d1.loss_mask: 0.5804, decode.d1.loss_dice: 0.8912, decode.d2.loss_cls: 0.4250, decode.d2.loss_mask: 0.5696, decode.d2.loss_dice: 0.8650, decode.d3.loss_cls: 0.4053, decode.d3.loss_mask: 0.5654, decode.d3.loss_dice: 0.8457, decode.d4.loss_cls: 0.4067, decode.d4.loss_mask: 0.5643, decode.d4.loss_dice: 0.8416, decode.d5.loss_cls: 0.3934, decode.d5.loss_mask: 0.5630, decode.d5.loss_dice: 0.8461, decode.d6.loss_cls: 0.3932, decode.d6.loss_mask: 0.5602, decode.d6.loss_dice: 0.8339, decode.d7.loss_cls: 0.3883, decode.d7.loss_mask: 0.5598, decode.d7.loss_dice: 0.8391, decode.d8.loss_cls: 0.3841, decode.d8.loss_mask: 0.5621, decode.d8.loss_dice: 0.8406, loss: 19.4571, grad_norm: 69.1883 2023-11-22 06:02:34,889 - mmseg - INFO - Iter [53850/160000] lr: 6.319e-06, eta: 17:19:04, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3624, decode.loss_mask: 0.5516, decode.loss_dice: 0.8221, decode.d0.loss_cls: 1.5088, decode.d0.loss_mask: 0.5914, decode.d0.loss_dice: 0.9442, decode.d1.loss_cls: 0.4592, decode.d1.loss_mask: 0.5735, decode.d1.loss_dice: 0.8852, decode.d2.loss_cls: 0.4035, decode.d2.loss_mask: 0.5637, decode.d2.loss_dice: 0.8604, decode.d3.loss_cls: 0.3800, decode.d3.loss_mask: 0.5566, decode.d3.loss_dice: 0.8387, decode.d4.loss_cls: 0.3764, decode.d4.loss_mask: 0.5524, decode.d4.loss_dice: 0.8384, decode.d5.loss_cls: 0.3663, decode.d5.loss_mask: 0.5539, decode.d5.loss_dice: 0.8320, decode.d6.loss_cls: 0.3719, decode.d6.loss_mask: 0.5490, decode.d6.loss_dice: 0.8202, decode.d7.loss_cls: 0.3649, decode.d7.loss_mask: 0.5498, decode.d7.loss_dice: 0.8250, decode.d8.loss_cls: 0.3664, decode.d8.loss_mask: 0.5491, decode.d8.loss_dice: 0.8242, loss: 19.0412, grad_norm: 66.0602 2023-11-22 06:03:03,417 - mmseg - INFO - Iter [53900/160000] lr: 6.316e-06, eta: 17:18:33, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3618, decode.loss_mask: 0.5821, decode.loss_dice: 0.8418, decode.d0.loss_cls: 1.4951, decode.d0.loss_mask: 0.6242, decode.d0.loss_dice: 0.9641, decode.d1.loss_cls: 0.4565, decode.d1.loss_mask: 0.6074, decode.d1.loss_dice: 0.8977, decode.d2.loss_cls: 0.4049, decode.d2.loss_mask: 0.5913, decode.d2.loss_dice: 0.8702, decode.d3.loss_cls: 0.3875, decode.d3.loss_mask: 0.5851, decode.d3.loss_dice: 0.8489, decode.d4.loss_cls: 0.3804, decode.d4.loss_mask: 0.5821, decode.d4.loss_dice: 0.8484, decode.d5.loss_cls: 0.3738, decode.d5.loss_mask: 0.5818, decode.d5.loss_dice: 0.8464, decode.d6.loss_cls: 0.3683, decode.d6.loss_mask: 0.5805, decode.d6.loss_dice: 0.8426, decode.d7.loss_cls: 0.3652, decode.d7.loss_mask: 0.5828, decode.d7.loss_dice: 0.8382, decode.d8.loss_cls: 0.3606, decode.d8.loss_mask: 0.5841, decode.d8.loss_dice: 0.8436, loss: 19.4973, grad_norm: 71.9990 2023-11-22 06:03:31,940 - mmseg - INFO - Iter [53950/160000] lr: 6.313e-06, eta: 17:18:02, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3762, decode.loss_mask: 0.5756, decode.loss_dice: 0.8446, decode.d0.loss_cls: 1.5458, decode.d0.loss_mask: 0.6073, decode.d0.loss_dice: 0.9500, decode.d1.loss_cls: 0.4730, decode.d1.loss_mask: 0.5995, decode.d1.loss_dice: 0.8958, decode.d2.loss_cls: 0.4122, decode.d2.loss_mask: 0.5886, decode.d2.loss_dice: 0.8759, decode.d3.loss_cls: 0.3983, decode.d3.loss_mask: 0.5807, decode.d3.loss_dice: 0.8557, decode.d4.loss_cls: 0.3919, decode.d4.loss_mask: 0.5816, decode.d4.loss_dice: 0.8558, decode.d5.loss_cls: 0.3897, decode.d5.loss_mask: 0.5774, decode.d5.loss_dice: 0.8494, decode.d6.loss_cls: 0.3834, decode.d6.loss_mask: 0.5769, decode.d6.loss_dice: 0.8463, decode.d7.loss_cls: 0.3792, decode.d7.loss_mask: 0.5775, decode.d7.loss_dice: 0.8480, decode.d8.loss_cls: 0.3807, decode.d8.loss_mask: 0.5765, decode.d8.loss_dice: 0.8471, loss: 19.6407, grad_norm: 75.4093 2023-11-22 06:04:00,378 - mmseg - INFO - Saving checkpoint at 54000 iterations 2023-11-22 06:04:08,927 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 06:04:08,927 - mmseg - INFO - Iter [54000/160000] lr: 6.310e-06, eta: 17:17:47, time: 0.740, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3774, decode.loss_mask: 0.5855, decode.loss_dice: 0.8504, decode.d0.loss_cls: 1.5103, decode.d0.loss_mask: 0.6257, decode.d0.loss_dice: 0.9766, decode.d1.loss_cls: 0.4623, decode.d1.loss_mask: 0.6123, decode.d1.loss_dice: 0.9119, decode.d2.loss_cls: 0.4192, decode.d2.loss_mask: 0.5968, decode.d2.loss_dice: 0.8829, decode.d3.loss_cls: 0.3914, decode.d3.loss_mask: 0.5905, decode.d3.loss_dice: 0.8625, decode.d4.loss_cls: 0.3856, decode.d4.loss_mask: 0.5856, decode.d4.loss_dice: 0.8592, decode.d5.loss_cls: 0.3783, decode.d5.loss_mask: 0.5880, decode.d5.loss_dice: 0.8617, decode.d6.loss_cls: 0.3869, decode.d6.loss_mask: 0.5845, decode.d6.loss_dice: 0.8468, decode.d7.loss_cls: 0.3752, decode.d7.loss_mask: 0.5876, decode.d7.loss_dice: 0.8479, decode.d8.loss_cls: 0.3792, decode.d8.loss_mask: 0.5846, decode.d8.loss_dice: 0.8498, loss: 19.7567, grad_norm: 75.2673 2023-11-22 06:04:28,453 - mmseg - INFO - per class results: 2023-11-22 06:04:28,459 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.72 | 88.51 | | building | 84.49 | 91.54 | | sky | 95.02 | 97.55 | | floor | 84.31 | 89.75 | | tree | 76.14 | 88.08 | | ceiling | 86.46 | 93.28 | | road | 85.12 | 88.31 | | bed | 91.79 | 95.97 | | windowpane | 63.9 | 80.56 | | grass | 66.85 | 77.78 | | cabinet | 64.01 | 74.31 | | sidewalk | 67.55 | 85.23 | | person | 86.22 | 92.65 | | earth | 37.35 | 51.22 | | door | 53.55 | 73.08 | | table | 68.58 | 82.34 | | mountain | 56.55 | 73.65 | | plant | 53.95 | 67.55 | | curtain | 77.52 | 87.21 | | chair | 66.98 | 77.94 | | car | 87.14 | 93.3 | | water | 53.57 | 67.63 | | painting | 74.24 | 89.24 | | sofa | 77.23 | 88.25 | | shelf | 44.03 | 56.77 | | house | 45.93 | 59.87 | | sea | 60.91 | 93.47 | | mirror | 73.95 | 83.4 | | rug | 67.61 | 83.53 | | field | 31.25 | 61.34 | | armchair | 52.78 | 73.58 | | seat | 66.55 | 88.0 | | fence | 47.82 | 65.25 | | desk | 47.95 | 80.15 | | rock | 52.82 | 68.93 | | wardrobe | 47.98 | 74.52 | | lamp | 70.92 | 82.52 | | bathtub | 79.41 | 85.0 | | railing | 37.9 | 58.76 | | cushion | 68.49 | 77.41 | | base | 29.32 | 62.97 | | box | 34.38 | 43.81 | | column | 53.69 | 73.16 | | signboard | 39.4 | 63.62 | | chest of drawers | 44.21 | 52.71 | | counter | 40.41 | 44.86 | | sand | 36.87 | 50.95 | | sink | 73.05 | 89.38 | | skyscraper | 61.73 | 79.71 | | fireplace | 77.16 | 90.32 | | refrigerator | 83.1 | 90.61 | | grandstand | 45.98 | 77.04 | | path | 22.06 | 47.96 | | stairs | 41.42 | 49.97 | | runway | 75.61 | 95.36 | | case | 59.89 | 82.86 | | pool table | 94.19 | 97.51 | | pillow | 64.0 | 79.61 | | screen door | 67.87 | 78.33 | | stairway | 44.52 | 52.48 | | river | 17.81 | 20.13 | | bridge | 80.74 | 90.96 | | bookcase | 28.59 | 55.93 | | blind | 41.41 | 50.02 | | coffee table | 71.45 | 83.05 | | toilet | 88.57 | 91.52 | | flower | 47.5 | 67.56 | | book | 51.75 | 76.74 | | hill | 8.12 | 13.85 | | bench | 63.45 | 82.41 | | countertop | 65.89 | 77.47 | | stove | 87.12 | 91.57 | | palm | 54.38 | 74.52 | | kitchen island | 42.82 | 74.02 | | computer | 71.74 | 82.24 | | swivel chair | 54.87 | 79.25 | | boat | 39.26 | 57.86 | | bar | 63.12 | 70.41 | | arcade machine | 35.76 | 38.0 | | hovel | 57.07 | 77.54 | | bus | 94.57 | 96.68 | | towel | 73.72 | 90.62 | | light | 60.66 | 78.5 | | truck | 33.7 | 43.48 | | tower | 43.83 | 86.79 | | chandelier | 67.14 | 85.07 | | awning | 43.73 | 66.78 | | streetlight | 45.28 | 64.45 | | booth | 45.67 | 62.57 | | television receiver | 78.31 | 86.61 | | airplane | 70.31 | 75.43 | | dirt track | 22.29 | 33.56 | | apparel | 44.39 | 67.6 | | pole | 37.02 | 60.58 | | land | 5.72 | 9.37 | | bannister | 22.12 | 33.02 | | escalator | 28.71 | 29.54 | | ottoman | 61.54 | 80.5 | | bottle | 38.01 | 48.15 | | buffet | 56.23 | 76.86 | | poster | 32.31 | 63.39 | | stage | 15.85 | 41.55 | | van | 47.3 | 76.49 | | ship | 41.28 | 92.37 | | fountain | 22.83 | 23.46 | | conveyer belt | 73.82 | 93.19 | | canopy | 44.48 | 62.4 | | washer | 71.44 | 73.23 | | plaything | 52.24 | 72.63 | | swimming pool | 68.85 | 70.7 | | stool | 58.58 | 71.38 | | barrel | 28.21 | 97.34 | | basket | 44.09 | 54.83 | | waterfall | 63.27 | 88.47 | | tent | 92.86 | 98.35 | | bag | 25.05 | 34.64 | | minibike | 71.21 | 88.34 | | cradle | 86.86 | 97.56 | | oven | 28.33 | 78.24 | | ball | 31.42 | 34.38 | | food | 63.79 | 72.02 | | step | 27.72 | 43.35 | | tank | 46.51 | 58.03 | | trade name | 14.48 | 17.01 | | microwave | 42.05 | 45.57 | | pot | 52.0 | 62.93 | | animal | 58.22 | 59.69 | | bicycle | 56.85 | 82.76 | | lake | 0.0 | 0.0 | | dishwasher | 79.01 | 83.99 | | screen | 52.03 | 89.95 | | blanket | 34.23 | 42.53 | | sculpture | 66.07 | 88.65 | | hood | 66.6 | 71.17 | | sconce | 60.02 | 76.17 | | vase | 55.43 | 73.86 | | traffic light | 44.47 | 74.84 | | tray | 22.74 | 28.33 | | ashcan | 49.53 | 75.11 | | fan | 68.85 | 83.64 | | pier | 9.01 | 14.03 | | crt screen | 1.12 | 2.75 | | plate | 64.97 | 81.38 | | monitor | 13.57 | 20.96 | | bulletin board | 55.21 | 72.71 | | shower | 5.52 | 29.65 | | radiator | 69.27 | 82.17 | | glass | 24.64 | 26.8 | | clock | 47.95 | 60.55 | | flag | 48.14 | 56.96 | +---------------------+-------+-------+ 2023-11-22 06:04:28,459 - mmseg - INFO - Summary: 2023-11-22 06:04:28,459 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.71 | 53.79 | 68.75 | +-------+-------+-------+ 2023-11-22 06:04:28,460 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 06:04:28,460 - mmseg - INFO - Iter(val) [250] aAcc: 0.8471, mIoU: 0.5379, mAcc: 0.6875, IoU.wall: 0.8072, IoU.building: 0.8449, IoU.sky: 0.9502, IoU.floor: 0.8431, IoU.tree: 0.7614, IoU.ceiling: 0.8646, IoU.road: 0.8512, IoU.bed : 0.9179, IoU.windowpane: 0.6390, IoU.grass: 0.6685, IoU.cabinet: 0.6401, IoU.sidewalk: 0.6755, IoU.person: 0.8622, IoU.earth: 0.3735, IoU.door: 0.5355, IoU.table: 0.6858, IoU.mountain: 0.5655, IoU.plant: 0.5395, IoU.curtain: 0.7752, IoU.chair: 0.6698, IoU.car: 0.8714, IoU.water: 0.5357, IoU.painting: 0.7424, IoU.sofa: 0.7723, IoU.shelf: 0.4403, IoU.house: 0.4593, IoU.sea: 0.6091, IoU.mirror: 0.7395, IoU.rug: 0.6761, IoU.field: 0.3125, IoU.armchair: 0.5278, IoU.seat: 0.6655, IoU.fence: 0.4782, IoU.desk: 0.4795, IoU.rock: 0.5282, IoU.wardrobe: 0.4798, IoU.lamp: 0.7092, IoU.bathtub: 0.7941, IoU.railing: 0.3790, IoU.cushion: 0.6849, IoU.base: 0.2932, IoU.box: 0.3438, IoU.column: 0.5369, IoU.signboard: 0.3940, IoU.chest of drawers: 0.4421, IoU.counter: 0.4041, IoU.sand: 0.3687, IoU.sink: 0.7305, IoU.skyscraper: 0.6173, IoU.fireplace: 0.7716, IoU.refrigerator: 0.8310, IoU.grandstand: 0.4598, IoU.path: 0.2206, IoU.stairs: 0.4142, IoU.runway: 0.7561, IoU.case: 0.5989, IoU.pool table: 0.9419, IoU.pillow: 0.6400, IoU.screen door: 0.6787, IoU.stairway: 0.4452, IoU.river: 0.1781, IoU.bridge: 0.8074, IoU.bookcase: 0.2859, IoU.blind: 0.4141, IoU.coffee table: 0.7145, IoU.toilet: 0.8857, IoU.flower: 0.4750, IoU.book: 0.5175, IoU.hill: 0.0812, IoU.bench: 0.6345, IoU.countertop: 0.6589, IoU.stove: 0.8712, IoU.palm: 0.5438, IoU.kitchen island: 0.4282, IoU.computer: 0.7174, IoU.swivel chair: 0.5487, IoU.boat: 0.3926, IoU.bar: 0.6312, IoU.arcade machine: 0.3576, IoU.hovel: 0.5707, IoU.bus: 0.9457, IoU.towel: 0.7372, IoU.light: 0.6066, IoU.truck: 0.3370, IoU.tower: 0.4383, IoU.chandelier: 0.6714, IoU.awning: 0.4373, IoU.streetlight: 0.4528, IoU.booth: 0.4567, IoU.television receiver: 0.7831, IoU.airplane: 0.7031, IoU.dirt track: 0.2229, IoU.apparel: 0.4439, IoU.pole: 0.3702, IoU.land: 0.0572, IoU.bannister: 0.2212, IoU.escalator: 0.2871, IoU.ottoman: 0.6154, IoU.bottle: 0.3801, IoU.buffet: 0.5623, IoU.poster: 0.3231, IoU.stage: 0.1585, IoU.van: 0.4730, IoU.ship: 0.4128, IoU.fountain: 0.2283, IoU.conveyer belt: 0.7382, IoU.canopy: 0.4448, IoU.washer: 0.7144, IoU.plaything: 0.5224, IoU.swimming pool: 0.6885, IoU.stool: 0.5858, IoU.barrel: 0.2821, IoU.basket: 0.4409, IoU.waterfall: 0.6327, IoU.tent: 0.9286, IoU.bag: 0.2505, IoU.minibike: 0.7121, IoU.cradle: 0.8686, IoU.oven: 0.2833, IoU.ball: 0.3142, IoU.food: 0.6379, IoU.step: 0.2772, IoU.tank: 0.4651, IoU.trade name: 0.1448, IoU.microwave: 0.4205, IoU.pot: 0.5200, IoU.animal: 0.5822, IoU.bicycle: 0.5685, IoU.lake: 0.0000, IoU.dishwasher: 0.7901, IoU.screen: 0.5203, IoU.blanket: 0.3423, IoU.sculpture: 0.6607, IoU.hood: 0.6660, IoU.sconce: 0.6002, IoU.vase: 0.5543, IoU.traffic light: 0.4447, IoU.tray: 0.2274, IoU.ashcan: 0.4953, IoU.fan: 0.6885, IoU.pier: 0.0901, IoU.crt screen: 0.0112, IoU.plate: 0.6497, IoU.monitor: 0.1357, IoU.bulletin board: 0.5521, IoU.shower: 0.0552, IoU.radiator: 0.6927, IoU.glass: 0.2464, IoU.clock: 0.4795, IoU.flag: 0.4814, Acc.wall: 0.8851, Acc.building: 0.9154, Acc.sky: 0.9755, Acc.floor: 0.8975, Acc.tree: 0.8808, Acc.ceiling: 0.9328, Acc.road: 0.8831, Acc.bed : 0.9597, Acc.windowpane: 0.8056, Acc.grass: 0.7778, Acc.cabinet: 0.7431, Acc.sidewalk: 0.8523, Acc.person: 0.9265, Acc.earth: 0.5122, Acc.door: 0.7308, Acc.table: 0.8234, Acc.mountain: 0.7365, Acc.plant: 0.6755, Acc.curtain: 0.8721, Acc.chair: 0.7794, Acc.car: 0.9330, Acc.water: 0.6763, Acc.painting: 0.8924, Acc.sofa: 0.8825, Acc.shelf: 0.5677, Acc.house: 0.5987, Acc.sea: 0.9347, Acc.mirror: 0.8340, Acc.rug: 0.8353, Acc.field: 0.6134, Acc.armchair: 0.7358, Acc.seat: 0.8800, Acc.fence: 0.6525, Acc.desk: 0.8015, Acc.rock: 0.6893, Acc.wardrobe: 0.7452, Acc.lamp: 0.8252, Acc.bathtub: 0.8500, Acc.railing: 0.5876, Acc.cushion: 0.7741, Acc.base: 0.6297, Acc.box: 0.4381, Acc.column: 0.7316, Acc.signboard: 0.6362, Acc.chest of drawers: 0.5271, Acc.counter: 0.4486, Acc.sand: 0.5095, Acc.sink: 0.8938, Acc.skyscraper: 0.7971, Acc.fireplace: 0.9032, Acc.refrigerator: 0.9061, Acc.grandstand: 0.7704, Acc.path: 0.4796, Acc.stairs: 0.4997, Acc.runway: 0.9536, Acc.case: 0.8286, Acc.pool table: 0.9751, Acc.pillow: 0.7961, Acc.screen door: 0.7833, Acc.stairway: 0.5248, Acc.river: 0.2013, Acc.bridge: 0.9096, Acc.bookcase: 0.5593, Acc.blind: 0.5002, Acc.coffee table: 0.8305, Acc.toilet: 0.9152, Acc.flower: 0.6756, Acc.book: 0.7674, Acc.hill: 0.1385, Acc.bench: 0.8241, Acc.countertop: 0.7747, Acc.stove: 0.9157, Acc.palm: 0.7452, Acc.kitchen island: 0.7402, Acc.computer: 0.8224, Acc.swivel chair: 0.7925, Acc.boat: 0.5786, Acc.bar: 0.7041, Acc.arcade machine: 0.3800, Acc.hovel: 0.7754, Acc.bus: 0.9668, Acc.towel: 0.9062, Acc.light: 0.7850, Acc.truck: 0.4348, Acc.tower: 0.8679, Acc.chandelier: 0.8507, Acc.awning: 0.6678, Acc.streetlight: 0.6445, Acc.booth: 0.6257, Acc.television receiver: 0.8661, Acc.airplane: 0.7543, Acc.dirt track: 0.3356, Acc.apparel: 0.6760, Acc.pole: 0.6058, Acc.land: 0.0937, Acc.bannister: 0.3302, Acc.escalator: 0.2954, Acc.ottoman: 0.8050, Acc.bottle: 0.4815, Acc.buffet: 0.7686, Acc.poster: 0.6339, Acc.stage: 0.4155, Acc.van: 0.7649, Acc.ship: 0.9237, Acc.fountain: 0.2346, Acc.conveyer belt: 0.9319, Acc.canopy: 0.6240, Acc.washer: 0.7323, Acc.plaything: 0.7263, Acc.swimming pool: 0.7070, Acc.stool: 0.7138, Acc.barrel: 0.9734, Acc.basket: 0.5483, Acc.waterfall: 0.8847, Acc.tent: 0.9835, Acc.bag: 0.3464, Acc.minibike: 0.8834, Acc.cradle: 0.9756, Acc.oven: 0.7824, Acc.ball: 0.3438, Acc.food: 0.7202, Acc.step: 0.4335, Acc.tank: 0.5803, Acc.trade name: 0.1701, Acc.microwave: 0.4557, Acc.pot: 0.6293, Acc.animal: 0.5969, Acc.bicycle: 0.8276, Acc.lake: 0.0000, Acc.dishwasher: 0.8399, Acc.screen: 0.8995, Acc.blanket: 0.4253, Acc.sculpture: 0.8865, Acc.hood: 0.7117, Acc.sconce: 0.7617, Acc.vase: 0.7386, Acc.traffic light: 0.7484, Acc.tray: 0.2833, Acc.ashcan: 0.7511, Acc.fan: 0.8364, Acc.pier: 0.1403, Acc.crt screen: 0.0275, Acc.plate: 0.8138, Acc.monitor: 0.2096, Acc.bulletin board: 0.7271, Acc.shower: 0.2965, Acc.radiator: 0.8217, Acc.glass: 0.2680, Acc.clock: 0.6055, Acc.flag: 0.5696 2023-11-22 06:04:56,888 - mmseg - INFO - Iter [54050/160000] lr: 6.307e-06, eta: 17:17:54, time: 0.959, data_time: 0.404, memory: 38143, decode.loss_cls: 0.3662, decode.loss_mask: 0.5551, decode.loss_dice: 0.8018, decode.d0.loss_cls: 1.5336, decode.d0.loss_mask: 0.5954, decode.d0.loss_dice: 0.9289, decode.d1.loss_cls: 0.4674, decode.d1.loss_mask: 0.5756, decode.d1.loss_dice: 0.8524, decode.d2.loss_cls: 0.4089, decode.d2.loss_mask: 0.5632, decode.d2.loss_dice: 0.8205, decode.d3.loss_cls: 0.3874, decode.d3.loss_mask: 0.5566, decode.d3.loss_dice: 0.8065, decode.d4.loss_cls: 0.3831, decode.d4.loss_mask: 0.5590, decode.d4.loss_dice: 0.8102, decode.d5.loss_cls: 0.3763, decode.d5.loss_mask: 0.5575, decode.d5.loss_dice: 0.8063, decode.d6.loss_cls: 0.3762, decode.d6.loss_mask: 0.5594, decode.d6.loss_dice: 0.7997, decode.d7.loss_cls: 0.3662, decode.d7.loss_mask: 0.5587, decode.d7.loss_dice: 0.8034, decode.d8.loss_cls: 0.3662, decode.d8.loss_mask: 0.5560, decode.d8.loss_dice: 0.8047, loss: 18.9023, grad_norm: 76.0257 2023-11-22 06:05:25,423 - mmseg - INFO - Iter [54100/160000] lr: 6.304e-06, eta: 17:17:23, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3934, decode.loss_mask: 0.5592, decode.loss_dice: 0.8224, decode.d0.loss_cls: 1.5487, decode.d0.loss_mask: 0.5977, decode.d0.loss_dice: 0.9488, decode.d1.loss_cls: 0.4933, decode.d1.loss_mask: 0.5781, decode.d1.loss_dice: 0.8776, decode.d2.loss_cls: 0.4276, decode.d2.loss_mask: 0.5705, decode.d2.loss_dice: 0.8422, decode.d3.loss_cls: 0.4042, decode.d3.loss_mask: 0.5622, decode.d3.loss_dice: 0.8321, decode.d4.loss_cls: 0.4011, decode.d4.loss_mask: 0.5592, decode.d4.loss_dice: 0.8344, decode.d5.loss_cls: 0.3998, decode.d5.loss_mask: 0.5616, decode.d5.loss_dice: 0.8271, decode.d6.loss_cls: 0.3917, decode.d6.loss_mask: 0.5576, decode.d6.loss_dice: 0.8210, decode.d7.loss_cls: 0.3841, decode.d7.loss_mask: 0.5583, decode.d7.loss_dice: 0.8218, decode.d8.loss_cls: 0.3906, decode.d8.loss_mask: 0.5569, decode.d8.loss_dice: 0.8227, loss: 19.3458, grad_norm: 75.2292 2023-11-22 06:05:54,011 - mmseg - INFO - Iter [54150/160000] lr: 6.301e-06, eta: 17:16:52, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3895, decode.loss_mask: 0.5635, decode.loss_dice: 0.8485, decode.d0.loss_cls: 1.5195, decode.d0.loss_mask: 0.6002, decode.d0.loss_dice: 0.9725, decode.d1.loss_cls: 0.4854, decode.d1.loss_mask: 0.5866, decode.d1.loss_dice: 0.9161, decode.d2.loss_cls: 0.4258, decode.d2.loss_mask: 0.5764, decode.d2.loss_dice: 0.8761, decode.d3.loss_cls: 0.4002, decode.d3.loss_mask: 0.5728, decode.d3.loss_dice: 0.8617, decode.d4.loss_cls: 0.3950, decode.d4.loss_mask: 0.5659, decode.d4.loss_dice: 0.8535, decode.d5.loss_cls: 0.3854, decode.d5.loss_mask: 0.5688, decode.d5.loss_dice: 0.8617, decode.d6.loss_cls: 0.3949, decode.d6.loss_mask: 0.5638, decode.d6.loss_dice: 0.8504, decode.d7.loss_cls: 0.3861, decode.d7.loss_mask: 0.5627, decode.d7.loss_dice: 0.8493, decode.d8.loss_cls: 0.3896, decode.d8.loss_mask: 0.5650, decode.d8.loss_dice: 0.8446, loss: 19.6314, grad_norm: 72.6883 2023-11-22 06:06:22,571 - mmseg - INFO - Iter [54200/160000] lr: 6.298e-06, eta: 17:16:21, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3687, decode.loss_mask: 0.5601, decode.loss_dice: 0.8512, decode.d0.loss_cls: 1.5503, decode.d0.loss_mask: 0.5943, decode.d0.loss_dice: 0.9681, decode.d1.loss_cls: 0.4675, decode.d1.loss_mask: 0.5834, decode.d1.loss_dice: 0.8965, decode.d2.loss_cls: 0.4107, decode.d2.loss_mask: 0.5671, decode.d2.loss_dice: 0.8721, decode.d3.loss_cls: 0.3841, decode.d3.loss_mask: 0.5630, decode.d3.loss_dice: 0.8554, decode.d4.loss_cls: 0.3716, decode.d4.loss_mask: 0.5640, decode.d4.loss_dice: 0.8568, decode.d5.loss_cls: 0.3755, decode.d5.loss_mask: 0.5621, decode.d5.loss_dice: 0.8539, decode.d6.loss_cls: 0.3670, decode.d6.loss_mask: 0.5616, decode.d6.loss_dice: 0.8562, decode.d7.loss_cls: 0.3632, decode.d7.loss_mask: 0.5611, decode.d7.loss_dice: 0.8508, decode.d8.loss_cls: 0.3687, decode.d8.loss_mask: 0.5599, decode.d8.loss_dice: 0.8544, loss: 19.4194, grad_norm: 68.2051 2023-11-22 06:06:50,690 - mmseg - INFO - Iter [54250/160000] lr: 6.295e-06, eta: 17:15:50, time: 0.562, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3822, decode.loss_mask: 0.5731, decode.loss_dice: 0.8339, decode.d0.loss_cls: 1.5644, decode.d0.loss_mask: 0.6167, decode.d0.loss_dice: 0.9555, decode.d1.loss_cls: 0.4913, decode.d1.loss_mask: 0.5930, decode.d1.loss_dice: 0.8888, decode.d2.loss_cls: 0.4303, decode.d2.loss_mask: 0.5812, decode.d2.loss_dice: 0.8588, decode.d3.loss_cls: 0.4023, decode.d3.loss_mask: 0.5780, decode.d3.loss_dice: 0.8495, decode.d4.loss_cls: 0.3975, decode.d4.loss_mask: 0.5739, decode.d4.loss_dice: 0.8524, decode.d5.loss_cls: 0.3903, decode.d5.loss_mask: 0.5754, decode.d5.loss_dice: 0.8451, decode.d6.loss_cls: 0.3881, decode.d6.loss_mask: 0.5714, decode.d6.loss_dice: 0.8398, decode.d7.loss_cls: 0.3855, decode.d7.loss_mask: 0.5730, decode.d7.loss_dice: 0.8406, decode.d8.loss_cls: 0.3806, decode.d8.loss_mask: 0.5737, decode.d8.loss_dice: 0.8384, loss: 19.6244, grad_norm: 70.8091 2023-11-22 06:07:19,002 - mmseg - INFO - Iter [54300/160000] lr: 6.292e-06, eta: 17:15:18, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3607, decode.loss_mask: 0.5546, decode.loss_dice: 0.8319, decode.d0.loss_cls: 1.5139, decode.d0.loss_mask: 0.5958, decode.d0.loss_dice: 0.9403, decode.d1.loss_cls: 0.4586, decode.d1.loss_mask: 0.5743, decode.d1.loss_dice: 0.8818, decode.d2.loss_cls: 0.3944, decode.d2.loss_mask: 0.5674, decode.d2.loss_dice: 0.8538, decode.d3.loss_cls: 0.3704, decode.d3.loss_mask: 0.5614, decode.d3.loss_dice: 0.8397, decode.d4.loss_cls: 0.3653, decode.d4.loss_mask: 0.5578, decode.d4.loss_dice: 0.8393, decode.d5.loss_cls: 0.3679, decode.d5.loss_mask: 0.5509, decode.d5.loss_dice: 0.8390, decode.d6.loss_cls: 0.3606, decode.d6.loss_mask: 0.5526, decode.d6.loss_dice: 0.8305, decode.d7.loss_cls: 0.3549, decode.d7.loss_mask: 0.5563, decode.d7.loss_dice: 0.8310, decode.d8.loss_cls: 0.3589, decode.d8.loss_mask: 0.5543, decode.d8.loss_dice: 0.8332, loss: 19.0513, grad_norm: 69.3673 2023-11-22 06:07:49,659 - mmseg - INFO - Iter [54350/160000] lr: 6.289e-06, eta: 17:14:51, time: 0.613, data_time: 0.059, memory: 38143, decode.loss_cls: 0.3644, decode.loss_mask: 0.5692, decode.loss_dice: 0.8275, decode.d0.loss_cls: 1.5274, decode.d0.loss_mask: 0.6126, decode.d0.loss_dice: 0.9471, decode.d1.loss_cls: 0.4652, decode.d1.loss_mask: 0.5997, decode.d1.loss_dice: 0.8859, decode.d2.loss_cls: 0.4099, decode.d2.loss_mask: 0.5868, decode.d2.loss_dice: 0.8599, decode.d3.loss_cls: 0.3880, decode.d3.loss_mask: 0.5771, decode.d3.loss_dice: 0.8431, decode.d4.loss_cls: 0.3738, decode.d4.loss_mask: 0.5761, decode.d4.loss_dice: 0.8448, decode.d5.loss_cls: 0.3711, decode.d5.loss_mask: 0.5754, decode.d5.loss_dice: 0.8388, decode.d6.loss_cls: 0.3591, decode.d6.loss_mask: 0.5732, decode.d6.loss_dice: 0.8340, decode.d7.loss_cls: 0.3596, decode.d7.loss_mask: 0.5742, decode.d7.loss_dice: 0.8345, decode.d8.loss_cls: 0.3621, decode.d8.loss_mask: 0.5709, decode.d8.loss_dice: 0.8300, loss: 19.3413, grad_norm: 70.2955 2023-11-22 06:08:17,866 - mmseg - INFO - Iter [54400/160000] lr: 6.286e-06, eta: 17:14:20, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3702, decode.loss_mask: 0.5453, decode.loss_dice: 0.8246, decode.d0.loss_cls: 1.5167, decode.d0.loss_mask: 0.5802, decode.d0.loss_dice: 0.9523, decode.d1.loss_cls: 0.4675, decode.d1.loss_mask: 0.5715, decode.d1.loss_dice: 0.8800, decode.d2.loss_cls: 0.4158, decode.d2.loss_mask: 0.5585, decode.d2.loss_dice: 0.8587, decode.d3.loss_cls: 0.3948, decode.d3.loss_mask: 0.5539, decode.d3.loss_dice: 0.8362, decode.d4.loss_cls: 0.3829, decode.d4.loss_mask: 0.5488, decode.d4.loss_dice: 0.8356, decode.d5.loss_cls: 0.3827, decode.d5.loss_mask: 0.5481, decode.d5.loss_dice: 0.8331, decode.d6.loss_cls: 0.3814, decode.d6.loss_mask: 0.5458, decode.d6.loss_dice: 0.8270, decode.d7.loss_cls: 0.3712, decode.d7.loss_mask: 0.5471, decode.d7.loss_dice: 0.8285, decode.d8.loss_cls: 0.3709, decode.d8.loss_mask: 0.5477, decode.d8.loss_dice: 0.8267, loss: 19.1035, grad_norm: 74.9359 2023-11-22 06:08:46,548 - mmseg - INFO - Iter [54450/160000] lr: 6.283e-06, eta: 17:13:49, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3621, decode.loss_mask: 0.5658, decode.loss_dice: 0.8580, decode.d0.loss_cls: 1.5651, decode.d0.loss_mask: 0.6049, decode.d0.loss_dice: 0.9644, decode.d1.loss_cls: 0.4744, decode.d1.loss_mask: 0.5894, decode.d1.loss_dice: 0.9053, decode.d2.loss_cls: 0.4049, decode.d2.loss_mask: 0.5749, decode.d2.loss_dice: 0.8825, decode.d3.loss_cls: 0.3904, decode.d3.loss_mask: 0.5692, decode.d3.loss_dice: 0.8701, decode.d4.loss_cls: 0.3754, decode.d4.loss_mask: 0.5674, decode.d4.loss_dice: 0.8663, decode.d5.loss_cls: 0.3714, decode.d5.loss_mask: 0.5695, decode.d5.loss_dice: 0.8617, decode.d6.loss_cls: 0.3707, decode.d6.loss_mask: 0.5669, decode.d6.loss_dice: 0.8564, decode.d7.loss_cls: 0.3668, decode.d7.loss_mask: 0.5674, decode.d7.loss_dice: 0.8611, decode.d8.loss_cls: 0.3654, decode.d8.loss_mask: 0.5672, decode.d8.loss_dice: 0.8588, loss: 19.5739, grad_norm: 72.7295 2023-11-22 06:09:14,791 - mmseg - INFO - Iter [54500/160000] lr: 6.281e-06, eta: 17:13:17, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3444, decode.loss_mask: 0.5766, decode.loss_dice: 0.8167, decode.d0.loss_cls: 1.4420, decode.d0.loss_mask: 0.6188, decode.d0.loss_dice: 0.9206, decode.d1.loss_cls: 0.4272, decode.d1.loss_mask: 0.5981, decode.d1.loss_dice: 0.8704, decode.d2.loss_cls: 0.3818, decode.d2.loss_mask: 0.5832, decode.d2.loss_dice: 0.8428, decode.d3.loss_cls: 0.3592, decode.d3.loss_mask: 0.5818, decode.d3.loss_dice: 0.8304, decode.d4.loss_cls: 0.3480, decode.d4.loss_mask: 0.5798, decode.d4.loss_dice: 0.8288, decode.d5.loss_cls: 0.3486, decode.d5.loss_mask: 0.5772, decode.d5.loss_dice: 0.8244, decode.d6.loss_cls: 0.3444, decode.d6.loss_mask: 0.5756, decode.d6.loss_dice: 0.8219, decode.d7.loss_cls: 0.3414, decode.d7.loss_mask: 0.5739, decode.d7.loss_dice: 0.8220, decode.d8.loss_cls: 0.3411, decode.d8.loss_mask: 0.5757, decode.d8.loss_dice: 0.8247, loss: 18.9216, grad_norm: 70.9482 2023-11-22 06:09:43,049 - mmseg - INFO - Iter [54550/160000] lr: 6.278e-06, eta: 17:12:46, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3804, decode.loss_mask: 0.5737, decode.loss_dice: 0.8460, decode.d0.loss_cls: 1.5344, decode.d0.loss_mask: 0.6083, decode.d0.loss_dice: 0.9728, decode.d1.loss_cls: 0.4795, decode.d1.loss_mask: 0.5942, decode.d1.loss_dice: 0.9099, decode.d2.loss_cls: 0.4265, decode.d2.loss_mask: 0.5793, decode.d2.loss_dice: 0.8803, decode.d3.loss_cls: 0.4030, decode.d3.loss_mask: 0.5746, decode.d3.loss_dice: 0.8598, decode.d4.loss_cls: 0.3935, decode.d4.loss_mask: 0.5774, decode.d4.loss_dice: 0.8607, decode.d5.loss_cls: 0.3875, decode.d5.loss_mask: 0.5727, decode.d5.loss_dice: 0.8591, decode.d6.loss_cls: 0.3862, decode.d6.loss_mask: 0.5691, decode.d6.loss_dice: 0.8497, decode.d7.loss_cls: 0.3763, decode.d7.loss_mask: 0.5739, decode.d7.loss_dice: 0.8493, decode.d8.loss_cls: 0.3777, decode.d8.loss_mask: 0.5727, decode.d8.loss_dice: 0.8502, loss: 19.6787, grad_norm: 73.2348 2023-11-22 06:10:11,398 - mmseg - INFO - Iter [54600/160000] lr: 6.275e-06, eta: 17:12:14, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3629, decode.loss_mask: 0.5331, decode.loss_dice: 0.8147, decode.d0.loss_cls: 1.5298, decode.d0.loss_mask: 0.5675, decode.d0.loss_dice: 0.9457, decode.d1.loss_cls: 0.4738, decode.d1.loss_mask: 0.5484, decode.d1.loss_dice: 0.8680, decode.d2.loss_cls: 0.4033, decode.d2.loss_mask: 0.5342, decode.d2.loss_dice: 0.8345, decode.d3.loss_cls: 0.3824, decode.d3.loss_mask: 0.5339, decode.d3.loss_dice: 0.8179, decode.d4.loss_cls: 0.3747, decode.d4.loss_mask: 0.5327, decode.d4.loss_dice: 0.8190, decode.d5.loss_cls: 0.3720, decode.d5.loss_mask: 0.5328, decode.d5.loss_dice: 0.8211, decode.d6.loss_cls: 0.3659, decode.d6.loss_mask: 0.5309, decode.d6.loss_dice: 0.8173, decode.d7.loss_cls: 0.3614, decode.d7.loss_mask: 0.5331, decode.d7.loss_dice: 0.8134, decode.d8.loss_cls: 0.3650, decode.d8.loss_mask: 0.5313, decode.d8.loss_dice: 0.8161, loss: 18.7369, grad_norm: 72.4676 2023-11-22 06:10:39,840 - mmseg - INFO - Iter [54650/160000] lr: 6.272e-06, eta: 17:11:43, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3681, decode.loss_mask: 0.5946, decode.loss_dice: 0.8648, decode.d0.loss_cls: 1.5118, decode.d0.loss_mask: 0.6247, decode.d0.loss_dice: 0.9680, decode.d1.loss_cls: 0.4752, decode.d1.loss_mask: 0.6133, decode.d1.loss_dice: 0.9108, decode.d2.loss_cls: 0.4127, decode.d2.loss_mask: 0.5963, decode.d2.loss_dice: 0.8852, decode.d3.loss_cls: 0.3911, decode.d3.loss_mask: 0.5946, decode.d3.loss_dice: 0.8709, decode.d4.loss_cls: 0.3828, decode.d4.loss_mask: 0.5946, decode.d4.loss_dice: 0.8709, decode.d5.loss_cls: 0.3778, decode.d5.loss_mask: 0.5921, decode.d5.loss_dice: 0.8679, decode.d6.loss_cls: 0.3772, decode.d6.loss_mask: 0.5908, decode.d6.loss_dice: 0.8663, decode.d7.loss_cls: 0.3767, decode.d7.loss_mask: 0.5928, decode.d7.loss_dice: 0.8655, decode.d8.loss_cls: 0.3685, decode.d8.loss_mask: 0.5930, decode.d8.loss_dice: 0.8649, loss: 19.8639, grad_norm: 80.7450 2023-11-22 06:11:08,173 - mmseg - INFO - Iter [54700/160000] lr: 6.269e-06, eta: 17:11:12, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3566, decode.loss_mask: 0.5864, decode.loss_dice: 0.8397, decode.d0.loss_cls: 1.5008, decode.d0.loss_mask: 0.6260, decode.d0.loss_dice: 0.9540, decode.d1.loss_cls: 0.4492, decode.d1.loss_mask: 0.6202, decode.d1.loss_dice: 0.8933, decode.d2.loss_cls: 0.4007, decode.d2.loss_mask: 0.6012, decode.d2.loss_dice: 0.8650, decode.d3.loss_cls: 0.3784, decode.d3.loss_mask: 0.5950, decode.d3.loss_dice: 0.8427, decode.d4.loss_cls: 0.3638, decode.d4.loss_mask: 0.5960, decode.d4.loss_dice: 0.8495, decode.d5.loss_cls: 0.3622, decode.d5.loss_mask: 0.5924, decode.d5.loss_dice: 0.8487, decode.d6.loss_cls: 0.3655, decode.d6.loss_mask: 0.5892, decode.d6.loss_dice: 0.8397, decode.d7.loss_cls: 0.3589, decode.d7.loss_mask: 0.5903, decode.d7.loss_dice: 0.8430, decode.d8.loss_cls: 0.3559, decode.d8.loss_mask: 0.5872, decode.d8.loss_dice: 0.8380, loss: 19.4894, grad_norm: 80.5552 2023-11-22 06:11:36,653 - mmseg - INFO - Iter [54750/160000] lr: 6.266e-06, eta: 17:10:41, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3807, decode.loss_mask: 0.5787, decode.loss_dice: 0.8553, decode.d0.loss_cls: 1.5565, decode.d0.loss_mask: 0.6188, decode.d0.loss_dice: 0.9713, decode.d1.loss_cls: 0.4775, decode.d1.loss_mask: 0.6112, decode.d1.loss_dice: 0.9129, decode.d2.loss_cls: 0.4132, decode.d2.loss_mask: 0.5913, decode.d2.loss_dice: 0.8832, decode.d3.loss_cls: 0.3987, decode.d3.loss_mask: 0.5840, decode.d3.loss_dice: 0.8674, decode.d4.loss_cls: 0.3893, decode.d4.loss_mask: 0.5846, decode.d4.loss_dice: 0.8633, decode.d5.loss_cls: 0.3803, decode.d5.loss_mask: 0.5840, decode.d5.loss_dice: 0.8642, decode.d6.loss_cls: 0.3802, decode.d6.loss_mask: 0.5818, decode.d6.loss_dice: 0.8559, decode.d7.loss_cls: 0.3798, decode.d7.loss_mask: 0.5811, decode.d7.loss_dice: 0.8558, decode.d8.loss_cls: 0.3795, decode.d8.loss_mask: 0.5806, decode.d8.loss_dice: 0.8564, loss: 19.8173, grad_norm: 79.9192 2023-11-22 06:12:04,977 - mmseg - INFO - Iter [54800/160000] lr: 6.263e-06, eta: 17:10:09, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3677, decode.loss_mask: 0.5643, decode.loss_dice: 0.8376, decode.d0.loss_cls: 1.5011, decode.d0.loss_mask: 0.6041, decode.d0.loss_dice: 0.9522, decode.d1.loss_cls: 0.4647, decode.d1.loss_mask: 0.5859, decode.d1.loss_dice: 0.8955, decode.d2.loss_cls: 0.3990, decode.d2.loss_mask: 0.5772, decode.d2.loss_dice: 0.8641, decode.d3.loss_cls: 0.3855, decode.d3.loss_mask: 0.5686, decode.d3.loss_dice: 0.8455, decode.d4.loss_cls: 0.3796, decode.d4.loss_mask: 0.5666, decode.d4.loss_dice: 0.8470, decode.d5.loss_cls: 0.3724, decode.d5.loss_mask: 0.5641, decode.d5.loss_dice: 0.8414, decode.d6.loss_cls: 0.3680, decode.d6.loss_mask: 0.5645, decode.d6.loss_dice: 0.8395, decode.d7.loss_cls: 0.3728, decode.d7.loss_mask: 0.5653, decode.d7.loss_dice: 0.8376, decode.d8.loss_cls: 0.3673, decode.d8.loss_mask: 0.5654, decode.d8.loss_dice: 0.8371, loss: 19.3015, grad_norm: 72.9184 2023-11-22 06:12:33,199 - mmseg - INFO - Iter [54850/160000] lr: 6.260e-06, eta: 17:09:38, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3406, decode.loss_mask: 0.5414, decode.loss_dice: 0.8033, decode.d0.loss_cls: 1.4884, decode.d0.loss_mask: 0.5747, decode.d0.loss_dice: 0.9197, decode.d1.loss_cls: 0.4412, decode.d1.loss_mask: 0.5579, decode.d1.loss_dice: 0.8601, decode.d2.loss_cls: 0.3757, decode.d2.loss_mask: 0.5469, decode.d2.loss_dice: 0.8316, decode.d3.loss_cls: 0.3564, decode.d3.loss_mask: 0.5441, decode.d3.loss_dice: 0.8153, decode.d4.loss_cls: 0.3498, decode.d4.loss_mask: 0.5420, decode.d4.loss_dice: 0.8126, decode.d5.loss_cls: 0.3421, decode.d5.loss_mask: 0.5418, decode.d5.loss_dice: 0.8086, decode.d6.loss_cls: 0.3470, decode.d6.loss_mask: 0.5381, decode.d6.loss_dice: 0.8037, decode.d7.loss_cls: 0.3390, decode.d7.loss_mask: 0.5401, decode.d7.loss_dice: 0.8042, decode.d8.loss_cls: 0.3395, decode.d8.loss_mask: 0.5407, decode.d8.loss_dice: 0.8065, loss: 18.4530, grad_norm: 69.1774 2023-11-22 06:13:01,563 - mmseg - INFO - Iter [54900/160000] lr: 6.257e-06, eta: 17:09:06, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.3612, decode.loss_mask: 0.5707, decode.loss_dice: 0.8117, decode.d0.loss_cls: 1.4540, decode.d0.loss_mask: 0.6147, decode.d0.loss_dice: 0.9293, decode.d1.loss_cls: 0.4446, decode.d1.loss_mask: 0.5937, decode.d1.loss_dice: 0.8684, decode.d2.loss_cls: 0.3914, decode.d2.loss_mask: 0.5814, decode.d2.loss_dice: 0.8392, decode.d3.loss_cls: 0.3764, decode.d3.loss_mask: 0.5789, decode.d3.loss_dice: 0.8236, decode.d4.loss_cls: 0.3711, decode.d4.loss_mask: 0.5758, decode.d4.loss_dice: 0.8187, decode.d5.loss_cls: 0.3641, decode.d5.loss_mask: 0.5736, decode.d5.loss_dice: 0.8148, decode.d6.loss_cls: 0.3636, decode.d6.loss_mask: 0.5722, decode.d6.loss_dice: 0.8120, decode.d7.loss_cls: 0.3591, decode.d7.loss_mask: 0.5717, decode.d7.loss_dice: 0.8140, decode.d8.loss_cls: 0.3579, decode.d8.loss_mask: 0.5693, decode.d8.loss_dice: 0.8135, loss: 18.9907, grad_norm: 76.8906 2023-11-22 06:13:29,878 - mmseg - INFO - Iter [54950/160000] lr: 6.254e-06, eta: 17:08:35, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3648, decode.loss_mask: 0.5500, decode.loss_dice: 0.8144, decode.d0.loss_cls: 1.5194, decode.d0.loss_mask: 0.5860, decode.d0.loss_dice: 0.9319, decode.d1.loss_cls: 0.4662, decode.d1.loss_mask: 0.5744, decode.d1.loss_dice: 0.8716, decode.d2.loss_cls: 0.4126, decode.d2.loss_mask: 0.5608, decode.d2.loss_dice: 0.8388, decode.d3.loss_cls: 0.3895, decode.d3.loss_mask: 0.5534, decode.d3.loss_dice: 0.8165, decode.d4.loss_cls: 0.3816, decode.d4.loss_mask: 0.5513, decode.d4.loss_dice: 0.8182, decode.d5.loss_cls: 0.3790, decode.d5.loss_mask: 0.5502, decode.d5.loss_dice: 0.8206, decode.d6.loss_cls: 0.3713, decode.d6.loss_mask: 0.5515, decode.d6.loss_dice: 0.8079, decode.d7.loss_cls: 0.3695, decode.d7.loss_mask: 0.5507, decode.d7.loss_dice: 0.8162, decode.d8.loss_cls: 0.3685, decode.d8.loss_mask: 0.5506, decode.d8.loss_dice: 0.8167, loss: 18.9540, grad_norm: 72.8907 2023-11-22 06:13:58,294 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 06:13:58,294 - mmseg - INFO - Iter [55000/160000] lr: 6.251e-06, eta: 17:08:04, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3667, decode.loss_mask: 0.5575, decode.loss_dice: 0.8130, decode.d0.loss_cls: 1.5197, decode.d0.loss_mask: 0.5939, decode.d0.loss_dice: 0.9309, decode.d1.loss_cls: 0.4704, decode.d1.loss_mask: 0.5796, decode.d1.loss_dice: 0.8681, decode.d2.loss_cls: 0.4140, decode.d2.loss_mask: 0.5629, decode.d2.loss_dice: 0.8370, decode.d3.loss_cls: 0.3897, decode.d3.loss_mask: 0.5616, decode.d3.loss_dice: 0.8258, decode.d4.loss_cls: 0.3802, decode.d4.loss_mask: 0.5573, decode.d4.loss_dice: 0.8214, decode.d5.loss_cls: 0.3820, decode.d5.loss_mask: 0.5626, decode.d5.loss_dice: 0.8167, decode.d6.loss_cls: 0.3770, decode.d6.loss_mask: 0.5581, decode.d6.loss_dice: 0.8133, decode.d7.loss_cls: 0.3704, decode.d7.loss_mask: 0.5609, decode.d7.loss_dice: 0.8203, decode.d8.loss_cls: 0.3704, decode.d8.loss_mask: 0.5598, decode.d8.loss_dice: 0.8174, loss: 19.0589, grad_norm: 69.4828 2023-11-22 06:14:26,980 - mmseg - INFO - Iter [55050/160000] lr: 6.248e-06, eta: 17:07:33, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3649, decode.loss_mask: 0.5462, decode.loss_dice: 0.8520, decode.d0.loss_cls: 1.5162, decode.d0.loss_mask: 0.5857, decode.d0.loss_dice: 0.9737, decode.d1.loss_cls: 0.4644, decode.d1.loss_mask: 0.5690, decode.d1.loss_dice: 0.9084, decode.d2.loss_cls: 0.4122, decode.d2.loss_mask: 0.5542, decode.d2.loss_dice: 0.8806, decode.d3.loss_cls: 0.3891, decode.d3.loss_mask: 0.5490, decode.d3.loss_dice: 0.8590, decode.d4.loss_cls: 0.3804, decode.d4.loss_mask: 0.5477, decode.d4.loss_dice: 0.8652, decode.d5.loss_cls: 0.3760, decode.d5.loss_mask: 0.5493, decode.d5.loss_dice: 0.8613, decode.d6.loss_cls: 0.3760, decode.d6.loss_mask: 0.5484, decode.d6.loss_dice: 0.8542, decode.d7.loss_cls: 0.3741, decode.d7.loss_mask: 0.5464, decode.d7.loss_dice: 0.8561, decode.d8.loss_cls: 0.3673, decode.d8.loss_mask: 0.5447, decode.d8.loss_dice: 0.8557, loss: 19.3276, grad_norm: 68.8005 2023-11-22 06:14:55,355 - mmseg - INFO - Iter [55100/160000] lr: 6.245e-06, eta: 17:07:02, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3497, decode.loss_mask: 0.5646, decode.loss_dice: 0.8252, decode.d0.loss_cls: 1.4876, decode.d0.loss_mask: 0.5993, decode.d0.loss_dice: 0.9394, decode.d1.loss_cls: 0.4411, decode.d1.loss_mask: 0.5825, decode.d1.loss_dice: 0.8823, decode.d2.loss_cls: 0.3835, decode.d2.loss_mask: 0.5751, decode.d2.loss_dice: 0.8491, decode.d3.loss_cls: 0.3634, decode.d3.loss_mask: 0.5697, decode.d3.loss_dice: 0.8354, decode.d4.loss_cls: 0.3574, decode.d4.loss_mask: 0.5639, decode.d4.loss_dice: 0.8357, decode.d5.loss_cls: 0.3573, decode.d5.loss_mask: 0.5652, decode.d5.loss_dice: 0.8344, decode.d6.loss_cls: 0.3498, decode.d6.loss_mask: 0.5640, decode.d6.loss_dice: 0.8246, decode.d7.loss_cls: 0.3498, decode.d7.loss_mask: 0.5635, decode.d7.loss_dice: 0.8198, decode.d8.loss_cls: 0.3483, decode.d8.loss_mask: 0.5647, decode.d8.loss_dice: 0.8273, loss: 18.9736, grad_norm: 77.4104 2023-11-22 06:15:23,536 - mmseg - INFO - Iter [55150/160000] lr: 6.242e-06, eta: 17:06:30, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3615, decode.loss_mask: 0.5738, decode.loss_dice: 0.8414, decode.d0.loss_cls: 1.5085, decode.d0.loss_mask: 0.6235, decode.d0.loss_dice: 0.9552, decode.d1.loss_cls: 0.4503, decode.d1.loss_mask: 0.5975, decode.d1.loss_dice: 0.9064, decode.d2.loss_cls: 0.4087, decode.d2.loss_mask: 0.5850, decode.d2.loss_dice: 0.8718, decode.d3.loss_cls: 0.3746, decode.d3.loss_mask: 0.5770, decode.d3.loss_dice: 0.8553, decode.d4.loss_cls: 0.3735, decode.d4.loss_mask: 0.5753, decode.d4.loss_dice: 0.8522, decode.d5.loss_cls: 0.3657, decode.d5.loss_mask: 0.5736, decode.d5.loss_dice: 0.8487, decode.d6.loss_cls: 0.3639, decode.d6.loss_mask: 0.5752, decode.d6.loss_dice: 0.8430, decode.d7.loss_cls: 0.3578, decode.d7.loss_mask: 0.5736, decode.d7.loss_dice: 0.8441, decode.d8.loss_cls: 0.3581, decode.d8.loss_mask: 0.5734, decode.d8.loss_dice: 0.8449, loss: 19.4138, grad_norm: 76.8105 2023-11-22 06:15:51,888 - mmseg - INFO - Iter [55200/160000] lr: 6.239e-06, eta: 17:05:59, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3659, decode.loss_mask: 0.5723, decode.loss_dice: 0.8309, decode.d0.loss_cls: 1.4920, decode.d0.loss_mask: 0.6079, decode.d0.loss_dice: 0.9397, decode.d1.loss_cls: 0.4506, decode.d1.loss_mask: 0.6004, decode.d1.loss_dice: 0.8965, decode.d2.loss_cls: 0.4035, decode.d2.loss_mask: 0.5857, decode.d2.loss_dice: 0.8701, decode.d3.loss_cls: 0.3850, decode.d3.loss_mask: 0.5788, decode.d3.loss_dice: 0.8414, decode.d4.loss_cls: 0.3782, decode.d4.loss_mask: 0.5783, decode.d4.loss_dice: 0.8426, decode.d5.loss_cls: 0.3689, decode.d5.loss_mask: 0.5790, decode.d5.loss_dice: 0.8416, decode.d6.loss_cls: 0.3683, decode.d6.loss_mask: 0.5716, decode.d6.loss_dice: 0.8374, decode.d7.loss_cls: 0.3689, decode.d7.loss_mask: 0.5742, decode.d7.loss_dice: 0.8353, decode.d8.loss_cls: 0.3641, decode.d8.loss_mask: 0.5743, decode.d8.loss_dice: 0.8406, loss: 19.3439, grad_norm: 71.6613 2023-11-22 06:16:20,211 - mmseg - INFO - Iter [55250/160000] lr: 6.236e-06, eta: 17:05:27, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3388, decode.loss_mask: 0.5671, decode.loss_dice: 0.8164, decode.d0.loss_cls: 1.4874, decode.d0.loss_mask: 0.6087, decode.d0.loss_dice: 0.9321, decode.d1.loss_cls: 0.4337, decode.d1.loss_mask: 0.5913, decode.d1.loss_dice: 0.8728, decode.d2.loss_cls: 0.3831, decode.d2.loss_mask: 0.5770, decode.d2.loss_dice: 0.8453, decode.d3.loss_cls: 0.3575, decode.d3.loss_mask: 0.5707, decode.d3.loss_dice: 0.8243, decode.d4.loss_cls: 0.3505, decode.d4.loss_mask: 0.5702, decode.d4.loss_dice: 0.8178, decode.d5.loss_cls: 0.3520, decode.d5.loss_mask: 0.5680, decode.d5.loss_dice: 0.8169, decode.d6.loss_cls: 0.3499, decode.d6.loss_mask: 0.5678, decode.d6.loss_dice: 0.8192, decode.d7.loss_cls: 0.3434, decode.d7.loss_mask: 0.5669, decode.d7.loss_dice: 0.8170, decode.d8.loss_cls: 0.3409, decode.d8.loss_mask: 0.5689, decode.d8.loss_dice: 0.8156, loss: 18.8714, grad_norm: 72.9326 2023-11-22 06:16:48,701 - mmseg - INFO - Iter [55300/160000] lr: 6.233e-06, eta: 17:04:56, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3646, decode.loss_mask: 0.5511, decode.loss_dice: 0.8279, decode.d0.loss_cls: 1.5168, decode.d0.loss_mask: 0.5826, decode.d0.loss_dice: 0.9483, decode.d1.loss_cls: 0.4664, decode.d1.loss_mask: 0.5716, decode.d1.loss_dice: 0.8805, decode.d2.loss_cls: 0.4151, decode.d2.loss_mask: 0.5547, decode.d2.loss_dice: 0.8455, decode.d3.loss_cls: 0.3889, decode.d3.loss_mask: 0.5521, decode.d3.loss_dice: 0.8326, decode.d4.loss_cls: 0.3781, decode.d4.loss_mask: 0.5491, decode.d4.loss_dice: 0.8326, decode.d5.loss_cls: 0.3763, decode.d5.loss_mask: 0.5519, decode.d5.loss_dice: 0.8286, decode.d6.loss_cls: 0.3751, decode.d6.loss_mask: 0.5498, decode.d6.loss_dice: 0.8245, decode.d7.loss_cls: 0.3652, decode.d7.loss_mask: 0.5489, decode.d7.loss_dice: 0.8276, decode.d8.loss_cls: 0.3642, decode.d8.loss_mask: 0.5515, decode.d8.loss_dice: 0.8286, loss: 19.0504, grad_norm: 72.9178 2023-11-22 06:17:17,677 - mmseg - INFO - Iter [55350/160000] lr: 6.230e-06, eta: 17:04:26, time: 0.580, data_time: 0.015, memory: 38143, decode.loss_cls: 0.3538, decode.loss_mask: 0.5618, decode.loss_dice: 0.8294, decode.d0.loss_cls: 1.5264, decode.d0.loss_mask: 0.6045, decode.d0.loss_dice: 0.9505, decode.d1.loss_cls: 0.4481, decode.d1.loss_mask: 0.5869, decode.d1.loss_dice: 0.8821, decode.d2.loss_cls: 0.3919, decode.d2.loss_mask: 0.5735, decode.d2.loss_dice: 0.8534, decode.d3.loss_cls: 0.3660, decode.d3.loss_mask: 0.5669, decode.d3.loss_dice: 0.8373, decode.d4.loss_cls: 0.3571, decode.d4.loss_mask: 0.5658, decode.d4.loss_dice: 0.8365, decode.d5.loss_cls: 0.3543, decode.d5.loss_mask: 0.5651, decode.d5.loss_dice: 0.8382, decode.d6.loss_cls: 0.3522, decode.d6.loss_mask: 0.5674, decode.d6.loss_dice: 0.8306, decode.d7.loss_cls: 0.3496, decode.d7.loss_mask: 0.5689, decode.d7.loss_dice: 0.8333, decode.d8.loss_cls: 0.3509, decode.d8.loss_mask: 0.5639, decode.d8.loss_dice: 0.8317, loss: 19.0980, grad_norm: 75.3729 2023-11-22 06:17:46,103 - mmseg - INFO - Iter [55400/160000] lr: 6.227e-06, eta: 17:03:55, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3439, decode.loss_mask: 0.5758, decode.loss_dice: 0.8179, decode.d0.loss_cls: 1.4851, decode.d0.loss_mask: 0.5994, decode.d0.loss_dice: 0.9311, decode.d1.loss_cls: 0.4585, decode.d1.loss_mask: 0.5887, decode.d1.loss_dice: 0.8600, decode.d2.loss_cls: 0.3914, decode.d2.loss_mask: 0.5782, decode.d2.loss_dice: 0.8385, decode.d3.loss_cls: 0.3762, decode.d3.loss_mask: 0.5741, decode.d3.loss_dice: 0.8187, decode.d4.loss_cls: 0.3605, decode.d4.loss_mask: 0.5745, decode.d4.loss_dice: 0.8212, decode.d5.loss_cls: 0.3555, decode.d5.loss_mask: 0.5761, decode.d5.loss_dice: 0.8183, decode.d6.loss_cls: 0.3507, decode.d6.loss_mask: 0.5724, decode.d6.loss_dice: 0.8117, decode.d7.loss_cls: 0.3436, decode.d7.loss_mask: 0.5728, decode.d7.loss_dice: 0.8135, decode.d8.loss_cls: 0.3496, decode.d8.loss_mask: 0.5724, decode.d8.loss_dice: 0.8153, loss: 18.9456, grad_norm: 73.5616 2023-11-22 06:18:14,521 - mmseg - INFO - Iter [55450/160000] lr: 6.224e-06, eta: 17:03:24, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3606, decode.loss_mask: 0.5647, decode.loss_dice: 0.8521, decode.d0.loss_cls: 1.4931, decode.d0.loss_mask: 0.5988, decode.d0.loss_dice: 0.9463, decode.d1.loss_cls: 0.4598, decode.d1.loss_mask: 0.5863, decode.d1.loss_dice: 0.9029, decode.d2.loss_cls: 0.3983, decode.d2.loss_mask: 0.5689, decode.d2.loss_dice: 0.8761, decode.d3.loss_cls: 0.3730, decode.d3.loss_mask: 0.5694, decode.d3.loss_dice: 0.8635, decode.d4.loss_cls: 0.3767, decode.d4.loss_mask: 0.5661, decode.d4.loss_dice: 0.8616, decode.d5.loss_cls: 0.3682, decode.d5.loss_mask: 0.5677, decode.d5.loss_dice: 0.8623, decode.d6.loss_cls: 0.3630, decode.d6.loss_mask: 0.5659, decode.d6.loss_dice: 0.8530, decode.d7.loss_cls: 0.3630, decode.d7.loss_mask: 0.5657, decode.d7.loss_dice: 0.8597, decode.d8.loss_cls: 0.3654, decode.d8.loss_mask: 0.5651, decode.d8.loss_dice: 0.8523, loss: 19.3695, grad_norm: 70.1550 2023-11-22 06:18:43,033 - mmseg - INFO - Iter [55500/160000] lr: 6.221e-06, eta: 17:02:53, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3519, decode.loss_mask: 0.5553, decode.loss_dice: 0.8379, decode.d0.loss_cls: 1.4951, decode.d0.loss_mask: 0.5908, decode.d0.loss_dice: 0.9456, decode.d1.loss_cls: 0.4688, decode.d1.loss_mask: 0.5718, decode.d1.loss_dice: 0.8833, decode.d2.loss_cls: 0.4002, decode.d2.loss_mask: 0.5637, decode.d2.loss_dice: 0.8537, decode.d3.loss_cls: 0.3795, decode.d3.loss_mask: 0.5548, decode.d3.loss_dice: 0.8388, decode.d4.loss_cls: 0.3679, decode.d4.loss_mask: 0.5549, decode.d4.loss_dice: 0.8409, decode.d5.loss_cls: 0.3632, decode.d5.loss_mask: 0.5533, decode.d5.loss_dice: 0.8431, decode.d6.loss_cls: 0.3581, decode.d6.loss_mask: 0.5507, decode.d6.loss_dice: 0.8290, decode.d7.loss_cls: 0.3591, decode.d7.loss_mask: 0.5522, decode.d7.loss_dice: 0.8346, decode.d8.loss_cls: 0.3610, decode.d8.loss_mask: 0.5509, decode.d8.loss_dice: 0.8342, loss: 19.0445, grad_norm: 67.7830 2023-11-22 06:19:11,382 - mmseg - INFO - Iter [55550/160000] lr: 6.218e-06, eta: 17:02:22, time: 0.567, data_time: 0.015, memory: 38143, decode.loss_cls: 0.3665, decode.loss_mask: 0.5920, decode.loss_dice: 0.8462, decode.d0.loss_cls: 1.5053, decode.d0.loss_mask: 0.6242, decode.d0.loss_dice: 0.9543, decode.d1.loss_cls: 0.4685, decode.d1.loss_mask: 0.6125, decode.d1.loss_dice: 0.8931, decode.d2.loss_cls: 0.4133, decode.d2.loss_mask: 0.6010, decode.d2.loss_dice: 0.8698, decode.d3.loss_cls: 0.3880, decode.d3.loss_mask: 0.5950, decode.d3.loss_dice: 0.8480, decode.d4.loss_cls: 0.3836, decode.d4.loss_mask: 0.5922, decode.d4.loss_dice: 0.8496, decode.d5.loss_cls: 0.3769, decode.d5.loss_mask: 0.5932, decode.d5.loss_dice: 0.8518, decode.d6.loss_cls: 0.3711, decode.d6.loss_mask: 0.5923, decode.d6.loss_dice: 0.8481, decode.d7.loss_cls: 0.3722, decode.d7.loss_mask: 0.5921, decode.d7.loss_dice: 0.8443, decode.d8.loss_cls: 0.3696, decode.d8.loss_mask: 0.5920, decode.d8.loss_dice: 0.8388, loss: 19.6456, grad_norm: 77.1623 2023-11-22 06:19:42,186 - mmseg - INFO - Iter [55600/160000] lr: 6.215e-06, eta: 17:01:55, time: 0.616, data_time: 0.060, memory: 38143, decode.loss_cls: 0.3732, decode.loss_mask: 0.5445, decode.loss_dice: 0.8170, decode.d0.loss_cls: 1.5382, decode.d0.loss_mask: 0.5725, decode.d0.loss_dice: 0.9296, decode.d1.loss_cls: 0.4779, decode.d1.loss_mask: 0.5644, decode.d1.loss_dice: 0.8668, decode.d2.loss_cls: 0.4123, decode.d2.loss_mask: 0.5501, decode.d2.loss_dice: 0.8416, decode.d3.loss_cls: 0.3928, decode.d3.loss_mask: 0.5452, decode.d3.loss_dice: 0.8193, decode.d4.loss_cls: 0.3885, decode.d4.loss_mask: 0.5430, decode.d4.loss_dice: 0.8217, decode.d5.loss_cls: 0.3797, decode.d5.loss_mask: 0.5448, decode.d5.loss_dice: 0.8194, decode.d6.loss_cls: 0.3745, decode.d6.loss_mask: 0.5445, decode.d6.loss_dice: 0.8138, decode.d7.loss_cls: 0.3742, decode.d7.loss_mask: 0.5437, decode.d7.loss_dice: 0.8150, decode.d8.loss_cls: 0.3738, decode.d8.loss_mask: 0.5414, decode.d8.loss_dice: 0.8170, loss: 18.9401, grad_norm: 69.4738 2023-11-22 06:20:10,992 - mmseg - INFO - Iter [55650/160000] lr: 6.212e-06, eta: 17:01:25, time: 0.576, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3702, decode.loss_mask: 0.5502, decode.loss_dice: 0.8193, decode.d0.loss_cls: 1.5388, decode.d0.loss_mask: 0.5787, decode.d0.loss_dice: 0.9314, decode.d1.loss_cls: 0.4669, decode.d1.loss_mask: 0.5661, decode.d1.loss_dice: 0.8705, decode.d2.loss_cls: 0.4131, decode.d2.loss_mask: 0.5579, decode.d2.loss_dice: 0.8503, decode.d3.loss_cls: 0.3876, decode.d3.loss_mask: 0.5524, decode.d3.loss_dice: 0.8320, decode.d4.loss_cls: 0.3828, decode.d4.loss_mask: 0.5526, decode.d4.loss_dice: 0.8296, decode.d5.loss_cls: 0.3838, decode.d5.loss_mask: 0.5519, decode.d5.loss_dice: 0.8269, decode.d6.loss_cls: 0.3717, decode.d6.loss_mask: 0.5481, decode.d6.loss_dice: 0.8248, decode.d7.loss_cls: 0.3672, decode.d7.loss_mask: 0.5497, decode.d7.loss_dice: 0.8210, decode.d8.loss_cls: 0.3677, decode.d8.loss_mask: 0.5509, decode.d8.loss_dice: 0.8230, loss: 19.0372, grad_norm: 69.7625 2023-11-22 06:20:39,567 - mmseg - INFO - Iter [55700/160000] lr: 6.209e-06, eta: 17:00:54, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3534, decode.loss_mask: 0.5580, decode.loss_dice: 0.8173, decode.d0.loss_cls: 1.5110, decode.d0.loss_mask: 0.5958, decode.d0.loss_dice: 0.9299, decode.d1.loss_cls: 0.4521, decode.d1.loss_mask: 0.5824, decode.d1.loss_dice: 0.8756, decode.d2.loss_cls: 0.3926, decode.d2.loss_mask: 0.5710, decode.d2.loss_dice: 0.8460, decode.d3.loss_cls: 0.3705, decode.d3.loss_mask: 0.5604, decode.d3.loss_dice: 0.8234, decode.d4.loss_cls: 0.3638, decode.d4.loss_mask: 0.5621, decode.d4.loss_dice: 0.8214, decode.d5.loss_cls: 0.3527, decode.d5.loss_mask: 0.5631, decode.d5.loss_dice: 0.8266, decode.d6.loss_cls: 0.3520, decode.d6.loss_mask: 0.5644, decode.d6.loss_dice: 0.8185, decode.d7.loss_cls: 0.3489, decode.d7.loss_mask: 0.5655, decode.d7.loss_dice: 0.8204, decode.d8.loss_cls: 0.3541, decode.d8.loss_mask: 0.5586, decode.d8.loss_dice: 0.8167, loss: 18.9282, grad_norm: 67.5917 2023-11-22 06:21:07,928 - mmseg - INFO - Iter [55750/160000] lr: 6.206e-06, eta: 17:00:23, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3471, decode.loss_mask: 0.5399, decode.loss_dice: 0.8273, decode.d0.loss_cls: 1.5191, decode.d0.loss_mask: 0.5821, decode.d0.loss_dice: 0.9367, decode.d1.loss_cls: 0.4521, decode.d1.loss_mask: 0.5607, decode.d1.loss_dice: 0.8841, decode.d2.loss_cls: 0.3956, decode.d2.loss_mask: 0.5507, decode.d2.loss_dice: 0.8498, decode.d3.loss_cls: 0.3664, decode.d3.loss_mask: 0.5426, decode.d3.loss_dice: 0.8355, decode.d4.loss_cls: 0.3664, decode.d4.loss_mask: 0.5406, decode.d4.loss_dice: 0.8277, decode.d5.loss_cls: 0.3538, decode.d5.loss_mask: 0.5383, decode.d5.loss_dice: 0.8292, decode.d6.loss_cls: 0.3481, decode.d6.loss_mask: 0.5415, decode.d6.loss_dice: 0.8244, decode.d7.loss_cls: 0.3434, decode.d7.loss_mask: 0.5407, decode.d7.loss_dice: 0.8294, decode.d8.loss_cls: 0.3510, decode.d8.loss_mask: 0.5407, decode.d8.loss_dice: 0.8318, loss: 18.7969, grad_norm: 64.2521 2023-11-22 06:21:36,512 - mmseg - INFO - Iter [55800/160000] lr: 6.203e-06, eta: 16:59:52, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3765, decode.loss_mask: 0.5752, decode.loss_dice: 0.8275, decode.d0.loss_cls: 1.5357, decode.d0.loss_mask: 0.6188, decode.d0.loss_dice: 0.9426, decode.d1.loss_cls: 0.4794, decode.d1.loss_mask: 0.6011, decode.d1.loss_dice: 0.8808, decode.d2.loss_cls: 0.4273, decode.d2.loss_mask: 0.5893, decode.d2.loss_dice: 0.8533, decode.d3.loss_cls: 0.4033, decode.d3.loss_mask: 0.5778, decode.d3.loss_dice: 0.8315, decode.d4.loss_cls: 0.3948, decode.d4.loss_mask: 0.5808, decode.d4.loss_dice: 0.8283, decode.d5.loss_cls: 0.3876, decode.d5.loss_mask: 0.5789, decode.d5.loss_dice: 0.8339, decode.d6.loss_cls: 0.3848, decode.d6.loss_mask: 0.5755, decode.d6.loss_dice: 0.8259, decode.d7.loss_cls: 0.3822, decode.d7.loss_mask: 0.5764, decode.d7.loss_dice: 0.8277, decode.d8.loss_cls: 0.3796, decode.d8.loss_mask: 0.5744, decode.d8.loss_dice: 0.8276, loss: 19.4786, grad_norm: 76.6227 2023-11-22 06:22:04,891 - mmseg - INFO - Iter [55850/160000] lr: 6.200e-06, eta: 16:59:21, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3731, decode.loss_mask: 0.5656, decode.loss_dice: 0.8405, decode.d0.loss_cls: 1.4921, decode.d0.loss_mask: 0.5979, decode.d0.loss_dice: 0.9501, decode.d1.loss_cls: 0.4592, decode.d1.loss_mask: 0.5916, decode.d1.loss_dice: 0.8962, decode.d2.loss_cls: 0.4152, decode.d2.loss_mask: 0.5776, decode.d2.loss_dice: 0.8686, decode.d3.loss_cls: 0.3945, decode.d3.loss_mask: 0.5653, decode.d3.loss_dice: 0.8427, decode.d4.loss_cls: 0.3833, decode.d4.loss_mask: 0.5679, decode.d4.loss_dice: 0.8465, decode.d5.loss_cls: 0.3791, decode.d5.loss_mask: 0.5664, decode.d5.loss_dice: 0.8435, decode.d6.loss_cls: 0.3755, decode.d6.loss_mask: 0.5645, decode.d6.loss_dice: 0.8427, decode.d7.loss_cls: 0.3745, decode.d7.loss_mask: 0.5661, decode.d7.loss_dice: 0.8459, decode.d8.loss_cls: 0.3759, decode.d8.loss_mask: 0.5651, decode.d8.loss_dice: 0.8379, loss: 19.3648, grad_norm: 71.8097 2023-11-22 06:22:33,260 - mmseg - INFO - Iter [55900/160000] lr: 6.197e-06, eta: 16:58:49, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3685, decode.loss_mask: 0.5541, decode.loss_dice: 0.8185, decode.d0.loss_cls: 1.5214, decode.d0.loss_mask: 0.5950, decode.d0.loss_dice: 0.9336, decode.d1.loss_cls: 0.4683, decode.d1.loss_mask: 0.5731, decode.d1.loss_dice: 0.8687, decode.d2.loss_cls: 0.4160, decode.d2.loss_mask: 0.5633, decode.d2.loss_dice: 0.8473, decode.d3.loss_cls: 0.3992, decode.d3.loss_mask: 0.5565, decode.d3.loss_dice: 0.8242, decode.d4.loss_cls: 0.3881, decode.d4.loss_mask: 0.5563, decode.d4.loss_dice: 0.8262, decode.d5.loss_cls: 0.3872, decode.d5.loss_mask: 0.5552, decode.d5.loss_dice: 0.8228, decode.d6.loss_cls: 0.3858, decode.d6.loss_mask: 0.5527, decode.d6.loss_dice: 0.8182, decode.d7.loss_cls: 0.3801, decode.d7.loss_mask: 0.5501, decode.d7.loss_dice: 0.8139, decode.d8.loss_cls: 0.3760, decode.d8.loss_mask: 0.5517, decode.d8.loss_dice: 0.8138, loss: 19.0858, grad_norm: 66.8174 2023-11-22 06:23:01,986 - mmseg - INFO - Iter [55950/160000] lr: 6.194e-06, eta: 16:58:19, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3667, decode.loss_mask: 0.5663, decode.loss_dice: 0.8412, decode.d0.loss_cls: 1.5182, decode.d0.loss_mask: 0.6015, decode.d0.loss_dice: 0.9594, decode.d1.loss_cls: 0.4688, decode.d1.loss_mask: 0.5863, decode.d1.loss_dice: 0.8934, decode.d2.loss_cls: 0.4073, decode.d2.loss_mask: 0.5707, decode.d2.loss_dice: 0.8650, decode.d3.loss_cls: 0.3808, decode.d3.loss_mask: 0.5682, decode.d3.loss_dice: 0.8482, decode.d4.loss_cls: 0.3733, decode.d4.loss_mask: 0.5666, decode.d4.loss_dice: 0.8500, decode.d5.loss_cls: 0.3725, decode.d5.loss_mask: 0.5645, decode.d5.loss_dice: 0.8478, decode.d6.loss_cls: 0.3769, decode.d6.loss_mask: 0.5658, decode.d6.loss_dice: 0.8395, decode.d7.loss_cls: 0.3676, decode.d7.loss_mask: 0.5639, decode.d7.loss_dice: 0.8374, decode.d8.loss_cls: 0.3614, decode.d8.loss_mask: 0.5660, decode.d8.loss_dice: 0.8442, loss: 19.3393, grad_norm: 69.9345 2023-11-22 06:23:30,346 - mmseg - INFO - Saving checkpoint at 56000 iterations 2023-11-22 06:23:38,847 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 06:23:38,847 - mmseg - INFO - Iter [56000/160000] lr: 6.191e-06, eta: 16:58:03, time: 0.737, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3586, decode.loss_mask: 0.5589, decode.loss_dice: 0.8273, decode.d0.loss_cls: 1.5418, decode.d0.loss_mask: 0.5967, decode.d0.loss_dice: 0.9480, decode.d1.loss_cls: 0.4513, decode.d1.loss_mask: 0.5808, decode.d1.loss_dice: 0.8872, decode.d2.loss_cls: 0.4001, decode.d2.loss_mask: 0.5675, decode.d2.loss_dice: 0.8544, decode.d3.loss_cls: 0.3802, decode.d3.loss_mask: 0.5647, decode.d3.loss_dice: 0.8289, decode.d4.loss_cls: 0.3702, decode.d4.loss_mask: 0.5605, decode.d4.loss_dice: 0.8285, decode.d5.loss_cls: 0.3663, decode.d5.loss_mask: 0.5622, decode.d5.loss_dice: 0.8322, decode.d6.loss_cls: 0.3662, decode.d6.loss_mask: 0.5585, decode.d6.loss_dice: 0.8296, decode.d7.loss_cls: 0.3596, decode.d7.loss_mask: 0.5591, decode.d7.loss_dice: 0.8281, decode.d8.loss_cls: 0.3565, decode.d8.loss_mask: 0.5581, decode.d8.loss_dice: 0.8317, loss: 19.1138, grad_norm: 72.3031 2023-11-22 06:23:58,321 - mmseg - INFO - per class results: 2023-11-22 06:23:58,326 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.18 | 88.51 | | building | 83.59 | 90.84 | | sky | 94.93 | 97.5 | | floor | 84.67 | 90.33 | | tree | 75.61 | 87.65 | | ceiling | 86.2 | 92.63 | | road | 86.48 | 92.59 | | bed | 92.02 | 95.95 | | windowpane | 64.42 | 79.68 | | grass | 64.2 | 75.63 | | cabinet | 61.55 | 74.93 | | sidewalk | 69.5 | 80.65 | | person | 86.4 | 93.35 | | earth | 37.01 | 51.13 | | door | 56.36 | 72.33 | | table | 69.36 | 81.79 | | mountain | 60.96 | 77.59 | | plant | 53.37 | 67.73 | | curtain | 75.31 | 89.07 | | chair | 64.57 | 76.15 | | car | 87.62 | 93.26 | | water | 50.8 | 63.92 | | painting | 76.33 | 89.76 | | sofa | 74.29 | 87.16 | | shelf | 44.65 | 57.11 | | house | 40.34 | 61.08 | | sea | 57.72 | 90.56 | | mirror | 72.94 | 84.52 | | rug | 70.98 | 84.94 | | field | 28.99 | 62.82 | | armchair | 50.65 | 73.51 | | seat | 63.33 | 82.97 | | fence | 45.97 | 59.33 | | desk | 59.96 | 76.83 | | rock | 49.67 | 63.17 | | wardrobe | 40.77 | 64.06 | | lamp | 71.22 | 83.24 | | bathtub | 79.16 | 86.25 | | railing | 36.81 | 62.75 | | cushion | 65.61 | 74.42 | | base | 35.88 | 47.64 | | box | 33.71 | 51.53 | | column | 50.33 | 68.93 | | signboard | 39.98 | 65.12 | | chest of drawers | 41.29 | 62.3 | | counter | 39.75 | 48.2 | | sand | 34.85 | 51.38 | | sink | 80.38 | 89.46 | | skyscraper | 43.51 | 58.49 | | fireplace | 74.53 | 90.83 | | refrigerator | 81.43 | 90.27 | | grandstand | 60.1 | 73.93 | | path | 23.98 | 37.82 | | stairs | 49.47 | 58.31 | | runway | 75.02 | 95.63 | | case | 69.63 | 77.25 | | pool table | 95.01 | 96.91 | | pillow | 64.29 | 80.41 | | screen door | 79.17 | 94.34 | | stairway | 34.04 | 58.3 | | river | 19.33 | 27.41 | | bridge | 79.84 | 89.33 | | bookcase | 30.16 | 53.46 | | blind | 53.36 | 70.92 | | coffee table | 62.42 | 86.59 | | toilet | 89.39 | 91.65 | | flower | 44.77 | 66.62 | | book | 54.36 | 77.8 | | hill | 8.36 | 14.47 | | bench | 65.23 | 77.93 | | countertop | 64.11 | 76.85 | | stove | 83.54 | 90.23 | | palm | 55.92 | 84.25 | | kitchen island | 62.69 | 83.8 | | computer | 72.54 | 81.78 | | swivel chair | 52.17 | 81.86 | | boat | 77.85 | 92.95 | | bar | 59.25 | 68.74 | | arcade machine | 49.54 | 52.54 | | hovel | 43.31 | 48.76 | | bus | 93.33 | 96.06 | | towel | 76.26 | 90.54 | | light | 63.89 | 79.22 | | truck | 42.82 | 54.96 | | tower | 43.73 | 77.1 | | chandelier | 69.6 | 89.32 | | awning | 39.27 | 58.69 | | streetlight | 39.76 | 67.78 | | booth | 49.06 | 59.76 | | television receiver | 78.97 | 89.07 | | airplane | 72.37 | 78.38 | | dirt track | 14.56 | 32.71 | | apparel | 33.09 | 49.35 | | pole | 32.42 | 50.71 | | land | 1.56 | 2.25 | | bannister | 21.47 | 29.21 | | escalator | 51.51 | 60.05 | | ottoman | 55.24 | 80.77 | | bottle | 44.04 | 75.96 | | buffet | 42.94 | 58.57 | | poster | 37.44 | 61.2 | | stage | 21.78 | 31.72 | | van | 46.09 | 71.71 | | ship | 10.59 | 13.86 | | fountain | 21.33 | 21.91 | | conveyer belt | 72.97 | 90.87 | | canopy | 14.5 | 24.58 | | washer | 71.59 | 75.62 | | plaything | 44.71 | 55.08 | | swimming pool | 48.73 | 70.51 | | stool | 54.95 | 70.49 | | barrel | 21.49 | 97.93 | | basket | 39.72 | 62.79 | | waterfall | 63.56 | 91.89 | | tent | 94.89 | 98.12 | | bag | 30.28 | 44.79 | | minibike | 70.37 | 91.2 | | cradle | 71.27 | 97.3 | | oven | 28.5 | 82.87 | | ball | 58.11 | 67.05 | | food | 73.0 | 88.41 | | step | 31.02 | 44.42 | | tank | 50.12 | 62.45 | | trade name | 21.77 | 29.13 | | microwave | 38.85 | 41.33 | | pot | 47.5 | 62.12 | | animal | 72.43 | 74.57 | | bicycle | 58.46 | 85.64 | | lake | 0.0 | 0.0 | | dishwasher | 83.16 | 87.79 | | screen | 51.68 | 90.34 | | blanket | 36.31 | 47.24 | | sculpture | 45.83 | 89.87 | | hood | 66.24 | 81.18 | | sconce | 61.96 | 76.85 | | vase | 53.05 | 78.53 | | traffic light | 44.87 | 75.75 | | tray | 24.02 | 42.19 | | ashcan | 49.27 | 75.1 | | fan | 68.39 | 85.54 | | pier | 14.28 | 15.12 | | crt screen | 5.55 | 14.28 | | plate | 58.63 | 85.35 | | monitor | 1.85 | 2.56 | | bulletin board | 50.67 | 71.82 | | shower | 16.05 | 28.78 | | radiator | 69.18 | 85.61 | | glass | 25.88 | 31.44 | | clock | 51.99 | 69.75 | | flag | 49.84 | 58.26 | +---------------------+-------+-------+ 2023-11-22 06:23:58,326 - mmseg - INFO - Summary: 2023-11-22 06:23:58,326 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.65 | 53.74 | 69.04 | +-------+-------+-------+ 2023-11-22 06:23:58,327 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 06:23:58,327 - mmseg - INFO - Iter(val) [250] aAcc: 0.8465, mIoU: 0.5374, mAcc: 0.6904, IoU.wall: 0.8118, IoU.building: 0.8359, IoU.sky: 0.9493, IoU.floor: 0.8467, IoU.tree: 0.7561, IoU.ceiling: 0.8620, IoU.road: 0.8648, IoU.bed : 0.9202, IoU.windowpane: 0.6442, IoU.grass: 0.6420, IoU.cabinet: 0.6155, IoU.sidewalk: 0.6950, IoU.person: 0.8640, IoU.earth: 0.3701, IoU.door: 0.5636, IoU.table: 0.6936, IoU.mountain: 0.6096, IoU.plant: 0.5337, IoU.curtain: 0.7531, IoU.chair: 0.6457, IoU.car: 0.8762, IoU.water: 0.5080, IoU.painting: 0.7633, IoU.sofa: 0.7429, IoU.shelf: 0.4465, IoU.house: 0.4034, IoU.sea: 0.5772, IoU.mirror: 0.7294, IoU.rug: 0.7098, IoU.field: 0.2899, IoU.armchair: 0.5065, IoU.seat: 0.6333, IoU.fence: 0.4597, IoU.desk: 0.5996, IoU.rock: 0.4967, IoU.wardrobe: 0.4077, IoU.lamp: 0.7122, IoU.bathtub: 0.7916, IoU.railing: 0.3681, IoU.cushion: 0.6561, IoU.base: 0.3588, IoU.box: 0.3371, IoU.column: 0.5033, IoU.signboard: 0.3998, IoU.chest of drawers: 0.4129, IoU.counter: 0.3975, IoU.sand: 0.3485, IoU.sink: 0.8038, IoU.skyscraper: 0.4351, IoU.fireplace: 0.7453, IoU.refrigerator: 0.8143, IoU.grandstand: 0.6010, IoU.path: 0.2398, IoU.stairs: 0.4947, IoU.runway: 0.7502, IoU.case: 0.6963, IoU.pool table: 0.9501, IoU.pillow: 0.6429, IoU.screen door: 0.7917, IoU.stairway: 0.3404, IoU.river: 0.1933, IoU.bridge: 0.7984, IoU.bookcase: 0.3016, IoU.blind: 0.5336, IoU.coffee table: 0.6242, IoU.toilet: 0.8939, IoU.flower: 0.4477, IoU.book: 0.5436, IoU.hill: 0.0836, IoU.bench: 0.6523, IoU.countertop: 0.6411, IoU.stove: 0.8354, IoU.palm: 0.5592, IoU.kitchen island: 0.6269, IoU.computer: 0.7254, IoU.swivel chair: 0.5217, IoU.boat: 0.7785, IoU.bar: 0.5925, IoU.arcade machine: 0.4954, IoU.hovel: 0.4331, IoU.bus: 0.9333, IoU.towel: 0.7626, IoU.light: 0.6389, IoU.truck: 0.4282, IoU.tower: 0.4373, IoU.chandelier: 0.6960, IoU.awning: 0.3927, IoU.streetlight: 0.3976, IoU.booth: 0.4906, IoU.television receiver: 0.7897, IoU.airplane: 0.7237, IoU.dirt track: 0.1456, IoU.apparel: 0.3309, IoU.pole: 0.3242, IoU.land: 0.0156, IoU.bannister: 0.2147, IoU.escalator: 0.5151, IoU.ottoman: 0.5524, IoU.bottle: 0.4404, IoU.buffet: 0.4294, IoU.poster: 0.3744, IoU.stage: 0.2178, IoU.van: 0.4609, IoU.ship: 0.1059, IoU.fountain: 0.2133, IoU.conveyer belt: 0.7297, IoU.canopy: 0.1450, IoU.washer: 0.7159, IoU.plaything: 0.4471, IoU.swimming pool: 0.4873, IoU.stool: 0.5495, IoU.barrel: 0.2149, IoU.basket: 0.3972, IoU.waterfall: 0.6356, IoU.tent: 0.9489, IoU.bag: 0.3028, IoU.minibike: 0.7037, IoU.cradle: 0.7127, IoU.oven: 0.2850, IoU.ball: 0.5811, IoU.food: 0.7300, IoU.step: 0.3102, IoU.tank: 0.5012, IoU.trade name: 0.2177, IoU.microwave: 0.3885, IoU.pot: 0.4750, IoU.animal: 0.7243, IoU.bicycle: 0.5846, IoU.lake: 0.0000, IoU.dishwasher: 0.8316, IoU.screen: 0.5168, IoU.blanket: 0.3631, IoU.sculpture: 0.4583, IoU.hood: 0.6624, IoU.sconce: 0.6196, IoU.vase: 0.5305, IoU.traffic light: 0.4487, IoU.tray: 0.2402, IoU.ashcan: 0.4927, IoU.fan: 0.6839, IoU.pier: 0.1428, IoU.crt screen: 0.0555, IoU.plate: 0.5863, IoU.monitor: 0.0185, IoU.bulletin board: 0.5067, IoU.shower: 0.1605, IoU.radiator: 0.6918, IoU.glass: 0.2588, IoU.clock: 0.5199, IoU.flag: 0.4984, Acc.wall: 0.8851, Acc.building: 0.9084, Acc.sky: 0.9750, Acc.floor: 0.9033, Acc.tree: 0.8765, Acc.ceiling: 0.9263, Acc.road: 0.9259, Acc.bed : 0.9595, Acc.windowpane: 0.7968, Acc.grass: 0.7563, Acc.cabinet: 0.7493, Acc.sidewalk: 0.8065, Acc.person: 0.9335, Acc.earth: 0.5113, Acc.door: 0.7233, Acc.table: 0.8179, Acc.mountain: 0.7759, Acc.plant: 0.6773, Acc.curtain: 0.8907, Acc.chair: 0.7615, Acc.car: 0.9326, Acc.water: 0.6392, Acc.painting: 0.8976, Acc.sofa: 0.8716, Acc.shelf: 0.5711, Acc.house: 0.6108, Acc.sea: 0.9056, Acc.mirror: 0.8452, Acc.rug: 0.8494, Acc.field: 0.6282, Acc.armchair: 0.7351, Acc.seat: 0.8297, Acc.fence: 0.5933, Acc.desk: 0.7683, Acc.rock: 0.6317, Acc.wardrobe: 0.6406, Acc.lamp: 0.8324, Acc.bathtub: 0.8625, Acc.railing: 0.6275, Acc.cushion: 0.7442, Acc.base: 0.4764, Acc.box: 0.5153, Acc.column: 0.6893, Acc.signboard: 0.6512, Acc.chest of drawers: 0.6230, Acc.counter: 0.4820, Acc.sand: 0.5138, Acc.sink: 0.8946, Acc.skyscraper: 0.5849, Acc.fireplace: 0.9083, Acc.refrigerator: 0.9027, Acc.grandstand: 0.7393, Acc.path: 0.3782, Acc.stairs: 0.5831, Acc.runway: 0.9563, Acc.case: 0.7725, Acc.pool table: 0.9691, Acc.pillow: 0.8041, Acc.screen door: 0.9434, Acc.stairway: 0.5830, Acc.river: 0.2741, Acc.bridge: 0.8933, Acc.bookcase: 0.5346, Acc.blind: 0.7092, Acc.coffee table: 0.8659, Acc.toilet: 0.9165, Acc.flower: 0.6662, Acc.book: 0.7780, Acc.hill: 0.1447, Acc.bench: 0.7793, Acc.countertop: 0.7685, Acc.stove: 0.9023, Acc.palm: 0.8425, Acc.kitchen island: 0.8380, Acc.computer: 0.8178, Acc.swivel chair: 0.8186, Acc.boat: 0.9295, Acc.bar: 0.6874, Acc.arcade machine: 0.5254, Acc.hovel: 0.4876, Acc.bus: 0.9606, Acc.towel: 0.9054, Acc.light: 0.7922, Acc.truck: 0.5496, Acc.tower: 0.7710, Acc.chandelier: 0.8932, Acc.awning: 0.5869, Acc.streetlight: 0.6778, Acc.booth: 0.5976, Acc.television receiver: 0.8907, Acc.airplane: 0.7838, Acc.dirt track: 0.3271, Acc.apparel: 0.4935, Acc.pole: 0.5071, Acc.land: 0.0225, Acc.bannister: 0.2921, Acc.escalator: 0.6005, Acc.ottoman: 0.8077, Acc.bottle: 0.7596, Acc.buffet: 0.5857, Acc.poster: 0.6120, Acc.stage: 0.3172, Acc.van: 0.7171, Acc.ship: 0.1386, Acc.fountain: 0.2191, Acc.conveyer belt: 0.9087, Acc.canopy: 0.2458, Acc.washer: 0.7562, Acc.plaything: 0.5508, Acc.swimming pool: 0.7051, Acc.stool: 0.7049, Acc.barrel: 0.9793, Acc.basket: 0.6279, Acc.waterfall: 0.9189, Acc.tent: 0.9812, Acc.bag: 0.4479, Acc.minibike: 0.9120, Acc.cradle: 0.9730, Acc.oven: 0.8287, Acc.ball: 0.6705, Acc.food: 0.8841, Acc.step: 0.4442, Acc.tank: 0.6245, Acc.trade name: 0.2913, Acc.microwave: 0.4133, Acc.pot: 0.6212, Acc.animal: 0.7457, Acc.bicycle: 0.8564, Acc.lake: 0.0000, Acc.dishwasher: 0.8779, Acc.screen: 0.9034, Acc.blanket: 0.4724, Acc.sculpture: 0.8987, Acc.hood: 0.8118, Acc.sconce: 0.7685, Acc.vase: 0.7853, Acc.traffic light: 0.7575, Acc.tray: 0.4219, Acc.ashcan: 0.7510, Acc.fan: 0.8554, Acc.pier: 0.1512, Acc.crt screen: 0.1428, Acc.plate: 0.8535, Acc.monitor: 0.0256, Acc.bulletin board: 0.7182, Acc.shower: 0.2878, Acc.radiator: 0.8561, Acc.glass: 0.3144, Acc.clock: 0.6975, Acc.flag: 0.5826 2023-11-22 06:24:26,718 - mmseg - INFO - Iter [56050/160000] lr: 6.188e-06, eta: 16:58:08, time: 0.957, data_time: 0.403, memory: 38143, decode.loss_cls: 0.3419, decode.loss_mask: 0.5506, decode.loss_dice: 0.8305, decode.d0.loss_cls: 1.4902, decode.d0.loss_mask: 0.5844, decode.d0.loss_dice: 0.9424, decode.d1.loss_cls: 0.4473, decode.d1.loss_mask: 0.5697, decode.d1.loss_dice: 0.8831, decode.d2.loss_cls: 0.3834, decode.d2.loss_mask: 0.5609, decode.d2.loss_dice: 0.8628, decode.d3.loss_cls: 0.3585, decode.d3.loss_mask: 0.5552, decode.d3.loss_dice: 0.8404, decode.d4.loss_cls: 0.3544, decode.d4.loss_mask: 0.5511, decode.d4.loss_dice: 0.8407, decode.d5.loss_cls: 0.3517, decode.d5.loss_mask: 0.5498, decode.d5.loss_dice: 0.8360, decode.d6.loss_cls: 0.3580, decode.d6.loss_mask: 0.5484, decode.d6.loss_dice: 0.8282, decode.d7.loss_cls: 0.3421, decode.d7.loss_mask: 0.5501, decode.d7.loss_dice: 0.8299, decode.d8.loss_cls: 0.3439, decode.d8.loss_mask: 0.5470, decode.d8.loss_dice: 0.8302, loss: 18.8627, grad_norm: 72.8903 2023-11-22 06:24:54,849 - mmseg - INFO - Iter [56100/160000] lr: 6.185e-06, eta: 16:57:37, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3515, decode.loss_mask: 0.5886, decode.loss_dice: 0.8216, decode.d0.loss_cls: 1.4770, decode.d0.loss_mask: 0.6281, decode.d0.loss_dice: 0.9354, decode.d1.loss_cls: 0.4422, decode.d1.loss_mask: 0.6079, decode.d1.loss_dice: 0.8742, decode.d2.loss_cls: 0.3938, decode.d2.loss_mask: 0.5980, decode.d2.loss_dice: 0.8463, decode.d3.loss_cls: 0.3691, decode.d3.loss_mask: 0.5924, decode.d3.loss_dice: 0.8310, decode.d4.loss_cls: 0.3569, decode.d4.loss_mask: 0.5940, decode.d4.loss_dice: 0.8309, decode.d5.loss_cls: 0.3561, decode.d5.loss_mask: 0.5945, decode.d5.loss_dice: 0.8283, decode.d6.loss_cls: 0.3508, decode.d6.loss_mask: 0.5926, decode.d6.loss_dice: 0.8213, decode.d7.loss_cls: 0.3514, decode.d7.loss_mask: 0.5922, decode.d7.loss_dice: 0.8251, decode.d8.loss_cls: 0.3528, decode.d8.loss_mask: 0.5910, decode.d8.loss_dice: 0.8209, loss: 19.2157, grad_norm: 77.2597 2023-11-22 06:25:23,037 - mmseg - INFO - Iter [56150/160000] lr: 6.182e-06, eta: 16:57:05, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3594, decode.loss_mask: 0.5562, decode.loss_dice: 0.8398, decode.d0.loss_cls: 1.5145, decode.d0.loss_mask: 0.5888, decode.d0.loss_dice: 0.9509, decode.d1.loss_cls: 0.4621, decode.d1.loss_mask: 0.5750, decode.d1.loss_dice: 0.8880, decode.d2.loss_cls: 0.4012, decode.d2.loss_mask: 0.5630, decode.d2.loss_dice: 0.8612, decode.d3.loss_cls: 0.3787, decode.d3.loss_mask: 0.5607, decode.d3.loss_dice: 0.8433, decode.d4.loss_cls: 0.3701, decode.d4.loss_mask: 0.5621, decode.d4.loss_dice: 0.8484, decode.d5.loss_cls: 0.3692, decode.d5.loss_mask: 0.5599, decode.d5.loss_dice: 0.8464, decode.d6.loss_cls: 0.3658, decode.d6.loss_mask: 0.5576, decode.d6.loss_dice: 0.8382, decode.d7.loss_cls: 0.3607, decode.d7.loss_mask: 0.5570, decode.d7.loss_dice: 0.8361, decode.d8.loss_cls: 0.3545, decode.d8.loss_mask: 0.5571, decode.d8.loss_dice: 0.8447, loss: 19.1706, grad_norm: 69.6541 2023-11-22 06:25:51,738 - mmseg - INFO - Iter [56200/160000] lr: 6.179e-06, eta: 16:56:34, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3713, decode.loss_mask: 0.5407, decode.loss_dice: 0.8049, decode.d0.loss_cls: 1.5059, decode.d0.loss_mask: 0.5754, decode.d0.loss_dice: 0.9262, decode.d1.loss_cls: 0.4532, decode.d1.loss_mask: 0.5614, decode.d1.loss_dice: 0.8587, decode.d2.loss_cls: 0.4087, decode.d2.loss_mask: 0.5478, decode.d2.loss_dice: 0.8259, decode.d3.loss_cls: 0.3932, decode.d3.loss_mask: 0.5423, decode.d3.loss_dice: 0.8190, decode.d4.loss_cls: 0.3810, decode.d4.loss_mask: 0.5457, decode.d4.loss_dice: 0.8142, decode.d5.loss_cls: 0.3745, decode.d5.loss_mask: 0.5439, decode.d5.loss_dice: 0.8176, decode.d6.loss_cls: 0.3733, decode.d6.loss_mask: 0.5401, decode.d6.loss_dice: 0.8071, decode.d7.loss_cls: 0.3721, decode.d7.loss_mask: 0.5425, decode.d7.loss_dice: 0.8072, decode.d8.loss_cls: 0.3685, decode.d8.loss_mask: 0.5431, decode.d8.loss_dice: 0.8108, loss: 18.7760, grad_norm: 68.5655 2023-11-22 06:26:20,271 - mmseg - INFO - Iter [56250/160000] lr: 6.176e-06, eta: 16:56:03, time: 0.571, data_time: 0.012, memory: 38143, decode.loss_cls: 0.3709, decode.loss_mask: 0.5669, decode.loss_dice: 0.8425, decode.d0.loss_cls: 1.5059, decode.d0.loss_mask: 0.6109, decode.d0.loss_dice: 0.9665, decode.d1.loss_cls: 0.4792, decode.d1.loss_mask: 0.5954, decode.d1.loss_dice: 0.9112, decode.d2.loss_cls: 0.4146, decode.d2.loss_mask: 0.5792, decode.d2.loss_dice: 0.8726, decode.d3.loss_cls: 0.3926, decode.d3.loss_mask: 0.5747, decode.d3.loss_dice: 0.8520, decode.d4.loss_cls: 0.3815, decode.d4.loss_mask: 0.5730, decode.d4.loss_dice: 0.8580, decode.d5.loss_cls: 0.3774, decode.d5.loss_mask: 0.5756, decode.d5.loss_dice: 0.8569, decode.d6.loss_cls: 0.3770, decode.d6.loss_mask: 0.5708, decode.d6.loss_dice: 0.8478, decode.d7.loss_cls: 0.3651, decode.d7.loss_mask: 0.5686, decode.d7.loss_dice: 0.8501, decode.d8.loss_cls: 0.3672, decode.d8.loss_mask: 0.5684, decode.d8.loss_dice: 0.8463, loss: 19.5188, grad_norm: 78.3656 2023-11-22 06:26:48,516 - mmseg - INFO - Iter [56300/160000] lr: 6.173e-06, eta: 16:55:32, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.3545, decode.loss_mask: 0.5846, decode.loss_dice: 0.8247, decode.d0.loss_cls: 1.4684, decode.d0.loss_mask: 0.6319, decode.d0.loss_dice: 0.9448, decode.d1.loss_cls: 0.4544, decode.d1.loss_mask: 0.6108, decode.d1.loss_dice: 0.8743, decode.d2.loss_cls: 0.3930, decode.d2.loss_mask: 0.5995, decode.d2.loss_dice: 0.8461, decode.d3.loss_cls: 0.3771, decode.d3.loss_mask: 0.5934, decode.d3.loss_dice: 0.8228, decode.d4.loss_cls: 0.3686, decode.d4.loss_mask: 0.5943, decode.d4.loss_dice: 0.8299, decode.d5.loss_cls: 0.3608, decode.d5.loss_mask: 0.5923, decode.d5.loss_dice: 0.8298, decode.d6.loss_cls: 0.3570, decode.d6.loss_mask: 0.5873, decode.d6.loss_dice: 0.8225, decode.d7.loss_cls: 0.3516, decode.d7.loss_mask: 0.5875, decode.d7.loss_dice: 0.8239, decode.d8.loss_cls: 0.3518, decode.d8.loss_mask: 0.5856, decode.d8.loss_dice: 0.8194, loss: 19.2425, grad_norm: 75.9113 2023-11-22 06:27:16,758 - mmseg - INFO - Iter [56350/160000] lr: 6.170e-06, eta: 16:55:00, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3531, decode.loss_mask: 0.5614, decode.loss_dice: 0.8269, decode.d0.loss_cls: 1.4903, decode.d0.loss_mask: 0.6065, decode.d0.loss_dice: 0.9509, decode.d1.loss_cls: 0.4489, decode.d1.loss_mask: 0.5911, decode.d1.loss_dice: 0.8927, decode.d2.loss_cls: 0.4011, decode.d2.loss_mask: 0.5760, decode.d2.loss_dice: 0.8604, decode.d3.loss_cls: 0.3727, decode.d3.loss_mask: 0.5700, decode.d3.loss_dice: 0.8401, decode.d4.loss_cls: 0.3615, decode.d4.loss_mask: 0.5698, decode.d4.loss_dice: 0.8388, decode.d5.loss_cls: 0.3586, decode.d5.loss_mask: 0.5669, decode.d5.loss_dice: 0.8390, decode.d6.loss_cls: 0.3547, decode.d6.loss_mask: 0.5656, decode.d6.loss_dice: 0.8347, decode.d7.loss_cls: 0.3509, decode.d7.loss_mask: 0.5674, decode.d7.loss_dice: 0.8377, decode.d8.loss_cls: 0.3523, decode.d8.loss_mask: 0.5647, decode.d8.loss_dice: 0.8325, loss: 19.1376, grad_norm: 76.7265 2023-11-22 06:27:44,947 - mmseg - INFO - Iter [56400/160000] lr: 6.167e-06, eta: 16:54:29, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3540, decode.loss_mask: 0.5442, decode.loss_dice: 0.8040, decode.d0.loss_cls: 1.5195, decode.d0.loss_mask: 0.5887, decode.d0.loss_dice: 0.9274, decode.d1.loss_cls: 0.4527, decode.d1.loss_mask: 0.5733, decode.d1.loss_dice: 0.8660, decode.d2.loss_cls: 0.4007, decode.d2.loss_mask: 0.5603, decode.d2.loss_dice: 0.8385, decode.d3.loss_cls: 0.3769, decode.d3.loss_mask: 0.5548, decode.d3.loss_dice: 0.8163, decode.d4.loss_cls: 0.3713, decode.d4.loss_mask: 0.5499, decode.d4.loss_dice: 0.8102, decode.d5.loss_cls: 0.3657, decode.d5.loss_mask: 0.5478, decode.d5.loss_dice: 0.8148, decode.d6.loss_cls: 0.3604, decode.d6.loss_mask: 0.5470, decode.d6.loss_dice: 0.8086, decode.d7.loss_cls: 0.3573, decode.d7.loss_mask: 0.5455, decode.d7.loss_dice: 0.8125, decode.d8.loss_cls: 0.3533, decode.d8.loss_mask: 0.5478, decode.d8.loss_dice: 0.8118, loss: 18.7813, grad_norm: 68.6804 2023-11-22 06:28:13,170 - mmseg - INFO - Iter [56450/160000] lr: 6.164e-06, eta: 16:53:57, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3963, decode.loss_mask: 0.5688, decode.loss_dice: 0.8572, decode.d0.loss_cls: 1.5458, decode.d0.loss_mask: 0.6180, decode.d0.loss_dice: 0.9787, decode.d1.loss_cls: 0.4892, decode.d1.loss_mask: 0.5979, decode.d1.loss_dice: 0.9214, decode.d2.loss_cls: 0.4313, decode.d2.loss_mask: 0.5823, decode.d2.loss_dice: 0.8887, decode.d3.loss_cls: 0.4137, decode.d3.loss_mask: 0.5764, decode.d3.loss_dice: 0.8649, decode.d4.loss_cls: 0.4092, decode.d4.loss_mask: 0.5707, decode.d4.loss_dice: 0.8589, decode.d5.loss_cls: 0.4050, decode.d5.loss_mask: 0.5708, decode.d5.loss_dice: 0.8603, decode.d6.loss_cls: 0.3991, decode.d6.loss_mask: 0.5705, decode.d6.loss_dice: 0.8535, decode.d7.loss_cls: 0.4002, decode.d7.loss_mask: 0.5680, decode.d7.loss_dice: 0.8571, decode.d8.loss_cls: 0.3982, decode.d8.loss_mask: 0.5704, decode.d8.loss_dice: 0.8627, loss: 19.8852, grad_norm: 78.3272 2023-11-22 06:28:41,701 - mmseg - INFO - Iter [56500/160000] lr: 6.161e-06, eta: 16:53:26, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3724, decode.loss_mask: 0.5531, decode.loss_dice: 0.8418, decode.d0.loss_cls: 1.5309, decode.d0.loss_mask: 0.5918, decode.d0.loss_dice: 0.9540, decode.d1.loss_cls: 0.4668, decode.d1.loss_mask: 0.5783, decode.d1.loss_dice: 0.9043, decode.d2.loss_cls: 0.4094, decode.d2.loss_mask: 0.5690, decode.d2.loss_dice: 0.8781, decode.d3.loss_cls: 0.3907, decode.d3.loss_mask: 0.5589, decode.d3.loss_dice: 0.8535, decode.d4.loss_cls: 0.3858, decode.d4.loss_mask: 0.5591, decode.d4.loss_dice: 0.8497, decode.d5.loss_cls: 0.3838, decode.d5.loss_mask: 0.5587, decode.d5.loss_dice: 0.8553, decode.d6.loss_cls: 0.3808, decode.d6.loss_mask: 0.5504, decode.d6.loss_dice: 0.8390, decode.d7.loss_cls: 0.3731, decode.d7.loss_mask: 0.5514, decode.d7.loss_dice: 0.8407, decode.d8.loss_cls: 0.3731, decode.d8.loss_mask: 0.5539, decode.d8.loss_dice: 0.8454, loss: 19.3533, grad_norm: 73.0192 2023-11-22 06:29:09,907 - mmseg - INFO - Iter [56550/160000] lr: 6.158e-06, eta: 16:52:55, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3477, decode.loss_mask: 0.5788, decode.loss_dice: 0.8298, decode.d0.loss_cls: 1.4673, decode.d0.loss_mask: 0.6167, decode.d0.loss_dice: 0.9380, decode.d1.loss_cls: 0.4384, decode.d1.loss_mask: 0.6016, decode.d1.loss_dice: 0.8717, decode.d2.loss_cls: 0.3847, decode.d2.loss_mask: 0.5909, decode.d2.loss_dice: 0.8483, decode.d3.loss_cls: 0.3688, decode.d3.loss_mask: 0.5799, decode.d3.loss_dice: 0.8332, decode.d4.loss_cls: 0.3593, decode.d4.loss_mask: 0.5798, decode.d4.loss_dice: 0.8303, decode.d5.loss_cls: 0.3559, decode.d5.loss_mask: 0.5800, decode.d5.loss_dice: 0.8303, decode.d6.loss_cls: 0.3411, decode.d6.loss_mask: 0.5804, decode.d6.loss_dice: 0.8265, decode.d7.loss_cls: 0.3420, decode.d7.loss_mask: 0.5798, decode.d7.loss_dice: 0.8288, decode.d8.loss_cls: 0.3423, decode.d8.loss_mask: 0.5791, decode.d8.loss_dice: 0.8299, loss: 19.0813, grad_norm: 80.1848 2023-11-22 06:29:38,369 - mmseg - INFO - Iter [56600/160000] lr: 6.155e-06, eta: 16:52:24, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3824, decode.loss_mask: 0.5536, decode.loss_dice: 0.8246, decode.d0.loss_cls: 1.5222, decode.d0.loss_mask: 0.5943, decode.d0.loss_dice: 0.9435, decode.d1.loss_cls: 0.4767, decode.d1.loss_mask: 0.5851, decode.d1.loss_dice: 0.8852, decode.d2.loss_cls: 0.4153, decode.d2.loss_mask: 0.5692, decode.d2.loss_dice: 0.8565, decode.d3.loss_cls: 0.3969, decode.d3.loss_mask: 0.5645, decode.d3.loss_dice: 0.8402, decode.d4.loss_cls: 0.3896, decode.d4.loss_mask: 0.5621, decode.d4.loss_dice: 0.8348, decode.d5.loss_cls: 0.3831, decode.d5.loss_mask: 0.5617, decode.d5.loss_dice: 0.8379, decode.d6.loss_cls: 0.3809, decode.d6.loss_mask: 0.5575, decode.d6.loss_dice: 0.8270, decode.d7.loss_cls: 0.3778, decode.d7.loss_mask: 0.5572, decode.d7.loss_dice: 0.8245, decode.d8.loss_cls: 0.3754, decode.d8.loss_mask: 0.5563, decode.d8.loss_dice: 0.8349, loss: 19.2708, grad_norm: 75.0983 2023-11-22 06:30:06,965 - mmseg - INFO - Iter [56650/160000] lr: 6.153e-06, eta: 16:51:53, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3608, decode.loss_mask: 0.5680, decode.loss_dice: 0.8395, decode.d0.loss_cls: 1.4901, decode.d0.loss_mask: 0.6035, decode.d0.loss_dice: 0.9501, decode.d1.loss_cls: 0.4409, decode.d1.loss_mask: 0.5896, decode.d1.loss_dice: 0.8990, decode.d2.loss_cls: 0.3997, decode.d2.loss_mask: 0.5775, decode.d2.loss_dice: 0.8694, decode.d3.loss_cls: 0.3728, decode.d3.loss_mask: 0.5699, decode.d3.loss_dice: 0.8458, decode.d4.loss_cls: 0.3693, decode.d4.loss_mask: 0.5703, decode.d4.loss_dice: 0.8461, decode.d5.loss_cls: 0.3647, decode.d5.loss_mask: 0.5692, decode.d5.loss_dice: 0.8429, decode.d6.loss_cls: 0.3597, decode.d6.loss_mask: 0.5665, decode.d6.loss_dice: 0.8390, decode.d7.loss_cls: 0.3616, decode.d7.loss_mask: 0.5679, decode.d7.loss_dice: 0.8404, decode.d8.loss_cls: 0.3582, decode.d8.loss_mask: 0.5653, decode.d8.loss_dice: 0.8414, loss: 19.2392, grad_norm: 73.8036 2023-11-22 06:30:35,160 - mmseg - INFO - Iter [56700/160000] lr: 6.150e-06, eta: 16:51:22, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3406, decode.loss_mask: 0.5629, decode.loss_dice: 0.8054, decode.d0.loss_cls: 1.4722, decode.d0.loss_mask: 0.5885, decode.d0.loss_dice: 0.9080, decode.d1.loss_cls: 0.4393, decode.d1.loss_mask: 0.5820, decode.d1.loss_dice: 0.8587, decode.d2.loss_cls: 0.3886, decode.d2.loss_mask: 0.5693, decode.d2.loss_dice: 0.8316, decode.d3.loss_cls: 0.3616, decode.d3.loss_mask: 0.5630, decode.d3.loss_dice: 0.8161, decode.d4.loss_cls: 0.3549, decode.d4.loss_mask: 0.5615, decode.d4.loss_dice: 0.8153, decode.d5.loss_cls: 0.3488, decode.d5.loss_mask: 0.5623, decode.d5.loss_dice: 0.8164, decode.d6.loss_cls: 0.3465, decode.d6.loss_mask: 0.5595, decode.d6.loss_dice: 0.8074, decode.d7.loss_cls: 0.3439, decode.d7.loss_mask: 0.5600, decode.d7.loss_dice: 0.8113, decode.d8.loss_cls: 0.3448, decode.d8.loss_mask: 0.5613, decode.d8.loss_dice: 0.8162, loss: 18.6977, grad_norm: 73.7522 2023-11-22 06:31:03,678 - mmseg - INFO - Iter [56750/160000] lr: 6.147e-06, eta: 16:50:51, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3316, decode.loss_mask: 0.5619, decode.loss_dice: 0.7909, decode.d0.loss_cls: 1.4756, decode.d0.loss_mask: 0.6001, decode.d0.loss_dice: 0.8979, decode.d1.loss_cls: 0.4264, decode.d1.loss_mask: 0.5819, decode.d1.loss_dice: 0.8404, decode.d2.loss_cls: 0.3711, decode.d2.loss_mask: 0.5717, decode.d2.loss_dice: 0.8174, decode.d3.loss_cls: 0.3471, decode.d3.loss_mask: 0.5621, decode.d3.loss_dice: 0.7989, decode.d4.loss_cls: 0.3404, decode.d4.loss_mask: 0.5586, decode.d4.loss_dice: 0.7986, decode.d5.loss_cls: 0.3385, decode.d5.loss_mask: 0.5588, decode.d5.loss_dice: 0.7951, decode.d6.loss_cls: 0.3322, decode.d6.loss_mask: 0.5610, decode.d6.loss_dice: 0.7891, decode.d7.loss_cls: 0.3285, decode.d7.loss_mask: 0.5593, decode.d7.loss_dice: 0.7931, decode.d8.loss_cls: 0.3323, decode.d8.loss_mask: 0.5596, decode.d8.loss_dice: 0.7925, loss: 18.4129, grad_norm: 72.7121 2023-11-22 06:31:32,428 - mmseg - INFO - Iter [56800/160000] lr: 6.144e-06, eta: 16:50:20, time: 0.575, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3874, decode.loss_mask: 0.5846, decode.loss_dice: 0.8515, decode.d0.loss_cls: 1.5405, decode.d0.loss_mask: 0.6158, decode.d0.loss_dice: 0.9584, decode.d1.loss_cls: 0.4862, decode.d1.loss_mask: 0.6120, decode.d1.loss_dice: 0.9020, decode.d2.loss_cls: 0.4312, decode.d2.loss_mask: 0.5928, decode.d2.loss_dice: 0.8735, decode.d3.loss_cls: 0.4032, decode.d3.loss_mask: 0.5879, decode.d3.loss_dice: 0.8625, decode.d4.loss_cls: 0.3956, decode.d4.loss_mask: 0.5908, decode.d4.loss_dice: 0.8559, decode.d5.loss_cls: 0.3918, decode.d5.loss_mask: 0.5896, decode.d5.loss_dice: 0.8584, decode.d6.loss_cls: 0.3884, decode.d6.loss_mask: 0.5895, decode.d6.loss_dice: 0.8536, decode.d7.loss_cls: 0.3804, decode.d7.loss_mask: 0.5887, decode.d7.loss_dice: 0.8544, decode.d8.loss_cls: 0.3832, decode.d8.loss_mask: 0.5869, decode.d8.loss_dice: 0.8569, loss: 19.8538, grad_norm: 71.8296 2023-11-22 06:32:03,117 - mmseg - INFO - Iter [56850/160000] lr: 6.141e-06, eta: 16:49:53, time: 0.614, data_time: 0.059, memory: 38143, decode.loss_cls: 0.3397, decode.loss_mask: 0.5735, decode.loss_dice: 0.8107, decode.d0.loss_cls: 1.5093, decode.d0.loss_mask: 0.6094, decode.d0.loss_dice: 0.9186, decode.d1.loss_cls: 0.4428, decode.d1.loss_mask: 0.5967, decode.d1.loss_dice: 0.8645, decode.d2.loss_cls: 0.3815, decode.d2.loss_mask: 0.5815, decode.d2.loss_dice: 0.8357, decode.d3.loss_cls: 0.3586, decode.d3.loss_mask: 0.5765, decode.d3.loss_dice: 0.8194, decode.d4.loss_cls: 0.3554, decode.d4.loss_mask: 0.5750, decode.d4.loss_dice: 0.8150, decode.d5.loss_cls: 0.3481, decode.d5.loss_mask: 0.5763, decode.d5.loss_dice: 0.8169, decode.d6.loss_cls: 0.3519, decode.d6.loss_mask: 0.5699, decode.d6.loss_dice: 0.8117, decode.d7.loss_cls: 0.3460, decode.d7.loss_mask: 0.5717, decode.d7.loss_dice: 0.8112, decode.d8.loss_cls: 0.3404, decode.d8.loss_mask: 0.5756, decode.d8.loss_dice: 0.8128, loss: 18.8961, grad_norm: 73.8196 2023-11-22 06:32:31,526 - mmseg - INFO - Iter [56900/160000] lr: 6.138e-06, eta: 16:49:22, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3570, decode.loss_mask: 0.5361, decode.loss_dice: 0.8082, decode.d0.loss_cls: 1.4805, decode.d0.loss_mask: 0.5701, decode.d0.loss_dice: 0.9185, decode.d1.loss_cls: 0.4413, decode.d1.loss_mask: 0.5577, decode.d1.loss_dice: 0.8584, decode.d2.loss_cls: 0.3881, decode.d2.loss_mask: 0.5417, decode.d2.loss_dice: 0.8299, decode.d3.loss_cls: 0.3732, decode.d3.loss_mask: 0.5376, decode.d3.loss_dice: 0.8080, decode.d4.loss_cls: 0.3702, decode.d4.loss_mask: 0.5356, decode.d4.loss_dice: 0.8111, decode.d5.loss_cls: 0.3635, decode.d5.loss_mask: 0.5358, decode.d5.loss_dice: 0.8110, decode.d6.loss_cls: 0.3542, decode.d6.loss_mask: 0.5348, decode.d6.loss_dice: 0.8057, decode.d7.loss_cls: 0.3524, decode.d7.loss_mask: 0.5352, decode.d7.loss_dice: 0.8087, decode.d8.loss_cls: 0.3550, decode.d8.loss_mask: 0.5367, decode.d8.loss_dice: 0.8046, loss: 18.5210, grad_norm: 70.1160 2023-11-22 06:32:59,919 - mmseg - INFO - Iter [56950/160000] lr: 6.135e-06, eta: 16:48:51, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3543, decode.loss_mask: 0.5472, decode.loss_dice: 0.7921, decode.d0.loss_cls: 1.5098, decode.d0.loss_mask: 0.5913, decode.d0.loss_dice: 0.9068, decode.d1.loss_cls: 0.4457, decode.d1.loss_mask: 0.5752, decode.d1.loss_dice: 0.8483, decode.d2.loss_cls: 0.3882, decode.d2.loss_mask: 0.5616, decode.d2.loss_dice: 0.8282, decode.d3.loss_cls: 0.3716, decode.d3.loss_mask: 0.5546, decode.d3.loss_dice: 0.8001, decode.d4.loss_cls: 0.3617, decode.d4.loss_mask: 0.5585, decode.d4.loss_dice: 0.8054, decode.d5.loss_cls: 0.3569, decode.d5.loss_mask: 0.5561, decode.d5.loss_dice: 0.7988, decode.d6.loss_cls: 0.3499, decode.d6.loss_mask: 0.5519, decode.d6.loss_dice: 0.7928, decode.d7.loss_cls: 0.3518, decode.d7.loss_mask: 0.5517, decode.d7.loss_dice: 0.7908, decode.d8.loss_cls: 0.3479, decode.d8.loss_mask: 0.5501, decode.d8.loss_dice: 0.7968, loss: 18.5956, grad_norm: 73.1410 2023-11-22 06:33:28,287 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 06:33:28,287 - mmseg - INFO - Iter [57000/160000] lr: 6.132e-06, eta: 16:48:20, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.3636, decode.loss_mask: 0.5587, decode.loss_dice: 0.8384, decode.d0.loss_cls: 1.5119, decode.d0.loss_mask: 0.5971, decode.d0.loss_dice: 0.9630, decode.d1.loss_cls: 0.4489, decode.d1.loss_mask: 0.5838, decode.d1.loss_dice: 0.9024, decode.d2.loss_cls: 0.3991, decode.d2.loss_mask: 0.5726, decode.d2.loss_dice: 0.8790, decode.d3.loss_cls: 0.3816, decode.d3.loss_mask: 0.5637, decode.d3.loss_dice: 0.8575, decode.d4.loss_cls: 0.3788, decode.d4.loss_mask: 0.5637, decode.d4.loss_dice: 0.8496, decode.d5.loss_cls: 0.3740, decode.d5.loss_mask: 0.5612, decode.d5.loss_dice: 0.8481, decode.d6.loss_cls: 0.3712, decode.d6.loss_mask: 0.5600, decode.d6.loss_dice: 0.8446, decode.d7.loss_cls: 0.3657, decode.d7.loss_mask: 0.5609, decode.d7.loss_dice: 0.8429, decode.d8.loss_cls: 0.3640, decode.d8.loss_mask: 0.5598, decode.d8.loss_dice: 0.8446, loss: 19.3104, grad_norm: 76.6361 2023-11-22 06:33:56,767 - mmseg - INFO - Iter [57050/160000] lr: 6.129e-06, eta: 16:47:49, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3318, decode.loss_mask: 0.5450, decode.loss_dice: 0.8081, decode.d0.loss_cls: 1.4888, decode.d0.loss_mask: 0.5852, decode.d0.loss_dice: 0.9295, decode.d1.loss_cls: 0.4293, decode.d1.loss_mask: 0.5710, decode.d1.loss_dice: 0.8651, decode.d2.loss_cls: 0.3655, decode.d2.loss_mask: 0.5622, decode.d2.loss_dice: 0.8395, decode.d3.loss_cls: 0.3400, decode.d3.loss_mask: 0.5534, decode.d3.loss_dice: 0.8242, decode.d4.loss_cls: 0.3403, decode.d4.loss_mask: 0.5502, decode.d4.loss_dice: 0.8187, decode.d5.loss_cls: 0.3329, decode.d5.loss_mask: 0.5467, decode.d5.loss_dice: 0.8186, decode.d6.loss_cls: 0.3314, decode.d6.loss_mask: 0.5454, decode.d6.loss_dice: 0.8157, decode.d7.loss_cls: 0.3281, decode.d7.loss_mask: 0.5478, decode.d7.loss_dice: 0.8138, decode.d8.loss_cls: 0.3283, decode.d8.loss_mask: 0.5477, decode.d8.loss_dice: 0.8144, loss: 18.5188, grad_norm: 67.9468 2023-11-22 06:34:25,470 - mmseg - INFO - Iter [57100/160000] lr: 6.126e-06, eta: 16:47:18, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3661, decode.loss_mask: 0.5615, decode.loss_dice: 0.8216, decode.d0.loss_cls: 1.5159, decode.d0.loss_mask: 0.5969, decode.d0.loss_dice: 0.9353, decode.d1.loss_cls: 0.4695, decode.d1.loss_mask: 0.5792, decode.d1.loss_dice: 0.8769, decode.d2.loss_cls: 0.4062, decode.d2.loss_mask: 0.5714, decode.d2.loss_dice: 0.8560, decode.d3.loss_cls: 0.3874, decode.d3.loss_mask: 0.5656, decode.d3.loss_dice: 0.8340, decode.d4.loss_cls: 0.3833, decode.d4.loss_mask: 0.5635, decode.d4.loss_dice: 0.8326, decode.d5.loss_cls: 0.3755, decode.d5.loss_mask: 0.5628, decode.d5.loss_dice: 0.8293, decode.d6.loss_cls: 0.3720, decode.d6.loss_mask: 0.5634, decode.d6.loss_dice: 0.8233, decode.d7.loss_cls: 0.3678, decode.d7.loss_mask: 0.5618, decode.d7.loss_dice: 0.8263, decode.d8.loss_cls: 0.3712, decode.d8.loss_mask: 0.5596, decode.d8.loss_dice: 0.8177, loss: 19.1535, grad_norm: 75.2476 2023-11-22 06:34:53,860 - mmseg - INFO - Iter [57150/160000] lr: 6.123e-06, eta: 16:46:47, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3653, decode.loss_mask: 0.5624, decode.loss_dice: 0.8480, decode.d0.loss_cls: 1.5274, decode.d0.loss_mask: 0.6008, decode.d0.loss_dice: 0.9602, decode.d1.loss_cls: 0.4703, decode.d1.loss_mask: 0.5911, decode.d1.loss_dice: 0.9087, decode.d2.loss_cls: 0.4002, decode.d2.loss_mask: 0.5720, decode.d2.loss_dice: 0.8732, decode.d3.loss_cls: 0.3876, decode.d3.loss_mask: 0.5635, decode.d3.loss_dice: 0.8570, decode.d4.loss_cls: 0.3812, decode.d4.loss_mask: 0.5640, decode.d4.loss_dice: 0.8565, decode.d5.loss_cls: 0.3739, decode.d5.loss_mask: 0.5607, decode.d5.loss_dice: 0.8573, decode.d6.loss_cls: 0.3661, decode.d6.loss_mask: 0.5617, decode.d6.loss_dice: 0.8535, decode.d7.loss_cls: 0.3626, decode.d7.loss_mask: 0.5621, decode.d7.loss_dice: 0.8473, decode.d8.loss_cls: 0.3613, decode.d8.loss_mask: 0.5606, decode.d8.loss_dice: 0.8514, loss: 19.4083, grad_norm: 70.1259 2023-11-22 06:35:22,564 - mmseg - INFO - Iter [57200/160000] lr: 6.120e-06, eta: 16:46:16, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3540, decode.loss_mask: 0.5502, decode.loss_dice: 0.8007, decode.d0.loss_cls: 1.4867, decode.d0.loss_mask: 0.5889, decode.d0.loss_dice: 0.9087, decode.d1.loss_cls: 0.4477, decode.d1.loss_mask: 0.5730, decode.d1.loss_dice: 0.8483, decode.d2.loss_cls: 0.3902, decode.d2.loss_mask: 0.5602, decode.d2.loss_dice: 0.8262, decode.d3.loss_cls: 0.3736, decode.d3.loss_mask: 0.5550, decode.d3.loss_dice: 0.8080, decode.d4.loss_cls: 0.3679, decode.d4.loss_mask: 0.5547, decode.d4.loss_dice: 0.8092, decode.d5.loss_cls: 0.3637, decode.d5.loss_mask: 0.5537, decode.d5.loss_dice: 0.8102, decode.d6.loss_cls: 0.3578, decode.d6.loss_mask: 0.5488, decode.d6.loss_dice: 0.8036, decode.d7.loss_cls: 0.3546, decode.d7.loss_mask: 0.5471, decode.d7.loss_dice: 0.8045, decode.d8.loss_cls: 0.3521, decode.d8.loss_mask: 0.5512, decode.d8.loss_dice: 0.8034, loss: 18.6540, grad_norm: 67.0493 2023-11-22 06:35:50,965 - mmseg - INFO - Iter [57250/160000] lr: 6.117e-06, eta: 16:45:45, time: 0.570, data_time: 0.016, memory: 38143, decode.loss_cls: 0.3650, decode.loss_mask: 0.5670, decode.loss_dice: 0.8336, decode.d0.loss_cls: 1.5132, decode.d0.loss_mask: 0.6052, decode.d0.loss_dice: 0.9605, decode.d1.loss_cls: 0.4749, decode.d1.loss_mask: 0.5891, decode.d1.loss_dice: 0.8907, decode.d2.loss_cls: 0.4091, decode.d2.loss_mask: 0.5788, decode.d2.loss_dice: 0.8596, decode.d3.loss_cls: 0.3838, decode.d3.loss_mask: 0.5720, decode.d3.loss_dice: 0.8364, decode.d4.loss_cls: 0.3781, decode.d4.loss_mask: 0.5687, decode.d4.loss_dice: 0.8372, decode.d5.loss_cls: 0.3752, decode.d5.loss_mask: 0.5683, decode.d5.loss_dice: 0.8376, decode.d6.loss_cls: 0.3760, decode.d6.loss_mask: 0.5652, decode.d6.loss_dice: 0.8300, decode.d7.loss_cls: 0.3682, decode.d7.loss_mask: 0.5684, decode.d7.loss_dice: 0.8356, decode.d8.loss_cls: 0.3653, decode.d8.loss_mask: 0.5710, decode.d8.loss_dice: 0.8312, loss: 19.3147, grad_norm: 70.9652 2023-11-22 06:36:19,275 - mmseg - INFO - Iter [57300/160000] lr: 6.114e-06, eta: 16:45:14, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3435, decode.loss_mask: 0.5648, decode.loss_dice: 0.8355, decode.d0.loss_cls: 1.4945, decode.d0.loss_mask: 0.5956, decode.d0.loss_dice: 0.9404, decode.d1.loss_cls: 0.4427, decode.d1.loss_mask: 0.5822, decode.d1.loss_dice: 0.8856, decode.d2.loss_cls: 0.3806, decode.d2.loss_mask: 0.5694, decode.d2.loss_dice: 0.8546, decode.d3.loss_cls: 0.3592, decode.d3.loss_mask: 0.5662, decode.d3.loss_dice: 0.8373, decode.d4.loss_cls: 0.3520, decode.d4.loss_mask: 0.5671, decode.d4.loss_dice: 0.8368, decode.d5.loss_cls: 0.3458, decode.d5.loss_mask: 0.5640, decode.d5.loss_dice: 0.8400, decode.d6.loss_cls: 0.3426, decode.d6.loss_mask: 0.5643, decode.d6.loss_dice: 0.8351, decode.d7.loss_cls: 0.3404, decode.d7.loss_mask: 0.5623, decode.d7.loss_dice: 0.8351, decode.d8.loss_cls: 0.3393, decode.d8.loss_mask: 0.5645, decode.d8.loss_dice: 0.8382, loss: 18.9798, grad_norm: 72.1327 2023-11-22 06:36:47,607 - mmseg - INFO - Iter [57350/160000] lr: 6.111e-06, eta: 16:44:43, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3499, decode.loss_mask: 0.5499, decode.loss_dice: 0.8329, decode.d0.loss_cls: 1.5474, decode.d0.loss_mask: 0.5830, decode.d0.loss_dice: 0.9440, decode.d1.loss_cls: 0.4645, decode.d1.loss_mask: 0.5715, decode.d1.loss_dice: 0.8820, decode.d2.loss_cls: 0.4073, decode.d2.loss_mask: 0.5576, decode.d2.loss_dice: 0.8473, decode.d3.loss_cls: 0.3780, decode.d3.loss_mask: 0.5509, decode.d3.loss_dice: 0.8330, decode.d4.loss_cls: 0.3635, decode.d4.loss_mask: 0.5504, decode.d4.loss_dice: 0.8370, decode.d5.loss_cls: 0.3626, decode.d5.loss_mask: 0.5485, decode.d5.loss_dice: 0.8344, decode.d6.loss_cls: 0.3562, decode.d6.loss_mask: 0.5502, decode.d6.loss_dice: 0.8320, decode.d7.loss_cls: 0.3533, decode.d7.loss_mask: 0.5506, decode.d7.loss_dice: 0.8320, decode.d8.loss_cls: 0.3498, decode.d8.loss_mask: 0.5501, decode.d8.loss_dice: 0.8341, loss: 19.0038, grad_norm: 68.8746 2023-11-22 06:37:16,277 - mmseg - INFO - Iter [57400/160000] lr: 6.108e-06, eta: 16:44:12, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3379, decode.loss_mask: 0.5733, decode.loss_dice: 0.8272, decode.d0.loss_cls: 1.4385, decode.d0.loss_mask: 0.6122, decode.d0.loss_dice: 0.9365, decode.d1.loss_cls: 0.4347, decode.d1.loss_mask: 0.5944, decode.d1.loss_dice: 0.8733, decode.d2.loss_cls: 0.3756, decode.d2.loss_mask: 0.5845, decode.d2.loss_dice: 0.8527, decode.d3.loss_cls: 0.3541, decode.d3.loss_mask: 0.5773, decode.d3.loss_dice: 0.8268, decode.d4.loss_cls: 0.3481, decode.d4.loss_mask: 0.5752, decode.d4.loss_dice: 0.8287, decode.d5.loss_cls: 0.3507, decode.d5.loss_mask: 0.5733, decode.d5.loss_dice: 0.8265, decode.d6.loss_cls: 0.3428, decode.d6.loss_mask: 0.5716, decode.d6.loss_dice: 0.8232, decode.d7.loss_cls: 0.3400, decode.d7.loss_mask: 0.5724, decode.d7.loss_dice: 0.8267, decode.d8.loss_cls: 0.3410, decode.d8.loss_mask: 0.5724, decode.d8.loss_dice: 0.8262, loss: 18.9177, grad_norm: 77.3176 2023-11-22 06:37:44,688 - mmseg - INFO - Iter [57450/160000] lr: 6.105e-06, eta: 16:43:41, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3461, decode.loss_mask: 0.5432, decode.loss_dice: 0.8005, decode.d0.loss_cls: 1.4937, decode.d0.loss_mask: 0.5789, decode.d0.loss_dice: 0.9114, decode.d1.loss_cls: 0.4456, decode.d1.loss_mask: 0.5697, decode.d1.loss_dice: 0.8516, decode.d2.loss_cls: 0.3893, decode.d2.loss_mask: 0.5559, decode.d2.loss_dice: 0.8334, decode.d3.loss_cls: 0.3749, decode.d3.loss_mask: 0.5480, decode.d3.loss_dice: 0.8083, decode.d4.loss_cls: 0.3559, decode.d4.loss_mask: 0.5475, decode.d4.loss_dice: 0.8117, decode.d5.loss_cls: 0.3586, decode.d5.loss_mask: 0.5474, decode.d5.loss_dice: 0.8072, decode.d6.loss_cls: 0.3527, decode.d6.loss_mask: 0.5437, decode.d6.loss_dice: 0.8003, decode.d7.loss_cls: 0.3514, decode.d7.loss_mask: 0.5466, decode.d7.loss_dice: 0.8021, decode.d8.loss_cls: 0.3507, decode.d8.loss_mask: 0.5456, decode.d8.loss_dice: 0.8032, loss: 18.5751, grad_norm: 66.3689 2023-11-22 06:38:13,008 - mmseg - INFO - Iter [57500/160000] lr: 6.102e-06, eta: 16:43:10, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3659, decode.loss_mask: 0.5696, decode.loss_dice: 0.8256, decode.d0.loss_cls: 1.4812, decode.d0.loss_mask: 0.6072, decode.d0.loss_dice: 0.9323, decode.d1.loss_cls: 0.4612, decode.d1.loss_mask: 0.5932, decode.d1.loss_dice: 0.8719, decode.d2.loss_cls: 0.4039, decode.d2.loss_mask: 0.5786, decode.d2.loss_dice: 0.8457, decode.d3.loss_cls: 0.3873, decode.d3.loss_mask: 0.5727, decode.d3.loss_dice: 0.8330, decode.d4.loss_cls: 0.3768, decode.d4.loss_mask: 0.5708, decode.d4.loss_dice: 0.8329, decode.d5.loss_cls: 0.3745, decode.d5.loss_mask: 0.5677, decode.d5.loss_dice: 0.8337, decode.d6.loss_cls: 0.3690, decode.d6.loss_mask: 0.5707, decode.d6.loss_dice: 0.8305, decode.d7.loss_cls: 0.3633, decode.d7.loss_mask: 0.5702, decode.d7.loss_dice: 0.8284, decode.d8.loss_cls: 0.3691, decode.d8.loss_mask: 0.5689, decode.d8.loss_dice: 0.8283, loss: 19.1840, grad_norm: 72.7393 2023-11-22 06:38:41,318 - mmseg - INFO - Iter [57550/160000] lr: 6.099e-06, eta: 16:42:39, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3627, decode.loss_mask: 0.5481, decode.loss_dice: 0.8319, decode.d0.loss_cls: 1.5135, decode.d0.loss_mask: 0.5875, decode.d0.loss_dice: 0.9494, decode.d1.loss_cls: 0.4528, decode.d1.loss_mask: 0.5739, decode.d1.loss_dice: 0.8824, decode.d2.loss_cls: 0.4009, decode.d2.loss_mask: 0.5605, decode.d2.loss_dice: 0.8566, decode.d3.loss_cls: 0.3826, decode.d3.loss_mask: 0.5525, decode.d3.loss_dice: 0.8405, decode.d4.loss_cls: 0.3720, decode.d4.loss_mask: 0.5556, decode.d4.loss_dice: 0.8395, decode.d5.loss_cls: 0.3722, decode.d5.loss_mask: 0.5513, decode.d5.loss_dice: 0.8343, decode.d6.loss_cls: 0.3734, decode.d6.loss_mask: 0.5491, decode.d6.loss_dice: 0.8298, decode.d7.loss_cls: 0.3649, decode.d7.loss_mask: 0.5483, decode.d7.loss_dice: 0.8312, decode.d8.loss_cls: 0.3688, decode.d8.loss_mask: 0.5503, decode.d8.loss_dice: 0.8303, loss: 19.0668, grad_norm: 72.5397 2023-11-22 06:39:09,832 - mmseg - INFO - Iter [57600/160000] lr: 6.096e-06, eta: 16:42:08, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3597, decode.loss_mask: 0.5480, decode.loss_dice: 0.8239, decode.d0.loss_cls: 1.5108, decode.d0.loss_mask: 0.5812, decode.d0.loss_dice: 0.9450, decode.d1.loss_cls: 0.4615, decode.d1.loss_mask: 0.5681, decode.d1.loss_dice: 0.8811, decode.d2.loss_cls: 0.4021, decode.d2.loss_mask: 0.5590, decode.d2.loss_dice: 0.8467, decode.d3.loss_cls: 0.3792, decode.d3.loss_mask: 0.5479, decode.d3.loss_dice: 0.8313, decode.d4.loss_cls: 0.3719, decode.d4.loss_mask: 0.5469, decode.d4.loss_dice: 0.8325, decode.d5.loss_cls: 0.3713, decode.d5.loss_mask: 0.5476, decode.d5.loss_dice: 0.8307, decode.d6.loss_cls: 0.3688, decode.d6.loss_mask: 0.5494, decode.d6.loss_dice: 0.8253, decode.d7.loss_cls: 0.3609, decode.d7.loss_mask: 0.5461, decode.d7.loss_dice: 0.8227, decode.d8.loss_cls: 0.3614, decode.d8.loss_mask: 0.5473, decode.d8.loss_dice: 0.8243, loss: 18.9525, grad_norm: 69.3930 2023-11-22 06:39:38,241 - mmseg - INFO - Iter [57650/160000] lr: 6.093e-06, eta: 16:41:37, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3458, decode.loss_mask: 0.5629, decode.loss_dice: 0.8223, decode.d0.loss_cls: 1.5027, decode.d0.loss_mask: 0.6052, decode.d0.loss_dice: 0.9381, decode.d1.loss_cls: 0.4331, decode.d1.loss_mask: 0.5891, decode.d1.loss_dice: 0.8753, decode.d2.loss_cls: 0.3824, decode.d2.loss_mask: 0.5740, decode.d2.loss_dice: 0.8499, decode.d3.loss_cls: 0.3600, decode.d3.loss_mask: 0.5678, decode.d3.loss_dice: 0.8333, decode.d4.loss_cls: 0.3537, decode.d4.loss_mask: 0.5677, decode.d4.loss_dice: 0.8327, decode.d5.loss_cls: 0.3548, decode.d5.loss_mask: 0.5665, decode.d5.loss_dice: 0.8307, decode.d6.loss_cls: 0.3493, decode.d6.loss_mask: 0.5673, decode.d6.loss_dice: 0.8213, decode.d7.loss_cls: 0.3427, decode.d7.loss_mask: 0.5659, decode.d7.loss_dice: 0.8273, decode.d8.loss_cls: 0.3439, decode.d8.loss_mask: 0.5654, decode.d8.loss_dice: 0.8271, loss: 18.9581, grad_norm: 75.0232 2023-11-22 06:40:06,987 - mmseg - INFO - Iter [57700/160000] lr: 6.090e-06, eta: 16:41:06, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3547, decode.loss_mask: 0.5710, decode.loss_dice: 0.8276, decode.d0.loss_cls: 1.4479, decode.d0.loss_mask: 0.6083, decode.d0.loss_dice: 0.9326, decode.d1.loss_cls: 0.4422, decode.d1.loss_mask: 0.5946, decode.d1.loss_dice: 0.8876, decode.d2.loss_cls: 0.3846, decode.d2.loss_mask: 0.5780, decode.d2.loss_dice: 0.8435, decode.d3.loss_cls: 0.3681, decode.d3.loss_mask: 0.5778, decode.d3.loss_dice: 0.8295, decode.d4.loss_cls: 0.3681, decode.d4.loss_mask: 0.5735, decode.d4.loss_dice: 0.8308, decode.d5.loss_cls: 0.3601, decode.d5.loss_mask: 0.5724, decode.d5.loss_dice: 0.8331, decode.d6.loss_cls: 0.3594, decode.d6.loss_mask: 0.5720, decode.d6.loss_dice: 0.8265, decode.d7.loss_cls: 0.3575, decode.d7.loss_mask: 0.5699, decode.d7.loss_dice: 0.8245, decode.d8.loss_cls: 0.3535, decode.d8.loss_mask: 0.5705, decode.d8.loss_dice: 0.8262, loss: 19.0460, grad_norm: 74.0047 2023-11-22 06:40:35,338 - mmseg - INFO - Iter [57750/160000] lr: 6.087e-06, eta: 16:40:35, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.3710, decode.loss_mask: 0.5658, decode.loss_dice: 0.8453, decode.d0.loss_cls: 1.4917, decode.d0.loss_mask: 0.6105, decode.d0.loss_dice: 0.9659, decode.d1.loss_cls: 0.4535, decode.d1.loss_mask: 0.5899, decode.d1.loss_dice: 0.9061, decode.d2.loss_cls: 0.4018, decode.d2.loss_mask: 0.5787, decode.d2.loss_dice: 0.8721, decode.d3.loss_cls: 0.3817, decode.d3.loss_mask: 0.5754, decode.d3.loss_dice: 0.8570, decode.d4.loss_cls: 0.3759, decode.d4.loss_mask: 0.5717, decode.d4.loss_dice: 0.8567, decode.d5.loss_cls: 0.3718, decode.d5.loss_mask: 0.5681, decode.d5.loss_dice: 0.8587, decode.d6.loss_cls: 0.3709, decode.d6.loss_mask: 0.5685, decode.d6.loss_dice: 0.8503, decode.d7.loss_cls: 0.3659, decode.d7.loss_mask: 0.5671, decode.d7.loss_dice: 0.8495, decode.d8.loss_cls: 0.3698, decode.d8.loss_mask: 0.5658, decode.d8.loss_dice: 0.8460, loss: 19.4228, grad_norm: 75.3672 2023-11-22 06:41:03,665 - mmseg - INFO - Iter [57800/160000] lr: 6.084e-06, eta: 16:40:04, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3615, decode.loss_mask: 0.5443, decode.loss_dice: 0.8012, decode.d0.loss_cls: 1.5040, decode.d0.loss_mask: 0.5849, decode.d0.loss_dice: 0.9117, decode.d1.loss_cls: 0.4677, decode.d1.loss_mask: 0.5698, decode.d1.loss_dice: 0.8528, decode.d2.loss_cls: 0.3988, decode.d2.loss_mask: 0.5570, decode.d2.loss_dice: 0.8254, decode.d3.loss_cls: 0.3820, decode.d3.loss_mask: 0.5504, decode.d3.loss_dice: 0.8045, decode.d4.loss_cls: 0.3682, decode.d4.loss_mask: 0.5506, decode.d4.loss_dice: 0.8099, decode.d5.loss_cls: 0.3682, decode.d5.loss_mask: 0.5511, decode.d5.loss_dice: 0.8039, decode.d6.loss_cls: 0.3640, decode.d6.loss_mask: 0.5464, decode.d6.loss_dice: 0.8015, decode.d7.loss_cls: 0.3585, decode.d7.loss_mask: 0.5456, decode.d7.loss_dice: 0.8048, decode.d8.loss_cls: 0.3601, decode.d8.loss_mask: 0.5472, decode.d8.loss_dice: 0.8003, loss: 18.6962, grad_norm: 70.9635 2023-11-22 06:41:32,083 - mmseg - INFO - Iter [57850/160000] lr: 6.081e-06, eta: 16:39:33, time: 0.568, data_time: 0.015, memory: 38143, decode.loss_cls: 0.3506, decode.loss_mask: 0.5485, decode.loss_dice: 0.8086, decode.d0.loss_cls: 1.5331, decode.d0.loss_mask: 0.5866, decode.d0.loss_dice: 0.9250, decode.d1.loss_cls: 0.4465, decode.d1.loss_mask: 0.5719, decode.d1.loss_dice: 0.8674, decode.d2.loss_cls: 0.3872, decode.d2.loss_mask: 0.5599, decode.d2.loss_dice: 0.8398, decode.d3.loss_cls: 0.3686, decode.d3.loss_mask: 0.5492, decode.d3.loss_dice: 0.8155, decode.d4.loss_cls: 0.3620, decode.d4.loss_mask: 0.5489, decode.d4.loss_dice: 0.8158, decode.d5.loss_cls: 0.3501, decode.d5.loss_mask: 0.5479, decode.d5.loss_dice: 0.8177, decode.d6.loss_cls: 0.3521, decode.d6.loss_mask: 0.5458, decode.d6.loss_dice: 0.8115, decode.d7.loss_cls: 0.3492, decode.d7.loss_mask: 0.5474, decode.d7.loss_dice: 0.8060, decode.d8.loss_cls: 0.3495, decode.d8.loss_mask: 0.5454, decode.d8.loss_dice: 0.8079, loss: 18.7155, grad_norm: 71.9560 2023-11-22 06:42:00,274 - mmseg - INFO - Iter [57900/160000] lr: 6.078e-06, eta: 16:39:02, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3217, decode.loss_mask: 0.5695, decode.loss_dice: 0.8346, decode.d0.loss_cls: 1.4624, decode.d0.loss_mask: 0.6007, decode.d0.loss_dice: 0.9353, decode.d1.loss_cls: 0.4159, decode.d1.loss_mask: 0.5886, decode.d1.loss_dice: 0.8823, decode.d2.loss_cls: 0.3686, decode.d2.loss_mask: 0.5764, decode.d2.loss_dice: 0.8552, decode.d3.loss_cls: 0.3453, decode.d3.loss_mask: 0.5744, decode.d3.loss_dice: 0.8492, decode.d4.loss_cls: 0.3333, decode.d4.loss_mask: 0.5700, decode.d4.loss_dice: 0.8440, decode.d5.loss_cls: 0.3298, decode.d5.loss_mask: 0.5712, decode.d5.loss_dice: 0.8395, decode.d6.loss_cls: 0.3283, decode.d6.loss_mask: 0.5685, decode.d6.loss_dice: 0.8337, decode.d7.loss_cls: 0.3227, decode.d7.loss_mask: 0.5710, decode.d7.loss_dice: 0.8367, decode.d8.loss_cls: 0.3158, decode.d8.loss_mask: 0.5700, decode.d8.loss_dice: 0.8367, loss: 18.8513, grad_norm: 77.0652 2023-11-22 06:42:28,645 - mmseg - INFO - Iter [57950/160000] lr: 6.075e-06, eta: 16:38:31, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3542, decode.loss_mask: 0.5589, decode.loss_dice: 0.8147, decode.d0.loss_cls: 1.4681, decode.d0.loss_mask: 0.6070, decode.d0.loss_dice: 0.9270, decode.d1.loss_cls: 0.4414, decode.d1.loss_mask: 0.5868, decode.d1.loss_dice: 0.8702, decode.d2.loss_cls: 0.3849, decode.d2.loss_mask: 0.5700, decode.d2.loss_dice: 0.8366, decode.d3.loss_cls: 0.3653, decode.d3.loss_mask: 0.5653, decode.d3.loss_dice: 0.8249, decode.d4.loss_cls: 0.3566, decode.d4.loss_mask: 0.5640, decode.d4.loss_dice: 0.8241, decode.d5.loss_cls: 0.3582, decode.d5.loss_mask: 0.5619, decode.d5.loss_dice: 0.8161, decode.d6.loss_cls: 0.3550, decode.d6.loss_mask: 0.5601, decode.d6.loss_dice: 0.8160, decode.d7.loss_cls: 0.3536, decode.d7.loss_mask: 0.5584, decode.d7.loss_dice: 0.8111, decode.d8.loss_cls: 0.3531, decode.d8.loss_mask: 0.5588, decode.d8.loss_dice: 0.8083, loss: 18.8304, grad_norm: 71.1165 2023-11-22 06:42:57,128 - mmseg - INFO - Saving checkpoint at 58000 iterations 2023-11-22 06:43:05,052 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 06:43:05,052 - mmseg - INFO - Iter [58000/160000] lr: 6.072e-06, eta: 16:38:14, time: 0.728, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3781, decode.loss_mask: 0.5327, decode.loss_dice: 0.8030, decode.d0.loss_cls: 1.5401, decode.d0.loss_mask: 0.5732, decode.d0.loss_dice: 0.9206, decode.d1.loss_cls: 0.4802, decode.d1.loss_mask: 0.5518, decode.d1.loss_dice: 0.8624, decode.d2.loss_cls: 0.4214, decode.d2.loss_mask: 0.5458, decode.d2.loss_dice: 0.8302, decode.d3.loss_cls: 0.3957, decode.d3.loss_mask: 0.5395, decode.d3.loss_dice: 0.8157, decode.d4.loss_cls: 0.3831, decode.d4.loss_mask: 0.5371, decode.d4.loss_dice: 0.8153, decode.d5.loss_cls: 0.3838, decode.d5.loss_mask: 0.5373, decode.d5.loss_dice: 0.8128, decode.d6.loss_cls: 0.3800, decode.d6.loss_mask: 0.5347, decode.d6.loss_dice: 0.8061, decode.d7.loss_cls: 0.3748, decode.d7.loss_mask: 0.5336, decode.d7.loss_dice: 0.7991, decode.d8.loss_cls: 0.3774, decode.d8.loss_mask: 0.5336, decode.d8.loss_dice: 0.8055, loss: 18.8048, grad_norm: 68.5306 2023-11-22 06:43:24,861 - mmseg - INFO - per class results: 2023-11-22 06:43:24,866 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.79 | 86.16 | | building | 83.26 | 91.19 | | sky | 95.02 | 97.43 | | floor | 84.97 | 89.96 | | tree | 76.56 | 87.87 | | ceiling | 85.93 | 92.79 | | road | 84.97 | 93.07 | | bed | 91.25 | 96.22 | | windowpane | 62.33 | 80.05 | | grass | 67.08 | 83.39 | | cabinet | 62.66 | 75.34 | | sidewalk | 66.37 | 78.1 | | person | 86.81 | 93.61 | | earth | 39.98 | 51.11 | | door | 53.35 | 75.19 | | table | 69.48 | 85.13 | | mountain | 64.72 | 72.9 | | plant | 52.12 | 64.81 | | curtain | 78.85 | 88.15 | | chair | 66.13 | 77.06 | | car | 86.71 | 93.84 | | water | 58.69 | 74.88 | | painting | 73.15 | 89.55 | | sofa | 73.31 | 85.16 | | shelf | 44.0 | 57.17 | | house | 47.15 | 80.41 | | sea | 61.29 | 83.55 | | mirror | 69.53 | 83.3 | | rug | 68.42 | 82.24 | | field | 33.28 | 58.77 | | armchair | 52.75 | 74.88 | | seat | 63.82 | 85.67 | | fence | 46.23 | 68.69 | | desk | 58.9 | 72.85 | | rock | 49.29 | 70.38 | | wardrobe | 46.46 | 69.49 | | lamp | 72.2 | 81.42 | | bathtub | 78.1 | 83.94 | | railing | 41.71 | 70.61 | | cushion | 68.57 | 78.83 | | base | 34.42 | 48.33 | | box | 35.19 | 50.37 | | column | 54.87 | 69.88 | | signboard | 40.43 | 62.06 | | chest of drawers | 45.07 | 71.51 | | counter | 44.06 | 54.54 | | sand | 37.52 | 51.03 | | sink | 82.53 | 91.96 | | skyscraper | 38.56 | 42.56 | | fireplace | 79.2 | 90.72 | | refrigerator | 76.23 | 93.05 | | grandstand | 49.38 | 82.61 | | path | 19.68 | 37.05 | | stairs | 34.92 | 43.21 | | runway | 76.73 | 97.23 | | case | 51.27 | 88.57 | | pool table | 94.49 | 97.37 | | pillow | 64.58 | 78.89 | | screen door | 60.59 | 75.71 | | stairway | 35.65 | 53.64 | | river | 17.59 | 20.34 | | bridge | 80.81 | 89.24 | | bookcase | 30.62 | 49.47 | | blind | 46.65 | 59.79 | | coffee table | 73.38 | 87.84 | | toilet | 89.5 | 92.5 | | flower | 44.04 | 62.77 | | book | 49.85 | 82.23 | | hill | 12.95 | 42.54 | | bench | 62.42 | 80.65 | | countertop | 59.02 | 70.18 | | stove | 81.34 | 86.05 | | palm | 53.52 | 78.17 | | kitchen island | 51.08 | 75.69 | | computer | 77.34 | 87.17 | | swivel chair | 55.42 | 77.05 | | boat | 50.06 | 92.71 | | bar | 64.44 | 74.73 | | arcade machine | 75.03 | 80.24 | | hovel | 43.92 | 48.6 | | bus | 92.09 | 96.92 | | towel | 75.88 | 90.32 | | light | 64.02 | 79.75 | | truck | 42.64 | 53.22 | | tower | 33.5 | 57.73 | | chandelier | 69.89 | 86.69 | | awning | 41.24 | 51.83 | | streetlight | 47.12 | 61.68 | | booth | 32.25 | 42.45 | | television receiver | 83.46 | 90.1 | | airplane | 71.19 | 76.68 | | dirt track | 10.06 | 44.76 | | apparel | 36.68 | 50.8 | | pole | 31.85 | 54.15 | | land | 5.32 | 5.57 | | bannister | 18.04 | 28.65 | | escalator | 66.26 | 83.84 | | ottoman | 52.98 | 78.22 | | bottle | 45.11 | 78.96 | | buffet | 39.81 | 47.32 | | poster | 30.04 | 40.35 | | stage | 21.69 | 48.21 | | van | 35.52 | 51.73 | | ship | 11.88 | 12.52 | | fountain | 21.44 | 21.83 | | conveyer belt | 75.84 | 89.81 | | canopy | 34.39 | 64.99 | | washer | 70.57 | 74.4 | | plaything | 44.41 | 56.1 | | swimming pool | 68.21 | 69.91 | | stool | 53.99 | 70.69 | | barrel | 61.29 | 87.18 | | basket | 46.36 | 62.86 | | waterfall | 57.28 | 80.59 | | tent | 91.43 | 98.18 | | bag | 29.5 | 41.55 | | minibike | 69.96 | 89.46 | | cradle | 80.06 | 97.88 | | oven | 23.94 | 68.87 | | ball | 39.32 | 41.7 | | food | 64.88 | 69.75 | | step | 26.8 | 41.34 | | tank | 52.61 | 65.23 | | trade name | 23.51 | 30.27 | | microwave | 41.43 | 46.78 | | pot | 55.45 | 69.7 | | animal | 70.26 | 72.22 | | bicycle | 60.46 | 84.59 | | lake | 0.25 | 0.36 | | dishwasher | 80.55 | 89.03 | | screen | 60.44 | 92.67 | | blanket | 34.72 | 46.27 | | sculpture | 51.67 | 89.77 | | hood | 64.72 | 77.1 | | sconce | 62.98 | 78.05 | | vase | 54.47 | 74.48 | | traffic light | 42.48 | 62.43 | | tray | 21.47 | 29.01 | | ashcan | 50.98 | 73.35 | | fan | 72.28 | 81.8 | | pier | 37.25 | 39.1 | | crt screen | 4.12 | 13.09 | | plate | 62.57 | 81.48 | | monitor | 1.79 | 2.18 | | bulletin board | 62.45 | 78.24 | | shower | 2.74 | 28.02 | | radiator | 63.31 | 91.46 | | glass | 25.17 | 27.79 | | clock | 53.8 | 69.88 | | flag | 72.82 | 85.82 | +---------------------+-------+-------+ 2023-11-22 06:43:24,866 - mmseg - INFO - Summary: 2023-11-22 06:43:24,866 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.57 | 54.16 | 68.95 | +-------+-------+-------+ 2023-11-22 06:43:24,867 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 06:43:24,867 - mmseg - INFO - Iter(val) [250] aAcc: 0.8457, mIoU: 0.5416, mAcc: 0.6895, IoU.wall: 0.7979, IoU.building: 0.8326, IoU.sky: 0.9502, IoU.floor: 0.8497, IoU.tree: 0.7656, IoU.ceiling: 0.8593, IoU.road: 0.8497, IoU.bed : 0.9125, IoU.windowpane: 0.6233, IoU.grass: 0.6708, IoU.cabinet: 0.6266, IoU.sidewalk: 0.6637, IoU.person: 0.8681, IoU.earth: 0.3998, IoU.door: 0.5335, IoU.table: 0.6948, IoU.mountain: 0.6472, IoU.plant: 0.5212, IoU.curtain: 0.7885, IoU.chair: 0.6613, IoU.car: 0.8671, IoU.water: 0.5869, IoU.painting: 0.7315, IoU.sofa: 0.7331, IoU.shelf: 0.4400, IoU.house: 0.4715, IoU.sea: 0.6129, IoU.mirror: 0.6953, IoU.rug: 0.6842, IoU.field: 0.3328, IoU.armchair: 0.5275, IoU.seat: 0.6382, IoU.fence: 0.4623, IoU.desk: 0.5890, IoU.rock: 0.4929, IoU.wardrobe: 0.4646, IoU.lamp: 0.7220, IoU.bathtub: 0.7810, IoU.railing: 0.4171, IoU.cushion: 0.6857, IoU.base: 0.3442, IoU.box: 0.3519, IoU.column: 0.5487, IoU.signboard: 0.4043, IoU.chest of drawers: 0.4507, IoU.counter: 0.4406, IoU.sand: 0.3752, IoU.sink: 0.8253, IoU.skyscraper: 0.3856, IoU.fireplace: 0.7920, IoU.refrigerator: 0.7623, IoU.grandstand: 0.4938, IoU.path: 0.1968, IoU.stairs: 0.3492, IoU.runway: 0.7673, IoU.case: 0.5127, IoU.pool table: 0.9449, IoU.pillow: 0.6458, IoU.screen door: 0.6059, IoU.stairway: 0.3565, IoU.river: 0.1759, IoU.bridge: 0.8081, IoU.bookcase: 0.3062, IoU.blind: 0.4665, IoU.coffee table: 0.7338, IoU.toilet: 0.8950, IoU.flower: 0.4404, IoU.book: 0.4985, IoU.hill: 0.1295, IoU.bench: 0.6242, IoU.countertop: 0.5902, IoU.stove: 0.8134, IoU.palm: 0.5352, IoU.kitchen island: 0.5108, IoU.computer: 0.7734, IoU.swivel chair: 0.5542, IoU.boat: 0.5006, IoU.bar: 0.6444, IoU.arcade machine: 0.7503, IoU.hovel: 0.4392, IoU.bus: 0.9209, IoU.towel: 0.7588, IoU.light: 0.6402, IoU.truck: 0.4264, IoU.tower: 0.3350, IoU.chandelier: 0.6989, IoU.awning: 0.4124, IoU.streetlight: 0.4712, IoU.booth: 0.3225, IoU.television receiver: 0.8346, IoU.airplane: 0.7119, IoU.dirt track: 0.1006, IoU.apparel: 0.3668, IoU.pole: 0.3185, IoU.land: 0.0532, IoU.bannister: 0.1804, IoU.escalator: 0.6626, IoU.ottoman: 0.5298, IoU.bottle: 0.4511, IoU.buffet: 0.3981, IoU.poster: 0.3004, IoU.stage: 0.2169, IoU.van: 0.3552, IoU.ship: 0.1188, IoU.fountain: 0.2144, IoU.conveyer belt: 0.7584, IoU.canopy: 0.3439, IoU.washer: 0.7057, IoU.plaything: 0.4441, IoU.swimming pool: 0.6821, IoU.stool: 0.5399, IoU.barrel: 0.6129, IoU.basket: 0.4636, IoU.waterfall: 0.5728, IoU.tent: 0.9143, IoU.bag: 0.2950, IoU.minibike: 0.6996, IoU.cradle: 0.8006, IoU.oven: 0.2394, IoU.ball: 0.3932, IoU.food: 0.6488, IoU.step: 0.2680, IoU.tank: 0.5261, IoU.trade name: 0.2351, IoU.microwave: 0.4143, IoU.pot: 0.5545, IoU.animal: 0.7026, IoU.bicycle: 0.6046, IoU.lake: 0.0025, IoU.dishwasher: 0.8055, IoU.screen: 0.6044, IoU.blanket: 0.3472, IoU.sculpture: 0.5167, IoU.hood: 0.6472, IoU.sconce: 0.6298, IoU.vase: 0.5447, IoU.traffic light: 0.4248, IoU.tray: 0.2147, IoU.ashcan: 0.5098, IoU.fan: 0.7228, IoU.pier: 0.3725, IoU.crt screen: 0.0412, IoU.plate: 0.6257, IoU.monitor: 0.0179, IoU.bulletin board: 0.6245, IoU.shower: 0.0274, IoU.radiator: 0.6331, IoU.glass: 0.2517, IoU.clock: 0.5380, IoU.flag: 0.7282, Acc.wall: 0.8616, Acc.building: 0.9119, Acc.sky: 0.9743, Acc.floor: 0.8996, Acc.tree: 0.8787, Acc.ceiling: 0.9279, Acc.road: 0.9307, Acc.bed : 0.9622, Acc.windowpane: 0.8005, Acc.grass: 0.8339, Acc.cabinet: 0.7534, Acc.sidewalk: 0.7810, Acc.person: 0.9361, Acc.earth: 0.5111, Acc.door: 0.7519, Acc.table: 0.8513, Acc.mountain: 0.7290, Acc.plant: 0.6481, Acc.curtain: 0.8815, Acc.chair: 0.7706, Acc.car: 0.9384, Acc.water: 0.7488, Acc.painting: 0.8955, Acc.sofa: 0.8516, Acc.shelf: 0.5717, Acc.house: 0.8041, Acc.sea: 0.8355, Acc.mirror: 0.8330, Acc.rug: 0.8224, Acc.field: 0.5877, Acc.armchair: 0.7488, Acc.seat: 0.8567, Acc.fence: 0.6869, Acc.desk: 0.7285, Acc.rock: 0.7038, Acc.wardrobe: 0.6949, Acc.lamp: 0.8142, Acc.bathtub: 0.8394, Acc.railing: 0.7061, Acc.cushion: 0.7883, Acc.base: 0.4833, Acc.box: 0.5037, Acc.column: 0.6988, Acc.signboard: 0.6206, Acc.chest of drawers: 0.7151, Acc.counter: 0.5454, Acc.sand: 0.5103, Acc.sink: 0.9196, Acc.skyscraper: 0.4256, Acc.fireplace: 0.9072, Acc.refrigerator: 0.9305, Acc.grandstand: 0.8261, Acc.path: 0.3705, Acc.stairs: 0.4321, Acc.runway: 0.9723, Acc.case: 0.8857, Acc.pool table: 0.9737, Acc.pillow: 0.7889, Acc.screen door: 0.7571, Acc.stairway: 0.5364, Acc.river: 0.2034, Acc.bridge: 0.8924, Acc.bookcase: 0.4947, Acc.blind: 0.5979, Acc.coffee table: 0.8784, Acc.toilet: 0.9250, Acc.flower: 0.6277, Acc.book: 0.8223, Acc.hill: 0.4254, Acc.bench: 0.8065, Acc.countertop: 0.7018, Acc.stove: 0.8605, Acc.palm: 0.7817, Acc.kitchen island: 0.7569, Acc.computer: 0.8717, Acc.swivel chair: 0.7705, Acc.boat: 0.9271, Acc.bar: 0.7473, Acc.arcade machine: 0.8024, Acc.hovel: 0.4860, Acc.bus: 0.9692, Acc.towel: 0.9032, Acc.light: 0.7975, Acc.truck: 0.5322, Acc.tower: 0.5773, Acc.chandelier: 0.8669, Acc.awning: 0.5183, Acc.streetlight: 0.6168, Acc.booth: 0.4245, Acc.television receiver: 0.9010, Acc.airplane: 0.7668, Acc.dirt track: 0.4476, Acc.apparel: 0.5080, Acc.pole: 0.5415, Acc.land: 0.0557, Acc.bannister: 0.2865, Acc.escalator: 0.8384, Acc.ottoman: 0.7822, Acc.bottle: 0.7896, Acc.buffet: 0.4732, Acc.poster: 0.4035, Acc.stage: 0.4821, Acc.van: 0.5173, Acc.ship: 0.1252, Acc.fountain: 0.2183, Acc.conveyer belt: 0.8981, Acc.canopy: 0.6499, Acc.washer: 0.7440, Acc.plaything: 0.5610, Acc.swimming pool: 0.6991, Acc.stool: 0.7069, Acc.barrel: 0.8718, Acc.basket: 0.6286, Acc.waterfall: 0.8059, Acc.tent: 0.9818, Acc.bag: 0.4155, Acc.minibike: 0.8946, Acc.cradle: 0.9788, Acc.oven: 0.6887, Acc.ball: 0.4170, Acc.food: 0.6975, Acc.step: 0.4134, Acc.tank: 0.6523, Acc.trade name: 0.3027, Acc.microwave: 0.4678, Acc.pot: 0.6970, Acc.animal: 0.7222, Acc.bicycle: 0.8459, Acc.lake: 0.0036, Acc.dishwasher: 0.8903, Acc.screen: 0.9267, Acc.blanket: 0.4627, Acc.sculpture: 0.8977, Acc.hood: 0.7710, Acc.sconce: 0.7805, Acc.vase: 0.7448, Acc.traffic light: 0.6243, Acc.tray: 0.2901, Acc.ashcan: 0.7335, Acc.fan: 0.8180, Acc.pier: 0.3910, Acc.crt screen: 0.1309, Acc.plate: 0.8148, Acc.monitor: 0.0218, Acc.bulletin board: 0.7824, Acc.shower: 0.2802, Acc.radiator: 0.9146, Acc.glass: 0.2779, Acc.clock: 0.6988, Acc.flag: 0.8582 2023-11-22 06:43:53,055 - mmseg - INFO - Iter [58050/160000] lr: 6.069e-06, eta: 16:38:17, time: 0.960, data_time: 0.410, memory: 38143, decode.loss_cls: 0.3446, decode.loss_mask: 0.5767, decode.loss_dice: 0.8292, decode.d0.loss_cls: 1.4889, decode.d0.loss_mask: 0.6130, decode.d0.loss_dice: 0.9407, decode.d1.loss_cls: 0.4427, decode.d1.loss_mask: 0.5989, decode.d1.loss_dice: 0.8791, decode.d2.loss_cls: 0.3895, decode.d2.loss_mask: 0.5831, decode.d2.loss_dice: 0.8495, decode.d3.loss_cls: 0.3674, decode.d3.loss_mask: 0.5807, decode.d3.loss_dice: 0.8325, decode.d4.loss_cls: 0.3607, decode.d4.loss_mask: 0.5785, decode.d4.loss_dice: 0.8356, decode.d5.loss_cls: 0.3530, decode.d5.loss_mask: 0.5812, decode.d5.loss_dice: 0.8371, decode.d6.loss_cls: 0.3476, decode.d6.loss_mask: 0.5811, decode.d6.loss_dice: 0.8287, decode.d7.loss_cls: 0.3476, decode.d7.loss_mask: 0.5780, decode.d7.loss_dice: 0.8281, decode.d8.loss_cls: 0.3450, decode.d8.loss_mask: 0.5760, decode.d8.loss_dice: 0.8326, loss: 19.1275, grad_norm: 76.6923 2023-11-22 06:44:23,739 - mmseg - INFO - Iter [58100/160000] lr: 6.066e-06, eta: 16:37:50, time: 0.614, data_time: 0.059, memory: 38143, decode.loss_cls: 0.3542, decode.loss_mask: 0.5461, decode.loss_dice: 0.8397, decode.d0.loss_cls: 1.5259, decode.d0.loss_mask: 0.5825, decode.d0.loss_dice: 0.9594, decode.d1.loss_cls: 0.4657, decode.d1.loss_mask: 0.5637, decode.d1.loss_dice: 0.8937, decode.d2.loss_cls: 0.3994, decode.d2.loss_mask: 0.5557, decode.d2.loss_dice: 0.8649, decode.d3.loss_cls: 0.3727, decode.d3.loss_mask: 0.5462, decode.d3.loss_dice: 0.8477, decode.d4.loss_cls: 0.3709, decode.d4.loss_mask: 0.5434, decode.d4.loss_dice: 0.8471, decode.d5.loss_cls: 0.3663, decode.d5.loss_mask: 0.5403, decode.d5.loss_dice: 0.8400, decode.d6.loss_cls: 0.3619, decode.d6.loss_mask: 0.5419, decode.d6.loss_dice: 0.8338, decode.d7.loss_cls: 0.3524, decode.d7.loss_mask: 0.5420, decode.d7.loss_dice: 0.8395, decode.d8.loss_cls: 0.3568, decode.d8.loss_mask: 0.5457, decode.d8.loss_dice: 0.8379, loss: 19.0373, grad_norm: 66.4263 2023-11-22 06:44:51,985 - mmseg - INFO - Iter [58150/160000] lr: 6.063e-06, eta: 16:37:19, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3498, decode.loss_mask: 0.5443, decode.loss_dice: 0.8112, decode.d0.loss_cls: 1.4794, decode.d0.loss_mask: 0.5859, decode.d0.loss_dice: 0.9174, decode.d1.loss_cls: 0.4447, decode.d1.loss_mask: 0.5690, decode.d1.loss_dice: 0.8551, decode.d2.loss_cls: 0.3878, decode.d2.loss_mask: 0.5608, decode.d2.loss_dice: 0.8317, decode.d3.loss_cls: 0.3679, decode.d3.loss_mask: 0.5514, decode.d3.loss_dice: 0.8210, decode.d4.loss_cls: 0.3579, decode.d4.loss_mask: 0.5492, decode.d4.loss_dice: 0.8205, decode.d5.loss_cls: 0.3600, decode.d5.loss_mask: 0.5479, decode.d5.loss_dice: 0.8218, decode.d6.loss_cls: 0.3579, decode.d6.loss_mask: 0.5478, decode.d6.loss_dice: 0.8087, decode.d7.loss_cls: 0.3519, decode.d7.loss_mask: 0.5455, decode.d7.loss_dice: 0.8143, decode.d8.loss_cls: 0.3523, decode.d8.loss_mask: 0.5458, decode.d8.loss_dice: 0.8160, loss: 18.6748, grad_norm: 74.3081 2023-11-22 06:45:20,361 - mmseg - INFO - Iter [58200/160000] lr: 6.060e-06, eta: 16:36:48, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3410, decode.loss_mask: 0.5568, decode.loss_dice: 0.8207, decode.d0.loss_cls: 1.4779, decode.d0.loss_mask: 0.5933, decode.d0.loss_dice: 0.9390, decode.d1.loss_cls: 0.4403, decode.d1.loss_mask: 0.5771, decode.d1.loss_dice: 0.8733, decode.d2.loss_cls: 0.3785, decode.d2.loss_mask: 0.5625, decode.d2.loss_dice: 0.8453, decode.d3.loss_cls: 0.3574, decode.d3.loss_mask: 0.5562, decode.d3.loss_dice: 0.8281, decode.d4.loss_cls: 0.3521, decode.d4.loss_mask: 0.5569, decode.d4.loss_dice: 0.8260, decode.d5.loss_cls: 0.3532, decode.d5.loss_mask: 0.5583, decode.d5.loss_dice: 0.8264, decode.d6.loss_cls: 0.3403, decode.d6.loss_mask: 0.5575, decode.d6.loss_dice: 0.8184, decode.d7.loss_cls: 0.3387, decode.d7.loss_mask: 0.5551, decode.d7.loss_dice: 0.8228, decode.d8.loss_cls: 0.3352, decode.d8.loss_mask: 0.5563, decode.d8.loss_dice: 0.8193, loss: 18.7638, grad_norm: 64.9720 2023-11-22 06:45:48,911 - mmseg - INFO - Iter [58250/160000] lr: 6.057e-06, eta: 16:36:17, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3315, decode.loss_mask: 0.5632, decode.loss_dice: 0.8428, decode.d0.loss_cls: 1.4718, decode.d0.loss_mask: 0.6049, decode.d0.loss_dice: 0.9669, decode.d1.loss_cls: 0.4229, decode.d1.loss_mask: 0.5917, decode.d1.loss_dice: 0.9071, decode.d2.loss_cls: 0.3738, decode.d2.loss_mask: 0.5783, decode.d2.loss_dice: 0.8712, decode.d3.loss_cls: 0.3559, decode.d3.loss_mask: 0.5685, decode.d3.loss_dice: 0.8549, decode.d4.loss_cls: 0.3433, decode.d4.loss_mask: 0.5700, decode.d4.loss_dice: 0.8509, decode.d5.loss_cls: 0.3420, decode.d5.loss_mask: 0.5664, decode.d5.loss_dice: 0.8454, decode.d6.loss_cls: 0.3404, decode.d6.loss_mask: 0.5656, decode.d6.loss_dice: 0.8389, decode.d7.loss_cls: 0.3318, decode.d7.loss_mask: 0.5645, decode.d7.loss_dice: 0.8415, decode.d8.loss_cls: 0.3365, decode.d8.loss_mask: 0.5634, decode.d8.loss_dice: 0.8417, loss: 19.0474, grad_norm: 73.6905 2023-11-22 06:46:17,289 - mmseg - INFO - Iter [58300/160000] lr: 6.054e-06, eta: 16:35:46, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3228, decode.loss_mask: 0.5566, decode.loss_dice: 0.7984, decode.d0.loss_cls: 1.4244, decode.d0.loss_mask: 0.5810, decode.d0.loss_dice: 0.8992, decode.d1.loss_cls: 0.4041, decode.d1.loss_mask: 0.5731, decode.d1.loss_dice: 0.8501, decode.d2.loss_cls: 0.3558, decode.d2.loss_mask: 0.5611, decode.d2.loss_dice: 0.8296, decode.d3.loss_cls: 0.3404, decode.d3.loss_mask: 0.5543, decode.d3.loss_dice: 0.8120, decode.d4.loss_cls: 0.3342, decode.d4.loss_mask: 0.5555, decode.d4.loss_dice: 0.8065, decode.d5.loss_cls: 0.3288, decode.d5.loss_mask: 0.5556, decode.d5.loss_dice: 0.8067, decode.d6.loss_cls: 0.3275, decode.d6.loss_mask: 0.5546, decode.d6.loss_dice: 0.7941, decode.d7.loss_cls: 0.3233, decode.d7.loss_mask: 0.5573, decode.d7.loss_dice: 0.8008, decode.d8.loss_cls: 0.3215, decode.d8.loss_mask: 0.5534, decode.d8.loss_dice: 0.8010, loss: 18.2836, grad_norm: 81.6739 2023-11-22 06:46:45,538 - mmseg - INFO - Iter [58350/160000] lr: 6.051e-06, eta: 16:35:14, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3458, decode.loss_mask: 0.5566, decode.loss_dice: 0.8044, decode.d0.loss_cls: 1.4599, decode.d0.loss_mask: 0.5994, decode.d0.loss_dice: 0.9134, decode.d1.loss_cls: 0.4343, decode.d1.loss_mask: 0.5872, decode.d1.loss_dice: 0.8580, decode.d2.loss_cls: 0.3834, decode.d2.loss_mask: 0.5709, decode.d2.loss_dice: 0.8277, decode.d3.loss_cls: 0.3690, decode.d3.loss_mask: 0.5648, decode.d3.loss_dice: 0.8092, decode.d4.loss_cls: 0.3654, decode.d4.loss_mask: 0.5611, decode.d4.loss_dice: 0.8071, decode.d5.loss_cls: 0.3573, decode.d5.loss_mask: 0.5606, decode.d5.loss_dice: 0.8091, decode.d6.loss_cls: 0.3530, decode.d6.loss_mask: 0.5579, decode.d6.loss_dice: 0.8001, decode.d7.loss_cls: 0.3514, decode.d7.loss_mask: 0.5585, decode.d7.loss_dice: 0.8093, decode.d8.loss_cls: 0.3521, decode.d8.loss_mask: 0.5556, decode.d8.loss_dice: 0.8050, loss: 18.6872, grad_norm: 73.4111 2023-11-22 06:47:13,865 - mmseg - INFO - Iter [58400/160000] lr: 6.048e-06, eta: 16:34:43, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3488, decode.loss_mask: 0.5427, decode.loss_dice: 0.8134, decode.d0.loss_cls: 1.4841, decode.d0.loss_mask: 0.5801, decode.d0.loss_dice: 0.9241, decode.d1.loss_cls: 0.4541, decode.d1.loss_mask: 0.5707, decode.d1.loss_dice: 0.8667, decode.d2.loss_cls: 0.3901, decode.d2.loss_mask: 0.5522, decode.d2.loss_dice: 0.8408, decode.d3.loss_cls: 0.3657, decode.d3.loss_mask: 0.5448, decode.d3.loss_dice: 0.8258, decode.d4.loss_cls: 0.3544, decode.d4.loss_mask: 0.5447, decode.d4.loss_dice: 0.8280, decode.d5.loss_cls: 0.3533, decode.d5.loss_mask: 0.5435, decode.d5.loss_dice: 0.8242, decode.d6.loss_cls: 0.3458, decode.d6.loss_mask: 0.5424, decode.d6.loss_dice: 0.8191, decode.d7.loss_cls: 0.3463, decode.d7.loss_mask: 0.5464, decode.d7.loss_dice: 0.8151, decode.d8.loss_cls: 0.3491, decode.d8.loss_mask: 0.5456, decode.d8.loss_dice: 0.8171, loss: 18.6792, grad_norm: 67.5145 2023-11-22 06:47:42,032 - mmseg - INFO - Iter [58450/160000] lr: 6.045e-06, eta: 16:34:12, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3450, decode.loss_mask: 0.5469, decode.loss_dice: 0.8165, decode.d0.loss_cls: 1.4870, decode.d0.loss_mask: 0.5884, decode.d0.loss_dice: 0.9303, decode.d1.loss_cls: 0.4356, decode.d1.loss_mask: 0.5729, decode.d1.loss_dice: 0.8741, decode.d2.loss_cls: 0.3859, decode.d2.loss_mask: 0.5651, decode.d2.loss_dice: 0.8448, decode.d3.loss_cls: 0.3635, decode.d3.loss_mask: 0.5549, decode.d3.loss_dice: 0.8278, decode.d4.loss_cls: 0.3474, decode.d4.loss_mask: 0.5550, decode.d4.loss_dice: 0.8267, decode.d5.loss_cls: 0.3512, decode.d5.loss_mask: 0.5555, decode.d5.loss_dice: 0.8271, decode.d6.loss_cls: 0.3505, decode.d6.loss_mask: 0.5491, decode.d6.loss_dice: 0.8237, decode.d7.loss_cls: 0.3467, decode.d7.loss_mask: 0.5461, decode.d7.loss_dice: 0.8199, decode.d8.loss_cls: 0.3438, decode.d8.loss_mask: 0.5488, decode.d8.loss_dice: 0.8204, loss: 18.7508, grad_norm: 72.8110 2023-11-22 06:48:10,405 - mmseg - INFO - Iter [58500/160000] lr: 6.042e-06, eta: 16:33:40, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3411, decode.loss_mask: 0.5597, decode.loss_dice: 0.8061, decode.d0.loss_cls: 1.4864, decode.d0.loss_mask: 0.6011, decode.d0.loss_dice: 0.9119, decode.d1.loss_cls: 0.4308, decode.d1.loss_mask: 0.5851, decode.d1.loss_dice: 0.8592, decode.d2.loss_cls: 0.3838, decode.d2.loss_mask: 0.5652, decode.d2.loss_dice: 0.8291, decode.d3.loss_cls: 0.3557, decode.d3.loss_mask: 0.5643, decode.d3.loss_dice: 0.8147, decode.d4.loss_cls: 0.3470, decode.d4.loss_mask: 0.5642, decode.d4.loss_dice: 0.8123, decode.d5.loss_cls: 0.3387, decode.d5.loss_mask: 0.5644, decode.d5.loss_dice: 0.8136, decode.d6.loss_cls: 0.3404, decode.d6.loss_mask: 0.5627, decode.d6.loss_dice: 0.8079, decode.d7.loss_cls: 0.3398, decode.d7.loss_mask: 0.5634, decode.d7.loss_dice: 0.8101, decode.d8.loss_cls: 0.3386, decode.d8.loss_mask: 0.5627, decode.d8.loss_dice: 0.8095, loss: 18.6695, grad_norm: 71.8540 2023-11-22 06:48:38,987 - mmseg - INFO - Iter [58550/160000] lr: 6.039e-06, eta: 16:33:10, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3354, decode.loss_mask: 0.5372, decode.loss_dice: 0.8055, decode.d0.loss_cls: 1.4941, decode.d0.loss_mask: 0.5764, decode.d0.loss_dice: 0.9133, decode.d1.loss_cls: 0.4291, decode.d1.loss_mask: 0.5648, decode.d1.loss_dice: 0.8521, decode.d2.loss_cls: 0.3802, decode.d2.loss_mask: 0.5480, decode.d2.loss_dice: 0.8267, decode.d3.loss_cls: 0.3501, decode.d3.loss_mask: 0.5394, decode.d3.loss_dice: 0.8180, decode.d4.loss_cls: 0.3463, decode.d4.loss_mask: 0.5394, decode.d4.loss_dice: 0.8129, decode.d5.loss_cls: 0.3355, decode.d5.loss_mask: 0.5401, decode.d5.loss_dice: 0.8129, decode.d6.loss_cls: 0.3366, decode.d6.loss_mask: 0.5378, decode.d6.loss_dice: 0.8052, decode.d7.loss_cls: 0.3393, decode.d7.loss_mask: 0.5387, decode.d7.loss_dice: 0.8057, decode.d8.loss_cls: 0.3373, decode.d8.loss_mask: 0.5373, decode.d8.loss_dice: 0.8055, loss: 18.4006, grad_norm: 71.6576 2023-11-22 06:49:07,298 - mmseg - INFO - Iter [58600/160000] lr: 6.036e-06, eta: 16:32:39, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3289, decode.loss_mask: 0.5688, decode.loss_dice: 0.8230, decode.d0.loss_cls: 1.4612, decode.d0.loss_mask: 0.6054, decode.d0.loss_dice: 0.9300, decode.d1.loss_cls: 0.4380, decode.d1.loss_mask: 0.5884, decode.d1.loss_dice: 0.8775, decode.d2.loss_cls: 0.3814, decode.d2.loss_mask: 0.5766, decode.d2.loss_dice: 0.8479, decode.d3.loss_cls: 0.3522, decode.d3.loss_mask: 0.5708, decode.d3.loss_dice: 0.8307, decode.d4.loss_cls: 0.3473, decode.d4.loss_mask: 0.5723, decode.d4.loss_dice: 0.8297, decode.d5.loss_cls: 0.3362, decode.d5.loss_mask: 0.5706, decode.d5.loss_dice: 0.8282, decode.d6.loss_cls: 0.3357, decode.d6.loss_mask: 0.5653, decode.d6.loss_dice: 0.8205, decode.d7.loss_cls: 0.3341, decode.d7.loss_mask: 0.5653, decode.d7.loss_dice: 0.8204, decode.d8.loss_cls: 0.3300, decode.d8.loss_mask: 0.5677, decode.d8.loss_dice: 0.8227, loss: 18.8268, grad_norm: 71.9234 2023-11-22 06:49:35,607 - mmseg - INFO - Iter [58650/160000] lr: 6.033e-06, eta: 16:32:07, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3432, decode.loss_mask: 0.5538, decode.loss_dice: 0.8154, decode.d0.loss_cls: 1.4790, decode.d0.loss_mask: 0.5917, decode.d0.loss_dice: 0.9212, decode.d1.loss_cls: 0.4461, decode.d1.loss_mask: 0.5729, decode.d1.loss_dice: 0.8629, decode.d2.loss_cls: 0.3875, decode.d2.loss_mask: 0.5644, decode.d2.loss_dice: 0.8369, decode.d3.loss_cls: 0.3601, decode.d3.loss_mask: 0.5578, decode.d3.loss_dice: 0.8247, decode.d4.loss_cls: 0.3561, decode.d4.loss_mask: 0.5576, decode.d4.loss_dice: 0.8180, decode.d5.loss_cls: 0.3494, decode.d5.loss_mask: 0.5563, decode.d5.loss_dice: 0.8205, decode.d6.loss_cls: 0.3499, decode.d6.loss_mask: 0.5544, decode.d6.loss_dice: 0.8161, decode.d7.loss_cls: 0.3452, decode.d7.loss_mask: 0.5534, decode.d7.loss_dice: 0.8155, decode.d8.loss_cls: 0.3433, decode.d8.loss_mask: 0.5546, decode.d8.loss_dice: 0.8108, loss: 18.7186, grad_norm: 80.7247 2023-11-22 06:50:04,020 - mmseg - INFO - Iter [58700/160000] lr: 6.030e-06, eta: 16:31:36, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3535, decode.loss_mask: 0.5384, decode.loss_dice: 0.8037, decode.d0.loss_cls: 1.5207, decode.d0.loss_mask: 0.5718, decode.d0.loss_dice: 0.9170, decode.d1.loss_cls: 0.4575, decode.d1.loss_mask: 0.5568, decode.d1.loss_dice: 0.8539, decode.d2.loss_cls: 0.3990, decode.d2.loss_mask: 0.5486, decode.d2.loss_dice: 0.8168, decode.d3.loss_cls: 0.3751, decode.d3.loss_mask: 0.5416, decode.d3.loss_dice: 0.8087, decode.d4.loss_cls: 0.3607, decode.d4.loss_mask: 0.5456, decode.d4.loss_dice: 0.8119, decode.d5.loss_cls: 0.3553, decode.d5.loss_mask: 0.5405, decode.d5.loss_dice: 0.8082, decode.d6.loss_cls: 0.3635, decode.d6.loss_mask: 0.5383, decode.d6.loss_dice: 0.7983, decode.d7.loss_cls: 0.3593, decode.d7.loss_mask: 0.5363, decode.d7.loss_dice: 0.8019, decode.d8.loss_cls: 0.3543, decode.d8.loss_mask: 0.5390, decode.d8.loss_dice: 0.8042, loss: 18.5803, grad_norm: 69.6612 2023-11-22 06:50:32,192 - mmseg - INFO - Iter [58750/160000] lr: 6.028e-06, eta: 16:31:05, time: 0.563, data_time: 0.012, memory: 38143, decode.loss_cls: 0.3334, decode.loss_mask: 0.5520, decode.loss_dice: 0.8210, decode.d0.loss_cls: 1.4680, decode.d0.loss_mask: 0.5928, decode.d0.loss_dice: 0.9311, decode.d1.loss_cls: 0.4260, decode.d1.loss_mask: 0.5764, decode.d1.loss_dice: 0.8788, decode.d2.loss_cls: 0.3707, decode.d2.loss_mask: 0.5618, decode.d2.loss_dice: 0.8529, decode.d3.loss_cls: 0.3455, decode.d3.loss_mask: 0.5583, decode.d3.loss_dice: 0.8291, decode.d4.loss_cls: 0.3341, decode.d4.loss_mask: 0.5544, decode.d4.loss_dice: 0.8313, decode.d5.loss_cls: 0.3336, decode.d5.loss_mask: 0.5522, decode.d5.loss_dice: 0.8270, decode.d6.loss_cls: 0.3334, decode.d6.loss_mask: 0.5510, decode.d6.loss_dice: 0.8208, decode.d7.loss_cls: 0.3300, decode.d7.loss_mask: 0.5536, decode.d7.loss_dice: 0.8244, decode.d8.loss_cls: 0.3306, decode.d8.loss_mask: 0.5508, decode.d8.loss_dice: 0.8233, loss: 18.6481, grad_norm: 69.6188 2023-11-22 06:51:00,568 - mmseg - INFO - Iter [58800/160000] lr: 6.025e-06, eta: 16:30:34, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3591, decode.loss_mask: 0.5506, decode.loss_dice: 0.8098, decode.d0.loss_cls: 1.5218, decode.d0.loss_mask: 0.5928, decode.d0.loss_dice: 0.9303, decode.d1.loss_cls: 0.4626, decode.d1.loss_mask: 0.5813, decode.d1.loss_dice: 0.8690, decode.d2.loss_cls: 0.3965, decode.d2.loss_mask: 0.5632, decode.d2.loss_dice: 0.8337, decode.d3.loss_cls: 0.3742, decode.d3.loss_mask: 0.5591, decode.d3.loss_dice: 0.8237, decode.d4.loss_cls: 0.3700, decode.d4.loss_mask: 0.5584, decode.d4.loss_dice: 0.8206, decode.d5.loss_cls: 0.3637, decode.d5.loss_mask: 0.5566, decode.d5.loss_dice: 0.8167, decode.d6.loss_cls: 0.3599, decode.d6.loss_mask: 0.5552, decode.d6.loss_dice: 0.8105, decode.d7.loss_cls: 0.3548, decode.d7.loss_mask: 0.5543, decode.d7.loss_dice: 0.8104, decode.d8.loss_cls: 0.3508, decode.d8.loss_mask: 0.5535, decode.d8.loss_dice: 0.8115, loss: 18.8747, grad_norm: 77.9153 2023-11-22 06:51:29,037 - mmseg - INFO - Iter [58850/160000] lr: 6.022e-06, eta: 16:30:03, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3525, decode.loss_mask: 0.5547, decode.loss_dice: 0.8070, decode.d0.loss_cls: 1.4690, decode.d0.loss_mask: 0.5914, decode.d0.loss_dice: 0.9336, decode.d1.loss_cls: 0.4424, decode.d1.loss_mask: 0.5827, decode.d1.loss_dice: 0.8729, decode.d2.loss_cls: 0.3912, decode.d2.loss_mask: 0.5660, decode.d2.loss_dice: 0.8345, decode.d3.loss_cls: 0.3695, decode.d3.loss_mask: 0.5557, decode.d3.loss_dice: 0.8220, decode.d4.loss_cls: 0.3610, decode.d4.loss_mask: 0.5565, decode.d4.loss_dice: 0.8226, decode.d5.loss_cls: 0.3533, decode.d5.loss_mask: 0.5557, decode.d5.loss_dice: 0.8187, decode.d6.loss_cls: 0.3562, decode.d6.loss_mask: 0.5561, decode.d6.loss_dice: 0.8116, decode.d7.loss_cls: 0.3500, decode.d7.loss_mask: 0.5532, decode.d7.loss_dice: 0.8086, decode.d8.loss_cls: 0.3516, decode.d8.loss_mask: 0.5538, decode.d8.loss_dice: 0.8138, loss: 18.7678, grad_norm: 75.0610 2023-11-22 06:51:57,458 - mmseg - INFO - Iter [58900/160000] lr: 6.019e-06, eta: 16:29:32, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3226, decode.loss_mask: 0.5492, decode.loss_dice: 0.7872, decode.d0.loss_cls: 1.4942, decode.d0.loss_mask: 0.5871, decode.d0.loss_dice: 0.8974, decode.d1.loss_cls: 0.4090, decode.d1.loss_mask: 0.5743, decode.d1.loss_dice: 0.8387, decode.d2.loss_cls: 0.3596, decode.d2.loss_mask: 0.5543, decode.d2.loss_dice: 0.8063, decode.d3.loss_cls: 0.3384, decode.d3.loss_mask: 0.5542, decode.d3.loss_dice: 0.7949, decode.d4.loss_cls: 0.3347, decode.d4.loss_mask: 0.5526, decode.d4.loss_dice: 0.7912, decode.d5.loss_cls: 0.3304, decode.d5.loss_mask: 0.5490, decode.d5.loss_dice: 0.7859, decode.d6.loss_cls: 0.3284, decode.d6.loss_mask: 0.5526, decode.d6.loss_dice: 0.7851, decode.d7.loss_cls: 0.3249, decode.d7.loss_mask: 0.5513, decode.d7.loss_dice: 0.7815, decode.d8.loss_cls: 0.3119, decode.d8.loss_mask: 0.5511, decode.d8.loss_dice: 0.7877, loss: 18.1855, grad_norm: 78.3293 2023-11-22 06:52:25,710 - mmseg - INFO - Iter [58950/160000] lr: 6.016e-06, eta: 16:29:01, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3377, decode.loss_mask: 0.5552, decode.loss_dice: 0.8086, decode.d0.loss_cls: 1.4539, decode.d0.loss_mask: 0.5882, decode.d0.loss_dice: 0.9129, decode.d1.loss_cls: 0.4306, decode.d1.loss_mask: 0.5764, decode.d1.loss_dice: 0.8569, decode.d2.loss_cls: 0.3768, decode.d2.loss_mask: 0.5659, decode.d2.loss_dice: 0.8326, decode.d3.loss_cls: 0.3541, decode.d3.loss_mask: 0.5593, decode.d3.loss_dice: 0.8121, decode.d4.loss_cls: 0.3490, decode.d4.loss_mask: 0.5591, decode.d4.loss_dice: 0.8089, decode.d5.loss_cls: 0.3438, decode.d5.loss_mask: 0.5532, decode.d5.loss_dice: 0.8104, decode.d6.loss_cls: 0.3419, decode.d6.loss_mask: 0.5519, decode.d6.loss_dice: 0.8090, decode.d7.loss_cls: 0.3389, decode.d7.loss_mask: 0.5559, decode.d7.loss_dice: 0.8069, decode.d8.loss_cls: 0.3416, decode.d8.loss_mask: 0.5555, decode.d8.loss_dice: 0.8074, loss: 18.5544, grad_norm: 73.8406 2023-11-22 06:52:54,034 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 06:52:54,035 - mmseg - INFO - Iter [59000/160000] lr: 6.013e-06, eta: 16:28:30, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3501, decode.loss_mask: 0.5629, decode.loss_dice: 0.8085, decode.d0.loss_cls: 1.4711, decode.d0.loss_mask: 0.5979, decode.d0.loss_dice: 0.9302, decode.d1.loss_cls: 0.4338, decode.d1.loss_mask: 0.5871, decode.d1.loss_dice: 0.8628, decode.d2.loss_cls: 0.3861, decode.d2.loss_mask: 0.5710, decode.d2.loss_dice: 0.8396, decode.d3.loss_cls: 0.3668, decode.d3.loss_mask: 0.5646, decode.d3.loss_dice: 0.8225, decode.d4.loss_cls: 0.3572, decode.d4.loss_mask: 0.5663, decode.d4.loss_dice: 0.8203, decode.d5.loss_cls: 0.3505, decode.d5.loss_mask: 0.5648, decode.d5.loss_dice: 0.8198, decode.d6.loss_cls: 0.3501, decode.d6.loss_mask: 0.5628, decode.d6.loss_dice: 0.8085, decode.d7.loss_cls: 0.3485, decode.d7.loss_mask: 0.5638, decode.d7.loss_dice: 0.8135, decode.d8.loss_cls: 0.3494, decode.d8.loss_mask: 0.5606, decode.d8.loss_dice: 0.8097, loss: 18.8007, grad_norm: 70.3385 2023-11-22 06:53:22,422 - mmseg - INFO - Iter [59050/160000] lr: 6.010e-06, eta: 16:27:59, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3517, decode.loss_mask: 0.5740, decode.loss_dice: 0.8255, decode.d0.loss_cls: 1.4935, decode.d0.loss_mask: 0.6018, decode.d0.loss_dice: 0.9279, decode.d1.loss_cls: 0.4475, decode.d1.loss_mask: 0.5908, decode.d1.loss_dice: 0.8699, decode.d2.loss_cls: 0.3946, decode.d2.loss_mask: 0.5783, decode.d2.loss_dice: 0.8471, decode.d3.loss_cls: 0.3837, decode.d3.loss_mask: 0.5711, decode.d3.loss_dice: 0.8263, decode.d4.loss_cls: 0.3692, decode.d4.loss_mask: 0.5738, decode.d4.loss_dice: 0.8257, decode.d5.loss_cls: 0.3648, decode.d5.loss_mask: 0.5706, decode.d5.loss_dice: 0.8270, decode.d6.loss_cls: 0.3619, decode.d6.loss_mask: 0.5723, decode.d6.loss_dice: 0.8237, decode.d7.loss_cls: 0.3530, decode.d7.loss_mask: 0.5720, decode.d7.loss_dice: 0.8258, decode.d8.loss_cls: 0.3520, decode.d8.loss_mask: 0.5739, decode.d8.loss_dice: 0.8275, loss: 19.0767, grad_norm: 75.4445 2023-11-22 06:53:50,746 - mmseg - INFO - Iter [59100/160000] lr: 6.007e-06, eta: 16:27:27, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3450, decode.loss_mask: 0.5548, decode.loss_dice: 0.8298, decode.d0.loss_cls: 1.4829, decode.d0.loss_mask: 0.5908, decode.d0.loss_dice: 0.9384, decode.d1.loss_cls: 0.4419, decode.d1.loss_mask: 0.5756, decode.d1.loss_dice: 0.8724, decode.d2.loss_cls: 0.3799, decode.d2.loss_mask: 0.5635, decode.d2.loss_dice: 0.8512, decode.d3.loss_cls: 0.3651, decode.d3.loss_mask: 0.5565, decode.d3.loss_dice: 0.8346, decode.d4.loss_cls: 0.3532, decode.d4.loss_mask: 0.5545, decode.d4.loss_dice: 0.8357, decode.d5.loss_cls: 0.3524, decode.d5.loss_mask: 0.5529, decode.d5.loss_dice: 0.8340, decode.d6.loss_cls: 0.3509, decode.d6.loss_mask: 0.5574, decode.d6.loss_dice: 0.8259, decode.d7.loss_cls: 0.3506, decode.d7.loss_mask: 0.5556, decode.d7.loss_dice: 0.8260, decode.d8.loss_cls: 0.3536, decode.d8.loss_mask: 0.5536, decode.d8.loss_dice: 0.8224, loss: 18.8611, grad_norm: 74.3118 2023-11-22 06:54:19,204 - mmseg - INFO - Iter [59150/160000] lr: 6.004e-06, eta: 16:26:56, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3499, decode.loss_mask: 0.5306, decode.loss_dice: 0.8223, decode.d0.loss_cls: 1.5067, decode.d0.loss_mask: 0.5674, decode.d0.loss_dice: 0.9404, decode.d1.loss_cls: 0.4573, decode.d1.loss_mask: 0.5514, decode.d1.loss_dice: 0.8813, decode.d2.loss_cls: 0.3958, decode.d2.loss_mask: 0.5428, decode.d2.loss_dice: 0.8477, decode.d3.loss_cls: 0.3732, decode.d3.loss_mask: 0.5368, decode.d3.loss_dice: 0.8322, decode.d4.loss_cls: 0.3641, decode.d4.loss_mask: 0.5368, decode.d4.loss_dice: 0.8293, decode.d5.loss_cls: 0.3549, decode.d5.loss_mask: 0.5363, decode.d5.loss_dice: 0.8303, decode.d6.loss_cls: 0.3579, decode.d6.loss_mask: 0.5322, decode.d6.loss_dice: 0.8227, decode.d7.loss_cls: 0.3550, decode.d7.loss_mask: 0.5312, decode.d7.loss_dice: 0.8224, decode.d8.loss_cls: 0.3533, decode.d8.loss_mask: 0.5319, decode.d8.loss_dice: 0.8257, loss: 18.7199, grad_norm: 72.8070 2023-11-22 06:54:47,674 - mmseg - INFO - Iter [59200/160000] lr: 6.001e-06, eta: 16:26:26, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3666, decode.loss_mask: 0.5670, decode.loss_dice: 0.8418, decode.d0.loss_cls: 1.5131, decode.d0.loss_mask: 0.6111, decode.d0.loss_dice: 0.9515, decode.d1.loss_cls: 0.4600, decode.d1.loss_mask: 0.5952, decode.d1.loss_dice: 0.8982, decode.d2.loss_cls: 0.4070, decode.d2.loss_mask: 0.5813, decode.d2.loss_dice: 0.8768, decode.d3.loss_cls: 0.3863, decode.d3.loss_mask: 0.5745, decode.d3.loss_dice: 0.8500, decode.d4.loss_cls: 0.3753, decode.d4.loss_mask: 0.5743, decode.d4.loss_dice: 0.8543, decode.d5.loss_cls: 0.3737, decode.d5.loss_mask: 0.5707, decode.d5.loss_dice: 0.8500, decode.d6.loss_cls: 0.3698, decode.d6.loss_mask: 0.5673, decode.d6.loss_dice: 0.8330, decode.d7.loss_cls: 0.3659, decode.d7.loss_mask: 0.5678, decode.d7.loss_dice: 0.8404, decode.d8.loss_cls: 0.3692, decode.d8.loss_mask: 0.5678, decode.d8.loss_dice: 0.8385, loss: 19.3984, grad_norm: 73.7094 2023-11-22 06:55:15,971 - mmseg - INFO - Iter [59250/160000] lr: 5.998e-06, eta: 16:25:54, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3463, decode.loss_mask: 0.5589, decode.loss_dice: 0.8224, decode.d0.loss_cls: 1.4787, decode.d0.loss_mask: 0.5936, decode.d0.loss_dice: 0.9362, decode.d1.loss_cls: 0.4401, decode.d1.loss_mask: 0.5790, decode.d1.loss_dice: 0.8779, decode.d2.loss_cls: 0.3910, decode.d2.loss_mask: 0.5663, decode.d2.loss_dice: 0.8521, decode.d3.loss_cls: 0.3667, decode.d3.loss_mask: 0.5623, decode.d3.loss_dice: 0.8249, decode.d4.loss_cls: 0.3569, decode.d4.loss_mask: 0.5621, decode.d4.loss_dice: 0.8279, decode.d5.loss_cls: 0.3473, decode.d5.loss_mask: 0.5609, decode.d5.loss_dice: 0.8288, decode.d6.loss_cls: 0.3494, decode.d6.loss_mask: 0.5596, decode.d6.loss_dice: 0.8222, decode.d7.loss_cls: 0.3440, decode.d7.loss_mask: 0.5589, decode.d7.loss_dice: 0.8239, decode.d8.loss_cls: 0.3394, decode.d8.loss_mask: 0.5614, decode.d8.loss_dice: 0.8258, loss: 18.8648, grad_norm: 76.8488 2023-11-22 06:55:44,235 - mmseg - INFO - Iter [59300/160000] lr: 5.995e-06, eta: 16:25:23, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3521, decode.loss_mask: 0.5580, decode.loss_dice: 0.8230, decode.d0.loss_cls: 1.5098, decode.d0.loss_mask: 0.5875, decode.d0.loss_dice: 0.9277, decode.d1.loss_cls: 0.4596, decode.d1.loss_mask: 0.5712, decode.d1.loss_dice: 0.8721, decode.d2.loss_cls: 0.3984, decode.d2.loss_mask: 0.5620, decode.d2.loss_dice: 0.8446, decode.d3.loss_cls: 0.3749, decode.d3.loss_mask: 0.5606, decode.d3.loss_dice: 0.8314, decode.d4.loss_cls: 0.3657, decode.d4.loss_mask: 0.5605, decode.d4.loss_dice: 0.8309, decode.d5.loss_cls: 0.3564, decode.d5.loss_mask: 0.5573, decode.d5.loss_dice: 0.8254, decode.d6.loss_cls: 0.3580, decode.d6.loss_mask: 0.5558, decode.d6.loss_dice: 0.8157, decode.d7.loss_cls: 0.3496, decode.d7.loss_mask: 0.5574, decode.d7.loss_dice: 0.8243, decode.d8.loss_cls: 0.3511, decode.d8.loss_mask: 0.5571, decode.d8.loss_dice: 0.8253, loss: 18.9234, grad_norm: 72.1463 2023-11-22 06:56:12,553 - mmseg - INFO - Iter [59350/160000] lr: 5.992e-06, eta: 16:24:52, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3607, decode.loss_mask: 0.5613, decode.loss_dice: 0.8156, decode.d0.loss_cls: 1.5110, decode.d0.loss_mask: 0.5986, decode.d0.loss_dice: 0.9363, decode.d1.loss_cls: 0.4499, decode.d1.loss_mask: 0.5860, decode.d1.loss_dice: 0.8709, decode.d2.loss_cls: 0.3858, decode.d2.loss_mask: 0.5751, decode.d2.loss_dice: 0.8437, decode.d3.loss_cls: 0.3634, decode.d3.loss_mask: 0.5668, decode.d3.loss_dice: 0.8298, decode.d4.loss_cls: 0.3595, decode.d4.loss_mask: 0.5646, decode.d4.loss_dice: 0.8260, decode.d5.loss_cls: 0.3574, decode.d5.loss_mask: 0.5659, decode.d5.loss_dice: 0.8249, decode.d6.loss_cls: 0.3573, decode.d6.loss_mask: 0.5650, decode.d6.loss_dice: 0.8205, decode.d7.loss_cls: 0.3512, decode.d7.loss_mask: 0.5676, decode.d7.loss_dice: 0.8233, decode.d8.loss_cls: 0.3542, decode.d8.loss_mask: 0.5622, decode.d8.loss_dice: 0.8175, loss: 18.9723, grad_norm: 74.7213 2023-11-22 06:56:43,361 - mmseg - INFO - Iter [59400/160000] lr: 5.989e-06, eta: 16:24:25, time: 0.616, data_time: 0.058, memory: 38143, decode.loss_cls: 0.3340, decode.loss_mask: 0.5263, decode.loss_dice: 0.7891, decode.d0.loss_cls: 1.4786, decode.d0.loss_mask: 0.5580, decode.d0.loss_dice: 0.9014, decode.d1.loss_cls: 0.4304, decode.d1.loss_mask: 0.5450, decode.d1.loss_dice: 0.8438, decode.d2.loss_cls: 0.3776, decode.d2.loss_mask: 0.5348, decode.d2.loss_dice: 0.8108, decode.d3.loss_cls: 0.3543, decode.d3.loss_mask: 0.5305, decode.d3.loss_dice: 0.7942, decode.d4.loss_cls: 0.3488, decode.d4.loss_mask: 0.5274, decode.d4.loss_dice: 0.7942, decode.d5.loss_cls: 0.3432, decode.d5.loss_mask: 0.5285, decode.d5.loss_dice: 0.7932, decode.d6.loss_cls: 0.3387, decode.d6.loss_mask: 0.5274, decode.d6.loss_dice: 0.7893, decode.d7.loss_cls: 0.3364, decode.d7.loss_mask: 0.5263, decode.d7.loss_dice: 0.7892, decode.d8.loss_cls: 0.3325, decode.d8.loss_mask: 0.5267, decode.d8.loss_dice: 0.7910, loss: 18.1017, grad_norm: 68.1822 2023-11-22 06:57:12,056 - mmseg - INFO - Iter [59450/160000] lr: 5.986e-06, eta: 16:23:55, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3401, decode.loss_mask: 0.5627, decode.loss_dice: 0.7913, decode.d0.loss_cls: 1.4938, decode.d0.loss_mask: 0.6021, decode.d0.loss_dice: 0.8962, decode.d1.loss_cls: 0.4324, decode.d1.loss_mask: 0.5862, decode.d1.loss_dice: 0.8465, decode.d2.loss_cls: 0.3822, decode.d2.loss_mask: 0.5757, decode.d2.loss_dice: 0.8198, decode.d3.loss_cls: 0.3666, decode.d3.loss_mask: 0.5652, decode.d3.loss_dice: 0.8037, decode.d4.loss_cls: 0.3526, decode.d4.loss_mask: 0.5637, decode.d4.loss_dice: 0.7970, decode.d5.loss_cls: 0.3425, decode.d5.loss_mask: 0.5640, decode.d5.loss_dice: 0.7972, decode.d6.loss_cls: 0.3420, decode.d6.loss_mask: 0.5662, decode.d6.loss_dice: 0.7911, decode.d7.loss_cls: 0.3362, decode.d7.loss_mask: 0.5629, decode.d7.loss_dice: 0.7954, decode.d8.loss_cls: 0.3389, decode.d8.loss_mask: 0.5636, decode.d8.loss_dice: 0.7956, loss: 18.5734, grad_norm: 72.5858 2023-11-22 06:57:40,613 - mmseg - INFO - Iter [59500/160000] lr: 5.983e-06, eta: 16:23:24, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3561, decode.loss_mask: 0.5323, decode.loss_dice: 0.8065, decode.d0.loss_cls: 1.5270, decode.d0.loss_mask: 0.5759, decode.d0.loss_dice: 0.9247, decode.d1.loss_cls: 0.4505, decode.d1.loss_mask: 0.5645, decode.d1.loss_dice: 0.8619, decode.d2.loss_cls: 0.3889, decode.d2.loss_mask: 0.5489, decode.d2.loss_dice: 0.8317, decode.d3.loss_cls: 0.3704, decode.d3.loss_mask: 0.5444, decode.d3.loss_dice: 0.8171, decode.d4.loss_cls: 0.3674, decode.d4.loss_mask: 0.5404, decode.d4.loss_dice: 0.8159, decode.d5.loss_cls: 0.3584, decode.d5.loss_mask: 0.5405, decode.d5.loss_dice: 0.8149, decode.d6.loss_cls: 0.3528, decode.d6.loss_mask: 0.5335, decode.d6.loss_dice: 0.8048, decode.d7.loss_cls: 0.3555, decode.d7.loss_mask: 0.5328, decode.d7.loss_dice: 0.8065, decode.d8.loss_cls: 0.3560, decode.d8.loss_mask: 0.5332, decode.d8.loss_dice: 0.8055, loss: 18.6190, grad_norm: 67.7137 2023-11-22 06:58:08,907 - mmseg - INFO - Iter [59550/160000] lr: 5.980e-06, eta: 16:22:53, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3400, decode.loss_mask: 0.5411, decode.loss_dice: 0.7777, decode.d0.loss_cls: 1.4808, decode.d0.loss_mask: 0.5842, decode.d0.loss_dice: 0.9025, decode.d1.loss_cls: 0.4372, decode.d1.loss_mask: 0.5657, decode.d1.loss_dice: 0.8343, decode.d2.loss_cls: 0.3777, decode.d2.loss_mask: 0.5517, decode.d2.loss_dice: 0.8024, decode.d3.loss_cls: 0.3622, decode.d3.loss_mask: 0.5436, decode.d3.loss_dice: 0.7845, decode.d4.loss_cls: 0.3502, decode.d4.loss_mask: 0.5457, decode.d4.loss_dice: 0.7901, decode.d5.loss_cls: 0.3475, decode.d5.loss_mask: 0.5438, decode.d5.loss_dice: 0.7883, decode.d6.loss_cls: 0.3406, decode.d6.loss_mask: 0.5395, decode.d6.loss_dice: 0.7778, decode.d7.loss_cls: 0.3428, decode.d7.loss_mask: 0.5416, decode.d7.loss_dice: 0.7753, decode.d8.loss_cls: 0.3419, decode.d8.loss_mask: 0.5427, decode.d8.loss_dice: 0.7774, loss: 18.2308, grad_norm: 74.2194 2023-11-22 06:58:37,195 - mmseg - INFO - Iter [59600/160000] lr: 5.977e-06, eta: 16:22:22, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3536, decode.loss_mask: 0.5573, decode.loss_dice: 0.8156, decode.d0.loss_cls: 1.5020, decode.d0.loss_mask: 0.5885, decode.d0.loss_dice: 0.9185, decode.d1.loss_cls: 0.4455, decode.d1.loss_mask: 0.5715, decode.d1.loss_dice: 0.8548, decode.d2.loss_cls: 0.3912, decode.d2.loss_mask: 0.5658, decode.d2.loss_dice: 0.8338, decode.d3.loss_cls: 0.3673, decode.d3.loss_mask: 0.5623, decode.d3.loss_dice: 0.8241, decode.d4.loss_cls: 0.3642, decode.d4.loss_mask: 0.5618, decode.d4.loss_dice: 0.8190, decode.d5.loss_cls: 0.3624, decode.d5.loss_mask: 0.5612, decode.d5.loss_dice: 0.8185, decode.d6.loss_cls: 0.3593, decode.d6.loss_mask: 0.5621, decode.d6.loss_dice: 0.8161, decode.d7.loss_cls: 0.3526, decode.d7.loss_mask: 0.5624, decode.d7.loss_dice: 0.8154, decode.d8.loss_cls: 0.3535, decode.d8.loss_mask: 0.5597, decode.d8.loss_dice: 0.8162, loss: 18.8361, grad_norm: 65.6442 2023-11-22 06:59:05,519 - mmseg - INFO - Iter [59650/160000] lr: 5.974e-06, eta: 16:21:51, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3430, decode.loss_mask: 0.5612, decode.loss_dice: 0.8240, decode.d0.loss_cls: 1.4801, decode.d0.loss_mask: 0.5993, decode.d0.loss_dice: 0.9395, decode.d1.loss_cls: 0.4443, decode.d1.loss_mask: 0.5804, decode.d1.loss_dice: 0.8693, decode.d2.loss_cls: 0.3885, decode.d2.loss_mask: 0.5675, decode.d2.loss_dice: 0.8426, decode.d3.loss_cls: 0.3536, decode.d3.loss_mask: 0.5634, decode.d3.loss_dice: 0.8329, decode.d4.loss_cls: 0.3496, decode.d4.loss_mask: 0.5627, decode.d4.loss_dice: 0.8299, decode.d5.loss_cls: 0.3407, decode.d5.loss_mask: 0.5675, decode.d5.loss_dice: 0.8270, decode.d6.loss_cls: 0.3388, decode.d6.loss_mask: 0.5614, decode.d6.loss_dice: 0.8281, decode.d7.loss_cls: 0.3353, decode.d7.loss_mask: 0.5627, decode.d7.loss_dice: 0.8237, decode.d8.loss_cls: 0.3375, decode.d8.loss_mask: 0.5639, decode.d8.loss_dice: 0.8233, loss: 18.8416, grad_norm: 79.2532 2023-11-22 06:59:33,840 - mmseg - INFO - Iter [59700/160000] lr: 5.971e-06, eta: 16:21:20, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3411, decode.loss_mask: 0.5414, decode.loss_dice: 0.8136, decode.d0.loss_cls: 1.4825, decode.d0.loss_mask: 0.5779, decode.d0.loss_dice: 0.9214, decode.d1.loss_cls: 0.4303, decode.d1.loss_mask: 0.5674, decode.d1.loss_dice: 0.8653, decode.d2.loss_cls: 0.3803, decode.d2.loss_mask: 0.5529, decode.d2.loss_dice: 0.8439, decode.d3.loss_cls: 0.3618, decode.d3.loss_mask: 0.5466, decode.d3.loss_dice: 0.8205, decode.d4.loss_cls: 0.3478, decode.d4.loss_mask: 0.5438, decode.d4.loss_dice: 0.8274, decode.d5.loss_cls: 0.3455, decode.d5.loss_mask: 0.5424, decode.d5.loss_dice: 0.8209, decode.d6.loss_cls: 0.3451, decode.d6.loss_mask: 0.5440, decode.d6.loss_dice: 0.8151, decode.d7.loss_cls: 0.3414, decode.d7.loss_mask: 0.5423, decode.d7.loss_dice: 0.8110, decode.d8.loss_cls: 0.3420, decode.d8.loss_mask: 0.5409, decode.d8.loss_dice: 0.8148, loss: 18.5714, grad_norm: 67.1071 2023-11-22 07:00:02,522 - mmseg - INFO - Iter [59750/160000] lr: 5.968e-06, eta: 16:20:49, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3332, decode.loss_mask: 0.5367, decode.loss_dice: 0.7959, decode.d0.loss_cls: 1.4698, decode.d0.loss_mask: 0.5714, decode.d0.loss_dice: 0.9082, decode.d1.loss_cls: 0.4098, decode.d1.loss_mask: 0.5567, decode.d1.loss_dice: 0.8520, decode.d2.loss_cls: 0.3686, decode.d2.loss_mask: 0.5454, decode.d2.loss_dice: 0.8196, decode.d3.loss_cls: 0.3480, decode.d3.loss_mask: 0.5426, decode.d3.loss_dice: 0.8036, decode.d4.loss_cls: 0.3392, decode.d4.loss_mask: 0.5414, decode.d4.loss_dice: 0.8083, decode.d5.loss_cls: 0.3319, decode.d5.loss_mask: 0.5401, decode.d5.loss_dice: 0.8032, decode.d6.loss_cls: 0.3334, decode.d6.loss_mask: 0.5378, decode.d6.loss_dice: 0.7988, decode.d7.loss_cls: 0.3281, decode.d7.loss_mask: 0.5375, decode.d7.loss_dice: 0.7976, decode.d8.loss_cls: 0.3314, decode.d8.loss_mask: 0.5371, decode.d8.loss_dice: 0.7974, loss: 18.2247, grad_norm: 67.8022 2023-11-22 07:00:31,004 - mmseg - INFO - Iter [59800/160000] lr: 5.965e-06, eta: 16:20:18, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3442, decode.loss_mask: 0.5422, decode.loss_dice: 0.7962, decode.d0.loss_cls: 1.4667, decode.d0.loss_mask: 0.5849, decode.d0.loss_dice: 0.9139, decode.d1.loss_cls: 0.4404, decode.d1.loss_mask: 0.5670, decode.d1.loss_dice: 0.8577, decode.d2.loss_cls: 0.3797, decode.d2.loss_mask: 0.5606, decode.d2.loss_dice: 0.8245, decode.d3.loss_cls: 0.3638, decode.d3.loss_mask: 0.5504, decode.d3.loss_dice: 0.8063, decode.d4.loss_cls: 0.3555, decode.d4.loss_mask: 0.5501, decode.d4.loss_dice: 0.8077, decode.d5.loss_cls: 0.3524, decode.d5.loss_mask: 0.5471, decode.d5.loss_dice: 0.8038, decode.d6.loss_cls: 0.3456, decode.d6.loss_mask: 0.5466, decode.d6.loss_dice: 0.7970, decode.d7.loss_cls: 0.3494, decode.d7.loss_mask: 0.5476, decode.d7.loss_dice: 0.7941, decode.d8.loss_cls: 0.3471, decode.d8.loss_mask: 0.5456, decode.d8.loss_dice: 0.7935, loss: 18.4815, grad_norm: 68.3935 2023-11-22 07:00:59,425 - mmseg - INFO - Iter [59850/160000] lr: 5.962e-06, eta: 16:19:47, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3455, decode.loss_mask: 0.5509, decode.loss_dice: 0.8240, decode.d0.loss_cls: 1.4803, decode.d0.loss_mask: 0.5845, decode.d0.loss_dice: 0.9474, decode.d1.loss_cls: 0.4313, decode.d1.loss_mask: 0.5669, decode.d1.loss_dice: 0.8748, decode.d2.loss_cls: 0.3771, decode.d2.loss_mask: 0.5619, decode.d2.loss_dice: 0.8575, decode.d3.loss_cls: 0.3603, decode.d3.loss_mask: 0.5559, decode.d3.loss_dice: 0.8319, decode.d4.loss_cls: 0.3579, decode.d4.loss_mask: 0.5518, decode.d4.loss_dice: 0.8327, decode.d5.loss_cls: 0.3573, decode.d5.loss_mask: 0.5497, decode.d5.loss_dice: 0.8301, decode.d6.loss_cls: 0.3482, decode.d6.loss_mask: 0.5499, decode.d6.loss_dice: 0.8277, decode.d7.loss_cls: 0.3479, decode.d7.loss_mask: 0.5506, decode.d7.loss_dice: 0.8318, decode.d8.loss_cls: 0.3418, decode.d8.loss_mask: 0.5513, decode.d8.loss_dice: 0.8273, loss: 18.8061, grad_norm: 74.8924 2023-11-22 07:01:27,902 - mmseg - INFO - Iter [59900/160000] lr: 5.959e-06, eta: 16:19:17, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3651, decode.loss_mask: 0.5438, decode.loss_dice: 0.8332, decode.d0.loss_cls: 1.5192, decode.d0.loss_mask: 0.5801, decode.d0.loss_dice: 0.9561, decode.d1.loss_cls: 0.4537, decode.d1.loss_mask: 0.5681, decode.d1.loss_dice: 0.8924, decode.d2.loss_cls: 0.4017, decode.d2.loss_mask: 0.5541, decode.d2.loss_dice: 0.8571, decode.d3.loss_cls: 0.3744, decode.d3.loss_mask: 0.5482, decode.d3.loss_dice: 0.8450, decode.d4.loss_cls: 0.3728, decode.d4.loss_mask: 0.5444, decode.d4.loss_dice: 0.8407, decode.d5.loss_cls: 0.3683, decode.d5.loss_mask: 0.5451, decode.d5.loss_dice: 0.8367, decode.d6.loss_cls: 0.3660, decode.d6.loss_mask: 0.5424, decode.d6.loss_dice: 0.8278, decode.d7.loss_cls: 0.3593, decode.d7.loss_mask: 0.5426, decode.d7.loss_dice: 0.8342, decode.d8.loss_cls: 0.3592, decode.d8.loss_mask: 0.5434, decode.d8.loss_dice: 0.8340, loss: 19.0094, grad_norm: 83.5951 2023-11-22 07:01:56,339 - mmseg - INFO - Iter [59950/160000] lr: 5.956e-06, eta: 16:18:46, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3283, decode.loss_mask: 0.5517, decode.loss_dice: 0.8042, decode.d0.loss_cls: 1.4323, decode.d0.loss_mask: 0.5860, decode.d0.loss_dice: 0.9129, decode.d1.loss_cls: 0.4112, decode.d1.loss_mask: 0.5723, decode.d1.loss_dice: 0.8572, decode.d2.loss_cls: 0.3581, decode.d2.loss_mask: 0.5607, decode.d2.loss_dice: 0.8296, decode.d3.loss_cls: 0.3441, decode.d3.loss_mask: 0.5530, decode.d3.loss_dice: 0.8151, decode.d4.loss_cls: 0.3358, decode.d4.loss_mask: 0.5537, decode.d4.loss_dice: 0.8168, decode.d5.loss_cls: 0.3283, decode.d5.loss_mask: 0.5554, decode.d5.loss_dice: 0.8159, decode.d6.loss_cls: 0.3297, decode.d6.loss_mask: 0.5535, decode.d6.loss_dice: 0.8102, decode.d7.loss_cls: 0.3241, decode.d7.loss_mask: 0.5528, decode.d7.loss_dice: 0.8079, decode.d8.loss_cls: 0.3234, decode.d8.loss_mask: 0.5534, decode.d8.loss_dice: 0.8090, loss: 18.3866, grad_norm: 70.5657 2023-11-22 07:02:24,969 - mmseg - INFO - Saving checkpoint at 60000 iterations 2023-11-22 07:02:34,373 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 07:02:34,374 - mmseg - INFO - Iter [60000/160000] lr: 5.953e-06, eta: 16:18:31, time: 0.761, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3494, decode.loss_mask: 0.5278, decode.loss_dice: 0.8043, decode.d0.loss_cls: 1.4834, decode.d0.loss_mask: 0.5607, decode.d0.loss_dice: 0.9115, decode.d1.loss_cls: 0.4445, decode.d1.loss_mask: 0.5534, decode.d1.loss_dice: 0.8546, decode.d2.loss_cls: 0.3863, decode.d2.loss_mask: 0.5410, decode.d2.loss_dice: 0.8352, decode.d3.loss_cls: 0.3648, decode.d3.loss_mask: 0.5365, decode.d3.loss_dice: 0.8131, decode.d4.loss_cls: 0.3556, decode.d4.loss_mask: 0.5313, decode.d4.loss_dice: 0.8137, decode.d5.loss_cls: 0.3503, decode.d5.loss_mask: 0.5325, decode.d5.loss_dice: 0.8162, decode.d6.loss_cls: 0.3504, decode.d6.loss_mask: 0.5312, decode.d6.loss_dice: 0.8028, decode.d7.loss_cls: 0.3491, decode.d7.loss_mask: 0.5294, decode.d7.loss_dice: 0.8065, decode.d8.loss_cls: 0.3469, decode.d8.loss_mask: 0.5297, decode.d8.loss_dice: 0.8059, loss: 18.4179, grad_norm: 70.7112 2023-11-22 07:02:53,860 - mmseg - INFO - per class results: 2023-11-22 07:02:53,865 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.06 | 87.76 | | building | 84.34 | 91.74 | | sky | 95.06 | 97.6 | | floor | 85.0 | 90.51 | | tree | 75.82 | 87.07 | | ceiling | 85.49 | 92.75 | | road | 86.35 | 91.2 | | bed | 91.65 | 96.54 | | windowpane | 64.01 | 81.27 | | grass | 68.87 | 80.31 | | cabinet | 64.34 | 78.82 | | sidewalk | 69.68 | 84.68 | | person | 86.44 | 93.31 | | earth | 37.72 | 54.28 | | door | 55.9 | 72.64 | | table | 68.27 | 82.6 | | mountain | 60.22 | 85.64 | | plant | 52.68 | 65.94 | | curtain | 80.37 | 89.31 | | chair | 65.99 | 75.29 | | car | 87.36 | 93.58 | | water | 52.23 | 68.47 | | painting | 75.45 | 90.11 | | sofa | 75.88 | 89.71 | | shelf | 44.35 | 54.42 | | house | 47.73 | 71.3 | | sea | 58.94 | 90.87 | | mirror | 74.07 | 81.55 | | rug | 70.59 | 86.28 | | field | 33.77 | 47.58 | | armchair | 52.28 | 71.59 | | seat | 66.12 | 91.51 | | fence | 50.24 | 68.41 | | desk | 50.8 | 83.51 | | rock | 43.84 | 55.47 | | wardrobe | 52.48 | 68.27 | | lamp | 71.91 | 82.17 | | bathtub | 81.08 | 89.15 | | railing | 34.06 | 47.78 | | cushion | 62.8 | 69.06 | | base | 34.25 | 47.1 | | box | 36.41 | 50.47 | | column | 55.12 | 70.21 | | signboard | 42.05 | 64.12 | | chest of drawers | 46.0 | 68.95 | | counter | 43.73 | 52.36 | | sand | 35.59 | 52.03 | | sink | 81.99 | 87.33 | | skyscraper | 59.08 | 70.22 | | fireplace | 78.83 | 90.9 | | refrigerator | 78.79 | 90.34 | | grandstand | 49.41 | 74.44 | | path | 24.58 | 41.86 | | stairs | 37.1 | 47.28 | | runway | 76.78 | 97.24 | | case | 59.99 | 86.98 | | pool table | 94.31 | 97.91 | | pillow | 61.42 | 76.91 | | screen door | 76.38 | 89.49 | | stairway | 38.37 | 50.42 | | river | 17.65 | 21.66 | | bridge | 74.95 | 89.64 | | bookcase | 26.37 | 38.28 | | blind | 45.26 | 56.5 | | coffee table | 66.51 | 87.45 | | toilet | 89.89 | 92.38 | | flower | 45.2 | 65.05 | | book | 52.84 | 77.72 | | hill | 7.82 | 15.76 | | bench | 66.5 | 78.53 | | countertop | 59.63 | 79.09 | | stove | 82.84 | 87.52 | | palm | 55.94 | 81.94 | | kitchen island | 51.36 | 89.15 | | computer | 77.39 | 86.35 | | swivel chair | 53.08 | 76.66 | | boat | 72.21 | 91.49 | | bar | 57.72 | 70.84 | | arcade machine | 75.13 | 81.43 | | hovel | 43.65 | 49.28 | | bus | 93.72 | 97.12 | | towel | 77.41 | 90.14 | | light | 60.18 | 83.55 | | truck | 51.35 | 67.46 | | tower | 43.73 | 80.27 | | chandelier | 66.06 | 81.4 | | awning | 38.14 | 47.52 | | streetlight | 41.96 | 69.27 | | booth | 51.91 | 66.31 | | television receiver | 76.53 | 88.61 | | airplane | 67.66 | 72.37 | | dirt track | 17.43 | 18.17 | | apparel | 47.49 | 85.5 | | pole | 31.67 | 48.53 | | land | 3.92 | 5.25 | | bannister | 15.34 | 34.32 | | escalator | 23.14 | 24.7 | | ottoman | 55.7 | 77.87 | | bottle | 43.72 | 72.86 | | buffet | 46.36 | 64.93 | | poster | 25.8 | 38.21 | | stage | 30.99 | 48.35 | | van | 44.94 | 64.27 | | ship | 77.07 | 88.84 | | fountain | 21.3 | 21.87 | | conveyer belt | 69.46 | 94.97 | | canopy | 44.2 | 77.39 | | washer | 71.53 | 75.73 | | plaything | 41.54 | 54.79 | | swimming pool | 47.45 | 50.23 | | stool | 57.41 | 74.31 | | barrel | 73.5 | 98.66 | | basket | 45.02 | 57.64 | | waterfall | 44.75 | 62.67 | | tent | 95.6 | 98.24 | | bag | 27.29 | 41.67 | | minibike | 71.29 | 92.49 | | cradle | 90.46 | 98.09 | | oven | 31.59 | 83.45 | | ball | 21.49 | 28.67 | | food | 67.32 | 76.13 | | step | 23.21 | 29.02 | | tank | 44.5 | 67.06 | | trade name | 22.85 | 29.83 | | microwave | 41.85 | 45.62 | | pot | 58.0 | 71.83 | | animal | 62.04 | 63.67 | | bicycle | 65.64 | 83.46 | | lake | 0.0 | 0.0 | | dishwasher | 81.85 | 86.93 | | screen | 52.77 | 92.71 | | blanket | 33.8 | 46.73 | | sculpture | 48.84 | 89.89 | | hood | 72.25 | 77.18 | | sconce | 60.98 | 75.19 | | vase | 53.49 | 75.88 | | traffic light | 43.1 | 74.51 | | tray | 23.04 | 36.94 | | ashcan | 48.01 | 75.94 | | fan | 72.58 | 83.75 | | pier | 34.29 | 42.41 | | crt screen | 5.59 | 15.12 | | plate | 62.7 | 82.7 | | monitor | 2.07 | 2.34 | | bulletin board | 51.7 | 69.63 | | shower | 14.19 | 28.05 | | radiator | 73.16 | 89.55 | | glass | 24.76 | 28.58 | | clock | 51.81 | 61.12 | | flag | 69.07 | 84.48 | +---------------------+-------+-------+ 2023-11-22 07:02:53,865 - mmseg - INFO - Summary: 2023-11-22 07:02:53,865 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.05 | 54.86 | 69.44 | +-------+-------+-------+ 2023-11-22 07:02:53,909 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_l_640_160k_ade20k_ss/best_mIoU_iter_46000.pth was removed 2023-11-22 07:03:00,507 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_60000.pth. 2023-11-22 07:03:00,508 - mmseg - INFO - Best mIoU is 0.5486 at 60000 iter. 2023-11-22 07:03:00,508 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 07:03:00,508 - mmseg - INFO - Iter(val) [250] aAcc: 0.8505, mIoU: 0.5486, mAcc: 0.6944, IoU.wall: 0.8106, IoU.building: 0.8434, IoU.sky: 0.9506, IoU.floor: 0.8500, IoU.tree: 0.7582, IoU.ceiling: 0.8549, IoU.road: 0.8635, IoU.bed : 0.9165, IoU.windowpane: 0.6401, IoU.grass: 0.6887, IoU.cabinet: 0.6434, IoU.sidewalk: 0.6968, IoU.person: 0.8644, IoU.earth: 0.3772, IoU.door: 0.5590, IoU.table: 0.6827, IoU.mountain: 0.6022, IoU.plant: 0.5268, IoU.curtain: 0.8037, IoU.chair: 0.6599, IoU.car: 0.8736, IoU.water: 0.5223, IoU.painting: 0.7545, IoU.sofa: 0.7588, IoU.shelf: 0.4435, IoU.house: 0.4773, IoU.sea: 0.5894, IoU.mirror: 0.7407, IoU.rug: 0.7059, IoU.field: 0.3377, IoU.armchair: 0.5228, IoU.seat: 0.6612, IoU.fence: 0.5024, IoU.desk: 0.5080, IoU.rock: 0.4384, IoU.wardrobe: 0.5248, IoU.lamp: 0.7191, IoU.bathtub: 0.8108, IoU.railing: 0.3406, IoU.cushion: 0.6280, IoU.base: 0.3425, IoU.box: 0.3641, IoU.column: 0.5512, IoU.signboard: 0.4205, IoU.chest of drawers: 0.4600, IoU.counter: 0.4373, IoU.sand: 0.3559, IoU.sink: 0.8199, IoU.skyscraper: 0.5908, IoU.fireplace: 0.7883, IoU.refrigerator: 0.7879, IoU.grandstand: 0.4941, IoU.path: 0.2458, IoU.stairs: 0.3710, IoU.runway: 0.7678, IoU.case: 0.5999, IoU.pool table: 0.9431, IoU.pillow: 0.6142, IoU.screen door: 0.7638, IoU.stairway: 0.3837, IoU.river: 0.1765, IoU.bridge: 0.7495, IoU.bookcase: 0.2637, IoU.blind: 0.4526, IoU.coffee table: 0.6651, IoU.toilet: 0.8989, IoU.flower: 0.4520, IoU.book: 0.5284, IoU.hill: 0.0782, IoU.bench: 0.6650, IoU.countertop: 0.5963, IoU.stove: 0.8284, IoU.palm: 0.5594, IoU.kitchen island: 0.5136, IoU.computer: 0.7739, IoU.swivel chair: 0.5308, IoU.boat: 0.7221, IoU.bar: 0.5772, IoU.arcade machine: 0.7513, IoU.hovel: 0.4365, IoU.bus: 0.9372, IoU.towel: 0.7741, IoU.light: 0.6018, IoU.truck: 0.5135, IoU.tower: 0.4373, IoU.chandelier: 0.6606, IoU.awning: 0.3814, IoU.streetlight: 0.4196, IoU.booth: 0.5191, IoU.television receiver: 0.7653, IoU.airplane: 0.6766, IoU.dirt track: 0.1743, IoU.apparel: 0.4749, IoU.pole: 0.3167, IoU.land: 0.0392, IoU.bannister: 0.1534, IoU.escalator: 0.2314, IoU.ottoman: 0.5570, IoU.bottle: 0.4372, IoU.buffet: 0.4636, IoU.poster: 0.2580, IoU.stage: 0.3099, IoU.van: 0.4494, IoU.ship: 0.7707, IoU.fountain: 0.2130, IoU.conveyer belt: 0.6946, IoU.canopy: 0.4420, IoU.washer: 0.7153, IoU.plaything: 0.4154, IoU.swimming pool: 0.4745, IoU.stool: 0.5741, IoU.barrel: 0.7350, IoU.basket: 0.4502, IoU.waterfall: 0.4475, IoU.tent: 0.9560, IoU.bag: 0.2729, IoU.minibike: 0.7129, IoU.cradle: 0.9046, IoU.oven: 0.3159, IoU.ball: 0.2149, IoU.food: 0.6732, IoU.step: 0.2321, IoU.tank: 0.4450, IoU.trade name: 0.2285, IoU.microwave: 0.4185, IoU.pot: 0.5800, IoU.animal: 0.6204, IoU.bicycle: 0.6564, IoU.lake: 0.0000, IoU.dishwasher: 0.8185, IoU.screen: 0.5277, IoU.blanket: 0.3380, IoU.sculpture: 0.4884, IoU.hood: 0.7225, IoU.sconce: 0.6098, IoU.vase: 0.5349, IoU.traffic light: 0.4310, IoU.tray: 0.2304, IoU.ashcan: 0.4801, IoU.fan: 0.7258, IoU.pier: 0.3429, IoU.crt screen: 0.0559, IoU.plate: 0.6270, IoU.monitor: 0.0207, IoU.bulletin board: 0.5170, IoU.shower: 0.1419, IoU.radiator: 0.7316, IoU.glass: 0.2476, IoU.clock: 0.5181, IoU.flag: 0.6907, Acc.wall: 0.8776, Acc.building: 0.9174, Acc.sky: 0.9760, Acc.floor: 0.9051, Acc.tree: 0.8707, Acc.ceiling: 0.9275, Acc.road: 0.9120, Acc.bed : 0.9654, Acc.windowpane: 0.8127, Acc.grass: 0.8031, Acc.cabinet: 0.7882, Acc.sidewalk: 0.8468, Acc.person: 0.9331, Acc.earth: 0.5428, Acc.door: 0.7264, Acc.table: 0.8260, Acc.mountain: 0.8564, Acc.plant: 0.6594, Acc.curtain: 0.8931, Acc.chair: 0.7529, Acc.car: 0.9358, Acc.water: 0.6847, Acc.painting: 0.9011, Acc.sofa: 0.8971, Acc.shelf: 0.5442, Acc.house: 0.7130, Acc.sea: 0.9087, Acc.mirror: 0.8155, Acc.rug: 0.8628, Acc.field: 0.4758, Acc.armchair: 0.7159, Acc.seat: 0.9151, Acc.fence: 0.6841, Acc.desk: 0.8351, Acc.rock: 0.5547, Acc.wardrobe: 0.6827, Acc.lamp: 0.8217, Acc.bathtub: 0.8915, Acc.railing: 0.4778, Acc.cushion: 0.6906, Acc.base: 0.4710, Acc.box: 0.5047, Acc.column: 0.7021, Acc.signboard: 0.6412, Acc.chest of drawers: 0.6895, Acc.counter: 0.5236, Acc.sand: 0.5203, Acc.sink: 0.8733, Acc.skyscraper: 0.7022, Acc.fireplace: 0.9090, Acc.refrigerator: 0.9034, Acc.grandstand: 0.7444, Acc.path: 0.4186, Acc.stairs: 0.4728, Acc.runway: 0.9724, Acc.case: 0.8698, Acc.pool table: 0.9791, Acc.pillow: 0.7691, Acc.screen door: 0.8949, Acc.stairway: 0.5042, Acc.river: 0.2166, Acc.bridge: 0.8964, Acc.bookcase: 0.3828, Acc.blind: 0.5650, Acc.coffee table: 0.8745, Acc.toilet: 0.9238, Acc.flower: 0.6505, Acc.book: 0.7772, Acc.hill: 0.1576, Acc.bench: 0.7853, Acc.countertop: 0.7909, Acc.stove: 0.8752, Acc.palm: 0.8194, Acc.kitchen island: 0.8915, Acc.computer: 0.8635, Acc.swivel chair: 0.7666, Acc.boat: 0.9149, Acc.bar: 0.7084, Acc.arcade machine: 0.8143, Acc.hovel: 0.4928, Acc.bus: 0.9712, Acc.towel: 0.9014, Acc.light: 0.8355, Acc.truck: 0.6746, Acc.tower: 0.8027, Acc.chandelier: 0.8140, Acc.awning: 0.4752, Acc.streetlight: 0.6927, Acc.booth: 0.6631, Acc.television receiver: 0.8861, Acc.airplane: 0.7237, Acc.dirt track: 0.1817, Acc.apparel: 0.8550, Acc.pole: 0.4853, Acc.land: 0.0525, Acc.bannister: 0.3432, Acc.escalator: 0.2470, Acc.ottoman: 0.7787, Acc.bottle: 0.7286, Acc.buffet: 0.6493, Acc.poster: 0.3821, Acc.stage: 0.4835, Acc.van: 0.6427, Acc.ship: 0.8884, Acc.fountain: 0.2187, Acc.conveyer belt: 0.9497, Acc.canopy: 0.7739, Acc.washer: 0.7573, Acc.plaything: 0.5479, Acc.swimming pool: 0.5023, Acc.stool: 0.7431, Acc.barrel: 0.9866, Acc.basket: 0.5764, Acc.waterfall: 0.6267, Acc.tent: 0.9824, Acc.bag: 0.4167, Acc.minibike: 0.9249, Acc.cradle: 0.9809, Acc.oven: 0.8345, Acc.ball: 0.2867, Acc.food: 0.7613, Acc.step: 0.2902, Acc.tank: 0.6706, Acc.trade name: 0.2983, Acc.microwave: 0.4562, Acc.pot: 0.7183, Acc.animal: 0.6367, Acc.bicycle: 0.8346, Acc.lake: 0.0000, Acc.dishwasher: 0.8693, Acc.screen: 0.9271, Acc.blanket: 0.4673, Acc.sculpture: 0.8989, Acc.hood: 0.7718, Acc.sconce: 0.7519, Acc.vase: 0.7588, Acc.traffic light: 0.7451, Acc.tray: 0.3694, Acc.ashcan: 0.7594, Acc.fan: 0.8375, Acc.pier: 0.4241, Acc.crt screen: 0.1512, Acc.plate: 0.8270, Acc.monitor: 0.0234, Acc.bulletin board: 0.6963, Acc.shower: 0.2805, Acc.radiator: 0.8955, Acc.glass: 0.2858, Acc.clock: 0.6112, Acc.flag: 0.8448 2023-11-22 07:03:28,899 - mmseg - INFO - Iter [60050/160000] lr: 5.950e-06, eta: 16:18:43, time: 1.090, data_time: 0.537, memory: 38143, decode.loss_cls: 0.3170, decode.loss_mask: 0.5596, decode.loss_dice: 0.8033, decode.d0.loss_cls: 1.4407, decode.d0.loss_mask: 0.5962, decode.d0.loss_dice: 0.9107, decode.d1.loss_cls: 0.4056, decode.d1.loss_mask: 0.5789, decode.d1.loss_dice: 0.8554, decode.d2.loss_cls: 0.3571, decode.d2.loss_mask: 0.5669, decode.d2.loss_dice: 0.8266, decode.d3.loss_cls: 0.3353, decode.d3.loss_mask: 0.5632, decode.d3.loss_dice: 0.8091, decode.d4.loss_cls: 0.3271, decode.d4.loss_mask: 0.5611, decode.d4.loss_dice: 0.8121, decode.d5.loss_cls: 0.3255, decode.d5.loss_mask: 0.5574, decode.d5.loss_dice: 0.8120, decode.d6.loss_cls: 0.3215, decode.d6.loss_mask: 0.5586, decode.d6.loss_dice: 0.8035, decode.d7.loss_cls: 0.3218, decode.d7.loss_mask: 0.5562, decode.d7.loss_dice: 0.8024, decode.d8.loss_cls: 0.3164, decode.d8.loss_mask: 0.5590, decode.d8.loss_dice: 0.8085, loss: 18.3688, grad_norm: 74.3575 2023-11-22 07:03:57,384 - mmseg - INFO - Iter [60100/160000] lr: 5.947e-06, eta: 16:18:12, time: 0.570, data_time: 0.015, memory: 38143, decode.loss_cls: 0.3542, decode.loss_mask: 0.5657, decode.loss_dice: 0.8065, decode.d0.loss_cls: 1.4925, decode.d0.loss_mask: 0.6089, decode.d0.loss_dice: 0.9280, decode.d1.loss_cls: 0.4393, decode.d1.loss_mask: 0.5957, decode.d1.loss_dice: 0.8673, decode.d2.loss_cls: 0.3899, decode.d2.loss_mask: 0.5770, decode.d2.loss_dice: 0.8313, decode.d3.loss_cls: 0.3703, decode.d3.loss_mask: 0.5720, decode.d3.loss_dice: 0.8154, decode.d4.loss_cls: 0.3670, decode.d4.loss_mask: 0.5703, decode.d4.loss_dice: 0.8194, decode.d5.loss_cls: 0.3630, decode.d5.loss_mask: 0.5672, decode.d5.loss_dice: 0.8135, decode.d6.loss_cls: 0.3591, decode.d6.loss_mask: 0.5649, decode.d6.loss_dice: 0.8050, decode.d7.loss_cls: 0.3479, decode.d7.loss_mask: 0.5682, decode.d7.loss_dice: 0.8095, decode.d8.loss_cls: 0.3500, decode.d8.loss_mask: 0.5663, decode.d8.loss_dice: 0.8103, loss: 18.8956, grad_norm: 73.2734 2023-11-22 07:04:25,816 - mmseg - INFO - Iter [60150/160000] lr: 5.944e-06, eta: 16:17:42, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3334, decode.loss_mask: 0.5627, decode.loss_dice: 0.8146, decode.d0.loss_cls: 1.4686, decode.d0.loss_mask: 0.5851, decode.d0.loss_dice: 0.9081, decode.d1.loss_cls: 0.4256, decode.d1.loss_mask: 0.5846, decode.d1.loss_dice: 0.8634, decode.d2.loss_cls: 0.3659, decode.d2.loss_mask: 0.5726, decode.d2.loss_dice: 0.8407, decode.d3.loss_cls: 0.3482, decode.d3.loss_mask: 0.5663, decode.d3.loss_dice: 0.8273, decode.d4.loss_cls: 0.3435, decode.d4.loss_mask: 0.5676, decode.d4.loss_dice: 0.8275, decode.d5.loss_cls: 0.3390, decode.d5.loss_mask: 0.5617, decode.d5.loss_dice: 0.8188, decode.d6.loss_cls: 0.3339, decode.d6.loss_mask: 0.5614, decode.d6.loss_dice: 0.8213, decode.d7.loss_cls: 0.3359, decode.d7.loss_mask: 0.5630, decode.d7.loss_dice: 0.8164, decode.d8.loss_cls: 0.3319, decode.d8.loss_mask: 0.5630, decode.d8.loss_dice: 0.8204, loss: 18.6725, grad_norm: 74.8748 2023-11-22 07:04:54,257 - mmseg - INFO - Iter [60200/160000] lr: 5.941e-06, eta: 16:17:11, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3292, decode.loss_mask: 0.5707, decode.loss_dice: 0.8156, decode.d0.loss_cls: 1.4725, decode.d0.loss_mask: 0.6036, decode.d0.loss_dice: 0.9165, decode.d1.loss_cls: 0.4290, decode.d1.loss_mask: 0.5932, decode.d1.loss_dice: 0.8675, decode.d2.loss_cls: 0.3742, decode.d2.loss_mask: 0.5821, decode.d2.loss_dice: 0.8415, decode.d3.loss_cls: 0.3531, decode.d3.loss_mask: 0.5756, decode.d3.loss_dice: 0.8262, decode.d4.loss_cls: 0.3450, decode.d4.loss_mask: 0.5740, decode.d4.loss_dice: 0.8235, decode.d5.loss_cls: 0.3407, decode.d5.loss_mask: 0.5718, decode.d5.loss_dice: 0.8185, decode.d6.loss_cls: 0.3322, decode.d6.loss_mask: 0.5696, decode.d6.loss_dice: 0.8129, decode.d7.loss_cls: 0.3284, decode.d7.loss_mask: 0.5715, decode.d7.loss_dice: 0.8141, decode.d8.loss_cls: 0.3271, decode.d8.loss_mask: 0.5721, decode.d8.loss_dice: 0.8163, loss: 18.7681, grad_norm: 71.5192 2023-11-22 07:05:22,644 - mmseg - INFO - Iter [60250/160000] lr: 5.938e-06, eta: 16:16:40, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3422, decode.loss_mask: 0.5559, decode.loss_dice: 0.8112, decode.d0.loss_cls: 1.4737, decode.d0.loss_mask: 0.5907, decode.d0.loss_dice: 0.9271, decode.d1.loss_cls: 0.4352, decode.d1.loss_mask: 0.5774, decode.d1.loss_dice: 0.8685, decode.d2.loss_cls: 0.3699, decode.d2.loss_mask: 0.5642, decode.d2.loss_dice: 0.8476, decode.d3.loss_cls: 0.3571, decode.d3.loss_mask: 0.5582, decode.d3.loss_dice: 0.8241, decode.d4.loss_cls: 0.3417, decode.d4.loss_mask: 0.5577, decode.d4.loss_dice: 0.8193, decode.d5.loss_cls: 0.3382, decode.d5.loss_mask: 0.5575, decode.d5.loss_dice: 0.8222, decode.d6.loss_cls: 0.3368, decode.d6.loss_mask: 0.5583, decode.d6.loss_dice: 0.8159, decode.d7.loss_cls: 0.3392, decode.d7.loss_mask: 0.5563, decode.d7.loss_dice: 0.8148, decode.d8.loss_cls: 0.3393, decode.d8.loss_mask: 0.5555, decode.d8.loss_dice: 0.8134, loss: 18.6689, grad_norm: 74.8301 2023-11-22 07:05:51,094 - mmseg - INFO - Iter [60300/160000] lr: 5.935e-06, eta: 16:16:09, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3215, decode.loss_mask: 0.5537, decode.loss_dice: 0.7740, decode.d0.loss_cls: 1.4489, decode.d0.loss_mask: 0.5939, decode.d0.loss_dice: 0.8835, decode.d1.loss_cls: 0.4351, decode.d1.loss_mask: 0.5785, decode.d1.loss_dice: 0.8160, decode.d2.loss_cls: 0.3679, decode.d2.loss_mask: 0.5638, decode.d2.loss_dice: 0.8019, decode.d3.loss_cls: 0.3396, decode.d3.loss_mask: 0.5603, decode.d3.loss_dice: 0.7858, decode.d4.loss_cls: 0.3281, decode.d4.loss_mask: 0.5551, decode.d4.loss_dice: 0.7842, decode.d5.loss_cls: 0.3255, decode.d5.loss_mask: 0.5563, decode.d5.loss_dice: 0.7828, decode.d6.loss_cls: 0.3253, decode.d6.loss_mask: 0.5536, decode.d6.loss_dice: 0.7757, decode.d7.loss_cls: 0.3255, decode.d7.loss_mask: 0.5511, decode.d7.loss_dice: 0.7740, decode.d8.loss_cls: 0.3260, decode.d8.loss_mask: 0.5532, decode.d8.loss_dice: 0.7740, loss: 18.1148, grad_norm: 73.9376 2023-11-22 07:06:19,514 - mmseg - INFO - Iter [60350/160000] lr: 5.932e-06, eta: 16:15:38, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3649, decode.loss_mask: 0.5598, decode.loss_dice: 0.8061, decode.d0.loss_cls: 1.4992, decode.d0.loss_mask: 0.6024, decode.d0.loss_dice: 0.9322, decode.d1.loss_cls: 0.4445, decode.d1.loss_mask: 0.5876, decode.d1.loss_dice: 0.8673, decode.d2.loss_cls: 0.3997, decode.d2.loss_mask: 0.5732, decode.d2.loss_dice: 0.8353, decode.d3.loss_cls: 0.3814, decode.d3.loss_mask: 0.5686, decode.d3.loss_dice: 0.8155, decode.d4.loss_cls: 0.3722, decode.d4.loss_mask: 0.5671, decode.d4.loss_dice: 0.8187, decode.d5.loss_cls: 0.3665, decode.d5.loss_mask: 0.5623, decode.d5.loss_dice: 0.8177, decode.d6.loss_cls: 0.3659, decode.d6.loss_mask: 0.5595, decode.d6.loss_dice: 0.8070, decode.d7.loss_cls: 0.3666, decode.d7.loss_mask: 0.5584, decode.d7.loss_dice: 0.8079, decode.d8.loss_cls: 0.3616, decode.d8.loss_mask: 0.5609, decode.d8.loss_dice: 0.8062, loss: 18.9363, grad_norm: 77.8437 2023-11-22 07:06:48,024 - mmseg - INFO - Iter [60400/160000] lr: 5.929e-06, eta: 16:15:07, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3586, decode.loss_mask: 0.5714, decode.loss_dice: 0.8368, decode.d0.loss_cls: 1.4789, decode.d0.loss_mask: 0.6071, decode.d0.loss_dice: 0.9497, decode.d1.loss_cls: 0.4624, decode.d1.loss_mask: 0.5893, decode.d1.loss_dice: 0.8991, decode.d2.loss_cls: 0.4029, decode.d2.loss_mask: 0.5817, decode.d2.loss_dice: 0.8652, decode.d3.loss_cls: 0.3802, decode.d3.loss_mask: 0.5751, decode.d3.loss_dice: 0.8481, decode.d4.loss_cls: 0.3753, decode.d4.loss_mask: 0.5730, decode.d4.loss_dice: 0.8440, decode.d5.loss_cls: 0.3713, decode.d5.loss_mask: 0.5743, decode.d5.loss_dice: 0.8444, decode.d6.loss_cls: 0.3637, decode.d6.loss_mask: 0.5711, decode.d6.loss_dice: 0.8396, decode.d7.loss_cls: 0.3648, decode.d7.loss_mask: 0.5710, decode.d7.loss_dice: 0.8386, decode.d8.loss_cls: 0.3633, decode.d8.loss_mask: 0.5701, decode.d8.loss_dice: 0.8364, loss: 19.3075, grad_norm: 75.5411 2023-11-22 07:07:16,450 - mmseg - INFO - Iter [60450/160000] lr: 5.926e-06, eta: 16:14:36, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3207, decode.loss_mask: 0.5475, decode.loss_dice: 0.8082, decode.d0.loss_cls: 1.4687, decode.d0.loss_mask: 0.5755, decode.d0.loss_dice: 0.9250, decode.d1.loss_cls: 0.4156, decode.d1.loss_mask: 0.5659, decode.d1.loss_dice: 0.8635, decode.d2.loss_cls: 0.3656, decode.d2.loss_mask: 0.5560, decode.d2.loss_dice: 0.8302, decode.d3.loss_cls: 0.3435, decode.d3.loss_mask: 0.5519, decode.d3.loss_dice: 0.8152, decode.d4.loss_cls: 0.3398, decode.d4.loss_mask: 0.5491, decode.d4.loss_dice: 0.8153, decode.d5.loss_cls: 0.3311, decode.d5.loss_mask: 0.5460, decode.d5.loss_dice: 0.8147, decode.d6.loss_cls: 0.3256, decode.d6.loss_mask: 0.5456, decode.d6.loss_dice: 0.8043, decode.d7.loss_cls: 0.3237, decode.d7.loss_mask: 0.5467, decode.d7.loss_dice: 0.8084, decode.d8.loss_cls: 0.3230, decode.d8.loss_mask: 0.5463, decode.d8.loss_dice: 0.8080, loss: 18.3808, grad_norm: 75.5391 2023-11-22 07:07:44,783 - mmseg - INFO - Iter [60500/160000] lr: 5.923e-06, eta: 16:14:05, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3609, decode.loss_mask: 0.5323, decode.loss_dice: 0.8210, decode.d0.loss_cls: 1.5130, decode.d0.loss_mask: 0.5739, decode.d0.loss_dice: 0.9434, decode.d1.loss_cls: 0.4527, decode.d1.loss_mask: 0.5563, decode.d1.loss_dice: 0.8714, decode.d2.loss_cls: 0.3959, decode.d2.loss_mask: 0.5451, decode.d2.loss_dice: 0.8520, decode.d3.loss_cls: 0.3790, decode.d3.loss_mask: 0.5378, decode.d3.loss_dice: 0.8344, decode.d4.loss_cls: 0.3692, decode.d4.loss_mask: 0.5361, decode.d4.loss_dice: 0.8375, decode.d5.loss_cls: 0.3599, decode.d5.loss_mask: 0.5384, decode.d5.loss_dice: 0.8356, decode.d6.loss_cls: 0.3534, decode.d6.loss_mask: 0.5358, decode.d6.loss_dice: 0.8269, decode.d7.loss_cls: 0.3520, decode.d7.loss_mask: 0.5341, decode.d7.loss_dice: 0.8290, decode.d8.loss_cls: 0.3567, decode.d8.loss_mask: 0.5318, decode.d8.loss_dice: 0.8252, loss: 18.7905, grad_norm: 78.9994 2023-11-22 07:08:13,135 - mmseg - INFO - Iter [60550/160000] lr: 5.920e-06, eta: 16:13:34, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3487, decode.loss_mask: 0.5549, decode.loss_dice: 0.8277, decode.d0.loss_cls: 1.4951, decode.d0.loss_mask: 0.5874, decode.d0.loss_dice: 0.9489, decode.d1.loss_cls: 0.4535, decode.d1.loss_mask: 0.5742, decode.d1.loss_dice: 0.8823, decode.d2.loss_cls: 0.3931, decode.d2.loss_mask: 0.5634, decode.d2.loss_dice: 0.8599, decode.d3.loss_cls: 0.3699, decode.d3.loss_mask: 0.5559, decode.d3.loss_dice: 0.8468, decode.d4.loss_cls: 0.3614, decode.d4.loss_mask: 0.5556, decode.d4.loss_dice: 0.8396, decode.d5.loss_cls: 0.3541, decode.d5.loss_mask: 0.5550, decode.d5.loss_dice: 0.8397, decode.d6.loss_cls: 0.3522, decode.d6.loss_mask: 0.5554, decode.d6.loss_dice: 0.8354, decode.d7.loss_cls: 0.3498, decode.d7.loss_mask: 0.5532, decode.d7.loss_dice: 0.8301, decode.d8.loss_cls: 0.3496, decode.d8.loss_mask: 0.5538, decode.d8.loss_dice: 0.8321, loss: 18.9784, grad_norm: 70.8083 2023-11-22 07:08:41,474 - mmseg - INFO - Iter [60600/160000] lr: 5.917e-06, eta: 16:13:03, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3450, decode.loss_mask: 0.5447, decode.loss_dice: 0.8144, decode.d0.loss_cls: 1.4795, decode.d0.loss_mask: 0.5755, decode.d0.loss_dice: 0.9162, decode.d1.loss_cls: 0.4321, decode.d1.loss_mask: 0.5625, decode.d1.loss_dice: 0.8636, decode.d2.loss_cls: 0.3813, decode.d2.loss_mask: 0.5564, decode.d2.loss_dice: 0.8439, decode.d3.loss_cls: 0.3658, decode.d3.loss_mask: 0.5462, decode.d3.loss_dice: 0.8201, decode.d4.loss_cls: 0.3504, decode.d4.loss_mask: 0.5479, decode.d4.loss_dice: 0.8218, decode.d5.loss_cls: 0.3392, decode.d5.loss_mask: 0.5487, decode.d5.loss_dice: 0.8232, decode.d6.loss_cls: 0.3440, decode.d6.loss_mask: 0.5454, decode.d6.loss_dice: 0.8164, decode.d7.loss_cls: 0.3389, decode.d7.loss_mask: 0.5465, decode.d7.loss_dice: 0.8202, decode.d8.loss_cls: 0.3431, decode.d8.loss_mask: 0.5457, decode.d8.loss_dice: 0.8202, loss: 18.5988, grad_norm: 73.9455 2023-11-22 07:09:12,264 - mmseg - INFO - Iter [60650/160000] lr: 5.914e-06, eta: 16:12:36, time: 0.616, data_time: 0.059, memory: 38143, decode.loss_cls: 0.3219, decode.loss_mask: 0.5758, decode.loss_dice: 0.8254, decode.d0.loss_cls: 1.4461, decode.d0.loss_mask: 0.6163, decode.d0.loss_dice: 0.9371, decode.d1.loss_cls: 0.4139, decode.d1.loss_mask: 0.5986, decode.d1.loss_dice: 0.8755, decode.d2.loss_cls: 0.3608, decode.d2.loss_mask: 0.5883, decode.d2.loss_dice: 0.8460, decode.d3.loss_cls: 0.3454, decode.d3.loss_mask: 0.5805, decode.d3.loss_dice: 0.8287, decode.d4.loss_cls: 0.3314, decode.d4.loss_mask: 0.5795, decode.d4.loss_dice: 0.8267, decode.d5.loss_cls: 0.3298, decode.d5.loss_mask: 0.5773, decode.d5.loss_dice: 0.8290, decode.d6.loss_cls: 0.3230, decode.d6.loss_mask: 0.5790, decode.d6.loss_dice: 0.8237, decode.d7.loss_cls: 0.3218, decode.d7.loss_mask: 0.5783, decode.d7.loss_dice: 0.8260, decode.d8.loss_cls: 0.3194, decode.d8.loss_mask: 0.5769, decode.d8.loss_dice: 0.8273, loss: 18.8095, grad_norm: 72.9428 2023-11-22 07:09:40,659 - mmseg - INFO - Iter [60700/160000] lr: 5.911e-06, eta: 16:12:05, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3236, decode.loss_mask: 0.5409, decode.loss_dice: 0.7886, decode.d0.loss_cls: 1.4914, decode.d0.loss_mask: 0.5756, decode.d0.loss_dice: 0.8904, decode.d1.loss_cls: 0.4224, decode.d1.loss_mask: 0.5597, decode.d1.loss_dice: 0.8326, decode.d2.loss_cls: 0.3645, decode.d2.loss_mask: 0.5482, decode.d2.loss_dice: 0.8180, decode.d3.loss_cls: 0.3459, decode.d3.loss_mask: 0.5432, decode.d3.loss_dice: 0.7958, decode.d4.loss_cls: 0.3353, decode.d4.loss_mask: 0.5417, decode.d4.loss_dice: 0.7916, decode.d5.loss_cls: 0.3295, decode.d5.loss_mask: 0.5421, decode.d5.loss_dice: 0.7916, decode.d6.loss_cls: 0.3308, decode.d6.loss_mask: 0.5403, decode.d6.loss_dice: 0.7881, decode.d7.loss_cls: 0.3256, decode.d7.loss_mask: 0.5389, decode.d7.loss_dice: 0.7871, decode.d8.loss_cls: 0.3276, decode.d8.loss_mask: 0.5380, decode.d8.loss_dice: 0.7813, loss: 18.1302, grad_norm: 71.4043 2023-11-22 07:10:08,995 - mmseg - INFO - Iter [60750/160000] lr: 5.908e-06, eta: 16:11:34, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3142, decode.loss_mask: 0.5520, decode.loss_dice: 0.8097, decode.d0.loss_cls: 1.4556, decode.d0.loss_mask: 0.5842, decode.d0.loss_dice: 0.9163, decode.d1.loss_cls: 0.4059, decode.d1.loss_mask: 0.5743, decode.d1.loss_dice: 0.8591, decode.d2.loss_cls: 0.3575, decode.d2.loss_mask: 0.5640, decode.d2.loss_dice: 0.8383, decode.d3.loss_cls: 0.3378, decode.d3.loss_mask: 0.5539, decode.d3.loss_dice: 0.8181, decode.d4.loss_cls: 0.3277, decode.d4.loss_mask: 0.5548, decode.d4.loss_dice: 0.8147, decode.d5.loss_cls: 0.3255, decode.d5.loss_mask: 0.5557, decode.d5.loss_dice: 0.8173, decode.d6.loss_cls: 0.3162, decode.d6.loss_mask: 0.5550, decode.d6.loss_dice: 0.8114, decode.d7.loss_cls: 0.3172, decode.d7.loss_mask: 0.5547, decode.d7.loss_dice: 0.8123, decode.d8.loss_cls: 0.3112, decode.d8.loss_mask: 0.5538, decode.d8.loss_dice: 0.8088, loss: 18.3773, grad_norm: 67.1825 2023-11-22 07:10:37,239 - mmseg - INFO - Iter [60800/160000] lr: 5.905e-06, eta: 16:11:03, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3332, decode.loss_mask: 0.5264, decode.loss_dice: 0.8022, decode.d0.loss_cls: 1.4594, decode.d0.loss_mask: 0.5679, decode.d0.loss_dice: 0.9229, decode.d1.loss_cls: 0.4259, decode.d1.loss_mask: 0.5490, decode.d1.loss_dice: 0.8623, decode.d2.loss_cls: 0.3681, decode.d2.loss_mask: 0.5361, decode.d2.loss_dice: 0.8341, decode.d3.loss_cls: 0.3456, decode.d3.loss_mask: 0.5325, decode.d3.loss_dice: 0.8155, decode.d4.loss_cls: 0.3398, decode.d4.loss_mask: 0.5333, decode.d4.loss_dice: 0.8144, decode.d5.loss_cls: 0.3358, decode.d5.loss_mask: 0.5313, decode.d5.loss_dice: 0.8096, decode.d6.loss_cls: 0.3341, decode.d6.loss_mask: 0.5311, decode.d6.loss_dice: 0.8067, decode.d7.loss_cls: 0.3344, decode.d7.loss_mask: 0.5282, decode.d7.loss_dice: 0.8050, decode.d8.loss_cls: 0.3337, decode.d8.loss_mask: 0.5273, decode.d8.loss_dice: 0.8078, loss: 18.2539, grad_norm: 69.0974 2023-11-22 07:11:05,536 - mmseg - INFO - Iter [60850/160000] lr: 5.902e-06, eta: 16:10:31, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3311, decode.loss_mask: 0.5613, decode.loss_dice: 0.8036, decode.d0.loss_cls: 1.4384, decode.d0.loss_mask: 0.6028, decode.d0.loss_dice: 0.9109, decode.d1.loss_cls: 0.4249, decode.d1.loss_mask: 0.5871, decode.d1.loss_dice: 0.8521, decode.d2.loss_cls: 0.3760, decode.d2.loss_mask: 0.5719, decode.d2.loss_dice: 0.8243, decode.d3.loss_cls: 0.3492, decode.d3.loss_mask: 0.5651, decode.d3.loss_dice: 0.8107, decode.d4.loss_cls: 0.3438, decode.d4.loss_mask: 0.5639, decode.d4.loss_dice: 0.8065, decode.d5.loss_cls: 0.3381, decode.d5.loss_mask: 0.5662, decode.d5.loss_dice: 0.8103, decode.d6.loss_cls: 0.3401, decode.d6.loss_mask: 0.5626, decode.d6.loss_dice: 0.8012, decode.d7.loss_cls: 0.3351, decode.d7.loss_mask: 0.5613, decode.d7.loss_dice: 0.8046, decode.d8.loss_cls: 0.3338, decode.d8.loss_mask: 0.5629, decode.d8.loss_dice: 0.8031, loss: 18.5430, grad_norm: 71.9182 2023-11-22 07:11:33,963 - mmseg - INFO - Iter [60900/160000] lr: 5.900e-06, eta: 16:10:01, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3320, decode.loss_mask: 0.5673, decode.loss_dice: 0.8165, decode.d0.loss_cls: 1.4735, decode.d0.loss_mask: 0.6003, decode.d0.loss_dice: 0.9345, decode.d1.loss_cls: 0.4358, decode.d1.loss_mask: 0.5893, decode.d1.loss_dice: 0.8746, decode.d2.loss_cls: 0.3730, decode.d2.loss_mask: 0.5751, decode.d2.loss_dice: 0.8406, decode.d3.loss_cls: 0.3499, decode.d3.loss_mask: 0.5704, decode.d3.loss_dice: 0.8246, decode.d4.loss_cls: 0.3424, decode.d4.loss_mask: 0.5678, decode.d4.loss_dice: 0.8259, decode.d5.loss_cls: 0.3381, decode.d5.loss_mask: 0.5689, decode.d5.loss_dice: 0.8214, decode.d6.loss_cls: 0.3352, decode.d6.loss_mask: 0.5673, decode.d6.loss_dice: 0.8168, decode.d7.loss_cls: 0.3297, decode.d7.loss_mask: 0.5674, decode.d7.loss_dice: 0.8163, decode.d8.loss_cls: 0.3363, decode.d8.loss_mask: 0.5649, decode.d8.loss_dice: 0.8207, loss: 18.7766, grad_norm: 74.6775 2023-11-22 07:12:02,297 - mmseg - INFO - Iter [60950/160000] lr: 5.897e-06, eta: 16:09:30, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3351, decode.loss_mask: 0.5540, decode.loss_dice: 0.8200, decode.d0.loss_cls: 1.4977, decode.d0.loss_mask: 0.5952, decode.d0.loss_dice: 0.9456, decode.d1.loss_cls: 0.4297, decode.d1.loss_mask: 0.5809, decode.d1.loss_dice: 0.8930, decode.d2.loss_cls: 0.3658, decode.d2.loss_mask: 0.5669, decode.d2.loss_dice: 0.8582, decode.d3.loss_cls: 0.3615, decode.d3.loss_mask: 0.5581, decode.d3.loss_dice: 0.8325, decode.d4.loss_cls: 0.3502, decode.d4.loss_mask: 0.5575, decode.d4.loss_dice: 0.8328, decode.d5.loss_cls: 0.3433, decode.d5.loss_mask: 0.5567, decode.d5.loss_dice: 0.8281, decode.d6.loss_cls: 0.3349, decode.d6.loss_mask: 0.5564, decode.d6.loss_dice: 0.8219, decode.d7.loss_cls: 0.3358, decode.d7.loss_mask: 0.5534, decode.d7.loss_dice: 0.8248, decode.d8.loss_cls: 0.3338, decode.d8.loss_mask: 0.5537, decode.d8.loss_dice: 0.8257, loss: 18.8028, grad_norm: 71.9296 2023-11-22 07:12:30,726 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 07:12:30,726 - mmseg - INFO - Iter [61000/160000] lr: 5.894e-06, eta: 16:08:59, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3178, decode.loss_mask: 0.5446, decode.loss_dice: 0.7974, decode.d0.loss_cls: 1.4740, decode.d0.loss_mask: 0.5813, decode.d0.loss_dice: 0.9061, decode.d1.loss_cls: 0.4045, decode.d1.loss_mask: 0.5628, decode.d1.loss_dice: 0.8488, decode.d2.loss_cls: 0.3509, decode.d2.loss_mask: 0.5565, decode.d2.loss_dice: 0.8146, decode.d3.loss_cls: 0.3299, decode.d3.loss_mask: 0.5501, decode.d3.loss_dice: 0.8009, decode.d4.loss_cls: 0.3270, decode.d4.loss_mask: 0.5441, decode.d4.loss_dice: 0.7958, decode.d5.loss_cls: 0.3175, decode.d5.loss_mask: 0.5434, decode.d5.loss_dice: 0.8069, decode.d6.loss_cls: 0.3179, decode.d6.loss_mask: 0.5448, decode.d6.loss_dice: 0.7987, decode.d7.loss_cls: 0.3160, decode.d7.loss_mask: 0.5443, decode.d7.loss_dice: 0.8007, decode.d8.loss_cls: 0.3170, decode.d8.loss_mask: 0.5438, decode.d8.loss_dice: 0.8006, loss: 18.1587, grad_norm: 68.8091 2023-11-22 07:12:59,274 - mmseg - INFO - Iter [61050/160000] lr: 5.891e-06, eta: 16:08:28, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3357, decode.loss_mask: 0.5400, decode.loss_dice: 0.7965, decode.d0.loss_cls: 1.4856, decode.d0.loss_mask: 0.5717, decode.d0.loss_dice: 0.8968, decode.d1.loss_cls: 0.4250, decode.d1.loss_mask: 0.5600, decode.d1.loss_dice: 0.8542, decode.d2.loss_cls: 0.3761, decode.d2.loss_mask: 0.5467, decode.d2.loss_dice: 0.8182, decode.d3.loss_cls: 0.3511, decode.d3.loss_mask: 0.5430, decode.d3.loss_dice: 0.8061, decode.d4.loss_cls: 0.3464, decode.d4.loss_mask: 0.5448, decode.d4.loss_dice: 0.8049, decode.d5.loss_cls: 0.3388, decode.d5.loss_mask: 0.5431, decode.d5.loss_dice: 0.7986, decode.d6.loss_cls: 0.3365, decode.d6.loss_mask: 0.5414, decode.d6.loss_dice: 0.7951, decode.d7.loss_cls: 0.3371, decode.d7.loss_mask: 0.5401, decode.d7.loss_dice: 0.7994, decode.d8.loss_cls: 0.3302, decode.d8.loss_mask: 0.5405, decode.d8.loss_dice: 0.8011, loss: 18.3049, grad_norm: 72.0925 2023-11-22 07:13:27,578 - mmseg - INFO - Iter [61100/160000] lr: 5.888e-06, eta: 16:07:57, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3516, decode.loss_mask: 0.5193, decode.loss_dice: 0.7995, decode.d0.loss_cls: 1.5157, decode.d0.loss_mask: 0.5601, decode.d0.loss_dice: 0.9197, decode.d1.loss_cls: 0.4479, decode.d1.loss_mask: 0.5406, decode.d1.loss_dice: 0.8533, decode.d2.loss_cls: 0.3827, decode.d2.loss_mask: 0.5301, decode.d2.loss_dice: 0.8315, decode.d3.loss_cls: 0.3650, decode.d3.loss_mask: 0.5205, decode.d3.loss_dice: 0.8108, decode.d4.loss_cls: 0.3543, decode.d4.loss_mask: 0.5212, decode.d4.loss_dice: 0.8118, decode.d5.loss_cls: 0.3521, decode.d5.loss_mask: 0.5196, decode.d5.loss_dice: 0.8146, decode.d6.loss_cls: 0.3530, decode.d6.loss_mask: 0.5192, decode.d6.loss_dice: 0.8012, decode.d7.loss_cls: 0.3501, decode.d7.loss_mask: 0.5215, decode.d7.loss_dice: 0.8015, decode.d8.loss_cls: 0.3492, decode.d8.loss_mask: 0.5204, decode.d8.loss_dice: 0.8020, loss: 18.3399, grad_norm: 66.2196 2023-11-22 07:13:55,982 - mmseg - INFO - Iter [61150/160000] lr: 5.885e-06, eta: 16:07:26, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3560, decode.loss_mask: 0.5500, decode.loss_dice: 0.8051, decode.d0.loss_cls: 1.4987, decode.d0.loss_mask: 0.5851, decode.d0.loss_dice: 0.9300, decode.d1.loss_cls: 0.4508, decode.d1.loss_mask: 0.5731, decode.d1.loss_dice: 0.8666, decode.d2.loss_cls: 0.3931, decode.d2.loss_mask: 0.5615, decode.d2.loss_dice: 0.8347, decode.d3.loss_cls: 0.3658, decode.d3.loss_mask: 0.5563, decode.d3.loss_dice: 0.8179, decode.d4.loss_cls: 0.3605, decode.d4.loss_mask: 0.5548, decode.d4.loss_dice: 0.8177, decode.d5.loss_cls: 0.3497, decode.d5.loss_mask: 0.5552, decode.d5.loss_dice: 0.8181, decode.d6.loss_cls: 0.3509, decode.d6.loss_mask: 0.5544, decode.d6.loss_dice: 0.8105, decode.d7.loss_cls: 0.3442, decode.d7.loss_mask: 0.5576, decode.d7.loss_dice: 0.8144, decode.d8.loss_cls: 0.3479, decode.d8.loss_mask: 0.5558, decode.d8.loss_dice: 0.8133, loss: 18.7499, grad_norm: 69.0462 2023-11-22 07:14:24,365 - mmseg - INFO - Iter [61200/160000] lr: 5.882e-06, eta: 16:06:55, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3353, decode.loss_mask: 0.5536, decode.loss_dice: 0.8090, decode.d0.loss_cls: 1.4499, decode.d0.loss_mask: 0.5902, decode.d0.loss_dice: 0.9149, decode.d1.loss_cls: 0.4254, decode.d1.loss_mask: 0.5780, decode.d1.loss_dice: 0.8595, decode.d2.loss_cls: 0.3726, decode.d2.loss_mask: 0.5650, decode.d2.loss_dice: 0.8306, decode.d3.loss_cls: 0.3529, decode.d3.loss_mask: 0.5557, decode.d3.loss_dice: 0.8171, decode.d4.loss_cls: 0.3421, decode.d4.loss_mask: 0.5565, decode.d4.loss_dice: 0.8171, decode.d5.loss_cls: 0.3383, decode.d5.loss_mask: 0.5574, decode.d5.loss_dice: 0.8148, decode.d6.loss_cls: 0.3433, decode.d6.loss_mask: 0.5530, decode.d6.loss_dice: 0.8085, decode.d7.loss_cls: 0.3381, decode.d7.loss_mask: 0.5525, decode.d7.loss_dice: 0.8104, decode.d8.loss_cls: 0.3351, decode.d8.loss_mask: 0.5537, decode.d8.loss_dice: 0.8105, loss: 18.5408, grad_norm: 72.3319 2023-11-22 07:14:52,640 - mmseg - INFO - Iter [61250/160000] lr: 5.879e-06, eta: 16:06:24, time: 0.566, data_time: 0.015, memory: 38143, decode.loss_cls: 0.3512, decode.loss_mask: 0.5324, decode.loss_dice: 0.8039, decode.d0.loss_cls: 1.4959, decode.d0.loss_mask: 0.5663, decode.d0.loss_dice: 0.9187, decode.d1.loss_cls: 0.4428, decode.d1.loss_mask: 0.5555, decode.d1.loss_dice: 0.8546, decode.d2.loss_cls: 0.3824, decode.d2.loss_mask: 0.5442, decode.d2.loss_dice: 0.8312, decode.d3.loss_cls: 0.3680, decode.d3.loss_mask: 0.5343, decode.d3.loss_dice: 0.8152, decode.d4.loss_cls: 0.3606, decode.d4.loss_mask: 0.5351, decode.d4.loss_dice: 0.8154, decode.d5.loss_cls: 0.3495, decode.d5.loss_mask: 0.5362, decode.d5.loss_dice: 0.8193, decode.d6.loss_cls: 0.3486, decode.d6.loss_mask: 0.5336, decode.d6.loss_dice: 0.8080, decode.d7.loss_cls: 0.3484, decode.d7.loss_mask: 0.5311, decode.d7.loss_dice: 0.8070, decode.d8.loss_cls: 0.3469, decode.d8.loss_mask: 0.5324, decode.d8.loss_dice: 0.8089, loss: 18.4777, grad_norm: 67.0924 2023-11-22 07:15:21,099 - mmseg - INFO - Iter [61300/160000] lr: 5.876e-06, eta: 16:05:53, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3316, decode.loss_mask: 0.5326, decode.loss_dice: 0.7987, decode.d0.loss_cls: 1.4913, decode.d0.loss_mask: 0.5770, decode.d0.loss_dice: 0.9193, decode.d1.loss_cls: 0.4260, decode.d1.loss_mask: 0.5618, decode.d1.loss_dice: 0.8589, decode.d2.loss_cls: 0.3717, decode.d2.loss_mask: 0.5527, decode.d2.loss_dice: 0.8292, decode.d3.loss_cls: 0.3510, decode.d3.loss_mask: 0.5450, decode.d3.loss_dice: 0.8010, decode.d4.loss_cls: 0.3404, decode.d4.loss_mask: 0.5436, decode.d4.loss_dice: 0.8064, decode.d5.loss_cls: 0.3360, decode.d5.loss_mask: 0.5410, decode.d5.loss_dice: 0.8055, decode.d6.loss_cls: 0.3332, decode.d6.loss_mask: 0.5389, decode.d6.loss_dice: 0.7972, decode.d7.loss_cls: 0.3302, decode.d7.loss_mask: 0.5376, decode.d7.loss_dice: 0.7979, decode.d8.loss_cls: 0.3299, decode.d8.loss_mask: 0.5365, decode.d8.loss_dice: 0.7956, loss: 18.3178, grad_norm: 72.6558 2023-11-22 07:15:49,422 - mmseg - INFO - Iter [61350/160000] lr: 5.873e-06, eta: 16:05:22, time: 0.566, data_time: 0.015, memory: 38143, decode.loss_cls: 0.3313, decode.loss_mask: 0.5490, decode.loss_dice: 0.8115, decode.d0.loss_cls: 1.4605, decode.d0.loss_mask: 0.5885, decode.d0.loss_dice: 0.9221, decode.d1.loss_cls: 0.4191, decode.d1.loss_mask: 0.5760, decode.d1.loss_dice: 0.8595, decode.d2.loss_cls: 0.3701, decode.d2.loss_mask: 0.5658, decode.d2.loss_dice: 0.8425, decode.d3.loss_cls: 0.3455, decode.d3.loss_mask: 0.5568, decode.d3.loss_dice: 0.8197, decode.d4.loss_cls: 0.3412, decode.d4.loss_mask: 0.5549, decode.d4.loss_dice: 0.8195, decode.d5.loss_cls: 0.3376, decode.d5.loss_mask: 0.5555, decode.d5.loss_dice: 0.8206, decode.d6.loss_cls: 0.3385, decode.d6.loss_mask: 0.5511, decode.d6.loss_dice: 0.8075, decode.d7.loss_cls: 0.3377, decode.d7.loss_mask: 0.5526, decode.d7.loss_dice: 0.8119, decode.d8.loss_cls: 0.3322, decode.d8.loss_mask: 0.5526, decode.d8.loss_dice: 0.8136, loss: 18.5451, grad_norm: 72.5360 2023-11-22 07:16:17,749 - mmseg - INFO - Iter [61400/160000] lr: 5.870e-06, eta: 16:04:51, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3340, decode.loss_mask: 0.5463, decode.loss_dice: 0.8061, decode.d0.loss_cls: 1.4833, decode.d0.loss_mask: 0.5766, decode.d0.loss_dice: 0.9089, decode.d1.loss_cls: 0.4308, decode.d1.loss_mask: 0.5719, decode.d1.loss_dice: 0.8376, decode.d2.loss_cls: 0.3689, decode.d2.loss_mask: 0.5610, decode.d2.loss_dice: 0.8263, decode.d3.loss_cls: 0.3547, decode.d3.loss_mask: 0.5498, decode.d3.loss_dice: 0.8128, decode.d4.loss_cls: 0.3466, decode.d4.loss_mask: 0.5458, decode.d4.loss_dice: 0.8114, decode.d5.loss_cls: 0.3400, decode.d5.loss_mask: 0.5480, decode.d5.loss_dice: 0.8127, decode.d6.loss_cls: 0.3388, decode.d6.loss_mask: 0.5450, decode.d6.loss_dice: 0.8049, decode.d7.loss_cls: 0.3346, decode.d7.loss_mask: 0.5444, decode.d7.loss_dice: 0.8036, decode.d8.loss_cls: 0.3319, decode.d8.loss_mask: 0.5477, decode.d8.loss_dice: 0.8073, loss: 18.4316, grad_norm: 68.4859 2023-11-22 07:16:45,923 - mmseg - INFO - Iter [61450/160000] lr: 5.867e-06, eta: 16:04:20, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3363, decode.loss_mask: 0.5324, decode.loss_dice: 0.7981, decode.d0.loss_cls: 1.4660, decode.d0.loss_mask: 0.5742, decode.d0.loss_dice: 0.9084, decode.d1.loss_cls: 0.4281, decode.d1.loss_mask: 0.5549, decode.d1.loss_dice: 0.8490, decode.d2.loss_cls: 0.3766, decode.d2.loss_mask: 0.5427, decode.d2.loss_dice: 0.8272, decode.d3.loss_cls: 0.3561, decode.d3.loss_mask: 0.5384, decode.d3.loss_dice: 0.8075, decode.d4.loss_cls: 0.3524, decode.d4.loss_mask: 0.5347, decode.d4.loss_dice: 0.8079, decode.d5.loss_cls: 0.3437, decode.d5.loss_mask: 0.5359, decode.d5.loss_dice: 0.8096, decode.d6.loss_cls: 0.3349, decode.d6.loss_mask: 0.5359, decode.d6.loss_dice: 0.8072, decode.d7.loss_cls: 0.3349, decode.d7.loss_mask: 0.5321, decode.d7.loss_dice: 0.7996, decode.d8.loss_cls: 0.3329, decode.d8.loss_mask: 0.5302, decode.d8.loss_dice: 0.7973, loss: 18.2854, grad_norm: 71.1559 2023-11-22 07:17:14,272 - mmseg - INFO - Iter [61500/160000] lr: 5.864e-06, eta: 16:03:49, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3336, decode.loss_mask: 0.5417, decode.loss_dice: 0.8046, decode.d0.loss_cls: 1.4775, decode.d0.loss_mask: 0.5783, decode.d0.loss_dice: 0.8993, decode.d1.loss_cls: 0.4199, decode.d1.loss_mask: 0.5670, decode.d1.loss_dice: 0.8599, decode.d2.loss_cls: 0.3599, decode.d2.loss_mask: 0.5547, decode.d2.loss_dice: 0.8318, decode.d3.loss_cls: 0.3495, decode.d3.loss_mask: 0.5481, decode.d3.loss_dice: 0.8130, decode.d4.loss_cls: 0.3406, decode.d4.loss_mask: 0.5460, decode.d4.loss_dice: 0.8099, decode.d5.loss_cls: 0.3420, decode.d5.loss_mask: 0.5444, decode.d5.loss_dice: 0.8088, decode.d6.loss_cls: 0.3402, decode.d6.loss_mask: 0.5412, decode.d6.loss_dice: 0.8025, decode.d7.loss_cls: 0.3398, decode.d7.loss_mask: 0.5430, decode.d7.loss_dice: 0.8037, decode.d8.loss_cls: 0.3386, decode.d8.loss_mask: 0.5418, decode.d8.loss_dice: 0.8024, loss: 18.3837, grad_norm: 74.4328 2023-11-22 07:17:42,539 - mmseg - INFO - Iter [61550/160000] lr: 5.861e-06, eta: 16:03:18, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3423, decode.loss_mask: 0.5599, decode.loss_dice: 0.8287, decode.d0.loss_cls: 1.5022, decode.d0.loss_mask: 0.5966, decode.d0.loss_dice: 0.9382, decode.d1.loss_cls: 0.4440, decode.d1.loss_mask: 0.5810, decode.d1.loss_dice: 0.8861, decode.d2.loss_cls: 0.3898, decode.d2.loss_mask: 0.5664, decode.d2.loss_dice: 0.8559, decode.d3.loss_cls: 0.3637, decode.d3.loss_mask: 0.5649, decode.d3.loss_dice: 0.8379, decode.d4.loss_cls: 0.3548, decode.d4.loss_mask: 0.5645, decode.d4.loss_dice: 0.8375, decode.d5.loss_cls: 0.3471, decode.d5.loss_mask: 0.5604, decode.d5.loss_dice: 0.8356, decode.d6.loss_cls: 0.3437, decode.d6.loss_mask: 0.5585, decode.d6.loss_dice: 0.8295, decode.d7.loss_cls: 0.3429, decode.d7.loss_mask: 0.5605, decode.d7.loss_dice: 0.8295, decode.d8.loss_cls: 0.3411, decode.d8.loss_mask: 0.5596, decode.d8.loss_dice: 0.8327, loss: 18.9558, grad_norm: 73.3519 2023-11-22 07:18:10,827 - mmseg - INFO - Iter [61600/160000] lr: 5.858e-06, eta: 16:02:47, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3093, decode.loss_mask: 0.5637, decode.loss_dice: 0.8038, decode.d0.loss_cls: 1.4330, decode.d0.loss_mask: 0.6060, decode.d0.loss_dice: 0.9109, decode.d1.loss_cls: 0.4157, decode.d1.loss_mask: 0.5858, decode.d1.loss_dice: 0.8545, decode.d2.loss_cls: 0.3579, decode.d2.loss_mask: 0.5795, decode.d2.loss_dice: 0.8292, decode.d3.loss_cls: 0.3297, decode.d3.loss_mask: 0.5733, decode.d3.loss_dice: 0.8078, decode.d4.loss_cls: 0.3279, decode.d4.loss_mask: 0.5698, decode.d4.loss_dice: 0.8054, decode.d5.loss_cls: 0.3228, decode.d5.loss_mask: 0.5701, decode.d5.loss_dice: 0.8055, decode.d6.loss_cls: 0.3170, decode.d6.loss_mask: 0.5659, decode.d6.loss_dice: 0.7980, decode.d7.loss_cls: 0.3132, decode.d7.loss_mask: 0.5675, decode.d7.loss_dice: 0.8018, decode.d8.loss_cls: 0.3143, decode.d8.loss_mask: 0.5656, decode.d8.loss_dice: 0.8009, loss: 18.4056, grad_norm: 73.4425 2023-11-22 07:18:39,210 - mmseg - INFO - Iter [61650/160000] lr: 5.855e-06, eta: 16:02:16, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3299, decode.loss_mask: 0.5400, decode.loss_dice: 0.7996, decode.d0.loss_cls: 1.5132, decode.d0.loss_mask: 0.5790, decode.d0.loss_dice: 0.9121, decode.d1.loss_cls: 0.4370, decode.d1.loss_mask: 0.5695, decode.d1.loss_dice: 0.8520, decode.d2.loss_cls: 0.3711, decode.d2.loss_mask: 0.5521, decode.d2.loss_dice: 0.8271, decode.d3.loss_cls: 0.3557, decode.d3.loss_mask: 0.5443, decode.d3.loss_dice: 0.8108, decode.d4.loss_cls: 0.3456, decode.d4.loss_mask: 0.5479, decode.d4.loss_dice: 0.8097, decode.d5.loss_cls: 0.3363, decode.d5.loss_mask: 0.5477, decode.d5.loss_dice: 0.8094, decode.d6.loss_cls: 0.3315, decode.d6.loss_mask: 0.5473, decode.d6.loss_dice: 0.8000, decode.d7.loss_cls: 0.3320, decode.d7.loss_mask: 0.5437, decode.d7.loss_dice: 0.8004, decode.d8.loss_cls: 0.3276, decode.d8.loss_mask: 0.5430, decode.d8.loss_dice: 0.8042, loss: 18.4199, grad_norm: 75.3102 2023-11-22 07:19:07,741 - mmseg - INFO - Iter [61700/160000] lr: 5.852e-06, eta: 16:01:45, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3598, decode.loss_mask: 0.5437, decode.loss_dice: 0.8242, decode.d0.loss_cls: 1.4882, decode.d0.loss_mask: 0.5907, decode.d0.loss_dice: 0.9425, decode.d1.loss_cls: 0.4537, decode.d1.loss_mask: 0.5684, decode.d1.loss_dice: 0.8764, decode.d2.loss_cls: 0.3969, decode.d2.loss_mask: 0.5557, decode.d2.loss_dice: 0.8509, decode.d3.loss_cls: 0.3805, decode.d3.loss_mask: 0.5493, decode.d3.loss_dice: 0.8269, decode.d4.loss_cls: 0.3687, decode.d4.loss_mask: 0.5484, decode.d4.loss_dice: 0.8315, decode.d5.loss_cls: 0.3637, decode.d5.loss_mask: 0.5489, decode.d5.loss_dice: 0.8290, decode.d6.loss_cls: 0.3664, decode.d6.loss_mask: 0.5476, decode.d6.loss_dice: 0.8197, decode.d7.loss_cls: 0.3582, decode.d7.loss_mask: 0.5478, decode.d7.loss_dice: 0.8270, decode.d8.loss_cls: 0.3580, decode.d8.loss_mask: 0.5429, decode.d8.loss_dice: 0.8266, loss: 18.8921, grad_norm: 77.1755 2023-11-22 07:19:36,200 - mmseg - INFO - Iter [61750/160000] lr: 5.849e-06, eta: 16:01:14, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3609, decode.loss_mask: 0.5525, decode.loss_dice: 0.8118, decode.d0.loss_cls: 1.4563, decode.d0.loss_mask: 0.5953, decode.d0.loss_dice: 0.9351, decode.d1.loss_cls: 0.4485, decode.d1.loss_mask: 0.5761, decode.d1.loss_dice: 0.8708, decode.d2.loss_cls: 0.3984, decode.d2.loss_mask: 0.5634, decode.d2.loss_dice: 0.8430, decode.d3.loss_cls: 0.3717, decode.d3.loss_mask: 0.5602, decode.d3.loss_dice: 0.8229, decode.d4.loss_cls: 0.3731, decode.d4.loss_mask: 0.5576, decode.d4.loss_dice: 0.8255, decode.d5.loss_cls: 0.3673, decode.d5.loss_mask: 0.5539, decode.d5.loss_dice: 0.8196, decode.d6.loss_cls: 0.3626, decode.d6.loss_mask: 0.5539, decode.d6.loss_dice: 0.8165, decode.d7.loss_cls: 0.3596, decode.d7.loss_mask: 0.5547, decode.d7.loss_dice: 0.8134, decode.d8.loss_cls: 0.3610, decode.d8.loss_mask: 0.5536, decode.d8.loss_dice: 0.8115, loss: 18.8506, grad_norm: 77.7331 2023-11-22 07:20:04,901 - mmseg - INFO - Iter [61800/160000] lr: 5.846e-06, eta: 16:00:44, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3369, decode.loss_mask: 0.5482, decode.loss_dice: 0.7923, decode.d0.loss_cls: 1.4700, decode.d0.loss_mask: 0.5908, decode.d0.loss_dice: 0.9086, decode.d1.loss_cls: 0.4244, decode.d1.loss_mask: 0.5783, decode.d1.loss_dice: 0.8463, decode.d2.loss_cls: 0.3764, decode.d2.loss_mask: 0.5625, decode.d2.loss_dice: 0.8228, decode.d3.loss_cls: 0.3533, decode.d3.loss_mask: 0.5531, decode.d3.loss_dice: 0.8054, decode.d4.loss_cls: 0.3463, decode.d4.loss_mask: 0.5536, decode.d4.loss_dice: 0.8049, decode.d5.loss_cls: 0.3409, decode.d5.loss_mask: 0.5504, decode.d5.loss_dice: 0.7994, decode.d6.loss_cls: 0.3364, decode.d6.loss_mask: 0.5479, decode.d6.loss_dice: 0.7921, decode.d7.loss_cls: 0.3346, decode.d7.loss_mask: 0.5482, decode.d7.loss_dice: 0.7974, decode.d8.loss_cls: 0.3400, decode.d8.loss_mask: 0.5502, decode.d8.loss_dice: 0.7934, loss: 18.4051, grad_norm: 76.7988 2023-11-22 07:20:33,091 - mmseg - INFO - Iter [61850/160000] lr: 5.843e-06, eta: 16:00:13, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3419, decode.loss_mask: 0.5642, decode.loss_dice: 0.8048, decode.d0.loss_cls: 1.4434, decode.d0.loss_mask: 0.6016, decode.d0.loss_dice: 0.9177, decode.d1.loss_cls: 0.4297, decode.d1.loss_mask: 0.5897, decode.d1.loss_dice: 0.8709, decode.d2.loss_cls: 0.3787, decode.d2.loss_mask: 0.5778, decode.d2.loss_dice: 0.8388, decode.d3.loss_cls: 0.3556, decode.d3.loss_mask: 0.5735, decode.d3.loss_dice: 0.8197, decode.d4.loss_cls: 0.3489, decode.d4.loss_mask: 0.5722, decode.d4.loss_dice: 0.8169, decode.d5.loss_cls: 0.3436, decode.d5.loss_mask: 0.5686, decode.d5.loss_dice: 0.8135, decode.d6.loss_cls: 0.3444, decode.d6.loss_mask: 0.5668, decode.d6.loss_dice: 0.8090, decode.d7.loss_cls: 0.3414, decode.d7.loss_mask: 0.5681, decode.d7.loss_dice: 0.8101, decode.d8.loss_cls: 0.3427, decode.d8.loss_mask: 0.5680, decode.d8.loss_dice: 0.8128, loss: 18.7349, grad_norm: 74.9887 2023-11-22 07:21:03,842 - mmseg - INFO - Iter [61900/160000] lr: 5.840e-06, eta: 15:59:46, time: 0.615, data_time: 0.060, memory: 38143, decode.loss_cls: 0.3362, decode.loss_mask: 0.5648, decode.loss_dice: 0.8240, decode.d0.loss_cls: 1.5004, decode.d0.loss_mask: 0.6059, decode.d0.loss_dice: 0.9367, decode.d1.loss_cls: 0.4316, decode.d1.loss_mask: 0.5897, decode.d1.loss_dice: 0.8818, decode.d2.loss_cls: 0.3759, decode.d2.loss_mask: 0.5751, decode.d2.loss_dice: 0.8522, decode.d3.loss_cls: 0.3545, decode.d3.loss_mask: 0.5698, decode.d3.loss_dice: 0.8346, decode.d4.loss_cls: 0.3439, decode.d4.loss_mask: 0.5691, decode.d4.loss_dice: 0.8289, decode.d5.loss_cls: 0.3411, decode.d5.loss_mask: 0.5695, decode.d5.loss_dice: 0.8292, decode.d6.loss_cls: 0.3431, decode.d6.loss_mask: 0.5640, decode.d6.loss_dice: 0.8299, decode.d7.loss_cls: 0.3375, decode.d7.loss_mask: 0.5641, decode.d7.loss_dice: 0.8258, decode.d8.loss_cls: 0.3351, decode.d8.loss_mask: 0.5644, decode.d8.loss_dice: 0.8296, loss: 18.9083, grad_norm: 73.1940 2023-11-22 07:21:32,130 - mmseg - INFO - Iter [61950/160000] lr: 5.837e-06, eta: 15:59:15, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3315, decode.loss_mask: 0.5597, decode.loss_dice: 0.8201, decode.d0.loss_cls: 1.4521, decode.d0.loss_mask: 0.5974, decode.d0.loss_dice: 0.9219, decode.d1.loss_cls: 0.4224, decode.d1.loss_mask: 0.5845, decode.d1.loss_dice: 0.8739, decode.d2.loss_cls: 0.3669, decode.d2.loss_mask: 0.5735, decode.d2.loss_dice: 0.8489, decode.d3.loss_cls: 0.3492, decode.d3.loss_mask: 0.5668, decode.d3.loss_dice: 0.8312, decode.d4.loss_cls: 0.3431, decode.d4.loss_mask: 0.5624, decode.d4.loss_dice: 0.8265, decode.d5.loss_cls: 0.3368, decode.d5.loss_mask: 0.5604, decode.d5.loss_dice: 0.8278, decode.d6.loss_cls: 0.3374, decode.d6.loss_mask: 0.5600, decode.d6.loss_dice: 0.8233, decode.d7.loss_cls: 0.3265, decode.d7.loss_mask: 0.5602, decode.d7.loss_dice: 0.8264, decode.d8.loss_cls: 0.3322, decode.d8.loss_mask: 0.5597, decode.d8.loss_dice: 0.8225, loss: 18.7053, grad_norm: 71.0828 2023-11-22 07:22:00,678 - mmseg - INFO - Saving checkpoint at 62000 iterations 2023-11-22 07:22:08,494 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 07:22:08,495 - mmseg - INFO - Iter [62000/160000] lr: 5.834e-06, eta: 15:58:56, time: 0.727, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3153, decode.loss_mask: 0.5364, decode.loss_dice: 0.8015, decode.d0.loss_cls: 1.4362, decode.d0.loss_mask: 0.5705, decode.d0.loss_dice: 0.9000, decode.d1.loss_cls: 0.4033, decode.d1.loss_mask: 0.5632, decode.d1.loss_dice: 0.8534, decode.d2.loss_cls: 0.3615, decode.d2.loss_mask: 0.5456, decode.d2.loss_dice: 0.8237, decode.d3.loss_cls: 0.3343, decode.d3.loss_mask: 0.5421, decode.d3.loss_dice: 0.8084, decode.d4.loss_cls: 0.3322, decode.d4.loss_mask: 0.5404, decode.d4.loss_dice: 0.8052, decode.d5.loss_cls: 0.3229, decode.d5.loss_mask: 0.5363, decode.d5.loss_dice: 0.8048, decode.d6.loss_cls: 0.3231, decode.d6.loss_mask: 0.5362, decode.d6.loss_dice: 0.8022, decode.d7.loss_cls: 0.3146, decode.d7.loss_mask: 0.5380, decode.d7.loss_dice: 0.8034, decode.d8.loss_cls: 0.3129, decode.d8.loss_mask: 0.5389, decode.d8.loss_dice: 0.8018, loss: 18.1082, grad_norm: 75.7810 2023-11-22 07:22:28,320 - mmseg - INFO - per class results: 2023-11-22 07:22:28,325 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.84 | 88.36 | | building | 82.95 | 90.37 | | sky | 95.02 | 97.68 | | floor | 84.38 | 90.78 | | tree | 77.03 | 87.94 | | ceiling | 85.79 | 92.59 | | road | 86.84 | 92.67 | | bed | 91.19 | 95.55 | | windowpane | 65.16 | 80.88 | | grass | 66.7 | 78.16 | | cabinet | 62.87 | 77.57 | | sidewalk | 67.63 | 77.74 | | person | 86.13 | 92.67 | | earth | 40.15 | 58.55 | | door | 54.35 | 68.36 | | table | 71.6 | 84.82 | | mountain | 62.11 | 74.6 | | plant | 51.86 | 68.79 | | curtain | 77.08 | 90.15 | | chair | 66.07 | 78.56 | | car | 87.41 | 95.04 | | water | 47.95 | 62.76 | | painting | 76.8 | 90.53 | | sofa | 75.28 | 89.7 | | shelf | 46.26 | 61.15 | | house | 37.57 | 67.48 | | sea | 50.22 | 76.93 | | mirror | 74.73 | 82.0 | | rug | 67.37 | 81.39 | | field | 30.23 | 42.68 | | armchair | 48.34 | 64.6 | | seat | 64.49 | 85.88 | | fence | 49.79 | 66.53 | | desk | 58.07 | 74.64 | | rock | 53.21 | 76.1 | | wardrobe | 50.48 | 75.48 | | lamp | 73.55 | 82.22 | | bathtub | 74.19 | 86.14 | | railing | 39.68 | 58.3 | | cushion | 65.87 | 76.94 | | base | 35.39 | 60.64 | | box | 31.36 | 41.7 | | column | 55.82 | 71.02 | | signboard | 41.8 | 62.06 | | chest of drawers | 40.89 | 61.34 | | counter | 47.35 | 61.85 | | sand | 39.21 | 53.57 | | sink | 78.62 | 86.05 | | skyscraper | 46.96 | 59.91 | | fireplace | 78.89 | 90.58 | | refrigerator | 79.59 | 91.39 | | grandstand | 46.43 | 79.36 | | path | 20.16 | 37.59 | | stairs | 41.06 | 47.24 | | runway | 76.33 | 97.38 | | case | 59.67 | 87.84 | | pool table | 93.89 | 97.33 | | pillow | 60.75 | 72.14 | | screen door | 67.93 | 88.05 | | stairway | 39.41 | 48.32 | | river | 14.53 | 20.17 | | bridge | 70.49 | 88.74 | | bookcase | 33.32 | 44.9 | | blind | 42.07 | 47.84 | | coffee table | 72.26 | 85.36 | | toilet | 88.36 | 91.41 | | flower | 42.28 | 62.71 | | book | 53.78 | 80.85 | | hill | 7.35 | 14.21 | | bench | 65.31 | 73.59 | | countertop | 68.92 | 80.3 | | stove | 84.66 | 88.34 | | palm | 54.63 | 86.44 | | kitchen island | 58.43 | 88.97 | | computer | 78.24 | 89.14 | | swivel chair | 54.49 | 82.04 | | boat | 74.89 | 92.11 | | bar | 66.68 | 73.95 | | arcade machine | 85.68 | 91.04 | | hovel | 63.61 | 75.71 | | bus | 93.64 | 96.2 | | towel | 79.66 | 90.25 | | light | 64.09 | 81.11 | | truck | 47.07 | 54.06 | | tower | 46.06 | 81.6 | | chandelier | 73.35 | 87.41 | | awning | 46.71 | 61.3 | | streetlight | 47.96 | 63.82 | | booth | 34.82 | 43.06 | | television receiver | 79.67 | 90.07 | | airplane | 66.23 | 70.68 | | dirt track | 14.34 | 42.51 | | apparel | 48.66 | 70.81 | | pole | 36.36 | 55.38 | | land | 5.55 | 6.07 | | bannister | 23.25 | 29.05 | | escalator | 23.43 | 25.86 | | ottoman | 58.63 | 74.8 | | bottle | 30.18 | 64.13 | | buffet | 35.85 | 43.03 | | poster | 26.63 | 40.18 | | stage | 20.18 | 31.39 | | van | 43.7 | 64.76 | | ship | 6.79 | 15.22 | | fountain | 21.38 | 21.88 | | conveyer belt | 64.87 | 95.47 | | canopy | 13.3 | 24.88 | | washer | 71.05 | 73.17 | | plaything | 46.25 | 72.0 | | swimming pool | 50.49 | 71.41 | | stool | 54.52 | 77.19 | | barrel | 36.59 | 97.76 | | basket | 46.68 | 61.82 | | waterfall | 65.14 | 94.84 | | tent | 95.29 | 98.26 | | bag | 26.22 | 40.33 | | minibike | 70.38 | 90.91 | | cradle | 80.7 | 97.78 | | oven | 70.89 | 82.77 | | ball | 37.71 | 39.64 | | food | 63.18 | 70.72 | | step | 25.37 | 44.53 | | tank | 43.81 | 64.74 | | trade name | 24.35 | 30.73 | | microwave | 77.26 | 84.56 | | pot | 57.04 | 71.56 | | animal | 61.84 | 62.83 | | bicycle | 57.83 | 84.03 | | lake | 0.03 | 0.04 | | dishwasher | 81.62 | 88.27 | | screen | 49.24 | 72.74 | | blanket | 41.14 | 52.89 | | sculpture | 60.24 | 89.55 | | hood | 65.04 | 77.85 | | sconce | 62.6 | 73.75 | | vase | 54.37 | 75.47 | | traffic light | 43.92 | 71.4 | | tray | 21.48 | 32.1 | | ashcan | 46.34 | 73.89 | | fan | 71.73 | 85.34 | | pier | 38.8 | 44.29 | | crt screen | 3.57 | 12.96 | | plate | 63.33 | 81.34 | | monitor | 1.69 | 1.82 | | bulletin board | 42.21 | 72.91 | | shower | 17.51 | 26.38 | | radiator | 70.01 | 86.36 | | glass | 24.99 | 28.85 | | clock | 55.06 | 65.95 | | flag | 49.39 | 57.68 | +---------------------+-------+-------+ 2023-11-22 07:22:28,325 - mmseg - INFO - Summary: 2023-11-22 07:22:28,326 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.73 | 54.45 | 68.83 | +-------+-------+-------+ 2023-11-22 07:22:28,326 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 07:22:28,327 - mmseg - INFO - Iter(val) [250] aAcc: 0.8473, mIoU: 0.5445, mAcc: 0.6883, IoU.wall: 0.8084, IoU.building: 0.8295, IoU.sky: 0.9502, IoU.floor: 0.8438, IoU.tree: 0.7703, IoU.ceiling: 0.8579, IoU.road: 0.8684, IoU.bed : 0.9119, IoU.windowpane: 0.6516, IoU.grass: 0.6670, IoU.cabinet: 0.6287, IoU.sidewalk: 0.6763, IoU.person: 0.8613, IoU.earth: 0.4015, IoU.door: 0.5435, IoU.table: 0.7160, IoU.mountain: 0.6211, IoU.plant: 0.5186, IoU.curtain: 0.7708, IoU.chair: 0.6607, IoU.car: 0.8741, IoU.water: 0.4795, IoU.painting: 0.7680, IoU.sofa: 0.7528, IoU.shelf: 0.4626, IoU.house: 0.3757, IoU.sea: 0.5022, IoU.mirror: 0.7473, IoU.rug: 0.6737, IoU.field: 0.3023, IoU.armchair: 0.4834, IoU.seat: 0.6449, IoU.fence: 0.4979, IoU.desk: 0.5807, IoU.rock: 0.5321, IoU.wardrobe: 0.5048, IoU.lamp: 0.7355, IoU.bathtub: 0.7419, IoU.railing: 0.3968, IoU.cushion: 0.6587, IoU.base: 0.3539, IoU.box: 0.3136, IoU.column: 0.5582, IoU.signboard: 0.4180, IoU.chest of drawers: 0.4089, IoU.counter: 0.4735, IoU.sand: 0.3921, IoU.sink: 0.7862, IoU.skyscraper: 0.4696, IoU.fireplace: 0.7889, IoU.refrigerator: 0.7959, IoU.grandstand: 0.4643, IoU.path: 0.2016, IoU.stairs: 0.4106, IoU.runway: 0.7633, IoU.case: 0.5967, IoU.pool table: 0.9389, IoU.pillow: 0.6075, IoU.screen door: 0.6793, IoU.stairway: 0.3941, IoU.river: 0.1453, IoU.bridge: 0.7049, IoU.bookcase: 0.3332, IoU.blind: 0.4207, IoU.coffee table: 0.7226, IoU.toilet: 0.8836, IoU.flower: 0.4228, IoU.book: 0.5378, IoU.hill: 0.0735, IoU.bench: 0.6531, IoU.countertop: 0.6892, IoU.stove: 0.8466, IoU.palm: 0.5463, IoU.kitchen island: 0.5843, IoU.computer: 0.7824, IoU.swivel chair: 0.5449, IoU.boat: 0.7489, IoU.bar: 0.6668, IoU.arcade machine: 0.8568, IoU.hovel: 0.6361, IoU.bus: 0.9364, IoU.towel: 0.7966, IoU.light: 0.6409, IoU.truck: 0.4707, IoU.tower: 0.4606, IoU.chandelier: 0.7335, IoU.awning: 0.4671, IoU.streetlight: 0.4796, IoU.booth: 0.3482, IoU.television receiver: 0.7967, IoU.airplane: 0.6623, IoU.dirt track: 0.1434, IoU.apparel: 0.4866, IoU.pole: 0.3636, IoU.land: 0.0555, IoU.bannister: 0.2325, IoU.escalator: 0.2343, IoU.ottoman: 0.5863, IoU.bottle: 0.3018, IoU.buffet: 0.3585, IoU.poster: 0.2663, IoU.stage: 0.2018, IoU.van: 0.4370, IoU.ship: 0.0679, IoU.fountain: 0.2138, IoU.conveyer belt: 0.6487, IoU.canopy: 0.1330, IoU.washer: 0.7105, IoU.plaything: 0.4625, IoU.swimming pool: 0.5049, IoU.stool: 0.5452, IoU.barrel: 0.3659, IoU.basket: 0.4668, IoU.waterfall: 0.6514, IoU.tent: 0.9529, IoU.bag: 0.2622, IoU.minibike: 0.7038, IoU.cradle: 0.8070, IoU.oven: 0.7089, IoU.ball: 0.3771, IoU.food: 0.6318, IoU.step: 0.2537, IoU.tank: 0.4381, IoU.trade name: 0.2435, IoU.microwave: 0.7726, IoU.pot: 0.5704, IoU.animal: 0.6184, IoU.bicycle: 0.5783, IoU.lake: 0.0003, IoU.dishwasher: 0.8162, IoU.screen: 0.4924, IoU.blanket: 0.4114, IoU.sculpture: 0.6024, IoU.hood: 0.6504, IoU.sconce: 0.6260, IoU.vase: 0.5437, IoU.traffic light: 0.4392, IoU.tray: 0.2148, IoU.ashcan: 0.4634, IoU.fan: 0.7173, IoU.pier: 0.3880, IoU.crt screen: 0.0357, IoU.plate: 0.6333, IoU.monitor: 0.0169, IoU.bulletin board: 0.4221, IoU.shower: 0.1751, IoU.radiator: 0.7001, IoU.glass: 0.2499, IoU.clock: 0.5506, IoU.flag: 0.4939, Acc.wall: 0.8836, Acc.building: 0.9037, Acc.sky: 0.9768, Acc.floor: 0.9078, Acc.tree: 0.8794, Acc.ceiling: 0.9259, Acc.road: 0.9267, Acc.bed : 0.9555, Acc.windowpane: 0.8088, Acc.grass: 0.7816, Acc.cabinet: 0.7757, Acc.sidewalk: 0.7774, Acc.person: 0.9267, Acc.earth: 0.5855, Acc.door: 0.6836, Acc.table: 0.8482, Acc.mountain: 0.7460, Acc.plant: 0.6879, Acc.curtain: 0.9015, Acc.chair: 0.7856, Acc.car: 0.9504, Acc.water: 0.6276, Acc.painting: 0.9053, Acc.sofa: 0.8970, Acc.shelf: 0.6115, Acc.house: 0.6748, Acc.sea: 0.7693, Acc.mirror: 0.8200, Acc.rug: 0.8139, Acc.field: 0.4268, Acc.armchair: 0.6460, Acc.seat: 0.8588, Acc.fence: 0.6653, Acc.desk: 0.7464, Acc.rock: 0.7610, Acc.wardrobe: 0.7548, Acc.lamp: 0.8222, Acc.bathtub: 0.8614, Acc.railing: 0.5830, Acc.cushion: 0.7694, Acc.base: 0.6064, Acc.box: 0.4170, Acc.column: 0.7102, Acc.signboard: 0.6206, Acc.chest of drawers: 0.6134, Acc.counter: 0.6185, Acc.sand: 0.5357, Acc.sink: 0.8605, Acc.skyscraper: 0.5991, Acc.fireplace: 0.9058, Acc.refrigerator: 0.9139, Acc.grandstand: 0.7936, Acc.path: 0.3759, Acc.stairs: 0.4724, Acc.runway: 0.9738, Acc.case: 0.8784, Acc.pool table: 0.9733, Acc.pillow: 0.7214, Acc.screen door: 0.8805, Acc.stairway: 0.4832, Acc.river: 0.2017, Acc.bridge: 0.8874, Acc.bookcase: 0.4490, Acc.blind: 0.4784, Acc.coffee table: 0.8536, Acc.toilet: 0.9141, Acc.flower: 0.6271, Acc.book: 0.8085, Acc.hill: 0.1421, Acc.bench: 0.7359, Acc.countertop: 0.8030, Acc.stove: 0.8834, Acc.palm: 0.8644, Acc.kitchen island: 0.8897, Acc.computer: 0.8914, Acc.swivel chair: 0.8204, Acc.boat: 0.9211, Acc.bar: 0.7395, Acc.arcade machine: 0.9104, Acc.hovel: 0.7571, Acc.bus: 0.9620, Acc.towel: 0.9025, Acc.light: 0.8111, Acc.truck: 0.5406, Acc.tower: 0.8160, Acc.chandelier: 0.8741, Acc.awning: 0.6130, Acc.streetlight: 0.6382, Acc.booth: 0.4306, Acc.television receiver: 0.9007, Acc.airplane: 0.7068, Acc.dirt track: 0.4251, Acc.apparel: 0.7081, Acc.pole: 0.5538, Acc.land: 0.0607, Acc.bannister: 0.2905, Acc.escalator: 0.2586, Acc.ottoman: 0.7480, Acc.bottle: 0.6413, Acc.buffet: 0.4303, Acc.poster: 0.4018, Acc.stage: 0.3139, Acc.van: 0.6476, Acc.ship: 0.1522, Acc.fountain: 0.2188, Acc.conveyer belt: 0.9547, Acc.canopy: 0.2488, Acc.washer: 0.7317, Acc.plaything: 0.7200, Acc.swimming pool: 0.7141, Acc.stool: 0.7719, Acc.barrel: 0.9776, Acc.basket: 0.6182, Acc.waterfall: 0.9484, Acc.tent: 0.9826, Acc.bag: 0.4033, Acc.minibike: 0.9091, Acc.cradle: 0.9778, Acc.oven: 0.8277, Acc.ball: 0.3964, Acc.food: 0.7072, Acc.step: 0.4453, Acc.tank: 0.6474, Acc.trade name: 0.3073, Acc.microwave: 0.8456, Acc.pot: 0.7156, Acc.animal: 0.6283, Acc.bicycle: 0.8403, Acc.lake: 0.0004, Acc.dishwasher: 0.8827, Acc.screen: 0.7274, Acc.blanket: 0.5289, Acc.sculpture: 0.8955, Acc.hood: 0.7785, Acc.sconce: 0.7375, Acc.vase: 0.7547, Acc.traffic light: 0.7140, Acc.tray: 0.3210, Acc.ashcan: 0.7389, Acc.fan: 0.8534, Acc.pier: 0.4429, Acc.crt screen: 0.1296, Acc.plate: 0.8134, Acc.monitor: 0.0182, Acc.bulletin board: 0.7291, Acc.shower: 0.2638, Acc.radiator: 0.8636, Acc.glass: 0.2885, Acc.clock: 0.6595, Acc.flag: 0.5768 2023-11-22 07:22:56,912 - mmseg - INFO - Iter [62050/160000] lr: 5.831e-06, eta: 15:58:57, time: 0.968, data_time: 0.411, memory: 38143, decode.loss_cls: 0.3256, decode.loss_mask: 0.5330, decode.loss_dice: 0.8045, decode.d0.loss_cls: 1.4791, decode.d0.loss_mask: 0.5746, decode.d0.loss_dice: 0.9274, decode.d1.loss_cls: 0.4289, decode.d1.loss_mask: 0.5568, decode.d1.loss_dice: 0.8553, decode.d2.loss_cls: 0.3714, decode.d2.loss_mask: 0.5460, decode.d2.loss_dice: 0.8329, decode.d3.loss_cls: 0.3511, decode.d3.loss_mask: 0.5402, decode.d3.loss_dice: 0.8141, decode.d4.loss_cls: 0.3381, decode.d4.loss_mask: 0.5385, decode.d4.loss_dice: 0.8114, decode.d5.loss_cls: 0.3349, decode.d5.loss_mask: 0.5366, decode.d5.loss_dice: 0.8107, decode.d6.loss_cls: 0.3320, decode.d6.loss_mask: 0.5376, decode.d6.loss_dice: 0.7971, decode.d7.loss_cls: 0.3270, decode.d7.loss_mask: 0.5370, decode.d7.loss_dice: 0.8007, decode.d8.loss_cls: 0.3246, decode.d8.loss_mask: 0.5347, decode.d8.loss_dice: 0.8039, loss: 18.3058, grad_norm: 65.6635 2023-11-22 07:23:25,372 - mmseg - INFO - Iter [62100/160000] lr: 5.828e-06, eta: 15:58:26, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3302, decode.loss_mask: 0.5574, decode.loss_dice: 0.8106, decode.d0.loss_cls: 1.4711, decode.d0.loss_mask: 0.5994, decode.d0.loss_dice: 0.9204, decode.d1.loss_cls: 0.4236, decode.d1.loss_mask: 0.5806, decode.d1.loss_dice: 0.8646, decode.d2.loss_cls: 0.3679, decode.d2.loss_mask: 0.5676, decode.d2.loss_dice: 0.8405, decode.d3.loss_cls: 0.3463, decode.d3.loss_mask: 0.5639, decode.d3.loss_dice: 0.8201, decode.d4.loss_cls: 0.3397, decode.d4.loss_mask: 0.5598, decode.d4.loss_dice: 0.8187, decode.d5.loss_cls: 0.3364, decode.d5.loss_mask: 0.5610, decode.d5.loss_dice: 0.8163, decode.d6.loss_cls: 0.3303, decode.d6.loss_mask: 0.5584, decode.d6.loss_dice: 0.8175, decode.d7.loss_cls: 0.3301, decode.d7.loss_mask: 0.5581, decode.d7.loss_dice: 0.8136, decode.d8.loss_cls: 0.3308, decode.d8.loss_mask: 0.5573, decode.d8.loss_dice: 0.8142, loss: 18.6068, grad_norm: 74.5822 2023-11-22 07:23:53,633 - mmseg - INFO - Iter [62150/160000] lr: 5.825e-06, eta: 15:57:55, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3403, decode.loss_mask: 0.5430, decode.loss_dice: 0.8021, decode.d0.loss_cls: 1.4843, decode.d0.loss_mask: 0.5794, decode.d0.loss_dice: 0.9113, decode.d1.loss_cls: 0.4325, decode.d1.loss_mask: 0.5648, decode.d1.loss_dice: 0.8536, decode.d2.loss_cls: 0.3710, decode.d2.loss_mask: 0.5564, decode.d2.loss_dice: 0.8277, decode.d3.loss_cls: 0.3507, decode.d3.loss_mask: 0.5502, decode.d3.loss_dice: 0.8174, decode.d4.loss_cls: 0.3504, decode.d4.loss_mask: 0.5474, decode.d4.loss_dice: 0.8168, decode.d5.loss_cls: 0.3380, decode.d5.loss_mask: 0.5483, decode.d5.loss_dice: 0.8128, decode.d6.loss_cls: 0.3420, decode.d6.loss_mask: 0.5461, decode.d6.loss_dice: 0.8059, decode.d7.loss_cls: 0.3397, decode.d7.loss_mask: 0.5458, decode.d7.loss_dice: 0.8038, decode.d8.loss_cls: 0.3351, decode.d8.loss_mask: 0.5453, decode.d8.loss_dice: 0.8101, loss: 18.4722, grad_norm: 67.5474 2023-11-22 07:24:21,864 - mmseg - INFO - Iter [62200/160000] lr: 5.822e-06, eta: 15:57:24, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3184, decode.loss_mask: 0.5370, decode.loss_dice: 0.8034, decode.d0.loss_cls: 1.4745, decode.d0.loss_mask: 0.5724, decode.d0.loss_dice: 0.9032, decode.d1.loss_cls: 0.4151, decode.d1.loss_mask: 0.5565, decode.d1.loss_dice: 0.8499, decode.d2.loss_cls: 0.3511, decode.d2.loss_mask: 0.5493, decode.d2.loss_dice: 0.8287, decode.d3.loss_cls: 0.3307, decode.d3.loss_mask: 0.5420, decode.d3.loss_dice: 0.8107, decode.d4.loss_cls: 0.3240, decode.d4.loss_mask: 0.5414, decode.d4.loss_dice: 0.8103, decode.d5.loss_cls: 0.3192, decode.d5.loss_mask: 0.5390, decode.d5.loss_dice: 0.8065, decode.d6.loss_cls: 0.3143, decode.d6.loss_mask: 0.5375, decode.d6.loss_dice: 0.8046, decode.d7.loss_cls: 0.3132, decode.d7.loss_mask: 0.5382, decode.d7.loss_dice: 0.8057, decode.d8.loss_cls: 0.3109, decode.d8.loss_mask: 0.5394, decode.d8.loss_dice: 0.8029, loss: 18.1496, grad_norm: 67.4214 2023-11-22 07:24:50,072 - mmseg - INFO - Iter [62250/160000] lr: 5.819e-06, eta: 15:56:53, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3256, decode.loss_mask: 0.5455, decode.loss_dice: 0.7997, decode.d0.loss_cls: 1.4869, decode.d0.loss_mask: 0.5860, decode.d0.loss_dice: 0.9107, decode.d1.loss_cls: 0.4233, decode.d1.loss_mask: 0.5708, decode.d1.loss_dice: 0.8510, decode.d2.loss_cls: 0.3619, decode.d2.loss_mask: 0.5575, decode.d2.loss_dice: 0.8251, decode.d3.loss_cls: 0.3417, decode.d3.loss_mask: 0.5474, decode.d3.loss_dice: 0.8036, decode.d4.loss_cls: 0.3398, decode.d4.loss_mask: 0.5496, decode.d4.loss_dice: 0.8012, decode.d5.loss_cls: 0.3282, decode.d5.loss_mask: 0.5483, decode.d5.loss_dice: 0.8081, decode.d6.loss_cls: 0.3260, decode.d6.loss_mask: 0.5458, decode.d6.loss_dice: 0.7997, decode.d7.loss_cls: 0.3288, decode.d7.loss_mask: 0.5449, decode.d7.loss_dice: 0.8034, decode.d8.loss_cls: 0.3261, decode.d8.loss_mask: 0.5468, decode.d8.loss_dice: 0.8028, loss: 18.3360, grad_norm: 72.1260 2023-11-22 07:25:18,518 - mmseg - INFO - Iter [62300/160000] lr: 5.816e-06, eta: 15:56:22, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3391, decode.loss_mask: 0.5363, decode.loss_dice: 0.8099, decode.d0.loss_cls: 1.4678, decode.d0.loss_mask: 0.5780, decode.d0.loss_dice: 0.9262, decode.d1.loss_cls: 0.4370, decode.d1.loss_mask: 0.5624, decode.d1.loss_dice: 0.8661, decode.d2.loss_cls: 0.3850, decode.d2.loss_mask: 0.5460, decode.d2.loss_dice: 0.8435, decode.d3.loss_cls: 0.3547, decode.d3.loss_mask: 0.5402, decode.d3.loss_dice: 0.8180, decode.d4.loss_cls: 0.3503, decode.d4.loss_mask: 0.5404, decode.d4.loss_dice: 0.8198, decode.d5.loss_cls: 0.3435, decode.d5.loss_mask: 0.5398, decode.d5.loss_dice: 0.8176, decode.d6.loss_cls: 0.3370, decode.d6.loss_mask: 0.5377, decode.d6.loss_dice: 0.8111, decode.d7.loss_cls: 0.3341, decode.d7.loss_mask: 0.5367, decode.d7.loss_dice: 0.8105, decode.d8.loss_cls: 0.3339, decode.d8.loss_mask: 0.5389, decode.d8.loss_dice: 0.8115, loss: 18.4731, grad_norm: 78.3966 2023-11-22 07:25:46,993 - mmseg - INFO - Iter [62350/160000] lr: 5.813e-06, eta: 15:55:51, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3231, decode.loss_mask: 0.5245, decode.loss_dice: 0.7917, decode.d0.loss_cls: 1.4892, decode.d0.loss_mask: 0.5559, decode.d0.loss_dice: 0.8976, decode.d1.loss_cls: 0.4150, decode.d1.loss_mask: 0.5406, decode.d1.loss_dice: 0.8399, decode.d2.loss_cls: 0.3649, decode.d2.loss_mask: 0.5348, decode.d2.loss_dice: 0.8150, decode.d3.loss_cls: 0.3459, decode.d3.loss_mask: 0.5273, decode.d3.loss_dice: 0.7961, decode.d4.loss_cls: 0.3386, decode.d4.loss_mask: 0.5262, decode.d4.loss_dice: 0.7917, decode.d5.loss_cls: 0.3353, decode.d5.loss_mask: 0.5254, decode.d5.loss_dice: 0.7955, decode.d6.loss_cls: 0.3301, decode.d6.loss_mask: 0.5261, decode.d6.loss_dice: 0.7899, decode.d7.loss_cls: 0.3284, decode.d7.loss_mask: 0.5248, decode.d7.loss_dice: 0.7884, decode.d8.loss_cls: 0.3246, decode.d8.loss_mask: 0.5257, decode.d8.loss_dice: 0.7888, loss: 18.0009, grad_norm: 72.0067 2023-11-22 07:26:15,344 - mmseg - INFO - Iter [62400/160000] lr: 5.810e-06, eta: 15:55:20, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3270, decode.loss_mask: 0.5495, decode.loss_dice: 0.7852, decode.d0.loss_cls: 1.4516, decode.d0.loss_mask: 0.5927, decode.d0.loss_dice: 0.8924, decode.d1.loss_cls: 0.4256, decode.d1.loss_mask: 0.5754, decode.d1.loss_dice: 0.8355, decode.d2.loss_cls: 0.3733, decode.d2.loss_mask: 0.5606, decode.d2.loss_dice: 0.8097, decode.d3.loss_cls: 0.3482, decode.d3.loss_mask: 0.5568, decode.d3.loss_dice: 0.7871, decode.d4.loss_cls: 0.3406, decode.d4.loss_mask: 0.5540, decode.d4.loss_dice: 0.7888, decode.d5.loss_cls: 0.3376, decode.d5.loss_mask: 0.5533, decode.d5.loss_dice: 0.7869, decode.d6.loss_cls: 0.3337, decode.d6.loss_mask: 0.5535, decode.d6.loss_dice: 0.7895, decode.d7.loss_cls: 0.3312, decode.d7.loss_mask: 0.5525, decode.d7.loss_dice: 0.7838, decode.d8.loss_cls: 0.3323, decode.d8.loss_mask: 0.5496, decode.d8.loss_dice: 0.7837, loss: 18.2417, grad_norm: 72.4350 2023-11-22 07:26:43,674 - mmseg - INFO - Iter [62450/160000] lr: 5.807e-06, eta: 15:54:49, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3534, decode.loss_mask: 0.5391, decode.loss_dice: 0.8030, decode.d0.loss_cls: 1.5076, decode.d0.loss_mask: 0.5728, decode.d0.loss_dice: 0.9186, decode.d1.loss_cls: 0.4542, decode.d1.loss_mask: 0.5539, decode.d1.loss_dice: 0.8558, decode.d2.loss_cls: 0.4024, decode.d2.loss_mask: 0.5436, decode.d2.loss_dice: 0.8327, decode.d3.loss_cls: 0.3817, decode.d3.loss_mask: 0.5381, decode.d3.loss_dice: 0.8129, decode.d4.loss_cls: 0.3699, decode.d4.loss_mask: 0.5397, decode.d4.loss_dice: 0.8192, decode.d5.loss_cls: 0.3637, decode.d5.loss_mask: 0.5389, decode.d5.loss_dice: 0.8143, decode.d6.loss_cls: 0.3562, decode.d6.loss_mask: 0.5390, decode.d6.loss_dice: 0.8109, decode.d7.loss_cls: 0.3570, decode.d7.loss_mask: 0.5393, decode.d7.loss_dice: 0.8167, decode.d8.loss_cls: 0.3498, decode.d8.loss_mask: 0.5422, decode.d8.loss_dice: 0.8142, loss: 18.6407, grad_norm: 69.6431 2023-11-22 07:27:12,229 - mmseg - INFO - Iter [62500/160000] lr: 5.804e-06, eta: 15:54:19, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3378, decode.loss_mask: 0.5316, decode.loss_dice: 0.8015, decode.d0.loss_cls: 1.4984, decode.d0.loss_mask: 0.5643, decode.d0.loss_dice: 0.9147, decode.d1.loss_cls: 0.4260, decode.d1.loss_mask: 0.5507, decode.d1.loss_dice: 0.8543, decode.d2.loss_cls: 0.3811, decode.d2.loss_mask: 0.5411, decode.d2.loss_dice: 0.8299, decode.d3.loss_cls: 0.3513, decode.d3.loss_mask: 0.5361, decode.d3.loss_dice: 0.8136, decode.d4.loss_cls: 0.3393, decode.d4.loss_mask: 0.5345, decode.d4.loss_dice: 0.8156, decode.d5.loss_cls: 0.3395, decode.d5.loss_mask: 0.5335, decode.d5.loss_dice: 0.8100, decode.d6.loss_cls: 0.3399, decode.d6.loss_mask: 0.5307, decode.d6.loss_dice: 0.8052, decode.d7.loss_cls: 0.3363, decode.d7.loss_mask: 0.5296, decode.d7.loss_dice: 0.8029, decode.d8.loss_cls: 0.3374, decode.d8.loss_mask: 0.5318, decode.d8.loss_dice: 0.8041, loss: 18.3227, grad_norm: 73.0410 2023-11-22 07:27:40,478 - mmseg - INFO - Iter [62550/160000] lr: 5.801e-06, eta: 15:53:48, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3341, decode.loss_mask: 0.5367, decode.loss_dice: 0.7848, decode.d0.loss_cls: 1.4515, decode.d0.loss_mask: 0.5717, decode.d0.loss_dice: 0.8922, decode.d1.loss_cls: 0.4285, decode.d1.loss_mask: 0.5578, decode.d1.loss_dice: 0.8321, decode.d2.loss_cls: 0.3714, decode.d2.loss_mask: 0.5504, decode.d2.loss_dice: 0.8168, decode.d3.loss_cls: 0.3525, decode.d3.loss_mask: 0.5416, decode.d3.loss_dice: 0.7950, decode.d4.loss_cls: 0.3446, decode.d4.loss_mask: 0.5420, decode.d4.loss_dice: 0.7975, decode.d5.loss_cls: 0.3367, decode.d5.loss_mask: 0.5392, decode.d5.loss_dice: 0.7971, decode.d6.loss_cls: 0.3389, decode.d6.loss_mask: 0.5363, decode.d6.loss_dice: 0.7851, decode.d7.loss_cls: 0.3368, decode.d7.loss_mask: 0.5374, decode.d7.loss_dice: 0.7878, decode.d8.loss_cls: 0.3365, decode.d8.loss_mask: 0.5365, decode.d8.loss_dice: 0.7880, loss: 18.1576, grad_norm: 71.2795 2023-11-22 07:28:08,871 - mmseg - INFO - Iter [62600/160000] lr: 5.798e-06, eta: 15:53:17, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3310, decode.loss_mask: 0.5379, decode.loss_dice: 0.7899, decode.d0.loss_cls: 1.4683, decode.d0.loss_mask: 0.5754, decode.d0.loss_dice: 0.9016, decode.d1.loss_cls: 0.4243, decode.d1.loss_mask: 0.5632, decode.d1.loss_dice: 0.8441, decode.d2.loss_cls: 0.3662, decode.d2.loss_mask: 0.5487, decode.d2.loss_dice: 0.8138, decode.d3.loss_cls: 0.3459, decode.d3.loss_mask: 0.5443, decode.d3.loss_dice: 0.8010, decode.d4.loss_cls: 0.3402, decode.d4.loss_mask: 0.5433, decode.d4.loss_dice: 0.7976, decode.d5.loss_cls: 0.3338, decode.d5.loss_mask: 0.5424, decode.d5.loss_dice: 0.7915, decode.d6.loss_cls: 0.3356, decode.d6.loss_mask: 0.5429, decode.d6.loss_dice: 0.7865, decode.d7.loss_cls: 0.3309, decode.d7.loss_mask: 0.5435, decode.d7.loss_dice: 0.7863, decode.d8.loss_cls: 0.3304, decode.d8.loss_mask: 0.5383, decode.d8.loss_dice: 0.7889, loss: 18.1874, grad_norm: 69.1463 2023-11-22 07:28:37,256 - mmseg - INFO - Iter [62650/160000] lr: 5.795e-06, eta: 15:52:46, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3167, decode.loss_mask: 0.5561, decode.loss_dice: 0.8183, decode.d0.loss_cls: 1.4813, decode.d0.loss_mask: 0.5974, decode.d0.loss_dice: 0.9209, decode.d1.loss_cls: 0.4138, decode.d1.loss_mask: 0.5822, decode.d1.loss_dice: 0.8630, decode.d2.loss_cls: 0.3613, decode.d2.loss_mask: 0.5715, decode.d2.loss_dice: 0.8396, decode.d3.loss_cls: 0.3395, decode.d3.loss_mask: 0.5631, decode.d3.loss_dice: 0.8236, decode.d4.loss_cls: 0.3286, decode.d4.loss_mask: 0.5594, decode.d4.loss_dice: 0.8207, decode.d5.loss_cls: 0.3237, decode.d5.loss_mask: 0.5549, decode.d5.loss_dice: 0.8188, decode.d6.loss_cls: 0.3220, decode.d6.loss_mask: 0.5567, decode.d6.loss_dice: 0.8158, decode.d7.loss_cls: 0.3179, decode.d7.loss_mask: 0.5543, decode.d7.loss_dice: 0.8149, decode.d8.loss_cls: 0.3178, decode.d8.loss_mask: 0.5550, decode.d8.loss_dice: 0.8120, loss: 18.5207, grad_norm: 70.5651 2023-11-22 07:29:05,630 - mmseg - INFO - Iter [62700/160000] lr: 5.792e-06, eta: 15:52:15, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3444, decode.loss_mask: 0.5490, decode.loss_dice: 0.8224, decode.d0.loss_cls: 1.4510, decode.d0.loss_mask: 0.5929, decode.d0.loss_dice: 0.9296, decode.d1.loss_cls: 0.4327, decode.d1.loss_mask: 0.5720, decode.d1.loss_dice: 0.8737, decode.d2.loss_cls: 0.3782, decode.d2.loss_mask: 0.5646, decode.d2.loss_dice: 0.8463, decode.d3.loss_cls: 0.3607, decode.d3.loss_mask: 0.5572, decode.d3.loss_dice: 0.8247, decode.d4.loss_cls: 0.3564, decode.d4.loss_mask: 0.5570, decode.d4.loss_dice: 0.8279, decode.d5.loss_cls: 0.3514, decode.d5.loss_mask: 0.5566, decode.d5.loss_dice: 0.8286, decode.d6.loss_cls: 0.3492, decode.d6.loss_mask: 0.5547, decode.d6.loss_dice: 0.8254, decode.d7.loss_cls: 0.3462, decode.d7.loss_mask: 0.5540, decode.d7.loss_dice: 0.8205, decode.d8.loss_cls: 0.3426, decode.d8.loss_mask: 0.5520, decode.d8.loss_dice: 0.8231, loss: 18.7449, grad_norm: 67.6331 2023-11-22 07:29:33,728 - mmseg - INFO - Iter [62750/160000] lr: 5.789e-06, eta: 15:51:44, time: 0.562, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3333, decode.loss_mask: 0.5703, decode.loss_dice: 0.8312, decode.d0.loss_cls: 1.4615, decode.d0.loss_mask: 0.6108, decode.d0.loss_dice: 0.9443, decode.d1.loss_cls: 0.4261, decode.d1.loss_mask: 0.5942, decode.d1.loss_dice: 0.8872, decode.d2.loss_cls: 0.3712, decode.d2.loss_mask: 0.5809, decode.d2.loss_dice: 0.8694, decode.d3.loss_cls: 0.3530, decode.d3.loss_mask: 0.5784, decode.d3.loss_dice: 0.8425, decode.d4.loss_cls: 0.3429, decode.d4.loss_mask: 0.5743, decode.d4.loss_dice: 0.8432, decode.d5.loss_cls: 0.3383, decode.d5.loss_mask: 0.5721, decode.d5.loss_dice: 0.8390, decode.d6.loss_cls: 0.3369, decode.d6.loss_mask: 0.5713, decode.d6.loss_dice: 0.8352, decode.d7.loss_cls: 0.3305, decode.d7.loss_mask: 0.5712, decode.d7.loss_dice: 0.8356, decode.d8.loss_cls: 0.3323, decode.d8.loss_mask: 0.5711, decode.d8.loss_dice: 0.8379, loss: 18.9861, grad_norm: 78.5069 2023-11-22 07:30:01,984 - mmseg - INFO - Iter [62800/160000] lr: 5.786e-06, eta: 15:51:13, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3571, decode.loss_mask: 0.5723, decode.loss_dice: 0.8071, decode.d0.loss_cls: 1.4803, decode.d0.loss_mask: 0.6094, decode.d0.loss_dice: 0.9245, decode.d1.loss_cls: 0.4501, decode.d1.loss_mask: 0.5920, decode.d1.loss_dice: 0.8611, decode.d2.loss_cls: 0.3959, decode.d2.loss_mask: 0.5861, decode.d2.loss_dice: 0.8352, decode.d3.loss_cls: 0.3815, decode.d3.loss_mask: 0.5740, decode.d3.loss_dice: 0.8136, decode.d4.loss_cls: 0.3665, decode.d4.loss_mask: 0.5769, decode.d4.loss_dice: 0.8192, decode.d5.loss_cls: 0.3606, decode.d5.loss_mask: 0.5721, decode.d5.loss_dice: 0.8147, decode.d6.loss_cls: 0.3599, decode.d6.loss_mask: 0.5701, decode.d6.loss_dice: 0.8174, decode.d7.loss_cls: 0.3567, decode.d7.loss_mask: 0.5726, decode.d7.loss_dice: 0.8120, decode.d8.loss_cls: 0.3531, decode.d8.loss_mask: 0.5725, decode.d8.loss_dice: 0.8106, loss: 18.9752, grad_norm: 76.3316 2023-11-22 07:30:30,334 - mmseg - INFO - Iter [62850/160000] lr: 5.783e-06, eta: 15:50:42, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3357, decode.loss_mask: 0.5423, decode.loss_dice: 0.8219, decode.d0.loss_cls: 1.4679, decode.d0.loss_mask: 0.5819, decode.d0.loss_dice: 0.9255, decode.d1.loss_cls: 0.4182, decode.d1.loss_mask: 0.5647, decode.d1.loss_dice: 0.8804, decode.d2.loss_cls: 0.3729, decode.d2.loss_mask: 0.5483, decode.d2.loss_dice: 0.8497, decode.d3.loss_cls: 0.3492, decode.d3.loss_mask: 0.5464, decode.d3.loss_dice: 0.8312, decode.d4.loss_cls: 0.3429, decode.d4.loss_mask: 0.5460, decode.d4.loss_dice: 0.8278, decode.d5.loss_cls: 0.3428, decode.d5.loss_mask: 0.5459, decode.d5.loss_dice: 0.8260, decode.d6.loss_cls: 0.3346, decode.d6.loss_mask: 0.5428, decode.d6.loss_dice: 0.8256, decode.d7.loss_cls: 0.3329, decode.d7.loss_mask: 0.5429, decode.d7.loss_dice: 0.8247, decode.d8.loss_cls: 0.3300, decode.d8.loss_mask: 0.5406, decode.d8.loss_dice: 0.8258, loss: 18.5678, grad_norm: 72.4190 2023-11-22 07:30:58,741 - mmseg - INFO - Iter [62900/160000] lr: 5.780e-06, eta: 15:50:11, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3312, decode.loss_mask: 0.5507, decode.loss_dice: 0.7927, decode.d0.loss_cls: 1.4557, decode.d0.loss_mask: 0.5838, decode.d0.loss_dice: 0.8968, decode.d1.loss_cls: 0.4106, decode.d1.loss_mask: 0.5721, decode.d1.loss_dice: 0.8387, decode.d2.loss_cls: 0.3605, decode.d2.loss_mask: 0.5613, decode.d2.loss_dice: 0.8111, decode.d3.loss_cls: 0.3490, decode.d3.loss_mask: 0.5568, decode.d3.loss_dice: 0.7962, decode.d4.loss_cls: 0.3383, decode.d4.loss_mask: 0.5548, decode.d4.loss_dice: 0.8054, decode.d5.loss_cls: 0.3367, decode.d5.loss_mask: 0.5552, decode.d5.loss_dice: 0.7975, decode.d6.loss_cls: 0.3385, decode.d6.loss_mask: 0.5509, decode.d6.loss_dice: 0.7909, decode.d7.loss_cls: 0.3327, decode.d7.loss_mask: 0.5505, decode.d7.loss_dice: 0.7982, decode.d8.loss_cls: 0.3296, decode.d8.loss_mask: 0.5510, decode.d8.loss_dice: 0.8019, loss: 18.2991, grad_norm: 75.3389 2023-11-22 07:31:27,178 - mmseg - INFO - Iter [62950/160000] lr: 5.777e-06, eta: 15:49:40, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3355, decode.loss_mask: 0.5442, decode.loss_dice: 0.8002, decode.d0.loss_cls: 1.4549, decode.d0.loss_mask: 0.5853, decode.d0.loss_dice: 0.9051, decode.d1.loss_cls: 0.4150, decode.d1.loss_mask: 0.5693, decode.d1.loss_dice: 0.8521, decode.d2.loss_cls: 0.3751, decode.d2.loss_mask: 0.5516, decode.d2.loss_dice: 0.8221, decode.d3.loss_cls: 0.3539, decode.d3.loss_mask: 0.5422, decode.d3.loss_dice: 0.8040, decode.d4.loss_cls: 0.3460, decode.d4.loss_mask: 0.5435, decode.d4.loss_dice: 0.8029, decode.d5.loss_cls: 0.3398, decode.d5.loss_mask: 0.5457, decode.d5.loss_dice: 0.8052, decode.d6.loss_cls: 0.3417, decode.d6.loss_mask: 0.5427, decode.d6.loss_dice: 0.7927, decode.d7.loss_cls: 0.3387, decode.d7.loss_mask: 0.5439, decode.d7.loss_dice: 0.7963, decode.d8.loss_cls: 0.3338, decode.d8.loss_mask: 0.5421, decode.d8.loss_dice: 0.8002, loss: 18.3257, grad_norm: 70.8508 2023-11-22 07:31:55,480 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 07:31:55,480 - mmseg - INFO - Iter [63000/160000] lr: 5.775e-06, eta: 15:49:09, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3294, decode.loss_mask: 0.5455, decode.loss_dice: 0.8064, decode.d0.loss_cls: 1.4696, decode.d0.loss_mask: 0.5843, decode.d0.loss_dice: 0.9037, decode.d1.loss_cls: 0.4150, decode.d1.loss_mask: 0.5725, decode.d1.loss_dice: 0.8569, decode.d2.loss_cls: 0.3719, decode.d2.loss_mask: 0.5595, decode.d2.loss_dice: 0.8368, decode.d3.loss_cls: 0.3514, decode.d3.loss_mask: 0.5502, decode.d3.loss_dice: 0.8123, decode.d4.loss_cls: 0.3500, decode.d4.loss_mask: 0.5498, decode.d4.loss_dice: 0.8074, decode.d5.loss_cls: 0.3409, decode.d5.loss_mask: 0.5520, decode.d5.loss_dice: 0.8105, decode.d6.loss_cls: 0.3373, decode.d6.loss_mask: 0.5455, decode.d6.loss_dice: 0.8046, decode.d7.loss_cls: 0.3362, decode.d7.loss_mask: 0.5458, decode.d7.loss_dice: 0.8057, decode.d8.loss_cls: 0.3369, decode.d8.loss_mask: 0.5450, decode.d8.loss_dice: 0.8002, loss: 18.4332, grad_norm: 76.3370 2023-11-22 07:32:23,801 - mmseg - INFO - Iter [63050/160000] lr: 5.772e-06, eta: 15:48:38, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3388, decode.loss_mask: 0.5425, decode.loss_dice: 0.8305, decode.d0.loss_cls: 1.4884, decode.d0.loss_mask: 0.5769, decode.d0.loss_dice: 0.9425, decode.d1.loss_cls: 0.4391, decode.d1.loss_mask: 0.5637, decode.d1.loss_dice: 0.8721, decode.d2.loss_cls: 0.3768, decode.d2.loss_mask: 0.5510, decode.d2.loss_dice: 0.8516, decode.d3.loss_cls: 0.3587, decode.d3.loss_mask: 0.5447, decode.d3.loss_dice: 0.8330, decode.d4.loss_cls: 0.3518, decode.d4.loss_mask: 0.5448, decode.d4.loss_dice: 0.8342, decode.d5.loss_cls: 0.3453, decode.d5.loss_mask: 0.5449, decode.d5.loss_dice: 0.8247, decode.d6.loss_cls: 0.3440, decode.d6.loss_mask: 0.5407, decode.d6.loss_dice: 0.8235, decode.d7.loss_cls: 0.3451, decode.d7.loss_mask: 0.5414, decode.d7.loss_dice: 0.8278, decode.d8.loss_cls: 0.3434, decode.d8.loss_mask: 0.5403, decode.d8.loss_dice: 0.8275, loss: 18.6895, grad_norm: 73.2879 2023-11-22 07:32:51,970 - mmseg - INFO - Iter [63100/160000] lr: 5.769e-06, eta: 15:48:07, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3429, decode.loss_mask: 0.5544, decode.loss_dice: 0.8152, decode.d0.loss_cls: 1.4998, decode.d0.loss_mask: 0.5848, decode.d0.loss_dice: 0.9279, decode.d1.loss_cls: 0.4329, decode.d1.loss_mask: 0.5707, decode.d1.loss_dice: 0.8723, decode.d2.loss_cls: 0.3796, decode.d2.loss_mask: 0.5631, decode.d2.loss_dice: 0.8396, decode.d3.loss_cls: 0.3673, decode.d3.loss_mask: 0.5553, decode.d3.loss_dice: 0.8208, decode.d4.loss_cls: 0.3529, decode.d4.loss_mask: 0.5535, decode.d4.loss_dice: 0.8203, decode.d5.loss_cls: 0.3533, decode.d5.loss_mask: 0.5555, decode.d5.loss_dice: 0.8196, decode.d6.loss_cls: 0.3519, decode.d6.loss_mask: 0.5519, decode.d6.loss_dice: 0.8157, decode.d7.loss_cls: 0.3473, decode.d7.loss_mask: 0.5530, decode.d7.loss_dice: 0.8161, decode.d8.loss_cls: 0.3501, decode.d8.loss_mask: 0.5537, decode.d8.loss_dice: 0.8127, loss: 18.7340, grad_norm: 72.6150 2023-11-22 07:33:20,218 - mmseg - INFO - Iter [63150/160000] lr: 5.766e-06, eta: 15:47:36, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3219, decode.loss_mask: 0.5546, decode.loss_dice: 0.7978, decode.d0.loss_cls: 1.4368, decode.d0.loss_mask: 0.5927, decode.d0.loss_dice: 0.8978, decode.d1.loss_cls: 0.4130, decode.d1.loss_mask: 0.5806, decode.d1.loss_dice: 0.8406, decode.d2.loss_cls: 0.3641, decode.d2.loss_mask: 0.5649, decode.d2.loss_dice: 0.8186, decode.d3.loss_cls: 0.3413, decode.d3.loss_mask: 0.5639, decode.d3.loss_dice: 0.8098, decode.d4.loss_cls: 0.3292, decode.d4.loss_mask: 0.5600, decode.d4.loss_dice: 0.8100, decode.d5.loss_cls: 0.3296, decode.d5.loss_mask: 0.5596, decode.d5.loss_dice: 0.8036, decode.d6.loss_cls: 0.3273, decode.d6.loss_mask: 0.5552, decode.d6.loss_dice: 0.7909, decode.d7.loss_cls: 0.3262, decode.d7.loss_mask: 0.5531, decode.d7.loss_dice: 0.7947, decode.d8.loss_cls: 0.3276, decode.d8.loss_mask: 0.5551, decode.d8.loss_dice: 0.7959, loss: 18.3164, grad_norm: 78.0354 2023-11-22 07:33:51,090 - mmseg - INFO - Iter [63200/160000] lr: 5.763e-06, eta: 15:47:09, time: 0.617, data_time: 0.060, memory: 38143, decode.loss_cls: 0.3132, decode.loss_mask: 0.5514, decode.loss_dice: 0.8021, decode.d0.loss_cls: 1.4407, decode.d0.loss_mask: 0.5858, decode.d0.loss_dice: 0.9070, decode.d1.loss_cls: 0.4058, decode.d1.loss_mask: 0.5720, decode.d1.loss_dice: 0.8506, decode.d2.loss_cls: 0.3462, decode.d2.loss_mask: 0.5626, decode.d2.loss_dice: 0.8303, decode.d3.loss_cls: 0.3325, decode.d3.loss_mask: 0.5509, decode.d3.loss_dice: 0.8131, decode.d4.loss_cls: 0.3246, decode.d4.loss_mask: 0.5501, decode.d4.loss_dice: 0.8127, decode.d5.loss_cls: 0.3236, decode.d5.loss_mask: 0.5523, decode.d5.loss_dice: 0.8079, decode.d6.loss_cls: 0.3198, decode.d6.loss_mask: 0.5536, decode.d6.loss_dice: 0.8049, decode.d7.loss_cls: 0.3121, decode.d7.loss_mask: 0.5550, decode.d7.loss_dice: 0.8064, decode.d8.loss_cls: 0.3127, decode.d8.loss_mask: 0.5523, decode.d8.loss_dice: 0.8066, loss: 18.2589, grad_norm: 74.1907 2023-11-22 07:34:19,922 - mmseg - INFO - Iter [63250/160000] lr: 5.760e-06, eta: 15:46:39, time: 0.577, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3287, decode.loss_mask: 0.5485, decode.loss_dice: 0.8166, decode.d0.loss_cls: 1.4655, decode.d0.loss_mask: 0.5828, decode.d0.loss_dice: 0.9215, decode.d1.loss_cls: 0.4351, decode.d1.loss_mask: 0.5667, decode.d1.loss_dice: 0.8651, decode.d2.loss_cls: 0.3765, decode.d2.loss_mask: 0.5546, decode.d2.loss_dice: 0.8360, decode.d3.loss_cls: 0.3567, decode.d3.loss_mask: 0.5534, decode.d3.loss_dice: 0.8222, decode.d4.loss_cls: 0.3475, decode.d4.loss_mask: 0.5508, decode.d4.loss_dice: 0.8236, decode.d5.loss_cls: 0.3358, decode.d5.loss_mask: 0.5501, decode.d5.loss_dice: 0.8208, decode.d6.loss_cls: 0.3396, decode.d6.loss_mask: 0.5513, decode.d6.loss_dice: 0.8164, decode.d7.loss_cls: 0.3357, decode.d7.loss_mask: 0.5506, decode.d7.loss_dice: 0.8177, decode.d8.loss_cls: 0.3311, decode.d8.loss_mask: 0.5499, decode.d8.loss_dice: 0.8197, loss: 18.5707, grad_norm: 73.5466 2023-11-22 07:34:48,304 - mmseg - INFO - Iter [63300/160000] lr: 5.757e-06, eta: 15:46:08, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3594, decode.loss_mask: 0.5439, decode.loss_dice: 0.7786, decode.d0.loss_cls: 1.5155, decode.d0.loss_mask: 0.5889, decode.d0.loss_dice: 0.9045, decode.d1.loss_cls: 0.4419, decode.d1.loss_mask: 0.5702, decode.d1.loss_dice: 0.8363, decode.d2.loss_cls: 0.3942, decode.d2.loss_mask: 0.5578, decode.d2.loss_dice: 0.8137, decode.d3.loss_cls: 0.3786, decode.d3.loss_mask: 0.5487, decode.d3.loss_dice: 0.7935, decode.d4.loss_cls: 0.3671, decode.d4.loss_mask: 0.5454, decode.d4.loss_dice: 0.7896, decode.d5.loss_cls: 0.3587, decode.d5.loss_mask: 0.5484, decode.d5.loss_dice: 0.7889, decode.d6.loss_cls: 0.3571, decode.d6.loss_mask: 0.5443, decode.d6.loss_dice: 0.7814, decode.d7.loss_cls: 0.3507, decode.d7.loss_mask: 0.5448, decode.d7.loss_dice: 0.7834, decode.d8.loss_cls: 0.3550, decode.d8.loss_mask: 0.5422, decode.d8.loss_dice: 0.7801, loss: 18.4625, grad_norm: 71.4930 2023-11-22 07:35:16,661 - mmseg - INFO - Iter [63350/160000] lr: 5.754e-06, eta: 15:45:37, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3283, decode.loss_mask: 0.5232, decode.loss_dice: 0.7864, decode.d0.loss_cls: 1.4877, decode.d0.loss_mask: 0.5662, decode.d0.loss_dice: 0.9047, decode.d1.loss_cls: 0.4314, decode.d1.loss_mask: 0.5464, decode.d1.loss_dice: 0.8466, decode.d2.loss_cls: 0.3720, decode.d2.loss_mask: 0.5346, decode.d2.loss_dice: 0.8191, decode.d3.loss_cls: 0.3576, decode.d3.loss_mask: 0.5274, decode.d3.loss_dice: 0.7980, decode.d4.loss_cls: 0.3518, decode.d4.loss_mask: 0.5261, decode.d4.loss_dice: 0.7934, decode.d5.loss_cls: 0.3395, decode.d5.loss_mask: 0.5248, decode.d5.loss_dice: 0.7903, decode.d6.loss_cls: 0.3312, decode.d6.loss_mask: 0.5240, decode.d6.loss_dice: 0.7858, decode.d7.loss_cls: 0.3260, decode.d7.loss_mask: 0.5246, decode.d7.loss_dice: 0.7863, decode.d8.loss_cls: 0.3284, decode.d8.loss_mask: 0.5252, decode.d8.loss_dice: 0.7857, loss: 18.0729, grad_norm: 69.5613 2023-11-22 07:35:45,164 - mmseg - INFO - Iter [63400/160000] lr: 5.751e-06, eta: 15:45:06, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3191, decode.loss_mask: 0.5342, decode.loss_dice: 0.8028, decode.d0.loss_cls: 1.4751, decode.d0.loss_mask: 0.5691, decode.d0.loss_dice: 0.9147, decode.d1.loss_cls: 0.4245, decode.d1.loss_mask: 0.5580, decode.d1.loss_dice: 0.8544, decode.d2.loss_cls: 0.3677, decode.d2.loss_mask: 0.5408, decode.d2.loss_dice: 0.8273, decode.d3.loss_cls: 0.3452, decode.d3.loss_mask: 0.5344, decode.d3.loss_dice: 0.8098, decode.d4.loss_cls: 0.3423, decode.d4.loss_mask: 0.5328, decode.d4.loss_dice: 0.8088, decode.d5.loss_cls: 0.3344, decode.d5.loss_mask: 0.5355, decode.d5.loss_dice: 0.8046, decode.d6.loss_cls: 0.3294, decode.d6.loss_mask: 0.5367, decode.d6.loss_dice: 0.8038, decode.d7.loss_cls: 0.3214, decode.d7.loss_mask: 0.5370, decode.d7.loss_dice: 0.8051, decode.d8.loss_cls: 0.3234, decode.d8.loss_mask: 0.5342, decode.d8.loss_dice: 0.8032, loss: 18.2297, grad_norm: 72.6352 2023-11-22 07:36:13,495 - mmseg - INFO - Iter [63450/160000] lr: 5.748e-06, eta: 15:44:35, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3444, decode.loss_mask: 0.5577, decode.loss_dice: 0.8420, decode.d0.loss_cls: 1.4648, decode.d0.loss_mask: 0.5938, decode.d0.loss_dice: 0.9429, decode.d1.loss_cls: 0.4398, decode.d1.loss_mask: 0.5796, decode.d1.loss_dice: 0.8908, decode.d2.loss_cls: 0.3879, decode.d2.loss_mask: 0.5713, decode.d2.loss_dice: 0.8636, decode.d3.loss_cls: 0.3701, decode.d3.loss_mask: 0.5630, decode.d3.loss_dice: 0.8462, decode.d4.loss_cls: 0.3674, decode.d4.loss_mask: 0.5609, decode.d4.loss_dice: 0.8454, decode.d5.loss_cls: 0.3538, decode.d5.loss_mask: 0.5604, decode.d5.loss_dice: 0.8436, decode.d6.loss_cls: 0.3573, decode.d6.loss_mask: 0.5601, decode.d6.loss_dice: 0.8414, decode.d7.loss_cls: 0.3507, decode.d7.loss_mask: 0.5579, decode.d7.loss_dice: 0.8420, decode.d8.loss_cls: 0.3459, decode.d8.loss_mask: 0.5607, decode.d8.loss_dice: 0.8463, loss: 19.0519, grad_norm: 77.2442 2023-11-22 07:36:42,026 - mmseg - INFO - Iter [63500/160000] lr: 5.745e-06, eta: 15:44:05, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3388, decode.loss_mask: 0.5379, decode.loss_dice: 0.7963, decode.d0.loss_cls: 1.4698, decode.d0.loss_mask: 0.5744, decode.d0.loss_dice: 0.9207, decode.d1.loss_cls: 0.4270, decode.d1.loss_mask: 0.5584, decode.d1.loss_dice: 0.8537, decode.d2.loss_cls: 0.3652, decode.d2.loss_mask: 0.5503, decode.d2.loss_dice: 0.8311, decode.d3.loss_cls: 0.3537, decode.d3.loss_mask: 0.5388, decode.d3.loss_dice: 0.8148, decode.d4.loss_cls: 0.3393, decode.d4.loss_mask: 0.5408, decode.d4.loss_dice: 0.8138, decode.d5.loss_cls: 0.3449, decode.d5.loss_mask: 0.5380, decode.d5.loss_dice: 0.8065, decode.d6.loss_cls: 0.3372, decode.d6.loss_mask: 0.5335, decode.d6.loss_dice: 0.8021, decode.d7.loss_cls: 0.3355, decode.d7.loss_mask: 0.5349, decode.d7.loss_dice: 0.8007, decode.d8.loss_cls: 0.3361, decode.d8.loss_mask: 0.5383, decode.d8.loss_dice: 0.8067, loss: 18.3392, grad_norm: 70.4932 2023-11-22 07:37:10,614 - mmseg - INFO - Iter [63550/160000] lr: 5.742e-06, eta: 15:43:34, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3363, decode.loss_mask: 0.5372, decode.loss_dice: 0.7870, decode.d0.loss_cls: 1.4661, decode.d0.loss_mask: 0.5730, decode.d0.loss_dice: 0.8987, decode.d1.loss_cls: 0.4338, decode.d1.loss_mask: 0.5624, decode.d1.loss_dice: 0.8455, decode.d2.loss_cls: 0.3704, decode.d2.loss_mask: 0.5471, decode.d2.loss_dice: 0.8152, decode.d3.loss_cls: 0.3547, decode.d3.loss_mask: 0.5446, decode.d3.loss_dice: 0.7995, decode.d4.loss_cls: 0.3501, decode.d4.loss_mask: 0.5427, decode.d4.loss_dice: 0.7965, decode.d5.loss_cls: 0.3402, decode.d5.loss_mask: 0.5383, decode.d5.loss_dice: 0.7892, decode.d6.loss_cls: 0.3464, decode.d6.loss_mask: 0.5382, decode.d6.loss_dice: 0.7838, decode.d7.loss_cls: 0.3344, decode.d7.loss_mask: 0.5381, decode.d7.loss_dice: 0.7883, decode.d8.loss_cls: 0.3364, decode.d8.loss_mask: 0.5387, decode.d8.loss_dice: 0.7845, loss: 18.2176, grad_norm: 75.1090 2023-11-22 07:37:39,067 - mmseg - INFO - Iter [63600/160000] lr: 5.739e-06, eta: 15:43:04, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3219, decode.loss_mask: 0.5369, decode.loss_dice: 0.8148, decode.d0.loss_cls: 1.4741, decode.d0.loss_mask: 0.5685, decode.d0.loss_dice: 0.9235, decode.d1.loss_cls: 0.4212, decode.d1.loss_mask: 0.5567, decode.d1.loss_dice: 0.8661, decode.d2.loss_cls: 0.3591, decode.d2.loss_mask: 0.5462, decode.d2.loss_dice: 0.8423, decode.d3.loss_cls: 0.3376, decode.d3.loss_mask: 0.5413, decode.d3.loss_dice: 0.8312, decode.d4.loss_cls: 0.3345, decode.d4.loss_mask: 0.5374, decode.d4.loss_dice: 0.8254, decode.d5.loss_cls: 0.3260, decode.d5.loss_mask: 0.5358, decode.d5.loss_dice: 0.8245, decode.d6.loss_cls: 0.3246, decode.d6.loss_mask: 0.5365, decode.d6.loss_dice: 0.8184, decode.d7.loss_cls: 0.3163, decode.d7.loss_mask: 0.5374, decode.d7.loss_dice: 0.8207, decode.d8.loss_cls: 0.3194, decode.d8.loss_mask: 0.5368, decode.d8.loss_dice: 0.8206, loss: 18.3561, grad_norm: 67.7218 2023-11-22 07:38:07,590 - mmseg - INFO - Iter [63650/160000] lr: 5.736e-06, eta: 15:42:33, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3124, decode.loss_mask: 0.5112, decode.loss_dice: 0.7728, decode.d0.loss_cls: 1.4663, decode.d0.loss_mask: 0.5458, decode.d0.loss_dice: 0.8887, decode.d1.loss_cls: 0.4108, decode.d1.loss_mask: 0.5333, decode.d1.loss_dice: 0.8253, decode.d2.loss_cls: 0.3579, decode.d2.loss_mask: 0.5205, decode.d2.loss_dice: 0.7998, decode.d3.loss_cls: 0.3318, decode.d3.loss_mask: 0.5144, decode.d3.loss_dice: 0.7812, decode.d4.loss_cls: 0.3250, decode.d4.loss_mask: 0.5134, decode.d4.loss_dice: 0.7801, decode.d5.loss_cls: 0.3236, decode.d5.loss_mask: 0.5126, decode.d5.loss_dice: 0.7743, decode.d6.loss_cls: 0.3229, decode.d6.loss_mask: 0.5128, decode.d6.loss_dice: 0.7756, decode.d7.loss_cls: 0.3094, decode.d7.loss_mask: 0.5123, decode.d7.loss_dice: 0.7794, decode.d8.loss_cls: 0.3150, decode.d8.loss_mask: 0.5093, decode.d8.loss_dice: 0.7753, loss: 17.6132, grad_norm: 76.1920 2023-11-22 07:38:36,014 - mmseg - INFO - Iter [63700/160000] lr: 5.733e-06, eta: 15:42:02, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3362, decode.loss_mask: 0.5310, decode.loss_dice: 0.8074, decode.d0.loss_cls: 1.4958, decode.d0.loss_mask: 0.5703, decode.d0.loss_dice: 0.9202, decode.d1.loss_cls: 0.4309, decode.d1.loss_mask: 0.5592, decode.d1.loss_dice: 0.8570, decode.d2.loss_cls: 0.3754, decode.d2.loss_mask: 0.5431, decode.d2.loss_dice: 0.8316, decode.d3.loss_cls: 0.3541, decode.d3.loss_mask: 0.5394, decode.d3.loss_dice: 0.8182, decode.d4.loss_cls: 0.3441, decode.d4.loss_mask: 0.5385, decode.d4.loss_dice: 0.8138, decode.d5.loss_cls: 0.3404, decode.d5.loss_mask: 0.5371, decode.d5.loss_dice: 0.8129, decode.d6.loss_cls: 0.3334, decode.d6.loss_mask: 0.5342, decode.d6.loss_dice: 0.8106, decode.d7.loss_cls: 0.3275, decode.d7.loss_mask: 0.5306, decode.d7.loss_dice: 0.8093, decode.d8.loss_cls: 0.3302, decode.d8.loss_mask: 0.5322, decode.d8.loss_dice: 0.8096, loss: 18.3744, grad_norm: 66.4521 2023-11-22 07:39:04,175 - mmseg - INFO - Iter [63750/160000] lr: 5.730e-06, eta: 15:41:31, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3395, decode.loss_mask: 0.5333, decode.loss_dice: 0.7988, decode.d0.loss_cls: 1.4846, decode.d0.loss_mask: 0.5707, decode.d0.loss_dice: 0.9108, decode.d1.loss_cls: 0.4345, decode.d1.loss_mask: 0.5535, decode.d1.loss_dice: 0.8501, decode.d2.loss_cls: 0.3806, decode.d2.loss_mask: 0.5423, decode.d2.loss_dice: 0.8266, decode.d3.loss_cls: 0.3598, decode.d3.loss_mask: 0.5376, decode.d3.loss_dice: 0.8028, decode.d4.loss_cls: 0.3562, decode.d4.loss_mask: 0.5376, decode.d4.loss_dice: 0.8077, decode.d5.loss_cls: 0.3485, decode.d5.loss_mask: 0.5345, decode.d5.loss_dice: 0.8041, decode.d6.loss_cls: 0.3517, decode.d6.loss_mask: 0.5328, decode.d6.loss_dice: 0.7969, decode.d7.loss_cls: 0.3427, decode.d7.loss_mask: 0.5330, decode.d7.loss_dice: 0.7944, decode.d8.loss_cls: 0.3417, decode.d8.loss_mask: 0.5339, decode.d8.loss_dice: 0.7985, loss: 18.3396, grad_norm: 73.8917 2023-11-22 07:39:32,559 - mmseg - INFO - Iter [63800/160000] lr: 5.727e-06, eta: 15:41:00, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3351, decode.loss_mask: 0.5411, decode.loss_dice: 0.8012, decode.d0.loss_cls: 1.4531, decode.d0.loss_mask: 0.5769, decode.d0.loss_dice: 0.9129, decode.d1.loss_cls: 0.4320, decode.d1.loss_mask: 0.5590, decode.d1.loss_dice: 0.8560, decode.d2.loss_cls: 0.3705, decode.d2.loss_mask: 0.5523, decode.d2.loss_dice: 0.8218, decode.d3.loss_cls: 0.3498, decode.d3.loss_mask: 0.5408, decode.d3.loss_dice: 0.8130, decode.d4.loss_cls: 0.3425, decode.d4.loss_mask: 0.5422, decode.d4.loss_dice: 0.8091, decode.d5.loss_cls: 0.3416, decode.d5.loss_mask: 0.5398, decode.d5.loss_dice: 0.8064, decode.d6.loss_cls: 0.3368, decode.d6.loss_mask: 0.5413, decode.d6.loss_dice: 0.8021, decode.d7.loss_cls: 0.3287, decode.d7.loss_mask: 0.5421, decode.d7.loss_dice: 0.8055, decode.d8.loss_cls: 0.3321, decode.d8.loss_mask: 0.5407, decode.d8.loss_dice: 0.8037, loss: 18.3299, grad_norm: 73.3198 2023-11-22 07:40:01,090 - mmseg - INFO - Iter [63850/160000] lr: 5.724e-06, eta: 15:40:30, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3299, decode.loss_mask: 0.5448, decode.loss_dice: 0.8042, decode.d0.loss_cls: 1.5322, decode.d0.loss_mask: 0.5827, decode.d0.loss_dice: 0.9062, decode.d1.loss_cls: 0.4332, decode.d1.loss_mask: 0.5687, decode.d1.loss_dice: 0.8463, decode.d2.loss_cls: 0.3734, decode.d2.loss_mask: 0.5560, decode.d2.loss_dice: 0.8283, decode.d3.loss_cls: 0.3514, decode.d3.loss_mask: 0.5539, decode.d3.loss_dice: 0.8139, decode.d4.loss_cls: 0.3463, decode.d4.loss_mask: 0.5505, decode.d4.loss_dice: 0.8096, decode.d5.loss_cls: 0.3408, decode.d5.loss_mask: 0.5484, decode.d5.loss_dice: 0.8032, decode.d6.loss_cls: 0.3383, decode.d6.loss_mask: 0.5459, decode.d6.loss_dice: 0.8035, decode.d7.loss_cls: 0.3363, decode.d7.loss_mask: 0.5438, decode.d7.loss_dice: 0.8033, decode.d8.loss_cls: 0.3322, decode.d8.loss_mask: 0.5464, decode.d8.loss_dice: 0.8000, loss: 18.4736, grad_norm: 67.6902 2023-11-22 07:40:29,325 - mmseg - INFO - Iter [63900/160000] lr: 5.721e-06, eta: 15:39:59, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3373, decode.loss_mask: 0.5394, decode.loss_dice: 0.8070, decode.d0.loss_cls: 1.4832, decode.d0.loss_mask: 0.5774, decode.d0.loss_dice: 0.9225, decode.d1.loss_cls: 0.4265, decode.d1.loss_mask: 0.5581, decode.d1.loss_dice: 0.8672, decode.d2.loss_cls: 0.3738, decode.d2.loss_mask: 0.5449, decode.d2.loss_dice: 0.8446, decode.d3.loss_cls: 0.3561, decode.d3.loss_mask: 0.5407, decode.d3.loss_dice: 0.8201, decode.d4.loss_cls: 0.3395, decode.d4.loss_mask: 0.5393, decode.d4.loss_dice: 0.8215, decode.d5.loss_cls: 0.3421, decode.d5.loss_mask: 0.5388, decode.d5.loss_dice: 0.8164, decode.d6.loss_cls: 0.3389, decode.d6.loss_mask: 0.5373, decode.d6.loss_dice: 0.8143, decode.d7.loss_cls: 0.3343, decode.d7.loss_mask: 0.5391, decode.d7.loss_dice: 0.8133, decode.d8.loss_cls: 0.3341, decode.d8.loss_mask: 0.5394, decode.d8.loss_dice: 0.8128, loss: 18.4598, grad_norm: 70.5824 2023-11-22 07:40:57,539 - mmseg - INFO - Iter [63950/160000] lr: 5.718e-06, eta: 15:39:28, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3213, decode.loss_mask: 0.5546, decode.loss_dice: 0.8143, decode.d0.loss_cls: 1.4257, decode.d0.loss_mask: 0.5844, decode.d0.loss_dice: 0.9157, decode.d1.loss_cls: 0.4164, decode.d1.loss_mask: 0.5745, decode.d1.loss_dice: 0.8565, decode.d2.loss_cls: 0.3565, decode.d2.loss_mask: 0.5637, decode.d2.loss_dice: 0.8371, decode.d3.loss_cls: 0.3370, decode.d3.loss_mask: 0.5573, decode.d3.loss_dice: 0.8212, decode.d4.loss_cls: 0.3309, decode.d4.loss_mask: 0.5560, decode.d4.loss_dice: 0.8168, decode.d5.loss_cls: 0.3265, decode.d5.loss_mask: 0.5566, decode.d5.loss_dice: 0.8125, decode.d6.loss_cls: 0.3258, decode.d6.loss_mask: 0.5545, decode.d6.loss_dice: 0.8155, decode.d7.loss_cls: 0.3222, decode.d7.loss_mask: 0.5551, decode.d7.loss_dice: 0.8150, decode.d8.loss_cls: 0.3159, decode.d8.loss_mask: 0.5555, decode.d8.loss_dice: 0.8202, loss: 18.4152, grad_norm: 77.4768 2023-11-22 07:41:25,703 - mmseg - INFO - Saving checkpoint at 64000 iterations 2023-11-22 07:41:33,945 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 07:41:33,946 - mmseg - INFO - Iter [64000/160000] lr: 5.715e-06, eta: 15:39:09, time: 0.728, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3103, decode.loss_mask: 0.5389, decode.loss_dice: 0.7893, decode.d0.loss_cls: 1.4460, decode.d0.loss_mask: 0.5743, decode.d0.loss_dice: 0.9042, decode.d1.loss_cls: 0.3933, decode.d1.loss_mask: 0.5608, decode.d1.loss_dice: 0.8450, decode.d2.loss_cls: 0.3478, decode.d2.loss_mask: 0.5492, decode.d2.loss_dice: 0.8206, decode.d3.loss_cls: 0.3323, decode.d3.loss_mask: 0.5415, decode.d3.loss_dice: 0.7985, decode.d4.loss_cls: 0.3238, decode.d4.loss_mask: 0.5415, decode.d4.loss_dice: 0.7989, decode.d5.loss_cls: 0.3124, decode.d5.loss_mask: 0.5426, decode.d5.loss_dice: 0.7966, decode.d6.loss_cls: 0.3121, decode.d6.loss_mask: 0.5405, decode.d6.loss_dice: 0.7931, decode.d7.loss_cls: 0.3065, decode.d7.loss_mask: 0.5415, decode.d7.loss_dice: 0.7912, decode.d8.loss_cls: 0.3095, decode.d8.loss_mask: 0.5412, decode.d8.loss_dice: 0.7946, loss: 17.9979, grad_norm: 71.7719 2023-11-22 07:41:53,488 - mmseg - INFO - per class results: 2023-11-22 07:41:53,494 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.86 | 86.96 | | building | 83.15 | 91.23 | | sky | 95.07 | 97.49 | | floor | 84.63 | 90.51 | | tree | 77.33 | 88.99 | | ceiling | 85.51 | 92.73 | | road | 86.59 | 91.64 | | bed | 91.27 | 95.26 | | windowpane | 63.33 | 81.36 | | grass | 66.19 | 75.61 | | cabinet | 62.19 | 71.88 | | sidewalk | 71.54 | 83.75 | | person | 86.34 | 93.8 | | earth | 37.84 | 57.52 | | door | 55.9 | 73.71 | | table | 69.16 | 86.26 | | mountain | 62.88 | 79.93 | | plant | 52.58 | 70.39 | | curtain | 77.74 | 87.39 | | chair | 66.48 | 78.18 | | car | 86.46 | 93.38 | | water | 51.98 | 65.54 | | painting | 74.35 | 89.41 | | sofa | 74.0 | 89.78 | | shelf | 42.8 | 56.0 | | house | 40.13 | 60.08 | | sea | 57.73 | 90.44 | | mirror | 74.19 | 85.08 | | rug | 68.86 | 83.28 | | field | 35.94 | 51.61 | | armchair | 54.01 | 71.43 | | seat | 65.0 | 87.54 | | fence | 51.03 | 64.56 | | desk | 56.93 | 77.14 | | rock | 40.0 | 53.64 | | wardrobe | 44.18 | 65.82 | | lamp | 71.52 | 84.82 | | bathtub | 74.77 | 86.94 | | railing | 40.44 | 63.43 | | cushion | 66.19 | 76.56 | | base | 46.95 | 74.7 | | box | 35.52 | 48.19 | | column | 50.52 | 74.52 | | signboard | 44.01 | 62.43 | | chest of drawers | 42.4 | 74.4 | | counter | 42.12 | 47.54 | | sand | 36.1 | 52.13 | | sink | 75.17 | 90.75 | | skyscraper | 58.98 | 77.02 | | fireplace | 78.3 | 90.53 | | refrigerator | 78.79 | 93.32 | | grandstand | 51.23 | 74.46 | | path | 24.06 | 36.35 | | stairs | 42.66 | 51.95 | | runway | 77.19 | 97.64 | | case | 60.71 | 87.27 | | pool table | 94.29 | 97.46 | | pillow | 64.05 | 77.22 | | screen door | 75.63 | 86.72 | | stairway | 39.82 | 48.11 | | river | 14.26 | 19.94 | | bridge | 75.14 | 89.5 | | bookcase | 26.58 | 47.23 | | blind | 47.14 | 57.29 | | coffee table | 68.55 | 77.84 | | toilet | 88.69 | 90.87 | | flower | 45.51 | 61.85 | | book | 52.56 | 79.95 | | hill | 9.95 | 15.97 | | bench | 64.98 | 72.32 | | countertop | 67.52 | 82.18 | | stove | 83.61 | 88.06 | | palm | 55.71 | 82.11 | | kitchen island | 44.07 | 73.44 | | computer | 72.49 | 81.45 | | swivel chair | 55.61 | 81.98 | | boat | 62.63 | 93.88 | | bar | 67.7 | 76.59 | | arcade machine | 88.32 | 95.58 | | hovel | 46.1 | 75.25 | | bus | 93.88 | 96.96 | | towel | 79.78 | 89.5 | | light | 65.14 | 80.38 | | truck | 47.13 | 61.56 | | tower | 42.63 | 79.95 | | chandelier | 70.12 | 85.83 | | awning | 37.84 | 51.69 | | streetlight | 43.87 | 68.02 | | booth | 59.25 | 64.49 | | television receiver | 76.89 | 88.86 | | airplane | 65.96 | 70.71 | | dirt track | 11.34 | 46.36 | | apparel | 47.8 | 70.55 | | pole | 34.53 | 54.95 | | land | 4.29 | 6.93 | | bannister | 19.11 | 28.03 | | escalator | 24.64 | 25.52 | | ottoman | 49.39 | 70.67 | | bottle | 44.68 | 80.03 | | buffet | 43.35 | 61.98 | | poster | 33.93 | 46.57 | | stage | 14.67 | 48.88 | | van | 37.7 | 55.86 | | ship | 3.57 | 6.71 | | fountain | 21.43 | 21.87 | | conveyer belt | 71.9 | 95.03 | | canopy | 32.49 | 68.25 | | washer | 72.03 | 75.94 | | plaything | 33.82 | 58.56 | | swimming pool | 69.48 | 70.02 | | stool | 48.12 | 75.6 | | barrel | 88.75 | 98.05 | | basket | 44.09 | 61.75 | | waterfall | 75.22 | 91.51 | | tent | 94.86 | 98.25 | | bag | 32.69 | 44.59 | | minibike | 72.72 | 90.75 | | cradle | 86.3 | 97.71 | | oven | 64.47 | 83.18 | | ball | 19.56 | 58.89 | | food | 59.79 | 64.52 | | step | 30.6 | 43.48 | | tank | 49.0 | 63.17 | | trade name | 28.98 | 37.57 | | microwave | 76.92 | 81.54 | | pot | 55.39 | 69.69 | | animal | 72.77 | 74.67 | | bicycle | 61.1 | 83.91 | | lake | 0.0 | 0.0 | | dishwasher | 84.57 | 89.85 | | screen | 46.93 | 87.3 | | blanket | 39.12 | 52.44 | | sculpture | 56.83 | 87.58 | | hood | 70.64 | 77.54 | | sconce | 62.2 | 73.97 | | vase | 54.17 | 76.71 | | traffic light | 47.29 | 74.11 | | tray | 21.78 | 29.94 | | ashcan | 48.07 | 72.46 | | fan | 70.28 | 81.88 | | pier | 37.8 | 39.09 | | crt screen | 3.82 | 10.24 | | plate | 65.58 | 84.85 | | monitor | 1.64 | 2.11 | | bulletin board | 55.98 | 75.16 | | shower | 8.8 | 27.11 | | radiator | 67.1 | 86.42 | | glass | 25.66 | 29.55 | | clock | 50.97 | 63.3 | | flag | 76.67 | 85.81 | +---------------------+-------+-------+ 2023-11-22 07:41:53,494 - mmseg - INFO - Summary: 2023-11-22 07:41:53,494 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.82 | 55.28 | 70.09 | +-------+-------+-------+ 2023-11-22 07:41:53,660 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_l_640_160k_ade20k_ss/best_mIoU_iter_60000.pth was removed 2023-11-22 07:42:01,017 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_64000.pth. 2023-11-22 07:42:01,018 - mmseg - INFO - Best mIoU is 0.5528 at 64000 iter. 2023-11-22 07:42:01,018 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 07:42:01,018 - mmseg - INFO - Iter(val) [250] aAcc: 0.8482, mIoU: 0.5528, mAcc: 0.7009, IoU.wall: 0.8086, IoU.building: 0.8315, IoU.sky: 0.9507, IoU.floor: 0.8463, IoU.tree: 0.7733, IoU.ceiling: 0.8551, IoU.road: 0.8659, IoU.bed : 0.9127, IoU.windowpane: 0.6333, IoU.grass: 0.6619, IoU.cabinet: 0.6219, IoU.sidewalk: 0.7154, IoU.person: 0.8634, IoU.earth: 0.3784, IoU.door: 0.5590, IoU.table: 0.6916, IoU.mountain: 0.6288, IoU.plant: 0.5258, IoU.curtain: 0.7774, IoU.chair: 0.6648, IoU.car: 0.8646, IoU.water: 0.5198, IoU.painting: 0.7435, IoU.sofa: 0.7400, IoU.shelf: 0.4280, IoU.house: 0.4013, IoU.sea: 0.5773, IoU.mirror: 0.7419, IoU.rug: 0.6886, IoU.field: 0.3594, IoU.armchair: 0.5401, IoU.seat: 0.6500, IoU.fence: 0.5103, IoU.desk: 0.5693, IoU.rock: 0.4000, IoU.wardrobe: 0.4418, IoU.lamp: 0.7152, IoU.bathtub: 0.7477, IoU.railing: 0.4044, IoU.cushion: 0.6619, IoU.base: 0.4695, IoU.box: 0.3552, IoU.column: 0.5052, IoU.signboard: 0.4401, IoU.chest of drawers: 0.4240, IoU.counter: 0.4212, IoU.sand: 0.3610, IoU.sink: 0.7517, IoU.skyscraper: 0.5898, IoU.fireplace: 0.7830, IoU.refrigerator: 0.7879, IoU.grandstand: 0.5123, IoU.path: 0.2406, IoU.stairs: 0.4266, IoU.runway: 0.7719, IoU.case: 0.6071, IoU.pool table: 0.9429, IoU.pillow: 0.6405, IoU.screen door: 0.7563, IoU.stairway: 0.3982, IoU.river: 0.1426, IoU.bridge: 0.7514, IoU.bookcase: 0.2658, IoU.blind: 0.4714, IoU.coffee table: 0.6855, IoU.toilet: 0.8869, IoU.flower: 0.4551, IoU.book: 0.5256, IoU.hill: 0.0995, IoU.bench: 0.6498, IoU.countertop: 0.6752, IoU.stove: 0.8361, IoU.palm: 0.5571, IoU.kitchen island: 0.4407, IoU.computer: 0.7249, IoU.swivel chair: 0.5561, IoU.boat: 0.6263, IoU.bar: 0.6770, IoU.arcade machine: 0.8832, IoU.hovel: 0.4610, IoU.bus: 0.9388, IoU.towel: 0.7978, IoU.light: 0.6514, IoU.truck: 0.4713, IoU.tower: 0.4263, IoU.chandelier: 0.7012, IoU.awning: 0.3784, IoU.streetlight: 0.4387, IoU.booth: 0.5925, IoU.television receiver: 0.7689, IoU.airplane: 0.6596, IoU.dirt track: 0.1134, IoU.apparel: 0.4780, IoU.pole: 0.3453, IoU.land: 0.0429, IoU.bannister: 0.1911, IoU.escalator: 0.2464, IoU.ottoman: 0.4939, IoU.bottle: 0.4468, IoU.buffet: 0.4335, IoU.poster: 0.3393, IoU.stage: 0.1467, IoU.van: 0.3770, IoU.ship: 0.0357, IoU.fountain: 0.2143, IoU.conveyer belt: 0.7190, IoU.canopy: 0.3249, IoU.washer: 0.7203, IoU.plaything: 0.3382, IoU.swimming pool: 0.6948, IoU.stool: 0.4812, IoU.barrel: 0.8875, IoU.basket: 0.4409, IoU.waterfall: 0.7522, IoU.tent: 0.9486, IoU.bag: 0.3269, IoU.minibike: 0.7272, IoU.cradle: 0.8630, IoU.oven: 0.6447, IoU.ball: 0.1956, IoU.food: 0.5979, IoU.step: 0.3060, IoU.tank: 0.4900, IoU.trade name: 0.2898, IoU.microwave: 0.7692, IoU.pot: 0.5539, IoU.animal: 0.7277, IoU.bicycle: 0.6110, IoU.lake: 0.0000, IoU.dishwasher: 0.8457, IoU.screen: 0.4693, IoU.blanket: 0.3912, IoU.sculpture: 0.5683, IoU.hood: 0.7064, IoU.sconce: 0.6220, IoU.vase: 0.5417, IoU.traffic light: 0.4729, IoU.tray: 0.2178, IoU.ashcan: 0.4807, IoU.fan: 0.7028, IoU.pier: 0.3780, IoU.crt screen: 0.0382, IoU.plate: 0.6558, IoU.monitor: 0.0164, IoU.bulletin board: 0.5598, IoU.shower: 0.0880, IoU.radiator: 0.6710, IoU.glass: 0.2566, IoU.clock: 0.5097, IoU.flag: 0.7667, Acc.wall: 0.8696, Acc.building: 0.9123, Acc.sky: 0.9749, Acc.floor: 0.9051, Acc.tree: 0.8899, Acc.ceiling: 0.9273, Acc.road: 0.9164, Acc.bed : 0.9526, Acc.windowpane: 0.8136, Acc.grass: 0.7561, Acc.cabinet: 0.7188, Acc.sidewalk: 0.8375, Acc.person: 0.9380, Acc.earth: 0.5752, Acc.door: 0.7371, Acc.table: 0.8626, Acc.mountain: 0.7993, Acc.plant: 0.7039, Acc.curtain: 0.8739, Acc.chair: 0.7818, Acc.car: 0.9338, Acc.water: 0.6554, Acc.painting: 0.8941, Acc.sofa: 0.8978, Acc.shelf: 0.5600, Acc.house: 0.6008, Acc.sea: 0.9044, Acc.mirror: 0.8508, Acc.rug: 0.8328, Acc.field: 0.5161, Acc.armchair: 0.7143, Acc.seat: 0.8754, Acc.fence: 0.6456, Acc.desk: 0.7714, Acc.rock: 0.5364, Acc.wardrobe: 0.6582, Acc.lamp: 0.8482, Acc.bathtub: 0.8694, Acc.railing: 0.6343, Acc.cushion: 0.7656, Acc.base: 0.7470, Acc.box: 0.4819, Acc.column: 0.7452, Acc.signboard: 0.6243, Acc.chest of drawers: 0.7440, Acc.counter: 0.4754, Acc.sand: 0.5213, Acc.sink: 0.9075, Acc.skyscraper: 0.7702, Acc.fireplace: 0.9053, Acc.refrigerator: 0.9332, Acc.grandstand: 0.7446, Acc.path: 0.3635, Acc.stairs: 0.5195, Acc.runway: 0.9764, Acc.case: 0.8727, Acc.pool table: 0.9746, Acc.pillow: 0.7722, Acc.screen door: 0.8672, Acc.stairway: 0.4811, Acc.river: 0.1994, Acc.bridge: 0.8950, Acc.bookcase: 0.4723, Acc.blind: 0.5729, Acc.coffee table: 0.7784, Acc.toilet: 0.9087, Acc.flower: 0.6185, Acc.book: 0.7995, Acc.hill: 0.1597, Acc.bench: 0.7232, Acc.countertop: 0.8218, Acc.stove: 0.8806, Acc.palm: 0.8211, Acc.kitchen island: 0.7344, Acc.computer: 0.8145, Acc.swivel chair: 0.8198, Acc.boat: 0.9388, Acc.bar: 0.7659, Acc.arcade machine: 0.9558, Acc.hovel: 0.7525, Acc.bus: 0.9696, Acc.towel: 0.8950, Acc.light: 0.8038, Acc.truck: 0.6156, Acc.tower: 0.7995, Acc.chandelier: 0.8583, Acc.awning: 0.5169, Acc.streetlight: 0.6802, Acc.booth: 0.6449, Acc.television receiver: 0.8886, Acc.airplane: 0.7071, Acc.dirt track: 0.4636, Acc.apparel: 0.7055, Acc.pole: 0.5495, Acc.land: 0.0693, Acc.bannister: 0.2803, Acc.escalator: 0.2552, Acc.ottoman: 0.7067, Acc.bottle: 0.8003, Acc.buffet: 0.6198, Acc.poster: 0.4657, Acc.stage: 0.4888, Acc.van: 0.5586, Acc.ship: 0.0671, Acc.fountain: 0.2187, Acc.conveyer belt: 0.9503, Acc.canopy: 0.6825, Acc.washer: 0.7594, Acc.plaything: 0.5856, Acc.swimming pool: 0.7002, Acc.stool: 0.7560, Acc.barrel: 0.9805, Acc.basket: 0.6175, Acc.waterfall: 0.9151, Acc.tent: 0.9825, Acc.bag: 0.4459, Acc.minibike: 0.9075, Acc.cradle: 0.9771, Acc.oven: 0.8318, Acc.ball: 0.5889, Acc.food: 0.6452, Acc.step: 0.4348, Acc.tank: 0.6317, Acc.trade name: 0.3757, Acc.microwave: 0.8154, Acc.pot: 0.6969, Acc.animal: 0.7467, Acc.bicycle: 0.8391, Acc.lake: 0.0000, Acc.dishwasher: 0.8985, Acc.screen: 0.8730, Acc.blanket: 0.5244, Acc.sculpture: 0.8758, Acc.hood: 0.7754, Acc.sconce: 0.7397, Acc.vase: 0.7671, Acc.traffic light: 0.7411, Acc.tray: 0.2994, Acc.ashcan: 0.7246, Acc.fan: 0.8188, Acc.pier: 0.3909, Acc.crt screen: 0.1024, Acc.plate: 0.8485, Acc.monitor: 0.0211, Acc.bulletin board: 0.7516, Acc.shower: 0.2711, Acc.radiator: 0.8642, Acc.glass: 0.2955, Acc.clock: 0.6330, Acc.flag: 0.8581 2023-11-22 07:42:29,524 - mmseg - INFO - Iter [64050/160000] lr: 5.712e-06, eta: 15:39:19, time: 1.112, data_time: 0.555, memory: 38143, decode.loss_cls: 0.3169, decode.loss_mask: 0.5462, decode.loss_dice: 0.7966, decode.d0.loss_cls: 1.4578, decode.d0.loss_mask: 0.5799, decode.d0.loss_dice: 0.8971, decode.d1.loss_cls: 0.3929, decode.d1.loss_mask: 0.5732, decode.d1.loss_dice: 0.8469, decode.d2.loss_cls: 0.3549, decode.d2.loss_mask: 0.5556, decode.d2.loss_dice: 0.8240, decode.d3.loss_cls: 0.3379, decode.d3.loss_mask: 0.5448, decode.d3.loss_dice: 0.8036, decode.d4.loss_cls: 0.3248, decode.d4.loss_mask: 0.5456, decode.d4.loss_dice: 0.8041, decode.d5.loss_cls: 0.3224, decode.d5.loss_mask: 0.5454, decode.d5.loss_dice: 0.7971, decode.d6.loss_cls: 0.3247, decode.d6.loss_mask: 0.5459, decode.d6.loss_dice: 0.7939, decode.d7.loss_cls: 0.3159, decode.d7.loss_mask: 0.5460, decode.d7.loss_dice: 0.7973, decode.d8.loss_cls: 0.3104, decode.d8.loss_mask: 0.5469, decode.d8.loss_dice: 0.8003, loss: 18.1491, grad_norm: 73.0805 2023-11-22 07:42:57,919 - mmseg - INFO - Iter [64100/160000] lr: 5.709e-06, eta: 15:38:48, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3147, decode.loss_mask: 0.5307, decode.loss_dice: 0.7936, decode.d0.loss_cls: 1.4367, decode.d0.loss_mask: 0.5672, decode.d0.loss_dice: 0.8985, decode.d1.loss_cls: 0.3991, decode.d1.loss_mask: 0.5542, decode.d1.loss_dice: 0.8492, decode.d2.loss_cls: 0.3573, decode.d2.loss_mask: 0.5423, decode.d2.loss_dice: 0.8187, decode.d3.loss_cls: 0.3352, decode.d3.loss_mask: 0.5342, decode.d3.loss_dice: 0.7968, decode.d4.loss_cls: 0.3249, decode.d4.loss_mask: 0.5313, decode.d4.loss_dice: 0.8009, decode.d5.loss_cls: 0.3255, decode.d5.loss_mask: 0.5312, decode.d5.loss_dice: 0.8018, decode.d6.loss_cls: 0.3191, decode.d6.loss_mask: 0.5306, decode.d6.loss_dice: 0.7981, decode.d7.loss_cls: 0.3144, decode.d7.loss_mask: 0.5308, decode.d7.loss_dice: 0.7916, decode.d8.loss_cls: 0.3147, decode.d8.loss_mask: 0.5314, decode.d8.loss_dice: 0.7900, loss: 17.9647, grad_norm: 75.9361 2023-11-22 07:43:26,405 - mmseg - INFO - Iter [64150/160000] lr: 5.706e-06, eta: 15:38:17, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3361, decode.loss_mask: 0.5480, decode.loss_dice: 0.8064, decode.d0.loss_cls: 1.4704, decode.d0.loss_mask: 0.5924, decode.d0.loss_dice: 0.9014, decode.d1.loss_cls: 0.4228, decode.d1.loss_mask: 0.5729, decode.d1.loss_dice: 0.8546, decode.d2.loss_cls: 0.3676, decode.d2.loss_mask: 0.5633, decode.d2.loss_dice: 0.8315, decode.d3.loss_cls: 0.3467, decode.d3.loss_mask: 0.5555, decode.d3.loss_dice: 0.8133, decode.d4.loss_cls: 0.3477, decode.d4.loss_mask: 0.5535, decode.d4.loss_dice: 0.8119, decode.d5.loss_cls: 0.3396, decode.d5.loss_mask: 0.5503, decode.d5.loss_dice: 0.8101, decode.d6.loss_cls: 0.3433, decode.d6.loss_mask: 0.5486, decode.d6.loss_dice: 0.8051, decode.d7.loss_cls: 0.3360, decode.d7.loss_mask: 0.5461, decode.d7.loss_dice: 0.8048, decode.d8.loss_cls: 0.3295, decode.d8.loss_mask: 0.5487, decode.d8.loss_dice: 0.8056, loss: 18.4637, grad_norm: 74.4920 2023-11-22 07:43:54,751 - mmseg - INFO - Iter [64200/160000] lr: 5.703e-06, eta: 15:37:47, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3218, decode.loss_mask: 0.5422, decode.loss_dice: 0.7796, decode.d0.loss_cls: 1.4449, decode.d0.loss_mask: 0.5832, decode.d0.loss_dice: 0.8885, decode.d1.loss_cls: 0.4181, decode.d1.loss_mask: 0.5664, decode.d1.loss_dice: 0.8198, decode.d2.loss_cls: 0.3685, decode.d2.loss_mask: 0.5536, decode.d2.loss_dice: 0.7994, decode.d3.loss_cls: 0.3439, decode.d3.loss_mask: 0.5460, decode.d3.loss_dice: 0.7847, decode.d4.loss_cls: 0.3349, decode.d4.loss_mask: 0.5452, decode.d4.loss_dice: 0.7807, decode.d5.loss_cls: 0.3278, decode.d5.loss_mask: 0.5460, decode.d5.loss_dice: 0.7820, decode.d6.loss_cls: 0.3295, decode.d6.loss_mask: 0.5430, decode.d6.loss_dice: 0.7732, decode.d7.loss_cls: 0.3214, decode.d7.loss_mask: 0.5437, decode.d7.loss_dice: 0.7748, decode.d8.loss_cls: 0.3251, decode.d8.loss_mask: 0.5426, decode.d8.loss_dice: 0.7784, loss: 18.0090, grad_norm: 74.1877 2023-11-22 07:44:23,102 - mmseg - INFO - Iter [64250/160000] lr: 5.700e-06, eta: 15:37:16, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3315, decode.loss_mask: 0.5349, decode.loss_dice: 0.8079, decode.d0.loss_cls: 1.4840, decode.d0.loss_mask: 0.5615, decode.d0.loss_dice: 0.9073, decode.d1.loss_cls: 0.4296, decode.d1.loss_mask: 0.5487, decode.d1.loss_dice: 0.8543, decode.d2.loss_cls: 0.3751, decode.d2.loss_mask: 0.5416, decode.d2.loss_dice: 0.8263, decode.d3.loss_cls: 0.3442, decode.d3.loss_mask: 0.5361, decode.d3.loss_dice: 0.8113, decode.d4.loss_cls: 0.3405, decode.d4.loss_mask: 0.5362, decode.d4.loss_dice: 0.8096, decode.d5.loss_cls: 0.3374, decode.d5.loss_mask: 0.5346, decode.d5.loss_dice: 0.8084, decode.d6.loss_cls: 0.3342, decode.d6.loss_mask: 0.5355, decode.d6.loss_dice: 0.8049, decode.d7.loss_cls: 0.3283, decode.d7.loss_mask: 0.5347, decode.d7.loss_dice: 0.8068, decode.d8.loss_cls: 0.3274, decode.d8.loss_mask: 0.5334, decode.d8.loss_dice: 0.8140, loss: 18.2801, grad_norm: 67.6094 2023-11-22 07:44:51,324 - mmseg - INFO - Iter [64300/160000] lr: 5.697e-06, eta: 15:36:45, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3236, decode.loss_mask: 0.5385, decode.loss_dice: 0.7884, decode.d0.loss_cls: 1.4587, decode.d0.loss_mask: 0.5752, decode.d0.loss_dice: 0.8924, decode.d1.loss_cls: 0.4228, decode.d1.loss_mask: 0.5612, decode.d1.loss_dice: 0.8394, decode.d2.loss_cls: 0.3696, decode.d2.loss_mask: 0.5491, decode.d2.loss_dice: 0.8124, decode.d3.loss_cls: 0.3406, decode.d3.loss_mask: 0.5432, decode.d3.loss_dice: 0.7982, decode.d4.loss_cls: 0.3407, decode.d4.loss_mask: 0.5364, decode.d4.loss_dice: 0.7938, decode.d5.loss_cls: 0.3320, decode.d5.loss_mask: 0.5403, decode.d5.loss_dice: 0.7949, decode.d6.loss_cls: 0.3323, decode.d6.loss_mask: 0.5377, decode.d6.loss_dice: 0.7849, decode.d7.loss_cls: 0.3261, decode.d7.loss_mask: 0.5372, decode.d7.loss_dice: 0.7869, decode.d8.loss_cls: 0.3254, decode.d8.loss_mask: 0.5371, decode.d8.loss_dice: 0.7899, loss: 18.1090, grad_norm: 69.9831 2023-11-22 07:45:19,680 - mmseg - INFO - Iter [64350/160000] lr: 5.694e-06, eta: 15:36:14, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3315, decode.loss_mask: 0.5559, decode.loss_dice: 0.8127, decode.d0.loss_cls: 1.4358, decode.d0.loss_mask: 0.5969, decode.d0.loss_dice: 0.9162, decode.d1.loss_cls: 0.4143, decode.d1.loss_mask: 0.5741, decode.d1.loss_dice: 0.8617, decode.d2.loss_cls: 0.3589, decode.d2.loss_mask: 0.5614, decode.d2.loss_dice: 0.8392, decode.d3.loss_cls: 0.3423, decode.d3.loss_mask: 0.5582, decode.d3.loss_dice: 0.8240, decode.d4.loss_cls: 0.3335, decode.d4.loss_mask: 0.5606, decode.d4.loss_dice: 0.8204, decode.d5.loss_cls: 0.3349, decode.d5.loss_mask: 0.5569, decode.d5.loss_dice: 0.8163, decode.d6.loss_cls: 0.3308, decode.d6.loss_mask: 0.5575, decode.d6.loss_dice: 0.8097, decode.d7.loss_cls: 0.3241, decode.d7.loss_mask: 0.5570, decode.d7.loss_dice: 0.8141, decode.d8.loss_cls: 0.3274, decode.d8.loss_mask: 0.5581, decode.d8.loss_dice: 0.8186, loss: 18.5028, grad_norm: 75.3165 2023-11-22 07:45:48,118 - mmseg - INFO - Iter [64400/160000] lr: 5.691e-06, eta: 15:35:43, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3298, decode.loss_mask: 0.5422, decode.loss_dice: 0.8053, decode.d0.loss_cls: 1.4460, decode.d0.loss_mask: 0.5829, decode.d0.loss_dice: 0.9206, decode.d1.loss_cls: 0.4169, decode.d1.loss_mask: 0.5696, decode.d1.loss_dice: 0.8566, decode.d2.loss_cls: 0.3641, decode.d2.loss_mask: 0.5546, decode.d2.loss_dice: 0.8325, decode.d3.loss_cls: 0.3526, decode.d3.loss_mask: 0.5486, decode.d3.loss_dice: 0.8158, decode.d4.loss_cls: 0.3437, decode.d4.loss_mask: 0.5460, decode.d4.loss_dice: 0.8157, decode.d5.loss_cls: 0.3414, decode.d5.loss_mask: 0.5439, decode.d5.loss_dice: 0.8122, decode.d6.loss_cls: 0.3372, decode.d6.loss_mask: 0.5424, decode.d6.loss_dice: 0.8018, decode.d7.loss_cls: 0.3329, decode.d7.loss_mask: 0.5438, decode.d7.loss_dice: 0.8078, decode.d8.loss_cls: 0.3334, decode.d8.loss_mask: 0.5423, decode.d8.loss_dice: 0.8081, loss: 18.3908, grad_norm: 69.7262 2023-11-22 07:46:18,907 - mmseg - INFO - Iter [64450/160000] lr: 5.688e-06, eta: 15:35:16, time: 0.616, data_time: 0.058, memory: 38143, decode.loss_cls: 0.3296, decode.loss_mask: 0.5680, decode.loss_dice: 0.7964, decode.d0.loss_cls: 1.4302, decode.d0.loss_mask: 0.5984, decode.d0.loss_dice: 0.9056, decode.d1.loss_cls: 0.4156, decode.d1.loss_mask: 0.5849, decode.d1.loss_dice: 0.8473, decode.d2.loss_cls: 0.3668, decode.d2.loss_mask: 0.5768, decode.d2.loss_dice: 0.8158, decode.d3.loss_cls: 0.3401, decode.d3.loss_mask: 0.5732, decode.d3.loss_dice: 0.8048, decode.d4.loss_cls: 0.3399, decode.d4.loss_mask: 0.5719, decode.d4.loss_dice: 0.8047, decode.d5.loss_cls: 0.3353, decode.d5.loss_mask: 0.5688, decode.d5.loss_dice: 0.8005, decode.d6.loss_cls: 0.3277, decode.d6.loss_mask: 0.5693, decode.d6.loss_dice: 0.7983, decode.d7.loss_cls: 0.3288, decode.d7.loss_mask: 0.5699, decode.d7.loss_dice: 0.7998, decode.d8.loss_cls: 0.3295, decode.d8.loss_mask: 0.5679, decode.d8.loss_dice: 0.8039, loss: 18.4698, grad_norm: 75.0322 2023-11-22 07:46:47,261 - mmseg - INFO - Iter [64500/160000] lr: 5.685e-06, eta: 15:34:45, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3242, decode.loss_mask: 0.5344, decode.loss_dice: 0.8082, decode.d0.loss_cls: 1.5049, decode.d0.loss_mask: 0.5694, decode.d0.loss_dice: 0.9072, decode.d1.loss_cls: 0.4222, decode.d1.loss_mask: 0.5548, decode.d1.loss_dice: 0.8584, decode.d2.loss_cls: 0.3714, decode.d2.loss_mask: 0.5408, decode.d2.loss_dice: 0.8232, decode.d3.loss_cls: 0.3455, decode.d3.loss_mask: 0.5351, decode.d3.loss_dice: 0.8100, decode.d4.loss_cls: 0.3352, decode.d4.loss_mask: 0.5357, decode.d4.loss_dice: 0.8162, decode.d5.loss_cls: 0.3300, decode.d5.loss_mask: 0.5352, decode.d5.loss_dice: 0.8092, decode.d6.loss_cls: 0.3293, decode.d6.loss_mask: 0.5344, decode.d6.loss_dice: 0.8024, decode.d7.loss_cls: 0.3199, decode.d7.loss_mask: 0.5348, decode.d7.loss_dice: 0.8140, decode.d8.loss_cls: 0.3215, decode.d8.loss_mask: 0.5386, decode.d8.loss_dice: 0.8088, loss: 18.2750, grad_norm: 76.7842 2023-11-22 07:47:15,706 - mmseg - INFO - Iter [64550/160000] lr: 5.682e-06, eta: 15:34:14, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2984, decode.loss_mask: 0.5310, decode.loss_dice: 0.7828, decode.d0.loss_cls: 1.4480, decode.d0.loss_mask: 0.5655, decode.d0.loss_dice: 0.8864, decode.d1.loss_cls: 0.3944, decode.d1.loss_mask: 0.5514, decode.d1.loss_dice: 0.8288, decode.d2.loss_cls: 0.3408, decode.d2.loss_mask: 0.5412, decode.d2.loss_dice: 0.8077, decode.d3.loss_cls: 0.3241, decode.d3.loss_mask: 0.5331, decode.d3.loss_dice: 0.7863, decode.d4.loss_cls: 0.3121, decode.d4.loss_mask: 0.5342, decode.d4.loss_dice: 0.7936, decode.d5.loss_cls: 0.3100, decode.d5.loss_mask: 0.5322, decode.d5.loss_dice: 0.7882, decode.d6.loss_cls: 0.3071, decode.d6.loss_mask: 0.5295, decode.d6.loss_dice: 0.7838, decode.d7.loss_cls: 0.3015, decode.d7.loss_mask: 0.5327, decode.d7.loss_dice: 0.7860, decode.d8.loss_cls: 0.2997, decode.d8.loss_mask: 0.5316, decode.d8.loss_dice: 0.7856, loss: 17.7477, grad_norm: 69.5272 2023-11-22 07:47:43,902 - mmseg - INFO - Iter [64600/160000] lr: 5.679e-06, eta: 15:33:43, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3210, decode.loss_mask: 0.5160, decode.loss_dice: 0.7812, decode.d0.loss_cls: 1.4435, decode.d0.loss_mask: 0.5508, decode.d0.loss_dice: 0.8848, decode.d1.loss_cls: 0.4176, decode.d1.loss_mask: 0.5343, decode.d1.loss_dice: 0.8288, decode.d2.loss_cls: 0.3674, decode.d2.loss_mask: 0.5211, decode.d2.loss_dice: 0.8003, decode.d3.loss_cls: 0.3455, decode.d3.loss_mask: 0.5183, decode.d3.loss_dice: 0.7877, decode.d4.loss_cls: 0.3339, decode.d4.loss_mask: 0.5174, decode.d4.loss_dice: 0.7886, decode.d5.loss_cls: 0.3278, decode.d5.loss_mask: 0.5184, decode.d5.loss_dice: 0.7867, decode.d6.loss_cls: 0.3315, decode.d6.loss_mask: 0.5167, decode.d6.loss_dice: 0.7771, decode.d7.loss_cls: 0.3260, decode.d7.loss_mask: 0.5152, decode.d7.loss_dice: 0.7804, decode.d8.loss_cls: 0.3251, decode.d8.loss_mask: 0.5159, decode.d8.loss_dice: 0.7797, loss: 17.7586, grad_norm: 68.5857 2023-11-22 07:48:12,368 - mmseg - INFO - Iter [64650/160000] lr: 5.676e-06, eta: 15:33:12, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3130, decode.loss_mask: 0.5379, decode.loss_dice: 0.7927, decode.d0.loss_cls: 1.4349, decode.d0.loss_mask: 0.5740, decode.d0.loss_dice: 0.8962, decode.d1.loss_cls: 0.3988, decode.d1.loss_mask: 0.5588, decode.d1.loss_dice: 0.8454, decode.d2.loss_cls: 0.3475, decode.d2.loss_mask: 0.5431, decode.d2.loss_dice: 0.8181, decode.d3.loss_cls: 0.3309, decode.d3.loss_mask: 0.5406, decode.d3.loss_dice: 0.8039, decode.d4.loss_cls: 0.3179, decode.d4.loss_mask: 0.5421, decode.d4.loss_dice: 0.8070, decode.d5.loss_cls: 0.3171, decode.d5.loss_mask: 0.5384, decode.d5.loss_dice: 0.8025, decode.d6.loss_cls: 0.3166, decode.d6.loss_mask: 0.5390, decode.d6.loss_dice: 0.7974, decode.d7.loss_cls: 0.3138, decode.d7.loss_mask: 0.5392, decode.d7.loss_dice: 0.7988, decode.d8.loss_cls: 0.3121, decode.d8.loss_mask: 0.5393, decode.d8.loss_dice: 0.8022, loss: 18.0191, grad_norm: 76.8816 2023-11-22 07:48:40,817 - mmseg - INFO - Iter [64700/160000] lr: 5.673e-06, eta: 15:32:42, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3223, decode.loss_mask: 0.5610, decode.loss_dice: 0.8151, decode.d0.loss_cls: 1.4285, decode.d0.loss_mask: 0.5956, decode.d0.loss_dice: 0.9123, decode.d1.loss_cls: 0.4173, decode.d1.loss_mask: 0.5742, decode.d1.loss_dice: 0.8619, decode.d2.loss_cls: 0.3665, decode.d2.loss_mask: 0.5724, decode.d2.loss_dice: 0.8343, decode.d3.loss_cls: 0.3478, decode.d3.loss_mask: 0.5641, decode.d3.loss_dice: 0.8219, decode.d4.loss_cls: 0.3419, decode.d4.loss_mask: 0.5607, decode.d4.loss_dice: 0.8211, decode.d5.loss_cls: 0.3324, decode.d5.loss_mask: 0.5654, decode.d5.loss_dice: 0.8202, decode.d6.loss_cls: 0.3275, decode.d6.loss_mask: 0.5618, decode.d6.loss_dice: 0.8153, decode.d7.loss_cls: 0.3298, decode.d7.loss_mask: 0.5614, decode.d7.loss_dice: 0.8127, decode.d8.loss_cls: 0.3276, decode.d8.loss_mask: 0.5598, decode.d8.loss_dice: 0.8177, loss: 18.5504, grad_norm: 79.7521 2023-11-22 07:49:09,142 - mmseg - INFO - Iter [64750/160000] lr: 5.670e-06, eta: 15:32:11, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3181, decode.loss_mask: 0.5389, decode.loss_dice: 0.7820, decode.d0.loss_cls: 1.4761, decode.d0.loss_mask: 0.5826, decode.d0.loss_dice: 0.8879, decode.d1.loss_cls: 0.4141, decode.d1.loss_mask: 0.5656, decode.d1.loss_dice: 0.8334, decode.d2.loss_cls: 0.3640, decode.d2.loss_mask: 0.5500, decode.d2.loss_dice: 0.8067, decode.d3.loss_cls: 0.3402, decode.d3.loss_mask: 0.5479, decode.d3.loss_dice: 0.7876, decode.d4.loss_cls: 0.3293, decode.d4.loss_mask: 0.5444, decode.d4.loss_dice: 0.7898, decode.d5.loss_cls: 0.3229, decode.d5.loss_mask: 0.5426, decode.d5.loss_dice: 0.7905, decode.d6.loss_cls: 0.3207, decode.d6.loss_mask: 0.5399, decode.d6.loss_dice: 0.7820, decode.d7.loss_cls: 0.3227, decode.d7.loss_mask: 0.5395, decode.d7.loss_dice: 0.7807, decode.d8.loss_cls: 0.3159, decode.d8.loss_mask: 0.5393, decode.d8.loss_dice: 0.7852, loss: 18.0405, grad_norm: 71.8157 2023-11-22 07:49:37,425 - mmseg - INFO - Iter [64800/160000] lr: 5.667e-06, eta: 15:31:40, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3039, decode.loss_mask: 0.5340, decode.loss_dice: 0.7811, decode.d0.loss_cls: 1.4359, decode.d0.loss_mask: 0.5695, decode.d0.loss_dice: 0.8853, decode.d1.loss_cls: 0.3931, decode.d1.loss_mask: 0.5558, decode.d1.loss_dice: 0.8390, decode.d2.loss_cls: 0.3470, decode.d2.loss_mask: 0.5424, decode.d2.loss_dice: 0.8101, decode.d3.loss_cls: 0.3197, decode.d3.loss_mask: 0.5382, decode.d3.loss_dice: 0.7947, decode.d4.loss_cls: 0.3135, decode.d4.loss_mask: 0.5378, decode.d4.loss_dice: 0.7915, decode.d5.loss_cls: 0.3078, decode.d5.loss_mask: 0.5357, decode.d5.loss_dice: 0.7922, decode.d6.loss_cls: 0.3041, decode.d6.loss_mask: 0.5318, decode.d6.loss_dice: 0.7806, decode.d7.loss_cls: 0.2989, decode.d7.loss_mask: 0.5338, decode.d7.loss_dice: 0.7841, decode.d8.loss_cls: 0.3034, decode.d8.loss_mask: 0.5349, decode.d8.loss_dice: 0.7830, loss: 17.7828, grad_norm: 70.8434 2023-11-22 07:50:05,697 - mmseg - INFO - Iter [64850/160000] lr: 5.664e-06, eta: 15:31:09, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3225, decode.loss_mask: 0.5504, decode.loss_dice: 0.8153, decode.d0.loss_cls: 1.4385, decode.d0.loss_mask: 0.5887, decode.d0.loss_dice: 0.9171, decode.d1.loss_cls: 0.4193, decode.d1.loss_mask: 0.5734, decode.d1.loss_dice: 0.8687, decode.d2.loss_cls: 0.3631, decode.d2.loss_mask: 0.5596, decode.d2.loss_dice: 0.8408, decode.d3.loss_cls: 0.3404, decode.d3.loss_mask: 0.5552, decode.d3.loss_dice: 0.8244, decode.d4.loss_cls: 0.3333, decode.d4.loss_mask: 0.5535, decode.d4.loss_dice: 0.8256, decode.d5.loss_cls: 0.3348, decode.d5.loss_mask: 0.5508, decode.d5.loss_dice: 0.8222, decode.d6.loss_cls: 0.3265, decode.d6.loss_mask: 0.5481, decode.d6.loss_dice: 0.8145, decode.d7.loss_cls: 0.3223, decode.d7.loss_mask: 0.5494, decode.d7.loss_dice: 0.8165, decode.d8.loss_cls: 0.3235, decode.d8.loss_mask: 0.5507, decode.d8.loss_dice: 0.8144, loss: 18.4638, grad_norm: 76.0514 2023-11-22 07:50:33,918 - mmseg - INFO - Iter [64900/160000] lr: 5.661e-06, eta: 15:30:38, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3129, decode.loss_mask: 0.5520, decode.loss_dice: 0.8100, decode.d0.loss_cls: 1.4340, decode.d0.loss_mask: 0.5915, decode.d0.loss_dice: 0.9090, decode.d1.loss_cls: 0.4058, decode.d1.loss_mask: 0.5710, decode.d1.loss_dice: 0.8570, decode.d2.loss_cls: 0.3414, decode.d2.loss_mask: 0.5615, decode.d2.loss_dice: 0.8300, decode.d3.loss_cls: 0.3280, decode.d3.loss_mask: 0.5590, decode.d3.loss_dice: 0.8156, decode.d4.loss_cls: 0.3256, decode.d4.loss_mask: 0.5556, decode.d4.loss_dice: 0.8158, decode.d5.loss_cls: 0.3191, decode.d5.loss_mask: 0.5557, decode.d5.loss_dice: 0.8166, decode.d6.loss_cls: 0.3117, decode.d6.loss_mask: 0.5541, decode.d6.loss_dice: 0.8049, decode.d7.loss_cls: 0.3149, decode.d7.loss_mask: 0.5548, decode.d7.loss_dice: 0.8066, decode.d8.loss_cls: 0.3167, decode.d8.loss_mask: 0.5536, decode.d8.loss_dice: 0.8099, loss: 18.2942, grad_norm: 76.2468 2023-11-22 07:51:02,479 - mmseg - INFO - Iter [64950/160000] lr: 5.658e-06, eta: 15:30:07, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3325, decode.loss_mask: 0.5413, decode.loss_dice: 0.7992, decode.d0.loss_cls: 1.4700, decode.d0.loss_mask: 0.5751, decode.d0.loss_dice: 0.9016, decode.d1.loss_cls: 0.4145, decode.d1.loss_mask: 0.5615, decode.d1.loss_dice: 0.8435, decode.d2.loss_cls: 0.3642, decode.d2.loss_mask: 0.5483, decode.d2.loss_dice: 0.8254, decode.d3.loss_cls: 0.3517, decode.d3.loss_mask: 0.5455, decode.d3.loss_dice: 0.8052, decode.d4.loss_cls: 0.3425, decode.d4.loss_mask: 0.5487, decode.d4.loss_dice: 0.8053, decode.d5.loss_cls: 0.3395, decode.d5.loss_mask: 0.5437, decode.d5.loss_dice: 0.8067, decode.d6.loss_cls: 0.3362, decode.d6.loss_mask: 0.5434, decode.d6.loss_dice: 0.7968, decode.d7.loss_cls: 0.3350, decode.d7.loss_mask: 0.5414, decode.d7.loss_dice: 0.7997, decode.d8.loss_cls: 0.3313, decode.d8.loss_mask: 0.5426, decode.d8.loss_dice: 0.7993, loss: 18.2914, grad_norm: 73.8613 2023-11-22 07:51:30,867 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 07:51:30,867 - mmseg - INFO - Iter [65000/160000] lr: 5.655e-06, eta: 15:29:37, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3042, decode.loss_mask: 0.5567, decode.loss_dice: 0.7998, decode.d0.loss_cls: 1.4491, decode.d0.loss_mask: 0.5944, decode.d0.loss_dice: 0.9067, decode.d1.loss_cls: 0.4055, decode.d1.loss_mask: 0.5762, decode.d1.loss_dice: 0.8508, decode.d2.loss_cls: 0.3395, decode.d2.loss_mask: 0.5679, decode.d2.loss_dice: 0.8238, decode.d3.loss_cls: 0.3174, decode.d3.loss_mask: 0.5606, decode.d3.loss_dice: 0.8111, decode.d4.loss_cls: 0.3166, decode.d4.loss_mask: 0.5608, decode.d4.loss_dice: 0.8053, decode.d5.loss_cls: 0.3055, decode.d5.loss_mask: 0.5572, decode.d5.loss_dice: 0.8064, decode.d6.loss_cls: 0.3037, decode.d6.loss_mask: 0.5550, decode.d6.loss_dice: 0.8020, decode.d7.loss_cls: 0.3049, decode.d7.loss_mask: 0.5578, decode.d7.loss_dice: 0.7961, decode.d8.loss_cls: 0.2996, decode.d8.loss_mask: 0.5575, decode.d8.loss_dice: 0.7968, loss: 18.1887, grad_norm: 76.9000 2023-11-22 07:51:59,181 - mmseg - INFO - Iter [65050/160000] lr: 5.652e-06, eta: 15:29:06, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3126, decode.loss_mask: 0.5243, decode.loss_dice: 0.7736, decode.d0.loss_cls: 1.4027, decode.d0.loss_mask: 0.5623, decode.d0.loss_dice: 0.8774, decode.d1.loss_cls: 0.3925, decode.d1.loss_mask: 0.5443, decode.d1.loss_dice: 0.8182, decode.d2.loss_cls: 0.3480, decode.d2.loss_mask: 0.5376, decode.d2.loss_dice: 0.7953, decode.d3.loss_cls: 0.3277, decode.d3.loss_mask: 0.5296, decode.d3.loss_dice: 0.7834, decode.d4.loss_cls: 0.3206, decode.d4.loss_mask: 0.5281, decode.d4.loss_dice: 0.7830, decode.d5.loss_cls: 0.3208, decode.d5.loss_mask: 0.5280, decode.d5.loss_dice: 0.7791, decode.d6.loss_cls: 0.3165, decode.d6.loss_mask: 0.5254, decode.d6.loss_dice: 0.7747, decode.d7.loss_cls: 0.3081, decode.d7.loss_mask: 0.5251, decode.d7.loss_dice: 0.7754, decode.d8.loss_cls: 0.3120, decode.d8.loss_mask: 0.5223, decode.d8.loss_dice: 0.7744, loss: 17.6230, grad_norm: 71.9566 2023-11-22 07:52:27,561 - mmseg - INFO - Iter [65100/160000] lr: 5.649e-06, eta: 15:28:35, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3035, decode.loss_mask: 0.5455, decode.loss_dice: 0.7732, decode.d0.loss_cls: 1.4235, decode.d0.loss_mask: 0.5770, decode.d0.loss_dice: 0.8764, decode.d1.loss_cls: 0.3984, decode.d1.loss_mask: 0.5652, decode.d1.loss_dice: 0.8255, decode.d2.loss_cls: 0.3324, decode.d2.loss_mask: 0.5527, decode.d2.loss_dice: 0.8053, decode.d3.loss_cls: 0.3187, decode.d3.loss_mask: 0.5478, decode.d3.loss_dice: 0.7849, decode.d4.loss_cls: 0.3127, decode.d4.loss_mask: 0.5459, decode.d4.loss_dice: 0.7854, decode.d5.loss_cls: 0.3097, decode.d5.loss_mask: 0.5449, decode.d5.loss_dice: 0.7801, decode.d6.loss_cls: 0.3048, decode.d6.loss_mask: 0.5434, decode.d6.loss_dice: 0.7691, decode.d7.loss_cls: 0.3065, decode.d7.loss_mask: 0.5422, decode.d7.loss_dice: 0.7742, decode.d8.loss_cls: 0.3014, decode.d8.loss_mask: 0.5421, decode.d8.loss_dice: 0.7774, loss: 17.7700, grad_norm: 69.6086 2023-11-22 07:52:55,801 - mmseg - INFO - Iter [65150/160000] lr: 5.647e-06, eta: 15:28:04, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3253, decode.loss_mask: 0.5566, decode.loss_dice: 0.8045, decode.d0.loss_cls: 1.4631, decode.d0.loss_mask: 0.5969, decode.d0.loss_dice: 0.9109, decode.d1.loss_cls: 0.4092, decode.d1.loss_mask: 0.5766, decode.d1.loss_dice: 0.8594, decode.d2.loss_cls: 0.3577, decode.d2.loss_mask: 0.5660, decode.d2.loss_dice: 0.8382, decode.d3.loss_cls: 0.3444, decode.d3.loss_mask: 0.5591, decode.d3.loss_dice: 0.8144, decode.d4.loss_cls: 0.3300, decode.d4.loss_mask: 0.5586, decode.d4.loss_dice: 0.8180, decode.d5.loss_cls: 0.3293, decode.d5.loss_mask: 0.5595, decode.d5.loss_dice: 0.8146, decode.d6.loss_cls: 0.3249, decode.d6.loss_mask: 0.5599, decode.d6.loss_dice: 0.8128, decode.d7.loss_cls: 0.3219, decode.d7.loss_mask: 0.5598, decode.d7.loss_dice: 0.8114, decode.d8.loss_cls: 0.3158, decode.d8.loss_mask: 0.5606, decode.d8.loss_dice: 0.8163, loss: 18.4759, grad_norm: 66.5883 2023-11-22 07:53:24,081 - mmseg - INFO - Iter [65200/160000] lr: 5.644e-06, eta: 15:27:33, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3345, decode.loss_mask: 0.5507, decode.loss_dice: 0.8353, decode.d0.loss_cls: 1.4643, decode.d0.loss_mask: 0.5839, decode.d0.loss_dice: 0.9383, decode.d1.loss_cls: 0.4247, decode.d1.loss_mask: 0.5676, decode.d1.loss_dice: 0.8782, decode.d2.loss_cls: 0.3763, decode.d2.loss_mask: 0.5604, decode.d2.loss_dice: 0.8517, decode.d3.loss_cls: 0.3546, decode.d3.loss_mask: 0.5548, decode.d3.loss_dice: 0.8391, decode.d4.loss_cls: 0.3444, decode.d4.loss_mask: 0.5528, decode.d4.loss_dice: 0.8409, decode.d5.loss_cls: 0.3375, decode.d5.loss_mask: 0.5542, decode.d5.loss_dice: 0.8382, decode.d6.loss_cls: 0.3355, decode.d6.loss_mask: 0.5522, decode.d6.loss_dice: 0.8333, decode.d7.loss_cls: 0.3321, decode.d7.loss_mask: 0.5508, decode.d7.loss_dice: 0.8361, decode.d8.loss_cls: 0.3324, decode.d8.loss_mask: 0.5505, decode.d8.loss_dice: 0.8354, loss: 18.7409, grad_norm: 72.5305 2023-11-22 07:53:52,558 - mmseg - INFO - Iter [65250/160000] lr: 5.641e-06, eta: 15:27:02, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3280, decode.loss_mask: 0.5407, decode.loss_dice: 0.8076, decode.d0.loss_cls: 1.4570, decode.d0.loss_mask: 0.5748, decode.d0.loss_dice: 0.9157, decode.d1.loss_cls: 0.4321, decode.d1.loss_mask: 0.5602, decode.d1.loss_dice: 0.8592, decode.d2.loss_cls: 0.3723, decode.d2.loss_mask: 0.5499, decode.d2.loss_dice: 0.8410, decode.d3.loss_cls: 0.3472, decode.d3.loss_mask: 0.5410, decode.d3.loss_dice: 0.8135, decode.d4.loss_cls: 0.3424, decode.d4.loss_mask: 0.5414, decode.d4.loss_dice: 0.8114, decode.d5.loss_cls: 0.3375, decode.d5.loss_mask: 0.5409, decode.d5.loss_dice: 0.8153, decode.d6.loss_cls: 0.3333, decode.d6.loss_mask: 0.5415, decode.d6.loss_dice: 0.8101, decode.d7.loss_cls: 0.3305, decode.d7.loss_mask: 0.5395, decode.d7.loss_dice: 0.8106, decode.d8.loss_cls: 0.3277, decode.d8.loss_mask: 0.5389, decode.d8.loss_dice: 0.8083, loss: 18.3694, grad_norm: 75.4153 2023-11-22 07:54:20,927 - mmseg - INFO - Iter [65300/160000] lr: 5.638e-06, eta: 15:26:32, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2984, decode.loss_mask: 0.5113, decode.loss_dice: 0.7639, decode.d0.loss_cls: 1.4453, decode.d0.loss_mask: 0.5505, decode.d0.loss_dice: 0.8728, decode.d1.loss_cls: 0.3892, decode.d1.loss_mask: 0.5287, decode.d1.loss_dice: 0.8080, decode.d2.loss_cls: 0.3272, decode.d2.loss_mask: 0.5211, decode.d2.loss_dice: 0.7928, decode.d3.loss_cls: 0.3139, decode.d3.loss_mask: 0.5125, decode.d3.loss_dice: 0.7710, decode.d4.loss_cls: 0.3053, decode.d4.loss_mask: 0.5147, decode.d4.loss_dice: 0.7731, decode.d5.loss_cls: 0.2990, decode.d5.loss_mask: 0.5133, decode.d5.loss_dice: 0.7747, decode.d6.loss_cls: 0.2931, decode.d6.loss_mask: 0.5104, decode.d6.loss_dice: 0.7663, decode.d7.loss_cls: 0.2922, decode.d7.loss_mask: 0.5111, decode.d7.loss_dice: 0.7649, decode.d8.loss_cls: 0.2948, decode.d8.loss_mask: 0.5107, decode.d8.loss_dice: 0.7656, loss: 17.2957, grad_norm: 66.2306 2023-11-22 07:54:49,442 - mmseg - INFO - Iter [65350/160000] lr: 5.635e-06, eta: 15:26:01, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3356, decode.loss_mask: 0.5303, decode.loss_dice: 0.7943, decode.d0.loss_cls: 1.5037, decode.d0.loss_mask: 0.5658, decode.d0.loss_dice: 0.9175, decode.d1.loss_cls: 0.4260, decode.d1.loss_mask: 0.5500, decode.d1.loss_dice: 0.8523, decode.d2.loss_cls: 0.3730, decode.d2.loss_mask: 0.5356, decode.d2.loss_dice: 0.8210, decode.d3.loss_cls: 0.3520, decode.d3.loss_mask: 0.5332, decode.d3.loss_dice: 0.8052, decode.d4.loss_cls: 0.3499, decode.d4.loss_mask: 0.5322, decode.d4.loss_dice: 0.8046, decode.d5.loss_cls: 0.3431, decode.d5.loss_mask: 0.5281, decode.d5.loss_dice: 0.8048, decode.d6.loss_cls: 0.3419, decode.d6.loss_mask: 0.5281, decode.d6.loss_dice: 0.8025, decode.d7.loss_cls: 0.3365, decode.d7.loss_mask: 0.5277, decode.d7.loss_dice: 0.8020, decode.d8.loss_cls: 0.3362, decode.d8.loss_mask: 0.5300, decode.d8.loss_dice: 0.8013, loss: 18.2647, grad_norm: 68.9375 2023-11-22 07:55:17,886 - mmseg - INFO - Iter [65400/160000] lr: 5.632e-06, eta: 15:25:30, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3183, decode.loss_mask: 0.5172, decode.loss_dice: 0.7696, decode.d0.loss_cls: 1.4770, decode.d0.loss_mask: 0.5482, decode.d0.loss_dice: 0.8810, decode.d1.loss_cls: 0.4319, decode.d1.loss_mask: 0.5342, decode.d1.loss_dice: 0.8122, decode.d2.loss_cls: 0.3675, decode.d2.loss_mask: 0.5194, decode.d2.loss_dice: 0.7847, decode.d3.loss_cls: 0.3423, decode.d3.loss_mask: 0.5160, decode.d3.loss_dice: 0.7712, decode.d4.loss_cls: 0.3370, decode.d4.loss_mask: 0.5142, decode.d4.loss_dice: 0.7692, decode.d5.loss_cls: 0.3260, decode.d5.loss_mask: 0.5155, decode.d5.loss_dice: 0.7729, decode.d6.loss_cls: 0.3221, decode.d6.loss_mask: 0.5176, decode.d6.loss_dice: 0.7690, decode.d7.loss_cls: 0.3177, decode.d7.loss_mask: 0.5176, decode.d7.loss_dice: 0.7664, decode.d8.loss_cls: 0.3206, decode.d8.loss_mask: 0.5155, decode.d8.loss_dice: 0.7671, loss: 17.6391, grad_norm: 68.2042 2023-11-22 07:55:46,056 - mmseg - INFO - Iter [65450/160000] lr: 5.629e-06, eta: 15:24:59, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3306, decode.loss_mask: 0.5367, decode.loss_dice: 0.7900, decode.d0.loss_cls: 1.5029, decode.d0.loss_mask: 0.5816, decode.d0.loss_dice: 0.9147, decode.d1.loss_cls: 0.4370, decode.d1.loss_mask: 0.5548, decode.d1.loss_dice: 0.8462, decode.d2.loss_cls: 0.3809, decode.d2.loss_mask: 0.5442, decode.d2.loss_dice: 0.8211, decode.d3.loss_cls: 0.3558, decode.d3.loss_mask: 0.5398, decode.d3.loss_dice: 0.8039, decode.d4.loss_cls: 0.3499, decode.d4.loss_mask: 0.5427, decode.d4.loss_dice: 0.7966, decode.d5.loss_cls: 0.3429, decode.d5.loss_mask: 0.5382, decode.d5.loss_dice: 0.7930, decode.d6.loss_cls: 0.3355, decode.d6.loss_mask: 0.5380, decode.d6.loss_dice: 0.7910, decode.d7.loss_cls: 0.3327, decode.d7.loss_mask: 0.5373, decode.d7.loss_dice: 0.7871, decode.d8.loss_cls: 0.3356, decode.d8.loss_mask: 0.5378, decode.d8.loss_dice: 0.7888, loss: 18.2875, grad_norm: 74.2386 2023-11-22 07:56:14,410 - mmseg - INFO - Iter [65500/160000] lr: 5.626e-06, eta: 15:24:29, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3260, decode.loss_mask: 0.5635, decode.loss_dice: 0.8305, decode.d0.loss_cls: 1.4813, decode.d0.loss_mask: 0.6026, decode.d0.loss_dice: 0.9405, decode.d1.loss_cls: 0.4242, decode.d1.loss_mask: 0.5856, decode.d1.loss_dice: 0.8866, decode.d2.loss_cls: 0.3683, decode.d2.loss_mask: 0.5756, decode.d2.loss_dice: 0.8525, decode.d3.loss_cls: 0.3464, decode.d3.loss_mask: 0.5657, decode.d3.loss_dice: 0.8379, decode.d4.loss_cls: 0.3379, decode.d4.loss_mask: 0.5668, decode.d4.loss_dice: 0.8404, decode.d5.loss_cls: 0.3357, decode.d5.loss_mask: 0.5667, decode.d5.loss_dice: 0.8347, decode.d6.loss_cls: 0.3316, decode.d6.loss_mask: 0.5651, decode.d6.loss_dice: 0.8311, decode.d7.loss_cls: 0.3259, decode.d7.loss_mask: 0.5651, decode.d7.loss_dice: 0.8330, decode.d8.loss_cls: 0.3251, decode.d8.loss_mask: 0.5636, decode.d8.loss_dice: 0.8366, loss: 18.8466, grad_norm: 71.6929 2023-11-22 07:56:42,768 - mmseg - INFO - Iter [65550/160000] lr: 5.623e-06, eta: 15:23:58, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3036, decode.loss_mask: 0.5439, decode.loss_dice: 0.7870, decode.d0.loss_cls: 1.4549, decode.d0.loss_mask: 0.5770, decode.d0.loss_dice: 0.8823, decode.d1.loss_cls: 0.3911, decode.d1.loss_mask: 0.5672, decode.d1.loss_dice: 0.8421, decode.d2.loss_cls: 0.3469, decode.d2.loss_mask: 0.5493, decode.d2.loss_dice: 0.8080, decode.d3.loss_cls: 0.3295, decode.d3.loss_mask: 0.5442, decode.d3.loss_dice: 0.7914, decode.d4.loss_cls: 0.3194, decode.d4.loss_mask: 0.5451, decode.d4.loss_dice: 0.7938, decode.d5.loss_cls: 0.3115, decode.d5.loss_mask: 0.5443, decode.d5.loss_dice: 0.7981, decode.d6.loss_cls: 0.3068, decode.d6.loss_mask: 0.5416, decode.d6.loss_dice: 0.7847, decode.d7.loss_cls: 0.3106, decode.d7.loss_mask: 0.5445, decode.d7.loss_dice: 0.7879, decode.d8.loss_cls: 0.3062, decode.d8.loss_mask: 0.5434, decode.d8.loss_dice: 0.7869, loss: 17.9429, grad_norm: 71.9680 2023-11-22 07:57:11,377 - mmseg - INFO - Iter [65600/160000] lr: 5.620e-06, eta: 15:23:27, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3252, decode.loss_mask: 0.5387, decode.loss_dice: 0.7796, decode.d0.loss_cls: 1.4266, decode.d0.loss_mask: 0.5802, decode.d0.loss_dice: 0.8813, decode.d1.loss_cls: 0.4124, decode.d1.loss_mask: 0.5639, decode.d1.loss_dice: 0.8301, decode.d2.loss_cls: 0.3574, decode.d2.loss_mask: 0.5509, decode.d2.loss_dice: 0.8027, decode.d3.loss_cls: 0.3414, decode.d3.loss_mask: 0.5426, decode.d3.loss_dice: 0.7869, decode.d4.loss_cls: 0.3349, decode.d4.loss_mask: 0.5439, decode.d4.loss_dice: 0.7897, decode.d5.loss_cls: 0.3298, decode.d5.loss_mask: 0.5442, decode.d5.loss_dice: 0.7874, decode.d6.loss_cls: 0.3275, decode.d6.loss_mask: 0.5447, decode.d6.loss_dice: 0.7857, decode.d7.loss_cls: 0.3262, decode.d7.loss_mask: 0.5408, decode.d7.loss_dice: 0.7845, decode.d8.loss_cls: 0.3209, decode.d8.loss_mask: 0.5419, decode.d8.loss_dice: 0.7853, loss: 18.0073, grad_norm: 78.2687 2023-11-22 07:57:39,593 - mmseg - INFO - Iter [65650/160000] lr: 5.617e-06, eta: 15:22:56, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3202, decode.loss_mask: 0.5298, decode.loss_dice: 0.7797, decode.d0.loss_cls: 1.4399, decode.d0.loss_mask: 0.5612, decode.d0.loss_dice: 0.8842, decode.d1.loss_cls: 0.4074, decode.d1.loss_mask: 0.5515, decode.d1.loss_dice: 0.8334, decode.d2.loss_cls: 0.3527, decode.d2.loss_mask: 0.5380, decode.d2.loss_dice: 0.8023, decode.d3.loss_cls: 0.3292, decode.d3.loss_mask: 0.5332, decode.d3.loss_dice: 0.7897, decode.d4.loss_cls: 0.3305, decode.d4.loss_mask: 0.5318, decode.d4.loss_dice: 0.7848, decode.d5.loss_cls: 0.3251, decode.d5.loss_mask: 0.5307, decode.d5.loss_dice: 0.7890, decode.d6.loss_cls: 0.3245, decode.d6.loss_mask: 0.5308, decode.d6.loss_dice: 0.7837, decode.d7.loss_cls: 0.3241, decode.d7.loss_mask: 0.5296, decode.d7.loss_dice: 0.7804, decode.d8.loss_cls: 0.3220, decode.d8.loss_mask: 0.5294, decode.d8.loss_dice: 0.7756, loss: 17.8443, grad_norm: 69.5562 2023-11-22 07:58:10,517 - mmseg - INFO - Iter [65700/160000] lr: 5.614e-06, eta: 15:22:29, time: 0.618, data_time: 0.060, memory: 38143, decode.loss_cls: 0.3141, decode.loss_mask: 0.5375, decode.loss_dice: 0.8161, decode.d0.loss_cls: 1.4359, decode.d0.loss_mask: 0.5746, decode.d0.loss_dice: 0.9141, decode.d1.loss_cls: 0.3967, decode.d1.loss_mask: 0.5611, decode.d1.loss_dice: 0.8727, decode.d2.loss_cls: 0.3540, decode.d2.loss_mask: 0.5477, decode.d2.loss_dice: 0.8423, decode.d3.loss_cls: 0.3311, decode.d3.loss_mask: 0.5421, decode.d3.loss_dice: 0.8245, decode.d4.loss_cls: 0.3208, decode.d4.loss_mask: 0.5438, decode.d4.loss_dice: 0.8259, decode.d5.loss_cls: 0.3186, decode.d5.loss_mask: 0.5405, decode.d5.loss_dice: 0.8280, decode.d6.loss_cls: 0.3135, decode.d6.loss_mask: 0.5399, decode.d6.loss_dice: 0.8176, decode.d7.loss_cls: 0.3109, decode.d7.loss_mask: 0.5385, decode.d7.loss_dice: 0.8224, decode.d8.loss_cls: 0.3147, decode.d8.loss_mask: 0.5390, decode.d8.loss_dice: 0.8215, loss: 18.2605, grad_norm: 71.4051 2023-11-22 07:58:38,734 - mmseg - INFO - Iter [65750/160000] lr: 5.611e-06, eta: 15:21:58, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3176, decode.loss_mask: 0.5309, decode.loss_dice: 0.7856, decode.d0.loss_cls: 1.4346, decode.d0.loss_mask: 0.5715, decode.d0.loss_dice: 0.8927, decode.d1.loss_cls: 0.4163, decode.d1.loss_mask: 0.5495, decode.d1.loss_dice: 0.8353, decode.d2.loss_cls: 0.3523, decode.d2.loss_mask: 0.5388, decode.d2.loss_dice: 0.8125, decode.d3.loss_cls: 0.3297, decode.d3.loss_mask: 0.5348, decode.d3.loss_dice: 0.7937, decode.d4.loss_cls: 0.3228, decode.d4.loss_mask: 0.5343, decode.d4.loss_dice: 0.7956, decode.d5.loss_cls: 0.3191, decode.d5.loss_mask: 0.5334, decode.d5.loss_dice: 0.7944, decode.d6.loss_cls: 0.3149, decode.d6.loss_mask: 0.5330, decode.d6.loss_dice: 0.7909, decode.d7.loss_cls: 0.3144, decode.d7.loss_mask: 0.5314, decode.d7.loss_dice: 0.7893, decode.d8.loss_cls: 0.3105, decode.d8.loss_mask: 0.5332, decode.d8.loss_dice: 0.7852, loss: 17.8982, grad_norm: 69.7045 2023-11-22 07:59:06,858 - mmseg - INFO - Iter [65800/160000] lr: 5.608e-06, eta: 15:21:27, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3000, decode.loss_mask: 0.5366, decode.loss_dice: 0.7864, decode.d0.loss_cls: 1.4432, decode.d0.loss_mask: 0.5788, decode.d0.loss_dice: 0.8914, decode.d1.loss_cls: 0.4093, decode.d1.loss_mask: 0.5581, decode.d1.loss_dice: 0.8372, decode.d2.loss_cls: 0.3437, decode.d2.loss_mask: 0.5505, decode.d2.loss_dice: 0.8109, decode.d3.loss_cls: 0.3164, decode.d3.loss_mask: 0.5429, decode.d3.loss_dice: 0.7959, decode.d4.loss_cls: 0.3075, decode.d4.loss_mask: 0.5413, decode.d4.loss_dice: 0.7904, decode.d5.loss_cls: 0.3044, decode.d5.loss_mask: 0.5412, decode.d5.loss_dice: 0.7925, decode.d6.loss_cls: 0.3021, decode.d6.loss_mask: 0.5386, decode.d6.loss_dice: 0.7888, decode.d7.loss_cls: 0.2979, decode.d7.loss_mask: 0.5386, decode.d7.loss_dice: 0.7910, decode.d8.loss_cls: 0.3025, decode.d8.loss_mask: 0.5393, decode.d8.loss_dice: 0.7909, loss: 17.8683, grad_norm: 72.7850 2023-11-22 07:59:35,373 - mmseg - INFO - Iter [65850/160000] lr: 5.605e-06, eta: 15:20:57, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3106, decode.loss_mask: 0.5275, decode.loss_dice: 0.7804, decode.d0.loss_cls: 1.4460, decode.d0.loss_mask: 0.5611, decode.d0.loss_dice: 0.8862, decode.d1.loss_cls: 0.4090, decode.d1.loss_mask: 0.5493, decode.d1.loss_dice: 0.8294, decode.d2.loss_cls: 0.3423, decode.d2.loss_mask: 0.5388, decode.d2.loss_dice: 0.8072, decode.d3.loss_cls: 0.3236, decode.d3.loss_mask: 0.5304, decode.d3.loss_dice: 0.7881, decode.d4.loss_cls: 0.3171, decode.d4.loss_mask: 0.5295, decode.d4.loss_dice: 0.7895, decode.d5.loss_cls: 0.3149, decode.d5.loss_mask: 0.5298, decode.d5.loss_dice: 0.7917, decode.d6.loss_cls: 0.3174, decode.d6.loss_mask: 0.5283, decode.d6.loss_dice: 0.7799, decode.d7.loss_cls: 0.3142, decode.d7.loss_mask: 0.5280, decode.d7.loss_dice: 0.7822, decode.d8.loss_cls: 0.3086, decode.d8.loss_mask: 0.5298, decode.d8.loss_dice: 0.7823, loss: 17.7730, grad_norm: 75.5139 2023-11-22 08:00:03,761 - mmseg - INFO - Iter [65900/160000] lr: 5.602e-06, eta: 15:20:26, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3305, decode.loss_mask: 0.5271, decode.loss_dice: 0.8059, decode.d0.loss_cls: 1.4395, decode.d0.loss_mask: 0.5577, decode.d0.loss_dice: 0.9092, decode.d1.loss_cls: 0.4223, decode.d1.loss_mask: 0.5462, decode.d1.loss_dice: 0.8547, decode.d2.loss_cls: 0.3709, decode.d2.loss_mask: 0.5400, decode.d2.loss_dice: 0.8254, decode.d3.loss_cls: 0.3529, decode.d3.loss_mask: 0.5314, decode.d3.loss_dice: 0.8126, decode.d4.loss_cls: 0.3434, decode.d4.loss_mask: 0.5308, decode.d4.loss_dice: 0.8105, decode.d5.loss_cls: 0.3408, decode.d5.loss_mask: 0.5296, decode.d5.loss_dice: 0.8117, decode.d6.loss_cls: 0.3372, decode.d6.loss_mask: 0.5279, decode.d6.loss_dice: 0.7977, decode.d7.loss_cls: 0.3319, decode.d7.loss_mask: 0.5289, decode.d7.loss_dice: 0.8020, decode.d8.loss_cls: 0.3369, decode.d8.loss_mask: 0.5290, decode.d8.loss_dice: 0.8032, loss: 18.1878, grad_norm: 72.4986 2023-11-22 08:00:32,015 - mmseg - INFO - Iter [65950/160000] lr: 5.599e-06, eta: 15:19:55, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3140, decode.loss_mask: 0.5290, decode.loss_dice: 0.8100, decode.d0.loss_cls: 1.4636, decode.d0.loss_mask: 0.5658, decode.d0.loss_dice: 0.9149, decode.d1.loss_cls: 0.4024, decode.d1.loss_mask: 0.5540, decode.d1.loss_dice: 0.8599, decode.d2.loss_cls: 0.3531, decode.d2.loss_mask: 0.5402, decode.d2.loss_dice: 0.8264, decode.d3.loss_cls: 0.3398, decode.d3.loss_mask: 0.5288, decode.d3.loss_dice: 0.8112, decode.d4.loss_cls: 0.3287, decode.d4.loss_mask: 0.5331, decode.d4.loss_dice: 0.8091, decode.d5.loss_cls: 0.3219, decode.d5.loss_mask: 0.5341, decode.d5.loss_dice: 0.8092, decode.d6.loss_cls: 0.3216, decode.d6.loss_mask: 0.5287, decode.d6.loss_dice: 0.8005, decode.d7.loss_cls: 0.3170, decode.d7.loss_mask: 0.5305, decode.d7.loss_dice: 0.8053, decode.d8.loss_cls: 0.3130, decode.d8.loss_mask: 0.5307, decode.d8.loss_dice: 0.8077, loss: 18.1039, grad_norm: 69.1950 2023-11-22 08:01:00,497 - mmseg - INFO - Saving checkpoint at 66000 iterations 2023-11-22 08:01:08,051 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 08:01:08,052 - mmseg - INFO - Iter [66000/160000] lr: 5.596e-06, eta: 15:19:35, time: 0.721, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3137, decode.loss_mask: 0.5413, decode.loss_dice: 0.8107, decode.d0.loss_cls: 1.4753, decode.d0.loss_mask: 0.5717, decode.d0.loss_dice: 0.9047, decode.d1.loss_cls: 0.4253, decode.d1.loss_mask: 0.5594, decode.d1.loss_dice: 0.8467, decode.d2.loss_cls: 0.3558, decode.d2.loss_mask: 0.5465, decode.d2.loss_dice: 0.8303, decode.d3.loss_cls: 0.3432, decode.d3.loss_mask: 0.5465, decode.d3.loss_dice: 0.8126, decode.d4.loss_cls: 0.3371, decode.d4.loss_mask: 0.5451, decode.d4.loss_dice: 0.8128, decode.d5.loss_cls: 0.3304, decode.d5.loss_mask: 0.5425, decode.d5.loss_dice: 0.8057, decode.d6.loss_cls: 0.3231, decode.d6.loss_mask: 0.5417, decode.d6.loss_dice: 0.8053, decode.d7.loss_cls: 0.3193, decode.d7.loss_mask: 0.5408, decode.d7.loss_dice: 0.8101, decode.d8.loss_cls: 0.3158, decode.d8.loss_mask: 0.5416, decode.d8.loss_dice: 0.8090, loss: 18.2642, grad_norm: 76.2644 2023-11-22 08:01:27,992 - mmseg - INFO - per class results: 2023-11-22 08:01:27,997 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.97 | 87.46 | | building | 81.18 | 87.8 | | sky | 94.89 | 96.94 | | floor | 84.26 | 91.05 | | tree | 76.85 | 87.96 | | ceiling | 85.44 | 91.2 | | road | 86.56 | 92.06 | | bed | 91.93 | 96.15 | | windowpane | 64.53 | 80.24 | | grass | 68.36 | 81.52 | | cabinet | 63.68 | 78.71 | | sidewalk | 69.04 | 79.85 | | person | 86.12 | 93.35 | | earth | 39.1 | 56.39 | | door | 52.82 | 70.01 | | table | 67.72 | 82.89 | | mountain | 64.41 | 74.77 | | plant | 54.42 | 72.69 | | curtain | 78.18 | 87.43 | | chair | 66.25 | 79.64 | | car | 87.52 | 93.82 | | water | 56.3 | 73.62 | | painting | 77.12 | 90.42 | | sofa | 77.12 | 91.81 | | shelf | 43.12 | 56.27 | | house | 37.78 | 88.27 | | sea | 61.52 | 83.28 | | mirror | 71.85 | 82.07 | | rug | 68.41 | 81.99 | | field | 35.04 | 48.76 | | armchair | 53.38 | 70.12 | | seat | 60.9 | 82.56 | | fence | 49.44 | 67.8 | | desk | 56.57 | 77.66 | | rock | 47.33 | 60.63 | | wardrobe | 54.3 | 65.93 | | lamp | 77.07 | 90.2 | | bathtub | 80.07 | 86.46 | | railing | 39.84 | 59.89 | | cushion | 66.74 | 78.69 | | base | 47.9 | 71.43 | | box | 32.26 | 44.48 | | column | 52.3 | 75.16 | | signboard | 45.02 | 60.3 | | chest of drawers | 43.56 | 68.72 | | counter | 45.26 | 52.95 | | sand | 39.63 | 52.67 | | sink | 80.43 | 88.19 | | skyscraper | 44.17 | 55.45 | | fireplace | 79.85 | 90.33 | | refrigerator | 79.99 | 92.01 | | grandstand | 47.67 | 78.48 | | path | 21.58 | 46.79 | | stairs | 25.87 | 31.89 | | runway | 75.59 | 95.11 | | case | 55.9 | 86.91 | | pool table | 94.33 | 97.92 | | pillow | 64.81 | 79.72 | | screen door | 70.32 | 90.79 | | stairway | 33.18 | 59.35 | | river | 18.31 | 26.46 | | bridge | 85.13 | 90.01 | | bookcase | 31.12 | 44.83 | | blind | 52.09 | 63.72 | | coffee table | 68.72 | 88.53 | | toilet | 90.54 | 93.58 | | flower | 49.55 | 69.22 | | book | 51.7 | 76.53 | | hill | 11.63 | 31.63 | | bench | 58.58 | 76.88 | | countertop | 59.59 | 79.95 | | stove | 82.99 | 87.7 | | palm | 56.59 | 82.85 | | kitchen island | 48.96 | 82.66 | | computer | 72.36 | 81.29 | | swivel chair | 48.96 | 62.71 | | boat | 39.36 | 53.86 | | bar | 38.25 | 40.36 | | arcade machine | 87.07 | 94.04 | | hovel | 44.57 | 48.93 | | bus | 84.73 | 96.92 | | towel | 76.23 | 90.3 | | light | 62.34 | 81.33 | | truck | 23.43 | 27.35 | | tower | 40.06 | 78.28 | | chandelier | 74.37 | 90.02 | | awning | 38.92 | 62.4 | | streetlight | 45.78 | 67.51 | | booth | 33.84 | 41.85 | | television receiver | 72.17 | 88.76 | | airplane | 62.94 | 67.99 | | dirt track | 11.48 | 14.71 | | apparel | 45.34 | 63.31 | | pole | 36.0 | 54.73 | | land | 4.53 | 7.31 | | bannister | 21.38 | 28.81 | | escalator | 24.63 | 27.38 | | ottoman | 53.27 | 79.46 | | bottle | 42.21 | 75.53 | | buffet | 42.64 | 58.06 | | poster | 31.31 | 43.26 | | stage | 17.49 | 45.49 | | van | 45.43 | 76.62 | | ship | 8.74 | 19.34 | | fountain | 22.8 | 23.21 | | conveyer belt | 77.72 | 91.41 | | canopy | 41.79 | 74.22 | | washer | 78.69 | 83.67 | | plaything | 56.48 | 76.52 | | swimming pool | 66.64 | 70.48 | | stool | 51.18 | 69.76 | | barrel | 77.44 | 99.0 | | basket | 41.79 | 53.52 | | waterfall | 48.21 | 64.34 | | tent | 92.63 | 98.04 | | bag | 26.75 | 41.79 | | minibike | 72.22 | 91.05 | | cradle | 91.04 | 98.16 | | oven | 29.01 | 82.86 | | ball | 48.16 | 52.1 | | food | 68.89 | 76.25 | | step | 29.57 | 40.34 | | tank | 35.96 | 66.26 | | trade name | 29.63 | 38.73 | | microwave | 42.9 | 45.46 | | pot | 57.58 | 72.05 | | animal | 63.13 | 64.25 | | bicycle | 61.43 | 81.47 | | lake | 0.0 | 0.0 | | dishwasher | 78.84 | 90.34 | | screen | 52.74 | 92.75 | | blanket | 37.78 | 53.33 | | sculpture | 69.52 | 90.57 | | hood | 72.58 | 78.02 | | sconce | 60.62 | 75.85 | | vase | 55.69 | 75.79 | | traffic light | 42.7 | 72.9 | | tray | 21.37 | 40.52 | | ashcan | 47.21 | 76.28 | | fan | 69.63 | 82.83 | | pier | 34.97 | 40.28 | | crt screen | 5.73 | 14.99 | | plate | 66.06 | 82.47 | | monitor | 5.9 | 9.14 | | bulletin board | 40.21 | 79.89 | | shower | 11.84 | 27.96 | | radiator | 70.13 | 90.74 | | glass | 25.01 | 29.03 | | clock | 52.2 | 64.78 | | flag | 51.28 | 58.45 | +---------------------+-------+-------+ 2023-11-22 08:01:27,998 - mmseg - INFO - Summary: 2023-11-22 08:01:27,998 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.53 | 54.11 | 69.08 | +-------+-------+-------+ 2023-11-22 08:01:27,999 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 08:01:27,999 - mmseg - INFO - Iter(val) [250] aAcc: 0.8453, mIoU: 0.5411, mAcc: 0.6908, IoU.wall: 0.8097, IoU.building: 0.8118, IoU.sky: 0.9489, IoU.floor: 0.8426, IoU.tree: 0.7685, IoU.ceiling: 0.8544, IoU.road: 0.8656, IoU.bed : 0.9193, IoU.windowpane: 0.6453, IoU.grass: 0.6836, IoU.cabinet: 0.6368, IoU.sidewalk: 0.6904, IoU.person: 0.8612, IoU.earth: 0.3910, IoU.door: 0.5282, IoU.table: 0.6772, IoU.mountain: 0.6441, IoU.plant: 0.5442, IoU.curtain: 0.7818, IoU.chair: 0.6625, IoU.car: 0.8752, IoU.water: 0.5630, IoU.painting: 0.7712, IoU.sofa: 0.7712, IoU.shelf: 0.4312, IoU.house: 0.3778, IoU.sea: 0.6152, IoU.mirror: 0.7185, IoU.rug: 0.6841, IoU.field: 0.3504, IoU.armchair: 0.5338, IoU.seat: 0.6090, IoU.fence: 0.4944, IoU.desk: 0.5657, IoU.rock: 0.4733, IoU.wardrobe: 0.5430, IoU.lamp: 0.7707, IoU.bathtub: 0.8007, IoU.railing: 0.3984, IoU.cushion: 0.6674, IoU.base: 0.4790, IoU.box: 0.3226, IoU.column: 0.5230, IoU.signboard: 0.4502, IoU.chest of drawers: 0.4356, IoU.counter: 0.4526, IoU.sand: 0.3963, IoU.sink: 0.8043, IoU.skyscraper: 0.4417, IoU.fireplace: 0.7985, IoU.refrigerator: 0.7999, IoU.grandstand: 0.4767, IoU.path: 0.2158, IoU.stairs: 0.2587, IoU.runway: 0.7559, IoU.case: 0.5590, IoU.pool table: 0.9433, IoU.pillow: 0.6481, IoU.screen door: 0.7032, IoU.stairway: 0.3318, IoU.river: 0.1831, IoU.bridge: 0.8513, IoU.bookcase: 0.3112, IoU.blind: 0.5209, IoU.coffee table: 0.6872, IoU.toilet: 0.9054, IoU.flower: 0.4955, IoU.book: 0.5170, IoU.hill: 0.1163, IoU.bench: 0.5858, IoU.countertop: 0.5959, IoU.stove: 0.8299, IoU.palm: 0.5659, IoU.kitchen island: 0.4896, IoU.computer: 0.7236, IoU.swivel chair: 0.4896, IoU.boat: 0.3936, IoU.bar: 0.3825, IoU.arcade machine: 0.8707, IoU.hovel: 0.4457, IoU.bus: 0.8473, IoU.towel: 0.7623, IoU.light: 0.6234, IoU.truck: 0.2343, IoU.tower: 0.4006, IoU.chandelier: 0.7437, IoU.awning: 0.3892, IoU.streetlight: 0.4578, IoU.booth: 0.3384, IoU.television receiver: 0.7217, IoU.airplane: 0.6294, IoU.dirt track: 0.1148, IoU.apparel: 0.4534, IoU.pole: 0.3600, IoU.land: 0.0453, IoU.bannister: 0.2138, IoU.escalator: 0.2463, IoU.ottoman: 0.5327, IoU.bottle: 0.4221, IoU.buffet: 0.4264, IoU.poster: 0.3131, IoU.stage: 0.1749, IoU.van: 0.4543, IoU.ship: 0.0874, IoU.fountain: 0.2280, IoU.conveyer belt: 0.7772, IoU.canopy: 0.4179, IoU.washer: 0.7869, IoU.plaything: 0.5648, IoU.swimming pool: 0.6664, IoU.stool: 0.5118, IoU.barrel: 0.7744, IoU.basket: 0.4179, IoU.waterfall: 0.4821, IoU.tent: 0.9263, IoU.bag: 0.2675, IoU.minibike: 0.7222, IoU.cradle: 0.9104, IoU.oven: 0.2901, IoU.ball: 0.4816, IoU.food: 0.6889, IoU.step: 0.2957, IoU.tank: 0.3596, IoU.trade name: 0.2963, IoU.microwave: 0.4290, IoU.pot: 0.5758, IoU.animal: 0.6313, IoU.bicycle: 0.6143, IoU.lake: 0.0000, IoU.dishwasher: 0.7884, IoU.screen: 0.5274, IoU.blanket: 0.3778, IoU.sculpture: 0.6952, IoU.hood: 0.7258, IoU.sconce: 0.6062, IoU.vase: 0.5569, IoU.traffic light: 0.4270, IoU.tray: 0.2137, IoU.ashcan: 0.4721, IoU.fan: 0.6963, IoU.pier: 0.3497, IoU.crt screen: 0.0573, IoU.plate: 0.6606, IoU.monitor: 0.0590, IoU.bulletin board: 0.4021, IoU.shower: 0.1184, IoU.radiator: 0.7013, IoU.glass: 0.2501, IoU.clock: 0.5220, IoU.flag: 0.5128, Acc.wall: 0.8746, Acc.building: 0.8780, Acc.sky: 0.9694, Acc.floor: 0.9105, Acc.tree: 0.8796, Acc.ceiling: 0.9120, Acc.road: 0.9206, Acc.bed : 0.9615, Acc.windowpane: 0.8024, Acc.grass: 0.8152, Acc.cabinet: 0.7871, Acc.sidewalk: 0.7985, Acc.person: 0.9335, Acc.earth: 0.5639, Acc.door: 0.7001, Acc.table: 0.8289, Acc.mountain: 0.7477, Acc.plant: 0.7269, Acc.curtain: 0.8743, Acc.chair: 0.7964, Acc.car: 0.9382, Acc.water: 0.7362, Acc.painting: 0.9042, Acc.sofa: 0.9181, Acc.shelf: 0.5627, Acc.house: 0.8827, Acc.sea: 0.8328, Acc.mirror: 0.8207, Acc.rug: 0.8199, Acc.field: 0.4876, Acc.armchair: 0.7012, Acc.seat: 0.8256, Acc.fence: 0.6780, Acc.desk: 0.7766, Acc.rock: 0.6063, Acc.wardrobe: 0.6593, Acc.lamp: 0.9020, Acc.bathtub: 0.8646, Acc.railing: 0.5989, Acc.cushion: 0.7869, Acc.base: 0.7143, Acc.box: 0.4448, Acc.column: 0.7516, Acc.signboard: 0.6030, Acc.chest of drawers: 0.6872, Acc.counter: 0.5295, Acc.sand: 0.5267, Acc.sink: 0.8819, Acc.skyscraper: 0.5545, Acc.fireplace: 0.9033, Acc.refrigerator: 0.9201, Acc.grandstand: 0.7848, Acc.path: 0.4679, Acc.stairs: 0.3189, Acc.runway: 0.9511, Acc.case: 0.8691, Acc.pool table: 0.9792, Acc.pillow: 0.7972, Acc.screen door: 0.9079, Acc.stairway: 0.5935, Acc.river: 0.2646, Acc.bridge: 0.9001, Acc.bookcase: 0.4483, Acc.blind: 0.6372, Acc.coffee table: 0.8853, Acc.toilet: 0.9358, Acc.flower: 0.6922, Acc.book: 0.7653, Acc.hill: 0.3163, Acc.bench: 0.7688, Acc.countertop: 0.7995, Acc.stove: 0.8770, Acc.palm: 0.8285, Acc.kitchen island: 0.8266, Acc.computer: 0.8129, Acc.swivel chair: 0.6271, Acc.boat: 0.5386, Acc.bar: 0.4036, Acc.arcade machine: 0.9404, Acc.hovel: 0.4893, Acc.bus: 0.9692, Acc.towel: 0.9030, Acc.light: 0.8133, Acc.truck: 0.2735, Acc.tower: 0.7828, Acc.chandelier: 0.9002, Acc.awning: 0.6240, Acc.streetlight: 0.6751, Acc.booth: 0.4185, Acc.television receiver: 0.8876, Acc.airplane: 0.6799, Acc.dirt track: 0.1471, Acc.apparel: 0.6331, Acc.pole: 0.5473, Acc.land: 0.0731, Acc.bannister: 0.2881, Acc.escalator: 0.2738, Acc.ottoman: 0.7946, Acc.bottle: 0.7553, Acc.buffet: 0.5806, Acc.poster: 0.4326, Acc.stage: 0.4549, Acc.van: 0.7662, Acc.ship: 0.1934, Acc.fountain: 0.2321, Acc.conveyer belt: 0.9141, Acc.canopy: 0.7422, Acc.washer: 0.8367, Acc.plaything: 0.7652, Acc.swimming pool: 0.7048, Acc.stool: 0.6976, Acc.barrel: 0.9900, Acc.basket: 0.5352, Acc.waterfall: 0.6434, Acc.tent: 0.9804, Acc.bag: 0.4179, Acc.minibike: 0.9105, Acc.cradle: 0.9816, Acc.oven: 0.8286, Acc.ball: 0.5210, Acc.food: 0.7625, Acc.step: 0.4034, Acc.tank: 0.6626, Acc.trade name: 0.3873, Acc.microwave: 0.4546, Acc.pot: 0.7205, Acc.animal: 0.6425, Acc.bicycle: 0.8147, Acc.lake: 0.0000, Acc.dishwasher: 0.9034, Acc.screen: 0.9275, Acc.blanket: 0.5333, Acc.sculpture: 0.9057, Acc.hood: 0.7802, Acc.sconce: 0.7585, Acc.vase: 0.7579, Acc.traffic light: 0.7290, Acc.tray: 0.4052, Acc.ashcan: 0.7628, Acc.fan: 0.8283, Acc.pier: 0.4028, Acc.crt screen: 0.1499, Acc.plate: 0.8247, Acc.monitor: 0.0914, Acc.bulletin board: 0.7989, Acc.shower: 0.2796, Acc.radiator: 0.9074, Acc.glass: 0.2903, Acc.clock: 0.6478, Acc.flag: 0.5845 2023-11-22 08:01:56,357 - mmseg - INFO - Iter [66050/160000] lr: 5.593e-06, eta: 15:19:33, time: 0.966, data_time: 0.412, memory: 38143, decode.loss_cls: 0.3048, decode.loss_mask: 0.5414, decode.loss_dice: 0.7907, decode.d0.loss_cls: 1.4298, decode.d0.loss_mask: 0.5805, decode.d0.loss_dice: 0.8920, decode.d1.loss_cls: 0.3954, decode.d1.loss_mask: 0.5657, decode.d1.loss_dice: 0.8446, decode.d2.loss_cls: 0.3367, decode.d2.loss_mask: 0.5517, decode.d2.loss_dice: 0.8129, decode.d3.loss_cls: 0.3243, decode.d3.loss_mask: 0.5478, decode.d3.loss_dice: 0.7985, decode.d4.loss_cls: 0.3122, decode.d4.loss_mask: 0.5458, decode.d4.loss_dice: 0.8026, decode.d5.loss_cls: 0.3109, decode.d5.loss_mask: 0.5462, decode.d5.loss_dice: 0.7975, decode.d6.loss_cls: 0.3096, decode.d6.loss_mask: 0.5420, decode.d6.loss_dice: 0.7966, decode.d7.loss_cls: 0.3074, decode.d7.loss_mask: 0.5419, decode.d7.loss_dice: 0.7946, decode.d8.loss_cls: 0.3043, decode.d8.loss_mask: 0.5420, decode.d8.loss_dice: 0.7922, loss: 17.9625, grad_norm: 74.8453 2023-11-22 08:02:24,691 - mmseg - INFO - Iter [66100/160000] lr: 5.590e-06, eta: 15:19:02, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3141, decode.loss_mask: 0.5457, decode.loss_dice: 0.7826, decode.d0.loss_cls: 1.4515, decode.d0.loss_mask: 0.5747, decode.d0.loss_dice: 0.8857, decode.d1.loss_cls: 0.4068, decode.d1.loss_mask: 0.5654, decode.d1.loss_dice: 0.8310, decode.d2.loss_cls: 0.3569, decode.d2.loss_mask: 0.5504, decode.d2.loss_dice: 0.8070, decode.d3.loss_cls: 0.3357, decode.d3.loss_mask: 0.5501, decode.d3.loss_dice: 0.7928, decode.d4.loss_cls: 0.3297, decode.d4.loss_mask: 0.5462, decode.d4.loss_dice: 0.7895, decode.d5.loss_cls: 0.3231, decode.d5.loss_mask: 0.5476, decode.d5.loss_dice: 0.7906, decode.d6.loss_cls: 0.3191, decode.d6.loss_mask: 0.5471, decode.d6.loss_dice: 0.7842, decode.d7.loss_cls: 0.3150, decode.d7.loss_mask: 0.5468, decode.d7.loss_dice: 0.7875, decode.d8.loss_cls: 0.3161, decode.d8.loss_mask: 0.5446, decode.d8.loss_dice: 0.7891, loss: 18.0264, grad_norm: 68.3946 2023-11-22 08:02:53,287 - mmseg - INFO - Iter [66150/160000] lr: 5.587e-06, eta: 15:18:32, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3229, decode.loss_mask: 0.5434, decode.loss_dice: 0.8100, decode.d0.loss_cls: 1.4671, decode.d0.loss_mask: 0.5761, decode.d0.loss_dice: 0.9099, decode.d1.loss_cls: 0.4203, decode.d1.loss_mask: 0.5611, decode.d1.loss_dice: 0.8536, decode.d2.loss_cls: 0.3636, decode.d2.loss_mask: 0.5575, decode.d2.loss_dice: 0.8343, decode.d3.loss_cls: 0.3382, decode.d3.loss_mask: 0.5491, decode.d3.loss_dice: 0.8218, decode.d4.loss_cls: 0.3298, decode.d4.loss_mask: 0.5478, decode.d4.loss_dice: 0.8245, decode.d5.loss_cls: 0.3231, decode.d5.loss_mask: 0.5500, decode.d5.loss_dice: 0.8239, decode.d6.loss_cls: 0.3236, decode.d6.loss_mask: 0.5439, decode.d6.loss_dice: 0.8142, decode.d7.loss_cls: 0.3216, decode.d7.loss_mask: 0.5443, decode.d7.loss_dice: 0.8106, decode.d8.loss_cls: 0.3155, decode.d8.loss_mask: 0.5451, decode.d8.loss_dice: 0.8141, loss: 18.3611, grad_norm: 69.9987 2023-11-22 08:03:21,627 - mmseg - INFO - Iter [66200/160000] lr: 5.584e-06, eta: 15:18:01, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3023, decode.loss_mask: 0.5243, decode.loss_dice: 0.7807, decode.d0.loss_cls: 1.4319, decode.d0.loss_mask: 0.5593, decode.d0.loss_dice: 0.8810, decode.d1.loss_cls: 0.3935, decode.d1.loss_mask: 0.5422, decode.d1.loss_dice: 0.8310, decode.d2.loss_cls: 0.3446, decode.d2.loss_mask: 0.5347, decode.d2.loss_dice: 0.7982, decode.d3.loss_cls: 0.3232, decode.d3.loss_mask: 0.5283, decode.d3.loss_dice: 0.7876, decode.d4.loss_cls: 0.3059, decode.d4.loss_mask: 0.5264, decode.d4.loss_dice: 0.7897, decode.d5.loss_cls: 0.3055, decode.d5.loss_mask: 0.5252, decode.d5.loss_dice: 0.7837, decode.d6.loss_cls: 0.3083, decode.d6.loss_mask: 0.5268, decode.d6.loss_dice: 0.7787, decode.d7.loss_cls: 0.3004, decode.d7.loss_mask: 0.5260, decode.d7.loss_dice: 0.7850, decode.d8.loss_cls: 0.3059, decode.d8.loss_mask: 0.5267, decode.d8.loss_dice: 0.7831, loss: 17.6398, grad_norm: 66.7620 2023-11-22 08:03:50,046 - mmseg - INFO - Iter [66250/160000] lr: 5.581e-06, eta: 15:17:30, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3094, decode.loss_mask: 0.5567, decode.loss_dice: 0.7908, decode.d0.loss_cls: 1.4099, decode.d0.loss_mask: 0.5901, decode.d0.loss_dice: 0.8978, decode.d1.loss_cls: 0.4021, decode.d1.loss_mask: 0.5706, decode.d1.loss_dice: 0.8449, decode.d2.loss_cls: 0.3491, decode.d2.loss_mask: 0.5654, decode.d2.loss_dice: 0.8134, decode.d3.loss_cls: 0.3281, decode.d3.loss_mask: 0.5590, decode.d3.loss_dice: 0.8026, decode.d4.loss_cls: 0.3219, decode.d4.loss_mask: 0.5567, decode.d4.loss_dice: 0.8014, decode.d5.loss_cls: 0.3160, decode.d5.loss_mask: 0.5563, decode.d5.loss_dice: 0.7987, decode.d6.loss_cls: 0.3101, decode.d6.loss_mask: 0.5571, decode.d6.loss_dice: 0.7947, decode.d7.loss_cls: 0.3140, decode.d7.loss_mask: 0.5575, decode.d7.loss_dice: 0.7934, decode.d8.loss_cls: 0.3068, decode.d8.loss_mask: 0.5603, decode.d8.loss_dice: 0.7958, loss: 18.1304, grad_norm: 73.2822 2023-11-22 08:04:18,442 - mmseg - INFO - Iter [66300/160000] lr: 5.578e-06, eta: 15:16:59, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3139, decode.loss_mask: 0.5531, decode.loss_dice: 0.8198, decode.d0.loss_cls: 1.4640, decode.d0.loss_mask: 0.5880, decode.d0.loss_dice: 0.9251, decode.d1.loss_cls: 0.4092, decode.d1.loss_mask: 0.5735, decode.d1.loss_dice: 0.8702, decode.d2.loss_cls: 0.3535, decode.d2.loss_mask: 0.5617, decode.d2.loss_dice: 0.8385, decode.d3.loss_cls: 0.3296, decode.d3.loss_mask: 0.5571, decode.d3.loss_dice: 0.8259, decode.d4.loss_cls: 0.3187, decode.d4.loss_mask: 0.5553, decode.d4.loss_dice: 0.8255, decode.d5.loss_cls: 0.3137, decode.d5.loss_mask: 0.5557, decode.d5.loss_dice: 0.8249, decode.d6.loss_cls: 0.3159, decode.d6.loss_mask: 0.5521, decode.d6.loss_dice: 0.8165, decode.d7.loss_cls: 0.3167, decode.d7.loss_mask: 0.5526, decode.d7.loss_dice: 0.8180, decode.d8.loss_cls: 0.3148, decode.d8.loss_mask: 0.5507, decode.d8.loss_dice: 0.8201, loss: 18.4339, grad_norm: 75.3324 2023-11-22 08:04:46,827 - mmseg - INFO - Iter [66350/160000] lr: 5.575e-06, eta: 15:16:29, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3117, decode.loss_mask: 0.5512, decode.loss_dice: 0.7922, decode.d0.loss_cls: 1.4489, decode.d0.loss_mask: 0.5885, decode.d0.loss_dice: 0.8916, decode.d1.loss_cls: 0.4106, decode.d1.loss_mask: 0.5696, decode.d1.loss_dice: 0.8420, decode.d2.loss_cls: 0.3451, decode.d2.loss_mask: 0.5590, decode.d2.loss_dice: 0.8189, decode.d3.loss_cls: 0.3276, decode.d3.loss_mask: 0.5535, decode.d3.loss_dice: 0.7998, decode.d4.loss_cls: 0.3180, decode.d4.loss_mask: 0.5532, decode.d4.loss_dice: 0.8048, decode.d5.loss_cls: 0.3193, decode.d5.loss_mask: 0.5518, decode.d5.loss_dice: 0.7958, decode.d6.loss_cls: 0.3188, decode.d6.loss_mask: 0.5517, decode.d6.loss_dice: 0.7945, decode.d7.loss_cls: 0.3050, decode.d7.loss_mask: 0.5525, decode.d7.loss_dice: 0.7955, decode.d8.loss_cls: 0.3073, decode.d8.loss_mask: 0.5526, decode.d8.loss_dice: 0.7961, loss: 18.1272, grad_norm: 77.2303 2023-11-22 08:05:15,089 - mmseg - INFO - Iter [66400/160000] lr: 5.572e-06, eta: 15:15:58, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3141, decode.loss_mask: 0.5204, decode.loss_dice: 0.7824, decode.d0.loss_cls: 1.4260, decode.d0.loss_mask: 0.5522, decode.d0.loss_dice: 0.8988, decode.d1.loss_cls: 0.4057, decode.d1.loss_mask: 0.5413, decode.d1.loss_dice: 0.8317, decode.d2.loss_cls: 0.3464, decode.d2.loss_mask: 0.5302, decode.d2.loss_dice: 0.8063, decode.d3.loss_cls: 0.3303, decode.d3.loss_mask: 0.5278, decode.d3.loss_dice: 0.7954, decode.d4.loss_cls: 0.3214, decode.d4.loss_mask: 0.5281, decode.d4.loss_dice: 0.7934, decode.d5.loss_cls: 0.3201, decode.d5.loss_mask: 0.5242, decode.d5.loss_dice: 0.7900, decode.d6.loss_cls: 0.3185, decode.d6.loss_mask: 0.5211, decode.d6.loss_dice: 0.7853, decode.d7.loss_cls: 0.3171, decode.d7.loss_mask: 0.5194, decode.d7.loss_dice: 0.7847, decode.d8.loss_cls: 0.3123, decode.d8.loss_mask: 0.5211, decode.d8.loss_dice: 0.7832, loss: 17.7488, grad_norm: 71.9151 2023-11-22 08:05:43,758 - mmseg - INFO - Iter [66450/160000] lr: 5.569e-06, eta: 15:15:27, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2946, decode.loss_mask: 0.5259, decode.loss_dice: 0.7725, decode.d0.loss_cls: 1.4471, decode.d0.loss_mask: 0.5624, decode.d0.loss_dice: 0.8860, decode.d1.loss_cls: 0.4001, decode.d1.loss_mask: 0.5444, decode.d1.loss_dice: 0.8249, decode.d2.loss_cls: 0.3464, decode.d2.loss_mask: 0.5304, decode.d2.loss_dice: 0.7959, decode.d3.loss_cls: 0.3180, decode.d3.loss_mask: 0.5289, decode.d3.loss_dice: 0.7847, decode.d4.loss_cls: 0.3120, decode.d4.loss_mask: 0.5286, decode.d4.loss_dice: 0.7872, decode.d5.loss_cls: 0.3059, decode.d5.loss_mask: 0.5283, decode.d5.loss_dice: 0.7843, decode.d6.loss_cls: 0.3022, decode.d6.loss_mask: 0.5289, decode.d6.loss_dice: 0.7773, decode.d7.loss_cls: 0.2975, decode.d7.loss_mask: 0.5272, decode.d7.loss_dice: 0.7748, decode.d8.loss_cls: 0.3009, decode.d8.loss_mask: 0.5260, decode.d8.loss_dice: 0.7771, loss: 17.6201, grad_norm: 75.8112 2023-11-22 08:06:12,069 - mmseg - INFO - Iter [66500/160000] lr: 5.566e-06, eta: 15:14:57, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3180, decode.loss_mask: 0.5320, decode.loss_dice: 0.7803, decode.d0.loss_cls: 1.4577, decode.d0.loss_mask: 0.5690, decode.d0.loss_dice: 0.8810, decode.d1.loss_cls: 0.4130, decode.d1.loss_mask: 0.5491, decode.d1.loss_dice: 0.8261, decode.d2.loss_cls: 0.3613, decode.d2.loss_mask: 0.5426, decode.d2.loss_dice: 0.7996, decode.d3.loss_cls: 0.3348, decode.d3.loss_mask: 0.5396, decode.d3.loss_dice: 0.7913, decode.d4.loss_cls: 0.3233, decode.d4.loss_mask: 0.5384, decode.d4.loss_dice: 0.7933, decode.d5.loss_cls: 0.3216, decode.d5.loss_mask: 0.5343, decode.d5.loss_dice: 0.7857, decode.d6.loss_cls: 0.3205, decode.d6.loss_mask: 0.5318, decode.d6.loss_dice: 0.7797, decode.d7.loss_cls: 0.3183, decode.d7.loss_mask: 0.5313, decode.d7.loss_dice: 0.7783, decode.d8.loss_cls: 0.3121, decode.d8.loss_mask: 0.5326, decode.d8.loss_dice: 0.7832, loss: 17.8796, grad_norm: 72.0059 2023-11-22 08:06:40,511 - mmseg - INFO - Iter [66550/160000] lr: 5.563e-06, eta: 15:14:26, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3193, decode.loss_mask: 0.5490, decode.loss_dice: 0.7903, decode.d0.loss_cls: 1.4365, decode.d0.loss_mask: 0.5836, decode.d0.loss_dice: 0.8880, decode.d1.loss_cls: 0.4076, decode.d1.loss_mask: 0.5736, decode.d1.loss_dice: 0.8330, decode.d2.loss_cls: 0.3655, decode.d2.loss_mask: 0.5568, decode.d2.loss_dice: 0.8074, decode.d3.loss_cls: 0.3346, decode.d3.loss_mask: 0.5517, decode.d3.loss_dice: 0.7939, decode.d4.loss_cls: 0.3278, decode.d4.loss_mask: 0.5498, decode.d4.loss_dice: 0.7919, decode.d5.loss_cls: 0.3222, decode.d5.loss_mask: 0.5503, decode.d5.loss_dice: 0.7842, decode.d6.loss_cls: 0.3197, decode.d6.loss_mask: 0.5511, decode.d6.loss_dice: 0.7783, decode.d7.loss_cls: 0.3189, decode.d7.loss_mask: 0.5496, decode.d7.loss_dice: 0.7793, decode.d8.loss_cls: 0.3163, decode.d8.loss_mask: 0.5497, decode.d8.loss_dice: 0.7884, loss: 18.0684, grad_norm: 72.4026 2023-11-22 08:07:08,823 - mmseg - INFO - Iter [66600/160000] lr: 5.560e-06, eta: 15:13:55, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3191, decode.loss_mask: 0.5490, decode.loss_dice: 0.8009, decode.d0.loss_cls: 1.4624, decode.d0.loss_mask: 0.5894, decode.d0.loss_dice: 0.9142, decode.d1.loss_cls: 0.4310, decode.d1.loss_mask: 0.5698, decode.d1.loss_dice: 0.8546, decode.d2.loss_cls: 0.3610, decode.d2.loss_mask: 0.5609, decode.d2.loss_dice: 0.8282, decode.d3.loss_cls: 0.3362, decode.d3.loss_mask: 0.5510, decode.d3.loss_dice: 0.8126, decode.d4.loss_cls: 0.3301, decode.d4.loss_mask: 0.5489, decode.d4.loss_dice: 0.8063, decode.d5.loss_cls: 0.3275, decode.d5.loss_mask: 0.5468, decode.d5.loss_dice: 0.8065, decode.d6.loss_cls: 0.3216, decode.d6.loss_mask: 0.5483, decode.d6.loss_dice: 0.8039, decode.d7.loss_cls: 0.3232, decode.d7.loss_mask: 0.5489, decode.d7.loss_dice: 0.8008, decode.d8.loss_cls: 0.3157, decode.d8.loss_mask: 0.5481, decode.d8.loss_dice: 0.8054, loss: 18.3222, grad_norm: 72.3706 2023-11-22 08:07:37,215 - mmseg - INFO - Iter [66650/160000] lr: 5.557e-06, eta: 15:13:24, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3328, decode.loss_mask: 0.5440, decode.loss_dice: 0.8027, decode.d0.loss_cls: 1.4722, decode.d0.loss_mask: 0.5841, decode.d0.loss_dice: 0.9100, decode.d1.loss_cls: 0.4241, decode.d1.loss_mask: 0.5660, decode.d1.loss_dice: 0.8478, decode.d2.loss_cls: 0.3724, decode.d2.loss_mask: 0.5531, decode.d2.loss_dice: 0.8314, decode.d3.loss_cls: 0.3540, decode.d3.loss_mask: 0.5520, decode.d3.loss_dice: 0.8199, decode.d4.loss_cls: 0.3418, decode.d4.loss_mask: 0.5514, decode.d4.loss_dice: 0.8168, decode.d5.loss_cls: 0.3357, decode.d5.loss_mask: 0.5486, decode.d5.loss_dice: 0.8142, decode.d6.loss_cls: 0.3398, decode.d6.loss_mask: 0.5450, decode.d6.loss_dice: 0.8065, decode.d7.loss_cls: 0.3300, decode.d7.loss_mask: 0.5464, decode.d7.loss_dice: 0.8047, decode.d8.loss_cls: 0.3324, decode.d8.loss_mask: 0.5444, decode.d8.loss_dice: 0.8059, loss: 18.4300, grad_norm: 70.4851 2023-11-22 08:08:05,757 - mmseg - INFO - Iter [66700/160000] lr: 5.554e-06, eta: 15:12:54, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3242, decode.loss_mask: 0.5483, decode.loss_dice: 0.7932, decode.d0.loss_cls: 1.4786, decode.d0.loss_mask: 0.5959, decode.d0.loss_dice: 0.9072, decode.d1.loss_cls: 0.4180, decode.d1.loss_mask: 0.5732, decode.d1.loss_dice: 0.8483, decode.d2.loss_cls: 0.3673, decode.d2.loss_mask: 0.5611, decode.d2.loss_dice: 0.8197, decode.d3.loss_cls: 0.3478, decode.d3.loss_mask: 0.5530, decode.d3.loss_dice: 0.8011, decode.d4.loss_cls: 0.3383, decode.d4.loss_mask: 0.5538, decode.d4.loss_dice: 0.8017, decode.d5.loss_cls: 0.3287, decode.d5.loss_mask: 0.5529, decode.d5.loss_dice: 0.7994, decode.d6.loss_cls: 0.3263, decode.d6.loss_mask: 0.5510, decode.d6.loss_dice: 0.7944, decode.d7.loss_cls: 0.3220, decode.d7.loss_mask: 0.5484, decode.d7.loss_dice: 0.7938, decode.d8.loss_cls: 0.3237, decode.d8.loss_mask: 0.5494, decode.d8.loss_dice: 0.7956, loss: 18.3160, grad_norm: 74.2705 2023-11-22 08:08:34,321 - mmseg - INFO - Iter [66750/160000] lr: 5.551e-06, eta: 15:12:23, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3268, decode.loss_mask: 0.5436, decode.loss_dice: 0.7991, decode.d0.loss_cls: 1.4399, decode.d0.loss_mask: 0.5827, decode.d0.loss_dice: 0.8903, decode.d1.loss_cls: 0.4219, decode.d1.loss_mask: 0.5631, decode.d1.loss_dice: 0.8316, decode.d2.loss_cls: 0.3606, decode.d2.loss_mask: 0.5546, decode.d2.loss_dice: 0.8117, decode.d3.loss_cls: 0.3468, decode.d3.loss_mask: 0.5476, decode.d3.loss_dice: 0.7995, decode.d4.loss_cls: 0.3389, decode.d4.loss_mask: 0.5481, decode.d4.loss_dice: 0.8019, decode.d5.loss_cls: 0.3278, decode.d5.loss_mask: 0.5476, decode.d5.loss_dice: 0.7969, decode.d6.loss_cls: 0.3250, decode.d6.loss_mask: 0.5469, decode.d6.loss_dice: 0.7953, decode.d7.loss_cls: 0.3231, decode.d7.loss_mask: 0.5456, decode.d7.loss_dice: 0.7955, decode.d8.loss_cls: 0.3229, decode.d8.loss_mask: 0.5468, decode.d8.loss_dice: 0.7979, loss: 18.1801, grad_norm: 78.5062 2023-11-22 08:09:02,604 - mmseg - INFO - Iter [66800/160000] lr: 5.548e-06, eta: 15:11:53, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3204, decode.loss_mask: 0.5436, decode.loss_dice: 0.8216, decode.d0.loss_cls: 1.4849, decode.d0.loss_mask: 0.5844, decode.d0.loss_dice: 0.9198, decode.d1.loss_cls: 0.4108, decode.d1.loss_mask: 0.5660, decode.d1.loss_dice: 0.8696, decode.d2.loss_cls: 0.3624, decode.d2.loss_mask: 0.5565, decode.d2.loss_dice: 0.8466, decode.d3.loss_cls: 0.3425, decode.d3.loss_mask: 0.5507, decode.d3.loss_dice: 0.8298, decode.d4.loss_cls: 0.3395, decode.d4.loss_mask: 0.5484, decode.d4.loss_dice: 0.8274, decode.d5.loss_cls: 0.3313, decode.d5.loss_mask: 0.5497, decode.d5.loss_dice: 0.8353, decode.d6.loss_cls: 0.3294, decode.d6.loss_mask: 0.5464, decode.d6.loss_dice: 0.8287, decode.d7.loss_cls: 0.3270, decode.d7.loss_mask: 0.5470, decode.d7.loss_dice: 0.8263, decode.d8.loss_cls: 0.3227, decode.d8.loss_mask: 0.5470, decode.d8.loss_dice: 0.8259, loss: 18.5416, grad_norm: 73.8698 2023-11-22 08:09:30,909 - mmseg - INFO - Iter [66850/160000] lr: 5.545e-06, eta: 15:11:22, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3178, decode.loss_mask: 0.5604, decode.loss_dice: 0.8211, decode.d0.loss_cls: 1.4587, decode.d0.loss_mask: 0.5939, decode.d0.loss_dice: 0.9188, decode.d1.loss_cls: 0.4179, decode.d1.loss_mask: 0.5817, decode.d1.loss_dice: 0.8696, decode.d2.loss_cls: 0.3617, decode.d2.loss_mask: 0.5667, decode.d2.loss_dice: 0.8406, decode.d3.loss_cls: 0.3460, decode.d3.loss_mask: 0.5590, decode.d3.loss_dice: 0.8216, decode.d4.loss_cls: 0.3386, decode.d4.loss_mask: 0.5583, decode.d4.loss_dice: 0.8240, decode.d5.loss_cls: 0.3324, decode.d5.loss_mask: 0.5600, decode.d5.loss_dice: 0.8219, decode.d6.loss_cls: 0.3286, decode.d6.loss_mask: 0.5585, decode.d6.loss_dice: 0.8180, decode.d7.loss_cls: 0.3193, decode.d7.loss_mask: 0.5622, decode.d7.loss_dice: 0.8202, decode.d8.loss_cls: 0.3206, decode.d8.loss_mask: 0.5605, decode.d8.loss_dice: 0.8181, loss: 18.5765, grad_norm: 73.8040 2023-11-22 08:09:59,245 - mmseg - INFO - Iter [66900/160000] lr: 5.542e-06, eta: 15:10:51, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3309, decode.loss_mask: 0.5062, decode.loss_dice: 0.7902, decode.d0.loss_cls: 1.4609, decode.d0.loss_mask: 0.5466, decode.d0.loss_dice: 0.9022, decode.d1.loss_cls: 0.4183, decode.d1.loss_mask: 0.5301, decode.d1.loss_dice: 0.8459, decode.d2.loss_cls: 0.3576, decode.d2.loss_mask: 0.5205, decode.d2.loss_dice: 0.8205, decode.d3.loss_cls: 0.3455, decode.d3.loss_mask: 0.5124, decode.d3.loss_dice: 0.7950, decode.d4.loss_cls: 0.3316, decode.d4.loss_mask: 0.5125, decode.d4.loss_dice: 0.7967, decode.d5.loss_cls: 0.3268, decode.d5.loss_mask: 0.5116, decode.d5.loss_dice: 0.7965, decode.d6.loss_cls: 0.3299, decode.d6.loss_mask: 0.5092, decode.d6.loss_dice: 0.7906, decode.d7.loss_cls: 0.3281, decode.d7.loss_mask: 0.5078, decode.d7.loss_dice: 0.7907, decode.d8.loss_cls: 0.3326, decode.d8.loss_mask: 0.5073, decode.d8.loss_dice: 0.7924, loss: 17.8471, grad_norm: 65.2460 2023-11-22 08:10:29,821 - mmseg - INFO - Iter [66950/160000] lr: 5.539e-06, eta: 15:10:23, time: 0.611, data_time: 0.061, memory: 38143, decode.loss_cls: 0.3218, decode.loss_mask: 0.5130, decode.loss_dice: 0.7696, decode.d0.loss_cls: 1.4542, decode.d0.loss_mask: 0.5497, decode.d0.loss_dice: 0.8762, decode.d1.loss_cls: 0.4211, decode.d1.loss_mask: 0.5329, decode.d1.loss_dice: 0.8208, decode.d2.loss_cls: 0.3643, decode.d2.loss_mask: 0.5224, decode.d2.loss_dice: 0.7887, decode.d3.loss_cls: 0.3459, decode.d3.loss_mask: 0.5172, decode.d3.loss_dice: 0.7752, decode.d4.loss_cls: 0.3369, decode.d4.loss_mask: 0.5178, decode.d4.loss_dice: 0.7775, decode.d5.loss_cls: 0.3328, decode.d5.loss_mask: 0.5158, decode.d5.loss_dice: 0.7726, decode.d6.loss_cls: 0.3299, decode.d6.loss_mask: 0.5124, decode.d6.loss_dice: 0.7705, decode.d7.loss_cls: 0.3206, decode.d7.loss_mask: 0.5122, decode.d7.loss_dice: 0.7735, decode.d8.loss_cls: 0.3291, decode.d8.loss_mask: 0.5109, decode.d8.loss_dice: 0.7669, loss: 17.6524, grad_norm: 72.3968 2023-11-22 08:10:58,302 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 08:10:58,302 - mmseg - INFO - Iter [67000/160000] lr: 5.536e-06, eta: 15:09:53, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3179, decode.loss_mask: 0.5297, decode.loss_dice: 0.7738, decode.d0.loss_cls: 1.4740, decode.d0.loss_mask: 0.5668, decode.d0.loss_dice: 0.8750, decode.d1.loss_cls: 0.4059, decode.d1.loss_mask: 0.5516, decode.d1.loss_dice: 0.8217, decode.d2.loss_cls: 0.3510, decode.d2.loss_mask: 0.5421, decode.d2.loss_dice: 0.8067, decode.d3.loss_cls: 0.3354, decode.d3.loss_mask: 0.5348, decode.d3.loss_dice: 0.7897, decode.d4.loss_cls: 0.3243, decode.d4.loss_mask: 0.5346, decode.d4.loss_dice: 0.7936, decode.d5.loss_cls: 0.3279, decode.d5.loss_mask: 0.5311, decode.d5.loss_dice: 0.7865, decode.d6.loss_cls: 0.3284, decode.d6.loss_mask: 0.5300, decode.d6.loss_dice: 0.7747, decode.d7.loss_cls: 0.3206, decode.d7.loss_mask: 0.5303, decode.d7.loss_dice: 0.7781, decode.d8.loss_cls: 0.3206, decode.d8.loss_mask: 0.5281, decode.d8.loss_dice: 0.7766, loss: 17.8614, grad_norm: 73.1337 2023-11-22 08:11:26,786 - mmseg - INFO - Iter [67050/160000] lr: 5.533e-06, eta: 15:09:22, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3048, decode.loss_mask: 0.5203, decode.loss_dice: 0.7769, decode.d0.loss_cls: 1.4659, decode.d0.loss_mask: 0.5551, decode.d0.loss_dice: 0.8883, decode.d1.loss_cls: 0.4173, decode.d1.loss_mask: 0.5374, decode.d1.loss_dice: 0.8242, decode.d2.loss_cls: 0.3484, decode.d2.loss_mask: 0.5313, decode.d2.loss_dice: 0.7986, decode.d3.loss_cls: 0.3291, decode.d3.loss_mask: 0.5267, decode.d3.loss_dice: 0.7821, decode.d4.loss_cls: 0.3208, decode.d4.loss_mask: 0.5245, decode.d4.loss_dice: 0.7852, decode.d5.loss_cls: 0.3108, decode.d5.loss_mask: 0.5221, decode.d5.loss_dice: 0.7858, decode.d6.loss_cls: 0.3126, decode.d6.loss_mask: 0.5217, decode.d6.loss_dice: 0.7789, decode.d7.loss_cls: 0.3058, decode.d7.loss_mask: 0.5240, decode.d7.loss_dice: 0.7783, decode.d8.loss_cls: 0.3080, decode.d8.loss_mask: 0.5221, decode.d8.loss_dice: 0.7810, loss: 17.6880, grad_norm: 68.7016 2023-11-22 08:11:54,999 - mmseg - INFO - Iter [67100/160000] lr: 5.530e-06, eta: 15:08:51, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2973, decode.loss_mask: 0.5399, decode.loss_dice: 0.7845, decode.d0.loss_cls: 1.4054, decode.d0.loss_mask: 0.5713, decode.d0.loss_dice: 0.8792, decode.d1.loss_cls: 0.3900, decode.d1.loss_mask: 0.5601, decode.d1.loss_dice: 0.8301, decode.d2.loss_cls: 0.3323, decode.d2.loss_mask: 0.5514, decode.d2.loss_dice: 0.8070, decode.d3.loss_cls: 0.3104, decode.d3.loss_mask: 0.5416, decode.d3.loss_dice: 0.7931, decode.d4.loss_cls: 0.3057, decode.d4.loss_mask: 0.5392, decode.d4.loss_dice: 0.7907, decode.d5.loss_cls: 0.3006, decode.d5.loss_mask: 0.5411, decode.d5.loss_dice: 0.7922, decode.d6.loss_cls: 0.2937, decode.d6.loss_mask: 0.5409, decode.d6.loss_dice: 0.7834, decode.d7.loss_cls: 0.2962, decode.d7.loss_mask: 0.5416, decode.d7.loss_dice: 0.7899, decode.d8.loss_cls: 0.2968, decode.d8.loss_mask: 0.5434, decode.d8.loss_dice: 0.7890, loss: 17.7378, grad_norm: 74.8661 2023-11-22 08:12:23,323 - mmseg - INFO - Iter [67150/160000] lr: 5.527e-06, eta: 15:08:21, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3118, decode.loss_mask: 0.5311, decode.loss_dice: 0.7893, decode.d0.loss_cls: 1.4503, decode.d0.loss_mask: 0.5705, decode.d0.loss_dice: 0.9051, decode.d1.loss_cls: 0.3996, decode.d1.loss_mask: 0.5525, decode.d1.loss_dice: 0.8414, decode.d2.loss_cls: 0.3477, decode.d2.loss_mask: 0.5392, decode.d2.loss_dice: 0.8139, decode.d3.loss_cls: 0.3305, decode.d3.loss_mask: 0.5327, decode.d3.loss_dice: 0.7976, decode.d4.loss_cls: 0.3274, decode.d4.loss_mask: 0.5305, decode.d4.loss_dice: 0.7948, decode.d5.loss_cls: 0.3217, decode.d5.loss_mask: 0.5311, decode.d5.loss_dice: 0.7960, decode.d6.loss_cls: 0.3184, decode.d6.loss_mask: 0.5331, decode.d6.loss_dice: 0.7870, decode.d7.loss_cls: 0.3098, decode.d7.loss_mask: 0.5324, decode.d7.loss_dice: 0.7925, decode.d8.loss_cls: 0.3112, decode.d8.loss_mask: 0.5313, decode.d8.loss_dice: 0.7903, loss: 17.9202, grad_norm: 69.4994 2023-11-22 08:12:51,504 - mmseg - INFO - Iter [67200/160000] lr: 5.524e-06, eta: 15:07:50, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3070, decode.loss_mask: 0.5377, decode.loss_dice: 0.7851, decode.d0.loss_cls: 1.4108, decode.d0.loss_mask: 0.5714, decode.d0.loss_dice: 0.8906, decode.d1.loss_cls: 0.3970, decode.d1.loss_mask: 0.5581, decode.d1.loss_dice: 0.8348, decode.d2.loss_cls: 0.3489, decode.d2.loss_mask: 0.5465, decode.d2.loss_dice: 0.8109, decode.d3.loss_cls: 0.3298, decode.d3.loss_mask: 0.5387, decode.d3.loss_dice: 0.7908, decode.d4.loss_cls: 0.3161, decode.d4.loss_mask: 0.5396, decode.d4.loss_dice: 0.7959, decode.d5.loss_cls: 0.3135, decode.d5.loss_mask: 0.5398, decode.d5.loss_dice: 0.7950, decode.d6.loss_cls: 0.3083, decode.d6.loss_mask: 0.5389, decode.d6.loss_dice: 0.7901, decode.d7.loss_cls: 0.3082, decode.d7.loss_mask: 0.5372, decode.d7.loss_dice: 0.7866, decode.d8.loss_cls: 0.3070, decode.d8.loss_mask: 0.5345, decode.d8.loss_dice: 0.7866, loss: 17.8552, grad_norm: 75.2410 2023-11-22 08:13:19,659 - mmseg - INFO - Iter [67250/160000] lr: 5.521e-06, eta: 15:07:19, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3096, decode.loss_mask: 0.5448, decode.loss_dice: 0.7929, decode.d0.loss_cls: 1.4345, decode.d0.loss_mask: 0.5814, decode.d0.loss_dice: 0.9020, decode.d1.loss_cls: 0.4077, decode.d1.loss_mask: 0.5657, decode.d1.loss_dice: 0.8418, decode.d2.loss_cls: 0.3504, decode.d2.loss_mask: 0.5532, decode.d2.loss_dice: 0.8153, decode.d3.loss_cls: 0.3277, decode.d3.loss_mask: 0.5460, decode.d3.loss_dice: 0.8008, decode.d4.loss_cls: 0.3190, decode.d4.loss_mask: 0.5486, decode.d4.loss_dice: 0.7981, decode.d5.loss_cls: 0.3155, decode.d5.loss_mask: 0.5466, decode.d5.loss_dice: 0.7990, decode.d6.loss_cls: 0.3080, decode.d6.loss_mask: 0.5465, decode.d6.loss_dice: 0.7986, decode.d7.loss_cls: 0.3057, decode.d7.loss_mask: 0.5459, decode.d7.loss_dice: 0.7974, decode.d8.loss_cls: 0.3115, decode.d8.loss_mask: 0.5447, decode.d8.loss_dice: 0.7944, loss: 18.0533, grad_norm: 79.2354 2023-11-22 08:13:48,406 - mmseg - INFO - Iter [67300/160000] lr: 5.519e-06, eta: 15:06:48, time: 0.575, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3226, decode.loss_mask: 0.5405, decode.loss_dice: 0.8038, decode.d0.loss_cls: 1.4658, decode.d0.loss_mask: 0.5698, decode.d0.loss_dice: 0.9038, decode.d1.loss_cls: 0.4180, decode.d1.loss_mask: 0.5575, decode.d1.loss_dice: 0.8422, decode.d2.loss_cls: 0.3611, decode.d2.loss_mask: 0.5485, decode.d2.loss_dice: 0.8221, decode.d3.loss_cls: 0.3383, decode.d3.loss_mask: 0.5433, decode.d3.loss_dice: 0.8068, decode.d4.loss_cls: 0.3333, decode.d4.loss_mask: 0.5391, decode.d4.loss_dice: 0.8043, decode.d5.loss_cls: 0.3243, decode.d5.loss_mask: 0.5446, decode.d5.loss_dice: 0.8026, decode.d6.loss_cls: 0.3175, decode.d6.loss_mask: 0.5426, decode.d6.loss_dice: 0.8017, decode.d7.loss_cls: 0.3197, decode.d7.loss_mask: 0.5426, decode.d7.loss_dice: 0.7987, decode.d8.loss_cls: 0.3234, decode.d8.loss_mask: 0.5401, decode.d8.loss_dice: 0.8030, loss: 18.1814, grad_norm: 72.4651 2023-11-22 08:14:16,903 - mmseg - INFO - Iter [67350/160000] lr: 5.516e-06, eta: 15:06:18, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2953, decode.loss_mask: 0.5259, decode.loss_dice: 0.7881, decode.d0.loss_cls: 1.4340, decode.d0.loss_mask: 0.5580, decode.d0.loss_dice: 0.8854, decode.d1.loss_cls: 0.3970, decode.d1.loss_mask: 0.5464, decode.d1.loss_dice: 0.8367, decode.d2.loss_cls: 0.3289, decode.d2.loss_mask: 0.5346, decode.d2.loss_dice: 0.8130, decode.d3.loss_cls: 0.3127, decode.d3.loss_mask: 0.5292, decode.d3.loss_dice: 0.7921, decode.d4.loss_cls: 0.3050, decode.d4.loss_mask: 0.5293, decode.d4.loss_dice: 0.7927, decode.d5.loss_cls: 0.2983, decode.d5.loss_mask: 0.5280, decode.d5.loss_dice: 0.7920, decode.d6.loss_cls: 0.2991, decode.d6.loss_mask: 0.5232, decode.d6.loss_dice: 0.7875, decode.d7.loss_cls: 0.2933, decode.d7.loss_mask: 0.5259, decode.d7.loss_dice: 0.7880, decode.d8.loss_cls: 0.2944, decode.d8.loss_mask: 0.5253, decode.d8.loss_dice: 0.7883, loss: 17.6474, grad_norm: 71.9836 2023-11-22 08:14:45,350 - mmseg - INFO - Iter [67400/160000] lr: 5.513e-06, eta: 15:05:47, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2989, decode.loss_mask: 0.5332, decode.loss_dice: 0.7882, decode.d0.loss_cls: 1.4777, decode.d0.loss_mask: 0.5725, decode.d0.loss_dice: 0.8944, decode.d1.loss_cls: 0.3954, decode.d1.loss_mask: 0.5556, decode.d1.loss_dice: 0.8391, decode.d2.loss_cls: 0.3377, decode.d2.loss_mask: 0.5470, decode.d2.loss_dice: 0.8162, decode.d3.loss_cls: 0.3228, decode.d3.loss_mask: 0.5389, decode.d3.loss_dice: 0.7890, decode.d4.loss_cls: 0.3161, decode.d4.loss_mask: 0.5378, decode.d4.loss_dice: 0.7902, decode.d5.loss_cls: 0.3079, decode.d5.loss_mask: 0.5376, decode.d5.loss_dice: 0.7949, decode.d6.loss_cls: 0.3011, decode.d6.loss_mask: 0.5351, decode.d6.loss_dice: 0.7876, decode.d7.loss_cls: 0.3019, decode.d7.loss_mask: 0.5344, decode.d7.loss_dice: 0.7874, decode.d8.loss_cls: 0.3000, decode.d8.loss_mask: 0.5341, decode.d8.loss_dice: 0.7872, loss: 17.8600, grad_norm: 71.7070 2023-11-22 08:15:13,677 - mmseg - INFO - Iter [67450/160000] lr: 5.510e-06, eta: 15:05:17, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3325, decode.loss_mask: 0.5294, decode.loss_dice: 0.8076, decode.d0.loss_cls: 1.4628, decode.d0.loss_mask: 0.5670, decode.d0.loss_dice: 0.9359, decode.d1.loss_cls: 0.4299, decode.d1.loss_mask: 0.5477, decode.d1.loss_dice: 0.8659, decode.d2.loss_cls: 0.3733, decode.d2.loss_mask: 0.5404, decode.d2.loss_dice: 0.8384, decode.d3.loss_cls: 0.3508, decode.d3.loss_mask: 0.5368, decode.d3.loss_dice: 0.8139, decode.d4.loss_cls: 0.3405, decode.d4.loss_mask: 0.5367, decode.d4.loss_dice: 0.8218, decode.d5.loss_cls: 0.3342, decode.d5.loss_mask: 0.5331, decode.d5.loss_dice: 0.8153, decode.d6.loss_cls: 0.3374, decode.d6.loss_mask: 0.5318, decode.d6.loss_dice: 0.8073, decode.d7.loss_cls: 0.3341, decode.d7.loss_mask: 0.5316, decode.d7.loss_dice: 0.8098, decode.d8.loss_cls: 0.3344, decode.d8.loss_mask: 0.5325, decode.d8.loss_dice: 0.8116, loss: 18.3446, grad_norm: 72.2097 2023-11-22 08:15:41,850 - mmseg - INFO - Iter [67500/160000] lr: 5.507e-06, eta: 15:04:46, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3141, decode.loss_mask: 0.5288, decode.loss_dice: 0.7678, decode.d0.loss_cls: 1.4377, decode.d0.loss_mask: 0.5646, decode.d0.loss_dice: 0.8781, decode.d1.loss_cls: 0.4126, decode.d1.loss_mask: 0.5431, decode.d1.loss_dice: 0.8147, decode.d2.loss_cls: 0.3487, decode.d2.loss_mask: 0.5359, decode.d2.loss_dice: 0.7927, decode.d3.loss_cls: 0.3311, decode.d3.loss_mask: 0.5296, decode.d3.loss_dice: 0.7766, decode.d4.loss_cls: 0.3206, decode.d4.loss_mask: 0.5297, decode.d4.loss_dice: 0.7744, decode.d5.loss_cls: 0.3131, decode.d5.loss_mask: 0.5299, decode.d5.loss_dice: 0.7782, decode.d6.loss_cls: 0.3170, decode.d6.loss_mask: 0.5274, decode.d6.loss_dice: 0.7674, decode.d7.loss_cls: 0.3158, decode.d7.loss_mask: 0.5272, decode.d7.loss_dice: 0.7655, decode.d8.loss_cls: 0.3109, decode.d8.loss_mask: 0.5294, decode.d8.loss_dice: 0.7681, loss: 17.6508, grad_norm: 69.3755 2023-11-22 08:16:10,228 - mmseg - INFO - Iter [67550/160000] lr: 5.504e-06, eta: 15:04:15, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3046, decode.loss_mask: 0.5186, decode.loss_dice: 0.7736, decode.d0.loss_cls: 1.4415, decode.d0.loss_mask: 0.5508, decode.d0.loss_dice: 0.8725, decode.d1.loss_cls: 0.4177, decode.d1.loss_mask: 0.5375, decode.d1.loss_dice: 0.8187, decode.d2.loss_cls: 0.3505, decode.d2.loss_mask: 0.5297, decode.d2.loss_dice: 0.7901, decode.d3.loss_cls: 0.3304, decode.d3.loss_mask: 0.5221, decode.d3.loss_dice: 0.7721, decode.d4.loss_cls: 0.3235, decode.d4.loss_mask: 0.5199, decode.d4.loss_dice: 0.7766, decode.d5.loss_cls: 0.3228, decode.d5.loss_mask: 0.5190, decode.d5.loss_dice: 0.7743, decode.d6.loss_cls: 0.3140, decode.d6.loss_mask: 0.5193, decode.d6.loss_dice: 0.7661, decode.d7.loss_cls: 0.3134, decode.d7.loss_mask: 0.5183, decode.d7.loss_dice: 0.7709, decode.d8.loss_cls: 0.3067, decode.d8.loss_mask: 0.5188, decode.d8.loss_dice: 0.7742, loss: 17.5682, grad_norm: 75.6792 2023-11-22 08:16:38,880 - mmseg - INFO - Iter [67600/160000] lr: 5.501e-06, eta: 15:03:45, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3117, decode.loss_mask: 0.5209, decode.loss_dice: 0.7821, decode.d0.loss_cls: 1.4430, decode.d0.loss_mask: 0.5587, decode.d0.loss_dice: 0.8875, decode.d1.loss_cls: 0.4042, decode.d1.loss_mask: 0.5416, decode.d1.loss_dice: 0.8297, decode.d2.loss_cls: 0.3521, decode.d2.loss_mask: 0.5283, decode.d2.loss_dice: 0.8078, decode.d3.loss_cls: 0.3293, decode.d3.loss_mask: 0.5227, decode.d3.loss_dice: 0.7941, decode.d4.loss_cls: 0.3220, decode.d4.loss_mask: 0.5207, decode.d4.loss_dice: 0.7917, decode.d5.loss_cls: 0.3101, decode.d5.loss_mask: 0.5214, decode.d5.loss_dice: 0.7917, decode.d6.loss_cls: 0.3171, decode.d6.loss_mask: 0.5195, decode.d6.loss_dice: 0.7844, decode.d7.loss_cls: 0.3096, decode.d7.loss_mask: 0.5172, decode.d7.loss_dice: 0.7885, decode.d8.loss_cls: 0.3116, decode.d8.loss_mask: 0.5214, decode.d8.loss_dice: 0.7855, loss: 17.7261, grad_norm: 86.2987 2023-11-22 08:17:07,596 - mmseg - INFO - Iter [67650/160000] lr: 5.498e-06, eta: 15:03:14, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3182, decode.loss_mask: 0.5225, decode.loss_dice: 0.7786, decode.d0.loss_cls: 1.4919, decode.d0.loss_mask: 0.5576, decode.d0.loss_dice: 0.8932, decode.d1.loss_cls: 0.4056, decode.d1.loss_mask: 0.5480, decode.d1.loss_dice: 0.8303, decode.d2.loss_cls: 0.3568, decode.d2.loss_mask: 0.5349, decode.d2.loss_dice: 0.8059, decode.d3.loss_cls: 0.3387, decode.d3.loss_mask: 0.5311, decode.d3.loss_dice: 0.7978, decode.d4.loss_cls: 0.3319, decode.d4.loss_mask: 0.5273, decode.d4.loss_dice: 0.7999, decode.d5.loss_cls: 0.3269, decode.d5.loss_mask: 0.5258, decode.d5.loss_dice: 0.7879, decode.d6.loss_cls: 0.3239, decode.d6.loss_mask: 0.5226, decode.d6.loss_dice: 0.7833, decode.d7.loss_cls: 0.3194, decode.d7.loss_mask: 0.5220, decode.d7.loss_dice: 0.7815, decode.d8.loss_cls: 0.3213, decode.d8.loss_mask: 0.5227, decode.d8.loss_dice: 0.7755, loss: 17.8829, grad_norm: 72.5513 2023-11-22 08:17:35,834 - mmseg - INFO - Iter [67700/160000] lr: 5.495e-06, eta: 15:02:44, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3144, decode.loss_mask: 0.5303, decode.loss_dice: 0.7905, decode.d0.loss_cls: 1.4543, decode.d0.loss_mask: 0.5725, decode.d0.loss_dice: 0.8905, decode.d1.loss_cls: 0.4096, decode.d1.loss_mask: 0.5507, decode.d1.loss_dice: 0.8316, decode.d2.loss_cls: 0.3610, decode.d2.loss_mask: 0.5364, decode.d2.loss_dice: 0.8069, decode.d3.loss_cls: 0.3316, decode.d3.loss_mask: 0.5345, decode.d3.loss_dice: 0.7954, decode.d4.loss_cls: 0.3156, decode.d4.loss_mask: 0.5347, decode.d4.loss_dice: 0.7990, decode.d5.loss_cls: 0.3187, decode.d5.loss_mask: 0.5330, decode.d5.loss_dice: 0.7938, decode.d6.loss_cls: 0.3149, decode.d6.loss_mask: 0.5306, decode.d6.loss_dice: 0.7954, decode.d7.loss_cls: 0.3160, decode.d7.loss_mask: 0.5291, decode.d7.loss_dice: 0.7909, decode.d8.loss_cls: 0.3140, decode.d8.loss_mask: 0.5317, decode.d8.loss_dice: 0.7937, loss: 17.9212, grad_norm: 67.4982 2023-11-22 08:18:04,472 - mmseg - INFO - Iter [67750/160000] lr: 5.492e-06, eta: 15:02:13, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3052, decode.loss_mask: 0.5502, decode.loss_dice: 0.8027, decode.d0.loss_cls: 1.4288, decode.d0.loss_mask: 0.5845, decode.d0.loss_dice: 0.8986, decode.d1.loss_cls: 0.3928, decode.d1.loss_mask: 0.5703, decode.d1.loss_dice: 0.8452, decode.d2.loss_cls: 0.3456, decode.d2.loss_mask: 0.5589, decode.d2.loss_dice: 0.8244, decode.d3.loss_cls: 0.3224, decode.d3.loss_mask: 0.5519, decode.d3.loss_dice: 0.8105, decode.d4.loss_cls: 0.3186, decode.d4.loss_mask: 0.5503, decode.d4.loss_dice: 0.8060, decode.d5.loss_cls: 0.3080, decode.d5.loss_mask: 0.5524, decode.d5.loss_dice: 0.8047, decode.d6.loss_cls: 0.3100, decode.d6.loss_mask: 0.5506, decode.d6.loss_dice: 0.8000, decode.d7.loss_cls: 0.3095, decode.d7.loss_mask: 0.5512, decode.d7.loss_dice: 0.8025, decode.d8.loss_cls: 0.3042, decode.d8.loss_mask: 0.5491, decode.d8.loss_dice: 0.8038, loss: 18.1129, grad_norm: 69.8661 2023-11-22 08:18:32,817 - mmseg - INFO - Iter [67800/160000] lr: 5.489e-06, eta: 15:01:43, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3048, decode.loss_mask: 0.5398, decode.loss_dice: 0.7798, decode.d0.loss_cls: 1.4610, decode.d0.loss_mask: 0.5736, decode.d0.loss_dice: 0.8914, decode.d1.loss_cls: 0.3944, decode.d1.loss_mask: 0.5652, decode.d1.loss_dice: 0.8236, decode.d2.loss_cls: 0.3401, decode.d2.loss_mask: 0.5453, decode.d2.loss_dice: 0.8049, decode.d3.loss_cls: 0.3281, decode.d3.loss_mask: 0.5402, decode.d3.loss_dice: 0.7929, decode.d4.loss_cls: 0.3190, decode.d4.loss_mask: 0.5400, decode.d4.loss_dice: 0.7875, decode.d5.loss_cls: 0.3139, decode.d5.loss_mask: 0.5382, decode.d5.loss_dice: 0.7923, decode.d6.loss_cls: 0.3155, decode.d6.loss_mask: 0.5338, decode.d6.loss_dice: 0.7787, decode.d7.loss_cls: 0.3100, decode.d7.loss_mask: 0.5370, decode.d7.loss_dice: 0.7791, decode.d8.loss_cls: 0.3081, decode.d8.loss_mask: 0.5360, decode.d8.loss_dice: 0.7847, loss: 17.8589, grad_norm: 75.7782 2023-11-22 08:19:01,261 - mmseg - INFO - Iter [67850/160000] lr: 5.486e-06, eta: 15:01:12, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3168, decode.loss_mask: 0.5299, decode.loss_dice: 0.8042, decode.d0.loss_cls: 1.4416, decode.d0.loss_mask: 0.5654, decode.d0.loss_dice: 0.9113, decode.d1.loss_cls: 0.4188, decode.d1.loss_mask: 0.5452, decode.d1.loss_dice: 0.8563, decode.d2.loss_cls: 0.3608, decode.d2.loss_mask: 0.5373, decode.d2.loss_dice: 0.8276, decode.d3.loss_cls: 0.3406, decode.d3.loss_mask: 0.5320, decode.d3.loss_dice: 0.8149, decode.d4.loss_cls: 0.3313, decode.d4.loss_mask: 0.5312, decode.d4.loss_dice: 0.8120, decode.d5.loss_cls: 0.3245, decode.d5.loss_mask: 0.5322, decode.d5.loss_dice: 0.8160, decode.d6.loss_cls: 0.3207, decode.d6.loss_mask: 0.5291, decode.d6.loss_dice: 0.8091, decode.d7.loss_cls: 0.3171, decode.d7.loss_mask: 0.5294, decode.d7.loss_dice: 0.8045, decode.d8.loss_cls: 0.3171, decode.d8.loss_mask: 0.5307, decode.d8.loss_dice: 0.8113, loss: 18.1187, grad_norm: 74.2962 2023-11-22 08:19:29,932 - mmseg - INFO - Iter [67900/160000] lr: 5.483e-06, eta: 15:00:42, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3218, decode.loss_mask: 0.5481, decode.loss_dice: 0.8035, decode.d0.loss_cls: 1.4599, decode.d0.loss_mask: 0.5802, decode.d0.loss_dice: 0.9037, decode.d1.loss_cls: 0.4127, decode.d1.loss_mask: 0.5669, decode.d1.loss_dice: 0.8573, decode.d2.loss_cls: 0.3597, decode.d2.loss_mask: 0.5541, decode.d2.loss_dice: 0.8307, decode.d3.loss_cls: 0.3450, decode.d3.loss_mask: 0.5509, decode.d3.loss_dice: 0.8144, decode.d4.loss_cls: 0.3337, decode.d4.loss_mask: 0.5494, decode.d4.loss_dice: 0.8153, decode.d5.loss_cls: 0.3300, decode.d5.loss_mask: 0.5499, decode.d5.loss_dice: 0.8103, decode.d6.loss_cls: 0.3280, decode.d6.loss_mask: 0.5457, decode.d6.loss_dice: 0.8034, decode.d7.loss_cls: 0.3243, decode.d7.loss_mask: 0.5454, decode.d7.loss_dice: 0.8069, decode.d8.loss_cls: 0.3238, decode.d8.loss_mask: 0.5464, decode.d8.loss_dice: 0.8046, loss: 18.3260, grad_norm: 73.8282 2023-11-22 08:19:58,256 - mmseg - INFO - Iter [67950/160000] lr: 5.480e-06, eta: 15:00:11, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3106, decode.loss_mask: 0.5450, decode.loss_dice: 0.7986, decode.d0.loss_cls: 1.4180, decode.d0.loss_mask: 0.5857, decode.d0.loss_dice: 0.9100, decode.d1.loss_cls: 0.3964, decode.d1.loss_mask: 0.5691, decode.d1.loss_dice: 0.8383, decode.d2.loss_cls: 0.3358, decode.d2.loss_mask: 0.5566, decode.d2.loss_dice: 0.8241, decode.d3.loss_cls: 0.3249, decode.d3.loss_mask: 0.5511, decode.d3.loss_dice: 0.8077, decode.d4.loss_cls: 0.3177, decode.d4.loss_mask: 0.5509, decode.d4.loss_dice: 0.8045, decode.d5.loss_cls: 0.3158, decode.d5.loss_mask: 0.5516, decode.d5.loss_dice: 0.8033, decode.d6.loss_cls: 0.3075, decode.d6.loss_mask: 0.5481, decode.d6.loss_dice: 0.7993, decode.d7.loss_cls: 0.3089, decode.d7.loss_mask: 0.5454, decode.d7.loss_dice: 0.7976, decode.d8.loss_cls: 0.3122, decode.d8.loss_mask: 0.5439, decode.d8.loss_dice: 0.7973, loss: 18.0760, grad_norm: 74.7901 2023-11-22 08:20:26,566 - mmseg - INFO - Saving checkpoint at 68000 iterations 2023-11-22 08:20:34,641 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 08:20:34,641 - mmseg - INFO - Iter [68000/160000] lr: 5.477e-06, eta: 14:59:51, time: 0.728, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3049, decode.loss_mask: 0.5373, decode.loss_dice: 0.8011, decode.d0.loss_cls: 1.4319, decode.d0.loss_mask: 0.5718, decode.d0.loss_dice: 0.9040, decode.d1.loss_cls: 0.4038, decode.d1.loss_mask: 0.5592, decode.d1.loss_dice: 0.8525, decode.d2.loss_cls: 0.3402, decode.d2.loss_mask: 0.5479, decode.d2.loss_dice: 0.8268, decode.d3.loss_cls: 0.3219, decode.d3.loss_mask: 0.5380, decode.d3.loss_dice: 0.8081, decode.d4.loss_cls: 0.3182, decode.d4.loss_mask: 0.5403, decode.d4.loss_dice: 0.8071, decode.d5.loss_cls: 0.3074, decode.d5.loss_mask: 0.5402, decode.d5.loss_dice: 0.8133, decode.d6.loss_cls: 0.3063, decode.d6.loss_mask: 0.5370, decode.d6.loss_dice: 0.8027, decode.d7.loss_cls: 0.3045, decode.d7.loss_mask: 0.5359, decode.d7.loss_dice: 0.8043, decode.d8.loss_cls: 0.3061, decode.d8.loss_mask: 0.5359, decode.d8.loss_dice: 0.8019, loss: 18.0102, grad_norm: 70.5678 2023-11-22 08:20:54,464 - mmseg - INFO - per class results: 2023-11-22 08:20:54,469 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.42 | 87.02 | | building | 81.0 | 89.88 | | sky | 94.67 | 98.04 | | floor | 84.48 | 91.04 | | tree | 75.11 | 87.32 | | ceiling | 85.38 | 92.4 | | road | 88.03 | 92.43 | | bed | 92.16 | 96.09 | | windowpane | 64.35 | 81.0 | | grass | 69.74 | 84.5 | | cabinet | 64.76 | 80.1 | | sidewalk | 70.34 | 83.37 | | person | 86.24 | 93.65 | | earth | 40.86 | 52.43 | | door | 53.68 | 69.44 | | table | 69.68 | 83.78 | | mountain | 63.49 | 81.66 | | plant | 51.48 | 64.94 | | curtain | 75.89 | 87.37 | | chair | 67.2 | 78.72 | | car | 88.01 | 93.53 | | water | 57.0 | 71.59 | | painting | 73.6 | 91.06 | | sofa | 74.75 | 90.4 | | shelf | 47.69 | 67.53 | | house | 38.07 | 77.77 | | sea | 62.58 | 90.81 | | mirror | 73.1 | 84.87 | | rug | 69.85 | 82.3 | | field | 29.52 | 45.38 | | armchair | 50.75 | 66.31 | | seat | 64.56 | 81.61 | | fence | 49.32 | 69.36 | | desk | 53.23 | 77.24 | | rock | 48.41 | 61.49 | | wardrobe | 48.82 | 68.04 | | lamp | 72.69 | 82.21 | | bathtub | 76.2 | 82.78 | | railing | 44.44 | 58.75 | | cushion | 65.23 | 75.98 | | base | 33.54 | 44.14 | | box | 32.17 | 47.79 | | column | 47.62 | 62.99 | | signboard | 44.32 | 59.28 | | chest of drawers | 40.38 | 54.35 | | counter | 39.16 | 45.81 | | sand | 42.79 | 66.34 | | sink | 83.58 | 91.56 | | skyscraper | 34.22 | 43.16 | | fireplace | 79.95 | 89.55 | | refrigerator | 83.88 | 90.42 | | grandstand | 49.96 | 77.6 | | path | 24.4 | 42.53 | | stairs | 29.06 | 36.83 | | runway | 73.83 | 93.19 | | case | 71.74 | 85.02 | | pool table | 94.06 | 97.49 | | pillow | 61.31 | 79.45 | | screen door | 80.77 | 88.82 | | stairway | 32.04 | 55.01 | | river | 15.29 | 20.28 | | bridge | 62.73 | 93.19 | | bookcase | 36.63 | 51.37 | | blind | 46.16 | 59.5 | | coffee table | 70.37 | 84.58 | | toilet | 90.11 | 92.9 | | flower | 43.18 | 66.19 | | book | 55.17 | 79.08 | | hill | 8.96 | 15.9 | | bench | 64.57 | 72.96 | | countertop | 62.98 | 73.34 | | stove | 84.82 | 88.57 | | palm | 54.42 | 84.34 | | kitchen island | 48.21 | 64.31 | | computer | 73.3 | 81.74 | | swivel chair | 56.62 | 83.53 | | boat | 61.24 | 87.28 | | bar | 58.18 | 60.83 | | arcade machine | 67.21 | 71.19 | | hovel | 43.22 | 49.21 | | bus | 94.35 | 97.66 | | towel | 75.85 | 91.65 | | light | 66.33 | 77.72 | | truck | 48.47 | 62.55 | | tower | 31.07 | 56.16 | | chandelier | 71.29 | 89.09 | | awning | 33.23 | 48.64 | | streetlight | 46.4 | 56.77 | | booth | 56.49 | 58.44 | | television receiver | 79.4 | 88.79 | | airplane | 67.86 | 73.06 | | dirt track | 19.11 | 20.16 | | apparel | 44.02 | 63.28 | | pole | 36.21 | 76.41 | | land | 4.57 | 5.73 | | bannister | 18.7 | 25.49 | | escalator | 25.23 | 26.37 | | ottoman | 52.23 | 68.26 | | bottle | 45.79 | 64.7 | | buffet | 34.79 | 42.63 | | poster | 22.96 | 43.62 | | stage | 16.2 | 23.88 | | van | 49.39 | 73.98 | | ship | 14.1 | 14.4 | | fountain | 21.5 | 21.85 | | conveyer belt | 74.31 | 92.32 | | canopy | 11.96 | 21.09 | | washer | 70.88 | 73.02 | | plaything | 36.15 | 61.42 | | swimming pool | 67.12 | 71.59 | | stool | 52.84 | 73.06 | | barrel | 85.08 | 97.61 | | basket | 39.76 | 59.8 | | waterfall | 65.91 | 92.97 | | tent | 81.8 | 98.41 | | bag | 25.62 | 39.34 | | minibike | 71.13 | 91.98 | | cradle | 86.9 | 97.8 | | oven | 29.41 | 83.39 | | ball | 26.12 | 27.95 | | food | 68.94 | 78.77 | | step | 30.5 | 44.69 | | tank | 32.03 | 52.17 | | trade name | 31.05 | 38.48 | | microwave | 43.29 | 46.01 | | pot | 51.81 | 65.98 | | animal | 68.05 | 69.57 | | bicycle | 59.43 | 84.51 | | lake | 0.0 | 0.0 | | dishwasher | 82.96 | 88.08 | | screen | 49.09 | 92.16 | | blanket | 33.14 | 42.39 | | sculpture | 62.23 | 89.65 | | hood | 73.41 | 76.91 | | sconce | 58.43 | 78.25 | | vase | 54.41 | 77.14 | | traffic light | 42.19 | 67.87 | | tray | 22.01 | 32.14 | | ashcan | 45.22 | 64.99 | | fan | 71.89 | 86.0 | | pier | 32.59 | 41.88 | | crt screen | 3.92 | 10.96 | | plate | 60.66 | 85.86 | | monitor | 1.56 | 2.2 | | bulletin board | 53.37 | 80.05 | | shower | 15.63 | 25.73 | | radiator | 72.17 | 89.85 | | glass | 24.33 | 27.29 | | clock | 52.26 | 68.21 | | flag | 70.9 | 89.16 | +---------------------+-------+-------+ 2023-11-22 08:20:54,469 - mmseg - INFO - Summary: 2023-11-22 08:20:54,469 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.64 | 53.98 | 67.84 | +-------+-------+-------+ 2023-11-22 08:20:54,470 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 08:20:54,471 - mmseg - INFO - Iter(val) [250] aAcc: 0.8464, mIoU: 0.5398, mAcc: 0.6784, IoU.wall: 0.8042, IoU.building: 0.8100, IoU.sky: 0.9467, IoU.floor: 0.8448, IoU.tree: 0.7511, IoU.ceiling: 0.8538, IoU.road: 0.8803, IoU.bed : 0.9216, IoU.windowpane: 0.6435, IoU.grass: 0.6974, IoU.cabinet: 0.6476, IoU.sidewalk: 0.7034, IoU.person: 0.8624, IoU.earth: 0.4086, IoU.door: 0.5368, IoU.table: 0.6968, IoU.mountain: 0.6349, IoU.plant: 0.5148, IoU.curtain: 0.7589, IoU.chair: 0.6720, IoU.car: 0.8801, IoU.water: 0.5700, IoU.painting: 0.7360, IoU.sofa: 0.7475, IoU.shelf: 0.4769, IoU.house: 0.3807, IoU.sea: 0.6258, IoU.mirror: 0.7310, IoU.rug: 0.6985, IoU.field: 0.2952, IoU.armchair: 0.5075, IoU.seat: 0.6456, IoU.fence: 0.4932, IoU.desk: 0.5323, IoU.rock: 0.4841, IoU.wardrobe: 0.4882, IoU.lamp: 0.7269, IoU.bathtub: 0.7620, IoU.railing: 0.4444, IoU.cushion: 0.6523, IoU.base: 0.3354, IoU.box: 0.3217, IoU.column: 0.4762, IoU.signboard: 0.4432, IoU.chest of drawers: 0.4038, IoU.counter: 0.3916, IoU.sand: 0.4279, IoU.sink: 0.8358, IoU.skyscraper: 0.3422, IoU.fireplace: 0.7995, IoU.refrigerator: 0.8388, IoU.grandstand: 0.4996, IoU.path: 0.2440, IoU.stairs: 0.2906, IoU.runway: 0.7383, IoU.case: 0.7174, IoU.pool table: 0.9406, IoU.pillow: 0.6131, IoU.screen door: 0.8077, IoU.stairway: 0.3204, IoU.river: 0.1529, IoU.bridge: 0.6273, IoU.bookcase: 0.3663, IoU.blind: 0.4616, IoU.coffee table: 0.7037, IoU.toilet: 0.9011, IoU.flower: 0.4318, IoU.book: 0.5517, IoU.hill: 0.0896, IoU.bench: 0.6457, IoU.countertop: 0.6298, IoU.stove: 0.8482, IoU.palm: 0.5442, IoU.kitchen island: 0.4821, IoU.computer: 0.7330, IoU.swivel chair: 0.5662, IoU.boat: 0.6124, IoU.bar: 0.5818, IoU.arcade machine: 0.6721, IoU.hovel: 0.4322, IoU.bus: 0.9435, IoU.towel: 0.7585, IoU.light: 0.6633, IoU.truck: 0.4847, IoU.tower: 0.3107, IoU.chandelier: 0.7129, IoU.awning: 0.3323, IoU.streetlight: 0.4640, IoU.booth: 0.5649, IoU.television receiver: 0.7940, IoU.airplane: 0.6786, IoU.dirt track: 0.1911, IoU.apparel: 0.4402, IoU.pole: 0.3621, IoU.land: 0.0457, IoU.bannister: 0.1870, IoU.escalator: 0.2523, IoU.ottoman: 0.5223, IoU.bottle: 0.4579, IoU.buffet: 0.3479, IoU.poster: 0.2296, IoU.stage: 0.1620, IoU.van: 0.4939, IoU.ship: 0.1410, IoU.fountain: 0.2150, IoU.conveyer belt: 0.7431, IoU.canopy: 0.1196, IoU.washer: 0.7088, IoU.plaything: 0.3615, IoU.swimming pool: 0.6712, IoU.stool: 0.5284, IoU.barrel: 0.8508, IoU.basket: 0.3976, IoU.waterfall: 0.6591, IoU.tent: 0.8180, IoU.bag: 0.2562, IoU.minibike: 0.7113, IoU.cradle: 0.8690, IoU.oven: 0.2941, IoU.ball: 0.2612, IoU.food: 0.6894, IoU.step: 0.3050, IoU.tank: 0.3203, IoU.trade name: 0.3105, IoU.microwave: 0.4329, IoU.pot: 0.5181, IoU.animal: 0.6805, IoU.bicycle: 0.5943, IoU.lake: 0.0000, IoU.dishwasher: 0.8296, IoU.screen: 0.4909, IoU.blanket: 0.3314, IoU.sculpture: 0.6223, IoU.hood: 0.7341, IoU.sconce: 0.5843, IoU.vase: 0.5441, IoU.traffic light: 0.4219, IoU.tray: 0.2201, IoU.ashcan: 0.4522, IoU.fan: 0.7189, IoU.pier: 0.3259, IoU.crt screen: 0.0392, IoU.plate: 0.6066, IoU.monitor: 0.0156, IoU.bulletin board: 0.5337, IoU.shower: 0.1563, IoU.radiator: 0.7217, IoU.glass: 0.2433, IoU.clock: 0.5226, IoU.flag: 0.7090, Acc.wall: 0.8702, Acc.building: 0.8988, Acc.sky: 0.9804, Acc.floor: 0.9104, Acc.tree: 0.8732, Acc.ceiling: 0.9240, Acc.road: 0.9243, Acc.bed : 0.9609, Acc.windowpane: 0.8100, Acc.grass: 0.8450, Acc.cabinet: 0.8010, Acc.sidewalk: 0.8337, Acc.person: 0.9365, Acc.earth: 0.5243, Acc.door: 0.6944, Acc.table: 0.8378, Acc.mountain: 0.8166, Acc.plant: 0.6494, Acc.curtain: 0.8737, Acc.chair: 0.7872, Acc.car: 0.9353, Acc.water: 0.7159, Acc.painting: 0.9106, Acc.sofa: 0.9040, Acc.shelf: 0.6753, Acc.house: 0.7777, Acc.sea: 0.9081, Acc.mirror: 0.8487, Acc.rug: 0.8230, Acc.field: 0.4538, Acc.armchair: 0.6631, Acc.seat: 0.8161, Acc.fence: 0.6936, Acc.desk: 0.7724, Acc.rock: 0.6149, Acc.wardrobe: 0.6804, Acc.lamp: 0.8221, Acc.bathtub: 0.8278, Acc.railing: 0.5875, Acc.cushion: 0.7598, Acc.base: 0.4414, Acc.box: 0.4779, Acc.column: 0.6299, Acc.signboard: 0.5928, Acc.chest of drawers: 0.5435, Acc.counter: 0.4581, Acc.sand: 0.6634, Acc.sink: 0.9156, Acc.skyscraper: 0.4316, Acc.fireplace: 0.8955, Acc.refrigerator: 0.9042, Acc.grandstand: 0.7760, Acc.path: 0.4253, Acc.stairs: 0.3683, Acc.runway: 0.9319, Acc.case: 0.8502, Acc.pool table: 0.9749, Acc.pillow: 0.7945, Acc.screen door: 0.8882, Acc.stairway: 0.5501, Acc.river: 0.2028, Acc.bridge: 0.9319, Acc.bookcase: 0.5137, Acc.blind: 0.5950, Acc.coffee table: 0.8458, Acc.toilet: 0.9290, Acc.flower: 0.6619, Acc.book: 0.7908, Acc.hill: 0.1590, Acc.bench: 0.7296, Acc.countertop: 0.7334, Acc.stove: 0.8857, Acc.palm: 0.8434, Acc.kitchen island: 0.6431, Acc.computer: 0.8174, Acc.swivel chair: 0.8353, Acc.boat: 0.8728, Acc.bar: 0.6083, Acc.arcade machine: 0.7119, Acc.hovel: 0.4921, Acc.bus: 0.9766, Acc.towel: 0.9165, Acc.light: 0.7772, Acc.truck: 0.6255, Acc.tower: 0.5616, Acc.chandelier: 0.8909, Acc.awning: 0.4864, Acc.streetlight: 0.5677, Acc.booth: 0.5844, Acc.television receiver: 0.8879, Acc.airplane: 0.7306, Acc.dirt track: 0.2016, Acc.apparel: 0.6328, Acc.pole: 0.7641, Acc.land: 0.0573, Acc.bannister: 0.2549, Acc.escalator: 0.2637, Acc.ottoman: 0.6826, Acc.bottle: 0.6470, Acc.buffet: 0.4263, Acc.poster: 0.4362, Acc.stage: 0.2388, Acc.van: 0.7398, Acc.ship: 0.1440, Acc.fountain: 0.2185, Acc.conveyer belt: 0.9232, Acc.canopy: 0.2109, Acc.washer: 0.7302, Acc.plaything: 0.6142, Acc.swimming pool: 0.7159, Acc.stool: 0.7306, Acc.barrel: 0.9761, Acc.basket: 0.5980, Acc.waterfall: 0.9297, Acc.tent: 0.9841, Acc.bag: 0.3934, Acc.minibike: 0.9198, Acc.cradle: 0.9780, Acc.oven: 0.8339, Acc.ball: 0.2795, Acc.food: 0.7877, Acc.step: 0.4469, Acc.tank: 0.5217, Acc.trade name: 0.3848, Acc.microwave: 0.4601, Acc.pot: 0.6598, Acc.animal: 0.6957, Acc.bicycle: 0.8451, Acc.lake: 0.0000, Acc.dishwasher: 0.8808, Acc.screen: 0.9216, Acc.blanket: 0.4239, Acc.sculpture: 0.8965, Acc.hood: 0.7691, Acc.sconce: 0.7825, Acc.vase: 0.7714, Acc.traffic light: 0.6787, Acc.tray: 0.3214, Acc.ashcan: 0.6499, Acc.fan: 0.8600, Acc.pier: 0.4188, Acc.crt screen: 0.1096, Acc.plate: 0.8586, Acc.monitor: 0.0220, Acc.bulletin board: 0.8005, Acc.shower: 0.2573, Acc.radiator: 0.8985, Acc.glass: 0.2729, Acc.clock: 0.6821, Acc.flag: 0.8916 2023-11-22 08:21:22,787 - mmseg - INFO - Iter [68050/160000] lr: 5.474e-06, eta: 14:59:47, time: 0.963, data_time: 0.410, memory: 38143, decode.loss_cls: 0.3170, decode.loss_mask: 0.5393, decode.loss_dice: 0.7851, decode.d0.loss_cls: 1.4424, decode.d0.loss_mask: 0.5659, decode.d0.loss_dice: 0.8795, decode.d1.loss_cls: 0.4045, decode.d1.loss_mask: 0.5594, decode.d1.loss_dice: 0.8397, decode.d2.loss_cls: 0.3503, decode.d2.loss_mask: 0.5461, decode.d2.loss_dice: 0.8121, decode.d3.loss_cls: 0.3391, decode.d3.loss_mask: 0.5386, decode.d3.loss_dice: 0.7919, decode.d4.loss_cls: 0.3253, decode.d4.loss_mask: 0.5371, decode.d4.loss_dice: 0.7930, decode.d5.loss_cls: 0.3219, decode.d5.loss_mask: 0.5383, decode.d5.loss_dice: 0.7894, decode.d6.loss_cls: 0.3176, decode.d6.loss_mask: 0.5382, decode.d6.loss_dice: 0.7884, decode.d7.loss_cls: 0.3209, decode.d7.loss_mask: 0.5366, decode.d7.loss_dice: 0.7874, decode.d8.loss_cls: 0.3185, decode.d8.loss_mask: 0.5378, decode.d8.loss_dice: 0.7856, loss: 17.9471, grad_norm: 71.0629 2023-11-22 08:21:51,086 - mmseg - INFO - Iter [68100/160000] lr: 5.471e-06, eta: 14:59:17, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3145, decode.loss_mask: 0.5331, decode.loss_dice: 0.7848, decode.d0.loss_cls: 1.4316, decode.d0.loss_mask: 0.5696, decode.d0.loss_dice: 0.8824, decode.d1.loss_cls: 0.4008, decode.d1.loss_mask: 0.5569, decode.d1.loss_dice: 0.8341, decode.d2.loss_cls: 0.3418, decode.d2.loss_mask: 0.5473, decode.d2.loss_dice: 0.8074, decode.d3.loss_cls: 0.3283, decode.d3.loss_mask: 0.5400, decode.d3.loss_dice: 0.7942, decode.d4.loss_cls: 0.3217, decode.d4.loss_mask: 0.5398, decode.d4.loss_dice: 0.7907, decode.d5.loss_cls: 0.3103, decode.d5.loss_mask: 0.5387, decode.d5.loss_dice: 0.7875, decode.d6.loss_cls: 0.3148, decode.d6.loss_mask: 0.5353, decode.d6.loss_dice: 0.7849, decode.d7.loss_cls: 0.3099, decode.d7.loss_mask: 0.5349, decode.d7.loss_dice: 0.7868, decode.d8.loss_cls: 0.3091, decode.d8.loss_mask: 0.5345, decode.d8.loss_dice: 0.7848, loss: 17.8506, grad_norm: 69.3051 2023-11-22 08:22:19,555 - mmseg - INFO - Iter [68150/160000] lr: 5.468e-06, eta: 14:58:46, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3262, decode.loss_mask: 0.5452, decode.loss_dice: 0.7892, decode.d0.loss_cls: 1.4257, decode.d0.loss_mask: 0.5856, decode.d0.loss_dice: 0.8940, decode.d1.loss_cls: 0.4185, decode.d1.loss_mask: 0.5654, decode.d1.loss_dice: 0.8371, decode.d2.loss_cls: 0.3753, decode.d2.loss_mask: 0.5548, decode.d2.loss_dice: 0.8149, decode.d3.loss_cls: 0.3487, decode.d3.loss_mask: 0.5545, decode.d3.loss_dice: 0.7952, decode.d4.loss_cls: 0.3448, decode.d4.loss_mask: 0.5487, decode.d4.loss_dice: 0.7912, decode.d5.loss_cls: 0.3396, decode.d5.loss_mask: 0.5503, decode.d5.loss_dice: 0.7911, decode.d6.loss_cls: 0.3425, decode.d6.loss_mask: 0.5444, decode.d6.loss_dice: 0.7887, decode.d7.loss_cls: 0.3351, decode.d7.loss_mask: 0.5455, decode.d7.loss_dice: 0.7866, decode.d8.loss_cls: 0.3363, decode.d8.loss_mask: 0.5450, decode.d8.loss_dice: 0.7874, loss: 18.2075, grad_norm: 77.6099 2023-11-22 08:22:48,160 - mmseg - INFO - Iter [68200/160000] lr: 5.465e-06, eta: 14:58:16, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2999, decode.loss_mask: 0.5265, decode.loss_dice: 0.7813, decode.d0.loss_cls: 1.3903, decode.d0.loss_mask: 0.5685, decode.d0.loss_dice: 0.8814, decode.d1.loss_cls: 0.3932, decode.d1.loss_mask: 0.5485, decode.d1.loss_dice: 0.8287, decode.d2.loss_cls: 0.3316, decode.d2.loss_mask: 0.5421, decode.d2.loss_dice: 0.8015, decode.d3.loss_cls: 0.3152, decode.d3.loss_mask: 0.5329, decode.d3.loss_dice: 0.7886, decode.d4.loss_cls: 0.3069, decode.d4.loss_mask: 0.5314, decode.d4.loss_dice: 0.7921, decode.d5.loss_cls: 0.3053, decode.d5.loss_mask: 0.5320, decode.d5.loss_dice: 0.7889, decode.d6.loss_cls: 0.3066, decode.d6.loss_mask: 0.5265, decode.d6.loss_dice: 0.7774, decode.d7.loss_cls: 0.3021, decode.d7.loss_mask: 0.5281, decode.d7.loss_dice: 0.7793, decode.d8.loss_cls: 0.3031, decode.d8.loss_mask: 0.5271, decode.d8.loss_dice: 0.7806, loss: 17.6174, grad_norm: 74.5382 2023-11-22 08:23:19,052 - mmseg - INFO - Iter [68250/160000] lr: 5.462e-06, eta: 14:57:48, time: 0.618, data_time: 0.059, memory: 38143, decode.loss_cls: 0.3247, decode.loss_mask: 0.5389, decode.loss_dice: 0.7991, decode.d0.loss_cls: 1.4761, decode.d0.loss_mask: 0.5716, decode.d0.loss_dice: 0.9001, decode.d1.loss_cls: 0.4207, decode.d1.loss_mask: 0.5571, decode.d1.loss_dice: 0.8413, decode.d2.loss_cls: 0.3683, decode.d2.loss_mask: 0.5459, decode.d2.loss_dice: 0.8180, decode.d3.loss_cls: 0.3462, decode.d3.loss_mask: 0.5430, decode.d3.loss_dice: 0.8047, decode.d4.loss_cls: 0.3377, decode.d4.loss_mask: 0.5410, decode.d4.loss_dice: 0.8005, decode.d5.loss_cls: 0.3299, decode.d5.loss_mask: 0.5418, decode.d5.loss_dice: 0.7996, decode.d6.loss_cls: 0.3259, decode.d6.loss_mask: 0.5386, decode.d6.loss_dice: 0.7929, decode.d7.loss_cls: 0.3234, decode.d7.loss_mask: 0.5381, decode.d7.loss_dice: 0.7951, decode.d8.loss_cls: 0.3256, decode.d8.loss_mask: 0.5371, decode.d8.loss_dice: 0.7928, loss: 18.1756, grad_norm: 69.5569 2023-11-22 08:23:47,468 - mmseg - INFO - Iter [68300/160000] lr: 5.459e-06, eta: 14:57:18, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3008, decode.loss_mask: 0.5327, decode.loss_dice: 0.7950, decode.d0.loss_cls: 1.4189, decode.d0.loss_mask: 0.5747, decode.d0.loss_dice: 0.9039, decode.d1.loss_cls: 0.3910, decode.d1.loss_mask: 0.5578, decode.d1.loss_dice: 0.8479, decode.d2.loss_cls: 0.3400, decode.d2.loss_mask: 0.5453, decode.d2.loss_dice: 0.8235, decode.d3.loss_cls: 0.3204, decode.d3.loss_mask: 0.5369, decode.d3.loss_dice: 0.8056, decode.d4.loss_cls: 0.3088, decode.d4.loss_mask: 0.5360, decode.d4.loss_dice: 0.8085, decode.d5.loss_cls: 0.3054, decode.d5.loss_mask: 0.5350, decode.d5.loss_dice: 0.8058, decode.d6.loss_cls: 0.3077, decode.d6.loss_mask: 0.5345, decode.d6.loss_dice: 0.7987, decode.d7.loss_cls: 0.2986, decode.d7.loss_mask: 0.5328, decode.d7.loss_dice: 0.8009, decode.d8.loss_cls: 0.2996, decode.d8.loss_mask: 0.5315, decode.d8.loss_dice: 0.7941, loss: 17.8921, grad_norm: 72.0538 2023-11-22 08:24:15,852 - mmseg - INFO - Iter [68350/160000] lr: 5.456e-06, eta: 14:56:47, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3128, decode.loss_mask: 0.5357, decode.loss_dice: 0.7830, decode.d0.loss_cls: 1.4675, decode.d0.loss_mask: 0.5698, decode.d0.loss_dice: 0.8938, decode.d1.loss_cls: 0.4076, decode.d1.loss_mask: 0.5578, decode.d1.loss_dice: 0.8323, decode.d2.loss_cls: 0.3593, decode.d2.loss_mask: 0.5470, decode.d2.loss_dice: 0.8118, decode.d3.loss_cls: 0.3322, decode.d3.loss_mask: 0.5369, decode.d3.loss_dice: 0.7948, decode.d4.loss_cls: 0.3283, decode.d4.loss_mask: 0.5349, decode.d4.loss_dice: 0.7900, decode.d5.loss_cls: 0.3183, decode.d5.loss_mask: 0.5358, decode.d5.loss_dice: 0.7897, decode.d6.loss_cls: 0.3190, decode.d6.loss_mask: 0.5351, decode.d6.loss_dice: 0.7838, decode.d7.loss_cls: 0.3227, decode.d7.loss_mask: 0.5351, decode.d7.loss_dice: 0.7847, decode.d8.loss_cls: 0.3187, decode.d8.loss_mask: 0.5348, decode.d8.loss_dice: 0.7863, loss: 17.9594, grad_norm: 75.8309 2023-11-22 08:24:44,099 - mmseg - INFO - Iter [68400/160000] lr: 5.453e-06, eta: 14:56:16, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3104, decode.loss_mask: 0.5262, decode.loss_dice: 0.7773, decode.d0.loss_cls: 1.4280, decode.d0.loss_mask: 0.5586, decode.d0.loss_dice: 0.8810, decode.d1.loss_cls: 0.4027, decode.d1.loss_mask: 0.5456, decode.d1.loss_dice: 0.8188, decode.d2.loss_cls: 0.3466, decode.d2.loss_mask: 0.5397, decode.d2.loss_dice: 0.8048, decode.d3.loss_cls: 0.3278, decode.d3.loss_mask: 0.5320, decode.d3.loss_dice: 0.7814, decode.d4.loss_cls: 0.3198, decode.d4.loss_mask: 0.5287, decode.d4.loss_dice: 0.7823, decode.d5.loss_cls: 0.3161, decode.d5.loss_mask: 0.5312, decode.d5.loss_dice: 0.7814, decode.d6.loss_cls: 0.3128, decode.d6.loss_mask: 0.5299, decode.d6.loss_dice: 0.7744, decode.d7.loss_cls: 0.3100, decode.d7.loss_mask: 0.5278, decode.d7.loss_dice: 0.7759, decode.d8.loss_cls: 0.3086, decode.d8.loss_mask: 0.5262, decode.d8.loss_dice: 0.7775, loss: 17.6836, grad_norm: 74.4293 2023-11-22 08:25:12,724 - mmseg - INFO - Iter [68450/160000] lr: 5.450e-06, eta: 14:55:46, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3337, decode.loss_mask: 0.5297, decode.loss_dice: 0.8028, decode.d0.loss_cls: 1.4743, decode.d0.loss_mask: 0.5662, decode.d0.loss_dice: 0.9151, decode.d1.loss_cls: 0.4366, decode.d1.loss_mask: 0.5474, decode.d1.loss_dice: 0.8520, decode.d2.loss_cls: 0.3775, decode.d2.loss_mask: 0.5388, decode.d2.loss_dice: 0.8267, decode.d3.loss_cls: 0.3555, decode.d3.loss_mask: 0.5356, decode.d3.loss_dice: 0.8113, decode.d4.loss_cls: 0.3450, decode.d4.loss_mask: 0.5338, decode.d4.loss_dice: 0.8122, decode.d5.loss_cls: 0.3398, decode.d5.loss_mask: 0.5318, decode.d5.loss_dice: 0.8118, decode.d6.loss_cls: 0.3400, decode.d6.loss_mask: 0.5300, decode.d6.loss_dice: 0.8081, decode.d7.loss_cls: 0.3332, decode.d7.loss_mask: 0.5320, decode.d7.loss_dice: 0.8047, decode.d8.loss_cls: 0.3367, decode.d8.loss_mask: 0.5301, decode.d8.loss_dice: 0.8040, loss: 18.2966, grad_norm: 71.3618 2023-11-22 08:25:41,507 - mmseg - INFO - Iter [68500/160000] lr: 5.447e-06, eta: 14:55:16, time: 0.578, data_time: 0.015, memory: 38143, decode.loss_cls: 0.3117, decode.loss_mask: 0.5219, decode.loss_dice: 0.7786, decode.d0.loss_cls: 1.4401, decode.d0.loss_mask: 0.5511, decode.d0.loss_dice: 0.8759, decode.d1.loss_cls: 0.4101, decode.d1.loss_mask: 0.5393, decode.d1.loss_dice: 0.8294, decode.d2.loss_cls: 0.3474, decode.d2.loss_mask: 0.5322, decode.d2.loss_dice: 0.8024, decode.d3.loss_cls: 0.3301, decode.d3.loss_mask: 0.5267, decode.d3.loss_dice: 0.7825, decode.d4.loss_cls: 0.3243, decode.d4.loss_mask: 0.5239, decode.d4.loss_dice: 0.7820, decode.d5.loss_cls: 0.3248, decode.d5.loss_mask: 0.5224, decode.d5.loss_dice: 0.7771, decode.d6.loss_cls: 0.3146, decode.d6.loss_mask: 0.5258, decode.d6.loss_dice: 0.7730, decode.d7.loss_cls: 0.3198, decode.d7.loss_mask: 0.5227, decode.d7.loss_dice: 0.7735, decode.d8.loss_cls: 0.3125, decode.d8.loss_mask: 0.5210, decode.d8.loss_dice: 0.7758, loss: 17.6723, grad_norm: 69.8111 2023-11-22 08:26:09,804 - mmseg - INFO - Iter [68550/160000] lr: 5.444e-06, eta: 14:54:45, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3266, decode.loss_mask: 0.5319, decode.loss_dice: 0.7969, decode.d0.loss_cls: 1.4590, decode.d0.loss_mask: 0.5698, decode.d0.loss_dice: 0.8933, decode.d1.loss_cls: 0.4146, decode.d1.loss_mask: 0.5591, decode.d1.loss_dice: 0.8488, decode.d2.loss_cls: 0.3542, decode.d2.loss_mask: 0.5433, decode.d2.loss_dice: 0.8222, decode.d3.loss_cls: 0.3393, decode.d3.loss_mask: 0.5395, decode.d3.loss_dice: 0.8113, decode.d4.loss_cls: 0.3373, decode.d4.loss_mask: 0.5389, decode.d4.loss_dice: 0.8089, decode.d5.loss_cls: 0.3364, decode.d5.loss_mask: 0.5360, decode.d5.loss_dice: 0.8038, decode.d6.loss_cls: 0.3301, decode.d6.loss_mask: 0.5356, decode.d6.loss_dice: 0.7964, decode.d7.loss_cls: 0.3244, decode.d7.loss_mask: 0.5367, decode.d7.loss_dice: 0.7997, decode.d8.loss_cls: 0.3250, decode.d8.loss_mask: 0.5334, decode.d8.loss_dice: 0.8003, loss: 18.1528, grad_norm: 76.5118 2023-11-22 08:26:38,220 - mmseg - INFO - Iter [68600/160000] lr: 5.441e-06, eta: 14:54:14, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3071, decode.loss_mask: 0.5161, decode.loss_dice: 0.7630, decode.d0.loss_cls: 1.4228, decode.d0.loss_mask: 0.5540, decode.d0.loss_dice: 0.8710, decode.d1.loss_cls: 0.3965, decode.d1.loss_mask: 0.5372, decode.d1.loss_dice: 0.8115, decode.d2.loss_cls: 0.3383, decode.d2.loss_mask: 0.5237, decode.d2.loss_dice: 0.7917, decode.d3.loss_cls: 0.3231, decode.d3.loss_mask: 0.5190, decode.d3.loss_dice: 0.7689, decode.d4.loss_cls: 0.3114, decode.d4.loss_mask: 0.5188, decode.d4.loss_dice: 0.7687, decode.d5.loss_cls: 0.3127, decode.d5.loss_mask: 0.5181, decode.d5.loss_dice: 0.7669, decode.d6.loss_cls: 0.3111, decode.d6.loss_mask: 0.5170, decode.d6.loss_dice: 0.7591, decode.d7.loss_cls: 0.3069, decode.d7.loss_mask: 0.5145, decode.d7.loss_dice: 0.7644, decode.d8.loss_cls: 0.3090, decode.d8.loss_mask: 0.5162, decode.d8.loss_dice: 0.7624, loss: 17.4010, grad_norm: 65.7907 2023-11-22 08:27:06,561 - mmseg - INFO - Iter [68650/160000] lr: 5.438e-06, eta: 14:53:44, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2925, decode.loss_mask: 0.5183, decode.loss_dice: 0.7870, decode.d0.loss_cls: 1.4293, decode.d0.loss_mask: 0.5492, decode.d0.loss_dice: 0.8941, decode.d1.loss_cls: 0.3847, decode.d1.loss_mask: 0.5373, decode.d1.loss_dice: 0.8396, decode.d2.loss_cls: 0.3342, decode.d2.loss_mask: 0.5270, decode.d2.loss_dice: 0.8129, decode.d3.loss_cls: 0.3136, decode.d3.loss_mask: 0.5211, decode.d3.loss_dice: 0.7987, decode.d4.loss_cls: 0.3050, decode.d4.loss_mask: 0.5196, decode.d4.loss_dice: 0.7960, decode.d5.loss_cls: 0.3030, decode.d5.loss_mask: 0.5209, decode.d5.loss_dice: 0.7916, decode.d6.loss_cls: 0.3029, decode.d6.loss_mask: 0.5169, decode.d6.loss_dice: 0.7865, decode.d7.loss_cls: 0.2949, decode.d7.loss_mask: 0.5176, decode.d7.loss_dice: 0.7898, decode.d8.loss_cls: 0.2908, decode.d8.loss_mask: 0.5184, decode.d8.loss_dice: 0.7927, loss: 17.5859, grad_norm: 73.1522 2023-11-22 08:27:34,833 - mmseg - INFO - Iter [68700/160000] lr: 5.435e-06, eta: 14:53:13, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2797, decode.loss_mask: 0.5249, decode.loss_dice: 0.7815, decode.d0.loss_cls: 1.3877, decode.d0.loss_mask: 0.5539, decode.d0.loss_dice: 0.8724, decode.d1.loss_cls: 0.3663, decode.d1.loss_mask: 0.5416, decode.d1.loss_dice: 0.8223, decode.d2.loss_cls: 0.3160, decode.d2.loss_mask: 0.5334, decode.d2.loss_dice: 0.8004, decode.d3.loss_cls: 0.2992, decode.d3.loss_mask: 0.5278, decode.d3.loss_dice: 0.7862, decode.d4.loss_cls: 0.2917, decode.d4.loss_mask: 0.5288, decode.d4.loss_dice: 0.7897, decode.d5.loss_cls: 0.2870, decode.d5.loss_mask: 0.5259, decode.d5.loss_dice: 0.7829, decode.d6.loss_cls: 0.2867, decode.d6.loss_mask: 0.5252, decode.d6.loss_dice: 0.7787, decode.d7.loss_cls: 0.2843, decode.d7.loss_mask: 0.5261, decode.d7.loss_dice: 0.7767, decode.d8.loss_cls: 0.2799, decode.d8.loss_mask: 0.5247, decode.d8.loss_dice: 0.7795, loss: 17.3612, grad_norm: 69.0407 2023-11-22 08:28:03,385 - mmseg - INFO - Iter [68750/160000] lr: 5.432e-06, eta: 14:52:43, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3108, decode.loss_mask: 0.5292, decode.loss_dice: 0.7754, decode.d0.loss_cls: 1.4401, decode.d0.loss_mask: 0.5666, decode.d0.loss_dice: 0.8653, decode.d1.loss_cls: 0.3981, decode.d1.loss_mask: 0.5515, decode.d1.loss_dice: 0.8183, decode.d2.loss_cls: 0.3507, decode.d2.loss_mask: 0.5389, decode.d2.loss_dice: 0.7926, decode.d3.loss_cls: 0.3334, decode.d3.loss_mask: 0.5328, decode.d3.loss_dice: 0.7866, decode.d4.loss_cls: 0.3187, decode.d4.loss_mask: 0.5333, decode.d4.loss_dice: 0.7865, decode.d5.loss_cls: 0.3191, decode.d5.loss_mask: 0.5312, decode.d5.loss_dice: 0.7808, decode.d6.loss_cls: 0.3106, decode.d6.loss_mask: 0.5306, decode.d6.loss_dice: 0.7744, decode.d7.loss_cls: 0.3122, decode.d7.loss_mask: 0.5306, decode.d7.loss_dice: 0.7777, decode.d8.loss_cls: 0.3159, decode.d8.loss_mask: 0.5315, decode.d8.loss_dice: 0.7785, loss: 17.7220, grad_norm: 75.3793 2023-11-22 08:28:32,089 - mmseg - INFO - Iter [68800/160000] lr: 5.429e-06, eta: 14:52:12, time: 0.574, data_time: 0.015, memory: 38143, decode.loss_cls: 0.3059, decode.loss_mask: 0.5289, decode.loss_dice: 0.8106, decode.d0.loss_cls: 1.4619, decode.d0.loss_mask: 0.5682, decode.d0.loss_dice: 0.9039, decode.d1.loss_cls: 0.4051, decode.d1.loss_mask: 0.5529, decode.d1.loss_dice: 0.8556, decode.d2.loss_cls: 0.3431, decode.d2.loss_mask: 0.5407, decode.d2.loss_dice: 0.8351, decode.d3.loss_cls: 0.3251, decode.d3.loss_mask: 0.5350, decode.d3.loss_dice: 0.8273, decode.d4.loss_cls: 0.3237, decode.d4.loss_mask: 0.5297, decode.d4.loss_dice: 0.8174, decode.d5.loss_cls: 0.3175, decode.d5.loss_mask: 0.5297, decode.d5.loss_dice: 0.8124, decode.d6.loss_cls: 0.3118, decode.d6.loss_mask: 0.5308, decode.d6.loss_dice: 0.8098, decode.d7.loss_cls: 0.3039, decode.d7.loss_mask: 0.5310, decode.d7.loss_dice: 0.8158, decode.d8.loss_cls: 0.2986, decode.d8.loss_mask: 0.5304, decode.d8.loss_dice: 0.8154, loss: 18.0769, grad_norm: 70.6505 2023-11-22 08:29:00,576 - mmseg - INFO - Iter [68850/160000] lr: 5.426e-06, eta: 14:51:42, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3115, decode.loss_mask: 0.5112, decode.loss_dice: 0.8003, decode.d0.loss_cls: 1.4654, decode.d0.loss_mask: 0.5366, decode.d0.loss_dice: 0.8936, decode.d1.loss_cls: 0.4123, decode.d1.loss_mask: 0.5276, decode.d1.loss_dice: 0.8427, decode.d2.loss_cls: 0.3514, decode.d2.loss_mask: 0.5185, decode.d2.loss_dice: 0.8171, decode.d3.loss_cls: 0.3364, decode.d3.loss_mask: 0.5139, decode.d3.loss_dice: 0.8013, decode.d4.loss_cls: 0.3274, decode.d4.loss_mask: 0.5143, decode.d4.loss_dice: 0.7986, decode.d5.loss_cls: 0.3218, decode.d5.loss_mask: 0.5129, decode.d5.loss_dice: 0.7989, decode.d6.loss_cls: 0.3136, decode.d6.loss_mask: 0.5156, decode.d6.loss_dice: 0.7980, decode.d7.loss_cls: 0.3144, decode.d7.loss_mask: 0.5118, decode.d7.loss_dice: 0.7963, decode.d8.loss_cls: 0.3137, decode.d8.loss_mask: 0.5121, decode.d8.loss_dice: 0.8004, loss: 17.7894, grad_norm: 68.8641 2023-11-22 08:29:28,980 - mmseg - INFO - Iter [68900/160000] lr: 5.423e-06, eta: 14:51:11, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3282, decode.loss_mask: 0.5324, decode.loss_dice: 0.7905, decode.d0.loss_cls: 1.4561, decode.d0.loss_mask: 0.5590, decode.d0.loss_dice: 0.8883, decode.d1.loss_cls: 0.4258, decode.d1.loss_mask: 0.5509, decode.d1.loss_dice: 0.8333, decode.d2.loss_cls: 0.3661, decode.d2.loss_mask: 0.5391, decode.d2.loss_dice: 0.8132, decode.d3.loss_cls: 0.3509, decode.d3.loss_mask: 0.5321, decode.d3.loss_dice: 0.7952, decode.d4.loss_cls: 0.3346, decode.d4.loss_mask: 0.5326, decode.d4.loss_dice: 0.7961, decode.d5.loss_cls: 0.3370, decode.d5.loss_mask: 0.5337, decode.d5.loss_dice: 0.7893, decode.d6.loss_cls: 0.3248, decode.d6.loss_mask: 0.5329, decode.d6.loss_dice: 0.7874, decode.d7.loss_cls: 0.3277, decode.d7.loss_mask: 0.5322, decode.d7.loss_dice: 0.7886, decode.d8.loss_cls: 0.3268, decode.d8.loss_mask: 0.5334, decode.d8.loss_dice: 0.7924, loss: 18.0308, grad_norm: 71.7712 2023-11-22 08:29:57,384 - mmseg - INFO - Iter [68950/160000] lr: 5.420e-06, eta: 14:50:41, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3079, decode.loss_mask: 0.5217, decode.loss_dice: 0.7749, decode.d0.loss_cls: 1.4379, decode.d0.loss_mask: 0.5538, decode.d0.loss_dice: 0.8725, decode.d1.loss_cls: 0.3993, decode.d1.loss_mask: 0.5424, decode.d1.loss_dice: 0.8223, decode.d2.loss_cls: 0.3473, decode.d2.loss_mask: 0.5286, decode.d2.loss_dice: 0.7953, decode.d3.loss_cls: 0.3218, decode.d3.loss_mask: 0.5276, decode.d3.loss_dice: 0.7847, decode.d4.loss_cls: 0.3179, decode.d4.loss_mask: 0.5257, decode.d4.loss_dice: 0.7814, decode.d5.loss_cls: 0.3141, decode.d5.loss_mask: 0.5223, decode.d5.loss_dice: 0.7792, decode.d6.loss_cls: 0.3078, decode.d6.loss_mask: 0.5221, decode.d6.loss_dice: 0.7719, decode.d7.loss_cls: 0.3086, decode.d7.loss_mask: 0.5212, decode.d7.loss_dice: 0.7738, decode.d8.loss_cls: 0.3079, decode.d8.loss_mask: 0.5197, decode.d8.loss_dice: 0.7749, loss: 17.5864, grad_norm: 74.6114 2023-11-22 08:30:25,792 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 08:30:25,792 - mmseg - INFO - Iter [69000/160000] lr: 5.417e-06, eta: 14:50:10, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3153, decode.loss_mask: 0.5292, decode.loss_dice: 0.7850, decode.d0.loss_cls: 1.4469, decode.d0.loss_mask: 0.5777, decode.d0.loss_dice: 0.8913, decode.d1.loss_cls: 0.4151, decode.d1.loss_mask: 0.5534, decode.d1.loss_dice: 0.8438, decode.d2.loss_cls: 0.3481, decode.d2.loss_mask: 0.5462, decode.d2.loss_dice: 0.8149, decode.d3.loss_cls: 0.3338, decode.d3.loss_mask: 0.5365, decode.d3.loss_dice: 0.7932, decode.d4.loss_cls: 0.3232, decode.d4.loss_mask: 0.5345, decode.d4.loss_dice: 0.7913, decode.d5.loss_cls: 0.3249, decode.d5.loss_mask: 0.5340, decode.d5.loss_dice: 0.7846, decode.d6.loss_cls: 0.3208, decode.d6.loss_mask: 0.5320, decode.d6.loss_dice: 0.7816, decode.d7.loss_cls: 0.3147, decode.d7.loss_mask: 0.5331, decode.d7.loss_dice: 0.7874, decode.d8.loss_cls: 0.3216, decode.d8.loss_mask: 0.5306, decode.d8.loss_dice: 0.7822, loss: 17.9268, grad_norm: 76.3458 2023-11-22 08:30:54,155 - mmseg - INFO - Iter [69050/160000] lr: 5.414e-06, eta: 14:49:39, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2901, decode.loss_mask: 0.5427, decode.loss_dice: 0.7675, decode.d0.loss_cls: 1.3837, decode.d0.loss_mask: 0.5756, decode.d0.loss_dice: 0.8574, decode.d1.loss_cls: 0.3764, decode.d1.loss_mask: 0.5651, decode.d1.loss_dice: 0.8114, decode.d2.loss_cls: 0.3225, decode.d2.loss_mask: 0.5534, decode.d2.loss_dice: 0.7890, decode.d3.loss_cls: 0.3050, decode.d3.loss_mask: 0.5453, decode.d3.loss_dice: 0.7723, decode.d4.loss_cls: 0.2952, decode.d4.loss_mask: 0.5473, decode.d4.loss_dice: 0.7732, decode.d5.loss_cls: 0.2927, decode.d5.loss_mask: 0.5472, decode.d5.loss_dice: 0.7739, decode.d6.loss_cls: 0.2956, decode.d6.loss_mask: 0.5441, decode.d6.loss_dice: 0.7657, decode.d7.loss_cls: 0.2928, decode.d7.loss_mask: 0.5445, decode.d7.loss_dice: 0.7655, decode.d8.loss_cls: 0.2916, decode.d8.loss_mask: 0.5435, decode.d8.loss_dice: 0.7664, loss: 17.4969, grad_norm: 74.4985 2023-11-22 08:31:22,784 - mmseg - INFO - Iter [69100/160000] lr: 5.411e-06, eta: 14:49:09, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3125, decode.loss_mask: 0.5383, decode.loss_dice: 0.7975, decode.d0.loss_cls: 1.4193, decode.d0.loss_mask: 0.5813, decode.d0.loss_dice: 0.8948, decode.d1.loss_cls: 0.3931, decode.d1.loss_mask: 0.5682, decode.d1.loss_dice: 0.8502, decode.d2.loss_cls: 0.3399, decode.d2.loss_mask: 0.5513, decode.d2.loss_dice: 0.8243, decode.d3.loss_cls: 0.3261, decode.d3.loss_mask: 0.5440, decode.d3.loss_dice: 0.8131, decode.d4.loss_cls: 0.3165, decode.d4.loss_mask: 0.5444, decode.d4.loss_dice: 0.8109, decode.d5.loss_cls: 0.3115, decode.d5.loss_mask: 0.5453, decode.d5.loss_dice: 0.8037, decode.d6.loss_cls: 0.3117, decode.d6.loss_mask: 0.5403, decode.d6.loss_dice: 0.7993, decode.d7.loss_cls: 0.3135, decode.d7.loss_mask: 0.5413, decode.d7.loss_dice: 0.7980, decode.d8.loss_cls: 0.3102, decode.d8.loss_mask: 0.5397, decode.d8.loss_dice: 0.8000, loss: 18.0399, grad_norm: 73.6552 2023-11-22 08:31:51,250 - mmseg - INFO - Iter [69150/160000] lr: 5.408e-06, eta: 14:48:39, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3111, decode.loss_mask: 0.5519, decode.loss_dice: 0.8036, decode.d0.loss_cls: 1.4074, decode.d0.loss_mask: 0.5929, decode.d0.loss_dice: 0.9008, decode.d1.loss_cls: 0.4103, decode.d1.loss_mask: 0.5754, decode.d1.loss_dice: 0.8541, decode.d2.loss_cls: 0.3532, decode.d2.loss_mask: 0.5631, decode.d2.loss_dice: 0.8277, decode.d3.loss_cls: 0.3343, decode.d3.loss_mask: 0.5559, decode.d3.loss_dice: 0.8072, decode.d4.loss_cls: 0.3239, decode.d4.loss_mask: 0.5565, decode.d4.loss_dice: 0.8058, decode.d5.loss_cls: 0.3200, decode.d5.loss_mask: 0.5560, decode.d5.loss_dice: 0.8053, decode.d6.loss_cls: 0.3162, decode.d6.loss_mask: 0.5556, decode.d6.loss_dice: 0.8008, decode.d7.loss_cls: 0.3135, decode.d7.loss_mask: 0.5537, decode.d7.loss_dice: 0.8057, decode.d8.loss_cls: 0.3115, decode.d8.loss_mask: 0.5524, decode.d8.loss_dice: 0.8014, loss: 18.2272, grad_norm: 74.9072 2023-11-22 08:32:19,666 - mmseg - INFO - Iter [69200/160000] lr: 5.405e-06, eta: 14:48:08, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2996, decode.loss_mask: 0.5174, decode.loss_dice: 0.7698, decode.d0.loss_cls: 1.4533, decode.d0.loss_mask: 0.5547, decode.d0.loss_dice: 0.8765, decode.d1.loss_cls: 0.4026, decode.d1.loss_mask: 0.5340, decode.d1.loss_dice: 0.8247, decode.d2.loss_cls: 0.3411, decode.d2.loss_mask: 0.5266, decode.d2.loss_dice: 0.7959, decode.d3.loss_cls: 0.3218, decode.d3.loss_mask: 0.5222, decode.d3.loss_dice: 0.7739, decode.d4.loss_cls: 0.3164, decode.d4.loss_mask: 0.5199, decode.d4.loss_dice: 0.7790, decode.d5.loss_cls: 0.3083, decode.d5.loss_mask: 0.5173, decode.d5.loss_dice: 0.7759, decode.d6.loss_cls: 0.3077, decode.d6.loss_mask: 0.5177, decode.d6.loss_dice: 0.7654, decode.d7.loss_cls: 0.2990, decode.d7.loss_mask: 0.5172, decode.d7.loss_dice: 0.7703, decode.d8.loss_cls: 0.2975, decode.d8.loss_mask: 0.5181, decode.d8.loss_dice: 0.7718, loss: 17.4958, grad_norm: 75.5837 2023-11-22 08:32:48,104 - mmseg - INFO - Iter [69250/160000] lr: 5.402e-06, eta: 14:47:38, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3039, decode.loss_mask: 0.5285, decode.loss_dice: 0.7922, decode.d0.loss_cls: 1.4655, decode.d0.loss_mask: 0.5690, decode.d0.loss_dice: 0.9027, decode.d1.loss_cls: 0.3990, decode.d1.loss_mask: 0.5527, decode.d1.loss_dice: 0.8365, decode.d2.loss_cls: 0.3364, decode.d2.loss_mask: 0.5390, decode.d2.loss_dice: 0.8223, decode.d3.loss_cls: 0.3278, decode.d3.loss_mask: 0.5301, decode.d3.loss_dice: 0.8004, decode.d4.loss_cls: 0.3162, decode.d4.loss_mask: 0.5307, decode.d4.loss_dice: 0.8010, decode.d5.loss_cls: 0.3129, decode.d5.loss_mask: 0.5290, decode.d5.loss_dice: 0.7978, decode.d6.loss_cls: 0.3047, decode.d6.loss_mask: 0.5319, decode.d6.loss_dice: 0.7972, decode.d7.loss_cls: 0.3011, decode.d7.loss_mask: 0.5307, decode.d7.loss_dice: 0.7996, decode.d8.loss_cls: 0.3006, decode.d8.loss_mask: 0.5298, decode.d8.loss_dice: 0.7972, loss: 17.8865, grad_norm: 72.2986 2023-11-22 08:33:16,607 - mmseg - INFO - Iter [69300/160000] lr: 5.399e-06, eta: 14:47:07, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3058, decode.loss_mask: 0.5352, decode.loss_dice: 0.7939, decode.d0.loss_cls: 1.4187, decode.d0.loss_mask: 0.5706, decode.d0.loss_dice: 0.8918, decode.d1.loss_cls: 0.4049, decode.d1.loss_mask: 0.5557, decode.d1.loss_dice: 0.8398, decode.d2.loss_cls: 0.3451, decode.d2.loss_mask: 0.5443, decode.d2.loss_dice: 0.8204, decode.d3.loss_cls: 0.3303, decode.d3.loss_mask: 0.5413, decode.d3.loss_dice: 0.8026, decode.d4.loss_cls: 0.3179, decode.d4.loss_mask: 0.5386, decode.d4.loss_dice: 0.7999, decode.d5.loss_cls: 0.3187, decode.d5.loss_mask: 0.5395, decode.d5.loss_dice: 0.7964, decode.d6.loss_cls: 0.3123, decode.d6.loss_mask: 0.5335, decode.d6.loss_dice: 0.7927, decode.d7.loss_cls: 0.3118, decode.d7.loss_mask: 0.5345, decode.d7.loss_dice: 0.7946, decode.d8.loss_cls: 0.3091, decode.d8.loss_mask: 0.5362, decode.d8.loss_dice: 0.7983, loss: 17.9343, grad_norm: 74.1138 2023-11-22 08:33:45,222 - mmseg - INFO - Iter [69350/160000] lr: 5.396e-06, eta: 14:46:37, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3360, decode.loss_mask: 0.5344, decode.loss_dice: 0.8127, decode.d0.loss_cls: 1.4980, decode.d0.loss_mask: 0.5664, decode.d0.loss_dice: 0.9250, decode.d1.loss_cls: 0.4501, decode.d1.loss_mask: 0.5552, decode.d1.loss_dice: 0.8691, decode.d2.loss_cls: 0.3705, decode.d2.loss_mask: 0.5456, decode.d2.loss_dice: 0.8390, decode.d3.loss_cls: 0.3537, decode.d3.loss_mask: 0.5379, decode.d3.loss_dice: 0.8264, decode.d4.loss_cls: 0.3387, decode.d4.loss_mask: 0.5386, decode.d4.loss_dice: 0.8250, decode.d5.loss_cls: 0.3393, decode.d5.loss_mask: 0.5397, decode.d5.loss_dice: 0.8241, decode.d6.loss_cls: 0.3418, decode.d6.loss_mask: 0.5381, decode.d6.loss_dice: 0.8158, decode.d7.loss_cls: 0.3381, decode.d7.loss_mask: 0.5381, decode.d7.loss_dice: 0.8138, decode.d8.loss_cls: 0.3357, decode.d8.loss_mask: 0.5376, decode.d8.loss_dice: 0.8151, loss: 18.4996, grad_norm: 70.9923 2023-11-22 08:34:13,816 - mmseg - INFO - Iter [69400/160000] lr: 5.394e-06, eta: 14:46:07, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3176, decode.loss_mask: 0.5556, decode.loss_dice: 0.8105, decode.d0.loss_cls: 1.4089, decode.d0.loss_mask: 0.5954, decode.d0.loss_dice: 0.9175, decode.d1.loss_cls: 0.4064, decode.d1.loss_mask: 0.5790, decode.d1.loss_dice: 0.8560, decode.d2.loss_cls: 0.3559, decode.d2.loss_mask: 0.5692, decode.d2.loss_dice: 0.8362, decode.d3.loss_cls: 0.3339, decode.d3.loss_mask: 0.5616, decode.d3.loss_dice: 0.8217, decode.d4.loss_cls: 0.3279, decode.d4.loss_mask: 0.5582, decode.d4.loss_dice: 0.8179, decode.d5.loss_cls: 0.3244, decode.d5.loss_mask: 0.5570, decode.d5.loss_dice: 0.8193, decode.d6.loss_cls: 0.3158, decode.d6.loss_mask: 0.5584, decode.d6.loss_dice: 0.8124, decode.d7.loss_cls: 0.3187, decode.d7.loss_mask: 0.5555, decode.d7.loss_dice: 0.8117, decode.d8.loss_cls: 0.3142, decode.d8.loss_mask: 0.5553, decode.d8.loss_dice: 0.8130, loss: 18.3854, grad_norm: 72.3278 2023-11-22 08:34:42,083 - mmseg - INFO - Iter [69450/160000] lr: 5.391e-06, eta: 14:45:36, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3163, decode.loss_mask: 0.5192, decode.loss_dice: 0.7877, decode.d0.loss_cls: 1.4610, decode.d0.loss_mask: 0.5538, decode.d0.loss_dice: 0.8962, decode.d1.loss_cls: 0.4121, decode.d1.loss_mask: 0.5396, decode.d1.loss_dice: 0.8356, decode.d2.loss_cls: 0.3555, decode.d2.loss_mask: 0.5244, decode.d2.loss_dice: 0.8112, decode.d3.loss_cls: 0.3371, decode.d3.loss_mask: 0.5241, decode.d3.loss_dice: 0.7979, decode.d4.loss_cls: 0.3227, decode.d4.loss_mask: 0.5244, decode.d4.loss_dice: 0.7993, decode.d5.loss_cls: 0.3217, decode.d5.loss_mask: 0.5222, decode.d5.loss_dice: 0.7928, decode.d6.loss_cls: 0.3188, decode.d6.loss_mask: 0.5203, decode.d6.loss_dice: 0.7937, decode.d7.loss_cls: 0.3128, decode.d7.loss_mask: 0.5193, decode.d7.loss_dice: 0.7876, decode.d8.loss_cls: 0.3168, decode.d8.loss_mask: 0.5194, decode.d8.loss_dice: 0.7894, loss: 17.8328, grad_norm: 72.5533 2023-11-22 08:35:12,857 - mmseg - INFO - Iter [69500/160000] lr: 5.388e-06, eta: 14:45:08, time: 0.616, data_time: 0.059, memory: 38143, decode.loss_cls: 0.3024, decode.loss_mask: 0.5241, decode.loss_dice: 0.7841, decode.d0.loss_cls: 1.4613, decode.d0.loss_mask: 0.5670, decode.d0.loss_dice: 0.8913, decode.d1.loss_cls: 0.3937, decode.d1.loss_mask: 0.5490, decode.d1.loss_dice: 0.8320, decode.d2.loss_cls: 0.3354, decode.d2.loss_mask: 0.5376, decode.d2.loss_dice: 0.8097, decode.d3.loss_cls: 0.3188, decode.d3.loss_mask: 0.5280, decode.d3.loss_dice: 0.7899, decode.d4.loss_cls: 0.3183, decode.d4.loss_mask: 0.5262, decode.d4.loss_dice: 0.7976, decode.d5.loss_cls: 0.3119, decode.d5.loss_mask: 0.5237, decode.d5.loss_dice: 0.7911, decode.d6.loss_cls: 0.3058, decode.d6.loss_mask: 0.5233, decode.d6.loss_dice: 0.7877, decode.d7.loss_cls: 0.3024, decode.d7.loss_mask: 0.5240, decode.d7.loss_dice: 0.7880, decode.d8.loss_cls: 0.3090, decode.d8.loss_mask: 0.5236, decode.d8.loss_dice: 0.7843, loss: 17.7411, grad_norm: 69.5561 2023-11-22 08:35:41,410 - mmseg - INFO - Iter [69550/160000] lr: 5.385e-06, eta: 14:44:38, time: 0.571, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2978, decode.loss_mask: 0.5429, decode.loss_dice: 0.7956, decode.d0.loss_cls: 1.4527, decode.d0.loss_mask: 0.5851, decode.d0.loss_dice: 0.8875, decode.d1.loss_cls: 0.3831, decode.d1.loss_mask: 0.5723, decode.d1.loss_dice: 0.8416, decode.d2.loss_cls: 0.3323, decode.d2.loss_mask: 0.5576, decode.d2.loss_dice: 0.8158, decode.d3.loss_cls: 0.3153, decode.d3.loss_mask: 0.5489, decode.d3.loss_dice: 0.8064, decode.d4.loss_cls: 0.3089, decode.d4.loss_mask: 0.5436, decode.d4.loss_dice: 0.7972, decode.d5.loss_cls: 0.3080, decode.d5.loss_mask: 0.5479, decode.d5.loss_dice: 0.7991, decode.d6.loss_cls: 0.3031, decode.d6.loss_mask: 0.5451, decode.d6.loss_dice: 0.7930, decode.d7.loss_cls: 0.3016, decode.d7.loss_mask: 0.5420, decode.d7.loss_dice: 0.7927, decode.d8.loss_cls: 0.2963, decode.d8.loss_mask: 0.5437, decode.d8.loss_dice: 0.7943, loss: 17.9515, grad_norm: 72.4340 2023-11-22 08:36:09,812 - mmseg - INFO - Iter [69600/160000] lr: 5.382e-06, eta: 14:44:07, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2999, decode.loss_mask: 0.5372, decode.loss_dice: 0.8038, decode.d0.loss_cls: 1.3978, decode.d0.loss_mask: 0.5719, decode.d0.loss_dice: 0.9104, decode.d1.loss_cls: 0.3838, decode.d1.loss_mask: 0.5585, decode.d1.loss_dice: 0.8585, decode.d2.loss_cls: 0.3348, decode.d2.loss_mask: 0.5481, decode.d2.loss_dice: 0.8295, decode.d3.loss_cls: 0.3154, decode.d3.loss_mask: 0.5407, decode.d3.loss_dice: 0.8121, decode.d4.loss_cls: 0.3042, decode.d4.loss_mask: 0.5429, decode.d4.loss_dice: 0.8130, decode.d5.loss_cls: 0.3038, decode.d5.loss_mask: 0.5403, decode.d5.loss_dice: 0.8078, decode.d6.loss_cls: 0.3038, decode.d6.loss_mask: 0.5387, decode.d6.loss_dice: 0.8046, decode.d7.loss_cls: 0.2967, decode.d7.loss_mask: 0.5388, decode.d7.loss_dice: 0.8063, decode.d8.loss_cls: 0.2967, decode.d8.loss_mask: 0.5397, decode.d8.loss_dice: 0.8073, loss: 17.9469, grad_norm: 75.7556 2023-11-22 08:36:38,396 - mmseg - INFO - Iter [69650/160000] lr: 5.379e-06, eta: 14:43:37, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2960, decode.loss_mask: 0.5297, decode.loss_dice: 0.7685, decode.d0.loss_cls: 1.4184, decode.d0.loss_mask: 0.5646, decode.d0.loss_dice: 0.8787, decode.d1.loss_cls: 0.3806, decode.d1.loss_mask: 0.5520, decode.d1.loss_dice: 0.8201, decode.d2.loss_cls: 0.3365, decode.d2.loss_mask: 0.5413, decode.d2.loss_dice: 0.7912, decode.d3.loss_cls: 0.3166, decode.d3.loss_mask: 0.5313, decode.d3.loss_dice: 0.7752, decode.d4.loss_cls: 0.3086, decode.d4.loss_mask: 0.5302, decode.d4.loss_dice: 0.7776, decode.d5.loss_cls: 0.3023, decode.d5.loss_mask: 0.5312, decode.d5.loss_dice: 0.7751, decode.d6.loss_cls: 0.2986, decode.d6.loss_mask: 0.5298, decode.d6.loss_dice: 0.7681, decode.d7.loss_cls: 0.2936, decode.d7.loss_mask: 0.5302, decode.d7.loss_dice: 0.7721, decode.d8.loss_cls: 0.2952, decode.d8.loss_mask: 0.5288, decode.d8.loss_dice: 0.7736, loss: 17.5159, grad_norm: 71.6255 2023-11-22 08:37:07,014 - mmseg - INFO - Iter [69700/160000] lr: 5.376e-06, eta: 14:43:07, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2970, decode.loss_mask: 0.5396, decode.loss_dice: 0.7815, decode.d0.loss_cls: 1.4147, decode.d0.loss_mask: 0.5694, decode.d0.loss_dice: 0.8786, decode.d1.loss_cls: 0.3763, decode.d1.loss_mask: 0.5576, decode.d1.loss_dice: 0.8229, decode.d2.loss_cls: 0.3273, decode.d2.loss_mask: 0.5469, decode.d2.loss_dice: 0.8029, decode.d3.loss_cls: 0.3082, decode.d3.loss_mask: 0.5403, decode.d3.loss_dice: 0.7817, decode.d4.loss_cls: 0.3057, decode.d4.loss_mask: 0.5431, decode.d4.loss_dice: 0.7828, decode.d5.loss_cls: 0.3009, decode.d5.loss_mask: 0.5409, decode.d5.loss_dice: 0.7820, decode.d6.loss_cls: 0.3021, decode.d6.loss_mask: 0.5395, decode.d6.loss_dice: 0.7783, decode.d7.loss_cls: 0.2991, decode.d7.loss_mask: 0.5430, decode.d7.loss_dice: 0.7818, decode.d8.loss_cls: 0.2956, decode.d8.loss_mask: 0.5398, decode.d8.loss_dice: 0.7802, loss: 17.6591, grad_norm: 72.4063 2023-11-22 08:37:35,365 - mmseg - INFO - Iter [69750/160000] lr: 5.373e-06, eta: 14:42:36, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2915, decode.loss_mask: 0.5224, decode.loss_dice: 0.7539, decode.d0.loss_cls: 1.4063, decode.d0.loss_mask: 0.5602, decode.d0.loss_dice: 0.8492, decode.d1.loss_cls: 0.3872, decode.d1.loss_mask: 0.5472, decode.d1.loss_dice: 0.7950, decode.d2.loss_cls: 0.3292, decode.d2.loss_mask: 0.5303, decode.d2.loss_dice: 0.7760, decode.d3.loss_cls: 0.3119, decode.d3.loss_mask: 0.5272, decode.d3.loss_dice: 0.7606, decode.d4.loss_cls: 0.3026, decode.d4.loss_mask: 0.5243, decode.d4.loss_dice: 0.7578, decode.d5.loss_cls: 0.3000, decode.d5.loss_mask: 0.5219, decode.d5.loss_dice: 0.7595, decode.d6.loss_cls: 0.2966, decode.d6.loss_mask: 0.5217, decode.d6.loss_dice: 0.7548, decode.d7.loss_cls: 0.2895, decode.d7.loss_mask: 0.5238, decode.d7.loss_dice: 0.7536, decode.d8.loss_cls: 0.2873, decode.d8.loss_mask: 0.5232, decode.d8.loss_dice: 0.7569, loss: 17.2219, grad_norm: 76.8313 2023-11-22 08:38:03,697 - mmseg - INFO - Iter [69800/160000] lr: 5.370e-06, eta: 14:42:06, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3105, decode.loss_mask: 0.5260, decode.loss_dice: 0.7933, decode.d0.loss_cls: 1.4467, decode.d0.loss_mask: 0.5641, decode.d0.loss_dice: 0.8938, decode.d1.loss_cls: 0.4025, decode.d1.loss_mask: 0.5492, decode.d1.loss_dice: 0.8393, decode.d2.loss_cls: 0.3453, decode.d2.loss_mask: 0.5386, decode.d2.loss_dice: 0.8175, decode.d3.loss_cls: 0.3271, decode.d3.loss_mask: 0.5306, decode.d3.loss_dice: 0.8006, decode.d4.loss_cls: 0.3197, decode.d4.loss_mask: 0.5315, decode.d4.loss_dice: 0.8030, decode.d5.loss_cls: 0.3144, decode.d5.loss_mask: 0.5292, decode.d5.loss_dice: 0.7984, decode.d6.loss_cls: 0.3172, decode.d6.loss_mask: 0.5288, decode.d6.loss_dice: 0.7946, decode.d7.loss_cls: 0.3092, decode.d7.loss_mask: 0.5282, decode.d7.loss_dice: 0.7964, decode.d8.loss_cls: 0.3104, decode.d8.loss_mask: 0.5255, decode.d8.loss_dice: 0.7965, loss: 17.8880, grad_norm: 70.4184 2023-11-22 08:38:32,137 - mmseg - INFO - Iter [69850/160000] lr: 5.367e-06, eta: 14:41:35, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2969, decode.loss_mask: 0.5371, decode.loss_dice: 0.7992, decode.d0.loss_cls: 1.4318, decode.d0.loss_mask: 0.5706, decode.d0.loss_dice: 0.9035, decode.d1.loss_cls: 0.3929, decode.d1.loss_mask: 0.5567, decode.d1.loss_dice: 0.8535, decode.d2.loss_cls: 0.3415, decode.d2.loss_mask: 0.5446, decode.d2.loss_dice: 0.8232, decode.d3.loss_cls: 0.3192, decode.d3.loss_mask: 0.5389, decode.d3.loss_dice: 0.8087, decode.d4.loss_cls: 0.3108, decode.d4.loss_mask: 0.5393, decode.d4.loss_dice: 0.8059, decode.d5.loss_cls: 0.3050, decode.d5.loss_mask: 0.5380, decode.d5.loss_dice: 0.8070, decode.d6.loss_cls: 0.3023, decode.d6.loss_mask: 0.5385, decode.d6.loss_dice: 0.7992, decode.d7.loss_cls: 0.3000, decode.d7.loss_mask: 0.5364, decode.d7.loss_dice: 0.7967, decode.d8.loss_cls: 0.2992, decode.d8.loss_mask: 0.5382, decode.d8.loss_dice: 0.7990, loss: 17.9338, grad_norm: 69.4638 2023-11-22 08:39:00,742 - mmseg - INFO - Iter [69900/160000] lr: 5.364e-06, eta: 14:41:05, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3289, decode.loss_mask: 0.5108, decode.loss_dice: 0.7810, decode.d0.loss_cls: 1.4897, decode.d0.loss_mask: 0.5508, decode.d0.loss_dice: 0.8913, decode.d1.loss_cls: 0.4185, decode.d1.loss_mask: 0.5334, decode.d1.loss_dice: 0.8253, decode.d2.loss_cls: 0.3672, decode.d2.loss_mask: 0.5208, decode.d2.loss_dice: 0.8056, decode.d3.loss_cls: 0.3448, decode.d3.loss_mask: 0.5147, decode.d3.loss_dice: 0.7894, decode.d4.loss_cls: 0.3407, decode.d4.loss_mask: 0.5119, decode.d4.loss_dice: 0.7873, decode.d5.loss_cls: 0.3299, decode.d5.loss_mask: 0.5140, decode.d5.loss_dice: 0.7842, decode.d6.loss_cls: 0.3309, decode.d6.loss_mask: 0.5122, decode.d6.loss_dice: 0.7771, decode.d7.loss_cls: 0.3272, decode.d7.loss_mask: 0.5130, decode.d7.loss_dice: 0.7849, decode.d8.loss_cls: 0.3254, decode.d8.loss_mask: 0.5120, decode.d8.loss_dice: 0.7846, loss: 17.8073, grad_norm: 69.0381 2023-11-22 08:39:29,316 - mmseg - INFO - Iter [69950/160000] lr: 5.361e-06, eta: 14:40:34, time: 0.571, data_time: 0.015, memory: 38143, decode.loss_cls: 0.2962, decode.loss_mask: 0.5331, decode.loss_dice: 0.7754, decode.d0.loss_cls: 1.3964, decode.d0.loss_mask: 0.5662, decode.d0.loss_dice: 0.8756, decode.d1.loss_cls: 0.3928, decode.d1.loss_mask: 0.5529, decode.d1.loss_dice: 0.8265, decode.d2.loss_cls: 0.3350, decode.d2.loss_mask: 0.5422, decode.d2.loss_dice: 0.7990, decode.d3.loss_cls: 0.3143, decode.d3.loss_mask: 0.5385, decode.d3.loss_dice: 0.7859, decode.d4.loss_cls: 0.3045, decode.d4.loss_mask: 0.5342, decode.d4.loss_dice: 0.7877, decode.d5.loss_cls: 0.3095, decode.d5.loss_mask: 0.5330, decode.d5.loss_dice: 0.7810, decode.d6.loss_cls: 0.2950, decode.d6.loss_mask: 0.5349, decode.d6.loss_dice: 0.7805, decode.d7.loss_cls: 0.2936, decode.d7.loss_mask: 0.5360, decode.d7.loss_dice: 0.7767, decode.d8.loss_cls: 0.2988, decode.d8.loss_mask: 0.5332, decode.d8.loss_dice: 0.7794, loss: 17.6079, grad_norm: 77.7963 2023-11-22 08:39:57,878 - mmseg - INFO - Saving checkpoint at 70000 iterations 2023-11-22 08:40:05,989 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 08:40:05,989 - mmseg - INFO - Iter [70000/160000] lr: 5.358e-06, eta: 14:40:15, time: 0.734, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3118, decode.loss_mask: 0.5503, decode.loss_dice: 0.7844, decode.d0.loss_cls: 1.4379, decode.d0.loss_mask: 0.5845, decode.d0.loss_dice: 0.8905, decode.d1.loss_cls: 0.3943, decode.d1.loss_mask: 0.5691, decode.d1.loss_dice: 0.8351, decode.d2.loss_cls: 0.3467, decode.d2.loss_mask: 0.5585, decode.d2.loss_dice: 0.8071, decode.d3.loss_cls: 0.3246, decode.d3.loss_mask: 0.5550, decode.d3.loss_dice: 0.7905, decode.d4.loss_cls: 0.3191, decode.d4.loss_mask: 0.5551, decode.d4.loss_dice: 0.7921, decode.d5.loss_cls: 0.3135, decode.d5.loss_mask: 0.5553, decode.d5.loss_dice: 0.7937, decode.d6.loss_cls: 0.3100, decode.d6.loss_mask: 0.5513, decode.d6.loss_dice: 0.7857, decode.d7.loss_cls: 0.3085, decode.d7.loss_mask: 0.5511, decode.d7.loss_dice: 0.7886, decode.d8.loss_cls: 0.3071, decode.d8.loss_mask: 0.5530, decode.d8.loss_dice: 0.7888, loss: 18.0130, grad_norm: 76.6551 2023-11-22 08:40:25,945 - mmseg - INFO - per class results: 2023-11-22 08:40:25,951 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.36 | 86.96 | | building | 84.04 | 90.69 | | sky | 95.02 | 97.44 | | floor | 84.35 | 91.18 | | tree | 75.8 | 89.36 | | ceiling | 85.42 | 93.35 | | road | 87.34 | 92.1 | | bed | 91.12 | 95.99 | | windowpane | 63.45 | 82.73 | | grass | 74.34 | 89.34 | | cabinet | 62.66 | 71.97 | | sidewalk | 68.02 | 80.46 | | person | 86.26 | 93.4 | | earth | 41.55 | 57.29 | | door | 54.81 | 76.92 | | table | 69.0 | 85.54 | | mountain | 58.44 | 71.05 | | plant | 52.94 | 68.18 | | curtain | 77.08 | 88.57 | | chair | 67.31 | 78.73 | | car | 87.35 | 93.81 | | water | 51.73 | 69.59 | | painting | 73.35 | 90.84 | | sofa | 73.14 | 92.41 | | shelf | 48.39 | 64.95 | | house | 42.83 | 70.53 | | sea | 57.05 | 83.87 | | mirror | 71.19 | 83.64 | | rug | 69.83 | 83.89 | | field | 38.07 | 48.89 | | armchair | 45.54 | 57.41 | | seat | 63.02 | 84.7 | | fence | 49.11 | 66.86 | | desk | 54.69 | 72.74 | | rock | 46.33 | 63.48 | | wardrobe | 50.67 | 71.1 | | lamp | 73.39 | 83.64 | | bathtub | 77.72 | 84.35 | | railing | 41.43 | 63.08 | | cushion | 66.93 | 83.49 | | base | 45.6 | 64.3 | | box | 32.65 | 48.01 | | column | 53.72 | 73.09 | | signboard | 42.9 | 63.6 | | chest of drawers | 41.63 | 66.28 | | counter | 47.89 | 57.71 | | sand | 47.87 | 76.67 | | sink | 84.75 | 89.79 | | skyscraper | 61.71 | 76.67 | | fireplace | 77.98 | 90.46 | | refrigerator | 82.75 | 91.11 | | grandstand | 50.16 | 73.9 | | path | 20.51 | 31.05 | | stairs | 48.58 | 60.69 | | runway | 73.81 | 92.97 | | case | 63.05 | 86.21 | | pool table | 93.99 | 97.68 | | pillow | 62.55 | 75.47 | | screen door | 65.73 | 69.31 | | stairway | 40.35 | 50.03 | | river | 15.32 | 20.37 | | bridge | 80.78 | 89.18 | | bookcase | 31.02 | 55.31 | | blind | 33.33 | 36.97 | | coffee table | 68.91 | 82.88 | | toilet | 90.05 | 93.86 | | flower | 41.1 | 67.51 | | book | 52.84 | 80.11 | | hill | 11.21 | 15.59 | | bench | 66.05 | 77.03 | | countertop | 57.42 | 73.05 | | stove | 81.77 | 87.65 | | palm | 55.39 | 84.59 | | kitchen island | 46.6 | 78.11 | | computer | 74.01 | 82.28 | | swivel chair | 58.49 | 84.64 | | boat | 43.64 | 58.49 | | bar | 56.26 | 60.74 | | arcade machine | 43.35 | 45.5 | | hovel | 38.39 | 48.47 | | bus | 92.28 | 97.61 | | towel | 79.21 | 89.6 | | light | 64.77 | 80.51 | | truck | 43.34 | 56.88 | | tower | 46.45 | 79.34 | | chandelier | 73.11 | 89.5 | | awning | 33.87 | 45.96 | | streetlight | 50.7 | 64.71 | | booth | 61.96 | 66.87 | | television receiver | 79.79 | 88.35 | | airplane | 67.68 | 72.36 | | dirt track | 13.79 | 23.56 | | apparel | 42.93 | 63.31 | | pole | 38.67 | 63.79 | | land | 0.45 | 0.48 | | bannister | 24.0 | 32.49 | | escalator | 25.24 | 26.2 | | ottoman | 52.74 | 76.46 | | bottle | 46.7 | 63.46 | | buffet | 48.55 | 59.35 | | poster | 26.71 | 45.21 | | stage | 17.72 | 38.7 | | van | 49.07 | 78.73 | | ship | 4.33 | 6.68 | | fountain | 21.53 | 21.88 | | conveyer belt | 68.6 | 95.11 | | canopy | 16.43 | 25.22 | | washer | 70.93 | 73.34 | | plaything | 50.71 | 74.78 | | swimming pool | 47.73 | 48.03 | | stool | 58.27 | 75.01 | | barrel | 35.68 | 97.78 | | basket | 38.04 | 61.63 | | waterfall | 71.23 | 86.92 | | tent | 95.19 | 97.98 | | bag | 21.8 | 33.32 | | minibike | 72.46 | 90.43 | | cradle | 73.14 | 78.48 | | oven | 26.4 | 73.59 | | ball | 21.49 | 72.66 | | food | 68.45 | 77.51 | | step | 29.99 | 43.26 | | tank | 51.77 | 64.41 | | trade name | 23.77 | 27.89 | | microwave | 42.79 | 45.43 | | pot | 52.99 | 65.33 | | animal | 68.54 | 70.16 | | bicycle | 61.91 | 83.4 | | lake | 0.0 | 0.0 | | dishwasher | 80.69 | 89.14 | | screen | 49.49 | 92.87 | | blanket | 32.15 | 42.65 | | sculpture | 64.04 | 86.96 | | hood | 71.34 | 77.18 | | sconce | 63.38 | 78.25 | | vase | 54.12 | 76.08 | | traffic light | 46.96 | 73.12 | | tray | 22.75 | 29.79 | | ashcan | 44.64 | 67.03 | | fan | 70.73 | 86.43 | | pier | 14.44 | 14.74 | | crt screen | 7.48 | 20.2 | | plate | 63.19 | 83.95 | | monitor | 0.57 | 0.73 | | bulletin board | 58.65 | 78.19 | | shower | 2.87 | 28.02 | | radiator | 63.9 | 81.01 | | glass | 24.48 | 28.3 | | clock | 53.43 | 67.95 | | flag | 71.02 | 88.97 | +---------------------+-------+-------+ 2023-11-22 08:40:25,951 - mmseg - INFO - Summary: 2023-11-22 08:40:25,951 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.93 | 53.73 | 68.25 | +-------+-------+-------+ 2023-11-22 08:40:25,952 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 08:40:25,952 - mmseg - INFO - Iter(val) [250] aAcc: 0.8493, mIoU: 0.5373, mAcc: 0.6825, IoU.wall: 0.8036, IoU.building: 0.8404, IoU.sky: 0.9502, IoU.floor: 0.8435, IoU.tree: 0.7580, IoU.ceiling: 0.8542, IoU.road: 0.8734, IoU.bed : 0.9112, IoU.windowpane: 0.6345, IoU.grass: 0.7434, IoU.cabinet: 0.6266, IoU.sidewalk: 0.6802, IoU.person: 0.8626, IoU.earth: 0.4155, IoU.door: 0.5481, IoU.table: 0.6900, IoU.mountain: 0.5844, IoU.plant: 0.5294, IoU.curtain: 0.7708, IoU.chair: 0.6731, IoU.car: 0.8735, IoU.water: 0.5173, IoU.painting: 0.7335, IoU.sofa: 0.7314, IoU.shelf: 0.4839, IoU.house: 0.4283, IoU.sea: 0.5705, IoU.mirror: 0.7119, IoU.rug: 0.6983, IoU.field: 0.3807, IoU.armchair: 0.4554, IoU.seat: 0.6302, IoU.fence: 0.4911, IoU.desk: 0.5469, IoU.rock: 0.4633, IoU.wardrobe: 0.5067, IoU.lamp: 0.7339, IoU.bathtub: 0.7772, IoU.railing: 0.4143, IoU.cushion: 0.6693, IoU.base: 0.4560, IoU.box: 0.3265, IoU.column: 0.5372, IoU.signboard: 0.4290, IoU.chest of drawers: 0.4163, IoU.counter: 0.4789, IoU.sand: 0.4787, IoU.sink: 0.8475, IoU.skyscraper: 0.6171, IoU.fireplace: 0.7798, IoU.refrigerator: 0.8275, IoU.grandstand: 0.5016, IoU.path: 0.2051, IoU.stairs: 0.4858, IoU.runway: 0.7381, IoU.case: 0.6305, IoU.pool table: 0.9399, IoU.pillow: 0.6255, IoU.screen door: 0.6573, IoU.stairway: 0.4035, IoU.river: 0.1532, IoU.bridge: 0.8078, IoU.bookcase: 0.3102, IoU.blind: 0.3333, IoU.coffee table: 0.6891, IoU.toilet: 0.9005, IoU.flower: 0.4110, IoU.book: 0.5284, IoU.hill: 0.1121, IoU.bench: 0.6605, IoU.countertop: 0.5742, IoU.stove: 0.8177, IoU.palm: 0.5539, IoU.kitchen island: 0.4660, IoU.computer: 0.7401, IoU.swivel chair: 0.5849, IoU.boat: 0.4364, IoU.bar: 0.5626, IoU.arcade machine: 0.4335, IoU.hovel: 0.3839, IoU.bus: 0.9228, IoU.towel: 0.7921, IoU.light: 0.6477, IoU.truck: 0.4334, IoU.tower: 0.4645, IoU.chandelier: 0.7311, IoU.awning: 0.3387, IoU.streetlight: 0.5070, IoU.booth: 0.6196, IoU.television receiver: 0.7979, IoU.airplane: 0.6768, IoU.dirt track: 0.1379, IoU.apparel: 0.4293, IoU.pole: 0.3867, IoU.land: 0.0045, IoU.bannister: 0.2400, IoU.escalator: 0.2524, IoU.ottoman: 0.5274, IoU.bottle: 0.4670, IoU.buffet: 0.4855, IoU.poster: 0.2671, IoU.stage: 0.1772, IoU.van: 0.4907, IoU.ship: 0.0433, IoU.fountain: 0.2153, IoU.conveyer belt: 0.6860, IoU.canopy: 0.1643, IoU.washer: 0.7093, IoU.plaything: 0.5071, IoU.swimming pool: 0.4773, IoU.stool: 0.5827, IoU.barrel: 0.3568, IoU.basket: 0.3804, IoU.waterfall: 0.7123, IoU.tent: 0.9519, IoU.bag: 0.2180, IoU.minibike: 0.7246, IoU.cradle: 0.7314, IoU.oven: 0.2640, IoU.ball: 0.2149, IoU.food: 0.6845, IoU.step: 0.2999, IoU.tank: 0.5177, IoU.trade name: 0.2377, IoU.microwave: 0.4279, IoU.pot: 0.5299, IoU.animal: 0.6854, IoU.bicycle: 0.6191, IoU.lake: 0.0000, IoU.dishwasher: 0.8069, IoU.screen: 0.4949, IoU.blanket: 0.3215, IoU.sculpture: 0.6404, IoU.hood: 0.7134, IoU.sconce: 0.6338, IoU.vase: 0.5412, IoU.traffic light: 0.4696, IoU.tray: 0.2275, IoU.ashcan: 0.4464, IoU.fan: 0.7073, IoU.pier: 0.1444, IoU.crt screen: 0.0748, IoU.plate: 0.6319, IoU.monitor: 0.0057, IoU.bulletin board: 0.5865, IoU.shower: 0.0287, IoU.radiator: 0.6390, IoU.glass: 0.2448, IoU.clock: 0.5343, IoU.flag: 0.7102, Acc.wall: 0.8696, Acc.building: 0.9069, Acc.sky: 0.9744, Acc.floor: 0.9118, Acc.tree: 0.8936, Acc.ceiling: 0.9335, Acc.road: 0.9210, Acc.bed : 0.9599, Acc.windowpane: 0.8273, Acc.grass: 0.8934, Acc.cabinet: 0.7197, Acc.sidewalk: 0.8046, Acc.person: 0.9340, Acc.earth: 0.5729, Acc.door: 0.7692, Acc.table: 0.8554, Acc.mountain: 0.7105, Acc.plant: 0.6818, Acc.curtain: 0.8857, Acc.chair: 0.7873, Acc.car: 0.9381, Acc.water: 0.6959, Acc.painting: 0.9084, Acc.sofa: 0.9241, Acc.shelf: 0.6495, Acc.house: 0.7053, Acc.sea: 0.8387, Acc.mirror: 0.8364, Acc.rug: 0.8389, Acc.field: 0.4889, Acc.armchair: 0.5741, Acc.seat: 0.8470, Acc.fence: 0.6686, Acc.desk: 0.7274, Acc.rock: 0.6348, Acc.wardrobe: 0.7110, Acc.lamp: 0.8364, Acc.bathtub: 0.8435, Acc.railing: 0.6308, Acc.cushion: 0.8349, Acc.base: 0.6430, Acc.box: 0.4801, Acc.column: 0.7309, Acc.signboard: 0.6360, Acc.chest of drawers: 0.6628, Acc.counter: 0.5771, Acc.sand: 0.7667, Acc.sink: 0.8979, Acc.skyscraper: 0.7667, Acc.fireplace: 0.9046, Acc.refrigerator: 0.9111, Acc.grandstand: 0.7390, Acc.path: 0.3105, Acc.stairs: 0.6069, Acc.runway: 0.9297, Acc.case: 0.8621, Acc.pool table: 0.9768, Acc.pillow: 0.7547, Acc.screen door: 0.6931, Acc.stairway: 0.5003, Acc.river: 0.2037, Acc.bridge: 0.8918, Acc.bookcase: 0.5531, Acc.blind: 0.3697, Acc.coffee table: 0.8288, Acc.toilet: 0.9386, Acc.flower: 0.6751, Acc.book: 0.8011, Acc.hill: 0.1559, Acc.bench: 0.7703, Acc.countertop: 0.7305, Acc.stove: 0.8765, Acc.palm: 0.8459, Acc.kitchen island: 0.7811, Acc.computer: 0.8228, Acc.swivel chair: 0.8464, Acc.boat: 0.5849, Acc.bar: 0.6074, Acc.arcade machine: 0.4550, Acc.hovel: 0.4847, Acc.bus: 0.9761, Acc.towel: 0.8960, Acc.light: 0.8051, Acc.truck: 0.5688, Acc.tower: 0.7934, Acc.chandelier: 0.8950, Acc.awning: 0.4596, Acc.streetlight: 0.6471, Acc.booth: 0.6687, Acc.television receiver: 0.8835, Acc.airplane: 0.7236, Acc.dirt track: 0.2356, Acc.apparel: 0.6331, Acc.pole: 0.6379, Acc.land: 0.0048, Acc.bannister: 0.3249, Acc.escalator: 0.2620, Acc.ottoman: 0.7646, Acc.bottle: 0.6346, Acc.buffet: 0.5935, Acc.poster: 0.4521, Acc.stage: 0.3870, Acc.van: 0.7873, Acc.ship: 0.0668, Acc.fountain: 0.2188, Acc.conveyer belt: 0.9511, Acc.canopy: 0.2522, Acc.washer: 0.7334, Acc.plaything: 0.7478, Acc.swimming pool: 0.4803, Acc.stool: 0.7501, Acc.barrel: 0.9778, Acc.basket: 0.6163, Acc.waterfall: 0.8692, Acc.tent: 0.9798, Acc.bag: 0.3332, Acc.minibike: 0.9043, Acc.cradle: 0.7848, Acc.oven: 0.7359, Acc.ball: 0.7266, Acc.food: 0.7751, Acc.step: 0.4326, Acc.tank: 0.6441, Acc.trade name: 0.2789, Acc.microwave: 0.4543, Acc.pot: 0.6533, Acc.animal: 0.7016, Acc.bicycle: 0.8340, Acc.lake: 0.0000, Acc.dishwasher: 0.8914, Acc.screen: 0.9287, Acc.blanket: 0.4265, Acc.sculpture: 0.8696, Acc.hood: 0.7718, Acc.sconce: 0.7825, Acc.vase: 0.7608, Acc.traffic light: 0.7312, Acc.tray: 0.2979, Acc.ashcan: 0.6703, Acc.fan: 0.8643, Acc.pier: 0.1474, Acc.crt screen: 0.2020, Acc.plate: 0.8395, Acc.monitor: 0.0073, Acc.bulletin board: 0.7819, Acc.shower: 0.2802, Acc.radiator: 0.8101, Acc.glass: 0.2830, Acc.clock: 0.6795, Acc.flag: 0.8897 2023-11-22 08:40:54,306 - mmseg - INFO - Iter [70050/160000] lr: 5.355e-06, eta: 14:40:10, time: 0.966, data_time: 0.412, memory: 38143, decode.loss_cls: 0.3261, decode.loss_mask: 0.5265, decode.loss_dice: 0.7951, decode.d0.loss_cls: 1.4929, decode.d0.loss_mask: 0.5594, decode.d0.loss_dice: 0.9037, decode.d1.loss_cls: 0.4182, decode.d1.loss_mask: 0.5445, decode.d1.loss_dice: 0.8476, decode.d2.loss_cls: 0.3595, decode.d2.loss_mask: 0.5357, decode.d2.loss_dice: 0.8209, decode.d3.loss_cls: 0.3417, decode.d3.loss_mask: 0.5276, decode.d3.loss_dice: 0.8095, decode.d4.loss_cls: 0.3349, decode.d4.loss_mask: 0.5266, decode.d4.loss_dice: 0.8043, decode.d5.loss_cls: 0.3251, decode.d5.loss_mask: 0.5316, decode.d5.loss_dice: 0.8032, decode.d6.loss_cls: 0.3260, decode.d6.loss_mask: 0.5268, decode.d6.loss_dice: 0.7950, decode.d7.loss_cls: 0.3266, decode.d7.loss_mask: 0.5262, decode.d7.loss_dice: 0.8008, decode.d8.loss_cls: 0.3284, decode.d8.loss_mask: 0.5251, decode.d8.loss_dice: 0.7925, loss: 18.0818, grad_norm: 69.2719 2023-11-22 08:41:22,565 - mmseg - INFO - Iter [70100/160000] lr: 5.352e-06, eta: 14:39:39, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3085, decode.loss_mask: 0.5210, decode.loss_dice: 0.7577, decode.d0.loss_cls: 1.4143, decode.d0.loss_mask: 0.5533, decode.d0.loss_dice: 0.8548, decode.d1.loss_cls: 0.3949, decode.d1.loss_mask: 0.5424, decode.d1.loss_dice: 0.8030, decode.d2.loss_cls: 0.3414, decode.d2.loss_mask: 0.5337, decode.d2.loss_dice: 0.7816, decode.d3.loss_cls: 0.3287, decode.d3.loss_mask: 0.5256, decode.d3.loss_dice: 0.7620, decode.d4.loss_cls: 0.3146, decode.d4.loss_mask: 0.5259, decode.d4.loss_dice: 0.7646, decode.d5.loss_cls: 0.3145, decode.d5.loss_mask: 0.5243, decode.d5.loss_dice: 0.7687, decode.d6.loss_cls: 0.3104, decode.d6.loss_mask: 0.5229, decode.d6.loss_dice: 0.7633, decode.d7.loss_cls: 0.3077, decode.d7.loss_mask: 0.5221, decode.d7.loss_dice: 0.7615, decode.d8.loss_cls: 0.3052, decode.d8.loss_mask: 0.5232, decode.d8.loss_dice: 0.7619, loss: 17.4140, grad_norm: 69.8877 2023-11-22 08:41:50,914 - mmseg - INFO - Iter [70150/160000] lr: 5.349e-06, eta: 14:39:08, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3099, decode.loss_mask: 0.5408, decode.loss_dice: 0.7944, decode.d0.loss_cls: 1.4269, decode.d0.loss_mask: 0.5748, decode.d0.loss_dice: 0.8910, decode.d1.loss_cls: 0.3994, decode.d1.loss_mask: 0.5638, decode.d1.loss_dice: 0.8310, decode.d2.loss_cls: 0.3457, decode.d2.loss_mask: 0.5535, decode.d2.loss_dice: 0.8091, decode.d3.loss_cls: 0.3275, decode.d3.loss_mask: 0.5475, decode.d3.loss_dice: 0.7971, decode.d4.loss_cls: 0.3214, decode.d4.loss_mask: 0.5464, decode.d4.loss_dice: 0.7968, decode.d5.loss_cls: 0.3114, decode.d5.loss_mask: 0.5498, decode.d5.loss_dice: 0.7951, decode.d6.loss_cls: 0.3147, decode.d6.loss_mask: 0.5435, decode.d6.loss_dice: 0.7885, decode.d7.loss_cls: 0.3024, decode.d7.loss_mask: 0.5451, decode.d7.loss_dice: 0.7935, decode.d8.loss_cls: 0.3076, decode.d8.loss_mask: 0.5451, decode.d8.loss_dice: 0.7893, loss: 17.9631, grad_norm: 69.4718 2023-11-22 08:42:19,593 - mmseg - INFO - Iter [70200/160000] lr: 5.346e-06, eta: 14:38:38, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3001, decode.loss_mask: 0.5441, decode.loss_dice: 0.7817, decode.d0.loss_cls: 1.4308, decode.d0.loss_mask: 0.5727, decode.d0.loss_dice: 0.8760, decode.d1.loss_cls: 0.3936, decode.d1.loss_mask: 0.5586, decode.d1.loss_dice: 0.8243, decode.d2.loss_cls: 0.3303, decode.d2.loss_mask: 0.5477, decode.d2.loss_dice: 0.7972, decode.d3.loss_cls: 0.3139, decode.d3.loss_mask: 0.5457, decode.d3.loss_dice: 0.7872, decode.d4.loss_cls: 0.3088, decode.d4.loss_mask: 0.5450, decode.d4.loss_dice: 0.7897, decode.d5.loss_cls: 0.3072, decode.d5.loss_mask: 0.5434, decode.d5.loss_dice: 0.7877, decode.d6.loss_cls: 0.3064, decode.d6.loss_mask: 0.5422, decode.d6.loss_dice: 0.7773, decode.d7.loss_cls: 0.2986, decode.d7.loss_mask: 0.5444, decode.d7.loss_dice: 0.7845, decode.d8.loss_cls: 0.3048, decode.d8.loss_mask: 0.5430, decode.d8.loss_dice: 0.7826, loss: 17.7696, grad_norm: 75.6820 2023-11-22 08:42:48,346 - mmseg - INFO - Iter [70250/160000] lr: 5.343e-06, eta: 14:38:08, time: 0.575, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3369, decode.loss_mask: 0.5276, decode.loss_dice: 0.8175, decode.d0.loss_cls: 1.4649, decode.d0.loss_mask: 0.5648, decode.d0.loss_dice: 0.9212, decode.d1.loss_cls: 0.4308, decode.d1.loss_mask: 0.5476, decode.d1.loss_dice: 0.8609, decode.d2.loss_cls: 0.3803, decode.d2.loss_mask: 0.5339, decode.d2.loss_dice: 0.8424, decode.d3.loss_cls: 0.3552, decode.d3.loss_mask: 0.5313, decode.d3.loss_dice: 0.8208, decode.d4.loss_cls: 0.3509, decode.d4.loss_mask: 0.5293, decode.d4.loss_dice: 0.8187, decode.d5.loss_cls: 0.3383, decode.d5.loss_mask: 0.5303, decode.d5.loss_dice: 0.8241, decode.d6.loss_cls: 0.3386, decode.d6.loss_mask: 0.5288, decode.d6.loss_dice: 0.8194, decode.d7.loss_cls: 0.3320, decode.d7.loss_mask: 0.5301, decode.d7.loss_dice: 0.8187, decode.d8.loss_cls: 0.3373, decode.d8.loss_mask: 0.5275, decode.d8.loss_dice: 0.8202, loss: 18.3799, grad_norm: 72.1047 2023-11-22 08:43:16,697 - mmseg - INFO - Iter [70300/160000] lr: 5.340e-06, eta: 14:37:37, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3103, decode.loss_mask: 0.5085, decode.loss_dice: 0.7695, decode.d0.loss_cls: 1.4619, decode.d0.loss_mask: 0.5452, decode.d0.loss_dice: 0.8656, decode.d1.loss_cls: 0.4073, decode.d1.loss_mask: 0.5292, decode.d1.loss_dice: 0.8081, decode.d2.loss_cls: 0.3425, decode.d2.loss_mask: 0.5152, decode.d2.loss_dice: 0.7936, decode.d3.loss_cls: 0.3232, decode.d3.loss_mask: 0.5123, decode.d3.loss_dice: 0.7738, decode.d4.loss_cls: 0.3139, decode.d4.loss_mask: 0.5153, decode.d4.loss_dice: 0.7749, decode.d5.loss_cls: 0.3112, decode.d5.loss_mask: 0.5095, decode.d5.loss_dice: 0.7777, decode.d6.loss_cls: 0.3082, decode.d6.loss_mask: 0.5090, decode.d6.loss_dice: 0.7691, decode.d7.loss_cls: 0.3091, decode.d7.loss_mask: 0.5089, decode.d7.loss_dice: 0.7704, decode.d8.loss_cls: 0.3127, decode.d8.loss_mask: 0.5092, decode.d8.loss_dice: 0.7662, loss: 17.4314, grad_norm: 71.9427 2023-11-22 08:43:45,132 - mmseg - INFO - Iter [70350/160000] lr: 5.337e-06, eta: 14:37:07, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3213, decode.loss_mask: 0.5259, decode.loss_dice: 0.7902, decode.d0.loss_cls: 1.4636, decode.d0.loss_mask: 0.5591, decode.d0.loss_dice: 0.8900, decode.d1.loss_cls: 0.4160, decode.d1.loss_mask: 0.5430, decode.d1.loss_dice: 0.8342, decode.d2.loss_cls: 0.3504, decode.d2.loss_mask: 0.5338, decode.d2.loss_dice: 0.8144, decode.d3.loss_cls: 0.3381, decode.d3.loss_mask: 0.5265, decode.d3.loss_dice: 0.7985, decode.d4.loss_cls: 0.3326, decode.d4.loss_mask: 0.5229, decode.d4.loss_dice: 0.7985, decode.d5.loss_cls: 0.3227, decode.d5.loss_mask: 0.5247, decode.d5.loss_dice: 0.7982, decode.d6.loss_cls: 0.3234, decode.d6.loss_mask: 0.5258, decode.d6.loss_dice: 0.7930, decode.d7.loss_cls: 0.3191, decode.d7.loss_mask: 0.5248, decode.d7.loss_dice: 0.7911, decode.d8.loss_cls: 0.3157, decode.d8.loss_mask: 0.5257, decode.d8.loss_dice: 0.7944, loss: 17.9174, grad_norm: 67.5359 2023-11-22 08:44:13,446 - mmseg - INFO - Iter [70400/160000] lr: 5.334e-06, eta: 14:36:36, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3057, decode.loss_mask: 0.5201, decode.loss_dice: 0.7963, decode.d0.loss_cls: 1.4160, decode.d0.loss_mask: 0.5487, decode.d0.loss_dice: 0.8901, decode.d1.loss_cls: 0.3912, decode.d1.loss_mask: 0.5396, decode.d1.loss_dice: 0.8442, decode.d2.loss_cls: 0.3448, decode.d2.loss_mask: 0.5268, decode.d2.loss_dice: 0.8148, decode.d3.loss_cls: 0.3253, decode.d3.loss_mask: 0.5211, decode.d3.loss_dice: 0.8016, decode.d4.loss_cls: 0.3148, decode.d4.loss_mask: 0.5185, decode.d4.loss_dice: 0.8026, decode.d5.loss_cls: 0.3096, decode.d5.loss_mask: 0.5241, decode.d5.loss_dice: 0.8038, decode.d6.loss_cls: 0.3108, decode.d6.loss_mask: 0.5177, decode.d6.loss_dice: 0.7963, decode.d7.loss_cls: 0.3032, decode.d7.loss_mask: 0.5191, decode.d7.loss_dice: 0.7955, decode.d8.loss_cls: 0.2984, decode.d8.loss_mask: 0.5207, decode.d8.loss_dice: 0.8022, loss: 17.7234, grad_norm: 75.9353 2023-11-22 08:44:41,828 - mmseg - INFO - Iter [70450/160000] lr: 5.331e-06, eta: 14:36:05, time: 0.568, data_time: 0.015, memory: 38143, decode.loss_cls: 0.3236, decode.loss_mask: 0.5492, decode.loss_dice: 0.8100, decode.d0.loss_cls: 1.4798, decode.d0.loss_mask: 0.5866, decode.d0.loss_dice: 0.9218, decode.d1.loss_cls: 0.4267, decode.d1.loss_mask: 0.5687, decode.d1.loss_dice: 0.8681, decode.d2.loss_cls: 0.3703, decode.d2.loss_mask: 0.5558, decode.d2.loss_dice: 0.8355, decode.d3.loss_cls: 0.3542, decode.d3.loss_mask: 0.5500, decode.d3.loss_dice: 0.8168, decode.d4.loss_cls: 0.3322, decode.d4.loss_mask: 0.5483, decode.d4.loss_dice: 0.8225, decode.d5.loss_cls: 0.3320, decode.d5.loss_mask: 0.5487, decode.d5.loss_dice: 0.8199, decode.d6.loss_cls: 0.3300, decode.d6.loss_mask: 0.5485, decode.d6.loss_dice: 0.8126, decode.d7.loss_cls: 0.3212, decode.d7.loss_mask: 0.5510, decode.d7.loss_dice: 0.8168, decode.d8.loss_cls: 0.3271, decode.d8.loss_mask: 0.5472, decode.d8.loss_dice: 0.8144, loss: 18.4893, grad_norm: 73.6391 2023-11-22 08:45:10,385 - mmseg - INFO - Iter [70500/160000] lr: 5.328e-06, eta: 14:35:35, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3094, decode.loss_mask: 0.5318, decode.loss_dice: 0.7720, decode.d0.loss_cls: 1.4625, decode.d0.loss_mask: 0.5675, decode.d0.loss_dice: 0.8771, decode.d1.loss_cls: 0.3926, decode.d1.loss_mask: 0.5493, decode.d1.loss_dice: 0.8277, decode.d2.loss_cls: 0.3455, decode.d2.loss_mask: 0.5410, decode.d2.loss_dice: 0.7939, decode.d3.loss_cls: 0.3224, decode.d3.loss_mask: 0.5372, decode.d3.loss_dice: 0.7785, decode.d4.loss_cls: 0.3123, decode.d4.loss_mask: 0.5360, decode.d4.loss_dice: 0.7830, decode.d5.loss_cls: 0.3094, decode.d5.loss_mask: 0.5317, decode.d5.loss_dice: 0.7805, decode.d6.loss_cls: 0.3084, decode.d6.loss_mask: 0.5331, decode.d6.loss_dice: 0.7771, decode.d7.loss_cls: 0.3030, decode.d7.loss_mask: 0.5330, decode.d7.loss_dice: 0.7725, decode.d8.loss_cls: 0.3057, decode.d8.loss_mask: 0.5331, decode.d8.loss_dice: 0.7754, loss: 17.7027, grad_norm: 70.1478 2023-11-22 08:45:39,084 - mmseg - INFO - Iter [70550/160000] lr: 5.325e-06, eta: 14:35:05, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2948, decode.loss_mask: 0.5284, decode.loss_dice: 0.8012, decode.d0.loss_cls: 1.4346, decode.d0.loss_mask: 0.5651, decode.d0.loss_dice: 0.9056, decode.d1.loss_cls: 0.3909, decode.d1.loss_mask: 0.5496, decode.d1.loss_dice: 0.8524, decode.d2.loss_cls: 0.3375, decode.d2.loss_mask: 0.5357, decode.d2.loss_dice: 0.8137, decode.d3.loss_cls: 0.3148, decode.d3.loss_mask: 0.5297, decode.d3.loss_dice: 0.8031, decode.d4.loss_cls: 0.3107, decode.d4.loss_mask: 0.5260, decode.d4.loss_dice: 0.7989, decode.d5.loss_cls: 0.3010, decode.d5.loss_mask: 0.5287, decode.d5.loss_dice: 0.7972, decode.d6.loss_cls: 0.3010, decode.d6.loss_mask: 0.5265, decode.d6.loss_dice: 0.7965, decode.d7.loss_cls: 0.2963, decode.d7.loss_mask: 0.5256, decode.d7.loss_dice: 0.7982, decode.d8.loss_cls: 0.2971, decode.d8.loss_mask: 0.5261, decode.d8.loss_dice: 0.8019, loss: 17.7888, grad_norm: 76.5785 2023-11-22 08:46:07,506 - mmseg - INFO - Iter [70600/160000] lr: 5.322e-06, eta: 14:34:34, time: 0.568, data_time: 0.015, memory: 38143, decode.loss_cls: 0.2955, decode.loss_mask: 0.5233, decode.loss_dice: 0.7654, decode.d0.loss_cls: 1.4277, decode.d0.loss_mask: 0.5547, decode.d0.loss_dice: 0.8585, decode.d1.loss_cls: 0.3896, decode.d1.loss_mask: 0.5454, decode.d1.loss_dice: 0.8025, decode.d2.loss_cls: 0.3266, decode.d2.loss_mask: 0.5303, decode.d2.loss_dice: 0.7832, decode.d3.loss_cls: 0.3101, decode.d3.loss_mask: 0.5272, decode.d3.loss_dice: 0.7689, decode.d4.loss_cls: 0.3068, decode.d4.loss_mask: 0.5261, decode.d4.loss_dice: 0.7676, decode.d5.loss_cls: 0.2931, decode.d5.loss_mask: 0.5255, decode.d5.loss_dice: 0.7689, decode.d6.loss_cls: 0.2963, decode.d6.loss_mask: 0.5239, decode.d6.loss_dice: 0.7661, decode.d7.loss_cls: 0.2893, decode.d7.loss_mask: 0.5231, decode.d7.loss_dice: 0.7662, decode.d8.loss_cls: 0.2912, decode.d8.loss_mask: 0.5244, decode.d8.loss_dice: 0.7675, loss: 17.3449, grad_norm: 70.6193 2023-11-22 08:46:35,847 - mmseg - INFO - Iter [70650/160000] lr: 5.319e-06, eta: 14:34:04, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2894, decode.loss_mask: 0.5348, decode.loss_dice: 0.7870, decode.d0.loss_cls: 1.4034, decode.d0.loss_mask: 0.5684, decode.d0.loss_dice: 0.8771, decode.d1.loss_cls: 0.3822, decode.d1.loss_mask: 0.5536, decode.d1.loss_dice: 0.8301, decode.d2.loss_cls: 0.3276, decode.d2.loss_mask: 0.5466, decode.d2.loss_dice: 0.8116, decode.d3.loss_cls: 0.3062, decode.d3.loss_mask: 0.5424, decode.d3.loss_dice: 0.7920, decode.d4.loss_cls: 0.2956, decode.d4.loss_mask: 0.5411, decode.d4.loss_dice: 0.7905, decode.d5.loss_cls: 0.2922, decode.d5.loss_mask: 0.5346, decode.d5.loss_dice: 0.7924, decode.d6.loss_cls: 0.2881, decode.d6.loss_mask: 0.5384, decode.d6.loss_dice: 0.7875, decode.d7.loss_cls: 0.2857, decode.d7.loss_mask: 0.5366, decode.d7.loss_dice: 0.7851, decode.d8.loss_cls: 0.2841, decode.d8.loss_mask: 0.5364, decode.d8.loss_dice: 0.7886, loss: 17.6291, grad_norm: 78.6854 2023-11-22 08:47:04,223 - mmseg - INFO - Iter [70700/160000] lr: 5.316e-06, eta: 14:33:33, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2982, decode.loss_mask: 0.5353, decode.loss_dice: 0.7814, decode.d0.loss_cls: 1.4119, decode.d0.loss_mask: 0.5694, decode.d0.loss_dice: 0.8718, decode.d1.loss_cls: 0.3835, decode.d1.loss_mask: 0.5575, decode.d1.loss_dice: 0.8247, decode.d2.loss_cls: 0.3344, decode.d2.loss_mask: 0.5432, decode.d2.loss_dice: 0.8029, decode.d3.loss_cls: 0.3122, decode.d3.loss_mask: 0.5421, decode.d3.loss_dice: 0.7895, decode.d4.loss_cls: 0.3159, decode.d4.loss_mask: 0.5383, decode.d4.loss_dice: 0.7891, decode.d5.loss_cls: 0.3061, decode.d5.loss_mask: 0.5357, decode.d5.loss_dice: 0.7872, decode.d6.loss_cls: 0.3019, decode.d6.loss_mask: 0.5347, decode.d6.loss_dice: 0.7796, decode.d7.loss_cls: 0.2975, decode.d7.loss_mask: 0.5365, decode.d7.loss_dice: 0.7829, decode.d8.loss_cls: 0.2973, decode.d8.loss_mask: 0.5362, decode.d8.loss_dice: 0.7852, loss: 17.6821, grad_norm: 70.2227 2023-11-22 08:47:35,019 - mmseg - INFO - Iter [70750/160000] lr: 5.313e-06, eta: 14:33:06, time: 0.616, data_time: 0.058, memory: 38143, decode.loss_cls: 0.3068, decode.loss_mask: 0.5250, decode.loss_dice: 0.7971, decode.d0.loss_cls: 1.4390, decode.d0.loss_mask: 0.5628, decode.d0.loss_dice: 0.8960, decode.d1.loss_cls: 0.3930, decode.d1.loss_mask: 0.5452, decode.d1.loss_dice: 0.8511, decode.d2.loss_cls: 0.3509, decode.d2.loss_mask: 0.5343, decode.d2.loss_dice: 0.8236, decode.d3.loss_cls: 0.3213, decode.d3.loss_mask: 0.5306, decode.d3.loss_dice: 0.8101, decode.d4.loss_cls: 0.3182, decode.d4.loss_mask: 0.5261, decode.d4.loss_dice: 0.8036, decode.d5.loss_cls: 0.3167, decode.d5.loss_mask: 0.5274, decode.d5.loss_dice: 0.8025, decode.d6.loss_cls: 0.3077, decode.d6.loss_mask: 0.5263, decode.d6.loss_dice: 0.7974, decode.d7.loss_cls: 0.3032, decode.d7.loss_mask: 0.5250, decode.d7.loss_dice: 0.7987, decode.d8.loss_cls: 0.3086, decode.d8.loss_mask: 0.5263, decode.d8.loss_dice: 0.8011, loss: 17.8757, grad_norm: 72.9694 2023-11-22 08:48:03,477 - mmseg - INFO - Iter [70800/160000] lr: 5.310e-06, eta: 14:32:35, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3115, decode.loss_mask: 0.5249, decode.loss_dice: 0.7846, decode.d0.loss_cls: 1.4444, decode.d0.loss_mask: 0.5604, decode.d0.loss_dice: 0.9022, decode.d1.loss_cls: 0.4068, decode.d1.loss_mask: 0.5475, decode.d1.loss_dice: 0.8359, decode.d2.loss_cls: 0.3438, decode.d2.loss_mask: 0.5325, decode.d2.loss_dice: 0.8061, decode.d3.loss_cls: 0.3261, decode.d3.loss_mask: 0.5283, decode.d3.loss_dice: 0.7960, decode.d4.loss_cls: 0.3161, decode.d4.loss_mask: 0.5263, decode.d4.loss_dice: 0.7957, decode.d5.loss_cls: 0.3121, decode.d5.loss_mask: 0.5279, decode.d5.loss_dice: 0.7903, decode.d6.loss_cls: 0.3139, decode.d6.loss_mask: 0.5267, decode.d6.loss_dice: 0.7783, decode.d7.loss_cls: 0.3040, decode.d7.loss_mask: 0.5262, decode.d7.loss_dice: 0.7875, decode.d8.loss_cls: 0.3061, decode.d8.loss_mask: 0.5256, decode.d8.loss_dice: 0.7877, loss: 17.7753, grad_norm: 73.2029 2023-11-22 08:48:32,283 - mmseg - INFO - Iter [70850/160000] lr: 5.307e-06, eta: 14:32:05, time: 0.576, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3212, decode.loss_mask: 0.5243, decode.loss_dice: 0.7952, decode.d0.loss_cls: 1.4437, decode.d0.loss_mask: 0.5587, decode.d0.loss_dice: 0.8981, decode.d1.loss_cls: 0.4103, decode.d1.loss_mask: 0.5407, decode.d1.loss_dice: 0.8390, decode.d2.loss_cls: 0.3496, decode.d2.loss_mask: 0.5360, decode.d2.loss_dice: 0.8249, decode.d3.loss_cls: 0.3355, decode.d3.loss_mask: 0.5297, decode.d3.loss_dice: 0.8057, decode.d4.loss_cls: 0.3307, decode.d4.loss_mask: 0.5282, decode.d4.loss_dice: 0.8066, decode.d5.loss_cls: 0.3286, decode.d5.loss_mask: 0.5268, decode.d5.loss_dice: 0.8000, decode.d6.loss_cls: 0.3250, decode.d6.loss_mask: 0.5253, decode.d6.loss_dice: 0.7953, decode.d7.loss_cls: 0.3270, decode.d7.loss_mask: 0.5233, decode.d7.loss_dice: 0.7939, decode.d8.loss_cls: 0.3232, decode.d8.loss_mask: 0.5235, decode.d8.loss_dice: 0.7972, loss: 17.9674, grad_norm: 73.1821 2023-11-22 08:49:00,598 - mmseg - INFO - Iter [70900/160000] lr: 5.304e-06, eta: 14:31:34, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3007, decode.loss_mask: 0.5169, decode.loss_dice: 0.7937, decode.d0.loss_cls: 1.4642, decode.d0.loss_mask: 0.5623, decode.d0.loss_dice: 0.9010, decode.d1.loss_cls: 0.3998, decode.d1.loss_mask: 0.5457, decode.d1.loss_dice: 0.8454, decode.d2.loss_cls: 0.3411, decode.d2.loss_mask: 0.5320, decode.d2.loss_dice: 0.8153, decode.d3.loss_cls: 0.3238, decode.d3.loss_mask: 0.5226, decode.d3.loss_dice: 0.8035, decode.d4.loss_cls: 0.3119, decode.d4.loss_mask: 0.5244, decode.d4.loss_dice: 0.7972, decode.d5.loss_cls: 0.3106, decode.d5.loss_mask: 0.5210, decode.d5.loss_dice: 0.7941, decode.d6.loss_cls: 0.3091, decode.d6.loss_mask: 0.5167, decode.d6.loss_dice: 0.7942, decode.d7.loss_cls: 0.3025, decode.d7.loss_mask: 0.5185, decode.d7.loss_dice: 0.7978, decode.d8.loss_cls: 0.3016, decode.d8.loss_mask: 0.5175, decode.d8.loss_dice: 0.7950, loss: 17.7800, grad_norm: 70.8298 2023-11-22 08:49:29,018 - mmseg - INFO - Iter [70950/160000] lr: 5.301e-06, eta: 14:31:04, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3109, decode.loss_mask: 0.5369, decode.loss_dice: 0.7834, decode.d0.loss_cls: 1.4441, decode.d0.loss_mask: 0.5696, decode.d0.loss_dice: 0.8723, decode.d1.loss_cls: 0.4051, decode.d1.loss_mask: 0.5565, decode.d1.loss_dice: 0.8300, decode.d2.loss_cls: 0.3467, decode.d2.loss_mask: 0.5430, decode.d2.loss_dice: 0.8097, decode.d3.loss_cls: 0.3280, decode.d3.loss_mask: 0.5405, decode.d3.loss_dice: 0.7940, decode.d4.loss_cls: 0.3242, decode.d4.loss_mask: 0.5392, decode.d4.loss_dice: 0.7951, decode.d5.loss_cls: 0.3224, decode.d5.loss_mask: 0.5392, decode.d5.loss_dice: 0.7879, decode.d6.loss_cls: 0.3173, decode.d6.loss_mask: 0.5377, decode.d6.loss_dice: 0.7847, decode.d7.loss_cls: 0.3143, decode.d7.loss_mask: 0.5372, decode.d7.loss_dice: 0.7843, decode.d8.loss_cls: 0.3118, decode.d8.loss_mask: 0.5357, decode.d8.loss_dice: 0.7844, loss: 17.8862, grad_norm: 69.3053 2023-11-22 08:49:57,366 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 08:49:57,366 - mmseg - INFO - Iter [71000/160000] lr: 5.298e-06, eta: 14:30:33, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2955, decode.loss_mask: 0.5244, decode.loss_dice: 0.7741, decode.d0.loss_cls: 1.4203, decode.d0.loss_mask: 0.5587, decode.d0.loss_dice: 0.8764, decode.d1.loss_cls: 0.3850, decode.d1.loss_mask: 0.5397, decode.d1.loss_dice: 0.8210, decode.d2.loss_cls: 0.3345, decode.d2.loss_mask: 0.5362, decode.d2.loss_dice: 0.7943, decode.d3.loss_cls: 0.3162, decode.d3.loss_mask: 0.5290, decode.d3.loss_dice: 0.7848, decode.d4.loss_cls: 0.3038, decode.d4.loss_mask: 0.5268, decode.d4.loss_dice: 0.7858, decode.d5.loss_cls: 0.2999, decode.d5.loss_mask: 0.5269, decode.d5.loss_dice: 0.7802, decode.d6.loss_cls: 0.3012, decode.d6.loss_mask: 0.5262, decode.d6.loss_dice: 0.7738, decode.d7.loss_cls: 0.2971, decode.d7.loss_mask: 0.5264, decode.d7.loss_dice: 0.7751, decode.d8.loss_cls: 0.2990, decode.d8.loss_mask: 0.5244, decode.d8.loss_dice: 0.7785, loss: 17.5153, grad_norm: 72.5386 2023-11-22 08:50:25,686 - mmseg - INFO - Iter [71050/160000] lr: 5.295e-06, eta: 14:30:03, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2903, decode.loss_mask: 0.5241, decode.loss_dice: 0.7776, decode.d0.loss_cls: 1.4009, decode.d0.loss_mask: 0.5648, decode.d0.loss_dice: 0.8821, decode.d1.loss_cls: 0.3814, decode.d1.loss_mask: 0.5409, decode.d1.loss_dice: 0.8230, decode.d2.loss_cls: 0.3282, decode.d2.loss_mask: 0.5298, decode.d2.loss_dice: 0.7914, decode.d3.loss_cls: 0.3123, decode.d3.loss_mask: 0.5259, decode.d3.loss_dice: 0.7793, decode.d4.loss_cls: 0.3061, decode.d4.loss_mask: 0.5229, decode.d4.loss_dice: 0.7787, decode.d5.loss_cls: 0.2989, decode.d5.loss_mask: 0.5229, decode.d5.loss_dice: 0.7820, decode.d6.loss_cls: 0.2932, decode.d6.loss_mask: 0.5248, decode.d6.loss_dice: 0.7774, decode.d7.loss_cls: 0.2925, decode.d7.loss_mask: 0.5245, decode.d7.loss_dice: 0.7762, decode.d8.loss_cls: 0.2916, decode.d8.loss_mask: 0.5259, decode.d8.loss_dice: 0.7782, loss: 17.4477, grad_norm: 74.5315 2023-11-22 08:50:54,183 - mmseg - INFO - Iter [71100/160000] lr: 5.292e-06, eta: 14:29:32, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3009, decode.loss_mask: 0.5095, decode.loss_dice: 0.7746, decode.d0.loss_cls: 1.4204, decode.d0.loss_mask: 0.5425, decode.d0.loss_dice: 0.8706, decode.d1.loss_cls: 0.3971, decode.d1.loss_mask: 0.5270, decode.d1.loss_dice: 0.8169, decode.d2.loss_cls: 0.3476, decode.d2.loss_mask: 0.5174, decode.d2.loss_dice: 0.7931, decode.d3.loss_cls: 0.3228, decode.d3.loss_mask: 0.5143, decode.d3.loss_dice: 0.7784, decode.d4.loss_cls: 0.3198, decode.d4.loss_mask: 0.5127, decode.d4.loss_dice: 0.7848, decode.d5.loss_cls: 0.3102, decode.d5.loss_mask: 0.5109, decode.d5.loss_dice: 0.7773, decode.d6.loss_cls: 0.3069, decode.d6.loss_mask: 0.5093, decode.d6.loss_dice: 0.7689, decode.d7.loss_cls: 0.3010, decode.d7.loss_mask: 0.5086, decode.d7.loss_dice: 0.7728, decode.d8.loss_cls: 0.3046, decode.d8.loss_mask: 0.5111, decode.d8.loss_dice: 0.7730, loss: 17.4048, grad_norm: 67.6988 2023-11-22 08:51:23,092 - mmseg - INFO - Iter [71150/160000] lr: 5.289e-06, eta: 14:29:02, time: 0.578, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2815, decode.loss_mask: 0.5283, decode.loss_dice: 0.7853, decode.d0.loss_cls: 1.4201, decode.d0.loss_mask: 0.5697, decode.d0.loss_dice: 0.8886, decode.d1.loss_cls: 0.3816, decode.d1.loss_mask: 0.5502, decode.d1.loss_dice: 0.8316, decode.d2.loss_cls: 0.3241, decode.d2.loss_mask: 0.5392, decode.d2.loss_dice: 0.8088, decode.d3.loss_cls: 0.3083, decode.d3.loss_mask: 0.5361, decode.d3.loss_dice: 0.7941, decode.d4.loss_cls: 0.2964, decode.d4.loss_mask: 0.5330, decode.d4.loss_dice: 0.7948, decode.d5.loss_cls: 0.2942, decode.d5.loss_mask: 0.5337, decode.d5.loss_dice: 0.7921, decode.d6.loss_cls: 0.2924, decode.d6.loss_mask: 0.5280, decode.d6.loss_dice: 0.7877, decode.d7.loss_cls: 0.2851, decode.d7.loss_mask: 0.5283, decode.d7.loss_dice: 0.7898, decode.d8.loss_cls: 0.2833, decode.d8.loss_mask: 0.5274, decode.d8.loss_dice: 0.7924, loss: 17.6061, grad_norm: 70.9389 2023-11-22 08:51:51,467 - mmseg - INFO - Iter [71200/160000] lr: 5.286e-06, eta: 14:28:32, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2849, decode.loss_mask: 0.5174, decode.loss_dice: 0.7430, decode.d0.loss_cls: 1.4041, decode.d0.loss_mask: 0.5481, decode.d0.loss_dice: 0.8415, decode.d1.loss_cls: 0.3695, decode.d1.loss_mask: 0.5366, decode.d1.loss_dice: 0.7950, decode.d2.loss_cls: 0.3233, decode.d2.loss_mask: 0.5224, decode.d2.loss_dice: 0.7706, decode.d3.loss_cls: 0.2969, decode.d3.loss_mask: 0.5191, decode.d3.loss_dice: 0.7601, decode.d4.loss_cls: 0.2917, decode.d4.loss_mask: 0.5189, decode.d4.loss_dice: 0.7561, decode.d5.loss_cls: 0.2872, decode.d5.loss_mask: 0.5186, decode.d5.loss_dice: 0.7553, decode.d6.loss_cls: 0.2872, decode.d6.loss_mask: 0.5164, decode.d6.loss_dice: 0.7507, decode.d7.loss_cls: 0.2831, decode.d7.loss_mask: 0.5172, decode.d7.loss_dice: 0.7518, decode.d8.loss_cls: 0.2868, decode.d8.loss_mask: 0.5152, decode.d8.loss_dice: 0.7507, loss: 17.0194, grad_norm: 71.7317 2023-11-22 08:52:20,042 - mmseg - INFO - Iter [71250/160000] lr: 5.283e-06, eta: 14:28:02, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3103, decode.loss_mask: 0.4990, decode.loss_dice: 0.7733, decode.d0.loss_cls: 1.4467, decode.d0.loss_mask: 0.5353, decode.d0.loss_dice: 0.8789, decode.d1.loss_cls: 0.4090, decode.d1.loss_mask: 0.5152, decode.d1.loss_dice: 0.8193, decode.d2.loss_cls: 0.3469, decode.d2.loss_mask: 0.5062, decode.d2.loss_dice: 0.7945, decode.d3.loss_cls: 0.3309, decode.d3.loss_mask: 0.5013, decode.d3.loss_dice: 0.7770, decode.d4.loss_cls: 0.3203, decode.d4.loss_mask: 0.5011, decode.d4.loss_dice: 0.7806, decode.d5.loss_cls: 0.3211, decode.d5.loss_mask: 0.5002, decode.d5.loss_dice: 0.7822, decode.d6.loss_cls: 0.3158, decode.d6.loss_mask: 0.4986, decode.d6.loss_dice: 0.7728, decode.d7.loss_cls: 0.3103, decode.d7.loss_mask: 0.4985, decode.d7.loss_dice: 0.7741, decode.d8.loss_cls: 0.3128, decode.d8.loss_mask: 0.4977, decode.d8.loss_dice: 0.7773, loss: 17.4070, grad_norm: 78.0671 2023-11-22 08:52:48,362 - mmseg - INFO - Iter [71300/160000] lr: 5.280e-06, eta: 14:27:31, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2818, decode.loss_mask: 0.5428, decode.loss_dice: 0.7755, decode.d0.loss_cls: 1.4248, decode.d0.loss_mask: 0.5762, decode.d0.loss_dice: 0.8753, decode.d1.loss_cls: 0.3766, decode.d1.loss_mask: 0.5636, decode.d1.loss_dice: 0.8168, decode.d2.loss_cls: 0.3282, decode.d2.loss_mask: 0.5497, decode.d2.loss_dice: 0.7962, decode.d3.loss_cls: 0.3018, decode.d3.loss_mask: 0.5490, decode.d3.loss_dice: 0.7864, decode.d4.loss_cls: 0.2933, decode.d4.loss_mask: 0.5449, decode.d4.loss_dice: 0.7841, decode.d5.loss_cls: 0.2935, decode.d5.loss_mask: 0.5446, decode.d5.loss_dice: 0.7820, decode.d6.loss_cls: 0.2941, decode.d6.loss_mask: 0.5447, decode.d6.loss_dice: 0.7770, decode.d7.loss_cls: 0.2862, decode.d7.loss_mask: 0.5430, decode.d7.loss_dice: 0.7794, decode.d8.loss_cls: 0.2841, decode.d8.loss_mask: 0.5442, decode.d8.loss_dice: 0.7834, loss: 17.6234, grad_norm: 72.8711 2023-11-22 08:53:16,843 - mmseg - INFO - Iter [71350/160000] lr: 5.277e-06, eta: 14:27:01, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3145, decode.loss_mask: 0.5270, decode.loss_dice: 0.7752, decode.d0.loss_cls: 1.4327, decode.d0.loss_mask: 0.5614, decode.d0.loss_dice: 0.8786, decode.d1.loss_cls: 0.4069, decode.d1.loss_mask: 0.5488, decode.d1.loss_dice: 0.8301, decode.d2.loss_cls: 0.3517, decode.d2.loss_mask: 0.5366, decode.d2.loss_dice: 0.8100, decode.d3.loss_cls: 0.3382, decode.d3.loss_mask: 0.5290, decode.d3.loss_dice: 0.7895, decode.d4.loss_cls: 0.3318, decode.d4.loss_mask: 0.5270, decode.d4.loss_dice: 0.7854, decode.d5.loss_cls: 0.3185, decode.d5.loss_mask: 0.5308, decode.d5.loss_dice: 0.7818, decode.d6.loss_cls: 0.3149, decode.d6.loss_mask: 0.5272, decode.d6.loss_dice: 0.7777, decode.d7.loss_cls: 0.3172, decode.d7.loss_mask: 0.5262, decode.d7.loss_dice: 0.7796, decode.d8.loss_cls: 0.3125, decode.d8.loss_mask: 0.5283, decode.d8.loss_dice: 0.7796, loss: 17.7686, grad_norm: 71.1104 2023-11-22 08:53:45,576 - mmseg - INFO - Iter [71400/160000] lr: 5.274e-06, eta: 14:26:30, time: 0.575, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2881, decode.loss_mask: 0.5391, decode.loss_dice: 0.7990, decode.d0.loss_cls: 1.4142, decode.d0.loss_mask: 0.5774, decode.d0.loss_dice: 0.8925, decode.d1.loss_cls: 0.3869, decode.d1.loss_mask: 0.5599, decode.d1.loss_dice: 0.8425, decode.d2.loss_cls: 0.3265, decode.d2.loss_mask: 0.5543, decode.d2.loss_dice: 0.8133, decode.d3.loss_cls: 0.3099, decode.d3.loss_mask: 0.5451, decode.d3.loss_dice: 0.8029, decode.d4.loss_cls: 0.3009, decode.d4.loss_mask: 0.5457, decode.d4.loss_dice: 0.8065, decode.d5.loss_cls: 0.3034, decode.d5.loss_mask: 0.5429, decode.d5.loss_dice: 0.8000, decode.d6.loss_cls: 0.2959, decode.d6.loss_mask: 0.5440, decode.d6.loss_dice: 0.8000, decode.d7.loss_cls: 0.2920, decode.d7.loss_mask: 0.5407, decode.d7.loss_dice: 0.7989, decode.d8.loss_cls: 0.2902, decode.d8.loss_mask: 0.5396, decode.d8.loss_dice: 0.7971, loss: 17.8494, grad_norm: 75.3389 2023-11-22 08:54:14,271 - mmseg - INFO - Iter [71450/160000] lr: 5.271e-06, eta: 14:26:00, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3214, decode.loss_mask: 0.5353, decode.loss_dice: 0.7773, decode.d0.loss_cls: 1.4587, decode.d0.loss_mask: 0.5710, decode.d0.loss_dice: 0.8753, decode.d1.loss_cls: 0.4136, decode.d1.loss_mask: 0.5579, decode.d1.loss_dice: 0.8290, decode.d2.loss_cls: 0.3566, decode.d2.loss_mask: 0.5440, decode.d2.loss_dice: 0.8015, decode.d3.loss_cls: 0.3387, decode.d3.loss_mask: 0.5365, decode.d3.loss_dice: 0.7824, decode.d4.loss_cls: 0.3291, decode.d4.loss_mask: 0.5371, decode.d4.loss_dice: 0.7884, decode.d5.loss_cls: 0.3276, decode.d5.loss_mask: 0.5361, decode.d5.loss_dice: 0.7853, decode.d6.loss_cls: 0.3217, decode.d6.loss_mask: 0.5370, decode.d6.loss_dice: 0.7811, decode.d7.loss_cls: 0.3226, decode.d7.loss_mask: 0.5363, decode.d7.loss_dice: 0.7821, decode.d8.loss_cls: 0.3170, decode.d8.loss_mask: 0.5351, decode.d8.loss_dice: 0.7782, loss: 17.9141, grad_norm: 73.7004 2023-11-22 08:54:42,650 - mmseg - INFO - Iter [71500/160000] lr: 5.268e-06, eta: 14:25:30, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2843, decode.loss_mask: 0.5240, decode.loss_dice: 0.7761, decode.d0.loss_cls: 1.4129, decode.d0.loss_mask: 0.5638, decode.d0.loss_dice: 0.8716, decode.d1.loss_cls: 0.3747, decode.d1.loss_mask: 0.5486, decode.d1.loss_dice: 0.8270, decode.d2.loss_cls: 0.3244, decode.d2.loss_mask: 0.5348, decode.d2.loss_dice: 0.7989, decode.d3.loss_cls: 0.3035, decode.d3.loss_mask: 0.5270, decode.d3.loss_dice: 0.7890, decode.d4.loss_cls: 0.2934, decode.d4.loss_mask: 0.5258, decode.d4.loss_dice: 0.7788, decode.d5.loss_cls: 0.2877, decode.d5.loss_mask: 0.5269, decode.d5.loss_dice: 0.7791, decode.d6.loss_cls: 0.2904, decode.d6.loss_mask: 0.5240, decode.d6.loss_dice: 0.7753, decode.d7.loss_cls: 0.2851, decode.d7.loss_mask: 0.5241, decode.d7.loss_dice: 0.7752, decode.d8.loss_cls: 0.2841, decode.d8.loss_mask: 0.5260, decode.d8.loss_dice: 0.7815, loss: 17.4180, grad_norm: 66.3858 2023-11-22 08:55:11,011 - mmseg - INFO - Iter [71550/160000] lr: 5.266e-06, eta: 14:24:59, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2995, decode.loss_mask: 0.5480, decode.loss_dice: 0.7786, decode.d0.loss_cls: 1.4200, decode.d0.loss_mask: 0.5767, decode.d0.loss_dice: 0.8763, decode.d1.loss_cls: 0.3952, decode.d1.loss_mask: 0.5677, decode.d1.loss_dice: 0.8261, decode.d2.loss_cls: 0.3335, decode.d2.loss_mask: 0.5560, decode.d2.loss_dice: 0.8010, decode.d3.loss_cls: 0.3151, decode.d3.loss_mask: 0.5490, decode.d3.loss_dice: 0.7892, decode.d4.loss_cls: 0.3129, decode.d4.loss_mask: 0.5478, decode.d4.loss_dice: 0.7818, decode.d5.loss_cls: 0.3062, decode.d5.loss_mask: 0.5471, decode.d5.loss_dice: 0.7833, decode.d6.loss_cls: 0.3100, decode.d6.loss_mask: 0.5464, decode.d6.loss_dice: 0.7727, decode.d7.loss_cls: 0.2972, decode.d7.loss_mask: 0.5478, decode.d7.loss_dice: 0.7799, decode.d8.loss_cls: 0.3028, decode.d8.loss_mask: 0.5454, decode.d8.loss_dice: 0.7841, loss: 17.7974, grad_norm: 75.8158 2023-11-22 08:55:39,433 - mmseg - INFO - Iter [71600/160000] lr: 5.263e-06, eta: 14:24:29, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2908, decode.loss_mask: 0.5309, decode.loss_dice: 0.7762, decode.d0.loss_cls: 1.3924, decode.d0.loss_mask: 0.5630, decode.d0.loss_dice: 0.8703, decode.d1.loss_cls: 0.3807, decode.d1.loss_mask: 0.5530, decode.d1.loss_dice: 0.8207, decode.d2.loss_cls: 0.3332, decode.d2.loss_mask: 0.5379, decode.d2.loss_dice: 0.7956, decode.d3.loss_cls: 0.3146, decode.d3.loss_mask: 0.5323, decode.d3.loss_dice: 0.7783, decode.d4.loss_cls: 0.3077, decode.d4.loss_mask: 0.5323, decode.d4.loss_dice: 0.7754, decode.d5.loss_cls: 0.3020, decode.d5.loss_mask: 0.5305, decode.d5.loss_dice: 0.7801, decode.d6.loss_cls: 0.2968, decode.d6.loss_mask: 0.5299, decode.d6.loss_dice: 0.7732, decode.d7.loss_cls: 0.2944, decode.d7.loss_mask: 0.5318, decode.d7.loss_dice: 0.7767, decode.d8.loss_cls: 0.2879, decode.d8.loss_mask: 0.5315, decode.d8.loss_dice: 0.7777, loss: 17.4972, grad_norm: 68.4940 2023-11-22 08:56:07,892 - mmseg - INFO - Iter [71650/160000] lr: 5.260e-06, eta: 14:23:58, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3050, decode.loss_mask: 0.5343, decode.loss_dice: 0.7840, decode.d0.loss_cls: 1.4370, decode.d0.loss_mask: 0.5682, decode.d0.loss_dice: 0.8894, decode.d1.loss_cls: 0.3978, decode.d1.loss_mask: 0.5554, decode.d1.loss_dice: 0.8356, decode.d2.loss_cls: 0.3340, decode.d2.loss_mask: 0.5465, decode.d2.loss_dice: 0.8094, decode.d3.loss_cls: 0.3172, decode.d3.loss_mask: 0.5422, decode.d3.loss_dice: 0.7970, decode.d4.loss_cls: 0.3143, decode.d4.loss_mask: 0.5384, decode.d4.loss_dice: 0.7893, decode.d5.loss_cls: 0.3105, decode.d5.loss_mask: 0.5390, decode.d5.loss_dice: 0.7925, decode.d6.loss_cls: 0.3110, decode.d6.loss_mask: 0.5356, decode.d6.loss_dice: 0.7816, decode.d7.loss_cls: 0.3081, decode.d7.loss_mask: 0.5368, decode.d7.loss_dice: 0.7827, decode.d8.loss_cls: 0.3037, decode.d8.loss_mask: 0.5359, decode.d8.loss_dice: 0.7837, loss: 17.8163, grad_norm: 81.7775 2023-11-22 08:56:36,743 - mmseg - INFO - Iter [71700/160000] lr: 5.257e-06, eta: 14:23:28, time: 0.577, data_time: 0.015, memory: 38143, decode.loss_cls: 0.3025, decode.loss_mask: 0.5157, decode.loss_dice: 0.7685, decode.d0.loss_cls: 1.4736, decode.d0.loss_mask: 0.5509, decode.d0.loss_dice: 0.8778, decode.d1.loss_cls: 0.3886, decode.d1.loss_mask: 0.5361, decode.d1.loss_dice: 0.8232, decode.d2.loss_cls: 0.3413, decode.d2.loss_mask: 0.5241, decode.d2.loss_dice: 0.7952, decode.d3.loss_cls: 0.3230, decode.d3.loss_mask: 0.5208, decode.d3.loss_dice: 0.7784, decode.d4.loss_cls: 0.3111, decode.d4.loss_mask: 0.5185, decode.d4.loss_dice: 0.7791, decode.d5.loss_cls: 0.3048, decode.d5.loss_mask: 0.5170, decode.d5.loss_dice: 0.7740, decode.d6.loss_cls: 0.3050, decode.d6.loss_mask: 0.5133, decode.d6.loss_dice: 0.7719, decode.d7.loss_cls: 0.3015, decode.d7.loss_mask: 0.5157, decode.d7.loss_dice: 0.7699, decode.d8.loss_cls: 0.3033, decode.d8.loss_mask: 0.5161, decode.d8.loss_dice: 0.7725, loss: 17.4930, grad_norm: 71.0318 2023-11-22 08:57:05,324 - mmseg - INFO - Iter [71750/160000] lr: 5.254e-06, eta: 14:22:58, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3253, decode.loss_mask: 0.5314, decode.loss_dice: 0.7927, decode.d0.loss_cls: 1.4703, decode.d0.loss_mask: 0.5646, decode.d0.loss_dice: 0.8918, decode.d1.loss_cls: 0.4261, decode.d1.loss_mask: 0.5515, decode.d1.loss_dice: 0.8413, decode.d2.loss_cls: 0.3713, decode.d2.loss_mask: 0.5404, decode.d2.loss_dice: 0.8164, decode.d3.loss_cls: 0.3532, decode.d3.loss_mask: 0.5330, decode.d3.loss_dice: 0.7970, decode.d4.loss_cls: 0.3379, decode.d4.loss_mask: 0.5317, decode.d4.loss_dice: 0.8017, decode.d5.loss_cls: 0.3343, decode.d5.loss_mask: 0.5336, decode.d5.loss_dice: 0.7979, decode.d6.loss_cls: 0.3279, decode.d6.loss_mask: 0.5303, decode.d6.loss_dice: 0.7953, decode.d7.loss_cls: 0.3300, decode.d7.loss_mask: 0.5313, decode.d7.loss_dice: 0.7907, decode.d8.loss_cls: 0.3263, decode.d8.loss_mask: 0.5319, decode.d8.loss_dice: 0.7916, loss: 18.0986, grad_norm: 74.4431 2023-11-22 08:57:33,683 - mmseg - INFO - Iter [71800/160000] lr: 5.251e-06, eta: 14:22:28, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3049, decode.loss_mask: 0.5311, decode.loss_dice: 0.8260, decode.d0.loss_cls: 1.4474, decode.d0.loss_mask: 0.5641, decode.d0.loss_dice: 0.9232, decode.d1.loss_cls: 0.3943, decode.d1.loss_mask: 0.5554, decode.d1.loss_dice: 0.8649, decode.d2.loss_cls: 0.3434, decode.d2.loss_mask: 0.5414, decode.d2.loss_dice: 0.8469, decode.d3.loss_cls: 0.3188, decode.d3.loss_mask: 0.5367, decode.d3.loss_dice: 0.8331, decode.d4.loss_cls: 0.3145, decode.d4.loss_mask: 0.5344, decode.d4.loss_dice: 0.8309, decode.d5.loss_cls: 0.3107, decode.d5.loss_mask: 0.5321, decode.d5.loss_dice: 0.8324, decode.d6.loss_cls: 0.3075, decode.d6.loss_mask: 0.5321, decode.d6.loss_dice: 0.8252, decode.d7.loss_cls: 0.3056, decode.d7.loss_mask: 0.5327, decode.d7.loss_dice: 0.8197, decode.d8.loss_cls: 0.3054, decode.d8.loss_mask: 0.5304, decode.d8.loss_dice: 0.8245, loss: 18.1697, grad_norm: 71.7843 2023-11-22 08:58:02,044 - mmseg - INFO - Iter [71850/160000] lr: 5.248e-06, eta: 14:21:57, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2861, decode.loss_mask: 0.5396, decode.loss_dice: 0.7858, decode.d0.loss_cls: 1.4100, decode.d0.loss_mask: 0.5791, decode.d0.loss_dice: 0.8858, decode.d1.loss_cls: 0.3910, decode.d1.loss_mask: 0.5563, decode.d1.loss_dice: 0.8309, decode.d2.loss_cls: 0.3256, decode.d2.loss_mask: 0.5454, decode.d2.loss_dice: 0.8085, decode.d3.loss_cls: 0.3141, decode.d3.loss_mask: 0.5391, decode.d3.loss_dice: 0.7925, decode.d4.loss_cls: 0.3007, decode.d4.loss_mask: 0.5397, decode.d4.loss_dice: 0.7925, decode.d5.loss_cls: 0.3014, decode.d5.loss_mask: 0.5361, decode.d5.loss_dice: 0.7853, decode.d6.loss_cls: 0.2942, decode.d6.loss_mask: 0.5358, decode.d6.loss_dice: 0.7842, decode.d7.loss_cls: 0.2953, decode.d7.loss_mask: 0.5356, decode.d7.loss_dice: 0.7862, decode.d8.loss_cls: 0.2953, decode.d8.loss_mask: 0.5368, decode.d8.loss_dice: 0.7879, loss: 17.6968, grad_norm: 73.2547 2023-11-22 08:58:30,329 - mmseg - INFO - Iter [71900/160000] lr: 5.245e-06, eta: 14:21:26, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3014, decode.loss_mask: 0.5121, decode.loss_dice: 0.7726, decode.d0.loss_cls: 1.4313, decode.d0.loss_mask: 0.5449, decode.d0.loss_dice: 0.8731, decode.d1.loss_cls: 0.3960, decode.d1.loss_mask: 0.5337, decode.d1.loss_dice: 0.8157, decode.d2.loss_cls: 0.3401, decode.d2.loss_mask: 0.5213, decode.d2.loss_dice: 0.7879, decode.d3.loss_cls: 0.3199, decode.d3.loss_mask: 0.5157, decode.d3.loss_dice: 0.7751, decode.d4.loss_cls: 0.3074, decode.d4.loss_mask: 0.5161, decode.d4.loss_dice: 0.7753, decode.d5.loss_cls: 0.3068, decode.d5.loss_mask: 0.5139, decode.d5.loss_dice: 0.7766, decode.d6.loss_cls: 0.3044, decode.d6.loss_mask: 0.5125, decode.d6.loss_dice: 0.7681, decode.d7.loss_cls: 0.3054, decode.d7.loss_mask: 0.5117, decode.d7.loss_dice: 0.7704, decode.d8.loss_cls: 0.3050, decode.d8.loss_mask: 0.5117, decode.d8.loss_dice: 0.7692, loss: 17.3954, grad_norm: 70.8584 2023-11-22 08:58:58,930 - mmseg - INFO - Iter [71950/160000] lr: 5.242e-06, eta: 14:20:56, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3011, decode.loss_mask: 0.5371, decode.loss_dice: 0.7946, decode.d0.loss_cls: 1.4283, decode.d0.loss_mask: 0.5727, decode.d0.loss_dice: 0.8906, decode.d1.loss_cls: 0.3865, decode.d1.loss_mask: 0.5627, decode.d1.loss_dice: 0.8410, decode.d2.loss_cls: 0.3436, decode.d2.loss_mask: 0.5476, decode.d2.loss_dice: 0.8109, decode.d3.loss_cls: 0.3260, decode.d3.loss_mask: 0.5411, decode.d3.loss_dice: 0.7963, decode.d4.loss_cls: 0.3192, decode.d4.loss_mask: 0.5403, decode.d4.loss_dice: 0.8020, decode.d5.loss_cls: 0.3132, decode.d5.loss_mask: 0.5366, decode.d5.loss_dice: 0.7980, decode.d6.loss_cls: 0.3076, decode.d6.loss_mask: 0.5388, decode.d6.loss_dice: 0.7960, decode.d7.loss_cls: 0.2993, decode.d7.loss_mask: 0.5392, decode.d7.loss_dice: 0.7940, decode.d8.loss_cls: 0.3009, decode.d8.loss_mask: 0.5399, decode.d8.loss_dice: 0.7980, loss: 17.9031, grad_norm: 71.5322 2023-11-22 08:59:30,137 - mmseg - INFO - Saving checkpoint at 72000 iterations 2023-11-22 08:59:38,474 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 08:59:38,474 - mmseg - INFO - Iter [72000/160000] lr: 5.239e-06, eta: 14:20:39, time: 0.791, data_time: 0.061, memory: 38143, decode.loss_cls: 0.3093, decode.loss_mask: 0.5087, decode.loss_dice: 0.7668, decode.d0.loss_cls: 1.4445, decode.d0.loss_mask: 0.5414, decode.d0.loss_dice: 0.8794, decode.d1.loss_cls: 0.4056, decode.d1.loss_mask: 0.5319, decode.d1.loss_dice: 0.8208, decode.d2.loss_cls: 0.3465, decode.d2.loss_mask: 0.5210, decode.d2.loss_dice: 0.7990, decode.d3.loss_cls: 0.3248, decode.d3.loss_mask: 0.5164, decode.d3.loss_dice: 0.7781, decode.d4.loss_cls: 0.3171, decode.d4.loss_mask: 0.5137, decode.d4.loss_dice: 0.7774, decode.d5.loss_cls: 0.3149, decode.d5.loss_mask: 0.5105, decode.d5.loss_dice: 0.7717, decode.d6.loss_cls: 0.3082, decode.d6.loss_mask: 0.5085, decode.d6.loss_dice: 0.7694, decode.d7.loss_cls: 0.3041, decode.d7.loss_mask: 0.5100, decode.d7.loss_dice: 0.7691, decode.d8.loss_cls: 0.3059, decode.d8.loss_mask: 0.5081, decode.d8.loss_dice: 0.7675, loss: 17.4505, grad_norm: 70.7479 2023-11-22 08:59:57,614 - mmseg - INFO - per class results: 2023-11-22 08:59:57,619 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.69 | 88.28 | | building | 83.64 | 91.18 | | sky | 95.01 | 97.58 | | floor | 84.25 | 90.24 | | tree | 76.48 | 88.13 | | ceiling | 85.64 | 92.88 | | road | 87.31 | 90.77 | | bed | 91.55 | 95.24 | | windowpane | 65.35 | 80.31 | | grass | 65.82 | 76.8 | | cabinet | 63.92 | 75.58 | | sidewalk | 69.84 | 85.05 | | person | 86.66 | 93.96 | | earth | 41.95 | 57.95 | | door | 55.49 | 70.47 | | table | 70.11 | 83.35 | | mountain | 54.81 | 67.79 | | plant | 52.99 | 65.28 | | curtain | 78.06 | 88.1 | | chair | 65.3 | 77.63 | | car | 87.6 | 93.4 | | water | 51.13 | 64.3 | | painting | 71.8 | 92.01 | | sofa | 75.12 | 88.17 | | shelf | 45.96 | 63.08 | | house | 43.01 | 74.71 | | sea | 59.12 | 90.4 | | mirror | 73.56 | 84.29 | | rug | 67.96 | 82.93 | | field | 31.31 | 66.77 | | armchair | 48.36 | 66.26 | | seat | 65.43 | 87.62 | | fence | 54.04 | 71.5 | | desk | 59.79 | 80.4 | | rock | 48.2 | 65.94 | | wardrobe | 47.58 | 63.03 | | lamp | 72.03 | 83.29 | | bathtub | 76.49 | 83.31 | | railing | 42.11 | 66.55 | | cushion | 66.81 | 82.85 | | base | 43.64 | 60.59 | | box | 32.74 | 47.26 | | column | 50.71 | 69.15 | | signboard | 42.8 | 60.8 | | chest of drawers | 41.53 | 71.27 | | counter | 45.81 | 58.22 | | sand | 39.63 | 51.94 | | sink | 79.41 | 89.69 | | skyscraper | 36.69 | 45.28 | | fireplace | 71.99 | 90.95 | | refrigerator | 78.05 | 91.2 | | grandstand | 54.73 | 82.73 | | path | 21.48 | 30.93 | | stairs | 40.54 | 54.51 | | runway | 73.86 | 94.1 | | case | 58.16 | 86.3 | | pool table | 93.88 | 97.17 | | pillow | 60.97 | 75.67 | | screen door | 72.92 | 92.31 | | stairway | 32.43 | 48.95 | | river | 11.3 | 14.12 | | bridge | 81.41 | 89.42 | | bookcase | 36.95 | 54.72 | | blind | 46.77 | 59.33 | | coffee table | 70.43 | 84.91 | | toilet | 89.87 | 92.29 | | flower | 44.98 | 61.89 | | book | 54.51 | 78.18 | | hill | 8.6 | 14.91 | | bench | 67.85 | 77.23 | | countertop | 65.48 | 77.45 | | stove | 84.54 | 88.25 | | palm | 53.37 | 78.66 | | kitchen island | 51.64 | 79.84 | | computer | 71.72 | 79.56 | | swivel chair | 54.19 | 80.85 | | boat | 37.44 | 56.74 | | bar | 59.99 | 70.27 | | arcade machine | 78.45 | 82.93 | | hovel | 42.93 | 49.35 | | bus | 92.07 | 97.56 | | towel | 74.8 | 91.66 | | light | 63.94 | 81.61 | | truck | 44.99 | 58.7 | | tower | 45.14 | 74.94 | | chandelier | 69.36 | 81.37 | | awning | 38.21 | 50.19 | | streetlight | 44.49 | 62.78 | | booth | 51.15 | 62.44 | | television receiver | 72.52 | 88.99 | | airplane | 63.24 | 66.77 | | dirt track | 1.08 | 1.2 | | apparel | 45.41 | 66.24 | | pole | 39.53 | 68.05 | | land | 4.48 | 4.93 | | bannister | 22.5 | 31.66 | | escalator | 32.48 | 37.26 | | ottoman | 56.5 | 75.86 | | bottle | 44.68 | 66.9 | | buffet | 48.83 | 67.27 | | poster | 29.49 | 47.01 | | stage | 21.21 | 47.92 | | van | 46.78 | 73.42 | | ship | 4.74 | 6.64 | | fountain | 21.4 | 21.81 | | conveyer belt | 71.47 | 89.04 | | canopy | 34.57 | 51.83 | | washer | 70.39 | 72.86 | | plaything | 37.05 | 58.98 | | swimming pool | 51.82 | 73.42 | | stool | 57.88 | 79.28 | | barrel | 88.33 | 97.79 | | basket | 42.34 | 62.13 | | waterfall | 59.81 | 94.42 | | tent | 91.57 | 98.1 | | bag | 23.73 | 37.58 | | minibike | 71.32 | 91.25 | | cradle | 87.58 | 97.17 | | oven | 67.2 | 82.44 | | ball | 42.54 | 54.84 | | food | 67.08 | 78.13 | | step | 23.06 | 33.11 | | tank | 44.91 | 47.54 | | trade name | 31.14 | 37.68 | | microwave | 77.52 | 83.15 | | pot | 55.37 | 72.83 | | animal | 63.67 | 64.84 | | bicycle | 54.61 | 85.0 | | lake | 0.06 | 0.09 | | dishwasher | 83.5 | 88.43 | | screen | 51.47 | 91.96 | | blanket | 32.64 | 42.72 | | sculpture | 67.34 | 89.37 | | hood | 72.63 | 77.83 | | sconce | 59.84 | 75.24 | | vase | 55.34 | 75.49 | | traffic light | 47.49 | 70.35 | | tray | 21.82 | 38.7 | | ashcan | 49.11 | 71.24 | | fan | 71.59 | 85.82 | | pier | 13.9 | 14.14 | | crt screen | 1.04 | 2.79 | | plate | 61.12 | 83.98 | | monitor | 2.58 | 3.7 | | bulletin board | 49.69 | 79.23 | | shower | 14.56 | 26.99 | | radiator | 66.07 | 82.37 | | glass | 25.02 | 29.03 | | clock | 46.84 | 65.35 | | flag | 74.69 | 85.44 | +---------------------+-------+-------+ 2023-11-22 08:59:57,619 - mmseg - INFO - Summary: 2023-11-22 08:59:57,619 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.83 | 54.59 | 68.89 | +-------+-------+-------+ 2023-11-22 08:59:57,620 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 08:59:57,621 - mmseg - INFO - Iter(val) [250] aAcc: 0.8483, mIoU: 0.5459, mAcc: 0.6889, IoU.wall: 0.8069, IoU.building: 0.8364, IoU.sky: 0.9501, IoU.floor: 0.8425, IoU.tree: 0.7648, IoU.ceiling: 0.8564, IoU.road: 0.8731, IoU.bed : 0.9155, IoU.windowpane: 0.6535, IoU.grass: 0.6582, IoU.cabinet: 0.6392, IoU.sidewalk: 0.6984, IoU.person: 0.8666, IoU.earth: 0.4195, IoU.door: 0.5549, IoU.table: 0.7011, IoU.mountain: 0.5481, IoU.plant: 0.5299, IoU.curtain: 0.7806, IoU.chair: 0.6530, IoU.car: 0.8760, IoU.water: 0.5113, IoU.painting: 0.7180, IoU.sofa: 0.7512, IoU.shelf: 0.4596, IoU.house: 0.4301, IoU.sea: 0.5912, IoU.mirror: 0.7356, IoU.rug: 0.6796, IoU.field: 0.3131, IoU.armchair: 0.4836, IoU.seat: 0.6543, IoU.fence: 0.5404, IoU.desk: 0.5979, IoU.rock: 0.4820, IoU.wardrobe: 0.4758, IoU.lamp: 0.7203, IoU.bathtub: 0.7649, IoU.railing: 0.4211, IoU.cushion: 0.6681, IoU.base: 0.4364, IoU.box: 0.3274, IoU.column: 0.5071, IoU.signboard: 0.4280, IoU.chest of drawers: 0.4153, IoU.counter: 0.4581, IoU.sand: 0.3963, IoU.sink: 0.7941, IoU.skyscraper: 0.3669, IoU.fireplace: 0.7199, IoU.refrigerator: 0.7805, IoU.grandstand: 0.5473, IoU.path: 0.2148, IoU.stairs: 0.4054, IoU.runway: 0.7386, IoU.case: 0.5816, IoU.pool table: 0.9388, IoU.pillow: 0.6097, IoU.screen door: 0.7292, IoU.stairway: 0.3243, IoU.river: 0.1130, IoU.bridge: 0.8141, IoU.bookcase: 0.3695, IoU.blind: 0.4677, IoU.coffee table: 0.7043, IoU.toilet: 0.8987, IoU.flower: 0.4498, IoU.book: 0.5451, IoU.hill: 0.0860, IoU.bench: 0.6785, IoU.countertop: 0.6548, IoU.stove: 0.8454, IoU.palm: 0.5337, IoU.kitchen island: 0.5164, IoU.computer: 0.7172, IoU.swivel chair: 0.5419, IoU.boat: 0.3744, IoU.bar: 0.5999, IoU.arcade machine: 0.7845, IoU.hovel: 0.4293, IoU.bus: 0.9207, IoU.towel: 0.7480, IoU.light: 0.6394, IoU.truck: 0.4499, IoU.tower: 0.4514, IoU.chandelier: 0.6936, IoU.awning: 0.3821, IoU.streetlight: 0.4449, IoU.booth: 0.5115, IoU.television receiver: 0.7252, IoU.airplane: 0.6324, IoU.dirt track: 0.0108, IoU.apparel: 0.4541, IoU.pole: 0.3953, IoU.land: 0.0448, IoU.bannister: 0.2250, IoU.escalator: 0.3248, IoU.ottoman: 0.5650, IoU.bottle: 0.4468, IoU.buffet: 0.4883, IoU.poster: 0.2949, IoU.stage: 0.2121, IoU.van: 0.4678, IoU.ship: 0.0474, IoU.fountain: 0.2140, IoU.conveyer belt: 0.7147, IoU.canopy: 0.3457, IoU.washer: 0.7039, IoU.plaything: 0.3705, IoU.swimming pool: 0.5182, IoU.stool: 0.5788, IoU.barrel: 0.8833, IoU.basket: 0.4234, IoU.waterfall: 0.5981, IoU.tent: 0.9157, IoU.bag: 0.2373, IoU.minibike: 0.7132, IoU.cradle: 0.8758, IoU.oven: 0.6720, IoU.ball: 0.4254, IoU.food: 0.6708, IoU.step: 0.2306, IoU.tank: 0.4491, IoU.trade name: 0.3114, IoU.microwave: 0.7752, IoU.pot: 0.5537, IoU.animal: 0.6367, IoU.bicycle: 0.5461, IoU.lake: 0.0006, IoU.dishwasher: 0.8350, IoU.screen: 0.5147, IoU.blanket: 0.3264, IoU.sculpture: 0.6734, IoU.hood: 0.7263, IoU.sconce: 0.5984, IoU.vase: 0.5534, IoU.traffic light: 0.4749, IoU.tray: 0.2182, IoU.ashcan: 0.4911, IoU.fan: 0.7159, IoU.pier: 0.1390, IoU.crt screen: 0.0104, IoU.plate: 0.6112, IoU.monitor: 0.0258, IoU.bulletin board: 0.4969, IoU.shower: 0.1456, IoU.radiator: 0.6607, IoU.glass: 0.2502, IoU.clock: 0.4684, IoU.flag: 0.7469, Acc.wall: 0.8828, Acc.building: 0.9118, Acc.sky: 0.9758, Acc.floor: 0.9024, Acc.tree: 0.8813, Acc.ceiling: 0.9288, Acc.road: 0.9077, Acc.bed : 0.9524, Acc.windowpane: 0.8031, Acc.grass: 0.7680, Acc.cabinet: 0.7558, Acc.sidewalk: 0.8505, Acc.person: 0.9396, Acc.earth: 0.5795, Acc.door: 0.7047, Acc.table: 0.8335, Acc.mountain: 0.6779, Acc.plant: 0.6528, Acc.curtain: 0.8810, Acc.chair: 0.7763, Acc.car: 0.9340, Acc.water: 0.6430, Acc.painting: 0.9201, Acc.sofa: 0.8817, Acc.shelf: 0.6308, Acc.house: 0.7471, Acc.sea: 0.9040, Acc.mirror: 0.8429, Acc.rug: 0.8293, Acc.field: 0.6677, Acc.armchair: 0.6626, Acc.seat: 0.8762, Acc.fence: 0.7150, Acc.desk: 0.8040, Acc.rock: 0.6594, Acc.wardrobe: 0.6303, Acc.lamp: 0.8329, Acc.bathtub: 0.8331, Acc.railing: 0.6655, Acc.cushion: 0.8285, Acc.base: 0.6059, Acc.box: 0.4726, Acc.column: 0.6915, Acc.signboard: 0.6080, Acc.chest of drawers: 0.7127, Acc.counter: 0.5822, Acc.sand: 0.5194, Acc.sink: 0.8969, Acc.skyscraper: 0.4528, Acc.fireplace: 0.9095, Acc.refrigerator: 0.9120, Acc.grandstand: 0.8273, Acc.path: 0.3093, Acc.stairs: 0.5451, Acc.runway: 0.9410, Acc.case: 0.8630, Acc.pool table: 0.9717, Acc.pillow: 0.7567, Acc.screen door: 0.9231, Acc.stairway: 0.4895, Acc.river: 0.1412, Acc.bridge: 0.8942, Acc.bookcase: 0.5472, Acc.blind: 0.5933, Acc.coffee table: 0.8491, Acc.toilet: 0.9229, Acc.flower: 0.6189, Acc.book: 0.7818, Acc.hill: 0.1491, Acc.bench: 0.7723, Acc.countertop: 0.7745, Acc.stove: 0.8825, Acc.palm: 0.7866, Acc.kitchen island: 0.7984, Acc.computer: 0.7956, Acc.swivel chair: 0.8085, Acc.boat: 0.5674, Acc.bar: 0.7027, Acc.arcade machine: 0.8293, Acc.hovel: 0.4935, Acc.bus: 0.9756, Acc.towel: 0.9166, Acc.light: 0.8161, Acc.truck: 0.5870, Acc.tower: 0.7494, Acc.chandelier: 0.8137, Acc.awning: 0.5019, Acc.streetlight: 0.6278, Acc.booth: 0.6244, Acc.television receiver: 0.8899, Acc.airplane: 0.6677, Acc.dirt track: 0.0120, Acc.apparel: 0.6624, Acc.pole: 0.6805, Acc.land: 0.0493, Acc.bannister: 0.3166, Acc.escalator: 0.3726, Acc.ottoman: 0.7586, Acc.bottle: 0.6690, Acc.buffet: 0.6727, Acc.poster: 0.4701, Acc.stage: 0.4792, Acc.van: 0.7342, Acc.ship: 0.0664, Acc.fountain: 0.2181, Acc.conveyer belt: 0.8904, Acc.canopy: 0.5183, Acc.washer: 0.7286, Acc.plaything: 0.5898, Acc.swimming pool: 0.7342, Acc.stool: 0.7928, Acc.barrel: 0.9779, Acc.basket: 0.6213, Acc.waterfall: 0.9442, Acc.tent: 0.9810, Acc.bag: 0.3758, Acc.minibike: 0.9125, Acc.cradle: 0.9717, Acc.oven: 0.8244, Acc.ball: 0.5484, Acc.food: 0.7813, Acc.step: 0.3311, Acc.tank: 0.4754, Acc.trade name: 0.3768, Acc.microwave: 0.8315, Acc.pot: 0.7283, Acc.animal: 0.6484, Acc.bicycle: 0.8500, Acc.lake: 0.0009, Acc.dishwasher: 0.8843, Acc.screen: 0.9196, Acc.blanket: 0.4272, Acc.sculpture: 0.8937, Acc.hood: 0.7783, Acc.sconce: 0.7524, Acc.vase: 0.7549, Acc.traffic light: 0.7035, Acc.tray: 0.3870, Acc.ashcan: 0.7124, Acc.fan: 0.8582, Acc.pier: 0.1414, Acc.crt screen: 0.0279, Acc.plate: 0.8398, Acc.monitor: 0.0370, Acc.bulletin board: 0.7923, Acc.shower: 0.2699, Acc.radiator: 0.8237, Acc.glass: 0.2903, Acc.clock: 0.6535, Acc.flag: 0.8544 2023-11-22 09:00:25,946 - mmseg - INFO - Iter [72050/160000] lr: 5.236e-06, eta: 14:20:32, time: 0.949, data_time: 0.397, memory: 38143, decode.loss_cls: 0.2862, decode.loss_mask: 0.4987, decode.loss_dice: 0.7445, decode.d0.loss_cls: 1.4018, decode.d0.loss_mask: 0.5364, decode.d0.loss_dice: 0.8532, decode.d1.loss_cls: 0.3864, decode.d1.loss_mask: 0.5207, decode.d1.loss_dice: 0.7848, decode.d2.loss_cls: 0.3297, decode.d2.loss_mask: 0.5093, decode.d2.loss_dice: 0.7671, decode.d3.loss_cls: 0.3065, decode.d3.loss_mask: 0.4996, decode.d3.loss_dice: 0.7498, decode.d4.loss_cls: 0.3027, decode.d4.loss_mask: 0.4995, decode.d4.loss_dice: 0.7485, decode.d5.loss_cls: 0.2962, decode.d5.loss_mask: 0.4996, decode.d5.loss_dice: 0.7474, decode.d6.loss_cls: 0.2950, decode.d6.loss_mask: 0.4992, decode.d6.loss_dice: 0.7456, decode.d7.loss_cls: 0.2860, decode.d7.loss_mask: 0.4992, decode.d7.loss_dice: 0.7476, decode.d8.loss_cls: 0.2855, decode.d8.loss_mask: 0.5001, decode.d8.loss_dice: 0.7454, loss: 16.8721, grad_norm: 66.0669 2023-11-22 09:00:54,462 - mmseg - INFO - Iter [72100/160000] lr: 5.233e-06, eta: 14:20:02, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2855, decode.loss_mask: 0.5031, decode.loss_dice: 0.7465, decode.d0.loss_cls: 1.4367, decode.d0.loss_mask: 0.5342, decode.d0.loss_dice: 0.8518, decode.d1.loss_cls: 0.3789, decode.d1.loss_mask: 0.5231, decode.d1.loss_dice: 0.7877, decode.d2.loss_cls: 0.3174, decode.d2.loss_mask: 0.5171, decode.d2.loss_dice: 0.7724, decode.d3.loss_cls: 0.3102, decode.d3.loss_mask: 0.5106, decode.d3.loss_dice: 0.7493, decode.d4.loss_cls: 0.3025, decode.d4.loss_mask: 0.5061, decode.d4.loss_dice: 0.7510, decode.d5.loss_cls: 0.2950, decode.d5.loss_mask: 0.5046, decode.d5.loss_dice: 0.7514, decode.d6.loss_cls: 0.2871, decode.d6.loss_mask: 0.5030, decode.d6.loss_dice: 0.7465, decode.d7.loss_cls: 0.2887, decode.d7.loss_mask: 0.5019, decode.d7.loss_dice: 0.7472, decode.d8.loss_cls: 0.2847, decode.d8.loss_mask: 0.5025, decode.d8.loss_dice: 0.7455, loss: 16.9423, grad_norm: 68.6015 2023-11-22 09:01:22,871 - mmseg - INFO - Iter [72150/160000] lr: 5.230e-06, eta: 14:19:31, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3123, decode.loss_mask: 0.5155, decode.loss_dice: 0.7746, decode.d0.loss_cls: 1.4589, decode.d0.loss_mask: 0.5524, decode.d0.loss_dice: 0.8721, decode.d1.loss_cls: 0.3993, decode.d1.loss_mask: 0.5327, decode.d1.loss_dice: 0.8124, decode.d2.loss_cls: 0.3443, decode.d2.loss_mask: 0.5250, decode.d2.loss_dice: 0.7981, decode.d3.loss_cls: 0.3245, decode.d3.loss_mask: 0.5194, decode.d3.loss_dice: 0.7788, decode.d4.loss_cls: 0.3086, decode.d4.loss_mask: 0.5194, decode.d4.loss_dice: 0.7842, decode.d5.loss_cls: 0.3046, decode.d5.loss_mask: 0.5202, decode.d5.loss_dice: 0.7833, decode.d6.loss_cls: 0.3095, decode.d6.loss_mask: 0.5167, decode.d6.loss_dice: 0.7691, decode.d7.loss_cls: 0.3084, decode.d7.loss_mask: 0.5160, decode.d7.loss_dice: 0.7714, decode.d8.loss_cls: 0.3032, decode.d8.loss_mask: 0.5177, decode.d8.loss_dice: 0.7764, loss: 17.5289, grad_norm: 68.6834 2023-11-22 09:01:51,260 - mmseg - INFO - Iter [72200/160000] lr: 5.227e-06, eta: 14:19:01, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2840, decode.loss_mask: 0.5190, decode.loss_dice: 0.7864, decode.d0.loss_cls: 1.4257, decode.d0.loss_mask: 0.5537, decode.d0.loss_dice: 0.8855, decode.d1.loss_cls: 0.3777, decode.d1.loss_mask: 0.5391, decode.d1.loss_dice: 0.8353, decode.d2.loss_cls: 0.3246, decode.d2.loss_mask: 0.5269, decode.d2.loss_dice: 0.8154, decode.d3.loss_cls: 0.2990, decode.d3.loss_mask: 0.5232, decode.d3.loss_dice: 0.7939, decode.d4.loss_cls: 0.2859, decode.d4.loss_mask: 0.5213, decode.d4.loss_dice: 0.7954, decode.d5.loss_cls: 0.2842, decode.d5.loss_mask: 0.5203, decode.d5.loss_dice: 0.7984, decode.d6.loss_cls: 0.2859, decode.d6.loss_mask: 0.5188, decode.d6.loss_dice: 0.7877, decode.d7.loss_cls: 0.2844, decode.d7.loss_mask: 0.5193, decode.d7.loss_dice: 0.7871, decode.d8.loss_cls: 0.2851, decode.d8.loss_mask: 0.5194, decode.d8.loss_dice: 0.7867, loss: 17.4696, grad_norm: 65.6151 2023-11-22 09:02:19,627 - mmseg - INFO - Iter [72250/160000] lr: 5.224e-06, eta: 14:18:30, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2736, decode.loss_mask: 0.5044, decode.loss_dice: 0.7417, decode.d0.loss_cls: 1.4104, decode.d0.loss_mask: 0.5424, decode.d0.loss_dice: 0.8490, decode.d1.loss_cls: 0.3622, decode.d1.loss_mask: 0.5286, decode.d1.loss_dice: 0.7952, decode.d2.loss_cls: 0.3144, decode.d2.loss_mask: 0.5194, decode.d2.loss_dice: 0.7675, decode.d3.loss_cls: 0.2907, decode.d3.loss_mask: 0.5120, decode.d3.loss_dice: 0.7453, decode.d4.loss_cls: 0.2823, decode.d4.loss_mask: 0.5114, decode.d4.loss_dice: 0.7459, decode.d5.loss_cls: 0.2812, decode.d5.loss_mask: 0.5086, decode.d5.loss_dice: 0.7447, decode.d6.loss_cls: 0.2780, decode.d6.loss_mask: 0.5076, decode.d6.loss_dice: 0.7380, decode.d7.loss_cls: 0.2744, decode.d7.loss_mask: 0.5088, decode.d7.loss_dice: 0.7417, decode.d8.loss_cls: 0.2706, decode.d8.loss_mask: 0.5088, decode.d8.loss_dice: 0.7425, loss: 16.8011, grad_norm: 68.7512 2023-11-22 09:02:48,271 - mmseg - INFO - Iter [72300/160000] lr: 5.221e-06, eta: 14:18:00, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2699, decode.loss_mask: 0.5168, decode.loss_dice: 0.7640, decode.d0.loss_cls: 1.4011, decode.d0.loss_mask: 0.5565, decode.d0.loss_dice: 0.8696, decode.d1.loss_cls: 0.3589, decode.d1.loss_mask: 0.5415, decode.d1.loss_dice: 0.8174, decode.d2.loss_cls: 0.3102, decode.d2.loss_mask: 0.5272, decode.d2.loss_dice: 0.7910, decode.d3.loss_cls: 0.2902, decode.d3.loss_mask: 0.5217, decode.d3.loss_dice: 0.7775, decode.d4.loss_cls: 0.2856, decode.d4.loss_mask: 0.5198, decode.d4.loss_dice: 0.7777, decode.d5.loss_cls: 0.2798, decode.d5.loss_mask: 0.5184, decode.d5.loss_dice: 0.7706, decode.d6.loss_cls: 0.2732, decode.d6.loss_mask: 0.5194, decode.d6.loss_dice: 0.7641, decode.d7.loss_cls: 0.2688, decode.d7.loss_mask: 0.5173, decode.d7.loss_dice: 0.7672, decode.d8.loss_cls: 0.2701, decode.d8.loss_mask: 0.5170, decode.d8.loss_dice: 0.7690, loss: 17.1314, grad_norm: 71.4734 2023-11-22 09:03:16,474 - mmseg - INFO - Iter [72350/160000] lr: 5.218e-06, eta: 14:17:29, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2828, decode.loss_mask: 0.5393, decode.loss_dice: 0.7764, decode.d0.loss_cls: 1.3740, decode.d0.loss_mask: 0.5749, decode.d0.loss_dice: 0.8669, decode.d1.loss_cls: 0.3657, decode.d1.loss_mask: 0.5594, decode.d1.loss_dice: 0.8141, decode.d2.loss_cls: 0.3180, decode.d2.loss_mask: 0.5485, decode.d2.loss_dice: 0.7991, decode.d3.loss_cls: 0.3050, decode.d3.loss_mask: 0.5460, decode.d3.loss_dice: 0.7775, decode.d4.loss_cls: 0.2954, decode.d4.loss_mask: 0.5432, decode.d4.loss_dice: 0.7761, decode.d5.loss_cls: 0.2952, decode.d5.loss_mask: 0.5420, decode.d5.loss_dice: 0.7781, decode.d6.loss_cls: 0.2873, decode.d6.loss_mask: 0.5421, decode.d6.loss_dice: 0.7696, decode.d7.loss_cls: 0.2847, decode.d7.loss_mask: 0.5423, decode.d7.loss_dice: 0.7706, decode.d8.loss_cls: 0.2844, decode.d8.loss_mask: 0.5413, decode.d8.loss_dice: 0.7754, loss: 17.4755, grad_norm: 68.6190 2023-11-22 09:03:44,868 - mmseg - INFO - Iter [72400/160000] lr: 5.215e-06, eta: 14:16:59, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3046, decode.loss_mask: 0.5255, decode.loss_dice: 0.7664, decode.d0.loss_cls: 1.4384, decode.d0.loss_mask: 0.5612, decode.d0.loss_dice: 0.8717, decode.d1.loss_cls: 0.4042, decode.d1.loss_mask: 0.5441, decode.d1.loss_dice: 0.8226, decode.d2.loss_cls: 0.3454, decode.d2.loss_mask: 0.5336, decode.d2.loss_dice: 0.7950, decode.d3.loss_cls: 0.3298, decode.d3.loss_mask: 0.5274, decode.d3.loss_dice: 0.7737, decode.d4.loss_cls: 0.3231, decode.d4.loss_mask: 0.5255, decode.d4.loss_dice: 0.7768, decode.d5.loss_cls: 0.3142, decode.d5.loss_mask: 0.5276, decode.d5.loss_dice: 0.7805, decode.d6.loss_cls: 0.3127, decode.d6.loss_mask: 0.5236, decode.d6.loss_dice: 0.7706, decode.d7.loss_cls: 0.3051, decode.d7.loss_mask: 0.5247, decode.d7.loss_dice: 0.7693, decode.d8.loss_cls: 0.3088, decode.d8.loss_mask: 0.5264, decode.d8.loss_dice: 0.7698, loss: 17.6021, grad_norm: 72.7385 2023-11-22 09:04:13,281 - mmseg - INFO - Iter [72450/160000] lr: 5.212e-06, eta: 14:16:28, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3042, decode.loss_mask: 0.5470, decode.loss_dice: 0.7935, decode.d0.loss_cls: 1.4157, decode.d0.loss_mask: 0.5872, decode.d0.loss_dice: 0.8900, decode.d1.loss_cls: 0.4016, decode.d1.loss_mask: 0.5659, decode.d1.loss_dice: 0.8363, decode.d2.loss_cls: 0.3467, decode.d2.loss_mask: 0.5584, decode.d2.loss_dice: 0.8176, decode.d3.loss_cls: 0.3227, decode.d3.loss_mask: 0.5491, decode.d3.loss_dice: 0.8018, decode.d4.loss_cls: 0.3112, decode.d4.loss_mask: 0.5523, decode.d4.loss_dice: 0.7969, decode.d5.loss_cls: 0.3111, decode.d5.loss_mask: 0.5482, decode.d5.loss_dice: 0.7992, decode.d6.loss_cls: 0.3122, decode.d6.loss_mask: 0.5499, decode.d6.loss_dice: 0.7951, decode.d7.loss_cls: 0.3085, decode.d7.loss_mask: 0.5489, decode.d7.loss_dice: 0.7967, decode.d8.loss_cls: 0.3024, decode.d8.loss_mask: 0.5515, decode.d8.loss_dice: 0.7931, loss: 18.0146, grad_norm: 71.8053 2023-11-22 09:04:41,880 - mmseg - INFO - Iter [72500/160000] lr: 5.209e-06, eta: 14:15:58, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3032, decode.loss_mask: 0.5554, decode.loss_dice: 0.8005, decode.d0.loss_cls: 1.4443, decode.d0.loss_mask: 0.5891, decode.d0.loss_dice: 0.9018, decode.d1.loss_cls: 0.3951, decode.d1.loss_mask: 0.5741, decode.d1.loss_dice: 0.8481, decode.d2.loss_cls: 0.3472, decode.d2.loss_mask: 0.5609, decode.d2.loss_dice: 0.8182, decode.d3.loss_cls: 0.3235, decode.d3.loss_mask: 0.5581, decode.d3.loss_dice: 0.8027, decode.d4.loss_cls: 0.3142, decode.d4.loss_mask: 0.5564, decode.d4.loss_dice: 0.8029, decode.d5.loss_cls: 0.3078, decode.d5.loss_mask: 0.5553, decode.d5.loss_dice: 0.8037, decode.d6.loss_cls: 0.3126, decode.d6.loss_mask: 0.5580, decode.d6.loss_dice: 0.7953, decode.d7.loss_cls: 0.3060, decode.d7.loss_mask: 0.5551, decode.d7.loss_dice: 0.7985, decode.d8.loss_cls: 0.3016, decode.d8.loss_mask: 0.5555, decode.d8.loss_dice: 0.7995, loss: 18.1448, grad_norm: 73.0590 2023-11-22 09:05:10,284 - mmseg - INFO - Iter [72550/160000] lr: 5.206e-06, eta: 14:15:28, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3024, decode.loss_mask: 0.5078, decode.loss_dice: 0.7759, decode.d0.loss_cls: 1.4012, decode.d0.loss_mask: 0.5418, decode.d0.loss_dice: 0.8710, decode.d1.loss_cls: 0.3936, decode.d1.loss_mask: 0.5297, decode.d1.loss_dice: 0.8145, decode.d2.loss_cls: 0.3405, decode.d2.loss_mask: 0.5171, decode.d2.loss_dice: 0.7970, decode.d3.loss_cls: 0.3242, decode.d3.loss_mask: 0.5120, decode.d3.loss_dice: 0.7820, decode.d4.loss_cls: 0.3166, decode.d4.loss_mask: 0.5085, decode.d4.loss_dice: 0.7777, decode.d5.loss_cls: 0.3105, decode.d5.loss_mask: 0.5090, decode.d5.loss_dice: 0.7790, decode.d6.loss_cls: 0.3084, decode.d6.loss_mask: 0.5094, decode.d6.loss_dice: 0.7718, decode.d7.loss_cls: 0.3068, decode.d7.loss_mask: 0.5091, decode.d7.loss_dice: 0.7741, decode.d8.loss_cls: 0.3036, decode.d8.loss_mask: 0.5069, decode.d8.loss_dice: 0.7723, loss: 17.3744, grad_norm: 67.8388 2023-11-22 09:05:39,073 - mmseg - INFO - Iter [72600/160000] lr: 5.203e-06, eta: 14:14:58, time: 0.576, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3074, decode.loss_mask: 0.5178, decode.loss_dice: 0.7682, decode.d0.loss_cls: 1.4344, decode.d0.loss_mask: 0.5524, decode.d0.loss_dice: 0.8710, decode.d1.loss_cls: 0.3982, decode.d1.loss_mask: 0.5376, decode.d1.loss_dice: 0.8223, decode.d2.loss_cls: 0.3480, decode.d2.loss_mask: 0.5231, decode.d2.loss_dice: 0.7914, decode.d3.loss_cls: 0.3234, decode.d3.loss_mask: 0.5201, decode.d3.loss_dice: 0.7734, decode.d4.loss_cls: 0.3179, decode.d4.loss_mask: 0.5205, decode.d4.loss_dice: 0.7779, decode.d5.loss_cls: 0.3089, decode.d5.loss_mask: 0.5218, decode.d5.loss_dice: 0.7796, decode.d6.loss_cls: 0.3101, decode.d6.loss_mask: 0.5186, decode.d6.loss_dice: 0.7689, decode.d7.loss_cls: 0.3092, decode.d7.loss_mask: 0.5180, decode.d7.loss_dice: 0.7647, decode.d8.loss_cls: 0.3078, decode.d8.loss_mask: 0.5169, decode.d8.loss_dice: 0.7674, loss: 17.4970, grad_norm: 69.3970 2023-11-22 09:06:07,505 - mmseg - INFO - Iter [72650/160000] lr: 5.200e-06, eta: 14:14:27, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2968, decode.loss_mask: 0.5019, decode.loss_dice: 0.7555, decode.d0.loss_cls: 1.4320, decode.d0.loss_mask: 0.5428, decode.d0.loss_dice: 0.8637, decode.d1.loss_cls: 0.3908, decode.d1.loss_mask: 0.5241, decode.d1.loss_dice: 0.8041, decode.d2.loss_cls: 0.3353, decode.d2.loss_mask: 0.5083, decode.d2.loss_dice: 0.7815, decode.d3.loss_cls: 0.3178, decode.d3.loss_mask: 0.5055, decode.d3.loss_dice: 0.7658, decode.d4.loss_cls: 0.3098, decode.d4.loss_mask: 0.5027, decode.d4.loss_dice: 0.7652, decode.d5.loss_cls: 0.3026, decode.d5.loss_mask: 0.5036, decode.d5.loss_dice: 0.7599, decode.d6.loss_cls: 0.2993, decode.d6.loss_mask: 0.5024, decode.d6.loss_dice: 0.7565, decode.d7.loss_cls: 0.2992, decode.d7.loss_mask: 0.5005, decode.d7.loss_dice: 0.7591, decode.d8.loss_cls: 0.2997, decode.d8.loss_mask: 0.5007, decode.d8.loss_dice: 0.7610, loss: 17.1480, grad_norm: 67.9068 2023-11-22 09:06:35,962 - mmseg - INFO - Iter [72700/160000] lr: 5.197e-06, eta: 14:13:57, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2916, decode.loss_mask: 0.5233, decode.loss_dice: 0.7811, decode.d0.loss_cls: 1.3994, decode.d0.loss_mask: 0.5610, decode.d0.loss_dice: 0.8676, decode.d1.loss_cls: 0.3738, decode.d1.loss_mask: 0.5408, decode.d1.loss_dice: 0.8231, decode.d2.loss_cls: 0.3233, decode.d2.loss_mask: 0.5293, decode.d2.loss_dice: 0.7988, decode.d3.loss_cls: 0.3128, decode.d3.loss_mask: 0.5263, decode.d3.loss_dice: 0.7805, decode.d4.loss_cls: 0.3067, decode.d4.loss_mask: 0.5251, decode.d4.loss_dice: 0.7845, decode.d5.loss_cls: 0.2965, decode.d5.loss_mask: 0.5286, decode.d5.loss_dice: 0.7841, decode.d6.loss_cls: 0.2972, decode.d6.loss_mask: 0.5240, decode.d6.loss_dice: 0.7795, decode.d7.loss_cls: 0.2935, decode.d7.loss_mask: 0.5227, decode.d7.loss_dice: 0.7795, decode.d8.loss_cls: 0.2949, decode.d8.loss_mask: 0.5236, decode.d8.loss_dice: 0.7824, loss: 17.4553, grad_norm: 74.3410 2023-11-22 09:07:04,411 - mmseg - INFO - Iter [72750/160000] lr: 5.194e-06, eta: 14:13:26, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2820, decode.loss_mask: 0.5433, decode.loss_dice: 0.7814, decode.d0.loss_cls: 1.3793, decode.d0.loss_mask: 0.5842, decode.d0.loss_dice: 0.8747, decode.d1.loss_cls: 0.3859, decode.d1.loss_mask: 0.5631, decode.d1.loss_dice: 0.8273, decode.d2.loss_cls: 0.3250, decode.d2.loss_mask: 0.5538, decode.d2.loss_dice: 0.8033, decode.d3.loss_cls: 0.3016, decode.d3.loss_mask: 0.5448, decode.d3.loss_dice: 0.7891, decode.d4.loss_cls: 0.2926, decode.d4.loss_mask: 0.5463, decode.d4.loss_dice: 0.7902, decode.d5.loss_cls: 0.2919, decode.d5.loss_mask: 0.5453, decode.d5.loss_dice: 0.7847, decode.d6.loss_cls: 0.2887, decode.d6.loss_mask: 0.5422, decode.d6.loss_dice: 0.7791, decode.d7.loss_cls: 0.2848, decode.d7.loss_mask: 0.5444, decode.d7.loss_dice: 0.7793, decode.d8.loss_cls: 0.2826, decode.d8.loss_mask: 0.5449, decode.d8.loss_dice: 0.7791, loss: 17.6149, grad_norm: 71.1315 2023-11-22 09:07:33,049 - mmseg - INFO - Iter [72800/160000] lr: 5.191e-06, eta: 14:12:56, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2823, decode.loss_mask: 0.5258, decode.loss_dice: 0.7776, decode.d0.loss_cls: 1.4268, decode.d0.loss_mask: 0.5638, decode.d0.loss_dice: 0.8813, decode.d1.loss_cls: 0.3655, decode.d1.loss_mask: 0.5493, decode.d1.loss_dice: 0.8276, decode.d2.loss_cls: 0.3139, decode.d2.loss_mask: 0.5409, decode.d2.loss_dice: 0.8036, decode.d3.loss_cls: 0.3033, decode.d3.loss_mask: 0.5302, decode.d3.loss_dice: 0.7841, decode.d4.loss_cls: 0.2946, decode.d4.loss_mask: 0.5296, decode.d4.loss_dice: 0.7843, decode.d5.loss_cls: 0.2916, decode.d5.loss_mask: 0.5280, decode.d5.loss_dice: 0.7803, decode.d6.loss_cls: 0.2863, decode.d6.loss_mask: 0.5283, decode.d6.loss_dice: 0.7722, decode.d7.loss_cls: 0.2811, decode.d7.loss_mask: 0.5276, decode.d7.loss_dice: 0.7786, decode.d8.loss_cls: 0.2815, decode.d8.loss_mask: 0.5292, decode.d8.loss_dice: 0.7778, loss: 17.4471, grad_norm: 74.6877 2023-11-22 09:08:01,475 - mmseg - INFO - Iter [72850/160000] lr: 5.188e-06, eta: 14:12:26, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2747, decode.loss_mask: 0.5394, decode.loss_dice: 0.7817, decode.d0.loss_cls: 1.4083, decode.d0.loss_mask: 0.5763, decode.d0.loss_dice: 0.8710, decode.d1.loss_cls: 0.3633, decode.d1.loss_mask: 0.5635, decode.d1.loss_dice: 0.8235, decode.d2.loss_cls: 0.3189, decode.d2.loss_mask: 0.5478, decode.d2.loss_dice: 0.7985, decode.d3.loss_cls: 0.2922, decode.d3.loss_mask: 0.5432, decode.d3.loss_dice: 0.7857, decode.d4.loss_cls: 0.2896, decode.d4.loss_mask: 0.5390, decode.d4.loss_dice: 0.7878, decode.d5.loss_cls: 0.2819, decode.d5.loss_mask: 0.5398, decode.d5.loss_dice: 0.7828, decode.d6.loss_cls: 0.2810, decode.d6.loss_mask: 0.5394, decode.d6.loss_dice: 0.7799, decode.d7.loss_cls: 0.2756, decode.d7.loss_mask: 0.5406, decode.d7.loss_dice: 0.7843, decode.d8.loss_cls: 0.2712, decode.d8.loss_mask: 0.5409, decode.d8.loss_dice: 0.7825, loss: 17.5041, grad_norm: 72.7250 2023-11-22 09:08:30,247 - mmseg - INFO - Iter [72900/160000] lr: 5.185e-06, eta: 14:11:56, time: 0.575, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2912, decode.loss_mask: 0.5074, decode.loss_dice: 0.7785, decode.d0.loss_cls: 1.4459, decode.d0.loss_mask: 0.5431, decode.d0.loss_dice: 0.8814, decode.d1.loss_cls: 0.3721, decode.d1.loss_mask: 0.5292, decode.d1.loss_dice: 0.8319, decode.d2.loss_cls: 0.3263, decode.d2.loss_mask: 0.5170, decode.d2.loss_dice: 0.8041, decode.d3.loss_cls: 0.3083, decode.d3.loss_mask: 0.5132, decode.d3.loss_dice: 0.7850, decode.d4.loss_cls: 0.3019, decode.d4.loss_mask: 0.5105, decode.d4.loss_dice: 0.7921, decode.d5.loss_cls: 0.2935, decode.d5.loss_mask: 0.5090, decode.d5.loss_dice: 0.7891, decode.d6.loss_cls: 0.2903, decode.d6.loss_mask: 0.5071, decode.d6.loss_dice: 0.7849, decode.d7.loss_cls: 0.2918, decode.d7.loss_mask: 0.5058, decode.d7.loss_dice: 0.7771, decode.d8.loss_cls: 0.2917, decode.d8.loss_mask: 0.5061, decode.d8.loss_dice: 0.7820, loss: 17.3676, grad_norm: 68.6475 2023-11-22 09:08:58,605 - mmseg - INFO - Iter [72950/160000] lr: 5.182e-06, eta: 14:11:25, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3061, decode.loss_mask: 0.5351, decode.loss_dice: 0.7793, decode.d0.loss_cls: 1.3946, decode.d0.loss_mask: 0.5768, decode.d0.loss_dice: 0.8893, decode.d1.loss_cls: 0.3870, decode.d1.loss_mask: 0.5599, decode.d1.loss_dice: 0.8298, decode.d2.loss_cls: 0.3363, decode.d2.loss_mask: 0.5478, decode.d2.loss_dice: 0.8067, decode.d3.loss_cls: 0.3221, decode.d3.loss_mask: 0.5444, decode.d3.loss_dice: 0.7875, decode.d4.loss_cls: 0.3130, decode.d4.loss_mask: 0.5425, decode.d4.loss_dice: 0.7878, decode.d5.loss_cls: 0.3110, decode.d5.loss_mask: 0.5405, decode.d5.loss_dice: 0.7859, decode.d6.loss_cls: 0.3048, decode.d6.loss_mask: 0.5390, decode.d6.loss_dice: 0.7831, decode.d7.loss_cls: 0.3032, decode.d7.loss_mask: 0.5380, decode.d7.loss_dice: 0.7817, decode.d8.loss_cls: 0.3023, decode.d8.loss_mask: 0.5370, decode.d8.loss_dice: 0.7815, loss: 17.7543, grad_norm: 73.4899 2023-11-22 09:09:27,016 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 09:09:27,016 - mmseg - INFO - Iter [73000/160000] lr: 5.179e-06, eta: 14:10:55, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3138, decode.loss_mask: 0.5377, decode.loss_dice: 0.7764, decode.d0.loss_cls: 1.4347, decode.d0.loss_mask: 0.5785, decode.d0.loss_dice: 0.8844, decode.d1.loss_cls: 0.4105, decode.d1.loss_mask: 0.5615, decode.d1.loss_dice: 0.8283, decode.d2.loss_cls: 0.3560, decode.d2.loss_mask: 0.5478, decode.d2.loss_dice: 0.8060, decode.d3.loss_cls: 0.3312, decode.d3.loss_mask: 0.5402, decode.d3.loss_dice: 0.7837, decode.d4.loss_cls: 0.3272, decode.d4.loss_mask: 0.5389, decode.d4.loss_dice: 0.7806, decode.d5.loss_cls: 0.3177, decode.d5.loss_mask: 0.5405, decode.d5.loss_dice: 0.7823, decode.d6.loss_cls: 0.3193, decode.d6.loss_mask: 0.5365, decode.d6.loss_dice: 0.7763, decode.d7.loss_cls: 0.3163, decode.d7.loss_mask: 0.5369, decode.d7.loss_dice: 0.7703, decode.d8.loss_cls: 0.3160, decode.d8.loss_mask: 0.5372, decode.d8.loss_dice: 0.7801, loss: 17.8670, grad_norm: 71.6053 2023-11-22 09:09:55,375 - mmseg - INFO - Iter [73050/160000] lr: 5.176e-06, eta: 14:10:24, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3181, decode.loss_mask: 0.5062, decode.loss_dice: 0.7608, decode.d0.loss_cls: 1.4476, decode.d0.loss_mask: 0.5360, decode.d0.loss_dice: 0.8631, decode.d1.loss_cls: 0.3983, decode.d1.loss_mask: 0.5221, decode.d1.loss_dice: 0.8070, decode.d2.loss_cls: 0.3498, decode.d2.loss_mask: 0.5156, decode.d2.loss_dice: 0.7897, decode.d3.loss_cls: 0.3389, decode.d3.loss_mask: 0.5071, decode.d3.loss_dice: 0.7679, decode.d4.loss_cls: 0.3257, decode.d4.loss_mask: 0.5076, decode.d4.loss_dice: 0.7728, decode.d5.loss_cls: 0.3254, decode.d5.loss_mask: 0.5064, decode.d5.loss_dice: 0.7667, decode.d6.loss_cls: 0.3295, decode.d6.loss_mask: 0.5020, decode.d6.loss_dice: 0.7566, decode.d7.loss_cls: 0.3243, decode.d7.loss_mask: 0.5038, decode.d7.loss_dice: 0.7603, decode.d8.loss_cls: 0.3249, decode.d8.loss_mask: 0.5036, decode.d8.loss_dice: 0.7631, loss: 17.4009, grad_norm: 71.1902 2023-11-22 09:10:23,950 - mmseg - INFO - Iter [73100/160000] lr: 5.173e-06, eta: 14:09:54, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3219, decode.loss_mask: 0.5192, decode.loss_dice: 0.7929, decode.d0.loss_cls: 1.4514, decode.d0.loss_mask: 0.5610, decode.d0.loss_dice: 0.8915, decode.d1.loss_cls: 0.4184, decode.d1.loss_mask: 0.5418, decode.d1.loss_dice: 0.8343, decode.d2.loss_cls: 0.3608, decode.d2.loss_mask: 0.5337, decode.d2.loss_dice: 0.8135, decode.d3.loss_cls: 0.3356, decode.d3.loss_mask: 0.5258, decode.d3.loss_dice: 0.7972, decode.d4.loss_cls: 0.3310, decode.d4.loss_mask: 0.5247, decode.d4.loss_dice: 0.7963, decode.d5.loss_cls: 0.3260, decode.d5.loss_mask: 0.5242, decode.d5.loss_dice: 0.7992, decode.d6.loss_cls: 0.3275, decode.d6.loss_mask: 0.5198, decode.d6.loss_dice: 0.7904, decode.d7.loss_cls: 0.3273, decode.d7.loss_mask: 0.5157, decode.d7.loss_dice: 0.7914, decode.d8.loss_cls: 0.3255, decode.d8.loss_mask: 0.5193, decode.d8.loss_dice: 0.7940, loss: 17.9113, grad_norm: 74.0655 2023-11-22 09:10:52,423 - mmseg - INFO - Iter [73150/160000] lr: 5.170e-06, eta: 14:09:23, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2940, decode.loss_mask: 0.5233, decode.loss_dice: 0.7714, decode.d0.loss_cls: 1.4583, decode.d0.loss_mask: 0.5658, decode.d0.loss_dice: 0.8690, decode.d1.loss_cls: 0.3898, decode.d1.loss_mask: 0.5485, decode.d1.loss_dice: 0.8248, decode.d2.loss_cls: 0.3338, decode.d2.loss_mask: 0.5368, decode.d2.loss_dice: 0.7973, decode.d3.loss_cls: 0.3123, decode.d3.loss_mask: 0.5308, decode.d3.loss_dice: 0.7792, decode.d4.loss_cls: 0.3029, decode.d4.loss_mask: 0.5279, decode.d4.loss_dice: 0.7831, decode.d5.loss_cls: 0.2979, decode.d5.loss_mask: 0.5272, decode.d5.loss_dice: 0.7803, decode.d6.loss_cls: 0.2956, decode.d6.loss_mask: 0.5255, decode.d6.loss_dice: 0.7759, decode.d7.loss_cls: 0.2966, decode.d7.loss_mask: 0.5268, decode.d7.loss_dice: 0.7748, decode.d8.loss_cls: 0.2946, decode.d8.loss_mask: 0.5241, decode.d8.loss_dice: 0.7731, loss: 17.5413, grad_norm: 71.7773 2023-11-22 09:11:21,113 - mmseg - INFO - Iter [73200/160000] lr: 5.167e-06, eta: 14:08:53, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2850, decode.loss_mask: 0.5465, decode.loss_dice: 0.7987, decode.d0.loss_cls: 1.4338, decode.d0.loss_mask: 0.5850, decode.d0.loss_dice: 0.8969, decode.d1.loss_cls: 0.3815, decode.d1.loss_mask: 0.5658, decode.d1.loss_dice: 0.8429, decode.d2.loss_cls: 0.3263, decode.d2.loss_mask: 0.5549, decode.d2.loss_dice: 0.8189, decode.d3.loss_cls: 0.3029, decode.d3.loss_mask: 0.5528, decode.d3.loss_dice: 0.8066, decode.d4.loss_cls: 0.2972, decode.d4.loss_mask: 0.5495, decode.d4.loss_dice: 0.8059, decode.d5.loss_cls: 0.2872, decode.d5.loss_mask: 0.5508, decode.d5.loss_dice: 0.8060, decode.d6.loss_cls: 0.2841, decode.d6.loss_mask: 0.5488, decode.d6.loss_dice: 0.8069, decode.d7.loss_cls: 0.2828, decode.d7.loss_mask: 0.5486, decode.d7.loss_dice: 0.8011, decode.d8.loss_cls: 0.2837, decode.d8.loss_mask: 0.5468, decode.d8.loss_dice: 0.7994, loss: 17.8972, grad_norm: 72.3162 2023-11-22 09:11:49,489 - mmseg - INFO - Iter [73250/160000] lr: 5.164e-06, eta: 14:08:23, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3019, decode.loss_mask: 0.5456, decode.loss_dice: 0.8199, decode.d0.loss_cls: 1.4482, decode.d0.loss_mask: 0.5815, decode.d0.loss_dice: 0.9176, decode.d1.loss_cls: 0.3905, decode.d1.loss_mask: 0.5684, decode.d1.loss_dice: 0.8681, decode.d2.loss_cls: 0.3463, decode.d2.loss_mask: 0.5565, decode.d2.loss_dice: 0.8395, decode.d3.loss_cls: 0.3299, decode.d3.loss_mask: 0.5497, decode.d3.loss_dice: 0.8262, decode.d4.loss_cls: 0.3193, decode.d4.loss_mask: 0.5484, decode.d4.loss_dice: 0.8229, decode.d5.loss_cls: 0.3165, decode.d5.loss_mask: 0.5471, decode.d5.loss_dice: 0.8218, decode.d6.loss_cls: 0.3110, decode.d6.loss_mask: 0.5474, decode.d6.loss_dice: 0.8157, decode.d7.loss_cls: 0.3057, decode.d7.loss_mask: 0.5461, decode.d7.loss_dice: 0.8212, decode.d8.loss_cls: 0.3006, decode.d8.loss_mask: 0.5448, decode.d8.loss_dice: 0.8194, loss: 18.2776, grad_norm: 74.1623 2023-11-22 09:12:20,413 - mmseg - INFO - Iter [73300/160000] lr: 5.161e-06, eta: 14:07:55, time: 0.619, data_time: 0.058, memory: 38143, decode.loss_cls: 0.2943, decode.loss_mask: 0.5021, decode.loss_dice: 0.7543, decode.d0.loss_cls: 1.4380, decode.d0.loss_mask: 0.5440, decode.d0.loss_dice: 0.8606, decode.d1.loss_cls: 0.3971, decode.d1.loss_mask: 0.5251, decode.d1.loss_dice: 0.8001, decode.d2.loss_cls: 0.3398, decode.d2.loss_mask: 0.5136, decode.d2.loss_dice: 0.7735, decode.d3.loss_cls: 0.3220, decode.d3.loss_mask: 0.5052, decode.d3.loss_dice: 0.7608, decode.d4.loss_cls: 0.3091, decode.d4.loss_mask: 0.5047, decode.d4.loss_dice: 0.7557, decode.d5.loss_cls: 0.3037, decode.d5.loss_mask: 0.5046, decode.d5.loss_dice: 0.7591, decode.d6.loss_cls: 0.3042, decode.d6.loss_mask: 0.5043, decode.d6.loss_dice: 0.7500, decode.d7.loss_cls: 0.3024, decode.d7.loss_mask: 0.5025, decode.d7.loss_dice: 0.7488, decode.d8.loss_cls: 0.2941, decode.d8.loss_mask: 0.5027, decode.d8.loss_dice: 0.7564, loss: 17.1328, grad_norm: 68.5181 2023-11-22 09:12:48,678 - mmseg - INFO - Iter [73350/160000] lr: 5.158e-06, eta: 14:07:25, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2818, decode.loss_mask: 0.5282, decode.loss_dice: 0.7709, decode.d0.loss_cls: 1.3945, decode.d0.loss_mask: 0.5679, decode.d0.loss_dice: 0.8649, decode.d1.loss_cls: 0.3732, decode.d1.loss_mask: 0.5429, decode.d1.loss_dice: 0.8141, decode.d2.loss_cls: 0.3236, decode.d2.loss_mask: 0.5359, decode.d2.loss_dice: 0.7880, decode.d3.loss_cls: 0.3071, decode.d3.loss_mask: 0.5277, decode.d3.loss_dice: 0.7690, decode.d4.loss_cls: 0.2973, decode.d4.loss_mask: 0.5269, decode.d4.loss_dice: 0.7656, decode.d5.loss_cls: 0.2906, decode.d5.loss_mask: 0.5284, decode.d5.loss_dice: 0.7758, decode.d6.loss_cls: 0.2845, decode.d6.loss_mask: 0.5261, decode.d6.loss_dice: 0.7703, decode.d7.loss_cls: 0.2858, decode.d7.loss_mask: 0.5260, decode.d7.loss_dice: 0.7677, decode.d8.loss_cls: 0.2867, decode.d8.loss_mask: 0.5272, decode.d8.loss_dice: 0.7717, loss: 17.3202, grad_norm: 71.1685 2023-11-22 09:13:17,101 - mmseg - INFO - Iter [73400/160000] lr: 5.155e-06, eta: 14:06:54, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2811, decode.loss_mask: 0.5266, decode.loss_dice: 0.7579, decode.d0.loss_cls: 1.3885, decode.d0.loss_mask: 0.5681, decode.d0.loss_dice: 0.8605, decode.d1.loss_cls: 0.3694, decode.d1.loss_mask: 0.5517, decode.d1.loss_dice: 0.8040, decode.d2.loss_cls: 0.3190, decode.d2.loss_mask: 0.5400, decode.d2.loss_dice: 0.7792, decode.d3.loss_cls: 0.2975, decode.d3.loss_mask: 0.5333, decode.d3.loss_dice: 0.7627, decode.d4.loss_cls: 0.2869, decode.d4.loss_mask: 0.5337, decode.d4.loss_dice: 0.7614, decode.d5.loss_cls: 0.2871, decode.d5.loss_mask: 0.5318, decode.d5.loss_dice: 0.7672, decode.d6.loss_cls: 0.2834, decode.d6.loss_mask: 0.5303, decode.d6.loss_dice: 0.7578, decode.d7.loss_cls: 0.2817, decode.d7.loss_mask: 0.5306, decode.d7.loss_dice: 0.7563, decode.d8.loss_cls: 0.2783, decode.d8.loss_mask: 0.5286, decode.d8.loss_dice: 0.7559, loss: 17.2108, grad_norm: 81.1249 2023-11-22 09:13:45,689 - mmseg - INFO - Iter [73450/160000] lr: 5.152e-06, eta: 14:06:24, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2745, decode.loss_mask: 0.5210, decode.loss_dice: 0.7541, decode.d0.loss_cls: 1.3741, decode.d0.loss_mask: 0.5634, decode.d0.loss_dice: 0.8623, decode.d1.loss_cls: 0.3622, decode.d1.loss_mask: 0.5447, decode.d1.loss_dice: 0.8059, decode.d2.loss_cls: 0.3122, decode.d2.loss_mask: 0.5287, decode.d2.loss_dice: 0.7807, decode.d3.loss_cls: 0.2938, decode.d3.loss_mask: 0.5231, decode.d3.loss_dice: 0.7632, decode.d4.loss_cls: 0.2896, decode.d4.loss_mask: 0.5204, decode.d4.loss_dice: 0.7643, decode.d5.loss_cls: 0.2792, decode.d5.loss_mask: 0.5254, decode.d5.loss_dice: 0.7637, decode.d6.loss_cls: 0.2838, decode.d6.loss_mask: 0.5219, decode.d6.loss_dice: 0.7546, decode.d7.loss_cls: 0.2766, decode.d7.loss_mask: 0.5225, decode.d7.loss_dice: 0.7575, decode.d8.loss_cls: 0.2768, decode.d8.loss_mask: 0.5197, decode.d8.loss_dice: 0.7554, loss: 17.0749, grad_norm: 80.1203 2023-11-22 09:14:14,297 - mmseg - INFO - Iter [73500/160000] lr: 5.149e-06, eta: 14:05:54, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2867, decode.loss_mask: 0.5100, decode.loss_dice: 0.7706, decode.d0.loss_cls: 1.4187, decode.d0.loss_mask: 0.5455, decode.d0.loss_dice: 0.8663, decode.d1.loss_cls: 0.3739, decode.d1.loss_mask: 0.5310, decode.d1.loss_dice: 0.8209, decode.d2.loss_cls: 0.3280, decode.d2.loss_mask: 0.5198, decode.d2.loss_dice: 0.7926, decode.d3.loss_cls: 0.3103, decode.d3.loss_mask: 0.5100, decode.d3.loss_dice: 0.7699, decode.d4.loss_cls: 0.3024, decode.d4.loss_mask: 0.5106, decode.d4.loss_dice: 0.7716, decode.d5.loss_cls: 0.3002, decode.d5.loss_mask: 0.5076, decode.d5.loss_dice: 0.7691, decode.d6.loss_cls: 0.2909, decode.d6.loss_mask: 0.5110, decode.d6.loss_dice: 0.7672, decode.d7.loss_cls: 0.2922, decode.d7.loss_mask: 0.5136, decode.d7.loss_dice: 0.7690, decode.d8.loss_cls: 0.2880, decode.d8.loss_mask: 0.5104, decode.d8.loss_dice: 0.7703, loss: 17.2283, grad_norm: 68.2673 2023-11-22 09:14:42,786 - mmseg - INFO - Iter [73550/160000] lr: 5.146e-06, eta: 14:05:24, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2964, decode.loss_mask: 0.5194, decode.loss_dice: 0.7604, decode.d0.loss_cls: 1.4372, decode.d0.loss_mask: 0.5552, decode.d0.loss_dice: 0.8556, decode.d1.loss_cls: 0.3912, decode.d1.loss_mask: 0.5360, decode.d1.loss_dice: 0.8038, decode.d2.loss_cls: 0.3425, decode.d2.loss_mask: 0.5269, decode.d2.loss_dice: 0.7841, decode.d3.loss_cls: 0.3204, decode.d3.loss_mask: 0.5238, decode.d3.loss_dice: 0.7676, decode.d4.loss_cls: 0.3064, decode.d4.loss_mask: 0.5228, decode.d4.loss_dice: 0.7707, decode.d5.loss_cls: 0.3074, decode.d5.loss_mask: 0.5200, decode.d5.loss_dice: 0.7649, decode.d6.loss_cls: 0.3048, decode.d6.loss_mask: 0.5161, decode.d6.loss_dice: 0.7566, decode.d7.loss_cls: 0.2993, decode.d7.loss_mask: 0.5170, decode.d7.loss_dice: 0.7603, decode.d8.loss_cls: 0.3006, decode.d8.loss_mask: 0.5183, decode.d8.loss_dice: 0.7610, loss: 17.3467, grad_norm: 72.7764 2023-11-22 09:15:11,397 - mmseg - INFO - Iter [73600/160000] lr: 5.143e-06, eta: 14:04:53, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3339, decode.loss_mask: 0.5005, decode.loss_dice: 0.7801, decode.d0.loss_cls: 1.4500, decode.d0.loss_mask: 0.5374, decode.d0.loss_dice: 0.8908, decode.d1.loss_cls: 0.4307, decode.d1.loss_mask: 0.5193, decode.d1.loss_dice: 0.8255, decode.d2.loss_cls: 0.3745, decode.d2.loss_mask: 0.5106, decode.d2.loss_dice: 0.7994, decode.d3.loss_cls: 0.3541, decode.d3.loss_mask: 0.5059, decode.d3.loss_dice: 0.7881, decode.d4.loss_cls: 0.3425, decode.d4.loss_mask: 0.5033, decode.d4.loss_dice: 0.7891, decode.d5.loss_cls: 0.3340, decode.d5.loss_mask: 0.5057, decode.d5.loss_dice: 0.7866, decode.d6.loss_cls: 0.3359, decode.d6.loss_mask: 0.4992, decode.d6.loss_dice: 0.7845, decode.d7.loss_cls: 0.3306, decode.d7.loss_mask: 0.5004, decode.d7.loss_dice: 0.7804, decode.d8.loss_cls: 0.3337, decode.d8.loss_mask: 0.4971, decode.d8.loss_dice: 0.7790, loss: 17.7023, grad_norm: 74.1822 2023-11-22 09:15:39,772 - mmseg - INFO - Iter [73650/160000] lr: 5.141e-06, eta: 14:04:23, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2725, decode.loss_mask: 0.4952, decode.loss_dice: 0.7484, decode.d0.loss_cls: 1.4021, decode.d0.loss_mask: 0.5337, decode.d0.loss_dice: 0.8500, decode.d1.loss_cls: 0.3692, decode.d1.loss_mask: 0.5129, decode.d1.loss_dice: 0.7980, decode.d2.loss_cls: 0.3190, decode.d2.loss_mask: 0.5020, decode.d2.loss_dice: 0.7731, decode.d3.loss_cls: 0.2941, decode.d3.loss_mask: 0.4989, decode.d3.loss_dice: 0.7604, decode.d4.loss_cls: 0.2868, decode.d4.loss_mask: 0.5008, decode.d4.loss_dice: 0.7645, decode.d5.loss_cls: 0.2839, decode.d5.loss_mask: 0.4978, decode.d5.loss_dice: 0.7559, decode.d6.loss_cls: 0.2762, decode.d6.loss_mask: 0.4964, decode.d6.loss_dice: 0.7507, decode.d7.loss_cls: 0.2779, decode.d7.loss_mask: 0.4977, decode.d7.loss_dice: 0.7510, decode.d8.loss_cls: 0.2790, decode.d8.loss_mask: 0.4975, decode.d8.loss_dice: 0.7494, loss: 16.7951, grad_norm: 67.0413 2023-11-22 09:16:08,288 - mmseg - INFO - Iter [73700/160000] lr: 5.138e-06, eta: 14:03:53, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2886, decode.loss_mask: 0.5211, decode.loss_dice: 0.7583, decode.d0.loss_cls: 1.3920, decode.d0.loss_mask: 0.5602, decode.d0.loss_dice: 0.8647, decode.d1.loss_cls: 0.3648, decode.d1.loss_mask: 0.5466, decode.d1.loss_dice: 0.8057, decode.d2.loss_cls: 0.3254, decode.d2.loss_mask: 0.5346, decode.d2.loss_dice: 0.7825, decode.d3.loss_cls: 0.3038, decode.d3.loss_mask: 0.5268, decode.d3.loss_dice: 0.7692, decode.d4.loss_cls: 0.2998, decode.d4.loss_mask: 0.5280, decode.d4.loss_dice: 0.7713, decode.d5.loss_cls: 0.2894, decode.d5.loss_mask: 0.5289, decode.d5.loss_dice: 0.7728, decode.d6.loss_cls: 0.2887, decode.d6.loss_mask: 0.5274, decode.d6.loss_dice: 0.7680, decode.d7.loss_cls: 0.2854, decode.d7.loss_mask: 0.5265, decode.d7.loss_dice: 0.7623, decode.d8.loss_cls: 0.2898, decode.d8.loss_mask: 0.5228, decode.d8.loss_dice: 0.7627, loss: 17.2681, grad_norm: 73.3602 2023-11-22 09:16:37,048 - mmseg - INFO - Iter [73750/160000] lr: 5.135e-06, eta: 14:03:23, time: 0.575, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3054, decode.loss_mask: 0.5209, decode.loss_dice: 0.8012, decode.d0.loss_cls: 1.4251, decode.d0.loss_mask: 0.5564, decode.d0.loss_dice: 0.9020, decode.d1.loss_cls: 0.4021, decode.d1.loss_mask: 0.5391, decode.d1.loss_dice: 0.8538, decode.d2.loss_cls: 0.3394, decode.d2.loss_mask: 0.5260, decode.d2.loss_dice: 0.8300, decode.d3.loss_cls: 0.3246, decode.d3.loss_mask: 0.5218, decode.d3.loss_dice: 0.8098, decode.d4.loss_cls: 0.3151, decode.d4.loss_mask: 0.5221, decode.d4.loss_dice: 0.8116, decode.d5.loss_cls: 0.3124, decode.d5.loss_mask: 0.5227, decode.d5.loss_dice: 0.8121, decode.d6.loss_cls: 0.3079, decode.d6.loss_mask: 0.5186, decode.d6.loss_dice: 0.7996, decode.d7.loss_cls: 0.3028, decode.d7.loss_mask: 0.5202, decode.d7.loss_dice: 0.8050, decode.d8.loss_cls: 0.2997, decode.d8.loss_mask: 0.5198, decode.d8.loss_dice: 0.8079, loss: 17.8352, grad_norm: 74.6290 2023-11-22 09:17:05,696 - mmseg - INFO - Iter [73800/160000] lr: 5.132e-06, eta: 14:02:53, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2983, decode.loss_mask: 0.5143, decode.loss_dice: 0.7814, decode.d0.loss_cls: 1.4470, decode.d0.loss_mask: 0.5492, decode.d0.loss_dice: 0.8830, decode.d1.loss_cls: 0.3895, decode.d1.loss_mask: 0.5353, decode.d1.loss_dice: 0.8391, decode.d2.loss_cls: 0.3331, decode.d2.loss_mask: 0.5230, decode.d2.loss_dice: 0.8110, decode.d3.loss_cls: 0.3183, decode.d3.loss_mask: 0.5164, decode.d3.loss_dice: 0.7975, decode.d4.loss_cls: 0.3083, decode.d4.loss_mask: 0.5200, decode.d4.loss_dice: 0.7962, decode.d5.loss_cls: 0.2994, decode.d5.loss_mask: 0.5193, decode.d5.loss_dice: 0.7915, decode.d6.loss_cls: 0.3001, decode.d6.loss_mask: 0.5165, decode.d6.loss_dice: 0.7838, decode.d7.loss_cls: 0.2970, decode.d7.loss_mask: 0.5153, decode.d7.loss_dice: 0.7826, decode.d8.loss_cls: 0.2958, decode.d8.loss_mask: 0.5150, decode.d8.loss_dice: 0.7858, loss: 17.5632, grad_norm: 65.6729 2023-11-22 09:17:34,013 - mmseg - INFO - Iter [73850/160000] lr: 5.129e-06, eta: 14:02:22, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2909, decode.loss_mask: 0.5180, decode.loss_dice: 0.7844, decode.d0.loss_cls: 1.4092, decode.d0.loss_mask: 0.5502, decode.d0.loss_dice: 0.8785, decode.d1.loss_cls: 0.3774, decode.d1.loss_mask: 0.5353, decode.d1.loss_dice: 0.8230, decode.d2.loss_cls: 0.3251, decode.d2.loss_mask: 0.5250, decode.d2.loss_dice: 0.8080, decode.d3.loss_cls: 0.3100, decode.d3.loss_mask: 0.5201, decode.d3.loss_dice: 0.7855, decode.d4.loss_cls: 0.3044, decode.d4.loss_mask: 0.5183, decode.d4.loss_dice: 0.7864, decode.d5.loss_cls: 0.3042, decode.d5.loss_mask: 0.5209, decode.d5.loss_dice: 0.7896, decode.d6.loss_cls: 0.2964, decode.d6.loss_mask: 0.5178, decode.d6.loss_dice: 0.7829, decode.d7.loss_cls: 0.2955, decode.d7.loss_mask: 0.5164, decode.d7.loss_dice: 0.7821, decode.d8.loss_cls: 0.2940, decode.d8.loss_mask: 0.5178, decode.d8.loss_dice: 0.7881, loss: 17.4556, grad_norm: 74.4766 2023-11-22 09:18:02,432 - mmseg - INFO - Iter [73900/160000] lr: 5.126e-06, eta: 14:01:52, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2913, decode.loss_mask: 0.5416, decode.loss_dice: 0.7915, decode.d0.loss_cls: 1.4131, decode.d0.loss_mask: 0.5816, decode.d0.loss_dice: 0.8933, decode.d1.loss_cls: 0.3815, decode.d1.loss_mask: 0.5627, decode.d1.loss_dice: 0.8462, decode.d2.loss_cls: 0.3306, decode.d2.loss_mask: 0.5513, decode.d2.loss_dice: 0.8192, decode.d3.loss_cls: 0.3131, decode.d3.loss_mask: 0.5463, decode.d3.loss_dice: 0.8024, decode.d4.loss_cls: 0.3037, decode.d4.loss_mask: 0.5457, decode.d4.loss_dice: 0.8031, decode.d5.loss_cls: 0.3024, decode.d5.loss_mask: 0.5441, decode.d5.loss_dice: 0.8020, decode.d6.loss_cls: 0.2932, decode.d6.loss_mask: 0.5415, decode.d6.loss_dice: 0.7941, decode.d7.loss_cls: 0.2894, decode.d7.loss_mask: 0.5417, decode.d7.loss_dice: 0.7963, decode.d8.loss_cls: 0.2912, decode.d8.loss_mask: 0.5419, decode.d8.loss_dice: 0.7955, loss: 17.8515, grad_norm: 76.7161 2023-11-22 09:18:30,769 - mmseg - INFO - Iter [73950/160000] lr: 5.123e-06, eta: 14:01:21, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2674, decode.loss_mask: 0.5129, decode.loss_dice: 0.7583, decode.d0.loss_cls: 1.4025, decode.d0.loss_mask: 0.5559, decode.d0.loss_dice: 0.8529, decode.d1.loss_cls: 0.3600, decode.d1.loss_mask: 0.5364, decode.d1.loss_dice: 0.7952, decode.d2.loss_cls: 0.3068, decode.d2.loss_mask: 0.5244, decode.d2.loss_dice: 0.7798, decode.d3.loss_cls: 0.2831, decode.d3.loss_mask: 0.5172, decode.d3.loss_dice: 0.7615, decode.d4.loss_cls: 0.2826, decode.d4.loss_mask: 0.5156, decode.d4.loss_dice: 0.7590, decode.d5.loss_cls: 0.2784, decode.d5.loss_mask: 0.5159, decode.d5.loss_dice: 0.7609, decode.d6.loss_cls: 0.2756, decode.d6.loss_mask: 0.5128, decode.d6.loss_dice: 0.7582, decode.d7.loss_cls: 0.2689, decode.d7.loss_mask: 0.5142, decode.d7.loss_dice: 0.7567, decode.d8.loss_cls: 0.2695, decode.d8.loss_mask: 0.5139, decode.d8.loss_dice: 0.7537, loss: 16.9502, grad_norm: 67.3854 2023-11-22 09:18:59,291 - mmseg - INFO - Saving checkpoint at 74000 iterations 2023-11-22 09:19:07,624 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 09:19:07,624 - mmseg - INFO - Iter [74000/160000] lr: 5.120e-06, eta: 14:01:01, time: 0.737, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2951, decode.loss_mask: 0.4944, decode.loss_dice: 0.7691, decode.d0.loss_cls: 1.4423, decode.d0.loss_mask: 0.5375, decode.d0.loss_dice: 0.8737, decode.d1.loss_cls: 0.4003, decode.d1.loss_mask: 0.5166, decode.d1.loss_dice: 0.8246, decode.d2.loss_cls: 0.3499, decode.d2.loss_mask: 0.5042, decode.d2.loss_dice: 0.7959, decode.d3.loss_cls: 0.3247, decode.d3.loss_mask: 0.5014, decode.d3.loss_dice: 0.7765, decode.d4.loss_cls: 0.3172, decode.d4.loss_mask: 0.4979, decode.d4.loss_dice: 0.7790, decode.d5.loss_cls: 0.3048, decode.d5.loss_mask: 0.4976, decode.d5.loss_dice: 0.7800, decode.d6.loss_cls: 0.3071, decode.d6.loss_mask: 0.4919, decode.d6.loss_dice: 0.7706, decode.d7.loss_cls: 0.3031, decode.d7.loss_mask: 0.4940, decode.d7.loss_dice: 0.7729, decode.d8.loss_cls: 0.2962, decode.d8.loss_mask: 0.4969, decode.d8.loss_dice: 0.7744, loss: 17.2898, grad_norm: 66.4766 2023-11-22 09:19:26,923 - mmseg - INFO - per class results: 2023-11-22 09:19:26,928 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.12 | 87.47 | | building | 83.34 | 92.0 | | sky | 95.04 | 97.89 | | floor | 83.96 | 90.62 | | tree | 76.51 | 87.14 | | ceiling | 85.5 | 91.71 | | road | 86.46 | 90.52 | | bed | 91.61 | 96.05 | | windowpane | 63.94 | 81.97 | | grass | 69.2 | 79.73 | | cabinet | 62.45 | 76.68 | | sidewalk | 67.34 | 84.58 | | person | 86.13 | 93.0 | | earth | 38.86 | 59.49 | | door | 55.9 | 78.35 | | table | 69.87 | 86.36 | | mountain | 52.8 | 64.42 | | plant | 52.93 | 67.03 | | curtain | 76.86 | 86.4 | | chair | 65.93 | 76.13 | | car | 87.78 | 93.78 | | water | 46.58 | 58.47 | | painting | 77.64 | 89.11 | | sofa | 76.23 | 88.43 | | shelf | 48.24 | 65.05 | | house | 39.54 | 54.79 | | sea | 54.77 | 91.11 | | mirror | 69.95 | 84.87 | | rug | 68.17 | 81.92 | | field | 41.33 | 59.01 | | armchair | 53.51 | 72.04 | | seat | 66.4 | 85.33 | | fence | 49.65 | 60.78 | | desk | 54.0 | 72.98 | | rock | 51.7 | 72.6 | | wardrobe | 49.08 | 71.07 | | lamp | 72.49 | 83.4 | | bathtub | 79.08 | 85.96 | | railing | 42.24 | 64.46 | | cushion | 64.95 | 79.64 | | base | 38.58 | 64.5 | | box | 30.99 | 39.32 | | column | 54.19 | 71.3 | | signboard | 40.82 | 63.34 | | chest of drawers | 38.77 | 54.17 | | counter | 44.46 | 53.77 | | sand | 37.77 | 51.48 | | sink | 81.26 | 86.81 | | skyscraper | 24.91 | 27.31 | | fireplace | 75.98 | 92.02 | | refrigerator | 78.56 | 89.76 | | grandstand | 43.18 | 73.42 | | path | 19.91 | 32.34 | | stairs | 22.77 | 26.86 | | runway | 75.27 | 94.91 | | case | 60.01 | 88.75 | | pool table | 88.97 | 97.54 | | pillow | 61.59 | 73.94 | | screen door | 66.94 | 77.95 | | stairway | 31.06 | 52.97 | | river | 13.88 | 20.08 | | bridge | 81.42 | 92.08 | | bookcase | 33.09 | 48.58 | | blind | 42.91 | 48.86 | | coffee table | 71.1 | 86.13 | | toilet | 87.92 | 92.49 | | flower | 42.52 | 57.61 | | book | 52.93 | 75.83 | | hill | 7.03 | 14.86 | | bench | 61.76 | 76.4 | | countertop | 64.15 | 73.6 | | stove | 83.21 | 88.15 | | palm | 55.59 | 81.54 | | kitchen island | 46.91 | 88.95 | | computer | 72.97 | 82.12 | | swivel chair | 56.41 | 78.51 | | boat | 39.15 | 56.95 | | bar | 62.66 | 67.93 | | arcade machine | 33.67 | 35.47 | | hovel | 63.98 | 75.64 | | bus | 93.03 | 96.75 | | towel | 75.27 | 89.07 | | light | 62.65 | 82.17 | | truck | 44.48 | 55.29 | | tower | 44.45 | 75.72 | | chandelier | 70.64 | 86.34 | | awning | 36.42 | 58.03 | | streetlight | 43.06 | 66.53 | | booth | 59.65 | 66.92 | | television receiver | 76.01 | 89.26 | | airplane | 71.44 | 75.69 | | dirt track | 5.0 | 9.95 | | apparel | 53.5 | 63.45 | | pole | 35.94 | 49.92 | | land | 4.8 | 6.41 | | bannister | 17.46 | 23.74 | | escalator | 59.08 | 70.65 | | ottoman | 51.2 | 76.78 | | bottle | 39.87 | 74.39 | | buffet | 55.49 | 65.98 | | poster | 31.89 | 40.0 | | stage | 20.95 | 49.07 | | van | 47.31 | 74.92 | | ship | 11.26 | 16.01 | | fountain | 21.51 | 21.89 | | conveyer belt | 68.54 | 89.8 | | canopy | 28.23 | 53.68 | | washer | 71.05 | 75.13 | | plaything | 39.73 | 55.62 | | swimming pool | 48.09 | 71.09 | | stool | 61.3 | 76.95 | | barrel | 88.83 | 97.61 | | basket | 41.7 | 60.88 | | waterfall | 67.69 | 94.43 | | tent | 89.29 | 98.1 | | bag | 27.52 | 37.35 | | minibike | 73.16 | 90.34 | | cradle | 78.21 | 97.68 | | oven | 53.87 | 64.38 | | ball | 17.3 | 46.76 | | food | 53.07 | 55.71 | | step | 25.48 | 43.89 | | tank | 62.8 | 65.65 | | trade name | 27.78 | 32.4 | | microwave | 76.9 | 84.11 | | pot | 56.54 | 70.31 | | animal | 55.96 | 56.89 | | bicycle | 60.72 | 81.87 | | lake | 0.0 | 0.0 | | dishwasher | 82.26 | 88.87 | | screen | 58.32 | 91.29 | | blanket | 34.27 | 51.89 | | sculpture | 77.82 | 89.45 | | hood | 67.77 | 78.06 | | sconce | 61.27 | 77.49 | | vase | 53.21 | 76.84 | | traffic light | 43.7 | 72.26 | | tray | 23.64 | 38.51 | | ashcan | 49.83 | 76.12 | | fan | 72.69 | 84.64 | | pier | 38.26 | 40.08 | | crt screen | 3.78 | 11.28 | | plate | 65.07 | 83.88 | | monitor | 9.33 | 11.76 | | bulletin board | 55.36 | 78.56 | | shower | 3.24 | 26.41 | | radiator | 68.81 | 82.49 | | glass | 24.85 | 28.69 | | clock | 50.82 | 64.83 | | flag | 75.48 | 86.18 | +---------------------+-------+-------+ 2023-11-22 09:19:26,929 - mmseg - INFO - Summary: 2023-11-22 09:19:26,929 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.56 | 54.35 | 68.41 | +-------+-------+-------+ 2023-11-22 09:19:26,930 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 09:19:26,930 - mmseg - INFO - Iter(val) [250] aAcc: 0.8456, mIoU: 0.5435, mAcc: 0.6841, IoU.wall: 0.8012, IoU.building: 0.8334, IoU.sky: 0.9504, IoU.floor: 0.8396, IoU.tree: 0.7651, IoU.ceiling: 0.8550, IoU.road: 0.8646, IoU.bed : 0.9161, IoU.windowpane: 0.6394, IoU.grass: 0.6920, IoU.cabinet: 0.6245, IoU.sidewalk: 0.6734, IoU.person: 0.8613, IoU.earth: 0.3886, IoU.door: 0.5590, IoU.table: 0.6987, IoU.mountain: 0.5280, IoU.plant: 0.5293, IoU.curtain: 0.7686, IoU.chair: 0.6593, IoU.car: 0.8778, IoU.water: 0.4658, IoU.painting: 0.7764, IoU.sofa: 0.7623, IoU.shelf: 0.4824, IoU.house: 0.3954, IoU.sea: 0.5477, IoU.mirror: 0.6995, IoU.rug: 0.6817, IoU.field: 0.4133, IoU.armchair: 0.5351, IoU.seat: 0.6640, IoU.fence: 0.4965, IoU.desk: 0.5400, IoU.rock: 0.5170, IoU.wardrobe: 0.4908, IoU.lamp: 0.7249, IoU.bathtub: 0.7908, IoU.railing: 0.4224, IoU.cushion: 0.6495, IoU.base: 0.3858, IoU.box: 0.3099, IoU.column: 0.5419, IoU.signboard: 0.4082, IoU.chest of drawers: 0.3877, IoU.counter: 0.4446, IoU.sand: 0.3777, IoU.sink: 0.8126, IoU.skyscraper: 0.2491, IoU.fireplace: 0.7598, IoU.refrigerator: 0.7856, IoU.grandstand: 0.4318, IoU.path: 0.1991, IoU.stairs: 0.2277, IoU.runway: 0.7527, IoU.case: 0.6001, IoU.pool table: 0.8897, IoU.pillow: 0.6159, IoU.screen door: 0.6694, IoU.stairway: 0.3106, IoU.river: 0.1388, IoU.bridge: 0.8142, IoU.bookcase: 0.3309, IoU.blind: 0.4291, IoU.coffee table: 0.7110, IoU.toilet: 0.8792, IoU.flower: 0.4252, IoU.book: 0.5293, IoU.hill: 0.0703, IoU.bench: 0.6176, IoU.countertop: 0.6415, IoU.stove: 0.8321, IoU.palm: 0.5559, IoU.kitchen island: 0.4691, IoU.computer: 0.7297, IoU.swivel chair: 0.5641, IoU.boat: 0.3915, IoU.bar: 0.6266, IoU.arcade machine: 0.3367, IoU.hovel: 0.6398, IoU.bus: 0.9303, IoU.towel: 0.7527, IoU.light: 0.6265, IoU.truck: 0.4448, IoU.tower: 0.4445, IoU.chandelier: 0.7064, IoU.awning: 0.3642, IoU.streetlight: 0.4306, IoU.booth: 0.5965, IoU.television receiver: 0.7601, IoU.airplane: 0.7144, IoU.dirt track: 0.0500, IoU.apparel: 0.5350, IoU.pole: 0.3594, IoU.land: 0.0480, IoU.bannister: 0.1746, IoU.escalator: 0.5908, IoU.ottoman: 0.5120, IoU.bottle: 0.3987, IoU.buffet: 0.5549, IoU.poster: 0.3189, IoU.stage: 0.2095, IoU.van: 0.4731, IoU.ship: 0.1126, IoU.fountain: 0.2151, IoU.conveyer belt: 0.6854, IoU.canopy: 0.2823, IoU.washer: 0.7105, IoU.plaything: 0.3973, IoU.swimming pool: 0.4809, IoU.stool: 0.6130, IoU.barrel: 0.8883, IoU.basket: 0.4170, IoU.waterfall: 0.6769, IoU.tent: 0.8929, IoU.bag: 0.2752, IoU.minibike: 0.7316, IoU.cradle: 0.7821, IoU.oven: 0.5387, IoU.ball: 0.1730, IoU.food: 0.5307, IoU.step: 0.2548, IoU.tank: 0.6280, IoU.trade name: 0.2778, IoU.microwave: 0.7690, IoU.pot: 0.5654, IoU.animal: 0.5596, IoU.bicycle: 0.6072, IoU.lake: 0.0000, IoU.dishwasher: 0.8226, IoU.screen: 0.5832, IoU.blanket: 0.3427, IoU.sculpture: 0.7782, IoU.hood: 0.6777, IoU.sconce: 0.6127, IoU.vase: 0.5321, IoU.traffic light: 0.4370, IoU.tray: 0.2364, IoU.ashcan: 0.4983, IoU.fan: 0.7269, IoU.pier: 0.3826, IoU.crt screen: 0.0378, IoU.plate: 0.6507, IoU.monitor: 0.0933, IoU.bulletin board: 0.5536, IoU.shower: 0.0324, IoU.radiator: 0.6881, IoU.glass: 0.2485, IoU.clock: 0.5082, IoU.flag: 0.7548, Acc.wall: 0.8747, Acc.building: 0.9200, Acc.sky: 0.9789, Acc.floor: 0.9062, Acc.tree: 0.8714, Acc.ceiling: 0.9171, Acc.road: 0.9052, Acc.bed : 0.9605, Acc.windowpane: 0.8197, Acc.grass: 0.7973, Acc.cabinet: 0.7668, Acc.sidewalk: 0.8458, Acc.person: 0.9300, Acc.earth: 0.5949, Acc.door: 0.7835, Acc.table: 0.8636, Acc.mountain: 0.6442, Acc.plant: 0.6703, Acc.curtain: 0.8640, Acc.chair: 0.7613, Acc.car: 0.9378, Acc.water: 0.5847, Acc.painting: 0.8911, Acc.sofa: 0.8843, Acc.shelf: 0.6505, Acc.house: 0.5479, Acc.sea: 0.9111, Acc.mirror: 0.8487, Acc.rug: 0.8192, Acc.field: 0.5901, Acc.armchair: 0.7204, Acc.seat: 0.8533, Acc.fence: 0.6078, Acc.desk: 0.7298, Acc.rock: 0.7260, Acc.wardrobe: 0.7107, Acc.lamp: 0.8340, Acc.bathtub: 0.8596, Acc.railing: 0.6446, Acc.cushion: 0.7964, Acc.base: 0.6450, Acc.box: 0.3932, Acc.column: 0.7130, Acc.signboard: 0.6334, Acc.chest of drawers: 0.5417, Acc.counter: 0.5377, Acc.sand: 0.5148, Acc.sink: 0.8681, Acc.skyscraper: 0.2731, Acc.fireplace: 0.9202, Acc.refrigerator: 0.8976, Acc.grandstand: 0.7342, Acc.path: 0.3234, Acc.stairs: 0.2686, Acc.runway: 0.9491, Acc.case: 0.8875, Acc.pool table: 0.9754, Acc.pillow: 0.7394, Acc.screen door: 0.7795, Acc.stairway: 0.5297, Acc.river: 0.2008, Acc.bridge: 0.9208, Acc.bookcase: 0.4858, Acc.blind: 0.4886, Acc.coffee table: 0.8613, Acc.toilet: 0.9249, Acc.flower: 0.5761, Acc.book: 0.7583, Acc.hill: 0.1486, Acc.bench: 0.7640, Acc.countertop: 0.7360, Acc.stove: 0.8815, Acc.palm: 0.8154, Acc.kitchen island: 0.8895, Acc.computer: 0.8212, Acc.swivel chair: 0.7851, Acc.boat: 0.5695, Acc.bar: 0.6793, Acc.arcade machine: 0.3547, Acc.hovel: 0.7564, Acc.bus: 0.9675, Acc.towel: 0.8907, Acc.light: 0.8217, Acc.truck: 0.5529, Acc.tower: 0.7572, Acc.chandelier: 0.8634, Acc.awning: 0.5803, Acc.streetlight: 0.6653, Acc.booth: 0.6692, Acc.television receiver: 0.8926, Acc.airplane: 0.7569, Acc.dirt track: 0.0995, Acc.apparel: 0.6345, Acc.pole: 0.4992, Acc.land: 0.0641, Acc.bannister: 0.2374, Acc.escalator: 0.7065, Acc.ottoman: 0.7678, Acc.bottle: 0.7439, Acc.buffet: 0.6598, Acc.poster: 0.4000, Acc.stage: 0.4907, Acc.van: 0.7492, Acc.ship: 0.1601, Acc.fountain: 0.2189, Acc.conveyer belt: 0.8980, Acc.canopy: 0.5368, Acc.washer: 0.7513, Acc.plaything: 0.5562, Acc.swimming pool: 0.7109, Acc.stool: 0.7695, Acc.barrel: 0.9761, Acc.basket: 0.6088, Acc.waterfall: 0.9443, Acc.tent: 0.9810, Acc.bag: 0.3735, Acc.minibike: 0.9034, Acc.cradle: 0.9768, Acc.oven: 0.6438, Acc.ball: 0.4676, Acc.food: 0.5571, Acc.step: 0.4389, Acc.tank: 0.6565, Acc.trade name: 0.3240, Acc.microwave: 0.8411, Acc.pot: 0.7031, Acc.animal: 0.5689, Acc.bicycle: 0.8187, Acc.lake: 0.0000, Acc.dishwasher: 0.8887, Acc.screen: 0.9129, Acc.blanket: 0.5189, Acc.sculpture: 0.8945, Acc.hood: 0.7806, Acc.sconce: 0.7749, Acc.vase: 0.7684, Acc.traffic light: 0.7226, Acc.tray: 0.3851, Acc.ashcan: 0.7612, Acc.fan: 0.8464, Acc.pier: 0.4008, Acc.crt screen: 0.1128, Acc.plate: 0.8388, Acc.monitor: 0.1176, Acc.bulletin board: 0.7856, Acc.shower: 0.2641, Acc.radiator: 0.8249, Acc.glass: 0.2869, Acc.clock: 0.6483, Acc.flag: 0.8618 2023-11-22 09:19:55,900 - mmseg - INFO - Iter [74050/160000] lr: 5.117e-06, eta: 14:00:53, time: 0.965, data_time: 0.399, memory: 38143, decode.loss_cls: 0.2906, decode.loss_mask: 0.5395, decode.loss_dice: 0.7800, decode.d0.loss_cls: 1.4232, decode.d0.loss_mask: 0.5680, decode.d0.loss_dice: 0.8740, decode.d1.loss_cls: 0.3846, decode.d1.loss_mask: 0.5549, decode.d1.loss_dice: 0.8237, decode.d2.loss_cls: 0.3303, decode.d2.loss_mask: 0.5469, decode.d2.loss_dice: 0.7983, decode.d3.loss_cls: 0.3156, decode.d3.loss_mask: 0.5431, decode.d3.loss_dice: 0.7824, decode.d4.loss_cls: 0.3041, decode.d4.loss_mask: 0.5408, decode.d4.loss_dice: 0.7848, decode.d5.loss_cls: 0.3080, decode.d5.loss_mask: 0.5381, decode.d5.loss_dice: 0.7823, decode.d6.loss_cls: 0.3022, decode.d6.loss_mask: 0.5381, decode.d6.loss_dice: 0.7740, decode.d7.loss_cls: 0.2949, decode.d7.loss_mask: 0.5392, decode.d7.loss_dice: 0.7784, decode.d8.loss_cls: 0.2972, decode.d8.loss_mask: 0.5391, decode.d8.loss_dice: 0.7779, loss: 17.6540, grad_norm: 77.6290 2023-11-22 09:20:24,442 - mmseg - INFO - Iter [74100/160000] lr: 5.114e-06, eta: 14:00:23, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2912, decode.loss_mask: 0.5164, decode.loss_dice: 0.7616, decode.d0.loss_cls: 1.3863, decode.d0.loss_mask: 0.5555, decode.d0.loss_dice: 0.8726, decode.d1.loss_cls: 0.3746, decode.d1.loss_mask: 0.5380, decode.d1.loss_dice: 0.8156, decode.d2.loss_cls: 0.3199, decode.d2.loss_mask: 0.5308, decode.d2.loss_dice: 0.7921, decode.d3.loss_cls: 0.3018, decode.d3.loss_mask: 0.5238, decode.d3.loss_dice: 0.7764, decode.d4.loss_cls: 0.2933, decode.d4.loss_mask: 0.5225, decode.d4.loss_dice: 0.7746, decode.d5.loss_cls: 0.2905, decode.d5.loss_mask: 0.5218, decode.d5.loss_dice: 0.7740, decode.d6.loss_cls: 0.2958, decode.d6.loss_mask: 0.5193, decode.d6.loss_dice: 0.7628, decode.d7.loss_cls: 0.2902, decode.d7.loss_mask: 0.5184, decode.d7.loss_dice: 0.7628, decode.d8.loss_cls: 0.2858, decode.d8.loss_mask: 0.5151, decode.d8.loss_dice: 0.7648, loss: 17.2485, grad_norm: 70.4695 2023-11-22 09:20:52,830 - mmseg - INFO - Iter [74150/160000] lr: 5.111e-06, eta: 13:59:52, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2944, decode.loss_mask: 0.5300, decode.loss_dice: 0.7704, decode.d0.loss_cls: 1.4250, decode.d0.loss_mask: 0.5615, decode.d0.loss_dice: 0.8606, decode.d1.loss_cls: 0.3892, decode.d1.loss_mask: 0.5487, decode.d1.loss_dice: 0.8152, decode.d2.loss_cls: 0.3344, decode.d2.loss_mask: 0.5361, decode.d2.loss_dice: 0.7863, decode.d3.loss_cls: 0.3123, decode.d3.loss_mask: 0.5324, decode.d3.loss_dice: 0.7771, decode.d4.loss_cls: 0.3060, decode.d4.loss_mask: 0.5310, decode.d4.loss_dice: 0.7754, decode.d5.loss_cls: 0.3011, decode.d5.loss_mask: 0.5322, decode.d5.loss_dice: 0.7756, decode.d6.loss_cls: 0.2932, decode.d6.loss_mask: 0.5307, decode.d6.loss_dice: 0.7660, decode.d7.loss_cls: 0.2930, decode.d7.loss_mask: 0.5313, decode.d7.loss_dice: 0.7681, decode.d8.loss_cls: 0.2893, decode.d8.loss_mask: 0.5277, decode.d8.loss_dice: 0.7682, loss: 17.4625, grad_norm: 72.8150 2023-11-22 09:21:21,198 - mmseg - INFO - Iter [74200/160000] lr: 5.108e-06, eta: 13:59:22, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2818, decode.loss_mask: 0.5234, decode.loss_dice: 0.7773, decode.d0.loss_cls: 1.3883, decode.d0.loss_mask: 0.5610, decode.d0.loss_dice: 0.8678, decode.d1.loss_cls: 0.3743, decode.d1.loss_mask: 0.5459, decode.d1.loss_dice: 0.8200, decode.d2.loss_cls: 0.3274, decode.d2.loss_mask: 0.5354, decode.d2.loss_dice: 0.7936, decode.d3.loss_cls: 0.3007, decode.d3.loss_mask: 0.5290, decode.d3.loss_dice: 0.7804, decode.d4.loss_cls: 0.2987, decode.d4.loss_mask: 0.5264, decode.d4.loss_dice: 0.7819, decode.d5.loss_cls: 0.2925, decode.d5.loss_mask: 0.5255, decode.d5.loss_dice: 0.7772, decode.d6.loss_cls: 0.2895, decode.d6.loss_mask: 0.5258, decode.d6.loss_dice: 0.7757, decode.d7.loss_cls: 0.2862, decode.d7.loss_mask: 0.5245, decode.d7.loss_dice: 0.7744, decode.d8.loss_cls: 0.2818, decode.d8.loss_mask: 0.5256, decode.d8.loss_dice: 0.7790, loss: 17.3709, grad_norm: 70.5658 2023-11-22 09:21:49,968 - mmseg - INFO - Iter [74250/160000] lr: 5.105e-06, eta: 13:58:52, time: 0.575, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3112, decode.loss_mask: 0.5113, decode.loss_dice: 0.7779, decode.d0.loss_cls: 1.4700, decode.d0.loss_mask: 0.5503, decode.d0.loss_dice: 0.8870, decode.d1.loss_cls: 0.3953, decode.d1.loss_mask: 0.5322, decode.d1.loss_dice: 0.8215, decode.d2.loss_cls: 0.3464, decode.d2.loss_mask: 0.5188, decode.d2.loss_dice: 0.7998, decode.d3.loss_cls: 0.3286, decode.d3.loss_mask: 0.5184, decode.d3.loss_dice: 0.7823, decode.d4.loss_cls: 0.3248, decode.d4.loss_mask: 0.5146, decode.d4.loss_dice: 0.7839, decode.d5.loss_cls: 0.3166, decode.d5.loss_mask: 0.5144, decode.d5.loss_dice: 0.7831, decode.d6.loss_cls: 0.3133, decode.d6.loss_mask: 0.5135, decode.d6.loss_dice: 0.7727, decode.d7.loss_cls: 0.3095, decode.d7.loss_mask: 0.5119, decode.d7.loss_dice: 0.7766, decode.d8.loss_cls: 0.3061, decode.d8.loss_mask: 0.5119, decode.d8.loss_dice: 0.7773, loss: 17.5811, grad_norm: 73.0020 2023-11-22 09:22:18,389 - mmseg - INFO - Iter [74300/160000] lr: 5.102e-06, eta: 13:58:21, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2888, decode.loss_mask: 0.5305, decode.loss_dice: 0.7762, decode.d0.loss_cls: 1.4167, decode.d0.loss_mask: 0.5651, decode.d0.loss_dice: 0.8646, decode.d1.loss_cls: 0.3853, decode.d1.loss_mask: 0.5588, decode.d1.loss_dice: 0.8192, decode.d2.loss_cls: 0.3269, decode.d2.loss_mask: 0.5432, decode.d2.loss_dice: 0.7984, decode.d3.loss_cls: 0.3078, decode.d3.loss_mask: 0.5346, decode.d3.loss_dice: 0.7848, decode.d4.loss_cls: 0.2976, decode.d4.loss_mask: 0.5377, decode.d4.loss_dice: 0.7830, decode.d5.loss_cls: 0.2949, decode.d5.loss_mask: 0.5338, decode.d5.loss_dice: 0.7804, decode.d6.loss_cls: 0.2925, decode.d6.loss_mask: 0.5310, decode.d6.loss_dice: 0.7749, decode.d7.loss_cls: 0.2920, decode.d7.loss_mask: 0.5304, decode.d7.loss_dice: 0.7787, decode.d8.loss_cls: 0.2867, decode.d8.loss_mask: 0.5312, decode.d8.loss_dice: 0.7759, loss: 17.5212, grad_norm: 75.0011 2023-11-22 09:22:46,965 - mmseg - INFO - Iter [74350/160000] lr: 5.099e-06, eta: 13:57:51, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3085, decode.loss_mask: 0.5260, decode.loss_dice: 0.7853, decode.d0.loss_cls: 1.3979, decode.d0.loss_mask: 0.5619, decode.d0.loss_dice: 0.8787, decode.d1.loss_cls: 0.3968, decode.d1.loss_mask: 0.5448, decode.d1.loss_dice: 0.8319, decode.d2.loss_cls: 0.3470, decode.d2.loss_mask: 0.5310, decode.d2.loss_dice: 0.8056, decode.d3.loss_cls: 0.3262, decode.d3.loss_mask: 0.5293, decode.d3.loss_dice: 0.7899, decode.d4.loss_cls: 0.3159, decode.d4.loss_mask: 0.5276, decode.d4.loss_dice: 0.7925, decode.d5.loss_cls: 0.3110, decode.d5.loss_mask: 0.5272, decode.d5.loss_dice: 0.7887, decode.d6.loss_cls: 0.3102, decode.d6.loss_mask: 0.5258, decode.d6.loss_dice: 0.7834, decode.d7.loss_cls: 0.3061, decode.d7.loss_mask: 0.5257, decode.d7.loss_dice: 0.7842, decode.d8.loss_cls: 0.3059, decode.d8.loss_mask: 0.5260, decode.d8.loss_dice: 0.7830, loss: 17.6741, grad_norm: 71.2333 2023-11-22 09:23:15,401 - mmseg - INFO - Iter [74400/160000] lr: 5.096e-06, eta: 13:57:21, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2832, decode.loss_mask: 0.5551, decode.loss_dice: 0.7815, decode.d0.loss_cls: 1.4179, decode.d0.loss_mask: 0.5924, decode.d0.loss_dice: 0.8757, decode.d1.loss_cls: 0.3767, decode.d1.loss_mask: 0.5771, decode.d1.loss_dice: 0.8277, decode.d2.loss_cls: 0.3181, decode.d2.loss_mask: 0.5662, decode.d2.loss_dice: 0.8149, decode.d3.loss_cls: 0.2998, decode.d3.loss_mask: 0.5639, decode.d3.loss_dice: 0.7908, decode.d4.loss_cls: 0.2989, decode.d4.loss_mask: 0.5609, decode.d4.loss_dice: 0.7915, decode.d5.loss_cls: 0.2933, decode.d5.loss_mask: 0.5607, decode.d5.loss_dice: 0.7924, decode.d6.loss_cls: 0.2899, decode.d6.loss_mask: 0.5598, decode.d6.loss_dice: 0.7810, decode.d7.loss_cls: 0.2834, decode.d7.loss_mask: 0.5580, decode.d7.loss_dice: 0.7818, decode.d8.loss_cls: 0.2826, decode.d8.loss_mask: 0.5600, decode.d8.loss_dice: 0.7842, loss: 17.8196, grad_norm: 76.4686 2023-11-22 09:23:43,907 - mmseg - INFO - Iter [74450/160000] lr: 5.093e-06, eta: 13:56:51, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2836, decode.loss_mask: 0.5141, decode.loss_dice: 0.7654, decode.d0.loss_cls: 1.4339, decode.d0.loss_mask: 0.5517, decode.d0.loss_dice: 0.8656, decode.d1.loss_cls: 0.3845, decode.d1.loss_mask: 0.5338, decode.d1.loss_dice: 0.8123, decode.d2.loss_cls: 0.3252, decode.d2.loss_mask: 0.5251, decode.d2.loss_dice: 0.7880, decode.d3.loss_cls: 0.3126, decode.d3.loss_mask: 0.5176, decode.d3.loss_dice: 0.7700, decode.d4.loss_cls: 0.2941, decode.d4.loss_mask: 0.5166, decode.d4.loss_dice: 0.7720, decode.d5.loss_cls: 0.2956, decode.d5.loss_mask: 0.5174, decode.d5.loss_dice: 0.7743, decode.d6.loss_cls: 0.2896, decode.d6.loss_mask: 0.5153, decode.d6.loss_dice: 0.7629, decode.d7.loss_cls: 0.2897, decode.d7.loss_mask: 0.5133, decode.d7.loss_dice: 0.7652, decode.d8.loss_cls: 0.2847, decode.d8.loss_mask: 0.5156, decode.d8.loss_dice: 0.7685, loss: 17.2581, grad_norm: 70.8614 2023-11-22 09:24:12,325 - mmseg - INFO - Iter [74500/160000] lr: 5.090e-06, eta: 13:56:20, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2789, decode.loss_mask: 0.4981, decode.loss_dice: 0.7604, decode.d0.loss_cls: 1.4137, decode.d0.loss_mask: 0.5322, decode.d0.loss_dice: 0.8454, decode.d1.loss_cls: 0.3765, decode.d1.loss_mask: 0.5190, decode.d1.loss_dice: 0.7961, decode.d2.loss_cls: 0.3169, decode.d2.loss_mask: 0.5078, decode.d2.loss_dice: 0.7823, decode.d3.loss_cls: 0.3020, decode.d3.loss_mask: 0.5010, decode.d3.loss_dice: 0.7705, decode.d4.loss_cls: 0.2944, decode.d4.loss_mask: 0.4972, decode.d4.loss_dice: 0.7644, decode.d5.loss_cls: 0.2875, decode.d5.loss_mask: 0.4972, decode.d5.loss_dice: 0.7630, decode.d6.loss_cls: 0.2814, decode.d6.loss_mask: 0.4994, decode.d6.loss_dice: 0.7558, decode.d7.loss_cls: 0.2838, decode.d7.loss_mask: 0.4994, decode.d7.loss_dice: 0.7602, decode.d8.loss_cls: 0.2842, decode.d8.loss_mask: 0.4983, decode.d8.loss_dice: 0.7603, loss: 16.9273, grad_norm: 70.3426 2023-11-22 09:24:43,029 - mmseg - INFO - Iter [74550/160000] lr: 5.087e-06, eta: 13:55:52, time: 0.614, data_time: 0.059, memory: 38143, decode.loss_cls: 0.2562, decode.loss_mask: 0.5238, decode.loss_dice: 0.7751, decode.d0.loss_cls: 1.3754, decode.d0.loss_mask: 0.5554, decode.d0.loss_dice: 0.8579, decode.d1.loss_cls: 0.3440, decode.d1.loss_mask: 0.5390, decode.d1.loss_dice: 0.8145, decode.d2.loss_cls: 0.2898, decode.d2.loss_mask: 0.5308, decode.d2.loss_dice: 0.7932, decode.d3.loss_cls: 0.2710, decode.d3.loss_mask: 0.5257, decode.d3.loss_dice: 0.7795, decode.d4.loss_cls: 0.2658, decode.d4.loss_mask: 0.5250, decode.d4.loss_dice: 0.7806, decode.d5.loss_cls: 0.2563, decode.d5.loss_mask: 0.5266, decode.d5.loss_dice: 0.7809, decode.d6.loss_cls: 0.2578, decode.d6.loss_mask: 0.5238, decode.d6.loss_dice: 0.7770, decode.d7.loss_cls: 0.2555, decode.d7.loss_mask: 0.5226, decode.d7.loss_dice: 0.7762, decode.d8.loss_cls: 0.2591, decode.d8.loss_mask: 0.5228, decode.d8.loss_dice: 0.7803, loss: 17.0418, grad_norm: 70.5797 2023-11-22 09:25:11,742 - mmseg - INFO - Iter [74600/160000] lr: 5.084e-06, eta: 13:55:22, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2845, decode.loss_mask: 0.4933, decode.loss_dice: 0.7440, decode.d0.loss_cls: 1.4446, decode.d0.loss_mask: 0.5264, decode.d0.loss_dice: 0.8443, decode.d1.loss_cls: 0.3814, decode.d1.loss_mask: 0.5127, decode.d1.loss_dice: 0.7882, decode.d2.loss_cls: 0.3187, decode.d2.loss_mask: 0.4999, decode.d2.loss_dice: 0.7679, decode.d3.loss_cls: 0.3002, decode.d3.loss_mask: 0.4928, decode.d3.loss_dice: 0.7499, decode.d4.loss_cls: 0.2904, decode.d4.loss_mask: 0.4938, decode.d4.loss_dice: 0.7502, decode.d5.loss_cls: 0.2947, decode.d5.loss_mask: 0.4932, decode.d5.loss_dice: 0.7501, decode.d6.loss_cls: 0.2850, decode.d6.loss_mask: 0.4935, decode.d6.loss_dice: 0.7450, decode.d7.loss_cls: 0.2796, decode.d7.loss_mask: 0.4943, decode.d7.loss_dice: 0.7463, decode.d8.loss_cls: 0.2792, decode.d8.loss_mask: 0.4934, decode.d8.loss_dice: 0.7521, loss: 16.7895, grad_norm: 67.9507 2023-11-22 09:25:40,373 - mmseg - INFO - Iter [74650/160000] lr: 5.081e-06, eta: 13:54:52, time: 0.574, data_time: 0.015, memory: 38143, decode.loss_cls: 0.2877, decode.loss_mask: 0.5035, decode.loss_dice: 0.7472, decode.d0.loss_cls: 1.4063, decode.d0.loss_mask: 0.5402, decode.d0.loss_dice: 0.8520, decode.d1.loss_cls: 0.3690, decode.d1.loss_mask: 0.5260, decode.d1.loss_dice: 0.7975, decode.d2.loss_cls: 0.3222, decode.d2.loss_mask: 0.5114, decode.d2.loss_dice: 0.7670, decode.d3.loss_cls: 0.3057, decode.d3.loss_mask: 0.5051, decode.d3.loss_dice: 0.7574, decode.d4.loss_cls: 0.2935, decode.d4.loss_mask: 0.5073, decode.d4.loss_dice: 0.7577, decode.d5.loss_cls: 0.2922, decode.d5.loss_mask: 0.5049, decode.d5.loss_dice: 0.7569, decode.d6.loss_cls: 0.2898, decode.d6.loss_mask: 0.5032, decode.d6.loss_dice: 0.7468, decode.d7.loss_cls: 0.2853, decode.d7.loss_mask: 0.5043, decode.d7.loss_dice: 0.7517, decode.d8.loss_cls: 0.2934, decode.d8.loss_mask: 0.5024, decode.d8.loss_dice: 0.7502, loss: 16.9377, grad_norm: 68.2954 2023-11-22 09:26:08,805 - mmseg - INFO - Iter [74700/160000] lr: 5.078e-06, eta: 13:54:22, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2849, decode.loss_mask: 0.5186, decode.loss_dice: 0.7949, decode.d0.loss_cls: 1.4034, decode.d0.loss_mask: 0.5581, decode.d0.loss_dice: 0.8768, decode.d1.loss_cls: 0.3800, decode.d1.loss_mask: 0.5395, decode.d1.loss_dice: 0.8433, decode.d2.loss_cls: 0.3262, decode.d2.loss_mask: 0.5269, decode.d2.loss_dice: 0.8192, decode.d3.loss_cls: 0.3023, decode.d3.loss_mask: 0.5259, decode.d3.loss_dice: 0.7976, decode.d4.loss_cls: 0.2961, decode.d4.loss_mask: 0.5251, decode.d4.loss_dice: 0.8034, decode.d5.loss_cls: 0.2925, decode.d5.loss_mask: 0.5220, decode.d5.loss_dice: 0.7979, decode.d6.loss_cls: 0.2868, decode.d6.loss_mask: 0.5205, decode.d6.loss_dice: 0.7974, decode.d7.loss_cls: 0.2825, decode.d7.loss_mask: 0.5202, decode.d7.loss_dice: 0.7960, decode.d8.loss_cls: 0.2787, decode.d8.loss_mask: 0.5206, decode.d8.loss_dice: 0.7961, loss: 17.5333, grad_norm: 70.0074 2023-11-22 09:26:37,443 - mmseg - INFO - Iter [74750/160000] lr: 5.075e-06, eta: 13:53:52, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2952, decode.loss_mask: 0.5040, decode.loss_dice: 0.7728, decode.d0.loss_cls: 1.4410, decode.d0.loss_mask: 0.5395, decode.d0.loss_dice: 0.8795, decode.d1.loss_cls: 0.3903, decode.d1.loss_mask: 0.5245, decode.d1.loss_dice: 0.8222, decode.d2.loss_cls: 0.3366, decode.d2.loss_mask: 0.5140, decode.d2.loss_dice: 0.8028, decode.d3.loss_cls: 0.3149, decode.d3.loss_mask: 0.5100, decode.d3.loss_dice: 0.7842, decode.d4.loss_cls: 0.3082, decode.d4.loss_mask: 0.5109, decode.d4.loss_dice: 0.7801, decode.d5.loss_cls: 0.3126, decode.d5.loss_mask: 0.5089, decode.d5.loss_dice: 0.7797, decode.d6.loss_cls: 0.2988, decode.d6.loss_mask: 0.5044, decode.d6.loss_dice: 0.7746, decode.d7.loss_cls: 0.2967, decode.d7.loss_mask: 0.5027, decode.d7.loss_dice: 0.7747, decode.d8.loss_cls: 0.2944, decode.d8.loss_mask: 0.5045, decode.d8.loss_dice: 0.7793, loss: 17.3620, grad_norm: 73.7685 2023-11-22 09:27:05,884 - mmseg - INFO - Iter [74800/160000] lr: 5.072e-06, eta: 13:53:21, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2873, decode.loss_mask: 0.5099, decode.loss_dice: 0.7599, decode.d0.loss_cls: 1.3868, decode.d0.loss_mask: 0.5420, decode.d0.loss_dice: 0.8639, decode.d1.loss_cls: 0.3703, decode.d1.loss_mask: 0.5316, decode.d1.loss_dice: 0.8110, decode.d2.loss_cls: 0.3259, decode.d2.loss_mask: 0.5212, decode.d2.loss_dice: 0.7842, decode.d3.loss_cls: 0.3084, decode.d3.loss_mask: 0.5164, decode.d3.loss_dice: 0.7660, decode.d4.loss_cls: 0.3009, decode.d4.loss_mask: 0.5163, decode.d4.loss_dice: 0.7674, decode.d5.loss_cls: 0.2908, decode.d5.loss_mask: 0.5144, decode.d5.loss_dice: 0.7697, decode.d6.loss_cls: 0.2932, decode.d6.loss_mask: 0.5102, decode.d6.loss_dice: 0.7583, decode.d7.loss_cls: 0.2898, decode.d7.loss_mask: 0.5112, decode.d7.loss_dice: 0.7573, decode.d8.loss_cls: 0.2878, decode.d8.loss_mask: 0.5117, decode.d8.loss_dice: 0.7577, loss: 17.1215, grad_norm: 78.0531 2023-11-22 09:27:34,293 - mmseg - INFO - Iter [74850/160000] lr: 5.069e-06, eta: 13:52:51, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3128, decode.loss_mask: 0.5188, decode.loss_dice: 0.7824, decode.d0.loss_cls: 1.4711, decode.d0.loss_mask: 0.5602, decode.d0.loss_dice: 0.8906, decode.d1.loss_cls: 0.4070, decode.d1.loss_mask: 0.5402, decode.d1.loss_dice: 0.8320, decode.d2.loss_cls: 0.3531, decode.d2.loss_mask: 0.5272, decode.d2.loss_dice: 0.8086, decode.d3.loss_cls: 0.3313, decode.d3.loss_mask: 0.5216, decode.d3.loss_dice: 0.7869, decode.d4.loss_cls: 0.3215, decode.d4.loss_mask: 0.5215, decode.d4.loss_dice: 0.7893, decode.d5.loss_cls: 0.3219, decode.d5.loss_mask: 0.5206, decode.d5.loss_dice: 0.7876, decode.d6.loss_cls: 0.3169, decode.d6.loss_mask: 0.5198, decode.d6.loss_dice: 0.7802, decode.d7.loss_cls: 0.3140, decode.d7.loss_mask: 0.5220, decode.d7.loss_dice: 0.7818, decode.d8.loss_cls: 0.3108, decode.d8.loss_mask: 0.5181, decode.d8.loss_dice: 0.7810, loss: 17.7509, grad_norm: 71.6139 2023-11-22 09:28:02,854 - mmseg - INFO - Iter [74900/160000] lr: 5.066e-06, eta: 13:52:20, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2901, decode.loss_mask: 0.5287, decode.loss_dice: 0.7741, decode.d0.loss_cls: 1.4203, decode.d0.loss_mask: 0.5717, decode.d0.loss_dice: 0.8748, decode.d1.loss_cls: 0.3750, decode.d1.loss_mask: 0.5491, decode.d1.loss_dice: 0.8154, decode.d2.loss_cls: 0.3264, decode.d2.loss_mask: 0.5394, decode.d2.loss_dice: 0.7962, decode.d3.loss_cls: 0.3074, decode.d3.loss_mask: 0.5304, decode.d3.loss_dice: 0.7803, decode.d4.loss_cls: 0.2990, decode.d4.loss_mask: 0.5308, decode.d4.loss_dice: 0.7822, decode.d5.loss_cls: 0.2929, decode.d5.loss_mask: 0.5284, decode.d5.loss_dice: 0.7755, decode.d6.loss_cls: 0.2897, decode.d6.loss_mask: 0.5316, decode.d6.loss_dice: 0.7776, decode.d7.loss_cls: 0.2877, decode.d7.loss_mask: 0.5299, decode.d7.loss_dice: 0.7720, decode.d8.loss_cls: 0.2878, decode.d8.loss_mask: 0.5278, decode.d8.loss_dice: 0.7738, loss: 17.4660, grad_norm: 79.8755 2023-11-22 09:28:31,361 - mmseg - INFO - Iter [74950/160000] lr: 5.063e-06, eta: 13:51:50, time: 0.572, data_time: 0.015, memory: 38143, decode.loss_cls: 0.2695, decode.loss_mask: 0.5187, decode.loss_dice: 0.7594, decode.d0.loss_cls: 1.3729, decode.d0.loss_mask: 0.5488, decode.d0.loss_dice: 0.8541, decode.d1.loss_cls: 0.3530, decode.d1.loss_mask: 0.5374, decode.d1.loss_dice: 0.8042, decode.d2.loss_cls: 0.3106, decode.d2.loss_mask: 0.5235, decode.d2.loss_dice: 0.7852, decode.d3.loss_cls: 0.2882, decode.d3.loss_mask: 0.5218, decode.d3.loss_dice: 0.7674, decode.d4.loss_cls: 0.2795, decode.d4.loss_mask: 0.5222, decode.d4.loss_dice: 0.7707, decode.d5.loss_cls: 0.2749, decode.d5.loss_mask: 0.5222, decode.d5.loss_dice: 0.7704, decode.d6.loss_cls: 0.2712, decode.d6.loss_mask: 0.5177, decode.d6.loss_dice: 0.7653, decode.d7.loss_cls: 0.2657, decode.d7.loss_mask: 0.5190, decode.d7.loss_dice: 0.7639, decode.d8.loss_cls: 0.2700, decode.d8.loss_mask: 0.5205, decode.d8.loss_dice: 0.7627, loss: 17.0108, grad_norm: 70.1179 2023-11-22 09:28:59,728 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 09:28:59,728 - mmseg - INFO - Iter [75000/160000] lr: 5.060e-06, eta: 13:51:20, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2852, decode.loss_mask: 0.5319, decode.loss_dice: 0.7782, decode.d0.loss_cls: 1.4149, decode.d0.loss_mask: 0.5719, decode.d0.loss_dice: 0.8786, decode.d1.loss_cls: 0.3706, decode.d1.loss_mask: 0.5489, decode.d1.loss_dice: 0.8268, decode.d2.loss_cls: 0.3243, decode.d2.loss_mask: 0.5408, decode.d2.loss_dice: 0.8014, decode.d3.loss_cls: 0.3060, decode.d3.loss_mask: 0.5336, decode.d3.loss_dice: 0.7785, decode.d4.loss_cls: 0.3004, decode.d4.loss_mask: 0.5308, decode.d4.loss_dice: 0.7755, decode.d5.loss_cls: 0.2991, decode.d5.loss_mask: 0.5311, decode.d5.loss_dice: 0.7723, decode.d6.loss_cls: 0.2890, decode.d6.loss_mask: 0.5319, decode.d6.loss_dice: 0.7760, decode.d7.loss_cls: 0.2888, decode.d7.loss_mask: 0.5304, decode.d7.loss_dice: 0.7738, decode.d8.loss_cls: 0.2866, decode.d8.loss_mask: 0.5324, decode.d8.loss_dice: 0.7810, loss: 17.4907, grad_norm: 73.1084 2023-11-22 09:29:28,191 - mmseg - INFO - Iter [75050/160000] lr: 5.057e-06, eta: 13:50:49, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2865, decode.loss_mask: 0.5270, decode.loss_dice: 0.7663, decode.d0.loss_cls: 1.3811, decode.d0.loss_mask: 0.5565, decode.d0.loss_dice: 0.8655, decode.d1.loss_cls: 0.3877, decode.d1.loss_mask: 0.5434, decode.d1.loss_dice: 0.8054, decode.d2.loss_cls: 0.3216, decode.d2.loss_mask: 0.5336, decode.d2.loss_dice: 0.7909, decode.d3.loss_cls: 0.3013, decode.d3.loss_mask: 0.5299, decode.d3.loss_dice: 0.7766, decode.d4.loss_cls: 0.2984, decode.d4.loss_mask: 0.5261, decode.d4.loss_dice: 0.7725, decode.d5.loss_cls: 0.2885, decode.d5.loss_mask: 0.5256, decode.d5.loss_dice: 0.7693, decode.d6.loss_cls: 0.2879, decode.d6.loss_mask: 0.5248, decode.d6.loss_dice: 0.7658, decode.d7.loss_cls: 0.2855, decode.d7.loss_mask: 0.5244, decode.d7.loss_dice: 0.7648, decode.d8.loss_cls: 0.2832, decode.d8.loss_mask: 0.5262, decode.d8.loss_dice: 0.7694, loss: 17.2859, grad_norm: 75.7180 2023-11-22 09:29:56,499 - mmseg - INFO - Iter [75100/160000] lr: 5.054e-06, eta: 13:50:19, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2963, decode.loss_mask: 0.5390, decode.loss_dice: 0.7831, decode.d0.loss_cls: 1.4173, decode.d0.loss_mask: 0.5737, decode.d0.loss_dice: 0.8846, decode.d1.loss_cls: 0.3841, decode.d1.loss_mask: 0.5602, decode.d1.loss_dice: 0.8339, decode.d2.loss_cls: 0.3419, decode.d2.loss_mask: 0.5454, decode.d2.loss_dice: 0.8064, decode.d3.loss_cls: 0.3133, decode.d3.loss_mask: 0.5412, decode.d3.loss_dice: 0.7901, decode.d4.loss_cls: 0.3092, decode.d4.loss_mask: 0.5432, decode.d4.loss_dice: 0.7883, decode.d5.loss_cls: 0.2995, decode.d5.loss_mask: 0.5438, decode.d5.loss_dice: 0.7869, decode.d6.loss_cls: 0.3002, decode.d6.loss_mask: 0.5398, decode.d6.loss_dice: 0.7862, decode.d7.loss_cls: 0.2995, decode.d7.loss_mask: 0.5399, decode.d7.loss_dice: 0.7826, decode.d8.loss_cls: 0.2943, decode.d8.loss_mask: 0.5365, decode.d8.loss_dice: 0.7824, loss: 17.7429, grad_norm: 73.6376 2023-11-22 09:30:24,940 - mmseg - INFO - Iter [75150/160000] lr: 5.051e-06, eta: 13:49:49, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2747, decode.loss_mask: 0.5247, decode.loss_dice: 0.7658, decode.d0.loss_cls: 1.4152, decode.d0.loss_mask: 0.5646, decode.d0.loss_dice: 0.8693, decode.d1.loss_cls: 0.3700, decode.d1.loss_mask: 0.5447, decode.d1.loss_dice: 0.8084, decode.d2.loss_cls: 0.3216, decode.d2.loss_mask: 0.5342, decode.d2.loss_dice: 0.7859, decode.d3.loss_cls: 0.2936, decode.d3.loss_mask: 0.5291, decode.d3.loss_dice: 0.7708, decode.d4.loss_cls: 0.2860, decode.d4.loss_mask: 0.5270, decode.d4.loss_dice: 0.7658, decode.d5.loss_cls: 0.2834, decode.d5.loss_mask: 0.5242, decode.d5.loss_dice: 0.7665, decode.d6.loss_cls: 0.2780, decode.d6.loss_mask: 0.5255, decode.d6.loss_dice: 0.7618, decode.d7.loss_cls: 0.2752, decode.d7.loss_mask: 0.5248, decode.d7.loss_dice: 0.7691, decode.d8.loss_cls: 0.2777, decode.d8.loss_mask: 0.5253, decode.d8.loss_dice: 0.7641, loss: 17.2267, grad_norm: 72.8455 2023-11-22 09:30:53,624 - mmseg - INFO - Iter [75200/160000] lr: 5.048e-06, eta: 13:49:19, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2895, decode.loss_mask: 0.5008, decode.loss_dice: 0.7382, decode.d0.loss_cls: 1.3904, decode.d0.loss_mask: 0.5350, decode.d0.loss_dice: 0.8421, decode.d1.loss_cls: 0.3714, decode.d1.loss_mask: 0.5214, decode.d1.loss_dice: 0.7776, decode.d2.loss_cls: 0.3235, decode.d2.loss_mask: 0.5085, decode.d2.loss_dice: 0.7565, decode.d3.loss_cls: 0.3075, decode.d3.loss_mask: 0.5035, decode.d3.loss_dice: 0.7401, decode.d4.loss_cls: 0.2979, decode.d4.loss_mask: 0.5032, decode.d4.loss_dice: 0.7440, decode.d5.loss_cls: 0.2910, decode.d5.loss_mask: 0.5024, decode.d5.loss_dice: 0.7438, decode.d6.loss_cls: 0.2892, decode.d6.loss_mask: 0.5024, decode.d6.loss_dice: 0.7379, decode.d7.loss_cls: 0.2854, decode.d7.loss_mask: 0.5051, decode.d7.loss_dice: 0.7420, decode.d8.loss_cls: 0.2885, decode.d8.loss_mask: 0.5008, decode.d8.loss_dice: 0.7381, loss: 16.7775, grad_norm: 68.7465 2023-11-22 09:31:22,108 - mmseg - INFO - Iter [75250/160000] lr: 5.045e-06, eta: 13:48:48, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2901, decode.loss_mask: 0.5163, decode.loss_dice: 0.7786, decode.d0.loss_cls: 1.4102, decode.d0.loss_mask: 0.5511, decode.d0.loss_dice: 0.8697, decode.d1.loss_cls: 0.3783, decode.d1.loss_mask: 0.5391, decode.d1.loss_dice: 0.8220, decode.d2.loss_cls: 0.3191, decode.d2.loss_mask: 0.5258, decode.d2.loss_dice: 0.7950, decode.d3.loss_cls: 0.3007, decode.d3.loss_mask: 0.5241, decode.d3.loss_dice: 0.7836, decode.d4.loss_cls: 0.2939, decode.d4.loss_mask: 0.5215, decode.d4.loss_dice: 0.7815, decode.d5.loss_cls: 0.3020, decode.d5.loss_mask: 0.5182, decode.d5.loss_dice: 0.7811, decode.d6.loss_cls: 0.2939, decode.d6.loss_mask: 0.5174, decode.d6.loss_dice: 0.7771, decode.d7.loss_cls: 0.2898, decode.d7.loss_mask: 0.5162, decode.d7.loss_dice: 0.7818, decode.d8.loss_cls: 0.2928, decode.d8.loss_mask: 0.5162, decode.d8.loss_dice: 0.7753, loss: 17.3624, grad_norm: 69.1074 2023-11-22 09:31:50,475 - mmseg - INFO - Iter [75300/160000] lr: 5.042e-06, eta: 13:48:18, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2830, decode.loss_mask: 0.5198, decode.loss_dice: 0.7597, decode.d0.loss_cls: 1.4183, decode.d0.loss_mask: 0.5582, decode.d0.loss_dice: 0.8617, decode.d1.loss_cls: 0.3695, decode.d1.loss_mask: 0.5429, decode.d1.loss_dice: 0.8054, decode.d2.loss_cls: 0.3216, decode.d2.loss_mask: 0.5307, decode.d2.loss_dice: 0.7867, decode.d3.loss_cls: 0.3085, decode.d3.loss_mask: 0.5226, decode.d3.loss_dice: 0.7668, decode.d4.loss_cls: 0.2965, decode.d4.loss_mask: 0.5207, decode.d4.loss_dice: 0.7689, decode.d5.loss_cls: 0.2938, decode.d5.loss_mask: 0.5234, decode.d5.loss_dice: 0.7674, decode.d6.loss_cls: 0.2926, decode.d6.loss_mask: 0.5208, decode.d6.loss_dice: 0.7676, decode.d7.loss_cls: 0.2844, decode.d7.loss_mask: 0.5208, decode.d7.loss_dice: 0.7635, decode.d8.loss_cls: 0.2829, decode.d8.loss_mask: 0.5215, decode.d8.loss_dice: 0.7674, loss: 17.2476, grad_norm: 76.0166 2023-11-22 09:32:18,998 - mmseg - INFO - Iter [75350/160000] lr: 5.039e-06, eta: 13:47:48, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3008, decode.loss_mask: 0.5272, decode.loss_dice: 0.7934, decode.d0.loss_cls: 1.4622, decode.d0.loss_mask: 0.5570, decode.d0.loss_dice: 0.8843, decode.d1.loss_cls: 0.3908, decode.d1.loss_mask: 0.5502, decode.d1.loss_dice: 0.8414, decode.d2.loss_cls: 0.3388, decode.d2.loss_mask: 0.5362, decode.d2.loss_dice: 0.8250, decode.d3.loss_cls: 0.3163, decode.d3.loss_mask: 0.5323, decode.d3.loss_dice: 0.8018, decode.d4.loss_cls: 0.3138, decode.d4.loss_mask: 0.5300, decode.d4.loss_dice: 0.8016, decode.d5.loss_cls: 0.3087, decode.d5.loss_mask: 0.5290, decode.d5.loss_dice: 0.7986, decode.d6.loss_cls: 0.3077, decode.d6.loss_mask: 0.5261, decode.d6.loss_dice: 0.7929, decode.d7.loss_cls: 0.3045, decode.d7.loss_mask: 0.5261, decode.d7.loss_dice: 0.7953, decode.d8.loss_cls: 0.2989, decode.d8.loss_mask: 0.5275, decode.d8.loss_dice: 0.8011, loss: 17.8195, grad_norm: 71.4541 2023-11-22 09:32:47,345 - mmseg - INFO - Iter [75400/160000] lr: 5.036e-06, eta: 13:47:17, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3040, decode.loss_mask: 0.5151, decode.loss_dice: 0.7511, decode.d0.loss_cls: 1.4101, decode.d0.loss_mask: 0.5525, decode.d0.loss_dice: 0.8511, decode.d1.loss_cls: 0.3875, decode.d1.loss_mask: 0.5414, decode.d1.loss_dice: 0.8078, decode.d2.loss_cls: 0.3378, decode.d2.loss_mask: 0.5284, decode.d2.loss_dice: 0.7813, decode.d3.loss_cls: 0.3197, decode.d3.loss_mask: 0.5238, decode.d3.loss_dice: 0.7626, decode.d4.loss_cls: 0.3122, decode.d4.loss_mask: 0.5196, decode.d4.loss_dice: 0.7607, decode.d5.loss_cls: 0.3065, decode.d5.loss_mask: 0.5187, decode.d5.loss_dice: 0.7618, decode.d6.loss_cls: 0.3036, decode.d6.loss_mask: 0.5201, decode.d6.loss_dice: 0.7564, decode.d7.loss_cls: 0.3050, decode.d7.loss_mask: 0.5187, decode.d7.loss_dice: 0.7496, decode.d8.loss_cls: 0.3059, decode.d8.loss_mask: 0.5158, decode.d8.loss_dice: 0.7485, loss: 17.2771, grad_norm: 72.7547 2023-11-22 09:33:15,681 - mmseg - INFO - Iter [75450/160000] lr: 5.033e-06, eta: 13:46:47, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3082, decode.loss_mask: 0.5388, decode.loss_dice: 0.7889, decode.d0.loss_cls: 1.4626, decode.d0.loss_mask: 0.5794, decode.d0.loss_dice: 0.8968, decode.d1.loss_cls: 0.3970, decode.d1.loss_mask: 0.5634, decode.d1.loss_dice: 0.8405, decode.d2.loss_cls: 0.3409, decode.d2.loss_mask: 0.5506, decode.d2.loss_dice: 0.8136, decode.d3.loss_cls: 0.3210, decode.d3.loss_mask: 0.5438, decode.d3.loss_dice: 0.8026, decode.d4.loss_cls: 0.3209, decode.d4.loss_mask: 0.5395, decode.d4.loss_dice: 0.7989, decode.d5.loss_cls: 0.3082, decode.d5.loss_mask: 0.5395, decode.d5.loss_dice: 0.8004, decode.d6.loss_cls: 0.3117, decode.d6.loss_mask: 0.5420, decode.d6.loss_dice: 0.7944, decode.d7.loss_cls: 0.3105, decode.d7.loss_mask: 0.5402, decode.d7.loss_dice: 0.7930, decode.d8.loss_cls: 0.3083, decode.d8.loss_mask: 0.5392, decode.d8.loss_dice: 0.7916, loss: 17.9864, grad_norm: 75.1854 2023-11-22 09:33:44,367 - mmseg - INFO - Iter [75500/160000] lr: 5.030e-06, eta: 13:46:17, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2927, decode.loss_mask: 0.5326, decode.loss_dice: 0.7677, decode.d0.loss_cls: 1.3905, decode.d0.loss_mask: 0.5678, decode.d0.loss_dice: 0.8612, decode.d1.loss_cls: 0.3864, decode.d1.loss_mask: 0.5544, decode.d1.loss_dice: 0.8081, decode.d2.loss_cls: 0.3298, decode.d2.loss_mask: 0.5414, decode.d2.loss_dice: 0.7889, decode.d3.loss_cls: 0.3113, decode.d3.loss_mask: 0.5349, decode.d3.loss_dice: 0.7682, decode.d4.loss_cls: 0.3064, decode.d4.loss_mask: 0.5347, decode.d4.loss_dice: 0.7678, decode.d5.loss_cls: 0.3021, decode.d5.loss_mask: 0.5330, decode.d5.loss_dice: 0.7683, decode.d6.loss_cls: 0.2976, decode.d6.loss_mask: 0.5343, decode.d6.loss_dice: 0.7684, decode.d7.loss_cls: 0.2960, decode.d7.loss_mask: 0.5330, decode.d7.loss_dice: 0.7712, decode.d8.loss_cls: 0.2974, decode.d8.loss_mask: 0.5325, decode.d8.loss_dice: 0.7664, loss: 17.4448, grad_norm: 75.8075 2023-11-22 09:34:12,850 - mmseg - INFO - Iter [75550/160000] lr: 5.027e-06, eta: 13:45:46, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2880, decode.loss_mask: 0.5271, decode.loss_dice: 0.7565, decode.d0.loss_cls: 1.3922, decode.d0.loss_mask: 0.5655, decode.d0.loss_dice: 0.8502, decode.d1.loss_cls: 0.3670, decode.d1.loss_mask: 0.5450, decode.d1.loss_dice: 0.8086, decode.d2.loss_cls: 0.3239, decode.d2.loss_mask: 0.5355, decode.d2.loss_dice: 0.7762, decode.d3.loss_cls: 0.3092, decode.d3.loss_mask: 0.5290, decode.d3.loss_dice: 0.7569, decode.d4.loss_cls: 0.2986, decode.d4.loss_mask: 0.5315, decode.d4.loss_dice: 0.7647, decode.d5.loss_cls: 0.2952, decode.d5.loss_mask: 0.5289, decode.d5.loss_dice: 0.7566, decode.d6.loss_cls: 0.2920, decode.d6.loss_mask: 0.5265, decode.d6.loss_dice: 0.7567, decode.d7.loss_cls: 0.2937, decode.d7.loss_mask: 0.5274, decode.d7.loss_dice: 0.7553, decode.d8.loss_cls: 0.2906, decode.d8.loss_mask: 0.5274, decode.d8.loss_dice: 0.7563, loss: 17.2325, grad_norm: 69.7038 2023-11-22 09:34:41,125 - mmseg - INFO - Iter [75600/160000] lr: 5.024e-06, eta: 13:45:16, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2940, decode.loss_mask: 0.5156, decode.loss_dice: 0.7792, decode.d0.loss_cls: 1.3725, decode.d0.loss_mask: 0.5558, decode.d0.loss_dice: 0.8785, decode.d1.loss_cls: 0.3810, decode.d1.loss_mask: 0.5377, decode.d1.loss_dice: 0.8266, decode.d2.loss_cls: 0.3278, decode.d2.loss_mask: 0.5244, decode.d2.loss_dice: 0.7992, decode.d3.loss_cls: 0.3047, decode.d3.loss_mask: 0.5207, decode.d3.loss_dice: 0.7802, decode.d4.loss_cls: 0.2981, decode.d4.loss_mask: 0.5188, decode.d4.loss_dice: 0.7880, decode.d5.loss_cls: 0.2964, decode.d5.loss_mask: 0.5186, decode.d5.loss_dice: 0.7835, decode.d6.loss_cls: 0.2991, decode.d6.loss_mask: 0.5147, decode.d6.loss_dice: 0.7818, decode.d7.loss_cls: 0.2882, decode.d7.loss_mask: 0.5139, decode.d7.loss_dice: 0.7811, decode.d8.loss_cls: 0.2929, decode.d8.loss_mask: 0.5149, decode.d8.loss_dice: 0.7858, loss: 17.3739, grad_norm: 70.7539 2023-11-22 09:35:09,489 - mmseg - INFO - Iter [75650/160000] lr: 5.021e-06, eta: 13:44:45, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3091, decode.loss_mask: 0.5188, decode.loss_dice: 0.7925, decode.d0.loss_cls: 1.4187, decode.d0.loss_mask: 0.5572, decode.d0.loss_dice: 0.8842, decode.d1.loss_cls: 0.4058, decode.d1.loss_mask: 0.5378, decode.d1.loss_dice: 0.8399, decode.d2.loss_cls: 0.3538, decode.d2.loss_mask: 0.5253, decode.d2.loss_dice: 0.8128, decode.d3.loss_cls: 0.3312, decode.d3.loss_mask: 0.5215, decode.d3.loss_dice: 0.7995, decode.d4.loss_cls: 0.3257, decode.d4.loss_mask: 0.5197, decode.d4.loss_dice: 0.7973, decode.d5.loss_cls: 0.3144, decode.d5.loss_mask: 0.5203, decode.d5.loss_dice: 0.7998, decode.d6.loss_cls: 0.3104, decode.d6.loss_mask: 0.5202, decode.d6.loss_dice: 0.7931, decode.d7.loss_cls: 0.3088, decode.d7.loss_mask: 0.5192, decode.d7.loss_dice: 0.7948, decode.d8.loss_cls: 0.3111, decode.d8.loss_mask: 0.5173, decode.d8.loss_dice: 0.7961, loss: 17.7564, grad_norm: 72.3652 2023-11-22 09:35:37,830 - mmseg - INFO - Iter [75700/160000] lr: 5.018e-06, eta: 13:44:15, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2847, decode.loss_mask: 0.5320, decode.loss_dice: 0.7851, decode.d0.loss_cls: 1.3938, decode.d0.loss_mask: 0.5798, decode.d0.loss_dice: 0.8752, decode.d1.loss_cls: 0.3687, decode.d1.loss_mask: 0.5556, decode.d1.loss_dice: 0.8405, decode.d2.loss_cls: 0.3191, decode.d2.loss_mask: 0.5428, decode.d2.loss_dice: 0.8168, decode.d3.loss_cls: 0.2966, decode.d3.loss_mask: 0.5361, decode.d3.loss_dice: 0.8000, decode.d4.loss_cls: 0.2897, decode.d4.loss_mask: 0.5379, decode.d4.loss_dice: 0.7969, decode.d5.loss_cls: 0.2890, decode.d5.loss_mask: 0.5341, decode.d5.loss_dice: 0.7952, decode.d6.loss_cls: 0.2853, decode.d6.loss_mask: 0.5343, decode.d6.loss_dice: 0.7884, decode.d7.loss_cls: 0.2840, decode.d7.loss_mask: 0.5337, decode.d7.loss_dice: 0.7881, decode.d8.loss_cls: 0.2845, decode.d8.loss_mask: 0.5328, decode.d8.loss_dice: 0.7885, loss: 17.5893, grad_norm: 79.7525 2023-11-22 09:36:06,322 - mmseg - INFO - Iter [75750/160000] lr: 5.015e-06, eta: 13:43:45, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3012, decode.loss_mask: 0.5041, decode.loss_dice: 0.7682, decode.d0.loss_cls: 1.4339, decode.d0.loss_mask: 0.5412, decode.d0.loss_dice: 0.8717, decode.d1.loss_cls: 0.3821, decode.d1.loss_mask: 0.5244, decode.d1.loss_dice: 0.8170, decode.d2.loss_cls: 0.3303, decode.d2.loss_mask: 0.5136, decode.d2.loss_dice: 0.7939, decode.d3.loss_cls: 0.3105, decode.d3.loss_mask: 0.5097, decode.d3.loss_dice: 0.7807, decode.d4.loss_cls: 0.3051, decode.d4.loss_mask: 0.5090, decode.d4.loss_dice: 0.7754, decode.d5.loss_cls: 0.3038, decode.d5.loss_mask: 0.5044, decode.d5.loss_dice: 0.7699, decode.d6.loss_cls: 0.3019, decode.d6.loss_mask: 0.5043, decode.d6.loss_dice: 0.7644, decode.d7.loss_cls: 0.2944, decode.d7.loss_mask: 0.5064, decode.d7.loss_dice: 0.7678, decode.d8.loss_cls: 0.2985, decode.d8.loss_mask: 0.5042, decode.d8.loss_dice: 0.7707, loss: 17.2628, grad_norm: 72.1893 2023-11-22 09:36:37,530 - mmseg - INFO - Iter [75800/160000] lr: 5.013e-06, eta: 13:43:17, time: 0.624, data_time: 0.059, memory: 38143, decode.loss_cls: 0.2894, decode.loss_mask: 0.5060, decode.loss_dice: 0.7902, decode.d0.loss_cls: 1.4329, decode.d0.loss_mask: 0.5409, decode.d0.loss_dice: 0.8905, decode.d1.loss_cls: 0.3847, decode.d1.loss_mask: 0.5282, decode.d1.loss_dice: 0.8450, decode.d2.loss_cls: 0.3336, decode.d2.loss_mask: 0.5168, decode.d2.loss_dice: 0.8119, decode.d3.loss_cls: 0.3049, decode.d3.loss_mask: 0.5111, decode.d3.loss_dice: 0.7919, decode.d4.loss_cls: 0.3005, decode.d4.loss_mask: 0.5103, decode.d4.loss_dice: 0.7968, decode.d5.loss_cls: 0.3047, decode.d5.loss_mask: 0.5065, decode.d5.loss_dice: 0.7944, decode.d6.loss_cls: 0.2946, decode.d6.loss_mask: 0.5041, decode.d6.loss_dice: 0.7895, decode.d7.loss_cls: 0.2917, decode.d7.loss_mask: 0.5044, decode.d7.loss_dice: 0.7912, decode.d8.loss_cls: 0.2871, decode.d8.loss_mask: 0.5083, decode.d8.loss_dice: 0.7908, loss: 17.4527, grad_norm: 73.3257 2023-11-22 09:37:05,786 - mmseg - INFO - Iter [75850/160000] lr: 5.010e-06, eta: 13:42:47, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2886, decode.loss_mask: 0.5205, decode.loss_dice: 0.7759, decode.d0.loss_cls: 1.4193, decode.d0.loss_mask: 0.5584, decode.d0.loss_dice: 0.8679, decode.d1.loss_cls: 0.3781, decode.d1.loss_mask: 0.5411, decode.d1.loss_dice: 0.8177, decode.d2.loss_cls: 0.3254, decode.d2.loss_mask: 0.5301, decode.d2.loss_dice: 0.7954, decode.d3.loss_cls: 0.3056, decode.d3.loss_mask: 0.5246, decode.d3.loss_dice: 0.7751, decode.d4.loss_cls: 0.2944, decode.d4.loss_mask: 0.5231, decode.d4.loss_dice: 0.7795, decode.d5.loss_cls: 0.2923, decode.d5.loss_mask: 0.5237, decode.d5.loss_dice: 0.7787, decode.d6.loss_cls: 0.2925, decode.d6.loss_mask: 0.5206, decode.d6.loss_dice: 0.7758, decode.d7.loss_cls: 0.2861, decode.d7.loss_mask: 0.5195, decode.d7.loss_dice: 0.7759, decode.d8.loss_cls: 0.2857, decode.d8.loss_mask: 0.5201, decode.d8.loss_dice: 0.7773, loss: 17.3686, grad_norm: 69.8458 2023-11-22 09:37:34,006 - mmseg - INFO - Iter [75900/160000] lr: 5.007e-06, eta: 13:42:16, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2984, decode.loss_mask: 0.5343, decode.loss_dice: 0.7843, decode.d0.loss_cls: 1.4106, decode.d0.loss_mask: 0.5765, decode.d0.loss_dice: 0.8848, decode.d1.loss_cls: 0.3915, decode.d1.loss_mask: 0.5597, decode.d1.loss_dice: 0.8315, decode.d2.loss_cls: 0.3364, decode.d2.loss_mask: 0.5452, decode.d2.loss_dice: 0.8107, decode.d3.loss_cls: 0.3123, decode.d3.loss_mask: 0.5389, decode.d3.loss_dice: 0.7962, decode.d4.loss_cls: 0.3062, decode.d4.loss_mask: 0.5384, decode.d4.loss_dice: 0.7938, decode.d5.loss_cls: 0.2984, decode.d5.loss_mask: 0.5389, decode.d5.loss_dice: 0.7890, decode.d6.loss_cls: 0.2989, decode.d6.loss_mask: 0.5382, decode.d6.loss_dice: 0.7872, decode.d7.loss_cls: 0.2934, decode.d7.loss_mask: 0.5373, decode.d7.loss_dice: 0.7865, decode.d8.loss_cls: 0.2957, decode.d8.loss_mask: 0.5346, decode.d8.loss_dice: 0.7829, loss: 17.7305, grad_norm: 70.7806 2023-11-22 09:38:02,375 - mmseg - INFO - Iter [75950/160000] lr: 5.004e-06, eta: 13:41:46, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2822, decode.loss_mask: 0.5289, decode.loss_dice: 0.7871, decode.d0.loss_cls: 1.4088, decode.d0.loss_mask: 0.5687, decode.d0.loss_dice: 0.8889, decode.d1.loss_cls: 0.3751, decode.d1.loss_mask: 0.5513, decode.d1.loss_dice: 0.8286, decode.d2.loss_cls: 0.3218, decode.d2.loss_mask: 0.5376, decode.d2.loss_dice: 0.8079, decode.d3.loss_cls: 0.3011, decode.d3.loss_mask: 0.5328, decode.d3.loss_dice: 0.7963, decode.d4.loss_cls: 0.2904, decode.d4.loss_mask: 0.5304, decode.d4.loss_dice: 0.7907, decode.d5.loss_cls: 0.2889, decode.d5.loss_mask: 0.5289, decode.d5.loss_dice: 0.7925, decode.d6.loss_cls: 0.2841, decode.d6.loss_mask: 0.5268, decode.d6.loss_dice: 0.7844, decode.d7.loss_cls: 0.2851, decode.d7.loss_mask: 0.5257, decode.d7.loss_dice: 0.7864, decode.d8.loss_cls: 0.2876, decode.d8.loss_mask: 0.5277, decode.d8.loss_dice: 0.7891, loss: 17.5357, grad_norm: 67.8915 2023-11-22 09:38:30,791 - mmseg - INFO - Saving checkpoint at 76000 iterations 2023-11-22 09:38:38,753 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 09:38:38,754 - mmseg - INFO - Iter [76000/160000] lr: 5.001e-06, eta: 13:41:24, time: 0.728, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2838, decode.loss_mask: 0.5040, decode.loss_dice: 0.7716, decode.d0.loss_cls: 1.3862, decode.d0.loss_mask: 0.5448, decode.d0.loss_dice: 0.8627, decode.d1.loss_cls: 0.3717, decode.d1.loss_mask: 0.5308, decode.d1.loss_dice: 0.8209, decode.d2.loss_cls: 0.3175, decode.d2.loss_mask: 0.5132, decode.d2.loss_dice: 0.7976, decode.d3.loss_cls: 0.2994, decode.d3.loss_mask: 0.5098, decode.d3.loss_dice: 0.7754, decode.d4.loss_cls: 0.2975, decode.d4.loss_mask: 0.5105, decode.d4.loss_dice: 0.7762, decode.d5.loss_cls: 0.2882, decode.d5.loss_mask: 0.5093, decode.d5.loss_dice: 0.7755, decode.d6.loss_cls: 0.2842, decode.d6.loss_mask: 0.5083, decode.d6.loss_dice: 0.7730, decode.d7.loss_cls: 0.2844, decode.d7.loss_mask: 0.5071, decode.d7.loss_dice: 0.7721, decode.d8.loss_cls: 0.2836, decode.d8.loss_mask: 0.5044, decode.d8.loss_dice: 0.7688, loss: 17.1327, grad_norm: 70.2335 2023-11-22 09:38:58,150 - mmseg - INFO - per class results: 2023-11-22 09:38:58,155 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.5 | 87.69 | | building | 83.88 | 91.19 | | sky | 95.07 | 97.91 | | floor | 84.32 | 90.77 | | tree | 76.93 | 87.72 | | ceiling | 84.93 | 91.92 | | road | 86.52 | 92.26 | | bed | 91.22 | 94.6 | | windowpane | 63.97 | 80.19 | | grass | 73.51 | 88.28 | | cabinet | 61.41 | 72.83 | | sidewalk | 68.32 | 81.64 | | person | 86.29 | 93.44 | | earth | 40.48 | 57.98 | | door | 53.78 | 70.38 | | table | 69.24 | 80.74 | | mountain | 52.97 | 64.86 | | plant | 52.55 | 65.01 | | curtain | 77.43 | 89.4 | | chair | 68.3 | 79.72 | | car | 88.17 | 94.48 | | water | 59.65 | 72.64 | | painting | 76.18 | 89.27 | | sofa | 74.67 | 90.46 | | shelf | 42.7 | 55.84 | | house | 46.61 | 76.14 | | sea | 64.26 | 90.03 | | mirror | 70.12 | 82.1 | | rug | 69.02 | 83.71 | | field | 31.15 | 43.68 | | armchair | 54.08 | 72.5 | | seat | 65.61 | 84.1 | | fence | 53.53 | 69.99 | | desk | 52.37 | 79.87 | | rock | 43.76 | 58.95 | | wardrobe | 50.69 | 70.68 | | lamp | 72.86 | 83.84 | | bathtub | 74.48 | 87.09 | | railing | 42.54 | 63.66 | | cushion | 66.74 | 77.02 | | base | 35.87 | 73.94 | | box | 31.56 | 44.72 | | column | 52.44 | 74.37 | | signboard | 44.33 | 63.29 | | chest of drawers | 38.67 | 68.0 | | counter | 43.96 | 57.63 | | sand | 40.0 | 53.95 | | sink | 83.38 | 91.34 | | skyscraper | 42.66 | 53.35 | | fireplace | 76.65 | 91.11 | | refrigerator | 85.47 | 93.32 | | grandstand | 46.59 | 77.92 | | path | 20.45 | 28.99 | | stairs | 18.63 | 22.51 | | runway | 76.15 | 96.38 | | case | 56.34 | 87.68 | | pool table | 93.87 | 97.12 | | pillow | 64.56 | 82.3 | | screen door | 78.94 | 93.75 | | stairway | 26.49 | 52.79 | | river | 10.07 | 13.4 | | bridge | 81.45 | 90.66 | | bookcase | 21.19 | 36.2 | | blind | 41.83 | 50.21 | | coffee table | 71.67 | 85.29 | | toilet | 91.61 | 94.0 | | flower | 44.91 | 63.72 | | book | 54.92 | 80.03 | | hill | 8.29 | 16.41 | | bench | 67.53 | 79.35 | | countertop | 60.78 | 73.27 | | stove | 87.62 | 90.51 | | palm | 55.11 | 83.69 | | kitchen island | 41.19 | 90.03 | | computer | 73.14 | 80.81 | | swivel chair | 50.95 | 66.02 | | boat | 46.26 | 57.57 | | bar | 55.43 | 69.77 | | arcade machine | 46.43 | 49.24 | | hovel | 64.91 | 73.83 | | bus | 93.38 | 96.71 | | towel | 78.69 | 90.47 | | light | 63.46 | 80.45 | | truck | 46.13 | 53.61 | | tower | 41.72 | 70.65 | | chandelier | 72.39 | 89.6 | | awning | 37.39 | 49.99 | | streetlight | 47.65 | 65.75 | | booth | 55.66 | 62.86 | | television receiver | 74.91 | 88.32 | | airplane | 67.42 | 72.85 | | dirt track | 17.28 | 26.25 | | apparel | 32.17 | 51.05 | | pole | 34.85 | 53.72 | | land | 5.69 | 6.92 | | bannister | 20.13 | 32.61 | | escalator | 24.48 | 26.85 | | ottoman | 52.17 | 70.75 | | bottle | 41.12 | 79.3 | | buffet | 41.34 | 55.25 | | poster | 33.76 | 45.96 | | stage | 20.69 | 46.13 | | van | 47.2 | 68.31 | | ship | 9.26 | 16.27 | | fountain | 21.48 | 21.91 | | conveyer belt | 41.39 | 94.63 | | canopy | 28.62 | 53.44 | | washer | 70.73 | 74.63 | | plaything | 38.54 | 54.01 | | swimming pool | 70.71 | 72.82 | | stool | 56.93 | 77.89 | | barrel | 36.49 | 97.91 | | basket | 44.06 | 56.72 | | waterfall | 58.91 | 94.68 | | tent | 89.2 | 98.29 | | bag | 26.87 | 37.37 | | minibike | 71.82 | 90.53 | | cradle | 78.86 | 97.68 | | oven | 25.59 | 71.61 | | ball | 16.82 | 54.5 | | food | 58.31 | 64.46 | | step | 26.94 | 43.6 | | tank | 54.23 | 65.65 | | trade name | 31.78 | 42.0 | | microwave | 42.06 | 47.13 | | pot | 53.72 | 68.34 | | animal | 68.36 | 70.48 | | bicycle | 59.79 | 82.61 | | lake | 59.37 | 67.16 | | dishwasher | 81.01 | 87.72 | | screen | 47.8 | 73.12 | | blanket | 40.85 | 51.18 | | sculpture | 67.1 | 90.08 | | hood | 71.4 | 77.35 | | sconce | 60.09 | 75.11 | | vase | 57.05 | 76.6 | | traffic light | 43.88 | 72.72 | | tray | 24.05 | 36.16 | | ashcan | 52.0 | 72.03 | | fan | 68.94 | 88.3 | | pier | 14.86 | 15.58 | | crt screen | 4.08 | 13.89 | | plate | 64.32 | 83.13 | | monitor | 3.29 | 4.38 | | bulletin board | 41.13 | 78.84 | | shower | 10.43 | 26.81 | | radiator | 66.59 | 84.03 | | glass | 23.27 | 26.53 | | clock | 48.31 | 65.86 | | flag | 53.9 | 62.89 | +---------------------+-------+-------+ 2023-11-22 09:38:58,155 - mmseg - INFO - Summary: 2023-11-22 09:38:58,156 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.77 | 53.45 | 68.64 | +-------+-------+-------+ 2023-11-22 09:38:58,156 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 09:38:58,157 - mmseg - INFO - Iter(val) [250] aAcc: 0.8477, mIoU: 0.5345, mAcc: 0.6864, IoU.wall: 0.8050, IoU.building: 0.8388, IoU.sky: 0.9507, IoU.floor: 0.8432, IoU.tree: 0.7693, IoU.ceiling: 0.8493, IoU.road: 0.8652, IoU.bed : 0.9122, IoU.windowpane: 0.6397, IoU.grass: 0.7351, IoU.cabinet: 0.6141, IoU.sidewalk: 0.6832, IoU.person: 0.8629, IoU.earth: 0.4048, IoU.door: 0.5378, IoU.table: 0.6924, IoU.mountain: 0.5297, IoU.plant: 0.5255, IoU.curtain: 0.7743, IoU.chair: 0.6830, IoU.car: 0.8817, IoU.water: 0.5965, IoU.painting: 0.7618, IoU.sofa: 0.7467, IoU.shelf: 0.4270, IoU.house: 0.4661, IoU.sea: 0.6426, IoU.mirror: 0.7012, IoU.rug: 0.6902, IoU.field: 0.3115, IoU.armchair: 0.5408, IoU.seat: 0.6561, IoU.fence: 0.5353, IoU.desk: 0.5237, IoU.rock: 0.4376, IoU.wardrobe: 0.5069, IoU.lamp: 0.7286, IoU.bathtub: 0.7448, IoU.railing: 0.4254, IoU.cushion: 0.6674, IoU.base: 0.3587, IoU.box: 0.3156, IoU.column: 0.5244, IoU.signboard: 0.4433, IoU.chest of drawers: 0.3867, IoU.counter: 0.4396, IoU.sand: 0.4000, IoU.sink: 0.8338, IoU.skyscraper: 0.4266, IoU.fireplace: 0.7665, IoU.refrigerator: 0.8547, IoU.grandstand: 0.4659, IoU.path: 0.2045, IoU.stairs: 0.1863, IoU.runway: 0.7615, IoU.case: 0.5634, IoU.pool table: 0.9387, IoU.pillow: 0.6456, IoU.screen door: 0.7894, IoU.stairway: 0.2649, IoU.river: 0.1007, IoU.bridge: 0.8145, IoU.bookcase: 0.2119, IoU.blind: 0.4183, IoU.coffee table: 0.7167, IoU.toilet: 0.9161, IoU.flower: 0.4491, IoU.book: 0.5492, IoU.hill: 0.0829, IoU.bench: 0.6753, IoU.countertop: 0.6078, IoU.stove: 0.8762, IoU.palm: 0.5511, IoU.kitchen island: 0.4119, IoU.computer: 0.7314, IoU.swivel chair: 0.5095, IoU.boat: 0.4626, IoU.bar: 0.5543, IoU.arcade machine: 0.4643, IoU.hovel: 0.6491, IoU.bus: 0.9338, IoU.towel: 0.7869, IoU.light: 0.6346, IoU.truck: 0.4613, IoU.tower: 0.4172, IoU.chandelier: 0.7239, IoU.awning: 0.3739, IoU.streetlight: 0.4765, IoU.booth: 0.5566, IoU.television receiver: 0.7491, IoU.airplane: 0.6742, IoU.dirt track: 0.1728, IoU.apparel: 0.3217, IoU.pole: 0.3485, IoU.land: 0.0569, IoU.bannister: 0.2013, IoU.escalator: 0.2448, IoU.ottoman: 0.5217, IoU.bottle: 0.4112, IoU.buffet: 0.4134, IoU.poster: 0.3376, IoU.stage: 0.2069, IoU.van: 0.4720, IoU.ship: 0.0926, IoU.fountain: 0.2148, IoU.conveyer belt: 0.4139, IoU.canopy: 0.2862, IoU.washer: 0.7073, IoU.plaything: 0.3854, IoU.swimming pool: 0.7071, IoU.stool: 0.5693, IoU.barrel: 0.3649, IoU.basket: 0.4406, IoU.waterfall: 0.5891, IoU.tent: 0.8920, IoU.bag: 0.2687, IoU.minibike: 0.7182, IoU.cradle: 0.7886, IoU.oven: 0.2559, IoU.ball: 0.1682, IoU.food: 0.5831, IoU.step: 0.2694, IoU.tank: 0.5423, IoU.trade name: 0.3178, IoU.microwave: 0.4206, IoU.pot: 0.5372, IoU.animal: 0.6836, IoU.bicycle: 0.5979, IoU.lake: 0.5937, IoU.dishwasher: 0.8101, IoU.screen: 0.4780, IoU.blanket: 0.4085, IoU.sculpture: 0.6710, IoU.hood: 0.7140, IoU.sconce: 0.6009, IoU.vase: 0.5705, IoU.traffic light: 0.4388, IoU.tray: 0.2405, IoU.ashcan: 0.5200, IoU.fan: 0.6894, IoU.pier: 0.1486, IoU.crt screen: 0.0408, IoU.plate: 0.6432, IoU.monitor: 0.0329, IoU.bulletin board: 0.4113, IoU.shower: 0.1043, IoU.radiator: 0.6659, IoU.glass: 0.2327, IoU.clock: 0.4831, IoU.flag: 0.5390, Acc.wall: 0.8769, Acc.building: 0.9119, Acc.sky: 0.9791, Acc.floor: 0.9077, Acc.tree: 0.8772, Acc.ceiling: 0.9192, Acc.road: 0.9226, Acc.bed : 0.9460, Acc.windowpane: 0.8019, Acc.grass: 0.8828, Acc.cabinet: 0.7283, Acc.sidewalk: 0.8164, Acc.person: 0.9344, Acc.earth: 0.5798, Acc.door: 0.7038, Acc.table: 0.8074, Acc.mountain: 0.6486, Acc.plant: 0.6501, Acc.curtain: 0.8940, Acc.chair: 0.7972, Acc.car: 0.9448, Acc.water: 0.7264, Acc.painting: 0.8927, Acc.sofa: 0.9046, Acc.shelf: 0.5584, Acc.house: 0.7614, Acc.sea: 0.9003, Acc.mirror: 0.8210, Acc.rug: 0.8371, Acc.field: 0.4368, Acc.armchair: 0.7250, Acc.seat: 0.8410, Acc.fence: 0.6999, Acc.desk: 0.7987, Acc.rock: 0.5895, Acc.wardrobe: 0.7068, Acc.lamp: 0.8384, Acc.bathtub: 0.8709, Acc.railing: 0.6366, Acc.cushion: 0.7702, Acc.base: 0.7394, Acc.box: 0.4472, Acc.column: 0.7437, Acc.signboard: 0.6329, Acc.chest of drawers: 0.6800, Acc.counter: 0.5763, Acc.sand: 0.5395, Acc.sink: 0.9134, Acc.skyscraper: 0.5335, Acc.fireplace: 0.9111, Acc.refrigerator: 0.9332, Acc.grandstand: 0.7792, Acc.path: 0.2899, Acc.stairs: 0.2251, Acc.runway: 0.9638, Acc.case: 0.8768, Acc.pool table: 0.9712, Acc.pillow: 0.8230, Acc.screen door: 0.9375, Acc.stairway: 0.5279, Acc.river: 0.1340, Acc.bridge: 0.9066, Acc.bookcase: 0.3620, Acc.blind: 0.5021, Acc.coffee table: 0.8529, Acc.toilet: 0.9400, Acc.flower: 0.6372, Acc.book: 0.8003, Acc.hill: 0.1641, Acc.bench: 0.7935, Acc.countertop: 0.7327, Acc.stove: 0.9051, Acc.palm: 0.8369, Acc.kitchen island: 0.9003, Acc.computer: 0.8081, Acc.swivel chair: 0.6602, Acc.boat: 0.5757, Acc.bar: 0.6977, Acc.arcade machine: 0.4924, Acc.hovel: 0.7383, Acc.bus: 0.9671, Acc.towel: 0.9047, Acc.light: 0.8045, Acc.truck: 0.5361, Acc.tower: 0.7065, Acc.chandelier: 0.8960, Acc.awning: 0.4999, Acc.streetlight: 0.6575, Acc.booth: 0.6286, Acc.television receiver: 0.8832, Acc.airplane: 0.7285, Acc.dirt track: 0.2625, Acc.apparel: 0.5105, Acc.pole: 0.5372, Acc.land: 0.0692, Acc.bannister: 0.3261, Acc.escalator: 0.2685, Acc.ottoman: 0.7075, Acc.bottle: 0.7930, Acc.buffet: 0.5525, Acc.poster: 0.4596, Acc.stage: 0.4613, Acc.van: 0.6831, Acc.ship: 0.1627, Acc.fountain: 0.2191, Acc.conveyer belt: 0.9463, Acc.canopy: 0.5344, Acc.washer: 0.7463, Acc.plaything: 0.5401, Acc.swimming pool: 0.7282, Acc.stool: 0.7789, Acc.barrel: 0.9791, Acc.basket: 0.5672, Acc.waterfall: 0.9468, Acc.tent: 0.9829, Acc.bag: 0.3737, Acc.minibike: 0.9053, Acc.cradle: 0.9768, Acc.oven: 0.7161, Acc.ball: 0.5450, Acc.food: 0.6446, Acc.step: 0.4360, Acc.tank: 0.6565, Acc.trade name: 0.4200, Acc.microwave: 0.4713, Acc.pot: 0.6834, Acc.animal: 0.7048, Acc.bicycle: 0.8261, Acc.lake: 0.6716, Acc.dishwasher: 0.8772, Acc.screen: 0.7312, Acc.blanket: 0.5118, Acc.sculpture: 0.9008, Acc.hood: 0.7735, Acc.sconce: 0.7511, Acc.vase: 0.7660, Acc.traffic light: 0.7272, Acc.tray: 0.3616, Acc.ashcan: 0.7203, Acc.fan: 0.8830, Acc.pier: 0.1558, Acc.crt screen: 0.1389, Acc.plate: 0.8313, Acc.monitor: 0.0438, Acc.bulletin board: 0.7884, Acc.shower: 0.2681, Acc.radiator: 0.8403, Acc.glass: 0.2653, Acc.clock: 0.6586, Acc.flag: 0.6289 2023-11-22 09:39:26,642 - mmseg - INFO - Iter [76050/160000] lr: 4.998e-06, eta: 13:41:15, time: 0.958, data_time: 0.401, memory: 38143, decode.loss_cls: 0.2720, decode.loss_mask: 0.5019, decode.loss_dice: 0.7590, decode.d0.loss_cls: 1.3792, decode.d0.loss_mask: 0.5376, decode.d0.loss_dice: 0.8517, decode.d1.loss_cls: 0.3593, decode.d1.loss_mask: 0.5239, decode.d1.loss_dice: 0.7990, decode.d2.loss_cls: 0.2983, decode.d2.loss_mask: 0.5145, decode.d2.loss_dice: 0.7823, decode.d3.loss_cls: 0.2873, decode.d3.loss_mask: 0.5090, decode.d3.loss_dice: 0.7628, decode.d4.loss_cls: 0.2821, decode.d4.loss_mask: 0.5069, decode.d4.loss_dice: 0.7653, decode.d5.loss_cls: 0.2816, decode.d5.loss_mask: 0.5078, decode.d5.loss_dice: 0.7621, decode.d6.loss_cls: 0.2748, decode.d6.loss_mask: 0.5064, decode.d6.loss_dice: 0.7590, decode.d7.loss_cls: 0.2707, decode.d7.loss_mask: 0.5034, decode.d7.loss_dice: 0.7617, decode.d8.loss_cls: 0.2688, decode.d8.loss_mask: 0.5035, decode.d8.loss_dice: 0.7601, loss: 16.8520, grad_norm: 68.5299 2023-11-22 09:39:55,270 - mmseg - INFO - Iter [76100/160000] lr: 4.995e-06, eta: 13:40:45, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2858, decode.loss_mask: 0.5121, decode.loss_dice: 0.7737, decode.d0.loss_cls: 1.4370, decode.d0.loss_mask: 0.5405, decode.d0.loss_dice: 0.8735, decode.d1.loss_cls: 0.3698, decode.d1.loss_mask: 0.5303, decode.d1.loss_dice: 0.8145, decode.d2.loss_cls: 0.3149, decode.d2.loss_mask: 0.5226, decode.d2.loss_dice: 0.8012, decode.d3.loss_cls: 0.3045, decode.d3.loss_mask: 0.5149, decode.d3.loss_dice: 0.7845, decode.d4.loss_cls: 0.2959, decode.d4.loss_mask: 0.5143, decode.d4.loss_dice: 0.7832, decode.d5.loss_cls: 0.2920, decode.d5.loss_mask: 0.5133, decode.d5.loss_dice: 0.7845, decode.d6.loss_cls: 0.2881, decode.d6.loss_mask: 0.5134, decode.d6.loss_dice: 0.7777, decode.d7.loss_cls: 0.2847, decode.d7.loss_mask: 0.5138, decode.d7.loss_dice: 0.7735, decode.d8.loss_cls: 0.2855, decode.d8.loss_mask: 0.5133, decode.d8.loss_dice: 0.7746, loss: 17.2875, grad_norm: 73.2862 2023-11-22 09:40:23,617 - mmseg - INFO - Iter [76150/160000] lr: 4.992e-06, eta: 13:40:15, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2859, decode.loss_mask: 0.5086, decode.loss_dice: 0.7685, decode.d0.loss_cls: 1.4354, decode.d0.loss_mask: 0.5461, decode.d0.loss_dice: 0.8683, decode.d1.loss_cls: 0.3814, decode.d1.loss_mask: 0.5317, decode.d1.loss_dice: 0.8198, decode.d2.loss_cls: 0.3238, decode.d2.loss_mask: 0.5199, decode.d2.loss_dice: 0.7916, decode.d3.loss_cls: 0.3014, decode.d3.loss_mask: 0.5171, decode.d3.loss_dice: 0.7752, decode.d4.loss_cls: 0.2940, decode.d4.loss_mask: 0.5142, decode.d4.loss_dice: 0.7775, decode.d5.loss_cls: 0.2949, decode.d5.loss_mask: 0.5117, decode.d5.loss_dice: 0.7740, decode.d6.loss_cls: 0.2974, decode.d6.loss_mask: 0.5103, decode.d6.loss_dice: 0.7699, decode.d7.loss_cls: 0.2906, decode.d7.loss_mask: 0.5099, decode.d7.loss_dice: 0.7724, decode.d8.loss_cls: 0.2896, decode.d8.loss_mask: 0.5101, decode.d8.loss_dice: 0.7731, loss: 17.2645, grad_norm: 69.4212 2023-11-22 09:40:52,174 - mmseg - INFO - Iter [76200/160000] lr: 4.989e-06, eta: 13:39:45, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2981, decode.loss_mask: 0.5205, decode.loss_dice: 0.8028, decode.d0.loss_cls: 1.4191, decode.d0.loss_mask: 0.5469, decode.d0.loss_dice: 0.9079, decode.d1.loss_cls: 0.3896, decode.d1.loss_mask: 0.5357, decode.d1.loss_dice: 0.8392, decode.d2.loss_cls: 0.3414, decode.d2.loss_mask: 0.5261, decode.d2.loss_dice: 0.8259, decode.d3.loss_cls: 0.3195, decode.d3.loss_mask: 0.5216, decode.d3.loss_dice: 0.8106, decode.d4.loss_cls: 0.3145, decode.d4.loss_mask: 0.5225, decode.d4.loss_dice: 0.8105, decode.d5.loss_cls: 0.3118, decode.d5.loss_mask: 0.5220, decode.d5.loss_dice: 0.8125, decode.d6.loss_cls: 0.3070, decode.d6.loss_mask: 0.5196, decode.d6.loss_dice: 0.8002, decode.d7.loss_cls: 0.3012, decode.d7.loss_mask: 0.5217, decode.d7.loss_dice: 0.8017, decode.d8.loss_cls: 0.3002, decode.d8.loss_mask: 0.5209, decode.d8.loss_dice: 0.8030, loss: 17.7744, grad_norm: 72.3915 2023-11-22 09:41:20,464 - mmseg - INFO - Iter [76250/160000] lr: 4.986e-06, eta: 13:39:14, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2789, decode.loss_mask: 0.5075, decode.loss_dice: 0.7519, decode.d0.loss_cls: 1.4058, decode.d0.loss_mask: 0.5414, decode.d0.loss_dice: 0.8545, decode.d1.loss_cls: 0.3771, decode.d1.loss_mask: 0.5255, decode.d1.loss_dice: 0.8034, decode.d2.loss_cls: 0.3231, decode.d2.loss_mask: 0.5121, decode.d2.loss_dice: 0.7743, decode.d3.loss_cls: 0.3038, decode.d3.loss_mask: 0.5057, decode.d3.loss_dice: 0.7543, decode.d4.loss_cls: 0.2898, decode.d4.loss_mask: 0.5085, decode.d4.loss_dice: 0.7597, decode.d5.loss_cls: 0.2879, decode.d5.loss_mask: 0.5079, decode.d5.loss_dice: 0.7536, decode.d6.loss_cls: 0.2898, decode.d6.loss_mask: 0.5071, decode.d6.loss_dice: 0.7511, decode.d7.loss_cls: 0.2801, decode.d7.loss_mask: 0.5087, decode.d7.loss_dice: 0.7503, decode.d8.loss_cls: 0.2850, decode.d8.loss_mask: 0.5084, decode.d8.loss_dice: 0.7518, loss: 16.9592, grad_norm: 66.6534 2023-11-22 09:41:48,887 - mmseg - INFO - Iter [76300/160000] lr: 4.983e-06, eta: 13:38:44, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2743, decode.loss_mask: 0.5286, decode.loss_dice: 0.7650, decode.d0.loss_cls: 1.4191, decode.d0.loss_mask: 0.5602, decode.d0.loss_dice: 0.8610, decode.d1.loss_cls: 0.3681, decode.d1.loss_mask: 0.5435, decode.d1.loss_dice: 0.8079, decode.d2.loss_cls: 0.3206, decode.d2.loss_mask: 0.5303, decode.d2.loss_dice: 0.7849, decode.d3.loss_cls: 0.2967, decode.d3.loss_mask: 0.5303, decode.d3.loss_dice: 0.7687, decode.d4.loss_cls: 0.2849, decode.d4.loss_mask: 0.5262, decode.d4.loss_dice: 0.7705, decode.d5.loss_cls: 0.2874, decode.d5.loss_mask: 0.5250, decode.d5.loss_dice: 0.7663, decode.d6.loss_cls: 0.2759, decode.d6.loss_mask: 0.5235, decode.d6.loss_dice: 0.7597, decode.d7.loss_cls: 0.2747, decode.d7.loss_mask: 0.5257, decode.d7.loss_dice: 0.7621, decode.d8.loss_cls: 0.2759, decode.d8.loss_mask: 0.5263, decode.d8.loss_dice: 0.7650, loss: 17.2080, grad_norm: 74.8723 2023-11-22 09:42:17,294 - mmseg - INFO - Iter [76350/160000] lr: 4.980e-06, eta: 13:38:13, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2780, decode.loss_mask: 0.5116, decode.loss_dice: 0.7476, decode.d0.loss_cls: 1.4405, decode.d0.loss_mask: 0.5471, decode.d0.loss_dice: 0.8513, decode.d1.loss_cls: 0.3843, decode.d1.loss_mask: 0.5325, decode.d1.loss_dice: 0.8012, decode.d2.loss_cls: 0.3224, decode.d2.loss_mask: 0.5232, decode.d2.loss_dice: 0.7744, decode.d3.loss_cls: 0.2977, decode.d3.loss_mask: 0.5134, decode.d3.loss_dice: 0.7537, decode.d4.loss_cls: 0.2929, decode.d4.loss_mask: 0.5131, decode.d4.loss_dice: 0.7570, decode.d5.loss_cls: 0.2852, decode.d5.loss_mask: 0.5144, decode.d5.loss_dice: 0.7519, decode.d6.loss_cls: 0.2887, decode.d6.loss_mask: 0.5110, decode.d6.loss_dice: 0.7484, decode.d7.loss_cls: 0.2806, decode.d7.loss_mask: 0.5110, decode.d7.loss_dice: 0.7490, decode.d8.loss_cls: 0.2786, decode.d8.loss_mask: 0.5138, decode.d8.loss_dice: 0.7527, loss: 17.0270, grad_norm: 74.4958 2023-11-22 09:42:45,929 - mmseg - INFO - Iter [76400/160000] lr: 4.977e-06, eta: 13:37:43, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2852, decode.loss_mask: 0.5165, decode.loss_dice: 0.7631, decode.d0.loss_cls: 1.3868, decode.d0.loss_mask: 0.5544, decode.d0.loss_dice: 0.8582, decode.d1.loss_cls: 0.3734, decode.d1.loss_mask: 0.5352, decode.d1.loss_dice: 0.8087, decode.d2.loss_cls: 0.3254, decode.d2.loss_mask: 0.5252, decode.d2.loss_dice: 0.7869, decode.d3.loss_cls: 0.3032, decode.d3.loss_mask: 0.5192, decode.d3.loss_dice: 0.7711, decode.d4.loss_cls: 0.2978, decode.d4.loss_mask: 0.5187, decode.d4.loss_dice: 0.7686, decode.d5.loss_cls: 0.2859, decode.d5.loss_mask: 0.5195, decode.d5.loss_dice: 0.7707, decode.d6.loss_cls: 0.2859, decode.d6.loss_mask: 0.5188, decode.d6.loss_dice: 0.7623, decode.d7.loss_cls: 0.2824, decode.d7.loss_mask: 0.5175, decode.d7.loss_dice: 0.7633, decode.d8.loss_cls: 0.2874, decode.d8.loss_mask: 0.5168, decode.d8.loss_dice: 0.7630, loss: 17.1709, grad_norm: 74.9353 2023-11-22 09:43:14,119 - mmseg - INFO - Iter [76450/160000] lr: 4.974e-06, eta: 13:37:13, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2822, decode.loss_mask: 0.5253, decode.loss_dice: 0.7732, decode.d0.loss_cls: 1.4191, decode.d0.loss_mask: 0.5612, decode.d0.loss_dice: 0.8695, decode.d1.loss_cls: 0.3797, decode.d1.loss_mask: 0.5416, decode.d1.loss_dice: 0.8247, decode.d2.loss_cls: 0.3280, decode.d2.loss_mask: 0.5307, decode.d2.loss_dice: 0.7868, decode.d3.loss_cls: 0.3080, decode.d3.loss_mask: 0.5266, decode.d3.loss_dice: 0.7800, decode.d4.loss_cls: 0.2949, decode.d4.loss_mask: 0.5278, decode.d4.loss_dice: 0.7753, decode.d5.loss_cls: 0.2910, decode.d5.loss_mask: 0.5249, decode.d5.loss_dice: 0.7770, decode.d6.loss_cls: 0.2929, decode.d6.loss_mask: 0.5259, decode.d6.loss_dice: 0.7748, decode.d7.loss_cls: 0.2824, decode.d7.loss_mask: 0.5256, decode.d7.loss_dice: 0.7722, decode.d8.loss_cls: 0.2778, decode.d8.loss_mask: 0.5272, decode.d8.loss_dice: 0.7721, loss: 17.3785, grad_norm: 70.2924 2023-11-22 09:43:42,607 - mmseg - INFO - Iter [76500/160000] lr: 4.971e-06, eta: 13:36:42, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2989, decode.loss_mask: 0.5258, decode.loss_dice: 0.7915, decode.d0.loss_cls: 1.4417, decode.d0.loss_mask: 0.5623, decode.d0.loss_dice: 0.8924, decode.d1.loss_cls: 0.3906, decode.d1.loss_mask: 0.5463, decode.d1.loss_dice: 0.8344, decode.d2.loss_cls: 0.3352, decode.d2.loss_mask: 0.5327, decode.d2.loss_dice: 0.8222, decode.d3.loss_cls: 0.3177, decode.d3.loss_mask: 0.5260, decode.d3.loss_dice: 0.8044, decode.d4.loss_cls: 0.3031, decode.d4.loss_mask: 0.5257, decode.d4.loss_dice: 0.8053, decode.d5.loss_cls: 0.3020, decode.d5.loss_mask: 0.5255, decode.d5.loss_dice: 0.8030, decode.d6.loss_cls: 0.3047, decode.d6.loss_mask: 0.5253, decode.d6.loss_dice: 0.7938, decode.d7.loss_cls: 0.2959, decode.d7.loss_mask: 0.5258, decode.d7.loss_dice: 0.7928, decode.d8.loss_cls: 0.2998, decode.d8.loss_mask: 0.5249, decode.d8.loss_dice: 0.7949, loss: 17.7449, grad_norm: 67.2238 2023-11-22 09:44:10,814 - mmseg - INFO - Iter [76550/160000] lr: 4.968e-06, eta: 13:36:12, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2780, decode.loss_mask: 0.5355, decode.loss_dice: 0.7687, decode.d0.loss_cls: 1.3948, decode.d0.loss_mask: 0.5766, decode.d0.loss_dice: 0.8557, decode.d1.loss_cls: 0.3749, decode.d1.loss_mask: 0.5606, decode.d1.loss_dice: 0.8126, decode.d2.loss_cls: 0.3144, decode.d2.loss_mask: 0.5469, decode.d2.loss_dice: 0.7951, decode.d3.loss_cls: 0.2986, decode.d3.loss_mask: 0.5396, decode.d3.loss_dice: 0.7720, decode.d4.loss_cls: 0.2856, decode.d4.loss_mask: 0.5382, decode.d4.loss_dice: 0.7733, decode.d5.loss_cls: 0.2863, decode.d5.loss_mask: 0.5394, decode.d5.loss_dice: 0.7720, decode.d6.loss_cls: 0.2814, decode.d6.loss_mask: 0.5385, decode.d6.loss_dice: 0.7681, decode.d7.loss_cls: 0.2802, decode.d7.loss_mask: 0.5380, decode.d7.loss_dice: 0.7706, decode.d8.loss_cls: 0.2744, decode.d8.loss_mask: 0.5383, decode.d8.loss_dice: 0.7684, loss: 17.3770, grad_norm: 75.1535 2023-11-22 09:44:39,142 - mmseg - INFO - Iter [76600/160000] lr: 4.965e-06, eta: 13:35:41, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2938, decode.loss_mask: 0.5129, decode.loss_dice: 0.7719, decode.d0.loss_cls: 1.4029, decode.d0.loss_mask: 0.5464, decode.d0.loss_dice: 0.8731, decode.d1.loss_cls: 0.3788, decode.d1.loss_mask: 0.5340, decode.d1.loss_dice: 0.8194, decode.d2.loss_cls: 0.3257, decode.d2.loss_mask: 0.5242, decode.d2.loss_dice: 0.7951, decode.d3.loss_cls: 0.3102, decode.d3.loss_mask: 0.5165, decode.d3.loss_dice: 0.7771, decode.d4.loss_cls: 0.2949, decode.d4.loss_mask: 0.5159, decode.d4.loss_dice: 0.7803, decode.d5.loss_cls: 0.2933, decode.d5.loss_mask: 0.5171, decode.d5.loss_dice: 0.7776, decode.d6.loss_cls: 0.2946, decode.d6.loss_mask: 0.5125, decode.d6.loss_dice: 0.7755, decode.d7.loss_cls: 0.2938, decode.d7.loss_mask: 0.5138, decode.d7.loss_dice: 0.7704, decode.d8.loss_cls: 0.2932, decode.d8.loss_mask: 0.5143, decode.d8.loss_dice: 0.7715, loss: 17.3005, grad_norm: 71.6894 2023-11-22 09:45:07,540 - mmseg - INFO - Iter [76650/160000] lr: 4.962e-06, eta: 13:35:11, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2563, decode.loss_mask: 0.5130, decode.loss_dice: 0.7596, decode.d0.loss_cls: 1.3363, decode.d0.loss_mask: 0.5514, decode.d0.loss_dice: 0.8549, decode.d1.loss_cls: 0.3517, decode.d1.loss_mask: 0.5327, decode.d1.loss_dice: 0.7911, decode.d2.loss_cls: 0.2965, decode.d2.loss_mask: 0.5239, decode.d2.loss_dice: 0.7751, decode.d3.loss_cls: 0.2791, decode.d3.loss_mask: 0.5171, decode.d3.loss_dice: 0.7614, decode.d4.loss_cls: 0.2728, decode.d4.loss_mask: 0.5148, decode.d4.loss_dice: 0.7605, decode.d5.loss_cls: 0.2634, decode.d5.loss_mask: 0.5141, decode.d5.loss_dice: 0.7615, decode.d6.loss_cls: 0.2633, decode.d6.loss_mask: 0.5129, decode.d6.loss_dice: 0.7528, decode.d7.loss_cls: 0.2630, decode.d7.loss_mask: 0.5129, decode.d7.loss_dice: 0.7547, decode.d8.loss_cls: 0.2586, decode.d8.loss_mask: 0.5116, decode.d8.loss_dice: 0.7588, loss: 16.7760, grad_norm: 72.6739 2023-11-22 09:45:36,115 - mmseg - INFO - Iter [76700/160000] lr: 4.959e-06, eta: 13:34:41, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2863, decode.loss_mask: 0.5328, decode.loss_dice: 0.7569, decode.d0.loss_cls: 1.3984, decode.d0.loss_mask: 0.5676, decode.d0.loss_dice: 0.8519, decode.d1.loss_cls: 0.3721, decode.d1.loss_mask: 0.5525, decode.d1.loss_dice: 0.8007, decode.d2.loss_cls: 0.3135, decode.d2.loss_mask: 0.5419, decode.d2.loss_dice: 0.7848, decode.d3.loss_cls: 0.3010, decode.d3.loss_mask: 0.5354, decode.d3.loss_dice: 0.7652, decode.d4.loss_cls: 0.2905, decode.d4.loss_mask: 0.5340, decode.d4.loss_dice: 0.7615, decode.d5.loss_cls: 0.2908, decode.d5.loss_mask: 0.5340, decode.d5.loss_dice: 0.7630, decode.d6.loss_cls: 0.2920, decode.d6.loss_mask: 0.5341, decode.d6.loss_dice: 0.7556, decode.d7.loss_cls: 0.2911, decode.d7.loss_mask: 0.5317, decode.d7.loss_dice: 0.7564, decode.d8.loss_cls: 0.2931, decode.d8.loss_mask: 0.5319, decode.d8.loss_dice: 0.7555, loss: 17.2762, grad_norm: 75.2582 2023-11-22 09:46:04,503 - mmseg - INFO - Iter [76750/160000] lr: 4.956e-06, eta: 13:34:10, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2887, decode.loss_mask: 0.5009, decode.loss_dice: 0.7693, decode.d0.loss_cls: 1.4394, decode.d0.loss_mask: 0.5345, decode.d0.loss_dice: 0.8702, decode.d1.loss_cls: 0.3895, decode.d1.loss_mask: 0.5210, decode.d1.loss_dice: 0.8164, decode.d2.loss_cls: 0.3352, decode.d2.loss_mask: 0.5052, decode.d2.loss_dice: 0.7911, decode.d3.loss_cls: 0.3125, decode.d3.loss_mask: 0.5036, decode.d3.loss_dice: 0.7712, decode.d4.loss_cls: 0.3052, decode.d4.loss_mask: 0.5046, decode.d4.loss_dice: 0.7771, decode.d5.loss_cls: 0.3003, decode.d5.loss_mask: 0.5051, decode.d5.loss_dice: 0.7754, decode.d6.loss_cls: 0.2953, decode.d6.loss_mask: 0.5034, decode.d6.loss_dice: 0.7702, decode.d7.loss_cls: 0.2930, decode.d7.loss_mask: 0.5013, decode.d7.loss_dice: 0.7710, decode.d8.loss_cls: 0.2930, decode.d8.loss_mask: 0.5021, decode.d8.loss_dice: 0.7714, loss: 17.2170, grad_norm: 77.5028 2023-11-22 09:46:33,014 - mmseg - INFO - Iter [76800/160000] lr: 4.953e-06, eta: 13:33:40, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3050, decode.loss_mask: 0.5043, decode.loss_dice: 0.7564, decode.d0.loss_cls: 1.4243, decode.d0.loss_mask: 0.5361, decode.d0.loss_dice: 0.8595, decode.d1.loss_cls: 0.4069, decode.d1.loss_mask: 0.5239, decode.d1.loss_dice: 0.8006, decode.d2.loss_cls: 0.3435, decode.d2.loss_mask: 0.5096, decode.d2.loss_dice: 0.7820, decode.d3.loss_cls: 0.3179, decode.d3.loss_mask: 0.5061, decode.d3.loss_dice: 0.7633, decode.d4.loss_cls: 0.3167, decode.d4.loss_mask: 0.5060, decode.d4.loss_dice: 0.7642, decode.d5.loss_cls: 0.3078, decode.d5.loss_mask: 0.5040, decode.d5.loss_dice: 0.7628, decode.d6.loss_cls: 0.3085, decode.d6.loss_mask: 0.5053, decode.d6.loss_dice: 0.7592, decode.d7.loss_cls: 0.3016, decode.d7.loss_mask: 0.5013, decode.d7.loss_dice: 0.7592, decode.d8.loss_cls: 0.3033, decode.d8.loss_mask: 0.5023, decode.d8.loss_dice: 0.7629, loss: 17.2046, grad_norm: 74.1977 2023-11-22 09:47:01,261 - mmseg - INFO - Iter [76850/160000] lr: 4.950e-06, eta: 13:33:10, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2670, decode.loss_mask: 0.5054, decode.loss_dice: 0.7421, decode.d0.loss_cls: 1.3566, decode.d0.loss_mask: 0.5392, decode.d0.loss_dice: 0.8314, decode.d1.loss_cls: 0.3547, decode.d1.loss_mask: 0.5226, decode.d1.loss_dice: 0.7826, decode.d2.loss_cls: 0.3089, decode.d2.loss_mask: 0.5153, decode.d2.loss_dice: 0.7642, decode.d3.loss_cls: 0.2952, decode.d3.loss_mask: 0.5087, decode.d3.loss_dice: 0.7483, decode.d4.loss_cls: 0.2824, decode.d4.loss_mask: 0.5058, decode.d4.loss_dice: 0.7473, decode.d5.loss_cls: 0.2771, decode.d5.loss_mask: 0.5068, decode.d5.loss_dice: 0.7498, decode.d6.loss_cls: 0.2740, decode.d6.loss_mask: 0.5068, decode.d6.loss_dice: 0.7428, decode.d7.loss_cls: 0.2671, decode.d7.loss_mask: 0.5079, decode.d7.loss_dice: 0.7420, decode.d8.loss_cls: 0.2714, decode.d8.loss_mask: 0.5047, decode.d8.loss_dice: 0.7440, loss: 16.6724, grad_norm: 64.9577 2023-11-22 09:47:29,658 - mmseg - INFO - Iter [76900/160000] lr: 4.947e-06, eta: 13:32:39, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2839, decode.loss_mask: 0.5170, decode.loss_dice: 0.7851, decode.d0.loss_cls: 1.3992, decode.d0.loss_mask: 0.5473, decode.d0.loss_dice: 0.8726, decode.d1.loss_cls: 0.3691, decode.d1.loss_mask: 0.5378, decode.d1.loss_dice: 0.8302, decode.d2.loss_cls: 0.3222, decode.d2.loss_mask: 0.5241, decode.d2.loss_dice: 0.8093, decode.d3.loss_cls: 0.3045, decode.d3.loss_mask: 0.5195, decode.d3.loss_dice: 0.7919, decode.d4.loss_cls: 0.2953, decode.d4.loss_mask: 0.5195, decode.d4.loss_dice: 0.7916, decode.d5.loss_cls: 0.2932, decode.d5.loss_mask: 0.5179, decode.d5.loss_dice: 0.7871, decode.d6.loss_cls: 0.2883, decode.d6.loss_mask: 0.5170, decode.d6.loss_dice: 0.7834, decode.d7.loss_cls: 0.2852, decode.d7.loss_mask: 0.5159, decode.d7.loss_dice: 0.7864, decode.d8.loss_cls: 0.2837, decode.d8.loss_mask: 0.5174, decode.d8.loss_dice: 0.7860, loss: 17.3816, grad_norm: 78.0376 2023-11-22 09:47:58,227 - mmseg - INFO - Iter [76950/160000] lr: 4.944e-06, eta: 13:32:09, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2826, decode.loss_mask: 0.5310, decode.loss_dice: 0.7715, decode.d0.loss_cls: 1.3777, decode.d0.loss_mask: 0.5743, decode.d0.loss_dice: 0.8641, decode.d1.loss_cls: 0.3653, decode.d1.loss_mask: 0.5526, decode.d1.loss_dice: 0.8291, decode.d2.loss_cls: 0.3208, decode.d2.loss_mask: 0.5406, decode.d2.loss_dice: 0.7988, decode.d3.loss_cls: 0.2994, decode.d3.loss_mask: 0.5355, decode.d3.loss_dice: 0.7790, decode.d4.loss_cls: 0.2911, decode.d4.loss_mask: 0.5349, decode.d4.loss_dice: 0.7804, decode.d5.loss_cls: 0.2858, decode.d5.loss_mask: 0.5315, decode.d5.loss_dice: 0.7808, decode.d6.loss_cls: 0.2866, decode.d6.loss_mask: 0.5298, decode.d6.loss_dice: 0.7750, decode.d7.loss_cls: 0.2822, decode.d7.loss_mask: 0.5297, decode.d7.loss_dice: 0.7763, decode.d8.loss_cls: 0.2841, decode.d8.loss_mask: 0.5289, decode.d8.loss_dice: 0.7749, loss: 17.3941, grad_norm: 74.5713 2023-11-22 09:48:26,826 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 09:48:26,827 - mmseg - INFO - Iter [77000/160000] lr: 4.941e-06, eta: 13:31:39, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2747, decode.loss_mask: 0.5036, decode.loss_dice: 0.7321, decode.d0.loss_cls: 1.3903, decode.d0.loss_mask: 0.5384, decode.d0.loss_dice: 0.8262, decode.d1.loss_cls: 0.3612, decode.d1.loss_mask: 0.5248, decode.d1.loss_dice: 0.7704, decode.d2.loss_cls: 0.3191, decode.d2.loss_mask: 0.5155, decode.d2.loss_dice: 0.7492, decode.d3.loss_cls: 0.2999, decode.d3.loss_mask: 0.5084, decode.d3.loss_dice: 0.7388, decode.d4.loss_cls: 0.2865, decode.d4.loss_mask: 0.5093, decode.d4.loss_dice: 0.7408, decode.d5.loss_cls: 0.2812, decode.d5.loss_mask: 0.5078, decode.d5.loss_dice: 0.7368, decode.d6.loss_cls: 0.2818, decode.d6.loss_mask: 0.5051, decode.d6.loss_dice: 0.7301, decode.d7.loss_cls: 0.2736, decode.d7.loss_mask: 0.5052, decode.d7.loss_dice: 0.7335, decode.d8.loss_cls: 0.2797, decode.d8.loss_mask: 0.5060, decode.d8.loss_dice: 0.7324, loss: 16.6625, grad_norm: 71.7677 2023-11-22 09:48:57,458 - mmseg - INFO - Iter [77050/160000] lr: 4.938e-06, eta: 13:31:11, time: 0.613, data_time: 0.058, memory: 38143, decode.loss_cls: 0.2766, decode.loss_mask: 0.5292, decode.loss_dice: 0.7683, decode.d0.loss_cls: 1.3892, decode.d0.loss_mask: 0.5652, decode.d0.loss_dice: 0.8668, decode.d1.loss_cls: 0.3604, decode.d1.loss_mask: 0.5555, decode.d1.loss_dice: 0.8094, decode.d2.loss_cls: 0.3042, decode.d2.loss_mask: 0.5420, decode.d2.loss_dice: 0.7888, decode.d3.loss_cls: 0.2881, decode.d3.loss_mask: 0.5365, decode.d3.loss_dice: 0.7745, decode.d4.loss_cls: 0.2806, decode.d4.loss_mask: 0.5356, decode.d4.loss_dice: 0.7737, decode.d5.loss_cls: 0.2768, decode.d5.loss_mask: 0.5332, decode.d5.loss_dice: 0.7761, decode.d6.loss_cls: 0.2785, decode.d6.loss_mask: 0.5300, decode.d6.loss_dice: 0.7705, decode.d7.loss_cls: 0.2691, decode.d7.loss_mask: 0.5296, decode.d7.loss_dice: 0.7685, decode.d8.loss_cls: 0.2714, decode.d8.loss_mask: 0.5305, decode.d8.loss_dice: 0.7695, loss: 17.2484, grad_norm: 74.9522 2023-11-22 09:49:25,827 - mmseg - INFO - Iter [77100/160000] lr: 4.935e-06, eta: 13:30:41, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2693, decode.loss_mask: 0.5212, decode.loss_dice: 0.7747, decode.d0.loss_cls: 1.3904, decode.d0.loss_mask: 0.5546, decode.d0.loss_dice: 0.8656, decode.d1.loss_cls: 0.3594, decode.d1.loss_mask: 0.5428, decode.d1.loss_dice: 0.8182, decode.d2.loss_cls: 0.3118, decode.d2.loss_mask: 0.5272, decode.d2.loss_dice: 0.7957, decode.d3.loss_cls: 0.2930, decode.d3.loss_mask: 0.5228, decode.d3.loss_dice: 0.7777, decode.d4.loss_cls: 0.2820, decode.d4.loss_mask: 0.5211, decode.d4.loss_dice: 0.7787, decode.d5.loss_cls: 0.2719, decode.d5.loss_mask: 0.5209, decode.d5.loss_dice: 0.7798, decode.d6.loss_cls: 0.2704, decode.d6.loss_mask: 0.5211, decode.d6.loss_dice: 0.7741, decode.d7.loss_cls: 0.2650, decode.d7.loss_mask: 0.5211, decode.d7.loss_dice: 0.7759, decode.d8.loss_cls: 0.2681, decode.d8.loss_mask: 0.5201, decode.d8.loss_dice: 0.7734, loss: 17.1680, grad_norm: 69.5874 2023-11-22 09:49:54,188 - mmseg - INFO - Iter [77150/160000] lr: 4.932e-06, eta: 13:30:10, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2804, decode.loss_mask: 0.4950, decode.loss_dice: 0.7381, decode.d0.loss_cls: 1.3716, decode.d0.loss_mask: 0.5303, decode.d0.loss_dice: 0.8292, decode.d1.loss_cls: 0.3628, decode.d1.loss_mask: 0.5197, decode.d1.loss_dice: 0.7795, decode.d2.loss_cls: 0.3123, decode.d2.loss_mask: 0.5076, decode.d2.loss_dice: 0.7564, decode.d3.loss_cls: 0.2972, decode.d3.loss_mask: 0.5024, decode.d3.loss_dice: 0.7427, decode.d4.loss_cls: 0.2889, decode.d4.loss_mask: 0.5001, decode.d4.loss_dice: 0.7425, decode.d5.loss_cls: 0.2807, decode.d5.loss_mask: 0.5014, decode.d5.loss_dice: 0.7450, decode.d6.loss_cls: 0.2799, decode.d6.loss_mask: 0.4971, decode.d6.loss_dice: 0.7387, decode.d7.loss_cls: 0.2769, decode.d7.loss_mask: 0.4959, decode.d7.loss_dice: 0.7322, decode.d8.loss_cls: 0.2772, decode.d8.loss_mask: 0.4960, decode.d8.loss_dice: 0.7354, loss: 16.6130, grad_norm: 67.4299 2023-11-22 09:50:22,602 - mmseg - INFO - Iter [77200/160000] lr: 4.929e-06, eta: 13:29:40, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2786, decode.loss_mask: 0.5135, decode.loss_dice: 0.7501, decode.d0.loss_cls: 1.3796, decode.d0.loss_mask: 0.5451, decode.d0.loss_dice: 0.8477, decode.d1.loss_cls: 0.3682, decode.d1.loss_mask: 0.5276, decode.d1.loss_dice: 0.7927, decode.d2.loss_cls: 0.3186, decode.d2.loss_mask: 0.5189, decode.d2.loss_dice: 0.7699, decode.d3.loss_cls: 0.3042, decode.d3.loss_mask: 0.5122, decode.d3.loss_dice: 0.7510, decode.d4.loss_cls: 0.2909, decode.d4.loss_mask: 0.5134, decode.d4.loss_dice: 0.7586, decode.d5.loss_cls: 0.2894, decode.d5.loss_mask: 0.5092, decode.d5.loss_dice: 0.7533, decode.d6.loss_cls: 0.2879, decode.d6.loss_mask: 0.5107, decode.d6.loss_dice: 0.7495, decode.d7.loss_cls: 0.2774, decode.d7.loss_mask: 0.5125, decode.d7.loss_dice: 0.7496, decode.d8.loss_cls: 0.2757, decode.d8.loss_mask: 0.5122, decode.d8.loss_dice: 0.7508, loss: 16.9193, grad_norm: 68.0460 2023-11-22 09:50:51,309 - mmseg - INFO - Iter [77250/160000] lr: 4.926e-06, eta: 13:29:10, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2742, decode.loss_mask: 0.5152, decode.loss_dice: 0.7586, decode.d0.loss_cls: 1.3760, decode.d0.loss_mask: 0.5570, decode.d0.loss_dice: 0.8609, decode.d1.loss_cls: 0.3533, decode.d1.loss_mask: 0.5434, decode.d1.loss_dice: 0.8067, decode.d2.loss_cls: 0.3093, decode.d2.loss_mask: 0.5254, decode.d2.loss_dice: 0.7807, decode.d3.loss_cls: 0.2947, decode.d3.loss_mask: 0.5172, decode.d3.loss_dice: 0.7600, decode.d4.loss_cls: 0.2872, decode.d4.loss_mask: 0.5153, decode.d4.loss_dice: 0.7612, decode.d5.loss_cls: 0.2827, decode.d5.loss_mask: 0.5156, decode.d5.loss_dice: 0.7566, decode.d6.loss_cls: 0.2747, decode.d6.loss_mask: 0.5146, decode.d6.loss_dice: 0.7586, decode.d7.loss_cls: 0.2726, decode.d7.loss_mask: 0.5139, decode.d7.loss_dice: 0.7588, decode.d8.loss_cls: 0.2725, decode.d8.loss_mask: 0.5136, decode.d8.loss_dice: 0.7570, loss: 16.9874, grad_norm: 68.2194 2023-11-22 09:51:20,087 - mmseg - INFO - Iter [77300/160000] lr: 4.923e-06, eta: 13:28:40, time: 0.576, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2715, decode.loss_mask: 0.4889, decode.loss_dice: 0.7631, decode.d0.loss_cls: 1.4347, decode.d0.loss_mask: 0.5252, decode.d0.loss_dice: 0.8648, decode.d1.loss_cls: 0.3660, decode.d1.loss_mask: 0.5074, decode.d1.loss_dice: 0.8139, decode.d2.loss_cls: 0.3200, decode.d2.loss_mask: 0.4952, decode.d2.loss_dice: 0.7874, decode.d3.loss_cls: 0.2993, decode.d3.loss_mask: 0.4869, decode.d3.loss_dice: 0.7711, decode.d4.loss_cls: 0.2838, decode.d4.loss_mask: 0.4886, decode.d4.loss_dice: 0.7684, decode.d5.loss_cls: 0.2863, decode.d5.loss_mask: 0.4874, decode.d5.loss_dice: 0.7729, decode.d6.loss_cls: 0.2789, decode.d6.loss_mask: 0.4866, decode.d6.loss_dice: 0.7634, decode.d7.loss_cls: 0.2768, decode.d7.loss_mask: 0.4884, decode.d7.loss_dice: 0.7620, decode.d8.loss_cls: 0.2770, decode.d8.loss_mask: 0.4887, decode.d8.loss_dice: 0.7645, loss: 16.8689, grad_norm: 69.6855 2023-11-22 09:51:48,581 - mmseg - INFO - Iter [77350/160000] lr: 4.920e-06, eta: 13:28:10, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2946, decode.loss_mask: 0.4976, decode.loss_dice: 0.7686, decode.d0.loss_cls: 1.4231, decode.d0.loss_mask: 0.5319, decode.d0.loss_dice: 0.8628, decode.d1.loss_cls: 0.3899, decode.d1.loss_mask: 0.5168, decode.d1.loss_dice: 0.8081, decode.d2.loss_cls: 0.3378, decode.d2.loss_mask: 0.5088, decode.d2.loss_dice: 0.7844, decode.d3.loss_cls: 0.3166, decode.d3.loss_mask: 0.5052, decode.d3.loss_dice: 0.7700, decode.d4.loss_cls: 0.3107, decode.d4.loss_mask: 0.5034, decode.d4.loss_dice: 0.7704, decode.d5.loss_cls: 0.3037, decode.d5.loss_mask: 0.5036, decode.d5.loss_dice: 0.7689, decode.d6.loss_cls: 0.2977, decode.d6.loss_mask: 0.5029, decode.d6.loss_dice: 0.7667, decode.d7.loss_cls: 0.2939, decode.d7.loss_mask: 0.5012, decode.d7.loss_dice: 0.7636, decode.d8.loss_cls: 0.2966, decode.d8.loss_mask: 0.4999, decode.d8.loss_dice: 0.7646, loss: 17.1640, grad_norm: 72.6243 2023-11-22 09:52:17,204 - mmseg - INFO - Iter [77400/160000] lr: 4.917e-06, eta: 13:27:40, time: 0.572, data_time: 0.015, memory: 38143, decode.loss_cls: 0.2899, decode.loss_mask: 0.5105, decode.loss_dice: 0.7582, decode.d0.loss_cls: 1.4105, decode.d0.loss_mask: 0.5417, decode.d0.loss_dice: 0.8634, decode.d1.loss_cls: 0.3837, decode.d1.loss_mask: 0.5265, decode.d1.loss_dice: 0.8147, decode.d2.loss_cls: 0.3224, decode.d2.loss_mask: 0.5175, decode.d2.loss_dice: 0.7892, decode.d3.loss_cls: 0.3047, decode.d3.loss_mask: 0.5116, decode.d3.loss_dice: 0.7707, decode.d4.loss_cls: 0.2973, decode.d4.loss_mask: 0.5111, decode.d4.loss_dice: 0.7692, decode.d5.loss_cls: 0.2941, decode.d5.loss_mask: 0.5108, decode.d5.loss_dice: 0.7679, decode.d6.loss_cls: 0.2918, decode.d6.loss_mask: 0.5093, decode.d6.loss_dice: 0.7635, decode.d7.loss_cls: 0.2856, decode.d7.loss_mask: 0.5117, decode.d7.loss_dice: 0.7664, decode.d8.loss_cls: 0.2859, decode.d8.loss_mask: 0.5090, decode.d8.loss_dice: 0.7645, loss: 17.1531, grad_norm: 81.2055 2023-11-22 09:52:45,671 - mmseg - INFO - Iter [77450/160000] lr: 4.914e-06, eta: 13:27:10, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2589, decode.loss_mask: 0.5298, decode.loss_dice: 0.7616, decode.d0.loss_cls: 1.3724, decode.d0.loss_mask: 0.5678, decode.d0.loss_dice: 0.8511, decode.d1.loss_cls: 0.3388, decode.d1.loss_mask: 0.5493, decode.d1.loss_dice: 0.8110, decode.d2.loss_cls: 0.2882, decode.d2.loss_mask: 0.5387, decode.d2.loss_dice: 0.7814, decode.d3.loss_cls: 0.2701, decode.d3.loss_mask: 0.5337, decode.d3.loss_dice: 0.7670, decode.d4.loss_cls: 0.2592, decode.d4.loss_mask: 0.5314, decode.d4.loss_dice: 0.7745, decode.d5.loss_cls: 0.2615, decode.d5.loss_mask: 0.5294, decode.d5.loss_dice: 0.7698, decode.d6.loss_cls: 0.2555, decode.d6.loss_mask: 0.5313, decode.d6.loss_dice: 0.7638, decode.d7.loss_cls: 0.2561, decode.d7.loss_mask: 0.5338, decode.d7.loss_dice: 0.7634, decode.d8.loss_cls: 0.2555, decode.d8.loss_mask: 0.5319, decode.d8.loss_dice: 0.7653, loss: 17.0025, grad_norm: 72.5928 2023-11-22 09:53:14,071 - mmseg - INFO - Iter [77500/160000] lr: 4.911e-06, eta: 13:26:39, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2634, decode.loss_mask: 0.5180, decode.loss_dice: 0.7643, decode.d0.loss_cls: 1.4143, decode.d0.loss_mask: 0.5601, decode.d0.loss_dice: 0.8564, decode.d1.loss_cls: 0.3565, decode.d1.loss_mask: 0.5429, decode.d1.loss_dice: 0.8049, decode.d2.loss_cls: 0.3021, decode.d2.loss_mask: 0.5281, decode.d2.loss_dice: 0.7819, decode.d3.loss_cls: 0.2837, decode.d3.loss_mask: 0.5189, decode.d3.loss_dice: 0.7681, decode.d4.loss_cls: 0.2733, decode.d4.loss_mask: 0.5178, decode.d4.loss_dice: 0.7709, decode.d5.loss_cls: 0.2715, decode.d5.loss_mask: 0.5182, decode.d5.loss_dice: 0.7705, decode.d6.loss_cls: 0.2670, decode.d6.loss_mask: 0.5151, decode.d6.loss_dice: 0.7652, decode.d7.loss_cls: 0.2630, decode.d7.loss_mask: 0.5180, decode.d7.loss_dice: 0.7673, decode.d8.loss_cls: 0.2597, decode.d8.loss_mask: 0.5171, decode.d8.loss_dice: 0.7652, loss: 17.0231, grad_norm: 68.9511 2023-11-22 09:53:42,672 - mmseg - INFO - Iter [77550/160000] lr: 4.908e-06, eta: 13:26:09, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2975, decode.loss_mask: 0.5225, decode.loss_dice: 0.7862, decode.d0.loss_cls: 1.4493, decode.d0.loss_mask: 0.5621, decode.d0.loss_dice: 0.8786, decode.d1.loss_cls: 0.4008, decode.d1.loss_mask: 0.5459, decode.d1.loss_dice: 0.8319, decode.d2.loss_cls: 0.3436, decode.d2.loss_mask: 0.5324, decode.d2.loss_dice: 0.8071, decode.d3.loss_cls: 0.3187, decode.d3.loss_mask: 0.5225, decode.d3.loss_dice: 0.7919, decode.d4.loss_cls: 0.3191, decode.d4.loss_mask: 0.5224, decode.d4.loss_dice: 0.7926, decode.d5.loss_cls: 0.3132, decode.d5.loss_mask: 0.5221, decode.d5.loss_dice: 0.7885, decode.d6.loss_cls: 0.3051, decode.d6.loss_mask: 0.5234, decode.d6.loss_dice: 0.7854, decode.d7.loss_cls: 0.3012, decode.d7.loss_mask: 0.5218, decode.d7.loss_dice: 0.7885, decode.d8.loss_cls: 0.2977, decode.d8.loss_mask: 0.5235, decode.d8.loss_dice: 0.7902, loss: 17.6857, grad_norm: 73.3186 2023-11-22 09:54:11,037 - mmseg - INFO - Iter [77600/160000] lr: 4.905e-06, eta: 13:25:39, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2829, decode.loss_mask: 0.5188, decode.loss_dice: 0.7797, decode.d0.loss_cls: 1.3783, decode.d0.loss_mask: 0.5535, decode.d0.loss_dice: 0.8678, decode.d1.loss_cls: 0.3769, decode.d1.loss_mask: 0.5393, decode.d1.loss_dice: 0.8279, decode.d2.loss_cls: 0.3183, decode.d2.loss_mask: 0.5304, decode.d2.loss_dice: 0.8031, decode.d3.loss_cls: 0.3025, decode.d3.loss_mask: 0.5241, decode.d3.loss_dice: 0.7916, decode.d4.loss_cls: 0.2930, decode.d4.loss_mask: 0.5232, decode.d4.loss_dice: 0.7934, decode.d5.loss_cls: 0.2911, decode.d5.loss_mask: 0.5229, decode.d5.loss_dice: 0.7890, decode.d6.loss_cls: 0.2876, decode.d6.loss_mask: 0.5221, decode.d6.loss_dice: 0.7878, decode.d7.loss_cls: 0.2872, decode.d7.loss_mask: 0.5193, decode.d7.loss_dice: 0.7855, decode.d8.loss_cls: 0.2849, decode.d8.loss_mask: 0.5192, decode.d8.loss_dice: 0.7842, loss: 17.3856, grad_norm: 72.6681 2023-11-22 09:54:39,385 - mmseg - INFO - Iter [77650/160000] lr: 4.902e-06, eta: 13:25:08, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2679, decode.loss_mask: 0.5220, decode.loss_dice: 0.7628, decode.d0.loss_cls: 1.3869, decode.d0.loss_mask: 0.5618, decode.d0.loss_dice: 0.8485, decode.d1.loss_cls: 0.3439, decode.d1.loss_mask: 0.5415, decode.d1.loss_dice: 0.8038, decode.d2.loss_cls: 0.3008, decode.d2.loss_mask: 0.5328, decode.d2.loss_dice: 0.7817, decode.d3.loss_cls: 0.2882, decode.d3.loss_mask: 0.5279, decode.d3.loss_dice: 0.7691, decode.d4.loss_cls: 0.2736, decode.d4.loss_mask: 0.5248, decode.d4.loss_dice: 0.7713, decode.d5.loss_cls: 0.2697, decode.d5.loss_mask: 0.5267, decode.d5.loss_dice: 0.7719, decode.d6.loss_cls: 0.2700, decode.d6.loss_mask: 0.5232, decode.d6.loss_dice: 0.7613, decode.d7.loss_cls: 0.2684, decode.d7.loss_mask: 0.5239, decode.d7.loss_dice: 0.7671, decode.d8.loss_cls: 0.2681, decode.d8.loss_mask: 0.5202, decode.d8.loss_dice: 0.7624, loss: 17.0423, grad_norm: 72.2508 2023-11-22 09:55:07,770 - mmseg - INFO - Iter [77700/160000] lr: 4.899e-06, eta: 13:24:38, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2821, decode.loss_mask: 0.5107, decode.loss_dice: 0.7720, decode.d0.loss_cls: 1.4085, decode.d0.loss_mask: 0.5470, decode.d0.loss_dice: 0.8627, decode.d1.loss_cls: 0.3659, decode.d1.loss_mask: 0.5353, decode.d1.loss_dice: 0.8174, decode.d2.loss_cls: 0.3206, decode.d2.loss_mask: 0.5204, decode.d2.loss_dice: 0.7900, decode.d3.loss_cls: 0.2966, decode.d3.loss_mask: 0.5164, decode.d3.loss_dice: 0.7767, decode.d4.loss_cls: 0.2939, decode.d4.loss_mask: 0.5141, decode.d4.loss_dice: 0.7771, decode.d5.loss_cls: 0.2901, decode.d5.loss_mask: 0.5134, decode.d5.loss_dice: 0.7777, decode.d6.loss_cls: 0.2895, decode.d6.loss_mask: 0.5107, decode.d6.loss_dice: 0.7692, decode.d7.loss_cls: 0.2837, decode.d7.loss_mask: 0.5106, decode.d7.loss_dice: 0.7725, decode.d8.loss_cls: 0.2853, decode.d8.loss_mask: 0.5111, decode.d8.loss_dice: 0.7722, loss: 17.1933, grad_norm: 69.6961 2023-11-22 09:55:37,352 - mmseg - INFO - Iter [77750/160000] lr: 4.896e-06, eta: 13:24:09, time: 0.592, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2855, decode.loss_mask: 0.5303, decode.loss_dice: 0.7767, decode.d0.loss_cls: 1.3637, decode.d0.loss_mask: 0.5589, decode.d0.loss_dice: 0.8689, decode.d1.loss_cls: 0.3685, decode.d1.loss_mask: 0.5451, decode.d1.loss_dice: 0.8243, decode.d2.loss_cls: 0.3191, decode.d2.loss_mask: 0.5383, decode.d2.loss_dice: 0.7995, decode.d3.loss_cls: 0.2983, decode.d3.loss_mask: 0.5354, decode.d3.loss_dice: 0.7830, decode.d4.loss_cls: 0.2933, decode.d4.loss_mask: 0.5330, decode.d4.loss_dice: 0.7808, decode.d5.loss_cls: 0.2888, decode.d5.loss_mask: 0.5321, decode.d5.loss_dice: 0.7833, decode.d6.loss_cls: 0.2857, decode.d6.loss_mask: 0.5317, decode.d6.loss_dice: 0.7828, decode.d7.loss_cls: 0.2795, decode.d7.loss_mask: 0.5313, decode.d7.loss_dice: 0.7791, decode.d8.loss_cls: 0.2800, decode.d8.loss_mask: 0.5309, decode.d8.loss_dice: 0.7758, loss: 17.3838, grad_norm: 69.0057 2023-11-22 09:56:06,524 - mmseg - INFO - Iter [77800/160000] lr: 4.893e-06, eta: 13:23:39, time: 0.583, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2874, decode.loss_mask: 0.5161, decode.loss_dice: 0.7672, decode.d0.loss_cls: 1.4084, decode.d0.loss_mask: 0.5551, decode.d0.loss_dice: 0.8703, decode.d1.loss_cls: 0.3838, decode.d1.loss_mask: 0.5352, decode.d1.loss_dice: 0.8072, decode.d2.loss_cls: 0.3285, decode.d2.loss_mask: 0.5264, decode.d2.loss_dice: 0.7819, decode.d3.loss_cls: 0.3067, decode.d3.loss_mask: 0.5227, decode.d3.loss_dice: 0.7732, decode.d4.loss_cls: 0.2965, decode.d4.loss_mask: 0.5186, decode.d4.loss_dice: 0.7745, decode.d5.loss_cls: 0.2975, decode.d5.loss_mask: 0.5158, decode.d5.loss_dice: 0.7729, decode.d6.loss_cls: 0.2935, decode.d6.loss_mask: 0.5147, decode.d6.loss_dice: 0.7671, decode.d7.loss_cls: 0.2869, decode.d7.loss_mask: 0.5173, decode.d7.loss_dice: 0.7654, decode.d8.loss_cls: 0.2872, decode.d8.loss_mask: 0.5167, decode.d8.loss_dice: 0.7660, loss: 17.2605, grad_norm: 65.9051 2023-11-22 09:56:36,937 - mmseg - INFO - Iter [77850/160000] lr: 4.890e-06, eta: 13:23:11, time: 0.608, data_time: 0.013, memory: 38143, decode.loss_cls: 0.3004, decode.loss_mask: 0.5249, decode.loss_dice: 0.7920, decode.d0.loss_cls: 1.4545, decode.d0.loss_mask: 0.5648, decode.d0.loss_dice: 0.8870, decode.d1.loss_cls: 0.4023, decode.d1.loss_mask: 0.5446, decode.d1.loss_dice: 0.8427, decode.d2.loss_cls: 0.3402, decode.d2.loss_mask: 0.5331, decode.d2.loss_dice: 0.8115, decode.d3.loss_cls: 0.3223, decode.d3.loss_mask: 0.5289, decode.d3.loss_dice: 0.7967, decode.d4.loss_cls: 0.3162, decode.d4.loss_mask: 0.5275, decode.d4.loss_dice: 0.7978, decode.d5.loss_cls: 0.3104, decode.d5.loss_mask: 0.5276, decode.d5.loss_dice: 0.7905, decode.d6.loss_cls: 0.3088, decode.d6.loss_mask: 0.5255, decode.d6.loss_dice: 0.7860, decode.d7.loss_cls: 0.3076, decode.d7.loss_mask: 0.5266, decode.d7.loss_dice: 0.7877, decode.d8.loss_cls: 0.3075, decode.d8.loss_mask: 0.5252, decode.d8.loss_dice: 0.7917, loss: 17.7824, grad_norm: 75.6030 2023-11-22 09:57:06,263 - mmseg - INFO - Iter [77900/160000] lr: 4.888e-06, eta: 13:22:42, time: 0.587, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2814, decode.loss_mask: 0.4928, decode.loss_dice: 0.7519, decode.d0.loss_cls: 1.4337, decode.d0.loss_mask: 0.5288, decode.d0.loss_dice: 0.8592, decode.d1.loss_cls: 0.3925, decode.d1.loss_mask: 0.5135, decode.d1.loss_dice: 0.7942, decode.d2.loss_cls: 0.3230, decode.d2.loss_mask: 0.5027, decode.d2.loss_dice: 0.7733, decode.d3.loss_cls: 0.3053, decode.d3.loss_mask: 0.4925, decode.d3.loss_dice: 0.7584, decode.d4.loss_cls: 0.2955, decode.d4.loss_mask: 0.4918, decode.d4.loss_dice: 0.7543, decode.d5.loss_cls: 0.2909, decode.d5.loss_mask: 0.4919, decode.d5.loss_dice: 0.7558, decode.d6.loss_cls: 0.2880, decode.d6.loss_mask: 0.4903, decode.d6.loss_dice: 0.7491, decode.d7.loss_cls: 0.2875, decode.d7.loss_mask: 0.4900, decode.d7.loss_dice: 0.7436, decode.d8.loss_cls: 0.2803, decode.d8.loss_mask: 0.4902, decode.d8.loss_dice: 0.7499, loss: 16.8520, grad_norm: 67.8877 2023-11-22 09:57:38,814 - mmseg - INFO - Iter [77950/160000] lr: 4.885e-06, eta: 13:22:16, time: 0.651, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2655, decode.loss_mask: 0.5362, decode.loss_dice: 0.7769, decode.d0.loss_cls: 1.3746, decode.d0.loss_mask: 0.5651, decode.d0.loss_dice: 0.8627, decode.d1.loss_cls: 0.3602, decode.d1.loss_mask: 0.5538, decode.d1.loss_dice: 0.8132, decode.d2.loss_cls: 0.3040, decode.d2.loss_mask: 0.5427, decode.d2.loss_dice: 0.7960, decode.d3.loss_cls: 0.2869, decode.d3.loss_mask: 0.5385, decode.d3.loss_dice: 0.7810, decode.d4.loss_cls: 0.2826, decode.d4.loss_mask: 0.5359, decode.d4.loss_dice: 0.7821, decode.d5.loss_cls: 0.2756, decode.d5.loss_mask: 0.5348, decode.d5.loss_dice: 0.7842, decode.d6.loss_cls: 0.2718, decode.d6.loss_mask: 0.5363, decode.d6.loss_dice: 0.7757, decode.d7.loss_cls: 0.2709, decode.d7.loss_mask: 0.5353, decode.d7.loss_dice: 0.7798, decode.d8.loss_cls: 0.2734, decode.d8.loss_mask: 0.5351, decode.d8.loss_dice: 0.7763, loss: 17.3070, grad_norm: 73.9954 2023-11-22 09:58:08,030 - mmseg - INFO - Saving checkpoint at 78000 iterations 2023-11-22 09:58:16,155 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 09:58:16,155 - mmseg - INFO - Iter [78000/160000] lr: 4.882e-06, eta: 13:21:55, time: 0.747, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2739, decode.loss_mask: 0.4981, decode.loss_dice: 0.7421, decode.d0.loss_cls: 1.3700, decode.d0.loss_mask: 0.5331, decode.d0.loss_dice: 0.8368, decode.d1.loss_cls: 0.3577, decode.d1.loss_mask: 0.5200, decode.d1.loss_dice: 0.7857, decode.d2.loss_cls: 0.3087, decode.d2.loss_mask: 0.5078, decode.d2.loss_dice: 0.7608, decode.d3.loss_cls: 0.2921, decode.d3.loss_mask: 0.5004, decode.d3.loss_dice: 0.7482, decode.d4.loss_cls: 0.2840, decode.d4.loss_mask: 0.5004, decode.d4.loss_dice: 0.7421, decode.d5.loss_cls: 0.2815, decode.d5.loss_mask: 0.5003, decode.d5.loss_dice: 0.7401, decode.d6.loss_cls: 0.2770, decode.d6.loss_mask: 0.5000, decode.d6.loss_dice: 0.7380, decode.d7.loss_cls: 0.2807, decode.d7.loss_mask: 0.5012, decode.d7.loss_dice: 0.7390, decode.d8.loss_cls: 0.2728, decode.d8.loss_mask: 0.4993, decode.d8.loss_dice: 0.7420, loss: 16.6337, grad_norm: 69.3460 2023-11-22 09:58:35,799 - mmseg - INFO - per class results: 2023-11-22 09:58:35,809 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.07 | 88.47 | | building | 83.66 | 90.29 | | sky | 94.98 | 98.02 | | floor | 83.69 | 91.06 | | tree | 76.35 | 88.1 | | ceiling | 85.68 | 92.09 | | road | 86.11 | 91.24 | | bed | 92.02 | 95.72 | | windowpane | 64.8 | 83.12 | | grass | 68.17 | 82.43 | | cabinet | 61.77 | 72.06 | | sidewalk | 69.77 | 78.93 | | person | 86.39 | 93.1 | | earth | 41.06 | 52.5 | | door | 53.2 | 67.01 | | table | 69.24 | 81.75 | | mountain | 60.53 | 76.37 | | plant | 54.94 | 68.99 | | curtain | 79.23 | 87.34 | | chair | 67.12 | 80.85 | | car | 87.51 | 92.95 | | water | 61.25 | 72.08 | | painting | 76.58 | 88.99 | | sofa | 75.41 | 89.94 | | shelf | 45.79 | 66.08 | | house | 42.05 | 78.2 | | sea | 62.41 | 90.13 | | mirror | 74.33 | 83.8 | | rug | 68.43 | 82.35 | | field | 33.37 | 58.65 | | armchair | 52.25 | 67.92 | | seat | 64.38 | 82.13 | | fence | 50.17 | 72.66 | | desk | 59.8 | 80.4 | | rock | 47.11 | 70.67 | | wardrobe | 50.03 | 74.47 | | lamp | 73.83 | 84.18 | | bathtub | 80.21 | 87.28 | | railing | 38.8 | 58.63 | | cushion | 67.22 | 79.18 | | base | 35.88 | 49.06 | | box | 31.78 | 43.96 | | column | 52.19 | 69.41 | | signboard | 42.41 | 58.61 | | chest of drawers | 40.27 | 71.82 | | counter | 44.41 | 53.01 | | sand | 50.8 | 77.52 | | sink | 76.81 | 84.98 | | skyscraper | 63.08 | 81.62 | | fireplace | 73.11 | 90.6 | | refrigerator | 84.31 | 91.84 | | grandstand | 40.23 | 72.97 | | path | 22.36 | 36.94 | | stairs | 28.81 | 39.64 | | runway | 75.79 | 97.7 | | case | 71.73 | 82.61 | | pool table | 94.14 | 97.64 | | pillow | 64.17 | 79.68 | | screen door | 81.1 | 94.01 | | stairway | 35.89 | 52.42 | | river | 15.81 | 19.98 | | bridge | 80.68 | 91.23 | | bookcase | 32.94 | 55.39 | | blind | 40.04 | 47.66 | | coffee table | 68.04 | 86.97 | | toilet | 87.65 | 92.48 | | flower | 44.32 | 61.85 | | book | 51.0 | 75.81 | | hill | 7.87 | 14.76 | | bench | 63.62 | 72.96 | | countertop | 59.08 | 75.96 | | stove | 84.09 | 87.78 | | palm | 55.28 | 78.85 | | kitchen island | 39.91 | 77.2 | | computer | 72.07 | 80.67 | | swivel chair | 50.47 | 63.64 | | boat | 46.84 | 57.6 | | bar | 55.6 | 60.6 | | arcade machine | 76.3 | 81.35 | | hovel | 39.74 | 49.05 | | bus | 93.33 | 96.49 | | towel | 78.36 | 90.19 | | light | 65.9 | 78.69 | | truck | 42.74 | 53.71 | | tower | 48.41 | 75.59 | | chandelier | 72.91 | 85.7 | | awning | 38.26 | 52.14 | | streetlight | 45.53 | 61.02 | | booth | 63.84 | 65.36 | | television receiver | 73.92 | 87.97 | | airplane | 67.48 | 74.14 | | dirt track | 7.83 | 51.9 | | apparel | 45.95 | 72.18 | | pole | 35.5 | 60.15 | | land | 4.04 | 5.7 | | bannister | 19.02 | 27.56 | | escalator | 25.28 | 26.64 | | ottoman | 58.13 | 75.26 | | bottle | 43.38 | 76.61 | | buffet | 38.41 | 46.03 | | poster | 34.19 | 48.93 | | stage | 21.67 | 48.28 | | van | 44.01 | 71.22 | | ship | 11.25 | 20.01 | | fountain | 21.5 | 21.88 | | conveyer belt | 67.56 | 94.73 | | canopy | 28.35 | 74.79 | | washer | 71.84 | 75.18 | | plaything | 30.57 | 57.09 | | swimming pool | 53.04 | 71.36 | | stool | 48.24 | 63.39 | | barrel | 18.69 | 98.01 | | basket | 46.65 | 60.07 | | waterfall | 53.6 | 79.65 | | tent | 95.24 | 97.99 | | bag | 27.86 | 38.72 | | minibike | 71.79 | 89.44 | | cradle | 90.39 | 97.59 | | oven | 29.23 | 82.14 | | ball | 17.55 | 18.48 | | food | 71.03 | 81.2 | | step | 22.72 | 30.47 | | tank | 52.95 | 66.41 | | trade name | 29.69 | 35.86 | | microwave | 43.69 | 46.41 | | pot | 49.44 | 60.13 | | animal | 58.58 | 59.7 | | bicycle | 59.56 | 83.14 | | lake | 45.7 | 63.28 | | dishwasher | 81.93 | 89.22 | | screen | 49.25 | 91.76 | | blanket | 40.15 | 52.69 | | sculpture | 71.02 | 89.23 | | hood | 74.26 | 77.44 | | sconce | 61.68 | 72.16 | | vase | 53.03 | 76.16 | | traffic light | 38.96 | 66.41 | | tray | 24.9 | 36.64 | | ashcan | 53.98 | 74.32 | | fan | 72.06 | 85.16 | | pier | 15.38 | 16.33 | | crt screen | 5.0 | 12.69 | | plate | 65.85 | 82.78 | | monitor | 2.03 | 2.88 | | bulletin board | 54.98 | 77.04 | | shower | 18.75 | 24.2 | | radiator | 61.82 | 82.73 | | glass | 24.78 | 27.31 | | clock | 56.83 | 68.5 | | flag | 51.2 | 57.11 | +---------------------+-------+-------+ 2023-11-22 09:58:35,809 - mmseg - INFO - Summary: 2023-11-22 09:58:35,809 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.95 | 54.09 | 68.93 | +-------+-------+-------+ 2023-11-22 09:58:35,811 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 09:58:35,811 - mmseg - INFO - Iter(val) [250] aAcc: 0.8495, mIoU: 0.5409, mAcc: 0.6893, IoU.wall: 0.8107, IoU.building: 0.8366, IoU.sky: 0.9498, IoU.floor: 0.8369, IoU.tree: 0.7635, IoU.ceiling: 0.8568, IoU.road: 0.8611, IoU.bed : 0.9202, IoU.windowpane: 0.6480, IoU.grass: 0.6817, IoU.cabinet: 0.6177, IoU.sidewalk: 0.6977, IoU.person: 0.8639, IoU.earth: 0.4106, IoU.door: 0.5320, IoU.table: 0.6924, IoU.mountain: 0.6053, IoU.plant: 0.5494, IoU.curtain: 0.7923, IoU.chair: 0.6712, IoU.car: 0.8751, IoU.water: 0.6125, IoU.painting: 0.7658, IoU.sofa: 0.7541, IoU.shelf: 0.4579, IoU.house: 0.4205, IoU.sea: 0.6241, IoU.mirror: 0.7433, IoU.rug: 0.6843, IoU.field: 0.3337, IoU.armchair: 0.5225, IoU.seat: 0.6438, IoU.fence: 0.5017, IoU.desk: 0.5980, IoU.rock: 0.4711, IoU.wardrobe: 0.5003, IoU.lamp: 0.7383, IoU.bathtub: 0.8021, IoU.railing: 0.3880, IoU.cushion: 0.6722, IoU.base: 0.3588, IoU.box: 0.3178, IoU.column: 0.5219, IoU.signboard: 0.4241, IoU.chest of drawers: 0.4027, IoU.counter: 0.4441, IoU.sand: 0.5080, IoU.sink: 0.7681, IoU.skyscraper: 0.6308, IoU.fireplace: 0.7311, IoU.refrigerator: 0.8431, IoU.grandstand: 0.4023, IoU.path: 0.2236, IoU.stairs: 0.2881, IoU.runway: 0.7579, IoU.case: 0.7173, IoU.pool table: 0.9414, IoU.pillow: 0.6417, IoU.screen door: 0.8110, IoU.stairway: 0.3589, IoU.river: 0.1581, IoU.bridge: 0.8068, IoU.bookcase: 0.3294, IoU.blind: 0.4004, IoU.coffee table: 0.6804, IoU.toilet: 0.8765, IoU.flower: 0.4432, IoU.book: 0.5100, IoU.hill: 0.0787, IoU.bench: 0.6362, IoU.countertop: 0.5908, IoU.stove: 0.8409, IoU.palm: 0.5528, IoU.kitchen island: 0.3991, IoU.computer: 0.7207, IoU.swivel chair: 0.5047, IoU.boat: 0.4684, IoU.bar: 0.5560, IoU.arcade machine: 0.7630, IoU.hovel: 0.3974, IoU.bus: 0.9333, IoU.towel: 0.7836, IoU.light: 0.6590, IoU.truck: 0.4274, IoU.tower: 0.4841, IoU.chandelier: 0.7291, IoU.awning: 0.3826, IoU.streetlight: 0.4553, IoU.booth: 0.6384, IoU.television receiver: 0.7392, IoU.airplane: 0.6748, IoU.dirt track: 0.0783, IoU.apparel: 0.4595, IoU.pole: 0.3550, IoU.land: 0.0404, IoU.bannister: 0.1902, IoU.escalator: 0.2528, IoU.ottoman: 0.5813, IoU.bottle: 0.4338, IoU.buffet: 0.3841, IoU.poster: 0.3419, IoU.stage: 0.2167, IoU.van: 0.4401, IoU.ship: 0.1125, IoU.fountain: 0.2150, IoU.conveyer belt: 0.6756, IoU.canopy: 0.2835, IoU.washer: 0.7184, IoU.plaything: 0.3057, IoU.swimming pool: 0.5304, IoU.stool: 0.4824, IoU.barrel: 0.1869, IoU.basket: 0.4665, IoU.waterfall: 0.5360, IoU.tent: 0.9524, IoU.bag: 0.2786, IoU.minibike: 0.7179, IoU.cradle: 0.9039, IoU.oven: 0.2923, IoU.ball: 0.1755, IoU.food: 0.7103, IoU.step: 0.2272, IoU.tank: 0.5295, IoU.trade name: 0.2969, IoU.microwave: 0.4369, IoU.pot: 0.4944, IoU.animal: 0.5858, IoU.bicycle: 0.5956, IoU.lake: 0.4570, IoU.dishwasher: 0.8193, IoU.screen: 0.4925, IoU.blanket: 0.4015, IoU.sculpture: 0.7102, IoU.hood: 0.7426, IoU.sconce: 0.6168, IoU.vase: 0.5303, IoU.traffic light: 0.3896, IoU.tray: 0.2490, IoU.ashcan: 0.5398, IoU.fan: 0.7206, IoU.pier: 0.1538, IoU.crt screen: 0.0500, IoU.plate: 0.6585, IoU.monitor: 0.0203, IoU.bulletin board: 0.5498, IoU.shower: 0.1875, IoU.radiator: 0.6182, IoU.glass: 0.2478, IoU.clock: 0.5683, IoU.flag: 0.5120, Acc.wall: 0.8847, Acc.building: 0.9029, Acc.sky: 0.9802, Acc.floor: 0.9106, Acc.tree: 0.8810, Acc.ceiling: 0.9209, Acc.road: 0.9124, Acc.bed : 0.9572, Acc.windowpane: 0.8312, Acc.grass: 0.8243, Acc.cabinet: 0.7206, Acc.sidewalk: 0.7893, Acc.person: 0.9310, Acc.earth: 0.5250, Acc.door: 0.6701, Acc.table: 0.8175, Acc.mountain: 0.7637, Acc.plant: 0.6899, Acc.curtain: 0.8734, Acc.chair: 0.8085, Acc.car: 0.9295, Acc.water: 0.7208, Acc.painting: 0.8899, Acc.sofa: 0.8994, Acc.shelf: 0.6608, Acc.house: 0.7820, Acc.sea: 0.9013, Acc.mirror: 0.8380, Acc.rug: 0.8235, Acc.field: 0.5865, Acc.armchair: 0.6792, Acc.seat: 0.8213, Acc.fence: 0.7266, Acc.desk: 0.8040, Acc.rock: 0.7067, Acc.wardrobe: 0.7447, Acc.lamp: 0.8418, Acc.bathtub: 0.8728, Acc.railing: 0.5863, Acc.cushion: 0.7918, Acc.base: 0.4906, Acc.box: 0.4396, Acc.column: 0.6941, Acc.signboard: 0.5861, Acc.chest of drawers: 0.7182, Acc.counter: 0.5301, Acc.sand: 0.7752, Acc.sink: 0.8498, Acc.skyscraper: 0.8162, Acc.fireplace: 0.9060, Acc.refrigerator: 0.9184, Acc.grandstand: 0.7297, Acc.path: 0.3694, Acc.stairs: 0.3964, Acc.runway: 0.9770, Acc.case: 0.8261, Acc.pool table: 0.9764, Acc.pillow: 0.7968, Acc.screen door: 0.9401, Acc.stairway: 0.5242, Acc.river: 0.1998, Acc.bridge: 0.9123, Acc.bookcase: 0.5539, Acc.blind: 0.4766, Acc.coffee table: 0.8697, Acc.toilet: 0.9248, Acc.flower: 0.6185, Acc.book: 0.7581, Acc.hill: 0.1476, Acc.bench: 0.7296, Acc.countertop: 0.7596, Acc.stove: 0.8778, Acc.palm: 0.7885, Acc.kitchen island: 0.7720, Acc.computer: 0.8067, Acc.swivel chair: 0.6364, Acc.boat: 0.5760, Acc.bar: 0.6060, Acc.arcade machine: 0.8135, Acc.hovel: 0.4905, Acc.bus: 0.9649, Acc.towel: 0.9019, Acc.light: 0.7869, Acc.truck: 0.5371, Acc.tower: 0.7559, Acc.chandelier: 0.8570, Acc.awning: 0.5214, Acc.streetlight: 0.6102, Acc.booth: 0.6536, Acc.television receiver: 0.8797, Acc.airplane: 0.7414, Acc.dirt track: 0.5190, Acc.apparel: 0.7218, Acc.pole: 0.6015, Acc.land: 0.0570, Acc.bannister: 0.2756, Acc.escalator: 0.2664, Acc.ottoman: 0.7526, Acc.bottle: 0.7661, Acc.buffet: 0.4603, Acc.poster: 0.4893, Acc.stage: 0.4828, Acc.van: 0.7122, Acc.ship: 0.2001, Acc.fountain: 0.2188, Acc.conveyer belt: 0.9473, Acc.canopy: 0.7479, Acc.washer: 0.7518, Acc.plaything: 0.5709, Acc.swimming pool: 0.7136, Acc.stool: 0.6339, Acc.barrel: 0.9801, Acc.basket: 0.6007, Acc.waterfall: 0.7965, Acc.tent: 0.9799, Acc.bag: 0.3872, Acc.minibike: 0.8944, Acc.cradle: 0.9759, Acc.oven: 0.8214, Acc.ball: 0.1848, Acc.food: 0.8120, Acc.step: 0.3047, Acc.tank: 0.6641, Acc.trade name: 0.3586, Acc.microwave: 0.4641, Acc.pot: 0.6013, Acc.animal: 0.5970, Acc.bicycle: 0.8314, Acc.lake: 0.6328, Acc.dishwasher: 0.8922, Acc.screen: 0.9176, Acc.blanket: 0.5269, Acc.sculpture: 0.8923, Acc.hood: 0.7744, Acc.sconce: 0.7216, Acc.vase: 0.7616, Acc.traffic light: 0.6641, Acc.tray: 0.3664, Acc.ashcan: 0.7432, Acc.fan: 0.8516, Acc.pier: 0.1633, Acc.crt screen: 0.1269, Acc.plate: 0.8278, Acc.monitor: 0.0288, Acc.bulletin board: 0.7704, Acc.shower: 0.2420, Acc.radiator: 0.8273, Acc.glass: 0.2731, Acc.clock: 0.6850, Acc.flag: 0.5711 2023-11-22 09:59:04,108 - mmseg - INFO - Iter [78050/160000] lr: 4.879e-06, eta: 13:21:45, time: 0.959, data_time: 0.406, memory: 38143, decode.loss_cls: 0.2745, decode.loss_mask: 0.5097, decode.loss_dice: 0.7567, decode.d0.loss_cls: 1.3801, decode.d0.loss_mask: 0.5516, decode.d0.loss_dice: 0.8575, decode.d1.loss_cls: 0.3648, decode.d1.loss_mask: 0.5312, decode.d1.loss_dice: 0.8066, decode.d2.loss_cls: 0.3120, decode.d2.loss_mask: 0.5220, decode.d2.loss_dice: 0.7782, decode.d3.loss_cls: 0.2941, decode.d3.loss_mask: 0.5141, decode.d3.loss_dice: 0.7660, decode.d4.loss_cls: 0.2876, decode.d4.loss_mask: 0.5149, decode.d4.loss_dice: 0.7646, decode.d5.loss_cls: 0.2796, decode.d5.loss_mask: 0.5138, decode.d5.loss_dice: 0.7707, decode.d6.loss_cls: 0.2766, decode.d6.loss_mask: 0.5097, decode.d6.loss_dice: 0.7597, decode.d7.loss_cls: 0.2709, decode.d7.loss_mask: 0.5093, decode.d7.loss_dice: 0.7591, decode.d8.loss_cls: 0.2702, decode.d8.loss_mask: 0.5112, decode.d8.loss_dice: 0.7579, loss: 16.9750, grad_norm: 64.8634 2023-11-22 09:59:32,478 - mmseg - INFO - Iter [78100/160000] lr: 4.876e-06, eta: 13:21:15, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2864, decode.loss_mask: 0.5148, decode.loss_dice: 0.7766, decode.d0.loss_cls: 1.4017, decode.d0.loss_mask: 0.5485, decode.d0.loss_dice: 0.8740, decode.d1.loss_cls: 0.3776, decode.d1.loss_mask: 0.5327, decode.d1.loss_dice: 0.8247, decode.d2.loss_cls: 0.3223, decode.d2.loss_mask: 0.5254, decode.d2.loss_dice: 0.8021, decode.d3.loss_cls: 0.2998, decode.d3.loss_mask: 0.5163, decode.d3.loss_dice: 0.7835, decode.d4.loss_cls: 0.2963, decode.d4.loss_mask: 0.5177, decode.d4.loss_dice: 0.7843, decode.d5.loss_cls: 0.2924, decode.d5.loss_mask: 0.5170, decode.d5.loss_dice: 0.7841, decode.d6.loss_cls: 0.2904, decode.d6.loss_mask: 0.5174, decode.d6.loss_dice: 0.7783, decode.d7.loss_cls: 0.2880, decode.d7.loss_mask: 0.5151, decode.d7.loss_dice: 0.7771, decode.d8.loss_cls: 0.2854, decode.d8.loss_mask: 0.5146, decode.d8.loss_dice: 0.7769, loss: 17.3216, grad_norm: 69.3864 2023-11-22 10:00:01,206 - mmseg - INFO - Iter [78150/160000] lr: 4.873e-06, eta: 13:20:45, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2738, decode.loss_mask: 0.5103, decode.loss_dice: 0.7500, decode.d0.loss_cls: 1.4177, decode.d0.loss_mask: 0.5495, decode.d0.loss_dice: 0.8425, decode.d1.loss_cls: 0.3622, decode.d1.loss_mask: 0.5287, decode.d1.loss_dice: 0.8029, decode.d2.loss_cls: 0.3074, decode.d2.loss_mask: 0.5206, decode.d2.loss_dice: 0.7719, decode.d3.loss_cls: 0.2902, decode.d3.loss_mask: 0.5141, decode.d3.loss_dice: 0.7622, decode.d4.loss_cls: 0.2806, decode.d4.loss_mask: 0.5131, decode.d4.loss_dice: 0.7594, decode.d5.loss_cls: 0.2762, decode.d5.loss_mask: 0.5124, decode.d5.loss_dice: 0.7571, decode.d6.loss_cls: 0.2789, decode.d6.loss_mask: 0.5115, decode.d6.loss_dice: 0.7518, decode.d7.loss_cls: 0.2733, decode.d7.loss_mask: 0.5102, decode.d7.loss_dice: 0.7492, decode.d8.loss_cls: 0.2739, decode.d8.loss_mask: 0.5125, decode.d8.loss_dice: 0.7535, loss: 16.9178, grad_norm: 72.2698 2023-11-22 10:00:29,522 - mmseg - INFO - Iter [78200/160000] lr: 4.870e-06, eta: 13:20:14, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2707, decode.loss_mask: 0.5320, decode.loss_dice: 0.7787, decode.d0.loss_cls: 1.3827, decode.d0.loss_mask: 0.5650, decode.d0.loss_dice: 0.8705, decode.d1.loss_cls: 0.3559, decode.d1.loss_mask: 0.5482, decode.d1.loss_dice: 0.8244, decode.d2.loss_cls: 0.3095, decode.d2.loss_mask: 0.5411, decode.d2.loss_dice: 0.7971, decode.d3.loss_cls: 0.2931, decode.d3.loss_mask: 0.5326, decode.d3.loss_dice: 0.7818, decode.d4.loss_cls: 0.2867, decode.d4.loss_mask: 0.5311, decode.d4.loss_dice: 0.7837, decode.d5.loss_cls: 0.2817, decode.d5.loss_mask: 0.5323, decode.d5.loss_dice: 0.7802, decode.d6.loss_cls: 0.2790, decode.d6.loss_mask: 0.5302, decode.d6.loss_dice: 0.7736, decode.d7.loss_cls: 0.2758, decode.d7.loss_mask: 0.5313, decode.d7.loss_dice: 0.7730, decode.d8.loss_cls: 0.2730, decode.d8.loss_mask: 0.5324, decode.d8.loss_dice: 0.7727, loss: 17.3201, grad_norm: 73.8946 2023-11-22 10:00:57,815 - mmseg - INFO - Iter [78250/160000] lr: 4.867e-06, eta: 13:19:44, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2719, decode.loss_mask: 0.5040, decode.loss_dice: 0.7642, decode.d0.loss_cls: 1.4311, decode.d0.loss_mask: 0.5335, decode.d0.loss_dice: 0.8654, decode.d1.loss_cls: 0.3687, decode.d1.loss_mask: 0.5264, decode.d1.loss_dice: 0.8190, decode.d2.loss_cls: 0.3120, decode.d2.loss_mask: 0.5127, decode.d2.loss_dice: 0.7899, decode.d3.loss_cls: 0.3055, decode.d3.loss_mask: 0.5090, decode.d3.loss_dice: 0.7722, decode.d4.loss_cls: 0.2980, decode.d4.loss_mask: 0.5078, decode.d4.loss_dice: 0.7704, decode.d5.loss_cls: 0.2887, decode.d5.loss_mask: 0.5056, decode.d5.loss_dice: 0.7660, decode.d6.loss_cls: 0.2828, decode.d6.loss_mask: 0.5043, decode.d6.loss_dice: 0.7654, decode.d7.loss_cls: 0.2769, decode.d7.loss_mask: 0.5062, decode.d7.loss_dice: 0.7611, decode.d8.loss_cls: 0.2787, decode.d8.loss_mask: 0.5054, decode.d8.loss_dice: 0.7642, loss: 17.0672, grad_norm: 72.4495 2023-11-22 10:01:25,977 - mmseg - INFO - Iter [78300/160000] lr: 4.864e-06, eta: 13:19:13, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.3065, decode.loss_mask: 0.5061, decode.loss_dice: 0.7455, decode.d0.loss_cls: 1.4429, decode.d0.loss_mask: 0.5440, decode.d0.loss_dice: 0.8486, decode.d1.loss_cls: 0.4027, decode.d1.loss_mask: 0.5303, decode.d1.loss_dice: 0.8002, decode.d2.loss_cls: 0.3456, decode.d2.loss_mask: 0.5181, decode.d2.loss_dice: 0.7714, decode.d3.loss_cls: 0.3271, decode.d3.loss_mask: 0.5080, decode.d3.loss_dice: 0.7557, decode.d4.loss_cls: 0.3152, decode.d4.loss_mask: 0.5107, decode.d4.loss_dice: 0.7557, decode.d5.loss_cls: 0.3117, decode.d5.loss_mask: 0.5089, decode.d5.loss_dice: 0.7531, decode.d6.loss_cls: 0.3067, decode.d6.loss_mask: 0.5057, decode.d6.loss_dice: 0.7502, decode.d7.loss_cls: 0.3074, decode.d7.loss_mask: 0.5057, decode.d7.loss_dice: 0.7484, decode.d8.loss_cls: 0.3054, decode.d8.loss_mask: 0.5063, decode.d8.loss_dice: 0.7468, loss: 17.1907, grad_norm: 71.6022 2023-11-22 10:01:56,769 - mmseg - INFO - Iter [78350/160000] lr: 4.861e-06, eta: 13:18:46, time: 0.616, data_time: 0.060, memory: 38143, decode.loss_cls: 0.2813, decode.loss_mask: 0.5112, decode.loss_dice: 0.7682, decode.d0.loss_cls: 1.4179, decode.d0.loss_mask: 0.5456, decode.d0.loss_dice: 0.8735, decode.d1.loss_cls: 0.3656, decode.d1.loss_mask: 0.5332, decode.d1.loss_dice: 0.8199, decode.d2.loss_cls: 0.3214, decode.d2.loss_mask: 0.5188, decode.d2.loss_dice: 0.7943, decode.d3.loss_cls: 0.3013, decode.d3.loss_mask: 0.5150, decode.d3.loss_dice: 0.7768, decode.d4.loss_cls: 0.2969, decode.d4.loss_mask: 0.5128, decode.d4.loss_dice: 0.7766, decode.d5.loss_cls: 0.2918, decode.d5.loss_mask: 0.5086, decode.d5.loss_dice: 0.7756, decode.d6.loss_cls: 0.2886, decode.d6.loss_mask: 0.5100, decode.d6.loss_dice: 0.7700, decode.d7.loss_cls: 0.2806, decode.d7.loss_mask: 0.5109, decode.d7.loss_dice: 0.7687, decode.d8.loss_cls: 0.2828, decode.d8.loss_mask: 0.5103, decode.d8.loss_dice: 0.7718, loss: 17.1999, grad_norm: 73.2417 2023-11-22 10:02:25,014 - mmseg - INFO - Iter [78400/160000] lr: 4.858e-06, eta: 13:18:15, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2795, decode.loss_mask: 0.5231, decode.loss_dice: 0.7716, decode.d0.loss_cls: 1.4031, decode.d0.loss_mask: 0.5624, decode.d0.loss_dice: 0.8687, decode.d1.loss_cls: 0.3659, decode.d1.loss_mask: 0.5497, decode.d1.loss_dice: 0.8210, decode.d2.loss_cls: 0.3138, decode.d2.loss_mask: 0.5358, decode.d2.loss_dice: 0.7955, decode.d3.loss_cls: 0.2949, decode.d3.loss_mask: 0.5273, decode.d3.loss_dice: 0.7754, decode.d4.loss_cls: 0.2878, decode.d4.loss_mask: 0.5264, decode.d4.loss_dice: 0.7759, decode.d5.loss_cls: 0.2850, decode.d5.loss_mask: 0.5262, decode.d5.loss_dice: 0.7780, decode.d6.loss_cls: 0.2845, decode.d6.loss_mask: 0.5276, decode.d6.loss_dice: 0.7674, decode.d7.loss_cls: 0.2776, decode.d7.loss_mask: 0.5261, decode.d7.loss_dice: 0.7683, decode.d8.loss_cls: 0.2757, decode.d8.loss_mask: 0.5237, decode.d8.loss_dice: 0.7746, loss: 17.2926, grad_norm: 69.7581 2023-11-22 10:02:53,586 - mmseg - INFO - Iter [78450/160000] lr: 4.855e-06, eta: 13:17:45, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2787, decode.loss_mask: 0.5195, decode.loss_dice: 0.7804, decode.d0.loss_cls: 1.3908, decode.d0.loss_mask: 0.5551, decode.d0.loss_dice: 0.8810, decode.d1.loss_cls: 0.3721, decode.d1.loss_mask: 0.5374, decode.d1.loss_dice: 0.8193, decode.d2.loss_cls: 0.3113, decode.d2.loss_mask: 0.5235, decode.d2.loss_dice: 0.7963, decode.d3.loss_cls: 0.3007, decode.d3.loss_mask: 0.5204, decode.d3.loss_dice: 0.7876, decode.d4.loss_cls: 0.2920, decode.d4.loss_mask: 0.5211, decode.d4.loss_dice: 0.7848, decode.d5.loss_cls: 0.2832, decode.d5.loss_mask: 0.5198, decode.d5.loss_dice: 0.7816, decode.d6.loss_cls: 0.2819, decode.d6.loss_mask: 0.5165, decode.d6.loss_dice: 0.7805, decode.d7.loss_cls: 0.2793, decode.d7.loss_mask: 0.5193, decode.d7.loss_dice: 0.7812, decode.d8.loss_cls: 0.2768, decode.d8.loss_mask: 0.5194, decode.d8.loss_dice: 0.7814, loss: 17.2928, grad_norm: 70.6313 2023-11-22 10:03:21,855 - mmseg - INFO - Iter [78500/160000] lr: 4.852e-06, eta: 13:17:14, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2744, decode.loss_mask: 0.4881, decode.loss_dice: 0.7476, decode.d0.loss_cls: 1.3971, decode.d0.loss_mask: 0.5285, decode.d0.loss_dice: 0.8464, decode.d1.loss_cls: 0.3465, decode.d1.loss_mask: 0.5109, decode.d1.loss_dice: 0.7903, decode.d2.loss_cls: 0.3064, decode.d2.loss_mask: 0.5002, decode.d2.loss_dice: 0.7691, decode.d3.loss_cls: 0.2925, decode.d3.loss_mask: 0.4945, decode.d3.loss_dice: 0.7557, decode.d4.loss_cls: 0.2806, decode.d4.loss_mask: 0.4948, decode.d4.loss_dice: 0.7558, decode.d5.loss_cls: 0.2885, decode.d5.loss_mask: 0.4909, decode.d5.loss_dice: 0.7490, decode.d6.loss_cls: 0.2772, decode.d6.loss_mask: 0.4903, decode.d6.loss_dice: 0.7517, decode.d7.loss_cls: 0.2756, decode.d7.loss_mask: 0.4895, decode.d7.loss_dice: 0.7502, decode.d8.loss_cls: 0.2712, decode.d8.loss_mask: 0.4895, decode.d8.loss_dice: 0.7521, loss: 16.6549, grad_norm: 67.1811 2023-11-22 10:03:50,103 - mmseg - INFO - Iter [78550/160000] lr: 4.849e-06, eta: 13:16:44, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2680, decode.loss_mask: 0.5155, decode.loss_dice: 0.7398, decode.d0.loss_cls: 1.3582, decode.d0.loss_mask: 0.5566, decode.d0.loss_dice: 0.8350, decode.d1.loss_cls: 0.3531, decode.d1.loss_mask: 0.5437, decode.d1.loss_dice: 0.7868, decode.d2.loss_cls: 0.3022, decode.d2.loss_mask: 0.5311, decode.d2.loss_dice: 0.7688, decode.d3.loss_cls: 0.2872, decode.d3.loss_mask: 0.5219, decode.d3.loss_dice: 0.7548, decode.d4.loss_cls: 0.2815, decode.d4.loss_mask: 0.5214, decode.d4.loss_dice: 0.7503, decode.d5.loss_cls: 0.2749, decode.d5.loss_mask: 0.5194, decode.d5.loss_dice: 0.7487, decode.d6.loss_cls: 0.2736, decode.d6.loss_mask: 0.5184, decode.d6.loss_dice: 0.7426, decode.d7.loss_cls: 0.2691, decode.d7.loss_mask: 0.5180, decode.d7.loss_dice: 0.7426, decode.d8.loss_cls: 0.2694, decode.d8.loss_mask: 0.5166, decode.d8.loss_dice: 0.7423, loss: 16.8118, grad_norm: 70.0676 2023-11-22 10:04:18,474 - mmseg - INFO - Iter [78600/160000] lr: 4.846e-06, eta: 13:16:14, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2784, decode.loss_mask: 0.5244, decode.loss_dice: 0.7939, decode.d0.loss_cls: 1.4211, decode.d0.loss_mask: 0.5591, decode.d0.loss_dice: 0.8884, decode.d1.loss_cls: 0.3821, decode.d1.loss_mask: 0.5412, decode.d1.loss_dice: 0.8350, decode.d2.loss_cls: 0.3288, decode.d2.loss_mask: 0.5348, decode.d2.loss_dice: 0.8095, decode.d3.loss_cls: 0.3102, decode.d3.loss_mask: 0.5282, decode.d3.loss_dice: 0.7958, decode.d4.loss_cls: 0.2981, decode.d4.loss_mask: 0.5261, decode.d4.loss_dice: 0.7968, decode.d5.loss_cls: 0.2876, decode.d5.loss_mask: 0.5251, decode.d5.loss_dice: 0.7941, decode.d6.loss_cls: 0.2832, decode.d6.loss_mask: 0.5241, decode.d6.loss_dice: 0.7940, decode.d7.loss_cls: 0.2831, decode.d7.loss_mask: 0.5221, decode.d7.loss_dice: 0.7921, decode.d8.loss_cls: 0.2827, decode.d8.loss_mask: 0.5228, decode.d8.loss_dice: 0.7940, loss: 17.5571, grad_norm: 75.0263 2023-11-22 10:04:47,049 - mmseg - INFO - Iter [78650/160000] lr: 4.843e-06, eta: 13:15:43, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2678, decode.loss_mask: 0.5055, decode.loss_dice: 0.7664, decode.d0.loss_cls: 1.3976, decode.d0.loss_mask: 0.5393, decode.d0.loss_dice: 0.8600, decode.d1.loss_cls: 0.3625, decode.d1.loss_mask: 0.5241, decode.d1.loss_dice: 0.8045, decode.d2.loss_cls: 0.3093, decode.d2.loss_mask: 0.5102, decode.d2.loss_dice: 0.7862, decode.d3.loss_cls: 0.2878, decode.d3.loss_mask: 0.5063, decode.d3.loss_dice: 0.7737, decode.d4.loss_cls: 0.2784, decode.d4.loss_mask: 0.5065, decode.d4.loss_dice: 0.7788, decode.d5.loss_cls: 0.2753, decode.d5.loss_mask: 0.5062, decode.d5.loss_dice: 0.7755, decode.d6.loss_cls: 0.2714, decode.d6.loss_mask: 0.5025, decode.d6.loss_dice: 0.7679, decode.d7.loss_cls: 0.2723, decode.d7.loss_mask: 0.5031, decode.d7.loss_dice: 0.7705, decode.d8.loss_cls: 0.2714, decode.d8.loss_mask: 0.5023, decode.d8.loss_dice: 0.7680, loss: 16.9511, grad_norm: 69.4118 2023-11-22 10:05:15,480 - mmseg - INFO - Iter [78700/160000] lr: 4.840e-06, eta: 13:15:13, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2506, decode.loss_mask: 0.5007, decode.loss_dice: 0.7451, decode.d0.loss_cls: 1.3882, decode.d0.loss_mask: 0.5300, decode.d0.loss_dice: 0.8372, decode.d1.loss_cls: 0.3557, decode.d1.loss_mask: 0.5167, decode.d1.loss_dice: 0.7900, decode.d2.loss_cls: 0.2988, decode.d2.loss_mask: 0.5062, decode.d2.loss_dice: 0.7672, decode.d3.loss_cls: 0.2767, decode.d3.loss_mask: 0.5015, decode.d3.loss_dice: 0.7526, decode.d4.loss_cls: 0.2762, decode.d4.loss_mask: 0.5024, decode.d4.loss_dice: 0.7474, decode.d5.loss_cls: 0.2674, decode.d5.loss_mask: 0.5020, decode.d5.loss_dice: 0.7476, decode.d6.loss_cls: 0.2584, decode.d6.loss_mask: 0.5002, decode.d6.loss_dice: 0.7439, decode.d7.loss_cls: 0.2562, decode.d7.loss_mask: 0.5015, decode.d7.loss_dice: 0.7446, decode.d8.loss_cls: 0.2537, decode.d8.loss_mask: 0.5003, decode.d8.loss_dice: 0.7448, loss: 16.5639, grad_norm: 67.5693 2023-11-22 10:05:43,934 - mmseg - INFO - Iter [78750/160000] lr: 4.837e-06, eta: 13:14:43, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2990, decode.loss_mask: 0.5040, decode.loss_dice: 0.7782, decode.d0.loss_cls: 1.4417, decode.d0.loss_mask: 0.5404, decode.d0.loss_dice: 0.8783, decode.d1.loss_cls: 0.3991, decode.d1.loss_mask: 0.5251, decode.d1.loss_dice: 0.8260, decode.d2.loss_cls: 0.3396, decode.d2.loss_mask: 0.5169, decode.d2.loss_dice: 0.8029, decode.d3.loss_cls: 0.3172, decode.d3.loss_mask: 0.5098, decode.d3.loss_dice: 0.7865, decode.d4.loss_cls: 0.3043, decode.d4.loss_mask: 0.5071, decode.d4.loss_dice: 0.7843, decode.d5.loss_cls: 0.3049, decode.d5.loss_mask: 0.5048, decode.d5.loss_dice: 0.7836, decode.d6.loss_cls: 0.3037, decode.d6.loss_mask: 0.5050, decode.d6.loss_dice: 0.7781, decode.d7.loss_cls: 0.3028, decode.d7.loss_mask: 0.5025, decode.d7.loss_dice: 0.7742, decode.d8.loss_cls: 0.3008, decode.d8.loss_mask: 0.5023, decode.d8.loss_dice: 0.7768, loss: 17.3999, grad_norm: 67.5696 2023-11-22 10:06:12,166 - mmseg - INFO - Iter [78800/160000] lr: 4.834e-06, eta: 13:14:12, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2590, decode.loss_mask: 0.5102, decode.loss_dice: 0.7392, decode.d0.loss_cls: 1.3796, decode.d0.loss_mask: 0.5482, decode.d0.loss_dice: 0.8407, decode.d1.loss_cls: 0.3479, decode.d1.loss_mask: 0.5312, decode.d1.loss_dice: 0.7903, decode.d2.loss_cls: 0.2907, decode.d2.loss_mask: 0.5193, decode.d2.loss_dice: 0.7662, decode.d3.loss_cls: 0.2792, decode.d3.loss_mask: 0.5129, decode.d3.loss_dice: 0.7516, decode.d4.loss_cls: 0.2732, decode.d4.loss_mask: 0.5125, decode.d4.loss_dice: 0.7468, decode.d5.loss_cls: 0.2673, decode.d5.loss_mask: 0.5116, decode.d5.loss_dice: 0.7469, decode.d6.loss_cls: 0.2635, decode.d6.loss_mask: 0.5119, decode.d6.loss_dice: 0.7391, decode.d7.loss_cls: 0.2638, decode.d7.loss_mask: 0.5114, decode.d7.loss_dice: 0.7420, decode.d8.loss_cls: 0.2573, decode.d8.loss_mask: 0.5105, decode.d8.loss_dice: 0.7422, loss: 16.6664, grad_norm: 74.2572 2023-11-22 10:06:40,503 - mmseg - INFO - Iter [78850/160000] lr: 4.831e-06, eta: 13:13:42, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2883, decode.loss_mask: 0.5101, decode.loss_dice: 0.7769, decode.d0.loss_cls: 1.4106, decode.d0.loss_mask: 0.5402, decode.d0.loss_dice: 0.8715, decode.d1.loss_cls: 0.3741, decode.d1.loss_mask: 0.5289, decode.d1.loss_dice: 0.8200, decode.d2.loss_cls: 0.3262, decode.d2.loss_mask: 0.5197, decode.d2.loss_dice: 0.8006, decode.d3.loss_cls: 0.3052, decode.d3.loss_mask: 0.5113, decode.d3.loss_dice: 0.7791, decode.d4.loss_cls: 0.2983, decode.d4.loss_mask: 0.5123, decode.d4.loss_dice: 0.7790, decode.d5.loss_cls: 0.2961, decode.d5.loss_mask: 0.5120, decode.d5.loss_dice: 0.7740, decode.d6.loss_cls: 0.2900, decode.d6.loss_mask: 0.5112, decode.d6.loss_dice: 0.7759, decode.d7.loss_cls: 0.2929, decode.d7.loss_mask: 0.5104, decode.d7.loss_dice: 0.7772, decode.d8.loss_cls: 0.2899, decode.d8.loss_mask: 0.5104, decode.d8.loss_dice: 0.7714, loss: 17.2637, grad_norm: 67.2666 2023-11-22 10:07:08,763 - mmseg - INFO - Iter [78900/160000] lr: 4.828e-06, eta: 13:13:12, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2621, decode.loss_mask: 0.5488, decode.loss_dice: 0.7857, decode.d0.loss_cls: 1.3687, decode.d0.loss_mask: 0.5851, decode.d0.loss_dice: 0.8690, decode.d1.loss_cls: 0.3515, decode.d1.loss_mask: 0.5731, decode.d1.loss_dice: 0.8328, decode.d2.loss_cls: 0.3025, decode.d2.loss_mask: 0.5618, decode.d2.loss_dice: 0.8066, decode.d3.loss_cls: 0.2814, decode.d3.loss_mask: 0.5529, decode.d3.loss_dice: 0.7929, decode.d4.loss_cls: 0.2772, decode.d4.loss_mask: 0.5508, decode.d4.loss_dice: 0.7899, decode.d5.loss_cls: 0.2747, decode.d5.loss_mask: 0.5483, decode.d5.loss_dice: 0.7856, decode.d6.loss_cls: 0.2746, decode.d6.loss_mask: 0.5471, decode.d6.loss_dice: 0.7862, decode.d7.loss_cls: 0.2663, decode.d7.loss_mask: 0.5492, decode.d7.loss_dice: 0.7800, decode.d8.loss_cls: 0.2641, decode.d8.loss_mask: 0.5480, decode.d8.loss_dice: 0.7931, loss: 17.5100, grad_norm: 77.7795 2023-11-22 10:07:37,244 - mmseg - INFO - Iter [78950/160000] lr: 4.825e-06, eta: 13:12:41, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2816, decode.loss_mask: 0.5129, decode.loss_dice: 0.7422, decode.d0.loss_cls: 1.3828, decode.d0.loss_mask: 0.5516, decode.d0.loss_dice: 0.8400, decode.d1.loss_cls: 0.3632, decode.d1.loss_mask: 0.5328, decode.d1.loss_dice: 0.7962, decode.d2.loss_cls: 0.3114, decode.d2.loss_mask: 0.5253, decode.d2.loss_dice: 0.7653, decode.d3.loss_cls: 0.2929, decode.d3.loss_mask: 0.5147, decode.d3.loss_dice: 0.7530, decode.d4.loss_cls: 0.2870, decode.d4.loss_mask: 0.5169, decode.d4.loss_dice: 0.7510, decode.d5.loss_cls: 0.2834, decode.d5.loss_mask: 0.5147, decode.d5.loss_dice: 0.7501, decode.d6.loss_cls: 0.2767, decode.d6.loss_mask: 0.5151, decode.d6.loss_dice: 0.7440, decode.d7.loss_cls: 0.2753, decode.d7.loss_mask: 0.5157, decode.d7.loss_dice: 0.7411, decode.d8.loss_cls: 0.2767, decode.d8.loss_mask: 0.5137, decode.d8.loss_dice: 0.7471, loss: 16.8746, grad_norm: 69.5738 2023-11-22 10:08:05,839 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 10:08:05,839 - mmseg - INFO - Iter [79000/160000] lr: 4.822e-06, eta: 13:12:11, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2726, decode.loss_mask: 0.5025, decode.loss_dice: 0.7569, decode.d0.loss_cls: 1.4049, decode.d0.loss_mask: 0.5357, decode.d0.loss_dice: 0.8469, decode.d1.loss_cls: 0.3636, decode.d1.loss_mask: 0.5207, decode.d1.loss_dice: 0.7951, decode.d2.loss_cls: 0.3036, decode.d2.loss_mask: 0.5105, decode.d2.loss_dice: 0.7755, decode.d3.loss_cls: 0.2903, decode.d3.loss_mask: 0.5071, decode.d3.loss_dice: 0.7628, decode.d4.loss_cls: 0.2818, decode.d4.loss_mask: 0.5044, decode.d4.loss_dice: 0.7611, decode.d5.loss_cls: 0.2841, decode.d5.loss_mask: 0.5030, decode.d5.loss_dice: 0.7581, decode.d6.loss_cls: 0.2735, decode.d6.loss_mask: 0.5027, decode.d6.loss_dice: 0.7540, decode.d7.loss_cls: 0.2723, decode.d7.loss_mask: 0.5031, decode.d7.loss_dice: 0.7510, decode.d8.loss_cls: 0.2721, decode.d8.loss_mask: 0.5014, decode.d8.loss_dice: 0.7544, loss: 16.8256, grad_norm: 66.6997 2023-11-22 10:08:34,244 - mmseg - INFO - Iter [79050/160000] lr: 4.819e-06, eta: 13:11:41, time: 0.570, data_time: 0.016, memory: 38143, decode.loss_cls: 0.2763, decode.loss_mask: 0.5121, decode.loss_dice: 0.7608, decode.d0.loss_cls: 1.4002, decode.d0.loss_mask: 0.5449, decode.d0.loss_dice: 0.8471, decode.d1.loss_cls: 0.3593, decode.d1.loss_mask: 0.5251, decode.d1.loss_dice: 0.7999, decode.d2.loss_cls: 0.3150, decode.d2.loss_mask: 0.5173, decode.d2.loss_dice: 0.7804, decode.d3.loss_cls: 0.2958, decode.d3.loss_mask: 0.5152, decode.d3.loss_dice: 0.7647, decode.d4.loss_cls: 0.2894, decode.d4.loss_mask: 0.5143, decode.d4.loss_dice: 0.7657, decode.d5.loss_cls: 0.2843, decode.d5.loss_mask: 0.5118, decode.d5.loss_dice: 0.7654, decode.d6.loss_cls: 0.2847, decode.d6.loss_mask: 0.5101, decode.d6.loss_dice: 0.7556, decode.d7.loss_cls: 0.2871, decode.d7.loss_mask: 0.5092, decode.d7.loss_dice: 0.7581, decode.d8.loss_cls: 0.2780, decode.d8.loss_mask: 0.5123, decode.d8.loss_dice: 0.7592, loss: 16.9993, grad_norm: 68.4386 2023-11-22 10:09:02,632 - mmseg - INFO - Iter [79100/160000] lr: 4.816e-06, eta: 13:11:11, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2824, decode.loss_mask: 0.5081, decode.loss_dice: 0.7619, decode.d0.loss_cls: 1.3902, decode.d0.loss_mask: 0.5422, decode.d0.loss_dice: 0.8613, decode.d1.loss_cls: 0.3651, decode.d1.loss_mask: 0.5256, decode.d1.loss_dice: 0.8172, decode.d2.loss_cls: 0.3120, decode.d2.loss_mask: 0.5176, decode.d2.loss_dice: 0.7916, decode.d3.loss_cls: 0.2948, decode.d3.loss_mask: 0.5131, decode.d3.loss_dice: 0.7706, decode.d4.loss_cls: 0.2880, decode.d4.loss_mask: 0.5101, decode.d4.loss_dice: 0.7695, decode.d5.loss_cls: 0.2852, decode.d5.loss_mask: 0.5110, decode.d5.loss_dice: 0.7681, decode.d6.loss_cls: 0.2789, decode.d6.loss_mask: 0.5082, decode.d6.loss_dice: 0.7635, decode.d7.loss_cls: 0.2748, decode.d7.loss_mask: 0.5079, decode.d7.loss_dice: 0.7621, decode.d8.loss_cls: 0.2794, decode.d8.loss_mask: 0.5085, decode.d8.loss_dice: 0.7648, loss: 17.0338, grad_norm: 69.4865 2023-11-22 10:09:30,955 - mmseg - INFO - Iter [79150/160000] lr: 4.813e-06, eta: 13:10:40, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2813, decode.loss_mask: 0.5000, decode.loss_dice: 0.7538, decode.d0.loss_cls: 1.4208, decode.d0.loss_mask: 0.5351, decode.d0.loss_dice: 0.8635, decode.d1.loss_cls: 0.3698, decode.d1.loss_mask: 0.5198, decode.d1.loss_dice: 0.8021, decode.d2.loss_cls: 0.3250, decode.d2.loss_mask: 0.5135, decode.d2.loss_dice: 0.7808, decode.d3.loss_cls: 0.3046, decode.d3.loss_mask: 0.5051, decode.d3.loss_dice: 0.7663, decode.d4.loss_cls: 0.3003, decode.d4.loss_mask: 0.5070, decode.d4.loss_dice: 0.7661, decode.d5.loss_cls: 0.2904, decode.d5.loss_mask: 0.5060, decode.d5.loss_dice: 0.7670, decode.d6.loss_cls: 0.2922, decode.d6.loss_mask: 0.5029, decode.d6.loss_dice: 0.7561, decode.d7.loss_cls: 0.2834, decode.d7.loss_mask: 0.5044, decode.d7.loss_dice: 0.7589, decode.d8.loss_cls: 0.2802, decode.d8.loss_mask: 0.5035, decode.d8.loss_dice: 0.7632, loss: 17.0232, grad_norm: 72.7247 2023-11-22 10:09:59,117 - mmseg - INFO - Iter [79200/160000] lr: 4.810e-06, eta: 13:10:10, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2831, decode.loss_mask: 0.5250, decode.loss_dice: 0.7654, decode.d0.loss_cls: 1.3901, decode.d0.loss_mask: 0.5582, decode.d0.loss_dice: 0.8680, decode.d1.loss_cls: 0.3713, decode.d1.loss_mask: 0.5453, decode.d1.loss_dice: 0.8111, decode.d2.loss_cls: 0.3198, decode.d2.loss_mask: 0.5341, decode.d2.loss_dice: 0.7907, decode.d3.loss_cls: 0.3021, decode.d3.loss_mask: 0.5292, decode.d3.loss_dice: 0.7706, decode.d4.loss_cls: 0.2867, decode.d4.loss_mask: 0.5315, decode.d4.loss_dice: 0.7720, decode.d5.loss_cls: 0.2954, decode.d5.loss_mask: 0.5312, decode.d5.loss_dice: 0.7712, decode.d6.loss_cls: 0.2892, decode.d6.loss_mask: 0.5283, decode.d6.loss_dice: 0.7635, decode.d7.loss_cls: 0.2847, decode.d7.loss_mask: 0.5290, decode.d7.loss_dice: 0.7661, decode.d8.loss_cls: 0.2842, decode.d8.loss_mask: 0.5260, decode.d8.loss_dice: 0.7680, loss: 17.2910, grad_norm: 79.4821 2023-11-22 10:10:27,603 - mmseg - INFO - Iter [79250/160000] lr: 4.807e-06, eta: 13:09:40, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2797, decode.loss_mask: 0.5083, decode.loss_dice: 0.7529, decode.d0.loss_cls: 1.4160, decode.d0.loss_mask: 0.5434, decode.d0.loss_dice: 0.8523, decode.d1.loss_cls: 0.3748, decode.d1.loss_mask: 0.5262, decode.d1.loss_dice: 0.8036, decode.d2.loss_cls: 0.3215, decode.d2.loss_mask: 0.5159, decode.d2.loss_dice: 0.7842, decode.d3.loss_cls: 0.3043, decode.d3.loss_mask: 0.5109, decode.d3.loss_dice: 0.7635, decode.d4.loss_cls: 0.2922, decode.d4.loss_mask: 0.5103, decode.d4.loss_dice: 0.7633, decode.d5.loss_cls: 0.2855, decode.d5.loss_mask: 0.5091, decode.d5.loss_dice: 0.7626, decode.d6.loss_cls: 0.2822, decode.d6.loss_mask: 0.5058, decode.d6.loss_dice: 0.7583, decode.d7.loss_cls: 0.2806, decode.d7.loss_mask: 0.5082, decode.d7.loss_dice: 0.7557, decode.d8.loss_cls: 0.2786, decode.d8.loss_mask: 0.5081, decode.d8.loss_dice: 0.7614, loss: 17.0193, grad_norm: 75.8665 2023-11-22 10:10:56,246 - mmseg - INFO - Iter [79300/160000] lr: 4.804e-06, eta: 13:09:09, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2829, decode.loss_mask: 0.5097, decode.loss_dice: 0.7703, decode.d0.loss_cls: 1.3997, decode.d0.loss_mask: 0.5458, decode.d0.loss_dice: 0.8626, decode.d1.loss_cls: 0.3710, decode.d1.loss_mask: 0.5297, decode.d1.loss_dice: 0.8267, decode.d2.loss_cls: 0.3263, decode.d2.loss_mask: 0.5211, decode.d2.loss_dice: 0.7967, decode.d3.loss_cls: 0.3116, decode.d3.loss_mask: 0.5110, decode.d3.loss_dice: 0.7779, decode.d4.loss_cls: 0.3003, decode.d4.loss_mask: 0.5103, decode.d4.loss_dice: 0.7790, decode.d5.loss_cls: 0.2944, decode.d5.loss_mask: 0.5098, decode.d5.loss_dice: 0.7767, decode.d6.loss_cls: 0.2905, decode.d6.loss_mask: 0.5089, decode.d6.loss_dice: 0.7711, decode.d7.loss_cls: 0.2859, decode.d7.loss_mask: 0.5091, decode.d7.loss_dice: 0.7708, decode.d8.loss_cls: 0.2908, decode.d8.loss_mask: 0.5081, decode.d8.loss_dice: 0.7723, loss: 17.2209, grad_norm: 70.7571 2023-11-22 10:11:24,595 - mmseg - INFO - Iter [79350/160000] lr: 4.801e-06, eta: 13:08:39, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2868, decode.loss_mask: 0.5096, decode.loss_dice: 0.7785, decode.d0.loss_cls: 1.3996, decode.d0.loss_mask: 0.5505, decode.d0.loss_dice: 0.8795, decode.d1.loss_cls: 0.3743, decode.d1.loss_mask: 0.5352, decode.d1.loss_dice: 0.8277, decode.d2.loss_cls: 0.3261, decode.d2.loss_mask: 0.5235, decode.d2.loss_dice: 0.8054, decode.d3.loss_cls: 0.3101, decode.d3.loss_mask: 0.5165, decode.d3.loss_dice: 0.7891, decode.d4.loss_cls: 0.3001, decode.d4.loss_mask: 0.5146, decode.d4.loss_dice: 0.7834, decode.d5.loss_cls: 0.2998, decode.d5.loss_mask: 0.5121, decode.d5.loss_dice: 0.7887, decode.d6.loss_cls: 0.2921, decode.d6.loss_mask: 0.5106, decode.d6.loss_dice: 0.7806, decode.d7.loss_cls: 0.2915, decode.d7.loss_mask: 0.5095, decode.d7.loss_dice: 0.7774, decode.d8.loss_cls: 0.2897, decode.d8.loss_mask: 0.5115, decode.d8.loss_dice: 0.7808, loss: 17.3548, grad_norm: 71.4307 2023-11-22 10:11:53,021 - mmseg - INFO - Iter [79400/160000] lr: 4.798e-06, eta: 13:08:09, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2755, decode.loss_mask: 0.5032, decode.loss_dice: 0.7550, decode.d0.loss_cls: 1.3849, decode.d0.loss_mask: 0.5417, decode.d0.loss_dice: 0.8483, decode.d1.loss_cls: 0.3609, decode.d1.loss_mask: 0.5215, decode.d1.loss_dice: 0.8034, decode.d2.loss_cls: 0.3120, decode.d2.loss_mask: 0.5126, decode.d2.loss_dice: 0.7828, decode.d3.loss_cls: 0.2955, decode.d3.loss_mask: 0.5063, decode.d3.loss_dice: 0.7607, decode.d4.loss_cls: 0.2856, decode.d4.loss_mask: 0.5057, decode.d4.loss_dice: 0.7661, decode.d5.loss_cls: 0.2796, decode.d5.loss_mask: 0.5049, decode.d5.loss_dice: 0.7597, decode.d6.loss_cls: 0.2779, decode.d6.loss_mask: 0.5061, decode.d6.loss_dice: 0.7554, decode.d7.loss_cls: 0.2705, decode.d7.loss_mask: 0.5049, decode.d7.loss_dice: 0.7625, decode.d8.loss_cls: 0.2742, decode.d8.loss_mask: 0.5037, decode.d8.loss_dice: 0.7555, loss: 16.8768, grad_norm: 68.2420 2023-11-22 10:12:21,355 - mmseg - INFO - Iter [79450/160000] lr: 4.795e-06, eta: 13:07:39, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2637, decode.loss_mask: 0.5137, decode.loss_dice: 0.7455, decode.d0.loss_cls: 1.3740, decode.d0.loss_mask: 0.5575, decode.d0.loss_dice: 0.8476, decode.d1.loss_cls: 0.3540, decode.d1.loss_mask: 0.5329, decode.d1.loss_dice: 0.7841, decode.d2.loss_cls: 0.2984, decode.d2.loss_mask: 0.5254, decode.d2.loss_dice: 0.7669, decode.d3.loss_cls: 0.2852, decode.d3.loss_mask: 0.5168, decode.d3.loss_dice: 0.7525, decode.d4.loss_cls: 0.2737, decode.d4.loss_mask: 0.5164, decode.d4.loss_dice: 0.7518, decode.d5.loss_cls: 0.2743, decode.d5.loss_mask: 0.5137, decode.d5.loss_dice: 0.7485, decode.d6.loss_cls: 0.2657, decode.d6.loss_mask: 0.5141, decode.d6.loss_dice: 0.7466, decode.d7.loss_cls: 0.2621, decode.d7.loss_mask: 0.5131, decode.d7.loss_dice: 0.7443, decode.d8.loss_cls: 0.2636, decode.d8.loss_mask: 0.5145, decode.d8.loss_dice: 0.7472, loss: 16.7679, grad_norm: 75.5012 2023-11-22 10:12:49,618 - mmseg - INFO - Iter [79500/160000] lr: 4.792e-06, eta: 13:07:08, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2911, decode.loss_mask: 0.5309, decode.loss_dice: 0.7849, decode.d0.loss_cls: 1.3963, decode.d0.loss_mask: 0.5674, decode.d0.loss_dice: 0.8814, decode.d1.loss_cls: 0.3854, decode.d1.loss_mask: 0.5505, decode.d1.loss_dice: 0.8298, decode.d2.loss_cls: 0.3322, decode.d2.loss_mask: 0.5408, decode.d2.loss_dice: 0.8032, decode.d3.loss_cls: 0.3109, decode.d3.loss_mask: 0.5325, decode.d3.loss_dice: 0.7843, decode.d4.loss_cls: 0.3029, decode.d4.loss_mask: 0.5306, decode.d4.loss_dice: 0.7869, decode.d5.loss_cls: 0.3002, decode.d5.loss_mask: 0.5323, decode.d5.loss_dice: 0.7881, decode.d6.loss_cls: 0.3010, decode.d6.loss_mask: 0.5308, decode.d6.loss_dice: 0.7820, decode.d7.loss_cls: 0.2952, decode.d7.loss_mask: 0.5308, decode.d7.loss_dice: 0.7840, decode.d8.loss_cls: 0.2977, decode.d8.loss_mask: 0.5290, decode.d8.loss_dice: 0.7825, loss: 17.5956, grad_norm: 69.8870 2023-11-22 10:13:17,840 - mmseg - INFO - Iter [79550/160000] lr: 4.789e-06, eta: 13:06:38, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2771, decode.loss_mask: 0.5357, decode.loss_dice: 0.7746, decode.d0.loss_cls: 1.3735, decode.d0.loss_mask: 0.5716, decode.d0.loss_dice: 0.8820, decode.d1.loss_cls: 0.3630, decode.d1.loss_mask: 0.5544, decode.d1.loss_dice: 0.8251, decode.d2.loss_cls: 0.3133, decode.d2.loss_mask: 0.5454, decode.d2.loss_dice: 0.7961, decode.d3.loss_cls: 0.2961, decode.d3.loss_mask: 0.5404, decode.d3.loss_dice: 0.7802, decode.d4.loss_cls: 0.2867, decode.d4.loss_mask: 0.5404, decode.d4.loss_dice: 0.7806, decode.d5.loss_cls: 0.2817, decode.d5.loss_mask: 0.5365, decode.d5.loss_dice: 0.7829, decode.d6.loss_cls: 0.2788, decode.d6.loss_mask: 0.5365, decode.d6.loss_dice: 0.7744, decode.d7.loss_cls: 0.2821, decode.d7.loss_mask: 0.5348, decode.d7.loss_dice: 0.7724, decode.d8.loss_cls: 0.2751, decode.d8.loss_mask: 0.5362, decode.d8.loss_dice: 0.7779, loss: 17.4054, grad_norm: 75.8089 2023-11-22 10:13:48,987 - mmseg - INFO - Iter [79600/160000] lr: 4.786e-06, eta: 13:06:10, time: 0.623, data_time: 0.059, memory: 38143, decode.loss_cls: 0.2676, decode.loss_mask: 0.4960, decode.loss_dice: 0.7697, decode.d0.loss_cls: 1.4195, decode.d0.loss_mask: 0.5308, decode.d0.loss_dice: 0.8700, decode.d1.loss_cls: 0.3589, decode.d1.loss_mask: 0.5184, decode.d1.loss_dice: 0.8220, decode.d2.loss_cls: 0.2960, decode.d2.loss_mask: 0.5088, decode.d2.loss_dice: 0.8034, decode.d3.loss_cls: 0.2833, decode.d3.loss_mask: 0.5019, decode.d3.loss_dice: 0.7795, decode.d4.loss_cls: 0.2710, decode.d4.loss_mask: 0.5013, decode.d4.loss_dice: 0.7850, decode.d5.loss_cls: 0.2680, decode.d5.loss_mask: 0.5003, decode.d5.loss_dice: 0.7794, decode.d6.loss_cls: 0.2681, decode.d6.loss_mask: 0.4995, decode.d6.loss_dice: 0.7752, decode.d7.loss_cls: 0.2649, decode.d7.loss_mask: 0.4977, decode.d7.loss_dice: 0.7796, decode.d8.loss_cls: 0.2664, decode.d8.loss_mask: 0.4964, decode.d8.loss_dice: 0.7727, loss: 16.9513, grad_norm: 67.1719 2023-11-22 10:14:17,247 - mmseg - INFO - Iter [79650/160000] lr: 4.783e-06, eta: 13:05:40, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2671, decode.loss_mask: 0.5216, decode.loss_dice: 0.7570, decode.d0.loss_cls: 1.3420, decode.d0.loss_mask: 0.5556, decode.d0.loss_dice: 0.8451, decode.d1.loss_cls: 0.3505, decode.d1.loss_mask: 0.5421, decode.d1.loss_dice: 0.8005, decode.d2.loss_cls: 0.3013, decode.d2.loss_mask: 0.5320, decode.d2.loss_dice: 0.7766, decode.d3.loss_cls: 0.2887, decode.d3.loss_mask: 0.5244, decode.d3.loss_dice: 0.7635, decode.d4.loss_cls: 0.2800, decode.d4.loss_mask: 0.5208, decode.d4.loss_dice: 0.7586, decode.d5.loss_cls: 0.2721, decode.d5.loss_mask: 0.5228, decode.d5.loss_dice: 0.7615, decode.d6.loss_cls: 0.2701, decode.d6.loss_mask: 0.5217, decode.d6.loss_dice: 0.7610, decode.d7.loss_cls: 0.2687, decode.d7.loss_mask: 0.5216, decode.d7.loss_dice: 0.7610, decode.d8.loss_cls: 0.2721, decode.d8.loss_mask: 0.5204, decode.d8.loss_dice: 0.7580, loss: 16.9386, grad_norm: 73.5353 2023-11-22 10:14:45,605 - mmseg - INFO - Iter [79700/160000] lr: 4.780e-06, eta: 13:05:09, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2718, decode.loss_mask: 0.5201, decode.loss_dice: 0.7684, decode.d0.loss_cls: 1.3814, decode.d0.loss_mask: 0.5570, decode.d0.loss_dice: 0.8637, decode.d1.loss_cls: 0.3588, decode.d1.loss_mask: 0.5375, decode.d1.loss_dice: 0.8110, decode.d2.loss_cls: 0.3092, decode.d2.loss_mask: 0.5251, decode.d2.loss_dice: 0.7950, decode.d3.loss_cls: 0.2864, decode.d3.loss_mask: 0.5228, decode.d3.loss_dice: 0.7770, decode.d4.loss_cls: 0.2830, decode.d4.loss_mask: 0.5209, decode.d4.loss_dice: 0.7775, decode.d5.loss_cls: 0.2754, decode.d5.loss_mask: 0.5203, decode.d5.loss_dice: 0.7750, decode.d6.loss_cls: 0.2721, decode.d6.loss_mask: 0.5163, decode.d6.loss_dice: 0.7695, decode.d7.loss_cls: 0.2698, decode.d7.loss_mask: 0.5180, decode.d7.loss_dice: 0.7697, decode.d8.loss_cls: 0.2720, decode.d8.loss_mask: 0.5168, decode.d8.loss_dice: 0.7707, loss: 17.1122, grad_norm: 72.6911 2023-11-22 10:15:14,000 - mmseg - INFO - Iter [79750/160000] lr: 4.777e-06, eta: 13:04:39, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2834, decode.loss_mask: 0.5246, decode.loss_dice: 0.7829, decode.d0.loss_cls: 1.4023, decode.d0.loss_mask: 0.5654, decode.d0.loss_dice: 0.8828, decode.d1.loss_cls: 0.3691, decode.d1.loss_mask: 0.5493, decode.d1.loss_dice: 0.8247, decode.d2.loss_cls: 0.3179, decode.d2.loss_mask: 0.5340, decode.d2.loss_dice: 0.8146, decode.d3.loss_cls: 0.2994, decode.d3.loss_mask: 0.5286, decode.d3.loss_dice: 0.7915, decode.d4.loss_cls: 0.2859, decode.d4.loss_mask: 0.5293, decode.d4.loss_dice: 0.7941, decode.d5.loss_cls: 0.2876, decode.d5.loss_mask: 0.5254, decode.d5.loss_dice: 0.7890, decode.d6.loss_cls: 0.2890, decode.d6.loss_mask: 0.5253, decode.d6.loss_dice: 0.7832, decode.d7.loss_cls: 0.2815, decode.d7.loss_mask: 0.5266, decode.d7.loss_dice: 0.7872, decode.d8.loss_cls: 0.2813, decode.d8.loss_mask: 0.5254, decode.d8.loss_dice: 0.7841, loss: 17.4654, grad_norm: 75.6971 2023-11-22 10:15:42,296 - mmseg - INFO - Iter [79800/160000] lr: 4.774e-06, eta: 13:04:09, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2671, decode.loss_mask: 0.5014, decode.loss_dice: 0.7410, decode.d0.loss_cls: 1.3442, decode.d0.loss_mask: 0.5425, decode.d0.loss_dice: 0.8366, decode.d1.loss_cls: 0.3460, decode.d1.loss_mask: 0.5227, decode.d1.loss_dice: 0.7935, decode.d2.loss_cls: 0.2957, decode.d2.loss_mask: 0.5148, decode.d2.loss_dice: 0.7669, decode.d3.loss_cls: 0.2800, decode.d3.loss_mask: 0.5074, decode.d3.loss_dice: 0.7518, decode.d4.loss_cls: 0.2787, decode.d4.loss_mask: 0.5070, decode.d4.loss_dice: 0.7505, decode.d5.loss_cls: 0.2751, decode.d5.loss_mask: 0.5044, decode.d5.loss_dice: 0.7525, decode.d6.loss_cls: 0.2684, decode.d6.loss_mask: 0.5068, decode.d6.loss_dice: 0.7478, decode.d7.loss_cls: 0.2673, decode.d7.loss_mask: 0.5038, decode.d7.loss_dice: 0.7432, decode.d8.loss_cls: 0.2628, decode.d8.loss_mask: 0.5047, decode.d8.loss_dice: 0.7430, loss: 16.6275, grad_norm: 73.8433 2023-11-22 10:16:10,830 - mmseg - INFO - Iter [79850/160000] lr: 4.771e-06, eta: 13:03:39, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2607, decode.loss_mask: 0.5066, decode.loss_dice: 0.7588, decode.d0.loss_cls: 1.3452, decode.d0.loss_mask: 0.5412, decode.d0.loss_dice: 0.8470, decode.d1.loss_cls: 0.3418, decode.d1.loss_mask: 0.5212, decode.d1.loss_dice: 0.8036, decode.d2.loss_cls: 0.2959, decode.d2.loss_mask: 0.5142, decode.d2.loss_dice: 0.7738, decode.d3.loss_cls: 0.2802, decode.d3.loss_mask: 0.5115, decode.d3.loss_dice: 0.7607, decode.d4.loss_cls: 0.2742, decode.d4.loss_mask: 0.5094, decode.d4.loss_dice: 0.7637, decode.d5.loss_cls: 0.2760, decode.d5.loss_mask: 0.5101, decode.d5.loss_dice: 0.7650, decode.d6.loss_cls: 0.2692, decode.d6.loss_mask: 0.5075, decode.d6.loss_dice: 0.7547, decode.d7.loss_cls: 0.2684, decode.d7.loss_mask: 0.5058, decode.d7.loss_dice: 0.7537, decode.d8.loss_cls: 0.2659, decode.d8.loss_mask: 0.5052, decode.d8.loss_dice: 0.7599, loss: 16.7514, grad_norm: 72.1389 2023-11-22 10:16:39,786 - mmseg - INFO - Iter [79900/160000] lr: 4.768e-06, eta: 13:03:09, time: 0.579, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2659, decode.loss_mask: 0.4980, decode.loss_dice: 0.7549, decode.d0.loss_cls: 1.3832, decode.d0.loss_mask: 0.5315, decode.d0.loss_dice: 0.8537, decode.d1.loss_cls: 0.3571, decode.d1.loss_mask: 0.5145, decode.d1.loss_dice: 0.7945, decode.d2.loss_cls: 0.3026, decode.d2.loss_mask: 0.5058, decode.d2.loss_dice: 0.7752, decode.d3.loss_cls: 0.2872, decode.d3.loss_mask: 0.4997, decode.d3.loss_dice: 0.7594, decode.d4.loss_cls: 0.2764, decode.d4.loss_mask: 0.4999, decode.d4.loss_dice: 0.7598, decode.d5.loss_cls: 0.2791, decode.d5.loss_mask: 0.4993, decode.d5.loss_dice: 0.7616, decode.d6.loss_cls: 0.2688, decode.d6.loss_mask: 0.4992, decode.d6.loss_dice: 0.7578, decode.d7.loss_cls: 0.2700, decode.d7.loss_mask: 0.4992, decode.d7.loss_dice: 0.7569, decode.d8.loss_cls: 0.2666, decode.d8.loss_mask: 0.4980, decode.d8.loss_dice: 0.7550, loss: 16.7311, grad_norm: 67.1836 2023-11-22 10:17:08,183 - mmseg - INFO - Iter [79950/160000] lr: 4.765e-06, eta: 13:02:39, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2615, decode.loss_mask: 0.5139, decode.loss_dice: 0.7654, decode.d0.loss_cls: 1.3704, decode.d0.loss_mask: 0.5449, decode.d0.loss_dice: 0.8474, decode.d1.loss_cls: 0.3566, decode.d1.loss_mask: 0.5388, decode.d1.loss_dice: 0.8083, decode.d2.loss_cls: 0.2924, decode.d2.loss_mask: 0.5253, decode.d2.loss_dice: 0.7913, decode.d3.loss_cls: 0.2758, decode.d3.loss_mask: 0.5169, decode.d3.loss_dice: 0.7748, decode.d4.loss_cls: 0.2735, decode.d4.loss_mask: 0.5155, decode.d4.loss_dice: 0.7710, decode.d5.loss_cls: 0.2672, decode.d5.loss_mask: 0.5162, decode.d5.loss_dice: 0.7715, decode.d6.loss_cls: 0.2617, decode.d6.loss_mask: 0.5142, decode.d6.loss_dice: 0.7621, decode.d7.loss_cls: 0.2644, decode.d7.loss_mask: 0.5141, decode.d7.loss_dice: 0.7636, decode.d8.loss_cls: 0.2599, decode.d8.loss_mask: 0.5120, decode.d8.loss_dice: 0.7643, loss: 16.9150, grad_norm: 66.0899 2023-11-22 10:17:36,614 - mmseg - INFO - Saving checkpoint at 80000 iterations 2023-11-22 10:17:45,281 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 10:17:45,281 - mmseg - INFO - Iter [80000/160000] lr: 4.762e-06, eta: 13:02:17, time: 0.742, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2835, decode.loss_mask: 0.5134, decode.loss_dice: 0.7441, decode.d0.loss_cls: 1.3992, decode.d0.loss_mask: 0.5520, decode.d0.loss_dice: 0.8495, decode.d1.loss_cls: 0.3641, decode.d1.loss_mask: 0.5394, decode.d1.loss_dice: 0.7976, decode.d2.loss_cls: 0.3218, decode.d2.loss_mask: 0.5247, decode.d2.loss_dice: 0.7715, decode.d3.loss_cls: 0.2984, decode.d3.loss_mask: 0.5178, decode.d3.loss_dice: 0.7552, decode.d4.loss_cls: 0.2947, decode.d4.loss_mask: 0.5169, decode.d4.loss_dice: 0.7517, decode.d5.loss_cls: 0.2869, decode.d5.loss_mask: 0.5171, decode.d5.loss_dice: 0.7530, decode.d6.loss_cls: 0.2892, decode.d6.loss_mask: 0.5144, decode.d6.loss_dice: 0.7423, decode.d7.loss_cls: 0.2842, decode.d7.loss_mask: 0.5142, decode.d7.loss_dice: 0.7474, decode.d8.loss_cls: 0.2842, decode.d8.loss_mask: 0.5142, decode.d8.loss_dice: 0.7483, loss: 16.9909, grad_norm: 70.5890 2023-11-22 10:18:04,771 - mmseg - INFO - per class results: 2023-11-22 10:18:04,780 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.49 | 87.36 | | building | 82.55 | 88.86 | | sky | 95.13 | 97.63 | | floor | 84.58 | 91.07 | | tree | 75.98 | 87.83 | | ceiling | 85.85 | 93.5 | | road | 86.46 | 91.15 | | bed | 91.84 | 96.03 | | windowpane | 63.14 | 83.1 | | grass | 72.59 | 87.19 | | cabinet | 64.48 | 76.65 | | sidewalk | 68.81 | 82.47 | | person | 86.34 | 93.56 | | earth | 40.31 | 58.2 | | door | 54.26 | 71.27 | | table | 69.74 | 83.04 | | mountain | 58.17 | 75.24 | | plant | 54.54 | 66.73 | | curtain | 76.01 | 87.82 | | chair | 67.85 | 81.83 | | car | 88.1 | 95.04 | | water | 53.84 | 63.29 | | painting | 71.68 | 91.93 | | sofa | 77.68 | 90.37 | | shelf | 45.99 | 58.87 | | house | 41.77 | 87.52 | | sea | 57.6 | 90.9 | | mirror | 74.09 | 83.14 | | rug | 69.95 | 80.29 | | field | 40.8 | 56.74 | | armchair | 55.75 | 67.94 | | seat | 65.78 | 86.96 | | fence | 48.48 | 68.59 | | desk | 63.08 | 79.37 | | rock | 47.58 | 64.64 | | wardrobe | 53.72 | 76.23 | | lamp | 72.69 | 84.71 | | bathtub | 80.02 | 85.81 | | railing | 39.8 | 61.25 | | cushion | 70.34 | 80.49 | | base | 38.64 | 61.28 | | box | 35.99 | 48.81 | | column | 52.41 | 70.11 | | signboard | 42.37 | 60.04 | | chest of drawers | 45.9 | 71.83 | | counter | 41.75 | 46.72 | | sand | 40.42 | 51.11 | | sink | 77.81 | 86.51 | | skyscraper | 24.55 | 30.83 | | fireplace | 72.43 | 95.9 | | refrigerator | 83.09 | 91.88 | | grandstand | 51.54 | 70.88 | | path | 27.46 | 39.86 | | stairs | 47.46 | 58.6 | | runway | 75.6 | 95.72 | | case | 61.97 | 84.2 | | pool table | 93.83 | 97.46 | | pillow | 65.26 | 78.32 | | screen door | 70.54 | 83.16 | | stairway | 31.27 | 47.93 | | river | 17.77 | 27.23 | | bridge | 77.05 | 92.19 | | bookcase | 36.56 | 60.09 | | blind | 39.37 | 42.62 | | coffee table | 74.11 | 87.57 | | toilet | 91.09 | 93.74 | | flower | 42.27 | 66.92 | | book | 53.11 | 76.9 | | hill | 9.81 | 13.34 | | bench | 65.38 | 78.98 | | countertop | 61.17 | 75.87 | | stove | 83.47 | 87.54 | | palm | 56.3 | 82.98 | | kitchen island | 44.22 | 75.82 | | computer | 70.97 | 77.29 | | swivel chair | 47.49 | 60.93 | | boat | 52.79 | 91.11 | | bar | 57.58 | 63.77 | | arcade machine | 41.93 | 44.31 | | hovel | 43.53 | 48.44 | | bus | 93.53 | 95.87 | | towel | 77.03 | 90.83 | | light | 64.33 | 78.19 | | truck | 43.94 | 49.93 | | tower | 36.59 | 80.12 | | chandelier | 69.28 | 83.11 | | awning | 39.22 | 57.29 | | streetlight | 45.88 | 66.75 | | booth | 54.75 | 67.32 | | television receiver | 74.95 | 88.31 | | airplane | 67.3 | 72.61 | | dirt track | 14.99 | 16.51 | | apparel | 45.47 | 74.04 | | pole | 35.54 | 57.82 | | land | 4.88 | 5.04 | | bannister | 16.44 | 25.92 | | escalator | 23.15 | 25.1 | | ottoman | 49.15 | 78.32 | | bottle | 45.01 | 81.98 | | buffet | 37.82 | 46.93 | | poster | 34.13 | 45.1 | | stage | 21.87 | 45.71 | | van | 41.51 | 56.82 | | ship | 8.41 | 14.53 | | fountain | 21.38 | 21.91 | | conveyer belt | 71.73 | 92.48 | | canopy | 32.23 | 50.48 | | washer | 74.09 | 78.69 | | plaything | 32.6 | 61.64 | | swimming pool | 67.4 | 71.94 | | stool | 61.99 | 77.77 | | barrel | 26.24 | 98.44 | | basket | 42.64 | 58.96 | | waterfall | 67.58 | 95.06 | | tent | 88.45 | 98.13 | | bag | 28.65 | 40.22 | | minibike | 73.28 | 91.41 | | cradle | 87.46 | 97.25 | | oven | 28.9 | 82.65 | | ball | 46.92 | 53.22 | | food | 66.58 | 77.07 | | step | 22.3 | 32.82 | | tank | 60.58 | 66.32 | | trade name | 34.33 | 40.62 | | microwave | 43.75 | 46.28 | | pot | 50.26 | 63.86 | | animal | 58.77 | 60.1 | | bicycle | 58.85 | 83.19 | | lake | 44.3 | 63.62 | | dishwasher | 82.53 | 88.88 | | screen | 62.15 | 90.03 | | blanket | 41.93 | 56.3 | | sculpture | 67.46 | 90.62 | | hood | 74.16 | 78.43 | | sconce | 59.98 | 77.38 | | vase | 55.14 | 76.89 | | traffic light | 44.47 | 73.93 | | tray | 23.41 | 37.94 | | ashcan | 48.22 | 74.18 | | fan | 71.77 | 85.34 | | pier | 16.0 | 17.42 | | crt screen | 1.27 | 4.15 | | plate | 63.83 | 84.48 | | monitor | 5.96 | 7.81 | | bulletin board | 62.95 | 77.25 | | shower | 6.07 | 26.64 | | radiator | 67.45 | 87.89 | | glass | 24.62 | 27.28 | | clock | 54.43 | 72.59 | | flag | 49.15 | 58.69 | +---------------------+-------+-------+ 2023-11-22 10:18:04,780 - mmseg - INFO - Summary: 2023-11-22 10:18:04,780 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.89 | 54.29 | 69.04 | +-------+-------+-------+ 2023-11-22 10:18:04,782 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 10:18:04,782 - mmseg - INFO - Iter(val) [250] aAcc: 0.8489, mIoU: 0.5429, mAcc: 0.6904, IoU.wall: 0.8049, IoU.building: 0.8255, IoU.sky: 0.9513, IoU.floor: 0.8458, IoU.tree: 0.7598, IoU.ceiling: 0.8585, IoU.road: 0.8646, IoU.bed : 0.9184, IoU.windowpane: 0.6314, IoU.grass: 0.7259, IoU.cabinet: 0.6448, IoU.sidewalk: 0.6881, IoU.person: 0.8634, IoU.earth: 0.4031, IoU.door: 0.5426, IoU.table: 0.6974, IoU.mountain: 0.5817, IoU.plant: 0.5454, IoU.curtain: 0.7601, IoU.chair: 0.6785, IoU.car: 0.8810, IoU.water: 0.5384, IoU.painting: 0.7168, IoU.sofa: 0.7768, IoU.shelf: 0.4599, IoU.house: 0.4177, IoU.sea: 0.5760, IoU.mirror: 0.7409, IoU.rug: 0.6995, IoU.field: 0.4080, IoU.armchair: 0.5575, IoU.seat: 0.6578, IoU.fence: 0.4848, IoU.desk: 0.6308, IoU.rock: 0.4758, IoU.wardrobe: 0.5372, IoU.lamp: 0.7269, IoU.bathtub: 0.8002, IoU.railing: 0.3980, IoU.cushion: 0.7034, IoU.base: 0.3864, IoU.box: 0.3599, IoU.column: 0.5241, IoU.signboard: 0.4237, IoU.chest of drawers: 0.4590, IoU.counter: 0.4175, IoU.sand: 0.4042, IoU.sink: 0.7781, IoU.skyscraper: 0.2455, IoU.fireplace: 0.7243, IoU.refrigerator: 0.8309, IoU.grandstand: 0.5154, IoU.path: 0.2746, IoU.stairs: 0.4746, IoU.runway: 0.7560, IoU.case: 0.6197, IoU.pool table: 0.9383, IoU.pillow: 0.6526, IoU.screen door: 0.7054, IoU.stairway: 0.3127, IoU.river: 0.1777, IoU.bridge: 0.7705, IoU.bookcase: 0.3656, IoU.blind: 0.3937, IoU.coffee table: 0.7411, IoU.toilet: 0.9109, IoU.flower: 0.4227, IoU.book: 0.5311, IoU.hill: 0.0981, IoU.bench: 0.6538, IoU.countertop: 0.6117, IoU.stove: 0.8347, IoU.palm: 0.5630, IoU.kitchen island: 0.4422, IoU.computer: 0.7097, IoU.swivel chair: 0.4749, IoU.boat: 0.5279, IoU.bar: 0.5758, IoU.arcade machine: 0.4193, IoU.hovel: 0.4353, IoU.bus: 0.9353, IoU.towel: 0.7703, IoU.light: 0.6433, IoU.truck: 0.4394, IoU.tower: 0.3659, IoU.chandelier: 0.6928, IoU.awning: 0.3922, IoU.streetlight: 0.4588, IoU.booth: 0.5475, IoU.television receiver: 0.7495, IoU.airplane: 0.6730, IoU.dirt track: 0.1499, IoU.apparel: 0.4547, IoU.pole: 0.3554, IoU.land: 0.0488, IoU.bannister: 0.1644, IoU.escalator: 0.2315, IoU.ottoman: 0.4915, IoU.bottle: 0.4501, IoU.buffet: 0.3782, IoU.poster: 0.3413, IoU.stage: 0.2187, IoU.van: 0.4151, IoU.ship: 0.0841, IoU.fountain: 0.2138, IoU.conveyer belt: 0.7173, IoU.canopy: 0.3223, IoU.washer: 0.7409, IoU.plaything: 0.3260, IoU.swimming pool: 0.6740, IoU.stool: 0.6199, IoU.barrel: 0.2624, IoU.basket: 0.4264, IoU.waterfall: 0.6758, IoU.tent: 0.8845, IoU.bag: 0.2865, IoU.minibike: 0.7328, IoU.cradle: 0.8746, IoU.oven: 0.2890, IoU.ball: 0.4692, IoU.food: 0.6658, IoU.step: 0.2230, IoU.tank: 0.6058, IoU.trade name: 0.3433, IoU.microwave: 0.4375, IoU.pot: 0.5026, IoU.animal: 0.5877, IoU.bicycle: 0.5885, IoU.lake: 0.4430, IoU.dishwasher: 0.8253, IoU.screen: 0.6215, IoU.blanket: 0.4193, IoU.sculpture: 0.6746, IoU.hood: 0.7416, IoU.sconce: 0.5998, IoU.vase: 0.5514, IoU.traffic light: 0.4447, IoU.tray: 0.2341, IoU.ashcan: 0.4822, IoU.fan: 0.7177, IoU.pier: 0.1600, IoU.crt screen: 0.0127, IoU.plate: 0.6383, IoU.monitor: 0.0596, IoU.bulletin board: 0.6295, IoU.shower: 0.0607, IoU.radiator: 0.6745, IoU.glass: 0.2462, IoU.clock: 0.5443, IoU.flag: 0.4915, Acc.wall: 0.8736, Acc.building: 0.8886, Acc.sky: 0.9763, Acc.floor: 0.9107, Acc.tree: 0.8783, Acc.ceiling: 0.9350, Acc.road: 0.9115, Acc.bed : 0.9603, Acc.windowpane: 0.8310, Acc.grass: 0.8719, Acc.cabinet: 0.7665, Acc.sidewalk: 0.8247, Acc.person: 0.9356, Acc.earth: 0.5820, Acc.door: 0.7127, Acc.table: 0.8304, Acc.mountain: 0.7524, Acc.plant: 0.6673, Acc.curtain: 0.8782, Acc.chair: 0.8183, Acc.car: 0.9504, Acc.water: 0.6329, Acc.painting: 0.9193, Acc.sofa: 0.9037, Acc.shelf: 0.5887, Acc.house: 0.8752, Acc.sea: 0.9090, Acc.mirror: 0.8314, Acc.rug: 0.8029, Acc.field: 0.5674, Acc.armchair: 0.6794, Acc.seat: 0.8696, Acc.fence: 0.6859, Acc.desk: 0.7937, Acc.rock: 0.6464, Acc.wardrobe: 0.7623, Acc.lamp: 0.8471, Acc.bathtub: 0.8581, Acc.railing: 0.6125, Acc.cushion: 0.8049, Acc.base: 0.6128, Acc.box: 0.4881, Acc.column: 0.7011, Acc.signboard: 0.6004, Acc.chest of drawers: 0.7183, Acc.counter: 0.4672, Acc.sand: 0.5111, Acc.sink: 0.8651, Acc.skyscraper: 0.3083, Acc.fireplace: 0.9590, Acc.refrigerator: 0.9188, Acc.grandstand: 0.7088, Acc.path: 0.3986, Acc.stairs: 0.5860, Acc.runway: 0.9572, Acc.case: 0.8420, Acc.pool table: 0.9746, Acc.pillow: 0.7832, Acc.screen door: 0.8316, Acc.stairway: 0.4793, Acc.river: 0.2723, Acc.bridge: 0.9219, Acc.bookcase: 0.6009, Acc.blind: 0.4262, Acc.coffee table: 0.8757, Acc.toilet: 0.9374, Acc.flower: 0.6692, Acc.book: 0.7690, Acc.hill: 0.1334, Acc.bench: 0.7898, Acc.countertop: 0.7587, Acc.stove: 0.8754, Acc.palm: 0.8298, Acc.kitchen island: 0.7582, Acc.computer: 0.7729, Acc.swivel chair: 0.6093, Acc.boat: 0.9111, Acc.bar: 0.6377, Acc.arcade machine: 0.4431, Acc.hovel: 0.4844, Acc.bus: 0.9587, Acc.towel: 0.9083, Acc.light: 0.7819, Acc.truck: 0.4993, Acc.tower: 0.8012, Acc.chandelier: 0.8311, Acc.awning: 0.5729, Acc.streetlight: 0.6675, Acc.booth: 0.6732, Acc.television receiver: 0.8831, Acc.airplane: 0.7261, Acc.dirt track: 0.1651, Acc.apparel: 0.7404, Acc.pole: 0.5782, Acc.land: 0.0504, Acc.bannister: 0.2592, Acc.escalator: 0.2510, Acc.ottoman: 0.7832, Acc.bottle: 0.8198, Acc.buffet: 0.4693, Acc.poster: 0.4510, Acc.stage: 0.4571, Acc.van: 0.5682, Acc.ship: 0.1453, Acc.fountain: 0.2191, Acc.conveyer belt: 0.9248, Acc.canopy: 0.5048, Acc.washer: 0.7869, Acc.plaything: 0.6164, Acc.swimming pool: 0.7194, Acc.stool: 0.7777, Acc.barrel: 0.9844, Acc.basket: 0.5896, Acc.waterfall: 0.9506, Acc.tent: 0.9813, Acc.bag: 0.4022, Acc.minibike: 0.9141, Acc.cradle: 0.9725, Acc.oven: 0.8265, Acc.ball: 0.5322, Acc.food: 0.7707, Acc.step: 0.3282, Acc.tank: 0.6632, Acc.trade name: 0.4062, Acc.microwave: 0.4628, Acc.pot: 0.6386, Acc.animal: 0.6010, Acc.bicycle: 0.8319, Acc.lake: 0.6362, Acc.dishwasher: 0.8888, Acc.screen: 0.9003, Acc.blanket: 0.5630, Acc.sculpture: 0.9062, Acc.hood: 0.7843, Acc.sconce: 0.7738, Acc.vase: 0.7689, Acc.traffic light: 0.7393, Acc.tray: 0.3794, Acc.ashcan: 0.7418, Acc.fan: 0.8534, Acc.pier: 0.1742, Acc.crt screen: 0.0415, Acc.plate: 0.8448, Acc.monitor: 0.0781, Acc.bulletin board: 0.7725, Acc.shower: 0.2664, Acc.radiator: 0.8789, Acc.glass: 0.2728, Acc.clock: 0.7259, Acc.flag: 0.5869 2023-11-22 10:18:33,127 - mmseg - INFO - Iter [80050/160000] lr: 4.760e-06, eta: 13:02:06, time: 0.957, data_time: 0.404, memory: 38143, decode.loss_cls: 0.2856, decode.loss_mask: 0.4920, decode.loss_dice: 0.7608, decode.d0.loss_cls: 1.4204, decode.d0.loss_mask: 0.5276, decode.d0.loss_dice: 0.8532, decode.d1.loss_cls: 0.3791, decode.d1.loss_mask: 0.5111, decode.d1.loss_dice: 0.8079, decode.d2.loss_cls: 0.3297, decode.d2.loss_mask: 0.4980, decode.d2.loss_dice: 0.7820, decode.d3.loss_cls: 0.3005, decode.d3.loss_mask: 0.4962, decode.d3.loss_dice: 0.7665, decode.d4.loss_cls: 0.2955, decode.d4.loss_mask: 0.4949, decode.d4.loss_dice: 0.7583, decode.d5.loss_cls: 0.2915, decode.d5.loss_mask: 0.4935, decode.d5.loss_dice: 0.7649, decode.d6.loss_cls: 0.2890, decode.d6.loss_mask: 0.4935, decode.d6.loss_dice: 0.7569, decode.d7.loss_cls: 0.2850, decode.d7.loss_mask: 0.4936, decode.d7.loss_dice: 0.7594, decode.d8.loss_cls: 0.2819, decode.d8.loss_mask: 0.4926, decode.d8.loss_dice: 0.7592, loss: 16.9202, grad_norm: 71.9286 2023-11-22 10:19:01,430 - mmseg - INFO - Iter [80100/160000] lr: 4.757e-06, eta: 13:01:36, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2632, decode.loss_mask: 0.5179, decode.loss_dice: 0.7740, decode.d0.loss_cls: 1.3646, decode.d0.loss_mask: 0.5498, decode.d0.loss_dice: 0.8688, decode.d1.loss_cls: 0.3483, decode.d1.loss_mask: 0.5378, decode.d1.loss_dice: 0.8223, decode.d2.loss_cls: 0.3013, decode.d2.loss_mask: 0.5259, decode.d2.loss_dice: 0.7933, decode.d3.loss_cls: 0.2820, decode.d3.loss_mask: 0.5208, decode.d3.loss_dice: 0.7839, decode.d4.loss_cls: 0.2740, decode.d4.loss_mask: 0.5213, decode.d4.loss_dice: 0.7814, decode.d5.loss_cls: 0.2704, decode.d5.loss_mask: 0.5211, decode.d5.loss_dice: 0.7773, decode.d6.loss_cls: 0.2680, decode.d6.loss_mask: 0.5192, decode.d6.loss_dice: 0.7756, decode.d7.loss_cls: 0.2643, decode.d7.loss_mask: 0.5217, decode.d7.loss_dice: 0.7762, decode.d8.loss_cls: 0.2619, decode.d8.loss_mask: 0.5214, decode.d8.loss_dice: 0.7744, loss: 17.0821, grad_norm: 77.2117 2023-11-22 10:19:29,772 - mmseg - INFO - Iter [80150/160000] lr: 4.754e-06, eta: 13:01:05, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2630, decode.loss_mask: 0.5411, decode.loss_dice: 0.7801, decode.d0.loss_cls: 1.3563, decode.d0.loss_mask: 0.5762, decode.d0.loss_dice: 0.8634, decode.d1.loss_cls: 0.3374, decode.d1.loss_mask: 0.5640, decode.d1.loss_dice: 0.8241, decode.d2.loss_cls: 0.2989, decode.d2.loss_mask: 0.5498, decode.d2.loss_dice: 0.7969, decode.d3.loss_cls: 0.2759, decode.d3.loss_mask: 0.5442, decode.d3.loss_dice: 0.7826, decode.d4.loss_cls: 0.2786, decode.d4.loss_mask: 0.5431, decode.d4.loss_dice: 0.7865, decode.d5.loss_cls: 0.2659, decode.d5.loss_mask: 0.5449, decode.d5.loss_dice: 0.7863, decode.d6.loss_cls: 0.2673, decode.d6.loss_mask: 0.5427, decode.d6.loss_dice: 0.7802, decode.d7.loss_cls: 0.2614, decode.d7.loss_mask: 0.5426, decode.d7.loss_dice: 0.7769, decode.d8.loss_cls: 0.2599, decode.d8.loss_mask: 0.5419, decode.d8.loss_dice: 0.7795, loss: 17.3117, grad_norm: 70.7412 2023-11-22 10:19:58,362 - mmseg - INFO - Iter [80200/160000] lr: 4.751e-06, eta: 13:00:35, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2702, decode.loss_mask: 0.5093, decode.loss_dice: 0.7732, decode.d0.loss_cls: 1.4098, decode.d0.loss_mask: 0.5435, decode.d0.loss_dice: 0.8719, decode.d1.loss_cls: 0.3555, decode.d1.loss_mask: 0.5289, decode.d1.loss_dice: 0.8153, decode.d2.loss_cls: 0.3035, decode.d2.loss_mask: 0.5171, decode.d2.loss_dice: 0.7943, decode.d3.loss_cls: 0.2868, decode.d3.loss_mask: 0.5147, decode.d3.loss_dice: 0.7766, decode.d4.loss_cls: 0.2831, decode.d4.loss_mask: 0.5106, decode.d4.loss_dice: 0.7784, decode.d5.loss_cls: 0.2775, decode.d5.loss_mask: 0.5114, decode.d5.loss_dice: 0.7779, decode.d6.loss_cls: 0.2774, decode.d6.loss_mask: 0.5110, decode.d6.loss_dice: 0.7698, decode.d7.loss_cls: 0.2690, decode.d7.loss_mask: 0.5104, decode.d7.loss_dice: 0.7688, decode.d8.loss_cls: 0.2683, decode.d8.loss_mask: 0.5104, decode.d8.loss_dice: 0.7736, loss: 17.0684, grad_norm: 70.3159 2023-11-22 10:20:26,735 - mmseg - INFO - Iter [80250/160000] lr: 4.748e-06, eta: 13:00:05, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2658, decode.loss_mask: 0.5105, decode.loss_dice: 0.7351, decode.d0.loss_cls: 1.3571, decode.d0.loss_mask: 0.5409, decode.d0.loss_dice: 0.8193, decode.d1.loss_cls: 0.3539, decode.d1.loss_mask: 0.5294, decode.d1.loss_dice: 0.7719, decode.d2.loss_cls: 0.3072, decode.d2.loss_mask: 0.5187, decode.d2.loss_dice: 0.7566, decode.d3.loss_cls: 0.2874, decode.d3.loss_mask: 0.5131, decode.d3.loss_dice: 0.7334, decode.d4.loss_cls: 0.2799, decode.d4.loss_mask: 0.5121, decode.d4.loss_dice: 0.7333, decode.d5.loss_cls: 0.2797, decode.d5.loss_mask: 0.5093, decode.d5.loss_dice: 0.7385, decode.d6.loss_cls: 0.2773, decode.d6.loss_mask: 0.5126, decode.d6.loss_dice: 0.7349, decode.d7.loss_cls: 0.2712, decode.d7.loss_mask: 0.5135, decode.d7.loss_dice: 0.7311, decode.d8.loss_cls: 0.2643, decode.d8.loss_mask: 0.5126, decode.d8.loss_dice: 0.7341, loss: 16.6048, grad_norm: 69.7173 2023-11-22 10:20:55,169 - mmseg - INFO - Iter [80300/160000] lr: 4.745e-06, eta: 12:59:35, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2809, decode.loss_mask: 0.4880, decode.loss_dice: 0.7456, decode.d0.loss_cls: 1.4245, decode.d0.loss_mask: 0.5213, decode.d0.loss_dice: 0.8467, decode.d1.loss_cls: 0.3737, decode.d1.loss_mask: 0.5073, decode.d1.loss_dice: 0.7921, decode.d2.loss_cls: 0.3242, decode.d2.loss_mask: 0.4955, decode.d2.loss_dice: 0.7682, decode.d3.loss_cls: 0.3021, decode.d3.loss_mask: 0.4900, decode.d3.loss_dice: 0.7498, decode.d4.loss_cls: 0.2963, decode.d4.loss_mask: 0.4887, decode.d4.loss_dice: 0.7500, decode.d5.loss_cls: 0.2940, decode.d5.loss_mask: 0.4888, decode.d5.loss_dice: 0.7500, decode.d6.loss_cls: 0.2855, decode.d6.loss_mask: 0.4901, decode.d6.loss_dice: 0.7482, decode.d7.loss_cls: 0.2865, decode.d7.loss_mask: 0.4886, decode.d7.loss_dice: 0.7438, decode.d8.loss_cls: 0.2869, decode.d8.loss_mask: 0.4877, decode.d8.loss_dice: 0.7452, loss: 16.7401, grad_norm: 75.8175 2023-11-22 10:21:23,538 - mmseg - INFO - Iter [80350/160000] lr: 4.742e-06, eta: 12:59:04, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2719, decode.loss_mask: 0.5255, decode.loss_dice: 0.7794, decode.d0.loss_cls: 1.4149, decode.d0.loss_mask: 0.5606, decode.d0.loss_dice: 0.8789, decode.d1.loss_cls: 0.3593, decode.d1.loss_mask: 0.5480, decode.d1.loss_dice: 0.8282, decode.d2.loss_cls: 0.3050, decode.d2.loss_mask: 0.5402, decode.d2.loss_dice: 0.8065, decode.d3.loss_cls: 0.2885, decode.d3.loss_mask: 0.5316, decode.d3.loss_dice: 0.7916, decode.d4.loss_cls: 0.2872, decode.d4.loss_mask: 0.5306, decode.d4.loss_dice: 0.7909, decode.d5.loss_cls: 0.2774, decode.d5.loss_mask: 0.5306, decode.d5.loss_dice: 0.7877, decode.d6.loss_cls: 0.2753, decode.d6.loss_mask: 0.5284, decode.d6.loss_dice: 0.7795, decode.d7.loss_cls: 0.2721, decode.d7.loss_mask: 0.5257, decode.d7.loss_dice: 0.7846, decode.d8.loss_cls: 0.2688, decode.d8.loss_mask: 0.5249, decode.d8.loss_dice: 0.7806, loss: 17.3747, grad_norm: 70.6785 2023-11-22 10:21:51,904 - mmseg - INFO - Iter [80400/160000] lr: 4.739e-06, eta: 12:58:34, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2741, decode.loss_mask: 0.5186, decode.loss_dice: 0.7609, decode.d0.loss_cls: 1.4123, decode.d0.loss_mask: 0.5548, decode.d0.loss_dice: 0.8499, decode.d1.loss_cls: 0.3628, decode.d1.loss_mask: 0.5404, decode.d1.loss_dice: 0.8123, decode.d2.loss_cls: 0.3099, decode.d2.loss_mask: 0.5268, decode.d2.loss_dice: 0.7862, decode.d3.loss_cls: 0.2937, decode.d3.loss_mask: 0.5275, decode.d3.loss_dice: 0.7666, decode.d4.loss_cls: 0.2852, decode.d4.loss_mask: 0.5231, decode.d4.loss_dice: 0.7671, decode.d5.loss_cls: 0.2781, decode.d5.loss_mask: 0.5222, decode.d5.loss_dice: 0.7703, decode.d6.loss_cls: 0.2774, decode.d6.loss_mask: 0.5187, decode.d6.loss_dice: 0.7600, decode.d7.loss_cls: 0.2801, decode.d7.loss_mask: 0.5183, decode.d7.loss_dice: 0.7586, decode.d8.loss_cls: 0.2792, decode.d8.loss_mask: 0.5174, decode.d8.loss_dice: 0.7569, loss: 17.1093, grad_norm: 69.1423 2023-11-22 10:22:20,463 - mmseg - INFO - Iter [80450/160000] lr: 4.736e-06, eta: 12:58:04, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2786, decode.loss_mask: 0.5185, decode.loss_dice: 0.7733, decode.d0.loss_cls: 1.3988, decode.d0.loss_mask: 0.5572, decode.d0.loss_dice: 0.8641, decode.d1.loss_cls: 0.3623, decode.d1.loss_mask: 0.5410, decode.d1.loss_dice: 0.8129, decode.d2.loss_cls: 0.3238, decode.d2.loss_mask: 0.5302, decode.d2.loss_dice: 0.7927, decode.d3.loss_cls: 0.3007, decode.d3.loss_mask: 0.5215, decode.d3.loss_dice: 0.7778, decode.d4.loss_cls: 0.2942, decode.d4.loss_mask: 0.5201, decode.d4.loss_dice: 0.7765, decode.d5.loss_cls: 0.2846, decode.d5.loss_mask: 0.5177, decode.d5.loss_dice: 0.7754, decode.d6.loss_cls: 0.2760, decode.d6.loss_mask: 0.5190, decode.d6.loss_dice: 0.7722, decode.d7.loss_cls: 0.2801, decode.d7.loss_mask: 0.5187, decode.d7.loss_dice: 0.7762, decode.d8.loss_cls: 0.2743, decode.d8.loss_mask: 0.5203, decode.d8.loss_dice: 0.7707, loss: 17.2292, grad_norm: 78.6447 2023-11-22 10:22:48,932 - mmseg - INFO - Iter [80500/160000] lr: 4.733e-06, eta: 12:57:34, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2843, decode.loss_mask: 0.4984, decode.loss_dice: 0.7659, decode.d0.loss_cls: 1.4306, decode.d0.loss_mask: 0.5393, decode.d0.loss_dice: 0.8561, decode.d1.loss_cls: 0.3879, decode.d1.loss_mask: 0.5203, decode.d1.loss_dice: 0.8111, decode.d2.loss_cls: 0.3268, decode.d2.loss_mask: 0.5101, decode.d2.loss_dice: 0.7888, decode.d3.loss_cls: 0.3063, decode.d3.loss_mask: 0.5027, decode.d3.loss_dice: 0.7693, decode.d4.loss_cls: 0.3035, decode.d4.loss_mask: 0.5019, decode.d4.loss_dice: 0.7689, decode.d5.loss_cls: 0.2972, decode.d5.loss_mask: 0.5000, decode.d5.loss_dice: 0.7695, decode.d6.loss_cls: 0.2890, decode.d6.loss_mask: 0.5000, decode.d6.loss_dice: 0.7647, decode.d7.loss_cls: 0.2820, decode.d7.loss_mask: 0.5006, decode.d7.loss_dice: 0.7624, decode.d8.loss_cls: 0.2883, decode.d8.loss_mask: 0.4987, decode.d8.loss_dice: 0.7724, loss: 17.0971, grad_norm: 72.4861 2023-11-22 10:23:17,356 - mmseg - INFO - Iter [80550/160000] lr: 4.730e-06, eta: 12:57:04, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2599, decode.loss_mask: 0.5109, decode.loss_dice: 0.7709, decode.d0.loss_cls: 1.3898, decode.d0.loss_mask: 0.5452, decode.d0.loss_dice: 0.8607, decode.d1.loss_cls: 0.3449, decode.d1.loss_mask: 0.5301, decode.d1.loss_dice: 0.8116, decode.d2.loss_cls: 0.2937, decode.d2.loss_mask: 0.5189, decode.d2.loss_dice: 0.7907, decode.d3.loss_cls: 0.2779, decode.d3.loss_mask: 0.5095, decode.d3.loss_dice: 0.7753, decode.d4.loss_cls: 0.2691, decode.d4.loss_mask: 0.5123, decode.d4.loss_dice: 0.7761, decode.d5.loss_cls: 0.2676, decode.d5.loss_mask: 0.5117, decode.d5.loss_dice: 0.7721, decode.d6.loss_cls: 0.2588, decode.d6.loss_mask: 0.5108, decode.d6.loss_dice: 0.7718, decode.d7.loss_cls: 0.2597, decode.d7.loss_mask: 0.5094, decode.d7.loss_dice: 0.7740, decode.d8.loss_cls: 0.2585, decode.d8.loss_mask: 0.5114, decode.d8.loss_dice: 0.7752, loss: 16.9281, grad_norm: 70.3541 2023-11-22 10:23:45,756 - mmseg - INFO - Iter [80600/160000] lr: 4.727e-06, eta: 12:56:33, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2875, decode.loss_mask: 0.5176, decode.loss_dice: 0.7583, decode.d0.loss_cls: 1.4151, decode.d0.loss_mask: 0.5506, decode.d0.loss_dice: 0.8545, decode.d1.loss_cls: 0.3688, decode.d1.loss_mask: 0.5376, decode.d1.loss_dice: 0.8065, decode.d2.loss_cls: 0.3231, decode.d2.loss_mask: 0.5258, decode.d2.loss_dice: 0.7889, decode.d3.loss_cls: 0.3043, decode.d3.loss_mask: 0.5202, decode.d3.loss_dice: 0.7707, decode.d4.loss_cls: 0.2960, decode.d4.loss_mask: 0.5205, decode.d4.loss_dice: 0.7730, decode.d5.loss_cls: 0.2929, decode.d5.loss_mask: 0.5219, decode.d5.loss_dice: 0.7651, decode.d6.loss_cls: 0.2982, decode.d6.loss_mask: 0.5174, decode.d6.loss_dice: 0.7600, decode.d7.loss_cls: 0.2899, decode.d7.loss_mask: 0.5180, decode.d7.loss_dice: 0.7619, decode.d8.loss_cls: 0.2853, decode.d8.loss_mask: 0.5181, decode.d8.loss_dice: 0.7647, loss: 17.2122, grad_norm: 71.0477 2023-11-22 10:24:14,180 - mmseg - INFO - Iter [80650/160000] lr: 4.724e-06, eta: 12:56:03, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2732, decode.loss_mask: 0.5031, decode.loss_dice: 0.7410, decode.d0.loss_cls: 1.4007, decode.d0.loss_mask: 0.5372, decode.d0.loss_dice: 0.8312, decode.d1.loss_cls: 0.3558, decode.d1.loss_mask: 0.5218, decode.d1.loss_dice: 0.7829, decode.d2.loss_cls: 0.3138, decode.d2.loss_mask: 0.5061, decode.d2.loss_dice: 0.7670, decode.d3.loss_cls: 0.2920, decode.d3.loss_mask: 0.5051, decode.d3.loss_dice: 0.7490, decode.d4.loss_cls: 0.2880, decode.d4.loss_mask: 0.5007, decode.d4.loss_dice: 0.7474, decode.d5.loss_cls: 0.2856, decode.d5.loss_mask: 0.4988, decode.d5.loss_dice: 0.7414, decode.d6.loss_cls: 0.2760, decode.d6.loss_mask: 0.5020, decode.d6.loss_dice: 0.7380, decode.d7.loss_cls: 0.2774, decode.d7.loss_mask: 0.4992, decode.d7.loss_dice: 0.7389, decode.d8.loss_cls: 0.2706, decode.d8.loss_mask: 0.5020, decode.d8.loss_dice: 0.7425, loss: 16.6884, grad_norm: 72.9791 2023-11-22 10:24:42,633 - mmseg - INFO - Iter [80700/160000] lr: 4.721e-06, eta: 12:55:33, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2718, decode.loss_mask: 0.5139, decode.loss_dice: 0.7577, decode.d0.loss_cls: 1.4046, decode.d0.loss_mask: 0.5538, decode.d0.loss_dice: 0.8406, decode.d1.loss_cls: 0.3617, decode.d1.loss_mask: 0.5396, decode.d1.loss_dice: 0.8026, decode.d2.loss_cls: 0.3108, decode.d2.loss_mask: 0.5250, decode.d2.loss_dice: 0.7777, decode.d3.loss_cls: 0.2900, decode.d3.loss_mask: 0.5185, decode.d3.loss_dice: 0.7616, decode.d4.loss_cls: 0.2826, decode.d4.loss_mask: 0.5178, decode.d4.loss_dice: 0.7627, decode.d5.loss_cls: 0.2763, decode.d5.loss_mask: 0.5169, decode.d5.loss_dice: 0.7599, decode.d6.loss_cls: 0.2785, decode.d6.loss_mask: 0.5153, decode.d6.loss_dice: 0.7576, decode.d7.loss_cls: 0.2756, decode.d7.loss_mask: 0.5136, decode.d7.loss_dice: 0.7633, decode.d8.loss_cls: 0.2709, decode.d8.loss_mask: 0.5166, decode.d8.loss_dice: 0.7626, loss: 16.9999, grad_norm: 73.6192 2023-11-22 10:25:11,265 - mmseg - INFO - Iter [80750/160000] lr: 4.718e-06, eta: 12:55:03, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2690, decode.loss_mask: 0.5009, decode.loss_dice: 0.7477, decode.d0.loss_cls: 1.3923, decode.d0.loss_mask: 0.5383, decode.d0.loss_dice: 0.8359, decode.d1.loss_cls: 0.3588, decode.d1.loss_mask: 0.5175, decode.d1.loss_dice: 0.7911, decode.d2.loss_cls: 0.3083, decode.d2.loss_mask: 0.5092, decode.d2.loss_dice: 0.7722, decode.d3.loss_cls: 0.2874, decode.d3.loss_mask: 0.5047, decode.d3.loss_dice: 0.7615, decode.d4.loss_cls: 0.2776, decode.d4.loss_mask: 0.5038, decode.d4.loss_dice: 0.7551, decode.d5.loss_cls: 0.2784, decode.d5.loss_mask: 0.5027, decode.d5.loss_dice: 0.7530, decode.d6.loss_cls: 0.2806, decode.d6.loss_mask: 0.4997, decode.d6.loss_dice: 0.7503, decode.d7.loss_cls: 0.2656, decode.d7.loss_mask: 0.5014, decode.d7.loss_dice: 0.7527, decode.d8.loss_cls: 0.2699, decode.d8.loss_mask: 0.4995, decode.d8.loss_dice: 0.7502, loss: 16.7351, grad_norm: 66.1594 2023-11-22 10:25:39,773 - mmseg - INFO - Iter [80800/160000] lr: 4.715e-06, eta: 12:54:33, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2728, decode.loss_mask: 0.5069, decode.loss_dice: 0.7575, decode.d0.loss_cls: 1.3983, decode.d0.loss_mask: 0.5406, decode.d0.loss_dice: 0.8572, decode.d1.loss_cls: 0.3672, decode.d1.loss_mask: 0.5272, decode.d1.loss_dice: 0.8064, decode.d2.loss_cls: 0.3144, decode.d2.loss_mask: 0.5156, decode.d2.loss_dice: 0.7851, decode.d3.loss_cls: 0.2920, decode.d3.loss_mask: 0.5100, decode.d3.loss_dice: 0.7687, decode.d4.loss_cls: 0.2810, decode.d4.loss_mask: 0.5131, decode.d4.loss_dice: 0.7664, decode.d5.loss_cls: 0.2770, decode.d5.loss_mask: 0.5103, decode.d5.loss_dice: 0.7639, decode.d6.loss_cls: 0.2750, decode.d6.loss_mask: 0.5089, decode.d6.loss_dice: 0.7577, decode.d7.loss_cls: 0.2705, decode.d7.loss_mask: 0.5066, decode.d7.loss_dice: 0.7634, decode.d8.loss_cls: 0.2713, decode.d8.loss_mask: 0.5065, decode.d8.loss_dice: 0.7611, loss: 16.9525, grad_norm: 73.0698 2023-11-22 10:26:10,512 - mmseg - INFO - Iter [80850/160000] lr: 4.712e-06, eta: 12:54:05, time: 0.615, data_time: 0.059, memory: 38143, decode.loss_cls: 0.2800, decode.loss_mask: 0.5116, decode.loss_dice: 0.7316, decode.d0.loss_cls: 1.3756, decode.d0.loss_mask: 0.5527, decode.d0.loss_dice: 0.8341, decode.d1.loss_cls: 0.3575, decode.d1.loss_mask: 0.5355, decode.d1.loss_dice: 0.7798, decode.d2.loss_cls: 0.3162, decode.d2.loss_mask: 0.5198, decode.d2.loss_dice: 0.7519, decode.d3.loss_cls: 0.2970, decode.d3.loss_mask: 0.5150, decode.d3.loss_dice: 0.7396, decode.d4.loss_cls: 0.2908, decode.d4.loss_mask: 0.5143, decode.d4.loss_dice: 0.7371, decode.d5.loss_cls: 0.2857, decode.d5.loss_mask: 0.5144, decode.d5.loss_dice: 0.7384, decode.d6.loss_cls: 0.2860, decode.d6.loss_mask: 0.5126, decode.d6.loss_dice: 0.7330, decode.d7.loss_cls: 0.2807, decode.d7.loss_mask: 0.5135, decode.d7.loss_dice: 0.7328, decode.d8.loss_cls: 0.2818, decode.d8.loss_mask: 0.5123, decode.d8.loss_dice: 0.7301, loss: 16.7616, grad_norm: 80.7466 2023-11-22 10:26:39,153 - mmseg - INFO - Iter [80900/160000] lr: 4.709e-06, eta: 12:53:35, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2742, decode.loss_mask: 0.5170, decode.loss_dice: 0.7776, decode.d0.loss_cls: 1.4257, decode.d0.loss_mask: 0.5548, decode.d0.loss_dice: 0.8809, decode.d1.loss_cls: 0.3765, decode.d1.loss_mask: 0.5354, decode.d1.loss_dice: 0.8221, decode.d2.loss_cls: 0.3201, decode.d2.loss_mask: 0.5273, decode.d2.loss_dice: 0.8035, decode.d3.loss_cls: 0.2990, decode.d3.loss_mask: 0.5203, decode.d3.loss_dice: 0.7890, decode.d4.loss_cls: 0.2901, decode.d4.loss_mask: 0.5183, decode.d4.loss_dice: 0.7884, decode.d5.loss_cls: 0.2872, decode.d5.loss_mask: 0.5173, decode.d5.loss_dice: 0.7847, decode.d6.loss_cls: 0.2832, decode.d6.loss_mask: 0.5183, decode.d6.loss_dice: 0.7798, decode.d7.loss_cls: 0.2733, decode.d7.loss_mask: 0.5192, decode.d7.loss_dice: 0.7777, decode.d8.loss_cls: 0.2718, decode.d8.loss_mask: 0.5196, decode.d8.loss_dice: 0.7744, loss: 17.3269, grad_norm: 68.7313 2023-11-22 10:27:07,473 - mmseg - INFO - Iter [80950/160000] lr: 4.706e-06, eta: 12:53:04, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2515, decode.loss_mask: 0.5164, decode.loss_dice: 0.7605, decode.d0.loss_cls: 1.3792, decode.d0.loss_mask: 0.5511, decode.d0.loss_dice: 0.8446, decode.d1.loss_cls: 0.3388, decode.d1.loss_mask: 0.5357, decode.d1.loss_dice: 0.8005, decode.d2.loss_cls: 0.2867, decode.d2.loss_mask: 0.5222, decode.d2.loss_dice: 0.7783, decode.d3.loss_cls: 0.2763, decode.d3.loss_mask: 0.5202, decode.d3.loss_dice: 0.7642, decode.d4.loss_cls: 0.2714, decode.d4.loss_mask: 0.5196, decode.d4.loss_dice: 0.7644, decode.d5.loss_cls: 0.2617, decode.d5.loss_mask: 0.5180, decode.d5.loss_dice: 0.7670, decode.d6.loss_cls: 0.2611, decode.d6.loss_mask: 0.5163, decode.d6.loss_dice: 0.7598, decode.d7.loss_cls: 0.2555, decode.d7.loss_mask: 0.5170, decode.d7.loss_dice: 0.7598, decode.d8.loss_cls: 0.2575, decode.d8.loss_mask: 0.5135, decode.d8.loss_dice: 0.7571, loss: 16.8259, grad_norm: 70.1052 2023-11-22 10:27:35,869 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 10:27:35,870 - mmseg - INFO - Iter [81000/160000] lr: 4.703e-06, eta: 12:52:34, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2554, decode.loss_mask: 0.5256, decode.loss_dice: 0.7533, decode.d0.loss_cls: 1.3753, decode.d0.loss_mask: 0.5545, decode.d0.loss_dice: 0.8365, decode.d1.loss_cls: 0.3437, decode.d1.loss_mask: 0.5442, decode.d1.loss_dice: 0.7964, decode.d2.loss_cls: 0.2898, decode.d2.loss_mask: 0.5331, decode.d2.loss_dice: 0.7711, decode.d3.loss_cls: 0.2700, decode.d3.loss_mask: 0.5303, decode.d3.loss_dice: 0.7608, decode.d4.loss_cls: 0.2687, decode.d4.loss_mask: 0.5270, decode.d4.loss_dice: 0.7633, decode.d5.loss_cls: 0.2605, decode.d5.loss_mask: 0.5260, decode.d5.loss_dice: 0.7604, decode.d6.loss_cls: 0.2627, decode.d6.loss_mask: 0.5223, decode.d6.loss_dice: 0.7532, decode.d7.loss_cls: 0.2599, decode.d7.loss_mask: 0.5252, decode.d7.loss_dice: 0.7547, decode.d8.loss_cls: 0.2532, decode.d8.loss_mask: 0.5239, decode.d8.loss_dice: 0.7561, loss: 16.8570, grad_norm: 74.1044 2023-11-22 10:28:04,629 - mmseg - INFO - Iter [81050/160000] lr: 4.700e-06, eta: 12:52:04, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2699, decode.loss_mask: 0.5139, decode.loss_dice: 0.7831, decode.d0.loss_cls: 1.4096, decode.d0.loss_mask: 0.5522, decode.d0.loss_dice: 0.8666, decode.d1.loss_cls: 0.3487, decode.d1.loss_mask: 0.5321, decode.d1.loss_dice: 0.8265, decode.d2.loss_cls: 0.3022, decode.d2.loss_mask: 0.5221, decode.d2.loss_dice: 0.8072, decode.d3.loss_cls: 0.2829, decode.d3.loss_mask: 0.5194, decode.d3.loss_dice: 0.7918, decode.d4.loss_cls: 0.2717, decode.d4.loss_mask: 0.5160, decode.d4.loss_dice: 0.7922, decode.d5.loss_cls: 0.2755, decode.d5.loss_mask: 0.5155, decode.d5.loss_dice: 0.7905, decode.d6.loss_cls: 0.2748, decode.d6.loss_mask: 0.5160, decode.d6.loss_dice: 0.7860, decode.d7.loss_cls: 0.2692, decode.d7.loss_mask: 0.5139, decode.d7.loss_dice: 0.7849, decode.d8.loss_cls: 0.2672, decode.d8.loss_mask: 0.5142, decode.d8.loss_dice: 0.7839, loss: 17.1999, grad_norm: 71.6315 2023-11-22 10:28:32,995 - mmseg - INFO - Iter [81100/160000] lr: 4.697e-06, eta: 12:51:34, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2603, decode.loss_mask: 0.5044, decode.loss_dice: 0.7417, decode.d0.loss_cls: 1.3581, decode.d0.loss_mask: 0.5333, decode.d0.loss_dice: 0.8288, decode.d1.loss_cls: 0.3394, decode.d1.loss_mask: 0.5208, decode.d1.loss_dice: 0.7775, decode.d2.loss_cls: 0.2981, decode.d2.loss_mask: 0.5107, decode.d2.loss_dice: 0.7569, decode.d3.loss_cls: 0.2821, decode.d3.loss_mask: 0.5059, decode.d3.loss_dice: 0.7452, decode.d4.loss_cls: 0.2703, decode.d4.loss_mask: 0.5055, decode.d4.loss_dice: 0.7490, decode.d5.loss_cls: 0.2666, decode.d5.loss_mask: 0.5074, decode.d5.loss_dice: 0.7482, decode.d6.loss_cls: 0.2623, decode.d6.loss_mask: 0.5059, decode.d6.loss_dice: 0.7436, decode.d7.loss_cls: 0.2604, decode.d7.loss_mask: 0.5035, decode.d7.loss_dice: 0.7376, decode.d8.loss_cls: 0.2589, decode.d8.loss_mask: 0.5039, decode.d8.loss_dice: 0.7394, loss: 16.5255, grad_norm: 68.5147 2023-11-22 10:29:01,286 - mmseg - INFO - Iter [81150/160000] lr: 4.694e-06, eta: 12:51:04, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2676, decode.loss_mask: 0.5075, decode.loss_dice: 0.7534, decode.d0.loss_cls: 1.4058, decode.d0.loss_mask: 0.5479, decode.d0.loss_dice: 0.8444, decode.d1.loss_cls: 0.3532, decode.d1.loss_mask: 0.5285, decode.d1.loss_dice: 0.8011, decode.d2.loss_cls: 0.2970, decode.d2.loss_mask: 0.5177, decode.d2.loss_dice: 0.7758, decode.d3.loss_cls: 0.2871, decode.d3.loss_mask: 0.5137, decode.d3.loss_dice: 0.7597, decode.d4.loss_cls: 0.2787, decode.d4.loss_mask: 0.5114, decode.d4.loss_dice: 0.7569, decode.d5.loss_cls: 0.2692, decode.d5.loss_mask: 0.5105, decode.d5.loss_dice: 0.7629, decode.d6.loss_cls: 0.2729, decode.d6.loss_mask: 0.5075, decode.d6.loss_dice: 0.7527, decode.d7.loss_cls: 0.2682, decode.d7.loss_mask: 0.5081, decode.d7.loss_dice: 0.7519, decode.d8.loss_cls: 0.2630, decode.d8.loss_mask: 0.5086, decode.d8.loss_dice: 0.7588, loss: 16.8417, grad_norm: 74.4283 2023-11-22 10:29:29,769 - mmseg - INFO - Iter [81200/160000] lr: 4.691e-06, eta: 12:50:33, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2680, decode.loss_mask: 0.4954, decode.loss_dice: 0.7431, decode.d0.loss_cls: 1.4060, decode.d0.loss_mask: 0.5318, decode.d0.loss_dice: 0.8430, decode.d1.loss_cls: 0.3654, decode.d1.loss_mask: 0.5151, decode.d1.loss_dice: 0.7867, decode.d2.loss_cls: 0.3094, decode.d2.loss_mask: 0.5043, decode.d2.loss_dice: 0.7659, decode.d3.loss_cls: 0.2911, decode.d3.loss_mask: 0.4988, decode.d3.loss_dice: 0.7496, decode.d4.loss_cls: 0.2819, decode.d4.loss_mask: 0.4958, decode.d4.loss_dice: 0.7484, decode.d5.loss_cls: 0.2751, decode.d5.loss_mask: 0.4945, decode.d5.loss_dice: 0.7484, decode.d6.loss_cls: 0.2741, decode.d6.loss_mask: 0.4937, decode.d6.loss_dice: 0.7378, decode.d7.loss_cls: 0.2677, decode.d7.loss_mask: 0.4971, decode.d7.loss_dice: 0.7418, decode.d8.loss_cls: 0.2670, decode.d8.loss_mask: 0.4949, decode.d8.loss_dice: 0.7438, loss: 16.6353, grad_norm: 76.8529 2023-11-22 10:29:58,040 - mmseg - INFO - Iter [81250/160000] lr: 4.688e-06, eta: 12:50:03, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2646, decode.loss_mask: 0.4852, decode.loss_dice: 0.7496, decode.d0.loss_cls: 1.3863, decode.d0.loss_mask: 0.5192, decode.d0.loss_dice: 0.8373, decode.d1.loss_cls: 0.3591, decode.d1.loss_mask: 0.5051, decode.d1.loss_dice: 0.7844, decode.d2.loss_cls: 0.3005, decode.d2.loss_mask: 0.4948, decode.d2.loss_dice: 0.7694, decode.d3.loss_cls: 0.2810, decode.d3.loss_mask: 0.4919, decode.d3.loss_dice: 0.7578, decode.d4.loss_cls: 0.2716, decode.d4.loss_mask: 0.4883, decode.d4.loss_dice: 0.7568, decode.d5.loss_cls: 0.2691, decode.d5.loss_mask: 0.4866, decode.d5.loss_dice: 0.7519, decode.d6.loss_cls: 0.2688, decode.d6.loss_mask: 0.4862, decode.d6.loss_dice: 0.7471, decode.d7.loss_cls: 0.2716, decode.d7.loss_mask: 0.4838, decode.d7.loss_dice: 0.7457, decode.d8.loss_cls: 0.2666, decode.d8.loss_mask: 0.4852, decode.d8.loss_dice: 0.7530, loss: 16.5181, grad_norm: 71.9373 2023-11-22 10:30:26,292 - mmseg - INFO - Iter [81300/160000] lr: 4.685e-06, eta: 12:49:33, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2705, decode.loss_mask: 0.5007, decode.loss_dice: 0.7532, decode.d0.loss_cls: 1.3654, decode.d0.loss_mask: 0.5361, decode.d0.loss_dice: 0.8486, decode.d1.loss_cls: 0.3442, decode.d1.loss_mask: 0.5231, decode.d1.loss_dice: 0.7955, decode.d2.loss_cls: 0.3073, decode.d2.loss_mask: 0.5122, decode.d2.loss_dice: 0.7750, decode.d3.loss_cls: 0.2917, decode.d3.loss_mask: 0.5061, decode.d3.loss_dice: 0.7594, decode.d4.loss_cls: 0.2843, decode.d4.loss_mask: 0.5082, decode.d4.loss_dice: 0.7569, decode.d5.loss_cls: 0.2822, decode.d5.loss_mask: 0.5051, decode.d5.loss_dice: 0.7510, decode.d6.loss_cls: 0.2734, decode.d6.loss_mask: 0.5036, decode.d6.loss_dice: 0.7549, decode.d7.loss_cls: 0.2708, decode.d7.loss_mask: 0.5031, decode.d7.loss_dice: 0.7556, decode.d8.loss_cls: 0.2707, decode.d8.loss_mask: 0.5004, decode.d8.loss_dice: 0.7556, loss: 16.7648, grad_norm: 73.5517 2023-11-22 10:30:54,964 - mmseg - INFO - Iter [81350/160000] lr: 4.682e-06, eta: 12:49:03, time: 0.573, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2514, decode.loss_mask: 0.5037, decode.loss_dice: 0.7355, decode.d0.loss_cls: 1.3743, decode.d0.loss_mask: 0.5348, decode.d0.loss_dice: 0.8246, decode.d1.loss_cls: 0.3405, decode.d1.loss_mask: 0.5244, decode.d1.loss_dice: 0.7778, decode.d2.loss_cls: 0.2943, decode.d2.loss_mask: 0.5146, decode.d2.loss_dice: 0.7627, decode.d3.loss_cls: 0.2783, decode.d3.loss_mask: 0.5039, decode.d3.loss_dice: 0.7479, decode.d4.loss_cls: 0.2700, decode.d4.loss_mask: 0.5045, decode.d4.loss_dice: 0.7440, decode.d5.loss_cls: 0.2603, decode.d5.loss_mask: 0.5054, decode.d5.loss_dice: 0.7416, decode.d6.loss_cls: 0.2562, decode.d6.loss_mask: 0.5042, decode.d6.loss_dice: 0.7441, decode.d7.loss_cls: 0.2562, decode.d7.loss_mask: 0.5036, decode.d7.loss_dice: 0.7388, decode.d8.loss_cls: 0.2501, decode.d8.loss_mask: 0.5029, decode.d8.loss_dice: 0.7368, loss: 16.4875, grad_norm: 69.7858 2023-11-22 10:31:23,126 - mmseg - INFO - Iter [81400/160000] lr: 4.679e-06, eta: 12:48:32, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2592, decode.loss_mask: 0.5052, decode.loss_dice: 0.7509, decode.d0.loss_cls: 1.3527, decode.d0.loss_mask: 0.5301, decode.d0.loss_dice: 0.8467, decode.d1.loss_cls: 0.3480, decode.d1.loss_mask: 0.5196, decode.d1.loss_dice: 0.7965, decode.d2.loss_cls: 0.2972, decode.d2.loss_mask: 0.5111, decode.d2.loss_dice: 0.7744, decode.d3.loss_cls: 0.2829, decode.d3.loss_mask: 0.5075, decode.d3.loss_dice: 0.7640, decode.d4.loss_cls: 0.2698, decode.d4.loss_mask: 0.5070, decode.d4.loss_dice: 0.7632, decode.d5.loss_cls: 0.2686, decode.d5.loss_mask: 0.5042, decode.d5.loss_dice: 0.7621, decode.d6.loss_cls: 0.2636, decode.d6.loss_mask: 0.5057, decode.d6.loss_dice: 0.7599, decode.d7.loss_cls: 0.2616, decode.d7.loss_mask: 0.5058, decode.d7.loss_dice: 0.7571, decode.d8.loss_cls: 0.2609, decode.d8.loss_mask: 0.5051, decode.d8.loss_dice: 0.7582, loss: 16.6987, grad_norm: 74.9060 2023-11-22 10:31:51,428 - mmseg - INFO - Iter [81450/160000] lr: 4.676e-06, eta: 12:48:02, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2714, decode.loss_mask: 0.5013, decode.loss_dice: 0.7478, decode.d0.loss_cls: 1.3834, decode.d0.loss_mask: 0.5373, decode.d0.loss_dice: 0.8409, decode.d1.loss_cls: 0.3571, decode.d1.loss_mask: 0.5209, decode.d1.loss_dice: 0.7917, decode.d2.loss_cls: 0.3106, decode.d2.loss_mask: 0.5075, decode.d2.loss_dice: 0.7662, decode.d3.loss_cls: 0.2962, decode.d3.loss_mask: 0.5039, decode.d3.loss_dice: 0.7523, decode.d4.loss_cls: 0.2833, decode.d4.loss_mask: 0.5054, decode.d4.loss_dice: 0.7579, decode.d5.loss_cls: 0.2771, decode.d5.loss_mask: 0.5061, decode.d5.loss_dice: 0.7554, decode.d6.loss_cls: 0.2802, decode.d6.loss_mask: 0.5008, decode.d6.loss_dice: 0.7507, decode.d7.loss_cls: 0.2765, decode.d7.loss_mask: 0.5008, decode.d7.loss_dice: 0.7515, decode.d8.loss_cls: 0.2760, decode.d8.loss_mask: 0.5014, decode.d8.loss_dice: 0.7516, loss: 16.7631, grad_norm: 64.9406 2023-11-22 10:32:20,024 - mmseg - INFO - Iter [81500/160000] lr: 4.673e-06, eta: 12:47:32, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2617, decode.loss_mask: 0.4928, decode.loss_dice: 0.7373, decode.d0.loss_cls: 1.3970, decode.d0.loss_mask: 0.5266, decode.d0.loss_dice: 0.8312, decode.d1.loss_cls: 0.3530, decode.d1.loss_mask: 0.5100, decode.d1.loss_dice: 0.7782, decode.d2.loss_cls: 0.3028, decode.d2.loss_mask: 0.4985, decode.d2.loss_dice: 0.7604, decode.d3.loss_cls: 0.2779, decode.d3.loss_mask: 0.5006, decode.d3.loss_dice: 0.7509, decode.d4.loss_cls: 0.2716, decode.d4.loss_mask: 0.4957, decode.d4.loss_dice: 0.7469, decode.d5.loss_cls: 0.2737, decode.d5.loss_mask: 0.4949, decode.d5.loss_dice: 0.7451, decode.d6.loss_cls: 0.2699, decode.d6.loss_mask: 0.4937, decode.d6.loss_dice: 0.7380, decode.d7.loss_cls: 0.2612, decode.d7.loss_mask: 0.4914, decode.d7.loss_dice: 0.7393, decode.d8.loss_cls: 0.2616, decode.d8.loss_mask: 0.4917, decode.d8.loss_dice: 0.7411, loss: 16.4945, grad_norm: 68.5888 2023-11-22 10:32:48,385 - mmseg - INFO - Iter [81550/160000] lr: 4.670e-06, eta: 12:47:02, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2612, decode.loss_mask: 0.5248, decode.loss_dice: 0.7630, decode.d0.loss_cls: 1.3593, decode.d0.loss_mask: 0.5666, decode.d0.loss_dice: 0.8600, decode.d1.loss_cls: 0.3518, decode.d1.loss_mask: 0.5494, decode.d1.loss_dice: 0.8123, decode.d2.loss_cls: 0.2896, decode.d2.loss_mask: 0.5387, decode.d2.loss_dice: 0.7936, decode.d3.loss_cls: 0.2752, decode.d3.loss_mask: 0.5281, decode.d3.loss_dice: 0.7742, decode.d4.loss_cls: 0.2670, decode.d4.loss_mask: 0.5284, decode.d4.loss_dice: 0.7738, decode.d5.loss_cls: 0.2687, decode.d5.loss_mask: 0.5273, decode.d5.loss_dice: 0.7656, decode.d6.loss_cls: 0.2620, decode.d6.loss_mask: 0.5275, decode.d6.loss_dice: 0.7662, decode.d7.loss_cls: 0.2590, decode.d7.loss_mask: 0.5273, decode.d7.loss_dice: 0.7674, decode.d8.loss_cls: 0.2623, decode.d8.loss_mask: 0.5273, decode.d8.loss_dice: 0.7631, loss: 17.0407, grad_norm: 75.3480 2023-11-22 10:33:16,930 - mmseg - INFO - Iter [81600/160000] lr: 4.667e-06, eta: 12:46:31, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2538, decode.loss_mask: 0.5041, decode.loss_dice: 0.7532, decode.d0.loss_cls: 1.3734, decode.d0.loss_mask: 0.5398, decode.d0.loss_dice: 0.8533, decode.d1.loss_cls: 0.3424, decode.d1.loss_mask: 0.5310, decode.d1.loss_dice: 0.8025, decode.d2.loss_cls: 0.3031, decode.d2.loss_mask: 0.5138, decode.d2.loss_dice: 0.7735, decode.d3.loss_cls: 0.2736, decode.d3.loss_mask: 0.5088, decode.d3.loss_dice: 0.7568, decode.d4.loss_cls: 0.2649, decode.d4.loss_mask: 0.5078, decode.d4.loss_dice: 0.7584, decode.d5.loss_cls: 0.2654, decode.d5.loss_mask: 0.5045, decode.d5.loss_dice: 0.7567, decode.d6.loss_cls: 0.2606, decode.d6.loss_mask: 0.5065, decode.d6.loss_dice: 0.7561, decode.d7.loss_cls: 0.2588, decode.d7.loss_mask: 0.5060, decode.d7.loss_dice: 0.7574, decode.d8.loss_cls: 0.2595, decode.d8.loss_mask: 0.5054, decode.d8.loss_dice: 0.7564, loss: 16.7075, grad_norm: 76.9392 2023-11-22 10:33:45,706 - mmseg - INFO - Iter [81650/160000] lr: 4.664e-06, eta: 12:46:02, time: 0.575, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2626, decode.loss_mask: 0.5023, decode.loss_dice: 0.7499, decode.d0.loss_cls: 1.3483, decode.d0.loss_mask: 0.5402, decode.d0.loss_dice: 0.8437, decode.d1.loss_cls: 0.3446, decode.d1.loss_mask: 0.5221, decode.d1.loss_dice: 0.7960, decode.d2.loss_cls: 0.2980, decode.d2.loss_mask: 0.5116, decode.d2.loss_dice: 0.7704, decode.d3.loss_cls: 0.2792, decode.d3.loss_mask: 0.5062, decode.d3.loss_dice: 0.7542, decode.d4.loss_cls: 0.2731, decode.d4.loss_mask: 0.5085, decode.d4.loss_dice: 0.7538, decode.d5.loss_cls: 0.2700, decode.d5.loss_mask: 0.5036, decode.d5.loss_dice: 0.7558, decode.d6.loss_cls: 0.2659, decode.d6.loss_mask: 0.5018, decode.d6.loss_dice: 0.7494, decode.d7.loss_cls: 0.2678, decode.d7.loss_mask: 0.5040, decode.d7.loss_dice: 0.7531, decode.d8.loss_cls: 0.2621, decode.d8.loss_mask: 0.5043, decode.d8.loss_dice: 0.7522, loss: 16.6544, grad_norm: 69.2910 2023-11-22 10:34:14,064 - mmseg - INFO - Iter [81700/160000] lr: 4.661e-06, eta: 12:45:31, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2844, decode.loss_mask: 0.4984, decode.loss_dice: 0.7549, decode.d0.loss_cls: 1.4086, decode.d0.loss_mask: 0.5385, decode.d0.loss_dice: 0.8570, decode.d1.loss_cls: 0.3735, decode.d1.loss_mask: 0.5208, decode.d1.loss_dice: 0.8053, decode.d2.loss_cls: 0.3254, decode.d2.loss_mask: 0.5053, decode.d2.loss_dice: 0.7773, decode.d3.loss_cls: 0.3067, decode.d3.loss_mask: 0.5005, decode.d3.loss_dice: 0.7582, decode.d4.loss_cls: 0.2893, decode.d4.loss_mask: 0.5039, decode.d4.loss_dice: 0.7627, decode.d5.loss_cls: 0.2898, decode.d5.loss_mask: 0.5004, decode.d5.loss_dice: 0.7589, decode.d6.loss_cls: 0.2886, decode.d6.loss_mask: 0.4991, decode.d6.loss_dice: 0.7524, decode.d7.loss_cls: 0.2834, decode.d7.loss_mask: 0.5003, decode.d7.loss_dice: 0.7547, decode.d8.loss_cls: 0.2847, decode.d8.loss_mask: 0.4977, decode.d8.loss_dice: 0.7525, loss: 16.9332, grad_norm: 71.9993 2023-11-22 10:34:42,435 - mmseg - INFO - Iter [81750/160000] lr: 4.658e-06, eta: 12:45:01, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2683, decode.loss_mask: 0.5295, decode.loss_dice: 0.7672, decode.d0.loss_cls: 1.3737, decode.d0.loss_mask: 0.5700, decode.d0.loss_dice: 0.8562, decode.d1.loss_cls: 0.3493, decode.d1.loss_mask: 0.5566, decode.d1.loss_dice: 0.8130, decode.d2.loss_cls: 0.3054, decode.d2.loss_mask: 0.5440, decode.d2.loss_dice: 0.7891, decode.d3.loss_cls: 0.2843, decode.d3.loss_mask: 0.5382, decode.d3.loss_dice: 0.7734, decode.d4.loss_cls: 0.2830, decode.d4.loss_mask: 0.5321, decode.d4.loss_dice: 0.7714, decode.d5.loss_cls: 0.2787, decode.d5.loss_mask: 0.5343, decode.d5.loss_dice: 0.7701, decode.d6.loss_cls: 0.2729, decode.d6.loss_mask: 0.5298, decode.d6.loss_dice: 0.7645, decode.d7.loss_cls: 0.2741, decode.d7.loss_mask: 0.5287, decode.d7.loss_dice: 0.7673, decode.d8.loss_cls: 0.2675, decode.d8.loss_mask: 0.5323, decode.d8.loss_dice: 0.7673, loss: 17.1920, grad_norm: 72.5804 2023-11-22 10:35:11,037 - mmseg - INFO - Iter [81800/160000] lr: 4.655e-06, eta: 12:44:31, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2806, decode.loss_mask: 0.5202, decode.loss_dice: 0.7592, decode.d0.loss_cls: 1.4002, decode.d0.loss_mask: 0.5584, decode.d0.loss_dice: 0.8599, decode.d1.loss_cls: 0.3750, decode.d1.loss_mask: 0.5348, decode.d1.loss_dice: 0.7993, decode.d2.loss_cls: 0.3187, decode.d2.loss_mask: 0.5319, decode.d2.loss_dice: 0.7787, decode.d3.loss_cls: 0.2983, decode.d3.loss_mask: 0.5278, decode.d3.loss_dice: 0.7649, decode.d4.loss_cls: 0.2945, decode.d4.loss_mask: 0.5264, decode.d4.loss_dice: 0.7617, decode.d5.loss_cls: 0.2910, decode.d5.loss_mask: 0.5257, decode.d5.loss_dice: 0.7621, decode.d6.loss_cls: 0.2888, decode.d6.loss_mask: 0.5234, decode.d6.loss_dice: 0.7609, decode.d7.loss_cls: 0.2837, decode.d7.loss_mask: 0.5240, decode.d7.loss_dice: 0.7609, decode.d8.loss_cls: 0.2812, decode.d8.loss_mask: 0.5232, decode.d8.loss_dice: 0.7593, loss: 17.1747, grad_norm: 69.0126 2023-11-22 10:35:39,786 - mmseg - INFO - Iter [81850/160000] lr: 4.652e-06, eta: 12:44:01, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2773, decode.loss_mask: 0.5148, decode.loss_dice: 0.7836, decode.d0.loss_cls: 1.4159, decode.d0.loss_mask: 0.5470, decode.d0.loss_dice: 0.8820, decode.d1.loss_cls: 0.3737, decode.d1.loss_mask: 0.5312, decode.d1.loss_dice: 0.8288, decode.d2.loss_cls: 0.3189, decode.d2.loss_mask: 0.5197, decode.d2.loss_dice: 0.8041, decode.d3.loss_cls: 0.2959, decode.d3.loss_mask: 0.5172, decode.d3.loss_dice: 0.7927, decode.d4.loss_cls: 0.2839, decode.d4.loss_mask: 0.5173, decode.d4.loss_dice: 0.7925, decode.d5.loss_cls: 0.2824, decode.d5.loss_mask: 0.5165, decode.d5.loss_dice: 0.7872, decode.d6.loss_cls: 0.2823, decode.d6.loss_mask: 0.5152, decode.d6.loss_dice: 0.7803, decode.d7.loss_cls: 0.2796, decode.d7.loss_mask: 0.5147, decode.d7.loss_dice: 0.7831, decode.d8.loss_cls: 0.2716, decode.d8.loss_mask: 0.5143, decode.d8.loss_dice: 0.7864, loss: 17.3103, grad_norm: 69.4941 2023-11-22 10:36:08,339 - mmseg - INFO - Iter [81900/160000] lr: 4.649e-06, eta: 12:43:31, time: 0.573, data_time: 0.016, memory: 38143, decode.loss_cls: 0.2819, decode.loss_mask: 0.5094, decode.loss_dice: 0.7820, decode.d0.loss_cls: 1.4274, decode.d0.loss_mask: 0.5401, decode.d0.loss_dice: 0.8740, decode.d1.loss_cls: 0.3627, decode.d1.loss_mask: 0.5312, decode.d1.loss_dice: 0.8310, decode.d2.loss_cls: 0.3178, decode.d2.loss_mask: 0.5136, decode.d2.loss_dice: 0.8057, decode.d3.loss_cls: 0.2943, decode.d3.loss_mask: 0.5104, decode.d3.loss_dice: 0.7921, decode.d4.loss_cls: 0.2876, decode.d4.loss_mask: 0.5107, decode.d4.loss_dice: 0.7893, decode.d5.loss_cls: 0.2863, decode.d5.loss_mask: 0.5103, decode.d5.loss_dice: 0.7868, decode.d6.loss_cls: 0.2828, decode.d6.loss_mask: 0.5095, decode.d6.loss_dice: 0.7830, decode.d7.loss_cls: 0.2780, decode.d7.loss_mask: 0.5111, decode.d7.loss_dice: 0.7815, decode.d8.loss_cls: 0.2781, decode.d8.loss_mask: 0.5085, decode.d8.loss_dice: 0.7839, loss: 17.2609, grad_norm: 72.9953 2023-11-22 10:36:37,059 - mmseg - INFO - Iter [81950/160000] lr: 4.646e-06, eta: 12:43:01, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2658, decode.loss_mask: 0.5356, decode.loss_dice: 0.7581, decode.d0.loss_cls: 1.3842, decode.d0.loss_mask: 0.5642, decode.d0.loss_dice: 0.8522, decode.d1.loss_cls: 0.3667, decode.d1.loss_mask: 0.5479, decode.d1.loss_dice: 0.8040, decode.d2.loss_cls: 0.3168, decode.d2.loss_mask: 0.5389, decode.d2.loss_dice: 0.7768, decode.d3.loss_cls: 0.2871, decode.d3.loss_mask: 0.5352, decode.d3.loss_dice: 0.7691, decode.d4.loss_cls: 0.2805, decode.d4.loss_mask: 0.5350, decode.d4.loss_dice: 0.7647, decode.d5.loss_cls: 0.2769, decode.d5.loss_mask: 0.5356, decode.d5.loss_dice: 0.7609, decode.d6.loss_cls: 0.2723, decode.d6.loss_mask: 0.5343, decode.d6.loss_dice: 0.7567, decode.d7.loss_cls: 0.2692, decode.d7.loss_mask: 0.5336, decode.d7.loss_dice: 0.7575, decode.d8.loss_cls: 0.2684, decode.d8.loss_mask: 0.5347, decode.d8.loss_dice: 0.7563, loss: 17.1392, grad_norm: 69.1325 2023-11-22 10:37:05,520 - mmseg - INFO - Saving checkpoint at 82000 iterations 2023-11-22 10:37:13,513 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 10:37:13,513 - mmseg - INFO - Iter [82000/160000] lr: 4.643e-06, eta: 12:42:39, time: 0.729, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2792, decode.loss_mask: 0.4976, decode.loss_dice: 0.7419, decode.d0.loss_cls: 1.3771, decode.d0.loss_mask: 0.5346, decode.d0.loss_dice: 0.8259, decode.d1.loss_cls: 0.3764, decode.d1.loss_mask: 0.5176, decode.d1.loss_dice: 0.7806, decode.d2.loss_cls: 0.3222, decode.d2.loss_mask: 0.5067, decode.d2.loss_dice: 0.7640, decode.d3.loss_cls: 0.3029, decode.d3.loss_mask: 0.5016, decode.d3.loss_dice: 0.7446, decode.d4.loss_cls: 0.2980, decode.d4.loss_mask: 0.4987, decode.d4.loss_dice: 0.7424, decode.d5.loss_cls: 0.2899, decode.d5.loss_mask: 0.4991, decode.d5.loss_dice: 0.7457, decode.d6.loss_cls: 0.2834, decode.d6.loss_mask: 0.5011, decode.d6.loss_dice: 0.7404, decode.d7.loss_cls: 0.2842, decode.d7.loss_mask: 0.5010, decode.d7.loss_dice: 0.7385, decode.d8.loss_cls: 0.2850, decode.d8.loss_mask: 0.5002, decode.d8.loss_dice: 0.7397, loss: 16.7201, grad_norm: 68.7020 2023-11-22 10:37:33,074 - mmseg - INFO - per class results: 2023-11-22 10:37:33,079 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.35 | 87.59 | | building | 83.53 | 90.63 | | sky | 95.14 | 97.67 | | floor | 83.87 | 92.03 | | tree | 76.05 | 88.77 | | ceiling | 85.58 | 92.77 | | road | 86.84 | 92.16 | | bed | 92.1 | 96.04 | | windowpane | 63.97 | 81.54 | | grass | 69.5 | 85.86 | | cabinet | 63.25 | 77.72 | | sidewalk | 70.16 | 84.36 | | person | 86.66 | 93.54 | | earth | 38.7 | 51.76 | | door | 53.62 | 69.74 | | table | 68.68 | 82.44 | | mountain | 53.07 | 67.45 | | plant | 55.25 | 65.25 | | curtain | 75.84 | 87.36 | | chair | 68.05 | 82.78 | | car | 87.48 | 93.88 | | water | 55.7 | 72.26 | | painting | 72.75 | 90.56 | | sofa | 72.95 | 85.8 | | shelf | 48.6 | 66.58 | | house | 45.58 | 78.7 | | sea | 63.37 | 90.14 | | mirror | 73.53 | 83.02 | | rug | 66.69 | 77.66 | | field | 40.08 | 60.39 | | armchair | 51.75 | 66.46 | | seat | 64.85 | 81.67 | | fence | 47.5 | 65.8 | | desk | 57.66 | 78.33 | | rock | 38.23 | 50.67 | | wardrobe | 52.04 | 74.43 | | lamp | 73.02 | 86.16 | | bathtub | 80.28 | 86.44 | | railing | 39.88 | 58.77 | | cushion | 67.39 | 83.71 | | base | 36.8 | 57.54 | | box | 34.39 | 42.04 | | column | 54.91 | 69.69 | | signboard | 41.45 | 63.39 | | chest of drawers | 39.34 | 61.3 | | counter | 43.29 | 54.35 | | sand | 41.6 | 60.49 | | sink | 76.83 | 85.47 | | skyscraper | 47.04 | 60.86 | | fireplace | 76.76 | 92.7 | | refrigerator | 79.59 | 88.62 | | grandstand | 58.71 | 78.76 | | path | 20.57 | 31.79 | | stairs | 58.48 | 79.35 | | runway | 75.2 | 97.5 | | case | 61.63 | 88.55 | | pool table | 94.95 | 97.2 | | pillow | 61.58 | 72.83 | | screen door | 78.64 | 79.82 | | stairway | 38.8 | 47.15 | | river | 11.78 | 17.78 | | bridge | 79.94 | 91.73 | | bookcase | 30.13 | 47.56 | | blind | 40.57 | 46.58 | | coffee table | 72.13 | 86.59 | | toilet | 91.34 | 94.49 | | flower | 47.79 | 65.77 | | book | 52.94 | 74.93 | | hill | 7.35 | 11.21 | | bench | 65.41 | 74.79 | | countertop | 57.66 | 74.46 | | stove | 86.29 | 89.24 | | palm | 53.92 | 77.82 | | kitchen island | 41.8 | 87.76 | | computer | 77.88 | 90.06 | | swivel chair | 54.22 | 73.37 | | boat | 69.62 | 91.57 | | bar | 59.72 | 64.33 | | arcade machine | 27.76 | 29.24 | | hovel | 65.92 | 76.13 | | bus | 94.49 | 96.79 | | towel | 78.65 | 90.09 | | light | 65.41 | 80.44 | | truck | 45.28 | 52.6 | | tower | 29.31 | 48.81 | | chandelier | 72.22 | 81.78 | | awning | 39.06 | 56.82 | | streetlight | 44.64 | 66.63 | | booth | 58.05 | 72.22 | | television receiver | 80.08 | 89.23 | | airplane | 76.97 | 83.31 | | dirt track | 15.35 | 16.33 | | apparel | 54.01 | 66.71 | | pole | 32.15 | 49.79 | | land | 4.2 | 4.94 | | bannister | 21.04 | 33.63 | | escalator | 29.16 | 30.2 | | ottoman | 51.31 | 69.75 | | bottle | 30.67 | 45.34 | | buffet | 35.26 | 42.35 | | poster | 32.89 | 46.45 | | stage | 15.51 | 49.42 | | van | 41.3 | 64.21 | | ship | 9.3 | 13.86 | | fountain | 21.53 | 21.9 | | conveyer belt | 71.81 | 94.27 | | canopy | 27.7 | 64.98 | | washer | 71.06 | 73.15 | | plaything | 41.02 | 56.36 | | swimming pool | 68.82 | 71.46 | | stool | 49.93 | 68.3 | | barrel | 34.77 | 97.82 | | basket | 41.12 | 58.06 | | waterfall | 79.5 | 91.32 | | tent | 88.72 | 98.17 | | bag | 31.58 | 42.15 | | minibike | 73.61 | 89.32 | | cradle | 90.37 | 97.63 | | oven | 24.53 | 67.41 | | ball | 68.24 | 80.98 | | food | 38.94 | 41.35 | | step | 18.56 | 28.89 | | tank | 53.86 | 55.78 | | trade name | 18.37 | 21.39 | | microwave | 41.83 | 46.17 | | pot | 53.94 | 65.92 | | animal | 59.96 | 61.14 | | bicycle | 60.91 | 78.74 | | lake | 0.0 | 0.0 | | dishwasher | 80.75 | 89.32 | | screen | 55.34 | 88.9 | | blanket | 40.71 | 52.08 | | sculpture | 69.39 | 89.33 | | hood | 68.25 | 77.73 | | sconce | 61.8 | 77.46 | | vase | 57.22 | 75.78 | | traffic light | 46.64 | 71.01 | | tray | 22.67 | 33.18 | | ashcan | 53.28 | 73.11 | | fan | 71.49 | 83.03 | | pier | 15.24 | 16.25 | | crt screen | 1.63 | 4.67 | | plate | 64.75 | 84.53 | | monitor | 2.11 | 2.34 | | bulletin board | 59.27 | 79.18 | | shower | 8.0 | 26.46 | | radiator | 70.29 | 87.75 | | glass | 23.16 | 25.37 | | clock | 57.11 | 71.27 | | flag | 50.49 | 58.98 | +---------------------+-------+-------+ 2023-11-22 10:37:33,079 - mmseg - INFO - Summary: 2023-11-22 10:37:33,079 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.88 | 54.21 | 67.77 | +-------+-------+-------+ 2023-11-22 10:37:33,080 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 10:37:33,080 - mmseg - INFO - Iter(val) [250] aAcc: 0.8488, mIoU: 0.5421, mAcc: 0.6777, IoU.wall: 0.8035, IoU.building: 0.8353, IoU.sky: 0.9514, IoU.floor: 0.8387, IoU.tree: 0.7605, IoU.ceiling: 0.8558, IoU.road: 0.8684, IoU.bed : 0.9210, IoU.windowpane: 0.6397, IoU.grass: 0.6950, IoU.cabinet: 0.6325, IoU.sidewalk: 0.7016, IoU.person: 0.8666, IoU.earth: 0.3870, IoU.door: 0.5362, IoU.table: 0.6868, IoU.mountain: 0.5307, IoU.plant: 0.5525, IoU.curtain: 0.7584, IoU.chair: 0.6805, IoU.car: 0.8748, IoU.water: 0.5570, IoU.painting: 0.7275, IoU.sofa: 0.7295, IoU.shelf: 0.4860, IoU.house: 0.4558, IoU.sea: 0.6337, IoU.mirror: 0.7353, IoU.rug: 0.6669, IoU.field: 0.4008, IoU.armchair: 0.5175, IoU.seat: 0.6485, IoU.fence: 0.4750, IoU.desk: 0.5766, IoU.rock: 0.3823, IoU.wardrobe: 0.5204, IoU.lamp: 0.7302, IoU.bathtub: 0.8028, IoU.railing: 0.3988, IoU.cushion: 0.6739, IoU.base: 0.3680, IoU.box: 0.3439, IoU.column: 0.5491, IoU.signboard: 0.4145, IoU.chest of drawers: 0.3934, IoU.counter: 0.4329, IoU.sand: 0.4160, IoU.sink: 0.7683, IoU.skyscraper: 0.4704, IoU.fireplace: 0.7676, IoU.refrigerator: 0.7959, IoU.grandstand: 0.5871, IoU.path: 0.2057, IoU.stairs: 0.5848, IoU.runway: 0.7520, IoU.case: 0.6163, IoU.pool table: 0.9495, IoU.pillow: 0.6158, IoU.screen door: 0.7864, IoU.stairway: 0.3880, IoU.river: 0.1178, IoU.bridge: 0.7994, IoU.bookcase: 0.3013, IoU.blind: 0.4057, IoU.coffee table: 0.7213, IoU.toilet: 0.9134, IoU.flower: 0.4779, IoU.book: 0.5294, IoU.hill: 0.0735, IoU.bench: 0.6541, IoU.countertop: 0.5766, IoU.stove: 0.8629, IoU.palm: 0.5392, IoU.kitchen island: 0.4180, IoU.computer: 0.7788, IoU.swivel chair: 0.5422, IoU.boat: 0.6962, IoU.bar: 0.5972, IoU.arcade machine: 0.2776, IoU.hovel: 0.6592, IoU.bus: 0.9449, IoU.towel: 0.7865, IoU.light: 0.6541, IoU.truck: 0.4528, IoU.tower: 0.2931, IoU.chandelier: 0.7222, IoU.awning: 0.3906, IoU.streetlight: 0.4464, IoU.booth: 0.5805, IoU.television receiver: 0.8008, IoU.airplane: 0.7697, IoU.dirt track: 0.1535, IoU.apparel: 0.5401, IoU.pole: 0.3215, IoU.land: 0.0420, IoU.bannister: 0.2104, IoU.escalator: 0.2916, IoU.ottoman: 0.5131, IoU.bottle: 0.3067, IoU.buffet: 0.3526, IoU.poster: 0.3289, IoU.stage: 0.1551, IoU.van: 0.4130, IoU.ship: 0.0930, IoU.fountain: 0.2153, IoU.conveyer belt: 0.7181, IoU.canopy: 0.2770, IoU.washer: 0.7106, IoU.plaything: 0.4102, IoU.swimming pool: 0.6882, IoU.stool: 0.4993, IoU.barrel: 0.3477, IoU.basket: 0.4112, IoU.waterfall: 0.7950, IoU.tent: 0.8872, IoU.bag: 0.3158, IoU.minibike: 0.7361, IoU.cradle: 0.9037, IoU.oven: 0.2453, IoU.ball: 0.6824, IoU.food: 0.3894, IoU.step: 0.1856, IoU.tank: 0.5386, IoU.trade name: 0.1837, IoU.microwave: 0.4183, IoU.pot: 0.5394, IoU.animal: 0.5996, IoU.bicycle: 0.6091, IoU.lake: 0.0000, IoU.dishwasher: 0.8075, IoU.screen: 0.5534, IoU.blanket: 0.4071, IoU.sculpture: 0.6939, IoU.hood: 0.6825, IoU.sconce: 0.6180, IoU.vase: 0.5722, IoU.traffic light: 0.4664, IoU.tray: 0.2267, IoU.ashcan: 0.5328, IoU.fan: 0.7149, IoU.pier: 0.1524, IoU.crt screen: 0.0163, IoU.plate: 0.6475, IoU.monitor: 0.0211, IoU.bulletin board: 0.5927, IoU.shower: 0.0800, IoU.radiator: 0.7029, IoU.glass: 0.2316, IoU.clock: 0.5711, IoU.flag: 0.5049, Acc.wall: 0.8759, Acc.building: 0.9063, Acc.sky: 0.9767, Acc.floor: 0.9203, Acc.tree: 0.8877, Acc.ceiling: 0.9277, Acc.road: 0.9216, Acc.bed : 0.9604, Acc.windowpane: 0.8154, Acc.grass: 0.8586, Acc.cabinet: 0.7772, Acc.sidewalk: 0.8436, Acc.person: 0.9354, Acc.earth: 0.5176, Acc.door: 0.6974, Acc.table: 0.8244, Acc.mountain: 0.6745, Acc.plant: 0.6525, Acc.curtain: 0.8736, Acc.chair: 0.8278, Acc.car: 0.9388, Acc.water: 0.7226, Acc.painting: 0.9056, Acc.sofa: 0.8580, Acc.shelf: 0.6658, Acc.house: 0.7870, Acc.sea: 0.9014, Acc.mirror: 0.8302, Acc.rug: 0.7766, Acc.field: 0.6039, Acc.armchair: 0.6646, Acc.seat: 0.8167, Acc.fence: 0.6580, Acc.desk: 0.7833, Acc.rock: 0.5067, Acc.wardrobe: 0.7443, Acc.lamp: 0.8616, Acc.bathtub: 0.8644, Acc.railing: 0.5877, Acc.cushion: 0.8371, Acc.base: 0.5754, Acc.box: 0.4204, Acc.column: 0.6969, Acc.signboard: 0.6339, Acc.chest of drawers: 0.6130, Acc.counter: 0.5435, Acc.sand: 0.6049, Acc.sink: 0.8547, Acc.skyscraper: 0.6086, Acc.fireplace: 0.9270, Acc.refrigerator: 0.8862, Acc.grandstand: 0.7876, Acc.path: 0.3179, Acc.stairs: 0.7935, Acc.runway: 0.9750, Acc.case: 0.8855, Acc.pool table: 0.9720, Acc.pillow: 0.7283, Acc.screen door: 0.7982, Acc.stairway: 0.4715, Acc.river: 0.1778, Acc.bridge: 0.9173, Acc.bookcase: 0.4756, Acc.blind: 0.4658, Acc.coffee table: 0.8659, Acc.toilet: 0.9449, Acc.flower: 0.6577, Acc.book: 0.7493, Acc.hill: 0.1121, Acc.bench: 0.7479, Acc.countertop: 0.7446, Acc.stove: 0.8924, Acc.palm: 0.7782, Acc.kitchen island: 0.8776, Acc.computer: 0.9006, Acc.swivel chair: 0.7337, Acc.boat: 0.9157, Acc.bar: 0.6433, Acc.arcade machine: 0.2924, Acc.hovel: 0.7613, Acc.bus: 0.9679, Acc.towel: 0.9009, Acc.light: 0.8044, Acc.truck: 0.5260, Acc.tower: 0.4881, Acc.chandelier: 0.8178, Acc.awning: 0.5682, Acc.streetlight: 0.6663, Acc.booth: 0.7222, Acc.television receiver: 0.8923, Acc.airplane: 0.8331, Acc.dirt track: 0.1633, Acc.apparel: 0.6671, Acc.pole: 0.4979, Acc.land: 0.0494, Acc.bannister: 0.3363, Acc.escalator: 0.3020, Acc.ottoman: 0.6975, Acc.bottle: 0.4534, Acc.buffet: 0.4235, Acc.poster: 0.4645, Acc.stage: 0.4942, Acc.van: 0.6421, Acc.ship: 0.1386, Acc.fountain: 0.2190, Acc.conveyer belt: 0.9427, Acc.canopy: 0.6498, Acc.washer: 0.7315, Acc.plaything: 0.5636, Acc.swimming pool: 0.7146, Acc.stool: 0.6830, Acc.barrel: 0.9782, Acc.basket: 0.5806, Acc.waterfall: 0.9132, Acc.tent: 0.9817, Acc.bag: 0.4215, Acc.minibike: 0.8932, Acc.cradle: 0.9763, Acc.oven: 0.6741, Acc.ball: 0.8098, Acc.food: 0.4135, Acc.step: 0.2889, Acc.tank: 0.5578, Acc.trade name: 0.2139, Acc.microwave: 0.4617, Acc.pot: 0.6592, Acc.animal: 0.6114, Acc.bicycle: 0.7874, Acc.lake: 0.0000, Acc.dishwasher: 0.8932, Acc.screen: 0.8890, Acc.blanket: 0.5208, Acc.sculpture: 0.8933, Acc.hood: 0.7773, Acc.sconce: 0.7746, Acc.vase: 0.7578, Acc.traffic light: 0.7101, Acc.tray: 0.3318, Acc.ashcan: 0.7311, Acc.fan: 0.8303, Acc.pier: 0.1625, Acc.crt screen: 0.0467, Acc.plate: 0.8453, Acc.monitor: 0.0234, Acc.bulletin board: 0.7918, Acc.shower: 0.2646, Acc.radiator: 0.8775, Acc.glass: 0.2537, Acc.clock: 0.7127, Acc.flag: 0.5898 2023-11-22 10:38:01,429 - mmseg - INFO - Iter [82050/160000] lr: 4.640e-06, eta: 12:42:27, time: 0.958, data_time: 0.404, memory: 38143, decode.loss_cls: 0.2605, decode.loss_mask: 0.5139, decode.loss_dice: 0.7406, decode.d0.loss_cls: 1.3881, decode.d0.loss_mask: 0.5532, decode.d0.loss_dice: 0.8304, decode.d1.loss_cls: 0.3518, decode.d1.loss_mask: 0.5323, decode.d1.loss_dice: 0.7907, decode.d2.loss_cls: 0.2902, decode.d2.loss_mask: 0.5246, decode.d2.loss_dice: 0.7709, decode.d3.loss_cls: 0.2752, decode.d3.loss_mask: 0.5189, decode.d3.loss_dice: 0.7527, decode.d4.loss_cls: 0.2705, decode.d4.loss_mask: 0.5165, decode.d4.loss_dice: 0.7527, decode.d5.loss_cls: 0.2637, decode.d5.loss_mask: 0.5152, decode.d5.loss_dice: 0.7521, decode.d6.loss_cls: 0.2617, decode.d6.loss_mask: 0.5122, decode.d6.loss_dice: 0.7415, decode.d7.loss_cls: 0.2582, decode.d7.loss_mask: 0.5132, decode.d7.loss_dice: 0.7458, decode.d8.loss_cls: 0.2547, decode.d8.loss_mask: 0.5136, decode.d8.loss_dice: 0.7496, loss: 16.7155, grad_norm: 68.8673 2023-11-22 10:38:32,226 - mmseg - INFO - Iter [82100/160000] lr: 4.637e-06, eta: 12:41:59, time: 0.616, data_time: 0.062, memory: 38143, decode.loss_cls: 0.2655, decode.loss_mask: 0.5100, decode.loss_dice: 0.7683, decode.d0.loss_cls: 1.4099, decode.d0.loss_mask: 0.5468, decode.d0.loss_dice: 0.8552, decode.d1.loss_cls: 0.3407, decode.d1.loss_mask: 0.5339, decode.d1.loss_dice: 0.8178, decode.d2.loss_cls: 0.3019, decode.d2.loss_mask: 0.5229, decode.d2.loss_dice: 0.7905, decode.d3.loss_cls: 0.2869, decode.d3.loss_mask: 0.5160, decode.d3.loss_dice: 0.7746, decode.d4.loss_cls: 0.2794, decode.d4.loss_mask: 0.5150, decode.d4.loss_dice: 0.7778, decode.d5.loss_cls: 0.2742, decode.d5.loss_mask: 0.5133, decode.d5.loss_dice: 0.7749, decode.d6.loss_cls: 0.2749, decode.d6.loss_mask: 0.5110, decode.d6.loss_dice: 0.7678, decode.d7.loss_cls: 0.2633, decode.d7.loss_mask: 0.5107, decode.d7.loss_dice: 0.7690, decode.d8.loss_cls: 0.2680, decode.d8.loss_mask: 0.5091, decode.d8.loss_dice: 0.7684, loss: 17.0178, grad_norm: 74.4314 2023-11-22 10:39:00,739 - mmseg - INFO - Iter [82150/160000] lr: 4.634e-06, eta: 12:41:29, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2491, decode.loss_mask: 0.5068, decode.loss_dice: 0.7420, decode.d0.loss_cls: 1.3685, decode.d0.loss_mask: 0.5346, decode.d0.loss_dice: 0.8286, decode.d1.loss_cls: 0.3399, decode.d1.loss_mask: 0.5261, decode.d1.loss_dice: 0.7895, decode.d2.loss_cls: 0.2904, decode.d2.loss_mask: 0.5125, decode.d2.loss_dice: 0.7634, decode.d3.loss_cls: 0.2691, decode.d3.loss_mask: 0.5066, decode.d3.loss_dice: 0.7437, decode.d4.loss_cls: 0.2600, decode.d4.loss_mask: 0.5073, decode.d4.loss_dice: 0.7477, decode.d5.loss_cls: 0.2544, decode.d5.loss_mask: 0.5075, decode.d5.loss_dice: 0.7445, decode.d6.loss_cls: 0.2566, decode.d6.loss_mask: 0.5070, decode.d6.loss_dice: 0.7390, decode.d7.loss_cls: 0.2480, decode.d7.loss_mask: 0.5074, decode.d7.loss_dice: 0.7398, decode.d8.loss_cls: 0.2487, decode.d8.loss_mask: 0.5061, decode.d8.loss_dice: 0.7398, loss: 16.4845, grad_norm: 71.3769 2023-11-22 10:39:29,548 - mmseg - INFO - Iter [82200/160000] lr: 4.632e-06, eta: 12:40:59, time: 0.575, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2692, decode.loss_mask: 0.4952, decode.loss_dice: 0.7432, decode.d0.loss_cls: 1.3485, decode.d0.loss_mask: 0.5346, decode.d0.loss_dice: 0.8445, decode.d1.loss_cls: 0.3592, decode.d1.loss_mask: 0.5181, decode.d1.loss_dice: 0.7928, decode.d2.loss_cls: 0.3094, decode.d2.loss_mask: 0.5068, decode.d2.loss_dice: 0.7603, decode.d3.loss_cls: 0.2896, decode.d3.loss_mask: 0.5013, decode.d3.loss_dice: 0.7431, decode.d4.loss_cls: 0.2778, decode.d4.loss_mask: 0.4999, decode.d4.loss_dice: 0.7490, decode.d5.loss_cls: 0.2715, decode.d5.loss_mask: 0.4987, decode.d5.loss_dice: 0.7474, decode.d6.loss_cls: 0.2748, decode.d6.loss_mask: 0.4977, decode.d6.loss_dice: 0.7439, decode.d7.loss_cls: 0.2741, decode.d7.loss_mask: 0.4954, decode.d7.loss_dice: 0.7435, decode.d8.loss_cls: 0.2707, decode.d8.loss_mask: 0.4961, decode.d8.loss_dice: 0.7432, loss: 16.5994, grad_norm: 70.8840 2023-11-22 10:39:57,954 - mmseg - INFO - Iter [82250/160000] lr: 4.629e-06, eta: 12:40:29, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2475, decode.loss_mask: 0.5040, decode.loss_dice: 0.7435, decode.d0.loss_cls: 1.3265, decode.d0.loss_mask: 0.5329, decode.d0.loss_dice: 0.8319, decode.d1.loss_cls: 0.3255, decode.d1.loss_mask: 0.5225, decode.d1.loss_dice: 0.7954, decode.d2.loss_cls: 0.2816, decode.d2.loss_mask: 0.5140, decode.d2.loss_dice: 0.7657, decode.d3.loss_cls: 0.2641, decode.d3.loss_mask: 0.5082, decode.d3.loss_dice: 0.7487, decode.d4.loss_cls: 0.2557, decode.d4.loss_mask: 0.5051, decode.d4.loss_dice: 0.7475, decode.d5.loss_cls: 0.2549, decode.d5.loss_mask: 0.5033, decode.d5.loss_dice: 0.7490, decode.d6.loss_cls: 0.2484, decode.d6.loss_mask: 0.5031, decode.d6.loss_dice: 0.7434, decode.d7.loss_cls: 0.2447, decode.d7.loss_mask: 0.5037, decode.d7.loss_dice: 0.7420, decode.d8.loss_cls: 0.2483, decode.d8.loss_mask: 0.5027, decode.d8.loss_dice: 0.7357, loss: 16.3992, grad_norm: 70.4143 2023-11-22 10:40:26,345 - mmseg - INFO - Iter [82300/160000] lr: 4.626e-06, eta: 12:39:59, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2749, decode.loss_mask: 0.5017, decode.loss_dice: 0.7656, decode.d0.loss_cls: 1.4269, decode.d0.loss_mask: 0.5345, decode.d0.loss_dice: 0.8602, decode.d1.loss_cls: 0.3643, decode.d1.loss_mask: 0.5231, decode.d1.loss_dice: 0.8084, decode.d2.loss_cls: 0.3103, decode.d2.loss_mask: 0.5084, decode.d2.loss_dice: 0.7848, decode.d3.loss_cls: 0.2878, decode.d3.loss_mask: 0.5051, decode.d3.loss_dice: 0.7720, decode.d4.loss_cls: 0.2770, decode.d4.loss_mask: 0.5036, decode.d4.loss_dice: 0.7742, decode.d5.loss_cls: 0.2729, decode.d5.loss_mask: 0.5030, decode.d5.loss_dice: 0.7724, decode.d6.loss_cls: 0.2755, decode.d6.loss_mask: 0.4994, decode.d6.loss_dice: 0.7664, decode.d7.loss_cls: 0.2738, decode.d7.loss_mask: 0.5013, decode.d7.loss_dice: 0.7658, decode.d8.loss_cls: 0.2747, decode.d8.loss_mask: 0.5018, decode.d8.loss_dice: 0.7644, loss: 16.9543, grad_norm: 70.0250 2023-11-22 10:40:54,743 - mmseg - INFO - Iter [82350/160000] lr: 4.623e-06, eta: 12:39:28, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2499, decode.loss_mask: 0.4934, decode.loss_dice: 0.7346, decode.d0.loss_cls: 1.4070, decode.d0.loss_mask: 0.5253, decode.d0.loss_dice: 0.8261, decode.d1.loss_cls: 0.3396, decode.d1.loss_mask: 0.5122, decode.d1.loss_dice: 0.7811, decode.d2.loss_cls: 0.2907, decode.d2.loss_mask: 0.4979, decode.d2.loss_dice: 0.7555, decode.d3.loss_cls: 0.2719, decode.d3.loss_mask: 0.4937, decode.d3.loss_dice: 0.7434, decode.d4.loss_cls: 0.2670, decode.d4.loss_mask: 0.4930, decode.d4.loss_dice: 0.7384, decode.d5.loss_cls: 0.2627, decode.d5.loss_mask: 0.4918, decode.d5.loss_dice: 0.7445, decode.d6.loss_cls: 0.2668, decode.d6.loss_mask: 0.4903, decode.d6.loss_dice: 0.7359, decode.d7.loss_cls: 0.2586, decode.d7.loss_mask: 0.4914, decode.d7.loss_dice: 0.7373, decode.d8.loss_cls: 0.2543, decode.d8.loss_mask: 0.4903, decode.d8.loss_dice: 0.7357, loss: 16.3804, grad_norm: 69.1305 2023-11-22 10:41:23,195 - mmseg - INFO - Iter [82400/160000] lr: 4.620e-06, eta: 12:38:58, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2632, decode.loss_mask: 0.5051, decode.loss_dice: 0.7473, decode.d0.loss_cls: 1.3671, decode.d0.loss_mask: 0.5365, decode.d0.loss_dice: 0.8417, decode.d1.loss_cls: 0.3524, decode.d1.loss_mask: 0.5267, decode.d1.loss_dice: 0.7919, decode.d2.loss_cls: 0.3004, decode.d2.loss_mask: 0.5134, decode.d2.loss_dice: 0.7645, decode.d3.loss_cls: 0.2787, decode.d3.loss_mask: 0.5120, decode.d3.loss_dice: 0.7551, decode.d4.loss_cls: 0.2773, decode.d4.loss_mask: 0.5103, decode.d4.loss_dice: 0.7510, decode.d5.loss_cls: 0.2699, decode.d5.loss_mask: 0.5085, decode.d5.loss_dice: 0.7474, decode.d6.loss_cls: 0.2639, decode.d6.loss_mask: 0.5076, decode.d6.loss_dice: 0.7442, decode.d7.loss_cls: 0.2583, decode.d7.loss_mask: 0.5081, decode.d7.loss_dice: 0.7483, decode.d8.loss_cls: 0.2611, decode.d8.loss_mask: 0.5061, decode.d8.loss_dice: 0.7482, loss: 16.6661, grad_norm: 69.8665 2023-11-22 10:41:51,652 - mmseg - INFO - Iter [82450/160000] lr: 4.617e-06, eta: 12:38:28, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2561, decode.loss_mask: 0.5051, decode.loss_dice: 0.7442, decode.d0.loss_cls: 1.3531, decode.d0.loss_mask: 0.5347, decode.d0.loss_dice: 0.8282, decode.d1.loss_cls: 0.3459, decode.d1.loss_mask: 0.5188, decode.d1.loss_dice: 0.7834, decode.d2.loss_cls: 0.2920, decode.d2.loss_mask: 0.5115, decode.d2.loss_dice: 0.7693, decode.d3.loss_cls: 0.2749, decode.d3.loss_mask: 0.5068, decode.d3.loss_dice: 0.7504, decode.d4.loss_cls: 0.2668, decode.d4.loss_mask: 0.5059, decode.d4.loss_dice: 0.7532, decode.d5.loss_cls: 0.2623, decode.d5.loss_mask: 0.5050, decode.d5.loss_dice: 0.7450, decode.d6.loss_cls: 0.2623, decode.d6.loss_mask: 0.5037, decode.d6.loss_dice: 0.7455, decode.d7.loss_cls: 0.2632, decode.d7.loss_mask: 0.5029, decode.d7.loss_dice: 0.7432, decode.d8.loss_cls: 0.2586, decode.d8.loss_mask: 0.5038, decode.d8.loss_dice: 0.7448, loss: 16.5403, grad_norm: 70.5728 2023-11-22 10:42:20,355 - mmseg - INFO - Iter [82500/160000] lr: 4.614e-06, eta: 12:37:58, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2524, decode.loss_mask: 0.5003, decode.loss_dice: 0.7357, decode.d0.loss_cls: 1.3760, decode.d0.loss_mask: 0.5353, decode.d0.loss_dice: 0.8257, decode.d1.loss_cls: 0.3438, decode.d1.loss_mask: 0.5168, decode.d1.loss_dice: 0.7761, decode.d2.loss_cls: 0.2896, decode.d2.loss_mask: 0.5075, decode.d2.loss_dice: 0.7565, decode.d3.loss_cls: 0.2728, decode.d3.loss_mask: 0.5041, decode.d3.loss_dice: 0.7435, decode.d4.loss_cls: 0.2664, decode.d4.loss_mask: 0.5036, decode.d4.loss_dice: 0.7411, decode.d5.loss_cls: 0.2618, decode.d5.loss_mask: 0.5013, decode.d5.loss_dice: 0.7383, decode.d6.loss_cls: 0.2597, decode.d6.loss_mask: 0.5000, decode.d6.loss_dice: 0.7375, decode.d7.loss_cls: 0.2550, decode.d7.loss_mask: 0.4994, decode.d7.loss_dice: 0.7353, decode.d8.loss_cls: 0.2528, decode.d8.loss_mask: 0.5002, decode.d8.loss_dice: 0.7347, loss: 16.4232, grad_norm: 74.7491 2023-11-22 10:42:48,873 - mmseg - INFO - Iter [82550/160000] lr: 4.611e-06, eta: 12:37:28, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2611, decode.loss_mask: 0.5118, decode.loss_dice: 0.7532, decode.d0.loss_cls: 1.3713, decode.d0.loss_mask: 0.5504, decode.d0.loss_dice: 0.8445, decode.d1.loss_cls: 0.3461, decode.d1.loss_mask: 0.5322, decode.d1.loss_dice: 0.8034, decode.d2.loss_cls: 0.2981, decode.d2.loss_mask: 0.5222, decode.d2.loss_dice: 0.7757, decode.d3.loss_cls: 0.2822, decode.d3.loss_mask: 0.5166, decode.d3.loss_dice: 0.7648, decode.d4.loss_cls: 0.2718, decode.d4.loss_mask: 0.5154, decode.d4.loss_dice: 0.7604, decode.d5.loss_cls: 0.2708, decode.d5.loss_mask: 0.5144, decode.d5.loss_dice: 0.7562, decode.d6.loss_cls: 0.2664, decode.d6.loss_mask: 0.5132, decode.d6.loss_dice: 0.7516, decode.d7.loss_cls: 0.2613, decode.d7.loss_mask: 0.5115, decode.d7.loss_dice: 0.7512, decode.d8.loss_cls: 0.2597, decode.d8.loss_mask: 0.5135, decode.d8.loss_dice: 0.7552, loss: 16.8063, grad_norm: 74.7655 2023-11-22 10:43:17,270 - mmseg - INFO - Iter [82600/160000] lr: 4.608e-06, eta: 12:36:58, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2662, decode.loss_mask: 0.5084, decode.loss_dice: 0.7272, decode.d0.loss_cls: 1.3513, decode.d0.loss_mask: 0.5451, decode.d0.loss_dice: 0.8366, decode.d1.loss_cls: 0.3566, decode.d1.loss_mask: 0.5285, decode.d1.loss_dice: 0.7732, decode.d2.loss_cls: 0.3042, decode.d2.loss_mask: 0.5171, decode.d2.loss_dice: 0.7464, decode.d3.loss_cls: 0.2838, decode.d3.loss_mask: 0.5126, decode.d3.loss_dice: 0.7374, decode.d4.loss_cls: 0.2756, decode.d4.loss_mask: 0.5109, decode.d4.loss_dice: 0.7360, decode.d5.loss_cls: 0.2739, decode.d5.loss_mask: 0.5110, decode.d5.loss_dice: 0.7305, decode.d6.loss_cls: 0.2639, decode.d6.loss_mask: 0.5108, decode.d6.loss_dice: 0.7275, decode.d7.loss_cls: 0.2665, decode.d7.loss_mask: 0.5094, decode.d7.loss_dice: 0.7303, decode.d8.loss_cls: 0.2617, decode.d8.loss_mask: 0.5092, decode.d8.loss_dice: 0.7291, loss: 16.5407, grad_norm: 75.1064 2023-11-22 10:43:45,708 - mmseg - INFO - Iter [82650/160000] lr: 4.605e-06, eta: 12:36:27, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2755, decode.loss_mask: 0.4846, decode.loss_dice: 0.7443, decode.d0.loss_cls: 1.3758, decode.d0.loss_mask: 0.5191, decode.d0.loss_dice: 0.8389, decode.d1.loss_cls: 0.3680, decode.d1.loss_mask: 0.5005, decode.d1.loss_dice: 0.7919, decode.d2.loss_cls: 0.3186, decode.d2.loss_mask: 0.4943, decode.d2.loss_dice: 0.7623, decode.d3.loss_cls: 0.2976, decode.d3.loss_mask: 0.4885, decode.d3.loss_dice: 0.7489, decode.d4.loss_cls: 0.2918, decode.d4.loss_mask: 0.4872, decode.d4.loss_dice: 0.7518, decode.d5.loss_cls: 0.2836, decode.d5.loss_mask: 0.4875, decode.d5.loss_dice: 0.7500, decode.d6.loss_cls: 0.2792, decode.d6.loss_mask: 0.4833, decode.d6.loss_dice: 0.7478, decode.d7.loss_cls: 0.2764, decode.d7.loss_mask: 0.4856, decode.d7.loss_dice: 0.7489, decode.d8.loss_cls: 0.2743, decode.d8.loss_mask: 0.4858, decode.d8.loss_dice: 0.7495, loss: 16.5914, grad_norm: 67.6685 2023-11-22 10:44:14,087 - mmseg - INFO - Iter [82700/160000] lr: 4.602e-06, eta: 12:35:57, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2731, decode.loss_mask: 0.5073, decode.loss_dice: 0.7632, decode.d0.loss_cls: 1.4134, decode.d0.loss_mask: 0.5457, decode.d0.loss_dice: 0.8554, decode.d1.loss_cls: 0.3721, decode.d1.loss_mask: 0.5303, decode.d1.loss_dice: 0.8081, decode.d2.loss_cls: 0.3095, decode.d2.loss_mask: 0.5148, decode.d2.loss_dice: 0.7857, decode.d3.loss_cls: 0.2865, decode.d3.loss_mask: 0.5144, decode.d3.loss_dice: 0.7744, decode.d4.loss_cls: 0.2791, decode.d4.loss_mask: 0.5138, decode.d4.loss_dice: 0.7732, decode.d5.loss_cls: 0.2746, decode.d5.loss_mask: 0.5128, decode.d5.loss_dice: 0.7721, decode.d6.loss_cls: 0.2760, decode.d6.loss_mask: 0.5091, decode.d6.loss_dice: 0.7668, decode.d7.loss_cls: 0.2735, decode.d7.loss_mask: 0.5094, decode.d7.loss_dice: 0.7621, decode.d8.loss_cls: 0.2686, decode.d8.loss_mask: 0.5109, decode.d8.loss_dice: 0.7666, loss: 17.0224, grad_norm: 75.6995 2023-11-22 10:44:42,624 - mmseg - INFO - Iter [82750/160000] lr: 4.599e-06, eta: 12:35:27, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2566, decode.loss_mask: 0.5079, decode.loss_dice: 0.7801, decode.d0.loss_cls: 1.3915, decode.d0.loss_mask: 0.5503, decode.d0.loss_dice: 0.8740, decode.d1.loss_cls: 0.3472, decode.d1.loss_mask: 0.5313, decode.d1.loss_dice: 0.8254, decode.d2.loss_cls: 0.2948, decode.d2.loss_mask: 0.5171, decode.d2.loss_dice: 0.7997, decode.d3.loss_cls: 0.2781, decode.d3.loss_mask: 0.5133, decode.d3.loss_dice: 0.7851, decode.d4.loss_cls: 0.2685, decode.d4.loss_mask: 0.5115, decode.d4.loss_dice: 0.7841, decode.d5.loss_cls: 0.2685, decode.d5.loss_mask: 0.5098, decode.d5.loss_dice: 0.7780, decode.d6.loss_cls: 0.2699, decode.d6.loss_mask: 0.5090, decode.d6.loss_dice: 0.7823, decode.d7.loss_cls: 0.2610, decode.d7.loss_mask: 0.5096, decode.d7.loss_dice: 0.7836, decode.d8.loss_cls: 0.2579, decode.d8.loss_mask: 0.5095, decode.d8.loss_dice: 0.7783, loss: 17.0339, grad_norm: 70.2938 2023-11-22 10:45:11,401 - mmseg - INFO - Iter [82800/160000] lr: 4.596e-06, eta: 12:34:57, time: 0.576, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2854, decode.loss_mask: 0.4937, decode.loss_dice: 0.7567, decode.d0.loss_cls: 1.4271, decode.d0.loss_mask: 0.5349, decode.d0.loss_dice: 0.8561, decode.d1.loss_cls: 0.3738, decode.d1.loss_mask: 0.5150, decode.d1.loss_dice: 0.8114, decode.d2.loss_cls: 0.3169, decode.d2.loss_mask: 0.5039, decode.d2.loss_dice: 0.7890, decode.d3.loss_cls: 0.2995, decode.d3.loss_mask: 0.4988, decode.d3.loss_dice: 0.7686, decode.d4.loss_cls: 0.2940, decode.d4.loss_mask: 0.4981, decode.d4.loss_dice: 0.7673, decode.d5.loss_cls: 0.2908, decode.d5.loss_mask: 0.4961, decode.d5.loss_dice: 0.7622, decode.d6.loss_cls: 0.2845, decode.d6.loss_mask: 0.4956, decode.d6.loss_dice: 0.7620, decode.d7.loss_cls: 0.2806, decode.d7.loss_mask: 0.4960, decode.d7.loss_dice: 0.7589, decode.d8.loss_cls: 0.2820, decode.d8.loss_mask: 0.4941, decode.d8.loss_dice: 0.7614, loss: 16.9544, grad_norm: 68.2877 2023-11-22 10:45:39,906 - mmseg - INFO - Iter [82850/160000] lr: 4.593e-06, eta: 12:34:27, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2758, decode.loss_mask: 0.5145, decode.loss_dice: 0.7628, decode.d0.loss_cls: 1.3988, decode.d0.loss_mask: 0.5542, decode.d0.loss_dice: 0.8716, decode.d1.loss_cls: 0.3588, decode.d1.loss_mask: 0.5434, decode.d1.loss_dice: 0.8091, decode.d2.loss_cls: 0.3137, decode.d2.loss_mask: 0.5290, decode.d2.loss_dice: 0.7894, decode.d3.loss_cls: 0.2950, decode.d3.loss_mask: 0.5191, decode.d3.loss_dice: 0.7726, decode.d4.loss_cls: 0.2904, decode.d4.loss_mask: 0.5203, decode.d4.loss_dice: 0.7741, decode.d5.loss_cls: 0.2850, decode.d5.loss_mask: 0.5183, decode.d5.loss_dice: 0.7729, decode.d6.loss_cls: 0.2803, decode.d6.loss_mask: 0.5153, decode.d6.loss_dice: 0.7662, decode.d7.loss_cls: 0.2763, decode.d7.loss_mask: 0.5167, decode.d7.loss_dice: 0.7686, decode.d8.loss_cls: 0.2780, decode.d8.loss_mask: 0.5151, decode.d8.loss_dice: 0.7676, loss: 17.1528, grad_norm: 82.1440 2023-11-22 10:46:08,141 - mmseg - INFO - Iter [82900/160000] lr: 4.590e-06, eta: 12:33:57, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2596, decode.loss_mask: 0.5033, decode.loss_dice: 0.7533, decode.d0.loss_cls: 1.3860, decode.d0.loss_mask: 0.5382, decode.d0.loss_dice: 0.8402, decode.d1.loss_cls: 0.3651, decode.d1.loss_mask: 0.5220, decode.d1.loss_dice: 0.7963, decode.d2.loss_cls: 0.3023, decode.d2.loss_mask: 0.5115, decode.d2.loss_dice: 0.7686, decode.d3.loss_cls: 0.2852, decode.d3.loss_mask: 0.5080, decode.d3.loss_dice: 0.7600, decode.d4.loss_cls: 0.2756, decode.d4.loss_mask: 0.5078, decode.d4.loss_dice: 0.7587, decode.d5.loss_cls: 0.2709, decode.d5.loss_mask: 0.5059, decode.d5.loss_dice: 0.7610, decode.d6.loss_cls: 0.2641, decode.d6.loss_mask: 0.5032, decode.d6.loss_dice: 0.7534, decode.d7.loss_cls: 0.2608, decode.d7.loss_mask: 0.5055, decode.d7.loss_dice: 0.7510, decode.d8.loss_cls: 0.2598, decode.d8.loss_mask: 0.5055, decode.d8.loss_dice: 0.7558, loss: 16.7385, grad_norm: 72.1450 2023-11-22 10:46:36,480 - mmseg - INFO - Iter [82950/160000] lr: 4.587e-06, eta: 12:33:27, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2666, decode.loss_mask: 0.5016, decode.loss_dice: 0.7508, decode.d0.loss_cls: 1.3843, decode.d0.loss_mask: 0.5442, decode.d0.loss_dice: 0.8475, decode.d1.loss_cls: 0.3541, decode.d1.loss_mask: 0.5251, decode.d1.loss_dice: 0.7986, decode.d2.loss_cls: 0.3073, decode.d2.loss_mask: 0.5116, decode.d2.loss_dice: 0.7813, decode.d3.loss_cls: 0.2847, decode.d3.loss_mask: 0.5073, decode.d3.loss_dice: 0.7648, decode.d4.loss_cls: 0.2742, decode.d4.loss_mask: 0.5070, decode.d4.loss_dice: 0.7608, decode.d5.loss_cls: 0.2749, decode.d5.loss_mask: 0.5056, decode.d5.loss_dice: 0.7588, decode.d6.loss_cls: 0.2734, decode.d6.loss_mask: 0.5025, decode.d6.loss_dice: 0.7532, decode.d7.loss_cls: 0.2702, decode.d7.loss_mask: 0.5015, decode.d7.loss_dice: 0.7523, decode.d8.loss_cls: 0.2708, decode.d8.loss_mask: 0.5024, decode.d8.loss_dice: 0.7530, loss: 16.7906, grad_norm: 68.7564 2023-11-22 10:47:04,747 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 10:47:04,747 - mmseg - INFO - Iter [83000/160000] lr: 4.584e-06, eta: 12:32:56, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2801, decode.loss_mask: 0.4921, decode.loss_dice: 0.7450, decode.d0.loss_cls: 1.4009, decode.d0.loss_mask: 0.5273, decode.d0.loss_dice: 0.8465, decode.d1.loss_cls: 0.3655, decode.d1.loss_mask: 0.5148, decode.d1.loss_dice: 0.7899, decode.d2.loss_cls: 0.3116, decode.d2.loss_mask: 0.5022, decode.d2.loss_dice: 0.7709, decode.d3.loss_cls: 0.2940, decode.d3.loss_mask: 0.4974, decode.d3.loss_dice: 0.7521, decode.d4.loss_cls: 0.2862, decode.d4.loss_mask: 0.4963, decode.d4.loss_dice: 0.7502, decode.d5.loss_cls: 0.2844, decode.d5.loss_mask: 0.4958, decode.d5.loss_dice: 0.7456, decode.d6.loss_cls: 0.2836, decode.d6.loss_mask: 0.4933, decode.d6.loss_dice: 0.7427, decode.d7.loss_cls: 0.2788, decode.d7.loss_mask: 0.4931, decode.d7.loss_dice: 0.7463, decode.d8.loss_cls: 0.2764, decode.d8.loss_mask: 0.4920, decode.d8.loss_dice: 0.7469, loss: 16.7018, grad_norm: 67.2304 2023-11-22 10:47:33,130 - mmseg - INFO - Iter [83050/160000] lr: 4.581e-06, eta: 12:32:26, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2692, decode.loss_mask: 0.5058, decode.loss_dice: 0.7715, decode.d0.loss_cls: 1.4039, decode.d0.loss_mask: 0.5392, decode.d0.loss_dice: 0.8703, decode.d1.loss_cls: 0.3610, decode.d1.loss_mask: 0.5226, decode.d1.loss_dice: 0.8193, decode.d2.loss_cls: 0.3092, decode.d2.loss_mask: 0.5156, decode.d2.loss_dice: 0.7961, decode.d3.loss_cls: 0.2885, decode.d3.loss_mask: 0.5093, decode.d3.loss_dice: 0.7801, decode.d4.loss_cls: 0.2860, decode.d4.loss_mask: 0.5078, decode.d4.loss_dice: 0.7770, decode.d5.loss_cls: 0.2833, decode.d5.loss_mask: 0.5062, decode.d5.loss_dice: 0.7772, decode.d6.loss_cls: 0.2789, decode.d6.loss_mask: 0.5056, decode.d6.loss_dice: 0.7694, decode.d7.loss_cls: 0.2773, decode.d7.loss_mask: 0.5046, decode.d7.loss_dice: 0.7716, decode.d8.loss_cls: 0.2722, decode.d8.loss_mask: 0.5049, decode.d8.loss_dice: 0.7724, loss: 17.0559, grad_norm: 73.0952 2023-11-22 10:48:01,809 - mmseg - INFO - Iter [83100/160000] lr: 4.578e-06, eta: 12:31:56, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2717, decode.loss_mask: 0.5139, decode.loss_dice: 0.7264, decode.d0.loss_cls: 1.3457, decode.d0.loss_mask: 0.5502, decode.d0.loss_dice: 0.8155, decode.d1.loss_cls: 0.3522, decode.d1.loss_mask: 0.5326, decode.d1.loss_dice: 0.7656, decode.d2.loss_cls: 0.3004, decode.d2.loss_mask: 0.5207, decode.d2.loss_dice: 0.7476, decode.d3.loss_cls: 0.2873, decode.d3.loss_mask: 0.5162, decode.d3.loss_dice: 0.7317, decode.d4.loss_cls: 0.2772, decode.d4.loss_mask: 0.5157, decode.d4.loss_dice: 0.7321, decode.d5.loss_cls: 0.2755, decode.d5.loss_mask: 0.5172, decode.d5.loss_dice: 0.7281, decode.d6.loss_cls: 0.2723, decode.d6.loss_mask: 0.5139, decode.d6.loss_dice: 0.7234, decode.d7.loss_cls: 0.2687, decode.d7.loss_mask: 0.5137, decode.d7.loss_dice: 0.7219, decode.d8.loss_cls: 0.2662, decode.d8.loss_mask: 0.5149, decode.d8.loss_dice: 0.7298, loss: 16.5485, grad_norm: 68.6563 2023-11-22 10:48:30,222 - mmseg - INFO - Iter [83150/160000] lr: 4.575e-06, eta: 12:31:26, time: 0.568, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2727, decode.loss_mask: 0.5228, decode.loss_dice: 0.7749, decode.d0.loss_cls: 1.3689, decode.d0.loss_mask: 0.5677, decode.d0.loss_dice: 0.8910, decode.d1.loss_cls: 0.3589, decode.d1.loss_mask: 0.5491, decode.d1.loss_dice: 0.8330, decode.d2.loss_cls: 0.3076, decode.d2.loss_mask: 0.5341, decode.d2.loss_dice: 0.8019, decode.d3.loss_cls: 0.2918, decode.d3.loss_mask: 0.5242, decode.d3.loss_dice: 0.7854, decode.d4.loss_cls: 0.2845, decode.d4.loss_mask: 0.5254, decode.d4.loss_dice: 0.7896, decode.d5.loss_cls: 0.2776, decode.d5.loss_mask: 0.5229, decode.d5.loss_dice: 0.7868, decode.d6.loss_cls: 0.2795, decode.d6.loss_mask: 0.5240, decode.d6.loss_dice: 0.7762, decode.d7.loss_cls: 0.2742, decode.d7.loss_mask: 0.5262, decode.d7.loss_dice: 0.7805, decode.d8.loss_cls: 0.2668, decode.d8.loss_mask: 0.5248, decode.d8.loss_dice: 0.7767, loss: 17.2997, grad_norm: 74.0769 2023-11-22 10:48:58,536 - mmseg - INFO - Iter [83200/160000] lr: 4.572e-06, eta: 12:30:56, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2722, decode.loss_mask: 0.4970, decode.loss_dice: 0.7620, decode.d0.loss_cls: 1.3898, decode.d0.loss_mask: 0.5324, decode.d0.loss_dice: 0.8523, decode.d1.loss_cls: 0.3621, decode.d1.loss_mask: 0.5139, decode.d1.loss_dice: 0.8091, decode.d2.loss_cls: 0.3092, decode.d2.loss_mask: 0.5079, decode.d2.loss_dice: 0.7884, decode.d3.loss_cls: 0.2874, decode.d3.loss_mask: 0.5053, decode.d3.loss_dice: 0.7742, decode.d4.loss_cls: 0.2798, decode.d4.loss_mask: 0.5026, decode.d4.loss_dice: 0.7682, decode.d5.loss_cls: 0.2784, decode.d5.loss_mask: 0.5026, decode.d5.loss_dice: 0.7678, decode.d6.loss_cls: 0.2749, decode.d6.loss_mask: 0.5000, decode.d6.loss_dice: 0.7627, decode.d7.loss_cls: 0.2738, decode.d7.loss_mask: 0.5006, decode.d7.loss_dice: 0.7664, decode.d8.loss_cls: 0.2719, decode.d8.loss_mask: 0.4990, decode.d8.loss_dice: 0.7671, loss: 16.8789, grad_norm: 69.5183 2023-11-22 10:49:26,886 - mmseg - INFO - Iter [83250/160000] lr: 4.569e-06, eta: 12:30:25, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2704, decode.loss_mask: 0.5040, decode.loss_dice: 0.7665, decode.d0.loss_cls: 1.3868, decode.d0.loss_mask: 0.5358, decode.d0.loss_dice: 0.8578, decode.d1.loss_cls: 0.3505, decode.d1.loss_mask: 0.5191, decode.d1.loss_dice: 0.8086, decode.d2.loss_cls: 0.3001, decode.d2.loss_mask: 0.5097, decode.d2.loss_dice: 0.7948, decode.d3.loss_cls: 0.2841, decode.d3.loss_mask: 0.5071, decode.d3.loss_dice: 0.7756, decode.d4.loss_cls: 0.2800, decode.d4.loss_mask: 0.5063, decode.d4.loss_dice: 0.7706, decode.d5.loss_cls: 0.2699, decode.d5.loss_mask: 0.5070, decode.d5.loss_dice: 0.7745, decode.d6.loss_cls: 0.2754, decode.d6.loss_mask: 0.5044, decode.d6.loss_dice: 0.7707, decode.d7.loss_cls: 0.2694, decode.d7.loss_mask: 0.5046, decode.d7.loss_dice: 0.7683, decode.d8.loss_cls: 0.2683, decode.d8.loss_mask: 0.5058, decode.d8.loss_dice: 0.7680, loss: 16.9140, grad_norm: 74.4043 2023-11-22 10:49:55,123 - mmseg - INFO - Iter [83300/160000] lr: 4.566e-06, eta: 12:29:55, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2715, decode.loss_mask: 0.5006, decode.loss_dice: 0.7680, decode.d0.loss_cls: 1.4147, decode.d0.loss_mask: 0.5353, decode.d0.loss_dice: 0.8481, decode.d1.loss_cls: 0.3497, decode.d1.loss_mask: 0.5238, decode.d1.loss_dice: 0.8009, decode.d2.loss_cls: 0.3061, decode.d2.loss_mask: 0.5114, decode.d2.loss_dice: 0.7828, decode.d3.loss_cls: 0.2880, decode.d3.loss_mask: 0.5073, decode.d3.loss_dice: 0.7666, decode.d4.loss_cls: 0.2770, decode.d4.loss_mask: 0.5076, decode.d4.loss_dice: 0.7713, decode.d5.loss_cls: 0.2732, decode.d5.loss_mask: 0.5046, decode.d5.loss_dice: 0.7691, decode.d6.loss_cls: 0.2776, decode.d6.loss_mask: 0.5009, decode.d6.loss_dice: 0.7607, decode.d7.loss_cls: 0.2709, decode.d7.loss_mask: 0.5017, decode.d7.loss_dice: 0.7694, decode.d8.loss_cls: 0.2675, decode.d8.loss_mask: 0.5009, decode.d8.loss_dice: 0.7639, loss: 16.8910, grad_norm: 77.2222 2023-11-22 10:50:23,660 - mmseg - INFO - Iter [83350/160000] lr: 4.563e-06, eta: 12:29:25, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2771, decode.loss_mask: 0.5081, decode.loss_dice: 0.7586, decode.d0.loss_cls: 1.4028, decode.d0.loss_mask: 0.5460, decode.d0.loss_dice: 0.8608, decode.d1.loss_cls: 0.3637, decode.d1.loss_mask: 0.5316, decode.d1.loss_dice: 0.8146, decode.d2.loss_cls: 0.3156, decode.d2.loss_mask: 0.5160, decode.d2.loss_dice: 0.7829, decode.d3.loss_cls: 0.2918, decode.d3.loss_mask: 0.5098, decode.d3.loss_dice: 0.7679, decode.d4.loss_cls: 0.2927, decode.d4.loss_mask: 0.5076, decode.d4.loss_dice: 0.7684, decode.d5.loss_cls: 0.2825, decode.d5.loss_mask: 0.5119, decode.d5.loss_dice: 0.7716, decode.d6.loss_cls: 0.2817, decode.d6.loss_mask: 0.5114, decode.d6.loss_dice: 0.7587, decode.d7.loss_cls: 0.2778, decode.d7.loss_mask: 0.5089, decode.d7.loss_dice: 0.7619, decode.d8.loss_cls: 0.2768, decode.d8.loss_mask: 0.5092, decode.d8.loss_dice: 0.7627, loss: 17.0310, grad_norm: 72.2343 2023-11-22 10:50:54,705 - mmseg - INFO - Iter [83400/160000] lr: 4.560e-06, eta: 12:28:57, time: 0.623, data_time: 0.060, memory: 38143, decode.loss_cls: 0.2578, decode.loss_mask: 0.4971, decode.loss_dice: 0.7386, decode.d0.loss_cls: 1.3605, decode.d0.loss_mask: 0.5289, decode.d0.loss_dice: 0.8309, decode.d1.loss_cls: 0.3452, decode.d1.loss_mask: 0.5122, decode.d1.loss_dice: 0.7827, decode.d2.loss_cls: 0.2949, decode.d2.loss_mask: 0.5062, decode.d2.loss_dice: 0.7587, decode.d3.loss_cls: 0.2746, decode.d3.loss_mask: 0.5005, decode.d3.loss_dice: 0.7439, decode.d4.loss_cls: 0.2690, decode.d4.loss_mask: 0.4973, decode.d4.loss_dice: 0.7448, decode.d5.loss_cls: 0.2615, decode.d5.loss_mask: 0.4975, decode.d5.loss_dice: 0.7450, decode.d6.loss_cls: 0.2642, decode.d6.loss_mask: 0.4957, decode.d6.loss_dice: 0.7374, decode.d7.loss_cls: 0.2588, decode.d7.loss_mask: 0.4959, decode.d7.loss_dice: 0.7394, decode.d8.loss_cls: 0.2560, decode.d8.loss_mask: 0.4950, decode.d8.loss_dice: 0.7401, loss: 16.4304, grad_norm: 69.8191 2023-11-22 10:51:23,029 - mmseg - INFO - Iter [83450/160000] lr: 4.557e-06, eta: 12:28:27, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2485, decode.loss_mask: 0.5147, decode.loss_dice: 0.7464, decode.d0.loss_cls: 1.3312, decode.d0.loss_mask: 0.5525, decode.d0.loss_dice: 0.8351, decode.d1.loss_cls: 0.3228, decode.d1.loss_mask: 0.5337, decode.d1.loss_dice: 0.7938, decode.d2.loss_cls: 0.2781, decode.d2.loss_mask: 0.5244, decode.d2.loss_dice: 0.7647, decode.d3.loss_cls: 0.2690, decode.d3.loss_mask: 0.5187, decode.d3.loss_dice: 0.7511, decode.d4.loss_cls: 0.2573, decode.d4.loss_mask: 0.5176, decode.d4.loss_dice: 0.7511, decode.d5.loss_cls: 0.2546, decode.d5.loss_mask: 0.5144, decode.d5.loss_dice: 0.7503, decode.d6.loss_cls: 0.2472, decode.d6.loss_mask: 0.5144, decode.d6.loss_dice: 0.7463, decode.d7.loss_cls: 0.2426, decode.d7.loss_mask: 0.5160, decode.d7.loss_dice: 0.7470, decode.d8.loss_cls: 0.2483, decode.d8.loss_mask: 0.5160, decode.d8.loss_dice: 0.7468, loss: 16.5544, grad_norm: 73.9611 2023-11-22 10:51:51,311 - mmseg - INFO - Iter [83500/160000] lr: 4.554e-06, eta: 12:27:57, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2570, decode.loss_mask: 0.5046, decode.loss_dice: 0.7610, decode.d0.loss_cls: 1.3739, decode.d0.loss_mask: 0.5412, decode.d0.loss_dice: 0.8462, decode.d1.loss_cls: 0.3344, decode.d1.loss_mask: 0.5246, decode.d1.loss_dice: 0.8012, decode.d2.loss_cls: 0.2904, decode.d2.loss_mask: 0.5091, decode.d2.loss_dice: 0.7799, decode.d3.loss_cls: 0.2760, decode.d3.loss_mask: 0.5066, decode.d3.loss_dice: 0.7602, decode.d4.loss_cls: 0.2692, decode.d4.loss_mask: 0.5066, decode.d4.loss_dice: 0.7642, decode.d5.loss_cls: 0.2622, decode.d5.loss_mask: 0.5072, decode.d5.loss_dice: 0.7649, decode.d6.loss_cls: 0.2623, decode.d6.loss_mask: 0.5042, decode.d6.loss_dice: 0.7586, decode.d7.loss_cls: 0.2578, decode.d7.loss_mask: 0.5059, decode.d7.loss_dice: 0.7621, decode.d8.loss_cls: 0.2574, decode.d8.loss_mask: 0.5033, decode.d8.loss_dice: 0.7614, loss: 16.7134, grad_norm: 76.6588 2023-11-22 10:52:19,592 - mmseg - INFO - Iter [83550/160000] lr: 4.551e-06, eta: 12:27:26, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2514, decode.loss_mask: 0.5078, decode.loss_dice: 0.7561, decode.d0.loss_cls: 1.3644, decode.d0.loss_mask: 0.5443, decode.d0.loss_dice: 0.8447, decode.d1.loss_cls: 0.3455, decode.d1.loss_mask: 0.5307, decode.d1.loss_dice: 0.8001, decode.d2.loss_cls: 0.2955, decode.d2.loss_mask: 0.5163, decode.d2.loss_dice: 0.7785, decode.d3.loss_cls: 0.2694, decode.d3.loss_mask: 0.5121, decode.d3.loss_dice: 0.7629, decode.d4.loss_cls: 0.2602, decode.d4.loss_mask: 0.5091, decode.d4.loss_dice: 0.7606, decode.d5.loss_cls: 0.2598, decode.d5.loss_mask: 0.5094, decode.d5.loss_dice: 0.7600, decode.d6.loss_cls: 0.2479, decode.d6.loss_mask: 0.5084, decode.d6.loss_dice: 0.7567, decode.d7.loss_cls: 0.2484, decode.d7.loss_mask: 0.5083, decode.d7.loss_dice: 0.7586, decode.d8.loss_cls: 0.2477, decode.d8.loss_mask: 0.5077, decode.d8.loss_dice: 0.7564, loss: 16.6789, grad_norm: 69.6024 2023-11-22 10:52:47,823 - mmseg - INFO - Iter [83600/160000] lr: 4.548e-06, eta: 12:26:56, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2752, decode.loss_mask: 0.4938, decode.loss_dice: 0.7472, decode.d0.loss_cls: 1.4014, decode.d0.loss_mask: 0.5333, decode.d0.loss_dice: 0.8465, decode.d1.loss_cls: 0.3720, decode.d1.loss_mask: 0.5144, decode.d1.loss_dice: 0.7875, decode.d2.loss_cls: 0.3246, decode.d2.loss_mask: 0.5029, decode.d2.loss_dice: 0.7720, decode.d3.loss_cls: 0.2982, decode.d3.loss_mask: 0.4987, decode.d3.loss_dice: 0.7545, decode.d4.loss_cls: 0.2902, decode.d4.loss_mask: 0.4966, decode.d4.loss_dice: 0.7575, decode.d5.loss_cls: 0.2764, decode.d5.loss_mask: 0.4971, decode.d5.loss_dice: 0.7548, decode.d6.loss_cls: 0.2780, decode.d6.loss_mask: 0.4955, decode.d6.loss_dice: 0.7495, decode.d7.loss_cls: 0.2740, decode.d7.loss_mask: 0.4969, decode.d7.loss_dice: 0.7472, decode.d8.loss_cls: 0.2754, decode.d8.loss_mask: 0.4952, decode.d8.loss_dice: 0.7478, loss: 16.7545, grad_norm: 70.7486 2023-11-22 10:53:16,311 - mmseg - INFO - Iter [83650/160000] lr: 4.545e-06, eta: 12:26:26, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2631, decode.loss_mask: 0.4945, decode.loss_dice: 0.7419, decode.d0.loss_cls: 1.3737, decode.d0.loss_mask: 0.5296, decode.d0.loss_dice: 0.8350, decode.d1.loss_cls: 0.3563, decode.d1.loss_mask: 0.5162, decode.d1.loss_dice: 0.7837, decode.d2.loss_cls: 0.3046, decode.d2.loss_mask: 0.5068, decode.d2.loss_dice: 0.7678, decode.d3.loss_cls: 0.2862, decode.d3.loss_mask: 0.4984, decode.d3.loss_dice: 0.7495, decode.d4.loss_cls: 0.2797, decode.d4.loss_mask: 0.4969, decode.d4.loss_dice: 0.7474, decode.d5.loss_cls: 0.2811, decode.d5.loss_mask: 0.4940, decode.d5.loss_dice: 0.7451, decode.d6.loss_cls: 0.2699, decode.d6.loss_mask: 0.4927, decode.d6.loss_dice: 0.7411, decode.d7.loss_cls: 0.2668, decode.d7.loss_mask: 0.4938, decode.d7.loss_dice: 0.7430, decode.d8.loss_cls: 0.2639, decode.d8.loss_mask: 0.4954, decode.d8.loss_dice: 0.7458, loss: 16.5640, grad_norm: 73.6038 2023-11-22 10:53:44,968 - mmseg - INFO - Iter [83700/160000] lr: 4.542e-06, eta: 12:25:56, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2684, decode.loss_mask: 0.4911, decode.loss_dice: 0.7389, decode.d0.loss_cls: 1.4190, decode.d0.loss_mask: 0.5330, decode.d0.loss_dice: 0.8382, decode.d1.loss_cls: 0.3521, decode.d1.loss_mask: 0.5147, decode.d1.loss_dice: 0.7861, decode.d2.loss_cls: 0.3045, decode.d2.loss_mask: 0.5012, decode.d2.loss_dice: 0.7702, decode.d3.loss_cls: 0.2875, decode.d3.loss_mask: 0.4961, decode.d3.loss_dice: 0.7498, decode.d4.loss_cls: 0.2810, decode.d4.loss_mask: 0.4948, decode.d4.loss_dice: 0.7440, decode.d5.loss_cls: 0.2785, decode.d5.loss_mask: 0.4930, decode.d5.loss_dice: 0.7478, decode.d6.loss_cls: 0.2782, decode.d6.loss_mask: 0.4932, decode.d6.loss_dice: 0.7389, decode.d7.loss_cls: 0.2700, decode.d7.loss_mask: 0.4918, decode.d7.loss_dice: 0.7414, decode.d8.loss_cls: 0.2695, decode.d8.loss_mask: 0.4915, decode.d8.loss_dice: 0.7430, loss: 16.6073, grad_norm: 71.2851 2023-11-22 10:54:13,362 - mmseg - INFO - Iter [83750/160000] lr: 4.539e-06, eta: 12:25:26, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2477, decode.loss_mask: 0.5041, decode.loss_dice: 0.7496, decode.d0.loss_cls: 1.3449, decode.d0.loss_mask: 0.5394, decode.d0.loss_dice: 0.8400, decode.d1.loss_cls: 0.3333, decode.d1.loss_mask: 0.5207, decode.d1.loss_dice: 0.7913, decode.d2.loss_cls: 0.2847, decode.d2.loss_mask: 0.5098, decode.d2.loss_dice: 0.7727, decode.d3.loss_cls: 0.2700, decode.d3.loss_mask: 0.5059, decode.d3.loss_dice: 0.7551, decode.d4.loss_cls: 0.2616, decode.d4.loss_mask: 0.5056, decode.d4.loss_dice: 0.7575, decode.d5.loss_cls: 0.2543, decode.d5.loss_mask: 0.5099, decode.d5.loss_dice: 0.7576, decode.d6.loss_cls: 0.2514, decode.d6.loss_mask: 0.5065, decode.d6.loss_dice: 0.7513, decode.d7.loss_cls: 0.2476, decode.d7.loss_mask: 0.5062, decode.d7.loss_dice: 0.7516, decode.d8.loss_cls: 0.2482, decode.d8.loss_mask: 0.5054, decode.d8.loss_dice: 0.7516, loss: 16.5355, grad_norm: 69.1258 2023-11-22 10:54:41,565 - mmseg - INFO - Iter [83800/160000] lr: 4.536e-06, eta: 12:24:55, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2651, decode.loss_mask: 0.4973, decode.loss_dice: 0.7386, decode.d0.loss_cls: 1.3699, decode.d0.loss_mask: 0.5304, decode.d0.loss_dice: 0.8306, decode.d1.loss_cls: 0.3547, decode.d1.loss_mask: 0.5187, decode.d1.loss_dice: 0.7782, decode.d2.loss_cls: 0.2869, decode.d2.loss_mask: 0.5052, decode.d2.loss_dice: 0.7544, decode.d3.loss_cls: 0.2745, decode.d3.loss_mask: 0.5009, decode.d3.loss_dice: 0.7427, decode.d4.loss_cls: 0.2646, decode.d4.loss_mask: 0.5008, decode.d4.loss_dice: 0.7479, decode.d5.loss_cls: 0.2612, decode.d5.loss_mask: 0.4985, decode.d5.loss_dice: 0.7431, decode.d6.loss_cls: 0.2621, decode.d6.loss_mask: 0.4979, decode.d6.loss_dice: 0.7359, decode.d7.loss_cls: 0.2588, decode.d7.loss_mask: 0.4978, decode.d7.loss_dice: 0.7392, decode.d8.loss_cls: 0.2602, decode.d8.loss_mask: 0.4983, decode.d8.loss_dice: 0.7386, loss: 16.4528, grad_norm: 68.1059 2023-11-22 10:55:09,925 - mmseg - INFO - Iter [83850/160000] lr: 4.533e-06, eta: 12:24:25, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2564, decode.loss_mask: 0.4940, decode.loss_dice: 0.7468, decode.d0.loss_cls: 1.4237, decode.d0.loss_mask: 0.5239, decode.d0.loss_dice: 0.8385, decode.d1.loss_cls: 0.3510, decode.d1.loss_mask: 0.5124, decode.d1.loss_dice: 0.7870, decode.d2.loss_cls: 0.2902, decode.d2.loss_mask: 0.5008, decode.d2.loss_dice: 0.7686, decode.d3.loss_cls: 0.2728, decode.d3.loss_mask: 0.4948, decode.d3.loss_dice: 0.7539, decode.d4.loss_cls: 0.2641, decode.d4.loss_mask: 0.4944, decode.d4.loss_dice: 0.7536, decode.d5.loss_cls: 0.2662, decode.d5.loss_mask: 0.4919, decode.d5.loss_dice: 0.7533, decode.d6.loss_cls: 0.2641, decode.d6.loss_mask: 0.4931, decode.d6.loss_dice: 0.7455, decode.d7.loss_cls: 0.2620, decode.d7.loss_mask: 0.4922, decode.d7.loss_dice: 0.7423, decode.d8.loss_cls: 0.2588, decode.d8.loss_mask: 0.4923, decode.d8.loss_dice: 0.7471, loss: 16.5357, grad_norm: 66.4815 2023-11-22 10:55:38,268 - mmseg - INFO - Iter [83900/160000] lr: 4.530e-06, eta: 12:23:55, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2583, decode.loss_mask: 0.4781, decode.loss_dice: 0.7265, decode.d0.loss_cls: 1.3666, decode.d0.loss_mask: 0.5170, decode.d0.loss_dice: 0.8206, decode.d1.loss_cls: 0.3469, decode.d1.loss_mask: 0.5003, decode.d1.loss_dice: 0.7679, decode.d2.loss_cls: 0.2991, decode.d2.loss_mask: 0.4896, decode.d2.loss_dice: 0.7495, decode.d3.loss_cls: 0.2823, decode.d3.loss_mask: 0.4806, decode.d3.loss_dice: 0.7334, decode.d4.loss_cls: 0.2709, decode.d4.loss_mask: 0.4811, decode.d4.loss_dice: 0.7306, decode.d5.loss_cls: 0.2683, decode.d5.loss_mask: 0.4806, decode.d5.loss_dice: 0.7299, decode.d6.loss_cls: 0.2690, decode.d6.loss_mask: 0.4777, decode.d6.loss_dice: 0.7225, decode.d7.loss_cls: 0.2643, decode.d7.loss_mask: 0.4792, decode.d7.loss_dice: 0.7222, decode.d8.loss_cls: 0.2602, decode.d8.loss_mask: 0.4784, decode.d8.loss_dice: 0.7251, loss: 16.1768, grad_norm: 68.8876 2023-11-22 10:56:06,689 - mmseg - INFO - Iter [83950/160000] lr: 4.527e-06, eta: 12:23:25, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2642, decode.loss_mask: 0.4908, decode.loss_dice: 0.7511, decode.d0.loss_cls: 1.3791, decode.d0.loss_mask: 0.5207, decode.d0.loss_dice: 0.8367, decode.d1.loss_cls: 0.3412, decode.d1.loss_mask: 0.5132, decode.d1.loss_dice: 0.7954, decode.d2.loss_cls: 0.2907, decode.d2.loss_mask: 0.5035, decode.d2.loss_dice: 0.7718, decode.d3.loss_cls: 0.2775, decode.d3.loss_mask: 0.4944, decode.d3.loss_dice: 0.7623, decode.d4.loss_cls: 0.2683, decode.d4.loss_mask: 0.4945, decode.d4.loss_dice: 0.7603, decode.d5.loss_cls: 0.2644, decode.d5.loss_mask: 0.4943, decode.d5.loss_dice: 0.7606, decode.d6.loss_cls: 0.2622, decode.d6.loss_mask: 0.4924, decode.d6.loss_dice: 0.7564, decode.d7.loss_cls: 0.2616, decode.d7.loss_mask: 0.4918, decode.d7.loss_dice: 0.7523, decode.d8.loss_cls: 0.2584, decode.d8.loss_mask: 0.4920, decode.d8.loss_dice: 0.7513, loss: 16.5533, grad_norm: 69.2408 2023-11-22 10:56:35,334 - mmseg - INFO - Saving checkpoint at 84000 iterations 2023-11-22 10:56:43,651 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 10:56:43,651 - mmseg - INFO - Iter [84000/160000] lr: 4.524e-06, eta: 12:23:02, time: 0.739, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2678, decode.loss_mask: 0.5086, decode.loss_dice: 0.7624, decode.d0.loss_cls: 1.3997, decode.d0.loss_mask: 0.5502, decode.d0.loss_dice: 0.8676, decode.d1.loss_cls: 0.3645, decode.d1.loss_mask: 0.5335, decode.d1.loss_dice: 0.8118, decode.d2.loss_cls: 0.3090, decode.d2.loss_mask: 0.5205, decode.d2.loss_dice: 0.7859, decode.d3.loss_cls: 0.2895, decode.d3.loss_mask: 0.5146, decode.d3.loss_dice: 0.7730, decode.d4.loss_cls: 0.2830, decode.d4.loss_mask: 0.5110, decode.d4.loss_dice: 0.7689, decode.d5.loss_cls: 0.2769, decode.d5.loss_mask: 0.5126, decode.d5.loss_dice: 0.7737, decode.d6.loss_cls: 0.2690, decode.d6.loss_mask: 0.5120, decode.d6.loss_dice: 0.7635, decode.d7.loss_cls: 0.2637, decode.d7.loss_mask: 0.5097, decode.d7.loss_dice: 0.7634, decode.d8.loss_cls: 0.2637, decode.d8.loss_mask: 0.5098, decode.d8.loss_dice: 0.7701, loss: 17.0095, grad_norm: 78.4183 2023-11-22 10:57:03,125 - mmseg - INFO - per class results: 2023-11-22 10:57:03,131 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.76 | 88.71 | | building | 83.34 | 92.18 | | sky | 95.05 | 97.75 | | floor | 83.97 | 91.01 | | tree | 75.37 | 88.3 | | ceiling | 85.89 | 92.5 | | road | 87.91 | 91.35 | | bed | 92.12 | 95.95 | | windowpane | 65.76 | 81.71 | | grass | 70.29 | 85.08 | | cabinet | 64.45 | 73.39 | | sidewalk | 70.99 | 85.21 | | person | 86.26 | 93.94 | | earth | 41.33 | 58.14 | | door | 55.44 | 70.92 | | table | 68.75 | 85.44 | | mountain | 53.57 | 66.24 | | plant | 55.35 | 67.78 | | curtain | 75.99 | 86.72 | | chair | 66.37 | 76.52 | | car | 87.93 | 94.89 | | water | 55.08 | 69.79 | | painting | 75.44 | 87.73 | | sofa | 74.63 | 88.91 | | shelf | 45.62 | 63.97 | | house | 44.36 | 62.92 | | sea | 61.75 | 89.86 | | mirror | 73.79 | 83.27 | | rug | 68.0 | 81.02 | | field | 39.4 | 58.12 | | armchair | 52.27 | 73.44 | | seat | 64.22 | 86.29 | | fence | 51.32 | 70.53 | | desk | 52.3 | 70.7 | | rock | 52.64 | 70.47 | | wardrobe | 44.76 | 64.66 | | lamp | 72.53 | 82.93 | | bathtub | 79.98 | 86.43 | | railing | 41.98 | 58.67 | | cushion | 64.15 | 71.34 | | base | 45.27 | 66.9 | | box | 32.73 | 41.83 | | column | 54.8 | 70.82 | | signboard | 42.95 | 59.79 | | chest of drawers | 42.03 | 74.27 | | counter | 47.56 | 61.22 | | sand | 42.65 | 62.24 | | sink | 80.87 | 85.32 | | skyscraper | 43.2 | 55.62 | | fireplace | 77.32 | 90.78 | | refrigerator | 84.39 | 92.71 | | grandstand | 56.72 | 71.86 | | path | 17.55 | 26.37 | | stairs | 37.96 | 48.51 | | runway | 76.42 | 97.53 | | case | 60.98 | 85.65 | | pool table | 94.79 | 97.15 | | pillow | 65.12 | 78.59 | | screen door | 72.16 | 81.79 | | stairway | 31.15 | 53.4 | | river | 17.2 | 26.67 | | bridge | 83.45 | 92.27 | | bookcase | 29.84 | 41.17 | | blind | 43.02 | 46.62 | | coffee table | 70.98 | 84.49 | | toilet | 91.4 | 93.8 | | flower | 49.27 | 70.25 | | book | 53.64 | 76.07 | | hill | 8.51 | 14.47 | | bench | 66.32 | 75.09 | | countertop | 65.57 | 78.53 | | stove | 87.28 | 94.51 | | palm | 53.66 | 82.29 | | kitchen island | 48.17 | 63.21 | | computer | 73.88 | 80.2 | | swivel chair | 56.23 | 77.91 | | boat | 70.07 | 92.77 | | bar | 61.66 | 67.96 | | arcade machine | 23.26 | 24.47 | | hovel | 60.58 | 76.59 | | bus | 86.37 | 97.66 | | towel | 77.84 | 89.03 | | light | 65.43 | 75.79 | | truck | 24.93 | 29.0 | | tower | 28.52 | 46.97 | | chandelier | 70.24 | 84.2 | | awning | 34.62 | 57.46 | | streetlight | 45.29 | 66.57 | | booth | 54.65 | 73.65 | | television receiver | 73.19 | 88.77 | | airplane | 67.4 | 72.37 | | dirt track | 7.3 | 20.22 | | apparel | 50.82 | 69.44 | | pole | 36.73 | 53.36 | | land | 3.88 | 7.0 | | bannister | 18.12 | 29.14 | | escalator | 38.83 | 42.9 | | ottoman | 49.31 | 72.09 | | bottle | 41.19 | 68.62 | | buffet | 46.4 | 54.82 | | poster | 29.49 | 49.55 | | stage | 18.41 | 39.06 | | van | 42.97 | 60.24 | | ship | 12.81 | 13.26 | | fountain | 21.48 | 21.9 | | conveyer belt | 72.22 | 91.93 | | canopy | 14.72 | 24.14 | | washer | 69.89 | 73.4 | | plaything | 36.61 | 50.07 | | swimming pool | 61.92 | 62.63 | | stool | 56.41 | 74.9 | | barrel | 79.5 | 98.68 | | basket | 47.5 | 61.93 | | waterfall | 79.21 | 91.17 | | tent | 89.84 | 98.26 | | bag | 30.28 | 42.09 | | minibike | 72.53 | 90.49 | | cradle | 83.06 | 97.6 | | oven | 26.23 | 72.35 | | ball | 59.31 | 66.43 | | food | 56.51 | 67.67 | | step | 27.92 | 39.28 | | tank | 53.96 | 55.89 | | trade name | 34.81 | 43.02 | | microwave | 43.76 | 46.33 | | pot | 55.07 | 66.57 | | animal | 60.22 | 61.33 | | bicycle | 50.6 | 80.58 | | lake | 0.0 | 0.0 | | dishwasher | 81.99 | 88.01 | | screen | 58.35 | 90.1 | | blanket | 38.6 | 49.85 | | sculpture | 65.13 | 88.83 | | hood | 77.38 | 89.58 | | sconce | 61.08 | 76.05 | | vase | 54.78 | 75.37 | | traffic light | 48.48 | 73.44 | | tray | 23.47 | 36.97 | | ashcan | 52.08 | 72.07 | | fan | 71.37 | 84.42 | | pier | 14.2 | 14.7 | | crt screen | 3.1 | 7.89 | | plate | 63.76 | 84.72 | | monitor | 5.48 | 7.92 | | bulletin board | 56.71 | 75.42 | | shower | 4.65 | 26.69 | | radiator | 65.36 | 82.48 | | glass | 24.46 | 26.89 | | clock | 56.15 | 71.16 | | flag | 49.73 | 58.73 | +---------------------+-------+-------+ 2023-11-22 10:57:03,131 - mmseg - INFO - Summary: 2023-11-22 10:57:03,131 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.08 | 54.44 | 67.78 | +-------+-------+-------+ 2023-11-22 10:57:03,132 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 10:57:03,132 - mmseg - INFO - Iter(val) [250] aAcc: 0.8508, mIoU: 0.5444, mAcc: 0.6778, IoU.wall: 0.8076, IoU.building: 0.8334, IoU.sky: 0.9505, IoU.floor: 0.8397, IoU.tree: 0.7537, IoU.ceiling: 0.8589, IoU.road: 0.8791, IoU.bed : 0.9212, IoU.windowpane: 0.6576, IoU.grass: 0.7029, IoU.cabinet: 0.6445, IoU.sidewalk: 0.7099, IoU.person: 0.8626, IoU.earth: 0.4133, IoU.door: 0.5544, IoU.table: 0.6875, IoU.mountain: 0.5357, IoU.plant: 0.5535, IoU.curtain: 0.7599, IoU.chair: 0.6637, IoU.car: 0.8793, IoU.water: 0.5508, IoU.painting: 0.7544, IoU.sofa: 0.7463, IoU.shelf: 0.4562, IoU.house: 0.4436, IoU.sea: 0.6175, IoU.mirror: 0.7379, IoU.rug: 0.6800, IoU.field: 0.3940, IoU.armchair: 0.5227, IoU.seat: 0.6422, IoU.fence: 0.5132, IoU.desk: 0.5230, IoU.rock: 0.5264, IoU.wardrobe: 0.4476, IoU.lamp: 0.7253, IoU.bathtub: 0.7998, IoU.railing: 0.4198, IoU.cushion: 0.6415, IoU.base: 0.4527, IoU.box: 0.3273, IoU.column: 0.5480, IoU.signboard: 0.4295, IoU.chest of drawers: 0.4203, IoU.counter: 0.4756, IoU.sand: 0.4265, IoU.sink: 0.8087, IoU.skyscraper: 0.4320, IoU.fireplace: 0.7732, IoU.refrigerator: 0.8439, IoU.grandstand: 0.5672, IoU.path: 0.1755, IoU.stairs: 0.3796, IoU.runway: 0.7642, IoU.case: 0.6098, IoU.pool table: 0.9479, IoU.pillow: 0.6512, IoU.screen door: 0.7216, IoU.stairway: 0.3115, IoU.river: 0.1720, IoU.bridge: 0.8345, IoU.bookcase: 0.2984, IoU.blind: 0.4302, IoU.coffee table: 0.7098, IoU.toilet: 0.9140, IoU.flower: 0.4927, IoU.book: 0.5364, IoU.hill: 0.0851, IoU.bench: 0.6632, IoU.countertop: 0.6557, IoU.stove: 0.8728, IoU.palm: 0.5366, IoU.kitchen island: 0.4817, IoU.computer: 0.7388, IoU.swivel chair: 0.5623, IoU.boat: 0.7007, IoU.bar: 0.6166, IoU.arcade machine: 0.2326, IoU.hovel: 0.6058, IoU.bus: 0.8637, IoU.towel: 0.7784, IoU.light: 0.6543, IoU.truck: 0.2493, IoU.tower: 0.2852, IoU.chandelier: 0.7024, IoU.awning: 0.3462, IoU.streetlight: 0.4529, IoU.booth: 0.5465, IoU.television receiver: 0.7319, IoU.airplane: 0.6740, IoU.dirt track: 0.0730, IoU.apparel: 0.5082, IoU.pole: 0.3673, IoU.land: 0.0388, IoU.bannister: 0.1812, IoU.escalator: 0.3883, IoU.ottoman: 0.4931, IoU.bottle: 0.4119, IoU.buffet: 0.4640, IoU.poster: 0.2949, IoU.stage: 0.1841, IoU.van: 0.4297, IoU.ship: 0.1281, IoU.fountain: 0.2148, IoU.conveyer belt: 0.7222, IoU.canopy: 0.1472, IoU.washer: 0.6989, IoU.plaything: 0.3661, IoU.swimming pool: 0.6192, IoU.stool: 0.5641, IoU.barrel: 0.7950, IoU.basket: 0.4750, IoU.waterfall: 0.7921, IoU.tent: 0.8984, IoU.bag: 0.3028, IoU.minibike: 0.7253, IoU.cradle: 0.8306, IoU.oven: 0.2623, IoU.ball: 0.5931, IoU.food: 0.5651, IoU.step: 0.2792, IoU.tank: 0.5396, IoU.trade name: 0.3481, IoU.microwave: 0.4376, IoU.pot: 0.5507, IoU.animal: 0.6022, IoU.bicycle: 0.5060, IoU.lake: 0.0000, IoU.dishwasher: 0.8199, IoU.screen: 0.5835, IoU.blanket: 0.3860, IoU.sculpture: 0.6513, IoU.hood: 0.7738, IoU.sconce: 0.6108, IoU.vase: 0.5478, IoU.traffic light: 0.4848, IoU.tray: 0.2347, IoU.ashcan: 0.5208, IoU.fan: 0.7137, IoU.pier: 0.1420, IoU.crt screen: 0.0310, IoU.plate: 0.6376, IoU.monitor: 0.0548, IoU.bulletin board: 0.5671, IoU.shower: 0.0465, IoU.radiator: 0.6536, IoU.glass: 0.2446, IoU.clock: 0.5615, IoU.flag: 0.4973, Acc.wall: 0.8871, Acc.building: 0.9218, Acc.sky: 0.9775, Acc.floor: 0.9101, Acc.tree: 0.8830, Acc.ceiling: 0.9250, Acc.road: 0.9135, Acc.bed : 0.9595, Acc.windowpane: 0.8171, Acc.grass: 0.8508, Acc.cabinet: 0.7339, Acc.sidewalk: 0.8521, Acc.person: 0.9394, Acc.earth: 0.5814, Acc.door: 0.7092, Acc.table: 0.8544, Acc.mountain: 0.6624, Acc.plant: 0.6778, Acc.curtain: 0.8672, Acc.chair: 0.7652, Acc.car: 0.9489, Acc.water: 0.6979, Acc.painting: 0.8773, Acc.sofa: 0.8891, Acc.shelf: 0.6397, Acc.house: 0.6292, Acc.sea: 0.8986, Acc.mirror: 0.8327, Acc.rug: 0.8102, Acc.field: 0.5812, Acc.armchair: 0.7344, Acc.seat: 0.8629, Acc.fence: 0.7053, Acc.desk: 0.7070, Acc.rock: 0.7047, Acc.wardrobe: 0.6466, Acc.lamp: 0.8293, Acc.bathtub: 0.8643, Acc.railing: 0.5867, Acc.cushion: 0.7134, Acc.base: 0.6690, Acc.box: 0.4183, Acc.column: 0.7082, Acc.signboard: 0.5979, Acc.chest of drawers: 0.7427, Acc.counter: 0.6122, Acc.sand: 0.6224, Acc.sink: 0.8532, Acc.skyscraper: 0.5562, Acc.fireplace: 0.9078, Acc.refrigerator: 0.9271, Acc.grandstand: 0.7186, Acc.path: 0.2637, Acc.stairs: 0.4851, Acc.runway: 0.9753, Acc.case: 0.8565, Acc.pool table: 0.9715, Acc.pillow: 0.7859, Acc.screen door: 0.8179, Acc.stairway: 0.5340, Acc.river: 0.2667, Acc.bridge: 0.9227, Acc.bookcase: 0.4117, Acc.blind: 0.4662, Acc.coffee table: 0.8449, Acc.toilet: 0.9380, Acc.flower: 0.7025, Acc.book: 0.7607, Acc.hill: 0.1447, Acc.bench: 0.7509, Acc.countertop: 0.7853, Acc.stove: 0.9451, Acc.palm: 0.8229, Acc.kitchen island: 0.6321, Acc.computer: 0.8020, Acc.swivel chair: 0.7791, Acc.boat: 0.9277, Acc.bar: 0.6796, Acc.arcade machine: 0.2447, Acc.hovel: 0.7659, Acc.bus: 0.9766, Acc.towel: 0.8903, Acc.light: 0.7579, Acc.truck: 0.2900, Acc.tower: 0.4697, Acc.chandelier: 0.8420, Acc.awning: 0.5746, Acc.streetlight: 0.6657, Acc.booth: 0.7365, Acc.television receiver: 0.8877, Acc.airplane: 0.7237, Acc.dirt track: 0.2022, Acc.apparel: 0.6944, Acc.pole: 0.5336, Acc.land: 0.0700, Acc.bannister: 0.2914, Acc.escalator: 0.4290, Acc.ottoman: 0.7209, Acc.bottle: 0.6862, Acc.buffet: 0.5482, Acc.poster: 0.4955, Acc.stage: 0.3906, Acc.van: 0.6024, Acc.ship: 0.1326, Acc.fountain: 0.2190, Acc.conveyer belt: 0.9193, Acc.canopy: 0.2414, Acc.washer: 0.7340, Acc.plaything: 0.5007, Acc.swimming pool: 0.6263, Acc.stool: 0.7490, Acc.barrel: 0.9868, Acc.basket: 0.6193, Acc.waterfall: 0.9117, Acc.tent: 0.9826, Acc.bag: 0.4209, Acc.minibike: 0.9049, Acc.cradle: 0.9760, Acc.oven: 0.7235, Acc.ball: 0.6643, Acc.food: 0.6767, Acc.step: 0.3928, Acc.tank: 0.5589, Acc.trade name: 0.4302, Acc.microwave: 0.4633, Acc.pot: 0.6657, Acc.animal: 0.6133, Acc.bicycle: 0.8058, Acc.lake: 0.0000, Acc.dishwasher: 0.8801, Acc.screen: 0.9010, Acc.blanket: 0.4985, Acc.sculpture: 0.8883, Acc.hood: 0.8958, Acc.sconce: 0.7605, Acc.vase: 0.7537, Acc.traffic light: 0.7344, Acc.tray: 0.3697, Acc.ashcan: 0.7207, Acc.fan: 0.8442, Acc.pier: 0.1470, Acc.crt screen: 0.0789, Acc.plate: 0.8472, Acc.monitor: 0.0792, Acc.bulletin board: 0.7542, Acc.shower: 0.2669, Acc.radiator: 0.8248, Acc.glass: 0.2689, Acc.clock: 0.7116, Acc.flag: 0.5873 2023-11-22 10:57:31,350 - mmseg - INFO - Iter [84050/160000] lr: 4.521e-06, eta: 12:22:50, time: 0.954, data_time: 0.404, memory: 38143, decode.loss_cls: 0.2468, decode.loss_mask: 0.5115, decode.loss_dice: 0.7565, decode.d0.loss_cls: 1.3536, decode.d0.loss_mask: 0.5460, decode.d0.loss_dice: 0.8501, decode.d1.loss_cls: 0.3291, decode.d1.loss_mask: 0.5293, decode.d1.loss_dice: 0.7977, decode.d2.loss_cls: 0.2800, decode.d2.loss_mask: 0.5203, decode.d2.loss_dice: 0.7778, decode.d3.loss_cls: 0.2643, decode.d3.loss_mask: 0.5165, decode.d3.loss_dice: 0.7599, decode.d4.loss_cls: 0.2538, decode.d4.loss_mask: 0.5151, decode.d4.loss_dice: 0.7641, decode.d5.loss_cls: 0.2514, decode.d5.loss_mask: 0.5129, decode.d5.loss_dice: 0.7586, decode.d6.loss_cls: 0.2516, decode.d6.loss_mask: 0.5133, decode.d6.loss_dice: 0.7578, decode.d7.loss_cls: 0.2449, decode.d7.loss_mask: 0.5108, decode.d7.loss_dice: 0.7606, decode.d8.loss_cls: 0.2491, decode.d8.loss_mask: 0.5106, decode.d8.loss_dice: 0.7583, loss: 16.6523, grad_norm: 69.9063 2023-11-22 10:57:59,813 - mmseg - INFO - Iter [84100/160000] lr: 4.518e-06, eta: 12:22:20, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2584, decode.loss_mask: 0.4785, decode.loss_dice: 0.7206, decode.d0.loss_cls: 1.3944, decode.d0.loss_mask: 0.5171, decode.d0.loss_dice: 0.8151, decode.d1.loss_cls: 0.3482, decode.d1.loss_mask: 0.4944, decode.d1.loss_dice: 0.7630, decode.d2.loss_cls: 0.2957, decode.d2.loss_mask: 0.4842, decode.d2.loss_dice: 0.7436, decode.d3.loss_cls: 0.2769, decode.d3.loss_mask: 0.4782, decode.d3.loss_dice: 0.7234, decode.d4.loss_cls: 0.2689, decode.d4.loss_mask: 0.4790, decode.d4.loss_dice: 0.7260, decode.d5.loss_cls: 0.2604, decode.d5.loss_mask: 0.4767, decode.d5.loss_dice: 0.7241, decode.d6.loss_cls: 0.2590, decode.d6.loss_mask: 0.4777, decode.d6.loss_dice: 0.7196, decode.d7.loss_cls: 0.2557, decode.d7.loss_mask: 0.4775, decode.d7.loss_dice: 0.7216, decode.d8.loss_cls: 0.2595, decode.d8.loss_mask: 0.4760, decode.d8.loss_dice: 0.7195, loss: 16.0929, grad_norm: 64.1381 2023-11-22 10:58:28,160 - mmseg - INFO - Iter [84150/160000] lr: 4.515e-06, eta: 12:21:49, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2684, decode.loss_mask: 0.5180, decode.loss_dice: 0.7579, decode.d0.loss_cls: 1.3659, decode.d0.loss_mask: 0.5570, decode.d0.loss_dice: 0.8508, decode.d1.loss_cls: 0.3439, decode.d1.loss_mask: 0.5397, decode.d1.loss_dice: 0.8118, decode.d2.loss_cls: 0.2969, decode.d2.loss_mask: 0.5281, decode.d2.loss_dice: 0.7770, decode.d3.loss_cls: 0.2821, decode.d3.loss_mask: 0.5234, decode.d3.loss_dice: 0.7655, decode.d4.loss_cls: 0.2799, decode.d4.loss_mask: 0.5210, decode.d4.loss_dice: 0.7652, decode.d5.loss_cls: 0.2706, decode.d5.loss_mask: 0.5209, decode.d5.loss_dice: 0.7626, decode.d6.loss_cls: 0.2706, decode.d6.loss_mask: 0.5159, decode.d6.loss_dice: 0.7548, decode.d7.loss_cls: 0.2667, decode.d7.loss_mask: 0.5182, decode.d7.loss_dice: 0.7580, decode.d8.loss_cls: 0.2678, decode.d8.loss_mask: 0.5184, decode.d8.loss_dice: 0.7562, loss: 16.9332, grad_norm: 71.5830 2023-11-22 10:58:56,480 - mmseg - INFO - Iter [84200/160000] lr: 4.512e-06, eta: 12:21:19, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2433, decode.loss_mask: 0.5065, decode.loss_dice: 0.7367, decode.d0.loss_cls: 1.3494, decode.d0.loss_mask: 0.5452, decode.d0.loss_dice: 0.8286, decode.d1.loss_cls: 0.3378, decode.d1.loss_mask: 0.5236, decode.d1.loss_dice: 0.7823, decode.d2.loss_cls: 0.2847, decode.d2.loss_mask: 0.5151, decode.d2.loss_dice: 0.7587, decode.d3.loss_cls: 0.2607, decode.d3.loss_mask: 0.5092, decode.d3.loss_dice: 0.7402, decode.d4.loss_cls: 0.2588, decode.d4.loss_mask: 0.5106, decode.d4.loss_dice: 0.7381, decode.d5.loss_cls: 0.2547, decode.d5.loss_mask: 0.5068, decode.d5.loss_dice: 0.7380, decode.d6.loss_cls: 0.2464, decode.d6.loss_mask: 0.5052, decode.d6.loss_dice: 0.7376, decode.d7.loss_cls: 0.2510, decode.d7.loss_mask: 0.5048, decode.d7.loss_dice: 0.7387, decode.d8.loss_cls: 0.2451, decode.d8.loss_mask: 0.5065, decode.d8.loss_dice: 0.7400, loss: 16.4044, grad_norm: 69.1447 2023-11-22 10:59:25,035 - mmseg - INFO - Iter [84250/160000] lr: 4.509e-06, eta: 12:20:49, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2616, decode.loss_mask: 0.5169, decode.loss_dice: 0.7564, decode.d0.loss_cls: 1.3532, decode.d0.loss_mask: 0.5519, decode.d0.loss_dice: 0.8445, decode.d1.loss_cls: 0.3489, decode.d1.loss_mask: 0.5409, decode.d1.loss_dice: 0.8007, decode.d2.loss_cls: 0.2985, decode.d2.loss_mask: 0.5254, decode.d2.loss_dice: 0.7803, decode.d3.loss_cls: 0.2829, decode.d3.loss_mask: 0.5238, decode.d3.loss_dice: 0.7654, decode.d4.loss_cls: 0.2773, decode.d4.loss_mask: 0.5203, decode.d4.loss_dice: 0.7648, decode.d5.loss_cls: 0.2720, decode.d5.loss_mask: 0.5198, decode.d5.loss_dice: 0.7598, decode.d6.loss_cls: 0.2679, decode.d6.loss_mask: 0.5186, decode.d6.loss_dice: 0.7561, decode.d7.loss_cls: 0.2606, decode.d7.loss_mask: 0.5158, decode.d7.loss_dice: 0.7566, decode.d8.loss_cls: 0.2640, decode.d8.loss_mask: 0.5163, decode.d8.loss_dice: 0.7578, loss: 16.8791, grad_norm: 72.6236 2023-11-22 10:59:53,576 - mmseg - INFO - Iter [84300/160000] lr: 4.507e-06, eta: 12:20:19, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2726, decode.loss_mask: 0.4967, decode.loss_dice: 0.7509, decode.d0.loss_cls: 1.4162, decode.d0.loss_mask: 0.5383, decode.d0.loss_dice: 0.8436, decode.d1.loss_cls: 0.3573, decode.d1.loss_mask: 0.5197, decode.d1.loss_dice: 0.7979, decode.d2.loss_cls: 0.2986, decode.d2.loss_mask: 0.5120, decode.d2.loss_dice: 0.7797, decode.d3.loss_cls: 0.2867, decode.d3.loss_mask: 0.5052, decode.d3.loss_dice: 0.7623, decode.d4.loss_cls: 0.2853, decode.d4.loss_mask: 0.5025, decode.d4.loss_dice: 0.7657, decode.d5.loss_cls: 0.2785, decode.d5.loss_mask: 0.4999, decode.d5.loss_dice: 0.7570, decode.d6.loss_cls: 0.2764, decode.d6.loss_mask: 0.4988, decode.d6.loss_dice: 0.7553, decode.d7.loss_cls: 0.2708, decode.d7.loss_mask: 0.4975, decode.d7.loss_dice: 0.7586, decode.d8.loss_cls: 0.2715, decode.d8.loss_mask: 0.4983, decode.d8.loss_dice: 0.7547, loss: 16.8084, grad_norm: 67.4323 2023-11-22 11:00:22,015 - mmseg - INFO - Iter [84350/160000] lr: 4.504e-06, eta: 12:19:49, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2736, decode.loss_mask: 0.4973, decode.loss_dice: 0.7640, decode.d0.loss_cls: 1.4416, decode.d0.loss_mask: 0.5360, decode.d0.loss_dice: 0.8554, decode.d1.loss_cls: 0.3713, decode.d1.loss_mask: 0.5193, decode.d1.loss_dice: 0.8052, decode.d2.loss_cls: 0.3168, decode.d2.loss_mask: 0.5076, decode.d2.loss_dice: 0.7812, decode.d3.loss_cls: 0.2920, decode.d3.loss_mask: 0.4995, decode.d3.loss_dice: 0.7685, decode.d4.loss_cls: 0.2786, decode.d4.loss_mask: 0.4994, decode.d4.loss_dice: 0.7682, decode.d5.loss_cls: 0.2791, decode.d5.loss_mask: 0.5015, decode.d5.loss_dice: 0.7660, decode.d6.loss_cls: 0.2780, decode.d6.loss_mask: 0.4984, decode.d6.loss_dice: 0.7638, decode.d7.loss_cls: 0.2790, decode.d7.loss_mask: 0.4953, decode.d7.loss_dice: 0.7623, decode.d8.loss_cls: 0.2760, decode.d8.loss_mask: 0.4995, decode.d8.loss_dice: 0.7623, loss: 16.9368, grad_norm: 70.8573 2023-11-22 11:00:50,514 - mmseg - INFO - Iter [84400/160000] lr: 4.501e-06, eta: 12:19:19, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2566, decode.loss_mask: 0.4924, decode.loss_dice: 0.7529, decode.d0.loss_cls: 1.3513, decode.d0.loss_mask: 0.5309, decode.d0.loss_dice: 0.8434, decode.d1.loss_cls: 0.3305, decode.d1.loss_mask: 0.5144, decode.d1.loss_dice: 0.7870, decode.d2.loss_cls: 0.2872, decode.d2.loss_mask: 0.5023, decode.d2.loss_dice: 0.7755, decode.d3.loss_cls: 0.2707, decode.d3.loss_mask: 0.4975, decode.d3.loss_dice: 0.7592, decode.d4.loss_cls: 0.2638, decode.d4.loss_mask: 0.4952, decode.d4.loss_dice: 0.7609, decode.d5.loss_cls: 0.2595, decode.d5.loss_mask: 0.4947, decode.d5.loss_dice: 0.7608, decode.d6.loss_cls: 0.2620, decode.d6.loss_mask: 0.4909, decode.d6.loss_dice: 0.7527, decode.d7.loss_cls: 0.2578, decode.d7.loss_mask: 0.4933, decode.d7.loss_dice: 0.7534, decode.d8.loss_cls: 0.2552, decode.d8.loss_mask: 0.4921, decode.d8.loss_dice: 0.7554, loss: 16.4994, grad_norm: 72.5724 2023-11-22 11:01:18,860 - mmseg - INFO - Iter [84450/160000] lr: 4.498e-06, eta: 12:18:49, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2487, decode.loss_mask: 0.4878, decode.loss_dice: 0.7350, decode.d0.loss_cls: 1.3880, decode.d0.loss_mask: 0.5222, decode.d0.loss_dice: 0.8281, decode.d1.loss_cls: 0.3428, decode.d1.loss_mask: 0.5020, decode.d1.loss_dice: 0.7819, decode.d2.loss_cls: 0.2888, decode.d2.loss_mask: 0.4948, decode.d2.loss_dice: 0.7547, decode.d3.loss_cls: 0.2674, decode.d3.loss_mask: 0.4897, decode.d3.loss_dice: 0.7445, decode.d4.loss_cls: 0.2639, decode.d4.loss_mask: 0.4883, decode.d4.loss_dice: 0.7410, decode.d5.loss_cls: 0.2566, decode.d5.loss_mask: 0.4893, decode.d5.loss_dice: 0.7353, decode.d6.loss_cls: 0.2536, decode.d6.loss_mask: 0.4898, decode.d6.loss_dice: 0.7309, decode.d7.loss_cls: 0.2548, decode.d7.loss_mask: 0.4875, decode.d7.loss_dice: 0.7331, decode.d8.loss_cls: 0.2528, decode.d8.loss_mask: 0.4869, decode.d8.loss_dice: 0.7336, loss: 16.2737, grad_norm: 67.4820 2023-11-22 11:01:47,311 - mmseg - INFO - Iter [84500/160000] lr: 4.495e-06, eta: 12:18:18, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2528, decode.loss_mask: 0.4846, decode.loss_dice: 0.7375, decode.d0.loss_cls: 1.3484, decode.d0.loss_mask: 0.5181, decode.d0.loss_dice: 0.8307, decode.d1.loss_cls: 0.3441, decode.d1.loss_mask: 0.5018, decode.d1.loss_dice: 0.7838, decode.d2.loss_cls: 0.2876, decode.d2.loss_mask: 0.4934, decode.d2.loss_dice: 0.7598, decode.d3.loss_cls: 0.2721, decode.d3.loss_mask: 0.4874, decode.d3.loss_dice: 0.7444, decode.d4.loss_cls: 0.2600, decode.d4.loss_mask: 0.4894, decode.d4.loss_dice: 0.7451, decode.d5.loss_cls: 0.2598, decode.d5.loss_mask: 0.4878, decode.d5.loss_dice: 0.7452, decode.d6.loss_cls: 0.2601, decode.d6.loss_mask: 0.4841, decode.d6.loss_dice: 0.7392, decode.d7.loss_cls: 0.2545, decode.d7.loss_mask: 0.4832, decode.d7.loss_dice: 0.7399, decode.d8.loss_cls: 0.2529, decode.d8.loss_mask: 0.4841, decode.d8.loss_dice: 0.7453, loss: 16.2771, grad_norm: 70.2111 2023-11-22 11:02:16,055 - mmseg - INFO - Iter [84550/160000] lr: 4.492e-06, eta: 12:17:49, time: 0.575, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2729, decode.loss_mask: 0.5094, decode.loss_dice: 0.7685, decode.d0.loss_cls: 1.4002, decode.d0.loss_mask: 0.5467, decode.d0.loss_dice: 0.8623, decode.d1.loss_cls: 0.3685, decode.d1.loss_mask: 0.5270, decode.d1.loss_dice: 0.8182, decode.d2.loss_cls: 0.3088, decode.d2.loss_mask: 0.5188, decode.d2.loss_dice: 0.7937, decode.d3.loss_cls: 0.2899, decode.d3.loss_mask: 0.5160, decode.d3.loss_dice: 0.7756, decode.d4.loss_cls: 0.2863, decode.d4.loss_mask: 0.5140, decode.d4.loss_dice: 0.7749, decode.d5.loss_cls: 0.2809, decode.d5.loss_mask: 0.5116, decode.d5.loss_dice: 0.7722, decode.d6.loss_cls: 0.2737, decode.d6.loss_mask: 0.5107, decode.d6.loss_dice: 0.7680, decode.d7.loss_cls: 0.2767, decode.d7.loss_mask: 0.5090, decode.d7.loss_dice: 0.7680, decode.d8.loss_cls: 0.2746, decode.d8.loss_mask: 0.5102, decode.d8.loss_dice: 0.7698, loss: 17.0771, grad_norm: 72.4406 2023-11-22 11:02:44,358 - mmseg - INFO - Iter [84600/160000] lr: 4.489e-06, eta: 12:17:18, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2730, decode.loss_mask: 0.5108, decode.loss_dice: 0.7669, decode.d0.loss_cls: 1.3799, decode.d0.loss_mask: 0.5505, decode.d0.loss_dice: 0.8648, decode.d1.loss_cls: 0.3505, decode.d1.loss_mask: 0.5295, decode.d1.loss_dice: 0.8140, decode.d2.loss_cls: 0.3038, decode.d2.loss_mask: 0.5181, decode.d2.loss_dice: 0.7968, decode.d3.loss_cls: 0.2892, decode.d3.loss_mask: 0.5176, decode.d3.loss_dice: 0.7753, decode.d4.loss_cls: 0.2814, decode.d4.loss_mask: 0.5143, decode.d4.loss_dice: 0.7777, decode.d5.loss_cls: 0.2740, decode.d5.loss_mask: 0.5133, decode.d5.loss_dice: 0.7706, decode.d6.loss_cls: 0.2774, decode.d6.loss_mask: 0.5126, decode.d6.loss_dice: 0.7688, decode.d7.loss_cls: 0.2728, decode.d7.loss_mask: 0.5128, decode.d7.loss_dice: 0.7696, decode.d8.loss_cls: 0.2712, decode.d8.loss_mask: 0.5113, decode.d8.loss_dice: 0.7702, loss: 17.0386, grad_norm: 75.6448 2023-11-22 11:03:14,996 - mmseg - INFO - Iter [84650/160000] lr: 4.486e-06, eta: 12:16:50, time: 0.613, data_time: 0.057, memory: 38143, decode.loss_cls: 0.2578, decode.loss_mask: 0.5148, decode.loss_dice: 0.7655, decode.d0.loss_cls: 1.4208, decode.d0.loss_mask: 0.5510, decode.d0.loss_dice: 0.8656, decode.d1.loss_cls: 0.3493, decode.d1.loss_mask: 0.5376, decode.d1.loss_dice: 0.8080, decode.d2.loss_cls: 0.2998, decode.d2.loss_mask: 0.5265, decode.d2.loss_dice: 0.7929, decode.d3.loss_cls: 0.2856, decode.d3.loss_mask: 0.5184, decode.d3.loss_dice: 0.7740, decode.d4.loss_cls: 0.2767, decode.d4.loss_mask: 0.5159, decode.d4.loss_dice: 0.7765, decode.d5.loss_cls: 0.2701, decode.d5.loss_mask: 0.5167, decode.d5.loss_dice: 0.7703, decode.d6.loss_cls: 0.2660, decode.d6.loss_mask: 0.5121, decode.d6.loss_dice: 0.7702, decode.d7.loss_cls: 0.2604, decode.d7.loss_mask: 0.5139, decode.d7.loss_dice: 0.7711, decode.d8.loss_cls: 0.2622, decode.d8.loss_mask: 0.5135, decode.d8.loss_dice: 0.7708, loss: 17.0337, grad_norm: 75.8561 2023-11-22 11:03:43,366 - mmseg - INFO - Iter [84700/160000] lr: 4.483e-06, eta: 12:16:20, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2504, decode.loss_mask: 0.5217, decode.loss_dice: 0.7665, decode.d0.loss_cls: 1.3676, decode.d0.loss_mask: 0.5540, decode.d0.loss_dice: 0.8617, decode.d1.loss_cls: 0.3417, decode.d1.loss_mask: 0.5409, decode.d1.loss_dice: 0.8159, decode.d2.loss_cls: 0.2925, decode.d2.loss_mask: 0.5319, decode.d2.loss_dice: 0.7917, decode.d3.loss_cls: 0.2678, decode.d3.loss_mask: 0.5239, decode.d3.loss_dice: 0.7753, decode.d4.loss_cls: 0.2694, decode.d4.loss_mask: 0.5228, decode.d4.loss_dice: 0.7715, decode.d5.loss_cls: 0.2649, decode.d5.loss_mask: 0.5249, decode.d5.loss_dice: 0.7707, decode.d6.loss_cls: 0.2636, decode.d6.loss_mask: 0.5200, decode.d6.loss_dice: 0.7648, decode.d7.loss_cls: 0.2580, decode.d7.loss_mask: 0.5211, decode.d7.loss_dice: 0.7681, decode.d8.loss_cls: 0.2556, decode.d8.loss_mask: 0.5219, decode.d8.loss_dice: 0.7622, loss: 16.9630, grad_norm: 72.1950 2023-11-22 11:04:11,784 - mmseg - INFO - Iter [84750/160000] lr: 4.480e-06, eta: 12:15:50, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2755, decode.loss_mask: 0.5200, decode.loss_dice: 0.7382, decode.d0.loss_cls: 1.3429, decode.d0.loss_mask: 0.5573, decode.d0.loss_dice: 0.8425, decode.d1.loss_cls: 0.3602, decode.d1.loss_mask: 0.5399, decode.d1.loss_dice: 0.7937, decode.d2.loss_cls: 0.3085, decode.d2.loss_mask: 0.5325, decode.d2.loss_dice: 0.7650, decode.d3.loss_cls: 0.2901, decode.d3.loss_mask: 0.5239, decode.d3.loss_dice: 0.7533, decode.d4.loss_cls: 0.2887, decode.d4.loss_mask: 0.5217, decode.d4.loss_dice: 0.7512, decode.d5.loss_cls: 0.2801, decode.d5.loss_mask: 0.5238, decode.d5.loss_dice: 0.7454, decode.d6.loss_cls: 0.2742, decode.d6.loss_mask: 0.5209, decode.d6.loss_dice: 0.7459, decode.d7.loss_cls: 0.2733, decode.d7.loss_mask: 0.5202, decode.d7.loss_dice: 0.7425, decode.d8.loss_cls: 0.2712, decode.d8.loss_mask: 0.5200, decode.d8.loss_dice: 0.7442, loss: 16.8670, grad_norm: 77.8674 2023-11-22 11:04:40,252 - mmseg - INFO - Iter [84800/160000] lr: 4.477e-06, eta: 12:15:20, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2657, decode.loss_mask: 0.5072, decode.loss_dice: 0.7382, decode.d0.loss_cls: 1.3811, decode.d0.loss_mask: 0.5419, decode.d0.loss_dice: 0.8312, decode.d1.loss_cls: 0.3533, decode.d1.loss_mask: 0.5247, decode.d1.loss_dice: 0.7833, decode.d2.loss_cls: 0.2947, decode.d2.loss_mask: 0.5183, decode.d2.loss_dice: 0.7614, decode.d3.loss_cls: 0.2877, decode.d3.loss_mask: 0.5101, decode.d3.loss_dice: 0.7424, decode.d4.loss_cls: 0.2767, decode.d4.loss_mask: 0.5093, decode.d4.loss_dice: 0.7445, decode.d5.loss_cls: 0.2721, decode.d5.loss_mask: 0.5085, decode.d5.loss_dice: 0.7467, decode.d6.loss_cls: 0.2706, decode.d6.loss_mask: 0.5076, decode.d6.loss_dice: 0.7353, decode.d7.loss_cls: 0.2734, decode.d7.loss_mask: 0.5078, decode.d7.loss_dice: 0.7336, decode.d8.loss_cls: 0.2659, decode.d8.loss_mask: 0.5076, decode.d8.loss_dice: 0.7390, loss: 16.6400, grad_norm: 70.3485 2023-11-22 11:05:09,038 - mmseg - INFO - Iter [84850/160000] lr: 4.474e-06, eta: 12:14:50, time: 0.576, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2622, decode.loss_mask: 0.5165, decode.loss_dice: 0.7674, decode.d0.loss_cls: 1.3727, decode.d0.loss_mask: 0.5488, decode.d0.loss_dice: 0.8542, decode.d1.loss_cls: 0.3436, decode.d1.loss_mask: 0.5377, decode.d1.loss_dice: 0.8109, decode.d2.loss_cls: 0.2995, decode.d2.loss_mask: 0.5251, decode.d2.loss_dice: 0.7872, decode.d3.loss_cls: 0.2823, decode.d3.loss_mask: 0.5192, decode.d3.loss_dice: 0.7742, decode.d4.loss_cls: 0.2745, decode.d4.loss_mask: 0.5156, decode.d4.loss_dice: 0.7686, decode.d5.loss_cls: 0.2709, decode.d5.loss_mask: 0.5154, decode.d5.loss_dice: 0.7671, decode.d6.loss_cls: 0.2682, decode.d6.loss_mask: 0.5164, decode.d6.loss_dice: 0.7633, decode.d7.loss_cls: 0.2632, decode.d7.loss_mask: 0.5151, decode.d7.loss_dice: 0.7681, decode.d8.loss_cls: 0.2625, decode.d8.loss_mask: 0.5140, decode.d8.loss_dice: 0.7696, loss: 16.9540, grad_norm: 73.2174 2023-11-22 11:05:37,273 - mmseg - INFO - Iter [84900/160000] lr: 4.471e-06, eta: 12:14:20, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2614, decode.loss_mask: 0.5182, decode.loss_dice: 0.7484, decode.d0.loss_cls: 1.3662, decode.d0.loss_mask: 0.5549, decode.d0.loss_dice: 0.8418, decode.d1.loss_cls: 0.3557, decode.d1.loss_mask: 0.5362, decode.d1.loss_dice: 0.7868, decode.d2.loss_cls: 0.3020, decode.d2.loss_mask: 0.5273, decode.d2.loss_dice: 0.7679, decode.d3.loss_cls: 0.2744, decode.d3.loss_mask: 0.5248, decode.d3.loss_dice: 0.7605, decode.d4.loss_cls: 0.2716, decode.d4.loss_mask: 0.5219, decode.d4.loss_dice: 0.7544, decode.d5.loss_cls: 0.2640, decode.d5.loss_mask: 0.5217, decode.d5.loss_dice: 0.7570, decode.d6.loss_cls: 0.2612, decode.d6.loss_mask: 0.5198, decode.d6.loss_dice: 0.7530, decode.d7.loss_cls: 0.2544, decode.d7.loss_mask: 0.5201, decode.d7.loss_dice: 0.7516, decode.d8.loss_cls: 0.2573, decode.d8.loss_mask: 0.5185, decode.d8.loss_dice: 0.7482, loss: 16.8013, grad_norm: 75.5790 2023-11-22 11:06:05,683 - mmseg - INFO - Iter [84950/160000] lr: 4.468e-06, eta: 12:13:49, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2697, decode.loss_mask: 0.5026, decode.loss_dice: 0.7466, decode.d0.loss_cls: 1.3642, decode.d0.loss_mask: 0.5415, decode.d0.loss_dice: 0.8435, decode.d1.loss_cls: 0.3575, decode.d1.loss_mask: 0.5215, decode.d1.loss_dice: 0.7888, decode.d2.loss_cls: 0.2955, decode.d2.loss_mask: 0.5107, decode.d2.loss_dice: 0.7712, decode.d3.loss_cls: 0.2786, decode.d3.loss_mask: 0.5062, decode.d3.loss_dice: 0.7563, decode.d4.loss_cls: 0.2723, decode.d4.loss_mask: 0.5079, decode.d4.loss_dice: 0.7539, decode.d5.loss_cls: 0.2693, decode.d5.loss_mask: 0.5052, decode.d5.loss_dice: 0.7524, decode.d6.loss_cls: 0.2754, decode.d6.loss_mask: 0.5033, decode.d6.loss_dice: 0.7497, decode.d7.loss_cls: 0.2670, decode.d7.loss_mask: 0.5035, decode.d7.loss_dice: 0.7468, decode.d8.loss_cls: 0.2692, decode.d8.loss_mask: 0.5041, decode.d8.loss_dice: 0.7500, loss: 16.6841, grad_norm: 71.7890 2023-11-22 11:06:34,217 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 11:06:34,218 - mmseg - INFO - Iter [85000/160000] lr: 4.465e-06, eta: 12:13:19, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2643, decode.loss_mask: 0.4974, decode.loss_dice: 0.7476, decode.d0.loss_cls: 1.3937, decode.d0.loss_mask: 0.5368, decode.d0.loss_dice: 0.8348, decode.d1.loss_cls: 0.3631, decode.d1.loss_mask: 0.5171, decode.d1.loss_dice: 0.7945, decode.d2.loss_cls: 0.3028, decode.d2.loss_mask: 0.5090, decode.d2.loss_dice: 0.7716, decode.d3.loss_cls: 0.2816, decode.d3.loss_mask: 0.5031, decode.d3.loss_dice: 0.7541, decode.d4.loss_cls: 0.2791, decode.d4.loss_mask: 0.5036, decode.d4.loss_dice: 0.7502, decode.d5.loss_cls: 0.2742, decode.d5.loss_mask: 0.5008, decode.d5.loss_dice: 0.7468, decode.d6.loss_cls: 0.2675, decode.d6.loss_mask: 0.4981, decode.d6.loss_dice: 0.7491, decode.d7.loss_cls: 0.2619, decode.d7.loss_mask: 0.4984, decode.d7.loss_dice: 0.7466, decode.d8.loss_cls: 0.2621, decode.d8.loss_mask: 0.4989, decode.d8.loss_dice: 0.7468, loss: 16.6558, grad_norm: 67.3214 2023-11-22 11:07:02,820 - mmseg - INFO - Iter [85050/160000] lr: 4.462e-06, eta: 12:12:49, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2602, decode.loss_mask: 0.5006, decode.loss_dice: 0.7503, decode.d0.loss_cls: 1.3427, decode.d0.loss_mask: 0.5343, decode.d0.loss_dice: 0.8457, decode.d1.loss_cls: 0.3378, decode.d1.loss_mask: 0.5195, decode.d1.loss_dice: 0.7916, decode.d2.loss_cls: 0.2965, decode.d2.loss_mask: 0.5093, decode.d2.loss_dice: 0.7693, decode.d3.loss_cls: 0.2748, decode.d3.loss_mask: 0.5060, decode.d3.loss_dice: 0.7578, decode.d4.loss_cls: 0.2703, decode.d4.loss_mask: 0.5035, decode.d4.loss_dice: 0.7555, decode.d5.loss_cls: 0.2690, decode.d5.loss_mask: 0.5016, decode.d5.loss_dice: 0.7547, decode.d6.loss_cls: 0.2595, decode.d6.loss_mask: 0.5028, decode.d6.loss_dice: 0.7548, decode.d7.loss_cls: 0.2594, decode.d7.loss_mask: 0.5012, decode.d7.loss_dice: 0.7544, decode.d8.loss_cls: 0.2547, decode.d8.loss_mask: 0.5020, decode.d8.loss_dice: 0.7534, loss: 16.5933, grad_norm: 69.5812 2023-11-22 11:07:31,468 - mmseg - INFO - Iter [85100/160000] lr: 4.459e-06, eta: 12:12:19, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2583, decode.loss_mask: 0.4825, decode.loss_dice: 0.7362, decode.d0.loss_cls: 1.3871, decode.d0.loss_mask: 0.5202, decode.d0.loss_dice: 0.8298, decode.d1.loss_cls: 0.3545, decode.d1.loss_mask: 0.5014, decode.d1.loss_dice: 0.7832, decode.d2.loss_cls: 0.2983, decode.d2.loss_mask: 0.4920, decode.d2.loss_dice: 0.7588, decode.d3.loss_cls: 0.2843, decode.d3.loss_mask: 0.4863, decode.d3.loss_dice: 0.7372, decode.d4.loss_cls: 0.2722, decode.d4.loss_mask: 0.4872, decode.d4.loss_dice: 0.7444, decode.d5.loss_cls: 0.2649, decode.d5.loss_mask: 0.4874, decode.d5.loss_dice: 0.7393, decode.d6.loss_cls: 0.2647, decode.d6.loss_mask: 0.4845, decode.d6.loss_dice: 0.7340, decode.d7.loss_cls: 0.2604, decode.d7.loss_mask: 0.4851, decode.d7.loss_dice: 0.7420, decode.d8.loss_cls: 0.2604, decode.d8.loss_mask: 0.4846, decode.d8.loss_dice: 0.7370, loss: 16.3581, grad_norm: 73.1045 2023-11-22 11:08:00,540 - mmseg - INFO - Iter [85150/160000] lr: 4.456e-06, eta: 12:11:50, time: 0.581, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2661, decode.loss_mask: 0.5057, decode.loss_dice: 0.7534, decode.d0.loss_cls: 1.3843, decode.d0.loss_mask: 0.5454, decode.d0.loss_dice: 0.8468, decode.d1.loss_cls: 0.3429, decode.d1.loss_mask: 0.5264, decode.d1.loss_dice: 0.7973, decode.d2.loss_cls: 0.3075, decode.d2.loss_mask: 0.5134, decode.d2.loss_dice: 0.7711, decode.d3.loss_cls: 0.2814, decode.d3.loss_mask: 0.5091, decode.d3.loss_dice: 0.7614, decode.d4.loss_cls: 0.2812, decode.d4.loss_mask: 0.5067, decode.d4.loss_dice: 0.7590, decode.d5.loss_cls: 0.2798, decode.d5.loss_mask: 0.5040, decode.d5.loss_dice: 0.7561, decode.d6.loss_cls: 0.2724, decode.d6.loss_mask: 0.5074, decode.d6.loss_dice: 0.7550, decode.d7.loss_cls: 0.2678, decode.d7.loss_mask: 0.5046, decode.d7.loss_dice: 0.7545, decode.d8.loss_cls: 0.2739, decode.d8.loss_mask: 0.5026, decode.d8.loss_dice: 0.7537, loss: 16.7908, grad_norm: 72.2359 2023-11-22 11:08:31,677 - mmseg - INFO - Iter [85200/160000] lr: 4.453e-06, eta: 12:11:22, time: 0.623, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2667, decode.loss_mask: 0.4905, decode.loss_dice: 0.7585, decode.d0.loss_cls: 1.3705, decode.d0.loss_mask: 0.5232, decode.d0.loss_dice: 0.8586, decode.d1.loss_cls: 0.3480, decode.d1.loss_mask: 0.5093, decode.d1.loss_dice: 0.8053, decode.d2.loss_cls: 0.3008, decode.d2.loss_mask: 0.5010, decode.d2.loss_dice: 0.7826, decode.d3.loss_cls: 0.2867, decode.d3.loss_mask: 0.4969, decode.d3.loss_dice: 0.7674, decode.d4.loss_cls: 0.2839, decode.d4.loss_mask: 0.4941, decode.d4.loss_dice: 0.7692, decode.d5.loss_cls: 0.2731, decode.d5.loss_mask: 0.4921, decode.d5.loss_dice: 0.7636, decode.d6.loss_cls: 0.2750, decode.d6.loss_mask: 0.4913, decode.d6.loss_dice: 0.7539, decode.d7.loss_cls: 0.2699, decode.d7.loss_mask: 0.4907, decode.d7.loss_dice: 0.7602, decode.d8.loss_cls: 0.2690, decode.d8.loss_mask: 0.4889, decode.d8.loss_dice: 0.7624, loss: 16.7033, grad_norm: 71.3239 2023-11-22 11:09:01,014 - mmseg - INFO - Iter [85250/160000] lr: 4.450e-06, eta: 12:10:53, time: 0.587, data_time: 0.015, memory: 38143, decode.loss_cls: 0.2739, decode.loss_mask: 0.4997, decode.loss_dice: 0.7730, decode.d0.loss_cls: 1.3850, decode.d0.loss_mask: 0.5420, decode.d0.loss_dice: 0.8691, decode.d1.loss_cls: 0.3656, decode.d1.loss_mask: 0.5152, decode.d1.loss_dice: 0.8167, decode.d2.loss_cls: 0.3072, decode.d2.loss_mask: 0.5085, decode.d2.loss_dice: 0.7996, decode.d3.loss_cls: 0.2927, decode.d3.loss_mask: 0.5069, decode.d3.loss_dice: 0.7841, decode.d4.loss_cls: 0.2843, decode.d4.loss_mask: 0.5071, decode.d4.loss_dice: 0.7845, decode.d5.loss_cls: 0.2805, decode.d5.loss_mask: 0.5046, decode.d5.loss_dice: 0.7806, decode.d6.loss_cls: 0.2812, decode.d6.loss_mask: 0.5021, decode.d6.loss_dice: 0.7740, decode.d7.loss_cls: 0.2770, decode.d7.loss_mask: 0.5002, decode.d7.loss_dice: 0.7747, decode.d8.loss_cls: 0.2761, decode.d8.loss_mask: 0.5026, decode.d8.loss_dice: 0.7756, loss: 17.0440, grad_norm: 68.6729 2023-11-22 11:09:29,411 - mmseg - INFO - Iter [85300/160000] lr: 4.447e-06, eta: 12:10:23, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2656, decode.loss_mask: 0.4972, decode.loss_dice: 0.7407, decode.d0.loss_cls: 1.3856, decode.d0.loss_mask: 0.5322, decode.d0.loss_dice: 0.8340, decode.d1.loss_cls: 0.3591, decode.d1.loss_mask: 0.5213, decode.d1.loss_dice: 0.7795, decode.d2.loss_cls: 0.3046, decode.d2.loss_mask: 0.5076, decode.d2.loss_dice: 0.7625, decode.d3.loss_cls: 0.2770, decode.d3.loss_mask: 0.5017, decode.d3.loss_dice: 0.7538, decode.d4.loss_cls: 0.2744, decode.d4.loss_mask: 0.4995, decode.d4.loss_dice: 0.7485, decode.d5.loss_cls: 0.2754, decode.d5.loss_mask: 0.4997, decode.d5.loss_dice: 0.7439, decode.d6.loss_cls: 0.2741, decode.d6.loss_mask: 0.4981, decode.d6.loss_dice: 0.7369, decode.d7.loss_cls: 0.2663, decode.d7.loss_mask: 0.4976, decode.d7.loss_dice: 0.7406, decode.d8.loss_cls: 0.2661, decode.d8.loss_mask: 0.4966, decode.d8.loss_dice: 0.7445, loss: 16.5846, grad_norm: 69.6890 2023-11-22 11:09:58,646 - mmseg - INFO - Iter [85350/160000] lr: 4.444e-06, eta: 12:09:53, time: 0.585, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2646, decode.loss_mask: 0.4853, decode.loss_dice: 0.7421, decode.d0.loss_cls: 1.3947, decode.d0.loss_mask: 0.5225, decode.d0.loss_dice: 0.8414, decode.d1.loss_cls: 0.3560, decode.d1.loss_mask: 0.5016, decode.d1.loss_dice: 0.7814, decode.d2.loss_cls: 0.3016, decode.d2.loss_mask: 0.4935, decode.d2.loss_dice: 0.7643, decode.d3.loss_cls: 0.2838, decode.d3.loss_mask: 0.4905, decode.d3.loss_dice: 0.7544, decode.d4.loss_cls: 0.2720, decode.d4.loss_mask: 0.4890, decode.d4.loss_dice: 0.7526, decode.d5.loss_cls: 0.2684, decode.d5.loss_mask: 0.4894, decode.d5.loss_dice: 0.7496, decode.d6.loss_cls: 0.2682, decode.d6.loss_mask: 0.4868, decode.d6.loss_dice: 0.7456, decode.d7.loss_cls: 0.2654, decode.d7.loss_mask: 0.4859, decode.d7.loss_dice: 0.7471, decode.d8.loss_cls: 0.2612, decode.d8.loss_mask: 0.4856, decode.d8.loss_dice: 0.7477, loss: 16.4922, grad_norm: 64.3317 2023-11-22 11:10:28,066 - mmseg - INFO - Iter [85400/160000] lr: 4.441e-06, eta: 12:09:24, time: 0.588, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2874, decode.loss_mask: 0.5066, decode.loss_dice: 0.7510, decode.d0.loss_cls: 1.3998, decode.d0.loss_mask: 0.5416, decode.d0.loss_dice: 0.8489, decode.d1.loss_cls: 0.3821, decode.d1.loss_mask: 0.5234, decode.d1.loss_dice: 0.7988, decode.d2.loss_cls: 0.3330, decode.d2.loss_mask: 0.5156, decode.d2.loss_dice: 0.7714, decode.d3.loss_cls: 0.3083, decode.d3.loss_mask: 0.5102, decode.d3.loss_dice: 0.7602, decode.d4.loss_cls: 0.3010, decode.d4.loss_mask: 0.5099, decode.d4.loss_dice: 0.7615, decode.d5.loss_cls: 0.2929, decode.d5.loss_mask: 0.5111, decode.d5.loss_dice: 0.7562, decode.d6.loss_cls: 0.2900, decode.d6.loss_mask: 0.5096, decode.d6.loss_dice: 0.7537, decode.d7.loss_cls: 0.2913, decode.d7.loss_mask: 0.5096, decode.d7.loss_dice: 0.7498, decode.d8.loss_cls: 0.2880, decode.d8.loss_mask: 0.5067, decode.d8.loss_dice: 0.7517, loss: 17.0213, grad_norm: 72.8987 2023-11-22 11:10:57,075 - mmseg - INFO - Iter [85450/160000] lr: 4.438e-06, eta: 12:08:54, time: 0.580, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2377, decode.loss_mask: 0.4895, decode.loss_dice: 0.7306, decode.d0.loss_cls: 1.3499, decode.d0.loss_mask: 0.5241, decode.d0.loss_dice: 0.8152, decode.d1.loss_cls: 0.3210, decode.d1.loss_mask: 0.5082, decode.d1.loss_dice: 0.7681, decode.d2.loss_cls: 0.2715, decode.d2.loss_mask: 0.4979, decode.d2.loss_dice: 0.7498, decode.d3.loss_cls: 0.2619, decode.d3.loss_mask: 0.4922, decode.d3.loss_dice: 0.7388, decode.d4.loss_cls: 0.2549, decode.d4.loss_mask: 0.4934, decode.d4.loss_dice: 0.7370, decode.d5.loss_cls: 0.2507, decode.d5.loss_mask: 0.4916, decode.d5.loss_dice: 0.7371, decode.d6.loss_cls: 0.2432, decode.d6.loss_mask: 0.4908, decode.d6.loss_dice: 0.7350, decode.d7.loss_cls: 0.2397, decode.d7.loss_mask: 0.4908, decode.d7.loss_dice: 0.7302, decode.d8.loss_cls: 0.2457, decode.d8.loss_mask: 0.4899, decode.d8.loss_dice: 0.7301, loss: 16.1169, grad_norm: 66.6089 2023-11-22 11:11:25,595 - mmseg - INFO - Iter [85500/160000] lr: 4.435e-06, eta: 12:08:24, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2673, decode.loss_mask: 0.4847, decode.loss_dice: 0.7541, decode.d0.loss_cls: 1.4070, decode.d0.loss_mask: 0.5211, decode.d0.loss_dice: 0.8500, decode.d1.loss_cls: 0.3573, decode.d1.loss_mask: 0.5051, decode.d1.loss_dice: 0.8004, decode.d2.loss_cls: 0.3094, decode.d2.loss_mask: 0.4948, decode.d2.loss_dice: 0.7760, decode.d3.loss_cls: 0.2848, decode.d3.loss_mask: 0.4899, decode.d3.loss_dice: 0.7620, decode.d4.loss_cls: 0.2810, decode.d4.loss_mask: 0.4883, decode.d4.loss_dice: 0.7618, decode.d5.loss_cls: 0.2777, decode.d5.loss_mask: 0.4867, decode.d5.loss_dice: 0.7589, decode.d6.loss_cls: 0.2749, decode.d6.loss_mask: 0.4851, decode.d6.loss_dice: 0.7525, decode.d7.loss_cls: 0.2674, decode.d7.loss_mask: 0.4850, decode.d7.loss_dice: 0.7554, decode.d8.loss_cls: 0.2660, decode.d8.loss_mask: 0.4842, decode.d8.loss_dice: 0.7569, loss: 16.6457, grad_norm: 71.3836 2023-11-22 11:11:53,830 - mmseg - INFO - Iter [85550/160000] lr: 4.432e-06, eta: 12:07:54, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2662, decode.loss_mask: 0.4831, decode.loss_dice: 0.7438, decode.d0.loss_cls: 1.3699, decode.d0.loss_mask: 0.5168, decode.d0.loss_dice: 0.8366, decode.d1.loss_cls: 0.3467, decode.d1.loss_mask: 0.5017, decode.d1.loss_dice: 0.7853, decode.d2.loss_cls: 0.3012, decode.d2.loss_mask: 0.4901, decode.d2.loss_dice: 0.7657, decode.d3.loss_cls: 0.2886, decode.d3.loss_mask: 0.4817, decode.d3.loss_dice: 0.7511, decode.d4.loss_cls: 0.2746, decode.d4.loss_mask: 0.4839, decode.d4.loss_dice: 0.7514, decode.d5.loss_cls: 0.2723, decode.d5.loss_mask: 0.4827, decode.d5.loss_dice: 0.7473, decode.d6.loss_cls: 0.2690, decode.d6.loss_mask: 0.4838, decode.d6.loss_dice: 0.7437, decode.d7.loss_cls: 0.2707, decode.d7.loss_mask: 0.4825, decode.d7.loss_dice: 0.7432, decode.d8.loss_cls: 0.2677, decode.d8.loss_mask: 0.4820, decode.d8.loss_dice: 0.7447, loss: 16.4279, grad_norm: 68.7119 2023-11-22 11:12:22,187 - mmseg - INFO - Iter [85600/160000] lr: 4.429e-06, eta: 12:07:24, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2569, decode.loss_mask: 0.4827, decode.loss_dice: 0.7297, decode.d0.loss_cls: 1.3712, decode.d0.loss_mask: 0.5153, decode.d0.loss_dice: 0.8204, decode.d1.loss_cls: 0.3450, decode.d1.loss_mask: 0.5030, decode.d1.loss_dice: 0.7686, decode.d2.loss_cls: 0.2923, decode.d2.loss_mask: 0.4909, decode.d2.loss_dice: 0.7497, decode.d3.loss_cls: 0.2788, decode.d3.loss_mask: 0.4872, decode.d3.loss_dice: 0.7340, decode.d4.loss_cls: 0.2704, decode.d4.loss_mask: 0.4834, decode.d4.loss_dice: 0.7335, decode.d5.loss_cls: 0.2636, decode.d5.loss_mask: 0.4838, decode.d5.loss_dice: 0.7334, decode.d6.loss_cls: 0.2623, decode.d6.loss_mask: 0.4850, decode.d6.loss_dice: 0.7277, decode.d7.loss_cls: 0.2601, decode.d7.loss_mask: 0.4834, decode.d7.loss_dice: 0.7249, decode.d8.loss_cls: 0.2561, decode.d8.loss_mask: 0.4834, decode.d8.loss_dice: 0.7275, loss: 16.2040, grad_norm: 72.0483 2023-11-22 11:12:51,009 - mmseg - INFO - Iter [85650/160000] lr: 4.426e-06, eta: 12:06:54, time: 0.576, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2630, decode.loss_mask: 0.4871, decode.loss_dice: 0.7418, decode.d0.loss_cls: 1.4097, decode.d0.loss_mask: 0.5178, decode.d0.loss_dice: 0.8298, decode.d1.loss_cls: 0.3639, decode.d1.loss_mask: 0.5068, decode.d1.loss_dice: 0.7843, decode.d2.loss_cls: 0.3043, decode.d2.loss_mask: 0.4984, decode.d2.loss_dice: 0.7635, decode.d3.loss_cls: 0.2882, decode.d3.loss_mask: 0.4930, decode.d3.loss_dice: 0.7472, decode.d4.loss_cls: 0.2767, decode.d4.loss_mask: 0.4919, decode.d4.loss_dice: 0.7468, decode.d5.loss_cls: 0.2781, decode.d5.loss_mask: 0.4892, decode.d5.loss_dice: 0.7424, decode.d6.loss_cls: 0.2762, decode.d6.loss_mask: 0.4845, decode.d6.loss_dice: 0.7407, decode.d7.loss_cls: 0.2689, decode.d7.loss_mask: 0.4861, decode.d7.loss_dice: 0.7404, decode.d8.loss_cls: 0.2657, decode.d8.loss_mask: 0.4873, decode.d8.loss_dice: 0.7409, loss: 16.5147, grad_norm: 68.0321 2023-11-22 11:13:19,591 - mmseg - INFO - Iter [85700/160000] lr: 4.423e-06, eta: 12:06:24, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2571, decode.loss_mask: 0.4874, decode.loss_dice: 0.7415, decode.d0.loss_cls: 1.3857, decode.d0.loss_mask: 0.5154, decode.d0.loss_dice: 0.8281, decode.d1.loss_cls: 0.3440, decode.d1.loss_mask: 0.5030, decode.d1.loss_dice: 0.7689, decode.d2.loss_cls: 0.2832, decode.d2.loss_mask: 0.4941, decode.d2.loss_dice: 0.7629, decode.d3.loss_cls: 0.2691, decode.d3.loss_mask: 0.4896, decode.d3.loss_dice: 0.7403, decode.d4.loss_cls: 0.2581, decode.d4.loss_mask: 0.4890, decode.d4.loss_dice: 0.7450, decode.d5.loss_cls: 0.2577, decode.d5.loss_mask: 0.4870, decode.d5.loss_dice: 0.7456, decode.d6.loss_cls: 0.2607, decode.d6.loss_mask: 0.4865, decode.d6.loss_dice: 0.7432, decode.d7.loss_cls: 0.2593, decode.d7.loss_mask: 0.4878, decode.d7.loss_dice: 0.7400, decode.d8.loss_cls: 0.2570, decode.d8.loss_mask: 0.4877, decode.d8.loss_dice: 0.7422, loss: 16.3168, grad_norm: 69.3498 2023-11-22 11:13:48,390 - mmseg - INFO - Iter [85750/160000] lr: 4.420e-06, eta: 12:05:54, time: 0.576, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2550, decode.loss_mask: 0.4999, decode.loss_dice: 0.7420, decode.d0.loss_cls: 1.3836, decode.d0.loss_mask: 0.5370, decode.d0.loss_dice: 0.8333, decode.d1.loss_cls: 0.3403, decode.d1.loss_mask: 0.5240, decode.d1.loss_dice: 0.7885, decode.d2.loss_cls: 0.2906, decode.d2.loss_mask: 0.5119, decode.d2.loss_dice: 0.7674, decode.d3.loss_cls: 0.2733, decode.d3.loss_mask: 0.5043, decode.d3.loss_dice: 0.7457, decode.d4.loss_cls: 0.2649, decode.d4.loss_mask: 0.5013, decode.d4.loss_dice: 0.7486, decode.d5.loss_cls: 0.2613, decode.d5.loss_mask: 0.5004, decode.d5.loss_dice: 0.7450, decode.d6.loss_cls: 0.2618, decode.d6.loss_mask: 0.4989, decode.d6.loss_dice: 0.7385, decode.d7.loss_cls: 0.2573, decode.d7.loss_mask: 0.4993, decode.d7.loss_dice: 0.7396, decode.d8.loss_cls: 0.2554, decode.d8.loss_mask: 0.5006, decode.d8.loss_dice: 0.7432, loss: 16.5131, grad_norm: 76.0822 2023-11-22 11:14:16,910 - mmseg - INFO - Iter [85800/160000] lr: 4.417e-06, eta: 12:05:24, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2537, decode.loss_mask: 0.5028, decode.loss_dice: 0.7409, decode.d0.loss_cls: 1.3788, decode.d0.loss_mask: 0.5389, decode.d0.loss_dice: 0.8373, decode.d1.loss_cls: 0.3389, decode.d1.loss_mask: 0.5195, decode.d1.loss_dice: 0.7905, decode.d2.loss_cls: 0.2918, decode.d2.loss_mask: 0.5100, decode.d2.loss_dice: 0.7674, decode.d3.loss_cls: 0.2730, decode.d3.loss_mask: 0.5050, decode.d3.loss_dice: 0.7530, decode.d4.loss_cls: 0.2630, decode.d4.loss_mask: 0.5027, decode.d4.loss_dice: 0.7511, decode.d5.loss_cls: 0.2652, decode.d5.loss_mask: 0.5045, decode.d5.loss_dice: 0.7483, decode.d6.loss_cls: 0.2630, decode.d6.loss_mask: 0.5010, decode.d6.loss_dice: 0.7392, decode.d7.loss_cls: 0.2614, decode.d7.loss_mask: 0.5023, decode.d7.loss_dice: 0.7423, decode.d8.loss_cls: 0.2542, decode.d8.loss_mask: 0.5036, decode.d8.loss_dice: 0.7458, loss: 16.5490, grad_norm: 69.5011 2023-11-22 11:14:45,607 - mmseg - INFO - Iter [85850/160000] lr: 4.414e-06, eta: 12:04:54, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2696, decode.loss_mask: 0.5247, decode.loss_dice: 0.7797, decode.d0.loss_cls: 1.3687, decode.d0.loss_mask: 0.5624, decode.d0.loss_dice: 0.8772, decode.d1.loss_cls: 0.3683, decode.d1.loss_mask: 0.5455, decode.d1.loss_dice: 0.8331, decode.d2.loss_cls: 0.3129, decode.d2.loss_mask: 0.5355, decode.d2.loss_dice: 0.8032, decode.d3.loss_cls: 0.2956, decode.d3.loss_mask: 0.5274, decode.d3.loss_dice: 0.7807, decode.d4.loss_cls: 0.2807, decode.d4.loss_mask: 0.5288, decode.d4.loss_dice: 0.7851, decode.d5.loss_cls: 0.2772, decode.d5.loss_mask: 0.5285, decode.d5.loss_dice: 0.7843, decode.d6.loss_cls: 0.2761, decode.d6.loss_mask: 0.5234, decode.d6.loss_dice: 0.7787, decode.d7.loss_cls: 0.2672, decode.d7.loss_mask: 0.5253, decode.d7.loss_dice: 0.7793, decode.d8.loss_cls: 0.2682, decode.d8.loss_mask: 0.5232, decode.d8.loss_dice: 0.7799, loss: 17.2906, grad_norm: 75.3337 2023-11-22 11:15:16,532 - mmseg - INFO - Iter [85900/160000] lr: 4.411e-06, eta: 12:04:26, time: 0.619, data_time: 0.060, memory: 38143, decode.loss_cls: 0.2736, decode.loss_mask: 0.4973, decode.loss_dice: 0.7554, decode.d0.loss_cls: 1.3977, decode.d0.loss_mask: 0.5374, decode.d0.loss_dice: 0.8576, decode.d1.loss_cls: 0.3570, decode.d1.loss_mask: 0.5168, decode.d1.loss_dice: 0.7984, decode.d2.loss_cls: 0.3067, decode.d2.loss_mask: 0.5091, decode.d2.loss_dice: 0.7808, decode.d3.loss_cls: 0.2885, decode.d3.loss_mask: 0.5004, decode.d3.loss_dice: 0.7636, decode.d4.loss_cls: 0.2792, decode.d4.loss_mask: 0.4988, decode.d4.loss_dice: 0.7649, decode.d5.loss_cls: 0.2778, decode.d5.loss_mask: 0.4999, decode.d5.loss_dice: 0.7662, decode.d6.loss_cls: 0.2734, decode.d6.loss_mask: 0.5002, decode.d6.loss_dice: 0.7610, decode.d7.loss_cls: 0.2726, decode.d7.loss_mask: 0.4998, decode.d7.loss_dice: 0.7554, decode.d8.loss_cls: 0.2773, decode.d8.loss_mask: 0.4977, decode.d8.loss_dice: 0.7586, loss: 16.8231, grad_norm: 69.0037 2023-11-22 11:15:45,333 - mmseg - INFO - Iter [85950/160000] lr: 4.408e-06, eta: 12:03:57, time: 0.576, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2559, decode.loss_mask: 0.5040, decode.loss_dice: 0.7504, decode.d0.loss_cls: 1.3895, decode.d0.loss_mask: 0.5455, decode.d0.loss_dice: 0.8341, decode.d1.loss_cls: 0.3497, decode.d1.loss_mask: 0.5292, decode.d1.loss_dice: 0.8017, decode.d2.loss_cls: 0.2921, decode.d2.loss_mask: 0.5165, decode.d2.loss_dice: 0.7742, decode.d3.loss_cls: 0.2743, decode.d3.loss_mask: 0.5076, decode.d3.loss_dice: 0.7584, decode.d4.loss_cls: 0.2682, decode.d4.loss_mask: 0.5054, decode.d4.loss_dice: 0.7543, decode.d5.loss_cls: 0.2631, decode.d5.loss_mask: 0.5061, decode.d5.loss_dice: 0.7598, decode.d6.loss_cls: 0.2635, decode.d6.loss_mask: 0.5043, decode.d6.loss_dice: 0.7473, decode.d7.loss_cls: 0.2589, decode.d7.loss_mask: 0.5052, decode.d7.loss_dice: 0.7458, decode.d8.loss_cls: 0.2550, decode.d8.loss_mask: 0.5040, decode.d8.loss_dice: 0.7482, loss: 16.6720, grad_norm: 76.0124 2023-11-22 11:16:13,958 - mmseg - INFO - Saving checkpoint at 86000 iterations 2023-11-22 11:16:21,953 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 11:16:21,953 - mmseg - INFO - Iter [86000/160000] lr: 4.405e-06, eta: 12:03:34, time: 0.733, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2475, decode.loss_mask: 0.5087, decode.loss_dice: 0.7560, decode.d0.loss_cls: 1.3783, decode.d0.loss_mask: 0.5483, decode.d0.loss_dice: 0.8526, decode.d1.loss_cls: 0.3334, decode.d1.loss_mask: 0.5263, decode.d1.loss_dice: 0.8103, decode.d2.loss_cls: 0.2839, decode.d2.loss_mask: 0.5140, decode.d2.loss_dice: 0.7790, decode.d3.loss_cls: 0.2667, decode.d3.loss_mask: 0.5119, decode.d3.loss_dice: 0.7614, decode.d4.loss_cls: 0.2647, decode.d4.loss_mask: 0.5098, decode.d4.loss_dice: 0.7621, decode.d5.loss_cls: 0.2630, decode.d5.loss_mask: 0.5087, decode.d5.loss_dice: 0.7627, decode.d6.loss_cls: 0.2598, decode.d6.loss_mask: 0.5090, decode.d6.loss_dice: 0.7573, decode.d7.loss_cls: 0.2504, decode.d7.loss_mask: 0.5084, decode.d7.loss_dice: 0.7598, decode.d8.loss_cls: 0.2591, decode.d8.loss_mask: 0.5065, decode.d8.loss_dice: 0.7565, loss: 16.7159, grad_norm: 69.5571 2023-11-22 11:16:41,721 - mmseg - INFO - per class results: 2023-11-22 11:16:41,726 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.0 | 88.3 | | building | 83.3 | 89.47 | | sky | 94.98 | 97.62 | | floor | 83.86 | 91.28 | | tree | 76.08 | 88.47 | | ceiling | 85.68 | 92.72 | | road | 86.98 | 91.3 | | bed | 91.66 | 95.47 | | windowpane | 64.1 | 80.1 | | grass | 69.11 | 78.37 | | cabinet | 62.42 | 73.99 | | sidewalk | 67.96 | 82.19 | | person | 86.2 | 92.86 | | earth | 39.58 | 58.44 | | door | 53.75 | 69.01 | | table | 69.93 | 85.09 | | mountain | 59.01 | 74.84 | | plant | 54.08 | 67.67 | | curtain | 76.01 | 88.18 | | chair | 66.98 | 81.84 | | car | 88.07 | 95.21 | | water | 58.93 | 71.79 | | painting | 75.15 | 91.05 | | sofa | 78.93 | 87.64 | | shelf | 41.13 | 53.15 | | house | 45.9 | 82.82 | | sea | 62.79 | 90.78 | | mirror | 75.27 | 85.23 | | rug | 68.21 | 80.06 | | field | 37.69 | 66.66 | | armchair | 58.28 | 74.51 | | seat | 60.11 | 77.46 | | fence | 52.61 | 72.68 | | desk | 52.95 | 76.03 | | rock | 46.41 | 64.76 | | wardrobe | 45.91 | 68.75 | | lamp | 71.04 | 84.6 | | bathtub | 80.19 | 86.49 | | railing | 42.46 | 60.29 | | cushion | 64.82 | 72.64 | | base | 43.02 | 68.39 | | box | 33.84 | 44.8 | | column | 52.47 | 71.02 | | signboard | 43.5 | 62.05 | | chest of drawers | 44.53 | 70.09 | | counter | 34.46 | 42.68 | | sand | 43.09 | 61.31 | | sink | 82.58 | 87.84 | | skyscraper | 60.33 | 77.93 | | fireplace | 74.07 | 88.78 | | refrigerator | 86.33 | 94.11 | | grandstand | 47.59 | 73.42 | | path | 23.28 | 37.81 | | stairs | 35.48 | 40.46 | | runway | 72.08 | 90.72 | | case | 64.34 | 84.45 | | pool table | 94.09 | 97.4 | | pillow | 63.89 | 84.07 | | screen door | 75.94 | 82.46 | | stairway | 37.62 | 48.58 | | river | 23.23 | 37.54 | | bridge | 76.65 | 88.25 | | bookcase | 31.34 | 55.36 | | blind | 40.81 | 51.02 | | coffee table | 73.38 | 86.31 | | toilet | 91.41 | 93.89 | | flower | 47.62 | 67.83 | | book | 51.78 | 78.76 | | hill | 7.57 | 13.73 | | bench | 63.69 | 75.67 | | countertop | 60.36 | 79.34 | | stove | 86.93 | 90.69 | | palm | 53.59 | 81.33 | | kitchen island | 40.72 | 69.93 | | computer | 72.9 | 82.53 | | swivel chair | 54.02 | 76.59 | | boat | 37.18 | 57.27 | | bar | 54.59 | 68.71 | | arcade machine | 66.84 | 70.77 | | hovel | 29.29 | 49.37 | | bus | 85.15 | 97.1 | | towel | 77.19 | 89.85 | | light | 65.38 | 79.74 | | truck | 24.26 | 27.93 | | tower | 40.03 | 69.66 | | chandelier | 72.53 | 86.81 | | awning | 38.14 | 50.81 | | streetlight | 46.13 | 66.76 | | booth | 57.8 | 59.42 | | television receiver | 81.17 | 89.61 | | airplane | 74.94 | 80.4 | | dirt track | 28.96 | 42.2 | | apparel | 45.28 | 67.22 | | pole | 35.98 | 57.03 | | land | 4.21 | 5.55 | | bannister | 17.11 | 22.65 | | escalator | 22.58 | 25.29 | | ottoman | 54.24 | 72.89 | | bottle | 38.83 | 68.3 | | buffet | 38.46 | 46.32 | | poster | 32.14 | 41.32 | | stage | 23.97 | 42.93 | | van | 43.69 | 56.02 | | ship | 4.23 | 6.78 | | fountain | 21.54 | 21.87 | | conveyer belt | 53.33 | 89.13 | | canopy | 27.41 | 49.53 | | washer | 71.49 | 74.73 | | plaything | 39.04 | 54.54 | | swimming pool | 60.5 | 60.93 | | stool | 60.75 | 74.84 | | barrel | 48.32 | 98.09 | | basket | 42.28 | 56.42 | | waterfall | 67.27 | 93.52 | | tent | 95.2 | 98.08 | | bag | 27.67 | 39.8 | | minibike | 71.94 | 91.22 | | cradle | 85.24 | 97.32 | | oven | 24.33 | 67.98 | | ball | 30.56 | 33.61 | | food | 66.6 | 77.42 | | step | 25.63 | 43.43 | | tank | 62.68 | 65.79 | | trade name | 38.48 | 46.16 | | microwave | 42.23 | 46.56 | | pot | 54.23 | 67.2 | | animal | 64.29 | 65.69 | | bicycle | 57.76 | 85.19 | | lake | 0.0 | 0.0 | | dishwasher | 79.15 | 83.62 | | screen | 54.46 | 95.21 | | blanket | 41.63 | 56.15 | | sculpture | 75.55 | 89.42 | | hood | 75.58 | 94.02 | | sconce | 62.71 | 76.58 | | vase | 52.28 | 75.8 | | traffic light | 46.1 | 75.13 | | tray | 24.89 | 40.32 | | ashcan | 48.26 | 80.42 | | fan | 70.52 | 84.31 | | pier | 13.56 | 14.46 | | crt screen | 3.92 | 10.3 | | plate | 64.56 | 80.55 | | monitor | 1.55 | 1.95 | | bulletin board | 52.22 | 78.74 | | shower | 18.98 | 22.61 | | radiator | 68.55 | 83.79 | | glass | 25.32 | 28.61 | | clock | 55.43 | 71.16 | | flag | 73.89 | 83.09 | +---------------------+-------+-------+ 2023-11-22 11:16:41,726 - mmseg - INFO - Summary: 2023-11-22 11:16:41,726 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.86 | 54.24 | 68.47 | +-------+-------+-------+ 2023-11-22 11:16:41,727 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 11:16:41,727 - mmseg - INFO - Iter(val) [250] aAcc: 0.8486, mIoU: 0.5424, mAcc: 0.6847, IoU.wall: 0.8100, IoU.building: 0.8330, IoU.sky: 0.9498, IoU.floor: 0.8386, IoU.tree: 0.7608, IoU.ceiling: 0.8568, IoU.road: 0.8698, IoU.bed : 0.9166, IoU.windowpane: 0.6410, IoU.grass: 0.6911, IoU.cabinet: 0.6242, IoU.sidewalk: 0.6796, IoU.person: 0.8620, IoU.earth: 0.3958, IoU.door: 0.5375, IoU.table: 0.6993, IoU.mountain: 0.5901, IoU.plant: 0.5408, IoU.curtain: 0.7601, IoU.chair: 0.6698, IoU.car: 0.8807, IoU.water: 0.5893, IoU.painting: 0.7515, IoU.sofa: 0.7893, IoU.shelf: 0.4113, IoU.house: 0.4590, IoU.sea: 0.6279, IoU.mirror: 0.7527, IoU.rug: 0.6821, IoU.field: 0.3769, IoU.armchair: 0.5828, IoU.seat: 0.6011, IoU.fence: 0.5261, IoU.desk: 0.5295, IoU.rock: 0.4641, IoU.wardrobe: 0.4591, IoU.lamp: 0.7104, IoU.bathtub: 0.8019, IoU.railing: 0.4246, IoU.cushion: 0.6482, IoU.base: 0.4302, IoU.box: 0.3384, IoU.column: 0.5247, IoU.signboard: 0.4350, IoU.chest of drawers: 0.4453, IoU.counter: 0.3446, IoU.sand: 0.4309, IoU.sink: 0.8258, IoU.skyscraper: 0.6033, IoU.fireplace: 0.7407, IoU.refrigerator: 0.8633, IoU.grandstand: 0.4759, IoU.path: 0.2328, IoU.stairs: 0.3548, IoU.runway: 0.7208, IoU.case: 0.6434, IoU.pool table: 0.9409, IoU.pillow: 0.6389, IoU.screen door: 0.7594, IoU.stairway: 0.3762, IoU.river: 0.2323, IoU.bridge: 0.7665, IoU.bookcase: 0.3134, IoU.blind: 0.4081, IoU.coffee table: 0.7338, IoU.toilet: 0.9141, IoU.flower: 0.4762, IoU.book: 0.5178, IoU.hill: 0.0757, IoU.bench: 0.6369, IoU.countertop: 0.6036, IoU.stove: 0.8693, IoU.palm: 0.5359, IoU.kitchen island: 0.4072, IoU.computer: 0.7290, IoU.swivel chair: 0.5402, IoU.boat: 0.3718, IoU.bar: 0.5459, IoU.arcade machine: 0.6684, IoU.hovel: 0.2929, IoU.bus: 0.8515, IoU.towel: 0.7719, IoU.light: 0.6538, IoU.truck: 0.2426, IoU.tower: 0.4003, IoU.chandelier: 0.7253, IoU.awning: 0.3814, IoU.streetlight: 0.4613, IoU.booth: 0.5780, IoU.television receiver: 0.8117, IoU.airplane: 0.7494, IoU.dirt track: 0.2896, IoU.apparel: 0.4528, IoU.pole: 0.3598, IoU.land: 0.0421, IoU.bannister: 0.1711, IoU.escalator: 0.2258, IoU.ottoman: 0.5424, IoU.bottle: 0.3883, IoU.buffet: 0.3846, IoU.poster: 0.3214, IoU.stage: 0.2397, IoU.van: 0.4369, IoU.ship: 0.0423, IoU.fountain: 0.2154, IoU.conveyer belt: 0.5333, IoU.canopy: 0.2741, IoU.washer: 0.7149, IoU.plaything: 0.3904, IoU.swimming pool: 0.6050, IoU.stool: 0.6075, IoU.barrel: 0.4832, IoU.basket: 0.4228, IoU.waterfall: 0.6727, IoU.tent: 0.9520, IoU.bag: 0.2767, IoU.minibike: 0.7194, IoU.cradle: 0.8524, IoU.oven: 0.2433, IoU.ball: 0.3056, IoU.food: 0.6660, IoU.step: 0.2563, IoU.tank: 0.6268, IoU.trade name: 0.3848, IoU.microwave: 0.4223, IoU.pot: 0.5423, IoU.animal: 0.6429, IoU.bicycle: 0.5776, IoU.lake: 0.0000, IoU.dishwasher: 0.7915, IoU.screen: 0.5446, IoU.blanket: 0.4163, IoU.sculpture: 0.7555, IoU.hood: 0.7558, IoU.sconce: 0.6271, IoU.vase: 0.5228, IoU.traffic light: 0.4610, IoU.tray: 0.2489, IoU.ashcan: 0.4826, IoU.fan: 0.7052, IoU.pier: 0.1356, IoU.crt screen: 0.0392, IoU.plate: 0.6456, IoU.monitor: 0.0155, IoU.bulletin board: 0.5222, IoU.shower: 0.1898, IoU.radiator: 0.6855, IoU.glass: 0.2532, IoU.clock: 0.5543, IoU.flag: 0.7389, Acc.wall: 0.8830, Acc.building: 0.8947, Acc.sky: 0.9762, Acc.floor: 0.9128, Acc.tree: 0.8847, Acc.ceiling: 0.9272, Acc.road: 0.9130, Acc.bed : 0.9547, Acc.windowpane: 0.8010, Acc.grass: 0.7837, Acc.cabinet: 0.7399, Acc.sidewalk: 0.8219, Acc.person: 0.9286, Acc.earth: 0.5844, Acc.door: 0.6901, Acc.table: 0.8509, Acc.mountain: 0.7484, Acc.plant: 0.6767, Acc.curtain: 0.8818, Acc.chair: 0.8184, Acc.car: 0.9521, Acc.water: 0.7179, Acc.painting: 0.9105, Acc.sofa: 0.8764, Acc.shelf: 0.5315, Acc.house: 0.8282, Acc.sea: 0.9078, Acc.mirror: 0.8523, Acc.rug: 0.8006, Acc.field: 0.6666, Acc.armchair: 0.7451, Acc.seat: 0.7746, Acc.fence: 0.7268, Acc.desk: 0.7603, Acc.rock: 0.6476, Acc.wardrobe: 0.6875, Acc.lamp: 0.8460, Acc.bathtub: 0.8649, Acc.railing: 0.6029, Acc.cushion: 0.7264, Acc.base: 0.6839, Acc.box: 0.4480, Acc.column: 0.7102, Acc.signboard: 0.6205, Acc.chest of drawers: 0.7009, Acc.counter: 0.4268, Acc.sand: 0.6131, Acc.sink: 0.8784, Acc.skyscraper: 0.7793, Acc.fireplace: 0.8878, Acc.refrigerator: 0.9411, Acc.grandstand: 0.7342, Acc.path: 0.3781, Acc.stairs: 0.4046, Acc.runway: 0.9072, Acc.case: 0.8445, Acc.pool table: 0.9740, Acc.pillow: 0.8407, Acc.screen door: 0.8246, Acc.stairway: 0.4858, Acc.river: 0.3754, Acc.bridge: 0.8825, Acc.bookcase: 0.5536, Acc.blind: 0.5102, Acc.coffee table: 0.8631, Acc.toilet: 0.9389, Acc.flower: 0.6783, Acc.book: 0.7876, Acc.hill: 0.1373, Acc.bench: 0.7567, Acc.countertop: 0.7934, Acc.stove: 0.9069, Acc.palm: 0.8133, Acc.kitchen island: 0.6993, Acc.computer: 0.8253, Acc.swivel chair: 0.7659, Acc.boat: 0.5727, Acc.bar: 0.6871, Acc.arcade machine: 0.7077, Acc.hovel: 0.4937, Acc.bus: 0.9710, Acc.towel: 0.8985, Acc.light: 0.7974, Acc.truck: 0.2793, Acc.tower: 0.6966, Acc.chandelier: 0.8681, Acc.awning: 0.5081, Acc.streetlight: 0.6676, Acc.booth: 0.5942, Acc.television receiver: 0.8961, Acc.airplane: 0.8040, Acc.dirt track: 0.4220, Acc.apparel: 0.6722, Acc.pole: 0.5703, Acc.land: 0.0555, Acc.bannister: 0.2265, Acc.escalator: 0.2529, Acc.ottoman: 0.7289, Acc.bottle: 0.6830, Acc.buffet: 0.4632, Acc.poster: 0.4132, Acc.stage: 0.4293, Acc.van: 0.5602, Acc.ship: 0.0678, Acc.fountain: 0.2187, Acc.conveyer belt: 0.8913, Acc.canopy: 0.4953, Acc.washer: 0.7473, Acc.plaything: 0.5454, Acc.swimming pool: 0.6093, Acc.stool: 0.7484, Acc.barrel: 0.9809, Acc.basket: 0.5642, Acc.waterfall: 0.9352, Acc.tent: 0.9808, Acc.bag: 0.3980, Acc.minibike: 0.9122, Acc.cradle: 0.9732, Acc.oven: 0.6798, Acc.ball: 0.3361, Acc.food: 0.7742, Acc.step: 0.4343, Acc.tank: 0.6579, Acc.trade name: 0.4616, Acc.microwave: 0.4656, Acc.pot: 0.6720, Acc.animal: 0.6569, Acc.bicycle: 0.8519, Acc.lake: 0.0000, Acc.dishwasher: 0.8362, Acc.screen: 0.9521, Acc.blanket: 0.5615, Acc.sculpture: 0.8942, Acc.hood: 0.9402, Acc.sconce: 0.7658, Acc.vase: 0.7580, Acc.traffic light: 0.7513, Acc.tray: 0.4032, Acc.ashcan: 0.8042, Acc.fan: 0.8431, Acc.pier: 0.1446, Acc.crt screen: 0.1030, Acc.plate: 0.8055, Acc.monitor: 0.0195, Acc.bulletin board: 0.7874, Acc.shower: 0.2261, Acc.radiator: 0.8379, Acc.glass: 0.2861, Acc.clock: 0.7116, Acc.flag: 0.8309 2023-11-22 11:17:10,200 - mmseg - INFO - Iter [86050/160000] lr: 4.402e-06, eta: 12:03:20, time: 0.965, data_time: 0.408, memory: 38143, decode.loss_cls: 0.2686, decode.loss_mask: 0.4995, decode.loss_dice: 0.7530, decode.d0.loss_cls: 1.3757, decode.d0.loss_mask: 0.5385, decode.d0.loss_dice: 0.8377, decode.d1.loss_cls: 0.3456, decode.d1.loss_mask: 0.5194, decode.d1.loss_dice: 0.7860, decode.d2.loss_cls: 0.2989, decode.d2.loss_mask: 0.5114, decode.d2.loss_dice: 0.7708, decode.d3.loss_cls: 0.2842, decode.d3.loss_mask: 0.5052, decode.d3.loss_dice: 0.7562, decode.d4.loss_cls: 0.2813, decode.d4.loss_mask: 0.5028, decode.d4.loss_dice: 0.7579, decode.d5.loss_cls: 0.2775, decode.d5.loss_mask: 0.5032, decode.d5.loss_dice: 0.7506, decode.d6.loss_cls: 0.2703, decode.d6.loss_mask: 0.5014, decode.d6.loss_dice: 0.7529, decode.d7.loss_cls: 0.2706, decode.d7.loss_mask: 0.5000, decode.d7.loss_dice: 0.7487, decode.d8.loss_cls: 0.2688, decode.d8.loss_mask: 0.5002, decode.d8.loss_dice: 0.7520, loss: 16.6891, grad_norm: 71.0835 2023-11-22 11:17:38,799 - mmseg - INFO - Iter [86100/160000] lr: 4.399e-06, eta: 12:02:51, time: 0.572, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2568, decode.loss_mask: 0.4973, decode.loss_dice: 0.7289, decode.d0.loss_cls: 1.4107, decode.d0.loss_mask: 0.5347, decode.d0.loss_dice: 0.8149, decode.d1.loss_cls: 0.3438, decode.d1.loss_mask: 0.5190, decode.d1.loss_dice: 0.7758, decode.d2.loss_cls: 0.3032, decode.d2.loss_mask: 0.5057, decode.d2.loss_dice: 0.7497, decode.d3.loss_cls: 0.2732, decode.d3.loss_mask: 0.5010, decode.d3.loss_dice: 0.7370, decode.d4.loss_cls: 0.2648, decode.d4.loss_mask: 0.4969, decode.d4.loss_dice: 0.7347, decode.d5.loss_cls: 0.2588, decode.d5.loss_mask: 0.4986, decode.d5.loss_dice: 0.7312, decode.d6.loss_cls: 0.2577, decode.d6.loss_mask: 0.4971, decode.d6.loss_dice: 0.7212, decode.d7.loss_cls: 0.2543, decode.d7.loss_mask: 0.4982, decode.d7.loss_dice: 0.7264, decode.d8.loss_cls: 0.2499, decode.d8.loss_mask: 0.4986, decode.d8.loss_dice: 0.7254, loss: 16.3655, grad_norm: 69.8320 2023-11-22 11:18:07,092 - mmseg - INFO - Iter [86150/160000] lr: 4.396e-06, eta: 12:02:20, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2554, decode.loss_mask: 0.4972, decode.loss_dice: 0.7495, decode.d0.loss_cls: 1.3735, decode.d0.loss_mask: 0.5320, decode.d0.loss_dice: 0.8319, decode.d1.loss_cls: 0.3478, decode.d1.loss_mask: 0.5161, decode.d1.loss_dice: 0.7890, decode.d2.loss_cls: 0.3007, decode.d2.loss_mask: 0.5064, decode.d2.loss_dice: 0.7700, decode.d3.loss_cls: 0.2791, decode.d3.loss_mask: 0.5040, decode.d3.loss_dice: 0.7597, decode.d4.loss_cls: 0.2683, decode.d4.loss_mask: 0.5026, decode.d4.loss_dice: 0.7533, decode.d5.loss_cls: 0.2658, decode.d5.loss_mask: 0.5006, decode.d5.loss_dice: 0.7532, decode.d6.loss_cls: 0.2602, decode.d6.loss_mask: 0.5010, decode.d6.loss_dice: 0.7430, decode.d7.loss_cls: 0.2578, decode.d7.loss_mask: 0.5013, decode.d7.loss_dice: 0.7466, decode.d8.loss_cls: 0.2586, decode.d8.loss_mask: 0.5002, decode.d8.loss_dice: 0.7528, loss: 16.5774, grad_norm: 70.4630 2023-11-22 11:18:35,495 - mmseg - INFO - Iter [86200/160000] lr: 4.393e-06, eta: 12:01:50, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2521, decode.loss_mask: 0.4986, decode.loss_dice: 0.7348, decode.d0.loss_cls: 1.4026, decode.d0.loss_mask: 0.5341, decode.d0.loss_dice: 0.8284, decode.d1.loss_cls: 0.3479, decode.d1.loss_mask: 0.5202, decode.d1.loss_dice: 0.7865, decode.d2.loss_cls: 0.2893, decode.d2.loss_mask: 0.5076, decode.d2.loss_dice: 0.7635, decode.d3.loss_cls: 0.2732, decode.d3.loss_mask: 0.5019, decode.d3.loss_dice: 0.7404, decode.d4.loss_cls: 0.2649, decode.d4.loss_mask: 0.4983, decode.d4.loss_dice: 0.7427, decode.d5.loss_cls: 0.2602, decode.d5.loss_mask: 0.5001, decode.d5.loss_dice: 0.7445, decode.d6.loss_cls: 0.2578, decode.d6.loss_mask: 0.4962, decode.d6.loss_dice: 0.7395, decode.d7.loss_cls: 0.2602, decode.d7.loss_mask: 0.4984, decode.d7.loss_dice: 0.7370, decode.d8.loss_cls: 0.2507, decode.d8.loss_mask: 0.4988, decode.d8.loss_dice: 0.7349, loss: 16.4653, grad_norm: 66.1976 2023-11-22 11:19:04,121 - mmseg - INFO - Iter [86250/160000] lr: 4.390e-06, eta: 12:01:20, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2556, decode.loss_mask: 0.4941, decode.loss_dice: 0.7557, decode.d0.loss_cls: 1.3828, decode.d0.loss_mask: 0.5295, decode.d0.loss_dice: 0.8417, decode.d1.loss_cls: 0.3388, decode.d1.loss_mask: 0.5157, decode.d1.loss_dice: 0.7877, decode.d2.loss_cls: 0.2993, decode.d2.loss_mask: 0.5069, decode.d2.loss_dice: 0.7708, decode.d3.loss_cls: 0.2736, decode.d3.loss_mask: 0.5015, decode.d3.loss_dice: 0.7620, decode.d4.loss_cls: 0.2725, decode.d4.loss_mask: 0.4963, decode.d4.loss_dice: 0.7614, decode.d5.loss_cls: 0.2657, decode.d5.loss_mask: 0.4950, decode.d5.loss_dice: 0.7603, decode.d6.loss_cls: 0.2567, decode.d6.loss_mask: 0.4933, decode.d6.loss_dice: 0.7539, decode.d7.loss_cls: 0.2590, decode.d7.loss_mask: 0.4929, decode.d7.loss_dice: 0.7533, decode.d8.loss_cls: 0.2585, decode.d8.loss_mask: 0.4941, decode.d8.loss_dice: 0.7552, loss: 16.5836, grad_norm: 73.1351 2023-11-22 11:19:33,067 - mmseg - INFO - Iter [86300/160000] lr: 4.387e-06, eta: 12:00:50, time: 0.579, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2647, decode.loss_mask: 0.5146, decode.loss_dice: 0.7525, decode.d0.loss_cls: 1.3644, decode.d0.loss_mask: 0.5477, decode.d0.loss_dice: 0.8508, decode.d1.loss_cls: 0.3622, decode.d1.loss_mask: 0.5307, decode.d1.loss_dice: 0.7942, decode.d2.loss_cls: 0.3067, decode.d2.loss_mask: 0.5197, decode.d2.loss_dice: 0.7718, decode.d3.loss_cls: 0.2874, decode.d3.loss_mask: 0.5156, decode.d3.loss_dice: 0.7557, decode.d4.loss_cls: 0.2791, decode.d4.loss_mask: 0.5151, decode.d4.loss_dice: 0.7553, decode.d5.loss_cls: 0.2743, decode.d5.loss_mask: 0.5177, decode.d5.loss_dice: 0.7570, decode.d6.loss_cls: 0.2669, decode.d6.loss_mask: 0.5184, decode.d6.loss_dice: 0.7534, decode.d7.loss_cls: 0.2637, decode.d7.loss_mask: 0.5150, decode.d7.loss_dice: 0.7540, decode.d8.loss_cls: 0.2584, decode.d8.loss_mask: 0.5149, decode.d8.loss_dice: 0.7573, loss: 16.8389, grad_norm: 73.9460 2023-11-22 11:20:01,666 - mmseg - INFO - Iter [86350/160000] lr: 4.384e-06, eta: 12:00:20, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2533, decode.loss_mask: 0.5053, decode.loss_dice: 0.7454, decode.d0.loss_cls: 1.3548, decode.d0.loss_mask: 0.5470, decode.d0.loss_dice: 0.8452, decode.d1.loss_cls: 0.3368, decode.d1.loss_mask: 0.5262, decode.d1.loss_dice: 0.7948, decode.d2.loss_cls: 0.2949, decode.d2.loss_mask: 0.5161, decode.d2.loss_dice: 0.7787, decode.d3.loss_cls: 0.2704, decode.d3.loss_mask: 0.5107, decode.d3.loss_dice: 0.7599, decode.d4.loss_cls: 0.2651, decode.d4.loss_mask: 0.5080, decode.d4.loss_dice: 0.7581, decode.d5.loss_cls: 0.2580, decode.d5.loss_mask: 0.5074, decode.d5.loss_dice: 0.7564, decode.d6.loss_cls: 0.2594, decode.d6.loss_mask: 0.5064, decode.d6.loss_dice: 0.7490, decode.d7.loss_cls: 0.2572, decode.d7.loss_mask: 0.5063, decode.d7.loss_dice: 0.7490, decode.d8.loss_cls: 0.2536, decode.d8.loss_mask: 0.5066, decode.d8.loss_dice: 0.7528, loss: 16.6332, grad_norm: 66.2127 2023-11-22 11:20:30,002 - mmseg - INFO - Iter [86400/160000] lr: 4.381e-06, eta: 11:59:50, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2420, decode.loss_mask: 0.4824, decode.loss_dice: 0.7280, decode.d0.loss_cls: 1.3554, decode.d0.loss_mask: 0.5177, decode.d0.loss_dice: 0.8072, decode.d1.loss_cls: 0.3275, decode.d1.loss_mask: 0.5022, decode.d1.loss_dice: 0.7685, decode.d2.loss_cls: 0.2780, decode.d2.loss_mask: 0.4919, decode.d2.loss_dice: 0.7411, decode.d3.loss_cls: 0.2582, decode.d3.loss_mask: 0.4863, decode.d3.loss_dice: 0.7371, decode.d4.loss_cls: 0.2511, decode.d4.loss_mask: 0.4852, decode.d4.loss_dice: 0.7339, decode.d5.loss_cls: 0.2471, decode.d5.loss_mask: 0.4839, decode.d5.loss_dice: 0.7339, decode.d6.loss_cls: 0.2456, decode.d6.loss_mask: 0.4819, decode.d6.loss_dice: 0.7255, decode.d7.loss_cls: 0.2408, decode.d7.loss_mask: 0.4808, decode.d7.loss_dice: 0.7254, decode.d8.loss_cls: 0.2340, decode.d8.loss_mask: 0.4837, decode.d8.loss_dice: 0.7273, loss: 16.0036, grad_norm: 69.3553 2023-11-22 11:20:58,494 - mmseg - INFO - Iter [86450/160000] lr: 4.379e-06, eta: 11:59:20, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2540, decode.loss_mask: 0.4730, decode.loss_dice: 0.7186, decode.d0.loss_cls: 1.3939, decode.d0.loss_mask: 0.5129, decode.d0.loss_dice: 0.8126, decode.d1.loss_cls: 0.3440, decode.d1.loss_mask: 0.4932, decode.d1.loss_dice: 0.7627, decode.d2.loss_cls: 0.2932, decode.d2.loss_mask: 0.4832, decode.d2.loss_dice: 0.7424, decode.d3.loss_cls: 0.2749, decode.d3.loss_mask: 0.4786, decode.d3.loss_dice: 0.7273, decode.d4.loss_cls: 0.2665, decode.d4.loss_mask: 0.4774, decode.d4.loss_dice: 0.7266, decode.d5.loss_cls: 0.2630, decode.d5.loss_mask: 0.4774, decode.d5.loss_dice: 0.7247, decode.d6.loss_cls: 0.2575, decode.d6.loss_mask: 0.4748, decode.d6.loss_dice: 0.7237, decode.d7.loss_cls: 0.2592, decode.d7.loss_mask: 0.4747, decode.d7.loss_dice: 0.7221, decode.d8.loss_cls: 0.2520, decode.d8.loss_mask: 0.4740, decode.d8.loss_dice: 0.7230, loss: 16.0612, grad_norm: 67.6674 2023-11-22 11:21:26,871 - mmseg - INFO - Iter [86500/160000] lr: 4.376e-06, eta: 11:58:50, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2446, decode.loss_mask: 0.4891, decode.loss_dice: 0.7323, decode.d0.loss_cls: 1.3640, decode.d0.loss_mask: 0.5265, decode.d0.loss_dice: 0.8273, decode.d1.loss_cls: 0.3368, decode.d1.loss_mask: 0.5110, decode.d1.loss_dice: 0.7792, decode.d2.loss_cls: 0.2861, decode.d2.loss_mask: 0.5005, decode.d2.loss_dice: 0.7575, decode.d3.loss_cls: 0.2673, decode.d3.loss_mask: 0.4943, decode.d3.loss_dice: 0.7429, decode.d4.loss_cls: 0.2588, decode.d4.loss_mask: 0.4931, decode.d4.loss_dice: 0.7441, decode.d5.loss_cls: 0.2517, decode.d5.loss_mask: 0.4899, decode.d5.loss_dice: 0.7414, decode.d6.loss_cls: 0.2475, decode.d6.loss_mask: 0.4883, decode.d6.loss_dice: 0.7367, decode.d7.loss_cls: 0.2459, decode.d7.loss_mask: 0.4877, decode.d7.loss_dice: 0.7370, decode.d8.loss_cls: 0.2422, decode.d8.loss_mask: 0.4886, decode.d8.loss_dice: 0.7349, loss: 16.2471, grad_norm: 71.4391 2023-11-22 11:21:55,325 - mmseg - INFO - Iter [86550/160000] lr: 4.373e-06, eta: 11:58:20, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2528, decode.loss_mask: 0.5092, decode.loss_dice: 0.7312, decode.d0.loss_cls: 1.3554, decode.d0.loss_mask: 0.5495, decode.d0.loss_dice: 0.8178, decode.d1.loss_cls: 0.3230, decode.d1.loss_mask: 0.5335, decode.d1.loss_dice: 0.7804, decode.d2.loss_cls: 0.2844, decode.d2.loss_mask: 0.5195, decode.d2.loss_dice: 0.7541, decode.d3.loss_cls: 0.2688, decode.d3.loss_mask: 0.5140, decode.d3.loss_dice: 0.7336, decode.d4.loss_cls: 0.2638, decode.d4.loss_mask: 0.5139, decode.d4.loss_dice: 0.7328, decode.d5.loss_cls: 0.2592, decode.d5.loss_mask: 0.5127, decode.d5.loss_dice: 0.7387, decode.d6.loss_cls: 0.2569, decode.d6.loss_mask: 0.5093, decode.d6.loss_dice: 0.7310, decode.d7.loss_cls: 0.2549, decode.d7.loss_mask: 0.5122, decode.d7.loss_dice: 0.7342, decode.d8.loss_cls: 0.2529, decode.d8.loss_mask: 0.5116, decode.d8.loss_dice: 0.7353, loss: 16.4465, grad_norm: 69.3397 2023-11-22 11:22:24,064 - mmseg - INFO - Iter [86600/160000] lr: 4.370e-06, eta: 11:57:50, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2628, decode.loss_mask: 0.4921, decode.loss_dice: 0.7384, decode.d0.loss_cls: 1.3821, decode.d0.loss_mask: 0.5296, decode.d0.loss_dice: 0.8316, decode.d1.loss_cls: 0.3507, decode.d1.loss_mask: 0.5102, decode.d1.loss_dice: 0.7820, decode.d2.loss_cls: 0.2993, decode.d2.loss_mask: 0.5007, decode.d2.loss_dice: 0.7611, decode.d3.loss_cls: 0.2824, decode.d3.loss_mask: 0.4950, decode.d3.loss_dice: 0.7465, decode.d4.loss_cls: 0.2788, decode.d4.loss_mask: 0.4943, decode.d4.loss_dice: 0.7473, decode.d5.loss_cls: 0.2737, decode.d5.loss_mask: 0.4939, decode.d5.loss_dice: 0.7454, decode.d6.loss_cls: 0.2707, decode.d6.loss_mask: 0.4917, decode.d6.loss_dice: 0.7388, decode.d7.loss_cls: 0.2725, decode.d7.loss_mask: 0.4907, decode.d7.loss_dice: 0.7348, decode.d8.loss_cls: 0.2718, decode.d8.loss_mask: 0.4927, decode.d8.loss_dice: 0.7375, loss: 16.4992, grad_norm: 70.1036 2023-11-22 11:22:52,416 - mmseg - INFO - Iter [86650/160000] lr: 4.367e-06, eta: 11:57:20, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2541, decode.loss_mask: 0.4910, decode.loss_dice: 0.7438, decode.d0.loss_cls: 1.3663, decode.d0.loss_mask: 0.5304, decode.d0.loss_dice: 0.8468, decode.d1.loss_cls: 0.3374, decode.d1.loss_mask: 0.5173, decode.d1.loss_dice: 0.7857, decode.d2.loss_cls: 0.2944, decode.d2.loss_mask: 0.5025, decode.d2.loss_dice: 0.7671, decode.d3.loss_cls: 0.2733, decode.d3.loss_mask: 0.4940, decode.d3.loss_dice: 0.7531, decode.d4.loss_cls: 0.2692, decode.d4.loss_mask: 0.4933, decode.d4.loss_dice: 0.7500, decode.d5.loss_cls: 0.2652, decode.d5.loss_mask: 0.4944, decode.d5.loss_dice: 0.7483, decode.d6.loss_cls: 0.2578, decode.d6.loss_mask: 0.4903, decode.d6.loss_dice: 0.7442, decode.d7.loss_cls: 0.2568, decode.d7.loss_mask: 0.4904, decode.d7.loss_dice: 0.7467, decode.d8.loss_cls: 0.2513, decode.d8.loss_mask: 0.4931, decode.d8.loss_dice: 0.7451, loss: 16.4532, grad_norm: 71.0955 2023-11-22 11:23:20,993 - mmseg - INFO - Iter [86700/160000] lr: 4.364e-06, eta: 11:56:50, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2501, decode.loss_mask: 0.4939, decode.loss_dice: 0.7336, decode.d0.loss_cls: 1.3556, decode.d0.loss_mask: 0.5190, decode.d0.loss_dice: 0.8189, decode.d1.loss_cls: 0.3348, decode.d1.loss_mask: 0.5076, decode.d1.loss_dice: 0.7809, decode.d2.loss_cls: 0.2881, decode.d2.loss_mask: 0.4983, decode.d2.loss_dice: 0.7477, decode.d3.loss_cls: 0.2697, decode.d3.loss_mask: 0.4950, decode.d3.loss_dice: 0.7352, decode.d4.loss_cls: 0.2648, decode.d4.loss_mask: 0.4946, decode.d4.loss_dice: 0.7358, decode.d5.loss_cls: 0.2586, decode.d5.loss_mask: 0.4940, decode.d5.loss_dice: 0.7342, decode.d6.loss_cls: 0.2493, decode.d6.loss_mask: 0.4952, decode.d6.loss_dice: 0.7326, decode.d7.loss_cls: 0.2536, decode.d7.loss_mask: 0.4915, decode.d7.loss_dice: 0.7355, decode.d8.loss_cls: 0.2502, decode.d8.loss_mask: 0.4927, decode.d8.loss_dice: 0.7323, loss: 16.2433, grad_norm: 69.4296 2023-11-22 11:23:49,646 - mmseg - INFO - Iter [86750/160000] lr: 4.361e-06, eta: 11:56:20, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2453, decode.loss_mask: 0.4980, decode.loss_dice: 0.7519, decode.d0.loss_cls: 1.3434, decode.d0.loss_mask: 0.5344, decode.d0.loss_dice: 0.8489, decode.d1.loss_cls: 0.3325, decode.d1.loss_mask: 0.5177, decode.d1.loss_dice: 0.7995, decode.d2.loss_cls: 0.2790, decode.d2.loss_mask: 0.5107, decode.d2.loss_dice: 0.7756, decode.d3.loss_cls: 0.2569, decode.d3.loss_mask: 0.5044, decode.d3.loss_dice: 0.7594, decode.d4.loss_cls: 0.2499, decode.d4.loss_mask: 0.5027, decode.d4.loss_dice: 0.7607, decode.d5.loss_cls: 0.2496, decode.d5.loss_mask: 0.4993, decode.d5.loss_dice: 0.7563, decode.d6.loss_cls: 0.2503, decode.d6.loss_mask: 0.4986, decode.d6.loss_dice: 0.7506, decode.d7.loss_cls: 0.2438, decode.d7.loss_mask: 0.4979, decode.d7.loss_dice: 0.7560, decode.d8.loss_cls: 0.2407, decode.d8.loss_mask: 0.4993, decode.d8.loss_dice: 0.7543, loss: 16.4676, grad_norm: 65.9463 2023-11-22 11:24:18,129 - mmseg - INFO - Iter [86800/160000] lr: 4.358e-06, eta: 11:55:50, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2469, decode.loss_mask: 0.5003, decode.loss_dice: 0.7317, decode.d0.loss_cls: 1.3502, decode.d0.loss_mask: 0.5306, decode.d0.loss_dice: 0.8141, decode.d1.loss_cls: 0.3216, decode.d1.loss_mask: 0.5145, decode.d1.loss_dice: 0.7702, decode.d2.loss_cls: 0.2863, decode.d2.loss_mask: 0.5069, decode.d2.loss_dice: 0.7537, decode.d3.loss_cls: 0.2677, decode.d3.loss_mask: 0.5028, decode.d3.loss_dice: 0.7366, decode.d4.loss_cls: 0.2607, decode.d4.loss_mask: 0.5011, decode.d4.loss_dice: 0.7325, decode.d5.loss_cls: 0.2556, decode.d5.loss_mask: 0.5021, decode.d5.loss_dice: 0.7321, decode.d6.loss_cls: 0.2486, decode.d6.loss_mask: 0.5007, decode.d6.loss_dice: 0.7288, decode.d7.loss_cls: 0.2478, decode.d7.loss_mask: 0.5015, decode.d7.loss_dice: 0.7338, decode.d8.loss_cls: 0.2515, decode.d8.loss_mask: 0.4998, decode.d8.loss_dice: 0.7324, loss: 16.2632, grad_norm: 67.3861 2023-11-22 11:24:46,761 - mmseg - INFO - Iter [86850/160000] lr: 4.355e-06, eta: 11:55:20, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2569, decode.loss_mask: 0.4952, decode.loss_dice: 0.7437, decode.d0.loss_cls: 1.3896, decode.d0.loss_mask: 0.5310, decode.d0.loss_dice: 0.8323, decode.d1.loss_cls: 0.3460, decode.d1.loss_mask: 0.5126, decode.d1.loss_dice: 0.7850, decode.d2.loss_cls: 0.3004, decode.d2.loss_mask: 0.4999, decode.d2.loss_dice: 0.7642, decode.d3.loss_cls: 0.2793, decode.d3.loss_mask: 0.4950, decode.d3.loss_dice: 0.7451, decode.d4.loss_cls: 0.2736, decode.d4.loss_mask: 0.4953, decode.d4.loss_dice: 0.7479, decode.d5.loss_cls: 0.2687, decode.d5.loss_mask: 0.4955, decode.d5.loss_dice: 0.7476, decode.d6.loss_cls: 0.2615, decode.d6.loss_mask: 0.4930, decode.d6.loss_dice: 0.7407, decode.d7.loss_cls: 0.2610, decode.d7.loss_mask: 0.4934, decode.d7.loss_dice: 0.7431, decode.d8.loss_cls: 0.2624, decode.d8.loss_mask: 0.4946, decode.d8.loss_dice: 0.7439, loss: 16.4983, grad_norm: 66.4329 2023-11-22 11:25:15,614 - mmseg - INFO - Iter [86900/160000] lr: 4.352e-06, eta: 11:54:50, time: 0.577, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2658, decode.loss_mask: 0.4760, decode.loss_dice: 0.7507, decode.d0.loss_cls: 1.3948, decode.d0.loss_mask: 0.5004, decode.d0.loss_dice: 0.8342, decode.d1.loss_cls: 0.3565, decode.d1.loss_mask: 0.4937, decode.d1.loss_dice: 0.7841, decode.d2.loss_cls: 0.3041, decode.d2.loss_mask: 0.4833, decode.d2.loss_dice: 0.7683, decode.d3.loss_cls: 0.2813, decode.d3.loss_mask: 0.4796, decode.d3.loss_dice: 0.7515, decode.d4.loss_cls: 0.2775, decode.d4.loss_mask: 0.4803, decode.d4.loss_dice: 0.7555, decode.d5.loss_cls: 0.2738, decode.d5.loss_mask: 0.4781, decode.d5.loss_dice: 0.7541, decode.d6.loss_cls: 0.2671, decode.d6.loss_mask: 0.4776, decode.d6.loss_dice: 0.7499, decode.d7.loss_cls: 0.2646, decode.d7.loss_mask: 0.4759, decode.d7.loss_dice: 0.7481, decode.d8.loss_cls: 0.2646, decode.d8.loss_mask: 0.4770, decode.d8.loss_dice: 0.7487, loss: 16.4172, grad_norm: 72.2696 2023-11-22 11:25:43,938 - mmseg - INFO - Iter [86950/160000] lr: 4.349e-06, eta: 11:54:20, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2628, decode.loss_mask: 0.5028, decode.loss_dice: 0.7639, decode.d0.loss_cls: 1.3740, decode.d0.loss_mask: 0.5463, decode.d0.loss_dice: 0.8647, decode.d1.loss_cls: 0.3388, decode.d1.loss_mask: 0.5220, decode.d1.loss_dice: 0.8113, decode.d2.loss_cls: 0.3003, decode.d2.loss_mask: 0.5108, decode.d2.loss_dice: 0.7887, decode.d3.loss_cls: 0.2774, decode.d3.loss_mask: 0.5069, decode.d3.loss_dice: 0.7659, decode.d4.loss_cls: 0.2733, decode.d4.loss_mask: 0.5055, decode.d4.loss_dice: 0.7657, decode.d5.loss_cls: 0.2681, decode.d5.loss_mask: 0.5066, decode.d5.loss_dice: 0.7687, decode.d6.loss_cls: 0.2682, decode.d6.loss_mask: 0.5021, decode.d6.loss_dice: 0.7608, decode.d7.loss_cls: 0.2625, decode.d7.loss_mask: 0.5028, decode.d7.loss_dice: 0.7615, decode.d8.loss_cls: 0.2628, decode.d8.loss_mask: 0.5033, decode.d8.loss_dice: 0.7628, loss: 16.8114, grad_norm: 69.3516 2023-11-22 11:26:12,353 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 11:26:12,353 - mmseg - INFO - Iter [87000/160000] lr: 4.346e-06, eta: 11:53:50, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2613, decode.loss_mask: 0.4888, decode.loss_dice: 0.7497, decode.d0.loss_cls: 1.3633, decode.d0.loss_mask: 0.5263, decode.d0.loss_dice: 0.8277, decode.d1.loss_cls: 0.3418, decode.d1.loss_mask: 0.5098, decode.d1.loss_dice: 0.7914, decode.d2.loss_cls: 0.2956, decode.d2.loss_mask: 0.5016, decode.d2.loss_dice: 0.7637, decode.d3.loss_cls: 0.2769, decode.d3.loss_mask: 0.4941, decode.d3.loss_dice: 0.7514, decode.d4.loss_cls: 0.2733, decode.d4.loss_mask: 0.4940, decode.d4.loss_dice: 0.7506, decode.d5.loss_cls: 0.2693, decode.d5.loss_mask: 0.4930, decode.d5.loss_dice: 0.7528, decode.d6.loss_cls: 0.2656, decode.d6.loss_mask: 0.4925, decode.d6.loss_dice: 0.7490, decode.d7.loss_cls: 0.2630, decode.d7.loss_mask: 0.4890, decode.d7.loss_dice: 0.7515, decode.d8.loss_cls: 0.2639, decode.d8.loss_mask: 0.4906, decode.d8.loss_dice: 0.7496, loss: 16.4910, grad_norm: 68.8859 2023-11-22 11:26:40,798 - mmseg - INFO - Iter [87050/160000] lr: 4.343e-06, eta: 11:53:20, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2308, decode.loss_mask: 0.5043, decode.loss_dice: 0.7407, decode.d0.loss_cls: 1.3336, decode.d0.loss_mask: 0.5426, decode.d0.loss_dice: 0.8162, decode.d1.loss_cls: 0.3240, decode.d1.loss_mask: 0.5217, decode.d1.loss_dice: 0.7850, decode.d2.loss_cls: 0.2696, decode.d2.loss_mask: 0.5126, decode.d2.loss_dice: 0.7642, decode.d3.loss_cls: 0.2477, decode.d3.loss_mask: 0.5058, decode.d3.loss_dice: 0.7499, decode.d4.loss_cls: 0.2435, decode.d4.loss_mask: 0.5048, decode.d4.loss_dice: 0.7470, decode.d5.loss_cls: 0.2330, decode.d5.loss_mask: 0.5032, decode.d5.loss_dice: 0.7480, decode.d6.loss_cls: 0.2360, decode.d6.loss_mask: 0.5028, decode.d6.loss_dice: 0.7416, decode.d7.loss_cls: 0.2328, decode.d7.loss_mask: 0.5036, decode.d7.loss_dice: 0.7442, decode.d8.loss_cls: 0.2290, decode.d8.loss_mask: 0.5034, decode.d8.loss_dice: 0.7442, loss: 16.2657, grad_norm: 67.0876 2023-11-22 11:27:09,119 - mmseg - INFO - Iter [87100/160000] lr: 4.340e-06, eta: 11:52:50, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2611, decode.loss_mask: 0.5020, decode.loss_dice: 0.7442, decode.d0.loss_cls: 1.3659, decode.d0.loss_mask: 0.5440, decode.d0.loss_dice: 0.8411, decode.d1.loss_cls: 0.3458, decode.d1.loss_mask: 0.5257, decode.d1.loss_dice: 0.7892, decode.d2.loss_cls: 0.2938, decode.d2.loss_mask: 0.5113, decode.d2.loss_dice: 0.7663, decode.d3.loss_cls: 0.2786, decode.d3.loss_mask: 0.5076, decode.d3.loss_dice: 0.7527, decode.d4.loss_cls: 0.2728, decode.d4.loss_mask: 0.5054, decode.d4.loss_dice: 0.7495, decode.d5.loss_cls: 0.2677, decode.d5.loss_mask: 0.5030, decode.d5.loss_dice: 0.7469, decode.d6.loss_cls: 0.2738, decode.d6.loss_mask: 0.5011, decode.d6.loss_dice: 0.7419, decode.d7.loss_cls: 0.2642, decode.d7.loss_mask: 0.5016, decode.d7.loss_dice: 0.7403, decode.d8.loss_cls: 0.2610, decode.d8.loss_mask: 0.5011, decode.d8.loss_dice: 0.7451, loss: 16.6044, grad_norm: 72.6733 2023-11-22 11:27:39,862 - mmseg - INFO - Iter [87150/160000] lr: 4.337e-06, eta: 11:52:22, time: 0.615, data_time: 0.059, memory: 38143, decode.loss_cls: 0.2496, decode.loss_mask: 0.5178, decode.loss_dice: 0.7520, decode.d0.loss_cls: 1.3557, decode.d0.loss_mask: 0.5511, decode.d0.loss_dice: 0.8435, decode.d1.loss_cls: 0.3265, decode.d1.loss_mask: 0.5387, decode.d1.loss_dice: 0.7996, decode.d2.loss_cls: 0.2868, decode.d2.loss_mask: 0.5251, decode.d2.loss_dice: 0.7685, decode.d3.loss_cls: 0.2698, decode.d3.loss_mask: 0.5182, decode.d3.loss_dice: 0.7564, decode.d4.loss_cls: 0.2612, decode.d4.loss_mask: 0.5190, decode.d4.loss_dice: 0.7563, decode.d5.loss_cls: 0.2547, decode.d5.loss_mask: 0.5181, decode.d5.loss_dice: 0.7589, decode.d6.loss_cls: 0.2531, decode.d6.loss_mask: 0.5169, decode.d6.loss_dice: 0.7534, decode.d7.loss_cls: 0.2486, decode.d7.loss_mask: 0.5197, decode.d7.loss_dice: 0.7557, decode.d8.loss_cls: 0.2463, decode.d8.loss_mask: 0.5180, decode.d8.loss_dice: 0.7569, loss: 16.6962, grad_norm: 71.7557 2023-11-22 11:28:08,541 - mmseg - INFO - Iter [87200/160000] lr: 4.334e-06, eta: 11:51:52, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2719, decode.loss_mask: 0.4904, decode.loss_dice: 0.7523, decode.d0.loss_cls: 1.3960, decode.d0.loss_mask: 0.5291, decode.d0.loss_dice: 0.8462, decode.d1.loss_cls: 0.3669, decode.d1.loss_mask: 0.5181, decode.d1.loss_dice: 0.7978, decode.d2.loss_cls: 0.3160, decode.d2.loss_mask: 0.5039, decode.d2.loss_dice: 0.7744, decode.d3.loss_cls: 0.2899, decode.d3.loss_mask: 0.4967, decode.d3.loss_dice: 0.7588, decode.d4.loss_cls: 0.2852, decode.d4.loss_mask: 0.4933, decode.d4.loss_dice: 0.7546, decode.d5.loss_cls: 0.2778, decode.d5.loss_mask: 0.4933, decode.d5.loss_dice: 0.7540, decode.d6.loss_cls: 0.2706, decode.d6.loss_mask: 0.4931, decode.d6.loss_dice: 0.7513, decode.d7.loss_cls: 0.2738, decode.d7.loss_mask: 0.4913, decode.d7.loss_dice: 0.7488, decode.d8.loss_cls: 0.2701, decode.d8.loss_mask: 0.4924, decode.d8.loss_dice: 0.7550, loss: 16.7132, grad_norm: 69.0893 2023-11-22 11:28:36,890 - mmseg - INFO - Iter [87250/160000] lr: 4.331e-06, eta: 11:51:22, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2365, decode.loss_mask: 0.5038, decode.loss_dice: 0.7260, decode.d0.loss_cls: 1.3324, decode.d0.loss_mask: 0.5407, decode.d0.loss_dice: 0.8066, decode.d1.loss_cls: 0.3191, decode.d1.loss_mask: 0.5257, decode.d1.loss_dice: 0.7693, decode.d2.loss_cls: 0.2709, decode.d2.loss_mask: 0.5144, decode.d2.loss_dice: 0.7473, decode.d3.loss_cls: 0.2534, decode.d3.loss_mask: 0.5074, decode.d3.loss_dice: 0.7339, decode.d4.loss_cls: 0.2458, decode.d4.loss_mask: 0.5072, decode.d4.loss_dice: 0.7318, decode.d5.loss_cls: 0.2422, decode.d5.loss_mask: 0.5044, decode.d5.loss_dice: 0.7372, decode.d6.loss_cls: 0.2360, decode.d6.loss_mask: 0.5044, decode.d6.loss_dice: 0.7319, decode.d7.loss_cls: 0.2323, decode.d7.loss_mask: 0.5043, decode.d7.loss_dice: 0.7305, decode.d8.loss_cls: 0.2360, decode.d8.loss_mask: 0.5042, decode.d8.loss_dice: 0.7320, loss: 16.1677, grad_norm: 68.2894 2023-11-22 11:29:05,283 - mmseg - INFO - Iter [87300/160000] lr: 4.328e-06, eta: 11:50:51, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2504, decode.loss_mask: 0.5008, decode.loss_dice: 0.7541, decode.d0.loss_cls: 1.3566, decode.d0.loss_mask: 0.5306, decode.d0.loss_dice: 0.8469, decode.d1.loss_cls: 0.3538, decode.d1.loss_mask: 0.5161, decode.d1.loss_dice: 0.7943, decode.d2.loss_cls: 0.2865, decode.d2.loss_mask: 0.5062, decode.d2.loss_dice: 0.7842, decode.d3.loss_cls: 0.2734, decode.d3.loss_mask: 0.5019, decode.d3.loss_dice: 0.7646, decode.d4.loss_cls: 0.2629, decode.d4.loss_mask: 0.5010, decode.d4.loss_dice: 0.7627, decode.d5.loss_cls: 0.2578, decode.d5.loss_mask: 0.5024, decode.d5.loss_dice: 0.7586, decode.d6.loss_cls: 0.2576, decode.d6.loss_mask: 0.5003, decode.d6.loss_dice: 0.7516, decode.d7.loss_cls: 0.2577, decode.d7.loss_mask: 0.5008, decode.d7.loss_dice: 0.7543, decode.d8.loss_cls: 0.2563, decode.d8.loss_mask: 0.5033, decode.d8.loss_dice: 0.7519, loss: 16.5995, grad_norm: 74.3889 2023-11-22 11:29:33,635 - mmseg - INFO - Iter [87350/160000] lr: 4.325e-06, eta: 11:50:21, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2604, decode.loss_mask: 0.4958, decode.loss_dice: 0.7362, decode.d0.loss_cls: 1.3737, decode.d0.loss_mask: 0.5328, decode.d0.loss_dice: 0.8349, decode.d1.loss_cls: 0.3575, decode.d1.loss_mask: 0.5139, decode.d1.loss_dice: 0.7781, decode.d2.loss_cls: 0.3024, decode.d2.loss_mask: 0.5038, decode.d2.loss_dice: 0.7571, decode.d3.loss_cls: 0.2827, decode.d3.loss_mask: 0.4983, decode.d3.loss_dice: 0.7446, decode.d4.loss_cls: 0.2758, decode.d4.loss_mask: 0.4964, decode.d4.loss_dice: 0.7448, decode.d5.loss_cls: 0.2714, decode.d5.loss_mask: 0.4947, decode.d5.loss_dice: 0.7396, decode.d6.loss_cls: 0.2646, decode.d6.loss_mask: 0.4941, decode.d6.loss_dice: 0.7379, decode.d7.loss_cls: 0.2655, decode.d7.loss_mask: 0.4936, decode.d7.loss_dice: 0.7374, decode.d8.loss_cls: 0.2596, decode.d8.loss_mask: 0.4974, decode.d8.loss_dice: 0.7362, loss: 16.4813, grad_norm: 73.0135 2023-11-22 11:30:02,005 - mmseg - INFO - Iter [87400/160000] lr: 4.322e-06, eta: 11:49:51, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2651, decode.loss_mask: 0.4835, decode.loss_dice: 0.7329, decode.d0.loss_cls: 1.3295, decode.d0.loss_mask: 0.5182, decode.d0.loss_dice: 0.8157, decode.d1.loss_cls: 0.3483, decode.d1.loss_mask: 0.5019, decode.d1.loss_dice: 0.7678, decode.d2.loss_cls: 0.3014, decode.d2.loss_mask: 0.4920, decode.d2.loss_dice: 0.7529, decode.d3.loss_cls: 0.2755, decode.d3.loss_mask: 0.4886, decode.d3.loss_dice: 0.7382, decode.d4.loss_cls: 0.2696, decode.d4.loss_mask: 0.4867, decode.d4.loss_dice: 0.7370, decode.d5.loss_cls: 0.2708, decode.d5.loss_mask: 0.4858, decode.d5.loss_dice: 0.7378, decode.d6.loss_cls: 0.2700, decode.d6.loss_mask: 0.4830, decode.d6.loss_dice: 0.7314, decode.d7.loss_cls: 0.2645, decode.d7.loss_mask: 0.4847, decode.d7.loss_dice: 0.7401, decode.d8.loss_cls: 0.2636, decode.d8.loss_mask: 0.4844, decode.d8.loss_dice: 0.7391, loss: 16.2600, grad_norm: 72.6988 2023-11-22 11:30:30,398 - mmseg - INFO - Iter [87450/160000] lr: 4.319e-06, eta: 11:49:21, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2409, decode.loss_mask: 0.5127, decode.loss_dice: 0.7441, decode.d0.loss_cls: 1.3467, decode.d0.loss_mask: 0.5537, decode.d0.loss_dice: 0.8360, decode.d1.loss_cls: 0.3260, decode.d1.loss_mask: 0.5355, decode.d1.loss_dice: 0.7857, decode.d2.loss_cls: 0.2819, decode.d2.loss_mask: 0.5189, decode.d2.loss_dice: 0.7638, decode.d3.loss_cls: 0.2654, decode.d3.loss_mask: 0.5128, decode.d3.loss_dice: 0.7513, decode.d4.loss_cls: 0.2531, decode.d4.loss_mask: 0.5135, decode.d4.loss_dice: 0.7499, decode.d5.loss_cls: 0.2504, decode.d5.loss_mask: 0.5139, decode.d5.loss_dice: 0.7504, decode.d6.loss_cls: 0.2491, decode.d6.loss_mask: 0.5142, decode.d6.loss_dice: 0.7459, decode.d7.loss_cls: 0.2474, decode.d7.loss_mask: 0.5126, decode.d7.loss_dice: 0.7455, decode.d8.loss_cls: 0.2421, decode.d8.loss_mask: 0.5126, decode.d8.loss_dice: 0.7444, loss: 16.5204, grad_norm: 71.0700 2023-11-22 11:30:58,906 - mmseg - INFO - Iter [87500/160000] lr: 4.316e-06, eta: 11:48:51, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2524, decode.loss_mask: 0.4878, decode.loss_dice: 0.7419, decode.d0.loss_cls: 1.3517, decode.d0.loss_mask: 0.5226, decode.d0.loss_dice: 0.8357, decode.d1.loss_cls: 0.3341, decode.d1.loss_mask: 0.5053, decode.d1.loss_dice: 0.7814, decode.d2.loss_cls: 0.2929, decode.d2.loss_mask: 0.4968, decode.d2.loss_dice: 0.7616, decode.d3.loss_cls: 0.2680, decode.d3.loss_mask: 0.4932, decode.d3.loss_dice: 0.7498, decode.d4.loss_cls: 0.2605, decode.d4.loss_mask: 0.4914, decode.d4.loss_dice: 0.7460, decode.d5.loss_cls: 0.2562, decode.d5.loss_mask: 0.4923, decode.d5.loss_dice: 0.7495, decode.d6.loss_cls: 0.2558, decode.d6.loss_mask: 0.4902, decode.d6.loss_dice: 0.7419, decode.d7.loss_cls: 0.2575, decode.d7.loss_mask: 0.4898, decode.d7.loss_dice: 0.7410, decode.d8.loss_cls: 0.2514, decode.d8.loss_mask: 0.4889, decode.d8.loss_dice: 0.7407, loss: 16.3284, grad_norm: 66.3302 2023-11-22 11:31:27,176 - mmseg - INFO - Iter [87550/160000] lr: 4.313e-06, eta: 11:48:21, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2560, decode.loss_mask: 0.4898, decode.loss_dice: 0.7549, decode.d0.loss_cls: 1.3854, decode.d0.loss_mask: 0.5252, decode.d0.loss_dice: 0.8499, decode.d1.loss_cls: 0.3466, decode.d1.loss_mask: 0.5064, decode.d1.loss_dice: 0.8014, decode.d2.loss_cls: 0.3023, decode.d2.loss_mask: 0.4973, decode.d2.loss_dice: 0.7783, decode.d3.loss_cls: 0.2727, decode.d3.loss_mask: 0.4947, decode.d3.loss_dice: 0.7663, decode.d4.loss_cls: 0.2643, decode.d4.loss_mask: 0.4927, decode.d4.loss_dice: 0.7670, decode.d5.loss_cls: 0.2597, decode.d5.loss_mask: 0.4917, decode.d5.loss_dice: 0.7688, decode.d6.loss_cls: 0.2578, decode.d6.loss_mask: 0.4894, decode.d6.loss_dice: 0.7605, decode.d7.loss_cls: 0.2535, decode.d7.loss_mask: 0.4894, decode.d7.loss_dice: 0.7615, decode.d8.loss_cls: 0.2541, decode.d8.loss_mask: 0.4912, decode.d8.loss_dice: 0.7585, loss: 16.5875, grad_norm: 70.6093 2023-11-22 11:31:55,593 - mmseg - INFO - Iter [87600/160000] lr: 4.310e-06, eta: 11:47:51, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2436, decode.loss_mask: 0.4846, decode.loss_dice: 0.7435, decode.d0.loss_cls: 1.3507, decode.d0.loss_mask: 0.5196, decode.d0.loss_dice: 0.8338, decode.d1.loss_cls: 0.3330, decode.d1.loss_mask: 0.5076, decode.d1.loss_dice: 0.7883, decode.d2.loss_cls: 0.2790, decode.d2.loss_mask: 0.4963, decode.d2.loss_dice: 0.7683, decode.d3.loss_cls: 0.2637, decode.d3.loss_mask: 0.4890, decode.d3.loss_dice: 0.7486, decode.d4.loss_cls: 0.2570, decode.d4.loss_mask: 0.4880, decode.d4.loss_dice: 0.7506, decode.d5.loss_cls: 0.2539, decode.d5.loss_mask: 0.4879, decode.d5.loss_dice: 0.7482, decode.d6.loss_cls: 0.2466, decode.d6.loss_mask: 0.4849, decode.d6.loss_dice: 0.7475, decode.d7.loss_cls: 0.2458, decode.d7.loss_mask: 0.4858, decode.d7.loss_dice: 0.7425, decode.d8.loss_cls: 0.2458, decode.d8.loss_mask: 0.4854, decode.d8.loss_dice: 0.7419, loss: 16.2613, grad_norm: 69.4587 2023-11-22 11:32:24,128 - mmseg - INFO - Iter [87650/160000] lr: 4.307e-06, eta: 11:47:21, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2483, decode.loss_mask: 0.5026, decode.loss_dice: 0.7329, decode.d0.loss_cls: 1.3612, decode.d0.loss_mask: 0.5305, decode.d0.loss_dice: 0.8216, decode.d1.loss_cls: 0.3381, decode.d1.loss_mask: 0.5205, decode.d1.loss_dice: 0.7748, decode.d2.loss_cls: 0.2866, decode.d2.loss_mask: 0.5097, decode.d2.loss_dice: 0.7560, decode.d3.loss_cls: 0.2704, decode.d3.loss_mask: 0.5017, decode.d3.loss_dice: 0.7436, decode.d4.loss_cls: 0.2626, decode.d4.loss_mask: 0.5024, decode.d4.loss_dice: 0.7425, decode.d5.loss_cls: 0.2609, decode.d5.loss_mask: 0.5012, decode.d5.loss_dice: 0.7424, decode.d6.loss_cls: 0.2550, decode.d6.loss_mask: 0.5000, decode.d6.loss_dice: 0.7373, decode.d7.loss_cls: 0.2542, decode.d7.loss_mask: 0.5002, decode.d7.loss_dice: 0.7333, decode.d8.loss_cls: 0.2499, decode.d8.loss_mask: 0.4992, decode.d8.loss_dice: 0.7379, loss: 16.3776, grad_norm: 74.8956 2023-11-22 11:32:52,620 - mmseg - INFO - Iter [87700/160000] lr: 4.304e-06, eta: 11:46:51, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2355, decode.loss_mask: 0.5006, decode.loss_dice: 0.7563, decode.d0.loss_cls: 1.3630, decode.d0.loss_mask: 0.5351, decode.d0.loss_dice: 0.8406, decode.d1.loss_cls: 0.3272, decode.d1.loss_mask: 0.5174, decode.d1.loss_dice: 0.7887, decode.d2.loss_cls: 0.2771, decode.d2.loss_mask: 0.5075, decode.d2.loss_dice: 0.7676, decode.d3.loss_cls: 0.2589, decode.d3.loss_mask: 0.5046, decode.d3.loss_dice: 0.7549, decode.d4.loss_cls: 0.2476, decode.d4.loss_mask: 0.5042, decode.d4.loss_dice: 0.7558, decode.d5.loss_cls: 0.2476, decode.d5.loss_mask: 0.5028, decode.d5.loss_dice: 0.7581, decode.d6.loss_cls: 0.2425, decode.d6.loss_mask: 0.5028, decode.d6.loss_dice: 0.7575, decode.d7.loss_cls: 0.2347, decode.d7.loss_mask: 0.5049, decode.d7.loss_dice: 0.7545, decode.d8.loss_cls: 0.2359, decode.d8.loss_mask: 0.5019, decode.d8.loss_dice: 0.7512, loss: 16.4370, grad_norm: 74.6718 2023-11-22 11:33:21,155 - mmseg - INFO - Iter [87750/160000] lr: 4.301e-06, eta: 11:46:21, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2489, decode.loss_mask: 0.4920, decode.loss_dice: 0.7380, decode.d0.loss_cls: 1.3619, decode.d0.loss_mask: 0.5281, decode.d0.loss_dice: 0.8308, decode.d1.loss_cls: 0.3261, decode.d1.loss_mask: 0.5138, decode.d1.loss_dice: 0.7883, decode.d2.loss_cls: 0.2835, decode.d2.loss_mask: 0.5010, decode.d2.loss_dice: 0.7608, decode.d3.loss_cls: 0.2658, decode.d3.loss_mask: 0.4986, decode.d3.loss_dice: 0.7489, decode.d4.loss_cls: 0.2576, decode.d4.loss_mask: 0.4967, decode.d4.loss_dice: 0.7467, decode.d5.loss_cls: 0.2516, decode.d5.loss_mask: 0.4953, decode.d5.loss_dice: 0.7452, decode.d6.loss_cls: 0.2571, decode.d6.loss_mask: 0.4926, decode.d6.loss_dice: 0.7418, decode.d7.loss_cls: 0.2530, decode.d7.loss_mask: 0.4910, decode.d7.loss_dice: 0.7409, decode.d8.loss_cls: 0.2486, decode.d8.loss_mask: 0.4923, decode.d8.loss_dice: 0.7424, loss: 16.3395, grad_norm: 72.7991 2023-11-22 11:33:49,693 - mmseg - INFO - Iter [87800/160000] lr: 4.298e-06, eta: 11:45:51, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2502, decode.loss_mask: 0.5028, decode.loss_dice: 0.7315, decode.d0.loss_cls: 1.3735, decode.d0.loss_mask: 0.5429, decode.d0.loss_dice: 0.8151, decode.d1.loss_cls: 0.3396, decode.d1.loss_mask: 0.5182, decode.d1.loss_dice: 0.7714, decode.d2.loss_cls: 0.2869, decode.d2.loss_mask: 0.5110, decode.d2.loss_dice: 0.7529, decode.d3.loss_cls: 0.2729, decode.d3.loss_mask: 0.5016, decode.d3.loss_dice: 0.7382, decode.d4.loss_cls: 0.2639, decode.d4.loss_mask: 0.5041, decode.d4.loss_dice: 0.7381, decode.d5.loss_cls: 0.2590, decode.d5.loss_mask: 0.5051, decode.d5.loss_dice: 0.7335, decode.d6.loss_cls: 0.2588, decode.d6.loss_mask: 0.5038, decode.d6.loss_dice: 0.7299, decode.d7.loss_cls: 0.2519, decode.d7.loss_mask: 0.5046, decode.d7.loss_dice: 0.7342, decode.d8.loss_cls: 0.2488, decode.d8.loss_mask: 0.5036, decode.d8.loss_dice: 0.7341, loss: 16.3821, grad_norm: 78.6092 2023-11-22 11:34:18,118 - mmseg - INFO - Iter [87850/160000] lr: 4.295e-06, eta: 11:45:21, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2492, decode.loss_mask: 0.4969, decode.loss_dice: 0.7396, decode.d0.loss_cls: 1.3470, decode.d0.loss_mask: 0.5356, decode.d0.loss_dice: 0.8267, decode.d1.loss_cls: 0.3433, decode.d1.loss_mask: 0.5141, decode.d1.loss_dice: 0.7809, decode.d2.loss_cls: 0.2920, decode.d2.loss_mask: 0.5041, decode.d2.loss_dice: 0.7597, decode.d3.loss_cls: 0.2718, decode.d3.loss_mask: 0.5000, decode.d3.loss_dice: 0.7435, decode.d4.loss_cls: 0.2631, decode.d4.loss_mask: 0.4990, decode.d4.loss_dice: 0.7421, decode.d5.loss_cls: 0.2547, decode.d5.loss_mask: 0.4993, decode.d5.loss_dice: 0.7461, decode.d6.loss_cls: 0.2498, decode.d6.loss_mask: 0.4986, decode.d6.loss_dice: 0.7372, decode.d7.loss_cls: 0.2485, decode.d7.loss_mask: 0.4968, decode.d7.loss_dice: 0.7376, decode.d8.loss_cls: 0.2481, decode.d8.loss_mask: 0.4971, decode.d8.loss_dice: 0.7394, loss: 16.3618, grad_norm: 72.7668 2023-11-22 11:34:46,616 - mmseg - INFO - Iter [87900/160000] lr: 4.292e-06, eta: 11:44:51, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2539, decode.loss_mask: 0.4676, decode.loss_dice: 0.7424, decode.d0.loss_cls: 1.3879, decode.d0.loss_mask: 0.4951, decode.d0.loss_dice: 0.8270, decode.d1.loss_cls: 0.3452, decode.d1.loss_mask: 0.4786, decode.d1.loss_dice: 0.7838, decode.d2.loss_cls: 0.2937, decode.d2.loss_mask: 0.4717, decode.d2.loss_dice: 0.7640, decode.d3.loss_cls: 0.2781, decode.d3.loss_mask: 0.4694, decode.d3.loss_dice: 0.7495, decode.d4.loss_cls: 0.2679, decode.d4.loss_mask: 0.4683, decode.d4.loss_dice: 0.7519, decode.d5.loss_cls: 0.2639, decode.d5.loss_mask: 0.4700, decode.d5.loss_dice: 0.7526, decode.d6.loss_cls: 0.2654, decode.d6.loss_mask: 0.4668, decode.d6.loss_dice: 0.7380, decode.d7.loss_cls: 0.2575, decode.d7.loss_mask: 0.4679, decode.d7.loss_dice: 0.7456, decode.d8.loss_cls: 0.2558, decode.d8.loss_mask: 0.4664, decode.d8.loss_dice: 0.7468, loss: 16.1925, grad_norm: 66.2867 2023-11-22 11:35:15,067 - mmseg - INFO - Iter [87950/160000] lr: 4.289e-06, eta: 11:44:21, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2688, decode.loss_mask: 0.5086, decode.loss_dice: 0.7554, decode.d0.loss_cls: 1.3674, decode.d0.loss_mask: 0.5388, decode.d0.loss_dice: 0.8409, decode.d1.loss_cls: 0.3457, decode.d1.loss_mask: 0.5286, decode.d1.loss_dice: 0.8002, decode.d2.loss_cls: 0.2985, decode.d2.loss_mask: 0.5195, decode.d2.loss_dice: 0.7888, decode.d3.loss_cls: 0.2790, decode.d3.loss_mask: 0.5149, decode.d3.loss_dice: 0.7686, decode.d4.loss_cls: 0.2759, decode.d4.loss_mask: 0.5113, decode.d4.loss_dice: 0.7701, decode.d5.loss_cls: 0.2686, decode.d5.loss_mask: 0.5091, decode.d5.loss_dice: 0.7685, decode.d6.loss_cls: 0.2682, decode.d6.loss_mask: 0.5089, decode.d6.loss_dice: 0.7627, decode.d7.loss_cls: 0.2706, decode.d7.loss_mask: 0.5078, decode.d7.loss_dice: 0.7603, decode.d8.loss_cls: 0.2702, decode.d8.loss_mask: 0.5089, decode.d8.loss_dice: 0.7580, loss: 16.8427, grad_norm: 75.5215 2023-11-22 11:35:43,542 - mmseg - INFO - Saving checkpoint at 88000 iterations 2023-11-22 11:35:51,548 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 11:35:51,548 - mmseg - INFO - Iter [88000/160000] lr: 4.286e-06, eta: 11:43:57, time: 0.730, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2609, decode.loss_mask: 0.5254, decode.loss_dice: 0.7575, decode.d0.loss_cls: 1.3673, decode.d0.loss_mask: 0.5614, decode.d0.loss_dice: 0.8515, decode.d1.loss_cls: 0.3483, decode.d1.loss_mask: 0.5442, decode.d1.loss_dice: 0.8005, decode.d2.loss_cls: 0.2903, decode.d2.loss_mask: 0.5338, decode.d2.loss_dice: 0.7799, decode.d3.loss_cls: 0.2809, decode.d3.loss_mask: 0.5294, decode.d3.loss_dice: 0.7626, decode.d4.loss_cls: 0.2689, decode.d4.loss_mask: 0.5296, decode.d4.loss_dice: 0.7679, decode.d5.loss_cls: 0.2652, decode.d5.loss_mask: 0.5259, decode.d5.loss_dice: 0.7681, decode.d6.loss_cls: 0.2664, decode.d6.loss_mask: 0.5231, decode.d6.loss_dice: 0.7611, decode.d7.loss_cls: 0.2604, decode.d7.loss_mask: 0.5261, decode.d7.loss_dice: 0.7604, decode.d8.loss_cls: 0.2577, decode.d8.loss_mask: 0.5244, decode.d8.loss_dice: 0.7595, loss: 16.9584, grad_norm: 72.8208 2023-11-22 11:36:11,510 - mmseg - INFO - per class results: 2023-11-22 11:36:11,515 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.34 | 87.09 | | building | 82.04 | 90.87 | | sky | 95.02 | 97.38 | | floor | 83.76 | 90.67 | | tree | 76.54 | 87.94 | | ceiling | 86.13 | 93.46 | | road | 87.39 | 90.74 | | bed | 91.41 | 96.13 | | windowpane | 64.0 | 80.42 | | grass | 64.63 | 71.97 | | cabinet | 64.4 | 80.94 | | sidewalk | 68.86 | 84.67 | | person | 86.22 | 92.7 | | earth | 38.65 | 65.8 | | door | 51.5 | 70.19 | | table | 70.23 | 82.1 | | mountain | 53.17 | 66.22 | | plant | 54.97 | 69.14 | | curtain | 77.18 | 87.29 | | chair | 65.04 | 74.78 | | car | 88.22 | 94.4 | | water | 57.82 | 67.33 | | painting | 76.47 | 90.47 | | sofa | 75.35 | 89.34 | | shelf | 47.0 | 63.64 | | house | 39.76 | 67.83 | | sea | 61.96 | 90.61 | | mirror | 74.69 | 83.77 | | rug | 67.94 | 80.62 | | field | 38.02 | 55.22 | | armchair | 51.54 | 71.91 | | seat | 63.63 | 83.74 | | fence | 47.44 | 68.45 | | desk | 57.76 | 81.51 | | rock | 51.14 | 69.4 | | wardrobe | 53.91 | 75.81 | | lamp | 72.91 | 83.04 | | bathtub | 79.76 | 86.19 | | railing | 38.38 | 56.38 | | cushion | 66.28 | 79.8 | | base | 43.32 | 75.5 | | box | 31.52 | 40.87 | | column | 53.57 | 69.95 | | signboard | 41.96 | 59.58 | | chest of drawers | 39.49 | 50.6 | | counter | 38.5 | 47.25 | | sand | 45.14 | 59.21 | | sink | 80.62 | 86.01 | | skyscraper | 61.47 | 77.95 | | fireplace | 77.08 | 88.48 | | refrigerator | 85.52 | 91.05 | | grandstand | 40.7 | 74.69 | | path | 22.04 | 32.83 | | stairs | 39.46 | 48.43 | | runway | 72.2 | 91.06 | | case | 67.7 | 87.09 | | pool table | 94.29 | 98.01 | | pillow | 60.63 | 71.79 | | screen door | 64.47 | 69.96 | | stairway | 39.89 | 48.15 | | river | 17.8 | 33.31 | | bridge | 78.3 | 90.38 | | bookcase | 29.31 | 48.28 | | blind | 41.95 | 50.31 | | coffee table | 71.94 | 86.61 | | toilet | 91.34 | 93.68 | | flower | 48.53 | 66.89 | | book | 52.25 | 71.64 | | hill | 8.05 | 15.8 | | bench | 64.63 | 72.49 | | countertop | 59.69 | 73.98 | | stove | 84.64 | 88.36 | | palm | 55.2 | 82.06 | | kitchen island | 49.51 | 78.24 | | computer | 72.56 | 79.51 | | swivel chair | 48.19 | 66.82 | | boat | 33.92 | 56.51 | | bar | 62.08 | 69.82 | | arcade machine | 63.23 | 66.69 | | hovel | 44.73 | 49.41 | | bus | 94.65 | 97.21 | | towel | 76.87 | 88.05 | | light | 65.93 | 77.51 | | truck | 41.54 | 52.77 | | tower | 35.69 | 61.15 | | chandelier | 70.76 | 88.66 | | awning | 44.51 | 62.2 | | streetlight | 46.61 | 66.55 | | booth | 46.97 | 56.48 | | television receiver | 78.06 | 87.95 | | airplane | 74.81 | 79.19 | | dirt track | 13.5 | 35.79 | | apparel | 34.16 | 67.59 | | pole | 38.09 | 60.86 | | land | 4.83 | 7.34 | | bannister | 21.89 | 30.59 | | escalator | 24.78 | 27.39 | | ottoman | 52.85 | 72.44 | | bottle | 40.09 | 64.1 | | buffet | 32.68 | 38.4 | | poster | 38.28 | 46.38 | | stage | 24.2 | 46.45 | | van | 47.96 | 64.8 | | ship | 5.52 | 8.86 | | fountain | 21.56 | 21.89 | | conveyer belt | 65.03 | 91.86 | | canopy | 32.98 | 55.16 | | washer | 72.92 | 74.82 | | plaything | 32.79 | 58.12 | | swimming pool | 55.34 | 71.75 | | stool | 56.32 | 80.53 | | barrel | 46.1 | 98.21 | | basket | 42.11 | 58.88 | | waterfall | 66.11 | 92.82 | | tent | 88.17 | 98.06 | | bag | 28.4 | 41.13 | | minibike | 72.06 | 90.93 | | cradle | 81.09 | 98.21 | | oven | 30.11 | 82.64 | | ball | 58.07 | 65.72 | | food | 56.84 | 63.02 | | step | 28.76 | 44.29 | | tank | 61.64 | 65.79 | | trade name | 29.3 | 37.02 | | microwave | 43.62 | 46.36 | | pot | 55.47 | 65.87 | | animal | 55.07 | 56.23 | | bicycle | 57.56 | 80.94 | | lake | 41.34 | 63.66 | | dishwasher | 83.78 | 88.82 | | screen | 57.06 | 91.79 | | blanket | 40.73 | 50.75 | | sculpture | 75.16 | 89.08 | | hood | 71.4 | 77.98 | | sconce | 63.74 | 77.17 | | vase | 57.21 | 76.13 | | traffic light | 47.87 | 72.41 | | tray | 24.12 | 41.55 | | ashcan | 52.08 | 76.73 | | fan | 70.07 | 83.52 | | pier | 37.57 | 41.87 | | crt screen | 1.56 | 3.94 | | plate | 62.88 | 78.47 | | monitor | 3.08 | 4.28 | | bulletin board | 62.88 | 79.82 | | shower | 21.6 | 26.98 | | radiator | 69.19 | 86.51 | | glass | 24.2 | 26.73 | | clock | 57.46 | 69.04 | | flag | 74.1 | 82.87 | +---------------------+-------+-------+ 2023-11-22 11:36:11,516 - mmseg - INFO - Summary: 2023-11-22 11:36:11,516 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 84.59 | 54.8 | 68.86 | +-------+------+-------+ 2023-11-22 11:36:11,517 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 11:36:11,517 - mmseg - INFO - Iter(val) [250] aAcc: 0.8459, mIoU: 0.5480, mAcc: 0.6886, IoU.wall: 0.8034, IoU.building: 0.8204, IoU.sky: 0.9502, IoU.floor: 0.8376, IoU.tree: 0.7654, IoU.ceiling: 0.8613, IoU.road: 0.8739, IoU.bed : 0.9141, IoU.windowpane: 0.6400, IoU.grass: 0.6463, IoU.cabinet: 0.6440, IoU.sidewalk: 0.6886, IoU.person: 0.8622, IoU.earth: 0.3865, IoU.door: 0.5150, IoU.table: 0.7023, IoU.mountain: 0.5317, IoU.plant: 0.5497, IoU.curtain: 0.7718, IoU.chair: 0.6504, IoU.car: 0.8822, IoU.water: 0.5782, IoU.painting: 0.7647, IoU.sofa: 0.7535, IoU.shelf: 0.4700, IoU.house: 0.3976, IoU.sea: 0.6196, IoU.mirror: 0.7469, IoU.rug: 0.6794, IoU.field: 0.3802, IoU.armchair: 0.5154, IoU.seat: 0.6363, IoU.fence: 0.4744, IoU.desk: 0.5776, IoU.rock: 0.5114, IoU.wardrobe: 0.5391, IoU.lamp: 0.7291, IoU.bathtub: 0.7976, IoU.railing: 0.3838, IoU.cushion: 0.6628, IoU.base: 0.4332, IoU.box: 0.3152, IoU.column: 0.5357, IoU.signboard: 0.4196, IoU.chest of drawers: 0.3949, IoU.counter: 0.3850, IoU.sand: 0.4514, IoU.sink: 0.8062, IoU.skyscraper: 0.6147, IoU.fireplace: 0.7708, IoU.refrigerator: 0.8552, IoU.grandstand: 0.4070, IoU.path: 0.2204, IoU.stairs: 0.3946, IoU.runway: 0.7220, IoU.case: 0.6770, IoU.pool table: 0.9429, IoU.pillow: 0.6063, IoU.screen door: 0.6447, IoU.stairway: 0.3989, IoU.river: 0.1780, IoU.bridge: 0.7830, IoU.bookcase: 0.2931, IoU.blind: 0.4195, IoU.coffee table: 0.7194, IoU.toilet: 0.9134, IoU.flower: 0.4853, IoU.book: 0.5225, IoU.hill: 0.0805, IoU.bench: 0.6463, IoU.countertop: 0.5969, IoU.stove: 0.8464, IoU.palm: 0.5520, IoU.kitchen island: 0.4951, IoU.computer: 0.7256, IoU.swivel chair: 0.4819, IoU.boat: 0.3392, IoU.bar: 0.6208, IoU.arcade machine: 0.6323, IoU.hovel: 0.4473, IoU.bus: 0.9465, IoU.towel: 0.7687, IoU.light: 0.6593, IoU.truck: 0.4154, IoU.tower: 0.3569, IoU.chandelier: 0.7076, IoU.awning: 0.4451, IoU.streetlight: 0.4661, IoU.booth: 0.4697, IoU.television receiver: 0.7806, IoU.airplane: 0.7481, IoU.dirt track: 0.1350, IoU.apparel: 0.3416, IoU.pole: 0.3809, IoU.land: 0.0483, IoU.bannister: 0.2189, IoU.escalator: 0.2478, IoU.ottoman: 0.5285, IoU.bottle: 0.4009, IoU.buffet: 0.3268, IoU.poster: 0.3828, IoU.stage: 0.2420, IoU.van: 0.4796, IoU.ship: 0.0552, IoU.fountain: 0.2156, IoU.conveyer belt: 0.6503, IoU.canopy: 0.3298, IoU.washer: 0.7292, IoU.plaything: 0.3279, IoU.swimming pool: 0.5534, IoU.stool: 0.5632, IoU.barrel: 0.4610, IoU.basket: 0.4211, IoU.waterfall: 0.6611, IoU.tent: 0.8817, IoU.bag: 0.2840, IoU.minibike: 0.7206, IoU.cradle: 0.8109, IoU.oven: 0.3011, IoU.ball: 0.5807, IoU.food: 0.5684, IoU.step: 0.2876, IoU.tank: 0.6164, IoU.trade name: 0.2930, IoU.microwave: 0.4362, IoU.pot: 0.5547, IoU.animal: 0.5507, IoU.bicycle: 0.5756, IoU.lake: 0.4134, IoU.dishwasher: 0.8378, IoU.screen: 0.5706, IoU.blanket: 0.4073, IoU.sculpture: 0.7516, IoU.hood: 0.7140, IoU.sconce: 0.6374, IoU.vase: 0.5721, IoU.traffic light: 0.4787, IoU.tray: 0.2412, IoU.ashcan: 0.5208, IoU.fan: 0.7007, IoU.pier: 0.3757, IoU.crt screen: 0.0156, IoU.plate: 0.6288, IoU.monitor: 0.0308, IoU.bulletin board: 0.6288, IoU.shower: 0.2160, IoU.radiator: 0.6919, IoU.glass: 0.2420, IoU.clock: 0.5746, IoU.flag: 0.7410, Acc.wall: 0.8709, Acc.building: 0.9087, Acc.sky: 0.9738, Acc.floor: 0.9067, Acc.tree: 0.8794, Acc.ceiling: 0.9346, Acc.road: 0.9074, Acc.bed : 0.9613, Acc.windowpane: 0.8042, Acc.grass: 0.7197, Acc.cabinet: 0.8094, Acc.sidewalk: 0.8467, Acc.person: 0.9270, Acc.earth: 0.6580, Acc.door: 0.7019, Acc.table: 0.8210, Acc.mountain: 0.6622, Acc.plant: 0.6914, Acc.curtain: 0.8729, Acc.chair: 0.7478, Acc.car: 0.9440, Acc.water: 0.6733, Acc.painting: 0.9047, Acc.sofa: 0.8934, Acc.shelf: 0.6364, Acc.house: 0.6783, Acc.sea: 0.9061, Acc.mirror: 0.8377, Acc.rug: 0.8062, Acc.field: 0.5522, Acc.armchair: 0.7191, Acc.seat: 0.8374, Acc.fence: 0.6845, Acc.desk: 0.8151, Acc.rock: 0.6940, Acc.wardrobe: 0.7581, Acc.lamp: 0.8304, Acc.bathtub: 0.8619, Acc.railing: 0.5638, Acc.cushion: 0.7980, Acc.base: 0.7550, Acc.box: 0.4087, Acc.column: 0.6995, Acc.signboard: 0.5958, Acc.chest of drawers: 0.5060, Acc.counter: 0.4725, Acc.sand: 0.5921, Acc.sink: 0.8601, Acc.skyscraper: 0.7795, Acc.fireplace: 0.8848, Acc.refrigerator: 0.9105, Acc.grandstand: 0.7469, Acc.path: 0.3283, Acc.stairs: 0.4843, Acc.runway: 0.9106, Acc.case: 0.8709, Acc.pool table: 0.9801, Acc.pillow: 0.7179, Acc.screen door: 0.6996, Acc.stairway: 0.4815, Acc.river: 0.3331, Acc.bridge: 0.9038, Acc.bookcase: 0.4828, Acc.blind: 0.5031, Acc.coffee table: 0.8661, Acc.toilet: 0.9368, Acc.flower: 0.6689, Acc.book: 0.7164, Acc.hill: 0.1580, Acc.bench: 0.7249, Acc.countertop: 0.7398, Acc.stove: 0.8836, Acc.palm: 0.8206, Acc.kitchen island: 0.7824, Acc.computer: 0.7951, Acc.swivel chair: 0.6682, Acc.boat: 0.5651, Acc.bar: 0.6982, Acc.arcade machine: 0.6669, Acc.hovel: 0.4941, Acc.bus: 0.9721, Acc.towel: 0.8805, Acc.light: 0.7751, Acc.truck: 0.5277, Acc.tower: 0.6115, Acc.chandelier: 0.8866, Acc.awning: 0.6220, Acc.streetlight: 0.6655, Acc.booth: 0.5648, Acc.television receiver: 0.8795, Acc.airplane: 0.7919, Acc.dirt track: 0.3579, Acc.apparel: 0.6759, Acc.pole: 0.6086, Acc.land: 0.0734, Acc.bannister: 0.3059, Acc.escalator: 0.2739, Acc.ottoman: 0.7244, Acc.bottle: 0.6410, Acc.buffet: 0.3840, Acc.poster: 0.4638, Acc.stage: 0.4645, Acc.van: 0.6480, Acc.ship: 0.0886, Acc.fountain: 0.2189, Acc.conveyer belt: 0.9186, Acc.canopy: 0.5516, Acc.washer: 0.7482, Acc.plaything: 0.5812, Acc.swimming pool: 0.7175, Acc.stool: 0.8053, Acc.barrel: 0.9821, Acc.basket: 0.5888, Acc.waterfall: 0.9282, Acc.tent: 0.9806, Acc.bag: 0.4113, Acc.minibike: 0.9093, Acc.cradle: 0.9821, Acc.oven: 0.8264, Acc.ball: 0.6572, Acc.food: 0.6302, Acc.step: 0.4429, Acc.tank: 0.6579, Acc.trade name: 0.3702, Acc.microwave: 0.4636, Acc.pot: 0.6587, Acc.animal: 0.5623, Acc.bicycle: 0.8094, Acc.lake: 0.6366, Acc.dishwasher: 0.8882, Acc.screen: 0.9179, Acc.blanket: 0.5075, Acc.sculpture: 0.8908, Acc.hood: 0.7798, Acc.sconce: 0.7717, Acc.vase: 0.7613, Acc.traffic light: 0.7241, Acc.tray: 0.4155, Acc.ashcan: 0.7673, Acc.fan: 0.8352, Acc.pier: 0.4187, Acc.crt screen: 0.0394, Acc.plate: 0.7847, Acc.monitor: 0.0428, Acc.bulletin board: 0.7982, Acc.shower: 0.2698, Acc.radiator: 0.8651, Acc.glass: 0.2673, Acc.clock: 0.6904, Acc.flag: 0.8287 2023-11-22 11:36:40,254 - mmseg - INFO - Iter [88050/160000] lr: 4.283e-06, eta: 11:43:44, time: 0.974, data_time: 0.413, memory: 38143, decode.loss_cls: 0.2445, decode.loss_mask: 0.4992, decode.loss_dice: 0.7463, decode.d0.loss_cls: 1.3690, decode.d0.loss_mask: 0.5309, decode.d0.loss_dice: 0.8364, decode.d1.loss_cls: 0.3306, decode.d1.loss_mask: 0.5180, decode.d1.loss_dice: 0.7891, decode.d2.loss_cls: 0.2812, decode.d2.loss_mask: 0.5083, decode.d2.loss_dice: 0.7679, decode.d3.loss_cls: 0.2664, decode.d3.loss_mask: 0.5027, decode.d3.loss_dice: 0.7524, decode.d4.loss_cls: 0.2605, decode.d4.loss_mask: 0.5020, decode.d4.loss_dice: 0.7556, decode.d5.loss_cls: 0.2499, decode.d5.loss_mask: 0.5017, decode.d5.loss_dice: 0.7579, decode.d6.loss_cls: 0.2487, decode.d6.loss_mask: 0.5016, decode.d6.loss_dice: 0.7463, decode.d7.loss_cls: 0.2424, decode.d7.loss_mask: 0.5001, decode.d7.loss_dice: 0.7490, decode.d8.loss_cls: 0.2452, decode.d8.loss_mask: 0.4994, decode.d8.loss_dice: 0.7480, loss: 16.4512, grad_norm: 76.3846 2023-11-22 11:37:08,604 - mmseg - INFO - Iter [88100/160000] lr: 4.280e-06, eta: 11:43:13, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2377, decode.loss_mask: 0.5129, decode.loss_dice: 0.7527, decode.d0.loss_cls: 1.3697, decode.d0.loss_mask: 0.5499, decode.d0.loss_dice: 0.8494, decode.d1.loss_cls: 0.3276, decode.d1.loss_mask: 0.5339, decode.d1.loss_dice: 0.7979, decode.d2.loss_cls: 0.2735, decode.d2.loss_mask: 0.5212, decode.d2.loss_dice: 0.7735, decode.d3.loss_cls: 0.2617, decode.d3.loss_mask: 0.5160, decode.d3.loss_dice: 0.7594, decode.d4.loss_cls: 0.2524, decode.d4.loss_mask: 0.5160, decode.d4.loss_dice: 0.7596, decode.d5.loss_cls: 0.2559, decode.d5.loss_mask: 0.5140, decode.d5.loss_dice: 0.7565, decode.d6.loss_cls: 0.2537, decode.d6.loss_mask: 0.5146, decode.d6.loss_dice: 0.7536, decode.d7.loss_cls: 0.2497, decode.d7.loss_mask: 0.5127, decode.d7.loss_dice: 0.7505, decode.d8.loss_cls: 0.2462, decode.d8.loss_mask: 0.5127, decode.d8.loss_dice: 0.7521, loss: 16.6370, grad_norm: 70.5558 2023-11-22 11:37:37,016 - mmseg - INFO - Iter [88150/160000] lr: 4.277e-06, eta: 11:42:43, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2501, decode.loss_mask: 0.4804, decode.loss_dice: 0.7171, decode.d0.loss_cls: 1.3627, decode.d0.loss_mask: 0.5155, decode.d0.loss_dice: 0.8068, decode.d1.loss_cls: 0.3384, decode.d1.loss_mask: 0.4994, decode.d1.loss_dice: 0.7517, decode.d2.loss_cls: 0.2893, decode.d2.loss_mask: 0.4883, decode.d2.loss_dice: 0.7369, decode.d3.loss_cls: 0.2733, decode.d3.loss_mask: 0.4813, decode.d3.loss_dice: 0.7213, decode.d4.loss_cls: 0.2613, decode.d4.loss_mask: 0.4836, decode.d4.loss_dice: 0.7222, decode.d5.loss_cls: 0.2581, decode.d5.loss_mask: 0.4814, decode.d5.loss_dice: 0.7207, decode.d6.loss_cls: 0.2555, decode.d6.loss_mask: 0.4797, decode.d6.loss_dice: 0.7223, decode.d7.loss_cls: 0.2530, decode.d7.loss_mask: 0.4806, decode.d7.loss_dice: 0.7209, decode.d8.loss_cls: 0.2496, decode.d8.loss_mask: 0.4799, decode.d8.loss_dice: 0.7217, loss: 16.0028, grad_norm: 67.9853 2023-11-22 11:38:05,379 - mmseg - INFO - Iter [88200/160000] lr: 4.274e-06, eta: 11:42:13, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2548, decode.loss_mask: 0.4942, decode.loss_dice: 0.7356, decode.d0.loss_cls: 1.3475, decode.d0.loss_mask: 0.5244, decode.d0.loss_dice: 0.8171, decode.d1.loss_cls: 0.3315, decode.d1.loss_mask: 0.5117, decode.d1.loss_dice: 0.7763, decode.d2.loss_cls: 0.2893, decode.d2.loss_mask: 0.5007, decode.d2.loss_dice: 0.7539, decode.d3.loss_cls: 0.2826, decode.d3.loss_mask: 0.4968, decode.d3.loss_dice: 0.7438, decode.d4.loss_cls: 0.2716, decode.d4.loss_mask: 0.4955, decode.d4.loss_dice: 0.7416, decode.d5.loss_cls: 0.2616, decode.d5.loss_mask: 0.4949, decode.d5.loss_dice: 0.7429, decode.d6.loss_cls: 0.2601, decode.d6.loss_mask: 0.4939, decode.d6.loss_dice: 0.7380, decode.d7.loss_cls: 0.2574, decode.d7.loss_mask: 0.4936, decode.d7.loss_dice: 0.7392, decode.d8.loss_cls: 0.2557, decode.d8.loss_mask: 0.4931, decode.d8.loss_dice: 0.7378, loss: 16.3370, grad_norm: 72.8195 2023-11-22 11:38:33,657 - mmseg - INFO - Iter [88250/160000] lr: 4.271e-06, eta: 11:41:43, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2531, decode.loss_mask: 0.4971, decode.loss_dice: 0.7432, decode.d0.loss_cls: 1.3786, decode.d0.loss_mask: 0.5384, decode.d0.loss_dice: 0.8515, decode.d1.loss_cls: 0.3405, decode.d1.loss_mask: 0.5185, decode.d1.loss_dice: 0.7926, decode.d2.loss_cls: 0.2942, decode.d2.loss_mask: 0.5076, decode.d2.loss_dice: 0.7718, decode.d3.loss_cls: 0.2778, decode.d3.loss_mask: 0.4997, decode.d3.loss_dice: 0.7547, decode.d4.loss_cls: 0.2681, decode.d4.loss_mask: 0.4990, decode.d4.loss_dice: 0.7564, decode.d5.loss_cls: 0.2671, decode.d5.loss_mask: 0.5000, decode.d5.loss_dice: 0.7574, decode.d6.loss_cls: 0.2560, decode.d6.loss_mask: 0.4994, decode.d6.loss_dice: 0.7507, decode.d7.loss_cls: 0.2571, decode.d7.loss_mask: 0.4969, decode.d7.loss_dice: 0.7519, decode.d8.loss_cls: 0.2488, decode.d8.loss_mask: 0.4973, decode.d8.loss_dice: 0.7488, loss: 16.5742, grad_norm: 67.8203 2023-11-22 11:39:02,119 - mmseg - INFO - Iter [88300/160000] lr: 4.268e-06, eta: 11:41:13, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2519, decode.loss_mask: 0.4859, decode.loss_dice: 0.7242, decode.d0.loss_cls: 1.3690, decode.d0.loss_mask: 0.5168, decode.d0.loss_dice: 0.8138, decode.d1.loss_cls: 0.3471, decode.d1.loss_mask: 0.5007, decode.d1.loss_dice: 0.7683, decode.d2.loss_cls: 0.2927, decode.d2.loss_mask: 0.4909, decode.d2.loss_dice: 0.7468, decode.d3.loss_cls: 0.2706, decode.d3.loss_mask: 0.4904, decode.d3.loss_dice: 0.7341, decode.d4.loss_cls: 0.2665, decode.d4.loss_mask: 0.4869, decode.d4.loss_dice: 0.7305, decode.d5.loss_cls: 0.2626, decode.d5.loss_mask: 0.4864, decode.d5.loss_dice: 0.7307, decode.d6.loss_cls: 0.2611, decode.d6.loss_mask: 0.4857, decode.d6.loss_dice: 0.7281, decode.d7.loss_cls: 0.2564, decode.d7.loss_mask: 0.4859, decode.d7.loss_dice: 0.7298, decode.d8.loss_cls: 0.2584, decode.d8.loss_mask: 0.4860, decode.d8.loss_dice: 0.7266, loss: 16.1845, grad_norm: 71.4437 2023-11-22 11:39:30,808 - mmseg - INFO - Iter [88350/160000] lr: 4.265e-06, eta: 11:40:43, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2629, decode.loss_mask: 0.4977, decode.loss_dice: 0.7509, decode.d0.loss_cls: 1.3804, decode.d0.loss_mask: 0.5361, decode.d0.loss_dice: 0.8411, decode.d1.loss_cls: 0.3443, decode.d1.loss_mask: 0.5173, decode.d1.loss_dice: 0.7953, decode.d2.loss_cls: 0.3053, decode.d2.loss_mask: 0.5071, decode.d2.loss_dice: 0.7745, decode.d3.loss_cls: 0.2788, decode.d3.loss_mask: 0.5037, decode.d3.loss_dice: 0.7631, decode.d4.loss_cls: 0.2746, decode.d4.loss_mask: 0.5014, decode.d4.loss_dice: 0.7601, decode.d5.loss_cls: 0.2718, decode.d5.loss_mask: 0.5019, decode.d5.loss_dice: 0.7628, decode.d6.loss_cls: 0.2664, decode.d6.loss_mask: 0.5000, decode.d6.loss_dice: 0.7546, decode.d7.loss_cls: 0.2660, decode.d7.loss_mask: 0.4986, decode.d7.loss_dice: 0.7528, decode.d8.loss_cls: 0.2640, decode.d8.loss_mask: 0.4977, decode.d8.loss_dice: 0.7492, loss: 16.6804, grad_norm: 69.8608 2023-11-22 11:39:59,115 - mmseg - INFO - Iter [88400/160000] lr: 4.262e-06, eta: 11:40:13, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2592, decode.loss_mask: 0.5000, decode.loss_dice: 0.7462, decode.d0.loss_cls: 1.3697, decode.d0.loss_mask: 0.5305, decode.d0.loss_dice: 0.8358, decode.d1.loss_cls: 0.3393, decode.d1.loss_mask: 0.5173, decode.d1.loss_dice: 0.7902, decode.d2.loss_cls: 0.2859, decode.d2.loss_mask: 0.5120, decode.d2.loss_dice: 0.7676, decode.d3.loss_cls: 0.2697, decode.d3.loss_mask: 0.5075, decode.d3.loss_dice: 0.7575, decode.d4.loss_cls: 0.2711, decode.d4.loss_mask: 0.5001, decode.d4.loss_dice: 0.7525, decode.d5.loss_cls: 0.2650, decode.d5.loss_mask: 0.4985, decode.d5.loss_dice: 0.7515, decode.d6.loss_cls: 0.2598, decode.d6.loss_mask: 0.5004, decode.d6.loss_dice: 0.7486, decode.d7.loss_cls: 0.2573, decode.d7.loss_mask: 0.4988, decode.d7.loss_dice: 0.7454, decode.d8.loss_cls: 0.2549, decode.d8.loss_mask: 0.4993, decode.d8.loss_dice: 0.7475, loss: 16.5390, grad_norm: 70.1627 2023-11-22 11:40:29,862 - mmseg - INFO - Iter [88450/160000] lr: 4.259e-06, eta: 11:39:45, time: 0.615, data_time: 0.057, memory: 38143, decode.loss_cls: 0.2325, decode.loss_mask: 0.5001, decode.loss_dice: 0.7437, decode.d0.loss_cls: 1.3488, decode.d0.loss_mask: 0.5303, decode.d0.loss_dice: 0.8291, decode.d1.loss_cls: 0.3197, decode.d1.loss_mask: 0.5181, decode.d1.loss_dice: 0.7832, decode.d2.loss_cls: 0.2649, decode.d2.loss_mask: 0.5111, decode.d2.loss_dice: 0.7653, decode.d3.loss_cls: 0.2563, decode.d3.loss_mask: 0.5034, decode.d3.loss_dice: 0.7494, decode.d4.loss_cls: 0.2476, decode.d4.loss_mask: 0.5060, decode.d4.loss_dice: 0.7496, decode.d5.loss_cls: 0.2425, decode.d5.loss_mask: 0.5037, decode.d5.loss_dice: 0.7457, decode.d6.loss_cls: 0.2364, decode.d6.loss_mask: 0.5025, decode.d6.loss_dice: 0.7465, decode.d7.loss_cls: 0.2337, decode.d7.loss_mask: 0.5014, decode.d7.loss_dice: 0.7478, decode.d8.loss_cls: 0.2332, decode.d8.loss_mask: 0.5012, decode.d8.loss_dice: 0.7441, loss: 16.2977, grad_norm: 69.9116 2023-11-22 11:40:58,250 - mmseg - INFO - Iter [88500/160000] lr: 4.256e-06, eta: 11:39:15, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2660, decode.loss_mask: 0.4924, decode.loss_dice: 0.7444, decode.d0.loss_cls: 1.3927, decode.d0.loss_mask: 0.5286, decode.d0.loss_dice: 0.8356, decode.d1.loss_cls: 0.3477, decode.d1.loss_mask: 0.5134, decode.d1.loss_dice: 0.7835, decode.d2.loss_cls: 0.2952, decode.d2.loss_mask: 0.5029, decode.d2.loss_dice: 0.7685, decode.d3.loss_cls: 0.2821, decode.d3.loss_mask: 0.4953, decode.d3.loss_dice: 0.7511, decode.d4.loss_cls: 0.2737, decode.d4.loss_mask: 0.4946, decode.d4.loss_dice: 0.7512, decode.d5.loss_cls: 0.2770, decode.d5.loss_mask: 0.4953, decode.d5.loss_dice: 0.7464, decode.d6.loss_cls: 0.2742, decode.d6.loss_mask: 0.4916, decode.d6.loss_dice: 0.7441, decode.d7.loss_cls: 0.2622, decode.d7.loss_mask: 0.4912, decode.d7.loss_dice: 0.7462, decode.d8.loss_cls: 0.2678, decode.d8.loss_mask: 0.4929, decode.d8.loss_dice: 0.7510, loss: 16.5590, grad_norm: 73.1344 2023-11-22 11:41:26,514 - mmseg - INFO - Iter [88550/160000] lr: 4.254e-06, eta: 11:38:44, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2507, decode.loss_mask: 0.4814, decode.loss_dice: 0.7371, decode.d0.loss_cls: 1.3910, decode.d0.loss_mask: 0.5134, decode.d0.loss_dice: 0.8281, decode.d1.loss_cls: 0.3464, decode.d1.loss_mask: 0.4993, decode.d1.loss_dice: 0.7757, decode.d2.loss_cls: 0.2951, decode.d2.loss_mask: 0.4902, decode.d2.loss_dice: 0.7578, decode.d3.loss_cls: 0.2713, decode.d3.loss_mask: 0.4860, decode.d3.loss_dice: 0.7433, decode.d4.loss_cls: 0.2675, decode.d4.loss_mask: 0.4840, decode.d4.loss_dice: 0.7362, decode.d5.loss_cls: 0.2627, decode.d5.loss_mask: 0.4845, decode.d5.loss_dice: 0.7335, decode.d6.loss_cls: 0.2573, decode.d6.loss_mask: 0.4822, decode.d6.loss_dice: 0.7304, decode.d7.loss_cls: 0.2590, decode.d7.loss_mask: 0.4816, decode.d7.loss_dice: 0.7341, decode.d8.loss_cls: 0.2564, decode.d8.loss_mask: 0.4818, decode.d8.loss_dice: 0.7345, loss: 16.2525, grad_norm: 65.0468 2023-11-22 11:41:54,951 - mmseg - INFO - Iter [88600/160000] lr: 4.251e-06, eta: 11:38:14, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2472, decode.loss_mask: 0.4804, decode.loss_dice: 0.7208, decode.d0.loss_cls: 1.3343, decode.d0.loss_mask: 0.5176, decode.d0.loss_dice: 0.8162, decode.d1.loss_cls: 0.3246, decode.d1.loss_mask: 0.4992, decode.d1.loss_dice: 0.7687, decode.d2.loss_cls: 0.2802, decode.d2.loss_mask: 0.4917, decode.d2.loss_dice: 0.7461, decode.d3.loss_cls: 0.2631, decode.d3.loss_mask: 0.4862, decode.d3.loss_dice: 0.7281, decode.d4.loss_cls: 0.2550, decode.d4.loss_mask: 0.4874, decode.d4.loss_dice: 0.7287, decode.d5.loss_cls: 0.2576, decode.d5.loss_mask: 0.4864, decode.d5.loss_dice: 0.7268, decode.d6.loss_cls: 0.2498, decode.d6.loss_mask: 0.4857, decode.d6.loss_dice: 0.7224, decode.d7.loss_cls: 0.2498, decode.d7.loss_mask: 0.4863, decode.d7.loss_dice: 0.7270, decode.d8.loss_cls: 0.2456, decode.d8.loss_mask: 0.4841, decode.d8.loss_dice: 0.7267, loss: 16.0238, grad_norm: 68.5718 2023-11-22 11:42:23,791 - mmseg - INFO - Iter [88650/160000] lr: 4.248e-06, eta: 11:37:45, time: 0.577, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2521, decode.loss_mask: 0.4851, decode.loss_dice: 0.7307, decode.d0.loss_cls: 1.3728, decode.d0.loss_mask: 0.5178, decode.d0.loss_dice: 0.8175, decode.d1.loss_cls: 0.3381, decode.d1.loss_mask: 0.5041, decode.d1.loss_dice: 0.7735, decode.d2.loss_cls: 0.2893, decode.d2.loss_mask: 0.4952, decode.d2.loss_dice: 0.7527, decode.d3.loss_cls: 0.2712, decode.d3.loss_mask: 0.4909, decode.d3.loss_dice: 0.7417, decode.d4.loss_cls: 0.2641, decode.d4.loss_mask: 0.4893, decode.d4.loss_dice: 0.7392, decode.d5.loss_cls: 0.2591, decode.d5.loss_mask: 0.4872, decode.d5.loss_dice: 0.7381, decode.d6.loss_cls: 0.2578, decode.d6.loss_mask: 0.4871, decode.d6.loss_dice: 0.7294, decode.d7.loss_cls: 0.2570, decode.d7.loss_mask: 0.4848, decode.d7.loss_dice: 0.7311, decode.d8.loss_cls: 0.2553, decode.d8.loss_mask: 0.4872, decode.d8.loss_dice: 0.7330, loss: 16.2323, grad_norm: 69.0592 2023-11-22 11:42:52,200 - mmseg - INFO - Iter [88700/160000] lr: 4.245e-06, eta: 11:37:15, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2415, decode.loss_mask: 0.4950, decode.loss_dice: 0.7421, decode.d0.loss_cls: 1.3275, decode.d0.loss_mask: 0.5338, decode.d0.loss_dice: 0.8395, decode.d1.loss_cls: 0.3400, decode.d1.loss_mask: 0.5137, decode.d1.loss_dice: 0.7874, decode.d2.loss_cls: 0.2791, decode.d2.loss_mask: 0.5048, decode.d2.loss_dice: 0.7668, decode.d3.loss_cls: 0.2662, decode.d3.loss_mask: 0.5011, decode.d3.loss_dice: 0.7483, decode.d4.loss_cls: 0.2531, decode.d4.loss_mask: 0.4984, decode.d4.loss_dice: 0.7538, decode.d5.loss_cls: 0.2563, decode.d5.loss_mask: 0.4975, decode.d5.loss_dice: 0.7501, decode.d6.loss_cls: 0.2551, decode.d6.loss_mask: 0.4954, decode.d6.loss_dice: 0.7440, decode.d7.loss_cls: 0.2452, decode.d7.loss_mask: 0.4954, decode.d7.loss_dice: 0.7494, decode.d8.loss_cls: 0.2401, decode.d8.loss_mask: 0.4965, decode.d8.loss_dice: 0.7479, loss: 16.3650, grad_norm: 73.4448 2023-11-22 11:43:20,572 - mmseg - INFO - Iter [88750/160000] lr: 4.242e-06, eta: 11:36:44, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2361, decode.loss_mask: 0.5126, decode.loss_dice: 0.7302, decode.d0.loss_cls: 1.3520, decode.d0.loss_mask: 0.5466, decode.d0.loss_dice: 0.8127, decode.d1.loss_cls: 0.3156, decode.d1.loss_mask: 0.5317, decode.d1.loss_dice: 0.7652, decode.d2.loss_cls: 0.2684, decode.d2.loss_mask: 0.5211, decode.d2.loss_dice: 0.7457, decode.d3.loss_cls: 0.2498, decode.d3.loss_mask: 0.5163, decode.d3.loss_dice: 0.7339, decode.d4.loss_cls: 0.2439, decode.d4.loss_mask: 0.5173, decode.d4.loss_dice: 0.7373, decode.d5.loss_cls: 0.2432, decode.d5.loss_mask: 0.5140, decode.d5.loss_dice: 0.7302, decode.d6.loss_cls: 0.2398, decode.d6.loss_mask: 0.5145, decode.d6.loss_dice: 0.7288, decode.d7.loss_cls: 0.2349, decode.d7.loss_mask: 0.5129, decode.d7.loss_dice: 0.7324, decode.d8.loss_cls: 0.2410, decode.d8.loss_mask: 0.5114, decode.d8.loss_dice: 0.7273, loss: 16.2669, grad_norm: 68.8932 2023-11-22 11:43:48,980 - mmseg - INFO - Iter [88800/160000] lr: 4.239e-06, eta: 11:36:14, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2584, decode.loss_mask: 0.4986, decode.loss_dice: 0.7507, decode.d0.loss_cls: 1.3670, decode.d0.loss_mask: 0.5392, decode.d0.loss_dice: 0.8403, decode.d1.loss_cls: 0.3493, decode.d1.loss_mask: 0.5217, decode.d1.loss_dice: 0.7981, decode.d2.loss_cls: 0.3020, decode.d2.loss_mask: 0.5085, decode.d2.loss_dice: 0.7764, decode.d3.loss_cls: 0.2904, decode.d3.loss_mask: 0.5047, decode.d3.loss_dice: 0.7545, decode.d4.loss_cls: 0.2795, decode.d4.loss_mask: 0.5004, decode.d4.loss_dice: 0.7566, decode.d5.loss_cls: 0.2735, decode.d5.loss_mask: 0.4998, decode.d5.loss_dice: 0.7541, decode.d6.loss_cls: 0.2702, decode.d6.loss_mask: 0.4995, decode.d6.loss_dice: 0.7506, decode.d7.loss_cls: 0.2638, decode.d7.loss_mask: 0.5001, decode.d7.loss_dice: 0.7505, decode.d8.loss_cls: 0.2625, decode.d8.loss_mask: 0.4990, decode.d8.loss_dice: 0.7497, loss: 16.6696, grad_norm: 68.9442 2023-11-22 11:44:17,339 - mmseg - INFO - Iter [88850/160000] lr: 4.236e-06, eta: 11:35:44, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2416, decode.loss_mask: 0.4983, decode.loss_dice: 0.7260, decode.d0.loss_cls: 1.3356, decode.d0.loss_mask: 0.5387, decode.d0.loss_dice: 0.8074, decode.d1.loss_cls: 0.3306, decode.d1.loss_mask: 0.5219, decode.d1.loss_dice: 0.7614, decode.d2.loss_cls: 0.2745, decode.d2.loss_mask: 0.5113, decode.d2.loss_dice: 0.7412, decode.d3.loss_cls: 0.2621, decode.d3.loss_mask: 0.5052, decode.d3.loss_dice: 0.7308, decode.d4.loss_cls: 0.2545, decode.d4.loss_mask: 0.5033, decode.d4.loss_dice: 0.7330, decode.d5.loss_cls: 0.2474, decode.d5.loss_mask: 0.5031, decode.d5.loss_dice: 0.7309, decode.d6.loss_cls: 0.2492, decode.d6.loss_mask: 0.4993, decode.d6.loss_dice: 0.7245, decode.d7.loss_cls: 0.2468, decode.d7.loss_mask: 0.5010, decode.d7.loss_dice: 0.7216, decode.d8.loss_cls: 0.2404, decode.d8.loss_mask: 0.5008, decode.d8.loss_dice: 0.7235, loss: 16.1659, grad_norm: 70.4521 2023-11-22 11:44:45,664 - mmseg - INFO - Iter [88900/160000] lr: 4.233e-06, eta: 11:35:14, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2443, decode.loss_mask: 0.4817, decode.loss_dice: 0.7151, decode.d0.loss_cls: 1.3497, decode.d0.loss_mask: 0.5194, decode.d0.loss_dice: 0.8158, decode.d1.loss_cls: 0.3173, decode.d1.loss_mask: 0.5045, decode.d1.loss_dice: 0.7667, decode.d2.loss_cls: 0.2699, decode.d2.loss_mask: 0.4919, decode.d2.loss_dice: 0.7477, decode.d3.loss_cls: 0.2620, decode.d3.loss_mask: 0.4857, decode.d3.loss_dice: 0.7286, decode.d4.loss_cls: 0.2490, decode.d4.loss_mask: 0.4855, decode.d4.loss_dice: 0.7290, decode.d5.loss_cls: 0.2437, decode.d5.loss_mask: 0.4865, decode.d5.loss_dice: 0.7310, decode.d6.loss_cls: 0.2438, decode.d6.loss_mask: 0.4855, decode.d6.loss_dice: 0.7249, decode.d7.loss_cls: 0.2456, decode.d7.loss_mask: 0.4835, decode.d7.loss_dice: 0.7233, decode.d8.loss_cls: 0.2443, decode.d8.loss_mask: 0.4835, decode.d8.loss_dice: 0.7238, loss: 15.9834, grad_norm: 68.0681 2023-11-22 11:45:14,559 - mmseg - INFO - Iter [88950/160000] lr: 4.230e-06, eta: 11:34:44, time: 0.578, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2477, decode.loss_mask: 0.4803, decode.loss_dice: 0.7219, decode.d0.loss_cls: 1.3457, decode.d0.loss_mask: 0.5191, decode.d0.loss_dice: 0.8112, decode.d1.loss_cls: 0.3404, decode.d1.loss_mask: 0.4972, decode.d1.loss_dice: 0.7667, decode.d2.loss_cls: 0.2893, decode.d2.loss_mask: 0.4873, decode.d2.loss_dice: 0.7384, decode.d3.loss_cls: 0.2746, decode.d3.loss_mask: 0.4808, decode.d3.loss_dice: 0.7228, decode.d4.loss_cls: 0.2649, decode.d4.loss_mask: 0.4833, decode.d4.loss_dice: 0.7260, decode.d5.loss_cls: 0.2546, decode.d5.loss_mask: 0.4811, decode.d5.loss_dice: 0.7276, decode.d6.loss_cls: 0.2649, decode.d6.loss_mask: 0.4788, decode.d6.loss_dice: 0.7211, decode.d7.loss_cls: 0.2495, decode.d7.loss_mask: 0.4805, decode.d7.loss_dice: 0.7231, decode.d8.loss_cls: 0.2507, decode.d8.loss_mask: 0.4788, decode.d8.loss_dice: 0.7264, loss: 16.0346, grad_norm: 67.6347 2023-11-22 11:45:42,850 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 11:45:42,850 - mmseg - INFO - Iter [89000/160000] lr: 4.227e-06, eta: 11:34:14, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2393, decode.loss_mask: 0.4789, decode.loss_dice: 0.7086, decode.d0.loss_cls: 1.3818, decode.d0.loss_mask: 0.5179, decode.d0.loss_dice: 0.8006, decode.d1.loss_cls: 0.3345, decode.d1.loss_mask: 0.4965, decode.d1.loss_dice: 0.7507, decode.d2.loss_cls: 0.2821, decode.d2.loss_mask: 0.4893, decode.d2.loss_dice: 0.7330, decode.d3.loss_cls: 0.2662, decode.d3.loss_mask: 0.4805, decode.d3.loss_dice: 0.7169, decode.d4.loss_cls: 0.2551, decode.d4.loss_mask: 0.4799, decode.d4.loss_dice: 0.7184, decode.d5.loss_cls: 0.2483, decode.d5.loss_mask: 0.4815, decode.d5.loss_dice: 0.7197, decode.d6.loss_cls: 0.2455, decode.d6.loss_mask: 0.4817, decode.d6.loss_dice: 0.7188, decode.d7.loss_cls: 0.2445, decode.d7.loss_mask: 0.4812, decode.d7.loss_dice: 0.7161, decode.d8.loss_cls: 0.2404, decode.d8.loss_mask: 0.4800, decode.d8.loss_dice: 0.7143, loss: 15.9022, grad_norm: 68.7185 2023-11-22 11:46:11,178 - mmseg - INFO - Iter [89050/160000] lr: 4.224e-06, eta: 11:33:44, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2498, decode.loss_mask: 0.5096, decode.loss_dice: 0.7627, decode.d0.loss_cls: 1.3762, decode.d0.loss_mask: 0.5505, decode.d0.loss_dice: 0.8478, decode.d1.loss_cls: 0.3410, decode.d1.loss_mask: 0.5284, decode.d1.loss_dice: 0.8076, decode.d2.loss_cls: 0.2913, decode.d2.loss_mask: 0.5185, decode.d2.loss_dice: 0.7824, decode.d3.loss_cls: 0.2732, decode.d3.loss_mask: 0.5161, decode.d3.loss_dice: 0.7688, decode.d4.loss_cls: 0.2640, decode.d4.loss_mask: 0.5138, decode.d4.loss_dice: 0.7699, decode.d5.loss_cls: 0.2619, decode.d5.loss_mask: 0.5136, decode.d5.loss_dice: 0.7668, decode.d6.loss_cls: 0.2570, decode.d6.loss_mask: 0.5114, decode.d6.loss_dice: 0.7657, decode.d7.loss_cls: 0.2577, decode.d7.loss_mask: 0.5102, decode.d7.loss_dice: 0.7622, decode.d8.loss_cls: 0.2554, decode.d8.loss_mask: 0.5104, decode.d8.loss_dice: 0.7614, loss: 16.8053, grad_norm: 75.3150 2023-11-22 11:46:39,509 - mmseg - INFO - Iter [89100/160000] lr: 4.221e-06, eta: 11:33:14, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2670, decode.loss_mask: 0.4970, decode.loss_dice: 0.7308, decode.d0.loss_cls: 1.3568, decode.d0.loss_mask: 0.5388, decode.d0.loss_dice: 0.8282, decode.d1.loss_cls: 0.3521, decode.d1.loss_mask: 0.5174, decode.d1.loss_dice: 0.7760, decode.d2.loss_cls: 0.2945, decode.d2.loss_mask: 0.5078, decode.d2.loss_dice: 0.7571, decode.d3.loss_cls: 0.2754, decode.d3.loss_mask: 0.5005, decode.d3.loss_dice: 0.7460, decode.d4.loss_cls: 0.2693, decode.d4.loss_mask: 0.5002, decode.d4.loss_dice: 0.7429, decode.d5.loss_cls: 0.2646, decode.d5.loss_mask: 0.5003, decode.d5.loss_dice: 0.7439, decode.d6.loss_cls: 0.2690, decode.d6.loss_mask: 0.4973, decode.d6.loss_dice: 0.7334, decode.d7.loss_cls: 0.2612, decode.d7.loss_mask: 0.4985, decode.d7.loss_dice: 0.7353, decode.d8.loss_cls: 0.2620, decode.d8.loss_mask: 0.4986, decode.d8.loss_dice: 0.7362, loss: 16.4581, grad_norm: 68.5437 2023-11-22 11:47:07,917 - mmseg - INFO - Iter [89150/160000] lr: 4.218e-06, eta: 11:32:44, time: 0.568, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2666, decode.loss_mask: 0.5046, decode.loss_dice: 0.7499, decode.d0.loss_cls: 1.3871, decode.d0.loss_mask: 0.5375, decode.d0.loss_dice: 0.8449, decode.d1.loss_cls: 0.3655, decode.d1.loss_mask: 0.5198, decode.d1.loss_dice: 0.7926, decode.d2.loss_cls: 0.3082, decode.d2.loss_mask: 0.5110, decode.d2.loss_dice: 0.7717, decode.d3.loss_cls: 0.2851, decode.d3.loss_mask: 0.5093, decode.d3.loss_dice: 0.7594, decode.d4.loss_cls: 0.2799, decode.d4.loss_mask: 0.5089, decode.d4.loss_dice: 0.7536, decode.d5.loss_cls: 0.2717, decode.d5.loss_mask: 0.5077, decode.d5.loss_dice: 0.7546, decode.d6.loss_cls: 0.2751, decode.d6.loss_mask: 0.5052, decode.d6.loss_dice: 0.7521, decode.d7.loss_cls: 0.2694, decode.d7.loss_mask: 0.5057, decode.d7.loss_dice: 0.7523, decode.d8.loss_cls: 0.2669, decode.d8.loss_mask: 0.5054, decode.d8.loss_dice: 0.7554, loss: 16.7768, grad_norm: 73.7107 2023-11-22 11:47:36,371 - mmseg - INFO - Iter [89200/160000] lr: 4.215e-06, eta: 11:32:14, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2609, decode.loss_mask: 0.4883, decode.loss_dice: 0.7417, decode.d0.loss_cls: 1.3768, decode.d0.loss_mask: 0.5217, decode.d0.loss_dice: 0.8266, decode.d1.loss_cls: 0.3361, decode.d1.loss_mask: 0.5088, decode.d1.loss_dice: 0.7833, decode.d2.loss_cls: 0.2873, decode.d2.loss_mask: 0.5001, decode.d2.loss_dice: 0.7659, decode.d3.loss_cls: 0.2731, decode.d3.loss_mask: 0.4919, decode.d3.loss_dice: 0.7515, decode.d4.loss_cls: 0.2695, decode.d4.loss_mask: 0.4923, decode.d4.loss_dice: 0.7527, decode.d5.loss_cls: 0.2654, decode.d5.loss_mask: 0.4929, decode.d5.loss_dice: 0.7512, decode.d6.loss_cls: 0.2625, decode.d6.loss_mask: 0.4892, decode.d6.loss_dice: 0.7463, decode.d7.loss_cls: 0.2587, decode.d7.loss_mask: 0.4900, decode.d7.loss_dice: 0.7463, decode.d8.loss_cls: 0.2603, decode.d8.loss_mask: 0.4898, decode.d8.loss_dice: 0.7423, loss: 16.4236, grad_norm: 71.4066 2023-11-22 11:48:05,085 - mmseg - INFO - Iter [89250/160000] lr: 4.212e-06, eta: 11:31:44, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2672, decode.loss_mask: 0.5044, decode.loss_dice: 0.7485, decode.d0.loss_cls: 1.3916, decode.d0.loss_mask: 0.5421, decode.d0.loss_dice: 0.8386, decode.d1.loss_cls: 0.3533, decode.d1.loss_mask: 0.5297, decode.d1.loss_dice: 0.7893, decode.d2.loss_cls: 0.3081, decode.d2.loss_mask: 0.5161, decode.d2.loss_dice: 0.7738, decode.d3.loss_cls: 0.2878, decode.d3.loss_mask: 0.5081, decode.d3.loss_dice: 0.7605, decode.d4.loss_cls: 0.2772, decode.d4.loss_mask: 0.5109, decode.d4.loss_dice: 0.7601, decode.d5.loss_cls: 0.2700, decode.d5.loss_mask: 0.5063, decode.d5.loss_dice: 0.7550, decode.d6.loss_cls: 0.2695, decode.d6.loss_mask: 0.5060, decode.d6.loss_dice: 0.7501, decode.d7.loss_cls: 0.2704, decode.d7.loss_mask: 0.5047, decode.d7.loss_dice: 0.7539, decode.d8.loss_cls: 0.2649, decode.d8.loss_mask: 0.5036, decode.d8.loss_dice: 0.7485, loss: 16.7705, grad_norm: 68.7541 2023-11-22 11:48:33,375 - mmseg - INFO - Iter [89300/160000] lr: 4.209e-06, eta: 11:31:14, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2498, decode.loss_mask: 0.4957, decode.loss_dice: 0.7330, decode.d0.loss_cls: 1.3482, decode.d0.loss_mask: 0.5292, decode.d0.loss_dice: 0.8257, decode.d1.loss_cls: 0.3256, decode.d1.loss_mask: 0.5109, decode.d1.loss_dice: 0.7790, decode.d2.loss_cls: 0.2791, decode.d2.loss_mask: 0.5047, decode.d2.loss_dice: 0.7566, decode.d3.loss_cls: 0.2657, decode.d3.loss_mask: 0.4979, decode.d3.loss_dice: 0.7389, decode.d4.loss_cls: 0.2576, decode.d4.loss_mask: 0.4972, decode.d4.loss_dice: 0.7409, decode.d5.loss_cls: 0.2554, decode.d5.loss_mask: 0.4967, decode.d5.loss_dice: 0.7386, decode.d6.loss_cls: 0.2520, decode.d6.loss_mask: 0.4949, decode.d6.loss_dice: 0.7341, decode.d7.loss_cls: 0.2504, decode.d7.loss_mask: 0.4950, decode.d7.loss_dice: 0.7331, decode.d8.loss_cls: 0.2471, decode.d8.loss_mask: 0.4951, decode.d8.loss_dice: 0.7398, loss: 16.2676, grad_norm: 65.1426 2023-11-22 11:49:01,648 - mmseg - INFO - Iter [89350/160000] lr: 4.206e-06, eta: 11:30:44, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2617, decode.loss_mask: 0.4928, decode.loss_dice: 0.7500, decode.d0.loss_cls: 1.3693, decode.d0.loss_mask: 0.5362, decode.d0.loss_dice: 0.8464, decode.d1.loss_cls: 0.3540, decode.d1.loss_mask: 0.5154, decode.d1.loss_dice: 0.7967, decode.d2.loss_cls: 0.2992, decode.d2.loss_mask: 0.5039, decode.d2.loss_dice: 0.7678, decode.d3.loss_cls: 0.2811, decode.d3.loss_mask: 0.4981, decode.d3.loss_dice: 0.7542, decode.d4.loss_cls: 0.2688, decode.d4.loss_mask: 0.4953, decode.d4.loss_dice: 0.7570, decode.d5.loss_cls: 0.2580, decode.d5.loss_mask: 0.4958, decode.d5.loss_dice: 0.7569, decode.d6.loss_cls: 0.2635, decode.d6.loss_mask: 0.4934, decode.d6.loss_dice: 0.7537, decode.d7.loss_cls: 0.2602, decode.d7.loss_mask: 0.4939, decode.d7.loss_dice: 0.7521, decode.d8.loss_cls: 0.2604, decode.d8.loss_mask: 0.4915, decode.d8.loss_dice: 0.7531, loss: 16.5802, grad_norm: 69.2564 2023-11-22 11:49:30,109 - mmseg - INFO - Iter [89400/160000] lr: 4.203e-06, eta: 11:30:14, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2391, decode.loss_mask: 0.4916, decode.loss_dice: 0.7423, decode.d0.loss_cls: 1.3642, decode.d0.loss_mask: 0.5317, decode.d0.loss_dice: 0.8307, decode.d1.loss_cls: 0.3281, decode.d1.loss_mask: 0.5148, decode.d1.loss_dice: 0.7881, decode.d2.loss_cls: 0.2807, decode.d2.loss_mask: 0.4996, decode.d2.loss_dice: 0.7640, decode.d3.loss_cls: 0.2641, decode.d3.loss_mask: 0.4930, decode.d3.loss_dice: 0.7515, decode.d4.loss_cls: 0.2534, decode.d4.loss_mask: 0.4938, decode.d4.loss_dice: 0.7498, decode.d5.loss_cls: 0.2455, decode.d5.loss_mask: 0.4903, decode.d5.loss_dice: 0.7535, decode.d6.loss_cls: 0.2476, decode.d6.loss_mask: 0.4907, decode.d6.loss_dice: 0.7444, decode.d7.loss_cls: 0.2379, decode.d7.loss_mask: 0.4929, decode.d7.loss_dice: 0.7408, decode.d8.loss_cls: 0.2361, decode.d8.loss_mask: 0.4921, decode.d8.loss_dice: 0.7448, loss: 16.2967, grad_norm: 68.8147 2023-11-22 11:49:58,454 - mmseg - INFO - Iter [89450/160000] lr: 4.200e-06, eta: 11:29:44, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2580, decode.loss_mask: 0.4800, decode.loss_dice: 0.7366, decode.d0.loss_cls: 1.3935, decode.d0.loss_mask: 0.5157, decode.d0.loss_dice: 0.8332, decode.d1.loss_cls: 0.3535, decode.d1.loss_mask: 0.4982, decode.d1.loss_dice: 0.7793, decode.d2.loss_cls: 0.2998, decode.d2.loss_mask: 0.4851, decode.d2.loss_dice: 0.7553, decode.d3.loss_cls: 0.2823, decode.d3.loss_mask: 0.4812, decode.d3.loss_dice: 0.7423, decode.d4.loss_cls: 0.2714, decode.d4.loss_mask: 0.4817, decode.d4.loss_dice: 0.7430, decode.d5.loss_cls: 0.2653, decode.d5.loss_mask: 0.4819, decode.d5.loss_dice: 0.7436, decode.d6.loss_cls: 0.2601, decode.d6.loss_mask: 0.4794, decode.d6.loss_dice: 0.7394, decode.d7.loss_cls: 0.2552, decode.d7.loss_mask: 0.4819, decode.d7.loss_dice: 0.7413, decode.d8.loss_cls: 0.2565, decode.d8.loss_mask: 0.4810, decode.d8.loss_dice: 0.7402, loss: 16.3158, grad_norm: 73.2809 2023-11-22 11:50:26,843 - mmseg - INFO - Iter [89500/160000] lr: 4.197e-06, eta: 11:29:14, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2390, decode.loss_mask: 0.5174, decode.loss_dice: 0.7291, decode.d0.loss_cls: 1.3066, decode.d0.loss_mask: 0.5588, decode.d0.loss_dice: 0.8189, decode.d1.loss_cls: 0.3084, decode.d1.loss_mask: 0.5401, decode.d1.loss_dice: 0.7830, decode.d2.loss_cls: 0.2633, decode.d2.loss_mask: 0.5313, decode.d2.loss_dice: 0.7546, decode.d3.loss_cls: 0.2552, decode.d3.loss_mask: 0.5210, decode.d3.loss_dice: 0.7336, decode.d4.loss_cls: 0.2476, decode.d4.loss_mask: 0.5214, decode.d4.loss_dice: 0.7332, decode.d5.loss_cls: 0.2422, decode.d5.loss_mask: 0.5208, decode.d5.loss_dice: 0.7355, decode.d6.loss_cls: 0.2429, decode.d6.loss_mask: 0.5159, decode.d6.loss_dice: 0.7321, decode.d7.loss_cls: 0.2385, decode.d7.loss_mask: 0.5159, decode.d7.loss_dice: 0.7312, decode.d8.loss_cls: 0.2385, decode.d8.loss_mask: 0.5173, decode.d8.loss_dice: 0.7352, loss: 16.3284, grad_norm: 74.8387 2023-11-22 11:50:55,564 - mmseg - INFO - Iter [89550/160000] lr: 4.194e-06, eta: 11:28:44, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2471, decode.loss_mask: 0.4842, decode.loss_dice: 0.7527, decode.d0.loss_cls: 1.3500, decode.d0.loss_mask: 0.5219, decode.d0.loss_dice: 0.8512, decode.d1.loss_cls: 0.3378, decode.d1.loss_mask: 0.5029, decode.d1.loss_dice: 0.7982, decode.d2.loss_cls: 0.2820, decode.d2.loss_mask: 0.4919, decode.d2.loss_dice: 0.7765, decode.d3.loss_cls: 0.2652, decode.d3.loss_mask: 0.4886, decode.d3.loss_dice: 0.7601, decode.d4.loss_cls: 0.2613, decode.d4.loss_mask: 0.4874, decode.d4.loss_dice: 0.7603, decode.d5.loss_cls: 0.2475, decode.d5.loss_mask: 0.4867, decode.d5.loss_dice: 0.7648, decode.d6.loss_cls: 0.2475, decode.d6.loss_mask: 0.4861, decode.d6.loss_dice: 0.7611, decode.d7.loss_cls: 0.2496, decode.d7.loss_mask: 0.4872, decode.d7.loss_dice: 0.7580, decode.d8.loss_cls: 0.2466, decode.d8.loss_mask: 0.4842, decode.d8.loss_dice: 0.7577, loss: 16.3964, grad_norm: 66.2620 2023-11-22 11:51:23,725 - mmseg - INFO - Iter [89600/160000] lr: 4.191e-06, eta: 11:28:13, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2407, decode.loss_mask: 0.5087, decode.loss_dice: 0.7410, decode.d0.loss_cls: 1.3014, decode.d0.loss_mask: 0.5453, decode.d0.loss_dice: 0.8234, decode.d1.loss_cls: 0.3183, decode.d1.loss_mask: 0.5281, decode.d1.loss_dice: 0.7836, decode.d2.loss_cls: 0.2669, decode.d2.loss_mask: 0.5214, decode.d2.loss_dice: 0.7675, decode.d3.loss_cls: 0.2534, decode.d3.loss_mask: 0.5144, decode.d3.loss_dice: 0.7503, decode.d4.loss_cls: 0.2466, decode.d4.loss_mask: 0.5116, decode.d4.loss_dice: 0.7520, decode.d5.loss_cls: 0.2464, decode.d5.loss_mask: 0.5107, decode.d5.loss_dice: 0.7449, decode.d6.loss_cls: 0.2431, decode.d6.loss_mask: 0.5112, decode.d6.loss_dice: 0.7408, decode.d7.loss_cls: 0.2362, decode.d7.loss_mask: 0.5111, decode.d7.loss_dice: 0.7411, decode.d8.loss_cls: 0.2390, decode.d8.loss_mask: 0.5096, decode.d8.loss_dice: 0.7417, loss: 16.3504, grad_norm: 71.1107 2023-11-22 11:51:52,108 - mmseg - INFO - Iter [89650/160000] lr: 4.188e-06, eta: 11:27:43, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2592, decode.loss_mask: 0.4754, decode.loss_dice: 0.7152, decode.d0.loss_cls: 1.4137, decode.d0.loss_mask: 0.5117, decode.d0.loss_dice: 0.8083, decode.d1.loss_cls: 0.3506, decode.d1.loss_mask: 0.4928, decode.d1.loss_dice: 0.7564, decode.d2.loss_cls: 0.2987, decode.d2.loss_mask: 0.4839, decode.d2.loss_dice: 0.7371, decode.d3.loss_cls: 0.2763, decode.d3.loss_mask: 0.4816, decode.d3.loss_dice: 0.7270, decode.d4.loss_cls: 0.2679, decode.d4.loss_mask: 0.4831, decode.d4.loss_dice: 0.7244, decode.d5.loss_cls: 0.2683, decode.d5.loss_mask: 0.4820, decode.d5.loss_dice: 0.7212, decode.d6.loss_cls: 0.2624, decode.d6.loss_mask: 0.4794, decode.d6.loss_dice: 0.7222, decode.d7.loss_cls: 0.2587, decode.d7.loss_mask: 0.4779, decode.d7.loss_dice: 0.7201, decode.d8.loss_cls: 0.2593, decode.d8.loss_mask: 0.4759, decode.d8.loss_dice: 0.7173, loss: 16.1082, grad_norm: 68.5009 2023-11-22 11:52:22,993 - mmseg - INFO - Iter [89700/160000] lr: 4.185e-06, eta: 11:27:15, time: 0.618, data_time: 0.060, memory: 38143, decode.loss_cls: 0.2530, decode.loss_mask: 0.4654, decode.loss_dice: 0.7237, decode.d0.loss_cls: 1.3774, decode.d0.loss_mask: 0.4991, decode.d0.loss_dice: 0.8211, decode.d1.loss_cls: 0.3331, decode.d1.loss_mask: 0.4837, decode.d1.loss_dice: 0.7712, decode.d2.loss_cls: 0.2897, decode.d2.loss_mask: 0.4762, decode.d2.loss_dice: 0.7512, decode.d3.loss_cls: 0.2677, decode.d3.loss_mask: 0.4708, decode.d3.loss_dice: 0.7318, decode.d4.loss_cls: 0.2653, decode.d4.loss_mask: 0.4700, decode.d4.loss_dice: 0.7319, decode.d5.loss_cls: 0.2613, decode.d5.loss_mask: 0.4699, decode.d5.loss_dice: 0.7366, decode.d6.loss_cls: 0.2607, decode.d6.loss_mask: 0.4666, decode.d6.loss_dice: 0.7175, decode.d7.loss_cls: 0.2602, decode.d7.loss_mask: 0.4666, decode.d7.loss_dice: 0.7224, decode.d8.loss_cls: 0.2536, decode.d8.loss_mask: 0.4664, decode.d8.loss_dice: 0.7245, loss: 15.9885, grad_norm: 65.0032 2023-11-22 11:52:51,349 - mmseg - INFO - Iter [89750/160000] lr: 4.182e-06, eta: 11:26:45, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2415, decode.loss_mask: 0.4854, decode.loss_dice: 0.7267, decode.d0.loss_cls: 1.3743, decode.d0.loss_mask: 0.5212, decode.d0.loss_dice: 0.8142, decode.d1.loss_cls: 0.3206, decode.d1.loss_mask: 0.5085, decode.d1.loss_dice: 0.7669, decode.d2.loss_cls: 0.2793, decode.d2.loss_mask: 0.4929, decode.d2.loss_dice: 0.7478, decode.d3.loss_cls: 0.2560, decode.d3.loss_mask: 0.4911, decode.d3.loss_dice: 0.7331, decode.d4.loss_cls: 0.2545, decode.d4.loss_mask: 0.4878, decode.d4.loss_dice: 0.7305, decode.d5.loss_cls: 0.2461, decode.d5.loss_mask: 0.4897, decode.d5.loss_dice: 0.7339, decode.d6.loss_cls: 0.2441, decode.d6.loss_mask: 0.4887, decode.d6.loss_dice: 0.7269, decode.d7.loss_cls: 0.2403, decode.d7.loss_mask: 0.4871, decode.d7.loss_dice: 0.7286, decode.d8.loss_cls: 0.2415, decode.d8.loss_mask: 0.4857, decode.d8.loss_dice: 0.7303, loss: 16.0750, grad_norm: 65.7234 2023-11-22 11:53:19,820 - mmseg - INFO - Iter [89800/160000] lr: 4.179e-06, eta: 11:26:15, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2538, decode.loss_mask: 0.4774, decode.loss_dice: 0.7246, decode.d0.loss_cls: 1.3882, decode.d0.loss_mask: 0.5133, decode.d0.loss_dice: 0.8103, decode.d1.loss_cls: 0.3452, decode.d1.loss_mask: 0.4959, decode.d1.loss_dice: 0.7676, decode.d2.loss_cls: 0.2899, decode.d2.loss_mask: 0.4871, decode.d2.loss_dice: 0.7516, decode.d3.loss_cls: 0.2691, decode.d3.loss_mask: 0.4820, decode.d3.loss_dice: 0.7375, decode.d4.loss_cls: 0.2639, decode.d4.loss_mask: 0.4802, decode.d4.loss_dice: 0.7329, decode.d5.loss_cls: 0.2618, decode.d5.loss_mask: 0.4824, decode.d5.loss_dice: 0.7317, decode.d6.loss_cls: 0.2605, decode.d6.loss_mask: 0.4795, decode.d6.loss_dice: 0.7243, decode.d7.loss_cls: 0.2572, decode.d7.loss_mask: 0.4797, decode.d7.loss_dice: 0.7273, decode.d8.loss_cls: 0.2534, decode.d8.loss_mask: 0.4797, decode.d8.loss_dice: 0.7307, loss: 16.1384, grad_norm: 65.8272 2023-11-22 11:53:48,505 - mmseg - INFO - Iter [89850/160000] lr: 4.176e-06, eta: 11:25:45, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2543, decode.loss_mask: 0.4814, decode.loss_dice: 0.7247, decode.d0.loss_cls: 1.3660, decode.d0.loss_mask: 0.5105, decode.d0.loss_dice: 0.8096, decode.d1.loss_cls: 0.3456, decode.d1.loss_mask: 0.4964, decode.d1.loss_dice: 0.7606, decode.d2.loss_cls: 0.2951, decode.d2.loss_mask: 0.4875, decode.d2.loss_dice: 0.7437, decode.d3.loss_cls: 0.2701, decode.d3.loss_mask: 0.4851, decode.d3.loss_dice: 0.7281, decode.d4.loss_cls: 0.2681, decode.d4.loss_mask: 0.4858, decode.d4.loss_dice: 0.7261, decode.d5.loss_cls: 0.2602, decode.d5.loss_mask: 0.4824, decode.d5.loss_dice: 0.7313, decode.d6.loss_cls: 0.2584, decode.d6.loss_mask: 0.4806, decode.d6.loss_dice: 0.7212, decode.d7.loss_cls: 0.2547, decode.d7.loss_mask: 0.4797, decode.d7.loss_dice: 0.7261, decode.d8.loss_cls: 0.2516, decode.d8.loss_mask: 0.4826, decode.d8.loss_dice: 0.7257, loss: 16.0933, grad_norm: 68.6334 2023-11-22 11:54:16,971 - mmseg - INFO - Iter [89900/160000] lr: 4.173e-06, eta: 11:25:15, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2508, decode.loss_mask: 0.4969, decode.loss_dice: 0.7346, decode.d0.loss_cls: 1.3679, decode.d0.loss_mask: 0.5341, decode.d0.loss_dice: 0.8256, decode.d1.loss_cls: 0.3370, decode.d1.loss_mask: 0.5169, decode.d1.loss_dice: 0.7771, decode.d2.loss_cls: 0.2867, decode.d2.loss_mask: 0.5031, decode.d2.loss_dice: 0.7564, decode.d3.loss_cls: 0.2741, decode.d3.loss_mask: 0.5005, decode.d3.loss_dice: 0.7432, decode.d4.loss_cls: 0.2662, decode.d4.loss_mask: 0.4993, decode.d4.loss_dice: 0.7433, decode.d5.loss_cls: 0.2590, decode.d5.loss_mask: 0.4982, decode.d5.loss_dice: 0.7389, decode.d6.loss_cls: 0.2613, decode.d6.loss_mask: 0.4965, decode.d6.loss_dice: 0.7339, decode.d7.loss_cls: 0.2612, decode.d7.loss_mask: 0.4957, decode.d7.loss_dice: 0.7330, decode.d8.loss_cls: 0.2515, decode.d8.loss_mask: 0.4981, decode.d8.loss_dice: 0.7354, loss: 16.3764, grad_norm: 68.4078 2023-11-22 11:54:45,405 - mmseg - INFO - Iter [89950/160000] lr: 4.170e-06, eta: 11:24:45, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2538, decode.loss_mask: 0.5017, decode.loss_dice: 0.7581, decode.d0.loss_cls: 1.3667, decode.d0.loss_mask: 0.5343, decode.d0.loss_dice: 0.8387, decode.d1.loss_cls: 0.3466, decode.d1.loss_mask: 0.5174, decode.d1.loss_dice: 0.8033, decode.d2.loss_cls: 0.2876, decode.d2.loss_mask: 0.5093, decode.d2.loss_dice: 0.7818, decode.d3.loss_cls: 0.2726, decode.d3.loss_mask: 0.5025, decode.d3.loss_dice: 0.7631, decode.d4.loss_cls: 0.2678, decode.d4.loss_mask: 0.5023, decode.d4.loss_dice: 0.7668, decode.d5.loss_cls: 0.2621, decode.d5.loss_mask: 0.5012, decode.d5.loss_dice: 0.7632, decode.d6.loss_cls: 0.2625, decode.d6.loss_mask: 0.5007, decode.d6.loss_dice: 0.7567, decode.d7.loss_cls: 0.2564, decode.d7.loss_mask: 0.5003, decode.d7.loss_dice: 0.7534, decode.d8.loss_cls: 0.2602, decode.d8.loss_mask: 0.5006, decode.d8.loss_dice: 0.7509, loss: 16.6425, grad_norm: 71.8480 2023-11-22 11:55:13,677 - mmseg - INFO - Saving checkpoint at 90000 iterations 2023-11-22 11:55:21,584 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 11:55:21,585 - mmseg - INFO - Iter [90000/160000] lr: 4.167e-06, eta: 11:24:21, time: 0.724, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2242, decode.loss_mask: 0.4887, decode.loss_dice: 0.7297, decode.d0.loss_cls: 1.3355, decode.d0.loss_mask: 0.5239, decode.d0.loss_dice: 0.8100, decode.d1.loss_cls: 0.3104, decode.d1.loss_mask: 0.5089, decode.d1.loss_dice: 0.7729, decode.d2.loss_cls: 0.2603, decode.d2.loss_mask: 0.4990, decode.d2.loss_dice: 0.7492, decode.d3.loss_cls: 0.2453, decode.d3.loss_mask: 0.4914, decode.d3.loss_dice: 0.7293, decode.d4.loss_cls: 0.2381, decode.d4.loss_mask: 0.4931, decode.d4.loss_dice: 0.7334, decode.d5.loss_cls: 0.2358, decode.d5.loss_mask: 0.4937, decode.d5.loss_dice: 0.7303, decode.d6.loss_cls: 0.2330, decode.d6.loss_mask: 0.4906, decode.d6.loss_dice: 0.7270, decode.d7.loss_cls: 0.2231, decode.d7.loss_mask: 0.4918, decode.d7.loss_dice: 0.7307, decode.d8.loss_cls: 0.2230, decode.d8.loss_mask: 0.4896, decode.d8.loss_dice: 0.7282, loss: 15.9402, grad_norm: 73.6205 2023-11-22 11:55:41,187 - mmseg - INFO - per class results: 2023-11-22 11:55:41,196 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.77 | 87.92 | | building | 83.94 | 90.99 | | sky | 94.96 | 97.56 | | floor | 84.02 | 90.9 | | tree | 76.64 | 87.64 | | ceiling | 85.87 | 93.3 | | road | 86.93 | 93.29 | | bed | 91.03 | 95.79 | | windowpane | 63.77 | 82.78 | | grass | 67.87 | 77.51 | | cabinet | 64.34 | 74.02 | | sidewalk | 67.32 | 77.06 | | person | 86.46 | 93.98 | | earth | 38.72 | 57.64 | | door | 55.67 | 68.66 | | table | 70.94 | 82.39 | | mountain | 55.4 | 72.13 | | plant | 52.64 | 74.77 | | curtain | 78.35 | 88.75 | | chair | 65.92 | 76.37 | | car | 87.9 | 93.43 | | water | 60.2 | 76.33 | | painting | 75.84 | 90.28 | | sofa | 74.83 | 88.21 | | shelf | 45.71 | 65.22 | | house | 44.76 | 73.4 | | sea | 68.06 | 90.11 | | mirror | 75.84 | 83.87 | | rug | 66.61 | 79.72 | | field | 33.64 | 44.63 | | armchair | 54.06 | 74.87 | | seat | 65.16 | 85.33 | | fence | 52.05 | 68.74 | | desk | 59.66 | 78.88 | | rock | 46.94 | 63.29 | | wardrobe | 50.12 | 73.51 | | lamp | 71.98 | 82.22 | | bathtub | 78.39 | 85.28 | | railing | 37.6 | 52.91 | | cushion | 65.22 | 76.4 | | base | 37.58 | 61.57 | | box | 30.9 | 44.04 | | column | 51.25 | 68.62 | | signboard | 41.72 | 55.99 | | chest of drawers | 44.97 | 70.79 | | counter | 44.05 | 53.98 | | sand | 51.18 | 69.85 | | sink | 73.62 | 89.19 | | skyscraper | 59.87 | 75.88 | | fireplace | 74.73 | 89.41 | | refrigerator | 82.62 | 91.59 | | grandstand | 49.46 | 78.39 | | path | 18.34 | 35.54 | | stairs | 40.36 | 49.78 | | runway | 74.84 | 96.72 | | case | 61.24 | 85.79 | | pool table | 95.13 | 97.71 | | pillow | 60.91 | 72.56 | | screen door | 62.63 | 77.95 | | stairway | 38.48 | 49.95 | | river | 14.02 | 19.68 | | bridge | 81.42 | 87.72 | | bookcase | 34.2 | 50.64 | | blind | 36.0 | 39.25 | | coffee table | 67.54 | 86.33 | | toilet | 91.33 | 93.86 | | flower | 48.97 | 70.93 | | book | 53.7 | 74.37 | | hill | 9.35 | 13.9 | | bench | 62.76 | 76.28 | | countertop | 56.9 | 78.6 | | stove | 83.78 | 88.25 | | palm | 54.82 | 82.03 | | kitchen island | 60.1 | 79.37 | | computer | 72.01 | 78.7 | | swivel chair | 52.49 | 82.32 | | boat | 58.37 | 91.08 | | bar | 60.77 | 67.52 | | arcade machine | 65.88 | 69.54 | | hovel | 28.47 | 49.44 | | bus | 93.67 | 97.17 | | towel | 76.47 | 89.69 | | light | 64.45 | 79.79 | | truck | 41.25 | 55.8 | | tower | 36.35 | 60.25 | | chandelier | 70.27 | 88.9 | | awning | 36.88 | 48.94 | | streetlight | 43.6 | 67.11 | | booth | 59.11 | 60.54 | | television receiver | 77.39 | 88.17 | | airplane | 73.63 | 79.89 | | dirt track | 11.69 | 16.14 | | apparel | 44.78 | 70.51 | | pole | 37.06 | 61.25 | | land | 6.29 | 7.6 | | bannister | 21.22 | 31.3 | | escalator | 30.84 | 35.44 | | ottoman | 49.38 | 74.36 | | bottle | 33.36 | 44.49 | | buffet | 50.52 | 71.53 | | poster | 31.79 | 42.9 | | stage | 17.96 | 48.72 | | van | 48.67 | 72.8 | | ship | 12.88 | 13.68 | | fountain | 21.44 | 21.87 | | conveyer belt | 44.4 | 90.69 | | canopy | 20.46 | 42.87 | | washer | 71.22 | 73.44 | | plaything | 42.21 | 58.48 | | swimming pool | 55.8 | 72.39 | | stool | 53.43 | 69.72 | | barrel | 19.13 | 98.56 | | basket | 43.8 | 58.96 | | waterfall | 69.36 | 90.07 | | tent | 88.56 | 98.11 | | bag | 29.45 | 46.03 | | minibike | 72.4 | 90.31 | | cradle | 89.6 | 97.61 | | oven | 28.47 | 79.08 | | ball | 32.49 | 34.7 | | food | 65.58 | 73.45 | | step | 26.2 | 40.75 | | tank | 61.33 | 66.21 | | trade name | 35.87 | 46.6 | | microwave | 43.32 | 46.13 | | pot | 54.1 | 67.82 | | animal | 63.2 | 64.47 | | bicycle | 60.2 | 82.55 | | lake | 0.0 | 0.0 | | dishwasher | 83.22 | 89.6 | | screen | 65.08 | 93.22 | | blanket | 42.83 | 56.17 | | sculpture | 77.11 | 89.46 | | hood | 76.19 | 81.37 | | sconce | 60.7 | 79.05 | | vase | 52.51 | 78.6 | | traffic light | 48.14 | 73.01 | | tray | 25.57 | 39.11 | | ashcan | 51.27 | 76.63 | | fan | 69.6 | 85.5 | | pier | 36.24 | 45.7 | | crt screen | 2.39 | 9.1 | | plate | 65.38 | 83.94 | | monitor | 3.07 | 3.64 | | bulletin board | 44.73 | 79.05 | | shower | 2.87 | 27.46 | | radiator | 68.88 | 81.22 | | glass | 24.77 | 27.61 | | clock | 53.41 | 63.12 | | flag | 68.23 | 87.79 | +---------------------+-------+-------+ 2023-11-22 11:55:41,196 - mmseg - INFO - Summary: 2023-11-22 11:55:41,196 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 84.9 | 54.24 | 69.02 | +------+-------+-------+ 2023-11-22 11:55:41,198 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 11:55:41,198 - mmseg - INFO - Iter(val) [250] aAcc: 0.8490, mIoU: 0.5424, mAcc: 0.6902, IoU.wall: 0.8077, IoU.building: 0.8394, IoU.sky: 0.9496, IoU.floor: 0.8402, IoU.tree: 0.7664, IoU.ceiling: 0.8587, IoU.road: 0.8693, IoU.bed : 0.9103, IoU.windowpane: 0.6377, IoU.grass: 0.6787, IoU.cabinet: 0.6434, IoU.sidewalk: 0.6732, IoU.person: 0.8646, IoU.earth: 0.3872, IoU.door: 0.5567, IoU.table: 0.7094, IoU.mountain: 0.5540, IoU.plant: 0.5264, IoU.curtain: 0.7835, IoU.chair: 0.6592, IoU.car: 0.8790, IoU.water: 0.6020, IoU.painting: 0.7584, IoU.sofa: 0.7483, IoU.shelf: 0.4571, IoU.house: 0.4476, IoU.sea: 0.6806, IoU.mirror: 0.7584, IoU.rug: 0.6661, IoU.field: 0.3364, IoU.armchair: 0.5406, IoU.seat: 0.6516, IoU.fence: 0.5205, IoU.desk: 0.5966, IoU.rock: 0.4694, IoU.wardrobe: 0.5012, IoU.lamp: 0.7198, IoU.bathtub: 0.7839, IoU.railing: 0.3760, IoU.cushion: 0.6522, IoU.base: 0.3758, IoU.box: 0.3090, IoU.column: 0.5125, IoU.signboard: 0.4172, IoU.chest of drawers: 0.4497, IoU.counter: 0.4405, IoU.sand: 0.5118, IoU.sink: 0.7362, IoU.skyscraper: 0.5987, IoU.fireplace: 0.7473, IoU.refrigerator: 0.8262, IoU.grandstand: 0.4946, IoU.path: 0.1834, IoU.stairs: 0.4036, IoU.runway: 0.7484, IoU.case: 0.6124, IoU.pool table: 0.9513, IoU.pillow: 0.6091, IoU.screen door: 0.6263, IoU.stairway: 0.3848, IoU.river: 0.1402, IoU.bridge: 0.8142, IoU.bookcase: 0.3420, IoU.blind: 0.3600, IoU.coffee table: 0.6754, IoU.toilet: 0.9133, IoU.flower: 0.4897, IoU.book: 0.5370, IoU.hill: 0.0935, IoU.bench: 0.6276, IoU.countertop: 0.5690, IoU.stove: 0.8378, IoU.palm: 0.5482, IoU.kitchen island: 0.6010, IoU.computer: 0.7201, IoU.swivel chair: 0.5249, IoU.boat: 0.5837, IoU.bar: 0.6077, IoU.arcade machine: 0.6588, IoU.hovel: 0.2847, IoU.bus: 0.9367, IoU.towel: 0.7647, IoU.light: 0.6445, IoU.truck: 0.4125, IoU.tower: 0.3635, IoU.chandelier: 0.7027, IoU.awning: 0.3688, IoU.streetlight: 0.4360, IoU.booth: 0.5911, IoU.television receiver: 0.7739, IoU.airplane: 0.7363, IoU.dirt track: 0.1169, IoU.apparel: 0.4478, IoU.pole: 0.3706, IoU.land: 0.0629, IoU.bannister: 0.2122, IoU.escalator: 0.3084, IoU.ottoman: 0.4938, IoU.bottle: 0.3336, IoU.buffet: 0.5052, IoU.poster: 0.3179, IoU.stage: 0.1796, IoU.van: 0.4867, IoU.ship: 0.1288, IoU.fountain: 0.2144, IoU.conveyer belt: 0.4440, IoU.canopy: 0.2046, IoU.washer: 0.7122, IoU.plaything: 0.4221, IoU.swimming pool: 0.5580, IoU.stool: 0.5343, IoU.barrel: 0.1913, IoU.basket: 0.4380, IoU.waterfall: 0.6936, IoU.tent: 0.8856, IoU.bag: 0.2945, IoU.minibike: 0.7240, IoU.cradle: 0.8960, IoU.oven: 0.2847, IoU.ball: 0.3249, IoU.food: 0.6558, IoU.step: 0.2620, IoU.tank: 0.6133, IoU.trade name: 0.3587, IoU.microwave: 0.4332, IoU.pot: 0.5410, IoU.animal: 0.6320, IoU.bicycle: 0.6020, IoU.lake: 0.0000, IoU.dishwasher: 0.8322, IoU.screen: 0.6508, IoU.blanket: 0.4283, IoU.sculpture: 0.7711, IoU.hood: 0.7619, IoU.sconce: 0.6070, IoU.vase: 0.5251, IoU.traffic light: 0.4814, IoU.tray: 0.2557, IoU.ashcan: 0.5127, IoU.fan: 0.6960, IoU.pier: 0.3624, IoU.crt screen: 0.0239, IoU.plate: 0.6538, IoU.monitor: 0.0307, IoU.bulletin board: 0.4473, IoU.shower: 0.0287, IoU.radiator: 0.6888, IoU.glass: 0.2477, IoU.clock: 0.5341, IoU.flag: 0.6823, Acc.wall: 0.8792, Acc.building: 0.9099, Acc.sky: 0.9756, Acc.floor: 0.9090, Acc.tree: 0.8764, Acc.ceiling: 0.9330, Acc.road: 0.9329, Acc.bed : 0.9579, Acc.windowpane: 0.8278, Acc.grass: 0.7751, Acc.cabinet: 0.7402, Acc.sidewalk: 0.7706, Acc.person: 0.9398, Acc.earth: 0.5764, Acc.door: 0.6866, Acc.table: 0.8239, Acc.mountain: 0.7213, Acc.plant: 0.7477, Acc.curtain: 0.8875, Acc.chair: 0.7637, Acc.car: 0.9343, Acc.water: 0.7633, Acc.painting: 0.9028, Acc.sofa: 0.8821, Acc.shelf: 0.6522, Acc.house: 0.7340, Acc.sea: 0.9011, Acc.mirror: 0.8387, Acc.rug: 0.7972, Acc.field: 0.4463, Acc.armchair: 0.7487, Acc.seat: 0.8533, Acc.fence: 0.6874, Acc.desk: 0.7888, Acc.rock: 0.6329, Acc.wardrobe: 0.7351, Acc.lamp: 0.8222, Acc.bathtub: 0.8528, Acc.railing: 0.5291, Acc.cushion: 0.7640, Acc.base: 0.6157, Acc.box: 0.4404, Acc.column: 0.6862, Acc.signboard: 0.5599, Acc.chest of drawers: 0.7079, Acc.counter: 0.5398, Acc.sand: 0.6985, Acc.sink: 0.8919, Acc.skyscraper: 0.7588, Acc.fireplace: 0.8941, Acc.refrigerator: 0.9159, Acc.grandstand: 0.7839, Acc.path: 0.3554, Acc.stairs: 0.4978, Acc.runway: 0.9672, Acc.case: 0.8579, Acc.pool table: 0.9771, Acc.pillow: 0.7256, Acc.screen door: 0.7795, Acc.stairway: 0.4995, Acc.river: 0.1968, Acc.bridge: 0.8772, Acc.bookcase: 0.5064, Acc.blind: 0.3925, Acc.coffee table: 0.8633, Acc.toilet: 0.9386, Acc.flower: 0.7093, Acc.book: 0.7437, Acc.hill: 0.1390, Acc.bench: 0.7628, Acc.countertop: 0.7860, Acc.stove: 0.8825, Acc.palm: 0.8203, Acc.kitchen island: 0.7937, Acc.computer: 0.7870, Acc.swivel chair: 0.8232, Acc.boat: 0.9108, Acc.bar: 0.6752, Acc.arcade machine: 0.6954, Acc.hovel: 0.4944, Acc.bus: 0.9717, Acc.towel: 0.8969, Acc.light: 0.7979, Acc.truck: 0.5580, Acc.tower: 0.6025, Acc.chandelier: 0.8890, Acc.awning: 0.4894, Acc.streetlight: 0.6711, Acc.booth: 0.6054, Acc.television receiver: 0.8817, Acc.airplane: 0.7989, Acc.dirt track: 0.1614, Acc.apparel: 0.7051, Acc.pole: 0.6125, Acc.land: 0.0760, Acc.bannister: 0.3130, Acc.escalator: 0.3544, Acc.ottoman: 0.7436, Acc.bottle: 0.4449, Acc.buffet: 0.7153, Acc.poster: 0.4290, Acc.stage: 0.4872, Acc.van: 0.7280, Acc.ship: 0.1368, Acc.fountain: 0.2187, Acc.conveyer belt: 0.9069, Acc.canopy: 0.4287, Acc.washer: 0.7344, Acc.plaything: 0.5848, Acc.swimming pool: 0.7239, Acc.stool: 0.6972, Acc.barrel: 0.9856, Acc.basket: 0.5896, Acc.waterfall: 0.9007, Acc.tent: 0.9811, Acc.bag: 0.4603, Acc.minibike: 0.9031, Acc.cradle: 0.9761, Acc.oven: 0.7908, Acc.ball: 0.3470, Acc.food: 0.7345, Acc.step: 0.4075, Acc.tank: 0.6621, Acc.trade name: 0.4660, Acc.microwave: 0.4613, Acc.pot: 0.6782, Acc.animal: 0.6447, Acc.bicycle: 0.8255, Acc.lake: 0.0000, Acc.dishwasher: 0.8960, Acc.screen: 0.9322, Acc.blanket: 0.5617, Acc.sculpture: 0.8946, Acc.hood: 0.8137, Acc.sconce: 0.7905, Acc.vase: 0.7860, Acc.traffic light: 0.7301, Acc.tray: 0.3911, Acc.ashcan: 0.7663, Acc.fan: 0.8550, Acc.pier: 0.4570, Acc.crt screen: 0.0910, Acc.plate: 0.8394, Acc.monitor: 0.0364, Acc.bulletin board: 0.7905, Acc.shower: 0.2746, Acc.radiator: 0.8122, Acc.glass: 0.2761, Acc.clock: 0.6312, Acc.flag: 0.8779 2023-11-22 11:56:09,516 - mmseg - INFO - Iter [90050/160000] lr: 4.164e-06, eta: 11:24:06, time: 0.959, data_time: 0.405, memory: 38143, decode.loss_cls: 0.2521, decode.loss_mask: 0.4918, decode.loss_dice: 0.7432, decode.d0.loss_cls: 1.3924, decode.d0.loss_mask: 0.5252, decode.d0.loss_dice: 0.8262, decode.d1.loss_cls: 0.3270, decode.d1.loss_mask: 0.5097, decode.d1.loss_dice: 0.7871, decode.d2.loss_cls: 0.2756, decode.d2.loss_mask: 0.4995, decode.d2.loss_dice: 0.7704, decode.d3.loss_cls: 0.2638, decode.d3.loss_mask: 0.4941, decode.d3.loss_dice: 0.7483, decode.d4.loss_cls: 0.2541, decode.d4.loss_mask: 0.4909, decode.d4.loss_dice: 0.7455, decode.d5.loss_cls: 0.2524, decode.d5.loss_mask: 0.4928, decode.d5.loss_dice: 0.7505, decode.d6.loss_cls: 0.2480, decode.d6.loss_mask: 0.4930, decode.d6.loss_dice: 0.7477, decode.d7.loss_cls: 0.2490, decode.d7.loss_mask: 0.4935, decode.d7.loss_dice: 0.7482, decode.d8.loss_cls: 0.2463, decode.d8.loss_mask: 0.4926, decode.d8.loss_dice: 0.7443, loss: 16.3555, grad_norm: 66.1295 2023-11-22 11:56:38,197 - mmseg - INFO - Iter [90100/160000] lr: 4.161e-06, eta: 11:23:37, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2383, decode.loss_mask: 0.4884, decode.loss_dice: 0.7253, decode.d0.loss_cls: 1.3607, decode.d0.loss_mask: 0.5154, decode.d0.loss_dice: 0.8057, decode.d1.loss_cls: 0.3183, decode.d1.loss_mask: 0.5043, decode.d1.loss_dice: 0.7606, decode.d2.loss_cls: 0.2763, decode.d2.loss_mask: 0.4956, decode.d2.loss_dice: 0.7473, decode.d3.loss_cls: 0.2541, decode.d3.loss_mask: 0.4912, decode.d3.loss_dice: 0.7305, decode.d4.loss_cls: 0.2499, decode.d4.loss_mask: 0.4907, decode.d4.loss_dice: 0.7341, decode.d5.loss_cls: 0.2460, decode.d5.loss_mask: 0.4915, decode.d5.loss_dice: 0.7278, decode.d6.loss_cls: 0.2450, decode.d6.loss_mask: 0.4892, decode.d6.loss_dice: 0.7251, decode.d7.loss_cls: 0.2437, decode.d7.loss_mask: 0.4876, decode.d7.loss_dice: 0.7257, decode.d8.loss_cls: 0.2421, decode.d8.loss_mask: 0.4886, decode.d8.loss_dice: 0.7262, loss: 16.0251, grad_norm: 73.3974 2023-11-22 11:57:06,408 - mmseg - INFO - Iter [90150/160000] lr: 4.158e-06, eta: 11:23:06, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2326, decode.loss_mask: 0.5110, decode.loss_dice: 0.7430, decode.d0.loss_cls: 1.3454, decode.d0.loss_mask: 0.5444, decode.d0.loss_dice: 0.8335, decode.d1.loss_cls: 0.3229, decode.d1.loss_mask: 0.5323, decode.d1.loss_dice: 0.7830, decode.d2.loss_cls: 0.2678, decode.d2.loss_mask: 0.5211, decode.d2.loss_dice: 0.7602, decode.d3.loss_cls: 0.2507, decode.d3.loss_mask: 0.5148, decode.d3.loss_dice: 0.7466, decode.d4.loss_cls: 0.2416, decode.d4.loss_mask: 0.5116, decode.d4.loss_dice: 0.7451, decode.d5.loss_cls: 0.2400, decode.d5.loss_mask: 0.5108, decode.d5.loss_dice: 0.7446, decode.d6.loss_cls: 0.2342, decode.d6.loss_mask: 0.5097, decode.d6.loss_dice: 0.7416, decode.d7.loss_cls: 0.2342, decode.d7.loss_mask: 0.5069, decode.d7.loss_dice: 0.7426, decode.d8.loss_cls: 0.2315, decode.d8.loss_mask: 0.5097, decode.d8.loss_dice: 0.7456, loss: 16.3590, grad_norm: 70.2202 2023-11-22 11:57:34,649 - mmseg - INFO - Iter [90200/160000] lr: 4.155e-06, eta: 11:22:36, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2442, decode.loss_mask: 0.4947, decode.loss_dice: 0.7451, decode.d0.loss_cls: 1.3595, decode.d0.loss_mask: 0.5286, decode.d0.loss_dice: 0.8312, decode.d1.loss_cls: 0.3333, decode.d1.loss_mask: 0.5096, decode.d1.loss_dice: 0.7822, decode.d2.loss_cls: 0.2750, decode.d2.loss_mask: 0.5006, decode.d2.loss_dice: 0.7700, decode.d3.loss_cls: 0.2601, decode.d3.loss_mask: 0.4958, decode.d3.loss_dice: 0.7526, decode.d4.loss_cls: 0.2541, decode.d4.loss_mask: 0.4957, decode.d4.loss_dice: 0.7546, decode.d5.loss_cls: 0.2527, decode.d5.loss_mask: 0.4949, decode.d5.loss_dice: 0.7520, decode.d6.loss_cls: 0.2502, decode.d6.loss_mask: 0.4949, decode.d6.loss_dice: 0.7492, decode.d7.loss_cls: 0.2429, decode.d7.loss_mask: 0.4968, decode.d7.loss_dice: 0.7504, decode.d8.loss_cls: 0.2435, decode.d8.loss_mask: 0.4942, decode.d8.loss_dice: 0.7496, loss: 16.3583, grad_norm: 70.4925 2023-11-22 11:58:03,117 - mmseg - INFO - Iter [90250/160000] lr: 4.152e-06, eta: 11:22:06, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2445, decode.loss_mask: 0.4938, decode.loss_dice: 0.7238, decode.d0.loss_cls: 1.3920, decode.d0.loss_mask: 0.5323, decode.d0.loss_dice: 0.8081, decode.d1.loss_cls: 0.3338, decode.d1.loss_mask: 0.5093, decode.d1.loss_dice: 0.7609, decode.d2.loss_cls: 0.2849, decode.d2.loss_mask: 0.5008, decode.d2.loss_dice: 0.7399, decode.d3.loss_cls: 0.2626, decode.d3.loss_mask: 0.5016, decode.d3.loss_dice: 0.7292, decode.d4.loss_cls: 0.2601, decode.d4.loss_mask: 0.4980, decode.d4.loss_dice: 0.7245, decode.d5.loss_cls: 0.2534, decode.d5.loss_mask: 0.4945, decode.d5.loss_dice: 0.7265, decode.d6.loss_cls: 0.2539, decode.d6.loss_mask: 0.4937, decode.d6.loss_dice: 0.7215, decode.d7.loss_cls: 0.2482, decode.d7.loss_mask: 0.4942, decode.d7.loss_dice: 0.7212, decode.d8.loss_cls: 0.2470, decode.d8.loss_mask: 0.4938, decode.d8.loss_dice: 0.7234, loss: 16.1715, grad_norm: 68.6363 2023-11-22 11:58:31,334 - mmseg - INFO - Iter [90300/160000] lr: 4.149e-06, eta: 11:21:36, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2283, decode.loss_mask: 0.5199, decode.loss_dice: 0.7407, decode.d0.loss_cls: 1.3042, decode.d0.loss_mask: 0.5567, decode.d0.loss_dice: 0.8268, decode.d1.loss_cls: 0.3109, decode.d1.loss_mask: 0.5394, decode.d1.loss_dice: 0.7834, decode.d2.loss_cls: 0.2688, decode.d2.loss_mask: 0.5249, decode.d2.loss_dice: 0.7595, decode.d3.loss_cls: 0.2443, decode.d3.loss_mask: 0.5260, decode.d3.loss_dice: 0.7447, decode.d4.loss_cls: 0.2397, decode.d4.loss_mask: 0.5240, decode.d4.loss_dice: 0.7470, decode.d5.loss_cls: 0.2353, decode.d5.loss_mask: 0.5239, decode.d5.loss_dice: 0.7456, decode.d6.loss_cls: 0.2340, decode.d6.loss_mask: 0.5206, decode.d6.loss_dice: 0.7426, decode.d7.loss_cls: 0.2315, decode.d7.loss_mask: 0.5196, decode.d7.loss_dice: 0.7404, decode.d8.loss_cls: 0.2265, decode.d8.loss_mask: 0.5210, decode.d8.loss_dice: 0.7387, loss: 16.3689, grad_norm: 74.8846 2023-11-22 11:58:59,741 - mmseg - INFO - Iter [90350/160000] lr: 4.146e-06, eta: 11:21:06, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2354, decode.loss_mask: 0.5014, decode.loss_dice: 0.7333, decode.d0.loss_cls: 1.3258, decode.d0.loss_mask: 0.5336, decode.d0.loss_dice: 0.8069, decode.d1.loss_cls: 0.3231, decode.d1.loss_mask: 0.5220, decode.d1.loss_dice: 0.7714, decode.d2.loss_cls: 0.2705, decode.d2.loss_mask: 0.5095, decode.d2.loss_dice: 0.7470, decode.d3.loss_cls: 0.2493, decode.d3.loss_mask: 0.5061, decode.d3.loss_dice: 0.7372, decode.d4.loss_cls: 0.2443, decode.d4.loss_mask: 0.5046, decode.d4.loss_dice: 0.7318, decode.d5.loss_cls: 0.2410, decode.d5.loss_mask: 0.5060, decode.d5.loss_dice: 0.7352, decode.d6.loss_cls: 0.2385, decode.d6.loss_mask: 0.5027, decode.d6.loss_dice: 0.7311, decode.d7.loss_cls: 0.2381, decode.d7.loss_mask: 0.5021, decode.d7.loss_dice: 0.7288, decode.d8.loss_cls: 0.2369, decode.d8.loss_mask: 0.5007, decode.d8.loss_dice: 0.7304, loss: 16.1449, grad_norm: 73.1877 2023-11-22 11:59:28,213 - mmseg - INFO - Iter [90400/160000] lr: 4.143e-06, eta: 11:20:36, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2549, decode.loss_mask: 0.4863, decode.loss_dice: 0.7373, decode.d0.loss_cls: 1.3955, decode.d0.loss_mask: 0.5223, decode.d0.loss_dice: 0.8307, decode.d1.loss_cls: 0.3506, decode.d1.loss_mask: 0.5048, decode.d1.loss_dice: 0.7821, decode.d2.loss_cls: 0.2940, decode.d2.loss_mask: 0.4977, decode.d2.loss_dice: 0.7606, decode.d3.loss_cls: 0.2800, decode.d3.loss_mask: 0.4905, decode.d3.loss_dice: 0.7458, decode.d4.loss_cls: 0.2669, decode.d4.loss_mask: 0.4897, decode.d4.loss_dice: 0.7431, decode.d5.loss_cls: 0.2642, decode.d5.loss_mask: 0.4892, decode.d5.loss_dice: 0.7425, decode.d6.loss_cls: 0.2601, decode.d6.loss_mask: 0.4876, decode.d6.loss_dice: 0.7408, decode.d7.loss_cls: 0.2557, decode.d7.loss_mask: 0.4882, decode.d7.loss_dice: 0.7409, decode.d8.loss_cls: 0.2538, decode.d8.loss_mask: 0.4885, decode.d8.loss_dice: 0.7408, loss: 16.3852, grad_norm: 67.1560 2023-11-22 11:59:56,692 - mmseg - INFO - Iter [90450/160000] lr: 4.140e-06, eta: 11:20:06, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2602, decode.loss_mask: 0.4979, decode.loss_dice: 0.7539, decode.d0.loss_cls: 1.3790, decode.d0.loss_mask: 0.5339, decode.d0.loss_dice: 0.8533, decode.d1.loss_cls: 0.3491, decode.d1.loss_mask: 0.5220, decode.d1.loss_dice: 0.8012, decode.d2.loss_cls: 0.3064, decode.d2.loss_mask: 0.5078, decode.d2.loss_dice: 0.7817, decode.d3.loss_cls: 0.2813, decode.d3.loss_mask: 0.5051, decode.d3.loss_dice: 0.7666, decode.d4.loss_cls: 0.2744, decode.d4.loss_mask: 0.5012, decode.d4.loss_dice: 0.7659, decode.d5.loss_cls: 0.2741, decode.d5.loss_mask: 0.5019, decode.d5.loss_dice: 0.7652, decode.d6.loss_cls: 0.2685, decode.d6.loss_mask: 0.5001, decode.d6.loss_dice: 0.7628, decode.d7.loss_cls: 0.2672, decode.d7.loss_mask: 0.4959, decode.d7.loss_dice: 0.7602, decode.d8.loss_cls: 0.2641, decode.d8.loss_mask: 0.4975, decode.d8.loss_dice: 0.7594, loss: 16.7576, grad_norm: 75.8036 2023-11-22 12:00:24,989 - mmseg - INFO - Iter [90500/160000] lr: 4.137e-06, eta: 11:19:36, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2503, decode.loss_mask: 0.4924, decode.loss_dice: 0.7290, decode.d0.loss_cls: 1.3768, decode.d0.loss_mask: 0.5298, decode.d0.loss_dice: 0.8224, decode.d1.loss_cls: 0.3363, decode.d1.loss_mask: 0.5124, decode.d1.loss_dice: 0.7779, decode.d2.loss_cls: 0.2911, decode.d2.loss_mask: 0.5014, decode.d2.loss_dice: 0.7586, decode.d3.loss_cls: 0.2693, decode.d3.loss_mask: 0.4968, decode.d3.loss_dice: 0.7447, decode.d4.loss_cls: 0.2675, decode.d4.loss_mask: 0.4957, decode.d4.loss_dice: 0.7435, decode.d5.loss_cls: 0.2600, decode.d5.loss_mask: 0.4943, decode.d5.loss_dice: 0.7388, decode.d6.loss_cls: 0.2517, decode.d6.loss_mask: 0.4940, decode.d6.loss_dice: 0.7309, decode.d7.loss_cls: 0.2475, decode.d7.loss_mask: 0.4927, decode.d7.loss_dice: 0.7314, decode.d8.loss_cls: 0.2517, decode.d8.loss_mask: 0.4913, decode.d8.loss_dice: 0.7277, loss: 16.3082, grad_norm: 69.9731 2023-11-22 12:00:53,500 - mmseg - INFO - Iter [90550/160000] lr: 4.134e-06, eta: 11:19:06, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2504, decode.loss_mask: 0.4968, decode.loss_dice: 0.7436, decode.d0.loss_cls: 1.3283, decode.d0.loss_mask: 0.5380, decode.d0.loss_dice: 0.8368, decode.d1.loss_cls: 0.3331, decode.d1.loss_mask: 0.5162, decode.d1.loss_dice: 0.7810, decode.d2.loss_cls: 0.2876, decode.d2.loss_mask: 0.5069, decode.d2.loss_dice: 0.7642, decode.d3.loss_cls: 0.2737, decode.d3.loss_mask: 0.5012, decode.d3.loss_dice: 0.7531, decode.d4.loss_cls: 0.2683, decode.d4.loss_mask: 0.4981, decode.d4.loss_dice: 0.7520, decode.d5.loss_cls: 0.2632, decode.d5.loss_mask: 0.4950, decode.d5.loss_dice: 0.7463, decode.d6.loss_cls: 0.2568, decode.d6.loss_mask: 0.4970, decode.d6.loss_dice: 0.7447, decode.d7.loss_cls: 0.2530, decode.d7.loss_mask: 0.4947, decode.d7.loss_dice: 0.7467, decode.d8.loss_cls: 0.2533, decode.d8.loss_mask: 0.4957, decode.d8.loss_dice: 0.7501, loss: 16.4256, grad_norm: 70.1428 2023-11-22 12:01:21,794 - mmseg - INFO - Iter [90600/160000] lr: 4.131e-06, eta: 11:18:36, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2510, decode.loss_mask: 0.4847, decode.loss_dice: 0.7444, decode.d0.loss_cls: 1.3456, decode.d0.loss_mask: 0.5150, decode.d0.loss_dice: 0.8376, decode.d1.loss_cls: 0.3339, decode.d1.loss_mask: 0.5026, decode.d1.loss_dice: 0.7902, decode.d2.loss_cls: 0.2828, decode.d2.loss_mask: 0.4941, decode.d2.loss_dice: 0.7766, decode.d3.loss_cls: 0.2737, decode.d3.loss_mask: 0.4892, decode.d3.loss_dice: 0.7538, decode.d4.loss_cls: 0.2582, decode.d4.loss_mask: 0.4854, decode.d4.loss_dice: 0.7527, decode.d5.loss_cls: 0.2540, decode.d5.loss_mask: 0.4868, decode.d5.loss_dice: 0.7531, decode.d6.loss_cls: 0.2571, decode.d6.loss_mask: 0.4844, decode.d6.loss_dice: 0.7486, decode.d7.loss_cls: 0.2547, decode.d7.loss_mask: 0.4841, decode.d7.loss_dice: 0.7489, decode.d8.loss_cls: 0.2507, decode.d8.loss_mask: 0.4835, decode.d8.loss_dice: 0.7483, loss: 16.3259, grad_norm: 65.7415 2023-11-22 12:01:50,313 - mmseg - INFO - Iter [90650/160000] lr: 4.128e-06, eta: 11:18:06, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2572, decode.loss_mask: 0.4992, decode.loss_dice: 0.7437, decode.d0.loss_cls: 1.3640, decode.d0.loss_mask: 0.5364, decode.d0.loss_dice: 0.8396, decode.d1.loss_cls: 0.3433, decode.d1.loss_mask: 0.5176, decode.d1.loss_dice: 0.7914, decode.d2.loss_cls: 0.3011, decode.d2.loss_mask: 0.5058, decode.d2.loss_dice: 0.7730, decode.d3.loss_cls: 0.2814, decode.d3.loss_mask: 0.5025, decode.d3.loss_dice: 0.7540, decode.d4.loss_cls: 0.2718, decode.d4.loss_mask: 0.5021, decode.d4.loss_dice: 0.7506, decode.d5.loss_cls: 0.2713, decode.d5.loss_mask: 0.4998, decode.d5.loss_dice: 0.7538, decode.d6.loss_cls: 0.2656, decode.d6.loss_mask: 0.4988, decode.d6.loss_dice: 0.7506, decode.d7.loss_cls: 0.2593, decode.d7.loss_mask: 0.5017, decode.d7.loss_dice: 0.7497, decode.d8.loss_cls: 0.2611, decode.d8.loss_mask: 0.5020, decode.d8.loss_dice: 0.7476, loss: 16.5962, grad_norm: 69.8228 2023-11-22 12:02:18,939 - mmseg - INFO - Iter [90700/160000] lr: 4.126e-06, eta: 11:17:36, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2374, decode.loss_mask: 0.5009, decode.loss_dice: 0.7318, decode.d0.loss_cls: 1.3150, decode.d0.loss_mask: 0.5332, decode.d0.loss_dice: 0.8216, decode.d1.loss_cls: 0.3171, decode.d1.loss_mask: 0.5167, decode.d1.loss_dice: 0.7746, decode.d2.loss_cls: 0.2743, decode.d2.loss_mask: 0.5096, decode.d2.loss_dice: 0.7537, decode.d3.loss_cls: 0.2552, decode.d3.loss_mask: 0.5058, decode.d3.loss_dice: 0.7339, decode.d4.loss_cls: 0.2478, decode.d4.loss_mask: 0.5049, decode.d4.loss_dice: 0.7363, decode.d5.loss_cls: 0.2424, decode.d5.loss_mask: 0.5015, decode.d5.loss_dice: 0.7345, decode.d6.loss_cls: 0.2374, decode.d6.loss_mask: 0.5005, decode.d6.loss_dice: 0.7315, decode.d7.loss_cls: 0.2317, decode.d7.loss_mask: 0.5017, decode.d7.loss_dice: 0.7358, decode.d8.loss_cls: 0.2327, decode.d8.loss_mask: 0.5027, decode.d8.loss_dice: 0.7343, loss: 16.1564, grad_norm: 69.3538 2023-11-22 12:02:47,281 - mmseg - INFO - Iter [90750/160000] lr: 4.123e-06, eta: 11:17:06, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2368, decode.loss_mask: 0.4829, decode.loss_dice: 0.7281, decode.d0.loss_cls: 1.3520, decode.d0.loss_mask: 0.5250, decode.d0.loss_dice: 0.8237, decode.d1.loss_cls: 0.3342, decode.d1.loss_mask: 0.5039, decode.d1.loss_dice: 0.7733, decode.d2.loss_cls: 0.2794, decode.d2.loss_mask: 0.4912, decode.d2.loss_dice: 0.7501, decode.d3.loss_cls: 0.2625, decode.d3.loss_mask: 0.4858, decode.d3.loss_dice: 0.7394, decode.d4.loss_cls: 0.2543, decode.d4.loss_mask: 0.4839, decode.d4.loss_dice: 0.7352, decode.d5.loss_cls: 0.2509, decode.d5.loss_mask: 0.4823, decode.d5.loss_dice: 0.7329, decode.d6.loss_cls: 0.2453, decode.d6.loss_mask: 0.4828, decode.d6.loss_dice: 0.7275, decode.d7.loss_cls: 0.2421, decode.d7.loss_mask: 0.4815, decode.d7.loss_dice: 0.7258, decode.d8.loss_cls: 0.2420, decode.d8.loss_mask: 0.4829, decode.d8.loss_dice: 0.7258, loss: 16.0636, grad_norm: 71.4027 2023-11-22 12:03:15,635 - mmseg - INFO - Iter [90800/160000] lr: 4.120e-06, eta: 11:16:36, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2405, decode.loss_mask: 0.4708, decode.loss_dice: 0.7289, decode.d0.loss_cls: 1.3703, decode.d0.loss_mask: 0.5050, decode.d0.loss_dice: 0.8171, decode.d1.loss_cls: 0.3228, decode.d1.loss_mask: 0.4908, decode.d1.loss_dice: 0.7686, decode.d2.loss_cls: 0.2748, decode.d2.loss_mask: 0.4810, decode.d2.loss_dice: 0.7554, decode.d3.loss_cls: 0.2565, decode.d3.loss_mask: 0.4770, decode.d3.loss_dice: 0.7335, decode.d4.loss_cls: 0.2531, decode.d4.loss_mask: 0.4743, decode.d4.loss_dice: 0.7322, decode.d5.loss_cls: 0.2403, decode.d5.loss_mask: 0.4730, decode.d5.loss_dice: 0.7358, decode.d6.loss_cls: 0.2424, decode.d6.loss_mask: 0.4717, decode.d6.loss_dice: 0.7261, decode.d7.loss_cls: 0.2390, decode.d7.loss_mask: 0.4712, decode.d7.loss_dice: 0.7288, decode.d8.loss_cls: 0.2419, decode.d8.loss_mask: 0.4726, decode.d8.loss_dice: 0.7320, loss: 15.9274, grad_norm: 68.9482 2023-11-22 12:03:44,051 - mmseg - INFO - Iter [90850/160000] lr: 4.117e-06, eta: 11:16:06, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2629, decode.loss_mask: 0.4837, decode.loss_dice: 0.7257, decode.d0.loss_cls: 1.3737, decode.d0.loss_mask: 0.5121, decode.d0.loss_dice: 0.8165, decode.d1.loss_cls: 0.3491, decode.d1.loss_mask: 0.4985, decode.d1.loss_dice: 0.7686, decode.d2.loss_cls: 0.2943, decode.d2.loss_mask: 0.4926, decode.d2.loss_dice: 0.7450, decode.d3.loss_cls: 0.2793, decode.d3.loss_mask: 0.4860, decode.d3.loss_dice: 0.7286, decode.d4.loss_cls: 0.2736, decode.d4.loss_mask: 0.4842, decode.d4.loss_dice: 0.7300, decode.d5.loss_cls: 0.2671, decode.d5.loss_mask: 0.4835, decode.d5.loss_dice: 0.7322, decode.d6.loss_cls: 0.2657, decode.d6.loss_mask: 0.4828, decode.d6.loss_dice: 0.7281, decode.d7.loss_cls: 0.2616, decode.d7.loss_mask: 0.4830, decode.d7.loss_dice: 0.7274, decode.d8.loss_cls: 0.2612, decode.d8.loss_mask: 0.4840, decode.d8.loss_dice: 0.7314, loss: 16.2123, grad_norm: 73.4044 2023-11-22 12:04:12,627 - mmseg - INFO - Iter [90900/160000] lr: 4.114e-06, eta: 11:15:36, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2405, decode.loss_mask: 0.4951, decode.loss_dice: 0.7327, decode.d0.loss_cls: 1.3222, decode.d0.loss_mask: 0.5296, decode.d0.loss_dice: 0.8264, decode.d1.loss_cls: 0.3237, decode.d1.loss_mask: 0.5146, decode.d1.loss_dice: 0.7788, decode.d2.loss_cls: 0.2782, decode.d2.loss_mask: 0.5006, decode.d2.loss_dice: 0.7522, decode.d3.loss_cls: 0.2607, decode.d3.loss_mask: 0.5005, decode.d3.loss_dice: 0.7381, decode.d4.loss_cls: 0.2516, decode.d4.loss_mask: 0.5027, decode.d4.loss_dice: 0.7340, decode.d5.loss_cls: 0.2459, decode.d5.loss_mask: 0.4968, decode.d5.loss_dice: 0.7392, decode.d6.loss_cls: 0.2449, decode.d6.loss_mask: 0.4979, decode.d6.loss_dice: 0.7310, decode.d7.loss_cls: 0.2437, decode.d7.loss_mask: 0.4965, decode.d7.loss_dice: 0.7350, decode.d8.loss_cls: 0.2448, decode.d8.loss_mask: 0.4946, decode.d8.loss_dice: 0.7336, loss: 16.1859, grad_norm: 74.7459 2023-11-22 12:04:43,295 - mmseg - INFO - Iter [90950/160000] lr: 4.111e-06, eta: 11:15:07, time: 0.613, data_time: 0.057, memory: 38143, decode.loss_cls: 0.2324, decode.loss_mask: 0.5023, decode.loss_dice: 0.7326, decode.d0.loss_cls: 1.3521, decode.d0.loss_mask: 0.5386, decode.d0.loss_dice: 0.8213, decode.d1.loss_cls: 0.3058, decode.d1.loss_mask: 0.5238, decode.d1.loss_dice: 0.7758, decode.d2.loss_cls: 0.2682, decode.d2.loss_mask: 0.5106, decode.d2.loss_dice: 0.7514, decode.d3.loss_cls: 0.2415, decode.d3.loss_mask: 0.5068, decode.d3.loss_dice: 0.7413, decode.d4.loss_cls: 0.2351, decode.d4.loss_mask: 0.5058, decode.d4.loss_dice: 0.7390, decode.d5.loss_cls: 0.2283, decode.d5.loss_mask: 0.5042, decode.d5.loss_dice: 0.7403, decode.d6.loss_cls: 0.2366, decode.d6.loss_mask: 0.5036, decode.d6.loss_dice: 0.7307, decode.d7.loss_cls: 0.2249, decode.d7.loss_mask: 0.5038, decode.d7.loss_dice: 0.7336, decode.d8.loss_cls: 0.2253, decode.d8.loss_mask: 0.5025, decode.d8.loss_dice: 0.7324, loss: 16.1505, grad_norm: 70.2456 2023-11-22 12:05:11,896 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 12:05:11,896 - mmseg - INFO - Iter [91000/160000] lr: 4.108e-06, eta: 11:14:38, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2382, decode.loss_mask: 0.4931, decode.loss_dice: 0.7295, decode.d0.loss_cls: 1.3185, decode.d0.loss_mask: 0.5279, decode.d0.loss_dice: 0.8206, decode.d1.loss_cls: 0.3112, decode.d1.loss_mask: 0.5069, decode.d1.loss_dice: 0.7747, decode.d2.loss_cls: 0.2667, decode.d2.loss_mask: 0.5007, decode.d2.loss_dice: 0.7523, decode.d3.loss_cls: 0.2527, decode.d3.loss_mask: 0.4963, decode.d3.loss_dice: 0.7423, decode.d4.loss_cls: 0.2468, decode.d4.loss_mask: 0.4942, decode.d4.loss_dice: 0.7406, decode.d5.loss_cls: 0.2430, decode.d5.loss_mask: 0.4930, decode.d5.loss_dice: 0.7294, decode.d6.loss_cls: 0.2341, decode.d6.loss_mask: 0.4933, decode.d6.loss_dice: 0.7351, decode.d7.loss_cls: 0.2373, decode.d7.loss_mask: 0.4926, decode.d7.loss_dice: 0.7300, decode.d8.loss_cls: 0.2328, decode.d8.loss_mask: 0.4934, decode.d8.loss_dice: 0.7353, loss: 16.0626, grad_norm: 73.0064 2023-11-22 12:05:40,121 - mmseg - INFO - Iter [91050/160000] lr: 4.105e-06, eta: 11:14:07, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2305, decode.loss_mask: 0.4821, decode.loss_dice: 0.7239, decode.d0.loss_cls: 1.3353, decode.d0.loss_mask: 0.5182, decode.d0.loss_dice: 0.7989, decode.d1.loss_cls: 0.3137, decode.d1.loss_mask: 0.4997, decode.d1.loss_dice: 0.7588, decode.d2.loss_cls: 0.2713, decode.d2.loss_mask: 0.4861, decode.d2.loss_dice: 0.7407, decode.d3.loss_cls: 0.2529, decode.d3.loss_mask: 0.4876, decode.d3.loss_dice: 0.7299, decode.d4.loss_cls: 0.2432, decode.d4.loss_mask: 0.4860, decode.d4.loss_dice: 0.7245, decode.d5.loss_cls: 0.2369, decode.d5.loss_mask: 0.4877, decode.d5.loss_dice: 0.7258, decode.d6.loss_cls: 0.2423, decode.d6.loss_mask: 0.4839, decode.d6.loss_dice: 0.7200, decode.d7.loss_cls: 0.2344, decode.d7.loss_mask: 0.4833, decode.d7.loss_dice: 0.7215, decode.d8.loss_cls: 0.2355, decode.d8.loss_mask: 0.4817, decode.d8.loss_dice: 0.7231, loss: 15.8594, grad_norm: 70.5995 2023-11-22 12:06:08,427 - mmseg - INFO - Iter [91100/160000] lr: 4.102e-06, eta: 11:13:37, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2512, decode.loss_mask: 0.4641, decode.loss_dice: 0.7345, decode.d0.loss_cls: 1.3592, decode.d0.loss_mask: 0.5009, decode.d0.loss_dice: 0.8199, decode.d1.loss_cls: 0.3351, decode.d1.loss_mask: 0.4849, decode.d1.loss_dice: 0.7861, decode.d2.loss_cls: 0.2812, decode.d2.loss_mask: 0.4737, decode.d2.loss_dice: 0.7567, decode.d3.loss_cls: 0.2620, decode.d3.loss_mask: 0.4689, decode.d3.loss_dice: 0.7448, decode.d4.loss_cls: 0.2582, decode.d4.loss_mask: 0.4692, decode.d4.loss_dice: 0.7440, decode.d5.loss_cls: 0.2539, decode.d5.loss_mask: 0.4705, decode.d5.loss_dice: 0.7438, decode.d6.loss_cls: 0.2506, decode.d6.loss_mask: 0.4670, decode.d6.loss_dice: 0.7393, decode.d7.loss_cls: 0.2518, decode.d7.loss_mask: 0.4661, decode.d7.loss_dice: 0.7374, decode.d8.loss_cls: 0.2547, decode.d8.loss_mask: 0.4662, decode.d8.loss_dice: 0.7401, loss: 16.0359, grad_norm: 67.1625 2023-11-22 12:06:36,750 - mmseg - INFO - Iter [91150/160000] lr: 4.099e-06, eta: 11:13:07, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2330, decode.loss_mask: 0.4883, decode.loss_dice: 0.7344, decode.d0.loss_cls: 1.3350, decode.d0.loss_mask: 0.5295, decode.d0.loss_dice: 0.8158, decode.d1.loss_cls: 0.3188, decode.d1.loss_mask: 0.5125, decode.d1.loss_dice: 0.7699, decode.d2.loss_cls: 0.2704, decode.d2.loss_mask: 0.5018, decode.d2.loss_dice: 0.7461, decode.d3.loss_cls: 0.2531, decode.d3.loss_mask: 0.4950, decode.d3.loss_dice: 0.7437, decode.d4.loss_cls: 0.2405, decode.d4.loss_mask: 0.4939, decode.d4.loss_dice: 0.7413, decode.d5.loss_cls: 0.2405, decode.d5.loss_mask: 0.4913, decode.d5.loss_dice: 0.7375, decode.d6.loss_cls: 0.2406, decode.d6.loss_mask: 0.4908, decode.d6.loss_dice: 0.7309, decode.d7.loss_cls: 0.2385, decode.d7.loss_mask: 0.4883, decode.d7.loss_dice: 0.7309, decode.d8.loss_cls: 0.2349, decode.d8.loss_mask: 0.4902, decode.d8.loss_dice: 0.7346, loss: 16.0721, grad_norm: 74.4668 2023-11-22 12:07:05,098 - mmseg - INFO - Iter [91200/160000] lr: 4.096e-06, eta: 11:12:37, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2304, decode.loss_mask: 0.4942, decode.loss_dice: 0.7327, decode.d0.loss_cls: 1.3706, decode.d0.loss_mask: 0.5263, decode.d0.loss_dice: 0.8104, decode.d1.loss_cls: 0.3111, decode.d1.loss_mask: 0.5102, decode.d1.loss_dice: 0.7740, decode.d2.loss_cls: 0.2561, decode.d2.loss_mask: 0.5027, decode.d2.loss_dice: 0.7576, decode.d3.loss_cls: 0.2417, decode.d3.loss_mask: 0.4958, decode.d3.loss_dice: 0.7442, decode.d4.loss_cls: 0.2338, decode.d4.loss_mask: 0.4933, decode.d4.loss_dice: 0.7404, decode.d5.loss_cls: 0.2386, decode.d5.loss_mask: 0.4926, decode.d5.loss_dice: 0.7354, decode.d6.loss_cls: 0.2291, decode.d6.loss_mask: 0.4951, decode.d6.loss_dice: 0.7326, decode.d7.loss_cls: 0.2277, decode.d7.loss_mask: 0.4948, decode.d7.loss_dice: 0.7340, decode.d8.loss_cls: 0.2264, decode.d8.loss_mask: 0.4937, decode.d8.loss_dice: 0.7353, loss: 16.0608, grad_norm: 68.6128 2023-11-22 12:07:33,560 - mmseg - INFO - Iter [91250/160000] lr: 4.093e-06, eta: 11:12:07, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2651, decode.loss_mask: 0.4798, decode.loss_dice: 0.7376, decode.d0.loss_cls: 1.3855, decode.d0.loss_mask: 0.5189, decode.d0.loss_dice: 0.8340, decode.d1.loss_cls: 0.3524, decode.d1.loss_mask: 0.4981, decode.d1.loss_dice: 0.7926, decode.d2.loss_cls: 0.3004, decode.d2.loss_mask: 0.4885, decode.d2.loss_dice: 0.7671, decode.d3.loss_cls: 0.2777, decode.d3.loss_mask: 0.4839, decode.d3.loss_dice: 0.7483, decode.d4.loss_cls: 0.2745, decode.d4.loss_mask: 0.4843, decode.d4.loss_dice: 0.7485, decode.d5.loss_cls: 0.2674, decode.d5.loss_mask: 0.4824, decode.d5.loss_dice: 0.7476, decode.d6.loss_cls: 0.2694, decode.d6.loss_mask: 0.4816, decode.d6.loss_dice: 0.7423, decode.d7.loss_cls: 0.2606, decode.d7.loss_mask: 0.4809, decode.d7.loss_dice: 0.7434, decode.d8.loss_cls: 0.2662, decode.d8.loss_mask: 0.4797, decode.d8.loss_dice: 0.7406, loss: 16.3993, grad_norm: 69.3200 2023-11-22 12:08:01,926 - mmseg - INFO - Iter [91300/160000] lr: 4.090e-06, eta: 11:11:37, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2495, decode.loss_mask: 0.4802, decode.loss_dice: 0.7078, decode.d0.loss_cls: 1.3450, decode.d0.loss_mask: 0.5223, decode.d0.loss_dice: 0.8028, decode.d1.loss_cls: 0.3289, decode.d1.loss_mask: 0.5018, decode.d1.loss_dice: 0.7492, decode.d2.loss_cls: 0.2888, decode.d2.loss_mask: 0.4893, decode.d2.loss_dice: 0.7332, decode.d3.loss_cls: 0.2639, decode.d3.loss_mask: 0.4853, decode.d3.loss_dice: 0.7158, decode.d4.loss_cls: 0.2630, decode.d4.loss_mask: 0.4828, decode.d4.loss_dice: 0.7116, decode.d5.loss_cls: 0.2551, decode.d5.loss_mask: 0.4811, decode.d5.loss_dice: 0.7168, decode.d6.loss_cls: 0.2518, decode.d6.loss_mask: 0.4805, decode.d6.loss_dice: 0.7100, decode.d7.loss_cls: 0.2476, decode.d7.loss_mask: 0.4794, decode.d7.loss_dice: 0.7096, decode.d8.loss_cls: 0.2452, decode.d8.loss_mask: 0.4789, decode.d8.loss_dice: 0.7074, loss: 15.8846, grad_norm: 69.6621 2023-11-22 12:08:30,134 - mmseg - INFO - Iter [91350/160000] lr: 4.087e-06, eta: 11:11:07, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2408, decode.loss_mask: 0.5104, decode.loss_dice: 0.7442, decode.d0.loss_cls: 1.3608, decode.d0.loss_mask: 0.5464, decode.d0.loss_dice: 0.8260, decode.d1.loss_cls: 0.3374, decode.d1.loss_mask: 0.5292, decode.d1.loss_dice: 0.7815, decode.d2.loss_cls: 0.2849, decode.d2.loss_mask: 0.5172, decode.d2.loss_dice: 0.7560, decode.d3.loss_cls: 0.2594, decode.d3.loss_mask: 0.5154, decode.d3.loss_dice: 0.7519, decode.d4.loss_cls: 0.2591, decode.d4.loss_mask: 0.5134, decode.d4.loss_dice: 0.7490, decode.d5.loss_cls: 0.2507, decode.d5.loss_mask: 0.5112, decode.d5.loss_dice: 0.7468, decode.d6.loss_cls: 0.2478, decode.d6.loss_mask: 0.5104, decode.d6.loss_dice: 0.7404, decode.d7.loss_cls: 0.2486, decode.d7.loss_mask: 0.5105, decode.d7.loss_dice: 0.7427, decode.d8.loss_cls: 0.2441, decode.d8.loss_mask: 0.5087, decode.d8.loss_dice: 0.7421, loss: 16.4867, grad_norm: 74.5330 2023-11-22 12:08:58,282 - mmseg - INFO - Iter [91400/160000] lr: 4.084e-06, eta: 11:10:37, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2257, decode.loss_mask: 0.4892, decode.loss_dice: 0.7255, decode.d0.loss_cls: 1.2985, decode.d0.loss_mask: 0.5234, decode.d0.loss_dice: 0.8088, decode.d1.loss_cls: 0.3033, decode.d1.loss_mask: 0.5067, decode.d1.loss_dice: 0.7658, decode.d2.loss_cls: 0.2529, decode.d2.loss_mask: 0.4977, decode.d2.loss_dice: 0.7435, decode.d3.loss_cls: 0.2383, decode.d3.loss_mask: 0.4924, decode.d3.loss_dice: 0.7311, decode.d4.loss_cls: 0.2362, decode.d4.loss_mask: 0.4903, decode.d4.loss_dice: 0.7243, decode.d5.loss_cls: 0.2268, decode.d5.loss_mask: 0.4890, decode.d5.loss_dice: 0.7258, decode.d6.loss_cls: 0.2263, decode.d6.loss_mask: 0.4886, decode.d6.loss_dice: 0.7217, decode.d7.loss_cls: 0.2280, decode.d7.loss_mask: 0.4891, decode.d7.loss_dice: 0.7220, decode.d8.loss_cls: 0.2220, decode.d8.loss_mask: 0.4883, decode.d8.loss_dice: 0.7248, loss: 15.8057, grad_norm: 69.2205 2023-11-22 12:09:26,666 - mmseg - INFO - Iter [91450/160000] lr: 4.081e-06, eta: 11:10:07, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2535, decode.loss_mask: 0.4790, decode.loss_dice: 0.7150, decode.d0.loss_cls: 1.3579, decode.d0.loss_mask: 0.5148, decode.d0.loss_dice: 0.8048, decode.d1.loss_cls: 0.3358, decode.d1.loss_mask: 0.5042, decode.d1.loss_dice: 0.7538, decode.d2.loss_cls: 0.2855, decode.d2.loss_mask: 0.4901, decode.d2.loss_dice: 0.7366, decode.d3.loss_cls: 0.2723, decode.d3.loss_mask: 0.4847, decode.d3.loss_dice: 0.7181, decode.d4.loss_cls: 0.2640, decode.d4.loss_mask: 0.4830, decode.d4.loss_dice: 0.7210, decode.d5.loss_cls: 0.2578, decode.d5.loss_mask: 0.4814, decode.d5.loss_dice: 0.7263, decode.d6.loss_cls: 0.2572, decode.d6.loss_mask: 0.4805, decode.d6.loss_dice: 0.7197, decode.d7.loss_cls: 0.2566, decode.d7.loss_mask: 0.4786, decode.d7.loss_dice: 0.7158, decode.d8.loss_cls: 0.2555, decode.d8.loss_mask: 0.4786, decode.d8.loss_dice: 0.7159, loss: 15.9983, grad_norm: 73.1565 2023-11-22 12:09:55,127 - mmseg - INFO - Iter [91500/160000] lr: 4.078e-06, eta: 11:09:37, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2457, decode.loss_mask: 0.4838, decode.loss_dice: 0.7247, decode.d0.loss_cls: 1.3543, decode.d0.loss_mask: 0.5211, decode.d0.loss_dice: 0.8167, decode.d1.loss_cls: 0.3332, decode.d1.loss_mask: 0.5010, decode.d1.loss_dice: 0.7574, decode.d2.loss_cls: 0.2846, decode.d2.loss_mask: 0.4939, decode.d2.loss_dice: 0.7458, decode.d3.loss_cls: 0.2684, decode.d3.loss_mask: 0.4881, decode.d3.loss_dice: 0.7307, decode.d4.loss_cls: 0.2556, decode.d4.loss_mask: 0.4876, decode.d4.loss_dice: 0.7340, decode.d5.loss_cls: 0.2551, decode.d5.loss_mask: 0.4848, decode.d5.loss_dice: 0.7300, decode.d6.loss_cls: 0.2518, decode.d6.loss_mask: 0.4866, decode.d6.loss_dice: 0.7230, decode.d7.loss_cls: 0.2492, decode.d7.loss_mask: 0.4871, decode.d7.loss_dice: 0.7247, decode.d8.loss_cls: 0.2459, decode.d8.loss_mask: 0.4851, decode.d8.loss_dice: 0.7240, loss: 16.0741, grad_norm: 72.0956 2023-11-22 12:10:23,607 - mmseg - INFO - Iter [91550/160000] lr: 4.075e-06, eta: 11:09:07, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2271, decode.loss_mask: 0.5073, decode.loss_dice: 0.7089, decode.d0.loss_cls: 1.3377, decode.d0.loss_mask: 0.5505, decode.d0.loss_dice: 0.7967, decode.d1.loss_cls: 0.3057, decode.d1.loss_mask: 0.5299, decode.d1.loss_dice: 0.7553, decode.d2.loss_cls: 0.2606, decode.d2.loss_mask: 0.5164, decode.d2.loss_dice: 0.7321, decode.d3.loss_cls: 0.2426, decode.d3.loss_mask: 0.5133, decode.d3.loss_dice: 0.7156, decode.d4.loss_cls: 0.2374, decode.d4.loss_mask: 0.5101, decode.d4.loss_dice: 0.7155, decode.d5.loss_cls: 0.2370, decode.d5.loss_mask: 0.5075, decode.d5.loss_dice: 0.7136, decode.d6.loss_cls: 0.2304, decode.d6.loss_mask: 0.5076, decode.d6.loss_dice: 0.7090, decode.d7.loss_cls: 0.2286, decode.d7.loss_mask: 0.5068, decode.d7.loss_dice: 0.7109, decode.d8.loss_cls: 0.2220, decode.d8.loss_mask: 0.5089, decode.d8.loss_dice: 0.7113, loss: 15.9564, grad_norm: 76.8277 2023-11-22 12:10:51,939 - mmseg - INFO - Iter [91600/160000] lr: 4.072e-06, eta: 11:08:37, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2293, decode.loss_mask: 0.4886, decode.loss_dice: 0.7457, decode.d0.loss_cls: 1.3537, decode.d0.loss_mask: 0.5231, decode.d0.loss_dice: 0.8223, decode.d1.loss_cls: 0.3271, decode.d1.loss_mask: 0.5014, decode.d1.loss_dice: 0.7854, decode.d2.loss_cls: 0.2706, decode.d2.loss_mask: 0.4930, decode.d2.loss_dice: 0.7626, decode.d3.loss_cls: 0.2449, decode.d3.loss_mask: 0.4926, decode.d3.loss_dice: 0.7527, decode.d4.loss_cls: 0.2453, decode.d4.loss_mask: 0.4881, decode.d4.loss_dice: 0.7480, decode.d5.loss_cls: 0.2437, decode.d5.loss_mask: 0.4895, decode.d5.loss_dice: 0.7453, decode.d6.loss_cls: 0.2344, decode.d6.loss_mask: 0.4896, decode.d6.loss_dice: 0.7478, decode.d7.loss_cls: 0.2360, decode.d7.loss_mask: 0.4881, decode.d7.loss_dice: 0.7415, decode.d8.loss_cls: 0.2325, decode.d8.loss_mask: 0.4891, decode.d8.loss_dice: 0.7409, loss: 16.1527, grad_norm: 68.4326 2023-11-22 12:11:20,248 - mmseg - INFO - Iter [91650/160000] lr: 4.069e-06, eta: 11:08:07, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2359, decode.loss_mask: 0.4944, decode.loss_dice: 0.7353, decode.d0.loss_cls: 1.3288, decode.d0.loss_mask: 0.5298, decode.d0.loss_dice: 0.8241, decode.d1.loss_cls: 0.3284, decode.d1.loss_mask: 0.5085, decode.d1.loss_dice: 0.7748, decode.d2.loss_cls: 0.2763, decode.d2.loss_mask: 0.4984, decode.d2.loss_dice: 0.7569, decode.d3.loss_cls: 0.2526, decode.d3.loss_mask: 0.4962, decode.d3.loss_dice: 0.7408, decode.d4.loss_cls: 0.2478, decode.d4.loss_mask: 0.4959, decode.d4.loss_dice: 0.7441, decode.d5.loss_cls: 0.2410, decode.d5.loss_mask: 0.4966, decode.d5.loss_dice: 0.7385, decode.d6.loss_cls: 0.2377, decode.d6.loss_mask: 0.4929, decode.d6.loss_dice: 0.7391, decode.d7.loss_cls: 0.2388, decode.d7.loss_mask: 0.4940, decode.d7.loss_dice: 0.7375, decode.d8.loss_cls: 0.2380, decode.d8.loss_mask: 0.4954, decode.d8.loss_dice: 0.7385, loss: 16.1570, grad_norm: 80.7844 2023-11-22 12:11:48,646 - mmseg - INFO - Iter [91700/160000] lr: 4.066e-06, eta: 11:07:37, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2360, decode.loss_mask: 0.4776, decode.loss_dice: 0.7180, decode.d0.loss_cls: 1.3532, decode.d0.loss_mask: 0.5109, decode.d0.loss_dice: 0.8057, decode.d1.loss_cls: 0.3251, decode.d1.loss_mask: 0.4928, decode.d1.loss_dice: 0.7602, decode.d2.loss_cls: 0.2756, decode.d2.loss_mask: 0.4804, decode.d2.loss_dice: 0.7429, decode.d3.loss_cls: 0.2612, decode.d3.loss_mask: 0.4796, decode.d3.loss_dice: 0.7259, decode.d4.loss_cls: 0.2550, decode.d4.loss_mask: 0.4783, decode.d4.loss_dice: 0.7235, decode.d5.loss_cls: 0.2472, decode.d5.loss_mask: 0.4774, decode.d5.loss_dice: 0.7284, decode.d6.loss_cls: 0.2465, decode.d6.loss_mask: 0.4752, decode.d6.loss_dice: 0.7250, decode.d7.loss_cls: 0.2435, decode.d7.loss_mask: 0.4768, decode.d7.loss_dice: 0.7209, decode.d8.loss_cls: 0.2439, decode.d8.loss_mask: 0.4760, decode.d8.loss_dice: 0.7197, loss: 15.8825, grad_norm: 67.8121 2023-11-22 12:12:16,831 - mmseg - INFO - Iter [91750/160000] lr: 4.063e-06, eta: 11:07:06, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2550, decode.loss_mask: 0.5034, decode.loss_dice: 0.7242, decode.d0.loss_cls: 1.3417, decode.d0.loss_mask: 0.5438, decode.d0.loss_dice: 0.8186, decode.d1.loss_cls: 0.3483, decode.d1.loss_mask: 0.5250, decode.d1.loss_dice: 0.7696, decode.d2.loss_cls: 0.2889, decode.d2.loss_mask: 0.5140, decode.d2.loss_dice: 0.7488, decode.d3.loss_cls: 0.2703, decode.d3.loss_mask: 0.5079, decode.d3.loss_dice: 0.7372, decode.d4.loss_cls: 0.2650, decode.d4.loss_mask: 0.5070, decode.d4.loss_dice: 0.7377, decode.d5.loss_cls: 0.2676, decode.d5.loss_mask: 0.5072, decode.d5.loss_dice: 0.7305, decode.d6.loss_cls: 0.2594, decode.d6.loss_mask: 0.5076, decode.d6.loss_dice: 0.7257, decode.d7.loss_cls: 0.2533, decode.d7.loss_mask: 0.5071, decode.d7.loss_dice: 0.7324, decode.d8.loss_cls: 0.2553, decode.d8.loss_mask: 0.5041, decode.d8.loss_dice: 0.7292, loss: 16.3860, grad_norm: 72.1723 2023-11-22 12:12:45,305 - mmseg - INFO - Iter [91800/160000] lr: 4.060e-06, eta: 11:06:36, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2385, decode.loss_mask: 0.5002, decode.loss_dice: 0.7578, decode.d0.loss_cls: 1.3533, decode.d0.loss_mask: 0.5331, decode.d0.loss_dice: 0.8460, decode.d1.loss_cls: 0.3086, decode.d1.loss_mask: 0.5222, decode.d1.loss_dice: 0.8068, decode.d2.loss_cls: 0.2651, decode.d2.loss_mask: 0.5132, decode.d2.loss_dice: 0.7863, decode.d3.loss_cls: 0.2513, decode.d3.loss_mask: 0.5023, decode.d3.loss_dice: 0.7655, decode.d4.loss_cls: 0.2481, decode.d4.loss_mask: 0.5037, decode.d4.loss_dice: 0.7655, decode.d5.loss_cls: 0.2439, decode.d5.loss_mask: 0.5026, decode.d5.loss_dice: 0.7661, decode.d6.loss_cls: 0.2409, decode.d6.loss_mask: 0.4982, decode.d6.loss_dice: 0.7576, decode.d7.loss_cls: 0.2416, decode.d7.loss_mask: 0.4979, decode.d7.loss_dice: 0.7593, decode.d8.loss_cls: 0.2334, decode.d8.loss_mask: 0.4991, decode.d8.loss_dice: 0.7616, loss: 16.4695, grad_norm: 73.2083 2023-11-22 12:13:13,923 - mmseg - INFO - Iter [91850/160000] lr: 4.057e-06, eta: 11:06:06, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2405, decode.loss_mask: 0.4810, decode.loss_dice: 0.7266, decode.d0.loss_cls: 1.3621, decode.d0.loss_mask: 0.5140, decode.d0.loss_dice: 0.8017, decode.d1.loss_cls: 0.3247, decode.d1.loss_mask: 0.5006, decode.d1.loss_dice: 0.7650, decode.d2.loss_cls: 0.2757, decode.d2.loss_mask: 0.4936, decode.d2.loss_dice: 0.7469, decode.d3.loss_cls: 0.2553, decode.d3.loss_mask: 0.4857, decode.d3.loss_dice: 0.7358, decode.d4.loss_cls: 0.2461, decode.d4.loss_mask: 0.4864, decode.d4.loss_dice: 0.7318, decode.d5.loss_cls: 0.2464, decode.d5.loss_mask: 0.4846, decode.d5.loss_dice: 0.7300, decode.d6.loss_cls: 0.2441, decode.d6.loss_mask: 0.4800, decode.d6.loss_dice: 0.7232, decode.d7.loss_cls: 0.2372, decode.d7.loss_mask: 0.4800, decode.d7.loss_dice: 0.7247, decode.d8.loss_cls: 0.2369, decode.d8.loss_mask: 0.4823, decode.d8.loss_dice: 0.7256, loss: 15.9686, grad_norm: 67.6789 2023-11-22 12:13:42,104 - mmseg - INFO - Iter [91900/160000] lr: 4.054e-06, eta: 11:05:36, time: 0.566, data_time: 0.016, memory: 38143, decode.loss_cls: 0.2408, decode.loss_mask: 0.4699, decode.loss_dice: 0.7147, decode.d0.loss_cls: 1.3368, decode.d0.loss_mask: 0.5077, decode.d0.loss_dice: 0.8056, decode.d1.loss_cls: 0.3181, decode.d1.loss_mask: 0.4897, decode.d1.loss_dice: 0.7614, decode.d2.loss_cls: 0.2792, decode.d2.loss_mask: 0.4773, decode.d2.loss_dice: 0.7401, decode.d3.loss_cls: 0.2590, decode.d3.loss_mask: 0.4741, decode.d3.loss_dice: 0.7214, decode.d4.loss_cls: 0.2548, decode.d4.loss_mask: 0.4694, decode.d4.loss_dice: 0.7200, decode.d5.loss_cls: 0.2450, decode.d5.loss_mask: 0.4703, decode.d5.loss_dice: 0.7246, decode.d6.loss_cls: 0.2411, decode.d6.loss_mask: 0.4703, decode.d6.loss_dice: 0.7143, decode.d7.loss_cls: 0.2401, decode.d7.loss_mask: 0.4711, decode.d7.loss_dice: 0.7195, decode.d8.loss_cls: 0.2393, decode.d8.loss_mask: 0.4710, decode.d8.loss_dice: 0.7209, loss: 15.7676, grad_norm: 64.3910 2023-11-22 12:14:10,336 - mmseg - INFO - Iter [91950/160000] lr: 4.051e-06, eta: 11:05:06, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2601, decode.loss_mask: 0.4920, decode.loss_dice: 0.7472, decode.d0.loss_cls: 1.3537, decode.d0.loss_mask: 0.5296, decode.d0.loss_dice: 0.8351, decode.d1.loss_cls: 0.3518, decode.d1.loss_mask: 0.5139, decode.d1.loss_dice: 0.7879, decode.d2.loss_cls: 0.3085, decode.d2.loss_mask: 0.5038, decode.d2.loss_dice: 0.7657, decode.d3.loss_cls: 0.2799, decode.d3.loss_mask: 0.4975, decode.d3.loss_dice: 0.7503, decode.d4.loss_cls: 0.2785, decode.d4.loss_mask: 0.4944, decode.d4.loss_dice: 0.7513, decode.d5.loss_cls: 0.2700, decode.d5.loss_mask: 0.4948, decode.d5.loss_dice: 0.7496, decode.d6.loss_cls: 0.2666, decode.d6.loss_mask: 0.4927, decode.d6.loss_dice: 0.7471, decode.d7.loss_cls: 0.2683, decode.d7.loss_mask: 0.4931, decode.d7.loss_dice: 0.7475, decode.d8.loss_cls: 0.2640, decode.d8.loss_mask: 0.4926, decode.d8.loss_dice: 0.7462, loss: 16.5338, grad_norm: 73.1273 2023-11-22 12:14:38,635 - mmseg - INFO - Saving checkpoint at 92000 iterations 2023-11-22 12:14:46,532 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 12:14:46,532 - mmseg - INFO - Iter [92000/160000] lr: 4.048e-06, eta: 11:04:42, time: 0.724, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2527, decode.loss_mask: 0.4887, decode.loss_dice: 0.7191, decode.d0.loss_cls: 1.3688, decode.d0.loss_mask: 0.5197, decode.d0.loss_dice: 0.8023, decode.d1.loss_cls: 0.3381, decode.d1.loss_mask: 0.5065, decode.d1.loss_dice: 0.7544, decode.d2.loss_cls: 0.2858, decode.d2.loss_mask: 0.4977, decode.d2.loss_dice: 0.7407, decode.d3.loss_cls: 0.2699, decode.d3.loss_mask: 0.4933, decode.d3.loss_dice: 0.7249, decode.d4.loss_cls: 0.2603, decode.d4.loss_mask: 0.4919, decode.d4.loss_dice: 0.7276, decode.d5.loss_cls: 0.2546, decode.d5.loss_mask: 0.4896, decode.d5.loss_dice: 0.7274, decode.d6.loss_cls: 0.2533, decode.d6.loss_mask: 0.4864, decode.d6.loss_dice: 0.7229, decode.d7.loss_cls: 0.2498, decode.d7.loss_mask: 0.4889, decode.d7.loss_dice: 0.7207, decode.d8.loss_cls: 0.2531, decode.d8.loss_mask: 0.4882, decode.d8.loss_dice: 0.7216, loss: 16.0988, grad_norm: 72.7561 2023-11-22 12:15:05,957 - mmseg - INFO - per class results: 2023-11-22 12:15:05,962 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.74 | 89.02 | | building | 84.91 | 91.44 | | sky | 95.1 | 97.69 | | floor | 84.84 | 91.35 | | tree | 75.77 | 87.9 | | ceiling | 85.47 | 91.59 | | road | 87.49 | 91.44 | | bed | 90.83 | 95.95 | | windowpane | 63.69 | 83.33 | | grass | 71.58 | 82.18 | | cabinet | 65.97 | 77.45 | | sidewalk | 69.24 | 81.85 | | person | 86.04 | 92.25 | | earth | 41.14 | 54.07 | | door | 55.79 | 68.28 | | table | 70.68 | 84.26 | | mountain | 53.55 | 64.97 | | plant | 55.1 | 71.99 | | curtain | 76.2 | 85.45 | | chair | 67.52 | 79.21 | | car | 88.16 | 93.7 | | water | 53.89 | 64.83 | | painting | 74.77 | 90.35 | | sofa | 74.59 | 89.12 | | shelf | 41.47 | 58.2 | | house | 47.74 | 82.41 | | sea | 58.68 | 90.19 | | mirror | 75.58 | 83.32 | | rug | 67.15 | 81.81 | | field | 40.38 | 65.58 | | armchair | 48.24 | 62.41 | | seat | 64.29 | 89.13 | | fence | 50.87 | 67.09 | | desk | 58.81 | 79.35 | | rock | 51.84 | 72.01 | | wardrobe | 57.94 | 81.23 | | lamp | 72.95 | 81.86 | | bathtub | 78.96 | 85.83 | | railing | 42.17 | 59.18 | | cushion | 67.96 | 78.59 | | base | 39.34 | 54.91 | | box | 32.48 | 40.8 | | column | 51.53 | 70.78 | | signboard | 43.2 | 60.71 | | chest of drawers | 42.51 | 59.03 | | counter | 48.32 | 61.02 | | sand | 45.39 | 72.05 | | sink | 73.2 | 85.68 | | skyscraper | 62.34 | 77.97 | | fireplace | 76.33 | 89.36 | | refrigerator | 84.39 | 90.86 | | grandstand | 51.41 | 77.95 | | path | 18.94 | 35.95 | | stairs | 54.79 | 76.95 | | runway | 73.1 | 93.35 | | case | 58.52 | 86.51 | | pool table | 94.14 | 97.77 | | pillow | 63.14 | 74.44 | | screen door | 49.84 | 60.49 | | stairway | 39.71 | 48.15 | | river | 11.92 | 16.82 | | bridge | 81.91 | 91.12 | | bookcase | 30.79 | 69.86 | | blind | 36.13 | 38.51 | | coffee table | 70.0 | 88.19 | | toilet | 89.88 | 91.8 | | flower | 41.8 | 55.35 | | book | 51.34 | 70.7 | | hill | 8.85 | 14.91 | | bench | 63.78 | 74.76 | | countertop | 68.74 | 85.49 | | stove | 85.76 | 91.01 | | palm | 55.28 | 81.91 | | kitchen island | 57.94 | 78.35 | | computer | 76.56 | 86.09 | | swivel chair | 56.45 | 79.19 | | boat | 55.1 | 88.83 | | bar | 62.32 | 69.88 | | arcade machine | 60.0 | 63.4 | | hovel | 44.9 | 49.42 | | bus | 95.0 | 97.14 | | towel | 79.58 | 88.59 | | light | 67.21 | 77.92 | | truck | 46.63 | 52.45 | | tower | 24.39 | 32.31 | | chandelier | 70.42 | 88.37 | | awning | 40.07 | 55.26 | | streetlight | 45.0 | 64.42 | | booth | 52.29 | 66.13 | | television receiver | 76.21 | 87.76 | | airplane | 65.58 | 69.19 | | dirt track | 18.85 | 20.06 | | apparel | 55.4 | 69.99 | | pole | 37.42 | 53.14 | | land | 4.67 | 7.36 | | bannister | 20.64 | 31.54 | | escalator | 24.93 | 26.62 | | ottoman | 56.84 | 75.36 | | bottle | 29.4 | 36.82 | | buffet | 51.45 | 64.46 | | poster | 27.42 | 46.24 | | stage | 24.96 | 48.3 | | van | 46.81 | 71.74 | | ship | 41.15 | 78.01 | | fountain | 21.58 | 21.91 | | conveyer belt | 70.44 | 95.09 | | canopy | 17.62 | 31.98 | | washer | 71.13 | 73.01 | | plaything | 37.93 | 56.64 | | swimming pool | 71.62 | 72.24 | | stool | 52.92 | 71.57 | | barrel | 28.83 | 98.04 | | basket | 43.63 | 58.06 | | waterfall | 52.05 | 93.3 | | tent | 90.29 | 98.05 | | bag | 24.58 | 35.96 | | minibike | 74.17 | 92.82 | | cradle | 75.27 | 97.52 | | oven | 26.4 | 74.12 | | ball | 22.1 | 66.08 | | food | 64.09 | 71.15 | | step | 27.76 | 44.06 | | tank | 62.99 | 66.32 | | trade name | 29.65 | 35.78 | | microwave | 43.61 | 46.14 | | pot | 54.06 | 67.53 | | animal | 58.22 | 59.34 | | bicycle | 58.76 | 82.95 | | lake | 43.43 | 63.67 | | dishwasher | 78.0 | 82.62 | | screen | 47.32 | 68.93 | | blanket | 39.71 | 51.87 | | sculpture | 64.07 | 89.09 | | hood | 73.98 | 78.01 | | sconce | 61.46 | 75.21 | | vase | 57.37 | 73.93 | | traffic light | 47.0 | 71.2 | | tray | 20.84 | 28.8 | | ashcan | 49.34 | 73.28 | | fan | 69.72 | 86.29 | | pier | 62.41 | 82.29 | | crt screen | 4.27 | 14.84 | | plate | 64.21 | 81.89 | | monitor | 1.93 | 2.48 | | bulletin board | 46.26 | 80.5 | | shower | 2.02 | 25.74 | | radiator | 68.29 | 82.33 | | glass | 23.9 | 26.41 | | clock | 58.8 | 70.09 | | flag | 50.52 | 57.98 | +---------------------+-------+-------+ 2023-11-22 12:15:05,962 - mmseg - INFO - Summary: 2023-11-22 12:15:05,962 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.19 | 54.71 | 69.36 | +-------+-------+-------+ 2023-11-22 12:15:05,963 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 12:15:05,963 - mmseg - INFO - Iter(val) [250] aAcc: 0.8519, mIoU: 0.5471, mAcc: 0.6936, IoU.wall: 0.8074, IoU.building: 0.8491, IoU.sky: 0.9510, IoU.floor: 0.8484, IoU.tree: 0.7577, IoU.ceiling: 0.8547, IoU.road: 0.8749, IoU.bed : 0.9083, IoU.windowpane: 0.6369, IoU.grass: 0.7158, IoU.cabinet: 0.6597, IoU.sidewalk: 0.6924, IoU.person: 0.8604, IoU.earth: 0.4114, IoU.door: 0.5579, IoU.table: 0.7068, IoU.mountain: 0.5355, IoU.plant: 0.5510, IoU.curtain: 0.7620, IoU.chair: 0.6752, IoU.car: 0.8816, IoU.water: 0.5389, IoU.painting: 0.7477, IoU.sofa: 0.7459, IoU.shelf: 0.4147, IoU.house: 0.4774, IoU.sea: 0.5868, IoU.mirror: 0.7558, IoU.rug: 0.6715, IoU.field: 0.4038, IoU.armchair: 0.4824, IoU.seat: 0.6429, IoU.fence: 0.5087, IoU.desk: 0.5881, IoU.rock: 0.5184, IoU.wardrobe: 0.5794, IoU.lamp: 0.7295, IoU.bathtub: 0.7896, IoU.railing: 0.4217, IoU.cushion: 0.6796, IoU.base: 0.3934, IoU.box: 0.3248, IoU.column: 0.5153, IoU.signboard: 0.4320, IoU.chest of drawers: 0.4251, IoU.counter: 0.4832, IoU.sand: 0.4539, IoU.sink: 0.7320, IoU.skyscraper: 0.6234, IoU.fireplace: 0.7633, IoU.refrigerator: 0.8439, IoU.grandstand: 0.5141, IoU.path: 0.1894, IoU.stairs: 0.5479, IoU.runway: 0.7310, IoU.case: 0.5852, IoU.pool table: 0.9414, IoU.pillow: 0.6314, IoU.screen door: 0.4984, IoU.stairway: 0.3971, IoU.river: 0.1192, IoU.bridge: 0.8191, IoU.bookcase: 0.3079, IoU.blind: 0.3613, IoU.coffee table: 0.7000, IoU.toilet: 0.8988, IoU.flower: 0.4180, IoU.book: 0.5134, IoU.hill: 0.0885, IoU.bench: 0.6378, IoU.countertop: 0.6874, IoU.stove: 0.8576, IoU.palm: 0.5528, IoU.kitchen island: 0.5794, IoU.computer: 0.7656, IoU.swivel chair: 0.5645, IoU.boat: 0.5510, IoU.bar: 0.6232, IoU.arcade machine: 0.6000, IoU.hovel: 0.4490, IoU.bus: 0.9500, IoU.towel: 0.7958, IoU.light: 0.6721, IoU.truck: 0.4663, IoU.tower: 0.2439, IoU.chandelier: 0.7042, IoU.awning: 0.4007, IoU.streetlight: 0.4500, IoU.booth: 0.5229, IoU.television receiver: 0.7621, IoU.airplane: 0.6558, IoU.dirt track: 0.1885, IoU.apparel: 0.5540, IoU.pole: 0.3742, IoU.land: 0.0467, IoU.bannister: 0.2064, IoU.escalator: 0.2493, IoU.ottoman: 0.5684, IoU.bottle: 0.2940, IoU.buffet: 0.5145, IoU.poster: 0.2742, IoU.stage: 0.2496, IoU.van: 0.4681, IoU.ship: 0.4115, IoU.fountain: 0.2158, IoU.conveyer belt: 0.7044, IoU.canopy: 0.1762, IoU.washer: 0.7113, IoU.plaything: 0.3793, IoU.swimming pool: 0.7162, IoU.stool: 0.5292, IoU.barrel: 0.2883, IoU.basket: 0.4363, IoU.waterfall: 0.5205, IoU.tent: 0.9029, IoU.bag: 0.2458, IoU.minibike: 0.7417, IoU.cradle: 0.7527, IoU.oven: 0.2640, IoU.ball: 0.2210, IoU.food: 0.6409, IoU.step: 0.2776, IoU.tank: 0.6299, IoU.trade name: 0.2965, IoU.microwave: 0.4361, IoU.pot: 0.5406, IoU.animal: 0.5822, IoU.bicycle: 0.5876, IoU.lake: 0.4343, IoU.dishwasher: 0.7800, IoU.screen: 0.4732, IoU.blanket: 0.3971, IoU.sculpture: 0.6407, IoU.hood: 0.7398, IoU.sconce: 0.6146, IoU.vase: 0.5737, IoU.traffic light: 0.4700, IoU.tray: 0.2084, IoU.ashcan: 0.4934, IoU.fan: 0.6972, IoU.pier: 0.6241, IoU.crt screen: 0.0427, IoU.plate: 0.6421, IoU.monitor: 0.0193, IoU.bulletin board: 0.4626, IoU.shower: 0.0202, IoU.radiator: 0.6829, IoU.glass: 0.2390, IoU.clock: 0.5880, IoU.flag: 0.5052, Acc.wall: 0.8902, Acc.building: 0.9144, Acc.sky: 0.9769, Acc.floor: 0.9135, Acc.tree: 0.8790, Acc.ceiling: 0.9159, Acc.road: 0.9144, Acc.bed : 0.9595, Acc.windowpane: 0.8333, Acc.grass: 0.8218, Acc.cabinet: 0.7745, Acc.sidewalk: 0.8185, Acc.person: 0.9225, Acc.earth: 0.5407, Acc.door: 0.6828, Acc.table: 0.8426, Acc.mountain: 0.6497, Acc.plant: 0.7199, Acc.curtain: 0.8545, Acc.chair: 0.7921, Acc.car: 0.9370, Acc.water: 0.6483, Acc.painting: 0.9035, Acc.sofa: 0.8912, Acc.shelf: 0.5820, Acc.house: 0.8241, Acc.sea: 0.9019, Acc.mirror: 0.8332, Acc.rug: 0.8181, Acc.field: 0.6558, Acc.armchair: 0.6241, Acc.seat: 0.8913, Acc.fence: 0.6709, Acc.desk: 0.7935, Acc.rock: 0.7201, Acc.wardrobe: 0.8123, Acc.lamp: 0.8186, Acc.bathtub: 0.8583, Acc.railing: 0.5918, Acc.cushion: 0.7859, Acc.base: 0.5491, Acc.box: 0.4080, Acc.column: 0.7078, Acc.signboard: 0.6071, Acc.chest of drawers: 0.5903, Acc.counter: 0.6102, Acc.sand: 0.7205, Acc.sink: 0.8568, Acc.skyscraper: 0.7797, Acc.fireplace: 0.8936, Acc.refrigerator: 0.9086, Acc.grandstand: 0.7795, Acc.path: 0.3595, Acc.stairs: 0.7695, Acc.runway: 0.9335, Acc.case: 0.8651, Acc.pool table: 0.9777, Acc.pillow: 0.7444, Acc.screen door: 0.6049, Acc.stairway: 0.4815, Acc.river: 0.1682, Acc.bridge: 0.9112, Acc.bookcase: 0.6986, Acc.blind: 0.3851, Acc.coffee table: 0.8819, Acc.toilet: 0.9180, Acc.flower: 0.5535, Acc.book: 0.7070, Acc.hill: 0.1491, Acc.bench: 0.7476, Acc.countertop: 0.8549, Acc.stove: 0.9101, Acc.palm: 0.8191, Acc.kitchen island: 0.7835, Acc.computer: 0.8609, Acc.swivel chair: 0.7919, Acc.boat: 0.8883, Acc.bar: 0.6988, Acc.arcade machine: 0.6340, Acc.hovel: 0.4942, Acc.bus: 0.9714, Acc.towel: 0.8859, Acc.light: 0.7792, Acc.truck: 0.5245, Acc.tower: 0.3231, Acc.chandelier: 0.8837, Acc.awning: 0.5526, Acc.streetlight: 0.6442, Acc.booth: 0.6613, Acc.television receiver: 0.8776, Acc.airplane: 0.6919, Acc.dirt track: 0.2006, Acc.apparel: 0.6999, Acc.pole: 0.5314, Acc.land: 0.0736, Acc.bannister: 0.3154, Acc.escalator: 0.2662, Acc.ottoman: 0.7536, Acc.bottle: 0.3682, Acc.buffet: 0.6446, Acc.poster: 0.4624, Acc.stage: 0.4830, Acc.van: 0.7174, Acc.ship: 0.7801, Acc.fountain: 0.2191, Acc.conveyer belt: 0.9509, Acc.canopy: 0.3198, Acc.washer: 0.7301, Acc.plaything: 0.5664, Acc.swimming pool: 0.7224, Acc.stool: 0.7157, Acc.barrel: 0.9804, Acc.basket: 0.5806, Acc.waterfall: 0.9330, Acc.tent: 0.9805, Acc.bag: 0.3596, Acc.minibike: 0.9282, Acc.cradle: 0.9752, Acc.oven: 0.7412, Acc.ball: 0.6608, Acc.food: 0.7115, Acc.step: 0.4406, Acc.tank: 0.6632, Acc.trade name: 0.3578, Acc.microwave: 0.4614, Acc.pot: 0.6753, Acc.animal: 0.5934, Acc.bicycle: 0.8295, Acc.lake: 0.6367, Acc.dishwasher: 0.8262, Acc.screen: 0.6893, Acc.blanket: 0.5187, Acc.sculpture: 0.8909, Acc.hood: 0.7801, Acc.sconce: 0.7521, Acc.vase: 0.7393, Acc.traffic light: 0.7120, Acc.tray: 0.2880, Acc.ashcan: 0.7328, Acc.fan: 0.8629, Acc.pier: 0.8229, Acc.crt screen: 0.1484, Acc.plate: 0.8189, Acc.monitor: 0.0248, Acc.bulletin board: 0.8050, Acc.shower: 0.2574, Acc.radiator: 0.8233, Acc.glass: 0.2641, Acc.clock: 0.7009, Acc.flag: 0.5798 2023-11-22 12:15:34,149 - mmseg - INFO - Iter [92050/160000] lr: 4.045e-06, eta: 11:04:26, time: 0.952, data_time: 0.402, memory: 38143, decode.loss_cls: 0.2419, decode.loss_mask: 0.4976, decode.loss_dice: 0.7454, decode.d0.loss_cls: 1.3709, decode.d0.loss_mask: 0.5268, decode.d0.loss_dice: 0.8359, decode.d1.loss_cls: 0.3264, decode.d1.loss_mask: 0.5137, decode.d1.loss_dice: 0.7870, decode.d2.loss_cls: 0.2748, decode.d2.loss_mask: 0.5050, decode.d2.loss_dice: 0.7735, decode.d3.loss_cls: 0.2542, decode.d3.loss_mask: 0.5005, decode.d3.loss_dice: 0.7578, decode.d4.loss_cls: 0.2487, decode.d4.loss_mask: 0.4982, decode.d4.loss_dice: 0.7524, decode.d5.loss_cls: 0.2488, decode.d5.loss_mask: 0.4988, decode.d5.loss_dice: 0.7553, decode.d6.loss_cls: 0.2435, decode.d6.loss_mask: 0.4971, decode.d6.loss_dice: 0.7517, decode.d7.loss_cls: 0.2432, decode.d7.loss_mask: 0.4970, decode.d7.loss_dice: 0.7530, decode.d8.loss_cls: 0.2397, decode.d8.loss_mask: 0.4981, decode.d8.loss_dice: 0.7536, loss: 16.3905, grad_norm: 69.1226 2023-11-22 12:16:02,554 - mmseg - INFO - Iter [92100/160000] lr: 4.042e-06, eta: 11:03:56, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2319, decode.loss_mask: 0.4834, decode.loss_dice: 0.7050, decode.d0.loss_cls: 1.3373, decode.d0.loss_mask: 0.5142, decode.d0.loss_dice: 0.7944, decode.d1.loss_cls: 0.3157, decode.d1.loss_mask: 0.4979, decode.d1.loss_dice: 0.7496, decode.d2.loss_cls: 0.2650, decode.d2.loss_mask: 0.4918, decode.d2.loss_dice: 0.7294, decode.d3.loss_cls: 0.2495, decode.d3.loss_mask: 0.4880, decode.d3.loss_dice: 0.7205, decode.d4.loss_cls: 0.2423, decode.d4.loss_mask: 0.4859, decode.d4.loss_dice: 0.7138, decode.d5.loss_cls: 0.2348, decode.d5.loss_mask: 0.4879, decode.d5.loss_dice: 0.7153, decode.d6.loss_cls: 0.2363, decode.d6.loss_mask: 0.4863, decode.d6.loss_dice: 0.7123, decode.d7.loss_cls: 0.2343, decode.d7.loss_mask: 0.4854, decode.d7.loss_dice: 0.7146, decode.d8.loss_cls: 0.2303, decode.d8.loss_mask: 0.4858, decode.d8.loss_dice: 0.7093, loss: 15.7480, grad_norm: 73.6948 2023-11-22 12:16:30,997 - mmseg - INFO - Iter [92150/160000] lr: 4.039e-06, eta: 11:03:26, time: 0.569, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2522, decode.loss_mask: 0.5140, decode.loss_dice: 0.7631, decode.d0.loss_cls: 1.3608, decode.d0.loss_mask: 0.5446, decode.d0.loss_dice: 0.8545, decode.d1.loss_cls: 0.3304, decode.d1.loss_mask: 0.5326, decode.d1.loss_dice: 0.8116, decode.d2.loss_cls: 0.2851, decode.d2.loss_mask: 0.5219, decode.d2.loss_dice: 0.7898, decode.d3.loss_cls: 0.2671, decode.d3.loss_mask: 0.5195, decode.d3.loss_dice: 0.7799, decode.d4.loss_cls: 0.2576, decode.d4.loss_mask: 0.5170, decode.d4.loss_dice: 0.7758, decode.d5.loss_cls: 0.2540, decode.d5.loss_mask: 0.5153, decode.d5.loss_dice: 0.7737, decode.d6.loss_cls: 0.2571, decode.d6.loss_mask: 0.5126, decode.d6.loss_dice: 0.7654, decode.d7.loss_cls: 0.2577, decode.d7.loss_mask: 0.5117, decode.d7.loss_dice: 0.7641, decode.d8.loss_cls: 0.2569, decode.d8.loss_mask: 0.5131, decode.d8.loss_dice: 0.7619, loss: 16.8211, grad_norm: 70.6597 2023-11-22 12:17:01,745 - mmseg - INFO - Iter [92200/160000] lr: 4.036e-06, eta: 11:02:58, time: 0.615, data_time: 0.058, memory: 38143, decode.loss_cls: 0.2486, decode.loss_mask: 0.4921, decode.loss_dice: 0.7451, decode.d0.loss_cls: 1.3835, decode.d0.loss_mask: 0.5253, decode.d0.loss_dice: 0.8383, decode.d1.loss_cls: 0.3424, decode.d1.loss_mask: 0.5076, decode.d1.loss_dice: 0.7878, decode.d2.loss_cls: 0.2862, decode.d2.loss_mask: 0.5019, decode.d2.loss_dice: 0.7621, decode.d3.loss_cls: 0.2721, decode.d3.loss_mask: 0.4945, decode.d3.loss_dice: 0.7519, decode.d4.loss_cls: 0.2669, decode.d4.loss_mask: 0.4938, decode.d4.loss_dice: 0.7490, decode.d5.loss_cls: 0.2612, decode.d5.loss_mask: 0.4928, decode.d5.loss_dice: 0.7478, decode.d6.loss_cls: 0.2582, decode.d6.loss_mask: 0.4923, decode.d6.loss_dice: 0.7446, decode.d7.loss_cls: 0.2566, decode.d7.loss_mask: 0.4919, decode.d7.loss_dice: 0.7458, decode.d8.loss_cls: 0.2510, decode.d8.loss_mask: 0.4913, decode.d8.loss_dice: 0.7416, loss: 16.4244, grad_norm: 70.1420 2023-11-22 12:17:30,027 - mmseg - INFO - Iter [92250/160000] lr: 4.033e-06, eta: 11:02:28, time: 0.566, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2547, decode.loss_mask: 0.5010, decode.loss_dice: 0.7535, decode.d0.loss_cls: 1.3784, decode.d0.loss_mask: 0.5406, decode.d0.loss_dice: 0.8408, decode.d1.loss_cls: 0.3437, decode.d1.loss_mask: 0.5226, decode.d1.loss_dice: 0.7990, decode.d2.loss_cls: 0.2995, decode.d2.loss_mask: 0.5117, decode.d2.loss_dice: 0.7746, decode.d3.loss_cls: 0.2843, decode.d3.loss_mask: 0.5063, decode.d3.loss_dice: 0.7541, decode.d4.loss_cls: 0.2715, decode.d4.loss_mask: 0.5033, decode.d4.loss_dice: 0.7591, decode.d5.loss_cls: 0.2637, decode.d5.loss_mask: 0.5014, decode.d5.loss_dice: 0.7580, decode.d6.loss_cls: 0.2606, decode.d6.loss_mask: 0.5025, decode.d6.loss_dice: 0.7523, decode.d7.loss_cls: 0.2612, decode.d7.loss_mask: 0.5029, decode.d7.loss_dice: 0.7530, decode.d8.loss_cls: 0.2516, decode.d8.loss_mask: 0.5021, decode.d8.loss_dice: 0.7537, loss: 16.6616, grad_norm: 73.1178 2023-11-22 12:17:58,322 - mmseg - INFO - Iter [92300/160000] lr: 4.030e-06, eta: 11:01:58, time: 0.566, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2430, decode.loss_mask: 0.4510, decode.loss_dice: 0.6939, decode.d0.loss_cls: 1.3775, decode.d0.loss_mask: 0.4855, decode.d0.loss_dice: 0.7897, decode.d1.loss_cls: 0.3241, decode.d1.loss_mask: 0.4739, decode.d1.loss_dice: 0.7395, decode.d2.loss_cls: 0.2742, decode.d2.loss_mask: 0.4612, decode.d2.loss_dice: 0.7160, decode.d3.loss_cls: 0.2587, decode.d3.loss_mask: 0.4537, decode.d3.loss_dice: 0.6983, decode.d4.loss_cls: 0.2532, decode.d4.loss_mask: 0.4537, decode.d4.loss_dice: 0.7014, decode.d5.loss_cls: 0.2540, decode.d5.loss_mask: 0.4542, decode.d5.loss_dice: 0.6980, decode.d6.loss_cls: 0.2477, decode.d6.loss_mask: 0.4533, decode.d6.loss_dice: 0.6938, decode.d7.loss_cls: 0.2458, decode.d7.loss_mask: 0.4527, decode.d7.loss_dice: 0.6956, decode.d8.loss_cls: 0.2402, decode.d8.loss_mask: 0.4520, decode.d8.loss_dice: 0.7009, loss: 15.4368, grad_norm: 67.2911 2023-11-22 12:18:26,614 - mmseg - INFO - Iter [92350/160000] lr: 4.027e-06, eta: 11:01:28, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2413, decode.loss_mask: 0.4925, decode.loss_dice: 0.7226, decode.d0.loss_cls: 1.3669, decode.d0.loss_mask: 0.5285, decode.d0.loss_dice: 0.8197, decode.d1.loss_cls: 0.3371, decode.d1.loss_mask: 0.5098, decode.d1.loss_dice: 0.7681, decode.d2.loss_cls: 0.2881, decode.d2.loss_mask: 0.5001, decode.d2.loss_dice: 0.7473, decode.d3.loss_cls: 0.2614, decode.d3.loss_mask: 0.4968, decode.d3.loss_dice: 0.7292, decode.d4.loss_cls: 0.2537, decode.d4.loss_mask: 0.4950, decode.d4.loss_dice: 0.7253, decode.d5.loss_cls: 0.2495, decode.d5.loss_mask: 0.4954, decode.d5.loss_dice: 0.7285, decode.d6.loss_cls: 0.2526, decode.d6.loss_mask: 0.4924, decode.d6.loss_dice: 0.7216, decode.d7.loss_cls: 0.2438, decode.d7.loss_mask: 0.4943, decode.d7.loss_dice: 0.7239, decode.d8.loss_cls: 0.2462, decode.d8.loss_mask: 0.4931, decode.d8.loss_dice: 0.7224, loss: 16.1471, grad_norm: 74.6079 2023-11-22 12:18:54,961 - mmseg - INFO - Iter [92400/160000] lr: 4.024e-06, eta: 11:00:58, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2486, decode.loss_mask: 0.4766, decode.loss_dice: 0.7326, decode.d0.loss_cls: 1.3794, decode.d0.loss_mask: 0.5113, decode.d0.loss_dice: 0.8199, decode.d1.loss_cls: 0.3430, decode.d1.loss_mask: 0.4899, decode.d1.loss_dice: 0.7655, decode.d2.loss_cls: 0.2913, decode.d2.loss_mask: 0.4804, decode.d2.loss_dice: 0.7464, decode.d3.loss_cls: 0.2744, decode.d3.loss_mask: 0.4756, decode.d3.loss_dice: 0.7287, decode.d4.loss_cls: 0.2658, decode.d4.loss_mask: 0.4757, decode.d4.loss_dice: 0.7308, decode.d5.loss_cls: 0.2556, decode.d5.loss_mask: 0.4760, decode.d5.loss_dice: 0.7320, decode.d6.loss_cls: 0.2541, decode.d6.loss_mask: 0.4751, decode.d6.loss_dice: 0.7301, decode.d7.loss_cls: 0.2533, decode.d7.loss_mask: 0.4753, decode.d7.loss_dice: 0.7293, decode.d8.loss_cls: 0.2454, decode.d8.loss_mask: 0.4771, decode.d8.loss_dice: 0.7321, loss: 16.0711, grad_norm: 68.5841 2023-11-22 12:19:23,586 - mmseg - INFO - Iter [92450/160000] lr: 4.021e-06, eta: 11:00:28, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2547, decode.loss_mask: 0.4795, decode.loss_dice: 0.7355, decode.d0.loss_cls: 1.3853, decode.d0.loss_mask: 0.5196, decode.d0.loss_dice: 0.8331, decode.d1.loss_cls: 0.3477, decode.d1.loss_mask: 0.4978, decode.d1.loss_dice: 0.7807, decode.d2.loss_cls: 0.2950, decode.d2.loss_mask: 0.4861, decode.d2.loss_dice: 0.7572, decode.d3.loss_cls: 0.2754, decode.d3.loss_mask: 0.4811, decode.d3.loss_dice: 0.7489, decode.d4.loss_cls: 0.2709, decode.d4.loss_mask: 0.4808, decode.d4.loss_dice: 0.7428, decode.d5.loss_cls: 0.2597, decode.d5.loss_mask: 0.4817, decode.d5.loss_dice: 0.7457, decode.d6.loss_cls: 0.2593, decode.d6.loss_mask: 0.4798, decode.d6.loss_dice: 0.7436, decode.d7.loss_cls: 0.2619, decode.d7.loss_mask: 0.4790, decode.d7.loss_dice: 0.7411, decode.d8.loss_cls: 0.2596, decode.d8.loss_mask: 0.4801, decode.d8.loss_dice: 0.7402, loss: 16.3039, grad_norm: 70.7409 2023-11-22 12:19:51,838 - mmseg - INFO - Iter [92500/160000] lr: 4.018e-06, eta: 10:59:58, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2310, decode.loss_mask: 0.4742, decode.loss_dice: 0.7279, decode.d0.loss_cls: 1.3476, decode.d0.loss_mask: 0.5020, decode.d0.loss_dice: 0.8076, decode.d1.loss_cls: 0.3193, decode.d1.loss_mask: 0.4863, decode.d1.loss_dice: 0.7708, decode.d2.loss_cls: 0.2689, decode.d2.loss_mask: 0.4799, decode.d2.loss_dice: 0.7515, decode.d3.loss_cls: 0.2510, decode.d3.loss_mask: 0.4759, decode.d3.loss_dice: 0.7301, decode.d4.loss_cls: 0.2380, decode.d4.loss_mask: 0.4750, decode.d4.loss_dice: 0.7356, decode.d5.loss_cls: 0.2317, decode.d5.loss_mask: 0.4751, decode.d5.loss_dice: 0.7352, decode.d6.loss_cls: 0.2370, decode.d6.loss_mask: 0.4731, decode.d6.loss_dice: 0.7306, decode.d7.loss_cls: 0.2277, decode.d7.loss_mask: 0.4739, decode.d7.loss_dice: 0.7304, decode.d8.loss_cls: 0.2255, decode.d8.loss_mask: 0.4756, decode.d8.loss_dice: 0.7315, loss: 15.8199, grad_norm: 75.0042 2023-11-22 12:20:20,074 - mmseg - INFO - Iter [92550/160000] lr: 4.015e-06, eta: 10:59:27, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2261, decode.loss_mask: 0.4762, decode.loss_dice: 0.7281, decode.d0.loss_cls: 1.3144, decode.d0.loss_mask: 0.5077, decode.d0.loss_dice: 0.8151, decode.d1.loss_cls: 0.3017, decode.d1.loss_mask: 0.4982, decode.d1.loss_dice: 0.7683, decode.d2.loss_cls: 0.2646, decode.d2.loss_mask: 0.4887, decode.d2.loss_dice: 0.7486, decode.d3.loss_cls: 0.2388, decode.d3.loss_mask: 0.4852, decode.d3.loss_dice: 0.7339, decode.d4.loss_cls: 0.2392, decode.d4.loss_mask: 0.4801, decode.d4.loss_dice: 0.7300, decode.d5.loss_cls: 0.2333, decode.d5.loss_mask: 0.4780, decode.d5.loss_dice: 0.7318, decode.d6.loss_cls: 0.2299, decode.d6.loss_mask: 0.4784, decode.d6.loss_dice: 0.7324, decode.d7.loss_cls: 0.2259, decode.d7.loss_mask: 0.4771, decode.d7.loss_dice: 0.7308, decode.d8.loss_cls: 0.2259, decode.d8.loss_mask: 0.4781, decode.d8.loss_dice: 0.7301, loss: 15.7966, grad_norm: 70.9798 2023-11-22 12:20:48,378 - mmseg - INFO - Iter [92600/160000] lr: 4.012e-06, eta: 10:58:57, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2397, decode.loss_mask: 0.4941, decode.loss_dice: 0.7285, decode.d0.loss_cls: 1.3355, decode.d0.loss_mask: 0.5354, decode.d0.loss_dice: 0.8145, decode.d1.loss_cls: 0.3177, decode.d1.loss_mask: 0.5122, decode.d1.loss_dice: 0.7655, decode.d2.loss_cls: 0.2697, decode.d2.loss_mask: 0.5011, decode.d2.loss_dice: 0.7510, decode.d3.loss_cls: 0.2572, decode.d3.loss_mask: 0.4959, decode.d3.loss_dice: 0.7374, decode.d4.loss_cls: 0.2482, decode.d4.loss_mask: 0.4955, decode.d4.loss_dice: 0.7393, decode.d5.loss_cls: 0.2436, decode.d5.loss_mask: 0.4945, decode.d5.loss_dice: 0.7311, decode.d6.loss_cls: 0.2398, decode.d6.loss_mask: 0.4935, decode.d6.loss_dice: 0.7268, decode.d7.loss_cls: 0.2404, decode.d7.loss_mask: 0.4949, decode.d7.loss_dice: 0.7293, decode.d8.loss_cls: 0.2334, decode.d8.loss_mask: 0.4970, decode.d8.loss_dice: 0.7295, loss: 16.0923, grad_norm: 76.3842 2023-11-22 12:21:16,493 - mmseg - INFO - Iter [92650/160000] lr: 4.009e-06, eta: 10:58:27, time: 0.562, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2190, decode.loss_mask: 0.4931, decode.loss_dice: 0.7114, decode.d0.loss_cls: 1.3361, decode.d0.loss_mask: 0.5320, decode.d0.loss_dice: 0.7906, decode.d1.loss_cls: 0.3041, decode.d1.loss_mask: 0.5157, decode.d1.loss_dice: 0.7511, decode.d2.loss_cls: 0.2486, decode.d2.loss_mask: 0.5025, decode.d2.loss_dice: 0.7323, decode.d3.loss_cls: 0.2397, decode.d3.loss_mask: 0.4978, decode.d3.loss_dice: 0.7148, decode.d4.loss_cls: 0.2356, decode.d4.loss_mask: 0.4960, decode.d4.loss_dice: 0.7132, decode.d5.loss_cls: 0.2252, decode.d5.loss_mask: 0.4944, decode.d5.loss_dice: 0.7140, decode.d6.loss_cls: 0.2267, decode.d6.loss_mask: 0.4938, decode.d6.loss_dice: 0.7129, decode.d7.loss_cls: 0.2248, decode.d7.loss_mask: 0.4928, decode.d7.loss_dice: 0.7099, decode.d8.loss_cls: 0.2181, decode.d8.loss_mask: 0.4936, decode.d8.loss_dice: 0.7105, loss: 15.7503, grad_norm: 76.1603 2023-11-22 12:21:44,901 - mmseg - INFO - Iter [92700/160000] lr: 4.006e-06, eta: 10:57:57, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2513, decode.loss_mask: 0.5019, decode.loss_dice: 0.7431, decode.d0.loss_cls: 1.3370, decode.d0.loss_mask: 0.5335, decode.d0.loss_dice: 0.8356, decode.d1.loss_cls: 0.3261, decode.d1.loss_mask: 0.5196, decode.d1.loss_dice: 0.7889, decode.d2.loss_cls: 0.2767, decode.d2.loss_mask: 0.5081, decode.d2.loss_dice: 0.7637, decode.d3.loss_cls: 0.2647, decode.d3.loss_mask: 0.5048, decode.d3.loss_dice: 0.7529, decode.d4.loss_cls: 0.2579, decode.d4.loss_mask: 0.5044, decode.d4.loss_dice: 0.7563, decode.d5.loss_cls: 0.2578, decode.d5.loss_mask: 0.5017, decode.d5.loss_dice: 0.7563, decode.d6.loss_cls: 0.2588, decode.d6.loss_mask: 0.5000, decode.d6.loss_dice: 0.7491, decode.d7.loss_cls: 0.2562, decode.d7.loss_mask: 0.5001, decode.d7.loss_dice: 0.7488, decode.d8.loss_cls: 0.2474, decode.d8.loss_mask: 0.5020, decode.d8.loss_dice: 0.7477, loss: 16.4521, grad_norm: 68.8031 2023-11-22 12:22:13,365 - mmseg - INFO - Iter [92750/160000] lr: 4.003e-06, eta: 10:57:27, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2520, decode.loss_mask: 0.4853, decode.loss_dice: 0.7487, decode.d0.loss_cls: 1.3914, decode.d0.loss_mask: 0.5229, decode.d0.loss_dice: 0.8429, decode.d1.loss_cls: 0.3449, decode.d1.loss_mask: 0.5038, decode.d1.loss_dice: 0.7919, decode.d2.loss_cls: 0.2915, decode.d2.loss_mask: 0.4961, decode.d2.loss_dice: 0.7673, decode.d3.loss_cls: 0.2764, decode.d3.loss_mask: 0.4883, decode.d3.loss_dice: 0.7524, decode.d4.loss_cls: 0.2698, decode.d4.loss_mask: 0.4881, decode.d4.loss_dice: 0.7544, decode.d5.loss_cls: 0.2584, decode.d5.loss_mask: 0.4867, decode.d5.loss_dice: 0.7507, decode.d6.loss_cls: 0.2589, decode.d6.loss_mask: 0.4896, decode.d6.loss_dice: 0.7464, decode.d7.loss_cls: 0.2541, decode.d7.loss_mask: 0.4893, decode.d7.loss_dice: 0.7501, decode.d8.loss_cls: 0.2511, decode.d8.loss_mask: 0.4885, decode.d8.loss_dice: 0.7516, loss: 16.4439, grad_norm: 65.4287 2023-11-22 12:22:41,486 - mmseg - INFO - Iter [92800/160000] lr: 4.000e-06, eta: 10:56:57, time: 0.562, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2388, decode.loss_mask: 0.5221, decode.loss_dice: 0.7671, decode.d0.loss_cls: 1.3084, decode.d0.loss_mask: 0.5593, decode.d0.loss_dice: 0.8504, decode.d1.loss_cls: 0.3203, decode.d1.loss_mask: 0.5323, decode.d1.loss_dice: 0.8102, decode.d2.loss_cls: 0.2739, decode.d2.loss_mask: 0.5265, decode.d2.loss_dice: 0.7870, decode.d3.loss_cls: 0.2646, decode.d3.loss_mask: 0.5208, decode.d3.loss_dice: 0.7695, decode.d4.loss_cls: 0.2568, decode.d4.loss_mask: 0.5218, decode.d4.loss_dice: 0.7737, decode.d5.loss_cls: 0.2478, decode.d5.loss_mask: 0.5217, decode.d5.loss_dice: 0.7703, decode.d6.loss_cls: 0.2445, decode.d6.loss_mask: 0.5206, decode.d6.loss_dice: 0.7637, decode.d7.loss_cls: 0.2428, decode.d7.loss_mask: 0.5196, decode.d7.loss_dice: 0.7666, decode.d8.loss_cls: 0.2403, decode.d8.loss_mask: 0.5234, decode.d8.loss_dice: 0.7682, loss: 16.7328, grad_norm: 75.2257 2023-11-22 12:23:09,718 - mmseg - INFO - Iter [92850/160000] lr: 3.998e-06, eta: 10:56:27, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2410, decode.loss_mask: 0.4919, decode.loss_dice: 0.7414, decode.d0.loss_cls: 1.3254, decode.d0.loss_mask: 0.5251, decode.d0.loss_dice: 0.8320, decode.d1.loss_cls: 0.3287, decode.d1.loss_mask: 0.5098, decode.d1.loss_dice: 0.7780, decode.d2.loss_cls: 0.2789, decode.d2.loss_mask: 0.4940, decode.d2.loss_dice: 0.7602, decode.d3.loss_cls: 0.2631, decode.d3.loss_mask: 0.4898, decode.d3.loss_dice: 0.7441, decode.d4.loss_cls: 0.2526, decode.d4.loss_mask: 0.4910, decode.d4.loss_dice: 0.7465, decode.d5.loss_cls: 0.2492, decode.d5.loss_mask: 0.4899, decode.d5.loss_dice: 0.7417, decode.d6.loss_cls: 0.2455, decode.d6.loss_mask: 0.4932, decode.d6.loss_dice: 0.7411, decode.d7.loss_cls: 0.2416, decode.d7.loss_mask: 0.4934, decode.d7.loss_dice: 0.7409, decode.d8.loss_cls: 0.2417, decode.d8.loss_mask: 0.4916, decode.d8.loss_dice: 0.7390, loss: 16.2024, grad_norm: 81.8114 2023-11-22 12:23:38,001 - mmseg - INFO - Iter [92900/160000] lr: 3.995e-06, eta: 10:55:57, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2549, decode.loss_mask: 0.4958, decode.loss_dice: 0.7309, decode.d0.loss_cls: 1.3670, decode.d0.loss_mask: 0.5279, decode.d0.loss_dice: 0.8265, decode.d1.loss_cls: 0.3370, decode.d1.loss_mask: 0.5117, decode.d1.loss_dice: 0.7826, decode.d2.loss_cls: 0.2992, decode.d2.loss_mask: 0.5038, decode.d2.loss_dice: 0.7588, decode.d3.loss_cls: 0.2768, decode.d3.loss_mask: 0.4991, decode.d3.loss_dice: 0.7420, decode.d4.loss_cls: 0.2716, decode.d4.loss_mask: 0.4967, decode.d4.loss_dice: 0.7415, decode.d5.loss_cls: 0.2644, decode.d5.loss_mask: 0.4963, decode.d5.loss_dice: 0.7383, decode.d6.loss_cls: 0.2632, decode.d6.loss_mask: 0.4957, decode.d6.loss_dice: 0.7346, decode.d7.loss_cls: 0.2540, decode.d7.loss_mask: 0.4946, decode.d7.loss_dice: 0.7333, decode.d8.loss_cls: 0.2514, decode.d8.loss_mask: 0.4966, decode.d8.loss_dice: 0.7378, loss: 16.3842, grad_norm: 69.2803 2023-11-22 12:24:06,331 - mmseg - INFO - Iter [92950/160000] lr: 3.992e-06, eta: 10:55:27, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2401, decode.loss_mask: 0.4815, decode.loss_dice: 0.7205, decode.d0.loss_cls: 1.3655, decode.d0.loss_mask: 0.5153, decode.d0.loss_dice: 0.8091, decode.d1.loss_cls: 0.3353, decode.d1.loss_mask: 0.4989, decode.d1.loss_dice: 0.7562, decode.d2.loss_cls: 0.2800, decode.d2.loss_mask: 0.4880, decode.d2.loss_dice: 0.7417, decode.d3.loss_cls: 0.2579, decode.d3.loss_mask: 0.4820, decode.d3.loss_dice: 0.7272, decode.d4.loss_cls: 0.2534, decode.d4.loss_mask: 0.4839, decode.d4.loss_dice: 0.7296, decode.d5.loss_cls: 0.2442, decode.d5.loss_mask: 0.4838, decode.d5.loss_dice: 0.7237, decode.d6.loss_cls: 0.2408, decode.d6.loss_mask: 0.4835, decode.d6.loss_dice: 0.7222, decode.d7.loss_cls: 0.2393, decode.d7.loss_mask: 0.4837, decode.d7.loss_dice: 0.7213, decode.d8.loss_cls: 0.2409, decode.d8.loss_mask: 0.4836, decode.d8.loss_dice: 0.7234, loss: 15.9567, grad_norm: 65.7663 2023-11-22 12:24:34,718 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 12:24:34,718 - mmseg - INFO - Iter [93000/160000] lr: 3.989e-06, eta: 10:54:57, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2551, decode.loss_mask: 0.4726, decode.loss_dice: 0.7246, decode.d0.loss_cls: 1.3693, decode.d0.loss_mask: 0.5079, decode.d0.loss_dice: 0.8209, decode.d1.loss_cls: 0.3434, decode.d1.loss_mask: 0.4926, decode.d1.loss_dice: 0.7692, decode.d2.loss_cls: 0.2932, decode.d2.loss_mask: 0.4796, decode.d2.loss_dice: 0.7475, decode.d3.loss_cls: 0.2709, decode.d3.loss_mask: 0.4760, decode.d3.loss_dice: 0.7298, decode.d4.loss_cls: 0.2640, decode.d4.loss_mask: 0.4749, decode.d4.loss_dice: 0.7295, decode.d5.loss_cls: 0.2619, decode.d5.loss_mask: 0.4730, decode.d5.loss_dice: 0.7278, decode.d6.loss_cls: 0.2591, decode.d6.loss_mask: 0.4726, decode.d6.loss_dice: 0.7292, decode.d7.loss_cls: 0.2565, decode.d7.loss_mask: 0.4738, decode.d7.loss_dice: 0.7269, decode.d8.loss_cls: 0.2560, decode.d8.loss_mask: 0.4741, decode.d8.loss_dice: 0.7281, loss: 16.0596, grad_norm: 73.1502 2023-11-22 12:25:03,151 - mmseg - INFO - Iter [93050/160000] lr: 3.986e-06, eta: 10:54:27, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2352, decode.loss_mask: 0.4860, decode.loss_dice: 0.7232, decode.d0.loss_cls: 1.3152, decode.d0.loss_mask: 0.5255, decode.d0.loss_dice: 0.8059, decode.d1.loss_cls: 0.3304, decode.d1.loss_mask: 0.5040, decode.d1.loss_dice: 0.7622, decode.d2.loss_cls: 0.2730, decode.d2.loss_mask: 0.4959, decode.d2.loss_dice: 0.7468, decode.d3.loss_cls: 0.2508, decode.d3.loss_mask: 0.4941, decode.d3.loss_dice: 0.7320, decode.d4.loss_cls: 0.2434, decode.d4.loss_mask: 0.4916, decode.d4.loss_dice: 0.7336, decode.d5.loss_cls: 0.2438, decode.d5.loss_mask: 0.4899, decode.d5.loss_dice: 0.7321, decode.d6.loss_cls: 0.2436, decode.d6.loss_mask: 0.4893, decode.d6.loss_dice: 0.7255, decode.d7.loss_cls: 0.2386, decode.d7.loss_mask: 0.4899, decode.d7.loss_dice: 0.7295, decode.d8.loss_cls: 0.2396, decode.d8.loss_mask: 0.4887, decode.d8.loss_dice: 0.7277, loss: 15.9868, grad_norm: 71.7581 2023-11-22 12:25:31,349 - mmseg - INFO - Iter [93100/160000] lr: 3.983e-06, eta: 10:53:57, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2439, decode.loss_mask: 0.4899, decode.loss_dice: 0.7261, decode.d0.loss_cls: 1.3455, decode.d0.loss_mask: 0.5235, decode.d0.loss_dice: 0.8030, decode.d1.loss_cls: 0.3269, decode.d1.loss_mask: 0.5059, decode.d1.loss_dice: 0.7678, decode.d2.loss_cls: 0.2817, decode.d2.loss_mask: 0.4977, decode.d2.loss_dice: 0.7434, decode.d3.loss_cls: 0.2602, decode.d3.loss_mask: 0.4968, decode.d3.loss_dice: 0.7325, decode.d4.loss_cls: 0.2524, decode.d4.loss_mask: 0.4961, decode.d4.loss_dice: 0.7331, decode.d5.loss_cls: 0.2498, decode.d5.loss_mask: 0.4941, decode.d5.loss_dice: 0.7333, decode.d6.loss_cls: 0.2549, decode.d6.loss_mask: 0.4916, decode.d6.loss_dice: 0.7257, decode.d7.loss_cls: 0.2449, decode.d7.loss_mask: 0.4925, decode.d7.loss_dice: 0.7250, decode.d8.loss_cls: 0.2463, decode.d8.loss_mask: 0.4885, decode.d8.loss_dice: 0.7265, loss: 16.0993, grad_norm: 71.2861 2023-11-22 12:25:59,555 - mmseg - INFO - Iter [93150/160000] lr: 3.980e-06, eta: 10:53:26, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2381, decode.loss_mask: 0.5011, decode.loss_dice: 0.7199, decode.d0.loss_cls: 1.3423, decode.d0.loss_mask: 0.5402, decode.d0.loss_dice: 0.8049, decode.d1.loss_cls: 0.3206, decode.d1.loss_mask: 0.5228, decode.d1.loss_dice: 0.7652, decode.d2.loss_cls: 0.2706, decode.d2.loss_mask: 0.5112, decode.d2.loss_dice: 0.7439, decode.d3.loss_cls: 0.2506, decode.d3.loss_mask: 0.5052, decode.d3.loss_dice: 0.7282, decode.d4.loss_cls: 0.2435, decode.d4.loss_mask: 0.5065, decode.d4.loss_dice: 0.7261, decode.d5.loss_cls: 0.2424, decode.d5.loss_mask: 0.5042, decode.d5.loss_dice: 0.7232, decode.d6.loss_cls: 0.2397, decode.d6.loss_mask: 0.5055, decode.d6.loss_dice: 0.7241, decode.d7.loss_cls: 0.2390, decode.d7.loss_mask: 0.5020, decode.d7.loss_dice: 0.7217, decode.d8.loss_cls: 0.2337, decode.d8.loss_mask: 0.5011, decode.d8.loss_dice: 0.7214, loss: 16.0987, grad_norm: 72.7044 2023-11-22 12:26:27,769 - mmseg - INFO - Iter [93200/160000] lr: 3.977e-06, eta: 10:52:56, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2416, decode.loss_mask: 0.4852, decode.loss_dice: 0.7300, decode.d0.loss_cls: 1.3630, decode.d0.loss_mask: 0.5180, decode.d0.loss_dice: 0.8207, decode.d1.loss_cls: 0.3371, decode.d1.loss_mask: 0.5063, decode.d1.loss_dice: 0.7707, decode.d2.loss_cls: 0.2853, decode.d2.loss_mask: 0.4924, decode.d2.loss_dice: 0.7487, decode.d3.loss_cls: 0.2641, decode.d3.loss_mask: 0.4884, decode.d3.loss_dice: 0.7343, decode.d4.loss_cls: 0.2558, decode.d4.loss_mask: 0.4884, decode.d4.loss_dice: 0.7359, decode.d5.loss_cls: 0.2518, decode.d5.loss_mask: 0.4873, decode.d5.loss_dice: 0.7353, decode.d6.loss_cls: 0.2491, decode.d6.loss_mask: 0.4863, decode.d6.loss_dice: 0.7337, decode.d7.loss_cls: 0.2418, decode.d7.loss_mask: 0.4870, decode.d7.loss_dice: 0.7330, decode.d8.loss_cls: 0.2463, decode.d8.loss_mask: 0.4856, decode.d8.loss_dice: 0.7339, loss: 16.1372, grad_norm: 67.4901 2023-11-22 12:26:55,958 - mmseg - INFO - Iter [93250/160000] lr: 3.974e-06, eta: 10:52:26, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2355, decode.loss_mask: 0.4841, decode.loss_dice: 0.7255, decode.d0.loss_cls: 1.3188, decode.d0.loss_mask: 0.5207, decode.d0.loss_dice: 0.8088, decode.d1.loss_cls: 0.3279, decode.d1.loss_mask: 0.5025, decode.d1.loss_dice: 0.7569, decode.d2.loss_cls: 0.2761, decode.d2.loss_mask: 0.4931, decode.d2.loss_dice: 0.7366, decode.d3.loss_cls: 0.2503, decode.d3.loss_mask: 0.4901, decode.d3.loss_dice: 0.7304, decode.d4.loss_cls: 0.2467, decode.d4.loss_mask: 0.4884, decode.d4.loss_dice: 0.7305, decode.d5.loss_cls: 0.2444, decode.d5.loss_mask: 0.4864, decode.d5.loss_dice: 0.7237, decode.d6.loss_cls: 0.2429, decode.d6.loss_mask: 0.4856, decode.d6.loss_dice: 0.7265, decode.d7.loss_cls: 0.2385, decode.d7.loss_mask: 0.4856, decode.d7.loss_dice: 0.7255, decode.d8.loss_cls: 0.2337, decode.d8.loss_mask: 0.4858, decode.d8.loss_dice: 0.7309, loss: 15.9325, grad_norm: 67.8227 2023-11-22 12:27:24,501 - mmseg - INFO - Iter [93300/160000] lr: 3.971e-06, eta: 10:51:56, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2425, decode.loss_mask: 0.4725, decode.loss_dice: 0.7241, decode.d0.loss_cls: 1.3352, decode.d0.loss_mask: 0.5048, decode.d0.loss_dice: 0.8079, decode.d1.loss_cls: 0.3206, decode.d1.loss_mask: 0.4840, decode.d1.loss_dice: 0.7513, decode.d2.loss_cls: 0.2761, decode.d2.loss_mask: 0.4754, decode.d2.loss_dice: 0.7363, decode.d3.loss_cls: 0.2586, decode.d3.loss_mask: 0.4715, decode.d3.loss_dice: 0.7271, decode.d4.loss_cls: 0.2494, decode.d4.loss_mask: 0.4720, decode.d4.loss_dice: 0.7260, decode.d5.loss_cls: 0.2503, decode.d5.loss_mask: 0.4737, decode.d5.loss_dice: 0.7272, decode.d6.loss_cls: 0.2480, decode.d6.loss_mask: 0.4721, decode.d6.loss_dice: 0.7215, decode.d7.loss_cls: 0.2439, decode.d7.loss_mask: 0.4722, decode.d7.loss_dice: 0.7202, decode.d8.loss_cls: 0.2415, decode.d8.loss_mask: 0.4743, decode.d8.loss_dice: 0.7268, loss: 15.8068, grad_norm: 65.7873 2023-11-22 12:27:53,028 - mmseg - INFO - Iter [93350/160000] lr: 3.968e-06, eta: 10:51:26, time: 0.573, data_time: 0.016, memory: 38143, decode.loss_cls: 0.2423, decode.loss_mask: 0.4855, decode.loss_dice: 0.7224, decode.d0.loss_cls: 1.3585, decode.d0.loss_mask: 0.5158, decode.d0.loss_dice: 0.8004, decode.d1.loss_cls: 0.3194, decode.d1.loss_mask: 0.5036, decode.d1.loss_dice: 0.7579, decode.d2.loss_cls: 0.2750, decode.d2.loss_mask: 0.4926, decode.d2.loss_dice: 0.7376, decode.d3.loss_cls: 0.2568, decode.d3.loss_mask: 0.4877, decode.d3.loss_dice: 0.7285, decode.d4.loss_cls: 0.2510, decode.d4.loss_mask: 0.4894, decode.d4.loss_dice: 0.7269, decode.d5.loss_cls: 0.2457, decode.d5.loss_mask: 0.4881, decode.d5.loss_dice: 0.7282, decode.d6.loss_cls: 0.2455, decode.d6.loss_mask: 0.4864, decode.d6.loss_dice: 0.7243, decode.d7.loss_cls: 0.2429, decode.d7.loss_mask: 0.4883, decode.d7.loss_dice: 0.7239, decode.d8.loss_cls: 0.2413, decode.d8.loss_mask: 0.4859, decode.d8.loss_dice: 0.7233, loss: 15.9749, grad_norm: 69.6587 2023-11-22 12:28:21,299 - mmseg - INFO - Iter [93400/160000] lr: 3.965e-06, eta: 10:50:56, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2446, decode.loss_mask: 0.4826, decode.loss_dice: 0.7087, decode.d0.loss_cls: 1.3378, decode.d0.loss_mask: 0.5134, decode.d0.loss_dice: 0.7978, decode.d1.loss_cls: 0.3381, decode.d1.loss_mask: 0.5055, decode.d1.loss_dice: 0.7505, decode.d2.loss_cls: 0.2862, decode.d2.loss_mask: 0.4897, decode.d2.loss_dice: 0.7262, decode.d3.loss_cls: 0.2751, decode.d3.loss_mask: 0.4843, decode.d3.loss_dice: 0.7189, decode.d4.loss_cls: 0.2627, decode.d4.loss_mask: 0.4842, decode.d4.loss_dice: 0.7141, decode.d5.loss_cls: 0.2572, decode.d5.loss_mask: 0.4842, decode.d5.loss_dice: 0.7148, decode.d6.loss_cls: 0.2535, decode.d6.loss_mask: 0.4836, decode.d6.loss_dice: 0.7117, decode.d7.loss_cls: 0.2495, decode.d7.loss_mask: 0.4824, decode.d7.loss_dice: 0.7151, decode.d8.loss_cls: 0.2498, decode.d8.loss_mask: 0.4827, decode.d8.loss_dice: 0.7141, loss: 15.9190, grad_norm: 70.2117 2023-11-22 12:28:49,773 - mmseg - INFO - Iter [93450/160000] lr: 3.962e-06, eta: 10:50:26, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2402, decode.loss_mask: 0.5060, decode.loss_dice: 0.7487, decode.d0.loss_cls: 1.3623, decode.d0.loss_mask: 0.5425, decode.d0.loss_dice: 0.8370, decode.d1.loss_cls: 0.3216, decode.d1.loss_mask: 0.5242, decode.d1.loss_dice: 0.7915, decode.d2.loss_cls: 0.2765, decode.d2.loss_mask: 0.5116, decode.d2.loss_dice: 0.7659, decode.d3.loss_cls: 0.2598, decode.d3.loss_mask: 0.5101, decode.d3.loss_dice: 0.7508, decode.d4.loss_cls: 0.2531, decode.d4.loss_mask: 0.5062, decode.d4.loss_dice: 0.7538, decode.d5.loss_cls: 0.2489, decode.d5.loss_mask: 0.5088, decode.d5.loss_dice: 0.7526, decode.d6.loss_cls: 0.2463, decode.d6.loss_mask: 0.5067, decode.d6.loss_dice: 0.7472, decode.d7.loss_cls: 0.2463, decode.d7.loss_mask: 0.5061, decode.d7.loss_dice: 0.7474, decode.d8.loss_cls: 0.2437, decode.d8.loss_mask: 0.5059, decode.d8.loss_dice: 0.7480, loss: 16.4697, grad_norm: 70.1920 2023-11-22 12:29:20,589 - mmseg - INFO - Iter [93500/160000] lr: 3.959e-06, eta: 10:49:58, time: 0.616, data_time: 0.060, memory: 38143, decode.loss_cls: 0.2300, decode.loss_mask: 0.4846, decode.loss_dice: 0.7111, decode.d0.loss_cls: 1.3468, decode.d0.loss_mask: 0.5214, decode.d0.loss_dice: 0.8017, decode.d1.loss_cls: 0.3110, decode.d1.loss_mask: 0.5034, decode.d1.loss_dice: 0.7467, decode.d2.loss_cls: 0.2654, decode.d2.loss_mask: 0.4922, decode.d2.loss_dice: 0.7312, decode.d3.loss_cls: 0.2467, decode.d3.loss_mask: 0.4872, decode.d3.loss_dice: 0.7132, decode.d4.loss_cls: 0.2422, decode.d4.loss_mask: 0.4878, decode.d4.loss_dice: 0.7173, decode.d5.loss_cls: 0.2410, decode.d5.loss_mask: 0.4850, decode.d5.loss_dice: 0.7142, decode.d6.loss_cls: 0.2359, decode.d6.loss_mask: 0.4860, decode.d6.loss_dice: 0.7063, decode.d7.loss_cls: 0.2376, decode.d7.loss_mask: 0.4852, decode.d7.loss_dice: 0.7120, decode.d8.loss_cls: 0.2322, decode.d8.loss_mask: 0.4853, decode.d8.loss_dice: 0.7122, loss: 15.7728, grad_norm: 68.4461 2023-11-22 12:29:48,930 - mmseg - INFO - Iter [93550/160000] lr: 3.956e-06, eta: 10:49:28, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2255, decode.loss_mask: 0.4646, decode.loss_dice: 0.7090, decode.d0.loss_cls: 1.3261, decode.d0.loss_mask: 0.4961, decode.d0.loss_dice: 0.7952, decode.d1.loss_cls: 0.3092, decode.d1.loss_mask: 0.4828, decode.d1.loss_dice: 0.7521, decode.d2.loss_cls: 0.2579, decode.d2.loss_mask: 0.4725, decode.d2.loss_dice: 0.7318, decode.d3.loss_cls: 0.2503, decode.d3.loss_mask: 0.4680, decode.d3.loss_dice: 0.7085, decode.d4.loss_cls: 0.2393, decode.d4.loss_mask: 0.4658, decode.d4.loss_dice: 0.7142, decode.d5.loss_cls: 0.2355, decode.d5.loss_mask: 0.4640, decode.d5.loss_dice: 0.7130, decode.d6.loss_cls: 0.2316, decode.d6.loss_mask: 0.4657, decode.d6.loss_dice: 0.7071, decode.d7.loss_cls: 0.2267, decode.d7.loss_mask: 0.4650, decode.d7.loss_dice: 0.7119, decode.d8.loss_cls: 0.2257, decode.d8.loss_mask: 0.4642, decode.d8.loss_dice: 0.7106, loss: 15.4896, grad_norm: 65.8295 2023-11-22 12:30:17,493 - mmseg - INFO - Iter [93600/160000] lr: 3.953e-06, eta: 10:48:58, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2554, decode.loss_mask: 0.4875, decode.loss_dice: 0.7334, decode.d0.loss_cls: 1.3355, decode.d0.loss_mask: 0.5239, decode.d0.loss_dice: 0.8286, decode.d1.loss_cls: 0.3405, decode.d1.loss_mask: 0.5038, decode.d1.loss_dice: 0.7831, decode.d2.loss_cls: 0.2942, decode.d2.loss_mask: 0.4926, decode.d2.loss_dice: 0.7574, decode.d3.loss_cls: 0.2783, decode.d3.loss_mask: 0.4880, decode.d3.loss_dice: 0.7434, decode.d4.loss_cls: 0.2765, decode.d4.loss_mask: 0.4879, decode.d4.loss_dice: 0.7438, decode.d5.loss_cls: 0.2659, decode.d5.loss_mask: 0.4877, decode.d5.loss_dice: 0.7392, decode.d6.loss_cls: 0.2618, decode.d6.loss_mask: 0.4860, decode.d6.loss_dice: 0.7363, decode.d7.loss_cls: 0.2634, decode.d7.loss_mask: 0.4866, decode.d7.loss_dice: 0.7362, decode.d8.loss_cls: 0.2593, decode.d8.loss_mask: 0.4848, decode.d8.loss_dice: 0.7331, loss: 16.2942, grad_norm: 70.1341 2023-11-22 12:30:45,717 - mmseg - INFO - Iter [93650/160000] lr: 3.950e-06, eta: 10:48:28, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2292, decode.loss_mask: 0.4894, decode.loss_dice: 0.7155, decode.d0.loss_cls: 1.2996, decode.d0.loss_mask: 0.5289, decode.d0.loss_dice: 0.7947, decode.d1.loss_cls: 0.3234, decode.d1.loss_mask: 0.5110, decode.d1.loss_dice: 0.7528, decode.d2.loss_cls: 0.2686, decode.d2.loss_mask: 0.4988, decode.d2.loss_dice: 0.7326, decode.d3.loss_cls: 0.2471, decode.d3.loss_mask: 0.4958, decode.d3.loss_dice: 0.7184, decode.d4.loss_cls: 0.2410, decode.d4.loss_mask: 0.4932, decode.d4.loss_dice: 0.7180, decode.d5.loss_cls: 0.2380, decode.d5.loss_mask: 0.4894, decode.d5.loss_dice: 0.7195, decode.d6.loss_cls: 0.2380, decode.d6.loss_mask: 0.4906, decode.d6.loss_dice: 0.7139, decode.d7.loss_cls: 0.2398, decode.d7.loss_mask: 0.4904, decode.d7.loss_dice: 0.7181, decode.d8.loss_cls: 0.2300, decode.d8.loss_mask: 0.4914, decode.d8.loss_dice: 0.7164, loss: 15.8334, grad_norm: 77.0442 2023-11-22 12:31:14,202 - mmseg - INFO - Iter [93700/160000] lr: 3.947e-06, eta: 10:47:58, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2175, decode.loss_mask: 0.4964, decode.loss_dice: 0.7205, decode.d0.loss_cls: 1.3121, decode.d0.loss_mask: 0.5375, decode.d0.loss_dice: 0.8057, decode.d1.loss_cls: 0.2994, decode.d1.loss_mask: 0.5132, decode.d1.loss_dice: 0.7598, decode.d2.loss_cls: 0.2476, decode.d2.loss_mask: 0.5039, decode.d2.loss_dice: 0.7470, decode.d3.loss_cls: 0.2289, decode.d3.loss_mask: 0.5024, decode.d3.loss_dice: 0.7317, decode.d4.loss_cls: 0.2224, decode.d4.loss_mask: 0.5005, decode.d4.loss_dice: 0.7329, decode.d5.loss_cls: 0.2164, decode.d5.loss_mask: 0.5013, decode.d5.loss_dice: 0.7320, decode.d6.loss_cls: 0.2167, decode.d6.loss_mask: 0.4979, decode.d6.loss_dice: 0.7284, decode.d7.loss_cls: 0.2152, decode.d7.loss_mask: 0.4976, decode.d7.loss_dice: 0.7257, decode.d8.loss_cls: 0.2177, decode.d8.loss_mask: 0.4970, decode.d8.loss_dice: 0.7235, loss: 15.8491, grad_norm: 68.8313 2023-11-22 12:31:42,905 - mmseg - INFO - Iter [93750/160000] lr: 3.944e-06, eta: 10:47:29, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2324, decode.loss_mask: 0.4900, decode.loss_dice: 0.7319, decode.d0.loss_cls: 1.3526, decode.d0.loss_mask: 0.5227, decode.d0.loss_dice: 0.8134, decode.d1.loss_cls: 0.3170, decode.d1.loss_mask: 0.5062, decode.d1.loss_dice: 0.7647, decode.d2.loss_cls: 0.2685, decode.d2.loss_mask: 0.4959, decode.d2.loss_dice: 0.7476, decode.d3.loss_cls: 0.2495, decode.d3.loss_mask: 0.4945, decode.d3.loss_dice: 0.7389, decode.d4.loss_cls: 0.2388, decode.d4.loss_mask: 0.4911, decode.d4.loss_dice: 0.7363, decode.d5.loss_cls: 0.2373, decode.d5.loss_mask: 0.4899, decode.d5.loss_dice: 0.7360, decode.d6.loss_cls: 0.2321, decode.d6.loss_mask: 0.4887, decode.d6.loss_dice: 0.7378, decode.d7.loss_cls: 0.2285, decode.d7.loss_mask: 0.4887, decode.d7.loss_dice: 0.7309, decode.d8.loss_cls: 0.2310, decode.d8.loss_mask: 0.4880, decode.d8.loss_dice: 0.7335, loss: 16.0146, grad_norm: 69.9216 2023-11-22 12:32:11,239 - mmseg - INFO - Iter [93800/160000] lr: 3.941e-06, eta: 10:46:59, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2357, decode.loss_mask: 0.4721, decode.loss_dice: 0.7317, decode.d0.loss_cls: 1.3566, decode.d0.loss_mask: 0.5012, decode.d0.loss_dice: 0.8104, decode.d1.loss_cls: 0.3343, decode.d1.loss_mask: 0.4917, decode.d1.loss_dice: 0.7681, decode.d2.loss_cls: 0.2775, decode.d2.loss_mask: 0.4809, decode.d2.loss_dice: 0.7461, decode.d3.loss_cls: 0.2522, decode.d3.loss_mask: 0.4757, decode.d3.loss_dice: 0.7383, decode.d4.loss_cls: 0.2527, decode.d4.loss_mask: 0.4742, decode.d4.loss_dice: 0.7370, decode.d5.loss_cls: 0.2470, decode.d5.loss_mask: 0.4728, decode.d5.loss_dice: 0.7366, decode.d6.loss_cls: 0.2416, decode.d6.loss_mask: 0.4722, decode.d6.loss_dice: 0.7333, decode.d7.loss_cls: 0.2380, decode.d7.loss_mask: 0.4729, decode.d7.loss_dice: 0.7318, decode.d8.loss_cls: 0.2343, decode.d8.loss_mask: 0.4725, decode.d8.loss_dice: 0.7343, loss: 15.9240, grad_norm: 67.1188 2023-11-22 12:32:39,941 - mmseg - INFO - Iter [93850/160000] lr: 3.938e-06, eta: 10:46:29, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2388, decode.loss_mask: 0.4997, decode.loss_dice: 0.7206, decode.d0.loss_cls: 1.3775, decode.d0.loss_mask: 0.5364, decode.d0.loss_dice: 0.8083, decode.d1.loss_cls: 0.3366, decode.d1.loss_mask: 0.5184, decode.d1.loss_dice: 0.7646, decode.d2.loss_cls: 0.2803, decode.d2.loss_mask: 0.5074, decode.d2.loss_dice: 0.7417, decode.d3.loss_cls: 0.2630, decode.d3.loss_mask: 0.5027, decode.d3.loss_dice: 0.7263, decode.d4.loss_cls: 0.2529, decode.d4.loss_mask: 0.5031, decode.d4.loss_dice: 0.7258, decode.d5.loss_cls: 0.2448, decode.d5.loss_mask: 0.5019, decode.d5.loss_dice: 0.7255, decode.d6.loss_cls: 0.2431, decode.d6.loss_mask: 0.4987, decode.d6.loss_dice: 0.7230, decode.d7.loss_cls: 0.2391, decode.d7.loss_mask: 0.4966, decode.d7.loss_dice: 0.7204, decode.d8.loss_cls: 0.2386, decode.d8.loss_mask: 0.4991, decode.d8.loss_dice: 0.7198, loss: 16.1545, grad_norm: 73.4522 2023-11-22 12:33:08,428 - mmseg - INFO - Iter [93900/160000] lr: 3.935e-06, eta: 10:45:59, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2228, decode.loss_mask: 0.4709, decode.loss_dice: 0.7031, decode.d0.loss_cls: 1.3645, decode.d0.loss_mask: 0.5000, decode.d0.loss_dice: 0.7835, decode.d1.loss_cls: 0.3045, decode.d1.loss_mask: 0.4895, decode.d1.loss_dice: 0.7483, decode.d2.loss_cls: 0.2536, decode.d2.loss_mask: 0.4819, decode.d2.loss_dice: 0.7276, decode.d3.loss_cls: 0.2404, decode.d3.loss_mask: 0.4784, decode.d3.loss_dice: 0.7077, decode.d4.loss_cls: 0.2319, decode.d4.loss_mask: 0.4750, decode.d4.loss_dice: 0.7113, decode.d5.loss_cls: 0.2332, decode.d5.loss_mask: 0.4722, decode.d5.loss_dice: 0.7047, decode.d6.loss_cls: 0.2245, decode.d6.loss_mask: 0.4736, decode.d6.loss_dice: 0.7065, decode.d7.loss_cls: 0.2210, decode.d7.loss_mask: 0.4727, decode.d7.loss_dice: 0.7072, decode.d8.loss_cls: 0.2172, decode.d8.loss_mask: 0.4725, decode.d8.loss_dice: 0.7078, loss: 15.5082, grad_norm: 66.9686 2023-11-22 12:33:36,933 - mmseg - INFO - Iter [93950/160000] lr: 3.932e-06, eta: 10:45:29, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2294, decode.loss_mask: 0.4611, decode.loss_dice: 0.7174, decode.d0.loss_cls: 1.3632, decode.d0.loss_mask: 0.4957, decode.d0.loss_dice: 0.8148, decode.d1.loss_cls: 0.3191, decode.d1.loss_mask: 0.4753, decode.d1.loss_dice: 0.7597, decode.d2.loss_cls: 0.2661, decode.d2.loss_mask: 0.4701, decode.d2.loss_dice: 0.7396, decode.d3.loss_cls: 0.2475, decode.d3.loss_mask: 0.4649, decode.d3.loss_dice: 0.7288, decode.d4.loss_cls: 0.2400, decode.d4.loss_mask: 0.4621, decode.d4.loss_dice: 0.7237, decode.d5.loss_cls: 0.2365, decode.d5.loss_mask: 0.4638, decode.d5.loss_dice: 0.7225, decode.d6.loss_cls: 0.2340, decode.d6.loss_mask: 0.4619, decode.d6.loss_dice: 0.7178, decode.d7.loss_cls: 0.2325, decode.d7.loss_mask: 0.4608, decode.d7.loss_dice: 0.7191, decode.d8.loss_cls: 0.2285, decode.d8.loss_mask: 0.4604, decode.d8.loss_dice: 0.7207, loss: 15.6369, grad_norm: 66.8669 2023-11-22 12:34:05,211 - mmseg - INFO - Saving checkpoint at 94000 iterations 2023-11-22 12:34:13,091 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 12:34:13,091 - mmseg - INFO - Iter [94000/160000] lr: 3.929e-06, eta: 10:45:04, time: 0.723, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2308, decode.loss_mask: 0.4976, decode.loss_dice: 0.7449, decode.d0.loss_cls: 1.3299, decode.d0.loss_mask: 0.5358, decode.d0.loss_dice: 0.8206, decode.d1.loss_cls: 0.3100, decode.d1.loss_mask: 0.5175, decode.d1.loss_dice: 0.7835, decode.d2.loss_cls: 0.2603, decode.d2.loss_mask: 0.5075, decode.d2.loss_dice: 0.7671, decode.d3.loss_cls: 0.2497, decode.d3.loss_mask: 0.5002, decode.d3.loss_dice: 0.7525, decode.d4.loss_cls: 0.2398, decode.d4.loss_mask: 0.5009, decode.d4.loss_dice: 0.7483, decode.d5.loss_cls: 0.2425, decode.d5.loss_mask: 0.4994, decode.d5.loss_dice: 0.7429, decode.d6.loss_cls: 0.2356, decode.d6.loss_mask: 0.4987, decode.d6.loss_dice: 0.7445, decode.d7.loss_cls: 0.2300, decode.d7.loss_mask: 0.4985, decode.d7.loss_dice: 0.7444, decode.d8.loss_cls: 0.2308, decode.d8.loss_mask: 0.4971, decode.d8.loss_dice: 0.7478, loss: 16.2091, grad_norm: 70.3219 2023-11-22 12:34:32,713 - mmseg - INFO - per class results: 2023-11-22 12:34:32,718 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.94 | 87.92 | | building | 83.26 | 91.2 | | sky | 95.06 | 97.72 | | floor | 84.85 | 91.09 | | tree | 76.18 | 87.18 | | ceiling | 85.87 | 92.55 | | road | 86.6 | 92.86 | | bed | 92.08 | 96.19 | | windowpane | 65.56 | 82.88 | | grass | 70.39 | 85.56 | | cabinet | 63.36 | 76.2 | | sidewalk | 65.76 | 76.83 | | person | 86.43 | 93.75 | | earth | 41.42 | 59.6 | | door | 54.6 | 72.69 | | table | 69.27 | 84.6 | | mountain | 59.49 | 77.42 | | plant | 53.21 | 66.59 | | curtain | 76.78 | 86.83 | | chair | 65.86 | 77.09 | | car | 87.34 | 93.68 | | water | 36.24 | 40.67 | | painting | 76.92 | 89.83 | | sofa | 74.0 | 89.15 | | shelf | 45.44 | 61.9 | | house | 42.73 | 67.45 | | sea | 62.49 | 90.27 | | mirror | 73.64 | 84.4 | | rug | 67.71 | 81.42 | | field | 34.78 | 54.51 | | armchair | 47.03 | 66.43 | | seat | 64.8 | 85.14 | | fence | 48.48 | 59.16 | | desk | 49.06 | 71.1 | | rock | 54.9 | 72.26 | | wardrobe | 46.88 | 73.42 | | lamp | 73.85 | 84.02 | | bathtub | 79.54 | 86.24 | | railing | 36.83 | 57.01 | | cushion | 68.14 | 76.05 | | base | 33.04 | 48.94 | | box | 32.53 | 45.07 | | column | 53.0 | 67.72 | | signboard | 43.22 | 61.29 | | chest of drawers | 42.08 | 64.55 | | counter | 45.63 | 58.97 | | sand | 51.61 | 61.01 | | sink | 80.29 | 86.62 | | skyscraper | 63.22 | 83.6 | | fireplace | 71.47 | 90.94 | | refrigerator | 79.65 | 84.16 | | grandstand | 47.42 | 77.91 | | path | 20.92 | 30.85 | | stairs | 52.06 | 63.83 | | runway | 68.86 | 87.44 | | case | 61.28 | 84.17 | | pool table | 95.2 | 97.58 | | pillow | 65.56 | 79.31 | | screen door | 59.29 | 65.17 | | stairway | 36.93 | 47.15 | | river | 10.93 | 46.57 | | bridge | 81.72 | 89.69 | | bookcase | 30.71 | 46.37 | | blind | 45.08 | 53.12 | | coffee table | 70.88 | 87.64 | | toilet | 91.49 | 93.76 | | flower | 49.76 | 70.64 | | book | 53.02 | 81.74 | | hill | 9.7 | 13.87 | | bench | 66.65 | 78.94 | | countertop | 63.84 | 79.45 | | stove | 85.59 | 89.16 | | palm | 55.63 | 81.53 | | kitchen island | 64.3 | 86.24 | | computer | 73.95 | 83.04 | | swivel chair | 46.86 | 60.5 | | boat | 36.92 | 56.77 | | bar | 56.85 | 62.5 | | arcade machine | 52.66 | 56.18 | | hovel | 39.93 | 49.46 | | bus | 84.88 | 96.45 | | towel | 76.92 | 88.69 | | light | 66.61 | 78.96 | | truck | 20.23 | 26.45 | | tower | 45.7 | 78.21 | | chandelier | 70.8 | 84.27 | | awning | 36.75 | 53.28 | | streetlight | 46.19 | 67.27 | | booth | 62.65 | 64.18 | | television receiver | 76.08 | 88.02 | | airplane | 70.23 | 74.21 | | dirt track | 29.82 | 47.51 | | apparel | 56.76 | 73.44 | | pole | 34.9 | 53.34 | | land | 4.93 | 6.09 | | bannister | 16.6 | 24.96 | | escalator | 24.35 | 27.02 | | ottoman | 50.04 | 66.72 | | bottle | 40.61 | 67.44 | | buffet | 47.32 | 58.04 | | poster | 33.76 | 50.76 | | stage | 25.89 | 45.49 | | van | 42.35 | 66.22 | | ship | 10.24 | 15.36 | | fountain | 21.61 | 21.91 | | conveyer belt | 68.98 | 90.61 | | canopy | 29.68 | 51.86 | | washer | 72.42 | 73.11 | | plaything | 41.74 | 58.47 | | swimming pool | 67.46 | 70.82 | | stool | 57.21 | 74.17 | | barrel | 35.34 | 98.16 | | basket | 46.09 | 62.35 | | waterfall | 67.34 | 95.81 | | tent | 88.06 | 98.2 | | bag | 26.94 | 41.77 | | minibike | 73.01 | 90.26 | | cradle | 90.22 | 97.69 | | oven | 23.9 | 68.22 | | ball | 55.4 | 63.98 | | food | 57.41 | 62.55 | | step | 19.85 | 34.01 | | tank | 63.58 | 65.66 | | trade name | 31.64 | 38.82 | | microwave | 42.11 | 46.55 | | pot | 53.49 | 65.52 | | animal | 59.45 | 60.55 | | bicycle | 60.1 | 80.14 | | lake | 42.1 | 63.66 | | dishwasher | 82.5 | 88.96 | | screen | 62.23 | 90.89 | | blanket | 32.44 | 50.68 | | sculpture | 74.62 | 88.97 | | hood | 74.21 | 77.49 | | sconce | 64.25 | 77.71 | | vase | 57.96 | 75.84 | | traffic light | 46.15 | 73.45 | | tray | 20.97 | 34.27 | | ashcan | 52.1 | 70.43 | | fan | 72.52 | 84.8 | | pier | 13.86 | 14.77 | | crt screen | 3.34 | 10.33 | | plate | 63.78 | 84.49 | | monitor | 1.42 | 1.75 | | bulletin board | 64.25 | 78.87 | | shower | 1.84 | 25.19 | | radiator | 67.58 | 84.35 | | glass | 23.99 | 26.57 | | clock | 57.46 | 70.92 | | flag | 72.1 | 84.33 | +---------------------+-------+-------+ 2023-11-22 12:34:32,718 - mmseg - INFO - Summary: 2023-11-22 12:34:32,719 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.78 | 54.65 | 68.58 | +-------+-------+-------+ 2023-11-22 12:34:32,720 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 12:34:32,720 - mmseg - INFO - Iter(val) [250] aAcc: 0.8478, mIoU: 0.5465, mAcc: 0.6858, IoU.wall: 0.8094, IoU.building: 0.8326, IoU.sky: 0.9506, IoU.floor: 0.8485, IoU.tree: 0.7618, IoU.ceiling: 0.8587, IoU.road: 0.8660, IoU.bed : 0.9208, IoU.windowpane: 0.6556, IoU.grass: 0.7039, IoU.cabinet: 0.6336, IoU.sidewalk: 0.6576, IoU.person: 0.8643, IoU.earth: 0.4142, IoU.door: 0.5460, IoU.table: 0.6927, IoU.mountain: 0.5949, IoU.plant: 0.5321, IoU.curtain: 0.7678, IoU.chair: 0.6586, IoU.car: 0.8734, IoU.water: 0.3624, IoU.painting: 0.7692, IoU.sofa: 0.7400, IoU.shelf: 0.4544, IoU.house: 0.4273, IoU.sea: 0.6249, IoU.mirror: 0.7364, IoU.rug: 0.6771, IoU.field: 0.3478, IoU.armchair: 0.4703, IoU.seat: 0.6480, IoU.fence: 0.4848, IoU.desk: 0.4906, IoU.rock: 0.5490, IoU.wardrobe: 0.4688, IoU.lamp: 0.7385, IoU.bathtub: 0.7954, IoU.railing: 0.3683, IoU.cushion: 0.6814, IoU.base: 0.3304, IoU.box: 0.3253, IoU.column: 0.5300, IoU.signboard: 0.4322, IoU.chest of drawers: 0.4208, IoU.counter: 0.4563, IoU.sand: 0.5161, IoU.sink: 0.8029, IoU.skyscraper: 0.6322, IoU.fireplace: 0.7147, IoU.refrigerator: 0.7965, IoU.grandstand: 0.4742, IoU.path: 0.2092, IoU.stairs: 0.5206, IoU.runway: 0.6886, IoU.case: 0.6128, IoU.pool table: 0.9520, IoU.pillow: 0.6556, IoU.screen door: 0.5929, IoU.stairway: 0.3693, IoU.river: 0.1093, IoU.bridge: 0.8172, IoU.bookcase: 0.3071, IoU.blind: 0.4508, IoU.coffee table: 0.7088, IoU.toilet: 0.9149, IoU.flower: 0.4976, IoU.book: 0.5302, IoU.hill: 0.0970, IoU.bench: 0.6665, IoU.countertop: 0.6384, IoU.stove: 0.8559, IoU.palm: 0.5563, IoU.kitchen island: 0.6430, IoU.computer: 0.7395, IoU.swivel chair: 0.4686, IoU.boat: 0.3692, IoU.bar: 0.5685, IoU.arcade machine: 0.5266, IoU.hovel: 0.3993, IoU.bus: 0.8488, IoU.towel: 0.7692, IoU.light: 0.6661, IoU.truck: 0.2023, IoU.tower: 0.4570, IoU.chandelier: 0.7080, IoU.awning: 0.3675, IoU.streetlight: 0.4619, IoU.booth: 0.6265, IoU.television receiver: 0.7608, IoU.airplane: 0.7023, IoU.dirt track: 0.2982, IoU.apparel: 0.5676, IoU.pole: 0.3490, IoU.land: 0.0493, IoU.bannister: 0.1660, IoU.escalator: 0.2435, IoU.ottoman: 0.5004, IoU.bottle: 0.4061, IoU.buffet: 0.4732, IoU.poster: 0.3376, IoU.stage: 0.2589, IoU.van: 0.4235, IoU.ship: 0.1024, IoU.fountain: 0.2161, IoU.conveyer belt: 0.6898, IoU.canopy: 0.2968, IoU.washer: 0.7242, IoU.plaything: 0.4174, IoU.swimming pool: 0.6746, IoU.stool: 0.5721, IoU.barrel: 0.3534, IoU.basket: 0.4609, IoU.waterfall: 0.6734, IoU.tent: 0.8806, IoU.bag: 0.2694, IoU.minibike: 0.7301, IoU.cradle: 0.9022, IoU.oven: 0.2390, IoU.ball: 0.5540, IoU.food: 0.5741, IoU.step: 0.1985, IoU.tank: 0.6358, IoU.trade name: 0.3164, IoU.microwave: 0.4211, IoU.pot: 0.5349, IoU.animal: 0.5945, IoU.bicycle: 0.6010, IoU.lake: 0.4210, IoU.dishwasher: 0.8250, IoU.screen: 0.6223, IoU.blanket: 0.3244, IoU.sculpture: 0.7462, IoU.hood: 0.7421, IoU.sconce: 0.6425, IoU.vase: 0.5796, IoU.traffic light: 0.4615, IoU.tray: 0.2097, IoU.ashcan: 0.5210, IoU.fan: 0.7252, IoU.pier: 0.1386, IoU.crt screen: 0.0334, IoU.plate: 0.6378, IoU.monitor: 0.0142, IoU.bulletin board: 0.6425, IoU.shower: 0.0184, IoU.radiator: 0.6758, IoU.glass: 0.2399, IoU.clock: 0.5746, IoU.flag: 0.7210, Acc.wall: 0.8792, Acc.building: 0.9120, Acc.sky: 0.9772, Acc.floor: 0.9109, Acc.tree: 0.8718, Acc.ceiling: 0.9255, Acc.road: 0.9286, Acc.bed : 0.9619, Acc.windowpane: 0.8288, Acc.grass: 0.8556, Acc.cabinet: 0.7620, Acc.sidewalk: 0.7683, Acc.person: 0.9375, Acc.earth: 0.5960, Acc.door: 0.7269, Acc.table: 0.8460, Acc.mountain: 0.7742, Acc.plant: 0.6659, Acc.curtain: 0.8683, Acc.chair: 0.7709, Acc.car: 0.9368, Acc.water: 0.4067, Acc.painting: 0.8983, Acc.sofa: 0.8915, Acc.shelf: 0.6190, Acc.house: 0.6745, Acc.sea: 0.9027, Acc.mirror: 0.8440, Acc.rug: 0.8142, Acc.field: 0.5451, Acc.armchair: 0.6643, Acc.seat: 0.8514, Acc.fence: 0.5916, Acc.desk: 0.7110, Acc.rock: 0.7226, Acc.wardrobe: 0.7342, Acc.lamp: 0.8402, Acc.bathtub: 0.8624, Acc.railing: 0.5701, Acc.cushion: 0.7605, Acc.base: 0.4894, Acc.box: 0.4507, Acc.column: 0.6772, Acc.signboard: 0.6129, Acc.chest of drawers: 0.6455, Acc.counter: 0.5897, Acc.sand: 0.6101, Acc.sink: 0.8662, Acc.skyscraper: 0.8360, Acc.fireplace: 0.9094, Acc.refrigerator: 0.8416, Acc.grandstand: 0.7791, Acc.path: 0.3085, Acc.stairs: 0.6383, Acc.runway: 0.8744, Acc.case: 0.8417, Acc.pool table: 0.9758, Acc.pillow: 0.7931, Acc.screen door: 0.6517, Acc.stairway: 0.4715, Acc.river: 0.4657, Acc.bridge: 0.8969, Acc.bookcase: 0.4637, Acc.blind: 0.5312, Acc.coffee table: 0.8764, Acc.toilet: 0.9376, Acc.flower: 0.7064, Acc.book: 0.8174, Acc.hill: 0.1387, Acc.bench: 0.7894, Acc.countertop: 0.7945, Acc.stove: 0.8916, Acc.palm: 0.8153, Acc.kitchen island: 0.8624, Acc.computer: 0.8304, Acc.swivel chair: 0.6050, Acc.boat: 0.5677, Acc.bar: 0.6250, Acc.arcade machine: 0.5618, Acc.hovel: 0.4946, Acc.bus: 0.9645, Acc.towel: 0.8869, Acc.light: 0.7896, Acc.truck: 0.2645, Acc.tower: 0.7821, Acc.chandelier: 0.8427, Acc.awning: 0.5328, Acc.streetlight: 0.6727, Acc.booth: 0.6418, Acc.television receiver: 0.8802, Acc.airplane: 0.7421, Acc.dirt track: 0.4751, Acc.apparel: 0.7344, Acc.pole: 0.5334, Acc.land: 0.0609, Acc.bannister: 0.2496, Acc.escalator: 0.2702, Acc.ottoman: 0.6672, Acc.bottle: 0.6744, Acc.buffet: 0.5804, Acc.poster: 0.5076, Acc.stage: 0.4549, Acc.van: 0.6622, Acc.ship: 0.1536, Acc.fountain: 0.2191, Acc.conveyer belt: 0.9061, Acc.canopy: 0.5186, Acc.washer: 0.7311, Acc.plaything: 0.5847, Acc.swimming pool: 0.7082, Acc.stool: 0.7417, Acc.barrel: 0.9816, Acc.basket: 0.6235, Acc.waterfall: 0.9581, Acc.tent: 0.9820, Acc.bag: 0.4177, Acc.minibike: 0.9026, Acc.cradle: 0.9769, Acc.oven: 0.6822, Acc.ball: 0.6398, Acc.food: 0.6255, Acc.step: 0.3401, Acc.tank: 0.6566, Acc.trade name: 0.3882, Acc.microwave: 0.4655, Acc.pot: 0.6552, Acc.animal: 0.6055, Acc.bicycle: 0.8014, Acc.lake: 0.6366, Acc.dishwasher: 0.8896, Acc.screen: 0.9089, Acc.blanket: 0.5068, Acc.sculpture: 0.8897, Acc.hood: 0.7749, Acc.sconce: 0.7771, Acc.vase: 0.7584, Acc.traffic light: 0.7345, Acc.tray: 0.3427, Acc.ashcan: 0.7043, Acc.fan: 0.8480, Acc.pier: 0.1477, Acc.crt screen: 0.1033, Acc.plate: 0.8449, Acc.monitor: 0.0175, Acc.bulletin board: 0.7887, Acc.shower: 0.2519, Acc.radiator: 0.8435, Acc.glass: 0.2657, Acc.clock: 0.7092, Acc.flag: 0.8433 2023-11-22 12:35:01,478 - mmseg - INFO - Iter [94050/160000] lr: 3.926e-06, eta: 10:44:49, time: 0.968, data_time: 0.405, memory: 38143, decode.loss_cls: 0.2433, decode.loss_mask: 0.4699, decode.loss_dice: 0.7215, decode.d0.loss_cls: 1.3576, decode.d0.loss_mask: 0.5079, decode.d0.loss_dice: 0.8098, decode.d1.loss_cls: 0.3332, decode.d1.loss_mask: 0.4895, decode.d1.loss_dice: 0.7665, decode.d2.loss_cls: 0.2749, decode.d2.loss_mask: 0.4824, decode.d2.loss_dice: 0.7431, decode.d3.loss_cls: 0.2591, decode.d3.loss_mask: 0.4743, decode.d3.loss_dice: 0.7321, decode.d4.loss_cls: 0.2551, decode.d4.loss_mask: 0.4728, decode.d4.loss_dice: 0.7329, decode.d5.loss_cls: 0.2486, decode.d5.loss_mask: 0.4729, decode.d5.loss_dice: 0.7288, decode.d6.loss_cls: 0.2460, decode.d6.loss_mask: 0.4694, decode.d6.loss_dice: 0.7213, decode.d7.loss_cls: 0.2389, decode.d7.loss_mask: 0.4704, decode.d7.loss_dice: 0.7261, decode.d8.loss_cls: 0.2413, decode.d8.loss_mask: 0.4696, decode.d8.loss_dice: 0.7266, loss: 15.8858, grad_norm: 69.9107 2023-11-22 12:35:29,929 - mmseg - INFO - Iter [94100/160000] lr: 3.923e-06, eta: 10:44:19, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2633, decode.loss_mask: 0.4998, decode.loss_dice: 0.7617, decode.d0.loss_cls: 1.3949, decode.d0.loss_mask: 0.5389, decode.d0.loss_dice: 0.8513, decode.d1.loss_cls: 0.3551, decode.d1.loss_mask: 0.5177, decode.d1.loss_dice: 0.8031, decode.d2.loss_cls: 0.2997, decode.d2.loss_mask: 0.5129, decode.d2.loss_dice: 0.7832, decode.d3.loss_cls: 0.2867, decode.d3.loss_mask: 0.5025, decode.d3.loss_dice: 0.7702, decode.d4.loss_cls: 0.2738, decode.d4.loss_mask: 0.5052, decode.d4.loss_dice: 0.7704, decode.d5.loss_cls: 0.2671, decode.d5.loss_mask: 0.5045, decode.d5.loss_dice: 0.7661, decode.d6.loss_cls: 0.2654, decode.d6.loss_mask: 0.5012, decode.d6.loss_dice: 0.7641, decode.d7.loss_cls: 0.2624, decode.d7.loss_mask: 0.5019, decode.d7.loss_dice: 0.7606, decode.d8.loss_cls: 0.2620, decode.d8.loss_mask: 0.5018, decode.d8.loss_dice: 0.7644, loss: 16.8121, grad_norm: 73.7168 2023-11-22 12:35:58,386 - mmseg - INFO - Iter [94150/160000] lr: 3.920e-06, eta: 10:43:49, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2420, decode.loss_mask: 0.4925, decode.loss_dice: 0.7372, decode.d0.loss_cls: 1.3703, decode.d0.loss_mask: 0.5226, decode.d0.loss_dice: 0.8319, decode.d1.loss_cls: 0.3235, decode.d1.loss_mask: 0.5097, decode.d1.loss_dice: 0.7810, decode.d2.loss_cls: 0.2741, decode.d2.loss_mask: 0.5006, decode.d2.loss_dice: 0.7623, decode.d3.loss_cls: 0.2576, decode.d3.loss_mask: 0.4935, decode.d3.loss_dice: 0.7427, decode.d4.loss_cls: 0.2437, decode.d4.loss_mask: 0.4949, decode.d4.loss_dice: 0.7439, decode.d5.loss_cls: 0.2396, decode.d5.loss_mask: 0.4937, decode.d5.loss_dice: 0.7433, decode.d6.loss_cls: 0.2361, decode.d6.loss_mask: 0.4912, decode.d6.loss_dice: 0.7387, decode.d7.loss_cls: 0.2403, decode.d7.loss_mask: 0.4911, decode.d7.loss_dice: 0.7389, decode.d8.loss_cls: 0.2396, decode.d8.loss_mask: 0.4934, decode.d8.loss_dice: 0.7324, loss: 16.2022, grad_norm: 73.1379 2023-11-22 12:36:26,870 - mmseg - INFO - Iter [94200/160000] lr: 3.917e-06, eta: 10:43:19, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2209, decode.loss_mask: 0.4821, decode.loss_dice: 0.7103, decode.d0.loss_cls: 1.3140, decode.d0.loss_mask: 0.5180, decode.d0.loss_dice: 0.7916, decode.d1.loss_cls: 0.3119, decode.d1.loss_mask: 0.4970, decode.d1.loss_dice: 0.7438, decode.d2.loss_cls: 0.2561, decode.d2.loss_mask: 0.4906, decode.d2.loss_dice: 0.7270, decode.d3.loss_cls: 0.2410, decode.d3.loss_mask: 0.4834, decode.d3.loss_dice: 0.7110, decode.d4.loss_cls: 0.2378, decode.d4.loss_mask: 0.4794, decode.d4.loss_dice: 0.7115, decode.d5.loss_cls: 0.2319, decode.d5.loss_mask: 0.4791, decode.d5.loss_dice: 0.7135, decode.d6.loss_cls: 0.2289, decode.d6.loss_mask: 0.4804, decode.d6.loss_dice: 0.7075, decode.d7.loss_cls: 0.2206, decode.d7.loss_mask: 0.4799, decode.d7.loss_dice: 0.7062, decode.d8.loss_cls: 0.2220, decode.d8.loss_mask: 0.4801, decode.d8.loss_dice: 0.7063, loss: 15.5837, grad_norm: 70.2944 2023-11-22 12:36:55,292 - mmseg - INFO - Iter [94250/160000] lr: 3.914e-06, eta: 10:42:49, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2361, decode.loss_mask: 0.4991, decode.loss_dice: 0.7389, decode.d0.loss_cls: 1.3459, decode.d0.loss_mask: 0.5279, decode.d0.loss_dice: 0.8180, decode.d1.loss_cls: 0.3265, decode.d1.loss_mask: 0.5154, decode.d1.loss_dice: 0.7790, decode.d2.loss_cls: 0.2800, decode.d2.loss_mask: 0.5013, decode.d2.loss_dice: 0.7579, decode.d3.loss_cls: 0.2598, decode.d3.loss_mask: 0.4987, decode.d3.loss_dice: 0.7404, decode.d4.loss_cls: 0.2555, decode.d4.loss_mask: 0.4980, decode.d4.loss_dice: 0.7448, decode.d5.loss_cls: 0.2472, decode.d5.loss_mask: 0.4998, decode.d5.loss_dice: 0.7363, decode.d6.loss_cls: 0.2465, decode.d6.loss_mask: 0.4972, decode.d6.loss_dice: 0.7356, decode.d7.loss_cls: 0.2393, decode.d7.loss_mask: 0.4982, decode.d7.loss_dice: 0.7334, decode.d8.loss_cls: 0.2393, decode.d8.loss_mask: 0.4976, decode.d8.loss_dice: 0.7428, loss: 16.2364, grad_norm: 69.3677 2023-11-22 12:37:23,544 - mmseg - INFO - Iter [94300/160000] lr: 3.911e-06, eta: 10:42:19, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2358, decode.loss_mask: 0.5103, decode.loss_dice: 0.7536, decode.d0.loss_cls: 1.3281, decode.d0.loss_mask: 0.5505, decode.d0.loss_dice: 0.8311, decode.d1.loss_cls: 0.3233, decode.d1.loss_mask: 0.5273, decode.d1.loss_dice: 0.7904, decode.d2.loss_cls: 0.2731, decode.d2.loss_mask: 0.5172, decode.d2.loss_dice: 0.7693, decode.d3.loss_cls: 0.2536, decode.d3.loss_mask: 0.5149, decode.d3.loss_dice: 0.7548, decode.d4.loss_cls: 0.2470, decode.d4.loss_mask: 0.5153, decode.d4.loss_dice: 0.7574, decode.d5.loss_cls: 0.2436, decode.d5.loss_mask: 0.5110, decode.d5.loss_dice: 0.7540, decode.d6.loss_cls: 0.2449, decode.d6.loss_mask: 0.5107, decode.d6.loss_dice: 0.7474, decode.d7.loss_cls: 0.2430, decode.d7.loss_mask: 0.5114, decode.d7.loss_dice: 0.7536, decode.d8.loss_cls: 0.2396, decode.d8.loss_mask: 0.5115, decode.d8.loss_dice: 0.7544, loss: 16.4781, grad_norm: 71.2248 2023-11-22 12:37:51,854 - mmseg - INFO - Iter [94350/160000] lr: 3.908e-06, eta: 10:41:49, time: 0.568, data_time: 0.015, memory: 38143, decode.loss_cls: 0.2487, decode.loss_mask: 0.4816, decode.loss_dice: 0.7307, decode.d0.loss_cls: 1.3908, decode.d0.loss_mask: 0.5170, decode.d0.loss_dice: 0.8191, decode.d1.loss_cls: 0.3438, decode.d1.loss_mask: 0.5002, decode.d1.loss_dice: 0.7755, decode.d2.loss_cls: 0.2888, decode.d2.loss_mask: 0.4895, decode.d2.loss_dice: 0.7544, decode.d3.loss_cls: 0.2707, decode.d3.loss_mask: 0.4896, decode.d3.loss_dice: 0.7424, decode.d4.loss_cls: 0.2616, decode.d4.loss_mask: 0.4853, decode.d4.loss_dice: 0.7411, decode.d5.loss_cls: 0.2588, decode.d5.loss_mask: 0.4834, decode.d5.loss_dice: 0.7377, decode.d6.loss_cls: 0.2530, decode.d6.loss_mask: 0.4817, decode.d6.loss_dice: 0.7274, decode.d7.loss_cls: 0.2509, decode.d7.loss_mask: 0.4805, decode.d7.loss_dice: 0.7330, decode.d8.loss_cls: 0.2445, decode.d8.loss_mask: 0.4819, decode.d8.loss_dice: 0.7352, loss: 16.1992, grad_norm: 74.8188 2023-11-22 12:38:19,982 - mmseg - INFO - Iter [94400/160000] lr: 3.905e-06, eta: 10:41:18, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2199, decode.loss_mask: 0.4862, decode.loss_dice: 0.7139, decode.d0.loss_cls: 1.3139, decode.d0.loss_mask: 0.5238, decode.d0.loss_dice: 0.8005, decode.d1.loss_cls: 0.3074, decode.d1.loss_mask: 0.5029, decode.d1.loss_dice: 0.7563, decode.d2.loss_cls: 0.2622, decode.d2.loss_mask: 0.4926, decode.d2.loss_dice: 0.7373, decode.d3.loss_cls: 0.2445, decode.d3.loss_mask: 0.4851, decode.d3.loss_dice: 0.7217, decode.d4.loss_cls: 0.2369, decode.d4.loss_mask: 0.4864, decode.d4.loss_dice: 0.7259, decode.d5.loss_cls: 0.2330, decode.d5.loss_mask: 0.4851, decode.d5.loss_dice: 0.7202, decode.d6.loss_cls: 0.2281, decode.d6.loss_mask: 0.4845, decode.d6.loss_dice: 0.7169, decode.d7.loss_cls: 0.2234, decode.d7.loss_mask: 0.4856, decode.d7.loss_dice: 0.7161, decode.d8.loss_cls: 0.2234, decode.d8.loss_mask: 0.4876, decode.d8.loss_dice: 0.7161, loss: 15.7375, grad_norm: 70.8726 2023-11-22 12:38:48,332 - mmseg - INFO - Iter [94450/160000] lr: 3.902e-06, eta: 10:40:48, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2350, decode.loss_mask: 0.5013, decode.loss_dice: 0.7217, decode.d0.loss_cls: 1.3197, decode.d0.loss_mask: 0.5398, decode.d0.loss_dice: 0.8039, decode.d1.loss_cls: 0.3194, decode.d1.loss_mask: 0.5186, decode.d1.loss_dice: 0.7640, decode.d2.loss_cls: 0.2680, decode.d2.loss_mask: 0.5078, decode.d2.loss_dice: 0.7456, decode.d3.loss_cls: 0.2520, decode.d3.loss_mask: 0.5055, decode.d3.loss_dice: 0.7308, decode.d4.loss_cls: 0.2437, decode.d4.loss_mask: 0.5041, decode.d4.loss_dice: 0.7314, decode.d5.loss_cls: 0.2378, decode.d5.loss_mask: 0.5052, decode.d5.loss_dice: 0.7289, decode.d6.loss_cls: 0.2344, decode.d6.loss_mask: 0.5050, decode.d6.loss_dice: 0.7274, decode.d7.loss_cls: 0.2332, decode.d7.loss_mask: 0.5039, decode.d7.loss_dice: 0.7289, decode.d8.loss_cls: 0.2385, decode.d8.loss_mask: 0.5015, decode.d8.loss_dice: 0.7238, loss: 16.0807, grad_norm: 74.1875 2023-11-22 12:39:16,906 - mmseg - INFO - Iter [94500/160000] lr: 3.899e-06, eta: 10:40:19, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2245, decode.loss_mask: 0.4799, decode.loss_dice: 0.7385, decode.d0.loss_cls: 1.3484, decode.d0.loss_mask: 0.5138, decode.d0.loss_dice: 0.8129, decode.d1.loss_cls: 0.3107, decode.d1.loss_mask: 0.4968, decode.d1.loss_dice: 0.7796, decode.d2.loss_cls: 0.2626, decode.d2.loss_mask: 0.4903, decode.d2.loss_dice: 0.7529, decode.d3.loss_cls: 0.2402, decode.d3.loss_mask: 0.4891, decode.d3.loss_dice: 0.7423, decode.d4.loss_cls: 0.2393, decode.d4.loss_mask: 0.4867, decode.d4.loss_dice: 0.7400, decode.d5.loss_cls: 0.2306, decode.d5.loss_mask: 0.4883, decode.d5.loss_dice: 0.7411, decode.d6.loss_cls: 0.2272, decode.d6.loss_mask: 0.4857, decode.d6.loss_dice: 0.7378, decode.d7.loss_cls: 0.2248, decode.d7.loss_mask: 0.4849, decode.d7.loss_dice: 0.7407, decode.d8.loss_cls: 0.2274, decode.d8.loss_mask: 0.4828, decode.d8.loss_dice: 0.7398, loss: 15.9598, grad_norm: 69.5332 2023-11-22 12:39:45,207 - mmseg - INFO - Iter [94550/160000] lr: 3.896e-06, eta: 10:39:49, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2363, decode.loss_mask: 0.4799, decode.loss_dice: 0.7230, decode.d0.loss_cls: 1.3917, decode.d0.loss_mask: 0.5180, decode.d0.loss_dice: 0.7992, decode.d1.loss_cls: 0.3285, decode.d1.loss_mask: 0.5001, decode.d1.loss_dice: 0.7661, decode.d2.loss_cls: 0.2719, decode.d2.loss_mask: 0.4878, decode.d2.loss_dice: 0.7464, decode.d3.loss_cls: 0.2570, decode.d3.loss_mask: 0.4861, decode.d3.loss_dice: 0.7284, decode.d4.loss_cls: 0.2465, decode.d4.loss_mask: 0.4857, decode.d4.loss_dice: 0.7314, decode.d5.loss_cls: 0.2437, decode.d5.loss_mask: 0.4842, decode.d5.loss_dice: 0.7294, decode.d6.loss_cls: 0.2424, decode.d6.loss_mask: 0.4830, decode.d6.loss_dice: 0.7240, decode.d7.loss_cls: 0.2416, decode.d7.loss_mask: 0.4812, decode.d7.loss_dice: 0.7227, decode.d8.loss_cls: 0.2388, decode.d8.loss_mask: 0.4816, decode.d8.loss_dice: 0.7280, loss: 15.9845, grad_norm: 67.5625 2023-11-22 12:40:13,513 - mmseg - INFO - Iter [94600/160000] lr: 3.893e-06, eta: 10:39:19, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2369, decode.loss_mask: 0.4942, decode.loss_dice: 0.7195, decode.d0.loss_cls: 1.3361, decode.d0.loss_mask: 0.5268, decode.d0.loss_dice: 0.8057, decode.d1.loss_cls: 0.3387, decode.d1.loss_mask: 0.5106, decode.d1.loss_dice: 0.7530, decode.d2.loss_cls: 0.2794, decode.d2.loss_mask: 0.4956, decode.d2.loss_dice: 0.7380, decode.d3.loss_cls: 0.2612, decode.d3.loss_mask: 0.4936, decode.d3.loss_dice: 0.7219, decode.d4.loss_cls: 0.2507, decode.d4.loss_mask: 0.4962, decode.d4.loss_dice: 0.7231, decode.d5.loss_cls: 0.2511, decode.d5.loss_mask: 0.4921, decode.d5.loss_dice: 0.7205, decode.d6.loss_cls: 0.2480, decode.d6.loss_mask: 0.4942, decode.d6.loss_dice: 0.7166, decode.d7.loss_cls: 0.2416, decode.d7.loss_mask: 0.4943, decode.d7.loss_dice: 0.7158, decode.d8.loss_cls: 0.2376, decode.d8.loss_mask: 0.4945, decode.d8.loss_dice: 0.7185, loss: 16.0061, grad_norm: 73.2964 2023-11-22 12:40:41,795 - mmseg - INFO - Iter [94650/160000] lr: 3.890e-06, eta: 10:38:48, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2443, decode.loss_mask: 0.4872, decode.loss_dice: 0.7358, decode.d0.loss_cls: 1.3628, decode.d0.loss_mask: 0.5266, decode.d0.loss_dice: 0.8220, decode.d1.loss_cls: 0.3350, decode.d1.loss_mask: 0.5102, decode.d1.loss_dice: 0.7711, decode.d2.loss_cls: 0.2812, decode.d2.loss_mask: 0.4947, decode.d2.loss_dice: 0.7523, decode.d3.loss_cls: 0.2622, decode.d3.loss_mask: 0.4905, decode.d3.loss_dice: 0.7402, decode.d4.loss_cls: 0.2526, decode.d4.loss_mask: 0.4907, decode.d4.loss_dice: 0.7409, decode.d5.loss_cls: 0.2458, decode.d5.loss_mask: 0.4888, decode.d5.loss_dice: 0.7406, decode.d6.loss_cls: 0.2488, decode.d6.loss_mask: 0.4863, decode.d6.loss_dice: 0.7361, decode.d7.loss_cls: 0.2442, decode.d7.loss_mask: 0.4857, decode.d7.loss_dice: 0.7355, decode.d8.loss_cls: 0.2456, decode.d8.loss_mask: 0.4856, decode.d8.loss_dice: 0.7324, loss: 16.1758, grad_norm: 71.0808 2023-11-22 12:41:09,968 - mmseg - INFO - Iter [94700/160000] lr: 3.887e-06, eta: 10:38:18, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2280, decode.loss_mask: 0.4728, decode.loss_dice: 0.7144, decode.d0.loss_cls: 1.3382, decode.d0.loss_mask: 0.5099, decode.d0.loss_dice: 0.7936, decode.d1.loss_cls: 0.3140, decode.d1.loss_mask: 0.4945, decode.d1.loss_dice: 0.7563, decode.d2.loss_cls: 0.2629, decode.d2.loss_mask: 0.4833, decode.d2.loss_dice: 0.7381, decode.d3.loss_cls: 0.2509, decode.d3.loss_mask: 0.4755, decode.d3.loss_dice: 0.7214, decode.d4.loss_cls: 0.2417, decode.d4.loss_mask: 0.4755, decode.d4.loss_dice: 0.7222, decode.d5.loss_cls: 0.2341, decode.d5.loss_mask: 0.4754, decode.d5.loss_dice: 0.7202, decode.d6.loss_cls: 0.2356, decode.d6.loss_mask: 0.4752, decode.d6.loss_dice: 0.7123, decode.d7.loss_cls: 0.2312, decode.d7.loss_mask: 0.4733, decode.d7.loss_dice: 0.7143, decode.d8.loss_cls: 0.2301, decode.d8.loss_mask: 0.4732, decode.d8.loss_dice: 0.7128, loss: 15.6810, grad_norm: 70.8422 2023-11-22 12:41:41,028 - mmseg - INFO - Iter [94750/160000] lr: 3.884e-06, eta: 10:37:50, time: 0.621, data_time: 0.059, memory: 38143, decode.loss_cls: 0.2506, decode.loss_mask: 0.4912, decode.loss_dice: 0.7401, decode.d0.loss_cls: 1.3763, decode.d0.loss_mask: 0.5278, decode.d0.loss_dice: 0.8229, decode.d1.loss_cls: 0.3356, decode.d1.loss_mask: 0.5117, decode.d1.loss_dice: 0.7787, decode.d2.loss_cls: 0.2878, decode.d2.loss_mask: 0.5024, decode.d2.loss_dice: 0.7554, decode.d3.loss_cls: 0.2716, decode.d3.loss_mask: 0.4939, decode.d3.loss_dice: 0.7421, decode.d4.loss_cls: 0.2617, decode.d4.loss_mask: 0.4925, decode.d4.loss_dice: 0.7428, decode.d5.loss_cls: 0.2602, decode.d5.loss_mask: 0.4924, decode.d5.loss_dice: 0.7392, decode.d6.loss_cls: 0.2526, decode.d6.loss_mask: 0.4951, decode.d6.loss_dice: 0.7387, decode.d7.loss_cls: 0.2505, decode.d7.loss_mask: 0.4926, decode.d7.loss_dice: 0.7406, decode.d8.loss_cls: 0.2464, decode.d8.loss_mask: 0.4905, decode.d8.loss_dice: 0.7414, loss: 16.3252, grad_norm: 76.5249 2023-11-22 12:42:09,510 - mmseg - INFO - Iter [94800/160000] lr: 3.881e-06, eta: 10:37:20, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2330, decode.loss_mask: 0.4781, decode.loss_dice: 0.7333, decode.d0.loss_cls: 1.3626, decode.d0.loss_mask: 0.5150, decode.d0.loss_dice: 0.8127, decode.d1.loss_cls: 0.3312, decode.d1.loss_mask: 0.4937, decode.d1.loss_dice: 0.7686, decode.d2.loss_cls: 0.2766, decode.d2.loss_mask: 0.4835, decode.d2.loss_dice: 0.7486, decode.d3.loss_cls: 0.2483, decode.d3.loss_mask: 0.4793, decode.d3.loss_dice: 0.7392, decode.d4.loss_cls: 0.2472, decode.d4.loss_mask: 0.4791, decode.d4.loss_dice: 0.7337, decode.d5.loss_cls: 0.2353, decode.d5.loss_mask: 0.4814, decode.d5.loss_dice: 0.7373, decode.d6.loss_cls: 0.2384, decode.d6.loss_mask: 0.4787, decode.d6.loss_dice: 0.7335, decode.d7.loss_cls: 0.2310, decode.d7.loss_mask: 0.4783, decode.d7.loss_dice: 0.7308, decode.d8.loss_cls: 0.2290, decode.d8.loss_mask: 0.4785, decode.d8.loss_dice: 0.7337, loss: 15.9495, grad_norm: 68.9501 2023-11-22 12:42:38,047 - mmseg - INFO - Iter [94850/160000] lr: 3.878e-06, eta: 10:36:50, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2225, decode.loss_mask: 0.4771, decode.loss_dice: 0.7155, decode.d0.loss_cls: 1.3211, decode.d0.loss_mask: 0.5046, decode.d0.loss_dice: 0.7795, decode.d1.loss_cls: 0.3073, decode.d1.loss_mask: 0.4941, decode.d1.loss_dice: 0.7465, decode.d2.loss_cls: 0.2548, decode.d2.loss_mask: 0.4834, decode.d2.loss_dice: 0.7265, decode.d3.loss_cls: 0.2394, decode.d3.loss_mask: 0.4792, decode.d3.loss_dice: 0.7164, decode.d4.loss_cls: 0.2310, decode.d4.loss_mask: 0.4783, decode.d4.loss_dice: 0.7137, decode.d5.loss_cls: 0.2244, decode.d5.loss_mask: 0.4782, decode.d5.loss_dice: 0.7126, decode.d6.loss_cls: 0.2303, decode.d6.loss_mask: 0.4767, decode.d6.loss_dice: 0.7094, decode.d7.loss_cls: 0.2241, decode.d7.loss_mask: 0.4765, decode.d7.loss_dice: 0.7101, decode.d8.loss_cls: 0.2252, decode.d8.loss_mask: 0.4776, decode.d8.loss_dice: 0.7114, loss: 15.5475, grad_norm: 67.3435 2023-11-22 12:43:07,503 - mmseg - INFO - Iter [94900/160000] lr: 3.875e-06, eta: 10:36:21, time: 0.589, data_time: 0.015, memory: 38143, decode.loss_cls: 0.2521, decode.loss_mask: 0.4879, decode.loss_dice: 0.7297, decode.d0.loss_cls: 1.3354, decode.d0.loss_mask: 0.5313, decode.d0.loss_dice: 0.8201, decode.d1.loss_cls: 0.3401, decode.d1.loss_mask: 0.5113, decode.d1.loss_dice: 0.7731, decode.d2.loss_cls: 0.2905, decode.d2.loss_mask: 0.5001, decode.d2.loss_dice: 0.7499, decode.d3.loss_cls: 0.2717, decode.d3.loss_mask: 0.4977, decode.d3.loss_dice: 0.7365, decode.d4.loss_cls: 0.2673, decode.d4.loss_mask: 0.4961, decode.d4.loss_dice: 0.7360, decode.d5.loss_cls: 0.2620, decode.d5.loss_mask: 0.4944, decode.d5.loss_dice: 0.7346, decode.d6.loss_cls: 0.2591, decode.d6.loss_mask: 0.4922, decode.d6.loss_dice: 0.7292, decode.d7.loss_cls: 0.2527, decode.d7.loss_mask: 0.4901, decode.d7.loss_dice: 0.7311, decode.d8.loss_cls: 0.2562, decode.d8.loss_mask: 0.4886, decode.d8.loss_dice: 0.7285, loss: 16.2453, grad_norm: 71.7032 2023-11-22 12:43:36,504 - mmseg - INFO - Iter [94950/160000] lr: 3.873e-06, eta: 10:35:52, time: 0.580, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2311, decode.loss_mask: 0.4897, decode.loss_dice: 0.7254, decode.d0.loss_cls: 1.3405, decode.d0.loss_mask: 0.5268, decode.d0.loss_dice: 0.8024, decode.d1.loss_cls: 0.3160, decode.d1.loss_mask: 0.5065, decode.d1.loss_dice: 0.7578, decode.d2.loss_cls: 0.2732, decode.d2.loss_mask: 0.4978, decode.d2.loss_dice: 0.7374, decode.d3.loss_cls: 0.2514, decode.d3.loss_mask: 0.4906, decode.d3.loss_dice: 0.7276, decode.d4.loss_cls: 0.2456, decode.d4.loss_mask: 0.4922, decode.d4.loss_dice: 0.7264, decode.d5.loss_cls: 0.2392, decode.d5.loss_mask: 0.4903, decode.d5.loss_dice: 0.7302, decode.d6.loss_cls: 0.2391, decode.d6.loss_mask: 0.4897, decode.d6.loss_dice: 0.7207, decode.d7.loss_cls: 0.2330, decode.d7.loss_mask: 0.4903, decode.d7.loss_dice: 0.7257, decode.d8.loss_cls: 0.2366, decode.d8.loss_mask: 0.4887, decode.d8.loss_dice: 0.7235, loss: 15.9456, grad_norm: 69.1491 2023-11-22 12:44:04,864 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 12:44:04,864 - mmseg - INFO - Iter [95000/160000] lr: 3.870e-06, eta: 10:35:22, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2180, decode.loss_mask: 0.4832, decode.loss_dice: 0.7111, decode.d0.loss_cls: 1.3054, decode.d0.loss_mask: 0.5198, decode.d0.loss_dice: 0.8018, decode.d1.loss_cls: 0.2986, decode.d1.loss_mask: 0.4985, decode.d1.loss_dice: 0.7568, decode.d2.loss_cls: 0.2518, decode.d2.loss_mask: 0.4897, decode.d2.loss_dice: 0.7341, decode.d3.loss_cls: 0.2332, decode.d3.loss_mask: 0.4879, decode.d3.loss_dice: 0.7210, decode.d4.loss_cls: 0.2293, decode.d4.loss_mask: 0.4868, decode.d4.loss_dice: 0.7188, decode.d5.loss_cls: 0.2249, decode.d5.loss_mask: 0.4855, decode.d5.loss_dice: 0.7165, decode.d6.loss_cls: 0.2239, decode.d6.loss_mask: 0.4824, decode.d6.loss_dice: 0.7119, decode.d7.loss_cls: 0.2246, decode.d7.loss_mask: 0.4826, decode.d7.loss_dice: 0.7110, decode.d8.loss_cls: 0.2216, decode.d8.loss_mask: 0.4831, decode.d8.loss_dice: 0.7124, loss: 15.6262, grad_norm: 68.5324 2023-11-22 12:44:33,334 - mmseg - INFO - Iter [95050/160000] lr: 3.867e-06, eta: 10:34:52, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2246, decode.loss_mask: 0.4911, decode.loss_dice: 0.7216, decode.d0.loss_cls: 1.3324, decode.d0.loss_mask: 0.5302, decode.d0.loss_dice: 0.8088, decode.d1.loss_cls: 0.3165, decode.d1.loss_mask: 0.5103, decode.d1.loss_dice: 0.7620, decode.d2.loss_cls: 0.2664, decode.d2.loss_mask: 0.4996, decode.d2.loss_dice: 0.7420, decode.d3.loss_cls: 0.2485, decode.d3.loss_mask: 0.4948, decode.d3.loss_dice: 0.7334, decode.d4.loss_cls: 0.2451, decode.d4.loss_mask: 0.4938, decode.d4.loss_dice: 0.7292, decode.d5.loss_cls: 0.2406, decode.d5.loss_mask: 0.4910, decode.d5.loss_dice: 0.7267, decode.d6.loss_cls: 0.2298, decode.d6.loss_mask: 0.4917, decode.d6.loss_dice: 0.7262, decode.d7.loss_cls: 0.2323, decode.d7.loss_mask: 0.4917, decode.d7.loss_dice: 0.7249, decode.d8.loss_cls: 0.2295, decode.d8.loss_mask: 0.4917, decode.d8.loss_dice: 0.7200, loss: 15.9464, grad_norm: 69.5739 2023-11-22 12:45:01,990 - mmseg - INFO - Iter [95100/160000] lr: 3.864e-06, eta: 10:34:22, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2138, decode.loss_mask: 0.4756, decode.loss_dice: 0.7052, decode.d0.loss_cls: 1.3233, decode.d0.loss_mask: 0.5100, decode.d0.loss_dice: 0.7852, decode.d1.loss_cls: 0.2931, decode.d1.loss_mask: 0.4892, decode.d1.loss_dice: 0.7589, decode.d2.loss_cls: 0.2466, decode.d2.loss_mask: 0.4830, decode.d2.loss_dice: 0.7274, decode.d3.loss_cls: 0.2267, decode.d3.loss_mask: 0.4813, decode.d3.loss_dice: 0.7157, decode.d4.loss_cls: 0.2235, decode.d4.loss_mask: 0.4784, decode.d4.loss_dice: 0.7157, decode.d5.loss_cls: 0.2209, decode.d5.loss_mask: 0.4775, decode.d5.loss_dice: 0.7129, decode.d6.loss_cls: 0.2196, decode.d6.loss_mask: 0.4758, decode.d6.loss_dice: 0.7084, decode.d7.loss_cls: 0.2140, decode.d7.loss_mask: 0.4757, decode.d7.loss_dice: 0.7110, decode.d8.loss_cls: 0.2165, decode.d8.loss_mask: 0.4755, decode.d8.loss_dice: 0.7093, loss: 15.4696, grad_norm: 70.4995 2023-11-22 12:45:30,303 - mmseg - INFO - Iter [95150/160000] lr: 3.861e-06, eta: 10:33:52, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2460, decode.loss_mask: 0.4867, decode.loss_dice: 0.7428, decode.d0.loss_cls: 1.3554, decode.d0.loss_mask: 0.5252, decode.d0.loss_dice: 0.8306, decode.d1.loss_cls: 0.3281, decode.d1.loss_mask: 0.5071, decode.d1.loss_dice: 0.7805, decode.d2.loss_cls: 0.2733, decode.d2.loss_mask: 0.4956, decode.d2.loss_dice: 0.7615, decode.d3.loss_cls: 0.2564, decode.d3.loss_mask: 0.4933, decode.d3.loss_dice: 0.7510, decode.d4.loss_cls: 0.2499, decode.d4.loss_mask: 0.4912, decode.d4.loss_dice: 0.7452, decode.d5.loss_cls: 0.2424, decode.d5.loss_mask: 0.4919, decode.d5.loss_dice: 0.7516, decode.d6.loss_cls: 0.2492, decode.d6.loss_mask: 0.4899, decode.d6.loss_dice: 0.7430, decode.d7.loss_cls: 0.2422, decode.d7.loss_mask: 0.4880, decode.d7.loss_dice: 0.7428, decode.d8.loss_cls: 0.2447, decode.d8.loss_mask: 0.4873, decode.d8.loss_dice: 0.7421, loss: 16.2348, grad_norm: 73.1399 2023-11-22 12:45:58,866 - mmseg - INFO - Iter [95200/160000] lr: 3.858e-06, eta: 10:33:22, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2219, decode.loss_mask: 0.4659, decode.loss_dice: 0.7146, decode.d0.loss_cls: 1.3367, decode.d0.loss_mask: 0.5011, decode.d0.loss_dice: 0.8105, decode.d1.loss_cls: 0.3045, decode.d1.loss_mask: 0.4862, decode.d1.loss_dice: 0.7533, decode.d2.loss_cls: 0.2560, decode.d2.loss_mask: 0.4747, decode.d2.loss_dice: 0.7336, decode.d3.loss_cls: 0.2371, decode.d3.loss_mask: 0.4691, decode.d3.loss_dice: 0.7190, decode.d4.loss_cls: 0.2315, decode.d4.loss_mask: 0.4703, decode.d4.loss_dice: 0.7199, decode.d5.loss_cls: 0.2221, decode.d5.loss_mask: 0.4695, decode.d5.loss_dice: 0.7228, decode.d6.loss_cls: 0.2225, decode.d6.loss_mask: 0.4665, decode.d6.loss_dice: 0.7173, decode.d7.loss_cls: 0.2211, decode.d7.loss_mask: 0.4664, decode.d7.loss_dice: 0.7168, decode.d8.loss_cls: 0.2246, decode.d8.loss_mask: 0.4660, decode.d8.loss_dice: 0.7172, loss: 15.5390, grad_norm: 67.3986 2023-11-22 12:46:27,072 - mmseg - INFO - Iter [95250/160000] lr: 3.855e-06, eta: 10:32:52, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2237, decode.loss_mask: 0.5019, decode.loss_dice: 0.7425, decode.d0.loss_cls: 1.3817, decode.d0.loss_mask: 0.5395, decode.d0.loss_dice: 0.8307, decode.d1.loss_cls: 0.3167, decode.d1.loss_mask: 0.5251, decode.d1.loss_dice: 0.7868, decode.d2.loss_cls: 0.2639, decode.d2.loss_mask: 0.5158, decode.d2.loss_dice: 0.7620, decode.d3.loss_cls: 0.2454, decode.d3.loss_mask: 0.5072, decode.d3.loss_dice: 0.7478, decode.d4.loss_cls: 0.2445, decode.d4.loss_mask: 0.5063, decode.d4.loss_dice: 0.7461, decode.d5.loss_cls: 0.2308, decode.d5.loss_mask: 0.5033, decode.d5.loss_dice: 0.7425, decode.d6.loss_cls: 0.2362, decode.d6.loss_mask: 0.5021, decode.d6.loss_dice: 0.7378, decode.d7.loss_cls: 0.2308, decode.d7.loss_mask: 0.5022, decode.d7.loss_dice: 0.7377, decode.d8.loss_cls: 0.2284, decode.d8.loss_mask: 0.5030, decode.d8.loss_dice: 0.7397, loss: 16.2821, grad_norm: 73.7086 2023-11-22 12:46:55,345 - mmseg - INFO - Iter [95300/160000] lr: 3.852e-06, eta: 10:32:22, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2417, decode.loss_mask: 0.4692, decode.loss_dice: 0.7207, decode.d0.loss_cls: 1.3758, decode.d0.loss_mask: 0.5080, decode.d0.loss_dice: 0.8035, decode.d1.loss_cls: 0.3350, decode.d1.loss_mask: 0.4838, decode.d1.loss_dice: 0.7633, decode.d2.loss_cls: 0.2810, decode.d2.loss_mask: 0.4736, decode.d2.loss_dice: 0.7365, decode.d3.loss_cls: 0.2602, decode.d3.loss_mask: 0.4699, decode.d3.loss_dice: 0.7263, decode.d4.loss_cls: 0.2573, decode.d4.loss_mask: 0.4704, decode.d4.loss_dice: 0.7265, decode.d5.loss_cls: 0.2497, decode.d5.loss_mask: 0.4682, decode.d5.loss_dice: 0.7255, decode.d6.loss_cls: 0.2459, decode.d6.loss_mask: 0.4682, decode.d6.loss_dice: 0.7221, decode.d7.loss_cls: 0.2419, decode.d7.loss_mask: 0.4684, decode.d7.loss_dice: 0.7170, decode.d8.loss_cls: 0.2432, decode.d8.loss_mask: 0.4710, decode.d8.loss_dice: 0.7218, loss: 15.8457, grad_norm: 68.9475 2023-11-22 12:47:23,793 - mmseg - INFO - Iter [95350/160000] lr: 3.849e-06, eta: 10:31:52, time: 0.569, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2468, decode.loss_mask: 0.5014, decode.loss_dice: 0.7435, decode.d0.loss_cls: 1.3305, decode.d0.loss_mask: 0.5499, decode.d0.loss_dice: 0.8312, decode.d1.loss_cls: 0.3297, decode.d1.loss_mask: 0.5254, decode.d1.loss_dice: 0.7845, decode.d2.loss_cls: 0.2799, decode.d2.loss_mask: 0.5116, decode.d2.loss_dice: 0.7602, decode.d3.loss_cls: 0.2657, decode.d3.loss_mask: 0.5061, decode.d3.loss_dice: 0.7495, decode.d4.loss_cls: 0.2569, decode.d4.loss_mask: 0.5054, decode.d4.loss_dice: 0.7488, decode.d5.loss_cls: 0.2548, decode.d5.loss_mask: 0.5038, decode.d5.loss_dice: 0.7468, decode.d6.loss_cls: 0.2480, decode.d6.loss_mask: 0.5039, decode.d6.loss_dice: 0.7431, decode.d7.loss_cls: 0.2417, decode.d7.loss_mask: 0.5025, decode.d7.loss_dice: 0.7440, decode.d8.loss_cls: 0.2454, decode.d8.loss_mask: 0.5025, decode.d8.loss_dice: 0.7392, loss: 16.4026, grad_norm: 74.6821 2023-11-22 12:47:52,194 - mmseg - INFO - Iter [95400/160000] lr: 3.846e-06, eta: 10:31:22, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2347, decode.loss_mask: 0.4790, decode.loss_dice: 0.7102, decode.d0.loss_cls: 1.3223, decode.d0.loss_mask: 0.5128, decode.d0.loss_dice: 0.8048, decode.d1.loss_cls: 0.3159, decode.d1.loss_mask: 0.4986, decode.d1.loss_dice: 0.7602, decode.d2.loss_cls: 0.2685, decode.d2.loss_mask: 0.4863, decode.d2.loss_dice: 0.7319, decode.d3.loss_cls: 0.2476, decode.d3.loss_mask: 0.4830, decode.d3.loss_dice: 0.7194, decode.d4.loss_cls: 0.2411, decode.d4.loss_mask: 0.4825, decode.d4.loss_dice: 0.7186, decode.d5.loss_cls: 0.2368, decode.d5.loss_mask: 0.4827, decode.d5.loss_dice: 0.7154, decode.d6.loss_cls: 0.2398, decode.d6.loss_mask: 0.4796, decode.d6.loss_dice: 0.7140, decode.d7.loss_cls: 0.2415, decode.d7.loss_mask: 0.4789, decode.d7.loss_dice: 0.7126, decode.d8.loss_cls: 0.2347, decode.d8.loss_mask: 0.4788, decode.d8.loss_dice: 0.7106, loss: 15.7428, grad_norm: 73.7089 2023-11-22 12:48:20,514 - mmseg - INFO - Iter [95450/160000] lr: 3.843e-06, eta: 10:30:52, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2412, decode.loss_mask: 0.4836, decode.loss_dice: 0.7321, decode.d0.loss_cls: 1.3711, decode.d0.loss_mask: 0.5176, decode.d0.loss_dice: 0.8118, decode.d1.loss_cls: 0.3314, decode.d1.loss_mask: 0.5055, decode.d1.loss_dice: 0.7687, decode.d2.loss_cls: 0.2811, decode.d2.loss_mask: 0.4923, decode.d2.loss_dice: 0.7467, decode.d3.loss_cls: 0.2579, decode.d3.loss_mask: 0.4880, decode.d3.loss_dice: 0.7313, decode.d4.loss_cls: 0.2540, decode.d4.loss_mask: 0.4860, decode.d4.loss_dice: 0.7332, decode.d5.loss_cls: 0.2473, decode.d5.loss_mask: 0.4849, decode.d5.loss_dice: 0.7340, decode.d6.loss_cls: 0.2471, decode.d6.loss_mask: 0.4841, decode.d6.loss_dice: 0.7280, decode.d7.loss_cls: 0.2440, decode.d7.loss_mask: 0.4831, decode.d7.loss_dice: 0.7351, decode.d8.loss_cls: 0.2450, decode.d8.loss_mask: 0.4812, decode.d8.loss_dice: 0.7288, loss: 16.0760, grad_norm: 71.1488 2023-11-22 12:48:48,832 - mmseg - INFO - Iter [95500/160000] lr: 3.840e-06, eta: 10:30:22, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2302, decode.loss_mask: 0.4927, decode.loss_dice: 0.7114, decode.d0.loss_cls: 1.3277, decode.d0.loss_mask: 0.5324, decode.d0.loss_dice: 0.8023, decode.d1.loss_cls: 0.3080, decode.d1.loss_mask: 0.5105, decode.d1.loss_dice: 0.7569, decode.d2.loss_cls: 0.2642, decode.d2.loss_mask: 0.5012, decode.d2.loss_dice: 0.7293, decode.d3.loss_cls: 0.2463, decode.d3.loss_mask: 0.4955, decode.d3.loss_dice: 0.7152, decode.d4.loss_cls: 0.2395, decode.d4.loss_mask: 0.4968, decode.d4.loss_dice: 0.7169, decode.d5.loss_cls: 0.2340, decode.d5.loss_mask: 0.4959, decode.d5.loss_dice: 0.7174, decode.d6.loss_cls: 0.2348, decode.d6.loss_mask: 0.4941, decode.d6.loss_dice: 0.7107, decode.d7.loss_cls: 0.2307, decode.d7.loss_mask: 0.4924, decode.d7.loss_dice: 0.7138, decode.d8.loss_cls: 0.2328, decode.d8.loss_mask: 0.4928, decode.d8.loss_dice: 0.7126, loss: 15.8390, grad_norm: 69.6235 2023-11-22 12:49:17,151 - mmseg - INFO - Iter [95550/160000] lr: 3.837e-06, eta: 10:29:52, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2260, decode.loss_mask: 0.4722, decode.loss_dice: 0.7204, decode.d0.loss_cls: 1.3629, decode.d0.loss_mask: 0.5106, decode.d0.loss_dice: 0.8047, decode.d1.loss_cls: 0.3122, decode.d1.loss_mask: 0.4898, decode.d1.loss_dice: 0.7619, decode.d2.loss_cls: 0.2674, decode.d2.loss_mask: 0.4840, decode.d2.loss_dice: 0.7404, decode.d3.loss_cls: 0.2458, decode.d3.loss_mask: 0.4778, decode.d3.loss_dice: 0.7312, decode.d4.loss_cls: 0.2344, decode.d4.loss_mask: 0.4775, decode.d4.loss_dice: 0.7302, decode.d5.loss_cls: 0.2333, decode.d5.loss_mask: 0.4742, decode.d5.loss_dice: 0.7299, decode.d6.loss_cls: 0.2337, decode.d6.loss_mask: 0.4733, decode.d6.loss_dice: 0.7202, decode.d7.loss_cls: 0.2309, decode.d7.loss_mask: 0.4722, decode.d7.loss_dice: 0.7237, decode.d8.loss_cls: 0.2272, decode.d8.loss_mask: 0.4717, decode.d8.loss_dice: 0.7243, loss: 15.7642, grad_norm: 65.7387 2023-11-22 12:49:45,353 - mmseg - INFO - Iter [95600/160000] lr: 3.834e-06, eta: 10:29:22, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2278, decode.loss_mask: 0.4917, decode.loss_dice: 0.7314, decode.d0.loss_cls: 1.3062, decode.d0.loss_mask: 0.5245, decode.d0.loss_dice: 0.8157, decode.d1.loss_cls: 0.3118, decode.d1.loss_mask: 0.5098, decode.d1.loss_dice: 0.7727, decode.d2.loss_cls: 0.2662, decode.d2.loss_mask: 0.4980, decode.d2.loss_dice: 0.7510, decode.d3.loss_cls: 0.2464, decode.d3.loss_mask: 0.4941, decode.d3.loss_dice: 0.7395, decode.d4.loss_cls: 0.2357, decode.d4.loss_mask: 0.4943, decode.d4.loss_dice: 0.7395, decode.d5.loss_cls: 0.2331, decode.d5.loss_mask: 0.4939, decode.d5.loss_dice: 0.7415, decode.d6.loss_cls: 0.2294, decode.d6.loss_mask: 0.4925, decode.d6.loss_dice: 0.7355, decode.d7.loss_cls: 0.2293, decode.d7.loss_mask: 0.4926, decode.d7.loss_dice: 0.7311, decode.d8.loss_cls: 0.2282, decode.d8.loss_mask: 0.4919, decode.d8.loss_dice: 0.7348, loss: 15.9904, grad_norm: 72.6415 2023-11-22 12:50:13,915 - mmseg - INFO - Iter [95650/160000] lr: 3.831e-06, eta: 10:28:52, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2267, decode.loss_mask: 0.4888, decode.loss_dice: 0.7360, decode.d0.loss_cls: 1.3476, decode.d0.loss_mask: 0.5176, decode.d0.loss_dice: 0.8179, decode.d1.loss_cls: 0.3088, decode.d1.loss_mask: 0.5089, decode.d1.loss_dice: 0.7713, decode.d2.loss_cls: 0.2667, decode.d2.loss_mask: 0.4944, decode.d2.loss_dice: 0.7556, decode.d3.loss_cls: 0.2432, decode.d3.loss_mask: 0.4904, decode.d3.loss_dice: 0.7389, decode.d4.loss_cls: 0.2374, decode.d4.loss_mask: 0.4897, decode.d4.loss_dice: 0.7390, decode.d5.loss_cls: 0.2287, decode.d5.loss_mask: 0.4885, decode.d5.loss_dice: 0.7416, decode.d6.loss_cls: 0.2265, decode.d6.loss_mask: 0.4892, decode.d6.loss_dice: 0.7379, decode.d7.loss_cls: 0.2249, decode.d7.loss_mask: 0.4872, decode.d7.loss_dice: 0.7338, decode.d8.loss_cls: 0.2275, decode.d8.loss_mask: 0.4857, decode.d8.loss_dice: 0.7354, loss: 15.9856, grad_norm: 74.0891 2023-11-22 12:50:42,142 - mmseg - INFO - Iter [95700/160000] lr: 3.828e-06, eta: 10:28:22, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2225, decode.loss_mask: 0.4824, decode.loss_dice: 0.7293, decode.d0.loss_cls: 1.3694, decode.d0.loss_mask: 0.5215, decode.d0.loss_dice: 0.8190, decode.d1.loss_cls: 0.3158, decode.d1.loss_mask: 0.5019, decode.d1.loss_dice: 0.7703, decode.d2.loss_cls: 0.2611, decode.d2.loss_mask: 0.4930, decode.d2.loss_dice: 0.7515, decode.d3.loss_cls: 0.2426, decode.d3.loss_mask: 0.4863, decode.d3.loss_dice: 0.7408, decode.d4.loss_cls: 0.2346, decode.d4.loss_mask: 0.4893, decode.d4.loss_dice: 0.7387, decode.d5.loss_cls: 0.2284, decode.d5.loss_mask: 0.4863, decode.d5.loss_dice: 0.7349, decode.d6.loss_cls: 0.2290, decode.d6.loss_mask: 0.4829, decode.d6.loss_dice: 0.7316, decode.d7.loss_cls: 0.2244, decode.d7.loss_mask: 0.4825, decode.d7.loss_dice: 0.7293, decode.d8.loss_cls: 0.2203, decode.d8.loss_mask: 0.4813, decode.d8.loss_dice: 0.7309, loss: 15.9318, grad_norm: 67.0300 2023-11-22 12:51:10,352 - mmseg - INFO - Iter [95750/160000] lr: 3.825e-06, eta: 10:27:52, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2330, decode.loss_mask: 0.4839, decode.loss_dice: 0.7055, decode.d0.loss_cls: 1.3303, decode.d0.loss_mask: 0.5216, decode.d0.loss_dice: 0.7975, decode.d1.loss_cls: 0.3127, decode.d1.loss_mask: 0.5011, decode.d1.loss_dice: 0.7442, decode.d2.loss_cls: 0.2714, decode.d2.loss_mask: 0.4919, decode.d2.loss_dice: 0.7271, decode.d3.loss_cls: 0.2530, decode.d3.loss_mask: 0.4857, decode.d3.loss_dice: 0.7177, decode.d4.loss_cls: 0.2489, decode.d4.loss_mask: 0.4837, decode.d4.loss_dice: 0.7119, decode.d5.loss_cls: 0.2427, decode.d5.loss_mask: 0.4837, decode.d5.loss_dice: 0.7141, decode.d6.loss_cls: 0.2367, decode.d6.loss_mask: 0.4828, decode.d6.loss_dice: 0.7075, decode.d7.loss_cls: 0.2344, decode.d7.loss_mask: 0.4813, decode.d7.loss_dice: 0.7097, decode.d8.loss_cls: 0.2317, decode.d8.loss_mask: 0.4824, decode.d8.loss_dice: 0.7070, loss: 15.7350, grad_norm: 64.0626 2023-11-22 12:51:38,721 - mmseg - INFO - Iter [95800/160000] lr: 3.822e-06, eta: 10:27:22, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2301, decode.loss_mask: 0.4864, decode.loss_dice: 0.7342, decode.d0.loss_cls: 1.3736, decode.d0.loss_mask: 0.5184, decode.d0.loss_dice: 0.8124, decode.d1.loss_cls: 0.3201, decode.d1.loss_mask: 0.5013, decode.d1.loss_dice: 0.7657, decode.d2.loss_cls: 0.2673, decode.d2.loss_mask: 0.4907, decode.d2.loss_dice: 0.7517, decode.d3.loss_cls: 0.2529, decode.d3.loss_mask: 0.4892, decode.d3.loss_dice: 0.7358, decode.d4.loss_cls: 0.2447, decode.d4.loss_mask: 0.4879, decode.d4.loss_dice: 0.7381, decode.d5.loss_cls: 0.2431, decode.d5.loss_mask: 0.4878, decode.d5.loss_dice: 0.7339, decode.d6.loss_cls: 0.2387, decode.d6.loss_mask: 0.4857, decode.d6.loss_dice: 0.7340, decode.d7.loss_cls: 0.2338, decode.d7.loss_mask: 0.4863, decode.d7.loss_dice: 0.7333, decode.d8.loss_cls: 0.2322, decode.d8.loss_mask: 0.4852, decode.d8.loss_dice: 0.7309, loss: 16.0255, grad_norm: 75.3385 2023-11-22 12:52:06,987 - mmseg - INFO - Iter [95850/160000] lr: 3.819e-06, eta: 10:26:52, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2486, decode.loss_mask: 0.4931, decode.loss_dice: 0.7284, decode.d0.loss_cls: 1.3502, decode.d0.loss_mask: 0.5294, decode.d0.loss_dice: 0.8099, decode.d1.loss_cls: 0.3413, decode.d1.loss_mask: 0.5141, decode.d1.loss_dice: 0.7676, decode.d2.loss_cls: 0.2835, decode.d2.loss_mask: 0.5034, decode.d2.loss_dice: 0.7484, decode.d3.loss_cls: 0.2655, decode.d3.loss_mask: 0.4995, decode.d3.loss_dice: 0.7324, decode.d4.loss_cls: 0.2596, decode.d4.loss_mask: 0.4952, decode.d4.loss_dice: 0.7313, decode.d5.loss_cls: 0.2567, decode.d5.loss_mask: 0.4949, decode.d5.loss_dice: 0.7283, decode.d6.loss_cls: 0.2557, decode.d6.loss_mask: 0.4936, decode.d6.loss_dice: 0.7293, decode.d7.loss_cls: 0.2541, decode.d7.loss_mask: 0.4935, decode.d7.loss_dice: 0.7275, decode.d8.loss_cls: 0.2496, decode.d8.loss_mask: 0.4942, decode.d8.loss_dice: 0.7295, loss: 16.2081, grad_norm: 72.0158 2023-11-22 12:52:35,162 - mmseg - INFO - Iter [95900/160000] lr: 3.816e-06, eta: 10:26:22, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2353, decode.loss_mask: 0.4869, decode.loss_dice: 0.7128, decode.d0.loss_cls: 1.3501, decode.d0.loss_mask: 0.5197, decode.d0.loss_dice: 0.7990, decode.d1.loss_cls: 0.3236, decode.d1.loss_mask: 0.5004, decode.d1.loss_dice: 0.7518, decode.d2.loss_cls: 0.2748, decode.d2.loss_mask: 0.4942, decode.d2.loss_dice: 0.7313, decode.d3.loss_cls: 0.2609, decode.d3.loss_mask: 0.4909, decode.d3.loss_dice: 0.7163, decode.d4.loss_cls: 0.2553, decode.d4.loss_mask: 0.4864, decode.d4.loss_dice: 0.7149, decode.d5.loss_cls: 0.2459, decode.d5.loss_mask: 0.4869, decode.d5.loss_dice: 0.7174, decode.d6.loss_cls: 0.2424, decode.d6.loss_mask: 0.4856, decode.d6.loss_dice: 0.7120, decode.d7.loss_cls: 0.2325, decode.d7.loss_mask: 0.4855, decode.d7.loss_dice: 0.7136, decode.d8.loss_cls: 0.2329, decode.d8.loss_mask: 0.4867, decode.d8.loss_dice: 0.7134, loss: 15.8594, grad_norm: 70.5948 2023-11-22 12:53:03,801 - mmseg - INFO - Iter [95950/160000] lr: 3.813e-06, eta: 10:25:52, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2543, decode.loss_mask: 0.4704, decode.loss_dice: 0.7190, decode.d0.loss_cls: 1.3449, decode.d0.loss_mask: 0.5045, decode.d0.loss_dice: 0.8080, decode.d1.loss_cls: 0.3426, decode.d1.loss_mask: 0.4924, decode.d1.loss_dice: 0.7668, decode.d2.loss_cls: 0.2966, decode.d2.loss_mask: 0.4810, decode.d2.loss_dice: 0.7385, decode.d3.loss_cls: 0.2763, decode.d3.loss_mask: 0.4759, decode.d3.loss_dice: 0.7283, decode.d4.loss_cls: 0.2665, decode.d4.loss_mask: 0.4771, decode.d4.loss_dice: 0.7266, decode.d5.loss_cls: 0.2607, decode.d5.loss_mask: 0.4744, decode.d5.loss_dice: 0.7270, decode.d6.loss_cls: 0.2582, decode.d6.loss_mask: 0.4702, decode.d6.loss_dice: 0.7208, decode.d7.loss_cls: 0.2534, decode.d7.loss_mask: 0.4714, decode.d7.loss_dice: 0.7223, decode.d8.loss_cls: 0.2518, decode.d8.loss_mask: 0.4724, decode.d8.loss_dice: 0.7195, loss: 15.9717, grad_norm: 63.0488 2023-11-22 12:53:34,592 - mmseg - INFO - Saving checkpoint at 96000 iterations 2023-11-22 12:53:42,428 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 12:53:42,429 - mmseg - INFO - Iter [96000/160000] lr: 3.810e-06, eta: 10:25:29, time: 0.773, data_time: 0.059, memory: 38143, decode.loss_cls: 0.2319, decode.loss_mask: 0.4952, decode.loss_dice: 0.7294, decode.d0.loss_cls: 1.3160, decode.d0.loss_mask: 0.5319, decode.d0.loss_dice: 0.8226, decode.d1.loss_cls: 0.3132, decode.d1.loss_mask: 0.5134, decode.d1.loss_dice: 0.7758, decode.d2.loss_cls: 0.2680, decode.d2.loss_mask: 0.5003, decode.d2.loss_dice: 0.7549, decode.d3.loss_cls: 0.2515, decode.d3.loss_mask: 0.4978, decode.d3.loss_dice: 0.7365, decode.d4.loss_cls: 0.2490, decode.d4.loss_mask: 0.4953, decode.d4.loss_dice: 0.7354, decode.d5.loss_cls: 0.2451, decode.d5.loss_mask: 0.4955, decode.d5.loss_dice: 0.7315, decode.d6.loss_cls: 0.2386, decode.d6.loss_mask: 0.4949, decode.d6.loss_dice: 0.7337, decode.d7.loss_cls: 0.2412, decode.d7.loss_mask: 0.4928, decode.d7.loss_dice: 0.7275, decode.d8.loss_cls: 0.2388, decode.d8.loss_mask: 0.4939, decode.d8.loss_dice: 0.7304, loss: 16.0822, grad_norm: 69.2930 2023-11-22 12:54:01,955 - mmseg - INFO - per class results: 2023-11-22 12:54:01,961 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.88 | 88.23 | | building | 83.35 | 92.01 | | sky | 95.08 | 97.93 | | floor | 84.42 | 91.07 | | tree | 75.83 | 88.04 | | ceiling | 85.8 | 92.59 | | road | 86.71 | 92.35 | | bed | 92.09 | 96.11 | | windowpane | 64.66 | 82.12 | | grass | 67.44 | 82.51 | | cabinet | 62.26 | 75.74 | | sidewalk | 68.33 | 80.74 | | person | 86.27 | 93.88 | | earth | 36.81 | 50.8 | | door | 54.47 | 67.89 | | table | 71.01 | 83.92 | | mountain | 59.61 | 74.65 | | plant | 53.75 | 65.67 | | curtain | 74.38 | 86.76 | | chair | 67.7 | 81.07 | | car | 87.5 | 93.71 | | water | 56.33 | 69.75 | | painting | 74.49 | 89.58 | | sofa | 78.93 | 88.72 | | shelf | 45.91 | 62.53 | | house | 42.1 | 62.93 | | sea | 63.91 | 90.46 | | mirror | 73.01 | 84.91 | | rug | 67.47 | 81.6 | | field | 34.39 | 51.4 | | armchair | 56.79 | 74.59 | | seat | 63.96 | 88.92 | | fence | 49.31 | 61.79 | | desk | 57.86 | 77.76 | | rock | 42.41 | 56.05 | | wardrobe | 43.93 | 70.91 | | lamp | 73.16 | 82.57 | | bathtub | 80.32 | 87.38 | | railing | 36.84 | 52.0 | | cushion | 67.68 | 80.14 | | base | 46.44 | 69.12 | | box | 35.17 | 46.88 | | column | 49.87 | 72.76 | | signboard | 42.21 | 57.51 | | chest of drawers | 43.16 | 65.99 | | counter | 48.15 | 60.45 | | sand | 36.59 | 51.34 | | sink | 79.74 | 87.87 | | skyscraper | 65.11 | 78.87 | | fireplace | 77.59 | 92.02 | | refrigerator | 79.19 | 84.16 | | grandstand | 46.3 | 77.4 | | path | 22.22 | 41.58 | | stairs | 14.69 | 16.8 | | runway | 76.44 | 97.16 | | case | 58.52 | 84.97 | | pool table | 85.29 | 97.05 | | pillow | 60.86 | 71.84 | | screen door | 76.83 | 89.03 | | stairway | 26.66 | 50.62 | | river | 12.22 | 19.81 | | bridge | 82.46 | 90.72 | | bookcase | 33.19 | 45.62 | | blind | 41.85 | 47.16 | | coffee table | 73.55 | 85.62 | | toilet | 90.9 | 93.62 | | flower | 43.69 | 61.2 | | book | 55.11 | 75.09 | | hill | 8.71 | 14.66 | | bench | 58.2 | 66.59 | | countertop | 55.71 | 77.31 | | stove | 84.56 | 89.54 | | palm | 53.21 | 81.7 | | kitchen island | 53.89 | 78.7 | | computer | 77.35 | 86.72 | | swivel chair | 55.05 | 75.99 | | boat | 51.85 | 57.22 | | bar | 56.24 | 61.64 | | arcade machine | 46.31 | 49.15 | | hovel | 41.77 | 49.28 | | bus | 94.05 | 96.47 | | towel | 75.67 | 88.75 | | light | 67.57 | 78.36 | | truck | 39.87 | 50.83 | | tower | 20.63 | 33.83 | | chandelier | 71.06 | 89.27 | | awning | 39.1 | 52.17 | | streetlight | 46.53 | 66.76 | | booth | 57.56 | 59.77 | | television receiver | 79.68 | 88.94 | | airplane | 72.24 | 76.52 | | dirt track | 6.32 | 30.4 | | apparel | 48.26 | 62.61 | | pole | 34.43 | 52.82 | | land | 3.27 | 4.53 | | bannister | 18.95 | 37.1 | | escalator | 23.01 | 26.93 | | ottoman | 49.92 | 75.2 | | bottle | 42.08 | 64.93 | | buffet | 27.2 | 30.26 | | poster | 31.02 | 48.08 | | stage | 25.28 | 45.08 | | van | 46.09 | 70.86 | | ship | 6.19 | 14.53 | | fountain | 21.55 | 21.87 | | conveyer belt | 66.24 | 90.12 | | canopy | 29.32 | 52.93 | | washer | 70.59 | 72.87 | | plaything | 50.24 | 72.83 | | swimming pool | 64.7 | 72.98 | | stool | 52.09 | 67.02 | | barrel | 86.36 | 98.6 | | basket | 44.18 | 62.61 | | waterfall | 41.0 | 56.76 | | tent | 88.76 | 98.19 | | bag | 23.01 | 32.25 | | minibike | 72.93 | 90.74 | | cradle | 90.28 | 97.18 | | oven | 25.87 | 74.23 | | ball | 39.0 | 43.98 | | food | 59.7 | 66.44 | | step | 26.33 | 41.6 | | tank | 62.68 | 65.34 | | trade name | 37.09 | 48.44 | | microwave | 43.61 | 45.92 | | pot | 58.88 | 72.29 | | animal | 64.13 | 65.51 | | bicycle | 59.83 | 80.59 | | lake | 54.04 | 63.6 | | dishwasher | 79.55 | 89.17 | | screen | 57.44 | 92.11 | | blanket | 40.26 | 51.1 | | sculpture | 72.4 | 89.52 | | hood | 66.58 | 77.74 | | sconce | 62.86 | 74.15 | | vase | 56.58 | 76.56 | | traffic light | 45.0 | 71.57 | | tray | 19.67 | 39.97 | | ashcan | 52.75 | 74.24 | | fan | 72.57 | 88.23 | | pier | 37.7 | 40.0 | | crt screen | 4.45 | 13.4 | | plate | 63.17 | 84.94 | | monitor | 2.31 | 2.66 | | bulletin board | 52.28 | 81.3 | | shower | 6.52 | 25.9 | | radiator | 65.52 | 80.75 | | glass | 24.93 | 27.47 | | clock | 55.0 | 71.81 | | flag | 50.23 | 58.47 | +---------------------+-------+-------+ 2023-11-22 12:54:01,961 - mmseg - INFO - Summary: 2023-11-22 12:54:01,961 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.82 | 54.27 | 67.89 | +-------+-------+-------+ 2023-11-22 12:54:01,962 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 12:54:01,962 - mmseg - INFO - Iter(val) [250] aAcc: 0.8482, mIoU: 0.5427, mAcc: 0.6789, IoU.wall: 0.8088, IoU.building: 0.8335, IoU.sky: 0.9508, IoU.floor: 0.8442, IoU.tree: 0.7583, IoU.ceiling: 0.8580, IoU.road: 0.8671, IoU.bed : 0.9209, IoU.windowpane: 0.6466, IoU.grass: 0.6744, IoU.cabinet: 0.6226, IoU.sidewalk: 0.6833, IoU.person: 0.8627, IoU.earth: 0.3681, IoU.door: 0.5447, IoU.table: 0.7101, IoU.mountain: 0.5961, IoU.plant: 0.5375, IoU.curtain: 0.7438, IoU.chair: 0.6770, IoU.car: 0.8750, IoU.water: 0.5633, IoU.painting: 0.7449, IoU.sofa: 0.7893, IoU.shelf: 0.4591, IoU.house: 0.4210, IoU.sea: 0.6391, IoU.mirror: 0.7301, IoU.rug: 0.6747, IoU.field: 0.3439, IoU.armchair: 0.5679, IoU.seat: 0.6396, IoU.fence: 0.4931, IoU.desk: 0.5786, IoU.rock: 0.4241, IoU.wardrobe: 0.4393, IoU.lamp: 0.7316, IoU.bathtub: 0.8032, IoU.railing: 0.3684, IoU.cushion: 0.6768, IoU.base: 0.4644, IoU.box: 0.3517, IoU.column: 0.4987, IoU.signboard: 0.4221, IoU.chest of drawers: 0.4316, IoU.counter: 0.4815, IoU.sand: 0.3659, IoU.sink: 0.7974, IoU.skyscraper: 0.6511, IoU.fireplace: 0.7759, IoU.refrigerator: 0.7919, IoU.grandstand: 0.4630, IoU.path: 0.2222, IoU.stairs: 0.1469, IoU.runway: 0.7644, IoU.case: 0.5852, IoU.pool table: 0.8529, IoU.pillow: 0.6086, IoU.screen door: 0.7683, IoU.stairway: 0.2666, IoU.river: 0.1222, IoU.bridge: 0.8246, IoU.bookcase: 0.3319, IoU.blind: 0.4185, IoU.coffee table: 0.7355, IoU.toilet: 0.9090, IoU.flower: 0.4369, IoU.book: 0.5511, IoU.hill: 0.0871, IoU.bench: 0.5820, IoU.countertop: 0.5571, IoU.stove: 0.8456, IoU.palm: 0.5321, IoU.kitchen island: 0.5389, IoU.computer: 0.7735, IoU.swivel chair: 0.5505, IoU.boat: 0.5185, IoU.bar: 0.5624, IoU.arcade machine: 0.4631, IoU.hovel: 0.4177, IoU.bus: 0.9405, IoU.towel: 0.7567, IoU.light: 0.6757, IoU.truck: 0.3987, IoU.tower: 0.2063, IoU.chandelier: 0.7106, IoU.awning: 0.3910, IoU.streetlight: 0.4653, IoU.booth: 0.5756, IoU.television receiver: 0.7968, IoU.airplane: 0.7224, IoU.dirt track: 0.0632, IoU.apparel: 0.4826, IoU.pole: 0.3443, IoU.land: 0.0327, IoU.bannister: 0.1895, IoU.escalator: 0.2301, IoU.ottoman: 0.4992, IoU.bottle: 0.4208, IoU.buffet: 0.2720, IoU.poster: 0.3102, IoU.stage: 0.2528, IoU.van: 0.4609, IoU.ship: 0.0619, IoU.fountain: 0.2155, IoU.conveyer belt: 0.6624, IoU.canopy: 0.2932, IoU.washer: 0.7059, IoU.plaything: 0.5024, IoU.swimming pool: 0.6470, IoU.stool: 0.5209, IoU.barrel: 0.8636, IoU.basket: 0.4418, IoU.waterfall: 0.4100, IoU.tent: 0.8876, IoU.bag: 0.2301, IoU.minibike: 0.7293, IoU.cradle: 0.9028, IoU.oven: 0.2587, IoU.ball: 0.3900, IoU.food: 0.5970, IoU.step: 0.2633, IoU.tank: 0.6268, IoU.trade name: 0.3709, IoU.microwave: 0.4361, IoU.pot: 0.5888, IoU.animal: 0.6413, IoU.bicycle: 0.5983, IoU.lake: 0.5404, IoU.dishwasher: 0.7955, IoU.screen: 0.5744, IoU.blanket: 0.4026, IoU.sculpture: 0.7240, IoU.hood: 0.6658, IoU.sconce: 0.6286, IoU.vase: 0.5658, IoU.traffic light: 0.4500, IoU.tray: 0.1967, IoU.ashcan: 0.5275, IoU.fan: 0.7257, IoU.pier: 0.3770, IoU.crt screen: 0.0445, IoU.plate: 0.6317, IoU.monitor: 0.0231, IoU.bulletin board: 0.5228, IoU.shower: 0.0652, IoU.radiator: 0.6552, IoU.glass: 0.2493, IoU.clock: 0.5500, IoU.flag: 0.5023, Acc.wall: 0.8823, Acc.building: 0.9201, Acc.sky: 0.9793, Acc.floor: 0.9107, Acc.tree: 0.8804, Acc.ceiling: 0.9259, Acc.road: 0.9235, Acc.bed : 0.9611, Acc.windowpane: 0.8212, Acc.grass: 0.8251, Acc.cabinet: 0.7574, Acc.sidewalk: 0.8074, Acc.person: 0.9388, Acc.earth: 0.5080, Acc.door: 0.6789, Acc.table: 0.8392, Acc.mountain: 0.7465, Acc.plant: 0.6567, Acc.curtain: 0.8676, Acc.chair: 0.8107, Acc.car: 0.9371, Acc.water: 0.6975, Acc.painting: 0.8958, Acc.sofa: 0.8872, Acc.shelf: 0.6253, Acc.house: 0.6293, Acc.sea: 0.9046, Acc.mirror: 0.8491, Acc.rug: 0.8160, Acc.field: 0.5140, Acc.armchair: 0.7459, Acc.seat: 0.8892, Acc.fence: 0.6179, Acc.desk: 0.7776, Acc.rock: 0.5605, Acc.wardrobe: 0.7091, Acc.lamp: 0.8257, Acc.bathtub: 0.8738, Acc.railing: 0.5200, Acc.cushion: 0.8014, Acc.base: 0.6912, Acc.box: 0.4688, Acc.column: 0.7276, Acc.signboard: 0.5751, Acc.chest of drawers: 0.6599, Acc.counter: 0.6045, Acc.sand: 0.5134, Acc.sink: 0.8787, Acc.skyscraper: 0.7887, Acc.fireplace: 0.9202, Acc.refrigerator: 0.8416, Acc.grandstand: 0.7740, Acc.path: 0.4158, Acc.stairs: 0.1680, Acc.runway: 0.9716, Acc.case: 0.8497, Acc.pool table: 0.9705, Acc.pillow: 0.7184, Acc.screen door: 0.8903, Acc.stairway: 0.5062, Acc.river: 0.1981, Acc.bridge: 0.9072, Acc.bookcase: 0.4562, Acc.blind: 0.4716, Acc.coffee table: 0.8562, Acc.toilet: 0.9362, Acc.flower: 0.6120, Acc.book: 0.7509, Acc.hill: 0.1466, Acc.bench: 0.6659, Acc.countertop: 0.7731, Acc.stove: 0.8954, Acc.palm: 0.8170, Acc.kitchen island: 0.7870, Acc.computer: 0.8672, Acc.swivel chair: 0.7599, Acc.boat: 0.5722, Acc.bar: 0.6164, Acc.arcade machine: 0.4915, Acc.hovel: 0.4928, Acc.bus: 0.9647, Acc.towel: 0.8875, Acc.light: 0.7836, Acc.truck: 0.5083, Acc.tower: 0.3383, Acc.chandelier: 0.8927, Acc.awning: 0.5217, Acc.streetlight: 0.6676, Acc.booth: 0.5977, Acc.television receiver: 0.8894, Acc.airplane: 0.7652, Acc.dirt track: 0.3040, Acc.apparel: 0.6261, Acc.pole: 0.5282, Acc.land: 0.0453, Acc.bannister: 0.3710, Acc.escalator: 0.2693, Acc.ottoman: 0.7520, Acc.bottle: 0.6493, Acc.buffet: 0.3026, Acc.poster: 0.4808, Acc.stage: 0.4508, Acc.van: 0.7086, Acc.ship: 0.1453, Acc.fountain: 0.2187, Acc.conveyer belt: 0.9012, Acc.canopy: 0.5293, Acc.washer: 0.7287, Acc.plaything: 0.7283, Acc.swimming pool: 0.7298, Acc.stool: 0.6702, Acc.barrel: 0.9860, Acc.basket: 0.6261, Acc.waterfall: 0.5676, Acc.tent: 0.9819, Acc.bag: 0.3225, Acc.minibike: 0.9074, Acc.cradle: 0.9718, Acc.oven: 0.7423, Acc.ball: 0.4398, Acc.food: 0.6644, Acc.step: 0.4160, Acc.tank: 0.6534, Acc.trade name: 0.4844, Acc.microwave: 0.4592, Acc.pot: 0.7229, Acc.animal: 0.6551, Acc.bicycle: 0.8059, Acc.lake: 0.6360, Acc.dishwasher: 0.8917, Acc.screen: 0.9211, Acc.blanket: 0.5110, Acc.sculpture: 0.8952, Acc.hood: 0.7774, Acc.sconce: 0.7415, Acc.vase: 0.7656, Acc.traffic light: 0.7157, Acc.tray: 0.3997, Acc.ashcan: 0.7424, Acc.fan: 0.8823, Acc.pier: 0.4000, Acc.crt screen: 0.1340, Acc.plate: 0.8494, Acc.monitor: 0.0266, Acc.bulletin board: 0.8130, Acc.shower: 0.2590, Acc.radiator: 0.8075, Acc.glass: 0.2747, Acc.clock: 0.7181, Acc.flag: 0.5847 2023-11-22 12:54:30,229 - mmseg - INFO - Iter [96050/160000] lr: 3.807e-06, eta: 10:25:12, time: 0.956, data_time: 0.403, memory: 38143, decode.loss_cls: 0.2202, decode.loss_mask: 0.4855, decode.loss_dice: 0.7225, decode.d0.loss_cls: 1.3025, decode.d0.loss_mask: 0.5215, decode.d0.loss_dice: 0.8017, decode.d1.loss_cls: 0.3037, decode.d1.loss_mask: 0.5062, decode.d1.loss_dice: 0.7566, decode.d2.loss_cls: 0.2557, decode.d2.loss_mask: 0.4955, decode.d2.loss_dice: 0.7356, decode.d3.loss_cls: 0.2304, decode.d3.loss_mask: 0.4921, decode.d3.loss_dice: 0.7323, decode.d4.loss_cls: 0.2312, decode.d4.loss_mask: 0.4876, decode.d4.loss_dice: 0.7280, decode.d5.loss_cls: 0.2226, decode.d5.loss_mask: 0.4879, decode.d5.loss_dice: 0.7258, decode.d6.loss_cls: 0.2207, decode.d6.loss_mask: 0.4874, decode.d6.loss_dice: 0.7211, decode.d7.loss_cls: 0.2183, decode.d7.loss_mask: 0.4864, decode.d7.loss_dice: 0.7235, decode.d8.loss_cls: 0.2182, decode.d8.loss_mask: 0.4864, decode.d8.loss_dice: 0.7230, loss: 15.7302, grad_norm: 68.4254 2023-11-22 12:54:58,464 - mmseg - INFO - Iter [96100/160000] lr: 3.804e-06, eta: 10:24:42, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2345, decode.loss_mask: 0.4743, decode.loss_dice: 0.7304, decode.d0.loss_cls: 1.3668, decode.d0.loss_mask: 0.5097, decode.d0.loss_dice: 0.8219, decode.d1.loss_cls: 0.3303, decode.d1.loss_mask: 0.4918, decode.d1.loss_dice: 0.7761, decode.d2.loss_cls: 0.2753, decode.d2.loss_mask: 0.4847, decode.d2.loss_dice: 0.7527, decode.d3.loss_cls: 0.2571, decode.d3.loss_mask: 0.4805, decode.d3.loss_dice: 0.7409, decode.d4.loss_cls: 0.2456, decode.d4.loss_mask: 0.4788, decode.d4.loss_dice: 0.7344, decode.d5.loss_cls: 0.2384, decode.d5.loss_mask: 0.4802, decode.d5.loss_dice: 0.7362, decode.d6.loss_cls: 0.2367, decode.d6.loss_mask: 0.4767, decode.d6.loss_dice: 0.7329, decode.d7.loss_cls: 0.2300, decode.d7.loss_mask: 0.4752, decode.d7.loss_dice: 0.7323, decode.d8.loss_cls: 0.2304, decode.d8.loss_mask: 0.4759, decode.d8.loss_dice: 0.7354, loss: 15.9661, grad_norm: 72.0634 2023-11-22 12:55:26,632 - mmseg - INFO - Iter [96150/160000] lr: 3.801e-06, eta: 10:24:12, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2332, decode.loss_mask: 0.4864, decode.loss_dice: 0.7312, decode.d0.loss_cls: 1.3437, decode.d0.loss_mask: 0.5193, decode.d0.loss_dice: 0.8097, decode.d1.loss_cls: 0.3186, decode.d1.loss_mask: 0.5059, decode.d1.loss_dice: 0.7669, decode.d2.loss_cls: 0.2677, decode.d2.loss_mask: 0.4971, decode.d2.loss_dice: 0.7490, decode.d3.loss_cls: 0.2463, decode.d3.loss_mask: 0.4885, decode.d3.loss_dice: 0.7364, decode.d4.loss_cls: 0.2408, decode.d4.loss_mask: 0.4876, decode.d4.loss_dice: 0.7371, decode.d5.loss_cls: 0.2407, decode.d5.loss_mask: 0.4870, decode.d5.loss_dice: 0.7336, decode.d6.loss_cls: 0.2378, decode.d6.loss_mask: 0.4856, decode.d6.loss_dice: 0.7310, decode.d7.loss_cls: 0.2334, decode.d7.loss_mask: 0.4851, decode.d7.loss_dice: 0.7293, decode.d8.loss_cls: 0.2310, decode.d8.loss_mask: 0.4863, decode.d8.loss_dice: 0.7316, loss: 15.9777, grad_norm: 69.9396 2023-11-22 12:55:55,165 - mmseg - INFO - Iter [96200/160000] lr: 3.798e-06, eta: 10:23:42, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2255, decode.loss_mask: 0.4757, decode.loss_dice: 0.6979, decode.d0.loss_cls: 1.3221, decode.d0.loss_mask: 0.5105, decode.d0.loss_dice: 0.7830, decode.d1.loss_cls: 0.3028, decode.d1.loss_mask: 0.4950, decode.d1.loss_dice: 0.7380, decode.d2.loss_cls: 0.2575, decode.d2.loss_mask: 0.4841, decode.d2.loss_dice: 0.7224, decode.d3.loss_cls: 0.2449, decode.d3.loss_mask: 0.4776, decode.d3.loss_dice: 0.7055, decode.d4.loss_cls: 0.2398, decode.d4.loss_mask: 0.4774, decode.d4.loss_dice: 0.7053, decode.d5.loss_cls: 0.2329, decode.d5.loss_mask: 0.4757, decode.d5.loss_dice: 0.7033, decode.d6.loss_cls: 0.2325, decode.d6.loss_mask: 0.4770, decode.d6.loss_dice: 0.7006, decode.d7.loss_cls: 0.2285, decode.d7.loss_mask: 0.4769, decode.d7.loss_dice: 0.7028, decode.d8.loss_cls: 0.2247, decode.d8.loss_mask: 0.4772, decode.d8.loss_dice: 0.7052, loss: 15.5025, grad_norm: 66.3864 2023-11-22 12:56:23,692 - mmseg - INFO - Iter [96250/160000] lr: 3.795e-06, eta: 10:23:12, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2256, decode.loss_mask: 0.4820, decode.loss_dice: 0.7337, decode.d0.loss_cls: 1.3045, decode.d0.loss_mask: 0.5146, decode.d0.loss_dice: 0.8143, decode.d1.loss_cls: 0.3075, decode.d1.loss_mask: 0.4979, decode.d1.loss_dice: 0.7705, decode.d2.loss_cls: 0.2694, decode.d2.loss_mask: 0.4843, decode.d2.loss_dice: 0.7480, decode.d3.loss_cls: 0.2497, decode.d3.loss_mask: 0.4834, decode.d3.loss_dice: 0.7423, decode.d4.loss_cls: 0.2430, decode.d4.loss_mask: 0.4812, decode.d4.loss_dice: 0.7400, decode.d5.loss_cls: 0.2378, decode.d5.loss_mask: 0.4823, decode.d5.loss_dice: 0.7391, decode.d6.loss_cls: 0.2358, decode.d6.loss_mask: 0.4830, decode.d6.loss_dice: 0.7308, decode.d7.loss_cls: 0.2308, decode.d7.loss_mask: 0.4842, decode.d7.loss_dice: 0.7327, decode.d8.loss_cls: 0.2260, decode.d8.loss_mask: 0.4823, decode.d8.loss_dice: 0.7326, loss: 15.8894, grad_norm: 68.0709 2023-11-22 12:56:52,388 - mmseg - INFO - Iter [96300/160000] lr: 3.792e-06, eta: 10:22:43, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2371, decode.loss_mask: 0.5055, decode.loss_dice: 0.7392, decode.d0.loss_cls: 1.3402, decode.d0.loss_mask: 0.5390, decode.d0.loss_dice: 0.8226, decode.d1.loss_cls: 0.3185, decode.d1.loss_mask: 0.5258, decode.d1.loss_dice: 0.7798, decode.d2.loss_cls: 0.2698, decode.d2.loss_mask: 0.5175, decode.d2.loss_dice: 0.7536, decode.d3.loss_cls: 0.2510, decode.d3.loss_mask: 0.5126, decode.d3.loss_dice: 0.7423, decode.d4.loss_cls: 0.2512, decode.d4.loss_mask: 0.5094, decode.d4.loss_dice: 0.7375, decode.d5.loss_cls: 0.2436, decode.d5.loss_mask: 0.5074, decode.d5.loss_dice: 0.7379, decode.d6.loss_cls: 0.2429, decode.d6.loss_mask: 0.5069, decode.d6.loss_dice: 0.7367, decode.d7.loss_cls: 0.2422, decode.d7.loss_mask: 0.5078, decode.d7.loss_dice: 0.7369, decode.d8.loss_cls: 0.2412, decode.d8.loss_mask: 0.5092, decode.d8.loss_dice: 0.7337, loss: 16.2988, grad_norm: 77.7608 2023-11-22 12:57:21,851 - mmseg - INFO - Iter [96350/160000] lr: 3.789e-06, eta: 10:22:13, time: 0.589, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2246, decode.loss_mask: 0.4804, decode.loss_dice: 0.7130, decode.d0.loss_cls: 1.3171, decode.d0.loss_mask: 0.5146, decode.d0.loss_dice: 0.7969, decode.d1.loss_cls: 0.3057, decode.d1.loss_mask: 0.4999, decode.d1.loss_dice: 0.7512, decode.d2.loss_cls: 0.2602, decode.d2.loss_mask: 0.4888, decode.d2.loss_dice: 0.7295, decode.d3.loss_cls: 0.2408, decode.d3.loss_mask: 0.4833, decode.d3.loss_dice: 0.7203, decode.d4.loss_cls: 0.2321, decode.d4.loss_mask: 0.4846, decode.d4.loss_dice: 0.7187, decode.d5.loss_cls: 0.2261, decode.d5.loss_mask: 0.4844, decode.d5.loss_dice: 0.7192, decode.d6.loss_cls: 0.2301, decode.d6.loss_mask: 0.4815, decode.d6.loss_dice: 0.7177, decode.d7.loss_cls: 0.2262, decode.d7.loss_mask: 0.4807, decode.d7.loss_dice: 0.7150, decode.d8.loss_cls: 0.2249, decode.d8.loss_mask: 0.4806, decode.d8.loss_dice: 0.7148, loss: 15.6628, grad_norm: 67.2780 2023-11-22 12:57:50,639 - mmseg - INFO - Iter [96400/160000] lr: 3.786e-06, eta: 10:21:44, time: 0.576, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2210, decode.loss_mask: 0.4825, decode.loss_dice: 0.7114, decode.d0.loss_cls: 1.3212, decode.d0.loss_mask: 0.5177, decode.d0.loss_dice: 0.7999, decode.d1.loss_cls: 0.3110, decode.d1.loss_mask: 0.5005, decode.d1.loss_dice: 0.7587, decode.d2.loss_cls: 0.2540, decode.d2.loss_mask: 0.4920, decode.d2.loss_dice: 0.7343, decode.d3.loss_cls: 0.2365, decode.d3.loss_mask: 0.4875, decode.d3.loss_dice: 0.7229, decode.d4.loss_cls: 0.2315, decode.d4.loss_mask: 0.4873, decode.d4.loss_dice: 0.7232, decode.d5.loss_cls: 0.2257, decode.d5.loss_mask: 0.4860, decode.d5.loss_dice: 0.7199, decode.d6.loss_cls: 0.2235, decode.d6.loss_mask: 0.4836, decode.d6.loss_dice: 0.7161, decode.d7.loss_cls: 0.2209, decode.d7.loss_mask: 0.4819, decode.d7.loss_dice: 0.7168, decode.d8.loss_cls: 0.2199, decode.d8.loss_mask: 0.4832, decode.d8.loss_dice: 0.7158, loss: 15.6863, grad_norm: 68.9642 2023-11-22 12:58:18,819 - mmseg - INFO - Iter [96450/160000] lr: 3.783e-06, eta: 10:21:14, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2190, decode.loss_mask: 0.4817, decode.loss_dice: 0.7061, decode.d0.loss_cls: 1.3333, decode.d0.loss_mask: 0.5142, decode.d0.loss_dice: 0.7850, decode.d1.loss_cls: 0.3070, decode.d1.loss_mask: 0.4984, decode.d1.loss_dice: 0.7378, decode.d2.loss_cls: 0.2551, decode.d2.loss_mask: 0.4898, decode.d2.loss_dice: 0.7217, decode.d3.loss_cls: 0.2345, decode.d3.loss_mask: 0.4851, decode.d3.loss_dice: 0.7057, decode.d4.loss_cls: 0.2319, decode.d4.loss_mask: 0.4834, decode.d4.loss_dice: 0.7084, decode.d5.loss_cls: 0.2310, decode.d5.loss_mask: 0.4826, decode.d5.loss_dice: 0.7036, decode.d6.loss_cls: 0.2261, decode.d6.loss_mask: 0.4806, decode.d6.loss_dice: 0.6987, decode.d7.loss_cls: 0.2192, decode.d7.loss_mask: 0.4818, decode.d7.loss_dice: 0.7009, decode.d8.loss_cls: 0.2203, decode.d8.loss_mask: 0.4808, decode.d8.loss_dice: 0.7072, loss: 15.5310, grad_norm: 71.6486 2023-11-22 12:58:47,234 - mmseg - INFO - Iter [96500/160000] lr: 3.780e-06, eta: 10:20:44, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2051, decode.loss_mask: 0.4733, decode.loss_dice: 0.7003, decode.d0.loss_cls: 1.3354, decode.d0.loss_mask: 0.5065, decode.d0.loss_dice: 0.7763, decode.d1.loss_cls: 0.2880, decode.d1.loss_mask: 0.4891, decode.d1.loss_dice: 0.7363, decode.d2.loss_cls: 0.2449, decode.d2.loss_mask: 0.4818, decode.d2.loss_dice: 0.7142, decode.d3.loss_cls: 0.2245, decode.d3.loss_mask: 0.4808, decode.d3.loss_dice: 0.7003, decode.d4.loss_cls: 0.2154, decode.d4.loss_mask: 0.4802, decode.d4.loss_dice: 0.7021, decode.d5.loss_cls: 0.2169, decode.d5.loss_mask: 0.4772, decode.d5.loss_dice: 0.6995, decode.d6.loss_cls: 0.2115, decode.d6.loss_mask: 0.4739, decode.d6.loss_dice: 0.6983, decode.d7.loss_cls: 0.2081, decode.d7.loss_mask: 0.4728, decode.d7.loss_dice: 0.6984, decode.d8.loss_cls: 0.2068, decode.d8.loss_mask: 0.4739, decode.d8.loss_dice: 0.7029, loss: 15.2947, grad_norm: 67.9306 2023-11-22 12:59:15,687 - mmseg - INFO - Iter [96550/160000] lr: 3.777e-06, eta: 10:20:14, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2310, decode.loss_mask: 0.4746, decode.loss_dice: 0.7491, decode.d0.loss_cls: 1.3498, decode.d0.loss_mask: 0.5119, decode.d0.loss_dice: 0.8324, decode.d1.loss_cls: 0.3208, decode.d1.loss_mask: 0.4936, decode.d1.loss_dice: 0.7926, decode.d2.loss_cls: 0.2698, decode.d2.loss_mask: 0.4840, decode.d2.loss_dice: 0.7715, decode.d3.loss_cls: 0.2557, decode.d3.loss_mask: 0.4779, decode.d3.loss_dice: 0.7553, decode.d4.loss_cls: 0.2476, decode.d4.loss_mask: 0.4756, decode.d4.loss_dice: 0.7569, decode.d5.loss_cls: 0.2438, decode.d5.loss_mask: 0.4774, decode.d5.loss_dice: 0.7560, decode.d6.loss_cls: 0.2414, decode.d6.loss_mask: 0.4749, decode.d6.loss_dice: 0.7483, decode.d7.loss_cls: 0.2344, decode.d7.loss_mask: 0.4744, decode.d7.loss_dice: 0.7512, decode.d8.loss_cls: 0.2318, decode.d8.loss_mask: 0.4734, decode.d8.loss_dice: 0.7536, loss: 16.1107, grad_norm: 67.9760 2023-11-22 12:59:43,926 - mmseg - INFO - Iter [96600/160000] lr: 3.774e-06, eta: 10:19:44, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2323, decode.loss_mask: 0.4793, decode.loss_dice: 0.7252, decode.d0.loss_cls: 1.3155, decode.d0.loss_mask: 0.5144, decode.d0.loss_dice: 0.8065, decode.d1.loss_cls: 0.3067, decode.d1.loss_mask: 0.4994, decode.d1.loss_dice: 0.7665, decode.d2.loss_cls: 0.2688, decode.d2.loss_mask: 0.4864, decode.d2.loss_dice: 0.7402, decode.d3.loss_cls: 0.2542, decode.d3.loss_mask: 0.4791, decode.d3.loss_dice: 0.7299, decode.d4.loss_cls: 0.2430, decode.d4.loss_mask: 0.4805, decode.d4.loss_dice: 0.7316, decode.d5.loss_cls: 0.2427, decode.d5.loss_mask: 0.4815, decode.d5.loss_dice: 0.7276, decode.d6.loss_cls: 0.2395, decode.d6.loss_mask: 0.4789, decode.d6.loss_dice: 0.7223, decode.d7.loss_cls: 0.2367, decode.d7.loss_mask: 0.4798, decode.d7.loss_dice: 0.7231, decode.d8.loss_cls: 0.2354, decode.d8.loss_mask: 0.4801, decode.d8.loss_dice: 0.7258, loss: 15.8329, grad_norm: 64.6706 2023-11-22 13:00:12,162 - mmseg - INFO - Iter [96650/160000] lr: 3.771e-06, eta: 10:19:14, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2407, decode.loss_mask: 0.5150, decode.loss_dice: 0.7426, decode.d0.loss_cls: 1.3367, decode.d0.loss_mask: 0.5640, decode.d0.loss_dice: 0.8350, decode.d1.loss_cls: 0.3230, decode.d1.loss_mask: 0.5363, decode.d1.loss_dice: 0.7934, decode.d2.loss_cls: 0.2733, decode.d2.loss_mask: 0.5230, decode.d2.loss_dice: 0.7649, decode.d3.loss_cls: 0.2559, decode.d3.loss_mask: 0.5184, decode.d3.loss_dice: 0.7476, decode.d4.loss_cls: 0.2487, decode.d4.loss_mask: 0.5190, decode.d4.loss_dice: 0.7482, decode.d5.loss_cls: 0.2478, decode.d5.loss_mask: 0.5168, decode.d5.loss_dice: 0.7451, decode.d6.loss_cls: 0.2453, decode.d6.loss_mask: 0.5162, decode.d6.loss_dice: 0.7414, decode.d7.loss_cls: 0.2409, decode.d7.loss_mask: 0.5149, decode.d7.loss_dice: 0.7420, decode.d8.loss_cls: 0.2402, decode.d8.loss_mask: 0.5147, decode.d8.loss_dice: 0.7450, loss: 16.4960, grad_norm: 72.2846 2023-11-22 13:00:40,490 - mmseg - INFO - Iter [96700/160000] lr: 3.768e-06, eta: 10:18:44, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2251, decode.loss_mask: 0.4671, decode.loss_dice: 0.7259, decode.d0.loss_cls: 1.3282, decode.d0.loss_mask: 0.5024, decode.d0.loss_dice: 0.8113, decode.d1.loss_cls: 0.3105, decode.d1.loss_mask: 0.4867, decode.d1.loss_dice: 0.7690, decode.d2.loss_cls: 0.2694, decode.d2.loss_mask: 0.4768, decode.d2.loss_dice: 0.7478, decode.d3.loss_cls: 0.2477, decode.d3.loss_mask: 0.4723, decode.d3.loss_dice: 0.7357, decode.d4.loss_cls: 0.2417, decode.d4.loss_mask: 0.4711, decode.d4.loss_dice: 0.7292, decode.d5.loss_cls: 0.2352, decode.d5.loss_mask: 0.4714, decode.d5.loss_dice: 0.7295, decode.d6.loss_cls: 0.2302, decode.d6.loss_mask: 0.4703, decode.d6.loss_dice: 0.7255, decode.d7.loss_cls: 0.2308, decode.d7.loss_mask: 0.4690, decode.d7.loss_dice: 0.7288, decode.d8.loss_cls: 0.2251, decode.d8.loss_mask: 0.4690, decode.d8.loss_dice: 0.7296, loss: 15.7326, grad_norm: 64.7818 2023-11-22 13:01:08,728 - mmseg - INFO - Iter [96750/160000] lr: 3.765e-06, eta: 10:18:14, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2351, decode.loss_mask: 0.4997, decode.loss_dice: 0.7259, decode.d0.loss_cls: 1.3266, decode.d0.loss_mask: 0.5393, decode.d0.loss_dice: 0.8155, decode.d1.loss_cls: 0.3177, decode.d1.loss_mask: 0.5220, decode.d1.loss_dice: 0.7729, decode.d2.loss_cls: 0.2679, decode.d2.loss_mask: 0.5095, decode.d2.loss_dice: 0.7510, decode.d3.loss_cls: 0.2498, decode.d3.loss_mask: 0.5024, decode.d3.loss_dice: 0.7395, decode.d4.loss_cls: 0.2454, decode.d4.loss_mask: 0.5044, decode.d4.loss_dice: 0.7365, decode.d5.loss_cls: 0.2386, decode.d5.loss_mask: 0.5023, decode.d5.loss_dice: 0.7292, decode.d6.loss_cls: 0.2386, decode.d6.loss_mask: 0.5007, decode.d6.loss_dice: 0.7305, decode.d7.loss_cls: 0.2384, decode.d7.loss_mask: 0.5000, decode.d7.loss_dice: 0.7273, decode.d8.loss_cls: 0.2318, decode.d8.loss_mask: 0.4996, decode.d8.loss_dice: 0.7261, loss: 16.1241, grad_norm: 69.6814 2023-11-22 13:01:37,223 - mmseg - INFO - Iter [96800/160000] lr: 3.762e-06, eta: 10:17:44, time: 0.570, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2247, decode.loss_mask: 0.4907, decode.loss_dice: 0.7394, decode.d0.loss_cls: 1.3075, decode.d0.loss_mask: 0.5259, decode.d0.loss_dice: 0.8206, decode.d1.loss_cls: 0.2964, decode.d1.loss_mask: 0.5083, decode.d1.loss_dice: 0.7732, decode.d2.loss_cls: 0.2550, decode.d2.loss_mask: 0.4962, decode.d2.loss_dice: 0.7511, decode.d3.loss_cls: 0.2450, decode.d3.loss_mask: 0.4918, decode.d3.loss_dice: 0.7393, decode.d4.loss_cls: 0.2377, decode.d4.loss_mask: 0.4915, decode.d4.loss_dice: 0.7394, decode.d5.loss_cls: 0.2288, decode.d5.loss_mask: 0.4912, decode.d5.loss_dice: 0.7373, decode.d6.loss_cls: 0.2279, decode.d6.loss_mask: 0.4899, decode.d6.loss_dice: 0.7375, decode.d7.loss_cls: 0.2260, decode.d7.loss_mask: 0.4920, decode.d7.loss_dice: 0.7403, decode.d8.loss_cls: 0.2216, decode.d8.loss_mask: 0.4905, decode.d8.loss_dice: 0.7402, loss: 15.9570, grad_norm: 72.3590 2023-11-22 13:02:05,465 - mmseg - INFO - Iter [96850/160000] lr: 3.759e-06, eta: 10:17:14, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2425, decode.loss_mask: 0.4861, decode.loss_dice: 0.7251, decode.d0.loss_cls: 1.3424, decode.d0.loss_mask: 0.5135, decode.d0.loss_dice: 0.8088, decode.d1.loss_cls: 0.3338, decode.d1.loss_mask: 0.5046, decode.d1.loss_dice: 0.7610, decode.d2.loss_cls: 0.2770, decode.d2.loss_mask: 0.4914, decode.d2.loss_dice: 0.7456, decode.d3.loss_cls: 0.2579, decode.d3.loss_mask: 0.4876, decode.d3.loss_dice: 0.7257, decode.d4.loss_cls: 0.2514, decode.d4.loss_mask: 0.4845, decode.d4.loss_dice: 0.7320, decode.d5.loss_cls: 0.2447, decode.d5.loss_mask: 0.4847, decode.d5.loss_dice: 0.7311, decode.d6.loss_cls: 0.2459, decode.d6.loss_mask: 0.4832, decode.d6.loss_dice: 0.7284, decode.d7.loss_cls: 0.2410, decode.d7.loss_mask: 0.4852, decode.d7.loss_dice: 0.7301, decode.d8.loss_cls: 0.2418, decode.d8.loss_mask: 0.4843, decode.d8.loss_dice: 0.7282, loss: 15.9995, grad_norm: 69.5042 2023-11-22 13:02:33,636 - mmseg - INFO - Iter [96900/160000] lr: 3.756e-06, eta: 10:16:44, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2054, decode.loss_mask: 0.4686, decode.loss_dice: 0.7054, decode.d0.loss_cls: 1.3292, decode.d0.loss_mask: 0.5032, decode.d0.loss_dice: 0.7825, decode.d1.loss_cls: 0.2897, decode.d1.loss_mask: 0.4905, decode.d1.loss_dice: 0.7476, decode.d2.loss_cls: 0.2501, decode.d2.loss_mask: 0.4793, decode.d2.loss_dice: 0.7291, decode.d3.loss_cls: 0.2243, decode.d3.loss_mask: 0.4745, decode.d3.loss_dice: 0.7126, decode.d4.loss_cls: 0.2187, decode.d4.loss_mask: 0.4746, decode.d4.loss_dice: 0.7133, decode.d5.loss_cls: 0.2176, decode.d5.loss_mask: 0.4716, decode.d5.loss_dice: 0.7093, decode.d6.loss_cls: 0.2177, decode.d6.loss_mask: 0.4702, decode.d6.loss_dice: 0.7032, decode.d7.loss_cls: 0.2171, decode.d7.loss_mask: 0.4694, decode.d7.loss_dice: 0.7074, decode.d8.loss_cls: 0.2076, decode.d8.loss_mask: 0.4708, decode.d8.loss_dice: 0.7066, loss: 15.3671, grad_norm: 70.5635 2023-11-22 13:03:01,948 - mmseg - INFO - Iter [96950/160000] lr: 3.753e-06, eta: 10:16:14, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2300, decode.loss_mask: 0.4633, decode.loss_dice: 0.7196, decode.d0.loss_cls: 1.3650, decode.d0.loss_mask: 0.5060, decode.d0.loss_dice: 0.8081, decode.d1.loss_cls: 0.3159, decode.d1.loss_mask: 0.4824, decode.d1.loss_dice: 0.7572, decode.d2.loss_cls: 0.2642, decode.d2.loss_mask: 0.4711, decode.d2.loss_dice: 0.7401, decode.d3.loss_cls: 0.2497, decode.d3.loss_mask: 0.4670, decode.d3.loss_dice: 0.7214, decode.d4.loss_cls: 0.2399, decode.d4.loss_mask: 0.4651, decode.d4.loss_dice: 0.7270, decode.d5.loss_cls: 0.2348, decode.d5.loss_mask: 0.4651, decode.d5.loss_dice: 0.7225, decode.d6.loss_cls: 0.2341, decode.d6.loss_mask: 0.4618, decode.d6.loss_dice: 0.7153, decode.d7.loss_cls: 0.2315, decode.d7.loss_mask: 0.4620, decode.d7.loss_dice: 0.7224, decode.d8.loss_cls: 0.2250, decode.d8.loss_mask: 0.4644, decode.d8.loss_dice: 0.7242, loss: 15.6563, grad_norm: 65.9325 2023-11-22 13:03:30,334 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 13:03:30,334 - mmseg - INFO - Iter [97000/160000] lr: 3.750e-06, eta: 10:15:44, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2297, decode.loss_mask: 0.4748, decode.loss_dice: 0.7292, decode.d0.loss_cls: 1.3475, decode.d0.loss_mask: 0.5084, decode.d0.loss_dice: 0.8135, decode.d1.loss_cls: 0.3091, decode.d1.loss_mask: 0.4939, decode.d1.loss_dice: 0.7720, decode.d2.loss_cls: 0.2576, decode.d2.loss_mask: 0.4865, decode.d2.loss_dice: 0.7529, decode.d3.loss_cls: 0.2454, decode.d3.loss_mask: 0.4809, decode.d3.loss_dice: 0.7380, decode.d4.loss_cls: 0.2372, decode.d4.loss_mask: 0.4790, decode.d4.loss_dice: 0.7380, decode.d5.loss_cls: 0.2320, decode.d5.loss_mask: 0.4797, decode.d5.loss_dice: 0.7366, decode.d6.loss_cls: 0.2333, decode.d6.loss_mask: 0.4784, decode.d6.loss_dice: 0.7310, decode.d7.loss_cls: 0.2300, decode.d7.loss_mask: 0.4769, decode.d7.loss_dice: 0.7333, decode.d8.loss_cls: 0.2307, decode.d8.loss_mask: 0.4769, decode.d8.loss_dice: 0.7286, loss: 15.8609, grad_norm: 75.1432 2023-11-22 13:03:58,696 - mmseg - INFO - Iter [97050/160000] lr: 3.747e-06, eta: 10:15:14, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2316, decode.loss_mask: 0.4789, decode.loss_dice: 0.7269, decode.d0.loss_cls: 1.3238, decode.d0.loss_mask: 0.5150, decode.d0.loss_dice: 0.8090, decode.d1.loss_cls: 0.3073, decode.d1.loss_mask: 0.5008, decode.d1.loss_dice: 0.7742, decode.d2.loss_cls: 0.2732, decode.d2.loss_mask: 0.4878, decode.d2.loss_dice: 0.7456, decode.d3.loss_cls: 0.2478, decode.d3.loss_mask: 0.4834, decode.d3.loss_dice: 0.7356, decode.d4.loss_cls: 0.2482, decode.d4.loss_mask: 0.4815, decode.d4.loss_dice: 0.7401, decode.d5.loss_cls: 0.2350, decode.d5.loss_mask: 0.4807, decode.d5.loss_dice: 0.7379, decode.d6.loss_cls: 0.2325, decode.d6.loss_mask: 0.4804, decode.d6.loss_dice: 0.7312, decode.d7.loss_cls: 0.2313, decode.d7.loss_mask: 0.4785, decode.d7.loss_dice: 0.7275, decode.d8.loss_cls: 0.2301, decode.d8.loss_mask: 0.4790, decode.d8.loss_dice: 0.7274, loss: 15.8824, grad_norm: 67.8690 2023-11-22 13:04:27,309 - mmseg - INFO - Iter [97100/160000] lr: 3.745e-06, eta: 10:14:44, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2347, decode.loss_mask: 0.5104, decode.loss_dice: 0.7406, decode.d0.loss_cls: 1.3220, decode.d0.loss_mask: 0.5492, decode.d0.loss_dice: 0.8238, decode.d1.loss_cls: 0.3145, decode.d1.loss_mask: 0.5293, decode.d1.loss_dice: 0.7846, decode.d2.loss_cls: 0.2724, decode.d2.loss_mask: 0.5169, decode.d2.loss_dice: 0.7609, decode.d3.loss_cls: 0.2575, decode.d3.loss_mask: 0.5127, decode.d3.loss_dice: 0.7464, decode.d4.loss_cls: 0.2480, decode.d4.loss_mask: 0.5113, decode.d4.loss_dice: 0.7468, decode.d5.loss_cls: 0.2460, decode.d5.loss_mask: 0.5133, decode.d5.loss_dice: 0.7422, decode.d6.loss_cls: 0.2438, decode.d6.loss_mask: 0.5107, decode.d6.loss_dice: 0.7406, decode.d7.loss_cls: 0.2360, decode.d7.loss_mask: 0.5117, decode.d7.loss_dice: 0.7431, decode.d8.loss_cls: 0.2392, decode.d8.loss_mask: 0.5100, decode.d8.loss_dice: 0.7431, loss: 16.3617, grad_norm: 73.4640 2023-11-22 13:04:55,626 - mmseg - INFO - Iter [97150/160000] lr: 3.742e-06, eta: 10:14:14, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2400, decode.loss_mask: 0.4762, decode.loss_dice: 0.7390, decode.d0.loss_cls: 1.3418, decode.d0.loss_mask: 0.5078, decode.d0.loss_dice: 0.8161, decode.d1.loss_cls: 0.3270, decode.d1.loss_mask: 0.4953, decode.d1.loss_dice: 0.7764, decode.d2.loss_cls: 0.2784, decode.d2.loss_mask: 0.4853, decode.d2.loss_dice: 0.7571, decode.d3.loss_cls: 0.2591, decode.d3.loss_mask: 0.4799, decode.d3.loss_dice: 0.7409, decode.d4.loss_cls: 0.2506, decode.d4.loss_mask: 0.4793, decode.d4.loss_dice: 0.7460, decode.d5.loss_cls: 0.2457, decode.d5.loss_mask: 0.4766, decode.d5.loss_dice: 0.7435, decode.d6.loss_cls: 0.2470, decode.d6.loss_mask: 0.4781, decode.d6.loss_dice: 0.7412, decode.d7.loss_cls: 0.2431, decode.d7.loss_mask: 0.4754, decode.d7.loss_dice: 0.7361, decode.d8.loss_cls: 0.2408, decode.d8.loss_mask: 0.4758, decode.d8.loss_dice: 0.7416, loss: 16.0411, grad_norm: 67.3103 2023-11-22 13:05:23,833 - mmseg - INFO - Iter [97200/160000] lr: 3.739e-06, eta: 10:13:44, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2399, decode.loss_mask: 0.4903, decode.loss_dice: 0.7226, decode.d0.loss_cls: 1.3591, decode.d0.loss_mask: 0.5287, decode.d0.loss_dice: 0.8120, decode.d1.loss_cls: 0.3374, decode.d1.loss_mask: 0.5087, decode.d1.loss_dice: 0.7708, decode.d2.loss_cls: 0.2807, decode.d2.loss_mask: 0.4984, decode.d2.loss_dice: 0.7465, decode.d3.loss_cls: 0.2598, decode.d3.loss_mask: 0.4926, decode.d3.loss_dice: 0.7324, decode.d4.loss_cls: 0.2537, decode.d4.loss_mask: 0.4890, decode.d4.loss_dice: 0.7264, decode.d5.loss_cls: 0.2489, decode.d5.loss_mask: 0.4894, decode.d5.loss_dice: 0.7238, decode.d6.loss_cls: 0.2485, decode.d6.loss_mask: 0.4895, decode.d6.loss_dice: 0.7216, decode.d7.loss_cls: 0.2433, decode.d7.loss_mask: 0.4902, decode.d7.loss_dice: 0.7260, decode.d8.loss_cls: 0.2453, decode.d8.loss_mask: 0.4896, decode.d8.loss_dice: 0.7220, loss: 16.0869, grad_norm: 71.0372 2023-11-22 13:05:52,177 - mmseg - INFO - Iter [97250/160000] lr: 3.736e-06, eta: 10:13:14, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2491, decode.loss_mask: 0.4899, decode.loss_dice: 0.7351, decode.d0.loss_cls: 1.3723, decode.d0.loss_mask: 0.5278, decode.d0.loss_dice: 0.8170, decode.d1.loss_cls: 0.3280, decode.d1.loss_mask: 0.5066, decode.d1.loss_dice: 0.7728, decode.d2.loss_cls: 0.2812, decode.d2.loss_mask: 0.5007, decode.d2.loss_dice: 0.7525, decode.d3.loss_cls: 0.2625, decode.d3.loss_mask: 0.4983, decode.d3.loss_dice: 0.7469, decode.d4.loss_cls: 0.2591, decode.d4.loss_mask: 0.4957, decode.d4.loss_dice: 0.7427, decode.d5.loss_cls: 0.2636, decode.d5.loss_mask: 0.4943, decode.d5.loss_dice: 0.7370, decode.d6.loss_cls: 0.2522, decode.d6.loss_mask: 0.4939, decode.d6.loss_dice: 0.7344, decode.d7.loss_cls: 0.2514, decode.d7.loss_mask: 0.4905, decode.d7.loss_dice: 0.7330, decode.d8.loss_cls: 0.2528, decode.d8.loss_mask: 0.4902, decode.d8.loss_dice: 0.7330, loss: 16.2645, grad_norm: 69.3982 2023-11-22 13:06:23,123 - mmseg - INFO - Iter [97300/160000] lr: 3.733e-06, eta: 10:12:46, time: 0.619, data_time: 0.060, memory: 38143, decode.loss_cls: 0.2273, decode.loss_mask: 0.4652, decode.loss_dice: 0.7159, decode.d0.loss_cls: 1.3141, decode.d0.loss_mask: 0.4971, decode.d0.loss_dice: 0.7989, decode.d1.loss_cls: 0.3080, decode.d1.loss_mask: 0.4856, decode.d1.loss_dice: 0.7578, decode.d2.loss_cls: 0.2567, decode.d2.loss_mask: 0.4739, decode.d2.loss_dice: 0.7374, decode.d3.loss_cls: 0.2405, decode.d3.loss_mask: 0.4707, decode.d3.loss_dice: 0.7194, decode.d4.loss_cls: 0.2367, decode.d4.loss_mask: 0.4684, decode.d4.loss_dice: 0.7199, decode.d5.loss_cls: 0.2343, decode.d5.loss_mask: 0.4681, decode.d5.loss_dice: 0.7207, decode.d6.loss_cls: 0.2325, decode.d6.loss_mask: 0.4667, decode.d6.loss_dice: 0.7160, decode.d7.loss_cls: 0.2275, decode.d7.loss_mask: 0.4651, decode.d7.loss_dice: 0.7150, decode.d8.loss_cls: 0.2268, decode.d8.loss_mask: 0.4663, decode.d8.loss_dice: 0.7185, loss: 15.5509, grad_norm: 67.6576 2023-11-22 13:06:51,560 - mmseg - INFO - Iter [97350/160000] lr: 3.730e-06, eta: 10:12:16, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2200, decode.loss_mask: 0.4847, decode.loss_dice: 0.7174, decode.d0.loss_cls: 1.3077, decode.d0.loss_mask: 0.5156, decode.d0.loss_dice: 0.7955, decode.d1.loss_cls: 0.2978, decode.d1.loss_mask: 0.5030, decode.d1.loss_dice: 0.7607, decode.d2.loss_cls: 0.2506, decode.d2.loss_mask: 0.4918, decode.d2.loss_dice: 0.7365, decode.d3.loss_cls: 0.2303, decode.d3.loss_mask: 0.4900, decode.d3.loss_dice: 0.7250, decode.d4.loss_cls: 0.2334, decode.d4.loss_mask: 0.4871, decode.d4.loss_dice: 0.7180, decode.d5.loss_cls: 0.2261, decode.d5.loss_mask: 0.4876, decode.d5.loss_dice: 0.7221, decode.d6.loss_cls: 0.2227, decode.d6.loss_mask: 0.4852, decode.d6.loss_dice: 0.7165, decode.d7.loss_cls: 0.2239, decode.d7.loss_mask: 0.4853, decode.d7.loss_dice: 0.7173, decode.d8.loss_cls: 0.2191, decode.d8.loss_mask: 0.4854, decode.d8.loss_dice: 0.7194, loss: 15.6756, grad_norm: 67.5620 2023-11-22 13:07:20,213 - mmseg - INFO - Iter [97400/160000] lr: 3.727e-06, eta: 10:11:46, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2301, decode.loss_mask: 0.4708, decode.loss_dice: 0.7177, decode.d0.loss_cls: 1.3195, decode.d0.loss_mask: 0.4952, decode.d0.loss_dice: 0.8047, decode.d1.loss_cls: 0.3081, decode.d1.loss_mask: 0.4863, decode.d1.loss_dice: 0.7585, decode.d2.loss_cls: 0.2621, decode.d2.loss_mask: 0.4777, decode.d2.loss_dice: 0.7418, decode.d3.loss_cls: 0.2445, decode.d3.loss_mask: 0.4730, decode.d3.loss_dice: 0.7261, decode.d4.loss_cls: 0.2345, decode.d4.loss_mask: 0.4713, decode.d4.loss_dice: 0.7280, decode.d5.loss_cls: 0.2348, decode.d5.loss_mask: 0.4716, decode.d5.loss_dice: 0.7214, decode.d6.loss_cls: 0.2313, decode.d6.loss_mask: 0.4703, decode.d6.loss_dice: 0.7223, decode.d7.loss_cls: 0.2334, decode.d7.loss_mask: 0.4694, decode.d7.loss_dice: 0.7153, decode.d8.loss_cls: 0.2287, decode.d8.loss_mask: 0.4700, decode.d8.loss_dice: 0.7180, loss: 15.6363, grad_norm: 67.6647 2023-11-22 13:07:48,487 - mmseg - INFO - Iter [97450/160000] lr: 3.724e-06, eta: 10:11:16, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2208, decode.loss_mask: 0.4780, decode.loss_dice: 0.7147, decode.d0.loss_cls: 1.3202, decode.d0.loss_mask: 0.5177, decode.d0.loss_dice: 0.7999, decode.d1.loss_cls: 0.3157, decode.d1.loss_mask: 0.4979, decode.d1.loss_dice: 0.7582, decode.d2.loss_cls: 0.2609, decode.d2.loss_mask: 0.4868, decode.d2.loss_dice: 0.7348, decode.d3.loss_cls: 0.2462, decode.d3.loss_mask: 0.4835, decode.d3.loss_dice: 0.7214, decode.d4.loss_cls: 0.2393, decode.d4.loss_mask: 0.4801, decode.d4.loss_dice: 0.7213, decode.d5.loss_cls: 0.2339, decode.d5.loss_mask: 0.4793, decode.d5.loss_dice: 0.7204, decode.d6.loss_cls: 0.2270, decode.d6.loss_mask: 0.4782, decode.d6.loss_dice: 0.7167, decode.d7.loss_cls: 0.2244, decode.d7.loss_mask: 0.4797, decode.d7.loss_dice: 0.7139, decode.d8.loss_cls: 0.2230, decode.d8.loss_mask: 0.4775, decode.d8.loss_dice: 0.7151, loss: 15.6863, grad_norm: 67.1860 2023-11-22 13:08:16,713 - mmseg - INFO - Iter [97500/160000] lr: 3.721e-06, eta: 10:10:46, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2278, decode.loss_mask: 0.4673, decode.loss_dice: 0.7116, decode.d0.loss_cls: 1.3536, decode.d0.loss_mask: 0.5037, decode.d0.loss_dice: 0.7925, decode.d1.loss_cls: 0.3129, decode.d1.loss_mask: 0.4871, decode.d1.loss_dice: 0.7559, decode.d2.loss_cls: 0.2662, decode.d2.loss_mask: 0.4767, decode.d2.loss_dice: 0.7309, decode.d3.loss_cls: 0.2471, decode.d3.loss_mask: 0.4706, decode.d3.loss_dice: 0.7182, decode.d4.loss_cls: 0.2372, decode.d4.loss_mask: 0.4699, decode.d4.loss_dice: 0.7171, decode.d5.loss_cls: 0.2364, decode.d5.loss_mask: 0.4701, decode.d5.loss_dice: 0.7162, decode.d6.loss_cls: 0.2287, decode.d6.loss_mask: 0.4710, decode.d6.loss_dice: 0.7129, decode.d7.loss_cls: 0.2245, decode.d7.loss_mask: 0.4697, decode.d7.loss_dice: 0.7126, decode.d8.loss_cls: 0.2284, decode.d8.loss_mask: 0.4684, decode.d8.loss_dice: 0.7176, loss: 15.6029, grad_norm: 69.4928 2023-11-22 13:08:45,041 - mmseg - INFO - Iter [97550/160000] lr: 3.718e-06, eta: 10:10:16, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2331, decode.loss_mask: 0.4701, decode.loss_dice: 0.7016, decode.d0.loss_cls: 1.3295, decode.d0.loss_mask: 0.5010, decode.d0.loss_dice: 0.7821, decode.d1.loss_cls: 0.3130, decode.d1.loss_mask: 0.4866, decode.d1.loss_dice: 0.7440, decode.d2.loss_cls: 0.2644, decode.d2.loss_mask: 0.4758, decode.d2.loss_dice: 0.7223, decode.d3.loss_cls: 0.2491, decode.d3.loss_mask: 0.4712, decode.d3.loss_dice: 0.7063, decode.d4.loss_cls: 0.2406, decode.d4.loss_mask: 0.4731, decode.d4.loss_dice: 0.7097, decode.d5.loss_cls: 0.2412, decode.d5.loss_mask: 0.4727, decode.d5.loss_dice: 0.7035, decode.d6.loss_cls: 0.2382, decode.d6.loss_mask: 0.4715, decode.d6.loss_dice: 0.7046, decode.d7.loss_cls: 0.2368, decode.d7.loss_mask: 0.4699, decode.d7.loss_dice: 0.7054, decode.d8.loss_cls: 0.2352, decode.d8.loss_mask: 0.4701, decode.d8.loss_dice: 0.7036, loss: 15.5261, grad_norm: 69.8467 2023-11-22 13:09:13,313 - mmseg - INFO - Iter [97600/160000] lr: 3.715e-06, eta: 10:09:46, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2170, decode.loss_mask: 0.4848, decode.loss_dice: 0.7047, decode.d0.loss_cls: 1.3449, decode.d0.loss_mask: 0.5178, decode.d0.loss_dice: 0.7775, decode.d1.loss_cls: 0.3057, decode.d1.loss_mask: 0.5027, decode.d1.loss_dice: 0.7384, decode.d2.loss_cls: 0.2592, decode.d2.loss_mask: 0.4952, decode.d2.loss_dice: 0.7218, decode.d3.loss_cls: 0.2398, decode.d3.loss_mask: 0.4920, decode.d3.loss_dice: 0.7149, decode.d4.loss_cls: 0.2265, decode.d4.loss_mask: 0.4906, decode.d4.loss_dice: 0.7100, decode.d5.loss_cls: 0.2235, decode.d5.loss_mask: 0.4881, decode.d5.loss_dice: 0.7071, decode.d6.loss_cls: 0.2180, decode.d6.loss_mask: 0.4883, decode.d6.loss_dice: 0.7068, decode.d7.loss_cls: 0.2179, decode.d7.loss_mask: 0.4859, decode.d7.loss_dice: 0.7073, decode.d8.loss_cls: 0.2150, decode.d8.loss_mask: 0.4854, decode.d8.loss_dice: 0.7041, loss: 15.5909, grad_norm: 73.3184 2023-11-22 13:09:41,673 - mmseg - INFO - Iter [97650/160000] lr: 3.712e-06, eta: 10:09:16, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2291, decode.loss_mask: 0.4670, decode.loss_dice: 0.7267, decode.d0.loss_cls: 1.3177, decode.d0.loss_mask: 0.5032, decode.d0.loss_dice: 0.8013, decode.d1.loss_cls: 0.3066, decode.d1.loss_mask: 0.4888, decode.d1.loss_dice: 0.7616, decode.d2.loss_cls: 0.2536, decode.d2.loss_mask: 0.4783, decode.d2.loss_dice: 0.7493, decode.d3.loss_cls: 0.2412, decode.d3.loss_mask: 0.4729, decode.d3.loss_dice: 0.7390, decode.d4.loss_cls: 0.2327, decode.d4.loss_mask: 0.4716, decode.d4.loss_dice: 0.7359, decode.d5.loss_cls: 0.2286, decode.d5.loss_mask: 0.4723, decode.d5.loss_dice: 0.7350, decode.d6.loss_cls: 0.2265, decode.d6.loss_mask: 0.4697, decode.d6.loss_dice: 0.7276, decode.d7.loss_cls: 0.2275, decode.d7.loss_mask: 0.4674, decode.d7.loss_dice: 0.7279, decode.d8.loss_cls: 0.2262, decode.d8.loss_mask: 0.4675, decode.d8.loss_dice: 0.7302, loss: 15.6830, grad_norm: 71.4399 2023-11-22 13:10:10,185 - mmseg - INFO - Iter [97700/160000] lr: 3.709e-06, eta: 10:08:47, time: 0.570, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2399, decode.loss_mask: 0.4793, decode.loss_dice: 0.7249, decode.d0.loss_cls: 1.3548, decode.d0.loss_mask: 0.5119, decode.d0.loss_dice: 0.8085, decode.d1.loss_cls: 0.3260, decode.d1.loss_mask: 0.5014, decode.d1.loss_dice: 0.7645, decode.d2.loss_cls: 0.2765, decode.d2.loss_mask: 0.4867, decode.d2.loss_dice: 0.7431, decode.d3.loss_cls: 0.2522, decode.d3.loss_mask: 0.4855, decode.d3.loss_dice: 0.7336, decode.d4.loss_cls: 0.2489, decode.d4.loss_mask: 0.4830, decode.d4.loss_dice: 0.7294, decode.d5.loss_cls: 0.2402, decode.d5.loss_mask: 0.4828, decode.d5.loss_dice: 0.7306, decode.d6.loss_cls: 0.2402, decode.d6.loss_mask: 0.4804, decode.d6.loss_dice: 0.7224, decode.d7.loss_cls: 0.2383, decode.d7.loss_mask: 0.4797, decode.d7.loss_dice: 0.7263, decode.d8.loss_cls: 0.2359, decode.d8.loss_mask: 0.4800, decode.d8.loss_dice: 0.7267, loss: 15.9336, grad_norm: 69.7192 2023-11-22 13:10:38,356 - mmseg - INFO - Iter [97750/160000] lr: 3.706e-06, eta: 10:08:16, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2370, decode.loss_mask: 0.4693, decode.loss_dice: 0.7210, decode.d0.loss_cls: 1.3365, decode.d0.loss_mask: 0.4961, decode.d0.loss_dice: 0.8051, decode.d1.loss_cls: 0.3169, decode.d1.loss_mask: 0.4853, decode.d1.loss_dice: 0.7659, decode.d2.loss_cls: 0.2792, decode.d2.loss_mask: 0.4719, decode.d2.loss_dice: 0.7437, decode.d3.loss_cls: 0.2562, decode.d3.loss_mask: 0.4711, decode.d3.loss_dice: 0.7292, decode.d4.loss_cls: 0.2549, decode.d4.loss_mask: 0.4699, decode.d4.loss_dice: 0.7298, decode.d5.loss_cls: 0.2452, decode.d5.loss_mask: 0.4689, decode.d5.loss_dice: 0.7337, decode.d6.loss_cls: 0.2433, decode.d6.loss_mask: 0.4682, decode.d6.loss_dice: 0.7217, decode.d7.loss_cls: 0.2436, decode.d7.loss_mask: 0.4694, decode.d7.loss_dice: 0.7261, decode.d8.loss_cls: 0.2452, decode.d8.loss_mask: 0.4679, decode.d8.loss_dice: 0.7241, loss: 15.7967, grad_norm: 65.7372 2023-11-22 13:11:06,722 - mmseg - INFO - Iter [97800/160000] lr: 3.703e-06, eta: 10:07:47, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2416, decode.loss_mask: 0.4747, decode.loss_dice: 0.7431, decode.d0.loss_cls: 1.3710, decode.d0.loss_mask: 0.5036, decode.d0.loss_dice: 0.8269, decode.d1.loss_cls: 0.3372, decode.d1.loss_mask: 0.4916, decode.d1.loss_dice: 0.7812, decode.d2.loss_cls: 0.2798, decode.d2.loss_mask: 0.4817, decode.d2.loss_dice: 0.7620, decode.d3.loss_cls: 0.2611, decode.d3.loss_mask: 0.4742, decode.d3.loss_dice: 0.7543, decode.d4.loss_cls: 0.2565, decode.d4.loss_mask: 0.4742, decode.d4.loss_dice: 0.7542, decode.d5.loss_cls: 0.2542, decode.d5.loss_mask: 0.4726, decode.d5.loss_dice: 0.7513, decode.d6.loss_cls: 0.2520, decode.d6.loss_mask: 0.4718, decode.d6.loss_dice: 0.7441, decode.d7.loss_cls: 0.2419, decode.d7.loss_mask: 0.4727, decode.d7.loss_dice: 0.7460, decode.d8.loss_cls: 0.2463, decode.d8.loss_mask: 0.4730, decode.d8.loss_dice: 0.7464, loss: 16.1414, grad_norm: 69.9823 2023-11-22 13:11:34,924 - mmseg - INFO - Iter [97850/160000] lr: 3.700e-06, eta: 10:07:17, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2205, decode.loss_mask: 0.4753, decode.loss_dice: 0.7198, decode.d0.loss_cls: 1.3084, decode.d0.loss_mask: 0.5183, decode.d0.loss_dice: 0.7997, decode.d1.loss_cls: 0.3035, decode.d1.loss_mask: 0.4988, decode.d1.loss_dice: 0.7586, decode.d2.loss_cls: 0.2640, decode.d2.loss_mask: 0.4840, decode.d2.loss_dice: 0.7366, decode.d3.loss_cls: 0.2354, decode.d3.loss_mask: 0.4808, decode.d3.loss_dice: 0.7205, decode.d4.loss_cls: 0.2291, decode.d4.loss_mask: 0.4806, decode.d4.loss_dice: 0.7239, decode.d5.loss_cls: 0.2239, decode.d5.loss_mask: 0.4803, decode.d5.loss_dice: 0.7218, decode.d6.loss_cls: 0.2264, decode.d6.loss_mask: 0.4775, decode.d6.loss_dice: 0.7170, decode.d7.loss_cls: 0.2229, decode.d7.loss_mask: 0.4762, decode.d7.loss_dice: 0.7203, decode.d8.loss_cls: 0.2200, decode.d8.loss_mask: 0.4763, decode.d8.loss_dice: 0.7186, loss: 15.6389, grad_norm: 70.9029 2023-11-22 13:12:03,019 - mmseg - INFO - Iter [97900/160000] lr: 3.697e-06, eta: 10:06:46, time: 0.562, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2298, decode.loss_mask: 0.4847, decode.loss_dice: 0.7081, decode.d0.loss_cls: 1.3340, decode.d0.loss_mask: 0.5164, decode.d0.loss_dice: 0.7839, decode.d1.loss_cls: 0.3172, decode.d1.loss_mask: 0.5036, decode.d1.loss_dice: 0.7425, decode.d2.loss_cls: 0.2663, decode.d2.loss_mask: 0.4899, decode.d2.loss_dice: 0.7263, decode.d3.loss_cls: 0.2545, decode.d3.loss_mask: 0.4855, decode.d3.loss_dice: 0.7125, decode.d4.loss_cls: 0.2462, decode.d4.loss_mask: 0.4842, decode.d4.loss_dice: 0.7127, decode.d5.loss_cls: 0.2362, decode.d5.loss_mask: 0.4854, decode.d5.loss_dice: 0.7113, decode.d6.loss_cls: 0.2370, decode.d6.loss_mask: 0.4858, decode.d6.loss_dice: 0.7101, decode.d7.loss_cls: 0.2303, decode.d7.loss_mask: 0.4854, decode.d7.loss_dice: 0.7107, decode.d8.loss_cls: 0.2319, decode.d8.loss_mask: 0.4853, decode.d8.loss_dice: 0.7093, loss: 15.7169, grad_norm: 69.2983 2023-11-22 13:12:31,383 - mmseg - INFO - Iter [97950/160000] lr: 3.694e-06, eta: 10:06:17, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2246, decode.loss_mask: 0.4481, decode.loss_dice: 0.7012, decode.d0.loss_cls: 1.3607, decode.d0.loss_mask: 0.4851, decode.d0.loss_dice: 0.7937, decode.d1.loss_cls: 0.3081, decode.d1.loss_mask: 0.4639, decode.d1.loss_dice: 0.7514, decode.d2.loss_cls: 0.2611, decode.d2.loss_mask: 0.4553, decode.d2.loss_dice: 0.7222, decode.d3.loss_cls: 0.2444, decode.d3.loss_mask: 0.4517, decode.d3.loss_dice: 0.7141, decode.d4.loss_cls: 0.2393, decode.d4.loss_mask: 0.4498, decode.d4.loss_dice: 0.7071, decode.d5.loss_cls: 0.2254, decode.d5.loss_mask: 0.4503, decode.d5.loss_dice: 0.7130, decode.d6.loss_cls: 0.2320, decode.d6.loss_mask: 0.4494, decode.d6.loss_dice: 0.7027, decode.d7.loss_cls: 0.2265, decode.d7.loss_mask: 0.4483, decode.d7.loss_dice: 0.7076, decode.d8.loss_cls: 0.2232, decode.d8.loss_mask: 0.4483, decode.d8.loss_dice: 0.7070, loss: 15.3155, grad_norm: 63.2400 2023-11-22 13:12:59,954 - mmseg - INFO - Saving checkpoint at 98000 iterations 2023-11-22 13:13:07,763 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 13:13:07,763 - mmseg - INFO - Iter [98000/160000] lr: 3.691e-06, eta: 10:05:52, time: 0.728, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2069, decode.loss_mask: 0.4945, decode.loss_dice: 0.7283, decode.d0.loss_cls: 1.2979, decode.d0.loss_mask: 0.5323, decode.d0.loss_dice: 0.8092, decode.d1.loss_cls: 0.2857, decode.d1.loss_mask: 0.5164, decode.d1.loss_dice: 0.7700, decode.d2.loss_cls: 0.2391, decode.d2.loss_mask: 0.4999, decode.d2.loss_dice: 0.7482, decode.d3.loss_cls: 0.2239, decode.d3.loss_mask: 0.4964, decode.d3.loss_dice: 0.7333, decode.d4.loss_cls: 0.2141, decode.d4.loss_mask: 0.4979, decode.d4.loss_dice: 0.7287, decode.d5.loss_cls: 0.2106, decode.d5.loss_mask: 0.4967, decode.d5.loss_dice: 0.7332, decode.d6.loss_cls: 0.2111, decode.d6.loss_mask: 0.4957, decode.d6.loss_dice: 0.7264, decode.d7.loss_cls: 0.2071, decode.d7.loss_mask: 0.4943, decode.d7.loss_dice: 0.7222, decode.d8.loss_cls: 0.2072, decode.d8.loss_mask: 0.4930, decode.d8.loss_dice: 0.7262, loss: 15.7462, grad_norm: 69.4783 2023-11-22 13:13:27,494 - mmseg - INFO - per class results: 2023-11-22 13:13:27,500 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.86 | 87.79 | | building | 83.51 | 90.78 | | sky | 94.93 | 97.82 | | floor | 84.44 | 91.01 | | tree | 76.0 | 87.12 | | ceiling | 85.7 | 92.07 | | road | 86.84 | 92.31 | | bed | 91.61 | 95.34 | | windowpane | 64.61 | 81.42 | | grass | 69.04 | 81.37 | | cabinet | 64.87 | 77.94 | | sidewalk | 68.2 | 81.57 | | person | 86.0 | 92.8 | | earth | 38.69 | 52.05 | | door | 55.55 | 72.56 | | table | 70.24 | 85.16 | | mountain | 65.11 | 80.91 | | plant | 54.11 | 68.47 | | curtain | 76.34 | 87.56 | | chair | 63.16 | 72.31 | | car | 88.1 | 94.71 | | water | 54.61 | 64.28 | | painting | 72.89 | 90.53 | | sofa | 76.35 | 89.15 | | shelf | 45.49 | 59.36 | | house | 44.91 | 78.42 | | sea | 60.37 | 90.21 | | mirror | 73.2 | 85.85 | | rug | 68.85 | 83.33 | | field | 37.64 | 56.62 | | armchair | 54.61 | 76.04 | | seat | 65.85 | 85.61 | | fence | 51.47 | 65.22 | | desk | 54.03 | 74.88 | | rock | 53.97 | 76.16 | | wardrobe | 49.01 | 59.1 | | lamp | 71.79 | 82.91 | | bathtub | 72.25 | 84.22 | | railing | 37.22 | 55.15 | | cushion | 65.91 | 75.94 | | base | 44.88 | 60.61 | | box | 32.76 | 46.51 | | column | 52.86 | 70.97 | | signboard | 41.09 | 62.85 | | chest of drawers | 39.86 | 68.25 | | counter | 47.14 | 60.47 | | sand | 47.31 | 71.32 | | sink | 80.42 | 86.68 | | skyscraper | 63.37 | 80.87 | | fireplace | 76.1 | 90.55 | | refrigerator | 84.61 | 91.95 | | grandstand | 44.8 | 78.82 | | path | 25.83 | 43.94 | | stairs | 37.97 | 49.59 | | runway | 76.31 | 97.56 | | case | 56.36 | 87.35 | | pool table | 95.37 | 97.75 | | pillow | 63.93 | 79.49 | | screen door | 82.08 | 90.79 | | stairway | 37.27 | 48.57 | | river | 14.96 | 26.55 | | bridge | 81.6 | 89.89 | | bookcase | 30.32 | 49.11 | | blind | 42.31 | 46.95 | | coffee table | 70.34 | 85.47 | | toilet | 90.91 | 93.24 | | flower | 43.53 | 61.53 | | book | 53.7 | 75.55 | | hill | 8.22 | 15.43 | | bench | 65.61 | 77.39 | | countertop | 55.58 | 74.51 | | stove | 86.44 | 91.99 | | palm | 54.53 | 81.27 | | kitchen island | 44.58 | 78.72 | | computer | 77.8 | 86.89 | | swivel chair | 51.49 | 85.47 | | boat | 58.21 | 93.49 | | bar | 64.36 | 70.66 | | arcade machine | 87.08 | 93.79 | | hovel | 45.41 | 49.79 | | bus | 94.6 | 96.7 | | towel | 75.03 | 88.65 | | light | 66.85 | 78.51 | | truck | 44.54 | 52.82 | | tower | 45.8 | 78.59 | | chandelier | 67.8 | 84.38 | | awning | 39.38 | 57.08 | | streetlight | 45.21 | 67.84 | | booth | 47.08 | 67.47 | | television receiver | 75.65 | 88.78 | | airplane | 39.44 | 79.17 | | dirt track | 18.11 | 30.63 | | apparel | 46.23 | 65.57 | | pole | 35.97 | 56.72 | | land | 3.84 | 6.81 | | bannister | 19.39 | 31.31 | | escalator | 23.51 | 26.88 | | ottoman | 53.85 | 78.25 | | bottle | 29.59 | 69.82 | | buffet | 51.3 | 61.87 | | poster | 36.3 | 47.28 | | stage | 23.98 | 48.7 | | van | 45.35 | 67.12 | | ship | 9.43 | 10.81 | | fountain | 21.41 | 21.81 | | conveyer belt | 62.3 | 92.06 | | canopy | 40.62 | 78.97 | | washer | 70.71 | 73.12 | | plaything | 41.24 | 59.92 | | swimming pool | 68.28 | 73.42 | | stool | 59.23 | 76.31 | | barrel | 80.86 | 98.56 | | basket | 43.64 | 56.7 | | waterfall | 77.92 | 91.54 | | tent | 87.95 | 98.26 | | bag | 27.26 | 42.28 | | minibike | 73.58 | 90.72 | | cradle | 90.45 | 97.5 | | oven | 26.59 | 73.34 | | ball | 39.09 | 44.45 | | food | 62.4 | 69.39 | | step | 31.42 | 43.92 | | tank | 63.85 | 66.94 | | trade name | 25.26 | 30.71 | | microwave | 43.31 | 45.85 | | pot | 56.16 | 68.9 | | animal | 64.44 | 66.31 | | bicycle | 55.37 | 78.31 | | lake | 54.08 | 79.98 | | dishwasher | 78.71 | 83.68 | | screen | 60.88 | 92.46 | | blanket | 36.26 | 45.27 | | sculpture | 59.42 | 89.67 | | hood | 71.61 | 78.09 | | sconce | 61.42 | 75.58 | | vase | 56.98 | 76.49 | | traffic light | 45.14 | 70.08 | | tray | 19.89 | 36.09 | | ashcan | 53.2 | 74.91 | | fan | 71.96 | 85.94 | | pier | 14.06 | 15.27 | | crt screen | 3.86 | 11.35 | | plate | 65.18 | 82.61 | | monitor | 2.08 | 2.3 | | bulletin board | 62.77 | 79.5 | | shower | 13.07 | 27.02 | | radiator | 65.94 | 83.54 | | glass | 25.19 | 28.89 | | clock | 56.46 | 72.52 | | flag | 51.71 | 57.67 | +---------------------+-------+-------+ 2023-11-22 13:13:27,500 - mmseg - INFO - Summary: 2023-11-22 13:13:27,500 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.08 | 55.31 | 70.12 | +-------+-------+-------+ 2023-11-22 13:13:27,601 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_l_640_160k_ade20k_ss/best_mIoU_iter_64000.pth was removed 2023-11-22 13:13:34,563 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_98000.pth. 2023-11-22 13:13:34,563 - mmseg - INFO - Best mIoU is 0.5531 at 98000 iter. 2023-11-22 13:13:34,563 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 13:13:34,563 - mmseg - INFO - Iter(val) [250] aAcc: 0.8508, mIoU: 0.5531, mAcc: 0.7012, IoU.wall: 0.8086, IoU.building: 0.8351, IoU.sky: 0.9493, IoU.floor: 0.8444, IoU.tree: 0.7600, IoU.ceiling: 0.8570, IoU.road: 0.8684, IoU.bed : 0.9161, IoU.windowpane: 0.6461, IoU.grass: 0.6904, IoU.cabinet: 0.6487, IoU.sidewalk: 0.6820, IoU.person: 0.8600, IoU.earth: 0.3869, IoU.door: 0.5555, IoU.table: 0.7024, IoU.mountain: 0.6511, IoU.plant: 0.5411, IoU.curtain: 0.7634, IoU.chair: 0.6316, IoU.car: 0.8810, IoU.water: 0.5461, IoU.painting: 0.7289, IoU.sofa: 0.7635, IoU.shelf: 0.4549, IoU.house: 0.4491, IoU.sea: 0.6037, IoU.mirror: 0.7320, IoU.rug: 0.6885, IoU.field: 0.3764, IoU.armchair: 0.5461, IoU.seat: 0.6585, IoU.fence: 0.5147, IoU.desk: 0.5403, IoU.rock: 0.5397, IoU.wardrobe: 0.4901, IoU.lamp: 0.7179, IoU.bathtub: 0.7225, IoU.railing: 0.3722, IoU.cushion: 0.6591, IoU.base: 0.4488, IoU.box: 0.3276, IoU.column: 0.5286, IoU.signboard: 0.4109, IoU.chest of drawers: 0.3986, IoU.counter: 0.4714, IoU.sand: 0.4731, IoU.sink: 0.8042, IoU.skyscraper: 0.6337, IoU.fireplace: 0.7610, IoU.refrigerator: 0.8461, IoU.grandstand: 0.4480, IoU.path: 0.2583, IoU.stairs: 0.3797, IoU.runway: 0.7631, IoU.case: 0.5636, IoU.pool table: 0.9537, IoU.pillow: 0.6393, IoU.screen door: 0.8208, IoU.stairway: 0.3727, IoU.river: 0.1496, IoU.bridge: 0.8160, IoU.bookcase: 0.3032, IoU.blind: 0.4231, IoU.coffee table: 0.7034, IoU.toilet: 0.9091, IoU.flower: 0.4353, IoU.book: 0.5370, IoU.hill: 0.0822, IoU.bench: 0.6561, IoU.countertop: 0.5558, IoU.stove: 0.8644, IoU.palm: 0.5453, IoU.kitchen island: 0.4458, IoU.computer: 0.7780, IoU.swivel chair: 0.5149, IoU.boat: 0.5821, IoU.bar: 0.6436, IoU.arcade machine: 0.8708, IoU.hovel: 0.4541, IoU.bus: 0.9460, IoU.towel: 0.7503, IoU.light: 0.6685, IoU.truck: 0.4454, IoU.tower: 0.4580, IoU.chandelier: 0.6780, IoU.awning: 0.3938, IoU.streetlight: 0.4521, IoU.booth: 0.4708, IoU.television receiver: 0.7565, IoU.airplane: 0.3944, IoU.dirt track: 0.1811, IoU.apparel: 0.4623, IoU.pole: 0.3597, IoU.land: 0.0384, IoU.bannister: 0.1939, IoU.escalator: 0.2351, IoU.ottoman: 0.5385, IoU.bottle: 0.2959, IoU.buffet: 0.5130, IoU.poster: 0.3630, IoU.stage: 0.2398, IoU.van: 0.4535, IoU.ship: 0.0943, IoU.fountain: 0.2141, IoU.conveyer belt: 0.6230, IoU.canopy: 0.4062, IoU.washer: 0.7071, IoU.plaything: 0.4124, IoU.swimming pool: 0.6828, IoU.stool: 0.5923, IoU.barrel: 0.8086, IoU.basket: 0.4364, IoU.waterfall: 0.7792, IoU.tent: 0.8795, IoU.bag: 0.2726, IoU.minibike: 0.7358, IoU.cradle: 0.9045, IoU.oven: 0.2659, IoU.ball: 0.3909, IoU.food: 0.6240, IoU.step: 0.3142, IoU.tank: 0.6385, IoU.trade name: 0.2526, IoU.microwave: 0.4331, IoU.pot: 0.5616, IoU.animal: 0.6444, IoU.bicycle: 0.5537, IoU.lake: 0.5408, IoU.dishwasher: 0.7871, IoU.screen: 0.6088, IoU.blanket: 0.3626, IoU.sculpture: 0.5942, IoU.hood: 0.7161, IoU.sconce: 0.6142, IoU.vase: 0.5698, IoU.traffic light: 0.4514, IoU.tray: 0.1989, IoU.ashcan: 0.5320, IoU.fan: 0.7196, IoU.pier: 0.1406, IoU.crt screen: 0.0386, IoU.plate: 0.6518, IoU.monitor: 0.0208, IoU.bulletin board: 0.6277, IoU.shower: 0.1307, IoU.radiator: 0.6594, IoU.glass: 0.2519, IoU.clock: 0.5646, IoU.flag: 0.5171, Acc.wall: 0.8779, Acc.building: 0.9078, Acc.sky: 0.9782, Acc.floor: 0.9101, Acc.tree: 0.8712, Acc.ceiling: 0.9207, Acc.road: 0.9231, Acc.bed : 0.9534, Acc.windowpane: 0.8142, Acc.grass: 0.8137, Acc.cabinet: 0.7794, Acc.sidewalk: 0.8157, Acc.person: 0.9280, Acc.earth: 0.5205, Acc.door: 0.7256, Acc.table: 0.8516, Acc.mountain: 0.8091, Acc.plant: 0.6847, Acc.curtain: 0.8756, Acc.chair: 0.7231, Acc.car: 0.9471, Acc.water: 0.6428, Acc.painting: 0.9053, Acc.sofa: 0.8915, Acc.shelf: 0.5936, Acc.house: 0.7842, Acc.sea: 0.9021, Acc.mirror: 0.8585, Acc.rug: 0.8333, Acc.field: 0.5662, Acc.armchair: 0.7604, Acc.seat: 0.8561, Acc.fence: 0.6522, Acc.desk: 0.7488, Acc.rock: 0.7616, Acc.wardrobe: 0.5910, Acc.lamp: 0.8291, Acc.bathtub: 0.8422, Acc.railing: 0.5515, Acc.cushion: 0.7594, Acc.base: 0.6061, Acc.box: 0.4651, Acc.column: 0.7097, Acc.signboard: 0.6285, Acc.chest of drawers: 0.6825, Acc.counter: 0.6047, Acc.sand: 0.7132, Acc.sink: 0.8668, Acc.skyscraper: 0.8087, Acc.fireplace: 0.9055, Acc.refrigerator: 0.9195, Acc.grandstand: 0.7882, Acc.path: 0.4394, Acc.stairs: 0.4959, Acc.runway: 0.9756, Acc.case: 0.8735, Acc.pool table: 0.9775, Acc.pillow: 0.7949, Acc.screen door: 0.9079, Acc.stairway: 0.4857, Acc.river: 0.2655, Acc.bridge: 0.8989, Acc.bookcase: 0.4911, Acc.blind: 0.4695, Acc.coffee table: 0.8547, Acc.toilet: 0.9324, Acc.flower: 0.6153, Acc.book: 0.7555, Acc.hill: 0.1543, Acc.bench: 0.7739, Acc.countertop: 0.7451, Acc.stove: 0.9199, Acc.palm: 0.8127, Acc.kitchen island: 0.7872, Acc.computer: 0.8689, Acc.swivel chair: 0.8547, Acc.boat: 0.9349, Acc.bar: 0.7066, Acc.arcade machine: 0.9379, Acc.hovel: 0.4979, Acc.bus: 0.9670, Acc.towel: 0.8865, Acc.light: 0.7851, Acc.truck: 0.5282, Acc.tower: 0.7859, Acc.chandelier: 0.8438, Acc.awning: 0.5708, Acc.streetlight: 0.6784, Acc.booth: 0.6747, Acc.television receiver: 0.8878, Acc.airplane: 0.7917, Acc.dirt track: 0.3063, Acc.apparel: 0.6557, Acc.pole: 0.5672, Acc.land: 0.0681, Acc.bannister: 0.3131, Acc.escalator: 0.2688, Acc.ottoman: 0.7825, Acc.bottle: 0.6982, Acc.buffet: 0.6187, Acc.poster: 0.4728, Acc.stage: 0.4870, Acc.van: 0.6712, Acc.ship: 0.1081, Acc.fountain: 0.2181, Acc.conveyer belt: 0.9206, Acc.canopy: 0.7897, Acc.washer: 0.7312, Acc.plaything: 0.5992, Acc.swimming pool: 0.7342, Acc.stool: 0.7631, Acc.barrel: 0.9856, Acc.basket: 0.5670, Acc.waterfall: 0.9154, Acc.tent: 0.9826, Acc.bag: 0.4228, Acc.minibike: 0.9072, Acc.cradle: 0.9750, Acc.oven: 0.7334, Acc.ball: 0.4445, Acc.food: 0.6939, Acc.step: 0.4392, Acc.tank: 0.6694, Acc.trade name: 0.3071, Acc.microwave: 0.4585, Acc.pot: 0.6890, Acc.animal: 0.6631, Acc.bicycle: 0.7831, Acc.lake: 0.7998, Acc.dishwasher: 0.8368, Acc.screen: 0.9246, Acc.blanket: 0.4527, Acc.sculpture: 0.8967, Acc.hood: 0.7809, Acc.sconce: 0.7558, Acc.vase: 0.7649, Acc.traffic light: 0.7008, Acc.tray: 0.3609, Acc.ashcan: 0.7491, Acc.fan: 0.8594, Acc.pier: 0.1527, Acc.crt screen: 0.1135, Acc.plate: 0.8261, Acc.monitor: 0.0230, Acc.bulletin board: 0.7950, Acc.shower: 0.2702, Acc.radiator: 0.8354, Acc.glass: 0.2889, Acc.clock: 0.7252, Acc.flag: 0.5767 2023-11-22 13:14:02,785 - mmseg - INFO - Iter [98050/160000] lr: 3.688e-06, eta: 10:05:39, time: 1.100, data_time: 0.549, memory: 38143, decode.loss_cls: 0.2211, decode.loss_mask: 0.4818, decode.loss_dice: 0.6963, decode.d0.loss_cls: 1.2984, decode.d0.loss_mask: 0.5196, decode.d0.loss_dice: 0.7777, decode.d1.loss_cls: 0.3012, decode.d1.loss_mask: 0.4981, decode.d1.loss_dice: 0.7377, decode.d2.loss_cls: 0.2540, decode.d2.loss_mask: 0.4880, decode.d2.loss_dice: 0.7152, decode.d3.loss_cls: 0.2399, decode.d3.loss_mask: 0.4857, decode.d3.loss_dice: 0.7032, decode.d4.loss_cls: 0.2294, decode.d4.loss_mask: 0.4845, decode.d4.loss_dice: 0.7039, decode.d5.loss_cls: 0.2297, decode.d5.loss_mask: 0.4825, decode.d5.loss_dice: 0.7028, decode.d6.loss_cls: 0.2272, decode.d6.loss_mask: 0.4811, decode.d6.loss_dice: 0.6995, decode.d7.loss_cls: 0.2264, decode.d7.loss_mask: 0.4816, decode.d7.loss_dice: 0.6965, decode.d8.loss_cls: 0.2242, decode.d8.loss_mask: 0.4814, decode.d8.loss_dice: 0.6967, loss: 15.4652, grad_norm: 72.7261 2023-11-22 13:14:30,977 - mmseg - INFO - Iter [98100/160000] lr: 3.685e-06, eta: 10:05:09, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2132, decode.loss_mask: 0.4635, decode.loss_dice: 0.6964, decode.d0.loss_cls: 1.3181, decode.d0.loss_mask: 0.4972, decode.d0.loss_dice: 0.7768, decode.d1.loss_cls: 0.2997, decode.d1.loss_mask: 0.4793, decode.d1.loss_dice: 0.7351, decode.d2.loss_cls: 0.2490, decode.d2.loss_mask: 0.4693, decode.d2.loss_dice: 0.7078, decode.d3.loss_cls: 0.2300, decode.d3.loss_mask: 0.4670, decode.d3.loss_dice: 0.7006, decode.d4.loss_cls: 0.2222, decode.d4.loss_mask: 0.4664, decode.d4.loss_dice: 0.6994, decode.d5.loss_cls: 0.2198, decode.d5.loss_mask: 0.4653, decode.d5.loss_dice: 0.7005, decode.d6.loss_cls: 0.2185, decode.d6.loss_mask: 0.4655, decode.d6.loss_dice: 0.6953, decode.d7.loss_cls: 0.2197, decode.d7.loss_mask: 0.4640, decode.d7.loss_dice: 0.6959, decode.d8.loss_cls: 0.2137, decode.d8.loss_mask: 0.4648, decode.d8.loss_dice: 0.6948, loss: 15.2087, grad_norm: 65.1743 2023-11-22 13:14:59,273 - mmseg - INFO - Iter [98150/160000] lr: 3.682e-06, eta: 10:04:39, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2349, decode.loss_mask: 0.5014, decode.loss_dice: 0.7342, decode.d0.loss_cls: 1.3574, decode.d0.loss_mask: 0.5442, decode.d0.loss_dice: 0.8204, decode.d1.loss_cls: 0.3270, decode.d1.loss_mask: 0.5248, decode.d1.loss_dice: 0.7798, decode.d2.loss_cls: 0.2846, decode.d2.loss_mask: 0.5119, decode.d2.loss_dice: 0.7601, decode.d3.loss_cls: 0.2660, decode.d3.loss_mask: 0.5049, decode.d3.loss_dice: 0.7406, decode.d4.loss_cls: 0.2517, decode.d4.loss_mask: 0.5036, decode.d4.loss_dice: 0.7411, decode.d5.loss_cls: 0.2477, decode.d5.loss_mask: 0.5017, decode.d5.loss_dice: 0.7397, decode.d6.loss_cls: 0.2441, decode.d6.loss_mask: 0.5025, decode.d6.loss_dice: 0.7343, decode.d7.loss_cls: 0.2415, decode.d7.loss_mask: 0.5010, decode.d7.loss_dice: 0.7333, decode.d8.loss_cls: 0.2418, decode.d8.loss_mask: 0.5003, decode.d8.loss_dice: 0.7333, loss: 16.3100, grad_norm: 76.5231 2023-11-22 13:15:27,515 - mmseg - INFO - Iter [98200/160000] lr: 3.679e-06, eta: 10:04:09, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2375, decode.loss_mask: 0.4903, decode.loss_dice: 0.7389, decode.d0.loss_cls: 1.3613, decode.d0.loss_mask: 0.5240, decode.d0.loss_dice: 0.8241, decode.d1.loss_cls: 0.3198, decode.d1.loss_mask: 0.5045, decode.d1.loss_dice: 0.7840, decode.d2.loss_cls: 0.2745, decode.d2.loss_mask: 0.4980, decode.d2.loss_dice: 0.7646, decode.d3.loss_cls: 0.2527, decode.d3.loss_mask: 0.4970, decode.d3.loss_dice: 0.7430, decode.d4.loss_cls: 0.2521, decode.d4.loss_mask: 0.4935, decode.d4.loss_dice: 0.7414, decode.d5.loss_cls: 0.2418, decode.d5.loss_mask: 0.4926, decode.d5.loss_dice: 0.7434, decode.d6.loss_cls: 0.2396, decode.d6.loss_mask: 0.4929, decode.d6.loss_dice: 0.7431, decode.d7.loss_cls: 0.2415, decode.d7.loss_mask: 0.4915, decode.d7.loss_dice: 0.7395, decode.d8.loss_cls: 0.2390, decode.d8.loss_mask: 0.4919, decode.d8.loss_dice: 0.7381, loss: 16.1961, grad_norm: 71.6126 2023-11-22 13:15:56,326 - mmseg - INFO - Iter [98250/160000] lr: 3.676e-06, eta: 10:03:39, time: 0.576, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2247, decode.loss_mask: 0.4783, decode.loss_dice: 0.7393, decode.d0.loss_cls: 1.3725, decode.d0.loss_mask: 0.5184, decode.d0.loss_dice: 0.8269, decode.d1.loss_cls: 0.3206, decode.d1.loss_mask: 0.4951, decode.d1.loss_dice: 0.7807, decode.d2.loss_cls: 0.2687, decode.d2.loss_mask: 0.4863, decode.d2.loss_dice: 0.7572, decode.d3.loss_cls: 0.2473, decode.d3.loss_mask: 0.4831, decode.d3.loss_dice: 0.7437, decode.d4.loss_cls: 0.2398, decode.d4.loss_mask: 0.4826, decode.d4.loss_dice: 0.7456, decode.d5.loss_cls: 0.2326, decode.d5.loss_mask: 0.4802, decode.d5.loss_dice: 0.7441, decode.d6.loss_cls: 0.2318, decode.d6.loss_mask: 0.4788, decode.d6.loss_dice: 0.7379, decode.d7.loss_cls: 0.2284, decode.d7.loss_mask: 0.4783, decode.d7.loss_dice: 0.7393, decode.d8.loss_cls: 0.2288, decode.d8.loss_mask: 0.4774, decode.d8.loss_dice: 0.7405, loss: 16.0089, grad_norm: 66.3085 2023-11-22 13:16:24,774 - mmseg - INFO - Iter [98300/160000] lr: 3.673e-06, eta: 10:03:09, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2287, decode.loss_mask: 0.4661, decode.loss_dice: 0.7071, decode.d0.loss_cls: 1.3039, decode.d0.loss_mask: 0.4950, decode.d0.loss_dice: 0.7921, decode.d1.loss_cls: 0.3055, decode.d1.loss_mask: 0.4835, decode.d1.loss_dice: 0.7564, decode.d2.loss_cls: 0.2635, decode.d2.loss_mask: 0.4718, decode.d2.loss_dice: 0.7295, decode.d3.loss_cls: 0.2406, decode.d3.loss_mask: 0.4682, decode.d3.loss_dice: 0.7152, decode.d4.loss_cls: 0.2388, decode.d4.loss_mask: 0.4673, decode.d4.loss_dice: 0.7130, decode.d5.loss_cls: 0.2300, decode.d5.loss_mask: 0.4686, decode.d5.loss_dice: 0.7140, decode.d6.loss_cls: 0.2284, decode.d6.loss_mask: 0.4672, decode.d6.loss_dice: 0.7076, decode.d7.loss_cls: 0.2282, decode.d7.loss_mask: 0.4665, decode.d7.loss_dice: 0.7072, decode.d8.loss_cls: 0.2248, decode.d8.loss_mask: 0.4674, decode.d8.loss_dice: 0.7074, loss: 15.4634, grad_norm: 70.5270 2023-11-22 13:16:53,061 - mmseg - INFO - Iter [98350/160000] lr: 3.670e-06, eta: 10:02:39, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2341, decode.loss_mask: 0.4752, decode.loss_dice: 0.7384, decode.d0.loss_cls: 1.3698, decode.d0.loss_mask: 0.5177, decode.d0.loss_dice: 0.8257, decode.d1.loss_cls: 0.3243, decode.d1.loss_mask: 0.4965, decode.d1.loss_dice: 0.7849, decode.d2.loss_cls: 0.2694, decode.d2.loss_mask: 0.4870, decode.d2.loss_dice: 0.7647, decode.d3.loss_cls: 0.2569, decode.d3.loss_mask: 0.4806, decode.d3.loss_dice: 0.7458, decode.d4.loss_cls: 0.2501, decode.d4.loss_mask: 0.4767, decode.d4.loss_dice: 0.7410, decode.d5.loss_cls: 0.2414, decode.d5.loss_mask: 0.4769, decode.d5.loss_dice: 0.7414, decode.d6.loss_cls: 0.2368, decode.d6.loss_mask: 0.4756, decode.d6.loss_dice: 0.7375, decode.d7.loss_cls: 0.2331, decode.d7.loss_mask: 0.4758, decode.d7.loss_dice: 0.7354, decode.d8.loss_cls: 0.2347, decode.d8.loss_mask: 0.4759, decode.d8.loss_dice: 0.7383, loss: 16.0415, grad_norm: 72.9983 2023-11-22 13:17:21,254 - mmseg - INFO - Iter [98400/160000] lr: 3.667e-06, eta: 10:02:09, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2141, decode.loss_mask: 0.5020, decode.loss_dice: 0.7223, decode.d0.loss_cls: 1.2854, decode.d0.loss_mask: 0.5466, decode.d0.loss_dice: 0.8087, decode.d1.loss_cls: 0.3001, decode.d1.loss_mask: 0.5266, decode.d1.loss_dice: 0.7629, decode.d2.loss_cls: 0.2489, decode.d2.loss_mask: 0.5104, decode.d2.loss_dice: 0.7406, decode.d3.loss_cls: 0.2364, decode.d3.loss_mask: 0.5055, decode.d3.loss_dice: 0.7233, decode.d4.loss_cls: 0.2261, decode.d4.loss_mask: 0.5060, decode.d4.loss_dice: 0.7212, decode.d5.loss_cls: 0.2242, decode.d5.loss_mask: 0.5029, decode.d5.loss_dice: 0.7224, decode.d6.loss_cls: 0.2196, decode.d6.loss_mask: 0.5014, decode.d6.loss_dice: 0.7204, decode.d7.loss_cls: 0.2203, decode.d7.loss_mask: 0.5014, decode.d7.loss_dice: 0.7230, decode.d8.loss_cls: 0.2161, decode.d8.loss_mask: 0.5008, decode.d8.loss_dice: 0.7232, loss: 15.8624, grad_norm: 71.5463 2023-11-22 13:17:49,599 - mmseg - INFO - Iter [98450/160000] lr: 3.664e-06, eta: 10:01:39, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2286, decode.loss_mask: 0.4925, decode.loss_dice: 0.7305, decode.d0.loss_cls: 1.3205, decode.d0.loss_mask: 0.5285, decode.d0.loss_dice: 0.8180, decode.d1.loss_cls: 0.3058, decode.d1.loss_mask: 0.5100, decode.d1.loss_dice: 0.7778, decode.d2.loss_cls: 0.2656, decode.d2.loss_mask: 0.5012, decode.d2.loss_dice: 0.7569, decode.d3.loss_cls: 0.2523, decode.d3.loss_mask: 0.4949, decode.d3.loss_dice: 0.7424, decode.d4.loss_cls: 0.2384, decode.d4.loss_mask: 0.4945, decode.d4.loss_dice: 0.7381, decode.d5.loss_cls: 0.2360, decode.d5.loss_mask: 0.4943, decode.d5.loss_dice: 0.7378, decode.d6.loss_cls: 0.2322, decode.d6.loss_mask: 0.4946, decode.d6.loss_dice: 0.7322, decode.d7.loss_cls: 0.2391, decode.d7.loss_mask: 0.4932, decode.d7.loss_dice: 0.7325, decode.d8.loss_cls: 0.2335, decode.d8.loss_mask: 0.4928, decode.d8.loss_dice: 0.7298, loss: 16.0444, grad_norm: 66.9148 2023-11-22 13:18:17,913 - mmseg - INFO - Iter [98500/160000] lr: 3.661e-06, eta: 10:01:09, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2269, decode.loss_mask: 0.4740, decode.loss_dice: 0.7372, decode.d0.loss_cls: 1.3208, decode.d0.loss_mask: 0.5146, decode.d0.loss_dice: 0.8260, decode.d1.loss_cls: 0.3051, decode.d1.loss_mask: 0.4970, decode.d1.loss_dice: 0.7732, decode.d2.loss_cls: 0.2594, decode.d2.loss_mask: 0.4852, decode.d2.loss_dice: 0.7554, decode.d3.loss_cls: 0.2412, decode.d3.loss_mask: 0.4776, decode.d3.loss_dice: 0.7419, decode.d4.loss_cls: 0.2348, decode.d4.loss_mask: 0.4760, decode.d4.loss_dice: 0.7446, decode.d5.loss_cls: 0.2287, decode.d5.loss_mask: 0.4773, decode.d5.loss_dice: 0.7384, decode.d6.loss_cls: 0.2299, decode.d6.loss_mask: 0.4749, decode.d6.loss_dice: 0.7329, decode.d7.loss_cls: 0.2273, decode.d7.loss_mask: 0.4760, decode.d7.loss_dice: 0.7347, decode.d8.loss_cls: 0.2264, decode.d8.loss_mask: 0.4749, decode.d8.loss_dice: 0.7350, loss: 15.8475, grad_norm: 71.1959 2023-11-22 13:18:49,062 - mmseg - INFO - Iter [98550/160000] lr: 3.658e-06, eta: 10:00:41, time: 0.623, data_time: 0.062, memory: 38143, decode.loss_cls: 0.2225, decode.loss_mask: 0.4992, decode.loss_dice: 0.7164, decode.d0.loss_cls: 1.3116, decode.d0.loss_mask: 0.5405, decode.d0.loss_dice: 0.8002, decode.d1.loss_cls: 0.2951, decode.d1.loss_mask: 0.5220, decode.d1.loss_dice: 0.7528, decode.d2.loss_cls: 0.2583, decode.d2.loss_mask: 0.5072, decode.d2.loss_dice: 0.7362, decode.d3.loss_cls: 0.2403, decode.d3.loss_mask: 0.5051, decode.d3.loss_dice: 0.7254, decode.d4.loss_cls: 0.2376, decode.d4.loss_mask: 0.5022, decode.d4.loss_dice: 0.7185, decode.d5.loss_cls: 0.2332, decode.d5.loss_mask: 0.5016, decode.d5.loss_dice: 0.7169, decode.d6.loss_cls: 0.2296, decode.d6.loss_mask: 0.5000, decode.d6.loss_dice: 0.7127, decode.d7.loss_cls: 0.2222, decode.d7.loss_mask: 0.5001, decode.d7.loss_dice: 0.7115, decode.d8.loss_cls: 0.2222, decode.d8.loss_mask: 0.4997, decode.d8.loss_dice: 0.7179, loss: 15.8587, grad_norm: 69.4107 2023-11-22 13:19:17,425 - mmseg - INFO - Iter [98600/160000] lr: 3.655e-06, eta: 10:00:11, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2131, decode.loss_mask: 0.4598, decode.loss_dice: 0.6916, decode.d0.loss_cls: 1.3194, decode.d0.loss_mask: 0.4931, decode.d0.loss_dice: 0.7822, decode.d1.loss_cls: 0.3010, decode.d1.loss_mask: 0.4769, decode.d1.loss_dice: 0.7363, decode.d2.loss_cls: 0.2481, decode.d2.loss_mask: 0.4671, decode.d2.loss_dice: 0.7174, decode.d3.loss_cls: 0.2327, decode.d3.loss_mask: 0.4619, decode.d3.loss_dice: 0.6957, decode.d4.loss_cls: 0.2209, decode.d4.loss_mask: 0.4617, decode.d4.loss_dice: 0.6946, decode.d5.loss_cls: 0.2171, decode.d5.loss_mask: 0.4636, decode.d5.loss_dice: 0.6960, decode.d6.loss_cls: 0.2133, decode.d6.loss_mask: 0.4616, decode.d6.loss_dice: 0.6906, decode.d7.loss_cls: 0.2144, decode.d7.loss_mask: 0.4611, decode.d7.loss_dice: 0.6894, decode.d8.loss_cls: 0.2104, decode.d8.loss_mask: 0.4598, decode.d8.loss_dice: 0.6927, loss: 15.1436, grad_norm: 65.7365 2023-11-22 13:19:45,727 - mmseg - INFO - Iter [98650/160000] lr: 3.652e-06, eta: 9:59:41, time: 0.566, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2026, decode.loss_mask: 0.4551, decode.loss_dice: 0.7076, decode.d0.loss_cls: 1.3156, decode.d0.loss_mask: 0.4915, decode.d0.loss_dice: 0.7814, decode.d1.loss_cls: 0.2796, decode.d1.loss_mask: 0.4716, decode.d1.loss_dice: 0.7396, decode.d2.loss_cls: 0.2373, decode.d2.loss_mask: 0.4642, decode.d2.loss_dice: 0.7195, decode.d3.loss_cls: 0.2226, decode.d3.loss_mask: 0.4593, decode.d3.loss_dice: 0.7079, decode.d4.loss_cls: 0.2158, decode.d4.loss_mask: 0.4564, decode.d4.loss_dice: 0.7139, decode.d5.loss_cls: 0.2084, decode.d5.loss_mask: 0.4575, decode.d5.loss_dice: 0.7098, decode.d6.loss_cls: 0.2039, decode.d6.loss_mask: 0.4550, decode.d6.loss_dice: 0.7046, decode.d7.loss_cls: 0.2007, decode.d7.loss_mask: 0.4566, decode.d7.loss_dice: 0.7078, decode.d8.loss_cls: 0.2030, decode.d8.loss_mask: 0.4556, decode.d8.loss_dice: 0.7063, loss: 15.1106, grad_norm: 65.1896 2023-11-22 13:20:13,963 - mmseg - INFO - Iter [98700/160000] lr: 3.649e-06, eta: 9:59:11, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2313, decode.loss_mask: 0.4759, decode.loss_dice: 0.7169, decode.d0.loss_cls: 1.3617, decode.d0.loss_mask: 0.5119, decode.d0.loss_dice: 0.8072, decode.d1.loss_cls: 0.3159, decode.d1.loss_mask: 0.4944, decode.d1.loss_dice: 0.7578, decode.d2.loss_cls: 0.2738, decode.d2.loss_mask: 0.4835, decode.d2.loss_dice: 0.7369, decode.d3.loss_cls: 0.2508, decode.d3.loss_mask: 0.4777, decode.d3.loss_dice: 0.7200, decode.d4.loss_cls: 0.2415, decode.d4.loss_mask: 0.4772, decode.d4.loss_dice: 0.7182, decode.d5.loss_cls: 0.2389, decode.d5.loss_mask: 0.4779, decode.d5.loss_dice: 0.7264, decode.d6.loss_cls: 0.2336, decode.d6.loss_mask: 0.4781, decode.d6.loss_dice: 0.7204, decode.d7.loss_cls: 0.2303, decode.d7.loss_mask: 0.4782, decode.d7.loss_dice: 0.7159, decode.d8.loss_cls: 0.2283, decode.d8.loss_mask: 0.4760, decode.d8.loss_dice: 0.7181, loss: 15.7748, grad_norm: 73.9183 2023-11-22 13:20:42,081 - mmseg - INFO - Iter [98750/160000] lr: 3.646e-06, eta: 9:58:41, time: 0.562, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2333, decode.loss_mask: 0.4841, decode.loss_dice: 0.7187, decode.d0.loss_cls: 1.3397, decode.d0.loss_mask: 0.5173, decode.d0.loss_dice: 0.8033, decode.d1.loss_cls: 0.3185, decode.d1.loss_mask: 0.5028, decode.d1.loss_dice: 0.7609, decode.d2.loss_cls: 0.2666, decode.d2.loss_mask: 0.4928, decode.d2.loss_dice: 0.7436, decode.d3.loss_cls: 0.2504, decode.d3.loss_mask: 0.4866, decode.d3.loss_dice: 0.7256, decode.d4.loss_cls: 0.2414, decode.d4.loss_mask: 0.4860, decode.d4.loss_dice: 0.7265, decode.d5.loss_cls: 0.2339, decode.d5.loss_mask: 0.4872, decode.d5.loss_dice: 0.7287, decode.d6.loss_cls: 0.2352, decode.d6.loss_mask: 0.4840, decode.d6.loss_dice: 0.7231, decode.d7.loss_cls: 0.2303, decode.d7.loss_mask: 0.4830, decode.d7.loss_dice: 0.7218, decode.d8.loss_cls: 0.2271, decode.d8.loss_mask: 0.4848, decode.d8.loss_dice: 0.7227, loss: 15.8598, grad_norm: 68.2385 2023-11-22 13:21:10,257 - mmseg - INFO - Iter [98800/160000] lr: 3.643e-06, eta: 9:58:11, time: 0.564, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2310, decode.loss_mask: 0.4833, decode.loss_dice: 0.7085, decode.d0.loss_cls: 1.3084, decode.d0.loss_mask: 0.5165, decode.d0.loss_dice: 0.7924, decode.d1.loss_cls: 0.3067, decode.d1.loss_mask: 0.5026, decode.d1.loss_dice: 0.7545, decode.d2.loss_cls: 0.2673, decode.d2.loss_mask: 0.4913, decode.d2.loss_dice: 0.7233, decode.d3.loss_cls: 0.2487, decode.d3.loss_mask: 0.4865, decode.d3.loss_dice: 0.7152, decode.d4.loss_cls: 0.2401, decode.d4.loss_mask: 0.4861, decode.d4.loss_dice: 0.7121, decode.d5.loss_cls: 0.2349, decode.d5.loss_mask: 0.4834, decode.d5.loss_dice: 0.7128, decode.d6.loss_cls: 0.2377, decode.d6.loss_mask: 0.4814, decode.d6.loss_dice: 0.7072, decode.d7.loss_cls: 0.2333, decode.d7.loss_mask: 0.4813, decode.d7.loss_dice: 0.7076, decode.d8.loss_cls: 0.2345, decode.d8.loss_mask: 0.4814, decode.d8.loss_dice: 0.7093, loss: 15.6792, grad_norm: 74.4916 2023-11-22 13:21:38,946 - mmseg - INFO - Iter [98850/160000] lr: 3.640e-06, eta: 9:57:41, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2237, decode.loss_mask: 0.4596, decode.loss_dice: 0.7035, decode.d0.loss_cls: 1.3267, decode.d0.loss_mask: 0.4946, decode.d0.loss_dice: 0.7968, decode.d1.loss_cls: 0.3162, decode.d1.loss_mask: 0.4777, decode.d1.loss_dice: 0.7456, decode.d2.loss_cls: 0.2617, decode.d2.loss_mask: 0.4657, decode.d2.loss_dice: 0.7247, decode.d3.loss_cls: 0.2417, decode.d3.loss_mask: 0.4650, decode.d3.loss_dice: 0.7157, decode.d4.loss_cls: 0.2332, decode.d4.loss_mask: 0.4638, decode.d4.loss_dice: 0.7103, decode.d5.loss_cls: 0.2319, decode.d5.loss_mask: 0.4616, decode.d5.loss_dice: 0.7078, decode.d6.loss_cls: 0.2253, decode.d6.loss_mask: 0.4618, decode.d6.loss_dice: 0.7073, decode.d7.loss_cls: 0.2223, decode.d7.loss_mask: 0.4609, decode.d7.loss_dice: 0.7051, decode.d8.loss_cls: 0.2194, decode.d8.loss_mask: 0.4602, decode.d8.loss_dice: 0.7065, loss: 15.3964, grad_norm: 65.1851 2023-11-22 13:22:07,549 - mmseg - INFO - Iter [98900/160000] lr: 3.637e-06, eta: 9:57:11, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2188, decode.loss_mask: 0.4634, decode.loss_dice: 0.7075, decode.d0.loss_cls: 1.3549, decode.d0.loss_mask: 0.4924, decode.d0.loss_dice: 0.7891, decode.d1.loss_cls: 0.2956, decode.d1.loss_mask: 0.4780, decode.d1.loss_dice: 0.7440, decode.d2.loss_cls: 0.2445, decode.d2.loss_mask: 0.4714, decode.d2.loss_dice: 0.7242, decode.d3.loss_cls: 0.2295, decode.d3.loss_mask: 0.4656, decode.d3.loss_dice: 0.7139, decode.d4.loss_cls: 0.2299, decode.d4.loss_mask: 0.4650, decode.d4.loss_dice: 0.7102, decode.d5.loss_cls: 0.2277, decode.d5.loss_mask: 0.4647, decode.d5.loss_dice: 0.7108, decode.d6.loss_cls: 0.2269, decode.d6.loss_mask: 0.4611, decode.d6.loss_dice: 0.7088, decode.d7.loss_cls: 0.2233, decode.d7.loss_mask: 0.4634, decode.d7.loss_dice: 0.7099, decode.d8.loss_cls: 0.2185, decode.d8.loss_mask: 0.4619, decode.d8.loss_dice: 0.7088, loss: 15.3835, grad_norm: 69.1097 2023-11-22 13:22:35,783 - mmseg - INFO - Iter [98950/160000] lr: 3.634e-06, eta: 9:56:41, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2136, decode.loss_mask: 0.4730, decode.loss_dice: 0.7052, decode.d0.loss_cls: 1.3269, decode.d0.loss_mask: 0.5050, decode.d0.loss_dice: 0.7815, decode.d1.loss_cls: 0.2937, decode.d1.loss_mask: 0.4884, decode.d1.loss_dice: 0.7456, decode.d2.loss_cls: 0.2446, decode.d2.loss_mask: 0.4809, decode.d2.loss_dice: 0.7227, decode.d3.loss_cls: 0.2255, decode.d3.loss_mask: 0.4764, decode.d3.loss_dice: 0.7146, decode.d4.loss_cls: 0.2248, decode.d4.loss_mask: 0.4753, decode.d4.loss_dice: 0.7125, decode.d5.loss_cls: 0.2248, decode.d5.loss_mask: 0.4725, decode.d5.loss_dice: 0.7089, decode.d6.loss_cls: 0.2179, decode.d6.loss_mask: 0.4730, decode.d6.loss_dice: 0.7056, decode.d7.loss_cls: 0.2127, decode.d7.loss_mask: 0.4730, decode.d7.loss_dice: 0.7041, decode.d8.loss_cls: 0.2116, decode.d8.loss_mask: 0.4725, decode.d8.loss_dice: 0.7081, loss: 15.3950, grad_norm: 64.8291 2023-11-22 13:23:04,195 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 13:23:04,195 - mmseg - INFO - Iter [99000/160000] lr: 3.631e-06, eta: 9:56:12, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2316, decode.loss_mask: 0.4698, decode.loss_dice: 0.7196, decode.d0.loss_cls: 1.3531, decode.d0.loss_mask: 0.5014, decode.d0.loss_dice: 0.7959, decode.d1.loss_cls: 0.3127, decode.d1.loss_mask: 0.4878, decode.d1.loss_dice: 0.7530, decode.d2.loss_cls: 0.2650, decode.d2.loss_mask: 0.4789, decode.d2.loss_dice: 0.7408, decode.d3.loss_cls: 0.2462, decode.d3.loss_mask: 0.4741, decode.d3.loss_dice: 0.7238, decode.d4.loss_cls: 0.2393, decode.d4.loss_mask: 0.4707, decode.d4.loss_dice: 0.7207, decode.d5.loss_cls: 0.2360, decode.d5.loss_mask: 0.4696, decode.d5.loss_dice: 0.7246, decode.d6.loss_cls: 0.2339, decode.d6.loss_mask: 0.4688, decode.d6.loss_dice: 0.7189, decode.d7.loss_cls: 0.2307, decode.d7.loss_mask: 0.4705, decode.d7.loss_dice: 0.7195, decode.d8.loss_cls: 0.2310, decode.d8.loss_mask: 0.4697, decode.d8.loss_dice: 0.7202, loss: 15.6777, grad_norm: 68.4319 2023-11-22 13:23:32,492 - mmseg - INFO - Iter [99050/160000] lr: 3.628e-06, eta: 9:55:42, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2323, decode.loss_mask: 0.4968, decode.loss_dice: 0.7256, decode.d0.loss_cls: 1.3273, decode.d0.loss_mask: 0.5254, decode.d0.loss_dice: 0.8078, decode.d1.loss_cls: 0.3132, decode.d1.loss_mask: 0.5168, decode.d1.loss_dice: 0.7651, decode.d2.loss_cls: 0.2666, decode.d2.loss_mask: 0.5058, decode.d2.loss_dice: 0.7454, decode.d3.loss_cls: 0.2492, decode.d3.loss_mask: 0.4985, decode.d3.loss_dice: 0.7349, decode.d4.loss_cls: 0.2421, decode.d4.loss_mask: 0.4962, decode.d4.loss_dice: 0.7313, decode.d5.loss_cls: 0.2376, decode.d5.loss_mask: 0.4945, decode.d5.loss_dice: 0.7292, decode.d6.loss_cls: 0.2353, decode.d6.loss_mask: 0.4972, decode.d6.loss_dice: 0.7269, decode.d7.loss_cls: 0.2322, decode.d7.loss_mask: 0.4966, decode.d7.loss_dice: 0.7266, decode.d8.loss_cls: 0.2354, decode.d8.loss_mask: 0.4935, decode.d8.loss_dice: 0.7287, loss: 16.0139, grad_norm: 67.5324 2023-11-22 13:24:00,852 - mmseg - INFO - Iter [99100/160000] lr: 3.625e-06, eta: 9:55:12, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2134, decode.loss_mask: 0.4841, decode.loss_dice: 0.7458, decode.d0.loss_cls: 1.3416, decode.d0.loss_mask: 0.5188, decode.d0.loss_dice: 0.8215, decode.d1.loss_cls: 0.2970, decode.d1.loss_mask: 0.5034, decode.d1.loss_dice: 0.7735, decode.d2.loss_cls: 0.2502, decode.d2.loss_mask: 0.4933, decode.d2.loss_dice: 0.7594, decode.d3.loss_cls: 0.2304, decode.d3.loss_mask: 0.4873, decode.d3.loss_dice: 0.7479, decode.d4.loss_cls: 0.2215, decode.d4.loss_mask: 0.4867, decode.d4.loss_dice: 0.7466, decode.d5.loss_cls: 0.2214, decode.d5.loss_mask: 0.4860, decode.d5.loss_dice: 0.7456, decode.d6.loss_cls: 0.2173, decode.d6.loss_mask: 0.4861, decode.d6.loss_dice: 0.7445, decode.d7.loss_cls: 0.2142, decode.d7.loss_mask: 0.4861, decode.d7.loss_dice: 0.7404, decode.d8.loss_cls: 0.2142, decode.d8.loss_mask: 0.4860, decode.d8.loss_dice: 0.7458, loss: 15.9100, grad_norm: 64.7837 2023-11-22 13:24:29,588 - mmseg - INFO - Iter [99150/160000] lr: 3.622e-06, eta: 9:54:42, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2252, decode.loss_mask: 0.4809, decode.loss_dice: 0.6977, decode.d0.loss_cls: 1.3473, decode.d0.loss_mask: 0.5081, decode.d0.loss_dice: 0.7833, decode.d1.loss_cls: 0.3108, decode.d1.loss_mask: 0.5018, decode.d1.loss_dice: 0.7336, decode.d2.loss_cls: 0.2612, decode.d2.loss_mask: 0.4863, decode.d2.loss_dice: 0.7185, decode.d3.loss_cls: 0.2430, decode.d3.loss_mask: 0.4838, decode.d3.loss_dice: 0.7069, decode.d4.loss_cls: 0.2367, decode.d4.loss_mask: 0.4821, decode.d4.loss_dice: 0.6995, decode.d5.loss_cls: 0.2335, decode.d5.loss_mask: 0.4829, decode.d5.loss_dice: 0.7047, decode.d6.loss_cls: 0.2279, decode.d6.loss_mask: 0.4806, decode.d6.loss_dice: 0.7027, decode.d7.loss_cls: 0.2256, decode.d7.loss_mask: 0.4814, decode.d7.loss_dice: 0.7057, decode.d8.loss_cls: 0.2237, decode.d8.loss_mask: 0.4798, decode.d8.loss_dice: 0.7004, loss: 15.5559, grad_norm: 71.6989 2023-11-22 13:24:57,766 - mmseg - INFO - Iter [99200/160000] lr: 3.620e-06, eta: 9:54:12, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2245, decode.loss_mask: 0.4735, decode.loss_dice: 0.7098, decode.d0.loss_cls: 1.3366, decode.d0.loss_mask: 0.5111, decode.d0.loss_dice: 0.7967, decode.d1.loss_cls: 0.3129, decode.d1.loss_mask: 0.4931, decode.d1.loss_dice: 0.7500, decode.d2.loss_cls: 0.2643, decode.d2.loss_mask: 0.4860, decode.d2.loss_dice: 0.7292, decode.d3.loss_cls: 0.2448, decode.d3.loss_mask: 0.4795, decode.d3.loss_dice: 0.7169, decode.d4.loss_cls: 0.2348, decode.d4.loss_mask: 0.4793, decode.d4.loss_dice: 0.7160, decode.d5.loss_cls: 0.2333, decode.d5.loss_mask: 0.4775, decode.d5.loss_dice: 0.7128, decode.d6.loss_cls: 0.2309, decode.d6.loss_mask: 0.4768, decode.d6.loss_dice: 0.7104, decode.d7.loss_cls: 0.2264, decode.d7.loss_mask: 0.4754, decode.d7.loss_dice: 0.7080, decode.d8.loss_cls: 0.2258, decode.d8.loss_mask: 0.4763, decode.d8.loss_dice: 0.7107, loss: 15.6234, grad_norm: 67.1084 2023-11-22 13:25:26,272 - mmseg - INFO - Iter [99250/160000] lr: 3.617e-06, eta: 9:53:42, time: 0.570, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2175, decode.loss_mask: 0.4899, decode.loss_dice: 0.7060, decode.d0.loss_cls: 1.3572, decode.d0.loss_mask: 0.5256, decode.d0.loss_dice: 0.7918, decode.d1.loss_cls: 0.3051, decode.d1.loss_mask: 0.5084, decode.d1.loss_dice: 0.7447, decode.d2.loss_cls: 0.2506, decode.d2.loss_mask: 0.4968, decode.d2.loss_dice: 0.7261, decode.d3.loss_cls: 0.2374, decode.d3.loss_mask: 0.4908, decode.d3.loss_dice: 0.7138, decode.d4.loss_cls: 0.2271, decode.d4.loss_mask: 0.4931, decode.d4.loss_dice: 0.7185, decode.d5.loss_cls: 0.2272, decode.d5.loss_mask: 0.4911, decode.d5.loss_dice: 0.7163, decode.d6.loss_cls: 0.2260, decode.d6.loss_mask: 0.4891, decode.d6.loss_dice: 0.7090, decode.d7.loss_cls: 0.2232, decode.d7.loss_mask: 0.4904, decode.d7.loss_dice: 0.7085, decode.d8.loss_cls: 0.2179, decode.d8.loss_mask: 0.4895, decode.d8.loss_dice: 0.7076, loss: 15.6959, grad_norm: 69.0669 2023-11-22 13:25:54,546 - mmseg - INFO - Iter [99300/160000] lr: 3.614e-06, eta: 9:53:12, time: 0.566, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2237, decode.loss_mask: 0.4862, decode.loss_dice: 0.7072, decode.d0.loss_cls: 1.2881, decode.d0.loss_mask: 0.5167, decode.d0.loss_dice: 0.7763, decode.d1.loss_cls: 0.3106, decode.d1.loss_mask: 0.5051, decode.d1.loss_dice: 0.7373, decode.d2.loss_cls: 0.2592, decode.d2.loss_mask: 0.4944, decode.d2.loss_dice: 0.7211, decode.d3.loss_cls: 0.2408, decode.d3.loss_mask: 0.4895, decode.d3.loss_dice: 0.7113, decode.d4.loss_cls: 0.2313, decode.d4.loss_mask: 0.4890, decode.d4.loss_dice: 0.7153, decode.d5.loss_cls: 0.2298, decode.d5.loss_mask: 0.4861, decode.d5.loss_dice: 0.7070, decode.d6.loss_cls: 0.2247, decode.d6.loss_mask: 0.4875, decode.d6.loss_dice: 0.7089, decode.d7.loss_cls: 0.2180, decode.d7.loss_mask: 0.4879, decode.d7.loss_dice: 0.7068, decode.d8.loss_cls: 0.2183, decode.d8.loss_mask: 0.4852, decode.d8.loss_dice: 0.7064, loss: 15.5699, grad_norm: 70.1586 2023-11-22 13:26:22,979 - mmseg - INFO - Iter [99350/160000] lr: 3.611e-06, eta: 9:52:42, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2203, decode.loss_mask: 0.4599, decode.loss_dice: 0.6947, decode.d0.loss_cls: 1.3507, decode.d0.loss_mask: 0.4923, decode.d0.loss_dice: 0.7713, decode.d1.loss_cls: 0.3103, decode.d1.loss_mask: 0.4799, decode.d1.loss_dice: 0.7310, decode.d2.loss_cls: 0.2595, decode.d2.loss_mask: 0.4662, decode.d2.loss_dice: 0.7069, decode.d3.loss_cls: 0.2462, decode.d3.loss_mask: 0.4631, decode.d3.loss_dice: 0.6963, decode.d4.loss_cls: 0.2391, decode.d4.loss_mask: 0.4615, decode.d4.loss_dice: 0.6964, decode.d5.loss_cls: 0.2377, decode.d5.loss_mask: 0.4608, decode.d5.loss_dice: 0.6940, decode.d6.loss_cls: 0.2296, decode.d6.loss_mask: 0.4607, decode.d6.loss_dice: 0.6872, decode.d7.loss_cls: 0.2211, decode.d7.loss_mask: 0.4597, decode.d7.loss_dice: 0.6905, decode.d8.loss_cls: 0.2224, decode.d8.loss_mask: 0.4588, decode.d8.loss_dice: 0.6910, loss: 15.2590, grad_norm: 65.3410 2023-11-22 13:26:51,307 - mmseg - INFO - Iter [99400/160000] lr: 3.608e-06, eta: 9:52:12, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2235, decode.loss_mask: 0.4691, decode.loss_dice: 0.7156, decode.d0.loss_cls: 1.3342, decode.d0.loss_mask: 0.5049, decode.d0.loss_dice: 0.8057, decode.d1.loss_cls: 0.2999, decode.d1.loss_mask: 0.4848, decode.d1.loss_dice: 0.7607, decode.d2.loss_cls: 0.2599, decode.d2.loss_mask: 0.4772, decode.d2.loss_dice: 0.7374, decode.d3.loss_cls: 0.2483, decode.d3.loss_mask: 0.4727, decode.d3.loss_dice: 0.7216, decode.d4.loss_cls: 0.2360, decode.d4.loss_mask: 0.4721, decode.d4.loss_dice: 0.7229, decode.d5.loss_cls: 0.2310, decode.d5.loss_mask: 0.4699, decode.d5.loss_dice: 0.7235, decode.d6.loss_cls: 0.2312, decode.d6.loss_mask: 0.4681, decode.d6.loss_dice: 0.7182, decode.d7.loss_cls: 0.2290, decode.d7.loss_mask: 0.4690, decode.d7.loss_dice: 0.7180, decode.d8.loss_cls: 0.2216, decode.d8.loss_mask: 0.4687, decode.d8.loss_dice: 0.7173, loss: 15.6119, grad_norm: 64.9324 2023-11-22 13:27:19,970 - mmseg - INFO - Iter [99450/160000] lr: 3.605e-06, eta: 9:51:43, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2252, decode.loss_mask: 0.4831, decode.loss_dice: 0.7295, decode.d0.loss_cls: 1.3591, decode.d0.loss_mask: 0.5171, decode.d0.loss_dice: 0.8122, decode.d1.loss_cls: 0.3122, decode.d1.loss_mask: 0.4985, decode.d1.loss_dice: 0.7752, decode.d2.loss_cls: 0.2585, decode.d2.loss_mask: 0.4904, decode.d2.loss_dice: 0.7532, decode.d3.loss_cls: 0.2435, decode.d3.loss_mask: 0.4859, decode.d3.loss_dice: 0.7393, decode.d4.loss_cls: 0.2338, decode.d4.loss_mask: 0.4853, decode.d4.loss_dice: 0.7360, decode.d5.loss_cls: 0.2330, decode.d5.loss_mask: 0.4855, decode.d5.loss_dice: 0.7385, decode.d6.loss_cls: 0.2301, decode.d6.loss_mask: 0.4831, decode.d6.loss_dice: 0.7328, decode.d7.loss_cls: 0.2257, decode.d7.loss_mask: 0.4840, decode.d7.loss_dice: 0.7338, decode.d8.loss_cls: 0.2254, decode.d8.loss_mask: 0.4814, decode.d8.loss_dice: 0.7315, loss: 15.9228, grad_norm: 72.9974 2023-11-22 13:27:48,391 - mmseg - INFO - Iter [99500/160000] lr: 3.602e-06, eta: 9:51:13, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2261, decode.loss_mask: 0.4819, decode.loss_dice: 0.7262, decode.d0.loss_cls: 1.3655, decode.d0.loss_mask: 0.5186, decode.d0.loss_dice: 0.8133, decode.d1.loss_cls: 0.3172, decode.d1.loss_mask: 0.4985, decode.d1.loss_dice: 0.7597, decode.d2.loss_cls: 0.2667, decode.d2.loss_mask: 0.4881, decode.d2.loss_dice: 0.7380, decode.d3.loss_cls: 0.2500, decode.d3.loss_mask: 0.4805, decode.d3.loss_dice: 0.7286, decode.d4.loss_cls: 0.2361, decode.d4.loss_mask: 0.4839, decode.d4.loss_dice: 0.7325, decode.d5.loss_cls: 0.2321, decode.d5.loss_mask: 0.4828, decode.d5.loss_dice: 0.7281, decode.d6.loss_cls: 0.2255, decode.d6.loss_mask: 0.4824, decode.d6.loss_dice: 0.7226, decode.d7.loss_cls: 0.2265, decode.d7.loss_mask: 0.4820, decode.d7.loss_dice: 0.7276, decode.d8.loss_cls: 0.2235, decode.d8.loss_mask: 0.4817, decode.d8.loss_dice: 0.7249, loss: 15.8512, grad_norm: 70.2185 2023-11-22 13:28:16,771 - mmseg - INFO - Iter [99550/160000] lr: 3.599e-06, eta: 9:50:43, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2430, decode.loss_mask: 0.4800, decode.loss_dice: 0.7411, decode.d0.loss_cls: 1.3574, decode.d0.loss_mask: 0.5224, decode.d0.loss_dice: 0.8397, decode.d1.loss_cls: 0.3395, decode.d1.loss_mask: 0.4982, decode.d1.loss_dice: 0.7852, decode.d2.loss_cls: 0.2849, decode.d2.loss_mask: 0.4868, decode.d2.loss_dice: 0.7652, decode.d3.loss_cls: 0.2629, decode.d3.loss_mask: 0.4852, decode.d3.loss_dice: 0.7475, decode.d4.loss_cls: 0.2504, decode.d4.loss_mask: 0.4832, decode.d4.loss_dice: 0.7493, decode.d5.loss_cls: 0.2471, decode.d5.loss_mask: 0.4822, decode.d5.loss_dice: 0.7439, decode.d6.loss_cls: 0.2428, decode.d6.loss_mask: 0.4808, decode.d6.loss_dice: 0.7438, decode.d7.loss_cls: 0.2418, decode.d7.loss_mask: 0.4813, decode.d7.loss_dice: 0.7432, decode.d8.loss_cls: 0.2429, decode.d8.loss_mask: 0.4805, decode.d8.loss_dice: 0.7415, loss: 16.1936, grad_norm: 66.6468 2023-11-22 13:28:45,004 - mmseg - INFO - Iter [99600/160000] lr: 3.596e-06, eta: 9:50:13, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2371, decode.loss_mask: 0.4849, decode.loss_dice: 0.7315, decode.d0.loss_cls: 1.3496, decode.d0.loss_mask: 0.5223, decode.d0.loss_dice: 0.8210, decode.d1.loss_cls: 0.3248, decode.d1.loss_mask: 0.5051, decode.d1.loss_dice: 0.7765, decode.d2.loss_cls: 0.2760, decode.d2.loss_mask: 0.4951, decode.d2.loss_dice: 0.7546, decode.d3.loss_cls: 0.2631, decode.d3.loss_mask: 0.4888, decode.d3.loss_dice: 0.7376, decode.d4.loss_cls: 0.2509, decode.d4.loss_mask: 0.4878, decode.d4.loss_dice: 0.7377, decode.d5.loss_cls: 0.2501, decode.d5.loss_mask: 0.4866, decode.d5.loss_dice: 0.7305, decode.d6.loss_cls: 0.2454, decode.d6.loss_mask: 0.4875, decode.d6.loss_dice: 0.7345, decode.d7.loss_cls: 0.2417, decode.d7.loss_mask: 0.4862, decode.d7.loss_dice: 0.7298, decode.d8.loss_cls: 0.2385, decode.d8.loss_mask: 0.4855, decode.d8.loss_dice: 0.7319, loss: 16.0927, grad_norm: 73.3087 2023-11-22 13:29:13,260 - mmseg - INFO - Iter [99650/160000] lr: 3.593e-06, eta: 9:49:43, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2137, decode.loss_mask: 0.4869, decode.loss_dice: 0.7087, decode.d0.loss_cls: 1.3063, decode.d0.loss_mask: 0.5200, decode.d0.loss_dice: 0.7898, decode.d1.loss_cls: 0.2948, decode.d1.loss_mask: 0.4999, decode.d1.loss_dice: 0.7478, decode.d2.loss_cls: 0.2460, decode.d2.loss_mask: 0.4922, decode.d2.loss_dice: 0.7305, decode.d3.loss_cls: 0.2289, decode.d3.loss_mask: 0.4900, decode.d3.loss_dice: 0.7163, decode.d4.loss_cls: 0.2260, decode.d4.loss_mask: 0.4860, decode.d4.loss_dice: 0.7128, decode.d5.loss_cls: 0.2231, decode.d5.loss_mask: 0.4862, decode.d5.loss_dice: 0.7157, decode.d6.loss_cls: 0.2176, decode.d6.loss_mask: 0.4864, decode.d6.loss_dice: 0.7119, decode.d7.loss_cls: 0.2160, decode.d7.loss_mask: 0.4872, decode.d7.loss_dice: 0.7104, decode.d8.loss_cls: 0.2155, decode.d8.loss_mask: 0.4858, decode.d8.loss_dice: 0.7096, loss: 15.5618, grad_norm: 74.9380 2023-11-22 13:29:41,614 - mmseg - INFO - Iter [99700/160000] lr: 3.590e-06, eta: 9:49:13, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2329, decode.loss_mask: 0.4702, decode.loss_dice: 0.7166, decode.d0.loss_cls: 1.3428, decode.d0.loss_mask: 0.5038, decode.d0.loss_dice: 0.8001, decode.d1.loss_cls: 0.3156, decode.d1.loss_mask: 0.4936, decode.d1.loss_dice: 0.7577, decode.d2.loss_cls: 0.2694, decode.d2.loss_mask: 0.4808, decode.d2.loss_dice: 0.7389, decode.d3.loss_cls: 0.2477, decode.d3.loss_mask: 0.4769, decode.d3.loss_dice: 0.7265, decode.d4.loss_cls: 0.2393, decode.d4.loss_mask: 0.4786, decode.d4.loss_dice: 0.7247, decode.d5.loss_cls: 0.2380, decode.d5.loss_mask: 0.4777, decode.d5.loss_dice: 0.7226, decode.d6.loss_cls: 0.2330, decode.d6.loss_mask: 0.4741, decode.d6.loss_dice: 0.7173, decode.d7.loss_cls: 0.2323, decode.d7.loss_mask: 0.4734, decode.d7.loss_dice: 0.7178, decode.d8.loss_cls: 0.2368, decode.d8.loss_mask: 0.4730, decode.d8.loss_dice: 0.7186, loss: 15.7308, grad_norm: 70.7532 2023-11-22 13:30:10,360 - mmseg - INFO - Iter [99750/160000] lr: 3.587e-06, eta: 9:48:44, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2329, decode.loss_mask: 0.4726, decode.loss_dice: 0.7196, decode.d0.loss_cls: 1.3190, decode.d0.loss_mask: 0.5092, decode.d0.loss_dice: 0.8003, decode.d1.loss_cls: 0.3083, decode.d1.loss_mask: 0.4903, decode.d1.loss_dice: 0.7518, decode.d2.loss_cls: 0.2725, decode.d2.loss_mask: 0.4800, decode.d2.loss_dice: 0.7377, decode.d3.loss_cls: 0.2548, decode.d3.loss_mask: 0.4750, decode.d3.loss_dice: 0.7232, decode.d4.loss_cls: 0.2442, decode.d4.loss_mask: 0.4765, decode.d4.loss_dice: 0.7202, decode.d5.loss_cls: 0.2409, decode.d5.loss_mask: 0.4740, decode.d5.loss_dice: 0.7218, decode.d6.loss_cls: 0.2382, decode.d6.loss_mask: 0.4746, decode.d6.loss_dice: 0.7149, decode.d7.loss_cls: 0.2394, decode.d7.loss_mask: 0.4728, decode.d7.loss_dice: 0.7170, decode.d8.loss_cls: 0.2327, decode.d8.loss_mask: 0.4719, decode.d8.loss_dice: 0.7160, loss: 15.7027, grad_norm: 67.9798 2023-11-22 13:30:41,013 - mmseg - INFO - Iter [99800/160000] lr: 3.584e-06, eta: 9:48:15, time: 0.613, data_time: 0.060, memory: 38143, decode.loss_cls: 0.2247, decode.loss_mask: 0.4773, decode.loss_dice: 0.7294, decode.d0.loss_cls: 1.3231, decode.d0.loss_mask: 0.5130, decode.d0.loss_dice: 0.8091, decode.d1.loss_cls: 0.3042, decode.d1.loss_mask: 0.4958, decode.d1.loss_dice: 0.7679, decode.d2.loss_cls: 0.2619, decode.d2.loss_mask: 0.4829, decode.d2.loss_dice: 0.7506, decode.d3.loss_cls: 0.2341, decode.d3.loss_mask: 0.4817, decode.d3.loss_dice: 0.7403, decode.d4.loss_cls: 0.2324, decode.d4.loss_mask: 0.4801, decode.d4.loss_dice: 0.7331, decode.d5.loss_cls: 0.2298, decode.d5.loss_mask: 0.4794, decode.d5.loss_dice: 0.7356, decode.d6.loss_cls: 0.2272, decode.d6.loss_mask: 0.4784, decode.d6.loss_dice: 0.7360, decode.d7.loss_cls: 0.2227, decode.d7.loss_mask: 0.4785, decode.d7.loss_dice: 0.7320, decode.d8.loss_cls: 0.2210, decode.d8.loss_mask: 0.4782, decode.d8.loss_dice: 0.7350, loss: 15.7958, grad_norm: 71.0590 2023-11-22 13:31:09,313 - mmseg - INFO - Iter [99850/160000] lr: 3.581e-06, eta: 9:47:45, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2123, decode.loss_mask: 0.4621, decode.loss_dice: 0.7041, decode.d0.loss_cls: 1.3071, decode.d0.loss_mask: 0.4942, decode.d0.loss_dice: 0.7769, decode.d1.loss_cls: 0.2964, decode.d1.loss_mask: 0.4822, decode.d1.loss_dice: 0.7459, decode.d2.loss_cls: 0.2474, decode.d2.loss_mask: 0.4695, decode.d2.loss_dice: 0.7248, decode.d3.loss_cls: 0.2329, decode.d3.loss_mask: 0.4655, decode.d3.loss_dice: 0.7094, decode.d4.loss_cls: 0.2307, decode.d4.loss_mask: 0.4639, decode.d4.loss_dice: 0.7077, decode.d5.loss_cls: 0.2188, decode.d5.loss_mask: 0.4629, decode.d5.loss_dice: 0.7114, decode.d6.loss_cls: 0.2138, decode.d6.loss_mask: 0.4620, decode.d6.loss_dice: 0.7068, decode.d7.loss_cls: 0.2123, decode.d7.loss_mask: 0.4612, decode.d7.loss_dice: 0.7049, decode.d8.loss_cls: 0.2125, decode.d8.loss_mask: 0.4624, decode.d8.loss_dice: 0.7041, loss: 15.2662, grad_norm: 62.6802 2023-11-22 13:31:37,549 - mmseg - INFO - Iter [99900/160000] lr: 3.578e-06, eta: 9:47:15, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2170, decode.loss_mask: 0.4811, decode.loss_dice: 0.7070, decode.d0.loss_cls: 1.3342, decode.d0.loss_mask: 0.5133, decode.d0.loss_dice: 0.7866, decode.d1.loss_cls: 0.2914, decode.d1.loss_mask: 0.4989, decode.d1.loss_dice: 0.7433, decode.d2.loss_cls: 0.2530, decode.d2.loss_mask: 0.4913, decode.d2.loss_dice: 0.7267, decode.d3.loss_cls: 0.2326, decode.d3.loss_mask: 0.4861, decode.d3.loss_dice: 0.7140, decode.d4.loss_cls: 0.2309, decode.d4.loss_mask: 0.4838, decode.d4.loss_dice: 0.7105, decode.d5.loss_cls: 0.2257, decode.d5.loss_mask: 0.4837, decode.d5.loss_dice: 0.7123, decode.d6.loss_cls: 0.2199, decode.d6.loss_mask: 0.4841, decode.d6.loss_dice: 0.7084, decode.d7.loss_cls: 0.2206, decode.d7.loss_mask: 0.4827, decode.d7.loss_dice: 0.7096, decode.d8.loss_cls: 0.2195, decode.d8.loss_mask: 0.4819, decode.d8.loss_dice: 0.7079, loss: 15.5579, grad_norm: 71.4959 2023-11-22 13:32:05,731 - mmseg - INFO - Iter [99950/160000] lr: 3.575e-06, eta: 9:46:45, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2246, decode.loss_mask: 0.4853, decode.loss_dice: 0.7176, decode.d0.loss_cls: 1.3281, decode.d0.loss_mask: 0.5170, decode.d0.loss_dice: 0.7913, decode.d1.loss_cls: 0.3077, decode.d1.loss_mask: 0.5007, decode.d1.loss_dice: 0.7493, decode.d2.loss_cls: 0.2621, decode.d2.loss_mask: 0.4919, decode.d2.loss_dice: 0.7305, decode.d3.loss_cls: 0.2465, decode.d3.loss_mask: 0.4894, decode.d3.loss_dice: 0.7176, decode.d4.loss_cls: 0.2421, decode.d4.loss_mask: 0.4882, decode.d4.loss_dice: 0.7155, decode.d5.loss_cls: 0.2371, decode.d5.loss_mask: 0.4872, decode.d5.loss_dice: 0.7124, decode.d6.loss_cls: 0.2301, decode.d6.loss_mask: 0.4870, decode.d6.loss_dice: 0.7134, decode.d7.loss_cls: 0.2229, decode.d7.loss_mask: 0.4864, decode.d7.loss_dice: 0.7177, decode.d8.loss_cls: 0.2240, decode.d8.loss_mask: 0.4849, decode.d8.loss_dice: 0.7127, loss: 15.7214, grad_norm: 71.7907 2023-11-22 13:32:34,173 - mmseg - INFO - Saving checkpoint at 100000 iterations 2023-11-22 13:32:42,782 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 13:32:42,782 - mmseg - INFO - Iter [100000/160000] lr: 3.572e-06, eta: 9:46:20, time: 0.741, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2216, decode.loss_mask: 0.4768, decode.loss_dice: 0.7078, decode.d0.loss_cls: 1.3314, decode.d0.loss_mask: 0.5099, decode.d0.loss_dice: 0.7918, decode.d1.loss_cls: 0.3049, decode.d1.loss_mask: 0.4944, decode.d1.loss_dice: 0.7525, decode.d2.loss_cls: 0.2533, decode.d2.loss_mask: 0.4816, decode.d2.loss_dice: 0.7257, decode.d3.loss_cls: 0.2381, decode.d3.loss_mask: 0.4770, decode.d3.loss_dice: 0.7118, decode.d4.loss_cls: 0.2318, decode.d4.loss_mask: 0.4771, decode.d4.loss_dice: 0.7126, decode.d5.loss_cls: 0.2271, decode.d5.loss_mask: 0.4776, decode.d5.loss_dice: 0.7136, decode.d6.loss_cls: 0.2225, decode.d6.loss_mask: 0.4745, decode.d6.loss_dice: 0.7097, decode.d7.loss_cls: 0.2231, decode.d7.loss_mask: 0.4752, decode.d7.loss_dice: 0.7090, decode.d8.loss_cls: 0.2225, decode.d8.loss_mask: 0.4753, decode.d8.loss_dice: 0.7095, loss: 15.5394, grad_norm: 72.7854 2023-11-22 13:33:02,269 - mmseg - INFO - per class results: 2023-11-22 13:33:02,274 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.91 | 88.4 | | building | 83.54 | 90.69 | | sky | 95.11 | 97.67 | | floor | 84.3 | 91.13 | | tree | 76.07 | 87.36 | | ceiling | 85.23 | 92.12 | | road | 87.16 | 91.82 | | bed | 91.99 | 96.06 | | windowpane | 63.05 | 82.03 | | grass | 69.58 | 82.66 | | cabinet | 65.48 | 76.97 | | sidewalk | 68.49 | 84.34 | | person | 86.15 | 93.09 | | earth | 41.25 | 56.8 | | door | 57.44 | 72.59 | | table | 66.85 | 80.89 | | mountain | 58.36 | 70.68 | | plant | 53.39 | 67.38 | | curtain | 74.54 | 86.02 | | chair | 65.25 | 77.0 | | car | 87.8 | 94.41 | | water | 54.16 | 69.24 | | painting | 71.5 | 90.31 | | sofa | 79.77 | 89.62 | | shelf | 44.52 | 60.55 | | house | 38.31 | 60.44 | | sea | 64.84 | 90.44 | | mirror | 75.58 | 83.14 | | rug | 69.06 | 82.57 | | field | 36.45 | 60.75 | | armchair | 56.79 | 78.32 | | seat | 65.12 | 84.41 | | fence | 52.05 | 68.92 | | desk | 51.04 | 71.71 | | rock | 49.78 | 72.04 | | wardrobe | 50.07 | 66.98 | | lamp | 72.15 | 82.24 | | bathtub | 79.88 | 86.22 | | railing | 40.49 | 57.37 | | cushion | 67.96 | 77.71 | | base | 38.73 | 69.28 | | box | 32.7 | 45.87 | | column | 49.1 | 73.14 | | signboard | 41.1 | 61.3 | | chest of drawers | 42.97 | 66.27 | | counter | 47.35 | 59.46 | | sand | 48.49 | 59.79 | | sink | 80.43 | 85.2 | | skyscraper | 62.32 | 79.79 | | fireplace | 72.63 | 91.04 | | refrigerator | 82.12 | 90.24 | | grandstand | 42.61 | 73.38 | | path | 21.44 | 35.39 | | stairs | 48.01 | 60.53 | | runway | 74.77 | 95.08 | | case | 62.25 | 86.3 | | pool table | 84.06 | 97.25 | | pillow | 64.28 | 76.59 | | screen door | 79.73 | 89.06 | | stairway | 40.29 | 46.99 | | river | 15.48 | 26.73 | | bridge | 77.87 | 92.66 | | bookcase | 29.99 | 45.15 | | blind | 37.44 | 41.96 | | coffee table | 66.71 | 88.36 | | toilet | 91.12 | 93.65 | | flower | 42.1 | 59.08 | | book | 53.41 | 77.07 | | hill | 9.85 | 14.45 | | bench | 65.43 | 75.1 | | countertop | 61.88 | 74.72 | | stove | 87.61 | 90.99 | | palm | 54.59 | 83.73 | | kitchen island | 42.06 | 89.64 | | computer | 74.28 | 82.72 | | swivel chair | 44.48 | 61.22 | | boat | 35.41 | 58.71 | | bar | 61.63 | 68.16 | | arcade machine | 65.39 | 69.32 | | hovel | 51.79 | 76.43 | | bus | 94.89 | 97.05 | | towel | 77.82 | 87.52 | | light | 66.24 | 79.31 | | truck | 42.79 | 56.83 | | tower | 31.58 | 52.95 | | chandelier | 67.96 | 81.84 | | awning | 38.86 | 53.86 | | streetlight | 49.25 | 64.39 | | booth | 49.65 | 68.9 | | television receiver | 80.34 | 89.62 | | airplane | 72.36 | 77.0 | | dirt track | 7.26 | 10.05 | | apparel | 51.97 | 67.74 | | pole | 41.92 | 64.25 | | land | 5.13 | 7.12 | | bannister | 17.27 | 29.39 | | escalator | 24.07 | 26.84 | | ottoman | 48.27 | 69.42 | | bottle | 36.38 | 63.84 | | buffet | 44.5 | 55.03 | | poster | 33.04 | 50.84 | | stage | 26.42 | 48.67 | | van | 46.9 | 65.43 | | ship | 5.11 | 10.83 | | fountain | 21.5 | 21.85 | | conveyer belt | 69.56 | 91.78 | | canopy | 30.09 | 51.88 | | washer | 72.1 | 73.4 | | plaything | 53.28 | 71.75 | | swimming pool | 64.23 | 70.56 | | stool | 51.67 | 71.24 | | barrel | 89.42 | 98.36 | | basket | 44.38 | 60.47 | | waterfall | 65.43 | 90.05 | | tent | 95.33 | 98.28 | | bag | 28.77 | 41.89 | | minibike | 73.12 | 89.95 | | cradle | 90.42 | 97.61 | | oven | 28.63 | 82.96 | | ball | 56.1 | 61.75 | | food | 59.85 | 66.46 | | step | 26.15 | 35.02 | | tank | 59.22 | 66.17 | | trade name | 29.88 | 36.05 | | microwave | 43.92 | 45.87 | | pot | 58.01 | 69.18 | | animal | 61.18 | 62.9 | | bicycle | 62.04 | 79.46 | | lake | 0.0 | 0.0 | | dishwasher | 77.79 | 83.29 | | screen | 57.96 | 92.76 | | blanket | 39.79 | 50.85 | | sculpture | 55.74 | 88.87 | | hood | 82.78 | 91.63 | | sconce | 60.94 | 73.93 | | vase | 58.57 | 75.04 | | traffic light | 46.58 | 69.95 | | tray | 21.09 | 30.7 | | ashcan | 51.71 | 74.96 | | fan | 72.12 | 85.59 | | pier | 14.97 | 16.51 | | crt screen | 0.35 | 1.01 | | plate | 64.85 | 80.27 | | monitor | 2.0 | 2.76 | | bulletin board | 56.61 | 77.77 | | shower | 15.61 | 23.76 | | radiator | 68.77 | 87.69 | | glass | 23.92 | 26.12 | | clock | 58.0 | 69.14 | | flag | 71.4 | 85.21 | +---------------------+-------+-------+ 2023-11-22 13:33:02,274 - mmseg - INFO - Summary: 2023-11-22 13:33:02,275 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.97 | 54.94 | 68.71 | +-------+-------+-------+ 2023-11-22 13:33:02,275 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 13:33:02,276 - mmseg - INFO - Iter(val) [250] aAcc: 0.8497, mIoU: 0.5494, mAcc: 0.6871, IoU.wall: 0.8091, IoU.building: 0.8354, IoU.sky: 0.9511, IoU.floor: 0.8430, IoU.tree: 0.7607, IoU.ceiling: 0.8523, IoU.road: 0.8716, IoU.bed : 0.9199, IoU.windowpane: 0.6305, IoU.grass: 0.6958, IoU.cabinet: 0.6548, IoU.sidewalk: 0.6849, IoU.person: 0.8615, IoU.earth: 0.4125, IoU.door: 0.5744, IoU.table: 0.6685, IoU.mountain: 0.5836, IoU.plant: 0.5339, IoU.curtain: 0.7454, IoU.chair: 0.6525, IoU.car: 0.8780, IoU.water: 0.5416, IoU.painting: 0.7150, IoU.sofa: 0.7977, IoU.shelf: 0.4452, IoU.house: 0.3831, IoU.sea: 0.6484, IoU.mirror: 0.7558, IoU.rug: 0.6906, IoU.field: 0.3645, IoU.armchair: 0.5679, IoU.seat: 0.6512, IoU.fence: 0.5205, IoU.desk: 0.5104, IoU.rock: 0.4978, IoU.wardrobe: 0.5007, IoU.lamp: 0.7215, IoU.bathtub: 0.7988, IoU.railing: 0.4049, IoU.cushion: 0.6796, IoU.base: 0.3873, IoU.box: 0.3270, IoU.column: 0.4910, IoU.signboard: 0.4110, IoU.chest of drawers: 0.4297, IoU.counter: 0.4735, IoU.sand: 0.4849, IoU.sink: 0.8043, IoU.skyscraper: 0.6232, IoU.fireplace: 0.7263, IoU.refrigerator: 0.8212, IoU.grandstand: 0.4261, IoU.path: 0.2144, IoU.stairs: 0.4801, IoU.runway: 0.7477, IoU.case: 0.6225, IoU.pool table: 0.8406, IoU.pillow: 0.6428, IoU.screen door: 0.7973, IoU.stairway: 0.4029, IoU.river: 0.1548, IoU.bridge: 0.7787, IoU.bookcase: 0.2999, IoU.blind: 0.3744, IoU.coffee table: 0.6671, IoU.toilet: 0.9112, IoU.flower: 0.4210, IoU.book: 0.5341, IoU.hill: 0.0985, IoU.bench: 0.6543, IoU.countertop: 0.6188, IoU.stove: 0.8761, IoU.palm: 0.5459, IoU.kitchen island: 0.4206, IoU.computer: 0.7428, IoU.swivel chair: 0.4448, IoU.boat: 0.3541, IoU.bar: 0.6163, IoU.arcade machine: 0.6539, IoU.hovel: 0.5179, IoU.bus: 0.9489, IoU.towel: 0.7782, IoU.light: 0.6624, IoU.truck: 0.4279, IoU.tower: 0.3158, IoU.chandelier: 0.6796, IoU.awning: 0.3886, IoU.streetlight: 0.4925, IoU.booth: 0.4965, IoU.television receiver: 0.8034, IoU.airplane: 0.7236, IoU.dirt track: 0.0726, IoU.apparel: 0.5197, IoU.pole: 0.4192, IoU.land: 0.0513, IoU.bannister: 0.1727, IoU.escalator: 0.2407, IoU.ottoman: 0.4827, IoU.bottle: 0.3638, IoU.buffet: 0.4450, IoU.poster: 0.3304, IoU.stage: 0.2642, IoU.van: 0.4690, IoU.ship: 0.0511, IoU.fountain: 0.2150, IoU.conveyer belt: 0.6956, IoU.canopy: 0.3009, IoU.washer: 0.7210, IoU.plaything: 0.5328, IoU.swimming pool: 0.6423, IoU.stool: 0.5167, IoU.barrel: 0.8942, IoU.basket: 0.4438, IoU.waterfall: 0.6543, IoU.tent: 0.9533, IoU.bag: 0.2877, IoU.minibike: 0.7312, IoU.cradle: 0.9042, IoU.oven: 0.2863, IoU.ball: 0.5610, IoU.food: 0.5985, IoU.step: 0.2615, IoU.tank: 0.5922, IoU.trade name: 0.2988, IoU.microwave: 0.4392, IoU.pot: 0.5801, IoU.animal: 0.6118, IoU.bicycle: 0.6204, IoU.lake: 0.0000, IoU.dishwasher: 0.7779, IoU.screen: 0.5796, IoU.blanket: 0.3979, IoU.sculpture: 0.5574, IoU.hood: 0.8278, IoU.sconce: 0.6094, IoU.vase: 0.5857, IoU.traffic light: 0.4658, IoU.tray: 0.2109, IoU.ashcan: 0.5171, IoU.fan: 0.7212, IoU.pier: 0.1497, IoU.crt screen: 0.0035, IoU.plate: 0.6485, IoU.monitor: 0.0200, IoU.bulletin board: 0.5661, IoU.shower: 0.1561, IoU.radiator: 0.6877, IoU.glass: 0.2392, IoU.clock: 0.5800, IoU.flag: 0.7140, Acc.wall: 0.8840, Acc.building: 0.9069, Acc.sky: 0.9767, Acc.floor: 0.9113, Acc.tree: 0.8736, Acc.ceiling: 0.9212, Acc.road: 0.9182, Acc.bed : 0.9606, Acc.windowpane: 0.8203, Acc.grass: 0.8266, Acc.cabinet: 0.7697, Acc.sidewalk: 0.8434, Acc.person: 0.9309, Acc.earth: 0.5680, Acc.door: 0.7259, Acc.table: 0.8089, Acc.mountain: 0.7068, Acc.plant: 0.6738, Acc.curtain: 0.8602, Acc.chair: 0.7700, Acc.car: 0.9441, Acc.water: 0.6924, Acc.painting: 0.9031, Acc.sofa: 0.8962, Acc.shelf: 0.6055, Acc.house: 0.6044, Acc.sea: 0.9044, Acc.mirror: 0.8314, Acc.rug: 0.8257, Acc.field: 0.6075, Acc.armchair: 0.7832, Acc.seat: 0.8441, Acc.fence: 0.6892, Acc.desk: 0.7171, Acc.rock: 0.7204, Acc.wardrobe: 0.6698, Acc.lamp: 0.8224, Acc.bathtub: 0.8622, Acc.railing: 0.5737, Acc.cushion: 0.7771, Acc.base: 0.6928, Acc.box: 0.4587, Acc.column: 0.7314, Acc.signboard: 0.6130, Acc.chest of drawers: 0.6627, Acc.counter: 0.5946, Acc.sand: 0.5979, Acc.sink: 0.8520, Acc.skyscraper: 0.7979, Acc.fireplace: 0.9104, Acc.refrigerator: 0.9024, Acc.grandstand: 0.7338, Acc.path: 0.3539, Acc.stairs: 0.6053, Acc.runway: 0.9508, Acc.case: 0.8630, Acc.pool table: 0.9725, Acc.pillow: 0.7659, Acc.screen door: 0.8906, Acc.stairway: 0.4699, Acc.river: 0.2673, Acc.bridge: 0.9266, Acc.bookcase: 0.4515, Acc.blind: 0.4196, Acc.coffee table: 0.8836, Acc.toilet: 0.9365, Acc.flower: 0.5908, Acc.book: 0.7707, Acc.hill: 0.1445, Acc.bench: 0.7510, Acc.countertop: 0.7472, Acc.stove: 0.9099, Acc.palm: 0.8373, Acc.kitchen island: 0.8964, Acc.computer: 0.8272, Acc.swivel chair: 0.6122, Acc.boat: 0.5871, Acc.bar: 0.6816, Acc.arcade machine: 0.6932, Acc.hovel: 0.7643, Acc.bus: 0.9705, Acc.towel: 0.8752, Acc.light: 0.7931, Acc.truck: 0.5683, Acc.tower: 0.5295, Acc.chandelier: 0.8184, Acc.awning: 0.5386, Acc.streetlight: 0.6439, Acc.booth: 0.6890, Acc.television receiver: 0.8962, Acc.airplane: 0.7700, Acc.dirt track: 0.1005, Acc.apparel: 0.6774, Acc.pole: 0.6425, Acc.land: 0.0712, Acc.bannister: 0.2939, Acc.escalator: 0.2684, Acc.ottoman: 0.6942, Acc.bottle: 0.6384, Acc.buffet: 0.5503, Acc.poster: 0.5084, Acc.stage: 0.4867, Acc.van: 0.6543, Acc.ship: 0.1083, Acc.fountain: 0.2185, Acc.conveyer belt: 0.9178, Acc.canopy: 0.5188, Acc.washer: 0.7340, Acc.plaything: 0.7175, Acc.swimming pool: 0.7056, Acc.stool: 0.7124, Acc.barrel: 0.9836, Acc.basket: 0.6047, Acc.waterfall: 0.9005, Acc.tent: 0.9828, Acc.bag: 0.4189, Acc.minibike: 0.8995, Acc.cradle: 0.9761, Acc.oven: 0.8296, Acc.ball: 0.6175, Acc.food: 0.6646, Acc.step: 0.3502, Acc.tank: 0.6617, Acc.trade name: 0.3605, Acc.microwave: 0.4587, Acc.pot: 0.6918, Acc.animal: 0.6290, Acc.bicycle: 0.7946, Acc.lake: 0.0000, Acc.dishwasher: 0.8329, Acc.screen: 0.9276, Acc.blanket: 0.5085, Acc.sculpture: 0.8887, Acc.hood: 0.9163, Acc.sconce: 0.7393, Acc.vase: 0.7504, Acc.traffic light: 0.6995, Acc.tray: 0.3070, Acc.ashcan: 0.7496, Acc.fan: 0.8559, Acc.pier: 0.1651, Acc.crt screen: 0.0101, Acc.plate: 0.8027, Acc.monitor: 0.0276, Acc.bulletin board: 0.7777, Acc.shower: 0.2376, Acc.radiator: 0.8769, Acc.glass: 0.2612, Acc.clock: 0.6914, Acc.flag: 0.8521 2023-11-22 13:33:30,663 - mmseg - INFO - Iter [100050/160000] lr: 3.569e-06, eta: 9:46:02, time: 0.958, data_time: 0.402, memory: 38143, decode.loss_cls: 0.2147, decode.loss_mask: 0.4820, decode.loss_dice: 0.7307, decode.d0.loss_cls: 1.3177, decode.d0.loss_mask: 0.5164, decode.d0.loss_dice: 0.8014, decode.d1.loss_cls: 0.2981, decode.d1.loss_mask: 0.4962, decode.d1.loss_dice: 0.7613, decode.d2.loss_cls: 0.2472, decode.d2.loss_mask: 0.4879, decode.d2.loss_dice: 0.7453, decode.d3.loss_cls: 0.2305, decode.d3.loss_mask: 0.4856, decode.d3.loss_dice: 0.7336, decode.d4.loss_cls: 0.2237, decode.d4.loss_mask: 0.4841, decode.d4.loss_dice: 0.7364, decode.d5.loss_cls: 0.2218, decode.d5.loss_mask: 0.4803, decode.d5.loss_dice: 0.7334, decode.d6.loss_cls: 0.2146, decode.d6.loss_mask: 0.4821, decode.d6.loss_dice: 0.7281, decode.d7.loss_cls: 0.2222, decode.d7.loss_mask: 0.4824, decode.d7.loss_dice: 0.7252, decode.d8.loss_cls: 0.2121, decode.d8.loss_mask: 0.4844, decode.d8.loss_dice: 0.7301, loss: 15.7093, grad_norm: 68.5044 2023-11-22 13:33:59,038 - mmseg - INFO - Iter [100100/160000] lr: 3.566e-06, eta: 9:45:32, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2348, decode.loss_mask: 0.4643, decode.loss_dice: 0.7184, decode.d0.loss_cls: 1.3247, decode.d0.loss_mask: 0.4981, decode.d0.loss_dice: 0.7982, decode.d1.loss_cls: 0.3168, decode.d1.loss_mask: 0.4740, decode.d1.loss_dice: 0.7510, decode.d2.loss_cls: 0.2670, decode.d2.loss_mask: 0.4717, decode.d2.loss_dice: 0.7344, decode.d3.loss_cls: 0.2512, decode.d3.loss_mask: 0.4669, decode.d3.loss_dice: 0.7185, decode.d4.loss_cls: 0.2422, decode.d4.loss_mask: 0.4649, decode.d4.loss_dice: 0.7211, decode.d5.loss_cls: 0.2365, decode.d5.loss_mask: 0.4653, decode.d5.loss_dice: 0.7204, decode.d6.loss_cls: 0.2337, decode.d6.loss_mask: 0.4644, decode.d6.loss_dice: 0.7181, decode.d7.loss_cls: 0.2335, decode.d7.loss_mask: 0.4638, decode.d7.loss_dice: 0.7173, decode.d8.loss_cls: 0.2285, decode.d8.loss_mask: 0.4639, decode.d8.loss_dice: 0.7223, loss: 15.5860, grad_norm: 63.1777 2023-11-22 13:34:27,390 - mmseg - INFO - Iter [100150/160000] lr: 3.563e-06, eta: 9:45:02, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2371, decode.loss_mask: 0.4554, decode.loss_dice: 0.7218, decode.d0.loss_cls: 1.3216, decode.d0.loss_mask: 0.4929, decode.d0.loss_dice: 0.8047, decode.d1.loss_cls: 0.3157, decode.d1.loss_mask: 0.4746, decode.d1.loss_dice: 0.7549, decode.d2.loss_cls: 0.2684, decode.d2.loss_mask: 0.4632, decode.d2.loss_dice: 0.7363, decode.d3.loss_cls: 0.2577, decode.d3.loss_mask: 0.4608, decode.d3.loss_dice: 0.7206, decode.d4.loss_cls: 0.2542, decode.d4.loss_mask: 0.4586, decode.d4.loss_dice: 0.7214, decode.d5.loss_cls: 0.2421, decode.d5.loss_mask: 0.4574, decode.d5.loss_dice: 0.7220, decode.d6.loss_cls: 0.2405, decode.d6.loss_mask: 0.4563, decode.d6.loss_dice: 0.7134, decode.d7.loss_cls: 0.2406, decode.d7.loss_mask: 0.4561, decode.d7.loss_dice: 0.7172, decode.d8.loss_cls: 0.2402, decode.d8.loss_mask: 0.4539, decode.d8.loss_dice: 0.7149, loss: 15.5747, grad_norm: 66.6259 2023-11-22 13:34:55,704 - mmseg - INFO - Iter [100200/160000] lr: 3.560e-06, eta: 9:44:33, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2073, decode.loss_mask: 0.4711, decode.loss_dice: 0.6905, decode.d0.loss_cls: 1.3228, decode.d0.loss_mask: 0.5105, decode.d0.loss_dice: 0.7708, decode.d1.loss_cls: 0.2827, decode.d1.loss_mask: 0.4914, decode.d1.loss_dice: 0.7203, decode.d2.loss_cls: 0.2371, decode.d2.loss_mask: 0.4827, decode.d2.loss_dice: 0.7117, decode.d3.loss_cls: 0.2190, decode.d3.loss_mask: 0.4788, decode.d3.loss_dice: 0.6969, decode.d4.loss_cls: 0.2160, decode.d4.loss_mask: 0.4780, decode.d4.loss_dice: 0.6971, decode.d5.loss_cls: 0.2111, decode.d5.loss_mask: 0.4753, decode.d5.loss_dice: 0.6958, decode.d6.loss_cls: 0.2063, decode.d6.loss_mask: 0.4734, decode.d6.loss_dice: 0.6962, decode.d7.loss_cls: 0.2041, decode.d7.loss_mask: 0.4726, decode.d7.loss_dice: 0.6910, decode.d8.loss_cls: 0.2070, decode.d8.loss_mask: 0.4719, decode.d8.loss_dice: 0.6899, loss: 15.1792, grad_norm: 70.1356 2023-11-22 13:35:23,933 - mmseg - INFO - Iter [100250/160000] lr: 3.557e-06, eta: 9:44:03, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2230, decode.loss_mask: 0.5097, decode.loss_dice: 0.7487, decode.d0.loss_cls: 1.3060, decode.d0.loss_mask: 0.5431, decode.d0.loss_dice: 0.8413, decode.d1.loss_cls: 0.3003, decode.d1.loss_mask: 0.5344, decode.d1.loss_dice: 0.7980, decode.d2.loss_cls: 0.2569, decode.d2.loss_mask: 0.5157, decode.d2.loss_dice: 0.7666, decode.d3.loss_cls: 0.2414, decode.d3.loss_mask: 0.5099, decode.d3.loss_dice: 0.7549, decode.d4.loss_cls: 0.2312, decode.d4.loss_mask: 0.5108, decode.d4.loss_dice: 0.7566, decode.d5.loss_cls: 0.2286, decode.d5.loss_mask: 0.5121, decode.d5.loss_dice: 0.7520, decode.d6.loss_cls: 0.2258, decode.d6.loss_mask: 0.5106, decode.d6.loss_dice: 0.7500, decode.d7.loss_cls: 0.2257, decode.d7.loss_mask: 0.5093, decode.d7.loss_dice: 0.7525, decode.d8.loss_cls: 0.2245, decode.d8.loss_mask: 0.5100, decode.d8.loss_dice: 0.7514, loss: 16.3012, grad_norm: 76.1124 2023-11-22 13:35:52,300 - mmseg - INFO - Iter [100300/160000] lr: 3.554e-06, eta: 9:43:33, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2078, decode.loss_mask: 0.4597, decode.loss_dice: 0.7126, decode.d0.loss_cls: 1.3336, decode.d0.loss_mask: 0.4908, decode.d0.loss_dice: 0.7844, decode.d1.loss_cls: 0.2916, decode.d1.loss_mask: 0.4780, decode.d1.loss_dice: 0.7458, decode.d2.loss_cls: 0.2468, decode.d2.loss_mask: 0.4695, decode.d2.loss_dice: 0.7293, decode.d3.loss_cls: 0.2299, decode.d3.loss_mask: 0.4630, decode.d3.loss_dice: 0.7138, decode.d4.loss_cls: 0.2193, decode.d4.loss_mask: 0.4631, decode.d4.loss_dice: 0.7183, decode.d5.loss_cls: 0.2188, decode.d5.loss_mask: 0.4628, decode.d5.loss_dice: 0.7154, decode.d6.loss_cls: 0.2161, decode.d6.loss_mask: 0.4594, decode.d6.loss_dice: 0.7097, decode.d7.loss_cls: 0.2096, decode.d7.loss_mask: 0.4601, decode.d7.loss_dice: 0.7161, decode.d8.loss_cls: 0.2132, decode.d8.loss_mask: 0.4589, decode.d8.loss_dice: 0.7112, loss: 15.3087, grad_norm: 68.5048 2023-11-22 13:36:20,761 - mmseg - INFO - Iter [100350/160000] lr: 3.551e-06, eta: 9:43:03, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2161, decode.loss_mask: 0.4892, decode.loss_dice: 0.7106, decode.d0.loss_cls: 1.3003, decode.d0.loss_mask: 0.5279, decode.d0.loss_dice: 0.7924, decode.d1.loss_cls: 0.2979, decode.d1.loss_mask: 0.5122, decode.d1.loss_dice: 0.7480, decode.d2.loss_cls: 0.2521, decode.d2.loss_mask: 0.5000, decode.d2.loss_dice: 0.7265, decode.d3.loss_cls: 0.2306, decode.d3.loss_mask: 0.4986, decode.d3.loss_dice: 0.7176, decode.d4.loss_cls: 0.2310, decode.d4.loss_mask: 0.4949, decode.d4.loss_dice: 0.7161, decode.d5.loss_cls: 0.2220, decode.d5.loss_mask: 0.4933, decode.d5.loss_dice: 0.7151, decode.d6.loss_cls: 0.2187, decode.d6.loss_mask: 0.4919, decode.d6.loss_dice: 0.7136, decode.d7.loss_cls: 0.2164, decode.d7.loss_mask: 0.4918, decode.d7.loss_dice: 0.7162, decode.d8.loss_cls: 0.2151, decode.d8.loss_mask: 0.4894, decode.d8.loss_dice: 0.7087, loss: 15.6541, grad_norm: 74.3111 2023-11-22 13:36:49,022 - mmseg - INFO - Iter [100400/160000] lr: 3.548e-06, eta: 9:42:33, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2154, decode.loss_mask: 0.4849, decode.loss_dice: 0.7202, decode.d0.loss_cls: 1.3305, decode.d0.loss_mask: 0.5168, decode.d0.loss_dice: 0.8038, decode.d1.loss_cls: 0.3074, decode.d1.loss_mask: 0.5052, decode.d1.loss_dice: 0.7567, decode.d2.loss_cls: 0.2515, decode.d2.loss_mask: 0.4935, decode.d2.loss_dice: 0.7387, decode.d3.loss_cls: 0.2393, decode.d3.loss_mask: 0.4877, decode.d3.loss_dice: 0.7201, decode.d4.loss_cls: 0.2323, decode.d4.loss_mask: 0.4872, decode.d4.loss_dice: 0.7231, decode.d5.loss_cls: 0.2246, decode.d5.loss_mask: 0.4858, decode.d5.loss_dice: 0.7205, decode.d6.loss_cls: 0.2184, decode.d6.loss_mask: 0.4843, decode.d6.loss_dice: 0.7152, decode.d7.loss_cls: 0.2156, decode.d7.loss_mask: 0.4863, decode.d7.loss_dice: 0.7188, decode.d8.loss_cls: 0.2150, decode.d8.loss_mask: 0.4853, decode.d8.loss_dice: 0.7147, loss: 15.6988, grad_norm: 69.7791 2023-11-22 13:37:17,295 - mmseg - INFO - Iter [100450/160000] lr: 3.545e-06, eta: 9:42:03, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2255, decode.loss_mask: 0.4628, decode.loss_dice: 0.7141, decode.d0.loss_cls: 1.3171, decode.d0.loss_mask: 0.5023, decode.d0.loss_dice: 0.7930, decode.d1.loss_cls: 0.3149, decode.d1.loss_mask: 0.4838, decode.d1.loss_dice: 0.7532, decode.d2.loss_cls: 0.2649, decode.d2.loss_mask: 0.4754, decode.d2.loss_dice: 0.7343, decode.d3.loss_cls: 0.2473, decode.d3.loss_mask: 0.4698, decode.d3.loss_dice: 0.7188, decode.d4.loss_cls: 0.2359, decode.d4.loss_mask: 0.4695, decode.d4.loss_dice: 0.7169, decode.d5.loss_cls: 0.2354, decode.d5.loss_mask: 0.4675, decode.d5.loss_dice: 0.7198, decode.d6.loss_cls: 0.2276, decode.d6.loss_mask: 0.4667, decode.d6.loss_dice: 0.7105, decode.d7.loss_cls: 0.2254, decode.d7.loss_mask: 0.4657, decode.d7.loss_dice: 0.7103, decode.d8.loss_cls: 0.2308, decode.d8.loss_mask: 0.4650, decode.d8.loss_dice: 0.7123, loss: 15.5367, grad_norm: 75.6110 2023-11-22 13:37:45,588 - mmseg - INFO - Iter [100500/160000] lr: 3.542e-06, eta: 9:41:33, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2373, decode.loss_mask: 0.4916, decode.loss_dice: 0.7250, decode.d0.loss_cls: 1.3551, decode.d0.loss_mask: 0.5308, decode.d0.loss_dice: 0.8086, decode.d1.loss_cls: 0.3312, decode.d1.loss_mask: 0.5090, decode.d1.loss_dice: 0.7622, decode.d2.loss_cls: 0.2740, decode.d2.loss_mask: 0.5019, decode.d2.loss_dice: 0.7487, decode.d3.loss_cls: 0.2559, decode.d3.loss_mask: 0.4969, decode.d3.loss_dice: 0.7297, decode.d4.loss_cls: 0.2483, decode.d4.loss_mask: 0.4978, decode.d4.loss_dice: 0.7326, decode.d5.loss_cls: 0.2467, decode.d5.loss_mask: 0.4932, decode.d5.loss_dice: 0.7303, decode.d6.loss_cls: 0.2410, decode.d6.loss_mask: 0.4921, decode.d6.loss_dice: 0.7248, decode.d7.loss_cls: 0.2387, decode.d7.loss_mask: 0.4908, decode.d7.loss_dice: 0.7256, decode.d8.loss_cls: 0.2336, decode.d8.loss_mask: 0.4894, decode.d8.loss_dice: 0.7295, loss: 16.0723, grad_norm: 74.9213 2023-11-22 13:38:13,959 - mmseg - INFO - Iter [100550/160000] lr: 3.539e-06, eta: 9:41:03, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2408, decode.loss_mask: 0.4767, decode.loss_dice: 0.7329, decode.d0.loss_cls: 1.3503, decode.d0.loss_mask: 0.5083, decode.d0.loss_dice: 0.8273, decode.d1.loss_cls: 0.3283, decode.d1.loss_mask: 0.4920, decode.d1.loss_dice: 0.7767, decode.d2.loss_cls: 0.2806, decode.d2.loss_mask: 0.4831, decode.d2.loss_dice: 0.7547, decode.d3.loss_cls: 0.2582, decode.d3.loss_mask: 0.4782, decode.d3.loss_dice: 0.7402, decode.d4.loss_cls: 0.2544, decode.d4.loss_mask: 0.4774, decode.d4.loss_dice: 0.7385, decode.d5.loss_cls: 0.2451, decode.d5.loss_mask: 0.4764, decode.d5.loss_dice: 0.7374, decode.d6.loss_cls: 0.2450, decode.d6.loss_mask: 0.4738, decode.d6.loss_dice: 0.7345, decode.d7.loss_cls: 0.2403, decode.d7.loss_mask: 0.4761, decode.d7.loss_dice: 0.7366, decode.d8.loss_cls: 0.2397, decode.d8.loss_mask: 0.4767, decode.d8.loss_dice: 0.7404, loss: 16.0207, grad_norm: 70.5103 2023-11-22 13:38:42,485 - mmseg - INFO - Iter [100600/160000] lr: 3.536e-06, eta: 9:40:33, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2148, decode.loss_mask: 0.4419, decode.loss_dice: 0.7201, decode.d0.loss_cls: 1.3367, decode.d0.loss_mask: 0.4726, decode.d0.loss_dice: 0.8076, decode.d1.loss_cls: 0.2997, decode.d1.loss_mask: 0.4593, decode.d1.loss_dice: 0.7607, decode.d2.loss_cls: 0.2478, decode.d2.loss_mask: 0.4511, decode.d2.loss_dice: 0.7425, decode.d3.loss_cls: 0.2342, decode.d3.loss_mask: 0.4481, decode.d3.loss_dice: 0.7315, decode.d4.loss_cls: 0.2264, decode.d4.loss_mask: 0.4458, decode.d4.loss_dice: 0.7305, decode.d5.loss_cls: 0.2249, decode.d5.loss_mask: 0.4436, decode.d5.loss_dice: 0.7267, decode.d6.loss_cls: 0.2216, decode.d6.loss_mask: 0.4452, decode.d6.loss_dice: 0.7221, decode.d7.loss_cls: 0.2172, decode.d7.loss_mask: 0.4438, decode.d7.loss_dice: 0.7216, decode.d8.loss_cls: 0.2134, decode.d8.loss_mask: 0.4433, decode.d8.loss_dice: 0.7231, loss: 15.3179, grad_norm: 62.3006 2023-11-22 13:39:10,940 - mmseg - INFO - Iter [100650/160000] lr: 3.533e-06, eta: 9:40:03, time: 0.569, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2212, decode.loss_mask: 0.4901, decode.loss_dice: 0.7106, decode.d0.loss_cls: 1.3153, decode.d0.loss_mask: 0.5299, decode.d0.loss_dice: 0.8012, decode.d1.loss_cls: 0.2976, decode.d1.loss_mask: 0.5119, decode.d1.loss_dice: 0.7576, decode.d2.loss_cls: 0.2468, decode.d2.loss_mask: 0.5057, decode.d2.loss_dice: 0.7389, decode.d3.loss_cls: 0.2299, decode.d3.loss_mask: 0.4970, decode.d3.loss_dice: 0.7300, decode.d4.loss_cls: 0.2266, decode.d4.loss_mask: 0.4930, decode.d4.loss_dice: 0.7234, decode.d5.loss_cls: 0.2215, decode.d5.loss_mask: 0.4950, decode.d5.loss_dice: 0.7212, decode.d6.loss_cls: 0.2217, decode.d6.loss_mask: 0.4939, decode.d6.loss_dice: 0.7135, decode.d7.loss_cls: 0.2245, decode.d7.loss_mask: 0.4911, decode.d7.loss_dice: 0.7153, decode.d8.loss_cls: 0.2192, decode.d8.loss_mask: 0.4916, decode.d8.loss_dice: 0.7154, loss: 15.7508, grad_norm: 68.7262 2023-11-22 13:39:39,110 - mmseg - INFO - Iter [100700/160000] lr: 3.530e-06, eta: 9:39:33, time: 0.563, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2320, decode.loss_mask: 0.4949, decode.loss_dice: 0.7140, decode.d0.loss_cls: 1.2902, decode.d0.loss_mask: 0.5297, decode.d0.loss_dice: 0.7957, decode.d1.loss_cls: 0.3072, decode.d1.loss_mask: 0.5130, decode.d1.loss_dice: 0.7577, decode.d2.loss_cls: 0.2688, decode.d2.loss_mask: 0.4995, decode.d2.loss_dice: 0.7376, decode.d3.loss_cls: 0.2433, decode.d3.loss_mask: 0.4945, decode.d3.loss_dice: 0.7239, decode.d4.loss_cls: 0.2429, decode.d4.loss_mask: 0.4942, decode.d4.loss_dice: 0.7202, decode.d5.loss_cls: 0.2350, decode.d5.loss_mask: 0.4943, decode.d5.loss_dice: 0.7228, decode.d6.loss_cls: 0.2379, decode.d6.loss_mask: 0.4945, decode.d6.loss_dice: 0.7144, decode.d7.loss_cls: 0.2329, decode.d7.loss_mask: 0.4943, decode.d7.loss_dice: 0.7127, decode.d8.loss_cls: 0.2259, decode.d8.loss_mask: 0.4962, decode.d8.loss_dice: 0.7150, loss: 15.8352, grad_norm: 74.3288 2023-11-22 13:40:07,469 - mmseg - INFO - Iter [100750/160000] lr: 3.527e-06, eta: 9:39:04, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2154, decode.loss_mask: 0.4870, decode.loss_dice: 0.7119, decode.d0.loss_cls: 1.3323, decode.d0.loss_mask: 0.5282, decode.d0.loss_dice: 0.7889, decode.d1.loss_cls: 0.3035, decode.d1.loss_mask: 0.5061, decode.d1.loss_dice: 0.7509, decode.d2.loss_cls: 0.2553, decode.d2.loss_mask: 0.4978, decode.d2.loss_dice: 0.7316, decode.d3.loss_cls: 0.2355, decode.d3.loss_mask: 0.4933, decode.d3.loss_dice: 0.7191, decode.d4.loss_cls: 0.2231, decode.d4.loss_mask: 0.4932, decode.d4.loss_dice: 0.7181, decode.d5.loss_cls: 0.2268, decode.d5.loss_mask: 0.4903, decode.d5.loss_dice: 0.7127, decode.d6.loss_cls: 0.2218, decode.d6.loss_mask: 0.4914, decode.d6.loss_dice: 0.7083, decode.d7.loss_cls: 0.2194, decode.d7.loss_mask: 0.4903, decode.d7.loss_dice: 0.7087, decode.d8.loss_cls: 0.2161, decode.d8.loss_mask: 0.4882, decode.d8.loss_dice: 0.7119, loss: 15.6770, grad_norm: 72.8208 2023-11-22 13:40:35,783 - mmseg - INFO - Iter [100800/160000] lr: 3.524e-06, eta: 9:38:34, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2274, decode.loss_mask: 0.4820, decode.loss_dice: 0.7104, decode.d0.loss_cls: 1.3230, decode.d0.loss_mask: 0.5206, decode.d0.loss_dice: 0.7889, decode.d1.loss_cls: 0.3110, decode.d1.loss_mask: 0.4963, decode.d1.loss_dice: 0.7475, decode.d2.loss_cls: 0.2603, decode.d2.loss_mask: 0.4911, decode.d2.loss_dice: 0.7286, decode.d3.loss_cls: 0.2444, decode.d3.loss_mask: 0.4858, decode.d3.loss_dice: 0.7184, decode.d4.loss_cls: 0.2380, decode.d4.loss_mask: 0.4838, decode.d4.loss_dice: 0.7149, decode.d5.loss_cls: 0.2362, decode.d5.loss_mask: 0.4825, decode.d5.loss_dice: 0.7125, decode.d6.loss_cls: 0.2319, decode.d6.loss_mask: 0.4826, decode.d6.loss_dice: 0.7100, decode.d7.loss_cls: 0.2349, decode.d7.loss_mask: 0.4807, decode.d7.loss_dice: 0.7111, decode.d8.loss_cls: 0.2307, decode.d8.loss_mask: 0.4818, decode.d8.loss_dice: 0.7107, loss: 15.6779, grad_norm: 73.0246 2023-11-22 13:41:04,106 - mmseg - INFO - Iter [100850/160000] lr: 3.521e-06, eta: 9:38:04, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2320, decode.loss_mask: 0.4684, decode.loss_dice: 0.7125, decode.d0.loss_cls: 1.3067, decode.d0.loss_mask: 0.5089, decode.d0.loss_dice: 0.7987, decode.d1.loss_cls: 0.3082, decode.d1.loss_mask: 0.4921, decode.d1.loss_dice: 0.7543, decode.d2.loss_cls: 0.2675, decode.d2.loss_mask: 0.4812, decode.d2.loss_dice: 0.7280, decode.d3.loss_cls: 0.2542, decode.d3.loss_mask: 0.4704, decode.d3.loss_dice: 0.7157, decode.d4.loss_cls: 0.2454, decode.d4.loss_mask: 0.4694, decode.d4.loss_dice: 0.7128, decode.d5.loss_cls: 0.2408, decode.d5.loss_mask: 0.4688, decode.d5.loss_dice: 0.7113, decode.d6.loss_cls: 0.2386, decode.d6.loss_mask: 0.4683, decode.d6.loss_dice: 0.7095, decode.d7.loss_cls: 0.2333, decode.d7.loss_mask: 0.4686, decode.d7.loss_dice: 0.7115, decode.d8.loss_cls: 0.2296, decode.d8.loss_mask: 0.4705, decode.d8.loss_dice: 0.7135, loss: 15.5906, grad_norm: 68.5599 2023-11-22 13:41:32,562 - mmseg - INFO - Iter [100900/160000] lr: 3.518e-06, eta: 9:37:34, time: 0.569, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2280, decode.loss_mask: 0.4983, decode.loss_dice: 0.7131, decode.d0.loss_cls: 1.3054, decode.d0.loss_mask: 0.5363, decode.d0.loss_dice: 0.7936, decode.d1.loss_cls: 0.3144, decode.d1.loss_mask: 0.5139, decode.d1.loss_dice: 0.7559, decode.d2.loss_cls: 0.2647, decode.d2.loss_mask: 0.5069, decode.d2.loss_dice: 0.7331, decode.d3.loss_cls: 0.2489, decode.d3.loss_mask: 0.5022, decode.d3.loss_dice: 0.7206, decode.d4.loss_cls: 0.2439, decode.d4.loss_mask: 0.5021, decode.d4.loss_dice: 0.7205, decode.d5.loss_cls: 0.2366, decode.d5.loss_mask: 0.5018, decode.d5.loss_dice: 0.7203, decode.d6.loss_cls: 0.2323, decode.d6.loss_mask: 0.4999, decode.d6.loss_dice: 0.7163, decode.d7.loss_cls: 0.2281, decode.d7.loss_mask: 0.4996, decode.d7.loss_dice: 0.7163, decode.d8.loss_cls: 0.2299, decode.d8.loss_mask: 0.4979, decode.d8.loss_dice: 0.7134, loss: 15.8940, grad_norm: 77.6925 2023-11-22 13:42:00,966 - mmseg - INFO - Iter [100950/160000] lr: 3.515e-06, eta: 9:37:04, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2402, decode.loss_mask: 0.4743, decode.loss_dice: 0.7208, decode.d0.loss_cls: 1.3187, decode.d0.loss_mask: 0.5120, decode.d0.loss_dice: 0.8004, decode.d1.loss_cls: 0.3071, decode.d1.loss_mask: 0.4932, decode.d1.loss_dice: 0.7554, decode.d2.loss_cls: 0.2744, decode.d2.loss_mask: 0.4851, decode.d2.loss_dice: 0.7398, decode.d3.loss_cls: 0.2589, decode.d3.loss_mask: 0.4763, decode.d3.loss_dice: 0.7224, decode.d4.loss_cls: 0.2477, decode.d4.loss_mask: 0.4767, decode.d4.loss_dice: 0.7298, decode.d5.loss_cls: 0.2463, decode.d5.loss_mask: 0.4758, decode.d5.loss_dice: 0.7244, decode.d6.loss_cls: 0.2451, decode.d6.loss_mask: 0.4742, decode.d6.loss_dice: 0.7217, decode.d7.loss_cls: 0.2392, decode.d7.loss_mask: 0.4733, decode.d7.loss_dice: 0.7194, decode.d8.loss_cls: 0.2368, decode.d8.loss_mask: 0.4739, decode.d8.loss_dice: 0.7214, loss: 15.7846, grad_norm: 71.8288 2023-11-22 13:42:29,197 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 13:42:29,198 - mmseg - INFO - Iter [101000/160000] lr: 3.512e-06, eta: 9:36:34, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2177, decode.loss_mask: 0.4570, decode.loss_dice: 0.7069, decode.d0.loss_cls: 1.3381, decode.d0.loss_mask: 0.4949, decode.d0.loss_dice: 0.7937, decode.d1.loss_cls: 0.3084, decode.d1.loss_mask: 0.4742, decode.d1.loss_dice: 0.7451, decode.d2.loss_cls: 0.2503, decode.d2.loss_mask: 0.4641, decode.d2.loss_dice: 0.7273, decode.d3.loss_cls: 0.2403, decode.d3.loss_mask: 0.4600, decode.d3.loss_dice: 0.7143, decode.d4.loss_cls: 0.2332, decode.d4.loss_mask: 0.4588, decode.d4.loss_dice: 0.7138, decode.d5.loss_cls: 0.2250, decode.d5.loss_mask: 0.4591, decode.d5.loss_dice: 0.7151, decode.d6.loss_cls: 0.2227, decode.d6.loss_mask: 0.4562, decode.d6.loss_dice: 0.7098, decode.d7.loss_cls: 0.2191, decode.d7.loss_mask: 0.4578, decode.d7.loss_dice: 0.7064, decode.d8.loss_cls: 0.2148, decode.d8.loss_mask: 0.4567, decode.d8.loss_dice: 0.7095, loss: 15.3503, grad_norm: 69.8776 2023-11-22 13:42:59,857 - mmseg - INFO - Iter [101050/160000] lr: 3.509e-06, eta: 9:36:06, time: 0.613, data_time: 0.058, memory: 38143, decode.loss_cls: 0.2091, decode.loss_mask: 0.4669, decode.loss_dice: 0.6921, decode.d0.loss_cls: 1.3145, decode.d0.loss_mask: 0.5029, decode.d0.loss_dice: 0.7760, decode.d1.loss_cls: 0.2928, decode.d1.loss_mask: 0.4835, decode.d1.loss_dice: 0.7317, decode.d2.loss_cls: 0.2343, decode.d2.loss_mask: 0.4762, decode.d2.loss_dice: 0.7167, decode.d3.loss_cls: 0.2250, decode.d3.loss_mask: 0.4717, decode.d3.loss_dice: 0.7016, decode.d4.loss_cls: 0.2136, decode.d4.loss_mask: 0.4703, decode.d4.loss_dice: 0.7000, decode.d5.loss_cls: 0.2134, decode.d5.loss_mask: 0.4678, decode.d5.loss_dice: 0.6988, decode.d6.loss_cls: 0.2121, decode.d6.loss_mask: 0.4669, decode.d6.loss_dice: 0.6921, decode.d7.loss_cls: 0.2114, decode.d7.loss_mask: 0.4657, decode.d7.loss_dice: 0.6922, decode.d8.loss_cls: 0.2081, decode.d8.loss_mask: 0.4684, decode.d8.loss_dice: 0.6909, loss: 15.1666, grad_norm: 68.0586 2023-11-22 13:43:28,219 - mmseg - INFO - Iter [101100/160000] lr: 3.506e-06, eta: 9:35:36, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2263, decode.loss_mask: 0.4805, decode.loss_dice: 0.7153, decode.d0.loss_cls: 1.3281, decode.d0.loss_mask: 0.5185, decode.d0.loss_dice: 0.7982, decode.d1.loss_cls: 0.3149, decode.d1.loss_mask: 0.4997, decode.d1.loss_dice: 0.7622, decode.d2.loss_cls: 0.2685, decode.d2.loss_mask: 0.4918, decode.d2.loss_dice: 0.7380, decode.d3.loss_cls: 0.2486, decode.d3.loss_mask: 0.4874, decode.d3.loss_dice: 0.7229, decode.d4.loss_cls: 0.2402, decode.d4.loss_mask: 0.4855, decode.d4.loss_dice: 0.7148, decode.d5.loss_cls: 0.2374, decode.d5.loss_mask: 0.4856, decode.d5.loss_dice: 0.7211, decode.d6.loss_cls: 0.2288, decode.d6.loss_mask: 0.4834, decode.d6.loss_dice: 0.7181, decode.d7.loss_cls: 0.2282, decode.d7.loss_mask: 0.4827, decode.d7.loss_dice: 0.7169, decode.d8.loss_cls: 0.2218, decode.d8.loss_mask: 0.4833, decode.d8.loss_dice: 0.7216, loss: 15.7703, grad_norm: 72.5568 2023-11-22 13:43:56,453 - mmseg - INFO - Iter [101150/160000] lr: 3.503e-06, eta: 9:35:06, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2100, decode.loss_mask: 0.4769, decode.loss_dice: 0.6987, decode.d0.loss_cls: 1.2812, decode.d0.loss_mask: 0.5162, decode.d0.loss_dice: 0.7828, decode.d1.loss_cls: 0.2883, decode.d1.loss_mask: 0.4977, decode.d1.loss_dice: 0.7385, decode.d2.loss_cls: 0.2492, decode.d2.loss_mask: 0.4894, decode.d2.loss_dice: 0.7222, decode.d3.loss_cls: 0.2348, decode.d3.loss_mask: 0.4794, decode.d3.loss_dice: 0.7089, decode.d4.loss_cls: 0.2237, decode.d4.loss_mask: 0.4785, decode.d4.loss_dice: 0.7058, decode.d5.loss_cls: 0.2219, decode.d5.loss_mask: 0.4786, decode.d5.loss_dice: 0.7011, decode.d6.loss_cls: 0.2215, decode.d6.loss_mask: 0.4759, decode.d6.loss_dice: 0.6988, decode.d7.loss_cls: 0.2167, decode.d7.loss_mask: 0.4761, decode.d7.loss_dice: 0.6962, decode.d8.loss_cls: 0.2166, decode.d8.loss_mask: 0.4772, decode.d8.loss_dice: 0.6979, loss: 15.3609, grad_norm: 68.8090 2023-11-22 13:44:25,104 - mmseg - INFO - Iter [101200/160000] lr: 3.500e-06, eta: 9:34:36, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2153, decode.loss_mask: 0.4506, decode.loss_dice: 0.7054, decode.d0.loss_cls: 1.3087, decode.d0.loss_mask: 0.4762, decode.d0.loss_dice: 0.7829, decode.d1.loss_cls: 0.2985, decode.d1.loss_mask: 0.4706, decode.d1.loss_dice: 0.7437, decode.d2.loss_cls: 0.2526, decode.d2.loss_mask: 0.4587, decode.d2.loss_dice: 0.7210, decode.d3.loss_cls: 0.2399, decode.d3.loss_mask: 0.4547, decode.d3.loss_dice: 0.7108, decode.d4.loss_cls: 0.2269, decode.d4.loss_mask: 0.4561, decode.d4.loss_dice: 0.7095, decode.d5.loss_cls: 0.2272, decode.d5.loss_mask: 0.4525, decode.d5.loss_dice: 0.7097, decode.d6.loss_cls: 0.2241, decode.d6.loss_mask: 0.4531, decode.d6.loss_dice: 0.7080, decode.d7.loss_cls: 0.2225, decode.d7.loss_mask: 0.4534, decode.d7.loss_dice: 0.7022, decode.d8.loss_cls: 0.2184, decode.d8.loss_mask: 0.4510, decode.d8.loss_dice: 0.7041, loss: 15.2081, grad_norm: 68.2496 2023-11-22 13:44:53,680 - mmseg - INFO - Iter [101250/160000] lr: 3.497e-06, eta: 9:34:06, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2211, decode.loss_mask: 0.4719, decode.loss_dice: 0.7147, decode.d0.loss_cls: 1.3214, decode.d0.loss_mask: 0.5103, decode.d0.loss_dice: 0.7925, decode.d1.loss_cls: 0.2935, decode.d1.loss_mask: 0.4936, decode.d1.loss_dice: 0.7531, decode.d2.loss_cls: 0.2506, decode.d2.loss_mask: 0.4824, decode.d2.loss_dice: 0.7345, decode.d3.loss_cls: 0.2333, decode.d3.loss_mask: 0.4751, decode.d3.loss_dice: 0.7199, decode.d4.loss_cls: 0.2254, decode.d4.loss_mask: 0.4762, decode.d4.loss_dice: 0.7208, decode.d5.loss_cls: 0.2243, decode.d5.loss_mask: 0.4721, decode.d5.loss_dice: 0.7185, decode.d6.loss_cls: 0.2231, decode.d6.loss_mask: 0.4734, decode.d6.loss_dice: 0.7164, decode.d7.loss_cls: 0.2186, decode.d7.loss_mask: 0.4729, decode.d7.loss_dice: 0.7126, decode.d8.loss_cls: 0.2182, decode.d8.loss_mask: 0.4720, decode.d8.loss_dice: 0.7125, loss: 15.5247, grad_norm: 70.3649 2023-11-22 13:45:21,900 - mmseg - INFO - Iter [101300/160000] lr: 3.494e-06, eta: 9:33:36, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2323, decode.loss_mask: 0.4691, decode.loss_dice: 0.7131, decode.d0.loss_cls: 1.3348, decode.d0.loss_mask: 0.5033, decode.d0.loss_dice: 0.8030, decode.d1.loss_cls: 0.3237, decode.d1.loss_mask: 0.4859, decode.d1.loss_dice: 0.7556, decode.d2.loss_cls: 0.2766, decode.d2.loss_mask: 0.4745, decode.d2.loss_dice: 0.7353, decode.d3.loss_cls: 0.2534, decode.d3.loss_mask: 0.4714, decode.d3.loss_dice: 0.7228, decode.d4.loss_cls: 0.2527, decode.d4.loss_mask: 0.4702, decode.d4.loss_dice: 0.7252, decode.d5.loss_cls: 0.2420, decode.d5.loss_mask: 0.4709, decode.d5.loss_dice: 0.7211, decode.d6.loss_cls: 0.2437, decode.d6.loss_mask: 0.4678, decode.d6.loss_dice: 0.7179, decode.d7.loss_cls: 0.2370, decode.d7.loss_mask: 0.4694, decode.d7.loss_dice: 0.7190, decode.d8.loss_cls: 0.2379, decode.d8.loss_mask: 0.4687, decode.d8.loss_dice: 0.7150, loss: 15.7131, grad_norm: 70.1102 2023-11-22 13:45:50,279 - mmseg - INFO - Iter [101350/160000] lr: 3.492e-06, eta: 9:33:07, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2171, decode.loss_mask: 0.4696, decode.loss_dice: 0.6932, decode.d0.loss_cls: 1.3391, decode.d0.loss_mask: 0.5033, decode.d0.loss_dice: 0.7688, decode.d1.loss_cls: 0.2947, decode.d1.loss_mask: 0.4879, decode.d1.loss_dice: 0.7330, decode.d2.loss_cls: 0.2500, decode.d2.loss_mask: 0.4763, decode.d2.loss_dice: 0.7160, decode.d3.loss_cls: 0.2325, decode.d3.loss_mask: 0.4743, decode.d3.loss_dice: 0.6982, decode.d4.loss_cls: 0.2295, decode.d4.loss_mask: 0.4699, decode.d4.loss_dice: 0.6995, decode.d5.loss_cls: 0.2235, decode.d5.loss_mask: 0.4716, decode.d5.loss_dice: 0.6964, decode.d6.loss_cls: 0.2198, decode.d6.loss_mask: 0.4702, decode.d6.loss_dice: 0.6963, decode.d7.loss_cls: 0.2151, decode.d7.loss_mask: 0.4715, decode.d7.loss_dice: 0.6974, decode.d8.loss_cls: 0.2126, decode.d8.loss_mask: 0.4708, decode.d8.loss_dice: 0.6970, loss: 15.2950, grad_norm: 65.6653 2023-11-22 13:46:18,767 - mmseg - INFO - Iter [101400/160000] lr: 3.489e-06, eta: 9:32:37, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2152, decode.loss_mask: 0.4883, decode.loss_dice: 0.7200, decode.d0.loss_cls: 1.3286, decode.d0.loss_mask: 0.5300, decode.d0.loss_dice: 0.8047, decode.d1.loss_cls: 0.2980, decode.d1.loss_mask: 0.5056, decode.d1.loss_dice: 0.7627, decode.d2.loss_cls: 0.2493, decode.d2.loss_mask: 0.4945, decode.d2.loss_dice: 0.7373, decode.d3.loss_cls: 0.2302, decode.d3.loss_mask: 0.4957, decode.d3.loss_dice: 0.7265, decode.d4.loss_cls: 0.2260, decode.d4.loss_mask: 0.4916, decode.d4.loss_dice: 0.7252, decode.d5.loss_cls: 0.2228, decode.d5.loss_mask: 0.4907, decode.d5.loss_dice: 0.7222, decode.d6.loss_cls: 0.2229, decode.d6.loss_mask: 0.4909, decode.d6.loss_dice: 0.7171, decode.d7.loss_cls: 0.2193, decode.d7.loss_mask: 0.4895, decode.d7.loss_dice: 0.7221, decode.d8.loss_cls: 0.2188, decode.d8.loss_mask: 0.4879, decode.d8.loss_dice: 0.7218, loss: 15.7552, grad_norm: 63.1072 2023-11-22 13:46:47,164 - mmseg - INFO - Iter [101450/160000] lr: 3.486e-06, eta: 9:32:07, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2070, decode.loss_mask: 0.4544, decode.loss_dice: 0.7148, decode.d0.loss_cls: 1.3258, decode.d0.loss_mask: 0.4895, decode.d0.loss_dice: 0.8034, decode.d1.loss_cls: 0.2912, decode.d1.loss_mask: 0.4709, decode.d1.loss_dice: 0.7505, decode.d2.loss_cls: 0.2439, decode.d2.loss_mask: 0.4628, decode.d2.loss_dice: 0.7334, decode.d3.loss_cls: 0.2310, decode.d3.loss_mask: 0.4583, decode.d3.loss_dice: 0.7207, decode.d4.loss_cls: 0.2208, decode.d4.loss_mask: 0.4564, decode.d4.loss_dice: 0.7216, decode.d5.loss_cls: 0.2142, decode.d5.loss_mask: 0.4582, decode.d5.loss_dice: 0.7161, decode.d6.loss_cls: 0.2138, decode.d6.loss_mask: 0.4557, decode.d6.loss_dice: 0.7121, decode.d7.loss_cls: 0.2108, decode.d7.loss_mask: 0.4563, decode.d7.loss_dice: 0.7132, decode.d8.loss_cls: 0.2071, decode.d8.loss_mask: 0.4552, decode.d8.loss_dice: 0.7174, loss: 15.2864, grad_norm: 66.4751 2023-11-22 13:47:15,924 - mmseg - INFO - Iter [101500/160000] lr: 3.483e-06, eta: 9:31:37, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2180, decode.loss_mask: 0.4663, decode.loss_dice: 0.6929, decode.d0.loss_cls: 1.3154, decode.d0.loss_mask: 0.5017, decode.d0.loss_dice: 0.7762, decode.d1.loss_cls: 0.2937, decode.d1.loss_mask: 0.4873, decode.d1.loss_dice: 0.7326, decode.d2.loss_cls: 0.2504, decode.d2.loss_mask: 0.4776, decode.d2.loss_dice: 0.7166, decode.d3.loss_cls: 0.2334, decode.d3.loss_mask: 0.4731, decode.d3.loss_dice: 0.6992, decode.d4.loss_cls: 0.2283, decode.d4.loss_mask: 0.4717, decode.d4.loss_dice: 0.6993, decode.d5.loss_cls: 0.2240, decode.d5.loss_mask: 0.4696, decode.d5.loss_dice: 0.7047, decode.d6.loss_cls: 0.2257, decode.d6.loss_mask: 0.4668, decode.d6.loss_dice: 0.6971, decode.d7.loss_cls: 0.2213, decode.d7.loss_mask: 0.4690, decode.d7.loss_dice: 0.6950, decode.d8.loss_cls: 0.2260, decode.d8.loss_mask: 0.4673, decode.d8.loss_dice: 0.6959, loss: 15.2964, grad_norm: 65.9409 2023-11-22 13:47:44,188 - mmseg - INFO - Iter [101550/160000] lr: 3.480e-06, eta: 9:31:07, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2272, decode.loss_mask: 0.4763, decode.loss_dice: 0.7263, decode.d0.loss_cls: 1.3082, decode.d0.loss_mask: 0.5110, decode.d0.loss_dice: 0.8101, decode.d1.loss_cls: 0.3127, decode.d1.loss_mask: 0.4938, decode.d1.loss_dice: 0.7650, decode.d2.loss_cls: 0.2699, decode.d2.loss_mask: 0.4827, decode.d2.loss_dice: 0.7409, decode.d3.loss_cls: 0.2543, decode.d3.loss_mask: 0.4780, decode.d3.loss_dice: 0.7275, decode.d4.loss_cls: 0.2458, decode.d4.loss_mask: 0.4784, decode.d4.loss_dice: 0.7329, decode.d5.loss_cls: 0.2426, decode.d5.loss_mask: 0.4769, decode.d5.loss_dice: 0.7339, decode.d6.loss_cls: 0.2341, decode.d6.loss_mask: 0.4765, decode.d6.loss_dice: 0.7281, decode.d7.loss_cls: 0.2334, decode.d7.loss_mask: 0.4778, decode.d7.loss_dice: 0.7256, decode.d8.loss_cls: 0.2290, decode.d8.loss_mask: 0.4777, decode.d8.loss_dice: 0.7274, loss: 15.8039, grad_norm: 63.5378 2023-11-22 13:48:12,587 - mmseg - INFO - Iter [101600/160000] lr: 3.477e-06, eta: 9:30:37, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2233, decode.loss_mask: 0.4662, decode.loss_dice: 0.7166, decode.d0.loss_cls: 1.3280, decode.d0.loss_mask: 0.4959, decode.d0.loss_dice: 0.7943, decode.d1.loss_cls: 0.3083, decode.d1.loss_mask: 0.4837, decode.d1.loss_dice: 0.7502, decode.d2.loss_cls: 0.2515, decode.d2.loss_mask: 0.4782, decode.d2.loss_dice: 0.7337, decode.d3.loss_cls: 0.2438, decode.d3.loss_mask: 0.4703, decode.d3.loss_dice: 0.7211, decode.d4.loss_cls: 0.2296, decode.d4.loss_mask: 0.4686, decode.d4.loss_dice: 0.7225, decode.d5.loss_cls: 0.2295, decode.d5.loss_mask: 0.4666, decode.d5.loss_dice: 0.7199, decode.d6.loss_cls: 0.2255, decode.d6.loss_mask: 0.4662, decode.d6.loss_dice: 0.7163, decode.d7.loss_cls: 0.2213, decode.d7.loss_mask: 0.4666, decode.d7.loss_dice: 0.7162, decode.d8.loss_cls: 0.2224, decode.d8.loss_mask: 0.4641, decode.d8.loss_dice: 0.7184, loss: 15.5188, grad_norm: 69.5942 2023-11-22 13:48:41,095 - mmseg - INFO - Iter [101650/160000] lr: 3.474e-06, eta: 9:30:08, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2195, decode.loss_mask: 0.4734, decode.loss_dice: 0.7091, decode.d0.loss_cls: 1.3126, decode.d0.loss_mask: 0.5073, decode.d0.loss_dice: 0.7948, decode.d1.loss_cls: 0.3092, decode.d1.loss_mask: 0.4909, decode.d1.loss_dice: 0.7521, decode.d2.loss_cls: 0.2566, decode.d2.loss_mask: 0.4784, decode.d2.loss_dice: 0.7278, decode.d3.loss_cls: 0.2392, decode.d3.loss_mask: 0.4738, decode.d3.loss_dice: 0.7178, decode.d4.loss_cls: 0.2296, decode.d4.loss_mask: 0.4748, decode.d4.loss_dice: 0.7134, decode.d5.loss_cls: 0.2327, decode.d5.loss_mask: 0.4745, decode.d5.loss_dice: 0.7159, decode.d6.loss_cls: 0.2258, decode.d6.loss_mask: 0.4735, decode.d6.loss_dice: 0.7124, decode.d7.loss_cls: 0.2248, decode.d7.loss_mask: 0.4737, decode.d7.loss_dice: 0.7108, decode.d8.loss_cls: 0.2210, decode.d8.loss_mask: 0.4738, decode.d8.loss_dice: 0.7124, loss: 15.5317, grad_norm: 69.9576 2023-11-22 13:49:09,793 - mmseg - INFO - Iter [101700/160000] lr: 3.471e-06, eta: 9:29:38, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2335, decode.loss_mask: 0.4545, decode.loss_dice: 0.7085, decode.d0.loss_cls: 1.3521, decode.d0.loss_mask: 0.4905, decode.d0.loss_dice: 0.8043, decode.d1.loss_cls: 0.3227, decode.d1.loss_mask: 0.4678, decode.d1.loss_dice: 0.7508, decode.d2.loss_cls: 0.2720, decode.d2.loss_mask: 0.4622, decode.d2.loss_dice: 0.7296, decode.d3.loss_cls: 0.2567, decode.d3.loss_mask: 0.4582, decode.d3.loss_dice: 0.7160, decode.d4.loss_cls: 0.2441, decode.d4.loss_mask: 0.4593, decode.d4.loss_dice: 0.7148, decode.d5.loss_cls: 0.2404, decode.d5.loss_mask: 0.4556, decode.d5.loss_dice: 0.7173, decode.d6.loss_cls: 0.2420, decode.d6.loss_mask: 0.4541, decode.d6.loss_dice: 0.7088, decode.d7.loss_cls: 0.2334, decode.d7.loss_mask: 0.4540, decode.d7.loss_dice: 0.7096, decode.d8.loss_cls: 0.2319, decode.d8.loss_mask: 0.4546, decode.d8.loss_dice: 0.7116, loss: 15.5109, grad_norm: 68.0033 2023-11-22 13:49:38,277 - mmseg - INFO - Iter [101750/160000] lr: 3.468e-06, eta: 9:29:08, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2038, decode.loss_mask: 0.4811, decode.loss_dice: 0.7116, decode.d0.loss_cls: 1.3074, decode.d0.loss_mask: 0.5176, decode.d0.loss_dice: 0.7881, decode.d1.loss_cls: 0.2902, decode.d1.loss_mask: 0.4998, decode.d1.loss_dice: 0.7419, decode.d2.loss_cls: 0.2390, decode.d2.loss_mask: 0.4881, decode.d2.loss_dice: 0.7215, decode.d3.loss_cls: 0.2215, decode.d3.loss_mask: 0.4831, decode.d3.loss_dice: 0.7124, decode.d4.loss_cls: 0.2120, decode.d4.loss_mask: 0.4834, decode.d4.loss_dice: 0.7110, decode.d5.loss_cls: 0.2100, decode.d5.loss_mask: 0.4827, decode.d5.loss_dice: 0.7098, decode.d6.loss_cls: 0.2094, decode.d6.loss_mask: 0.4818, decode.d6.loss_dice: 0.7104, decode.d7.loss_cls: 0.2096, decode.d7.loss_mask: 0.4808, decode.d7.loss_dice: 0.7090, decode.d8.loss_cls: 0.2017, decode.d8.loss_mask: 0.4811, decode.d8.loss_dice: 0.7089, loss: 15.4087, grad_norm: 65.4682 2023-11-22 13:50:07,017 - mmseg - INFO - Iter [101800/160000] lr: 3.465e-06, eta: 9:28:39, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2046, decode.loss_mask: 0.4632, decode.loss_dice: 0.7081, decode.d0.loss_cls: 1.3250, decode.d0.loss_mask: 0.4978, decode.d0.loss_dice: 0.7842, decode.d1.loss_cls: 0.2870, decode.d1.loss_mask: 0.4773, decode.d1.loss_dice: 0.7477, decode.d2.loss_cls: 0.2412, decode.d2.loss_mask: 0.4679, decode.d2.loss_dice: 0.7269, decode.d3.loss_cls: 0.2232, decode.d3.loss_mask: 0.4639, decode.d3.loss_dice: 0.7105, decode.d4.loss_cls: 0.2193, decode.d4.loss_mask: 0.4624, decode.d4.loss_dice: 0.7114, decode.d5.loss_cls: 0.2123, decode.d5.loss_mask: 0.4626, decode.d5.loss_dice: 0.7107, decode.d6.loss_cls: 0.2127, decode.d6.loss_mask: 0.4616, decode.d6.loss_dice: 0.7064, decode.d7.loss_cls: 0.2078, decode.d7.loss_mask: 0.4604, decode.d7.loss_dice: 0.7087, decode.d8.loss_cls: 0.2006, decode.d8.loss_mask: 0.4621, decode.d8.loss_dice: 0.7121, loss: 15.2394, grad_norm: 71.0550 2023-11-22 13:50:35,464 - mmseg - INFO - Iter [101850/160000] lr: 3.462e-06, eta: 9:28:09, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2286, decode.loss_mask: 0.4693, decode.loss_dice: 0.7106, decode.d0.loss_cls: 1.3336, decode.d0.loss_mask: 0.5091, decode.d0.loss_dice: 0.7951, decode.d1.loss_cls: 0.3131, decode.d1.loss_mask: 0.4926, decode.d1.loss_dice: 0.7509, decode.d2.loss_cls: 0.2659, decode.d2.loss_mask: 0.4800, decode.d2.loss_dice: 0.7289, decode.d3.loss_cls: 0.2490, decode.d3.loss_mask: 0.4753, decode.d3.loss_dice: 0.7170, decode.d4.loss_cls: 0.2395, decode.d4.loss_mask: 0.4744, decode.d4.loss_dice: 0.7150, decode.d5.loss_cls: 0.2354, decode.d5.loss_mask: 0.4734, decode.d5.loss_dice: 0.7143, decode.d6.loss_cls: 0.2290, decode.d6.loss_mask: 0.4732, decode.d6.loss_dice: 0.7068, decode.d7.loss_cls: 0.2279, decode.d7.loss_mask: 0.4727, decode.d7.loss_dice: 0.7105, decode.d8.loss_cls: 0.2251, decode.d8.loss_mask: 0.4713, decode.d8.loss_dice: 0.7109, loss: 15.5985, grad_norm: 70.2190 2023-11-22 13:51:03,775 - mmseg - INFO - Iter [101900/160000] lr: 3.459e-06, eta: 9:27:39, time: 0.566, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2332, decode.loss_mask: 0.4735, decode.loss_dice: 0.7216, decode.d0.loss_cls: 1.3818, decode.d0.loss_mask: 0.5055, decode.d0.loss_dice: 0.8075, decode.d1.loss_cls: 0.3217, decode.d1.loss_mask: 0.4943, decode.d1.loss_dice: 0.7633, decode.d2.loss_cls: 0.2797, decode.d2.loss_mask: 0.4856, decode.d2.loss_dice: 0.7414, decode.d3.loss_cls: 0.2578, decode.d3.loss_mask: 0.4778, decode.d3.loss_dice: 0.7346, decode.d4.loss_cls: 0.2500, decode.d4.loss_mask: 0.4794, decode.d4.loss_dice: 0.7295, decode.d5.loss_cls: 0.2398, decode.d5.loss_mask: 0.4755, decode.d5.loss_dice: 0.7277, decode.d6.loss_cls: 0.2400, decode.d6.loss_mask: 0.4740, decode.d6.loss_dice: 0.7270, decode.d7.loss_cls: 0.2369, decode.d7.loss_mask: 0.4739, decode.d7.loss_dice: 0.7283, decode.d8.loss_cls: 0.2357, decode.d8.loss_mask: 0.4746, decode.d8.loss_dice: 0.7259, loss: 15.8977, grad_norm: 72.7457 2023-11-22 13:51:32,175 - mmseg - INFO - Iter [101950/160000] lr: 3.456e-06, eta: 9:27:09, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2310, decode.loss_mask: 0.4663, decode.loss_dice: 0.7163, decode.d0.loss_cls: 1.3355, decode.d0.loss_mask: 0.5017, decode.d0.loss_dice: 0.7954, decode.d1.loss_cls: 0.3056, decode.d1.loss_mask: 0.4822, decode.d1.loss_dice: 0.7547, decode.d2.loss_cls: 0.2578, decode.d2.loss_mask: 0.4744, decode.d2.loss_dice: 0.7359, decode.d3.loss_cls: 0.2434, decode.d3.loss_mask: 0.4697, decode.d3.loss_dice: 0.7213, decode.d4.loss_cls: 0.2363, decode.d4.loss_mask: 0.4691, decode.d4.loss_dice: 0.7240, decode.d5.loss_cls: 0.2350, decode.d5.loss_mask: 0.4687, decode.d5.loss_dice: 0.7230, decode.d6.loss_cls: 0.2345, decode.d6.loss_mask: 0.4672, decode.d6.loss_dice: 0.7198, decode.d7.loss_cls: 0.2288, decode.d7.loss_mask: 0.4651, decode.d7.loss_dice: 0.7175, decode.d8.loss_cls: 0.2304, decode.d8.loss_mask: 0.4668, decode.d8.loss_dice: 0.7178, loss: 15.5951, grad_norm: 72.2884 2023-11-22 13:52:00,437 - mmseg - INFO - Saving checkpoint at 102000 iterations 2023-11-22 13:52:09,354 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 13:52:09,354 - mmseg - INFO - Iter [102000/160000] lr: 3.453e-06, eta: 9:26:44, time: 0.744, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2445, decode.loss_mask: 0.4683, decode.loss_dice: 0.7063, decode.d0.loss_cls: 1.3348, decode.d0.loss_mask: 0.4984, decode.d0.loss_dice: 0.7845, decode.d1.loss_cls: 0.3068, decode.d1.loss_mask: 0.4848, decode.d1.loss_dice: 0.7511, decode.d2.loss_cls: 0.2698, decode.d2.loss_mask: 0.4788, decode.d2.loss_dice: 0.7292, decode.d3.loss_cls: 0.2523, decode.d3.loss_mask: 0.4716, decode.d3.loss_dice: 0.7158, decode.d4.loss_cls: 0.2428, decode.d4.loss_mask: 0.4729, decode.d4.loss_dice: 0.7108, decode.d5.loss_cls: 0.2366, decode.d5.loss_mask: 0.4714, decode.d5.loss_dice: 0.7134, decode.d6.loss_cls: 0.2375, decode.d6.loss_mask: 0.4697, decode.d6.loss_dice: 0.7096, decode.d7.loss_cls: 0.2365, decode.d7.loss_mask: 0.4688, decode.d7.loss_dice: 0.7084, decode.d8.loss_cls: 0.2366, decode.d8.loss_mask: 0.4689, decode.d8.loss_dice: 0.7088, loss: 15.5897, grad_norm: 73.7940 2023-11-22 13:52:29,186 - mmseg - INFO - per class results: 2023-11-22 13:52:29,191 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.11 | 88.43 | | building | 82.69 | 89.42 | | sky | 95.1 | 97.66 | | floor | 84.65 | 90.79 | | tree | 75.77 | 88.28 | | ceiling | 85.19 | 91.61 | | road | 86.02 | 91.14 | | bed | 91.86 | 96.02 | | windowpane | 65.67 | 80.48 | | grass | 69.61 | 80.56 | | cabinet | 62.97 | 72.86 | | sidewalk | 69.07 | 78.16 | | person | 86.29 | 93.53 | | earth | 41.57 | 64.46 | | door | 54.19 | 69.57 | | table | 70.07 | 82.65 | | mountain | 58.57 | 74.56 | | plant | 54.12 | 65.18 | | curtain | 76.57 | 88.06 | | chair | 65.23 | 75.98 | | car | 87.44 | 93.42 | | water | 60.83 | 79.58 | | painting | 71.86 | 90.55 | | sofa | 76.22 | 87.56 | | shelf | 44.25 | 57.39 | | house | 41.75 | 77.95 | | sea | 69.16 | 90.71 | | mirror | 75.36 | 83.78 | | rug | 66.11 | 78.63 | | field | 39.97 | 59.14 | | armchair | 56.43 | 79.23 | | seat | 63.09 | 88.21 | | fence | 53.82 | 66.32 | | desk | 54.11 | 77.8 | | rock | 51.82 | 71.62 | | wardrobe | 49.96 | 77.09 | | lamp | 71.87 | 82.2 | | bathtub | 80.29 | 87.63 | | railing | 36.28 | 52.99 | | cushion | 66.21 | 74.28 | | base | 32.55 | 55.75 | | box | 31.28 | 44.72 | | column | 52.4 | 69.5 | | signboard | 41.81 | 61.78 | | chest of drawers | 41.05 | 72.65 | | counter | 44.2 | 56.17 | | sand | 39.46 | 52.3 | | sink | 84.03 | 89.0 | | skyscraper | 60.24 | 79.48 | | fireplace | 72.7 | 90.78 | | refrigerator | 82.17 | 90.3 | | grandstand | 44.76 | 77.24 | | path | 26.11 | 46.96 | | stairs | 32.3 | 40.03 | | runway | 76.05 | 97.32 | | case | 63.26 | 86.72 | | pool table | 95.43 | 97.95 | | pillow | 64.77 | 77.18 | | screen door | 76.87 | 84.62 | | stairway | 39.16 | 52.83 | | river | 15.01 | 20.24 | | bridge | 62.6 | 90.26 | | bookcase | 33.88 | 58.51 | | blind | 44.3 | 51.52 | | coffee table | 67.56 | 87.82 | | toilet | 91.53 | 94.07 | | flower | 43.67 | 64.82 | | book | 52.04 | 80.77 | | hill | 10.45 | 15.86 | | bench | 62.1 | 71.41 | | countertop | 62.27 | 78.79 | | stove | 86.42 | 92.28 | | palm | 53.52 | 84.83 | | kitchen island | 53.95 | 79.76 | | computer | 73.21 | 82.43 | | swivel chair | 51.52 | 73.67 | | boat | 35.77 | 54.02 | | bar | 67.31 | 77.66 | | arcade machine | 76.22 | 81.97 | | hovel | 46.2 | 49.38 | | bus | 91.06 | 96.71 | | towel | 78.87 | 90.03 | | light | 64.97 | 80.23 | | truck | 42.73 | 58.92 | | tower | 46.73 | 76.27 | | chandelier | 68.07 | 84.56 | | awning | 33.25 | 47.61 | | streetlight | 48.51 | 66.01 | | booth | 50.43 | 61.43 | | television receiver | 75.65 | 83.18 | | airplane | 71.37 | 77.31 | | dirt track | 4.27 | 18.93 | | apparel | 50.85 | 69.67 | | pole | 36.99 | 65.15 | | land | 4.46 | 7.52 | | bannister | 17.93 | 32.3 | | escalator | 23.77 | 25.48 | | ottoman | 52.02 | 76.67 | | bottle | 37.31 | 62.93 | | buffet | 51.39 | 65.76 | | poster | 28.18 | 44.27 | | stage | 25.62 | 40.4 | | van | 44.01 | 67.18 | | ship | 4.87 | 9.16 | | fountain | 21.55 | 21.86 | | conveyer belt | 66.87 | 95.8 | | canopy | 25.92 | 50.29 | | washer | 72.07 | 73.85 | | plaything | 48.93 | 75.07 | | swimming pool | 69.34 | 75.11 | | stool | 57.15 | 75.06 | | barrel | 49.15 | 98.68 | | basket | 45.51 | 57.99 | | waterfall | 50.81 | 57.07 | | tent | 88.75 | 98.06 | | bag | 23.19 | 36.17 | | minibike | 69.47 | 91.24 | | cradle | 90.84 | 97.61 | | oven | 29.44 | 82.1 | | ball | 53.21 | 58.37 | | food | 61.29 | 73.29 | | step | 27.56 | 43.83 | | tank | 60.91 | 66.28 | | trade name | 27.43 | 32.78 | | microwave | 43.03 | 45.62 | | pot | 51.18 | 61.27 | | animal | 63.25 | 64.88 | | bicycle | 58.13 | 82.23 | | lake | 0.0 | 0.0 | | dishwasher | 80.9 | 87.85 | | screen | 57.08 | 91.9 | | blanket | 42.57 | 56.29 | | sculpture | 62.25 | 89.64 | | hood | 86.54 | 93.57 | | sconce | 61.47 | 75.96 | | vase | 55.11 | 77.34 | | traffic light | 45.27 | 75.97 | | tray | 20.06 | 29.31 | | ashcan | 51.44 | 76.65 | | fan | 71.09 | 86.43 | | pier | 63.0 | 81.45 | | crt screen | 2.21 | 6.47 | | plate | 65.65 | 83.86 | | monitor | 1.99 | 2.52 | | bulletin board | 42.9 | 80.77 | | shower | 20.97 | 27.09 | | radiator | 67.98 | 80.8 | | glass | 25.75 | 28.65 | | clock | 57.99 | 70.35 | | flag | 72.63 | 87.08 | +---------------------+-------+-------+ 2023-11-22 13:52:29,191 - mmseg - INFO - Summary: 2023-11-22 13:52:29,191 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.88 | 54.84 | 69.61 | +-------+-------+-------+ 2023-11-22 13:52:29,192 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 13:52:29,192 - mmseg - INFO - Iter(val) [250] aAcc: 0.8488, mIoU: 0.5484, mAcc: 0.6961, IoU.wall: 0.8111, IoU.building: 0.8269, IoU.sky: 0.9510, IoU.floor: 0.8465, IoU.tree: 0.7577, IoU.ceiling: 0.8519, IoU.road: 0.8602, IoU.bed : 0.9186, IoU.windowpane: 0.6567, IoU.grass: 0.6961, IoU.cabinet: 0.6297, IoU.sidewalk: 0.6907, IoU.person: 0.8629, IoU.earth: 0.4157, IoU.door: 0.5419, IoU.table: 0.7007, IoU.mountain: 0.5857, IoU.plant: 0.5412, IoU.curtain: 0.7657, IoU.chair: 0.6523, IoU.car: 0.8744, IoU.water: 0.6083, IoU.painting: 0.7186, IoU.sofa: 0.7622, IoU.shelf: 0.4425, IoU.house: 0.4175, IoU.sea: 0.6916, IoU.mirror: 0.7536, IoU.rug: 0.6611, IoU.field: 0.3997, IoU.armchair: 0.5643, IoU.seat: 0.6309, IoU.fence: 0.5382, IoU.desk: 0.5411, IoU.rock: 0.5182, IoU.wardrobe: 0.4996, IoU.lamp: 0.7187, IoU.bathtub: 0.8029, IoU.railing: 0.3628, IoU.cushion: 0.6621, IoU.base: 0.3255, IoU.box: 0.3128, IoU.column: 0.5240, IoU.signboard: 0.4181, IoU.chest of drawers: 0.4105, IoU.counter: 0.4420, IoU.sand: 0.3946, IoU.sink: 0.8403, IoU.skyscraper: 0.6024, IoU.fireplace: 0.7270, IoU.refrigerator: 0.8217, IoU.grandstand: 0.4476, IoU.path: 0.2611, IoU.stairs: 0.3230, IoU.runway: 0.7605, IoU.case: 0.6326, IoU.pool table: 0.9543, IoU.pillow: 0.6477, IoU.screen door: 0.7687, IoU.stairway: 0.3916, IoU.river: 0.1501, IoU.bridge: 0.6260, IoU.bookcase: 0.3388, IoU.blind: 0.4430, IoU.coffee table: 0.6756, IoU.toilet: 0.9153, IoU.flower: 0.4367, IoU.book: 0.5204, IoU.hill: 0.1045, IoU.bench: 0.6210, IoU.countertop: 0.6227, IoU.stove: 0.8642, IoU.palm: 0.5352, IoU.kitchen island: 0.5395, IoU.computer: 0.7321, IoU.swivel chair: 0.5152, IoU.boat: 0.3577, IoU.bar: 0.6731, IoU.arcade machine: 0.7622, IoU.hovel: 0.4620, IoU.bus: 0.9106, IoU.towel: 0.7887, IoU.light: 0.6497, IoU.truck: 0.4273, IoU.tower: 0.4673, IoU.chandelier: 0.6807, IoU.awning: 0.3325, IoU.streetlight: 0.4851, IoU.booth: 0.5043, IoU.television receiver: 0.7565, IoU.airplane: 0.7137, IoU.dirt track: 0.0427, IoU.apparel: 0.5085, IoU.pole: 0.3699, IoU.land: 0.0446, IoU.bannister: 0.1793, IoU.escalator: 0.2377, IoU.ottoman: 0.5202, IoU.bottle: 0.3731, IoU.buffet: 0.5139, IoU.poster: 0.2818, IoU.stage: 0.2562, IoU.van: 0.4401, IoU.ship: 0.0487, IoU.fountain: 0.2155, IoU.conveyer belt: 0.6687, IoU.canopy: 0.2592, IoU.washer: 0.7207, IoU.plaything: 0.4893, IoU.swimming pool: 0.6934, IoU.stool: 0.5715, IoU.barrel: 0.4915, IoU.basket: 0.4551, IoU.waterfall: 0.5081, IoU.tent: 0.8875, IoU.bag: 0.2319, IoU.minibike: 0.6947, IoU.cradle: 0.9084, IoU.oven: 0.2944, IoU.ball: 0.5321, IoU.food: 0.6129, IoU.step: 0.2756, IoU.tank: 0.6091, IoU.trade name: 0.2743, IoU.microwave: 0.4303, IoU.pot: 0.5118, IoU.animal: 0.6325, IoU.bicycle: 0.5813, IoU.lake: 0.0000, IoU.dishwasher: 0.8090, IoU.screen: 0.5708, IoU.blanket: 0.4257, IoU.sculpture: 0.6225, IoU.hood: 0.8654, IoU.sconce: 0.6147, IoU.vase: 0.5511, IoU.traffic light: 0.4527, IoU.tray: 0.2006, IoU.ashcan: 0.5144, IoU.fan: 0.7109, IoU.pier: 0.6300, IoU.crt screen: 0.0221, IoU.plate: 0.6565, IoU.monitor: 0.0199, IoU.bulletin board: 0.4290, IoU.shower: 0.2097, IoU.radiator: 0.6798, IoU.glass: 0.2575, IoU.clock: 0.5799, IoU.flag: 0.7263, Acc.wall: 0.8843, Acc.building: 0.8942, Acc.sky: 0.9766, Acc.floor: 0.9079, Acc.tree: 0.8828, Acc.ceiling: 0.9161, Acc.road: 0.9114, Acc.bed : 0.9602, Acc.windowpane: 0.8048, Acc.grass: 0.8056, Acc.cabinet: 0.7286, Acc.sidewalk: 0.7816, Acc.person: 0.9353, Acc.earth: 0.6446, Acc.door: 0.6957, Acc.table: 0.8265, Acc.mountain: 0.7456, Acc.plant: 0.6518, Acc.curtain: 0.8806, Acc.chair: 0.7598, Acc.car: 0.9342, Acc.water: 0.7958, Acc.painting: 0.9055, Acc.sofa: 0.8756, Acc.shelf: 0.5739, Acc.house: 0.7795, Acc.sea: 0.9071, Acc.mirror: 0.8378, Acc.rug: 0.7863, Acc.field: 0.5914, Acc.armchair: 0.7923, Acc.seat: 0.8821, Acc.fence: 0.6632, Acc.desk: 0.7780, Acc.rock: 0.7162, Acc.wardrobe: 0.7709, Acc.lamp: 0.8220, Acc.bathtub: 0.8763, Acc.railing: 0.5299, Acc.cushion: 0.7428, Acc.base: 0.5575, Acc.box: 0.4472, Acc.column: 0.6950, Acc.signboard: 0.6178, Acc.chest of drawers: 0.7265, Acc.counter: 0.5617, Acc.sand: 0.5230, Acc.sink: 0.8900, Acc.skyscraper: 0.7948, Acc.fireplace: 0.9078, Acc.refrigerator: 0.9030, Acc.grandstand: 0.7724, Acc.path: 0.4696, Acc.stairs: 0.4003, Acc.runway: 0.9732, Acc.case: 0.8672, Acc.pool table: 0.9795, Acc.pillow: 0.7718, Acc.screen door: 0.8462, Acc.stairway: 0.5283, Acc.river: 0.2024, Acc.bridge: 0.9026, Acc.bookcase: 0.5851, Acc.blind: 0.5152, Acc.coffee table: 0.8782, Acc.toilet: 0.9407, Acc.flower: 0.6482, Acc.book: 0.8077, Acc.hill: 0.1586, Acc.bench: 0.7141, Acc.countertop: 0.7879, Acc.stove: 0.9228, Acc.palm: 0.8483, Acc.kitchen island: 0.7976, Acc.computer: 0.8243, Acc.swivel chair: 0.7367, Acc.boat: 0.5402, Acc.bar: 0.7766, Acc.arcade machine: 0.8197, Acc.hovel: 0.4938, Acc.bus: 0.9671, Acc.towel: 0.9003, Acc.light: 0.8023, Acc.truck: 0.5892, Acc.tower: 0.7627, Acc.chandelier: 0.8456, Acc.awning: 0.4761, Acc.streetlight: 0.6601, Acc.booth: 0.6143, Acc.television receiver: 0.8318, Acc.airplane: 0.7731, Acc.dirt track: 0.1893, Acc.apparel: 0.6967, Acc.pole: 0.6515, Acc.land: 0.0752, Acc.bannister: 0.3230, Acc.escalator: 0.2548, Acc.ottoman: 0.7667, Acc.bottle: 0.6293, Acc.buffet: 0.6576, Acc.poster: 0.4427, Acc.stage: 0.4040, Acc.van: 0.6718, Acc.ship: 0.0916, Acc.fountain: 0.2186, Acc.conveyer belt: 0.9580, Acc.canopy: 0.5029, Acc.washer: 0.7385, Acc.plaything: 0.7507, Acc.swimming pool: 0.7511, Acc.stool: 0.7506, Acc.barrel: 0.9868, Acc.basket: 0.5799, Acc.waterfall: 0.5707, Acc.tent: 0.9806, Acc.bag: 0.3617, Acc.minibike: 0.9124, Acc.cradle: 0.9761, Acc.oven: 0.8210, Acc.ball: 0.5837, Acc.food: 0.7329, Acc.step: 0.4383, Acc.tank: 0.6628, Acc.trade name: 0.3278, Acc.microwave: 0.4562, Acc.pot: 0.6127, Acc.animal: 0.6488, Acc.bicycle: 0.8223, Acc.lake: 0.0000, Acc.dishwasher: 0.8785, Acc.screen: 0.9190, Acc.blanket: 0.5629, Acc.sculpture: 0.8964, Acc.hood: 0.9357, Acc.sconce: 0.7596, Acc.vase: 0.7734, Acc.traffic light: 0.7597, Acc.tray: 0.2931, Acc.ashcan: 0.7665, Acc.fan: 0.8643, Acc.pier: 0.8145, Acc.crt screen: 0.0647, Acc.plate: 0.8386, Acc.monitor: 0.0252, Acc.bulletin board: 0.8077, Acc.shower: 0.2709, Acc.radiator: 0.8080, Acc.glass: 0.2865, Acc.clock: 0.7035, Acc.flag: 0.8708 2023-11-22 13:52:57,622 - mmseg - INFO - Iter [102050/160000] lr: 3.450e-06, eta: 9:26:26, time: 0.965, data_time: 0.409, memory: 38143, decode.loss_cls: 0.2325, decode.loss_mask: 0.4891, decode.loss_dice: 0.7275, decode.d0.loss_cls: 1.2865, decode.d0.loss_mask: 0.5239, decode.d0.loss_dice: 0.8116, decode.d1.loss_cls: 0.3059, decode.d1.loss_mask: 0.5036, decode.d1.loss_dice: 0.7645, decode.d2.loss_cls: 0.2678, decode.d2.loss_mask: 0.4966, decode.d2.loss_dice: 0.7483, decode.d3.loss_cls: 0.2457, decode.d3.loss_mask: 0.4901, decode.d3.loss_dice: 0.7290, decode.d4.loss_cls: 0.2378, decode.d4.loss_mask: 0.4879, decode.d4.loss_dice: 0.7334, decode.d5.loss_cls: 0.2377, decode.d5.loss_mask: 0.4891, decode.d5.loss_dice: 0.7309, decode.d6.loss_cls: 0.2356, decode.d6.loss_mask: 0.4873, decode.d6.loss_dice: 0.7234, decode.d7.loss_cls: 0.2324, decode.d7.loss_mask: 0.4876, decode.d7.loss_dice: 0.7274, decode.d8.loss_cls: 0.2315, decode.d8.loss_mask: 0.4888, decode.d8.loss_dice: 0.7284, loss: 15.8818, grad_norm: 71.7267 2023-11-22 13:53:26,284 - mmseg - INFO - Iter [102100/160000] lr: 3.447e-06, eta: 9:25:56, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2145, decode.loss_mask: 0.4809, decode.loss_dice: 0.7019, decode.d0.loss_cls: 1.2855, decode.d0.loss_mask: 0.5186, decode.d0.loss_dice: 0.7827, decode.d1.loss_cls: 0.2950, decode.d1.loss_mask: 0.4969, decode.d1.loss_dice: 0.7430, decode.d2.loss_cls: 0.2523, decode.d2.loss_mask: 0.4900, decode.d2.loss_dice: 0.7205, decode.d3.loss_cls: 0.2326, decode.d3.loss_mask: 0.4844, decode.d3.loss_dice: 0.7116, decode.d4.loss_cls: 0.2213, decode.d4.loss_mask: 0.4841, decode.d4.loss_dice: 0.7073, decode.d5.loss_cls: 0.2174, decode.d5.loss_mask: 0.4823, decode.d5.loss_dice: 0.7058, decode.d6.loss_cls: 0.2195, decode.d6.loss_mask: 0.4813, decode.d6.loss_dice: 0.7029, decode.d7.loss_cls: 0.2137, decode.d7.loss_mask: 0.4813, decode.d7.loss_dice: 0.7043, decode.d8.loss_cls: 0.2106, decode.d8.loss_mask: 0.4803, decode.d8.loss_dice: 0.7025, loss: 15.4249, grad_norm: 68.5961 2023-11-22 13:53:54,322 - mmseg - INFO - Iter [102150/160000] lr: 3.444e-06, eta: 9:25:26, time: 0.561, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2087, decode.loss_mask: 0.4836, decode.loss_dice: 0.7067, decode.d0.loss_cls: 1.3102, decode.d0.loss_mask: 0.5197, decode.d0.loss_dice: 0.7859, decode.d1.loss_cls: 0.2888, decode.d1.loss_mask: 0.4994, decode.d1.loss_dice: 0.7494, decode.d2.loss_cls: 0.2356, decode.d2.loss_mask: 0.4922, decode.d2.loss_dice: 0.7328, decode.d3.loss_cls: 0.2216, decode.d3.loss_mask: 0.4841, decode.d3.loss_dice: 0.7207, decode.d4.loss_cls: 0.2162, decode.d4.loss_mask: 0.4847, decode.d4.loss_dice: 0.7142, decode.d5.loss_cls: 0.2198, decode.d5.loss_mask: 0.4848, decode.d5.loss_dice: 0.7141, decode.d6.loss_cls: 0.2159, decode.d6.loss_mask: 0.4824, decode.d6.loss_dice: 0.7061, decode.d7.loss_cls: 0.2053, decode.d7.loss_mask: 0.4833, decode.d7.loss_dice: 0.7102, decode.d8.loss_cls: 0.2075, decode.d8.loss_mask: 0.4834, decode.d8.loss_dice: 0.7114, loss: 15.4786, grad_norm: 69.0512 2023-11-22 13:54:22,612 - mmseg - INFO - Iter [102200/160000] lr: 3.441e-06, eta: 9:24:56, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2219, decode.loss_mask: 0.4821, decode.loss_dice: 0.7216, decode.d0.loss_cls: 1.3111, decode.d0.loss_mask: 0.5222, decode.d0.loss_dice: 0.8123, decode.d1.loss_cls: 0.2965, decode.d1.loss_mask: 0.5037, decode.d1.loss_dice: 0.7626, decode.d2.loss_cls: 0.2474, decode.d2.loss_mask: 0.4914, decode.d2.loss_dice: 0.7476, decode.d3.loss_cls: 0.2404, decode.d3.loss_mask: 0.4872, decode.d3.loss_dice: 0.7309, decode.d4.loss_cls: 0.2339, decode.d4.loss_mask: 0.4898, decode.d4.loss_dice: 0.7319, decode.d5.loss_cls: 0.2275, decode.d5.loss_mask: 0.4860, decode.d5.loss_dice: 0.7288, decode.d6.loss_cls: 0.2279, decode.d6.loss_mask: 0.4823, decode.d6.loss_dice: 0.7239, decode.d7.loss_cls: 0.2267, decode.d7.loss_mask: 0.4811, decode.d7.loss_dice: 0.7259, decode.d8.loss_cls: 0.2217, decode.d8.loss_mask: 0.4830, decode.d8.loss_dice: 0.7292, loss: 15.7785, grad_norm: 73.1179 2023-11-22 13:54:50,898 - mmseg - INFO - Iter [102250/160000] lr: 3.438e-06, eta: 9:24:26, time: 0.566, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2241, decode.loss_mask: 0.4698, decode.loss_dice: 0.7035, decode.d0.loss_cls: 1.3626, decode.d0.loss_mask: 0.5033, decode.d0.loss_dice: 0.7917, decode.d1.loss_cls: 0.3078, decode.d1.loss_mask: 0.4862, decode.d1.loss_dice: 0.7511, decode.d2.loss_cls: 0.2636, decode.d2.loss_mask: 0.4802, decode.d2.loss_dice: 0.7281, decode.d3.loss_cls: 0.2376, decode.d3.loss_mask: 0.4760, decode.d3.loss_dice: 0.7141, decode.d4.loss_cls: 0.2331, decode.d4.loss_mask: 0.4746, decode.d4.loss_dice: 0.7135, decode.d5.loss_cls: 0.2340, decode.d5.loss_mask: 0.4726, decode.d5.loss_dice: 0.7117, decode.d6.loss_cls: 0.2312, decode.d6.loss_mask: 0.4687, decode.d6.loss_dice: 0.7084, decode.d7.loss_cls: 0.2257, decode.d7.loss_mask: 0.4699, decode.d7.loss_dice: 0.7095, decode.d8.loss_cls: 0.2235, decode.d8.loss_mask: 0.4699, decode.d8.loss_dice: 0.7042, loss: 15.5501, grad_norm: 64.2672 2023-11-22 13:55:19,238 - mmseg - INFO - Iter [102300/160000] lr: 3.435e-06, eta: 9:23:56, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2284, decode.loss_mask: 0.4768, decode.loss_dice: 0.7227, decode.d0.loss_cls: 1.3266, decode.d0.loss_mask: 0.5051, decode.d0.loss_dice: 0.8053, decode.d1.loss_cls: 0.3046, decode.d1.loss_mask: 0.4935, decode.d1.loss_dice: 0.7661, decode.d2.loss_cls: 0.2584, decode.d2.loss_mask: 0.4846, decode.d2.loss_dice: 0.7492, decode.d3.loss_cls: 0.2418, decode.d3.loss_mask: 0.4790, decode.d3.loss_dice: 0.7351, decode.d4.loss_cls: 0.2355, decode.d4.loss_mask: 0.4801, decode.d4.loss_dice: 0.7308, decode.d5.loss_cls: 0.2345, decode.d5.loss_mask: 0.4800, decode.d5.loss_dice: 0.7277, decode.d6.loss_cls: 0.2307, decode.d6.loss_mask: 0.4779, decode.d6.loss_dice: 0.7255, decode.d7.loss_cls: 0.2284, decode.d7.loss_mask: 0.4782, decode.d7.loss_dice: 0.7273, decode.d8.loss_cls: 0.2276, decode.d8.loss_mask: 0.4793, decode.d8.loss_dice: 0.7260, loss: 15.7667, grad_norm: 70.3755 2023-11-22 13:55:50,393 - mmseg - INFO - Iter [102350/160000] lr: 3.432e-06, eta: 9:23:28, time: 0.621, data_time: 0.057, memory: 38143, decode.loss_cls: 0.2269, decode.loss_mask: 0.4657, decode.loss_dice: 0.7106, decode.d0.loss_cls: 1.3125, decode.d0.loss_mask: 0.4968, decode.d0.loss_dice: 0.7934, decode.d1.loss_cls: 0.2911, decode.d1.loss_mask: 0.4828, decode.d1.loss_dice: 0.7539, decode.d2.loss_cls: 0.2467, decode.d2.loss_mask: 0.4725, decode.d2.loss_dice: 0.7339, decode.d3.loss_cls: 0.2400, decode.d3.loss_mask: 0.4670, decode.d3.loss_dice: 0.7163, decode.d4.loss_cls: 0.2321, decode.d4.loss_mask: 0.4668, decode.d4.loss_dice: 0.7177, decode.d5.loss_cls: 0.2345, decode.d5.loss_mask: 0.4683, decode.d5.loss_dice: 0.7109, decode.d6.loss_cls: 0.2238, decode.d6.loss_mask: 0.4677, decode.d6.loss_dice: 0.7097, decode.d7.loss_cls: 0.2225, decode.d7.loss_mask: 0.4658, decode.d7.loss_dice: 0.7125, decode.d8.loss_cls: 0.2219, decode.d8.loss_mask: 0.4661, decode.d8.loss_dice: 0.7138, loss: 15.4446, grad_norm: 69.2831 2023-11-22 13:56:18,701 - mmseg - INFO - Iter [102400/160000] lr: 3.429e-06, eta: 9:22:58, time: 0.568, data_time: 0.015, memory: 38143, decode.loss_cls: 0.2137, decode.loss_mask: 0.4731, decode.loss_dice: 0.7002, decode.d0.loss_cls: 1.3500, decode.d0.loss_mask: 0.5036, decode.d0.loss_dice: 0.7821, decode.d1.loss_cls: 0.3074, decode.d1.loss_mask: 0.4916, decode.d1.loss_dice: 0.7405, decode.d2.loss_cls: 0.2580, decode.d2.loss_mask: 0.4778, decode.d2.loss_dice: 0.7164, decode.d3.loss_cls: 0.2387, decode.d3.loss_mask: 0.4741, decode.d3.loss_dice: 0.7048, decode.d4.loss_cls: 0.2289, decode.d4.loss_mask: 0.4754, decode.d4.loss_dice: 0.7077, decode.d5.loss_cls: 0.2245, decode.d5.loss_mask: 0.4762, decode.d5.loss_dice: 0.7071, decode.d6.loss_cls: 0.2231, decode.d6.loss_mask: 0.4734, decode.d6.loss_dice: 0.7015, decode.d7.loss_cls: 0.2157, decode.d7.loss_mask: 0.4718, decode.d7.loss_dice: 0.6992, decode.d8.loss_cls: 0.2130, decode.d8.loss_mask: 0.4726, decode.d8.loss_dice: 0.7018, loss: 15.4239, grad_norm: 82.8938 2023-11-22 13:56:47,088 - mmseg - INFO - Iter [102450/160000] lr: 3.426e-06, eta: 9:22:28, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2129, decode.loss_mask: 0.4632, decode.loss_dice: 0.6998, decode.d0.loss_cls: 1.3096, decode.d0.loss_mask: 0.4996, decode.d0.loss_dice: 0.7770, decode.d1.loss_cls: 0.2953, decode.d1.loss_mask: 0.4816, decode.d1.loss_dice: 0.7361, decode.d2.loss_cls: 0.2470, decode.d2.loss_mask: 0.4755, decode.d2.loss_dice: 0.7208, decode.d3.loss_cls: 0.2302, decode.d3.loss_mask: 0.4682, decode.d3.loss_dice: 0.7045, decode.d4.loss_cls: 0.2253, decode.d4.loss_mask: 0.4662, decode.d4.loss_dice: 0.7046, decode.d5.loss_cls: 0.2227, decode.d5.loss_mask: 0.4656, decode.d5.loss_dice: 0.7009, decode.d6.loss_cls: 0.2172, decode.d6.loss_mask: 0.4638, decode.d6.loss_dice: 0.6977, decode.d7.loss_cls: 0.2163, decode.d7.loss_mask: 0.4637, decode.d7.loss_dice: 0.6994, decode.d8.loss_cls: 0.2123, decode.d8.loss_mask: 0.4638, decode.d8.loss_dice: 0.7006, loss: 15.2413, grad_norm: 65.8675 2023-11-22 13:57:15,403 - mmseg - INFO - Iter [102500/160000] lr: 3.423e-06, eta: 9:21:58, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2080, decode.loss_mask: 0.4617, decode.loss_dice: 0.7076, decode.d0.loss_cls: 1.2934, decode.d0.loss_mask: 0.4945, decode.d0.loss_dice: 0.7853, decode.d1.loss_cls: 0.2904, decode.d1.loss_mask: 0.4762, decode.d1.loss_dice: 0.7416, decode.d2.loss_cls: 0.2424, decode.d2.loss_mask: 0.4715, decode.d2.loss_dice: 0.7305, decode.d3.loss_cls: 0.2244, decode.d3.loss_mask: 0.4663, decode.d3.loss_dice: 0.7157, decode.d4.loss_cls: 0.2173, decode.d4.loss_mask: 0.4645, decode.d4.loss_dice: 0.7106, decode.d5.loss_cls: 0.2147, decode.d5.loss_mask: 0.4636, decode.d5.loss_dice: 0.7115, decode.d6.loss_cls: 0.2118, decode.d6.loss_mask: 0.4633, decode.d6.loss_dice: 0.7080, decode.d7.loss_cls: 0.2099, decode.d7.loss_mask: 0.4620, decode.d7.loss_dice: 0.7066, decode.d8.loss_cls: 0.2066, decode.d8.loss_mask: 0.4620, decode.d8.loss_dice: 0.7068, loss: 15.2289, grad_norm: 66.4045 2023-11-22 13:57:43,905 - mmseg - INFO - Iter [102550/160000] lr: 3.420e-06, eta: 9:21:29, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2330, decode.loss_mask: 0.4899, decode.loss_dice: 0.7235, decode.d0.loss_cls: 1.3245, decode.d0.loss_mask: 0.5284, decode.d0.loss_dice: 0.8124, decode.d1.loss_cls: 0.3185, decode.d1.loss_mask: 0.5086, decode.d1.loss_dice: 0.7659, decode.d2.loss_cls: 0.2657, decode.d2.loss_mask: 0.5035, decode.d2.loss_dice: 0.7498, decode.d3.loss_cls: 0.2504, decode.d3.loss_mask: 0.4979, decode.d3.loss_dice: 0.7345, decode.d4.loss_cls: 0.2455, decode.d4.loss_mask: 0.4976, decode.d4.loss_dice: 0.7308, decode.d5.loss_cls: 0.2408, decode.d5.loss_mask: 0.4956, decode.d5.loss_dice: 0.7349, decode.d6.loss_cls: 0.2392, decode.d6.loss_mask: 0.4926, decode.d6.loss_dice: 0.7244, decode.d7.loss_cls: 0.2308, decode.d7.loss_mask: 0.4919, decode.d7.loss_dice: 0.7271, decode.d8.loss_cls: 0.2296, decode.d8.loss_mask: 0.4922, decode.d8.loss_dice: 0.7286, loss: 16.0080, grad_norm: 71.8493 2023-11-22 13:58:12,507 - mmseg - INFO - Iter [102600/160000] lr: 3.417e-06, eta: 9:20:59, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2332, decode.loss_mask: 0.4717, decode.loss_dice: 0.7431, decode.d0.loss_cls: 1.3572, decode.d0.loss_mask: 0.5042, decode.d0.loss_dice: 0.8339, decode.d1.loss_cls: 0.3234, decode.d1.loss_mask: 0.4866, decode.d1.loss_dice: 0.7842, decode.d2.loss_cls: 0.2754, decode.d2.loss_mask: 0.4779, decode.d2.loss_dice: 0.7654, decode.d3.loss_cls: 0.2580, decode.d3.loss_mask: 0.4742, decode.d3.loss_dice: 0.7529, decode.d4.loss_cls: 0.2392, decode.d4.loss_mask: 0.4762, decode.d4.loss_dice: 0.7579, decode.d5.loss_cls: 0.2375, decode.d5.loss_mask: 0.4735, decode.d5.loss_dice: 0.7543, decode.d6.loss_cls: 0.2414, decode.d6.loss_mask: 0.4729, decode.d6.loss_dice: 0.7493, decode.d7.loss_cls: 0.2335, decode.d7.loss_mask: 0.4742, decode.d7.loss_dice: 0.7475, decode.d8.loss_cls: 0.2346, decode.d8.loss_mask: 0.4720, decode.d8.loss_dice: 0.7477, loss: 16.0531, grad_norm: 72.1933 2023-11-22 13:58:41,020 - mmseg - INFO - Iter [102650/160000] lr: 3.414e-06, eta: 9:20:29, time: 0.573, data_time: 0.016, memory: 38143, decode.loss_cls: 0.2261, decode.loss_mask: 0.4684, decode.loss_dice: 0.7054, decode.d0.loss_cls: 1.3274, decode.d0.loss_mask: 0.5029, decode.d0.loss_dice: 0.7904, decode.d1.loss_cls: 0.3091, decode.d1.loss_mask: 0.4866, decode.d1.loss_dice: 0.7439, decode.d2.loss_cls: 0.2613, decode.d2.loss_mask: 0.4787, decode.d2.loss_dice: 0.7253, decode.d3.loss_cls: 0.2471, decode.d3.loss_mask: 0.4730, decode.d3.loss_dice: 0.7135, decode.d4.loss_cls: 0.2377, decode.d4.loss_mask: 0.4712, decode.d4.loss_dice: 0.7136, decode.d5.loss_cls: 0.2299, decode.d5.loss_mask: 0.4709, decode.d5.loss_dice: 0.7126, decode.d6.loss_cls: 0.2330, decode.d6.loss_mask: 0.4668, decode.d6.loss_dice: 0.7066, decode.d7.loss_cls: 0.2273, decode.d7.loss_mask: 0.4675, decode.d7.loss_dice: 0.7052, decode.d8.loss_cls: 0.2265, decode.d8.loss_mask: 0.4670, decode.d8.loss_dice: 0.7072, loss: 15.5018, grad_norm: 72.2887 2023-11-22 13:59:09,394 - mmseg - INFO - Iter [102700/160000] lr: 3.411e-06, eta: 9:19:59, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2037, decode.loss_mask: 0.4909, decode.loss_dice: 0.7027, decode.d0.loss_cls: 1.2686, decode.d0.loss_mask: 0.5243, decode.d0.loss_dice: 0.7796, decode.d1.loss_cls: 0.2800, decode.d1.loss_mask: 0.5076, decode.d1.loss_dice: 0.7473, decode.d2.loss_cls: 0.2372, decode.d2.loss_mask: 0.4973, decode.d2.loss_dice: 0.7220, decode.d3.loss_cls: 0.2230, decode.d3.loss_mask: 0.4951, decode.d3.loss_dice: 0.7121, decode.d4.loss_cls: 0.2154, decode.d4.loss_mask: 0.4930, decode.d4.loss_dice: 0.7082, decode.d5.loss_cls: 0.2153, decode.d5.loss_mask: 0.4908, decode.d5.loss_dice: 0.7069, decode.d6.loss_cls: 0.2117, decode.d6.loss_mask: 0.4908, decode.d6.loss_dice: 0.7034, decode.d7.loss_cls: 0.2062, decode.d7.loss_mask: 0.4906, decode.d7.loss_dice: 0.7007, decode.d8.loss_cls: 0.2050, decode.d8.loss_mask: 0.4894, decode.d8.loss_dice: 0.7029, loss: 15.4215, grad_norm: 71.9035 2023-11-22 13:59:37,720 - mmseg - INFO - Iter [102750/160000] lr: 3.408e-06, eta: 9:19:29, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2383, decode.loss_mask: 0.4803, decode.loss_dice: 0.7190, decode.d0.loss_cls: 1.3358, decode.d0.loss_mask: 0.5170, decode.d0.loss_dice: 0.8090, decode.d1.loss_cls: 0.3168, decode.d1.loss_mask: 0.5025, decode.d1.loss_dice: 0.7588, decode.d2.loss_cls: 0.2687, decode.d2.loss_mask: 0.4900, decode.d2.loss_dice: 0.7382, decode.d3.loss_cls: 0.2555, decode.d3.loss_mask: 0.4871, decode.d3.loss_dice: 0.7239, decode.d4.loss_cls: 0.2496, decode.d4.loss_mask: 0.4870, decode.d4.loss_dice: 0.7240, decode.d5.loss_cls: 0.2431, decode.d5.loss_mask: 0.4871, decode.d5.loss_dice: 0.7235, decode.d6.loss_cls: 0.2495, decode.d6.loss_mask: 0.4842, decode.d6.loss_dice: 0.7176, decode.d7.loss_cls: 0.2420, decode.d7.loss_mask: 0.4835, decode.d7.loss_dice: 0.7172, decode.d8.loss_cls: 0.2356, decode.d8.loss_mask: 0.4814, decode.d8.loss_dice: 0.7234, loss: 15.8895, grad_norm: 73.5349 2023-11-22 14:00:06,160 - mmseg - INFO - Iter [102800/160000] lr: 3.405e-06, eta: 9:19:00, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2260, decode.loss_mask: 0.4626, decode.loss_dice: 0.7081, decode.d0.loss_cls: 1.3254, decode.d0.loss_mask: 0.4990, decode.d0.loss_dice: 0.7932, decode.d1.loss_cls: 0.3096, decode.d1.loss_mask: 0.4742, decode.d1.loss_dice: 0.7438, decode.d2.loss_cls: 0.2599, decode.d2.loss_mask: 0.4708, decode.d2.loss_dice: 0.7243, decode.d3.loss_cls: 0.2433, decode.d3.loss_mask: 0.4645, decode.d3.loss_dice: 0.7123, decode.d4.loss_cls: 0.2391, decode.d4.loss_mask: 0.4645, decode.d4.loss_dice: 0.7104, decode.d5.loss_cls: 0.2323, decode.d5.loss_mask: 0.4637, decode.d5.loss_dice: 0.7097, decode.d6.loss_cls: 0.2284, decode.d6.loss_mask: 0.4606, decode.d6.loss_dice: 0.7078, decode.d7.loss_cls: 0.2248, decode.d7.loss_mask: 0.4617, decode.d7.loss_dice: 0.7100, decode.d8.loss_cls: 0.2237, decode.d8.loss_mask: 0.4619, decode.d8.loss_dice: 0.7070, loss: 15.4225, grad_norm: 71.1272 2023-11-22 14:00:34,362 - mmseg - INFO - Iter [102850/160000] lr: 3.402e-06, eta: 9:18:30, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2334, decode.loss_mask: 0.4781, decode.loss_dice: 0.7162, decode.d0.loss_cls: 1.3238, decode.d0.loss_mask: 0.5147, decode.d0.loss_dice: 0.8103, decode.d1.loss_cls: 0.3179, decode.d1.loss_mask: 0.4949, decode.d1.loss_dice: 0.7617, decode.d2.loss_cls: 0.2714, decode.d2.loss_mask: 0.4870, decode.d2.loss_dice: 0.7446, decode.d3.loss_cls: 0.2512, decode.d3.loss_mask: 0.4817, decode.d3.loss_dice: 0.7251, decode.d4.loss_cls: 0.2414, decode.d4.loss_mask: 0.4811, decode.d4.loss_dice: 0.7237, decode.d5.loss_cls: 0.2380, decode.d5.loss_mask: 0.4805, decode.d5.loss_dice: 0.7241, decode.d6.loss_cls: 0.2353, decode.d6.loss_mask: 0.4771, decode.d6.loss_dice: 0.7177, decode.d7.loss_cls: 0.2323, decode.d7.loss_mask: 0.4802, decode.d7.loss_dice: 0.7183, decode.d8.loss_cls: 0.2326, decode.d8.loss_mask: 0.4783, decode.d8.loss_dice: 0.7214, loss: 15.7939, grad_norm: 71.3476 2023-11-22 14:01:02,875 - mmseg - INFO - Iter [102900/160000] lr: 3.399e-06, eta: 9:18:00, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2163, decode.loss_mask: 0.4703, decode.loss_dice: 0.7056, decode.d0.loss_cls: 1.3522, decode.d0.loss_mask: 0.5104, decode.d0.loss_dice: 0.7921, decode.d1.loss_cls: 0.3049, decode.d1.loss_mask: 0.4850, decode.d1.loss_dice: 0.7411, decode.d2.loss_cls: 0.2495, decode.d2.loss_mask: 0.4772, decode.d2.loss_dice: 0.7249, decode.d3.loss_cls: 0.2321, decode.d3.loss_mask: 0.4736, decode.d3.loss_dice: 0.7084, decode.d4.loss_cls: 0.2215, decode.d4.loss_mask: 0.4730, decode.d4.loss_dice: 0.7112, decode.d5.loss_cls: 0.2204, decode.d5.loss_mask: 0.4728, decode.d5.loss_dice: 0.7097, decode.d6.loss_cls: 0.2220, decode.d6.loss_mask: 0.4728, decode.d6.loss_dice: 0.7043, decode.d7.loss_cls: 0.2190, decode.d7.loss_mask: 0.4715, decode.d7.loss_dice: 0.7052, decode.d8.loss_cls: 0.2159, decode.d8.loss_mask: 0.4707, decode.d8.loss_dice: 0.7047, loss: 15.4384, grad_norm: 70.1478 2023-11-22 14:01:31,368 - mmseg - INFO - Iter [102950/160000] lr: 3.396e-06, eta: 9:17:30, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1994, decode.loss_mask: 0.4636, decode.loss_dice: 0.7029, decode.d0.loss_cls: 1.2931, decode.d0.loss_mask: 0.4974, decode.d0.loss_dice: 0.7809, decode.d1.loss_cls: 0.2921, decode.d1.loss_mask: 0.4807, decode.d1.loss_dice: 0.7350, decode.d2.loss_cls: 0.2433, decode.d2.loss_mask: 0.4737, decode.d2.loss_dice: 0.7218, decode.d3.loss_cls: 0.2240, decode.d3.loss_mask: 0.4670, decode.d3.loss_dice: 0.7039, decode.d4.loss_cls: 0.2157, decode.d4.loss_mask: 0.4662, decode.d4.loss_dice: 0.7036, decode.d5.loss_cls: 0.2111, decode.d5.loss_mask: 0.4673, decode.d5.loss_dice: 0.7025, decode.d6.loss_cls: 0.2098, decode.d6.loss_mask: 0.4647, decode.d6.loss_dice: 0.6986, decode.d7.loss_cls: 0.2075, decode.d7.loss_mask: 0.4649, decode.d7.loss_dice: 0.6990, decode.d8.loss_cls: 0.2019, decode.d8.loss_mask: 0.4646, decode.d8.loss_dice: 0.7025, loss: 15.1588, grad_norm: 70.0942 2023-11-22 14:01:59,675 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 14:01:59,675 - mmseg - INFO - Iter [103000/160000] lr: 3.393e-06, eta: 9:17:00, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2188, decode.loss_mask: 0.4703, decode.loss_dice: 0.7229, decode.d0.loss_cls: 1.3240, decode.d0.loss_mask: 0.5098, decode.d0.loss_dice: 0.8076, decode.d1.loss_cls: 0.3013, decode.d1.loss_mask: 0.4899, decode.d1.loss_dice: 0.7596, decode.d2.loss_cls: 0.2587, decode.d2.loss_mask: 0.4778, decode.d2.loss_dice: 0.7371, decode.d3.loss_cls: 0.2364, decode.d3.loss_mask: 0.4740, decode.d3.loss_dice: 0.7253, decode.d4.loss_cls: 0.2289, decode.d4.loss_mask: 0.4735, decode.d4.loss_dice: 0.7245, decode.d5.loss_cls: 0.2270, decode.d5.loss_mask: 0.4728, decode.d5.loss_dice: 0.7232, decode.d6.loss_cls: 0.2222, decode.d6.loss_mask: 0.4721, decode.d6.loss_dice: 0.7205, decode.d7.loss_cls: 0.2203, decode.d7.loss_mask: 0.4725, decode.d7.loss_dice: 0.7200, decode.d8.loss_cls: 0.2181, decode.d8.loss_mask: 0.4717, decode.d8.loss_dice: 0.7225, loss: 15.6034, grad_norm: 67.6344 2023-11-22 14:02:27,877 - mmseg - INFO - Iter [103050/160000] lr: 3.390e-06, eta: 9:16:30, time: 0.564, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2142, decode.loss_mask: 0.4795, decode.loss_dice: 0.6910, decode.d0.loss_cls: 1.3100, decode.d0.loss_mask: 0.5089, decode.d0.loss_dice: 0.7681, decode.d1.loss_cls: 0.2963, decode.d1.loss_mask: 0.4920, decode.d1.loss_dice: 0.7324, decode.d2.loss_cls: 0.2518, decode.d2.loss_mask: 0.4834, decode.d2.loss_dice: 0.7095, decode.d3.loss_cls: 0.2355, decode.d3.loss_mask: 0.4791, decode.d3.loss_dice: 0.6990, decode.d4.loss_cls: 0.2223, decode.d4.loss_mask: 0.4797, decode.d4.loss_dice: 0.7011, decode.d5.loss_cls: 0.2197, decode.d5.loss_mask: 0.4795, decode.d5.loss_dice: 0.7021, decode.d6.loss_cls: 0.2185, decode.d6.loss_mask: 0.4779, decode.d6.loss_dice: 0.6972, decode.d7.loss_cls: 0.2181, decode.d7.loss_mask: 0.4779, decode.d7.loss_dice: 0.6950, decode.d8.loss_cls: 0.2170, decode.d8.loss_mask: 0.4787, decode.d8.loss_dice: 0.6958, loss: 15.3313, grad_norm: 66.5468 2023-11-22 14:02:56,140 - mmseg - INFO - Iter [103100/160000] lr: 3.387e-06, eta: 9:16:00, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2082, decode.loss_mask: 0.4844, decode.loss_dice: 0.7172, decode.d0.loss_cls: 1.3162, decode.d0.loss_mask: 0.5145, decode.d0.loss_dice: 0.7884, decode.d1.loss_cls: 0.2901, decode.d1.loss_mask: 0.5021, decode.d1.loss_dice: 0.7498, decode.d2.loss_cls: 0.2499, decode.d2.loss_mask: 0.4954, decode.d2.loss_dice: 0.7342, decode.d3.loss_cls: 0.2294, decode.d3.loss_mask: 0.4892, decode.d3.loss_dice: 0.7217, decode.d4.loss_cls: 0.2185, decode.d4.loss_mask: 0.4869, decode.d4.loss_dice: 0.7254, decode.d5.loss_cls: 0.2188, decode.d5.loss_mask: 0.4873, decode.d5.loss_dice: 0.7211, decode.d6.loss_cls: 0.2144, decode.d6.loss_mask: 0.4861, decode.d6.loss_dice: 0.7161, decode.d7.loss_cls: 0.2113, decode.d7.loss_mask: 0.4847, decode.d7.loss_dice: 0.7166, decode.d8.loss_cls: 0.2090, decode.d8.loss_mask: 0.4850, decode.d8.loss_dice: 0.7148, loss: 15.5867, grad_norm: 70.7557 2023-11-22 14:03:24,352 - mmseg - INFO - Iter [103150/160000] lr: 3.384e-06, eta: 9:15:30, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2277, decode.loss_mask: 0.4725, decode.loss_dice: 0.6985, decode.d0.loss_cls: 1.3230, decode.d0.loss_mask: 0.5111, decode.d0.loss_dice: 0.7814, decode.d1.loss_cls: 0.3064, decode.d1.loss_mask: 0.4919, decode.d1.loss_dice: 0.7428, decode.d2.loss_cls: 0.2624, decode.d2.loss_mask: 0.4800, decode.d2.loss_dice: 0.7232, decode.d3.loss_cls: 0.2462, decode.d3.loss_mask: 0.4765, decode.d3.loss_dice: 0.7081, decode.d4.loss_cls: 0.2386, decode.d4.loss_mask: 0.4767, decode.d4.loss_dice: 0.7089, decode.d5.loss_cls: 0.2338, decode.d5.loss_mask: 0.4736, decode.d5.loss_dice: 0.7030, decode.d6.loss_cls: 0.2357, decode.d6.loss_mask: 0.4723, decode.d6.loss_dice: 0.7011, decode.d7.loss_cls: 0.2280, decode.d7.loss_mask: 0.4721, decode.d7.loss_dice: 0.7047, decode.d8.loss_cls: 0.2256, decode.d8.loss_mask: 0.4737, decode.d8.loss_dice: 0.7030, loss: 15.5026, grad_norm: 69.1308 2023-11-22 14:03:52,808 - mmseg - INFO - Iter [103200/160000] lr: 3.381e-06, eta: 9:15:01, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2116, decode.loss_mask: 0.4815, decode.loss_dice: 0.7381, decode.d0.loss_cls: 1.3156, decode.d0.loss_mask: 0.5147, decode.d0.loss_dice: 0.8130, decode.d1.loss_cls: 0.3096, decode.d1.loss_mask: 0.4928, decode.d1.loss_dice: 0.7726, decode.d2.loss_cls: 0.2523, decode.d2.loss_mask: 0.4884, decode.d2.loss_dice: 0.7575, decode.d3.loss_cls: 0.2334, decode.d3.loss_mask: 0.4836, decode.d3.loss_dice: 0.7446, decode.d4.loss_cls: 0.2291, decode.d4.loss_mask: 0.4824, decode.d4.loss_dice: 0.7389, decode.d5.loss_cls: 0.2221, decode.d5.loss_mask: 0.4830, decode.d5.loss_dice: 0.7422, decode.d6.loss_cls: 0.2220, decode.d6.loss_mask: 0.4804, decode.d6.loss_dice: 0.7338, decode.d7.loss_cls: 0.2086, decode.d7.loss_mask: 0.4805, decode.d7.loss_dice: 0.7374, decode.d8.loss_cls: 0.2124, decode.d8.loss_mask: 0.4801, decode.d8.loss_dice: 0.7376, loss: 15.7998, grad_norm: 71.4511 2023-11-22 14:04:21,362 - mmseg - INFO - Iter [103250/160000] lr: 3.378e-06, eta: 9:14:31, time: 0.571, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2108, decode.loss_mask: 0.4641, decode.loss_dice: 0.6945, decode.d0.loss_cls: 1.3128, decode.d0.loss_mask: 0.4988, decode.d0.loss_dice: 0.7764, decode.d1.loss_cls: 0.2883, decode.d1.loss_mask: 0.4836, decode.d1.loss_dice: 0.7302, decode.d2.loss_cls: 0.2426, decode.d2.loss_mask: 0.4730, decode.d2.loss_dice: 0.7100, decode.d3.loss_cls: 0.2255, decode.d3.loss_mask: 0.4673, decode.d3.loss_dice: 0.6983, decode.d4.loss_cls: 0.2197, decode.d4.loss_mask: 0.4659, decode.d4.loss_dice: 0.6975, decode.d5.loss_cls: 0.2151, decode.d5.loss_mask: 0.4659, decode.d5.loss_dice: 0.6991, decode.d6.loss_cls: 0.2126, decode.d6.loss_mask: 0.4636, decode.d6.loss_dice: 0.6926, decode.d7.loss_cls: 0.2118, decode.d7.loss_mask: 0.4625, decode.d7.loss_dice: 0.6956, decode.d8.loss_cls: 0.2099, decode.d8.loss_mask: 0.4632, decode.d8.loss_dice: 0.6932, loss: 15.1443, grad_norm: 72.0587 2023-11-22 14:04:49,568 - mmseg - INFO - Iter [103300/160000] lr: 3.375e-06, eta: 9:14:01, time: 0.564, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2189, decode.loss_mask: 0.4830, decode.loss_dice: 0.7093, decode.d0.loss_cls: 1.3111, decode.d0.loss_mask: 0.5175, decode.d0.loss_dice: 0.7857, decode.d1.loss_cls: 0.2901, decode.d1.loss_mask: 0.5002, decode.d1.loss_dice: 0.7545, decode.d2.loss_cls: 0.2497, decode.d2.loss_mask: 0.4896, decode.d2.loss_dice: 0.7314, decode.d3.loss_cls: 0.2324, decode.d3.loss_mask: 0.4868, decode.d3.loss_dice: 0.7188, decode.d4.loss_cls: 0.2272, decode.d4.loss_mask: 0.4857, decode.d4.loss_dice: 0.7158, decode.d5.loss_cls: 0.2153, decode.d5.loss_mask: 0.4878, decode.d5.loss_dice: 0.7154, decode.d6.loss_cls: 0.2173, decode.d6.loss_mask: 0.4862, decode.d6.loss_dice: 0.7155, decode.d7.loss_cls: 0.2176, decode.d7.loss_mask: 0.4848, decode.d7.loss_dice: 0.7143, decode.d8.loss_cls: 0.2170, decode.d8.loss_mask: 0.4846, decode.d8.loss_dice: 0.7099, loss: 15.5736, grad_norm: 69.5353 2023-11-22 14:05:17,913 - mmseg - INFO - Iter [103350/160000] lr: 3.372e-06, eta: 9:13:31, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2167, decode.loss_mask: 0.4702, decode.loss_dice: 0.7129, decode.d0.loss_cls: 1.3223, decode.d0.loss_mask: 0.5101, decode.d0.loss_dice: 0.7889, decode.d1.loss_cls: 0.2965, decode.d1.loss_mask: 0.4908, decode.d1.loss_dice: 0.7514, decode.d2.loss_cls: 0.2530, decode.d2.loss_mask: 0.4808, decode.d2.loss_dice: 0.7316, decode.d3.loss_cls: 0.2383, decode.d3.loss_mask: 0.4759, decode.d3.loss_dice: 0.7210, decode.d4.loss_cls: 0.2323, decode.d4.loss_mask: 0.4752, decode.d4.loss_dice: 0.7152, decode.d5.loss_cls: 0.2292, decode.d5.loss_mask: 0.4741, decode.d5.loss_dice: 0.7148, decode.d6.loss_cls: 0.2242, decode.d6.loss_mask: 0.4717, decode.d6.loss_dice: 0.7108, decode.d7.loss_cls: 0.2231, decode.d7.loss_mask: 0.4700, decode.d7.loss_dice: 0.7099, decode.d8.loss_cls: 0.2182, decode.d8.loss_mask: 0.4703, decode.d8.loss_dice: 0.7112, loss: 15.5109, grad_norm: 67.6494 2023-11-22 14:05:46,124 - mmseg - INFO - Iter [103400/160000] lr: 3.369e-06, eta: 9:13:01, time: 0.564, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2271, decode.loss_mask: 0.4638, decode.loss_dice: 0.6853, decode.d0.loss_cls: 1.3126, decode.d0.loss_mask: 0.5003, decode.d0.loss_dice: 0.7731, decode.d1.loss_cls: 0.2961, decode.d1.loss_mask: 0.4834, decode.d1.loss_dice: 0.7276, decode.d2.loss_cls: 0.2560, decode.d2.loss_mask: 0.4747, decode.d2.loss_dice: 0.7098, decode.d3.loss_cls: 0.2416, decode.d3.loss_mask: 0.4684, decode.d3.loss_dice: 0.6935, decode.d4.loss_cls: 0.2397, decode.d4.loss_mask: 0.4676, decode.d4.loss_dice: 0.6951, decode.d5.loss_cls: 0.2373, decode.d5.loss_mask: 0.4670, decode.d5.loss_dice: 0.6872, decode.d6.loss_cls: 0.2289, decode.d6.loss_mask: 0.4663, decode.d6.loss_dice: 0.6864, decode.d7.loss_cls: 0.2247, decode.d7.loss_mask: 0.4666, decode.d7.loss_dice: 0.6861, decode.d8.loss_cls: 0.2285, decode.d8.loss_mask: 0.4643, decode.d8.loss_dice: 0.6820, loss: 15.2411, grad_norm: 65.2546 2023-11-22 14:06:14,418 - mmseg - INFO - Iter [103450/160000] lr: 3.367e-06, eta: 9:12:31, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2237, decode.loss_mask: 0.4922, decode.loss_dice: 0.7179, decode.d0.loss_cls: 1.3052, decode.d0.loss_mask: 0.5334, decode.d0.loss_dice: 0.7959, decode.d1.loss_cls: 0.3070, decode.d1.loss_mask: 0.5134, decode.d1.loss_dice: 0.7636, decode.d2.loss_cls: 0.2641, decode.d2.loss_mask: 0.5010, decode.d2.loss_dice: 0.7392, decode.d3.loss_cls: 0.2433, decode.d3.loss_mask: 0.4969, decode.d3.loss_dice: 0.7301, decode.d4.loss_cls: 0.2329, decode.d4.loss_mask: 0.4954, decode.d4.loss_dice: 0.7272, decode.d5.loss_cls: 0.2347, decode.d5.loss_mask: 0.4960, decode.d5.loss_dice: 0.7214, decode.d6.loss_cls: 0.2265, decode.d6.loss_mask: 0.4940, decode.d6.loss_dice: 0.7228, decode.d7.loss_cls: 0.2198, decode.d7.loss_mask: 0.4947, decode.d7.loss_dice: 0.7192, decode.d8.loss_cls: 0.2202, decode.d8.loss_mask: 0.4946, decode.d8.loss_dice: 0.7232, loss: 15.8496, grad_norm: 70.9100 2023-11-22 14:06:42,854 - mmseg - INFO - Iter [103500/160000] lr: 3.364e-06, eta: 9:12:02, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2261, decode.loss_mask: 0.4799, decode.loss_dice: 0.7348, decode.d0.loss_cls: 1.3306, decode.d0.loss_mask: 0.5155, decode.d0.loss_dice: 0.8124, decode.d1.loss_cls: 0.3125, decode.d1.loss_mask: 0.4973, decode.d1.loss_dice: 0.7725, decode.d2.loss_cls: 0.2667, decode.d2.loss_mask: 0.4887, decode.d2.loss_dice: 0.7500, decode.d3.loss_cls: 0.2485, decode.d3.loss_mask: 0.4824, decode.d3.loss_dice: 0.7406, decode.d4.loss_cls: 0.2376, decode.d4.loss_mask: 0.4838, decode.d4.loss_dice: 0.7400, decode.d5.loss_cls: 0.2342, decode.d5.loss_mask: 0.4838, decode.d5.loss_dice: 0.7397, decode.d6.loss_cls: 0.2327, decode.d6.loss_mask: 0.4820, decode.d6.loss_dice: 0.7335, decode.d7.loss_cls: 0.2296, decode.d7.loss_mask: 0.4801, decode.d7.loss_dice: 0.7390, decode.d8.loss_cls: 0.2253, decode.d8.loss_mask: 0.4806, decode.d8.loss_dice: 0.7339, loss: 15.9142, grad_norm: 68.4193 2023-11-22 14:07:11,265 - mmseg - INFO - Iter [103550/160000] lr: 3.361e-06, eta: 9:11:32, time: 0.568, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2058, decode.loss_mask: 0.4878, decode.loss_dice: 0.7088, decode.d0.loss_cls: 1.2836, decode.d0.loss_mask: 0.5236, decode.d0.loss_dice: 0.7900, decode.d1.loss_cls: 0.2994, decode.d1.loss_mask: 0.5018, decode.d1.loss_dice: 0.7455, decode.d2.loss_cls: 0.2429, decode.d2.loss_mask: 0.4944, decode.d2.loss_dice: 0.7262, decode.d3.loss_cls: 0.2293, decode.d3.loss_mask: 0.4893, decode.d3.loss_dice: 0.7159, decode.d4.loss_cls: 0.2232, decode.d4.loss_mask: 0.4900, decode.d4.loss_dice: 0.7122, decode.d5.loss_cls: 0.2206, decode.d5.loss_mask: 0.4914, decode.d5.loss_dice: 0.7114, decode.d6.loss_cls: 0.2135, decode.d6.loss_mask: 0.4879, decode.d6.loss_dice: 0.7099, decode.d7.loss_cls: 0.2143, decode.d7.loss_mask: 0.4867, decode.d7.loss_dice: 0.7059, decode.d8.loss_cls: 0.2111, decode.d8.loss_mask: 0.4880, decode.d8.loss_dice: 0.7090, loss: 15.5193, grad_norm: 67.0465 2023-11-22 14:07:42,079 - mmseg - INFO - Iter [103600/160000] lr: 3.358e-06, eta: 9:11:03, time: 0.616, data_time: 0.062, memory: 38143, decode.loss_cls: 0.2153, decode.loss_mask: 0.4560, decode.loss_dice: 0.6999, decode.d0.loss_cls: 1.3295, decode.d0.loss_mask: 0.4821, decode.d0.loss_dice: 0.7859, decode.d1.loss_cls: 0.2942, decode.d1.loss_mask: 0.4726, decode.d1.loss_dice: 0.7351, decode.d2.loss_cls: 0.2456, decode.d2.loss_mask: 0.4628, decode.d2.loss_dice: 0.7226, decode.d3.loss_cls: 0.2388, decode.d3.loss_mask: 0.4579, decode.d3.loss_dice: 0.7062, decode.d4.loss_cls: 0.2227, decode.d4.loss_mask: 0.4588, decode.d4.loss_dice: 0.7109, decode.d5.loss_cls: 0.2218, decode.d5.loss_mask: 0.4576, decode.d5.loss_dice: 0.7059, decode.d6.loss_cls: 0.2208, decode.d6.loss_mask: 0.4542, decode.d6.loss_dice: 0.6962, decode.d7.loss_cls: 0.2180, decode.d7.loss_mask: 0.4552, decode.d7.loss_dice: 0.7003, decode.d8.loss_cls: 0.2161, decode.d8.loss_mask: 0.4546, decode.d8.loss_dice: 0.7017, loss: 15.1994, grad_norm: 64.2965 2023-11-22 14:08:10,408 - mmseg - INFO - Iter [103650/160000] lr: 3.355e-06, eta: 9:10:33, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2184, decode.loss_mask: 0.4543, decode.loss_dice: 0.6878, decode.d0.loss_cls: 1.3449, decode.d0.loss_mask: 0.4933, decode.d0.loss_dice: 0.7780, decode.d1.loss_cls: 0.3054, decode.d1.loss_mask: 0.4754, decode.d1.loss_dice: 0.7284, decode.d2.loss_cls: 0.2497, decode.d2.loss_mask: 0.4670, decode.d2.loss_dice: 0.7099, decode.d3.loss_cls: 0.2361, decode.d3.loss_mask: 0.4603, decode.d3.loss_dice: 0.6969, decode.d4.loss_cls: 0.2247, decode.d4.loss_mask: 0.4599, decode.d4.loss_dice: 0.6957, decode.d5.loss_cls: 0.2199, decode.d5.loss_mask: 0.4590, decode.d5.loss_dice: 0.6987, decode.d6.loss_cls: 0.2219, decode.d6.loss_mask: 0.4586, decode.d6.loss_dice: 0.6922, decode.d7.loss_cls: 0.2170, decode.d7.loss_mask: 0.4577, decode.d7.loss_dice: 0.6944, decode.d8.loss_cls: 0.2130, decode.d8.loss_mask: 0.4582, decode.d8.loss_dice: 0.6917, loss: 15.1685, grad_norm: 67.1842 2023-11-22 14:08:38,944 - mmseg - INFO - Iter [103700/160000] lr: 3.352e-06, eta: 9:10:04, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2078, decode.loss_mask: 0.4606, decode.loss_dice: 0.7116, decode.d0.loss_cls: 1.3129, decode.d0.loss_mask: 0.4939, decode.d0.loss_dice: 0.7823, decode.d1.loss_cls: 0.2819, decode.d1.loss_mask: 0.4810, decode.d1.loss_dice: 0.7430, decode.d2.loss_cls: 0.2438, decode.d2.loss_mask: 0.4691, decode.d2.loss_dice: 0.7299, decode.d3.loss_cls: 0.2176, decode.d3.loss_mask: 0.4643, decode.d3.loss_dice: 0.7180, decode.d4.loss_cls: 0.2168, decode.d4.loss_mask: 0.4635, decode.d4.loss_dice: 0.7165, decode.d5.loss_cls: 0.2194, decode.d5.loss_mask: 0.4606, decode.d5.loss_dice: 0.7116, decode.d6.loss_cls: 0.2136, decode.d6.loss_mask: 0.4620, decode.d6.loss_dice: 0.7093, decode.d7.loss_cls: 0.2076, decode.d7.loss_mask: 0.4607, decode.d7.loss_dice: 0.7137, decode.d8.loss_cls: 0.2073, decode.d8.loss_mask: 0.4603, decode.d8.loss_dice: 0.7100, loss: 15.2505, grad_norm: 70.6818 2023-11-22 14:09:07,088 - mmseg - INFO - Iter [103750/160000] lr: 3.349e-06, eta: 9:09:34, time: 0.563, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2224, decode.loss_mask: 0.4739, decode.loss_dice: 0.7310, decode.d0.loss_cls: 1.2982, decode.d0.loss_mask: 0.5076, decode.d0.loss_dice: 0.8123, decode.d1.loss_cls: 0.3103, decode.d1.loss_mask: 0.4908, decode.d1.loss_dice: 0.7621, decode.d2.loss_cls: 0.2629, decode.d2.loss_mask: 0.4824, decode.d2.loss_dice: 0.7450, decode.d3.loss_cls: 0.2475, decode.d3.loss_mask: 0.4773, decode.d3.loss_dice: 0.7262, decode.d4.loss_cls: 0.2376, decode.d4.loss_mask: 0.4765, decode.d4.loss_dice: 0.7334, decode.d5.loss_cls: 0.2345, decode.d5.loss_mask: 0.4740, decode.d5.loss_dice: 0.7312, decode.d6.loss_cls: 0.2281, decode.d6.loss_mask: 0.4762, decode.d6.loss_dice: 0.7303, decode.d7.loss_cls: 0.2278, decode.d7.loss_mask: 0.4735, decode.d7.loss_dice: 0.7267, decode.d8.loss_cls: 0.2251, decode.d8.loss_mask: 0.4750, decode.d8.loss_dice: 0.7298, loss: 15.7293, grad_norm: 71.0586 2023-11-22 14:09:35,742 - mmseg - INFO - Iter [103800/160000] lr: 3.346e-06, eta: 9:09:04, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2278, decode.loss_mask: 0.4743, decode.loss_dice: 0.6929, decode.d0.loss_cls: 1.3180, decode.d0.loss_mask: 0.5100, decode.d0.loss_dice: 0.7815, decode.d1.loss_cls: 0.2949, decode.d1.loss_mask: 0.4926, decode.d1.loss_dice: 0.7339, decode.d2.loss_cls: 0.2531, decode.d2.loss_mask: 0.4814, decode.d2.loss_dice: 0.7148, decode.d3.loss_cls: 0.2441, decode.d3.loss_mask: 0.4783, decode.d3.loss_dice: 0.7035, decode.d4.loss_cls: 0.2343, decode.d4.loss_mask: 0.4762, decode.d4.loss_dice: 0.6985, decode.d5.loss_cls: 0.2293, decode.d5.loss_mask: 0.4745, decode.d5.loss_dice: 0.6990, decode.d6.loss_cls: 0.2306, decode.d6.loss_mask: 0.4755, decode.d6.loss_dice: 0.6961, decode.d7.loss_cls: 0.2263, decode.d7.loss_mask: 0.4746, decode.d7.loss_dice: 0.6961, decode.d8.loss_cls: 0.2257, decode.d8.loss_mask: 0.4756, decode.d8.loss_dice: 0.6955, loss: 15.4091, grad_norm: 67.8012 2023-11-22 14:10:04,332 - mmseg - INFO - Iter [103850/160000] lr: 3.343e-06, eta: 9:08:34, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2038, decode.loss_mask: 0.4884, decode.loss_dice: 0.6887, decode.d0.loss_cls: 1.2768, decode.d0.loss_mask: 0.5296, decode.d0.loss_dice: 0.7727, decode.d1.loss_cls: 0.2874, decode.d1.loss_mask: 0.5070, decode.d1.loss_dice: 0.7293, decode.d2.loss_cls: 0.2400, decode.d2.loss_mask: 0.4969, decode.d2.loss_dice: 0.7106, decode.d3.loss_cls: 0.2183, decode.d3.loss_mask: 0.4931, decode.d3.loss_dice: 0.6995, decode.d4.loss_cls: 0.2106, decode.d4.loss_mask: 0.4914, decode.d4.loss_dice: 0.6969, decode.d5.loss_cls: 0.2063, decode.d5.loss_mask: 0.4904, decode.d5.loss_dice: 0.6975, decode.d6.loss_cls: 0.2063, decode.d6.loss_mask: 0.4899, decode.d6.loss_dice: 0.6912, decode.d7.loss_cls: 0.2040, decode.d7.loss_mask: 0.4895, decode.d7.loss_dice: 0.6932, decode.d8.loss_cls: 0.2038, decode.d8.loss_mask: 0.4880, decode.d8.loss_dice: 0.6924, loss: 15.2935, grad_norm: 71.7247 2023-11-22 14:10:32,521 - mmseg - INFO - Iter [103900/160000] lr: 3.340e-06, eta: 9:08:04, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2324, decode.loss_mask: 0.4970, decode.loss_dice: 0.7206, decode.d0.loss_cls: 1.3474, decode.d0.loss_mask: 0.5336, decode.d0.loss_dice: 0.8085, decode.d1.loss_cls: 0.3326, decode.d1.loss_mask: 0.5168, decode.d1.loss_dice: 0.7549, decode.d2.loss_cls: 0.2753, decode.d2.loss_mask: 0.5053, decode.d2.loss_dice: 0.7370, decode.d3.loss_cls: 0.2568, decode.d3.loss_mask: 0.5024, decode.d3.loss_dice: 0.7226, decode.d4.loss_cls: 0.2504, decode.d4.loss_mask: 0.4988, decode.d4.loss_dice: 0.7257, decode.d5.loss_cls: 0.2401, decode.d5.loss_mask: 0.4993, decode.d5.loss_dice: 0.7219, decode.d6.loss_cls: 0.2393, decode.d6.loss_mask: 0.4967, decode.d6.loss_dice: 0.7188, decode.d7.loss_cls: 0.2331, decode.d7.loss_mask: 0.4964, decode.d7.loss_dice: 0.7171, decode.d8.loss_cls: 0.2334, decode.d8.loss_mask: 0.4952, decode.d8.loss_dice: 0.7195, loss: 16.0290, grad_norm: 74.7999 2023-11-22 14:11:00,744 - mmseg - INFO - Iter [103950/160000] lr: 3.337e-06, eta: 9:07:35, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2106, decode.loss_mask: 0.4923, decode.loss_dice: 0.7060, decode.d0.loss_cls: 1.3123, decode.d0.loss_mask: 0.5294, decode.d0.loss_dice: 0.7936, decode.d1.loss_cls: 0.2941, decode.d1.loss_mask: 0.5121, decode.d1.loss_dice: 0.7482, decode.d2.loss_cls: 0.2428, decode.d2.loss_mask: 0.5016, decode.d2.loss_dice: 0.7326, decode.d3.loss_cls: 0.2209, decode.d3.loss_mask: 0.4987, decode.d3.loss_dice: 0.7210, decode.d4.loss_cls: 0.2172, decode.d4.loss_mask: 0.4961, decode.d4.loss_dice: 0.7118, decode.d5.loss_cls: 0.2179, decode.d5.loss_mask: 0.4949, decode.d5.loss_dice: 0.7107, decode.d6.loss_cls: 0.2156, decode.d6.loss_mask: 0.4951, decode.d6.loss_dice: 0.7099, decode.d7.loss_cls: 0.2093, decode.d7.loss_mask: 0.4933, decode.d7.loss_dice: 0.7071, decode.d8.loss_cls: 0.2097, decode.d8.loss_mask: 0.4930, decode.d8.loss_dice: 0.7124, loss: 15.6104, grad_norm: 82.7484 2023-11-22 14:11:29,041 - mmseg - INFO - Saving checkpoint at 104000 iterations 2023-11-22 14:11:37,165 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 14:11:37,166 - mmseg - INFO - Iter [104000/160000] lr: 3.334e-06, eta: 9:07:09, time: 0.728, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2154, decode.loss_mask: 0.4670, decode.loss_dice: 0.6909, decode.d0.loss_cls: 1.3014, decode.d0.loss_mask: 0.4985, decode.d0.loss_dice: 0.7593, decode.d1.loss_cls: 0.2805, decode.d1.loss_mask: 0.4853, decode.d1.loss_dice: 0.7284, decode.d2.loss_cls: 0.2397, decode.d2.loss_mask: 0.4728, decode.d2.loss_dice: 0.7096, decode.d3.loss_cls: 0.2270, decode.d3.loss_mask: 0.4698, decode.d3.loss_dice: 0.6912, decode.d4.loss_cls: 0.2204, decode.d4.loss_mask: 0.4685, decode.d4.loss_dice: 0.6911, decode.d5.loss_cls: 0.2174, decode.d5.loss_mask: 0.4687, decode.d5.loss_dice: 0.6938, decode.d6.loss_cls: 0.2191, decode.d6.loss_mask: 0.4682, decode.d6.loss_dice: 0.6865, decode.d7.loss_cls: 0.2168, decode.d7.loss_mask: 0.4663, decode.d7.loss_dice: 0.6864, decode.d8.loss_cls: 0.2153, decode.d8.loss_mask: 0.4676, decode.d8.loss_dice: 0.6893, loss: 15.1123, grad_norm: 69.1164 2023-11-22 14:11:56,684 - mmseg - INFO - per class results: 2023-11-22 14:11:56,689 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.14 | 88.21 | | building | 83.62 | 91.23 | | sky | 95.18 | 97.7 | | floor | 83.91 | 90.6 | | tree | 76.37 | 88.56 | | ceiling | 85.39 | 91.82 | | road | 86.42 | 90.4 | | bed | 91.55 | 95.32 | | windowpane | 65.1 | 81.63 | | grass | 71.18 | 81.99 | | cabinet | 63.11 | 74.91 | | sidewalk | 69.78 | 80.8 | | person | 86.19 | 94.12 | | earth | 42.22 | 61.62 | | door | 56.39 | 75.54 | | table | 70.33 | 81.78 | | mountain | 59.24 | 73.54 | | plant | 52.99 | 63.84 | | curtain | 75.52 | 88.14 | | chair | 66.69 | 79.55 | | car | 87.64 | 93.85 | | water | 57.71 | 71.55 | | painting | 75.79 | 90.05 | | sofa | 72.96 | 89.71 | | shelf | 44.64 | 59.77 | | house | 44.19 | 73.07 | | sea | 60.7 | 83.33 | | mirror | 73.94 | 82.86 | | rug | 65.75 | 83.17 | | field | 35.78 | 57.92 | | armchair | 50.26 | 65.32 | | seat | 65.74 | 84.92 | | fence | 52.62 | 63.19 | | desk | 53.36 | 74.56 | | rock | 53.31 | 73.96 | | wardrobe | 51.27 | 74.15 | | lamp | 72.52 | 81.4 | | bathtub | 74.99 | 87.53 | | railing | 36.07 | 56.13 | | cushion | 65.18 | 74.98 | | base | 39.82 | 70.15 | | box | 33.02 | 43.04 | | column | 53.93 | 69.75 | | signboard | 42.28 | 58.81 | | chest of drawers | 38.84 | 62.85 | | counter | 45.68 | 58.1 | | sand | 48.28 | 72.19 | | sink | 80.2 | 87.93 | | skyscraper | 55.42 | 65.59 | | fireplace | 72.87 | 92.77 | | refrigerator | 82.7 | 90.36 | | grandstand | 45.8 | 77.77 | | path | 25.04 | 45.31 | | stairs | 43.61 | 51.33 | | runway | 72.36 | 92.95 | | case | 52.32 | 75.62 | | pool table | 95.31 | 97.6 | | pillow | 64.55 | 78.55 | | screen door | 79.44 | 85.42 | | stairway | 34.69 | 49.35 | | river | 12.89 | 26.26 | | bridge | 79.82 | 92.54 | | bookcase | 25.06 | 39.71 | | blind | 44.1 | 51.23 | | coffee table | 72.02 | 85.66 | | toilet | 91.4 | 93.98 | | flower | 47.18 | 69.99 | | book | 53.0 | 78.77 | | hill | 10.51 | 15.26 | | bench | 62.6 | 71.83 | | countertop | 66.75 | 78.3 | | stove | 87.59 | 91.43 | | palm | 54.51 | 81.44 | | kitchen island | 57.33 | 89.28 | | computer | 73.96 | 82.88 | | swivel chair | 45.06 | 62.01 | | boat | 34.76 | 56.54 | | bar | 71.19 | 80.65 | | arcade machine | 66.96 | 71.51 | | hovel | 52.24 | 76.23 | | bus | 94.42 | 97.0 | | towel | 78.51 | 90.06 | | light | 65.93 | 78.19 | | truck | 41.22 | 51.76 | | tower | 34.7 | 58.51 | | chandelier | 70.9 | 87.61 | | awning | 34.81 | 47.52 | | streetlight | 48.08 | 61.8 | | booth | 48.35 | 69.25 | | television receiver | 80.35 | 90.29 | | airplane | 55.44 | 71.79 | | dirt track | 5.8 | 36.05 | | apparel | 37.54 | 49.49 | | pole | 41.37 | 64.63 | | land | 5.11 | 7.69 | | bannister | 20.2 | 32.58 | | escalator | 21.79 | 22.47 | | ottoman | 51.51 | 76.14 | | bottle | 38.06 | 67.76 | | buffet | 49.3 | 67.87 | | poster | 35.52 | 42.12 | | stage | 22.48 | 47.62 | | van | 46.62 | 68.91 | | ship | 19.91 | 29.38 | | fountain | 21.58 | 21.93 | | conveyer belt | 69.84 | 95.3 | | canopy | 13.73 | 26.77 | | washer | 70.66 | 73.4 | | plaything | 37.94 | 55.52 | | swimming pool | 62.79 | 72.58 | | stool | 54.66 | 76.58 | | barrel | 84.68 | 98.04 | | basket | 44.03 | 56.47 | | waterfall | 49.5 | 55.85 | | tent | 87.9 | 98.12 | | bag | 27.99 | 42.43 | | minibike | 71.87 | 90.5 | | cradle | 90.69 | 97.55 | | oven | 29.12 | 82.0 | | ball | 55.92 | 67.67 | | food | 57.89 | 67.6 | | step | 27.06 | 43.77 | | tank | 63.87 | 65.94 | | trade name | 31.46 | 37.02 | | microwave | 44.41 | 46.98 | | pot | 50.69 | 59.95 | | animal | 61.89 | 63.42 | | bicycle | 57.18 | 79.82 | | lake | 58.34 | 63.66 | | dishwasher | 81.1 | 89.23 | | screen | 55.94 | 89.24 | | blanket | 38.71 | 51.23 | | sculpture | 59.83 | 83.64 | | hood | 72.68 | 77.71 | | sconce | 61.08 | 75.53 | | vase | 55.07 | 74.36 | | traffic light | 44.67 | 71.66 | | tray | 19.26 | 25.72 | | ashcan | 54.19 | 72.65 | | fan | 70.42 | 84.5 | | pier | 19.04 | 20.11 | | crt screen | 2.72 | 9.84 | | plate | 63.35 | 81.51 | | monitor | 1.65 | 1.75 | | bulletin board | 52.9 | 80.97 | | shower | 14.93 | 25.72 | | radiator | 70.43 | 86.99 | | glass | 24.72 | 27.67 | | clock | 55.16 | 68.67 | | flag | 74.5 | 86.08 | +---------------------+-------+-------+ 2023-11-22 14:11:56,690 - mmseg - INFO - Summary: 2023-11-22 14:11:56,690 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.02 | 54.92 | 69.03 | +-------+-------+-------+ 2023-11-22 14:11:56,691 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 14:11:56,691 - mmseg - INFO - Iter(val) [250] aAcc: 0.8502, mIoU: 0.5492, mAcc: 0.6903, IoU.wall: 0.8114, IoU.building: 0.8362, IoU.sky: 0.9518, IoU.floor: 0.8391, IoU.tree: 0.7637, IoU.ceiling: 0.8539, IoU.road: 0.8642, IoU.bed : 0.9155, IoU.windowpane: 0.6510, IoU.grass: 0.7118, IoU.cabinet: 0.6311, IoU.sidewalk: 0.6978, IoU.person: 0.8619, IoU.earth: 0.4222, IoU.door: 0.5639, IoU.table: 0.7033, IoU.mountain: 0.5924, IoU.plant: 0.5299, IoU.curtain: 0.7552, IoU.chair: 0.6669, IoU.car: 0.8764, IoU.water: 0.5771, IoU.painting: 0.7579, IoU.sofa: 0.7296, IoU.shelf: 0.4464, IoU.house: 0.4419, IoU.sea: 0.6070, IoU.mirror: 0.7394, IoU.rug: 0.6575, IoU.field: 0.3578, IoU.armchair: 0.5026, IoU.seat: 0.6574, IoU.fence: 0.5262, IoU.desk: 0.5336, IoU.rock: 0.5331, IoU.wardrobe: 0.5127, IoU.lamp: 0.7252, IoU.bathtub: 0.7499, IoU.railing: 0.3607, IoU.cushion: 0.6518, IoU.base: 0.3982, IoU.box: 0.3302, IoU.column: 0.5393, IoU.signboard: 0.4228, IoU.chest of drawers: 0.3884, IoU.counter: 0.4568, IoU.sand: 0.4828, IoU.sink: 0.8020, IoU.skyscraper: 0.5542, IoU.fireplace: 0.7287, IoU.refrigerator: 0.8270, IoU.grandstand: 0.4580, IoU.path: 0.2504, IoU.stairs: 0.4361, IoU.runway: 0.7236, IoU.case: 0.5232, IoU.pool table: 0.9531, IoU.pillow: 0.6455, IoU.screen door: 0.7944, IoU.stairway: 0.3469, IoU.river: 0.1289, IoU.bridge: 0.7982, IoU.bookcase: 0.2506, IoU.blind: 0.4410, IoU.coffee table: 0.7202, IoU.toilet: 0.9140, IoU.flower: 0.4718, IoU.book: 0.5300, IoU.hill: 0.1051, IoU.bench: 0.6260, IoU.countertop: 0.6675, IoU.stove: 0.8759, IoU.palm: 0.5451, IoU.kitchen island: 0.5733, IoU.computer: 0.7396, IoU.swivel chair: 0.4506, IoU.boat: 0.3476, IoU.bar: 0.7119, IoU.arcade machine: 0.6696, IoU.hovel: 0.5224, IoU.bus: 0.9442, IoU.towel: 0.7851, IoU.light: 0.6593, IoU.truck: 0.4122, IoU.tower: 0.3470, IoU.chandelier: 0.7090, IoU.awning: 0.3481, IoU.streetlight: 0.4808, IoU.booth: 0.4835, IoU.television receiver: 0.8035, IoU.airplane: 0.5544, IoU.dirt track: 0.0580, IoU.apparel: 0.3754, IoU.pole: 0.4137, IoU.land: 0.0511, IoU.bannister: 0.2020, IoU.escalator: 0.2179, IoU.ottoman: 0.5151, IoU.bottle: 0.3806, IoU.buffet: 0.4930, IoU.poster: 0.3552, IoU.stage: 0.2248, IoU.van: 0.4662, IoU.ship: 0.1991, IoU.fountain: 0.2158, IoU.conveyer belt: 0.6984, IoU.canopy: 0.1373, IoU.washer: 0.7066, IoU.plaything: 0.3794, IoU.swimming pool: 0.6279, IoU.stool: 0.5466, IoU.barrel: 0.8468, IoU.basket: 0.4403, IoU.waterfall: 0.4950, IoU.tent: 0.8790, IoU.bag: 0.2799, IoU.minibike: 0.7187, IoU.cradle: 0.9069, IoU.oven: 0.2912, IoU.ball: 0.5592, IoU.food: 0.5789, IoU.step: 0.2706, IoU.tank: 0.6387, IoU.trade name: 0.3146, IoU.microwave: 0.4441, IoU.pot: 0.5069, IoU.animal: 0.6189, IoU.bicycle: 0.5718, IoU.lake: 0.5834, IoU.dishwasher: 0.8110, IoU.screen: 0.5594, IoU.blanket: 0.3871, IoU.sculpture: 0.5983, IoU.hood: 0.7268, IoU.sconce: 0.6108, IoU.vase: 0.5507, IoU.traffic light: 0.4467, IoU.tray: 0.1926, IoU.ashcan: 0.5419, IoU.fan: 0.7042, IoU.pier: 0.1904, IoU.crt screen: 0.0272, IoU.plate: 0.6335, IoU.monitor: 0.0165, IoU.bulletin board: 0.5290, IoU.shower: 0.1493, IoU.radiator: 0.7043, IoU.glass: 0.2472, IoU.clock: 0.5516, IoU.flag: 0.7450, Acc.wall: 0.8821, Acc.building: 0.9123, Acc.sky: 0.9770, Acc.floor: 0.9060, Acc.tree: 0.8856, Acc.ceiling: 0.9182, Acc.road: 0.9040, Acc.bed : 0.9532, Acc.windowpane: 0.8163, Acc.grass: 0.8199, Acc.cabinet: 0.7491, Acc.sidewalk: 0.8080, Acc.person: 0.9412, Acc.earth: 0.6162, Acc.door: 0.7554, Acc.table: 0.8178, Acc.mountain: 0.7354, Acc.plant: 0.6384, Acc.curtain: 0.8814, Acc.chair: 0.7955, Acc.car: 0.9385, Acc.water: 0.7155, Acc.painting: 0.9005, Acc.sofa: 0.8971, Acc.shelf: 0.5977, Acc.house: 0.7307, Acc.sea: 0.8333, Acc.mirror: 0.8286, Acc.rug: 0.8317, Acc.field: 0.5792, Acc.armchair: 0.6532, Acc.seat: 0.8492, Acc.fence: 0.6319, Acc.desk: 0.7456, Acc.rock: 0.7396, Acc.wardrobe: 0.7415, Acc.lamp: 0.8140, Acc.bathtub: 0.8753, Acc.railing: 0.5613, Acc.cushion: 0.7498, Acc.base: 0.7015, Acc.box: 0.4304, Acc.column: 0.6975, Acc.signboard: 0.5881, Acc.chest of drawers: 0.6285, Acc.counter: 0.5810, Acc.sand: 0.7219, Acc.sink: 0.8793, Acc.skyscraper: 0.6559, Acc.fireplace: 0.9277, Acc.refrigerator: 0.9036, Acc.grandstand: 0.7777, Acc.path: 0.4531, Acc.stairs: 0.5133, Acc.runway: 0.9295, Acc.case: 0.7562, Acc.pool table: 0.9760, Acc.pillow: 0.7855, Acc.screen door: 0.8542, Acc.stairway: 0.4935, Acc.river: 0.2626, Acc.bridge: 0.9254, Acc.bookcase: 0.3971, Acc.blind: 0.5123, Acc.coffee table: 0.8566, Acc.toilet: 0.9398, Acc.flower: 0.6999, Acc.book: 0.7877, Acc.hill: 0.1526, Acc.bench: 0.7183, Acc.countertop: 0.7830, Acc.stove: 0.9143, Acc.palm: 0.8144, Acc.kitchen island: 0.8928, Acc.computer: 0.8288, Acc.swivel chair: 0.6201, Acc.boat: 0.5654, Acc.bar: 0.8065, Acc.arcade machine: 0.7151, Acc.hovel: 0.7623, Acc.bus: 0.9700, Acc.towel: 0.9006, Acc.light: 0.7819, Acc.truck: 0.5176, Acc.tower: 0.5851, Acc.chandelier: 0.8761, Acc.awning: 0.4752, Acc.streetlight: 0.6180, Acc.booth: 0.6925, Acc.television receiver: 0.9029, Acc.airplane: 0.7179, Acc.dirt track: 0.3605, Acc.apparel: 0.4949, Acc.pole: 0.6463, Acc.land: 0.0769, Acc.bannister: 0.3258, Acc.escalator: 0.2247, Acc.ottoman: 0.7614, Acc.bottle: 0.6776, Acc.buffet: 0.6787, Acc.poster: 0.4212, Acc.stage: 0.4762, Acc.van: 0.6891, Acc.ship: 0.2938, Acc.fountain: 0.2193, Acc.conveyer belt: 0.9530, Acc.canopy: 0.2677, Acc.washer: 0.7340, Acc.plaything: 0.5552, Acc.swimming pool: 0.7258, Acc.stool: 0.7658, Acc.barrel: 0.9804, Acc.basket: 0.5647, Acc.waterfall: 0.5585, Acc.tent: 0.9812, Acc.bag: 0.4243, Acc.minibike: 0.9050, Acc.cradle: 0.9755, Acc.oven: 0.8200, Acc.ball: 0.6767, Acc.food: 0.6760, Acc.step: 0.4377, Acc.tank: 0.6594, Acc.trade name: 0.3702, Acc.microwave: 0.4698, Acc.pot: 0.5995, Acc.animal: 0.6342, Acc.bicycle: 0.7982, Acc.lake: 0.6366, Acc.dishwasher: 0.8923, Acc.screen: 0.8924, Acc.blanket: 0.5123, Acc.sculpture: 0.8364, Acc.hood: 0.7771, Acc.sconce: 0.7553, Acc.vase: 0.7436, Acc.traffic light: 0.7166, Acc.tray: 0.2572, Acc.ashcan: 0.7265, Acc.fan: 0.8450, Acc.pier: 0.2011, Acc.crt screen: 0.0984, Acc.plate: 0.8151, Acc.monitor: 0.0175, Acc.bulletin board: 0.8097, Acc.shower: 0.2572, Acc.radiator: 0.8699, Acc.glass: 0.2767, Acc.clock: 0.6867, Acc.flag: 0.8608 2023-11-22 14:12:25,025 - mmseg - INFO - Iter [104050/160000] lr: 3.331e-06, eta: 9:06:50, time: 0.957, data_time: 0.404, memory: 38143, decode.loss_cls: 0.1870, decode.loss_mask: 0.4621, decode.loss_dice: 0.6973, decode.d0.loss_cls: 1.2937, decode.d0.loss_mask: 0.4929, decode.d0.loss_dice: 0.7643, decode.d1.loss_cls: 0.2782, decode.d1.loss_mask: 0.4775, decode.d1.loss_dice: 0.7306, decode.d2.loss_cls: 0.2254, decode.d2.loss_mask: 0.4682, decode.d2.loss_dice: 0.7072, decode.d3.loss_cls: 0.2080, decode.d3.loss_mask: 0.4649, decode.d3.loss_dice: 0.6974, decode.d4.loss_cls: 0.2008, decode.d4.loss_mask: 0.4638, decode.d4.loss_dice: 0.6992, decode.d5.loss_cls: 0.1958, decode.d5.loss_mask: 0.4638, decode.d5.loss_dice: 0.7015, decode.d6.loss_cls: 0.1958, decode.d6.loss_mask: 0.4615, decode.d6.loss_dice: 0.6957, decode.d7.loss_cls: 0.1891, decode.d7.loss_mask: 0.4611, decode.d7.loss_dice: 0.6989, decode.d8.loss_cls: 0.1883, decode.d8.loss_mask: 0.4640, decode.d8.loss_dice: 0.6976, loss: 14.9313, grad_norm: 63.9530 2023-11-22 14:12:53,435 - mmseg - INFO - Iter [104100/160000] lr: 3.328e-06, eta: 9:06:20, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2237, decode.loss_mask: 0.4652, decode.loss_dice: 0.7014, decode.d0.loss_cls: 1.3376, decode.d0.loss_mask: 0.5019, decode.d0.loss_dice: 0.7832, decode.d1.loss_cls: 0.3013, decode.d1.loss_mask: 0.4810, decode.d1.loss_dice: 0.7370, decode.d2.loss_cls: 0.2537, decode.d2.loss_mask: 0.4742, decode.d2.loss_dice: 0.7172, decode.d3.loss_cls: 0.2429, decode.d3.loss_mask: 0.4704, decode.d3.loss_dice: 0.7065, decode.d4.loss_cls: 0.2339, decode.d4.loss_mask: 0.4698, decode.d4.loss_dice: 0.7091, decode.d5.loss_cls: 0.2373, decode.d5.loss_mask: 0.4681, decode.d5.loss_dice: 0.7045, decode.d6.loss_cls: 0.2267, decode.d6.loss_mask: 0.4666, decode.d6.loss_dice: 0.7022, decode.d7.loss_cls: 0.2281, decode.d7.loss_mask: 0.4667, decode.d7.loss_dice: 0.7047, decode.d8.loss_cls: 0.2243, decode.d8.loss_mask: 0.4665, decode.d8.loss_dice: 0.7022, loss: 15.4075, grad_norm: 68.8203 2023-11-22 14:13:21,830 - mmseg - INFO - Iter [104150/160000] lr: 3.325e-06, eta: 9:05:50, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2306, decode.loss_mask: 0.4838, decode.loss_dice: 0.7378, decode.d0.loss_cls: 1.3276, decode.d0.loss_mask: 0.5129, decode.d0.loss_dice: 0.8224, decode.d1.loss_cls: 0.3056, decode.d1.loss_mask: 0.5029, decode.d1.loss_dice: 0.7762, decode.d2.loss_cls: 0.2577, decode.d2.loss_mask: 0.4920, decode.d2.loss_dice: 0.7547, decode.d3.loss_cls: 0.2461, decode.d3.loss_mask: 0.4879, decode.d3.loss_dice: 0.7420, decode.d4.loss_cls: 0.2420, decode.d4.loss_mask: 0.4865, decode.d4.loss_dice: 0.7443, decode.d5.loss_cls: 0.2357, decode.d5.loss_mask: 0.4861, decode.d5.loss_dice: 0.7415, decode.d6.loss_cls: 0.2359, decode.d6.loss_mask: 0.4829, decode.d6.loss_dice: 0.7348, decode.d7.loss_cls: 0.2331, decode.d7.loss_mask: 0.4838, decode.d7.loss_dice: 0.7354, decode.d8.loss_cls: 0.2301, decode.d8.loss_mask: 0.4834, decode.d8.loss_dice: 0.7417, loss: 15.9774, grad_norm: 74.0043 2023-11-22 14:13:50,068 - mmseg - INFO - Iter [104200/160000] lr: 3.322e-06, eta: 9:05:20, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2049, decode.loss_mask: 0.4658, decode.loss_dice: 0.6941, decode.d0.loss_cls: 1.3118, decode.d0.loss_mask: 0.4993, decode.d0.loss_dice: 0.7782, decode.d1.loss_cls: 0.2840, decode.d1.loss_mask: 0.4791, decode.d1.loss_dice: 0.7358, decode.d2.loss_cls: 0.2454, decode.d2.loss_mask: 0.4727, decode.d2.loss_dice: 0.7141, decode.d3.loss_cls: 0.2231, decode.d3.loss_mask: 0.4698, decode.d3.loss_dice: 0.6937, decode.d4.loss_cls: 0.2191, decode.d4.loss_mask: 0.4670, decode.d4.loss_dice: 0.6959, decode.d5.loss_cls: 0.2170, decode.d5.loss_mask: 0.4661, decode.d5.loss_dice: 0.6956, decode.d6.loss_cls: 0.2143, decode.d6.loss_mask: 0.4663, decode.d6.loss_dice: 0.6910, decode.d7.loss_cls: 0.2086, decode.d7.loss_mask: 0.4657, decode.d7.loss_dice: 0.6949, decode.d8.loss_cls: 0.2043, decode.d8.loss_mask: 0.4664, decode.d8.loss_dice: 0.6976, loss: 15.1415, grad_norm: 68.3247 2023-11-22 14:14:18,376 - mmseg - INFO - Iter [104250/160000] lr: 3.319e-06, eta: 9:04:50, time: 0.566, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2192, decode.loss_mask: 0.4559, decode.loss_dice: 0.7133, decode.d0.loss_cls: 1.3199, decode.d0.loss_mask: 0.4911, decode.d0.loss_dice: 0.8056, decode.d1.loss_cls: 0.3091, decode.d1.loss_mask: 0.4730, decode.d1.loss_dice: 0.7541, decode.d2.loss_cls: 0.2626, decode.d2.loss_mask: 0.4629, decode.d2.loss_dice: 0.7275, decode.d3.loss_cls: 0.2473, decode.d3.loss_mask: 0.4594, decode.d3.loss_dice: 0.7201, decode.d4.loss_cls: 0.2365, decode.d4.loss_mask: 0.4590, decode.d4.loss_dice: 0.7206, decode.d5.loss_cls: 0.2316, decode.d5.loss_mask: 0.4559, decode.d5.loss_dice: 0.7154, decode.d6.loss_cls: 0.2300, decode.d6.loss_mask: 0.4559, decode.d6.loss_dice: 0.7142, decode.d7.loss_cls: 0.2266, decode.d7.loss_mask: 0.4544, decode.d7.loss_dice: 0.7147, decode.d8.loss_cls: 0.2292, decode.d8.loss_mask: 0.4547, decode.d8.loss_dice: 0.7145, loss: 15.4339, grad_norm: 67.0813 2023-11-22 14:14:46,529 - mmseg - INFO - Iter [104300/160000] lr: 3.316e-06, eta: 9:04:20, time: 0.563, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2248, decode.loss_mask: 0.4870, decode.loss_dice: 0.7185, decode.d0.loss_cls: 1.2909, decode.d0.loss_mask: 0.5262, decode.d0.loss_dice: 0.8030, decode.d1.loss_cls: 0.3048, decode.d1.loss_mask: 0.5053, decode.d1.loss_dice: 0.7486, decode.d2.loss_cls: 0.2627, decode.d2.loss_mask: 0.4964, decode.d2.loss_dice: 0.7297, decode.d3.loss_cls: 0.2443, decode.d3.loss_mask: 0.4904, decode.d3.loss_dice: 0.7162, decode.d4.loss_cls: 0.2365, decode.d4.loss_mask: 0.4905, decode.d4.loss_dice: 0.7218, decode.d5.loss_cls: 0.2330, decode.d5.loss_mask: 0.4903, decode.d5.loss_dice: 0.7164, decode.d6.loss_cls: 0.2257, decode.d6.loss_mask: 0.4893, decode.d6.loss_dice: 0.7144, decode.d7.loss_cls: 0.2244, decode.d7.loss_mask: 0.4882, decode.d7.loss_dice: 0.7151, decode.d8.loss_cls: 0.2234, decode.d8.loss_mask: 0.4872, decode.d8.loss_dice: 0.7162, loss: 15.7210, grad_norm: 75.3902 2023-11-22 14:15:14,846 - mmseg - INFO - Iter [104350/160000] lr: 3.313e-06, eta: 9:03:51, time: 0.566, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2227, decode.loss_mask: 0.4900, decode.loss_dice: 0.7146, decode.d0.loss_cls: 1.3359, decode.d0.loss_mask: 0.5275, decode.d0.loss_dice: 0.7931, decode.d1.loss_cls: 0.3103, decode.d1.loss_mask: 0.5087, decode.d1.loss_dice: 0.7515, decode.d2.loss_cls: 0.2591, decode.d2.loss_mask: 0.5012, decode.d2.loss_dice: 0.7361, decode.d3.loss_cls: 0.2396, decode.d3.loss_mask: 0.4950, decode.d3.loss_dice: 0.7246, decode.d4.loss_cls: 0.2326, decode.d4.loss_mask: 0.4940, decode.d4.loss_dice: 0.7232, decode.d5.loss_cls: 0.2297, decode.d5.loss_mask: 0.4916, decode.d5.loss_dice: 0.7160, decode.d6.loss_cls: 0.2301, decode.d6.loss_mask: 0.4899, decode.d6.loss_dice: 0.7154, decode.d7.loss_cls: 0.2313, decode.d7.loss_mask: 0.4894, decode.d7.loss_dice: 0.7147, decode.d8.loss_cls: 0.2244, decode.d8.loss_mask: 0.4881, decode.d8.loss_dice: 0.7180, loss: 15.7982, grad_norm: 70.6885 2023-11-22 14:15:43,120 - mmseg - INFO - Iter [104400/160000] lr: 3.310e-06, eta: 9:03:21, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2079, decode.loss_mask: 0.4754, decode.loss_dice: 0.6935, decode.d0.loss_cls: 1.3267, decode.d0.loss_mask: 0.5034, decode.d0.loss_dice: 0.7726, decode.d1.loss_cls: 0.2890, decode.d1.loss_mask: 0.4910, decode.d1.loss_dice: 0.7319, decode.d2.loss_cls: 0.2389, decode.d2.loss_mask: 0.4845, decode.d2.loss_dice: 0.7158, decode.d3.loss_cls: 0.2206, decode.d3.loss_mask: 0.4761, decode.d3.loss_dice: 0.7011, decode.d4.loss_cls: 0.2193, decode.d4.loss_mask: 0.4759, decode.d4.loss_dice: 0.7026, decode.d5.loss_cls: 0.2080, decode.d5.loss_mask: 0.4805, decode.d5.loss_dice: 0.6999, decode.d6.loss_cls: 0.2108, decode.d6.loss_mask: 0.4771, decode.d6.loss_dice: 0.6977, decode.d7.loss_cls: 0.2106, decode.d7.loss_mask: 0.4763, decode.d7.loss_dice: 0.6961, decode.d8.loss_cls: 0.2077, decode.d8.loss_mask: 0.4742, decode.d8.loss_dice: 0.6974, loss: 15.2624, grad_norm: 73.4410 2023-11-22 14:16:11,438 - mmseg - INFO - Iter [104450/160000] lr: 3.307e-06, eta: 9:02:51, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2261, decode.loss_mask: 0.4729, decode.loss_dice: 0.7084, decode.d0.loss_cls: 1.3213, decode.d0.loss_mask: 0.5030, decode.d0.loss_dice: 0.7965, decode.d1.loss_cls: 0.3127, decode.d1.loss_mask: 0.4903, decode.d1.loss_dice: 0.7493, decode.d2.loss_cls: 0.2663, decode.d2.loss_mask: 0.4801, decode.d2.loss_dice: 0.7252, decode.d3.loss_cls: 0.2453, decode.d3.loss_mask: 0.4778, decode.d3.loss_dice: 0.7130, decode.d4.loss_cls: 0.2435, decode.d4.loss_mask: 0.4744, decode.d4.loss_dice: 0.7093, decode.d5.loss_cls: 0.2357, decode.d5.loss_mask: 0.4734, decode.d5.loss_dice: 0.7086, decode.d6.loss_cls: 0.2350, decode.d6.loss_mask: 0.4739, decode.d6.loss_dice: 0.7060, decode.d7.loss_cls: 0.2319, decode.d7.loss_mask: 0.4727, decode.d7.loss_dice: 0.7078, decode.d8.loss_cls: 0.2256, decode.d8.loss_mask: 0.4735, decode.d8.loss_dice: 0.7116, loss: 15.5713, grad_norm: 66.3922 2023-11-22 14:16:39,619 - mmseg - INFO - Iter [104500/160000] lr: 3.304e-06, eta: 9:02:21, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2308, decode.loss_mask: 0.4834, decode.loss_dice: 0.7413, decode.d0.loss_cls: 1.3181, decode.d0.loss_mask: 0.5236, decode.d0.loss_dice: 0.8261, decode.d1.loss_cls: 0.3098, decode.d1.loss_mask: 0.5057, decode.d1.loss_dice: 0.7784, decode.d2.loss_cls: 0.2591, decode.d2.loss_mask: 0.4938, decode.d2.loss_dice: 0.7646, decode.d3.loss_cls: 0.2453, decode.d3.loss_mask: 0.4894, decode.d3.loss_dice: 0.7459, decode.d4.loss_cls: 0.2422, decode.d4.loss_mask: 0.4892, decode.d4.loss_dice: 0.7475, decode.d5.loss_cls: 0.2334, decode.d5.loss_mask: 0.4852, decode.d5.loss_dice: 0.7457, decode.d6.loss_cls: 0.2281, decode.d6.loss_mask: 0.4854, decode.d6.loss_dice: 0.7427, decode.d7.loss_cls: 0.2244, decode.d7.loss_mask: 0.4856, decode.d7.loss_dice: 0.7442, decode.d8.loss_cls: 0.2280, decode.d8.loss_mask: 0.4850, decode.d8.loss_dice: 0.7429, loss: 16.0245, grad_norm: 73.0410 2023-11-22 14:17:07,788 - mmseg - INFO - Iter [104550/160000] lr: 3.301e-06, eta: 9:01:51, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2211, decode.loss_mask: 0.4893, decode.loss_dice: 0.7243, decode.d0.loss_cls: 1.3375, decode.d0.loss_mask: 0.5230, decode.d0.loss_dice: 0.8122, decode.d1.loss_cls: 0.3020, decode.d1.loss_mask: 0.5141, decode.d1.loss_dice: 0.7698, decode.d2.loss_cls: 0.2586, decode.d2.loss_mask: 0.4953, decode.d2.loss_dice: 0.7454, decode.d3.loss_cls: 0.2419, decode.d3.loss_mask: 0.4915, decode.d3.loss_dice: 0.7297, decode.d4.loss_cls: 0.2353, decode.d4.loss_mask: 0.4878, decode.d4.loss_dice: 0.7263, decode.d5.loss_cls: 0.2330, decode.d5.loss_mask: 0.4889, decode.d5.loss_dice: 0.7286, decode.d6.loss_cls: 0.2261, decode.d6.loss_mask: 0.4888, decode.d6.loss_dice: 0.7231, decode.d7.loss_cls: 0.2252, decode.d7.loss_mask: 0.4890, decode.d7.loss_dice: 0.7212, decode.d8.loss_cls: 0.2234, decode.d8.loss_mask: 0.4889, decode.d8.loss_dice: 0.7262, loss: 15.8675, grad_norm: 71.6071 2023-11-22 14:17:35,938 - mmseg - INFO - Iter [104600/160000] lr: 3.298e-06, eta: 9:01:21, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2135, decode.loss_mask: 0.4796, decode.loss_dice: 0.7002, decode.d0.loss_cls: 1.3063, decode.d0.loss_mask: 0.5170, decode.d0.loss_dice: 0.7824, decode.d1.loss_cls: 0.2878, decode.d1.loss_mask: 0.4973, decode.d1.loss_dice: 0.7313, decode.d2.loss_cls: 0.2448, decode.d2.loss_mask: 0.4871, decode.d2.loss_dice: 0.7171, decode.d3.loss_cls: 0.2304, decode.d3.loss_mask: 0.4848, decode.d3.loss_dice: 0.7050, decode.d4.loss_cls: 0.2213, decode.d4.loss_mask: 0.4816, decode.d4.loss_dice: 0.7049, decode.d5.loss_cls: 0.2241, decode.d5.loss_mask: 0.4805, decode.d5.loss_dice: 0.6993, decode.d6.loss_cls: 0.2203, decode.d6.loss_mask: 0.4807, decode.d6.loss_dice: 0.6976, decode.d7.loss_cls: 0.2165, decode.d7.loss_mask: 0.4811, decode.d7.loss_dice: 0.6970, decode.d8.loss_cls: 0.2153, decode.d8.loss_mask: 0.4811, decode.d8.loss_dice: 0.6999, loss: 15.3860, grad_norm: 67.8705 2023-11-22 14:18:04,397 - mmseg - INFO - Iter [104650/160000] lr: 3.295e-06, eta: 9:00:51, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2096, decode.loss_mask: 0.4715, decode.loss_dice: 0.7069, decode.d0.loss_cls: 1.3293, decode.d0.loss_mask: 0.5084, decode.d0.loss_dice: 0.7876, decode.d1.loss_cls: 0.3006, decode.d1.loss_mask: 0.4896, decode.d1.loss_dice: 0.7432, decode.d2.loss_cls: 0.2439, decode.d2.loss_mask: 0.4807, decode.d2.loss_dice: 0.7275, decode.d3.loss_cls: 0.2286, decode.d3.loss_mask: 0.4772, decode.d3.loss_dice: 0.7137, decode.d4.loss_cls: 0.2245, decode.d4.loss_mask: 0.4761, decode.d4.loss_dice: 0.7142, decode.d5.loss_cls: 0.2163, decode.d5.loss_mask: 0.4757, decode.d5.loss_dice: 0.7091, decode.d6.loss_cls: 0.2165, decode.d6.loss_mask: 0.4730, decode.d6.loss_dice: 0.7090, decode.d7.loss_cls: 0.2150, decode.d7.loss_mask: 0.4731, decode.d7.loss_dice: 0.7071, decode.d8.loss_cls: 0.2136, decode.d8.loss_mask: 0.4733, decode.d8.loss_dice: 0.7073, loss: 15.4225, grad_norm: 69.3028 2023-11-22 14:18:32,795 - mmseg - INFO - Iter [104700/160000] lr: 3.292e-06, eta: 9:00:22, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2225, decode.loss_mask: 0.5026, decode.loss_dice: 0.7232, decode.d0.loss_cls: 1.3112, decode.d0.loss_mask: 0.5399, decode.d0.loss_dice: 0.8062, decode.d1.loss_cls: 0.3083, decode.d1.loss_mask: 0.5222, decode.d1.loss_dice: 0.7665, decode.d2.loss_cls: 0.2612, decode.d2.loss_mask: 0.5147, decode.d2.loss_dice: 0.7477, decode.d3.loss_cls: 0.2387, decode.d3.loss_mask: 0.5088, decode.d3.loss_dice: 0.7330, decode.d4.loss_cls: 0.2316, decode.d4.loss_mask: 0.5077, decode.d4.loss_dice: 0.7342, decode.d5.loss_cls: 0.2327, decode.d5.loss_mask: 0.5056, decode.d5.loss_dice: 0.7292, decode.d6.loss_cls: 0.2287, decode.d6.loss_mask: 0.5066, decode.d6.loss_dice: 0.7288, decode.d7.loss_cls: 0.2241, decode.d7.loss_mask: 0.5065, decode.d7.loss_dice: 0.7258, decode.d8.loss_cls: 0.2254, decode.d8.loss_mask: 0.5047, decode.d8.loss_dice: 0.7235, loss: 16.0220, grad_norm: 76.3047 2023-11-22 14:19:01,190 - mmseg - INFO - Iter [104750/160000] lr: 3.289e-06, eta: 8:59:52, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2095, decode.loss_mask: 0.4732, decode.loss_dice: 0.7075, decode.d0.loss_cls: 1.3113, decode.d0.loss_mask: 0.5092, decode.d0.loss_dice: 0.7985, decode.d1.loss_cls: 0.2906, decode.d1.loss_mask: 0.4919, decode.d1.loss_dice: 0.7507, decode.d2.loss_cls: 0.2452, decode.d2.loss_mask: 0.4812, decode.d2.loss_dice: 0.7301, decode.d3.loss_cls: 0.2245, decode.d3.loss_mask: 0.4778, decode.d3.loss_dice: 0.7160, decode.d4.loss_cls: 0.2162, decode.d4.loss_mask: 0.4776, decode.d4.loss_dice: 0.7174, decode.d5.loss_cls: 0.2175, decode.d5.loss_mask: 0.4777, decode.d5.loss_dice: 0.7141, decode.d6.loss_cls: 0.2124, decode.d6.loss_mask: 0.4750, decode.d6.loss_dice: 0.7074, decode.d7.loss_cls: 0.2130, decode.d7.loss_mask: 0.4749, decode.d7.loss_dice: 0.7079, decode.d8.loss_cls: 0.2113, decode.d8.loss_mask: 0.4728, decode.d8.loss_dice: 0.7125, loss: 15.4248, grad_norm: 66.0738 2023-11-22 14:19:29,447 - mmseg - INFO - Iter [104800/160000] lr: 3.286e-06, eta: 8:59:22, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2246, decode.loss_mask: 0.4781, decode.loss_dice: 0.7241, decode.d0.loss_cls: 1.3431, decode.d0.loss_mask: 0.5116, decode.d0.loss_dice: 0.8095, decode.d1.loss_cls: 0.3075, decode.d1.loss_mask: 0.4969, decode.d1.loss_dice: 0.7685, decode.d2.loss_cls: 0.2664, decode.d2.loss_mask: 0.4878, decode.d2.loss_dice: 0.7424, decode.d3.loss_cls: 0.2469, decode.d3.loss_mask: 0.4846, decode.d3.loss_dice: 0.7295, decode.d4.loss_cls: 0.2354, decode.d4.loss_mask: 0.4826, decode.d4.loss_dice: 0.7325, decode.d5.loss_cls: 0.2291, decode.d5.loss_mask: 0.4812, decode.d5.loss_dice: 0.7317, decode.d6.loss_cls: 0.2291, decode.d6.loss_mask: 0.4803, decode.d6.loss_dice: 0.7234, decode.d7.loss_cls: 0.2211, decode.d7.loss_mask: 0.4791, decode.d7.loss_dice: 0.7290, decode.d8.loss_cls: 0.2231, decode.d8.loss_mask: 0.4784, decode.d8.loss_dice: 0.7269, loss: 15.8043, grad_norm: 71.0498 2023-11-22 14:20:00,114 - mmseg - INFO - Iter [104850/160000] lr: 3.283e-06, eta: 8:58:53, time: 0.613, data_time: 0.059, memory: 38143, decode.loss_cls: 0.2146, decode.loss_mask: 0.4917, decode.loss_dice: 0.7252, decode.d0.loss_cls: 1.3205, decode.d0.loss_mask: 0.5238, decode.d0.loss_dice: 0.7999, decode.d1.loss_cls: 0.2998, decode.d1.loss_mask: 0.5086, decode.d1.loss_dice: 0.7581, decode.d2.loss_cls: 0.2473, decode.d2.loss_mask: 0.5009, decode.d2.loss_dice: 0.7423, decode.d3.loss_cls: 0.2320, decode.d3.loss_mask: 0.4975, decode.d3.loss_dice: 0.7280, decode.d4.loss_cls: 0.2262, decode.d4.loss_mask: 0.4959, decode.d4.loss_dice: 0.7253, decode.d5.loss_cls: 0.2231, decode.d5.loss_mask: 0.4941, decode.d5.loss_dice: 0.7231, decode.d6.loss_cls: 0.2146, decode.d6.loss_mask: 0.4941, decode.d6.loss_dice: 0.7211, decode.d7.loss_cls: 0.2127, decode.d7.loss_mask: 0.4924, decode.d7.loss_dice: 0.7224, decode.d8.loss_cls: 0.2131, decode.d8.loss_mask: 0.4904, decode.d8.loss_dice: 0.7228, loss: 15.7617, grad_norm: 71.0761 2023-11-22 14:20:28,269 - mmseg - INFO - Iter [104900/160000] lr: 3.280e-06, eta: 8:58:23, time: 0.563, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2025, decode.loss_mask: 0.4759, decode.loss_dice: 0.7157, decode.d0.loss_cls: 1.3018, decode.d0.loss_mask: 0.5081, decode.d0.loss_dice: 0.7898, decode.d1.loss_cls: 0.2811, decode.d1.loss_mask: 0.4945, decode.d1.loss_dice: 0.7615, decode.d2.loss_cls: 0.2287, decode.d2.loss_mask: 0.4850, decode.d2.loss_dice: 0.7404, decode.d3.loss_cls: 0.2206, decode.d3.loss_mask: 0.4789, decode.d3.loss_dice: 0.7238, decode.d4.loss_cls: 0.2124, decode.d4.loss_mask: 0.4779, decode.d4.loss_dice: 0.7252, decode.d5.loss_cls: 0.2060, decode.d5.loss_mask: 0.4760, decode.d5.loss_dice: 0.7234, decode.d6.loss_cls: 0.2069, decode.d6.loss_mask: 0.4745, decode.d6.loss_dice: 0.7171, decode.d7.loss_cls: 0.2078, decode.d7.loss_mask: 0.4723, decode.d7.loss_dice: 0.7173, decode.d8.loss_cls: 0.2027, decode.d8.loss_mask: 0.4741, decode.d8.loss_dice: 0.7185, loss: 15.4204, grad_norm: 68.6128 2023-11-22 14:20:56,704 - mmseg - INFO - Iter [104950/160000] lr: 3.277e-06, eta: 8:57:54, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2138, decode.loss_mask: 0.4683, decode.loss_dice: 0.7047, decode.d0.loss_cls: 1.2868, decode.d0.loss_mask: 0.4978, decode.d0.loss_dice: 0.7783, decode.d1.loss_cls: 0.2892, decode.d1.loss_mask: 0.4821, decode.d1.loss_dice: 0.7360, decode.d2.loss_cls: 0.2412, decode.d2.loss_mask: 0.4740, decode.d2.loss_dice: 0.7243, decode.d3.loss_cls: 0.2314, decode.d3.loss_mask: 0.4710, decode.d3.loss_dice: 0.7090, decode.d4.loss_cls: 0.2196, decode.d4.loss_mask: 0.4705, decode.d4.loss_dice: 0.7086, decode.d5.loss_cls: 0.2214, decode.d5.loss_mask: 0.4692, decode.d5.loss_dice: 0.7093, decode.d6.loss_cls: 0.2208, decode.d6.loss_mask: 0.4697, decode.d6.loss_dice: 0.7049, decode.d7.loss_cls: 0.2193, decode.d7.loss_mask: 0.4677, decode.d7.loss_dice: 0.7048, decode.d8.loss_cls: 0.2152, decode.d8.loss_mask: 0.4676, decode.d8.loss_dice: 0.7051, loss: 15.2817, grad_norm: 67.4475 2023-11-22 14:21:25,370 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 14:21:25,370 - mmseg - INFO - Iter [105000/160000] lr: 3.274e-06, eta: 8:57:24, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2133, decode.loss_mask: 0.4546, decode.loss_dice: 0.6798, decode.d0.loss_cls: 1.3350, decode.d0.loss_mask: 0.4911, decode.d0.loss_dice: 0.7655, decode.d1.loss_cls: 0.3155, decode.d1.loss_mask: 0.4780, decode.d1.loss_dice: 0.7226, decode.d2.loss_cls: 0.2515, decode.d2.loss_mask: 0.4658, decode.d2.loss_dice: 0.7008, decode.d3.loss_cls: 0.2259, decode.d3.loss_mask: 0.4617, decode.d3.loss_dice: 0.6914, decode.d4.loss_cls: 0.2240, decode.d4.loss_mask: 0.4608, decode.d4.loss_dice: 0.6918, decode.d5.loss_cls: 0.2170, decode.d5.loss_mask: 0.4607, decode.d5.loss_dice: 0.6908, decode.d6.loss_cls: 0.2192, decode.d6.loss_mask: 0.4561, decode.d6.loss_dice: 0.6841, decode.d7.loss_cls: 0.2181, decode.d7.loss_mask: 0.4573, decode.d7.loss_dice: 0.6863, decode.d8.loss_cls: 0.2121, decode.d8.loss_mask: 0.4556, decode.d8.loss_dice: 0.6841, loss: 15.0707, grad_norm: 65.5752 2023-11-22 14:21:53,750 - mmseg - INFO - Iter [105050/160000] lr: 3.271e-06, eta: 8:56:54, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2224, decode.loss_mask: 0.4819, decode.loss_dice: 0.7354, decode.d0.loss_cls: 1.3334, decode.d0.loss_mask: 0.5162, decode.d0.loss_dice: 0.8118, decode.d1.loss_cls: 0.3086, decode.d1.loss_mask: 0.4995, decode.d1.loss_dice: 0.7696, decode.d2.loss_cls: 0.2502, decode.d2.loss_mask: 0.4906, decode.d2.loss_dice: 0.7527, decode.d3.loss_cls: 0.2441, decode.d3.loss_mask: 0.4852, decode.d3.loss_dice: 0.7370, decode.d4.loss_cls: 0.2368, decode.d4.loss_mask: 0.4842, decode.d4.loss_dice: 0.7354, decode.d5.loss_cls: 0.2311, decode.d5.loss_mask: 0.4851, decode.d5.loss_dice: 0.7351, decode.d6.loss_cls: 0.2325, decode.d6.loss_mask: 0.4846, decode.d6.loss_dice: 0.7306, decode.d7.loss_cls: 0.2224, decode.d7.loss_mask: 0.4831, decode.d7.loss_dice: 0.7312, decode.d8.loss_cls: 0.2216, decode.d8.loss_mask: 0.4828, decode.d8.loss_dice: 0.7355, loss: 15.8706, grad_norm: 65.6123 2023-11-22 14:22:21,919 - mmseg - INFO - Iter [105100/160000] lr: 3.268e-06, eta: 8:56:24, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2115, decode.loss_mask: 0.4738, decode.loss_dice: 0.7152, decode.d0.loss_cls: 1.3356, decode.d0.loss_mask: 0.5062, decode.d0.loss_dice: 0.7940, decode.d1.loss_cls: 0.3021, decode.d1.loss_mask: 0.4918, decode.d1.loss_dice: 0.7607, decode.d2.loss_cls: 0.2499, decode.d2.loss_mask: 0.4818, decode.d2.loss_dice: 0.7379, decode.d3.loss_cls: 0.2272, decode.d3.loss_mask: 0.4796, decode.d3.loss_dice: 0.7266, decode.d4.loss_cls: 0.2265, decode.d4.loss_mask: 0.4768, decode.d4.loss_dice: 0.7222, decode.d5.loss_cls: 0.2195, decode.d5.loss_mask: 0.4775, decode.d5.loss_dice: 0.7219, decode.d6.loss_cls: 0.2180, decode.d6.loss_mask: 0.4739, decode.d6.loss_dice: 0.7190, decode.d7.loss_cls: 0.2147, decode.d7.loss_mask: 0.4751, decode.d7.loss_dice: 0.7195, decode.d8.loss_cls: 0.2141, decode.d8.loss_mask: 0.4735, decode.d8.loss_dice: 0.7171, loss: 15.5634, grad_norm: 78.3305 2023-11-22 14:22:50,258 - mmseg - INFO - Iter [105150/160000] lr: 3.265e-06, eta: 8:55:54, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2312, decode.loss_mask: 0.4520, decode.loss_dice: 0.6904, decode.d0.loss_cls: 1.3402, decode.d0.loss_mask: 0.4814, decode.d0.loss_dice: 0.7759, decode.d1.loss_cls: 0.3100, decode.d1.loss_mask: 0.4668, decode.d1.loss_dice: 0.7334, decode.d2.loss_cls: 0.2635, decode.d2.loss_mask: 0.4569, decode.d2.loss_dice: 0.7125, decode.d3.loss_cls: 0.2466, decode.d3.loss_mask: 0.4560, decode.d3.loss_dice: 0.6973, decode.d4.loss_cls: 0.2384, decode.d4.loss_mask: 0.4553, decode.d4.loss_dice: 0.6959, decode.d5.loss_cls: 0.2364, decode.d5.loss_mask: 0.4511, decode.d5.loss_dice: 0.6908, decode.d6.loss_cls: 0.2330, decode.d6.loss_mask: 0.4526, decode.d6.loss_dice: 0.6878, decode.d7.loss_cls: 0.2294, decode.d7.loss_mask: 0.4517, decode.d7.loss_dice: 0.6894, decode.d8.loss_cls: 0.2310, decode.d8.loss_mask: 0.4508, decode.d8.loss_dice: 0.6881, loss: 15.1955, grad_norm: 66.5685 2023-11-22 14:23:18,485 - mmseg - INFO - Iter [105200/160000] lr: 3.262e-06, eta: 8:55:24, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2133, decode.loss_mask: 0.4647, decode.loss_dice: 0.7037, decode.d0.loss_cls: 1.3038, decode.d0.loss_mask: 0.5022, decode.d0.loss_dice: 0.7828, decode.d1.loss_cls: 0.2984, decode.d1.loss_mask: 0.4893, decode.d1.loss_dice: 0.7413, decode.d2.loss_cls: 0.2473, decode.d2.loss_mask: 0.4763, decode.d2.loss_dice: 0.7244, decode.d3.loss_cls: 0.2324, decode.d3.loss_mask: 0.4722, decode.d3.loss_dice: 0.7121, decode.d4.loss_cls: 0.2265, decode.d4.loss_mask: 0.4688, decode.d4.loss_dice: 0.7120, decode.d5.loss_cls: 0.2218, decode.d5.loss_mask: 0.4708, decode.d5.loss_dice: 0.7045, decode.d6.loss_cls: 0.2253, decode.d6.loss_mask: 0.4666, decode.d6.loss_dice: 0.7049, decode.d7.loss_cls: 0.2238, decode.d7.loss_mask: 0.4645, decode.d7.loss_dice: 0.7002, decode.d8.loss_cls: 0.2211, decode.d8.loss_mask: 0.4654, decode.d8.loss_dice: 0.7006, loss: 15.3410, grad_norm: 75.4185 2023-11-22 14:23:47,100 - mmseg - INFO - Iter [105250/160000] lr: 3.259e-06, eta: 8:54:55, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2094, decode.loss_mask: 0.4728, decode.loss_dice: 0.7123, decode.d0.loss_cls: 1.2754, decode.d0.loss_mask: 0.5111, decode.d0.loss_dice: 0.8053, decode.d1.loss_cls: 0.2903, decode.d1.loss_mask: 0.4917, decode.d1.loss_dice: 0.7668, decode.d2.loss_cls: 0.2409, decode.d2.loss_mask: 0.4801, decode.d2.loss_dice: 0.7419, decode.d3.loss_cls: 0.2323, decode.d3.loss_mask: 0.4739, decode.d3.loss_dice: 0.7224, decode.d4.loss_cls: 0.2252, decode.d4.loss_mask: 0.4736, decode.d4.loss_dice: 0.7212, decode.d5.loss_cls: 0.2201, decode.d5.loss_mask: 0.4717, decode.d5.loss_dice: 0.7189, decode.d6.loss_cls: 0.2151, decode.d6.loss_mask: 0.4738, decode.d6.loss_dice: 0.7181, decode.d7.loss_cls: 0.2127, decode.d7.loss_mask: 0.4729, decode.d7.loss_dice: 0.7161, decode.d8.loss_cls: 0.2112, decode.d8.loss_mask: 0.4725, decode.d8.loss_dice: 0.7143, loss: 15.4643, grad_norm: 68.9931 2023-11-22 14:24:15,710 - mmseg - INFO - Iter [105300/160000] lr: 3.256e-06, eta: 8:54:25, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1969, decode.loss_mask: 0.4650, decode.loss_dice: 0.6887, decode.d0.loss_cls: 1.2976, decode.d0.loss_mask: 0.4981, decode.d0.loss_dice: 0.7638, decode.d1.loss_cls: 0.2775, decode.d1.loss_mask: 0.4800, decode.d1.loss_dice: 0.7289, decode.d2.loss_cls: 0.2325, decode.d2.loss_mask: 0.4728, decode.d2.loss_dice: 0.7080, decode.d3.loss_cls: 0.2177, decode.d3.loss_mask: 0.4686, decode.d3.loss_dice: 0.6940, decode.d4.loss_cls: 0.2135, decode.d4.loss_mask: 0.4679, decode.d4.loss_dice: 0.6946, decode.d5.loss_cls: 0.2064, decode.d5.loss_mask: 0.4668, decode.d5.loss_dice: 0.6925, decode.d6.loss_cls: 0.2064, decode.d6.loss_mask: 0.4654, decode.d6.loss_dice: 0.6881, decode.d7.loss_cls: 0.1990, decode.d7.loss_mask: 0.4656, decode.d7.loss_dice: 0.6890, decode.d8.loss_cls: 0.1987, decode.d8.loss_mask: 0.4642, decode.d8.loss_dice: 0.6886, loss: 14.9968, grad_norm: 73.1991 2023-11-22 14:24:43,994 - mmseg - INFO - Iter [105350/160000] lr: 3.253e-06, eta: 8:53:55, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1991, decode.loss_mask: 0.4556, decode.loss_dice: 0.7147, decode.d0.loss_cls: 1.3503, decode.d0.loss_mask: 0.4880, decode.d0.loss_dice: 0.7854, decode.d1.loss_cls: 0.2862, decode.d1.loss_mask: 0.4717, decode.d1.loss_dice: 0.7495, decode.d2.loss_cls: 0.2349, decode.d2.loss_mask: 0.4639, decode.d2.loss_dice: 0.7339, decode.d3.loss_cls: 0.2170, decode.d3.loss_mask: 0.4575, decode.d3.loss_dice: 0.7186, decode.d4.loss_cls: 0.2036, decode.d4.loss_mask: 0.4581, decode.d4.loss_dice: 0.7203, decode.d5.loss_cls: 0.2046, decode.d5.loss_mask: 0.4573, decode.d5.loss_dice: 0.7178, decode.d6.loss_cls: 0.2055, decode.d6.loss_mask: 0.4572, decode.d6.loss_dice: 0.7146, decode.d7.loss_cls: 0.2022, decode.d7.loss_mask: 0.4565, decode.d7.loss_dice: 0.7124, decode.d8.loss_cls: 0.2005, decode.d8.loss_mask: 0.4554, decode.d8.loss_dice: 0.7117, loss: 15.2038, grad_norm: 65.1231 2023-11-22 14:25:12,168 - mmseg - INFO - Iter [105400/160000] lr: 3.250e-06, eta: 8:53:25, time: 0.563, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2161, decode.loss_mask: 0.4704, decode.loss_dice: 0.7192, decode.d0.loss_cls: 1.2868, decode.d0.loss_mask: 0.5059, decode.d0.loss_dice: 0.8042, decode.d1.loss_cls: 0.2968, decode.d1.loss_mask: 0.4876, decode.d1.loss_dice: 0.7623, decode.d2.loss_cls: 0.2528, decode.d2.loss_mask: 0.4777, decode.d2.loss_dice: 0.7385, decode.d3.loss_cls: 0.2350, decode.d3.loss_mask: 0.4736, decode.d3.loss_dice: 0.7280, decode.d4.loss_cls: 0.2279, decode.d4.loss_mask: 0.4731, decode.d4.loss_dice: 0.7291, decode.d5.loss_cls: 0.2257, decode.d5.loss_mask: 0.4724, decode.d5.loss_dice: 0.7228, decode.d6.loss_cls: 0.2241, decode.d6.loss_mask: 0.4717, decode.d6.loss_dice: 0.7201, decode.d7.loss_cls: 0.2201, decode.d7.loss_mask: 0.4711, decode.d7.loss_dice: 0.7208, decode.d8.loss_cls: 0.2161, decode.d8.loss_mask: 0.4713, decode.d8.loss_dice: 0.7215, loss: 15.5428, grad_norm: 72.5287 2023-11-22 14:25:40,607 - mmseg - INFO - Iter [105450/160000] lr: 3.247e-06, eta: 8:52:56, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2199, decode.loss_mask: 0.4606, decode.loss_dice: 0.6964, decode.d0.loss_cls: 1.3535, decode.d0.loss_mask: 0.4956, decode.d0.loss_dice: 0.7840, decode.d1.loss_cls: 0.3136, decode.d1.loss_mask: 0.4775, decode.d1.loss_dice: 0.7416, decode.d2.loss_cls: 0.2661, decode.d2.loss_mask: 0.4672, decode.d2.loss_dice: 0.7182, decode.d3.loss_cls: 0.2434, decode.d3.loss_mask: 0.4632, decode.d3.loss_dice: 0.6992, decode.d4.loss_cls: 0.2347, decode.d4.loss_mask: 0.4604, decode.d4.loss_dice: 0.7001, decode.d5.loss_cls: 0.2261, decode.d5.loss_mask: 0.4623, decode.d5.loss_dice: 0.6985, decode.d6.loss_cls: 0.2254, decode.d6.loss_mask: 0.4613, decode.d6.loss_dice: 0.6917, decode.d7.loss_cls: 0.2205, decode.d7.loss_mask: 0.4606, decode.d7.loss_dice: 0.6930, decode.d8.loss_cls: 0.2213, decode.d8.loss_mask: 0.4591, decode.d8.loss_dice: 0.6954, loss: 15.3104, grad_norm: 72.5133 2023-11-22 14:26:08,938 - mmseg - INFO - Iter [105500/160000] lr: 3.244e-06, eta: 8:52:26, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2104, decode.loss_mask: 0.4777, decode.loss_dice: 0.7061, decode.d0.loss_cls: 1.3294, decode.d0.loss_mask: 0.5134, decode.d0.loss_dice: 0.7882, decode.d1.loss_cls: 0.3033, decode.d1.loss_mask: 0.4950, decode.d1.loss_dice: 0.7455, decode.d2.loss_cls: 0.2576, decode.d2.loss_mask: 0.4870, decode.d2.loss_dice: 0.7244, decode.d3.loss_cls: 0.2360, decode.d3.loss_mask: 0.4811, decode.d3.loss_dice: 0.7079, decode.d4.loss_cls: 0.2266, decode.d4.loss_mask: 0.4813, decode.d4.loss_dice: 0.7102, decode.d5.loss_cls: 0.2203, decode.d5.loss_mask: 0.4813, decode.d5.loss_dice: 0.7086, decode.d6.loss_cls: 0.2176, decode.d6.loss_mask: 0.4781, decode.d6.loss_dice: 0.7011, decode.d7.loss_cls: 0.2194, decode.d7.loss_mask: 0.4779, decode.d7.loss_dice: 0.7042, decode.d8.loss_cls: 0.2201, decode.d8.loss_mask: 0.4780, decode.d8.loss_dice: 0.7055, loss: 15.4931, grad_norm: 70.9366 2023-11-22 14:26:37,568 - mmseg - INFO - Iter [105550/160000] lr: 3.241e-06, eta: 8:51:56, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2097, decode.loss_mask: 0.4756, decode.loss_dice: 0.7037, decode.d0.loss_cls: 1.3312, decode.d0.loss_mask: 0.5089, decode.d0.loss_dice: 0.7886, decode.d1.loss_cls: 0.2984, decode.d1.loss_mask: 0.4915, decode.d1.loss_dice: 0.7419, decode.d2.loss_cls: 0.2438, decode.d2.loss_mask: 0.4849, decode.d2.loss_dice: 0.7259, decode.d3.loss_cls: 0.2285, decode.d3.loss_mask: 0.4787, decode.d3.loss_dice: 0.7093, decode.d4.loss_cls: 0.2208, decode.d4.loss_mask: 0.4766, decode.d4.loss_dice: 0.7071, decode.d5.loss_cls: 0.2201, decode.d5.loss_mask: 0.4763, decode.d5.loss_dice: 0.7064, decode.d6.loss_cls: 0.2122, decode.d6.loss_mask: 0.4756, decode.d6.loss_dice: 0.7041, decode.d7.loss_cls: 0.2130, decode.d7.loss_mask: 0.4754, decode.d7.loss_dice: 0.7022, decode.d8.loss_cls: 0.2110, decode.d8.loss_mask: 0.4762, decode.d8.loss_dice: 0.7035, loss: 15.4013, grad_norm: 72.1304 2023-11-22 14:27:06,536 - mmseg - INFO - Iter [105600/160000] lr: 3.239e-06, eta: 8:51:27, time: 0.579, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2216, decode.loss_mask: 0.4694, decode.loss_dice: 0.7031, decode.d0.loss_cls: 1.3229, decode.d0.loss_mask: 0.5078, decode.d0.loss_dice: 0.7851, decode.d1.loss_cls: 0.3090, decode.d1.loss_mask: 0.4862, decode.d1.loss_dice: 0.7397, decode.d2.loss_cls: 0.2533, decode.d2.loss_mask: 0.4789, decode.d2.loss_dice: 0.7207, decode.d3.loss_cls: 0.2382, decode.d3.loss_mask: 0.4709, decode.d3.loss_dice: 0.7091, decode.d4.loss_cls: 0.2317, decode.d4.loss_mask: 0.4731, decode.d4.loss_dice: 0.7085, decode.d5.loss_cls: 0.2341, decode.d5.loss_mask: 0.4724, decode.d5.loss_dice: 0.7067, decode.d6.loss_cls: 0.2261, decode.d6.loss_mask: 0.4715, decode.d6.loss_dice: 0.7009, decode.d7.loss_cls: 0.2181, decode.d7.loss_mask: 0.4711, decode.d7.loss_dice: 0.7023, decode.d8.loss_cls: 0.2198, decode.d8.loss_mask: 0.4706, decode.d8.loss_dice: 0.7010, loss: 15.4241, grad_norm: 76.9148 2023-11-22 14:27:35,062 - mmseg - INFO - Iter [105650/160000] lr: 3.236e-06, eta: 8:50:57, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2145, decode.loss_mask: 0.4661, decode.loss_dice: 0.7085, decode.d0.loss_cls: 1.3274, decode.d0.loss_mask: 0.5027, decode.d0.loss_dice: 0.7875, decode.d1.loss_cls: 0.2867, decode.d1.loss_mask: 0.4845, decode.d1.loss_dice: 0.7527, decode.d2.loss_cls: 0.2472, decode.d2.loss_mask: 0.4744, decode.d2.loss_dice: 0.7245, decode.d3.loss_cls: 0.2259, decode.d3.loss_mask: 0.4696, decode.d3.loss_dice: 0.7183, decode.d4.loss_cls: 0.2224, decode.d4.loss_mask: 0.4669, decode.d4.loss_dice: 0.7145, decode.d5.loss_cls: 0.2164, decode.d5.loss_mask: 0.4697, decode.d5.loss_dice: 0.7161, decode.d6.loss_cls: 0.2159, decode.d6.loss_mask: 0.4663, decode.d6.loss_dice: 0.7098, decode.d7.loss_cls: 0.2179, decode.d7.loss_mask: 0.4655, decode.d7.loss_dice: 0.7109, decode.d8.loss_cls: 0.2131, decode.d8.loss_mask: 0.4656, decode.d8.loss_dice: 0.7100, loss: 15.3716, grad_norm: 70.6684 2023-11-22 14:28:03,241 - mmseg - INFO - Iter [105700/160000] lr: 3.233e-06, eta: 8:50:27, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2175, decode.loss_mask: 0.4738, decode.loss_dice: 0.6933, decode.d0.loss_cls: 1.3189, decode.d0.loss_mask: 0.5116, decode.d0.loss_dice: 0.7883, decode.d1.loss_cls: 0.2888, decode.d1.loss_mask: 0.4913, decode.d1.loss_dice: 0.7419, decode.d2.loss_cls: 0.2440, decode.d2.loss_mask: 0.4834, decode.d2.loss_dice: 0.7171, decode.d3.loss_cls: 0.2338, decode.d3.loss_mask: 0.4787, decode.d3.loss_dice: 0.7007, decode.d4.loss_cls: 0.2281, decode.d4.loss_mask: 0.4766, decode.d4.loss_dice: 0.7012, decode.d5.loss_cls: 0.2225, decode.d5.loss_mask: 0.4770, decode.d5.loss_dice: 0.7033, decode.d6.loss_cls: 0.2215, decode.d6.loss_mask: 0.4773, decode.d6.loss_dice: 0.7029, decode.d7.loss_cls: 0.2185, decode.d7.loss_mask: 0.4775, decode.d7.loss_dice: 0.6992, decode.d8.loss_cls: 0.2161, decode.d8.loss_mask: 0.4743, decode.d8.loss_dice: 0.6978, loss: 15.3770, grad_norm: 70.1293 2023-11-22 14:28:31,779 - mmseg - INFO - Iter [105750/160000] lr: 3.230e-06, eta: 8:49:57, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2128, decode.loss_mask: 0.4581, decode.loss_dice: 0.6888, decode.d0.loss_cls: 1.2844, decode.d0.loss_mask: 0.4906, decode.d0.loss_dice: 0.7605, decode.d1.loss_cls: 0.2875, decode.d1.loss_mask: 0.4766, decode.d1.loss_dice: 0.7200, decode.d2.loss_cls: 0.2388, decode.d2.loss_mask: 0.4671, decode.d2.loss_dice: 0.7054, decode.d3.loss_cls: 0.2230, decode.d3.loss_mask: 0.4611, decode.d3.loss_dice: 0.6944, decode.d4.loss_cls: 0.2148, decode.d4.loss_mask: 0.4594, decode.d4.loss_dice: 0.6929, decode.d5.loss_cls: 0.2139, decode.d5.loss_mask: 0.4591, decode.d5.loss_dice: 0.6969, decode.d6.loss_cls: 0.2121, decode.d6.loss_mask: 0.4594, decode.d6.loss_dice: 0.6909, decode.d7.loss_cls: 0.2105, decode.d7.loss_mask: 0.4590, decode.d7.loss_dice: 0.6904, decode.d8.loss_cls: 0.2107, decode.d8.loss_mask: 0.4607, decode.d8.loss_dice: 0.6930, loss: 14.9927, grad_norm: 66.4613 2023-11-22 14:29:00,054 - mmseg - INFO - Iter [105800/160000] lr: 3.227e-06, eta: 8:49:28, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2150, decode.loss_mask: 0.4761, decode.loss_dice: 0.7372, decode.d0.loss_cls: 1.3347, decode.d0.loss_mask: 0.5101, decode.d0.loss_dice: 0.8196, decode.d1.loss_cls: 0.2986, decode.d1.loss_mask: 0.4931, decode.d1.loss_dice: 0.7788, decode.d2.loss_cls: 0.2489, decode.d2.loss_mask: 0.4837, decode.d2.loss_dice: 0.7586, decode.d3.loss_cls: 0.2289, decode.d3.loss_mask: 0.4766, decode.d3.loss_dice: 0.7464, decode.d4.loss_cls: 0.2295, decode.d4.loss_mask: 0.4750, decode.d4.loss_dice: 0.7417, decode.d5.loss_cls: 0.2211, decode.d5.loss_mask: 0.4754, decode.d5.loss_dice: 0.7393, decode.d6.loss_cls: 0.2193, decode.d6.loss_mask: 0.4746, decode.d6.loss_dice: 0.7353, decode.d7.loss_cls: 0.2165, decode.d7.loss_mask: 0.4755, decode.d7.loss_dice: 0.7390, decode.d8.loss_cls: 0.2119, decode.d8.loss_mask: 0.4741, decode.d8.loss_dice: 0.7396, loss: 15.7739, grad_norm: 66.1428 2023-11-22 14:29:28,636 - mmseg - INFO - Iter [105850/160000] lr: 3.224e-06, eta: 8:48:58, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2244, decode.loss_mask: 0.4678, decode.loss_dice: 0.6971, decode.d0.loss_cls: 1.3600, decode.d0.loss_mask: 0.5002, decode.d0.loss_dice: 0.7856, decode.d1.loss_cls: 0.2955, decode.d1.loss_mask: 0.4861, decode.d1.loss_dice: 0.7416, decode.d2.loss_cls: 0.2556, decode.d2.loss_mask: 0.4763, decode.d2.loss_dice: 0.7201, decode.d3.loss_cls: 0.2374, decode.d3.loss_mask: 0.4679, decode.d3.loss_dice: 0.7100, decode.d4.loss_cls: 0.2314, decode.d4.loss_mask: 0.4692, decode.d4.loss_dice: 0.7073, decode.d5.loss_cls: 0.2322, decode.d5.loss_mask: 0.4673, decode.d5.loss_dice: 0.7053, decode.d6.loss_cls: 0.2274, decode.d6.loss_mask: 0.4683, decode.d6.loss_dice: 0.7007, decode.d7.loss_cls: 0.2256, decode.d7.loss_mask: 0.4679, decode.d7.loss_dice: 0.6979, decode.d8.loss_cls: 0.2230, decode.d8.loss_mask: 0.4690, decode.d8.loss_dice: 0.6978, loss: 15.4161, grad_norm: 68.4462 2023-11-22 14:29:57,312 - mmseg - INFO - Iter [105900/160000] lr: 3.221e-06, eta: 8:48:28, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2296, decode.loss_mask: 0.4750, decode.loss_dice: 0.6993, decode.d0.loss_cls: 1.3061, decode.d0.loss_mask: 0.5139, decode.d0.loss_dice: 0.7801, decode.d1.loss_cls: 0.3088, decode.d1.loss_mask: 0.4930, decode.d1.loss_dice: 0.7358, decode.d2.loss_cls: 0.2582, decode.d2.loss_mask: 0.4836, decode.d2.loss_dice: 0.7186, decode.d3.loss_cls: 0.2462, decode.d3.loss_mask: 0.4803, decode.d3.loss_dice: 0.7038, decode.d4.loss_cls: 0.2384, decode.d4.loss_mask: 0.4776, decode.d4.loss_dice: 0.7047, decode.d5.loss_cls: 0.2360, decode.d5.loss_mask: 0.4764, decode.d5.loss_dice: 0.7071, decode.d6.loss_cls: 0.2326, decode.d6.loss_mask: 0.4743, decode.d6.loss_dice: 0.7038, decode.d7.loss_cls: 0.2311, decode.d7.loss_mask: 0.4732, decode.d7.loss_dice: 0.6987, decode.d8.loss_cls: 0.2300, decode.d8.loss_mask: 0.4741, decode.d8.loss_dice: 0.6988, loss: 15.4894, grad_norm: 73.3532 2023-11-22 14:30:25,660 - mmseg - INFO - Iter [105950/160000] lr: 3.218e-06, eta: 8:47:58, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1977, decode.loss_mask: 0.4802, decode.loss_dice: 0.6899, decode.d0.loss_cls: 1.2781, decode.d0.loss_mask: 0.5143, decode.d0.loss_dice: 0.7668, decode.d1.loss_cls: 0.2731, decode.d1.loss_mask: 0.4955, decode.d1.loss_dice: 0.7296, decode.d2.loss_cls: 0.2330, decode.d2.loss_mask: 0.4864, decode.d2.loss_dice: 0.7092, decode.d3.loss_cls: 0.2167, decode.d3.loss_mask: 0.4833, decode.d3.loss_dice: 0.6982, decode.d4.loss_cls: 0.2091, decode.d4.loss_mask: 0.4838, decode.d4.loss_dice: 0.6967, decode.d5.loss_cls: 0.2070, decode.d5.loss_mask: 0.4802, decode.d5.loss_dice: 0.6936, decode.d6.loss_cls: 0.2016, decode.d6.loss_mask: 0.4833, decode.d6.loss_dice: 0.6918, decode.d7.loss_cls: 0.1990, decode.d7.loss_mask: 0.4828, decode.d7.loss_dice: 0.6933, decode.d8.loss_cls: 0.1985, decode.d8.loss_mask: 0.4826, decode.d8.loss_dice: 0.6962, loss: 15.1516, grad_norm: 68.8500 2023-11-22 14:30:53,929 - mmseg - INFO - Saving checkpoint at 106000 iterations 2023-11-22 14:31:01,957 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 14:31:01,957 - mmseg - INFO - Iter [106000/160000] lr: 3.215e-06, eta: 8:47:33, time: 0.726, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2318, decode.loss_mask: 0.4750, decode.loss_dice: 0.7091, decode.d0.loss_cls: 1.3218, decode.d0.loss_mask: 0.5112, decode.d0.loss_dice: 0.7972, decode.d1.loss_cls: 0.3115, decode.d1.loss_mask: 0.4909, decode.d1.loss_dice: 0.7491, decode.d2.loss_cls: 0.2613, decode.d2.loss_mask: 0.4841, decode.d2.loss_dice: 0.7252, decode.d3.loss_cls: 0.2478, decode.d3.loss_mask: 0.4790, decode.d3.loss_dice: 0.7138, decode.d4.loss_cls: 0.2406, decode.d4.loss_mask: 0.4769, decode.d4.loss_dice: 0.7156, decode.d5.loss_cls: 0.2358, decode.d5.loss_mask: 0.4784, decode.d5.loss_dice: 0.7150, decode.d6.loss_cls: 0.2322, decode.d6.loss_mask: 0.4772, decode.d6.loss_dice: 0.7099, decode.d7.loss_cls: 0.2282, decode.d7.loss_mask: 0.4773, decode.d7.loss_dice: 0.7136, decode.d8.loss_cls: 0.2336, decode.d8.loss_mask: 0.4744, decode.d8.loss_dice: 0.7046, loss: 15.6224, grad_norm: 70.3585 2023-11-22 14:31:21,332 - mmseg - INFO - per class results: 2023-11-22 14:31:21,337 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.71 | 88.14 | | building | 83.99 | 90.99 | | sky | 95.14 | 97.69 | | floor | 84.49 | 91.38 | | tree | 75.91 | 88.6 | | ceiling | 85.64 | 92.05 | | road | 88.12 | 92.52 | | bed | 91.25 | 94.87 | | windowpane | 64.93 | 83.17 | | grass | 71.42 | 84.19 | | cabinet | 63.94 | 77.07 | | sidewalk | 72.27 | 84.86 | | person | 85.89 | 94.01 | | earth | 44.07 | 63.65 | | door | 54.34 | 69.78 | | table | 68.76 | 84.33 | | mountain | 54.12 | 65.84 | | plant | 52.8 | 65.11 | | curtain | 75.3 | 88.51 | | chair | 65.65 | 78.73 | | car | 88.15 | 94.32 | | water | 59.98 | 72.01 | | painting | 74.53 | 90.29 | | sofa | 77.09 | 89.02 | | shelf | 44.09 | 59.43 | | house | 43.81 | 75.54 | | sea | 62.97 | 83.64 | | mirror | 75.77 | 83.4 | | rug | 66.54 | 79.03 | | field | 38.36 | 55.08 | | armchair | 52.59 | 69.42 | | seat | 65.04 | 86.14 | | fence | 51.1 | 65.07 | | desk | 52.93 | 75.58 | | rock | 52.98 | 72.58 | | wardrobe | 46.68 | 63.84 | | lamp | 73.03 | 83.95 | | bathtub | 75.2 | 87.46 | | railing | 37.12 | 53.42 | | cushion | 67.8 | 79.9 | | base | 45.28 | 71.49 | | box | 34.56 | 49.02 | | column | 52.07 | 70.37 | | signboard | 41.27 | 61.51 | | chest of drawers | 38.41 | 58.2 | | counter | 46.42 | 58.12 | | sand | 47.08 | 51.31 | | sink | 79.87 | 86.79 | | skyscraper | 65.82 | 78.2 | | fireplace | 74.38 | 89.93 | | refrigerator | 82.12 | 90.36 | | grandstand | 49.17 | 79.28 | | path | 28.44 | 43.4 | | stairs | 39.11 | 50.54 | | runway | 65.55 | 83.46 | | case | 54.27 | 73.09 | | pool table | 94.84 | 97.36 | | pillow | 67.49 | 82.77 | | screen door | 79.69 | 86.36 | | stairway | 41.57 | 46.81 | | river | 12.33 | 27.18 | | bridge | 80.96 | 92.09 | | bookcase | 28.32 | 39.86 | | blind | 39.43 | 44.14 | | coffee table | 71.53 | 86.32 | | toilet | 90.89 | 93.87 | | flower | 44.22 | 62.97 | | book | 53.61 | 82.21 | | hill | 8.85 | 15.26 | | bench | 64.17 | 75.0 | | countertop | 64.08 | 78.34 | | stove | 86.27 | 91.88 | | palm | 53.68 | 80.73 | | kitchen island | 48.65 | 82.84 | | computer | 74.0 | 81.86 | | swivel chair | 48.29 | 63.89 | | boat | 36.63 | 57.47 | | bar | 56.42 | 62.25 | | arcade machine | 74.74 | 79.58 | | hovel | 35.61 | 48.8 | | bus | 89.28 | 95.92 | | towel | 73.77 | 90.84 | | light | 64.11 | 81.67 | | truck | 39.9 | 50.53 | | tower | 23.57 | 39.38 | | chandelier | 72.07 | 89.32 | | awning | 39.95 | 55.05 | | streetlight | 46.03 | 66.29 | | booth | 60.9 | 67.38 | | television receiver | 79.22 | 89.58 | | airplane | 72.93 | 78.57 | | dirt track | 8.0 | 10.21 | | apparel | 44.86 | 69.79 | | pole | 33.13 | 50.81 | | land | 4.79 | 8.0 | | bannister | 20.95 | 36.74 | | escalator | 24.61 | 26.59 | | ottoman | 51.21 | 74.4 | | bottle | 40.69 | 67.31 | | buffet | 41.65 | 51.62 | | poster | 25.35 | 44.27 | | stage | 28.29 | 44.44 | | van | 50.65 | 72.55 | | ship | 7.93 | 14.29 | | fountain | 21.53 | 21.93 | | conveyer belt | 71.06 | 95.59 | | canopy | 23.0 | 46.64 | | washer | 70.94 | 73.04 | | plaything | 39.9 | 57.53 | | swimming pool | 66.24 | 71.31 | | stool | 49.5 | 69.57 | | barrel | 91.36 | 98.28 | | basket | 45.47 | 58.34 | | waterfall | 53.86 | 62.93 | | tent | 88.89 | 98.05 | | bag | 29.82 | 45.34 | | minibike | 73.09 | 92.05 | | cradle | 90.92 | 97.67 | | oven | 25.94 | 73.24 | | ball | 58.96 | 66.34 | | food | 67.2 | 78.23 | | step | 30.55 | 44.38 | | tank | 63.22 | 65.58 | | trade name | 21.57 | 25.48 | | microwave | 43.8 | 46.26 | | pot | 57.05 | 67.87 | | animal | 62.74 | 64.17 | | bicycle | 60.19 | 79.35 | | lake | 44.37 | 63.68 | | dishwasher | 82.32 | 88.26 | | screen | 55.91 | 88.4 | | blanket | 33.98 | 48.12 | | sculpture | 62.83 | 89.31 | | hood | 73.32 | 77.2 | | sconce | 59.42 | 75.8 | | vase | 59.14 | 74.97 | | traffic light | 45.92 | 72.38 | | tray | 18.99 | 36.61 | | ashcan | 48.73 | 71.96 | | fan | 70.56 | 84.79 | | pier | 13.99 | 14.63 | | crt screen | 3.22 | 9.5 | | plate | 63.31 | 82.35 | | monitor | 13.72 | 19.21 | | bulletin board | 57.12 | 77.58 | | shower | 13.39 | 25.98 | | radiator | 70.7 | 80.75 | | glass | 25.85 | 28.51 | | clock | 56.25 | 69.92 | | flag | 51.33 | 58.02 | +---------------------+-------+-------+ 2023-11-22 14:31:21,338 - mmseg - INFO - Summary: 2023-11-22 14:31:21,338 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.11 | 54.93 | 68.41 | +-------+-------+-------+ 2023-11-22 14:31:21,339 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 14:31:21,339 - mmseg - INFO - Iter(val) [250] aAcc: 0.8511, mIoU: 0.5493, mAcc: 0.6841, IoU.wall: 0.8071, IoU.building: 0.8399, IoU.sky: 0.9514, IoU.floor: 0.8449, IoU.tree: 0.7591, IoU.ceiling: 0.8564, IoU.road: 0.8812, IoU.bed : 0.9125, IoU.windowpane: 0.6493, IoU.grass: 0.7142, IoU.cabinet: 0.6394, IoU.sidewalk: 0.7227, IoU.person: 0.8589, IoU.earth: 0.4407, IoU.door: 0.5434, IoU.table: 0.6876, IoU.mountain: 0.5412, IoU.plant: 0.5280, IoU.curtain: 0.7530, IoU.chair: 0.6565, IoU.car: 0.8815, IoU.water: 0.5998, IoU.painting: 0.7453, IoU.sofa: 0.7709, IoU.shelf: 0.4409, IoU.house: 0.4381, IoU.sea: 0.6297, IoU.mirror: 0.7577, IoU.rug: 0.6654, IoU.field: 0.3836, IoU.armchair: 0.5259, IoU.seat: 0.6504, IoU.fence: 0.5110, IoU.desk: 0.5293, IoU.rock: 0.5298, IoU.wardrobe: 0.4668, IoU.lamp: 0.7303, IoU.bathtub: 0.7520, IoU.railing: 0.3712, IoU.cushion: 0.6780, IoU.base: 0.4528, IoU.box: 0.3456, IoU.column: 0.5207, IoU.signboard: 0.4127, IoU.chest of drawers: 0.3841, IoU.counter: 0.4642, IoU.sand: 0.4708, IoU.sink: 0.7987, IoU.skyscraper: 0.6582, IoU.fireplace: 0.7438, IoU.refrigerator: 0.8212, IoU.grandstand: 0.4917, IoU.path: 0.2844, IoU.stairs: 0.3911, IoU.runway: 0.6555, IoU.case: 0.5427, IoU.pool table: 0.9484, IoU.pillow: 0.6749, IoU.screen door: 0.7969, IoU.stairway: 0.4157, IoU.river: 0.1233, IoU.bridge: 0.8096, IoU.bookcase: 0.2832, IoU.blind: 0.3943, IoU.coffee table: 0.7153, IoU.toilet: 0.9089, IoU.flower: 0.4422, IoU.book: 0.5361, IoU.hill: 0.0885, IoU.bench: 0.6417, IoU.countertop: 0.6408, IoU.stove: 0.8627, IoU.palm: 0.5368, IoU.kitchen island: 0.4865, IoU.computer: 0.7400, IoU.swivel chair: 0.4829, IoU.boat: 0.3663, IoU.bar: 0.5642, IoU.arcade machine: 0.7474, IoU.hovel: 0.3561, IoU.bus: 0.8928, IoU.towel: 0.7377, IoU.light: 0.6411, IoU.truck: 0.3990, IoU.tower: 0.2357, IoU.chandelier: 0.7207, IoU.awning: 0.3995, IoU.streetlight: 0.4603, IoU.booth: 0.6090, IoU.television receiver: 0.7922, IoU.airplane: 0.7293, IoU.dirt track: 0.0800, IoU.apparel: 0.4486, IoU.pole: 0.3313, IoU.land: 0.0479, IoU.bannister: 0.2095, IoU.escalator: 0.2461, IoU.ottoman: 0.5121, IoU.bottle: 0.4069, IoU.buffet: 0.4165, IoU.poster: 0.2535, IoU.stage: 0.2829, IoU.van: 0.5065, IoU.ship: 0.0793, IoU.fountain: 0.2153, IoU.conveyer belt: 0.7106, IoU.canopy: 0.2300, IoU.washer: 0.7094, IoU.plaything: 0.3990, IoU.swimming pool: 0.6624, IoU.stool: 0.4950, IoU.barrel: 0.9136, IoU.basket: 0.4547, IoU.waterfall: 0.5386, IoU.tent: 0.8889, IoU.bag: 0.2982, IoU.minibike: 0.7309, IoU.cradle: 0.9092, IoU.oven: 0.2594, IoU.ball: 0.5896, IoU.food: 0.6720, IoU.step: 0.3055, IoU.tank: 0.6322, IoU.trade name: 0.2157, IoU.microwave: 0.4380, IoU.pot: 0.5705, IoU.animal: 0.6274, IoU.bicycle: 0.6019, IoU.lake: 0.4437, IoU.dishwasher: 0.8232, IoU.screen: 0.5591, IoU.blanket: 0.3398, IoU.sculpture: 0.6283, IoU.hood: 0.7332, IoU.sconce: 0.5942, IoU.vase: 0.5914, IoU.traffic light: 0.4592, IoU.tray: 0.1899, IoU.ashcan: 0.4873, IoU.fan: 0.7056, IoU.pier: 0.1399, IoU.crt screen: 0.0322, IoU.plate: 0.6331, IoU.monitor: 0.1372, IoU.bulletin board: 0.5712, IoU.shower: 0.1339, IoU.radiator: 0.7070, IoU.glass: 0.2585, IoU.clock: 0.5625, IoU.flag: 0.5133, Acc.wall: 0.8814, Acc.building: 0.9099, Acc.sky: 0.9769, Acc.floor: 0.9138, Acc.tree: 0.8860, Acc.ceiling: 0.9205, Acc.road: 0.9252, Acc.bed : 0.9487, Acc.windowpane: 0.8317, Acc.grass: 0.8419, Acc.cabinet: 0.7707, Acc.sidewalk: 0.8486, Acc.person: 0.9401, Acc.earth: 0.6365, Acc.door: 0.6978, Acc.table: 0.8433, Acc.mountain: 0.6584, Acc.plant: 0.6511, Acc.curtain: 0.8851, Acc.chair: 0.7873, Acc.car: 0.9432, Acc.water: 0.7201, Acc.painting: 0.9029, Acc.sofa: 0.8902, Acc.shelf: 0.5943, Acc.house: 0.7554, Acc.sea: 0.8364, Acc.mirror: 0.8340, Acc.rug: 0.7903, Acc.field: 0.5508, Acc.armchair: 0.6942, Acc.seat: 0.8614, Acc.fence: 0.6507, Acc.desk: 0.7558, Acc.rock: 0.7258, Acc.wardrobe: 0.6384, Acc.lamp: 0.8395, Acc.bathtub: 0.8746, Acc.railing: 0.5342, Acc.cushion: 0.7990, Acc.base: 0.7149, Acc.box: 0.4902, Acc.column: 0.7037, Acc.signboard: 0.6151, Acc.chest of drawers: 0.5820, Acc.counter: 0.5812, Acc.sand: 0.5131, Acc.sink: 0.8679, Acc.skyscraper: 0.7820, Acc.fireplace: 0.8993, Acc.refrigerator: 0.9036, Acc.grandstand: 0.7928, Acc.path: 0.4340, Acc.stairs: 0.5054, Acc.runway: 0.8346, Acc.case: 0.7309, Acc.pool table: 0.9736, Acc.pillow: 0.8277, Acc.screen door: 0.8636, Acc.stairway: 0.4681, Acc.river: 0.2718, Acc.bridge: 0.9209, Acc.bookcase: 0.3986, Acc.blind: 0.4414, Acc.coffee table: 0.8632, Acc.toilet: 0.9387, Acc.flower: 0.6297, Acc.book: 0.8221, Acc.hill: 0.1526, Acc.bench: 0.7500, Acc.countertop: 0.7834, Acc.stove: 0.9188, Acc.palm: 0.8073, Acc.kitchen island: 0.8284, Acc.computer: 0.8186, Acc.swivel chair: 0.6389, Acc.boat: 0.5747, Acc.bar: 0.6225, Acc.arcade machine: 0.7958, Acc.hovel: 0.4880, Acc.bus: 0.9592, Acc.towel: 0.9084, Acc.light: 0.8167, Acc.truck: 0.5053, Acc.tower: 0.3938, Acc.chandelier: 0.8932, Acc.awning: 0.5505, Acc.streetlight: 0.6629, Acc.booth: 0.6738, Acc.television receiver: 0.8958, Acc.airplane: 0.7857, Acc.dirt track: 0.1021, Acc.apparel: 0.6979, Acc.pole: 0.5081, Acc.land: 0.0800, Acc.bannister: 0.3674, Acc.escalator: 0.2659, Acc.ottoman: 0.7440, Acc.bottle: 0.6731, Acc.buffet: 0.5162, Acc.poster: 0.4427, Acc.stage: 0.4444, Acc.van: 0.7255, Acc.ship: 0.1429, Acc.fountain: 0.2193, Acc.conveyer belt: 0.9559, Acc.canopy: 0.4664, Acc.washer: 0.7304, Acc.plaything: 0.5753, Acc.swimming pool: 0.7131, Acc.stool: 0.6957, Acc.barrel: 0.9828, Acc.basket: 0.5834, Acc.waterfall: 0.6293, Acc.tent: 0.9805, Acc.bag: 0.4534, Acc.minibike: 0.9205, Acc.cradle: 0.9767, Acc.oven: 0.7324, Acc.ball: 0.6634, Acc.food: 0.7823, Acc.step: 0.4438, Acc.tank: 0.6558, Acc.trade name: 0.2548, Acc.microwave: 0.4626, Acc.pot: 0.6787, Acc.animal: 0.6417, Acc.bicycle: 0.7935, Acc.lake: 0.6368, Acc.dishwasher: 0.8826, Acc.screen: 0.8840, Acc.blanket: 0.4812, Acc.sculpture: 0.8931, Acc.hood: 0.7720, Acc.sconce: 0.7580, Acc.vase: 0.7497, Acc.traffic light: 0.7238, Acc.tray: 0.3661, Acc.ashcan: 0.7196, Acc.fan: 0.8479, Acc.pier: 0.1463, Acc.crt screen: 0.0950, Acc.plate: 0.8235, Acc.monitor: 0.1921, Acc.bulletin board: 0.7758, Acc.shower: 0.2598, Acc.radiator: 0.8075, Acc.glass: 0.2851, Acc.clock: 0.6992, Acc.flag: 0.5802 2023-11-22 14:31:49,630 - mmseg - INFO - Iter [106050/160000] lr: 3.212e-06, eta: 8:47:13, time: 0.953, data_time: 0.400, memory: 38143, decode.loss_cls: 0.2235, decode.loss_mask: 0.4743, decode.loss_dice: 0.7054, decode.d0.loss_cls: 1.3404, decode.d0.loss_mask: 0.5118, decode.d0.loss_dice: 0.7891, decode.d1.loss_cls: 0.3111, decode.d1.loss_mask: 0.4967, decode.d1.loss_dice: 0.7468, decode.d2.loss_cls: 0.2616, decode.d2.loss_mask: 0.4824, decode.d2.loss_dice: 0.7242, decode.d3.loss_cls: 0.2482, decode.d3.loss_mask: 0.4788, decode.d3.loss_dice: 0.7110, decode.d4.loss_cls: 0.2428, decode.d4.loss_mask: 0.4760, decode.d4.loss_dice: 0.7090, decode.d5.loss_cls: 0.2355, decode.d5.loss_mask: 0.4747, decode.d5.loss_dice: 0.7083, decode.d6.loss_cls: 0.2340, decode.d6.loss_mask: 0.4731, decode.d6.loss_dice: 0.7047, decode.d7.loss_cls: 0.2290, decode.d7.loss_mask: 0.4736, decode.d7.loss_dice: 0.7066, decode.d8.loss_cls: 0.2289, decode.d8.loss_mask: 0.4755, decode.d8.loss_dice: 0.7050, loss: 15.5822, grad_norm: 72.6872 2023-11-22 14:32:20,474 - mmseg - INFO - Iter [106100/160000] lr: 3.209e-06, eta: 8:46:44, time: 0.617, data_time: 0.060, memory: 38143, decode.loss_cls: 0.2121, decode.loss_mask: 0.4756, decode.loss_dice: 0.7058, decode.d0.loss_cls: 1.3170, decode.d0.loss_mask: 0.5109, decode.d0.loss_dice: 0.7913, decode.d1.loss_cls: 0.2944, decode.d1.loss_mask: 0.4936, decode.d1.loss_dice: 0.7371, decode.d2.loss_cls: 0.2501, decode.d2.loss_mask: 0.4850, decode.d2.loss_dice: 0.7246, decode.d3.loss_cls: 0.2314, decode.d3.loss_mask: 0.4805, decode.d3.loss_dice: 0.7097, decode.d4.loss_cls: 0.2222, decode.d4.loss_mask: 0.4786, decode.d4.loss_dice: 0.7090, decode.d5.loss_cls: 0.2220, decode.d5.loss_mask: 0.4779, decode.d5.loss_dice: 0.7065, decode.d6.loss_cls: 0.2140, decode.d6.loss_mask: 0.4766, decode.d6.loss_dice: 0.7066, decode.d7.loss_cls: 0.2169, decode.d7.loss_mask: 0.4753, decode.d7.loss_dice: 0.7040, decode.d8.loss_cls: 0.2101, decode.d8.loss_mask: 0.4740, decode.d8.loss_dice: 0.7056, loss: 15.4182, grad_norm: 69.3848 2023-11-22 14:32:49,944 - mmseg - INFO - Iter [106150/160000] lr: 3.206e-06, eta: 8:46:15, time: 0.589, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2117, decode.loss_mask: 0.4692, decode.loss_dice: 0.7063, decode.d0.loss_cls: 1.3175, decode.d0.loss_mask: 0.5016, decode.d0.loss_dice: 0.7810, decode.d1.loss_cls: 0.2937, decode.d1.loss_mask: 0.4846, decode.d1.loss_dice: 0.7412, decode.d2.loss_cls: 0.2467, decode.d2.loss_mask: 0.4772, decode.d2.loss_dice: 0.7264, decode.d3.loss_cls: 0.2303, decode.d3.loss_mask: 0.4716, decode.d3.loss_dice: 0.7146, decode.d4.loss_cls: 0.2277, decode.d4.loss_mask: 0.4680, decode.d4.loss_dice: 0.7123, decode.d5.loss_cls: 0.2213, decode.d5.loss_mask: 0.4711, decode.d5.loss_dice: 0.7091, decode.d6.loss_cls: 0.2210, decode.d6.loss_mask: 0.4681, decode.d6.loss_dice: 0.7081, decode.d7.loss_cls: 0.2178, decode.d7.loss_mask: 0.4682, decode.d7.loss_dice: 0.7096, decode.d8.loss_cls: 0.2111, decode.d8.loss_mask: 0.4692, decode.d8.loss_dice: 0.7055, loss: 15.3618, grad_norm: 65.3542 2023-11-22 14:33:20,245 - mmseg - INFO - Iter [106200/160000] lr: 3.203e-06, eta: 8:45:46, time: 0.606, data_time: 0.015, memory: 38143, decode.loss_cls: 0.2161, decode.loss_mask: 0.4710, decode.loss_dice: 0.7083, decode.d0.loss_cls: 1.3178, decode.d0.loss_mask: 0.5101, decode.d0.loss_dice: 0.7960, decode.d1.loss_cls: 0.3014, decode.d1.loss_mask: 0.4912, decode.d1.loss_dice: 0.7417, decode.d2.loss_cls: 0.2555, decode.d2.loss_mask: 0.4830, decode.d2.loss_dice: 0.7265, decode.d3.loss_cls: 0.2372, decode.d3.loss_mask: 0.4757, decode.d3.loss_dice: 0.7140, decode.d4.loss_cls: 0.2293, decode.d4.loss_mask: 0.4754, decode.d4.loss_dice: 0.7158, decode.d5.loss_cls: 0.2245, decode.d5.loss_mask: 0.4737, decode.d5.loss_dice: 0.7095, decode.d6.loss_cls: 0.2212, decode.d6.loss_mask: 0.4745, decode.d6.loss_dice: 0.7057, decode.d7.loss_cls: 0.2141, decode.d7.loss_mask: 0.4733, decode.d7.loss_dice: 0.7085, decode.d8.loss_cls: 0.2168, decode.d8.loss_mask: 0.4712, decode.d8.loss_dice: 0.7058, loss: 15.4647, grad_norm: 75.6500 2023-11-22 14:33:50,618 - mmseg - INFO - Iter [106250/160000] lr: 3.200e-06, eta: 8:45:17, time: 0.608, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2099, decode.loss_mask: 0.4704, decode.loss_dice: 0.6946, decode.d0.loss_cls: 1.3498, decode.d0.loss_mask: 0.5063, decode.d0.loss_dice: 0.7722, decode.d1.loss_cls: 0.3010, decode.d1.loss_mask: 0.4910, decode.d1.loss_dice: 0.7268, decode.d2.loss_cls: 0.2504, decode.d2.loss_mask: 0.4793, decode.d2.loss_dice: 0.7077, decode.d3.loss_cls: 0.2359, decode.d3.loss_mask: 0.4754, decode.d3.loss_dice: 0.7017, decode.d4.loss_cls: 0.2253, decode.d4.loss_mask: 0.4749, decode.d4.loss_dice: 0.6981, decode.d5.loss_cls: 0.2224, decode.d5.loss_mask: 0.4733, decode.d5.loss_dice: 0.6989, decode.d6.loss_cls: 0.2172, decode.d6.loss_mask: 0.4733, decode.d6.loss_dice: 0.6953, decode.d7.loss_cls: 0.2150, decode.d7.loss_mask: 0.4721, decode.d7.loss_dice: 0.6950, decode.d8.loss_cls: 0.2128, decode.d8.loss_mask: 0.4727, decode.d8.loss_dice: 0.6979, loss: 15.3163, grad_norm: 62.9291 2023-11-22 14:34:19,079 - mmseg - INFO - Iter [106300/160000] lr: 3.197e-06, eta: 8:44:48, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2195, decode.loss_mask: 0.4698, decode.loss_dice: 0.7178, decode.d0.loss_cls: 1.2963, decode.d0.loss_mask: 0.5016, decode.d0.loss_dice: 0.7933, decode.d1.loss_cls: 0.2943, decode.d1.loss_mask: 0.4890, decode.d1.loss_dice: 0.7512, decode.d2.loss_cls: 0.2461, decode.d2.loss_mask: 0.4778, decode.d2.loss_dice: 0.7322, decode.d3.loss_cls: 0.2340, decode.d3.loss_mask: 0.4726, decode.d3.loss_dice: 0.7166, decode.d4.loss_cls: 0.2312, decode.d4.loss_mask: 0.4712, decode.d4.loss_dice: 0.7160, decode.d5.loss_cls: 0.2266, decode.d5.loss_mask: 0.4717, decode.d5.loss_dice: 0.7176, decode.d6.loss_cls: 0.2204, decode.d6.loss_mask: 0.4715, decode.d6.loss_dice: 0.7101, decode.d7.loss_cls: 0.2196, decode.d7.loss_mask: 0.4707, decode.d7.loss_dice: 0.7095, decode.d8.loss_cls: 0.2208, decode.d8.loss_mask: 0.4706, decode.d8.loss_dice: 0.7144, loss: 15.4540, grad_norm: 68.1891 2023-11-22 14:34:47,398 - mmseg - INFO - Iter [106350/160000] lr: 3.194e-06, eta: 8:44:18, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2209, decode.loss_mask: 0.4768, decode.loss_dice: 0.6920, decode.d0.loss_cls: 1.3028, decode.d0.loss_mask: 0.5097, decode.d0.loss_dice: 0.7817, decode.d1.loss_cls: 0.2965, decode.d1.loss_mask: 0.4928, decode.d1.loss_dice: 0.7275, decode.d2.loss_cls: 0.2604, decode.d2.loss_mask: 0.4842, decode.d2.loss_dice: 0.7143, decode.d3.loss_cls: 0.2410, decode.d3.loss_mask: 0.4790, decode.d3.loss_dice: 0.6993, decode.d4.loss_cls: 0.2397, decode.d4.loss_mask: 0.4782, decode.d4.loss_dice: 0.6979, decode.d5.loss_cls: 0.2307, decode.d5.loss_mask: 0.4775, decode.d5.loss_dice: 0.6984, decode.d6.loss_cls: 0.2219, decode.d6.loss_mask: 0.4806, decode.d6.loss_dice: 0.6975, decode.d7.loss_cls: 0.2208, decode.d7.loss_mask: 0.4782, decode.d7.loss_dice: 0.6949, decode.d8.loss_cls: 0.2222, decode.d8.loss_mask: 0.4783, decode.d8.loss_dice: 0.6953, loss: 15.3912, grad_norm: 72.4276 2023-11-22 14:35:15,770 - mmseg - INFO - Iter [106400/160000] lr: 3.191e-06, eta: 8:43:48, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2064, decode.loss_mask: 0.4794, decode.loss_dice: 0.7200, decode.d0.loss_cls: 1.2847, decode.d0.loss_mask: 0.5162, decode.d0.loss_dice: 0.7907, decode.d1.loss_cls: 0.2902, decode.d1.loss_mask: 0.4973, decode.d1.loss_dice: 0.7474, decode.d2.loss_cls: 0.2456, decode.d2.loss_mask: 0.4892, decode.d2.loss_dice: 0.7349, decode.d3.loss_cls: 0.2270, decode.d3.loss_mask: 0.4853, decode.d3.loss_dice: 0.7211, decode.d4.loss_cls: 0.2176, decode.d4.loss_mask: 0.4869, decode.d4.loss_dice: 0.7220, decode.d5.loss_cls: 0.2144, decode.d5.loss_mask: 0.4838, decode.d5.loss_dice: 0.7198, decode.d6.loss_cls: 0.2153, decode.d6.loss_mask: 0.4802, decode.d6.loss_dice: 0.7151, decode.d7.loss_cls: 0.2101, decode.d7.loss_mask: 0.4813, decode.d7.loss_dice: 0.7183, decode.d8.loss_cls: 0.2102, decode.d8.loss_mask: 0.4805, decode.d8.loss_dice: 0.7176, loss: 15.5083, grad_norm: 75.0732 2023-11-22 14:35:44,477 - mmseg - INFO - Iter [106450/160000] lr: 3.188e-06, eta: 8:43:18, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2177, decode.loss_mask: 0.4719, decode.loss_dice: 0.7177, decode.d0.loss_cls: 1.3037, decode.d0.loss_mask: 0.5080, decode.d0.loss_dice: 0.7960, decode.d1.loss_cls: 0.2913, decode.d1.loss_mask: 0.4907, decode.d1.loss_dice: 0.7623, decode.d2.loss_cls: 0.2548, decode.d2.loss_mask: 0.4808, decode.d2.loss_dice: 0.7389, decode.d3.loss_cls: 0.2343, decode.d3.loss_mask: 0.4753, decode.d3.loss_dice: 0.7234, decode.d4.loss_cls: 0.2283, decode.d4.loss_mask: 0.4735, decode.d4.loss_dice: 0.7239, decode.d5.loss_cls: 0.2219, decode.d5.loss_mask: 0.4733, decode.d5.loss_dice: 0.7240, decode.d6.loss_cls: 0.2236, decode.d6.loss_mask: 0.4733, decode.d6.loss_dice: 0.7184, decode.d7.loss_cls: 0.2191, decode.d7.loss_mask: 0.4706, decode.d7.loss_dice: 0.7201, decode.d8.loss_cls: 0.2199, decode.d8.loss_mask: 0.4716, decode.d8.loss_dice: 0.7143, loss: 15.5426, grad_norm: 74.0058 2023-11-22 14:36:12,881 - mmseg - INFO - Iter [106500/160000] lr: 3.185e-06, eta: 8:42:49, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2124, decode.loss_mask: 0.4800, decode.loss_dice: 0.7117, decode.d0.loss_cls: 1.3227, decode.d0.loss_mask: 0.5144, decode.d0.loss_dice: 0.7959, decode.d1.loss_cls: 0.2903, decode.d1.loss_mask: 0.4966, decode.d1.loss_dice: 0.7475, decode.d2.loss_cls: 0.2516, decode.d2.loss_mask: 0.4877, decode.d2.loss_dice: 0.7347, decode.d3.loss_cls: 0.2308, decode.d3.loss_mask: 0.4829, decode.d3.loss_dice: 0.7170, decode.d4.loss_cls: 0.2213, decode.d4.loss_mask: 0.4815, decode.d4.loss_dice: 0.7172, decode.d5.loss_cls: 0.2159, decode.d5.loss_mask: 0.4816, decode.d5.loss_dice: 0.7201, decode.d6.loss_cls: 0.2127, decode.d6.loss_mask: 0.4812, decode.d6.loss_dice: 0.7192, decode.d7.loss_cls: 0.2123, decode.d7.loss_mask: 0.4797, decode.d7.loss_dice: 0.7174, decode.d8.loss_cls: 0.2098, decode.d8.loss_mask: 0.4786, decode.d8.loss_dice: 0.7151, loss: 15.5397, grad_norm: 74.1593 2023-11-22 14:36:41,294 - mmseg - INFO - Iter [106550/160000] lr: 3.182e-06, eta: 8:42:19, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2217, decode.loss_mask: 0.4717, decode.loss_dice: 0.7130, decode.d0.loss_cls: 1.3306, decode.d0.loss_mask: 0.5094, decode.d0.loss_dice: 0.7934, decode.d1.loss_cls: 0.3056, decode.d1.loss_mask: 0.4898, decode.d1.loss_dice: 0.7442, decode.d2.loss_cls: 0.2555, decode.d2.loss_mask: 0.4840, decode.d2.loss_dice: 0.7275, decode.d3.loss_cls: 0.2394, decode.d3.loss_mask: 0.4755, decode.d3.loss_dice: 0.7128, decode.d4.loss_cls: 0.2347, decode.d4.loss_mask: 0.4748, decode.d4.loss_dice: 0.7114, decode.d5.loss_cls: 0.2332, decode.d5.loss_mask: 0.4723, decode.d5.loss_dice: 0.7104, decode.d6.loss_cls: 0.2262, decode.d6.loss_mask: 0.4720, decode.d6.loss_dice: 0.7137, decode.d7.loss_cls: 0.2214, decode.d7.loss_mask: 0.4716, decode.d7.loss_dice: 0.7145, decode.d8.loss_cls: 0.2216, decode.d8.loss_mask: 0.4717, decode.d8.loss_dice: 0.7134, loss: 15.5369, grad_norm: 71.3571 2023-11-22 14:37:09,609 - mmseg - INFO - Iter [106600/160000] lr: 3.179e-06, eta: 8:41:49, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2189, decode.loss_mask: 0.4750, decode.loss_dice: 0.7113, decode.d0.loss_cls: 1.3324, decode.d0.loss_mask: 0.5106, decode.d0.loss_dice: 0.7923, decode.d1.loss_cls: 0.2998, decode.d1.loss_mask: 0.4889, decode.d1.loss_dice: 0.7499, decode.d2.loss_cls: 0.2525, decode.d2.loss_mask: 0.4795, decode.d2.loss_dice: 0.7254, decode.d3.loss_cls: 0.2346, decode.d3.loss_mask: 0.4769, decode.d3.loss_dice: 0.7184, decode.d4.loss_cls: 0.2312, decode.d4.loss_mask: 0.4760, decode.d4.loss_dice: 0.7113, decode.d5.loss_cls: 0.2227, decode.d5.loss_mask: 0.4756, decode.d5.loss_dice: 0.7130, decode.d6.loss_cls: 0.2218, decode.d6.loss_mask: 0.4733, decode.d6.loss_dice: 0.7098, decode.d7.loss_cls: 0.2181, decode.d7.loss_mask: 0.4732, decode.d7.loss_dice: 0.7129, decode.d8.loss_cls: 0.2197, decode.d8.loss_mask: 0.4742, decode.d8.loss_dice: 0.7120, loss: 15.5111, grad_norm: 65.7620 2023-11-22 14:37:38,082 - mmseg - INFO - Iter [106650/160000] lr: 3.176e-06, eta: 8:41:19, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2286, decode.loss_mask: 0.4714, decode.loss_dice: 0.7198, decode.d0.loss_cls: 1.3063, decode.d0.loss_mask: 0.5010, decode.d0.loss_dice: 0.7969, decode.d1.loss_cls: 0.3055, decode.d1.loss_mask: 0.4909, decode.d1.loss_dice: 0.7526, decode.d2.loss_cls: 0.2552, decode.d2.loss_mask: 0.4812, decode.d2.loss_dice: 0.7386, decode.d3.loss_cls: 0.2461, decode.d3.loss_mask: 0.4751, decode.d3.loss_dice: 0.7257, decode.d4.loss_cls: 0.2349, decode.d4.loss_mask: 0.4734, decode.d4.loss_dice: 0.7206, decode.d5.loss_cls: 0.2366, decode.d5.loss_mask: 0.4729, decode.d5.loss_dice: 0.7186, decode.d6.loss_cls: 0.2367, decode.d6.loss_mask: 0.4711, decode.d6.loss_dice: 0.7206, decode.d7.loss_cls: 0.2341, decode.d7.loss_mask: 0.4717, decode.d7.loss_dice: 0.7166, decode.d8.loss_cls: 0.2333, decode.d8.loss_mask: 0.4706, decode.d8.loss_dice: 0.7206, loss: 15.6270, grad_norm: 68.0180 2023-11-22 14:38:06,626 - mmseg - INFO - Iter [106700/160000] lr: 3.173e-06, eta: 8:40:50, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2129, decode.loss_mask: 0.4732, decode.loss_dice: 0.7173, decode.d0.loss_cls: 1.3240, decode.d0.loss_mask: 0.5104, decode.d0.loss_dice: 0.8000, decode.d1.loss_cls: 0.2850, decode.d1.loss_mask: 0.4926, decode.d1.loss_dice: 0.7612, decode.d2.loss_cls: 0.2467, decode.d2.loss_mask: 0.4818, decode.d2.loss_dice: 0.7350, decode.d3.loss_cls: 0.2279, decode.d3.loss_mask: 0.4778, decode.d3.loss_dice: 0.7229, decode.d4.loss_cls: 0.2215, decode.d4.loss_mask: 0.4764, decode.d4.loss_dice: 0.7233, decode.d5.loss_cls: 0.2177, decode.d5.loss_mask: 0.4760, decode.d5.loss_dice: 0.7146, decode.d6.loss_cls: 0.2202, decode.d6.loss_mask: 0.4733, decode.d6.loss_dice: 0.7159, decode.d7.loss_cls: 0.2152, decode.d7.loss_mask: 0.4736, decode.d7.loss_dice: 0.7171, decode.d8.loss_cls: 0.2148, decode.d8.loss_mask: 0.4738, decode.d8.loss_dice: 0.7204, loss: 15.5226, grad_norm: 64.7592 2023-11-22 14:38:35,276 - mmseg - INFO - Iter [106750/160000] lr: 3.170e-06, eta: 8:40:20, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2159, decode.loss_mask: 0.4676, decode.loss_dice: 0.7212, decode.d0.loss_cls: 1.3420, decode.d0.loss_mask: 0.4993, decode.d0.loss_dice: 0.7922, decode.d1.loss_cls: 0.3035, decode.d1.loss_mask: 0.4826, decode.d1.loss_dice: 0.7505, decode.d2.loss_cls: 0.2427, decode.d2.loss_mask: 0.4781, decode.d2.loss_dice: 0.7393, decode.d3.loss_cls: 0.2308, decode.d3.loss_mask: 0.4722, decode.d3.loss_dice: 0.7261, decode.d4.loss_cls: 0.2255, decode.d4.loss_mask: 0.4707, decode.d4.loss_dice: 0.7265, decode.d5.loss_cls: 0.2206, decode.d5.loss_mask: 0.4726, decode.d5.loss_dice: 0.7277, decode.d6.loss_cls: 0.2241, decode.d6.loss_mask: 0.4690, decode.d6.loss_dice: 0.7242, decode.d7.loss_cls: 0.2151, decode.d7.loss_mask: 0.4697, decode.d7.loss_dice: 0.7252, decode.d8.loss_cls: 0.2154, decode.d8.loss_mask: 0.4682, decode.d8.loss_dice: 0.7231, loss: 15.5416, grad_norm: 67.9135 2023-11-22 14:39:03,494 - mmseg - INFO - Iter [106800/160000] lr: 3.167e-06, eta: 8:39:50, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2034, decode.loss_mask: 0.4671, decode.loss_dice: 0.6986, decode.d0.loss_cls: 1.3086, decode.d0.loss_mask: 0.4974, decode.d0.loss_dice: 0.7722, decode.d1.loss_cls: 0.2857, decode.d1.loss_mask: 0.4882, decode.d1.loss_dice: 0.7337, decode.d2.loss_cls: 0.2490, decode.d2.loss_mask: 0.4772, decode.d2.loss_dice: 0.7181, decode.d3.loss_cls: 0.2264, decode.d3.loss_mask: 0.4746, decode.d3.loss_dice: 0.7025, decode.d4.loss_cls: 0.2228, decode.d4.loss_mask: 0.4717, decode.d4.loss_dice: 0.6991, decode.d5.loss_cls: 0.2145, decode.d5.loss_mask: 0.4702, decode.d5.loss_dice: 0.7006, decode.d6.loss_cls: 0.2135, decode.d6.loss_mask: 0.4691, decode.d6.loss_dice: 0.6999, decode.d7.loss_cls: 0.2116, decode.d7.loss_mask: 0.4682, decode.d7.loss_dice: 0.6962, decode.d8.loss_cls: 0.2110, decode.d8.loss_mask: 0.4668, decode.d8.loss_dice: 0.7005, loss: 15.2181, grad_norm: 66.4254 2023-11-22 14:39:31,838 - mmseg - INFO - Iter [106850/160000] lr: 3.164e-06, eta: 8:39:20, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2084, decode.loss_mask: 0.4562, decode.loss_dice: 0.6789, decode.d0.loss_cls: 1.3235, decode.d0.loss_mask: 0.4870, decode.d0.loss_dice: 0.7547, decode.d1.loss_cls: 0.2934, decode.d1.loss_mask: 0.4771, decode.d1.loss_dice: 0.7166, decode.d2.loss_cls: 0.2461, decode.d2.loss_mask: 0.4645, decode.d2.loss_dice: 0.6935, decode.d3.loss_cls: 0.2272, decode.d3.loss_mask: 0.4599, decode.d3.loss_dice: 0.6814, decode.d4.loss_cls: 0.2208, decode.d4.loss_mask: 0.4588, decode.d4.loss_dice: 0.6774, decode.d5.loss_cls: 0.2189, decode.d5.loss_mask: 0.4581, decode.d5.loss_dice: 0.6801, decode.d6.loss_cls: 0.2150, decode.d6.loss_mask: 0.4569, decode.d6.loss_dice: 0.6756, decode.d7.loss_cls: 0.2127, decode.d7.loss_mask: 0.4585, decode.d7.loss_dice: 0.6755, decode.d8.loss_cls: 0.2087, decode.d8.loss_mask: 0.4577, decode.d8.loss_dice: 0.6763, loss: 14.9195, grad_norm: 73.0592 2023-11-22 14:40:00,309 - mmseg - INFO - Iter [106900/160000] lr: 3.161e-06, eta: 8:38:51, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2198, decode.loss_mask: 0.4659, decode.loss_dice: 0.7066, decode.d0.loss_cls: 1.3055, decode.d0.loss_mask: 0.5023, decode.d0.loss_dice: 0.7860, decode.d1.loss_cls: 0.3043, decode.d1.loss_mask: 0.4825, decode.d1.loss_dice: 0.7406, decode.d2.loss_cls: 0.2524, decode.d2.loss_mask: 0.4741, decode.d2.loss_dice: 0.7254, decode.d3.loss_cls: 0.2359, decode.d3.loss_mask: 0.4693, decode.d3.loss_dice: 0.7145, decode.d4.loss_cls: 0.2274, decode.d4.loss_mask: 0.4678, decode.d4.loss_dice: 0.7102, decode.d5.loss_cls: 0.2275, decode.d5.loss_mask: 0.4675, decode.d5.loss_dice: 0.7159, decode.d6.loss_cls: 0.2237, decode.d6.loss_mask: 0.4657, decode.d6.loss_dice: 0.7059, decode.d7.loss_cls: 0.2228, decode.d7.loss_mask: 0.4651, decode.d7.loss_dice: 0.7082, decode.d8.loss_cls: 0.2199, decode.d8.loss_mask: 0.4652, decode.d8.loss_dice: 0.7100, loss: 15.3880, grad_norm: 75.1167 2023-11-22 14:40:28,767 - mmseg - INFO - Iter [106950/160000] lr: 3.158e-06, eta: 8:38:21, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1986, decode.loss_mask: 0.4499, decode.loss_dice: 0.6769, decode.d0.loss_cls: 1.3369, decode.d0.loss_mask: 0.4822, decode.d0.loss_dice: 0.7621, decode.d1.loss_cls: 0.2909, decode.d1.loss_mask: 0.4630, decode.d1.loss_dice: 0.7194, decode.d2.loss_cls: 0.2393, decode.d2.loss_mask: 0.4550, decode.d2.loss_dice: 0.6990, decode.d3.loss_cls: 0.2199, decode.d3.loss_mask: 0.4520, decode.d3.loss_dice: 0.6824, decode.d4.loss_cls: 0.2144, decode.d4.loss_mask: 0.4515, decode.d4.loss_dice: 0.6868, decode.d5.loss_cls: 0.2086, decode.d5.loss_mask: 0.4501, decode.d5.loss_dice: 0.6819, decode.d6.loss_cls: 0.2071, decode.d6.loss_mask: 0.4494, decode.d6.loss_dice: 0.6733, decode.d7.loss_cls: 0.2021, decode.d7.loss_mask: 0.4499, decode.d7.loss_dice: 0.6786, decode.d8.loss_cls: 0.2008, decode.d8.loss_mask: 0.4494, decode.d8.loss_dice: 0.6779, loss: 14.8096, grad_norm: 68.2634 2023-11-22 14:40:57,105 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 14:40:57,105 - mmseg - INFO - Iter [107000/160000] lr: 3.155e-06, eta: 8:37:51, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2107, decode.loss_mask: 0.4689, decode.loss_dice: 0.7088, decode.d0.loss_cls: 1.3200, decode.d0.loss_mask: 0.5061, decode.d0.loss_dice: 0.7808, decode.d1.loss_cls: 0.2871, decode.d1.loss_mask: 0.4907, decode.d1.loss_dice: 0.7477, decode.d2.loss_cls: 0.2370, decode.d2.loss_mask: 0.4798, decode.d2.loss_dice: 0.7360, decode.d3.loss_cls: 0.2293, decode.d3.loss_mask: 0.4724, decode.d3.loss_dice: 0.7167, decode.d4.loss_cls: 0.2200, decode.d4.loss_mask: 0.4719, decode.d4.loss_dice: 0.7154, decode.d5.loss_cls: 0.2170, decode.d5.loss_mask: 0.4720, decode.d5.loss_dice: 0.7151, decode.d6.loss_cls: 0.2130, decode.d6.loss_mask: 0.4694, decode.d6.loss_dice: 0.7106, decode.d7.loss_cls: 0.2075, decode.d7.loss_mask: 0.4684, decode.d7.loss_dice: 0.7134, decode.d8.loss_cls: 0.2090, decode.d8.loss_mask: 0.4705, decode.d8.loss_dice: 0.7095, loss: 15.3748, grad_norm: 75.8334 2023-11-22 14:41:25,668 - mmseg - INFO - Iter [107050/160000] lr: 3.152e-06, eta: 8:37:21, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2169, decode.loss_mask: 0.4704, decode.loss_dice: 0.7124, decode.d0.loss_cls: 1.3333, decode.d0.loss_mask: 0.5039, decode.d0.loss_dice: 0.7889, decode.d1.loss_cls: 0.3047, decode.d1.loss_mask: 0.4894, decode.d1.loss_dice: 0.7458, decode.d2.loss_cls: 0.2615, decode.d2.loss_mask: 0.4770, decode.d2.loss_dice: 0.7234, decode.d3.loss_cls: 0.2368, decode.d3.loss_mask: 0.4720, decode.d3.loss_dice: 0.7132, decode.d4.loss_cls: 0.2326, decode.d4.loss_mask: 0.4705, decode.d4.loss_dice: 0.7136, decode.d5.loss_cls: 0.2215, decode.d5.loss_mask: 0.4707, decode.d5.loss_dice: 0.7141, decode.d6.loss_cls: 0.2266, decode.d6.loss_mask: 0.4683, decode.d6.loss_dice: 0.7092, decode.d7.loss_cls: 0.2192, decode.d7.loss_mask: 0.4684, decode.d7.loss_dice: 0.7092, decode.d8.loss_cls: 0.2154, decode.d8.loss_mask: 0.4686, decode.d8.loss_dice: 0.7097, loss: 15.4672, grad_norm: 76.8239 2023-11-22 14:41:53,959 - mmseg - INFO - Iter [107100/160000] lr: 3.149e-06, eta: 8:36:51, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2127, decode.loss_mask: 0.4754, decode.loss_dice: 0.7238, decode.d0.loss_cls: 1.2944, decode.d0.loss_mask: 0.5098, decode.d0.loss_dice: 0.8101, decode.d1.loss_cls: 0.2797, decode.d1.loss_mask: 0.4945, decode.d1.loss_dice: 0.7653, decode.d2.loss_cls: 0.2408, decode.d2.loss_mask: 0.4829, decode.d2.loss_dice: 0.7436, decode.d3.loss_cls: 0.2315, decode.d3.loss_mask: 0.4792, decode.d3.loss_dice: 0.7260, decode.d4.loss_cls: 0.2228, decode.d4.loss_mask: 0.4786, decode.d4.loss_dice: 0.7289, decode.d5.loss_cls: 0.2153, decode.d5.loss_mask: 0.4768, decode.d5.loss_dice: 0.7258, decode.d6.loss_cls: 0.2137, decode.d6.loss_mask: 0.4769, decode.d6.loss_dice: 0.7259, decode.d7.loss_cls: 0.2115, decode.d7.loss_mask: 0.4745, decode.d7.loss_dice: 0.7202, decode.d8.loss_cls: 0.2176, decode.d8.loss_mask: 0.4741, decode.d8.loss_dice: 0.7218, loss: 15.5541, grad_norm: 72.5368 2023-11-22 14:42:22,208 - mmseg - INFO - Iter [107150/160000] lr: 3.146e-06, eta: 8:36:22, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2168, decode.loss_mask: 0.4651, decode.loss_dice: 0.7022, decode.d0.loss_cls: 1.3390, decode.d0.loss_mask: 0.4981, decode.d0.loss_dice: 0.7938, decode.d1.loss_cls: 0.3015, decode.d1.loss_mask: 0.4809, decode.d1.loss_dice: 0.7460, decode.d2.loss_cls: 0.2509, decode.d2.loss_mask: 0.4714, decode.d2.loss_dice: 0.7206, decode.d3.loss_cls: 0.2282, decode.d3.loss_mask: 0.4700, decode.d3.loss_dice: 0.7059, decode.d4.loss_cls: 0.2236, decode.d4.loss_mask: 0.4682, decode.d4.loss_dice: 0.7050, decode.d5.loss_cls: 0.2204, decode.d5.loss_mask: 0.4668, decode.d5.loss_dice: 0.7054, decode.d6.loss_cls: 0.2212, decode.d6.loss_mask: 0.4657, decode.d6.loss_dice: 0.7027, decode.d7.loss_cls: 0.2145, decode.d7.loss_mask: 0.4655, decode.d7.loss_dice: 0.7011, decode.d8.loss_cls: 0.2174, decode.d8.loss_mask: 0.4658, decode.d8.loss_dice: 0.7003, loss: 15.3338, grad_norm: 70.8038 2023-11-22 14:42:50,697 - mmseg - INFO - Iter [107200/160000] lr: 3.143e-06, eta: 8:35:52, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2319, decode.loss_mask: 0.4863, decode.loss_dice: 0.7293, decode.d0.loss_cls: 1.3514, decode.d0.loss_mask: 0.5212, decode.d0.loss_dice: 0.8147, decode.d1.loss_cls: 0.3086, decode.d1.loss_mask: 0.5056, decode.d1.loss_dice: 0.7718, decode.d2.loss_cls: 0.2619, decode.d2.loss_mask: 0.4941, decode.d2.loss_dice: 0.7468, decode.d3.loss_cls: 0.2561, decode.d3.loss_mask: 0.4899, decode.d3.loss_dice: 0.7311, decode.d4.loss_cls: 0.2397, decode.d4.loss_mask: 0.4880, decode.d4.loss_dice: 0.7337, decode.d5.loss_cls: 0.2420, decode.d5.loss_mask: 0.4875, decode.d5.loss_dice: 0.7333, decode.d6.loss_cls: 0.2345, decode.d6.loss_mask: 0.4862, decode.d6.loss_dice: 0.7271, decode.d7.loss_cls: 0.2315, decode.d7.loss_mask: 0.4870, decode.d7.loss_dice: 0.7302, decode.d8.loss_cls: 0.2286, decode.d8.loss_mask: 0.4871, decode.d8.loss_dice: 0.7294, loss: 15.9665, grad_norm: 69.8581 2023-11-22 14:43:18,877 - mmseg - INFO - Iter [107250/160000] lr: 3.140e-06, eta: 8:35:22, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2149, decode.loss_mask: 0.4644, decode.loss_dice: 0.6868, decode.d0.loss_cls: 1.3163, decode.d0.loss_mask: 0.4970, decode.d0.loss_dice: 0.7646, decode.d1.loss_cls: 0.2946, decode.d1.loss_mask: 0.4850, decode.d1.loss_dice: 0.7306, decode.d2.loss_cls: 0.2500, decode.d2.loss_mask: 0.4739, decode.d2.loss_dice: 0.7058, decode.d3.loss_cls: 0.2303, decode.d3.loss_mask: 0.4699, decode.d3.loss_dice: 0.6966, decode.d4.loss_cls: 0.2224, decode.d4.loss_mask: 0.4686, decode.d4.loss_dice: 0.6998, decode.d5.loss_cls: 0.2187, decode.d5.loss_mask: 0.4670, decode.d5.loss_dice: 0.6926, decode.d6.loss_cls: 0.2198, decode.d6.loss_mask: 0.4652, decode.d6.loss_dice: 0.6881, decode.d7.loss_cls: 0.2129, decode.d7.loss_mask: 0.4656, decode.d7.loss_dice: 0.6903, decode.d8.loss_cls: 0.2150, decode.d8.loss_mask: 0.4668, decode.d8.loss_dice: 0.6909, loss: 15.1643, grad_norm: 74.2865 2023-11-22 14:43:47,308 - mmseg - INFO - Iter [107300/160000] lr: 3.137e-06, eta: 8:34:52, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2074, decode.loss_mask: 0.4920, decode.loss_dice: 0.7115, decode.d0.loss_cls: 1.3087, decode.d0.loss_mask: 0.5239, decode.d0.loss_dice: 0.7904, decode.d1.loss_cls: 0.2802, decode.d1.loss_mask: 0.5105, decode.d1.loss_dice: 0.7542, decode.d2.loss_cls: 0.2351, decode.d2.loss_mask: 0.4990, decode.d2.loss_dice: 0.7347, decode.d3.loss_cls: 0.2233, decode.d3.loss_mask: 0.4952, decode.d3.loss_dice: 0.7221, decode.d4.loss_cls: 0.2164, decode.d4.loss_mask: 0.4939, decode.d4.loss_dice: 0.7203, decode.d5.loss_cls: 0.2190, decode.d5.loss_mask: 0.4934, decode.d5.loss_dice: 0.7170, decode.d6.loss_cls: 0.2121, decode.d6.loss_mask: 0.4918, decode.d6.loss_dice: 0.7142, decode.d7.loss_cls: 0.2101, decode.d7.loss_mask: 0.4906, decode.d7.loss_dice: 0.7164, decode.d8.loss_cls: 0.2094, decode.d8.loss_mask: 0.4914, decode.d8.loss_dice: 0.7161, loss: 15.6003, grad_norm: 69.9732 2023-11-22 14:44:16,178 - mmseg - INFO - Iter [107350/160000] lr: 3.134e-06, eta: 8:34:23, time: 0.577, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2222, decode.loss_mask: 0.4711, decode.loss_dice: 0.7008, decode.d0.loss_cls: 1.3204, decode.d0.loss_mask: 0.5042, decode.d0.loss_dice: 0.7779, decode.d1.loss_cls: 0.2894, decode.d1.loss_mask: 0.4875, decode.d1.loss_dice: 0.7360, decode.d2.loss_cls: 0.2460, decode.d2.loss_mask: 0.4800, decode.d2.loss_dice: 0.7172, decode.d3.loss_cls: 0.2319, decode.d3.loss_mask: 0.4743, decode.d3.loss_dice: 0.7070, decode.d4.loss_cls: 0.2288, decode.d4.loss_mask: 0.4748, decode.d4.loss_dice: 0.7070, decode.d5.loss_cls: 0.2276, decode.d5.loss_mask: 0.4730, decode.d5.loss_dice: 0.7032, decode.d6.loss_cls: 0.2266, decode.d6.loss_mask: 0.4710, decode.d6.loss_dice: 0.6983, decode.d7.loss_cls: 0.2192, decode.d7.loss_mask: 0.4717, decode.d7.loss_dice: 0.7007, decode.d8.loss_cls: 0.2196, decode.d8.loss_mask: 0.4713, decode.d8.loss_dice: 0.7024, loss: 15.3612, grad_norm: 72.2278 2023-11-22 14:44:46,985 - mmseg - INFO - Iter [107400/160000] lr: 3.131e-06, eta: 8:33:54, time: 0.616, data_time: 0.059, memory: 38143, decode.loss_cls: 0.2090, decode.loss_mask: 0.4599, decode.loss_dice: 0.7114, decode.d0.loss_cls: 1.2550, decode.d0.loss_mask: 0.4961, decode.d0.loss_dice: 0.7886, decode.d1.loss_cls: 0.2862, decode.d1.loss_mask: 0.4776, decode.d1.loss_dice: 0.7503, decode.d2.loss_cls: 0.2436, decode.d2.loss_mask: 0.4650, decode.d2.loss_dice: 0.7307, decode.d3.loss_cls: 0.2301, decode.d3.loss_mask: 0.4635, decode.d3.loss_dice: 0.7195, decode.d4.loss_cls: 0.2194, decode.d4.loss_mask: 0.4615, decode.d4.loss_dice: 0.7171, decode.d5.loss_cls: 0.2186, decode.d5.loss_mask: 0.4591, decode.d5.loss_dice: 0.7153, decode.d6.loss_cls: 0.2139, decode.d6.loss_mask: 0.4616, decode.d6.loss_dice: 0.7097, decode.d7.loss_cls: 0.2134, decode.d7.loss_mask: 0.4595, decode.d7.loss_dice: 0.7138, decode.d8.loss_cls: 0.2117, decode.d8.loss_mask: 0.4602, decode.d8.loss_dice: 0.7179, loss: 15.2391, grad_norm: 64.7523 2023-11-22 14:45:15,362 - mmseg - INFO - Iter [107450/160000] lr: 3.128e-06, eta: 8:33:24, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1972, decode.loss_mask: 0.4733, decode.loss_dice: 0.6969, decode.d0.loss_cls: 1.3124, decode.d0.loss_mask: 0.5075, decode.d0.loss_dice: 0.7740, decode.d1.loss_cls: 0.2783, decode.d1.loss_mask: 0.4932, decode.d1.loss_dice: 0.7289, decode.d2.loss_cls: 0.2314, decode.d2.loss_mask: 0.4797, decode.d2.loss_dice: 0.7169, decode.d3.loss_cls: 0.2147, decode.d3.loss_mask: 0.4755, decode.d3.loss_dice: 0.7024, decode.d4.loss_cls: 0.2085, decode.d4.loss_mask: 0.4760, decode.d4.loss_dice: 0.6985, decode.d5.loss_cls: 0.2033, decode.d5.loss_mask: 0.4737, decode.d5.loss_dice: 0.6979, decode.d6.loss_cls: 0.1981, decode.d6.loss_mask: 0.4734, decode.d6.loss_dice: 0.6975, decode.d7.loss_cls: 0.2013, decode.d7.loss_mask: 0.4732, decode.d7.loss_dice: 0.6965, decode.d8.loss_cls: 0.1976, decode.d8.loss_mask: 0.4723, decode.d8.loss_dice: 0.6980, loss: 15.1481, grad_norm: 73.9543 2023-11-22 14:45:43,866 - mmseg - INFO - Iter [107500/160000] lr: 3.125e-06, eta: 8:32:55, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2009, decode.loss_mask: 0.4667, decode.loss_dice: 0.6976, decode.d0.loss_cls: 1.3125, decode.d0.loss_mask: 0.4950, decode.d0.loss_dice: 0.7715, decode.d1.loss_cls: 0.2800, decode.d1.loss_mask: 0.4851, decode.d1.loss_dice: 0.7388, decode.d2.loss_cls: 0.2380, decode.d2.loss_mask: 0.4742, decode.d2.loss_dice: 0.7175, decode.d3.loss_cls: 0.2149, decode.d3.loss_mask: 0.4705, decode.d3.loss_dice: 0.7031, decode.d4.loss_cls: 0.2114, decode.d4.loss_mask: 0.4698, decode.d4.loss_dice: 0.7044, decode.d5.loss_cls: 0.2078, decode.d5.loss_mask: 0.4689, decode.d5.loss_dice: 0.7028, decode.d6.loss_cls: 0.1990, decode.d6.loss_mask: 0.4659, decode.d6.loss_dice: 0.6991, decode.d7.loss_cls: 0.2024, decode.d7.loss_mask: 0.4667, decode.d7.loss_dice: 0.6994, decode.d8.loss_cls: 0.2028, decode.d8.loss_mask: 0.4653, decode.d8.loss_dice: 0.6931, loss: 15.1250, grad_norm: 71.7705 2023-11-22 14:46:12,299 - mmseg - INFO - Iter [107550/160000] lr: 3.122e-06, eta: 8:32:25, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2143, decode.loss_mask: 0.4502, decode.loss_dice: 0.6811, decode.d0.loss_cls: 1.3063, decode.d0.loss_mask: 0.4839, decode.d0.loss_dice: 0.7672, decode.d1.loss_cls: 0.2801, decode.d1.loss_mask: 0.4671, decode.d1.loss_dice: 0.7218, decode.d2.loss_cls: 0.2364, decode.d2.loss_mask: 0.4581, decode.d2.loss_dice: 0.7033, decode.d3.loss_cls: 0.2241, decode.d3.loss_mask: 0.4530, decode.d3.loss_dice: 0.6857, decode.d4.loss_cls: 0.2189, decode.d4.loss_mask: 0.4518, decode.d4.loss_dice: 0.6879, decode.d5.loss_cls: 0.2194, decode.d5.loss_mask: 0.4504, decode.d5.loss_dice: 0.6872, decode.d6.loss_cls: 0.2157, decode.d6.loss_mask: 0.4493, decode.d6.loss_dice: 0.6853, decode.d7.loss_cls: 0.2185, decode.d7.loss_mask: 0.4495, decode.d7.loss_dice: 0.6810, decode.d8.loss_cls: 0.2116, decode.d8.loss_mask: 0.4491, decode.d8.loss_dice: 0.6824, loss: 14.8905, grad_norm: 66.7164 2023-11-22 14:46:41,090 - mmseg - INFO - Iter [107600/160000] lr: 3.119e-06, eta: 8:31:55, time: 0.576, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2279, decode.loss_mask: 0.4656, decode.loss_dice: 0.7130, decode.d0.loss_cls: 1.3324, decode.d0.loss_mask: 0.4972, decode.d0.loss_dice: 0.8023, decode.d1.loss_cls: 0.3150, decode.d1.loss_mask: 0.4812, decode.d1.loss_dice: 0.7482, decode.d2.loss_cls: 0.2614, decode.d2.loss_mask: 0.4752, decode.d2.loss_dice: 0.7358, decode.d3.loss_cls: 0.2413, decode.d3.loss_mask: 0.4713, decode.d3.loss_dice: 0.7238, decode.d4.loss_cls: 0.2381, decode.d4.loss_mask: 0.4683, decode.d4.loss_dice: 0.7199, decode.d5.loss_cls: 0.2354, decode.d5.loss_mask: 0.4691, decode.d5.loss_dice: 0.7181, decode.d6.loss_cls: 0.2298, decode.d6.loss_mask: 0.4648, decode.d6.loss_dice: 0.7102, decode.d7.loss_cls: 0.2269, decode.d7.loss_mask: 0.4656, decode.d7.loss_dice: 0.7110, decode.d8.loss_cls: 0.2290, decode.d8.loss_mask: 0.4638, decode.d8.loss_dice: 0.7136, loss: 15.5554, grad_norm: 71.6728 2023-11-22 14:47:09,780 - mmseg - INFO - Iter [107650/160000] lr: 3.116e-06, eta: 8:31:26, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2125, decode.loss_mask: 0.4625, decode.loss_dice: 0.6846, decode.d0.loss_cls: 1.3076, decode.d0.loss_mask: 0.4945, decode.d0.loss_dice: 0.7667, decode.d1.loss_cls: 0.2914, decode.d1.loss_mask: 0.4789, decode.d1.loss_dice: 0.7222, decode.d2.loss_cls: 0.2393, decode.d2.loss_mask: 0.4700, decode.d2.loss_dice: 0.7027, decode.d3.loss_cls: 0.2238, decode.d3.loss_mask: 0.4675, decode.d3.loss_dice: 0.6921, decode.d4.loss_cls: 0.2183, decode.d4.loss_mask: 0.4665, decode.d4.loss_dice: 0.6956, decode.d5.loss_cls: 0.2165, decode.d5.loss_mask: 0.4643, decode.d5.loss_dice: 0.6890, decode.d6.loss_cls: 0.2117, decode.d6.loss_mask: 0.4661, decode.d6.loss_dice: 0.6877, decode.d7.loss_cls: 0.2105, decode.d7.loss_mask: 0.4658, decode.d7.loss_dice: 0.6891, decode.d8.loss_cls: 0.2071, decode.d8.loss_mask: 0.4626, decode.d8.loss_dice: 0.6939, loss: 15.0608, grad_norm: 70.0697 2023-11-22 14:47:38,205 - mmseg - INFO - Iter [107700/160000] lr: 3.113e-06, eta: 8:30:56, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2058, decode.loss_mask: 0.4570, decode.loss_dice: 0.7051, decode.d0.loss_cls: 1.3252, decode.d0.loss_mask: 0.4869, decode.d0.loss_dice: 0.7755, decode.d1.loss_cls: 0.2991, decode.d1.loss_mask: 0.4725, decode.d1.loss_dice: 0.7343, decode.d2.loss_cls: 0.2495, decode.d2.loss_mask: 0.4613, decode.d2.loss_dice: 0.7182, decode.d3.loss_cls: 0.2262, decode.d3.loss_mask: 0.4589, decode.d3.loss_dice: 0.7111, decode.d4.loss_cls: 0.2226, decode.d4.loss_mask: 0.4595, decode.d4.loss_dice: 0.7099, decode.d5.loss_cls: 0.2173, decode.d5.loss_mask: 0.4601, decode.d5.loss_dice: 0.7089, decode.d6.loss_cls: 0.2175, decode.d6.loss_mask: 0.4591, decode.d6.loss_dice: 0.7027, decode.d7.loss_cls: 0.2149, decode.d7.loss_mask: 0.4581, decode.d7.loss_dice: 0.7045, decode.d8.loss_cls: 0.2104, decode.d8.loss_mask: 0.4576, decode.d8.loss_dice: 0.7061, loss: 15.1958, grad_norm: 62.9545 2023-11-22 14:48:06,391 - mmseg - INFO - Iter [107750/160000] lr: 3.111e-06, eta: 8:30:26, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2034, decode.loss_mask: 0.4781, decode.loss_dice: 0.7123, decode.d0.loss_cls: 1.2849, decode.d0.loss_mask: 0.5137, decode.d0.loss_dice: 0.7900, decode.d1.loss_cls: 0.2762, decode.d1.loss_mask: 0.4978, decode.d1.loss_dice: 0.7472, decode.d2.loss_cls: 0.2338, decode.d2.loss_mask: 0.4892, decode.d2.loss_dice: 0.7332, decode.d3.loss_cls: 0.2178, decode.d3.loss_mask: 0.4814, decode.d3.loss_dice: 0.7191, decode.d4.loss_cls: 0.2098, decode.d4.loss_mask: 0.4796, decode.d4.loss_dice: 0.7216, decode.d5.loss_cls: 0.2046, decode.d5.loss_mask: 0.4809, decode.d5.loss_dice: 0.7172, decode.d6.loss_cls: 0.2022, decode.d6.loss_mask: 0.4809, decode.d6.loss_dice: 0.7152, decode.d7.loss_cls: 0.2033, decode.d7.loss_mask: 0.4782, decode.d7.loss_dice: 0.7132, decode.d8.loss_cls: 0.2020, decode.d8.loss_mask: 0.4790, decode.d8.loss_dice: 0.7148, loss: 15.3808, grad_norm: 73.7429 2023-11-22 14:48:34,796 - mmseg - INFO - Iter [107800/160000] lr: 3.108e-06, eta: 8:29:56, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2117, decode.loss_mask: 0.4395, decode.loss_dice: 0.6995, decode.d0.loss_cls: 1.3142, decode.d0.loss_mask: 0.4723, decode.d0.loss_dice: 0.7817, decode.d1.loss_cls: 0.2984, decode.d1.loss_mask: 0.4574, decode.d1.loss_dice: 0.7395, decode.d2.loss_cls: 0.2467, decode.d2.loss_mask: 0.4467, decode.d2.loss_dice: 0.7173, decode.d3.loss_cls: 0.2290, decode.d3.loss_mask: 0.4421, decode.d3.loss_dice: 0.7088, decode.d4.loss_cls: 0.2289, decode.d4.loss_mask: 0.4403, decode.d4.loss_dice: 0.7054, decode.d5.loss_cls: 0.2172, decode.d5.loss_mask: 0.4403, decode.d5.loss_dice: 0.7052, decode.d6.loss_cls: 0.2211, decode.d6.loss_mask: 0.4399, decode.d6.loss_dice: 0.6992, decode.d7.loss_cls: 0.2184, decode.d7.loss_mask: 0.4394, decode.d7.loss_dice: 0.6985, decode.d8.loss_cls: 0.2129, decode.d8.loss_mask: 0.4396, decode.d8.loss_dice: 0.6991, loss: 15.0099, grad_norm: 69.2389 2023-11-22 14:49:03,154 - mmseg - INFO - Iter [107850/160000] lr: 3.105e-06, eta: 8:29:27, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2276, decode.loss_mask: 0.4777, decode.loss_dice: 0.7230, decode.d0.loss_cls: 1.3401, decode.d0.loss_mask: 0.5147, decode.d0.loss_dice: 0.8039, decode.d1.loss_cls: 0.3127, decode.d1.loss_mask: 0.4967, decode.d1.loss_dice: 0.7614, decode.d2.loss_cls: 0.2651, decode.d2.loss_mask: 0.4882, decode.d2.loss_dice: 0.7440, decode.d3.loss_cls: 0.2413, decode.d3.loss_mask: 0.4842, decode.d3.loss_dice: 0.7323, decode.d4.loss_cls: 0.2347, decode.d4.loss_mask: 0.4819, decode.d4.loss_dice: 0.7322, decode.d5.loss_cls: 0.2319, decode.d5.loss_mask: 0.4823, decode.d5.loss_dice: 0.7290, decode.d6.loss_cls: 0.2311, decode.d6.loss_mask: 0.4783, decode.d6.loss_dice: 0.7277, decode.d7.loss_cls: 0.2228, decode.d7.loss_mask: 0.4792, decode.d7.loss_dice: 0.7236, decode.d8.loss_cls: 0.2180, decode.d8.loss_mask: 0.4796, decode.d8.loss_dice: 0.7289, loss: 15.7941, grad_norm: 68.1149 2023-11-22 14:49:31,648 - mmseg - INFO - Iter [107900/160000] lr: 3.102e-06, eta: 8:28:57, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1986, decode.loss_mask: 0.4715, decode.loss_dice: 0.7113, decode.d0.loss_cls: 1.3088, decode.d0.loss_mask: 0.5054, decode.d0.loss_dice: 0.7866, decode.d1.loss_cls: 0.2885, decode.d1.loss_mask: 0.4878, decode.d1.loss_dice: 0.7383, decode.d2.loss_cls: 0.2414, decode.d2.loss_mask: 0.4794, decode.d2.loss_dice: 0.7241, decode.d3.loss_cls: 0.2147, decode.d3.loss_mask: 0.4741, decode.d3.loss_dice: 0.7154, decode.d4.loss_cls: 0.2147, decode.d4.loss_mask: 0.4719, decode.d4.loss_dice: 0.7100, decode.d5.loss_cls: 0.2114, decode.d5.loss_mask: 0.4737, decode.d5.loss_dice: 0.7106, decode.d6.loss_cls: 0.2078, decode.d6.loss_mask: 0.4716, decode.d6.loss_dice: 0.7061, decode.d7.loss_cls: 0.2038, decode.d7.loss_mask: 0.4719, decode.d7.loss_dice: 0.7087, decode.d8.loss_cls: 0.2064, decode.d8.loss_mask: 0.4709, decode.d8.loss_dice: 0.7085, loss: 15.2941, grad_norm: 68.3816 2023-11-22 14:50:00,205 - mmseg - INFO - Iter [107950/160000] lr: 3.099e-06, eta: 8:28:27, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2160, decode.loss_mask: 0.4648, decode.loss_dice: 0.7046, decode.d0.loss_cls: 1.3304, decode.d0.loss_mask: 0.5058, decode.d0.loss_dice: 0.7780, decode.d1.loss_cls: 0.2883, decode.d1.loss_mask: 0.4863, decode.d1.loss_dice: 0.7386, decode.d2.loss_cls: 0.2442, decode.d2.loss_mask: 0.4759, decode.d2.loss_dice: 0.7208, decode.d3.loss_cls: 0.2230, decode.d3.loss_mask: 0.4727, decode.d3.loss_dice: 0.7083, decode.d4.loss_cls: 0.2243, decode.d4.loss_mask: 0.4721, decode.d4.loss_dice: 0.7055, decode.d5.loss_cls: 0.2194, decode.d5.loss_mask: 0.4692, decode.d5.loss_dice: 0.7045, decode.d6.loss_cls: 0.2167, decode.d6.loss_mask: 0.4674, decode.d6.loss_dice: 0.7015, decode.d7.loss_cls: 0.2142, decode.d7.loss_mask: 0.4661, decode.d7.loss_dice: 0.7019, decode.d8.loss_cls: 0.2109, decode.d8.loss_mask: 0.4648, decode.d8.loss_dice: 0.7012, loss: 15.2973, grad_norm: 70.5340 2023-11-22 14:50:28,397 - mmseg - INFO - Saving checkpoint at 108000 iterations 2023-11-22 14:50:36,428 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 14:50:36,428 - mmseg - INFO - Iter [108000/160000] lr: 3.096e-06, eta: 8:28:01, time: 0.724, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2099, decode.loss_mask: 0.4784, decode.loss_dice: 0.7058, decode.d0.loss_cls: 1.3030, decode.d0.loss_mask: 0.5102, decode.d0.loss_dice: 0.7908, decode.d1.loss_cls: 0.2993, decode.d1.loss_mask: 0.4916, decode.d1.loss_dice: 0.7478, decode.d2.loss_cls: 0.2458, decode.d2.loss_mask: 0.4855, decode.d2.loss_dice: 0.7262, decode.d3.loss_cls: 0.2259, decode.d3.loss_mask: 0.4799, decode.d3.loss_dice: 0.7128, decode.d4.loss_cls: 0.2258, decode.d4.loss_mask: 0.4807, decode.d4.loss_dice: 0.7132, decode.d5.loss_cls: 0.2184, decode.d5.loss_mask: 0.4803, decode.d5.loss_dice: 0.7127, decode.d6.loss_cls: 0.2146, decode.d6.loss_mask: 0.4789, decode.d6.loss_dice: 0.7090, decode.d7.loss_cls: 0.2101, decode.d7.loss_mask: 0.4794, decode.d7.loss_dice: 0.7043, decode.d8.loss_cls: 0.2110, decode.d8.loss_mask: 0.4783, decode.d8.loss_dice: 0.7080, loss: 15.4376, grad_norm: 71.7339 2023-11-22 14:50:55,731 - mmseg - INFO - per class results: 2023-11-22 14:50:55,736 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.94 | 87.96 | | building | 83.29 | 91.2 | | sky | 94.97 | 97.63 | | floor | 84.08 | 91.21 | | tree | 75.63 | 89.39 | | ceiling | 85.93 | 92.44 | | road | 86.84 | 91.93 | | bed | 91.09 | 95.61 | | windowpane | 64.18 | 81.03 | | grass | 66.54 | 74.65 | | cabinet | 64.37 | 74.97 | | sidewalk | 70.97 | 82.77 | | person | 86.33 | 93.34 | | earth | 41.1 | 62.58 | | door | 53.91 | 68.7 | | table | 69.05 | 84.64 | | mountain | 60.46 | 76.31 | | plant | 53.14 | 64.83 | | curtain | 76.44 | 88.42 | | chair | 67.44 | 80.94 | | car | 88.07 | 93.84 | | water | 57.18 | 69.78 | | painting | 74.81 | 91.02 | | sofa | 77.04 | 90.44 | | shelf | 45.1 | 59.04 | | house | 41.49 | 68.66 | | sea | 61.22 | 84.13 | | mirror | 74.87 | 83.11 | | rug | 70.07 | 82.54 | | field | 38.28 | 64.36 | | armchair | 54.18 | 69.47 | | seat | 65.67 | 87.17 | | fence | 53.94 | 68.95 | | desk | 54.56 | 74.05 | | rock | 52.9 | 70.5 | | wardrobe | 51.03 | 76.95 | | lamp | 72.21 | 83.74 | | bathtub | 73.76 | 87.14 | | railing | 40.05 | 58.59 | | cushion | 65.81 | 74.58 | | base | 41.84 | 62.09 | | box | 33.03 | 42.71 | | column | 53.32 | 73.23 | | signboard | 43.8 | 61.34 | | chest of drawers | 37.1 | 58.45 | | counter | 46.23 | 60.41 | | sand | 36.76 | 50.69 | | sink | 80.47 | 85.51 | | skyscraper | 61.61 | 77.14 | | fireplace | 71.38 | 91.18 | | refrigerator | 84.18 | 90.97 | | grandstand | 41.61 | 73.2 | | path | 22.23 | 31.96 | | stairs | 35.95 | 47.03 | | runway | 65.1 | 83.2 | | case | 58.44 | 87.56 | | pool table | 95.31 | 97.56 | | pillow | 64.03 | 77.45 | | screen door | 77.14 | 84.92 | | stairway | 38.41 | 49.0 | | river | 9.84 | 20.62 | | bridge | 83.29 | 89.05 | | bookcase | 28.67 | 47.3 | | blind | 37.49 | 45.01 | | coffee table | 72.04 | 85.66 | | toilet | 91.37 | 94.21 | | flower | 40.23 | 57.71 | | book | 52.47 | 75.63 | | hill | 9.61 | 12.58 | | bench | 64.42 | 75.81 | | countertop | 64.03 | 80.66 | | stove | 86.88 | 90.52 | | palm | 54.13 | 79.01 | | kitchen island | 50.41 | 64.72 | | computer | 74.46 | 83.23 | | swivel chair | 50.65 | 63.73 | | boat | 36.35 | 51.06 | | bar | 63.5 | 69.53 | | arcade machine | 76.76 | 82.24 | | hovel | 51.42 | 76.49 | | bus | 94.78 | 97.5 | | towel | 79.38 | 88.27 | | light | 66.48 | 80.31 | | truck | 42.89 | 50.82 | | tower | 36.64 | 61.85 | | chandelier | 68.68 | 85.18 | | awning | 43.97 | 62.27 | | streetlight | 46.09 | 66.29 | | booth | 48.99 | 67.78 | | television receiver | 76.57 | 89.25 | | airplane | 73.06 | 78.44 | | dirt track | 15.32 | 16.66 | | apparel | 54.73 | 73.24 | | pole | 35.31 | 54.22 | | land | 3.91 | 6.89 | | bannister | 22.97 | 36.48 | | escalator | 24.9 | 26.5 | | ottoman | 53.72 | 71.57 | | bottle | 40.32 | 66.11 | | buffet | 53.34 | 65.65 | | poster | 29.94 | 43.58 | | stage | 25.22 | 47.21 | | van | 47.14 | 75.93 | | ship | 3.03 | 6.73 | | fountain | 21.3 | 21.91 | | conveyer belt | 77.07 | 90.16 | | canopy | 26.87 | 51.69 | | washer | 71.29 | 73.63 | | plaything | 41.22 | 52.76 | | swimming pool | 67.73 | 71.53 | | stool | 55.64 | 73.59 | | barrel | 56.01 | 97.85 | | basket | 44.62 | 60.54 | | waterfall | 66.25 | 92.37 | | tent | 95.57 | 98.19 | | bag | 23.39 | 33.55 | | minibike | 73.07 | 92.14 | | cradle | 86.59 | 97.89 | | oven | 25.51 | 72.45 | | ball | 53.52 | 59.78 | | food | 57.32 | 68.55 | | step | 15.7 | 21.79 | | tank | 61.53 | 65.62 | | trade name | 29.98 | 36.02 | | microwave | 41.7 | 46.29 | | pot | 51.51 | 63.17 | | animal | 62.52 | 63.88 | | bicycle | 60.11 | 76.42 | | lake | 56.16 | 63.65 | | dishwasher | 82.33 | 88.19 | | screen | 60.26 | 92.35 | | blanket | 34.87 | 47.02 | | sculpture | 55.64 | 89.08 | | hood | 69.33 | 78.26 | | sconce | 62.4 | 76.97 | | vase | 57.84 | 74.99 | | traffic light | 46.32 | 72.7 | | tray | 19.46 | 23.49 | | ashcan | 51.47 | 77.14 | | fan | 72.61 | 85.52 | | pier | 34.82 | 45.11 | | crt screen | 3.06 | 10.88 | | plate | 64.96 | 81.12 | | monitor | 1.57 | 1.78 | | bulletin board | 61.82 | 78.52 | | shower | 9.09 | 22.21 | | radiator | 68.03 | 83.44 | | glass | 24.93 | 26.95 | | clock | 56.09 | 68.47 | | flag | 50.93 | 58.34 | +---------------------+-------+-------+ 2023-11-22 14:50:55,736 - mmseg - INFO - Summary: 2023-11-22 14:50:55,736 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.95 | 55.01 | 68.57 | +-------+-------+-------+ 2023-11-22 14:50:55,737 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 14:50:55,737 - mmseg - INFO - Iter(val) [250] aAcc: 0.8495, mIoU: 0.5501, mAcc: 0.6857, IoU.wall: 0.8094, IoU.building: 0.8329, IoU.sky: 0.9497, IoU.floor: 0.8408, IoU.tree: 0.7563, IoU.ceiling: 0.8593, IoU.road: 0.8684, IoU.bed : 0.9109, IoU.windowpane: 0.6418, IoU.grass: 0.6654, IoU.cabinet: 0.6437, IoU.sidewalk: 0.7097, IoU.person: 0.8633, IoU.earth: 0.4110, IoU.door: 0.5391, IoU.table: 0.6905, IoU.mountain: 0.6046, IoU.plant: 0.5314, IoU.curtain: 0.7644, IoU.chair: 0.6744, IoU.car: 0.8807, IoU.water: 0.5718, IoU.painting: 0.7481, IoU.sofa: 0.7704, IoU.shelf: 0.4510, IoU.house: 0.4149, IoU.sea: 0.6122, IoU.mirror: 0.7487, IoU.rug: 0.7007, IoU.field: 0.3828, IoU.armchair: 0.5418, IoU.seat: 0.6567, IoU.fence: 0.5394, IoU.desk: 0.5456, IoU.rock: 0.5290, IoU.wardrobe: 0.5103, IoU.lamp: 0.7221, IoU.bathtub: 0.7376, IoU.railing: 0.4005, IoU.cushion: 0.6581, IoU.base: 0.4184, IoU.box: 0.3303, IoU.column: 0.5332, IoU.signboard: 0.4380, IoU.chest of drawers: 0.3710, IoU.counter: 0.4623, IoU.sand: 0.3676, IoU.sink: 0.8047, IoU.skyscraper: 0.6161, IoU.fireplace: 0.7138, IoU.refrigerator: 0.8418, IoU.grandstand: 0.4161, IoU.path: 0.2223, IoU.stairs: 0.3595, IoU.runway: 0.6510, IoU.case: 0.5844, IoU.pool table: 0.9531, IoU.pillow: 0.6403, IoU.screen door: 0.7714, IoU.stairway: 0.3841, IoU.river: 0.0984, IoU.bridge: 0.8329, IoU.bookcase: 0.2867, IoU.blind: 0.3749, IoU.coffee table: 0.7204, IoU.toilet: 0.9137, IoU.flower: 0.4023, IoU.book: 0.5247, IoU.hill: 0.0961, IoU.bench: 0.6442, IoU.countertop: 0.6403, IoU.stove: 0.8688, IoU.palm: 0.5413, IoU.kitchen island: 0.5041, IoU.computer: 0.7446, IoU.swivel chair: 0.5065, IoU.boat: 0.3635, IoU.bar: 0.6350, IoU.arcade machine: 0.7676, IoU.hovel: 0.5142, IoU.bus: 0.9478, IoU.towel: 0.7938, IoU.light: 0.6648, IoU.truck: 0.4289, IoU.tower: 0.3664, IoU.chandelier: 0.6868, IoU.awning: 0.4397, IoU.streetlight: 0.4609, IoU.booth: 0.4899, IoU.television receiver: 0.7657, IoU.airplane: 0.7306, IoU.dirt track: 0.1532, IoU.apparel: 0.5473, IoU.pole: 0.3531, IoU.land: 0.0391, IoU.bannister: 0.2297, IoU.escalator: 0.2490, IoU.ottoman: 0.5372, IoU.bottle: 0.4032, IoU.buffet: 0.5334, IoU.poster: 0.2994, IoU.stage: 0.2522, IoU.van: 0.4714, IoU.ship: 0.0303, IoU.fountain: 0.2130, IoU.conveyer belt: 0.7707, IoU.canopy: 0.2687, IoU.washer: 0.7129, IoU.plaything: 0.4122, IoU.swimming pool: 0.6773, IoU.stool: 0.5564, IoU.barrel: 0.5601, IoU.basket: 0.4462, IoU.waterfall: 0.6625, IoU.tent: 0.9557, IoU.bag: 0.2339, IoU.minibike: 0.7307, IoU.cradle: 0.8659, IoU.oven: 0.2551, IoU.ball: 0.5352, IoU.food: 0.5732, IoU.step: 0.1570, IoU.tank: 0.6153, IoU.trade name: 0.2998, IoU.microwave: 0.4170, IoU.pot: 0.5151, IoU.animal: 0.6252, IoU.bicycle: 0.6011, IoU.lake: 0.5616, IoU.dishwasher: 0.8233, IoU.screen: 0.6026, IoU.blanket: 0.3487, IoU.sculpture: 0.5564, IoU.hood: 0.6933, IoU.sconce: 0.6240, IoU.vase: 0.5784, IoU.traffic light: 0.4632, IoU.tray: 0.1946, IoU.ashcan: 0.5147, IoU.fan: 0.7261, IoU.pier: 0.3482, IoU.crt screen: 0.0306, IoU.plate: 0.6496, IoU.monitor: 0.0157, IoU.bulletin board: 0.6182, IoU.shower: 0.0909, IoU.radiator: 0.6803, IoU.glass: 0.2493, IoU.clock: 0.5609, IoU.flag: 0.5093, Acc.wall: 0.8796, Acc.building: 0.9120, Acc.sky: 0.9763, Acc.floor: 0.9121, Acc.tree: 0.8939, Acc.ceiling: 0.9244, Acc.road: 0.9193, Acc.bed : 0.9561, Acc.windowpane: 0.8103, Acc.grass: 0.7465, Acc.cabinet: 0.7497, Acc.sidewalk: 0.8277, Acc.person: 0.9334, Acc.earth: 0.6258, Acc.door: 0.6870, Acc.table: 0.8464, Acc.mountain: 0.7631, Acc.plant: 0.6483, Acc.curtain: 0.8842, Acc.chair: 0.8094, Acc.car: 0.9384, Acc.water: 0.6978, Acc.painting: 0.9102, Acc.sofa: 0.9044, Acc.shelf: 0.5904, Acc.house: 0.6866, Acc.sea: 0.8413, Acc.mirror: 0.8311, Acc.rug: 0.8254, Acc.field: 0.6436, Acc.armchair: 0.6947, Acc.seat: 0.8717, Acc.fence: 0.6895, Acc.desk: 0.7405, Acc.rock: 0.7050, Acc.wardrobe: 0.7695, Acc.lamp: 0.8374, Acc.bathtub: 0.8714, Acc.railing: 0.5859, Acc.cushion: 0.7458, Acc.base: 0.6209, Acc.box: 0.4271, Acc.column: 0.7323, Acc.signboard: 0.6134, Acc.chest of drawers: 0.5845, Acc.counter: 0.6041, Acc.sand: 0.5069, Acc.sink: 0.8551, Acc.skyscraper: 0.7714, Acc.fireplace: 0.9118, Acc.refrigerator: 0.9097, Acc.grandstand: 0.7320, Acc.path: 0.3196, Acc.stairs: 0.4703, Acc.runway: 0.8320, Acc.case: 0.8756, Acc.pool table: 0.9756, Acc.pillow: 0.7745, Acc.screen door: 0.8492, Acc.stairway: 0.4900, Acc.river: 0.2062, Acc.bridge: 0.8905, Acc.bookcase: 0.4730, Acc.blind: 0.4501, Acc.coffee table: 0.8566, Acc.toilet: 0.9421, Acc.flower: 0.5771, Acc.book: 0.7563, Acc.hill: 0.1258, Acc.bench: 0.7581, Acc.countertop: 0.8066, Acc.stove: 0.9052, Acc.palm: 0.7901, Acc.kitchen island: 0.6472, Acc.computer: 0.8323, Acc.swivel chair: 0.6373, Acc.boat: 0.5106, Acc.bar: 0.6953, Acc.arcade machine: 0.8224, Acc.hovel: 0.7649, Acc.bus: 0.9750, Acc.towel: 0.8827, Acc.light: 0.8031, Acc.truck: 0.5082, Acc.tower: 0.6185, Acc.chandelier: 0.8518, Acc.awning: 0.6227, Acc.streetlight: 0.6629, Acc.booth: 0.6778, Acc.television receiver: 0.8925, Acc.airplane: 0.7844, Acc.dirt track: 0.1666, Acc.apparel: 0.7324, Acc.pole: 0.5422, Acc.land: 0.0689, Acc.bannister: 0.3648, Acc.escalator: 0.2650, Acc.ottoman: 0.7157, Acc.bottle: 0.6611, Acc.buffet: 0.6565, Acc.poster: 0.4358, Acc.stage: 0.4721, Acc.van: 0.7593, Acc.ship: 0.0673, Acc.fountain: 0.2191, Acc.conveyer belt: 0.9016, Acc.canopy: 0.5169, Acc.washer: 0.7363, Acc.plaything: 0.5276, Acc.swimming pool: 0.7153, Acc.stool: 0.7359, Acc.barrel: 0.9785, Acc.basket: 0.6054, Acc.waterfall: 0.9237, Acc.tent: 0.9819, Acc.bag: 0.3355, Acc.minibike: 0.9214, Acc.cradle: 0.9789, Acc.oven: 0.7245, Acc.ball: 0.5978, Acc.food: 0.6855, Acc.step: 0.2179, Acc.tank: 0.6562, Acc.trade name: 0.3602, Acc.microwave: 0.4629, Acc.pot: 0.6317, Acc.animal: 0.6388, Acc.bicycle: 0.7642, Acc.lake: 0.6365, Acc.dishwasher: 0.8819, Acc.screen: 0.9235, Acc.blanket: 0.4702, Acc.sculpture: 0.8908, Acc.hood: 0.7826, Acc.sconce: 0.7697, Acc.vase: 0.7499, Acc.traffic light: 0.7270, Acc.tray: 0.2349, Acc.ashcan: 0.7714, Acc.fan: 0.8552, Acc.pier: 0.4511, Acc.crt screen: 0.1088, Acc.plate: 0.8112, Acc.monitor: 0.0178, Acc.bulletin board: 0.7852, Acc.shower: 0.2221, Acc.radiator: 0.8344, Acc.glass: 0.2695, Acc.clock: 0.6847, Acc.flag: 0.5834 2023-11-22 14:51:24,018 - mmseg - INFO - Iter [108050/160000] lr: 3.093e-06, eta: 8:27:41, time: 0.952, data_time: 0.399, memory: 38143, decode.loss_cls: 0.2111, decode.loss_mask: 0.4740, decode.loss_dice: 0.7338, decode.d0.loss_cls: 1.3176, decode.d0.loss_mask: 0.5094, decode.d0.loss_dice: 0.8144, decode.d1.loss_cls: 0.3000, decode.d1.loss_mask: 0.4908, decode.d1.loss_dice: 0.7689, decode.d2.loss_cls: 0.2506, decode.d2.loss_mask: 0.4822, decode.d2.loss_dice: 0.7514, decode.d3.loss_cls: 0.2336, decode.d3.loss_mask: 0.4770, decode.d3.loss_dice: 0.7393, decode.d4.loss_cls: 0.2221, decode.d4.loss_mask: 0.4760, decode.d4.loss_dice: 0.7378, decode.d5.loss_cls: 0.2210, decode.d5.loss_mask: 0.4767, decode.d5.loss_dice: 0.7389, decode.d6.loss_cls: 0.2218, decode.d6.loss_mask: 0.4750, decode.d6.loss_dice: 0.7337, decode.d7.loss_cls: 0.2113, decode.d7.loss_mask: 0.4734, decode.d7.loss_dice: 0.7329, decode.d8.loss_cls: 0.2138, decode.d8.loss_mask: 0.4737, decode.d8.loss_dice: 0.7307, loss: 15.6930, grad_norm: 72.7127 2023-11-22 14:51:52,366 - mmseg - INFO - Iter [108100/160000] lr: 3.090e-06, eta: 8:27:11, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2100, decode.loss_mask: 0.4620, decode.loss_dice: 0.6845, decode.d0.loss_cls: 1.3209, decode.d0.loss_mask: 0.4987, decode.d0.loss_dice: 0.7615, decode.d1.loss_cls: 0.2858, decode.d1.loss_mask: 0.4823, decode.d1.loss_dice: 0.7289, decode.d2.loss_cls: 0.2370, decode.d2.loss_mask: 0.4729, decode.d2.loss_dice: 0.7118, decode.d3.loss_cls: 0.2289, decode.d3.loss_mask: 0.4661, decode.d3.loss_dice: 0.6933, decode.d4.loss_cls: 0.2212, decode.d4.loss_mask: 0.4638, decode.d4.loss_dice: 0.6967, decode.d5.loss_cls: 0.2193, decode.d5.loss_mask: 0.4651, decode.d5.loss_dice: 0.6907, decode.d6.loss_cls: 0.2129, decode.d6.loss_mask: 0.4640, decode.d6.loss_dice: 0.6840, decode.d7.loss_cls: 0.2140, decode.d7.loss_mask: 0.4625, decode.d7.loss_dice: 0.6838, decode.d8.loss_cls: 0.2097, decode.d8.loss_mask: 0.4611, decode.d8.loss_dice: 0.6832, loss: 15.0767, grad_norm: 71.3813 2023-11-22 14:52:20,553 - mmseg - INFO - Iter [108150/160000] lr: 3.087e-06, eta: 8:26:41, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2085, decode.loss_mask: 0.4817, decode.loss_dice: 0.7063, decode.d0.loss_cls: 1.3067, decode.d0.loss_mask: 0.5214, decode.d0.loss_dice: 0.7942, decode.d1.loss_cls: 0.2916, decode.d1.loss_mask: 0.4990, decode.d1.loss_dice: 0.7474, decode.d2.loss_cls: 0.2423, decode.d2.loss_mask: 0.4899, decode.d2.loss_dice: 0.7332, decode.d3.loss_cls: 0.2276, decode.d3.loss_mask: 0.4875, decode.d3.loss_dice: 0.7169, decode.d4.loss_cls: 0.2193, decode.d4.loss_mask: 0.4845, decode.d4.loss_dice: 0.7165, decode.d5.loss_cls: 0.2139, decode.d5.loss_mask: 0.4840, decode.d5.loss_dice: 0.7143, decode.d6.loss_cls: 0.2156, decode.d6.loss_mask: 0.4830, decode.d6.loss_dice: 0.7096, decode.d7.loss_cls: 0.2116, decode.d7.loss_mask: 0.4793, decode.d7.loss_dice: 0.7048, decode.d8.loss_cls: 0.2061, decode.d8.loss_mask: 0.4811, decode.d8.loss_dice: 0.7114, loss: 15.4889, grad_norm: 66.6737 2023-11-22 14:52:49,217 - mmseg - INFO - Iter [108200/160000] lr: 3.084e-06, eta: 8:26:12, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2039, decode.loss_mask: 0.4834, decode.loss_dice: 0.7018, decode.d0.loss_cls: 1.3018, decode.d0.loss_mask: 0.5179, decode.d0.loss_dice: 0.7816, decode.d1.loss_cls: 0.2874, decode.d1.loss_mask: 0.5061, decode.d1.loss_dice: 0.7402, decode.d2.loss_cls: 0.2423, decode.d2.loss_mask: 0.4945, decode.d2.loss_dice: 0.7226, decode.d3.loss_cls: 0.2210, decode.d3.loss_mask: 0.4877, decode.d3.loss_dice: 0.7041, decode.d4.loss_cls: 0.2203, decode.d4.loss_mask: 0.4851, decode.d4.loss_dice: 0.7080, decode.d5.loss_cls: 0.2133, decode.d5.loss_mask: 0.4873, decode.d5.loss_dice: 0.7064, decode.d6.loss_cls: 0.2130, decode.d6.loss_mask: 0.4845, decode.d6.loss_dice: 0.7021, decode.d7.loss_cls: 0.2089, decode.d7.loss_mask: 0.4831, decode.d7.loss_dice: 0.7016, decode.d8.loss_cls: 0.2102, decode.d8.loss_mask: 0.4820, decode.d8.loss_dice: 0.7024, loss: 15.4045, grad_norm: 70.5712 2023-11-22 14:53:17,582 - mmseg - INFO - Iter [108250/160000] lr: 3.081e-06, eta: 8:25:42, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2017, decode.loss_mask: 0.4636, decode.loss_dice: 0.7053, decode.d0.loss_cls: 1.3310, decode.d0.loss_mask: 0.4978, decode.d0.loss_dice: 0.7885, decode.d1.loss_cls: 0.2801, decode.d1.loss_mask: 0.4802, decode.d1.loss_dice: 0.7402, decode.d2.loss_cls: 0.2331, decode.d2.loss_mask: 0.4721, decode.d2.loss_dice: 0.7262, decode.d3.loss_cls: 0.2185, decode.d3.loss_mask: 0.4690, decode.d3.loss_dice: 0.7138, decode.d4.loss_cls: 0.2148, decode.d4.loss_mask: 0.4671, decode.d4.loss_dice: 0.7125, decode.d5.loss_cls: 0.2106, decode.d5.loss_mask: 0.4680, decode.d5.loss_dice: 0.7119, decode.d6.loss_cls: 0.2074, decode.d6.loss_mask: 0.4666, decode.d6.loss_dice: 0.7101, decode.d7.loss_cls: 0.2057, decode.d7.loss_mask: 0.4656, decode.d7.loss_dice: 0.7076, decode.d8.loss_cls: 0.2021, decode.d8.loss_mask: 0.4649, decode.d8.loss_dice: 0.7093, loss: 15.2452, grad_norm: 68.5230 2023-11-22 14:53:45,855 - mmseg - INFO - Iter [108300/160000] lr: 3.078e-06, eta: 8:25:12, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2209, decode.loss_mask: 0.4821, decode.loss_dice: 0.7058, decode.d0.loss_cls: 1.3101, decode.d0.loss_mask: 0.5131, decode.d0.loss_dice: 0.7825, decode.d1.loss_cls: 0.2959, decode.d1.loss_mask: 0.5001, decode.d1.loss_dice: 0.7428, decode.d2.loss_cls: 0.2481, decode.d2.loss_mask: 0.4918, decode.d2.loss_dice: 0.7265, decode.d3.loss_cls: 0.2369, decode.d3.loss_mask: 0.4855, decode.d3.loss_dice: 0.7095, decode.d4.loss_cls: 0.2297, decode.d4.loss_mask: 0.4827, decode.d4.loss_dice: 0.7068, decode.d5.loss_cls: 0.2281, decode.d5.loss_mask: 0.4805, decode.d5.loss_dice: 0.7066, decode.d6.loss_cls: 0.2288, decode.d6.loss_mask: 0.4805, decode.d6.loss_dice: 0.7053, decode.d7.loss_cls: 0.2243, decode.d7.loss_mask: 0.4804, decode.d7.loss_dice: 0.7024, decode.d8.loss_cls: 0.2229, decode.d8.loss_mask: 0.4777, decode.d8.loss_dice: 0.7052, loss: 15.5136, grad_norm: 75.9469 2023-11-22 14:54:14,116 - mmseg - INFO - Iter [108350/160000] lr: 3.075e-06, eta: 8:24:42, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2091, decode.loss_mask: 0.4685, decode.loss_dice: 0.6912, decode.d0.loss_cls: 1.2682, decode.d0.loss_mask: 0.5014, decode.d0.loss_dice: 0.7754, decode.d1.loss_cls: 0.2860, decode.d1.loss_mask: 0.4870, decode.d1.loss_dice: 0.7379, decode.d2.loss_cls: 0.2387, decode.d2.loss_mask: 0.4775, decode.d2.loss_dice: 0.7138, decode.d3.loss_cls: 0.2251, decode.d3.loss_mask: 0.4709, decode.d3.loss_dice: 0.6980, decode.d4.loss_cls: 0.2147, decode.d4.loss_mask: 0.4709, decode.d4.loss_dice: 0.6972, decode.d5.loss_cls: 0.2131, decode.d5.loss_mask: 0.4702, decode.d5.loss_dice: 0.6989, decode.d6.loss_cls: 0.2089, decode.d6.loss_mask: 0.4691, decode.d6.loss_dice: 0.6961, decode.d7.loss_cls: 0.2078, decode.d7.loss_mask: 0.4697, decode.d7.loss_dice: 0.6942, decode.d8.loss_cls: 0.2117, decode.d8.loss_mask: 0.4691, decode.d8.loss_dice: 0.6907, loss: 15.1311, grad_norm: 72.3002 2023-11-22 14:54:42,357 - mmseg - INFO - Iter [108400/160000] lr: 3.072e-06, eta: 8:24:12, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2010, decode.loss_mask: 0.4967, decode.loss_dice: 0.7123, decode.d0.loss_cls: 1.2777, decode.d0.loss_mask: 0.5352, decode.d0.loss_dice: 0.7924, decode.d1.loss_cls: 0.2756, decode.d1.loss_mask: 0.5143, decode.d1.loss_dice: 0.7499, decode.d2.loss_cls: 0.2367, decode.d2.loss_mask: 0.5071, decode.d2.loss_dice: 0.7316, decode.d3.loss_cls: 0.2184, decode.d3.loss_mask: 0.5023, decode.d3.loss_dice: 0.7200, decode.d4.loss_cls: 0.2138, decode.d4.loss_mask: 0.5005, decode.d4.loss_dice: 0.7211, decode.d5.loss_cls: 0.2114, decode.d5.loss_mask: 0.4975, decode.d5.loss_dice: 0.7165, decode.d6.loss_cls: 0.2069, decode.d6.loss_mask: 0.4966, decode.d6.loss_dice: 0.7140, decode.d7.loss_cls: 0.2024, decode.d7.loss_mask: 0.4960, decode.d7.loss_dice: 0.7139, decode.d8.loss_cls: 0.1977, decode.d8.loss_mask: 0.4971, decode.d8.loss_dice: 0.7199, loss: 15.5763, grad_norm: 75.3619 2023-11-22 14:55:10,718 - mmseg - INFO - Iter [108450/160000] lr: 3.069e-06, eta: 8:23:43, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2114, decode.loss_mask: 0.4648, decode.loss_dice: 0.7086, decode.d0.loss_cls: 1.2780, decode.d0.loss_mask: 0.5011, decode.d0.loss_dice: 0.7964, decode.d1.loss_cls: 0.2871, decode.d1.loss_mask: 0.4840, decode.d1.loss_dice: 0.7442, decode.d2.loss_cls: 0.2433, decode.d2.loss_mask: 0.4767, decode.d2.loss_dice: 0.7284, decode.d3.loss_cls: 0.2245, decode.d3.loss_mask: 0.4694, decode.d3.loss_dice: 0.7152, decode.d4.loss_cls: 0.2195, decode.d4.loss_mask: 0.4671, decode.d4.loss_dice: 0.7150, decode.d5.loss_cls: 0.2143, decode.d5.loss_mask: 0.4680, decode.d5.loss_dice: 0.7111, decode.d6.loss_cls: 0.2088, decode.d6.loss_mask: 0.4663, decode.d6.loss_dice: 0.7067, decode.d7.loss_cls: 0.2089, decode.d7.loss_mask: 0.4662, decode.d7.loss_dice: 0.7083, decode.d8.loss_cls: 0.2065, decode.d8.loss_mask: 0.4657, decode.d8.loss_dice: 0.7090, loss: 15.2745, grad_norm: 65.1876 2023-11-22 14:55:39,636 - mmseg - INFO - Iter [108500/160000] lr: 3.066e-06, eta: 8:23:13, time: 0.578, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2032, decode.loss_mask: 0.4822, decode.loss_dice: 0.7133, decode.d0.loss_cls: 1.2797, decode.d0.loss_mask: 0.5103, decode.d0.loss_dice: 0.7857, decode.d1.loss_cls: 0.2957, decode.d1.loss_mask: 0.4962, decode.d1.loss_dice: 0.7487, decode.d2.loss_cls: 0.2418, decode.d2.loss_mask: 0.4900, decode.d2.loss_dice: 0.7325, decode.d3.loss_cls: 0.2238, decode.d3.loss_mask: 0.4876, decode.d3.loss_dice: 0.7189, decode.d4.loss_cls: 0.2149, decode.d4.loss_mask: 0.4845, decode.d4.loss_dice: 0.7210, decode.d5.loss_cls: 0.2135, decode.d5.loss_mask: 0.4844, decode.d5.loss_dice: 0.7138, decode.d6.loss_cls: 0.2136, decode.d6.loss_mask: 0.4829, decode.d6.loss_dice: 0.7073, decode.d7.loss_cls: 0.2112, decode.d7.loss_mask: 0.4802, decode.d7.loss_dice: 0.7105, decode.d8.loss_cls: 0.2065, decode.d8.loss_mask: 0.4813, decode.d8.loss_dice: 0.7129, loss: 15.4482, grad_norm: 73.6692 2023-11-22 14:56:07,995 - mmseg - INFO - Iter [108550/160000] lr: 3.063e-06, eta: 8:22:43, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2165, decode.loss_mask: 0.4621, decode.loss_dice: 0.7075, decode.d0.loss_cls: 1.3511, decode.d0.loss_mask: 0.4996, decode.d0.loss_dice: 0.7868, decode.d1.loss_cls: 0.3042, decode.d1.loss_mask: 0.4805, decode.d1.loss_dice: 0.7460, decode.d2.loss_cls: 0.2529, decode.d2.loss_mask: 0.4694, decode.d2.loss_dice: 0.7289, decode.d3.loss_cls: 0.2400, decode.d3.loss_mask: 0.4648, decode.d3.loss_dice: 0.7124, decode.d4.loss_cls: 0.2324, decode.d4.loss_mask: 0.4637, decode.d4.loss_dice: 0.7151, decode.d5.loss_cls: 0.2289, decode.d5.loss_mask: 0.4643, decode.d5.loss_dice: 0.7125, decode.d6.loss_cls: 0.2265, decode.d6.loss_mask: 0.4650, decode.d6.loss_dice: 0.7079, decode.d7.loss_cls: 0.2242, decode.d7.loss_mask: 0.4635, decode.d7.loss_dice: 0.7056, decode.d8.loss_cls: 0.2193, decode.d8.loss_mask: 0.4622, decode.d8.loss_dice: 0.7071, loss: 15.4205, grad_norm: 67.8167 2023-11-22 14:56:36,411 - mmseg - INFO - Iter [108600/160000] lr: 3.060e-06, eta: 8:22:14, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2082, decode.loss_mask: 0.4656, decode.loss_dice: 0.7011, decode.d0.loss_cls: 1.2977, decode.d0.loss_mask: 0.4981, decode.d0.loss_dice: 0.7813, decode.d1.loss_cls: 0.2898, decode.d1.loss_mask: 0.4821, decode.d1.loss_dice: 0.7383, decode.d2.loss_cls: 0.2322, decode.d2.loss_mask: 0.4757, decode.d2.loss_dice: 0.7168, decode.d3.loss_cls: 0.2238, decode.d3.loss_mask: 0.4687, decode.d3.loss_dice: 0.7078, decode.d4.loss_cls: 0.2223, decode.d4.loss_mask: 0.4680, decode.d4.loss_dice: 0.7102, decode.d5.loss_cls: 0.2149, decode.d5.loss_mask: 0.4665, decode.d5.loss_dice: 0.7041, decode.d6.loss_cls: 0.2148, decode.d6.loss_mask: 0.4661, decode.d6.loss_dice: 0.7015, decode.d7.loss_cls: 0.2148, decode.d7.loss_mask: 0.4664, decode.d7.loss_dice: 0.7023, decode.d8.loss_cls: 0.2082, decode.d8.loss_mask: 0.4659, decode.d8.loss_dice: 0.7002, loss: 15.2134, grad_norm: 71.3875 2023-11-22 14:57:07,100 - mmseg - INFO - Iter [108650/160000] lr: 3.057e-06, eta: 8:21:45, time: 0.614, data_time: 0.060, memory: 38143, decode.loss_cls: 0.1978, decode.loss_mask: 0.4730, decode.loss_dice: 0.7050, decode.d0.loss_cls: 1.2824, decode.d0.loss_mask: 0.5058, decode.d0.loss_dice: 0.7697, decode.d1.loss_cls: 0.2769, decode.d1.loss_mask: 0.4859, decode.d1.loss_dice: 0.7359, decode.d2.loss_cls: 0.2354, decode.d2.loss_mask: 0.4785, decode.d2.loss_dice: 0.7190, decode.d3.loss_cls: 0.2208, decode.d3.loss_mask: 0.4760, decode.d3.loss_dice: 0.7027, decode.d4.loss_cls: 0.2144, decode.d4.loss_mask: 0.4747, decode.d4.loss_dice: 0.7082, decode.d5.loss_cls: 0.2142, decode.d5.loss_mask: 0.4751, decode.d5.loss_dice: 0.7033, decode.d6.loss_cls: 0.2045, decode.d6.loss_mask: 0.4738, decode.d6.loss_dice: 0.7044, decode.d7.loss_cls: 0.2013, decode.d7.loss_mask: 0.4712, decode.d7.loss_dice: 0.7003, decode.d8.loss_cls: 0.1990, decode.d8.loss_mask: 0.4716, decode.d8.loss_dice: 0.7027, loss: 15.1838, grad_norm: 65.6752 2023-11-22 14:57:35,494 - mmseg - INFO - Iter [108700/160000] lr: 3.054e-06, eta: 8:21:15, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2167, decode.loss_mask: 0.4501, decode.loss_dice: 0.6928, decode.d0.loss_cls: 1.3468, decode.d0.loss_mask: 0.4850, decode.d0.loss_dice: 0.7690, decode.d1.loss_cls: 0.3067, decode.d1.loss_mask: 0.4652, decode.d1.loss_dice: 0.7294, decode.d2.loss_cls: 0.2513, decode.d2.loss_mask: 0.4604, decode.d2.loss_dice: 0.7105, decode.d3.loss_cls: 0.2330, decode.d3.loss_mask: 0.4536, decode.d3.loss_dice: 0.7021, decode.d4.loss_cls: 0.2266, decode.d4.loss_mask: 0.4538, decode.d4.loss_dice: 0.7011, decode.d5.loss_cls: 0.2239, decode.d5.loss_mask: 0.4538, decode.d5.loss_dice: 0.7001, decode.d6.loss_cls: 0.2192, decode.d6.loss_mask: 0.4505, decode.d6.loss_dice: 0.6940, decode.d7.loss_cls: 0.2180, decode.d7.loss_mask: 0.4511, decode.d7.loss_dice: 0.6916, decode.d8.loss_cls: 0.2181, decode.d8.loss_mask: 0.4508, decode.d8.loss_dice: 0.6944, loss: 15.1197, grad_norm: 66.9568 2023-11-22 14:58:03,856 - mmseg - INFO - Iter [108750/160000] lr: 3.051e-06, eta: 8:20:45, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2097, decode.loss_mask: 0.4542, decode.loss_dice: 0.7195, decode.d0.loss_cls: 1.3410, decode.d0.loss_mask: 0.4845, decode.d0.loss_dice: 0.7916, decode.d1.loss_cls: 0.2948, decode.d1.loss_mask: 0.4695, decode.d1.loss_dice: 0.7525, decode.d2.loss_cls: 0.2469, decode.d2.loss_mask: 0.4610, decode.d2.loss_dice: 0.7336, decode.d3.loss_cls: 0.2259, decode.d3.loss_mask: 0.4586, decode.d3.loss_dice: 0.7271, decode.d4.loss_cls: 0.2163, decode.d4.loss_mask: 0.4555, decode.d4.loss_dice: 0.7222, decode.d5.loss_cls: 0.2104, decode.d5.loss_mask: 0.4564, decode.d5.loss_dice: 0.7227, decode.d6.loss_cls: 0.2141, decode.d6.loss_mask: 0.4553, decode.d6.loss_dice: 0.7183, decode.d7.loss_cls: 0.2099, decode.d7.loss_mask: 0.4543, decode.d7.loss_dice: 0.7195, decode.d8.loss_cls: 0.2080, decode.d8.loss_mask: 0.4546, decode.d8.loss_dice: 0.7193, loss: 15.3070, grad_norm: 69.9013 2023-11-22 14:58:32,631 - mmseg - INFO - Iter [108800/160000] lr: 3.048e-06, eta: 8:20:16, time: 0.575, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2029, decode.loss_mask: 0.4634, decode.loss_dice: 0.6966, decode.d0.loss_cls: 1.3165, decode.d0.loss_mask: 0.5022, decode.d0.loss_dice: 0.7758, decode.d1.loss_cls: 0.2880, decode.d1.loss_mask: 0.4836, decode.d1.loss_dice: 0.7337, decode.d2.loss_cls: 0.2333, decode.d2.loss_mask: 0.4715, decode.d2.loss_dice: 0.7122, decode.d3.loss_cls: 0.2162, decode.d3.loss_mask: 0.4681, decode.d3.loss_dice: 0.6979, decode.d4.loss_cls: 0.2138, decode.d4.loss_mask: 0.4654, decode.d4.loss_dice: 0.6987, decode.d5.loss_cls: 0.2032, decode.d5.loss_mask: 0.4638, decode.d5.loss_dice: 0.6999, decode.d6.loss_cls: 0.2014, decode.d6.loss_mask: 0.4638, decode.d6.loss_dice: 0.6942, decode.d7.loss_cls: 0.1980, decode.d7.loss_mask: 0.4642, decode.d7.loss_dice: 0.6942, decode.d8.loss_cls: 0.2003, decode.d8.loss_mask: 0.4634, decode.d8.loss_dice: 0.6993, loss: 15.0858, grad_norm: 68.0472 2023-11-22 14:59:00,922 - mmseg - INFO - Iter [108850/160000] lr: 3.045e-06, eta: 8:19:46, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2100, decode.loss_mask: 0.4590, decode.loss_dice: 0.6932, decode.d0.loss_cls: 1.3137, decode.d0.loss_mask: 0.4930, decode.d0.loss_dice: 0.7763, decode.d1.loss_cls: 0.2865, decode.d1.loss_mask: 0.4744, decode.d1.loss_dice: 0.7377, decode.d2.loss_cls: 0.2414, decode.d2.loss_mask: 0.4681, decode.d2.loss_dice: 0.7208, decode.d3.loss_cls: 0.2298, decode.d3.loss_mask: 0.4636, decode.d3.loss_dice: 0.6989, decode.d4.loss_cls: 0.2185, decode.d4.loss_mask: 0.4629, decode.d4.loss_dice: 0.7031, decode.d5.loss_cls: 0.2157, decode.d5.loss_mask: 0.4614, decode.d5.loss_dice: 0.6998, decode.d6.loss_cls: 0.2128, decode.d6.loss_mask: 0.4594, decode.d6.loss_dice: 0.6912, decode.d7.loss_cls: 0.2083, decode.d7.loss_mask: 0.4594, decode.d7.loss_dice: 0.6979, decode.d8.loss_cls: 0.2072, decode.d8.loss_mask: 0.4598, decode.d8.loss_dice: 0.6953, loss: 15.1192, grad_norm: 68.9337 2023-11-22 14:59:29,181 - mmseg - INFO - Iter [108900/160000] lr: 3.042e-06, eta: 8:19:16, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2224, decode.loss_mask: 0.4703, decode.loss_dice: 0.7127, decode.d0.loss_cls: 1.3243, decode.d0.loss_mask: 0.5000, decode.d0.loss_dice: 0.7989, decode.d1.loss_cls: 0.2942, decode.d1.loss_mask: 0.4897, decode.d1.loss_dice: 0.7522, decode.d2.loss_cls: 0.2526, decode.d2.loss_mask: 0.4788, decode.d2.loss_dice: 0.7367, decode.d3.loss_cls: 0.2328, decode.d3.loss_mask: 0.4758, decode.d3.loss_dice: 0.7183, decode.d4.loss_cls: 0.2236, decode.d4.loss_mask: 0.4741, decode.d4.loss_dice: 0.7207, decode.d5.loss_cls: 0.2240, decode.d5.loss_mask: 0.4743, decode.d5.loss_dice: 0.7222, decode.d6.loss_cls: 0.2197, decode.d6.loss_mask: 0.4714, decode.d6.loss_dice: 0.7174, decode.d7.loss_cls: 0.2144, decode.d7.loss_mask: 0.4721, decode.d7.loss_dice: 0.7160, decode.d8.loss_cls: 0.2190, decode.d8.loss_mask: 0.4720, decode.d8.loss_dice: 0.7151, loss: 15.5155, grad_norm: 71.1734 2023-11-22 14:59:57,562 - mmseg - INFO - Iter [108950/160000] lr: 3.039e-06, eta: 8:18:46, time: 0.568, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1989, decode.loss_mask: 0.4453, decode.loss_dice: 0.6908, decode.d0.loss_cls: 1.2836, decode.d0.loss_mask: 0.4787, decode.d0.loss_dice: 0.7735, decode.d1.loss_cls: 0.2781, decode.d1.loss_mask: 0.4644, decode.d1.loss_dice: 0.7360, decode.d2.loss_cls: 0.2355, decode.d2.loss_mask: 0.4522, decode.d2.loss_dice: 0.7110, decode.d3.loss_cls: 0.2122, decode.d3.loss_mask: 0.4483, decode.d3.loss_dice: 0.7009, decode.d4.loss_cls: 0.2029, decode.d4.loss_mask: 0.4471, decode.d4.loss_dice: 0.7003, decode.d5.loss_cls: 0.2030, decode.d5.loss_mask: 0.4468, decode.d5.loss_dice: 0.6972, decode.d6.loss_cls: 0.2003, decode.d6.loss_mask: 0.4479, decode.d6.loss_dice: 0.6953, decode.d7.loss_cls: 0.2013, decode.d7.loss_mask: 0.4464, decode.d7.loss_dice: 0.6928, decode.d8.loss_cls: 0.1963, decode.d8.loss_mask: 0.4466, decode.d8.loss_dice: 0.6907, loss: 14.8242, grad_norm: 69.2289 2023-11-22 15:00:25,726 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 15:00:25,726 - mmseg - INFO - Iter [109000/160000] lr: 3.036e-06, eta: 8:18:17, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2029, decode.loss_mask: 0.4674, decode.loss_dice: 0.6964, decode.d0.loss_cls: 1.2912, decode.d0.loss_mask: 0.5012, decode.d0.loss_dice: 0.7705, decode.d1.loss_cls: 0.2863, decode.d1.loss_mask: 0.4876, decode.d1.loss_dice: 0.7337, decode.d2.loss_cls: 0.2397, decode.d2.loss_mask: 0.4779, decode.d2.loss_dice: 0.7146, decode.d3.loss_cls: 0.2205, decode.d3.loss_mask: 0.4740, decode.d3.loss_dice: 0.7007, decode.d4.loss_cls: 0.2110, decode.d4.loss_mask: 0.4735, decode.d4.loss_dice: 0.6973, decode.d5.loss_cls: 0.2104, decode.d5.loss_mask: 0.4725, decode.d5.loss_dice: 0.6950, decode.d6.loss_cls: 0.2103, decode.d6.loss_mask: 0.4695, decode.d6.loss_dice: 0.6953, decode.d7.loss_cls: 0.2025, decode.d7.loss_mask: 0.4676, decode.d7.loss_dice: 0.6938, decode.d8.loss_cls: 0.2002, decode.d8.loss_mask: 0.4690, decode.d8.loss_dice: 0.6996, loss: 15.1320, grad_norm: 72.7227 2023-11-22 15:00:54,126 - mmseg - INFO - Iter [109050/160000] lr: 3.033e-06, eta: 8:17:47, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2073, decode.loss_mask: 0.4951, decode.loss_dice: 0.7123, decode.d0.loss_cls: 1.2906, decode.d0.loss_mask: 0.5316, decode.d0.loss_dice: 0.7879, decode.d1.loss_cls: 0.2905, decode.d1.loss_mask: 0.5158, decode.d1.loss_dice: 0.7484, decode.d2.loss_cls: 0.2425, decode.d2.loss_mask: 0.5069, decode.d2.loss_dice: 0.7282, decode.d3.loss_cls: 0.2229, decode.d3.loss_mask: 0.4997, decode.d3.loss_dice: 0.7135, decode.d4.loss_cls: 0.2166, decode.d4.loss_mask: 0.4999, decode.d4.loss_dice: 0.7158, decode.d5.loss_cls: 0.2170, decode.d5.loss_mask: 0.5004, decode.d5.loss_dice: 0.7152, decode.d6.loss_cls: 0.2080, decode.d6.loss_mask: 0.5001, decode.d6.loss_dice: 0.7146, decode.d7.loss_cls: 0.2058, decode.d7.loss_mask: 0.4996, decode.d7.loss_dice: 0.7158, decode.d8.loss_cls: 0.2073, decode.d8.loss_mask: 0.4966, decode.d8.loss_dice: 0.7151, loss: 15.6212, grad_norm: 73.1835 2023-11-22 15:01:22,784 - mmseg - INFO - Iter [109100/160000] lr: 3.030e-06, eta: 8:17:17, time: 0.575, data_time: 0.015, memory: 38143, decode.loss_cls: 0.1993, decode.loss_mask: 0.4646, decode.loss_dice: 0.7044, decode.d0.loss_cls: 1.3057, decode.d0.loss_mask: 0.4972, decode.d0.loss_dice: 0.7860, decode.d1.loss_cls: 0.2849, decode.d1.loss_mask: 0.4790, decode.d1.loss_dice: 0.7445, decode.d2.loss_cls: 0.2336, decode.d2.loss_mask: 0.4714, decode.d2.loss_dice: 0.7246, decode.d3.loss_cls: 0.2202, decode.d3.loss_mask: 0.4632, decode.d3.loss_dice: 0.7078, decode.d4.loss_cls: 0.2110, decode.d4.loss_mask: 0.4647, decode.d4.loss_dice: 0.7092, decode.d5.loss_cls: 0.2085, decode.d5.loss_mask: 0.4646, decode.d5.loss_dice: 0.7072, decode.d6.loss_cls: 0.2114, decode.d6.loss_mask: 0.4613, decode.d6.loss_dice: 0.7065, decode.d7.loss_cls: 0.2054, decode.d7.loss_mask: 0.4621, decode.d7.loss_dice: 0.7033, decode.d8.loss_cls: 0.2052, decode.d8.loss_mask: 0.4625, decode.d8.loss_dice: 0.7036, loss: 15.1725, grad_norm: 74.3975 2023-11-22 15:01:51,156 - mmseg - INFO - Iter [109150/160000] lr: 3.027e-06, eta: 8:16:48, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1899, decode.loss_mask: 0.4924, decode.loss_dice: 0.6965, decode.d0.loss_cls: 1.2511, decode.d0.loss_mask: 0.5282, decode.d0.loss_dice: 0.7645, decode.d1.loss_cls: 0.2717, decode.d1.loss_mask: 0.5120, decode.d1.loss_dice: 0.7252, decode.d2.loss_cls: 0.2258, decode.d2.loss_mask: 0.5016, decode.d2.loss_dice: 0.7164, decode.d3.loss_cls: 0.2030, decode.d3.loss_mask: 0.4945, decode.d3.loss_dice: 0.7043, decode.d4.loss_cls: 0.1956, decode.d4.loss_mask: 0.4938, decode.d4.loss_dice: 0.7038, decode.d5.loss_cls: 0.1961, decode.d5.loss_mask: 0.4949, decode.d5.loss_dice: 0.7007, decode.d6.loss_cls: 0.1958, decode.d6.loss_mask: 0.4929, decode.d6.loss_dice: 0.6968, decode.d7.loss_cls: 0.1878, decode.d7.loss_mask: 0.4945, decode.d7.loss_dice: 0.6956, decode.d8.loss_cls: 0.1892, decode.d8.loss_mask: 0.4923, decode.d8.loss_dice: 0.6960, loss: 15.2029, grad_norm: 76.9997 2023-11-22 15:02:19,393 - mmseg - INFO - Iter [109200/160000] lr: 3.024e-06, eta: 8:16:18, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2192, decode.loss_mask: 0.4677, decode.loss_dice: 0.7039, decode.d0.loss_cls: 1.3041, decode.d0.loss_mask: 0.5053, decode.d0.loss_dice: 0.7898, decode.d1.loss_cls: 0.2996, decode.d1.loss_mask: 0.4862, decode.d1.loss_dice: 0.7426, decode.d2.loss_cls: 0.2488, decode.d2.loss_mask: 0.4757, decode.d2.loss_dice: 0.7230, decode.d3.loss_cls: 0.2307, decode.d3.loss_mask: 0.4701, decode.d3.loss_dice: 0.7056, decode.d4.loss_cls: 0.2278, decode.d4.loss_mask: 0.4700, decode.d4.loss_dice: 0.7109, decode.d5.loss_cls: 0.2257, decode.d5.loss_mask: 0.4687, decode.d5.loss_dice: 0.7082, decode.d6.loss_cls: 0.2190, decode.d6.loss_mask: 0.4678, decode.d6.loss_dice: 0.7030, decode.d7.loss_cls: 0.2181, decode.d7.loss_mask: 0.4685, decode.d7.loss_dice: 0.7043, decode.d8.loss_cls: 0.2150, decode.d8.loss_mask: 0.4676, decode.d8.loss_dice: 0.7068, loss: 15.3537, grad_norm: 67.8172 2023-11-22 15:02:47,894 - mmseg - INFO - Iter [109250/160000] lr: 3.021e-06, eta: 8:15:48, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2061, decode.loss_mask: 0.4834, decode.loss_dice: 0.7053, decode.d0.loss_cls: 1.3288, decode.d0.loss_mask: 0.5196, decode.d0.loss_dice: 0.7849, decode.d1.loss_cls: 0.2830, decode.d1.loss_mask: 0.5008, decode.d1.loss_dice: 0.7441, decode.d2.loss_cls: 0.2398, decode.d2.loss_mask: 0.4937, decode.d2.loss_dice: 0.7291, decode.d3.loss_cls: 0.2189, decode.d3.loss_mask: 0.4920, decode.d3.loss_dice: 0.7199, decode.d4.loss_cls: 0.2152, decode.d4.loss_mask: 0.4898, decode.d4.loss_dice: 0.7176, decode.d5.loss_cls: 0.2098, decode.d5.loss_mask: 0.4852, decode.d5.loss_dice: 0.7131, decode.d6.loss_cls: 0.2083, decode.d6.loss_mask: 0.4861, decode.d6.loss_dice: 0.7110, decode.d7.loss_cls: 0.2057, decode.d7.loss_mask: 0.4843, decode.d7.loss_dice: 0.7088, decode.d8.loss_cls: 0.2046, decode.d8.loss_mask: 0.4838, decode.d8.loss_dice: 0.7094, loss: 15.4818, grad_norm: 68.9113 2023-11-22 15:03:16,092 - mmseg - INFO - Iter [109300/160000] lr: 3.018e-06, eta: 8:15:18, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2059, decode.loss_mask: 0.4605, decode.loss_dice: 0.7072, decode.d0.loss_cls: 1.3053, decode.d0.loss_mask: 0.4960, decode.d0.loss_dice: 0.7769, decode.d1.loss_cls: 0.2854, decode.d1.loss_mask: 0.4756, decode.d1.loss_dice: 0.7373, decode.d2.loss_cls: 0.2444, decode.d2.loss_mask: 0.4656, decode.d2.loss_dice: 0.7200, decode.d3.loss_cls: 0.2223, decode.d3.loss_mask: 0.4634, decode.d3.loss_dice: 0.7059, decode.d4.loss_cls: 0.2217, decode.d4.loss_mask: 0.4604, decode.d4.loss_dice: 0.7126, decode.d5.loss_cls: 0.2156, decode.d5.loss_mask: 0.4606, decode.d5.loss_dice: 0.7067, decode.d6.loss_cls: 0.2138, decode.d6.loss_mask: 0.4601, decode.d6.loss_dice: 0.6992, decode.d7.loss_cls: 0.2123, decode.d7.loss_mask: 0.4599, decode.d7.loss_dice: 0.7029, decode.d8.loss_cls: 0.2112, decode.d8.loss_mask: 0.4593, decode.d8.loss_dice: 0.7039, loss: 15.1720, grad_norm: 66.5333 2023-11-22 15:03:44,490 - mmseg - INFO - Iter [109350/160000] lr: 3.015e-06, eta: 8:14:48, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1991, decode.loss_mask: 0.4620, decode.loss_dice: 0.7033, decode.d0.loss_cls: 1.3130, decode.d0.loss_mask: 0.4939, decode.d0.loss_dice: 0.7845, decode.d1.loss_cls: 0.2844, decode.d1.loss_mask: 0.4799, decode.d1.loss_dice: 0.7441, decode.d2.loss_cls: 0.2351, decode.d2.loss_mask: 0.4710, decode.d2.loss_dice: 0.7262, decode.d3.loss_cls: 0.2218, decode.d3.loss_mask: 0.4671, decode.d3.loss_dice: 0.7137, decode.d4.loss_cls: 0.2173, decode.d4.loss_mask: 0.4628, decode.d4.loss_dice: 0.7074, decode.d5.loss_cls: 0.2113, decode.d5.loss_mask: 0.4663, decode.d5.loss_dice: 0.7133, decode.d6.loss_cls: 0.2108, decode.d6.loss_mask: 0.4643, decode.d6.loss_dice: 0.7060, decode.d7.loss_cls: 0.2087, decode.d7.loss_mask: 0.4638, decode.d7.loss_dice: 0.7048, decode.d8.loss_cls: 0.1978, decode.d8.loss_mask: 0.4616, decode.d8.loss_dice: 0.7079, loss: 15.2033, grad_norm: 65.3617 2023-11-22 15:04:13,220 - mmseg - INFO - Iter [109400/160000] lr: 3.012e-06, eta: 8:14:19, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2058, decode.loss_mask: 0.4584, decode.loss_dice: 0.6903, decode.d0.loss_cls: 1.2874, decode.d0.loss_mask: 0.4912, decode.d0.loss_dice: 0.7685, decode.d1.loss_cls: 0.2839, decode.d1.loss_mask: 0.4749, decode.d1.loss_dice: 0.7287, decode.d2.loss_cls: 0.2431, decode.d2.loss_mask: 0.4685, decode.d2.loss_dice: 0.7145, decode.d3.loss_cls: 0.2268, decode.d3.loss_mask: 0.4614, decode.d3.loss_dice: 0.6968, decode.d4.loss_cls: 0.2146, decode.d4.loss_mask: 0.4597, decode.d4.loss_dice: 0.6993, decode.d5.loss_cls: 0.2124, decode.d5.loss_mask: 0.4603, decode.d5.loss_dice: 0.6988, decode.d6.loss_cls: 0.2086, decode.d6.loss_mask: 0.4584, decode.d6.loss_dice: 0.6907, decode.d7.loss_cls: 0.2049, decode.d7.loss_mask: 0.4572, decode.d7.loss_dice: 0.6890, decode.d8.loss_cls: 0.2056, decode.d8.loss_mask: 0.4574, decode.d8.loss_dice: 0.6905, loss: 15.0075, grad_norm: 62.0160 2023-11-22 15:04:41,921 - mmseg - INFO - Iter [109450/160000] lr: 3.009e-06, eta: 8:13:49, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1917, decode.loss_mask: 0.4784, decode.loss_dice: 0.7081, decode.d0.loss_cls: 1.3095, decode.d0.loss_mask: 0.5125, decode.d0.loss_dice: 0.7819, decode.d1.loss_cls: 0.2786, decode.d1.loss_mask: 0.4974, decode.d1.loss_dice: 0.7439, decode.d2.loss_cls: 0.2323, decode.d2.loss_mask: 0.4859, decode.d2.loss_dice: 0.7203, decode.d3.loss_cls: 0.2149, decode.d3.loss_mask: 0.4802, decode.d3.loss_dice: 0.7119, decode.d4.loss_cls: 0.2048, decode.d4.loss_mask: 0.4824, decode.d4.loss_dice: 0.7136, decode.d5.loss_cls: 0.2063, decode.d5.loss_mask: 0.4795, decode.d5.loss_dice: 0.7098, decode.d6.loss_cls: 0.2007, decode.d6.loss_mask: 0.4797, decode.d6.loss_dice: 0.7086, decode.d7.loss_cls: 0.1909, decode.d7.loss_mask: 0.4789, decode.d7.loss_dice: 0.7067, decode.d8.loss_cls: 0.1928, decode.d8.loss_mask: 0.4786, decode.d8.loss_dice: 0.7083, loss: 15.2890, grad_norm: 67.2637 2023-11-22 15:05:10,170 - mmseg - INFO - Iter [109500/160000] lr: 3.006e-06, eta: 8:13:20, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2201, decode.loss_mask: 0.4773, decode.loss_dice: 0.7059, decode.d0.loss_cls: 1.3056, decode.d0.loss_mask: 0.5111, decode.d0.loss_dice: 0.7861, decode.d1.loss_cls: 0.3024, decode.d1.loss_mask: 0.4989, decode.d1.loss_dice: 0.7410, decode.d2.loss_cls: 0.2525, decode.d2.loss_mask: 0.4869, decode.d2.loss_dice: 0.7279, decode.d3.loss_cls: 0.2340, decode.d3.loss_mask: 0.4836, decode.d3.loss_dice: 0.7137, decode.d4.loss_cls: 0.2322, decode.d4.loss_mask: 0.4803, decode.d4.loss_dice: 0.7136, decode.d5.loss_cls: 0.2286, decode.d5.loss_mask: 0.4801, decode.d5.loss_dice: 0.7134, decode.d6.loss_cls: 0.2277, decode.d6.loss_mask: 0.4785, decode.d6.loss_dice: 0.7088, decode.d7.loss_cls: 0.2213, decode.d7.loss_mask: 0.4787, decode.d7.loss_dice: 0.7081, decode.d8.loss_cls: 0.2212, decode.d8.loss_mask: 0.4784, decode.d8.loss_dice: 0.7048, loss: 15.5230, grad_norm: 70.5619 2023-11-22 15:05:38,692 - mmseg - INFO - Iter [109550/160000] lr: 3.003e-06, eta: 8:12:50, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2151, decode.loss_mask: 0.4694, decode.loss_dice: 0.7059, decode.d0.loss_cls: 1.3214, decode.d0.loss_mask: 0.5035, decode.d0.loss_dice: 0.7869, decode.d1.loss_cls: 0.2877, decode.d1.loss_mask: 0.4894, decode.d1.loss_dice: 0.7477, decode.d2.loss_cls: 0.2446, decode.d2.loss_mask: 0.4801, decode.d2.loss_dice: 0.7300, decode.d3.loss_cls: 0.2293, decode.d3.loss_mask: 0.4753, decode.d3.loss_dice: 0.7117, decode.d4.loss_cls: 0.2261, decode.d4.loss_mask: 0.4750, decode.d4.loss_dice: 0.7145, decode.d5.loss_cls: 0.2182, decode.d5.loss_mask: 0.4736, decode.d5.loss_dice: 0.7125, decode.d6.loss_cls: 0.2165, decode.d6.loss_mask: 0.4731, decode.d6.loss_dice: 0.7071, decode.d7.loss_cls: 0.2179, decode.d7.loss_mask: 0.4692, decode.d7.loss_dice: 0.7002, decode.d8.loss_cls: 0.2101, decode.d8.loss_mask: 0.4719, decode.d8.loss_dice: 0.7097, loss: 15.3935, grad_norm: 64.6263 2023-11-22 15:06:06,830 - mmseg - INFO - Iter [109600/160000] lr: 3.000e-06, eta: 8:12:20, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2234, decode.loss_mask: 0.4602, decode.loss_dice: 0.7001, decode.d0.loss_cls: 1.3268, decode.d0.loss_mask: 0.4931, decode.d0.loss_dice: 0.7911, decode.d1.loss_cls: 0.3201, decode.d1.loss_mask: 0.4775, decode.d1.loss_dice: 0.7346, decode.d2.loss_cls: 0.2664, decode.d2.loss_mask: 0.4722, decode.d2.loss_dice: 0.7149, decode.d3.loss_cls: 0.2470, decode.d3.loss_mask: 0.4672, decode.d3.loss_dice: 0.7057, decode.d4.loss_cls: 0.2420, decode.d4.loss_mask: 0.4636, decode.d4.loss_dice: 0.7018, decode.d5.loss_cls: 0.2356, decode.d5.loss_mask: 0.4631, decode.d5.loss_dice: 0.6978, decode.d6.loss_cls: 0.2312, decode.d6.loss_mask: 0.4615, decode.d6.loss_dice: 0.6997, decode.d7.loss_cls: 0.2266, decode.d7.loss_mask: 0.4594, decode.d7.loss_dice: 0.6985, decode.d8.loss_cls: 0.2230, decode.d8.loss_mask: 0.4622, decode.d8.loss_dice: 0.7061, loss: 15.3727, grad_norm: 75.3018 2023-11-22 15:06:35,357 - mmseg - INFO - Iter [109650/160000] lr: 2.997e-06, eta: 8:11:50, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2077, decode.loss_mask: 0.4779, decode.loss_dice: 0.7118, decode.d0.loss_cls: 1.2909, decode.d0.loss_mask: 0.5175, decode.d0.loss_dice: 0.7898, decode.d1.loss_cls: 0.2959, decode.d1.loss_mask: 0.4924, decode.d1.loss_dice: 0.7454, decode.d2.loss_cls: 0.2441, decode.d2.loss_mask: 0.4830, decode.d2.loss_dice: 0.7337, decode.d3.loss_cls: 0.2253, decode.d3.loss_mask: 0.4813, decode.d3.loss_dice: 0.7182, decode.d4.loss_cls: 0.2216, decode.d4.loss_mask: 0.4789, decode.d4.loss_dice: 0.7197, decode.d5.loss_cls: 0.2145, decode.d5.loss_mask: 0.4797, decode.d5.loss_dice: 0.7206, decode.d6.loss_cls: 0.2098, decode.d6.loss_mask: 0.4784, decode.d6.loss_dice: 0.7139, decode.d7.loss_cls: 0.2094, decode.d7.loss_mask: 0.4783, decode.d7.loss_dice: 0.7157, decode.d8.loss_cls: 0.2094, decode.d8.loss_mask: 0.4788, decode.d8.loss_dice: 0.7118, loss: 15.4552, grad_norm: 66.0197 2023-11-22 15:07:04,032 - mmseg - INFO - Iter [109700/160000] lr: 2.994e-06, eta: 8:11:21, time: 0.575, data_time: 0.015, memory: 38143, decode.loss_cls: 0.2100, decode.loss_mask: 0.4619, decode.loss_dice: 0.6958, decode.d0.loss_cls: 1.2894, decode.d0.loss_mask: 0.4915, decode.d0.loss_dice: 0.7810, decode.d1.loss_cls: 0.2930, decode.d1.loss_mask: 0.4777, decode.d1.loss_dice: 0.7317, decode.d2.loss_cls: 0.2409, decode.d2.loss_mask: 0.4695, decode.d2.loss_dice: 0.7132, decode.d3.loss_cls: 0.2221, decode.d3.loss_mask: 0.4645, decode.d3.loss_dice: 0.7044, decode.d4.loss_cls: 0.2197, decode.d4.loss_mask: 0.4627, decode.d4.loss_dice: 0.7019, decode.d5.loss_cls: 0.2182, decode.d5.loss_mask: 0.4612, decode.d5.loss_dice: 0.6986, decode.d6.loss_cls: 0.2127, decode.d6.loss_mask: 0.4633, decode.d6.loss_dice: 0.6959, decode.d7.loss_cls: 0.2075, decode.d7.loss_mask: 0.4612, decode.d7.loss_dice: 0.6966, decode.d8.loss_cls: 0.2094, decode.d8.loss_mask: 0.4619, decode.d8.loss_dice: 0.6980, loss: 15.1153, grad_norm: 70.2797 2023-11-22 15:07:32,602 - mmseg - INFO - Iter [109750/160000] lr: 2.991e-06, eta: 8:10:51, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2033, decode.loss_mask: 0.4593, decode.loss_dice: 0.6873, decode.d0.loss_cls: 1.2817, decode.d0.loss_mask: 0.4964, decode.d0.loss_dice: 0.7675, decode.d1.loss_cls: 0.2890, decode.d1.loss_mask: 0.4751, decode.d1.loss_dice: 0.7256, decode.d2.loss_cls: 0.2355, decode.d2.loss_mask: 0.4660, decode.d2.loss_dice: 0.7071, decode.d3.loss_cls: 0.2244, decode.d3.loss_mask: 0.4620, decode.d3.loss_dice: 0.6979, decode.d4.loss_cls: 0.2159, decode.d4.loss_mask: 0.4623, decode.d4.loss_dice: 0.6973, decode.d5.loss_cls: 0.2139, decode.d5.loss_mask: 0.4596, decode.d5.loss_dice: 0.6929, decode.d6.loss_cls: 0.2102, decode.d6.loss_mask: 0.4597, decode.d6.loss_dice: 0.6882, decode.d7.loss_cls: 0.2036, decode.d7.loss_mask: 0.4608, decode.d7.loss_dice: 0.6897, decode.d8.loss_cls: 0.2046, decode.d8.loss_mask: 0.4602, decode.d8.loss_dice: 0.6885, loss: 14.9854, grad_norm: 67.5725 2023-11-22 15:08:00,991 - mmseg - INFO - Iter [109800/160000] lr: 2.988e-06, eta: 8:10:21, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2284, decode.loss_mask: 0.4588, decode.loss_dice: 0.7088, decode.d0.loss_cls: 1.3256, decode.d0.loss_mask: 0.4994, decode.d0.loss_dice: 0.7916, decode.d1.loss_cls: 0.3011, decode.d1.loss_mask: 0.4788, decode.d1.loss_dice: 0.7491, decode.d2.loss_cls: 0.2612, decode.d2.loss_mask: 0.4723, decode.d2.loss_dice: 0.7349, decode.d3.loss_cls: 0.2488, decode.d3.loss_mask: 0.4645, decode.d3.loss_dice: 0.7136, decode.d4.loss_cls: 0.2395, decode.d4.loss_mask: 0.4633, decode.d4.loss_dice: 0.7165, decode.d5.loss_cls: 0.2357, decode.d5.loss_mask: 0.4645, decode.d5.loss_dice: 0.7175, decode.d6.loss_cls: 0.2332, decode.d6.loss_mask: 0.4613, decode.d6.loss_dice: 0.7057, decode.d7.loss_cls: 0.2310, decode.d7.loss_mask: 0.4602, decode.d7.loss_dice: 0.7106, decode.d8.loss_cls: 0.2263, decode.d8.loss_mask: 0.4595, decode.d8.loss_dice: 0.7093, loss: 15.4710, grad_norm: 73.0282 2023-11-22 15:08:29,460 - mmseg - INFO - Iter [109850/160000] lr: 2.986e-06, eta: 8:09:52, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2160, decode.loss_mask: 0.4751, decode.loss_dice: 0.7115, decode.d0.loss_cls: 1.2916, decode.d0.loss_mask: 0.5134, decode.d0.loss_dice: 0.7950, decode.d1.loss_cls: 0.2949, decode.d1.loss_mask: 0.4959, decode.d1.loss_dice: 0.7561, decode.d2.loss_cls: 0.2492, decode.d2.loss_mask: 0.4868, decode.d2.loss_dice: 0.7345, decode.d3.loss_cls: 0.2315, decode.d3.loss_mask: 0.4814, decode.d3.loss_dice: 0.7222, decode.d4.loss_cls: 0.2238, decode.d4.loss_mask: 0.4807, decode.d4.loss_dice: 0.7242, decode.d5.loss_cls: 0.2201, decode.d5.loss_mask: 0.4820, decode.d5.loss_dice: 0.7196, decode.d6.loss_cls: 0.2192, decode.d6.loss_mask: 0.4784, decode.d6.loss_dice: 0.7128, decode.d7.loss_cls: 0.2232, decode.d7.loss_mask: 0.4772, decode.d7.loss_dice: 0.7126, decode.d8.loss_cls: 0.2184, decode.d8.loss_mask: 0.4763, decode.d8.loss_dice: 0.7135, loss: 15.5370, grad_norm: 72.1450 2023-11-22 15:09:00,544 - mmseg - INFO - Iter [109900/160000] lr: 2.983e-06, eta: 8:09:23, time: 0.622, data_time: 0.060, memory: 38143, decode.loss_cls: 0.2252, decode.loss_mask: 0.4649, decode.loss_dice: 0.6820, decode.d0.loss_cls: 1.2990, decode.d0.loss_mask: 0.4947, decode.d0.loss_dice: 0.7596, decode.d1.loss_cls: 0.2889, decode.d1.loss_mask: 0.4819, decode.d1.loss_dice: 0.7280, decode.d2.loss_cls: 0.2522, decode.d2.loss_mask: 0.4698, decode.d2.loss_dice: 0.7020, decode.d3.loss_cls: 0.2322, decode.d3.loss_mask: 0.4662, decode.d3.loss_dice: 0.6943, decode.d4.loss_cls: 0.2262, decode.d4.loss_mask: 0.4660, decode.d4.loss_dice: 0.6872, decode.d5.loss_cls: 0.2239, decode.d5.loss_mask: 0.4673, decode.d5.loss_dice: 0.6873, decode.d6.loss_cls: 0.2242, decode.d6.loss_mask: 0.4655, decode.d6.loss_dice: 0.6843, decode.d7.loss_cls: 0.2246, decode.d7.loss_mask: 0.4648, decode.d7.loss_dice: 0.6802, decode.d8.loss_cls: 0.2258, decode.d8.loss_mask: 0.4644, decode.d8.loss_dice: 0.6827, loss: 15.1154, grad_norm: 71.8723 2023-11-22 15:09:29,171 - mmseg - INFO - Iter [109950/160000] lr: 2.980e-06, eta: 8:08:54, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2002, decode.loss_mask: 0.4589, decode.loss_dice: 0.6716, decode.d0.loss_cls: 1.2980, decode.d0.loss_mask: 0.4997, decode.d0.loss_dice: 0.7519, decode.d1.loss_cls: 0.2757, decode.d1.loss_mask: 0.4825, decode.d1.loss_dice: 0.7159, decode.d2.loss_cls: 0.2381, decode.d2.loss_mask: 0.4716, decode.d2.loss_dice: 0.6917, decode.d3.loss_cls: 0.2184, decode.d3.loss_mask: 0.4635, decode.d3.loss_dice: 0.6828, decode.d4.loss_cls: 0.2136, decode.d4.loss_mask: 0.4640, decode.d4.loss_dice: 0.6786, decode.d5.loss_cls: 0.2109, decode.d5.loss_mask: 0.4637, decode.d5.loss_dice: 0.6809, decode.d6.loss_cls: 0.2102, decode.d6.loss_mask: 0.4601, decode.d6.loss_dice: 0.6768, decode.d7.loss_cls: 0.2027, decode.d7.loss_mask: 0.4624, decode.d7.loss_dice: 0.6752, decode.d8.loss_cls: 0.2072, decode.d8.loss_mask: 0.4586, decode.d8.loss_dice: 0.6736, loss: 14.8591, grad_norm: 72.9068 2023-11-22 15:09:57,876 - mmseg - INFO - Saving checkpoint at 110000 iterations 2023-11-22 15:10:05,996 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 15:10:05,996 - mmseg - INFO - Iter [110000/160000] lr: 2.977e-06, eta: 8:08:28, time: 0.737, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2170, decode.loss_mask: 0.4601, decode.loss_dice: 0.6862, decode.d0.loss_cls: 1.3130, decode.d0.loss_mask: 0.4933, decode.d0.loss_dice: 0.7712, decode.d1.loss_cls: 0.2958, decode.d1.loss_mask: 0.4821, decode.d1.loss_dice: 0.7318, decode.d2.loss_cls: 0.2414, decode.d2.loss_mask: 0.4723, decode.d2.loss_dice: 0.7144, decode.d3.loss_cls: 0.2263, decode.d3.loss_mask: 0.4670, decode.d3.loss_dice: 0.6976, decode.d4.loss_cls: 0.2209, decode.d4.loss_mask: 0.4659, decode.d4.loss_dice: 0.6991, decode.d5.loss_cls: 0.2174, decode.d5.loss_mask: 0.4648, decode.d5.loss_dice: 0.6947, decode.d6.loss_cls: 0.2181, decode.d6.loss_mask: 0.4632, decode.d6.loss_dice: 0.6932, decode.d7.loss_cls: 0.2129, decode.d7.loss_mask: 0.4634, decode.d7.loss_dice: 0.6915, decode.d8.loss_cls: 0.2180, decode.d8.loss_mask: 0.4598, decode.d8.loss_dice: 0.6890, loss: 15.1412, grad_norm: 70.7546 2023-11-22 15:10:25,623 - mmseg - INFO - per class results: 2023-11-22 15:10:25,629 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.84 | 87.63 | | building | 83.13 | 91.61 | | sky | 95.11 | 97.55 | | floor | 84.55 | 90.76 | | tree | 76.17 | 89.18 | | ceiling | 85.47 | 93.14 | | road | 87.41 | 91.94 | | bed | 91.46 | 95.28 | | windowpane | 64.22 | 81.7 | | grass | 69.22 | 79.99 | | cabinet | 64.17 | 75.69 | | sidewalk | 71.46 | 84.25 | | person | 86.14 | 93.29 | | earth | 41.39 | 55.7 | | door | 54.4 | 68.57 | | table | 67.92 | 84.67 | | mountain | 59.06 | 71.97 | | plant | 53.68 | 66.7 | | curtain | 74.69 | 85.83 | | chair | 63.59 | 73.48 | | car | 87.74 | 94.31 | | water | 59.49 | 72.78 | | painting | 74.27 | 90.87 | | sofa | 72.87 | 86.21 | | shelf | 44.74 | 58.66 | | house | 39.34 | 58.21 | | sea | 62.11 | 84.08 | | mirror | 75.82 | 83.82 | | rug | 68.7 | 82.14 | | field | 31.63 | 58.88 | | armchair | 52.13 | 76.32 | | seat | 64.32 | 89.19 | | fence | 55.75 | 71.37 | | desk | 59.05 | 78.48 | | rock | 51.0 | 72.66 | | wardrobe | 47.38 | 73.0 | | lamp | 73.62 | 82.6 | | bathtub | 75.8 | 87.51 | | railing | 38.27 | 55.01 | | cushion | 65.45 | 72.37 | | base | 45.55 | 72.91 | | box | 32.56 | 44.59 | | column | 51.11 | 70.51 | | signboard | 40.98 | 59.07 | | chest of drawers | 38.7 | 59.65 | | counter | 46.66 | 58.98 | | sand | 46.22 | 70.27 | | sink | 82.43 | 87.19 | | skyscraper | 43.65 | 55.26 | | fireplace | 78.88 | 92.4 | | refrigerator | 80.32 | 85.44 | | grandstand | 49.95 | 81.16 | | path | 25.04 | 44.77 | | stairs | 47.52 | 60.62 | | runway | 71.45 | 91.47 | | case | 60.84 | 87.63 | | pool table | 95.33 | 97.91 | | pillow | 64.3 | 78.35 | | screen door | 75.01 | 86.61 | | stairway | 40.33 | 47.27 | | river | 13.55 | 27.2 | | bridge | 79.15 | 91.98 | | bookcase | 29.96 | 53.84 | | blind | 40.13 | 47.73 | | coffee table | 70.87 | 86.98 | | toilet | 91.57 | 94.08 | | flower | 44.67 | 64.47 | | book | 52.25 | 74.4 | | hill | 9.0 | 15.77 | | bench | 60.58 | 76.26 | | countertop | 63.4 | 79.16 | | stove | 86.21 | 90.99 | | palm | 55.61 | 81.51 | | kitchen island | 48.31 | 70.39 | | computer | 74.07 | 81.92 | | swivel chair | 42.53 | 67.61 | | boat | 36.2 | 56.61 | | bar | 61.93 | 69.28 | | arcade machine | 76.25 | 83.16 | | hovel | 64.71 | 75.0 | | bus | 84.85 | 96.36 | | towel | 72.66 | 89.09 | | light | 66.84 | 79.48 | | truck | 22.46 | 28.65 | | tower | 36.27 | 63.62 | | chandelier | 72.35 | 88.14 | | awning | 34.97 | 52.41 | | streetlight | 47.48 | 64.48 | | booth | 51.95 | 69.05 | | television receiver | 77.77 | 86.55 | | airplane | 68.26 | 73.28 | | dirt track | 14.75 | 15.95 | | apparel | 50.69 | 76.41 | | pole | 37.29 | 57.95 | | land | 3.79 | 6.9 | | bannister | 25.1 | 40.23 | | escalator | 25.71 | 28.38 | | ottoman | 51.34 | 71.35 | | bottle | 41.01 | 67.86 | | buffet | 53.44 | 66.26 | | poster | 27.06 | 45.15 | | stage | 19.65 | 39.27 | | van | 45.87 | 69.39 | | ship | 9.47 | 17.75 | | fountain | 21.45 | 21.94 | | conveyer belt | 42.7 | 90.77 | | canopy | 25.55 | 51.31 | | washer | 71.38 | 74.9 | | plaything | 39.95 | 56.46 | | swimming pool | 41.32 | 49.89 | | stool | 52.36 | 75.05 | | barrel | 85.26 | 98.92 | | basket | 40.89 | 57.19 | | waterfall | 77.46 | 88.71 | | tent | 94.56 | 98.27 | | bag | 24.62 | 32.73 | | minibike | 74.71 | 92.25 | | cradle | 87.23 | 97.79 | | oven | 23.69 | 66.29 | | ball | 60.42 | 68.12 | | food | 56.56 | 62.61 | | step | 28.49 | 45.54 | | tank | 44.72 | 66.25 | | trade name | 26.31 | 32.15 | | microwave | 43.08 | 46.81 | | pot | 51.45 | 63.1 | | animal | 57.99 | 59.19 | | bicycle | 62.48 | 80.13 | | lake | 60.88 | 63.1 | | dishwasher | 76.68 | 83.29 | | screen | 55.8 | 92.05 | | blanket | 30.29 | 41.96 | | sculpture | 60.75 | 89.08 | | hood | 68.9 | 78.01 | | sconce | 62.74 | 74.48 | | vase | 56.55 | 74.83 | | traffic light | 46.76 | 73.17 | | tray | 22.59 | 34.01 | | ashcan | 49.38 | 76.05 | | fan | 70.4 | 85.95 | | pier | 23.92 | 31.86 | | crt screen | 3.32 | 10.1 | | plate | 64.03 | 82.87 | | monitor | 3.23 | 4.42 | | bulletin board | 56.18 | 80.91 | | shower | 9.23 | 22.55 | | radiator | 68.57 | 83.24 | | glass | 23.91 | 26.06 | | clock | 56.16 | 68.35 | | flag | 52.21 | 57.94 | +---------------------+-------+-------+ 2023-11-22 15:10:25,629 - mmseg - INFO - Summary: 2023-11-22 15:10:25,629 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.87 | 54.46 | 68.75 | +-------+-------+-------+ 2023-11-22 15:10:25,630 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 15:10:25,630 - mmseg - INFO - Iter(val) [250] aAcc: 0.8487, mIoU: 0.5446, mAcc: 0.6875, IoU.wall: 0.8084, IoU.building: 0.8313, IoU.sky: 0.9511, IoU.floor: 0.8455, IoU.tree: 0.7617, IoU.ceiling: 0.8547, IoU.road: 0.8741, IoU.bed : 0.9146, IoU.windowpane: 0.6422, IoU.grass: 0.6922, IoU.cabinet: 0.6417, IoU.sidewalk: 0.7146, IoU.person: 0.8614, IoU.earth: 0.4139, IoU.door: 0.5440, IoU.table: 0.6792, IoU.mountain: 0.5906, IoU.plant: 0.5368, IoU.curtain: 0.7469, IoU.chair: 0.6359, IoU.car: 0.8774, IoU.water: 0.5949, IoU.painting: 0.7427, IoU.sofa: 0.7287, IoU.shelf: 0.4474, IoU.house: 0.3934, IoU.sea: 0.6211, IoU.mirror: 0.7582, IoU.rug: 0.6870, IoU.field: 0.3163, IoU.armchair: 0.5213, IoU.seat: 0.6432, IoU.fence: 0.5575, IoU.desk: 0.5905, IoU.rock: 0.5100, IoU.wardrobe: 0.4738, IoU.lamp: 0.7362, IoU.bathtub: 0.7580, IoU.railing: 0.3827, IoU.cushion: 0.6545, IoU.base: 0.4555, IoU.box: 0.3256, IoU.column: 0.5111, IoU.signboard: 0.4098, IoU.chest of drawers: 0.3870, IoU.counter: 0.4666, IoU.sand: 0.4622, IoU.sink: 0.8243, IoU.skyscraper: 0.4365, IoU.fireplace: 0.7888, IoU.refrigerator: 0.8032, IoU.grandstand: 0.4995, IoU.path: 0.2504, IoU.stairs: 0.4752, IoU.runway: 0.7145, IoU.case: 0.6084, IoU.pool table: 0.9533, IoU.pillow: 0.6430, IoU.screen door: 0.7501, IoU.stairway: 0.4033, IoU.river: 0.1355, IoU.bridge: 0.7915, IoU.bookcase: 0.2996, IoU.blind: 0.4013, IoU.coffee table: 0.7087, IoU.toilet: 0.9157, IoU.flower: 0.4467, IoU.book: 0.5225, IoU.hill: 0.0900, IoU.bench: 0.6058, IoU.countertop: 0.6340, IoU.stove: 0.8621, IoU.palm: 0.5561, IoU.kitchen island: 0.4831, IoU.computer: 0.7407, IoU.swivel chair: 0.4253, IoU.boat: 0.3620, IoU.bar: 0.6193, IoU.arcade machine: 0.7625, IoU.hovel: 0.6471, IoU.bus: 0.8485, IoU.towel: 0.7266, IoU.light: 0.6684, IoU.truck: 0.2246, IoU.tower: 0.3627, IoU.chandelier: 0.7235, IoU.awning: 0.3497, IoU.streetlight: 0.4748, IoU.booth: 0.5195, IoU.television receiver: 0.7777, IoU.airplane: 0.6826, IoU.dirt track: 0.1475, IoU.apparel: 0.5069, IoU.pole: 0.3729, IoU.land: 0.0379, IoU.bannister: 0.2510, IoU.escalator: 0.2571, IoU.ottoman: 0.5134, IoU.bottle: 0.4101, IoU.buffet: 0.5344, IoU.poster: 0.2706, IoU.stage: 0.1965, IoU.van: 0.4587, IoU.ship: 0.0947, IoU.fountain: 0.2145, IoU.conveyer belt: 0.4270, IoU.canopy: 0.2555, IoU.washer: 0.7138, IoU.plaything: 0.3995, IoU.swimming pool: 0.4132, IoU.stool: 0.5236, IoU.barrel: 0.8526, IoU.basket: 0.4089, IoU.waterfall: 0.7746, IoU.tent: 0.9456, IoU.bag: 0.2462, IoU.minibike: 0.7471, IoU.cradle: 0.8723, IoU.oven: 0.2369, IoU.ball: 0.6042, IoU.food: 0.5656, IoU.step: 0.2849, IoU.tank: 0.4472, IoU.trade name: 0.2631, IoU.microwave: 0.4308, IoU.pot: 0.5145, IoU.animal: 0.5799, IoU.bicycle: 0.6248, IoU.lake: 0.6088, IoU.dishwasher: 0.7668, IoU.screen: 0.5580, IoU.blanket: 0.3029, IoU.sculpture: 0.6075, IoU.hood: 0.6890, IoU.sconce: 0.6274, IoU.vase: 0.5655, IoU.traffic light: 0.4676, IoU.tray: 0.2259, IoU.ashcan: 0.4938, IoU.fan: 0.7040, IoU.pier: 0.2392, IoU.crt screen: 0.0332, IoU.plate: 0.6403, IoU.monitor: 0.0323, IoU.bulletin board: 0.5618, IoU.shower: 0.0923, IoU.radiator: 0.6857, IoU.glass: 0.2391, IoU.clock: 0.5616, IoU.flag: 0.5221, Acc.wall: 0.8763, Acc.building: 0.9161, Acc.sky: 0.9755, Acc.floor: 0.9076, Acc.tree: 0.8918, Acc.ceiling: 0.9314, Acc.road: 0.9194, Acc.bed : 0.9528, Acc.windowpane: 0.8170, Acc.grass: 0.7999, Acc.cabinet: 0.7569, Acc.sidewalk: 0.8425, Acc.person: 0.9329, Acc.earth: 0.5570, Acc.door: 0.6857, Acc.table: 0.8467, Acc.mountain: 0.7197, Acc.plant: 0.6670, Acc.curtain: 0.8583, Acc.chair: 0.7348, Acc.car: 0.9431, Acc.water: 0.7278, Acc.painting: 0.9087, Acc.sofa: 0.8621, Acc.shelf: 0.5866, Acc.house: 0.5821, Acc.sea: 0.8408, Acc.mirror: 0.8382, Acc.rug: 0.8214, Acc.field: 0.5888, Acc.armchair: 0.7632, Acc.seat: 0.8919, Acc.fence: 0.7137, Acc.desk: 0.7848, Acc.rock: 0.7266, Acc.wardrobe: 0.7300, Acc.lamp: 0.8260, Acc.bathtub: 0.8751, Acc.railing: 0.5501, Acc.cushion: 0.7237, Acc.base: 0.7291, Acc.box: 0.4459, Acc.column: 0.7051, Acc.signboard: 0.5907, Acc.chest of drawers: 0.5965, Acc.counter: 0.5898, Acc.sand: 0.7027, Acc.sink: 0.8719, Acc.skyscraper: 0.5526, Acc.fireplace: 0.9240, Acc.refrigerator: 0.8544, Acc.grandstand: 0.8116, Acc.path: 0.4477, Acc.stairs: 0.6062, Acc.runway: 0.9147, Acc.case: 0.8763, Acc.pool table: 0.9791, Acc.pillow: 0.7835, Acc.screen door: 0.8661, Acc.stairway: 0.4727, Acc.river: 0.2720, Acc.bridge: 0.9198, Acc.bookcase: 0.5384, Acc.blind: 0.4773, Acc.coffee table: 0.8698, Acc.toilet: 0.9408, Acc.flower: 0.6447, Acc.book: 0.7440, Acc.hill: 0.1577, Acc.bench: 0.7626, Acc.countertop: 0.7916, Acc.stove: 0.9099, Acc.palm: 0.8151, Acc.kitchen island: 0.7039, Acc.computer: 0.8192, Acc.swivel chair: 0.6761, Acc.boat: 0.5661, Acc.bar: 0.6928, Acc.arcade machine: 0.8316, Acc.hovel: 0.7500, Acc.bus: 0.9636, Acc.towel: 0.8909, Acc.light: 0.7948, Acc.truck: 0.2865, Acc.tower: 0.6362, Acc.chandelier: 0.8814, Acc.awning: 0.5241, Acc.streetlight: 0.6448, Acc.booth: 0.6905, Acc.television receiver: 0.8655, Acc.airplane: 0.7328, Acc.dirt track: 0.1595, Acc.apparel: 0.7641, Acc.pole: 0.5795, Acc.land: 0.0690, Acc.bannister: 0.4023, Acc.escalator: 0.2838, Acc.ottoman: 0.7135, Acc.bottle: 0.6786, Acc.buffet: 0.6626, Acc.poster: 0.4515, Acc.stage: 0.3927, Acc.van: 0.6939, Acc.ship: 0.1775, Acc.fountain: 0.2194, Acc.conveyer belt: 0.9077, Acc.canopy: 0.5131, Acc.washer: 0.7490, Acc.plaything: 0.5646, Acc.swimming pool: 0.4989, Acc.stool: 0.7505, Acc.barrel: 0.9892, Acc.basket: 0.5719, Acc.waterfall: 0.8871, Acc.tent: 0.9827, Acc.bag: 0.3273, Acc.minibike: 0.9225, Acc.cradle: 0.9779, Acc.oven: 0.6629, Acc.ball: 0.6812, Acc.food: 0.6261, Acc.step: 0.4554, Acc.tank: 0.6625, Acc.trade name: 0.3215, Acc.microwave: 0.4681, Acc.pot: 0.6310, Acc.animal: 0.5919, Acc.bicycle: 0.8013, Acc.lake: 0.6310, Acc.dishwasher: 0.8329, Acc.screen: 0.9205, Acc.blanket: 0.4196, Acc.sculpture: 0.8908, Acc.hood: 0.7801, Acc.sconce: 0.7448, Acc.vase: 0.7483, Acc.traffic light: 0.7317, Acc.tray: 0.3401, Acc.ashcan: 0.7605, Acc.fan: 0.8595, Acc.pier: 0.3186, Acc.crt screen: 0.1010, Acc.plate: 0.8287, Acc.monitor: 0.0442, Acc.bulletin board: 0.8091, Acc.shower: 0.2255, Acc.radiator: 0.8324, Acc.glass: 0.2606, Acc.clock: 0.6835, Acc.flag: 0.5794 2023-11-22 15:10:53,862 - mmseg - INFO - Iter [110050/160000] lr: 2.974e-06, eta: 8:08:07, time: 0.957, data_time: 0.406, memory: 38143, decode.loss_cls: 0.2016, decode.loss_mask: 0.4637, decode.loss_dice: 0.6934, decode.d0.loss_cls: 1.3022, decode.d0.loss_mask: 0.4958, decode.d0.loss_dice: 0.7735, decode.d1.loss_cls: 0.2817, decode.d1.loss_mask: 0.4800, decode.d1.loss_dice: 0.7329, decode.d2.loss_cls: 0.2325, decode.d2.loss_mask: 0.4686, decode.d2.loss_dice: 0.7130, decode.d3.loss_cls: 0.2204, decode.d3.loss_mask: 0.4632, decode.d3.loss_dice: 0.6970, decode.d4.loss_cls: 0.2088, decode.d4.loss_mask: 0.4626, decode.d4.loss_dice: 0.6950, decode.d5.loss_cls: 0.2103, decode.d5.loss_mask: 0.4637, decode.d5.loss_dice: 0.6974, decode.d6.loss_cls: 0.2039, decode.d6.loss_mask: 0.4625, decode.d6.loss_dice: 0.6910, decode.d7.loss_cls: 0.2035, decode.d7.loss_mask: 0.4613, decode.d7.loss_dice: 0.6934, decode.d8.loss_cls: 0.1999, decode.d8.loss_mask: 0.4630, decode.d8.loss_dice: 0.6952, loss: 15.0308, grad_norm: 68.1503 2023-11-22 15:11:22,281 - mmseg - INFO - Iter [110100/160000] lr: 2.971e-06, eta: 8:07:37, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1804, decode.loss_mask: 0.4581, decode.loss_dice: 0.6683, decode.d0.loss_cls: 1.2796, decode.d0.loss_mask: 0.4940, decode.d0.loss_dice: 0.7394, decode.d1.loss_cls: 0.2553, decode.d1.loss_mask: 0.4773, decode.d1.loss_dice: 0.7035, decode.d2.loss_cls: 0.2169, decode.d2.loss_mask: 0.4664, decode.d2.loss_dice: 0.6883, decode.d3.loss_cls: 0.1995, decode.d3.loss_mask: 0.4635, decode.d3.loss_dice: 0.6783, decode.d4.loss_cls: 0.1931, decode.d4.loss_mask: 0.4620, decode.d4.loss_dice: 0.6744, decode.d5.loss_cls: 0.1912, decode.d5.loss_mask: 0.4626, decode.d5.loss_dice: 0.6764, decode.d6.loss_cls: 0.1854, decode.d6.loss_mask: 0.4610, decode.d6.loss_dice: 0.6725, decode.d7.loss_cls: 0.1826, decode.d7.loss_mask: 0.4606, decode.d7.loss_dice: 0.6711, decode.d8.loss_cls: 0.1824, decode.d8.loss_mask: 0.4582, decode.d8.loss_dice: 0.6721, loss: 14.5742, grad_norm: 69.2608 2023-11-22 15:11:50,662 - mmseg - INFO - Iter [110150/160000] lr: 2.968e-06, eta: 8:07:07, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2149, decode.loss_mask: 0.4614, decode.loss_dice: 0.7101, decode.d0.loss_cls: 1.3012, decode.d0.loss_mask: 0.4994, decode.d0.loss_dice: 0.7916, decode.d1.loss_cls: 0.3035, decode.d1.loss_mask: 0.4798, decode.d1.loss_dice: 0.7485, decode.d2.loss_cls: 0.2525, decode.d2.loss_mask: 0.4689, decode.d2.loss_dice: 0.7311, decode.d3.loss_cls: 0.2391, decode.d3.loss_mask: 0.4652, decode.d3.loss_dice: 0.7172, decode.d4.loss_cls: 0.2339, decode.d4.loss_mask: 0.4646, decode.d4.loss_dice: 0.7135, decode.d5.loss_cls: 0.2264, decode.d5.loss_mask: 0.4648, decode.d5.loss_dice: 0.7137, decode.d6.loss_cls: 0.2230, decode.d6.loss_mask: 0.4625, decode.d6.loss_dice: 0.7101, decode.d7.loss_cls: 0.2166, decode.d7.loss_mask: 0.4627, decode.d7.loss_dice: 0.7126, decode.d8.loss_cls: 0.2205, decode.d8.loss_mask: 0.4597, decode.d8.loss_dice: 0.7084, loss: 15.3773, grad_norm: 69.9073 2023-11-22 15:12:18,983 - mmseg - INFO - Iter [110200/160000] lr: 2.965e-06, eta: 8:06:38, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1943, decode.loss_mask: 0.4590, decode.loss_dice: 0.6759, decode.d0.loss_cls: 1.3136, decode.d0.loss_mask: 0.4971, decode.d0.loss_dice: 0.7649, decode.d1.loss_cls: 0.2867, decode.d1.loss_mask: 0.4768, decode.d1.loss_dice: 0.7151, decode.d2.loss_cls: 0.2353, decode.d2.loss_mask: 0.4647, decode.d2.loss_dice: 0.6952, decode.d3.loss_cls: 0.2140, decode.d3.loss_mask: 0.4624, decode.d3.loss_dice: 0.6864, decode.d4.loss_cls: 0.2077, decode.d4.loss_mask: 0.4611, decode.d4.loss_dice: 0.6825, decode.d5.loss_cls: 0.2003, decode.d5.loss_mask: 0.4614, decode.d5.loss_dice: 0.6809, decode.d6.loss_cls: 0.1970, decode.d6.loss_mask: 0.4605, decode.d6.loss_dice: 0.6813, decode.d7.loss_cls: 0.1970, decode.d7.loss_mask: 0.4603, decode.d7.loss_dice: 0.6806, decode.d8.loss_cls: 0.1951, decode.d8.loss_mask: 0.4595, decode.d8.loss_dice: 0.6757, loss: 14.8422, grad_norm: 65.0997 2023-11-22 15:12:47,746 - mmseg - INFO - Iter [110250/160000] lr: 2.962e-06, eta: 8:06:08, time: 0.577, data_time: 0.015, memory: 38143, decode.loss_cls: 0.2044, decode.loss_mask: 0.4614, decode.loss_dice: 0.6792, decode.d0.loss_cls: 1.2961, decode.d0.loss_mask: 0.4975, decode.d0.loss_dice: 0.7491, decode.d1.loss_cls: 0.2819, decode.d1.loss_mask: 0.4754, decode.d1.loss_dice: 0.7057, decode.d2.loss_cls: 0.2382, decode.d2.loss_mask: 0.4672, decode.d2.loss_dice: 0.6954, decode.d3.loss_cls: 0.2206, decode.d3.loss_mask: 0.4625, decode.d3.loss_dice: 0.6826, decode.d4.loss_cls: 0.2142, decode.d4.loss_mask: 0.4622, decode.d4.loss_dice: 0.6809, decode.d5.loss_cls: 0.2085, decode.d5.loss_mask: 0.4639, decode.d5.loss_dice: 0.6811, decode.d6.loss_cls: 0.2097, decode.d6.loss_mask: 0.4620, decode.d6.loss_dice: 0.6787, decode.d7.loss_cls: 0.2080, decode.d7.loss_mask: 0.4619, decode.d7.loss_dice: 0.6793, decode.d8.loss_cls: 0.2016, decode.d8.loss_mask: 0.4618, decode.d8.loss_dice: 0.6789, loss: 14.8698, grad_norm: 65.6926 2023-11-22 15:13:16,179 - mmseg - INFO - Iter [110300/160000] lr: 2.959e-06, eta: 8:05:38, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2116, decode.loss_mask: 0.4546, decode.loss_dice: 0.6931, decode.d0.loss_cls: 1.3220, decode.d0.loss_mask: 0.4901, decode.d0.loss_dice: 0.7836, decode.d1.loss_cls: 0.3062, decode.d1.loss_mask: 0.4748, decode.d1.loss_dice: 0.7291, decode.d2.loss_cls: 0.2547, decode.d2.loss_mask: 0.4678, decode.d2.loss_dice: 0.7132, decode.d3.loss_cls: 0.2370, decode.d3.loss_mask: 0.4588, decode.d3.loss_dice: 0.6982, decode.d4.loss_cls: 0.2335, decode.d4.loss_mask: 0.4562, decode.d4.loss_dice: 0.6974, decode.d5.loss_cls: 0.2234, decode.d5.loss_mask: 0.4576, decode.d5.loss_dice: 0.6953, decode.d6.loss_cls: 0.2234, decode.d6.loss_mask: 0.4548, decode.d6.loss_dice: 0.6914, decode.d7.loss_cls: 0.2177, decode.d7.loss_mask: 0.4553, decode.d7.loss_dice: 0.6922, decode.d8.loss_cls: 0.2151, decode.d8.loss_mask: 0.4545, decode.d8.loss_dice: 0.6934, loss: 15.1562, grad_norm: 71.1028 2023-11-22 15:13:44,399 - mmseg - INFO - Iter [110350/160000] lr: 2.956e-06, eta: 8:05:09, time: 0.564, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1982, decode.loss_mask: 0.4605, decode.loss_dice: 0.7136, decode.d0.loss_cls: 1.3228, decode.d0.loss_mask: 0.4948, decode.d0.loss_dice: 0.7910, decode.d1.loss_cls: 0.2859, decode.d1.loss_mask: 0.4775, decode.d1.loss_dice: 0.7431, decode.d2.loss_cls: 0.2304, decode.d2.loss_mask: 0.4693, decode.d2.loss_dice: 0.7343, decode.d3.loss_cls: 0.2171, decode.d3.loss_mask: 0.4641, decode.d3.loss_dice: 0.7160, decode.d4.loss_cls: 0.2085, decode.d4.loss_mask: 0.4627, decode.d4.loss_dice: 0.7183, decode.d5.loss_cls: 0.2041, decode.d5.loss_mask: 0.4641, decode.d5.loss_dice: 0.7169, decode.d6.loss_cls: 0.2058, decode.d6.loss_mask: 0.4614, decode.d6.loss_dice: 0.7152, decode.d7.loss_cls: 0.2022, decode.d7.loss_mask: 0.4604, decode.d7.loss_dice: 0.7133, decode.d8.loss_cls: 0.1994, decode.d8.loss_mask: 0.4604, decode.d8.loss_dice: 0.7124, loss: 15.2237, grad_norm: 67.4684 2023-11-22 15:14:12,831 - mmseg - INFO - Iter [110400/160000] lr: 2.953e-06, eta: 8:04:39, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1978, decode.loss_mask: 0.4666, decode.loss_dice: 0.7021, decode.d0.loss_cls: 1.2871, decode.d0.loss_mask: 0.5003, decode.d0.loss_dice: 0.7763, decode.d1.loss_cls: 0.2727, decode.d1.loss_mask: 0.4814, decode.d1.loss_dice: 0.7399, decode.d2.loss_cls: 0.2286, decode.d2.loss_mask: 0.4723, decode.d2.loss_dice: 0.7196, decode.d3.loss_cls: 0.2153, decode.d3.loss_mask: 0.4685, decode.d3.loss_dice: 0.7083, decode.d4.loss_cls: 0.2098, decode.d4.loss_mask: 0.4678, decode.d4.loss_dice: 0.7056, decode.d5.loss_cls: 0.2036, decode.d5.loss_mask: 0.4687, decode.d5.loss_dice: 0.7071, decode.d6.loss_cls: 0.2027, decode.d6.loss_mask: 0.4675, decode.d6.loss_dice: 0.7056, decode.d7.loss_cls: 0.1943, decode.d7.loss_mask: 0.4672, decode.d7.loss_dice: 0.7041, decode.d8.loss_cls: 0.1961, decode.d8.loss_mask: 0.4686, decode.d8.loss_dice: 0.7058, loss: 15.1111, grad_norm: 64.7403 2023-11-22 15:14:41,254 - mmseg - INFO - Iter [110450/160000] lr: 2.950e-06, eta: 8:04:09, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1912, decode.loss_mask: 0.4444, decode.loss_dice: 0.6884, decode.d0.loss_cls: 1.3030, decode.d0.loss_mask: 0.4763, decode.d0.loss_dice: 0.7640, decode.d1.loss_cls: 0.2688, decode.d1.loss_mask: 0.4608, decode.d1.loss_dice: 0.7186, decode.d2.loss_cls: 0.2277, decode.d2.loss_mask: 0.4523, decode.d2.loss_dice: 0.7096, decode.d3.loss_cls: 0.2111, decode.d3.loss_mask: 0.4496, decode.d3.loss_dice: 0.6919, decode.d4.loss_cls: 0.2040, decode.d4.loss_mask: 0.4478, decode.d4.loss_dice: 0.6917, decode.d5.loss_cls: 0.1970, decode.d5.loss_mask: 0.4451, decode.d5.loss_dice: 0.6931, decode.d6.loss_cls: 0.2009, decode.d6.loss_mask: 0.4442, decode.d6.loss_dice: 0.6884, decode.d7.loss_cls: 0.1944, decode.d7.loss_mask: 0.4458, decode.d7.loss_dice: 0.6861, decode.d8.loss_cls: 0.1908, decode.d8.loss_mask: 0.4457, decode.d8.loss_dice: 0.6868, loss: 14.7195, grad_norm: 65.5755 2023-11-22 15:15:09,594 - mmseg - INFO - Iter [110500/160000] lr: 2.947e-06, eta: 8:03:39, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2050, decode.loss_mask: 0.4657, decode.loss_dice: 0.6976, decode.d0.loss_cls: 1.2934, decode.d0.loss_mask: 0.5014, decode.d0.loss_dice: 0.7790, decode.d1.loss_cls: 0.2955, decode.d1.loss_mask: 0.4802, decode.d1.loss_dice: 0.7333, decode.d2.loss_cls: 0.2457, decode.d2.loss_mask: 0.4715, decode.d2.loss_dice: 0.7138, decode.d3.loss_cls: 0.2322, decode.d3.loss_mask: 0.4690, decode.d3.loss_dice: 0.7003, decode.d4.loss_cls: 0.2241, decode.d4.loss_mask: 0.4680, decode.d4.loss_dice: 0.7024, decode.d5.loss_cls: 0.2157, decode.d5.loss_mask: 0.4668, decode.d5.loss_dice: 0.7024, decode.d6.loss_cls: 0.2162, decode.d6.loss_mask: 0.4658, decode.d6.loss_dice: 0.6968, decode.d7.loss_cls: 0.2074, decode.d7.loss_mask: 0.4647, decode.d7.loss_dice: 0.6997, decode.d8.loss_cls: 0.2050, decode.d8.loss_mask: 0.4656, decode.d8.loss_dice: 0.6965, loss: 15.1807, grad_norm: 67.8466 2023-11-22 15:15:38,291 - mmseg - INFO - Iter [110550/160000] lr: 2.944e-06, eta: 8:03:10, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2034, decode.loss_mask: 0.4815, decode.loss_dice: 0.7118, decode.d0.loss_cls: 1.2954, decode.d0.loss_mask: 0.5122, decode.d0.loss_dice: 0.7818, decode.d1.loss_cls: 0.2841, decode.d1.loss_mask: 0.4958, decode.d1.loss_dice: 0.7433, decode.d2.loss_cls: 0.2438, decode.d2.loss_mask: 0.4857, decode.d2.loss_dice: 0.7241, decode.d3.loss_cls: 0.2257, decode.d3.loss_mask: 0.4842, decode.d3.loss_dice: 0.7145, decode.d4.loss_cls: 0.2147, decode.d4.loss_mask: 0.4818, decode.d4.loss_dice: 0.7137, decode.d5.loss_cls: 0.2083, decode.d5.loss_mask: 0.4798, decode.d5.loss_dice: 0.7149, decode.d6.loss_cls: 0.2082, decode.d6.loss_mask: 0.4808, decode.d6.loss_dice: 0.7084, decode.d7.loss_cls: 0.2073, decode.d7.loss_mask: 0.4813, decode.d7.loss_dice: 0.7105, decode.d8.loss_cls: 0.2027, decode.d8.loss_mask: 0.4808, decode.d8.loss_dice: 0.7096, loss: 15.3900, grad_norm: 61.7076 2023-11-22 15:16:06,577 - mmseg - INFO - Iter [110600/160000] lr: 2.941e-06, eta: 8:02:40, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2103, decode.loss_mask: 0.4609, decode.loss_dice: 0.7273, decode.d0.loss_cls: 1.3180, decode.d0.loss_mask: 0.4940, decode.d0.loss_dice: 0.8040, decode.d1.loss_cls: 0.2855, decode.d1.loss_mask: 0.4783, decode.d1.loss_dice: 0.7678, decode.d2.loss_cls: 0.2445, decode.d2.loss_mask: 0.4715, decode.d2.loss_dice: 0.7508, decode.d3.loss_cls: 0.2254, decode.d3.loss_mask: 0.4671, decode.d3.loss_dice: 0.7341, decode.d4.loss_cls: 0.2204, decode.d4.loss_mask: 0.4655, decode.d4.loss_dice: 0.7326, decode.d5.loss_cls: 0.2156, decode.d5.loss_mask: 0.4631, decode.d5.loss_dice: 0.7334, decode.d6.loss_cls: 0.2153, decode.d6.loss_mask: 0.4614, decode.d6.loss_dice: 0.7292, decode.d7.loss_cls: 0.2137, decode.d7.loss_mask: 0.4602, decode.d7.loss_dice: 0.7290, decode.d8.loss_cls: 0.2146, decode.d8.loss_mask: 0.4619, decode.d8.loss_dice: 0.7276, loss: 15.4828, grad_norm: 71.2683 2023-11-22 15:16:34,931 - mmseg - INFO - Iter [110650/160000] lr: 2.938e-06, eta: 8:02:10, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1946, decode.loss_mask: 0.4552, decode.loss_dice: 0.6901, decode.d0.loss_cls: 1.2909, decode.d0.loss_mask: 0.4882, decode.d0.loss_dice: 0.7623, decode.d1.loss_cls: 0.2714, decode.d1.loss_mask: 0.4714, decode.d1.loss_dice: 0.7248, decode.d2.loss_cls: 0.2287, decode.d2.loss_mask: 0.4612, decode.d2.loss_dice: 0.7112, decode.d3.loss_cls: 0.2108, decode.d3.loss_mask: 0.4587, decode.d3.loss_dice: 0.6899, decode.d4.loss_cls: 0.2053, decode.d4.loss_mask: 0.4572, decode.d4.loss_dice: 0.6922, decode.d5.loss_cls: 0.2067, decode.d5.loss_mask: 0.4564, decode.d5.loss_dice: 0.6919, decode.d6.loss_cls: 0.2013, decode.d6.loss_mask: 0.4542, decode.d6.loss_dice: 0.6837, decode.d7.loss_cls: 0.1962, decode.d7.loss_mask: 0.4542, decode.d7.loss_dice: 0.6862, decode.d8.loss_cls: 0.1936, decode.d8.loss_mask: 0.4549, decode.d8.loss_dice: 0.6871, loss: 14.8304, grad_norm: 69.9846 2023-11-22 15:17:03,257 - mmseg - INFO - Iter [110700/160000] lr: 2.935e-06, eta: 8:01:40, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2180, decode.loss_mask: 0.4653, decode.loss_dice: 0.7220, decode.d0.loss_cls: 1.3300, decode.d0.loss_mask: 0.5071, decode.d0.loss_dice: 0.8105, decode.d1.loss_cls: 0.3016, decode.d1.loss_mask: 0.4828, decode.d1.loss_dice: 0.7635, decode.d2.loss_cls: 0.2505, decode.d2.loss_mask: 0.4699, decode.d2.loss_dice: 0.7433, decode.d3.loss_cls: 0.2355, decode.d3.loss_mask: 0.4681, decode.d3.loss_dice: 0.7313, decode.d4.loss_cls: 0.2254, decode.d4.loss_mask: 0.4687, decode.d4.loss_dice: 0.7282, decode.d5.loss_cls: 0.2141, decode.d5.loss_mask: 0.4700, decode.d5.loss_dice: 0.7341, decode.d6.loss_cls: 0.2200, decode.d6.loss_mask: 0.4670, decode.d6.loss_dice: 0.7216, decode.d7.loss_cls: 0.2157, decode.d7.loss_mask: 0.4658, decode.d7.loss_dice: 0.7248, decode.d8.loss_cls: 0.2154, decode.d8.loss_mask: 0.4654, decode.d8.loss_dice: 0.7226, loss: 15.5580, grad_norm: 70.4460 2023-11-22 15:17:31,661 - mmseg - INFO - Iter [110750/160000] lr: 2.932e-06, eta: 8:01:11, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2216, decode.loss_mask: 0.4487, decode.loss_dice: 0.6956, decode.d0.loss_cls: 1.3439, decode.d0.loss_mask: 0.4849, decode.d0.loss_dice: 0.7874, decode.d1.loss_cls: 0.2983, decode.d1.loss_mask: 0.4685, decode.d1.loss_dice: 0.7386, decode.d2.loss_cls: 0.2579, decode.d2.loss_mask: 0.4592, decode.d2.loss_dice: 0.7191, decode.d3.loss_cls: 0.2405, decode.d3.loss_mask: 0.4533, decode.d3.loss_dice: 0.7034, decode.d4.loss_cls: 0.2331, decode.d4.loss_mask: 0.4526, decode.d4.loss_dice: 0.7021, decode.d5.loss_cls: 0.2263, decode.d5.loss_mask: 0.4524, decode.d5.loss_dice: 0.7002, decode.d6.loss_cls: 0.2261, decode.d6.loss_mask: 0.4509, decode.d6.loss_dice: 0.6982, decode.d7.loss_cls: 0.2227, decode.d7.loss_mask: 0.4496, decode.d7.loss_dice: 0.7011, decode.d8.loss_cls: 0.2211, decode.d8.loss_mask: 0.4503, decode.d8.loss_dice: 0.6983, loss: 15.2057, grad_norm: 69.8586 2023-11-22 15:18:00,036 - mmseg - INFO - Iter [110800/160000] lr: 2.929e-06, eta: 8:00:41, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1963, decode.loss_mask: 0.4674, decode.loss_dice: 0.6881, decode.d0.loss_cls: 1.2599, decode.d0.loss_mask: 0.4986, decode.d0.loss_dice: 0.7636, decode.d1.loss_cls: 0.2751, decode.d1.loss_mask: 0.4894, decode.d1.loss_dice: 0.7268, decode.d2.loss_cls: 0.2288, decode.d2.loss_mask: 0.4768, decode.d2.loss_dice: 0.7094, decode.d3.loss_cls: 0.2117, decode.d3.loss_mask: 0.4728, decode.d3.loss_dice: 0.7012, decode.d4.loss_cls: 0.1970, decode.d4.loss_mask: 0.4727, decode.d4.loss_dice: 0.7015, decode.d5.loss_cls: 0.1944, decode.d5.loss_mask: 0.4707, decode.d5.loss_dice: 0.6976, decode.d6.loss_cls: 0.1992, decode.d6.loss_mask: 0.4707, decode.d6.loss_dice: 0.6914, decode.d7.loss_cls: 0.1979, decode.d7.loss_mask: 0.4706, decode.d7.loss_dice: 0.6914, decode.d8.loss_cls: 0.1971, decode.d8.loss_mask: 0.4699, decode.d8.loss_dice: 0.6905, loss: 14.9785, grad_norm: 73.3971 2023-11-22 15:18:28,860 - mmseg - INFO - Iter [110850/160000] lr: 2.926e-06, eta: 8:00:12, time: 0.576, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2113, decode.loss_mask: 0.4562, decode.loss_dice: 0.6967, decode.d0.loss_cls: 1.2992, decode.d0.loss_mask: 0.4900, decode.d0.loss_dice: 0.7793, decode.d1.loss_cls: 0.2946, decode.d1.loss_mask: 0.4770, decode.d1.loss_dice: 0.7340, decode.d2.loss_cls: 0.2480, decode.d2.loss_mask: 0.4647, decode.d2.loss_dice: 0.7203, decode.d3.loss_cls: 0.2278, decode.d3.loss_mask: 0.4616, decode.d3.loss_dice: 0.7046, decode.d4.loss_cls: 0.2236, decode.d4.loss_mask: 0.4591, decode.d4.loss_dice: 0.7038, decode.d5.loss_cls: 0.2217, decode.d5.loss_mask: 0.4589, decode.d5.loss_dice: 0.7022, decode.d6.loss_cls: 0.2204, decode.d6.loss_mask: 0.4579, decode.d6.loss_dice: 0.6969, decode.d7.loss_cls: 0.2166, decode.d7.loss_mask: 0.4586, decode.d7.loss_dice: 0.6937, decode.d8.loss_cls: 0.2192, decode.d8.loss_mask: 0.4557, decode.d8.loss_dice: 0.6944, loss: 15.1479, grad_norm: 67.3591 2023-11-22 15:18:57,242 - mmseg - INFO - Iter [110900/160000] lr: 2.923e-06, eta: 7:59:42, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2022, decode.loss_mask: 0.4794, decode.loss_dice: 0.7045, decode.d0.loss_cls: 1.2891, decode.d0.loss_mask: 0.5097, decode.d0.loss_dice: 0.7842, decode.d1.loss_cls: 0.2686, decode.d1.loss_mask: 0.4984, decode.d1.loss_dice: 0.7471, decode.d2.loss_cls: 0.2328, decode.d2.loss_mask: 0.4886, decode.d2.loss_dice: 0.7262, decode.d3.loss_cls: 0.2160, decode.d3.loss_mask: 0.4834, decode.d3.loss_dice: 0.7095, decode.d4.loss_cls: 0.2109, decode.d4.loss_mask: 0.4807, decode.d4.loss_dice: 0.7071, decode.d5.loss_cls: 0.2088, decode.d5.loss_mask: 0.4834, decode.d5.loss_dice: 0.7076, decode.d6.loss_cls: 0.2058, decode.d6.loss_mask: 0.4817, decode.d6.loss_dice: 0.7050, decode.d7.loss_cls: 0.1996, decode.d7.loss_mask: 0.4796, decode.d7.loss_dice: 0.7064, decode.d8.loss_cls: 0.1979, decode.d8.loss_mask: 0.4806, decode.d8.loss_dice: 0.7078, loss: 15.3026, grad_norm: 72.6804 2023-11-22 15:19:25,628 - mmseg - INFO - Iter [110950/160000] lr: 2.920e-06, eta: 7:59:12, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1990, decode.loss_mask: 0.4643, decode.loss_dice: 0.6912, decode.d0.loss_cls: 1.3116, decode.d0.loss_mask: 0.4883, decode.d0.loss_dice: 0.7644, decode.d1.loss_cls: 0.2800, decode.d1.loss_mask: 0.4763, decode.d1.loss_dice: 0.7274, decode.d2.loss_cls: 0.2319, decode.d2.loss_mask: 0.4674, decode.d2.loss_dice: 0.7081, decode.d3.loss_cls: 0.2118, decode.d3.loss_mask: 0.4642, decode.d3.loss_dice: 0.6950, decode.d4.loss_cls: 0.2061, decode.d4.loss_mask: 0.4640, decode.d4.loss_dice: 0.6965, decode.d5.loss_cls: 0.1998, decode.d5.loss_mask: 0.4642, decode.d5.loss_dice: 0.6991, decode.d6.loss_cls: 0.2008, decode.d6.loss_mask: 0.4620, decode.d6.loss_dice: 0.6913, decode.d7.loss_cls: 0.1961, decode.d7.loss_mask: 0.4616, decode.d7.loss_dice: 0.6936, decode.d8.loss_cls: 0.1968, decode.d8.loss_mask: 0.4629, decode.d8.loss_dice: 0.6940, loss: 14.9696, grad_norm: 67.0643 2023-11-22 15:19:54,230 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 15:19:54,230 - mmseg - INFO - Iter [111000/160000] lr: 2.917e-06, eta: 7:58:42, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2056, decode.loss_mask: 0.4687, decode.loss_dice: 0.7116, decode.d0.loss_cls: 1.3152, decode.d0.loss_mask: 0.5068, decode.d0.loss_dice: 0.7893, decode.d1.loss_cls: 0.2942, decode.d1.loss_mask: 0.4852, decode.d1.loss_dice: 0.7502, decode.d2.loss_cls: 0.2425, decode.d2.loss_mask: 0.4785, decode.d2.loss_dice: 0.7338, decode.d3.loss_cls: 0.2273, decode.d3.loss_mask: 0.4758, decode.d3.loss_dice: 0.7203, decode.d4.loss_cls: 0.2184, decode.d4.loss_mask: 0.4734, decode.d4.loss_dice: 0.7167, decode.d5.loss_cls: 0.2114, decode.d5.loss_mask: 0.4709, decode.d5.loss_dice: 0.7197, decode.d6.loss_cls: 0.2132, decode.d6.loss_mask: 0.4683, decode.d6.loss_dice: 0.7166, decode.d7.loss_cls: 0.2047, decode.d7.loss_mask: 0.4702, decode.d7.loss_dice: 0.7175, decode.d8.loss_cls: 0.2074, decode.d8.loss_mask: 0.4701, decode.d8.loss_dice: 0.7161, loss: 15.3996, grad_norm: 68.0822 2023-11-22 15:20:22,657 - mmseg - INFO - Iter [111050/160000] lr: 2.914e-06, eta: 7:58:13, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2136, decode.loss_mask: 0.4776, decode.loss_dice: 0.7180, decode.d0.loss_cls: 1.3058, decode.d0.loss_mask: 0.5138, decode.d0.loss_dice: 0.7928, decode.d1.loss_cls: 0.2983, decode.d1.loss_mask: 0.4920, decode.d1.loss_dice: 0.7539, decode.d2.loss_cls: 0.2495, decode.d2.loss_mask: 0.4829, decode.d2.loss_dice: 0.7351, decode.d3.loss_cls: 0.2331, decode.d3.loss_mask: 0.4801, decode.d3.loss_dice: 0.7169, decode.d4.loss_cls: 0.2307, decode.d4.loss_mask: 0.4784, decode.d4.loss_dice: 0.7132, decode.d5.loss_cls: 0.2195, decode.d5.loss_mask: 0.4773, decode.d5.loss_dice: 0.7224, decode.d6.loss_cls: 0.2197, decode.d6.loss_mask: 0.4784, decode.d6.loss_dice: 0.7180, decode.d7.loss_cls: 0.2152, decode.d7.loss_mask: 0.4784, decode.d7.loss_dice: 0.7162, decode.d8.loss_cls: 0.2122, decode.d8.loss_mask: 0.4779, decode.d8.loss_dice: 0.7165, loss: 15.5373, grad_norm: 69.3417 2023-11-22 15:20:51,132 - mmseg - INFO - Iter [111100/160000] lr: 2.911e-06, eta: 7:57:43, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2009, decode.loss_mask: 0.4558, decode.loss_dice: 0.7026, decode.d0.loss_cls: 1.3033, decode.d0.loss_mask: 0.4938, decode.d0.loss_dice: 0.7806, decode.d1.loss_cls: 0.2775, decode.d1.loss_mask: 0.4774, decode.d1.loss_dice: 0.7386, decode.d2.loss_cls: 0.2285, decode.d2.loss_mask: 0.4649, decode.d2.loss_dice: 0.7191, decode.d3.loss_cls: 0.2114, decode.d3.loss_mask: 0.4602, decode.d3.loss_dice: 0.7043, decode.d4.loss_cls: 0.2097, decode.d4.loss_mask: 0.4606, decode.d4.loss_dice: 0.7069, decode.d5.loss_cls: 0.2066, decode.d5.loss_mask: 0.4590, decode.d5.loss_dice: 0.7028, decode.d6.loss_cls: 0.2008, decode.d6.loss_mask: 0.4565, decode.d6.loss_dice: 0.7038, decode.d7.loss_cls: 0.1985, decode.d7.loss_mask: 0.4566, decode.d7.loss_dice: 0.7009, decode.d8.loss_cls: 0.1976, decode.d8.loss_mask: 0.4564, decode.d8.loss_dice: 0.6993, loss: 15.0348, grad_norm: 69.1443 2023-11-22 15:21:22,141 - mmseg - INFO - Iter [111150/160000] lr: 2.908e-06, eta: 7:57:15, time: 0.620, data_time: 0.058, memory: 38143, decode.loss_cls: 0.2213, decode.loss_mask: 0.4741, decode.loss_dice: 0.7119, decode.d0.loss_cls: 1.3366, decode.d0.loss_mask: 0.5140, decode.d0.loss_dice: 0.7979, decode.d1.loss_cls: 0.2996, decode.d1.loss_mask: 0.4930, decode.d1.loss_dice: 0.7561, decode.d2.loss_cls: 0.2523, decode.d2.loss_mask: 0.4818, decode.d2.loss_dice: 0.7312, decode.d3.loss_cls: 0.2407, decode.d3.loss_mask: 0.4761, decode.d3.loss_dice: 0.7191, decode.d4.loss_cls: 0.2318, decode.d4.loss_mask: 0.4777, decode.d4.loss_dice: 0.7168, decode.d5.loss_cls: 0.2291, decode.d5.loss_mask: 0.4759, decode.d5.loss_dice: 0.7156, decode.d6.loss_cls: 0.2267, decode.d6.loss_mask: 0.4759, decode.d6.loss_dice: 0.7133, decode.d7.loss_cls: 0.2207, decode.d7.loss_mask: 0.4752, decode.d7.loss_dice: 0.7136, decode.d8.loss_cls: 0.2207, decode.d8.loss_mask: 0.4734, decode.d8.loss_dice: 0.7112, loss: 15.5834, grad_norm: 70.6077 2023-11-22 15:21:50,466 - mmseg - INFO - Iter [111200/160000] lr: 2.905e-06, eta: 7:56:45, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2057, decode.loss_mask: 0.4826, decode.loss_dice: 0.7081, decode.d0.loss_cls: 1.2795, decode.d0.loss_mask: 0.5186, decode.d0.loss_dice: 0.7939, decode.d1.loss_cls: 0.2827, decode.d1.loss_mask: 0.4980, decode.d1.loss_dice: 0.7515, decode.d2.loss_cls: 0.2443, decode.d2.loss_mask: 0.4889, decode.d2.loss_dice: 0.7326, decode.d3.loss_cls: 0.2289, decode.d3.loss_mask: 0.4826, decode.d3.loss_dice: 0.7140, decode.d4.loss_cls: 0.2205, decode.d4.loss_mask: 0.4810, decode.d4.loss_dice: 0.7133, decode.d5.loss_cls: 0.2137, decode.d5.loss_mask: 0.4836, decode.d5.loss_dice: 0.7141, decode.d6.loss_cls: 0.2145, decode.d6.loss_mask: 0.4800, decode.d6.loss_dice: 0.7082, decode.d7.loss_cls: 0.2106, decode.d7.loss_mask: 0.4817, decode.d7.loss_dice: 0.7112, decode.d8.loss_cls: 0.2111, decode.d8.loss_mask: 0.4794, decode.d8.loss_dice: 0.7061, loss: 15.4407, grad_norm: 71.6842 2023-11-22 15:22:18,786 - mmseg - INFO - Iter [111250/160000] lr: 2.902e-06, eta: 7:56:15, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2048, decode.loss_mask: 0.4561, decode.loss_dice: 0.7103, decode.d0.loss_cls: 1.2955, decode.d0.loss_mask: 0.4881, decode.d0.loss_dice: 0.7872, decode.d1.loss_cls: 0.2759, decode.d1.loss_mask: 0.4759, decode.d1.loss_dice: 0.7490, decode.d2.loss_cls: 0.2288, decode.d2.loss_mask: 0.4692, decode.d2.loss_dice: 0.7366, decode.d3.loss_cls: 0.2130, decode.d3.loss_mask: 0.4618, decode.d3.loss_dice: 0.7195, decode.d4.loss_cls: 0.2106, decode.d4.loss_mask: 0.4588, decode.d4.loss_dice: 0.7164, decode.d5.loss_cls: 0.2037, decode.d5.loss_mask: 0.4620, decode.d5.loss_dice: 0.7196, decode.d6.loss_cls: 0.2039, decode.d6.loss_mask: 0.4588, decode.d6.loss_dice: 0.7133, decode.d7.loss_cls: 0.2015, decode.d7.loss_mask: 0.4583, decode.d7.loss_dice: 0.7091, decode.d8.loss_cls: 0.1974, decode.d8.loss_mask: 0.4592, decode.d8.loss_dice: 0.7097, loss: 15.1539, grad_norm: 74.2025 2023-11-22 15:22:47,086 - mmseg - INFO - Iter [111300/160000] lr: 2.899e-06, eta: 7:55:45, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2076, decode.loss_mask: 0.4577, decode.loss_dice: 0.6939, decode.d0.loss_cls: 1.3365, decode.d0.loss_mask: 0.4887, decode.d0.loss_dice: 0.7647, decode.d1.loss_cls: 0.2818, decode.d1.loss_mask: 0.4729, decode.d1.loss_dice: 0.7284, decode.d2.loss_cls: 0.2356, decode.d2.loss_mask: 0.4662, decode.d2.loss_dice: 0.7157, decode.d3.loss_cls: 0.2171, decode.d3.loss_mask: 0.4615, decode.d3.loss_dice: 0.7011, decode.d4.loss_cls: 0.2185, decode.d4.loss_mask: 0.4594, decode.d4.loss_dice: 0.6943, decode.d5.loss_cls: 0.2114, decode.d5.loss_mask: 0.4574, decode.d5.loss_dice: 0.6958, decode.d6.loss_cls: 0.2106, decode.d6.loss_mask: 0.4569, decode.d6.loss_dice: 0.6920, decode.d7.loss_cls: 0.2068, decode.d7.loss_mask: 0.4598, decode.d7.loss_dice: 0.6961, decode.d8.loss_cls: 0.2067, decode.d8.loss_mask: 0.4580, decode.d8.loss_dice: 0.6961, loss: 15.0491, grad_norm: 68.1149 2023-11-22 15:23:15,566 - mmseg - INFO - Iter [111350/160000] lr: 2.896e-06, eta: 7:55:16, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2048, decode.loss_mask: 0.4691, decode.loss_dice: 0.7040, decode.d0.loss_cls: 1.3250, decode.d0.loss_mask: 0.4975, decode.d0.loss_dice: 0.7903, decode.d1.loss_cls: 0.2907, decode.d1.loss_mask: 0.4793, decode.d1.loss_dice: 0.7455, decode.d2.loss_cls: 0.2421, decode.d2.loss_mask: 0.4740, decode.d2.loss_dice: 0.7239, decode.d3.loss_cls: 0.2171, decode.d3.loss_mask: 0.4727, decode.d3.loss_dice: 0.7120, decode.d4.loss_cls: 0.2103, decode.d4.loss_mask: 0.4721, decode.d4.loss_dice: 0.7075, decode.d5.loss_cls: 0.2054, decode.d5.loss_mask: 0.4702, decode.d5.loss_dice: 0.7144, decode.d6.loss_cls: 0.2036, decode.d6.loss_mask: 0.4710, decode.d6.loss_dice: 0.7105, decode.d7.loss_cls: 0.2020, decode.d7.loss_mask: 0.4677, decode.d7.loss_dice: 0.7038, decode.d8.loss_cls: 0.2049, decode.d8.loss_mask: 0.4678, decode.d8.loss_dice: 0.7057, loss: 15.2649, grad_norm: 70.9764 2023-11-22 15:23:44,048 - mmseg - INFO - Iter [111400/160000] lr: 2.893e-06, eta: 7:54:46, time: 0.570, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2130, decode.loss_mask: 0.4709, decode.loss_dice: 0.6920, decode.d0.loss_cls: 1.3251, decode.d0.loss_mask: 0.5049, decode.d0.loss_dice: 0.7692, decode.d1.loss_cls: 0.2988, decode.d1.loss_mask: 0.4884, decode.d1.loss_dice: 0.7278, decode.d2.loss_cls: 0.2544, decode.d2.loss_mask: 0.4813, decode.d2.loss_dice: 0.7113, decode.d3.loss_cls: 0.2268, decode.d3.loss_mask: 0.4772, decode.d3.loss_dice: 0.6984, decode.d4.loss_cls: 0.2260, decode.d4.loss_mask: 0.4758, decode.d4.loss_dice: 0.6966, decode.d5.loss_cls: 0.2208, decode.d5.loss_mask: 0.4756, decode.d5.loss_dice: 0.6995, decode.d6.loss_cls: 0.2151, decode.d6.loss_mask: 0.4737, decode.d6.loss_dice: 0.6966, decode.d7.loss_cls: 0.2186, decode.d7.loss_mask: 0.4738, decode.d7.loss_dice: 0.6929, decode.d8.loss_cls: 0.2139, decode.d8.loss_mask: 0.4715, decode.d8.loss_dice: 0.6904, loss: 15.2806, grad_norm: 65.3153 2023-11-22 15:24:12,721 - mmseg - INFO - Iter [111450/160000] lr: 2.890e-06, eta: 7:54:16, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1959, decode.loss_mask: 0.4615, decode.loss_dice: 0.7024, decode.d0.loss_cls: 1.2755, decode.d0.loss_mask: 0.4975, decode.d0.loss_dice: 0.7785, decode.d1.loss_cls: 0.2728, decode.d1.loss_mask: 0.4778, decode.d1.loss_dice: 0.7467, decode.d2.loss_cls: 0.2269, decode.d2.loss_mask: 0.4713, decode.d2.loss_dice: 0.7252, decode.d3.loss_cls: 0.2152, decode.d3.loss_mask: 0.4627, decode.d3.loss_dice: 0.7093, decode.d4.loss_cls: 0.2026, decode.d4.loss_mask: 0.4629, decode.d4.loss_dice: 0.7137, decode.d5.loss_cls: 0.2000, decode.d5.loss_mask: 0.4633, decode.d5.loss_dice: 0.7067, decode.d6.loss_cls: 0.1995, decode.d6.loss_mask: 0.4620, decode.d6.loss_dice: 0.7063, decode.d7.loss_cls: 0.1968, decode.d7.loss_mask: 0.4611, decode.d7.loss_dice: 0.7007, decode.d8.loss_cls: 0.1942, decode.d8.loss_mask: 0.4602, decode.d8.loss_dice: 0.7063, loss: 15.0552, grad_norm: 68.9466 2023-11-22 15:24:41,037 - mmseg - INFO - Iter [111500/160000] lr: 2.887e-06, eta: 7:53:47, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2014, decode.loss_mask: 0.4568, decode.loss_dice: 0.6752, decode.d0.loss_cls: 1.2469, decode.d0.loss_mask: 0.4917, decode.d0.loss_dice: 0.7444, decode.d1.loss_cls: 0.2762, decode.d1.loss_mask: 0.4707, decode.d1.loss_dice: 0.7080, decode.d2.loss_cls: 0.2327, decode.d2.loss_mask: 0.4646, decode.d2.loss_dice: 0.6929, decode.d3.loss_cls: 0.2196, decode.d3.loss_mask: 0.4614, decode.d3.loss_dice: 0.6754, decode.d4.loss_cls: 0.2081, decode.d4.loss_mask: 0.4594, decode.d4.loss_dice: 0.6760, decode.d5.loss_cls: 0.2080, decode.d5.loss_mask: 0.4586, decode.d5.loss_dice: 0.6776, decode.d6.loss_cls: 0.2082, decode.d6.loss_mask: 0.4566, decode.d6.loss_dice: 0.6718, decode.d7.loss_cls: 0.2018, decode.d7.loss_mask: 0.4553, decode.d7.loss_dice: 0.6734, decode.d8.loss_cls: 0.1996, decode.d8.loss_mask: 0.4582, decode.d8.loss_dice: 0.6780, loss: 14.7085, grad_norm: 66.6762 2023-11-22 15:25:09,310 - mmseg - INFO - Iter [111550/160000] lr: 2.884e-06, eta: 7:53:17, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2162, decode.loss_mask: 0.4637, decode.loss_dice: 0.6973, decode.d0.loss_cls: 1.2922, decode.d0.loss_mask: 0.5029, decode.d0.loss_dice: 0.7693, decode.d1.loss_cls: 0.2962, decode.d1.loss_mask: 0.4832, decode.d1.loss_dice: 0.7375, decode.d2.loss_cls: 0.2539, decode.d2.loss_mask: 0.4737, decode.d2.loss_dice: 0.7161, decode.d3.loss_cls: 0.2351, decode.d3.loss_mask: 0.4693, decode.d3.loss_dice: 0.7024, decode.d4.loss_cls: 0.2293, decode.d4.loss_mask: 0.4670, decode.d4.loss_dice: 0.7018, decode.d5.loss_cls: 0.2239, decode.d5.loss_mask: 0.4669, decode.d5.loss_dice: 0.7006, decode.d6.loss_cls: 0.2198, decode.d6.loss_mask: 0.4655, decode.d6.loss_dice: 0.6984, decode.d7.loss_cls: 0.2162, decode.d7.loss_mask: 0.4663, decode.d7.loss_dice: 0.6968, decode.d8.loss_cls: 0.2132, decode.d8.loss_mask: 0.4644, decode.d8.loss_dice: 0.7020, loss: 15.2413, grad_norm: 72.0805 2023-11-22 15:25:37,628 - mmseg - INFO - Iter [111600/160000] lr: 2.881e-06, eta: 7:52:47, time: 0.566, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1933, decode.loss_mask: 0.4675, decode.loss_dice: 0.6681, decode.d0.loss_cls: 1.2623, decode.d0.loss_mask: 0.5043, decode.d0.loss_dice: 0.7455, decode.d1.loss_cls: 0.2655, decode.d1.loss_mask: 0.4837, decode.d1.loss_dice: 0.7032, decode.d2.loss_cls: 0.2204, decode.d2.loss_mask: 0.4769, decode.d2.loss_dice: 0.6855, decode.d3.loss_cls: 0.2111, decode.d3.loss_mask: 0.4716, decode.d3.loss_dice: 0.6758, decode.d4.loss_cls: 0.2004, decode.d4.loss_mask: 0.4698, decode.d4.loss_dice: 0.6789, decode.d5.loss_cls: 0.2007, decode.d5.loss_mask: 0.4693, decode.d5.loss_dice: 0.6755, decode.d6.loss_cls: 0.1945, decode.d6.loss_mask: 0.4682, decode.d6.loss_dice: 0.6710, decode.d7.loss_cls: 0.1969, decode.d7.loss_mask: 0.4659, decode.d7.loss_dice: 0.6730, decode.d8.loss_cls: 0.1970, decode.d8.loss_mask: 0.4665, decode.d8.loss_dice: 0.6696, loss: 14.7321, grad_norm: 72.6560 2023-11-22 15:26:06,089 - mmseg - INFO - Iter [111650/160000] lr: 2.878e-06, eta: 7:52:17, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1955, decode.loss_mask: 0.4635, decode.loss_dice: 0.6934, decode.d0.loss_cls: 1.2727, decode.d0.loss_mask: 0.4943, decode.d0.loss_dice: 0.7678, decode.d1.loss_cls: 0.2672, decode.d1.loss_mask: 0.4799, decode.d1.loss_dice: 0.7250, decode.d2.loss_cls: 0.2241, decode.d2.loss_mask: 0.4732, decode.d2.loss_dice: 0.7074, decode.d3.loss_cls: 0.2095, decode.d3.loss_mask: 0.4665, decode.d3.loss_dice: 0.7042, decode.d4.loss_cls: 0.2003, decode.d4.loss_mask: 0.4661, decode.d4.loss_dice: 0.6991, decode.d5.loss_cls: 0.1986, decode.d5.loss_mask: 0.4665, decode.d5.loss_dice: 0.6982, decode.d6.loss_cls: 0.2015, decode.d6.loss_mask: 0.4648, decode.d6.loss_dice: 0.6925, decode.d7.loss_cls: 0.1991, decode.d7.loss_mask: 0.4640, decode.d7.loss_dice: 0.6913, decode.d8.loss_cls: 0.1952, decode.d8.loss_mask: 0.4619, decode.d8.loss_dice: 0.6938, loss: 14.9371, grad_norm: 66.9655 2023-11-22 15:26:34,743 - mmseg - INFO - Iter [111700/160000] lr: 2.875e-06, eta: 7:51:48, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2044, decode.loss_mask: 0.4624, decode.loss_dice: 0.6986, decode.d0.loss_cls: 1.2833, decode.d0.loss_mask: 0.5057, decode.d0.loss_dice: 0.7783, decode.d1.loss_cls: 0.2772, decode.d1.loss_mask: 0.4846, decode.d1.loss_dice: 0.7390, decode.d2.loss_cls: 0.2365, decode.d2.loss_mask: 0.4745, decode.d2.loss_dice: 0.7204, decode.d3.loss_cls: 0.2181, decode.d3.loss_mask: 0.4696, decode.d3.loss_dice: 0.7106, decode.d4.loss_cls: 0.2111, decode.d4.loss_mask: 0.4687, decode.d4.loss_dice: 0.7085, decode.d5.loss_cls: 0.2091, decode.d5.loss_mask: 0.4657, decode.d5.loss_dice: 0.7039, decode.d6.loss_cls: 0.2060, decode.d6.loss_mask: 0.4692, decode.d6.loss_dice: 0.7060, decode.d7.loss_cls: 0.2044, decode.d7.loss_mask: 0.4651, decode.d7.loss_dice: 0.7030, decode.d8.loss_cls: 0.2016, decode.d8.loss_mask: 0.4644, decode.d8.loss_dice: 0.7025, loss: 15.1527, grad_norm: 70.4642 2023-11-22 15:27:03,168 - mmseg - INFO - Iter [111750/160000] lr: 2.872e-06, eta: 7:51:18, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2008, decode.loss_mask: 0.4727, decode.loss_dice: 0.7291, decode.d0.loss_cls: 1.3161, decode.d0.loss_mask: 0.5067, decode.d0.loss_dice: 0.8033, decode.d1.loss_cls: 0.2788, decode.d1.loss_mask: 0.4908, decode.d1.loss_dice: 0.7645, decode.d2.loss_cls: 0.2360, decode.d2.loss_mask: 0.4798, decode.d2.loss_dice: 0.7458, decode.d3.loss_cls: 0.2216, decode.d3.loss_mask: 0.4749, decode.d3.loss_dice: 0.7357, decode.d4.loss_cls: 0.2109, decode.d4.loss_mask: 0.4735, decode.d4.loss_dice: 0.7315, decode.d5.loss_cls: 0.2109, decode.d5.loss_mask: 0.4723, decode.d5.loss_dice: 0.7322, decode.d6.loss_cls: 0.2048, decode.d6.loss_mask: 0.4716, decode.d6.loss_dice: 0.7289, decode.d7.loss_cls: 0.2058, decode.d7.loss_mask: 0.4719, decode.d7.loss_dice: 0.7246, decode.d8.loss_cls: 0.2050, decode.d8.loss_mask: 0.4724, decode.d8.loss_dice: 0.7294, loss: 15.5022, grad_norm: 65.8861 2023-11-22 15:27:31,523 - mmseg - INFO - Iter [111800/160000] lr: 2.869e-06, eta: 7:50:48, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2106, decode.loss_mask: 0.4565, decode.loss_dice: 0.6952, decode.d0.loss_cls: 1.3024, decode.d0.loss_mask: 0.4884, decode.d0.loss_dice: 0.7729, decode.d1.loss_cls: 0.2964, decode.d1.loss_mask: 0.4731, decode.d1.loss_dice: 0.7308, decode.d2.loss_cls: 0.2486, decode.d2.loss_mask: 0.4632, decode.d2.loss_dice: 0.7152, decode.d3.loss_cls: 0.2288, decode.d3.loss_mask: 0.4566, decode.d3.loss_dice: 0.7037, decode.d4.loss_cls: 0.2237, decode.d4.loss_mask: 0.4573, decode.d4.loss_dice: 0.7027, decode.d5.loss_cls: 0.2217, decode.d5.loss_mask: 0.4563, decode.d5.loss_dice: 0.7013, decode.d6.loss_cls: 0.2146, decode.d6.loss_mask: 0.4580, decode.d6.loss_dice: 0.6975, decode.d7.loss_cls: 0.2148, decode.d7.loss_mask: 0.4572, decode.d7.loss_dice: 0.6981, decode.d8.loss_cls: 0.2074, decode.d8.loss_mask: 0.4572, decode.d8.loss_dice: 0.6983, loss: 15.1082, grad_norm: 77.9708 2023-11-22 15:27:59,761 - mmseg - INFO - Iter [111850/160000] lr: 2.866e-06, eta: 7:50:19, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2033, decode.loss_mask: 0.4766, decode.loss_dice: 0.7255, decode.d0.loss_cls: 1.3216, decode.d0.loss_mask: 0.5140, decode.d0.loss_dice: 0.8052, decode.d1.loss_cls: 0.2806, decode.d1.loss_mask: 0.4973, decode.d1.loss_dice: 0.7669, decode.d2.loss_cls: 0.2378, decode.d2.loss_mask: 0.4866, decode.d2.loss_dice: 0.7488, decode.d3.loss_cls: 0.2162, decode.d3.loss_mask: 0.4822, decode.d3.loss_dice: 0.7312, decode.d4.loss_cls: 0.2145, decode.d4.loss_mask: 0.4805, decode.d4.loss_dice: 0.7321, decode.d5.loss_cls: 0.2109, decode.d5.loss_mask: 0.4793, decode.d5.loss_dice: 0.7302, decode.d6.loss_cls: 0.2050, decode.d6.loss_mask: 0.4786, decode.d6.loss_dice: 0.7250, decode.d7.loss_cls: 0.2030, decode.d7.loss_mask: 0.4784, decode.d7.loss_dice: 0.7270, decode.d8.loss_cls: 0.2055, decode.d8.loss_mask: 0.4784, decode.d8.loss_dice: 0.7275, loss: 15.5700, grad_norm: 71.8647 2023-11-22 15:28:28,080 - mmseg - INFO - Iter [111900/160000] lr: 2.863e-06, eta: 7:49:49, time: 0.566, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1975, decode.loss_mask: 0.4727, decode.loss_dice: 0.6824, decode.d0.loss_cls: 1.2844, decode.d0.loss_mask: 0.5109, decode.d0.loss_dice: 0.7699, decode.d1.loss_cls: 0.2691, decode.d1.loss_mask: 0.4934, decode.d1.loss_dice: 0.7286, decode.d2.loss_cls: 0.2385, decode.d2.loss_mask: 0.4821, decode.d2.loss_dice: 0.7030, decode.d3.loss_cls: 0.2168, decode.d3.loss_mask: 0.4782, decode.d3.loss_dice: 0.6951, decode.d4.loss_cls: 0.2107, decode.d4.loss_mask: 0.4771, decode.d4.loss_dice: 0.6925, decode.d5.loss_cls: 0.2010, decode.d5.loss_mask: 0.4774, decode.d5.loss_dice: 0.6880, decode.d6.loss_cls: 0.2034, decode.d6.loss_mask: 0.4723, decode.d6.loss_dice: 0.6805, decode.d7.loss_cls: 0.1998, decode.d7.loss_mask: 0.4721, decode.d7.loss_dice: 0.6803, decode.d8.loss_cls: 0.1966, decode.d8.loss_mask: 0.4730, decode.d8.loss_dice: 0.6851, loss: 15.0324, grad_norm: 71.1697 2023-11-22 15:28:56,341 - mmseg - INFO - Iter [111950/160000] lr: 2.860e-06, eta: 7:49:19, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2173, decode.loss_mask: 0.4458, decode.loss_dice: 0.7031, decode.d0.loss_cls: 1.3222, decode.d0.loss_mask: 0.4842, decode.d0.loss_dice: 0.7811, decode.d1.loss_cls: 0.2916, decode.d1.loss_mask: 0.4639, decode.d1.loss_dice: 0.7382, decode.d2.loss_cls: 0.2500, decode.d2.loss_mask: 0.4567, decode.d2.loss_dice: 0.7229, decode.d3.loss_cls: 0.2310, decode.d3.loss_mask: 0.4527, decode.d3.loss_dice: 0.7123, decode.d4.loss_cls: 0.2222, decode.d4.loss_mask: 0.4509, decode.d4.loss_dice: 0.7078, decode.d5.loss_cls: 0.2237, decode.d5.loss_mask: 0.4488, decode.d5.loss_dice: 0.7060, decode.d6.loss_cls: 0.2231, decode.d6.loss_mask: 0.4471, decode.d6.loss_dice: 0.7031, decode.d7.loss_cls: 0.2190, decode.d7.loss_mask: 0.4458, decode.d7.loss_dice: 0.7052, decode.d8.loss_cls: 0.2178, decode.d8.loss_mask: 0.4462, decode.d8.loss_dice: 0.7045, loss: 15.1442, grad_norm: 69.1021 2023-11-22 15:29:25,495 - mmseg - INFO - Saving checkpoint at 112000 iterations 2023-11-22 15:29:33,614 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 15:29:33,614 - mmseg - INFO - Iter [112000/160000] lr: 2.858e-06, eta: 7:48:53, time: 0.746, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1969, decode.loss_mask: 0.4526, decode.loss_dice: 0.6810, decode.d0.loss_cls: 1.2965, decode.d0.loss_mask: 0.4881, decode.d0.loss_dice: 0.7605, decode.d1.loss_cls: 0.2736, decode.d1.loss_mask: 0.4681, decode.d1.loss_dice: 0.7181, decode.d2.loss_cls: 0.2363, decode.d2.loss_mask: 0.4604, decode.d2.loss_dice: 0.6957, decode.d3.loss_cls: 0.2185, decode.d3.loss_mask: 0.4549, decode.d3.loss_dice: 0.6847, decode.d4.loss_cls: 0.2120, decode.d4.loss_mask: 0.4536, decode.d4.loss_dice: 0.6858, decode.d5.loss_cls: 0.2028, decode.d5.loss_mask: 0.4542, decode.d5.loss_dice: 0.6874, decode.d6.loss_cls: 0.2013, decode.d6.loss_mask: 0.4533, decode.d6.loss_dice: 0.6833, decode.d7.loss_cls: 0.2017, decode.d7.loss_mask: 0.4541, decode.d7.loss_dice: 0.6803, decode.d8.loss_cls: 0.1990, decode.d8.loss_mask: 0.4527, decode.d8.loss_dice: 0.6838, loss: 14.7913, grad_norm: 72.8035 2023-11-22 15:29:53,024 - mmseg - INFO - per class results: 2023-11-22 15:29:53,029 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.12 | 87.89 | | building | 83.68 | 90.8 | | sky | 95.19 | 97.72 | | floor | 84.41 | 91.34 | | tree | 75.82 | 88.52 | | ceiling | 86.27 | 92.91 | | road | 86.04 | 93.48 | | bed | 91.38 | 95.14 | | windowpane | 64.17 | 81.59 | | grass | 71.11 | 84.94 | | cabinet | 63.84 | 76.83 | | sidewalk | 66.32 | 75.64 | | person | 86.15 | 93.3 | | earth | 37.77 | 54.53 | | door | 52.93 | 73.85 | | table | 71.99 | 83.48 | | mountain | 58.75 | 74.27 | | plant | 52.44 | 63.06 | | curtain | 76.51 | 87.34 | | chair | 63.65 | 73.68 | | car | 87.73 | 93.96 | | water | 57.35 | 68.78 | | painting | 75.86 | 90.63 | | sofa | 73.78 | 88.35 | | shelf | 46.81 | 59.63 | | house | 40.78 | 64.71 | | sea | 64.02 | 90.28 | | mirror | 75.01 | 82.96 | | rug | 67.59 | 81.68 | | field | 38.66 | 55.8 | | armchair | 51.69 | 70.53 | | seat | 64.78 | 84.47 | | fence | 51.41 | 66.82 | | desk | 54.5 | 75.94 | | rock | 53.69 | 70.5 | | wardrobe | 50.9 | 74.74 | | lamp | 73.63 | 83.0 | | bathtub | 74.94 | 87.11 | | railing | 36.48 | 52.87 | | cushion | 65.33 | 74.94 | | base | 42.21 | 71.74 | | box | 33.62 | 44.21 | | column | 52.06 | 70.85 | | signboard | 42.6 | 59.78 | | chest of drawers | 40.66 | 59.63 | | counter | 46.1 | 53.69 | | sand | 40.93 | 60.45 | | sink | 81.04 | 87.43 | | skyscraper | 65.24 | 88.55 | | fireplace | 75.01 | 92.81 | | refrigerator | 78.6 | 84.03 | | grandstand | 47.31 | 81.5 | | path | 26.78 | 48.99 | | stairs | 36.4 | 45.85 | | runway | 75.69 | 97.55 | | case | 63.71 | 85.04 | | pool table | 94.21 | 97.54 | | pillow | 64.83 | 77.66 | | screen door | 55.42 | 59.06 | | stairway | 36.5 | 48.24 | | river | 15.45 | 32.29 | | bridge | 79.54 | 90.39 | | bookcase | 28.66 | 52.19 | | blind | 45.04 | 54.02 | | coffee table | 71.86 | 86.96 | | toilet | 91.21 | 93.72 | | flower | 47.65 | 70.02 | | book | 53.44 | 75.88 | | hill | 7.99 | 13.43 | | bench | 64.95 | 72.26 | | countertop | 59.9 | 78.78 | | stove | 84.16 | 87.32 | | palm | 55.58 | 83.02 | | kitchen island | 60.61 | 89.57 | | computer | 79.66 | 89.31 | | swivel chair | 47.43 | 76.22 | | boat | 35.07 | 52.13 | | bar | 71.42 | 79.25 | | arcade machine | 78.65 | 84.67 | | hovel | 44.7 | 76.56 | | bus | 93.72 | 96.86 | | towel | 73.67 | 88.77 | | light | 65.34 | 78.2 | | truck | 40.18 | 53.93 | | tower | 43.2 | 72.42 | | chandelier | 72.06 | 89.19 | | awning | 44.54 | 55.42 | | streetlight | 45.82 | 64.61 | | booth | 48.23 | 68.23 | | television receiver | 79.5 | 88.35 | | airplane | 70.63 | 75.49 | | dirt track | 17.71 | 20.23 | | apparel | 50.54 | 70.68 | | pole | 34.33 | 50.63 | | land | 3.78 | 7.35 | | bannister | 24.33 | 40.58 | | escalator | 59.07 | 71.33 | | ottoman | 51.89 | 77.07 | | bottle | 41.64 | 68.74 | | buffet | 36.98 | 42.65 | | poster | 28.79 | 45.64 | | stage | 26.34 | 48.25 | | van | 46.5 | 69.45 | | ship | 4.95 | 7.12 | | fountain | 21.49 | 21.9 | | conveyer belt | 61.98 | 90.54 | | canopy | 25.9 | 51.85 | | washer | 70.74 | 74.52 | | plaything | 38.88 | 54.7 | | swimming pool | 69.41 | 71.95 | | stool | 51.26 | 77.69 | | barrel | 90.3 | 98.21 | | basket | 45.29 | 59.37 | | waterfall | 80.01 | 88.68 | | tent | 95.02 | 98.08 | | bag | 26.82 | 39.18 | | minibike | 73.42 | 92.84 | | cradle | 90.75 | 97.63 | | oven | 24.98 | 70.5 | | ball | 59.97 | 74.31 | | food | 62.11 | 71.14 | | step | 13.84 | 20.37 | | tank | 58.58 | 66.18 | | trade name | 32.37 | 40.95 | | microwave | 42.9 | 46.81 | | pot | 52.99 | 65.05 | | animal | 58.9 | 60.16 | | bicycle | 63.7 | 80.56 | | lake | 56.62 | 63.55 | | dishwasher | 80.87 | 86.71 | | screen | 57.78 | 92.11 | | blanket | 33.21 | 45.38 | | sculpture | 57.19 | 89.69 | | hood | 66.27 | 77.97 | | sconce | 61.33 | 75.41 | | vase | 58.25 | 75.8 | | traffic light | 48.28 | 72.3 | | tray | 18.11 | 31.28 | | ashcan | 54.55 | 77.19 | | fan | 67.74 | 85.74 | | pier | 32.11 | 42.8 | | crt screen | 3.18 | 9.54 | | plate | 63.74 | 83.38 | | monitor | 1.58 | 1.8 | | bulletin board | 58.04 | 77.84 | | shower | 21.99 | 27.01 | | radiator | 74.55 | 87.57 | | glass | 25.27 | 28.6 | | clock | 55.55 | 70.96 | | flag | 74.07 | 83.03 | +---------------------+-------+-------+ 2023-11-22 15:29:53,030 - mmseg - INFO - Summary: 2023-11-22 15:29:53,030 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.99 | 55.75 | 69.87 | +-------+-------+-------+ 2023-11-22 15:29:53,075 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_l_640_160k_ade20k_ss/best_mIoU_iter_98000.pth was removed 2023-11-22 15:30:00,524 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_112000.pth. 2023-11-22 15:30:00,525 - mmseg - INFO - Best mIoU is 0.5575 at 112000 iter. 2023-11-22 15:30:00,525 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 15:30:00,525 - mmseg - INFO - Iter(val) [250] aAcc: 0.8499, mIoU: 0.5575, mAcc: 0.6987, IoU.wall: 0.8112, IoU.building: 0.8368, IoU.sky: 0.9519, IoU.floor: 0.8441, IoU.tree: 0.7582, IoU.ceiling: 0.8627, IoU.road: 0.8604, IoU.bed : 0.9138, IoU.windowpane: 0.6417, IoU.grass: 0.7111, IoU.cabinet: 0.6384, IoU.sidewalk: 0.6632, IoU.person: 0.8615, IoU.earth: 0.3777, IoU.door: 0.5293, IoU.table: 0.7199, IoU.mountain: 0.5875, IoU.plant: 0.5244, IoU.curtain: 0.7651, IoU.chair: 0.6365, IoU.car: 0.8773, IoU.water: 0.5735, IoU.painting: 0.7586, IoU.sofa: 0.7378, IoU.shelf: 0.4681, IoU.house: 0.4078, IoU.sea: 0.6402, IoU.mirror: 0.7501, IoU.rug: 0.6759, IoU.field: 0.3866, IoU.armchair: 0.5169, IoU.seat: 0.6478, IoU.fence: 0.5141, IoU.desk: 0.5450, IoU.rock: 0.5369, IoU.wardrobe: 0.5090, IoU.lamp: 0.7363, IoU.bathtub: 0.7494, IoU.railing: 0.3648, IoU.cushion: 0.6533, IoU.base: 0.4221, IoU.box: 0.3362, IoU.column: 0.5206, IoU.signboard: 0.4260, IoU.chest of drawers: 0.4066, IoU.counter: 0.4610, IoU.sand: 0.4093, IoU.sink: 0.8104, IoU.skyscraper: 0.6524, IoU.fireplace: 0.7501, IoU.refrigerator: 0.7860, IoU.grandstand: 0.4731, IoU.path: 0.2678, IoU.stairs: 0.3640, IoU.runway: 0.7569, IoU.case: 0.6371, IoU.pool table: 0.9421, IoU.pillow: 0.6483, IoU.screen door: 0.5542, IoU.stairway: 0.3650, IoU.river: 0.1545, IoU.bridge: 0.7954, IoU.bookcase: 0.2866, IoU.blind: 0.4504, IoU.coffee table: 0.7186, IoU.toilet: 0.9121, IoU.flower: 0.4765, IoU.book: 0.5344, IoU.hill: 0.0799, IoU.bench: 0.6495, IoU.countertop: 0.5990, IoU.stove: 0.8416, IoU.palm: 0.5558, IoU.kitchen island: 0.6061, IoU.computer: 0.7966, IoU.swivel chair: 0.4743, IoU.boat: 0.3507, IoU.bar: 0.7142, IoU.arcade machine: 0.7865, IoU.hovel: 0.4470, IoU.bus: 0.9372, IoU.towel: 0.7367, IoU.light: 0.6534, IoU.truck: 0.4018, IoU.tower: 0.4320, IoU.chandelier: 0.7206, IoU.awning: 0.4454, IoU.streetlight: 0.4582, IoU.booth: 0.4823, IoU.television receiver: 0.7950, IoU.airplane: 0.7063, IoU.dirt track: 0.1771, IoU.apparel: 0.5054, IoU.pole: 0.3433, IoU.land: 0.0378, IoU.bannister: 0.2433, IoU.escalator: 0.5907, IoU.ottoman: 0.5189, IoU.bottle: 0.4164, IoU.buffet: 0.3698, IoU.poster: 0.2879, IoU.stage: 0.2634, IoU.van: 0.4650, IoU.ship: 0.0495, IoU.fountain: 0.2149, IoU.conveyer belt: 0.6198, IoU.canopy: 0.2590, IoU.washer: 0.7074, IoU.plaything: 0.3888, IoU.swimming pool: 0.6941, IoU.stool: 0.5126, IoU.barrel: 0.9030, IoU.basket: 0.4529, IoU.waterfall: 0.8001, IoU.tent: 0.9502, IoU.bag: 0.2682, IoU.minibike: 0.7342, IoU.cradle: 0.9075, IoU.oven: 0.2498, IoU.ball: 0.5997, IoU.food: 0.6211, IoU.step: 0.1384, IoU.tank: 0.5858, IoU.trade name: 0.3237, IoU.microwave: 0.4290, IoU.pot: 0.5299, IoU.animal: 0.5890, IoU.bicycle: 0.6370, IoU.lake: 0.5662, IoU.dishwasher: 0.8087, IoU.screen: 0.5778, IoU.blanket: 0.3321, IoU.sculpture: 0.5719, IoU.hood: 0.6627, IoU.sconce: 0.6133, IoU.vase: 0.5825, IoU.traffic light: 0.4828, IoU.tray: 0.1811, IoU.ashcan: 0.5455, IoU.fan: 0.6774, IoU.pier: 0.3211, IoU.crt screen: 0.0318, IoU.plate: 0.6374, IoU.monitor: 0.0158, IoU.bulletin board: 0.5804, IoU.shower: 0.2199, IoU.radiator: 0.7455, IoU.glass: 0.2527, IoU.clock: 0.5555, IoU.flag: 0.7407, Acc.wall: 0.8789, Acc.building: 0.9080, Acc.sky: 0.9772, Acc.floor: 0.9134, Acc.tree: 0.8852, Acc.ceiling: 0.9291, Acc.road: 0.9348, Acc.bed : 0.9514, Acc.windowpane: 0.8159, Acc.grass: 0.8494, Acc.cabinet: 0.7683, Acc.sidewalk: 0.7564, Acc.person: 0.9330, Acc.earth: 0.5453, Acc.door: 0.7385, Acc.table: 0.8348, Acc.mountain: 0.7427, Acc.plant: 0.6306, Acc.curtain: 0.8734, Acc.chair: 0.7368, Acc.car: 0.9396, Acc.water: 0.6878, Acc.painting: 0.9063, Acc.sofa: 0.8835, Acc.shelf: 0.5963, Acc.house: 0.6471, Acc.sea: 0.9028, Acc.mirror: 0.8296, Acc.rug: 0.8168, Acc.field: 0.5580, Acc.armchair: 0.7053, Acc.seat: 0.8447, Acc.fence: 0.6682, Acc.desk: 0.7594, Acc.rock: 0.7050, Acc.wardrobe: 0.7474, Acc.lamp: 0.8300, Acc.bathtub: 0.8711, Acc.railing: 0.5287, Acc.cushion: 0.7494, Acc.base: 0.7174, Acc.box: 0.4421, Acc.column: 0.7085, Acc.signboard: 0.5978, Acc.chest of drawers: 0.5963, Acc.counter: 0.5369, Acc.sand: 0.6045, Acc.sink: 0.8743, Acc.skyscraper: 0.8855, Acc.fireplace: 0.9281, Acc.refrigerator: 0.8403, Acc.grandstand: 0.8150, Acc.path: 0.4899, Acc.stairs: 0.4585, Acc.runway: 0.9755, Acc.case: 0.8504, Acc.pool table: 0.9754, Acc.pillow: 0.7766, Acc.screen door: 0.5906, Acc.stairway: 0.4824, Acc.river: 0.3229, Acc.bridge: 0.9039, Acc.bookcase: 0.5219, Acc.blind: 0.5402, Acc.coffee table: 0.8696, Acc.toilet: 0.9372, Acc.flower: 0.7002, Acc.book: 0.7588, Acc.hill: 0.1343, Acc.bench: 0.7226, Acc.countertop: 0.7878, Acc.stove: 0.8732, Acc.palm: 0.8302, Acc.kitchen island: 0.8957, Acc.computer: 0.8931, Acc.swivel chair: 0.7622, Acc.boat: 0.5213, Acc.bar: 0.7925, Acc.arcade machine: 0.8467, Acc.hovel: 0.7656, Acc.bus: 0.9686, Acc.towel: 0.8877, Acc.light: 0.7820, Acc.truck: 0.5393, Acc.tower: 0.7242, Acc.chandelier: 0.8919, Acc.awning: 0.5542, Acc.streetlight: 0.6461, Acc.booth: 0.6823, Acc.television receiver: 0.8835, Acc.airplane: 0.7549, Acc.dirt track: 0.2023, Acc.apparel: 0.7068, Acc.pole: 0.5063, Acc.land: 0.0735, Acc.bannister: 0.4058, Acc.escalator: 0.7133, Acc.ottoman: 0.7707, Acc.bottle: 0.6874, Acc.buffet: 0.4265, Acc.poster: 0.4564, Acc.stage: 0.4825, Acc.van: 0.6945, Acc.ship: 0.0712, Acc.fountain: 0.2190, Acc.conveyer belt: 0.9054, Acc.canopy: 0.5185, Acc.washer: 0.7452, Acc.plaything: 0.5470, Acc.swimming pool: 0.7195, Acc.stool: 0.7769, Acc.barrel: 0.9821, Acc.basket: 0.5937, Acc.waterfall: 0.8868, Acc.tent: 0.9808, Acc.bag: 0.3918, Acc.minibike: 0.9284, Acc.cradle: 0.9763, Acc.oven: 0.7050, Acc.ball: 0.7431, Acc.food: 0.7114, Acc.step: 0.2037, Acc.tank: 0.6618, Acc.trade name: 0.4095, Acc.microwave: 0.4681, Acc.pot: 0.6505, Acc.animal: 0.6016, Acc.bicycle: 0.8056, Acc.lake: 0.6355, Acc.dishwasher: 0.8671, Acc.screen: 0.9211, Acc.blanket: 0.4538, Acc.sculpture: 0.8969, Acc.hood: 0.7797, Acc.sconce: 0.7541, Acc.vase: 0.7580, Acc.traffic light: 0.7230, Acc.tray: 0.3128, Acc.ashcan: 0.7719, Acc.fan: 0.8574, Acc.pier: 0.4280, Acc.crt screen: 0.0954, Acc.plate: 0.8338, Acc.monitor: 0.0180, Acc.bulletin board: 0.7784, Acc.shower: 0.2701, Acc.radiator: 0.8757, Acc.glass: 0.2860, Acc.clock: 0.7096, Acc.flag: 0.8303 2023-11-22 15:30:29,006 - mmseg - INFO - Iter [112050/160000] lr: 2.855e-06, eta: 7:48:35, time: 1.108, data_time: 0.550, memory: 38143, decode.loss_cls: 0.1977, decode.loss_mask: 0.4691, decode.loss_dice: 0.6773, decode.d0.loss_cls: 1.2720, decode.d0.loss_mask: 0.5032, decode.d0.loss_dice: 0.7534, decode.d1.loss_cls: 0.2720, decode.d1.loss_mask: 0.4861, decode.d1.loss_dice: 0.7142, decode.d2.loss_cls: 0.2275, decode.d2.loss_mask: 0.4812, decode.d2.loss_dice: 0.6942, decode.d3.loss_cls: 0.2147, decode.d3.loss_mask: 0.4735, decode.d3.loss_dice: 0.6826, decode.d4.loss_cls: 0.2098, decode.d4.loss_mask: 0.4735, decode.d4.loss_dice: 0.6833, decode.d5.loss_cls: 0.2088, decode.d5.loss_mask: 0.4707, decode.d5.loss_dice: 0.6796, decode.d6.loss_cls: 0.2066, decode.d6.loss_mask: 0.4707, decode.d6.loss_dice: 0.6759, decode.d7.loss_cls: 0.2047, decode.d7.loss_mask: 0.4707, decode.d7.loss_dice: 0.6787, decode.d8.loss_cls: 0.2005, decode.d8.loss_mask: 0.4705, decode.d8.loss_dice: 0.6768, loss: 14.8993, grad_norm: 71.2982 2023-11-22 15:30:57,374 - mmseg - INFO - Iter [112100/160000] lr: 2.852e-06, eta: 7:48:05, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2076, decode.loss_mask: 0.4554, decode.loss_dice: 0.6959, decode.d0.loss_cls: 1.3029, decode.d0.loss_mask: 0.4910, decode.d0.loss_dice: 0.7681, decode.d1.loss_cls: 0.2858, decode.d1.loss_mask: 0.4752, decode.d1.loss_dice: 0.7301, decode.d2.loss_cls: 0.2374, decode.d2.loss_mask: 0.4631, decode.d2.loss_dice: 0.7118, decode.d3.loss_cls: 0.2185, decode.d3.loss_mask: 0.4595, decode.d3.loss_dice: 0.7056, decode.d4.loss_cls: 0.2151, decode.d4.loss_mask: 0.4599, decode.d4.loss_dice: 0.7050, decode.d5.loss_cls: 0.2112, decode.d5.loss_mask: 0.4579, decode.d5.loss_dice: 0.7040, decode.d6.loss_cls: 0.2053, decode.d6.loss_mask: 0.4574, decode.d6.loss_dice: 0.6965, decode.d7.loss_cls: 0.2050, decode.d7.loss_mask: 0.4563, decode.d7.loss_dice: 0.6947, decode.d8.loss_cls: 0.2064, decode.d8.loss_mask: 0.4541, decode.d8.loss_dice: 0.6927, loss: 15.0293, grad_norm: 68.0449 2023-11-22 15:31:25,626 - mmseg - INFO - Iter [112150/160000] lr: 2.849e-06, eta: 7:47:36, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2107, decode.loss_mask: 0.4468, decode.loss_dice: 0.6899, decode.d0.loss_cls: 1.3269, decode.d0.loss_mask: 0.4784, decode.d0.loss_dice: 0.7675, decode.d1.loss_cls: 0.2895, decode.d1.loss_mask: 0.4654, decode.d1.loss_dice: 0.7274, decode.d2.loss_cls: 0.2445, decode.d2.loss_mask: 0.4552, decode.d2.loss_dice: 0.7117, decode.d3.loss_cls: 0.2288, decode.d3.loss_mask: 0.4518, decode.d3.loss_dice: 0.6985, decode.d4.loss_cls: 0.2206, decode.d4.loss_mask: 0.4533, decode.d4.loss_dice: 0.6977, decode.d5.loss_cls: 0.2226, decode.d5.loss_mask: 0.4494, decode.d5.loss_dice: 0.6948, decode.d6.loss_cls: 0.2163, decode.d6.loss_mask: 0.4486, decode.d6.loss_dice: 0.6921, decode.d7.loss_cls: 0.2159, decode.d7.loss_mask: 0.4458, decode.d7.loss_dice: 0.6914, decode.d8.loss_cls: 0.2130, decode.d8.loss_mask: 0.4442, decode.d8.loss_dice: 0.6910, loss: 14.9893, grad_norm: 64.2189 2023-11-22 15:31:53,859 - mmseg - INFO - Iter [112200/160000] lr: 2.846e-06, eta: 7:47:06, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2015, decode.loss_mask: 0.4873, decode.loss_dice: 0.7105, decode.d0.loss_cls: 1.3057, decode.d0.loss_mask: 0.5200, decode.d0.loss_dice: 0.7856, decode.d1.loss_cls: 0.2883, decode.d1.loss_mask: 0.5030, decode.d1.loss_dice: 0.7482, decode.d2.loss_cls: 0.2355, decode.d2.loss_mask: 0.4957, decode.d2.loss_dice: 0.7322, decode.d3.loss_cls: 0.2197, decode.d3.loss_mask: 0.4915, decode.d3.loss_dice: 0.7121, decode.d4.loss_cls: 0.2149, decode.d4.loss_mask: 0.4901, decode.d4.loss_dice: 0.7192, decode.d5.loss_cls: 0.2071, decode.d5.loss_mask: 0.4893, decode.d5.loss_dice: 0.7146, decode.d6.loss_cls: 0.2126, decode.d6.loss_mask: 0.4878, decode.d6.loss_dice: 0.7054, decode.d7.loss_cls: 0.2079, decode.d7.loss_mask: 0.4882, decode.d7.loss_dice: 0.7084, decode.d8.loss_cls: 0.2020, decode.d8.loss_mask: 0.4872, decode.d8.loss_dice: 0.7086, loss: 15.4802, grad_norm: 70.8642 2023-11-22 15:32:22,244 - mmseg - INFO - Iter [112250/160000] lr: 2.843e-06, eta: 7:46:36, time: 0.568, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2072, decode.loss_mask: 0.4630, decode.loss_dice: 0.7001, decode.d0.loss_cls: 1.3081, decode.d0.loss_mask: 0.4928, decode.d0.loss_dice: 0.7750, decode.d1.loss_cls: 0.2850, decode.d1.loss_mask: 0.4856, decode.d1.loss_dice: 0.7398, decode.d2.loss_cls: 0.2428, decode.d2.loss_mask: 0.4752, decode.d2.loss_dice: 0.7231, decode.d3.loss_cls: 0.2245, decode.d3.loss_mask: 0.4670, decode.d3.loss_dice: 0.7073, decode.d4.loss_cls: 0.2205, decode.d4.loss_mask: 0.4669, decode.d4.loss_dice: 0.7070, decode.d5.loss_cls: 0.2153, decode.d5.loss_mask: 0.4665, decode.d5.loss_dice: 0.7079, decode.d6.loss_cls: 0.2109, decode.d6.loss_mask: 0.4648, decode.d6.loss_dice: 0.7067, decode.d7.loss_cls: 0.2106, decode.d7.loss_mask: 0.4647, decode.d7.loss_dice: 0.7059, decode.d8.loss_cls: 0.2066, decode.d8.loss_mask: 0.4653, decode.d8.loss_dice: 0.7059, loss: 15.2220, grad_norm: 67.0205 2023-11-22 15:32:50,970 - mmseg - INFO - Iter [112300/160000] lr: 2.840e-06, eta: 7:46:07, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2070, decode.loss_mask: 0.4518, decode.loss_dice: 0.6838, decode.d0.loss_cls: 1.2902, decode.d0.loss_mask: 0.4814, decode.d0.loss_dice: 0.7608, decode.d1.loss_cls: 0.2790, decode.d1.loss_mask: 0.4675, decode.d1.loss_dice: 0.7181, decode.d2.loss_cls: 0.2355, decode.d2.loss_mask: 0.4598, decode.d2.loss_dice: 0.6974, decode.d3.loss_cls: 0.2212, decode.d3.loss_mask: 0.4554, decode.d3.loss_dice: 0.6918, decode.d4.loss_cls: 0.2163, decode.d4.loss_mask: 0.4543, decode.d4.loss_dice: 0.6857, decode.d5.loss_cls: 0.2099, decode.d5.loss_mask: 0.4538, decode.d5.loss_dice: 0.6872, decode.d6.loss_cls: 0.2080, decode.d6.loss_mask: 0.4515, decode.d6.loss_dice: 0.6845, decode.d7.loss_cls: 0.2101, decode.d7.loss_mask: 0.4522, decode.d7.loss_dice: 0.6865, decode.d8.loss_cls: 0.2039, decode.d8.loss_mask: 0.4528, decode.d8.loss_dice: 0.6875, loss: 14.8448, grad_norm: 69.0309 2023-11-22 15:33:19,222 - mmseg - INFO - Iter [112350/160000] lr: 2.837e-06, eta: 7:45:37, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2093, decode.loss_mask: 0.4830, decode.loss_dice: 0.7212, decode.d0.loss_cls: 1.3045, decode.d0.loss_mask: 0.5173, decode.d0.loss_dice: 0.7960, decode.d1.loss_cls: 0.3006, decode.d1.loss_mask: 0.5008, decode.d1.loss_dice: 0.7593, decode.d2.loss_cls: 0.2509, decode.d2.loss_mask: 0.4913, decode.d2.loss_dice: 0.7432, decode.d3.loss_cls: 0.2301, decode.d3.loss_mask: 0.4877, decode.d3.loss_dice: 0.7298, decode.d4.loss_cls: 0.2244, decode.d4.loss_mask: 0.4868, decode.d4.loss_dice: 0.7291, decode.d5.loss_cls: 0.2171, decode.d5.loss_mask: 0.4827, decode.d5.loss_dice: 0.7268, decode.d6.loss_cls: 0.2203, decode.d6.loss_mask: 0.4825, decode.d6.loss_dice: 0.7202, decode.d7.loss_cls: 0.2122, decode.d7.loss_mask: 0.4826, decode.d7.loss_dice: 0.7233, decode.d8.loss_cls: 0.2133, decode.d8.loss_mask: 0.4805, decode.d8.loss_dice: 0.7225, loss: 15.6491, grad_norm: 71.9761 2023-11-22 15:33:47,745 - mmseg - INFO - Iter [112400/160000] lr: 2.834e-06, eta: 7:45:07, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1983, decode.loss_mask: 0.4410, decode.loss_dice: 0.6916, decode.d0.loss_cls: 1.2990, decode.d0.loss_mask: 0.4759, decode.d0.loss_dice: 0.7752, decode.d1.loss_cls: 0.2823, decode.d1.loss_mask: 0.4596, decode.d1.loss_dice: 0.7291, decode.d2.loss_cls: 0.2352, decode.d2.loss_mask: 0.4466, decode.d2.loss_dice: 0.7081, decode.d3.loss_cls: 0.2151, decode.d3.loss_mask: 0.4465, decode.d3.loss_dice: 0.7028, decode.d4.loss_cls: 0.2063, decode.d4.loss_mask: 0.4444, decode.d4.loss_dice: 0.6979, decode.d5.loss_cls: 0.2014, decode.d5.loss_mask: 0.4456, decode.d5.loss_dice: 0.6957, decode.d6.loss_cls: 0.1995, decode.d6.loss_mask: 0.4435, decode.d6.loss_dice: 0.6910, decode.d7.loss_cls: 0.2015, decode.d7.loss_mask: 0.4433, decode.d7.loss_dice: 0.6920, decode.d8.loss_cls: 0.1938, decode.d8.loss_mask: 0.4445, decode.d8.loss_dice: 0.6915, loss: 14.7982, grad_norm: 70.1367 2023-11-22 15:34:18,458 - mmseg - INFO - Iter [112450/160000] lr: 2.831e-06, eta: 7:44:38, time: 0.612, data_time: 0.058, memory: 38143, decode.loss_cls: 0.2049, decode.loss_mask: 0.4673, decode.loss_dice: 0.6900, decode.d0.loss_cls: 1.2881, decode.d0.loss_mask: 0.4995, decode.d0.loss_dice: 0.7654, decode.d1.loss_cls: 0.2711, decode.d1.loss_mask: 0.4852, decode.d1.loss_dice: 0.7288, decode.d2.loss_cls: 0.2375, decode.d2.loss_mask: 0.4749, decode.d2.loss_dice: 0.7124, decode.d3.loss_cls: 0.2185, decode.d3.loss_mask: 0.4673, decode.d3.loss_dice: 0.6998, decode.d4.loss_cls: 0.2171, decode.d4.loss_mask: 0.4671, decode.d4.loss_dice: 0.7007, decode.d5.loss_cls: 0.2131, decode.d5.loss_mask: 0.4660, decode.d5.loss_dice: 0.6993, decode.d6.loss_cls: 0.2137, decode.d6.loss_mask: 0.4663, decode.d6.loss_dice: 0.6911, decode.d7.loss_cls: 0.2105, decode.d7.loss_mask: 0.4656, decode.d7.loss_dice: 0.6925, decode.d8.loss_cls: 0.2067, decode.d8.loss_mask: 0.4660, decode.d8.loss_dice: 0.6914, loss: 15.0777, grad_norm: 69.4124 2023-11-22 15:34:46,866 - mmseg - INFO - Iter [112500/160000] lr: 2.828e-06, eta: 7:44:09, time: 0.570, data_time: 0.015, memory: 38143, decode.loss_cls: 0.1882, decode.loss_mask: 0.4597, decode.loss_dice: 0.6840, decode.d0.loss_cls: 1.2910, decode.d0.loss_mask: 0.4966, decode.d0.loss_dice: 0.7610, decode.d1.loss_cls: 0.2649, decode.d1.loss_mask: 0.4749, decode.d1.loss_dice: 0.7189, decode.d2.loss_cls: 0.2252, decode.d2.loss_mask: 0.4676, decode.d2.loss_dice: 0.7001, decode.d3.loss_cls: 0.2112, decode.d3.loss_mask: 0.4629, decode.d3.loss_dice: 0.6873, decode.d4.loss_cls: 0.2000, decode.d4.loss_mask: 0.4627, decode.d4.loss_dice: 0.6900, decode.d5.loss_cls: 0.1961, decode.d5.loss_mask: 0.4605, decode.d5.loss_dice: 0.6848, decode.d6.loss_cls: 0.1947, decode.d6.loss_mask: 0.4589, decode.d6.loss_dice: 0.6815, decode.d7.loss_cls: 0.1944, decode.d7.loss_mask: 0.4573, decode.d7.loss_dice: 0.6778, decode.d8.loss_cls: 0.1892, decode.d8.loss_mask: 0.4605, decode.d8.loss_dice: 0.6803, loss: 14.7822, grad_norm: 73.2894 2023-11-22 15:35:15,111 - mmseg - INFO - Iter [112550/160000] lr: 2.825e-06, eta: 7:43:39, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1924, decode.loss_mask: 0.4596, decode.loss_dice: 0.6781, decode.d0.loss_cls: 1.3014, decode.d0.loss_mask: 0.4909, decode.d0.loss_dice: 0.7522, decode.d1.loss_cls: 0.2765, decode.d1.loss_mask: 0.4741, decode.d1.loss_dice: 0.7127, decode.d2.loss_cls: 0.2266, decode.d2.loss_mask: 0.4676, decode.d2.loss_dice: 0.6972, decode.d3.loss_cls: 0.2095, decode.d3.loss_mask: 0.4660, decode.d3.loss_dice: 0.6871, decode.d4.loss_cls: 0.2043, decode.d4.loss_mask: 0.4641, decode.d4.loss_dice: 0.6834, decode.d5.loss_cls: 0.1982, decode.d5.loss_mask: 0.4611, decode.d5.loss_dice: 0.6836, decode.d6.loss_cls: 0.1968, decode.d6.loss_mask: 0.4608, decode.d6.loss_dice: 0.6816, decode.d7.loss_cls: 0.1936, decode.d7.loss_mask: 0.4595, decode.d7.loss_dice: 0.6792, decode.d8.loss_cls: 0.1904, decode.d8.loss_mask: 0.4598, decode.d8.loss_dice: 0.6801, loss: 14.7886, grad_norm: 71.8894 2023-11-22 15:35:43,768 - mmseg - INFO - Iter [112600/160000] lr: 2.822e-06, eta: 7:43:09, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1989, decode.loss_mask: 0.4607, decode.loss_dice: 0.6904, decode.d0.loss_cls: 1.3027, decode.d0.loss_mask: 0.4966, decode.d0.loss_dice: 0.7687, decode.d1.loss_cls: 0.2762, decode.d1.loss_mask: 0.4797, decode.d1.loss_dice: 0.7317, decode.d2.loss_cls: 0.2345, decode.d2.loss_mask: 0.4710, decode.d2.loss_dice: 0.7149, decode.d3.loss_cls: 0.2137, decode.d3.loss_mask: 0.4668, decode.d3.loss_dice: 0.6995, decode.d4.loss_cls: 0.2078, decode.d4.loss_mask: 0.4634, decode.d4.loss_dice: 0.6988, decode.d5.loss_cls: 0.2045, decode.d5.loss_mask: 0.4651, decode.d5.loss_dice: 0.7029, decode.d6.loss_cls: 0.2041, decode.d6.loss_mask: 0.4621, decode.d6.loss_dice: 0.6919, decode.d7.loss_cls: 0.1964, decode.d7.loss_mask: 0.4618, decode.d7.loss_dice: 0.6943, decode.d8.loss_cls: 0.1994, decode.d8.loss_mask: 0.4616, decode.d8.loss_dice: 0.6948, loss: 15.0148, grad_norm: 66.1297 2023-11-22 15:36:11,942 - mmseg - INFO - Iter [112650/160000] lr: 2.819e-06, eta: 7:42:40, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2121, decode.loss_mask: 0.4566, decode.loss_dice: 0.6713, decode.d0.loss_cls: 1.2851, decode.d0.loss_mask: 0.4915, decode.d0.loss_dice: 0.7529, decode.d1.loss_cls: 0.2956, decode.d1.loss_mask: 0.4726, decode.d1.loss_dice: 0.7123, decode.d2.loss_cls: 0.2500, decode.d2.loss_mask: 0.4631, decode.d2.loss_dice: 0.6912, decode.d3.loss_cls: 0.2275, decode.d3.loss_mask: 0.4596, decode.d3.loss_dice: 0.6807, decode.d4.loss_cls: 0.2206, decode.d4.loss_mask: 0.4575, decode.d4.loss_dice: 0.6782, decode.d5.loss_cls: 0.2163, decode.d5.loss_mask: 0.4591, decode.d5.loss_dice: 0.6800, decode.d6.loss_cls: 0.2136, decode.d6.loss_mask: 0.4583, decode.d6.loss_dice: 0.6728, decode.d7.loss_cls: 0.2113, decode.d7.loss_mask: 0.4581, decode.d7.loss_dice: 0.6688, decode.d8.loss_cls: 0.2114, decode.d8.loss_mask: 0.4565, decode.d8.loss_dice: 0.6717, loss: 14.8566, grad_norm: 64.8886 2023-11-22 15:36:40,139 - mmseg - INFO - Iter [112700/160000] lr: 2.816e-06, eta: 7:42:10, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1854, decode.loss_mask: 0.4602, decode.loss_dice: 0.6889, decode.d0.loss_cls: 1.2750, decode.d0.loss_mask: 0.4932, decode.d0.loss_dice: 0.7598, decode.d1.loss_cls: 0.2682, decode.d1.loss_mask: 0.4757, decode.d1.loss_dice: 0.7250, decode.d2.loss_cls: 0.2193, decode.d2.loss_mask: 0.4679, decode.d2.loss_dice: 0.7106, decode.d3.loss_cls: 0.2034, decode.d3.loss_mask: 0.4618, decode.d3.loss_dice: 0.6917, decode.d4.loss_cls: 0.1944, decode.d4.loss_mask: 0.4613, decode.d4.loss_dice: 0.6985, decode.d5.loss_cls: 0.1905, decode.d5.loss_mask: 0.4613, decode.d5.loss_dice: 0.6915, decode.d6.loss_cls: 0.1875, decode.d6.loss_mask: 0.4599, decode.d6.loss_dice: 0.6945, decode.d7.loss_cls: 0.1858, decode.d7.loss_mask: 0.4599, decode.d7.loss_dice: 0.6894, decode.d8.loss_cls: 0.1855, decode.d8.loss_mask: 0.4607, decode.d8.loss_dice: 0.6936, loss: 14.8003, grad_norm: 69.2207 2023-11-22 15:37:08,559 - mmseg - INFO - Iter [112750/160000] lr: 2.813e-06, eta: 7:41:40, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1988, decode.loss_mask: 0.4603, decode.loss_dice: 0.6956, decode.d0.loss_cls: 1.2920, decode.d0.loss_mask: 0.4976, decode.d0.loss_dice: 0.7738, decode.d1.loss_cls: 0.2797, decode.d1.loss_mask: 0.4809, decode.d1.loss_dice: 0.7306, decode.d2.loss_cls: 0.2320, decode.d2.loss_mask: 0.4698, decode.d2.loss_dice: 0.7134, decode.d3.loss_cls: 0.2209, decode.d3.loss_mask: 0.4628, decode.d3.loss_dice: 0.6981, decode.d4.loss_cls: 0.2059, decode.d4.loss_mask: 0.4636, decode.d4.loss_dice: 0.7027, decode.d5.loss_cls: 0.2061, decode.d5.loss_mask: 0.4635, decode.d5.loss_dice: 0.6987, decode.d6.loss_cls: 0.2020, decode.d6.loss_mask: 0.4607, decode.d6.loss_dice: 0.6928, decode.d7.loss_cls: 0.1977, decode.d7.loss_mask: 0.4619, decode.d7.loss_dice: 0.6985, decode.d8.loss_cls: 0.1989, decode.d8.loss_mask: 0.4607, decode.d8.loss_dice: 0.6912, loss: 15.0113, grad_norm: 68.6940 2023-11-22 15:37:36,793 - mmseg - INFO - Iter [112800/160000] lr: 2.810e-06, eta: 7:41:10, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2018, decode.loss_mask: 0.4622, decode.loss_dice: 0.6997, decode.d0.loss_cls: 1.2653, decode.d0.loss_mask: 0.4975, decode.d0.loss_dice: 0.7748, decode.d1.loss_cls: 0.2743, decode.d1.loss_mask: 0.4796, decode.d1.loss_dice: 0.7455, decode.d2.loss_cls: 0.2293, decode.d2.loss_mask: 0.4703, decode.d2.loss_dice: 0.7204, decode.d3.loss_cls: 0.2178, decode.d3.loss_mask: 0.4651, decode.d3.loss_dice: 0.7043, decode.d4.loss_cls: 0.2072, decode.d4.loss_mask: 0.4649, decode.d4.loss_dice: 0.7060, decode.d5.loss_cls: 0.2095, decode.d5.loss_mask: 0.4649, decode.d5.loss_dice: 0.7034, decode.d6.loss_cls: 0.2041, decode.d6.loss_mask: 0.4617, decode.d6.loss_dice: 0.7019, decode.d7.loss_cls: 0.2008, decode.d7.loss_mask: 0.4633, decode.d7.loss_dice: 0.7002, decode.d8.loss_cls: 0.1953, decode.d8.loss_mask: 0.4636, decode.d8.loss_dice: 0.7037, loss: 15.0585, grad_norm: 75.2993 2023-11-22 15:38:05,355 - mmseg - INFO - Iter [112850/160000] lr: 2.807e-06, eta: 7:40:41, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2050, decode.loss_mask: 0.4679, decode.loss_dice: 0.7051, decode.d0.loss_cls: 1.3060, decode.d0.loss_mask: 0.5070, decode.d0.loss_dice: 0.7842, decode.d1.loss_cls: 0.2874, decode.d1.loss_mask: 0.4861, decode.d1.loss_dice: 0.7397, decode.d2.loss_cls: 0.2390, decode.d2.loss_mask: 0.4791, decode.d2.loss_dice: 0.7253, decode.d3.loss_cls: 0.2215, decode.d3.loss_mask: 0.4730, decode.d3.loss_dice: 0.7076, decode.d4.loss_cls: 0.2119, decode.d4.loss_mask: 0.4701, decode.d4.loss_dice: 0.7108, decode.d5.loss_cls: 0.2094, decode.d5.loss_mask: 0.4720, decode.d5.loss_dice: 0.7065, decode.d6.loss_cls: 0.2078, decode.d6.loss_mask: 0.4696, decode.d6.loss_dice: 0.7024, decode.d7.loss_cls: 0.2019, decode.d7.loss_mask: 0.4699, decode.d7.loss_dice: 0.7033, decode.d8.loss_cls: 0.2024, decode.d8.loss_mask: 0.4695, decode.d8.loss_dice: 0.7012, loss: 15.2426, grad_norm: 66.4556 2023-11-22 15:38:33,906 - mmseg - INFO - Iter [112900/160000] lr: 2.804e-06, eta: 7:40:11, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1958, decode.loss_mask: 0.4512, decode.loss_dice: 0.6779, decode.d0.loss_cls: 1.3154, decode.d0.loss_mask: 0.4830, decode.d0.loss_dice: 0.7558, decode.d1.loss_cls: 0.2741, decode.d1.loss_mask: 0.4662, decode.d1.loss_dice: 0.7197, decode.d2.loss_cls: 0.2247, decode.d2.loss_mask: 0.4570, decode.d2.loss_dice: 0.6981, decode.d3.loss_cls: 0.2131, decode.d3.loss_mask: 0.4554, decode.d3.loss_dice: 0.6828, decode.d4.loss_cls: 0.2023, decode.d4.loss_mask: 0.4528, decode.d4.loss_dice: 0.6848, decode.d5.loss_cls: 0.2011, decode.d5.loss_mask: 0.4528, decode.d5.loss_dice: 0.6790, decode.d6.loss_cls: 0.1972, decode.d6.loss_mask: 0.4532, decode.d6.loss_dice: 0.6780, decode.d7.loss_cls: 0.1958, decode.d7.loss_mask: 0.4524, decode.d7.loss_dice: 0.6804, decode.d8.loss_cls: 0.1975, decode.d8.loss_mask: 0.4517, decode.d8.loss_dice: 0.6784, loss: 14.7279, grad_norm: 68.7882 2023-11-22 15:39:02,155 - mmseg - INFO - Iter [112950/160000] lr: 2.801e-06, eta: 7:39:41, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2023, decode.loss_mask: 0.4759, decode.loss_dice: 0.6918, decode.d0.loss_cls: 1.3019, decode.d0.loss_mask: 0.5130, decode.d0.loss_dice: 0.7711, decode.d1.loss_cls: 0.2874, decode.d1.loss_mask: 0.4928, decode.d1.loss_dice: 0.7232, decode.d2.loss_cls: 0.2366, decode.d2.loss_mask: 0.4829, decode.d2.loss_dice: 0.7088, decode.d3.loss_cls: 0.2159, decode.d3.loss_mask: 0.4780, decode.d3.loss_dice: 0.6958, decode.d4.loss_cls: 0.2107, decode.d4.loss_mask: 0.4781, decode.d4.loss_dice: 0.6987, decode.d5.loss_cls: 0.2045, decode.d5.loss_mask: 0.4778, decode.d5.loss_dice: 0.6946, decode.d6.loss_cls: 0.2046, decode.d6.loss_mask: 0.4778, decode.d6.loss_dice: 0.6898, decode.d7.loss_cls: 0.2003, decode.d7.loss_mask: 0.4752, decode.d7.loss_dice: 0.6877, decode.d8.loss_cls: 0.2009, decode.d8.loss_mask: 0.4745, decode.d8.loss_dice: 0.6925, loss: 15.1452, grad_norm: 69.3476 2023-11-22 15:39:30,441 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 15:39:30,441 - mmseg - INFO - Iter [113000/160000] lr: 2.798e-06, eta: 7:39:12, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2149, decode.loss_mask: 0.4733, decode.loss_dice: 0.7063, decode.d0.loss_cls: 1.2981, decode.d0.loss_mask: 0.5138, decode.d0.loss_dice: 0.7874, decode.d1.loss_cls: 0.2914, decode.d1.loss_mask: 0.4937, decode.d1.loss_dice: 0.7487, decode.d2.loss_cls: 0.2469, decode.d2.loss_mask: 0.4840, decode.d2.loss_dice: 0.7238, decode.d3.loss_cls: 0.2308, decode.d3.loss_mask: 0.4789, decode.d3.loss_dice: 0.7144, decode.d4.loss_cls: 0.2313, decode.d4.loss_mask: 0.4760, decode.d4.loss_dice: 0.7102, decode.d5.loss_cls: 0.2264, decode.d5.loss_mask: 0.4778, decode.d5.loss_dice: 0.7124, decode.d6.loss_cls: 0.2205, decode.d6.loss_mask: 0.4723, decode.d6.loss_dice: 0.7041, decode.d7.loss_cls: 0.2206, decode.d7.loss_mask: 0.4733, decode.d7.loss_dice: 0.7031, decode.d8.loss_cls: 0.2189, decode.d8.loss_mask: 0.4729, decode.d8.loss_dice: 0.7051, loss: 15.4312, grad_norm: 71.9047 2023-11-22 15:39:58,837 - mmseg - INFO - Iter [113050/160000] lr: 2.795e-06, eta: 7:38:42, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1952, decode.loss_mask: 0.4480, decode.loss_dice: 0.6878, decode.d0.loss_cls: 1.3009, decode.d0.loss_mask: 0.4823, decode.d0.loss_dice: 0.7648, decode.d1.loss_cls: 0.2695, decode.d1.loss_mask: 0.4610, decode.d1.loss_dice: 0.7174, decode.d2.loss_cls: 0.2206, decode.d2.loss_mask: 0.4535, decode.d2.loss_dice: 0.7030, decode.d3.loss_cls: 0.2056, decode.d3.loss_mask: 0.4527, decode.d3.loss_dice: 0.6932, decode.d4.loss_cls: 0.2019, decode.d4.loss_mask: 0.4511, decode.d4.loss_dice: 0.6905, decode.d5.loss_cls: 0.1982, decode.d5.loss_mask: 0.4500, decode.d5.loss_dice: 0.6909, decode.d6.loss_cls: 0.1978, decode.d6.loss_mask: 0.4495, decode.d6.loss_dice: 0.6863, decode.d7.loss_cls: 0.1956, decode.d7.loss_mask: 0.4486, decode.d7.loss_dice: 0.6879, decode.d8.loss_cls: 0.1939, decode.d8.loss_mask: 0.4487, decode.d8.loss_dice: 0.6880, loss: 14.7346, grad_norm: 67.4411 2023-11-22 15:40:27,034 - mmseg - INFO - Iter [113100/160000] lr: 2.792e-06, eta: 7:38:12, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2012, decode.loss_mask: 0.4632, decode.loss_dice: 0.7016, decode.d0.loss_cls: 1.3029, decode.d0.loss_mask: 0.4962, decode.d0.loss_dice: 0.7742, decode.d1.loss_cls: 0.2912, decode.d1.loss_mask: 0.4790, decode.d1.loss_dice: 0.7368, decode.d2.loss_cls: 0.2452, decode.d2.loss_mask: 0.4702, decode.d2.loss_dice: 0.7225, decode.d3.loss_cls: 0.2234, decode.d3.loss_mask: 0.4656, decode.d3.loss_dice: 0.7078, decode.d4.loss_cls: 0.2162, decode.d4.loss_mask: 0.4668, decode.d4.loss_dice: 0.7092, decode.d5.loss_cls: 0.2185, decode.d5.loss_mask: 0.4636, decode.d5.loss_dice: 0.7036, decode.d6.loss_cls: 0.2150, decode.d6.loss_mask: 0.4631, decode.d6.loss_dice: 0.7012, decode.d7.loss_cls: 0.2124, decode.d7.loss_mask: 0.4637, decode.d7.loss_dice: 0.7025, decode.d8.loss_cls: 0.2092, decode.d8.loss_mask: 0.4638, decode.d8.loss_dice: 0.7021, loss: 15.1921, grad_norm: 68.9703 2023-11-22 15:40:55,750 - mmseg - INFO - Iter [113150/160000] lr: 2.789e-06, eta: 7:37:43, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1946, decode.loss_mask: 0.4583, decode.loss_dice: 0.7001, decode.d0.loss_cls: 1.2944, decode.d0.loss_mask: 0.4898, decode.d0.loss_dice: 0.7791, decode.d1.loss_cls: 0.2782, decode.d1.loss_mask: 0.4763, decode.d1.loss_dice: 0.7385, decode.d2.loss_cls: 0.2376, decode.d2.loss_mask: 0.4673, decode.d2.loss_dice: 0.7169, decode.d3.loss_cls: 0.2137, decode.d3.loss_mask: 0.4598, decode.d3.loss_dice: 0.7093, decode.d4.loss_cls: 0.2089, decode.d4.loss_mask: 0.4610, decode.d4.loss_dice: 0.7057, decode.d5.loss_cls: 0.1985, decode.d5.loss_mask: 0.4607, decode.d5.loss_dice: 0.7065, decode.d6.loss_cls: 0.1985, decode.d6.loss_mask: 0.4596, decode.d6.loss_dice: 0.7055, decode.d7.loss_cls: 0.1976, decode.d7.loss_mask: 0.4607, decode.d7.loss_dice: 0.7032, decode.d8.loss_cls: 0.2013, decode.d8.loss_mask: 0.4605, decode.d8.loss_dice: 0.7025, loss: 15.0446, grad_norm: 69.0524 2023-11-22 15:41:24,265 - mmseg - INFO - Iter [113200/160000] lr: 2.786e-06, eta: 7:37:13, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2123, decode.loss_mask: 0.4718, decode.loss_dice: 0.6851, decode.d0.loss_cls: 1.2858, decode.d0.loss_mask: 0.5137, decode.d0.loss_dice: 0.7676, decode.d1.loss_cls: 0.2917, decode.d1.loss_mask: 0.4931, decode.d1.loss_dice: 0.7246, decode.d2.loss_cls: 0.2452, decode.d2.loss_mask: 0.4848, decode.d2.loss_dice: 0.7069, decode.d3.loss_cls: 0.2317, decode.d3.loss_mask: 0.4774, decode.d3.loss_dice: 0.6948, decode.d4.loss_cls: 0.2197, decode.d4.loss_mask: 0.4789, decode.d4.loss_dice: 0.6965, decode.d5.loss_cls: 0.2200, decode.d5.loss_mask: 0.4763, decode.d5.loss_dice: 0.6912, decode.d6.loss_cls: 0.2217, decode.d6.loss_mask: 0.4724, decode.d6.loss_dice: 0.6894, decode.d7.loss_cls: 0.2137, decode.d7.loss_mask: 0.4726, decode.d7.loss_dice: 0.6887, decode.d8.loss_cls: 0.2123, decode.d8.loss_mask: 0.4718, decode.d8.loss_dice: 0.6856, loss: 15.1975, grad_norm: 71.0776 2023-11-22 15:41:52,508 - mmseg - INFO - Iter [113250/160000] lr: 2.783e-06, eta: 7:36:43, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1884, decode.loss_mask: 0.4551, decode.loss_dice: 0.6908, decode.d0.loss_cls: 1.2872, decode.d0.loss_mask: 0.4866, decode.d0.loss_dice: 0.7687, decode.d1.loss_cls: 0.2667, decode.d1.loss_mask: 0.4727, decode.d1.loss_dice: 0.7233, decode.d2.loss_cls: 0.2135, decode.d2.loss_mask: 0.4624, decode.d2.loss_dice: 0.7035, decode.d3.loss_cls: 0.2040, decode.d3.loss_mask: 0.4614, decode.d3.loss_dice: 0.6968, decode.d4.loss_cls: 0.1987, decode.d4.loss_mask: 0.4590, decode.d4.loss_dice: 0.6951, decode.d5.loss_cls: 0.1911, decode.d5.loss_mask: 0.4583, decode.d5.loss_dice: 0.6939, decode.d6.loss_cls: 0.1921, decode.d6.loss_mask: 0.4554, decode.d6.loss_dice: 0.6946, decode.d7.loss_cls: 0.1907, decode.d7.loss_mask: 0.4539, decode.d7.loss_dice: 0.6932, decode.d8.loss_cls: 0.1901, decode.d8.loss_mask: 0.4545, decode.d8.loss_dice: 0.6942, loss: 14.7961, grad_norm: 64.0630 2023-11-22 15:42:20,744 - mmseg - INFO - Iter [113300/160000] lr: 2.780e-06, eta: 7:36:14, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1980, decode.loss_mask: 0.4651, decode.loss_dice: 0.7041, decode.d0.loss_cls: 1.2960, decode.d0.loss_mask: 0.5023, decode.d0.loss_dice: 0.7830, decode.d1.loss_cls: 0.2686, decode.d1.loss_mask: 0.4824, decode.d1.loss_dice: 0.7479, decode.d2.loss_cls: 0.2225, decode.d2.loss_mask: 0.4769, decode.d2.loss_dice: 0.7244, decode.d3.loss_cls: 0.2191, decode.d3.loss_mask: 0.4714, decode.d3.loss_dice: 0.7109, decode.d4.loss_cls: 0.2070, decode.d4.loss_mask: 0.4695, decode.d4.loss_dice: 0.7100, decode.d5.loss_cls: 0.2043, decode.d5.loss_mask: 0.4686, decode.d5.loss_dice: 0.7106, decode.d6.loss_cls: 0.2014, decode.d6.loss_mask: 0.4691, decode.d6.loss_dice: 0.7062, decode.d7.loss_cls: 0.2000, decode.d7.loss_mask: 0.4670, decode.d7.loss_dice: 0.7053, decode.d8.loss_cls: 0.1958, decode.d8.loss_mask: 0.4675, decode.d8.loss_dice: 0.7069, loss: 15.1618, grad_norm: 69.9321 2023-11-22 15:42:49,184 - mmseg - INFO - Iter [113350/160000] lr: 2.777e-06, eta: 7:35:44, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1975, decode.loss_mask: 0.4461, decode.loss_dice: 0.6716, decode.d0.loss_cls: 1.3018, decode.d0.loss_mask: 0.4749, decode.d0.loss_dice: 0.7452, decode.d1.loss_cls: 0.2733, decode.d1.loss_mask: 0.4626, decode.d1.loss_dice: 0.7082, decode.d2.loss_cls: 0.2283, decode.d2.loss_mask: 0.4539, decode.d2.loss_dice: 0.6920, decode.d3.loss_cls: 0.2146, decode.d3.loss_mask: 0.4519, decode.d3.loss_dice: 0.6739, decode.d4.loss_cls: 0.2075, decode.d4.loss_mask: 0.4472, decode.d4.loss_dice: 0.6800, decode.d5.loss_cls: 0.2010, decode.d5.loss_mask: 0.4462, decode.d5.loss_dice: 0.6762, decode.d6.loss_cls: 0.1980, decode.d6.loss_mask: 0.4455, decode.d6.loss_dice: 0.6724, decode.d7.loss_cls: 0.1970, decode.d7.loss_mask: 0.4446, decode.d7.loss_dice: 0.6728, decode.d8.loss_cls: 0.1957, decode.d8.loss_mask: 0.4452, decode.d8.loss_dice: 0.6728, loss: 14.5981, grad_norm: 65.0924 2023-11-22 15:43:17,303 - mmseg - INFO - Iter [113400/160000] lr: 2.774e-06, eta: 7:35:14, time: 0.562, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2182, decode.loss_mask: 0.4750, decode.loss_dice: 0.7093, decode.d0.loss_cls: 1.3302, decode.d0.loss_mask: 0.5164, decode.d0.loss_dice: 0.7912, decode.d1.loss_cls: 0.3009, decode.d1.loss_mask: 0.4928, decode.d1.loss_dice: 0.7554, decode.d2.loss_cls: 0.2562, decode.d2.loss_mask: 0.4850, decode.d2.loss_dice: 0.7325, decode.d3.loss_cls: 0.2335, decode.d3.loss_mask: 0.4812, decode.d3.loss_dice: 0.7138, decode.d4.loss_cls: 0.2254, decode.d4.loss_mask: 0.4798, decode.d4.loss_dice: 0.7131, decode.d5.loss_cls: 0.2211, decode.d5.loss_mask: 0.4785, decode.d5.loss_dice: 0.7110, decode.d6.loss_cls: 0.2260, decode.d6.loss_mask: 0.4758, decode.d6.loss_dice: 0.7038, decode.d7.loss_cls: 0.2202, decode.d7.loss_mask: 0.4761, decode.d7.loss_dice: 0.7041, decode.d8.loss_cls: 0.2209, decode.d8.loss_mask: 0.4762, decode.d8.loss_dice: 0.7083, loss: 15.5316, grad_norm: 68.7212 2023-11-22 15:43:46,005 - mmseg - INFO - Iter [113450/160000] lr: 2.771e-06, eta: 7:34:45, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1964, decode.loss_mask: 0.4678, decode.loss_dice: 0.7063, decode.d0.loss_cls: 1.3041, decode.d0.loss_mask: 0.5001, decode.d0.loss_dice: 0.7748, decode.d1.loss_cls: 0.2724, decode.d1.loss_mask: 0.4880, decode.d1.loss_dice: 0.7381, decode.d2.loss_cls: 0.2302, decode.d2.loss_mask: 0.4787, decode.d2.loss_dice: 0.7213, decode.d3.loss_cls: 0.2203, decode.d3.loss_mask: 0.4737, decode.d3.loss_dice: 0.7080, decode.d4.loss_cls: 0.2119, decode.d4.loss_mask: 0.4734, decode.d4.loss_dice: 0.7089, decode.d5.loss_cls: 0.2052, decode.d5.loss_mask: 0.4743, decode.d5.loss_dice: 0.7078, decode.d6.loss_cls: 0.2045, decode.d6.loss_mask: 0.4695, decode.d6.loss_dice: 0.7001, decode.d7.loss_cls: 0.2029, decode.d7.loss_mask: 0.4686, decode.d7.loss_dice: 0.7009, decode.d8.loss_cls: 0.1983, decode.d8.loss_mask: 0.4682, decode.d8.loss_dice: 0.7024, loss: 15.1769, grad_norm: 71.3892 2023-11-22 15:44:14,540 - mmseg - INFO - Iter [113500/160000] lr: 2.768e-06, eta: 7:34:15, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2001, decode.loss_mask: 0.4616, decode.loss_dice: 0.6837, decode.d0.loss_cls: 1.2866, decode.d0.loss_mask: 0.4945, decode.d0.loss_dice: 0.7523, decode.d1.loss_cls: 0.2725, decode.d1.loss_mask: 0.4766, decode.d1.loss_dice: 0.7230, decode.d2.loss_cls: 0.2284, decode.d2.loss_mask: 0.4685, decode.d2.loss_dice: 0.7069, decode.d3.loss_cls: 0.2060, decode.d3.loss_mask: 0.4669, decode.d3.loss_dice: 0.6913, decode.d4.loss_cls: 0.2051, decode.d4.loss_mask: 0.4652, decode.d4.loss_dice: 0.6920, decode.d5.loss_cls: 0.2030, decode.d5.loss_mask: 0.4651, decode.d5.loss_dice: 0.6875, decode.d6.loss_cls: 0.2027, decode.d6.loss_mask: 0.4632, decode.d6.loss_dice: 0.6806, decode.d7.loss_cls: 0.2018, decode.d7.loss_mask: 0.4654, decode.d7.loss_dice: 0.6795, decode.d8.loss_cls: 0.2002, decode.d8.loss_mask: 0.4635, decode.d8.loss_dice: 0.6826, loss: 14.8765, grad_norm: 70.7176 2023-11-22 15:44:42,687 - mmseg - INFO - Iter [113550/160000] lr: 2.765e-06, eta: 7:33:45, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2114, decode.loss_mask: 0.4711, decode.loss_dice: 0.7136, decode.d0.loss_cls: 1.3165, decode.d0.loss_mask: 0.5004, decode.d0.loss_dice: 0.7849, decode.d1.loss_cls: 0.2947, decode.d1.loss_mask: 0.4857, decode.d1.loss_dice: 0.7469, decode.d2.loss_cls: 0.2476, decode.d2.loss_mask: 0.4775, decode.d2.loss_dice: 0.7333, decode.d3.loss_cls: 0.2344, decode.d3.loss_mask: 0.4735, decode.d3.loss_dice: 0.7213, decode.d4.loss_cls: 0.2242, decode.d4.loss_mask: 0.4745, decode.d4.loss_dice: 0.7232, decode.d5.loss_cls: 0.2148, decode.d5.loss_mask: 0.4732, decode.d5.loss_dice: 0.7226, decode.d6.loss_cls: 0.2169, decode.d6.loss_mask: 0.4703, decode.d6.loss_dice: 0.7102, decode.d7.loss_cls: 0.2167, decode.d7.loss_mask: 0.4700, decode.d7.loss_dice: 0.7206, decode.d8.loss_cls: 0.2164, decode.d8.loss_mask: 0.4696, decode.d8.loss_dice: 0.7170, loss: 15.4528, grad_norm: 66.6548 2023-11-22 15:45:10,934 - mmseg - INFO - Iter [113600/160000] lr: 2.762e-06, eta: 7:33:15, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2080, decode.loss_mask: 0.4542, decode.loss_dice: 0.6840, decode.d0.loss_cls: 1.3325, decode.d0.loss_mask: 0.4913, decode.d0.loss_dice: 0.7651, decode.d1.loss_cls: 0.2847, decode.d1.loss_mask: 0.4724, decode.d1.loss_dice: 0.7153, decode.d2.loss_cls: 0.2377, decode.d2.loss_mask: 0.4643, decode.d2.loss_dice: 0.7019, decode.d3.loss_cls: 0.2251, decode.d3.loss_mask: 0.4571, decode.d3.loss_dice: 0.6883, decode.d4.loss_cls: 0.2118, decode.d4.loss_mask: 0.4564, decode.d4.loss_dice: 0.6876, decode.d5.loss_cls: 0.2132, decode.d5.loss_mask: 0.4555, decode.d5.loss_dice: 0.6879, decode.d6.loss_cls: 0.2097, decode.d6.loss_mask: 0.4552, decode.d6.loss_dice: 0.6850, decode.d7.loss_cls: 0.2076, decode.d7.loss_mask: 0.4564, decode.d7.loss_dice: 0.6847, decode.d8.loss_cls: 0.2047, decode.d8.loss_mask: 0.4562, decode.d8.loss_dice: 0.6834, loss: 14.9371, grad_norm: 64.5239 2023-11-22 15:45:39,214 - mmseg - INFO - Iter [113650/160000] lr: 2.759e-06, eta: 7:32:46, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1925, decode.loss_mask: 0.4497, decode.loss_dice: 0.6877, decode.d0.loss_cls: 1.2903, decode.d0.loss_mask: 0.4866, decode.d0.loss_dice: 0.7676, decode.d1.loss_cls: 0.2659, decode.d1.loss_mask: 0.4690, decode.d1.loss_dice: 0.7275, decode.d2.loss_cls: 0.2179, decode.d2.loss_mask: 0.4593, decode.d2.loss_dice: 0.7108, decode.d3.loss_cls: 0.2050, decode.d3.loss_mask: 0.4566, decode.d3.loss_dice: 0.7009, decode.d4.loss_cls: 0.2026, decode.d4.loss_mask: 0.4534, decode.d4.loss_dice: 0.6973, decode.d5.loss_cls: 0.1972, decode.d5.loss_mask: 0.4535, decode.d5.loss_dice: 0.6973, decode.d6.loss_cls: 0.1933, decode.d6.loss_mask: 0.4493, decode.d6.loss_dice: 0.6926, decode.d7.loss_cls: 0.1908, decode.d7.loss_mask: 0.4492, decode.d7.loss_dice: 0.6904, decode.d8.loss_cls: 0.1905, decode.d8.loss_mask: 0.4508, decode.d8.loss_dice: 0.6918, loss: 14.7873, grad_norm: 64.8683 2023-11-22 15:46:09,790 - mmseg - INFO - Iter [113700/160000] lr: 2.756e-06, eta: 7:32:17, time: 0.611, data_time: 0.059, memory: 38143, decode.loss_cls: 0.1932, decode.loss_mask: 0.4608, decode.loss_dice: 0.6934, decode.d0.loss_cls: 1.2789, decode.d0.loss_mask: 0.4956, decode.d0.loss_dice: 0.7716, decode.d1.loss_cls: 0.2679, decode.d1.loss_mask: 0.4812, decode.d1.loss_dice: 0.7345, decode.d2.loss_cls: 0.2315, decode.d2.loss_mask: 0.4695, decode.d2.loss_dice: 0.7131, decode.d3.loss_cls: 0.2145, decode.d3.loss_mask: 0.4661, decode.d3.loss_dice: 0.7030, decode.d4.loss_cls: 0.2047, decode.d4.loss_mask: 0.4637, decode.d4.loss_dice: 0.6985, decode.d5.loss_cls: 0.1983, decode.d5.loss_mask: 0.4633, decode.d5.loss_dice: 0.7009, decode.d6.loss_cls: 0.1953, decode.d6.loss_mask: 0.4629, decode.d6.loss_dice: 0.7028, decode.d7.loss_cls: 0.1943, decode.d7.loss_mask: 0.4621, decode.d7.loss_dice: 0.6952, decode.d8.loss_cls: 0.1913, decode.d8.loss_mask: 0.4616, decode.d8.loss_dice: 0.6970, loss: 14.9667, grad_norm: 69.5331 2023-11-22 15:46:38,469 - mmseg - INFO - Iter [113750/160000] lr: 2.753e-06, eta: 7:31:47, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2011, decode.loss_mask: 0.4541, decode.loss_dice: 0.6875, decode.d0.loss_cls: 1.2862, decode.d0.loss_mask: 0.4892, decode.d0.loss_dice: 0.7654, decode.d1.loss_cls: 0.2761, decode.d1.loss_mask: 0.4705, decode.d1.loss_dice: 0.7223, decode.d2.loss_cls: 0.2299, decode.d2.loss_mask: 0.4622, decode.d2.loss_dice: 0.7041, decode.d3.loss_cls: 0.2138, decode.d3.loss_mask: 0.4575, decode.d3.loss_dice: 0.6957, decode.d4.loss_cls: 0.2067, decode.d4.loss_mask: 0.4571, decode.d4.loss_dice: 0.6932, decode.d5.loss_cls: 0.2073, decode.d5.loss_mask: 0.4556, decode.d5.loss_dice: 0.6892, decode.d6.loss_cls: 0.2057, decode.d6.loss_mask: 0.4550, decode.d6.loss_dice: 0.6886, decode.d7.loss_cls: 0.2014, decode.d7.loss_mask: 0.4559, decode.d7.loss_dice: 0.6902, decode.d8.loss_cls: 0.2010, decode.d8.loss_mask: 0.4548, decode.d8.loss_dice: 0.6906, loss: 14.8676, grad_norm: 66.8686 2023-11-22 15:47:06,863 - mmseg - INFO - Iter [113800/160000] lr: 2.750e-06, eta: 7:31:18, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1951, decode.loss_mask: 0.4444, decode.loss_dice: 0.6782, decode.d0.loss_cls: 1.3012, decode.d0.loss_mask: 0.4798, decode.d0.loss_dice: 0.7461, decode.d1.loss_cls: 0.2795, decode.d1.loss_mask: 0.4626, decode.d1.loss_dice: 0.7174, decode.d2.loss_cls: 0.2278, decode.d2.loss_mask: 0.4526, decode.d2.loss_dice: 0.6971, decode.d3.loss_cls: 0.2133, decode.d3.loss_mask: 0.4475, decode.d3.loss_dice: 0.6823, decode.d4.loss_cls: 0.2033, decode.d4.loss_mask: 0.4470, decode.d4.loss_dice: 0.6821, decode.d5.loss_cls: 0.1995, decode.d5.loss_mask: 0.4474, decode.d5.loss_dice: 0.6818, decode.d6.loss_cls: 0.1971, decode.d6.loss_mask: 0.4462, decode.d6.loss_dice: 0.6809, decode.d7.loss_cls: 0.1945, decode.d7.loss_mask: 0.4446, decode.d7.loss_dice: 0.6790, decode.d8.loss_cls: 0.1924, decode.d8.loss_mask: 0.4442, decode.d8.loss_dice: 0.6810, loss: 14.6460, grad_norm: 63.8979 2023-11-22 15:47:35,173 - mmseg - INFO - Iter [113850/160000] lr: 2.747e-06, eta: 7:30:48, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2009, decode.loss_mask: 0.4736, decode.loss_dice: 0.6889, decode.d0.loss_cls: 1.2852, decode.d0.loss_mask: 0.5104, decode.d0.loss_dice: 0.7723, decode.d1.loss_cls: 0.2724, decode.d1.loss_mask: 0.4897, decode.d1.loss_dice: 0.7263, decode.d2.loss_cls: 0.2260, decode.d2.loss_mask: 0.4788, decode.d2.loss_dice: 0.7081, decode.d3.loss_cls: 0.2110, decode.d3.loss_mask: 0.4767, decode.d3.loss_dice: 0.6921, decode.d4.loss_cls: 0.2070, decode.d4.loss_mask: 0.4755, decode.d4.loss_dice: 0.6923, decode.d5.loss_cls: 0.2022, decode.d5.loss_mask: 0.4761, decode.d5.loss_dice: 0.6932, decode.d6.loss_cls: 0.2043, decode.d6.loss_mask: 0.4730, decode.d6.loss_dice: 0.6896, decode.d7.loss_cls: 0.2037, decode.d7.loss_mask: 0.4738, decode.d7.loss_dice: 0.6895, decode.d8.loss_cls: 0.1978, decode.d8.loss_mask: 0.4735, decode.d8.loss_dice: 0.6922, loss: 15.0559, grad_norm: 67.8942 2023-11-22 15:48:03,405 - mmseg - INFO - Iter [113900/160000] lr: 2.744e-06, eta: 7:30:18, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2035, decode.loss_mask: 0.4653, decode.loss_dice: 0.7000, decode.d0.loss_cls: 1.3164, decode.d0.loss_mask: 0.5002, decode.d0.loss_dice: 0.7734, decode.d1.loss_cls: 0.2901, decode.d1.loss_mask: 0.4786, decode.d1.loss_dice: 0.7249, decode.d2.loss_cls: 0.2395, decode.d2.loss_mask: 0.4713, decode.d2.loss_dice: 0.7111, decode.d3.loss_cls: 0.2221, decode.d3.loss_mask: 0.4665, decode.d3.loss_dice: 0.7016, decode.d4.loss_cls: 0.2189, decode.d4.loss_mask: 0.4654, decode.d4.loss_dice: 0.7026, decode.d5.loss_cls: 0.2139, decode.d5.loss_mask: 0.4658, decode.d5.loss_dice: 0.6972, decode.d6.loss_cls: 0.2149, decode.d6.loss_mask: 0.4657, decode.d6.loss_dice: 0.6971, decode.d7.loss_cls: 0.2092, decode.d7.loss_mask: 0.4638, decode.d7.loss_dice: 0.6982, decode.d8.loss_cls: 0.2071, decode.d8.loss_mask: 0.4653, decode.d8.loss_dice: 0.6978, loss: 15.1471, grad_norm: 69.2680 2023-11-22 15:48:31,793 - mmseg - INFO - Iter [113950/160000] lr: 2.741e-06, eta: 7:29:48, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2216, decode.loss_mask: 0.4624, decode.loss_dice: 0.6915, decode.d0.loss_cls: 1.3142, decode.d0.loss_mask: 0.4981, decode.d0.loss_dice: 0.7797, decode.d1.loss_cls: 0.3022, decode.d1.loss_mask: 0.4819, decode.d1.loss_dice: 0.7374, decode.d2.loss_cls: 0.2630, decode.d2.loss_mask: 0.4731, decode.d2.loss_dice: 0.7144, decode.d3.loss_cls: 0.2443, decode.d3.loss_mask: 0.4668, decode.d3.loss_dice: 0.7035, decode.d4.loss_cls: 0.2371, decode.d4.loss_mask: 0.4675, decode.d4.loss_dice: 0.7038, decode.d5.loss_cls: 0.2370, decode.d5.loss_mask: 0.4642, decode.d5.loss_dice: 0.6968, decode.d6.loss_cls: 0.2307, decode.d6.loss_mask: 0.4617, decode.d6.loss_dice: 0.6963, decode.d7.loss_cls: 0.2265, decode.d7.loss_mask: 0.4613, decode.d7.loss_dice: 0.6947, decode.d8.loss_cls: 0.2243, decode.d8.loss_mask: 0.4611, decode.d8.loss_dice: 0.6947, loss: 15.3121, grad_norm: 66.1478 2023-11-22 15:49:00,189 - mmseg - INFO - Saving checkpoint at 114000 iterations 2023-11-22 15:49:07,794 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 15:49:07,794 - mmseg - INFO - Iter [114000/160000] lr: 2.738e-06, eta: 7:29:22, time: 0.720, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1974, decode.loss_mask: 0.4464, decode.loss_dice: 0.6751, decode.d0.loss_cls: 1.3126, decode.d0.loss_mask: 0.4722, decode.d0.loss_dice: 0.7490, decode.d1.loss_cls: 0.2719, decode.d1.loss_mask: 0.4620, decode.d1.loss_dice: 0.7157, decode.d2.loss_cls: 0.2275, decode.d2.loss_mask: 0.4538, decode.d2.loss_dice: 0.6948, decode.d3.loss_cls: 0.2140, decode.d3.loss_mask: 0.4485, decode.d3.loss_dice: 0.6802, decode.d4.loss_cls: 0.2092, decode.d4.loss_mask: 0.4495, decode.d4.loss_dice: 0.6772, decode.d5.loss_cls: 0.2043, decode.d5.loss_mask: 0.4486, decode.d5.loss_dice: 0.6793, decode.d6.loss_cls: 0.2021, decode.d6.loss_mask: 0.4454, decode.d6.loss_dice: 0.6736, decode.d7.loss_cls: 0.1994, decode.d7.loss_mask: 0.4479, decode.d7.loss_dice: 0.6756, decode.d8.loss_cls: 0.1977, decode.d8.loss_mask: 0.4473, decode.d8.loss_dice: 0.6788, loss: 14.6572, grad_norm: 71.4203 2023-11-22 15:49:27,190 - mmseg - INFO - per class results: 2023-11-22 15:49:27,195 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.71 | 88.33 | | building | 84.22 | 90.73 | | sky | 95.05 | 97.37 | | floor | 84.33 | 91.55 | | tree | 76.59 | 89.4 | | ceiling | 86.16 | 92.4 | | road | 87.42 | 91.65 | | bed | 92.0 | 95.61 | | windowpane | 64.05 | 82.31 | | grass | 69.13 | 83.0 | | cabinet | 63.14 | 76.08 | | sidewalk | 71.2 | 84.39 | | person | 86.21 | 93.4 | | earth | 38.19 | 53.23 | | door | 55.04 | 71.9 | | table | 70.66 | 83.8 | | mountain | 59.29 | 79.09 | | plant | 54.98 | 65.79 | | curtain | 75.04 | 88.17 | | chair | 63.56 | 74.33 | | car | 88.08 | 93.72 | | water | 65.73 | 79.35 | | painting | 76.68 | 90.55 | | sofa | 77.19 | 87.95 | | shelf | 42.08 | 59.18 | | house | 48.14 | 77.22 | | sea | 72.51 | 90.57 | | mirror | 74.78 | 82.88 | | rug | 67.02 | 80.77 | | field | 37.47 | 61.06 | | armchair | 53.0 | 75.56 | | seat | 62.37 | 86.65 | | fence | 55.0 | 66.25 | | desk | 53.46 | 78.07 | | rock | 53.24 | 70.41 | | wardrobe | 49.96 | 70.41 | | lamp | 72.63 | 81.81 | | bathtub | 79.79 | 86.48 | | railing | 38.63 | 57.42 | | cushion | 68.45 | 78.74 | | base | 36.5 | 57.33 | | box | 32.37 | 41.69 | | column | 50.99 | 72.41 | | signboard | 40.02 | 58.33 | | chest of drawers | 36.69 | 54.22 | | counter | 41.76 | 52.39 | | sand | 41.76 | 59.91 | | sink | 81.87 | 86.72 | | skyscraper | 63.2 | 79.42 | | fireplace | 75.47 | 90.31 | | refrigerator | 78.02 | 84.03 | | grandstand | 58.34 | 74.22 | | path | 22.84 | 38.34 | | stairs | 31.69 | 40.45 | | runway | 71.59 | 90.83 | | case | 53.46 | 74.14 | | pool table | 94.29 | 97.64 | | pillow | 66.34 | 80.63 | | screen door | 75.98 | 82.39 | | stairway | 28.8 | 48.52 | | river | 18.19 | 26.58 | | bridge | 81.27 | 88.99 | | bookcase | 24.94 | 43.83 | | blind | 42.58 | 48.8 | | coffee table | 73.97 | 86.32 | | toilet | 91.21 | 93.66 | | flower | 50.67 | 72.23 | | book | 52.58 | 75.22 | | hill | 10.1 | 11.94 | | bench | 64.86 | 76.82 | | countertop | 63.55 | 76.48 | | stove | 88.58 | 92.23 | | palm | 54.46 | 81.5 | | kitchen island | 53.94 | 79.57 | | computer | 74.11 | 83.16 | | swivel chair | 49.43 | 85.53 | | boat | 58.77 | 86.26 | | bar | 67.61 | 74.83 | | arcade machine | 76.05 | 80.77 | | hovel | 44.72 | 49.25 | | bus | 89.2 | 97.0 | | towel | 76.95 | 88.74 | | light | 65.77 | 81.67 | | truck | 41.64 | 52.48 | | tower | 45.22 | 78.31 | | chandelier | 70.19 | 88.85 | | awning | 39.8 | 52.87 | | streetlight | 49.63 | 62.42 | | booth | 51.83 | 68.48 | | television receiver | 81.24 | 89.12 | | airplane | 65.29 | 79.94 | | dirt track | 12.36 | 33.61 | | apparel | 53.29 | 67.84 | | pole | 41.51 | 65.82 | | land | 4.16 | 6.29 | | bannister | 21.02 | 33.63 | | escalator | 25.82 | 26.76 | | ottoman | 54.23 | 74.42 | | bottle | 40.5 | 67.33 | | buffet | 52.33 | 66.16 | | poster | 25.91 | 43.83 | | stage | 29.74 | 47.47 | | van | 46.43 | 74.6 | | ship | 4.75 | 6.86 | | fountain | 21.53 | 21.85 | | conveyer belt | 69.02 | 91.16 | | canopy | 33.96 | 51.8 | | washer | 71.45 | 73.65 | | plaything | 49.82 | 74.59 | | swimming pool | 66.23 | 71.19 | | stool | 52.19 | 72.96 | | barrel | 89.55 | 98.51 | | basket | 42.19 | 57.2 | | waterfall | 79.49 | 91.36 | | tent | 95.32 | 98.05 | | bag | 26.79 | 38.22 | | minibike | 72.62 | 90.12 | | cradle | 90.67 | 97.3 | | oven | 28.93 | 81.47 | | ball | 57.97 | 67.23 | | food | 62.97 | 74.94 | | step | 21.97 | 29.36 | | tank | 62.98 | 65.88 | | trade name | 25.36 | 29.78 | | microwave | 43.55 | 46.33 | | pot | 59.77 | 72.78 | | animal | 60.91 | 62.38 | | bicycle | 59.4 | 81.75 | | lake | 58.71 | 63.57 | | dishwasher | 75.23 | 81.18 | | screen | 57.85 | 94.28 | | blanket | 41.46 | 50.95 | | sculpture | 65.71 | 89.3 | | hood | 66.07 | 78.07 | | sconce | 60.6 | 76.87 | | vase | 55.67 | 75.35 | | traffic light | 47.76 | 73.82 | | tray | 18.51 | 29.77 | | ashcan | 54.18 | 74.05 | | fan | 69.45 | 86.39 | | pier | 31.73 | 39.97 | | crt screen | 3.1 | 9.33 | | plate | 64.96 | 83.61 | | monitor | 10.19 | 14.06 | | bulletin board | 61.96 | 78.43 | | shower | 11.97 | 21.91 | | radiator | 66.41 | 81.06 | | glass | 25.51 | 29.12 | | clock | 56.06 | 68.71 | | flag | 50.9 | 57.75 | +---------------------+-------+-------+ 2023-11-22 15:49:27,195 - mmseg - INFO - Summary: 2023-11-22 15:49:27,195 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.25 | 56.03 | 69.72 | +-------+-------+-------+ 2023-11-22 15:49:27,373 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_l_640_160k_ade20k_ss/best_mIoU_iter_112000.pth was removed 2023-11-22 15:49:34,278 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_114000.pth. 2023-11-22 15:49:34,278 - mmseg - INFO - Best mIoU is 0.5603 at 114000 iter. 2023-11-22 15:49:34,278 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 15:49:34,279 - mmseg - INFO - Iter(val) [250] aAcc: 0.8525, mIoU: 0.5603, mAcc: 0.6972, IoU.wall: 0.8071, IoU.building: 0.8422, IoU.sky: 0.9505, IoU.floor: 0.8433, IoU.tree: 0.7659, IoU.ceiling: 0.8616, IoU.road: 0.8742, IoU.bed : 0.9200, IoU.windowpane: 0.6405, IoU.grass: 0.6913, IoU.cabinet: 0.6314, IoU.sidewalk: 0.7120, IoU.person: 0.8621, IoU.earth: 0.3819, IoU.door: 0.5504, IoU.table: 0.7066, IoU.mountain: 0.5929, IoU.plant: 0.5498, IoU.curtain: 0.7504, IoU.chair: 0.6356, IoU.car: 0.8808, IoU.water: 0.6573, IoU.painting: 0.7668, IoU.sofa: 0.7719, IoU.shelf: 0.4208, IoU.house: 0.4814, IoU.sea: 0.7251, IoU.mirror: 0.7478, IoU.rug: 0.6702, IoU.field: 0.3747, IoU.armchair: 0.5300, IoU.seat: 0.6237, IoU.fence: 0.5500, IoU.desk: 0.5346, IoU.rock: 0.5324, IoU.wardrobe: 0.4996, IoU.lamp: 0.7263, IoU.bathtub: 0.7979, IoU.railing: 0.3863, IoU.cushion: 0.6845, IoU.base: 0.3650, IoU.box: 0.3237, IoU.column: 0.5099, IoU.signboard: 0.4002, IoU.chest of drawers: 0.3669, IoU.counter: 0.4176, IoU.sand: 0.4176, IoU.sink: 0.8187, IoU.skyscraper: 0.6320, IoU.fireplace: 0.7547, IoU.refrigerator: 0.7802, IoU.grandstand: 0.5834, IoU.path: 0.2284, IoU.stairs: 0.3169, IoU.runway: 0.7159, IoU.case: 0.5346, IoU.pool table: 0.9429, IoU.pillow: 0.6634, IoU.screen door: 0.7598, IoU.stairway: 0.2880, IoU.river: 0.1819, IoU.bridge: 0.8127, IoU.bookcase: 0.2494, IoU.blind: 0.4258, IoU.coffee table: 0.7397, IoU.toilet: 0.9121, IoU.flower: 0.5067, IoU.book: 0.5258, IoU.hill: 0.1010, IoU.bench: 0.6486, IoU.countertop: 0.6355, IoU.stove: 0.8858, IoU.palm: 0.5446, IoU.kitchen island: 0.5394, IoU.computer: 0.7411, IoU.swivel chair: 0.4943, IoU.boat: 0.5877, IoU.bar: 0.6761, IoU.arcade machine: 0.7605, IoU.hovel: 0.4472, IoU.bus: 0.8920, IoU.towel: 0.7695, IoU.light: 0.6577, IoU.truck: 0.4164, IoU.tower: 0.4522, IoU.chandelier: 0.7019, IoU.awning: 0.3980, IoU.streetlight: 0.4963, IoU.booth: 0.5183, IoU.television receiver: 0.8124, IoU.airplane: 0.6529, IoU.dirt track: 0.1236, IoU.apparel: 0.5329, IoU.pole: 0.4151, IoU.land: 0.0416, IoU.bannister: 0.2102, IoU.escalator: 0.2582, IoU.ottoman: 0.5423, IoU.bottle: 0.4050, IoU.buffet: 0.5233, IoU.poster: 0.2591, IoU.stage: 0.2974, IoU.van: 0.4643, IoU.ship: 0.0475, IoU.fountain: 0.2153, IoU.conveyer belt: 0.6902, IoU.canopy: 0.3396, IoU.washer: 0.7145, IoU.plaything: 0.4982, IoU.swimming pool: 0.6623, IoU.stool: 0.5219, IoU.barrel: 0.8955, IoU.basket: 0.4219, IoU.waterfall: 0.7949, IoU.tent: 0.9532, IoU.bag: 0.2679, IoU.minibike: 0.7262, IoU.cradle: 0.9067, IoU.oven: 0.2893, IoU.ball: 0.5797, IoU.food: 0.6297, IoU.step: 0.2197, IoU.tank: 0.6298, IoU.trade name: 0.2536, IoU.microwave: 0.4355, IoU.pot: 0.5977, IoU.animal: 0.6091, IoU.bicycle: 0.5940, IoU.lake: 0.5871, IoU.dishwasher: 0.7523, IoU.screen: 0.5785, IoU.blanket: 0.4146, IoU.sculpture: 0.6571, IoU.hood: 0.6607, IoU.sconce: 0.6060, IoU.vase: 0.5567, IoU.traffic light: 0.4776, IoU.tray: 0.1851, IoU.ashcan: 0.5418, IoU.fan: 0.6945, IoU.pier: 0.3173, IoU.crt screen: 0.0310, IoU.plate: 0.6496, IoU.monitor: 0.1019, IoU.bulletin board: 0.6196, IoU.shower: 0.1197, IoU.radiator: 0.6641, IoU.glass: 0.2551, IoU.clock: 0.5606, IoU.flag: 0.5090, Acc.wall: 0.8833, Acc.building: 0.9073, Acc.sky: 0.9737, Acc.floor: 0.9155, Acc.tree: 0.8940, Acc.ceiling: 0.9240, Acc.road: 0.9165, Acc.bed : 0.9561, Acc.windowpane: 0.8231, Acc.grass: 0.8300, Acc.cabinet: 0.7608, Acc.sidewalk: 0.8439, Acc.person: 0.9340, Acc.earth: 0.5323, Acc.door: 0.7190, Acc.table: 0.8380, Acc.mountain: 0.7909, Acc.plant: 0.6579, Acc.curtain: 0.8817, Acc.chair: 0.7433, Acc.car: 0.9372, Acc.water: 0.7935, Acc.painting: 0.9055, Acc.sofa: 0.8795, Acc.shelf: 0.5918, Acc.house: 0.7722, Acc.sea: 0.9057, Acc.mirror: 0.8288, Acc.rug: 0.8077, Acc.field: 0.6106, Acc.armchair: 0.7556, Acc.seat: 0.8665, Acc.fence: 0.6625, Acc.desk: 0.7807, Acc.rock: 0.7041, Acc.wardrobe: 0.7041, Acc.lamp: 0.8181, Acc.bathtub: 0.8648, Acc.railing: 0.5742, Acc.cushion: 0.7874, Acc.base: 0.5733, Acc.box: 0.4169, Acc.column: 0.7241, Acc.signboard: 0.5833, Acc.chest of drawers: 0.5422, Acc.counter: 0.5239, Acc.sand: 0.5991, Acc.sink: 0.8672, Acc.skyscraper: 0.7942, Acc.fireplace: 0.9031, Acc.refrigerator: 0.8403, Acc.grandstand: 0.7422, Acc.path: 0.3834, Acc.stairs: 0.4045, Acc.runway: 0.9083, Acc.case: 0.7414, Acc.pool table: 0.9764, Acc.pillow: 0.8063, Acc.screen door: 0.8239, Acc.stairway: 0.4852, Acc.river: 0.2658, Acc.bridge: 0.8899, Acc.bookcase: 0.4383, Acc.blind: 0.4880, Acc.coffee table: 0.8632, Acc.toilet: 0.9366, Acc.flower: 0.7223, Acc.book: 0.7522, Acc.hill: 0.1194, Acc.bench: 0.7682, Acc.countertop: 0.7648, Acc.stove: 0.9223, Acc.palm: 0.8150, Acc.kitchen island: 0.7957, Acc.computer: 0.8316, Acc.swivel chair: 0.8553, Acc.boat: 0.8626, Acc.bar: 0.7483, Acc.arcade machine: 0.8077, Acc.hovel: 0.4925, Acc.bus: 0.9700, Acc.towel: 0.8874, Acc.light: 0.8167, Acc.truck: 0.5248, Acc.tower: 0.7831, Acc.chandelier: 0.8885, Acc.awning: 0.5287, Acc.streetlight: 0.6242, Acc.booth: 0.6848, Acc.television receiver: 0.8912, Acc.airplane: 0.7994, Acc.dirt track: 0.3361, Acc.apparel: 0.6784, Acc.pole: 0.6582, Acc.land: 0.0629, Acc.bannister: 0.3363, Acc.escalator: 0.2676, Acc.ottoman: 0.7442, Acc.bottle: 0.6733, Acc.buffet: 0.6616, Acc.poster: 0.4383, Acc.stage: 0.4747, Acc.van: 0.7460, Acc.ship: 0.0686, Acc.fountain: 0.2185, Acc.conveyer belt: 0.9116, Acc.canopy: 0.5180, Acc.washer: 0.7365, Acc.plaything: 0.7459, Acc.swimming pool: 0.7119, Acc.stool: 0.7296, Acc.barrel: 0.9851, Acc.basket: 0.5720, Acc.waterfall: 0.9136, Acc.tent: 0.9805, Acc.bag: 0.3822, Acc.minibike: 0.9012, Acc.cradle: 0.9730, Acc.oven: 0.8147, Acc.ball: 0.6723, Acc.food: 0.7494, Acc.step: 0.2936, Acc.tank: 0.6588, Acc.trade name: 0.2978, Acc.microwave: 0.4633, Acc.pot: 0.7278, Acc.animal: 0.6238, Acc.bicycle: 0.8175, Acc.lake: 0.6357, Acc.dishwasher: 0.8118, Acc.screen: 0.9428, Acc.blanket: 0.5095, Acc.sculpture: 0.8930, Acc.hood: 0.7807, Acc.sconce: 0.7687, Acc.vase: 0.7535, Acc.traffic light: 0.7382, Acc.tray: 0.2977, Acc.ashcan: 0.7405, Acc.fan: 0.8639, Acc.pier: 0.3997, Acc.crt screen: 0.0933, Acc.plate: 0.8361, Acc.monitor: 0.1406, Acc.bulletin board: 0.7843, Acc.shower: 0.2191, Acc.radiator: 0.8106, Acc.glass: 0.2912, Acc.clock: 0.6871, Acc.flag: 0.5775 2023-11-22 15:50:03,033 - mmseg - INFO - Iter [114050/160000] lr: 2.735e-06, eta: 7:29:03, time: 1.105, data_time: 0.542, memory: 38143, decode.loss_cls: 0.1909, decode.loss_mask: 0.4506, decode.loss_dice: 0.6845, decode.d0.loss_cls: 1.3067, decode.d0.loss_mask: 0.4816, decode.d0.loss_dice: 0.7628, decode.d1.loss_cls: 0.2651, decode.d1.loss_mask: 0.4693, decode.d1.loss_dice: 0.7332, decode.d2.loss_cls: 0.2201, decode.d2.loss_mask: 0.4611, decode.d2.loss_dice: 0.7069, decode.d3.loss_cls: 0.2056, decode.d3.loss_mask: 0.4554, decode.d3.loss_dice: 0.6924, decode.d4.loss_cls: 0.2024, decode.d4.loss_mask: 0.4532, decode.d4.loss_dice: 0.6897, decode.d5.loss_cls: 0.1972, decode.d5.loss_mask: 0.4520, decode.d5.loss_dice: 0.6868, decode.d6.loss_cls: 0.1978, decode.d6.loss_mask: 0.4517, decode.d6.loss_dice: 0.6848, decode.d7.loss_cls: 0.1933, decode.d7.loss_mask: 0.4522, decode.d7.loss_dice: 0.6840, decode.d8.loss_cls: 0.1884, decode.d8.loss_mask: 0.4530, decode.d8.loss_dice: 0.6880, loss: 14.7606, grad_norm: 68.3843 2023-11-22 15:50:31,557 - mmseg - INFO - Iter [114100/160000] lr: 2.733e-06, eta: 7:28:33, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1901, decode.loss_mask: 0.4450, decode.loss_dice: 0.6769, decode.d0.loss_cls: 1.2915, decode.d0.loss_mask: 0.4788, decode.d0.loss_dice: 0.7638, decode.d1.loss_cls: 0.2589, decode.d1.loss_mask: 0.4615, decode.d1.loss_dice: 0.7200, decode.d2.loss_cls: 0.2157, decode.d2.loss_mask: 0.4536, decode.d2.loss_dice: 0.6998, decode.d3.loss_cls: 0.2040, decode.d3.loss_mask: 0.4517, decode.d3.loss_dice: 0.6871, decode.d4.loss_cls: 0.1990, decode.d4.loss_mask: 0.4510, decode.d4.loss_dice: 0.6871, decode.d5.loss_cls: 0.1963, decode.d5.loss_mask: 0.4486, decode.d5.loss_dice: 0.6862, decode.d6.loss_cls: 0.1961, decode.d6.loss_mask: 0.4465, decode.d6.loss_dice: 0.6828, decode.d7.loss_cls: 0.1889, decode.d7.loss_mask: 0.4475, decode.d7.loss_dice: 0.6814, decode.d8.loss_cls: 0.1873, decode.d8.loss_mask: 0.4463, decode.d8.loss_dice: 0.6829, loss: 14.6260, grad_norm: 61.1920 2023-11-22 15:50:59,781 - mmseg - INFO - Iter [114150/160000] lr: 2.730e-06, eta: 7:28:04, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1977, decode.loss_mask: 0.4593, decode.loss_dice: 0.7027, decode.d0.loss_cls: 1.3054, decode.d0.loss_mask: 0.4917, decode.d0.loss_dice: 0.7854, decode.d1.loss_cls: 0.2700, decode.d1.loss_mask: 0.4782, decode.d1.loss_dice: 0.7399, decode.d2.loss_cls: 0.2243, decode.d2.loss_mask: 0.4710, decode.d2.loss_dice: 0.7266, decode.d3.loss_cls: 0.2092, decode.d3.loss_mask: 0.4661, decode.d3.loss_dice: 0.7125, decode.d4.loss_cls: 0.2046, decode.d4.loss_mask: 0.4610, decode.d4.loss_dice: 0.7071, decode.d5.loss_cls: 0.1996, decode.d5.loss_mask: 0.4616, decode.d5.loss_dice: 0.7073, decode.d6.loss_cls: 0.2009, decode.d6.loss_mask: 0.4610, decode.d6.loss_dice: 0.7052, decode.d7.loss_cls: 0.1937, decode.d7.loss_mask: 0.4601, decode.d7.loss_dice: 0.7098, decode.d8.loss_cls: 0.1978, decode.d8.loss_mask: 0.4600, decode.d8.loss_dice: 0.7032, loss: 15.0731, grad_norm: 68.2525 2023-11-22 15:51:27,975 - mmseg - INFO - Iter [114200/160000] lr: 2.727e-06, eta: 7:27:34, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2115, decode.loss_mask: 0.4534, decode.loss_dice: 0.7063, decode.d0.loss_cls: 1.3164, decode.d0.loss_mask: 0.4879, decode.d0.loss_dice: 0.7907, decode.d1.loss_cls: 0.2829, decode.d1.loss_mask: 0.4692, decode.d1.loss_dice: 0.7437, decode.d2.loss_cls: 0.2369, decode.d2.loss_mask: 0.4613, decode.d2.loss_dice: 0.7310, decode.d3.loss_cls: 0.2255, decode.d3.loss_mask: 0.4566, decode.d3.loss_dice: 0.7172, decode.d4.loss_cls: 0.2203, decode.d4.loss_mask: 0.4543, decode.d4.loss_dice: 0.7124, decode.d5.loss_cls: 0.2131, decode.d5.loss_mask: 0.4547, decode.d5.loss_dice: 0.7105, decode.d6.loss_cls: 0.2127, decode.d6.loss_mask: 0.4545, decode.d6.loss_dice: 0.7088, decode.d7.loss_cls: 0.2109, decode.d7.loss_mask: 0.4550, decode.d7.loss_dice: 0.7065, decode.d8.loss_cls: 0.2110, decode.d8.loss_mask: 0.4536, decode.d8.loss_dice: 0.7065, loss: 15.1753, grad_norm: 66.1159 2023-11-22 15:51:56,387 - mmseg - INFO - Iter [114250/160000] lr: 2.724e-06, eta: 7:27:04, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2039, decode.loss_mask: 0.4470, decode.loss_dice: 0.6989, decode.d0.loss_cls: 1.3094, decode.d0.loss_mask: 0.4785, decode.d0.loss_dice: 0.7768, decode.d1.loss_cls: 0.2741, decode.d1.loss_mask: 0.4643, decode.d1.loss_dice: 0.7399, decode.d2.loss_cls: 0.2340, decode.d2.loss_mask: 0.4542, decode.d2.loss_dice: 0.7194, decode.d3.loss_cls: 0.2252, decode.d3.loss_mask: 0.4501, decode.d3.loss_dice: 0.7030, decode.d4.loss_cls: 0.2162, decode.d4.loss_mask: 0.4505, decode.d4.loss_dice: 0.7031, decode.d5.loss_cls: 0.2110, decode.d5.loss_mask: 0.4487, decode.d5.loss_dice: 0.7025, decode.d6.loss_cls: 0.2060, decode.d6.loss_mask: 0.4484, decode.d6.loss_dice: 0.6985, decode.d7.loss_cls: 0.2090, decode.d7.loss_mask: 0.4471, decode.d7.loss_dice: 0.6981, decode.d8.loss_cls: 0.2034, decode.d8.loss_mask: 0.4470, decode.d8.loss_dice: 0.7005, loss: 14.9686, grad_norm: 68.2031 2023-11-22 15:52:24,966 - mmseg - INFO - Iter [114300/160000] lr: 2.721e-06, eta: 7:26:35, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1961, decode.loss_mask: 0.4588, decode.loss_dice: 0.7008, decode.d0.loss_cls: 1.3203, decode.d0.loss_mask: 0.4885, decode.d0.loss_dice: 0.7783, decode.d1.loss_cls: 0.2842, decode.d1.loss_mask: 0.4750, decode.d1.loss_dice: 0.7344, decode.d2.loss_cls: 0.2261, decode.d2.loss_mask: 0.4664, decode.d2.loss_dice: 0.7214, decode.d3.loss_cls: 0.2149, decode.d3.loss_mask: 0.4628, decode.d3.loss_dice: 0.7060, decode.d4.loss_cls: 0.2083, decode.d4.loss_mask: 0.4611, decode.d4.loss_dice: 0.7057, decode.d5.loss_cls: 0.2059, decode.d5.loss_mask: 0.4581, decode.d5.loss_dice: 0.7032, decode.d6.loss_cls: 0.2046, decode.d6.loss_mask: 0.4581, decode.d6.loss_dice: 0.7002, decode.d7.loss_cls: 0.2026, decode.d7.loss_mask: 0.4583, decode.d7.loss_dice: 0.6996, decode.d8.loss_cls: 0.2017, decode.d8.loss_mask: 0.4589, decode.d8.loss_dice: 0.7000, loss: 15.0600, grad_norm: 65.9490 2023-11-22 15:52:53,531 - mmseg - INFO - Iter [114350/160000] lr: 2.718e-06, eta: 7:26:05, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2000, decode.loss_mask: 0.4567, decode.loss_dice: 0.6905, decode.d0.loss_cls: 1.2622, decode.d0.loss_mask: 0.4891, decode.d0.loss_dice: 0.7692, decode.d1.loss_cls: 0.2820, decode.d1.loss_mask: 0.4738, decode.d1.loss_dice: 0.7261, decode.d2.loss_cls: 0.2352, decode.d2.loss_mask: 0.4665, decode.d2.loss_dice: 0.7138, decode.d3.loss_cls: 0.2190, decode.d3.loss_mask: 0.4638, decode.d3.loss_dice: 0.6961, decode.d4.loss_cls: 0.2132, decode.d4.loss_mask: 0.4600, decode.d4.loss_dice: 0.6998, decode.d5.loss_cls: 0.2091, decode.d5.loss_mask: 0.4613, decode.d5.loss_dice: 0.6993, decode.d6.loss_cls: 0.2035, decode.d6.loss_mask: 0.4606, decode.d6.loss_dice: 0.6950, decode.d7.loss_cls: 0.2001, decode.d7.loss_mask: 0.4570, decode.d7.loss_dice: 0.6938, decode.d8.loss_cls: 0.1971, decode.d8.loss_mask: 0.4580, decode.d8.loss_dice: 0.6935, loss: 14.9455, grad_norm: 71.5671 2023-11-22 15:53:21,770 - mmseg - INFO - Iter [114400/160000] lr: 2.715e-06, eta: 7:25:35, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1877, decode.loss_mask: 0.4583, decode.loss_dice: 0.6862, decode.d0.loss_cls: 1.2702, decode.d0.loss_mask: 0.4977, decode.d0.loss_dice: 0.7599, decode.d1.loss_cls: 0.2719, decode.d1.loss_mask: 0.4778, decode.d1.loss_dice: 0.7176, decode.d2.loss_cls: 0.2262, decode.d2.loss_mask: 0.4689, decode.d2.loss_dice: 0.7041, decode.d3.loss_cls: 0.2075, decode.d3.loss_mask: 0.4645, decode.d3.loss_dice: 0.6895, decode.d4.loss_cls: 0.1989, decode.d4.loss_mask: 0.4642, decode.d4.loss_dice: 0.6891, decode.d5.loss_cls: 0.1934, decode.d5.loss_mask: 0.4617, decode.d5.loss_dice: 0.6868, decode.d6.loss_cls: 0.1941, decode.d6.loss_mask: 0.4601, decode.d6.loss_dice: 0.6852, decode.d7.loss_cls: 0.1890, decode.d7.loss_mask: 0.4621, decode.d7.loss_dice: 0.6847, decode.d8.loss_cls: 0.1880, decode.d8.loss_mask: 0.4596, decode.d8.loss_dice: 0.6850, loss: 14.7897, grad_norm: 69.5819 2023-11-22 15:53:50,091 - mmseg - INFO - Iter [114450/160000] lr: 2.712e-06, eta: 7:25:06, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2119, decode.loss_mask: 0.4726, decode.loss_dice: 0.7221, decode.d0.loss_cls: 1.3056, decode.d0.loss_mask: 0.5075, decode.d0.loss_dice: 0.7991, decode.d1.loss_cls: 0.2937, decode.d1.loss_mask: 0.4918, decode.d1.loss_dice: 0.7611, decode.d2.loss_cls: 0.2567, decode.d2.loss_mask: 0.4834, decode.d2.loss_dice: 0.7401, decode.d3.loss_cls: 0.2359, decode.d3.loss_mask: 0.4779, decode.d3.loss_dice: 0.7276, decode.d4.loss_cls: 0.2323, decode.d4.loss_mask: 0.4759, decode.d4.loss_dice: 0.7277, decode.d5.loss_cls: 0.2250, decode.d5.loss_mask: 0.4750, decode.d5.loss_dice: 0.7261, decode.d6.loss_cls: 0.2249, decode.d6.loss_mask: 0.4727, decode.d6.loss_dice: 0.7199, decode.d7.loss_cls: 0.2181, decode.d7.loss_mask: 0.4736, decode.d7.loss_dice: 0.7203, decode.d8.loss_cls: 0.2156, decode.d8.loss_mask: 0.4734, decode.d8.loss_dice: 0.7224, loss: 15.5899, grad_norm: 68.2511 2023-11-22 15:54:18,494 - mmseg - INFO - Iter [114500/160000] lr: 2.709e-06, eta: 7:24:36, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2166, decode.loss_mask: 0.4577, decode.loss_dice: 0.7009, decode.d0.loss_cls: 1.2908, decode.d0.loss_mask: 0.4966, decode.d0.loss_dice: 0.7744, decode.d1.loss_cls: 0.2957, decode.d1.loss_mask: 0.4806, decode.d1.loss_dice: 0.7348, decode.d2.loss_cls: 0.2439, decode.d2.loss_mask: 0.4651, decode.d2.loss_dice: 0.7182, decode.d3.loss_cls: 0.2336, decode.d3.loss_mask: 0.4633, decode.d3.loss_dice: 0.7048, decode.d4.loss_cls: 0.2243, decode.d4.loss_mask: 0.4618, decode.d4.loss_dice: 0.7068, decode.d5.loss_cls: 0.2187, decode.d5.loss_mask: 0.4614, decode.d5.loss_dice: 0.7052, decode.d6.loss_cls: 0.2213, decode.d6.loss_mask: 0.4580, decode.d6.loss_dice: 0.6962, decode.d7.loss_cls: 0.2152, decode.d7.loss_mask: 0.4576, decode.d7.loss_dice: 0.7014, decode.d8.loss_cls: 0.2111, decode.d8.loss_mask: 0.4567, decode.d8.loss_dice: 0.6986, loss: 15.1713, grad_norm: 71.2942 2023-11-22 15:54:46,827 - mmseg - INFO - Iter [114550/160000] lr: 2.706e-06, eta: 7:24:06, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1946, decode.loss_mask: 0.4507, decode.loss_dice: 0.6650, decode.d0.loss_cls: 1.2641, decode.d0.loss_mask: 0.4840, decode.d0.loss_dice: 0.7442, decode.d1.loss_cls: 0.2672, decode.d1.loss_mask: 0.4649, decode.d1.loss_dice: 0.7011, decode.d2.loss_cls: 0.2298, decode.d2.loss_mask: 0.4520, decode.d2.loss_dice: 0.6856, decode.d3.loss_cls: 0.2104, decode.d3.loss_mask: 0.4510, decode.d3.loss_dice: 0.6771, decode.d4.loss_cls: 0.2025, decode.d4.loss_mask: 0.4518, decode.d4.loss_dice: 0.6740, decode.d5.loss_cls: 0.2042, decode.d5.loss_mask: 0.4506, decode.d5.loss_dice: 0.6690, decode.d6.loss_cls: 0.1991, decode.d6.loss_mask: 0.4522, decode.d6.loss_dice: 0.6699, decode.d7.loss_cls: 0.1988, decode.d7.loss_mask: 0.4501, decode.d7.loss_dice: 0.6655, decode.d8.loss_cls: 0.1946, decode.d8.loss_mask: 0.4498, decode.d8.loss_dice: 0.6653, loss: 14.5390, grad_norm: 70.0334 2023-11-22 15:55:15,529 - mmseg - INFO - Iter [114600/160000] lr: 2.703e-06, eta: 7:23:37, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2089, decode.loss_mask: 0.4631, decode.loss_dice: 0.7045, decode.d0.loss_cls: 1.2961, decode.d0.loss_mask: 0.4949, decode.d0.loss_dice: 0.7822, decode.d1.loss_cls: 0.2864, decode.d1.loss_mask: 0.4806, decode.d1.loss_dice: 0.7416, decode.d2.loss_cls: 0.2371, decode.d2.loss_mask: 0.4718, decode.d2.loss_dice: 0.7227, decode.d3.loss_cls: 0.2270, decode.d3.loss_mask: 0.4681, decode.d3.loss_dice: 0.7116, decode.d4.loss_cls: 0.2199, decode.d4.loss_mask: 0.4678, decode.d4.loss_dice: 0.7064, decode.d5.loss_cls: 0.2162, decode.d5.loss_mask: 0.4683, decode.d5.loss_dice: 0.7067, decode.d6.loss_cls: 0.2145, decode.d6.loss_mask: 0.4642, decode.d6.loss_dice: 0.7039, decode.d7.loss_cls: 0.2140, decode.d7.loss_mask: 0.4634, decode.d7.loss_dice: 0.7075, decode.d8.loss_cls: 0.2058, decode.d8.loss_mask: 0.4632, decode.d8.loss_dice: 0.7041, loss: 15.2224, grad_norm: 63.9683 2023-11-22 15:55:44,016 - mmseg - INFO - Iter [114650/160000] lr: 2.700e-06, eta: 7:23:07, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2005, decode.loss_mask: 0.4583, decode.loss_dice: 0.7082, decode.d0.loss_cls: 1.3158, decode.d0.loss_mask: 0.4900, decode.d0.loss_dice: 0.7764, decode.d1.loss_cls: 0.2727, decode.d1.loss_mask: 0.4758, decode.d1.loss_dice: 0.7375, decode.d2.loss_cls: 0.2347, decode.d2.loss_mask: 0.4693, decode.d2.loss_dice: 0.7239, decode.d3.loss_cls: 0.2211, decode.d3.loss_mask: 0.4638, decode.d3.loss_dice: 0.7121, decode.d4.loss_cls: 0.2133, decode.d4.loss_mask: 0.4619, decode.d4.loss_dice: 0.7092, decode.d5.loss_cls: 0.2114, decode.d5.loss_mask: 0.4611, decode.d5.loss_dice: 0.7066, decode.d6.loss_cls: 0.2099, decode.d6.loss_mask: 0.4585, decode.d6.loss_dice: 0.7055, decode.d7.loss_cls: 0.2066, decode.d7.loss_mask: 0.4580, decode.d7.loss_dice: 0.7019, decode.d8.loss_cls: 0.2045, decode.d8.loss_mask: 0.4574, decode.d8.loss_dice: 0.7050, loss: 15.1308, grad_norm: 67.4361 2023-11-22 15:56:12,272 - mmseg - INFO - Iter [114700/160000] lr: 2.697e-06, eta: 7:22:37, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2023, decode.loss_mask: 0.4828, decode.loss_dice: 0.7001, decode.d0.loss_cls: 1.3068, decode.d0.loss_mask: 0.5138, decode.d0.loss_dice: 0.7728, decode.d1.loss_cls: 0.2868, decode.d1.loss_mask: 0.5019, decode.d1.loss_dice: 0.7352, decode.d2.loss_cls: 0.2340, decode.d2.loss_mask: 0.4918, decode.d2.loss_dice: 0.7242, decode.d3.loss_cls: 0.2209, decode.d3.loss_mask: 0.4849, decode.d3.loss_dice: 0.7061, decode.d4.loss_cls: 0.2182, decode.d4.loss_mask: 0.4848, decode.d4.loss_dice: 0.7075, decode.d5.loss_cls: 0.2139, decode.d5.loss_mask: 0.4845, decode.d5.loss_dice: 0.7084, decode.d6.loss_cls: 0.2070, decode.d6.loss_mask: 0.4820, decode.d6.loss_dice: 0.7015, decode.d7.loss_cls: 0.2024, decode.d7.loss_mask: 0.4806, decode.d7.loss_dice: 0.7035, decode.d8.loss_cls: 0.2015, decode.d8.loss_mask: 0.4823, decode.d8.loss_dice: 0.7019, loss: 15.3442, grad_norm: 69.1383 2023-11-22 15:56:40,709 - mmseg - INFO - Iter [114750/160000] lr: 2.694e-06, eta: 7:22:08, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1946, decode.loss_mask: 0.4586, decode.loss_dice: 0.6915, decode.d0.loss_cls: 1.2748, decode.d0.loss_mask: 0.4903, decode.d0.loss_dice: 0.7650, decode.d1.loss_cls: 0.2764, decode.d1.loss_mask: 0.4761, decode.d1.loss_dice: 0.7317, decode.d2.loss_cls: 0.2355, decode.d2.loss_mask: 0.4671, decode.d2.loss_dice: 0.7115, decode.d3.loss_cls: 0.2182, decode.d3.loss_mask: 0.4616, decode.d3.loss_dice: 0.6992, decode.d4.loss_cls: 0.2041, decode.d4.loss_mask: 0.4627, decode.d4.loss_dice: 0.7013, decode.d5.loss_cls: 0.2012, decode.d5.loss_mask: 0.4602, decode.d5.loss_dice: 0.6930, decode.d6.loss_cls: 0.1996, decode.d6.loss_mask: 0.4582, decode.d6.loss_dice: 0.6918, decode.d7.loss_cls: 0.1960, decode.d7.loss_mask: 0.4582, decode.d7.loss_dice: 0.6893, decode.d8.loss_cls: 0.1957, decode.d8.loss_mask: 0.4584, decode.d8.loss_dice: 0.6900, loss: 14.9118, grad_norm: 64.5850 2023-11-22 15:57:09,089 - mmseg - INFO - Iter [114800/160000] lr: 2.691e-06, eta: 7:21:38, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1834, decode.loss_mask: 0.4616, decode.loss_dice: 0.7018, decode.d0.loss_cls: 1.2887, decode.d0.loss_mask: 0.4917, decode.d0.loss_dice: 0.7689, decode.d1.loss_cls: 0.2649, decode.d1.loss_mask: 0.4747, decode.d1.loss_dice: 0.7345, decode.d2.loss_cls: 0.2194, decode.d2.loss_mask: 0.4671, decode.d2.loss_dice: 0.7152, decode.d3.loss_cls: 0.2006, decode.d3.loss_mask: 0.4671, decode.d3.loss_dice: 0.7042, decode.d4.loss_cls: 0.1986, decode.d4.loss_mask: 0.4644, decode.d4.loss_dice: 0.7043, decode.d5.loss_cls: 0.1986, decode.d5.loss_mask: 0.4641, decode.d5.loss_dice: 0.7049, decode.d6.loss_cls: 0.1888, decode.d6.loss_mask: 0.4629, decode.d6.loss_dice: 0.7008, decode.d7.loss_cls: 0.1864, decode.d7.loss_mask: 0.4629, decode.d7.loss_dice: 0.7007, decode.d8.loss_cls: 0.1843, decode.d8.loss_mask: 0.4611, decode.d8.loss_dice: 0.7010, loss: 14.9276, grad_norm: 66.7312 2023-11-22 15:57:37,433 - mmseg - INFO - Iter [114850/160000] lr: 2.688e-06, eta: 7:21:08, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2006, decode.loss_mask: 0.4627, decode.loss_dice: 0.6948, decode.d0.loss_cls: 1.2980, decode.d0.loss_mask: 0.4929, decode.d0.loss_dice: 0.7704, decode.d1.loss_cls: 0.2744, decode.d1.loss_mask: 0.4817, decode.d1.loss_dice: 0.7312, decode.d2.loss_cls: 0.2326, decode.d2.loss_mask: 0.4705, decode.d2.loss_dice: 0.7087, decode.d3.loss_cls: 0.2208, decode.d3.loss_mask: 0.4684, decode.d3.loss_dice: 0.6990, decode.d4.loss_cls: 0.2125, decode.d4.loss_mask: 0.4656, decode.d4.loss_dice: 0.6968, decode.d5.loss_cls: 0.2091, decode.d5.loss_mask: 0.4631, decode.d5.loss_dice: 0.6961, decode.d6.loss_cls: 0.2065, decode.d6.loss_mask: 0.4635, decode.d6.loss_dice: 0.6911, decode.d7.loss_cls: 0.2077, decode.d7.loss_mask: 0.4631, decode.d7.loss_dice: 0.6958, decode.d8.loss_cls: 0.2047, decode.d8.loss_mask: 0.4624, decode.d8.loss_dice: 0.6942, loss: 15.0389, grad_norm: 66.0012 2023-11-22 15:58:06,037 - mmseg - INFO - Iter [114900/160000] lr: 2.685e-06, eta: 7:20:39, time: 0.572, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1968, decode.loss_mask: 0.4538, decode.loss_dice: 0.6813, decode.d0.loss_cls: 1.3027, decode.d0.loss_mask: 0.4861, decode.d0.loss_dice: 0.7603, decode.d1.loss_cls: 0.2756, decode.d1.loss_mask: 0.4719, decode.d1.loss_dice: 0.7220, decode.d2.loss_cls: 0.2325, decode.d2.loss_mask: 0.4620, decode.d2.loss_dice: 0.7027, decode.d3.loss_cls: 0.2115, decode.d3.loss_mask: 0.4579, decode.d3.loss_dice: 0.6889, decode.d4.loss_cls: 0.2118, decode.d4.loss_mask: 0.4569, decode.d4.loss_dice: 0.6904, decode.d5.loss_cls: 0.2014, decode.d5.loss_mask: 0.4565, decode.d5.loss_dice: 0.6879, decode.d6.loss_cls: 0.2005, decode.d6.loss_mask: 0.4561, decode.d6.loss_dice: 0.6858, decode.d7.loss_cls: 0.2005, decode.d7.loss_mask: 0.4555, decode.d7.loss_dice: 0.6879, decode.d8.loss_cls: 0.1910, decode.d8.loss_mask: 0.4559, decode.d8.loss_dice: 0.6849, loss: 14.8292, grad_norm: 71.4233 2023-11-22 15:58:36,836 - mmseg - INFO - Iter [114950/160000] lr: 2.682e-06, eta: 7:20:10, time: 0.616, data_time: 0.058, memory: 38143, decode.loss_cls: 0.1767, decode.loss_mask: 0.4559, decode.loss_dice: 0.6860, decode.d0.loss_cls: 1.2486, decode.d0.loss_mask: 0.4848, decode.d0.loss_dice: 0.7531, decode.d1.loss_cls: 0.2636, decode.d1.loss_mask: 0.4695, decode.d1.loss_dice: 0.7215, decode.d2.loss_cls: 0.2168, decode.d2.loss_mask: 0.4613, decode.d2.loss_dice: 0.6993, decode.d3.loss_cls: 0.1951, decode.d3.loss_mask: 0.4608, decode.d3.loss_dice: 0.6910, decode.d4.loss_cls: 0.1895, decode.d4.loss_mask: 0.4589, decode.d4.loss_dice: 0.6904, decode.d5.loss_cls: 0.1836, decode.d5.loss_mask: 0.4597, decode.d5.loss_dice: 0.6894, decode.d6.loss_cls: 0.1821, decode.d6.loss_mask: 0.4589, decode.d6.loss_dice: 0.6869, decode.d7.loss_cls: 0.1789, decode.d7.loss_mask: 0.4578, decode.d7.loss_dice: 0.6851, decode.d8.loss_cls: 0.1778, decode.d8.loss_mask: 0.4569, decode.d8.loss_dice: 0.6856, loss: 14.6256, grad_norm: 67.4049 2023-11-22 15:59:05,058 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 15:59:05,058 - mmseg - INFO - Iter [115000/160000] lr: 2.679e-06, eta: 7:19:40, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1868, decode.loss_mask: 0.4559, decode.loss_dice: 0.6893, decode.d0.loss_cls: 1.2867, decode.d0.loss_mask: 0.4929, decode.d0.loss_dice: 0.7638, decode.d1.loss_cls: 0.2661, decode.d1.loss_mask: 0.4731, decode.d1.loss_dice: 0.7206, decode.d2.loss_cls: 0.2256, decode.d2.loss_mask: 0.4629, decode.d2.loss_dice: 0.7024, decode.d3.loss_cls: 0.2051, decode.d3.loss_mask: 0.4593, decode.d3.loss_dice: 0.6917, decode.d4.loss_cls: 0.2026, decode.d4.loss_mask: 0.4580, decode.d4.loss_dice: 0.6897, decode.d5.loss_cls: 0.2004, decode.d5.loss_mask: 0.4572, decode.d5.loss_dice: 0.6871, decode.d6.loss_cls: 0.1906, decode.d6.loss_mask: 0.4560, decode.d6.loss_dice: 0.6905, decode.d7.loss_cls: 0.1862, decode.d7.loss_mask: 0.4560, decode.d7.loss_dice: 0.6886, decode.d8.loss_cls: 0.1853, decode.d8.loss_mask: 0.4569, decode.d8.loss_dice: 0.6843, loss: 14.7715, grad_norm: 68.4310 2023-11-22 15:59:33,423 - mmseg - INFO - Iter [115050/160000] lr: 2.676e-06, eta: 7:19:10, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1961, decode.loss_mask: 0.4532, decode.loss_dice: 0.6701, decode.d0.loss_cls: 1.2918, decode.d0.loss_mask: 0.4824, decode.d0.loss_dice: 0.7437, decode.d1.loss_cls: 0.2881, decode.d1.loss_mask: 0.4699, decode.d1.loss_dice: 0.6994, decode.d2.loss_cls: 0.2398, decode.d2.loss_mask: 0.4612, decode.d2.loss_dice: 0.6811, decode.d3.loss_cls: 0.2189, decode.d3.loss_mask: 0.4558, decode.d3.loss_dice: 0.6706, decode.d4.loss_cls: 0.2124, decode.d4.loss_mask: 0.4559, decode.d4.loss_dice: 0.6675, decode.d5.loss_cls: 0.2060, decode.d5.loss_mask: 0.4550, decode.d5.loss_dice: 0.6682, decode.d6.loss_cls: 0.2025, decode.d6.loss_mask: 0.4538, decode.d6.loss_dice: 0.6682, decode.d7.loss_cls: 0.2039, decode.d7.loss_mask: 0.4518, decode.d7.loss_dice: 0.6684, decode.d8.loss_cls: 0.1981, decode.d8.loss_mask: 0.4537, decode.d8.loss_dice: 0.6670, loss: 14.6546, grad_norm: 72.6502 2023-11-22 16:00:01,852 - mmseg - INFO - Iter [115100/160000] lr: 2.673e-06, eta: 7:18:41, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1996, decode.loss_mask: 0.4727, decode.loss_dice: 0.7032, decode.d0.loss_cls: 1.2774, decode.d0.loss_mask: 0.5120, decode.d0.loss_dice: 0.7774, decode.d1.loss_cls: 0.2818, decode.d1.loss_mask: 0.4919, decode.d1.loss_dice: 0.7378, decode.d2.loss_cls: 0.2318, decode.d2.loss_mask: 0.4796, decode.d2.loss_dice: 0.7267, decode.d3.loss_cls: 0.2175, decode.d3.loss_mask: 0.4789, decode.d3.loss_dice: 0.7098, decode.d4.loss_cls: 0.2087, decode.d4.loss_mask: 0.4753, decode.d4.loss_dice: 0.7086, decode.d5.loss_cls: 0.2050, decode.d5.loss_mask: 0.4737, decode.d5.loss_dice: 0.7057, decode.d6.loss_cls: 0.2055, decode.d6.loss_mask: 0.4724, decode.d6.loss_dice: 0.7011, decode.d7.loss_cls: 0.2033, decode.d7.loss_mask: 0.4730, decode.d7.loss_dice: 0.7009, decode.d8.loss_cls: 0.1985, decode.d8.loss_mask: 0.4721, decode.d8.loss_dice: 0.7035, loss: 15.2052, grad_norm: 69.1109 2023-11-22 16:00:30,163 - mmseg - INFO - Iter [115150/160000] lr: 2.670e-06, eta: 7:18:11, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1839, decode.loss_mask: 0.4614, decode.loss_dice: 0.6791, decode.d0.loss_cls: 1.2636, decode.d0.loss_mask: 0.4930, decode.d0.loss_dice: 0.7577, decode.d1.loss_cls: 0.2738, decode.d1.loss_mask: 0.4765, decode.d1.loss_dice: 0.7145, decode.d2.loss_cls: 0.2263, decode.d2.loss_mask: 0.4640, decode.d2.loss_dice: 0.6949, decode.d3.loss_cls: 0.2015, decode.d3.loss_mask: 0.4650, decode.d3.loss_dice: 0.6846, decode.d4.loss_cls: 0.1948, decode.d4.loss_mask: 0.4634, decode.d4.loss_dice: 0.6830, decode.d5.loss_cls: 0.1939, decode.d5.loss_mask: 0.4628, decode.d5.loss_dice: 0.6794, decode.d6.loss_cls: 0.1915, decode.d6.loss_mask: 0.4619, decode.d6.loss_dice: 0.6785, decode.d7.loss_cls: 0.1888, decode.d7.loss_mask: 0.4619, decode.d7.loss_dice: 0.6776, decode.d8.loss_cls: 0.1866, decode.d8.loss_mask: 0.4621, decode.d8.loss_dice: 0.6770, loss: 14.7027, grad_norm: 71.6449 2023-11-22 16:00:58,931 - mmseg - INFO - Iter [115200/160000] lr: 2.667e-06, eta: 7:17:42, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1991, decode.loss_mask: 0.4753, decode.loss_dice: 0.7001, decode.d0.loss_cls: 1.3207, decode.d0.loss_mask: 0.5102, decode.d0.loss_dice: 0.7779, decode.d1.loss_cls: 0.2706, decode.d1.loss_mask: 0.4924, decode.d1.loss_dice: 0.7387, decode.d2.loss_cls: 0.2322, decode.d2.loss_mask: 0.4854, decode.d2.loss_dice: 0.7214, decode.d3.loss_cls: 0.2158, decode.d3.loss_mask: 0.4779, decode.d3.loss_dice: 0.7034, decode.d4.loss_cls: 0.2114, decode.d4.loss_mask: 0.4764, decode.d4.loss_dice: 0.7009, decode.d5.loss_cls: 0.2065, decode.d5.loss_mask: 0.4779, decode.d5.loss_dice: 0.7032, decode.d6.loss_cls: 0.2037, decode.d6.loss_mask: 0.4759, decode.d6.loss_dice: 0.6987, decode.d7.loss_cls: 0.2003, decode.d7.loss_mask: 0.4737, decode.d7.loss_dice: 0.7008, decode.d8.loss_cls: 0.1985, decode.d8.loss_mask: 0.4757, decode.d8.loss_dice: 0.6967, loss: 15.2214, grad_norm: 71.8620 2023-11-22 16:01:27,513 - mmseg - INFO - Iter [115250/160000] lr: 2.664e-06, eta: 7:17:12, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1810, decode.loss_mask: 0.4611, decode.loss_dice: 0.6870, decode.d0.loss_cls: 1.2937, decode.d0.loss_mask: 0.4939, decode.d0.loss_dice: 0.7624, decode.d1.loss_cls: 0.2633, decode.d1.loss_mask: 0.4752, decode.d1.loss_dice: 0.7209, decode.d2.loss_cls: 0.2225, decode.d2.loss_mask: 0.4699, decode.d2.loss_dice: 0.7016, decode.d3.loss_cls: 0.1996, decode.d3.loss_mask: 0.4661, decode.d3.loss_dice: 0.6948, decode.d4.loss_cls: 0.1939, decode.d4.loss_mask: 0.4651, decode.d4.loss_dice: 0.6943, decode.d5.loss_cls: 0.1861, decode.d5.loss_mask: 0.4617, decode.d5.loss_dice: 0.6899, decode.d6.loss_cls: 0.1858, decode.d6.loss_mask: 0.4609, decode.d6.loss_dice: 0.6888, decode.d7.loss_cls: 0.1860, decode.d7.loss_mask: 0.4607, decode.d7.loss_dice: 0.6865, decode.d8.loss_cls: 0.1839, decode.d8.loss_mask: 0.4613, decode.d8.loss_dice: 0.6853, loss: 14.7832, grad_norm: 70.0311 2023-11-22 16:01:55,766 - mmseg - INFO - Iter [115300/160000] lr: 2.661e-06, eta: 7:16:42, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2018, decode.loss_mask: 0.4398, decode.loss_dice: 0.6934, decode.d0.loss_cls: 1.3188, decode.d0.loss_mask: 0.4727, decode.d0.loss_dice: 0.7688, decode.d1.loss_cls: 0.2931, decode.d1.loss_mask: 0.4544, decode.d1.loss_dice: 0.7287, decode.d2.loss_cls: 0.2335, decode.d2.loss_mask: 0.4491, decode.d2.loss_dice: 0.7089, decode.d3.loss_cls: 0.2172, decode.d3.loss_mask: 0.4426, decode.d3.loss_dice: 0.6995, decode.d4.loss_cls: 0.2117, decode.d4.loss_mask: 0.4429, decode.d4.loss_dice: 0.6977, decode.d5.loss_cls: 0.2098, decode.d5.loss_mask: 0.4422, decode.d5.loss_dice: 0.6952, decode.d6.loss_cls: 0.2074, decode.d6.loss_mask: 0.4402, decode.d6.loss_dice: 0.6909, decode.d7.loss_cls: 0.2069, decode.d7.loss_mask: 0.4401, decode.d7.loss_dice: 0.6939, decode.d8.loss_cls: 0.2047, decode.d8.loss_mask: 0.4401, decode.d8.loss_dice: 0.6947, loss: 14.8409, grad_norm: 67.1575 2023-11-22 16:02:24,176 - mmseg - INFO - Iter [115350/160000] lr: 2.658e-06, eta: 7:16:13, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1968, decode.loss_mask: 0.4459, decode.loss_dice: 0.6752, decode.d0.loss_cls: 1.2737, decode.d0.loss_mask: 0.4834, decode.d0.loss_dice: 0.7645, decode.d1.loss_cls: 0.2746, decode.d1.loss_mask: 0.4647, decode.d1.loss_dice: 0.7215, decode.d2.loss_cls: 0.2396, decode.d2.loss_mask: 0.4546, decode.d2.loss_dice: 0.6962, decode.d3.loss_cls: 0.2179, decode.d3.loss_mask: 0.4492, decode.d3.loss_dice: 0.6867, decode.d4.loss_cls: 0.2143, decode.d4.loss_mask: 0.4486, decode.d4.loss_dice: 0.6842, decode.d5.loss_cls: 0.2036, decode.d5.loss_mask: 0.4481, decode.d5.loss_dice: 0.6838, decode.d6.loss_cls: 0.2025, decode.d6.loss_mask: 0.4457, decode.d6.loss_dice: 0.6836, decode.d7.loss_cls: 0.1978, decode.d7.loss_mask: 0.4462, decode.d7.loss_dice: 0.6792, decode.d8.loss_cls: 0.1961, decode.d8.loss_mask: 0.4468, decode.d8.loss_dice: 0.6831, loss: 14.7081, grad_norm: 66.4824 2023-11-22 16:02:52,745 - mmseg - INFO - Iter [115400/160000] lr: 2.655e-06, eta: 7:15:43, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2042, decode.loss_mask: 0.4398, decode.loss_dice: 0.6880, decode.d0.loss_cls: 1.3026, decode.d0.loss_mask: 0.4729, decode.d0.loss_dice: 0.7669, decode.d1.loss_cls: 0.2787, decode.d1.loss_mask: 0.4579, decode.d1.loss_dice: 0.7231, decode.d2.loss_cls: 0.2369, decode.d2.loss_mask: 0.4469, decode.d2.loss_dice: 0.7053, decode.d3.loss_cls: 0.2197, decode.d3.loss_mask: 0.4438, decode.d3.loss_dice: 0.6982, decode.d4.loss_cls: 0.2151, decode.d4.loss_mask: 0.4421, decode.d4.loss_dice: 0.6910, decode.d5.loss_cls: 0.2110, decode.d5.loss_mask: 0.4410, decode.d5.loss_dice: 0.6933, decode.d6.loss_cls: 0.2066, decode.d6.loss_mask: 0.4405, decode.d6.loss_dice: 0.6887, decode.d7.loss_cls: 0.2093, decode.d7.loss_mask: 0.4392, decode.d7.loss_dice: 0.6914, decode.d8.loss_cls: 0.2016, decode.d8.loss_mask: 0.4400, decode.d8.loss_dice: 0.6942, loss: 14.7899, grad_norm: 63.9608 2023-11-22 16:03:21,058 - mmseg - INFO - Iter [115450/160000] lr: 2.652e-06, eta: 7:15:13, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1986, decode.loss_mask: 0.4423, decode.loss_dice: 0.6937, decode.d0.loss_cls: 1.3110, decode.d0.loss_mask: 0.4756, decode.d0.loss_dice: 0.7683, decode.d1.loss_cls: 0.2845, decode.d1.loss_mask: 0.4593, decode.d1.loss_dice: 0.7232, decode.d2.loss_cls: 0.2347, decode.d2.loss_mask: 0.4511, decode.d2.loss_dice: 0.7057, decode.d3.loss_cls: 0.2210, decode.d3.loss_mask: 0.4453, decode.d3.loss_dice: 0.7002, decode.d4.loss_cls: 0.2118, decode.d4.loss_mask: 0.4437, decode.d4.loss_dice: 0.6968, decode.d5.loss_cls: 0.2055, decode.d5.loss_mask: 0.4438, decode.d5.loss_dice: 0.6936, decode.d6.loss_cls: 0.2075, decode.d6.loss_mask: 0.4421, decode.d6.loss_dice: 0.6946, decode.d7.loss_cls: 0.2015, decode.d7.loss_mask: 0.4419, decode.d7.loss_dice: 0.6939, decode.d8.loss_cls: 0.1999, decode.d8.loss_mask: 0.4423, decode.d8.loss_dice: 0.6913, loss: 14.8248, grad_norm: 63.7892 2023-11-22 16:03:49,793 - mmseg - INFO - Iter [115500/160000] lr: 2.649e-06, eta: 7:14:44, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1737, decode.loss_mask: 0.4594, decode.loss_dice: 0.6743, decode.d0.loss_cls: 1.2729, decode.d0.loss_mask: 0.4966, decode.d0.loss_dice: 0.7511, decode.d1.loss_cls: 0.2586, decode.d1.loss_mask: 0.4773, decode.d1.loss_dice: 0.7106, decode.d2.loss_cls: 0.2131, decode.d2.loss_mask: 0.4650, decode.d2.loss_dice: 0.6909, decode.d3.loss_cls: 0.1954, decode.d3.loss_mask: 0.4622, decode.d3.loss_dice: 0.6829, decode.d4.loss_cls: 0.1892, decode.d4.loss_mask: 0.4624, decode.d4.loss_dice: 0.6806, decode.d5.loss_cls: 0.1821, decode.d5.loss_mask: 0.4602, decode.d5.loss_dice: 0.6765, decode.d6.loss_cls: 0.1800, decode.d6.loss_mask: 0.4597, decode.d6.loss_dice: 0.6772, decode.d7.loss_cls: 0.1758, decode.d7.loss_mask: 0.4596, decode.d7.loss_dice: 0.6745, decode.d8.loss_cls: 0.1738, decode.d8.loss_mask: 0.4599, decode.d8.loss_dice: 0.6770, loss: 14.5725, grad_norm: 67.7473 2023-11-22 16:04:18,207 - mmseg - INFO - Iter [115550/160000] lr: 2.646e-06, eta: 7:14:14, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1908, decode.loss_mask: 0.4633, decode.loss_dice: 0.6915, decode.d0.loss_cls: 1.3344, decode.d0.loss_mask: 0.5007, decode.d0.loss_dice: 0.7669, decode.d1.loss_cls: 0.2781, decode.d1.loss_mask: 0.4849, decode.d1.loss_dice: 0.7255, decode.d2.loss_cls: 0.2296, decode.d2.loss_mask: 0.4737, decode.d2.loss_dice: 0.7105, decode.d3.loss_cls: 0.2125, decode.d3.loss_mask: 0.4659, decode.d3.loss_dice: 0.6938, decode.d4.loss_cls: 0.2008, decode.d4.loss_mask: 0.4659, decode.d4.loss_dice: 0.6940, decode.d5.loss_cls: 0.2003, decode.d5.loss_mask: 0.4638, decode.d5.loss_dice: 0.6964, decode.d6.loss_cls: 0.1987, decode.d6.loss_mask: 0.4646, decode.d6.loss_dice: 0.6904, decode.d7.loss_cls: 0.1957, decode.d7.loss_mask: 0.4628, decode.d7.loss_dice: 0.6873, decode.d8.loss_cls: 0.1964, decode.d8.loss_mask: 0.4640, decode.d8.loss_dice: 0.6902, loss: 14.9934, grad_norm: 68.5461 2023-11-22 16:04:46,813 - mmseg - INFO - Iter [115600/160000] lr: 2.643e-06, eta: 7:13:45, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2024, decode.loss_mask: 0.4747, decode.loss_dice: 0.7097, decode.d0.loss_cls: 1.2888, decode.d0.loss_mask: 0.5079, decode.d0.loss_dice: 0.7849, decode.d1.loss_cls: 0.2890, decode.d1.loss_mask: 0.4890, decode.d1.loss_dice: 0.7529, decode.d2.loss_cls: 0.2404, decode.d2.loss_mask: 0.4840, decode.d2.loss_dice: 0.7283, decode.d3.loss_cls: 0.2195, decode.d3.loss_mask: 0.4766, decode.d3.loss_dice: 0.7127, decode.d4.loss_cls: 0.2153, decode.d4.loss_mask: 0.4768, decode.d4.loss_dice: 0.7101, decode.d5.loss_cls: 0.2118, decode.d5.loss_mask: 0.4762, decode.d5.loss_dice: 0.7114, decode.d6.loss_cls: 0.2068, decode.d6.loss_mask: 0.4755, decode.d6.loss_dice: 0.7098, decode.d7.loss_cls: 0.2036, decode.d7.loss_mask: 0.4744, decode.d7.loss_dice: 0.7124, decode.d8.loss_cls: 0.2030, decode.d8.loss_mask: 0.4750, decode.d8.loss_dice: 0.7069, loss: 15.3297, grad_norm: 69.5575 2023-11-22 16:05:15,355 - mmseg - INFO - Iter [115650/160000] lr: 2.640e-06, eta: 7:13:15, time: 0.571, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2006, decode.loss_mask: 0.4827, decode.loss_dice: 0.6994, decode.d0.loss_cls: 1.2796, decode.d0.loss_mask: 0.5120, decode.d0.loss_dice: 0.7709, decode.d1.loss_cls: 0.2803, decode.d1.loss_mask: 0.4992, decode.d1.loss_dice: 0.7333, decode.d2.loss_cls: 0.2304, decode.d2.loss_mask: 0.4929, decode.d2.loss_dice: 0.7187, decode.d3.loss_cls: 0.2216, decode.d3.loss_mask: 0.4858, decode.d3.loss_dice: 0.7036, decode.d4.loss_cls: 0.2116, decode.d4.loss_mask: 0.4863, decode.d4.loss_dice: 0.7016, decode.d5.loss_cls: 0.2064, decode.d5.loss_mask: 0.4839, decode.d5.loss_dice: 0.7051, decode.d6.loss_cls: 0.2010, decode.d6.loss_mask: 0.4863, decode.d6.loss_dice: 0.7033, decode.d7.loss_cls: 0.2043, decode.d7.loss_mask: 0.4831, decode.d7.loss_dice: 0.6982, decode.d8.loss_cls: 0.1983, decode.d8.loss_mask: 0.4844, decode.d8.loss_dice: 0.7037, loss: 15.2684, grad_norm: 75.8233 2023-11-22 16:05:43,705 - mmseg - INFO - Iter [115700/160000] lr: 2.637e-06, eta: 7:12:45, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1983, decode.loss_mask: 0.4796, decode.loss_dice: 0.6966, decode.d0.loss_cls: 1.2744, decode.d0.loss_mask: 0.5199, decode.d0.loss_dice: 0.7704, decode.d1.loss_cls: 0.2760, decode.d1.loss_mask: 0.4975, decode.d1.loss_dice: 0.7328, decode.d2.loss_cls: 0.2298, decode.d2.loss_mask: 0.4863, decode.d2.loss_dice: 0.7160, decode.d3.loss_cls: 0.2212, decode.d3.loss_mask: 0.4793, decode.d3.loss_dice: 0.6951, decode.d4.loss_cls: 0.2093, decode.d4.loss_mask: 0.4784, decode.d4.loss_dice: 0.6974, decode.d5.loss_cls: 0.2023, decode.d5.loss_mask: 0.4789, decode.d5.loss_dice: 0.6973, decode.d6.loss_cls: 0.2011, decode.d6.loss_mask: 0.4792, decode.d6.loss_dice: 0.6950, decode.d7.loss_cls: 0.2007, decode.d7.loss_mask: 0.4795, decode.d7.loss_dice: 0.6908, decode.d8.loss_cls: 0.1961, decode.d8.loss_mask: 0.4811, decode.d8.loss_dice: 0.6923, loss: 15.1525, grad_norm: 72.0804 2023-11-22 16:06:12,053 - mmseg - INFO - Iter [115750/160000] lr: 2.634e-06, eta: 7:12:16, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1973, decode.loss_mask: 0.4518, decode.loss_dice: 0.6896, decode.d0.loss_cls: 1.3074, decode.d0.loss_mask: 0.4906, decode.d0.loss_dice: 0.7697, decode.d1.loss_cls: 0.2724, decode.d1.loss_mask: 0.4665, decode.d1.loss_dice: 0.7221, decode.d2.loss_cls: 0.2265, decode.d2.loss_mask: 0.4580, decode.d2.loss_dice: 0.7057, decode.d3.loss_cls: 0.2122, decode.d3.loss_mask: 0.4543, decode.d3.loss_dice: 0.6954, decode.d4.loss_cls: 0.2037, decode.d4.loss_mask: 0.4549, decode.d4.loss_dice: 0.6896, decode.d5.loss_cls: 0.1932, decode.d5.loss_mask: 0.4549, decode.d5.loss_dice: 0.6915, decode.d6.loss_cls: 0.1982, decode.d6.loss_mask: 0.4538, decode.d6.loss_dice: 0.6888, decode.d7.loss_cls: 0.1932, decode.d7.loss_mask: 0.4524, decode.d7.loss_dice: 0.6927, decode.d8.loss_cls: 0.1957, decode.d8.loss_mask: 0.4522, decode.d8.loss_dice: 0.6908, loss: 14.8250, grad_norm: 69.4651 2023-11-22 16:06:40,662 - mmseg - INFO - Iter [115800/160000] lr: 2.631e-06, eta: 7:11:46, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2139, decode.loss_mask: 0.4574, decode.loss_dice: 0.6959, decode.d0.loss_cls: 1.2585, decode.d0.loss_mask: 0.4928, decode.d0.loss_dice: 0.7752, decode.d1.loss_cls: 0.2853, decode.d1.loss_mask: 0.4751, decode.d1.loss_dice: 0.7339, decode.d2.loss_cls: 0.2441, decode.d2.loss_mask: 0.4671, decode.d2.loss_dice: 0.7172, decode.d3.loss_cls: 0.2307, decode.d3.loss_mask: 0.4585, decode.d3.loss_dice: 0.7013, decode.d4.loss_cls: 0.2248, decode.d4.loss_mask: 0.4589, decode.d4.loss_dice: 0.7031, decode.d5.loss_cls: 0.2173, decode.d5.loss_mask: 0.4600, decode.d5.loss_dice: 0.7019, decode.d6.loss_cls: 0.2170, decode.d6.loss_mask: 0.4587, decode.d6.loss_dice: 0.6989, decode.d7.loss_cls: 0.2089, decode.d7.loss_mask: 0.4593, decode.d7.loss_dice: 0.6999, decode.d8.loss_cls: 0.2115, decode.d8.loss_mask: 0.4571, decode.d8.loss_dice: 0.6996, loss: 15.0838, grad_norm: 66.9883 2023-11-22 16:07:09,030 - mmseg - INFO - Iter [115850/160000] lr: 2.628e-06, eta: 7:11:16, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2028, decode.loss_mask: 0.4484, decode.loss_dice: 0.6923, decode.d0.loss_cls: 1.2612, decode.d0.loss_mask: 0.4847, decode.d0.loss_dice: 0.7712, decode.d1.loss_cls: 0.2795, decode.d1.loss_mask: 0.4668, decode.d1.loss_dice: 0.7331, decode.d2.loss_cls: 0.2302, decode.d2.loss_mask: 0.4575, decode.d2.loss_dice: 0.7131, decode.d3.loss_cls: 0.2131, decode.d3.loss_mask: 0.4543, decode.d3.loss_dice: 0.6974, decode.d4.loss_cls: 0.2045, decode.d4.loss_mask: 0.4507, decode.d4.loss_dice: 0.6987, decode.d5.loss_cls: 0.2011, decode.d5.loss_mask: 0.4495, decode.d5.loss_dice: 0.6994, decode.d6.loss_cls: 0.1984, decode.d6.loss_mask: 0.4496, decode.d6.loss_dice: 0.6942, decode.d7.loss_cls: 0.1994, decode.d7.loss_mask: 0.4495, decode.d7.loss_dice: 0.6915, decode.d8.loss_cls: 0.2005, decode.d8.loss_mask: 0.4491, decode.d8.loss_dice: 0.6975, loss: 14.8394, grad_norm: 71.9355 2023-11-22 16:07:37,386 - mmseg - INFO - Iter [115900/160000] lr: 2.625e-06, eta: 7:10:47, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1969, decode.loss_mask: 0.4474, decode.loss_dice: 0.6938, decode.d0.loss_cls: 1.3085, decode.d0.loss_mask: 0.4793, decode.d0.loss_dice: 0.7778, decode.d1.loss_cls: 0.2798, decode.d1.loss_mask: 0.4623, decode.d1.loss_dice: 0.7354, decode.d2.loss_cls: 0.2372, decode.d2.loss_mask: 0.4569, decode.d2.loss_dice: 0.7130, decode.d3.loss_cls: 0.2182, decode.d3.loss_mask: 0.4510, decode.d3.loss_dice: 0.6966, decode.d4.loss_cls: 0.2039, decode.d4.loss_mask: 0.4479, decode.d4.loss_dice: 0.7008, decode.d5.loss_cls: 0.2036, decode.d5.loss_mask: 0.4475, decode.d5.loss_dice: 0.6992, decode.d6.loss_cls: 0.1996, decode.d6.loss_mask: 0.4464, decode.d6.loss_dice: 0.6979, decode.d7.loss_cls: 0.1990, decode.d7.loss_mask: 0.4470, decode.d7.loss_dice: 0.6986, decode.d8.loss_cls: 0.1998, decode.d8.loss_mask: 0.4468, decode.d8.loss_dice: 0.6971, loss: 14.8891, grad_norm: 71.4884 2023-11-22 16:08:05,729 - mmseg - INFO - Iter [115950/160000] lr: 2.622e-06, eta: 7:10:17, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2014, decode.loss_mask: 0.4547, decode.loss_dice: 0.6958, decode.d0.loss_cls: 1.3159, decode.d0.loss_mask: 0.4880, decode.d0.loss_dice: 0.7719, decode.d1.loss_cls: 0.2788, decode.d1.loss_mask: 0.4717, decode.d1.loss_dice: 0.7313, decode.d2.loss_cls: 0.2406, decode.d2.loss_mask: 0.4641, decode.d2.loss_dice: 0.7120, decode.d3.loss_cls: 0.2182, decode.d3.loss_mask: 0.4600, decode.d3.loss_dice: 0.7007, decode.d4.loss_cls: 0.2176, decode.d4.loss_mask: 0.4585, decode.d4.loss_dice: 0.7011, decode.d5.loss_cls: 0.2107, decode.d5.loss_mask: 0.4554, decode.d5.loss_dice: 0.6977, decode.d6.loss_cls: 0.2113, decode.d6.loss_mask: 0.4549, decode.d6.loss_dice: 0.6950, decode.d7.loss_cls: 0.2109, decode.d7.loss_mask: 0.4542, decode.d7.loss_dice: 0.6946, decode.d8.loss_cls: 0.2077, decode.d8.loss_mask: 0.4555, decode.d8.loss_dice: 0.6950, loss: 15.0251, grad_norm: 68.1806 2023-11-22 16:08:34,154 - mmseg - INFO - Saving checkpoint at 116000 iterations 2023-11-22 16:08:42,204 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 16:08:42,205 - mmseg - INFO - Iter [116000/160000] lr: 2.619e-06, eta: 7:09:50, time: 0.730, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1823, decode.loss_mask: 0.4610, decode.loss_dice: 0.6884, decode.d0.loss_cls: 1.2830, decode.d0.loss_mask: 0.4929, decode.d0.loss_dice: 0.7572, decode.d1.loss_cls: 0.2594, decode.d1.loss_mask: 0.4823, decode.d1.loss_dice: 0.7281, decode.d2.loss_cls: 0.2199, decode.d2.loss_mask: 0.4708, decode.d2.loss_dice: 0.7082, decode.d3.loss_cls: 0.2001, decode.d3.loss_mask: 0.4668, decode.d3.loss_dice: 0.6920, decode.d4.loss_cls: 0.1939, decode.d4.loss_mask: 0.4639, decode.d4.loss_dice: 0.6903, decode.d5.loss_cls: 0.1869, decode.d5.loss_mask: 0.4636, decode.d5.loss_dice: 0.6882, decode.d6.loss_cls: 0.1860, decode.d6.loss_mask: 0.4641, decode.d6.loss_dice: 0.6863, decode.d7.loss_cls: 0.1842, decode.d7.loss_mask: 0.4621, decode.d7.loss_dice: 0.6861, decode.d8.loss_cls: 0.1824, decode.d8.loss_mask: 0.4615, decode.d8.loss_dice: 0.6874, loss: 14.7791, grad_norm: 70.8313 2023-11-22 16:09:01,498 - mmseg - INFO - per class results: 2023-11-22 16:09:01,503 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.45 | 88.36 | | building | 84.39 | 91.21 | | sky | 95.04 | 97.55 | | floor | 84.57 | 91.43 | | tree | 76.09 | 88.11 | | ceiling | 84.92 | 93.05 | | road | 87.18 | 91.31 | | bed | 91.05 | 95.23 | | windowpane | 65.31 | 81.5 | | grass | 69.32 | 79.95 | | cabinet | 63.74 | 75.91 | | sidewalk | 70.8 | 85.63 | | person | 86.37 | 93.89 | | earth | 42.23 | 59.97 | | door | 55.82 | 68.75 | | table | 69.56 | 83.34 | | mountain | 53.11 | 65.93 | | plant | 54.89 | 65.86 | | curtain | 76.26 | 87.65 | | chair | 66.34 | 79.38 | | car | 88.07 | 93.68 | | water | 62.31 | 76.93 | | painting | 79.72 | 89.45 | | sofa | 76.62 | 89.92 | | shelf | 43.94 | 63.39 | | house | 47.52 | 80.13 | | sea | 66.41 | 83.96 | | mirror | 75.13 | 82.41 | | rug | 68.19 | 81.43 | | field | 37.17 | 64.72 | | armchair | 55.44 | 72.78 | | seat | 60.91 | 86.31 | | fence | 53.07 | 68.46 | | desk | 60.64 | 79.63 | | rock | 48.26 | 65.21 | | wardrobe | 49.81 | 73.58 | | lamp | 73.06 | 82.56 | | bathtub | 76.01 | 87.55 | | railing | 38.52 | 53.53 | | cushion | 65.78 | 76.26 | | base | 33.45 | 53.45 | | box | 32.36 | 42.17 | | column | 54.54 | 71.61 | | signboard | 41.05 | 63.21 | | chest of drawers | 40.4 | 63.47 | | counter | 44.08 | 58.46 | | sand | 47.64 | 62.76 | | sink | 80.3 | 85.06 | | skyscraper | 62.95 | 78.92 | | fireplace | 69.49 | 91.69 | | refrigerator | 79.58 | 85.28 | | grandstand | 47.8 | 75.21 | | path | 24.92 | 38.43 | | stairs | 49.55 | 62.62 | | runway | 72.98 | 92.92 | | case | 60.89 | 75.03 | | pool table | 94.15 | 97.79 | | pillow | 62.67 | 74.27 | | screen door | 84.44 | 91.01 | | stairway | 40.75 | 47.51 | | river | 10.1 | 20.35 | | bridge | 80.58 | 91.3 | | bookcase | 33.22 | 56.75 | | blind | 42.83 | 47.79 | | coffee table | 70.78 | 86.1 | | toilet | 91.36 | 94.05 | | flower | 45.32 | 62.42 | | book | 52.23 | 76.05 | | hill | 7.94 | 12.85 | | bench | 54.16 | 61.1 | | countertop | 66.26 | 81.2 | | stove | 88.02 | 91.38 | | palm | 53.68 | 79.97 | | kitchen island | 53.42 | 79.14 | | computer | 73.72 | 81.43 | | swivel chair | 46.24 | 63.06 | | boat | 37.7 | 57.06 | | bar | 62.5 | 69.82 | | arcade machine | 89.08 | 95.34 | | hovel | 39.8 | 42.17 | | bus | 93.09 | 97.32 | | towel | 73.33 | 88.28 | | light | 65.95 | 80.57 | | truck | 35.8 | 48.34 | | tower | 42.47 | 72.78 | | chandelier | 71.98 | 88.34 | | awning | 41.43 | 51.97 | | streetlight | 49.04 | 66.17 | | booth | 51.34 | 69.06 | | television receiver | 79.63 | 88.49 | | airplane | 72.92 | 79.24 | | dirt track | 27.83 | 29.5 | | apparel | 52.65 | 72.51 | | pole | 38.81 | 58.74 | | land | 4.29 | 7.17 | | bannister | 19.35 | 31.74 | | escalator | 43.61 | 53.06 | | ottoman | 54.56 | 72.0 | | bottle | 29.94 | 67.12 | | buffet | 44.18 | 54.48 | | poster | 44.42 | 64.1 | | stage | 23.78 | 45.31 | | van | 46.08 | 76.78 | | ship | 10.0 | 14.25 | | fountain | 21.55 | 21.93 | | conveyer belt | 61.16 | 90.68 | | canopy | 28.87 | 52.03 | | washer | 71.78 | 74.14 | | plaything | 42.22 | 53.92 | | swimming pool | 71.05 | 72.81 | | stool | 55.8 | 78.31 | | barrel | 55.07 | 98.11 | | basket | 46.01 | 59.12 | | waterfall | 79.19 | 89.58 | | tent | 96.19 | 98.4 | | bag | 24.08 | 33.8 | | minibike | 72.04 | 90.96 | | cradle | 90.75 | 97.28 | | oven | 24.96 | 70.47 | | ball | 39.39 | 44.94 | | food | 63.28 | 75.78 | | step | 30.07 | 44.39 | | tank | 63.79 | 66.24 | | trade name | 28.48 | 35.15 | | microwave | 42.17 | 46.42 | | pot | 56.15 | 67.73 | | animal | 64.11 | 65.59 | | bicycle | 62.89 | 80.7 | | lake | 58.26 | 63.71 | | dishwasher | 81.51 | 88.93 | | screen | 55.72 | 90.19 | | blanket | 34.06 | 42.97 | | sculpture | 58.63 | 89.5 | | hood | 64.91 | 77.29 | | sconce | 60.73 | 75.61 | | vase | 53.8 | 76.17 | | traffic light | 45.7 | 66.4 | | tray | 21.31 | 35.49 | | ashcan | 55.6 | 76.45 | | fan | 69.86 | 86.6 | | pier | 14.14 | 14.72 | | crt screen | 4.29 | 13.6 | | plate | 63.92 | 83.05 | | monitor | 8.96 | 11.82 | | bulletin board | 48.38 | 78.65 | | shower | 21.88 | 25.0 | | radiator | 74.51 | 87.62 | | glass | 24.02 | 26.1 | | clock | 54.68 | 68.48 | | flag | 74.27 | 83.57 | +---------------------+-------+-------+ 2023-11-22 16:09:01,503 - mmseg - INFO - Summary: 2023-11-22 16:09:01,504 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 85.2 | 55.76 | 69.49 | +------+-------+-------+ 2023-11-22 16:09:01,505 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 16:09:01,505 - mmseg - INFO - Iter(val) [250] aAcc: 0.8520, mIoU: 0.5576, mAcc: 0.6949, IoU.wall: 0.8045, IoU.building: 0.8439, IoU.sky: 0.9504, IoU.floor: 0.8457, IoU.tree: 0.7609, IoU.ceiling: 0.8492, IoU.road: 0.8718, IoU.bed : 0.9105, IoU.windowpane: 0.6531, IoU.grass: 0.6932, IoU.cabinet: 0.6374, IoU.sidewalk: 0.7080, IoU.person: 0.8637, IoU.earth: 0.4223, IoU.door: 0.5582, IoU.table: 0.6956, IoU.mountain: 0.5311, IoU.plant: 0.5489, IoU.curtain: 0.7626, IoU.chair: 0.6634, IoU.car: 0.8807, IoU.water: 0.6231, IoU.painting: 0.7972, IoU.sofa: 0.7662, IoU.shelf: 0.4394, IoU.house: 0.4752, IoU.sea: 0.6641, IoU.mirror: 0.7513, IoU.rug: 0.6819, IoU.field: 0.3717, IoU.armchair: 0.5544, IoU.seat: 0.6091, IoU.fence: 0.5307, IoU.desk: 0.6064, IoU.rock: 0.4826, IoU.wardrobe: 0.4981, IoU.lamp: 0.7306, IoU.bathtub: 0.7601, IoU.railing: 0.3852, IoU.cushion: 0.6578, IoU.base: 0.3345, IoU.box: 0.3236, IoU.column: 0.5454, IoU.signboard: 0.4105, IoU.chest of drawers: 0.4040, IoU.counter: 0.4408, IoU.sand: 0.4764, IoU.sink: 0.8030, IoU.skyscraper: 0.6295, IoU.fireplace: 0.6949, IoU.refrigerator: 0.7958, IoU.grandstand: 0.4780, IoU.path: 0.2492, IoU.stairs: 0.4955, IoU.runway: 0.7298, IoU.case: 0.6089, IoU.pool table: 0.9415, IoU.pillow: 0.6267, IoU.screen door: 0.8444, IoU.stairway: 0.4075, IoU.river: 0.1010, IoU.bridge: 0.8058, IoU.bookcase: 0.3322, IoU.blind: 0.4283, IoU.coffee table: 0.7078, IoU.toilet: 0.9136, IoU.flower: 0.4532, IoU.book: 0.5223, IoU.hill: 0.0794, IoU.bench: 0.5416, IoU.countertop: 0.6626, IoU.stove: 0.8802, IoU.palm: 0.5368, IoU.kitchen island: 0.5342, IoU.computer: 0.7372, IoU.swivel chair: 0.4624, IoU.boat: 0.3770, IoU.bar: 0.6250, IoU.arcade machine: 0.8908, IoU.hovel: 0.3980, IoU.bus: 0.9309, IoU.towel: 0.7333, IoU.light: 0.6595, IoU.truck: 0.3580, IoU.tower: 0.4247, IoU.chandelier: 0.7198, IoU.awning: 0.4143, IoU.streetlight: 0.4904, IoU.booth: 0.5134, IoU.television receiver: 0.7963, IoU.airplane: 0.7292, IoU.dirt track: 0.2783, IoU.apparel: 0.5265, IoU.pole: 0.3881, IoU.land: 0.0429, IoU.bannister: 0.1935, IoU.escalator: 0.4361, IoU.ottoman: 0.5456, IoU.bottle: 0.2994, IoU.buffet: 0.4418, IoU.poster: 0.4442, IoU.stage: 0.2378, IoU.van: 0.4608, IoU.ship: 0.1000, IoU.fountain: 0.2155, IoU.conveyer belt: 0.6116, IoU.canopy: 0.2887, IoU.washer: 0.7178, IoU.plaything: 0.4222, IoU.swimming pool: 0.7105, IoU.stool: 0.5580, IoU.barrel: 0.5507, IoU.basket: 0.4601, IoU.waterfall: 0.7919, IoU.tent: 0.9619, IoU.bag: 0.2408, IoU.minibike: 0.7204, IoU.cradle: 0.9075, IoU.oven: 0.2496, IoU.ball: 0.3939, IoU.food: 0.6328, IoU.step: 0.3007, IoU.tank: 0.6379, IoU.trade name: 0.2848, IoU.microwave: 0.4217, IoU.pot: 0.5615, IoU.animal: 0.6411, IoU.bicycle: 0.6289, IoU.lake: 0.5826, IoU.dishwasher: 0.8151, IoU.screen: 0.5572, IoU.blanket: 0.3406, IoU.sculpture: 0.5863, IoU.hood: 0.6491, IoU.sconce: 0.6073, IoU.vase: 0.5380, IoU.traffic light: 0.4570, IoU.tray: 0.2131, IoU.ashcan: 0.5560, IoU.fan: 0.6986, IoU.pier: 0.1414, IoU.crt screen: 0.0429, IoU.plate: 0.6392, IoU.monitor: 0.0896, IoU.bulletin board: 0.4838, IoU.shower: 0.2188, IoU.radiator: 0.7451, IoU.glass: 0.2402, IoU.clock: 0.5468, IoU.flag: 0.7427, Acc.wall: 0.8836, Acc.building: 0.9121, Acc.sky: 0.9755, Acc.floor: 0.9143, Acc.tree: 0.8811, Acc.ceiling: 0.9305, Acc.road: 0.9131, Acc.bed : 0.9523, Acc.windowpane: 0.8150, Acc.grass: 0.7995, Acc.cabinet: 0.7591, Acc.sidewalk: 0.8563, Acc.person: 0.9389, Acc.earth: 0.5997, Acc.door: 0.6875, Acc.table: 0.8334, Acc.mountain: 0.6593, Acc.plant: 0.6586, Acc.curtain: 0.8765, Acc.chair: 0.7938, Acc.car: 0.9368, Acc.water: 0.7693, Acc.painting: 0.8945, Acc.sofa: 0.8992, Acc.shelf: 0.6339, Acc.house: 0.8013, Acc.sea: 0.8396, Acc.mirror: 0.8241, Acc.rug: 0.8143, Acc.field: 0.6472, Acc.armchair: 0.7278, Acc.seat: 0.8631, Acc.fence: 0.6846, Acc.desk: 0.7963, Acc.rock: 0.6521, Acc.wardrobe: 0.7358, Acc.lamp: 0.8256, Acc.bathtub: 0.8755, Acc.railing: 0.5353, Acc.cushion: 0.7626, Acc.base: 0.5345, Acc.box: 0.4217, Acc.column: 0.7161, Acc.signboard: 0.6321, Acc.chest of drawers: 0.6347, Acc.counter: 0.5846, Acc.sand: 0.6276, Acc.sink: 0.8506, Acc.skyscraper: 0.7892, Acc.fireplace: 0.9169, Acc.refrigerator: 0.8528, Acc.grandstand: 0.7521, Acc.path: 0.3843, Acc.stairs: 0.6262, Acc.runway: 0.9292, Acc.case: 0.7503, Acc.pool table: 0.9779, Acc.pillow: 0.7427, Acc.screen door: 0.9101, Acc.stairway: 0.4751, Acc.river: 0.2035, Acc.bridge: 0.9130, Acc.bookcase: 0.5675, Acc.blind: 0.4779, Acc.coffee table: 0.8610, Acc.toilet: 0.9405, Acc.flower: 0.6242, Acc.book: 0.7605, Acc.hill: 0.1285, Acc.bench: 0.6110, Acc.countertop: 0.8120, Acc.stove: 0.9138, Acc.palm: 0.7997, Acc.kitchen island: 0.7914, Acc.computer: 0.8143, Acc.swivel chair: 0.6306, Acc.boat: 0.5706, Acc.bar: 0.6982, Acc.arcade machine: 0.9534, Acc.hovel: 0.4217, Acc.bus: 0.9732, Acc.towel: 0.8828, Acc.light: 0.8057, Acc.truck: 0.4834, Acc.tower: 0.7278, Acc.chandelier: 0.8834, Acc.awning: 0.5197, Acc.streetlight: 0.6617, Acc.booth: 0.6906, Acc.television receiver: 0.8849, Acc.airplane: 0.7924, Acc.dirt track: 0.2950, Acc.apparel: 0.7251, Acc.pole: 0.5874, Acc.land: 0.0717, Acc.bannister: 0.3174, Acc.escalator: 0.5306, Acc.ottoman: 0.7200, Acc.bottle: 0.6712, Acc.buffet: 0.5448, Acc.poster: 0.6410, Acc.stage: 0.4531, Acc.van: 0.7678, Acc.ship: 0.1425, Acc.fountain: 0.2193, Acc.conveyer belt: 0.9068, Acc.canopy: 0.5203, Acc.washer: 0.7414, Acc.plaything: 0.5392, Acc.swimming pool: 0.7281, Acc.stool: 0.7831, Acc.barrel: 0.9811, Acc.basket: 0.5912, Acc.waterfall: 0.8958, Acc.tent: 0.9840, Acc.bag: 0.3380, Acc.minibike: 0.9096, Acc.cradle: 0.9728, Acc.oven: 0.7047, Acc.ball: 0.4494, Acc.food: 0.7578, Acc.step: 0.4439, Acc.tank: 0.6624, Acc.trade name: 0.3515, Acc.microwave: 0.4642, Acc.pot: 0.6773, Acc.animal: 0.6559, Acc.bicycle: 0.8070, Acc.lake: 0.6371, Acc.dishwasher: 0.8893, Acc.screen: 0.9019, Acc.blanket: 0.4297, Acc.sculpture: 0.8950, Acc.hood: 0.7729, Acc.sconce: 0.7561, Acc.vase: 0.7617, Acc.traffic light: 0.6640, Acc.tray: 0.3549, Acc.ashcan: 0.7645, Acc.fan: 0.8660, Acc.pier: 0.1472, Acc.crt screen: 0.1360, Acc.plate: 0.8305, Acc.monitor: 0.1182, Acc.bulletin board: 0.7865, Acc.shower: 0.2500, Acc.radiator: 0.8762, Acc.glass: 0.2610, Acc.clock: 0.6848, Acc.flag: 0.8357 2023-11-22 16:09:30,153 - mmseg - INFO - Iter [116050/160000] lr: 2.616e-06, eta: 7:09:28, time: 0.959, data_time: 0.399, memory: 38143, decode.loss_cls: 0.2119, decode.loss_mask: 0.4773, decode.loss_dice: 0.7124, decode.d0.loss_cls: 1.3149, decode.d0.loss_mask: 0.5150, decode.d0.loss_dice: 0.7952, decode.d1.loss_cls: 0.2878, decode.d1.loss_mask: 0.4970, decode.d1.loss_dice: 0.7511, decode.d2.loss_cls: 0.2430, decode.d2.loss_mask: 0.4853, decode.d2.loss_dice: 0.7276, decode.d3.loss_cls: 0.2299, decode.d3.loss_mask: 0.4809, decode.d3.loss_dice: 0.7190, decode.d4.loss_cls: 0.2174, decode.d4.loss_mask: 0.4810, decode.d4.loss_dice: 0.7173, decode.d5.loss_cls: 0.2102, decode.d5.loss_mask: 0.4790, decode.d5.loss_dice: 0.7147, decode.d6.loss_cls: 0.2100, decode.d6.loss_mask: 0.4797, decode.d6.loss_dice: 0.7150, decode.d7.loss_cls: 0.2095, decode.d7.loss_mask: 0.4785, decode.d7.loss_dice: 0.7149, decode.d8.loss_cls: 0.2111, decode.d8.loss_mask: 0.4791, decode.d8.loss_dice: 0.7114, loss: 15.4773, grad_norm: 75.9767 2023-11-22 16:09:58,789 - mmseg - INFO - Iter [116100/160000] lr: 2.613e-06, eta: 7:08:59, time: 0.573, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2002, decode.loss_mask: 0.4570, decode.loss_dice: 0.6820, decode.d0.loss_cls: 1.2890, decode.d0.loss_mask: 0.4879, decode.d0.loss_dice: 0.7633, decode.d1.loss_cls: 0.2826, decode.d1.loss_mask: 0.4721, decode.d1.loss_dice: 0.7140, decode.d2.loss_cls: 0.2286, decode.d2.loss_mask: 0.4675, decode.d2.loss_dice: 0.6980, decode.d3.loss_cls: 0.2161, decode.d3.loss_mask: 0.4633, decode.d3.loss_dice: 0.6859, decode.d4.loss_cls: 0.2098, decode.d4.loss_mask: 0.4624, decode.d4.loss_dice: 0.6847, decode.d5.loss_cls: 0.2025, decode.d5.loss_mask: 0.4606, decode.d5.loss_dice: 0.6847, decode.d6.loss_cls: 0.2032, decode.d6.loss_mask: 0.4597, decode.d6.loss_dice: 0.6784, decode.d7.loss_cls: 0.1982, decode.d7.loss_mask: 0.4580, decode.d7.loss_dice: 0.6788, decode.d8.loss_cls: 0.2015, decode.d8.loss_mask: 0.4582, decode.d8.loss_dice: 0.6823, loss: 14.8303, grad_norm: 66.3316 2023-11-22 16:10:27,095 - mmseg - INFO - Iter [116150/160000] lr: 2.610e-06, eta: 7:08:29, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2112, decode.loss_mask: 0.4544, decode.loss_dice: 0.7038, decode.d0.loss_cls: 1.3075, decode.d0.loss_mask: 0.4900, decode.d0.loss_dice: 0.7976, decode.d1.loss_cls: 0.2891, decode.d1.loss_mask: 0.4751, decode.d1.loss_dice: 0.7508, decode.d2.loss_cls: 0.2460, decode.d2.loss_mask: 0.4655, decode.d2.loss_dice: 0.7270, decode.d3.loss_cls: 0.2273, decode.d3.loss_mask: 0.4593, decode.d3.loss_dice: 0.7124, decode.d4.loss_cls: 0.2181, decode.d4.loss_mask: 0.4593, decode.d4.loss_dice: 0.7109, decode.d5.loss_cls: 0.2204, decode.d5.loss_mask: 0.4567, decode.d5.loss_dice: 0.7026, decode.d6.loss_cls: 0.2170, decode.d6.loss_mask: 0.4538, decode.d6.loss_dice: 0.6999, decode.d7.loss_cls: 0.2100, decode.d7.loss_mask: 0.4547, decode.d7.loss_dice: 0.7010, decode.d8.loss_cls: 0.2086, decode.d8.loss_mask: 0.4541, decode.d8.loss_dice: 0.7038, loss: 15.1881, grad_norm: 67.5651 2023-11-22 16:10:57,854 - mmseg - INFO - Iter [116200/160000] lr: 2.607e-06, eta: 7:08:00, time: 0.615, data_time: 0.060, memory: 38143, decode.loss_cls: 0.1913, decode.loss_mask: 0.4485, decode.loss_dice: 0.6706, decode.d0.loss_cls: 1.2922, decode.d0.loss_mask: 0.4740, decode.d0.loss_dice: 0.7456, decode.d1.loss_cls: 0.2694, decode.d1.loss_mask: 0.4629, decode.d1.loss_dice: 0.7031, decode.d2.loss_cls: 0.2233, decode.d2.loss_mask: 0.4533, decode.d2.loss_dice: 0.6855, decode.d3.loss_cls: 0.2053, decode.d3.loss_mask: 0.4525, decode.d3.loss_dice: 0.6741, decode.d4.loss_cls: 0.2095, decode.d4.loss_mask: 0.4499, decode.d4.loss_dice: 0.6713, decode.d5.loss_cls: 0.1999, decode.d5.loss_mask: 0.4495, decode.d5.loss_dice: 0.6752, decode.d6.loss_cls: 0.1986, decode.d6.loss_mask: 0.4475, decode.d6.loss_dice: 0.6696, decode.d7.loss_cls: 0.1934, decode.d7.loss_mask: 0.4479, decode.d7.loss_dice: 0.6708, decode.d8.loss_cls: 0.1931, decode.d8.loss_mask: 0.4477, decode.d8.loss_dice: 0.6722, loss: 14.5477, grad_norm: 62.7774 2023-11-22 16:11:26,081 - mmseg - INFO - Iter [116250/160000] lr: 2.605e-06, eta: 7:07:30, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1842, decode.loss_mask: 0.4440, decode.loss_dice: 0.6808, decode.d0.loss_cls: 1.2652, decode.d0.loss_mask: 0.4757, decode.d0.loss_dice: 0.7495, decode.d1.loss_cls: 0.2574, decode.d1.loss_mask: 0.4632, decode.d1.loss_dice: 0.7134, decode.d2.loss_cls: 0.2103, decode.d2.loss_mask: 0.4567, decode.d2.loss_dice: 0.6953, decode.d3.loss_cls: 0.1988, decode.d3.loss_mask: 0.4491, decode.d3.loss_dice: 0.6821, decode.d4.loss_cls: 0.1946, decode.d4.loss_mask: 0.4484, decode.d4.loss_dice: 0.6847, decode.d5.loss_cls: 0.1919, decode.d5.loss_mask: 0.4491, decode.d5.loss_dice: 0.6805, decode.d6.loss_cls: 0.1878, decode.d6.loss_mask: 0.4469, decode.d6.loss_dice: 0.6802, decode.d7.loss_cls: 0.1851, decode.d7.loss_mask: 0.4467, decode.d7.loss_dice: 0.6759, decode.d8.loss_cls: 0.1813, decode.d8.loss_mask: 0.4467, decode.d8.loss_dice: 0.6772, loss: 14.5029, grad_norm: 68.8953 2023-11-22 16:11:54,572 - mmseg - INFO - Iter [116300/160000] lr: 2.602e-06, eta: 7:07:01, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1795, decode.loss_mask: 0.4615, decode.loss_dice: 0.6883, decode.d0.loss_cls: 1.2814, decode.d0.loss_mask: 0.4961, decode.d0.loss_dice: 0.7601, decode.d1.loss_cls: 0.2629, decode.d1.loss_mask: 0.4754, decode.d1.loss_dice: 0.7262, decode.d2.loss_cls: 0.2203, decode.d2.loss_mask: 0.4661, decode.d2.loss_dice: 0.7083, decode.d3.loss_cls: 0.2007, decode.d3.loss_mask: 0.4637, decode.d3.loss_dice: 0.6947, decode.d4.loss_cls: 0.1960, decode.d4.loss_mask: 0.4616, decode.d4.loss_dice: 0.6925, decode.d5.loss_cls: 0.1914, decode.d5.loss_mask: 0.4617, decode.d5.loss_dice: 0.6903, decode.d6.loss_cls: 0.1918, decode.d6.loss_mask: 0.4606, decode.d6.loss_dice: 0.6868, decode.d7.loss_cls: 0.1794, decode.d7.loss_mask: 0.4610, decode.d7.loss_dice: 0.6895, decode.d8.loss_cls: 0.1791, decode.d8.loss_mask: 0.4617, decode.d8.loss_dice: 0.6877, loss: 14.7762, grad_norm: 66.3531 2023-11-22 16:12:23,210 - mmseg - INFO - Iter [116350/160000] lr: 2.599e-06, eta: 7:06:31, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1893, decode.loss_mask: 0.4619, decode.loss_dice: 0.7067, decode.d0.loss_cls: 1.2830, decode.d0.loss_mask: 0.4923, decode.d0.loss_dice: 0.7799, decode.d1.loss_cls: 0.2711, decode.d1.loss_mask: 0.4825, decode.d1.loss_dice: 0.7375, decode.d2.loss_cls: 0.2235, decode.d2.loss_mask: 0.4720, decode.d2.loss_dice: 0.7250, decode.d3.loss_cls: 0.2035, decode.d3.loss_mask: 0.4668, decode.d3.loss_dice: 0.7066, decode.d4.loss_cls: 0.1992, decode.d4.loss_mask: 0.4664, decode.d4.loss_dice: 0.7062, decode.d5.loss_cls: 0.1988, decode.d5.loss_mask: 0.4643, decode.d5.loss_dice: 0.7075, decode.d6.loss_cls: 0.1886, decode.d6.loss_mask: 0.4638, decode.d6.loss_dice: 0.7043, decode.d7.loss_cls: 0.1912, decode.d7.loss_mask: 0.4642, decode.d7.loss_dice: 0.7065, decode.d8.loss_cls: 0.1919, decode.d8.loss_mask: 0.4617, decode.d8.loss_dice: 0.7037, loss: 15.0199, grad_norm: 69.3437 2023-11-22 16:12:51,634 - mmseg - INFO - Iter [116400/160000] lr: 2.596e-06, eta: 7:06:02, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1911, decode.loss_mask: 0.4514, decode.loss_dice: 0.6847, decode.d0.loss_cls: 1.2995, decode.d0.loss_mask: 0.4869, decode.d0.loss_dice: 0.7730, decode.d1.loss_cls: 0.2784, decode.d1.loss_mask: 0.4685, decode.d1.loss_dice: 0.7215, decode.d2.loss_cls: 0.2258, decode.d2.loss_mask: 0.4602, decode.d2.loss_dice: 0.7102, decode.d3.loss_cls: 0.2111, decode.d3.loss_mask: 0.4530, decode.d3.loss_dice: 0.6932, decode.d4.loss_cls: 0.2016, decode.d4.loss_mask: 0.4532, decode.d4.loss_dice: 0.6955, decode.d5.loss_cls: 0.1981, decode.d5.loss_mask: 0.4515, decode.d5.loss_dice: 0.6922, decode.d6.loss_cls: 0.1946, decode.d6.loss_mask: 0.4507, decode.d6.loss_dice: 0.6882, decode.d7.loss_cls: 0.1889, decode.d7.loss_mask: 0.4512, decode.d7.loss_dice: 0.6895, decode.d8.loss_cls: 0.1895, decode.d8.loss_mask: 0.4506, decode.d8.loss_dice: 0.6900, loss: 14.7938, grad_norm: 66.6905 2023-11-22 16:13:19,869 - mmseg - INFO - Iter [116450/160000] lr: 2.593e-06, eta: 7:05:32, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1906, decode.loss_mask: 0.4704, decode.loss_dice: 0.6679, decode.d0.loss_cls: 1.2503, decode.d0.loss_mask: 0.5015, decode.d0.loss_dice: 0.7352, decode.d1.loss_cls: 0.2667, decode.d1.loss_mask: 0.4832, decode.d1.loss_dice: 0.6981, decode.d2.loss_cls: 0.2230, decode.d2.loss_mask: 0.4766, decode.d2.loss_dice: 0.6794, decode.d3.loss_cls: 0.2083, decode.d3.loss_mask: 0.4706, decode.d3.loss_dice: 0.6714, decode.d4.loss_cls: 0.2025, decode.d4.loss_mask: 0.4702, decode.d4.loss_dice: 0.6698, decode.d5.loss_cls: 0.1992, decode.d5.loss_mask: 0.4694, decode.d5.loss_dice: 0.6658, decode.d6.loss_cls: 0.1958, decode.d6.loss_mask: 0.4703, decode.d6.loss_dice: 0.6643, decode.d7.loss_cls: 0.1895, decode.d7.loss_mask: 0.4701, decode.d7.loss_dice: 0.6687, decode.d8.loss_cls: 0.1912, decode.d8.loss_mask: 0.4708, decode.d8.loss_dice: 0.6660, loss: 14.6568, grad_norm: 65.2925 2023-11-22 16:13:48,124 - mmseg - INFO - Iter [116500/160000] lr: 2.590e-06, eta: 7:05:02, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2003, decode.loss_mask: 0.4651, decode.loss_dice: 0.6978, decode.d0.loss_cls: 1.3204, decode.d0.loss_mask: 0.5022, decode.d0.loss_dice: 0.7747, decode.d1.loss_cls: 0.2855, decode.d1.loss_mask: 0.4821, decode.d1.loss_dice: 0.7361, decode.d2.loss_cls: 0.2447, decode.d2.loss_mask: 0.4739, decode.d2.loss_dice: 0.7172, decode.d3.loss_cls: 0.2173, decode.d3.loss_mask: 0.4697, decode.d3.loss_dice: 0.7072, decode.d4.loss_cls: 0.2158, decode.d4.loss_mask: 0.4665, decode.d4.loss_dice: 0.7028, decode.d5.loss_cls: 0.2095, decode.d5.loss_mask: 0.4657, decode.d5.loss_dice: 0.7019, decode.d6.loss_cls: 0.2087, decode.d6.loss_mask: 0.4653, decode.d6.loss_dice: 0.6996, decode.d7.loss_cls: 0.2054, decode.d7.loss_mask: 0.4659, decode.d7.loss_dice: 0.7005, decode.d8.loss_cls: 0.1997, decode.d8.loss_mask: 0.4663, decode.d8.loss_dice: 0.6970, loss: 15.1648, grad_norm: 66.1038 2023-11-22 16:14:16,593 - mmseg - INFO - Iter [116550/160000] lr: 2.587e-06, eta: 7:04:33, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2035, decode.loss_mask: 0.4541, decode.loss_dice: 0.6969, decode.d0.loss_cls: 1.3086, decode.d0.loss_mask: 0.4883, decode.d0.loss_dice: 0.7754, decode.d1.loss_cls: 0.2821, decode.d1.loss_mask: 0.4713, decode.d1.loss_dice: 0.7358, decode.d2.loss_cls: 0.2423, decode.d2.loss_mask: 0.4615, decode.d2.loss_dice: 0.7152, decode.d3.loss_cls: 0.2226, decode.d3.loss_mask: 0.4576, decode.d3.loss_dice: 0.7046, decode.d4.loss_cls: 0.2165, decode.d4.loss_mask: 0.4570, decode.d4.loss_dice: 0.7025, decode.d5.loss_cls: 0.2100, decode.d5.loss_mask: 0.4564, decode.d5.loss_dice: 0.7021, decode.d6.loss_cls: 0.2081, decode.d6.loss_mask: 0.4557, decode.d6.loss_dice: 0.6961, decode.d7.loss_cls: 0.2056, decode.d7.loss_mask: 0.4563, decode.d7.loss_dice: 0.6970, decode.d8.loss_cls: 0.2021, decode.d8.loss_mask: 0.4553, decode.d8.loss_dice: 0.6984, loss: 15.0388, grad_norm: 67.0858 2023-11-22 16:14:44,880 - mmseg - INFO - Iter [116600/160000] lr: 2.584e-06, eta: 7:04:03, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1897, decode.loss_mask: 0.4379, decode.loss_dice: 0.6799, decode.d0.loss_cls: 1.2879, decode.d0.loss_mask: 0.4724, decode.d0.loss_dice: 0.7541, decode.d1.loss_cls: 0.2696, decode.d1.loss_mask: 0.4541, decode.d1.loss_dice: 0.7151, decode.d2.loss_cls: 0.2214, decode.d2.loss_mask: 0.4459, decode.d2.loss_dice: 0.6994, decode.d3.loss_cls: 0.2079, decode.d3.loss_mask: 0.4432, decode.d3.loss_dice: 0.6823, decode.d4.loss_cls: 0.2023, decode.d4.loss_mask: 0.4398, decode.d4.loss_dice: 0.6844, decode.d5.loss_cls: 0.1957, decode.d5.loss_mask: 0.4401, decode.d5.loss_dice: 0.6842, decode.d6.loss_cls: 0.1939, decode.d6.loss_mask: 0.4409, decode.d6.loss_dice: 0.6835, decode.d7.loss_cls: 0.1967, decode.d7.loss_mask: 0.4385, decode.d7.loss_dice: 0.6778, decode.d8.loss_cls: 0.1902, decode.d8.loss_mask: 0.4372, decode.d8.loss_dice: 0.6791, loss: 14.5451, grad_norm: 65.2015 2023-11-22 16:15:13,719 - mmseg - INFO - Iter [116650/160000] lr: 2.581e-06, eta: 7:03:33, time: 0.577, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1944, decode.loss_mask: 0.4632, decode.loss_dice: 0.6839, decode.d0.loss_cls: 1.2782, decode.d0.loss_mask: 0.4971, decode.d0.loss_dice: 0.7563, decode.d1.loss_cls: 0.2791, decode.d1.loss_mask: 0.4812, decode.d1.loss_dice: 0.7178, decode.d2.loss_cls: 0.2256, decode.d2.loss_mask: 0.4765, decode.d2.loss_dice: 0.7065, decode.d3.loss_cls: 0.2111, decode.d3.loss_mask: 0.4706, decode.d3.loss_dice: 0.6910, decode.d4.loss_cls: 0.2031, decode.d4.loss_mask: 0.4698, decode.d4.loss_dice: 0.6910, decode.d5.loss_cls: 0.1996, decode.d5.loss_mask: 0.4670, decode.d5.loss_dice: 0.6905, decode.d6.loss_cls: 0.2010, decode.d6.loss_mask: 0.4638, decode.d6.loss_dice: 0.6847, decode.d7.loss_cls: 0.1983, decode.d7.loss_mask: 0.4648, decode.d7.loss_dice: 0.6842, decode.d8.loss_cls: 0.1992, decode.d8.loss_mask: 0.4642, decode.d8.loss_dice: 0.6808, loss: 14.8944, grad_norm: 66.9866 2023-11-22 16:15:42,157 - mmseg - INFO - Iter [116700/160000] lr: 2.578e-06, eta: 7:03:04, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1891, decode.loss_mask: 0.4508, decode.loss_dice: 0.6921, decode.d0.loss_cls: 1.3096, decode.d0.loss_mask: 0.4902, decode.d0.loss_dice: 0.7744, decode.d1.loss_cls: 0.2771, decode.d1.loss_mask: 0.4695, decode.d1.loss_dice: 0.7369, decode.d2.loss_cls: 0.2219, decode.d2.loss_mask: 0.4601, decode.d2.loss_dice: 0.7166, decode.d3.loss_cls: 0.2085, decode.d3.loss_mask: 0.4556, decode.d3.loss_dice: 0.6988, decode.d4.loss_cls: 0.2051, decode.d4.loss_mask: 0.4527, decode.d4.loss_dice: 0.6972, decode.d5.loss_cls: 0.2010, decode.d5.loss_mask: 0.4532, decode.d5.loss_dice: 0.6979, decode.d6.loss_cls: 0.1968, decode.d6.loss_mask: 0.4498, decode.d6.loss_dice: 0.6950, decode.d7.loss_cls: 0.1882, decode.d7.loss_mask: 0.4520, decode.d7.loss_dice: 0.6938, decode.d8.loss_cls: 0.1925, decode.d8.loss_mask: 0.4513, decode.d8.loss_dice: 0.6917, loss: 14.8693, grad_norm: 65.5179 2023-11-22 16:16:10,432 - mmseg - INFO - Iter [116750/160000] lr: 2.575e-06, eta: 7:02:34, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1947, decode.loss_mask: 0.4611, decode.loss_dice: 0.6694, decode.d0.loss_cls: 1.2725, decode.d0.loss_mask: 0.4960, decode.d0.loss_dice: 0.7383, decode.d1.loss_cls: 0.2719, decode.d1.loss_mask: 0.4813, decode.d1.loss_dice: 0.6996, decode.d2.loss_cls: 0.2296, decode.d2.loss_mask: 0.4692, decode.d2.loss_dice: 0.6860, decode.d3.loss_cls: 0.2135, decode.d3.loss_mask: 0.4657, decode.d3.loss_dice: 0.6759, decode.d4.loss_cls: 0.2098, decode.d4.loss_mask: 0.4640, decode.d4.loss_dice: 0.6723, decode.d5.loss_cls: 0.2013, decode.d5.loss_mask: 0.4639, decode.d5.loss_dice: 0.6743, decode.d6.loss_cls: 0.2009, decode.d6.loss_mask: 0.4619, decode.d6.loss_dice: 0.6672, decode.d7.loss_cls: 0.1981, decode.d7.loss_mask: 0.4603, decode.d7.loss_dice: 0.6683, decode.d8.loss_cls: 0.1931, decode.d8.loss_mask: 0.4601, decode.d8.loss_dice: 0.6687, loss: 14.6890, grad_norm: 70.7738 2023-11-22 16:16:38,609 - mmseg - INFO - Iter [116800/160000] lr: 2.572e-06, eta: 7:02:04, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1852, decode.loss_mask: 0.4419, decode.loss_dice: 0.6746, decode.d0.loss_cls: 1.2853, decode.d0.loss_mask: 0.4742, decode.d0.loss_dice: 0.7530, decode.d1.loss_cls: 0.2685, decode.d1.loss_mask: 0.4605, decode.d1.loss_dice: 0.7096, decode.d2.loss_cls: 0.2189, decode.d2.loss_mask: 0.4496, decode.d2.loss_dice: 0.6985, decode.d3.loss_cls: 0.2040, decode.d3.loss_mask: 0.4465, decode.d3.loss_dice: 0.6851, decode.d4.loss_cls: 0.1982, decode.d4.loss_mask: 0.4451, decode.d4.loss_dice: 0.6787, decode.d5.loss_cls: 0.1927, decode.d5.loss_mask: 0.4443, decode.d5.loss_dice: 0.6809, decode.d6.loss_cls: 0.1874, decode.d6.loss_mask: 0.4433, decode.d6.loss_dice: 0.6791, decode.d7.loss_cls: 0.1888, decode.d7.loss_mask: 0.4417, decode.d7.loss_dice: 0.6755, decode.d8.loss_cls: 0.1908, decode.d8.loss_mask: 0.4413, decode.d8.loss_dice: 0.6758, loss: 14.5191, grad_norm: 65.5104 2023-11-22 16:17:06,869 - mmseg - INFO - Iter [116850/160000] lr: 2.569e-06, eta: 7:01:35, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2035, decode.loss_mask: 0.4562, decode.loss_dice: 0.6941, decode.d0.loss_cls: 1.2865, decode.d0.loss_mask: 0.4957, decode.d0.loss_dice: 0.7804, decode.d1.loss_cls: 0.2873, decode.d1.loss_mask: 0.4772, decode.d1.loss_dice: 0.7374, decode.d2.loss_cls: 0.2397, decode.d2.loss_mask: 0.4654, decode.d2.loss_dice: 0.7147, decode.d3.loss_cls: 0.2243, decode.d3.loss_mask: 0.4617, decode.d3.loss_dice: 0.6971, decode.d4.loss_cls: 0.2160, decode.d4.loss_mask: 0.4623, decode.d4.loss_dice: 0.6969, decode.d5.loss_cls: 0.2149, decode.d5.loss_mask: 0.4602, decode.d5.loss_dice: 0.6931, decode.d6.loss_cls: 0.2148, decode.d6.loss_mask: 0.4602, decode.d6.loss_dice: 0.6892, decode.d7.loss_cls: 0.2066, decode.d7.loss_mask: 0.4573, decode.d7.loss_dice: 0.6955, decode.d8.loss_cls: 0.2074, decode.d8.loss_mask: 0.4562, decode.d8.loss_dice: 0.6900, loss: 15.0418, grad_norm: 69.2597 2023-11-22 16:17:35,056 - mmseg - INFO - Iter [116900/160000] lr: 2.566e-06, eta: 7:01:05, time: 0.564, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2039, decode.loss_mask: 0.4307, decode.loss_dice: 0.7029, decode.d0.loss_cls: 1.2954, decode.d0.loss_mask: 0.4597, decode.d0.loss_dice: 0.7834, decode.d1.loss_cls: 0.2840, decode.d1.loss_mask: 0.4429, decode.d1.loss_dice: 0.7365, decode.d2.loss_cls: 0.2411, decode.d2.loss_mask: 0.4367, decode.d2.loss_dice: 0.7128, decode.d3.loss_cls: 0.2220, decode.d3.loss_mask: 0.4322, decode.d3.loss_dice: 0.7054, decode.d4.loss_cls: 0.2164, decode.d4.loss_mask: 0.4328, decode.d4.loss_dice: 0.7059, decode.d5.loss_cls: 0.2101, decode.d5.loss_mask: 0.4335, decode.d5.loss_dice: 0.7016, decode.d6.loss_cls: 0.2053, decode.d6.loss_mask: 0.4329, decode.d6.loss_dice: 0.7046, decode.d7.loss_cls: 0.2035, decode.d7.loss_mask: 0.4318, decode.d7.loss_dice: 0.6995, decode.d8.loss_cls: 0.2074, decode.d8.loss_mask: 0.4304, decode.d8.loss_dice: 0.7010, loss: 14.8064, grad_norm: 66.2305 2023-11-22 16:18:03,832 - mmseg - INFO - Iter [116950/160000] lr: 2.563e-06, eta: 7:00:35, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2060, decode.loss_mask: 0.4490, decode.loss_dice: 0.6838, decode.d0.loss_cls: 1.3054, decode.d0.loss_mask: 0.4798, decode.d0.loss_dice: 0.7621, decode.d1.loss_cls: 0.2802, decode.d1.loss_mask: 0.4638, decode.d1.loss_dice: 0.7215, decode.d2.loss_cls: 0.2392, decode.d2.loss_mask: 0.4576, decode.d2.loss_dice: 0.7007, decode.d3.loss_cls: 0.2294, decode.d3.loss_mask: 0.4508, decode.d3.loss_dice: 0.6829, decode.d4.loss_cls: 0.2176, decode.d4.loss_mask: 0.4501, decode.d4.loss_dice: 0.6851, decode.d5.loss_cls: 0.2149, decode.d5.loss_mask: 0.4488, decode.d5.loss_dice: 0.6827, decode.d6.loss_cls: 0.2074, decode.d6.loss_mask: 0.4508, decode.d6.loss_dice: 0.6849, decode.d7.loss_cls: 0.2035, decode.d7.loss_mask: 0.4516, decode.d7.loss_dice: 0.6847, decode.d8.loss_cls: 0.2073, decode.d8.loss_mask: 0.4508, decode.d8.loss_dice: 0.6836, loss: 14.8358, grad_norm: 67.4799 2023-11-22 16:18:32,361 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 16:18:32,361 - mmseg - INFO - Iter [117000/160000] lr: 2.560e-06, eta: 7:00:06, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1959, decode.loss_mask: 0.4451, decode.loss_dice: 0.6928, decode.d0.loss_cls: 1.2733, decode.d0.loss_mask: 0.4813, decode.d0.loss_dice: 0.7687, decode.d1.loss_cls: 0.2721, decode.d1.loss_mask: 0.4599, decode.d1.loss_dice: 0.7287, decode.d2.loss_cls: 0.2305, decode.d2.loss_mask: 0.4517, decode.d2.loss_dice: 0.7113, decode.d3.loss_cls: 0.2066, decode.d3.loss_mask: 0.4505, decode.d3.loss_dice: 0.6975, decode.d4.loss_cls: 0.2048, decode.d4.loss_mask: 0.4499, decode.d4.loss_dice: 0.6973, decode.d5.loss_cls: 0.1966, decode.d5.loss_mask: 0.4468, decode.d5.loss_dice: 0.6973, decode.d6.loss_cls: 0.1955, decode.d6.loss_mask: 0.4468, decode.d6.loss_dice: 0.6902, decode.d7.loss_cls: 0.1950, decode.d7.loss_mask: 0.4449, decode.d7.loss_dice: 0.6925, decode.d8.loss_cls: 0.1933, decode.d8.loss_mask: 0.4449, decode.d8.loss_dice: 0.6918, loss: 14.7536, grad_norm: 65.2785 2023-11-22 16:19:00,628 - mmseg - INFO - Iter [117050/160000] lr: 2.557e-06, eta: 6:59:36, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1801, decode.loss_mask: 0.4513, decode.loss_dice: 0.6777, decode.d0.loss_cls: 1.2782, decode.d0.loss_mask: 0.4864, decode.d0.loss_dice: 0.7503, decode.d1.loss_cls: 0.2585, decode.d1.loss_mask: 0.4670, decode.d1.loss_dice: 0.7110, decode.d2.loss_cls: 0.2047, decode.d2.loss_mask: 0.4613, decode.d2.loss_dice: 0.6926, decode.d3.loss_cls: 0.1930, decode.d3.loss_mask: 0.4556, decode.d3.loss_dice: 0.6833, decode.d4.loss_cls: 0.1848, decode.d4.loss_mask: 0.4540, decode.d4.loss_dice: 0.6834, decode.d5.loss_cls: 0.1842, decode.d5.loss_mask: 0.4527, decode.d5.loss_dice: 0.6789, decode.d6.loss_cls: 0.1838, decode.d6.loss_mask: 0.4525, decode.d6.loss_dice: 0.6752, decode.d7.loss_cls: 0.1765, decode.d7.loss_mask: 0.4534, decode.d7.loss_dice: 0.6784, decode.d8.loss_cls: 0.1778, decode.d8.loss_mask: 0.4521, decode.d8.loss_dice: 0.6788, loss: 14.5174, grad_norm: 71.9571 2023-11-22 16:19:28,915 - mmseg - INFO - Iter [117100/160000] lr: 2.554e-06, eta: 6:59:06, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1865, decode.loss_mask: 0.4480, decode.loss_dice: 0.6681, decode.d0.loss_cls: 1.2979, decode.d0.loss_mask: 0.4856, decode.d0.loss_dice: 0.7479, decode.d1.loss_cls: 0.2624, decode.d1.loss_mask: 0.4654, decode.d1.loss_dice: 0.7063, decode.d2.loss_cls: 0.2075, decode.d2.loss_mask: 0.4559, decode.d2.loss_dice: 0.6883, decode.d3.loss_cls: 0.1949, decode.d3.loss_mask: 0.4533, decode.d3.loss_dice: 0.6773, decode.d4.loss_cls: 0.1867, decode.d4.loss_mask: 0.4533, decode.d4.loss_dice: 0.6764, decode.d5.loss_cls: 0.1862, decode.d5.loss_mask: 0.4518, decode.d5.loss_dice: 0.6738, decode.d6.loss_cls: 0.1895, decode.d6.loss_mask: 0.4498, decode.d6.loss_dice: 0.6685, decode.d7.loss_cls: 0.1847, decode.d7.loss_mask: 0.4489, decode.d7.loss_dice: 0.6675, decode.d8.loss_cls: 0.1860, decode.d8.loss_mask: 0.4488, decode.d8.loss_dice: 0.6675, loss: 14.4847, grad_norm: 63.6406 2023-11-22 16:19:57,350 - mmseg - INFO - Iter [117150/160000] lr: 2.551e-06, eta: 6:58:37, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1822, decode.loss_mask: 0.4678, decode.loss_dice: 0.7035, decode.d0.loss_cls: 1.2911, decode.d0.loss_mask: 0.4988, decode.d0.loss_dice: 0.7728, decode.d1.loss_cls: 0.2649, decode.d1.loss_mask: 0.4829, decode.d1.loss_dice: 0.7437, decode.d2.loss_cls: 0.2230, decode.d2.loss_mask: 0.4722, decode.d2.loss_dice: 0.7214, decode.d3.loss_cls: 0.2022, decode.d3.loss_mask: 0.4684, decode.d3.loss_dice: 0.7133, decode.d4.loss_cls: 0.1983, decode.d4.loss_mask: 0.4681, decode.d4.loss_dice: 0.7091, decode.d5.loss_cls: 0.1901, decode.d5.loss_mask: 0.4662, decode.d5.loss_dice: 0.7050, decode.d6.loss_cls: 0.1850, decode.d6.loss_mask: 0.4671, decode.d6.loss_dice: 0.7044, decode.d7.loss_cls: 0.1847, decode.d7.loss_mask: 0.4663, decode.d7.loss_dice: 0.7035, decode.d8.loss_cls: 0.1839, decode.d8.loss_mask: 0.4660, decode.d8.loss_dice: 0.7010, loss: 15.0069, grad_norm: 74.5764 2023-11-22 16:20:25,636 - mmseg - INFO - Iter [117200/160000] lr: 2.548e-06, eta: 6:58:07, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1909, decode.loss_mask: 0.4604, decode.loss_dice: 0.6977, decode.d0.loss_cls: 1.2781, decode.d0.loss_mask: 0.4981, decode.d0.loss_dice: 0.7731, decode.d1.loss_cls: 0.2761, decode.d1.loss_mask: 0.4792, decode.d1.loss_dice: 0.7325, decode.d2.loss_cls: 0.2283, decode.d2.loss_mask: 0.4690, decode.d2.loss_dice: 0.7166, decode.d3.loss_cls: 0.2169, decode.d3.loss_mask: 0.4628, decode.d3.loss_dice: 0.7033, decode.d4.loss_cls: 0.2098, decode.d4.loss_mask: 0.4614, decode.d4.loss_dice: 0.7002, decode.d5.loss_cls: 0.2049, decode.d5.loss_mask: 0.4611, decode.d5.loss_dice: 0.6984, decode.d6.loss_cls: 0.2013, decode.d6.loss_mask: 0.4607, decode.d6.loss_dice: 0.6972, decode.d7.loss_cls: 0.2001, decode.d7.loss_mask: 0.4614, decode.d7.loss_dice: 0.6939, decode.d8.loss_cls: 0.1985, decode.d8.loss_mask: 0.4614, decode.d8.loss_dice: 0.6984, loss: 14.9917, grad_norm: 74.2094 2023-11-22 16:20:54,367 - mmseg - INFO - Iter [117250/160000] lr: 2.545e-06, eta: 6:57:38, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1855, decode.loss_mask: 0.4630, decode.loss_dice: 0.6897, decode.d0.loss_cls: 1.2930, decode.d0.loss_mask: 0.4951, decode.d0.loss_dice: 0.7659, decode.d1.loss_cls: 0.2701, decode.d1.loss_mask: 0.4812, decode.d1.loss_dice: 0.7295, decode.d2.loss_cls: 0.2233, decode.d2.loss_mask: 0.4675, decode.d2.loss_dice: 0.7068, decode.d3.loss_cls: 0.2056, decode.d3.loss_mask: 0.4679, decode.d3.loss_dice: 0.6941, decode.d4.loss_cls: 0.2017, decode.d4.loss_mask: 0.4667, decode.d4.loss_dice: 0.6946, decode.d5.loss_cls: 0.1942, decode.d5.loss_mask: 0.4661, decode.d5.loss_dice: 0.6889, decode.d6.loss_cls: 0.1936, decode.d6.loss_mask: 0.4630, decode.d6.loss_dice: 0.6897, decode.d7.loss_cls: 0.1941, decode.d7.loss_mask: 0.4630, decode.d7.loss_dice: 0.6876, decode.d8.loss_cls: 0.1906, decode.d8.loss_mask: 0.4620, decode.d8.loss_dice: 0.6878, loss: 14.8818, grad_norm: 70.7880 2023-11-22 16:21:22,918 - mmseg - INFO - Iter [117300/160000] lr: 2.542e-06, eta: 6:57:08, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1956, decode.loss_mask: 0.4577, decode.loss_dice: 0.6840, decode.d0.loss_cls: 1.3019, decode.d0.loss_mask: 0.4967, decode.d0.loss_dice: 0.7613, decode.d1.loss_cls: 0.2786, decode.d1.loss_mask: 0.4739, decode.d1.loss_dice: 0.7191, decode.d2.loss_cls: 0.2321, decode.d2.loss_mask: 0.4656, decode.d2.loss_dice: 0.7062, decode.d3.loss_cls: 0.2152, decode.d3.loss_mask: 0.4615, decode.d3.loss_dice: 0.6899, decode.d4.loss_cls: 0.2118, decode.d4.loss_mask: 0.4592, decode.d4.loss_dice: 0.6906, decode.d5.loss_cls: 0.2065, decode.d5.loss_mask: 0.4591, decode.d5.loss_dice: 0.6867, decode.d6.loss_cls: 0.2068, decode.d6.loss_mask: 0.4580, decode.d6.loss_dice: 0.6810, decode.d7.loss_cls: 0.2040, decode.d7.loss_mask: 0.4577, decode.d7.loss_dice: 0.6818, decode.d8.loss_cls: 0.1981, decode.d8.loss_mask: 0.4574, decode.d8.loss_dice: 0.6826, loss: 14.8805, grad_norm: 71.3594 2023-11-22 16:21:51,283 - mmseg - INFO - Iter [117350/160000] lr: 2.539e-06, eta: 6:56:38, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1833, decode.loss_mask: 0.4414, decode.loss_dice: 0.6822, decode.d0.loss_cls: 1.3059, decode.d0.loss_mask: 0.4657, decode.d0.loss_dice: 0.7543, decode.d1.loss_cls: 0.2579, decode.d1.loss_mask: 0.4536, decode.d1.loss_dice: 0.7156, decode.d2.loss_cls: 0.2173, decode.d2.loss_mask: 0.4444, decode.d2.loss_dice: 0.6942, decode.d3.loss_cls: 0.1991, decode.d3.loss_mask: 0.4397, decode.d3.loss_dice: 0.6888, decode.d4.loss_cls: 0.1927, decode.d4.loss_mask: 0.4423, decode.d4.loss_dice: 0.6835, decode.d5.loss_cls: 0.1888, decode.d5.loss_mask: 0.4428, decode.d5.loss_dice: 0.6834, decode.d6.loss_cls: 0.1818, decode.d6.loss_mask: 0.4424, decode.d6.loss_dice: 0.6775, decode.d7.loss_cls: 0.1798, decode.d7.loss_mask: 0.4424, decode.d7.loss_dice: 0.6808, decode.d8.loss_cls: 0.1814, decode.d8.loss_mask: 0.4411, decode.d8.loss_dice: 0.6843, loss: 14.4886, grad_norm: 64.4140 2023-11-22 16:22:19,813 - mmseg - INFO - Iter [117400/160000] lr: 2.536e-06, eta: 6:56:09, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1950, decode.loss_mask: 0.4445, decode.loss_dice: 0.6971, decode.d0.loss_cls: 1.3050, decode.d0.loss_mask: 0.4772, decode.d0.loss_dice: 0.7716, decode.d1.loss_cls: 0.2839, decode.d1.loss_mask: 0.4615, decode.d1.loss_dice: 0.7231, decode.d2.loss_cls: 0.2375, decode.d2.loss_mask: 0.4540, decode.d2.loss_dice: 0.7100, decode.d3.loss_cls: 0.2208, decode.d3.loss_mask: 0.4478, decode.d3.loss_dice: 0.6953, decode.d4.loss_cls: 0.2083, decode.d4.loss_mask: 0.4475, decode.d4.loss_dice: 0.6968, decode.d5.loss_cls: 0.2048, decode.d5.loss_mask: 0.4454, decode.d5.loss_dice: 0.6929, decode.d6.loss_cls: 0.2015, decode.d6.loss_mask: 0.4430, decode.d6.loss_dice: 0.6904, decode.d7.loss_cls: 0.1979, decode.d7.loss_mask: 0.4431, decode.d7.loss_dice: 0.6937, decode.d8.loss_cls: 0.1980, decode.d8.loss_mask: 0.4452, decode.d8.loss_dice: 0.6946, loss: 14.8274, grad_norm: 68.7755 2023-11-22 16:22:48,272 - mmseg - INFO - Iter [117450/160000] lr: 2.533e-06, eta: 6:55:39, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2028, decode.loss_mask: 0.4599, decode.loss_dice: 0.6811, decode.d0.loss_cls: 1.2764, decode.d0.loss_mask: 0.4939, decode.d0.loss_dice: 0.7535, decode.d1.loss_cls: 0.2828, decode.d1.loss_mask: 0.4821, decode.d1.loss_dice: 0.7107, decode.d2.loss_cls: 0.2429, decode.d2.loss_mask: 0.4736, decode.d2.loss_dice: 0.6938, decode.d3.loss_cls: 0.2224, decode.d3.loss_mask: 0.4647, decode.d3.loss_dice: 0.6817, decode.d4.loss_cls: 0.2177, decode.d4.loss_mask: 0.4642, decode.d4.loss_dice: 0.6814, decode.d5.loss_cls: 0.2130, decode.d5.loss_mask: 0.4643, decode.d5.loss_dice: 0.6806, decode.d6.loss_cls: 0.2099, decode.d6.loss_mask: 0.4603, decode.d6.loss_dice: 0.6774, decode.d7.loss_cls: 0.2100, decode.d7.loss_mask: 0.4609, decode.d7.loss_dice: 0.6785, decode.d8.loss_cls: 0.2031, decode.d8.loss_mask: 0.4613, decode.d8.loss_dice: 0.6798, loss: 14.8849, grad_norm: 70.5518 2023-11-22 16:23:19,163 - mmseg - INFO - Iter [117500/160000] lr: 2.530e-06, eta: 6:55:10, time: 0.618, data_time: 0.058, memory: 38143, decode.loss_cls: 0.1892, decode.loss_mask: 0.4592, decode.loss_dice: 0.6919, decode.d0.loss_cls: 1.3105, decode.d0.loss_mask: 0.4944, decode.d0.loss_dice: 0.7723, decode.d1.loss_cls: 0.2785, decode.d1.loss_mask: 0.4740, decode.d1.loss_dice: 0.7285, decode.d2.loss_cls: 0.2244, decode.d2.loss_mask: 0.4672, decode.d2.loss_dice: 0.7168, decode.d3.loss_cls: 0.2115, decode.d3.loss_mask: 0.4601, decode.d3.loss_dice: 0.7032, decode.d4.loss_cls: 0.1989, decode.d4.loss_mask: 0.4611, decode.d4.loss_dice: 0.7000, decode.d5.loss_cls: 0.1957, decode.d5.loss_mask: 0.4613, decode.d5.loss_dice: 0.6966, decode.d6.loss_cls: 0.1928, decode.d6.loss_mask: 0.4603, decode.d6.loss_dice: 0.6955, decode.d7.loss_cls: 0.1872, decode.d7.loss_mask: 0.4601, decode.d7.loss_dice: 0.6944, decode.d8.loss_cls: 0.1884, decode.d8.loss_mask: 0.4606, decode.d8.loss_dice: 0.6976, loss: 14.9320, grad_norm: 63.5082 2023-11-22 16:23:48,130 - mmseg - INFO - Iter [117550/160000] lr: 2.527e-06, eta: 6:54:41, time: 0.579, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1973, decode.loss_mask: 0.4521, decode.loss_dice: 0.7070, decode.d0.loss_cls: 1.3112, decode.d0.loss_mask: 0.4857, decode.d0.loss_dice: 0.7810, decode.d1.loss_cls: 0.2843, decode.d1.loss_mask: 0.4657, decode.d1.loss_dice: 0.7394, decode.d2.loss_cls: 0.2339, decode.d2.loss_mask: 0.4575, decode.d2.loss_dice: 0.7262, decode.d3.loss_cls: 0.2162, decode.d3.loss_mask: 0.4536, decode.d3.loss_dice: 0.7127, decode.d4.loss_cls: 0.2072, decode.d4.loss_mask: 0.4534, decode.d4.loss_dice: 0.7099, decode.d5.loss_cls: 0.2106, decode.d5.loss_mask: 0.4533, decode.d5.loss_dice: 0.7098, decode.d6.loss_cls: 0.2045, decode.d6.loss_mask: 0.4511, decode.d6.loss_dice: 0.7082, decode.d7.loss_cls: 0.1983, decode.d7.loss_mask: 0.4519, decode.d7.loss_dice: 0.7085, decode.d8.loss_cls: 0.1993, decode.d8.loss_mask: 0.4519, decode.d8.loss_dice: 0.7090, loss: 15.0505, grad_norm: 63.9621 2023-11-22 16:24:16,594 - mmseg - INFO - Iter [117600/160000] lr: 2.524e-06, eta: 6:54:11, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1874, decode.loss_mask: 0.4424, decode.loss_dice: 0.6541, decode.d0.loss_cls: 1.2940, decode.d0.loss_mask: 0.4761, decode.d0.loss_dice: 0.7252, decode.d1.loss_cls: 0.2649, decode.d1.loss_mask: 0.4596, decode.d1.loss_dice: 0.6902, decode.d2.loss_cls: 0.2201, decode.d2.loss_mask: 0.4514, decode.d2.loss_dice: 0.6750, decode.d3.loss_cls: 0.2054, decode.d3.loss_mask: 0.4478, decode.d3.loss_dice: 0.6601, decode.d4.loss_cls: 0.2036, decode.d4.loss_mask: 0.4433, decode.d4.loss_dice: 0.6576, decode.d5.loss_cls: 0.1945, decode.d5.loss_mask: 0.4462, decode.d5.loss_dice: 0.6552, decode.d6.loss_cls: 0.1935, decode.d6.loss_mask: 0.4409, decode.d6.loss_dice: 0.6556, decode.d7.loss_cls: 0.1868, decode.d7.loss_mask: 0.4431, decode.d7.loss_dice: 0.6570, decode.d8.loss_cls: 0.1864, decode.d8.loss_mask: 0.4426, decode.d8.loss_dice: 0.6563, loss: 14.3166, grad_norm: 66.3541 2023-11-22 16:24:45,010 - mmseg - INFO - Iter [117650/160000] lr: 2.521e-06, eta: 6:53:42, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1843, decode.loss_mask: 0.4668, decode.loss_dice: 0.6864, decode.d0.loss_cls: 1.2808, decode.d0.loss_mask: 0.5033, decode.d0.loss_dice: 0.7622, decode.d1.loss_cls: 0.2621, decode.d1.loss_mask: 0.4835, decode.d1.loss_dice: 0.7155, decode.d2.loss_cls: 0.2170, decode.d2.loss_mask: 0.4762, decode.d2.loss_dice: 0.7027, decode.d3.loss_cls: 0.2051, decode.d3.loss_mask: 0.4708, decode.d3.loss_dice: 0.6913, decode.d4.loss_cls: 0.1946, decode.d4.loss_mask: 0.4699, decode.d4.loss_dice: 0.6936, decode.d5.loss_cls: 0.1942, decode.d5.loss_mask: 0.4691, decode.d5.loss_dice: 0.6881, decode.d6.loss_cls: 0.1926, decode.d6.loss_mask: 0.4691, decode.d6.loss_dice: 0.6888, decode.d7.loss_cls: 0.1868, decode.d7.loss_mask: 0.4688, decode.d7.loss_dice: 0.6895, decode.d8.loss_cls: 0.1876, decode.d8.loss_mask: 0.4678, decode.d8.loss_dice: 0.6870, loss: 14.8556, grad_norm: 68.3270 2023-11-22 16:25:13,326 - mmseg - INFO - Iter [117700/160000] lr: 2.518e-06, eta: 6:53:12, time: 0.566, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1989, decode.loss_mask: 0.4536, decode.loss_dice: 0.6740, decode.d0.loss_cls: 1.2934, decode.d0.loss_mask: 0.4848, decode.d0.loss_dice: 0.7483, decode.d1.loss_cls: 0.2802, decode.d1.loss_mask: 0.4714, decode.d1.loss_dice: 0.7139, decode.d2.loss_cls: 0.2282, decode.d2.loss_mask: 0.4612, decode.d2.loss_dice: 0.6909, decode.d3.loss_cls: 0.2162, decode.d3.loss_mask: 0.4557, decode.d3.loss_dice: 0.6773, decode.d4.loss_cls: 0.2060, decode.d4.loss_mask: 0.4572, decode.d4.loss_dice: 0.6782, decode.d5.loss_cls: 0.2003, decode.d5.loss_mask: 0.4569, decode.d5.loss_dice: 0.6774, decode.d6.loss_cls: 0.1986, decode.d6.loss_mask: 0.4549, decode.d6.loss_dice: 0.6750, decode.d7.loss_cls: 0.1974, decode.d7.loss_mask: 0.4543, decode.d7.loss_dice: 0.6725, decode.d8.loss_cls: 0.1944, decode.d8.loss_mask: 0.4547, decode.d8.loss_dice: 0.6769, loss: 14.7027, grad_norm: 66.6786 2023-11-22 16:25:41,813 - mmseg - INFO - Iter [117750/160000] lr: 2.515e-06, eta: 6:52:42, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1862, decode.loss_mask: 0.4452, decode.loss_dice: 0.6902, decode.d0.loss_cls: 1.3076, decode.d0.loss_mask: 0.4781, decode.d0.loss_dice: 0.7755, decode.d1.loss_cls: 0.2770, decode.d1.loss_mask: 0.4621, decode.d1.loss_dice: 0.7337, decode.d2.loss_cls: 0.2266, decode.d2.loss_mask: 0.4535, decode.d2.loss_dice: 0.7107, decode.d3.loss_cls: 0.2115, decode.d3.loss_mask: 0.4469, decode.d3.loss_dice: 0.6969, decode.d4.loss_cls: 0.1985, decode.d4.loss_mask: 0.4466, decode.d4.loss_dice: 0.6952, decode.d5.loss_cls: 0.1988, decode.d5.loss_mask: 0.4455, decode.d5.loss_dice: 0.6924, decode.d6.loss_cls: 0.1931, decode.d6.loss_mask: 0.4450, decode.d6.loss_dice: 0.6864, decode.d7.loss_cls: 0.1910, decode.d7.loss_mask: 0.4459, decode.d7.loss_dice: 0.6921, decode.d8.loss_cls: 0.1895, decode.d8.loss_mask: 0.4449, decode.d8.loss_dice: 0.6895, loss: 14.7559, grad_norm: 72.5139 2023-11-22 16:26:10,452 - mmseg - INFO - Iter [117800/160000] lr: 2.512e-06, eta: 6:52:13, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1910, decode.loss_mask: 0.4362, decode.loss_dice: 0.6626, decode.d0.loss_cls: 1.2833, decode.d0.loss_mask: 0.4687, decode.d0.loss_dice: 0.7470, decode.d1.loss_cls: 0.2731, decode.d1.loss_mask: 0.4546, decode.d1.loss_dice: 0.7074, decode.d2.loss_cls: 0.2272, decode.d2.loss_mask: 0.4432, decode.d2.loss_dice: 0.6846, decode.d3.loss_cls: 0.2113, decode.d3.loss_mask: 0.4405, decode.d3.loss_dice: 0.6706, decode.d4.loss_cls: 0.2069, decode.d4.loss_mask: 0.4390, decode.d4.loss_dice: 0.6684, decode.d5.loss_cls: 0.1996, decode.d5.loss_mask: 0.4362, decode.d5.loss_dice: 0.6663, decode.d6.loss_cls: 0.1986, decode.d6.loss_mask: 0.4366, decode.d6.loss_dice: 0.6677, decode.d7.loss_cls: 0.1950, decode.d7.loss_mask: 0.4367, decode.d7.loss_dice: 0.6623, decode.d8.loss_cls: 0.1922, decode.d8.loss_mask: 0.4358, decode.d8.loss_dice: 0.6644, loss: 14.4069, grad_norm: 70.5749 2023-11-22 16:26:39,191 - mmseg - INFO - Iter [117850/160000] lr: 2.509e-06, eta: 6:51:43, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1877, decode.loss_mask: 0.4520, decode.loss_dice: 0.6790, decode.d0.loss_cls: 1.2629, decode.d0.loss_mask: 0.4840, decode.d0.loss_dice: 0.7485, decode.d1.loss_cls: 0.2588, decode.d1.loss_mask: 0.4669, decode.d1.loss_dice: 0.7163, decode.d2.loss_cls: 0.2173, decode.d2.loss_mask: 0.4561, decode.d2.loss_dice: 0.6997, decode.d3.loss_cls: 0.2066, decode.d3.loss_mask: 0.4526, decode.d3.loss_dice: 0.6810, decode.d4.loss_cls: 0.1955, decode.d4.loss_mask: 0.4524, decode.d4.loss_dice: 0.6845, decode.d5.loss_cls: 0.1994, decode.d5.loss_mask: 0.4527, decode.d5.loss_dice: 0.6818, decode.d6.loss_cls: 0.1925, decode.d6.loss_mask: 0.4531, decode.d6.loss_dice: 0.6757, decode.d7.loss_cls: 0.1893, decode.d7.loss_mask: 0.4532, decode.d7.loss_dice: 0.6737, decode.d8.loss_cls: 0.1905, decode.d8.loss_mask: 0.4530, decode.d8.loss_dice: 0.6796, loss: 14.5962, grad_norm: 63.1760 2023-11-22 16:27:07,674 - mmseg - INFO - Iter [117900/160000] lr: 2.506e-06, eta: 6:51:14, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1952, decode.loss_mask: 0.4535, decode.loss_dice: 0.6840, decode.d0.loss_cls: 1.2950, decode.d0.loss_mask: 0.4892, decode.d0.loss_dice: 0.7597, decode.d1.loss_cls: 0.2740, decode.d1.loss_mask: 0.4708, decode.d1.loss_dice: 0.7250, decode.d2.loss_cls: 0.2322, decode.d2.loss_mask: 0.4630, decode.d2.loss_dice: 0.7067, decode.d3.loss_cls: 0.2181, decode.d3.loss_mask: 0.4557, decode.d3.loss_dice: 0.6927, decode.d4.loss_cls: 0.2092, decode.d4.loss_mask: 0.4539, decode.d4.loss_dice: 0.6903, decode.d5.loss_cls: 0.2042, decode.d5.loss_mask: 0.4553, decode.d5.loss_dice: 0.6931, decode.d6.loss_cls: 0.1976, decode.d6.loss_mask: 0.4548, decode.d6.loss_dice: 0.6864, decode.d7.loss_cls: 0.1958, decode.d7.loss_mask: 0.4532, decode.d7.loss_dice: 0.6886, decode.d8.loss_cls: 0.1953, decode.d8.loss_mask: 0.4533, decode.d8.loss_dice: 0.6894, loss: 14.8349, grad_norm: 69.4690 2023-11-22 16:27:35,862 - mmseg - INFO - Iter [117950/160000] lr: 2.503e-06, eta: 6:50:44, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2053, decode.loss_mask: 0.4643, decode.loss_dice: 0.6948, decode.d0.loss_cls: 1.3210, decode.d0.loss_mask: 0.4967, decode.d0.loss_dice: 0.7742, decode.d1.loss_cls: 0.2944, decode.d1.loss_mask: 0.4827, decode.d1.loss_dice: 0.7363, decode.d2.loss_cls: 0.2419, decode.d2.loss_mask: 0.4719, decode.d2.loss_dice: 0.7136, decode.d3.loss_cls: 0.2226, decode.d3.loss_mask: 0.4672, decode.d3.loss_dice: 0.7045, decode.d4.loss_cls: 0.2160, decode.d4.loss_mask: 0.4690, decode.d4.loss_dice: 0.7019, decode.d5.loss_cls: 0.2135, decode.d5.loss_mask: 0.4687, decode.d5.loss_dice: 0.7020, decode.d6.loss_cls: 0.2115, decode.d6.loss_mask: 0.4664, decode.d6.loss_dice: 0.6987, decode.d7.loss_cls: 0.2079, decode.d7.loss_mask: 0.4646, decode.d7.loss_dice: 0.6989, decode.d8.loss_cls: 0.2076, decode.d8.loss_mask: 0.4641, decode.d8.loss_dice: 0.6985, loss: 15.1806, grad_norm: 67.2251 2023-11-22 16:28:04,207 - mmseg - INFO - Saving checkpoint at 118000 iterations 2023-11-22 16:28:12,341 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 16:28:12,341 - mmseg - INFO - Iter [118000/160000] lr: 2.500e-06, eta: 6:50:17, time: 0.730, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1774, decode.loss_mask: 0.4414, decode.loss_dice: 0.6807, decode.d0.loss_cls: 1.2910, decode.d0.loss_mask: 0.4713, decode.d0.loss_dice: 0.7489, decode.d1.loss_cls: 0.2585, decode.d1.loss_mask: 0.4552, decode.d1.loss_dice: 0.7120, decode.d2.loss_cls: 0.2095, decode.d2.loss_mask: 0.4448, decode.d2.loss_dice: 0.6978, decode.d3.loss_cls: 0.2024, decode.d3.loss_mask: 0.4429, decode.d3.loss_dice: 0.6852, decode.d4.loss_cls: 0.1902, decode.d4.loss_mask: 0.4424, decode.d4.loss_dice: 0.6890, decode.d5.loss_cls: 0.1866, decode.d5.loss_mask: 0.4430, decode.d5.loss_dice: 0.6865, decode.d6.loss_cls: 0.1846, decode.d6.loss_mask: 0.4427, decode.d6.loss_dice: 0.6825, decode.d7.loss_cls: 0.1849, decode.d7.loss_mask: 0.4426, decode.d7.loss_dice: 0.6817, decode.d8.loss_cls: 0.1807, decode.d8.loss_mask: 0.4420, decode.d8.loss_dice: 0.6826, loss: 14.4812, grad_norm: 65.6438 2023-11-22 16:28:31,836 - mmseg - INFO - per class results: 2023-11-22 16:28:31,842 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.83 | 87.97 | | building | 83.89 | 90.9 | | sky | 95.02 | 97.67 | | floor | 84.37 | 91.46 | | tree | 76.39 | 88.63 | | ceiling | 85.69 | 92.62 | | road | 85.68 | 90.33 | | bed | 91.76 | 96.23 | | windowpane | 65.03 | 81.35 | | grass | 66.76 | 75.74 | | cabinet | 63.67 | 75.6 | | sidewalk | 70.91 | 84.77 | | person | 86.48 | 94.07 | | earth | 41.01 | 61.24 | | door | 54.28 | 71.29 | | table | 71.25 | 84.2 | | mountain | 60.07 | 72.91 | | plant | 55.49 | 68.35 | | curtain | 76.24 | 89.07 | | chair | 65.12 | 75.32 | | car | 88.67 | 94.95 | | water | 55.9 | 65.43 | | painting | 73.89 | 90.26 | | sofa | 76.51 | 91.43 | | shelf | 46.3 | 60.03 | | house | 48.04 | 80.59 | | sea | 61.22 | 90.71 | | mirror | 74.58 | 83.7 | | rug | 66.42 | 80.75 | | field | 31.77 | 60.21 | | armchair | 51.6 | 69.79 | | seat | 66.09 | 86.52 | | fence | 53.14 | 64.11 | | desk | 53.31 | 78.08 | | rock | 47.53 | 64.2 | | wardrobe | 48.64 | 68.04 | | lamp | 72.76 | 82.76 | | bathtub | 79.6 | 85.74 | | railing | 37.39 | 56.53 | | cushion | 65.16 | 72.87 | | base | 39.98 | 62.69 | | box | 32.95 | 42.41 | | column | 49.6 | 69.99 | | signboard | 40.89 | 61.04 | | chest of drawers | 39.84 | 66.3 | | counter | 41.94 | 53.68 | | sand | 41.94 | 59.86 | | sink | 80.07 | 85.62 | | skyscraper | 60.95 | 77.83 | | fireplace | 75.24 | 91.08 | | refrigerator | 85.74 | 93.15 | | grandstand | 43.97 | 71.97 | | path | 24.45 | 34.2 | | stairs | 46.1 | 58.12 | | runway | 72.39 | 93.69 | | case | 61.87 | 85.97 | | pool table | 94.46 | 97.76 | | pillow | 64.14 | 77.7 | | screen door | 77.66 | 82.3 | | stairway | 37.16 | 48.0 | | river | 18.26 | 35.54 | | bridge | 80.75 | 90.93 | | bookcase | 27.16 | 44.43 | | blind | 40.63 | 48.07 | | coffee table | 74.57 | 88.07 | | toilet | 91.23 | 93.75 | | flower | 45.26 | 61.65 | | book | 51.79 | 76.71 | | hill | 9.52 | 15.06 | | bench | 66.44 | 75.93 | | countertop | 63.62 | 79.27 | | stove | 88.29 | 91.62 | | palm | 53.71 | 80.75 | | kitchen island | 55.57 | 88.71 | | computer | 73.85 | 82.86 | | swivel chair | 45.6 | 68.07 | | boat | 37.69 | 57.33 | | bar | 72.19 | 78.88 | | arcade machine | 85.43 | 91.51 | | hovel | 44.85 | 49.2 | | bus | 84.62 | 96.49 | | towel | 78.47 | 89.02 | | light | 66.56 | 79.4 | | truck | 23.31 | 27.03 | | tower | 30.31 | 50.29 | | chandelier | 69.65 | 89.74 | | awning | 40.84 | 53.68 | | streetlight | 49.13 | 62.93 | | booth | 52.66 | 69.69 | | television receiver | 79.9 | 89.84 | | airplane | 64.53 | 77.54 | | dirt track | 9.98 | 30.13 | | apparel | 51.35 | 69.57 | | pole | 41.78 | 67.12 | | land | 4.87 | 6.12 | | bannister | 23.34 | 28.55 | | escalator | 38.17 | 44.95 | | ottoman | 53.99 | 75.63 | | bottle | 34.73 | 70.2 | | buffet | 51.34 | 61.22 | | poster | 32.95 | 46.98 | | stage | 27.4 | 46.6 | | van | 50.73 | 68.2 | | ship | 4.61 | 6.67 | | fountain | 21.47 | 21.87 | | conveyer belt | 67.35 | 93.53 | | canopy | 29.72 | 51.74 | | washer | 71.06 | 74.56 | | plaything | 41.56 | 58.96 | | swimming pool | 56.18 | 72.11 | | stool | 52.4 | 69.89 | | barrel | 54.64 | 98.35 | | basket | 47.46 | 59.73 | | waterfall | 77.63 | 87.38 | | tent | 90.41 | 98.12 | | bag | 32.4 | 48.38 | | minibike | 71.15 | 91.5 | | cradle | 75.6 | 97.39 | | oven | 25.1 | 69.48 | | ball | 61.59 | 70.44 | | food | 59.66 | 68.98 | | step | 24.42 | 37.0 | | tank | 63.93 | 65.88 | | trade name | 24.79 | 29.91 | | microwave | 42.58 | 46.94 | | pot | 56.95 | 67.89 | | animal | 62.14 | 63.82 | | bicycle | 60.94 | 81.53 | | lake | 53.86 | 63.7 | | dishwasher | 82.54 | 89.16 | | screen | 47.5 | 74.97 | | blanket | 37.41 | 53.84 | | sculpture | 58.3 | 88.01 | | hood | 65.06 | 78.63 | | sconce | 60.07 | 78.62 | | vase | 52.03 | 77.74 | | traffic light | 47.89 | 73.42 | | tray | 19.9 | 27.1 | | ashcan | 51.13 | 77.59 | | fan | 69.58 | 86.17 | | pier | 52.85 | 55.91 | | crt screen | 2.79 | 10.05 | | plate | 65.09 | 81.81 | | monitor | 9.37 | 12.0 | | bulletin board | 50.46 | 79.27 | | shower | 14.2 | 23.1 | | radiator | 73.49 | 89.88 | | glass | 24.68 | 27.13 | | clock | 55.54 | 69.65 | | flag | 73.2 | 84.55 | +---------------------+-------+-------+ 2023-11-22 16:28:31,842 - mmseg - INFO - Summary: 2023-11-22 16:28:31,842 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.03 | 55.33 | 69.62 | +-------+-------+-------+ 2023-11-22 16:28:31,843 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 16:28:31,843 - mmseg - INFO - Iter(val) [250] aAcc: 0.8503, mIoU: 0.5533, mAcc: 0.6962, IoU.wall: 0.8083, IoU.building: 0.8389, IoU.sky: 0.9502, IoU.floor: 0.8437, IoU.tree: 0.7639, IoU.ceiling: 0.8569, IoU.road: 0.8568, IoU.bed : 0.9176, IoU.windowpane: 0.6503, IoU.grass: 0.6676, IoU.cabinet: 0.6367, IoU.sidewalk: 0.7091, IoU.person: 0.8648, IoU.earth: 0.4101, IoU.door: 0.5428, IoU.table: 0.7125, IoU.mountain: 0.6007, IoU.plant: 0.5549, IoU.curtain: 0.7624, IoU.chair: 0.6512, IoU.car: 0.8867, IoU.water: 0.5590, IoU.painting: 0.7389, IoU.sofa: 0.7651, IoU.shelf: 0.4630, IoU.house: 0.4804, IoU.sea: 0.6122, IoU.mirror: 0.7458, IoU.rug: 0.6642, IoU.field: 0.3177, IoU.armchair: 0.5160, IoU.seat: 0.6609, IoU.fence: 0.5314, IoU.desk: 0.5331, IoU.rock: 0.4753, IoU.wardrobe: 0.4864, IoU.lamp: 0.7276, IoU.bathtub: 0.7960, IoU.railing: 0.3739, IoU.cushion: 0.6516, IoU.base: 0.3998, IoU.box: 0.3295, IoU.column: 0.4960, IoU.signboard: 0.4089, IoU.chest of drawers: 0.3984, IoU.counter: 0.4194, IoU.sand: 0.4194, IoU.sink: 0.8007, IoU.skyscraper: 0.6095, IoU.fireplace: 0.7524, IoU.refrigerator: 0.8574, IoU.grandstand: 0.4397, IoU.path: 0.2445, IoU.stairs: 0.4610, IoU.runway: 0.7239, IoU.case: 0.6187, IoU.pool table: 0.9446, IoU.pillow: 0.6414, IoU.screen door: 0.7766, IoU.stairway: 0.3716, IoU.river: 0.1826, IoU.bridge: 0.8075, IoU.bookcase: 0.2716, IoU.blind: 0.4063, IoU.coffee table: 0.7457, IoU.toilet: 0.9123, IoU.flower: 0.4526, IoU.book: 0.5179, IoU.hill: 0.0952, IoU.bench: 0.6644, IoU.countertop: 0.6362, IoU.stove: 0.8829, IoU.palm: 0.5371, IoU.kitchen island: 0.5557, IoU.computer: 0.7385, IoU.swivel chair: 0.4560, IoU.boat: 0.3769, IoU.bar: 0.7219, IoU.arcade machine: 0.8543, IoU.hovel: 0.4485, IoU.bus: 0.8462, IoU.towel: 0.7847, IoU.light: 0.6656, IoU.truck: 0.2331, IoU.tower: 0.3031, IoU.chandelier: 0.6965, IoU.awning: 0.4084, IoU.streetlight: 0.4913, IoU.booth: 0.5266, IoU.television receiver: 0.7990, IoU.airplane: 0.6453, IoU.dirt track: 0.0998, IoU.apparel: 0.5135, IoU.pole: 0.4178, IoU.land: 0.0487, IoU.bannister: 0.2334, IoU.escalator: 0.3817, IoU.ottoman: 0.5399, IoU.bottle: 0.3473, IoU.buffet: 0.5134, IoU.poster: 0.3295, IoU.stage: 0.2740, IoU.van: 0.5073, IoU.ship: 0.0461, IoU.fountain: 0.2147, IoU.conveyer belt: 0.6735, IoU.canopy: 0.2972, IoU.washer: 0.7106, IoU.plaything: 0.4156, IoU.swimming pool: 0.5618, IoU.stool: 0.5240, IoU.barrel: 0.5464, IoU.basket: 0.4746, IoU.waterfall: 0.7763, IoU.tent: 0.9041, IoU.bag: 0.3240, IoU.minibike: 0.7115, IoU.cradle: 0.7560, IoU.oven: 0.2510, IoU.ball: 0.6159, IoU.food: 0.5966, IoU.step: 0.2442, IoU.tank: 0.6393, IoU.trade name: 0.2479, IoU.microwave: 0.4258, IoU.pot: 0.5695, IoU.animal: 0.6214, IoU.bicycle: 0.6094, IoU.lake: 0.5386, IoU.dishwasher: 0.8254, IoU.screen: 0.4750, IoU.blanket: 0.3741, IoU.sculpture: 0.5830, IoU.hood: 0.6506, IoU.sconce: 0.6007, IoU.vase: 0.5203, IoU.traffic light: 0.4789, IoU.tray: 0.1990, IoU.ashcan: 0.5113, IoU.fan: 0.6958, IoU.pier: 0.5285, IoU.crt screen: 0.0279, IoU.plate: 0.6509, IoU.monitor: 0.0937, IoU.bulletin board: 0.5046, IoU.shower: 0.1420, IoU.radiator: 0.7349, IoU.glass: 0.2468, IoU.clock: 0.5554, IoU.flag: 0.7320, Acc.wall: 0.8797, Acc.building: 0.9090, Acc.sky: 0.9767, Acc.floor: 0.9146, Acc.tree: 0.8863, Acc.ceiling: 0.9262, Acc.road: 0.9033, Acc.bed : 0.9623, Acc.windowpane: 0.8135, Acc.grass: 0.7574, Acc.cabinet: 0.7560, Acc.sidewalk: 0.8477, Acc.person: 0.9407, Acc.earth: 0.6124, Acc.door: 0.7129, Acc.table: 0.8420, Acc.mountain: 0.7291, Acc.plant: 0.6835, Acc.curtain: 0.8907, Acc.chair: 0.7532, Acc.car: 0.9495, Acc.water: 0.6543, Acc.painting: 0.9026, Acc.sofa: 0.9143, Acc.shelf: 0.6003, Acc.house: 0.8059, Acc.sea: 0.9071, Acc.mirror: 0.8370, Acc.rug: 0.8075, Acc.field: 0.6021, Acc.armchair: 0.6979, Acc.seat: 0.8652, Acc.fence: 0.6411, Acc.desk: 0.7808, Acc.rock: 0.6420, Acc.wardrobe: 0.6804, Acc.lamp: 0.8276, Acc.bathtub: 0.8574, Acc.railing: 0.5653, Acc.cushion: 0.7287, Acc.base: 0.6269, Acc.box: 0.4241, Acc.column: 0.6999, Acc.signboard: 0.6104, Acc.chest of drawers: 0.6630, Acc.counter: 0.5368, Acc.sand: 0.5986, Acc.sink: 0.8562, Acc.skyscraper: 0.7783, Acc.fireplace: 0.9108, Acc.refrigerator: 0.9315, Acc.grandstand: 0.7197, Acc.path: 0.3420, Acc.stairs: 0.5812, Acc.runway: 0.9369, Acc.case: 0.8597, Acc.pool table: 0.9776, Acc.pillow: 0.7770, Acc.screen door: 0.8230, Acc.stairway: 0.4800, Acc.river: 0.3554, Acc.bridge: 0.9093, Acc.bookcase: 0.4443, Acc.blind: 0.4807, Acc.coffee table: 0.8807, Acc.toilet: 0.9375, Acc.flower: 0.6165, Acc.book: 0.7671, Acc.hill: 0.1506, Acc.bench: 0.7593, Acc.countertop: 0.7927, Acc.stove: 0.9162, Acc.palm: 0.8075, Acc.kitchen island: 0.8871, Acc.computer: 0.8286, Acc.swivel chair: 0.6807, Acc.boat: 0.5733, Acc.bar: 0.7888, Acc.arcade machine: 0.9151, Acc.hovel: 0.4920, Acc.bus: 0.9649, Acc.towel: 0.8902, Acc.light: 0.7940, Acc.truck: 0.2703, Acc.tower: 0.5029, Acc.chandelier: 0.8974, Acc.awning: 0.5368, Acc.streetlight: 0.6293, Acc.booth: 0.6969, Acc.television receiver: 0.8984, Acc.airplane: 0.7754, Acc.dirt track: 0.3013, Acc.apparel: 0.6957, Acc.pole: 0.6712, Acc.land: 0.0612, Acc.bannister: 0.2855, Acc.escalator: 0.4495, Acc.ottoman: 0.7563, Acc.bottle: 0.7020, Acc.buffet: 0.6122, Acc.poster: 0.4698, Acc.stage: 0.4660, Acc.van: 0.6820, Acc.ship: 0.0667, Acc.fountain: 0.2187, Acc.conveyer belt: 0.9353, Acc.canopy: 0.5174, Acc.washer: 0.7456, Acc.plaything: 0.5896, Acc.swimming pool: 0.7211, Acc.stool: 0.6989, Acc.barrel: 0.9835, Acc.basket: 0.5973, Acc.waterfall: 0.8738, Acc.tent: 0.9812, Acc.bag: 0.4838, Acc.minibike: 0.9150, Acc.cradle: 0.9739, Acc.oven: 0.6948, Acc.ball: 0.7044, Acc.food: 0.6898, Acc.step: 0.3700, Acc.tank: 0.6588, Acc.trade name: 0.2991, Acc.microwave: 0.4694, Acc.pot: 0.6789, Acc.animal: 0.6382, Acc.bicycle: 0.8153, Acc.lake: 0.6370, Acc.dishwasher: 0.8916, Acc.screen: 0.7497, Acc.blanket: 0.5384, Acc.sculpture: 0.8801, Acc.hood: 0.7863, Acc.sconce: 0.7862, Acc.vase: 0.7774, Acc.traffic light: 0.7342, Acc.tray: 0.2710, Acc.ashcan: 0.7759, Acc.fan: 0.8617, Acc.pier: 0.5591, Acc.crt screen: 0.1005, Acc.plate: 0.8181, Acc.monitor: 0.1200, Acc.bulletin board: 0.7927, Acc.shower: 0.2310, Acc.radiator: 0.8988, Acc.glass: 0.2713, Acc.clock: 0.6965, Acc.flag: 0.8455 2023-11-22 16:29:00,175 - mmseg - INFO - Iter [118050/160000] lr: 2.497e-06, eta: 6:49:55, time: 0.957, data_time: 0.403, memory: 38143, decode.loss_cls: 0.1821, decode.loss_mask: 0.4440, decode.loss_dice: 0.6874, decode.d0.loss_cls: 1.2825, decode.d0.loss_mask: 0.4780, decode.d0.loss_dice: 0.7579, decode.d1.loss_cls: 0.2647, decode.d1.loss_mask: 0.4627, decode.d1.loss_dice: 0.7276, decode.d2.loss_cls: 0.2174, decode.d2.loss_mask: 0.4509, decode.d2.loss_dice: 0.7103, decode.d3.loss_cls: 0.1983, decode.d3.loss_mask: 0.4480, decode.d3.loss_dice: 0.6911, decode.d4.loss_cls: 0.1929, decode.d4.loss_mask: 0.4469, decode.d4.loss_dice: 0.6938, decode.d5.loss_cls: 0.1874, decode.d5.loss_mask: 0.4461, decode.d5.loss_dice: 0.6956, decode.d6.loss_cls: 0.1850, decode.d6.loss_mask: 0.4462, decode.d6.loss_dice: 0.6932, decode.d7.loss_cls: 0.1804, decode.d7.loss_mask: 0.4465, decode.d7.loss_dice: 0.6906, decode.d8.loss_cls: 0.1840, decode.d8.loss_mask: 0.4457, decode.d8.loss_dice: 0.6917, loss: 14.6289, grad_norm: 66.7056 2023-11-22 16:29:28,780 - mmseg - INFO - Iter [118100/160000] lr: 2.494e-06, eta: 6:49:25, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1905, decode.loss_mask: 0.4638, decode.loss_dice: 0.6827, decode.d0.loss_cls: 1.2852, decode.d0.loss_mask: 0.5028, decode.d0.loss_dice: 0.7719, decode.d1.loss_cls: 0.2562, decode.d1.loss_mask: 0.4829, decode.d1.loss_dice: 0.7219, decode.d2.loss_cls: 0.2249, decode.d2.loss_mask: 0.4744, decode.d2.loss_dice: 0.7064, decode.d3.loss_cls: 0.2063, decode.d3.loss_mask: 0.4678, decode.d3.loss_dice: 0.6917, decode.d4.loss_cls: 0.1972, decode.d4.loss_mask: 0.4683, decode.d4.loss_dice: 0.6929, decode.d5.loss_cls: 0.1914, decode.d5.loss_mask: 0.4669, decode.d5.loss_dice: 0.6912, decode.d6.loss_cls: 0.1897, decode.d6.loss_mask: 0.4647, decode.d6.loss_dice: 0.6862, decode.d7.loss_cls: 0.1859, decode.d7.loss_mask: 0.4657, decode.d7.loss_dice: 0.6847, decode.d8.loss_cls: 0.1882, decode.d8.loss_mask: 0.4665, decode.d8.loss_dice: 0.6874, loss: 14.8562, grad_norm: 77.0514 2023-11-22 16:29:57,325 - mmseg - INFO - Iter [118150/160000] lr: 2.491e-06, eta: 6:48:55, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1844, decode.loss_mask: 0.4519, decode.loss_dice: 0.6733, decode.d0.loss_cls: 1.2796, decode.d0.loss_mask: 0.4857, decode.d0.loss_dice: 0.7578, decode.d1.loss_cls: 0.2648, decode.d1.loss_mask: 0.4696, decode.d1.loss_dice: 0.7135, decode.d2.loss_cls: 0.2195, decode.d2.loss_mask: 0.4608, decode.d2.loss_dice: 0.7001, decode.d3.loss_cls: 0.2053, decode.d3.loss_mask: 0.4559, decode.d3.loss_dice: 0.6843, decode.d4.loss_cls: 0.1981, decode.d4.loss_mask: 0.4539, decode.d4.loss_dice: 0.6817, decode.d5.loss_cls: 0.1923, decode.d5.loss_mask: 0.4542, decode.d5.loss_dice: 0.6820, decode.d6.loss_cls: 0.1912, decode.d6.loss_mask: 0.4546, decode.d6.loss_dice: 0.6777, decode.d7.loss_cls: 0.1950, decode.d7.loss_mask: 0.4527, decode.d7.loss_dice: 0.6749, decode.d8.loss_cls: 0.1883, decode.d8.loss_mask: 0.4541, decode.d8.loss_dice: 0.6781, loss: 14.6353, grad_norm: 70.3165 2023-11-22 16:30:25,554 - mmseg - INFO - Iter [118200/160000] lr: 2.488e-06, eta: 6:48:26, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.2128, decode.loss_mask: 0.4633, decode.loss_dice: 0.7025, decode.d0.loss_cls: 1.2921, decode.d0.loss_mask: 0.5009, decode.d0.loss_dice: 0.7715, decode.d1.loss_cls: 0.2867, decode.d1.loss_mask: 0.4818, decode.d1.loss_dice: 0.7361, decode.d2.loss_cls: 0.2407, decode.d2.loss_mask: 0.4708, decode.d2.loss_dice: 0.7189, decode.d3.loss_cls: 0.2283, decode.d3.loss_mask: 0.4671, decode.d3.loss_dice: 0.7068, decode.d4.loss_cls: 0.2214, decode.d4.loss_mask: 0.4671, decode.d4.loss_dice: 0.7051, decode.d5.loss_cls: 0.2156, decode.d5.loss_mask: 0.4639, decode.d5.loss_dice: 0.7040, decode.d6.loss_cls: 0.2176, decode.d6.loss_mask: 0.4640, decode.d6.loss_dice: 0.6989, decode.d7.loss_cls: 0.2089, decode.d7.loss_mask: 0.4639, decode.d7.loss_dice: 0.7021, decode.d8.loss_cls: 0.2147, decode.d8.loss_mask: 0.4621, decode.d8.loss_dice: 0.7002, loss: 15.1900, grad_norm: 71.5249 2023-11-22 16:30:53,895 - mmseg - INFO - Iter [118250/160000] lr: 2.485e-06, eta: 6:47:56, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2005, decode.loss_mask: 0.4520, decode.loss_dice: 0.7051, decode.d0.loss_cls: 1.3103, decode.d0.loss_mask: 0.4856, decode.d0.loss_dice: 0.7810, decode.d1.loss_cls: 0.2856, decode.d1.loss_mask: 0.4683, decode.d1.loss_dice: 0.7457, decode.d2.loss_cls: 0.2373, decode.d2.loss_mask: 0.4559, decode.d2.loss_dice: 0.7260, decode.d3.loss_cls: 0.2178, decode.d3.loss_mask: 0.4533, decode.d3.loss_dice: 0.7133, decode.d4.loss_cls: 0.2145, decode.d4.loss_mask: 0.4530, decode.d4.loss_dice: 0.7113, decode.d5.loss_cls: 0.2057, decode.d5.loss_mask: 0.4523, decode.d5.loss_dice: 0.7047, decode.d6.loss_cls: 0.2073, decode.d6.loss_mask: 0.4522, decode.d6.loss_dice: 0.7047, decode.d7.loss_cls: 0.2015, decode.d7.loss_mask: 0.4518, decode.d7.loss_dice: 0.7028, decode.d8.loss_cls: 0.1996, decode.d8.loss_mask: 0.4523, decode.d8.loss_dice: 0.7086, loss: 15.0601, grad_norm: 67.8235 2023-11-22 16:31:22,369 - mmseg - INFO - Iter [118300/160000] lr: 2.482e-06, eta: 6:47:26, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1898, decode.loss_mask: 0.4550, decode.loss_dice: 0.6896, decode.d0.loss_cls: 1.2928, decode.d0.loss_mask: 0.4894, decode.d0.loss_dice: 0.7657, decode.d1.loss_cls: 0.2724, decode.d1.loss_mask: 0.4703, decode.d1.loss_dice: 0.7289, decode.d2.loss_cls: 0.2307, decode.d2.loss_mask: 0.4618, decode.d2.loss_dice: 0.7069, decode.d3.loss_cls: 0.2031, decode.d3.loss_mask: 0.4578, decode.d3.loss_dice: 0.6933, decode.d4.loss_cls: 0.2006, decode.d4.loss_mask: 0.4563, decode.d4.loss_dice: 0.6912, decode.d5.loss_cls: 0.1965, decode.d5.loss_mask: 0.4553, decode.d5.loss_dice: 0.6892, decode.d6.loss_cls: 0.1925, decode.d6.loss_mask: 0.4542, decode.d6.loss_dice: 0.6855, decode.d7.loss_cls: 0.1896, decode.d7.loss_mask: 0.4529, decode.d7.loss_dice: 0.6890, decode.d8.loss_cls: 0.1895, decode.d8.loss_mask: 0.4532, decode.d8.loss_dice: 0.6864, loss: 14.7894, grad_norm: 68.5905 2023-11-22 16:31:50,656 - mmseg - INFO - Iter [118350/160000] lr: 2.479e-06, eta: 6:46:57, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1854, decode.loss_mask: 0.4563, decode.loss_dice: 0.6865, decode.d0.loss_cls: 1.2714, decode.d0.loss_mask: 0.4885, decode.d0.loss_dice: 0.7692, decode.d1.loss_cls: 0.2684, decode.d1.loss_mask: 0.4713, decode.d1.loss_dice: 0.7256, decode.d2.loss_cls: 0.2187, decode.d2.loss_mask: 0.4620, decode.d2.loss_dice: 0.7041, decode.d3.loss_cls: 0.2055, decode.d3.loss_mask: 0.4586, decode.d3.loss_dice: 0.6930, decode.d4.loss_cls: 0.1978, decode.d4.loss_mask: 0.4561, decode.d4.loss_dice: 0.6914, decode.d5.loss_cls: 0.1926, decode.d5.loss_mask: 0.4572, decode.d5.loss_dice: 0.6944, decode.d6.loss_cls: 0.1907, decode.d6.loss_mask: 0.4556, decode.d6.loss_dice: 0.6866, decode.d7.loss_cls: 0.1915, decode.d7.loss_mask: 0.4546, decode.d7.loss_dice: 0.6838, decode.d8.loss_cls: 0.1873, decode.d8.loss_mask: 0.4562, decode.d8.loss_dice: 0.6858, loss: 14.7458, grad_norm: 68.1181 2023-11-22 16:32:19,190 - mmseg - INFO - Iter [118400/160000] lr: 2.477e-06, eta: 6:46:27, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1842, decode.loss_mask: 0.4712, decode.loss_dice: 0.6886, decode.d0.loss_cls: 1.2639, decode.d0.loss_mask: 0.5047, decode.d0.loss_dice: 0.7533, decode.d1.loss_cls: 0.2810, decode.d1.loss_mask: 0.4884, decode.d1.loss_dice: 0.7225, decode.d2.loss_cls: 0.2259, decode.d2.loss_mask: 0.4810, decode.d2.loss_dice: 0.7043, decode.d3.loss_cls: 0.2052, decode.d3.loss_mask: 0.4744, decode.d3.loss_dice: 0.6931, decode.d4.loss_cls: 0.2029, decode.d4.loss_mask: 0.4735, decode.d4.loss_dice: 0.6910, decode.d5.loss_cls: 0.1985, decode.d5.loss_mask: 0.4725, decode.d5.loss_dice: 0.6923, decode.d6.loss_cls: 0.1985, decode.d6.loss_mask: 0.4700, decode.d6.loss_dice: 0.6880, decode.d7.loss_cls: 0.1907, decode.d7.loss_mask: 0.4717, decode.d7.loss_dice: 0.6895, decode.d8.loss_cls: 0.1887, decode.d8.loss_mask: 0.4723, decode.d8.loss_dice: 0.6885, loss: 14.9305, grad_norm: 69.5749 2023-11-22 16:32:47,583 - mmseg - INFO - Iter [118450/160000] lr: 2.474e-06, eta: 6:45:58, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2043, decode.loss_mask: 0.4516, decode.loss_dice: 0.6987, decode.d0.loss_cls: 1.3145, decode.d0.loss_mask: 0.4799, decode.d0.loss_dice: 0.7699, decode.d1.loss_cls: 0.2821, decode.d1.loss_mask: 0.4639, decode.d1.loss_dice: 0.7313, decode.d2.loss_cls: 0.2384, decode.d2.loss_mask: 0.4578, decode.d2.loss_dice: 0.7162, decode.d3.loss_cls: 0.2200, decode.d3.loss_mask: 0.4545, decode.d3.loss_dice: 0.7068, decode.d4.loss_cls: 0.2142, decode.d4.loss_mask: 0.4555, decode.d4.loss_dice: 0.7091, decode.d5.loss_cls: 0.2133, decode.d5.loss_mask: 0.4528, decode.d5.loss_dice: 0.7000, decode.d6.loss_cls: 0.2098, decode.d6.loss_mask: 0.4533, decode.d6.loss_dice: 0.7048, decode.d7.loss_cls: 0.2083, decode.d7.loss_mask: 0.4517, decode.d7.loss_dice: 0.6994, decode.d8.loss_cls: 0.2033, decode.d8.loss_mask: 0.4524, decode.d8.loss_dice: 0.7022, loss: 15.0201, grad_norm: 66.2526 2023-11-22 16:33:15,891 - mmseg - INFO - Iter [118500/160000] lr: 2.471e-06, eta: 6:45:28, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1889, decode.loss_mask: 0.4737, decode.loss_dice: 0.6875, decode.d0.loss_cls: 1.2591, decode.d0.loss_mask: 0.5101, decode.d0.loss_dice: 0.7604, decode.d1.loss_cls: 0.2605, decode.d1.loss_mask: 0.4937, decode.d1.loss_dice: 0.7244, decode.d2.loss_cls: 0.2178, decode.d2.loss_mask: 0.4803, decode.d2.loss_dice: 0.7042, decode.d3.loss_cls: 0.2030, decode.d3.loss_mask: 0.4758, decode.d3.loss_dice: 0.6919, decode.d4.loss_cls: 0.1972, decode.d4.loss_mask: 0.4752, decode.d4.loss_dice: 0.6900, decode.d5.loss_cls: 0.1930, decode.d5.loss_mask: 0.4739, decode.d5.loss_dice: 0.6904, decode.d6.loss_cls: 0.1938, decode.d6.loss_mask: 0.4734, decode.d6.loss_dice: 0.6879, decode.d7.loss_cls: 0.1934, decode.d7.loss_mask: 0.4743, decode.d7.loss_dice: 0.6848, decode.d8.loss_cls: 0.1888, decode.d8.loss_mask: 0.4745, decode.d8.loss_dice: 0.6877, loss: 14.9094, grad_norm: 68.8962 2023-11-22 16:33:44,209 - mmseg - INFO - Iter [118550/160000] lr: 2.468e-06, eta: 6:44:58, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1871, decode.loss_mask: 0.4346, decode.loss_dice: 0.6766, decode.d0.loss_cls: 1.3038, decode.d0.loss_mask: 0.4698, decode.d0.loss_dice: 0.7502, decode.d1.loss_cls: 0.2738, decode.d1.loss_mask: 0.4531, decode.d1.loss_dice: 0.7130, decode.d2.loss_cls: 0.2281, decode.d2.loss_mask: 0.4410, decode.d2.loss_dice: 0.6942, decode.d3.loss_cls: 0.2110, decode.d3.loss_mask: 0.4371, decode.d3.loss_dice: 0.6796, decode.d4.loss_cls: 0.2024, decode.d4.loss_mask: 0.4368, decode.d4.loss_dice: 0.6823, decode.d5.loss_cls: 0.1963, decode.d5.loss_mask: 0.4373, decode.d5.loss_dice: 0.6806, decode.d6.loss_cls: 0.1978, decode.d6.loss_mask: 0.4353, decode.d6.loss_dice: 0.6745, decode.d7.loss_cls: 0.1929, decode.d7.loss_mask: 0.4348, decode.d7.loss_dice: 0.6742, decode.d8.loss_cls: 0.1921, decode.d8.loss_mask: 0.4342, decode.d8.loss_dice: 0.6769, loss: 14.5015, grad_norm: 65.4608 2023-11-22 16:34:12,581 - mmseg - INFO - Iter [118600/160000] lr: 2.465e-06, eta: 6:44:29, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2054, decode.loss_mask: 0.4463, decode.loss_dice: 0.6763, decode.d0.loss_cls: 1.2982, decode.d0.loss_mask: 0.4808, decode.d0.loss_dice: 0.7633, decode.d1.loss_cls: 0.2882, decode.d1.loss_mask: 0.4645, decode.d1.loss_dice: 0.7243, decode.d2.loss_cls: 0.2380, decode.d2.loss_mask: 0.4554, decode.d2.loss_dice: 0.7011, decode.d3.loss_cls: 0.2238, decode.d3.loss_mask: 0.4513, decode.d3.loss_dice: 0.6907, decode.d4.loss_cls: 0.2222, decode.d4.loss_mask: 0.4505, decode.d4.loss_dice: 0.6878, decode.d5.loss_cls: 0.2156, decode.d5.loss_mask: 0.4481, decode.d5.loss_dice: 0.6855, decode.d6.loss_cls: 0.2143, decode.d6.loss_mask: 0.4460, decode.d6.loss_dice: 0.6793, decode.d7.loss_cls: 0.2095, decode.d7.loss_mask: 0.4475, decode.d7.loss_dice: 0.6777, decode.d8.loss_cls: 0.2060, decode.d8.loss_mask: 0.4461, decode.d8.loss_dice: 0.6812, loss: 14.8251, grad_norm: 70.1583 2023-11-22 16:34:40,705 - mmseg - INFO - Iter [118650/160000] lr: 2.462e-06, eta: 6:43:59, time: 0.562, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2067, decode.loss_mask: 0.4669, decode.loss_dice: 0.6981, decode.d0.loss_cls: 1.3025, decode.d0.loss_mask: 0.5010, decode.d0.loss_dice: 0.7716, decode.d1.loss_cls: 0.2895, decode.d1.loss_mask: 0.4806, decode.d1.loss_dice: 0.7315, decode.d2.loss_cls: 0.2433, decode.d2.loss_mask: 0.4759, decode.d2.loss_dice: 0.7146, decode.d3.loss_cls: 0.2269, decode.d3.loss_mask: 0.4696, decode.d3.loss_dice: 0.7038, decode.d4.loss_cls: 0.2197, decode.d4.loss_mask: 0.4690, decode.d4.loss_dice: 0.7029, decode.d5.loss_cls: 0.2191, decode.d5.loss_mask: 0.4680, decode.d5.loss_dice: 0.7006, decode.d6.loss_cls: 0.2206, decode.d6.loss_mask: 0.4655, decode.d6.loss_dice: 0.6932, decode.d7.loss_cls: 0.2086, decode.d7.loss_mask: 0.4670, decode.d7.loss_dice: 0.6974, decode.d8.loss_cls: 0.2071, decode.d8.loss_mask: 0.4677, decode.d8.loss_dice: 0.7011, loss: 15.1900, grad_norm: 71.7184 2023-11-22 16:35:09,210 - mmseg - INFO - Iter [118700/160000] lr: 2.459e-06, eta: 6:43:29, time: 0.570, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1841, decode.loss_mask: 0.4493, decode.loss_dice: 0.6771, decode.d0.loss_cls: 1.2417, decode.d0.loss_mask: 0.4882, decode.d0.loss_dice: 0.7478, decode.d1.loss_cls: 0.2586, decode.d1.loss_mask: 0.4668, decode.d1.loss_dice: 0.7111, decode.d2.loss_cls: 0.2168, decode.d2.loss_mask: 0.4593, decode.d2.loss_dice: 0.6960, decode.d3.loss_cls: 0.1962, decode.d3.loss_mask: 0.4547, decode.d3.loss_dice: 0.6840, decode.d4.loss_cls: 0.1955, decode.d4.loss_mask: 0.4532, decode.d4.loss_dice: 0.6821, decode.d5.loss_cls: 0.1896, decode.d5.loss_mask: 0.4513, decode.d5.loss_dice: 0.6809, decode.d6.loss_cls: 0.1897, decode.d6.loss_mask: 0.4500, decode.d6.loss_dice: 0.6763, decode.d7.loss_cls: 0.1883, decode.d7.loss_mask: 0.4504, decode.d7.loss_dice: 0.6804, decode.d8.loss_cls: 0.1863, decode.d8.loss_mask: 0.4494, decode.d8.loss_dice: 0.6825, loss: 14.5375, grad_norm: 66.3826 2023-11-22 16:35:39,943 - mmseg - INFO - Iter [118750/160000] lr: 2.456e-06, eta: 6:43:00, time: 0.615, data_time: 0.059, memory: 38143, decode.loss_cls: 0.1970, decode.loss_mask: 0.4558, decode.loss_dice: 0.7077, decode.d0.loss_cls: 1.2928, decode.d0.loss_mask: 0.4894, decode.d0.loss_dice: 0.7767, decode.d1.loss_cls: 0.2875, decode.d1.loss_mask: 0.4691, decode.d1.loss_dice: 0.7377, decode.d2.loss_cls: 0.2413, decode.d2.loss_mask: 0.4630, decode.d2.loss_dice: 0.7205, decode.d3.loss_cls: 0.2186, decode.d3.loss_mask: 0.4591, decode.d3.loss_dice: 0.7100, decode.d4.loss_cls: 0.2091, decode.d4.loss_mask: 0.4582, decode.d4.loss_dice: 0.7134, decode.d5.loss_cls: 0.2062, decode.d5.loss_mask: 0.4582, decode.d5.loss_dice: 0.7109, decode.d6.loss_cls: 0.2021, decode.d6.loss_mask: 0.4588, decode.d6.loss_dice: 0.7081, decode.d7.loss_cls: 0.2014, decode.d7.loss_mask: 0.4597, decode.d7.loss_dice: 0.7090, decode.d8.loss_cls: 0.1998, decode.d8.loss_mask: 0.4575, decode.d8.loss_dice: 0.7083, loss: 15.0870, grad_norm: 65.1356 2023-11-22 16:36:08,403 - mmseg - INFO - Iter [118800/160000] lr: 2.453e-06, eta: 6:42:31, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1974, decode.loss_mask: 0.4592, decode.loss_dice: 0.6940, decode.d0.loss_cls: 1.3148, decode.d0.loss_mask: 0.4946, decode.d0.loss_dice: 0.7654, decode.d1.loss_cls: 0.2776, decode.d1.loss_mask: 0.4789, decode.d1.loss_dice: 0.7274, decode.d2.loss_cls: 0.2356, decode.d2.loss_mask: 0.4703, decode.d2.loss_dice: 0.7107, decode.d3.loss_cls: 0.2156, decode.d3.loss_mask: 0.4636, decode.d3.loss_dice: 0.7035, decode.d4.loss_cls: 0.2090, decode.d4.loss_mask: 0.4637, decode.d4.loss_dice: 0.6973, decode.d5.loss_cls: 0.2096, decode.d5.loss_mask: 0.4607, decode.d5.loss_dice: 0.6949, decode.d6.loss_cls: 0.2058, decode.d6.loss_mask: 0.4595, decode.d6.loss_dice: 0.6926, decode.d7.loss_cls: 0.1987, decode.d7.loss_mask: 0.4613, decode.d7.loss_dice: 0.6914, decode.d8.loss_cls: 0.1978, decode.d8.loss_mask: 0.4616, decode.d8.loss_dice: 0.6923, loss: 15.0047, grad_norm: 73.0300 2023-11-22 16:36:36,672 - mmseg - INFO - Iter [118850/160000] lr: 2.450e-06, eta: 6:42:01, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1949, decode.loss_mask: 0.4446, decode.loss_dice: 0.6747, decode.d0.loss_cls: 1.2727, decode.d0.loss_mask: 0.4790, decode.d0.loss_dice: 0.7496, decode.d1.loss_cls: 0.2784, decode.d1.loss_mask: 0.4636, decode.d1.loss_dice: 0.7149, decode.d2.loss_cls: 0.2280, decode.d2.loss_mask: 0.4547, decode.d2.loss_dice: 0.6972, decode.d3.loss_cls: 0.2136, decode.d3.loss_mask: 0.4494, decode.d3.loss_dice: 0.6837, decode.d4.loss_cls: 0.2084, decode.d4.loss_mask: 0.4488, decode.d4.loss_dice: 0.6810, decode.d5.loss_cls: 0.2033, decode.d5.loss_mask: 0.4476, decode.d5.loss_dice: 0.6821, decode.d6.loss_cls: 0.1990, decode.d6.loss_mask: 0.4471, decode.d6.loss_dice: 0.6790, decode.d7.loss_cls: 0.2000, decode.d7.loss_mask: 0.4453, decode.d7.loss_dice: 0.6767, decode.d8.loss_cls: 0.2010, decode.d8.loss_mask: 0.4453, decode.d8.loss_dice: 0.6770, loss: 14.6407, grad_norm: 73.9990 2023-11-22 16:37:05,078 - mmseg - INFO - Iter [118900/160000] lr: 2.447e-06, eta: 6:41:32, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1769, decode.loss_mask: 0.4473, decode.loss_dice: 0.6865, decode.d0.loss_cls: 1.3001, decode.d0.loss_mask: 0.4801, decode.d0.loss_dice: 0.7680, decode.d1.loss_cls: 0.2578, decode.d1.loss_mask: 0.4639, decode.d1.loss_dice: 0.7285, decode.d2.loss_cls: 0.2178, decode.d2.loss_mask: 0.4523, decode.d2.loss_dice: 0.7078, decode.d3.loss_cls: 0.1959, decode.d3.loss_mask: 0.4542, decode.d3.loss_dice: 0.6999, decode.d4.loss_cls: 0.1921, decode.d4.loss_mask: 0.4509, decode.d4.loss_dice: 0.6938, decode.d5.loss_cls: 0.1855, decode.d5.loss_mask: 0.4507, decode.d5.loss_dice: 0.6938, decode.d6.loss_cls: 0.1838, decode.d6.loss_mask: 0.4483, decode.d6.loss_dice: 0.6868, decode.d7.loss_cls: 0.1782, decode.d7.loss_mask: 0.4473, decode.d7.loss_dice: 0.6917, decode.d8.loss_cls: 0.1757, decode.d8.loss_mask: 0.4481, decode.d8.loss_dice: 0.6899, loss: 14.6537, grad_norm: 67.0615 2023-11-22 16:37:33,538 - mmseg - INFO - Iter [118950/160000] lr: 2.444e-06, eta: 6:41:02, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1975, decode.loss_mask: 0.4601, decode.loss_dice: 0.7006, decode.d0.loss_cls: 1.3200, decode.d0.loss_mask: 0.4895, decode.d0.loss_dice: 0.7828, decode.d1.loss_cls: 0.2794, decode.d1.loss_mask: 0.4794, decode.d1.loss_dice: 0.7473, decode.d2.loss_cls: 0.2367, decode.d2.loss_mask: 0.4680, decode.d2.loss_dice: 0.7236, decode.d3.loss_cls: 0.2144, decode.d3.loss_mask: 0.4650, decode.d3.loss_dice: 0.7084, decode.d4.loss_cls: 0.2067, decode.d4.loss_mask: 0.4636, decode.d4.loss_dice: 0.7025, decode.d5.loss_cls: 0.2057, decode.d5.loss_mask: 0.4612, decode.d5.loss_dice: 0.7030, decode.d6.loss_cls: 0.2000, decode.d6.loss_mask: 0.4596, decode.d6.loss_dice: 0.7007, decode.d7.loss_cls: 0.2028, decode.d7.loss_mask: 0.4595, decode.d7.loss_dice: 0.6978, decode.d8.loss_cls: 0.1964, decode.d8.loss_mask: 0.4614, decode.d8.loss_dice: 0.7040, loss: 15.0976, grad_norm: 72.3368 2023-11-22 16:38:02,257 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 16:38:02,257 - mmseg - INFO - Iter [119000/160000] lr: 2.441e-06, eta: 6:40:32, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1883, decode.loss_mask: 0.4601, decode.loss_dice: 0.6936, decode.d0.loss_cls: 1.2921, decode.d0.loss_mask: 0.4927, decode.d0.loss_dice: 0.7755, decode.d1.loss_cls: 0.2540, decode.d1.loss_mask: 0.4759, decode.d1.loss_dice: 0.7324, decode.d2.loss_cls: 0.2247, decode.d2.loss_mask: 0.4663, decode.d2.loss_dice: 0.7138, decode.d3.loss_cls: 0.2044, decode.d3.loss_mask: 0.4623, decode.d3.loss_dice: 0.6990, decode.d4.loss_cls: 0.2001, decode.d4.loss_mask: 0.4616, decode.d4.loss_dice: 0.6982, decode.d5.loss_cls: 0.1887, decode.d5.loss_mask: 0.4632, decode.d5.loss_dice: 0.6970, decode.d6.loss_cls: 0.1950, decode.d6.loss_mask: 0.4606, decode.d6.loss_dice: 0.7003, decode.d7.loss_cls: 0.1958, decode.d7.loss_mask: 0.4605, decode.d7.loss_dice: 0.6967, decode.d8.loss_cls: 0.1888, decode.d8.loss_mask: 0.4604, decode.d8.loss_dice: 0.6952, loss: 14.8975, grad_norm: 69.5228 2023-11-22 16:38:30,657 - mmseg - INFO - Iter [119050/160000] lr: 2.438e-06, eta: 6:40:03, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1922, decode.loss_mask: 0.4572, decode.loss_dice: 0.7109, decode.d0.loss_cls: 1.2821, decode.d0.loss_mask: 0.4888, decode.d0.loss_dice: 0.7895, decode.d1.loss_cls: 0.2779, decode.d1.loss_mask: 0.4730, decode.d1.loss_dice: 0.7431, decode.d2.loss_cls: 0.2287, decode.d2.loss_mask: 0.4644, decode.d2.loss_dice: 0.7303, decode.d3.loss_cls: 0.2151, decode.d3.loss_mask: 0.4610, decode.d3.loss_dice: 0.7175, decode.d4.loss_cls: 0.2001, decode.d4.loss_mask: 0.4609, decode.d4.loss_dice: 0.7201, decode.d5.loss_cls: 0.2057, decode.d5.loss_mask: 0.4602, decode.d5.loss_dice: 0.7134, decode.d6.loss_cls: 0.2017, decode.d6.loss_mask: 0.4574, decode.d6.loss_dice: 0.7111, decode.d7.loss_cls: 0.1998, decode.d7.loss_mask: 0.4576, decode.d7.loss_dice: 0.7100, decode.d8.loss_cls: 0.1956, decode.d8.loss_mask: 0.4571, decode.d8.loss_dice: 0.7158, loss: 15.0981, grad_norm: 71.4611 2023-11-22 16:38:59,013 - mmseg - INFO - Iter [119100/160000] lr: 2.435e-06, eta: 6:39:33, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1779, decode.loss_mask: 0.4645, decode.loss_dice: 0.6715, decode.d0.loss_cls: 1.2464, decode.d0.loss_mask: 0.5024, decode.d0.loss_dice: 0.7510, decode.d1.loss_cls: 0.2574, decode.d1.loss_mask: 0.4841, decode.d1.loss_dice: 0.7047, decode.d2.loss_cls: 0.2117, decode.d2.loss_mask: 0.4706, decode.d2.loss_dice: 0.6910, decode.d3.loss_cls: 0.2005, decode.d3.loss_mask: 0.4676, decode.d3.loss_dice: 0.6762, decode.d4.loss_cls: 0.1905, decode.d4.loss_mask: 0.4677, decode.d4.loss_dice: 0.6762, decode.d5.loss_cls: 0.1845, decode.d5.loss_mask: 0.4660, decode.d5.loss_dice: 0.6735, decode.d6.loss_cls: 0.1825, decode.d6.loss_mask: 0.4647, decode.d6.loss_dice: 0.6718, decode.d7.loss_cls: 0.1786, decode.d7.loss_mask: 0.4650, decode.d7.loss_dice: 0.6735, decode.d8.loss_cls: 0.1817, decode.d8.loss_mask: 0.4640, decode.d8.loss_dice: 0.6717, loss: 14.5894, grad_norm: 70.3338 2023-11-22 16:39:27,280 - mmseg - INFO - Iter [119150/160000] lr: 2.432e-06, eta: 6:39:04, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2039, decode.loss_mask: 0.4563, decode.loss_dice: 0.6915, decode.d0.loss_cls: 1.3188, decode.d0.loss_mask: 0.4912, decode.d0.loss_dice: 0.7647, decode.d1.loss_cls: 0.2824, decode.d1.loss_mask: 0.4735, decode.d1.loss_dice: 0.7282, decode.d2.loss_cls: 0.2362, decode.d2.loss_mask: 0.4639, decode.d2.loss_dice: 0.7106, decode.d3.loss_cls: 0.2181, decode.d3.loss_mask: 0.4603, decode.d3.loss_dice: 0.6920, decode.d4.loss_cls: 0.2100, decode.d4.loss_mask: 0.4594, decode.d4.loss_dice: 0.6953, decode.d5.loss_cls: 0.2106, decode.d5.loss_mask: 0.4584, decode.d5.loss_dice: 0.6939, decode.d6.loss_cls: 0.2042, decode.d6.loss_mask: 0.4572, decode.d6.loss_dice: 0.6897, decode.d7.loss_cls: 0.2065, decode.d7.loss_mask: 0.4562, decode.d7.loss_dice: 0.6900, decode.d8.loss_cls: 0.2056, decode.d8.loss_mask: 0.4572, decode.d8.loss_dice: 0.6904, loss: 14.9762, grad_norm: 68.2445 2023-11-22 16:39:55,947 - mmseg - INFO - Iter [119200/160000] lr: 2.429e-06, eta: 6:38:34, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2016, decode.loss_mask: 0.4609, decode.loss_dice: 0.6852, decode.d0.loss_cls: 1.2761, decode.d0.loss_mask: 0.4964, decode.d0.loss_dice: 0.7621, decode.d1.loss_cls: 0.2780, decode.d1.loss_mask: 0.4788, decode.d1.loss_dice: 0.7218, decode.d2.loss_cls: 0.2400, decode.d2.loss_mask: 0.4686, decode.d2.loss_dice: 0.7053, decode.d3.loss_cls: 0.2238, decode.d3.loss_mask: 0.4617, decode.d3.loss_dice: 0.6927, decode.d4.loss_cls: 0.2143, decode.d4.loss_mask: 0.4622, decode.d4.loss_dice: 0.6911, decode.d5.loss_cls: 0.2061, decode.d5.loss_mask: 0.4619, decode.d5.loss_dice: 0.6952, decode.d6.loss_cls: 0.2042, decode.d6.loss_mask: 0.4608, decode.d6.loss_dice: 0.6878, decode.d7.loss_cls: 0.2046, decode.d7.loss_mask: 0.4613, decode.d7.loss_dice: 0.6863, decode.d8.loss_cls: 0.2037, decode.d8.loss_mask: 0.4613, decode.d8.loss_dice: 0.6859, loss: 14.9399, grad_norm: 69.6419 2023-11-22 16:40:24,445 - mmseg - INFO - Iter [119250/160000] lr: 2.426e-06, eta: 6:38:04, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1833, decode.loss_mask: 0.4425, decode.loss_dice: 0.6774, decode.d0.loss_cls: 1.2541, decode.d0.loss_mask: 0.4751, decode.d0.loss_dice: 0.7490, decode.d1.loss_cls: 0.2577, decode.d1.loss_mask: 0.4635, decode.d1.loss_dice: 0.7072, decode.d2.loss_cls: 0.2143, decode.d2.loss_mask: 0.4504, decode.d2.loss_dice: 0.6903, decode.d3.loss_cls: 0.2009, decode.d3.loss_mask: 0.4477, decode.d3.loss_dice: 0.6819, decode.d4.loss_cls: 0.1924, decode.d4.loss_mask: 0.4476, decode.d4.loss_dice: 0.6793, decode.d5.loss_cls: 0.1897, decode.d5.loss_mask: 0.4456, decode.d5.loss_dice: 0.6769, decode.d6.loss_cls: 0.1872, decode.d6.loss_mask: 0.4463, decode.d6.loss_dice: 0.6756, decode.d7.loss_cls: 0.1845, decode.d7.loss_mask: 0.4436, decode.d7.loss_dice: 0.6733, decode.d8.loss_cls: 0.1859, decode.d8.loss_mask: 0.4431, decode.d8.loss_dice: 0.6709, loss: 14.4371, grad_norm: 67.4674 2023-11-22 16:40:53,251 - mmseg - INFO - Iter [119300/160000] lr: 2.423e-06, eta: 6:37:35, time: 0.576, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1724, decode.loss_mask: 0.4488, decode.loss_dice: 0.6784, decode.d0.loss_cls: 1.2688, decode.d0.loss_mask: 0.4828, decode.d0.loss_dice: 0.7429, decode.d1.loss_cls: 0.2536, decode.d1.loss_mask: 0.4623, decode.d1.loss_dice: 0.7121, decode.d2.loss_cls: 0.2084, decode.d2.loss_mask: 0.4556, decode.d2.loss_dice: 0.6958, decode.d3.loss_cls: 0.1874, decode.d3.loss_mask: 0.4522, decode.d3.loss_dice: 0.6844, decode.d4.loss_cls: 0.1816, decode.d4.loss_mask: 0.4516, decode.d4.loss_dice: 0.6872, decode.d5.loss_cls: 0.1749, decode.d5.loss_mask: 0.4499, decode.d5.loss_dice: 0.6846, decode.d6.loss_cls: 0.1769, decode.d6.loss_mask: 0.4493, decode.d6.loss_dice: 0.6818, decode.d7.loss_cls: 0.1755, decode.d7.loss_mask: 0.4492, decode.d7.loss_dice: 0.6814, decode.d8.loss_cls: 0.1737, decode.d8.loss_mask: 0.4490, decode.d8.loss_dice: 0.6784, loss: 14.4509, grad_norm: 63.5428 2023-11-22 16:41:21,743 - mmseg - INFO - Iter [119350/160000] lr: 2.420e-06, eta: 6:37:05, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1871, decode.loss_mask: 0.4667, decode.loss_dice: 0.6871, decode.d0.loss_cls: 1.2841, decode.d0.loss_mask: 0.5014, decode.d0.loss_dice: 0.7653, decode.d1.loss_cls: 0.2580, decode.d1.loss_mask: 0.4803, decode.d1.loss_dice: 0.7247, decode.d2.loss_cls: 0.2242, decode.d2.loss_mask: 0.4743, decode.d2.loss_dice: 0.7059, decode.d3.loss_cls: 0.2088, decode.d3.loss_mask: 0.4713, decode.d3.loss_dice: 0.6898, decode.d4.loss_cls: 0.1960, decode.d4.loss_mask: 0.4711, decode.d4.loss_dice: 0.6929, decode.d5.loss_cls: 0.1923, decode.d5.loss_mask: 0.4680, decode.d5.loss_dice: 0.6877, decode.d6.loss_cls: 0.1897, decode.d6.loss_mask: 0.4660, decode.d6.loss_dice: 0.6838, decode.d7.loss_cls: 0.1885, decode.d7.loss_mask: 0.4664, decode.d7.loss_dice: 0.6854, decode.d8.loss_cls: 0.1896, decode.d8.loss_mask: 0.4662, decode.d8.loss_dice: 0.6867, loss: 14.8593, grad_norm: 69.8365 2023-11-22 16:41:49,906 - mmseg - INFO - Iter [119400/160000] lr: 2.417e-06, eta: 6:36:36, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1798, decode.loss_mask: 0.4536, decode.loss_dice: 0.6838, decode.d0.loss_cls: 1.2726, decode.d0.loss_mask: 0.4887, decode.d0.loss_dice: 0.7574, decode.d1.loss_cls: 0.2542, decode.d1.loss_mask: 0.4704, decode.d1.loss_dice: 0.7161, decode.d2.loss_cls: 0.2113, decode.d2.loss_mask: 0.4619, decode.d2.loss_dice: 0.6985, decode.d3.loss_cls: 0.1975, decode.d3.loss_mask: 0.4572, decode.d3.loss_dice: 0.6893, decode.d4.loss_cls: 0.1900, decode.d4.loss_mask: 0.4570, decode.d4.loss_dice: 0.6904, decode.d5.loss_cls: 0.1906, decode.d5.loss_mask: 0.4577, decode.d5.loss_dice: 0.6890, decode.d6.loss_cls: 0.1878, decode.d6.loss_mask: 0.4558, decode.d6.loss_dice: 0.6832, decode.d7.loss_cls: 0.1889, decode.d7.loss_mask: 0.4545, decode.d7.loss_dice: 0.6828, decode.d8.loss_cls: 0.1832, decode.d8.loss_mask: 0.4534, decode.d8.loss_dice: 0.6811, loss: 14.6376, grad_norm: 68.9770 2023-11-22 16:42:18,053 - mmseg - INFO - Iter [119450/160000] lr: 2.414e-06, eta: 6:36:06, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1946, decode.loss_mask: 0.4500, decode.loss_dice: 0.6731, decode.d0.loss_cls: 1.2793, decode.d0.loss_mask: 0.4875, decode.d0.loss_dice: 0.7513, decode.d1.loss_cls: 0.2712, decode.d1.loss_mask: 0.4672, decode.d1.loss_dice: 0.7083, decode.d2.loss_cls: 0.2248, decode.d2.loss_mask: 0.4608, decode.d2.loss_dice: 0.6957, decode.d3.loss_cls: 0.2175, decode.d3.loss_mask: 0.4544, decode.d3.loss_dice: 0.6820, decode.d4.loss_cls: 0.2079, decode.d4.loss_mask: 0.4538, decode.d4.loss_dice: 0.6829, decode.d5.loss_cls: 0.2022, decode.d5.loss_mask: 0.4530, decode.d5.loss_dice: 0.6809, decode.d6.loss_cls: 0.2016, decode.d6.loss_mask: 0.4518, decode.d6.loss_dice: 0.6756, decode.d7.loss_cls: 0.2003, decode.d7.loss_mask: 0.4517, decode.d7.loss_dice: 0.6739, decode.d8.loss_cls: 0.1936, decode.d8.loss_mask: 0.4502, decode.d8.loss_dice: 0.6763, loss: 14.6732, grad_norm: 68.6317 2023-11-22 16:42:46,207 - mmseg - INFO - Iter [119500/160000] lr: 2.411e-06, eta: 6:35:36, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1869, decode.loss_mask: 0.4483, decode.loss_dice: 0.6818, decode.d0.loss_cls: 1.3006, decode.d0.loss_mask: 0.4779, decode.d0.loss_dice: 0.7611, decode.d1.loss_cls: 0.2713, decode.d1.loss_mask: 0.4620, decode.d1.loss_dice: 0.7161, decode.d2.loss_cls: 0.2196, decode.d2.loss_mask: 0.4534, decode.d2.loss_dice: 0.7045, decode.d3.loss_cls: 0.2060, decode.d3.loss_mask: 0.4509, decode.d3.loss_dice: 0.6914, decode.d4.loss_cls: 0.1989, decode.d4.loss_mask: 0.4516, decode.d4.loss_dice: 0.6907, decode.d5.loss_cls: 0.1936, decode.d5.loss_mask: 0.4521, decode.d5.loss_dice: 0.6866, decode.d6.loss_cls: 0.1916, decode.d6.loss_mask: 0.4489, decode.d6.loss_dice: 0.6838, decode.d7.loss_cls: 0.1913, decode.d7.loss_mask: 0.4501, decode.d7.loss_dice: 0.6851, decode.d8.loss_cls: 0.1899, decode.d8.loss_mask: 0.4490, decode.d8.loss_dice: 0.6838, loss: 14.6789, grad_norm: 68.2412 2023-11-22 16:43:14,521 - mmseg - INFO - Iter [119550/160000] lr: 2.408e-06, eta: 6:35:07, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2060, decode.loss_mask: 0.4526, decode.loss_dice: 0.6878, decode.d0.loss_cls: 1.3008, decode.d0.loss_mask: 0.4831, decode.d0.loss_dice: 0.7652, decode.d1.loss_cls: 0.2807, decode.d1.loss_mask: 0.4691, decode.d1.loss_dice: 0.7300, decode.d2.loss_cls: 0.2358, decode.d2.loss_mask: 0.4568, decode.d2.loss_dice: 0.7100, decode.d3.loss_cls: 0.2233, decode.d3.loss_mask: 0.4559, decode.d3.loss_dice: 0.6976, decode.d4.loss_cls: 0.2154, decode.d4.loss_mask: 0.4549, decode.d4.loss_dice: 0.6922, decode.d5.loss_cls: 0.2087, decode.d5.loss_mask: 0.4553, decode.d5.loss_dice: 0.6943, decode.d6.loss_cls: 0.2078, decode.d6.loss_mask: 0.4545, decode.d6.loss_dice: 0.6880, decode.d7.loss_cls: 0.2070, decode.d7.loss_mask: 0.4543, decode.d7.loss_dice: 0.6896, decode.d8.loss_cls: 0.2030, decode.d8.loss_mask: 0.4529, decode.d8.loss_dice: 0.6935, loss: 14.9260, grad_norm: 65.8547 2023-11-22 16:43:43,031 - mmseg - INFO - Iter [119600/160000] lr: 2.405e-06, eta: 6:34:37, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1862, decode.loss_mask: 0.4446, decode.loss_dice: 0.6917, decode.d0.loss_cls: 1.2590, decode.d0.loss_mask: 0.4743, decode.d0.loss_dice: 0.7697, decode.d1.loss_cls: 0.2598, decode.d1.loss_mask: 0.4589, decode.d1.loss_dice: 0.7289, decode.d2.loss_cls: 0.2254, decode.d2.loss_mask: 0.4514, decode.d2.loss_dice: 0.7103, decode.d3.loss_cls: 0.2090, decode.d3.loss_mask: 0.4462, decode.d3.loss_dice: 0.6963, decode.d4.loss_cls: 0.2051, decode.d4.loss_mask: 0.4450, decode.d4.loss_dice: 0.6964, decode.d5.loss_cls: 0.2006, decode.d5.loss_mask: 0.4449, decode.d5.loss_dice: 0.6921, decode.d6.loss_cls: 0.1944, decode.d6.loss_mask: 0.4453, decode.d6.loss_dice: 0.6956, decode.d7.loss_cls: 0.1916, decode.d7.loss_mask: 0.4444, decode.d7.loss_dice: 0.6949, decode.d8.loss_cls: 0.1907, decode.d8.loss_mask: 0.4435, decode.d8.loss_dice: 0.6948, loss: 14.6913, grad_norm: 69.8202 2023-11-22 16:44:11,443 - mmseg - INFO - Iter [119650/160000] lr: 2.402e-06, eta: 6:34:07, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2193, decode.loss_mask: 0.4813, decode.loss_dice: 0.7124, decode.d0.loss_cls: 1.3128, decode.d0.loss_mask: 0.5187, decode.d0.loss_dice: 0.7907, decode.d1.loss_cls: 0.2933, decode.d1.loss_mask: 0.4988, decode.d1.loss_dice: 0.7499, decode.d2.loss_cls: 0.2506, decode.d2.loss_mask: 0.4898, decode.d2.loss_dice: 0.7313, decode.d3.loss_cls: 0.2310, decode.d3.loss_mask: 0.4842, decode.d3.loss_dice: 0.7151, decode.d4.loss_cls: 0.2312, decode.d4.loss_mask: 0.4835, decode.d4.loss_dice: 0.7162, decode.d5.loss_cls: 0.2251, decode.d5.loss_mask: 0.4825, decode.d5.loss_dice: 0.7108, decode.d6.loss_cls: 0.2187, decode.d6.loss_mask: 0.4815, decode.d6.loss_dice: 0.7136, decode.d7.loss_cls: 0.2227, decode.d7.loss_mask: 0.4804, decode.d7.loss_dice: 0.7110, decode.d8.loss_cls: 0.2181, decode.d8.loss_mask: 0.4799, decode.d8.loss_dice: 0.7150, loss: 15.5692, grad_norm: 71.7614 2023-11-22 16:44:39,578 - mmseg - INFO - Iter [119700/160000] lr: 2.399e-06, eta: 6:33:38, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1909, decode.loss_mask: 0.4339, decode.loss_dice: 0.6612, decode.d0.loss_cls: 1.2934, decode.d0.loss_mask: 0.4634, decode.d0.loss_dice: 0.7329, decode.d1.loss_cls: 0.2830, decode.d1.loss_mask: 0.4489, decode.d1.loss_dice: 0.6915, decode.d2.loss_cls: 0.2257, decode.d2.loss_mask: 0.4431, decode.d2.loss_dice: 0.6800, decode.d3.loss_cls: 0.2167, decode.d3.loss_mask: 0.4378, decode.d3.loss_dice: 0.6623, decode.d4.loss_cls: 0.2090, decode.d4.loss_mask: 0.4354, decode.d4.loss_dice: 0.6609, decode.d5.loss_cls: 0.2011, decode.d5.loss_mask: 0.4365, decode.d5.loss_dice: 0.6579, decode.d6.loss_cls: 0.1973, decode.d6.loss_mask: 0.4347, decode.d6.loss_dice: 0.6572, decode.d7.loss_cls: 0.1964, decode.d7.loss_mask: 0.4332, decode.d7.loss_dice: 0.6585, decode.d8.loss_cls: 0.1931, decode.d8.loss_mask: 0.4335, decode.d8.loss_dice: 0.6561, loss: 14.3256, grad_norm: 62.8241 2023-11-22 16:45:07,725 - mmseg - INFO - Iter [119750/160000] lr: 2.396e-06, eta: 6:33:08, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1790, decode.loss_mask: 0.4459, decode.loss_dice: 0.6723, decode.d0.loss_cls: 1.2463, decode.d0.loss_mask: 0.4786, decode.d0.loss_dice: 0.7452, decode.d1.loss_cls: 0.2572, decode.d1.loss_mask: 0.4627, decode.d1.loss_dice: 0.7086, decode.d2.loss_cls: 0.2052, decode.d2.loss_mask: 0.4510, decode.d2.loss_dice: 0.6893, decode.d3.loss_cls: 0.1942, decode.d3.loss_mask: 0.4465, decode.d3.loss_dice: 0.6773, decode.d4.loss_cls: 0.1906, decode.d4.loss_mask: 0.4466, decode.d4.loss_dice: 0.6788, decode.d5.loss_cls: 0.1820, decode.d5.loss_mask: 0.4468, decode.d5.loss_dice: 0.6757, decode.d6.loss_cls: 0.1814, decode.d6.loss_mask: 0.4472, decode.d6.loss_dice: 0.6719, decode.d7.loss_cls: 0.1784, decode.d7.loss_mask: 0.4474, decode.d7.loss_dice: 0.6759, decode.d8.loss_cls: 0.1770, decode.d8.loss_mask: 0.4467, decode.d8.loss_dice: 0.6745, loss: 14.3804, grad_norm: 66.1781 2023-11-22 16:45:35,986 - mmseg - INFO - Iter [119800/160000] lr: 2.393e-06, eta: 6:32:38, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1822, decode.loss_mask: 0.4600, decode.loss_dice: 0.7048, decode.d0.loss_cls: 1.2625, decode.d0.loss_mask: 0.4961, decode.d0.loss_dice: 0.7761, decode.d1.loss_cls: 0.2585, decode.d1.loss_mask: 0.4764, decode.d1.loss_dice: 0.7394, decode.d2.loss_cls: 0.2171, decode.d2.loss_mask: 0.4666, decode.d2.loss_dice: 0.7160, decode.d3.loss_cls: 0.1966, decode.d3.loss_mask: 0.4609, decode.d3.loss_dice: 0.7070, decode.d4.loss_cls: 0.1911, decode.d4.loss_mask: 0.4600, decode.d4.loss_dice: 0.7047, decode.d5.loss_cls: 0.1811, decode.d5.loss_mask: 0.4617, decode.d5.loss_dice: 0.7062, decode.d6.loss_cls: 0.1842, decode.d6.loss_mask: 0.4586, decode.d6.loss_dice: 0.7025, decode.d7.loss_cls: 0.1799, decode.d7.loss_mask: 0.4595, decode.d7.loss_dice: 0.7022, decode.d8.loss_cls: 0.1825, decode.d8.loss_mask: 0.4602, decode.d8.loss_dice: 0.7008, loss: 14.8554, grad_norm: 67.7542 2023-11-22 16:46:04,424 - mmseg - INFO - Iter [119850/160000] lr: 2.390e-06, eta: 6:32:09, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1895, decode.loss_mask: 0.4267, decode.loss_dice: 0.6710, decode.d0.loss_cls: 1.3096, decode.d0.loss_mask: 0.4573, decode.d0.loss_dice: 0.7450, decode.d1.loss_cls: 0.2843, decode.d1.loss_mask: 0.4388, decode.d1.loss_dice: 0.7039, decode.d2.loss_cls: 0.2244, decode.d2.loss_mask: 0.4318, decode.d2.loss_dice: 0.6846, decode.d3.loss_cls: 0.2134, decode.d3.loss_mask: 0.4280, decode.d3.loss_dice: 0.6691, decode.d4.loss_cls: 0.2007, decode.d4.loss_mask: 0.4286, decode.d4.loss_dice: 0.6716, decode.d5.loss_cls: 0.1958, decode.d5.loss_mask: 0.4271, decode.d5.loss_dice: 0.6697, decode.d6.loss_cls: 0.1906, decode.d6.loss_mask: 0.4269, decode.d6.loss_dice: 0.6690, decode.d7.loss_cls: 0.1920, decode.d7.loss_mask: 0.4257, decode.d7.loss_dice: 0.6671, decode.d8.loss_cls: 0.1876, decode.d8.loss_mask: 0.4259, decode.d8.loss_dice: 0.6692, loss: 14.3248, grad_norm: 69.6998 2023-11-22 16:46:32,968 - mmseg - INFO - Iter [119900/160000] lr: 2.387e-06, eta: 6:31:39, time: 0.571, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1875, decode.loss_mask: 0.4759, decode.loss_dice: 0.7185, decode.d0.loss_cls: 1.2796, decode.d0.loss_mask: 0.5082, decode.d0.loss_dice: 0.7868, decode.d1.loss_cls: 0.2625, decode.d1.loss_mask: 0.4958, decode.d1.loss_dice: 0.7540, decode.d2.loss_cls: 0.2116, decode.d2.loss_mask: 0.4845, decode.d2.loss_dice: 0.7309, decode.d3.loss_cls: 0.1961, decode.d3.loss_mask: 0.4829, decode.d3.loss_dice: 0.7201, decode.d4.loss_cls: 0.1890, decode.d4.loss_mask: 0.4807, decode.d4.loss_dice: 0.7190, decode.d5.loss_cls: 0.1861, decode.d5.loss_mask: 0.4782, decode.d5.loss_dice: 0.7208, decode.d6.loss_cls: 0.1857, decode.d6.loss_mask: 0.4777, decode.d6.loss_dice: 0.7192, decode.d7.loss_cls: 0.1802, decode.d7.loss_mask: 0.4761, decode.d7.loss_dice: 0.7168, decode.d8.loss_cls: 0.1806, decode.d8.loss_mask: 0.4774, decode.d8.loss_dice: 0.7172, loss: 15.1995, grad_norm: 67.8321 2023-11-22 16:47:01,333 - mmseg - INFO - Iter [119950/160000] lr: 2.384e-06, eta: 6:31:10, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1800, decode.loss_mask: 0.4527, decode.loss_dice: 0.6629, decode.d0.loss_cls: 1.2558, decode.d0.loss_mask: 0.4882, decode.d0.loss_dice: 0.7401, decode.d1.loss_cls: 0.2632, decode.d1.loss_mask: 0.4669, decode.d1.loss_dice: 0.6953, decode.d2.loss_cls: 0.2151, decode.d2.loss_mask: 0.4608, decode.d2.loss_dice: 0.6815, decode.d3.loss_cls: 0.2021, decode.d3.loss_mask: 0.4570, decode.d3.loss_dice: 0.6743, decode.d4.loss_cls: 0.1948, decode.d4.loss_mask: 0.4553, decode.d4.loss_dice: 0.6692, decode.d5.loss_cls: 0.1846, decode.d5.loss_mask: 0.4541, decode.d5.loss_dice: 0.6734, decode.d6.loss_cls: 0.1809, decode.d6.loss_mask: 0.4535, decode.d6.loss_dice: 0.6684, decode.d7.loss_cls: 0.1835, decode.d7.loss_mask: 0.4528, decode.d7.loss_dice: 0.6677, decode.d8.loss_cls: 0.1809, decode.d8.loss_mask: 0.4533, decode.d8.loss_dice: 0.6643, loss: 14.4326, grad_norm: 65.0382 2023-11-22 16:47:31,965 - mmseg - INFO - Saving checkpoint at 120000 iterations 2023-11-22 16:47:40,444 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 16:47:40,445 - mmseg - INFO - Iter [120000/160000] lr: 2.381e-06, eta: 6:30:44, time: 0.782, data_time: 0.058, memory: 38143, decode.loss_cls: 0.1926, decode.loss_mask: 0.4591, decode.loss_dice: 0.7068, decode.d0.loss_cls: 1.2879, decode.d0.loss_mask: 0.4884, decode.d0.loss_dice: 0.7817, decode.d1.loss_cls: 0.2725, decode.d1.loss_mask: 0.4761, decode.d1.loss_dice: 0.7506, decode.d2.loss_cls: 0.2197, decode.d2.loss_mask: 0.4669, decode.d2.loss_dice: 0.7263, decode.d3.loss_cls: 0.2075, decode.d3.loss_mask: 0.4668, decode.d3.loss_dice: 0.7124, decode.d4.loss_cls: 0.1982, decode.d4.loss_mask: 0.4628, decode.d4.loss_dice: 0.7082, decode.d5.loss_cls: 0.1959, decode.d5.loss_mask: 0.4614, decode.d5.loss_dice: 0.7097, decode.d6.loss_cls: 0.1951, decode.d6.loss_mask: 0.4614, decode.d6.loss_dice: 0.7027, decode.d7.loss_cls: 0.1892, decode.d7.loss_mask: 0.4607, decode.d7.loss_dice: 0.7073, decode.d8.loss_cls: 0.1889, decode.d8.loss_mask: 0.4609, decode.d8.loss_dice: 0.7077, loss: 15.0251, grad_norm: 69.1710 2023-11-22 16:48:00,540 - mmseg - INFO - per class results: 2023-11-22 16:48:00,546 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.31 | 88.68 | | building | 83.37 | 90.23 | | sky | 95.05 | 97.63 | | floor | 84.7 | 91.61 | | tree | 76.25 | 88.58 | | ceiling | 85.76 | 92.55 | | road | 86.39 | 92.22 | | bed | 91.68 | 95.94 | | windowpane | 65.6 | 80.93 | | grass | 67.28 | 79.73 | | cabinet | 64.88 | 74.36 | | sidewalk | 65.93 | 81.68 | | person | 86.3 | 94.05 | | earth | 39.92 | 53.51 | | door | 56.05 | 71.33 | | table | 69.32 | 85.03 | | mountain | 57.95 | 75.07 | | plant | 55.12 | 66.24 | | curtain | 76.14 | 87.7 | | chair | 65.82 | 76.87 | | car | 87.56 | 93.73 | | water | 54.85 | 66.11 | | painting | 75.52 | 90.99 | | sofa | 76.87 | 89.63 | | shelf | 43.2 | 56.4 | | house | 43.95 | 82.96 | | sea | 63.78 | 90.37 | | mirror | 74.8 | 83.7 | | rug | 66.0 | 79.36 | | field | 33.16 | 61.74 | | armchair | 52.64 | 73.11 | | seat | 66.76 | 86.01 | | fence | 54.74 | 69.98 | | desk | 56.45 | 77.9 | | rock | 45.4 | 58.13 | | wardrobe | 49.26 | 71.88 | | lamp | 72.9 | 81.87 | | bathtub | 79.93 | 86.03 | | railing | 36.98 | 51.72 | | cushion | 68.54 | 77.65 | | base | 40.74 | 59.59 | | box | 33.19 | 43.6 | | column | 46.53 | 66.1 | | signboard | 40.65 | 57.09 | | chest of drawers | 40.46 | 65.34 | | counter | 41.33 | 49.44 | | sand | 53.15 | 71.29 | | sink | 81.31 | 86.6 | | skyscraper | 63.55 | 80.02 | | fireplace | 69.81 | 89.99 | | refrigerator | 85.6 | 90.87 | | grandstand | 42.33 | 77.46 | | path | 18.13 | 34.59 | | stairs | 38.83 | 49.24 | | runway | 72.69 | 94.82 | | case | 64.1 | 87.47 | | pool table | 94.27 | 97.45 | | pillow | 64.42 | 77.63 | | screen door | 80.13 | 85.02 | | stairway | 38.47 | 47.94 | | river | 16.79 | 31.85 | | bridge | 80.24 | 91.43 | | bookcase | 34.54 | 69.96 | | blind | 40.04 | 45.3 | | coffee table | 69.78 | 86.62 | | toilet | 91.26 | 93.92 | | flower | 46.85 | 66.97 | | book | 51.34 | 77.23 | | hill | 7.85 | 15.74 | | bench | 63.2 | 72.15 | | countertop | 66.23 | 79.09 | | stove | 88.04 | 91.32 | | palm | 55.12 | 81.09 | | kitchen island | 53.38 | 71.2 | | computer | 79.36 | 88.44 | | swivel chair | 45.55 | 66.53 | | boat | 37.79 | 57.34 | | bar | 58.96 | 69.52 | | arcade machine | 87.78 | 93.55 | | hovel | 46.7 | 49.39 | | bus | 94.9 | 97.25 | | towel | 78.75 | 89.85 | | light | 67.38 | 78.77 | | truck | 44.27 | 55.95 | | tower | 22.14 | 37.47 | | chandelier | 70.65 | 88.85 | | awning | 40.43 | 52.35 | | streetlight | 49.3 | 63.82 | | booth | 53.19 | 70.54 | | television receiver | 81.22 | 89.87 | | airplane | 66.28 | 80.12 | | dirt track | 22.27 | 33.76 | | apparel | 47.97 | 69.18 | | pole | 41.54 | 67.22 | | land | 5.86 | 6.65 | | bannister | 21.07 | 32.69 | | escalator | 61.16 | 75.65 | | ottoman | 56.87 | 75.53 | | bottle | 40.54 | 67.36 | | buffet | 53.96 | 70.15 | | poster | 25.85 | 48.34 | | stage | 23.92 | 47.07 | | van | 45.71 | 71.04 | | ship | 10.07 | 14.83 | | fountain | 21.54 | 21.86 | | conveyer belt | 74.21 | 93.91 | | canopy | 26.65 | 52.46 | | washer | 72.09 | 75.04 | | plaything | 43.17 | 58.8 | | swimming pool | 66.91 | 71.83 | | stool | 55.02 | 70.28 | | barrel | 89.98 | 98.13 | | basket | 44.4 | 59.99 | | waterfall | 81.75 | 94.34 | | tent | 89.76 | 98.17 | | bag | 22.66 | 31.48 | | minibike | 71.84 | 90.24 | | cradle | 90.89 | 97.48 | | oven | 25.21 | 70.22 | | ball | 60.24 | 68.99 | | food | 53.5 | 60.91 | | step | 25.36 | 33.53 | | tank | 63.44 | 66.07 | | trade name | 29.18 | 35.95 | | microwave | 42.26 | 46.09 | | pot | 59.01 | 73.3 | | animal | 58.66 | 59.83 | | bicycle | 63.46 | 79.82 | | lake | 53.65 | 63.67 | | dishwasher | 82.1 | 88.31 | | screen | 60.45 | 95.34 | | blanket | 38.28 | 51.34 | | sculpture | 59.51 | 89.59 | | hood | 66.79 | 78.47 | | sconce | 63.1 | 77.86 | | vase | 55.0 | 76.21 | | traffic light | 48.18 | 73.54 | | tray | 20.11 | 24.66 | | ashcan | 53.25 | 72.5 | | fan | 71.27 | 84.99 | | pier | 51.93 | 55.02 | | crt screen | 2.4 | 7.08 | | plate | 64.91 | 82.08 | | monitor | 1.84 | 2.16 | | bulletin board | 61.08 | 78.65 | | shower | 16.93 | 22.47 | | radiator | 69.86 | 82.57 | | glass | 24.61 | 27.5 | | clock | 53.24 | 68.94 | | flag | 50.04 | 56.95 | +---------------------+-------+-------+ 2023-11-22 16:48:00,546 - mmseg - INFO - Summary: 2023-11-22 16:48:00,546 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.03 | 56.09 | 69.71 | +-------+-------+-------+ 2023-11-22 16:48:00,726 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_l_640_160k_ade20k_ss/best_mIoU_iter_114000.pth was removed 2023-11-22 16:48:08,331 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_120000.pth. 2023-11-22 16:48:08,332 - mmseg - INFO - Best mIoU is 0.5609 at 120000 iter. 2023-11-22 16:48:08,332 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 16:48:08,332 - mmseg - INFO - Iter(val) [250] aAcc: 0.8503, mIoU: 0.5609, mAcc: 0.6971, IoU.wall: 0.8131, IoU.building: 0.8337, IoU.sky: 0.9505, IoU.floor: 0.8470, IoU.tree: 0.7625, IoU.ceiling: 0.8576, IoU.road: 0.8639, IoU.bed : 0.9168, IoU.windowpane: 0.6560, IoU.grass: 0.6728, IoU.cabinet: 0.6488, IoU.sidewalk: 0.6593, IoU.person: 0.8630, IoU.earth: 0.3992, IoU.door: 0.5605, IoU.table: 0.6932, IoU.mountain: 0.5795, IoU.plant: 0.5512, IoU.curtain: 0.7614, IoU.chair: 0.6582, IoU.car: 0.8756, IoU.water: 0.5485, IoU.painting: 0.7552, IoU.sofa: 0.7687, IoU.shelf: 0.4320, IoU.house: 0.4395, IoU.sea: 0.6378, IoU.mirror: 0.7480, IoU.rug: 0.6600, IoU.field: 0.3316, IoU.armchair: 0.5264, IoU.seat: 0.6676, IoU.fence: 0.5474, IoU.desk: 0.5645, IoU.rock: 0.4540, IoU.wardrobe: 0.4926, IoU.lamp: 0.7290, IoU.bathtub: 0.7993, IoU.railing: 0.3698, IoU.cushion: 0.6854, IoU.base: 0.4074, IoU.box: 0.3319, IoU.column: 0.4653, IoU.signboard: 0.4065, IoU.chest of drawers: 0.4046, IoU.counter: 0.4133, IoU.sand: 0.5315, IoU.sink: 0.8131, IoU.skyscraper: 0.6355, IoU.fireplace: 0.6981, IoU.refrigerator: 0.8560, IoU.grandstand: 0.4233, IoU.path: 0.1813, IoU.stairs: 0.3883, IoU.runway: 0.7269, IoU.case: 0.6410, IoU.pool table: 0.9427, IoU.pillow: 0.6442, IoU.screen door: 0.8013, IoU.stairway: 0.3847, IoU.river: 0.1679, IoU.bridge: 0.8024, IoU.bookcase: 0.3454, IoU.blind: 0.4004, IoU.coffee table: 0.6978, IoU.toilet: 0.9126, IoU.flower: 0.4685, IoU.book: 0.5134, IoU.hill: 0.0785, IoU.bench: 0.6320, IoU.countertop: 0.6623, IoU.stove: 0.8804, IoU.palm: 0.5512, IoU.kitchen island: 0.5338, IoU.computer: 0.7936, IoU.swivel chair: 0.4555, IoU.boat: 0.3779, IoU.bar: 0.5896, IoU.arcade machine: 0.8778, IoU.hovel: 0.4670, IoU.bus: 0.9490, IoU.towel: 0.7875, IoU.light: 0.6738, IoU.truck: 0.4427, IoU.tower: 0.2214, IoU.chandelier: 0.7065, IoU.awning: 0.4043, IoU.streetlight: 0.4930, IoU.booth: 0.5319, IoU.television receiver: 0.8122, IoU.airplane: 0.6628, IoU.dirt track: 0.2227, IoU.apparel: 0.4797, IoU.pole: 0.4154, IoU.land: 0.0586, IoU.bannister: 0.2107, IoU.escalator: 0.6116, IoU.ottoman: 0.5687, IoU.bottle: 0.4054, IoU.buffet: 0.5396, IoU.poster: 0.2585, IoU.stage: 0.2392, IoU.van: 0.4571, IoU.ship: 0.1007, IoU.fountain: 0.2154, IoU.conveyer belt: 0.7421, IoU.canopy: 0.2665, IoU.washer: 0.7209, IoU.plaything: 0.4317, IoU.swimming pool: 0.6691, IoU.stool: 0.5502, IoU.barrel: 0.8998, IoU.basket: 0.4440, IoU.waterfall: 0.8175, IoU.tent: 0.8976, IoU.bag: 0.2266, IoU.minibike: 0.7184, IoU.cradle: 0.9089, IoU.oven: 0.2521, IoU.ball: 0.6024, IoU.food: 0.5350, IoU.step: 0.2536, IoU.tank: 0.6344, IoU.trade name: 0.2918, IoU.microwave: 0.4226, IoU.pot: 0.5901, IoU.animal: 0.5866, IoU.bicycle: 0.6346, IoU.lake: 0.5365, IoU.dishwasher: 0.8210, IoU.screen: 0.6045, IoU.blanket: 0.3828, IoU.sculpture: 0.5951, IoU.hood: 0.6679, IoU.sconce: 0.6310, IoU.vase: 0.5500, IoU.traffic light: 0.4818, IoU.tray: 0.2011, IoU.ashcan: 0.5325, IoU.fan: 0.7127, IoU.pier: 0.5193, IoU.crt screen: 0.0240, IoU.plate: 0.6491, IoU.monitor: 0.0184, IoU.bulletin board: 0.6108, IoU.shower: 0.1693, IoU.radiator: 0.6986, IoU.glass: 0.2461, IoU.clock: 0.5324, IoU.flag: 0.5004, Acc.wall: 0.8868, Acc.building: 0.9023, Acc.sky: 0.9763, Acc.floor: 0.9161, Acc.tree: 0.8858, Acc.ceiling: 0.9255, Acc.road: 0.9222, Acc.bed : 0.9594, Acc.windowpane: 0.8093, Acc.grass: 0.7973, Acc.cabinet: 0.7436, Acc.sidewalk: 0.8168, Acc.person: 0.9405, Acc.earth: 0.5351, Acc.door: 0.7133, Acc.table: 0.8503, Acc.mountain: 0.7507, Acc.plant: 0.6624, Acc.curtain: 0.8770, Acc.chair: 0.7687, Acc.car: 0.9373, Acc.water: 0.6611, Acc.painting: 0.9099, Acc.sofa: 0.8963, Acc.shelf: 0.5640, Acc.house: 0.8296, Acc.sea: 0.9037, Acc.mirror: 0.8370, Acc.rug: 0.7936, Acc.field: 0.6174, Acc.armchair: 0.7311, Acc.seat: 0.8601, Acc.fence: 0.6998, Acc.desk: 0.7790, Acc.rock: 0.5813, Acc.wardrobe: 0.7188, Acc.lamp: 0.8187, Acc.bathtub: 0.8603, Acc.railing: 0.5172, Acc.cushion: 0.7765, Acc.base: 0.5959, Acc.box: 0.4360, Acc.column: 0.6610, Acc.signboard: 0.5709, Acc.chest of drawers: 0.6534, Acc.counter: 0.4944, Acc.sand: 0.7129, Acc.sink: 0.8660, Acc.skyscraper: 0.8002, Acc.fireplace: 0.8999, Acc.refrigerator: 0.9087, Acc.grandstand: 0.7746, Acc.path: 0.3459, Acc.stairs: 0.4924, Acc.runway: 0.9482, Acc.case: 0.8747, Acc.pool table: 0.9745, Acc.pillow: 0.7763, Acc.screen door: 0.8502, Acc.stairway: 0.4794, Acc.river: 0.3185, Acc.bridge: 0.9143, Acc.bookcase: 0.6996, Acc.blind: 0.4530, Acc.coffee table: 0.8662, Acc.toilet: 0.9392, Acc.flower: 0.6697, Acc.book: 0.7723, Acc.hill: 0.1574, Acc.bench: 0.7215, Acc.countertop: 0.7909, Acc.stove: 0.9132, Acc.palm: 0.8109, Acc.kitchen island: 0.7120, Acc.computer: 0.8844, Acc.swivel chair: 0.6653, Acc.boat: 0.5734, Acc.bar: 0.6952, Acc.arcade machine: 0.9355, Acc.hovel: 0.4939, Acc.bus: 0.9725, Acc.towel: 0.8985, Acc.light: 0.7877, Acc.truck: 0.5595, Acc.tower: 0.3747, Acc.chandelier: 0.8885, Acc.awning: 0.5235, Acc.streetlight: 0.6382, Acc.booth: 0.7054, Acc.television receiver: 0.8987, Acc.airplane: 0.8012, Acc.dirt track: 0.3376, Acc.apparel: 0.6918, Acc.pole: 0.6722, Acc.land: 0.0665, Acc.bannister: 0.3269, Acc.escalator: 0.7565, Acc.ottoman: 0.7553, Acc.bottle: 0.6736, Acc.buffet: 0.7015, Acc.poster: 0.4834, Acc.stage: 0.4707, Acc.van: 0.7104, Acc.ship: 0.1483, Acc.fountain: 0.2186, Acc.conveyer belt: 0.9391, Acc.canopy: 0.5246, Acc.washer: 0.7504, Acc.plaything: 0.5880, Acc.swimming pool: 0.7183, Acc.stool: 0.7028, Acc.barrel: 0.9813, Acc.basket: 0.5999, Acc.waterfall: 0.9434, Acc.tent: 0.9817, Acc.bag: 0.3148, Acc.minibike: 0.9024, Acc.cradle: 0.9748, Acc.oven: 0.7022, Acc.ball: 0.6899, Acc.food: 0.6091, Acc.step: 0.3353, Acc.tank: 0.6607, Acc.trade name: 0.3595, Acc.microwave: 0.4609, Acc.pot: 0.7330, Acc.animal: 0.5983, Acc.bicycle: 0.7982, Acc.lake: 0.6367, Acc.dishwasher: 0.8831, Acc.screen: 0.9534, Acc.blanket: 0.5134, Acc.sculpture: 0.8959, Acc.hood: 0.7847, Acc.sconce: 0.7786, Acc.vase: 0.7621, Acc.traffic light: 0.7354, Acc.tray: 0.2466, Acc.ashcan: 0.7250, Acc.fan: 0.8499, Acc.pier: 0.5502, Acc.crt screen: 0.0708, Acc.plate: 0.8208, Acc.monitor: 0.0216, Acc.bulletin board: 0.7865, Acc.shower: 0.2247, Acc.radiator: 0.8257, Acc.glass: 0.2750, Acc.clock: 0.6894, Acc.flag: 0.5695 2023-11-22 16:48:36,759 - mmseg - INFO - Iter [120050/160000] lr: 2.378e-06, eta: 6:30:23, time: 1.126, data_time: 0.571, memory: 38143, decode.loss_cls: 0.1837, decode.loss_mask: 0.4400, decode.loss_dice: 0.6826, decode.d0.loss_cls: 1.3000, decode.d0.loss_mask: 0.4755, decode.d0.loss_dice: 0.7614, decode.d1.loss_cls: 0.2629, decode.d1.loss_mask: 0.4556, decode.d1.loss_dice: 0.7184, decode.d2.loss_cls: 0.2150, decode.d2.loss_mask: 0.4482, decode.d2.loss_dice: 0.7018, decode.d3.loss_cls: 0.1962, decode.d3.loss_mask: 0.4446, decode.d3.loss_dice: 0.6889, decode.d4.loss_cls: 0.1932, decode.d4.loss_mask: 0.4440, decode.d4.loss_dice: 0.6862, decode.d5.loss_cls: 0.1893, decode.d5.loss_mask: 0.4432, decode.d5.loss_dice: 0.6847, decode.d6.loss_cls: 0.1875, decode.d6.loss_mask: 0.4419, decode.d6.loss_dice: 0.6829, decode.d7.loss_cls: 0.1852, decode.d7.loss_mask: 0.4406, decode.d7.loss_dice: 0.6835, decode.d8.loss_cls: 0.1817, decode.d8.loss_mask: 0.4394, decode.d8.loss_dice: 0.6851, loss: 14.5434, grad_norm: 63.6301 2023-11-22 16:49:05,183 - mmseg - INFO - Iter [120100/160000] lr: 2.375e-06, eta: 6:29:54, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2086, decode.loss_mask: 0.4602, decode.loss_dice: 0.7045, decode.d0.loss_cls: 1.3008, decode.d0.loss_mask: 0.4994, decode.d0.loss_dice: 0.7898, decode.d1.loss_cls: 0.2935, decode.d1.loss_mask: 0.4763, decode.d1.loss_dice: 0.7414, decode.d2.loss_cls: 0.2414, decode.d2.loss_mask: 0.4675, decode.d2.loss_dice: 0.7269, decode.d3.loss_cls: 0.2252, decode.d3.loss_mask: 0.4594, decode.d3.loss_dice: 0.7110, decode.d4.loss_cls: 0.2210, decode.d4.loss_mask: 0.4621, decode.d4.loss_dice: 0.7091, decode.d5.loss_cls: 0.2131, decode.d5.loss_mask: 0.4627, decode.d5.loss_dice: 0.7090, decode.d6.loss_cls: 0.2128, decode.d6.loss_mask: 0.4605, decode.d6.loss_dice: 0.7029, decode.d7.loss_cls: 0.2112, decode.d7.loss_mask: 0.4616, decode.d7.loss_dice: 0.7049, decode.d8.loss_cls: 0.2078, decode.d8.loss_mask: 0.4622, decode.d8.loss_dice: 0.7057, loss: 15.2123, grad_norm: 75.4206 2023-11-22 16:49:33,752 - mmseg - INFO - Iter [120150/160000] lr: 2.372e-06, eta: 6:29:24, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1733, decode.loss_mask: 0.4447, decode.loss_dice: 0.6682, decode.d0.loss_cls: 1.2690, decode.d0.loss_mask: 0.4766, decode.d0.loss_dice: 0.7335, decode.d1.loss_cls: 0.2461, decode.d1.loss_mask: 0.4621, decode.d1.loss_dice: 0.7044, decode.d2.loss_cls: 0.2036, decode.d2.loss_mask: 0.4492, decode.d2.loss_dice: 0.6828, decode.d3.loss_cls: 0.1848, decode.d3.loss_mask: 0.4452, decode.d3.loss_dice: 0.6706, decode.d4.loss_cls: 0.1790, decode.d4.loss_mask: 0.4473, decode.d4.loss_dice: 0.6773, decode.d5.loss_cls: 0.1752, decode.d5.loss_mask: 0.4481, decode.d5.loss_dice: 0.6755, decode.d6.loss_cls: 0.1787, decode.d6.loss_mask: 0.4457, decode.d6.loss_dice: 0.6691, decode.d7.loss_cls: 0.1761, decode.d7.loss_mask: 0.4446, decode.d7.loss_dice: 0.6693, decode.d8.loss_cls: 0.1774, decode.d8.loss_mask: 0.4448, decode.d8.loss_dice: 0.6642, loss: 14.2863, grad_norm: 61.4423 2023-11-22 16:50:02,193 - mmseg - INFO - Iter [120200/160000] lr: 2.369e-06, eta: 6:28:55, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1987, decode.loss_mask: 0.4502, decode.loss_dice: 0.6995, decode.d0.loss_cls: 1.3251, decode.d0.loss_mask: 0.4891, decode.d0.loss_dice: 0.7806, decode.d1.loss_cls: 0.2775, decode.d1.loss_mask: 0.4716, decode.d1.loss_dice: 0.7384, decode.d2.loss_cls: 0.2270, decode.d2.loss_mask: 0.4600, decode.d2.loss_dice: 0.7191, decode.d3.loss_cls: 0.2135, decode.d3.loss_mask: 0.4560, decode.d3.loss_dice: 0.7058, decode.d4.loss_cls: 0.2030, decode.d4.loss_mask: 0.4553, decode.d4.loss_dice: 0.7045, decode.d5.loss_cls: 0.2009, decode.d5.loss_mask: 0.4530, decode.d5.loss_dice: 0.7090, decode.d6.loss_cls: 0.2019, decode.d6.loss_mask: 0.4538, decode.d6.loss_dice: 0.7006, decode.d7.loss_cls: 0.1968, decode.d7.loss_mask: 0.4541, decode.d7.loss_dice: 0.7020, decode.d8.loss_cls: 0.1939, decode.d8.loss_mask: 0.4544, decode.d8.loss_dice: 0.7024, loss: 14.9974, grad_norm: 71.9071 2023-11-22 16:50:30,422 - mmseg - INFO - Iter [120250/160000] lr: 2.366e-06, eta: 6:28:25, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1913, decode.loss_mask: 0.4491, decode.loss_dice: 0.6750, decode.d0.loss_cls: 1.2753, decode.d0.loss_mask: 0.4841, decode.d0.loss_dice: 0.7453, decode.d1.loss_cls: 0.2677, decode.d1.loss_mask: 0.4666, decode.d1.loss_dice: 0.7100, decode.d2.loss_cls: 0.2246, decode.d2.loss_mask: 0.4586, decode.d2.loss_dice: 0.6906, decode.d3.loss_cls: 0.2071, decode.d3.loss_mask: 0.4526, decode.d3.loss_dice: 0.6822, decode.d4.loss_cls: 0.2010, decode.d4.loss_mask: 0.4528, decode.d4.loss_dice: 0.6800, decode.d5.loss_cls: 0.1966, decode.d5.loss_mask: 0.4500, decode.d5.loss_dice: 0.6788, decode.d6.loss_cls: 0.1923, decode.d6.loss_mask: 0.4504, decode.d6.loss_dice: 0.6760, decode.d7.loss_cls: 0.1903, decode.d7.loss_mask: 0.4514, decode.d7.loss_dice: 0.6759, decode.d8.loss_cls: 0.1903, decode.d8.loss_mask: 0.4498, decode.d8.loss_dice: 0.6775, loss: 14.5933, grad_norm: 67.3659 2023-11-22 16:50:58,685 - mmseg - INFO - Iter [120300/160000] lr: 2.363e-06, eta: 6:27:55, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1869, decode.loss_mask: 0.4440, decode.loss_dice: 0.6824, decode.d0.loss_cls: 1.2898, decode.d0.loss_mask: 0.4764, decode.d0.loss_dice: 0.7569, decode.d1.loss_cls: 0.2669, decode.d1.loss_mask: 0.4591, decode.d1.loss_dice: 0.7189, decode.d2.loss_cls: 0.2212, decode.d2.loss_mask: 0.4481, decode.d2.loss_dice: 0.7011, decode.d3.loss_cls: 0.2116, decode.d3.loss_mask: 0.4466, decode.d3.loss_dice: 0.6914, decode.d4.loss_cls: 0.2005, decode.d4.loss_mask: 0.4463, decode.d4.loss_dice: 0.6903, decode.d5.loss_cls: 0.1953, decode.d5.loss_mask: 0.4453, decode.d5.loss_dice: 0.6865, decode.d6.loss_cls: 0.1945, decode.d6.loss_mask: 0.4453, decode.d6.loss_dice: 0.6861, decode.d7.loss_cls: 0.1888, decode.d7.loss_mask: 0.4456, decode.d7.loss_dice: 0.6824, decode.d8.loss_cls: 0.1911, decode.d8.loss_mask: 0.4445, decode.d8.loss_dice: 0.6818, loss: 14.6257, grad_norm: 62.1790 2023-11-22 16:51:26,854 - mmseg - INFO - Iter [120350/160000] lr: 2.360e-06, eta: 6:27:26, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1913, decode.loss_mask: 0.4697, decode.loss_dice: 0.6971, decode.d0.loss_cls: 1.2825, decode.d0.loss_mask: 0.5049, decode.d0.loss_dice: 0.7772, decode.d1.loss_cls: 0.2762, decode.d1.loss_mask: 0.4874, decode.d1.loss_dice: 0.7358, decode.d2.loss_cls: 0.2331, decode.d2.loss_mask: 0.4774, decode.d2.loss_dice: 0.7152, decode.d3.loss_cls: 0.2052, decode.d3.loss_mask: 0.4754, decode.d3.loss_dice: 0.7075, decode.d4.loss_cls: 0.2008, decode.d4.loss_mask: 0.4744, decode.d4.loss_dice: 0.7049, decode.d5.loss_cls: 0.1945, decode.d5.loss_mask: 0.4726, decode.d5.loss_dice: 0.7052, decode.d6.loss_cls: 0.1965, decode.d6.loss_mask: 0.4713, decode.d6.loss_dice: 0.6949, decode.d7.loss_cls: 0.1919, decode.d7.loss_mask: 0.4714, decode.d7.loss_dice: 0.6954, decode.d8.loss_cls: 0.1905, decode.d8.loss_mask: 0.4696, decode.d8.loss_dice: 0.7008, loss: 15.0705, grad_norm: 69.2422 2023-11-22 16:51:55,371 - mmseg - INFO - Iter [120400/160000] lr: 2.357e-06, eta: 6:26:56, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2014, decode.loss_mask: 0.4361, decode.loss_dice: 0.6740, decode.d0.loss_cls: 1.3485, decode.d0.loss_mask: 0.4714, decode.d0.loss_dice: 0.7533, decode.d1.loss_cls: 0.2812, decode.d1.loss_mask: 0.4551, decode.d1.loss_dice: 0.7069, decode.d2.loss_cls: 0.2373, decode.d2.loss_mask: 0.4434, decode.d2.loss_dice: 0.6940, decode.d3.loss_cls: 0.2225, decode.d3.loss_mask: 0.4384, decode.d3.loss_dice: 0.6797, decode.d4.loss_cls: 0.2155, decode.d4.loss_mask: 0.4371, decode.d4.loss_dice: 0.6785, decode.d5.loss_cls: 0.2086, decode.d5.loss_mask: 0.4374, decode.d5.loss_dice: 0.6785, decode.d6.loss_cls: 0.2087, decode.d6.loss_mask: 0.4370, decode.d6.loss_dice: 0.6739, decode.d7.loss_cls: 0.2039, decode.d7.loss_mask: 0.4363, decode.d7.loss_dice: 0.6704, decode.d8.loss_cls: 0.2044, decode.d8.loss_mask: 0.4342, decode.d8.loss_dice: 0.6748, loss: 14.6425, grad_norm: 69.1515 2023-11-22 16:52:24,190 - mmseg - INFO - Iter [120450/160000] lr: 2.354e-06, eta: 6:26:26, time: 0.576, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2009, decode.loss_mask: 0.4513, decode.loss_dice: 0.6926, decode.d0.loss_cls: 1.3079, decode.d0.loss_mask: 0.4918, decode.d0.loss_dice: 0.7741, decode.d1.loss_cls: 0.2915, decode.d1.loss_mask: 0.4707, decode.d1.loss_dice: 0.7326, decode.d2.loss_cls: 0.2415, decode.d2.loss_mask: 0.4601, decode.d2.loss_dice: 0.7104, decode.d3.loss_cls: 0.2282, decode.d3.loss_mask: 0.4547, decode.d3.loss_dice: 0.6986, decode.d4.loss_cls: 0.2201, decode.d4.loss_mask: 0.4525, decode.d4.loss_dice: 0.7011, decode.d5.loss_cls: 0.2103, decode.d5.loss_mask: 0.4533, decode.d5.loss_dice: 0.6994, decode.d6.loss_cls: 0.2076, decode.d6.loss_mask: 0.4525, decode.d6.loss_dice: 0.6938, decode.d7.loss_cls: 0.2049, decode.d7.loss_mask: 0.4510, decode.d7.loss_dice: 0.6953, decode.d8.loss_cls: 0.2000, decode.d8.loss_mask: 0.4527, decode.d8.loss_dice: 0.6930, loss: 14.9945, grad_norm: 66.7614 2023-11-22 16:52:52,743 - mmseg - INFO - Iter [120500/160000] lr: 2.352e-06, eta: 6:25:57, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1827, decode.loss_mask: 0.4509, decode.loss_dice: 0.6715, decode.d0.loss_cls: 1.2341, decode.d0.loss_mask: 0.4883, decode.d0.loss_dice: 0.7576, decode.d1.loss_cls: 0.2625, decode.d1.loss_mask: 0.4720, decode.d1.loss_dice: 0.7131, decode.d2.loss_cls: 0.2198, decode.d2.loss_mask: 0.4622, decode.d2.loss_dice: 0.6972, decode.d3.loss_cls: 0.2041, decode.d3.loss_mask: 0.4577, decode.d3.loss_dice: 0.6820, decode.d4.loss_cls: 0.2008, decode.d4.loss_mask: 0.4553, decode.d4.loss_dice: 0.6799, decode.d5.loss_cls: 0.1944, decode.d5.loss_mask: 0.4536, decode.d5.loss_dice: 0.6776, decode.d6.loss_cls: 0.1869, decode.d6.loss_mask: 0.4525, decode.d6.loss_dice: 0.6754, decode.d7.loss_cls: 0.1833, decode.d7.loss_mask: 0.4509, decode.d7.loss_dice: 0.6738, decode.d8.loss_cls: 0.1818, decode.d8.loss_mask: 0.4514, decode.d8.loss_dice: 0.6722, loss: 14.5454, grad_norm: 71.7060 2023-11-22 16:53:21,140 - mmseg - INFO - Iter [120550/160000] lr: 2.349e-06, eta: 6:25:27, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1952, decode.loss_mask: 0.4521, decode.loss_dice: 0.6806, decode.d0.loss_cls: 1.3180, decode.d0.loss_mask: 0.4899, decode.d0.loss_dice: 0.7550, decode.d1.loss_cls: 0.2732, decode.d1.loss_mask: 0.4710, decode.d1.loss_dice: 0.7163, decode.d2.loss_cls: 0.2263, decode.d2.loss_mask: 0.4606, decode.d2.loss_dice: 0.6982, decode.d3.loss_cls: 0.2109, decode.d3.loss_mask: 0.4541, decode.d3.loss_dice: 0.6875, decode.d4.loss_cls: 0.2000, decode.d4.loss_mask: 0.4555, decode.d4.loss_dice: 0.6883, decode.d5.loss_cls: 0.1965, decode.d5.loss_mask: 0.4538, decode.d5.loss_dice: 0.6843, decode.d6.loss_cls: 0.1951, decode.d6.loss_mask: 0.4538, decode.d6.loss_dice: 0.6822, decode.d7.loss_cls: 0.1930, decode.d7.loss_mask: 0.4542, decode.d7.loss_dice: 0.6810, decode.d8.loss_cls: 0.1933, decode.d8.loss_mask: 0.4548, decode.d8.loss_dice: 0.6826, loss: 14.7573, grad_norm: 66.7946 2023-11-22 16:53:49,421 - mmseg - INFO - Iter [120600/160000] lr: 2.346e-06, eta: 6:24:58, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2071, decode.loss_mask: 0.4464, decode.loss_dice: 0.6805, decode.d0.loss_cls: 1.2794, decode.d0.loss_mask: 0.4882, decode.d0.loss_dice: 0.7613, decode.d1.loss_cls: 0.2873, decode.d1.loss_mask: 0.4647, decode.d1.loss_dice: 0.7168, decode.d2.loss_cls: 0.2415, decode.d2.loss_mask: 0.4542, decode.d2.loss_dice: 0.6975, decode.d3.loss_cls: 0.2205, decode.d3.loss_mask: 0.4508, decode.d3.loss_dice: 0.6844, decode.d4.loss_cls: 0.2180, decode.d4.loss_mask: 0.4476, decode.d4.loss_dice: 0.6868, decode.d5.loss_cls: 0.2121, decode.d5.loss_mask: 0.4484, decode.d5.loss_dice: 0.6803, decode.d6.loss_cls: 0.2099, decode.d6.loss_mask: 0.4477, decode.d6.loss_dice: 0.6825, decode.d7.loss_cls: 0.2087, decode.d7.loss_mask: 0.4471, decode.d7.loss_dice: 0.6792, decode.d8.loss_cls: 0.2057, decode.d8.loss_mask: 0.4473, decode.d8.loss_dice: 0.6837, loss: 14.7857, grad_norm: 64.5036 2023-11-22 16:54:17,919 - mmseg - INFO - Iter [120650/160000] lr: 2.343e-06, eta: 6:24:28, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1777, decode.loss_mask: 0.4567, decode.loss_dice: 0.6925, decode.d0.loss_cls: 1.2877, decode.d0.loss_mask: 0.4950, decode.d0.loss_dice: 0.7740, decode.d1.loss_cls: 0.2632, decode.d1.loss_mask: 0.4741, decode.d1.loss_dice: 0.7341, decode.d2.loss_cls: 0.2143, decode.d2.loss_mask: 0.4659, decode.d2.loss_dice: 0.7149, decode.d3.loss_cls: 0.1984, decode.d3.loss_mask: 0.4638, decode.d3.loss_dice: 0.7027, decode.d4.loss_cls: 0.1880, decode.d4.loss_mask: 0.4607, decode.d4.loss_dice: 0.7011, decode.d5.loss_cls: 0.1843, decode.d5.loss_mask: 0.4592, decode.d5.loss_dice: 0.7001, decode.d6.loss_cls: 0.1789, decode.d6.loss_mask: 0.4588, decode.d6.loss_dice: 0.6937, decode.d7.loss_cls: 0.1822, decode.d7.loss_mask: 0.4573, decode.d7.loss_dice: 0.6906, decode.d8.loss_cls: 0.1766, decode.d8.loss_mask: 0.4578, decode.d8.loss_dice: 0.6981, loss: 14.8029, grad_norm: 69.4156 2023-11-22 16:54:45,994 - mmseg - INFO - Iter [120700/160000] lr: 2.340e-06, eta: 6:23:58, time: 0.562, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1732, decode.loss_mask: 0.4624, decode.loss_dice: 0.6695, decode.d0.loss_cls: 1.2459, decode.d0.loss_mask: 0.4948, decode.d0.loss_dice: 0.7462, decode.d1.loss_cls: 0.2535, decode.d1.loss_mask: 0.4746, decode.d1.loss_dice: 0.7086, decode.d2.loss_cls: 0.2106, decode.d2.loss_mask: 0.4674, decode.d2.loss_dice: 0.6892, decode.d3.loss_cls: 0.1911, decode.d3.loss_mask: 0.4625, decode.d3.loss_dice: 0.6749, decode.d4.loss_cls: 0.1881, decode.d4.loss_mask: 0.4621, decode.d4.loss_dice: 0.6732, decode.d5.loss_cls: 0.1874, decode.d5.loss_mask: 0.4620, decode.d5.loss_dice: 0.6700, decode.d6.loss_cls: 0.1749, decode.d6.loss_mask: 0.4617, decode.d6.loss_dice: 0.6695, decode.d7.loss_cls: 0.1769, decode.d7.loss_mask: 0.4610, decode.d7.loss_dice: 0.6683, decode.d8.loss_cls: 0.1710, decode.d8.loss_mask: 0.4616, decode.d8.loss_dice: 0.6693, loss: 14.4815, grad_norm: 66.2598 2023-11-22 16:55:14,749 - mmseg - INFO - Iter [120750/160000] lr: 2.337e-06, eta: 6:23:29, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1853, decode.loss_mask: 0.4628, decode.loss_dice: 0.6770, decode.d0.loss_cls: 1.2497, decode.d0.loss_mask: 0.4981, decode.d0.loss_dice: 0.7465, decode.d1.loss_cls: 0.2528, decode.d1.loss_mask: 0.4777, decode.d1.loss_dice: 0.7178, decode.d2.loss_cls: 0.2184, decode.d2.loss_mask: 0.4666, decode.d2.loss_dice: 0.6945, decode.d3.loss_cls: 0.2018, decode.d3.loss_mask: 0.4657, decode.d3.loss_dice: 0.6808, decode.d4.loss_cls: 0.1911, decode.d4.loss_mask: 0.4635, decode.d4.loss_dice: 0.6814, decode.d5.loss_cls: 0.1905, decode.d5.loss_mask: 0.4621, decode.d5.loss_dice: 0.6823, decode.d6.loss_cls: 0.1837, decode.d6.loss_mask: 0.4642, decode.d6.loss_dice: 0.6784, decode.d7.loss_cls: 0.1856, decode.d7.loss_mask: 0.4632, decode.d7.loss_dice: 0.6797, decode.d8.loss_cls: 0.1880, decode.d8.loss_mask: 0.4621, decode.d8.loss_dice: 0.6755, loss: 14.6469, grad_norm: 63.2885 2023-11-22 16:55:43,109 - mmseg - INFO - Iter [120800/160000] lr: 2.334e-06, eta: 6:22:59, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1821, decode.loss_mask: 0.4669, decode.loss_dice: 0.6937, decode.d0.loss_cls: 1.2698, decode.d0.loss_mask: 0.5014, decode.d0.loss_dice: 0.7705, decode.d1.loss_cls: 0.2647, decode.d1.loss_mask: 0.4824, decode.d1.loss_dice: 0.7285, decode.d2.loss_cls: 0.2194, decode.d2.loss_mask: 0.4734, decode.d2.loss_dice: 0.7108, decode.d3.loss_cls: 0.1990, decode.d3.loss_mask: 0.4697, decode.d3.loss_dice: 0.6971, decode.d4.loss_cls: 0.1988, decode.d4.loss_mask: 0.4694, decode.d4.loss_dice: 0.6922, decode.d5.loss_cls: 0.1920, decode.d5.loss_mask: 0.4684, decode.d5.loss_dice: 0.6978, decode.d6.loss_cls: 0.1847, decode.d6.loss_mask: 0.4667, decode.d6.loss_dice: 0.6898, decode.d7.loss_cls: 0.1856, decode.d7.loss_mask: 0.4670, decode.d7.loss_dice: 0.6921, decode.d8.loss_cls: 0.1878, decode.d8.loss_mask: 0.4654, decode.d8.loss_dice: 0.6892, loss: 14.8761, grad_norm: 70.9009 2023-11-22 16:56:11,192 - mmseg - INFO - Iter [120850/160000] lr: 2.331e-06, eta: 6:22:30, time: 0.562, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1764, decode.loss_mask: 0.4548, decode.loss_dice: 0.6853, decode.d0.loss_cls: 1.2576, decode.d0.loss_mask: 0.4883, decode.d0.loss_dice: 0.7485, decode.d1.loss_cls: 0.2582, decode.d1.loss_mask: 0.4707, decode.d1.loss_dice: 0.7132, decode.d2.loss_cls: 0.2146, decode.d2.loss_mask: 0.4606, decode.d2.loss_dice: 0.6980, decode.d3.loss_cls: 0.2022, decode.d3.loss_mask: 0.4577, decode.d3.loss_dice: 0.6803, decode.d4.loss_cls: 0.1927, decode.d4.loss_mask: 0.4579, decode.d4.loss_dice: 0.6846, decode.d5.loss_cls: 0.1888, decode.d5.loss_mask: 0.4568, decode.d5.loss_dice: 0.6845, decode.d6.loss_cls: 0.1845, decode.d6.loss_mask: 0.4556, decode.d6.loss_dice: 0.6829, decode.d7.loss_cls: 0.1801, decode.d7.loss_mask: 0.4555, decode.d7.loss_dice: 0.6812, decode.d8.loss_cls: 0.1770, decode.d8.loss_mask: 0.4552, decode.d8.loss_dice: 0.6837, loss: 14.5875, grad_norm: 66.3486 2023-11-22 16:56:39,317 - mmseg - INFO - Iter [120900/160000] lr: 2.328e-06, eta: 6:22:00, time: 0.562, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1942, decode.loss_mask: 0.4524, decode.loss_dice: 0.6927, decode.d0.loss_cls: 1.2720, decode.d0.loss_mask: 0.4878, decode.d0.loss_dice: 0.7583, decode.d1.loss_cls: 0.2703, decode.d1.loss_mask: 0.4667, decode.d1.loss_dice: 0.7198, decode.d2.loss_cls: 0.2270, decode.d2.loss_mask: 0.4599, decode.d2.loss_dice: 0.7058, decode.d3.loss_cls: 0.2093, decode.d3.loss_mask: 0.4569, decode.d3.loss_dice: 0.6948, decode.d4.loss_cls: 0.2047, decode.d4.loss_mask: 0.4561, decode.d4.loss_dice: 0.6936, decode.d5.loss_cls: 0.2059, decode.d5.loss_mask: 0.4547, decode.d5.loss_dice: 0.6916, decode.d6.loss_cls: 0.1979, decode.d6.loss_mask: 0.4537, decode.d6.loss_dice: 0.6941, decode.d7.loss_cls: 0.2003, decode.d7.loss_mask: 0.4533, decode.d7.loss_dice: 0.6912, decode.d8.loss_cls: 0.1979, decode.d8.loss_mask: 0.4544, decode.d8.loss_dice: 0.6919, loss: 14.8092, grad_norm: 66.9649 2023-11-22 16:57:07,729 - mmseg - INFO - Iter [120950/160000] lr: 2.325e-06, eta: 6:21:30, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1794, decode.loss_mask: 0.4509, decode.loss_dice: 0.6772, decode.d0.loss_cls: 1.2896, decode.d0.loss_mask: 0.4854, decode.d0.loss_dice: 0.7453, decode.d1.loss_cls: 0.2605, decode.d1.loss_mask: 0.4723, decode.d1.loss_dice: 0.7130, decode.d2.loss_cls: 0.2084, decode.d2.loss_mask: 0.4601, decode.d2.loss_dice: 0.7014, decode.d3.loss_cls: 0.1942, decode.d3.loss_mask: 0.4570, decode.d3.loss_dice: 0.6838, decode.d4.loss_cls: 0.1968, decode.d4.loss_mask: 0.4526, decode.d4.loss_dice: 0.6833, decode.d5.loss_cls: 0.1826, decode.d5.loss_mask: 0.4519, decode.d5.loss_dice: 0.6816, decode.d6.loss_cls: 0.1847, decode.d6.loss_mask: 0.4518, decode.d6.loss_dice: 0.6787, decode.d7.loss_cls: 0.1778, decode.d7.loss_mask: 0.4534, decode.d7.loss_dice: 0.6798, decode.d8.loss_cls: 0.1767, decode.d8.loss_mask: 0.4506, decode.d8.loss_dice: 0.6792, loss: 14.5601, grad_norm: 68.3606 2023-11-22 16:57:35,933 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 16:57:35,933 - mmseg - INFO - Iter [121000/160000] lr: 2.322e-06, eta: 6:21:01, time: 0.564, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1687, decode.loss_mask: 0.4534, decode.loss_dice: 0.6630, decode.d0.loss_cls: 1.2465, decode.d0.loss_mask: 0.4840, decode.d0.loss_dice: 0.7341, decode.d1.loss_cls: 0.2390, decode.d1.loss_mask: 0.4714, decode.d1.loss_dice: 0.7017, decode.d2.loss_cls: 0.2020, decode.d2.loss_mask: 0.4623, decode.d2.loss_dice: 0.6865, decode.d3.loss_cls: 0.1904, decode.d3.loss_mask: 0.4570, decode.d3.loss_dice: 0.6729, decode.d4.loss_cls: 0.1795, decode.d4.loss_mask: 0.4550, decode.d4.loss_dice: 0.6725, decode.d5.loss_cls: 0.1738, decode.d5.loss_mask: 0.4544, decode.d5.loss_dice: 0.6714, decode.d6.loss_cls: 0.1745, decode.d6.loss_mask: 0.4533, decode.d6.loss_dice: 0.6673, decode.d7.loss_cls: 0.1720, decode.d7.loss_mask: 0.4533, decode.d7.loss_dice: 0.6650, decode.d8.loss_cls: 0.1695, decode.d8.loss_mask: 0.4538, decode.d8.loss_dice: 0.6655, loss: 14.3139, grad_norm: 71.7781 2023-11-22 16:58:04,628 - mmseg - INFO - Iter [121050/160000] lr: 2.319e-06, eta: 6:20:31, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1778, decode.loss_mask: 0.4665, decode.loss_dice: 0.6843, decode.d0.loss_cls: 1.2589, decode.d0.loss_mask: 0.4969, decode.d0.loss_dice: 0.7482, decode.d1.loss_cls: 0.2503, decode.d1.loss_mask: 0.4804, decode.d1.loss_dice: 0.7166, decode.d2.loss_cls: 0.2093, decode.d2.loss_mask: 0.4733, decode.d2.loss_dice: 0.6963, decode.d3.loss_cls: 0.1917, decode.d3.loss_mask: 0.4698, decode.d3.loss_dice: 0.6888, decode.d4.loss_cls: 0.1859, decode.d4.loss_mask: 0.4702, decode.d4.loss_dice: 0.6875, decode.d5.loss_cls: 0.1837, decode.d5.loss_mask: 0.4675, decode.d5.loss_dice: 0.6881, decode.d6.loss_cls: 0.1797, decode.d6.loss_mask: 0.4667, decode.d6.loss_dice: 0.6840, decode.d7.loss_cls: 0.1803, decode.d7.loss_mask: 0.4659, decode.d7.loss_dice: 0.6829, decode.d8.loss_cls: 0.1766, decode.d8.loss_mask: 0.4668, decode.d8.loss_dice: 0.6844, loss: 14.6794, grad_norm: 65.4600 2023-11-22 16:58:33,586 - mmseg - INFO - Iter [121100/160000] lr: 2.316e-06, eta: 6:20:02, time: 0.579, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1902, decode.loss_mask: 0.4454, decode.loss_dice: 0.6686, decode.d0.loss_cls: 1.3267, decode.d0.loss_mask: 0.4836, decode.d0.loss_dice: 0.7426, decode.d1.loss_cls: 0.2740, decode.d1.loss_mask: 0.4651, decode.d1.loss_dice: 0.7105, decode.d2.loss_cls: 0.2268, decode.d2.loss_mask: 0.4536, decode.d2.loss_dice: 0.6887, decode.d3.loss_cls: 0.2084, decode.d3.loss_mask: 0.4501, decode.d3.loss_dice: 0.6765, decode.d4.loss_cls: 0.2016, decode.d4.loss_mask: 0.4502, decode.d4.loss_dice: 0.6774, decode.d5.loss_cls: 0.1988, decode.d5.loss_mask: 0.4498, decode.d5.loss_dice: 0.6729, decode.d6.loss_cls: 0.1920, decode.d6.loss_mask: 0.4494, decode.d6.loss_dice: 0.6698, decode.d7.loss_cls: 0.1909, decode.d7.loss_mask: 0.4477, decode.d7.loss_dice: 0.6718, decode.d8.loss_cls: 0.1885, decode.d8.loss_mask: 0.4476, decode.d8.loss_dice: 0.6707, loss: 14.5899, grad_norm: 64.3296 2023-11-22 16:59:01,762 - mmseg - INFO - Iter [121150/160000] lr: 2.313e-06, eta: 6:19:32, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1928, decode.loss_mask: 0.4488, decode.loss_dice: 0.6818, decode.d0.loss_cls: 1.3011, decode.d0.loss_mask: 0.4855, decode.d0.loss_dice: 0.7594, decode.d1.loss_cls: 0.2688, decode.d1.loss_mask: 0.4619, decode.d1.loss_dice: 0.7144, decode.d2.loss_cls: 0.2245, decode.d2.loss_mask: 0.4535, decode.d2.loss_dice: 0.6931, decode.d3.loss_cls: 0.2101, decode.d3.loss_mask: 0.4499, decode.d3.loss_dice: 0.6809, decode.d4.loss_cls: 0.2018, decode.d4.loss_mask: 0.4504, decode.d4.loss_dice: 0.6860, decode.d5.loss_cls: 0.2027, decode.d5.loss_mask: 0.4499, decode.d5.loss_dice: 0.6823, decode.d6.loss_cls: 0.1929, decode.d6.loss_mask: 0.4485, decode.d6.loss_dice: 0.6783, decode.d7.loss_cls: 0.1906, decode.d7.loss_mask: 0.4490, decode.d7.loss_dice: 0.6773, decode.d8.loss_cls: 0.1967, decode.d8.loss_mask: 0.4478, decode.d8.loss_dice: 0.6779, loss: 14.6587, grad_norm: 67.1871 2023-11-22 16:59:30,034 - mmseg - INFO - Iter [121200/160000] lr: 2.310e-06, eta: 6:19:02, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1946, decode.loss_mask: 0.4567, decode.loss_dice: 0.6763, decode.d0.loss_cls: 1.2596, decode.d0.loss_mask: 0.4961, decode.d0.loss_dice: 0.7458, decode.d1.loss_cls: 0.2771, decode.d1.loss_mask: 0.4716, decode.d1.loss_dice: 0.7081, decode.d2.loss_cls: 0.2235, decode.d2.loss_mask: 0.4654, decode.d2.loss_dice: 0.6939, decode.d3.loss_cls: 0.2101, decode.d3.loss_mask: 0.4602, decode.d3.loss_dice: 0.6775, decode.d4.loss_cls: 0.1982, decode.d4.loss_mask: 0.4594, decode.d4.loss_dice: 0.6776, decode.d5.loss_cls: 0.1995, decode.d5.loss_mask: 0.4603, decode.d5.loss_dice: 0.6767, decode.d6.loss_cls: 0.1968, decode.d6.loss_mask: 0.4594, decode.d6.loss_dice: 0.6777, decode.d7.loss_cls: 0.1969, decode.d7.loss_mask: 0.4579, decode.d7.loss_dice: 0.6761, decode.d8.loss_cls: 0.1993, decode.d8.loss_mask: 0.4564, decode.d8.loss_dice: 0.6741, loss: 14.6825, grad_norm: 68.2008 2023-11-22 17:00:00,809 - mmseg - INFO - Iter [121250/160000] lr: 2.307e-06, eta: 6:18:33, time: 0.615, data_time: 0.059, memory: 38143, decode.loss_cls: 0.1800, decode.loss_mask: 0.4498, decode.loss_dice: 0.6684, decode.d0.loss_cls: 1.2787, decode.d0.loss_mask: 0.4884, decode.d0.loss_dice: 0.7549, decode.d1.loss_cls: 0.2610, decode.d1.loss_mask: 0.4657, decode.d1.loss_dice: 0.7048, decode.d2.loss_cls: 0.2099, decode.d2.loss_mask: 0.4539, decode.d2.loss_dice: 0.6828, decode.d3.loss_cls: 0.1948, decode.d3.loss_mask: 0.4509, decode.d3.loss_dice: 0.6760, decode.d4.loss_cls: 0.1930, decode.d4.loss_mask: 0.4501, decode.d4.loss_dice: 0.6751, decode.d5.loss_cls: 0.1839, decode.d5.loss_mask: 0.4506, decode.d5.loss_dice: 0.6752, decode.d6.loss_cls: 0.1853, decode.d6.loss_mask: 0.4516, decode.d6.loss_dice: 0.6679, decode.d7.loss_cls: 0.1790, decode.d7.loss_mask: 0.4493, decode.d7.loss_dice: 0.6723, decode.d8.loss_cls: 0.1801, decode.d8.loss_mask: 0.4498, decode.d8.loss_dice: 0.6680, loss: 14.4513, grad_norm: 61.8678 2023-11-22 17:00:29,211 - mmseg - INFO - Iter [121300/160000] lr: 2.304e-06, eta: 6:18:04, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2019, decode.loss_mask: 0.4475, decode.loss_dice: 0.6841, decode.d0.loss_cls: 1.3026, decode.d0.loss_mask: 0.4840, decode.d0.loss_dice: 0.7649, decode.d1.loss_cls: 0.2819, decode.d1.loss_mask: 0.4655, decode.d1.loss_dice: 0.7266, decode.d2.loss_cls: 0.2319, decode.d2.loss_mask: 0.4564, decode.d2.loss_dice: 0.7029, decode.d3.loss_cls: 0.2215, decode.d3.loss_mask: 0.4502, decode.d3.loss_dice: 0.6867, decode.d4.loss_cls: 0.2144, decode.d4.loss_mask: 0.4481, decode.d4.loss_dice: 0.6813, decode.d5.loss_cls: 0.2068, decode.d5.loss_mask: 0.4478, decode.d5.loss_dice: 0.6838, decode.d6.loss_cls: 0.2025, decode.d6.loss_mask: 0.4481, decode.d6.loss_dice: 0.6780, decode.d7.loss_cls: 0.1994, decode.d7.loss_mask: 0.4476, decode.d7.loss_dice: 0.6805, decode.d8.loss_cls: 0.2024, decode.d8.loss_mask: 0.4480, decode.d8.loss_dice: 0.6821, loss: 14.7797, grad_norm: 70.7339 2023-11-22 17:00:57,714 - mmseg - INFO - Iter [121350/160000] lr: 2.301e-06, eta: 6:17:34, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1955, decode.loss_mask: 0.4504, decode.loss_dice: 0.6854, decode.d0.loss_cls: 1.2834, decode.d0.loss_mask: 0.4849, decode.d0.loss_dice: 0.7575, decode.d1.loss_cls: 0.2669, decode.d1.loss_mask: 0.4682, decode.d1.loss_dice: 0.7177, decode.d2.loss_cls: 0.2331, decode.d2.loss_mask: 0.4556, decode.d2.loss_dice: 0.7008, decode.d3.loss_cls: 0.2137, decode.d3.loss_mask: 0.4545, decode.d3.loss_dice: 0.6899, decode.d4.loss_cls: 0.2046, decode.d4.loss_mask: 0.4538, decode.d4.loss_dice: 0.6914, decode.d5.loss_cls: 0.2027, decode.d5.loss_mask: 0.4537, decode.d5.loss_dice: 0.6921, decode.d6.loss_cls: 0.2005, decode.d6.loss_mask: 0.4531, decode.d6.loss_dice: 0.6884, decode.d7.loss_cls: 0.1966, decode.d7.loss_mask: 0.4515, decode.d7.loss_dice: 0.6828, decode.d8.loss_cls: 0.1956, decode.d8.loss_mask: 0.4510, decode.d8.loss_dice: 0.6878, loss: 14.7631, grad_norm: 65.6623 2023-11-22 17:01:26,006 - mmseg - INFO - Iter [121400/160000] lr: 2.298e-06, eta: 6:17:05, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1768, decode.loss_mask: 0.4443, decode.loss_dice: 0.6563, decode.d0.loss_cls: 1.2632, decode.d0.loss_mask: 0.4743, decode.d0.loss_dice: 0.7263, decode.d1.loss_cls: 0.2439, decode.d1.loss_mask: 0.4648, decode.d1.loss_dice: 0.6913, decode.d2.loss_cls: 0.2092, decode.d2.loss_mask: 0.4515, decode.d2.loss_dice: 0.6721, decode.d3.loss_cls: 0.1930, decode.d3.loss_mask: 0.4458, decode.d3.loss_dice: 0.6614, decode.d4.loss_cls: 0.1865, decode.d4.loss_mask: 0.4460, decode.d4.loss_dice: 0.6646, decode.d5.loss_cls: 0.1824, decode.d5.loss_mask: 0.4449, decode.d5.loss_dice: 0.6612, decode.d6.loss_cls: 0.1762, decode.d6.loss_mask: 0.4452, decode.d6.loss_dice: 0.6594, decode.d7.loss_cls: 0.1738, decode.d7.loss_mask: 0.4447, decode.d7.loss_dice: 0.6601, decode.d8.loss_cls: 0.1709, decode.d8.loss_mask: 0.4451, decode.d8.loss_dice: 0.6589, loss: 14.1942, grad_norm: 64.1639 2023-11-22 17:01:54,269 - mmseg - INFO - Iter [121450/160000] lr: 2.295e-06, eta: 6:16:35, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1855, decode.loss_mask: 0.4407, decode.loss_dice: 0.6877, decode.d0.loss_cls: 1.2902, decode.d0.loss_mask: 0.4794, decode.d0.loss_dice: 0.7739, decode.d1.loss_cls: 0.2693, decode.d1.loss_mask: 0.4550, decode.d1.loss_dice: 0.7248, decode.d2.loss_cls: 0.2270, decode.d2.loss_mask: 0.4467, decode.d2.loss_dice: 0.7099, decode.d3.loss_cls: 0.2137, decode.d3.loss_mask: 0.4456, decode.d3.loss_dice: 0.6955, decode.d4.loss_cls: 0.2026, decode.d4.loss_mask: 0.4449, decode.d4.loss_dice: 0.6962, decode.d5.loss_cls: 0.1996, decode.d5.loss_mask: 0.4436, decode.d5.loss_dice: 0.6950, decode.d6.loss_cls: 0.1962, decode.d6.loss_mask: 0.4417, decode.d6.loss_dice: 0.6854, decode.d7.loss_cls: 0.1918, decode.d7.loss_mask: 0.4415, decode.d7.loss_dice: 0.6928, decode.d8.loss_cls: 0.1928, decode.d8.loss_mask: 0.4411, decode.d8.loss_dice: 0.6914, loss: 14.7014, grad_norm: 65.2974 2023-11-22 17:02:22,691 - mmseg - INFO - Iter [121500/160000] lr: 2.292e-06, eta: 6:16:05, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1670, decode.loss_mask: 0.4593, decode.loss_dice: 0.6741, decode.d0.loss_cls: 1.2745, decode.d0.loss_mask: 0.4902, decode.d0.loss_dice: 0.7464, decode.d1.loss_cls: 0.2552, decode.d1.loss_mask: 0.4726, decode.d1.loss_dice: 0.7083, decode.d2.loss_cls: 0.2101, decode.d2.loss_mask: 0.4633, decode.d2.loss_dice: 0.6867, decode.d3.loss_cls: 0.1893, decode.d3.loss_mask: 0.4625, decode.d3.loss_dice: 0.6782, decode.d4.loss_cls: 0.1784, decode.d4.loss_mask: 0.4596, decode.d4.loss_dice: 0.6795, decode.d5.loss_cls: 0.1755, decode.d5.loss_mask: 0.4596, decode.d5.loss_dice: 0.6775, decode.d6.loss_cls: 0.1695, decode.d6.loss_mask: 0.4592, decode.d6.loss_dice: 0.6792, decode.d7.loss_cls: 0.1762, decode.d7.loss_mask: 0.4578, decode.d7.loss_dice: 0.6741, decode.d8.loss_cls: 0.1685, decode.d8.loss_mask: 0.4608, decode.d8.loss_dice: 0.6781, loss: 14.4913, grad_norm: 69.6798 2023-11-22 17:02:52,124 - mmseg - INFO - Iter [121550/160000] lr: 2.289e-06, eta: 6:15:36, time: 0.589, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1821, decode.loss_mask: 0.4425, decode.loss_dice: 0.6790, decode.d0.loss_cls: 1.2682, decode.d0.loss_mask: 0.4762, decode.d0.loss_dice: 0.7621, decode.d1.loss_cls: 0.2730, decode.d1.loss_mask: 0.4567, decode.d1.loss_dice: 0.7112, decode.d2.loss_cls: 0.2138, decode.d2.loss_mask: 0.4531, decode.d2.loss_dice: 0.6978, decode.d3.loss_cls: 0.1972, decode.d3.loss_mask: 0.4466, decode.d3.loss_dice: 0.6895, decode.d4.loss_cls: 0.1888, decode.d4.loss_mask: 0.4454, decode.d4.loss_dice: 0.6898, decode.d5.loss_cls: 0.1876, decode.d5.loss_mask: 0.4442, decode.d5.loss_dice: 0.6859, decode.d6.loss_cls: 0.1883, decode.d6.loss_mask: 0.4438, decode.d6.loss_dice: 0.6810, decode.d7.loss_cls: 0.1809, decode.d7.loss_mask: 0.4443, decode.d7.loss_dice: 0.6835, decode.d8.loss_cls: 0.1761, decode.d8.loss_mask: 0.4438, decode.d8.loss_dice: 0.6833, loss: 14.5157, grad_norm: 64.8107 2023-11-22 17:03:27,406 - mmseg - INFO - Iter [121600/160000] lr: 2.286e-06, eta: 6:15:09, time: 0.706, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1858, decode.loss_mask: 0.4582, decode.loss_dice: 0.6692, decode.d0.loss_cls: 1.2584, decode.d0.loss_mask: 0.4915, decode.d0.loss_dice: 0.7450, decode.d1.loss_cls: 0.2653, decode.d1.loss_mask: 0.4753, decode.d1.loss_dice: 0.7049, decode.d2.loss_cls: 0.2214, decode.d2.loss_mask: 0.4630, decode.d2.loss_dice: 0.6850, decode.d3.loss_cls: 0.2094, decode.d3.loss_mask: 0.4626, decode.d3.loss_dice: 0.6759, decode.d4.loss_cls: 0.2013, decode.d4.loss_mask: 0.4609, decode.d4.loss_dice: 0.6759, decode.d5.loss_cls: 0.1980, decode.d5.loss_mask: 0.4582, decode.d5.loss_dice: 0.6756, decode.d6.loss_cls: 0.1941, decode.d6.loss_mask: 0.4595, decode.d6.loss_dice: 0.6737, decode.d7.loss_cls: 0.1872, decode.d7.loss_mask: 0.4598, decode.d7.loss_dice: 0.6716, decode.d8.loss_cls: 0.1913, decode.d8.loss_mask: 0.4584, decode.d8.loss_dice: 0.6707, loss: 14.6069, grad_norm: 65.7948 2023-11-22 17:03:55,981 - mmseg - INFO - Iter [121650/160000] lr: 2.283e-06, eta: 6:14:39, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1947, decode.loss_mask: 0.4651, decode.loss_dice: 0.6811, decode.d0.loss_cls: 1.2833, decode.d0.loss_mask: 0.4982, decode.d0.loss_dice: 0.7550, decode.d1.loss_cls: 0.2692, decode.d1.loss_mask: 0.4798, decode.d1.loss_dice: 0.7141, decode.d2.loss_cls: 0.2298, decode.d2.loss_mask: 0.4743, decode.d2.loss_dice: 0.7002, decode.d3.loss_cls: 0.2086, decode.d3.loss_mask: 0.4692, decode.d3.loss_dice: 0.6882, decode.d4.loss_cls: 0.2001, decode.d4.loss_mask: 0.4675, decode.d4.loss_dice: 0.6888, decode.d5.loss_cls: 0.1993, decode.d5.loss_mask: 0.4664, decode.d5.loss_dice: 0.6858, decode.d6.loss_cls: 0.1974, decode.d6.loss_mask: 0.4659, decode.d6.loss_dice: 0.6856, decode.d7.loss_cls: 0.1955, decode.d7.loss_mask: 0.4651, decode.d7.loss_dice: 0.6865, decode.d8.loss_cls: 0.1934, decode.d8.loss_mask: 0.4653, decode.d8.loss_dice: 0.6826, loss: 14.8561, grad_norm: 64.0383 2023-11-22 17:04:24,400 - mmseg - INFO - Iter [121700/160000] lr: 2.280e-06, eta: 6:14:10, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1847, decode.loss_mask: 0.4523, decode.loss_dice: 0.6820, decode.d0.loss_cls: 1.2816, decode.d0.loss_mask: 0.4848, decode.d0.loss_dice: 0.7642, decode.d1.loss_cls: 0.2686, decode.d1.loss_mask: 0.4664, decode.d1.loss_dice: 0.7187, decode.d2.loss_cls: 0.2206, decode.d2.loss_mask: 0.4589, decode.d2.loss_dice: 0.6992, decode.d3.loss_cls: 0.2032, decode.d3.loss_mask: 0.4521, decode.d3.loss_dice: 0.6867, decode.d4.loss_cls: 0.1991, decode.d4.loss_mask: 0.4517, decode.d4.loss_dice: 0.6845, decode.d5.loss_cls: 0.1919, decode.d5.loss_mask: 0.4540, decode.d5.loss_dice: 0.6859, decode.d6.loss_cls: 0.1905, decode.d6.loss_mask: 0.4529, decode.d6.loss_dice: 0.6800, decode.d7.loss_cls: 0.1866, decode.d7.loss_mask: 0.4525, decode.d7.loss_dice: 0.6807, decode.d8.loss_cls: 0.1838, decode.d8.loss_mask: 0.4527, decode.d8.loss_dice: 0.6835, loss: 14.6544, grad_norm: 69.6474 2023-11-22 17:04:52,711 - mmseg - INFO - Iter [121750/160000] lr: 2.277e-06, eta: 6:13:40, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1759, decode.loss_mask: 0.4320, decode.loss_dice: 0.6455, decode.d0.loss_cls: 1.3134, decode.d0.loss_mask: 0.4639, decode.d0.loss_dice: 0.7244, decode.d1.loss_cls: 0.2555, decode.d1.loss_mask: 0.4499, decode.d1.loss_dice: 0.6817, decode.d2.loss_cls: 0.2010, decode.d2.loss_mask: 0.4438, decode.d2.loss_dice: 0.6611, decode.d3.loss_cls: 0.1897, decode.d3.loss_mask: 0.4361, decode.d3.loss_dice: 0.6564, decode.d4.loss_cls: 0.1805, decode.d4.loss_mask: 0.4339, decode.d4.loss_dice: 0.6528, decode.d5.loss_cls: 0.1817, decode.d5.loss_mask: 0.4323, decode.d5.loss_dice: 0.6498, decode.d6.loss_cls: 0.1816, decode.d6.loss_mask: 0.4309, decode.d6.loss_dice: 0.6453, decode.d7.loss_cls: 0.1804, decode.d7.loss_mask: 0.4319, decode.d7.loss_dice: 0.6458, decode.d8.loss_cls: 0.1756, decode.d8.loss_mask: 0.4339, decode.d8.loss_dice: 0.6497, loss: 14.0363, grad_norm: 72.3792 2023-11-22 17:05:21,073 - mmseg - INFO - Iter [121800/160000] lr: 2.274e-06, eta: 6:13:10, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1895, decode.loss_mask: 0.4670, decode.loss_dice: 0.6805, decode.d0.loss_cls: 1.2572, decode.d0.loss_mask: 0.5029, decode.d0.loss_dice: 0.7561, decode.d1.loss_cls: 0.2650, decode.d1.loss_mask: 0.4849, decode.d1.loss_dice: 0.7184, decode.d2.loss_cls: 0.2239, decode.d2.loss_mask: 0.4744, decode.d2.loss_dice: 0.6984, decode.d3.loss_cls: 0.2069, decode.d3.loss_mask: 0.4706, decode.d3.loss_dice: 0.6849, decode.d4.loss_cls: 0.2007, decode.d4.loss_mask: 0.4710, decode.d4.loss_dice: 0.6808, decode.d5.loss_cls: 0.2004, decode.d5.loss_mask: 0.4694, decode.d5.loss_dice: 0.6799, decode.d6.loss_cls: 0.1957, decode.d6.loss_mask: 0.4679, decode.d6.loss_dice: 0.6783, decode.d7.loss_cls: 0.1908, decode.d7.loss_mask: 0.4664, decode.d7.loss_dice: 0.6799, decode.d8.loss_cls: 0.1928, decode.d8.loss_mask: 0.4652, decode.d8.loss_dice: 0.6776, loss: 14.7975, grad_norm: 68.7430 2023-11-22 17:05:49,239 - mmseg - INFO - Iter [121850/160000] lr: 2.271e-06, eta: 6:12:41, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1697, decode.loss_mask: 0.4398, decode.loss_dice: 0.6668, decode.d0.loss_cls: 1.2712, decode.d0.loss_mask: 0.4703, decode.d0.loss_dice: 0.7418, decode.d1.loss_cls: 0.2477, decode.d1.loss_mask: 0.4566, decode.d1.loss_dice: 0.7028, decode.d2.loss_cls: 0.2010, decode.d2.loss_mask: 0.4474, decode.d2.loss_dice: 0.6891, decode.d3.loss_cls: 0.1819, decode.d3.loss_mask: 0.4456, decode.d3.loss_dice: 0.6708, decode.d4.loss_cls: 0.1799, decode.d4.loss_mask: 0.4440, decode.d4.loss_dice: 0.6680, decode.d5.loss_cls: 0.1745, decode.d5.loss_mask: 0.4422, decode.d5.loss_dice: 0.6713, decode.d6.loss_cls: 0.1771, decode.d6.loss_mask: 0.4418, decode.d6.loss_dice: 0.6683, decode.d7.loss_cls: 0.1677, decode.d7.loss_mask: 0.4413, decode.d7.loss_dice: 0.6707, decode.d8.loss_cls: 0.1712, decode.d8.loss_mask: 0.4416, decode.d8.loss_dice: 0.6686, loss: 14.2306, grad_norm: 65.1662 2023-11-22 17:06:17,643 - mmseg - INFO - Iter [121900/160000] lr: 2.268e-06, eta: 6:12:11, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1960, decode.loss_mask: 0.4517, decode.loss_dice: 0.6845, decode.d0.loss_cls: 1.2816, decode.d0.loss_mask: 0.4893, decode.d0.loss_dice: 0.7612, decode.d1.loss_cls: 0.2689, decode.d1.loss_mask: 0.4711, decode.d1.loss_dice: 0.7218, decode.d2.loss_cls: 0.2339, decode.d2.loss_mask: 0.4621, decode.d2.loss_dice: 0.7001, decode.d3.loss_cls: 0.2133, decode.d3.loss_mask: 0.4558, decode.d3.loss_dice: 0.6892, decode.d4.loss_cls: 0.2035, decode.d4.loss_mask: 0.4557, decode.d4.loss_dice: 0.6888, decode.d5.loss_cls: 0.2001, decode.d5.loss_mask: 0.4524, decode.d5.loss_dice: 0.6875, decode.d6.loss_cls: 0.2012, decode.d6.loss_mask: 0.4516, decode.d6.loss_dice: 0.6826, decode.d7.loss_cls: 0.1971, decode.d7.loss_mask: 0.4517, decode.d7.loss_dice: 0.6822, decode.d8.loss_cls: 0.1967, decode.d8.loss_mask: 0.4511, decode.d8.loss_dice: 0.6800, loss: 14.7629, grad_norm: 70.3018 2023-11-22 17:06:46,001 - mmseg - INFO - Iter [121950/160000] lr: 2.265e-06, eta: 6:11:42, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2036, decode.loss_mask: 0.4477, decode.loss_dice: 0.6860, decode.d0.loss_cls: 1.3142, decode.d0.loss_mask: 0.4851, decode.d0.loss_dice: 0.7698, decode.d1.loss_cls: 0.2765, decode.d1.loss_mask: 0.4655, decode.d1.loss_dice: 0.7271, decode.d2.loss_cls: 0.2324, decode.d2.loss_mask: 0.4567, decode.d2.loss_dice: 0.7107, decode.d3.loss_cls: 0.2153, decode.d3.loss_mask: 0.4544, decode.d3.loss_dice: 0.6930, decode.d4.loss_cls: 0.2078, decode.d4.loss_mask: 0.4524, decode.d4.loss_dice: 0.6933, decode.d5.loss_cls: 0.2022, decode.d5.loss_mask: 0.4518, decode.d5.loss_dice: 0.6917, decode.d6.loss_cls: 0.2081, decode.d6.loss_mask: 0.4494, decode.d6.loss_dice: 0.6864, decode.d7.loss_cls: 0.2064, decode.d7.loss_mask: 0.4504, decode.d7.loss_dice: 0.6864, decode.d8.loss_cls: 0.2018, decode.d8.loss_mask: 0.4505, decode.d8.loss_dice: 0.6891, loss: 14.8655, grad_norm: 65.9841 2023-11-22 17:07:14,174 - mmseg - INFO - Saving checkpoint at 122000 iterations 2023-11-22 17:07:21,953 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 17:07:21,953 - mmseg - INFO - Iter [122000/160000] lr: 2.262e-06, eta: 6:11:14, time: 0.719, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1710, decode.loss_mask: 0.4594, decode.loss_dice: 0.6775, decode.d0.loss_cls: 1.2468, decode.d0.loss_mask: 0.4927, decode.d0.loss_dice: 0.7510, decode.d1.loss_cls: 0.2510, decode.d1.loss_mask: 0.4784, decode.d1.loss_dice: 0.7096, decode.d2.loss_cls: 0.2077, decode.d2.loss_mask: 0.4686, decode.d2.loss_dice: 0.6975, decode.d3.loss_cls: 0.1911, decode.d3.loss_mask: 0.4644, decode.d3.loss_dice: 0.6800, decode.d4.loss_cls: 0.1827, decode.d4.loss_mask: 0.4618, decode.d4.loss_dice: 0.6790, decode.d5.loss_cls: 0.1800, decode.d5.loss_mask: 0.4626, decode.d5.loss_dice: 0.6814, decode.d6.loss_cls: 0.1762, decode.d6.loss_mask: 0.4612, decode.d6.loss_dice: 0.6770, decode.d7.loss_cls: 0.1749, decode.d7.loss_mask: 0.4609, decode.d7.loss_dice: 0.6768, decode.d8.loss_cls: 0.1729, decode.d8.loss_mask: 0.4608, decode.d8.loss_dice: 0.6770, loss: 14.5319, grad_norm: 63.2436 2023-11-22 17:07:41,429 - mmseg - INFO - per class results: 2023-11-22 17:07:41,435 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.08 | 87.96 | | building | 83.79 | 90.71 | | sky | 95.01 | 97.55 | | floor | 84.69 | 91.79 | | tree | 75.96 | 89.69 | | ceiling | 86.1 | 92.86 | | road | 86.16 | 93.8 | | bed | 91.57 | 96.13 | | windowpane | 65.01 | 82.12 | | grass | 69.71 | 82.33 | | cabinet | 65.28 | 75.96 | | sidewalk | 68.75 | 77.98 | | person | 86.55 | 93.44 | | earth | 37.02 | 51.27 | | door | 54.8 | 71.86 | | table | 71.16 | 84.72 | | mountain | 57.53 | 72.43 | | plant | 53.76 | 64.86 | | curtain | 74.53 | 88.72 | | chair | 66.28 | 77.88 | | car | 88.34 | 95.08 | | water | 63.77 | 79.39 | | painting | 74.97 | 91.11 | | sofa | 76.17 | 86.64 | | shelf | 44.64 | 59.27 | | house | 47.87 | 79.69 | | sea | 64.19 | 83.85 | | mirror | 75.6 | 82.87 | | rug | 66.11 | 78.79 | | field | 41.95 | 64.03 | | armchair | 54.72 | 79.01 | | seat | 66.25 | 83.72 | | fence | 52.59 | 67.63 | | desk | 56.97 | 77.64 | | rock | 52.6 | 72.4 | | wardrobe | 49.95 | 71.99 | | lamp | 72.99 | 82.42 | | bathtub | 80.23 | 86.41 | | railing | 38.59 | 54.17 | | cushion | 66.34 | 75.5 | | base | 39.29 | 67.45 | | box | 34.2 | 44.28 | | column | 51.4 | 71.6 | | signboard | 41.08 | 59.06 | | chest of drawers | 38.68 | 62.52 | | counter | 49.45 | 59.66 | | sand | 43.15 | 61.18 | | sink | 81.87 | 86.54 | | skyscraper | 64.16 | 81.51 | | fireplace | 73.44 | 90.46 | | refrigerator | 84.69 | 93.09 | | grandstand | 45.83 | 77.82 | | path | 24.84 | 47.91 | | stairs | 26.3 | 32.48 | | runway | 65.04 | 82.2 | | case | 54.51 | 76.13 | | pool table | 94.46 | 97.65 | | pillow | 65.04 | 77.1 | | screen door | 69.41 | 74.37 | | stairway | 29.92 | 48.3 | | river | 13.02 | 20.1 | | bridge | 79.27 | 91.3 | | bookcase | 34.61 | 60.27 | | blind | 42.45 | 47.58 | | coffee table | 71.93 | 85.49 | | toilet | 91.14 | 93.61 | | flower | 45.22 | 61.44 | | book | 53.7 | 77.32 | | hill | 9.29 | 16.64 | | bench | 63.28 | 72.37 | | countertop | 65.88 | 79.83 | | stove | 88.1 | 91.1 | | palm | 55.6 | 81.3 | | kitchen island | 59.81 | 89.84 | | computer | 79.72 | 89.5 | | swivel chair | 43.78 | 63.73 | | boat | 37.3 | 57.4 | | bar | 63.63 | 69.01 | | arcade machine | 76.12 | 81.05 | | hovel | 62.64 | 69.02 | | bus | 85.85 | 97.21 | | towel | 76.56 | 88.33 | | light | 65.94 | 78.27 | | truck | 24.95 | 28.83 | | tower | 32.24 | 54.76 | | chandelier | 69.75 | 89.78 | | awning | 43.5 | 58.63 | | streetlight | 46.05 | 65.87 | | booth | 60.86 | 69.95 | | television receiver | 79.45 | 89.91 | | airplane | 63.42 | 76.42 | | dirt track | 9.95 | 14.1 | | apparel | 45.65 | 69.35 | | pole | 38.77 | 59.68 | | land | 6.4 | 7.35 | | bannister | 21.15 | 32.84 | | escalator | 58.72 | 77.96 | | ottoman | 51.71 | 72.68 | | bottle | 39.99 | 68.09 | | buffet | 53.31 | 68.2 | | poster | 29.95 | 50.65 | | stage | 21.98 | 41.95 | | van | 50.55 | 65.76 | | ship | 9.78 | 15.62 | | fountain | 21.39 | 21.82 | | conveyer belt | 74.73 | 94.01 | | canopy | 27.54 | 52.01 | | washer | 71.28 | 75.31 | | plaything | 42.4 | 59.46 | | swimming pool | 66.64 | 71.65 | | stool | 55.13 | 79.57 | | barrel | 91.46 | 98.48 | | basket | 43.3 | 52.62 | | waterfall | 70.21 | 89.02 | | tent | 90.11 | 98.17 | | bag | 25.06 | 34.84 | | minibike | 72.04 | 90.45 | | cradle | 86.67 | 97.59 | | oven | 25.6 | 70.09 | | ball | 55.01 | 65.64 | | food | 60.31 | 66.87 | | step | 25.66 | 34.08 | | tank | 62.18 | 66.22 | | trade name | 33.14 | 42.08 | | microwave | 43.88 | 48.45 | | pot | 57.91 | 70.67 | | animal | 61.64 | 63.02 | | bicycle | 60.6 | 81.21 | | lake | 56.72 | 63.63 | | dishwasher | 76.91 | 83.98 | | screen | 56.59 | 92.29 | | blanket | 40.7 | 50.76 | | sculpture | 69.94 | 89.92 | | hood | 64.41 | 78.46 | | sconce | 59.82 | 77.76 | | vase | 54.48 | 76.13 | | traffic light | 48.02 | 72.86 | | tray | 19.38 | 24.57 | | ashcan | 51.24 | 75.93 | | fan | 70.11 | 85.92 | | pier | 52.14 | 56.2 | | crt screen | 2.72 | 8.04 | | plate | 64.57 | 81.55 | | monitor | 11.14 | 12.96 | | bulletin board | 49.78 | 79.1 | | shower | 4.41 | 26.84 | | radiator | 73.6 | 86.83 | | glass | 23.65 | 25.49 | | clock | 53.17 | 69.47 | | flag | 50.64 | 57.22 | +---------------------+-------+-------+ 2023-11-22 17:07:41,435 - mmseg - INFO - Summary: 2023-11-22 17:07:41,435 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.19 | 55.78 | 69.64 | +-------+-------+-------+ 2023-11-22 17:07:41,436 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 17:07:41,436 - mmseg - INFO - Iter(val) [250] aAcc: 0.8519, mIoU: 0.5578, mAcc: 0.6964, IoU.wall: 0.8108, IoU.building: 0.8379, IoU.sky: 0.9501, IoU.floor: 0.8469, IoU.tree: 0.7596, IoU.ceiling: 0.8610, IoU.road: 0.8616, IoU.bed : 0.9157, IoU.windowpane: 0.6501, IoU.grass: 0.6971, IoU.cabinet: 0.6528, IoU.sidewalk: 0.6875, IoU.person: 0.8655, IoU.earth: 0.3702, IoU.door: 0.5480, IoU.table: 0.7116, IoU.mountain: 0.5753, IoU.plant: 0.5376, IoU.curtain: 0.7453, IoU.chair: 0.6628, IoU.car: 0.8834, IoU.water: 0.6377, IoU.painting: 0.7497, IoU.sofa: 0.7617, IoU.shelf: 0.4464, IoU.house: 0.4787, IoU.sea: 0.6419, IoU.mirror: 0.7560, IoU.rug: 0.6611, IoU.field: 0.4195, IoU.armchair: 0.5472, IoU.seat: 0.6625, IoU.fence: 0.5259, IoU.desk: 0.5697, IoU.rock: 0.5260, IoU.wardrobe: 0.4995, IoU.lamp: 0.7299, IoU.bathtub: 0.8023, IoU.railing: 0.3859, IoU.cushion: 0.6634, IoU.base: 0.3929, IoU.box: 0.3420, IoU.column: 0.5140, IoU.signboard: 0.4108, IoU.chest of drawers: 0.3868, IoU.counter: 0.4945, IoU.sand: 0.4315, IoU.sink: 0.8187, IoU.skyscraper: 0.6416, IoU.fireplace: 0.7344, IoU.refrigerator: 0.8469, IoU.grandstand: 0.4583, IoU.path: 0.2484, IoU.stairs: 0.2630, IoU.runway: 0.6504, IoU.case: 0.5451, IoU.pool table: 0.9446, IoU.pillow: 0.6504, IoU.screen door: 0.6941, IoU.stairway: 0.2992, IoU.river: 0.1302, IoU.bridge: 0.7927, IoU.bookcase: 0.3461, IoU.blind: 0.4245, IoU.coffee table: 0.7193, IoU.toilet: 0.9114, IoU.flower: 0.4522, IoU.book: 0.5370, IoU.hill: 0.0929, IoU.bench: 0.6328, IoU.countertop: 0.6588, IoU.stove: 0.8810, IoU.palm: 0.5560, IoU.kitchen island: 0.5981, IoU.computer: 0.7972, IoU.swivel chair: 0.4378, IoU.boat: 0.3730, IoU.bar: 0.6363, IoU.arcade machine: 0.7612, IoU.hovel: 0.6264, IoU.bus: 0.8585, IoU.towel: 0.7656, IoU.light: 0.6594, IoU.truck: 0.2495, IoU.tower: 0.3224, IoU.chandelier: 0.6975, IoU.awning: 0.4350, IoU.streetlight: 0.4605, IoU.booth: 0.6086, IoU.television receiver: 0.7945, IoU.airplane: 0.6342, IoU.dirt track: 0.0995, IoU.apparel: 0.4565, IoU.pole: 0.3877, IoU.land: 0.0640, IoU.bannister: 0.2115, IoU.escalator: 0.5872, IoU.ottoman: 0.5171, IoU.bottle: 0.3999, IoU.buffet: 0.5331, IoU.poster: 0.2995, IoU.stage: 0.2198, IoU.van: 0.5055, IoU.ship: 0.0978, IoU.fountain: 0.2139, IoU.conveyer belt: 0.7473, IoU.canopy: 0.2754, IoU.washer: 0.7128, IoU.plaything: 0.4240, IoU.swimming pool: 0.6664, IoU.stool: 0.5513, IoU.barrel: 0.9146, IoU.basket: 0.4330, IoU.waterfall: 0.7021, IoU.tent: 0.9011, IoU.bag: 0.2506, IoU.minibike: 0.7204, IoU.cradle: 0.8667, IoU.oven: 0.2560, IoU.ball: 0.5501, IoU.food: 0.6031, IoU.step: 0.2566, IoU.tank: 0.6218, IoU.trade name: 0.3314, IoU.microwave: 0.4388, IoU.pot: 0.5791, IoU.animal: 0.6164, IoU.bicycle: 0.6060, IoU.lake: 0.5672, IoU.dishwasher: 0.7691, IoU.screen: 0.5659, IoU.blanket: 0.4070, IoU.sculpture: 0.6994, IoU.hood: 0.6441, IoU.sconce: 0.5982, IoU.vase: 0.5448, IoU.traffic light: 0.4802, IoU.tray: 0.1938, IoU.ashcan: 0.5124, IoU.fan: 0.7011, IoU.pier: 0.5214, IoU.crt screen: 0.0272, IoU.plate: 0.6457, IoU.monitor: 0.1114, IoU.bulletin board: 0.4978, IoU.shower: 0.0441, IoU.radiator: 0.7360, IoU.glass: 0.2365, IoU.clock: 0.5317, IoU.flag: 0.5064, Acc.wall: 0.8796, Acc.building: 0.9071, Acc.sky: 0.9755, Acc.floor: 0.9179, Acc.tree: 0.8969, Acc.ceiling: 0.9286, Acc.road: 0.9380, Acc.bed : 0.9613, Acc.windowpane: 0.8212, Acc.grass: 0.8233, Acc.cabinet: 0.7596, Acc.sidewalk: 0.7798, Acc.person: 0.9344, Acc.earth: 0.5127, Acc.door: 0.7186, Acc.table: 0.8472, Acc.mountain: 0.7243, Acc.plant: 0.6486, Acc.curtain: 0.8872, Acc.chair: 0.7788, Acc.car: 0.9508, Acc.water: 0.7939, Acc.painting: 0.9111, Acc.sofa: 0.8664, Acc.shelf: 0.5927, Acc.house: 0.7969, Acc.sea: 0.8385, Acc.mirror: 0.8287, Acc.rug: 0.7879, Acc.field: 0.6403, Acc.armchair: 0.7901, Acc.seat: 0.8372, Acc.fence: 0.6763, Acc.desk: 0.7764, Acc.rock: 0.7240, Acc.wardrobe: 0.7199, Acc.lamp: 0.8242, Acc.bathtub: 0.8641, Acc.railing: 0.5417, Acc.cushion: 0.7550, Acc.base: 0.6745, Acc.box: 0.4428, Acc.column: 0.7160, Acc.signboard: 0.5906, Acc.chest of drawers: 0.6252, Acc.counter: 0.5966, Acc.sand: 0.6118, Acc.sink: 0.8654, Acc.skyscraper: 0.8151, Acc.fireplace: 0.9046, Acc.refrigerator: 0.9309, Acc.grandstand: 0.7782, Acc.path: 0.4791, Acc.stairs: 0.3248, Acc.runway: 0.8220, Acc.case: 0.7613, Acc.pool table: 0.9765, Acc.pillow: 0.7710, Acc.screen door: 0.7437, Acc.stairway: 0.4830, Acc.river: 0.2010, Acc.bridge: 0.9130, Acc.bookcase: 0.6027, Acc.blind: 0.4758, Acc.coffee table: 0.8549, Acc.toilet: 0.9361, Acc.flower: 0.6144, Acc.book: 0.7732, Acc.hill: 0.1664, Acc.bench: 0.7237, Acc.countertop: 0.7983, Acc.stove: 0.9110, Acc.palm: 0.8130, Acc.kitchen island: 0.8984, Acc.computer: 0.8950, Acc.swivel chair: 0.6373, Acc.boat: 0.5740, Acc.bar: 0.6901, Acc.arcade machine: 0.8105, Acc.hovel: 0.6902, Acc.bus: 0.9721, Acc.towel: 0.8833, Acc.light: 0.7827, Acc.truck: 0.2883, Acc.tower: 0.5476, Acc.chandelier: 0.8978, Acc.awning: 0.5863, Acc.streetlight: 0.6587, Acc.booth: 0.6995, Acc.television receiver: 0.8991, Acc.airplane: 0.7642, Acc.dirt track: 0.1410, Acc.apparel: 0.6935, Acc.pole: 0.5968, Acc.land: 0.0735, Acc.bannister: 0.3284, Acc.escalator: 0.7796, Acc.ottoman: 0.7268, Acc.bottle: 0.6809, Acc.buffet: 0.6820, Acc.poster: 0.5065, Acc.stage: 0.4195, Acc.van: 0.6576, Acc.ship: 0.1562, Acc.fountain: 0.2182, Acc.conveyer belt: 0.9401, Acc.canopy: 0.5201, Acc.washer: 0.7531, Acc.plaything: 0.5946, Acc.swimming pool: 0.7165, Acc.stool: 0.7957, Acc.barrel: 0.9848, Acc.basket: 0.5262, Acc.waterfall: 0.8902, Acc.tent: 0.9817, Acc.bag: 0.3484, Acc.minibike: 0.9045, Acc.cradle: 0.9759, Acc.oven: 0.7009, Acc.ball: 0.6564, Acc.food: 0.6687, Acc.step: 0.3408, Acc.tank: 0.6622, Acc.trade name: 0.4208, Acc.microwave: 0.4845, Acc.pot: 0.7067, Acc.animal: 0.6302, Acc.bicycle: 0.8121, Acc.lake: 0.6363, Acc.dishwasher: 0.8398, Acc.screen: 0.9229, Acc.blanket: 0.5076, Acc.sculpture: 0.8992, Acc.hood: 0.7846, Acc.sconce: 0.7776, Acc.vase: 0.7613, Acc.traffic light: 0.7286, Acc.tray: 0.2457, Acc.ashcan: 0.7593, Acc.fan: 0.8592, Acc.pier: 0.5620, Acc.crt screen: 0.0804, Acc.plate: 0.8155, Acc.monitor: 0.1296, Acc.bulletin board: 0.7910, Acc.shower: 0.2684, Acc.radiator: 0.8683, Acc.glass: 0.2549, Acc.clock: 0.6947, Acc.flag: 0.5722 2023-11-22 17:08:09,507 - mmseg - INFO - Iter [122050/160000] lr: 2.259e-06, eta: 6:10:51, time: 0.951, data_time: 0.402, memory: 38143, decode.loss_cls: 0.1855, decode.loss_mask: 0.4677, decode.loss_dice: 0.6953, decode.d0.loss_cls: 1.2845, decode.d0.loss_mask: 0.5013, decode.d0.loss_dice: 0.7690, decode.d1.loss_cls: 0.2743, decode.d1.loss_mask: 0.4857, decode.d1.loss_dice: 0.7283, decode.d2.loss_cls: 0.2236, decode.d2.loss_mask: 0.4747, decode.d2.loss_dice: 0.7078, decode.d3.loss_cls: 0.2131, decode.d3.loss_mask: 0.4700, decode.d3.loss_dice: 0.6955, decode.d4.loss_cls: 0.2025, decode.d4.loss_mask: 0.4706, decode.d4.loss_dice: 0.6968, decode.d5.loss_cls: 0.1997, decode.d5.loss_mask: 0.4700, decode.d5.loss_dice: 0.6957, decode.d6.loss_cls: 0.1902, decode.d6.loss_mask: 0.4684, decode.d6.loss_dice: 0.6904, decode.d7.loss_cls: 0.1886, decode.d7.loss_mask: 0.4683, decode.d7.loss_dice: 0.6941, decode.d8.loss_cls: 0.1924, decode.d8.loss_mask: 0.4689, decode.d8.loss_dice: 0.6918, loss: 14.9646, grad_norm: 65.6846 2023-11-22 17:08:37,609 - mmseg - INFO - Iter [122100/160000] lr: 2.256e-06, eta: 6:10:21, time: 0.562, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1816, decode.loss_mask: 0.4692, decode.loss_dice: 0.6928, decode.d0.loss_cls: 1.2623, decode.d0.loss_mask: 0.5022, decode.d0.loss_dice: 0.7648, decode.d1.loss_cls: 0.2566, decode.d1.loss_mask: 0.4892, decode.d1.loss_dice: 0.7317, decode.d2.loss_cls: 0.2078, decode.d2.loss_mask: 0.4780, decode.d2.loss_dice: 0.7118, decode.d3.loss_cls: 0.1987, decode.d3.loss_mask: 0.4714, decode.d3.loss_dice: 0.6970, decode.d4.loss_cls: 0.1973, decode.d4.loss_mask: 0.4707, decode.d4.loss_dice: 0.6980, decode.d5.loss_cls: 0.1951, decode.d5.loss_mask: 0.4715, decode.d5.loss_dice: 0.6982, decode.d6.loss_cls: 0.1881, decode.d6.loss_mask: 0.4715, decode.d6.loss_dice: 0.6948, decode.d7.loss_cls: 0.1904, decode.d7.loss_mask: 0.4703, decode.d7.loss_dice: 0.6952, decode.d8.loss_cls: 0.1827, decode.d8.loss_mask: 0.4684, decode.d8.loss_dice: 0.6962, loss: 14.9036, grad_norm: 73.1966 2023-11-22 17:09:05,739 - mmseg - INFO - Iter [122150/160000] lr: 2.253e-06, eta: 6:09:51, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1774, decode.loss_mask: 0.4423, decode.loss_dice: 0.6740, decode.d0.loss_cls: 1.2485, decode.d0.loss_mask: 0.4761, decode.d0.loss_dice: 0.7436, decode.d1.loss_cls: 0.2503, decode.d1.loss_mask: 0.4626, decode.d1.loss_dice: 0.7121, decode.d2.loss_cls: 0.2019, decode.d2.loss_mask: 0.4540, decode.d2.loss_dice: 0.6951, decode.d3.loss_cls: 0.1940, decode.d3.loss_mask: 0.4468, decode.d3.loss_dice: 0.6815, decode.d4.loss_cls: 0.1839, decode.d4.loss_mask: 0.4462, decode.d4.loss_dice: 0.6844, decode.d5.loss_cls: 0.1833, decode.d5.loss_mask: 0.4470, decode.d5.loss_dice: 0.6813, decode.d6.loss_cls: 0.1852, decode.d6.loss_mask: 0.4445, decode.d6.loss_dice: 0.6777, decode.d7.loss_cls: 0.1797, decode.d7.loss_mask: 0.4445, decode.d7.loss_dice: 0.6730, decode.d8.loss_cls: 0.1774, decode.d8.loss_mask: 0.4439, decode.d8.loss_dice: 0.6733, loss: 14.3857, grad_norm: 67.6084 2023-11-22 17:09:34,320 - mmseg - INFO - Iter [122200/160000] lr: 2.250e-06, eta: 6:09:22, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1856, decode.loss_mask: 0.4485, decode.loss_dice: 0.6652, decode.d0.loss_cls: 1.2901, decode.d0.loss_mask: 0.4834, decode.d0.loss_dice: 0.7381, decode.d1.loss_cls: 0.2597, decode.d1.loss_mask: 0.4657, decode.d1.loss_dice: 0.7138, decode.d2.loss_cls: 0.2187, decode.d2.loss_mask: 0.4557, decode.d2.loss_dice: 0.6837, decode.d3.loss_cls: 0.2075, decode.d3.loss_mask: 0.4545, decode.d3.loss_dice: 0.6724, decode.d4.loss_cls: 0.1997, decode.d4.loss_mask: 0.4541, decode.d4.loss_dice: 0.6733, decode.d5.loss_cls: 0.1937, decode.d5.loss_mask: 0.4512, decode.d5.loss_dice: 0.6688, decode.d6.loss_cls: 0.1903, decode.d6.loss_mask: 0.4528, decode.d6.loss_dice: 0.6691, decode.d7.loss_cls: 0.1895, decode.d7.loss_mask: 0.4500, decode.d7.loss_dice: 0.6697, decode.d8.loss_cls: 0.1895, decode.d8.loss_mask: 0.4493, decode.d8.loss_dice: 0.6678, loss: 14.5113, grad_norm: 65.7546 2023-11-22 17:10:02,639 - mmseg - INFO - Iter [122250/160000] lr: 2.247e-06, eta: 6:08:52, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2012, decode.loss_mask: 0.4448, decode.loss_dice: 0.6835, decode.d0.loss_cls: 1.2939, decode.d0.loss_mask: 0.4785, decode.d0.loss_dice: 0.7456, decode.d1.loss_cls: 0.2806, decode.d1.loss_mask: 0.4600, decode.d1.loss_dice: 0.7181, decode.d2.loss_cls: 0.2349, decode.d2.loss_mask: 0.4503, decode.d2.loss_dice: 0.6958, decode.d3.loss_cls: 0.2194, decode.d3.loss_mask: 0.4486, decode.d3.loss_dice: 0.6842, decode.d4.loss_cls: 0.2155, decode.d4.loss_mask: 0.4471, decode.d4.loss_dice: 0.6828, decode.d5.loss_cls: 0.2105, decode.d5.loss_mask: 0.4480, decode.d5.loss_dice: 0.6795, decode.d6.loss_cls: 0.2066, decode.d6.loss_mask: 0.4458, decode.d6.loss_dice: 0.6781, decode.d7.loss_cls: 0.2042, decode.d7.loss_mask: 0.4457, decode.d7.loss_dice: 0.6804, decode.d8.loss_cls: 0.2018, decode.d8.loss_mask: 0.4445, decode.d8.loss_dice: 0.6800, loss: 14.7098, grad_norm: 73.0378 2023-11-22 17:10:30,828 - mmseg - INFO - Iter [122300/160000] lr: 2.244e-06, eta: 6:08:22, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1845, decode.loss_mask: 0.4379, decode.loss_dice: 0.6853, decode.d0.loss_cls: 1.2743, decode.d0.loss_mask: 0.4690, decode.d0.loss_dice: 0.7587, decode.d1.loss_cls: 0.2618, decode.d1.loss_mask: 0.4514, decode.d1.loss_dice: 0.7217, decode.d2.loss_cls: 0.2147, decode.d2.loss_mask: 0.4432, decode.d2.loss_dice: 0.7040, decode.d3.loss_cls: 0.2024, decode.d3.loss_mask: 0.4384, decode.d3.loss_dice: 0.6866, decode.d4.loss_cls: 0.1948, decode.d4.loss_mask: 0.4408, decode.d4.loss_dice: 0.6894, decode.d5.loss_cls: 0.1946, decode.d5.loss_mask: 0.4391, decode.d5.loss_dice: 0.6858, decode.d6.loss_cls: 0.1952, decode.d6.loss_mask: 0.4389, decode.d6.loss_dice: 0.6844, decode.d7.loss_cls: 0.1885, decode.d7.loss_mask: 0.4365, decode.d7.loss_dice: 0.6849, decode.d8.loss_cls: 0.1868, decode.d8.loss_mask: 0.4371, decode.d8.loss_dice: 0.6840, loss: 14.5150, grad_norm: 64.8887 2023-11-22 17:10:59,101 - mmseg - INFO - Iter [122350/160000] lr: 2.241e-06, eta: 6:07:53, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1942, decode.loss_mask: 0.4586, decode.loss_dice: 0.6933, decode.d0.loss_cls: 1.2891, decode.d0.loss_mask: 0.4958, decode.d0.loss_dice: 0.7714, decode.d1.loss_cls: 0.2641, decode.d1.loss_mask: 0.4806, decode.d1.loss_dice: 0.7316, decode.d2.loss_cls: 0.2268, decode.d2.loss_mask: 0.4698, decode.d2.loss_dice: 0.7135, decode.d3.loss_cls: 0.2135, decode.d3.loss_mask: 0.4628, decode.d3.loss_dice: 0.6998, decode.d4.loss_cls: 0.2058, decode.d4.loss_mask: 0.4633, decode.d4.loss_dice: 0.6985, decode.d5.loss_cls: 0.2032, decode.d5.loss_mask: 0.4622, decode.d5.loss_dice: 0.6974, decode.d6.loss_cls: 0.1974, decode.d6.loss_mask: 0.4615, decode.d6.loss_dice: 0.6970, decode.d7.loss_cls: 0.1992, decode.d7.loss_mask: 0.4594, decode.d7.loss_dice: 0.6914, decode.d8.loss_cls: 0.1933, decode.d8.loss_mask: 0.4586, decode.d8.loss_dice: 0.6951, loss: 14.9482, grad_norm: 68.2361 2023-11-22 17:11:27,227 - mmseg - INFO - Iter [122400/160000] lr: 2.238e-06, eta: 6:07:23, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1849, decode.loss_mask: 0.4349, decode.loss_dice: 0.6783, decode.d0.loss_cls: 1.2570, decode.d0.loss_mask: 0.4736, decode.d0.loss_dice: 0.7534, decode.d1.loss_cls: 0.2618, decode.d1.loss_mask: 0.4511, decode.d1.loss_dice: 0.7157, decode.d2.loss_cls: 0.2132, decode.d2.loss_mask: 0.4434, decode.d2.loss_dice: 0.6998, decode.d3.loss_cls: 0.2043, decode.d3.loss_mask: 0.4380, decode.d3.loss_dice: 0.6874, decode.d4.loss_cls: 0.1957, decode.d4.loss_mask: 0.4371, decode.d4.loss_dice: 0.6784, decode.d5.loss_cls: 0.1925, decode.d5.loss_mask: 0.4380, decode.d5.loss_dice: 0.6741, decode.d6.loss_cls: 0.1910, decode.d6.loss_mask: 0.4349, decode.d6.loss_dice: 0.6799, decode.d7.loss_cls: 0.1873, decode.d7.loss_mask: 0.4342, decode.d7.loss_dice: 0.6769, decode.d8.loss_cls: 0.1851, decode.d8.loss_mask: 0.4347, decode.d8.loss_dice: 0.6791, loss: 14.4156, grad_norm: 67.6397 2023-11-22 17:11:55,462 - mmseg - INFO - Iter [122450/160000] lr: 2.235e-06, eta: 6:06:54, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2024, decode.loss_mask: 0.4447, decode.loss_dice: 0.6830, decode.d0.loss_cls: 1.2940, decode.d0.loss_mask: 0.4773, decode.d0.loss_dice: 0.7650, decode.d1.loss_cls: 0.2848, decode.d1.loss_mask: 0.4586, decode.d1.loss_dice: 0.7247, decode.d2.loss_cls: 0.2384, decode.d2.loss_mask: 0.4515, decode.d2.loss_dice: 0.7027, decode.d3.loss_cls: 0.2207, decode.d3.loss_mask: 0.4482, decode.d3.loss_dice: 0.6887, decode.d4.loss_cls: 0.2143, decode.d4.loss_mask: 0.4461, decode.d4.loss_dice: 0.6862, decode.d5.loss_cls: 0.2085, decode.d5.loss_mask: 0.4477, decode.d5.loss_dice: 0.6869, decode.d6.loss_cls: 0.2036, decode.d6.loss_mask: 0.4458, decode.d6.loss_dice: 0.6848, decode.d7.loss_cls: 0.2030, decode.d7.loss_mask: 0.4454, decode.d7.loss_dice: 0.6799, decode.d8.loss_cls: 0.2018, decode.d8.loss_mask: 0.4457, decode.d8.loss_dice: 0.6823, loss: 14.7668, grad_norm: 69.5470 2023-11-22 17:12:23,945 - mmseg - INFO - Iter [122500/160000] lr: 2.232e-06, eta: 6:06:24, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1761, decode.loss_mask: 0.4450, decode.loss_dice: 0.6692, decode.d0.loss_cls: 1.2611, decode.d0.loss_mask: 0.4850, decode.d0.loss_dice: 0.7436, decode.d1.loss_cls: 0.2444, decode.d1.loss_mask: 0.4671, decode.d1.loss_dice: 0.7041, decode.d2.loss_cls: 0.2025, decode.d2.loss_mask: 0.4565, decode.d2.loss_dice: 0.6860, decode.d3.loss_cls: 0.1882, decode.d3.loss_mask: 0.4521, decode.d3.loss_dice: 0.6759, decode.d4.loss_cls: 0.1832, decode.d4.loss_mask: 0.4496, decode.d4.loss_dice: 0.6790, decode.d5.loss_cls: 0.1817, decode.d5.loss_mask: 0.4483, decode.d5.loss_dice: 0.6735, decode.d6.loss_cls: 0.1821, decode.d6.loss_mask: 0.4480, decode.d6.loss_dice: 0.6689, decode.d7.loss_cls: 0.1765, decode.d7.loss_mask: 0.4470, decode.d7.loss_dice: 0.6653, decode.d8.loss_cls: 0.1754, decode.d8.loss_mask: 0.4447, decode.d8.loss_dice: 0.6685, loss: 14.3485, grad_norm: 66.9642 2023-11-22 17:12:54,739 - mmseg - INFO - Iter [122550/160000] lr: 2.229e-06, eta: 6:05:55, time: 0.616, data_time: 0.059, memory: 38143, decode.loss_cls: 0.1778, decode.loss_mask: 0.4471, decode.loss_dice: 0.6693, decode.d0.loss_cls: 1.2598, decode.d0.loss_mask: 0.4834, decode.d0.loss_dice: 0.7440, decode.d1.loss_cls: 0.2515, decode.d1.loss_mask: 0.4653, decode.d1.loss_dice: 0.7025, decode.d2.loss_cls: 0.2064, decode.d2.loss_mask: 0.4557, decode.d2.loss_dice: 0.6824, decode.d3.loss_cls: 0.1932, decode.d3.loss_mask: 0.4508, decode.d3.loss_dice: 0.6715, decode.d4.loss_cls: 0.1886, decode.d4.loss_mask: 0.4503, decode.d4.loss_dice: 0.6710, decode.d5.loss_cls: 0.1846, decode.d5.loss_mask: 0.4497, decode.d5.loss_dice: 0.6716, decode.d6.loss_cls: 0.1832, decode.d6.loss_mask: 0.4491, decode.d6.loss_dice: 0.6691, decode.d7.loss_cls: 0.1795, decode.d7.loss_mask: 0.4493, decode.d7.loss_dice: 0.6661, decode.d8.loss_cls: 0.1769, decode.d8.loss_mask: 0.4488, decode.d8.loss_dice: 0.6690, loss: 14.3673, grad_norm: 61.6944 2023-11-22 17:13:22,921 - mmseg - INFO - Iter [122600/160000] lr: 2.226e-06, eta: 6:05:25, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1818, decode.loss_mask: 0.4395, decode.loss_dice: 0.6879, decode.d0.loss_cls: 1.2943, decode.d0.loss_mask: 0.4700, decode.d0.loss_dice: 0.7635, decode.d1.loss_cls: 0.2656, decode.d1.loss_mask: 0.4547, decode.d1.loss_dice: 0.7211, decode.d2.loss_cls: 0.2219, decode.d2.loss_mask: 0.4462, decode.d2.loss_dice: 0.7003, decode.d3.loss_cls: 0.2071, decode.d3.loss_mask: 0.4426, decode.d3.loss_dice: 0.6889, decode.d4.loss_cls: 0.1974, decode.d4.loss_mask: 0.4410, decode.d4.loss_dice: 0.6888, decode.d5.loss_cls: 0.1916, decode.d5.loss_mask: 0.4403, decode.d5.loss_dice: 0.6865, decode.d6.loss_cls: 0.1877, decode.d6.loss_mask: 0.4405, decode.d6.loss_dice: 0.6853, decode.d7.loss_cls: 0.1865, decode.d7.loss_mask: 0.4398, decode.d7.loss_dice: 0.6860, decode.d8.loss_cls: 0.1843, decode.d8.loss_mask: 0.4394, decode.d8.loss_dice: 0.6881, loss: 14.5685, grad_norm: 67.6409 2023-11-22 17:13:51,292 - mmseg - INFO - Iter [122650/160000] lr: 2.224e-06, eta: 6:04:56, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1789, decode.loss_mask: 0.4521, decode.loss_dice: 0.6798, decode.d0.loss_cls: 1.2681, decode.d0.loss_mask: 0.4864, decode.d0.loss_dice: 0.7509, decode.d1.loss_cls: 0.2656, decode.d1.loss_mask: 0.4700, decode.d1.loss_dice: 0.7149, decode.d2.loss_cls: 0.2161, decode.d2.loss_mask: 0.4601, decode.d2.loss_dice: 0.7032, decode.d3.loss_cls: 0.1992, decode.d3.loss_mask: 0.4560, decode.d3.loss_dice: 0.6875, decode.d4.loss_cls: 0.1893, decode.d4.loss_mask: 0.4542, decode.d4.loss_dice: 0.6867, decode.d5.loss_cls: 0.1865, decode.d5.loss_mask: 0.4548, decode.d5.loss_dice: 0.6878, decode.d6.loss_cls: 0.1799, decode.d6.loss_mask: 0.4530, decode.d6.loss_dice: 0.6825, decode.d7.loss_cls: 0.1791, decode.d7.loss_mask: 0.4520, decode.d7.loss_dice: 0.6786, decode.d8.loss_cls: 0.1747, decode.d8.loss_mask: 0.4509, decode.d8.loss_dice: 0.6825, loss: 14.5811, grad_norm: 67.9354 2023-11-22 17:14:19,734 - mmseg - INFO - Iter [122700/160000] lr: 2.221e-06, eta: 6:04:26, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1982, decode.loss_mask: 0.4480, decode.loss_dice: 0.6874, decode.d0.loss_cls: 1.2978, decode.d0.loss_mask: 0.4755, decode.d0.loss_dice: 0.7588, decode.d1.loss_cls: 0.2742, decode.d1.loss_mask: 0.4630, decode.d1.loss_dice: 0.7199, decode.d2.loss_cls: 0.2321, decode.d2.loss_mask: 0.4537, decode.d2.loss_dice: 0.7019, decode.d3.loss_cls: 0.2155, decode.d3.loss_mask: 0.4497, decode.d3.loss_dice: 0.6896, decode.d4.loss_cls: 0.2072, decode.d4.loss_mask: 0.4487, decode.d4.loss_dice: 0.6906, decode.d5.loss_cls: 0.2080, decode.d5.loss_mask: 0.4480, decode.d5.loss_dice: 0.6867, decode.d6.loss_cls: 0.2035, decode.d6.loss_mask: 0.4466, decode.d6.loss_dice: 0.6840, decode.d7.loss_cls: 0.1995, decode.d7.loss_mask: 0.4466, decode.d7.loss_dice: 0.6853, decode.d8.loss_cls: 0.1970, decode.d8.loss_mask: 0.4470, decode.d8.loss_dice: 0.6876, loss: 14.7513, grad_norm: 64.4190 2023-11-22 17:14:47,886 - mmseg - INFO - Iter [122750/160000] lr: 2.218e-06, eta: 6:03:57, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1995, decode.loss_mask: 0.4509, decode.loss_dice: 0.6576, decode.d0.loss_cls: 1.2699, decode.d0.loss_mask: 0.4886, decode.d0.loss_dice: 0.7315, decode.d1.loss_cls: 0.2753, decode.d1.loss_mask: 0.4717, decode.d1.loss_dice: 0.6942, decode.d2.loss_cls: 0.2295, decode.d2.loss_mask: 0.4633, decode.d2.loss_dice: 0.6774, decode.d3.loss_cls: 0.2156, decode.d3.loss_mask: 0.4566, decode.d3.loss_dice: 0.6659, decode.d4.loss_cls: 0.2104, decode.d4.loss_mask: 0.4551, decode.d4.loss_dice: 0.6663, decode.d5.loss_cls: 0.2082, decode.d5.loss_mask: 0.4554, decode.d5.loss_dice: 0.6623, decode.d6.loss_cls: 0.2034, decode.d6.loss_mask: 0.4551, decode.d6.loss_dice: 0.6606, decode.d7.loss_cls: 0.1957, decode.d7.loss_mask: 0.4557, decode.d7.loss_dice: 0.6616, decode.d8.loss_cls: 0.1988, decode.d8.loss_mask: 0.4522, decode.d8.loss_dice: 0.6567, loss: 14.5447, grad_norm: 73.6247 2023-11-22 17:15:16,313 - mmseg - INFO - Iter [122800/160000] lr: 2.215e-06, eta: 6:03:27, time: 0.569, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1760, decode.loss_mask: 0.4678, decode.loss_dice: 0.6733, decode.d0.loss_cls: 1.2447, decode.d0.loss_mask: 0.5032, decode.d0.loss_dice: 0.7421, decode.d1.loss_cls: 0.2469, decode.d1.loss_mask: 0.4845, decode.d1.loss_dice: 0.7076, decode.d2.loss_cls: 0.2043, decode.d2.loss_mask: 0.4764, decode.d2.loss_dice: 0.6969, decode.d3.loss_cls: 0.1878, decode.d3.loss_mask: 0.4720, decode.d3.loss_dice: 0.6829, decode.d4.loss_cls: 0.1847, decode.d4.loss_mask: 0.4696, decode.d4.loss_dice: 0.6826, decode.d5.loss_cls: 0.1831, decode.d5.loss_mask: 0.4701, decode.d5.loss_dice: 0.6811, decode.d6.loss_cls: 0.1802, decode.d6.loss_mask: 0.4686, decode.d6.loss_dice: 0.6766, decode.d7.loss_cls: 0.1794, decode.d7.loss_mask: 0.4671, decode.d7.loss_dice: 0.6760, decode.d8.loss_cls: 0.1742, decode.d8.loss_mask: 0.4666, decode.d8.loss_dice: 0.6749, loss: 14.6014, grad_norm: 70.5758 2023-11-22 17:15:44,577 - mmseg - INFO - Iter [122850/160000] lr: 2.212e-06, eta: 6:02:57, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1883, decode.loss_mask: 0.4717, decode.loss_dice: 0.6911, decode.d0.loss_cls: 1.2697, decode.d0.loss_mask: 0.5106, decode.d0.loss_dice: 0.7654, decode.d1.loss_cls: 0.2776, decode.d1.loss_mask: 0.4906, decode.d1.loss_dice: 0.7265, decode.d2.loss_cls: 0.2267, decode.d2.loss_mask: 0.4809, decode.d2.loss_dice: 0.7103, decode.d3.loss_cls: 0.2117, decode.d3.loss_mask: 0.4760, decode.d3.loss_dice: 0.6974, decode.d4.loss_cls: 0.2040, decode.d4.loss_mask: 0.4764, decode.d4.loss_dice: 0.6975, decode.d5.loss_cls: 0.2018, decode.d5.loss_mask: 0.4746, decode.d5.loss_dice: 0.7003, decode.d6.loss_cls: 0.1960, decode.d6.loss_mask: 0.4730, decode.d6.loss_dice: 0.6928, decode.d7.loss_cls: 0.1943, decode.d7.loss_mask: 0.4724, decode.d7.loss_dice: 0.6922, decode.d8.loss_cls: 0.1915, decode.d8.loss_mask: 0.4720, decode.d8.loss_dice: 0.6933, loss: 15.0268, grad_norm: 66.3850 2023-11-22 17:16:12,798 - mmseg - INFO - Iter [122900/160000] lr: 2.209e-06, eta: 6:02:28, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1899, decode.loss_mask: 0.4317, decode.loss_dice: 0.6730, decode.d0.loss_cls: 1.3220, decode.d0.loss_mask: 0.4609, decode.d0.loss_dice: 0.7502, decode.d1.loss_cls: 0.2668, decode.d1.loss_mask: 0.4530, decode.d1.loss_dice: 0.7090, decode.d2.loss_cls: 0.2204, decode.d2.loss_mask: 0.4439, decode.d2.loss_dice: 0.6916, decode.d3.loss_cls: 0.2096, decode.d3.loss_mask: 0.4385, decode.d3.loss_dice: 0.6798, decode.d4.loss_cls: 0.2045, decode.d4.loss_mask: 0.4364, decode.d4.loss_dice: 0.6825, decode.d5.loss_cls: 0.1972, decode.d5.loss_mask: 0.4361, decode.d5.loss_dice: 0.6790, decode.d6.loss_cls: 0.1992, decode.d6.loss_mask: 0.4333, decode.d6.loss_dice: 0.6746, decode.d7.loss_cls: 0.1946, decode.d7.loss_mask: 0.4325, decode.d7.loss_dice: 0.6688, decode.d8.loss_cls: 0.1926, decode.d8.loss_mask: 0.4334, decode.d8.loss_dice: 0.6780, loss: 14.4829, grad_norm: 64.2791 2023-11-22 17:16:41,071 - mmseg - INFO - Iter [122950/160000] lr: 2.206e-06, eta: 6:01:58, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1907, decode.loss_mask: 0.4430, decode.loss_dice: 0.6767, decode.d0.loss_cls: 1.2874, decode.d0.loss_mask: 0.4764, decode.d0.loss_dice: 0.7548, decode.d1.loss_cls: 0.2774, decode.d1.loss_mask: 0.4566, decode.d1.loss_dice: 0.7112, decode.d2.loss_cls: 0.2327, decode.d2.loss_mask: 0.4496, decode.d2.loss_dice: 0.6967, decode.d3.loss_cls: 0.2121, decode.d3.loss_mask: 0.4458, decode.d3.loss_dice: 0.6830, decode.d4.loss_cls: 0.2055, decode.d4.loss_mask: 0.4455, decode.d4.loss_dice: 0.6847, decode.d5.loss_cls: 0.2024, decode.d5.loss_mask: 0.4437, decode.d5.loss_dice: 0.6834, decode.d6.loss_cls: 0.1984, decode.d6.loss_mask: 0.4417, decode.d6.loss_dice: 0.6792, decode.d7.loss_cls: 0.1905, decode.d7.loss_mask: 0.4427, decode.d7.loss_dice: 0.6793, decode.d8.loss_cls: 0.1915, decode.d8.loss_mask: 0.4426, decode.d8.loss_dice: 0.6785, loss: 14.6038, grad_norm: 67.9420 2023-11-22 17:17:09,338 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 17:17:09,339 - mmseg - INFO - Iter [123000/160000] lr: 2.203e-06, eta: 6:01:29, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1654, decode.loss_mask: 0.4447, decode.loss_dice: 0.6793, decode.d0.loss_cls: 1.2857, decode.d0.loss_mask: 0.4822, decode.d0.loss_dice: 0.7498, decode.d1.loss_cls: 0.2564, decode.d1.loss_mask: 0.4601, decode.d1.loss_dice: 0.7125, decode.d2.loss_cls: 0.1980, decode.d2.loss_mask: 0.4514, decode.d2.loss_dice: 0.6918, decode.d3.loss_cls: 0.1863, decode.d3.loss_mask: 0.4481, decode.d3.loss_dice: 0.6811, decode.d4.loss_cls: 0.1768, decode.d4.loss_mask: 0.4467, decode.d4.loss_dice: 0.6819, decode.d5.loss_cls: 0.1723, decode.d5.loss_mask: 0.4483, decode.d5.loss_dice: 0.6840, decode.d6.loss_cls: 0.1698, decode.d6.loss_mask: 0.4473, decode.d6.loss_dice: 0.6783, decode.d7.loss_cls: 0.1688, decode.d7.loss_mask: 0.4460, decode.d7.loss_dice: 0.6769, decode.d8.loss_cls: 0.1636, decode.d8.loss_mask: 0.4459, decode.d8.loss_dice: 0.6801, loss: 14.3792, grad_norm: 65.0329 2023-11-22 17:17:37,442 - mmseg - INFO - Iter [123050/160000] lr: 2.200e-06, eta: 6:00:59, time: 0.562, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1953, decode.loss_mask: 0.4547, decode.loss_dice: 0.7011, decode.d0.loss_cls: 1.2926, decode.d0.loss_mask: 0.4959, decode.d0.loss_dice: 0.7829, decode.d1.loss_cls: 0.2888, decode.d1.loss_mask: 0.4745, decode.d1.loss_dice: 0.7440, decode.d2.loss_cls: 0.2394, decode.d2.loss_mask: 0.4622, decode.d2.loss_dice: 0.7199, decode.d3.loss_cls: 0.2178, decode.d3.loss_mask: 0.4600, decode.d3.loss_dice: 0.7085, decode.d4.loss_cls: 0.2098, decode.d4.loss_mask: 0.4581, decode.d4.loss_dice: 0.7078, decode.d5.loss_cls: 0.2068, decode.d5.loss_mask: 0.4578, decode.d5.loss_dice: 0.7058, decode.d6.loss_cls: 0.2037, decode.d6.loss_mask: 0.4584, decode.d6.loss_dice: 0.7003, decode.d7.loss_cls: 0.2023, decode.d7.loss_mask: 0.4572, decode.d7.loss_dice: 0.7027, decode.d8.loss_cls: 0.1969, decode.d8.loss_mask: 0.4567, decode.d8.loss_dice: 0.7039, loss: 15.0655, grad_norm: 66.9726 2023-11-22 17:18:05,964 - mmseg - INFO - Iter [123100/160000] lr: 2.197e-06, eta: 6:00:29, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1848, decode.loss_mask: 0.4415, decode.loss_dice: 0.6755, decode.d0.loss_cls: 1.2936, decode.d0.loss_mask: 0.4730, decode.d0.loss_dice: 0.7534, decode.d1.loss_cls: 0.2703, decode.d1.loss_mask: 0.4557, decode.d1.loss_dice: 0.7086, decode.d2.loss_cls: 0.2258, decode.d2.loss_mask: 0.4483, decode.d2.loss_dice: 0.6915, decode.d3.loss_cls: 0.2070, decode.d3.loss_mask: 0.4459, decode.d3.loss_dice: 0.6819, decode.d4.loss_cls: 0.1969, decode.d4.loss_mask: 0.4446, decode.d4.loss_dice: 0.6792, decode.d5.loss_cls: 0.1940, decode.d5.loss_mask: 0.4434, decode.d5.loss_dice: 0.6779, decode.d6.loss_cls: 0.1901, decode.d6.loss_mask: 0.4433, decode.d6.loss_dice: 0.6760, decode.d7.loss_cls: 0.1880, decode.d7.loss_mask: 0.4425, decode.d7.loss_dice: 0.6751, decode.d8.loss_cls: 0.1838, decode.d8.loss_mask: 0.4420, decode.d8.loss_dice: 0.6761, loss: 14.5099, grad_norm: 62.3250 2023-11-22 17:18:34,421 - mmseg - INFO - Iter [123150/160000] lr: 2.194e-06, eta: 6:00:00, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1980, decode.loss_mask: 0.4469, decode.loss_dice: 0.6754, decode.d0.loss_cls: 1.2851, decode.d0.loss_mask: 0.4817, decode.d0.loss_dice: 0.7489, decode.d1.loss_cls: 0.2749, decode.d1.loss_mask: 0.4653, decode.d1.loss_dice: 0.7035, decode.d2.loss_cls: 0.2338, decode.d2.loss_mask: 0.4548, decode.d2.loss_dice: 0.6890, decode.d3.loss_cls: 0.2124, decode.d3.loss_mask: 0.4515, decode.d3.loss_dice: 0.6744, decode.d4.loss_cls: 0.2019, decode.d4.loss_mask: 0.4521, decode.d4.loss_dice: 0.6837, decode.d5.loss_cls: 0.2014, decode.d5.loss_mask: 0.4490, decode.d5.loss_dice: 0.6789, decode.d6.loss_cls: 0.1956, decode.d6.loss_mask: 0.4482, decode.d6.loss_dice: 0.6728, decode.d7.loss_cls: 0.1923, decode.d7.loss_mask: 0.4465, decode.d7.loss_dice: 0.6743, decode.d8.loss_cls: 0.1927, decode.d8.loss_mask: 0.4477, decode.d8.loss_dice: 0.6763, loss: 14.6090, grad_norm: 67.2057 2023-11-22 17:19:02,572 - mmseg - INFO - Iter [123200/160000] lr: 2.191e-06, eta: 5:59:30, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1796, decode.loss_mask: 0.4525, decode.loss_dice: 0.6691, decode.d0.loss_cls: 1.2778, decode.d0.loss_mask: 0.4820, decode.d0.loss_dice: 0.7407, decode.d1.loss_cls: 0.2656, decode.d1.loss_mask: 0.4652, decode.d1.loss_dice: 0.7074, decode.d2.loss_cls: 0.2186, decode.d2.loss_mask: 0.4604, decode.d2.loss_dice: 0.6889, decode.d3.loss_cls: 0.2049, decode.d3.loss_mask: 0.4556, decode.d3.loss_dice: 0.6753, decode.d4.loss_cls: 0.1878, decode.d4.loss_mask: 0.4535, decode.d4.loss_dice: 0.6782, decode.d5.loss_cls: 0.1856, decode.d5.loss_mask: 0.4534, decode.d5.loss_dice: 0.6720, decode.d6.loss_cls: 0.1847, decode.d6.loss_mask: 0.4528, decode.d6.loss_dice: 0.6719, decode.d7.loss_cls: 0.1810, decode.d7.loss_mask: 0.4512, decode.d7.loss_dice: 0.6738, decode.d8.loss_cls: 0.1789, decode.d8.loss_mask: 0.4528, decode.d8.loss_dice: 0.6730, loss: 14.4942, grad_norm: 68.9148 2023-11-22 17:19:30,765 - mmseg - INFO - Iter [123250/160000] lr: 2.188e-06, eta: 5:59:00, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1861, decode.loss_mask: 0.4464, decode.loss_dice: 0.6722, decode.d0.loss_cls: 1.2680, decode.d0.loss_mask: 0.4795, decode.d0.loss_dice: 0.7402, decode.d1.loss_cls: 0.2465, decode.d1.loss_mask: 0.4635, decode.d1.loss_dice: 0.6975, decode.d2.loss_cls: 0.2103, decode.d2.loss_mask: 0.4543, decode.d2.loss_dice: 0.6854, decode.d3.loss_cls: 0.1989, decode.d3.loss_mask: 0.4493, decode.d3.loss_dice: 0.6779, decode.d4.loss_cls: 0.1980, decode.d4.loss_mask: 0.4479, decode.d4.loss_dice: 0.6772, decode.d5.loss_cls: 0.1884, decode.d5.loss_mask: 0.4474, decode.d5.loss_dice: 0.6746, decode.d6.loss_cls: 0.1842, decode.d6.loss_mask: 0.4467, decode.d6.loss_dice: 0.6713, decode.d7.loss_cls: 0.1820, decode.d7.loss_mask: 0.4452, decode.d7.loss_dice: 0.6715, decode.d8.loss_cls: 0.1866, decode.d8.loss_mask: 0.4445, decode.d8.loss_dice: 0.6722, loss: 14.4140, grad_norm: 68.6929 2023-11-22 17:19:59,077 - mmseg - INFO - Iter [123300/160000] lr: 2.185e-06, eta: 5:58:31, time: 0.566, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1781, decode.loss_mask: 0.4444, decode.loss_dice: 0.6723, decode.d0.loss_cls: 1.2367, decode.d0.loss_mask: 0.4781, decode.d0.loss_dice: 0.7417, decode.d1.loss_cls: 0.2635, decode.d1.loss_mask: 0.4609, decode.d1.loss_dice: 0.7046, decode.d2.loss_cls: 0.2110, decode.d2.loss_mask: 0.4521, decode.d2.loss_dice: 0.6918, decode.d3.loss_cls: 0.1952, decode.d3.loss_mask: 0.4478, decode.d3.loss_dice: 0.6843, decode.d4.loss_cls: 0.1922, decode.d4.loss_mask: 0.4457, decode.d4.loss_dice: 0.6776, decode.d5.loss_cls: 0.1884, decode.d5.loss_mask: 0.4450, decode.d5.loss_dice: 0.6778, decode.d6.loss_cls: 0.1855, decode.d6.loss_mask: 0.4453, decode.d6.loss_dice: 0.6715, decode.d7.loss_cls: 0.1797, decode.d7.loss_mask: 0.4447, decode.d7.loss_dice: 0.6779, decode.d8.loss_cls: 0.1845, decode.d8.loss_mask: 0.4429, decode.d8.loss_dice: 0.6738, loss: 14.3947, grad_norm: 66.2046 2023-11-22 17:20:27,336 - mmseg - INFO - Iter [123350/160000] lr: 2.182e-06, eta: 5:58:01, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1727, decode.loss_mask: 0.4475, decode.loss_dice: 0.6837, decode.d0.loss_cls: 1.2661, decode.d0.loss_mask: 0.4809, decode.d0.loss_dice: 0.7549, decode.d1.loss_cls: 0.2634, decode.d1.loss_mask: 0.4614, decode.d1.loss_dice: 0.7187, decode.d2.loss_cls: 0.2084, decode.d2.loss_mask: 0.4533, decode.d2.loss_dice: 0.7036, decode.d3.loss_cls: 0.1904, decode.d3.loss_mask: 0.4508, decode.d3.loss_dice: 0.6928, decode.d4.loss_cls: 0.1833, decode.d4.loss_mask: 0.4520, decode.d4.loss_dice: 0.6887, decode.d5.loss_cls: 0.1846, decode.d5.loss_mask: 0.4509, decode.d5.loss_dice: 0.6867, decode.d6.loss_cls: 0.1807, decode.d6.loss_mask: 0.4506, decode.d6.loss_dice: 0.6828, decode.d7.loss_cls: 0.1723, decode.d7.loss_mask: 0.4496, decode.d7.loss_dice: 0.6857, decode.d8.loss_cls: 0.1750, decode.d8.loss_mask: 0.4492, decode.d8.loss_dice: 0.6818, loss: 14.5225, grad_norm: 65.4392 2023-11-22 17:20:55,666 - mmseg - INFO - Iter [123400/160000] lr: 2.179e-06, eta: 5:57:32, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1852, decode.loss_mask: 0.4534, decode.loss_dice: 0.6650, decode.d0.loss_cls: 1.2841, decode.d0.loss_mask: 0.4878, decode.d0.loss_dice: 0.7367, decode.d1.loss_cls: 0.2667, decode.d1.loss_mask: 0.4706, decode.d1.loss_dice: 0.6945, decode.d2.loss_cls: 0.2157, decode.d2.loss_mask: 0.4621, decode.d2.loss_dice: 0.6809, decode.d3.loss_cls: 0.1991, decode.d3.loss_mask: 0.4564, decode.d3.loss_dice: 0.6684, decode.d4.loss_cls: 0.1919, decode.d4.loss_mask: 0.4583, decode.d4.loss_dice: 0.6732, decode.d5.loss_cls: 0.1898, decode.d5.loss_mask: 0.4560, decode.d5.loss_dice: 0.6651, decode.d6.loss_cls: 0.1890, decode.d6.loss_mask: 0.4522, decode.d6.loss_dice: 0.6644, decode.d7.loss_cls: 0.1825, decode.d7.loss_mask: 0.4532, decode.d7.loss_dice: 0.6682, decode.d8.loss_cls: 0.1864, decode.d8.loss_mask: 0.4530, decode.d8.loss_dice: 0.6644, loss: 14.4742, grad_norm: 67.7825 2023-11-22 17:21:23,776 - mmseg - INFO - Iter [123450/160000] lr: 2.176e-06, eta: 5:57:02, time: 0.562, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1953, decode.loss_mask: 0.4638, decode.loss_dice: 0.6906, decode.d0.loss_cls: 1.2925, decode.d0.loss_mask: 0.4990, decode.d0.loss_dice: 0.7704, decode.d1.loss_cls: 0.2714, decode.d1.loss_mask: 0.4845, decode.d1.loss_dice: 0.7329, decode.d2.loss_cls: 0.2262, decode.d2.loss_mask: 0.4725, decode.d2.loss_dice: 0.7112, decode.d3.loss_cls: 0.2106, decode.d3.loss_mask: 0.4703, decode.d3.loss_dice: 0.6992, decode.d4.loss_cls: 0.2046, decode.d4.loss_mask: 0.4675, decode.d4.loss_dice: 0.6962, decode.d5.loss_cls: 0.2010, decode.d5.loss_mask: 0.4663, decode.d5.loss_dice: 0.6934, decode.d6.loss_cls: 0.2008, decode.d6.loss_mask: 0.4637, decode.d6.loss_dice: 0.6936, decode.d7.loss_cls: 0.1966, decode.d7.loss_mask: 0.4642, decode.d7.loss_dice: 0.6893, decode.d8.loss_cls: 0.1921, decode.d8.loss_mask: 0.4650, decode.d8.loss_dice: 0.6935, loss: 14.9780, grad_norm: 66.7802 2023-11-22 17:21:52,009 - mmseg - INFO - Iter [123500/160000] lr: 2.173e-06, eta: 5:56:32, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1874, decode.loss_mask: 0.4367, decode.loss_dice: 0.6616, decode.d0.loss_cls: 1.2903, decode.d0.loss_mask: 0.4704, decode.d0.loss_dice: 0.7297, decode.d1.loss_cls: 0.2656, decode.d1.loss_mask: 0.4509, decode.d1.loss_dice: 0.6920, decode.d2.loss_cls: 0.2240, decode.d2.loss_mask: 0.4451, decode.d2.loss_dice: 0.6815, decode.d3.loss_cls: 0.2060, decode.d3.loss_mask: 0.4410, decode.d3.loss_dice: 0.6632, decode.d4.loss_cls: 0.2000, decode.d4.loss_mask: 0.4411, decode.d4.loss_dice: 0.6670, decode.d5.loss_cls: 0.1950, decode.d5.loss_mask: 0.4386, decode.d5.loss_dice: 0.6622, decode.d6.loss_cls: 0.1909, decode.d6.loss_mask: 0.4370, decode.d6.loss_dice: 0.6597, decode.d7.loss_cls: 0.1908, decode.d7.loss_mask: 0.4360, decode.d7.loss_dice: 0.6598, decode.d8.loss_cls: 0.1867, decode.d8.loss_mask: 0.4365, decode.d8.loss_dice: 0.6608, loss: 14.3077, grad_norm: 65.9978 2023-11-22 17:22:20,438 - mmseg - INFO - Iter [123550/160000] lr: 2.170e-06, eta: 5:56:03, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2010, decode.loss_mask: 0.4491, decode.loss_dice: 0.6899, decode.d0.loss_cls: 1.3172, decode.d0.loss_mask: 0.4862, decode.d0.loss_dice: 0.7710, decode.d1.loss_cls: 0.2909, decode.d1.loss_mask: 0.4680, decode.d1.loss_dice: 0.7313, decode.d2.loss_cls: 0.2379, decode.d2.loss_mask: 0.4581, decode.d2.loss_dice: 0.7152, decode.d3.loss_cls: 0.2221, decode.d3.loss_mask: 0.4538, decode.d3.loss_dice: 0.6999, decode.d4.loss_cls: 0.2138, decode.d4.loss_mask: 0.4511, decode.d4.loss_dice: 0.6953, decode.d5.loss_cls: 0.2082, decode.d5.loss_mask: 0.4516, decode.d5.loss_dice: 0.6970, decode.d6.loss_cls: 0.2067, decode.d6.loss_mask: 0.4495, decode.d6.loss_dice: 0.6924, decode.d7.loss_cls: 0.2066, decode.d7.loss_mask: 0.4503, decode.d7.loss_dice: 0.6905, decode.d8.loss_cls: 0.2030, decode.d8.loss_mask: 0.4519, decode.d8.loss_dice: 0.6934, loss: 14.9531, grad_norm: 65.9322 2023-11-22 17:22:48,823 - mmseg - INFO - Iter [123600/160000] lr: 2.167e-06, eta: 5:55:33, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1829, decode.loss_mask: 0.4487, decode.loss_dice: 0.6836, decode.d0.loss_cls: 1.2694, decode.d0.loss_mask: 0.4832, decode.d0.loss_dice: 0.7619, decode.d1.loss_cls: 0.2516, decode.d1.loss_mask: 0.4664, decode.d1.loss_dice: 0.7200, decode.d2.loss_cls: 0.2138, decode.d2.loss_mask: 0.4569, decode.d2.loss_dice: 0.7000, decode.d3.loss_cls: 0.1960, decode.d3.loss_mask: 0.4549, decode.d3.loss_dice: 0.6917, decode.d4.loss_cls: 0.1937, decode.d4.loss_mask: 0.4532, decode.d4.loss_dice: 0.6857, decode.d5.loss_cls: 0.1908, decode.d5.loss_mask: 0.4538, decode.d5.loss_dice: 0.6846, decode.d6.loss_cls: 0.1836, decode.d6.loss_mask: 0.4519, decode.d6.loss_dice: 0.6848, decode.d7.loss_cls: 0.1814, decode.d7.loss_mask: 0.4508, decode.d7.loss_dice: 0.6822, decode.d8.loss_cls: 0.1796, decode.d8.loss_mask: 0.4508, decode.d8.loss_dice: 0.6847, loss: 14.5927, grad_norm: 66.3451 2023-11-22 17:23:17,191 - mmseg - INFO - Iter [123650/160000] lr: 2.164e-06, eta: 5:55:04, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1861, decode.loss_mask: 0.4691, decode.loss_dice: 0.6756, decode.d0.loss_cls: 1.2586, decode.d0.loss_mask: 0.5025, decode.d0.loss_dice: 0.7493, decode.d1.loss_cls: 0.2592, decode.d1.loss_mask: 0.4845, decode.d1.loss_dice: 0.7088, decode.d2.loss_cls: 0.2147, decode.d2.loss_mask: 0.4747, decode.d2.loss_dice: 0.6936, decode.d3.loss_cls: 0.2058, decode.d3.loss_mask: 0.4700, decode.d3.loss_dice: 0.6852, decode.d4.loss_cls: 0.2003, decode.d4.loss_mask: 0.4685, decode.d4.loss_dice: 0.6825, decode.d5.loss_cls: 0.1928, decode.d5.loss_mask: 0.4683, decode.d5.loss_dice: 0.6790, decode.d6.loss_cls: 0.1899, decode.d6.loss_mask: 0.4671, decode.d6.loss_dice: 0.6799, decode.d7.loss_cls: 0.1882, decode.d7.loss_mask: 0.4678, decode.d7.loss_dice: 0.6799, decode.d8.loss_cls: 0.1903, decode.d8.loss_mask: 0.4676, decode.d8.loss_dice: 0.6760, loss: 14.7358, grad_norm: 64.7936 2023-11-22 17:23:45,672 - mmseg - INFO - Iter [123700/160000] lr: 2.161e-06, eta: 5:54:34, time: 0.570, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1926, decode.loss_mask: 0.4518, decode.loss_dice: 0.7003, decode.d0.loss_cls: 1.2756, decode.d0.loss_mask: 0.4845, decode.d0.loss_dice: 0.7709, decode.d1.loss_cls: 0.2687, decode.d1.loss_mask: 0.4682, decode.d1.loss_dice: 0.7374, decode.d2.loss_cls: 0.2269, decode.d2.loss_mask: 0.4588, decode.d2.loss_dice: 0.7179, decode.d3.loss_cls: 0.2129, decode.d3.loss_mask: 0.4565, decode.d3.loss_dice: 0.7063, decode.d4.loss_cls: 0.2091, decode.d4.loss_mask: 0.4541, decode.d4.loss_dice: 0.7028, decode.d5.loss_cls: 0.1960, decode.d5.loss_mask: 0.4534, decode.d5.loss_dice: 0.7009, decode.d6.loss_cls: 0.1992, decode.d6.loss_mask: 0.4528, decode.d6.loss_dice: 0.7005, decode.d7.loss_cls: 0.1931, decode.d7.loss_mask: 0.4532, decode.d7.loss_dice: 0.7005, decode.d8.loss_cls: 0.1898, decode.d8.loss_mask: 0.4535, decode.d8.loss_dice: 0.7037, loss: 14.8918, grad_norm: 72.8941 2023-11-22 17:24:13,965 - mmseg - INFO - Iter [123750/160000] lr: 2.158e-06, eta: 5:54:04, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1748, decode.loss_mask: 0.4444, decode.loss_dice: 0.6882, decode.d0.loss_cls: 1.2809, decode.d0.loss_mask: 0.4758, decode.d0.loss_dice: 0.7676, decode.d1.loss_cls: 0.2473, decode.d1.loss_mask: 0.4601, decode.d1.loss_dice: 0.7240, decode.d2.loss_cls: 0.2080, decode.d2.loss_mask: 0.4502, decode.d2.loss_dice: 0.7070, decode.d3.loss_cls: 0.1945, decode.d3.loss_mask: 0.4477, decode.d3.loss_dice: 0.6918, decode.d4.loss_cls: 0.1852, decode.d4.loss_mask: 0.4466, decode.d4.loss_dice: 0.6897, decode.d5.loss_cls: 0.1807, decode.d5.loss_mask: 0.4456, decode.d5.loss_dice: 0.6938, decode.d6.loss_cls: 0.1757, decode.d6.loss_mask: 0.4450, decode.d6.loss_dice: 0.6914, decode.d7.loss_cls: 0.1730, decode.d7.loss_mask: 0.4442, decode.d7.loss_dice: 0.6873, decode.d8.loss_cls: 0.1752, decode.d8.loss_mask: 0.4444, decode.d8.loss_dice: 0.6922, loss: 14.5321, grad_norm: 64.0298 2023-11-22 17:24:44,505 - mmseg - INFO - Iter [123800/160000] lr: 2.155e-06, eta: 5:53:36, time: 0.611, data_time: 0.059, memory: 38143, decode.loss_cls: 0.1957, decode.loss_mask: 0.4335, decode.loss_dice: 0.6805, decode.d0.loss_cls: 1.3075, decode.d0.loss_mask: 0.4651, decode.d0.loss_dice: 0.7480, decode.d1.loss_cls: 0.2719, decode.d1.loss_mask: 0.4499, decode.d1.loss_dice: 0.7169, decode.d2.loss_cls: 0.2290, decode.d2.loss_mask: 0.4412, decode.d2.loss_dice: 0.6944, decode.d3.loss_cls: 0.2096, decode.d3.loss_mask: 0.4344, decode.d3.loss_dice: 0.6874, decode.d4.loss_cls: 0.2084, decode.d4.loss_mask: 0.4344, decode.d4.loss_dice: 0.6887, decode.d5.loss_cls: 0.2035, decode.d5.loss_mask: 0.4339, decode.d5.loss_dice: 0.6848, decode.d6.loss_cls: 0.1988, decode.d6.loss_mask: 0.4326, decode.d6.loss_dice: 0.6829, decode.d7.loss_cls: 0.1995, decode.d7.loss_mask: 0.4332, decode.d7.loss_dice: 0.6781, decode.d8.loss_cls: 0.1958, decode.d8.loss_mask: 0.4323, decode.d8.loss_dice: 0.6811, loss: 14.5529, grad_norm: 71.9157 2023-11-22 17:25:12,815 - mmseg - INFO - Iter [123850/160000] lr: 2.152e-06, eta: 5:53:06, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1781, decode.loss_mask: 0.4599, decode.loss_dice: 0.6804, decode.d0.loss_cls: 1.2512, decode.d0.loss_mask: 0.4931, decode.d0.loss_dice: 0.7558, decode.d1.loss_cls: 0.2609, decode.d1.loss_mask: 0.4756, decode.d1.loss_dice: 0.7140, decode.d2.loss_cls: 0.2193, decode.d2.loss_mask: 0.4659, decode.d2.loss_dice: 0.6936, decode.d3.loss_cls: 0.1993, decode.d3.loss_mask: 0.4633, decode.d3.loss_dice: 0.6863, decode.d4.loss_cls: 0.1911, decode.d4.loss_mask: 0.4615, decode.d4.loss_dice: 0.6876, decode.d5.loss_cls: 0.1847, decode.d5.loss_mask: 0.4612, decode.d5.loss_dice: 0.6865, decode.d6.loss_cls: 0.1848, decode.d6.loss_mask: 0.4603, decode.d6.loss_dice: 0.6809, decode.d7.loss_cls: 0.1816, decode.d7.loss_mask: 0.4612, decode.d7.loss_dice: 0.6841, decode.d8.loss_cls: 0.1798, decode.d8.loss_mask: 0.4598, decode.d8.loss_dice: 0.6842, loss: 14.6461, grad_norm: 66.4168 2023-11-22 17:25:41,236 - mmseg - INFO - Iter [123900/160000] lr: 2.149e-06, eta: 5:52:36, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1852, decode.loss_mask: 0.4271, decode.loss_dice: 0.6787, decode.d0.loss_cls: 1.2822, decode.d0.loss_mask: 0.4566, decode.d0.loss_dice: 0.7557, decode.d1.loss_cls: 0.2605, decode.d1.loss_mask: 0.4438, decode.d1.loss_dice: 0.7147, decode.d2.loss_cls: 0.2177, decode.d2.loss_mask: 0.4362, decode.d2.loss_dice: 0.6998, decode.d3.loss_cls: 0.2018, decode.d3.loss_mask: 0.4316, decode.d3.loss_dice: 0.6869, decode.d4.loss_cls: 0.1959, decode.d4.loss_mask: 0.4310, decode.d4.loss_dice: 0.6830, decode.d5.loss_cls: 0.1889, decode.d5.loss_mask: 0.4306, decode.d5.loss_dice: 0.6841, decode.d6.loss_cls: 0.1889, decode.d6.loss_mask: 0.4297, decode.d6.loss_dice: 0.6815, decode.d7.loss_cls: 0.1862, decode.d7.loss_mask: 0.4295, decode.d7.loss_dice: 0.6800, decode.d8.loss_cls: 0.1828, decode.d8.loss_mask: 0.4288, decode.d8.loss_dice: 0.6802, loss: 14.3796, grad_norm: 61.7676 2023-11-22 17:26:09,653 - mmseg - INFO - Iter [123950/160000] lr: 2.146e-06, eta: 5:52:07, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1945, decode.loss_mask: 0.4496, decode.loss_dice: 0.6766, decode.d0.loss_cls: 1.2851, decode.d0.loss_mask: 0.4853, decode.d0.loss_dice: 0.7589, decode.d1.loss_cls: 0.2639, decode.d1.loss_mask: 0.4658, decode.d1.loss_dice: 0.7189, decode.d2.loss_cls: 0.2240, decode.d2.loss_mask: 0.4571, decode.d2.loss_dice: 0.6968, decode.d3.loss_cls: 0.2084, decode.d3.loss_mask: 0.4517, decode.d3.loss_dice: 0.6836, decode.d4.loss_cls: 0.2043, decode.d4.loss_mask: 0.4505, decode.d4.loss_dice: 0.6852, decode.d5.loss_cls: 0.2007, decode.d5.loss_mask: 0.4512, decode.d5.loss_dice: 0.6823, decode.d6.loss_cls: 0.1937, decode.d6.loss_mask: 0.4504, decode.d6.loss_dice: 0.6792, decode.d7.loss_cls: 0.1927, decode.d7.loss_mask: 0.4509, decode.d7.loss_dice: 0.6774, decode.d8.loss_cls: 0.1900, decode.d8.loss_mask: 0.4491, decode.d8.loss_dice: 0.6770, loss: 14.6547, grad_norm: 71.9507 2023-11-22 17:26:38,169 - mmseg - INFO - Saving checkpoint at 124000 iterations 2023-11-22 17:26:46,139 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 17:26:46,139 - mmseg - INFO - Iter [124000/160000] lr: 2.143e-06, eta: 5:51:40, time: 0.730, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1890, decode.loss_mask: 0.4614, decode.loss_dice: 0.6901, decode.d0.loss_cls: 1.2849, decode.d0.loss_mask: 0.4939, decode.d0.loss_dice: 0.7691, decode.d1.loss_cls: 0.2680, decode.d1.loss_mask: 0.4790, decode.d1.loss_dice: 0.7274, decode.d2.loss_cls: 0.2245, decode.d2.loss_mask: 0.4700, decode.d2.loss_dice: 0.7075, decode.d3.loss_cls: 0.2068, decode.d3.loss_mask: 0.4659, decode.d3.loss_dice: 0.6950, decode.d4.loss_cls: 0.2013, decode.d4.loss_mask: 0.4631, decode.d4.loss_dice: 0.6935, decode.d5.loss_cls: 0.1974, decode.d5.loss_mask: 0.4621, decode.d5.loss_dice: 0.6898, decode.d6.loss_cls: 0.1901, decode.d6.loss_mask: 0.4623, decode.d6.loss_dice: 0.6911, decode.d7.loss_cls: 0.1876, decode.d7.loss_mask: 0.4620, decode.d7.loss_dice: 0.6949, decode.d8.loss_cls: 0.1886, decode.d8.loss_mask: 0.4609, decode.d8.loss_dice: 0.6927, loss: 14.8699, grad_norm: 71.0035 2023-11-22 17:27:05,477 - mmseg - INFO - per class results: 2023-11-22 17:27:05,482 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.09 | 88.52 | | building | 84.02 | 91.58 | | sky | 95.03 | 97.85 | | floor | 83.64 | 91.59 | | tree | 75.86 | 88.04 | | ceiling | 85.64 | 92.2 | | road | 86.1 | 93.04 | | bed | 90.73 | 95.31 | | windowpane | 64.82 | 82.33 | | grass | 68.74 | 81.71 | | cabinet | 63.92 | 76.45 | | sidewalk | 67.45 | 80.19 | | person | 86.42 | 93.86 | | earth | 36.38 | 49.05 | | door | 55.36 | 69.82 | | table | 70.82 | 83.3 | | mountain | 58.19 | 73.95 | | plant | 53.79 | 66.76 | | curtain | 75.14 | 85.68 | | chair | 65.19 | 76.86 | | car | 87.2 | 93.89 | | water | 56.65 | 70.41 | | painting | 77.95 | 90.19 | | sofa | 76.39 | 89.71 | | shelf | 41.68 | 58.24 | | house | 49.0 | 82.97 | | sea | 62.91 | 90.98 | | mirror | 73.6 | 83.46 | | rug | 66.06 | 80.39 | | field | 36.69 | 58.17 | | armchair | 52.2 | 69.35 | | seat | 64.64 | 86.53 | | fence | 51.62 | 69.74 | | desk | 53.15 | 79.08 | | rock | 50.73 | 69.26 | | wardrobe | 50.72 | 69.83 | | lamp | 74.12 | 83.17 | | bathtub | 75.13 | 86.46 | | railing | 38.89 | 55.12 | | cushion | 67.72 | 75.69 | | base | 33.98 | 53.75 | | box | 34.17 | 45.79 | | column | 52.26 | 68.98 | | signboard | 41.21 | 59.32 | | chest of drawers | 36.75 | 57.21 | | counter | 43.17 | 53.67 | | sand | 34.99 | 51.72 | | sink | 81.04 | 85.59 | | skyscraper | 62.15 | 78.16 | | fireplace | 73.69 | 93.09 | | refrigerator | 78.99 | 83.52 | | grandstand | 45.59 | 76.55 | | path | 19.22 | 34.48 | | stairs | 34.74 | 41.22 | | runway | 72.53 | 93.1 | | case | 54.67 | 76.38 | | pool table | 94.37 | 97.67 | | pillow | 63.67 | 75.87 | | screen door | 68.3 | 72.6 | | stairway | 36.58 | 47.09 | | river | 12.85 | 20.69 | | bridge | 80.89 | 91.62 | | bookcase | 24.29 | 40.97 | | blind | 41.11 | 44.59 | | coffee table | 70.8 | 87.33 | | toilet | 91.61 | 94.13 | | flower | 49.26 | 70.06 | | book | 52.59 | 77.97 | | hill | 8.47 | 14.24 | | bench | 63.39 | 71.76 | | countertop | 59.42 | 80.17 | | stove | 88.28 | 92.19 | | palm | 54.81 | 80.31 | | kitchen island | 55.39 | 89.83 | | computer | 75.31 | 83.47 | | swivel chair | 44.46 | 62.55 | | boat | 37.29 | 57.1 | | bar | 67.33 | 73.26 | | arcade machine | 73.92 | 78.6 | | hovel | 46.61 | 49.44 | | bus | 94.65 | 97.1 | | towel | 74.07 | 87.74 | | light | 65.63 | 78.65 | | truck | 44.48 | 55.44 | | tower | 21.13 | 34.96 | | chandelier | 72.0 | 84.83 | | awning | 39.0 | 51.64 | | streetlight | 46.8 | 65.55 | | booth | 52.83 | 68.73 | | television receiver | 81.46 | 89.4 | | airplane | 62.16 | 75.06 | | dirt track | 12.42 | 13.93 | | apparel | 49.52 | 67.89 | | pole | 34.97 | 53.17 | | land | 5.23 | 6.43 | | bannister | 23.33 | 36.18 | | escalator | 24.08 | 27.19 | | ottoman | 53.17 | 71.21 | | bottle | 29.43 | 63.44 | | buffet | 36.68 | 42.9 | | poster | 32.21 | 43.98 | | stage | 30.12 | 48.61 | | van | 38.86 | 59.51 | | ship | 9.79 | 14.59 | | fountain | 21.58 | 21.92 | | conveyer belt | 41.9 | 94.15 | | canopy | 30.0 | 53.48 | | washer | 70.54 | 73.94 | | plaything | 41.05 | 59.11 | | swimming pool | 56.47 | 58.64 | | stool | 52.97 | 72.83 | | barrel | 88.88 | 98.2 | | basket | 45.54 | 61.29 | | waterfall | 78.85 | 89.68 | | tent | 89.8 | 98.17 | | bag | 20.92 | 28.8 | | minibike | 71.55 | 90.12 | | cradle | 86.69 | 97.59 | | oven | 24.96 | 69.95 | | ball | 60.3 | 68.9 | | food | 52.0 | 57.15 | | step | 24.71 | 31.98 | | tank | 63.12 | 66.05 | | trade name | 33.94 | 40.56 | | microwave | 42.39 | 46.37 | | pot | 53.25 | 65.33 | | animal | 58.24 | 59.52 | | bicycle | 63.0 | 81.75 | | lake | 54.12 | 63.48 | | dishwasher | 81.46 | 87.36 | | screen | 58.33 | 95.09 | | blanket | 32.73 | 43.71 | | sculpture | 67.62 | 89.29 | | hood | 66.05 | 78.23 | | sconce | 62.36 | 76.33 | | vase | 53.63 | 74.46 | | traffic light | 48.51 | 72.07 | | tray | 20.62 | 28.26 | | ashcan | 52.3 | 73.32 | | fan | 71.3 | 85.53 | | pier | 15.75 | 16.96 | | crt screen | 2.44 | 7.34 | | plate | 62.84 | 81.55 | | monitor | 9.99 | 13.17 | | bulletin board | 63.65 | 77.87 | | shower | 4.99 | 25.65 | | radiator | 69.25 | 84.67 | | glass | 22.95 | 24.59 | | clock | 55.45 | 69.25 | | flag | 54.96 | 62.15 | +---------------------+-------+-------+ 2023-11-22 17:27:05,482 - mmseg - INFO - Summary: 2023-11-22 17:27:05,483 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.88 | 54.36 | 67.74 | +-------+-------+-------+ 2023-11-22 17:27:05,483 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 17:27:05,484 - mmseg - INFO - Iter(val) [250] aAcc: 0.8488, mIoU: 0.5436, mAcc: 0.6774, IoU.wall: 0.8109, IoU.building: 0.8402, IoU.sky: 0.9503, IoU.floor: 0.8364, IoU.tree: 0.7586, IoU.ceiling: 0.8564, IoU.road: 0.8610, IoU.bed : 0.9073, IoU.windowpane: 0.6482, IoU.grass: 0.6874, IoU.cabinet: 0.6392, IoU.sidewalk: 0.6745, IoU.person: 0.8642, IoU.earth: 0.3638, IoU.door: 0.5536, IoU.table: 0.7082, IoU.mountain: 0.5819, IoU.plant: 0.5379, IoU.curtain: 0.7514, IoU.chair: 0.6519, IoU.car: 0.8720, IoU.water: 0.5665, IoU.painting: 0.7795, IoU.sofa: 0.7639, IoU.shelf: 0.4168, IoU.house: 0.4900, IoU.sea: 0.6291, IoU.mirror: 0.7360, IoU.rug: 0.6606, IoU.field: 0.3669, IoU.armchair: 0.5220, IoU.seat: 0.6464, IoU.fence: 0.5162, IoU.desk: 0.5315, IoU.rock: 0.5073, IoU.wardrobe: 0.5072, IoU.lamp: 0.7412, IoU.bathtub: 0.7513, IoU.railing: 0.3889, IoU.cushion: 0.6772, IoU.base: 0.3398, IoU.box: 0.3417, IoU.column: 0.5226, IoU.signboard: 0.4121, IoU.chest of drawers: 0.3675, IoU.counter: 0.4317, IoU.sand: 0.3499, IoU.sink: 0.8104, IoU.skyscraper: 0.6215, IoU.fireplace: 0.7369, IoU.refrigerator: 0.7899, IoU.grandstand: 0.4559, IoU.path: 0.1922, IoU.stairs: 0.3474, IoU.runway: 0.7253, IoU.case: 0.5467, IoU.pool table: 0.9437, IoU.pillow: 0.6367, IoU.screen door: 0.6830, IoU.stairway: 0.3658, IoU.river: 0.1285, IoU.bridge: 0.8089, IoU.bookcase: 0.2429, IoU.blind: 0.4111, IoU.coffee table: 0.7080, IoU.toilet: 0.9161, IoU.flower: 0.4926, IoU.book: 0.5259, IoU.hill: 0.0847, IoU.bench: 0.6339, IoU.countertop: 0.5942, IoU.stove: 0.8828, IoU.palm: 0.5481, IoU.kitchen island: 0.5539, IoU.computer: 0.7531, IoU.swivel chair: 0.4446, IoU.boat: 0.3729, IoU.bar: 0.6733, IoU.arcade machine: 0.7392, IoU.hovel: 0.4661, IoU.bus: 0.9465, IoU.towel: 0.7407, IoU.light: 0.6563, IoU.truck: 0.4448, IoU.tower: 0.2113, IoU.chandelier: 0.7200, IoU.awning: 0.3900, IoU.streetlight: 0.4680, IoU.booth: 0.5283, IoU.television receiver: 0.8146, IoU.airplane: 0.6216, IoU.dirt track: 0.1242, IoU.apparel: 0.4952, IoU.pole: 0.3497, IoU.land: 0.0523, IoU.bannister: 0.2333, IoU.escalator: 0.2408, IoU.ottoman: 0.5317, IoU.bottle: 0.2943, IoU.buffet: 0.3668, IoU.poster: 0.3221, IoU.stage: 0.3012, IoU.van: 0.3886, IoU.ship: 0.0979, IoU.fountain: 0.2158, IoU.conveyer belt: 0.4190, IoU.canopy: 0.3000, IoU.washer: 0.7054, IoU.plaything: 0.4105, IoU.swimming pool: 0.5647, IoU.stool: 0.5297, IoU.barrel: 0.8888, IoU.basket: 0.4554, IoU.waterfall: 0.7885, IoU.tent: 0.8980, IoU.bag: 0.2092, IoU.minibike: 0.7155, IoU.cradle: 0.8669, IoU.oven: 0.2496, IoU.ball: 0.6030, IoU.food: 0.5200, IoU.step: 0.2471, IoU.tank: 0.6312, IoU.trade name: 0.3394, IoU.microwave: 0.4239, IoU.pot: 0.5325, IoU.animal: 0.5824, IoU.bicycle: 0.6300, IoU.lake: 0.5412, IoU.dishwasher: 0.8146, IoU.screen: 0.5833, IoU.blanket: 0.3273, IoU.sculpture: 0.6762, IoU.hood: 0.6605, IoU.sconce: 0.6236, IoU.vase: 0.5363, IoU.traffic light: 0.4851, IoU.tray: 0.2062, IoU.ashcan: 0.5230, IoU.fan: 0.7130, IoU.pier: 0.1575, IoU.crt screen: 0.0244, IoU.plate: 0.6284, IoU.monitor: 0.0999, IoU.bulletin board: 0.6365, IoU.shower: 0.0499, IoU.radiator: 0.6925, IoU.glass: 0.2295, IoU.clock: 0.5545, IoU.flag: 0.5496, Acc.wall: 0.8852, Acc.building: 0.9158, Acc.sky: 0.9785, Acc.floor: 0.9159, Acc.tree: 0.8804, Acc.ceiling: 0.9220, Acc.road: 0.9304, Acc.bed : 0.9531, Acc.windowpane: 0.8233, Acc.grass: 0.8171, Acc.cabinet: 0.7645, Acc.sidewalk: 0.8019, Acc.person: 0.9386, Acc.earth: 0.4905, Acc.door: 0.6982, Acc.table: 0.8330, Acc.mountain: 0.7395, Acc.plant: 0.6676, Acc.curtain: 0.8568, Acc.chair: 0.7686, Acc.car: 0.9389, Acc.water: 0.7041, Acc.painting: 0.9019, Acc.sofa: 0.8971, Acc.shelf: 0.5824, Acc.house: 0.8297, Acc.sea: 0.9098, Acc.mirror: 0.8346, Acc.rug: 0.8039, Acc.field: 0.5817, Acc.armchair: 0.6935, Acc.seat: 0.8653, Acc.fence: 0.6974, Acc.desk: 0.7908, Acc.rock: 0.6926, Acc.wardrobe: 0.6983, Acc.lamp: 0.8317, Acc.bathtub: 0.8646, Acc.railing: 0.5512, Acc.cushion: 0.7569, Acc.base: 0.5375, Acc.box: 0.4579, Acc.column: 0.6898, Acc.signboard: 0.5932, Acc.chest of drawers: 0.5721, Acc.counter: 0.5367, Acc.sand: 0.5172, Acc.sink: 0.8559, Acc.skyscraper: 0.7816, Acc.fireplace: 0.9309, Acc.refrigerator: 0.8352, Acc.grandstand: 0.7655, Acc.path: 0.3448, Acc.stairs: 0.4122, Acc.runway: 0.9310, Acc.case: 0.7638, Acc.pool table: 0.9767, Acc.pillow: 0.7587, Acc.screen door: 0.7260, Acc.stairway: 0.4709, Acc.river: 0.2069, Acc.bridge: 0.9162, Acc.bookcase: 0.4097, Acc.blind: 0.4459, Acc.coffee table: 0.8733, Acc.toilet: 0.9413, Acc.flower: 0.7006, Acc.book: 0.7797, Acc.hill: 0.1424, Acc.bench: 0.7176, Acc.countertop: 0.8017, Acc.stove: 0.9219, Acc.palm: 0.8031, Acc.kitchen island: 0.8983, Acc.computer: 0.8347, Acc.swivel chair: 0.6255, Acc.boat: 0.5710, Acc.bar: 0.7326, Acc.arcade machine: 0.7860, Acc.hovel: 0.4944, Acc.bus: 0.9710, Acc.towel: 0.8774, Acc.light: 0.7865, Acc.truck: 0.5544, Acc.tower: 0.3496, Acc.chandelier: 0.8483, Acc.awning: 0.5164, Acc.streetlight: 0.6555, Acc.booth: 0.6873, Acc.television receiver: 0.8940, Acc.airplane: 0.7506, Acc.dirt track: 0.1393, Acc.apparel: 0.6789, Acc.pole: 0.5317, Acc.land: 0.0643, Acc.bannister: 0.3618, Acc.escalator: 0.2719, Acc.ottoman: 0.7121, Acc.bottle: 0.6344, Acc.buffet: 0.4290, Acc.poster: 0.4398, Acc.stage: 0.4861, Acc.van: 0.5951, Acc.ship: 0.1459, Acc.fountain: 0.2192, Acc.conveyer belt: 0.9415, Acc.canopy: 0.5348, Acc.washer: 0.7394, Acc.plaything: 0.5911, Acc.swimming pool: 0.5864, Acc.stool: 0.7283, Acc.barrel: 0.9820, Acc.basket: 0.6129, Acc.waterfall: 0.8968, Acc.tent: 0.9817, Acc.bag: 0.2880, Acc.minibike: 0.9012, Acc.cradle: 0.9759, Acc.oven: 0.6995, Acc.ball: 0.6890, Acc.food: 0.5715, Acc.step: 0.3198, Acc.tank: 0.6605, Acc.trade name: 0.4056, Acc.microwave: 0.4637, Acc.pot: 0.6533, Acc.animal: 0.5952, Acc.bicycle: 0.8175, Acc.lake: 0.6348, Acc.dishwasher: 0.8736, Acc.screen: 0.9509, Acc.blanket: 0.4371, Acc.sculpture: 0.8929, Acc.hood: 0.7823, Acc.sconce: 0.7633, Acc.vase: 0.7446, Acc.traffic light: 0.7207, Acc.tray: 0.2826, Acc.ashcan: 0.7332, Acc.fan: 0.8553, Acc.pier: 0.1696, Acc.crt screen: 0.0734, Acc.plate: 0.8155, Acc.monitor: 0.1317, Acc.bulletin board: 0.7787, Acc.shower: 0.2565, Acc.radiator: 0.8467, Acc.glass: 0.2459, Acc.clock: 0.6925, Acc.flag: 0.6215 2023-11-22 17:27:33,894 - mmseg - INFO - Iter [124050/160000] lr: 2.140e-06, eta: 5:51:16, time: 0.955, data_time: 0.399, memory: 38143, decode.loss_cls: 0.1891, decode.loss_mask: 0.4535, decode.loss_dice: 0.6722, decode.d0.loss_cls: 1.2493, decode.d0.loss_mask: 0.4864, decode.d0.loss_dice: 0.7532, decode.d1.loss_cls: 0.2632, decode.d1.loss_mask: 0.4709, decode.d1.loss_dice: 0.7060, decode.d2.loss_cls: 0.2239, decode.d2.loss_mask: 0.4596, decode.d2.loss_dice: 0.6894, decode.d3.loss_cls: 0.2125, decode.d3.loss_mask: 0.4574, decode.d3.loss_dice: 0.6761, decode.d4.loss_cls: 0.2012, decode.d4.loss_mask: 0.4578, decode.d4.loss_dice: 0.6782, decode.d5.loss_cls: 0.1999, decode.d5.loss_mask: 0.4539, decode.d5.loss_dice: 0.6769, decode.d6.loss_cls: 0.1948, decode.d6.loss_mask: 0.4534, decode.d6.loss_dice: 0.6742, decode.d7.loss_cls: 0.1878, decode.d7.loss_mask: 0.4534, decode.d7.loss_dice: 0.6759, decode.d8.loss_cls: 0.1910, decode.d8.loss_mask: 0.4526, decode.d8.loss_dice: 0.6694, loss: 14.5833, grad_norm: 67.7134 2023-11-22 17:28:02,010 - mmseg - INFO - Iter [124100/160000] lr: 2.137e-06, eta: 5:50:46, time: 0.562, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1855, decode.loss_mask: 0.4527, decode.loss_dice: 0.6982, decode.d0.loss_cls: 1.2875, decode.d0.loss_mask: 0.4897, decode.d0.loss_dice: 0.7734, decode.d1.loss_cls: 0.2567, decode.d1.loss_mask: 0.4750, decode.d1.loss_dice: 0.7328, decode.d2.loss_cls: 0.2150, decode.d2.loss_mask: 0.4625, decode.d2.loss_dice: 0.7140, decode.d3.loss_cls: 0.2020, decode.d3.loss_mask: 0.4586, decode.d3.loss_dice: 0.7047, decode.d4.loss_cls: 0.1967, decode.d4.loss_mask: 0.4572, decode.d4.loss_dice: 0.7044, decode.d5.loss_cls: 0.1915, decode.d5.loss_mask: 0.4560, decode.d5.loss_dice: 0.6998, decode.d6.loss_cls: 0.1907, decode.d6.loss_mask: 0.4554, decode.d6.loss_dice: 0.6978, decode.d7.loss_cls: 0.1818, decode.d7.loss_mask: 0.4559, decode.d7.loss_dice: 0.7011, decode.d8.loss_cls: 0.1889, decode.d8.loss_mask: 0.4526, decode.d8.loss_dice: 0.6984, loss: 14.8369, grad_norm: 66.6841 2023-11-22 17:28:30,277 - mmseg - INFO - Iter [124150/160000] lr: 2.134e-06, eta: 5:50:16, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1724, decode.loss_mask: 0.4486, decode.loss_dice: 0.6757, decode.d0.loss_cls: 1.2909, decode.d0.loss_mask: 0.4829, decode.d0.loss_dice: 0.7560, decode.d1.loss_cls: 0.2544, decode.d1.loss_mask: 0.4650, decode.d1.loss_dice: 0.7107, decode.d2.loss_cls: 0.2009, decode.d2.loss_mask: 0.4562, decode.d2.loss_dice: 0.6954, decode.d3.loss_cls: 0.1851, decode.d3.loss_mask: 0.4516, decode.d3.loss_dice: 0.6854, decode.d4.loss_cls: 0.1800, decode.d4.loss_mask: 0.4515, decode.d4.loss_dice: 0.6806, decode.d5.loss_cls: 0.1762, decode.d5.loss_mask: 0.4519, decode.d5.loss_dice: 0.6809, decode.d6.loss_cls: 0.1739, decode.d6.loss_mask: 0.4496, decode.d6.loss_dice: 0.6788, decode.d7.loss_cls: 0.1699, decode.d7.loss_mask: 0.4485, decode.d7.loss_dice: 0.6765, decode.d8.loss_cls: 0.1709, decode.d8.loss_mask: 0.4476, decode.d8.loss_dice: 0.6822, loss: 14.4504, grad_norm: 72.0274 2023-11-22 17:28:58,544 - mmseg - INFO - Iter [124200/160000] lr: 2.131e-06, eta: 5:49:47, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1944, decode.loss_mask: 0.4317, decode.loss_dice: 0.6664, decode.d0.loss_cls: 1.2954, decode.d0.loss_mask: 0.4621, decode.d0.loss_dice: 0.7414, decode.d1.loss_cls: 0.2775, decode.d1.loss_mask: 0.4501, decode.d1.loss_dice: 0.6965, decode.d2.loss_cls: 0.2313, decode.d2.loss_mask: 0.4375, decode.d2.loss_dice: 0.6837, decode.d3.loss_cls: 0.2165, decode.d3.loss_mask: 0.4332, decode.d3.loss_dice: 0.6750, decode.d4.loss_cls: 0.2081, decode.d4.loss_mask: 0.4349, decode.d4.loss_dice: 0.6661, decode.d5.loss_cls: 0.2034, decode.d5.loss_mask: 0.4359, decode.d5.loss_dice: 0.6666, decode.d6.loss_cls: 0.2012, decode.d6.loss_mask: 0.4324, decode.d6.loss_dice: 0.6639, decode.d7.loss_cls: 0.2009, decode.d7.loss_mask: 0.4321, decode.d7.loss_dice: 0.6667, decode.d8.loss_cls: 0.1982, decode.d8.loss_mask: 0.4311, decode.d8.loss_dice: 0.6731, loss: 14.4073, grad_norm: 64.9572 2023-11-22 17:29:27,091 - mmseg - INFO - Iter [124250/160000] lr: 2.128e-06, eta: 5:49:17, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.2010, decode.loss_mask: 0.4347, decode.loss_dice: 0.7027, decode.d0.loss_cls: 1.3257, decode.d0.loss_mask: 0.4694, decode.d0.loss_dice: 0.7794, decode.d1.loss_cls: 0.2829, decode.d1.loss_mask: 0.4504, decode.d1.loss_dice: 0.7417, decode.d2.loss_cls: 0.2345, decode.d2.loss_mask: 0.4425, decode.d2.loss_dice: 0.7198, decode.d3.loss_cls: 0.2188, decode.d3.loss_mask: 0.4403, decode.d3.loss_dice: 0.7106, decode.d4.loss_cls: 0.2118, decode.d4.loss_mask: 0.4371, decode.d4.loss_dice: 0.7068, decode.d5.loss_cls: 0.2088, decode.d5.loss_mask: 0.4355, decode.d5.loss_dice: 0.7068, decode.d6.loss_cls: 0.2069, decode.d6.loss_mask: 0.4364, decode.d6.loss_dice: 0.6994, decode.d7.loss_cls: 0.2019, decode.d7.loss_mask: 0.4363, decode.d7.loss_dice: 0.7003, decode.d8.loss_cls: 0.2041, decode.d8.loss_mask: 0.4342, decode.d8.loss_dice: 0.7013, loss: 14.8817, grad_norm: 65.0330 2023-11-22 17:29:55,583 - mmseg - INFO - Iter [124300/160000] lr: 2.125e-06, eta: 5:48:48, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1743, decode.loss_mask: 0.4569, decode.loss_dice: 0.6813, decode.d0.loss_cls: 1.2698, decode.d0.loss_mask: 0.4869, decode.d0.loss_dice: 0.7502, decode.d1.loss_cls: 0.2549, decode.d1.loss_mask: 0.4752, decode.d1.loss_dice: 0.7193, decode.d2.loss_cls: 0.2120, decode.d2.loss_mask: 0.4641, decode.d2.loss_dice: 0.6997, decode.d3.loss_cls: 0.1924, decode.d3.loss_mask: 0.4606, decode.d3.loss_dice: 0.6857, decode.d4.loss_cls: 0.1879, decode.d4.loss_mask: 0.4593, decode.d4.loss_dice: 0.6867, decode.d5.loss_cls: 0.1839, decode.d5.loss_mask: 0.4617, decode.d5.loss_dice: 0.6844, decode.d6.loss_cls: 0.1832, decode.d6.loss_mask: 0.4585, decode.d6.loss_dice: 0.6819, decode.d7.loss_cls: 0.1777, decode.d7.loss_mask: 0.4585, decode.d7.loss_dice: 0.6819, decode.d8.loss_cls: 0.1803, decode.d8.loss_mask: 0.4580, decode.d8.loss_dice: 0.6805, loss: 14.6076, grad_norm: 69.0396 2023-11-22 17:30:23,804 - mmseg - INFO - Iter [124350/160000] lr: 2.122e-06, eta: 5:48:18, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1792, decode.loss_mask: 0.4361, decode.loss_dice: 0.6578, decode.d0.loss_cls: 1.2606, decode.d0.loss_mask: 0.4685, decode.d0.loss_dice: 0.7322, decode.d1.loss_cls: 0.2584, decode.d1.loss_mask: 0.4515, decode.d1.loss_dice: 0.6933, decode.d2.loss_cls: 0.2147, decode.d2.loss_mask: 0.4415, decode.d2.loss_dice: 0.6786, decode.d3.loss_cls: 0.2023, decode.d3.loss_mask: 0.4372, decode.d3.loss_dice: 0.6638, decode.d4.loss_cls: 0.1940, decode.d4.loss_mask: 0.4366, decode.d4.loss_dice: 0.6668, decode.d5.loss_cls: 0.1851, decode.d5.loss_mask: 0.4375, decode.d5.loss_dice: 0.6650, decode.d6.loss_cls: 0.1876, decode.d6.loss_mask: 0.4354, decode.d6.loss_dice: 0.6562, decode.d7.loss_cls: 0.1810, decode.d7.loss_mask: 0.4363, decode.d7.loss_dice: 0.6595, decode.d8.loss_cls: 0.1841, decode.d8.loss_mask: 0.4353, decode.d8.loss_dice: 0.6564, loss: 14.1925, grad_norm: 62.9223 2023-11-22 17:30:52,011 - mmseg - INFO - Iter [124400/160000] lr: 2.119e-06, eta: 5:47:48, time: 0.564, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1879, decode.loss_mask: 0.4654, decode.loss_dice: 0.6993, decode.d0.loss_cls: 1.2813, decode.d0.loss_mask: 0.4989, decode.d0.loss_dice: 0.7725, decode.d1.loss_cls: 0.2662, decode.d1.loss_mask: 0.4790, decode.d1.loss_dice: 0.7325, decode.d2.loss_cls: 0.2297, decode.d2.loss_mask: 0.4736, decode.d2.loss_dice: 0.7202, decode.d3.loss_cls: 0.2141, decode.d3.loss_mask: 0.4731, decode.d3.loss_dice: 0.7047, decode.d4.loss_cls: 0.2057, decode.d4.loss_mask: 0.4707, decode.d4.loss_dice: 0.7023, decode.d5.loss_cls: 0.2006, decode.d5.loss_mask: 0.4702, decode.d5.loss_dice: 0.7010, decode.d6.loss_cls: 0.1982, decode.d6.loss_mask: 0.4681, decode.d6.loss_dice: 0.6982, decode.d7.loss_cls: 0.1952, decode.d7.loss_mask: 0.4672, decode.d7.loss_dice: 0.7033, decode.d8.loss_cls: 0.1939, decode.d8.loss_mask: 0.4667, decode.d8.loss_dice: 0.7019, loss: 15.0418, grad_norm: 65.4507 2023-11-22 17:31:20,271 - mmseg - INFO - Iter [124450/160000] lr: 2.116e-06, eta: 5:47:19, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1884, decode.loss_mask: 0.4489, decode.loss_dice: 0.6675, decode.d0.loss_cls: 1.2945, decode.d0.loss_mask: 0.4778, decode.d0.loss_dice: 0.7348, decode.d1.loss_cls: 0.2604, decode.d1.loss_mask: 0.4642, decode.d1.loss_dice: 0.7025, decode.d2.loss_cls: 0.2229, decode.d2.loss_mask: 0.4548, decode.d2.loss_dice: 0.6848, decode.d3.loss_cls: 0.2092, decode.d3.loss_mask: 0.4516, decode.d3.loss_dice: 0.6731, decode.d4.loss_cls: 0.1977, decode.d4.loss_mask: 0.4505, decode.d4.loss_dice: 0.6726, decode.d5.loss_cls: 0.1924, decode.d5.loss_mask: 0.4506, decode.d5.loss_dice: 0.6699, decode.d6.loss_cls: 0.1919, decode.d6.loss_mask: 0.4494, decode.d6.loss_dice: 0.6699, decode.d7.loss_cls: 0.1932, decode.d7.loss_mask: 0.4489, decode.d7.loss_dice: 0.6687, decode.d8.loss_cls: 0.1899, decode.d8.loss_mask: 0.4478, decode.d8.loss_dice: 0.6688, loss: 14.4975, grad_norm: 64.6158 2023-11-22 17:31:48,409 - mmseg - INFO - Iter [124500/160000] lr: 2.113e-06, eta: 5:46:49, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1911, decode.loss_mask: 0.4470, decode.loss_dice: 0.6792, decode.d0.loss_cls: 1.2699, decode.d0.loss_mask: 0.4850, decode.d0.loss_dice: 0.7579, decode.d1.loss_cls: 0.2664, decode.d1.loss_mask: 0.4630, decode.d1.loss_dice: 0.7160, decode.d2.loss_cls: 0.2156, decode.d2.loss_mask: 0.4558, decode.d2.loss_dice: 0.6951, decode.d3.loss_cls: 0.2063, decode.d3.loss_mask: 0.4529, decode.d3.loss_dice: 0.6825, decode.d4.loss_cls: 0.2002, decode.d4.loss_mask: 0.4512, decode.d4.loss_dice: 0.6834, decode.d5.loss_cls: 0.1939, decode.d5.loss_mask: 0.4490, decode.d5.loss_dice: 0.6808, decode.d6.loss_cls: 0.1945, decode.d6.loss_mask: 0.4484, decode.d6.loss_dice: 0.6774, decode.d7.loss_cls: 0.1889, decode.d7.loss_mask: 0.4488, decode.d7.loss_dice: 0.6780, decode.d8.loss_cls: 0.1855, decode.d8.loss_mask: 0.4471, decode.d8.loss_dice: 0.6779, loss: 14.5891, grad_norm: 71.3769 2023-11-22 17:32:16,984 - mmseg - INFO - Iter [124550/160000] lr: 2.110e-06, eta: 5:46:20, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1858, decode.loss_mask: 0.4360, decode.loss_dice: 0.6514, decode.d0.loss_cls: 1.2604, decode.d0.loss_mask: 0.4704, decode.d0.loss_dice: 0.7247, decode.d1.loss_cls: 0.2621, decode.d1.loss_mask: 0.4490, decode.d1.loss_dice: 0.6894, decode.d2.loss_cls: 0.2213, decode.d2.loss_mask: 0.4417, decode.d2.loss_dice: 0.6684, decode.d3.loss_cls: 0.2023, decode.d3.loss_mask: 0.4391, decode.d3.loss_dice: 0.6575, decode.d4.loss_cls: 0.2017, decode.d4.loss_mask: 0.4362, decode.d4.loss_dice: 0.6554, decode.d5.loss_cls: 0.1977, decode.d5.loss_mask: 0.4360, decode.d5.loss_dice: 0.6540, decode.d6.loss_cls: 0.1893, decode.d6.loss_mask: 0.4355, decode.d6.loss_dice: 0.6526, decode.d7.loss_cls: 0.1887, decode.d7.loss_mask: 0.4360, decode.d7.loss_dice: 0.6507, decode.d8.loss_cls: 0.1872, decode.d8.loss_mask: 0.4357, decode.d8.loss_dice: 0.6518, loss: 14.1682, grad_norm: 66.8152 2023-11-22 17:32:45,492 - mmseg - INFO - Iter [124600/160000] lr: 2.107e-06, eta: 5:45:50, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1922, decode.loss_mask: 0.4600, decode.loss_dice: 0.6888, decode.d0.loss_cls: 1.2873, decode.d0.loss_mask: 0.4882, decode.d0.loss_dice: 0.7630, decode.d1.loss_cls: 0.2721, decode.d1.loss_mask: 0.4749, decode.d1.loss_dice: 0.7273, decode.d2.loss_cls: 0.2276, decode.d2.loss_mask: 0.4665, decode.d2.loss_dice: 0.7017, decode.d3.loss_cls: 0.2122, decode.d3.loss_mask: 0.4635, decode.d3.loss_dice: 0.6928, decode.d4.loss_cls: 0.2072, decode.d4.loss_mask: 0.4621, decode.d4.loss_dice: 0.6945, decode.d5.loss_cls: 0.2043, decode.d5.loss_mask: 0.4621, decode.d5.loss_dice: 0.6871, decode.d6.loss_cls: 0.2002, decode.d6.loss_mask: 0.4625, decode.d6.loss_dice: 0.6881, decode.d7.loss_cls: 0.1945, decode.d7.loss_mask: 0.4627, decode.d7.loss_dice: 0.6886, decode.d8.loss_cls: 0.1887, decode.d8.loss_mask: 0.4616, decode.d8.loss_dice: 0.6944, loss: 14.8768, grad_norm: 76.5801 2023-11-22 17:33:13,768 - mmseg - INFO - Iter [124650/160000] lr: 2.104e-06, eta: 5:45:21, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1694, decode.loss_mask: 0.4539, decode.loss_dice: 0.6752, decode.d0.loss_cls: 1.2944, decode.d0.loss_mask: 0.4902, decode.d0.loss_dice: 0.7501, decode.d1.loss_cls: 0.2522, decode.d1.loss_mask: 0.4715, decode.d1.loss_dice: 0.7120, decode.d2.loss_cls: 0.2121, decode.d2.loss_mask: 0.4629, decode.d2.loss_dice: 0.6929, decode.d3.loss_cls: 0.1920, decode.d3.loss_mask: 0.4577, decode.d3.loss_dice: 0.6840, decode.d4.loss_cls: 0.1816, decode.d4.loss_mask: 0.4566, decode.d4.loss_dice: 0.6823, decode.d5.loss_cls: 0.1742, decode.d5.loss_mask: 0.4556, decode.d5.loss_dice: 0.6795, decode.d6.loss_cls: 0.1742, decode.d6.loss_mask: 0.4541, decode.d6.loss_dice: 0.6766, decode.d7.loss_cls: 0.1686, decode.d7.loss_mask: 0.4542, decode.d7.loss_dice: 0.6778, decode.d8.loss_cls: 0.1685, decode.d8.loss_mask: 0.4543, decode.d8.loss_dice: 0.6786, loss: 14.5072, grad_norm: 68.2195 2023-11-22 17:33:41,931 - mmseg - INFO - Iter [124700/160000] lr: 2.101e-06, eta: 5:44:51, time: 0.563, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1846, decode.loss_mask: 0.4474, decode.loss_dice: 0.6856, decode.d0.loss_cls: 1.2462, decode.d0.loss_mask: 0.4782, decode.d0.loss_dice: 0.7584, decode.d1.loss_cls: 0.2711, decode.d1.loss_mask: 0.4600, decode.d1.loss_dice: 0.7133, decode.d2.loss_cls: 0.2302, decode.d2.loss_mask: 0.4515, decode.d2.loss_dice: 0.6985, decode.d3.loss_cls: 0.2110, decode.d3.loss_mask: 0.4474, decode.d3.loss_dice: 0.6901, decode.d4.loss_cls: 0.2008, decode.d4.loss_mask: 0.4470, decode.d4.loss_dice: 0.6874, decode.d5.loss_cls: 0.1955, decode.d5.loss_mask: 0.4489, decode.d5.loss_dice: 0.6871, decode.d6.loss_cls: 0.1941, decode.d6.loss_mask: 0.4477, decode.d6.loss_dice: 0.6833, decode.d7.loss_cls: 0.1881, decode.d7.loss_mask: 0.4471, decode.d7.loss_dice: 0.6858, decode.d8.loss_cls: 0.1858, decode.d8.loss_mask: 0.4459, decode.d8.loss_dice: 0.6849, loss: 14.6025, grad_norm: 64.2945 2023-11-22 17:34:10,210 - mmseg - INFO - Iter [124750/160000] lr: 2.099e-06, eta: 5:44:21, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1762, decode.loss_mask: 0.4625, decode.loss_dice: 0.6817, decode.d0.loss_cls: 1.2978, decode.d0.loss_mask: 0.4958, decode.d0.loss_dice: 0.7594, decode.d1.loss_cls: 0.2628, decode.d1.loss_mask: 0.4779, decode.d1.loss_dice: 0.7209, decode.d2.loss_cls: 0.2090, decode.d2.loss_mask: 0.4688, decode.d2.loss_dice: 0.7020, decode.d3.loss_cls: 0.1979, decode.d3.loss_mask: 0.4647, decode.d3.loss_dice: 0.6864, decode.d4.loss_cls: 0.1945, decode.d4.loss_mask: 0.4640, decode.d4.loss_dice: 0.6880, decode.d5.loss_cls: 0.1866, decode.d5.loss_mask: 0.4629, decode.d5.loss_dice: 0.6897, decode.d6.loss_cls: 0.1818, decode.d6.loss_mask: 0.4625, decode.d6.loss_dice: 0.6831, decode.d7.loss_cls: 0.1789, decode.d7.loss_mask: 0.4604, decode.d7.loss_dice: 0.6805, decode.d8.loss_cls: 0.1769, decode.d8.loss_mask: 0.4611, decode.d8.loss_dice: 0.6799, loss: 14.7145, grad_norm: 67.1768 2023-11-22 17:34:38,404 - mmseg - INFO - Iter [124800/160000] lr: 2.096e-06, eta: 5:43:52, time: 0.564, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1808, decode.loss_mask: 0.4515, decode.loss_dice: 0.6900, decode.d0.loss_cls: 1.2700, decode.d0.loss_mask: 0.4911, decode.d0.loss_dice: 0.7638, decode.d1.loss_cls: 0.2616, decode.d1.loss_mask: 0.4741, decode.d1.loss_dice: 0.7314, decode.d2.loss_cls: 0.2106, decode.d2.loss_mask: 0.4636, decode.d2.loss_dice: 0.7117, decode.d3.loss_cls: 0.2025, decode.d3.loss_mask: 0.4575, decode.d3.loss_dice: 0.6951, decode.d4.loss_cls: 0.1894, decode.d4.loss_mask: 0.4566, decode.d4.loss_dice: 0.7000, decode.d5.loss_cls: 0.1887, decode.d5.loss_mask: 0.4563, decode.d5.loss_dice: 0.6984, decode.d6.loss_cls: 0.1856, decode.d6.loss_mask: 0.4535, decode.d6.loss_dice: 0.6911, decode.d7.loss_cls: 0.1826, decode.d7.loss_mask: 0.4541, decode.d7.loss_dice: 0.6922, decode.d8.loss_cls: 0.1825, decode.d8.loss_mask: 0.4525, decode.d8.loss_dice: 0.6884, loss: 14.7273, grad_norm: 64.4548 2023-11-22 17:35:07,138 - mmseg - INFO - Iter [124850/160000] lr: 2.093e-06, eta: 5:43:22, time: 0.575, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1966, decode.loss_mask: 0.4403, decode.loss_dice: 0.6808, decode.d0.loss_cls: 1.3111, decode.d0.loss_mask: 0.4753, decode.d0.loss_dice: 0.7687, decode.d1.loss_cls: 0.2927, decode.d1.loss_mask: 0.4570, decode.d1.loss_dice: 0.7263, decode.d2.loss_cls: 0.2432, decode.d2.loss_mask: 0.4467, decode.d2.loss_dice: 0.7046, decode.d3.loss_cls: 0.2217, decode.d3.loss_mask: 0.4419, decode.d3.loss_dice: 0.6909, decode.d4.loss_cls: 0.2122, decode.d4.loss_mask: 0.4423, decode.d4.loss_dice: 0.6912, decode.d5.loss_cls: 0.2063, decode.d5.loss_mask: 0.4401, decode.d5.loss_dice: 0.6863, decode.d6.loss_cls: 0.2037, decode.d6.loss_mask: 0.4407, decode.d6.loss_dice: 0.6834, decode.d7.loss_cls: 0.2004, decode.d7.loss_mask: 0.4399, decode.d7.loss_dice: 0.6824, decode.d8.loss_cls: 0.1952, decode.d8.loss_mask: 0.4402, decode.d8.loss_dice: 0.6827, loss: 14.7448, grad_norm: 72.0050 2023-11-22 17:35:35,560 - mmseg - INFO - Iter [124900/160000] lr: 2.090e-06, eta: 5:42:53, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1793, decode.loss_mask: 0.4497, decode.loss_dice: 0.6814, decode.d0.loss_cls: 1.2796, decode.d0.loss_mask: 0.4842, decode.d0.loss_dice: 0.7502, decode.d1.loss_cls: 0.2670, decode.d1.loss_mask: 0.4664, decode.d1.loss_dice: 0.7136, decode.d2.loss_cls: 0.2177, decode.d2.loss_mask: 0.4578, decode.d2.loss_dice: 0.6965, decode.d3.loss_cls: 0.1979, decode.d3.loss_mask: 0.4523, decode.d3.loss_dice: 0.6854, decode.d4.loss_cls: 0.1899, decode.d4.loss_mask: 0.4532, decode.d4.loss_dice: 0.6835, decode.d5.loss_cls: 0.1847, decode.d5.loss_mask: 0.4525, decode.d5.loss_dice: 0.6809, decode.d6.loss_cls: 0.1820, decode.d6.loss_mask: 0.4500, decode.d6.loss_dice: 0.6790, decode.d7.loss_cls: 0.1834, decode.d7.loss_mask: 0.4507, decode.d7.loss_dice: 0.6791, decode.d8.loss_cls: 0.1835, decode.d8.loss_mask: 0.4504, decode.d8.loss_dice: 0.6779, loss: 14.5596, grad_norm: 64.1479 2023-11-22 17:36:03,670 - mmseg - INFO - Iter [124950/160000] lr: 2.087e-06, eta: 5:42:23, time: 0.562, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1805, decode.loss_mask: 0.4513, decode.loss_dice: 0.6689, decode.d0.loss_cls: 1.2138, decode.d0.loss_mask: 0.4793, decode.d0.loss_dice: 0.7326, decode.d1.loss_cls: 0.2427, decode.d1.loss_mask: 0.4651, decode.d1.loss_dice: 0.6998, decode.d2.loss_cls: 0.2138, decode.d2.loss_mask: 0.4546, decode.d2.loss_dice: 0.6805, decode.d3.loss_cls: 0.1919, decode.d3.loss_mask: 0.4497, decode.d3.loss_dice: 0.6765, decode.d4.loss_cls: 0.1885, decode.d4.loss_mask: 0.4504, decode.d4.loss_dice: 0.6722, decode.d5.loss_cls: 0.1801, decode.d5.loss_mask: 0.4509, decode.d5.loss_dice: 0.6709, decode.d6.loss_cls: 0.1797, decode.d6.loss_mask: 0.4520, decode.d6.loss_dice: 0.6696, decode.d7.loss_cls: 0.1784, decode.d7.loss_mask: 0.4526, decode.d7.loss_dice: 0.6704, decode.d8.loss_cls: 0.1802, decode.d8.loss_mask: 0.4515, decode.d8.loss_dice: 0.6732, loss: 14.3217, grad_norm: 69.0759 2023-11-22 17:36:32,088 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 17:36:32,088 - mmseg - INFO - Iter [125000/160000] lr: 2.084e-06, eta: 5:41:53, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1767, decode.loss_mask: 0.4396, decode.loss_dice: 0.6700, decode.d0.loss_cls: 1.2546, decode.d0.loss_mask: 0.4791, decode.d0.loss_dice: 0.7446, decode.d1.loss_cls: 0.2556, decode.d1.loss_mask: 0.4569, decode.d1.loss_dice: 0.7051, decode.d2.loss_cls: 0.2057, decode.d2.loss_mask: 0.4468, decode.d2.loss_dice: 0.6879, decode.d3.loss_cls: 0.1922, decode.d3.loss_mask: 0.4426, decode.d3.loss_dice: 0.6739, decode.d4.loss_cls: 0.1875, decode.d4.loss_mask: 0.4411, decode.d4.loss_dice: 0.6704, decode.d5.loss_cls: 0.1808, decode.d5.loss_mask: 0.4394, decode.d5.loss_dice: 0.6698, decode.d6.loss_cls: 0.1801, decode.d6.loss_mask: 0.4410, decode.d6.loss_dice: 0.6695, decode.d7.loss_cls: 0.1781, decode.d7.loss_mask: 0.4397, decode.d7.loss_dice: 0.6679, decode.d8.loss_cls: 0.1805, decode.d8.loss_mask: 0.4385, decode.d8.loss_dice: 0.6652, loss: 14.2812, grad_norm: 67.3334 2023-11-22 17:37:02,692 - mmseg - INFO - Iter [125050/160000] lr: 2.081e-06, eta: 5:41:24, time: 0.612, data_time: 0.059, memory: 38143, decode.loss_cls: 0.1642, decode.loss_mask: 0.4456, decode.loss_dice: 0.6719, decode.d0.loss_cls: 1.2490, decode.d0.loss_mask: 0.4796, decode.d0.loss_dice: 0.7384, decode.d1.loss_cls: 0.2375, decode.d1.loss_mask: 0.4600, decode.d1.loss_dice: 0.7025, decode.d2.loss_cls: 0.1992, decode.d2.loss_mask: 0.4520, decode.d2.loss_dice: 0.6879, decode.d3.loss_cls: 0.1874, decode.d3.loss_mask: 0.4481, decode.d3.loss_dice: 0.6758, decode.d4.loss_cls: 0.1778, decode.d4.loss_mask: 0.4471, decode.d4.loss_dice: 0.6706, decode.d5.loss_cls: 0.1756, decode.d5.loss_mask: 0.4471, decode.d5.loss_dice: 0.6713, decode.d6.loss_cls: 0.1719, decode.d6.loss_mask: 0.4448, decode.d6.loss_dice: 0.6694, decode.d7.loss_cls: 0.1703, decode.d7.loss_mask: 0.4444, decode.d7.loss_dice: 0.6668, decode.d8.loss_cls: 0.1658, decode.d8.loss_mask: 0.4453, decode.d8.loss_dice: 0.6722, loss: 14.2398, grad_norm: 63.8329 2023-11-22 17:37:31,042 - mmseg - INFO - Iter [125100/160000] lr: 2.078e-06, eta: 5:40:55, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1729, decode.loss_mask: 0.4437, decode.loss_dice: 0.6656, decode.d0.loss_cls: 1.2364, decode.d0.loss_mask: 0.4721, decode.d0.loss_dice: 0.7341, decode.d1.loss_cls: 0.2523, decode.d1.loss_mask: 0.4569, decode.d1.loss_dice: 0.6954, decode.d2.loss_cls: 0.2054, decode.d2.loss_mask: 0.4517, decode.d2.loss_dice: 0.6797, decode.d3.loss_cls: 0.1913, decode.d3.loss_mask: 0.4468, decode.d3.loss_dice: 0.6698, decode.d4.loss_cls: 0.1861, decode.d4.loss_mask: 0.4442, decode.d4.loss_dice: 0.6683, decode.d5.loss_cls: 0.1789, decode.d5.loss_mask: 0.4453, decode.d5.loss_dice: 0.6646, decode.d6.loss_cls: 0.1781, decode.d6.loss_mask: 0.4442, decode.d6.loss_dice: 0.6649, decode.d7.loss_cls: 0.1752, decode.d7.loss_mask: 0.4428, decode.d7.loss_dice: 0.6637, decode.d8.loss_cls: 0.1761, decode.d8.loss_mask: 0.4423, decode.d8.loss_dice: 0.6649, loss: 14.2138, grad_norm: 70.0360 2023-11-22 17:37:59,658 - mmseg - INFO - Iter [125150/160000] lr: 2.075e-06, eta: 5:40:25, time: 0.572, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1894, decode.loss_mask: 0.4299, decode.loss_dice: 0.6464, decode.d0.loss_cls: 1.2568, decode.d0.loss_mask: 0.4662, decode.d0.loss_dice: 0.7245, decode.d1.loss_cls: 0.2573, decode.d1.loss_mask: 0.4497, decode.d1.loss_dice: 0.6793, decode.d2.loss_cls: 0.2222, decode.d2.loss_mask: 0.4384, decode.d2.loss_dice: 0.6606, decode.d3.loss_cls: 0.2046, decode.d3.loss_mask: 0.4333, decode.d3.loss_dice: 0.6488, decode.d4.loss_cls: 0.1968, decode.d4.loss_mask: 0.4315, decode.d4.loss_dice: 0.6498, decode.d5.loss_cls: 0.1940, decode.d5.loss_mask: 0.4320, decode.d5.loss_dice: 0.6514, decode.d6.loss_cls: 0.1902, decode.d6.loss_mask: 0.4315, decode.d6.loss_dice: 0.6460, decode.d7.loss_cls: 0.1851, decode.d7.loss_mask: 0.4305, decode.d7.loss_dice: 0.6454, decode.d8.loss_cls: 0.1880, decode.d8.loss_mask: 0.4290, decode.d8.loss_dice: 0.6450, loss: 14.0535, grad_norm: 67.3171 2023-11-22 17:38:28,208 - mmseg - INFO - Iter [125200/160000] lr: 2.072e-06, eta: 5:39:56, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1829, decode.loss_mask: 0.4469, decode.loss_dice: 0.6775, decode.d0.loss_cls: 1.3122, decode.d0.loss_mask: 0.4784, decode.d0.loss_dice: 0.7504, decode.d1.loss_cls: 0.2659, decode.d1.loss_mask: 0.4611, decode.d1.loss_dice: 0.7194, decode.d2.loss_cls: 0.2164, decode.d2.loss_mask: 0.4556, decode.d2.loss_dice: 0.6988, decode.d3.loss_cls: 0.1986, decode.d3.loss_mask: 0.4509, decode.d3.loss_dice: 0.6900, decode.d4.loss_cls: 0.1931, decode.d4.loss_mask: 0.4495, decode.d4.loss_dice: 0.6829, decode.d5.loss_cls: 0.1882, decode.d5.loss_mask: 0.4518, decode.d5.loss_dice: 0.6852, decode.d6.loss_cls: 0.1852, decode.d6.loss_mask: 0.4491, decode.d6.loss_dice: 0.6792, decode.d7.loss_cls: 0.1812, decode.d7.loss_mask: 0.4481, decode.d7.loss_dice: 0.6769, decode.d8.loss_cls: 0.1852, decode.d8.loss_mask: 0.4485, decode.d8.loss_dice: 0.6761, loss: 14.5851, grad_norm: 64.7241 2023-11-22 17:38:56,477 - mmseg - INFO - Iter [125250/160000] lr: 2.069e-06, eta: 5:39:26, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1720, decode.loss_mask: 0.4459, decode.loss_dice: 0.6755, decode.d0.loss_cls: 1.2714, decode.d0.loss_mask: 0.4785, decode.d0.loss_dice: 0.7433, decode.d1.loss_cls: 0.2589, decode.d1.loss_mask: 0.4620, decode.d1.loss_dice: 0.7061, decode.d2.loss_cls: 0.2057, decode.d2.loss_mask: 0.4528, decode.d2.loss_dice: 0.6894, decode.d3.loss_cls: 0.1916, decode.d3.loss_mask: 0.4488, decode.d3.loss_dice: 0.6751, decode.d4.loss_cls: 0.1852, decode.d4.loss_mask: 0.4486, decode.d4.loss_dice: 0.6747, decode.d5.loss_cls: 0.1779, decode.d5.loss_mask: 0.4492, decode.d5.loss_dice: 0.6737, decode.d6.loss_cls: 0.1744, decode.d6.loss_mask: 0.4468, decode.d6.loss_dice: 0.6745, decode.d7.loss_cls: 0.1721, decode.d7.loss_mask: 0.4451, decode.d7.loss_dice: 0.6731, decode.d8.loss_cls: 0.1733, decode.d8.loss_mask: 0.4461, decode.d8.loss_dice: 0.6719, loss: 14.3635, grad_norm: 65.5693 2023-11-22 17:39:24,871 - mmseg - INFO - Iter [125300/160000] lr: 2.066e-06, eta: 5:38:57, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1805, decode.loss_mask: 0.4406, decode.loss_dice: 0.6730, decode.d0.loss_cls: 1.2620, decode.d0.loss_mask: 0.4748, decode.d0.loss_dice: 0.7478, decode.d1.loss_cls: 0.2566, decode.d1.loss_mask: 0.4596, decode.d1.loss_dice: 0.7027, decode.d2.loss_cls: 0.2116, decode.d2.loss_mask: 0.4489, decode.d2.loss_dice: 0.6913, decode.d3.loss_cls: 0.1954, decode.d3.loss_mask: 0.4449, decode.d3.loss_dice: 0.6766, decode.d4.loss_cls: 0.1904, decode.d4.loss_mask: 0.4438, decode.d4.loss_dice: 0.6764, decode.d5.loss_cls: 0.1889, decode.d5.loss_mask: 0.4440, decode.d5.loss_dice: 0.6786, decode.d6.loss_cls: 0.1860, decode.d6.loss_mask: 0.4418, decode.d6.loss_dice: 0.6694, decode.d7.loss_cls: 0.1807, decode.d7.loss_mask: 0.4420, decode.d7.loss_dice: 0.6722, decode.d8.loss_cls: 0.1816, decode.d8.loss_mask: 0.4416, decode.d8.loss_dice: 0.6747, loss: 14.3785, grad_norm: 67.1230 2023-11-22 17:39:53,271 - mmseg - INFO - Iter [125350/160000] lr: 2.063e-06, eta: 5:38:27, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1797, decode.loss_mask: 0.4385, decode.loss_dice: 0.6659, decode.d0.loss_cls: 1.3118, decode.d0.loss_mask: 0.4671, decode.d0.loss_dice: 0.7315, decode.d1.loss_cls: 0.2657, decode.d1.loss_mask: 0.4479, decode.d1.loss_dice: 0.6959, decode.d2.loss_cls: 0.2263, decode.d2.loss_mask: 0.4404, decode.d2.loss_dice: 0.6790, decode.d3.loss_cls: 0.2102, decode.d3.loss_mask: 0.4391, decode.d3.loss_dice: 0.6682, decode.d4.loss_cls: 0.1957, decode.d4.loss_mask: 0.4390, decode.d4.loss_dice: 0.6689, decode.d5.loss_cls: 0.1941, decode.d5.loss_mask: 0.4397, decode.d5.loss_dice: 0.6658, decode.d6.loss_cls: 0.1846, decode.d6.loss_mask: 0.4391, decode.d6.loss_dice: 0.6647, decode.d7.loss_cls: 0.1839, decode.d7.loss_mask: 0.4389, decode.d7.loss_dice: 0.6660, decode.d8.loss_cls: 0.1846, decode.d8.loss_mask: 0.4380, decode.d8.loss_dice: 0.6616, loss: 14.3316, grad_norm: 63.4164 2023-11-22 17:40:21,764 - mmseg - INFO - Iter [125400/160000] lr: 2.060e-06, eta: 5:37:58, time: 0.570, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1983, decode.loss_mask: 0.4596, decode.loss_dice: 0.6882, decode.d0.loss_cls: 1.3163, decode.d0.loss_mask: 0.4892, decode.d0.loss_dice: 0.7692, decode.d1.loss_cls: 0.2751, decode.d1.loss_mask: 0.4766, decode.d1.loss_dice: 0.7283, decode.d2.loss_cls: 0.2300, decode.d2.loss_mask: 0.4681, decode.d2.loss_dice: 0.7101, decode.d3.loss_cls: 0.2156, decode.d3.loss_mask: 0.4650, decode.d3.loss_dice: 0.7008, decode.d4.loss_cls: 0.2055, decode.d4.loss_mask: 0.4645, decode.d4.loss_dice: 0.6976, decode.d5.loss_cls: 0.2058, decode.d5.loss_mask: 0.4614, decode.d5.loss_dice: 0.6967, decode.d6.loss_cls: 0.2035, decode.d6.loss_mask: 0.4606, decode.d6.loss_dice: 0.6925, decode.d7.loss_cls: 0.2029, decode.d7.loss_mask: 0.4599, decode.d7.loss_dice: 0.6890, decode.d8.loss_cls: 0.2006, decode.d8.loss_mask: 0.4595, decode.d8.loss_dice: 0.6914, loss: 14.9817, grad_norm: 71.4898 2023-11-22 17:40:50,420 - mmseg - INFO - Iter [125450/160000] lr: 2.057e-06, eta: 5:37:28, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1687, decode.loss_mask: 0.4378, decode.loss_dice: 0.6439, decode.d0.loss_cls: 1.2493, decode.d0.loss_mask: 0.4747, decode.d0.loss_dice: 0.7168, decode.d1.loss_cls: 0.2508, decode.d1.loss_mask: 0.4524, decode.d1.loss_dice: 0.6800, decode.d2.loss_cls: 0.2011, decode.d2.loss_mask: 0.4439, decode.d2.loss_dice: 0.6637, decode.d3.loss_cls: 0.1879, decode.d3.loss_mask: 0.4403, decode.d3.loss_dice: 0.6473, decode.d4.loss_cls: 0.1799, decode.d4.loss_mask: 0.4402, decode.d4.loss_dice: 0.6477, decode.d5.loss_cls: 0.1752, decode.d5.loss_mask: 0.4389, decode.d5.loss_dice: 0.6477, decode.d6.loss_cls: 0.1740, decode.d6.loss_mask: 0.4380, decode.d6.loss_dice: 0.6471, decode.d7.loss_cls: 0.1669, decode.d7.loss_mask: 0.4401, decode.d7.loss_dice: 0.6481, decode.d8.loss_cls: 0.1671, decode.d8.loss_mask: 0.4399, decode.d8.loss_dice: 0.6449, loss: 13.9544, grad_norm: 66.0961 2023-11-22 17:41:18,730 - mmseg - INFO - Iter [125500/160000] lr: 2.054e-06, eta: 5:36:59, time: 0.566, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1691, decode.loss_mask: 0.4407, decode.loss_dice: 0.6605, decode.d0.loss_cls: 1.2570, decode.d0.loss_mask: 0.4770, decode.d0.loss_dice: 0.7293, decode.d1.loss_cls: 0.2545, decode.d1.loss_mask: 0.4537, decode.d1.loss_dice: 0.6954, decode.d2.loss_cls: 0.2031, decode.d2.loss_mask: 0.4475, decode.d2.loss_dice: 0.6776, decode.d3.loss_cls: 0.1861, decode.d3.loss_mask: 0.4454, decode.d3.loss_dice: 0.6642, decode.d4.loss_cls: 0.1836, decode.d4.loss_mask: 0.4444, decode.d4.loss_dice: 0.6624, decode.d5.loss_cls: 0.1767, decode.d5.loss_mask: 0.4421, decode.d5.loss_dice: 0.6618, decode.d6.loss_cls: 0.1758, decode.d6.loss_mask: 0.4402, decode.d6.loss_dice: 0.6587, decode.d7.loss_cls: 0.1717, decode.d7.loss_mask: 0.4401, decode.d7.loss_dice: 0.6575, decode.d8.loss_cls: 0.1701, decode.d8.loss_mask: 0.4396, decode.d8.loss_dice: 0.6589, loss: 14.1447, grad_norm: 65.4992 2023-11-22 17:41:47,042 - mmseg - INFO - Iter [125550/160000] lr: 2.051e-06, eta: 5:36:29, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1783, decode.loss_mask: 0.4687, decode.loss_dice: 0.7001, decode.d0.loss_cls: 1.2483, decode.d0.loss_mask: 0.4967, decode.d0.loss_dice: 0.7711, decode.d1.loss_cls: 0.2483, decode.d1.loss_mask: 0.4810, decode.d1.loss_dice: 0.7371, decode.d2.loss_cls: 0.2075, decode.d2.loss_mask: 0.4751, decode.d2.loss_dice: 0.7214, decode.d3.loss_cls: 0.1966, decode.d3.loss_mask: 0.4696, decode.d3.loss_dice: 0.7095, decode.d4.loss_cls: 0.1868, decode.d4.loss_mask: 0.4701, decode.d4.loss_dice: 0.7075, decode.d5.loss_cls: 0.1877, decode.d5.loss_mask: 0.4681, decode.d5.loss_dice: 0.7035, decode.d6.loss_cls: 0.1890, decode.d6.loss_mask: 0.4689, decode.d6.loss_dice: 0.7033, decode.d7.loss_cls: 0.1869, decode.d7.loss_mask: 0.4672, decode.d7.loss_dice: 0.7031, decode.d8.loss_cls: 0.1787, decode.d8.loss_mask: 0.4692, decode.d8.loss_dice: 0.7046, loss: 14.9037, grad_norm: 72.5327 2023-11-22 17:42:15,341 - mmseg - INFO - Iter [125600/160000] lr: 2.048e-06, eta: 5:35:59, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1811, decode.loss_mask: 0.4409, decode.loss_dice: 0.6682, decode.d0.loss_cls: 1.2610, decode.d0.loss_mask: 0.4793, decode.d0.loss_dice: 0.7464, decode.d1.loss_cls: 0.2645, decode.d1.loss_mask: 0.4577, decode.d1.loss_dice: 0.7007, decode.d2.loss_cls: 0.2117, decode.d2.loss_mask: 0.4470, decode.d2.loss_dice: 0.6856, decode.d3.loss_cls: 0.1960, decode.d3.loss_mask: 0.4430, decode.d3.loss_dice: 0.6734, decode.d4.loss_cls: 0.1875, decode.d4.loss_mask: 0.4426, decode.d4.loss_dice: 0.6740, decode.d5.loss_cls: 0.1867, decode.d5.loss_mask: 0.4420, decode.d5.loss_dice: 0.6705, decode.d6.loss_cls: 0.1866, decode.d6.loss_mask: 0.4403, decode.d6.loss_dice: 0.6666, decode.d7.loss_cls: 0.1827, decode.d7.loss_mask: 0.4403, decode.d7.loss_dice: 0.6709, decode.d8.loss_cls: 0.1859, decode.d8.loss_mask: 0.4396, decode.d8.loss_dice: 0.6670, loss: 14.3394, grad_norm: 65.0697 2023-11-22 17:42:43,640 - mmseg - INFO - Iter [125650/160000] lr: 2.045e-06, eta: 5:35:30, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1792, decode.loss_mask: 0.4540, decode.loss_dice: 0.6837, decode.d0.loss_cls: 1.2611, decode.d0.loss_mask: 0.4874, decode.d0.loss_dice: 0.7515, decode.d1.loss_cls: 0.2583, decode.d1.loss_mask: 0.4730, decode.d1.loss_dice: 0.7161, decode.d2.loss_cls: 0.2051, decode.d2.loss_mask: 0.4663, decode.d2.loss_dice: 0.6977, decode.d3.loss_cls: 0.1879, decode.d3.loss_mask: 0.4600, decode.d3.loss_dice: 0.6841, decode.d4.loss_cls: 0.1865, decode.d4.loss_mask: 0.4592, decode.d4.loss_dice: 0.6879, decode.d5.loss_cls: 0.1809, decode.d5.loss_mask: 0.4568, decode.d5.loss_dice: 0.6852, decode.d6.loss_cls: 0.1810, decode.d6.loss_mask: 0.4554, decode.d6.loss_dice: 0.6815, decode.d7.loss_cls: 0.1769, decode.d7.loss_mask: 0.4554, decode.d7.loss_dice: 0.6859, decode.d8.loss_cls: 0.1761, decode.d8.loss_mask: 0.4550, decode.d8.loss_dice: 0.6839, loss: 14.5730, grad_norm: 65.0819 2023-11-22 17:43:12,480 - mmseg - INFO - Iter [125700/160000] lr: 2.042e-06, eta: 5:35:00, time: 0.577, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1683, decode.loss_mask: 0.4456, decode.loss_dice: 0.6679, decode.d0.loss_cls: 1.2777, decode.d0.loss_mask: 0.4748, decode.d0.loss_dice: 0.7358, decode.d1.loss_cls: 0.2399, decode.d1.loss_mask: 0.4672, decode.d1.loss_dice: 0.7043, decode.d2.loss_cls: 0.1941, decode.d2.loss_mask: 0.4543, decode.d2.loss_dice: 0.6886, decode.d3.loss_cls: 0.1805, decode.d3.loss_mask: 0.4485, decode.d3.loss_dice: 0.6751, decode.d4.loss_cls: 0.1720, decode.d4.loss_mask: 0.4460, decode.d4.loss_dice: 0.6724, decode.d5.loss_cls: 0.1680, decode.d5.loss_mask: 0.4479, decode.d5.loss_dice: 0.6694, decode.d6.loss_cls: 0.1626, decode.d6.loss_mask: 0.4473, decode.d6.loss_dice: 0.6688, decode.d7.loss_cls: 0.1623, decode.d7.loss_mask: 0.4455, decode.d7.loss_dice: 0.6717, decode.d8.loss_cls: 0.1638, decode.d8.loss_mask: 0.4465, decode.d8.loss_dice: 0.6681, loss: 14.2352, grad_norm: 65.4150 2023-11-22 17:43:40,835 - mmseg - INFO - Iter [125750/160000] lr: 2.039e-06, eta: 5:34:31, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1677, decode.loss_mask: 0.4560, decode.loss_dice: 0.6823, decode.d0.loss_cls: 1.2441, decode.d0.loss_mask: 0.4901, decode.d0.loss_dice: 0.7467, decode.d1.loss_cls: 0.2433, decode.d1.loss_mask: 0.4747, decode.d1.loss_dice: 0.7106, decode.d2.loss_cls: 0.2015, decode.d2.loss_mask: 0.4647, decode.d2.loss_dice: 0.6941, decode.d3.loss_cls: 0.1887, decode.d3.loss_mask: 0.4604, decode.d3.loss_dice: 0.6868, decode.d4.loss_cls: 0.1782, decode.d4.loss_mask: 0.4591, decode.d4.loss_dice: 0.6881, decode.d5.loss_cls: 0.1755, decode.d5.loss_mask: 0.4593, decode.d5.loss_dice: 0.6853, decode.d6.loss_cls: 0.1745, decode.d6.loss_mask: 0.4583, decode.d6.loss_dice: 0.6802, decode.d7.loss_cls: 0.1708, decode.d7.loss_mask: 0.4570, decode.d7.loss_dice: 0.6799, decode.d8.loss_cls: 0.1716, decode.d8.loss_mask: 0.4557, decode.d8.loss_dice: 0.6812, loss: 14.4866, grad_norm: 66.3117 2023-11-22 17:44:09,219 - mmseg - INFO - Iter [125800/160000] lr: 2.036e-06, eta: 5:34:01, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.2043, decode.loss_mask: 0.4383, decode.loss_dice: 0.6857, decode.d0.loss_cls: 1.3139, decode.d0.loss_mask: 0.4698, decode.d0.loss_dice: 0.7640, decode.d1.loss_cls: 0.2858, decode.d1.loss_mask: 0.4543, decode.d1.loss_dice: 0.7174, decode.d2.loss_cls: 0.2336, decode.d2.loss_mask: 0.4443, decode.d2.loss_dice: 0.7082, decode.d3.loss_cls: 0.2195, decode.d3.loss_mask: 0.4398, decode.d3.loss_dice: 0.6922, decode.d4.loss_cls: 0.2156, decode.d4.loss_mask: 0.4398, decode.d4.loss_dice: 0.6894, decode.d5.loss_cls: 0.2026, decode.d5.loss_mask: 0.4402, decode.d5.loss_dice: 0.6926, decode.d6.loss_cls: 0.2040, decode.d6.loss_mask: 0.4393, decode.d6.loss_dice: 0.6877, decode.d7.loss_cls: 0.2013, decode.d7.loss_mask: 0.4399, decode.d7.loss_dice: 0.6891, decode.d8.loss_cls: 0.2036, decode.d8.loss_mask: 0.4382, decode.d8.loss_dice: 0.6838, loss: 14.7384, grad_norm: 66.7855 2023-11-22 17:44:37,536 - mmseg - INFO - Iter [125850/160000] lr: 2.033e-06, eta: 5:33:32, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1686, decode.loss_mask: 0.4386, decode.loss_dice: 0.6805, decode.d0.loss_cls: 1.2618, decode.d0.loss_mask: 0.4690, decode.d0.loss_dice: 0.7510, decode.d1.loss_cls: 0.2466, decode.d1.loss_mask: 0.4541, decode.d1.loss_dice: 0.7146, decode.d2.loss_cls: 0.2045, decode.d2.loss_mask: 0.4434, decode.d2.loss_dice: 0.6973, decode.d3.loss_cls: 0.1884, decode.d3.loss_mask: 0.4394, decode.d3.loss_dice: 0.6848, decode.d4.loss_cls: 0.1768, decode.d4.loss_mask: 0.4416, decode.d4.loss_dice: 0.6863, decode.d5.loss_cls: 0.1769, decode.d5.loss_mask: 0.4414, decode.d5.loss_dice: 0.6870, decode.d6.loss_cls: 0.1732, decode.d6.loss_mask: 0.4399, decode.d6.loss_dice: 0.6813, decode.d7.loss_cls: 0.1718, decode.d7.loss_mask: 0.4402, decode.d7.loss_dice: 0.6822, decode.d8.loss_cls: 0.1670, decode.d8.loss_mask: 0.4389, decode.d8.loss_dice: 0.6829, loss: 14.3300, grad_norm: 67.2407 2023-11-22 17:45:05,768 - mmseg - INFO - Iter [125900/160000] lr: 2.030e-06, eta: 5:33:02, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1871, decode.loss_mask: 0.4331, decode.loss_dice: 0.6562, decode.d0.loss_cls: 1.2736, decode.d0.loss_mask: 0.4627, decode.d0.loss_dice: 0.7307, decode.d1.loss_cls: 0.2661, decode.d1.loss_mask: 0.4476, decode.d1.loss_dice: 0.6877, decode.d2.loss_cls: 0.2163, decode.d2.loss_mask: 0.4375, decode.d2.loss_dice: 0.6776, decode.d3.loss_cls: 0.2026, decode.d3.loss_mask: 0.4362, decode.d3.loss_dice: 0.6664, decode.d4.loss_cls: 0.1903, decode.d4.loss_mask: 0.4360, decode.d4.loss_dice: 0.6653, decode.d5.loss_cls: 0.1876, decode.d5.loss_mask: 0.4333, decode.d5.loss_dice: 0.6643, decode.d6.loss_cls: 0.1886, decode.d6.loss_mask: 0.4324, decode.d6.loss_dice: 0.6573, decode.d7.loss_cls: 0.1851, decode.d7.loss_mask: 0.4333, decode.d7.loss_dice: 0.6596, decode.d8.loss_cls: 0.1855, decode.d8.loss_mask: 0.4311, decode.d8.loss_dice: 0.6599, loss: 14.1911, grad_norm: 59.7195 2023-11-22 17:45:34,085 - mmseg - INFO - Iter [125950/160000] lr: 2.027e-06, eta: 5:32:33, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1809, decode.loss_mask: 0.4627, decode.loss_dice: 0.6944, decode.d0.loss_cls: 1.2684, decode.d0.loss_mask: 0.5004, decode.d0.loss_dice: 0.7651, decode.d1.loss_cls: 0.2553, decode.d1.loss_mask: 0.4851, decode.d1.loss_dice: 0.7371, decode.d2.loss_cls: 0.2130, decode.d2.loss_mask: 0.4735, decode.d2.loss_dice: 0.7163, decode.d3.loss_cls: 0.1991, decode.d3.loss_mask: 0.4687, decode.d3.loss_dice: 0.6995, decode.d4.loss_cls: 0.1951, decode.d4.loss_mask: 0.4667, decode.d4.loss_dice: 0.6960, decode.d5.loss_cls: 0.1902, decode.d5.loss_mask: 0.4672, decode.d5.loss_dice: 0.6978, decode.d6.loss_cls: 0.1917, decode.d6.loss_mask: 0.4628, decode.d6.loss_dice: 0.6910, decode.d7.loss_cls: 0.1863, decode.d7.loss_mask: 0.4642, decode.d7.loss_dice: 0.6937, decode.d8.loss_cls: 0.1813, decode.d8.loss_mask: 0.4618, decode.d8.loss_dice: 0.6964, loss: 14.8616, grad_norm: 70.1524 2023-11-22 17:46:02,542 - mmseg - INFO - Saving checkpoint at 126000 iterations 2023-11-22 17:46:10,658 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 17:46:10,659 - mmseg - INFO - Iter [126000/160000] lr: 2.024e-06, eta: 5:32:05, time: 0.732, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1837, decode.loss_mask: 0.4471, decode.loss_dice: 0.6803, decode.d0.loss_cls: 1.3078, decode.d0.loss_mask: 0.4807, decode.d0.loss_dice: 0.7434, decode.d1.loss_cls: 0.2576, decode.d1.loss_mask: 0.4629, decode.d1.loss_dice: 0.7119, decode.d2.loss_cls: 0.2134, decode.d2.loss_mask: 0.4512, decode.d2.loss_dice: 0.6921, decode.d3.loss_cls: 0.1979, decode.d3.loss_mask: 0.4482, decode.d3.loss_dice: 0.6830, decode.d4.loss_cls: 0.2006, decode.d4.loss_mask: 0.4475, decode.d4.loss_dice: 0.6797, decode.d5.loss_cls: 0.1893, decode.d5.loss_mask: 0.4477, decode.d5.loss_dice: 0.6797, decode.d6.loss_cls: 0.1895, decode.d6.loss_mask: 0.4476, decode.d6.loss_dice: 0.6740, decode.d7.loss_cls: 0.1837, decode.d7.loss_mask: 0.4483, decode.d7.loss_dice: 0.6738, decode.d8.loss_cls: 0.1857, decode.d8.loss_mask: 0.4456, decode.d8.loss_dice: 0.6753, loss: 14.5295, grad_norm: 67.3526 2023-11-22 17:46:30,493 - mmseg - INFO - per class results: 2023-11-22 17:46:30,499 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.49 | 89.12 | | building | 84.05 | 91.29 | | sky | 95.05 | 97.48 | | floor | 84.31 | 90.95 | | tree | 76.39 | 89.26 | | ceiling | 86.15 | 92.93 | | road | 87.64 | 91.57 | | bed | 92.31 | 96.21 | | windowpane | 65.78 | 80.65 | | grass | 68.87 | 81.13 | | cabinet | 64.23 | 74.37 | | sidewalk | 70.98 | 84.16 | | person | 86.35 | 94.13 | | earth | 40.56 | 55.94 | | door | 55.27 | 70.69 | | table | 70.27 | 84.63 | | mountain | 57.87 | 74.01 | | plant | 54.36 | 66.25 | | curtain | 75.71 | 87.12 | | chair | 66.26 | 80.0 | | car | 87.56 | 94.69 | | water | 53.95 | 66.36 | | painting | 77.81 | 89.9 | | sofa | 75.15 | 89.88 | | shelf | 43.0 | 53.71 | | house | 43.88 | 71.8 | | sea | 61.06 | 90.72 | | mirror | 76.42 | 82.62 | | rug | 67.02 | 80.35 | | field | 36.73 | 59.62 | | armchair | 51.46 | 67.93 | | seat | 64.75 | 81.4 | | fence | 54.98 | 69.88 | | desk | 55.94 | 81.32 | | rock | 50.58 | 69.32 | | wardrobe | 46.43 | 67.34 | | lamp | 72.81 | 82.31 | | bathtub | 78.72 | 85.85 | | railing | 37.74 | 54.04 | | cushion | 67.62 | 75.84 | | base | 38.95 | 69.89 | | box | 34.47 | 44.76 | | column | 52.39 | 67.84 | | signboard | 42.06 | 60.05 | | chest of drawers | 39.16 | 64.26 | | counter | 39.25 | 45.4 | | sand | 36.28 | 52.3 | | sink | 81.1 | 87.06 | | skyscraper | 61.47 | 76.98 | | fireplace | 71.78 | 91.09 | | refrigerator | 83.94 | 91.71 | | grandstand | 48.54 | 81.42 | | path | 20.15 | 37.51 | | stairs | 45.75 | 54.3 | | runway | 71.1 | 91.4 | | case | 58.63 | 74.78 | | pool table | 94.52 | 97.74 | | pillow | 67.24 | 81.66 | | screen door | 81.64 | 86.96 | | stairway | 37.56 | 52.56 | | river | 12.58 | 20.71 | | bridge | 81.05 | 92.12 | | bookcase | 33.2 | 68.24 | | blind | 43.4 | 51.78 | | coffee table | 71.83 | 85.21 | | toilet | 91.16 | 93.84 | | flower | 47.28 | 68.63 | | book | 52.75 | 76.64 | | hill | 8.33 | 16.13 | | bench | 64.06 | 75.59 | | countertop | 65.54 | 79.6 | | stove | 87.94 | 91.59 | | palm | 55.1 | 81.8 | | kitchen island | 54.22 | 79.03 | | computer | 73.92 | 83.03 | | swivel chair | 52.86 | 74.63 | | boat | 38.94 | 57.53 | | bar | 55.82 | 63.3 | | arcade machine | 85.84 | 91.53 | | hovel | 45.92 | 48.6 | | bus | 84.98 | 96.58 | | towel | 76.82 | 89.67 | | light | 65.96 | 78.96 | | truck | 24.84 | 29.31 | | tower | 30.43 | 50.76 | | chandelier | 71.03 | 89.14 | | awning | 39.0 | 53.11 | | streetlight | 46.8 | 65.28 | | booth | 52.59 | 68.56 | | television receiver | 79.61 | 89.54 | | airplane | 65.05 | 79.1 | | dirt track | 7.79 | 17.8 | | apparel | 46.95 | 68.22 | | pole | 35.29 | 58.79 | | land | 4.29 | 6.99 | | bannister | 21.3 | 37.09 | | escalator | 45.48 | 59.7 | | ottoman | 52.39 | 73.82 | | bottle | 42.04 | 70.36 | | buffet | 49.55 | 66.14 | | poster | 28.55 | 43.56 | | stage | 21.88 | 40.85 | | van | 43.71 | 61.62 | | ship | 9.07 | 14.85 | | fountain | 21.5 | 21.9 | | conveyer belt | 67.99 | 92.04 | | canopy | 22.26 | 39.85 | | washer | 71.14 | 73.18 | | plaything | 40.38 | 56.97 | | swimming pool | 65.82 | 71.23 | | stool | 51.31 | 68.78 | | barrel | 91.44 | 97.88 | | basket | 44.27 | 58.7 | | waterfall | 65.89 | 88.32 | | tent | 89.59 | 98.2 | | bag | 22.92 | 31.74 | | minibike | 71.51 | 90.47 | | cradle | 86.93 | 97.65 | | oven | 24.74 | 70.84 | | ball | 54.39 | 66.17 | | food | 59.93 | 69.74 | | step | 28.95 | 33.29 | | tank | 62.44 | 66.05 | | trade name | 38.06 | 47.68 | | microwave | 42.79 | 46.89 | | pot | 49.06 | 59.54 | | animal | 59.54 | 61.03 | | bicycle | 60.88 | 81.64 | | lake | 58.46 | 63.67 | | dishwasher | 81.84 | 88.44 | | screen | 58.34 | 92.06 | | blanket | 29.98 | 41.04 | | sculpture | 73.07 | 89.25 | | hood | 74.5 | 90.51 | | sconce | 59.25 | 78.21 | | vase | 53.13 | 73.71 | | traffic light | 47.71 | 73.06 | | tray | 20.76 | 30.61 | | ashcan | 51.78 | 76.39 | | fan | 69.29 | 86.01 | | pier | 52.57 | 55.42 | | crt screen | 1.17 | 3.36 | | plate | 62.25 | 81.48 | | monitor | 13.3 | 18.51 | | bulletin board | 60.58 | 80.34 | | shower | 13.34 | 21.58 | | radiator | 73.69 | 87.08 | | glass | 24.47 | 27.31 | | clock | 54.98 | 68.59 | | flag | 73.92 | 84.82 | +---------------------+-------+-------+ 2023-11-22 17:46:30,499 - mmseg - INFO - Summary: 2023-11-22 17:46:30,499 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.21 | 55.62 | 69.38 | +-------+-------+-------+ 2023-11-22 17:46:30,500 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 17:46:30,500 - mmseg - INFO - Iter(val) [250] aAcc: 0.8521, mIoU: 0.5562, mAcc: 0.6938, IoU.wall: 0.8149, IoU.building: 0.8405, IoU.sky: 0.9505, IoU.floor: 0.8431, IoU.tree: 0.7639, IoU.ceiling: 0.8615, IoU.road: 0.8764, IoU.bed : 0.9231, IoU.windowpane: 0.6578, IoU.grass: 0.6887, IoU.cabinet: 0.6423, IoU.sidewalk: 0.7098, IoU.person: 0.8635, IoU.earth: 0.4056, IoU.door: 0.5527, IoU.table: 0.7027, IoU.mountain: 0.5787, IoU.plant: 0.5436, IoU.curtain: 0.7571, IoU.chair: 0.6626, IoU.car: 0.8756, IoU.water: 0.5395, IoU.painting: 0.7781, IoU.sofa: 0.7515, IoU.shelf: 0.4300, IoU.house: 0.4388, IoU.sea: 0.6106, IoU.mirror: 0.7642, IoU.rug: 0.6702, IoU.field: 0.3673, IoU.armchair: 0.5146, IoU.seat: 0.6475, IoU.fence: 0.5498, IoU.desk: 0.5594, IoU.rock: 0.5058, IoU.wardrobe: 0.4643, IoU.lamp: 0.7281, IoU.bathtub: 0.7872, IoU.railing: 0.3774, IoU.cushion: 0.6762, IoU.base: 0.3895, IoU.box: 0.3447, IoU.column: 0.5239, IoU.signboard: 0.4206, IoU.chest of drawers: 0.3916, IoU.counter: 0.3925, IoU.sand: 0.3628, IoU.sink: 0.8110, IoU.skyscraper: 0.6147, IoU.fireplace: 0.7178, IoU.refrigerator: 0.8394, IoU.grandstand: 0.4854, IoU.path: 0.2015, IoU.stairs: 0.4575, IoU.runway: 0.7110, IoU.case: 0.5863, IoU.pool table: 0.9452, IoU.pillow: 0.6724, IoU.screen door: 0.8164, IoU.stairway: 0.3756, IoU.river: 0.1258, IoU.bridge: 0.8105, IoU.bookcase: 0.3320, IoU.blind: 0.4340, IoU.coffee table: 0.7183, IoU.toilet: 0.9116, IoU.flower: 0.4728, IoU.book: 0.5275, IoU.hill: 0.0833, IoU.bench: 0.6406, IoU.countertop: 0.6554, IoU.stove: 0.8794, IoU.palm: 0.5510, IoU.kitchen island: 0.5422, IoU.computer: 0.7392, IoU.swivel chair: 0.5286, IoU.boat: 0.3894, IoU.bar: 0.5582, IoU.arcade machine: 0.8584, IoU.hovel: 0.4592, IoU.bus: 0.8498, IoU.towel: 0.7682, IoU.light: 0.6596, IoU.truck: 0.2484, IoU.tower: 0.3043, IoU.chandelier: 0.7103, IoU.awning: 0.3900, IoU.streetlight: 0.4680, IoU.booth: 0.5259, IoU.television receiver: 0.7961, IoU.airplane: 0.6505, IoU.dirt track: 0.0779, IoU.apparel: 0.4695, IoU.pole: 0.3529, IoU.land: 0.0429, IoU.bannister: 0.2130, IoU.escalator: 0.4548, IoU.ottoman: 0.5239, IoU.bottle: 0.4204, IoU.buffet: 0.4955, IoU.poster: 0.2855, IoU.stage: 0.2188, IoU.van: 0.4371, IoU.ship: 0.0907, IoU.fountain: 0.2150, IoU.conveyer belt: 0.6799, IoU.canopy: 0.2226, IoU.washer: 0.7114, IoU.plaything: 0.4038, IoU.swimming pool: 0.6582, IoU.stool: 0.5131, IoU.barrel: 0.9144, IoU.basket: 0.4427, IoU.waterfall: 0.6589, IoU.tent: 0.8959, IoU.bag: 0.2292, IoU.minibike: 0.7151, IoU.cradle: 0.8693, IoU.oven: 0.2474, IoU.ball: 0.5439, IoU.food: 0.5993, IoU.step: 0.2895, IoU.tank: 0.6244, IoU.trade name: 0.3806, IoU.microwave: 0.4279, IoU.pot: 0.4906, IoU.animal: 0.5954, IoU.bicycle: 0.6088, IoU.lake: 0.5846, IoU.dishwasher: 0.8184, IoU.screen: 0.5834, IoU.blanket: 0.2998, IoU.sculpture: 0.7307, IoU.hood: 0.7450, IoU.sconce: 0.5925, IoU.vase: 0.5313, IoU.traffic light: 0.4771, IoU.tray: 0.2076, IoU.ashcan: 0.5178, IoU.fan: 0.6929, IoU.pier: 0.5257, IoU.crt screen: 0.0117, IoU.plate: 0.6225, IoU.monitor: 0.1330, IoU.bulletin board: 0.6058, IoU.shower: 0.1334, IoU.radiator: 0.7369, IoU.glass: 0.2447, IoU.clock: 0.5498, IoU.flag: 0.7392, Acc.wall: 0.8912, Acc.building: 0.9129, Acc.sky: 0.9748, Acc.floor: 0.9095, Acc.tree: 0.8926, Acc.ceiling: 0.9293, Acc.road: 0.9157, Acc.bed : 0.9621, Acc.windowpane: 0.8065, Acc.grass: 0.8113, Acc.cabinet: 0.7437, Acc.sidewalk: 0.8416, Acc.person: 0.9413, Acc.earth: 0.5594, Acc.door: 0.7069, Acc.table: 0.8463, Acc.mountain: 0.7401, Acc.plant: 0.6625, Acc.curtain: 0.8712, Acc.chair: 0.8000, Acc.car: 0.9469, Acc.water: 0.6636, Acc.painting: 0.8990, Acc.sofa: 0.8988, Acc.shelf: 0.5371, Acc.house: 0.7180, Acc.sea: 0.9072, Acc.mirror: 0.8262, Acc.rug: 0.8035, Acc.field: 0.5962, Acc.armchair: 0.6793, Acc.seat: 0.8140, Acc.fence: 0.6988, Acc.desk: 0.8132, Acc.rock: 0.6932, Acc.wardrobe: 0.6734, Acc.lamp: 0.8231, Acc.bathtub: 0.8585, Acc.railing: 0.5404, Acc.cushion: 0.7584, Acc.base: 0.6989, Acc.box: 0.4476, Acc.column: 0.6784, Acc.signboard: 0.6005, Acc.chest of drawers: 0.6426, Acc.counter: 0.4540, Acc.sand: 0.5230, Acc.sink: 0.8706, Acc.skyscraper: 0.7698, Acc.fireplace: 0.9109, Acc.refrigerator: 0.9171, Acc.grandstand: 0.8142, Acc.path: 0.3751, Acc.stairs: 0.5430, Acc.runway: 0.9140, Acc.case: 0.7478, Acc.pool table: 0.9774, Acc.pillow: 0.8166, Acc.screen door: 0.8696, Acc.stairway: 0.5256, Acc.river: 0.2071, Acc.bridge: 0.9212, Acc.bookcase: 0.6824, Acc.blind: 0.5178, Acc.coffee table: 0.8521, Acc.toilet: 0.9384, Acc.flower: 0.6863, Acc.book: 0.7664, Acc.hill: 0.1613, Acc.bench: 0.7559, Acc.countertop: 0.7960, Acc.stove: 0.9159, Acc.palm: 0.8180, Acc.kitchen island: 0.7903, Acc.computer: 0.8303, Acc.swivel chair: 0.7463, Acc.boat: 0.5753, Acc.bar: 0.6330, Acc.arcade machine: 0.9153, Acc.hovel: 0.4860, Acc.bus: 0.9658, Acc.towel: 0.8967, Acc.light: 0.7896, Acc.truck: 0.2931, Acc.tower: 0.5076, Acc.chandelier: 0.8914, Acc.awning: 0.5311, Acc.streetlight: 0.6528, Acc.booth: 0.6856, Acc.television receiver: 0.8954, Acc.airplane: 0.7910, Acc.dirt track: 0.1780, Acc.apparel: 0.6822, Acc.pole: 0.5879, Acc.land: 0.0699, Acc.bannister: 0.3709, Acc.escalator: 0.5970, Acc.ottoman: 0.7382, Acc.bottle: 0.7036, Acc.buffet: 0.6614, Acc.poster: 0.4356, Acc.stage: 0.4085, Acc.van: 0.6162, Acc.ship: 0.1485, Acc.fountain: 0.2190, Acc.conveyer belt: 0.9204, Acc.canopy: 0.3985, Acc.washer: 0.7318, Acc.plaything: 0.5697, Acc.swimming pool: 0.7123, Acc.stool: 0.6878, Acc.barrel: 0.9788, Acc.basket: 0.5870, Acc.waterfall: 0.8832, Acc.tent: 0.9820, Acc.bag: 0.3174, Acc.minibike: 0.9047, Acc.cradle: 0.9765, Acc.oven: 0.7084, Acc.ball: 0.6617, Acc.food: 0.6974, Acc.step: 0.3329, Acc.tank: 0.6605, Acc.trade name: 0.4768, Acc.microwave: 0.4689, Acc.pot: 0.5954, Acc.animal: 0.6103, Acc.bicycle: 0.8164, Acc.lake: 0.6367, Acc.dishwasher: 0.8844, Acc.screen: 0.9206, Acc.blanket: 0.4104, Acc.sculpture: 0.8925, Acc.hood: 0.9051, Acc.sconce: 0.7821, Acc.vase: 0.7371, Acc.traffic light: 0.7306, Acc.tray: 0.3061, Acc.ashcan: 0.7639, Acc.fan: 0.8601, Acc.pier: 0.5542, Acc.crt screen: 0.0336, Acc.plate: 0.8148, Acc.monitor: 0.1851, Acc.bulletin board: 0.8034, Acc.shower: 0.2158, Acc.radiator: 0.8708, Acc.glass: 0.2731, Acc.clock: 0.6859, Acc.flag: 0.8482 2023-11-22 17:46:58,991 - mmseg - INFO - Iter [126050/160000] lr: 2.021e-06, eta: 5:31:41, time: 0.967, data_time: 0.410, memory: 38143, decode.loss_cls: 0.1752, decode.loss_mask: 0.4414, decode.loss_dice: 0.6815, decode.d0.loss_cls: 1.2817, decode.d0.loss_mask: 0.4761, decode.d0.loss_dice: 0.7573, decode.d1.loss_cls: 0.2627, decode.d1.loss_mask: 0.4569, decode.d1.loss_dice: 0.7147, decode.d2.loss_cls: 0.2114, decode.d2.loss_mask: 0.4472, decode.d2.loss_dice: 0.6997, decode.d3.loss_cls: 0.1971, decode.d3.loss_mask: 0.4437, decode.d3.loss_dice: 0.6863, decode.d4.loss_cls: 0.1923, decode.d4.loss_mask: 0.4424, decode.d4.loss_dice: 0.6836, decode.d5.loss_cls: 0.1853, decode.d5.loss_mask: 0.4416, decode.d5.loss_dice: 0.6853, decode.d6.loss_cls: 0.1817, decode.d6.loss_mask: 0.4429, decode.d6.loss_dice: 0.6826, decode.d7.loss_cls: 0.1802, decode.d7.loss_mask: 0.4414, decode.d7.loss_dice: 0.6825, decode.d8.loss_cls: 0.1732, decode.d8.loss_mask: 0.4425, decode.d8.loss_dice: 0.6835, loss: 14.4739, grad_norm: 66.5195 2023-11-22 17:47:27,297 - mmseg - INFO - Iter [126100/160000] lr: 2.018e-06, eta: 5:31:12, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1912, decode.loss_mask: 0.4471, decode.loss_dice: 0.6803, decode.d0.loss_cls: 1.2889, decode.d0.loss_mask: 0.4810, decode.d0.loss_dice: 0.7608, decode.d1.loss_cls: 0.2707, decode.d1.loss_mask: 0.4612, decode.d1.loss_dice: 0.7175, decode.d2.loss_cls: 0.2249, decode.d2.loss_mask: 0.4532, decode.d2.loss_dice: 0.6987, decode.d3.loss_cls: 0.2097, decode.d3.loss_mask: 0.4482, decode.d3.loss_dice: 0.6860, decode.d4.loss_cls: 0.2043, decode.d4.loss_mask: 0.4472, decode.d4.loss_dice: 0.6853, decode.d5.loss_cls: 0.2020, decode.d5.loss_mask: 0.4486, decode.d5.loss_dice: 0.6832, decode.d6.loss_cls: 0.2009, decode.d6.loss_mask: 0.4455, decode.d6.loss_dice: 0.6805, decode.d7.loss_cls: 0.1931, decode.d7.loss_mask: 0.4474, decode.d7.loss_dice: 0.6814, decode.d8.loss_cls: 0.1898, decode.d8.loss_mask: 0.4472, decode.d8.loss_dice: 0.6833, loss: 14.6593, grad_norm: 61.9466 2023-11-22 17:47:55,499 - mmseg - INFO - Iter [126150/160000] lr: 2.015e-06, eta: 5:30:42, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1951, decode.loss_mask: 0.4573, decode.loss_dice: 0.6833, decode.d0.loss_cls: 1.2837, decode.d0.loss_mask: 0.4868, decode.d0.loss_dice: 0.7477, decode.d1.loss_cls: 0.2692, decode.d1.loss_mask: 0.4676, decode.d1.loss_dice: 0.7105, decode.d2.loss_cls: 0.2253, decode.d2.loss_mask: 0.4654, decode.d2.loss_dice: 0.6957, decode.d3.loss_cls: 0.2084, decode.d3.loss_mask: 0.4607, decode.d3.loss_dice: 0.6902, decode.d4.loss_cls: 0.2034, decode.d4.loss_mask: 0.4606, decode.d4.loss_dice: 0.6873, decode.d5.loss_cls: 0.1986, decode.d5.loss_mask: 0.4583, decode.d5.loss_dice: 0.6869, decode.d6.loss_cls: 0.1985, decode.d6.loss_mask: 0.4573, decode.d6.loss_dice: 0.6837, decode.d7.loss_cls: 0.1964, decode.d7.loss_mask: 0.4570, decode.d7.loss_dice: 0.6829, decode.d8.loss_cls: 0.1943, decode.d8.loss_mask: 0.4560, decode.d8.loss_dice: 0.6819, loss: 14.7499, grad_norm: 69.5039 2023-11-22 17:48:23,731 - mmseg - INFO - Iter [126200/160000] lr: 2.012e-06, eta: 5:30:12, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1773, decode.loss_mask: 0.4594, decode.loss_dice: 0.6993, decode.d0.loss_cls: 1.2534, decode.d0.loss_mask: 0.4943, decode.d0.loss_dice: 0.7753, decode.d1.loss_cls: 0.2607, decode.d1.loss_mask: 0.4755, decode.d1.loss_dice: 0.7359, decode.d2.loss_cls: 0.2183, decode.d2.loss_mask: 0.4675, decode.d2.loss_dice: 0.7167, decode.d3.loss_cls: 0.1998, decode.d3.loss_mask: 0.4642, decode.d3.loss_dice: 0.7088, decode.d4.loss_cls: 0.1937, decode.d4.loss_mask: 0.4627, decode.d4.loss_dice: 0.7036, decode.d5.loss_cls: 0.1868, decode.d5.loss_mask: 0.4619, decode.d5.loss_dice: 0.7003, decode.d6.loss_cls: 0.1870, decode.d6.loss_mask: 0.4615, decode.d6.loss_dice: 0.7019, decode.d7.loss_cls: 0.1848, decode.d7.loss_mask: 0.4605, decode.d7.loss_dice: 0.7005, decode.d8.loss_cls: 0.1863, decode.d8.loss_mask: 0.4591, decode.d8.loss_dice: 0.7007, loss: 14.8575, grad_norm: 74.7366 2023-11-22 17:48:52,172 - mmseg - INFO - Iter [126250/160000] lr: 2.009e-06, eta: 5:29:43, time: 0.569, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1896, decode.loss_mask: 0.4514, decode.loss_dice: 0.6777, decode.d0.loss_cls: 1.2705, decode.d0.loss_mask: 0.4849, decode.d0.loss_dice: 0.7592, decode.d1.loss_cls: 0.2730, decode.d1.loss_mask: 0.4687, decode.d1.loss_dice: 0.7167, decode.d2.loss_cls: 0.2205, decode.d2.loss_mask: 0.4600, decode.d2.loss_dice: 0.6983, decode.d3.loss_cls: 0.1988, decode.d3.loss_mask: 0.4552, decode.d3.loss_dice: 0.6901, decode.d4.loss_cls: 0.1937, decode.d4.loss_mask: 0.4563, decode.d4.loss_dice: 0.6877, decode.d5.loss_cls: 0.1942, decode.d5.loss_mask: 0.4550, decode.d5.loss_dice: 0.6885, decode.d6.loss_cls: 0.1924, decode.d6.loss_mask: 0.4530, decode.d6.loss_dice: 0.6810, decode.d7.loss_cls: 0.1881, decode.d7.loss_mask: 0.4528, decode.d7.loss_dice: 0.6850, decode.d8.loss_cls: 0.1877, decode.d8.loss_mask: 0.4517, decode.d8.loss_dice: 0.6837, loss: 14.6656, grad_norm: 70.4530 2023-11-22 17:49:20,789 - mmseg - INFO - Iter [126300/160000] lr: 2.006e-06, eta: 5:29:13, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1777, decode.loss_mask: 0.4609, decode.loss_dice: 0.6850, decode.d0.loss_cls: 1.2463, decode.d0.loss_mask: 0.4969, decode.d0.loss_dice: 0.7536, decode.d1.loss_cls: 0.2550, decode.d1.loss_mask: 0.4776, decode.d1.loss_dice: 0.7194, decode.d2.loss_cls: 0.2076, decode.d2.loss_mask: 0.4696, decode.d2.loss_dice: 0.7015, decode.d3.loss_cls: 0.1968, decode.d3.loss_mask: 0.4628, decode.d3.loss_dice: 0.6909, decode.d4.loss_cls: 0.1920, decode.d4.loss_mask: 0.4646, decode.d4.loss_dice: 0.6864, decode.d5.loss_cls: 0.1882, decode.d5.loss_mask: 0.4633, decode.d5.loss_dice: 0.6880, decode.d6.loss_cls: 0.1883, decode.d6.loss_mask: 0.4626, decode.d6.loss_dice: 0.6867, decode.d7.loss_cls: 0.1780, decode.d7.loss_mask: 0.4628, decode.d7.loss_dice: 0.6892, decode.d8.loss_cls: 0.1810, decode.d8.loss_mask: 0.4609, decode.d8.loss_dice: 0.6845, loss: 14.6779, grad_norm: 70.6417 2023-11-22 17:49:51,592 - mmseg - INFO - Iter [126350/160000] lr: 2.003e-06, eta: 5:28:44, time: 0.616, data_time: 0.058, memory: 38143, decode.loss_cls: 0.1771, decode.loss_mask: 0.4477, decode.loss_dice: 0.6798, decode.d0.loss_cls: 1.2984, decode.d0.loss_mask: 0.4785, decode.d0.loss_dice: 0.7507, decode.d1.loss_cls: 0.2529, decode.d1.loss_mask: 0.4653, decode.d1.loss_dice: 0.7118, decode.d2.loss_cls: 0.2196, decode.d2.loss_mask: 0.4559, decode.d2.loss_dice: 0.6941, decode.d3.loss_cls: 0.2017, decode.d3.loss_mask: 0.4498, decode.d3.loss_dice: 0.6806, decode.d4.loss_cls: 0.1953, decode.d4.loss_mask: 0.4501, decode.d4.loss_dice: 0.6808, decode.d5.loss_cls: 0.1929, decode.d5.loss_mask: 0.4492, decode.d5.loss_dice: 0.6760, decode.d6.loss_cls: 0.1895, decode.d6.loss_mask: 0.4489, decode.d6.loss_dice: 0.6758, decode.d7.loss_cls: 0.1875, decode.d7.loss_mask: 0.4481, decode.d7.loss_dice: 0.6780, decode.d8.loss_cls: 0.1834, decode.d8.loss_mask: 0.4486, decode.d8.loss_dice: 0.6746, loss: 14.5429, grad_norm: 66.2391 2023-11-22 17:50:19,896 - mmseg - INFO - Iter [126400/160000] lr: 2.000e-06, eta: 5:28:15, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1819, decode.loss_mask: 0.4263, decode.loss_dice: 0.6699, decode.d0.loss_cls: 1.2810, decode.d0.loss_mask: 0.4582, decode.d0.loss_dice: 0.7406, decode.d1.loss_cls: 0.2683, decode.d1.loss_mask: 0.4416, decode.d1.loss_dice: 0.6987, decode.d2.loss_cls: 0.2170, decode.d2.loss_mask: 0.4339, decode.d2.loss_dice: 0.6864, decode.d3.loss_cls: 0.1999, decode.d3.loss_mask: 0.4303, decode.d3.loss_dice: 0.6747, decode.d4.loss_cls: 0.1937, decode.d4.loss_mask: 0.4280, decode.d4.loss_dice: 0.6722, decode.d5.loss_cls: 0.1897, decode.d5.loss_mask: 0.4276, decode.d5.loss_dice: 0.6724, decode.d6.loss_cls: 0.1877, decode.d6.loss_mask: 0.4270, decode.d6.loss_dice: 0.6705, decode.d7.loss_cls: 0.1849, decode.d7.loss_mask: 0.4259, decode.d7.loss_dice: 0.6713, decode.d8.loss_cls: 0.1840, decode.d8.loss_mask: 0.4266, decode.d8.loss_dice: 0.6712, loss: 14.2412, grad_norm: 65.0698 2023-11-22 17:50:48,151 - mmseg - INFO - Iter [126450/160000] lr: 1.997e-06, eta: 5:27:45, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1821, decode.loss_mask: 0.4408, decode.loss_dice: 0.6849, decode.d0.loss_cls: 1.2948, decode.d0.loss_mask: 0.4732, decode.d0.loss_dice: 0.7581, decode.d1.loss_cls: 0.2557, decode.d1.loss_mask: 0.4583, decode.d1.loss_dice: 0.7172, decode.d2.loss_cls: 0.2178, decode.d2.loss_mask: 0.4464, decode.d2.loss_dice: 0.7032, decode.d3.loss_cls: 0.1984, decode.d3.loss_mask: 0.4426, decode.d3.loss_dice: 0.6935, decode.d4.loss_cls: 0.1863, decode.d4.loss_mask: 0.4421, decode.d4.loss_dice: 0.6875, decode.d5.loss_cls: 0.1828, decode.d5.loss_mask: 0.4430, decode.d5.loss_dice: 0.6883, decode.d6.loss_cls: 0.1842, decode.d6.loss_mask: 0.4421, decode.d6.loss_dice: 0.6828, decode.d7.loss_cls: 0.1815, decode.d7.loss_mask: 0.4409, decode.d7.loss_dice: 0.6860, decode.d8.loss_cls: 0.1784, decode.d8.loss_mask: 0.4421, decode.d8.loss_dice: 0.6907, loss: 14.5256, grad_norm: 68.2627 2023-11-22 17:51:16,545 - mmseg - INFO - Iter [126500/160000] lr: 1.994e-06, eta: 5:27:16, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1820, decode.loss_mask: 0.4509, decode.loss_dice: 0.6954, decode.d0.loss_cls: 1.2923, decode.d0.loss_mask: 0.4816, decode.d0.loss_dice: 0.7679, decode.d1.loss_cls: 0.2573, decode.d1.loss_mask: 0.4616, decode.d1.loss_dice: 0.7257, decode.d2.loss_cls: 0.2201, decode.d2.loss_mask: 0.4548, decode.d2.loss_dice: 0.7041, decode.d3.loss_cls: 0.1986, decode.d3.loss_mask: 0.4533, decode.d3.loss_dice: 0.6986, decode.d4.loss_cls: 0.1911, decode.d4.loss_mask: 0.4525, decode.d4.loss_dice: 0.6990, decode.d5.loss_cls: 0.1887, decode.d5.loss_mask: 0.4526, decode.d5.loss_dice: 0.6979, decode.d6.loss_cls: 0.1879, decode.d6.loss_mask: 0.4508, decode.d6.loss_dice: 0.6944, decode.d7.loss_cls: 0.1842, decode.d7.loss_mask: 0.4510, decode.d7.loss_dice: 0.6974, decode.d8.loss_cls: 0.1817, decode.d8.loss_mask: 0.4518, decode.d8.loss_dice: 0.6932, loss: 14.7186, grad_norm: 66.7800 2023-11-22 17:51:44,957 - mmseg - INFO - Iter [126550/160000] lr: 1.991e-06, eta: 5:26:46, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1908, decode.loss_mask: 0.4540, decode.loss_dice: 0.6862, decode.d0.loss_cls: 1.2703, decode.d0.loss_mask: 0.4893, decode.d0.loss_dice: 0.7551, decode.d1.loss_cls: 0.2693, decode.d1.loss_mask: 0.4739, decode.d1.loss_dice: 0.7227, decode.d2.loss_cls: 0.2290, decode.d2.loss_mask: 0.4633, decode.d2.loss_dice: 0.7045, decode.d3.loss_cls: 0.2100, decode.d3.loss_mask: 0.4601, decode.d3.loss_dice: 0.6917, decode.d4.loss_cls: 0.2043, decode.d4.loss_mask: 0.4588, decode.d4.loss_dice: 0.6909, decode.d5.loss_cls: 0.2033, decode.d5.loss_mask: 0.4565, decode.d5.loss_dice: 0.6885, decode.d6.loss_cls: 0.1969, decode.d6.loss_mask: 0.4550, decode.d6.loss_dice: 0.6850, decode.d7.loss_cls: 0.1953, decode.d7.loss_mask: 0.4540, decode.d7.loss_dice: 0.6858, decode.d8.loss_cls: 0.1934, decode.d8.loss_mask: 0.4548, decode.d8.loss_dice: 0.6880, loss: 14.7809, grad_norm: 68.7132 2023-11-22 17:52:13,696 - mmseg - INFO - Iter [126600/160000] lr: 1.988e-06, eta: 5:26:17, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1876, decode.loss_mask: 0.4371, decode.loss_dice: 0.6801, decode.d0.loss_cls: 1.3024, decode.d0.loss_mask: 0.4682, decode.d0.loss_dice: 0.7584, decode.d1.loss_cls: 0.2667, decode.d1.loss_mask: 0.4509, decode.d1.loss_dice: 0.7130, decode.d2.loss_cls: 0.2212, decode.d2.loss_mask: 0.4449, decode.d2.loss_dice: 0.6969, decode.d3.loss_cls: 0.1992, decode.d3.loss_mask: 0.4399, decode.d3.loss_dice: 0.6851, decode.d4.loss_cls: 0.1968, decode.d4.loss_mask: 0.4390, decode.d4.loss_dice: 0.6850, decode.d5.loss_cls: 0.1953, decode.d5.loss_mask: 0.4378, decode.d5.loss_dice: 0.6813, decode.d6.loss_cls: 0.1908, decode.d6.loss_mask: 0.4370, decode.d6.loss_dice: 0.6796, decode.d7.loss_cls: 0.1953, decode.d7.loss_mask: 0.4358, decode.d7.loss_dice: 0.6784, decode.d8.loss_cls: 0.1847, decode.d8.loss_mask: 0.4376, decode.d8.loss_dice: 0.6814, loss: 14.5075, grad_norm: 70.2505 2023-11-22 17:52:42,004 - mmseg - INFO - Iter [126650/160000] lr: 1.985e-06, eta: 5:25:47, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1871, decode.loss_mask: 0.4521, decode.loss_dice: 0.6762, decode.d0.loss_cls: 1.2612, decode.d0.loss_mask: 0.4863, decode.d0.loss_dice: 0.7531, decode.d1.loss_cls: 0.2644, decode.d1.loss_mask: 0.4699, decode.d1.loss_dice: 0.7144, decode.d2.loss_cls: 0.2187, decode.d2.loss_mask: 0.4610, decode.d2.loss_dice: 0.6938, decode.d3.loss_cls: 0.2020, decode.d3.loss_mask: 0.4573, decode.d3.loss_dice: 0.6855, decode.d4.loss_cls: 0.1964, decode.d4.loss_mask: 0.4526, decode.d4.loss_dice: 0.6786, decode.d5.loss_cls: 0.1937, decode.d5.loss_mask: 0.4521, decode.d5.loss_dice: 0.6792, decode.d6.loss_cls: 0.1959, decode.d6.loss_mask: 0.4520, decode.d6.loss_dice: 0.6792, decode.d7.loss_cls: 0.1961, decode.d7.loss_mask: 0.4518, decode.d7.loss_dice: 0.6793, decode.d8.loss_cls: 0.1888, decode.d8.loss_mask: 0.4522, decode.d8.loss_dice: 0.6780, loss: 14.6088, grad_norm: 67.0873 2023-11-22 17:53:10,218 - mmseg - INFO - Iter [126700/160000] lr: 1.982e-06, eta: 5:25:17, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1719, decode.loss_mask: 0.4501, decode.loss_dice: 0.6635, decode.d0.loss_cls: 1.2771, decode.d0.loss_mask: 0.4842, decode.d0.loss_dice: 0.7377, decode.d1.loss_cls: 0.2538, decode.d1.loss_mask: 0.4642, decode.d1.loss_dice: 0.7004, decode.d2.loss_cls: 0.2140, decode.d2.loss_mask: 0.4567, decode.d2.loss_dice: 0.6755, decode.d3.loss_cls: 0.1968, decode.d3.loss_mask: 0.4525, decode.d3.loss_dice: 0.6678, decode.d4.loss_cls: 0.1865, decode.d4.loss_mask: 0.4515, decode.d4.loss_dice: 0.6700, decode.d5.loss_cls: 0.1813, decode.d5.loss_mask: 0.4513, decode.d5.loss_dice: 0.6707, decode.d6.loss_cls: 0.1756, decode.d6.loss_mask: 0.4505, decode.d6.loss_dice: 0.6640, decode.d7.loss_cls: 0.1745, decode.d7.loss_mask: 0.4505, decode.d7.loss_dice: 0.6674, decode.d8.loss_cls: 0.1790, decode.d8.loss_mask: 0.4495, decode.d8.loss_dice: 0.6618, loss: 14.3504, grad_norm: 68.5543 2023-11-22 17:53:38,466 - mmseg - INFO - Iter [126750/160000] lr: 1.979e-06, eta: 5:24:48, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1780, decode.loss_mask: 0.4265, decode.loss_dice: 0.6741, decode.d0.loss_cls: 1.2392, decode.d0.loss_mask: 0.4592, decode.d0.loss_dice: 0.7431, decode.d1.loss_cls: 0.2471, decode.d1.loss_mask: 0.4404, decode.d1.loss_dice: 0.7113, decode.d2.loss_cls: 0.2078, decode.d2.loss_mask: 0.4357, decode.d2.loss_dice: 0.6891, decode.d3.loss_cls: 0.1938, decode.d3.loss_mask: 0.4324, decode.d3.loss_dice: 0.6766, decode.d4.loss_cls: 0.1842, decode.d4.loss_mask: 0.4308, decode.d4.loss_dice: 0.6777, decode.d5.loss_cls: 0.1822, decode.d5.loss_mask: 0.4305, decode.d5.loss_dice: 0.6799, decode.d6.loss_cls: 0.1772, decode.d6.loss_mask: 0.4280, decode.d6.loss_dice: 0.6747, decode.d7.loss_cls: 0.1778, decode.d7.loss_mask: 0.4267, decode.d7.loss_dice: 0.6732, decode.d8.loss_cls: 0.1770, decode.d8.loss_mask: 0.4267, decode.d8.loss_dice: 0.6735, loss: 14.1745, grad_norm: 63.4549 2023-11-22 17:54:06,869 - mmseg - INFO - Iter [126800/160000] lr: 1.976e-06, eta: 5:24:18, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1855, decode.loss_mask: 0.4541, decode.loss_dice: 0.6793, decode.d0.loss_cls: 1.2768, decode.d0.loss_mask: 0.4955, decode.d0.loss_dice: 0.7528, decode.d1.loss_cls: 0.2650, decode.d1.loss_mask: 0.4761, decode.d1.loss_dice: 0.7158, decode.d2.loss_cls: 0.2233, decode.d2.loss_mask: 0.4670, decode.d2.loss_dice: 0.7016, decode.d3.loss_cls: 0.2044, decode.d3.loss_mask: 0.4615, decode.d3.loss_dice: 0.6859, decode.d4.loss_cls: 0.1988, decode.d4.loss_mask: 0.4613, decode.d4.loss_dice: 0.6824, decode.d5.loss_cls: 0.1992, decode.d5.loss_mask: 0.4603, decode.d5.loss_dice: 0.6867, decode.d6.loss_cls: 0.1963, decode.d6.loss_mask: 0.4570, decode.d6.loss_dice: 0.6797, decode.d7.loss_cls: 0.1886, decode.d7.loss_mask: 0.4584, decode.d7.loss_dice: 0.6842, decode.d8.loss_cls: 0.1929, decode.d8.loss_mask: 0.4563, decode.d8.loss_dice: 0.6822, loss: 14.7291, grad_norm: 69.6333 2023-11-22 17:54:35,336 - mmseg - INFO - Iter [126850/160000] lr: 1.973e-06, eta: 5:23:49, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1738, decode.loss_mask: 0.4355, decode.loss_dice: 0.6701, decode.d0.loss_cls: 1.2665, decode.d0.loss_mask: 0.4613, decode.d0.loss_dice: 0.7378, decode.d1.loss_cls: 0.2488, decode.d1.loss_mask: 0.4495, decode.d1.loss_dice: 0.7051, decode.d2.loss_cls: 0.2045, decode.d2.loss_mask: 0.4418, decode.d2.loss_dice: 0.6933, decode.d3.loss_cls: 0.1945, decode.d3.loss_mask: 0.4383, decode.d3.loss_dice: 0.6762, decode.d4.loss_cls: 0.1863, decode.d4.loss_mask: 0.4369, decode.d4.loss_dice: 0.6782, decode.d5.loss_cls: 0.1825, decode.d5.loss_mask: 0.4372, decode.d5.loss_dice: 0.6780, decode.d6.loss_cls: 0.1774, decode.d6.loss_mask: 0.4366, decode.d6.loss_dice: 0.6703, decode.d7.loss_cls: 0.1751, decode.d7.loss_mask: 0.4356, decode.d7.loss_dice: 0.6734, decode.d8.loss_cls: 0.1721, decode.d8.loss_mask: 0.4341, decode.d8.loss_dice: 0.6722, loss: 14.2429, grad_norm: 60.9523 2023-11-22 17:55:03,623 - mmseg - INFO - Iter [126900/160000] lr: 1.971e-06, eta: 5:23:19, time: 0.566, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1738, decode.loss_mask: 0.4620, decode.loss_dice: 0.6862, decode.d0.loss_cls: 1.2255, decode.d0.loss_mask: 0.4952, decode.d0.loss_dice: 0.7631, decode.d1.loss_cls: 0.2457, decode.d1.loss_mask: 0.4772, decode.d1.loss_dice: 0.7171, decode.d2.loss_cls: 0.2081, decode.d2.loss_mask: 0.4695, decode.d2.loss_dice: 0.7087, decode.d3.loss_cls: 0.1932, decode.d3.loss_mask: 0.4641, decode.d3.loss_dice: 0.6952, decode.d4.loss_cls: 0.1864, decode.d4.loss_mask: 0.4624, decode.d4.loss_dice: 0.6953, decode.d5.loss_cls: 0.1820, decode.d5.loss_mask: 0.4625, decode.d5.loss_dice: 0.6976, decode.d6.loss_cls: 0.1810, decode.d6.loss_mask: 0.4606, decode.d6.loss_dice: 0.6863, decode.d7.loss_cls: 0.1729, decode.d7.loss_mask: 0.4609, decode.d7.loss_dice: 0.6906, decode.d8.loss_cls: 0.1764, decode.d8.loss_mask: 0.4612, decode.d8.loss_dice: 0.6881, loss: 14.6490, grad_norm: 68.4960 2023-11-22 17:55:31,922 - mmseg - INFO - Iter [126950/160000] lr: 1.968e-06, eta: 5:22:50, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1761, decode.loss_mask: 0.4489, decode.loss_dice: 0.6675, decode.d0.loss_cls: 1.2286, decode.d0.loss_mask: 0.4815, decode.d0.loss_dice: 0.7402, decode.d1.loss_cls: 0.2511, decode.d1.loss_mask: 0.4643, decode.d1.loss_dice: 0.6960, decode.d2.loss_cls: 0.2113, decode.d2.loss_mask: 0.4575, decode.d2.loss_dice: 0.6838, decode.d3.loss_cls: 0.1960, decode.d3.loss_mask: 0.4522, decode.d3.loss_dice: 0.6699, decode.d4.loss_cls: 0.1881, decode.d4.loss_mask: 0.4512, decode.d4.loss_dice: 0.6716, decode.d5.loss_cls: 0.1844, decode.d5.loss_mask: 0.4487, decode.d5.loss_dice: 0.6667, decode.d6.loss_cls: 0.1819, decode.d6.loss_mask: 0.4479, decode.d6.loss_dice: 0.6641, decode.d7.loss_cls: 0.1783, decode.d7.loss_mask: 0.4477, decode.d7.loss_dice: 0.6631, decode.d8.loss_cls: 0.1786, decode.d8.loss_mask: 0.4482, decode.d8.loss_dice: 0.6656, loss: 14.3110, grad_norm: 72.7913 2023-11-22 17:56:00,157 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 17:56:00,157 - mmseg - INFO - Iter [127000/160000] lr: 1.965e-06, eta: 5:22:20, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1863, decode.loss_mask: 0.4480, decode.loss_dice: 0.6774, decode.d0.loss_cls: 1.2993, decode.d0.loss_mask: 0.4830, decode.d0.loss_dice: 0.7483, decode.d1.loss_cls: 0.2688, decode.d1.loss_mask: 0.4662, decode.d1.loss_dice: 0.7154, decode.d2.loss_cls: 0.2186, decode.d2.loss_mask: 0.4570, decode.d2.loss_dice: 0.6984, decode.d3.loss_cls: 0.2021, decode.d3.loss_mask: 0.4542, decode.d3.loss_dice: 0.6849, decode.d4.loss_cls: 0.2005, decode.d4.loss_mask: 0.4524, decode.d4.loss_dice: 0.6849, decode.d5.loss_cls: 0.1930, decode.d5.loss_mask: 0.4515, decode.d5.loss_dice: 0.6831, decode.d6.loss_cls: 0.1922, decode.d6.loss_mask: 0.4508, decode.d6.loss_dice: 0.6802, decode.d7.loss_cls: 0.1879, decode.d7.loss_mask: 0.4505, decode.d7.loss_dice: 0.6813, decode.d8.loss_cls: 0.1859, decode.d8.loss_mask: 0.4487, decode.d8.loss_dice: 0.6778, loss: 14.6285, grad_norm: 67.1543 2023-11-22 17:56:28,317 - mmseg - INFO - Iter [127050/160000] lr: 1.962e-06, eta: 5:21:51, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1867, decode.loss_mask: 0.4483, decode.loss_dice: 0.6713, decode.d0.loss_cls: 1.2640, decode.d0.loss_mask: 0.4800, decode.d0.loss_dice: 0.7477, decode.d1.loss_cls: 0.2527, decode.d1.loss_mask: 0.4640, decode.d1.loss_dice: 0.7055, decode.d2.loss_cls: 0.2135, decode.d2.loss_mask: 0.4531, decode.d2.loss_dice: 0.6895, decode.d3.loss_cls: 0.1987, decode.d3.loss_mask: 0.4517, decode.d3.loss_dice: 0.6790, decode.d4.loss_cls: 0.1957, decode.d4.loss_mask: 0.4518, decode.d4.loss_dice: 0.6774, decode.d5.loss_cls: 0.1921, decode.d5.loss_mask: 0.4504, decode.d5.loss_dice: 0.6743, decode.d6.loss_cls: 0.1879, decode.d6.loss_mask: 0.4501, decode.d6.loss_dice: 0.6738, decode.d7.loss_cls: 0.1861, decode.d7.loss_mask: 0.4500, decode.d7.loss_dice: 0.6713, decode.d8.loss_cls: 0.1847, decode.d8.loss_mask: 0.4507, decode.d8.loss_dice: 0.6715, loss: 14.4734, grad_norm: 64.6665 2023-11-22 17:56:56,402 - mmseg - INFO - Iter [127100/160000] lr: 1.959e-06, eta: 5:21:21, time: 0.562, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1697, decode.loss_mask: 0.4753, decode.loss_dice: 0.7164, decode.d0.loss_cls: 1.2417, decode.d0.loss_mask: 0.5139, decode.d0.loss_dice: 0.7756, decode.d1.loss_cls: 0.2524, decode.d1.loss_mask: 0.4903, decode.d1.loss_dice: 0.7474, decode.d2.loss_cls: 0.2102, decode.d2.loss_mask: 0.4822, decode.d2.loss_dice: 0.7292, decode.d3.loss_cls: 0.1920, decode.d3.loss_mask: 0.4782, decode.d3.loss_dice: 0.7183, decode.d4.loss_cls: 0.1832, decode.d4.loss_mask: 0.4778, decode.d4.loss_dice: 0.7172, decode.d5.loss_cls: 0.1793, decode.d5.loss_mask: 0.4770, decode.d5.loss_dice: 0.7182, decode.d6.loss_cls: 0.1769, decode.d6.loss_mask: 0.4758, decode.d6.loss_dice: 0.7141, decode.d7.loss_cls: 0.1744, decode.d7.loss_mask: 0.4749, decode.d7.loss_dice: 0.7158, decode.d8.loss_cls: 0.1747, decode.d8.loss_mask: 0.4747, decode.d8.loss_dice: 0.7148, loss: 15.0415, grad_norm: 69.6181 2023-11-22 17:57:24,955 - mmseg - INFO - Iter [127150/160000] lr: 1.956e-06, eta: 5:20:51, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1742, decode.loss_mask: 0.4344, decode.loss_dice: 0.6738, decode.d0.loss_cls: 1.2756, decode.d0.loss_mask: 0.4683, decode.d0.loss_dice: 0.7490, decode.d1.loss_cls: 0.2568, decode.d1.loss_mask: 0.4533, decode.d1.loss_dice: 0.7098, decode.d2.loss_cls: 0.2058, decode.d2.loss_mask: 0.4449, decode.d2.loss_dice: 0.6910, decode.d3.loss_cls: 0.1850, decode.d3.loss_mask: 0.4395, decode.d3.loss_dice: 0.6793, decode.d4.loss_cls: 0.1802, decode.d4.loss_mask: 0.4395, decode.d4.loss_dice: 0.6815, decode.d5.loss_cls: 0.1805, decode.d5.loss_mask: 0.4381, decode.d5.loss_dice: 0.6777, decode.d6.loss_cls: 0.1758, decode.d6.loss_mask: 0.4361, decode.d6.loss_dice: 0.6740, decode.d7.loss_cls: 0.1685, decode.d7.loss_mask: 0.4372, decode.d7.loss_dice: 0.6771, decode.d8.loss_cls: 0.1736, decode.d8.loss_mask: 0.4353, decode.d8.loss_dice: 0.6736, loss: 14.2891, grad_norm: 64.5460 2023-11-22 17:57:53,364 - mmseg - INFO - Iter [127200/160000] lr: 1.953e-06, eta: 5:20:22, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1722, decode.loss_mask: 0.4424, decode.loss_dice: 0.6695, decode.d0.loss_cls: 1.2485, decode.d0.loss_mask: 0.4796, decode.d0.loss_dice: 0.7429, decode.d1.loss_cls: 0.2499, decode.d1.loss_mask: 0.4648, decode.d1.loss_dice: 0.7083, decode.d2.loss_cls: 0.2047, decode.d2.loss_mask: 0.4524, decode.d2.loss_dice: 0.6963, decode.d3.loss_cls: 0.1905, decode.d3.loss_mask: 0.4477, decode.d3.loss_dice: 0.6763, decode.d4.loss_cls: 0.1819, decode.d4.loss_mask: 0.4450, decode.d4.loss_dice: 0.6768, decode.d5.loss_cls: 0.1772, decode.d5.loss_mask: 0.4441, decode.d5.loss_dice: 0.6765, decode.d6.loss_cls: 0.1786, decode.d6.loss_mask: 0.4434, decode.d6.loss_dice: 0.6727, decode.d7.loss_cls: 0.1770, decode.d7.loss_mask: 0.4424, decode.d7.loss_dice: 0.6679, decode.d8.loss_cls: 0.1760, decode.d8.loss_mask: 0.4421, decode.d8.loss_dice: 0.6752, loss: 14.3227, grad_norm: 70.7346 2023-11-22 17:58:21,776 - mmseg - INFO - Iter [127250/160000] lr: 1.950e-06, eta: 5:19:52, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1855, decode.loss_mask: 0.4426, decode.loss_dice: 0.6897, decode.d0.loss_cls: 1.2668, decode.d0.loss_mask: 0.4747, decode.d0.loss_dice: 0.7655, decode.d1.loss_cls: 0.2681, decode.d1.loss_mask: 0.4562, decode.d1.loss_dice: 0.7203, decode.d2.loss_cls: 0.2168, decode.d2.loss_mask: 0.4495, decode.d2.loss_dice: 0.7005, decode.d3.loss_cls: 0.2059, decode.d3.loss_mask: 0.4422, decode.d3.loss_dice: 0.6921, decode.d4.loss_cls: 0.1990, decode.d4.loss_mask: 0.4435, decode.d4.loss_dice: 0.6893, decode.d5.loss_cls: 0.1921, decode.d5.loss_mask: 0.4434, decode.d5.loss_dice: 0.6888, decode.d6.loss_cls: 0.1932, decode.d6.loss_mask: 0.4422, decode.d6.loss_dice: 0.6875, decode.d7.loss_cls: 0.1845, decode.d7.loss_mask: 0.4425, decode.d7.loss_dice: 0.6916, decode.d8.loss_cls: 0.1860, decode.d8.loss_mask: 0.4429, decode.d8.loss_dice: 0.6876, loss: 14.5904, grad_norm: 67.1001 2023-11-22 17:58:49,972 - mmseg - INFO - Iter [127300/160000] lr: 1.947e-06, eta: 5:19:23, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1822, decode.loss_mask: 0.4534, decode.loss_dice: 0.6796, decode.d0.loss_cls: 1.2616, decode.d0.loss_mask: 0.4851, decode.d0.loss_dice: 0.7519, decode.d1.loss_cls: 0.2641, decode.d1.loss_mask: 0.4668, decode.d1.loss_dice: 0.7089, decode.d2.loss_cls: 0.2144, decode.d2.loss_mask: 0.4614, decode.d2.loss_dice: 0.6976, decode.d3.loss_cls: 0.1948, decode.d3.loss_mask: 0.4563, decode.d3.loss_dice: 0.6792, decode.d4.loss_cls: 0.1901, decode.d4.loss_mask: 0.4559, decode.d4.loss_dice: 0.6870, decode.d5.loss_cls: 0.1892, decode.d5.loss_mask: 0.4560, decode.d5.loss_dice: 0.6806, decode.d6.loss_cls: 0.1858, decode.d6.loss_mask: 0.4545, decode.d6.loss_dice: 0.6747, decode.d7.loss_cls: 0.1807, decode.d7.loss_mask: 0.4542, decode.d7.loss_dice: 0.6746, decode.d8.loss_cls: 0.1781, decode.d8.loss_mask: 0.4551, decode.d8.loss_dice: 0.6781, loss: 14.5519, grad_norm: 69.0539 2023-11-22 17:59:18,345 - mmseg - INFO - Iter [127350/160000] lr: 1.944e-06, eta: 5:18:53, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1764, decode.loss_mask: 0.4284, decode.loss_dice: 0.6553, decode.d0.loss_cls: 1.3221, decode.d0.loss_mask: 0.4639, decode.d0.loss_dice: 0.7224, decode.d1.loss_cls: 0.2579, decode.d1.loss_mask: 0.4410, decode.d1.loss_dice: 0.6883, decode.d2.loss_cls: 0.2092, decode.d2.loss_mask: 0.4348, decode.d2.loss_dice: 0.6670, decode.d3.loss_cls: 0.1933, decode.d3.loss_mask: 0.4321, decode.d3.loss_dice: 0.6551, decode.d4.loss_cls: 0.1866, decode.d4.loss_mask: 0.4317, decode.d4.loss_dice: 0.6558, decode.d5.loss_cls: 0.1803, decode.d5.loss_mask: 0.4291, decode.d5.loss_dice: 0.6540, decode.d6.loss_cls: 0.1807, decode.d6.loss_mask: 0.4295, decode.d6.loss_dice: 0.6538, decode.d7.loss_cls: 0.1750, decode.d7.loss_mask: 0.4294, decode.d7.loss_dice: 0.6526, decode.d8.loss_cls: 0.1744, decode.d8.loss_mask: 0.4281, decode.d8.loss_dice: 0.6522, loss: 14.0600, grad_norm: 64.0614 2023-11-22 17:59:46,590 - mmseg - INFO - Iter [127400/160000] lr: 1.941e-06, eta: 5:18:24, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1684, decode.loss_mask: 0.4362, decode.loss_dice: 0.6690, decode.d0.loss_cls: 1.2773, decode.d0.loss_mask: 0.4661, decode.d0.loss_dice: 0.7457, decode.d1.loss_cls: 0.2506, decode.d1.loss_mask: 0.4528, decode.d1.loss_dice: 0.7118, decode.d2.loss_cls: 0.2038, decode.d2.loss_mask: 0.4445, decode.d2.loss_dice: 0.6900, decode.d3.loss_cls: 0.1867, decode.d3.loss_mask: 0.4376, decode.d3.loss_dice: 0.6719, decode.d4.loss_cls: 0.1802, decode.d4.loss_mask: 0.4373, decode.d4.loss_dice: 0.6748, decode.d5.loss_cls: 0.1763, decode.d5.loss_mask: 0.4384, decode.d5.loss_dice: 0.6727, decode.d6.loss_cls: 0.1763, decode.d6.loss_mask: 0.4364, decode.d6.loss_dice: 0.6656, decode.d7.loss_cls: 0.1717, decode.d7.loss_mask: 0.4358, decode.d7.loss_dice: 0.6680, decode.d8.loss_cls: 0.1683, decode.d8.loss_mask: 0.4354, decode.d8.loss_dice: 0.6726, loss: 14.2222, grad_norm: 67.5204 2023-11-22 18:00:15,172 - mmseg - INFO - Iter [127450/160000] lr: 1.938e-06, eta: 5:17:54, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1752, decode.loss_mask: 0.4675, decode.loss_dice: 0.6718, decode.d0.loss_cls: 1.2394, decode.d0.loss_mask: 0.5022, decode.d0.loss_dice: 0.7493, decode.d1.loss_cls: 0.2511, decode.d1.loss_mask: 0.4830, decode.d1.loss_dice: 0.7085, decode.d2.loss_cls: 0.2059, decode.d2.loss_mask: 0.4757, decode.d2.loss_dice: 0.6895, decode.d3.loss_cls: 0.1908, decode.d3.loss_mask: 0.4705, decode.d3.loss_dice: 0.6822, decode.d4.loss_cls: 0.1900, decode.d4.loss_mask: 0.4702, decode.d4.loss_dice: 0.6831, decode.d5.loss_cls: 0.1840, decode.d5.loss_mask: 0.4704, decode.d5.loss_dice: 0.6752, decode.d6.loss_cls: 0.1789, decode.d6.loss_mask: 0.4688, decode.d6.loss_dice: 0.6743, decode.d7.loss_cls: 0.1783, decode.d7.loss_mask: 0.4675, decode.d7.loss_dice: 0.6718, decode.d8.loss_cls: 0.1786, decode.d8.loss_mask: 0.4679, decode.d8.loss_dice: 0.6737, loss: 14.5952, grad_norm: 70.1229 2023-11-22 18:00:43,784 - mmseg - INFO - Iter [127500/160000] lr: 1.935e-06, eta: 5:17:25, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1751, decode.loss_mask: 0.4519, decode.loss_dice: 0.6484, decode.d0.loss_cls: 1.2493, decode.d0.loss_mask: 0.4873, decode.d0.loss_dice: 0.7200, decode.d1.loss_cls: 0.2455, decode.d1.loss_mask: 0.4715, decode.d1.loss_dice: 0.6881, decode.d2.loss_cls: 0.2081, decode.d2.loss_mask: 0.4597, decode.d2.loss_dice: 0.6671, decode.d3.loss_cls: 0.1920, decode.d3.loss_mask: 0.4557, decode.d3.loss_dice: 0.6550, decode.d4.loss_cls: 0.1856, decode.d4.loss_mask: 0.4533, decode.d4.loss_dice: 0.6572, decode.d5.loss_cls: 0.1786, decode.d5.loss_mask: 0.4538, decode.d5.loss_dice: 0.6543, decode.d6.loss_cls: 0.1786, decode.d6.loss_mask: 0.4532, decode.d6.loss_dice: 0.6569, decode.d7.loss_cls: 0.1748, decode.d7.loss_mask: 0.4521, decode.d7.loss_dice: 0.6543, decode.d8.loss_cls: 0.1718, decode.d8.loss_mask: 0.4521, decode.d8.loss_dice: 0.6518, loss: 14.2031, grad_norm: 70.1707 2023-11-22 18:01:12,625 - mmseg - INFO - Iter [127550/160000] lr: 1.932e-06, eta: 5:16:55, time: 0.577, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1852, decode.loss_mask: 0.4406, decode.loss_dice: 0.6628, decode.d0.loss_cls: 1.2362, decode.d0.loss_mask: 0.4720, decode.d0.loss_dice: 0.7366, decode.d1.loss_cls: 0.2585, decode.d1.loss_mask: 0.4544, decode.d1.loss_dice: 0.6931, decode.d2.loss_cls: 0.2130, decode.d2.loss_mask: 0.4464, decode.d2.loss_dice: 0.6783, decode.d3.loss_cls: 0.2051, decode.d3.loss_mask: 0.4436, decode.d3.loss_dice: 0.6668, decode.d4.loss_cls: 0.1942, decode.d4.loss_mask: 0.4435, decode.d4.loss_dice: 0.6660, decode.d5.loss_cls: 0.1919, decode.d5.loss_mask: 0.4398, decode.d5.loss_dice: 0.6685, decode.d6.loss_cls: 0.1852, decode.d6.loss_mask: 0.4415, decode.d6.loss_dice: 0.6641, decode.d7.loss_cls: 0.1854, decode.d7.loss_mask: 0.4414, decode.d7.loss_dice: 0.6612, decode.d8.loss_cls: 0.1853, decode.d8.loss_mask: 0.4407, decode.d8.loss_dice: 0.6636, loss: 14.2647, grad_norm: 65.4520 2023-11-22 18:01:45,875 - mmseg - INFO - Iter [127600/160000] lr: 1.929e-06, eta: 5:16:27, time: 0.665, data_time: 0.066, memory: 38143, decode.loss_cls: 0.1564, decode.loss_mask: 0.4416, decode.loss_dice: 0.6757, decode.d0.loss_cls: 1.2372, decode.d0.loss_mask: 0.4715, decode.d0.loss_dice: 0.7425, decode.d1.loss_cls: 0.2214, decode.d1.loss_mask: 0.4575, decode.d1.loss_dice: 0.7087, decode.d2.loss_cls: 0.1853, decode.d2.loss_mask: 0.4526, decode.d2.loss_dice: 0.6910, decode.d3.loss_cls: 0.1734, decode.d3.loss_mask: 0.4480, decode.d3.loss_dice: 0.6801, decode.d4.loss_cls: 0.1696, decode.d4.loss_mask: 0.4457, decode.d4.loss_dice: 0.6783, decode.d5.loss_cls: 0.1641, decode.d5.loss_mask: 0.4445, decode.d5.loss_dice: 0.6801, decode.d6.loss_cls: 0.1572, decode.d6.loss_mask: 0.4433, decode.d6.loss_dice: 0.6763, decode.d7.loss_cls: 0.1592, decode.d7.loss_mask: 0.4430, decode.d7.loss_dice: 0.6735, decode.d8.loss_cls: 0.1531, decode.d8.loss_mask: 0.4437, decode.d8.loss_dice: 0.6785, loss: 14.1529, grad_norm: 65.2827 2023-11-22 18:02:14,258 - mmseg - INFO - Iter [127650/160000] lr: 1.926e-06, eta: 5:15:57, time: 0.568, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1798, decode.loss_mask: 0.4569, decode.loss_dice: 0.6948, decode.d0.loss_cls: 1.2670, decode.d0.loss_mask: 0.4928, decode.d0.loss_dice: 0.7660, decode.d1.loss_cls: 0.2579, decode.d1.loss_mask: 0.4746, decode.d1.loss_dice: 0.7315, decode.d2.loss_cls: 0.2156, decode.d2.loss_mask: 0.4665, decode.d2.loss_dice: 0.7141, decode.d3.loss_cls: 0.2007, decode.d3.loss_mask: 0.4610, decode.d3.loss_dice: 0.7001, decode.d4.loss_cls: 0.1911, decode.d4.loss_mask: 0.4603, decode.d4.loss_dice: 0.6968, decode.d5.loss_cls: 0.1890, decode.d5.loss_mask: 0.4588, decode.d5.loss_dice: 0.6921, decode.d6.loss_cls: 0.1863, decode.d6.loss_mask: 0.4602, decode.d6.loss_dice: 0.6942, decode.d7.loss_cls: 0.1849, decode.d7.loss_mask: 0.4591, decode.d7.loss_dice: 0.6915, decode.d8.loss_cls: 0.1796, decode.d8.loss_mask: 0.4588, decode.d8.loss_dice: 0.6943, loss: 14.7760, grad_norm: 68.3885 2023-11-22 18:02:42,603 - mmseg - INFO - Iter [127700/160000] lr: 1.923e-06, eta: 5:15:28, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1921, decode.loss_mask: 0.4344, decode.loss_dice: 0.6784, decode.d0.loss_cls: 1.3075, decode.d0.loss_mask: 0.4689, decode.d0.loss_dice: 0.7561, decode.d1.loss_cls: 0.2652, decode.d1.loss_mask: 0.4490, decode.d1.loss_dice: 0.7172, decode.d2.loss_cls: 0.2201, decode.d2.loss_mask: 0.4405, decode.d2.loss_dice: 0.6971, decode.d3.loss_cls: 0.2047, decode.d3.loss_mask: 0.4390, decode.d3.loss_dice: 0.6862, decode.d4.loss_cls: 0.1909, decode.d4.loss_mask: 0.4385, decode.d4.loss_dice: 0.6825, decode.d5.loss_cls: 0.1947, decode.d5.loss_mask: 0.4366, decode.d5.loss_dice: 0.6816, decode.d6.loss_cls: 0.1888, decode.d6.loss_mask: 0.4363, decode.d6.loss_dice: 0.6772, decode.d7.loss_cls: 0.1851, decode.d7.loss_mask: 0.4350, decode.d7.loss_dice: 0.6767, decode.d8.loss_cls: 0.1895, decode.d8.loss_mask: 0.4360, decode.d8.loss_dice: 0.6758, loss: 14.4817, grad_norm: 66.0000 2023-11-22 18:03:11,278 - mmseg - INFO - Iter [127750/160000] lr: 1.920e-06, eta: 5:14:58, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1667, decode.loss_mask: 0.4241, decode.loss_dice: 0.6454, decode.d0.loss_cls: 1.2767, decode.d0.loss_mask: 0.4586, decode.d0.loss_dice: 0.7197, decode.d1.loss_cls: 0.2403, decode.d1.loss_mask: 0.4419, decode.d1.loss_dice: 0.6846, decode.d2.loss_cls: 0.2004, decode.d2.loss_mask: 0.4297, decode.d2.loss_dice: 0.6582, decode.d3.loss_cls: 0.1785, decode.d3.loss_mask: 0.4276, decode.d3.loss_dice: 0.6546, decode.d4.loss_cls: 0.1804, decode.d4.loss_mask: 0.4261, decode.d4.loss_dice: 0.6520, decode.d5.loss_cls: 0.1758, decode.d5.loss_mask: 0.4264, decode.d5.loss_dice: 0.6512, decode.d6.loss_cls: 0.1704, decode.d6.loss_mask: 0.4262, decode.d6.loss_dice: 0.6475, decode.d7.loss_cls: 0.1677, decode.d7.loss_mask: 0.4239, decode.d7.loss_dice: 0.6453, decode.d8.loss_cls: 0.1700, decode.d8.loss_mask: 0.4236, decode.d8.loss_dice: 0.6434, loss: 13.8370, grad_norm: 65.0771 2023-11-22 18:03:40,025 - mmseg - INFO - Iter [127800/160000] lr: 1.917e-06, eta: 5:14:29, time: 0.575, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1825, decode.loss_mask: 0.4497, decode.loss_dice: 0.6710, decode.d0.loss_cls: 1.2470, decode.d0.loss_mask: 0.4830, decode.d0.loss_dice: 0.7385, decode.d1.loss_cls: 0.2590, decode.d1.loss_mask: 0.4648, decode.d1.loss_dice: 0.7094, decode.d2.loss_cls: 0.2095, decode.d2.loss_mask: 0.4581, decode.d2.loss_dice: 0.6879, decode.d3.loss_cls: 0.1993, decode.d3.loss_mask: 0.4513, decode.d3.loss_dice: 0.6762, decode.d4.loss_cls: 0.1878, decode.d4.loss_mask: 0.4503, decode.d4.loss_dice: 0.6785, decode.d5.loss_cls: 0.1847, decode.d5.loss_mask: 0.4516, decode.d5.loss_dice: 0.6753, decode.d6.loss_cls: 0.1814, decode.d6.loss_mask: 0.4497, decode.d6.loss_dice: 0.6729, decode.d7.loss_cls: 0.1769, decode.d7.loss_mask: 0.4490, decode.d7.loss_dice: 0.6720, decode.d8.loss_cls: 0.1793, decode.d8.loss_mask: 0.4493, decode.d8.loss_dice: 0.6715, loss: 14.4173, grad_norm: 64.1681 2023-11-22 18:04:08,356 - mmseg - INFO - Iter [127850/160000] lr: 1.914e-06, eta: 5:13:59, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1875, decode.loss_mask: 0.4220, decode.loss_dice: 0.6516, decode.d0.loss_cls: 1.2999, decode.d0.loss_mask: 0.4566, decode.d0.loss_dice: 0.7309, decode.d1.loss_cls: 0.2616, decode.d1.loss_mask: 0.4371, decode.d1.loss_dice: 0.6835, decode.d2.loss_cls: 0.2114, decode.d2.loss_mask: 0.4298, decode.d2.loss_dice: 0.6691, decode.d3.loss_cls: 0.1992, decode.d3.loss_mask: 0.4249, decode.d3.loss_dice: 0.6624, decode.d4.loss_cls: 0.1967, decode.d4.loss_mask: 0.4233, decode.d4.loss_dice: 0.6559, decode.d5.loss_cls: 0.1897, decode.d5.loss_mask: 0.4235, decode.d5.loss_dice: 0.6552, decode.d6.loss_cls: 0.1913, decode.d6.loss_mask: 0.4252, decode.d6.loss_dice: 0.6552, decode.d7.loss_cls: 0.1854, decode.d7.loss_mask: 0.4220, decode.d7.loss_dice: 0.6563, decode.d8.loss_cls: 0.1839, decode.d8.loss_mask: 0.4219, decode.d8.loss_dice: 0.6507, loss: 14.0637, grad_norm: 67.8689 2023-11-22 18:04:36,727 - mmseg - INFO - Iter [127900/160000] lr: 1.911e-06, eta: 5:13:30, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1857, decode.loss_mask: 0.4288, decode.loss_dice: 0.6575, decode.d0.loss_cls: 1.2540, decode.d0.loss_mask: 0.4613, decode.d0.loss_dice: 0.7309, decode.d1.loss_cls: 0.2452, decode.d1.loss_mask: 0.4438, decode.d1.loss_dice: 0.6905, decode.d2.loss_cls: 0.2121, decode.d2.loss_mask: 0.4333, decode.d2.loss_dice: 0.6716, decode.d3.loss_cls: 0.1980, decode.d3.loss_mask: 0.4326, decode.d3.loss_dice: 0.6642, decode.d4.loss_cls: 0.1915, decode.d4.loss_mask: 0.4317, decode.d4.loss_dice: 0.6644, decode.d5.loss_cls: 0.1844, decode.d5.loss_mask: 0.4309, decode.d5.loss_dice: 0.6637, decode.d6.loss_cls: 0.1853, decode.d6.loss_mask: 0.4288, decode.d6.loss_dice: 0.6601, decode.d7.loss_cls: 0.1828, decode.d7.loss_mask: 0.4278, decode.d7.loss_dice: 0.6574, decode.d8.loss_cls: 0.1840, decode.d8.loss_mask: 0.4283, decode.d8.loss_dice: 0.6621, loss: 14.0928, grad_norm: 64.7991 2023-11-22 18:05:05,007 - mmseg - INFO - Iter [127950/160000] lr: 1.908e-06, eta: 5:13:00, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1673, decode.loss_mask: 0.4499, decode.loss_dice: 0.6645, decode.d0.loss_cls: 1.2454, decode.d0.loss_mask: 0.4854, decode.d0.loss_dice: 0.7427, decode.d1.loss_cls: 0.2471, decode.d1.loss_mask: 0.4596, decode.d1.loss_dice: 0.7032, decode.d2.loss_cls: 0.1951, decode.d2.loss_mask: 0.4556, decode.d2.loss_dice: 0.6844, decode.d3.loss_cls: 0.1836, decode.d3.loss_mask: 0.4528, decode.d3.loss_dice: 0.6722, decode.d4.loss_cls: 0.1769, decode.d4.loss_mask: 0.4522, decode.d4.loss_dice: 0.6684, decode.d5.loss_cls: 0.1741, decode.d5.loss_mask: 0.4510, decode.d5.loss_dice: 0.6690, decode.d6.loss_cls: 0.1735, decode.d6.loss_mask: 0.4507, decode.d6.loss_dice: 0.6650, decode.d7.loss_cls: 0.1652, decode.d7.loss_mask: 0.4491, decode.d7.loss_dice: 0.6700, decode.d8.loss_cls: 0.1666, decode.d8.loss_mask: 0.4487, decode.d8.loss_dice: 0.6698, loss: 14.2589, grad_norm: 65.0052 2023-11-22 18:05:33,308 - mmseg - INFO - Saving checkpoint at 128000 iterations 2023-11-22 18:05:42,570 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 18:05:42,570 - mmseg - INFO - Iter [128000/160000] lr: 1.905e-06, eta: 5:12:33, time: 0.751, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1827, decode.loss_mask: 0.4398, decode.loss_dice: 0.6696, decode.d0.loss_cls: 1.2601, decode.d0.loss_mask: 0.4798, decode.d0.loss_dice: 0.7521, decode.d1.loss_cls: 0.2542, decode.d1.loss_mask: 0.4619, decode.d1.loss_dice: 0.7096, decode.d2.loss_cls: 0.2079, decode.d2.loss_mask: 0.4510, decode.d2.loss_dice: 0.6921, decode.d3.loss_cls: 0.2013, decode.d3.loss_mask: 0.4459, decode.d3.loss_dice: 0.6829, decode.d4.loss_cls: 0.1900, decode.d4.loss_mask: 0.4430, decode.d4.loss_dice: 0.6807, decode.d5.loss_cls: 0.1880, decode.d5.loss_mask: 0.4406, decode.d5.loss_dice: 0.6742, decode.d6.loss_cls: 0.1882, decode.d6.loss_mask: 0.4409, decode.d6.loss_dice: 0.6741, decode.d7.loss_cls: 0.1850, decode.d7.loss_mask: 0.4389, decode.d7.loss_dice: 0.6705, decode.d8.loss_cls: 0.1765, decode.d8.loss_mask: 0.4407, decode.d8.loss_dice: 0.6766, loss: 14.3988, grad_norm: 68.0803 2023-11-22 18:06:01,908 - mmseg - INFO - per class results: 2023-11-22 18:06:01,914 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.22 | 88.3 | | building | 84.34 | 91.16 | | sky | 95.03 | 97.63 | | floor | 84.65 | 91.57 | | tree | 75.86 | 89.29 | | ceiling | 86.12 | 92.81 | | road | 85.91 | 89.84 | | bed | 91.33 | 95.44 | | windowpane | 64.61 | 83.46 | | grass | 68.19 | 81.78 | | cabinet | 63.9 | 77.47 | | sidewalk | 66.07 | 77.75 | | person | 86.38 | 94.1 | | earth | 39.58 | 55.85 | | door | 53.98 | 68.66 | | table | 70.03 | 81.78 | | mountain | 58.57 | 73.86 | | plant | 53.73 | 64.19 | | curtain | 73.62 | 83.59 | | chair | 65.53 | 78.43 | | car | 87.67 | 94.21 | | water | 57.51 | 71.11 | | painting | 75.21 | 91.01 | | sofa | 75.74 | 89.33 | | shelf | 44.37 | 59.33 | | house | 51.27 | 81.62 | | sea | 60.13 | 83.73 | | mirror | 75.95 | 83.01 | | rug | 67.64 | 80.66 | | field | 36.93 | 60.82 | | armchair | 51.13 | 68.76 | | seat | 66.13 | 86.96 | | fence | 52.05 | 64.23 | | desk | 55.94 | 79.09 | | rock | 53.2 | 69.89 | | wardrobe | 45.46 | 64.97 | | lamp | 72.98 | 83.81 | | bathtub | 76.16 | 87.39 | | railing | 37.39 | 53.77 | | cushion | 65.01 | 74.36 | | base | 42.88 | 65.57 | | box | 34.25 | 46.37 | | column | 52.32 | 69.24 | | signboard | 39.66 | 56.41 | | chest of drawers | 36.93 | 57.2 | | counter | 48.07 | 59.22 | | sand | 38.3 | 53.01 | | sink | 80.34 | 85.28 | | skyscraper | 61.97 | 77.64 | | fireplace | 73.7 | 89.03 | | refrigerator | 79.43 | 84.26 | | grandstand | 46.51 | 81.52 | | path | 17.6 | 39.95 | | stairs | 36.55 | 42.72 | | runway | 72.02 | 93.52 | | case | 59.77 | 74.95 | | pool table | 94.32 | 97.77 | | pillow | 64.82 | 80.16 | | screen door | 75.8 | 85.8 | | stairway | 38.53 | 52.3 | | river | 11.1 | 21.15 | | bridge | 82.52 | 91.08 | | bookcase | 27.34 | 47.36 | | blind | 45.84 | 51.51 | | coffee table | 71.12 | 87.18 | | toilet | 91.53 | 94.08 | | flower | 44.17 | 63.72 | | book | 52.43 | 78.07 | | hill | 7.45 | 14.37 | | bench | 65.19 | 74.47 | | countertop | 68.08 | 80.43 | | stove | 88.03 | 91.23 | | palm | 57.76 | 78.11 | | kitchen island | 49.33 | 81.04 | | computer | 75.54 | 84.78 | | swivel chair | 47.65 | 66.1 | | boat | 39.29 | 57.21 | | bar | 56.92 | 63.67 | | arcade machine | 76.65 | 81.16 | | hovel | 69.05 | 76.47 | | bus | 94.2 | 97.17 | | towel | 77.11 | 89.01 | | light | 65.6 | 78.89 | | truck | 48.66 | 57.55 | | tower | 43.51 | 73.07 | | chandelier | 71.83 | 89.21 | | awning | 40.13 | 53.93 | | streetlight | 47.58 | 68.17 | | booth | 51.6 | 68.43 | | television receiver | 77.89 | 88.23 | | airplane | 63.37 | 80.86 | | dirt track | 5.26 | 36.87 | | apparel | 42.51 | 68.67 | | pole | 39.13 | 60.06 | | land | 3.05 | 7.28 | | bannister | 22.24 | 35.1 | | escalator | 25.13 | 29.15 | | ottoman | 52.52 | 76.85 | | bottle | 41.24 | 67.45 | | buffet | 48.77 | 65.94 | | poster | 28.87 | 47.86 | | stage | 26.42 | 47.43 | | van | 46.55 | 69.85 | | ship | 9.59 | 14.32 | | fountain | 21.48 | 21.93 | | conveyer belt | 41.94 | 94.75 | | canopy | 30.02 | 52.0 | | washer | 69.8 | 73.23 | | plaything | 45.0 | 59.06 | | swimming pool | 71.24 | 72.01 | | stool | 53.03 | 76.64 | | barrel | 55.13 | 98.54 | | basket | 44.48 | 58.9 | | waterfall | 77.73 | 90.59 | | tent | 89.84 | 98.14 | | bag | 22.31 | 32.56 | | minibike | 70.57 | 90.56 | | cradle | 87.29 | 97.84 | | oven | 27.25 | 76.26 | | ball | 58.95 | 67.47 | | food | 61.46 | 71.75 | | step | 27.81 | 44.14 | | tank | 61.42 | 65.89 | | trade name | 31.19 | 38.05 | | microwave | 43.44 | 46.84 | | pot | 52.0 | 62.52 | | animal | 60.45 | 62.01 | | bicycle | 63.08 | 81.61 | | lake | 58.62 | 63.66 | | dishwasher | 82.75 | 89.05 | | screen | 56.52 | 92.24 | | blanket | 34.58 | 47.19 | | sculpture | 69.09 | 89.18 | | hood | 73.93 | 78.29 | | sconce | 61.98 | 73.68 | | vase | 55.61 | 72.67 | | traffic light | 49.35 | 71.16 | | tray | 20.26 | 33.3 | | ashcan | 50.68 | 75.29 | | fan | 70.1 | 85.93 | | pier | 14.14 | 14.93 | | crt screen | 3.44 | 10.57 | | plate | 62.04 | 83.49 | | monitor | 8.68 | 11.36 | | bulletin board | 53.78 | 80.02 | | shower | 14.02 | 26.66 | | radiator | 71.29 | 84.82 | | glass | 24.78 | 27.51 | | clock | 55.27 | 68.53 | | flag | 73.03 | 84.0 | +---------------------+-------+-------+ 2023-11-22 18:06:01,914 - mmseg - INFO - Summary: 2023-11-22 18:06:01,914 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.97 | 55.21 | 69.52 | +-------+-------+-------+ 2023-11-22 18:06:01,915 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 18:06:01,915 - mmseg - INFO - Iter(val) [250] aAcc: 0.8497, mIoU: 0.5521, mAcc: 0.6952, IoU.wall: 0.8122, IoU.building: 0.8434, IoU.sky: 0.9503, IoU.floor: 0.8465, IoU.tree: 0.7586, IoU.ceiling: 0.8612, IoU.road: 0.8591, IoU.bed : 0.9133, IoU.windowpane: 0.6461, IoU.grass: 0.6819, IoU.cabinet: 0.6390, IoU.sidewalk: 0.6607, IoU.person: 0.8638, IoU.earth: 0.3958, IoU.door: 0.5398, IoU.table: 0.7003, IoU.mountain: 0.5857, IoU.plant: 0.5373, IoU.curtain: 0.7362, IoU.chair: 0.6553, IoU.car: 0.8767, IoU.water: 0.5751, IoU.painting: 0.7521, IoU.sofa: 0.7574, IoU.shelf: 0.4437, IoU.house: 0.5127, IoU.sea: 0.6013, IoU.mirror: 0.7595, IoU.rug: 0.6764, IoU.field: 0.3693, IoU.armchair: 0.5113, IoU.seat: 0.6613, IoU.fence: 0.5205, IoU.desk: 0.5594, IoU.rock: 0.5320, IoU.wardrobe: 0.4546, IoU.lamp: 0.7298, IoU.bathtub: 0.7616, IoU.railing: 0.3739, IoU.cushion: 0.6501, IoU.base: 0.4288, IoU.box: 0.3425, IoU.column: 0.5232, IoU.signboard: 0.3966, IoU.chest of drawers: 0.3693, IoU.counter: 0.4807, IoU.sand: 0.3830, IoU.sink: 0.8034, IoU.skyscraper: 0.6197, IoU.fireplace: 0.7370, IoU.refrigerator: 0.7943, IoU.grandstand: 0.4651, IoU.path: 0.1760, IoU.stairs: 0.3655, IoU.runway: 0.7202, IoU.case: 0.5977, IoU.pool table: 0.9432, IoU.pillow: 0.6482, IoU.screen door: 0.7580, IoU.stairway: 0.3853, IoU.river: 0.1110, IoU.bridge: 0.8252, IoU.bookcase: 0.2734, IoU.blind: 0.4584, IoU.coffee table: 0.7112, IoU.toilet: 0.9153, IoU.flower: 0.4417, IoU.book: 0.5243, IoU.hill: 0.0745, IoU.bench: 0.6519, IoU.countertop: 0.6808, IoU.stove: 0.8803, IoU.palm: 0.5776, IoU.kitchen island: 0.4933, IoU.computer: 0.7554, IoU.swivel chair: 0.4765, IoU.boat: 0.3929, IoU.bar: 0.5692, IoU.arcade machine: 0.7665, IoU.hovel: 0.6905, IoU.bus: 0.9420, IoU.towel: 0.7711, IoU.light: 0.6560, IoU.truck: 0.4866, IoU.tower: 0.4351, IoU.chandelier: 0.7183, IoU.awning: 0.4013, IoU.streetlight: 0.4758, IoU.booth: 0.5160, IoU.television receiver: 0.7789, IoU.airplane: 0.6337, IoU.dirt track: 0.0526, IoU.apparel: 0.4251, IoU.pole: 0.3913, IoU.land: 0.0305, IoU.bannister: 0.2224, IoU.escalator: 0.2513, IoU.ottoman: 0.5252, IoU.bottle: 0.4124, IoU.buffet: 0.4877, IoU.poster: 0.2887, IoU.stage: 0.2642, IoU.van: 0.4655, IoU.ship: 0.0959, IoU.fountain: 0.2148, IoU.conveyer belt: 0.4194, IoU.canopy: 0.3002, IoU.washer: 0.6980, IoU.plaything: 0.4500, IoU.swimming pool: 0.7124, IoU.stool: 0.5303, IoU.barrel: 0.5513, IoU.basket: 0.4448, IoU.waterfall: 0.7773, IoU.tent: 0.8984, IoU.bag: 0.2231, IoU.minibike: 0.7057, IoU.cradle: 0.8729, IoU.oven: 0.2725, IoU.ball: 0.5895, IoU.food: 0.6146, IoU.step: 0.2781, IoU.tank: 0.6142, IoU.trade name: 0.3119, IoU.microwave: 0.4344, IoU.pot: 0.5200, IoU.animal: 0.6045, IoU.bicycle: 0.6308, IoU.lake: 0.5862, IoU.dishwasher: 0.8275, IoU.screen: 0.5652, IoU.blanket: 0.3458, IoU.sculpture: 0.6909, IoU.hood: 0.7393, IoU.sconce: 0.6198, IoU.vase: 0.5561, IoU.traffic light: 0.4935, IoU.tray: 0.2026, IoU.ashcan: 0.5068, IoU.fan: 0.7010, IoU.pier: 0.1414, IoU.crt screen: 0.0344, IoU.plate: 0.6204, IoU.monitor: 0.0868, IoU.bulletin board: 0.5378, IoU.shower: 0.1402, IoU.radiator: 0.7129, IoU.glass: 0.2478, IoU.clock: 0.5527, IoU.flag: 0.7303, Acc.wall: 0.8830, Acc.building: 0.9116, Acc.sky: 0.9763, Acc.floor: 0.9157, Acc.tree: 0.8929, Acc.ceiling: 0.9281, Acc.road: 0.8984, Acc.bed : 0.9544, Acc.windowpane: 0.8346, Acc.grass: 0.8178, Acc.cabinet: 0.7747, Acc.sidewalk: 0.7775, Acc.person: 0.9410, Acc.earth: 0.5585, Acc.door: 0.6866, Acc.table: 0.8178, Acc.mountain: 0.7386, Acc.plant: 0.6419, Acc.curtain: 0.8359, Acc.chair: 0.7843, Acc.car: 0.9421, Acc.water: 0.7111, Acc.painting: 0.9101, Acc.sofa: 0.8933, Acc.shelf: 0.5933, Acc.house: 0.8162, Acc.sea: 0.8373, Acc.mirror: 0.8301, Acc.rug: 0.8066, Acc.field: 0.6082, Acc.armchair: 0.6876, Acc.seat: 0.8696, Acc.fence: 0.6423, Acc.desk: 0.7909, Acc.rock: 0.6989, Acc.wardrobe: 0.6497, Acc.lamp: 0.8381, Acc.bathtub: 0.8739, Acc.railing: 0.5377, Acc.cushion: 0.7436, Acc.base: 0.6557, Acc.box: 0.4637, Acc.column: 0.6924, Acc.signboard: 0.5641, Acc.chest of drawers: 0.5720, Acc.counter: 0.5922, Acc.sand: 0.5301, Acc.sink: 0.8528, Acc.skyscraper: 0.7764, Acc.fireplace: 0.8903, Acc.refrigerator: 0.8426, Acc.grandstand: 0.8152, Acc.path: 0.3995, Acc.stairs: 0.4272, Acc.runway: 0.9352, Acc.case: 0.7495, Acc.pool table: 0.9777, Acc.pillow: 0.8016, Acc.screen door: 0.8580, Acc.stairway: 0.5230, Acc.river: 0.2115, Acc.bridge: 0.9108, Acc.bookcase: 0.4736, Acc.blind: 0.5151, Acc.coffee table: 0.8718, Acc.toilet: 0.9408, Acc.flower: 0.6372, Acc.book: 0.7807, Acc.hill: 0.1437, Acc.bench: 0.7447, Acc.countertop: 0.8043, Acc.stove: 0.9123, Acc.palm: 0.7811, Acc.kitchen island: 0.8104, Acc.computer: 0.8478, Acc.swivel chair: 0.6610, Acc.boat: 0.5721, Acc.bar: 0.6367, Acc.arcade machine: 0.8116, Acc.hovel: 0.7647, Acc.bus: 0.9717, Acc.towel: 0.8901, Acc.light: 0.7889, Acc.truck: 0.5755, Acc.tower: 0.7307, Acc.chandelier: 0.8921, Acc.awning: 0.5393, Acc.streetlight: 0.6817, Acc.booth: 0.6843, Acc.television receiver: 0.8823, Acc.airplane: 0.8086, Acc.dirt track: 0.3687, Acc.apparel: 0.6867, Acc.pole: 0.6006, Acc.land: 0.0728, Acc.bannister: 0.3510, Acc.escalator: 0.2915, Acc.ottoman: 0.7685, Acc.bottle: 0.6745, Acc.buffet: 0.6594, Acc.poster: 0.4786, Acc.stage: 0.4743, Acc.van: 0.6985, Acc.ship: 0.1432, Acc.fountain: 0.2193, Acc.conveyer belt: 0.9475, Acc.canopy: 0.5200, Acc.washer: 0.7323, Acc.plaything: 0.5906, Acc.swimming pool: 0.7201, Acc.stool: 0.7664, Acc.barrel: 0.9854, Acc.basket: 0.5890, Acc.waterfall: 0.9059, Acc.tent: 0.9814, Acc.bag: 0.3256, Acc.minibike: 0.9056, Acc.cradle: 0.9784, Acc.oven: 0.7626, Acc.ball: 0.6747, Acc.food: 0.7175, Acc.step: 0.4414, Acc.tank: 0.6589, Acc.trade name: 0.3805, Acc.microwave: 0.4684, Acc.pot: 0.6252, Acc.animal: 0.6201, Acc.bicycle: 0.8161, Acc.lake: 0.6366, Acc.dishwasher: 0.8905, Acc.screen: 0.9224, Acc.blanket: 0.4719, Acc.sculpture: 0.8918, Acc.hood: 0.7829, Acc.sconce: 0.7368, Acc.vase: 0.7267, Acc.traffic light: 0.7116, Acc.tray: 0.3330, Acc.ashcan: 0.7529, Acc.fan: 0.8593, Acc.pier: 0.1493, Acc.crt screen: 0.1057, Acc.plate: 0.8349, Acc.monitor: 0.1136, Acc.bulletin board: 0.8002, Acc.shower: 0.2666, Acc.radiator: 0.8482, Acc.glass: 0.2751, Acc.clock: 0.6853, Acc.flag: 0.8400 2023-11-22 18:06:30,402 - mmseg - INFO - Iter [128050/160000] lr: 1.902e-06, eta: 5:12:08, time: 0.957, data_time: 0.399, memory: 38143, decode.loss_cls: 0.1755, decode.loss_mask: 0.4476, decode.loss_dice: 0.6871, decode.d0.loss_cls: 1.3028, decode.d0.loss_mask: 0.4822, decode.d0.loss_dice: 0.7708, decode.d1.loss_cls: 0.2685, decode.d1.loss_mask: 0.4617, decode.d1.loss_dice: 0.7208, decode.d2.loss_cls: 0.2148, decode.d2.loss_mask: 0.4524, decode.d2.loss_dice: 0.7033, decode.d3.loss_cls: 0.1986, decode.d3.loss_mask: 0.4492, decode.d3.loss_dice: 0.6926, decode.d4.loss_cls: 0.1876, decode.d4.loss_mask: 0.4489, decode.d4.loss_dice: 0.6894, decode.d5.loss_cls: 0.1890, decode.d5.loss_mask: 0.4476, decode.d5.loss_dice: 0.6924, decode.d6.loss_cls: 0.1829, decode.d6.loss_mask: 0.4480, decode.d6.loss_dice: 0.6887, decode.d7.loss_cls: 0.1822, decode.d7.loss_mask: 0.4452, decode.d7.loss_dice: 0.6856, decode.d8.loss_cls: 0.1803, decode.d8.loss_mask: 0.4456, decode.d8.loss_dice: 0.6870, loss: 14.6281, grad_norm: 66.8031 2023-11-22 18:06:58,860 - mmseg - INFO - Iter [128100/160000] lr: 1.899e-06, eta: 5:11:39, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1896, decode.loss_mask: 0.4584, decode.loss_dice: 0.6962, decode.d0.loss_cls: 1.2924, decode.d0.loss_mask: 0.4938, decode.d0.loss_dice: 0.7699, decode.d1.loss_cls: 0.2793, decode.d1.loss_mask: 0.4696, decode.d1.loss_dice: 0.7307, decode.d2.loss_cls: 0.2339, decode.d2.loss_mask: 0.4645, decode.d2.loss_dice: 0.7132, decode.d3.loss_cls: 0.2122, decode.d3.loss_mask: 0.4607, decode.d3.loss_dice: 0.7000, decode.d4.loss_cls: 0.2043, decode.d4.loss_mask: 0.4615, decode.d4.loss_dice: 0.6971, decode.d5.loss_cls: 0.2000, decode.d5.loss_mask: 0.4595, decode.d5.loss_dice: 0.6958, decode.d6.loss_cls: 0.2008, decode.d6.loss_mask: 0.4576, decode.d6.loss_dice: 0.6917, decode.d7.loss_cls: 0.1947, decode.d7.loss_mask: 0.4580, decode.d7.loss_dice: 0.6935, decode.d8.loss_cls: 0.1964, decode.d8.loss_mask: 0.4584, decode.d8.loss_dice: 0.6933, loss: 14.9270, grad_norm: 72.7998 2023-11-22 18:07:27,159 - mmseg - INFO - Iter [128150/160000] lr: 1.896e-06, eta: 5:11:09, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1744, decode.loss_mask: 0.4372, decode.loss_dice: 0.6807, decode.d0.loss_cls: 1.2538, decode.d0.loss_mask: 0.4663, decode.d0.loss_dice: 0.7532, decode.d1.loss_cls: 0.2584, decode.d1.loss_mask: 0.4516, decode.d1.loss_dice: 0.7136, decode.d2.loss_cls: 0.2108, decode.d2.loss_mask: 0.4400, decode.d2.loss_dice: 0.6964, decode.d3.loss_cls: 0.1939, decode.d3.loss_mask: 0.4381, decode.d3.loss_dice: 0.6867, decode.d4.loss_cls: 0.1857, decode.d4.loss_mask: 0.4388, decode.d4.loss_dice: 0.6879, decode.d5.loss_cls: 0.1842, decode.d5.loss_mask: 0.4379, decode.d5.loss_dice: 0.6880, decode.d6.loss_cls: 0.1876, decode.d6.loss_mask: 0.4356, decode.d6.loss_dice: 0.6781, decode.d7.loss_cls: 0.1827, decode.d7.loss_mask: 0.4354, decode.d7.loss_dice: 0.6814, decode.d8.loss_cls: 0.1765, decode.d8.loss_mask: 0.4378, decode.d8.loss_dice: 0.6809, loss: 14.3736, grad_norm: 66.8102 2023-11-22 18:07:55,400 - mmseg - INFO - Iter [128200/160000] lr: 1.893e-06, eta: 5:10:40, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1763, decode.loss_mask: 0.4541, decode.loss_dice: 0.6844, decode.d0.loss_cls: 1.2531, decode.d0.loss_mask: 0.4880, decode.d0.loss_dice: 0.7527, decode.d1.loss_cls: 0.2498, decode.d1.loss_mask: 0.4724, decode.d1.loss_dice: 0.7183, decode.d2.loss_cls: 0.2112, decode.d2.loss_mask: 0.4604, decode.d2.loss_dice: 0.6998, decode.d3.loss_cls: 0.1919, decode.d3.loss_mask: 0.4557, decode.d3.loss_dice: 0.6871, decode.d4.loss_cls: 0.1896, decode.d4.loss_mask: 0.4548, decode.d4.loss_dice: 0.6846, decode.d5.loss_cls: 0.1814, decode.d5.loss_mask: 0.4546, decode.d5.loss_dice: 0.6825, decode.d6.loss_cls: 0.1780, decode.d6.loss_mask: 0.4551, decode.d6.loss_dice: 0.6882, decode.d7.loss_cls: 0.1795, decode.d7.loss_mask: 0.4551, decode.d7.loss_dice: 0.6809, decode.d8.loss_cls: 0.1798, decode.d8.loss_mask: 0.4531, decode.d8.loss_dice: 0.6801, loss: 14.5524, grad_norm: 72.1508 2023-11-22 18:08:23,655 - mmseg - INFO - Iter [128250/160000] lr: 1.890e-06, eta: 5:10:10, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1753, decode.loss_mask: 0.4278, decode.loss_dice: 0.6595, decode.d0.loss_cls: 1.2718, decode.d0.loss_mask: 0.4603, decode.d0.loss_dice: 0.7372, decode.d1.loss_cls: 0.2572, decode.d1.loss_mask: 0.4433, decode.d1.loss_dice: 0.6940, decode.d2.loss_cls: 0.2079, decode.d2.loss_mask: 0.4373, decode.d2.loss_dice: 0.6754, decode.d3.loss_cls: 0.1917, decode.d3.loss_mask: 0.4314, decode.d3.loss_dice: 0.6621, decode.d4.loss_cls: 0.1831, decode.d4.loss_mask: 0.4299, decode.d4.loss_dice: 0.6607, decode.d5.loss_cls: 0.1823, decode.d5.loss_mask: 0.4302, decode.d5.loss_dice: 0.6588, decode.d6.loss_cls: 0.1793, decode.d6.loss_mask: 0.4298, decode.d6.loss_dice: 0.6603, decode.d7.loss_cls: 0.1758, decode.d7.loss_mask: 0.4312, decode.d7.loss_dice: 0.6598, decode.d8.loss_cls: 0.1740, decode.d8.loss_mask: 0.4290, decode.d8.loss_dice: 0.6613, loss: 14.0775, grad_norm: 63.4557 2023-11-22 18:08:52,299 - mmseg - INFO - Iter [128300/160000] lr: 1.887e-06, eta: 5:09:41, time: 0.573, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1709, decode.loss_mask: 0.4327, decode.loss_dice: 0.6706, decode.d0.loss_cls: 1.2761, decode.d0.loss_mask: 0.4626, decode.d0.loss_dice: 0.7368, decode.d1.loss_cls: 0.2425, decode.d1.loss_mask: 0.4494, decode.d1.loss_dice: 0.6984, decode.d2.loss_cls: 0.2042, decode.d2.loss_mask: 0.4427, decode.d2.loss_dice: 0.6786, decode.d3.loss_cls: 0.1886, decode.d3.loss_mask: 0.4383, decode.d3.loss_dice: 0.6678, decode.d4.loss_cls: 0.1770, decode.d4.loss_mask: 0.4368, decode.d4.loss_dice: 0.6701, decode.d5.loss_cls: 0.1743, decode.d5.loss_mask: 0.4359, decode.d5.loss_dice: 0.6684, decode.d6.loss_cls: 0.1746, decode.d6.loss_mask: 0.4333, decode.d6.loss_dice: 0.6659, decode.d7.loss_cls: 0.1697, decode.d7.loss_mask: 0.4342, decode.d7.loss_dice: 0.6714, decode.d8.loss_cls: 0.1667, decode.d8.loss_mask: 0.4337, decode.d8.loss_dice: 0.6703, loss: 14.1425, grad_norm: 65.9481 2023-11-22 18:09:20,565 - mmseg - INFO - Iter [128350/160000] lr: 1.884e-06, eta: 5:09:11, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1693, decode.loss_mask: 0.4448, decode.loss_dice: 0.6652, decode.d0.loss_cls: 1.2426, decode.d0.loss_mask: 0.4751, decode.d0.loss_dice: 0.7276, decode.d1.loss_cls: 0.2462, decode.d1.loss_mask: 0.4600, decode.d1.loss_dice: 0.6914, decode.d2.loss_cls: 0.2047, decode.d2.loss_mask: 0.4511, decode.d2.loss_dice: 0.6779, decode.d3.loss_cls: 0.1892, decode.d3.loss_mask: 0.4479, decode.d3.loss_dice: 0.6699, decode.d4.loss_cls: 0.1827, decode.d4.loss_mask: 0.4458, decode.d4.loss_dice: 0.6705, decode.d5.loss_cls: 0.1793, decode.d5.loss_mask: 0.4457, decode.d5.loss_dice: 0.6648, decode.d6.loss_cls: 0.1770, decode.d6.loss_mask: 0.4458, decode.d6.loss_dice: 0.6648, decode.d7.loss_cls: 0.1717, decode.d7.loss_mask: 0.4455, decode.d7.loss_dice: 0.6690, decode.d8.loss_cls: 0.1716, decode.d8.loss_mask: 0.4448, decode.d8.loss_dice: 0.6630, loss: 14.2048, grad_norm: 65.5805 2023-11-22 18:09:48,955 - mmseg - INFO - Iter [128400/160000] lr: 1.881e-06, eta: 5:08:42, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1818, decode.loss_mask: 0.4635, decode.loss_dice: 0.6722, decode.d0.loss_cls: 1.2580, decode.d0.loss_mask: 0.4967, decode.d0.loss_dice: 0.7417, decode.d1.loss_cls: 0.2624, decode.d1.loss_mask: 0.4774, decode.d1.loss_dice: 0.7027, decode.d2.loss_cls: 0.2209, decode.d2.loss_mask: 0.4687, decode.d2.loss_dice: 0.6822, decode.d3.loss_cls: 0.2025, decode.d3.loss_mask: 0.4642, decode.d3.loss_dice: 0.6760, decode.d4.loss_cls: 0.1969, decode.d4.loss_mask: 0.4622, decode.d4.loss_dice: 0.6734, decode.d5.loss_cls: 0.1898, decode.d5.loss_mask: 0.4620, decode.d5.loss_dice: 0.6678, decode.d6.loss_cls: 0.1852, decode.d6.loss_mask: 0.4625, decode.d6.loss_dice: 0.6708, decode.d7.loss_cls: 0.1866, decode.d7.loss_mask: 0.4606, decode.d7.loss_dice: 0.6681, decode.d8.loss_cls: 0.1830, decode.d8.loss_mask: 0.4636, decode.d8.loss_dice: 0.6726, loss: 14.5762, grad_norm: 72.9472 2023-11-22 18:10:17,346 - mmseg - INFO - Iter [128450/160000] lr: 1.878e-06, eta: 5:08:12, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1758, decode.loss_mask: 0.4429, decode.loss_dice: 0.6689, decode.d0.loss_cls: 1.2271, decode.d0.loss_mask: 0.4752, decode.d0.loss_dice: 0.7330, decode.d1.loss_cls: 0.2530, decode.d1.loss_mask: 0.4611, decode.d1.loss_dice: 0.7015, decode.d2.loss_cls: 0.2061, decode.d2.loss_mask: 0.4490, decode.d2.loss_dice: 0.6842, decode.d3.loss_cls: 0.1900, decode.d3.loss_mask: 0.4477, decode.d3.loss_dice: 0.6748, decode.d4.loss_cls: 0.1864, decode.d4.loss_mask: 0.4470, decode.d4.loss_dice: 0.6745, decode.d5.loss_cls: 0.1809, decode.d5.loss_mask: 0.4450, decode.d5.loss_dice: 0.6684, decode.d6.loss_cls: 0.1809, decode.d6.loss_mask: 0.4438, decode.d6.loss_dice: 0.6671, decode.d7.loss_cls: 0.1779, decode.d7.loss_mask: 0.4431, decode.d7.loss_dice: 0.6685, decode.d8.loss_cls: 0.1753, decode.d8.loss_mask: 0.4421, decode.d8.loss_dice: 0.6688, loss: 14.2598, grad_norm: 64.9794 2023-11-22 18:10:45,488 - mmseg - INFO - Iter [128500/160000] lr: 1.875e-06, eta: 5:07:43, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1756, decode.loss_mask: 0.4462, decode.loss_dice: 0.6747, decode.d0.loss_cls: 1.2578, decode.d0.loss_mask: 0.4797, decode.d0.loss_dice: 0.7514, decode.d1.loss_cls: 0.2547, decode.d1.loss_mask: 0.4640, decode.d1.loss_dice: 0.7081, decode.d2.loss_cls: 0.2096, decode.d2.loss_mask: 0.4545, decode.d2.loss_dice: 0.6898, decode.d3.loss_cls: 0.2015, decode.d3.loss_mask: 0.4504, decode.d3.loss_dice: 0.6832, decode.d4.loss_cls: 0.1878, decode.d4.loss_mask: 0.4499, decode.d4.loss_dice: 0.6780, decode.d5.loss_cls: 0.1832, decode.d5.loss_mask: 0.4496, decode.d5.loss_dice: 0.6795, decode.d6.loss_cls: 0.1839, decode.d6.loss_mask: 0.4494, decode.d6.loss_dice: 0.6728, decode.d7.loss_cls: 0.1766, decode.d7.loss_mask: 0.4486, decode.d7.loss_dice: 0.6728, decode.d8.loss_cls: 0.1799, decode.d8.loss_mask: 0.4475, decode.d8.loss_dice: 0.6801, loss: 14.4406, grad_norm: 71.9246 2023-11-22 18:11:13,689 - mmseg - INFO - Iter [128550/160000] lr: 1.872e-06, eta: 5:07:13, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1736, decode.loss_mask: 0.4439, decode.loss_dice: 0.6494, decode.d0.loss_cls: 1.2473, decode.d0.loss_mask: 0.4754, decode.d0.loss_dice: 0.7192, decode.d1.loss_cls: 0.2524, decode.d1.loss_mask: 0.4565, decode.d1.loss_dice: 0.6875, decode.d2.loss_cls: 0.2105, decode.d2.loss_mask: 0.4509, decode.d2.loss_dice: 0.6707, decode.d3.loss_cls: 0.1917, decode.d3.loss_mask: 0.4475, decode.d3.loss_dice: 0.6574, decode.d4.loss_cls: 0.1817, decode.d4.loss_mask: 0.4481, decode.d4.loss_dice: 0.6523, decode.d5.loss_cls: 0.1831, decode.d5.loss_mask: 0.4473, decode.d5.loss_dice: 0.6524, decode.d6.loss_cls: 0.1800, decode.d6.loss_mask: 0.4465, decode.d6.loss_dice: 0.6475, decode.d7.loss_cls: 0.1749, decode.d7.loss_mask: 0.4455, decode.d7.loss_dice: 0.6479, decode.d8.loss_cls: 0.1731, decode.d8.loss_mask: 0.4448, decode.d8.loss_dice: 0.6489, loss: 14.1076, grad_norm: 64.5012 2023-11-22 18:11:42,141 - mmseg - INFO - Iter [128600/160000] lr: 1.869e-06, eta: 5:06:43, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1692, decode.loss_mask: 0.4461, decode.loss_dice: 0.6474, decode.d0.loss_cls: 1.2377, decode.d0.loss_mask: 0.4788, decode.d0.loss_dice: 0.7115, decode.d1.loss_cls: 0.2374, decode.d1.loss_mask: 0.4638, decode.d1.loss_dice: 0.6908, decode.d2.loss_cls: 0.2088, decode.d2.loss_mask: 0.4548, decode.d2.loss_dice: 0.6686, decode.d3.loss_cls: 0.1848, decode.d3.loss_mask: 0.4497, decode.d3.loss_dice: 0.6586, decode.d4.loss_cls: 0.1778, decode.d4.loss_mask: 0.4483, decode.d4.loss_dice: 0.6579, decode.d5.loss_cls: 0.1791, decode.d5.loss_mask: 0.4473, decode.d5.loss_dice: 0.6575, decode.d6.loss_cls: 0.1787, decode.d6.loss_mask: 0.4457, decode.d6.loss_dice: 0.6471, decode.d7.loss_cls: 0.1742, decode.d7.loss_mask: 0.4450, decode.d7.loss_dice: 0.6482, decode.d8.loss_cls: 0.1720, decode.d8.loss_mask: 0.4448, decode.d8.loss_dice: 0.6464, loss: 14.0778, grad_norm: 67.4094 2023-11-22 18:12:10,469 - mmseg - INFO - Iter [128650/160000] lr: 1.866e-06, eta: 5:06:14, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1708, decode.loss_mask: 0.4430, decode.loss_dice: 0.6776, decode.d0.loss_cls: 1.2370, decode.d0.loss_mask: 0.4732, decode.d0.loss_dice: 0.7473, decode.d1.loss_cls: 0.2449, decode.d1.loss_mask: 0.4601, decode.d1.loss_dice: 0.7119, decode.d2.loss_cls: 0.2121, decode.d2.loss_mask: 0.4518, decode.d2.loss_dice: 0.6943, decode.d3.loss_cls: 0.1962, decode.d3.loss_mask: 0.4468, decode.d3.loss_dice: 0.6830, decode.d4.loss_cls: 0.1855, decode.d4.loss_mask: 0.4445, decode.d4.loss_dice: 0.6810, decode.d5.loss_cls: 0.1856, decode.d5.loss_mask: 0.4444, decode.d5.loss_dice: 0.6790, decode.d6.loss_cls: 0.1818, decode.d6.loss_mask: 0.4440, decode.d6.loss_dice: 0.6769, decode.d7.loss_cls: 0.1790, decode.d7.loss_mask: 0.4455, decode.d7.loss_dice: 0.6789, decode.d8.loss_cls: 0.1751, decode.d8.loss_mask: 0.4445, decode.d8.loss_dice: 0.6795, loss: 14.3754, grad_norm: 66.7547 2023-11-22 18:12:38,832 - mmseg - INFO - Iter [128700/160000] lr: 1.863e-06, eta: 5:05:44, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1654, decode.loss_mask: 0.4512, decode.loss_dice: 0.6723, decode.d0.loss_cls: 1.2888, decode.d0.loss_mask: 0.4843, decode.d0.loss_dice: 0.7484, decode.d1.loss_cls: 0.2470, decode.d1.loss_mask: 0.4630, decode.d1.loss_dice: 0.7069, decode.d2.loss_cls: 0.2009, decode.d2.loss_mask: 0.4552, decode.d2.loss_dice: 0.6846, decode.d3.loss_cls: 0.1785, decode.d3.loss_mask: 0.4536, decode.d3.loss_dice: 0.6794, decode.d4.loss_cls: 0.1725, decode.d4.loss_mask: 0.4535, decode.d4.loss_dice: 0.6809, decode.d5.loss_cls: 0.1741, decode.d5.loss_mask: 0.4533, decode.d5.loss_dice: 0.6774, decode.d6.loss_cls: 0.1708, decode.d6.loss_mask: 0.4513, decode.d6.loss_dice: 0.6725, decode.d7.loss_cls: 0.1668, decode.d7.loss_mask: 0.4514, decode.d7.loss_dice: 0.6762, decode.d8.loss_cls: 0.1651, decode.d8.loss_mask: 0.4509, decode.d8.loss_dice: 0.6766, loss: 14.3728, grad_norm: 67.2188 2023-11-22 18:13:07,034 - mmseg - INFO - Iter [128750/160000] lr: 1.860e-06, eta: 5:05:15, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1740, decode.loss_mask: 0.4593, decode.loss_dice: 0.6907, decode.d0.loss_cls: 1.2650, decode.d0.loss_mask: 0.4906, decode.d0.loss_dice: 0.7548, decode.d1.loss_cls: 0.2509, decode.d1.loss_mask: 0.4749, decode.d1.loss_dice: 0.7185, decode.d2.loss_cls: 0.2141, decode.d2.loss_mask: 0.4657, decode.d2.loss_dice: 0.7038, decode.d3.loss_cls: 0.2034, decode.d3.loss_mask: 0.4616, decode.d3.loss_dice: 0.6963, decode.d4.loss_cls: 0.1824, decode.d4.loss_mask: 0.4630, decode.d4.loss_dice: 0.6982, decode.d5.loss_cls: 0.1832, decode.d5.loss_mask: 0.4619, decode.d5.loss_dice: 0.6968, decode.d6.loss_cls: 0.1813, decode.d6.loss_mask: 0.4611, decode.d6.loss_dice: 0.6918, decode.d7.loss_cls: 0.1789, decode.d7.loss_mask: 0.4598, decode.d7.loss_dice: 0.6940, decode.d8.loss_cls: 0.1755, decode.d8.loss_mask: 0.4594, decode.d8.loss_dice: 0.6916, loss: 14.7025, grad_norm: 69.4841 2023-11-22 18:13:35,451 - mmseg - INFO - Iter [128800/160000] lr: 1.857e-06, eta: 5:04:45, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1907, decode.loss_mask: 0.4266, decode.loss_dice: 0.6640, decode.d0.loss_cls: 1.3172, decode.d0.loss_mask: 0.4576, decode.d0.loss_dice: 0.7464, decode.d1.loss_cls: 0.2824, decode.d1.loss_mask: 0.4382, decode.d1.loss_dice: 0.6993, decode.d2.loss_cls: 0.2351, decode.d2.loss_mask: 0.4275, decode.d2.loss_dice: 0.6814, decode.d3.loss_cls: 0.2174, decode.d3.loss_mask: 0.4280, decode.d3.loss_dice: 0.6731, decode.d4.loss_cls: 0.2060, decode.d4.loss_mask: 0.4278, decode.d4.loss_dice: 0.6708, decode.d5.loss_cls: 0.2032, decode.d5.loss_mask: 0.4259, decode.d5.loss_dice: 0.6640, decode.d6.loss_cls: 0.2000, decode.d6.loss_mask: 0.4265, decode.d6.loss_dice: 0.6633, decode.d7.loss_cls: 0.1928, decode.d7.loss_mask: 0.4269, decode.d7.loss_dice: 0.6653, decode.d8.loss_cls: 0.1913, decode.d8.loss_mask: 0.4269, decode.d8.loss_dice: 0.6669, loss: 14.3425, grad_norm: 64.2520 2023-11-22 18:14:06,051 - mmseg - INFO - Iter [128850/160000] lr: 1.854e-06, eta: 5:04:16, time: 0.612, data_time: 0.060, memory: 38143, decode.loss_cls: 0.1855, decode.loss_mask: 0.4293, decode.loss_dice: 0.6733, decode.d0.loss_cls: 1.2631, decode.d0.loss_mask: 0.4617, decode.d0.loss_dice: 0.7479, decode.d1.loss_cls: 0.2744, decode.d1.loss_mask: 0.4415, decode.d1.loss_dice: 0.7084, decode.d2.loss_cls: 0.2245, decode.d2.loss_mask: 0.4353, decode.d2.loss_dice: 0.6866, decode.d3.loss_cls: 0.2016, decode.d3.loss_mask: 0.4304, decode.d3.loss_dice: 0.6782, decode.d4.loss_cls: 0.1965, decode.d4.loss_mask: 0.4293, decode.d4.loss_dice: 0.6758, decode.d5.loss_cls: 0.1926, decode.d5.loss_mask: 0.4285, decode.d5.loss_dice: 0.6716, decode.d6.loss_cls: 0.1906, decode.d6.loss_mask: 0.4293, decode.d6.loss_dice: 0.6704, decode.d7.loss_cls: 0.1910, decode.d7.loss_mask: 0.4272, decode.d7.loss_dice: 0.6710, decode.d8.loss_cls: 0.1856, decode.d8.loss_mask: 0.4283, decode.d8.loss_dice: 0.6737, loss: 14.3032, grad_norm: 66.9543 2023-11-22 18:14:34,527 - mmseg - INFO - Iter [128900/160000] lr: 1.851e-06, eta: 5:03:47, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1907, decode.loss_mask: 0.4262, decode.loss_dice: 0.6569, decode.d0.loss_cls: 1.2551, decode.d0.loss_mask: 0.4616, decode.d0.loss_dice: 0.7414, decode.d1.loss_cls: 0.2638, decode.d1.loss_mask: 0.4376, decode.d1.loss_dice: 0.6953, decode.d2.loss_cls: 0.2205, decode.d2.loss_mask: 0.4309, decode.d2.loss_dice: 0.6715, decode.d3.loss_cls: 0.2102, decode.d3.loss_mask: 0.4285, decode.d3.loss_dice: 0.6615, decode.d4.loss_cls: 0.2010, decode.d4.loss_mask: 0.4265, decode.d4.loss_dice: 0.6606, decode.d5.loss_cls: 0.1983, decode.d5.loss_mask: 0.4254, decode.d5.loss_dice: 0.6609, decode.d6.loss_cls: 0.1931, decode.d6.loss_mask: 0.4268, decode.d6.loss_dice: 0.6631, decode.d7.loss_cls: 0.1932, decode.d7.loss_mask: 0.4262, decode.d7.loss_dice: 0.6594, decode.d8.loss_cls: 0.1882, decode.d8.loss_mask: 0.4261, decode.d8.loss_dice: 0.6560, loss: 14.1566, grad_norm: 64.8289 2023-11-22 18:15:02,955 - mmseg - INFO - Iter [128950/160000] lr: 1.848e-06, eta: 5:03:17, time: 0.569, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1736, decode.loss_mask: 0.4536, decode.loss_dice: 0.6544, decode.d0.loss_cls: 1.2456, decode.d0.loss_mask: 0.4855, decode.d0.loss_dice: 0.7273, decode.d1.loss_cls: 0.2553, decode.d1.loss_mask: 0.4711, decode.d1.loss_dice: 0.6853, decode.d2.loss_cls: 0.2083, decode.d2.loss_mask: 0.4622, decode.d2.loss_dice: 0.6659, decode.d3.loss_cls: 0.1938, decode.d3.loss_mask: 0.4575, decode.d3.loss_dice: 0.6560, decode.d4.loss_cls: 0.1886, decode.d4.loss_mask: 0.4552, decode.d4.loss_dice: 0.6567, decode.d5.loss_cls: 0.1816, decode.d5.loss_mask: 0.4553, decode.d5.loss_dice: 0.6566, decode.d6.loss_cls: 0.1830, decode.d6.loss_mask: 0.4534, decode.d6.loss_dice: 0.6540, decode.d7.loss_cls: 0.1761, decode.d7.loss_mask: 0.4546, decode.d7.loss_dice: 0.6532, decode.d8.loss_cls: 0.1752, decode.d8.loss_mask: 0.4545, decode.d8.loss_dice: 0.6548, loss: 14.2486, grad_norm: 67.6615 2023-11-22 18:15:31,345 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 18:15:31,345 - mmseg - INFO - Iter [129000/160000] lr: 1.846e-06, eta: 5:02:48, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1819, decode.loss_mask: 0.4339, decode.loss_dice: 0.6628, decode.d0.loss_cls: 1.2787, decode.d0.loss_mask: 0.4697, decode.d0.loss_dice: 0.7294, decode.d1.loss_cls: 0.2573, decode.d1.loss_mask: 0.4531, decode.d1.loss_dice: 0.6927, decode.d2.loss_cls: 0.2123, decode.d2.loss_mask: 0.4430, decode.d2.loss_dice: 0.6761, decode.d3.loss_cls: 0.1941, decode.d3.loss_mask: 0.4402, decode.d3.loss_dice: 0.6670, decode.d4.loss_cls: 0.1901, decode.d4.loss_mask: 0.4386, decode.d4.loss_dice: 0.6636, decode.d5.loss_cls: 0.1861, decode.d5.loss_mask: 0.4347, decode.d5.loss_dice: 0.6627, decode.d6.loss_cls: 0.1892, decode.d6.loss_mask: 0.4351, decode.d6.loss_dice: 0.6607, decode.d7.loss_cls: 0.1817, decode.d7.loss_mask: 0.4350, decode.d7.loss_dice: 0.6616, decode.d8.loss_cls: 0.1856, decode.d8.loss_mask: 0.4347, decode.d8.loss_dice: 0.6612, loss: 14.2127, grad_norm: 66.7946 2023-11-22 18:15:59,643 - mmseg - INFO - Iter [129050/160000] lr: 1.843e-06, eta: 5:02:18, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1882, decode.loss_mask: 0.4461, decode.loss_dice: 0.6786, decode.d0.loss_cls: 1.2777, decode.d0.loss_mask: 0.4820, decode.d0.loss_dice: 0.7601, decode.d1.loss_cls: 0.2591, decode.d1.loss_mask: 0.4609, decode.d1.loss_dice: 0.7195, decode.d2.loss_cls: 0.2216, decode.d2.loss_mask: 0.4514, decode.d2.loss_dice: 0.6981, decode.d3.loss_cls: 0.2048, decode.d3.loss_mask: 0.4484, decode.d3.loss_dice: 0.6848, decode.d4.loss_cls: 0.1954, decode.d4.loss_mask: 0.4470, decode.d4.loss_dice: 0.6870, decode.d5.loss_cls: 0.1967, decode.d5.loss_mask: 0.4478, decode.d5.loss_dice: 0.6817, decode.d6.loss_cls: 0.1907, decode.d6.loss_mask: 0.4466, decode.d6.loss_dice: 0.6810, decode.d7.loss_cls: 0.1874, decode.d7.loss_mask: 0.4450, decode.d7.loss_dice: 0.6792, decode.d8.loss_cls: 0.1864, decode.d8.loss_mask: 0.4461, decode.d8.loss_dice: 0.6808, loss: 14.5801, grad_norm: 67.4210 2023-11-22 18:16:27,955 - mmseg - INFO - Iter [129100/160000] lr: 1.840e-06, eta: 5:01:49, time: 0.566, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1829, decode.loss_mask: 0.4432, decode.loss_dice: 0.6793, decode.d0.loss_cls: 1.2642, decode.d0.loss_mask: 0.4785, decode.d0.loss_dice: 0.7655, decode.d1.loss_cls: 0.2612, decode.d1.loss_mask: 0.4580, decode.d1.loss_dice: 0.7134, decode.d2.loss_cls: 0.2189, decode.d2.loss_mask: 0.4508, decode.d2.loss_dice: 0.6942, decode.d3.loss_cls: 0.2063, decode.d3.loss_mask: 0.4463, decode.d3.loss_dice: 0.6848, decode.d4.loss_cls: 0.1962, decode.d4.loss_mask: 0.4466, decode.d4.loss_dice: 0.6839, decode.d5.loss_cls: 0.1904, decode.d5.loss_mask: 0.4460, decode.d5.loss_dice: 0.6823, decode.d6.loss_cls: 0.1883, decode.d6.loss_mask: 0.4442, decode.d6.loss_dice: 0.6769, decode.d7.loss_cls: 0.1851, decode.d7.loss_mask: 0.4448, decode.d7.loss_dice: 0.6806, decode.d8.loss_cls: 0.1847, decode.d8.loss_mask: 0.4438, decode.d8.loss_dice: 0.6814, loss: 14.5227, grad_norm: 66.1041 2023-11-22 18:16:56,176 - mmseg - INFO - Iter [129150/160000] lr: 1.837e-06, eta: 5:01:19, time: 0.564, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1667, decode.loss_mask: 0.4249, decode.loss_dice: 0.6467, decode.d0.loss_cls: 1.2499, decode.d0.loss_mask: 0.4582, decode.d0.loss_dice: 0.7246, decode.d1.loss_cls: 0.2433, decode.d1.loss_mask: 0.4429, decode.d1.loss_dice: 0.6818, decode.d2.loss_cls: 0.2057, decode.d2.loss_mask: 0.4316, decode.d2.loss_dice: 0.6633, decode.d3.loss_cls: 0.1871, decode.d3.loss_mask: 0.4281, decode.d3.loss_dice: 0.6528, decode.d4.loss_cls: 0.1812, decode.d4.loss_mask: 0.4278, decode.d4.loss_dice: 0.6555, decode.d5.loss_cls: 0.1774, decode.d5.loss_mask: 0.4285, decode.d5.loss_dice: 0.6537, decode.d6.loss_cls: 0.1751, decode.d6.loss_mask: 0.4260, decode.d6.loss_dice: 0.6506, decode.d7.loss_cls: 0.1757, decode.d7.loss_mask: 0.4258, decode.d7.loss_dice: 0.6476, decode.d8.loss_cls: 0.1730, decode.d8.loss_mask: 0.4255, decode.d8.loss_dice: 0.6497, loss: 13.8808, grad_norm: 68.7958 2023-11-22 18:17:24,668 - mmseg - INFO - Iter [129200/160000] lr: 1.834e-06, eta: 5:00:50, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1832, decode.loss_mask: 0.4448, decode.loss_dice: 0.6892, decode.d0.loss_cls: 1.2842, decode.d0.loss_mask: 0.4774, decode.d0.loss_dice: 0.7608, decode.d1.loss_cls: 0.2793, decode.d1.loss_mask: 0.4612, decode.d1.loss_dice: 0.7189, decode.d2.loss_cls: 0.2240, decode.d2.loss_mask: 0.4561, decode.d2.loss_dice: 0.6995, decode.d3.loss_cls: 0.2131, decode.d3.loss_mask: 0.4488, decode.d3.loss_dice: 0.6917, decode.d4.loss_cls: 0.2044, decode.d4.loss_mask: 0.4466, decode.d4.loss_dice: 0.6919, decode.d5.loss_cls: 0.1944, decode.d5.loss_mask: 0.4459, decode.d5.loss_dice: 0.6926, decode.d6.loss_cls: 0.1919, decode.d6.loss_mask: 0.4444, decode.d6.loss_dice: 0.6877, decode.d7.loss_cls: 0.1854, decode.d7.loss_mask: 0.4444, decode.d7.loss_dice: 0.6865, decode.d8.loss_cls: 0.1837, decode.d8.loss_mask: 0.4446, decode.d8.loss_dice: 0.6891, loss: 14.6655, grad_norm: 68.5087 2023-11-22 18:17:53,066 - mmseg - INFO - Iter [129250/160000] lr: 1.831e-06, eta: 5:00:20, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1655, decode.loss_mask: 0.4416, decode.loss_dice: 0.6885, decode.d0.loss_cls: 1.2802, decode.d0.loss_mask: 0.4728, decode.d0.loss_dice: 0.7612, decode.d1.loss_cls: 0.2541, decode.d1.loss_mask: 0.4576, decode.d1.loss_dice: 0.7259, decode.d2.loss_cls: 0.2087, decode.d2.loss_mask: 0.4484, decode.d2.loss_dice: 0.7087, decode.d3.loss_cls: 0.1872, decode.d3.loss_mask: 0.4438, decode.d3.loss_dice: 0.6950, decode.d4.loss_cls: 0.1825, decode.d4.loss_mask: 0.4429, decode.d4.loss_dice: 0.6953, decode.d5.loss_cls: 0.1762, decode.d5.loss_mask: 0.4413, decode.d5.loss_dice: 0.6924, decode.d6.loss_cls: 0.1718, decode.d6.loss_mask: 0.4426, decode.d6.loss_dice: 0.6893, decode.d7.loss_cls: 0.1721, decode.d7.loss_mask: 0.4414, decode.d7.loss_dice: 0.6889, decode.d8.loss_cls: 0.1679, decode.d8.loss_mask: 0.4408, decode.d8.loss_dice: 0.6909, loss: 14.4754, grad_norm: 63.5209 2023-11-22 18:18:21,289 - mmseg - INFO - Iter [129300/160000] lr: 1.828e-06, eta: 4:59:51, time: 0.566, data_time: 0.015, memory: 38143, decode.loss_cls: 0.1807, decode.loss_mask: 0.4425, decode.loss_dice: 0.6634, decode.d0.loss_cls: 1.2615, decode.d0.loss_mask: 0.4782, decode.d0.loss_dice: 0.7364, decode.d1.loss_cls: 0.2539, decode.d1.loss_mask: 0.4558, decode.d1.loss_dice: 0.7027, decode.d2.loss_cls: 0.2204, decode.d2.loss_mask: 0.4467, decode.d2.loss_dice: 0.6784, decode.d3.loss_cls: 0.1988, decode.d3.loss_mask: 0.4455, decode.d3.loss_dice: 0.6687, decode.d4.loss_cls: 0.1921, decode.d4.loss_mask: 0.4451, decode.d4.loss_dice: 0.6719, decode.d5.loss_cls: 0.1865, decode.d5.loss_mask: 0.4439, decode.d5.loss_dice: 0.6693, decode.d6.loss_cls: 0.1880, decode.d6.loss_mask: 0.4433, decode.d6.loss_dice: 0.6615, decode.d7.loss_cls: 0.1814, decode.d7.loss_mask: 0.4427, decode.d7.loss_dice: 0.6660, decode.d8.loss_cls: 0.1826, decode.d8.loss_mask: 0.4420, decode.d8.loss_dice: 0.6636, loss: 14.3135, grad_norm: 65.9764 2023-11-22 18:18:49,338 - mmseg - INFO - Iter [129350/160000] lr: 1.825e-06, eta: 4:59:21, time: 0.561, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1794, decode.loss_mask: 0.4526, decode.loss_dice: 0.6856, decode.d0.loss_cls: 1.2410, decode.d0.loss_mask: 0.4887, decode.d0.loss_dice: 0.7558, decode.d1.loss_cls: 0.2542, decode.d1.loss_mask: 0.4651, decode.d1.loss_dice: 0.7141, decode.d2.loss_cls: 0.2115, decode.d2.loss_mask: 0.4619, decode.d2.loss_dice: 0.7018, decode.d3.loss_cls: 0.1992, decode.d3.loss_mask: 0.4588, decode.d3.loss_dice: 0.6891, decode.d4.loss_cls: 0.1919, decode.d4.loss_mask: 0.4559, decode.d4.loss_dice: 0.6874, decode.d5.loss_cls: 0.1851, decode.d5.loss_mask: 0.4554, decode.d5.loss_dice: 0.6876, decode.d6.loss_cls: 0.1846, decode.d6.loss_mask: 0.4544, decode.d6.loss_dice: 0.6833, decode.d7.loss_cls: 0.1834, decode.d7.loss_mask: 0.4529, decode.d7.loss_dice: 0.6844, decode.d8.loss_cls: 0.1807, decode.d8.loss_mask: 0.4529, decode.d8.loss_dice: 0.6837, loss: 14.5823, grad_norm: 69.6265 2023-11-22 18:19:17,692 - mmseg - INFO - Iter [129400/160000] lr: 1.822e-06, eta: 4:58:51, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1804, decode.loss_mask: 0.4336, decode.loss_dice: 0.6708, decode.d0.loss_cls: 1.2564, decode.d0.loss_mask: 0.4671, decode.d0.loss_dice: 0.7326, decode.d1.loss_cls: 0.2543, decode.d1.loss_mask: 0.4523, decode.d1.loss_dice: 0.7051, decode.d2.loss_cls: 0.2160, decode.d2.loss_mask: 0.4410, decode.d2.loss_dice: 0.6879, decode.d3.loss_cls: 0.1957, decode.d3.loss_mask: 0.4375, decode.d3.loss_dice: 0.6794, decode.d4.loss_cls: 0.1896, decode.d4.loss_mask: 0.4386, decode.d4.loss_dice: 0.6793, decode.d5.loss_cls: 0.1828, decode.d5.loss_mask: 0.4374, decode.d5.loss_dice: 0.6745, decode.d6.loss_cls: 0.1799, decode.d6.loss_mask: 0.4366, decode.d6.loss_dice: 0.6726, decode.d7.loss_cls: 0.1809, decode.d7.loss_mask: 0.4353, decode.d7.loss_dice: 0.6719, decode.d8.loss_cls: 0.1753, decode.d8.loss_mask: 0.4343, decode.d8.loss_dice: 0.6724, loss: 14.2713, grad_norm: 64.3879 2023-11-22 18:19:45,824 - mmseg - INFO - Iter [129450/160000] lr: 1.819e-06, eta: 4:58:22, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1728, decode.loss_mask: 0.4435, decode.loss_dice: 0.6571, decode.d0.loss_cls: 1.2523, decode.d0.loss_mask: 0.4769, decode.d0.loss_dice: 0.7323, decode.d1.loss_cls: 0.2519, decode.d1.loss_mask: 0.4572, decode.d1.loss_dice: 0.6871, decode.d2.loss_cls: 0.2088, decode.d2.loss_mask: 0.4502, decode.d2.loss_dice: 0.6731, decode.d3.loss_cls: 0.1921, decode.d3.loss_mask: 0.4471, decode.d3.loss_dice: 0.6619, decode.d4.loss_cls: 0.1873, decode.d4.loss_mask: 0.4466, decode.d4.loss_dice: 0.6611, decode.d5.loss_cls: 0.1860, decode.d5.loss_mask: 0.4468, decode.d5.loss_dice: 0.6612, decode.d6.loss_cls: 0.1793, decode.d6.loss_mask: 0.4436, decode.d6.loss_dice: 0.6563, decode.d7.loss_cls: 0.1754, decode.d7.loss_mask: 0.4438, decode.d7.loss_dice: 0.6546, decode.d8.loss_cls: 0.1750, decode.d8.loss_mask: 0.4449, decode.d8.loss_dice: 0.6569, loss: 14.1831, grad_norm: 68.4445 2023-11-22 18:20:14,333 - mmseg - INFO - Iter [129500/160000] lr: 1.816e-06, eta: 4:57:52, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1676, decode.loss_mask: 0.4522, decode.loss_dice: 0.6804, decode.d0.loss_cls: 1.2347, decode.d0.loss_mask: 0.4894, decode.d0.loss_dice: 0.7500, decode.d1.loss_cls: 0.2364, decode.d1.loss_mask: 0.4662, decode.d1.loss_dice: 0.7134, decode.d2.loss_cls: 0.2059, decode.d2.loss_mask: 0.4548, decode.d2.loss_dice: 0.6910, decode.d3.loss_cls: 0.1881, decode.d3.loss_mask: 0.4539, decode.d3.loss_dice: 0.6812, decode.d4.loss_cls: 0.1809, decode.d4.loss_mask: 0.4541, decode.d4.loss_dice: 0.6829, decode.d5.loss_cls: 0.1812, decode.d5.loss_mask: 0.4549, decode.d5.loss_dice: 0.6768, decode.d6.loss_cls: 0.1771, decode.d6.loss_mask: 0.4541, decode.d6.loss_dice: 0.6814, decode.d7.loss_cls: 0.1724, decode.d7.loss_mask: 0.4542, decode.d7.loss_dice: 0.6748, decode.d8.loss_cls: 0.1718, decode.d8.loss_mask: 0.4525, decode.d8.loss_dice: 0.6799, loss: 14.4143, grad_norm: 67.7780 2023-11-22 18:20:42,980 - mmseg - INFO - Iter [129550/160000] lr: 1.813e-06, eta: 4:57:23, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1868, decode.loss_mask: 0.4502, decode.loss_dice: 0.6979, decode.d0.loss_cls: 1.2788, decode.d0.loss_mask: 0.4868, decode.d0.loss_dice: 0.7664, decode.d1.loss_cls: 0.2737, decode.d1.loss_mask: 0.4645, decode.d1.loss_dice: 0.7304, decode.d2.loss_cls: 0.2255, decode.d2.loss_mask: 0.4586, decode.d2.loss_dice: 0.7105, decode.d3.loss_cls: 0.2079, decode.d3.loss_mask: 0.4563, decode.d3.loss_dice: 0.7012, decode.d4.loss_cls: 0.2055, decode.d4.loss_mask: 0.4534, decode.d4.loss_dice: 0.6980, decode.d5.loss_cls: 0.1992, decode.d5.loss_mask: 0.4528, decode.d5.loss_dice: 0.6987, decode.d6.loss_cls: 0.1945, decode.d6.loss_mask: 0.4497, decode.d6.loss_dice: 0.7004, decode.d7.loss_cls: 0.1939, decode.d7.loss_mask: 0.4505, decode.d7.loss_dice: 0.6931, decode.d8.loss_cls: 0.1886, decode.d8.loss_mask: 0.4499, decode.d8.loss_dice: 0.6997, loss: 14.8234, grad_norm: 68.5403 2023-11-22 18:21:11,336 - mmseg - INFO - Iter [129600/160000] lr: 1.810e-06, eta: 4:56:53, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1771, decode.loss_mask: 0.4473, decode.loss_dice: 0.6707, decode.d0.loss_cls: 1.2487, decode.d0.loss_mask: 0.4812, decode.d0.loss_dice: 0.7396, decode.d1.loss_cls: 0.2485, decode.d1.loss_mask: 0.4650, decode.d1.loss_dice: 0.7103, decode.d2.loss_cls: 0.2043, decode.d2.loss_mask: 0.4592, decode.d2.loss_dice: 0.6932, decode.d3.loss_cls: 0.1928, decode.d3.loss_mask: 0.4531, decode.d3.loss_dice: 0.6800, decode.d4.loss_cls: 0.1843, decode.d4.loss_mask: 0.4504, decode.d4.loss_dice: 0.6796, decode.d5.loss_cls: 0.1816, decode.d5.loss_mask: 0.4505, decode.d5.loss_dice: 0.6769, decode.d6.loss_cls: 0.1800, decode.d6.loss_mask: 0.4486, decode.d6.loss_dice: 0.6749, decode.d7.loss_cls: 0.1777, decode.d7.loss_mask: 0.4481, decode.d7.loss_dice: 0.6758, decode.d8.loss_cls: 0.1754, decode.d8.loss_mask: 0.4475, decode.d8.loss_dice: 0.6766, loss: 14.3989, grad_norm: 67.1672 2023-11-22 18:21:39,507 - mmseg - INFO - Iter [129650/160000] lr: 1.807e-06, eta: 4:56:24, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1711, decode.loss_mask: 0.4421, decode.loss_dice: 0.6627, decode.d0.loss_cls: 1.2437, decode.d0.loss_mask: 0.4744, decode.d0.loss_dice: 0.7290, decode.d1.loss_cls: 0.2452, decode.d1.loss_mask: 0.4579, decode.d1.loss_dice: 0.6947, decode.d2.loss_cls: 0.1999, decode.d2.loss_mask: 0.4497, decode.d2.loss_dice: 0.6801, decode.d3.loss_cls: 0.1845, decode.d3.loss_mask: 0.4460, decode.d3.loss_dice: 0.6704, decode.d4.loss_cls: 0.1783, decode.d4.loss_mask: 0.4442, decode.d4.loss_dice: 0.6671, decode.d5.loss_cls: 0.1732, decode.d5.loss_mask: 0.4434, decode.d5.loss_dice: 0.6648, decode.d6.loss_cls: 0.1752, decode.d6.loss_mask: 0.4423, decode.d6.loss_dice: 0.6634, decode.d7.loss_cls: 0.1699, decode.d7.loss_mask: 0.4421, decode.d7.loss_dice: 0.6620, decode.d8.loss_cls: 0.1649, decode.d8.loss_mask: 0.4421, decode.d8.loss_dice: 0.6654, loss: 14.1499, grad_norm: 65.6638 2023-11-22 18:22:07,759 - mmseg - INFO - Iter [129700/160000] lr: 1.804e-06, eta: 4:55:54, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1802, decode.loss_mask: 0.4443, decode.loss_dice: 0.6647, decode.d0.loss_cls: 1.2444, decode.d0.loss_mask: 0.4765, decode.d0.loss_dice: 0.7400, decode.d1.loss_cls: 0.2579, decode.d1.loss_mask: 0.4630, decode.d1.loss_dice: 0.6984, decode.d2.loss_cls: 0.2195, decode.d2.loss_mask: 0.4513, decode.d2.loss_dice: 0.6810, decode.d3.loss_cls: 0.2071, decode.d3.loss_mask: 0.4474, decode.d3.loss_dice: 0.6631, decode.d4.loss_cls: 0.1952, decode.d4.loss_mask: 0.4462, decode.d4.loss_dice: 0.6672, decode.d5.loss_cls: 0.1961, decode.d5.loss_mask: 0.4466, decode.d5.loss_dice: 0.6662, decode.d6.loss_cls: 0.1876, decode.d6.loss_mask: 0.4456, decode.d6.loss_dice: 0.6656, decode.d7.loss_cls: 0.1832, decode.d7.loss_mask: 0.4456, decode.d7.loss_dice: 0.6633, decode.d8.loss_cls: 0.1837, decode.d8.loss_mask: 0.4445, decode.d8.loss_dice: 0.6645, loss: 14.3399, grad_norm: 67.6334 2023-11-22 18:22:36,117 - mmseg - INFO - Iter [129750/160000] lr: 1.801e-06, eta: 4:55:25, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1795, decode.loss_mask: 0.4312, decode.loss_dice: 0.6485, decode.d0.loss_cls: 1.2574, decode.d0.loss_mask: 0.4613, decode.d0.loss_dice: 0.7190, decode.d1.loss_cls: 0.2497, decode.d1.loss_mask: 0.4451, decode.d1.loss_dice: 0.6772, decode.d2.loss_cls: 0.2115, decode.d2.loss_mask: 0.4379, decode.d2.loss_dice: 0.6700, decode.d3.loss_cls: 0.1904, decode.d3.loss_mask: 0.4355, decode.d3.loss_dice: 0.6572, decode.d4.loss_cls: 0.1891, decode.d4.loss_mask: 0.4340, decode.d4.loss_dice: 0.6534, decode.d5.loss_cls: 0.1857, decode.d5.loss_mask: 0.4341, decode.d5.loss_dice: 0.6548, decode.d6.loss_cls: 0.1797, decode.d6.loss_mask: 0.4330, decode.d6.loss_dice: 0.6483, decode.d7.loss_cls: 0.1759, decode.d7.loss_mask: 0.4333, decode.d7.loss_dice: 0.6511, decode.d8.loss_cls: 0.1780, decode.d8.loss_mask: 0.4319, decode.d8.loss_dice: 0.6494, loss: 14.0028, grad_norm: 69.3077 2023-11-22 18:23:04,805 - mmseg - INFO - Iter [129800/160000] lr: 1.798e-06, eta: 4:54:55, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1868, decode.loss_mask: 0.4591, decode.loss_dice: 0.6930, decode.d0.loss_cls: 1.2997, decode.d0.loss_mask: 0.4946, decode.d0.loss_dice: 0.7768, decode.d1.loss_cls: 0.2653, decode.d1.loss_mask: 0.4733, decode.d1.loss_dice: 0.7311, decode.d2.loss_cls: 0.2241, decode.d2.loss_mask: 0.4627, decode.d2.loss_dice: 0.7102, decode.d3.loss_cls: 0.2053, decode.d3.loss_mask: 0.4609, decode.d3.loss_dice: 0.6997, decode.d4.loss_cls: 0.1992, decode.d4.loss_mask: 0.4574, decode.d4.loss_dice: 0.6981, decode.d5.loss_cls: 0.1876, decode.d5.loss_mask: 0.4600, decode.d5.loss_dice: 0.7001, decode.d6.loss_cls: 0.1868, decode.d6.loss_mask: 0.4578, decode.d6.loss_dice: 0.6961, decode.d7.loss_cls: 0.1923, decode.d7.loss_mask: 0.4567, decode.d7.loss_dice: 0.6953, decode.d8.loss_cls: 0.1862, decode.d8.loss_mask: 0.4568, decode.d8.loss_dice: 0.6928, loss: 14.8657, grad_norm: 72.2791 2023-11-22 18:23:33,143 - mmseg - INFO - Iter [129850/160000] lr: 1.795e-06, eta: 4:54:26, time: 0.569, data_time: 0.016, memory: 38143, decode.loss_cls: 0.1688, decode.loss_mask: 0.4379, decode.loss_dice: 0.6671, decode.d0.loss_cls: 1.2592, decode.d0.loss_mask: 0.4729, decode.d0.loss_dice: 0.7370, decode.d1.loss_cls: 0.2460, decode.d1.loss_mask: 0.4530, decode.d1.loss_dice: 0.6913, decode.d2.loss_cls: 0.1988, decode.d2.loss_mask: 0.4447, decode.d2.loss_dice: 0.6804, decode.d3.loss_cls: 0.1793, decode.d3.loss_mask: 0.4426, decode.d3.loss_dice: 0.6710, decode.d4.loss_cls: 0.1768, decode.d4.loss_mask: 0.4411, decode.d4.loss_dice: 0.6691, decode.d5.loss_cls: 0.1707, decode.d5.loss_mask: 0.4405, decode.d5.loss_dice: 0.6680, decode.d6.loss_cls: 0.1706, decode.d6.loss_mask: 0.4390, decode.d6.loss_dice: 0.6616, decode.d7.loss_cls: 0.1655, decode.d7.loss_mask: 0.4393, decode.d7.loss_dice: 0.6610, decode.d8.loss_cls: 0.1682, decode.d8.loss_mask: 0.4388, decode.d8.loss_dice: 0.6622, loss: 14.1223, grad_norm: 63.9606 2023-11-22 18:24:01,381 - mmseg - INFO - Iter [129900/160000] lr: 1.792e-06, eta: 4:53:56, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1740, decode.loss_mask: 0.4428, decode.loss_dice: 0.6779, decode.d0.loss_cls: 1.2759, decode.d0.loss_mask: 0.4767, decode.d0.loss_dice: 0.7470, decode.d1.loss_cls: 0.2579, decode.d1.loss_mask: 0.4563, decode.d1.loss_dice: 0.7135, decode.d2.loss_cls: 0.2067, decode.d2.loss_mask: 0.4505, decode.d2.loss_dice: 0.6972, decode.d3.loss_cls: 0.1891, decode.d3.loss_mask: 0.4456, decode.d3.loss_dice: 0.6818, decode.d4.loss_cls: 0.1806, decode.d4.loss_mask: 0.4461, decode.d4.loss_dice: 0.6836, decode.d5.loss_cls: 0.1810, decode.d5.loss_mask: 0.4461, decode.d5.loss_dice: 0.6840, decode.d6.loss_cls: 0.1782, decode.d6.loss_mask: 0.4437, decode.d6.loss_dice: 0.6816, decode.d7.loss_cls: 0.1790, decode.d7.loss_mask: 0.4445, decode.d7.loss_dice: 0.6778, decode.d8.loss_cls: 0.1721, decode.d8.loss_mask: 0.4444, decode.d8.loss_dice: 0.6772, loss: 14.4124, grad_norm: 66.4616 2023-11-22 18:24:29,725 - mmseg - INFO - Iter [129950/160000] lr: 1.789e-06, eta: 4:53:27, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1904, decode.loss_mask: 0.4293, decode.loss_dice: 0.6776, decode.d0.loss_cls: 1.3088, decode.d0.loss_mask: 0.4624, decode.d0.loss_dice: 0.7512, decode.d1.loss_cls: 0.2678, decode.d1.loss_mask: 0.4438, decode.d1.loss_dice: 0.7145, decode.d2.loss_cls: 0.2159, decode.d2.loss_mask: 0.4385, decode.d2.loss_dice: 0.6933, decode.d3.loss_cls: 0.2053, decode.d3.loss_mask: 0.4333, decode.d3.loss_dice: 0.6827, decode.d4.loss_cls: 0.2034, decode.d4.loss_mask: 0.4305, decode.d4.loss_dice: 0.6783, decode.d5.loss_cls: 0.1970, decode.d5.loss_mask: 0.4305, decode.d5.loss_dice: 0.6792, decode.d6.loss_cls: 0.1959, decode.d6.loss_mask: 0.4305, decode.d6.loss_dice: 0.6774, decode.d7.loss_cls: 0.1932, decode.d7.loss_mask: 0.4296, decode.d7.loss_dice: 0.6744, decode.d8.loss_cls: 0.1892, decode.d8.loss_mask: 0.4299, decode.d8.loss_dice: 0.6775, loss: 14.4316, grad_norm: 62.2662 2023-11-22 18:24:58,087 - mmseg - INFO - Saving checkpoint at 130000 iterations 2023-11-22 18:25:05,869 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 18:25:05,869 - mmseg - INFO - Iter [130000/160000] lr: 1.786e-06, eta: 4:52:59, time: 0.723, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1773, decode.loss_mask: 0.4507, decode.loss_dice: 0.6736, decode.d0.loss_cls: 1.2854, decode.d0.loss_mask: 0.4859, decode.d0.loss_dice: 0.7411, decode.d1.loss_cls: 0.2569, decode.d1.loss_mask: 0.4717, decode.d1.loss_dice: 0.7033, decode.d2.loss_cls: 0.2112, decode.d2.loss_mask: 0.4573, decode.d2.loss_dice: 0.6871, decode.d3.loss_cls: 0.1963, decode.d3.loss_mask: 0.4533, decode.d3.loss_dice: 0.6788, decode.d4.loss_cls: 0.1856, decode.d4.loss_mask: 0.4532, decode.d4.loss_dice: 0.6776, decode.d5.loss_cls: 0.1867, decode.d5.loss_mask: 0.4525, decode.d5.loss_dice: 0.6707, decode.d6.loss_cls: 0.1793, decode.d6.loss_mask: 0.4514, decode.d6.loss_dice: 0.6756, decode.d7.loss_cls: 0.1744, decode.d7.loss_mask: 0.4534, decode.d7.loss_dice: 0.6763, decode.d8.loss_cls: 0.1786, decode.d8.loss_mask: 0.4514, decode.d8.loss_dice: 0.6716, loss: 14.4683, grad_norm: 65.0604 2023-11-22 18:25:25,219 - mmseg - INFO - per class results: 2023-11-22 18:25:25,224 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.93 | 88.24 | | building | 83.7 | 91.31 | | sky | 95.03 | 97.75 | | floor | 84.58 | 91.52 | | tree | 76.18 | 88.79 | | ceiling | 85.99 | 92.26 | | road | 85.22 | 92.95 | | bed | 92.04 | 96.07 | | windowpane | 65.32 | 81.25 | | grass | 69.69 | 82.29 | | cabinet | 61.53 | 75.05 | | sidewalk | 66.81 | 78.05 | | person | 86.52 | 93.8 | | earth | 40.0 | 55.94 | | door | 53.93 | 71.0 | | table | 72.06 | 84.18 | | mountain | 57.92 | 74.51 | | plant | 54.72 | 65.36 | | curtain | 75.74 | 88.94 | | chair | 65.43 | 76.37 | | car | 88.24 | 94.03 | | water | 59.59 | 74.3 | | painting | 76.35 | 91.07 | | sofa | 74.88 | 88.8 | | shelf | 42.18 | 55.01 | | house | 41.93 | 63.94 | | sea | 63.22 | 84.05 | | mirror | 74.46 | 83.49 | | rug | 68.03 | 79.68 | | field | 36.58 | 61.51 | | armchair | 50.44 | 71.19 | | seat | 64.57 | 85.13 | | fence | 54.88 | 70.26 | | desk | 55.27 | 80.78 | | rock | 52.58 | 68.52 | | wardrobe | 44.36 | 70.41 | | lamp | 74.5 | 83.57 | | bathtub | 80.68 | 87.1 | | railing | 38.36 | 52.0 | | cushion | 66.89 | 76.26 | | base | 42.58 | 64.34 | | box | 34.03 | 43.57 | | column | 52.44 | 67.64 | | signboard | 40.3 | 59.14 | | chest of drawers | 33.79 | 54.78 | | counter | 42.12 | 53.01 | | sand | 44.25 | 60.22 | | sink | 81.45 | 85.43 | | skyscraper | 60.9 | 77.16 | | fireplace | 73.72 | 90.1 | | refrigerator | 78.78 | 83.71 | | grandstand | 48.89 | 79.91 | | path | 21.96 | 38.52 | | stairs | 34.02 | 39.05 | | runway | 67.9 | 89.05 | | case | 59.81 | 85.99 | | pool table | 94.28 | 97.68 | | pillow | 65.46 | 78.0 | | screen door | 75.91 | 81.8 | | stairway | 35.96 | 52.0 | | river | 11.24 | 21.52 | | bridge | 79.85 | 91.55 | | bookcase | 28.12 | 48.76 | | blind | 42.36 | 47.66 | | coffee table | 71.77 | 87.01 | | toilet | 91.21 | 93.85 | | flower | 41.96 | 65.8 | | book | 52.98 | 74.51 | | hill | 7.41 | 14.05 | | bench | 63.45 | 71.89 | | countertop | 67.29 | 81.4 | | stove | 88.76 | 92.12 | | palm | 55.52 | 81.54 | | kitchen island | 51.93 | 79.77 | | computer | 74.24 | 82.29 | | swivel chair | 43.22 | 64.14 | | boat | 36.75 | 53.94 | | bar | 55.85 | 61.59 | | arcade machine | 76.34 | 80.77 | | hovel | 51.41 | 76.51 | | bus | 91.5 | 97.57 | | towel | 77.88 | 89.06 | | light | 67.59 | 81.36 | | truck | 45.67 | 52.32 | | tower | 30.53 | 50.68 | | chandelier | 72.45 | 88.69 | | awning | 40.35 | 56.69 | | streetlight | 48.38 | 66.4 | | booth | 51.82 | 69.75 | | television receiver | 80.77 | 88.26 | | airplane | 75.25 | 80.6 | | dirt track | 16.08 | 18.24 | | apparel | 45.1 | 68.2 | | pole | 38.02 | 61.28 | | land | 4.89 | 6.58 | | bannister | 21.47 | 35.15 | | escalator | 24.13 | 27.06 | | ottoman | 59.79 | 76.56 | | bottle | 43.57 | 71.81 | | buffet | 45.2 | 61.8 | | poster | 26.36 | 46.61 | | stage | 22.42 | 42.0 | | van | 45.49 | 71.34 | | ship | 13.27 | 20.37 | | fountain | 21.53 | 21.89 | | conveyer belt | 71.07 | 94.91 | | canopy | 28.78 | 51.66 | | washer | 70.84 | 74.42 | | plaything | 53.54 | 75.5 | | swimming pool | 66.11 | 72.61 | | stool | 56.06 | 70.1 | | barrel | 92.08 | 98.38 | | basket | 43.53 | 57.48 | | waterfall | 46.41 | 51.17 | | tent | 89.95 | 98.33 | | bag | 23.19 | 32.53 | | minibike | 72.66 | 90.41 | | cradle | 86.61 | 97.81 | | oven | 25.27 | 70.66 | | ball | 56.76 | 63.41 | | food | 58.57 | 67.09 | | step | 25.68 | 33.8 | | tank | 61.59 | 66.07 | | trade name | 32.58 | 40.46 | | microwave | 42.22 | 46.4 | | pot | 53.68 | 63.06 | | animal | 58.63 | 59.81 | | bicycle | 63.14 | 79.53 | | lake | 54.09 | 63.65 | | dishwasher | 82.19 | 88.4 | | screen | 59.88 | 95.17 | | blanket | 40.34 | 50.37 | | sculpture | 74.95 | 89.17 | | hood | 65.57 | 78.33 | | sconce | 59.97 | 77.22 | | vase | 57.07 | 73.62 | | traffic light | 48.24 | 73.48 | | tray | 18.35 | 28.41 | | ashcan | 53.7 | 77.0 | | fan | 70.76 | 86.75 | | pier | 13.95 | 14.64 | | crt screen | 3.3 | 9.97 | | plate | 63.7 | 83.09 | | monitor | 9.58 | 13.27 | | bulletin board | 55.93 | 81.39 | | shower | 7.81 | 26.84 | | radiator | 75.29 | 88.0 | | glass | 24.25 | 26.33 | | clock | 53.86 | 69.36 | | flag | 75.04 | 83.6 | +---------------------+-------+-------+ 2023-11-22 18:25:25,224 - mmseg - INFO - Summary: 2023-11-22 18:25:25,225 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.97 | 55.32 | 68.82 | +-------+-------+-------+ 2023-11-22 18:25:25,225 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 18:25:25,226 - mmseg - INFO - Iter(val) [250] aAcc: 0.8497, mIoU: 0.5532, mAcc: 0.6882, IoU.wall: 0.8093, IoU.building: 0.8370, IoU.sky: 0.9503, IoU.floor: 0.8458, IoU.tree: 0.7618, IoU.ceiling: 0.8599, IoU.road: 0.8522, IoU.bed : 0.9204, IoU.windowpane: 0.6532, IoU.grass: 0.6969, IoU.cabinet: 0.6153, IoU.sidewalk: 0.6681, IoU.person: 0.8652, IoU.earth: 0.4000, IoU.door: 0.5393, IoU.table: 0.7206, IoU.mountain: 0.5792, IoU.plant: 0.5472, IoU.curtain: 0.7574, IoU.chair: 0.6543, IoU.car: 0.8824, IoU.water: 0.5959, IoU.painting: 0.7635, IoU.sofa: 0.7488, IoU.shelf: 0.4218, IoU.house: 0.4193, IoU.sea: 0.6322, IoU.mirror: 0.7446, IoU.rug: 0.6803, IoU.field: 0.3658, IoU.armchair: 0.5044, IoU.seat: 0.6457, IoU.fence: 0.5488, IoU.desk: 0.5527, IoU.rock: 0.5258, IoU.wardrobe: 0.4436, IoU.lamp: 0.7450, IoU.bathtub: 0.8068, IoU.railing: 0.3836, IoU.cushion: 0.6689, IoU.base: 0.4258, IoU.box: 0.3403, IoU.column: 0.5244, IoU.signboard: 0.4030, IoU.chest of drawers: 0.3379, IoU.counter: 0.4212, IoU.sand: 0.4425, IoU.sink: 0.8145, IoU.skyscraper: 0.6090, IoU.fireplace: 0.7372, IoU.refrigerator: 0.7878, IoU.grandstand: 0.4889, IoU.path: 0.2196, IoU.stairs: 0.3402, IoU.runway: 0.6790, IoU.case: 0.5981, IoU.pool table: 0.9428, IoU.pillow: 0.6546, IoU.screen door: 0.7591, IoU.stairway: 0.3596, IoU.river: 0.1124, IoU.bridge: 0.7985, IoU.bookcase: 0.2812, IoU.blind: 0.4236, IoU.coffee table: 0.7177, IoU.toilet: 0.9121, IoU.flower: 0.4196, IoU.book: 0.5298, IoU.hill: 0.0741, IoU.bench: 0.6345, IoU.countertop: 0.6729, IoU.stove: 0.8876, IoU.palm: 0.5552, IoU.kitchen island: 0.5193, IoU.computer: 0.7424, IoU.swivel chair: 0.4322, IoU.boat: 0.3675, IoU.bar: 0.5585, IoU.arcade machine: 0.7634, IoU.hovel: 0.5141, IoU.bus: 0.9150, IoU.towel: 0.7788, IoU.light: 0.6759, IoU.truck: 0.4567, IoU.tower: 0.3053, IoU.chandelier: 0.7245, IoU.awning: 0.4035, IoU.streetlight: 0.4838, IoU.booth: 0.5182, IoU.television receiver: 0.8077, IoU.airplane: 0.7525, IoU.dirt track: 0.1608, IoU.apparel: 0.4510, IoU.pole: 0.3802, IoU.land: 0.0489, IoU.bannister: 0.2147, IoU.escalator: 0.2413, IoU.ottoman: 0.5979, IoU.bottle: 0.4357, IoU.buffet: 0.4520, IoU.poster: 0.2636, IoU.stage: 0.2242, IoU.van: 0.4549, IoU.ship: 0.1327, IoU.fountain: 0.2153, IoU.conveyer belt: 0.7107, IoU.canopy: 0.2878, IoU.washer: 0.7084, IoU.plaything: 0.5354, IoU.swimming pool: 0.6611, IoU.stool: 0.5606, IoU.barrel: 0.9208, IoU.basket: 0.4353, IoU.waterfall: 0.4641, IoU.tent: 0.8995, IoU.bag: 0.2319, IoU.minibike: 0.7266, IoU.cradle: 0.8661, IoU.oven: 0.2527, IoU.ball: 0.5676, IoU.food: 0.5857, IoU.step: 0.2568, IoU.tank: 0.6159, IoU.trade name: 0.3258, IoU.microwave: 0.4222, IoU.pot: 0.5368, IoU.animal: 0.5863, IoU.bicycle: 0.6314, IoU.lake: 0.5409, IoU.dishwasher: 0.8219, IoU.screen: 0.5988, IoU.blanket: 0.4034, IoU.sculpture: 0.7495, IoU.hood: 0.6557, IoU.sconce: 0.5997, IoU.vase: 0.5707, IoU.traffic light: 0.4824, IoU.tray: 0.1835, IoU.ashcan: 0.5370, IoU.fan: 0.7076, IoU.pier: 0.1395, IoU.crt screen: 0.0330, IoU.plate: 0.6370, IoU.monitor: 0.0958, IoU.bulletin board: 0.5593, IoU.shower: 0.0781, IoU.radiator: 0.7529, IoU.glass: 0.2425, IoU.clock: 0.5386, IoU.flag: 0.7504, Acc.wall: 0.8824, Acc.building: 0.9131, Acc.sky: 0.9775, Acc.floor: 0.9152, Acc.tree: 0.8879, Acc.ceiling: 0.9226, Acc.road: 0.9295, Acc.bed : 0.9607, Acc.windowpane: 0.8125, Acc.grass: 0.8229, Acc.cabinet: 0.7505, Acc.sidewalk: 0.7805, Acc.person: 0.9380, Acc.earth: 0.5594, Acc.door: 0.7100, Acc.table: 0.8418, Acc.mountain: 0.7451, Acc.plant: 0.6536, Acc.curtain: 0.8894, Acc.chair: 0.7637, Acc.car: 0.9403, Acc.water: 0.7430, Acc.painting: 0.9107, Acc.sofa: 0.8880, Acc.shelf: 0.5501, Acc.house: 0.6394, Acc.sea: 0.8405, Acc.mirror: 0.8349, Acc.rug: 0.7968, Acc.field: 0.6151, Acc.armchair: 0.7119, Acc.seat: 0.8513, Acc.fence: 0.7026, Acc.desk: 0.8078, Acc.rock: 0.6852, Acc.wardrobe: 0.7041, Acc.lamp: 0.8357, Acc.bathtub: 0.8710, Acc.railing: 0.5200, Acc.cushion: 0.7626, Acc.base: 0.6434, Acc.box: 0.4357, Acc.column: 0.6764, Acc.signboard: 0.5914, Acc.chest of drawers: 0.5478, Acc.counter: 0.5301, Acc.sand: 0.6022, Acc.sink: 0.8543, Acc.skyscraper: 0.7716, Acc.fireplace: 0.9010, Acc.refrigerator: 0.8371, Acc.grandstand: 0.7991, Acc.path: 0.3852, Acc.stairs: 0.3905, Acc.runway: 0.8905, Acc.case: 0.8599, Acc.pool table: 0.9768, Acc.pillow: 0.7800, Acc.screen door: 0.8180, Acc.stairway: 0.5200, Acc.river: 0.2152, Acc.bridge: 0.9155, Acc.bookcase: 0.4876, Acc.blind: 0.4766, Acc.coffee table: 0.8701, Acc.toilet: 0.9385, Acc.flower: 0.6580, Acc.book: 0.7451, Acc.hill: 0.1405, Acc.bench: 0.7189, Acc.countertop: 0.8140, Acc.stove: 0.9212, Acc.palm: 0.8154, Acc.kitchen island: 0.7977, Acc.computer: 0.8229, Acc.swivel chair: 0.6414, Acc.boat: 0.5394, Acc.bar: 0.6159, Acc.arcade machine: 0.8077, Acc.hovel: 0.7651, Acc.bus: 0.9757, Acc.towel: 0.8906, Acc.light: 0.8136, Acc.truck: 0.5232, Acc.tower: 0.5068, Acc.chandelier: 0.8869, Acc.awning: 0.5669, Acc.streetlight: 0.6640, Acc.booth: 0.6975, Acc.television receiver: 0.8826, Acc.airplane: 0.8060, Acc.dirt track: 0.1824, Acc.apparel: 0.6820, Acc.pole: 0.6128, Acc.land: 0.0658, Acc.bannister: 0.3515, Acc.escalator: 0.2706, Acc.ottoman: 0.7656, Acc.bottle: 0.7181, Acc.buffet: 0.6180, Acc.poster: 0.4661, Acc.stage: 0.4200, Acc.van: 0.7134, Acc.ship: 0.2037, Acc.fountain: 0.2189, Acc.conveyer belt: 0.9491, Acc.canopy: 0.5166, Acc.washer: 0.7442, Acc.plaything: 0.7550, Acc.swimming pool: 0.7261, Acc.stool: 0.7010, Acc.barrel: 0.9838, Acc.basket: 0.5748, Acc.waterfall: 0.5117, Acc.tent: 0.9833, Acc.bag: 0.3253, Acc.minibike: 0.9041, Acc.cradle: 0.9781, Acc.oven: 0.7066, Acc.ball: 0.6341, Acc.food: 0.6709, Acc.step: 0.3380, Acc.tank: 0.6607, Acc.trade name: 0.4046, Acc.microwave: 0.4640, Acc.pot: 0.6306, Acc.animal: 0.5981, Acc.bicycle: 0.7953, Acc.lake: 0.6365, Acc.dishwasher: 0.8840, Acc.screen: 0.9517, Acc.blanket: 0.5037, Acc.sculpture: 0.8917, Acc.hood: 0.7833, Acc.sconce: 0.7722, Acc.vase: 0.7362, Acc.traffic light: 0.7348, Acc.tray: 0.2841, Acc.ashcan: 0.7700, Acc.fan: 0.8675, Acc.pier: 0.1464, Acc.crt screen: 0.0997, Acc.plate: 0.8309, Acc.monitor: 0.1327, Acc.bulletin board: 0.8139, Acc.shower: 0.2684, Acc.radiator: 0.8800, Acc.glass: 0.2633, Acc.clock: 0.6936, Acc.flag: 0.8360 2023-11-22 18:25:53,900 - mmseg - INFO - Iter [130050/160000] lr: 1.783e-06, eta: 4:52:34, time: 0.961, data_time: 0.400, memory: 38143, decode.loss_cls: 0.1719, decode.loss_mask: 0.4345, decode.loss_dice: 0.6518, decode.d0.loss_cls: 1.2391, decode.d0.loss_mask: 0.4677, decode.d0.loss_dice: 0.7191, decode.d1.loss_cls: 0.2416, decode.d1.loss_mask: 0.4547, decode.d1.loss_dice: 0.6806, decode.d2.loss_cls: 0.2023, decode.d2.loss_mask: 0.4433, decode.d2.loss_dice: 0.6674, decode.d3.loss_cls: 0.1845, decode.d3.loss_mask: 0.4367, decode.d3.loss_dice: 0.6578, decode.d4.loss_cls: 0.1822, decode.d4.loss_mask: 0.4358, decode.d4.loss_dice: 0.6584, decode.d5.loss_cls: 0.1800, decode.d5.loss_mask: 0.4363, decode.d5.loss_dice: 0.6532, decode.d6.loss_cls: 0.1759, decode.d6.loss_mask: 0.4357, decode.d6.loss_dice: 0.6539, decode.d7.loss_cls: 0.1746, decode.d7.loss_mask: 0.4343, decode.d7.loss_dice: 0.6517, decode.d8.loss_cls: 0.1700, decode.d8.loss_mask: 0.4348, decode.d8.loss_dice: 0.6528, loss: 13.9828, grad_norm: 67.1025 2023-11-22 18:26:24,593 - mmseg - INFO - Iter [130100/160000] lr: 1.780e-06, eta: 4:52:05, time: 0.614, data_time: 0.059, memory: 38143, decode.loss_cls: 0.1822, decode.loss_mask: 0.4480, decode.loss_dice: 0.6893, decode.d0.loss_cls: 1.2706, decode.d0.loss_mask: 0.4802, decode.d0.loss_dice: 0.7648, decode.d1.loss_cls: 0.2702, decode.d1.loss_mask: 0.4600, decode.d1.loss_dice: 0.7291, decode.d2.loss_cls: 0.2207, decode.d2.loss_mask: 0.4537, decode.d2.loss_dice: 0.7066, decode.d3.loss_cls: 0.2001, decode.d3.loss_mask: 0.4519, decode.d3.loss_dice: 0.6964, decode.d4.loss_cls: 0.1960, decode.d4.loss_mask: 0.4485, decode.d4.loss_dice: 0.6946, decode.d5.loss_cls: 0.1942, decode.d5.loss_mask: 0.4487, decode.d5.loss_dice: 0.6878, decode.d6.loss_cls: 0.1911, decode.d6.loss_mask: 0.4481, decode.d6.loss_dice: 0.6892, decode.d7.loss_cls: 0.1825, decode.d7.loss_mask: 0.4489, decode.d7.loss_dice: 0.6929, decode.d8.loss_cls: 0.1843, decode.d8.loss_mask: 0.4487, decode.d8.loss_dice: 0.6905, loss: 14.6698, grad_norm: 67.9166 2023-11-22 18:26:52,867 - mmseg - INFO - Iter [130150/160000] lr: 1.777e-06, eta: 4:51:35, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1611, decode.loss_mask: 0.4358, decode.loss_dice: 0.6607, decode.d0.loss_cls: 1.2311, decode.d0.loss_mask: 0.4615, decode.d0.loss_dice: 0.7337, decode.d1.loss_cls: 0.2379, decode.d1.loss_mask: 0.4489, decode.d1.loss_dice: 0.6977, decode.d2.loss_cls: 0.1948, decode.d2.loss_mask: 0.4421, decode.d2.loss_dice: 0.6821, decode.d3.loss_cls: 0.1778, decode.d3.loss_mask: 0.4399, decode.d3.loss_dice: 0.6699, decode.d4.loss_cls: 0.1700, decode.d4.loss_mask: 0.4381, decode.d4.loss_dice: 0.6702, decode.d5.loss_cls: 0.1657, decode.d5.loss_mask: 0.4380, decode.d5.loss_dice: 0.6694, decode.d6.loss_cls: 0.1649, decode.d6.loss_mask: 0.4364, decode.d6.loss_dice: 0.6658, decode.d7.loss_cls: 0.1637, decode.d7.loss_mask: 0.4368, decode.d7.loss_dice: 0.6627, decode.d8.loss_cls: 0.1632, decode.d8.loss_mask: 0.4358, decode.d8.loss_dice: 0.6619, loss: 14.0177, grad_norm: 70.7529 2023-11-22 18:27:21,155 - mmseg - INFO - Iter [130200/160000] lr: 1.774e-06, eta: 4:51:06, time: 0.566, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1658, decode.loss_mask: 0.4331, decode.loss_dice: 0.6469, decode.d0.loss_cls: 1.2760, decode.d0.loss_mask: 0.4601, decode.d0.loss_dice: 0.7135, decode.d1.loss_cls: 0.2431, decode.d1.loss_mask: 0.4486, decode.d1.loss_dice: 0.6779, decode.d2.loss_cls: 0.1992, decode.d2.loss_mask: 0.4420, decode.d2.loss_dice: 0.6621, decode.d3.loss_cls: 0.1805, decode.d3.loss_mask: 0.4376, decode.d3.loss_dice: 0.6482, decode.d4.loss_cls: 0.1783, decode.d4.loss_mask: 0.4351, decode.d4.loss_dice: 0.6496, decode.d5.loss_cls: 0.1731, decode.d5.loss_mask: 0.4352, decode.d5.loss_dice: 0.6454, decode.d6.loss_cls: 0.1734, decode.d6.loss_mask: 0.4344, decode.d6.loss_dice: 0.6481, decode.d7.loss_cls: 0.1658, decode.d7.loss_mask: 0.4338, decode.d7.loss_dice: 0.6480, decode.d8.loss_cls: 0.1682, decode.d8.loss_mask: 0.4329, decode.d8.loss_dice: 0.6481, loss: 13.9039, grad_norm: 65.3455 2023-11-22 18:27:49,496 - mmseg - INFO - Iter [130250/160000] lr: 1.771e-06, eta: 4:50:36, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1640, decode.loss_mask: 0.4434, decode.loss_dice: 0.6798, decode.d0.loss_cls: 1.2704, decode.d0.loss_mask: 0.4775, decode.d0.loss_dice: 0.7559, decode.d1.loss_cls: 0.2388, decode.d1.loss_mask: 0.4621, decode.d1.loss_dice: 0.7127, decode.d2.loss_cls: 0.1946, decode.d2.loss_mask: 0.4500, decode.d2.loss_dice: 0.6981, decode.d3.loss_cls: 0.1808, decode.d3.loss_mask: 0.4472, decode.d3.loss_dice: 0.6862, decode.d4.loss_cls: 0.1789, decode.d4.loss_mask: 0.4458, decode.d4.loss_dice: 0.6824, decode.d5.loss_cls: 0.1744, decode.d5.loss_mask: 0.4447, decode.d5.loss_dice: 0.6838, decode.d6.loss_cls: 0.1684, decode.d6.loss_mask: 0.4454, decode.d6.loss_dice: 0.6790, decode.d7.loss_cls: 0.1672, decode.d7.loss_mask: 0.4438, decode.d7.loss_dice: 0.6779, decode.d8.loss_cls: 0.1641, decode.d8.loss_mask: 0.4438, decode.d8.loss_dice: 0.6794, loss: 14.3407, grad_norm: 73.9823 2023-11-22 18:28:17,742 - mmseg - INFO - Iter [130300/160000] lr: 1.768e-06, eta: 4:50:07, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1681, decode.loss_mask: 0.4467, decode.loss_dice: 0.6700, decode.d0.loss_cls: 1.2632, decode.d0.loss_mask: 0.4823, decode.d0.loss_dice: 0.7424, decode.d1.loss_cls: 0.2444, decode.d1.loss_mask: 0.4634, decode.d1.loss_dice: 0.7027, decode.d2.loss_cls: 0.1953, decode.d2.loss_mask: 0.4559, decode.d2.loss_dice: 0.6861, decode.d3.loss_cls: 0.1830, decode.d3.loss_mask: 0.4526, decode.d3.loss_dice: 0.6750, decode.d4.loss_cls: 0.1763, decode.d4.loss_mask: 0.4510, decode.d4.loss_dice: 0.6733, decode.d5.loss_cls: 0.1731, decode.d5.loss_mask: 0.4517, decode.d5.loss_dice: 0.6747, decode.d6.loss_cls: 0.1701, decode.d6.loss_mask: 0.4499, decode.d6.loss_dice: 0.6709, decode.d7.loss_cls: 0.1680, decode.d7.loss_mask: 0.4491, decode.d7.loss_dice: 0.6720, decode.d8.loss_cls: 0.1691, decode.d8.loss_mask: 0.4472, decode.d8.loss_dice: 0.6709, loss: 14.2985, grad_norm: 70.5503 2023-11-22 18:28:46,271 - mmseg - INFO - Iter [130350/160000] lr: 1.765e-06, eta: 4:49:37, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1671, decode.loss_mask: 0.4332, decode.loss_dice: 0.6603, decode.d0.loss_cls: 1.2345, decode.d0.loss_mask: 0.4654, decode.d0.loss_dice: 0.7250, decode.d1.loss_cls: 0.2379, decode.d1.loss_mask: 0.4497, decode.d1.loss_dice: 0.6902, decode.d2.loss_cls: 0.1974, decode.d2.loss_mask: 0.4394, decode.d2.loss_dice: 0.6721, decode.d3.loss_cls: 0.1847, decode.d3.loss_mask: 0.4362, decode.d3.loss_dice: 0.6579, decode.d4.loss_cls: 0.1781, decode.d4.loss_mask: 0.4362, decode.d4.loss_dice: 0.6588, decode.d5.loss_cls: 0.1733, decode.d5.loss_mask: 0.4358, decode.d5.loss_dice: 0.6622, decode.d6.loss_cls: 0.1708, decode.d6.loss_mask: 0.4352, decode.d6.loss_dice: 0.6603, decode.d7.loss_cls: 0.1725, decode.d7.loss_mask: 0.4334, decode.d7.loss_dice: 0.6599, decode.d8.loss_cls: 0.1694, decode.d8.loss_mask: 0.4324, decode.d8.loss_dice: 0.6582, loss: 13.9877, grad_norm: 63.9774 2023-11-22 18:29:14,737 - mmseg - INFO - Iter [130400/160000] lr: 1.762e-06, eta: 4:49:08, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1807, decode.loss_mask: 0.4359, decode.loss_dice: 0.6775, decode.d0.loss_cls: 1.2638, decode.d0.loss_mask: 0.4664, decode.d0.loss_dice: 0.7564, decode.d1.loss_cls: 0.2608, decode.d1.loss_mask: 0.4525, decode.d1.loss_dice: 0.7167, decode.d2.loss_cls: 0.2215, decode.d2.loss_mask: 0.4420, decode.d2.loss_dice: 0.6947, decode.d3.loss_cls: 0.2033, decode.d3.loss_mask: 0.4387, decode.d3.loss_dice: 0.6844, decode.d4.loss_cls: 0.1938, decode.d4.loss_mask: 0.4380, decode.d4.loss_dice: 0.6809, decode.d5.loss_cls: 0.1907, decode.d5.loss_mask: 0.4370, decode.d5.loss_dice: 0.6831, decode.d6.loss_cls: 0.1869, decode.d6.loss_mask: 0.4364, decode.d6.loss_dice: 0.6794, decode.d7.loss_cls: 0.1794, decode.d7.loss_mask: 0.4360, decode.d7.loss_dice: 0.6805, decode.d8.loss_cls: 0.1831, decode.d8.loss_mask: 0.4355, decode.d8.loss_dice: 0.6774, loss: 14.4133, grad_norm: 63.5901 2023-11-22 18:29:43,081 - mmseg - INFO - Iter [130450/160000] lr: 1.759e-06, eta: 4:48:38, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1834, decode.loss_mask: 0.4595, decode.loss_dice: 0.6769, decode.d0.loss_cls: 1.2418, decode.d0.loss_mask: 0.4946, decode.d0.loss_dice: 0.7440, decode.d1.loss_cls: 0.2574, decode.d1.loss_mask: 0.4749, decode.d1.loss_dice: 0.7044, decode.d2.loss_cls: 0.2144, decode.d2.loss_mask: 0.4674, decode.d2.loss_dice: 0.6939, decode.d3.loss_cls: 0.2078, decode.d3.loss_mask: 0.4632, decode.d3.loss_dice: 0.6779, decode.d4.loss_cls: 0.1931, decode.d4.loss_mask: 0.4612, decode.d4.loss_dice: 0.6796, decode.d5.loss_cls: 0.1842, decode.d5.loss_mask: 0.4609, decode.d5.loss_dice: 0.6812, decode.d6.loss_cls: 0.1845, decode.d6.loss_mask: 0.4614, decode.d6.loss_dice: 0.6759, decode.d7.loss_cls: 0.1886, decode.d7.loss_mask: 0.4593, decode.d7.loss_dice: 0.6800, decode.d8.loss_cls: 0.1874, decode.d8.loss_mask: 0.4585, decode.d8.loss_dice: 0.6788, loss: 14.5959, grad_norm: 69.8727 2023-11-22 18:30:11,368 - mmseg - INFO - Iter [130500/160000] lr: 1.756e-06, eta: 4:48:09, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1717, decode.loss_mask: 0.4439, decode.loss_dice: 0.6753, decode.d0.loss_cls: 1.2391, decode.d0.loss_mask: 0.4781, decode.d0.loss_dice: 0.7416, decode.d1.loss_cls: 0.2372, decode.d1.loss_mask: 0.4617, decode.d1.loss_dice: 0.7094, decode.d2.loss_cls: 0.1976, decode.d2.loss_mask: 0.4523, decode.d2.loss_dice: 0.6953, decode.d3.loss_cls: 0.1807, decode.d3.loss_mask: 0.4493, decode.d3.loss_dice: 0.6762, decode.d4.loss_cls: 0.1739, decode.d4.loss_mask: 0.4483, decode.d4.loss_dice: 0.6798, decode.d5.loss_cls: 0.1731, decode.d5.loss_mask: 0.4472, decode.d5.loss_dice: 0.6760, decode.d6.loss_cls: 0.1744, decode.d6.loss_mask: 0.4467, decode.d6.loss_dice: 0.6757, decode.d7.loss_cls: 0.1679, decode.d7.loss_mask: 0.4450, decode.d7.loss_dice: 0.6743, decode.d8.loss_cls: 0.1688, decode.d8.loss_mask: 0.4452, decode.d8.loss_dice: 0.6731, loss: 14.2789, grad_norm: 67.5558 2023-11-22 18:30:39,647 - mmseg - INFO - Iter [130550/160000] lr: 1.753e-06, eta: 4:47:39, time: 0.566, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1641, decode.loss_mask: 0.4451, decode.loss_dice: 0.6707, decode.d0.loss_cls: 1.2593, decode.d0.loss_mask: 0.4811, decode.d0.loss_dice: 0.7395, decode.d1.loss_cls: 0.2417, decode.d1.loss_mask: 0.4624, decode.d1.loss_dice: 0.6979, decode.d2.loss_cls: 0.1965, decode.d2.loss_mask: 0.4547, decode.d2.loss_dice: 0.6833, decode.d3.loss_cls: 0.1817, decode.d3.loss_mask: 0.4508, decode.d3.loss_dice: 0.6729, decode.d4.loss_cls: 0.1746, decode.d4.loss_mask: 0.4498, decode.d4.loss_dice: 0.6718, decode.d5.loss_cls: 0.1721, decode.d5.loss_mask: 0.4481, decode.d5.loss_dice: 0.6687, decode.d6.loss_cls: 0.1680, decode.d6.loss_mask: 0.4479, decode.d6.loss_dice: 0.6685, decode.d7.loss_cls: 0.1687, decode.d7.loss_mask: 0.4461, decode.d7.loss_dice: 0.6700, decode.d8.loss_cls: 0.1640, decode.d8.loss_mask: 0.4476, decode.d8.loss_dice: 0.6726, loss: 14.2402, grad_norm: 73.6333 2023-11-22 18:31:07,822 - mmseg - INFO - Iter [130600/160000] lr: 1.750e-06, eta: 4:47:10, time: 0.563, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1843, decode.loss_mask: 0.4379, decode.loss_dice: 0.6680, decode.d0.loss_cls: 1.2768, decode.d0.loss_mask: 0.4745, decode.d0.loss_dice: 0.7457, decode.d1.loss_cls: 0.2580, decode.d1.loss_mask: 0.4544, decode.d1.loss_dice: 0.7040, decode.d2.loss_cls: 0.2116, decode.d2.loss_mask: 0.4456, decode.d2.loss_dice: 0.6898, decode.d3.loss_cls: 0.2038, decode.d3.loss_mask: 0.4434, decode.d3.loss_dice: 0.6728, decode.d4.loss_cls: 0.1968, decode.d4.loss_mask: 0.4397, decode.d4.loss_dice: 0.6741, decode.d5.loss_cls: 0.1898, decode.d5.loss_mask: 0.4401, decode.d5.loss_dice: 0.6727, decode.d6.loss_cls: 0.1876, decode.d6.loss_mask: 0.4390, decode.d6.loss_dice: 0.6722, decode.d7.loss_cls: 0.1855, decode.d7.loss_mask: 0.4378, decode.d7.loss_dice: 0.6677, decode.d8.loss_cls: 0.1822, decode.d8.loss_mask: 0.4372, decode.d8.loss_dice: 0.6706, loss: 14.3639, grad_norm: 64.8885 2023-11-22 18:31:36,135 - mmseg - INFO - Iter [130650/160000] lr: 1.747e-06, eta: 4:46:40, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1804, decode.loss_mask: 0.4539, decode.loss_dice: 0.6490, decode.d0.loss_cls: 1.2548, decode.d0.loss_mask: 0.4874, decode.d0.loss_dice: 0.7200, decode.d1.loss_cls: 0.2583, decode.d1.loss_mask: 0.4675, decode.d1.loss_dice: 0.6808, decode.d2.loss_cls: 0.2091, decode.d2.loss_mask: 0.4593, decode.d2.loss_dice: 0.6651, decode.d3.loss_cls: 0.1969, decode.d3.loss_mask: 0.4567, decode.d3.loss_dice: 0.6502, decode.d4.loss_cls: 0.1885, decode.d4.loss_mask: 0.4541, decode.d4.loss_dice: 0.6528, decode.d5.loss_cls: 0.1852, decode.d5.loss_mask: 0.4566, decode.d5.loss_dice: 0.6536, decode.d6.loss_cls: 0.1827, decode.d6.loss_mask: 0.4538, decode.d6.loss_dice: 0.6501, decode.d7.loss_cls: 0.1802, decode.d7.loss_mask: 0.4535, decode.d7.loss_dice: 0.6495, decode.d8.loss_cls: 0.1822, decode.d8.loss_mask: 0.4539, decode.d8.loss_dice: 0.6532, loss: 14.2394, grad_norm: 73.2860 2023-11-22 18:32:04,742 - mmseg - INFO - Iter [130700/160000] lr: 1.744e-06, eta: 4:46:11, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1697, decode.loss_mask: 0.4478, decode.loss_dice: 0.6768, decode.d0.loss_cls: 1.2384, decode.d0.loss_mask: 0.4782, decode.d0.loss_dice: 0.7342, decode.d1.loss_cls: 0.2386, decode.d1.loss_mask: 0.4628, decode.d1.loss_dice: 0.7051, decode.d2.loss_cls: 0.1976, decode.d2.loss_mask: 0.4534, decode.d2.loss_dice: 0.6899, decode.d3.loss_cls: 0.1850, decode.d3.loss_mask: 0.4510, decode.d3.loss_dice: 0.6771, decode.d4.loss_cls: 0.1792, decode.d4.loss_mask: 0.4503, decode.d4.loss_dice: 0.6806, decode.d5.loss_cls: 0.1719, decode.d5.loss_mask: 0.4502, decode.d5.loss_dice: 0.6843, decode.d6.loss_cls: 0.1762, decode.d6.loss_mask: 0.4488, decode.d6.loss_dice: 0.6756, decode.d7.loss_cls: 0.1721, decode.d7.loss_mask: 0.4475, decode.d7.loss_dice: 0.6736, decode.d8.loss_cls: 0.1677, decode.d8.loss_mask: 0.4475, decode.d8.loss_dice: 0.6736, loss: 14.3047, grad_norm: 65.5983 2023-11-22 18:32:33,119 - mmseg - INFO - Iter [130750/160000] lr: 1.741e-06, eta: 4:45:41, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1779, decode.loss_mask: 0.4436, decode.loss_dice: 0.6796, decode.d0.loss_cls: 1.2675, decode.d0.loss_mask: 0.4767, decode.d0.loss_dice: 0.7499, decode.d1.loss_cls: 0.2559, decode.d1.loss_mask: 0.4579, decode.d1.loss_dice: 0.7100, decode.d2.loss_cls: 0.2152, decode.d2.loss_mask: 0.4491, decode.d2.loss_dice: 0.6925, decode.d3.loss_cls: 0.1963, decode.d3.loss_mask: 0.4447, decode.d3.loss_dice: 0.6824, decode.d4.loss_cls: 0.1922, decode.d4.loss_mask: 0.4448, decode.d4.loss_dice: 0.6829, decode.d5.loss_cls: 0.1850, decode.d5.loss_mask: 0.4455, decode.d5.loss_dice: 0.6826, decode.d6.loss_cls: 0.1858, decode.d6.loss_mask: 0.4447, decode.d6.loss_dice: 0.6781, decode.d7.loss_cls: 0.1816, decode.d7.loss_mask: 0.4441, decode.d7.loss_dice: 0.6801, decode.d8.loss_cls: 0.1847, decode.d8.loss_mask: 0.4435, decode.d8.loss_dice: 0.6798, loss: 14.4545, grad_norm: 67.9885 2023-11-22 18:33:01,385 - mmseg - INFO - Iter [130800/160000] lr: 1.738e-06, eta: 4:45:12, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1754, decode.loss_mask: 0.4381, decode.loss_dice: 0.6749, decode.d0.loss_cls: 1.2785, decode.d0.loss_mask: 0.4730, decode.d0.loss_dice: 0.7554, decode.d1.loss_cls: 0.2469, decode.d1.loss_mask: 0.4555, decode.d1.loss_dice: 0.7129, decode.d2.loss_cls: 0.2057, decode.d2.loss_mask: 0.4449, decode.d2.loss_dice: 0.6924, decode.d3.loss_cls: 0.1887, decode.d3.loss_mask: 0.4413, decode.d3.loss_dice: 0.6865, decode.d4.loss_cls: 0.1836, decode.d4.loss_mask: 0.4397, decode.d4.loss_dice: 0.6803, decode.d5.loss_cls: 0.1818, decode.d5.loss_mask: 0.4397, decode.d5.loss_dice: 0.6782, decode.d6.loss_cls: 0.1849, decode.d6.loss_mask: 0.4364, decode.d6.loss_dice: 0.6768, decode.d7.loss_cls: 0.1791, decode.d7.loss_mask: 0.4371, decode.d7.loss_dice: 0.6769, decode.d8.loss_cls: 0.1751, decode.d8.loss_mask: 0.4374, decode.d8.loss_dice: 0.6752, loss: 14.3523, grad_norm: 64.3458 2023-11-22 18:33:29,706 - mmseg - INFO - Iter [130850/160000] lr: 1.735e-06, eta: 4:44:42, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1773, decode.loss_mask: 0.4402, decode.loss_dice: 0.6698, decode.d0.loss_cls: 1.2550, decode.d0.loss_mask: 0.4670, decode.d0.loss_dice: 0.7444, decode.d1.loss_cls: 0.2542, decode.d1.loss_mask: 0.4531, decode.d1.loss_dice: 0.7054, decode.d2.loss_cls: 0.2100, decode.d2.loss_mask: 0.4451, decode.d2.loss_dice: 0.6887, decode.d3.loss_cls: 0.1944, decode.d3.loss_mask: 0.4419, decode.d3.loss_dice: 0.6733, decode.d4.loss_cls: 0.1876, decode.d4.loss_mask: 0.4415, decode.d4.loss_dice: 0.6733, decode.d5.loss_cls: 0.1842, decode.d5.loss_mask: 0.4407, decode.d5.loss_dice: 0.6736, decode.d6.loss_cls: 0.1818, decode.d6.loss_mask: 0.4418, decode.d6.loss_dice: 0.6721, decode.d7.loss_cls: 0.1775, decode.d7.loss_mask: 0.4422, decode.d7.loss_dice: 0.6728, decode.d8.loss_cls: 0.1748, decode.d8.loss_mask: 0.4421, decode.d8.loss_dice: 0.6694, loss: 14.2952, grad_norm: 69.4492 2023-11-22 18:33:58,212 - mmseg - INFO - Iter [130900/160000] lr: 1.732e-06, eta: 4:44:13, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1679, decode.loss_mask: 0.4322, decode.loss_dice: 0.6737, decode.d0.loss_cls: 1.2780, decode.d0.loss_mask: 0.4656, decode.d0.loss_dice: 0.7462, decode.d1.loss_cls: 0.2413, decode.d1.loss_mask: 0.4490, decode.d1.loss_dice: 0.7104, decode.d2.loss_cls: 0.1960, decode.d2.loss_mask: 0.4434, decode.d2.loss_dice: 0.6899, decode.d3.loss_cls: 0.1792, decode.d3.loss_mask: 0.4381, decode.d3.loss_dice: 0.6807, decode.d4.loss_cls: 0.1725, decode.d4.loss_mask: 0.4372, decode.d4.loss_dice: 0.6771, decode.d5.loss_cls: 0.1668, decode.d5.loss_mask: 0.4351, decode.d5.loss_dice: 0.6780, decode.d6.loss_cls: 0.1674, decode.d6.loss_mask: 0.4335, decode.d6.loss_dice: 0.6754, decode.d7.loss_cls: 0.1673, decode.d7.loss_mask: 0.4313, decode.d7.loss_dice: 0.6759, decode.d8.loss_cls: 0.1669, decode.d8.loss_mask: 0.4324, decode.d8.loss_dice: 0.6731, loss: 14.1815, grad_norm: 65.8858 2023-11-22 18:34:26,590 - mmseg - INFO - Iter [130950/160000] lr: 1.729e-06, eta: 4:43:43, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1582, decode.loss_mask: 0.4486, decode.loss_dice: 0.6572, decode.d0.loss_cls: 1.2431, decode.d0.loss_mask: 0.4822, decode.d0.loss_dice: 0.7264, decode.d1.loss_cls: 0.2356, decode.d1.loss_mask: 0.4669, decode.d1.loss_dice: 0.6932, decode.d2.loss_cls: 0.1882, decode.d2.loss_mask: 0.4594, decode.d2.loss_dice: 0.6791, decode.d3.loss_cls: 0.1715, decode.d3.loss_mask: 0.4497, decode.d3.loss_dice: 0.6663, decode.d4.loss_cls: 0.1685, decode.d4.loss_mask: 0.4492, decode.d4.loss_dice: 0.6652, decode.d5.loss_cls: 0.1656, decode.d5.loss_mask: 0.4484, decode.d5.loss_dice: 0.6652, decode.d6.loss_cls: 0.1625, decode.d6.loss_mask: 0.4477, decode.d6.loss_dice: 0.6585, decode.d7.loss_cls: 0.1593, decode.d7.loss_mask: 0.4483, decode.d7.loss_dice: 0.6581, decode.d8.loss_cls: 0.1572, decode.d8.loss_mask: 0.4489, decode.d8.loss_dice: 0.6597, loss: 14.0877, grad_norm: 69.7115 2023-11-22 18:34:55,180 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 18:34:55,181 - mmseg - INFO - Iter [131000/160000] lr: 1.726e-06, eta: 4:43:14, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1705, decode.loss_mask: 0.4356, decode.loss_dice: 0.6593, decode.d0.loss_cls: 1.2572, decode.d0.loss_mask: 0.4639, decode.d0.loss_dice: 0.7341, decode.d1.loss_cls: 0.2437, decode.d1.loss_mask: 0.4485, decode.d1.loss_dice: 0.6938, decode.d2.loss_cls: 0.2004, decode.d2.loss_mask: 0.4434, decode.d2.loss_dice: 0.6784, decode.d3.loss_cls: 0.1919, decode.d3.loss_mask: 0.4387, decode.d3.loss_dice: 0.6620, decode.d4.loss_cls: 0.1852, decode.d4.loss_mask: 0.4381, decode.d4.loss_dice: 0.6585, decode.d5.loss_cls: 0.1788, decode.d5.loss_mask: 0.4376, decode.d5.loss_dice: 0.6631, decode.d6.loss_cls: 0.1782, decode.d6.loss_mask: 0.4360, decode.d6.loss_dice: 0.6592, decode.d7.loss_cls: 0.1730, decode.d7.loss_mask: 0.4362, decode.d7.loss_dice: 0.6590, decode.d8.loss_cls: 0.1712, decode.d8.loss_mask: 0.4368, decode.d8.loss_dice: 0.6616, loss: 14.0937, grad_norm: 69.0744 2023-11-22 18:35:23,444 - mmseg - INFO - Iter [131050/160000] lr: 1.723e-06, eta: 4:42:44, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1902, decode.loss_mask: 0.4504, decode.loss_dice: 0.6914, decode.d0.loss_cls: 1.2942, decode.d0.loss_mask: 0.4895, decode.d0.loss_dice: 0.7609, decode.d1.loss_cls: 0.2767, decode.d1.loss_mask: 0.4646, decode.d1.loss_dice: 0.7262, decode.d2.loss_cls: 0.2300, decode.d2.loss_mask: 0.4579, decode.d2.loss_dice: 0.7046, decode.d3.loss_cls: 0.2089, decode.d3.loss_mask: 0.4540, decode.d3.loss_dice: 0.6982, decode.d4.loss_cls: 0.2060, decode.d4.loss_mask: 0.4534, decode.d4.loss_dice: 0.6895, decode.d5.loss_cls: 0.2015, decode.d5.loss_mask: 0.4521, decode.d5.loss_dice: 0.6936, decode.d6.loss_cls: 0.1981, decode.d6.loss_mask: 0.4503, decode.d6.loss_dice: 0.6881, decode.d7.loss_cls: 0.1952, decode.d7.loss_mask: 0.4490, decode.d7.loss_dice: 0.6873, decode.d8.loss_cls: 0.1932, decode.d8.loss_mask: 0.4499, decode.d8.loss_dice: 0.6910, loss: 14.7959, grad_norm: 71.6597 2023-11-22 18:35:51,710 - mmseg - INFO - Iter [131100/160000] lr: 1.720e-06, eta: 4:42:15, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1531, decode.loss_mask: 0.4540, decode.loss_dice: 0.6486, decode.d0.loss_cls: 1.2324, decode.d0.loss_mask: 0.4908, decode.d0.loss_dice: 0.7163, decode.d1.loss_cls: 0.2260, decode.d1.loss_mask: 0.4683, decode.d1.loss_dice: 0.6868, decode.d2.loss_cls: 0.1873, decode.d2.loss_mask: 0.4608, decode.d2.loss_dice: 0.6628, decode.d3.loss_cls: 0.1694, decode.d3.loss_mask: 0.4549, decode.d3.loss_dice: 0.6525, decode.d4.loss_cls: 0.1702, decode.d4.loss_mask: 0.4552, decode.d4.loss_dice: 0.6506, decode.d5.loss_cls: 0.1618, decode.d5.loss_mask: 0.4540, decode.d5.loss_dice: 0.6495, decode.d6.loss_cls: 0.1580, decode.d6.loss_mask: 0.4532, decode.d6.loss_dice: 0.6486, decode.d7.loss_cls: 0.1576, decode.d7.loss_mask: 0.4535, decode.d7.loss_dice: 0.6466, decode.d8.loss_cls: 0.1570, decode.d8.loss_mask: 0.4526, decode.d8.loss_dice: 0.6472, loss: 13.9795, grad_norm: 66.1077 2023-11-22 18:36:20,057 - mmseg - INFO - Iter [131150/160000] lr: 1.718e-06, eta: 4:41:45, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1735, decode.loss_mask: 0.4528, decode.loss_dice: 0.6917, decode.d0.loss_cls: 1.2675, decode.d0.loss_mask: 0.4858, decode.d0.loss_dice: 0.7621, decode.d1.loss_cls: 0.2647, decode.d1.loss_mask: 0.4684, decode.d1.loss_dice: 0.7258, decode.d2.loss_cls: 0.2142, decode.d2.loss_mask: 0.4600, decode.d2.loss_dice: 0.7123, decode.d3.loss_cls: 0.1958, decode.d3.loss_mask: 0.4572, decode.d3.loss_dice: 0.6999, decode.d4.loss_cls: 0.1871, decode.d4.loss_mask: 0.4573, decode.d4.loss_dice: 0.7033, decode.d5.loss_cls: 0.1862, decode.d5.loss_mask: 0.4544, decode.d5.loss_dice: 0.7004, decode.d6.loss_cls: 0.1797, decode.d6.loss_mask: 0.4542, decode.d6.loss_dice: 0.6954, decode.d7.loss_cls: 0.1833, decode.d7.loss_mask: 0.4531, decode.d7.loss_dice: 0.6903, decode.d8.loss_cls: 0.1744, decode.d8.loss_mask: 0.4533, decode.d8.loss_dice: 0.6972, loss: 14.7012, grad_norm: 70.2146 2023-11-22 18:36:48,230 - mmseg - INFO - Iter [131200/160000] lr: 1.715e-06, eta: 4:41:16, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1745, decode.loss_mask: 0.4663, decode.loss_dice: 0.6907, decode.d0.loss_cls: 1.2673, decode.d0.loss_mask: 0.4987, decode.d0.loss_dice: 0.7494, decode.d1.loss_cls: 0.2608, decode.d1.loss_mask: 0.4818, decode.d1.loss_dice: 0.7147, decode.d2.loss_cls: 0.2206, decode.d2.loss_mask: 0.4756, decode.d2.loss_dice: 0.7076, decode.d3.loss_cls: 0.2013, decode.d3.loss_mask: 0.4716, decode.d3.loss_dice: 0.6933, decode.d4.loss_cls: 0.1853, decode.d4.loss_mask: 0.4716, decode.d4.loss_dice: 0.6935, decode.d5.loss_cls: 0.1848, decode.d5.loss_mask: 0.4691, decode.d5.loss_dice: 0.6928, decode.d6.loss_cls: 0.1812, decode.d6.loss_mask: 0.4689, decode.d6.loss_dice: 0.6891, decode.d7.loss_cls: 0.1756, decode.d7.loss_mask: 0.4674, decode.d7.loss_dice: 0.6910, decode.d8.loss_cls: 0.1771, decode.d8.loss_mask: 0.4677, decode.d8.loss_dice: 0.6871, loss: 14.7765, grad_norm: 71.1766 2023-11-22 18:37:16,714 - mmseg - INFO - Iter [131250/160000] lr: 1.712e-06, eta: 4:40:46, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1701, decode.loss_mask: 0.4442, decode.loss_dice: 0.6718, decode.d0.loss_cls: 1.2490, decode.d0.loss_mask: 0.4813, decode.d0.loss_dice: 0.7441, decode.d1.loss_cls: 0.2490, decode.d1.loss_mask: 0.4646, decode.d1.loss_dice: 0.7046, decode.d2.loss_cls: 0.2040, decode.d2.loss_mask: 0.4527, decode.d2.loss_dice: 0.6878, decode.d3.loss_cls: 0.1865, decode.d3.loss_mask: 0.4494, decode.d3.loss_dice: 0.6773, decode.d4.loss_cls: 0.1840, decode.d4.loss_mask: 0.4493, decode.d4.loss_dice: 0.6776, decode.d5.loss_cls: 0.1789, decode.d5.loss_mask: 0.4470, decode.d5.loss_dice: 0.6734, decode.d6.loss_cls: 0.1756, decode.d6.loss_mask: 0.4447, decode.d6.loss_dice: 0.6704, decode.d7.loss_cls: 0.1722, decode.d7.loss_mask: 0.4438, decode.d7.loss_dice: 0.6717, decode.d8.loss_cls: 0.1701, decode.d8.loss_mask: 0.4445, decode.d8.loss_dice: 0.6738, loss: 14.3134, grad_norm: 69.3601 2023-11-22 18:37:45,187 - mmseg - INFO - Iter [131300/160000] lr: 1.709e-06, eta: 4:40:17, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1856, decode.loss_mask: 0.4505, decode.loss_dice: 0.6593, decode.d0.loss_cls: 1.2745, decode.d0.loss_mask: 0.4860, decode.d0.loss_dice: 0.7343, decode.d1.loss_cls: 0.2655, decode.d1.loss_mask: 0.4659, decode.d1.loss_dice: 0.6966, decode.d2.loss_cls: 0.2198, decode.d2.loss_mask: 0.4580, decode.d2.loss_dice: 0.6798, decode.d3.loss_cls: 0.2027, decode.d3.loss_mask: 0.4524, decode.d3.loss_dice: 0.6662, decode.d4.loss_cls: 0.2000, decode.d4.loss_mask: 0.4508, decode.d4.loss_dice: 0.6653, decode.d5.loss_cls: 0.1935, decode.d5.loss_mask: 0.4519, decode.d5.loss_dice: 0.6664, decode.d6.loss_cls: 0.1842, decode.d6.loss_mask: 0.4516, decode.d6.loss_dice: 0.6588, decode.d7.loss_cls: 0.1846, decode.d7.loss_mask: 0.4513, decode.d7.loss_dice: 0.6619, decode.d8.loss_cls: 0.1876, decode.d8.loss_mask: 0.4521, decode.d8.loss_dice: 0.6613, loss: 14.4184, grad_norm: 65.5506 2023-11-22 18:38:13,285 - mmseg - INFO - Iter [131350/160000] lr: 1.706e-06, eta: 4:39:47, time: 0.562, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1686, decode.loss_mask: 0.4387, decode.loss_dice: 0.6492, decode.d0.loss_cls: 1.2393, decode.d0.loss_mask: 0.4755, decode.d0.loss_dice: 0.7227, decode.d1.loss_cls: 0.2417, decode.d1.loss_mask: 0.4570, decode.d1.loss_dice: 0.6881, decode.d2.loss_cls: 0.1959, decode.d2.loss_mask: 0.4470, decode.d2.loss_dice: 0.6678, decode.d3.loss_cls: 0.1836, decode.d3.loss_mask: 0.4409, decode.d3.loss_dice: 0.6587, decode.d4.loss_cls: 0.1760, decode.d4.loss_mask: 0.4406, decode.d4.loss_dice: 0.6560, decode.d5.loss_cls: 0.1762, decode.d5.loss_mask: 0.4395, decode.d5.loss_dice: 0.6551, decode.d6.loss_cls: 0.1725, decode.d6.loss_mask: 0.4397, decode.d6.loss_dice: 0.6486, decode.d7.loss_cls: 0.1670, decode.d7.loss_mask: 0.4387, decode.d7.loss_dice: 0.6475, decode.d8.loss_cls: 0.1684, decode.d8.loss_mask: 0.4401, decode.d8.loss_dice: 0.6492, loss: 13.9897, grad_norm: 64.5514 2023-11-22 18:38:44,037 - mmseg - INFO - Iter [131400/160000] lr: 1.703e-06, eta: 4:39:18, time: 0.615, data_time: 0.060, memory: 38143, decode.loss_cls: 0.1643, decode.loss_mask: 0.4540, decode.loss_dice: 0.6769, decode.d0.loss_cls: 1.2415, decode.d0.loss_mask: 0.4935, decode.d0.loss_dice: 0.7488, decode.d1.loss_cls: 0.2412, decode.d1.loss_mask: 0.4752, decode.d1.loss_dice: 0.7152, decode.d2.loss_cls: 0.2035, decode.d2.loss_mask: 0.4638, decode.d2.loss_dice: 0.6987, decode.d3.loss_cls: 0.1859, decode.d3.loss_mask: 0.4580, decode.d3.loss_dice: 0.6802, decode.d4.loss_cls: 0.1818, decode.d4.loss_mask: 0.4570, decode.d4.loss_dice: 0.6817, decode.d5.loss_cls: 0.1711, decode.d5.loss_mask: 0.4567, decode.d5.loss_dice: 0.6825, decode.d6.loss_cls: 0.1662, decode.d6.loss_mask: 0.4558, decode.d6.loss_dice: 0.6772, decode.d7.loss_cls: 0.1654, decode.d7.loss_mask: 0.4551, decode.d7.loss_dice: 0.6756, decode.d8.loss_cls: 0.1610, decode.d8.loss_mask: 0.4549, decode.d8.loss_dice: 0.6771, loss: 14.4198, grad_norm: 65.6267 2023-11-22 18:39:12,479 - mmseg - INFO - Iter [131450/160000] lr: 1.700e-06, eta: 4:38:49, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1817, decode.loss_mask: 0.4440, decode.loss_dice: 0.6826, decode.d0.loss_cls: 1.2930, decode.d0.loss_mask: 0.4734, decode.d0.loss_dice: 0.7504, decode.d1.loss_cls: 0.2615, decode.d1.loss_mask: 0.4569, decode.d1.loss_dice: 0.7196, decode.d2.loss_cls: 0.2183, decode.d2.loss_mask: 0.4499, decode.d2.loss_dice: 0.6981, decode.d3.loss_cls: 0.1966, decode.d3.loss_mask: 0.4469, decode.d3.loss_dice: 0.6882, decode.d4.loss_cls: 0.1910, decode.d4.loss_mask: 0.4460, decode.d4.loss_dice: 0.6877, decode.d5.loss_cls: 0.1857, decode.d5.loss_mask: 0.4454, decode.d5.loss_dice: 0.6877, decode.d6.loss_cls: 0.1852, decode.d6.loss_mask: 0.4439, decode.d6.loss_dice: 0.6814, decode.d7.loss_cls: 0.1815, decode.d7.loss_mask: 0.4435, decode.d7.loss_dice: 0.6851, decode.d8.loss_cls: 0.1813, decode.d8.loss_mask: 0.4432, decode.d8.loss_dice: 0.6807, loss: 14.5305, grad_norm: 69.9950 2023-11-22 18:39:40,826 - mmseg - INFO - Iter [131500/160000] lr: 1.697e-06, eta: 4:38:19, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1624, decode.loss_mask: 0.4317, decode.loss_dice: 0.6714, decode.d0.loss_cls: 1.2333, decode.d0.loss_mask: 0.4614, decode.d0.loss_dice: 0.7292, decode.d1.loss_cls: 0.2367, decode.d1.loss_mask: 0.4466, decode.d1.loss_dice: 0.7051, decode.d2.loss_cls: 0.1856, decode.d2.loss_mask: 0.4386, decode.d2.loss_dice: 0.6859, decode.d3.loss_cls: 0.1751, decode.d3.loss_mask: 0.4334, decode.d3.loss_dice: 0.6746, decode.d4.loss_cls: 0.1741, decode.d4.loss_mask: 0.4324, decode.d4.loss_dice: 0.6738, decode.d5.loss_cls: 0.1703, decode.d5.loss_mask: 0.4316, decode.d5.loss_dice: 0.6740, decode.d6.loss_cls: 0.1683, decode.d6.loss_mask: 0.4318, decode.d6.loss_dice: 0.6718, decode.d7.loss_cls: 0.1638, decode.d7.loss_mask: 0.4314, decode.d7.loss_dice: 0.6723, decode.d8.loss_cls: 0.1627, decode.d8.loss_mask: 0.4316, decode.d8.loss_dice: 0.6690, loss: 14.0300, grad_norm: 67.2408 2023-11-22 18:40:09,323 - mmseg - INFO - Iter [131550/160000] lr: 1.694e-06, eta: 4:37:50, time: 0.572, data_time: 0.015, memory: 38143, decode.loss_cls: 0.1754, decode.loss_mask: 0.4363, decode.loss_dice: 0.6654, decode.d0.loss_cls: 1.2508, decode.d0.loss_mask: 0.4708, decode.d0.loss_dice: 0.7352, decode.d1.loss_cls: 0.2589, decode.d1.loss_mask: 0.4527, decode.d1.loss_dice: 0.6983, decode.d2.loss_cls: 0.2061, decode.d2.loss_mask: 0.4453, decode.d2.loss_dice: 0.6855, decode.d3.loss_cls: 0.1956, decode.d3.loss_mask: 0.4407, decode.d3.loss_dice: 0.6679, decode.d4.loss_cls: 0.1903, decode.d4.loss_mask: 0.4394, decode.d4.loss_dice: 0.6708, decode.d5.loss_cls: 0.1879, decode.d5.loss_mask: 0.4390, decode.d5.loss_dice: 0.6749, decode.d6.loss_cls: 0.1854, decode.d6.loss_mask: 0.4379, decode.d6.loss_dice: 0.6684, decode.d7.loss_cls: 0.1828, decode.d7.loss_mask: 0.4369, decode.d7.loss_dice: 0.6671, decode.d8.loss_cls: 0.1796, decode.d8.loss_mask: 0.4358, decode.d8.loss_dice: 0.6635, loss: 14.2444, grad_norm: 66.4967 2023-11-22 18:40:37,853 - mmseg - INFO - Iter [131600/160000] lr: 1.691e-06, eta: 4:37:20, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1707, decode.loss_mask: 0.4300, decode.loss_dice: 0.6498, decode.d0.loss_cls: 1.2260, decode.d0.loss_mask: 0.4616, decode.d0.loss_dice: 0.7172, decode.d1.loss_cls: 0.2347, decode.d1.loss_mask: 0.4426, decode.d1.loss_dice: 0.6802, decode.d2.loss_cls: 0.1938, decode.d2.loss_mask: 0.4352, decode.d2.loss_dice: 0.6678, decode.d3.loss_cls: 0.1796, decode.d3.loss_mask: 0.4339, decode.d3.loss_dice: 0.6530, decode.d4.loss_cls: 0.1778, decode.d4.loss_mask: 0.4333, decode.d4.loss_dice: 0.6547, decode.d5.loss_cls: 0.1698, decode.d5.loss_mask: 0.4330, decode.d5.loss_dice: 0.6552, decode.d6.loss_cls: 0.1732, decode.d6.loss_mask: 0.4293, decode.d6.loss_dice: 0.6477, decode.d7.loss_cls: 0.1677, decode.d7.loss_mask: 0.4303, decode.d7.loss_dice: 0.6490, decode.d8.loss_cls: 0.1657, decode.d8.loss_mask: 0.4300, decode.d8.loss_dice: 0.6513, loss: 13.8443, grad_norm: 59.4899 2023-11-22 18:41:06,167 - mmseg - INFO - Iter [131650/160000] lr: 1.688e-06, eta: 4:36:51, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1715, decode.loss_mask: 0.4402, decode.loss_dice: 0.6677, decode.d0.loss_cls: 1.2755, decode.d0.loss_mask: 0.4776, decode.d0.loss_dice: 0.7440, decode.d1.loss_cls: 0.2605, decode.d1.loss_mask: 0.4525, decode.d1.loss_dice: 0.7040, decode.d2.loss_cls: 0.2096, decode.d2.loss_mask: 0.4459, decode.d2.loss_dice: 0.6881, decode.d3.loss_cls: 0.1899, decode.d3.loss_mask: 0.4434, decode.d3.loss_dice: 0.6757, decode.d4.loss_cls: 0.1837, decode.d4.loss_mask: 0.4418, decode.d4.loss_dice: 0.6732, decode.d5.loss_cls: 0.1763, decode.d5.loss_mask: 0.4410, decode.d5.loss_dice: 0.6717, decode.d6.loss_cls: 0.1761, decode.d6.loss_mask: 0.4405, decode.d6.loss_dice: 0.6709, decode.d7.loss_cls: 0.1734, decode.d7.loss_mask: 0.4398, decode.d7.loss_dice: 0.6681, decode.d8.loss_cls: 0.1754, decode.d8.loss_mask: 0.4409, decode.d8.loss_dice: 0.6655, loss: 14.2847, grad_norm: 72.3626 2023-11-22 18:41:34,537 - mmseg - INFO - Iter [131700/160000] lr: 1.685e-06, eta: 4:36:21, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1700, decode.loss_mask: 0.4274, decode.loss_dice: 0.6723, decode.d0.loss_cls: 1.2895, decode.d0.loss_mask: 0.4610, decode.d0.loss_dice: 0.7364, decode.d1.loss_cls: 0.2429, decode.d1.loss_mask: 0.4409, decode.d1.loss_dice: 0.7039, decode.d2.loss_cls: 0.1978, decode.d2.loss_mask: 0.4334, decode.d2.loss_dice: 0.6909, decode.d3.loss_cls: 0.1823, decode.d3.loss_mask: 0.4306, decode.d3.loss_dice: 0.6777, decode.d4.loss_cls: 0.1777, decode.d4.loss_mask: 0.4302, decode.d4.loss_dice: 0.6799, decode.d5.loss_cls: 0.1788, decode.d5.loss_mask: 0.4303, decode.d5.loss_dice: 0.6796, decode.d6.loss_cls: 0.1748, decode.d6.loss_mask: 0.4281, decode.d6.loss_dice: 0.6760, decode.d7.loss_cls: 0.1711, decode.d7.loss_mask: 0.4291, decode.d7.loss_dice: 0.6766, decode.d8.loss_cls: 0.1699, decode.d8.loss_mask: 0.4269, decode.d8.loss_dice: 0.6726, loss: 14.1586, grad_norm: 61.4064 2023-11-22 18:42:02,869 - mmseg - INFO - Iter [131750/160000] lr: 1.682e-06, eta: 4:35:52, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1616, decode.loss_mask: 0.4563, decode.loss_dice: 0.6503, decode.d0.loss_cls: 1.1889, decode.d0.loss_mask: 0.4946, decode.d0.loss_dice: 0.7186, decode.d1.loss_cls: 0.2224, decode.d1.loss_mask: 0.4760, decode.d1.loss_dice: 0.6853, decode.d2.loss_cls: 0.1894, decode.d2.loss_mask: 0.4646, decode.d2.loss_dice: 0.6668, decode.d3.loss_cls: 0.1762, decode.d3.loss_mask: 0.4613, decode.d3.loss_dice: 0.6564, decode.d4.loss_cls: 0.1684, decode.d4.loss_mask: 0.4612, decode.d4.loss_dice: 0.6604, decode.d5.loss_cls: 0.1635, decode.d5.loss_mask: 0.4596, decode.d5.loss_dice: 0.6569, decode.d6.loss_cls: 0.1622, decode.d6.loss_mask: 0.4585, decode.d6.loss_dice: 0.6519, decode.d7.loss_cls: 0.1574, decode.d7.loss_mask: 0.4581, decode.d7.loss_dice: 0.6516, decode.d8.loss_cls: 0.1598, decode.d8.loss_mask: 0.4564, decode.d8.loss_dice: 0.6509, loss: 14.0453, grad_norm: 66.9056 2023-11-22 18:42:31,199 - mmseg - INFO - Iter [131800/160000] lr: 1.679e-06, eta: 4:35:22, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1716, decode.loss_mask: 0.4370, decode.loss_dice: 0.6709, decode.d0.loss_cls: 1.2512, decode.d0.loss_mask: 0.4744, decode.d0.loss_dice: 0.7555, decode.d1.loss_cls: 0.2466, decode.d1.loss_mask: 0.4532, decode.d1.loss_dice: 0.7061, decode.d2.loss_cls: 0.2067, decode.d2.loss_mask: 0.4450, decode.d2.loss_dice: 0.6882, decode.d3.loss_cls: 0.1910, decode.d3.loss_mask: 0.4408, decode.d3.loss_dice: 0.6761, decode.d4.loss_cls: 0.1868, decode.d4.loss_mask: 0.4386, decode.d4.loss_dice: 0.6755, decode.d5.loss_cls: 0.1820, decode.d5.loss_mask: 0.4404, decode.d5.loss_dice: 0.6747, decode.d6.loss_cls: 0.1759, decode.d6.loss_mask: 0.4374, decode.d6.loss_dice: 0.6714, decode.d7.loss_cls: 0.1759, decode.d7.loss_mask: 0.4381, decode.d7.loss_dice: 0.6696, decode.d8.loss_cls: 0.1699, decode.d8.loss_mask: 0.4372, decode.d8.loss_dice: 0.6701, loss: 14.2576, grad_norm: 66.7190 2023-11-22 18:42:59,708 - mmseg - INFO - Iter [131850/160000] lr: 1.676e-06, eta: 4:34:53, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1664, decode.loss_mask: 0.4269, decode.loss_dice: 0.6372, decode.d0.loss_cls: 1.2550, decode.d0.loss_mask: 0.4598, decode.d0.loss_dice: 0.7095, decode.d1.loss_cls: 0.2482, decode.d1.loss_mask: 0.4425, decode.d1.loss_dice: 0.6672, decode.d2.loss_cls: 0.2048, decode.d2.loss_mask: 0.4320, decode.d2.loss_dice: 0.6540, decode.d3.loss_cls: 0.1822, decode.d3.loss_mask: 0.4317, decode.d3.loss_dice: 0.6430, decode.d4.loss_cls: 0.1792, decode.d4.loss_mask: 0.4270, decode.d4.loss_dice: 0.6379, decode.d5.loss_cls: 0.1728, decode.d5.loss_mask: 0.4275, decode.d5.loss_dice: 0.6383, decode.d6.loss_cls: 0.1686, decode.d6.loss_mask: 0.4273, decode.d6.loss_dice: 0.6355, decode.d7.loss_cls: 0.1670, decode.d7.loss_mask: 0.4263, decode.d7.loss_dice: 0.6340, decode.d8.loss_cls: 0.1696, decode.d8.loss_mask: 0.4257, decode.d8.loss_dice: 0.6319, loss: 13.7290, grad_norm: 65.2236 2023-11-22 18:43:27,974 - mmseg - INFO - Iter [131900/160000] lr: 1.673e-06, eta: 4:34:23, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1866, decode.loss_mask: 0.4351, decode.loss_dice: 0.6798, decode.d0.loss_cls: 1.2826, decode.d0.loss_mask: 0.4692, decode.d0.loss_dice: 0.7496, decode.d1.loss_cls: 0.2691, decode.d1.loss_mask: 0.4538, decode.d1.loss_dice: 0.7068, decode.d2.loss_cls: 0.2224, decode.d2.loss_mask: 0.4446, decode.d2.loss_dice: 0.6912, decode.d3.loss_cls: 0.2026, decode.d3.loss_mask: 0.4400, decode.d3.loss_dice: 0.6785, decode.d4.loss_cls: 0.1951, decode.d4.loss_mask: 0.4398, decode.d4.loss_dice: 0.6803, decode.d5.loss_cls: 0.1876, decode.d5.loss_mask: 0.4382, decode.d5.loss_dice: 0.6800, decode.d6.loss_cls: 0.1898, decode.d6.loss_mask: 0.4380, decode.d6.loss_dice: 0.6795, decode.d7.loss_cls: 0.1847, decode.d7.loss_mask: 0.4375, decode.d7.loss_dice: 0.6772, decode.d8.loss_cls: 0.1847, decode.d8.loss_mask: 0.4349, decode.d8.loss_dice: 0.6796, loss: 14.4388, grad_norm: 69.8056 2023-11-22 18:43:56,151 - mmseg - INFO - Iter [131950/160000] lr: 1.670e-06, eta: 4:33:54, time: 0.564, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1701, decode.loss_mask: 0.4489, decode.loss_dice: 0.6554, decode.d0.loss_cls: 1.2242, decode.d0.loss_mask: 0.4798, decode.d0.loss_dice: 0.7262, decode.d1.loss_cls: 0.2336, decode.d1.loss_mask: 0.4630, decode.d1.loss_dice: 0.6934, decode.d2.loss_cls: 0.1977, decode.d2.loss_mask: 0.4565, decode.d2.loss_dice: 0.6743, decode.d3.loss_cls: 0.1876, decode.d3.loss_mask: 0.4505, decode.d3.loss_dice: 0.6634, decode.d4.loss_cls: 0.1865, decode.d4.loss_mask: 0.4490, decode.d4.loss_dice: 0.6622, decode.d5.loss_cls: 0.1755, decode.d5.loss_mask: 0.4487, decode.d5.loss_dice: 0.6603, decode.d6.loss_cls: 0.1739, decode.d6.loss_mask: 0.4490, decode.d6.loss_dice: 0.6587, decode.d7.loss_cls: 0.1708, decode.d7.loss_mask: 0.4482, decode.d7.loss_dice: 0.6553, decode.d8.loss_cls: 0.1673, decode.d8.loss_mask: 0.4501, decode.d8.loss_dice: 0.6586, loss: 14.1388, grad_norm: 69.9384 2023-11-22 18:44:24,468 - mmseg - INFO - Saving checkpoint at 132000 iterations 2023-11-22 18:44:32,737 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 18:44:32,738 - mmseg - INFO - Iter [132000/160000] lr: 1.667e-06, eta: 4:33:26, time: 0.732, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1811, decode.loss_mask: 0.4313, decode.loss_dice: 0.6651, decode.d0.loss_cls: 1.2828, decode.d0.loss_mask: 0.4629, decode.d0.loss_dice: 0.7351, decode.d1.loss_cls: 0.2607, decode.d1.loss_mask: 0.4445, decode.d1.loss_dice: 0.6982, decode.d2.loss_cls: 0.2187, decode.d2.loss_mask: 0.4386, decode.d2.loss_dice: 0.6829, decode.d3.loss_cls: 0.1985, decode.d3.loss_mask: 0.4364, decode.d3.loss_dice: 0.6740, decode.d4.loss_cls: 0.1985, decode.d4.loss_mask: 0.4347, decode.d4.loss_dice: 0.6716, decode.d5.loss_cls: 0.1902, decode.d5.loss_mask: 0.4335, decode.d5.loss_dice: 0.6720, decode.d6.loss_cls: 0.1883, decode.d6.loss_mask: 0.4329, decode.d6.loss_dice: 0.6658, decode.d7.loss_cls: 0.1863, decode.d7.loss_mask: 0.4336, decode.d7.loss_dice: 0.6679, decode.d8.loss_cls: 0.1871, decode.d8.loss_mask: 0.4305, decode.d8.loss_dice: 0.6645, loss: 14.2683, grad_norm: 64.8291 2023-11-22 18:44:52,153 - mmseg - INFO - per class results: 2023-11-22 18:44:52,162 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.89 | 88.41 | | building | 84.35 | 91.19 | | sky | 94.94 | 97.79 | | floor | 84.64 | 91.34 | | tree | 76.59 | 88.42 | | ceiling | 85.85 | 92.26 | | road | 86.4 | 92.21 | | bed | 91.89 | 95.84 | | windowpane | 65.97 | 80.95 | | grass | 69.79 | 81.93 | | cabinet | 63.03 | 74.37 | | sidewalk | 68.3 | 81.94 | | person | 86.34 | 93.97 | | earth | 38.11 | 52.97 | | door | 54.74 | 70.15 | | table | 68.57 | 84.99 | | mountain | 59.92 | 72.69 | | plant | 56.52 | 67.27 | | curtain | 74.07 | 88.01 | | chair | 66.06 | 76.96 | | car | 87.86 | 94.01 | | water | 55.64 | 69.94 | | painting | 75.51 | 90.77 | | sofa | 74.38 | 86.97 | | shelf | 45.75 | 59.58 | | house | 49.97 | 81.25 | | sea | 62.45 | 90.92 | | mirror | 75.3 | 83.21 | | rug | 67.92 | 80.98 | | field | 34.97 | 61.7 | | armchair | 49.82 | 71.01 | | seat | 66.4 | 86.66 | | fence | 54.54 | 71.46 | | desk | 57.14 | 80.28 | | rock | 47.98 | 63.45 | | wardrobe | 49.27 | 73.63 | | lamp | 73.97 | 83.63 | | bathtub | 79.61 | 86.02 | | railing | 38.64 | 54.59 | | cushion | 68.12 | 76.11 | | base | 42.07 | 67.8 | | box | 34.58 | 45.15 | | column | 53.22 | 70.45 | | signboard | 40.88 | 58.32 | | chest of drawers | 37.04 | 57.6 | | counter | 43.22 | 51.2 | | sand | 43.26 | 64.15 | | sink | 80.19 | 85.01 | | skyscraper | 60.95 | 77.68 | | fireplace | 77.05 | 89.87 | | refrigerator | 78.22 | 83.31 | | grandstand | 42.99 | 71.47 | | path | 20.56 | 38.27 | | stairs | 35.77 | 43.02 | | runway | 70.74 | 91.58 | | case | 61.15 | 86.26 | | pool table | 94.27 | 97.64 | | pillow | 65.53 | 78.2 | | screen door | 70.99 | 75.89 | | stairway | 38.88 | 52.13 | | river | 13.71 | 20.72 | | bridge | 76.89 | 91.12 | | bookcase | 31.57 | 52.46 | | blind | 48.72 | 58.32 | | coffee table | 73.27 | 85.72 | | toilet | 91.11 | 93.92 | | flower | 41.65 | 63.63 | | book | 52.27 | 76.17 | | hill | 7.08 | 14.47 | | bench | 64.04 | 72.51 | | countertop | 66.02 | 80.09 | | stove | 88.23 | 91.71 | | palm | 54.38 | 80.82 | | kitchen island | 45.5 | 74.64 | | computer | 74.66 | 83.86 | | swivel chair | 52.15 | 72.18 | | boat | 36.46 | 57.14 | | bar | 57.78 | 62.31 | | arcade machine | 75.94 | 80.38 | | hovel | 45.99 | 49.43 | | bus | 85.88 | 96.9 | | towel | 78.33 | 90.05 | | light | 65.58 | 77.87 | | truck | 29.02 | 34.69 | | tower | 43.95 | 74.61 | | chandelier | 73.02 | 87.89 | | awning | 38.82 | 54.64 | | streetlight | 48.2 | 65.67 | | booth | 53.09 | 69.75 | | television receiver | 76.69 | 89.69 | | airplane | 64.67 | 82.59 | | dirt track | 5.13 | 16.98 | | apparel | 49.03 | 67.96 | | pole | 38.26 | 64.59 | | land | 3.37 | 7.18 | | bannister | 22.28 | 33.05 | | escalator | 63.59 | 77.44 | | ottoman | 57.12 | 78.77 | | bottle | 42.39 | 71.07 | | buffet | 50.8 | 66.23 | | poster | 26.49 | 44.35 | | stage | 24.8 | 42.35 | | van | 49.28 | 71.88 | | ship | 10.14 | 14.88 | | fountain | 21.55 | 21.89 | | conveyer belt | 74.67 | 94.1 | | canopy | 28.64 | 51.9 | | washer | 70.7 | 74.3 | | plaything | 52.74 | 72.45 | | swimming pool | 63.1 | 64.47 | | stool | 57.84 | 76.66 | | barrel | 92.82 | 98.16 | | basket | 44.12 | 57.45 | | waterfall | 46.4 | 51.99 | | tent | 89.83 | 98.11 | | bag | 29.74 | 41.08 | | minibike | 70.92 | 91.25 | | cradle | 90.63 | 97.66 | | oven | 24.9 | 70.05 | | ball | 53.31 | 58.57 | | food | 57.47 | 63.07 | | step | 28.86 | 42.43 | | tank | 62.28 | 66.09 | | trade name | 37.34 | 47.67 | | microwave | 42.11 | 46.9 | | pot | 53.37 | 64.33 | | animal | 55.94 | 57.06 | | bicycle | 63.12 | 81.5 | | lake | 56.36 | 63.67 | | dishwasher | 82.05 | 88.11 | | screen | 58.49 | 91.74 | | blanket | 40.49 | 55.7 | | sculpture | 68.92 | 89.13 | | hood | 72.38 | 77.66 | | sconce | 61.39 | 74.64 | | vase | 54.13 | 74.97 | | traffic light | 49.31 | 73.59 | | tray | 17.95 | 27.04 | | ashcan | 52.81 | 79.38 | | fan | 70.92 | 85.04 | | pier | 15.74 | 16.64 | | crt screen | 3.23 | 9.87 | | plate | 62.76 | 83.72 | | monitor | 9.24 | 11.76 | | bulletin board | 57.32 | 77.73 | | shower | 4.26 | 24.69 | | radiator | 71.26 | 87.06 | | glass | 24.07 | 26.45 | | clock | 54.51 | 68.14 | | flag | 72.05 | 83.9 | +---------------------+-------+-------+ 2023-11-22 18:44:52,163 - mmseg - INFO - Summary: 2023-11-22 18:44:52,163 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.12 | 55.55 | 69.32 | +-------+-------+-------+ 2023-11-22 18:44:52,164 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 18:44:52,164 - mmseg - INFO - Iter(val) [250] aAcc: 0.8512, mIoU: 0.5555, mAcc: 0.6932, IoU.wall: 0.8089, IoU.building: 0.8435, IoU.sky: 0.9494, IoU.floor: 0.8464, IoU.tree: 0.7659, IoU.ceiling: 0.8585, IoU.road: 0.8640, IoU.bed : 0.9189, IoU.windowpane: 0.6597, IoU.grass: 0.6979, IoU.cabinet: 0.6303, IoU.sidewalk: 0.6830, IoU.person: 0.8634, IoU.earth: 0.3811, IoU.door: 0.5474, IoU.table: 0.6857, IoU.mountain: 0.5992, IoU.plant: 0.5652, IoU.curtain: 0.7407, IoU.chair: 0.6606, IoU.car: 0.8786, IoU.water: 0.5564, IoU.painting: 0.7551, IoU.sofa: 0.7438, IoU.shelf: 0.4575, IoU.house: 0.4997, IoU.sea: 0.6245, IoU.mirror: 0.7530, IoU.rug: 0.6792, IoU.field: 0.3497, IoU.armchair: 0.4982, IoU.seat: 0.6640, IoU.fence: 0.5454, IoU.desk: 0.5714, IoU.rock: 0.4798, IoU.wardrobe: 0.4927, IoU.lamp: 0.7397, IoU.bathtub: 0.7961, IoU.railing: 0.3864, IoU.cushion: 0.6812, IoU.base: 0.4207, IoU.box: 0.3458, IoU.column: 0.5322, IoU.signboard: 0.4088, IoU.chest of drawers: 0.3704, IoU.counter: 0.4322, IoU.sand: 0.4326, IoU.sink: 0.8019, IoU.skyscraper: 0.6095, IoU.fireplace: 0.7705, IoU.refrigerator: 0.7822, IoU.grandstand: 0.4299, IoU.path: 0.2056, IoU.stairs: 0.3577, IoU.runway: 0.7074, IoU.case: 0.6115, IoU.pool table: 0.9427, IoU.pillow: 0.6553, IoU.screen door: 0.7099, IoU.stairway: 0.3888, IoU.river: 0.1371, IoU.bridge: 0.7689, IoU.bookcase: 0.3157, IoU.blind: 0.4872, IoU.coffee table: 0.7327, IoU.toilet: 0.9111, IoU.flower: 0.4165, IoU.book: 0.5227, IoU.hill: 0.0708, IoU.bench: 0.6404, IoU.countertop: 0.6602, IoU.stove: 0.8823, IoU.palm: 0.5438, IoU.kitchen island: 0.4550, IoU.computer: 0.7466, IoU.swivel chair: 0.5215, IoU.boat: 0.3646, IoU.bar: 0.5778, IoU.arcade machine: 0.7594, IoU.hovel: 0.4599, IoU.bus: 0.8588, IoU.towel: 0.7833, IoU.light: 0.6558, IoU.truck: 0.2902, IoU.tower: 0.4395, IoU.chandelier: 0.7302, IoU.awning: 0.3882, IoU.streetlight: 0.4820, IoU.booth: 0.5309, IoU.television receiver: 0.7669, IoU.airplane: 0.6467, IoU.dirt track: 0.0513, IoU.apparel: 0.4903, IoU.pole: 0.3826, IoU.land: 0.0337, IoU.bannister: 0.2228, IoU.escalator: 0.6359, IoU.ottoman: 0.5712, IoU.bottle: 0.4239, IoU.buffet: 0.5080, IoU.poster: 0.2649, IoU.stage: 0.2480, IoU.van: 0.4928, IoU.ship: 0.1014, IoU.fountain: 0.2155, IoU.conveyer belt: 0.7467, IoU.canopy: 0.2864, IoU.washer: 0.7070, IoU.plaything: 0.5274, IoU.swimming pool: 0.6310, IoU.stool: 0.5784, IoU.barrel: 0.9282, IoU.basket: 0.4412, IoU.waterfall: 0.4640, IoU.tent: 0.8983, IoU.bag: 0.2974, IoU.minibike: 0.7092, IoU.cradle: 0.9063, IoU.oven: 0.2490, IoU.ball: 0.5331, IoU.food: 0.5747, IoU.step: 0.2886, IoU.tank: 0.6228, IoU.trade name: 0.3734, IoU.microwave: 0.4211, IoU.pot: 0.5337, IoU.animal: 0.5594, IoU.bicycle: 0.6312, IoU.lake: 0.5636, IoU.dishwasher: 0.8205, IoU.screen: 0.5849, IoU.blanket: 0.4049, IoU.sculpture: 0.6892, IoU.hood: 0.7238, IoU.sconce: 0.6139, IoU.vase: 0.5413, IoU.traffic light: 0.4931, IoU.tray: 0.1795, IoU.ashcan: 0.5281, IoU.fan: 0.7092, IoU.pier: 0.1574, IoU.crt screen: 0.0323, IoU.plate: 0.6276, IoU.monitor: 0.0924, IoU.bulletin board: 0.5732, IoU.shower: 0.0426, IoU.radiator: 0.7126, IoU.glass: 0.2407, IoU.clock: 0.5451, IoU.flag: 0.7205, Acc.wall: 0.8841, Acc.building: 0.9119, Acc.sky: 0.9779, Acc.floor: 0.9134, Acc.tree: 0.8842, Acc.ceiling: 0.9226, Acc.road: 0.9221, Acc.bed : 0.9584, Acc.windowpane: 0.8095, Acc.grass: 0.8193, Acc.cabinet: 0.7437, Acc.sidewalk: 0.8194, Acc.person: 0.9397, Acc.earth: 0.5297, Acc.door: 0.7015, Acc.table: 0.8499, Acc.mountain: 0.7269, Acc.plant: 0.6727, Acc.curtain: 0.8801, Acc.chair: 0.7696, Acc.car: 0.9401, Acc.water: 0.6994, Acc.painting: 0.9077, Acc.sofa: 0.8697, Acc.shelf: 0.5958, Acc.house: 0.8125, Acc.sea: 0.9092, Acc.mirror: 0.8321, Acc.rug: 0.8098, Acc.field: 0.6170, Acc.armchair: 0.7101, Acc.seat: 0.8666, Acc.fence: 0.7146, Acc.desk: 0.8028, Acc.rock: 0.6345, Acc.wardrobe: 0.7363, Acc.lamp: 0.8363, Acc.bathtub: 0.8602, Acc.railing: 0.5459, Acc.cushion: 0.7611, Acc.base: 0.6780, Acc.box: 0.4515, Acc.column: 0.7045, Acc.signboard: 0.5832, Acc.chest of drawers: 0.5760, Acc.counter: 0.5120, Acc.sand: 0.6415, Acc.sink: 0.8501, Acc.skyscraper: 0.7768, Acc.fireplace: 0.8987, Acc.refrigerator: 0.8331, Acc.grandstand: 0.7147, Acc.path: 0.3827, Acc.stairs: 0.4302, Acc.runway: 0.9158, Acc.case: 0.8626, Acc.pool table: 0.9764, Acc.pillow: 0.7820, Acc.screen door: 0.7589, Acc.stairway: 0.5213, Acc.river: 0.2072, Acc.bridge: 0.9112, Acc.bookcase: 0.5246, Acc.blind: 0.5832, Acc.coffee table: 0.8572, Acc.toilet: 0.9392, Acc.flower: 0.6363, Acc.book: 0.7617, Acc.hill: 0.1447, Acc.bench: 0.7251, Acc.countertop: 0.8009, Acc.stove: 0.9171, Acc.palm: 0.8082, Acc.kitchen island: 0.7464, Acc.computer: 0.8386, Acc.swivel chair: 0.7218, Acc.boat: 0.5714, Acc.bar: 0.6231, Acc.arcade machine: 0.8038, Acc.hovel: 0.4943, Acc.bus: 0.9690, Acc.towel: 0.9005, Acc.light: 0.7787, Acc.truck: 0.3469, Acc.tower: 0.7461, Acc.chandelier: 0.8789, Acc.awning: 0.5464, Acc.streetlight: 0.6567, Acc.booth: 0.6975, Acc.television receiver: 0.8969, Acc.airplane: 0.8259, Acc.dirt track: 0.1698, Acc.apparel: 0.6796, Acc.pole: 0.6459, Acc.land: 0.0718, Acc.bannister: 0.3305, Acc.escalator: 0.7744, Acc.ottoman: 0.7877, Acc.bottle: 0.7107, Acc.buffet: 0.6623, Acc.poster: 0.4435, Acc.stage: 0.4235, Acc.van: 0.7188, Acc.ship: 0.1488, Acc.fountain: 0.2189, Acc.conveyer belt: 0.9410, Acc.canopy: 0.5190, Acc.washer: 0.7430, Acc.plaything: 0.7245, Acc.swimming pool: 0.6447, Acc.stool: 0.7666, Acc.barrel: 0.9816, Acc.basket: 0.5745, Acc.waterfall: 0.5199, Acc.tent: 0.9811, Acc.bag: 0.4108, Acc.minibike: 0.9125, Acc.cradle: 0.9766, Acc.oven: 0.7005, Acc.ball: 0.5857, Acc.food: 0.6307, Acc.step: 0.4243, Acc.tank: 0.6609, Acc.trade name: 0.4767, Acc.microwave: 0.4690, Acc.pot: 0.6433, Acc.animal: 0.5706, Acc.bicycle: 0.8150, Acc.lake: 0.6367, Acc.dishwasher: 0.8811, Acc.screen: 0.9174, Acc.blanket: 0.5570, Acc.sculpture: 0.8913, Acc.hood: 0.7766, Acc.sconce: 0.7464, Acc.vase: 0.7497, Acc.traffic light: 0.7359, Acc.tray: 0.2704, Acc.ashcan: 0.7938, Acc.fan: 0.8504, Acc.pier: 0.1664, Acc.crt screen: 0.0987, Acc.plate: 0.8372, Acc.monitor: 0.1176, Acc.bulletin board: 0.7773, Acc.shower: 0.2469, Acc.radiator: 0.8706, Acc.glass: 0.2645, Acc.clock: 0.6814, Acc.flag: 0.8390 2023-11-22 18:45:20,651 - mmseg - INFO - Iter [132050/160000] lr: 1.664e-06, eta: 4:33:01, time: 0.958, data_time: 0.402, memory: 38143, decode.loss_cls: 0.1933, decode.loss_mask: 0.4377, decode.loss_dice: 0.6693, decode.d0.loss_cls: 1.3307, decode.d0.loss_mask: 0.4749, decode.d0.loss_dice: 0.7515, decode.d1.loss_cls: 0.2718, decode.d1.loss_mask: 0.4620, decode.d1.loss_dice: 0.7093, decode.d2.loss_cls: 0.2264, decode.d2.loss_mask: 0.4495, decode.d2.loss_dice: 0.6926, decode.d3.loss_cls: 0.2093, decode.d3.loss_mask: 0.4431, decode.d3.loss_dice: 0.6780, decode.d4.loss_cls: 0.2015, decode.d4.loss_mask: 0.4413, decode.d4.loss_dice: 0.6815, decode.d5.loss_cls: 0.1983, decode.d5.loss_mask: 0.4410, decode.d5.loss_dice: 0.6747, decode.d6.loss_cls: 0.2004, decode.d6.loss_mask: 0.4409, decode.d6.loss_dice: 0.6755, decode.d7.loss_cls: 0.1990, decode.d7.loss_mask: 0.4402, decode.d7.loss_dice: 0.6707, decode.d8.loss_cls: 0.1982, decode.d8.loss_mask: 0.4403, decode.d8.loss_dice: 0.6730, loss: 14.5760, grad_norm: 65.6964 2023-11-22 18:45:49,074 - mmseg - INFO - Iter [132100/160000] lr: 1.661e-06, eta: 4:32:31, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1713, decode.loss_mask: 0.4352, decode.loss_dice: 0.6665, decode.d0.loss_cls: 1.2508, decode.d0.loss_mask: 0.4664, decode.d0.loss_dice: 0.7355, decode.d1.loss_cls: 0.2500, decode.d1.loss_mask: 0.4538, decode.d1.loss_dice: 0.7035, decode.d2.loss_cls: 0.2036, decode.d2.loss_mask: 0.4413, decode.d2.loss_dice: 0.6842, decode.d3.loss_cls: 0.1883, decode.d3.loss_mask: 0.4376, decode.d3.loss_dice: 0.6712, decode.d4.loss_cls: 0.1821, decode.d4.loss_mask: 0.4381, decode.d4.loss_dice: 0.6707, decode.d5.loss_cls: 0.1796, decode.d5.loss_mask: 0.4370, decode.d5.loss_dice: 0.6686, decode.d6.loss_cls: 0.1763, decode.d6.loss_mask: 0.4360, decode.d6.loss_dice: 0.6686, decode.d7.loss_cls: 0.1718, decode.d7.loss_mask: 0.4362, decode.d7.loss_dice: 0.6641, decode.d8.loss_cls: 0.1725, decode.d8.loss_mask: 0.4363, decode.d8.loss_dice: 0.6658, loss: 14.1629, grad_norm: 63.0312 2023-11-22 18:46:17,580 - mmseg - INFO - Iter [132150/160000] lr: 1.658e-06, eta: 4:32:02, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1688, decode.loss_mask: 0.4409, decode.loss_dice: 0.6607, decode.d0.loss_cls: 1.2854, decode.d0.loss_mask: 0.4745, decode.d0.loss_dice: 0.7335, decode.d1.loss_cls: 0.2453, decode.d1.loss_mask: 0.4577, decode.d1.loss_dice: 0.7001, decode.d2.loss_cls: 0.2037, decode.d2.loss_mask: 0.4525, decode.d2.loss_dice: 0.6787, decode.d3.loss_cls: 0.1903, decode.d3.loss_mask: 0.4454, decode.d3.loss_dice: 0.6641, decode.d4.loss_cls: 0.1822, decode.d4.loss_mask: 0.4452, decode.d4.loss_dice: 0.6611, decode.d5.loss_cls: 0.1769, decode.d5.loss_mask: 0.4434, decode.d5.loss_dice: 0.6585, decode.d6.loss_cls: 0.1756, decode.d6.loss_mask: 0.4400, decode.d6.loss_dice: 0.6567, decode.d7.loss_cls: 0.1734, decode.d7.loss_mask: 0.4412, decode.d7.loss_dice: 0.6586, decode.d8.loss_cls: 0.1719, decode.d8.loss_mask: 0.4402, decode.d8.loss_dice: 0.6553, loss: 14.1817, grad_norm: 70.2675 2023-11-22 18:46:45,995 - mmseg - INFO - Iter [132200/160000] lr: 1.655e-06, eta: 4:31:32, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1778, decode.loss_mask: 0.4662, decode.loss_dice: 0.6947, decode.d0.loss_cls: 1.2916, decode.d0.loss_mask: 0.5002, decode.d0.loss_dice: 0.7731, decode.d1.loss_cls: 0.2622, decode.d1.loss_mask: 0.4815, decode.d1.loss_dice: 0.7320, decode.d2.loss_cls: 0.2155, decode.d2.loss_mask: 0.4722, decode.d2.loss_dice: 0.7111, decode.d3.loss_cls: 0.1964, decode.d3.loss_mask: 0.4673, decode.d3.loss_dice: 0.6992, decode.d4.loss_cls: 0.1886, decode.d4.loss_mask: 0.4675, decode.d4.loss_dice: 0.7008, decode.d5.loss_cls: 0.1833, decode.d5.loss_mask: 0.4692, decode.d5.loss_dice: 0.6964, decode.d6.loss_cls: 0.1846, decode.d6.loss_mask: 0.4667, decode.d6.loss_dice: 0.6959, decode.d7.loss_cls: 0.1823, decode.d7.loss_mask: 0.4678, decode.d7.loss_dice: 0.6991, decode.d8.loss_cls: 0.1825, decode.d8.loss_mask: 0.4672, decode.d8.loss_dice: 0.6950, loss: 14.8877, grad_norm: 64.6766 2023-11-22 18:47:14,277 - mmseg - INFO - Iter [132250/160000] lr: 1.652e-06, eta: 4:31:03, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1783, decode.loss_mask: 0.4324, decode.loss_dice: 0.6543, decode.d0.loss_cls: 1.2465, decode.d0.loss_mask: 0.4681, decode.d0.loss_dice: 0.7320, decode.d1.loss_cls: 0.2463, decode.d1.loss_mask: 0.4467, decode.d1.loss_dice: 0.6894, decode.d2.loss_cls: 0.2107, decode.d2.loss_mask: 0.4395, decode.d2.loss_dice: 0.6747, decode.d3.loss_cls: 0.1902, decode.d3.loss_mask: 0.4379, decode.d3.loss_dice: 0.6615, decode.d4.loss_cls: 0.1838, decode.d4.loss_mask: 0.4359, decode.d4.loss_dice: 0.6655, decode.d5.loss_cls: 0.1846, decode.d5.loss_mask: 0.4346, decode.d5.loss_dice: 0.6613, decode.d6.loss_cls: 0.1757, decode.d6.loss_mask: 0.4350, decode.d6.loss_dice: 0.6598, decode.d7.loss_cls: 0.1800, decode.d7.loss_mask: 0.4345, decode.d7.loss_dice: 0.6574, decode.d8.loss_cls: 0.1766, decode.d8.loss_mask: 0.4335, decode.d8.loss_dice: 0.6603, loss: 14.0871, grad_norm: 67.2531 2023-11-22 18:47:42,698 - mmseg - INFO - Iter [132300/160000] lr: 1.649e-06, eta: 4:30:33, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1813, decode.loss_mask: 0.4312, decode.loss_dice: 0.6782, decode.d0.loss_cls: 1.2525, decode.d0.loss_mask: 0.4628, decode.d0.loss_dice: 0.7542, decode.d1.loss_cls: 0.2584, decode.d1.loss_mask: 0.4478, decode.d1.loss_dice: 0.7170, decode.d2.loss_cls: 0.2175, decode.d2.loss_mask: 0.4375, decode.d2.loss_dice: 0.7000, decode.d3.loss_cls: 0.2056, decode.d3.loss_mask: 0.4353, decode.d3.loss_dice: 0.6852, decode.d4.loss_cls: 0.1931, decode.d4.loss_mask: 0.4352, decode.d4.loss_dice: 0.6859, decode.d5.loss_cls: 0.1917, decode.d5.loss_mask: 0.4344, decode.d5.loss_dice: 0.6840, decode.d6.loss_cls: 0.1880, decode.d6.loss_mask: 0.4319, decode.d6.loss_dice: 0.6860, decode.d7.loss_cls: 0.1826, decode.d7.loss_mask: 0.4319, decode.d7.loss_dice: 0.6836, decode.d8.loss_cls: 0.1810, decode.d8.loss_mask: 0.4315, decode.d8.loss_dice: 0.6805, loss: 14.3862, grad_norm: 65.6134 2023-11-22 18:48:11,152 - mmseg - INFO - Iter [132350/160000] lr: 1.646e-06, eta: 4:30:04, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1552, decode.loss_mask: 0.4524, decode.loss_dice: 0.6962, decode.d0.loss_cls: 1.2499, decode.d0.loss_mask: 0.4848, decode.d0.loss_dice: 0.7565, decode.d1.loss_cls: 0.2365, decode.d1.loss_mask: 0.4670, decode.d1.loss_dice: 0.7235, decode.d2.loss_cls: 0.1937, decode.d2.loss_mask: 0.4571, decode.d2.loss_dice: 0.7098, decode.d3.loss_cls: 0.1743, decode.d3.loss_mask: 0.4546, decode.d3.loss_dice: 0.6967, decode.d4.loss_cls: 0.1641, decode.d4.loss_mask: 0.4543, decode.d4.loss_dice: 0.6976, decode.d5.loss_cls: 0.1625, decode.d5.loss_mask: 0.4520, decode.d5.loss_dice: 0.6962, decode.d6.loss_cls: 0.1621, decode.d6.loss_mask: 0.4521, decode.d6.loss_dice: 0.6904, decode.d7.loss_cls: 0.1542, decode.d7.loss_mask: 0.4514, decode.d7.loss_dice: 0.6951, decode.d8.loss_cls: 0.1597, decode.d8.loss_mask: 0.4511, decode.d8.loss_dice: 0.6909, loss: 14.4420, grad_norm: 63.3489 2023-11-22 18:48:39,722 - mmseg - INFO - Iter [132400/160000] lr: 1.643e-06, eta: 4:29:34, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1863, decode.loss_mask: 0.4310, decode.loss_dice: 0.6903, decode.d0.loss_cls: 1.3126, decode.d0.loss_mask: 0.4644, decode.d0.loss_dice: 0.7677, decode.d1.loss_cls: 0.2642, decode.d1.loss_mask: 0.4457, decode.d1.loss_dice: 0.7155, decode.d2.loss_cls: 0.2161, decode.d2.loss_mask: 0.4376, decode.d2.loss_dice: 0.7019, decode.d3.loss_cls: 0.2061, decode.d3.loss_mask: 0.4341, decode.d3.loss_dice: 0.6946, decode.d4.loss_cls: 0.1961, decode.d4.loss_mask: 0.4332, decode.d4.loss_dice: 0.6932, decode.d5.loss_cls: 0.1896, decode.d5.loss_mask: 0.4351, decode.d5.loss_dice: 0.6967, decode.d6.loss_cls: 0.1926, decode.d6.loss_mask: 0.4334, decode.d6.loss_dice: 0.6904, decode.d7.loss_cls: 0.1875, decode.d7.loss_mask: 0.4326, decode.d7.loss_dice: 0.6914, decode.d8.loss_cls: 0.1871, decode.d8.loss_mask: 0.4311, decode.d8.loss_dice: 0.6893, loss: 14.5476, grad_norm: 64.7839 2023-11-22 18:49:08,066 - mmseg - INFO - Iter [132450/160000] lr: 1.640e-06, eta: 4:29:05, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1650, decode.loss_mask: 0.4522, decode.loss_dice: 0.6493, decode.d0.loss_cls: 1.2443, decode.d0.loss_mask: 0.4864, decode.d0.loss_dice: 0.7209, decode.d1.loss_cls: 0.2328, decode.d1.loss_mask: 0.4717, decode.d1.loss_dice: 0.6888, decode.d2.loss_cls: 0.1975, decode.d2.loss_mask: 0.4619, decode.d2.loss_dice: 0.6741, decode.d3.loss_cls: 0.1870, decode.d3.loss_mask: 0.4566, decode.d3.loss_dice: 0.6579, decode.d4.loss_cls: 0.1781, decode.d4.loss_mask: 0.4553, decode.d4.loss_dice: 0.6585, decode.d5.loss_cls: 0.1768, decode.d5.loss_mask: 0.4537, decode.d5.loss_dice: 0.6573, decode.d6.loss_cls: 0.1694, decode.d6.loss_mask: 0.4539, decode.d6.loss_dice: 0.6545, decode.d7.loss_cls: 0.1696, decode.d7.loss_mask: 0.4524, decode.d7.loss_dice: 0.6524, decode.d8.loss_cls: 0.1677, decode.d8.loss_mask: 0.4520, decode.d8.loss_dice: 0.6548, loss: 14.1531, grad_norm: 67.0893 2023-11-22 18:49:36,363 - mmseg - INFO - Iter [132500/160000] lr: 1.637e-06, eta: 4:28:35, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1703, decode.loss_mask: 0.4372, decode.loss_dice: 0.6613, decode.d0.loss_cls: 1.2781, decode.d0.loss_mask: 0.4699, decode.d0.loss_dice: 0.7417, decode.d1.loss_cls: 0.2516, decode.d1.loss_mask: 0.4495, decode.d1.loss_dice: 0.6964, decode.d2.loss_cls: 0.2016, decode.d2.loss_mask: 0.4440, decode.d2.loss_dice: 0.6845, decode.d3.loss_cls: 0.1865, decode.d3.loss_mask: 0.4406, decode.d3.loss_dice: 0.6679, decode.d4.loss_cls: 0.1826, decode.d4.loss_mask: 0.4361, decode.d4.loss_dice: 0.6645, decode.d5.loss_cls: 0.1772, decode.d5.loss_mask: 0.4383, decode.d5.loss_dice: 0.6681, decode.d6.loss_cls: 0.1753, decode.d6.loss_mask: 0.4373, decode.d6.loss_dice: 0.6663, decode.d7.loss_cls: 0.1754, decode.d7.loss_mask: 0.4371, decode.d7.loss_dice: 0.6678, decode.d8.loss_cls: 0.1719, decode.d8.loss_mask: 0.4360, decode.d8.loss_dice: 0.6658, loss: 14.1810, grad_norm: 67.5202 2023-11-22 18:50:04,478 - mmseg - INFO - Iter [132550/160000] lr: 1.634e-06, eta: 4:28:06, time: 0.562, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1677, decode.loss_mask: 0.4453, decode.loss_dice: 0.6675, decode.d0.loss_cls: 1.2208, decode.d0.loss_mask: 0.4830, decode.d0.loss_dice: 0.7394, decode.d1.loss_cls: 0.2465, decode.d1.loss_mask: 0.4644, decode.d1.loss_dice: 0.6938, decode.d2.loss_cls: 0.2048, decode.d2.loss_mask: 0.4517, decode.d2.loss_dice: 0.6796, decode.d3.loss_cls: 0.1867, decode.d3.loss_mask: 0.4482, decode.d3.loss_dice: 0.6644, decode.d4.loss_cls: 0.1777, decode.d4.loss_mask: 0.4468, decode.d4.loss_dice: 0.6668, decode.d5.loss_cls: 0.1778, decode.d5.loss_mask: 0.4465, decode.d5.loss_dice: 0.6650, decode.d6.loss_cls: 0.1729, decode.d6.loss_mask: 0.4457, decode.d6.loss_dice: 0.6672, decode.d7.loss_cls: 0.1708, decode.d7.loss_mask: 0.4446, decode.d7.loss_dice: 0.6678, decode.d8.loss_cls: 0.1723, decode.d8.loss_mask: 0.4446, decode.d8.loss_dice: 0.6677, loss: 14.1980, grad_norm: 63.3558 2023-11-22 18:50:32,917 - mmseg - INFO - Iter [132600/160000] lr: 1.631e-06, eta: 4:27:36, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1795, decode.loss_mask: 0.4384, decode.loss_dice: 0.6684, decode.d0.loss_cls: 1.2678, decode.d0.loss_mask: 0.4718, decode.d0.loss_dice: 0.7412, decode.d1.loss_cls: 0.2645, decode.d1.loss_mask: 0.4535, decode.d1.loss_dice: 0.7093, decode.d2.loss_cls: 0.2101, decode.d2.loss_mask: 0.4444, decode.d2.loss_dice: 0.6895, decode.d3.loss_cls: 0.1977, decode.d3.loss_mask: 0.4426, decode.d3.loss_dice: 0.6754, decode.d4.loss_cls: 0.1924, decode.d4.loss_mask: 0.4399, decode.d4.loss_dice: 0.6768, decode.d5.loss_cls: 0.1927, decode.d5.loss_mask: 0.4386, decode.d5.loss_dice: 0.6740, decode.d6.loss_cls: 0.1833, decode.d6.loss_mask: 0.4368, decode.d6.loss_dice: 0.6718, decode.d7.loss_cls: 0.1811, decode.d7.loss_mask: 0.4371, decode.d7.loss_dice: 0.6729, decode.d8.loss_cls: 0.1816, decode.d8.loss_mask: 0.4369, decode.d8.loss_dice: 0.6692, loss: 14.3391, grad_norm: 65.7744 2023-11-22 18:51:03,654 - mmseg - INFO - Iter [132650/160000] lr: 1.628e-06, eta: 4:27:07, time: 0.615, data_time: 0.058, memory: 38143, decode.loss_cls: 0.1749, decode.loss_mask: 0.4278, decode.loss_dice: 0.6719, decode.d0.loss_cls: 1.2895, decode.d0.loss_mask: 0.4591, decode.d0.loss_dice: 0.7490, decode.d1.loss_cls: 0.2522, decode.d1.loss_mask: 0.4427, decode.d1.loss_dice: 0.7125, decode.d2.loss_cls: 0.2137, decode.d2.loss_mask: 0.4341, decode.d2.loss_dice: 0.6897, decode.d3.loss_cls: 0.1957, decode.d3.loss_mask: 0.4310, decode.d3.loss_dice: 0.6745, decode.d4.loss_cls: 0.1870, decode.d4.loss_mask: 0.4295, decode.d4.loss_dice: 0.6744, decode.d5.loss_cls: 0.1890, decode.d5.loss_mask: 0.4269, decode.d5.loss_dice: 0.6719, decode.d6.loss_cls: 0.1786, decode.d6.loss_mask: 0.4281, decode.d6.loss_dice: 0.6745, decode.d7.loss_cls: 0.1759, decode.d7.loss_mask: 0.4289, decode.d7.loss_dice: 0.6741, decode.d8.loss_cls: 0.1786, decode.d8.loss_mask: 0.4283, decode.d8.loss_dice: 0.6698, loss: 14.2337, grad_norm: 67.2857 2023-11-22 18:51:32,101 - mmseg - INFO - Iter [132700/160000] lr: 1.625e-06, eta: 4:26:38, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1848, decode.loss_mask: 0.4406, decode.loss_dice: 0.6656, decode.d0.loss_cls: 1.2488, decode.d0.loss_mask: 0.4758, decode.d0.loss_dice: 0.7365, decode.d1.loss_cls: 0.2608, decode.d1.loss_mask: 0.4538, decode.d1.loss_dice: 0.7015, decode.d2.loss_cls: 0.2118, decode.d2.loss_mask: 0.4458, decode.d2.loss_dice: 0.6841, decode.d3.loss_cls: 0.2018, decode.d3.loss_mask: 0.4441, decode.d3.loss_dice: 0.6701, decode.d4.loss_cls: 0.1956, decode.d4.loss_mask: 0.4446, decode.d4.loss_dice: 0.6707, decode.d5.loss_cls: 0.1941, decode.d5.loss_mask: 0.4437, decode.d5.loss_dice: 0.6658, decode.d6.loss_cls: 0.1916, decode.d6.loss_mask: 0.4421, decode.d6.loss_dice: 0.6679, decode.d7.loss_cls: 0.1889, decode.d7.loss_mask: 0.4402, decode.d7.loss_dice: 0.6701, decode.d8.loss_cls: 0.1839, decode.d8.loss_mask: 0.4395, decode.d8.loss_dice: 0.6673, loss: 14.3320, grad_norm: 65.8794 2023-11-22 18:52:00,505 - mmseg - INFO - Iter [132750/160000] lr: 1.622e-06, eta: 4:26:08, time: 0.568, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1706, decode.loss_mask: 0.4351, decode.loss_dice: 0.6683, decode.d0.loss_cls: 1.2290, decode.d0.loss_mask: 0.4686, decode.d0.loss_dice: 0.7338, decode.d1.loss_cls: 0.2460, decode.d1.loss_mask: 0.4492, decode.d1.loss_dice: 0.6943, decode.d2.loss_cls: 0.1966, decode.d2.loss_mask: 0.4410, decode.d2.loss_dice: 0.6797, decode.d3.loss_cls: 0.1855, decode.d3.loss_mask: 0.4365, decode.d3.loss_dice: 0.6710, decode.d4.loss_cls: 0.1796, decode.d4.loss_mask: 0.4371, decode.d4.loss_dice: 0.6688, decode.d5.loss_cls: 0.1790, decode.d5.loss_mask: 0.4380, decode.d5.loss_dice: 0.6698, decode.d6.loss_cls: 0.1783, decode.d6.loss_mask: 0.4372, decode.d6.loss_dice: 0.6670, decode.d7.loss_cls: 0.1715, decode.d7.loss_mask: 0.4370, decode.d7.loss_dice: 0.6658, decode.d8.loss_cls: 0.1706, decode.d8.loss_mask: 0.4353, decode.d8.loss_dice: 0.6670, loss: 14.1072, grad_norm: 66.8520 2023-11-22 18:52:28,666 - mmseg - INFO - Iter [132800/160000] lr: 1.619e-06, eta: 4:25:39, time: 0.563, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1601, decode.loss_mask: 0.4358, decode.loss_dice: 0.6545, decode.d0.loss_cls: 1.2283, decode.d0.loss_mask: 0.4724, decode.d0.loss_dice: 0.7167, decode.d1.loss_cls: 0.2356, decode.d1.loss_mask: 0.4560, decode.d1.loss_dice: 0.6894, decode.d2.loss_cls: 0.1971, decode.d2.loss_mask: 0.4454, decode.d2.loss_dice: 0.6695, decode.d3.loss_cls: 0.1788, decode.d3.loss_mask: 0.4408, decode.d3.loss_dice: 0.6573, decode.d4.loss_cls: 0.1754, decode.d4.loss_mask: 0.4389, decode.d4.loss_dice: 0.6601, decode.d5.loss_cls: 0.1704, decode.d5.loss_mask: 0.4378, decode.d5.loss_dice: 0.6619, decode.d6.loss_cls: 0.1681, decode.d6.loss_mask: 0.4359, decode.d6.loss_dice: 0.6582, decode.d7.loss_cls: 0.1646, decode.d7.loss_mask: 0.4366, decode.d7.loss_dice: 0.6593, decode.d8.loss_cls: 0.1634, decode.d8.loss_mask: 0.4368, decode.d8.loss_dice: 0.6569, loss: 13.9619, grad_norm: 65.1565 2023-11-22 18:52:56,735 - mmseg - INFO - Iter [132850/160000] lr: 1.616e-06, eta: 4:25:09, time: 0.561, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1789, decode.loss_mask: 0.4530, decode.loss_dice: 0.6524, decode.d0.loss_cls: 1.2732, decode.d0.loss_mask: 0.4931, decode.d0.loss_dice: 0.7296, decode.d1.loss_cls: 0.2545, decode.d1.loss_mask: 0.4702, decode.d1.loss_dice: 0.6884, decode.d2.loss_cls: 0.2076, decode.d2.loss_mask: 0.4599, decode.d2.loss_dice: 0.6706, decode.d3.loss_cls: 0.1937, decode.d3.loss_mask: 0.4561, decode.d3.loss_dice: 0.6598, decode.d4.loss_cls: 0.1915, decode.d4.loss_mask: 0.4566, decode.d4.loss_dice: 0.6596, decode.d5.loss_cls: 0.1858, decode.d5.loss_mask: 0.4560, decode.d5.loss_dice: 0.6586, decode.d6.loss_cls: 0.1825, decode.d6.loss_mask: 0.4556, decode.d6.loss_dice: 0.6600, decode.d7.loss_cls: 0.1837, decode.d7.loss_mask: 0.4552, decode.d7.loss_dice: 0.6548, decode.d8.loss_cls: 0.1797, decode.d8.loss_mask: 0.4538, decode.d8.loss_dice: 0.6550, loss: 14.3292, grad_norm: 67.2796 2023-11-22 18:53:25,065 - mmseg - INFO - Iter [132900/160000] lr: 1.613e-06, eta: 4:24:40, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1666, decode.loss_mask: 0.4375, decode.loss_dice: 0.6550, decode.d0.loss_cls: 1.2950, decode.d0.loss_mask: 0.4733, decode.d0.loss_dice: 0.7334, decode.d1.loss_cls: 0.2531, decode.d1.loss_mask: 0.4524, decode.d1.loss_dice: 0.6958, decode.d2.loss_cls: 0.2019, decode.d2.loss_mask: 0.4442, decode.d2.loss_dice: 0.6756, decode.d3.loss_cls: 0.1849, decode.d3.loss_mask: 0.4395, decode.d3.loss_dice: 0.6670, decode.d4.loss_cls: 0.1752, decode.d4.loss_mask: 0.4400, decode.d4.loss_dice: 0.6657, decode.d5.loss_cls: 0.1756, decode.d5.loss_mask: 0.4377, decode.d5.loss_dice: 0.6644, decode.d6.loss_cls: 0.1670, decode.d6.loss_mask: 0.4372, decode.d6.loss_dice: 0.6619, decode.d7.loss_cls: 0.1651, decode.d7.loss_mask: 0.4372, decode.d7.loss_dice: 0.6608, decode.d8.loss_cls: 0.1658, decode.d8.loss_mask: 0.4370, decode.d8.loss_dice: 0.6601, loss: 14.1257, grad_norm: 65.4825 2023-11-22 18:53:53,371 - mmseg - INFO - Iter [132950/160000] lr: 1.610e-06, eta: 4:24:10, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1618, decode.loss_mask: 0.4227, decode.loss_dice: 0.6652, decode.d0.loss_cls: 1.2607, decode.d0.loss_mask: 0.4549, decode.d0.loss_dice: 0.7401, decode.d1.loss_cls: 0.2377, decode.d1.loss_mask: 0.4388, decode.d1.loss_dice: 0.7022, decode.d2.loss_cls: 0.1938, decode.d2.loss_mask: 0.4287, decode.d2.loss_dice: 0.6789, decode.d3.loss_cls: 0.1822, decode.d3.loss_mask: 0.4283, decode.d3.loss_dice: 0.6705, decode.d4.loss_cls: 0.1721, decode.d4.loss_mask: 0.4269, decode.d4.loss_dice: 0.6712, decode.d5.loss_cls: 0.1630, decode.d5.loss_mask: 0.4260, decode.d5.loss_dice: 0.6712, decode.d6.loss_cls: 0.1701, decode.d6.loss_mask: 0.4248, decode.d6.loss_dice: 0.6672, decode.d7.loss_cls: 0.1639, decode.d7.loss_mask: 0.4242, decode.d7.loss_dice: 0.6708, decode.d8.loss_cls: 0.1614, decode.d8.loss_mask: 0.4241, decode.d8.loss_dice: 0.6675, loss: 13.9710, grad_norm: 66.0375 2023-11-22 18:54:21,992 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 18:54:21,993 - mmseg - INFO - Iter [133000/160000] lr: 1.607e-06, eta: 4:23:41, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1653, decode.loss_mask: 0.4196, decode.loss_dice: 0.6373, decode.d0.loss_cls: 1.2523, decode.d0.loss_mask: 0.4545, decode.d0.loss_dice: 0.7115, decode.d1.loss_cls: 0.2396, decode.d1.loss_mask: 0.4352, decode.d1.loss_dice: 0.6733, decode.d2.loss_cls: 0.1965, decode.d2.loss_mask: 0.4238, decode.d2.loss_dice: 0.6532, decode.d3.loss_cls: 0.1855, decode.d3.loss_mask: 0.4206, decode.d3.loss_dice: 0.6441, decode.d4.loss_cls: 0.1772, decode.d4.loss_mask: 0.4199, decode.d4.loss_dice: 0.6439, decode.d5.loss_cls: 0.1741, decode.d5.loss_mask: 0.4201, decode.d5.loss_dice: 0.6408, decode.d6.loss_cls: 0.1749, decode.d6.loss_mask: 0.4198, decode.d6.loss_dice: 0.6350, decode.d7.loss_cls: 0.1739, decode.d7.loss_mask: 0.4195, decode.d7.loss_dice: 0.6361, decode.d8.loss_cls: 0.1697, decode.d8.loss_mask: 0.4190, decode.d8.loss_dice: 0.6432, loss: 13.6791, grad_norm: 66.5477 2023-11-22 18:54:50,367 - mmseg - INFO - Iter [133050/160000] lr: 1.604e-06, eta: 4:23:11, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1729, decode.loss_mask: 0.4350, decode.loss_dice: 0.6499, decode.d0.loss_cls: 1.2439, decode.d0.loss_mask: 0.4634, decode.d0.loss_dice: 0.7129, decode.d1.loss_cls: 0.2460, decode.d1.loss_mask: 0.4511, decode.d1.loss_dice: 0.6834, decode.d2.loss_cls: 0.2053, decode.d2.loss_mask: 0.4419, decode.d2.loss_dice: 0.6656, decode.d3.loss_cls: 0.1881, decode.d3.loss_mask: 0.4391, decode.d3.loss_dice: 0.6536, decode.d4.loss_cls: 0.1829, decode.d4.loss_mask: 0.4379, decode.d4.loss_dice: 0.6565, decode.d5.loss_cls: 0.1773, decode.d5.loss_mask: 0.4372, decode.d5.loss_dice: 0.6582, decode.d6.loss_cls: 0.1748, decode.d6.loss_mask: 0.4367, decode.d6.loss_dice: 0.6457, decode.d7.loss_cls: 0.1736, decode.d7.loss_mask: 0.4357, decode.d7.loss_dice: 0.6495, decode.d8.loss_cls: 0.1680, decode.d8.loss_mask: 0.4356, decode.d8.loss_dice: 0.6523, loss: 13.9742, grad_norm: 70.6168 2023-11-22 18:55:18,731 - mmseg - INFO - Iter [133100/160000] lr: 1.601e-06, eta: 4:22:42, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1785, decode.loss_mask: 0.4398, decode.loss_dice: 0.6652, decode.d0.loss_cls: 1.2479, decode.d0.loss_mask: 0.4712, decode.d0.loss_dice: 0.7362, decode.d1.loss_cls: 0.2481, decode.d1.loss_mask: 0.4545, decode.d1.loss_dice: 0.6922, decode.d2.loss_cls: 0.2005, decode.d2.loss_mask: 0.4468, decode.d2.loss_dice: 0.6809, decode.d3.loss_cls: 0.1804, decode.d3.loss_mask: 0.4434, decode.d3.loss_dice: 0.6680, decode.d4.loss_cls: 0.1790, decode.d4.loss_mask: 0.4418, decode.d4.loss_dice: 0.6682, decode.d5.loss_cls: 0.1796, decode.d5.loss_mask: 0.4408, decode.d5.loss_dice: 0.6657, decode.d6.loss_cls: 0.1746, decode.d6.loss_mask: 0.4395, decode.d6.loss_dice: 0.6651, decode.d7.loss_cls: 0.1720, decode.d7.loss_mask: 0.4400, decode.d7.loss_dice: 0.6634, decode.d8.loss_cls: 0.1697, decode.d8.loss_mask: 0.4402, decode.d8.loss_dice: 0.6678, loss: 14.1611, grad_norm: 64.0791 2023-11-22 18:55:46,994 - mmseg - INFO - Iter [133150/160000] lr: 1.598e-06, eta: 4:22:12, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1732, decode.loss_mask: 0.4330, decode.loss_dice: 0.6514, decode.d0.loss_cls: 1.2796, decode.d0.loss_mask: 0.4631, decode.d0.loss_dice: 0.7223, decode.d1.loss_cls: 0.2550, decode.d1.loss_mask: 0.4486, decode.d1.loss_dice: 0.6861, decode.d2.loss_cls: 0.2079, decode.d2.loss_mask: 0.4429, decode.d2.loss_dice: 0.6717, decode.d3.loss_cls: 0.1963, decode.d3.loss_mask: 0.4355, decode.d3.loss_dice: 0.6561, decode.d4.loss_cls: 0.1872, decode.d4.loss_mask: 0.4368, decode.d4.loss_dice: 0.6588, decode.d5.loss_cls: 0.1825, decode.d5.loss_mask: 0.4368, decode.d5.loss_dice: 0.6602, decode.d6.loss_cls: 0.1789, decode.d6.loss_mask: 0.4345, decode.d6.loss_dice: 0.6556, decode.d7.loss_cls: 0.1692, decode.d7.loss_mask: 0.4344, decode.d7.loss_dice: 0.6563, decode.d8.loss_cls: 0.1716, decode.d8.loss_mask: 0.4340, decode.d8.loss_dice: 0.6550, loss: 14.0745, grad_norm: 68.2910 2023-11-22 18:56:15,400 - mmseg - INFO - Iter [133200/160000] lr: 1.595e-06, eta: 4:21:43, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1731, decode.loss_mask: 0.4396, decode.loss_dice: 0.6612, decode.d0.loss_cls: 1.2671, decode.d0.loss_mask: 0.4673, decode.d0.loss_dice: 0.7280, decode.d1.loss_cls: 0.2457, decode.d1.loss_mask: 0.4520, decode.d1.loss_dice: 0.6964, decode.d2.loss_cls: 0.2111, decode.d2.loss_mask: 0.4445, decode.d2.loss_dice: 0.6749, decode.d3.loss_cls: 0.1898, decode.d3.loss_mask: 0.4418, decode.d3.loss_dice: 0.6686, decode.d4.loss_cls: 0.1839, decode.d4.loss_mask: 0.4427, decode.d4.loss_dice: 0.6733, decode.d5.loss_cls: 0.1792, decode.d5.loss_mask: 0.4410, decode.d5.loss_dice: 0.6658, decode.d6.loss_cls: 0.1792, decode.d6.loss_mask: 0.4396, decode.d6.loss_dice: 0.6639, decode.d7.loss_cls: 0.1775, decode.d7.loss_mask: 0.4391, decode.d7.loss_dice: 0.6644, decode.d8.loss_cls: 0.1743, decode.d8.loss_mask: 0.4395, decode.d8.loss_dice: 0.6662, loss: 14.1906, grad_norm: 65.5791 2023-11-22 18:56:43,795 - mmseg - INFO - Iter [133250/160000] lr: 1.592e-06, eta: 4:21:13, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1758, decode.loss_mask: 0.4500, decode.loss_dice: 0.6705, decode.d0.loss_cls: 1.2907, decode.d0.loss_mask: 0.4832, decode.d0.loss_dice: 0.7487, decode.d1.loss_cls: 0.2579, decode.d1.loss_mask: 0.4666, decode.d1.loss_dice: 0.7142, decode.d2.loss_cls: 0.2091, decode.d2.loss_mask: 0.4560, decode.d2.loss_dice: 0.6908, decode.d3.loss_cls: 0.1893, decode.d3.loss_mask: 0.4525, decode.d3.loss_dice: 0.6796, decode.d4.loss_cls: 0.1845, decode.d4.loss_mask: 0.4522, decode.d4.loss_dice: 0.6797, decode.d5.loss_cls: 0.1777, decode.d5.loss_mask: 0.4510, decode.d5.loss_dice: 0.6810, decode.d6.loss_cls: 0.1801, decode.d6.loss_mask: 0.4508, decode.d6.loss_dice: 0.6763, decode.d7.loss_cls: 0.1756, decode.d7.loss_mask: 0.4509, decode.d7.loss_dice: 0.6759, decode.d8.loss_cls: 0.1749, decode.d8.loss_mask: 0.4505, decode.d8.loss_dice: 0.6737, loss: 14.4695, grad_norm: 71.0506 2023-11-22 18:57:12,210 - mmseg - INFO - Iter [133300/160000] lr: 1.590e-06, eta: 4:20:44, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1788, decode.loss_mask: 0.4466, decode.loss_dice: 0.6840, decode.d0.loss_cls: 1.2529, decode.d0.loss_mask: 0.4804, decode.d0.loss_dice: 0.7610, decode.d1.loss_cls: 0.2622, decode.d1.loss_mask: 0.4657, decode.d1.loss_dice: 0.7239, decode.d2.loss_cls: 0.2193, decode.d2.loss_mask: 0.4542, decode.d2.loss_dice: 0.7033, decode.d3.loss_cls: 0.1969, decode.d3.loss_mask: 0.4495, decode.d3.loss_dice: 0.6882, decode.d4.loss_cls: 0.1960, decode.d4.loss_mask: 0.4475, decode.d4.loss_dice: 0.6900, decode.d5.loss_cls: 0.1929, decode.d5.loss_mask: 0.4478, decode.d5.loss_dice: 0.6873, decode.d6.loss_cls: 0.1867, decode.d6.loss_mask: 0.4469, decode.d6.loss_dice: 0.6835, decode.d7.loss_cls: 0.1837, decode.d7.loss_mask: 0.4483, decode.d7.loss_dice: 0.6850, decode.d8.loss_cls: 0.1833, decode.d8.loss_mask: 0.4480, decode.d8.loss_dice: 0.6832, loss: 14.5768, grad_norm: 68.2794 2023-11-22 18:57:40,778 - mmseg - INFO - Iter [133350/160000] lr: 1.587e-06, eta: 4:20:14, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1628, decode.loss_mask: 0.4313, decode.loss_dice: 0.6683, decode.d0.loss_cls: 1.2746, decode.d0.loss_mask: 0.4583, decode.d0.loss_dice: 0.7422, decode.d1.loss_cls: 0.2442, decode.d1.loss_mask: 0.4402, decode.d1.loss_dice: 0.7016, decode.d2.loss_cls: 0.1992, decode.d2.loss_mask: 0.4334, decode.d2.loss_dice: 0.6848, decode.d3.loss_cls: 0.1847, decode.d3.loss_mask: 0.4323, decode.d3.loss_dice: 0.6728, decode.d4.loss_cls: 0.1761, decode.d4.loss_mask: 0.4314, decode.d4.loss_dice: 0.6717, decode.d5.loss_cls: 0.1752, decode.d5.loss_mask: 0.4298, decode.d5.loss_dice: 0.6697, decode.d6.loss_cls: 0.1723, decode.d6.loss_mask: 0.4291, decode.d6.loss_dice: 0.6635, decode.d7.loss_cls: 0.1664, decode.d7.loss_mask: 0.4307, decode.d7.loss_dice: 0.6679, decode.d8.loss_cls: 0.1598, decode.d8.loss_mask: 0.4306, decode.d8.loss_dice: 0.6683, loss: 14.0733, grad_norm: 65.7361 2023-11-22 18:58:09,109 - mmseg - INFO - Iter [133400/160000] lr: 1.584e-06, eta: 4:19:45, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1641, decode.loss_mask: 0.4413, decode.loss_dice: 0.6668, decode.d0.loss_cls: 1.2088, decode.d0.loss_mask: 0.4728, decode.d0.loss_dice: 0.7410, decode.d1.loss_cls: 0.2454, decode.d1.loss_mask: 0.4553, decode.d1.loss_dice: 0.7075, decode.d2.loss_cls: 0.1915, decode.d2.loss_mask: 0.4509, decode.d2.loss_dice: 0.6856, decode.d3.loss_cls: 0.1802, decode.d3.loss_mask: 0.4483, decode.d3.loss_dice: 0.6761, decode.d4.loss_cls: 0.1745, decode.d4.loss_mask: 0.4466, decode.d4.loss_dice: 0.6746, decode.d5.loss_cls: 0.1710, decode.d5.loss_mask: 0.4454, decode.d5.loss_dice: 0.6748, decode.d6.loss_cls: 0.1648, decode.d6.loss_mask: 0.4437, decode.d6.loss_dice: 0.6708, decode.d7.loss_cls: 0.1602, decode.d7.loss_mask: 0.4426, decode.d7.loss_dice: 0.6735, decode.d8.loss_cls: 0.1614, decode.d8.loss_mask: 0.4424, decode.d8.loss_dice: 0.6752, loss: 14.1573, grad_norm: 67.4164 2023-11-22 18:58:37,599 - mmseg - INFO - Iter [133450/160000] lr: 1.581e-06, eta: 4:19:15, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1706, decode.loss_mask: 0.4291, decode.loss_dice: 0.6618, decode.d0.loss_cls: 1.2450, decode.d0.loss_mask: 0.4564, decode.d0.loss_dice: 0.7322, decode.d1.loss_cls: 0.2500, decode.d1.loss_mask: 0.4404, decode.d1.loss_dice: 0.6905, decode.d2.loss_cls: 0.2070, decode.d2.loss_mask: 0.4341, decode.d2.loss_dice: 0.6760, decode.d3.loss_cls: 0.1894, decode.d3.loss_mask: 0.4290, decode.d3.loss_dice: 0.6646, decode.d4.loss_cls: 0.1828, decode.d4.loss_mask: 0.4278, decode.d4.loss_dice: 0.6603, decode.d5.loss_cls: 0.1814, decode.d5.loss_mask: 0.4284, decode.d5.loss_dice: 0.6687, decode.d6.loss_cls: 0.1746, decode.d6.loss_mask: 0.4281, decode.d6.loss_dice: 0.6636, decode.d7.loss_cls: 0.1727, decode.d7.loss_mask: 0.4267, decode.d7.loss_dice: 0.6600, decode.d8.loss_cls: 0.1700, decode.d8.loss_mask: 0.4265, decode.d8.loss_dice: 0.6623, loss: 14.0102, grad_norm: 62.5219 2023-11-22 18:59:05,794 - mmseg - INFO - Iter [133500/160000] lr: 1.578e-06, eta: 4:18:46, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1469, decode.loss_mask: 0.4292, decode.loss_dice: 0.6556, decode.d0.loss_cls: 1.2044, decode.d0.loss_mask: 0.4629, decode.d0.loss_dice: 0.7165, decode.d1.loss_cls: 0.2118, decode.d1.loss_mask: 0.4451, decode.d1.loss_dice: 0.6804, decode.d2.loss_cls: 0.1706, decode.d2.loss_mask: 0.4364, decode.d2.loss_dice: 0.6704, decode.d3.loss_cls: 0.1615, decode.d3.loss_mask: 0.4323, decode.d3.loss_dice: 0.6588, decode.d4.loss_cls: 0.1594, decode.d4.loss_mask: 0.4313, decode.d4.loss_dice: 0.6590, decode.d5.loss_cls: 0.1535, decode.d5.loss_mask: 0.4322, decode.d5.loss_dice: 0.6587, decode.d6.loss_cls: 0.1495, decode.d6.loss_mask: 0.4303, decode.d6.loss_dice: 0.6517, decode.d7.loss_cls: 0.1459, decode.d7.loss_mask: 0.4301, decode.d7.loss_dice: 0.6538, decode.d8.loss_cls: 0.1466, decode.d8.loss_mask: 0.4286, decode.d8.loss_dice: 0.6538, loss: 13.6672, grad_norm: 64.6602 2023-11-22 18:59:34,195 - mmseg - INFO - Iter [133550/160000] lr: 1.575e-06, eta: 4:18:16, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1704, decode.loss_mask: 0.4573, decode.loss_dice: 0.6989, decode.d0.loss_cls: 1.2925, decode.d0.loss_mask: 0.4902, decode.d0.loss_dice: 0.7689, decode.d1.loss_cls: 0.2545, decode.d1.loss_mask: 0.4732, decode.d1.loss_dice: 0.7356, decode.d2.loss_cls: 0.2139, decode.d2.loss_mask: 0.4632, decode.d2.loss_dice: 0.7150, decode.d3.loss_cls: 0.1971, decode.d3.loss_mask: 0.4604, decode.d3.loss_dice: 0.6964, decode.d4.loss_cls: 0.1924, decode.d4.loss_mask: 0.4579, decode.d4.loss_dice: 0.6964, decode.d5.loss_cls: 0.1831, decode.d5.loss_mask: 0.4591, decode.d5.loss_dice: 0.7014, decode.d6.loss_cls: 0.1828, decode.d6.loss_mask: 0.4563, decode.d6.loss_dice: 0.6954, decode.d7.loss_cls: 0.1782, decode.d7.loss_mask: 0.4572, decode.d7.loss_dice: 0.6965, decode.d8.loss_cls: 0.1751, decode.d8.loss_mask: 0.4576, decode.d8.loss_dice: 0.6954, loss: 14.7722, grad_norm: 63.9834 2023-11-22 19:00:02,928 - mmseg - INFO - Iter [133600/160000] lr: 1.572e-06, eta: 4:17:47, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1748, decode.loss_mask: 0.4394, decode.loss_dice: 0.6789, decode.d0.loss_cls: 1.2769, decode.d0.loss_mask: 0.4741, decode.d0.loss_dice: 0.7512, decode.d1.loss_cls: 0.2521, decode.d1.loss_mask: 0.4570, decode.d1.loss_dice: 0.7104, decode.d2.loss_cls: 0.2095, decode.d2.loss_mask: 0.4446, decode.d2.loss_dice: 0.6918, decode.d3.loss_cls: 0.1923, decode.d3.loss_mask: 0.4423, decode.d3.loss_dice: 0.6768, decode.d4.loss_cls: 0.1842, decode.d4.loss_mask: 0.4420, decode.d4.loss_dice: 0.6808, decode.d5.loss_cls: 0.1815, decode.d5.loss_mask: 0.4403, decode.d5.loss_dice: 0.6804, decode.d6.loss_cls: 0.1818, decode.d6.loss_mask: 0.4409, decode.d6.loss_dice: 0.6810, decode.d7.loss_cls: 0.1738, decode.d7.loss_mask: 0.4415, decode.d7.loss_dice: 0.6807, decode.d8.loss_cls: 0.1734, decode.d8.loss_mask: 0.4398, decode.d8.loss_dice: 0.6802, loss: 14.3742, grad_norm: 74.3455 2023-11-22 19:00:31,214 - mmseg - INFO - Iter [133650/160000] lr: 1.569e-06, eta: 4:17:17, time: 0.566, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1784, decode.loss_mask: 0.4380, decode.loss_dice: 0.6621, decode.d0.loss_cls: 1.2629, decode.d0.loss_mask: 0.4733, decode.d0.loss_dice: 0.7350, decode.d1.loss_cls: 0.2497, decode.d1.loss_mask: 0.4530, decode.d1.loss_dice: 0.6956, decode.d2.loss_cls: 0.2065, decode.d2.loss_mask: 0.4441, decode.d2.loss_dice: 0.6790, decode.d3.loss_cls: 0.1965, decode.d3.loss_mask: 0.4419, decode.d3.loss_dice: 0.6660, decode.d4.loss_cls: 0.1859, decode.d4.loss_mask: 0.4407, decode.d4.loss_dice: 0.6666, decode.d5.loss_cls: 0.1864, decode.d5.loss_mask: 0.4395, decode.d5.loss_dice: 0.6703, decode.d6.loss_cls: 0.1835, decode.d6.loss_mask: 0.4385, decode.d6.loss_dice: 0.6603, decode.d7.loss_cls: 0.1839, decode.d7.loss_mask: 0.4388, decode.d7.loss_dice: 0.6647, decode.d8.loss_cls: 0.1815, decode.d8.loss_mask: 0.4378, decode.d8.loss_dice: 0.6650, loss: 14.2254, grad_norm: 69.8421 2023-11-22 19:00:59,575 - mmseg - INFO - Iter [133700/160000] lr: 1.566e-06, eta: 4:16:48, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1761, decode.loss_mask: 0.4475, decode.loss_dice: 0.6593, decode.d0.loss_cls: 1.2948, decode.d0.loss_mask: 0.4829, decode.d0.loss_dice: 0.7367, decode.d1.loss_cls: 0.2578, decode.d1.loss_mask: 0.4605, decode.d1.loss_dice: 0.6995, decode.d2.loss_cls: 0.2162, decode.d2.loss_mask: 0.4529, decode.d2.loss_dice: 0.6767, decode.d3.loss_cls: 0.1938, decode.d3.loss_mask: 0.4509, decode.d3.loss_dice: 0.6642, decode.d4.loss_cls: 0.1880, decode.d4.loss_mask: 0.4505, decode.d4.loss_dice: 0.6642, decode.d5.loss_cls: 0.1852, decode.d5.loss_mask: 0.4493, decode.d5.loss_dice: 0.6615, decode.d6.loss_cls: 0.1755, decode.d6.loss_mask: 0.4491, decode.d6.loss_dice: 0.6629, decode.d7.loss_cls: 0.1802, decode.d7.loss_mask: 0.4481, decode.d7.loss_dice: 0.6619, decode.d8.loss_cls: 0.1768, decode.d8.loss_mask: 0.4464, decode.d8.loss_dice: 0.6570, loss: 14.3264, grad_norm: 69.0488 2023-11-22 19:01:27,852 - mmseg - INFO - Iter [133750/160000] lr: 1.563e-06, eta: 4:16:19, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1721, decode.loss_mask: 0.4450, decode.loss_dice: 0.6620, decode.d0.loss_cls: 1.2637, decode.d0.loss_mask: 0.4777, decode.d0.loss_dice: 0.7402, decode.d1.loss_cls: 0.2505, decode.d1.loss_mask: 0.4618, decode.d1.loss_dice: 0.7041, decode.d2.loss_cls: 0.2098, decode.d2.loss_mask: 0.4523, decode.d2.loss_dice: 0.6834, decode.d3.loss_cls: 0.1887, decode.d3.loss_mask: 0.4494, decode.d3.loss_dice: 0.6707, decode.d4.loss_cls: 0.1822, decode.d4.loss_mask: 0.4491, decode.d4.loss_dice: 0.6720, decode.d5.loss_cls: 0.1773, decode.d5.loss_mask: 0.4462, decode.d5.loss_dice: 0.6672, decode.d6.loss_cls: 0.1729, decode.d6.loss_mask: 0.4465, decode.d6.loss_dice: 0.6679, decode.d7.loss_cls: 0.1709, decode.d7.loss_mask: 0.4458, decode.d7.loss_dice: 0.6646, decode.d8.loss_cls: 0.1673, decode.d8.loss_mask: 0.4450, decode.d8.loss_dice: 0.6671, loss: 14.2734, grad_norm: 66.1755 2023-11-22 19:01:56,215 - mmseg - INFO - Iter [133800/160000] lr: 1.560e-06, eta: 4:15:49, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1805, decode.loss_mask: 0.4438, decode.loss_dice: 0.6891, decode.d0.loss_cls: 1.2967, decode.d0.loss_mask: 0.4786, decode.d0.loss_dice: 0.7605, decode.d1.loss_cls: 0.2689, decode.d1.loss_mask: 0.4566, decode.d1.loss_dice: 0.7216, decode.d2.loss_cls: 0.2223, decode.d2.loss_mask: 0.4505, decode.d2.loss_dice: 0.7056, decode.d3.loss_cls: 0.2000, decode.d3.loss_mask: 0.4462, decode.d3.loss_dice: 0.6909, decode.d4.loss_cls: 0.1939, decode.d4.loss_mask: 0.4460, decode.d4.loss_dice: 0.6897, decode.d5.loss_cls: 0.1933, decode.d5.loss_mask: 0.4452, decode.d5.loss_dice: 0.6890, decode.d6.loss_cls: 0.1884, decode.d6.loss_mask: 0.4447, decode.d6.loss_dice: 0.6878, decode.d7.loss_cls: 0.1809, decode.d7.loss_mask: 0.4445, decode.d7.loss_dice: 0.6885, decode.d8.loss_cls: 0.1823, decode.d8.loss_mask: 0.4441, decode.d8.loss_dice: 0.6905, loss: 14.6206, grad_norm: 68.5607 2023-11-22 19:02:24,604 - mmseg - INFO - Iter [133850/160000] lr: 1.557e-06, eta: 4:15:20, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1659, decode.loss_mask: 0.4329, decode.loss_dice: 0.6687, decode.d0.loss_cls: 1.2290, decode.d0.loss_mask: 0.4656, decode.d0.loss_dice: 0.7416, decode.d1.loss_cls: 0.2519, decode.d1.loss_mask: 0.4469, decode.d1.loss_dice: 0.7026, decode.d2.loss_cls: 0.2094, decode.d2.loss_mask: 0.4357, decode.d2.loss_dice: 0.6796, decode.d3.loss_cls: 0.1894, decode.d3.loss_mask: 0.4345, decode.d3.loss_dice: 0.6724, decode.d4.loss_cls: 0.1820, decode.d4.loss_mask: 0.4335, decode.d4.loss_dice: 0.6716, decode.d5.loss_cls: 0.1778, decode.d5.loss_mask: 0.4343, decode.d5.loss_dice: 0.6700, decode.d6.loss_cls: 0.1725, decode.d6.loss_mask: 0.4339, decode.d6.loss_dice: 0.6681, decode.d7.loss_cls: 0.1759, decode.d7.loss_mask: 0.4327, decode.d7.loss_dice: 0.6672, decode.d8.loss_cls: 0.1692, decode.d8.loss_mask: 0.4323, decode.d8.loss_dice: 0.6683, loss: 14.1155, grad_norm: 63.8460 2023-11-22 19:02:55,554 - mmseg - INFO - Iter [133900/160000] lr: 1.554e-06, eta: 4:14:51, time: 0.619, data_time: 0.060, memory: 38143, decode.loss_cls: 0.1614, decode.loss_mask: 0.4448, decode.loss_dice: 0.6574, decode.d0.loss_cls: 1.2672, decode.d0.loss_mask: 0.4730, decode.d0.loss_dice: 0.7227, decode.d1.loss_cls: 0.2442, decode.d1.loss_mask: 0.4585, decode.d1.loss_dice: 0.6856, decode.d2.loss_cls: 0.1966, decode.d2.loss_mask: 0.4510, decode.d2.loss_dice: 0.6716, decode.d3.loss_cls: 0.1829, decode.d3.loss_mask: 0.4463, decode.d3.loss_dice: 0.6597, decode.d4.loss_cls: 0.1700, decode.d4.loss_mask: 0.4453, decode.d4.loss_dice: 0.6620, decode.d5.loss_cls: 0.1665, decode.d5.loss_mask: 0.4459, decode.d5.loss_dice: 0.6619, decode.d6.loss_cls: 0.1627, decode.d6.loss_mask: 0.4444, decode.d6.loss_dice: 0.6615, decode.d7.loss_cls: 0.1602, decode.d7.loss_mask: 0.4444, decode.d7.loss_dice: 0.6609, decode.d8.loss_cls: 0.1621, decode.d8.loss_mask: 0.4443, decode.d8.loss_dice: 0.6577, loss: 14.0728, grad_norm: 64.5662 2023-11-22 19:03:24,248 - mmseg - INFO - Iter [133950/160000] lr: 1.551e-06, eta: 4:14:21, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1721, decode.loss_mask: 0.4345, decode.loss_dice: 0.6841, decode.d0.loss_cls: 1.2856, decode.d0.loss_mask: 0.4668, decode.d0.loss_dice: 0.7560, decode.d1.loss_cls: 0.2642, decode.d1.loss_mask: 0.4516, decode.d1.loss_dice: 0.7190, decode.d2.loss_cls: 0.2147, decode.d2.loss_mask: 0.4441, decode.d2.loss_dice: 0.6976, decode.d3.loss_cls: 0.1961, decode.d3.loss_mask: 0.4389, decode.d3.loss_dice: 0.6914, decode.d4.loss_cls: 0.1876, decode.d4.loss_mask: 0.4390, decode.d4.loss_dice: 0.6904, decode.d5.loss_cls: 0.1832, decode.d5.loss_mask: 0.4372, decode.d5.loss_dice: 0.6857, decode.d6.loss_cls: 0.1785, decode.d6.loss_mask: 0.4349, decode.d6.loss_dice: 0.6872, decode.d7.loss_cls: 0.1816, decode.d7.loss_mask: 0.4339, decode.d7.loss_dice: 0.6851, decode.d8.loss_cls: 0.1758, decode.d8.loss_mask: 0.4347, decode.d8.loss_dice: 0.6870, loss: 14.4383, grad_norm: 66.6976 2023-11-22 19:03:52,620 - mmseg - INFO - Saving checkpoint at 134000 iterations 2023-11-22 19:04:01,210 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 19:04:01,210 - mmseg - INFO - Iter [134000/160000] lr: 1.548e-06, eta: 4:13:53, time: 0.739, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1980, decode.loss_mask: 0.4337, decode.loss_dice: 0.6804, decode.d0.loss_cls: 1.2829, decode.d0.loss_mask: 0.4622, decode.d0.loss_dice: 0.7510, decode.d1.loss_cls: 0.2701, decode.d1.loss_mask: 0.4483, decode.d1.loss_dice: 0.7082, decode.d2.loss_cls: 0.2337, decode.d2.loss_mask: 0.4410, decode.d2.loss_dice: 0.6967, decode.d3.loss_cls: 0.2147, decode.d3.loss_mask: 0.4362, decode.d3.loss_dice: 0.6842, decode.d4.loss_cls: 0.2093, decode.d4.loss_mask: 0.4367, decode.d4.loss_dice: 0.6862, decode.d5.loss_cls: 0.2051, decode.d5.loss_mask: 0.4356, decode.d5.loss_dice: 0.6896, decode.d6.loss_cls: 0.2025, decode.d6.loss_mask: 0.4357, decode.d6.loss_dice: 0.6813, decode.d7.loss_cls: 0.2017, decode.d7.loss_mask: 0.4327, decode.d7.loss_dice: 0.6772, decode.d8.loss_cls: 0.1966, decode.d8.loss_mask: 0.4356, decode.d8.loss_dice: 0.6817, loss: 14.5488, grad_norm: 65.1414 2023-11-22 19:04:20,502 - mmseg - INFO - per class results: 2023-11-22 19:04:20,507 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.15 | 88.28 | | building | 83.91 | 91.01 | | sky | 95.12 | 97.67 | | floor | 84.59 | 91.54 | | tree | 75.94 | 89.15 | | ceiling | 86.06 | 92.3 | | road | 86.68 | 92.33 | | bed | 91.99 | 95.75 | | windowpane | 64.98 | 82.56 | | grass | 70.27 | 81.32 | | cabinet | 60.51 | 72.89 | | sidewalk | 68.2 | 79.72 | | person | 86.39 | 93.32 | | earth | 38.49 | 56.05 | | door | 56.35 | 72.19 | | table | 71.08 | 84.2 | | mountain | 59.65 | 76.07 | | plant | 54.08 | 63.2 | | curtain | 74.34 | 87.48 | | chair | 65.49 | 76.86 | | car | 87.85 | 94.08 | | water | 54.55 | 66.15 | | painting | 76.53 | 91.0 | | sofa | 77.08 | 88.94 | | shelf | 44.66 | 57.21 | | house | 48.44 | 81.44 | | sea | 58.04 | 84.25 | | mirror | 76.0 | 83.01 | | rug | 68.54 | 83.23 | | field | 39.85 | 60.56 | | armchair | 55.29 | 76.29 | | seat | 67.16 | 86.67 | | fence | 53.85 | 70.3 | | desk | 57.42 | 78.28 | | rock | 49.18 | 64.63 | | wardrobe | 49.24 | 76.55 | | lamp | 72.74 | 82.2 | | bathtub | 78.58 | 86.05 | | railing | 38.58 | 53.83 | | cushion | 65.99 | 76.08 | | base | 42.2 | 65.34 | | box | 33.53 | 45.4 | | column | 53.23 | 70.83 | | signboard | 41.24 | 57.73 | | chest of drawers | 37.71 | 60.49 | | counter | 45.16 | 58.56 | | sand | 37.33 | 51.21 | | sink | 80.64 | 85.2 | | skyscraper | 61.75 | 77.48 | | fireplace | 77.47 | 88.67 | | refrigerator | 78.37 | 84.14 | | grandstand | 44.78 | 76.7 | | path | 19.31 | 33.82 | | stairs | 31.33 | 35.69 | | runway | 72.91 | 93.2 | | case | 59.5 | 85.83 | | pool table | 94.28 | 97.46 | | pillow | 68.41 | 82.7 | | screen door | 67.69 | 73.86 | | stairway | 36.54 | 54.91 | | river | 10.97 | 25.09 | | bridge | 78.63 | 89.3 | | bookcase | 30.88 | 52.43 | | blind | 44.69 | 49.36 | | coffee table | 72.86 | 86.39 | | toilet | 91.25 | 93.79 | | flower | 46.0 | 70.39 | | book | 53.92 | 79.77 | | hill | 7.74 | 13.92 | | bench | 64.37 | 74.39 | | countertop | 60.76 | 81.67 | | stove | 88.63 | 91.46 | | palm | 54.51 | 80.94 | | kitchen island | 49.23 | 87.95 | | computer | 74.2 | 83.11 | | swivel chair | 45.32 | 60.95 | | boat | 39.33 | 54.82 | | bar | 55.9 | 62.69 | | arcade machine | 88.3 | 93.72 | | hovel | 67.93 | 76.63 | | bus | 84.8 | 97.33 | | towel | 80.11 | 90.01 | | light | 66.07 | 78.14 | | truck | 26.27 | 32.38 | | tower | 34.22 | 57.81 | | chandelier | 71.14 | 89.19 | | awning | 39.97 | 52.46 | | streetlight | 50.51 | 64.18 | | booth | 50.02 | 69.68 | | television receiver | 79.43 | 89.48 | | airplane | 65.78 | 84.34 | | dirt track | 11.67 | 17.0 | | apparel | 49.43 | 73.89 | | pole | 41.5 | 65.89 | | land | 3.25 | 6.65 | | bannister | 21.6 | 31.89 | | escalator | 61.15 | 77.71 | | ottoman | 58.0 | 75.56 | | bottle | 41.39 | 68.97 | | buffet | 48.22 | 66.18 | | poster | 29.12 | 43.54 | | stage | 21.38 | 40.18 | | van | 48.29 | 71.8 | | ship | 10.79 | 17.61 | | fountain | 21.58 | 21.91 | | conveyer belt | 71.03 | 95.4 | | canopy | 26.69 | 52.42 | | washer | 70.42 | 74.03 | | plaything | 37.88 | 55.06 | | swimming pool | 70.38 | 72.5 | | stool | 56.13 | 75.69 | | barrel | 90.04 | 98.24 | | basket | 44.23 | 57.37 | | waterfall | 78.65 | 89.59 | | tent | 95.05 | 98.24 | | bag | 23.71 | 34.16 | | minibike | 71.98 | 91.21 | | cradle | 90.42 | 97.53 | | oven | 25.11 | 69.74 | | ball | 62.37 | 76.49 | | food | 59.49 | 72.14 | | step | 31.22 | 41.66 | | tank | 60.8 | 66.32 | | trade name | 32.39 | 39.22 | | microwave | 41.38 | 46.18 | | pot | 54.47 | 66.05 | | animal | 57.91 | 59.21 | | bicycle | 61.88 | 81.22 | | lake | 56.52 | 63.62 | | dishwasher | 82.16 | 88.23 | | screen | 56.64 | 92.14 | | blanket | 39.47 | 50.12 | | sculpture | 74.38 | 89.14 | | hood | 73.91 | 78.48 | | sconce | 62.32 | 74.34 | | vase | 55.0 | 74.07 | | traffic light | 49.31 | 73.11 | | tray | 21.38 | 33.12 | | ashcan | 50.41 | 73.41 | | fan | 70.74 | 86.46 | | pier | 75.7 | 82.43 | | crt screen | 3.13 | 9.33 | | plate | 62.89 | 83.98 | | monitor | 1.68 | 2.14 | | bulletin board | 61.08 | 80.75 | | shower | 4.43 | 25.6 | | radiator | 68.29 | 86.27 | | glass | 24.0 | 26.52 | | clock | 57.59 | 69.58 | | flag | 71.92 | 82.71 | +---------------------+-------+-------+ 2023-11-22 19:04:20,507 - mmseg - INFO - Summary: 2023-11-22 19:04:20,507 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.09 | 56.24 | 70.08 | +-------+-------+-------+ 2023-11-22 19:04:20,561 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_l_640_160k_ade20k_ss/best_mIoU_iter_120000.pth was removed 2023-11-22 19:04:27,806 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_134000.pth. 2023-11-22 19:04:27,806 - mmseg - INFO - Best mIoU is 0.5624 at 134000 iter. 2023-11-22 19:04:27,807 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 19:04:27,807 - mmseg - INFO - Iter(val) [250] aAcc: 0.8509, mIoU: 0.5624, mAcc: 0.7008, IoU.wall: 0.8115, IoU.building: 0.8391, IoU.sky: 0.9512, IoU.floor: 0.8459, IoU.tree: 0.7594, IoU.ceiling: 0.8606, IoU.road: 0.8668, IoU.bed : 0.9199, IoU.windowpane: 0.6498, IoU.grass: 0.7027, IoU.cabinet: 0.6051, IoU.sidewalk: 0.6820, IoU.person: 0.8639, IoU.earth: 0.3849, IoU.door: 0.5635, IoU.table: 0.7108, IoU.mountain: 0.5965, IoU.plant: 0.5408, IoU.curtain: 0.7434, IoU.chair: 0.6549, IoU.car: 0.8785, IoU.water: 0.5455, IoU.painting: 0.7653, IoU.sofa: 0.7708, IoU.shelf: 0.4466, IoU.house: 0.4844, IoU.sea: 0.5804, IoU.mirror: 0.7600, IoU.rug: 0.6854, IoU.field: 0.3985, IoU.armchair: 0.5529, IoU.seat: 0.6716, IoU.fence: 0.5385, IoU.desk: 0.5742, IoU.rock: 0.4918, IoU.wardrobe: 0.4924, IoU.lamp: 0.7274, IoU.bathtub: 0.7858, IoU.railing: 0.3858, IoU.cushion: 0.6599, IoU.base: 0.4220, IoU.box: 0.3353, IoU.column: 0.5323, IoU.signboard: 0.4124, IoU.chest of drawers: 0.3771, IoU.counter: 0.4516, IoU.sand: 0.3733, IoU.sink: 0.8064, IoU.skyscraper: 0.6175, IoU.fireplace: 0.7747, IoU.refrigerator: 0.7837, IoU.grandstand: 0.4478, IoU.path: 0.1931, IoU.stairs: 0.3133, IoU.runway: 0.7291, IoU.case: 0.5950, IoU.pool table: 0.9428, IoU.pillow: 0.6841, IoU.screen door: 0.6769, IoU.stairway: 0.3654, IoU.river: 0.1097, IoU.bridge: 0.7863, IoU.bookcase: 0.3088, IoU.blind: 0.4469, IoU.coffee table: 0.7286, IoU.toilet: 0.9125, IoU.flower: 0.4600, IoU.book: 0.5392, IoU.hill: 0.0774, IoU.bench: 0.6437, IoU.countertop: 0.6076, IoU.stove: 0.8863, IoU.palm: 0.5451, IoU.kitchen island: 0.4923, IoU.computer: 0.7420, IoU.swivel chair: 0.4532, IoU.boat: 0.3933, IoU.bar: 0.5590, IoU.arcade machine: 0.8830, IoU.hovel: 0.6793, IoU.bus: 0.8480, IoU.towel: 0.8011, IoU.light: 0.6607, IoU.truck: 0.2627, IoU.tower: 0.3422, IoU.chandelier: 0.7114, IoU.awning: 0.3997, IoU.streetlight: 0.5051, IoU.booth: 0.5002, IoU.television receiver: 0.7943, IoU.airplane: 0.6578, IoU.dirt track: 0.1167, IoU.apparel: 0.4943, IoU.pole: 0.4150, IoU.land: 0.0325, IoU.bannister: 0.2160, IoU.escalator: 0.6115, IoU.ottoman: 0.5800, IoU.bottle: 0.4139, IoU.buffet: 0.4822, IoU.poster: 0.2912, IoU.stage: 0.2138, IoU.van: 0.4829, IoU.ship: 0.1079, IoU.fountain: 0.2158, IoU.conveyer belt: 0.7103, IoU.canopy: 0.2669, IoU.washer: 0.7042, IoU.plaything: 0.3788, IoU.swimming pool: 0.7038, IoU.stool: 0.5613, IoU.barrel: 0.9004, IoU.basket: 0.4423, IoU.waterfall: 0.7865, IoU.tent: 0.9505, IoU.bag: 0.2371, IoU.minibike: 0.7198, IoU.cradle: 0.9042, IoU.oven: 0.2511, IoU.ball: 0.6237, IoU.food: 0.5949, IoU.step: 0.3122, IoU.tank: 0.6080, IoU.trade name: 0.3239, IoU.microwave: 0.4138, IoU.pot: 0.5447, IoU.animal: 0.5791, IoU.bicycle: 0.6188, IoU.lake: 0.5652, IoU.dishwasher: 0.8216, IoU.screen: 0.5664, IoU.blanket: 0.3947, IoU.sculpture: 0.7438, IoU.hood: 0.7391, IoU.sconce: 0.6232, IoU.vase: 0.5500, IoU.traffic light: 0.4931, IoU.tray: 0.2138, IoU.ashcan: 0.5041, IoU.fan: 0.7074, IoU.pier: 0.7570, IoU.crt screen: 0.0313, IoU.plate: 0.6289, IoU.monitor: 0.0168, IoU.bulletin board: 0.6108, IoU.shower: 0.0443, IoU.radiator: 0.6829, IoU.glass: 0.2400, IoU.clock: 0.5759, IoU.flag: 0.7192, Acc.wall: 0.8828, Acc.building: 0.9101, Acc.sky: 0.9767, Acc.floor: 0.9154, Acc.tree: 0.8915, Acc.ceiling: 0.9230, Acc.road: 0.9233, Acc.bed : 0.9575, Acc.windowpane: 0.8256, Acc.grass: 0.8132, Acc.cabinet: 0.7289, Acc.sidewalk: 0.7972, Acc.person: 0.9332, Acc.earth: 0.5605, Acc.door: 0.7219, Acc.table: 0.8420, Acc.mountain: 0.7607, Acc.plant: 0.6320, Acc.curtain: 0.8748, Acc.chair: 0.7686, Acc.car: 0.9408, Acc.water: 0.6615, Acc.painting: 0.9100, Acc.sofa: 0.8894, Acc.shelf: 0.5721, Acc.house: 0.8144, Acc.sea: 0.8425, Acc.mirror: 0.8301, Acc.rug: 0.8323, Acc.field: 0.6056, Acc.armchair: 0.7629, Acc.seat: 0.8667, Acc.fence: 0.7030, Acc.desk: 0.7828, Acc.rock: 0.6463, Acc.wardrobe: 0.7655, Acc.lamp: 0.8220, Acc.bathtub: 0.8605, Acc.railing: 0.5383, Acc.cushion: 0.7608, Acc.base: 0.6534, Acc.box: 0.4540, Acc.column: 0.7083, Acc.signboard: 0.5773, Acc.chest of drawers: 0.6049, Acc.counter: 0.5856, Acc.sand: 0.5121, Acc.sink: 0.8520, Acc.skyscraper: 0.7748, Acc.fireplace: 0.8867, Acc.refrigerator: 0.8414, Acc.grandstand: 0.7670, Acc.path: 0.3382, Acc.stairs: 0.3569, Acc.runway: 0.9320, Acc.case: 0.8583, Acc.pool table: 0.9746, Acc.pillow: 0.8270, Acc.screen door: 0.7386, Acc.stairway: 0.5491, Acc.river: 0.2509, Acc.bridge: 0.8930, Acc.bookcase: 0.5243, Acc.blind: 0.4936, Acc.coffee table: 0.8639, Acc.toilet: 0.9379, Acc.flower: 0.7039, Acc.book: 0.7977, Acc.hill: 0.1392, Acc.bench: 0.7439, Acc.countertop: 0.8167, Acc.stove: 0.9146, Acc.palm: 0.8094, Acc.kitchen island: 0.8795, Acc.computer: 0.8311, Acc.swivel chair: 0.6095, Acc.boat: 0.5482, Acc.bar: 0.6269, Acc.arcade machine: 0.9372, Acc.hovel: 0.7663, Acc.bus: 0.9733, Acc.towel: 0.9001, Acc.light: 0.7814, Acc.truck: 0.3238, Acc.tower: 0.5781, Acc.chandelier: 0.8919, Acc.awning: 0.5246, Acc.streetlight: 0.6418, Acc.booth: 0.6968, Acc.television receiver: 0.8948, Acc.airplane: 0.8434, Acc.dirt track: 0.1700, Acc.apparel: 0.7389, Acc.pole: 0.6589, Acc.land: 0.0665, Acc.bannister: 0.3189, Acc.escalator: 0.7771, Acc.ottoman: 0.7556, Acc.bottle: 0.6897, Acc.buffet: 0.6618, Acc.poster: 0.4354, Acc.stage: 0.4018, Acc.van: 0.7180, Acc.ship: 0.1761, Acc.fountain: 0.2191, Acc.conveyer belt: 0.9540, Acc.canopy: 0.5242, Acc.washer: 0.7403, Acc.plaything: 0.5506, Acc.swimming pool: 0.7250, Acc.stool: 0.7569, Acc.barrel: 0.9824, Acc.basket: 0.5737, Acc.waterfall: 0.8959, Acc.tent: 0.9824, Acc.bag: 0.3416, Acc.minibike: 0.9121, Acc.cradle: 0.9753, Acc.oven: 0.6974, Acc.ball: 0.7649, Acc.food: 0.7214, Acc.step: 0.4166, Acc.tank: 0.6632, Acc.trade name: 0.3922, Acc.microwave: 0.4618, Acc.pot: 0.6605, Acc.animal: 0.5921, Acc.bicycle: 0.8122, Acc.lake: 0.6362, Acc.dishwasher: 0.8823, Acc.screen: 0.9214, Acc.blanket: 0.5012, Acc.sculpture: 0.8914, Acc.hood: 0.7848, Acc.sconce: 0.7434, Acc.vase: 0.7407, Acc.traffic light: 0.7311, Acc.tray: 0.3312, Acc.ashcan: 0.7341, Acc.fan: 0.8646, Acc.pier: 0.8243, Acc.crt screen: 0.0933, Acc.plate: 0.8398, Acc.monitor: 0.0214, Acc.bulletin board: 0.8075, Acc.shower: 0.2560, Acc.radiator: 0.8627, Acc.glass: 0.2652, Acc.clock: 0.6958, Acc.flag: 0.8271 2023-11-22 19:04:56,312 - mmseg - INFO - Iter [134050/160000] lr: 1.545e-06, eta: 4:13:29, time: 1.102, data_time: 0.545, memory: 38143, decode.loss_cls: 0.1768, decode.loss_mask: 0.4328, decode.loss_dice: 0.6602, decode.d0.loss_cls: 1.2601, decode.d0.loss_mask: 0.4662, decode.d0.loss_dice: 0.7354, decode.d1.loss_cls: 0.2536, decode.d1.loss_mask: 0.4484, decode.d1.loss_dice: 0.6977, decode.d2.loss_cls: 0.2130, decode.d2.loss_mask: 0.4406, decode.d2.loss_dice: 0.6794, decode.d3.loss_cls: 0.1964, decode.d3.loss_mask: 0.4364, decode.d3.loss_dice: 0.6676, decode.d4.loss_cls: 0.1910, decode.d4.loss_mask: 0.4361, decode.d4.loss_dice: 0.6658, decode.d5.loss_cls: 0.1839, decode.d5.loss_mask: 0.4366, decode.d5.loss_dice: 0.6646, decode.d6.loss_cls: 0.1793, decode.d6.loss_mask: 0.4364, decode.d6.loss_dice: 0.6609, decode.d7.loss_cls: 0.1777, decode.d7.loss_mask: 0.4346, decode.d7.loss_dice: 0.6620, decode.d8.loss_cls: 0.1766, decode.d8.loss_mask: 0.4346, decode.d8.loss_dice: 0.6610, loss: 14.1660, grad_norm: 66.5283 2023-11-22 19:05:24,582 - mmseg - INFO - Iter [134100/160000] lr: 1.542e-06, eta: 4:13:00, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1733, decode.loss_mask: 0.4345, decode.loss_dice: 0.6680, decode.d0.loss_cls: 1.2419, decode.d0.loss_mask: 0.4653, decode.d0.loss_dice: 0.7400, decode.d1.loss_cls: 0.2437, decode.d1.loss_mask: 0.4477, decode.d1.loss_dice: 0.7036, decode.d2.loss_cls: 0.2085, decode.d2.loss_mask: 0.4389, decode.d2.loss_dice: 0.6819, decode.d3.loss_cls: 0.1901, decode.d3.loss_mask: 0.4365, decode.d3.loss_dice: 0.6717, decode.d4.loss_cls: 0.1823, decode.d4.loss_mask: 0.4358, decode.d4.loss_dice: 0.6675, decode.d5.loss_cls: 0.1768, decode.d5.loss_mask: 0.4358, decode.d5.loss_dice: 0.6722, decode.d6.loss_cls: 0.1766, decode.d6.loss_mask: 0.4329, decode.d6.loss_dice: 0.6699, decode.d7.loss_cls: 0.1728, decode.d7.loss_mask: 0.4321, decode.d7.loss_dice: 0.6690, decode.d8.loss_cls: 0.1703, decode.d8.loss_mask: 0.4352, decode.d8.loss_dice: 0.6651, loss: 14.1397, grad_norm: 72.3728 2023-11-22 19:05:53,137 - mmseg - INFO - Iter [134150/160000] lr: 1.539e-06, eta: 4:12:30, time: 0.571, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1565, decode.loss_mask: 0.4277, decode.loss_dice: 0.6670, decode.d0.loss_cls: 1.2305, decode.d0.loss_mask: 0.4561, decode.d0.loss_dice: 0.7353, decode.d1.loss_cls: 0.2312, decode.d1.loss_mask: 0.4417, decode.d1.loss_dice: 0.6963, decode.d2.loss_cls: 0.1873, decode.d2.loss_mask: 0.4339, decode.d2.loss_dice: 0.6818, decode.d3.loss_cls: 0.1679, decode.d3.loss_mask: 0.4310, decode.d3.loss_dice: 0.6715, decode.d4.loss_cls: 0.1626, decode.d4.loss_mask: 0.4289, decode.d4.loss_dice: 0.6683, decode.d5.loss_cls: 0.1611, decode.d5.loss_mask: 0.4298, decode.d5.loss_dice: 0.6733, decode.d6.loss_cls: 0.1572, decode.d6.loss_mask: 0.4301, decode.d6.loss_dice: 0.6679, decode.d7.loss_cls: 0.1515, decode.d7.loss_mask: 0.4284, decode.d7.loss_dice: 0.6673, decode.d8.loss_cls: 0.1561, decode.d8.loss_mask: 0.4292, decode.d8.loss_dice: 0.6698, loss: 13.8972, grad_norm: 63.6235 2023-11-22 19:06:21,513 - mmseg - INFO - Iter [134200/160000] lr: 1.536e-06, eta: 4:12:01, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1686, decode.loss_mask: 0.4321, decode.loss_dice: 0.6549, decode.d0.loss_cls: 1.2619, decode.d0.loss_mask: 0.4651, decode.d0.loss_dice: 0.7276, decode.d1.loss_cls: 0.2529, decode.d1.loss_mask: 0.4429, decode.d1.loss_dice: 0.6829, decode.d2.loss_cls: 0.1994, decode.d2.loss_mask: 0.4387, decode.d2.loss_dice: 0.6690, decode.d3.loss_cls: 0.1932, decode.d3.loss_mask: 0.4346, decode.d3.loss_dice: 0.6615, decode.d4.loss_cls: 0.1840, decode.d4.loss_mask: 0.4346, decode.d4.loss_dice: 0.6587, decode.d5.loss_cls: 0.1760, decode.d5.loss_mask: 0.4340, decode.d5.loss_dice: 0.6557, decode.d6.loss_cls: 0.1792, decode.d6.loss_mask: 0.4323, decode.d6.loss_dice: 0.6568, decode.d7.loss_cls: 0.1713, decode.d7.loss_mask: 0.4310, decode.d7.loss_dice: 0.6537, decode.d8.loss_cls: 0.1697, decode.d8.loss_mask: 0.4320, decode.d8.loss_dice: 0.6548, loss: 14.0090, grad_norm: 72.3219 2023-11-22 19:06:49,743 - mmseg - INFO - Iter [134250/160000] lr: 1.533e-06, eta: 4:11:31, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1674, decode.loss_mask: 0.4467, decode.loss_dice: 0.6731, decode.d0.loss_cls: 1.2353, decode.d0.loss_mask: 0.4799, decode.d0.loss_dice: 0.7459, decode.d1.loss_cls: 0.2563, decode.d1.loss_mask: 0.4612, decode.d1.loss_dice: 0.7108, decode.d2.loss_cls: 0.2072, decode.d2.loss_mask: 0.4538, decode.d2.loss_dice: 0.6942, decode.d3.loss_cls: 0.1917, decode.d3.loss_mask: 0.4494, decode.d3.loss_dice: 0.6810, decode.d4.loss_cls: 0.1827, decode.d4.loss_mask: 0.4488, decode.d4.loss_dice: 0.6813, decode.d5.loss_cls: 0.1798, decode.d5.loss_mask: 0.4471, decode.d5.loss_dice: 0.6832, decode.d6.loss_cls: 0.1726, decode.d6.loss_mask: 0.4464, decode.d6.loss_dice: 0.6789, decode.d7.loss_cls: 0.1706, decode.d7.loss_mask: 0.4471, decode.d7.loss_dice: 0.6775, decode.d8.loss_cls: 0.1711, decode.d8.loss_mask: 0.4470, decode.d8.loss_dice: 0.6767, loss: 14.3648, grad_norm: 62.5175 2023-11-22 19:07:18,045 - mmseg - INFO - Iter [134300/160000] lr: 1.530e-06, eta: 4:11:02, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1751, decode.loss_mask: 0.4287, decode.loss_dice: 0.6645, decode.d0.loss_cls: 1.2896, decode.d0.loss_mask: 0.4622, decode.d0.loss_dice: 0.7421, decode.d1.loss_cls: 0.2587, decode.d1.loss_mask: 0.4465, decode.d1.loss_dice: 0.6999, decode.d2.loss_cls: 0.2107, decode.d2.loss_mask: 0.4383, decode.d2.loss_dice: 0.6804, decode.d3.loss_cls: 0.1901, decode.d3.loss_mask: 0.4334, decode.d3.loss_dice: 0.6697, decode.d4.loss_cls: 0.1825, decode.d4.loss_mask: 0.4319, decode.d4.loss_dice: 0.6678, decode.d5.loss_cls: 0.1753, decode.d5.loss_mask: 0.4312, decode.d5.loss_dice: 0.6716, decode.d6.loss_cls: 0.1756, decode.d6.loss_mask: 0.4295, decode.d6.loss_dice: 0.6653, decode.d7.loss_cls: 0.1770, decode.d7.loss_mask: 0.4300, decode.d7.loss_dice: 0.6647, decode.d8.loss_cls: 0.1756, decode.d8.loss_mask: 0.4290, decode.d8.loss_dice: 0.6667, loss: 14.1639, grad_norm: 65.0027 2023-11-22 19:07:46,348 - mmseg - INFO - Iter [134350/160000] lr: 1.527e-06, eta: 4:10:32, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1828, decode.loss_mask: 0.4595, decode.loss_dice: 0.6900, decode.d0.loss_cls: 1.2632, decode.d0.loss_mask: 0.4946, decode.d0.loss_dice: 0.7644, decode.d1.loss_cls: 0.2669, decode.d1.loss_mask: 0.4771, decode.d1.loss_dice: 0.7260, decode.d2.loss_cls: 0.2187, decode.d2.loss_mask: 0.4676, decode.d2.loss_dice: 0.7084, decode.d3.loss_cls: 0.2037, decode.d3.loss_mask: 0.4643, decode.d3.loss_dice: 0.6950, decode.d4.loss_cls: 0.1954, decode.d4.loss_mask: 0.4633, decode.d4.loss_dice: 0.6957, decode.d5.loss_cls: 0.1907, decode.d5.loss_mask: 0.4620, decode.d5.loss_dice: 0.6932, decode.d6.loss_cls: 0.1895, decode.d6.loss_mask: 0.4600, decode.d6.loss_dice: 0.6908, decode.d7.loss_cls: 0.1869, decode.d7.loss_mask: 0.4603, decode.d7.loss_dice: 0.6919, decode.d8.loss_cls: 0.1801, decode.d8.loss_mask: 0.4613, decode.d8.loss_dice: 0.6929, loss: 14.7963, grad_norm: 65.2006 2023-11-22 19:08:14,410 - mmseg - INFO - Iter [134400/160000] lr: 1.524e-06, eta: 4:10:03, time: 0.561, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1585, decode.loss_mask: 0.4465, decode.loss_dice: 0.6551, decode.d0.loss_cls: 1.2162, decode.d0.loss_mask: 0.4813, decode.d0.loss_dice: 0.7281, decode.d1.loss_cls: 0.2333, decode.d1.loss_mask: 0.4607, decode.d1.loss_dice: 0.6888, decode.d2.loss_cls: 0.1941, decode.d2.loss_mask: 0.4525, decode.d2.loss_dice: 0.6708, decode.d3.loss_cls: 0.1834, decode.d3.loss_mask: 0.4487, decode.d3.loss_dice: 0.6593, decode.d4.loss_cls: 0.1770, decode.d4.loss_mask: 0.4474, decode.d4.loss_dice: 0.6555, decode.d5.loss_cls: 0.1713, decode.d5.loss_mask: 0.4468, decode.d5.loss_dice: 0.6594, decode.d6.loss_cls: 0.1663, decode.d6.loss_mask: 0.4467, decode.d6.loss_dice: 0.6532, decode.d7.loss_cls: 0.1624, decode.d7.loss_mask: 0.4473, decode.d7.loss_dice: 0.6506, decode.d8.loss_cls: 0.1634, decode.d8.loss_mask: 0.4465, decode.d8.loss_dice: 0.6525, loss: 14.0239, grad_norm: 64.1567 2023-11-22 19:08:42,781 - mmseg - INFO - Iter [134450/160000] lr: 1.521e-06, eta: 4:09:33, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1642, decode.loss_mask: 0.4588, decode.loss_dice: 0.6575, decode.d0.loss_cls: 1.2501, decode.d0.loss_mask: 0.4943, decode.d0.loss_dice: 0.7313, decode.d1.loss_cls: 0.2391, decode.d1.loss_mask: 0.4782, decode.d1.loss_dice: 0.6999, decode.d2.loss_cls: 0.1939, decode.d2.loss_mask: 0.4653, decode.d2.loss_dice: 0.6752, decode.d3.loss_cls: 0.1806, decode.d3.loss_mask: 0.4616, decode.d3.loss_dice: 0.6613, decode.d4.loss_cls: 0.1708, decode.d4.loss_mask: 0.4624, decode.d4.loss_dice: 0.6653, decode.d5.loss_cls: 0.1696, decode.d5.loss_mask: 0.4602, decode.d5.loss_dice: 0.6636, decode.d6.loss_cls: 0.1686, decode.d6.loss_mask: 0.4590, decode.d6.loss_dice: 0.6594, decode.d7.loss_cls: 0.1660, decode.d7.loss_mask: 0.4575, decode.d7.loss_dice: 0.6575, decode.d8.loss_cls: 0.1645, decode.d8.loss_mask: 0.4576, decode.d8.loss_dice: 0.6601, loss: 14.2531, grad_norm: 65.9969 2023-11-22 19:09:11,204 - mmseg - INFO - Iter [134500/160000] lr: 1.518e-06, eta: 4:09:04, time: 0.568, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1664, decode.loss_mask: 0.4341, decode.loss_dice: 0.6591, decode.d0.loss_cls: 1.2701, decode.d0.loss_mask: 0.4629, decode.d0.loss_dice: 0.7200, decode.d1.loss_cls: 0.2384, decode.d1.loss_mask: 0.4460, decode.d1.loss_dice: 0.6873, decode.d2.loss_cls: 0.1918, decode.d2.loss_mask: 0.4391, decode.d2.loss_dice: 0.6755, decode.d3.loss_cls: 0.1811, decode.d3.loss_mask: 0.4354, decode.d3.loss_dice: 0.6634, decode.d4.loss_cls: 0.1754, decode.d4.loss_mask: 0.4342, decode.d4.loss_dice: 0.6637, decode.d5.loss_cls: 0.1735, decode.d5.loss_mask: 0.4337, decode.d5.loss_dice: 0.6653, decode.d6.loss_cls: 0.1699, decode.d6.loss_mask: 0.4328, decode.d6.loss_dice: 0.6636, decode.d7.loss_cls: 0.1647, decode.d7.loss_mask: 0.4335, decode.d7.loss_dice: 0.6594, decode.d8.loss_cls: 0.1678, decode.d8.loss_mask: 0.4323, decode.d8.loss_dice: 0.6601, loss: 14.0006, grad_norm: 70.5820 2023-11-22 19:09:39,522 - mmseg - INFO - Iter [134550/160000] lr: 1.515e-06, eta: 4:08:34, time: 0.566, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1666, decode.loss_mask: 0.4351, decode.loss_dice: 0.6718, decode.d0.loss_cls: 1.2325, decode.d0.loss_mask: 0.4658, decode.d0.loss_dice: 0.7428, decode.d1.loss_cls: 0.2432, decode.d1.loss_mask: 0.4501, decode.d1.loss_dice: 0.7070, decode.d2.loss_cls: 0.2000, decode.d2.loss_mask: 0.4402, decode.d2.loss_dice: 0.6908, decode.d3.loss_cls: 0.1877, decode.d3.loss_mask: 0.4369, decode.d3.loss_dice: 0.6739, decode.d4.loss_cls: 0.1770, decode.d4.loss_mask: 0.4361, decode.d4.loss_dice: 0.6742, decode.d5.loss_cls: 0.1686, decode.d5.loss_mask: 0.4371, decode.d5.loss_dice: 0.6781, decode.d6.loss_cls: 0.1726, decode.d6.loss_mask: 0.4346, decode.d6.loss_dice: 0.6764, decode.d7.loss_cls: 0.1684, decode.d7.loss_mask: 0.4353, decode.d7.loss_dice: 0.6763, decode.d8.loss_cls: 0.1668, decode.d8.loss_mask: 0.4355, decode.d8.loss_dice: 0.6745, loss: 14.1560, grad_norm: 70.5735 2023-11-22 19:10:07,745 - mmseg - INFO - Iter [134600/160000] lr: 1.512e-06, eta: 4:08:05, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1703, decode.loss_mask: 0.4545, decode.loss_dice: 0.6836, decode.d0.loss_cls: 1.2639, decode.d0.loss_mask: 0.4848, decode.d0.loss_dice: 0.7522, decode.d1.loss_cls: 0.2466, decode.d1.loss_mask: 0.4686, decode.d1.loss_dice: 0.7175, decode.d2.loss_cls: 0.2095, decode.d2.loss_mask: 0.4605, decode.d2.loss_dice: 0.7055, decode.d3.loss_cls: 0.1879, decode.d3.loss_mask: 0.4575, decode.d3.loss_dice: 0.6864, decode.d4.loss_cls: 0.1837, decode.d4.loss_mask: 0.4576, decode.d4.loss_dice: 0.6852, decode.d5.loss_cls: 0.1796, decode.d5.loss_mask: 0.4560, decode.d5.loss_dice: 0.6849, decode.d6.loss_cls: 0.1739, decode.d6.loss_mask: 0.4571, decode.d6.loss_dice: 0.6842, decode.d7.loss_cls: 0.1713, decode.d7.loss_mask: 0.4547, decode.d7.loss_dice: 0.6833, decode.d8.loss_cls: 0.1721, decode.d8.loss_mask: 0.4532, decode.d8.loss_dice: 0.6810, loss: 14.5270, grad_norm: 66.9984 2023-11-22 19:10:36,172 - mmseg - INFO - Iter [134650/160000] lr: 1.509e-06, eta: 4:07:35, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1724, decode.loss_mask: 0.4215, decode.loss_dice: 0.6660, decode.d0.loss_cls: 1.2735, decode.d0.loss_mask: 0.4493, decode.d0.loss_dice: 0.7339, decode.d1.loss_cls: 0.2581, decode.d1.loss_mask: 0.4384, decode.d1.loss_dice: 0.6906, decode.d2.loss_cls: 0.2109, decode.d2.loss_mask: 0.4294, decode.d2.loss_dice: 0.6770, decode.d3.loss_cls: 0.1909, decode.d3.loss_mask: 0.4252, decode.d3.loss_dice: 0.6627, decode.d4.loss_cls: 0.1842, decode.d4.loss_mask: 0.4237, decode.d4.loss_dice: 0.6661, decode.d5.loss_cls: 0.1804, decode.d5.loss_mask: 0.4217, decode.d5.loss_dice: 0.6657, decode.d6.loss_cls: 0.1759, decode.d6.loss_mask: 0.4219, decode.d6.loss_dice: 0.6650, decode.d7.loss_cls: 0.1734, decode.d7.loss_mask: 0.4208, decode.d7.loss_dice: 0.6651, decode.d8.loss_cls: 0.1744, decode.d8.loss_mask: 0.4216, decode.d8.loss_dice: 0.6622, loss: 14.0220, grad_norm: 64.4012 2023-11-22 19:11:04,238 - mmseg - INFO - Iter [134700/160000] lr: 1.506e-06, eta: 4:07:06, time: 0.561, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1734, decode.loss_mask: 0.4435, decode.loss_dice: 0.6617, decode.d0.loss_cls: 1.2579, decode.d0.loss_mask: 0.4796, decode.d0.loss_dice: 0.7361, decode.d1.loss_cls: 0.2561, decode.d1.loss_mask: 0.4627, decode.d1.loss_dice: 0.6965, decode.d2.loss_cls: 0.2024, decode.d2.loss_mask: 0.4507, decode.d2.loss_dice: 0.6752, decode.d3.loss_cls: 0.1859, decode.d3.loss_mask: 0.4486, decode.d3.loss_dice: 0.6628, decode.d4.loss_cls: 0.1787, decode.d4.loss_mask: 0.4471, decode.d4.loss_dice: 0.6702, decode.d5.loss_cls: 0.1804, decode.d5.loss_mask: 0.4453, decode.d5.loss_dice: 0.6640, decode.d6.loss_cls: 0.1772, decode.d6.loss_mask: 0.4460, decode.d6.loss_dice: 0.6644, decode.d7.loss_cls: 0.1764, decode.d7.loss_mask: 0.4445, decode.d7.loss_dice: 0.6638, decode.d8.loss_cls: 0.1709, decode.d8.loss_mask: 0.4455, decode.d8.loss_dice: 0.6633, loss: 14.2307, grad_norm: 65.5513 2023-11-22 19:11:32,920 - mmseg - INFO - Iter [134750/160000] lr: 1.503e-06, eta: 4:06:36, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1813, decode.loss_mask: 0.4428, decode.loss_dice: 0.6727, decode.d0.loss_cls: 1.2735, decode.d0.loss_mask: 0.4813, decode.d0.loss_dice: 0.7430, decode.d1.loss_cls: 0.2653, decode.d1.loss_mask: 0.4596, decode.d1.loss_dice: 0.7075, decode.d2.loss_cls: 0.2157, decode.d2.loss_mask: 0.4537, decode.d2.loss_dice: 0.6887, decode.d3.loss_cls: 0.1985, decode.d3.loss_mask: 0.4477, decode.d3.loss_dice: 0.6751, decode.d4.loss_cls: 0.1946, decode.d4.loss_mask: 0.4475, decode.d4.loss_dice: 0.6807, decode.d5.loss_cls: 0.1893, decode.d5.loss_mask: 0.4457, decode.d5.loss_dice: 0.6819, decode.d6.loss_cls: 0.1886, decode.d6.loss_mask: 0.4424, decode.d6.loss_dice: 0.6737, decode.d7.loss_cls: 0.1836, decode.d7.loss_mask: 0.4432, decode.d7.loss_dice: 0.6750, decode.d8.loss_cls: 0.1827, decode.d8.loss_mask: 0.4419, decode.d8.loss_dice: 0.6741, loss: 14.4514, grad_norm: 65.1099 2023-11-22 19:12:01,387 - mmseg - INFO - Iter [134800/160000] lr: 1.500e-06, eta: 4:06:07, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1766, decode.loss_mask: 0.4430, decode.loss_dice: 0.6731, decode.d0.loss_cls: 1.2835, decode.d0.loss_mask: 0.4700, decode.d0.loss_dice: 0.7395, decode.d1.loss_cls: 0.2596, decode.d1.loss_mask: 0.4563, decode.d1.loss_dice: 0.7065, decode.d2.loss_cls: 0.2059, decode.d2.loss_mask: 0.4518, decode.d2.loss_dice: 0.6900, decode.d3.loss_cls: 0.1968, decode.d3.loss_mask: 0.4451, decode.d3.loss_dice: 0.6764, decode.d4.loss_cls: 0.1920, decode.d4.loss_mask: 0.4452, decode.d4.loss_dice: 0.6762, decode.d5.loss_cls: 0.1801, decode.d5.loss_mask: 0.4447, decode.d5.loss_dice: 0.6746, decode.d6.loss_cls: 0.1820, decode.d6.loss_mask: 0.4434, decode.d6.loss_dice: 0.6715, decode.d7.loss_cls: 0.1778, decode.d7.loss_mask: 0.4428, decode.d7.loss_dice: 0.6705, decode.d8.loss_cls: 0.1781, decode.d8.loss_mask: 0.4416, decode.d8.loss_dice: 0.6741, loss: 14.3687, grad_norm: 67.7010 2023-11-22 19:12:29,697 - mmseg - INFO - Iter [134850/160000] lr: 1.497e-06, eta: 4:05:37, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1810, decode.loss_mask: 0.4304, decode.loss_dice: 0.6682, decode.d0.loss_cls: 1.2937, decode.d0.loss_mask: 0.4691, decode.d0.loss_dice: 0.7396, decode.d1.loss_cls: 0.2588, decode.d1.loss_mask: 0.4492, decode.d1.loss_dice: 0.7046, decode.d2.loss_cls: 0.2173, decode.d2.loss_mask: 0.4399, decode.d2.loss_dice: 0.6827, decode.d3.loss_cls: 0.1977, decode.d3.loss_mask: 0.4365, decode.d3.loss_dice: 0.6728, decode.d4.loss_cls: 0.1936, decode.d4.loss_mask: 0.4334, decode.d4.loss_dice: 0.6719, decode.d5.loss_cls: 0.1873, decode.d5.loss_mask: 0.4327, decode.d5.loss_dice: 0.6720, decode.d6.loss_cls: 0.1859, decode.d6.loss_mask: 0.4315, decode.d6.loss_dice: 0.6655, decode.d7.loss_cls: 0.1876, decode.d7.loss_mask: 0.4307, decode.d7.loss_dice: 0.6673, decode.d8.loss_cls: 0.1853, decode.d8.loss_mask: 0.4308, decode.d8.loss_dice: 0.6707, loss: 14.2878, grad_norm: 70.2363 2023-11-22 19:12:57,882 - mmseg - INFO - Iter [134900/160000] lr: 1.494e-06, eta: 4:05:08, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1584, decode.loss_mask: 0.4149, decode.loss_dice: 0.6327, decode.d0.loss_cls: 1.2448, decode.d0.loss_mask: 0.4426, decode.d0.loss_dice: 0.6991, decode.d1.loss_cls: 0.2226, decode.d1.loss_mask: 0.4271, decode.d1.loss_dice: 0.6627, decode.d2.loss_cls: 0.1939, decode.d2.loss_mask: 0.4206, decode.d2.loss_dice: 0.6442, decode.d3.loss_cls: 0.1743, decode.d3.loss_mask: 0.4183, decode.d3.loss_dice: 0.6355, decode.d4.loss_cls: 0.1679, decode.d4.loss_mask: 0.4176, decode.d4.loss_dice: 0.6385, decode.d5.loss_cls: 0.1648, decode.d5.loss_mask: 0.4181, decode.d5.loss_dice: 0.6368, decode.d6.loss_cls: 0.1625, decode.d6.loss_mask: 0.4164, decode.d6.loss_dice: 0.6311, decode.d7.loss_cls: 0.1572, decode.d7.loss_mask: 0.4157, decode.d7.loss_dice: 0.6298, decode.d8.loss_cls: 0.1600, decode.d8.loss_mask: 0.4136, decode.d8.loss_dice: 0.6295, loss: 13.4511, grad_norm: 68.3746 2023-11-22 19:13:26,147 - mmseg - INFO - Iter [134950/160000] lr: 1.491e-06, eta: 4:04:38, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1751, decode.loss_mask: 0.4182, decode.loss_dice: 0.6576, decode.d0.loss_cls: 1.2619, decode.d0.loss_mask: 0.4519, decode.d0.loss_dice: 0.7334, decode.d1.loss_cls: 0.2505, decode.d1.loss_mask: 0.4312, decode.d1.loss_dice: 0.6869, decode.d2.loss_cls: 0.2112, decode.d2.loss_mask: 0.4232, decode.d2.loss_dice: 0.6719, decode.d3.loss_cls: 0.1908, decode.d3.loss_mask: 0.4191, decode.d3.loss_dice: 0.6597, decode.d4.loss_cls: 0.1879, decode.d4.loss_mask: 0.4185, decode.d4.loss_dice: 0.6570, decode.d5.loss_cls: 0.1819, decode.d5.loss_mask: 0.4215, decode.d5.loss_dice: 0.6542, decode.d6.loss_cls: 0.1784, decode.d6.loss_mask: 0.4192, decode.d6.loss_dice: 0.6548, decode.d7.loss_cls: 0.1753, decode.d7.loss_mask: 0.4194, decode.d7.loss_dice: 0.6543, decode.d8.loss_cls: 0.1751, decode.d8.loss_mask: 0.4191, decode.d8.loss_dice: 0.6498, loss: 13.9091, grad_norm: 62.7675 2023-11-22 19:13:54,365 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 19:13:54,365 - mmseg - INFO - Iter [135000/160000] lr: 1.488e-06, eta: 4:04:09, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1699, decode.loss_mask: 0.4523, decode.loss_dice: 0.6803, decode.d0.loss_cls: 1.2372, decode.d0.loss_mask: 0.4891, decode.d0.loss_dice: 0.7536, decode.d1.loss_cls: 0.2413, decode.d1.loss_mask: 0.4696, decode.d1.loss_dice: 0.7154, decode.d2.loss_cls: 0.2074, decode.d2.loss_mask: 0.4582, decode.d2.loss_dice: 0.6951, decode.d3.loss_cls: 0.1868, decode.d3.loss_mask: 0.4566, decode.d3.loss_dice: 0.6806, decode.d4.loss_cls: 0.1799, decode.d4.loss_mask: 0.4546, decode.d4.loss_dice: 0.6822, decode.d5.loss_cls: 0.1781, decode.d5.loss_mask: 0.4543, decode.d5.loss_dice: 0.6841, decode.d6.loss_cls: 0.1737, decode.d6.loss_mask: 0.4533, decode.d6.loss_dice: 0.6768, decode.d7.loss_cls: 0.1712, decode.d7.loss_mask: 0.4530, decode.d7.loss_dice: 0.6785, decode.d8.loss_cls: 0.1673, decode.d8.loss_mask: 0.4534, decode.d8.loss_dice: 0.6812, loss: 14.4348, grad_norm: 65.6448 2023-11-22 19:14:22,985 - mmseg - INFO - Iter [135050/160000] lr: 1.485e-06, eta: 4:03:39, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1720, decode.loss_mask: 0.4442, decode.loss_dice: 0.6683, decode.d0.loss_cls: 1.2362, decode.d0.loss_mask: 0.4771, decode.d0.loss_dice: 0.7302, decode.d1.loss_cls: 0.2505, decode.d1.loss_mask: 0.4566, decode.d1.loss_dice: 0.6936, decode.d2.loss_cls: 0.2138, decode.d2.loss_mask: 0.4495, decode.d2.loss_dice: 0.6770, decode.d3.loss_cls: 0.1940, decode.d3.loss_mask: 0.4488, decode.d3.loss_dice: 0.6642, decode.d4.loss_cls: 0.1897, decode.d4.loss_mask: 0.4461, decode.d4.loss_dice: 0.6693, decode.d5.loss_cls: 0.1861, decode.d5.loss_mask: 0.4465, decode.d5.loss_dice: 0.6666, decode.d6.loss_cls: 0.1829, decode.d6.loss_mask: 0.4461, decode.d6.loss_dice: 0.6621, decode.d7.loss_cls: 0.1792, decode.d7.loss_mask: 0.4445, decode.d7.loss_dice: 0.6662, decode.d8.loss_cls: 0.1807, decode.d8.loss_mask: 0.4440, decode.d8.loss_dice: 0.6623, loss: 14.2482, grad_norm: 64.3025 2023-11-22 19:14:51,238 - mmseg - INFO - Iter [135100/160000] lr: 1.482e-06, eta: 4:03:10, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1645, decode.loss_mask: 0.4456, decode.loss_dice: 0.6707, decode.d0.loss_cls: 1.2221, decode.d0.loss_mask: 0.4772, decode.d0.loss_dice: 0.7314, decode.d1.loss_cls: 0.2325, decode.d1.loss_mask: 0.4645, decode.d1.loss_dice: 0.6988, decode.d2.loss_cls: 0.1922, decode.d2.loss_mask: 0.4541, decode.d2.loss_dice: 0.6840, decode.d3.loss_cls: 0.1780, decode.d3.loss_mask: 0.4510, decode.d3.loss_dice: 0.6748, decode.d4.loss_cls: 0.1741, decode.d4.loss_mask: 0.4516, decode.d4.loss_dice: 0.6785, decode.d5.loss_cls: 0.1711, decode.d5.loss_mask: 0.4496, decode.d5.loss_dice: 0.6743, decode.d6.loss_cls: 0.1690, decode.d6.loss_mask: 0.4484, decode.d6.loss_dice: 0.6701, decode.d7.loss_cls: 0.1654, decode.d7.loss_mask: 0.4462, decode.d7.loss_dice: 0.6680, decode.d8.loss_cls: 0.1660, decode.d8.loss_mask: 0.4455, decode.d8.loss_dice: 0.6661, loss: 14.1853, grad_norm: 66.8364 2023-11-22 19:15:21,849 - mmseg - INFO - Iter [135150/160000] lr: 1.479e-06, eta: 4:02:41, time: 0.612, data_time: 0.058, memory: 38143, decode.loss_cls: 0.1815, decode.loss_mask: 0.4435, decode.loss_dice: 0.6803, decode.d0.loss_cls: 1.2697, decode.d0.loss_mask: 0.4763, decode.d0.loss_dice: 0.7563, decode.d1.loss_cls: 0.2654, decode.d1.loss_mask: 0.4621, decode.d1.loss_dice: 0.7131, decode.d2.loss_cls: 0.2170, decode.d2.loss_mask: 0.4513, decode.d2.loss_dice: 0.7054, decode.d3.loss_cls: 0.2016, decode.d3.loss_mask: 0.4475, decode.d3.loss_dice: 0.6875, decode.d4.loss_cls: 0.1936, decode.d4.loss_mask: 0.4459, decode.d4.loss_dice: 0.6882, decode.d5.loss_cls: 0.1915, decode.d5.loss_mask: 0.4453, decode.d5.loss_dice: 0.6884, decode.d6.loss_cls: 0.1879, decode.d6.loss_mask: 0.4450, decode.d6.loss_dice: 0.6816, decode.d7.loss_cls: 0.1872, decode.d7.loss_mask: 0.4447, decode.d7.loss_dice: 0.6808, decode.d8.loss_cls: 0.1828, decode.d8.loss_mask: 0.4437, decode.d8.loss_dice: 0.6817, loss: 14.5468, grad_norm: 72.1858 2023-11-22 19:15:50,214 - mmseg - INFO - Iter [135200/160000] lr: 1.476e-06, eta: 4:02:11, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1726, decode.loss_mask: 0.4205, decode.loss_dice: 0.6529, decode.d0.loss_cls: 1.2840, decode.d0.loss_mask: 0.4526, decode.d0.loss_dice: 0.7264, decode.d1.loss_cls: 0.2572, decode.d1.loss_mask: 0.4321, decode.d1.loss_dice: 0.6860, decode.d2.loss_cls: 0.2139, decode.d2.loss_mask: 0.4246, decode.d2.loss_dice: 0.6713, decode.d3.loss_cls: 0.1987, decode.d3.loss_mask: 0.4215, decode.d3.loss_dice: 0.6590, decode.d4.loss_cls: 0.1900, decode.d4.loss_mask: 0.4214, decode.d4.loss_dice: 0.6586, decode.d5.loss_cls: 0.1846, decode.d5.loss_mask: 0.4219, decode.d5.loss_dice: 0.6602, decode.d6.loss_cls: 0.1792, decode.d6.loss_mask: 0.4217, decode.d6.loss_dice: 0.6532, decode.d7.loss_cls: 0.1775, decode.d7.loss_mask: 0.4207, decode.d7.loss_dice: 0.6537, decode.d8.loss_cls: 0.1765, decode.d8.loss_mask: 0.4201, decode.d8.loss_dice: 0.6502, loss: 13.9630, grad_norm: 63.0093 2023-11-22 19:16:18,345 - mmseg - INFO - Iter [135250/160000] lr: 1.473e-06, eta: 4:01:42, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1768, decode.loss_mask: 0.4326, decode.loss_dice: 0.6693, decode.d0.loss_cls: 1.2706, decode.d0.loss_mask: 0.4710, decode.d0.loss_dice: 0.7453, decode.d1.loss_cls: 0.2600, decode.d1.loss_mask: 0.4487, decode.d1.loss_dice: 0.6964, decode.d2.loss_cls: 0.2164, decode.d2.loss_mask: 0.4409, decode.d2.loss_dice: 0.6854, decode.d3.loss_cls: 0.1951, decode.d3.loss_mask: 0.4365, decode.d3.loss_dice: 0.6754, decode.d4.loss_cls: 0.1908, decode.d4.loss_mask: 0.4347, decode.d4.loss_dice: 0.6686, decode.d5.loss_cls: 0.1866, decode.d5.loss_mask: 0.4347, decode.d5.loss_dice: 0.6734, decode.d6.loss_cls: 0.1806, decode.d6.loss_mask: 0.4357, decode.d6.loss_dice: 0.6686, decode.d7.loss_cls: 0.1777, decode.d7.loss_mask: 0.4339, decode.d7.loss_dice: 0.6715, decode.d8.loss_cls: 0.1800, decode.d8.loss_mask: 0.4337, decode.d8.loss_dice: 0.6702, loss: 14.2608, grad_norm: 65.5609 2023-11-22 19:16:46,575 - mmseg - INFO - Iter [135300/160000] lr: 1.470e-06, eta: 4:01:12, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1702, decode.loss_mask: 0.4374, decode.loss_dice: 0.6613, decode.d0.loss_cls: 1.2312, decode.d0.loss_mask: 0.4770, decode.d0.loss_dice: 0.7272, decode.d1.loss_cls: 0.2444, decode.d1.loss_mask: 0.4549, decode.d1.loss_dice: 0.6977, decode.d2.loss_cls: 0.2095, decode.d2.loss_mask: 0.4443, decode.d2.loss_dice: 0.6740, decode.d3.loss_cls: 0.1931, decode.d3.loss_mask: 0.4409, decode.d3.loss_dice: 0.6643, decode.d4.loss_cls: 0.1870, decode.d4.loss_mask: 0.4415, decode.d4.loss_dice: 0.6635, decode.d5.loss_cls: 0.1806, decode.d5.loss_mask: 0.4393, decode.d5.loss_dice: 0.6650, decode.d6.loss_cls: 0.1774, decode.d6.loss_mask: 0.4405, decode.d6.loss_dice: 0.6614, decode.d7.loss_cls: 0.1696, decode.d7.loss_mask: 0.4397, decode.d7.loss_dice: 0.6641, decode.d8.loss_cls: 0.1724, decode.d8.loss_mask: 0.4386, decode.d8.loss_dice: 0.6613, loss: 14.1296, grad_norm: 63.4242 2023-11-22 19:17:15,046 - mmseg - INFO - Iter [135350/160000] lr: 1.467e-06, eta: 4:00:43, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1683, decode.loss_mask: 0.4448, decode.loss_dice: 0.6777, decode.d0.loss_cls: 1.2649, decode.d0.loss_mask: 0.4751, decode.d0.loss_dice: 0.7479, decode.d1.loss_cls: 0.2499, decode.d1.loss_mask: 0.4568, decode.d1.loss_dice: 0.7067, decode.d2.loss_cls: 0.2068, decode.d2.loss_mask: 0.4486, decode.d2.loss_dice: 0.6957, decode.d3.loss_cls: 0.1875, decode.d3.loss_mask: 0.4461, decode.d3.loss_dice: 0.6808, decode.d4.loss_cls: 0.1793, decode.d4.loss_mask: 0.4462, decode.d4.loss_dice: 0.6842, decode.d5.loss_cls: 0.1778, decode.d5.loss_mask: 0.4455, decode.d5.loss_dice: 0.6851, decode.d6.loss_cls: 0.1743, decode.d6.loss_mask: 0.4459, decode.d6.loss_dice: 0.6786, decode.d7.loss_cls: 0.1741, decode.d7.loss_mask: 0.4447, decode.d7.loss_dice: 0.6758, decode.d8.loss_cls: 0.1698, decode.d8.loss_mask: 0.4449, decode.d8.loss_dice: 0.6809, loss: 14.3649, grad_norm: 66.9481 2023-11-22 19:17:43,315 - mmseg - INFO - Iter [135400/160000] lr: 1.465e-06, eta: 4:00:13, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1650, decode.loss_mask: 0.4396, decode.loss_dice: 0.6585, decode.d0.loss_cls: 1.2423, decode.d0.loss_mask: 0.4762, decode.d0.loss_dice: 0.7266, decode.d1.loss_cls: 0.2423, decode.d1.loss_mask: 0.4566, decode.d1.loss_dice: 0.6927, decode.d2.loss_cls: 0.1997, decode.d2.loss_mask: 0.4459, decode.d2.loss_dice: 0.6755, decode.d3.loss_cls: 0.1845, decode.d3.loss_mask: 0.4417, decode.d3.loss_dice: 0.6659, decode.d4.loss_cls: 0.1753, decode.d4.loss_mask: 0.4404, decode.d4.loss_dice: 0.6681, decode.d5.loss_cls: 0.1728, decode.d5.loss_mask: 0.4385, decode.d5.loss_dice: 0.6603, decode.d6.loss_cls: 0.1672, decode.d6.loss_mask: 0.4388, decode.d6.loss_dice: 0.6615, decode.d7.loss_cls: 0.1674, decode.d7.loss_mask: 0.4383, decode.d7.loss_dice: 0.6591, decode.d8.loss_cls: 0.1631, decode.d8.loss_mask: 0.4387, decode.d8.loss_dice: 0.6619, loss: 14.0646, grad_norm: 63.4540 2023-11-22 19:18:11,452 - mmseg - INFO - Iter [135450/160000] lr: 1.462e-06, eta: 3:59:44, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1627, decode.loss_mask: 0.4326, decode.loss_dice: 0.6503, decode.d0.loss_cls: 1.2767, decode.d0.loss_mask: 0.4635, decode.d0.loss_dice: 0.7221, decode.d1.loss_cls: 0.2493, decode.d1.loss_mask: 0.4509, decode.d1.loss_dice: 0.6814, decode.d2.loss_cls: 0.2020, decode.d2.loss_mask: 0.4419, decode.d2.loss_dice: 0.6679, decode.d3.loss_cls: 0.1847, decode.d3.loss_mask: 0.4361, decode.d3.loss_dice: 0.6536, decode.d4.loss_cls: 0.1828, decode.d4.loss_mask: 0.4341, decode.d4.loss_dice: 0.6537, decode.d5.loss_cls: 0.1746, decode.d5.loss_mask: 0.4340, decode.d5.loss_dice: 0.6541, decode.d6.loss_cls: 0.1711, decode.d6.loss_mask: 0.4328, decode.d6.loss_dice: 0.6519, decode.d7.loss_cls: 0.1667, decode.d7.loss_mask: 0.4326, decode.d7.loss_dice: 0.6523, decode.d8.loss_cls: 0.1651, decode.d8.loss_mask: 0.4318, decode.d8.loss_dice: 0.6510, loss: 13.9648, grad_norm: 65.6474 2023-11-22 19:18:39,786 - mmseg - INFO - Iter [135500/160000] lr: 1.459e-06, eta: 3:59:14, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1719, decode.loss_mask: 0.4368, decode.loss_dice: 0.6458, decode.d0.loss_cls: 1.2309, decode.d0.loss_mask: 0.4735, decode.d0.loss_dice: 0.7190, decode.d1.loss_cls: 0.2415, decode.d1.loss_mask: 0.4567, decode.d1.loss_dice: 0.6829, decode.d2.loss_cls: 0.1999, decode.d2.loss_mask: 0.4467, decode.d2.loss_dice: 0.6649, decode.d3.loss_cls: 0.1854, decode.d3.loss_mask: 0.4420, decode.d3.loss_dice: 0.6544, decode.d4.loss_cls: 0.1830, decode.d4.loss_mask: 0.4396, decode.d4.loss_dice: 0.6556, decode.d5.loss_cls: 0.1803, decode.d5.loss_mask: 0.4413, decode.d5.loss_dice: 0.6533, decode.d6.loss_cls: 0.1763, decode.d6.loss_mask: 0.4401, decode.d6.loss_dice: 0.6493, decode.d7.loss_cls: 0.1735, decode.d7.loss_mask: 0.4388, decode.d7.loss_dice: 0.6494, decode.d8.loss_cls: 0.1757, decode.d8.loss_mask: 0.4375, decode.d8.loss_dice: 0.6497, loss: 13.9958, grad_norm: 63.9249 2023-11-22 19:19:08,138 - mmseg - INFO - Iter [135550/160000] lr: 1.456e-06, eta: 3:58:45, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1704, decode.loss_mask: 0.4410, decode.loss_dice: 0.6679, decode.d0.loss_cls: 1.2570, decode.d0.loss_mask: 0.4729, decode.d0.loss_dice: 0.7351, decode.d1.loss_cls: 0.2476, decode.d1.loss_mask: 0.4544, decode.d1.loss_dice: 0.7018, decode.d2.loss_cls: 0.2048, decode.d2.loss_mask: 0.4444, decode.d2.loss_dice: 0.6856, decode.d3.loss_cls: 0.1887, decode.d3.loss_mask: 0.4428, decode.d3.loss_dice: 0.6762, decode.d4.loss_cls: 0.1835, decode.d4.loss_mask: 0.4416, decode.d4.loss_dice: 0.6763, decode.d5.loss_cls: 0.1776, decode.d5.loss_mask: 0.4418, decode.d5.loss_dice: 0.6747, decode.d6.loss_cls: 0.1741, decode.d6.loss_mask: 0.4413, decode.d6.loss_dice: 0.6719, decode.d7.loss_cls: 0.1706, decode.d7.loss_mask: 0.4413, decode.d7.loss_dice: 0.6696, decode.d8.loss_cls: 0.1708, decode.d8.loss_mask: 0.4412, decode.d8.loss_dice: 0.6683, loss: 14.2351, grad_norm: 65.5075 2023-11-22 19:19:36,603 - mmseg - INFO - Iter [135600/160000] lr: 1.453e-06, eta: 3:58:16, time: 0.569, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1627, decode.loss_mask: 0.4524, decode.loss_dice: 0.6688, decode.d0.loss_cls: 1.2296, decode.d0.loss_mask: 0.4866, decode.d0.loss_dice: 0.7341, decode.d1.loss_cls: 0.2420, decode.d1.loss_mask: 0.4652, decode.d1.loss_dice: 0.6981, decode.d2.loss_cls: 0.2018, decode.d2.loss_mask: 0.4581, decode.d2.loss_dice: 0.6838, decode.d3.loss_cls: 0.1865, decode.d3.loss_mask: 0.4542, decode.d3.loss_dice: 0.6735, decode.d4.loss_cls: 0.1750, decode.d4.loss_mask: 0.4543, decode.d4.loss_dice: 0.6741, decode.d5.loss_cls: 0.1698, decode.d5.loss_mask: 0.4544, decode.d5.loss_dice: 0.6742, decode.d6.loss_cls: 0.1679, decode.d6.loss_mask: 0.4532, decode.d6.loss_dice: 0.6764, decode.d7.loss_cls: 0.1650, decode.d7.loss_mask: 0.4523, decode.d7.loss_dice: 0.6725, decode.d8.loss_cls: 0.1645, decode.d8.loss_mask: 0.4515, decode.d8.loss_dice: 0.6697, loss: 14.2722, grad_norm: 69.5933 2023-11-22 19:20:05,249 - mmseg - INFO - Iter [135650/160000] lr: 1.450e-06, eta: 3:57:46, time: 0.573, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1701, decode.loss_mask: 0.4300, decode.loss_dice: 0.6507, decode.d0.loss_cls: 1.2277, decode.d0.loss_mask: 0.4611, decode.d0.loss_dice: 0.7178, decode.d1.loss_cls: 0.2477, decode.d1.loss_mask: 0.4454, decode.d1.loss_dice: 0.6878, decode.d2.loss_cls: 0.1989, decode.d2.loss_mask: 0.4374, decode.d2.loss_dice: 0.6708, decode.d3.loss_cls: 0.1816, decode.d3.loss_mask: 0.4348, decode.d3.loss_dice: 0.6590, decode.d4.loss_cls: 0.1814, decode.d4.loss_mask: 0.4318, decode.d4.loss_dice: 0.6543, decode.d5.loss_cls: 0.1770, decode.d5.loss_mask: 0.4320, decode.d5.loss_dice: 0.6543, decode.d6.loss_cls: 0.1729, decode.d6.loss_mask: 0.4306, decode.d6.loss_dice: 0.6561, decode.d7.loss_cls: 0.1707, decode.d7.loss_mask: 0.4302, decode.d7.loss_dice: 0.6532, decode.d8.loss_cls: 0.1689, decode.d8.loss_mask: 0.4297, decode.d8.loss_dice: 0.6532, loss: 13.9172, grad_norm: 69.7184 2023-11-22 19:20:33,659 - mmseg - INFO - Iter [135700/160000] lr: 1.447e-06, eta: 3:57:17, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1642, decode.loss_mask: 0.4377, decode.loss_dice: 0.6631, decode.d0.loss_cls: 1.2586, decode.d0.loss_mask: 0.4698, decode.d0.loss_dice: 0.7355, decode.d1.loss_cls: 0.2389, decode.d1.loss_mask: 0.4521, decode.d1.loss_dice: 0.7032, decode.d2.loss_cls: 0.1974, decode.d2.loss_mask: 0.4431, decode.d2.loss_dice: 0.6817, decode.d3.loss_cls: 0.1823, decode.d3.loss_mask: 0.4408, decode.d3.loss_dice: 0.6700, decode.d4.loss_cls: 0.1719, decode.d4.loss_mask: 0.4392, decode.d4.loss_dice: 0.6705, decode.d5.loss_cls: 0.1703, decode.d5.loss_mask: 0.4399, decode.d5.loss_dice: 0.6701, decode.d6.loss_cls: 0.1673, decode.d6.loss_mask: 0.4394, decode.d6.loss_dice: 0.6644, decode.d7.loss_cls: 0.1659, decode.d7.loss_mask: 0.4403, decode.d7.loss_dice: 0.6649, decode.d8.loss_cls: 0.1613, decode.d8.loss_mask: 0.4393, decode.d8.loss_dice: 0.6691, loss: 14.1123, grad_norm: 62.8917 2023-11-22 19:21:01,854 - mmseg - INFO - Iter [135750/160000] lr: 1.444e-06, eta: 3:56:47, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1832, decode.loss_mask: 0.4481, decode.loss_dice: 0.6891, decode.d0.loss_cls: 1.2969, decode.d0.loss_mask: 0.4832, decode.d0.loss_dice: 0.7668, decode.d1.loss_cls: 0.2760, decode.d1.loss_mask: 0.4632, decode.d1.loss_dice: 0.7255, decode.d2.loss_cls: 0.2199, decode.d2.loss_mask: 0.4571, decode.d2.loss_dice: 0.7088, decode.d3.loss_cls: 0.2012, decode.d3.loss_mask: 0.4533, decode.d3.loss_dice: 0.6997, decode.d4.loss_cls: 0.1993, decode.d4.loss_mask: 0.4517, decode.d4.loss_dice: 0.6956, decode.d5.loss_cls: 0.1949, decode.d5.loss_mask: 0.4505, decode.d5.loss_dice: 0.6918, decode.d6.loss_cls: 0.1904, decode.d6.loss_mask: 0.4481, decode.d6.loss_dice: 0.6867, decode.d7.loss_cls: 0.1902, decode.d7.loss_mask: 0.4476, decode.d7.loss_dice: 0.6857, decode.d8.loss_cls: 0.1859, decode.d8.loss_mask: 0.4485, decode.d8.loss_dice: 0.6882, loss: 14.7268, grad_norm: 70.8252 2023-11-22 19:21:30,130 - mmseg - INFO - Iter [135800/160000] lr: 1.441e-06, eta: 3:56:18, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1561, decode.loss_mask: 0.4342, decode.loss_dice: 0.6660, decode.d0.loss_cls: 1.2334, decode.d0.loss_mask: 0.4622, decode.d0.loss_dice: 0.7286, decode.d1.loss_cls: 0.2376, decode.d1.loss_mask: 0.4515, decode.d1.loss_dice: 0.6946, decode.d2.loss_cls: 0.1902, decode.d2.loss_mask: 0.4415, decode.d2.loss_dice: 0.6781, decode.d3.loss_cls: 0.1758, decode.d3.loss_mask: 0.4374, decode.d3.loss_dice: 0.6710, decode.d4.loss_cls: 0.1698, decode.d4.loss_mask: 0.4359, decode.d4.loss_dice: 0.6689, decode.d5.loss_cls: 0.1660, decode.d5.loss_mask: 0.4334, decode.d5.loss_dice: 0.6685, decode.d6.loss_cls: 0.1601, decode.d6.loss_mask: 0.4344, decode.d6.loss_dice: 0.6661, decode.d7.loss_cls: 0.1554, decode.d7.loss_mask: 0.4337, decode.d7.loss_dice: 0.6662, decode.d8.loss_cls: 0.1561, decode.d8.loss_mask: 0.4342, decode.d8.loss_dice: 0.6656, loss: 13.9724, grad_norm: 63.8319 2023-11-22 19:21:58,321 - mmseg - INFO - Iter [135850/160000] lr: 1.438e-06, eta: 3:55:48, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1621, decode.loss_mask: 0.4347, decode.loss_dice: 0.6613, decode.d0.loss_cls: 1.2737, decode.d0.loss_mask: 0.4699, decode.d0.loss_dice: 0.7358, decode.d1.loss_cls: 0.2410, decode.d1.loss_mask: 0.4470, decode.d1.loss_dice: 0.6953, decode.d2.loss_cls: 0.1925, decode.d2.loss_mask: 0.4405, decode.d2.loss_dice: 0.6773, decode.d3.loss_cls: 0.1790, decode.d3.loss_mask: 0.4376, decode.d3.loss_dice: 0.6668, decode.d4.loss_cls: 0.1736, decode.d4.loss_mask: 0.4380, decode.d4.loss_dice: 0.6650, decode.d5.loss_cls: 0.1727, decode.d5.loss_mask: 0.4358, decode.d5.loss_dice: 0.6614, decode.d6.loss_cls: 0.1697, decode.d6.loss_mask: 0.4352, decode.d6.loss_dice: 0.6619, decode.d7.loss_cls: 0.1632, decode.d7.loss_mask: 0.4356, decode.d7.loss_dice: 0.6625, decode.d8.loss_cls: 0.1665, decode.d8.loss_mask: 0.4346, decode.d8.loss_dice: 0.6634, loss: 14.0536, grad_norm: 62.7470 2023-11-22 19:22:26,561 - mmseg - INFO - Iter [135900/160000] lr: 1.435e-06, eta: 3:55:19, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1794, decode.loss_mask: 0.4484, decode.loss_dice: 0.6812, decode.d0.loss_cls: 1.2894, decode.d0.loss_mask: 0.4794, decode.d0.loss_dice: 0.7621, decode.d1.loss_cls: 0.2666, decode.d1.loss_mask: 0.4639, decode.d1.loss_dice: 0.7193, decode.d2.loss_cls: 0.2222, decode.d2.loss_mask: 0.4542, decode.d2.loss_dice: 0.7006, decode.d3.loss_cls: 0.2082, decode.d3.loss_mask: 0.4526, decode.d3.loss_dice: 0.6854, decode.d4.loss_cls: 0.1980, decode.d4.loss_mask: 0.4507, decode.d4.loss_dice: 0.6863, decode.d5.loss_cls: 0.1929, decode.d5.loss_mask: 0.4498, decode.d5.loss_dice: 0.6883, decode.d6.loss_cls: 0.1890, decode.d6.loss_mask: 0.4502, decode.d6.loss_dice: 0.6852, decode.d7.loss_cls: 0.1813, decode.d7.loss_mask: 0.4511, decode.d7.loss_dice: 0.6823, decode.d8.loss_cls: 0.1789, decode.d8.loss_mask: 0.4493, decode.d8.loss_dice: 0.6844, loss: 14.6308, grad_norm: 74.1310 2023-11-22 19:22:55,119 - mmseg - INFO - Iter [135950/160000] lr: 1.432e-06, eta: 3:54:49, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1689, decode.loss_mask: 0.4322, decode.loss_dice: 0.6472, decode.d0.loss_cls: 1.2279, decode.d0.loss_mask: 0.4680, decode.d0.loss_dice: 0.7214, decode.d1.loss_cls: 0.2499, decode.d1.loss_mask: 0.4492, decode.d1.loss_dice: 0.6771, decode.d2.loss_cls: 0.2048, decode.d2.loss_mask: 0.4387, decode.d2.loss_dice: 0.6674, decode.d3.loss_cls: 0.1861, decode.d3.loss_mask: 0.4340, decode.d3.loss_dice: 0.6538, decode.d4.loss_cls: 0.1786, decode.d4.loss_mask: 0.4352, decode.d4.loss_dice: 0.6530, decode.d5.loss_cls: 0.1722, decode.d5.loss_mask: 0.4327, decode.d5.loss_dice: 0.6548, decode.d6.loss_cls: 0.1721, decode.d6.loss_mask: 0.4329, decode.d6.loss_dice: 0.6510, decode.d7.loss_cls: 0.1682, decode.d7.loss_mask: 0.4335, decode.d7.loss_dice: 0.6514, decode.d8.loss_cls: 0.1669, decode.d8.loss_mask: 0.4329, decode.d8.loss_dice: 0.6534, loss: 13.9150, grad_norm: 67.8416 2023-11-22 19:23:23,299 - mmseg - INFO - Saving checkpoint at 136000 iterations 2023-11-22 19:23:31,299 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 19:23:31,300 - mmseg - INFO - Iter [136000/160000] lr: 1.429e-06, eta: 3:54:21, time: 0.724, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1738, decode.loss_mask: 0.4464, decode.loss_dice: 0.6582, decode.d0.loss_cls: 1.2536, decode.d0.loss_mask: 0.4801, decode.d0.loss_dice: 0.7394, decode.d1.loss_cls: 0.2552, decode.d1.loss_mask: 0.4623, decode.d1.loss_dice: 0.6900, decode.d2.loss_cls: 0.2017, decode.d2.loss_mask: 0.4544, decode.d2.loss_dice: 0.6753, decode.d3.loss_cls: 0.1867, decode.d3.loss_mask: 0.4503, decode.d3.loss_dice: 0.6632, decode.d4.loss_cls: 0.1818, decode.d4.loss_mask: 0.4475, decode.d4.loss_dice: 0.6611, decode.d5.loss_cls: 0.1823, decode.d5.loss_mask: 0.4474, decode.d5.loss_dice: 0.6609, decode.d6.loss_cls: 0.1764, decode.d6.loss_mask: 0.4477, decode.d6.loss_dice: 0.6602, decode.d7.loss_cls: 0.1709, decode.d7.loss_mask: 0.4470, decode.d7.loss_dice: 0.6609, decode.d8.loss_cls: 0.1787, decode.d8.loss_mask: 0.4484, decode.d8.loss_dice: 0.6594, loss: 14.2210, grad_norm: 69.3611 2023-11-22 19:23:50,747 - mmseg - INFO - per class results: 2023-11-22 19:23:50,752 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.98 | 88.03 | | building | 84.08 | 91.58 | | sky | 95.07 | 97.63 | | floor | 83.94 | 90.62 | | tree | 76.13 | 88.05 | | ceiling | 85.94 | 92.67 | | road | 86.13 | 90.53 | | bed | 91.9 | 95.88 | | windowpane | 65.36 | 81.52 | | grass | 69.25 | 82.64 | | cabinet | 63.05 | 74.81 | | sidewalk | 69.08 | 82.72 | | person | 86.19 | 93.98 | | earth | 39.75 | 56.66 | | door | 54.0 | 71.82 | | table | 70.17 | 83.42 | | mountain | 57.99 | 73.65 | | plant | 55.38 | 65.81 | | curtain | 74.65 | 88.56 | | chair | 65.48 | 76.48 | | car | 88.18 | 94.09 | | water | 50.38 | 61.59 | | painting | 77.27 | 90.75 | | sofa | 75.65 | 89.19 | | shelf | 45.86 | 60.16 | | house | 45.2 | 73.8 | | sea | 56.78 | 84.34 | | mirror | 75.2 | 83.96 | | rug | 67.06 | 81.42 | | field | 36.62 | 58.39 | | armchair | 53.21 | 72.67 | | seat | 66.51 | 86.69 | | fence | 55.03 | 69.23 | | desk | 53.96 | 77.74 | | rock | 48.2 | 65.21 | | wardrobe | 48.24 | 72.52 | | lamp | 73.15 | 82.2 | | bathtub | 80.09 | 86.31 | | railing | 37.88 | 53.87 | | cushion | 63.88 | 73.44 | | base | 44.21 | 66.24 | | box | 33.59 | 46.31 | | column | 51.43 | 70.81 | | signboard | 41.79 | 58.05 | | chest of drawers | 35.42 | 57.59 | | counter | 43.15 | 52.01 | | sand | 37.54 | 52.78 | | sink | 80.19 | 85.64 | | skyscraper | 66.21 | 82.89 | | fireplace | 77.69 | 90.02 | | refrigerator | 77.39 | 83.98 | | grandstand | 48.79 | 81.67 | | path | 21.07 | 33.77 | | stairs | 36.67 | 42.6 | | runway | 72.25 | 93.31 | | case | 60.72 | 86.08 | | pool table | 94.41 | 97.85 | | pillow | 62.96 | 77.89 | | screen door | 63.29 | 68.08 | | stairway | 38.43 | 52.53 | | river | 7.95 | 20.66 | | bridge | 78.27 | 90.51 | | bookcase | 32.34 | 57.84 | | blind | 43.43 | 50.31 | | coffee table | 71.86 | 86.26 | | toilet | 91.34 | 93.7 | | flower | 45.43 | 68.99 | | book | 51.97 | 77.09 | | hill | 8.89 | 16.4 | | bench | 64.05 | 74.26 | | countertop | 59.08 | 80.34 | | stove | 88.86 | 92.98 | | palm | 54.72 | 80.87 | | kitchen island | 49.66 | 80.57 | | computer | 75.1 | 84.32 | | swivel chair | 47.13 | 75.99 | | boat | 38.62 | 56.46 | | bar | 71.65 | 78.86 | | arcade machine | 86.66 | 92.43 | | hovel | 46.05 | 49.39 | | bus | 94.23 | 97.2 | | towel | 77.41 | 88.42 | | light | 65.04 | 79.17 | | truck | 54.91 | 66.28 | | tower | 31.05 | 51.61 | | chandelier | 71.22 | 88.53 | | awning | 40.59 | 53.25 | | streetlight | 47.65 | 64.23 | | booth | 53.19 | 69.1 | | television receiver | 80.07 | 88.46 | | airplane | 40.39 | 85.17 | | dirt track | 10.67 | 33.29 | | apparel | 44.93 | 67.86 | | pole | 38.75 | 63.64 | | land | 3.1 | 6.9 | | bannister | 20.47 | 33.36 | | escalator | 28.38 | 33.25 | | ottoman | 56.75 | 77.29 | | bottle | 38.22 | 69.0 | | buffet | 43.1 | 54.95 | | poster | 29.26 | 44.47 | | stage | 28.24 | 47.66 | | van | 44.77 | 67.11 | | ship | 9.26 | 15.43 | | fountain | 21.57 | 21.9 | | conveyer belt | 78.31 | 95.65 | | canopy | 26.22 | 52.16 | | washer | 70.31 | 73.92 | | plaything | 42.6 | 57.97 | | swimming pool | 62.07 | 62.71 | | stool | 61.84 | 77.76 | | barrel | 57.03 | 97.99 | | basket | 45.18 | 57.16 | | waterfall | 78.95 | 91.39 | | tent | 90.13 | 98.3 | | bag | 29.82 | 41.9 | | minibike | 71.47 | 90.66 | | cradle | 90.86 | 97.64 | | oven | 24.35 | 65.75 | | ball | 43.92 | 48.39 | | food | 62.43 | 68.9 | | step | 30.76 | 43.13 | | tank | 61.12 | 66.28 | | trade name | 31.4 | 38.66 | | microwave | 42.67 | 46.49 | | pot | 54.97 | 68.72 | | animal | 60.15 | 61.58 | | bicycle | 59.9 | 78.08 | | lake | 56.2 | 63.66 | | dishwasher | 74.67 | 80.57 | | screen | 57.85 | 94.26 | | blanket | 41.18 | 52.64 | | sculpture | 67.48 | 89.25 | | hood | 74.17 | 78.65 | | sconce | 61.24 | 76.66 | | vase | 53.58 | 74.2 | | traffic light | 47.98 | 72.97 | | tray | 20.75 | 30.18 | | ashcan | 50.63 | 73.85 | | fan | 69.86 | 85.32 | | pier | 71.2 | 80.94 | | crt screen | 3.31 | 9.86 | | plate | 66.11 | 82.61 | | monitor | 9.35 | 11.98 | | bulletin board | 49.12 | 80.99 | | shower | 3.35 | 23.18 | | radiator | 70.9 | 87.22 | | glass | 24.08 | 26.5 | | clock | 56.47 | 69.33 | | flag | 71.85 | 83.1 | +---------------------+-------+-------+ 2023-11-22 19:23:50,752 - mmseg - INFO - Summary: 2023-11-22 19:23:50,752 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.91 | 55.36 | 69.66 | +-------+-------+-------+ 2023-11-22 19:23:50,753 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 19:23:50,753 - mmseg - INFO - Iter(val) [250] aAcc: 0.8491, mIoU: 0.5536, mAcc: 0.6966, IoU.wall: 0.8098, IoU.building: 0.8408, IoU.sky: 0.9507, IoU.floor: 0.8394, IoU.tree: 0.7613, IoU.ceiling: 0.8594, IoU.road: 0.8613, IoU.bed : 0.9190, IoU.windowpane: 0.6536, IoU.grass: 0.6925, IoU.cabinet: 0.6305, IoU.sidewalk: 0.6908, IoU.person: 0.8619, IoU.earth: 0.3975, IoU.door: 0.5400, IoU.table: 0.7017, IoU.mountain: 0.5799, IoU.plant: 0.5538, IoU.curtain: 0.7465, IoU.chair: 0.6548, IoU.car: 0.8818, IoU.water: 0.5038, IoU.painting: 0.7727, IoU.sofa: 0.7565, IoU.shelf: 0.4586, IoU.house: 0.4520, IoU.sea: 0.5678, IoU.mirror: 0.7520, IoU.rug: 0.6706, IoU.field: 0.3662, IoU.armchair: 0.5321, IoU.seat: 0.6651, IoU.fence: 0.5503, IoU.desk: 0.5396, IoU.rock: 0.4820, IoU.wardrobe: 0.4824, IoU.lamp: 0.7315, IoU.bathtub: 0.8009, IoU.railing: 0.3788, IoU.cushion: 0.6388, IoU.base: 0.4421, IoU.box: 0.3359, IoU.column: 0.5143, IoU.signboard: 0.4179, IoU.chest of drawers: 0.3542, IoU.counter: 0.4315, IoU.sand: 0.3754, IoU.sink: 0.8019, IoU.skyscraper: 0.6621, IoU.fireplace: 0.7769, IoU.refrigerator: 0.7739, IoU.grandstand: 0.4879, IoU.path: 0.2107, IoU.stairs: 0.3667, IoU.runway: 0.7225, IoU.case: 0.6072, IoU.pool table: 0.9441, IoU.pillow: 0.6296, IoU.screen door: 0.6329, IoU.stairway: 0.3843, IoU.river: 0.0795, IoU.bridge: 0.7827, IoU.bookcase: 0.3234, IoU.blind: 0.4343, IoU.coffee table: 0.7186, IoU.toilet: 0.9134, IoU.flower: 0.4543, IoU.book: 0.5197, IoU.hill: 0.0889, IoU.bench: 0.6405, IoU.countertop: 0.5908, IoU.stove: 0.8886, IoU.palm: 0.5472, IoU.kitchen island: 0.4966, IoU.computer: 0.7510, IoU.swivel chair: 0.4713, IoU.boat: 0.3862, IoU.bar: 0.7165, IoU.arcade machine: 0.8666, IoU.hovel: 0.4605, IoU.bus: 0.9423, IoU.towel: 0.7741, IoU.light: 0.6504, IoU.truck: 0.5491, IoU.tower: 0.3105, IoU.chandelier: 0.7122, IoU.awning: 0.4059, IoU.streetlight: 0.4765, IoU.booth: 0.5319, IoU.television receiver: 0.8007, IoU.airplane: 0.4039, IoU.dirt track: 0.1067, IoU.apparel: 0.4493, IoU.pole: 0.3875, IoU.land: 0.0310, IoU.bannister: 0.2047, IoU.escalator: 0.2838, IoU.ottoman: 0.5675, IoU.bottle: 0.3822, IoU.buffet: 0.4310, IoU.poster: 0.2926, IoU.stage: 0.2824, IoU.van: 0.4477, IoU.ship: 0.0926, IoU.fountain: 0.2157, IoU.conveyer belt: 0.7831, IoU.canopy: 0.2622, IoU.washer: 0.7031, IoU.plaything: 0.4260, IoU.swimming pool: 0.6207, IoU.stool: 0.6184, IoU.barrel: 0.5703, IoU.basket: 0.4518, IoU.waterfall: 0.7895, IoU.tent: 0.9013, IoU.bag: 0.2982, IoU.minibike: 0.7147, IoU.cradle: 0.9086, IoU.oven: 0.2435, IoU.ball: 0.4392, IoU.food: 0.6243, IoU.step: 0.3076, IoU.tank: 0.6112, IoU.trade name: 0.3140, IoU.microwave: 0.4267, IoU.pot: 0.5497, IoU.animal: 0.6015, IoU.bicycle: 0.5990, IoU.lake: 0.5620, IoU.dishwasher: 0.7467, IoU.screen: 0.5785, IoU.blanket: 0.4118, IoU.sculpture: 0.6748, IoU.hood: 0.7417, IoU.sconce: 0.6124, IoU.vase: 0.5358, IoU.traffic light: 0.4798, IoU.tray: 0.2075, IoU.ashcan: 0.5063, IoU.fan: 0.6986, IoU.pier: 0.7120, IoU.crt screen: 0.0331, IoU.plate: 0.6611, IoU.monitor: 0.0935, IoU.bulletin board: 0.4912, IoU.shower: 0.0335, IoU.radiator: 0.7090, IoU.glass: 0.2408, IoU.clock: 0.5647, IoU.flag: 0.7185, Acc.wall: 0.8803, Acc.building: 0.9158, Acc.sky: 0.9763, Acc.floor: 0.9062, Acc.tree: 0.8805, Acc.ceiling: 0.9267, Acc.road: 0.9053, Acc.bed : 0.9588, Acc.windowpane: 0.8152, Acc.grass: 0.8264, Acc.cabinet: 0.7481, Acc.sidewalk: 0.8272, Acc.person: 0.9398, Acc.earth: 0.5666, Acc.door: 0.7182, Acc.table: 0.8342, Acc.mountain: 0.7365, Acc.plant: 0.6581, Acc.curtain: 0.8856, Acc.chair: 0.7648, Acc.car: 0.9409, Acc.water: 0.6159, Acc.painting: 0.9075, Acc.sofa: 0.8919, Acc.shelf: 0.6016, Acc.house: 0.7380, Acc.sea: 0.8434, Acc.mirror: 0.8396, Acc.rug: 0.8142, Acc.field: 0.5839, Acc.armchair: 0.7267, Acc.seat: 0.8669, Acc.fence: 0.6923, Acc.desk: 0.7774, Acc.rock: 0.6521, Acc.wardrobe: 0.7252, Acc.lamp: 0.8220, Acc.bathtub: 0.8631, Acc.railing: 0.5387, Acc.cushion: 0.7344, Acc.base: 0.6624, Acc.box: 0.4631, Acc.column: 0.7081, Acc.signboard: 0.5805, Acc.chest of drawers: 0.5759, Acc.counter: 0.5201, Acc.sand: 0.5278, Acc.sink: 0.8564, Acc.skyscraper: 0.8289, Acc.fireplace: 0.9002, Acc.refrigerator: 0.8398, Acc.grandstand: 0.8167, Acc.path: 0.3377, Acc.stairs: 0.4260, Acc.runway: 0.9331, Acc.case: 0.8608, Acc.pool table: 0.9785, Acc.pillow: 0.7789, Acc.screen door: 0.6808, Acc.stairway: 0.5253, Acc.river: 0.2066, Acc.bridge: 0.9051, Acc.bookcase: 0.5784, Acc.blind: 0.5031, Acc.coffee table: 0.8626, Acc.toilet: 0.9370, Acc.flower: 0.6899, Acc.book: 0.7709, Acc.hill: 0.1640, Acc.bench: 0.7426, Acc.countertop: 0.8034, Acc.stove: 0.9298, Acc.palm: 0.8087, Acc.kitchen island: 0.8057, Acc.computer: 0.8432, Acc.swivel chair: 0.7599, Acc.boat: 0.5646, Acc.bar: 0.7886, Acc.arcade machine: 0.9243, Acc.hovel: 0.4939, Acc.bus: 0.9720, Acc.towel: 0.8842, Acc.light: 0.7917, Acc.truck: 0.6628, Acc.tower: 0.5161, Acc.chandelier: 0.8853, Acc.awning: 0.5325, Acc.streetlight: 0.6423, Acc.booth: 0.6910, Acc.television receiver: 0.8846, Acc.airplane: 0.8517, Acc.dirt track: 0.3329, Acc.apparel: 0.6786, Acc.pole: 0.6364, Acc.land: 0.0690, Acc.bannister: 0.3336, Acc.escalator: 0.3325, Acc.ottoman: 0.7729, Acc.bottle: 0.6900, Acc.buffet: 0.5495, Acc.poster: 0.4447, Acc.stage: 0.4766, Acc.van: 0.6711, Acc.ship: 0.1543, Acc.fountain: 0.2190, Acc.conveyer belt: 0.9565, Acc.canopy: 0.5216, Acc.washer: 0.7392, Acc.plaything: 0.5797, Acc.swimming pool: 0.6271, Acc.stool: 0.7776, Acc.barrel: 0.9799, Acc.basket: 0.5716, Acc.waterfall: 0.9139, Acc.tent: 0.9830, Acc.bag: 0.4190, Acc.minibike: 0.9066, Acc.cradle: 0.9764, Acc.oven: 0.6575, Acc.ball: 0.4839, Acc.food: 0.6890, Acc.step: 0.4313, Acc.tank: 0.6628, Acc.trade name: 0.3866, Acc.microwave: 0.4649, Acc.pot: 0.6872, Acc.animal: 0.6158, Acc.bicycle: 0.7808, Acc.lake: 0.6366, Acc.dishwasher: 0.8057, Acc.screen: 0.9426, Acc.blanket: 0.5264, Acc.sculpture: 0.8925, Acc.hood: 0.7865, Acc.sconce: 0.7666, Acc.vase: 0.7420, Acc.traffic light: 0.7297, Acc.tray: 0.3018, Acc.ashcan: 0.7385, Acc.fan: 0.8532, Acc.pier: 0.8094, Acc.crt screen: 0.0986, Acc.plate: 0.8261, Acc.monitor: 0.1198, Acc.bulletin board: 0.8099, Acc.shower: 0.2318, Acc.radiator: 0.8722, Acc.glass: 0.2650, Acc.clock: 0.6933, Acc.flag: 0.8310 2023-11-22 19:24:18,940 - mmseg - INFO - Iter [136050/160000] lr: 1.426e-06, eta: 3:53:55, time: 0.953, data_time: 0.401, memory: 38143, decode.loss_cls: 0.1700, decode.loss_mask: 0.4554, decode.loss_dice: 0.6763, decode.d0.loss_cls: 1.2630, decode.d0.loss_mask: 0.4849, decode.d0.loss_dice: 0.7526, decode.d1.loss_cls: 0.2507, decode.d1.loss_mask: 0.4704, decode.d1.loss_dice: 0.7152, decode.d2.loss_cls: 0.2092, decode.d2.loss_mask: 0.4597, decode.d2.loss_dice: 0.6916, decode.d3.loss_cls: 0.1896, decode.d3.loss_mask: 0.4589, decode.d3.loss_dice: 0.6812, decode.d4.loss_cls: 0.1804, decode.d4.loss_mask: 0.4570, decode.d4.loss_dice: 0.6806, decode.d5.loss_cls: 0.1727, decode.d5.loss_mask: 0.4565, decode.d5.loss_dice: 0.6793, decode.d6.loss_cls: 0.1737, decode.d6.loss_mask: 0.4570, decode.d6.loss_dice: 0.6769, decode.d7.loss_cls: 0.1734, decode.d7.loss_mask: 0.4544, decode.d7.loss_dice: 0.6762, decode.d8.loss_cls: 0.1689, decode.d8.loss_mask: 0.4556, decode.d8.loss_dice: 0.6777, loss: 14.4691, grad_norm: 69.5858 2023-11-22 19:24:47,288 - mmseg - INFO - Iter [136100/160000] lr: 1.423e-06, eta: 3:53:26, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1868, decode.loss_mask: 0.4528, decode.loss_dice: 0.6816, decode.d0.loss_cls: 1.2822, decode.d0.loss_mask: 0.4886, decode.d0.loss_dice: 0.7581, decode.d1.loss_cls: 0.2688, decode.d1.loss_mask: 0.4678, decode.d1.loss_dice: 0.7213, decode.d2.loss_cls: 0.2215, decode.d2.loss_mask: 0.4621, decode.d2.loss_dice: 0.6996, decode.d3.loss_cls: 0.2086, decode.d3.loss_mask: 0.4560, decode.d3.loss_dice: 0.6859, decode.d4.loss_cls: 0.2071, decode.d4.loss_mask: 0.4536, decode.d4.loss_dice: 0.6824, decode.d5.loss_cls: 0.2014, decode.d5.loss_mask: 0.4536, decode.d5.loss_dice: 0.6825, decode.d6.loss_cls: 0.1953, decode.d6.loss_mask: 0.4528, decode.d6.loss_dice: 0.6754, decode.d7.loss_cls: 0.1963, decode.d7.loss_mask: 0.4548, decode.d7.loss_dice: 0.6813, decode.d8.loss_cls: 0.1930, decode.d8.loss_mask: 0.4523, decode.d8.loss_dice: 0.6809, loss: 14.7046, grad_norm: 68.8875 2023-11-22 19:25:15,414 - mmseg - INFO - Iter [136150/160000] lr: 1.420e-06, eta: 3:52:56, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1643, decode.loss_mask: 0.4290, decode.loss_dice: 0.6474, decode.d0.loss_cls: 1.2257, decode.d0.loss_mask: 0.4652, decode.d0.loss_dice: 0.7254, decode.d1.loss_cls: 0.2210, decode.d1.loss_mask: 0.4478, decode.d1.loss_dice: 0.6882, decode.d2.loss_cls: 0.1925, decode.d2.loss_mask: 0.4399, decode.d2.loss_dice: 0.6677, decode.d3.loss_cls: 0.1731, decode.d3.loss_mask: 0.4353, decode.d3.loss_dice: 0.6567, decode.d4.loss_cls: 0.1723, decode.d4.loss_mask: 0.4339, decode.d4.loss_dice: 0.6545, decode.d5.loss_cls: 0.1665, decode.d5.loss_mask: 0.4343, decode.d5.loss_dice: 0.6517, decode.d6.loss_cls: 0.1644, decode.d6.loss_mask: 0.4340, decode.d6.loss_dice: 0.6524, decode.d7.loss_cls: 0.1638, decode.d7.loss_mask: 0.4324, decode.d7.loss_dice: 0.6486, decode.d8.loss_cls: 0.1663, decode.d8.loss_mask: 0.4301, decode.d8.loss_dice: 0.6496, loss: 13.8339, grad_norm: 66.4397 2023-11-22 19:25:43,790 - mmseg - INFO - Iter [136200/160000] lr: 1.417e-06, eta: 3:52:27, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1522, decode.loss_mask: 0.4245, decode.loss_dice: 0.6376, decode.d0.loss_cls: 1.2214, decode.d0.loss_mask: 0.4588, decode.d0.loss_dice: 0.7070, decode.d1.loss_cls: 0.2177, decode.d1.loss_mask: 0.4399, decode.d1.loss_dice: 0.6761, decode.d2.loss_cls: 0.1897, decode.d2.loss_mask: 0.4314, decode.d2.loss_dice: 0.6543, decode.d3.loss_cls: 0.1717, decode.d3.loss_mask: 0.4275, decode.d3.loss_dice: 0.6439, decode.d4.loss_cls: 0.1636, decode.d4.loss_mask: 0.4285, decode.d4.loss_dice: 0.6452, decode.d5.loss_cls: 0.1630, decode.d5.loss_mask: 0.4263, decode.d5.loss_dice: 0.6430, decode.d6.loss_cls: 0.1571, decode.d6.loss_mask: 0.4264, decode.d6.loss_dice: 0.6378, decode.d7.loss_cls: 0.1549, decode.d7.loss_mask: 0.4254, decode.d7.loss_dice: 0.6394, decode.d8.loss_cls: 0.1514, decode.d8.loss_mask: 0.4243, decode.d8.loss_dice: 0.6430, loss: 13.5830, grad_norm: 62.2104 2023-11-22 19:26:12,235 - mmseg - INFO - Iter [136250/160000] lr: 1.414e-06, eta: 3:51:57, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1599, decode.loss_mask: 0.4273, decode.loss_dice: 0.6674, decode.d0.loss_cls: 1.2527, decode.d0.loss_mask: 0.4624, decode.d0.loss_dice: 0.7356, decode.d1.loss_cls: 0.2409, decode.d1.loss_mask: 0.4426, decode.d1.loss_dice: 0.7007, decode.d2.loss_cls: 0.1954, decode.d2.loss_mask: 0.4348, decode.d2.loss_dice: 0.6833, decode.d3.loss_cls: 0.1770, decode.d3.loss_mask: 0.4320, decode.d3.loss_dice: 0.6714, decode.d4.loss_cls: 0.1737, decode.d4.loss_mask: 0.4287, decode.d4.loss_dice: 0.6701, decode.d5.loss_cls: 0.1695, decode.d5.loss_mask: 0.4297, decode.d5.loss_dice: 0.6706, decode.d6.loss_cls: 0.1673, decode.d6.loss_mask: 0.4280, decode.d6.loss_dice: 0.6673, decode.d7.loss_cls: 0.1648, decode.d7.loss_mask: 0.4271, decode.d7.loss_dice: 0.6660, decode.d8.loss_cls: 0.1595, decode.d8.loss_mask: 0.4280, decode.d8.loss_dice: 0.6688, loss: 14.0025, grad_norm: 70.8315 2023-11-22 19:26:40,594 - mmseg - INFO - Iter [136300/160000] lr: 1.411e-06, eta: 3:51:28, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1658, decode.loss_mask: 0.4263, decode.loss_dice: 0.6669, decode.d0.loss_cls: 1.2720, decode.d0.loss_mask: 0.4578, decode.d0.loss_dice: 0.7486, decode.d1.loss_cls: 0.2481, decode.d1.loss_mask: 0.4417, decode.d1.loss_dice: 0.7082, decode.d2.loss_cls: 0.2051, decode.d2.loss_mask: 0.4320, decode.d2.loss_dice: 0.6887, decode.d3.loss_cls: 0.1834, decode.d3.loss_mask: 0.4273, decode.d3.loss_dice: 0.6738, decode.d4.loss_cls: 0.1783, decode.d4.loss_mask: 0.4268, decode.d4.loss_dice: 0.6690, decode.d5.loss_cls: 0.1756, decode.d5.loss_mask: 0.4274, decode.d5.loss_dice: 0.6710, decode.d6.loss_cls: 0.1713, decode.d6.loss_mask: 0.4267, decode.d6.loss_dice: 0.6673, decode.d7.loss_cls: 0.1672, decode.d7.loss_mask: 0.4279, decode.d7.loss_dice: 0.6714, decode.d8.loss_cls: 0.1702, decode.d8.loss_mask: 0.4269, decode.d8.loss_dice: 0.6669, loss: 14.0896, grad_norm: 63.1820 2023-11-22 19:27:08,738 - mmseg - INFO - Iter [136350/160000] lr: 1.408e-06, eta: 3:50:58, time: 0.563, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1559, decode.loss_mask: 0.4504, decode.loss_dice: 0.6596, decode.d0.loss_cls: 1.2010, decode.d0.loss_mask: 0.4840, decode.d0.loss_dice: 0.7188, decode.d1.loss_cls: 0.2333, decode.d1.loss_mask: 0.4677, decode.d1.loss_dice: 0.6847, decode.d2.loss_cls: 0.1840, decode.d2.loss_mask: 0.4585, decode.d2.loss_dice: 0.6717, decode.d3.loss_cls: 0.1737, decode.d3.loss_mask: 0.4539, decode.d3.loss_dice: 0.6595, decode.d4.loss_cls: 0.1680, decode.d4.loss_mask: 0.4541, decode.d4.loss_dice: 0.6605, decode.d5.loss_cls: 0.1619, decode.d5.loss_mask: 0.4522, decode.d5.loss_dice: 0.6594, decode.d6.loss_cls: 0.1610, decode.d6.loss_mask: 0.4506, decode.d6.loss_dice: 0.6579, decode.d7.loss_cls: 0.1617, decode.d7.loss_mask: 0.4502, decode.d7.loss_dice: 0.6559, decode.d8.loss_cls: 0.1592, decode.d8.loss_mask: 0.4508, decode.d8.loss_dice: 0.6580, loss: 14.0180, grad_norm: 66.0175 2023-11-22 19:27:37,049 - mmseg - INFO - Iter [136400/160000] lr: 1.405e-06, eta: 3:50:29, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1603, decode.loss_mask: 0.4302, decode.loss_dice: 0.6521, decode.d0.loss_cls: 1.2341, decode.d0.loss_mask: 0.4665, decode.d0.loss_dice: 0.7191, decode.d1.loss_cls: 0.2302, decode.d1.loss_mask: 0.4461, decode.d1.loss_dice: 0.6844, decode.d2.loss_cls: 0.1941, decode.d2.loss_mask: 0.4367, decode.d2.loss_dice: 0.6666, decode.d3.loss_cls: 0.1785, decode.d3.loss_mask: 0.4325, decode.d3.loss_dice: 0.6569, decode.d4.loss_cls: 0.1742, decode.d4.loss_mask: 0.4325, decode.d4.loss_dice: 0.6563, decode.d5.loss_cls: 0.1677, decode.d5.loss_mask: 0.4324, decode.d5.loss_dice: 0.6590, decode.d6.loss_cls: 0.1670, decode.d6.loss_mask: 0.4303, decode.d6.loss_dice: 0.6533, decode.d7.loss_cls: 0.1590, decode.d7.loss_mask: 0.4317, decode.d7.loss_dice: 0.6545, decode.d8.loss_cls: 0.1587, decode.d8.loss_mask: 0.4304, decode.d8.loss_dice: 0.6516, loss: 13.8470, grad_norm: 67.8017 2023-11-22 19:28:07,636 - mmseg - INFO - Iter [136450/160000] lr: 1.402e-06, eta: 3:50:00, time: 0.612, data_time: 0.058, memory: 38143, decode.loss_cls: 0.1559, decode.loss_mask: 0.4214, decode.loss_dice: 0.6405, decode.d0.loss_cls: 1.2386, decode.d0.loss_mask: 0.4502, decode.d0.loss_dice: 0.7156, decode.d1.loss_cls: 0.2315, decode.d1.loss_mask: 0.4344, decode.d1.loss_dice: 0.6688, decode.d2.loss_cls: 0.1784, decode.d2.loss_mask: 0.4284, decode.d2.loss_dice: 0.6598, decode.d3.loss_cls: 0.1656, decode.d3.loss_mask: 0.4255, decode.d3.loss_dice: 0.6495, decode.d4.loss_cls: 0.1642, decode.d4.loss_mask: 0.4247, decode.d4.loss_dice: 0.6482, decode.d5.loss_cls: 0.1613, decode.d5.loss_mask: 0.4232, decode.d5.loss_dice: 0.6475, decode.d6.loss_cls: 0.1589, decode.d6.loss_mask: 0.4225, decode.d6.loss_dice: 0.6447, decode.d7.loss_cls: 0.1524, decode.d7.loss_mask: 0.4225, decode.d7.loss_dice: 0.6450, decode.d8.loss_cls: 0.1519, decode.d8.loss_mask: 0.4223, decode.d8.loss_dice: 0.6446, loss: 13.5980, grad_norm: 66.2431 2023-11-22 19:28:36,219 - mmseg - INFO - Iter [136500/160000] lr: 1.399e-06, eta: 3:49:30, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1531, decode.loss_mask: 0.4367, decode.loss_dice: 0.6615, decode.d0.loss_cls: 1.2936, decode.d0.loss_mask: 0.4717, decode.d0.loss_dice: 0.7330, decode.d1.loss_cls: 0.2319, decode.d1.loss_mask: 0.4554, decode.d1.loss_dice: 0.6966, decode.d2.loss_cls: 0.1893, decode.d2.loss_mask: 0.4455, decode.d2.loss_dice: 0.6800, decode.d3.loss_cls: 0.1751, decode.d3.loss_mask: 0.4386, decode.d3.loss_dice: 0.6632, decode.d4.loss_cls: 0.1684, decode.d4.loss_mask: 0.4390, decode.d4.loss_dice: 0.6634, decode.d5.loss_cls: 0.1695, decode.d5.loss_mask: 0.4371, decode.d5.loss_dice: 0.6619, decode.d6.loss_cls: 0.1664, decode.d6.loss_mask: 0.4361, decode.d6.loss_dice: 0.6577, decode.d7.loss_cls: 0.1622, decode.d7.loss_mask: 0.4357, decode.d7.loss_dice: 0.6571, decode.d8.loss_cls: 0.1620, decode.d8.loss_mask: 0.4357, decode.d8.loss_dice: 0.6572, loss: 14.0347, grad_norm: 68.9806 2023-11-22 19:29:04,814 - mmseg - INFO - Iter [136550/160000] lr: 1.396e-06, eta: 3:49:01, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1667, decode.loss_mask: 0.4358, decode.loss_dice: 0.6572, decode.d0.loss_cls: 1.2314, decode.d0.loss_mask: 0.4684, decode.d0.loss_dice: 0.7324, decode.d1.loss_cls: 0.2525, decode.d1.loss_mask: 0.4490, decode.d1.loss_dice: 0.6866, decode.d2.loss_cls: 0.1992, decode.d2.loss_mask: 0.4418, decode.d2.loss_dice: 0.6753, decode.d3.loss_cls: 0.1874, decode.d3.loss_mask: 0.4379, decode.d3.loss_dice: 0.6586, decode.d4.loss_cls: 0.1828, decode.d4.loss_mask: 0.4359, decode.d4.loss_dice: 0.6584, decode.d5.loss_cls: 0.1785, decode.d5.loss_mask: 0.4377, decode.d5.loss_dice: 0.6585, decode.d6.loss_cls: 0.1765, decode.d6.loss_mask: 0.4363, decode.d6.loss_dice: 0.6541, decode.d7.loss_cls: 0.1722, decode.d7.loss_mask: 0.4363, decode.d7.loss_dice: 0.6522, decode.d8.loss_cls: 0.1681, decode.d8.loss_mask: 0.4360, decode.d8.loss_dice: 0.6565, loss: 14.0203, grad_norm: 66.9123 2023-11-22 19:29:33,328 - mmseg - INFO - Iter [136600/160000] lr: 1.393e-06, eta: 3:48:31, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1540, decode.loss_mask: 0.4437, decode.loss_dice: 0.6456, decode.d0.loss_cls: 1.2174, decode.d0.loss_mask: 0.4830, decode.d0.loss_dice: 0.7119, decode.d1.loss_cls: 0.2245, decode.d1.loss_mask: 0.4639, decode.d1.loss_dice: 0.6757, decode.d2.loss_cls: 0.1844, decode.d2.loss_mask: 0.4529, decode.d2.loss_dice: 0.6605, decode.d3.loss_cls: 0.1697, decode.d3.loss_mask: 0.4490, decode.d3.loss_dice: 0.6511, decode.d4.loss_cls: 0.1682, decode.d4.loss_mask: 0.4477, decode.d4.loss_dice: 0.6497, decode.d5.loss_cls: 0.1634, decode.d5.loss_mask: 0.4464, decode.d5.loss_dice: 0.6483, decode.d6.loss_cls: 0.1567, decode.d6.loss_mask: 0.4448, decode.d6.loss_dice: 0.6455, decode.d7.loss_cls: 0.1567, decode.d7.loss_mask: 0.4442, decode.d7.loss_dice: 0.6479, decode.d8.loss_cls: 0.1510, decode.d8.loss_mask: 0.4441, decode.d8.loss_dice: 0.6460, loss: 13.8481, grad_norm: 69.6948 2023-11-22 19:30:01,607 - mmseg - INFO - Iter [136650/160000] lr: 1.390e-06, eta: 3:48:02, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1589, decode.loss_mask: 0.4386, decode.loss_dice: 0.6684, decode.d0.loss_cls: 1.2423, decode.d0.loss_mask: 0.4723, decode.d0.loss_dice: 0.7384, decode.d1.loss_cls: 0.2358, decode.d1.loss_mask: 0.4542, decode.d1.loss_dice: 0.7038, decode.d2.loss_cls: 0.1908, decode.d2.loss_mask: 0.4487, decode.d2.loss_dice: 0.6944, decode.d3.loss_cls: 0.1777, decode.d3.loss_mask: 0.4429, decode.d3.loss_dice: 0.6744, decode.d4.loss_cls: 0.1741, decode.d4.loss_mask: 0.4402, decode.d4.loss_dice: 0.6736, decode.d5.loss_cls: 0.1686, decode.d5.loss_mask: 0.4388, decode.d5.loss_dice: 0.6687, decode.d6.loss_cls: 0.1658, decode.d6.loss_mask: 0.4398, decode.d6.loss_dice: 0.6663, decode.d7.loss_cls: 0.1591, decode.d7.loss_mask: 0.4392, decode.d7.loss_dice: 0.6701, decode.d8.loss_cls: 0.1611, decode.d8.loss_mask: 0.4375, decode.d8.loss_dice: 0.6678, loss: 14.1125, grad_norm: 69.4294 2023-11-22 19:30:30,028 - mmseg - INFO - Iter [136700/160000] lr: 1.387e-06, eta: 3:47:33, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1627, decode.loss_mask: 0.4396, decode.loss_dice: 0.6370, decode.d0.loss_cls: 1.2474, decode.d0.loss_mask: 0.4696, decode.d0.loss_dice: 0.7049, decode.d1.loss_cls: 0.2384, decode.d1.loss_mask: 0.4529, decode.d1.loss_dice: 0.6690, decode.d2.loss_cls: 0.1941, decode.d2.loss_mask: 0.4448, decode.d2.loss_dice: 0.6573, decode.d3.loss_cls: 0.1791, decode.d3.loss_mask: 0.4433, decode.d3.loss_dice: 0.6404, decode.d4.loss_cls: 0.1742, decode.d4.loss_mask: 0.4403, decode.d4.loss_dice: 0.6393, decode.d5.loss_cls: 0.1657, decode.d5.loss_mask: 0.4422, decode.d5.loss_dice: 0.6408, decode.d6.loss_cls: 0.1633, decode.d6.loss_mask: 0.4399, decode.d6.loss_dice: 0.6380, decode.d7.loss_cls: 0.1644, decode.d7.loss_mask: 0.4393, decode.d7.loss_dice: 0.6353, decode.d8.loss_cls: 0.1609, decode.d8.loss_mask: 0.4388, decode.d8.loss_dice: 0.6363, loss: 13.7991, grad_norm: 69.5271 2023-11-22 19:30:58,249 - mmseg - INFO - Iter [136750/160000] lr: 1.384e-06, eta: 3:47:03, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1887, decode.loss_mask: 0.4326, decode.loss_dice: 0.6960, decode.d0.loss_cls: 1.2802, decode.d0.loss_mask: 0.4649, decode.d0.loss_dice: 0.7656, decode.d1.loss_cls: 0.2715, decode.d1.loss_mask: 0.4471, decode.d1.loss_dice: 0.7338, decode.d2.loss_cls: 0.2262, decode.d2.loss_mask: 0.4405, decode.d2.loss_dice: 0.7140, decode.d3.loss_cls: 0.2155, decode.d3.loss_mask: 0.4366, decode.d3.loss_dice: 0.6959, decode.d4.loss_cls: 0.2041, decode.d4.loss_mask: 0.4359, decode.d4.loss_dice: 0.6984, decode.d5.loss_cls: 0.2028, decode.d5.loss_mask: 0.4350, decode.d5.loss_dice: 0.6974, decode.d6.loss_cls: 0.1921, decode.d6.loss_mask: 0.4343, decode.d6.loss_dice: 0.6963, decode.d7.loss_cls: 0.1903, decode.d7.loss_mask: 0.4334, decode.d7.loss_dice: 0.6943, decode.d8.loss_cls: 0.1871, decode.d8.loss_mask: 0.4338, decode.d8.loss_dice: 0.6963, loss: 14.6411, grad_norm: 62.0704 2023-11-22 19:31:27,011 - mmseg - INFO - Iter [136800/160000] lr: 1.381e-06, eta: 3:46:34, time: 0.575, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1784, decode.loss_mask: 0.4432, decode.loss_dice: 0.6714, decode.d0.loss_cls: 1.2961, decode.d0.loss_mask: 0.4784, decode.d0.loss_dice: 0.7389, decode.d1.loss_cls: 0.2678, decode.d1.loss_mask: 0.4588, decode.d1.loss_dice: 0.7092, decode.d2.loss_cls: 0.2237, decode.d2.loss_mask: 0.4522, decode.d2.loss_dice: 0.6860, decode.d3.loss_cls: 0.1997, decode.d3.loss_mask: 0.4486, decode.d3.loss_dice: 0.6766, decode.d4.loss_cls: 0.1908, decode.d4.loss_mask: 0.4478, decode.d4.loss_dice: 0.6752, decode.d5.loss_cls: 0.1818, decode.d5.loss_mask: 0.4463, decode.d5.loss_dice: 0.6757, decode.d6.loss_cls: 0.1803, decode.d6.loss_mask: 0.4451, decode.d6.loss_dice: 0.6706, decode.d7.loss_cls: 0.1773, decode.d7.loss_mask: 0.4445, decode.d7.loss_dice: 0.6748, decode.d8.loss_cls: 0.1804, decode.d8.loss_mask: 0.4428, decode.d8.loss_dice: 0.6677, loss: 14.4299, grad_norm: 65.9274 2023-11-22 19:31:55,351 - mmseg - INFO - Iter [136850/160000] lr: 1.378e-06, eta: 3:46:04, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1639, decode.loss_mask: 0.4457, decode.loss_dice: 0.6666, decode.d0.loss_cls: 1.2567, decode.d0.loss_mask: 0.4767, decode.d0.loss_dice: 0.7317, decode.d1.loss_cls: 0.2383, decode.d1.loss_mask: 0.4556, decode.d1.loss_dice: 0.6922, decode.d2.loss_cls: 0.1981, decode.d2.loss_mask: 0.4502, decode.d2.loss_dice: 0.6755, decode.d3.loss_cls: 0.1882, decode.d3.loss_mask: 0.4467, decode.d3.loss_dice: 0.6664, decode.d4.loss_cls: 0.1895, decode.d4.loss_mask: 0.4454, decode.d4.loss_dice: 0.6645, decode.d5.loss_cls: 0.1818, decode.d5.loss_mask: 0.4442, decode.d5.loss_dice: 0.6643, decode.d6.loss_cls: 0.1772, decode.d6.loss_mask: 0.4446, decode.d6.loss_dice: 0.6594, decode.d7.loss_cls: 0.1686, decode.d7.loss_mask: 0.4436, decode.d7.loss_dice: 0.6603, decode.d8.loss_cls: 0.1688, decode.d8.loss_mask: 0.4438, decode.d8.loss_dice: 0.6632, loss: 14.1717, grad_norm: 71.2060 2023-11-22 19:32:23,877 - mmseg - INFO - Iter [136900/160000] lr: 1.375e-06, eta: 3:45:35, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1634, decode.loss_mask: 0.4244, decode.loss_dice: 0.6638, decode.d0.loss_cls: 1.2434, decode.d0.loss_mask: 0.4611, decode.d0.loss_dice: 0.7378, decode.d1.loss_cls: 0.2414, decode.d1.loss_mask: 0.4450, decode.d1.loss_dice: 0.7040, decode.d2.loss_cls: 0.2034, decode.d2.loss_mask: 0.4340, decode.d2.loss_dice: 0.6830, decode.d3.loss_cls: 0.1884, decode.d3.loss_mask: 0.4298, decode.d3.loss_dice: 0.6681, decode.d4.loss_cls: 0.1786, decode.d4.loss_mask: 0.4276, decode.d4.loss_dice: 0.6636, decode.d5.loss_cls: 0.1724, decode.d5.loss_mask: 0.4265, decode.d5.loss_dice: 0.6657, decode.d6.loss_cls: 0.1671, decode.d6.loss_mask: 0.4255, decode.d6.loss_dice: 0.6620, decode.d7.loss_cls: 0.1645, decode.d7.loss_mask: 0.4255, decode.d7.loss_dice: 0.6596, decode.d8.loss_cls: 0.1671, decode.d8.loss_mask: 0.4241, decode.d8.loss_dice: 0.6616, loss: 13.9826, grad_norm: 63.1460 2023-11-22 19:32:52,014 - mmseg - INFO - Iter [136950/160000] lr: 1.372e-06, eta: 3:45:05, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1749, decode.loss_mask: 0.4370, decode.loss_dice: 0.6554, decode.d0.loss_cls: 1.2651, decode.d0.loss_mask: 0.4732, decode.d0.loss_dice: 0.7292, decode.d1.loss_cls: 0.2463, decode.d1.loss_mask: 0.4509, decode.d1.loss_dice: 0.6996, decode.d2.loss_cls: 0.2047, decode.d2.loss_mask: 0.4443, decode.d2.loss_dice: 0.6796, decode.d3.loss_cls: 0.1958, decode.d3.loss_mask: 0.4381, decode.d3.loss_dice: 0.6649, decode.d4.loss_cls: 0.1904, decode.d4.loss_mask: 0.4374, decode.d4.loss_dice: 0.6595, decode.d5.loss_cls: 0.1786, decode.d5.loss_mask: 0.4387, decode.d5.loss_dice: 0.6626, decode.d6.loss_cls: 0.1754, decode.d6.loss_mask: 0.4364, decode.d6.loss_dice: 0.6586, decode.d7.loss_cls: 0.1726, decode.d7.loss_mask: 0.4365, decode.d7.loss_dice: 0.6592, decode.d8.loss_cls: 0.1767, decode.d8.loss_mask: 0.4367, decode.d8.loss_dice: 0.6576, loss: 14.1359, grad_norm: 71.6028 2023-11-22 19:33:20,444 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 19:33:20,444 - mmseg - INFO - Iter [137000/160000] lr: 1.369e-06, eta: 3:44:36, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1742, decode.loss_mask: 0.4511, decode.loss_dice: 0.6643, decode.d0.loss_cls: 1.2499, decode.d0.loss_mask: 0.4904, decode.d0.loss_dice: 0.7372, decode.d1.loss_cls: 0.2516, decode.d1.loss_mask: 0.4693, decode.d1.loss_dice: 0.7012, decode.d2.loss_cls: 0.2094, decode.d2.loss_mask: 0.4595, decode.d2.loss_dice: 0.6815, decode.d3.loss_cls: 0.1943, decode.d3.loss_mask: 0.4568, decode.d3.loss_dice: 0.6696, decode.d4.loss_cls: 0.1879, decode.d4.loss_mask: 0.4555, decode.d4.loss_dice: 0.6708, decode.d5.loss_cls: 0.1842, decode.d5.loss_mask: 0.4533, decode.d5.loss_dice: 0.6692, decode.d6.loss_cls: 0.1770, decode.d6.loss_mask: 0.4527, decode.d6.loss_dice: 0.6634, decode.d7.loss_cls: 0.1742, decode.d7.loss_mask: 0.4523, decode.d7.loss_dice: 0.6654, decode.d8.loss_cls: 0.1728, decode.d8.loss_mask: 0.4531, decode.d8.loss_dice: 0.6637, loss: 14.3558, grad_norm: 70.9963 2023-11-22 19:33:48,734 - mmseg - INFO - Iter [137050/160000] lr: 1.366e-06, eta: 3:44:06, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1640, decode.loss_mask: 0.4485, decode.loss_dice: 0.6706, decode.d0.loss_cls: 1.2500, decode.d0.loss_mask: 0.4799, decode.d0.loss_dice: 0.7407, decode.d1.loss_cls: 0.2335, decode.d1.loss_mask: 0.4646, decode.d1.loss_dice: 0.7065, decode.d2.loss_cls: 0.2001, decode.d2.loss_mask: 0.4530, decode.d2.loss_dice: 0.6885, decode.d3.loss_cls: 0.1864, decode.d3.loss_mask: 0.4475, decode.d3.loss_dice: 0.6735, decode.d4.loss_cls: 0.1699, decode.d4.loss_mask: 0.4496, decode.d4.loss_dice: 0.6761, decode.d5.loss_cls: 0.1711, decode.d5.loss_mask: 0.4479, decode.d5.loss_dice: 0.6735, decode.d6.loss_cls: 0.1671, decode.d6.loss_mask: 0.4485, decode.d6.loss_dice: 0.6714, decode.d7.loss_cls: 0.1610, decode.d7.loss_mask: 0.4479, decode.d7.loss_dice: 0.6706, decode.d8.loss_cls: 0.1640, decode.d8.loss_mask: 0.4478, decode.d8.loss_dice: 0.6718, loss: 14.2455, grad_norm: 70.6488 2023-11-22 19:34:17,299 - mmseg - INFO - Iter [137100/160000] lr: 1.363e-06, eta: 3:43:37, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1612, decode.loss_mask: 0.4216, decode.loss_dice: 0.6645, decode.d0.loss_cls: 1.2836, decode.d0.loss_mask: 0.4548, decode.d0.loss_dice: 0.7323, decode.d1.loss_cls: 0.2435, decode.d1.loss_mask: 0.4354, decode.d1.loss_dice: 0.6936, decode.d2.loss_cls: 0.1946, decode.d2.loss_mask: 0.4279, decode.d2.loss_dice: 0.6768, decode.d3.loss_cls: 0.1806, decode.d3.loss_mask: 0.4242, decode.d3.loss_dice: 0.6663, decode.d4.loss_cls: 0.1728, decode.d4.loss_mask: 0.4235, decode.d4.loss_dice: 0.6641, decode.d5.loss_cls: 0.1663, decode.d5.loss_mask: 0.4234, decode.d5.loss_dice: 0.6650, decode.d6.loss_cls: 0.1622, decode.d6.loss_mask: 0.4217, decode.d6.loss_dice: 0.6664, decode.d7.loss_cls: 0.1617, decode.d7.loss_mask: 0.4223, decode.d7.loss_dice: 0.6684, decode.d8.loss_cls: 0.1595, decode.d8.loss_mask: 0.4224, decode.d8.loss_dice: 0.6663, loss: 13.9269, grad_norm: 60.2533 2023-11-22 19:34:45,751 - mmseg - INFO - Iter [137150/160000] lr: 1.360e-06, eta: 3:43:08, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1687, decode.loss_mask: 0.4353, decode.loss_dice: 0.6529, decode.d0.loss_cls: 1.2490, decode.d0.loss_mask: 0.4698, decode.d0.loss_dice: 0.7199, decode.d1.loss_cls: 0.2446, decode.d1.loss_mask: 0.4536, decode.d1.loss_dice: 0.6917, decode.d2.loss_cls: 0.2015, decode.d2.loss_mask: 0.4445, decode.d2.loss_dice: 0.6673, decode.d3.loss_cls: 0.1881, decode.d3.loss_mask: 0.4393, decode.d3.loss_dice: 0.6587, decode.d4.loss_cls: 0.1831, decode.d4.loss_mask: 0.4371, decode.d4.loss_dice: 0.6535, decode.d5.loss_cls: 0.1759, decode.d5.loss_mask: 0.4374, decode.d5.loss_dice: 0.6588, decode.d6.loss_cls: 0.1759, decode.d6.loss_mask: 0.4367, decode.d6.loss_dice: 0.6538, decode.d7.loss_cls: 0.1696, decode.d7.loss_mask: 0.4349, decode.d7.loss_dice: 0.6523, decode.d8.loss_cls: 0.1685, decode.d8.loss_mask: 0.4356, decode.d8.loss_dice: 0.6545, loss: 14.0124, grad_norm: 66.0317 2023-11-22 19:35:13,980 - mmseg - INFO - Iter [137200/160000] lr: 1.357e-06, eta: 3:42:38, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1781, decode.loss_mask: 0.4235, decode.loss_dice: 0.6529, decode.d0.loss_cls: 1.2702, decode.d0.loss_mask: 0.4552, decode.d0.loss_dice: 0.7255, decode.d1.loss_cls: 0.2554, decode.d1.loss_mask: 0.4377, decode.d1.loss_dice: 0.6831, decode.d2.loss_cls: 0.2097, decode.d2.loss_mask: 0.4320, decode.d2.loss_dice: 0.6649, decode.d3.loss_cls: 0.1936, decode.d3.loss_mask: 0.4263, decode.d3.loss_dice: 0.6551, decode.d4.loss_cls: 0.1899, decode.d4.loss_mask: 0.4257, decode.d4.loss_dice: 0.6515, decode.d5.loss_cls: 0.1863, decode.d5.loss_mask: 0.4239, decode.d5.loss_dice: 0.6538, decode.d6.loss_cls: 0.1835, decode.d6.loss_mask: 0.4240, decode.d6.loss_dice: 0.6515, decode.d7.loss_cls: 0.1817, decode.d7.loss_mask: 0.4249, decode.d7.loss_dice: 0.6535, decode.d8.loss_cls: 0.1776, decode.d8.loss_mask: 0.4244, decode.d8.loss_dice: 0.6517, loss: 13.9671, grad_norm: 64.4488 2023-11-22 19:35:42,285 - mmseg - INFO - Iter [137250/160000] lr: 1.354e-06, eta: 3:42:09, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1779, decode.loss_mask: 0.4185, decode.loss_dice: 0.6638, decode.d0.loss_cls: 1.2836, decode.d0.loss_mask: 0.4530, decode.d0.loss_dice: 0.7420, decode.d1.loss_cls: 0.2545, decode.d1.loss_mask: 0.4324, decode.d1.loss_dice: 0.6988, decode.d2.loss_cls: 0.2131, decode.d2.loss_mask: 0.4245, decode.d2.loss_dice: 0.6864, decode.d3.loss_cls: 0.2017, decode.d3.loss_mask: 0.4220, decode.d3.loss_dice: 0.6683, decode.d4.loss_cls: 0.1893, decode.d4.loss_mask: 0.4217, decode.d4.loss_dice: 0.6673, decode.d5.loss_cls: 0.1880, decode.d5.loss_mask: 0.4196, decode.d5.loss_dice: 0.6646, decode.d6.loss_cls: 0.1815, decode.d6.loss_mask: 0.4192, decode.d6.loss_dice: 0.6680, decode.d7.loss_cls: 0.1760, decode.d7.loss_mask: 0.4196, decode.d7.loss_dice: 0.6646, decode.d8.loss_cls: 0.1775, decode.d8.loss_mask: 0.4203, decode.d8.loss_dice: 0.6675, loss: 14.0854, grad_norm: 65.3856 2023-11-22 19:36:10,350 - mmseg - INFO - Iter [137300/160000] lr: 1.351e-06, eta: 3:41:39, time: 0.561, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1660, decode.loss_mask: 0.4374, decode.loss_dice: 0.6476, decode.d0.loss_cls: 1.2144, decode.d0.loss_mask: 0.4710, decode.d0.loss_dice: 0.7071, decode.d1.loss_cls: 0.2288, decode.d1.loss_mask: 0.4556, decode.d1.loss_dice: 0.6830, decode.d2.loss_cls: 0.1930, decode.d2.loss_mask: 0.4469, decode.d2.loss_dice: 0.6659, decode.d3.loss_cls: 0.1782, decode.d3.loss_mask: 0.4423, decode.d3.loss_dice: 0.6551, decode.d4.loss_cls: 0.1738, decode.d4.loss_mask: 0.4416, decode.d4.loss_dice: 0.6514, decode.d5.loss_cls: 0.1700, decode.d5.loss_mask: 0.4407, decode.d5.loss_dice: 0.6480, decode.d6.loss_cls: 0.1681, decode.d6.loss_mask: 0.4394, decode.d6.loss_dice: 0.6506, decode.d7.loss_cls: 0.1644, decode.d7.loss_mask: 0.4396, decode.d7.loss_dice: 0.6488, decode.d8.loss_cls: 0.1631, decode.d8.loss_mask: 0.4387, decode.d8.loss_dice: 0.6472, loss: 13.8776, grad_norm: 60.9129 2023-11-22 19:36:38,780 - mmseg - INFO - Iter [137350/160000] lr: 1.348e-06, eta: 3:41:10, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1675, decode.loss_mask: 0.4414, decode.loss_dice: 0.6542, decode.d0.loss_cls: 1.2177, decode.d0.loss_mask: 0.4758, decode.d0.loss_dice: 0.7232, decode.d1.loss_cls: 0.2335, decode.d1.loss_mask: 0.4582, decode.d1.loss_dice: 0.6887, decode.d2.loss_cls: 0.1922, decode.d2.loss_mask: 0.4492, decode.d2.loss_dice: 0.6788, decode.d3.loss_cls: 0.1890, decode.d3.loss_mask: 0.4421, decode.d3.loss_dice: 0.6630, decode.d4.loss_cls: 0.1776, decode.d4.loss_mask: 0.4431, decode.d4.loss_dice: 0.6663, decode.d5.loss_cls: 0.1750, decode.d5.loss_mask: 0.4433, decode.d5.loss_dice: 0.6609, decode.d6.loss_cls: 0.1676, decode.d6.loss_mask: 0.4429, decode.d6.loss_dice: 0.6587, decode.d7.loss_cls: 0.1697, decode.d7.loss_mask: 0.4417, decode.d7.loss_dice: 0.6590, decode.d8.loss_cls: 0.1668, decode.d8.loss_mask: 0.4424, decode.d8.loss_dice: 0.6593, loss: 14.0490, grad_norm: 70.5535 2023-11-22 19:37:07,092 - mmseg - INFO - Iter [137400/160000] lr: 1.345e-06, eta: 3:40:40, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1858, decode.loss_mask: 0.4332, decode.loss_dice: 0.6646, decode.d0.loss_cls: 1.3064, decode.d0.loss_mask: 0.4717, decode.d0.loss_dice: 0.7433, decode.d1.loss_cls: 0.2581, decode.d1.loss_mask: 0.4531, decode.d1.loss_dice: 0.7057, decode.d2.loss_cls: 0.2193, decode.d2.loss_mask: 0.4437, decode.d2.loss_dice: 0.6881, decode.d3.loss_cls: 0.2043, decode.d3.loss_mask: 0.4355, decode.d3.loss_dice: 0.6683, decode.d4.loss_cls: 0.1983, decode.d4.loss_mask: 0.4361, decode.d4.loss_dice: 0.6708, decode.d5.loss_cls: 0.1916, decode.d5.loss_mask: 0.4355, decode.d5.loss_dice: 0.6678, decode.d6.loss_cls: 0.1882, decode.d6.loss_mask: 0.4327, decode.d6.loss_dice: 0.6671, decode.d7.loss_cls: 0.1853, decode.d7.loss_mask: 0.4328, decode.d7.loss_dice: 0.6679, decode.d8.loss_cls: 0.1840, decode.d8.loss_mask: 0.4315, decode.d8.loss_dice: 0.6669, loss: 14.3376, grad_norm: 65.2288 2023-11-22 19:37:35,520 - mmseg - INFO - Iter [137450/160000] lr: 1.342e-06, eta: 3:40:11, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1810, decode.loss_mask: 0.4388, decode.loss_dice: 0.6858, decode.d0.loss_cls: 1.3064, decode.d0.loss_mask: 0.4723, decode.d0.loss_dice: 0.7575, decode.d1.loss_cls: 0.2600, decode.d1.loss_mask: 0.4551, decode.d1.loss_dice: 0.7216, decode.d2.loss_cls: 0.2143, decode.d2.loss_mask: 0.4465, decode.d2.loss_dice: 0.7028, decode.d3.loss_cls: 0.2012, decode.d3.loss_mask: 0.4422, decode.d3.loss_dice: 0.6897, decode.d4.loss_cls: 0.1896, decode.d4.loss_mask: 0.4434, decode.d4.loss_dice: 0.6912, decode.d5.loss_cls: 0.1858, decode.d5.loss_mask: 0.4395, decode.d5.loss_dice: 0.6921, decode.d6.loss_cls: 0.1869, decode.d6.loss_mask: 0.4386, decode.d6.loss_dice: 0.6860, decode.d7.loss_cls: 0.1797, decode.d7.loss_mask: 0.4394, decode.d7.loss_dice: 0.6898, decode.d8.loss_cls: 0.1802, decode.d8.loss_mask: 0.4388, decode.d8.loss_dice: 0.6838, loss: 14.5398, grad_norm: 67.3782 2023-11-22 19:38:03,584 - mmseg - INFO - Iter [137500/160000] lr: 1.339e-06, eta: 3:39:41, time: 0.561, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1643, decode.loss_mask: 0.4266, decode.loss_dice: 0.6535, decode.d0.loss_cls: 1.2467, decode.d0.loss_mask: 0.4577, decode.d0.loss_dice: 0.7294, decode.d1.loss_cls: 0.2477, decode.d1.loss_mask: 0.4434, decode.d1.loss_dice: 0.6858, decode.d2.loss_cls: 0.2016, decode.d2.loss_mask: 0.4376, decode.d2.loss_dice: 0.6756, decode.d3.loss_cls: 0.1844, decode.d3.loss_mask: 0.4306, decode.d3.loss_dice: 0.6615, decode.d4.loss_cls: 0.1757, decode.d4.loss_mask: 0.4300, decode.d4.loss_dice: 0.6612, decode.d5.loss_cls: 0.1739, decode.d5.loss_mask: 0.4307, decode.d5.loss_dice: 0.6585, decode.d6.loss_cls: 0.1699, decode.d6.loss_mask: 0.4278, decode.d6.loss_dice: 0.6536, decode.d7.loss_cls: 0.1664, decode.d7.loss_mask: 0.4280, decode.d7.loss_dice: 0.6557, decode.d8.loss_cls: 0.1645, decode.d8.loss_mask: 0.4278, decode.d8.loss_dice: 0.6556, loss: 13.9260, grad_norm: 66.6868 2023-11-22 19:38:31,818 - mmseg - INFO - Iter [137550/160000] lr: 1.337e-06, eta: 3:39:12, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1594, decode.loss_mask: 0.4341, decode.loss_dice: 0.6648, decode.d0.loss_cls: 1.2575, decode.d0.loss_mask: 0.4694, decode.d0.loss_dice: 0.7345, decode.d1.loss_cls: 0.2360, decode.d1.loss_mask: 0.4500, decode.d1.loss_dice: 0.6982, decode.d2.loss_cls: 0.1864, decode.d2.loss_mask: 0.4440, decode.d2.loss_dice: 0.6799, decode.d3.loss_cls: 0.1759, decode.d3.loss_mask: 0.4364, decode.d3.loss_dice: 0.6659, decode.d4.loss_cls: 0.1668, decode.d4.loss_mask: 0.4359, decode.d4.loss_dice: 0.6677, decode.d5.loss_cls: 0.1614, decode.d5.loss_mask: 0.4383, decode.d5.loss_dice: 0.6634, decode.d6.loss_cls: 0.1632, decode.d6.loss_mask: 0.4349, decode.d6.loss_dice: 0.6611, decode.d7.loss_cls: 0.1619, decode.d7.loss_mask: 0.4347, decode.d7.loss_dice: 0.6633, decode.d8.loss_cls: 0.1580, decode.d8.loss_mask: 0.4347, decode.d8.loss_dice: 0.6646, loss: 14.0025, grad_norm: 64.4131 2023-11-22 19:39:00,029 - mmseg - INFO - Iter [137600/160000] lr: 1.334e-06, eta: 3:38:42, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1948, decode.loss_mask: 0.4416, decode.loss_dice: 0.6836, decode.d0.loss_cls: 1.2625, decode.d0.loss_mask: 0.4738, decode.d0.loss_dice: 0.7553, decode.d1.loss_cls: 0.2673, decode.d1.loss_mask: 0.4542, decode.d1.loss_dice: 0.7158, decode.d2.loss_cls: 0.2360, decode.d2.loss_mask: 0.4456, decode.d2.loss_dice: 0.6997, decode.d3.loss_cls: 0.2140, decode.d3.loss_mask: 0.4426, decode.d3.loss_dice: 0.6903, decode.d4.loss_cls: 0.2055, decode.d4.loss_mask: 0.4433, decode.d4.loss_dice: 0.6881, decode.d5.loss_cls: 0.2035, decode.d5.loss_mask: 0.4427, decode.d5.loss_dice: 0.6896, decode.d6.loss_cls: 0.2032, decode.d6.loss_mask: 0.4404, decode.d6.loss_dice: 0.6818, decode.d7.loss_cls: 0.2004, decode.d7.loss_mask: 0.4399, decode.d7.loss_dice: 0.6814, decode.d8.loss_cls: 0.1937, decode.d8.loss_mask: 0.4418, decode.d8.loss_dice: 0.6839, loss: 14.6161, grad_norm: 68.6619 2023-11-22 19:39:28,477 - mmseg - INFO - Iter [137650/160000] lr: 1.331e-06, eta: 3:38:13, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1605, decode.loss_mask: 0.4422, decode.loss_dice: 0.6633, decode.d0.loss_cls: 1.2691, decode.d0.loss_mask: 0.4738, decode.d0.loss_dice: 0.7373, decode.d1.loss_cls: 0.2368, decode.d1.loss_mask: 0.4586, decode.d1.loss_dice: 0.6936, decode.d2.loss_cls: 0.1914, decode.d2.loss_mask: 0.4493, decode.d2.loss_dice: 0.6740, decode.d3.loss_cls: 0.1798, decode.d3.loss_mask: 0.4442, decode.d3.loss_dice: 0.6631, decode.d4.loss_cls: 0.1731, decode.d4.loss_mask: 0.4436, decode.d4.loss_dice: 0.6686, decode.d5.loss_cls: 0.1710, decode.d5.loss_mask: 0.4425, decode.d5.loss_dice: 0.6651, decode.d6.loss_cls: 0.1666, decode.d6.loss_mask: 0.4414, decode.d6.loss_dice: 0.6622, decode.d7.loss_cls: 0.1611, decode.d7.loss_mask: 0.4422, decode.d7.loss_dice: 0.6659, decode.d8.loss_cls: 0.1660, decode.d8.loss_mask: 0.4406, decode.d8.loss_dice: 0.6625, loss: 14.1096, grad_norm: 63.5101 2023-11-22 19:39:59,246 - mmseg - INFO - Iter [137700/160000] lr: 1.328e-06, eta: 3:37:44, time: 0.615, data_time: 0.059, memory: 38143, decode.loss_cls: 0.1604, decode.loss_mask: 0.4193, decode.loss_dice: 0.6351, decode.d0.loss_cls: 1.2584, decode.d0.loss_mask: 0.4547, decode.d0.loss_dice: 0.7078, decode.d1.loss_cls: 0.2343, decode.d1.loss_mask: 0.4390, decode.d1.loss_dice: 0.6668, decode.d2.loss_cls: 0.1926, decode.d2.loss_mask: 0.4276, decode.d2.loss_dice: 0.6524, decode.d3.loss_cls: 0.1741, decode.d3.loss_mask: 0.4242, decode.d3.loss_dice: 0.6442, decode.d4.loss_cls: 0.1656, decode.d4.loss_mask: 0.4230, decode.d4.loss_dice: 0.6429, decode.d5.loss_cls: 0.1619, decode.d5.loss_mask: 0.4232, decode.d5.loss_dice: 0.6430, decode.d6.loss_cls: 0.1580, decode.d6.loss_mask: 0.4218, decode.d6.loss_dice: 0.6397, decode.d7.loss_cls: 0.1595, decode.d7.loss_mask: 0.4208, decode.d7.loss_dice: 0.6391, decode.d8.loss_cls: 0.1570, decode.d8.loss_mask: 0.4200, decode.d8.loss_dice: 0.6361, loss: 13.6027, grad_norm: 65.6112 2023-11-22 19:40:27,588 - mmseg - INFO - Iter [137750/160000] lr: 1.325e-06, eta: 3:37:14, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1582, decode.loss_mask: 0.4153, decode.loss_dice: 0.6434, decode.d0.loss_cls: 1.2454, decode.d0.loss_mask: 0.4470, decode.d0.loss_dice: 0.7063, decode.d1.loss_cls: 0.2281, decode.d1.loss_mask: 0.4333, decode.d1.loss_dice: 0.6689, decode.d2.loss_cls: 0.1879, decode.d2.loss_mask: 0.4223, decode.d2.loss_dice: 0.6564, decode.d3.loss_cls: 0.1800, decode.d3.loss_mask: 0.4186, decode.d3.loss_dice: 0.6485, decode.d4.loss_cls: 0.1698, decode.d4.loss_mask: 0.4175, decode.d4.loss_dice: 0.6471, decode.d5.loss_cls: 0.1658, decode.d5.loss_mask: 0.4174, decode.d5.loss_dice: 0.6408, decode.d6.loss_cls: 0.1617, decode.d6.loss_mask: 0.4163, decode.d6.loss_dice: 0.6388, decode.d7.loss_cls: 0.1616, decode.d7.loss_mask: 0.4158, decode.d7.loss_dice: 0.6443, decode.d8.loss_cls: 0.1549, decode.d8.loss_mask: 0.4164, decode.d8.loss_dice: 0.6441, loss: 13.5720, grad_norm: 66.1334 2023-11-22 19:40:55,812 - mmseg - INFO - Iter [137800/160000] lr: 1.322e-06, eta: 3:36:45, time: 0.564, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1627, decode.loss_mask: 0.4535, decode.loss_dice: 0.6871, decode.d0.loss_cls: 1.2631, decode.d0.loss_mask: 0.4854, decode.d0.loss_dice: 0.7504, decode.d1.loss_cls: 0.2361, decode.d1.loss_mask: 0.4671, decode.d1.loss_dice: 0.7106, decode.d2.loss_cls: 0.2006, decode.d2.loss_mask: 0.4577, decode.d2.loss_dice: 0.6940, decode.d3.loss_cls: 0.1814, decode.d3.loss_mask: 0.4563, decode.d3.loss_dice: 0.6876, decode.d4.loss_cls: 0.1733, decode.d4.loss_mask: 0.4548, decode.d4.loss_dice: 0.6833, decode.d5.loss_cls: 0.1731, decode.d5.loss_mask: 0.4546, decode.d5.loss_dice: 0.6879, decode.d6.loss_cls: 0.1654, decode.d6.loss_mask: 0.4538, decode.d6.loss_dice: 0.6904, decode.d7.loss_cls: 0.1661, decode.d7.loss_mask: 0.4533, decode.d7.loss_dice: 0.6873, decode.d8.loss_cls: 0.1654, decode.d8.loss_mask: 0.4535, decode.d8.loss_dice: 0.6846, loss: 14.4402, grad_norm: 65.4253 2023-11-22 19:41:24,237 - mmseg - INFO - Iter [137850/160000] lr: 1.319e-06, eta: 3:36:16, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1591, decode.loss_mask: 0.4297, decode.loss_dice: 0.6545, decode.d0.loss_cls: 1.2530, decode.d0.loss_mask: 0.4607, decode.d0.loss_dice: 0.7208, decode.d1.loss_cls: 0.2273, decode.d1.loss_mask: 0.4399, decode.d1.loss_dice: 0.6775, decode.d2.loss_cls: 0.1938, decode.d2.loss_mask: 0.4325, decode.d2.loss_dice: 0.6675, decode.d3.loss_cls: 0.1819, decode.d3.loss_mask: 0.4299, decode.d3.loss_dice: 0.6546, decode.d4.loss_cls: 0.1724, decode.d4.loss_mask: 0.4294, decode.d4.loss_dice: 0.6550, decode.d5.loss_cls: 0.1697, decode.d5.loss_mask: 0.4291, decode.d5.loss_dice: 0.6530, decode.d6.loss_cls: 0.1630, decode.d6.loss_mask: 0.4302, decode.d6.loss_dice: 0.6520, decode.d7.loss_cls: 0.1602, decode.d7.loss_mask: 0.4293, decode.d7.loss_dice: 0.6503, decode.d8.loss_cls: 0.1600, decode.d8.loss_mask: 0.4292, decode.d8.loss_dice: 0.6527, loss: 13.8182, grad_norm: 62.6057 2023-11-22 19:41:52,700 - mmseg - INFO - Iter [137900/160000] lr: 1.316e-06, eta: 3:35:46, time: 0.569, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1702, decode.loss_mask: 0.4308, decode.loss_dice: 0.6601, decode.d0.loss_cls: 1.2835, decode.d0.loss_mask: 0.4604, decode.d0.loss_dice: 0.7307, decode.d1.loss_cls: 0.2500, decode.d1.loss_mask: 0.4463, decode.d1.loss_dice: 0.7007, decode.d2.loss_cls: 0.2032, decode.d2.loss_mask: 0.4361, decode.d2.loss_dice: 0.6850, decode.d3.loss_cls: 0.1910, decode.d3.loss_mask: 0.4330, decode.d3.loss_dice: 0.6676, decode.d4.loss_cls: 0.1835, decode.d4.loss_mask: 0.4336, decode.d4.loss_dice: 0.6623, decode.d5.loss_cls: 0.1791, decode.d5.loss_mask: 0.4335, decode.d5.loss_dice: 0.6640, decode.d6.loss_cls: 0.1766, decode.d6.loss_mask: 0.4312, decode.d6.loss_dice: 0.6627, decode.d7.loss_cls: 0.1775, decode.d7.loss_mask: 0.4301, decode.d7.loss_dice: 0.6573, decode.d8.loss_cls: 0.1701, decode.d8.loss_mask: 0.4312, decode.d8.loss_dice: 0.6595, loss: 14.1009, grad_norm: 68.0368 2023-11-22 19:42:21,159 - mmseg - INFO - Iter [137950/160000] lr: 1.313e-06, eta: 3:35:17, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1673, decode.loss_mask: 0.4266, decode.loss_dice: 0.6457, decode.d0.loss_cls: 1.2705, decode.d0.loss_mask: 0.4611, decode.d0.loss_dice: 0.7216, decode.d1.loss_cls: 0.2528, decode.d1.loss_mask: 0.4442, decode.d1.loss_dice: 0.6829, decode.d2.loss_cls: 0.2127, decode.d2.loss_mask: 0.4330, decode.d2.loss_dice: 0.6623, decode.d3.loss_cls: 0.1874, decode.d3.loss_mask: 0.4322, decode.d3.loss_dice: 0.6535, decode.d4.loss_cls: 0.1819, decode.d4.loss_mask: 0.4303, decode.d4.loss_dice: 0.6550, decode.d5.loss_cls: 0.1773, decode.d5.loss_mask: 0.4279, decode.d5.loss_dice: 0.6551, decode.d6.loss_cls: 0.1759, decode.d6.loss_mask: 0.4273, decode.d6.loss_dice: 0.6459, decode.d7.loss_cls: 0.1746, decode.d7.loss_mask: 0.4271, decode.d7.loss_dice: 0.6489, decode.d8.loss_cls: 0.1684, decode.d8.loss_mask: 0.4277, decode.d8.loss_dice: 0.6506, loss: 13.9279, grad_norm: 69.3307 2023-11-22 19:42:49,555 - mmseg - INFO - Saving checkpoint at 138000 iterations 2023-11-22 19:42:57,270 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 19:42:57,270 - mmseg - INFO - Iter [138000/160000] lr: 1.310e-06, eta: 3:34:48, time: 0.722, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1776, decode.loss_mask: 0.4410, decode.loss_dice: 0.6678, decode.d0.loss_cls: 1.2762, decode.d0.loss_mask: 0.4693, decode.d0.loss_dice: 0.7444, decode.d1.loss_cls: 0.2526, decode.d1.loss_mask: 0.4550, decode.d1.loss_dice: 0.7028, decode.d2.loss_cls: 0.2080, decode.d2.loss_mask: 0.4459, decode.d2.loss_dice: 0.6837, decode.d3.loss_cls: 0.1921, decode.d3.loss_mask: 0.4410, decode.d3.loss_dice: 0.6753, decode.d4.loss_cls: 0.1922, decode.d4.loss_mask: 0.4398, decode.d4.loss_dice: 0.6767, decode.d5.loss_cls: 0.1864, decode.d5.loss_mask: 0.4412, decode.d5.loss_dice: 0.6716, decode.d6.loss_cls: 0.1829, decode.d6.loss_mask: 0.4401, decode.d6.loss_dice: 0.6685, decode.d7.loss_cls: 0.1843, decode.d7.loss_mask: 0.4381, decode.d7.loss_dice: 0.6696, decode.d8.loss_cls: 0.1777, decode.d8.loss_mask: 0.4392, decode.d8.loss_dice: 0.6687, loss: 14.3094, grad_norm: 67.6736 2023-11-22 19:43:16,896 - mmseg - INFO - per class results: 2023-11-22 19:43:16,902 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.81 | 88.07 | | building | 84.26 | 91.43 | | sky | 94.99 | 97.73 | | floor | 84.39 | 90.61 | | tree | 75.96 | 88.35 | | ceiling | 85.58 | 92.95 | | road | 86.32 | 91.63 | | bed | 91.89 | 95.42 | | windowpane | 65.88 | 80.82 | | grass | 69.0 | 83.41 | | cabinet | 63.08 | 73.87 | | sidewalk | 68.07 | 81.82 | | person | 86.37 | 93.75 | | earth | 37.85 | 53.44 | | door | 55.57 | 70.18 | | table | 69.67 | 84.95 | | mountain | 57.64 | 73.97 | | plant | 54.76 | 65.73 | | curtain | 74.93 | 87.56 | | chair | 65.38 | 77.88 | | car | 87.53 | 94.3 | | water | 51.69 | 62.48 | | painting | 75.51 | 91.36 | | sofa | 72.68 | 88.89 | | shelf | 46.69 | 61.55 | | house | 52.31 | 81.32 | | sea | 61.96 | 90.64 | | mirror | 75.91 | 82.89 | | rug | 66.76 | 80.06 | | field | 35.66 | 55.08 | | armchair | 53.01 | 71.87 | | seat | 64.36 | 84.32 | | fence | 53.69 | 73.31 | | desk | 54.03 | 81.73 | | rock | 53.66 | 70.69 | | wardrobe | 47.63 | 70.09 | | lamp | 73.41 | 83.83 | | bathtub | 80.04 | 86.25 | | railing | 38.64 | 54.09 | | cushion | 59.29 | 67.15 | | base | 40.71 | 64.87 | | box | 34.07 | 45.42 | | column | 48.28 | 71.32 | | signboard | 39.85 | 56.11 | | chest of drawers | 37.9 | 62.68 | | counter | 43.72 | 50.21 | | sand | 37.01 | 52.77 | | sink | 80.14 | 85.11 | | skyscraper | 61.29 | 76.9 | | fireplace | 75.3 | 90.49 | | refrigerator | 77.36 | 83.47 | | grandstand | 47.14 | 78.04 | | path | 23.14 | 37.69 | | stairs | 38.57 | 45.11 | | runway | 71.69 | 93.37 | | case | 55.17 | 75.67 | | pool table | 94.4 | 97.64 | | pillow | 66.2 | 82.99 | | screen door | 81.3 | 86.4 | | stairway | 39.79 | 52.58 | | river | 11.33 | 27.33 | | bridge | 74.36 | 89.16 | | bookcase | 27.59 | 42.47 | | blind | 43.57 | 52.12 | | coffee table | 71.09 | 86.66 | | toilet | 90.42 | 92.78 | | flower | 43.82 | 67.91 | | book | 52.66 | 78.96 | | hill | 8.19 | 15.7 | | bench | 64.51 | 73.3 | | countertop | 63.44 | 79.91 | | stove | 88.03 | 91.4 | | palm | 54.59 | 81.41 | | kitchen island | 56.08 | 81.25 | | computer | 78.91 | 88.7 | | swivel chair | 47.37 | 63.96 | | boat | 34.86 | 56.65 | | bar | 58.37 | 65.83 | | arcade machine | 76.24 | 80.86 | | hovel | 67.31 | 76.46 | | bus | 85.47 | 97.31 | | towel | 78.25 | 89.38 | | light | 65.13 | 77.17 | | truck | 22.92 | 26.26 | | tower | 45.82 | 78.28 | | chandelier | 71.17 | 88.82 | | awning | 42.86 | 61.51 | | streetlight | 46.46 | 67.05 | | booth | 41.86 | 68.89 | | television receiver | 78.56 | 88.28 | | airplane | 60.41 | 77.0 | | dirt track | 5.12 | 15.79 | | apparel | 46.97 | 75.13 | | pole | 35.49 | 55.8 | | land | 3.26 | 6.57 | | bannister | 18.46 | 31.4 | | escalator | 47.47 | 58.35 | | ottoman | 58.52 | 77.65 | | bottle | 39.41 | 69.1 | | buffet | 48.95 | 66.07 | | poster | 27.29 | 43.01 | | stage | 26.33 | 48.14 | | van | 44.8 | 68.81 | | ship | 10.13 | 15.36 | | fountain | 21.51 | 21.9 | | conveyer belt | 76.74 | 95.04 | | canopy | 27.04 | 53.09 | | washer | 70.1 | 73.3 | | plaything | 41.05 | 55.85 | | swimming pool | 64.79 | 68.78 | | stool | 55.64 | 78.12 | | barrel | 71.62 | 98.21 | | basket | 44.24 | 56.13 | | waterfall | 78.28 | 88.42 | | tent | 94.21 | 98.22 | | bag | 27.97 | 39.49 | | minibike | 71.97 | 90.98 | | cradle | 90.78 | 97.41 | | oven | 25.04 | 70.48 | | ball | 56.17 | 62.5 | | food | 61.62 | 70.04 | | step | 26.38 | 34.69 | | tank | 62.11 | 66.27 | | trade name | 29.23 | 36.99 | | microwave | 42.17 | 46.16 | | pot | 50.93 | 62.43 | | animal | 57.46 | 58.69 | | bicycle | 62.78 | 80.67 | | lake | 58.14 | 63.66 | | dishwasher | 72.91 | 78.71 | | screen | 57.96 | 91.85 | | blanket | 42.74 | 54.01 | | sculpture | 64.92 | 89.17 | | hood | 67.25 | 78.41 | | sconce | 60.85 | 75.67 | | vase | 53.77 | 74.39 | | traffic light | 48.87 | 72.45 | | tray | 19.91 | 29.9 | | ashcan | 50.91 | 74.9 | | fan | 71.04 | 84.74 | | pier | 16.18 | 17.12 | | crt screen | 3.36 | 9.9 | | plate | 65.15 | 82.51 | | monitor | 11.0 | 11.97 | | bulletin board | 51.03 | 81.05 | | shower | 13.26 | 25.05 | | radiator | 70.9 | 86.93 | | glass | 24.27 | 26.79 | | clock | 54.48 | 68.95 | | flag | 72.94 | 83.71 | +---------------------+-------+-------+ 2023-11-22 19:43:16,902 - mmseg - INFO - Summary: 2023-11-22 19:43:16,902 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.97 | 55.17 | 69.29 | +-------+-------+-------+ 2023-11-22 19:43:16,903 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 19:43:16,903 - mmseg - INFO - Iter(val) [250] aAcc: 0.8497, mIoU: 0.5517, mAcc: 0.6929, IoU.wall: 0.8081, IoU.building: 0.8426, IoU.sky: 0.9499, IoU.floor: 0.8439, IoU.tree: 0.7596, IoU.ceiling: 0.8558, IoU.road: 0.8632, IoU.bed : 0.9189, IoU.windowpane: 0.6588, IoU.grass: 0.6900, IoU.cabinet: 0.6308, IoU.sidewalk: 0.6807, IoU.person: 0.8637, IoU.earth: 0.3785, IoU.door: 0.5557, IoU.table: 0.6967, IoU.mountain: 0.5764, IoU.plant: 0.5476, IoU.curtain: 0.7493, IoU.chair: 0.6538, IoU.car: 0.8753, IoU.water: 0.5169, IoU.painting: 0.7551, IoU.sofa: 0.7268, IoU.shelf: 0.4669, IoU.house: 0.5231, IoU.sea: 0.6196, IoU.mirror: 0.7591, IoU.rug: 0.6676, IoU.field: 0.3566, IoU.armchair: 0.5301, IoU.seat: 0.6436, IoU.fence: 0.5369, IoU.desk: 0.5403, IoU.rock: 0.5366, IoU.wardrobe: 0.4763, IoU.lamp: 0.7341, IoU.bathtub: 0.8004, IoU.railing: 0.3864, IoU.cushion: 0.5929, IoU.base: 0.4071, IoU.box: 0.3407, IoU.column: 0.4828, IoU.signboard: 0.3985, IoU.chest of drawers: 0.3790, IoU.counter: 0.4372, IoU.sand: 0.3701, IoU.sink: 0.8014, IoU.skyscraper: 0.6129, IoU.fireplace: 0.7530, IoU.refrigerator: 0.7736, IoU.grandstand: 0.4714, IoU.path: 0.2314, IoU.stairs: 0.3857, IoU.runway: 0.7169, IoU.case: 0.5517, IoU.pool table: 0.9440, IoU.pillow: 0.6620, IoU.screen door: 0.8130, IoU.stairway: 0.3979, IoU.river: 0.1133, IoU.bridge: 0.7436, IoU.bookcase: 0.2759, IoU.blind: 0.4357, IoU.coffee table: 0.7109, IoU.toilet: 0.9042, IoU.flower: 0.4382, IoU.book: 0.5266, IoU.hill: 0.0819, IoU.bench: 0.6451, IoU.countertop: 0.6344, IoU.stove: 0.8803, IoU.palm: 0.5459, IoU.kitchen island: 0.5608, IoU.computer: 0.7891, IoU.swivel chair: 0.4737, IoU.boat: 0.3486, IoU.bar: 0.5837, IoU.arcade machine: 0.7624, IoU.hovel: 0.6731, IoU.bus: 0.8547, IoU.towel: 0.7825, IoU.light: 0.6513, IoU.truck: 0.2292, IoU.tower: 0.4582, IoU.chandelier: 0.7117, IoU.awning: 0.4286, IoU.streetlight: 0.4646, IoU.booth: 0.4186, IoU.television receiver: 0.7856, IoU.airplane: 0.6041, IoU.dirt track: 0.0512, IoU.apparel: 0.4697, IoU.pole: 0.3549, IoU.land: 0.0326, IoU.bannister: 0.1846, IoU.escalator: 0.4747, IoU.ottoman: 0.5852, IoU.bottle: 0.3941, IoU.buffet: 0.4895, IoU.poster: 0.2729, IoU.stage: 0.2633, IoU.van: 0.4480, IoU.ship: 0.1013, IoU.fountain: 0.2151, IoU.conveyer belt: 0.7674, IoU.canopy: 0.2704, IoU.washer: 0.7010, IoU.plaything: 0.4105, IoU.swimming pool: 0.6479, IoU.stool: 0.5564, IoU.barrel: 0.7162, IoU.basket: 0.4424, IoU.waterfall: 0.7828, IoU.tent: 0.9421, IoU.bag: 0.2797, IoU.minibike: 0.7197, IoU.cradle: 0.9078, IoU.oven: 0.2504, IoU.ball: 0.5617, IoU.food: 0.6162, IoU.step: 0.2638, IoU.tank: 0.6211, IoU.trade name: 0.2923, IoU.microwave: 0.4217, IoU.pot: 0.5093, IoU.animal: 0.5746, IoU.bicycle: 0.6278, IoU.lake: 0.5814, IoU.dishwasher: 0.7291, IoU.screen: 0.5796, IoU.blanket: 0.4274, IoU.sculpture: 0.6492, IoU.hood: 0.6725, IoU.sconce: 0.6085, IoU.vase: 0.5377, IoU.traffic light: 0.4887, IoU.tray: 0.1991, IoU.ashcan: 0.5091, IoU.fan: 0.7104, IoU.pier: 0.1618, IoU.crt screen: 0.0336, IoU.plate: 0.6515, IoU.monitor: 0.1100, IoU.bulletin board: 0.5103, IoU.shower: 0.1326, IoU.radiator: 0.7090, IoU.glass: 0.2427, IoU.clock: 0.5448, IoU.flag: 0.7294, Acc.wall: 0.8807, Acc.building: 0.9143, Acc.sky: 0.9773, Acc.floor: 0.9061, Acc.tree: 0.8835, Acc.ceiling: 0.9295, Acc.road: 0.9163, Acc.bed : 0.9542, Acc.windowpane: 0.8082, Acc.grass: 0.8341, Acc.cabinet: 0.7387, Acc.sidewalk: 0.8182, Acc.person: 0.9375, Acc.earth: 0.5344, Acc.door: 0.7018, Acc.table: 0.8495, Acc.mountain: 0.7397, Acc.plant: 0.6573, Acc.curtain: 0.8756, Acc.chair: 0.7788, Acc.car: 0.9430, Acc.water: 0.6248, Acc.painting: 0.9136, Acc.sofa: 0.8889, Acc.shelf: 0.6155, Acc.house: 0.8132, Acc.sea: 0.9064, Acc.mirror: 0.8289, Acc.rug: 0.8006, Acc.field: 0.5508, Acc.armchair: 0.7187, Acc.seat: 0.8432, Acc.fence: 0.7331, Acc.desk: 0.8173, Acc.rock: 0.7069, Acc.wardrobe: 0.7009, Acc.lamp: 0.8383, Acc.bathtub: 0.8625, Acc.railing: 0.5409, Acc.cushion: 0.6715, Acc.base: 0.6487, Acc.box: 0.4542, Acc.column: 0.7132, Acc.signboard: 0.5611, Acc.chest of drawers: 0.6268, Acc.counter: 0.5021, Acc.sand: 0.5277, Acc.sink: 0.8511, Acc.skyscraper: 0.7690, Acc.fireplace: 0.9049, Acc.refrigerator: 0.8347, Acc.grandstand: 0.7804, Acc.path: 0.3769, Acc.stairs: 0.4511, Acc.runway: 0.9337, Acc.case: 0.7567, Acc.pool table: 0.9764, Acc.pillow: 0.8299, Acc.screen door: 0.8640, Acc.stairway: 0.5258, Acc.river: 0.2733, Acc.bridge: 0.8916, Acc.bookcase: 0.4247, Acc.blind: 0.5212, Acc.coffee table: 0.8666, Acc.toilet: 0.9278, Acc.flower: 0.6791, Acc.book: 0.7896, Acc.hill: 0.1570, Acc.bench: 0.7330, Acc.countertop: 0.7991, Acc.stove: 0.9140, Acc.palm: 0.8141, Acc.kitchen island: 0.8125, Acc.computer: 0.8870, Acc.swivel chair: 0.6396, Acc.boat: 0.5665, Acc.bar: 0.6583, Acc.arcade machine: 0.8086, Acc.hovel: 0.7646, Acc.bus: 0.9731, Acc.towel: 0.8938, Acc.light: 0.7717, Acc.truck: 0.2626, Acc.tower: 0.7828, Acc.chandelier: 0.8882, Acc.awning: 0.6151, Acc.streetlight: 0.6705, Acc.booth: 0.6889, Acc.television receiver: 0.8828, Acc.airplane: 0.7700, Acc.dirt track: 0.1579, Acc.apparel: 0.7513, Acc.pole: 0.5580, Acc.land: 0.0657, Acc.bannister: 0.3140, Acc.escalator: 0.5835, Acc.ottoman: 0.7765, Acc.bottle: 0.6910, Acc.buffet: 0.6607, Acc.poster: 0.4301, Acc.stage: 0.4814, Acc.van: 0.6881, Acc.ship: 0.1536, Acc.fountain: 0.2190, Acc.conveyer belt: 0.9504, Acc.canopy: 0.5309, Acc.washer: 0.7330, Acc.plaything: 0.5585, Acc.swimming pool: 0.6878, Acc.stool: 0.7812, Acc.barrel: 0.9821, Acc.basket: 0.5613, Acc.waterfall: 0.8842, Acc.tent: 0.9822, Acc.bag: 0.3949, Acc.minibike: 0.9098, Acc.cradle: 0.9741, Acc.oven: 0.7048, Acc.ball: 0.6250, Acc.food: 0.7004, Acc.step: 0.3469, Acc.tank: 0.6627, Acc.trade name: 0.3699, Acc.microwave: 0.4616, Acc.pot: 0.6243, Acc.animal: 0.5869, Acc.bicycle: 0.8067, Acc.lake: 0.6366, Acc.dishwasher: 0.7871, Acc.screen: 0.9185, Acc.blanket: 0.5401, Acc.sculpture: 0.8917, Acc.hood: 0.7841, Acc.sconce: 0.7567, Acc.vase: 0.7439, Acc.traffic light: 0.7245, Acc.tray: 0.2990, Acc.ashcan: 0.7490, Acc.fan: 0.8474, Acc.pier: 0.1712, Acc.crt screen: 0.0990, Acc.plate: 0.8251, Acc.monitor: 0.1197, Acc.bulletin board: 0.8105, Acc.shower: 0.2505, Acc.radiator: 0.8693, Acc.glass: 0.2679, Acc.clock: 0.6895, Acc.flag: 0.8371 2023-11-22 19:43:45,248 - mmseg - INFO - Iter [138050/160000] lr: 1.307e-06, eta: 3:34:22, time: 0.960, data_time: 0.406, memory: 38143, decode.loss_cls: 0.1688, decode.loss_mask: 0.4452, decode.loss_dice: 0.6832, decode.d0.loss_cls: 1.2503, decode.d0.loss_mask: 0.4777, decode.d0.loss_dice: 0.7533, decode.d1.loss_cls: 0.2545, decode.d1.loss_mask: 0.4598, decode.d1.loss_dice: 0.7169, decode.d2.loss_cls: 0.2107, decode.d2.loss_mask: 0.4558, decode.d2.loss_dice: 0.6975, decode.d3.loss_cls: 0.1940, decode.d3.loss_mask: 0.4497, decode.d3.loss_dice: 0.6882, decode.d4.loss_cls: 0.1844, decode.d4.loss_mask: 0.4495, decode.d4.loss_dice: 0.6866, decode.d5.loss_cls: 0.1825, decode.d5.loss_mask: 0.4467, decode.d5.loss_dice: 0.6821, decode.d6.loss_cls: 0.1755, decode.d6.loss_mask: 0.4462, decode.d6.loss_dice: 0.6802, decode.d7.loss_cls: 0.1753, decode.d7.loss_mask: 0.4453, decode.d7.loss_dice: 0.6825, decode.d8.loss_cls: 0.1707, decode.d8.loss_mask: 0.4461, decode.d8.loss_dice: 0.6826, loss: 14.4421, grad_norm: 70.6722 2023-11-22 19:44:13,451 - mmseg - INFO - Iter [138100/160000] lr: 1.304e-06, eta: 3:33:53, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1700, decode.loss_mask: 0.4304, decode.loss_dice: 0.6594, decode.d0.loss_cls: 1.2246, decode.d0.loss_mask: 0.4615, decode.d0.loss_dice: 0.7240, decode.d1.loss_cls: 0.2373, decode.d1.loss_mask: 0.4475, decode.d1.loss_dice: 0.6891, decode.d2.loss_cls: 0.1973, decode.d2.loss_mask: 0.4388, decode.d2.loss_dice: 0.6773, decode.d3.loss_cls: 0.1832, decode.d3.loss_mask: 0.4352, decode.d3.loss_dice: 0.6678, decode.d4.loss_cls: 0.1764, decode.d4.loss_mask: 0.4341, decode.d4.loss_dice: 0.6611, decode.d5.loss_cls: 0.1745, decode.d5.loss_mask: 0.4319, decode.d5.loss_dice: 0.6628, decode.d6.loss_cls: 0.1707, decode.d6.loss_mask: 0.4322, decode.d6.loss_dice: 0.6595, decode.d7.loss_cls: 0.1708, decode.d7.loss_mask: 0.4306, decode.d7.loss_dice: 0.6634, decode.d8.loss_cls: 0.1712, decode.d8.loss_mask: 0.4296, decode.d8.loss_dice: 0.6589, loss: 13.9711, grad_norm: 66.0347 2023-11-22 19:44:41,760 - mmseg - INFO - Iter [138150/160000] lr: 1.301e-06, eta: 3:33:23, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1788, decode.loss_mask: 0.4388, decode.loss_dice: 0.6651, decode.d0.loss_cls: 1.2649, decode.d0.loss_mask: 0.4763, decode.d0.loss_dice: 0.7338, decode.d1.loss_cls: 0.2461, decode.d1.loss_mask: 0.4525, decode.d1.loss_dice: 0.7006, decode.d2.loss_cls: 0.2074, decode.d2.loss_mask: 0.4454, decode.d2.loss_dice: 0.6801, decode.d3.loss_cls: 0.1932, decode.d3.loss_mask: 0.4410, decode.d3.loss_dice: 0.6719, decode.d4.loss_cls: 0.1874, decode.d4.loss_mask: 0.4400, decode.d4.loss_dice: 0.6713, decode.d5.loss_cls: 0.1899, decode.d5.loss_mask: 0.4389, decode.d5.loss_dice: 0.6687, decode.d6.loss_cls: 0.1799, decode.d6.loss_mask: 0.4394, decode.d6.loss_dice: 0.6662, decode.d7.loss_cls: 0.1804, decode.d7.loss_mask: 0.4406, decode.d7.loss_dice: 0.6672, decode.d8.loss_cls: 0.1787, decode.d8.loss_mask: 0.4396, decode.d8.loss_dice: 0.6672, loss: 14.2513, grad_norm: 63.1353 2023-11-22 19:45:10,129 - mmseg - INFO - Iter [138200/160000] lr: 1.298e-06, eta: 3:32:54, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1748, decode.loss_mask: 0.4376, decode.loss_dice: 0.6702, decode.d0.loss_cls: 1.2587, decode.d0.loss_mask: 0.4721, decode.d0.loss_dice: 0.7449, decode.d1.loss_cls: 0.2648, decode.d1.loss_mask: 0.4516, decode.d1.loss_dice: 0.7023, decode.d2.loss_cls: 0.2133, decode.d2.loss_mask: 0.4422, decode.d2.loss_dice: 0.6894, decode.d3.loss_cls: 0.1898, decode.d3.loss_mask: 0.4415, decode.d3.loss_dice: 0.6783, decode.d4.loss_cls: 0.1882, decode.d4.loss_mask: 0.4380, decode.d4.loss_dice: 0.6760, decode.d5.loss_cls: 0.1810, decode.d5.loss_mask: 0.4367, decode.d5.loss_dice: 0.6741, decode.d6.loss_cls: 0.1793, decode.d6.loss_mask: 0.4361, decode.d6.loss_dice: 0.6689, decode.d7.loss_cls: 0.1763, decode.d7.loss_mask: 0.4380, decode.d7.loss_dice: 0.6706, decode.d8.loss_cls: 0.1716, decode.d8.loss_mask: 0.4376, decode.d8.loss_dice: 0.6736, loss: 14.2775, grad_norm: 67.5492 2023-11-22 19:45:38,683 - mmseg - INFO - Iter [138250/160000] lr: 1.295e-06, eta: 3:32:24, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1535, decode.loss_mask: 0.4404, decode.loss_dice: 0.6469, decode.d0.loss_cls: 1.2281, decode.d0.loss_mask: 0.4719, decode.d0.loss_dice: 0.7180, decode.d1.loss_cls: 0.2227, decode.d1.loss_mask: 0.4540, decode.d1.loss_dice: 0.6790, decode.d2.loss_cls: 0.1877, decode.d2.loss_mask: 0.4460, decode.d2.loss_dice: 0.6627, decode.d3.loss_cls: 0.1666, decode.d3.loss_mask: 0.4437, decode.d3.loss_dice: 0.6535, decode.d4.loss_cls: 0.1639, decode.d4.loss_mask: 0.4429, decode.d4.loss_dice: 0.6529, decode.d5.loss_cls: 0.1614, decode.d5.loss_mask: 0.4431, decode.d5.loss_dice: 0.6518, decode.d6.loss_cls: 0.1564, decode.d6.loss_mask: 0.4416, decode.d6.loss_dice: 0.6500, decode.d7.loss_cls: 0.1538, decode.d7.loss_mask: 0.4408, decode.d7.loss_dice: 0.6513, decode.d8.loss_cls: 0.1556, decode.d8.loss_mask: 0.4396, decode.d8.loss_dice: 0.6513, loss: 13.8311, grad_norm: 58.5273 2023-11-22 19:46:07,149 - mmseg - INFO - Iter [138300/160000] lr: 1.292e-06, eta: 3:31:55, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1748, decode.loss_mask: 0.4258, decode.loss_dice: 0.6529, decode.d0.loss_cls: 1.2799, decode.d0.loss_mask: 0.4579, decode.d0.loss_dice: 0.7276, decode.d1.loss_cls: 0.2406, decode.d1.loss_mask: 0.4419, decode.d1.loss_dice: 0.6880, decode.d2.loss_cls: 0.2085, decode.d2.loss_mask: 0.4329, decode.d2.loss_dice: 0.6677, decode.d3.loss_cls: 0.1879, decode.d3.loss_mask: 0.4278, decode.d3.loss_dice: 0.6633, decode.d4.loss_cls: 0.1802, decode.d4.loss_mask: 0.4290, decode.d4.loss_dice: 0.6583, decode.d5.loss_cls: 0.1731, decode.d5.loss_mask: 0.4285, decode.d5.loss_dice: 0.6592, decode.d6.loss_cls: 0.1708, decode.d6.loss_mask: 0.4285, decode.d6.loss_dice: 0.6548, decode.d7.loss_cls: 0.1662, decode.d7.loss_mask: 0.4291, decode.d7.loss_dice: 0.6554, decode.d8.loss_cls: 0.1679, decode.d8.loss_mask: 0.4264, decode.d8.loss_dice: 0.6563, loss: 13.9614, grad_norm: 62.4985 2023-11-22 19:46:35,516 - mmseg - INFO - Iter [138350/160000] lr: 1.289e-06, eta: 3:31:26, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1694, decode.loss_mask: 0.4522, decode.loss_dice: 0.6995, decode.d0.loss_cls: 1.2694, decode.d0.loss_mask: 0.4876, decode.d0.loss_dice: 0.7645, decode.d1.loss_cls: 0.2533, decode.d1.loss_mask: 0.4664, decode.d1.loss_dice: 0.7273, decode.d2.loss_cls: 0.2067, decode.d2.loss_mask: 0.4568, decode.d2.loss_dice: 0.7127, decode.d3.loss_cls: 0.1875, decode.d3.loss_mask: 0.4531, decode.d3.loss_dice: 0.7033, decode.d4.loss_cls: 0.1812, decode.d4.loss_mask: 0.4543, decode.d4.loss_dice: 0.6999, decode.d5.loss_cls: 0.1772, decode.d5.loss_mask: 0.4531, decode.d5.loss_dice: 0.7019, decode.d6.loss_cls: 0.1712, decode.d6.loss_mask: 0.4525, decode.d6.loss_dice: 0.6979, decode.d7.loss_cls: 0.1721, decode.d7.loss_mask: 0.4529, decode.d7.loss_dice: 0.6996, decode.d8.loss_cls: 0.1712, decode.d8.loss_mask: 0.4511, decode.d8.loss_dice: 0.6974, loss: 14.6432, grad_norm: 69.8639 2023-11-22 19:47:03,601 - mmseg - INFO - Iter [138400/160000] lr: 1.286e-06, eta: 3:30:56, time: 0.562, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1524, decode.loss_mask: 0.4460, decode.loss_dice: 0.6559, decode.d0.loss_cls: 1.2144, decode.d0.loss_mask: 0.4818, decode.d0.loss_dice: 0.7224, decode.d1.loss_cls: 0.2230, decode.d1.loss_mask: 0.4601, decode.d1.loss_dice: 0.6814, decode.d2.loss_cls: 0.1882, decode.d2.loss_mask: 0.4530, decode.d2.loss_dice: 0.6676, decode.d3.loss_cls: 0.1757, decode.d3.loss_mask: 0.4492, decode.d3.loss_dice: 0.6549, decode.d4.loss_cls: 0.1678, decode.d4.loss_mask: 0.4454, decode.d4.loss_dice: 0.6539, decode.d5.loss_cls: 0.1621, decode.d5.loss_mask: 0.4472, decode.d5.loss_dice: 0.6615, decode.d6.loss_cls: 0.1581, decode.d6.loss_mask: 0.4469, decode.d6.loss_dice: 0.6512, decode.d7.loss_cls: 0.1576, decode.d7.loss_mask: 0.4458, decode.d7.loss_dice: 0.6569, decode.d8.loss_cls: 0.1530, decode.d8.loss_mask: 0.4451, decode.d8.loss_dice: 0.6570, loss: 13.9355, grad_norm: 66.3471 2023-11-22 19:47:32,001 - mmseg - INFO - Iter [138450/160000] lr: 1.283e-06, eta: 3:30:27, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1551, decode.loss_mask: 0.4310, decode.loss_dice: 0.6511, decode.d0.loss_cls: 1.2261, decode.d0.loss_mask: 0.4636, decode.d0.loss_dice: 0.7198, decode.d1.loss_cls: 0.2381, decode.d1.loss_mask: 0.4460, decode.d1.loss_dice: 0.6837, decode.d2.loss_cls: 0.1937, decode.d2.loss_mask: 0.4381, decode.d2.loss_dice: 0.6701, decode.d3.loss_cls: 0.1756, decode.d3.loss_mask: 0.4346, decode.d3.loss_dice: 0.6583, decode.d4.loss_cls: 0.1737, decode.d4.loss_mask: 0.4320, decode.d4.loss_dice: 0.6557, decode.d5.loss_cls: 0.1618, decode.d5.loss_mask: 0.4337, decode.d5.loss_dice: 0.6579, decode.d6.loss_cls: 0.1624, decode.d6.loss_mask: 0.4317, decode.d6.loss_dice: 0.6539, decode.d7.loss_cls: 0.1570, decode.d7.loss_mask: 0.4317, decode.d7.loss_dice: 0.6521, decode.d8.loss_cls: 0.1584, decode.d8.loss_mask: 0.4310, decode.d8.loss_dice: 0.6529, loss: 13.8310, grad_norm: 68.5180 2023-11-22 19:48:00,204 - mmseg - INFO - Iter [138500/160000] lr: 1.280e-06, eta: 3:29:57, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1737, decode.loss_mask: 0.4210, decode.loss_dice: 0.6737, decode.d0.loss_cls: 1.2389, decode.d0.loss_mask: 0.4511, decode.d0.loss_dice: 0.7481, decode.d1.loss_cls: 0.2425, decode.d1.loss_mask: 0.4357, decode.d1.loss_dice: 0.7085, decode.d2.loss_cls: 0.2037, decode.d2.loss_mask: 0.4288, decode.d2.loss_dice: 0.6934, decode.d3.loss_cls: 0.1871, decode.d3.loss_mask: 0.4249, decode.d3.loss_dice: 0.6788, decode.d4.loss_cls: 0.1787, decode.d4.loss_mask: 0.4258, decode.d4.loss_dice: 0.6758, decode.d5.loss_cls: 0.1761, decode.d5.loss_mask: 0.4245, decode.d5.loss_dice: 0.6781, decode.d6.loss_cls: 0.1763, decode.d6.loss_mask: 0.4229, decode.d6.loss_dice: 0.6762, decode.d7.loss_cls: 0.1723, decode.d7.loss_mask: 0.4234, decode.d7.loss_dice: 0.6732, decode.d8.loss_cls: 0.1722, decode.d8.loss_mask: 0.4227, decode.d8.loss_dice: 0.6731, loss: 14.0810, grad_norm: 67.9026 2023-11-22 19:48:28,647 - mmseg - INFO - Iter [138550/160000] lr: 1.277e-06, eta: 3:29:28, time: 0.569, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1702, decode.loss_mask: 0.4376, decode.loss_dice: 0.6682, decode.d0.loss_cls: 1.2567, decode.d0.loss_mask: 0.4710, decode.d0.loss_dice: 0.7373, decode.d1.loss_cls: 0.2443, decode.d1.loss_mask: 0.4566, decode.d1.loss_dice: 0.7011, decode.d2.loss_cls: 0.2059, decode.d2.loss_mask: 0.4462, decode.d2.loss_dice: 0.6797, decode.d3.loss_cls: 0.1889, decode.d3.loss_mask: 0.4447, decode.d3.loss_dice: 0.6746, decode.d4.loss_cls: 0.1876, decode.d4.loss_mask: 0.4421, decode.d4.loss_dice: 0.6675, decode.d5.loss_cls: 0.1746, decode.d5.loss_mask: 0.4394, decode.d5.loss_dice: 0.6714, decode.d6.loss_cls: 0.1776, decode.d6.loss_mask: 0.4406, decode.d6.loss_dice: 0.6675, decode.d7.loss_cls: 0.1724, decode.d7.loss_mask: 0.4388, decode.d7.loss_dice: 0.6691, decode.d8.loss_cls: 0.1695, decode.d8.loss_mask: 0.4384, decode.d8.loss_dice: 0.6707, loss: 14.2105, grad_norm: 61.9358 2023-11-22 19:48:56,967 - mmseg - INFO - Iter [138600/160000] lr: 1.274e-06, eta: 3:28:58, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1599, decode.loss_mask: 0.4426, decode.loss_dice: 0.6675, decode.d0.loss_cls: 1.2164, decode.d0.loss_mask: 0.4759, decode.d0.loss_dice: 0.7337, decode.d1.loss_cls: 0.2198, decode.d1.loss_mask: 0.4601, decode.d1.loss_dice: 0.7036, decode.d2.loss_cls: 0.1851, decode.d2.loss_mask: 0.4523, decode.d2.loss_dice: 0.6847, decode.d3.loss_cls: 0.1757, decode.d3.loss_mask: 0.4468, decode.d3.loss_dice: 0.6745, decode.d4.loss_cls: 0.1694, decode.d4.loss_mask: 0.4440, decode.d4.loss_dice: 0.6751, decode.d5.loss_cls: 0.1690, decode.d5.loss_mask: 0.4445, decode.d5.loss_dice: 0.6688, decode.d6.loss_cls: 0.1663, decode.d6.loss_mask: 0.4421, decode.d6.loss_dice: 0.6662, decode.d7.loss_cls: 0.1629, decode.d7.loss_mask: 0.4428, decode.d7.loss_dice: 0.6651, decode.d8.loss_cls: 0.1593, decode.d8.loss_mask: 0.4416, decode.d8.loss_dice: 0.6662, loss: 14.0819, grad_norm: 68.8404 2023-11-22 19:49:25,185 - mmseg - INFO - Iter [138650/160000] lr: 1.271e-06, eta: 3:28:29, time: 0.566, data_time: 0.015, memory: 38143, decode.loss_cls: 0.1502, decode.loss_mask: 0.4295, decode.loss_dice: 0.6521, decode.d0.loss_cls: 1.2326, decode.d0.loss_mask: 0.4656, decode.d0.loss_dice: 0.7167, decode.d1.loss_cls: 0.2256, decode.d1.loss_mask: 0.4463, decode.d1.loss_dice: 0.6858, decode.d2.loss_cls: 0.1762, decode.d2.loss_mask: 0.4388, decode.d2.loss_dice: 0.6687, decode.d3.loss_cls: 0.1688, decode.d3.loss_mask: 0.4342, decode.d3.loss_dice: 0.6620, decode.d4.loss_cls: 0.1616, decode.d4.loss_mask: 0.4327, decode.d4.loss_dice: 0.6560, decode.d5.loss_cls: 0.1572, decode.d5.loss_mask: 0.4335, decode.d5.loss_dice: 0.6578, decode.d6.loss_cls: 0.1578, decode.d6.loss_mask: 0.4315, decode.d6.loss_dice: 0.6518, decode.d7.loss_cls: 0.1526, decode.d7.loss_mask: 0.4319, decode.d7.loss_dice: 0.6559, decode.d8.loss_cls: 0.1545, decode.d8.loss_mask: 0.4306, decode.d8.loss_dice: 0.6536, loss: 13.7718, grad_norm: 61.8732 2023-11-22 19:49:53,336 - mmseg - INFO - Iter [138700/160000] lr: 1.268e-06, eta: 3:27:59, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1760, decode.loss_mask: 0.4567, decode.loss_dice: 0.6933, decode.d0.loss_cls: 1.2557, decode.d0.loss_mask: 0.4876, decode.d0.loss_dice: 0.7654, decode.d1.loss_cls: 0.2582, decode.d1.loss_mask: 0.4729, decode.d1.loss_dice: 0.7300, decode.d2.loss_cls: 0.2184, decode.d2.loss_mask: 0.4653, decode.d2.loss_dice: 0.7116, decode.d3.loss_cls: 0.1975, decode.d3.loss_mask: 0.4633, decode.d3.loss_dice: 0.7044, decode.d4.loss_cls: 0.1913, decode.d4.loss_mask: 0.4599, decode.d4.loss_dice: 0.7013, decode.d5.loss_cls: 0.1904, decode.d5.loss_mask: 0.4592, decode.d5.loss_dice: 0.6995, decode.d6.loss_cls: 0.1866, decode.d6.loss_mask: 0.4588, decode.d6.loss_dice: 0.6933, decode.d7.loss_cls: 0.1820, decode.d7.loss_mask: 0.4586, decode.d7.loss_dice: 0.6927, decode.d8.loss_cls: 0.1799, decode.d8.loss_mask: 0.4561, decode.d8.loss_dice: 0.6910, loss: 14.7569, grad_norm: 69.7678 2023-11-22 19:50:21,713 - mmseg - INFO - Iter [138750/160000] lr: 1.265e-06, eta: 3:27:30, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1548, decode.loss_mask: 0.4280, decode.loss_dice: 0.6503, decode.d0.loss_cls: 1.2381, decode.d0.loss_mask: 0.4638, decode.d0.loss_dice: 0.7162, decode.d1.loss_cls: 0.2281, decode.d1.loss_mask: 0.4456, decode.d1.loss_dice: 0.6768, decode.d2.loss_cls: 0.1884, decode.d2.loss_mask: 0.4351, decode.d2.loss_dice: 0.6620, decode.d3.loss_cls: 0.1729, decode.d3.loss_mask: 0.4324, decode.d3.loss_dice: 0.6515, decode.d4.loss_cls: 0.1690, decode.d4.loss_mask: 0.4307, decode.d4.loss_dice: 0.6509, decode.d5.loss_cls: 0.1620, decode.d5.loss_mask: 0.4299, decode.d5.loss_dice: 0.6518, decode.d6.loss_cls: 0.1583, decode.d6.loss_mask: 0.4288, decode.d6.loss_dice: 0.6474, decode.d7.loss_cls: 0.1560, decode.d7.loss_mask: 0.4285, decode.d7.loss_dice: 0.6452, decode.d8.loss_cls: 0.1567, decode.d8.loss_mask: 0.4281, decode.d8.loss_dice: 0.6458, loss: 13.7330, grad_norm: 62.5448 2023-11-22 19:50:50,003 - mmseg - INFO - Iter [138800/160000] lr: 1.262e-06, eta: 3:27:00, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1769, decode.loss_mask: 0.4289, decode.loss_dice: 0.6553, decode.d0.loss_cls: 1.2523, decode.d0.loss_mask: 0.4614, decode.d0.loss_dice: 0.7251, decode.d1.loss_cls: 0.2442, decode.d1.loss_mask: 0.4446, decode.d1.loss_dice: 0.6855, decode.d2.loss_cls: 0.2068, decode.d2.loss_mask: 0.4361, decode.d2.loss_dice: 0.6706, decode.d3.loss_cls: 0.1931, decode.d3.loss_mask: 0.4326, decode.d3.loss_dice: 0.6625, decode.d4.loss_cls: 0.1832, decode.d4.loss_mask: 0.4308, decode.d4.loss_dice: 0.6616, decode.d5.loss_cls: 0.1788, decode.d5.loss_mask: 0.4327, decode.d5.loss_dice: 0.6618, decode.d6.loss_cls: 0.1772, decode.d6.loss_mask: 0.4298, decode.d6.loss_dice: 0.6586, decode.d7.loss_cls: 0.1753, decode.d7.loss_mask: 0.4302, decode.d7.loss_dice: 0.6590, decode.d8.loss_cls: 0.1732, decode.d8.loss_mask: 0.4293, decode.d8.loss_dice: 0.6563, loss: 14.0134, grad_norm: 62.5038 2023-11-22 19:51:18,362 - mmseg - INFO - Iter [138850/160000] lr: 1.259e-06, eta: 3:26:31, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1790, decode.loss_mask: 0.4461, decode.loss_dice: 0.6599, decode.d0.loss_cls: 1.2526, decode.d0.loss_mask: 0.4845, decode.d0.loss_dice: 0.7275, decode.d1.loss_cls: 0.2479, decode.d1.loss_mask: 0.4646, decode.d1.loss_dice: 0.6931, decode.d2.loss_cls: 0.2067, decode.d2.loss_mask: 0.4538, decode.d2.loss_dice: 0.6711, decode.d3.loss_cls: 0.1865, decode.d3.loss_mask: 0.4497, decode.d3.loss_dice: 0.6633, decode.d4.loss_cls: 0.1828, decode.d4.loss_mask: 0.4477, decode.d4.loss_dice: 0.6640, decode.d5.loss_cls: 0.1798, decode.d5.loss_mask: 0.4478, decode.d5.loss_dice: 0.6648, decode.d6.loss_cls: 0.1790, decode.d6.loss_mask: 0.4466, decode.d6.loss_dice: 0.6596, decode.d7.loss_cls: 0.1767, decode.d7.loss_mask: 0.4455, decode.d7.loss_dice: 0.6590, decode.d8.loss_cls: 0.1753, decode.d8.loss_mask: 0.4461, decode.d8.loss_dice: 0.6612, loss: 14.2222, grad_norm: 73.8178 2023-11-22 19:51:46,866 - mmseg - INFO - Iter [138900/160000] lr: 1.256e-06, eta: 3:26:02, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1528, decode.loss_mask: 0.4263, decode.loss_dice: 0.6700, decode.d0.loss_cls: 1.2630, decode.d0.loss_mask: 0.4555, decode.d0.loss_dice: 0.7353, decode.d1.loss_cls: 0.2373, decode.d1.loss_mask: 0.4408, decode.d1.loss_dice: 0.7046, decode.d2.loss_cls: 0.1953, decode.d2.loss_mask: 0.4324, decode.d2.loss_dice: 0.6879, decode.d3.loss_cls: 0.1752, decode.d3.loss_mask: 0.4267, decode.d3.loss_dice: 0.6661, decode.d4.loss_cls: 0.1707, decode.d4.loss_mask: 0.4276, decode.d4.loss_dice: 0.6714, decode.d5.loss_cls: 0.1617, decode.d5.loss_mask: 0.4280, decode.d5.loss_dice: 0.6697, decode.d6.loss_cls: 0.1625, decode.d6.loss_mask: 0.4273, decode.d6.loss_dice: 0.6656, decode.d7.loss_cls: 0.1561, decode.d7.loss_mask: 0.4258, decode.d7.loss_dice: 0.6677, decode.d8.loss_cls: 0.1543, decode.d8.loss_mask: 0.4259, decode.d8.loss_dice: 0.6652, loss: 13.9489, grad_norm: 64.2577 2023-11-22 19:52:17,668 - mmseg - INFO - Iter [138950/160000] lr: 1.253e-06, eta: 3:25:33, time: 0.616, data_time: 0.060, memory: 38143, decode.loss_cls: 0.1668, decode.loss_mask: 0.4267, decode.loss_dice: 0.6563, decode.d0.loss_cls: 1.2802, decode.d0.loss_mask: 0.4591, decode.d0.loss_dice: 0.7275, decode.d1.loss_cls: 0.2503, decode.d1.loss_mask: 0.4397, decode.d1.loss_dice: 0.6937, decode.d2.loss_cls: 0.2019, decode.d2.loss_mask: 0.4333, decode.d2.loss_dice: 0.6750, decode.d3.loss_cls: 0.1826, decode.d3.loss_mask: 0.4304, decode.d3.loss_dice: 0.6604, decode.d4.loss_cls: 0.1831, decode.d4.loss_mask: 0.4278, decode.d4.loss_dice: 0.6595, decode.d5.loss_cls: 0.1744, decode.d5.loss_mask: 0.4288, decode.d5.loss_dice: 0.6592, decode.d6.loss_cls: 0.1727, decode.d6.loss_mask: 0.4279, decode.d6.loss_dice: 0.6556, decode.d7.loss_cls: 0.1726, decode.d7.loss_mask: 0.4276, decode.d7.loss_dice: 0.6566, decode.d8.loss_cls: 0.1673, decode.d8.loss_mask: 0.4276, decode.d8.loss_dice: 0.6589, loss: 13.9833, grad_norm: 62.8367 2023-11-22 19:52:45,950 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 19:52:45,950 - mmseg - INFO - Iter [139000/160000] lr: 1.250e-06, eta: 3:25:03, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1580, decode.loss_mask: 0.4294, decode.loss_dice: 0.6687, decode.d0.loss_cls: 1.2234, decode.d0.loss_mask: 0.4655, decode.d0.loss_dice: 0.7401, decode.d1.loss_cls: 0.2379, decode.d1.loss_mask: 0.4447, decode.d1.loss_dice: 0.7005, decode.d2.loss_cls: 0.1929, decode.d2.loss_mask: 0.4360, decode.d2.loss_dice: 0.6823, decode.d3.loss_cls: 0.1767, decode.d3.loss_mask: 0.4319, decode.d3.loss_dice: 0.6729, decode.d4.loss_cls: 0.1675, decode.d4.loss_mask: 0.4325, decode.d4.loss_dice: 0.6731, decode.d5.loss_cls: 0.1675, decode.d5.loss_mask: 0.4314, decode.d5.loss_dice: 0.6701, decode.d6.loss_cls: 0.1587, decode.d6.loss_mask: 0.4303, decode.d6.loss_dice: 0.6691, decode.d7.loss_cls: 0.1565, decode.d7.loss_mask: 0.4298, decode.d7.loss_dice: 0.6681, decode.d8.loss_cls: 0.1553, decode.d8.loss_mask: 0.4304, decode.d8.loss_dice: 0.6700, loss: 13.9710, grad_norm: 64.1173 2023-11-22 19:53:14,388 - mmseg - INFO - Iter [139050/160000] lr: 1.247e-06, eta: 3:24:34, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1695, decode.loss_mask: 0.4329, decode.loss_dice: 0.6626, decode.d0.loss_cls: 1.2522, decode.d0.loss_mask: 0.4679, decode.d0.loss_dice: 0.7297, decode.d1.loss_cls: 0.2428, decode.d1.loss_mask: 0.4498, decode.d1.loss_dice: 0.6927, decode.d2.loss_cls: 0.1973, decode.d2.loss_mask: 0.4408, decode.d2.loss_dice: 0.6775, decode.d3.loss_cls: 0.1854, decode.d3.loss_mask: 0.4375, decode.d3.loss_dice: 0.6661, decode.d4.loss_cls: 0.1814, decode.d4.loss_mask: 0.4357, decode.d4.loss_dice: 0.6649, decode.d5.loss_cls: 0.1744, decode.d5.loss_mask: 0.4352, decode.d5.loss_dice: 0.6621, decode.d6.loss_cls: 0.1725, decode.d6.loss_mask: 0.4346, decode.d6.loss_dice: 0.6637, decode.d7.loss_cls: 0.1683, decode.d7.loss_mask: 0.4350, decode.d7.loss_dice: 0.6599, decode.d8.loss_cls: 0.1680, decode.d8.loss_mask: 0.4342, decode.d8.loss_dice: 0.6615, loss: 14.0563, grad_norm: 64.0440 2023-11-22 19:53:42,632 - mmseg - INFO - Iter [139100/160000] lr: 1.244e-06, eta: 3:24:04, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1544, decode.loss_mask: 0.4293, decode.loss_dice: 0.6414, decode.d0.loss_cls: 1.2236, decode.d0.loss_mask: 0.4649, decode.d0.loss_dice: 0.7072, decode.d1.loss_cls: 0.2327, decode.d1.loss_mask: 0.4439, decode.d1.loss_dice: 0.6685, decode.d2.loss_cls: 0.1858, decode.d2.loss_mask: 0.4353, decode.d2.loss_dice: 0.6577, decode.d3.loss_cls: 0.1697, decode.d3.loss_mask: 0.4337, decode.d3.loss_dice: 0.6467, decode.d4.loss_cls: 0.1654, decode.d4.loss_mask: 0.4324, decode.d4.loss_dice: 0.6470, decode.d5.loss_cls: 0.1615, decode.d5.loss_mask: 0.4315, decode.d5.loss_dice: 0.6445, decode.d6.loss_cls: 0.1594, decode.d6.loss_mask: 0.4312, decode.d6.loss_dice: 0.6440, decode.d7.loss_cls: 0.1573, decode.d7.loss_mask: 0.4305, decode.d7.loss_dice: 0.6413, decode.d8.loss_cls: 0.1569, decode.d8.loss_mask: 0.4297, decode.d8.loss_dice: 0.6457, loss: 13.6733, grad_norm: 68.3480 2023-11-22 19:54:11,232 - mmseg - INFO - Iter [139150/160000] lr: 1.241e-06, eta: 3:23:35, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1706, decode.loss_mask: 0.4293, decode.loss_dice: 0.6606, decode.d0.loss_cls: 1.2536, decode.d0.loss_mask: 0.4634, decode.d0.loss_dice: 0.7356, decode.d1.loss_cls: 0.2551, decode.d1.loss_mask: 0.4424, decode.d1.loss_dice: 0.6950, decode.d2.loss_cls: 0.2110, decode.d2.loss_mask: 0.4346, decode.d2.loss_dice: 0.6789, decode.d3.loss_cls: 0.1932, decode.d3.loss_mask: 0.4300, decode.d3.loss_dice: 0.6657, decode.d4.loss_cls: 0.1828, decode.d4.loss_mask: 0.4305, decode.d4.loss_dice: 0.6656, decode.d5.loss_cls: 0.1728, decode.d5.loss_mask: 0.4313, decode.d5.loss_dice: 0.6689, decode.d6.loss_cls: 0.1742, decode.d6.loss_mask: 0.4296, decode.d6.loss_dice: 0.6602, decode.d7.loss_cls: 0.1715, decode.d7.loss_mask: 0.4304, decode.d7.loss_dice: 0.6652, decode.d8.loss_cls: 0.1688, decode.d8.loss_mask: 0.4307, decode.d8.loss_dice: 0.6600, loss: 14.0614, grad_norm: 64.9423 2023-11-22 19:54:39,745 - mmseg - INFO - Iter [139200/160000] lr: 1.238e-06, eta: 3:23:05, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1710, decode.loss_mask: 0.4099, decode.loss_dice: 0.6536, decode.d0.loss_cls: 1.2729, decode.d0.loss_mask: 0.4444, decode.d0.loss_dice: 0.7303, decode.d1.loss_cls: 0.2547, decode.d1.loss_mask: 0.4233, decode.d1.loss_dice: 0.6906, decode.d2.loss_cls: 0.2082, decode.d2.loss_mask: 0.4171, decode.d2.loss_dice: 0.6807, decode.d3.loss_cls: 0.1882, decode.d3.loss_mask: 0.4144, decode.d3.loss_dice: 0.6645, decode.d4.loss_cls: 0.1826, decode.d4.loss_mask: 0.4131, decode.d4.loss_dice: 0.6649, decode.d5.loss_cls: 0.1789, decode.d5.loss_mask: 0.4111, decode.d5.loss_dice: 0.6624, decode.d6.loss_cls: 0.1739, decode.d6.loss_mask: 0.4118, decode.d6.loss_dice: 0.6617, decode.d7.loss_cls: 0.1757, decode.d7.loss_mask: 0.4120, decode.d7.loss_dice: 0.6587, decode.d8.loss_cls: 0.1710, decode.d8.loss_mask: 0.4100, decode.d8.loss_dice: 0.6586, loss: 13.8703, grad_norm: 64.7899 2023-11-22 19:55:08,222 - mmseg - INFO - Iter [139250/160000] lr: 1.235e-06, eta: 3:22:36, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1540, decode.loss_mask: 0.4273, decode.loss_dice: 0.6397, decode.d0.loss_cls: 1.2397, decode.d0.loss_mask: 0.4561, decode.d0.loss_dice: 0.7083, decode.d1.loss_cls: 0.2336, decode.d1.loss_mask: 0.4380, decode.d1.loss_dice: 0.6661, decode.d2.loss_cls: 0.1975, decode.d2.loss_mask: 0.4307, decode.d2.loss_dice: 0.6584, decode.d3.loss_cls: 0.1729, decode.d3.loss_mask: 0.4305, decode.d3.loss_dice: 0.6481, decode.d4.loss_cls: 0.1705, decode.d4.loss_mask: 0.4289, decode.d4.loss_dice: 0.6466, decode.d5.loss_cls: 0.1664, decode.d5.loss_mask: 0.4270, decode.d5.loss_dice: 0.6481, decode.d6.loss_cls: 0.1602, decode.d6.loss_mask: 0.4285, decode.d6.loss_dice: 0.6469, decode.d7.loss_cls: 0.1581, decode.d7.loss_mask: 0.4267, decode.d7.loss_dice: 0.6441, decode.d8.loss_cls: 0.1588, decode.d8.loss_mask: 0.4260, decode.d8.loss_dice: 0.6401, loss: 13.6779, grad_norm: 60.2152 2023-11-22 19:55:36,480 - mmseg - INFO - Iter [139300/160000] lr: 1.232e-06, eta: 3:22:07, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1602, decode.loss_mask: 0.4345, decode.loss_dice: 0.6495, decode.d0.loss_cls: 1.2298, decode.d0.loss_mask: 0.4684, decode.d0.loss_dice: 0.7227, decode.d1.loss_cls: 0.2351, decode.d1.loss_mask: 0.4527, decode.d1.loss_dice: 0.6872, decode.d2.loss_cls: 0.1975, decode.d2.loss_mask: 0.4412, decode.d2.loss_dice: 0.6671, decode.d3.loss_cls: 0.1791, decode.d3.loss_mask: 0.4380, decode.d3.loss_dice: 0.6532, decode.d4.loss_cls: 0.1686, decode.d4.loss_mask: 0.4366, decode.d4.loss_dice: 0.6580, decode.d5.loss_cls: 0.1670, decode.d5.loss_mask: 0.4371, decode.d5.loss_dice: 0.6571, decode.d6.loss_cls: 0.1593, decode.d6.loss_mask: 0.4362, decode.d6.loss_dice: 0.6543, decode.d7.loss_cls: 0.1618, decode.d7.loss_mask: 0.4356, decode.d7.loss_dice: 0.6524, decode.d8.loss_cls: 0.1601, decode.d8.loss_mask: 0.4340, decode.d8.loss_dice: 0.6505, loss: 13.8851, grad_norm: 63.8657 2023-11-22 19:56:04,824 - mmseg - INFO - Iter [139350/160000] lr: 1.229e-06, eta: 3:21:37, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1675, decode.loss_mask: 0.4264, decode.loss_dice: 0.6619, decode.d0.loss_cls: 1.2677, decode.d0.loss_mask: 0.4634, decode.d0.loss_dice: 0.7315, decode.d1.loss_cls: 0.2405, decode.d1.loss_mask: 0.4433, decode.d1.loss_dice: 0.6985, decode.d2.loss_cls: 0.1979, decode.d2.loss_mask: 0.4356, decode.d2.loss_dice: 0.6864, decode.d3.loss_cls: 0.1848, decode.d3.loss_mask: 0.4305, decode.d3.loss_dice: 0.6685, decode.d4.loss_cls: 0.1771, decode.d4.loss_mask: 0.4300, decode.d4.loss_dice: 0.6668, decode.d5.loss_cls: 0.1715, decode.d5.loss_mask: 0.4285, decode.d5.loss_dice: 0.6693, decode.d6.loss_cls: 0.1705, decode.d6.loss_mask: 0.4264, decode.d6.loss_dice: 0.6666, decode.d7.loss_cls: 0.1679, decode.d7.loss_mask: 0.4261, decode.d7.loss_dice: 0.6600, decode.d8.loss_cls: 0.1695, decode.d8.loss_mask: 0.4267, decode.d8.loss_dice: 0.6650, loss: 14.0265, grad_norm: 63.5426 2023-11-22 19:56:33,201 - mmseg - INFO - Iter [139400/160000] lr: 1.226e-06, eta: 3:21:08, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1464, decode.loss_mask: 0.4414, decode.loss_dice: 0.6456, decode.d0.loss_cls: 1.2165, decode.d0.loss_mask: 0.4752, decode.d0.loss_dice: 0.7155, decode.d1.loss_cls: 0.2307, decode.d1.loss_mask: 0.4519, decode.d1.loss_dice: 0.6711, decode.d2.loss_cls: 0.1826, decode.d2.loss_mask: 0.4459, decode.d2.loss_dice: 0.6581, decode.d3.loss_cls: 0.1648, decode.d3.loss_mask: 0.4433, decode.d3.loss_dice: 0.6485, decode.d4.loss_cls: 0.1607, decode.d4.loss_mask: 0.4430, decode.d4.loss_dice: 0.6503, decode.d5.loss_cls: 0.1573, decode.d5.loss_mask: 0.4415, decode.d5.loss_dice: 0.6466, decode.d6.loss_cls: 0.1539, decode.d6.loss_mask: 0.4422, decode.d6.loss_dice: 0.6486, decode.d7.loss_cls: 0.1500, decode.d7.loss_mask: 0.4419, decode.d7.loss_dice: 0.6478, decode.d8.loss_cls: 0.1476, decode.d8.loss_mask: 0.4417, decode.d8.loss_dice: 0.6481, loss: 13.7586, grad_norm: 66.6191 2023-11-22 19:57:01,637 - mmseg - INFO - Iter [139450/160000] lr: 1.223e-06, eta: 3:20:38, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1728, decode.loss_mask: 0.4201, decode.loss_dice: 0.6457, decode.d0.loss_cls: 1.2737, decode.d0.loss_mask: 0.4499, decode.d0.loss_dice: 0.7145, decode.d1.loss_cls: 0.2583, decode.d1.loss_mask: 0.4334, decode.d1.loss_dice: 0.6730, decode.d2.loss_cls: 0.2055, decode.d2.loss_mask: 0.4285, decode.d2.loss_dice: 0.6588, decode.d3.loss_cls: 0.1881, decode.d3.loss_mask: 0.4247, decode.d3.loss_dice: 0.6488, decode.d4.loss_cls: 0.1865, decode.d4.loss_mask: 0.4229, decode.d4.loss_dice: 0.6488, decode.d5.loss_cls: 0.1821, decode.d5.loss_mask: 0.4217, decode.d5.loss_dice: 0.6455, decode.d6.loss_cls: 0.1810, decode.d6.loss_mask: 0.4209, decode.d6.loss_dice: 0.6439, decode.d7.loss_cls: 0.1726, decode.d7.loss_mask: 0.4224, decode.d7.loss_dice: 0.6436, decode.d8.loss_cls: 0.1738, decode.d8.loss_mask: 0.4201, decode.d8.loss_dice: 0.6418, loss: 13.8234, grad_norm: 64.6349 2023-11-22 19:57:29,998 - mmseg - INFO - Iter [139500/160000] lr: 1.220e-06, eta: 3:20:09, time: 0.569, data_time: 0.015, memory: 38143, decode.loss_cls: 0.1681, decode.loss_mask: 0.4541, decode.loss_dice: 0.6649, decode.d0.loss_cls: 1.2568, decode.d0.loss_mask: 0.4887, decode.d0.loss_dice: 0.7355, decode.d1.loss_cls: 0.2545, decode.d1.loss_mask: 0.4684, decode.d1.loss_dice: 0.6940, decode.d2.loss_cls: 0.2086, decode.d2.loss_mask: 0.4602, decode.d2.loss_dice: 0.6764, decode.d3.loss_cls: 0.1901, decode.d3.loss_mask: 0.4579, decode.d3.loss_dice: 0.6684, decode.d4.loss_cls: 0.1816, decode.d4.loss_mask: 0.4564, decode.d4.loss_dice: 0.6674, decode.d5.loss_cls: 0.1773, decode.d5.loss_mask: 0.4555, decode.d5.loss_dice: 0.6651, decode.d6.loss_cls: 0.1694, decode.d6.loss_mask: 0.4549, decode.d6.loss_dice: 0.6699, decode.d7.loss_cls: 0.1663, decode.d7.loss_mask: 0.4544, decode.d7.loss_dice: 0.6658, decode.d8.loss_cls: 0.1651, decode.d8.loss_mask: 0.4533, decode.d8.loss_dice: 0.6681, loss: 14.3171, grad_norm: 66.8171 2023-11-22 19:57:58,123 - mmseg - INFO - Iter [139550/160000] lr: 1.217e-06, eta: 3:19:39, time: 0.562, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1651, decode.loss_mask: 0.4473, decode.loss_dice: 0.6577, decode.d0.loss_cls: 1.2184, decode.d0.loss_mask: 0.4861, decode.d0.loss_dice: 0.7294, decode.d1.loss_cls: 0.2310, decode.d1.loss_mask: 0.4610, decode.d1.loss_dice: 0.6905, decode.d2.loss_cls: 0.1901, decode.d2.loss_mask: 0.4558, decode.d2.loss_dice: 0.6746, decode.d3.loss_cls: 0.1812, decode.d3.loss_mask: 0.4515, decode.d3.loss_dice: 0.6634, decode.d4.loss_cls: 0.1735, decode.d4.loss_mask: 0.4496, decode.d4.loss_dice: 0.6651, decode.d5.loss_cls: 0.1687, decode.d5.loss_mask: 0.4514, decode.d5.loss_dice: 0.6634, decode.d6.loss_cls: 0.1730, decode.d6.loss_mask: 0.4485, decode.d6.loss_dice: 0.6585, decode.d7.loss_cls: 0.1614, decode.d7.loss_mask: 0.4489, decode.d7.loss_dice: 0.6576, decode.d8.loss_cls: 0.1614, decode.d8.loss_mask: 0.4480, decode.d8.loss_dice: 0.6583, loss: 14.0901, grad_norm: 71.1553 2023-11-22 19:58:26,600 - mmseg - INFO - Iter [139600/160000] lr: 1.214e-06, eta: 3:19:10, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1548, decode.loss_mask: 0.4238, decode.loss_dice: 0.6588, decode.d0.loss_cls: 1.2539, decode.d0.loss_mask: 0.4528, decode.d0.loss_dice: 0.7258, decode.d1.loss_cls: 0.2302, decode.d1.loss_mask: 0.4393, decode.d1.loss_dice: 0.6985, decode.d2.loss_cls: 0.1819, decode.d2.loss_mask: 0.4318, decode.d2.loss_dice: 0.6761, decode.d3.loss_cls: 0.1670, decode.d3.loss_mask: 0.4289, decode.d3.loss_dice: 0.6663, decode.d4.loss_cls: 0.1611, decode.d4.loss_mask: 0.4286, decode.d4.loss_dice: 0.6665, decode.d5.loss_cls: 0.1591, decode.d5.loss_mask: 0.4267, decode.d5.loss_dice: 0.6673, decode.d6.loss_cls: 0.1585, decode.d6.loss_mask: 0.4253, decode.d6.loss_dice: 0.6596, decode.d7.loss_cls: 0.1524, decode.d7.loss_mask: 0.4253, decode.d7.loss_dice: 0.6652, decode.d8.loss_cls: 0.1542, decode.d8.loss_mask: 0.4250, decode.d8.loss_dice: 0.6619, loss: 13.8268, grad_norm: 63.1583 2023-11-22 19:58:54,756 - mmseg - INFO - Iter [139650/160000] lr: 1.212e-06, eta: 3:18:40, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1629, decode.loss_mask: 0.4410, decode.loss_dice: 0.6523, decode.d0.loss_cls: 1.2386, decode.d0.loss_mask: 0.4738, decode.d0.loss_dice: 0.7154, decode.d1.loss_cls: 0.2342, decode.d1.loss_mask: 0.4555, decode.d1.loss_dice: 0.6819, decode.d2.loss_cls: 0.1946, decode.d2.loss_mask: 0.4446, decode.d2.loss_dice: 0.6620, decode.d3.loss_cls: 0.1806, decode.d3.loss_mask: 0.4423, decode.d3.loss_dice: 0.6545, decode.d4.loss_cls: 0.1734, decode.d4.loss_mask: 0.4441, decode.d4.loss_dice: 0.6560, decode.d5.loss_cls: 0.1716, decode.d5.loss_mask: 0.4424, decode.d5.loss_dice: 0.6568, decode.d6.loss_cls: 0.1675, decode.d6.loss_mask: 0.4375, decode.d6.loss_dice: 0.6525, decode.d7.loss_cls: 0.1650, decode.d7.loss_mask: 0.4396, decode.d7.loss_dice: 0.6518, decode.d8.loss_cls: 0.1611, decode.d8.loss_mask: 0.4402, decode.d8.loss_dice: 0.6531, loss: 13.9467, grad_norm: 63.4240 2023-11-22 19:59:23,204 - mmseg - INFO - Iter [139700/160000] lr: 1.209e-06, eta: 3:18:11, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1704, decode.loss_mask: 0.4433, decode.loss_dice: 0.6764, decode.d0.loss_cls: 1.2644, decode.d0.loss_mask: 0.4788, decode.d0.loss_dice: 0.7476, decode.d1.loss_cls: 0.2470, decode.d1.loss_mask: 0.4615, decode.d1.loss_dice: 0.7146, decode.d2.loss_cls: 0.2061, decode.d2.loss_mask: 0.4531, decode.d2.loss_dice: 0.6952, decode.d3.loss_cls: 0.1885, decode.d3.loss_mask: 0.4473, decode.d3.loss_dice: 0.6827, decode.d4.loss_cls: 0.1815, decode.d4.loss_mask: 0.4467, decode.d4.loss_dice: 0.6815, decode.d5.loss_cls: 0.1754, decode.d5.loss_mask: 0.4460, decode.d5.loss_dice: 0.6813, decode.d6.loss_cls: 0.1719, decode.d6.loss_mask: 0.4437, decode.d6.loss_dice: 0.6804, decode.d7.loss_cls: 0.1746, decode.d7.loss_mask: 0.4444, decode.d7.loss_dice: 0.6804, decode.d8.loss_cls: 0.1705, decode.d8.loss_mask: 0.4437, decode.d8.loss_dice: 0.6807, loss: 14.3795, grad_norm: 68.6390 2023-11-22 19:59:51,686 - mmseg - INFO - Iter [139750/160000] lr: 1.206e-06, eta: 3:17:42, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1702, decode.loss_mask: 0.4355, decode.loss_dice: 0.6660, decode.d0.loss_cls: 1.2798, decode.d0.loss_mask: 0.4661, decode.d0.loss_dice: 0.7407, decode.d1.loss_cls: 0.2526, decode.d1.loss_mask: 0.4490, decode.d1.loss_dice: 0.6977, decode.d2.loss_cls: 0.2083, decode.d2.loss_mask: 0.4446, decode.d2.loss_dice: 0.6851, decode.d3.loss_cls: 0.1939, decode.d3.loss_mask: 0.4390, decode.d3.loss_dice: 0.6745, decode.d4.loss_cls: 0.1832, decode.d4.loss_mask: 0.4359, decode.d4.loss_dice: 0.6712, decode.d5.loss_cls: 0.1826, decode.d5.loss_mask: 0.4358, decode.d5.loss_dice: 0.6727, decode.d6.loss_cls: 0.1738, decode.d6.loss_mask: 0.4347, decode.d6.loss_dice: 0.6723, decode.d7.loss_cls: 0.1692, decode.d7.loss_mask: 0.4345, decode.d7.loss_dice: 0.6697, decode.d8.loss_cls: 0.1710, decode.d8.loss_mask: 0.4344, decode.d8.loss_dice: 0.6690, loss: 14.2127, grad_norm: 64.0375 2023-11-22 20:00:19,993 - mmseg - INFO - Iter [139800/160000] lr: 1.203e-06, eta: 3:17:12, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1612, decode.loss_mask: 0.4245, decode.loss_dice: 0.6471, decode.d0.loss_cls: 1.2432, decode.d0.loss_mask: 0.4598, decode.d0.loss_dice: 0.7196, decode.d1.loss_cls: 0.2368, decode.d1.loss_mask: 0.4428, decode.d1.loss_dice: 0.6746, decode.d2.loss_cls: 0.1944, decode.d2.loss_mask: 0.4328, decode.d2.loss_dice: 0.6600, decode.d3.loss_cls: 0.1827, decode.d3.loss_mask: 0.4282, decode.d3.loss_dice: 0.6519, decode.d4.loss_cls: 0.1720, decode.d4.loss_mask: 0.4273, decode.d4.loss_dice: 0.6487, decode.d5.loss_cls: 0.1722, decode.d5.loss_mask: 0.4270, decode.d5.loss_dice: 0.6499, decode.d6.loss_cls: 0.1685, decode.d6.loss_mask: 0.4256, decode.d6.loss_dice: 0.6414, decode.d7.loss_cls: 0.1661, decode.d7.loss_mask: 0.4252, decode.d7.loss_dice: 0.6453, decode.d8.loss_cls: 0.1612, decode.d8.loss_mask: 0.4259, decode.d8.loss_dice: 0.6460, loss: 13.7618, grad_norm: 66.8289 2023-11-22 20:00:48,294 - mmseg - INFO - Iter [139850/160000] lr: 1.200e-06, eta: 3:16:43, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1787, decode.loss_mask: 0.4238, decode.loss_dice: 0.6607, decode.d0.loss_cls: 1.2725, decode.d0.loss_mask: 0.4605, decode.d0.loss_dice: 0.7368, decode.d1.loss_cls: 0.2573, decode.d1.loss_mask: 0.4391, decode.d1.loss_dice: 0.6937, decode.d2.loss_cls: 0.2166, decode.d2.loss_mask: 0.4327, decode.d2.loss_dice: 0.6780, decode.d3.loss_cls: 0.1997, decode.d3.loss_mask: 0.4275, decode.d3.loss_dice: 0.6656, decode.d4.loss_cls: 0.1875, decode.d4.loss_mask: 0.4282, decode.d4.loss_dice: 0.6620, decode.d5.loss_cls: 0.1871, decode.d5.loss_mask: 0.4280, decode.d5.loss_dice: 0.6636, decode.d6.loss_cls: 0.1866, decode.d6.loss_mask: 0.4264, decode.d6.loss_dice: 0.6624, decode.d7.loss_cls: 0.1842, decode.d7.loss_mask: 0.4259, decode.d7.loss_dice: 0.6585, decode.d8.loss_cls: 0.1789, decode.d8.loss_mask: 0.4264, decode.d8.loss_dice: 0.6636, loss: 14.1122, grad_norm: 62.8470 2023-11-22 20:01:16,719 - mmseg - INFO - Iter [139900/160000] lr: 1.197e-06, eta: 3:16:13, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1652, decode.loss_mask: 0.4270, decode.loss_dice: 0.6599, decode.d0.loss_cls: 1.2443, decode.d0.loss_mask: 0.4649, decode.d0.loss_dice: 0.7239, decode.d1.loss_cls: 0.2429, decode.d1.loss_mask: 0.4432, decode.d1.loss_dice: 0.6899, decode.d2.loss_cls: 0.2006, decode.d2.loss_mask: 0.4353, decode.d2.loss_dice: 0.6731, decode.d3.loss_cls: 0.1791, decode.d3.loss_mask: 0.4308, decode.d3.loss_dice: 0.6672, decode.d4.loss_cls: 0.1759, decode.d4.loss_mask: 0.4300, decode.d4.loss_dice: 0.6643, decode.d5.loss_cls: 0.1718, decode.d5.loss_mask: 0.4302, decode.d5.loss_dice: 0.6616, decode.d6.loss_cls: 0.1691, decode.d6.loss_mask: 0.4280, decode.d6.loss_dice: 0.6625, decode.d7.loss_cls: 0.1662, decode.d7.loss_mask: 0.4275, decode.d7.loss_dice: 0.6604, decode.d8.loss_cls: 0.1675, decode.d8.loss_mask: 0.4261, decode.d8.loss_dice: 0.6585, loss: 13.9470, grad_norm: 62.9830 2023-11-22 20:01:44,964 - mmseg - INFO - Iter [139950/160000] lr: 1.194e-06, eta: 3:15:44, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1794, decode.loss_mask: 0.4360, decode.loss_dice: 0.6653, decode.d0.loss_cls: 1.2759, decode.d0.loss_mask: 0.4725, decode.d0.loss_dice: 0.7283, decode.d1.loss_cls: 0.2487, decode.d1.loss_mask: 0.4562, decode.d1.loss_dice: 0.6988, decode.d2.loss_cls: 0.2118, decode.d2.loss_mask: 0.4444, decode.d2.loss_dice: 0.6779, decode.d3.loss_cls: 0.1919, decode.d3.loss_mask: 0.4416, decode.d3.loss_dice: 0.6718, decode.d4.loss_cls: 0.1881, decode.d4.loss_mask: 0.4382, decode.d4.loss_dice: 0.6700, decode.d5.loss_cls: 0.1879, decode.d5.loss_mask: 0.4386, decode.d5.loss_dice: 0.6674, decode.d6.loss_cls: 0.1851, decode.d6.loss_mask: 0.4351, decode.d6.loss_dice: 0.6663, decode.d7.loss_cls: 0.1825, decode.d7.loss_mask: 0.4352, decode.d7.loss_dice: 0.6660, decode.d8.loss_cls: 0.1805, decode.d8.loss_mask: 0.4350, decode.d8.loss_dice: 0.6651, loss: 14.2414, grad_norm: 64.9615 2023-11-22 20:02:13,318 - mmseg - INFO - Saving checkpoint at 140000 iterations 2023-11-22 20:02:20,608 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 20:02:20,609 - mmseg - INFO - Iter [140000/160000] lr: 1.191e-06, eta: 3:15:16, time: 0.713, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1600, decode.loss_mask: 0.4316, decode.loss_dice: 0.6505, decode.d0.loss_cls: 1.2354, decode.d0.loss_mask: 0.4612, decode.d0.loss_dice: 0.7198, decode.d1.loss_cls: 0.2343, decode.d1.loss_mask: 0.4478, decode.d1.loss_dice: 0.6800, decode.d2.loss_cls: 0.1938, decode.d2.loss_mask: 0.4403, decode.d2.loss_dice: 0.6707, decode.d3.loss_cls: 0.1758, decode.d3.loss_mask: 0.4342, decode.d3.loss_dice: 0.6596, decode.d4.loss_cls: 0.1741, decode.d4.loss_mask: 0.4340, decode.d4.loss_dice: 0.6573, decode.d5.loss_cls: 0.1689, decode.d5.loss_mask: 0.4347, decode.d5.loss_dice: 0.6572, decode.d6.loss_cls: 0.1635, decode.d6.loss_mask: 0.4334, decode.d6.loss_dice: 0.6544, decode.d7.loss_cls: 0.1572, decode.d7.loss_mask: 0.4343, decode.d7.loss_dice: 0.6545, decode.d8.loss_cls: 0.1590, decode.d8.loss_mask: 0.4334, decode.d8.loss_dice: 0.6551, loss: 13.8658, grad_norm: 66.7300 2023-11-22 20:02:40,358 - mmseg - INFO - per class results: 2023-11-22 20:02:40,367 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.2 | 88.41 | | building | 84.04 | 91.25 | | sky | 95.07 | 97.7 | | floor | 84.26 | 91.07 | | tree | 76.46 | 88.63 | | ceiling | 85.88 | 92.07 | | road | 87.03 | 92.59 | | bed | 91.78 | 95.46 | | windowpane | 65.89 | 81.71 | | grass | 69.31 | 81.34 | | cabinet | 63.47 | 75.58 | | sidewalk | 70.34 | 82.58 | | person | 86.27 | 93.83 | | earth | 39.35 | 54.4 | | door | 54.83 | 70.78 | | table | 71.62 | 83.53 | | mountain | 58.44 | 73.2 | | plant | 54.64 | 67.21 | | curtain | 76.19 | 89.68 | | chair | 65.45 | 76.12 | | car | 87.57 | 93.74 | | water | 54.92 | 66.31 | | painting | 76.83 | 91.06 | | sofa | 74.11 | 89.13 | | shelf | 45.28 | 59.22 | | house | 42.25 | 68.13 | | sea | 62.48 | 90.83 | | mirror | 75.57 | 83.42 | | rug | 67.95 | 81.43 | | field | 37.33 | 60.59 | | armchair | 52.58 | 72.68 | | seat | 63.78 | 83.79 | | fence | 56.69 | 72.47 | | desk | 55.57 | 79.06 | | rock | 54.63 | 78.81 | | wardrobe | 47.11 | 71.04 | | lamp | 74.99 | 84.3 | | bathtub | 79.02 | 86.35 | | railing | 38.92 | 58.06 | | cushion | 66.69 | 76.14 | | base | 36.55 | 63.99 | | box | 34.02 | 43.75 | | column | 50.58 | 71.22 | | signboard | 39.59 | 58.54 | | chest of drawers | 40.17 | 66.93 | | counter | 46.89 | 58.04 | | sand | 41.6 | 58.08 | | sink | 80.36 | 85.46 | | skyscraper | 60.95 | 78.04 | | fireplace | 78.48 | 92.04 | | refrigerator | 84.71 | 91.18 | | grandstand | 42.87 | 72.29 | | path | 21.96 | 32.15 | | stairs | 34.04 | 40.21 | | runway | 71.13 | 93.56 | | case | 53.19 | 74.89 | | pool table | 94.4 | 97.85 | | pillow | 67.0 | 83.6 | | screen door | 81.57 | 87.88 | | stairway | 36.46 | 52.9 | | river | 12.01 | 22.88 | | bridge | 78.46 | 91.28 | | bookcase | 26.51 | 44.46 | | blind | 45.54 | 53.56 | | coffee table | 70.9 | 87.07 | | toilet | 91.27 | 93.98 | | flower | 42.55 | 64.81 | | book | 52.43 | 76.93 | | hill | 8.86 | 16.91 | | bench | 62.48 | 71.13 | | countertop | 65.58 | 80.41 | | stove | 88.28 | 91.39 | | palm | 54.66 | 81.58 | | kitchen island | 56.39 | 82.35 | | computer | 74.5 | 84.04 | | swivel chair | 44.38 | 65.93 | | boat | 37.43 | 54.54 | | bar | 71.18 | 77.48 | | arcade machine | 90.13 | 95.99 | | hovel | 46.04 | 49.44 | | bus | 85.77 | 97.58 | | towel | 77.04 | 88.37 | | light | 66.54 | 78.79 | | truck | 25.39 | 29.62 | | tower | 46.73 | 79.68 | | chandelier | 75.87 | 88.76 | | awning | 38.98 | 52.43 | | streetlight | 48.64 | 63.35 | | booth | 52.86 | 70.1 | | television receiver | 79.04 | 88.57 | | airplane | 60.42 | 77.06 | | dirt track | 23.98 | 36.06 | | apparel | 45.79 | 69.29 | | pole | 40.78 | 64.93 | | land | 3.33 | 7.24 | | bannister | 20.61 | 32.57 | | escalator | 65.45 | 82.53 | | ottoman | 58.91 | 78.14 | | bottle | 37.79 | 63.39 | | buffet | 34.01 | 43.04 | | poster | 27.89 | 44.15 | | stage | 26.39 | 48.46 | | van | 43.0 | 66.9 | | ship | 10.87 | 17.2 | | fountain | 21.57 | 21.91 | | conveyer belt | 79.56 | 95.08 | | canopy | 27.09 | 52.39 | | washer | 80.92 | 85.29 | | plaything | 51.69 | 74.75 | | swimming pool | 70.02 | 71.42 | | stool | 55.66 | 76.74 | | barrel | 92.5 | 98.24 | | basket | 44.11 | 56.94 | | waterfall | 80.07 | 92.41 | | tent | 94.0 | 98.24 | | bag | 23.33 | 33.27 | | minibike | 71.47 | 90.87 | | cradle | 90.57 | 97.53 | | oven | 58.31 | 68.58 | | ball | 62.41 | 75.42 | | food | 62.94 | 73.23 | | step | 14.47 | 19.38 | | tank | 61.67 | 66.26 | | trade name | 25.99 | 30.97 | | microwave | 86.44 | 96.87 | | pot | 56.73 | 69.2 | | animal | 58.68 | 60.02 | | bicycle | 62.18 | 80.0 | | lake | 56.39 | 63.65 | | dishwasher | 78.62 | 83.9 | | screen | 58.1 | 92.14 | | blanket | 37.25 | 52.99 | | sculpture | 71.14 | 89.38 | | hood | 66.29 | 78.44 | | sconce | 60.89 | 76.09 | | vase | 55.94 | 74.9 | | traffic light | 48.13 | 73.77 | | tray | 25.15 | 34.17 | | ashcan | 53.99 | 73.23 | | fan | 70.15 | 86.24 | | pier | 38.61 | 41.03 | | crt screen | 3.08 | 9.53 | | plate | 66.22 | 81.68 | | monitor | 9.15 | 11.96 | | bulletin board | 52.21 | 80.78 | | shower | 17.85 | 22.18 | | radiator | 68.9 | 83.78 | | glass | 23.39 | 25.73 | | clock | 55.45 | 67.84 | | flag | 73.07 | 83.83 | +---------------------+-------+-------+ 2023-11-22 20:02:40,367 - mmseg - INFO - Summary: 2023-11-22 20:02:40,368 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.23 | 56.74 | 70.29 | +-------+-------+-------+ 2023-11-22 20:02:40,574 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_l_640_160k_ade20k_ss/best_mIoU_iter_134000.pth was removed 2023-11-22 20:02:47,288 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_140000.pth. 2023-11-22 20:02:47,289 - mmseg - INFO - Best mIoU is 0.5674 at 140000 iter. 2023-11-22 20:02:47,289 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 20:02:47,289 - mmseg - INFO - Iter(val) [250] aAcc: 0.8523, mIoU: 0.5674, mAcc: 0.7029, IoU.wall: 0.8120, IoU.building: 0.8404, IoU.sky: 0.9507, IoU.floor: 0.8426, IoU.tree: 0.7646, IoU.ceiling: 0.8588, IoU.road: 0.8703, IoU.bed : 0.9178, IoU.windowpane: 0.6589, IoU.grass: 0.6931, IoU.cabinet: 0.6347, IoU.sidewalk: 0.7034, IoU.person: 0.8627, IoU.earth: 0.3935, IoU.door: 0.5483, IoU.table: 0.7162, IoU.mountain: 0.5844, IoU.plant: 0.5464, IoU.curtain: 0.7619, IoU.chair: 0.6545, IoU.car: 0.8757, IoU.water: 0.5492, IoU.painting: 0.7683, IoU.sofa: 0.7411, IoU.shelf: 0.4528, IoU.house: 0.4225, IoU.sea: 0.6248, IoU.mirror: 0.7557, IoU.rug: 0.6795, IoU.field: 0.3733, IoU.armchair: 0.5258, IoU.seat: 0.6378, IoU.fence: 0.5669, IoU.desk: 0.5557, IoU.rock: 0.5463, IoU.wardrobe: 0.4711, IoU.lamp: 0.7499, IoU.bathtub: 0.7902, IoU.railing: 0.3892, IoU.cushion: 0.6669, IoU.base: 0.3655, IoU.box: 0.3402, IoU.column: 0.5058, IoU.signboard: 0.3959, IoU.chest of drawers: 0.4017, IoU.counter: 0.4689, IoU.sand: 0.4160, IoU.sink: 0.8036, IoU.skyscraper: 0.6095, IoU.fireplace: 0.7848, IoU.refrigerator: 0.8471, IoU.grandstand: 0.4287, IoU.path: 0.2196, IoU.stairs: 0.3404, IoU.runway: 0.7113, IoU.case: 0.5319, IoU.pool table: 0.9440, IoU.pillow: 0.6700, IoU.screen door: 0.8157, IoU.stairway: 0.3646, IoU.river: 0.1201, IoU.bridge: 0.7846, IoU.bookcase: 0.2651, IoU.blind: 0.4554, IoU.coffee table: 0.7090, IoU.toilet: 0.9127, IoU.flower: 0.4255, IoU.book: 0.5243, IoU.hill: 0.0886, IoU.bench: 0.6248, IoU.countertop: 0.6558, IoU.stove: 0.8828, IoU.palm: 0.5466, IoU.kitchen island: 0.5639, IoU.computer: 0.7450, IoU.swivel chair: 0.4438, IoU.boat: 0.3743, IoU.bar: 0.7118, IoU.arcade machine: 0.9013, IoU.hovel: 0.4604, IoU.bus: 0.8577, IoU.towel: 0.7704, IoU.light: 0.6654, IoU.truck: 0.2539, IoU.tower: 0.4673, IoU.chandelier: 0.7587, IoU.awning: 0.3898, IoU.streetlight: 0.4864, IoU.booth: 0.5286, IoU.television receiver: 0.7904, IoU.airplane: 0.6042, IoU.dirt track: 0.2398, IoU.apparel: 0.4579, IoU.pole: 0.4078, IoU.land: 0.0333, IoU.bannister: 0.2061, IoU.escalator: 0.6545, IoU.ottoman: 0.5891, IoU.bottle: 0.3779, IoU.buffet: 0.3401, IoU.poster: 0.2789, IoU.stage: 0.2639, IoU.van: 0.4300, IoU.ship: 0.1087, IoU.fountain: 0.2157, IoU.conveyer belt: 0.7956, IoU.canopy: 0.2709, IoU.washer: 0.8092, IoU.plaything: 0.5169, IoU.swimming pool: 0.7002, IoU.stool: 0.5566, IoU.barrel: 0.9250, IoU.basket: 0.4411, IoU.waterfall: 0.8007, IoU.tent: 0.9400, IoU.bag: 0.2333, IoU.minibike: 0.7147, IoU.cradle: 0.9057, IoU.oven: 0.5831, IoU.ball: 0.6241, IoU.food: 0.6294, IoU.step: 0.1447, IoU.tank: 0.6167, IoU.trade name: 0.2599, IoU.microwave: 0.8644, IoU.pot: 0.5673, IoU.animal: 0.5868, IoU.bicycle: 0.6218, IoU.lake: 0.5639, IoU.dishwasher: 0.7862, IoU.screen: 0.5810, IoU.blanket: 0.3725, IoU.sculpture: 0.7114, IoU.hood: 0.6629, IoU.sconce: 0.6089, IoU.vase: 0.5594, IoU.traffic light: 0.4813, IoU.tray: 0.2515, IoU.ashcan: 0.5399, IoU.fan: 0.7015, IoU.pier: 0.3861, IoU.crt screen: 0.0308, IoU.plate: 0.6622, IoU.monitor: 0.0915, IoU.bulletin board: 0.5221, IoU.shower: 0.1785, IoU.radiator: 0.6890, IoU.glass: 0.2339, IoU.clock: 0.5545, IoU.flag: 0.7307, Acc.wall: 0.8841, Acc.building: 0.9125, Acc.sky: 0.9770, Acc.floor: 0.9107, Acc.tree: 0.8863, Acc.ceiling: 0.9207, Acc.road: 0.9259, Acc.bed : 0.9546, Acc.windowpane: 0.8171, Acc.grass: 0.8134, Acc.cabinet: 0.7558, Acc.sidewalk: 0.8258, Acc.person: 0.9383, Acc.earth: 0.5440, Acc.door: 0.7078, Acc.table: 0.8353, Acc.mountain: 0.7320, Acc.plant: 0.6721, Acc.curtain: 0.8968, Acc.chair: 0.7612, Acc.car: 0.9374, Acc.water: 0.6631, Acc.painting: 0.9106, Acc.sofa: 0.8913, Acc.shelf: 0.5922, Acc.house: 0.6813, Acc.sea: 0.9083, Acc.mirror: 0.8342, Acc.rug: 0.8143, Acc.field: 0.6059, Acc.armchair: 0.7268, Acc.seat: 0.8379, Acc.fence: 0.7247, Acc.desk: 0.7906, Acc.rock: 0.7881, Acc.wardrobe: 0.7104, Acc.lamp: 0.8430, Acc.bathtub: 0.8635, Acc.railing: 0.5806, Acc.cushion: 0.7614, Acc.base: 0.6399, Acc.box: 0.4375, Acc.column: 0.7122, Acc.signboard: 0.5854, Acc.chest of drawers: 0.6693, Acc.counter: 0.5804, Acc.sand: 0.5808, Acc.sink: 0.8546, Acc.skyscraper: 0.7804, Acc.fireplace: 0.9204, Acc.refrigerator: 0.9118, Acc.grandstand: 0.7229, Acc.path: 0.3215, Acc.stairs: 0.4021, Acc.runway: 0.9356, Acc.case: 0.7489, Acc.pool table: 0.9785, Acc.pillow: 0.8360, Acc.screen door: 0.8788, Acc.stairway: 0.5290, Acc.river: 0.2288, Acc.bridge: 0.9128, Acc.bookcase: 0.4446, Acc.blind: 0.5356, Acc.coffee table: 0.8707, Acc.toilet: 0.9398, Acc.flower: 0.6481, Acc.book: 0.7693, Acc.hill: 0.1691, Acc.bench: 0.7113, Acc.countertop: 0.8041, Acc.stove: 0.9139, Acc.palm: 0.8158, Acc.kitchen island: 0.8235, Acc.computer: 0.8404, Acc.swivel chair: 0.6593, Acc.boat: 0.5454, Acc.bar: 0.7748, Acc.arcade machine: 0.9599, Acc.hovel: 0.4944, Acc.bus: 0.9758, Acc.towel: 0.8837, Acc.light: 0.7879, Acc.truck: 0.2962, Acc.tower: 0.7968, Acc.chandelier: 0.8876, Acc.awning: 0.5243, Acc.streetlight: 0.6335, Acc.booth: 0.7010, Acc.television receiver: 0.8857, Acc.airplane: 0.7706, Acc.dirt track: 0.3606, Acc.apparel: 0.6929, Acc.pole: 0.6493, Acc.land: 0.0724, Acc.bannister: 0.3257, Acc.escalator: 0.8253, Acc.ottoman: 0.7814, Acc.bottle: 0.6339, Acc.buffet: 0.4304, Acc.poster: 0.4415, Acc.stage: 0.4846, Acc.van: 0.6690, Acc.ship: 0.1720, Acc.fountain: 0.2191, Acc.conveyer belt: 0.9508, Acc.canopy: 0.5239, Acc.washer: 0.8529, Acc.plaything: 0.7475, Acc.swimming pool: 0.7142, Acc.stool: 0.7674, Acc.barrel: 0.9824, Acc.basket: 0.5694, Acc.waterfall: 0.9241, Acc.tent: 0.9824, Acc.bag: 0.3327, Acc.minibike: 0.9087, Acc.cradle: 0.9753, Acc.oven: 0.6858, Acc.ball: 0.7542, Acc.food: 0.7323, Acc.step: 0.1938, Acc.tank: 0.6626, Acc.trade name: 0.3097, Acc.microwave: 0.9687, Acc.pot: 0.6920, Acc.animal: 0.6002, Acc.bicycle: 0.8000, Acc.lake: 0.6365, Acc.dishwasher: 0.8390, Acc.screen: 0.9214, Acc.blanket: 0.5299, Acc.sculpture: 0.8938, Acc.hood: 0.7844, Acc.sconce: 0.7609, Acc.vase: 0.7490, Acc.traffic light: 0.7377, Acc.tray: 0.3417, Acc.ashcan: 0.7323, Acc.fan: 0.8624, Acc.pier: 0.4103, Acc.crt screen: 0.0953, Acc.plate: 0.8168, Acc.monitor: 0.1196, Acc.bulletin board: 0.8078, Acc.shower: 0.2218, Acc.radiator: 0.8378, Acc.glass: 0.2573, Acc.clock: 0.6784, Acc.flag: 0.8383 2023-11-22 20:03:15,756 - mmseg - INFO - Iter [140050/160000] lr: 1.188e-06, eta: 3:14:50, time: 1.103, data_time: 0.547, memory: 38143, decode.loss_cls: 0.1821, decode.loss_mask: 0.4533, decode.loss_dice: 0.6974, decode.d0.loss_cls: 1.2811, decode.d0.loss_mask: 0.4906, decode.d0.loss_dice: 0.7728, decode.d1.loss_cls: 0.2688, decode.d1.loss_mask: 0.4712, decode.d1.loss_dice: 0.7346, decode.d2.loss_cls: 0.2151, decode.d2.loss_mask: 0.4661, decode.d2.loss_dice: 0.7185, decode.d3.loss_cls: 0.2032, decode.d3.loss_mask: 0.4593, decode.d3.loss_dice: 0.7079, decode.d4.loss_cls: 0.1958, decode.d4.loss_mask: 0.4578, decode.d4.loss_dice: 0.7038, decode.d5.loss_cls: 0.1926, decode.d5.loss_mask: 0.4572, decode.d5.loss_dice: 0.6999, decode.d6.loss_cls: 0.1868, decode.d6.loss_mask: 0.4555, decode.d6.loss_dice: 0.6953, decode.d7.loss_cls: 0.1823, decode.d7.loss_mask: 0.4551, decode.d7.loss_dice: 0.6975, decode.d8.loss_cls: 0.1813, decode.d8.loss_mask: 0.4546, decode.d8.loss_dice: 0.6972, loss: 14.8350, grad_norm: 66.4264 2023-11-22 20:03:44,233 - mmseg - INFO - Iter [140100/160000] lr: 1.185e-06, eta: 3:14:21, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1678, decode.loss_mask: 0.4361, decode.loss_dice: 0.6659, decode.d0.loss_cls: 1.2786, decode.d0.loss_mask: 0.4699, decode.d0.loss_dice: 0.7385, decode.d1.loss_cls: 0.2561, decode.d1.loss_mask: 0.4508, decode.d1.loss_dice: 0.7004, decode.d2.loss_cls: 0.2106, decode.d2.loss_mask: 0.4415, decode.d2.loss_dice: 0.6835, decode.d3.loss_cls: 0.1896, decode.d3.loss_mask: 0.4384, decode.d3.loss_dice: 0.6696, decode.d4.loss_cls: 0.1830, decode.d4.loss_mask: 0.4367, decode.d4.loss_dice: 0.6694, decode.d5.loss_cls: 0.1776, decode.d5.loss_mask: 0.4372, decode.d5.loss_dice: 0.6712, decode.d6.loss_cls: 0.1763, decode.d6.loss_mask: 0.4361, decode.d6.loss_dice: 0.6670, decode.d7.loss_cls: 0.1686, decode.d7.loss_mask: 0.4366, decode.d7.loss_dice: 0.6683, decode.d8.loss_cls: 0.1680, decode.d8.loss_mask: 0.4365, decode.d8.loss_dice: 0.6708, loss: 14.2004, grad_norm: 63.1864 2023-11-22 20:04:12,562 - mmseg - INFO - Iter [140150/160000] lr: 1.182e-06, eta: 3:13:51, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1500, decode.loss_mask: 0.4308, decode.loss_dice: 0.6617, decode.d0.loss_cls: 1.2264, decode.d0.loss_mask: 0.4611, decode.d0.loss_dice: 0.7305, decode.d1.loss_cls: 0.2235, decode.d1.loss_mask: 0.4448, decode.d1.loss_dice: 0.6925, decode.d2.loss_cls: 0.1848, decode.d2.loss_mask: 0.4381, decode.d2.loss_dice: 0.6763, decode.d3.loss_cls: 0.1678, decode.d3.loss_mask: 0.4362, decode.d3.loss_dice: 0.6673, decode.d4.loss_cls: 0.1640, decode.d4.loss_mask: 0.4336, decode.d4.loss_dice: 0.6649, decode.d5.loss_cls: 0.1590, decode.d5.loss_mask: 0.4312, decode.d5.loss_dice: 0.6621, decode.d6.loss_cls: 0.1540, decode.d6.loss_mask: 0.4301, decode.d6.loss_dice: 0.6624, decode.d7.loss_cls: 0.1541, decode.d7.loss_mask: 0.4298, decode.d7.loss_dice: 0.6616, decode.d8.loss_cls: 0.1492, decode.d8.loss_mask: 0.4311, decode.d8.loss_dice: 0.6618, loss: 13.8408, grad_norm: 62.1522 2023-11-22 20:04:43,305 - mmseg - INFO - Iter [140200/160000] lr: 1.179e-06, eta: 3:13:22, time: 0.615, data_time: 0.061, memory: 38143, decode.loss_cls: 0.1606, decode.loss_mask: 0.4418, decode.loss_dice: 0.6613, decode.d0.loss_cls: 1.2334, decode.d0.loss_mask: 0.4681, decode.d0.loss_dice: 0.7264, decode.d1.loss_cls: 0.2320, decode.d1.loss_mask: 0.4591, decode.d1.loss_dice: 0.6918, decode.d2.loss_cls: 0.1927, decode.d2.loss_mask: 0.4502, decode.d2.loss_dice: 0.6762, decode.d3.loss_cls: 0.1774, decode.d3.loss_mask: 0.4452, decode.d3.loss_dice: 0.6650, decode.d4.loss_cls: 0.1697, decode.d4.loss_mask: 0.4454, decode.d4.loss_dice: 0.6639, decode.d5.loss_cls: 0.1682, decode.d5.loss_mask: 0.4443, decode.d5.loss_dice: 0.6667, decode.d6.loss_cls: 0.1622, decode.d6.loss_mask: 0.4429, decode.d6.loss_dice: 0.6616, decode.d7.loss_cls: 0.1583, decode.d7.loss_mask: 0.4426, decode.d7.loss_dice: 0.6640, decode.d8.loss_cls: 0.1550, decode.d8.loss_mask: 0.4416, decode.d8.loss_dice: 0.6655, loss: 14.0333, grad_norm: 69.2256 2023-11-22 20:05:11,667 - mmseg - INFO - Iter [140250/160000] lr: 1.176e-06, eta: 3:12:53, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1618, decode.loss_mask: 0.4073, decode.loss_dice: 0.6417, decode.d0.loss_cls: 1.2624, decode.d0.loss_mask: 0.4369, decode.d0.loss_dice: 0.7016, decode.d1.loss_cls: 0.2335, decode.d1.loss_mask: 0.4216, decode.d1.loss_dice: 0.6690, decode.d2.loss_cls: 0.1943, decode.d2.loss_mask: 0.4143, decode.d2.loss_dice: 0.6564, decode.d3.loss_cls: 0.1811, decode.d3.loss_mask: 0.4117, decode.d3.loss_dice: 0.6479, decode.d4.loss_cls: 0.1753, decode.d4.loss_mask: 0.4101, decode.d4.loss_dice: 0.6460, decode.d5.loss_cls: 0.1732, decode.d5.loss_mask: 0.4094, decode.d5.loss_dice: 0.6422, decode.d6.loss_cls: 0.1714, decode.d6.loss_mask: 0.4063, decode.d6.loss_dice: 0.6366, decode.d7.loss_cls: 0.1678, decode.d7.loss_mask: 0.4066, decode.d7.loss_dice: 0.6372, decode.d8.loss_cls: 0.1634, decode.d8.loss_mask: 0.4075, decode.d8.loss_dice: 0.6369, loss: 13.5314, grad_norm: 60.9914 2023-11-22 20:05:40,166 - mmseg - INFO - Iter [140300/160000] lr: 1.173e-06, eta: 3:12:23, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1695, decode.loss_mask: 0.4403, decode.loss_dice: 0.6843, decode.d0.loss_cls: 1.2969, decode.d0.loss_mask: 0.4702, decode.d0.loss_dice: 0.7528, decode.d1.loss_cls: 0.2503, decode.d1.loss_mask: 0.4557, decode.d1.loss_dice: 0.7128, decode.d2.loss_cls: 0.2056, decode.d2.loss_mask: 0.4497, decode.d2.loss_dice: 0.6988, decode.d3.loss_cls: 0.1867, decode.d3.loss_mask: 0.4426, decode.d3.loss_dice: 0.6881, decode.d4.loss_cls: 0.1829, decode.d4.loss_mask: 0.4417, decode.d4.loss_dice: 0.6826, decode.d5.loss_cls: 0.1812, decode.d5.loss_mask: 0.4413, decode.d5.loss_dice: 0.6816, decode.d6.loss_cls: 0.1773, decode.d6.loss_mask: 0.4387, decode.d6.loss_dice: 0.6807, decode.d7.loss_cls: 0.1771, decode.d7.loss_mask: 0.4395, decode.d7.loss_dice: 0.6788, decode.d8.loss_cls: 0.1725, decode.d8.loss_mask: 0.4399, decode.d8.loss_dice: 0.6799, loss: 14.4001, grad_norm: 65.6472 2023-11-22 20:06:08,650 - mmseg - INFO - Iter [140350/160000] lr: 1.170e-06, eta: 3:11:54, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1699, decode.loss_mask: 0.4265, decode.loss_dice: 0.6611, decode.d0.loss_cls: 1.2574, decode.d0.loss_mask: 0.4632, decode.d0.loss_dice: 0.7253, decode.d1.loss_cls: 0.2491, decode.d1.loss_mask: 0.4436, decode.d1.loss_dice: 0.6927, decode.d2.loss_cls: 0.2051, decode.d2.loss_mask: 0.4359, decode.d2.loss_dice: 0.6738, decode.d3.loss_cls: 0.1870, decode.d3.loss_mask: 0.4325, decode.d3.loss_dice: 0.6677, decode.d4.loss_cls: 0.1772, decode.d4.loss_mask: 0.4313, decode.d4.loss_dice: 0.6630, decode.d5.loss_cls: 0.1715, decode.d5.loss_mask: 0.4326, decode.d5.loss_dice: 0.6654, decode.d6.loss_cls: 0.1739, decode.d6.loss_mask: 0.4307, decode.d6.loss_dice: 0.6593, decode.d7.loss_cls: 0.1674, decode.d7.loss_mask: 0.4291, decode.d7.loss_dice: 0.6625, decode.d8.loss_cls: 0.1667, decode.d8.loss_mask: 0.4276, decode.d8.loss_dice: 0.6604, loss: 14.0093, grad_norm: 69.8369 2023-11-22 20:06:36,836 - mmseg - INFO - Iter [140400/160000] lr: 1.167e-06, eta: 3:11:24, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1562, decode.loss_mask: 0.4234, decode.loss_dice: 0.6343, decode.d0.loss_cls: 1.2083, decode.d0.loss_mask: 0.4582, decode.d0.loss_dice: 0.7069, decode.d1.loss_cls: 0.2192, decode.d1.loss_mask: 0.4411, decode.d1.loss_dice: 0.6790, decode.d2.loss_cls: 0.1876, decode.d2.loss_mask: 0.4328, decode.d2.loss_dice: 0.6584, decode.d3.loss_cls: 0.1699, decode.d3.loss_mask: 0.4298, decode.d3.loss_dice: 0.6504, decode.d4.loss_cls: 0.1640, decode.d4.loss_mask: 0.4271, decode.d4.loss_dice: 0.6443, decode.d5.loss_cls: 0.1632, decode.d5.loss_mask: 0.4269, decode.d5.loss_dice: 0.6442, decode.d6.loss_cls: 0.1591, decode.d6.loss_mask: 0.4248, decode.d6.loss_dice: 0.6406, decode.d7.loss_cls: 0.1549, decode.d7.loss_mask: 0.4244, decode.d7.loss_dice: 0.6395, decode.d8.loss_cls: 0.1563, decode.d8.loss_mask: 0.4245, decode.d8.loss_dice: 0.6433, loss: 13.5927, grad_norm: 64.6437 2023-11-22 20:07:05,201 - mmseg - INFO - Iter [140450/160000] lr: 1.164e-06, eta: 3:10:55, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1436, decode.loss_mask: 0.4057, decode.loss_dice: 0.6266, decode.d0.loss_cls: 1.2645, decode.d0.loss_mask: 0.4424, decode.d0.loss_dice: 0.6905, decode.d1.loss_cls: 0.2203, decode.d1.loss_mask: 0.4204, decode.d1.loss_dice: 0.6580, decode.d2.loss_cls: 0.1784, decode.d2.loss_mask: 0.4121, decode.d2.loss_dice: 0.6423, decode.d3.loss_cls: 0.1598, decode.d3.loss_mask: 0.4091, decode.d3.loss_dice: 0.6369, decode.d4.loss_cls: 0.1595, decode.d4.loss_mask: 0.4084, decode.d4.loss_dice: 0.6326, decode.d5.loss_cls: 0.1526, decode.d5.loss_mask: 0.4077, decode.d5.loss_dice: 0.6292, decode.d6.loss_cls: 0.1452, decode.d6.loss_mask: 0.4071, decode.d6.loss_dice: 0.6289, decode.d7.loss_cls: 0.1480, decode.d7.loss_mask: 0.4061, decode.d7.loss_dice: 0.6242, decode.d8.loss_cls: 0.1440, decode.d8.loss_mask: 0.4065, decode.d8.loss_dice: 0.6286, loss: 13.2394, grad_norm: 59.5716 2023-11-22 20:07:33,551 - mmseg - INFO - Iter [140500/160000] lr: 1.161e-06, eta: 3:10:25, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1665, decode.loss_mask: 0.4350, decode.loss_dice: 0.6348, decode.d0.loss_cls: 1.2270, decode.d0.loss_mask: 0.4676, decode.d0.loss_dice: 0.7062, decode.d1.loss_cls: 0.2321, decode.d1.loss_mask: 0.4475, decode.d1.loss_dice: 0.6700, decode.d2.loss_cls: 0.1933, decode.d2.loss_mask: 0.4390, decode.d2.loss_dice: 0.6538, decode.d3.loss_cls: 0.1803, decode.d3.loss_mask: 0.4339, decode.d3.loss_dice: 0.6410, decode.d4.loss_cls: 0.1741, decode.d4.loss_mask: 0.4368, decode.d4.loss_dice: 0.6412, decode.d5.loss_cls: 0.1690, decode.d5.loss_mask: 0.4377, decode.d5.loss_dice: 0.6429, decode.d6.loss_cls: 0.1657, decode.d6.loss_mask: 0.4364, decode.d6.loss_dice: 0.6364, decode.d7.loss_cls: 0.1599, decode.d7.loss_mask: 0.4359, decode.d7.loss_dice: 0.6394, decode.d8.loss_cls: 0.1641, decode.d8.loss_mask: 0.4353, decode.d8.loss_dice: 0.6355, loss: 13.7384, grad_norm: 66.0075 2023-11-22 20:08:01,717 - mmseg - INFO - Iter [140550/160000] lr: 1.158e-06, eta: 3:09:56, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1669, decode.loss_mask: 0.4263, decode.loss_dice: 0.6485, decode.d0.loss_cls: 1.2925, decode.d0.loss_mask: 0.4616, decode.d0.loss_dice: 0.7263, decode.d1.loss_cls: 0.2544, decode.d1.loss_mask: 0.4448, decode.d1.loss_dice: 0.6848, decode.d2.loss_cls: 0.2067, decode.d2.loss_mask: 0.4377, decode.d2.loss_dice: 0.6684, decode.d3.loss_cls: 0.1906, decode.d3.loss_mask: 0.4312, decode.d3.loss_dice: 0.6567, decode.d4.loss_cls: 0.1764, decode.d4.loss_mask: 0.4315, decode.d4.loss_dice: 0.6541, decode.d5.loss_cls: 0.1750, decode.d5.loss_mask: 0.4296, decode.d5.loss_dice: 0.6525, decode.d6.loss_cls: 0.1669, decode.d6.loss_mask: 0.4303, decode.d6.loss_dice: 0.6523, decode.d7.loss_cls: 0.1688, decode.d7.loss_mask: 0.4289, decode.d7.loss_dice: 0.6516, decode.d8.loss_cls: 0.1682, decode.d8.loss_mask: 0.4277, decode.d8.loss_dice: 0.6491, loss: 13.9603, grad_norm: 66.4895 2023-11-22 20:08:30,216 - mmseg - INFO - Iter [140600/160000] lr: 1.155e-06, eta: 3:09:27, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1596, decode.loss_mask: 0.4387, decode.loss_dice: 0.6592, decode.d0.loss_cls: 1.2330, decode.d0.loss_mask: 0.4718, decode.d0.loss_dice: 0.7238, decode.d1.loss_cls: 0.2360, decode.d1.loss_mask: 0.4518, decode.d1.loss_dice: 0.6899, decode.d2.loss_cls: 0.1904, decode.d2.loss_mask: 0.4460, decode.d2.loss_dice: 0.6772, decode.d3.loss_cls: 0.1741, decode.d3.loss_mask: 0.4457, decode.d3.loss_dice: 0.6667, decode.d4.loss_cls: 0.1684, decode.d4.loss_mask: 0.4450, decode.d4.loss_dice: 0.6682, decode.d5.loss_cls: 0.1660, decode.d5.loss_mask: 0.4418, decode.d5.loss_dice: 0.6651, decode.d6.loss_cls: 0.1636, decode.d6.loss_mask: 0.4391, decode.d6.loss_dice: 0.6579, decode.d7.loss_cls: 0.1554, decode.d7.loss_mask: 0.4408, decode.d7.loss_dice: 0.6637, decode.d8.loss_cls: 0.1558, decode.d8.loss_mask: 0.4398, decode.d8.loss_dice: 0.6622, loss: 13.9968, grad_norm: 65.9643 2023-11-22 20:08:58,672 - mmseg - INFO - Iter [140650/160000] lr: 1.152e-06, eta: 3:08:57, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1572, decode.loss_mask: 0.4390, decode.loss_dice: 0.6651, decode.d0.loss_cls: 1.2206, decode.d0.loss_mask: 0.4711, decode.d0.loss_dice: 0.7285, decode.d1.loss_cls: 0.2374, decode.d1.loss_mask: 0.4557, decode.d1.loss_dice: 0.6953, decode.d2.loss_cls: 0.1894, decode.d2.loss_mask: 0.4466, decode.d2.loss_dice: 0.6801, decode.d3.loss_cls: 0.1758, decode.d3.loss_mask: 0.4405, decode.d3.loss_dice: 0.6666, decode.d4.loss_cls: 0.1680, decode.d4.loss_mask: 0.4409, decode.d4.loss_dice: 0.6676, decode.d5.loss_cls: 0.1627, decode.d5.loss_mask: 0.4409, decode.d5.loss_dice: 0.6630, decode.d6.loss_cls: 0.1625, decode.d6.loss_mask: 0.4395, decode.d6.loss_dice: 0.6646, decode.d7.loss_cls: 0.1621, decode.d7.loss_mask: 0.4386, decode.d7.loss_dice: 0.6611, decode.d8.loss_cls: 0.1554, decode.d8.loss_mask: 0.4386, decode.d8.loss_dice: 0.6620, loss: 13.9962, grad_norm: 65.2768 2023-11-22 20:09:26,960 - mmseg - INFO - Iter [140700/160000] lr: 1.149e-06, eta: 3:08:28, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1645, decode.loss_mask: 0.4436, decode.loss_dice: 0.6521, decode.d0.loss_cls: 1.2294, decode.d0.loss_mask: 0.4797, decode.d0.loss_dice: 0.7240, decode.d1.loss_cls: 0.2319, decode.d1.loss_mask: 0.4620, decode.d1.loss_dice: 0.6907, decode.d2.loss_cls: 0.1834, decode.d2.loss_mask: 0.4543, decode.d2.loss_dice: 0.6726, decode.d3.loss_cls: 0.1764, decode.d3.loss_mask: 0.4491, decode.d3.loss_dice: 0.6595, decode.d4.loss_cls: 0.1726, decode.d4.loss_mask: 0.4462, decode.d4.loss_dice: 0.6569, decode.d5.loss_cls: 0.1702, decode.d5.loss_mask: 0.4454, decode.d5.loss_dice: 0.6589, decode.d6.loss_cls: 0.1675, decode.d6.loss_mask: 0.4445, decode.d6.loss_dice: 0.6515, decode.d7.loss_cls: 0.1664, decode.d7.loss_mask: 0.4446, decode.d7.loss_dice: 0.6552, decode.d8.loss_cls: 0.1662, decode.d8.loss_mask: 0.4437, decode.d8.loss_dice: 0.6510, loss: 14.0140, grad_norm: 68.9993 2023-11-22 20:09:55,542 - mmseg - INFO - Iter [140750/160000] lr: 1.146e-06, eta: 3:07:58, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1553, decode.loss_mask: 0.4309, decode.loss_dice: 0.6666, decode.d0.loss_cls: 1.2647, decode.d0.loss_mask: 0.4665, decode.d0.loss_dice: 0.7302, decode.d1.loss_cls: 0.2370, decode.d1.loss_mask: 0.4480, decode.d1.loss_dice: 0.6925, decode.d2.loss_cls: 0.1864, decode.d2.loss_mask: 0.4370, decode.d2.loss_dice: 0.6784, decode.d3.loss_cls: 0.1763, decode.d3.loss_mask: 0.4325, decode.d3.loss_dice: 0.6692, decode.d4.loss_cls: 0.1721, decode.d4.loss_mask: 0.4313, decode.d4.loss_dice: 0.6672, decode.d5.loss_cls: 0.1615, decode.d5.loss_mask: 0.4309, decode.d5.loss_dice: 0.6686, decode.d6.loss_cls: 0.1574, decode.d6.loss_mask: 0.4305, decode.d6.loss_dice: 0.6681, decode.d7.loss_cls: 0.1574, decode.d7.loss_mask: 0.4303, decode.d7.loss_dice: 0.6619, decode.d8.loss_cls: 0.1535, decode.d8.loss_mask: 0.4295, decode.d8.loss_dice: 0.6646, loss: 13.9562, grad_norm: 63.5853 2023-11-22 20:10:23,831 - mmseg - INFO - Iter [140800/160000] lr: 1.143e-06, eta: 3:07:29, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1565, decode.loss_mask: 0.4302, decode.loss_dice: 0.6503, decode.d0.loss_cls: 1.2099, decode.d0.loss_mask: 0.4649, decode.d0.loss_dice: 0.7210, decode.d1.loss_cls: 0.2314, decode.d1.loss_mask: 0.4466, decode.d1.loss_dice: 0.6813, decode.d2.loss_cls: 0.1885, decode.d2.loss_mask: 0.4387, decode.d2.loss_dice: 0.6722, decode.d3.loss_cls: 0.1707, decode.d3.loss_mask: 0.4349, decode.d3.loss_dice: 0.6611, decode.d4.loss_cls: 0.1641, decode.d4.loss_mask: 0.4322, decode.d4.loss_dice: 0.6572, decode.d5.loss_cls: 0.1622, decode.d5.loss_mask: 0.4319, decode.d5.loss_dice: 0.6576, decode.d6.loss_cls: 0.1641, decode.d6.loss_mask: 0.4315, decode.d6.loss_dice: 0.6545, decode.d7.loss_cls: 0.1564, decode.d7.loss_mask: 0.4307, decode.d7.loss_dice: 0.6554, decode.d8.loss_cls: 0.1539, decode.d8.loss_mask: 0.4316, decode.d8.loss_dice: 0.6581, loss: 13.7997, grad_norm: 59.3351 2023-11-22 20:10:52,195 - mmseg - INFO - Iter [140850/160000] lr: 1.140e-06, eta: 3:06:59, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1633, decode.loss_mask: 0.4338, decode.loss_dice: 0.6506, decode.d0.loss_cls: 1.2543, decode.d0.loss_mask: 0.4693, decode.d0.loss_dice: 0.7228, decode.d1.loss_cls: 0.2420, decode.d1.loss_mask: 0.4500, decode.d1.loss_dice: 0.6853, decode.d2.loss_cls: 0.1990, decode.d2.loss_mask: 0.4417, decode.d2.loss_dice: 0.6636, decode.d3.loss_cls: 0.1778, decode.d3.loss_mask: 0.4387, decode.d3.loss_dice: 0.6543, decode.d4.loss_cls: 0.1720, decode.d4.loss_mask: 0.4382, decode.d4.loss_dice: 0.6542, decode.d5.loss_cls: 0.1691, decode.d5.loss_mask: 0.4346, decode.d5.loss_dice: 0.6517, decode.d6.loss_cls: 0.1646, decode.d6.loss_mask: 0.4348, decode.d6.loss_dice: 0.6522, decode.d7.loss_cls: 0.1649, decode.d7.loss_mask: 0.4337, decode.d7.loss_dice: 0.6505, decode.d8.loss_cls: 0.1620, decode.d8.loss_mask: 0.4330, decode.d8.loss_dice: 0.6501, loss: 13.9120, grad_norm: 64.1877 2023-11-22 20:11:20,476 - mmseg - INFO - Iter [140900/160000] lr: 1.137e-06, eta: 3:06:30, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1819, decode.loss_mask: 0.4575, decode.loss_dice: 0.6929, decode.d0.loss_cls: 1.3099, decode.d0.loss_mask: 0.4987, decode.d0.loss_dice: 0.7706, decode.d1.loss_cls: 0.2644, decode.d1.loss_mask: 0.4759, decode.d1.loss_dice: 0.7319, decode.d2.loss_cls: 0.2164, decode.d2.loss_mask: 0.4673, decode.d2.loss_dice: 0.7115, decode.d3.loss_cls: 0.2025, decode.d3.loss_mask: 0.4629, decode.d3.loss_dice: 0.6972, decode.d4.loss_cls: 0.1939, decode.d4.loss_mask: 0.4623, decode.d4.loss_dice: 0.6972, decode.d5.loss_cls: 0.1905, decode.d5.loss_mask: 0.4614, decode.d5.loss_dice: 0.6939, decode.d6.loss_cls: 0.1884, decode.d6.loss_mask: 0.4582, decode.d6.loss_dice: 0.6927, decode.d7.loss_cls: 0.1869, decode.d7.loss_mask: 0.4559, decode.d7.loss_dice: 0.6903, decode.d8.loss_cls: 0.1858, decode.d8.loss_mask: 0.4554, decode.d8.loss_dice: 0.6914, loss: 14.8455, grad_norm: 69.9092 2023-11-22 20:11:48,940 - mmseg - INFO - Iter [140950/160000] lr: 1.134e-06, eta: 3:06:01, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1674, decode.loss_mask: 0.4278, decode.loss_dice: 0.6747, decode.d0.loss_cls: 1.2651, decode.d0.loss_mask: 0.4618, decode.d0.loss_dice: 0.7469, decode.d1.loss_cls: 0.2435, decode.d1.loss_mask: 0.4453, decode.d1.loss_dice: 0.7122, decode.d2.loss_cls: 0.2013, decode.d2.loss_mask: 0.4359, decode.d2.loss_dice: 0.6936, decode.d3.loss_cls: 0.1867, decode.d3.loss_mask: 0.4288, decode.d3.loss_dice: 0.6802, decode.d4.loss_cls: 0.1815, decode.d4.loss_mask: 0.4276, decode.d4.loss_dice: 0.6807, decode.d5.loss_cls: 0.1746, decode.d5.loss_mask: 0.4283, decode.d5.loss_dice: 0.6813, decode.d6.loss_cls: 0.1694, decode.d6.loss_mask: 0.4294, decode.d6.loss_dice: 0.6796, decode.d7.loss_cls: 0.1657, decode.d7.loss_mask: 0.4296, decode.d7.loss_dice: 0.6761, decode.d8.loss_cls: 0.1659, decode.d8.loss_mask: 0.4298, decode.d8.loss_dice: 0.6745, loss: 14.1652, grad_norm: 75.0263 2023-11-22 20:12:17,046 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 20:12:17,047 - mmseg - INFO - Iter [141000/160000] lr: 1.131e-06, eta: 3:05:31, time: 0.562, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1502, decode.loss_mask: 0.4454, decode.loss_dice: 0.6572, decode.d0.loss_cls: 1.2316, decode.d0.loss_mask: 0.4784, decode.d0.loss_dice: 0.7288, decode.d1.loss_cls: 0.2343, decode.d1.loss_mask: 0.4621, decode.d1.loss_dice: 0.6926, decode.d2.loss_cls: 0.1924, decode.d2.loss_mask: 0.4543, decode.d2.loss_dice: 0.6778, decode.d3.loss_cls: 0.1767, decode.d3.loss_mask: 0.4468, decode.d3.loss_dice: 0.6594, decode.d4.loss_cls: 0.1714, decode.d4.loss_mask: 0.4459, decode.d4.loss_dice: 0.6607, decode.d5.loss_cls: 0.1598, decode.d5.loss_mask: 0.4461, decode.d5.loss_dice: 0.6616, decode.d6.loss_cls: 0.1562, decode.d6.loss_mask: 0.4463, decode.d6.loss_dice: 0.6574, decode.d7.loss_cls: 0.1539, decode.d7.loss_mask: 0.4458, decode.d7.loss_dice: 0.6580, decode.d8.loss_cls: 0.1566, decode.d8.loss_mask: 0.4453, decode.d8.loss_dice: 0.6612, loss: 14.0141, grad_norm: 68.2224 2023-11-22 20:12:45,301 - mmseg - INFO - Iter [141050/160000] lr: 1.128e-06, eta: 3:05:02, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1670, decode.loss_mask: 0.4174, decode.loss_dice: 0.6355, decode.d0.loss_cls: 1.2305, decode.d0.loss_mask: 0.4481, decode.d0.loss_dice: 0.7070, decode.d1.loss_cls: 0.2421, decode.d1.loss_mask: 0.4324, decode.d1.loss_dice: 0.6748, decode.d2.loss_cls: 0.1980, decode.d2.loss_mask: 0.4235, decode.d2.loss_dice: 0.6537, decode.d3.loss_cls: 0.1812, decode.d3.loss_mask: 0.4184, decode.d3.loss_dice: 0.6413, decode.d4.loss_cls: 0.1774, decode.d4.loss_mask: 0.4196, decode.d4.loss_dice: 0.6416, decode.d5.loss_cls: 0.1687, decode.d5.loss_mask: 0.4184, decode.d5.loss_dice: 0.6403, decode.d6.loss_cls: 0.1710, decode.d6.loss_mask: 0.4181, decode.d6.loss_dice: 0.6348, decode.d7.loss_cls: 0.1648, decode.d7.loss_mask: 0.4173, decode.d7.loss_dice: 0.6404, decode.d8.loss_cls: 0.1659, decode.d8.loss_mask: 0.4175, decode.d8.loss_dice: 0.6374, loss: 13.6041, grad_norm: 61.4287 2023-11-22 20:13:13,551 - mmseg - INFO - Iter [141100/160000] lr: 1.125e-06, eta: 3:04:32, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1707, decode.loss_mask: 0.4290, decode.loss_dice: 0.6691, decode.d0.loss_cls: 1.2701, decode.d0.loss_mask: 0.4621, decode.d0.loss_dice: 0.7405, decode.d1.loss_cls: 0.2517, decode.d1.loss_mask: 0.4476, decode.d1.loss_dice: 0.7049, decode.d2.loss_cls: 0.2088, decode.d2.loss_mask: 0.4386, decode.d2.loss_dice: 0.6852, decode.d3.loss_cls: 0.1960, decode.d3.loss_mask: 0.4328, decode.d3.loss_dice: 0.6715, decode.d4.loss_cls: 0.1845, decode.d4.loss_mask: 0.4336, decode.d4.loss_dice: 0.6728, decode.d5.loss_cls: 0.1828, decode.d5.loss_mask: 0.4314, decode.d5.loss_dice: 0.6689, decode.d6.loss_cls: 0.1768, decode.d6.loss_mask: 0.4308, decode.d6.loss_dice: 0.6688, decode.d7.loss_cls: 0.1786, decode.d7.loss_mask: 0.4286, decode.d7.loss_dice: 0.6683, decode.d8.loss_cls: 0.1734, decode.d8.loss_mask: 0.4294, decode.d8.loss_dice: 0.6699, loss: 14.1773, grad_norm: 65.2469 2023-11-22 20:13:41,705 - mmseg - INFO - Iter [141150/160000] lr: 1.122e-06, eta: 3:04:03, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1470, decode.loss_mask: 0.4455, decode.loss_dice: 0.6610, decode.d0.loss_cls: 1.2279, decode.d0.loss_mask: 0.4821, decode.d0.loss_dice: 0.7288, decode.d1.loss_cls: 0.2265, decode.d1.loss_mask: 0.4630, decode.d1.loss_dice: 0.6919, decode.d2.loss_cls: 0.1816, decode.d2.loss_mask: 0.4516, decode.d2.loss_dice: 0.6764, decode.d3.loss_cls: 0.1669, decode.d3.loss_mask: 0.4485, decode.d3.loss_dice: 0.6634, decode.d4.loss_cls: 0.1581, decode.d4.loss_mask: 0.4483, decode.d4.loss_dice: 0.6674, decode.d5.loss_cls: 0.1546, decode.d5.loss_mask: 0.4482, decode.d5.loss_dice: 0.6651, decode.d6.loss_cls: 0.1522, decode.d6.loss_mask: 0.4472, decode.d6.loss_dice: 0.6628, decode.d7.loss_cls: 0.1481, decode.d7.loss_mask: 0.4462, decode.d7.loss_dice: 0.6598, decode.d8.loss_cls: 0.1484, decode.d8.loss_mask: 0.4453, decode.d8.loss_dice: 0.6643, loss: 13.9783, grad_norm: 65.2291 2023-11-22 20:14:09,916 - mmseg - INFO - Iter [141200/160000] lr: 1.119e-06, eta: 3:03:33, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1448, decode.loss_mask: 0.4438, decode.loss_dice: 0.6554, decode.d0.loss_cls: 1.2376, decode.d0.loss_mask: 0.4785, decode.d0.loss_dice: 0.7242, decode.d1.loss_cls: 0.2146, decode.d1.loss_mask: 0.4614, decode.d1.loss_dice: 0.6903, decode.d2.loss_cls: 0.1744, decode.d2.loss_mask: 0.4507, decode.d2.loss_dice: 0.6714, decode.d3.loss_cls: 0.1644, decode.d3.loss_mask: 0.4465, decode.d3.loss_dice: 0.6584, decode.d4.loss_cls: 0.1575, decode.d4.loss_mask: 0.4464, decode.d4.loss_dice: 0.6579, decode.d5.loss_cls: 0.1536, decode.d5.loss_mask: 0.4461, decode.d5.loss_dice: 0.6581, decode.d6.loss_cls: 0.1527, decode.d6.loss_mask: 0.4433, decode.d6.loss_dice: 0.6508, decode.d7.loss_cls: 0.1527, decode.d7.loss_mask: 0.4441, decode.d7.loss_dice: 0.6553, decode.d8.loss_cls: 0.1522, decode.d8.loss_mask: 0.4432, decode.d8.loss_dice: 0.6529, loss: 13.8835, grad_norm: 66.5070 2023-11-22 20:14:38,218 - mmseg - INFO - Iter [141250/160000] lr: 1.116e-06, eta: 3:03:04, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1728, decode.loss_mask: 0.4319, decode.loss_dice: 0.6756, decode.d0.loss_cls: 1.2400, decode.d0.loss_mask: 0.4637, decode.d0.loss_dice: 0.7453, decode.d1.loss_cls: 0.2486, decode.d1.loss_mask: 0.4503, decode.d1.loss_dice: 0.7070, decode.d2.loss_cls: 0.2065, decode.d2.loss_mask: 0.4398, decode.d2.loss_dice: 0.6921, decode.d3.loss_cls: 0.1881, decode.d3.loss_mask: 0.4349, decode.d3.loss_dice: 0.6840, decode.d4.loss_cls: 0.1813, decode.d4.loss_mask: 0.4336, decode.d4.loss_dice: 0.6794, decode.d5.loss_cls: 0.1776, decode.d5.loss_mask: 0.4344, decode.d5.loss_dice: 0.6792, decode.d6.loss_cls: 0.1714, decode.d6.loss_mask: 0.4348, decode.d6.loss_dice: 0.6797, decode.d7.loss_cls: 0.1715, decode.d7.loss_mask: 0.4330, decode.d7.loss_dice: 0.6799, decode.d8.loss_cls: 0.1704, decode.d8.loss_mask: 0.4322, decode.d8.loss_dice: 0.6770, loss: 14.2159, grad_norm: 67.1678 2023-11-22 20:15:06,415 - mmseg - INFO - Iter [141300/160000] lr: 1.113e-06, eta: 3:02:35, time: 0.564, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1589, decode.loss_mask: 0.4423, decode.loss_dice: 0.6730, decode.d0.loss_cls: 1.2327, decode.d0.loss_mask: 0.4769, decode.d0.loss_dice: 0.7393, decode.d1.loss_cls: 0.2348, decode.d1.loss_mask: 0.4593, decode.d1.loss_dice: 0.7066, decode.d2.loss_cls: 0.1865, decode.d2.loss_mask: 0.4507, decode.d2.loss_dice: 0.6928, decode.d3.loss_cls: 0.1785, decode.d3.loss_mask: 0.4452, decode.d3.loss_dice: 0.6786, decode.d4.loss_cls: 0.1694, decode.d4.loss_mask: 0.4442, decode.d4.loss_dice: 0.6760, decode.d5.loss_cls: 0.1675, decode.d5.loss_mask: 0.4452, decode.d5.loss_dice: 0.6734, decode.d6.loss_cls: 0.1634, decode.d6.loss_mask: 0.4428, decode.d6.loss_dice: 0.6720, decode.d7.loss_cls: 0.1620, decode.d7.loss_mask: 0.4434, decode.d7.loss_dice: 0.6728, decode.d8.loss_cls: 0.1576, decode.d8.loss_mask: 0.4422, decode.d8.loss_dice: 0.6752, loss: 14.1631, grad_norm: 61.9356 2023-11-22 20:15:34,687 - mmseg - INFO - Iter [141350/160000] lr: 1.110e-06, eta: 3:02:05, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1653, decode.loss_mask: 0.4278, decode.loss_dice: 0.6402, decode.d0.loss_cls: 1.2424, decode.d0.loss_mask: 0.4540, decode.d0.loss_dice: 0.7139, decode.d1.loss_cls: 0.2294, decode.d1.loss_mask: 0.4423, decode.d1.loss_dice: 0.6739, decode.d2.loss_cls: 0.1994, decode.d2.loss_mask: 0.4339, decode.d2.loss_dice: 0.6559, decode.d3.loss_cls: 0.1807, decode.d3.loss_mask: 0.4300, decode.d3.loss_dice: 0.6449, decode.d4.loss_cls: 0.1726, decode.d4.loss_mask: 0.4291, decode.d4.loss_dice: 0.6462, decode.d5.loss_cls: 0.1733, decode.d5.loss_mask: 0.4289, decode.d5.loss_dice: 0.6409, decode.d6.loss_cls: 0.1682, decode.d6.loss_mask: 0.4277, decode.d6.loss_dice: 0.6412, decode.d7.loss_cls: 0.1655, decode.d7.loss_mask: 0.4275, decode.d7.loss_dice: 0.6421, decode.d8.loss_cls: 0.1677, decode.d8.loss_mask: 0.4282, decode.d8.loss_dice: 0.6441, loss: 13.7370, grad_norm: 64.6402 2023-11-22 20:16:02,915 - mmseg - INFO - Iter [141400/160000] lr: 1.107e-06, eta: 3:01:36, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1672, decode.loss_mask: 0.4160, decode.loss_dice: 0.6444, decode.d0.loss_cls: 1.2619, decode.d0.loss_mask: 0.4472, decode.d0.loss_dice: 0.7135, decode.d1.loss_cls: 0.2446, decode.d1.loss_mask: 0.4339, decode.d1.loss_dice: 0.6771, decode.d2.loss_cls: 0.2040, decode.d2.loss_mask: 0.4265, decode.d2.loss_dice: 0.6612, decode.d3.loss_cls: 0.1880, decode.d3.loss_mask: 0.4193, decode.d3.loss_dice: 0.6487, decode.d4.loss_cls: 0.1769, decode.d4.loss_mask: 0.4180, decode.d4.loss_dice: 0.6503, decode.d5.loss_cls: 0.1748, decode.d5.loss_mask: 0.4178, decode.d5.loss_dice: 0.6520, decode.d6.loss_cls: 0.1689, decode.d6.loss_mask: 0.4177, decode.d6.loss_dice: 0.6479, decode.d7.loss_cls: 0.1679, decode.d7.loss_mask: 0.4169, decode.d7.loss_dice: 0.6459, decode.d8.loss_cls: 0.1646, decode.d8.loss_mask: 0.4154, decode.d8.loss_dice: 0.6447, loss: 13.7333, grad_norm: 70.1116 2023-11-22 20:16:31,395 - mmseg - INFO - Iter [141450/160000] lr: 1.104e-06, eta: 3:01:06, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1546, decode.loss_mask: 0.4203, decode.loss_dice: 0.6532, decode.d0.loss_cls: 1.2641, decode.d0.loss_mask: 0.4498, decode.d0.loss_dice: 0.7179, decode.d1.loss_cls: 0.2264, decode.d1.loss_mask: 0.4342, decode.d1.loss_dice: 0.6858, decode.d2.loss_cls: 0.1822, decode.d2.loss_mask: 0.4241, decode.d2.loss_dice: 0.6660, decode.d3.loss_cls: 0.1665, decode.d3.loss_mask: 0.4206, decode.d3.loss_dice: 0.6560, decode.d4.loss_cls: 0.1629, decode.d4.loss_mask: 0.4205, decode.d4.loss_dice: 0.6572, decode.d5.loss_cls: 0.1602, decode.d5.loss_mask: 0.4209, decode.d5.loss_dice: 0.6528, decode.d6.loss_cls: 0.1562, decode.d6.loss_mask: 0.4205, decode.d6.loss_dice: 0.6514, decode.d7.loss_cls: 0.1518, decode.d7.loss_mask: 0.4206, decode.d7.loss_dice: 0.6487, decode.d8.loss_cls: 0.1523, decode.d8.loss_mask: 0.4201, decode.d8.loss_dice: 0.6512, loss: 13.6689, grad_norm: 61.9967 2023-11-22 20:17:02,139 - mmseg - INFO - Iter [141500/160000] lr: 1.101e-06, eta: 3:00:37, time: 0.615, data_time: 0.059, memory: 38143, decode.loss_cls: 0.1704, decode.loss_mask: 0.4327, decode.loss_dice: 0.6476, decode.d0.loss_cls: 1.2722, decode.d0.loss_mask: 0.4667, decode.d0.loss_dice: 0.7210, decode.d1.loss_cls: 0.2476, decode.d1.loss_mask: 0.4490, decode.d1.loss_dice: 0.6804, decode.d2.loss_cls: 0.2002, decode.d2.loss_mask: 0.4412, decode.d2.loss_dice: 0.6631, decode.d3.loss_cls: 0.1880, decode.d3.loss_mask: 0.4379, decode.d3.loss_dice: 0.6596, decode.d4.loss_cls: 0.1831, decode.d4.loss_mask: 0.4354, decode.d4.loss_dice: 0.6537, decode.d5.loss_cls: 0.1757, decode.d5.loss_mask: 0.4347, decode.d5.loss_dice: 0.6524, decode.d6.loss_cls: 0.1736, decode.d6.loss_mask: 0.4333, decode.d6.loss_dice: 0.6525, decode.d7.loss_cls: 0.1722, decode.d7.loss_mask: 0.4335, decode.d7.loss_dice: 0.6468, decode.d8.loss_cls: 0.1706, decode.d8.loss_mask: 0.4341, decode.d8.loss_dice: 0.6515, loss: 13.9805, grad_norm: 72.9057 2023-11-22 20:17:30,509 - mmseg - INFO - Iter [141550/160000] lr: 1.098e-06, eta: 3:00:08, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1721, decode.loss_mask: 0.4416, decode.loss_dice: 0.6611, decode.d0.loss_cls: 1.2653, decode.d0.loss_mask: 0.4703, decode.d0.loss_dice: 0.7220, decode.d1.loss_cls: 0.2409, decode.d1.loss_mask: 0.4568, decode.d1.loss_dice: 0.6877, decode.d2.loss_cls: 0.2028, decode.d2.loss_mask: 0.4515, decode.d2.loss_dice: 0.6780, decode.d3.loss_cls: 0.1883, decode.d3.loss_mask: 0.4430, decode.d3.loss_dice: 0.6621, decode.d4.loss_cls: 0.1826, decode.d4.loss_mask: 0.4426, decode.d4.loss_dice: 0.6601, decode.d5.loss_cls: 0.1844, decode.d5.loss_mask: 0.4428, decode.d5.loss_dice: 0.6580, decode.d6.loss_cls: 0.1765, decode.d6.loss_mask: 0.4420, decode.d6.loss_dice: 0.6561, decode.d7.loss_cls: 0.1727, decode.d7.loss_mask: 0.4422, decode.d7.loss_dice: 0.6601, decode.d8.loss_cls: 0.1683, decode.d8.loss_mask: 0.4417, decode.d8.loss_dice: 0.6622, loss: 14.1357, grad_norm: 68.5398 2023-11-22 20:17:58,654 - mmseg - INFO - Iter [141600/160000] lr: 1.095e-06, eta: 2:59:38, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1602, decode.loss_mask: 0.4426, decode.loss_dice: 0.6598, decode.d0.loss_cls: 1.2414, decode.d0.loss_mask: 0.4717, decode.d0.loss_dice: 0.7212, decode.d1.loss_cls: 0.2389, decode.d1.loss_mask: 0.4577, decode.d1.loss_dice: 0.6874, decode.d2.loss_cls: 0.1984, decode.d2.loss_mask: 0.4489, decode.d2.loss_dice: 0.6761, decode.d3.loss_cls: 0.1800, decode.d3.loss_mask: 0.4440, decode.d3.loss_dice: 0.6665, decode.d4.loss_cls: 0.1748, decode.d4.loss_mask: 0.4440, decode.d4.loss_dice: 0.6603, decode.d5.loss_cls: 0.1685, decode.d5.loss_mask: 0.4444, decode.d5.loss_dice: 0.6641, decode.d6.loss_cls: 0.1660, decode.d6.loss_mask: 0.4433, decode.d6.loss_dice: 0.6594, decode.d7.loss_cls: 0.1626, decode.d7.loss_mask: 0.4438, decode.d7.loss_dice: 0.6612, decode.d8.loss_cls: 0.1607, decode.d8.loss_mask: 0.4425, decode.d8.loss_dice: 0.6605, loss: 14.0508, grad_norm: 64.7382 2023-11-22 20:18:26,882 - mmseg - INFO - Iter [141650/160000] lr: 1.092e-06, eta: 2:59:09, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1624, decode.loss_mask: 0.4366, decode.loss_dice: 0.6422, decode.d0.loss_cls: 1.2476, decode.d0.loss_mask: 0.4713, decode.d0.loss_dice: 0.7121, decode.d1.loss_cls: 0.2376, decode.d1.loss_mask: 0.4543, decode.d1.loss_dice: 0.6794, decode.d2.loss_cls: 0.1955, decode.d2.loss_mask: 0.4449, decode.d2.loss_dice: 0.6580, decode.d3.loss_cls: 0.1808, decode.d3.loss_mask: 0.4400, decode.d3.loss_dice: 0.6496, decode.d4.loss_cls: 0.1732, decode.d4.loss_mask: 0.4393, decode.d4.loss_dice: 0.6441, decode.d5.loss_cls: 0.1668, decode.d5.loss_mask: 0.4393, decode.d5.loss_dice: 0.6489, decode.d6.loss_cls: 0.1675, decode.d6.loss_mask: 0.4392, decode.d6.loss_dice: 0.6441, decode.d7.loss_cls: 0.1653, decode.d7.loss_mask: 0.4380, decode.d7.loss_dice: 0.6403, decode.d8.loss_cls: 0.1680, decode.d8.loss_mask: 0.4369, decode.d8.loss_dice: 0.6445, loss: 13.8678, grad_norm: 68.7137 2023-11-22 20:18:55,158 - mmseg - INFO - Iter [141700/160000] lr: 1.089e-06, eta: 2:58:40, time: 0.566, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1513, decode.loss_mask: 0.4497, decode.loss_dice: 0.6741, decode.d0.loss_cls: 1.2600, decode.d0.loss_mask: 0.4824, decode.d0.loss_dice: 0.7433, decode.d1.loss_cls: 0.2336, decode.d1.loss_mask: 0.4654, decode.d1.loss_dice: 0.7053, decode.d2.loss_cls: 0.1860, decode.d2.loss_mask: 0.4564, decode.d2.loss_dice: 0.6894, decode.d3.loss_cls: 0.1715, decode.d3.loss_mask: 0.4517, decode.d3.loss_dice: 0.6759, decode.d4.loss_cls: 0.1639, decode.d4.loss_mask: 0.4523, decode.d4.loss_dice: 0.6804, decode.d5.loss_cls: 0.1587, decode.d5.loss_mask: 0.4513, decode.d5.loss_dice: 0.6713, decode.d6.loss_cls: 0.1583, decode.d6.loss_mask: 0.4515, decode.d6.loss_dice: 0.6744, decode.d7.loss_cls: 0.1584, decode.d7.loss_mask: 0.4500, decode.d7.loss_dice: 0.6731, decode.d8.loss_cls: 0.1558, decode.d8.loss_mask: 0.4504, decode.d8.loss_dice: 0.6746, loss: 14.2203, grad_norm: 63.2505 2023-11-22 20:19:23,538 - mmseg - INFO - Iter [141750/160000] lr: 1.086e-06, eta: 2:58:10, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1519, decode.loss_mask: 0.4223, decode.loss_dice: 0.6340, decode.d0.loss_cls: 1.2464, decode.d0.loss_mask: 0.4524, decode.d0.loss_dice: 0.7068, decode.d1.loss_cls: 0.2296, decode.d1.loss_mask: 0.4359, decode.d1.loss_dice: 0.6665, decode.d2.loss_cls: 0.1898, decode.d2.loss_mask: 0.4270, decode.d2.loss_dice: 0.6499, decode.d3.loss_cls: 0.1704, decode.d3.loss_mask: 0.4240, decode.d3.loss_dice: 0.6442, decode.d4.loss_cls: 0.1661, decode.d4.loss_mask: 0.4249, decode.d4.loss_dice: 0.6450, decode.d5.loss_cls: 0.1586, decode.d5.loss_mask: 0.4240, decode.d5.loss_dice: 0.6391, decode.d6.loss_cls: 0.1526, decode.d6.loss_mask: 0.4236, decode.d6.loss_dice: 0.6416, decode.d7.loss_cls: 0.1504, decode.d7.loss_mask: 0.4219, decode.d7.loss_dice: 0.6375, decode.d8.loss_cls: 0.1518, decode.d8.loss_mask: 0.4220, decode.d8.loss_dice: 0.6368, loss: 13.5470, grad_norm: 64.4931 2023-11-22 20:19:52,063 - mmseg - INFO - Iter [141800/160000] lr: 1.084e-06, eta: 2:57:41, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1743, decode.loss_mask: 0.4437, decode.loss_dice: 0.6677, decode.d0.loss_cls: 1.2707, decode.d0.loss_mask: 0.4805, decode.d0.loss_dice: 0.7511, decode.d1.loss_cls: 0.2502, decode.d1.loss_mask: 0.4587, decode.d1.loss_dice: 0.7063, decode.d2.loss_cls: 0.2066, decode.d2.loss_mask: 0.4521, decode.d2.loss_dice: 0.6861, decode.d3.loss_cls: 0.1950, decode.d3.loss_mask: 0.4475, decode.d3.loss_dice: 0.6787, decode.d4.loss_cls: 0.1859, decode.d4.loss_mask: 0.4482, decode.d4.loss_dice: 0.6722, decode.d5.loss_cls: 0.1812, decode.d5.loss_mask: 0.4472, decode.d5.loss_dice: 0.6748, decode.d6.loss_cls: 0.1783, decode.d6.loss_mask: 0.4476, decode.d6.loss_dice: 0.6705, decode.d7.loss_cls: 0.1798, decode.d7.loss_mask: 0.4445, decode.d7.loss_dice: 0.6707, decode.d8.loss_cls: 0.1765, decode.d8.loss_mask: 0.4441, decode.d8.loss_dice: 0.6687, loss: 14.3594, grad_norm: 69.1242 2023-11-22 20:20:20,236 - mmseg - INFO - Iter [141850/160000] lr: 1.081e-06, eta: 2:57:11, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1577, decode.loss_mask: 0.4343, decode.loss_dice: 0.6523, decode.d0.loss_cls: 1.2208, decode.d0.loss_mask: 0.4621, decode.d0.loss_dice: 0.7205, decode.d1.loss_cls: 0.2321, decode.d1.loss_mask: 0.4489, decode.d1.loss_dice: 0.6868, decode.d2.loss_cls: 0.1910, decode.d2.loss_mask: 0.4403, decode.d2.loss_dice: 0.6718, decode.d3.loss_cls: 0.1789, decode.d3.loss_mask: 0.4366, decode.d3.loss_dice: 0.6585, decode.d4.loss_cls: 0.1779, decode.d4.loss_mask: 0.4355, decode.d4.loss_dice: 0.6572, decode.d5.loss_cls: 0.1657, decode.d5.loss_mask: 0.4349, decode.d5.loss_dice: 0.6588, decode.d6.loss_cls: 0.1685, decode.d6.loss_mask: 0.4350, decode.d6.loss_dice: 0.6550, decode.d7.loss_cls: 0.1577, decode.d7.loss_mask: 0.4343, decode.d7.loss_dice: 0.6550, decode.d8.loss_cls: 0.1583, decode.d8.loss_mask: 0.4343, decode.d8.loss_dice: 0.6513, loss: 13.8719, grad_norm: 63.4637 2023-11-22 20:20:48,392 - mmseg - INFO - Iter [141900/160000] lr: 1.078e-06, eta: 2:56:42, time: 0.563, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1565, decode.loss_mask: 0.4403, decode.loss_dice: 0.6667, decode.d0.loss_cls: 1.2305, decode.d0.loss_mask: 0.4750, decode.d0.loss_dice: 0.7334, decode.d1.loss_cls: 0.2356, decode.d1.loss_mask: 0.4532, decode.d1.loss_dice: 0.6940, decode.d2.loss_cls: 0.1939, decode.d2.loss_mask: 0.4462, decode.d2.loss_dice: 0.6834, decode.d3.loss_cls: 0.1721, decode.d3.loss_mask: 0.4419, decode.d3.loss_dice: 0.6719, decode.d4.loss_cls: 0.1697, decode.d4.loss_mask: 0.4428, decode.d4.loss_dice: 0.6691, decode.d5.loss_cls: 0.1664, decode.d5.loss_mask: 0.4427, decode.d5.loss_dice: 0.6678, decode.d6.loss_cls: 0.1591, decode.d6.loss_mask: 0.4407, decode.d6.loss_dice: 0.6721, decode.d7.loss_cls: 0.1648, decode.d7.loss_mask: 0.4412, decode.d7.loss_dice: 0.6652, decode.d8.loss_cls: 0.1574, decode.d8.loss_mask: 0.4411, decode.d8.loss_dice: 0.6695, loss: 14.0642, grad_norm: 67.5844 2023-11-22 20:21:16,637 - mmseg - INFO - Iter [141950/160000] lr: 1.075e-06, eta: 2:56:12, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1556, decode.loss_mask: 0.4194, decode.loss_dice: 0.6368, decode.d0.loss_cls: 1.2092, decode.d0.loss_mask: 0.4569, decode.d0.loss_dice: 0.7174, decode.d1.loss_cls: 0.2263, decode.d1.loss_mask: 0.4356, decode.d1.loss_dice: 0.6749, decode.d2.loss_cls: 0.1849, decode.d2.loss_mask: 0.4265, decode.d2.loss_dice: 0.6578, decode.d3.loss_cls: 0.1713, decode.d3.loss_mask: 0.4246, decode.d3.loss_dice: 0.6431, decode.d4.loss_cls: 0.1682, decode.d4.loss_mask: 0.4236, decode.d4.loss_dice: 0.6437, decode.d5.loss_cls: 0.1636, decode.d5.loss_mask: 0.4223, decode.d5.loss_dice: 0.6428, decode.d6.loss_cls: 0.1653, decode.d6.loss_mask: 0.4194, decode.d6.loss_dice: 0.6382, decode.d7.loss_cls: 0.1590, decode.d7.loss_mask: 0.4207, decode.d7.loss_dice: 0.6413, decode.d8.loss_cls: 0.1583, decode.d8.loss_mask: 0.4198, decode.d8.loss_dice: 0.6431, loss: 13.5697, grad_norm: 64.7964 2023-11-22 20:21:44,874 - mmseg - INFO - Saving checkpoint at 142000 iterations 2023-11-22 20:21:53,041 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 20:21:53,041 - mmseg - INFO - Iter [142000/160000] lr: 1.072e-06, eta: 2:55:44, time: 0.728, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1613, decode.loss_mask: 0.4397, decode.loss_dice: 0.6671, decode.d0.loss_cls: 1.2293, decode.d0.loss_mask: 0.4734, decode.d0.loss_dice: 0.7358, decode.d1.loss_cls: 0.2447, decode.d1.loss_mask: 0.4531, decode.d1.loss_dice: 0.7025, decode.d2.loss_cls: 0.2033, decode.d2.loss_mask: 0.4450, decode.d2.loss_dice: 0.6793, decode.d3.loss_cls: 0.1809, decode.d3.loss_mask: 0.4409, decode.d3.loss_dice: 0.6700, decode.d4.loss_cls: 0.1754, decode.d4.loss_mask: 0.4417, decode.d4.loss_dice: 0.6676, decode.d5.loss_cls: 0.1695, decode.d5.loss_mask: 0.4415, decode.d5.loss_dice: 0.6701, decode.d6.loss_cls: 0.1657, decode.d6.loss_mask: 0.4382, decode.d6.loss_dice: 0.6653, decode.d7.loss_cls: 0.1659, decode.d7.loss_mask: 0.4383, decode.d7.loss_dice: 0.6655, decode.d8.loss_cls: 0.1599, decode.d8.loss_mask: 0.4393, decode.d8.loss_dice: 0.6667, loss: 14.0966, grad_norm: 67.7591 2023-11-22 20:22:12,423 - mmseg - INFO - per class results: 2023-11-22 20:22:12,428 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.99 | 89.07 | | building | 84.36 | 91.52 | | sky | 95.01 | 97.64 | | floor | 83.98 | 91.39 | | tree | 76.67 | 88.12 | | ceiling | 86.36 | 92.8 | | road | 87.23 | 93.1 | | bed | 91.99 | 96.19 | | windowpane | 66.07 | 82.14 | | grass | 69.72 | 80.81 | | cabinet | 64.25 | 75.89 | | sidewalk | 69.6 | 79.99 | | person | 86.18 | 93.68 | | earth | 40.88 | 57.28 | | door | 55.21 | 69.38 | | table | 70.84 | 84.71 | | mountain | 53.55 | 67.4 | | plant | 55.03 | 68.48 | | curtain | 75.24 | 87.1 | | chair | 66.14 | 78.64 | | car | 87.74 | 93.94 | | water | 48.91 | 58.93 | | painting | 77.16 | 90.53 | | sofa | 74.64 | 89.14 | | shelf | 46.75 | 60.51 | | house | 50.21 | 82.64 | | sea | 57.56 | 84.34 | | mirror | 75.15 | 84.02 | | rug | 67.1 | 81.99 | | field | 36.95 | 60.3 | | armchair | 52.36 | 69.83 | | seat | 62.95 | 83.58 | | fence | 57.28 | 71.28 | | desk | 58.8 | 78.98 | | rock | 52.22 | 70.13 | | wardrobe | 50.24 | 72.5 | | lamp | 73.9 | 82.51 | | bathtub | 79.56 | 86.15 | | railing | 38.14 | 53.45 | | cushion | 67.01 | 76.29 | | base | 34.25 | 59.26 | | box | 32.81 | 41.68 | | column | 53.66 | 69.47 | | signboard | 42.3 | 57.1 | | chest of drawers | 37.0 | 55.4 | | counter | 46.11 | 56.63 | | sand | 40.07 | 57.29 | | sink | 81.05 | 85.45 | | skyscraper | 60.7 | 75.58 | | fireplace | 75.48 | 93.83 | | refrigerator | 79.09 | 83.33 | | grandstand | 45.7 | 76.45 | | path | 18.01 | 33.28 | | stairs | 37.31 | 45.73 | | runway | 71.29 | 93.46 | | case | 52.12 | 75.96 | | pool table | 94.48 | 97.76 | | pillow | 64.22 | 77.9 | | screen door | 78.69 | 83.66 | | stairway | 42.93 | 52.6 | | river | 10.08 | 30.47 | | bridge | 78.74 | 90.64 | | bookcase | 37.46 | 64.73 | | blind | 49.63 | 57.62 | | coffee table | 70.84 | 87.3 | | toilet | 91.0 | 93.5 | | flower | 41.58 | 61.1 | | book | 53.68 | 77.42 | | hill | 9.48 | 15.58 | | bench | 62.62 | 70.84 | | countertop | 64.23 | 80.78 | | stove | 86.99 | 89.77 | | palm | 54.95 | 82.17 | | kitchen island | 56.43 | 82.46 | | computer | 75.95 | 84.96 | | swivel chair | 49.4 | 64.07 | | boat | 36.93 | 57.42 | | bar | 58.42 | 63.58 | | arcade machine | 63.45 | 67.3 | | hovel | 39.98 | 42.39 | | bus | 94.25 | 97.2 | | towel | 77.51 | 88.88 | | light | 66.54 | 78.94 | | truck | 46.77 | 54.12 | | tower | 36.6 | 61.81 | | chandelier | 72.52 | 88.58 | | awning | 39.49 | 52.46 | | streetlight | 46.73 | 62.08 | | booth | 49.98 | 70.11 | | television receiver | 79.0 | 88.63 | | airplane | 62.59 | 76.56 | | dirt track | 10.55 | 16.65 | | apparel | 52.97 | 70.32 | | pole | 37.45 | 59.48 | | land | 4.2 | 6.7 | | bannister | 19.53 | 32.82 | | escalator | 48.99 | 59.54 | | ottoman | 53.1 | 76.18 | | bottle | 38.31 | 62.67 | | buffet | 47.13 | 66.23 | | poster | 28.63 | 43.43 | | stage | 27.74 | 48.1 | | van | 42.3 | 63.29 | | ship | 9.21 | 13.92 | | fountain | 21.58 | 21.91 | | conveyer belt | 78.17 | 94.87 | | canopy | 33.2 | 52.65 | | washer | 69.89 | 72.81 | | plaything | 43.06 | 57.83 | | swimming pool | 61.87 | 63.6 | | stool | 59.37 | 74.86 | | barrel | 61.84 | 98.11 | | basket | 44.59 | 56.39 | | waterfall | 80.85 | 92.97 | | tent | 88.94 | 98.31 | | bag | 22.2 | 30.82 | | minibike | 71.09 | 90.93 | | cradle | 88.75 | 97.72 | | oven | 56.4 | 68.44 | | ball | 63.56 | 73.69 | | food | 53.79 | 61.36 | | step | 24.84 | 32.58 | | tank | 63.14 | 65.78 | | trade name | 31.21 | 37.17 | | microwave | 87.49 | 96.2 | | pot | 56.59 | 68.6 | | animal | 57.08 | 58.38 | | bicycle | 61.72 | 79.75 | | lake | 58.76 | 63.64 | | dishwasher | 79.53 | 84.59 | | screen | 56.28 | 91.85 | | blanket | 40.82 | 51.29 | | sculpture | 73.04 | 89.49 | | hood | 73.88 | 78.24 | | sconce | 61.2 | 77.24 | | vase | 56.81 | 74.19 | | traffic light | 48.03 | 72.85 | | tray | 22.81 | 30.97 | | ashcan | 50.49 | 72.19 | | fan | 72.15 | 84.79 | | pier | 52.35 | 55.46 | | crt screen | 2.18 | 6.84 | | plate | 65.54 | 81.79 | | monitor | 9.5 | 11.74 | | bulletin board | 62.63 | 79.84 | | shower | 13.19 | 25.15 | | radiator | 69.71 | 83.44 | | glass | 24.16 | 26.32 | | clock | 56.12 | 67.83 | | flag | 72.58 | 84.34 | +---------------------+-------+-------+ 2023-11-22 20:22:12,428 - mmseg - INFO - Summary: 2023-11-22 20:22:12,428 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.23 | 56.32 | 69.41 | +-------+-------+-------+ 2023-11-22 20:22:12,429 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 20:22:12,429 - mmseg - INFO - Iter(val) [250] aAcc: 0.8523, mIoU: 0.5632, mAcc: 0.6941, IoU.wall: 0.8099, IoU.building: 0.8436, IoU.sky: 0.9501, IoU.floor: 0.8398, IoU.tree: 0.7667, IoU.ceiling: 0.8636, IoU.road: 0.8723, IoU.bed : 0.9199, IoU.windowpane: 0.6607, IoU.grass: 0.6972, IoU.cabinet: 0.6425, IoU.sidewalk: 0.6960, IoU.person: 0.8618, IoU.earth: 0.4088, IoU.door: 0.5521, IoU.table: 0.7084, IoU.mountain: 0.5355, IoU.plant: 0.5503, IoU.curtain: 0.7524, IoU.chair: 0.6614, IoU.car: 0.8774, IoU.water: 0.4891, IoU.painting: 0.7716, IoU.sofa: 0.7464, IoU.shelf: 0.4675, IoU.house: 0.5021, IoU.sea: 0.5756, IoU.mirror: 0.7515, IoU.rug: 0.6710, IoU.field: 0.3695, IoU.armchair: 0.5236, IoU.seat: 0.6295, IoU.fence: 0.5728, IoU.desk: 0.5880, IoU.rock: 0.5222, IoU.wardrobe: 0.5024, IoU.lamp: 0.7390, IoU.bathtub: 0.7956, IoU.railing: 0.3814, IoU.cushion: 0.6701, IoU.base: 0.3425, IoU.box: 0.3281, IoU.column: 0.5366, IoU.signboard: 0.4230, IoU.chest of drawers: 0.3700, IoU.counter: 0.4611, IoU.sand: 0.4007, IoU.sink: 0.8105, IoU.skyscraper: 0.6070, IoU.fireplace: 0.7548, IoU.refrigerator: 0.7909, IoU.grandstand: 0.4570, IoU.path: 0.1801, IoU.stairs: 0.3731, IoU.runway: 0.7129, IoU.case: 0.5212, IoU.pool table: 0.9448, IoU.pillow: 0.6422, IoU.screen door: 0.7869, IoU.stairway: 0.4293, IoU.river: 0.1008, IoU.bridge: 0.7874, IoU.bookcase: 0.3746, IoU.blind: 0.4963, IoU.coffee table: 0.7084, IoU.toilet: 0.9100, IoU.flower: 0.4158, IoU.book: 0.5368, IoU.hill: 0.0948, IoU.bench: 0.6262, IoU.countertop: 0.6423, IoU.stove: 0.8699, IoU.palm: 0.5495, IoU.kitchen island: 0.5643, IoU.computer: 0.7595, IoU.swivel chair: 0.4940, IoU.boat: 0.3693, IoU.bar: 0.5842, IoU.arcade machine: 0.6345, IoU.hovel: 0.3998, IoU.bus: 0.9425, IoU.towel: 0.7751, IoU.light: 0.6654, IoU.truck: 0.4677, IoU.tower: 0.3660, IoU.chandelier: 0.7252, IoU.awning: 0.3949, IoU.streetlight: 0.4673, IoU.booth: 0.4998, IoU.television receiver: 0.7900, IoU.airplane: 0.6259, IoU.dirt track: 0.1055, IoU.apparel: 0.5297, IoU.pole: 0.3745, IoU.land: 0.0420, IoU.bannister: 0.1953, IoU.escalator: 0.4899, IoU.ottoman: 0.5310, IoU.bottle: 0.3831, IoU.buffet: 0.4713, IoU.poster: 0.2863, IoU.stage: 0.2774, IoU.van: 0.4230, IoU.ship: 0.0921, IoU.fountain: 0.2158, IoU.conveyer belt: 0.7817, IoU.canopy: 0.3320, IoU.washer: 0.6989, IoU.plaything: 0.4306, IoU.swimming pool: 0.6187, IoU.stool: 0.5937, IoU.barrel: 0.6184, IoU.basket: 0.4459, IoU.waterfall: 0.8085, IoU.tent: 0.8894, IoU.bag: 0.2220, IoU.minibike: 0.7109, IoU.cradle: 0.8875, IoU.oven: 0.5640, IoU.ball: 0.6356, IoU.food: 0.5379, IoU.step: 0.2484, IoU.tank: 0.6314, IoU.trade name: 0.3121, IoU.microwave: 0.8749, IoU.pot: 0.5659, IoU.animal: 0.5708, IoU.bicycle: 0.6172, IoU.lake: 0.5876, IoU.dishwasher: 0.7953, IoU.screen: 0.5628, IoU.blanket: 0.4082, IoU.sculpture: 0.7304, IoU.hood: 0.7388, IoU.sconce: 0.6120, IoU.vase: 0.5681, IoU.traffic light: 0.4803, IoU.tray: 0.2281, IoU.ashcan: 0.5049, IoU.fan: 0.7215, IoU.pier: 0.5235, IoU.crt screen: 0.0218, IoU.plate: 0.6554, IoU.monitor: 0.0950, IoU.bulletin board: 0.6263, IoU.shower: 0.1319, IoU.radiator: 0.6971, IoU.glass: 0.2416, IoU.clock: 0.5612, IoU.flag: 0.7258, Acc.wall: 0.8907, Acc.building: 0.9152, Acc.sky: 0.9764, Acc.floor: 0.9139, Acc.tree: 0.8812, Acc.ceiling: 0.9280, Acc.road: 0.9310, Acc.bed : 0.9619, Acc.windowpane: 0.8214, Acc.grass: 0.8081, Acc.cabinet: 0.7589, Acc.sidewalk: 0.7999, Acc.person: 0.9368, Acc.earth: 0.5728, Acc.door: 0.6938, Acc.table: 0.8471, Acc.mountain: 0.6740, Acc.plant: 0.6848, Acc.curtain: 0.8710, Acc.chair: 0.7864, Acc.car: 0.9394, Acc.water: 0.5893, Acc.painting: 0.9053, Acc.sofa: 0.8914, Acc.shelf: 0.6051, Acc.house: 0.8264, Acc.sea: 0.8434, Acc.mirror: 0.8402, Acc.rug: 0.8199, Acc.field: 0.6030, Acc.armchair: 0.6983, Acc.seat: 0.8358, Acc.fence: 0.7128, Acc.desk: 0.7898, Acc.rock: 0.7013, Acc.wardrobe: 0.7250, Acc.lamp: 0.8251, Acc.bathtub: 0.8615, Acc.railing: 0.5345, Acc.cushion: 0.7629, Acc.base: 0.5926, Acc.box: 0.4168, Acc.column: 0.6947, Acc.signboard: 0.5710, Acc.chest of drawers: 0.5540, Acc.counter: 0.5663, Acc.sand: 0.5729, Acc.sink: 0.8545, Acc.skyscraper: 0.7558, Acc.fireplace: 0.9383, Acc.refrigerator: 0.8333, Acc.grandstand: 0.7645, Acc.path: 0.3328, Acc.stairs: 0.4573, Acc.runway: 0.9346, Acc.case: 0.7596, Acc.pool table: 0.9776, Acc.pillow: 0.7790, Acc.screen door: 0.8366, Acc.stairway: 0.5260, Acc.river: 0.3047, Acc.bridge: 0.9064, Acc.bookcase: 0.6473, Acc.blind: 0.5762, Acc.coffee table: 0.8730, Acc.toilet: 0.9350, Acc.flower: 0.6110, Acc.book: 0.7742, Acc.hill: 0.1558, Acc.bench: 0.7084, Acc.countertop: 0.8078, Acc.stove: 0.8977, Acc.palm: 0.8217, Acc.kitchen island: 0.8246, Acc.computer: 0.8496, Acc.swivel chair: 0.6407, Acc.boat: 0.5742, Acc.bar: 0.6358, Acc.arcade machine: 0.6730, Acc.hovel: 0.4239, Acc.bus: 0.9720, Acc.towel: 0.8888, Acc.light: 0.7894, Acc.truck: 0.5412, Acc.tower: 0.6181, Acc.chandelier: 0.8858, Acc.awning: 0.5246, Acc.streetlight: 0.6208, Acc.booth: 0.7011, Acc.television receiver: 0.8863, Acc.airplane: 0.7656, Acc.dirt track: 0.1665, Acc.apparel: 0.7032, Acc.pole: 0.5948, Acc.land: 0.0670, Acc.bannister: 0.3282, Acc.escalator: 0.5954, Acc.ottoman: 0.7618, Acc.bottle: 0.6267, Acc.buffet: 0.6623, Acc.poster: 0.4343, Acc.stage: 0.4810, Acc.van: 0.6329, Acc.ship: 0.1392, Acc.fountain: 0.2191, Acc.conveyer belt: 0.9487, Acc.canopy: 0.5265, Acc.washer: 0.7281, Acc.plaything: 0.5783, Acc.swimming pool: 0.6360, Acc.stool: 0.7486, Acc.barrel: 0.9811, Acc.basket: 0.5639, Acc.waterfall: 0.9297, Acc.tent: 0.9831, Acc.bag: 0.3082, Acc.minibike: 0.9093, Acc.cradle: 0.9772, Acc.oven: 0.6844, Acc.ball: 0.7369, Acc.food: 0.6136, Acc.step: 0.3258, Acc.tank: 0.6578, Acc.trade name: 0.3717, Acc.microwave: 0.9620, Acc.pot: 0.6860, Acc.animal: 0.5838, Acc.bicycle: 0.7975, Acc.lake: 0.6364, Acc.dishwasher: 0.8459, Acc.screen: 0.9185, Acc.blanket: 0.5129, Acc.sculpture: 0.8949, Acc.hood: 0.7824, Acc.sconce: 0.7724, Acc.vase: 0.7419, Acc.traffic light: 0.7285, Acc.tray: 0.3097, Acc.ashcan: 0.7219, Acc.fan: 0.8479, Acc.pier: 0.5546, Acc.crt screen: 0.0684, Acc.plate: 0.8179, Acc.monitor: 0.1174, Acc.bulletin board: 0.7984, Acc.shower: 0.2515, Acc.radiator: 0.8344, Acc.glass: 0.2632, Acc.clock: 0.6783, Acc.flag: 0.8434 2023-11-22 20:22:40,812 - mmseg - INFO - Iter [142050/160000] lr: 1.069e-06, eta: 2:55:17, time: 0.955, data_time: 0.402, memory: 38143, decode.loss_cls: 0.1737, decode.loss_mask: 0.4222, decode.loss_dice: 0.6615, decode.d0.loss_cls: 1.2898, decode.d0.loss_mask: 0.4587, decode.d0.loss_dice: 0.7338, decode.d1.loss_cls: 0.2438, decode.d1.loss_mask: 0.4390, decode.d1.loss_dice: 0.6956, decode.d2.loss_cls: 0.2068, decode.d2.loss_mask: 0.4297, decode.d2.loss_dice: 0.6788, decode.d3.loss_cls: 0.1942, decode.d3.loss_mask: 0.4244, decode.d3.loss_dice: 0.6698, decode.d4.loss_cls: 0.1825, decode.d4.loss_mask: 0.4234, decode.d4.loss_dice: 0.6657, decode.d5.loss_cls: 0.1806, decode.d5.loss_mask: 0.4252, decode.d5.loss_dice: 0.6704, decode.d6.loss_cls: 0.1785, decode.d6.loss_mask: 0.4226, decode.d6.loss_dice: 0.6625, decode.d7.loss_cls: 0.1702, decode.d7.loss_mask: 0.4222, decode.d7.loss_dice: 0.6644, decode.d8.loss_cls: 0.1733, decode.d8.loss_mask: 0.4223, decode.d8.loss_dice: 0.6649, loss: 14.0506, grad_norm: 62.8423 2023-11-22 20:23:09,241 - mmseg - INFO - Iter [142100/160000] lr: 1.066e-06, eta: 2:54:48, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1524, decode.loss_mask: 0.4318, decode.loss_dice: 0.6363, decode.d0.loss_cls: 1.2524, decode.d0.loss_mask: 0.4674, decode.d0.loss_dice: 0.7024, decode.d1.loss_cls: 0.2307, decode.d1.loss_mask: 0.4472, decode.d1.loss_dice: 0.6720, decode.d2.loss_cls: 0.1838, decode.d2.loss_mask: 0.4380, decode.d2.loss_dice: 0.6552, decode.d3.loss_cls: 0.1718, decode.d3.loss_mask: 0.4326, decode.d3.loss_dice: 0.6407, decode.d4.loss_cls: 0.1629, decode.d4.loss_mask: 0.4336, decode.d4.loss_dice: 0.6420, decode.d5.loss_cls: 0.1592, decode.d5.loss_mask: 0.4328, decode.d5.loss_dice: 0.6427, decode.d6.loss_cls: 0.1570, decode.d6.loss_mask: 0.4320, decode.d6.loss_dice: 0.6364, decode.d7.loss_cls: 0.1563, decode.d7.loss_mask: 0.4310, decode.d7.loss_dice: 0.6394, decode.d8.loss_cls: 0.1537, decode.d8.loss_mask: 0.4308, decode.d8.loss_dice: 0.6375, loss: 13.6620, grad_norm: 64.3096 2023-11-22 20:23:37,440 - mmseg - INFO - Iter [142150/160000] lr: 1.063e-06, eta: 2:54:18, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1739, decode.loss_mask: 0.4176, decode.loss_dice: 0.6396, decode.d0.loss_cls: 1.2644, decode.d0.loss_mask: 0.4523, decode.d0.loss_dice: 0.7145, decode.d1.loss_cls: 0.2435, decode.d1.loss_mask: 0.4341, decode.d1.loss_dice: 0.6742, decode.d2.loss_cls: 0.2009, decode.d2.loss_mask: 0.4280, decode.d2.loss_dice: 0.6558, decode.d3.loss_cls: 0.1931, decode.d3.loss_mask: 0.4228, decode.d3.loss_dice: 0.6420, decode.d4.loss_cls: 0.1810, decode.d4.loss_mask: 0.4224, decode.d4.loss_dice: 0.6455, decode.d5.loss_cls: 0.1800, decode.d5.loss_mask: 0.4211, decode.d5.loss_dice: 0.6426, decode.d6.loss_cls: 0.1765, decode.d6.loss_mask: 0.4200, decode.d6.loss_dice: 0.6390, decode.d7.loss_cls: 0.1733, decode.d7.loss_mask: 0.4194, decode.d7.loss_dice: 0.6440, decode.d8.loss_cls: 0.1711, decode.d8.loss_mask: 0.4183, decode.d8.loss_dice: 0.6397, loss: 13.7507, grad_norm: 62.2231 2023-11-22 20:24:05,725 - mmseg - INFO - Iter [142200/160000] lr: 1.060e-06, eta: 2:53:49, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1670, decode.loss_mask: 0.4284, decode.loss_dice: 0.6584, decode.d0.loss_cls: 1.3133, decode.d0.loss_mask: 0.4659, decode.d0.loss_dice: 0.7353, decode.d1.loss_cls: 0.2493, decode.d1.loss_mask: 0.4478, decode.d1.loss_dice: 0.6973, decode.d2.loss_cls: 0.2057, decode.d2.loss_mask: 0.4368, decode.d2.loss_dice: 0.6815, decode.d3.loss_cls: 0.1836, decode.d3.loss_mask: 0.4342, decode.d3.loss_dice: 0.6668, decode.d4.loss_cls: 0.1734, decode.d4.loss_mask: 0.4348, decode.d4.loss_dice: 0.6663, decode.d5.loss_cls: 0.1731, decode.d5.loss_mask: 0.4311, decode.d5.loss_dice: 0.6663, decode.d6.loss_cls: 0.1733, decode.d6.loss_mask: 0.4298, decode.d6.loss_dice: 0.6592, decode.d7.loss_cls: 0.1679, decode.d7.loss_mask: 0.4304, decode.d7.loss_dice: 0.6631, decode.d8.loss_cls: 0.1654, decode.d8.loss_mask: 0.4293, decode.d8.loss_dice: 0.6649, loss: 14.0996, grad_norm: 64.0601 2023-11-22 20:24:33,853 - mmseg - INFO - Iter [142250/160000] lr: 1.057e-06, eta: 2:53:19, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1550, decode.loss_mask: 0.4139, decode.loss_dice: 0.6490, decode.d0.loss_cls: 1.2523, decode.d0.loss_mask: 0.4472, decode.d0.loss_dice: 0.7256, decode.d1.loss_cls: 0.2290, decode.d1.loss_mask: 0.4267, decode.d1.loss_dice: 0.6832, decode.d2.loss_cls: 0.1948, decode.d2.loss_mask: 0.4206, decode.d2.loss_dice: 0.6683, decode.d3.loss_cls: 0.1740, decode.d3.loss_mask: 0.4161, decode.d3.loss_dice: 0.6554, decode.d4.loss_cls: 0.1646, decode.d4.loss_mask: 0.4155, decode.d4.loss_dice: 0.6542, decode.d5.loss_cls: 0.1611, decode.d5.loss_mask: 0.4151, decode.d5.loss_dice: 0.6499, decode.d6.loss_cls: 0.1579, decode.d6.loss_mask: 0.4150, decode.d6.loss_dice: 0.6508, decode.d7.loss_cls: 0.1591, decode.d7.loss_mask: 0.4137, decode.d7.loss_dice: 0.6485, decode.d8.loss_cls: 0.1616, decode.d8.loss_mask: 0.4138, decode.d8.loss_dice: 0.6500, loss: 13.6417, grad_norm: 60.2839 2023-11-22 20:25:02,155 - mmseg - INFO - Iter [142300/160000] lr: 1.054e-06, eta: 2:52:50, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1729, decode.loss_mask: 0.4216, decode.loss_dice: 0.6587, decode.d0.loss_cls: 1.2588, decode.d0.loss_mask: 0.4576, decode.d0.loss_dice: 0.7407, decode.d1.loss_cls: 0.2524, decode.d1.loss_mask: 0.4363, decode.d1.loss_dice: 0.6926, decode.d2.loss_cls: 0.2069, decode.d2.loss_mask: 0.4296, decode.d2.loss_dice: 0.6762, decode.d3.loss_cls: 0.1930, decode.d3.loss_mask: 0.4257, decode.d3.loss_dice: 0.6639, decode.d4.loss_cls: 0.1860, decode.d4.loss_mask: 0.4251, decode.d4.loss_dice: 0.6657, decode.d5.loss_cls: 0.1819, decode.d5.loss_mask: 0.4253, decode.d5.loss_dice: 0.6645, decode.d6.loss_cls: 0.1825, decode.d6.loss_mask: 0.4221, decode.d6.loss_dice: 0.6602, decode.d7.loss_cls: 0.1744, decode.d7.loss_mask: 0.4231, decode.d7.loss_dice: 0.6603, decode.d8.loss_cls: 0.1759, decode.d8.loss_mask: 0.4229, decode.d8.loss_dice: 0.6583, loss: 14.0152, grad_norm: 64.4734 2023-11-22 20:25:30,620 - mmseg - INFO - Iter [142350/160000] lr: 1.051e-06, eta: 2:52:21, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1612, decode.loss_mask: 0.4368, decode.loss_dice: 0.6401, decode.d0.loss_cls: 1.2298, decode.d0.loss_mask: 0.4656, decode.d0.loss_dice: 0.7115, decode.d1.loss_cls: 0.2318, decode.d1.loss_mask: 0.4518, decode.d1.loss_dice: 0.6819, decode.d2.loss_cls: 0.1910, decode.d2.loss_mask: 0.4440, decode.d2.loss_dice: 0.6614, decode.d3.loss_cls: 0.1768, decode.d3.loss_mask: 0.4406, decode.d3.loss_dice: 0.6491, decode.d4.loss_cls: 0.1724, decode.d4.loss_mask: 0.4390, decode.d4.loss_dice: 0.6458, decode.d5.loss_cls: 0.1646, decode.d5.loss_mask: 0.4378, decode.d5.loss_dice: 0.6478, decode.d6.loss_cls: 0.1678, decode.d6.loss_mask: 0.4374, decode.d6.loss_dice: 0.6409, decode.d7.loss_cls: 0.1648, decode.d7.loss_mask: 0.4373, decode.d7.loss_dice: 0.6452, decode.d8.loss_cls: 0.1630, decode.d8.loss_mask: 0.4372, decode.d8.loss_dice: 0.6407, loss: 13.8155, grad_norm: 64.3030 2023-11-22 20:25:59,096 - mmseg - INFO - Iter [142400/160000] lr: 1.048e-06, eta: 2:51:51, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1679, decode.loss_mask: 0.4310, decode.loss_dice: 0.6556, decode.d0.loss_cls: 1.2610, decode.d0.loss_mask: 0.4655, decode.d0.loss_dice: 0.7271, decode.d1.loss_cls: 0.2452, decode.d1.loss_mask: 0.4471, decode.d1.loss_dice: 0.6920, decode.d2.loss_cls: 0.2041, decode.d2.loss_mask: 0.4402, decode.d2.loss_dice: 0.6729, decode.d3.loss_cls: 0.1874, decode.d3.loss_mask: 0.4339, decode.d3.loss_dice: 0.6602, decode.d4.loss_cls: 0.1766, decode.d4.loss_mask: 0.4340, decode.d4.loss_dice: 0.6630, decode.d5.loss_cls: 0.1720, decode.d5.loss_mask: 0.4332, decode.d5.loss_dice: 0.6626, decode.d6.loss_cls: 0.1691, decode.d6.loss_mask: 0.4309, decode.d6.loss_dice: 0.6586, decode.d7.loss_cls: 0.1658, decode.d7.loss_mask: 0.4308, decode.d7.loss_dice: 0.6580, decode.d8.loss_cls: 0.1652, decode.d8.loss_mask: 0.4302, decode.d8.loss_dice: 0.6608, loss: 14.0018, grad_norm: 63.1115 2023-11-22 20:26:27,353 - mmseg - INFO - Iter [142450/160000] lr: 1.045e-06, eta: 2:51:22, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1739, decode.loss_mask: 0.4302, decode.loss_dice: 0.6600, decode.d0.loss_cls: 1.2692, decode.d0.loss_mask: 0.4667, decode.d0.loss_dice: 0.7379, decode.d1.loss_cls: 0.2539, decode.d1.loss_mask: 0.4478, decode.d1.loss_dice: 0.6965, decode.d2.loss_cls: 0.2089, decode.d2.loss_mask: 0.4393, decode.d2.loss_dice: 0.6817, decode.d3.loss_cls: 0.1941, decode.d3.loss_mask: 0.4337, decode.d3.loss_dice: 0.6679, decode.d4.loss_cls: 0.1915, decode.d4.loss_mask: 0.4328, decode.d4.loss_dice: 0.6677, decode.d5.loss_cls: 0.1802, decode.d5.loss_mask: 0.4305, decode.d5.loss_dice: 0.6633, decode.d6.loss_cls: 0.1793, decode.d6.loss_mask: 0.4290, decode.d6.loss_dice: 0.6562, decode.d7.loss_cls: 0.1779, decode.d7.loss_mask: 0.4295, decode.d7.loss_dice: 0.6613, decode.d8.loss_cls: 0.1728, decode.d8.loss_mask: 0.4303, decode.d8.loss_dice: 0.6607, loss: 14.1245, grad_norm: 66.2477 2023-11-22 20:26:55,557 - mmseg - INFO - Iter [142500/160000] lr: 1.042e-06, eta: 2:50:52, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1574, decode.loss_mask: 0.4411, decode.loss_dice: 0.6528, decode.d0.loss_cls: 1.2164, decode.d0.loss_mask: 0.4754, decode.d0.loss_dice: 0.7263, decode.d1.loss_cls: 0.2275, decode.d1.loss_mask: 0.4565, decode.d1.loss_dice: 0.6868, decode.d2.loss_cls: 0.1867, decode.d2.loss_mask: 0.4481, decode.d2.loss_dice: 0.6713, decode.d3.loss_cls: 0.1734, decode.d3.loss_mask: 0.4456, decode.d3.loss_dice: 0.6626, decode.d4.loss_cls: 0.1634, decode.d4.loss_mask: 0.4441, decode.d4.loss_dice: 0.6626, decode.d5.loss_cls: 0.1659, decode.d5.loss_mask: 0.4441, decode.d5.loss_dice: 0.6583, decode.d6.loss_cls: 0.1572, decode.d6.loss_mask: 0.4427, decode.d6.loss_dice: 0.6553, decode.d7.loss_cls: 0.1570, decode.d7.loss_mask: 0.4442, decode.d7.loss_dice: 0.6547, decode.d8.loss_cls: 0.1557, decode.d8.loss_mask: 0.4423, decode.d8.loss_dice: 0.6529, loss: 13.9285, grad_norm: 67.4864 2023-11-22 20:27:23,890 - mmseg - INFO - Iter [142550/160000] lr: 1.039e-06, eta: 2:50:23, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1698, decode.loss_mask: 0.4337, decode.loss_dice: 0.6720, decode.d0.loss_cls: 1.2576, decode.d0.loss_mask: 0.4648, decode.d0.loss_dice: 0.7396, decode.d1.loss_cls: 0.2450, decode.d1.loss_mask: 0.4462, decode.d1.loss_dice: 0.6989, decode.d2.loss_cls: 0.2012, decode.d2.loss_mask: 0.4416, decode.d2.loss_dice: 0.6858, decode.d3.loss_cls: 0.1865, decode.d3.loss_mask: 0.4372, decode.d3.loss_dice: 0.6752, decode.d4.loss_cls: 0.1806, decode.d4.loss_mask: 0.4360, decode.d4.loss_dice: 0.6717, decode.d5.loss_cls: 0.1780, decode.d5.loss_mask: 0.4343, decode.d5.loss_dice: 0.6711, decode.d6.loss_cls: 0.1731, decode.d6.loss_mask: 0.4344, decode.d6.loss_dice: 0.6711, decode.d7.loss_cls: 0.1731, decode.d7.loss_mask: 0.4351, decode.d7.loss_dice: 0.6691, decode.d8.loss_cls: 0.1710, decode.d8.loss_mask: 0.4347, decode.d8.loss_dice: 0.6686, loss: 14.1570, grad_norm: 64.0761 2023-11-22 20:27:52,218 - mmseg - INFO - Iter [142600/160000] lr: 1.036e-06, eta: 2:49:54, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1598, decode.loss_mask: 0.4203, decode.loss_dice: 0.6567, decode.d0.loss_cls: 1.2380, decode.d0.loss_mask: 0.4518, decode.d0.loss_dice: 0.7179, decode.d1.loss_cls: 0.2377, decode.d1.loss_mask: 0.4335, decode.d1.loss_dice: 0.6818, decode.d2.loss_cls: 0.1947, decode.d2.loss_mask: 0.4256, decode.d2.loss_dice: 0.6694, decode.d3.loss_cls: 0.1798, decode.d3.loss_mask: 0.4236, decode.d3.loss_dice: 0.6583, decode.d4.loss_cls: 0.1718, decode.d4.loss_mask: 0.4211, decode.d4.loss_dice: 0.6587, decode.d5.loss_cls: 0.1650, decode.d5.loss_mask: 0.4218, decode.d5.loss_dice: 0.6571, decode.d6.loss_cls: 0.1645, decode.d6.loss_mask: 0.4207, decode.d6.loss_dice: 0.6560, decode.d7.loss_cls: 0.1591, decode.d7.loss_mask: 0.4212, decode.d7.loss_dice: 0.6573, decode.d8.loss_cls: 0.1572, decode.d8.loss_mask: 0.4211, decode.d8.loss_dice: 0.6536, loss: 13.7553, grad_norm: 61.1473 2023-11-22 20:28:20,721 - mmseg - INFO - Iter [142650/160000] lr: 1.033e-06, eta: 2:49:24, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1618, decode.loss_mask: 0.4332, decode.loss_dice: 0.6466, decode.d0.loss_cls: 1.2163, decode.d0.loss_mask: 0.4694, decode.d0.loss_dice: 0.7122, decode.d1.loss_cls: 0.2377, decode.d1.loss_mask: 0.4477, decode.d1.loss_dice: 0.6800, decode.d2.loss_cls: 0.1974, decode.d2.loss_mask: 0.4382, decode.d2.loss_dice: 0.6582, decode.d3.loss_cls: 0.1777, decode.d3.loss_mask: 0.4351, decode.d3.loss_dice: 0.6510, decode.d4.loss_cls: 0.1682, decode.d4.loss_mask: 0.4345, decode.d4.loss_dice: 0.6496, decode.d5.loss_cls: 0.1660, decode.d5.loss_mask: 0.4357, decode.d5.loss_dice: 0.6468, decode.d6.loss_cls: 0.1612, decode.d6.loss_mask: 0.4346, decode.d6.loss_dice: 0.6464, decode.d7.loss_cls: 0.1587, decode.d7.loss_mask: 0.4336, decode.d7.loss_dice: 0.6431, decode.d8.loss_cls: 0.1629, decode.d8.loss_mask: 0.4335, decode.d8.loss_dice: 0.6438, loss: 13.7811, grad_norm: 67.4804 2023-11-22 20:28:49,079 - mmseg - INFO - Iter [142700/160000] lr: 1.030e-06, eta: 2:48:55, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1660, decode.loss_mask: 0.4295, decode.loss_dice: 0.6708, decode.d0.loss_cls: 1.2695, decode.d0.loss_mask: 0.4675, decode.d0.loss_dice: 0.7480, decode.d1.loss_cls: 0.2355, decode.d1.loss_mask: 0.4473, decode.d1.loss_dice: 0.7029, decode.d2.loss_cls: 0.1885, decode.d2.loss_mask: 0.4407, decode.d2.loss_dice: 0.6878, decode.d3.loss_cls: 0.1806, decode.d3.loss_mask: 0.4339, decode.d3.loss_dice: 0.6730, decode.d4.loss_cls: 0.1741, decode.d4.loss_mask: 0.4328, decode.d4.loss_dice: 0.6730, decode.d5.loss_cls: 0.1685, decode.d5.loss_mask: 0.4324, decode.d5.loss_dice: 0.6761, decode.d6.loss_cls: 0.1697, decode.d6.loss_mask: 0.4325, decode.d6.loss_dice: 0.6695, decode.d7.loss_cls: 0.1619, decode.d7.loss_mask: 0.4315, decode.d7.loss_dice: 0.6666, decode.d8.loss_cls: 0.1594, decode.d8.loss_mask: 0.4308, decode.d8.loss_dice: 0.6686, loss: 14.0887, grad_norm: 65.3508 2023-11-22 20:29:19,568 - mmseg - INFO - Iter [142750/160000] lr: 1.027e-06, eta: 2:48:26, time: 0.610, data_time: 0.059, memory: 38143, decode.loss_cls: 0.1634, decode.loss_mask: 0.4297, decode.loss_dice: 0.6416, decode.d0.loss_cls: 1.2496, decode.d0.loss_mask: 0.4627, decode.d0.loss_dice: 0.7136, decode.d1.loss_cls: 0.2392, decode.d1.loss_mask: 0.4446, decode.d1.loss_dice: 0.6767, decode.d2.loss_cls: 0.1995, decode.d2.loss_mask: 0.4371, decode.d2.loss_dice: 0.6600, decode.d3.loss_cls: 0.1870, decode.d3.loss_mask: 0.4337, decode.d3.loss_dice: 0.6493, decode.d4.loss_cls: 0.1781, decode.d4.loss_mask: 0.4325, decode.d4.loss_dice: 0.6503, decode.d5.loss_cls: 0.1727, decode.d5.loss_mask: 0.4327, decode.d5.loss_dice: 0.6526, decode.d6.loss_cls: 0.1682, decode.d6.loss_mask: 0.4303, decode.d6.loss_dice: 0.6457, decode.d7.loss_cls: 0.1702, decode.d7.loss_mask: 0.4291, decode.d7.loss_dice: 0.6460, decode.d8.loss_cls: 0.1687, decode.d8.loss_mask: 0.4282, decode.d8.loss_dice: 0.6451, loss: 13.8382, grad_norm: 70.2397 2023-11-22 20:29:47,760 - mmseg - INFO - Iter [142800/160000] lr: 1.024e-06, eta: 2:47:56, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1553, decode.loss_mask: 0.4285, decode.loss_dice: 0.6555, decode.d0.loss_cls: 1.2276, decode.d0.loss_mask: 0.4596, decode.d0.loss_dice: 0.7216, decode.d1.loss_cls: 0.2277, decode.d1.loss_mask: 0.4405, decode.d1.loss_dice: 0.6883, decode.d2.loss_cls: 0.1893, decode.d2.loss_mask: 0.4351, decode.d2.loss_dice: 0.6743, decode.d3.loss_cls: 0.1723, decode.d3.loss_mask: 0.4327, decode.d3.loss_dice: 0.6609, decode.d4.loss_cls: 0.1644, decode.d4.loss_mask: 0.4319, decode.d4.loss_dice: 0.6591, decode.d5.loss_cls: 0.1636, decode.d5.loss_mask: 0.4311, decode.d5.loss_dice: 0.6584, decode.d6.loss_cls: 0.1584, decode.d6.loss_mask: 0.4299, decode.d6.loss_dice: 0.6579, decode.d7.loss_cls: 0.1550, decode.d7.loss_mask: 0.4291, decode.d7.loss_dice: 0.6590, decode.d8.loss_cls: 0.1537, decode.d8.loss_mask: 0.4305, decode.d8.loss_dice: 0.6599, loss: 13.8112, grad_norm: 64.3849 2023-11-22 20:30:16,100 - mmseg - INFO - Iter [142850/160000] lr: 1.021e-06, eta: 2:47:27, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1538, decode.loss_mask: 0.4191, decode.loss_dice: 0.6489, decode.d0.loss_cls: 1.2095, decode.d0.loss_mask: 0.4515, decode.d0.loss_dice: 0.7193, decode.d1.loss_cls: 0.2136, decode.d1.loss_mask: 0.4348, decode.d1.loss_dice: 0.6841, decode.d2.loss_cls: 0.1836, decode.d2.loss_mask: 0.4272, decode.d2.loss_dice: 0.6675, decode.d3.loss_cls: 0.1689, decode.d3.loss_mask: 0.4235, decode.d3.loss_dice: 0.6547, decode.d4.loss_cls: 0.1656, decode.d4.loss_mask: 0.4226, decode.d4.loss_dice: 0.6538, decode.d5.loss_cls: 0.1604, decode.d5.loss_mask: 0.4209, decode.d5.loss_dice: 0.6560, decode.d6.loss_cls: 0.1564, decode.d6.loss_mask: 0.4199, decode.d6.loss_dice: 0.6494, decode.d7.loss_cls: 0.1553, decode.d7.loss_mask: 0.4190, decode.d7.loss_dice: 0.6526, decode.d8.loss_cls: 0.1523, decode.d8.loss_mask: 0.4188, decode.d8.loss_dice: 0.6528, loss: 13.6159, grad_norm: 61.8021 2023-11-22 20:30:44,501 - mmseg - INFO - Iter [142900/160000] lr: 1.018e-06, eta: 2:46:57, time: 0.568, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1398, decode.loss_mask: 0.4479, decode.loss_dice: 0.6588, decode.d0.loss_cls: 1.2295, decode.d0.loss_mask: 0.4788, decode.d0.loss_dice: 0.7215, decode.d1.loss_cls: 0.2155, decode.d1.loss_mask: 0.4633, decode.d1.loss_dice: 0.6962, decode.d2.loss_cls: 0.1721, decode.d2.loss_mask: 0.4537, decode.d2.loss_dice: 0.6764, decode.d3.loss_cls: 0.1559, decode.d3.loss_mask: 0.4482, decode.d3.loss_dice: 0.6625, decode.d4.loss_cls: 0.1482, decode.d4.loss_mask: 0.4481, decode.d4.loss_dice: 0.6615, decode.d5.loss_cls: 0.1459, decode.d5.loss_mask: 0.4479, decode.d5.loss_dice: 0.6644, decode.d6.loss_cls: 0.1453, decode.d6.loss_mask: 0.4479, decode.d6.loss_dice: 0.6617, decode.d7.loss_cls: 0.1421, decode.d7.loss_mask: 0.4480, decode.d7.loss_dice: 0.6620, decode.d8.loss_cls: 0.1428, decode.d8.loss_mask: 0.4466, decode.d8.loss_dice: 0.6581, loss: 13.8904, grad_norm: 67.7504 2023-11-22 20:31:12,859 - mmseg - INFO - Iter [142950/160000] lr: 1.015e-06, eta: 2:46:28, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1619, decode.loss_mask: 0.4273, decode.loss_dice: 0.6569, decode.d0.loss_cls: 1.2635, decode.d0.loss_mask: 0.4586, decode.d0.loss_dice: 0.7320, decode.d1.loss_cls: 0.2435, decode.d1.loss_mask: 0.4403, decode.d1.loss_dice: 0.6875, decode.d2.loss_cls: 0.1961, decode.d2.loss_mask: 0.4328, decode.d2.loss_dice: 0.6717, decode.d3.loss_cls: 0.1789, decode.d3.loss_mask: 0.4305, decode.d3.loss_dice: 0.6626, decode.d4.loss_cls: 0.1754, decode.d4.loss_mask: 0.4294, decode.d4.loss_dice: 0.6580, decode.d5.loss_cls: 0.1715, decode.d5.loss_mask: 0.4292, decode.d5.loss_dice: 0.6560, decode.d6.loss_cls: 0.1687, decode.d6.loss_mask: 0.4273, decode.d6.loss_dice: 0.6593, decode.d7.loss_cls: 0.1657, decode.d7.loss_mask: 0.4275, decode.d7.loss_dice: 0.6562, decode.d8.loss_cls: 0.1634, decode.d8.loss_mask: 0.4276, decode.d8.loss_dice: 0.6581, loss: 13.9177, grad_norm: 61.5769 2023-11-22 20:31:41,279 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 20:31:41,279 - mmseg - INFO - Iter [143000/160000] lr: 1.012e-06, eta: 2:45:59, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1566, decode.loss_mask: 0.4195, decode.loss_dice: 0.6607, decode.d0.loss_cls: 1.2497, decode.d0.loss_mask: 0.4536, decode.d0.loss_dice: 0.7253, decode.d1.loss_cls: 0.2295, decode.d1.loss_mask: 0.4352, decode.d1.loss_dice: 0.6887, decode.d2.loss_cls: 0.1877, decode.d2.loss_mask: 0.4271, decode.d2.loss_dice: 0.6700, decode.d3.loss_cls: 0.1724, decode.d3.loss_mask: 0.4237, decode.d3.loss_dice: 0.6634, decode.d4.loss_cls: 0.1662, decode.d4.loss_mask: 0.4233, decode.d4.loss_dice: 0.6620, decode.d5.loss_cls: 0.1616, decode.d5.loss_mask: 0.4222, decode.d5.loss_dice: 0.6623, decode.d6.loss_cls: 0.1598, decode.d6.loss_mask: 0.4202, decode.d6.loss_dice: 0.6581, decode.d7.loss_cls: 0.1585, decode.d7.loss_mask: 0.4198, decode.d7.loss_dice: 0.6578, decode.d8.loss_cls: 0.1570, decode.d8.loss_mask: 0.4191, decode.d8.loss_dice: 0.6567, loss: 13.7678, grad_norm: 63.7973 2023-11-22 20:32:09,637 - mmseg - INFO - Iter [143050/160000] lr: 1.009e-06, eta: 2:45:29, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1622, decode.loss_mask: 0.4242, decode.loss_dice: 0.6755, decode.d0.loss_cls: 1.3015, decode.d0.loss_mask: 0.4586, decode.d0.loss_dice: 0.7523, decode.d1.loss_cls: 0.2602, decode.d1.loss_mask: 0.4405, decode.d1.loss_dice: 0.7040, decode.d2.loss_cls: 0.1972, decode.d2.loss_mask: 0.4353, decode.d2.loss_dice: 0.6928, decode.d3.loss_cls: 0.1842, decode.d3.loss_mask: 0.4276, decode.d3.loss_dice: 0.6750, decode.d4.loss_cls: 0.1716, decode.d4.loss_mask: 0.4259, decode.d4.loss_dice: 0.6753, decode.d5.loss_cls: 0.1720, decode.d5.loss_mask: 0.4253, decode.d5.loss_dice: 0.6785, decode.d6.loss_cls: 0.1672, decode.d6.loss_mask: 0.4248, decode.d6.loss_dice: 0.6759, decode.d7.loss_cls: 0.1628, decode.d7.loss_mask: 0.4249, decode.d7.loss_dice: 0.6765, decode.d8.loss_cls: 0.1653, decode.d8.loss_mask: 0.4252, decode.d8.loss_dice: 0.6768, loss: 14.1391, grad_norm: 66.0914 2023-11-22 20:32:37,832 - mmseg - INFO - Iter [143100/160000] lr: 1.006e-06, eta: 2:45:00, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1726, decode.loss_mask: 0.4425, decode.loss_dice: 0.6718, decode.d0.loss_cls: 1.2515, decode.d0.loss_mask: 0.4760, decode.d0.loss_dice: 0.7452, decode.d1.loss_cls: 0.2549, decode.d1.loss_mask: 0.4600, decode.d1.loss_dice: 0.6998, decode.d2.loss_cls: 0.2079, decode.d2.loss_mask: 0.4508, decode.d2.loss_dice: 0.6901, decode.d3.loss_cls: 0.1962, decode.d3.loss_mask: 0.4468, decode.d3.loss_dice: 0.6771, decode.d4.loss_cls: 0.1889, decode.d4.loss_mask: 0.4450, decode.d4.loss_dice: 0.6741, decode.d5.loss_cls: 0.1821, decode.d5.loss_mask: 0.4455, decode.d5.loss_dice: 0.6765, decode.d6.loss_cls: 0.1744, decode.d6.loss_mask: 0.4442, decode.d6.loss_dice: 0.6749, decode.d7.loss_cls: 0.1739, decode.d7.loss_mask: 0.4443, decode.d7.loss_dice: 0.6747, decode.d8.loss_cls: 0.1726, decode.d8.loss_mask: 0.4431, decode.d8.loss_dice: 0.6704, loss: 14.3277, grad_norm: 69.2855 2023-11-22 20:33:06,009 - mmseg - INFO - Iter [143150/160000] lr: 1.003e-06, eta: 2:44:30, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1671, decode.loss_mask: 0.4145, decode.loss_dice: 0.6446, decode.d0.loss_cls: 1.2508, decode.d0.loss_mask: 0.4443, decode.d0.loss_dice: 0.7149, decode.d1.loss_cls: 0.2543, decode.d1.loss_mask: 0.4312, decode.d1.loss_dice: 0.6722, decode.d2.loss_cls: 0.2032, decode.d2.loss_mask: 0.4228, decode.d2.loss_dice: 0.6660, decode.d3.loss_cls: 0.1910, decode.d3.loss_mask: 0.4176, decode.d3.loss_dice: 0.6486, decode.d4.loss_cls: 0.1835, decode.d4.loss_mask: 0.4163, decode.d4.loss_dice: 0.6456, decode.d5.loss_cls: 0.1799, decode.d5.loss_mask: 0.4159, decode.d5.loss_dice: 0.6493, decode.d6.loss_cls: 0.1787, decode.d6.loss_mask: 0.4155, decode.d6.loss_dice: 0.6471, decode.d7.loss_cls: 0.1726, decode.d7.loss_mask: 0.4147, decode.d7.loss_dice: 0.6439, decode.d8.loss_cls: 0.1717, decode.d8.loss_mask: 0.4148, decode.d8.loss_dice: 0.6484, loss: 13.7411, grad_norm: 61.5711 2023-11-22 20:33:34,421 - mmseg - INFO - Iter [143200/160000] lr: 1.000e-06, eta: 2:44:01, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1565, decode.loss_mask: 0.4217, decode.loss_dice: 0.6433, decode.d0.loss_cls: 1.2451, decode.d0.loss_mask: 0.4590, decode.d0.loss_dice: 0.7204, decode.d1.loss_cls: 0.2352, decode.d1.loss_mask: 0.4364, decode.d1.loss_dice: 0.6823, decode.d2.loss_cls: 0.1904, decode.d2.loss_mask: 0.4288, decode.d2.loss_dice: 0.6650, decode.d3.loss_cls: 0.1733, decode.d3.loss_mask: 0.4232, decode.d3.loss_dice: 0.6501, decode.d4.loss_cls: 0.1639, decode.d4.loss_mask: 0.4232, decode.d4.loss_dice: 0.6512, decode.d5.loss_cls: 0.1598, decode.d5.loss_mask: 0.4232, decode.d5.loss_dice: 0.6503, decode.d6.loss_cls: 0.1584, decode.d6.loss_mask: 0.4229, decode.d6.loss_dice: 0.6516, decode.d7.loss_cls: 0.1560, decode.d7.loss_mask: 0.4226, decode.d7.loss_dice: 0.6477, decode.d8.loss_cls: 0.1576, decode.d8.loss_mask: 0.4222, decode.d8.loss_dice: 0.6465, loss: 13.6877, grad_norm: 58.3779 2023-11-22 20:34:02,899 - mmseg - INFO - Iter [143250/160000] lr: 9.972e-07, eta: 2:43:32, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1579, decode.loss_mask: 0.4293, decode.loss_dice: 0.6512, decode.d0.loss_cls: 1.2617, decode.d0.loss_mask: 0.4590, decode.d0.loss_dice: 0.7201, decode.d1.loss_cls: 0.2322, decode.d1.loss_mask: 0.4453, decode.d1.loss_dice: 0.6798, decode.d2.loss_cls: 0.1943, decode.d2.loss_mask: 0.4364, decode.d2.loss_dice: 0.6658, decode.d3.loss_cls: 0.1785, decode.d3.loss_mask: 0.4321, decode.d3.loss_dice: 0.6521, decode.d4.loss_cls: 0.1702, decode.d4.loss_mask: 0.4324, decode.d4.loss_dice: 0.6519, decode.d5.loss_cls: 0.1686, decode.d5.loss_mask: 0.4320, decode.d5.loss_dice: 0.6521, decode.d6.loss_cls: 0.1646, decode.d6.loss_mask: 0.4305, decode.d6.loss_dice: 0.6497, decode.d7.loss_cls: 0.1568, decode.d7.loss_mask: 0.4305, decode.d7.loss_dice: 0.6498, decode.d8.loss_cls: 0.1575, decode.d8.loss_mask: 0.4298, decode.d8.loss_dice: 0.6551, loss: 13.8271, grad_norm: 61.6490 2023-11-22 20:34:31,277 - mmseg - INFO - Iter [143300/160000] lr: 9.942e-07, eta: 2:43:02, time: 0.568, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1668, decode.loss_mask: 0.4482, decode.loss_dice: 0.6623, decode.d0.loss_cls: 1.2530, decode.d0.loss_mask: 0.4795, decode.d0.loss_dice: 0.7337, decode.d1.loss_cls: 0.2435, decode.d1.loss_mask: 0.4645, decode.d1.loss_dice: 0.6986, decode.d2.loss_cls: 0.2038, decode.d2.loss_mask: 0.4571, decode.d2.loss_dice: 0.6835, decode.d3.loss_cls: 0.1878, decode.d3.loss_mask: 0.4527, decode.d3.loss_dice: 0.6688, decode.d4.loss_cls: 0.1778, decode.d4.loss_mask: 0.4528, decode.d4.loss_dice: 0.6688, decode.d5.loss_cls: 0.1714, decode.d5.loss_mask: 0.4506, decode.d5.loss_dice: 0.6690, decode.d6.loss_cls: 0.1731, decode.d6.loss_mask: 0.4495, decode.d6.loss_dice: 0.6650, decode.d7.loss_cls: 0.1671, decode.d7.loss_mask: 0.4508, decode.d7.loss_dice: 0.6679, decode.d8.loss_cls: 0.1698, decode.d8.loss_mask: 0.4490, decode.d8.loss_dice: 0.6634, loss: 14.2495, grad_norm: 70.1039 2023-11-22 20:34:59,407 - mmseg - INFO - Iter [143350/160000] lr: 9.912e-07, eta: 2:42:33, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1595, decode.loss_mask: 0.4205, decode.loss_dice: 0.6494, decode.d0.loss_cls: 1.2499, decode.d0.loss_mask: 0.4528, decode.d0.loss_dice: 0.7191, decode.d1.loss_cls: 0.2467, decode.d1.loss_mask: 0.4352, decode.d1.loss_dice: 0.6849, decode.d2.loss_cls: 0.2030, decode.d2.loss_mask: 0.4292, decode.d2.loss_dice: 0.6680, decode.d3.loss_cls: 0.1853, decode.d3.loss_mask: 0.4229, decode.d3.loss_dice: 0.6504, decode.d4.loss_cls: 0.1785, decode.d4.loss_mask: 0.4220, decode.d4.loss_dice: 0.6552, decode.d5.loss_cls: 0.1733, decode.d5.loss_mask: 0.4220, decode.d5.loss_dice: 0.6532, decode.d6.loss_cls: 0.1741, decode.d6.loss_mask: 0.4208, decode.d6.loss_dice: 0.6472, decode.d7.loss_cls: 0.1651, decode.d7.loss_mask: 0.4203, decode.d7.loss_dice: 0.6469, decode.d8.loss_cls: 0.1648, decode.d8.loss_mask: 0.4204, decode.d8.loss_dice: 0.6477, loss: 13.7884, grad_norm: 64.7980 2023-11-22 20:35:27,686 - mmseg - INFO - Iter [143400/160000] lr: 9.883e-07, eta: 2:42:03, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1670, decode.loss_mask: 0.4338, decode.loss_dice: 0.6524, decode.d0.loss_cls: 1.2513, decode.d0.loss_mask: 0.4665, decode.d0.loss_dice: 0.7174, decode.d1.loss_cls: 0.2496, decode.d1.loss_mask: 0.4517, decode.d1.loss_dice: 0.6814, decode.d2.loss_cls: 0.2087, decode.d2.loss_mask: 0.4428, decode.d2.loss_dice: 0.6673, decode.d3.loss_cls: 0.1892, decode.d3.loss_mask: 0.4386, decode.d3.loss_dice: 0.6589, decode.d4.loss_cls: 0.1796, decode.d4.loss_mask: 0.4374, decode.d4.loss_dice: 0.6538, decode.d5.loss_cls: 0.1749, decode.d5.loss_mask: 0.4371, decode.d5.loss_dice: 0.6559, decode.d6.loss_cls: 0.1739, decode.d6.loss_mask: 0.4347, decode.d6.loss_dice: 0.6505, decode.d7.loss_cls: 0.1680, decode.d7.loss_mask: 0.4342, decode.d7.loss_dice: 0.6506, decode.d8.loss_cls: 0.1698, decode.d8.loss_mask: 0.4335, decode.d8.loss_dice: 0.6536, loss: 13.9842, grad_norm: 63.0733 2023-11-22 20:35:55,956 - mmseg - INFO - Iter [143450/160000] lr: 9.853e-07, eta: 2:41:34, time: 0.568, data_time: 0.016, memory: 38143, decode.loss_cls: 0.1647, decode.loss_mask: 0.4318, decode.loss_dice: 0.6448, decode.d0.loss_cls: 1.2614, decode.d0.loss_mask: 0.4657, decode.d0.loss_dice: 0.7122, decode.d1.loss_cls: 0.2404, decode.d1.loss_mask: 0.4460, decode.d1.loss_dice: 0.6753, decode.d2.loss_cls: 0.2028, decode.d2.loss_mask: 0.4364, decode.d2.loss_dice: 0.6628, decode.d3.loss_cls: 0.1876, decode.d3.loss_mask: 0.4341, decode.d3.loss_dice: 0.6497, decode.d4.loss_cls: 0.1758, decode.d4.loss_mask: 0.4350, decode.d4.loss_dice: 0.6545, decode.d5.loss_cls: 0.1727, decode.d5.loss_mask: 0.4333, decode.d5.loss_dice: 0.6493, decode.d6.loss_cls: 0.1718, decode.d6.loss_mask: 0.4329, decode.d6.loss_dice: 0.6454, decode.d7.loss_cls: 0.1695, decode.d7.loss_mask: 0.4327, decode.d7.loss_dice: 0.6426, decode.d8.loss_cls: 0.1645, decode.d8.loss_mask: 0.4321, decode.d8.loss_dice: 0.6451, loss: 13.8728, grad_norm: 64.1762 2023-11-22 20:36:24,315 - mmseg - INFO - Iter [143500/160000] lr: 9.823e-07, eta: 2:41:04, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1556, decode.loss_mask: 0.4287, decode.loss_dice: 0.6650, decode.d0.loss_cls: 1.2214, decode.d0.loss_mask: 0.4653, decode.d0.loss_dice: 0.7316, decode.d1.loss_cls: 0.2316, decode.d1.loss_mask: 0.4471, decode.d1.loss_dice: 0.6936, decode.d2.loss_cls: 0.1894, decode.d2.loss_mask: 0.4380, decode.d2.loss_dice: 0.6835, decode.d3.loss_cls: 0.1715, decode.d3.loss_mask: 0.4349, decode.d3.loss_dice: 0.6685, decode.d4.loss_cls: 0.1641, decode.d4.loss_mask: 0.4341, decode.d4.loss_dice: 0.6692, decode.d5.loss_cls: 0.1619, decode.d5.loss_mask: 0.4312, decode.d5.loss_dice: 0.6667, decode.d6.loss_cls: 0.1591, decode.d6.loss_mask: 0.4293, decode.d6.loss_dice: 0.6647, decode.d7.loss_cls: 0.1575, decode.d7.loss_mask: 0.4298, decode.d7.loss_dice: 0.6619, decode.d8.loss_cls: 0.1544, decode.d8.loss_mask: 0.4296, decode.d8.loss_dice: 0.6633, loss: 13.9026, grad_norm: 66.1219 2023-11-22 20:36:52,691 - mmseg - INFO - Iter [143550/160000] lr: 9.793e-07, eta: 2:40:35, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1727, decode.loss_mask: 0.4316, decode.loss_dice: 0.6574, decode.d0.loss_cls: 1.2546, decode.d0.loss_mask: 0.4681, decode.d0.loss_dice: 0.7333, decode.d1.loss_cls: 0.2441, decode.d1.loss_mask: 0.4483, decode.d1.loss_dice: 0.6913, decode.d2.loss_cls: 0.2105, decode.d2.loss_mask: 0.4415, decode.d2.loss_dice: 0.6759, decode.d3.loss_cls: 0.1957, decode.d3.loss_mask: 0.4367, decode.d3.loss_dice: 0.6603, decode.d4.loss_cls: 0.1856, decode.d4.loss_mask: 0.4364, decode.d4.loss_dice: 0.6642, decode.d5.loss_cls: 0.1800, decode.d5.loss_mask: 0.4352, decode.d5.loss_dice: 0.6584, decode.d6.loss_cls: 0.1824, decode.d6.loss_mask: 0.4328, decode.d6.loss_dice: 0.6564, decode.d7.loss_cls: 0.1786, decode.d7.loss_mask: 0.4320, decode.d7.loss_dice: 0.6545, decode.d8.loss_cls: 0.1720, decode.d8.loss_mask: 0.4330, decode.d8.loss_dice: 0.6549, loss: 14.0786, grad_norm: 66.6241 2023-11-22 20:37:20,994 - mmseg - INFO - Iter [143600/160000] lr: 9.764e-07, eta: 2:40:06, time: 0.566, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1509, decode.loss_mask: 0.4089, decode.loss_dice: 0.6387, decode.d0.loss_cls: 1.2382, decode.d0.loss_mask: 0.4422, decode.d0.loss_dice: 0.7106, decode.d1.loss_cls: 0.2249, decode.d1.loss_mask: 0.4207, decode.d1.loss_dice: 0.6745, decode.d2.loss_cls: 0.1838, decode.d2.loss_mask: 0.4154, decode.d2.loss_dice: 0.6653, decode.d3.loss_cls: 0.1694, decode.d3.loss_mask: 0.4133, decode.d3.loss_dice: 0.6483, decode.d4.loss_cls: 0.1627, decode.d4.loss_mask: 0.4134, decode.d4.loss_dice: 0.6482, decode.d5.loss_cls: 0.1572, decode.d5.loss_mask: 0.4125, decode.d5.loss_dice: 0.6470, decode.d6.loss_cls: 0.1549, decode.d6.loss_mask: 0.4104, decode.d6.loss_dice: 0.6428, decode.d7.loss_cls: 0.1520, decode.d7.loss_mask: 0.4092, decode.d7.loss_dice: 0.6450, decode.d8.loss_cls: 0.1488, decode.d8.loss_mask: 0.4093, decode.d8.loss_dice: 0.6445, loss: 13.4630, grad_norm: 58.6725 2023-11-22 20:37:49,242 - mmseg - INFO - Iter [143650/160000] lr: 9.734e-07, eta: 2:39:36, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1752, decode.loss_mask: 0.4198, decode.loss_dice: 0.6662, decode.d0.loss_cls: 1.2675, decode.d0.loss_mask: 0.4503, decode.d0.loss_dice: 0.7371, decode.d1.loss_cls: 0.2606, decode.d1.loss_mask: 0.4328, decode.d1.loss_dice: 0.6979, decode.d2.loss_cls: 0.2179, decode.d2.loss_mask: 0.4248, decode.d2.loss_dice: 0.6849, decode.d3.loss_cls: 0.2036, decode.d3.loss_mask: 0.4217, decode.d3.loss_dice: 0.6698, decode.d4.loss_cls: 0.1881, decode.d4.loss_mask: 0.4229, decode.d4.loss_dice: 0.6711, decode.d5.loss_cls: 0.1902, decode.d5.loss_mask: 0.4207, decode.d5.loss_dice: 0.6692, decode.d6.loss_cls: 0.1827, decode.d6.loss_mask: 0.4198, decode.d6.loss_dice: 0.6658, decode.d7.loss_cls: 0.1766, decode.d7.loss_mask: 0.4208, decode.d7.loss_dice: 0.6660, decode.d8.loss_cls: 0.1758, decode.d8.loss_mask: 0.4186, decode.d8.loss_dice: 0.6697, loss: 14.0878, grad_norm: 64.9041 2023-11-22 20:38:17,484 - mmseg - INFO - Iter [143700/160000] lr: 9.704e-07, eta: 2:39:07, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1503, decode.loss_mask: 0.4210, decode.loss_dice: 0.6436, decode.d0.loss_cls: 1.2177, decode.d0.loss_mask: 0.4530, decode.d0.loss_dice: 0.7224, decode.d1.loss_cls: 0.2262, decode.d1.loss_mask: 0.4396, decode.d1.loss_dice: 0.6846, decode.d2.loss_cls: 0.1875, decode.d2.loss_mask: 0.4296, decode.d2.loss_dice: 0.6658, decode.d3.loss_cls: 0.1677, decode.d3.loss_mask: 0.4256, decode.d3.loss_dice: 0.6582, decode.d4.loss_cls: 0.1614, decode.d4.loss_mask: 0.4248, decode.d4.loss_dice: 0.6540, decode.d5.loss_cls: 0.1565, decode.d5.loss_mask: 0.4245, decode.d5.loss_dice: 0.6527, decode.d6.loss_cls: 0.1539, decode.d6.loss_mask: 0.4232, decode.d6.loss_dice: 0.6494, decode.d7.loss_cls: 0.1540, decode.d7.loss_mask: 0.4228, decode.d7.loss_dice: 0.6498, decode.d8.loss_cls: 0.1538, decode.d8.loss_mask: 0.4209, decode.d8.loss_dice: 0.6507, loss: 13.6452, grad_norm: 63.0349 2023-11-22 20:38:45,560 - mmseg - INFO - Iter [143750/160000] lr: 9.674e-07, eta: 2:38:37, time: 0.562, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1548, decode.loss_mask: 0.4250, decode.loss_dice: 0.6620, decode.d0.loss_cls: 1.2329, decode.d0.loss_mask: 0.4556, decode.d0.loss_dice: 0.7326, decode.d1.loss_cls: 0.2286, decode.d1.loss_mask: 0.4397, decode.d1.loss_dice: 0.6934, decode.d2.loss_cls: 0.1838, decode.d2.loss_mask: 0.4308, decode.d2.loss_dice: 0.6750, decode.d3.loss_cls: 0.1712, decode.d3.loss_mask: 0.4294, decode.d3.loss_dice: 0.6644, decode.d4.loss_cls: 0.1667, decode.d4.loss_mask: 0.4284, decode.d4.loss_dice: 0.6642, decode.d5.loss_cls: 0.1637, decode.d5.loss_mask: 0.4280, decode.d5.loss_dice: 0.6641, decode.d6.loss_cls: 0.1630, decode.d6.loss_mask: 0.4254, decode.d6.loss_dice: 0.6613, decode.d7.loss_cls: 0.1571, decode.d7.loss_mask: 0.4249, decode.d7.loss_dice: 0.6618, decode.d8.loss_cls: 0.1564, decode.d8.loss_mask: 0.4255, decode.d8.loss_dice: 0.6627, loss: 13.8324, grad_norm: 65.0643 2023-11-22 20:39:13,863 - mmseg - INFO - Iter [143800/160000] lr: 9.645e-07, eta: 2:38:08, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1572, decode.loss_mask: 0.4181, decode.loss_dice: 0.6457, decode.d0.loss_cls: 1.2486, decode.d0.loss_mask: 0.4532, decode.d0.loss_dice: 0.7056, decode.d1.loss_cls: 0.2193, decode.d1.loss_mask: 0.4349, decode.d1.loss_dice: 0.6787, decode.d2.loss_cls: 0.1850, decode.d2.loss_mask: 0.4282, decode.d2.loss_dice: 0.6628, decode.d3.loss_cls: 0.1752, decode.d3.loss_mask: 0.4225, decode.d3.loss_dice: 0.6506, decode.d4.loss_cls: 0.1672, decode.d4.loss_mask: 0.4199, decode.d4.loss_dice: 0.6507, decode.d5.loss_cls: 0.1627, decode.d5.loss_mask: 0.4202, decode.d5.loss_dice: 0.6478, decode.d6.loss_cls: 0.1586, decode.d6.loss_mask: 0.4199, decode.d6.loss_dice: 0.6514, decode.d7.loss_cls: 0.1529, decode.d7.loss_mask: 0.4193, decode.d7.loss_dice: 0.6453, decode.d8.loss_cls: 0.1575, decode.d8.loss_mask: 0.4188, decode.d8.loss_dice: 0.6439, loss: 13.6218, grad_norm: 61.5077 2023-11-22 20:39:42,212 - mmseg - INFO - Iter [143850/160000] lr: 9.615e-07, eta: 2:37:39, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1624, decode.loss_mask: 0.4459, decode.loss_dice: 0.6707, decode.d0.loss_cls: 1.2307, decode.d0.loss_mask: 0.4788, decode.d0.loss_dice: 0.7429, decode.d1.loss_cls: 0.2432, decode.d1.loss_mask: 0.4608, decode.d1.loss_dice: 0.7063, decode.d2.loss_cls: 0.2000, decode.d2.loss_mask: 0.4564, decode.d2.loss_dice: 0.6903, decode.d3.loss_cls: 0.1824, decode.d3.loss_mask: 0.4494, decode.d3.loss_dice: 0.6769, decode.d4.loss_cls: 0.1736, decode.d4.loss_mask: 0.4474, decode.d4.loss_dice: 0.6775, decode.d5.loss_cls: 0.1690, decode.d5.loss_mask: 0.4470, decode.d5.loss_dice: 0.6752, decode.d6.loss_cls: 0.1648, decode.d6.loss_mask: 0.4467, decode.d6.loss_dice: 0.6749, decode.d7.loss_cls: 0.1606, decode.d7.loss_mask: 0.4465, decode.d7.loss_dice: 0.6747, decode.d8.loss_cls: 0.1647, decode.d8.loss_mask: 0.4460, decode.d8.loss_dice: 0.6713, loss: 14.2369, grad_norm: 68.6971 2023-11-22 20:40:10,788 - mmseg - INFO - Iter [143900/160000] lr: 9.585e-07, eta: 2:37:09, time: 0.571, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1459, decode.loss_mask: 0.4336, decode.loss_dice: 0.6495, decode.d0.loss_cls: 1.2568, decode.d0.loss_mask: 0.4720, decode.d0.loss_dice: 0.7228, decode.d1.loss_cls: 0.2276, decode.d1.loss_mask: 0.4519, decode.d1.loss_dice: 0.6836, decode.d2.loss_cls: 0.1816, decode.d2.loss_mask: 0.4412, decode.d2.loss_dice: 0.6633, decode.d3.loss_cls: 0.1629, decode.d3.loss_mask: 0.4365, decode.d3.loss_dice: 0.6545, decode.d4.loss_cls: 0.1543, decode.d4.loss_mask: 0.4372, decode.d4.loss_dice: 0.6511, decode.d5.loss_cls: 0.1513, decode.d5.loss_mask: 0.4342, decode.d5.loss_dice: 0.6541, decode.d6.loss_cls: 0.1501, decode.d6.loss_mask: 0.4334, decode.d6.loss_dice: 0.6502, decode.d7.loss_cls: 0.1460, decode.d7.loss_mask: 0.4341, decode.d7.loss_dice: 0.6487, decode.d8.loss_cls: 0.1474, decode.d8.loss_mask: 0.4335, decode.d8.loss_dice: 0.6517, loss: 13.7609, grad_norm: 62.0645 2023-11-22 20:40:39,062 - mmseg - INFO - Iter [143950/160000] lr: 9.555e-07, eta: 2:36:40, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1620, decode.loss_mask: 0.4407, decode.loss_dice: 0.6666, decode.d0.loss_cls: 1.2551, decode.d0.loss_mask: 0.4733, decode.d0.loss_dice: 0.7371, decode.d1.loss_cls: 0.2424, decode.d1.loss_mask: 0.4555, decode.d1.loss_dice: 0.7004, decode.d2.loss_cls: 0.1988, decode.d2.loss_mask: 0.4476, decode.d2.loss_dice: 0.6829, decode.d3.loss_cls: 0.1768, decode.d3.loss_mask: 0.4423, decode.d3.loss_dice: 0.6709, decode.d4.loss_cls: 0.1744, decode.d4.loss_mask: 0.4416, decode.d4.loss_dice: 0.6694, decode.d5.loss_cls: 0.1684, decode.d5.loss_mask: 0.4410, decode.d5.loss_dice: 0.6706, decode.d6.loss_cls: 0.1648, decode.d6.loss_mask: 0.4402, decode.d6.loss_dice: 0.6720, decode.d7.loss_cls: 0.1594, decode.d7.loss_mask: 0.4406, decode.d7.loss_dice: 0.6701, decode.d8.loss_cls: 0.1654, decode.d8.loss_mask: 0.4402, decode.d8.loss_dice: 0.6736, loss: 14.1440, grad_norm: 61.2776 2023-11-22 20:41:10,004 - mmseg - INFO - Saving checkpoint at 144000 iterations 2023-11-22 20:41:17,824 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 20:41:17,824 - mmseg - INFO - Iter [144000/160000] lr: 9.525e-07, eta: 2:36:12, time: 0.775, data_time: 0.061, memory: 38143, decode.loss_cls: 0.1746, decode.loss_mask: 0.4434, decode.loss_dice: 0.6686, decode.d0.loss_cls: 1.2651, decode.d0.loss_mask: 0.4772, decode.d0.loss_dice: 0.7338, decode.d1.loss_cls: 0.2501, decode.d1.loss_mask: 0.4562, decode.d1.loss_dice: 0.7007, decode.d2.loss_cls: 0.2036, decode.d2.loss_mask: 0.4485, decode.d2.loss_dice: 0.6858, decode.d3.loss_cls: 0.1869, decode.d3.loss_mask: 0.4434, decode.d3.loss_dice: 0.6721, decode.d4.loss_cls: 0.1822, decode.d4.loss_mask: 0.4439, decode.d4.loss_dice: 0.6694, decode.d5.loss_cls: 0.1777, decode.d5.loss_mask: 0.4435, decode.d5.loss_dice: 0.6721, decode.d6.loss_cls: 0.1781, decode.d6.loss_mask: 0.4421, decode.d6.loss_dice: 0.6618, decode.d7.loss_cls: 0.1780, decode.d7.loss_mask: 0.4422, decode.d7.loss_dice: 0.6624, decode.d8.loss_cls: 0.1732, decode.d8.loss_mask: 0.4430, decode.d8.loss_dice: 0.6655, loss: 14.2454, grad_norm: 68.1933 2023-11-22 20:41:37,359 - mmseg - INFO - per class results: 2023-11-22 20:41:37,364 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.78 | 88.13 | | building | 84.22 | 91.52 | | sky | 95.06 | 97.77 | | floor | 84.11 | 91.47 | | tree | 76.41 | 88.58 | | ceiling | 85.8 | 92.36 | | road | 86.29 | 92.51 | | bed | 91.88 | 96.25 | | windowpane | 64.89 | 82.33 | | grass | 69.62 | 82.02 | | cabinet | 66.29 | 79.22 | | sidewalk | 69.58 | 80.83 | | person | 86.49 | 93.87 | | earth | 37.04 | 51.43 | | door | 55.3 | 70.51 | | table | 70.98 | 83.67 | | mountain | 54.11 | 68.39 | | plant | 55.26 | 67.34 | | curtain | 74.93 | 87.41 | | chair | 65.18 | 76.64 | | car | 88.1 | 93.98 | | water | 53.17 | 64.95 | | painting | 77.38 | 91.06 | | sofa | 75.81 | 90.58 | | shelf | 45.1 | 61.03 | | house | 46.69 | 74.92 | | sea | 56.82 | 84.25 | | mirror | 75.71 | 84.06 | | rug | 67.1 | 81.44 | | field | 38.38 | 64.77 | | armchair | 52.87 | 69.88 | | seat | 65.96 | 87.06 | | fence | 56.58 | 70.81 | | desk | 59.6 | 81.49 | | rock | 52.06 | 69.87 | | wardrobe | 57.6 | 71.59 | | lamp | 73.37 | 82.48 | | bathtub | 79.35 | 86.13 | | railing | 39.02 | 55.81 | | cushion | 66.48 | 75.61 | | base | 42.63 | 70.44 | | box | 32.83 | 41.88 | | column | 52.01 | 70.62 | | signboard | 41.0 | 58.89 | | chest of drawers | 37.93 | 63.26 | | counter | 47.86 | 55.81 | | sand | 35.94 | 51.53 | | sink | 78.59 | 86.04 | | skyscraper | 60.65 | 77.15 | | fireplace | 73.2 | 90.43 | | refrigerator | 77.57 | 83.57 | | grandstand | 45.33 | 77.3 | | path | 19.8 | 33.11 | | stairs | 37.65 | 42.66 | | runway | 74.03 | 95.05 | | case | 52.4 | 75.68 | | pool table | 94.39 | 97.92 | | pillow | 68.63 | 81.42 | | screen door | 77.8 | 84.14 | | stairway | 39.24 | 52.42 | | river | 9.88 | 22.21 | | bridge | 79.9 | 91.08 | | bookcase | 32.42 | 54.65 | | blind | 44.83 | 51.62 | | coffee table | 73.9 | 86.58 | | toilet | 91.51 | 94.08 | | flower | 41.85 | 61.98 | | book | 53.66 | 77.41 | | hill | 8.5 | 14.8 | | bench | 62.17 | 70.7 | | countertop | 64.21 | 80.26 | | stove | 87.06 | 90.62 | | palm | 55.06 | 81.57 | | kitchen island | 55.8 | 87.96 | | computer | 74.53 | 83.52 | | swivel chair | 44.34 | 64.89 | | boat | 36.83 | 57.48 | | bar | 68.44 | 75.96 | | arcade machine | 89.13 | 94.72 | | hovel | 46.07 | 49.39 | | bus | 84.72 | 97.36 | | towel | 77.77 | 89.74 | | light | 65.8 | 78.79 | | truck | 23.5 | 28.31 | | tower | 43.93 | 75.19 | | chandelier | 71.34 | 89.28 | | awning | 39.25 | 52.49 | | streetlight | 47.18 | 65.56 | | booth | 52.57 | 69.8 | | television receiver | 76.57 | 88.87 | | airplane | 68.83 | 75.04 | | dirt track | 12.32 | 15.75 | | apparel | 48.89 | 68.13 | | pole | 35.79 | 55.49 | | land | 3.6 | 6.77 | | bannister | 19.24 | 30.63 | | escalator | 52.67 | 70.04 | | ottoman | 58.25 | 76.84 | | bottle | 41.01 | 67.97 | | buffet | 48.18 | 66.18 | | poster | 28.89 | 43.15 | | stage | 23.83 | 48.57 | | van | 44.45 | 70.0 | | ship | 8.98 | 13.54 | | fountain | 21.52 | 21.91 | | conveyer belt | 73.67 | 95.11 | | canopy | 30.0 | 52.65 | | washer | 72.05 | 75.76 | | plaything | 53.67 | 71.68 | | swimming pool | 67.33 | 71.99 | | stool | 54.98 | 77.29 | | barrel | 57.9 | 98.38 | | basket | 45.46 | 58.3 | | waterfall | 78.28 | 89.3 | | tent | 89.77 | 98.17 | | bag | 27.94 | 37.11 | | minibike | 71.62 | 90.92 | | cradle | 90.59 | 97.75 | | oven | 25.21 | 70.41 | | ball | 60.52 | 70.75 | | food | 49.18 | 55.37 | | step | 25.13 | 33.73 | | tank | 63.03 | 66.11 | | trade name | 30.41 | 36.88 | | microwave | 42.07 | 45.83 | | pot | 55.05 | 68.16 | | animal | 57.66 | 58.98 | | bicycle | 62.85 | 81.67 | | lake | 54.03 | 63.6 | | dishwasher | 74.08 | 79.73 | | screen | 49.29 | 75.26 | | blanket | 37.16 | 53.86 | | sculpture | 69.62 | 89.25 | | hood | 73.96 | 78.16 | | sconce | 61.98 | 76.55 | | vase | 54.93 | 73.75 | | traffic light | 49.05 | 72.3 | | tray | 19.84 | 30.8 | | ashcan | 51.48 | 75.12 | | fan | 71.43 | 85.2 | | pier | 15.7 | 16.64 | | crt screen | 2.33 | 8.32 | | plate | 64.54 | 81.65 | | monitor | 9.68 | 12.61 | | bulletin board | 52.14 | 80.57 | | shower | 12.55 | 25.83 | | radiator | 69.6 | 84.59 | | glass | 24.15 | 26.92 | | clock | 56.75 | 69.11 | | flag | 73.09 | 84.04 | +---------------------+-------+-------+ 2023-11-22 20:41:37,364 - mmseg - INFO - Summary: 2023-11-22 20:41:37,364 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 85.1 | 55.48 | 69.31 | +------+-------+-------+ 2023-11-22 20:41:37,365 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 20:41:37,365 - mmseg - INFO - Iter(val) [250] aAcc: 0.8510, mIoU: 0.5548, mAcc: 0.6931, IoU.wall: 0.8078, IoU.building: 0.8422, IoU.sky: 0.9506, IoU.floor: 0.8411, IoU.tree: 0.7641, IoU.ceiling: 0.8580, IoU.road: 0.8629, IoU.bed : 0.9188, IoU.windowpane: 0.6489, IoU.grass: 0.6962, IoU.cabinet: 0.6629, IoU.sidewalk: 0.6958, IoU.person: 0.8649, IoU.earth: 0.3704, IoU.door: 0.5530, IoU.table: 0.7098, IoU.mountain: 0.5411, IoU.plant: 0.5526, IoU.curtain: 0.7493, IoU.chair: 0.6518, IoU.car: 0.8810, IoU.water: 0.5317, IoU.painting: 0.7738, IoU.sofa: 0.7581, IoU.shelf: 0.4510, IoU.house: 0.4669, IoU.sea: 0.5682, IoU.mirror: 0.7571, IoU.rug: 0.6710, IoU.field: 0.3838, IoU.armchair: 0.5287, IoU.seat: 0.6596, IoU.fence: 0.5658, IoU.desk: 0.5960, IoU.rock: 0.5206, IoU.wardrobe: 0.5760, IoU.lamp: 0.7337, IoU.bathtub: 0.7935, IoU.railing: 0.3902, IoU.cushion: 0.6648, IoU.base: 0.4263, IoU.box: 0.3283, IoU.column: 0.5201, IoU.signboard: 0.4100, IoU.chest of drawers: 0.3793, IoU.counter: 0.4786, IoU.sand: 0.3594, IoU.sink: 0.7859, IoU.skyscraper: 0.6065, IoU.fireplace: 0.7320, IoU.refrigerator: 0.7757, IoU.grandstand: 0.4533, IoU.path: 0.1980, IoU.stairs: 0.3765, IoU.runway: 0.7403, IoU.case: 0.5240, IoU.pool table: 0.9439, IoU.pillow: 0.6863, IoU.screen door: 0.7780, IoU.stairway: 0.3924, IoU.river: 0.0988, IoU.bridge: 0.7990, IoU.bookcase: 0.3242, IoU.blind: 0.4483, IoU.coffee table: 0.7390, IoU.toilet: 0.9151, IoU.flower: 0.4185, IoU.book: 0.5366, IoU.hill: 0.0850, IoU.bench: 0.6217, IoU.countertop: 0.6421, IoU.stove: 0.8706, IoU.palm: 0.5506, IoU.kitchen island: 0.5580, IoU.computer: 0.7453, IoU.swivel chair: 0.4434, IoU.boat: 0.3683, IoU.bar: 0.6844, IoU.arcade machine: 0.8913, IoU.hovel: 0.4607, IoU.bus: 0.8472, IoU.towel: 0.7777, IoU.light: 0.6580, IoU.truck: 0.2350, IoU.tower: 0.4393, IoU.chandelier: 0.7134, IoU.awning: 0.3925, IoU.streetlight: 0.4718, IoU.booth: 0.5257, IoU.television receiver: 0.7657, IoU.airplane: 0.6883, IoU.dirt track: 0.1232, IoU.apparel: 0.4889, IoU.pole: 0.3579, IoU.land: 0.0360, IoU.bannister: 0.1924, IoU.escalator: 0.5267, IoU.ottoman: 0.5825, IoU.bottle: 0.4101, IoU.buffet: 0.4818, IoU.poster: 0.2889, IoU.stage: 0.2383, IoU.van: 0.4445, IoU.ship: 0.0898, IoU.fountain: 0.2152, IoU.conveyer belt: 0.7367, IoU.canopy: 0.3000, IoU.washer: 0.7205, IoU.plaything: 0.5367, IoU.swimming pool: 0.6733, IoU.stool: 0.5498, IoU.barrel: 0.5790, IoU.basket: 0.4546, IoU.waterfall: 0.7828, IoU.tent: 0.8977, IoU.bag: 0.2794, IoU.minibike: 0.7162, IoU.cradle: 0.9059, IoU.oven: 0.2521, IoU.ball: 0.6052, IoU.food: 0.4918, IoU.step: 0.2513, IoU.tank: 0.6303, IoU.trade name: 0.3041, IoU.microwave: 0.4207, IoU.pot: 0.5505, IoU.animal: 0.5766, IoU.bicycle: 0.6285, IoU.lake: 0.5403, IoU.dishwasher: 0.7408, IoU.screen: 0.4929, IoU.blanket: 0.3716, IoU.sculpture: 0.6962, IoU.hood: 0.7396, IoU.sconce: 0.6198, IoU.vase: 0.5493, IoU.traffic light: 0.4905, IoU.tray: 0.1984, IoU.ashcan: 0.5148, IoU.fan: 0.7143, IoU.pier: 0.1570, IoU.crt screen: 0.0233, IoU.plate: 0.6454, IoU.monitor: 0.0968, IoU.bulletin board: 0.5214, IoU.shower: 0.1255, IoU.radiator: 0.6960, IoU.glass: 0.2415, IoU.clock: 0.5675, IoU.flag: 0.7309, Acc.wall: 0.8813, Acc.building: 0.9152, Acc.sky: 0.9777, Acc.floor: 0.9147, Acc.tree: 0.8858, Acc.ceiling: 0.9236, Acc.road: 0.9251, Acc.bed : 0.9625, Acc.windowpane: 0.8233, Acc.grass: 0.8202, Acc.cabinet: 0.7922, Acc.sidewalk: 0.8083, Acc.person: 0.9387, Acc.earth: 0.5143, Acc.door: 0.7051, Acc.table: 0.8367, Acc.mountain: 0.6839, Acc.plant: 0.6734, Acc.curtain: 0.8741, Acc.chair: 0.7664, Acc.car: 0.9398, Acc.water: 0.6495, Acc.painting: 0.9106, Acc.sofa: 0.9058, Acc.shelf: 0.6103, Acc.house: 0.7492, Acc.sea: 0.8425, Acc.mirror: 0.8406, Acc.rug: 0.8144, Acc.field: 0.6477, Acc.armchair: 0.6988, Acc.seat: 0.8706, Acc.fence: 0.7081, Acc.desk: 0.8149, Acc.rock: 0.6987, Acc.wardrobe: 0.7159, Acc.lamp: 0.8248, Acc.bathtub: 0.8613, Acc.railing: 0.5581, Acc.cushion: 0.7561, Acc.base: 0.7044, Acc.box: 0.4188, Acc.column: 0.7062, Acc.signboard: 0.5889, Acc.chest of drawers: 0.6326, Acc.counter: 0.5581, Acc.sand: 0.5153, Acc.sink: 0.8604, Acc.skyscraper: 0.7715, Acc.fireplace: 0.9043, Acc.refrigerator: 0.8357, Acc.grandstand: 0.7730, Acc.path: 0.3311, Acc.stairs: 0.4266, Acc.runway: 0.9505, Acc.case: 0.7568, Acc.pool table: 0.9792, Acc.pillow: 0.8142, Acc.screen door: 0.8414, Acc.stairway: 0.5242, Acc.river: 0.2221, Acc.bridge: 0.9108, Acc.bookcase: 0.5465, Acc.blind: 0.5162, Acc.coffee table: 0.8658, Acc.toilet: 0.9408, Acc.flower: 0.6198, Acc.book: 0.7741, Acc.hill: 0.1480, Acc.bench: 0.7070, Acc.countertop: 0.8026, Acc.stove: 0.9062, Acc.palm: 0.8157, Acc.kitchen island: 0.8796, Acc.computer: 0.8352, Acc.swivel chair: 0.6489, Acc.boat: 0.5748, Acc.bar: 0.7596, Acc.arcade machine: 0.9472, Acc.hovel: 0.4939, Acc.bus: 0.9736, Acc.towel: 0.8974, Acc.light: 0.7879, Acc.truck: 0.2831, Acc.tower: 0.7519, Acc.chandelier: 0.8928, Acc.awning: 0.5249, Acc.streetlight: 0.6556, Acc.booth: 0.6980, Acc.television receiver: 0.8887, Acc.airplane: 0.7504, Acc.dirt track: 0.1575, Acc.apparel: 0.6813, Acc.pole: 0.5549, Acc.land: 0.0677, Acc.bannister: 0.3063, Acc.escalator: 0.7004, Acc.ottoman: 0.7684, Acc.bottle: 0.6797, Acc.buffet: 0.6618, Acc.poster: 0.4315, Acc.stage: 0.4857, Acc.van: 0.7000, Acc.ship: 0.1354, Acc.fountain: 0.2191, Acc.conveyer belt: 0.9511, Acc.canopy: 0.5265, Acc.washer: 0.7576, Acc.plaything: 0.7168, Acc.swimming pool: 0.7199, Acc.stool: 0.7729, Acc.barrel: 0.9838, Acc.basket: 0.5830, Acc.waterfall: 0.8930, Acc.tent: 0.9817, Acc.bag: 0.3711, Acc.minibike: 0.9092, Acc.cradle: 0.9775, Acc.oven: 0.7041, Acc.ball: 0.7075, Acc.food: 0.5537, Acc.step: 0.3373, Acc.tank: 0.6611, Acc.trade name: 0.3688, Acc.microwave: 0.4583, Acc.pot: 0.6816, Acc.animal: 0.5898, Acc.bicycle: 0.8167, Acc.lake: 0.6360, Acc.dishwasher: 0.7973, Acc.screen: 0.7526, Acc.blanket: 0.5386, Acc.sculpture: 0.8925, Acc.hood: 0.7816, Acc.sconce: 0.7655, Acc.vase: 0.7375, Acc.traffic light: 0.7230, Acc.tray: 0.3080, Acc.ashcan: 0.7512, Acc.fan: 0.8520, Acc.pier: 0.1664, Acc.crt screen: 0.0832, Acc.plate: 0.8165, Acc.monitor: 0.1261, Acc.bulletin board: 0.8057, Acc.shower: 0.2583, Acc.radiator: 0.8459, Acc.glass: 0.2692, Acc.clock: 0.6911, Acc.flag: 0.8404 2023-11-22 20:42:05,563 - mmseg - INFO - Iter [144050/160000] lr: 9.496e-07, eta: 2:35:44, time: 0.955, data_time: 0.404, memory: 38143, decode.loss_cls: 0.1599, decode.loss_mask: 0.4232, decode.loss_dice: 0.6627, decode.d0.loss_cls: 1.2330, decode.d0.loss_mask: 0.4612, decode.d0.loss_dice: 0.7344, decode.d1.loss_cls: 0.2384, decode.d1.loss_mask: 0.4394, decode.d1.loss_dice: 0.6986, decode.d2.loss_cls: 0.1879, decode.d2.loss_mask: 0.4317, decode.d2.loss_dice: 0.6788, decode.d3.loss_cls: 0.1667, decode.d3.loss_mask: 0.4277, decode.d3.loss_dice: 0.6717, decode.d4.loss_cls: 0.1653, decode.d4.loss_mask: 0.4263, decode.d4.loss_dice: 0.6651, decode.d5.loss_cls: 0.1670, decode.d5.loss_mask: 0.4250, decode.d5.loss_dice: 0.6670, decode.d6.loss_cls: 0.1651, decode.d6.loss_mask: 0.4247, decode.d6.loss_dice: 0.6603, decode.d7.loss_cls: 0.1616, decode.d7.loss_mask: 0.4240, decode.d7.loss_dice: 0.6638, decode.d8.loss_cls: 0.1605, decode.d8.loss_mask: 0.4231, decode.d8.loss_dice: 0.6652, loss: 13.8793, grad_norm: 65.4523 2023-11-22 20:42:33,827 - mmseg - INFO - Iter [144100/160000] lr: 9.466e-07, eta: 2:35:15, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1598, decode.loss_mask: 0.4306, decode.loss_dice: 0.6450, decode.d0.loss_cls: 1.2560, decode.d0.loss_mask: 0.4659, decode.d0.loss_dice: 0.7124, decode.d1.loss_cls: 0.2350, decode.d1.loss_mask: 0.4465, decode.d1.loss_dice: 0.6829, decode.d2.loss_cls: 0.1949, decode.d2.loss_mask: 0.4378, decode.d2.loss_dice: 0.6656, decode.d3.loss_cls: 0.1800, decode.d3.loss_mask: 0.4346, decode.d3.loss_dice: 0.6482, decode.d4.loss_cls: 0.1677, decode.d4.loss_mask: 0.4333, decode.d4.loss_dice: 0.6516, decode.d5.loss_cls: 0.1660, decode.d5.loss_mask: 0.4332, decode.d5.loss_dice: 0.6499, decode.d6.loss_cls: 0.1632, decode.d6.loss_mask: 0.4323, decode.d6.loss_dice: 0.6466, decode.d7.loss_cls: 0.1609, decode.d7.loss_mask: 0.4310, decode.d7.loss_dice: 0.6470, decode.d8.loss_cls: 0.1614, decode.d8.loss_mask: 0.4323, decode.d8.loss_dice: 0.6478, loss: 13.8194, grad_norm: 66.2925 2023-11-22 20:43:02,185 - mmseg - INFO - Iter [144150/160000] lr: 9.436e-07, eta: 2:34:46, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1519, decode.loss_mask: 0.4237, decode.loss_dice: 0.6391, decode.d0.loss_cls: 1.2380, decode.d0.loss_mask: 0.4608, decode.d0.loss_dice: 0.7066, decode.d1.loss_cls: 0.2177, decode.d1.loss_mask: 0.4404, decode.d1.loss_dice: 0.6733, decode.d2.loss_cls: 0.1872, decode.d2.loss_mask: 0.4305, decode.d2.loss_dice: 0.6568, decode.d3.loss_cls: 0.1701, decode.d3.loss_mask: 0.4286, decode.d3.loss_dice: 0.6464, decode.d4.loss_cls: 0.1661, decode.d4.loss_mask: 0.4265, decode.d4.loss_dice: 0.6430, decode.d5.loss_cls: 0.1631, decode.d5.loss_mask: 0.4273, decode.d5.loss_dice: 0.6429, decode.d6.loss_cls: 0.1585, decode.d6.loss_mask: 0.4255, decode.d6.loss_dice: 0.6373, decode.d7.loss_cls: 0.1575, decode.d7.loss_mask: 0.4244, decode.d7.loss_dice: 0.6379, decode.d8.loss_cls: 0.1558, decode.d8.loss_mask: 0.4249, decode.d8.loss_dice: 0.6407, loss: 13.6027, grad_norm: 61.2612 2023-11-22 20:43:30,305 - mmseg - INFO - Iter [144200/160000] lr: 9.406e-07, eta: 2:34:16, time: 0.562, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1706, decode.loss_mask: 0.4378, decode.loss_dice: 0.6678, decode.d0.loss_cls: 1.2218, decode.d0.loss_mask: 0.4724, decode.d0.loss_dice: 0.7455, decode.d1.loss_cls: 0.2450, decode.d1.loss_mask: 0.4532, decode.d1.loss_dice: 0.7061, decode.d2.loss_cls: 0.2025, decode.d2.loss_mask: 0.4452, decode.d2.loss_dice: 0.6849, decode.d3.loss_cls: 0.1877, decode.d3.loss_mask: 0.4435, decode.d3.loss_dice: 0.6815, decode.d4.loss_cls: 0.1804, decode.d4.loss_mask: 0.4426, decode.d4.loss_dice: 0.6757, decode.d5.loss_cls: 0.1794, decode.d5.loss_mask: 0.4415, decode.d5.loss_dice: 0.6722, decode.d6.loss_cls: 0.1751, decode.d6.loss_mask: 0.4405, decode.d6.loss_dice: 0.6666, decode.d7.loss_cls: 0.1748, decode.d7.loss_mask: 0.4382, decode.d7.loss_dice: 0.6665, decode.d8.loss_cls: 0.1695, decode.d8.loss_mask: 0.4384, decode.d8.loss_dice: 0.6681, loss: 14.1951, grad_norm: 71.5177 2023-11-22 20:43:58,423 - mmseg - INFO - Iter [144250/160000] lr: 9.377e-07, eta: 2:33:47, time: 0.562, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1526, decode.loss_mask: 0.4269, decode.loss_dice: 0.6602, decode.d0.loss_cls: 1.2213, decode.d0.loss_mask: 0.4628, decode.d0.loss_dice: 0.7263, decode.d1.loss_cls: 0.2239, decode.d1.loss_mask: 0.4400, decode.d1.loss_dice: 0.6930, decode.d2.loss_cls: 0.1839, decode.d2.loss_mask: 0.4330, decode.d2.loss_dice: 0.6791, decode.d3.loss_cls: 0.1673, decode.d3.loss_mask: 0.4302, decode.d3.loss_dice: 0.6635, decode.d4.loss_cls: 0.1598, decode.d4.loss_mask: 0.4289, decode.d4.loss_dice: 0.6703, decode.d5.loss_cls: 0.1542, decode.d5.loss_mask: 0.4289, decode.d5.loss_dice: 0.6650, decode.d6.loss_cls: 0.1531, decode.d6.loss_mask: 0.4287, decode.d6.loss_dice: 0.6615, decode.d7.loss_cls: 0.1488, decode.d7.loss_mask: 0.4267, decode.d7.loss_dice: 0.6631, decode.d8.loss_cls: 0.1490, decode.d8.loss_mask: 0.4266, decode.d8.loss_dice: 0.6630, loss: 13.7915, grad_norm: 66.6447 2023-11-22 20:44:26,702 - mmseg - INFO - Iter [144300/160000] lr: 9.347e-07, eta: 2:33:17, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1630, decode.loss_mask: 0.4353, decode.loss_dice: 0.6474, decode.d0.loss_cls: 1.2570, decode.d0.loss_mask: 0.4670, decode.d0.loss_dice: 0.7169, decode.d1.loss_cls: 0.2423, decode.d1.loss_mask: 0.4477, decode.d1.loss_dice: 0.6823, decode.d2.loss_cls: 0.1990, decode.d2.loss_mask: 0.4413, decode.d2.loss_dice: 0.6682, decode.d3.loss_cls: 0.1826, decode.d3.loss_mask: 0.4387, decode.d3.loss_dice: 0.6599, decode.d4.loss_cls: 0.1778, decode.d4.loss_mask: 0.4376, decode.d4.loss_dice: 0.6560, decode.d5.loss_cls: 0.1696, decode.d5.loss_mask: 0.4369, decode.d5.loss_dice: 0.6507, decode.d6.loss_cls: 0.1736, decode.d6.loss_mask: 0.4351, decode.d6.loss_dice: 0.6473, decode.d7.loss_cls: 0.1664, decode.d7.loss_mask: 0.4347, decode.d7.loss_dice: 0.6472, decode.d8.loss_cls: 0.1670, decode.d8.loss_mask: 0.4357, decode.d8.loss_dice: 0.6506, loss: 13.9350, grad_norm: 63.9934 2023-11-22 20:44:54,839 - mmseg - INFO - Iter [144350/160000] lr: 9.317e-07, eta: 2:32:48, time: 0.563, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1510, decode.loss_mask: 0.4379, decode.loss_dice: 0.6457, decode.d0.loss_cls: 1.2580, decode.d0.loss_mask: 0.4724, decode.d0.loss_dice: 0.7216, decode.d1.loss_cls: 0.2279, decode.d1.loss_mask: 0.4562, decode.d1.loss_dice: 0.6820, decode.d2.loss_cls: 0.1938, decode.d2.loss_mask: 0.4440, decode.d2.loss_dice: 0.6644, decode.d3.loss_cls: 0.1709, decode.d3.loss_mask: 0.4406, decode.d3.loss_dice: 0.6554, decode.d4.loss_cls: 0.1643, decode.d4.loss_mask: 0.4408, decode.d4.loss_dice: 0.6548, decode.d5.loss_cls: 0.1588, decode.d5.loss_mask: 0.4405, decode.d5.loss_dice: 0.6527, decode.d6.loss_cls: 0.1605, decode.d6.loss_mask: 0.4392, decode.d6.loss_dice: 0.6492, decode.d7.loss_cls: 0.1507, decode.d7.loss_mask: 0.4397, decode.d7.loss_dice: 0.6512, decode.d8.loss_cls: 0.1537, decode.d8.loss_mask: 0.4377, decode.d8.loss_dice: 0.6478, loss: 13.8636, grad_norm: 71.4256 2023-11-22 20:45:23,143 - mmseg - INFO - Iter [144400/160000] lr: 9.287e-07, eta: 2:32:19, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1522, decode.loss_mask: 0.4475, decode.loss_dice: 0.6492, decode.d0.loss_cls: 1.2337, decode.d0.loss_mask: 0.4819, decode.d0.loss_dice: 0.7181, decode.d1.loss_cls: 0.2291, decode.d1.loss_mask: 0.4641, decode.d1.loss_dice: 0.6854, decode.d2.loss_cls: 0.1900, decode.d2.loss_mask: 0.4537, decode.d2.loss_dice: 0.6658, decode.d3.loss_cls: 0.1699, decode.d3.loss_mask: 0.4505, decode.d3.loss_dice: 0.6559, decode.d4.loss_cls: 0.1674, decode.d4.loss_mask: 0.4505, decode.d4.loss_dice: 0.6566, decode.d5.loss_cls: 0.1607, decode.d5.loss_mask: 0.4497, decode.d5.loss_dice: 0.6550, decode.d6.loss_cls: 0.1579, decode.d6.loss_mask: 0.4492, decode.d6.loss_dice: 0.6498, decode.d7.loss_cls: 0.1557, decode.d7.loss_mask: 0.4481, decode.d7.loss_dice: 0.6496, decode.d8.loss_cls: 0.1540, decode.d8.loss_mask: 0.4478, decode.d8.loss_dice: 0.6552, loss: 13.9544, grad_norm: 72.6016 2023-11-22 20:45:51,545 - mmseg - INFO - Iter [144450/160000] lr: 9.258e-07, eta: 2:31:49, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1339, decode.loss_mask: 0.4252, decode.loss_dice: 0.6266, decode.d0.loss_cls: 1.2115, decode.d0.loss_mask: 0.4531, decode.d0.loss_dice: 0.6907, decode.d1.loss_cls: 0.2065, decode.d1.loss_mask: 0.4378, decode.d1.loss_dice: 0.6557, decode.d2.loss_cls: 0.1624, decode.d2.loss_mask: 0.4326, decode.d2.loss_dice: 0.6444, decode.d3.loss_cls: 0.1498, decode.d3.loss_mask: 0.4292, decode.d3.loss_dice: 0.6372, decode.d4.loss_cls: 0.1461, decode.d4.loss_mask: 0.4284, decode.d4.loss_dice: 0.6320, decode.d5.loss_cls: 0.1445, decode.d5.loss_mask: 0.4273, decode.d5.loss_dice: 0.6308, decode.d6.loss_cls: 0.1381, decode.d6.loss_mask: 0.4267, decode.d6.loss_dice: 0.6296, decode.d7.loss_cls: 0.1374, decode.d7.loss_mask: 0.4256, decode.d7.loss_dice: 0.6289, decode.d8.loss_cls: 0.1345, decode.d8.loss_mask: 0.4260, decode.d8.loss_dice: 0.6292, loss: 13.2815, grad_norm: 64.2985 2023-11-22 20:46:19,588 - mmseg - INFO - Iter [144500/160000] lr: 9.228e-07, eta: 2:31:20, time: 0.561, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1635, decode.loss_mask: 0.4322, decode.loss_dice: 0.6496, decode.d0.loss_cls: 1.2843, decode.d0.loss_mask: 0.4656, decode.d0.loss_dice: 0.7231, decode.d1.loss_cls: 0.2360, decode.d1.loss_mask: 0.4499, decode.d1.loss_dice: 0.6828, decode.d2.loss_cls: 0.1971, decode.d2.loss_mask: 0.4406, decode.d2.loss_dice: 0.6694, decode.d3.loss_cls: 0.1822, decode.d3.loss_mask: 0.4362, decode.d3.loss_dice: 0.6626, decode.d4.loss_cls: 0.1704, decode.d4.loss_mask: 0.4361, decode.d4.loss_dice: 0.6587, decode.d5.loss_cls: 0.1729, decode.d5.loss_mask: 0.4343, decode.d5.loss_dice: 0.6563, decode.d6.loss_cls: 0.1680, decode.d6.loss_mask: 0.4329, decode.d6.loss_dice: 0.6541, decode.d7.loss_cls: 0.1643, decode.d7.loss_mask: 0.4324, decode.d7.loss_dice: 0.6524, decode.d8.loss_cls: 0.1641, decode.d8.loss_mask: 0.4319, decode.d8.loss_dice: 0.6554, loss: 13.9591, grad_norm: 66.5526 2023-11-22 20:46:47,761 - mmseg - INFO - Iter [144550/160000] lr: 9.198e-07, eta: 2:30:50, time: 0.563, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1473, decode.loss_mask: 0.4357, decode.loss_dice: 0.6630, decode.d0.loss_cls: 1.2205, decode.d0.loss_mask: 0.4692, decode.d0.loss_dice: 0.7266, decode.d1.loss_cls: 0.2220, decode.d1.loss_mask: 0.4522, decode.d1.loss_dice: 0.6954, decode.d2.loss_cls: 0.1787, decode.d2.loss_mask: 0.4441, decode.d2.loss_dice: 0.6777, decode.d3.loss_cls: 0.1685, decode.d3.loss_mask: 0.4394, decode.d3.loss_dice: 0.6699, decode.d4.loss_cls: 0.1568, decode.d4.loss_mask: 0.4390, decode.d4.loss_dice: 0.6677, decode.d5.loss_cls: 0.1555, decode.d5.loss_mask: 0.4366, decode.d5.loss_dice: 0.6659, decode.d6.loss_cls: 0.1550, decode.d6.loss_mask: 0.4339, decode.d6.loss_dice: 0.6601, decode.d7.loss_cls: 0.1529, decode.d7.loss_mask: 0.4342, decode.d7.loss_dice: 0.6652, decode.d8.loss_cls: 0.1473, decode.d8.loss_mask: 0.4345, decode.d8.loss_dice: 0.6612, loss: 13.8761, grad_norm: 63.7390 2023-11-22 20:47:16,191 - mmseg - INFO - Iter [144600/160000] lr: 9.168e-07, eta: 2:30:21, time: 0.569, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1546, decode.loss_mask: 0.4399, decode.loss_dice: 0.6604, decode.d0.loss_cls: 1.2594, decode.d0.loss_mask: 0.4807, decode.d0.loss_dice: 0.7313, decode.d1.loss_cls: 0.2315, decode.d1.loss_mask: 0.4571, decode.d1.loss_dice: 0.6832, decode.d2.loss_cls: 0.1840, decode.d2.loss_mask: 0.4513, decode.d2.loss_dice: 0.6799, decode.d3.loss_cls: 0.1770, decode.d3.loss_mask: 0.4452, decode.d3.loss_dice: 0.6646, decode.d4.loss_cls: 0.1657, decode.d4.loss_mask: 0.4440, decode.d4.loss_dice: 0.6662, decode.d5.loss_cls: 0.1650, decode.d5.loss_mask: 0.4412, decode.d5.loss_dice: 0.6630, decode.d6.loss_cls: 0.1672, decode.d6.loss_mask: 0.4402, decode.d6.loss_dice: 0.6605, decode.d7.loss_cls: 0.1600, decode.d7.loss_mask: 0.4395, decode.d7.loss_dice: 0.6590, decode.d8.loss_cls: 0.1586, decode.d8.loss_mask: 0.4398, decode.d8.loss_dice: 0.6596, loss: 14.0298, grad_norm: 70.1035 2023-11-22 20:47:44,568 - mmseg - INFO - Iter [144650/160000] lr: 9.139e-07, eta: 2:29:52, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1576, decode.loss_mask: 0.4070, decode.loss_dice: 0.6401, decode.d0.loss_cls: 1.2420, decode.d0.loss_mask: 0.4417, decode.d0.loss_dice: 0.7113, decode.d1.loss_cls: 0.2523, decode.d1.loss_mask: 0.4188, decode.d1.loss_dice: 0.6712, decode.d2.loss_cls: 0.2075, decode.d2.loss_mask: 0.4113, decode.d2.loss_dice: 0.6535, decode.d3.loss_cls: 0.1839, decode.d3.loss_mask: 0.4092, decode.d3.loss_dice: 0.6433, decode.d4.loss_cls: 0.1715, decode.d4.loss_mask: 0.4081, decode.d4.loss_dice: 0.6439, decode.d5.loss_cls: 0.1697, decode.d5.loss_mask: 0.4086, decode.d5.loss_dice: 0.6397, decode.d6.loss_cls: 0.1706, decode.d6.loss_mask: 0.4057, decode.d6.loss_dice: 0.6398, decode.d7.loss_cls: 0.1632, decode.d7.loss_mask: 0.4074, decode.d7.loss_dice: 0.6391, decode.d8.loss_cls: 0.1603, decode.d8.loss_mask: 0.4063, decode.d8.loss_dice: 0.6391, loss: 13.5238, grad_norm: 63.1790 2023-11-22 20:48:12,829 - mmseg - INFO - Iter [144700/160000] lr: 9.109e-07, eta: 2:29:22, time: 0.567, data_time: 0.015, memory: 38143, decode.loss_cls: 0.1857, decode.loss_mask: 0.4205, decode.loss_dice: 0.6455, decode.d0.loss_cls: 1.2611, decode.d0.loss_mask: 0.4501, decode.d0.loss_dice: 0.7174, decode.d1.loss_cls: 0.2590, decode.d1.loss_mask: 0.4341, decode.d1.loss_dice: 0.6797, decode.d2.loss_cls: 0.2174, decode.d2.loss_mask: 0.4262, decode.d2.loss_dice: 0.6628, decode.d3.loss_cls: 0.2026, decode.d3.loss_mask: 0.4236, decode.d3.loss_dice: 0.6539, decode.d4.loss_cls: 0.1985, decode.d4.loss_mask: 0.4224, decode.d4.loss_dice: 0.6528, decode.d5.loss_cls: 0.1906, decode.d5.loss_mask: 0.4219, decode.d5.loss_dice: 0.6478, decode.d6.loss_cls: 0.1904, decode.d6.loss_mask: 0.4207, decode.d6.loss_dice: 0.6471, decode.d7.loss_cls: 0.1877, decode.d7.loss_mask: 0.4207, decode.d7.loss_dice: 0.6472, decode.d8.loss_cls: 0.1863, decode.d8.loss_mask: 0.4197, decode.d8.loss_dice: 0.6431, loss: 13.9363, grad_norm: 66.8831 2023-11-22 20:48:41,239 - mmseg - INFO - Iter [144750/160000] lr: 9.079e-07, eta: 2:28:53, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1574, decode.loss_mask: 0.4314, decode.loss_dice: 0.6621, decode.d0.loss_cls: 1.2199, decode.d0.loss_mask: 0.4657, decode.d0.loss_dice: 0.7307, decode.d1.loss_cls: 0.2332, decode.d1.loss_mask: 0.4476, decode.d1.loss_dice: 0.6962, decode.d2.loss_cls: 0.1923, decode.d2.loss_mask: 0.4420, decode.d2.loss_dice: 0.6784, decode.d3.loss_cls: 0.1795, decode.d3.loss_mask: 0.4369, decode.d3.loss_dice: 0.6644, decode.d4.loss_cls: 0.1680, decode.d4.loss_mask: 0.4354, decode.d4.loss_dice: 0.6676, decode.d5.loss_cls: 0.1665, decode.d5.loss_mask: 0.4350, decode.d5.loss_dice: 0.6699, decode.d6.loss_cls: 0.1604, decode.d6.loss_mask: 0.4338, decode.d6.loss_dice: 0.6621, decode.d7.loss_cls: 0.1584, decode.d7.loss_mask: 0.4324, decode.d7.loss_dice: 0.6661, decode.d8.loss_cls: 0.1531, decode.d8.loss_mask: 0.4335, decode.d8.loss_dice: 0.6657, loss: 13.9454, grad_norm: 70.7542 2023-11-22 20:49:09,422 - mmseg - INFO - Iter [144800/160000] lr: 9.049e-07, eta: 2:28:23, time: 0.564, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1576, decode.loss_mask: 0.4382, decode.loss_dice: 0.6423, decode.d0.loss_cls: 1.2403, decode.d0.loss_mask: 0.4690, decode.d0.loss_dice: 0.7075, decode.d1.loss_cls: 0.2294, decode.d1.loss_mask: 0.4563, decode.d1.loss_dice: 0.6756, decode.d2.loss_cls: 0.1884, decode.d2.loss_mask: 0.4439, decode.d2.loss_dice: 0.6611, decode.d3.loss_cls: 0.1713, decode.d3.loss_mask: 0.4444, decode.d3.loss_dice: 0.6488, decode.d4.loss_cls: 0.1685, decode.d4.loss_mask: 0.4402, decode.d4.loss_dice: 0.6451, decode.d5.loss_cls: 0.1613, decode.d5.loss_mask: 0.4416, decode.d5.loss_dice: 0.6460, decode.d6.loss_cls: 0.1630, decode.d6.loss_mask: 0.4418, decode.d6.loss_dice: 0.6463, decode.d7.loss_cls: 0.1568, decode.d7.loss_mask: 0.4412, decode.d7.loss_dice: 0.6443, decode.d8.loss_cls: 0.1579, decode.d8.loss_mask: 0.4388, decode.d8.loss_dice: 0.6437, loss: 13.8103, grad_norm: 72.3779 2023-11-22 20:49:37,747 - mmseg - INFO - Iter [144850/160000] lr: 9.019e-07, eta: 2:27:54, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1638, decode.loss_mask: 0.4285, decode.loss_dice: 0.6553, decode.d0.loss_cls: 1.2471, decode.d0.loss_mask: 0.4553, decode.d0.loss_dice: 0.7197, decode.d1.loss_cls: 0.2490, decode.d1.loss_mask: 0.4399, decode.d1.loss_dice: 0.6836, decode.d2.loss_cls: 0.2037, decode.d2.loss_mask: 0.4337, decode.d2.loss_dice: 0.6704, decode.d3.loss_cls: 0.1850, decode.d3.loss_mask: 0.4330, decode.d3.loss_dice: 0.6575, decode.d4.loss_cls: 0.1753, decode.d4.loss_mask: 0.4314, decode.d4.loss_dice: 0.6573, decode.d5.loss_cls: 0.1729, decode.d5.loss_mask: 0.4293, decode.d5.loss_dice: 0.6549, decode.d6.loss_cls: 0.1692, decode.d6.loss_mask: 0.4297, decode.d6.loss_dice: 0.6572, decode.d7.loss_cls: 0.1722, decode.d7.loss_mask: 0.4281, decode.d7.loss_dice: 0.6539, decode.d8.loss_cls: 0.1687, decode.d8.loss_mask: 0.4288, decode.d8.loss_dice: 0.6571, loss: 13.9116, grad_norm: 65.9224 2023-11-22 20:50:06,095 - mmseg - INFO - Iter [144900/160000] lr: 8.990e-07, eta: 2:27:25, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1502, decode.loss_mask: 0.4112, decode.loss_dice: 0.6395, decode.d0.loss_cls: 1.2380, decode.d0.loss_mask: 0.4420, decode.d0.loss_dice: 0.7029, decode.d1.loss_cls: 0.2278, decode.d1.loss_mask: 0.4276, decode.d1.loss_dice: 0.6743, decode.d2.loss_cls: 0.1872, decode.d2.loss_mask: 0.4182, decode.d2.loss_dice: 0.6542, decode.d3.loss_cls: 0.1716, decode.d3.loss_mask: 0.4157, decode.d3.loss_dice: 0.6400, decode.d4.loss_cls: 0.1631, decode.d4.loss_mask: 0.4139, decode.d4.loss_dice: 0.6434, decode.d5.loss_cls: 0.1595, decode.d5.loss_mask: 0.4117, decode.d5.loss_dice: 0.6435, decode.d6.loss_cls: 0.1572, decode.d6.loss_mask: 0.4120, decode.d6.loss_dice: 0.6369, decode.d7.loss_cls: 0.1551, decode.d7.loss_mask: 0.4104, decode.d7.loss_dice: 0.6353, decode.d8.loss_cls: 0.1519, decode.d8.loss_mask: 0.4115, decode.d8.loss_dice: 0.6386, loss: 13.4443, grad_norm: 62.5438 2023-11-22 20:50:34,624 - mmseg - INFO - Iter [144950/160000] lr: 8.960e-07, eta: 2:26:55, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1702, decode.loss_mask: 0.4287, decode.loss_dice: 0.6565, decode.d0.loss_cls: 1.2572, decode.d0.loss_mask: 0.4595, decode.d0.loss_dice: 0.7230, decode.d1.loss_cls: 0.2490, decode.d1.loss_mask: 0.4398, decode.d1.loss_dice: 0.6884, decode.d2.loss_cls: 0.2107, decode.d2.loss_mask: 0.4351, decode.d2.loss_dice: 0.6695, decode.d3.loss_cls: 0.1873, decode.d3.loss_mask: 0.4321, decode.d3.loss_dice: 0.6639, decode.d4.loss_cls: 0.1809, decode.d4.loss_mask: 0.4295, decode.d4.loss_dice: 0.6614, decode.d5.loss_cls: 0.1760, decode.d5.loss_mask: 0.4299, decode.d5.loss_dice: 0.6638, decode.d6.loss_cls: 0.1730, decode.d6.loss_mask: 0.4299, decode.d6.loss_dice: 0.6578, decode.d7.loss_cls: 0.1732, decode.d7.loss_mask: 0.4300, decode.d7.loss_dice: 0.6616, decode.d8.loss_cls: 0.1693, decode.d8.loss_mask: 0.4290, decode.d8.loss_dice: 0.6612, loss: 13.9972, grad_norm: 69.3861 2023-11-22 20:51:03,054 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 20:51:03,055 - mmseg - INFO - Iter [145000/160000] lr: 8.930e-07, eta: 2:26:26, time: 0.569, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1604, decode.loss_mask: 0.4353, decode.loss_dice: 0.6386, decode.d0.loss_cls: 1.2062, decode.d0.loss_mask: 0.4677, decode.d0.loss_dice: 0.7050, decode.d1.loss_cls: 0.2315, decode.d1.loss_mask: 0.4501, decode.d1.loss_dice: 0.6658, decode.d2.loss_cls: 0.1901, decode.d2.loss_mask: 0.4435, decode.d2.loss_dice: 0.6546, decode.d3.loss_cls: 0.1774, decode.d3.loss_mask: 0.4389, decode.d3.loss_dice: 0.6437, decode.d4.loss_cls: 0.1718, decode.d4.loss_mask: 0.4379, decode.d4.loss_dice: 0.6453, decode.d5.loss_cls: 0.1686, decode.d5.loss_mask: 0.4363, decode.d5.loss_dice: 0.6395, decode.d6.loss_cls: 0.1640, decode.d6.loss_mask: 0.4367, decode.d6.loss_dice: 0.6395, decode.d7.loss_cls: 0.1625, decode.d7.loss_mask: 0.4354, decode.d7.loss_dice: 0.6375, decode.d8.loss_cls: 0.1622, decode.d8.loss_mask: 0.4353, decode.d8.loss_dice: 0.6378, loss: 13.7192, grad_norm: 65.6835 2023-11-22 20:51:31,668 - mmseg - INFO - Iter [145050/160000] lr: 8.900e-07, eta: 2:25:57, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1581, decode.loss_mask: 0.4322, decode.loss_dice: 0.6434, decode.d0.loss_cls: 1.2371, decode.d0.loss_mask: 0.4661, decode.d0.loss_dice: 0.7168, decode.d1.loss_cls: 0.2262, decode.d1.loss_mask: 0.4466, decode.d1.loss_dice: 0.6817, decode.d2.loss_cls: 0.1784, decode.d2.loss_mask: 0.4402, decode.d2.loss_dice: 0.6623, decode.d3.loss_cls: 0.1643, decode.d3.loss_mask: 0.4370, decode.d3.loss_dice: 0.6507, decode.d4.loss_cls: 0.1565, decode.d4.loss_mask: 0.4378, decode.d4.loss_dice: 0.6508, decode.d5.loss_cls: 0.1598, decode.d5.loss_mask: 0.4347, decode.d5.loss_dice: 0.6504, decode.d6.loss_cls: 0.1588, decode.d6.loss_mask: 0.4342, decode.d6.loss_dice: 0.6443, decode.d7.loss_cls: 0.1580, decode.d7.loss_mask: 0.4322, decode.d7.loss_dice: 0.6475, decode.d8.loss_cls: 0.1507, decode.d8.loss_mask: 0.4333, decode.d8.loss_dice: 0.6464, loss: 13.7365, grad_norm: 67.6640 2023-11-22 20:51:59,992 - mmseg - INFO - Iter [145100/160000] lr: 8.871e-07, eta: 2:25:27, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1677, decode.loss_mask: 0.4300, decode.loss_dice: 0.6535, decode.d0.loss_cls: 1.2411, decode.d0.loss_mask: 0.4634, decode.d0.loss_dice: 0.7224, decode.d1.loss_cls: 0.2407, decode.d1.loss_mask: 0.4454, decode.d1.loss_dice: 0.6864, decode.d2.loss_cls: 0.2037, decode.d2.loss_mask: 0.4385, decode.d2.loss_dice: 0.6686, decode.d3.loss_cls: 0.1911, decode.d3.loss_mask: 0.4337, decode.d3.loss_dice: 0.6595, decode.d4.loss_cls: 0.1802, decode.d4.loss_mask: 0.4358, decode.d4.loss_dice: 0.6592, decode.d5.loss_cls: 0.1747, decode.d5.loss_mask: 0.4333, decode.d5.loss_dice: 0.6572, decode.d6.loss_cls: 0.1753, decode.d6.loss_mask: 0.4322, decode.d6.loss_dice: 0.6545, decode.d7.loss_cls: 0.1707, decode.d7.loss_mask: 0.4305, decode.d7.loss_dice: 0.6540, decode.d8.loss_cls: 0.1694, decode.d8.loss_mask: 0.4299, decode.d8.loss_dice: 0.6552, loss: 13.9580, grad_norm: 60.4118 2023-11-22 20:52:28,316 - mmseg - INFO - Iter [145150/160000] lr: 8.841e-07, eta: 2:24:58, time: 0.566, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1680, decode.loss_mask: 0.4382, decode.loss_dice: 0.6732, decode.d0.loss_cls: 1.2518, decode.d0.loss_mask: 0.4692, decode.d0.loss_dice: 0.7393, decode.d1.loss_cls: 0.2395, decode.d1.loss_mask: 0.4547, decode.d1.loss_dice: 0.7073, decode.d2.loss_cls: 0.2027, decode.d2.loss_mask: 0.4461, decode.d2.loss_dice: 0.6875, decode.d3.loss_cls: 0.1913, decode.d3.loss_mask: 0.4424, decode.d3.loss_dice: 0.6744, decode.d4.loss_cls: 0.1846, decode.d4.loss_mask: 0.4416, decode.d4.loss_dice: 0.6779, decode.d5.loss_cls: 0.1742, decode.d5.loss_mask: 0.4424, decode.d5.loss_dice: 0.6727, decode.d6.loss_cls: 0.1724, decode.d6.loss_mask: 0.4399, decode.d6.loss_dice: 0.6730, decode.d7.loss_cls: 0.1694, decode.d7.loss_mask: 0.4390, decode.d7.loss_dice: 0.6732, decode.d8.loss_cls: 0.1673, decode.d8.loss_mask: 0.4379, decode.d8.loss_dice: 0.6674, loss: 14.2183, grad_norm: 63.6158 2023-11-22 20:52:56,699 - mmseg - INFO - Iter [145200/160000] lr: 8.811e-07, eta: 2:24:28, time: 0.568, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1514, decode.loss_mask: 0.4385, decode.loss_dice: 0.6523, decode.d0.loss_cls: 1.2130, decode.d0.loss_mask: 0.4711, decode.d0.loss_dice: 0.7190, decode.d1.loss_cls: 0.2231, decode.d1.loss_mask: 0.4536, decode.d1.loss_dice: 0.6882, decode.d2.loss_cls: 0.1874, decode.d2.loss_mask: 0.4448, decode.d2.loss_dice: 0.6680, decode.d3.loss_cls: 0.1718, decode.d3.loss_mask: 0.4409, decode.d3.loss_dice: 0.6593, decode.d4.loss_cls: 0.1677, decode.d4.loss_mask: 0.4403, decode.d4.loss_dice: 0.6552, decode.d5.loss_cls: 0.1624, decode.d5.loss_mask: 0.4405, decode.d5.loss_dice: 0.6535, decode.d6.loss_cls: 0.1596, decode.d6.loss_mask: 0.4388, decode.d6.loss_dice: 0.6550, decode.d7.loss_cls: 0.1563, decode.d7.loss_mask: 0.4377, decode.d7.loss_dice: 0.6543, decode.d8.loss_cls: 0.1547, decode.d8.loss_mask: 0.4383, decode.d8.loss_dice: 0.6497, loss: 13.8469, grad_norm: 65.1796 2023-11-22 20:53:27,656 - mmseg - INFO - Iter [145250/160000] lr: 8.781e-07, eta: 2:23:59, time: 0.619, data_time: 0.058, memory: 38143, decode.loss_cls: 0.1578, decode.loss_mask: 0.4264, decode.loss_dice: 0.6671, decode.d0.loss_cls: 1.2514, decode.d0.loss_mask: 0.4563, decode.d0.loss_dice: 0.7355, decode.d1.loss_cls: 0.2331, decode.d1.loss_mask: 0.4372, decode.d1.loss_dice: 0.7021, decode.d2.loss_cls: 0.1896, decode.d2.loss_mask: 0.4314, decode.d2.loss_dice: 0.6854, decode.d3.loss_cls: 0.1761, decode.d3.loss_mask: 0.4309, decode.d3.loss_dice: 0.6754, decode.d4.loss_cls: 0.1631, decode.d4.loss_mask: 0.4295, decode.d4.loss_dice: 0.6774, decode.d5.loss_cls: 0.1616, decode.d5.loss_mask: 0.4266, decode.d5.loss_dice: 0.6683, decode.d6.loss_cls: 0.1611, decode.d6.loss_mask: 0.4268, decode.d6.loss_dice: 0.6721, decode.d7.loss_cls: 0.1599, decode.d7.loss_mask: 0.4262, decode.d7.loss_dice: 0.6700, decode.d8.loss_cls: 0.1576, decode.d8.loss_mask: 0.4262, decode.d8.loss_dice: 0.6721, loss: 13.9542, grad_norm: 60.2325 2023-11-22 20:53:56,112 - mmseg - INFO - Iter [145300/160000] lr: 8.752e-07, eta: 2:23:30, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1571, decode.loss_mask: 0.4191, decode.loss_dice: 0.6524, decode.d0.loss_cls: 1.2424, decode.d0.loss_mask: 0.4498, decode.d0.loss_dice: 0.7198, decode.d1.loss_cls: 0.2316, decode.d1.loss_mask: 0.4310, decode.d1.loss_dice: 0.6823, decode.d2.loss_cls: 0.1871, decode.d2.loss_mask: 0.4243, decode.d2.loss_dice: 0.6673, decode.d3.loss_cls: 0.1685, decode.d3.loss_mask: 0.4222, decode.d3.loss_dice: 0.6597, decode.d4.loss_cls: 0.1666, decode.d4.loss_mask: 0.4211, decode.d4.loss_dice: 0.6557, decode.d5.loss_cls: 0.1602, decode.d5.loss_mask: 0.4222, decode.d5.loss_dice: 0.6567, decode.d6.loss_cls: 0.1555, decode.d6.loss_mask: 0.4215, decode.d6.loss_dice: 0.6546, decode.d7.loss_cls: 0.1590, decode.d7.loss_mask: 0.4206, decode.d7.loss_dice: 0.6534, decode.d8.loss_cls: 0.1573, decode.d8.loss_mask: 0.4197, decode.d8.loss_dice: 0.6510, loss: 13.6898, grad_norm: 60.8923 2023-11-22 20:54:24,572 - mmseg - INFO - Iter [145350/160000] lr: 8.722e-07, eta: 2:23:01, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1550, decode.loss_mask: 0.4261, decode.loss_dice: 0.6449, decode.d0.loss_cls: 1.2280, decode.d0.loss_mask: 0.4573, decode.d0.loss_dice: 0.7160, decode.d1.loss_cls: 0.2279, decode.d1.loss_mask: 0.4439, decode.d1.loss_dice: 0.6807, decode.d2.loss_cls: 0.1845, decode.d2.loss_mask: 0.4360, decode.d2.loss_dice: 0.6661, decode.d3.loss_cls: 0.1681, decode.d3.loss_mask: 0.4291, decode.d3.loss_dice: 0.6492, decode.d4.loss_cls: 0.1613, decode.d4.loss_mask: 0.4284, decode.d4.loss_dice: 0.6537, decode.d5.loss_cls: 0.1626, decode.d5.loss_mask: 0.4278, decode.d5.loss_dice: 0.6453, decode.d6.loss_cls: 0.1593, decode.d6.loss_mask: 0.4252, decode.d6.loss_dice: 0.6465, decode.d7.loss_cls: 0.1569, decode.d7.loss_mask: 0.4252, decode.d7.loss_dice: 0.6443, decode.d8.loss_cls: 0.1560, decode.d8.loss_mask: 0.4260, decode.d8.loss_dice: 0.6505, loss: 13.6821, grad_norm: 68.2483 2023-11-22 20:54:52,814 - mmseg - INFO - Iter [145400/160000] lr: 8.692e-07, eta: 2:22:31, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1660, decode.loss_mask: 0.4301, decode.loss_dice: 0.6672, decode.d0.loss_cls: 1.2698, decode.d0.loss_mask: 0.4645, decode.d0.loss_dice: 0.7409, decode.d1.loss_cls: 0.2520, decode.d1.loss_mask: 0.4456, decode.d1.loss_dice: 0.7021, decode.d2.loss_cls: 0.2040, decode.d2.loss_mask: 0.4371, decode.d2.loss_dice: 0.6822, decode.d3.loss_cls: 0.1915, decode.d3.loss_mask: 0.4320, decode.d3.loss_dice: 0.6685, decode.d4.loss_cls: 0.1820, decode.d4.loss_mask: 0.4320, decode.d4.loss_dice: 0.6711, decode.d5.loss_cls: 0.1767, decode.d5.loss_mask: 0.4322, decode.d5.loss_dice: 0.6718, decode.d6.loss_cls: 0.1780, decode.d6.loss_mask: 0.4304, decode.d6.loss_dice: 0.6649, decode.d7.loss_cls: 0.1742, decode.d7.loss_mask: 0.4298, decode.d7.loss_dice: 0.6678, decode.d8.loss_cls: 0.1703, decode.d8.loss_mask: 0.4292, decode.d8.loss_dice: 0.6650, loss: 14.1290, grad_norm: 67.9607 2023-11-22 20:55:21,068 - mmseg - INFO - Iter [145450/160000] lr: 8.662e-07, eta: 2:22:02, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1561, decode.loss_mask: 0.4291, decode.loss_dice: 0.6438, decode.d0.loss_cls: 1.2286, decode.d0.loss_mask: 0.4670, decode.d0.loss_dice: 0.7124, decode.d1.loss_cls: 0.2304, decode.d1.loss_mask: 0.4447, decode.d1.loss_dice: 0.6800, decode.d2.loss_cls: 0.1911, decode.d2.loss_mask: 0.4385, decode.d2.loss_dice: 0.6643, decode.d3.loss_cls: 0.1746, decode.d3.loss_mask: 0.4353, decode.d3.loss_dice: 0.6513, decode.d4.loss_cls: 0.1691, decode.d4.loss_mask: 0.4312, decode.d4.loss_dice: 0.6480, decode.d5.loss_cls: 0.1681, decode.d5.loss_mask: 0.4324, decode.d5.loss_dice: 0.6474, decode.d6.loss_cls: 0.1661, decode.d6.loss_mask: 0.4312, decode.d6.loss_dice: 0.6444, decode.d7.loss_cls: 0.1631, decode.d7.loss_mask: 0.4297, decode.d7.loss_dice: 0.6437, decode.d8.loss_cls: 0.1624, decode.d8.loss_mask: 0.4291, decode.d8.loss_dice: 0.6420, loss: 13.7554, grad_norm: 64.2441 2023-11-22 20:55:49,500 - mmseg - INFO - Iter [145500/160000] lr: 8.632e-07, eta: 2:21:32, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1572, decode.loss_mask: 0.4384, decode.loss_dice: 0.6351, decode.d0.loss_cls: 1.2244, decode.d0.loss_mask: 0.4758, decode.d0.loss_dice: 0.7052, decode.d1.loss_cls: 0.2256, decode.d1.loss_mask: 0.4552, decode.d1.loss_dice: 0.6783, decode.d2.loss_cls: 0.1852, decode.d2.loss_mask: 0.4441, decode.d2.loss_dice: 0.6583, decode.d3.loss_cls: 0.1750, decode.d3.loss_mask: 0.4396, decode.d3.loss_dice: 0.6444, decode.d4.loss_cls: 0.1693, decode.d4.loss_mask: 0.4404, decode.d4.loss_dice: 0.6432, decode.d5.loss_cls: 0.1610, decode.d5.loss_mask: 0.4409, decode.d5.loss_dice: 0.6394, decode.d6.loss_cls: 0.1596, decode.d6.loss_mask: 0.4389, decode.d6.loss_dice: 0.6354, decode.d7.loss_cls: 0.1564, decode.d7.loss_mask: 0.4390, decode.d7.loss_dice: 0.6401, decode.d8.loss_cls: 0.1532, decode.d8.loss_mask: 0.4382, decode.d8.loss_dice: 0.6373, loss: 13.7341, grad_norm: 64.2236 2023-11-22 20:56:17,882 - mmseg - INFO - Iter [145550/160000] lr: 8.603e-07, eta: 2:21:03, time: 0.568, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1383, decode.loss_mask: 0.4294, decode.loss_dice: 0.6320, decode.d0.loss_cls: 1.2281, decode.d0.loss_mask: 0.4615, decode.d0.loss_dice: 0.6972, decode.d1.loss_cls: 0.2101, decode.d1.loss_mask: 0.4407, decode.d1.loss_dice: 0.6684, decode.d2.loss_cls: 0.1695, decode.d2.loss_mask: 0.4349, decode.d2.loss_dice: 0.6531, decode.d3.loss_cls: 0.1555, decode.d3.loss_mask: 0.4315, decode.d3.loss_dice: 0.6401, decode.d4.loss_cls: 0.1475, decode.d4.loss_mask: 0.4302, decode.d4.loss_dice: 0.6383, decode.d5.loss_cls: 0.1452, decode.d5.loss_mask: 0.4297, decode.d5.loss_dice: 0.6333, decode.d6.loss_cls: 0.1457, decode.d6.loss_mask: 0.4309, decode.d6.loss_dice: 0.6324, decode.d7.loss_cls: 0.1442, decode.d7.loss_mask: 0.4289, decode.d7.loss_dice: 0.6349, decode.d8.loss_cls: 0.1396, decode.d8.loss_mask: 0.4296, decode.d8.loss_dice: 0.6327, loss: 13.4337, grad_norm: 63.5612 2023-11-22 20:56:46,628 - mmseg - INFO - Iter [145600/160000] lr: 8.573e-07, eta: 2:20:34, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1637, decode.loss_mask: 0.4119, decode.loss_dice: 0.6581, decode.d0.loss_cls: 1.2432, decode.d0.loss_mask: 0.4449, decode.d0.loss_dice: 0.7319, decode.d1.loss_cls: 0.2450, decode.d1.loss_mask: 0.4256, decode.d1.loss_dice: 0.6951, decode.d2.loss_cls: 0.1987, decode.d2.loss_mask: 0.4195, decode.d2.loss_dice: 0.6802, decode.d3.loss_cls: 0.1843, decode.d3.loss_mask: 0.4155, decode.d3.loss_dice: 0.6652, decode.d4.loss_cls: 0.1751, decode.d4.loss_mask: 0.4136, decode.d4.loss_dice: 0.6657, decode.d5.loss_cls: 0.1697, decode.d5.loss_mask: 0.4130, decode.d5.loss_dice: 0.6620, decode.d6.loss_cls: 0.1671, decode.d6.loss_mask: 0.4126, decode.d6.loss_dice: 0.6590, decode.d7.loss_cls: 0.1677, decode.d7.loss_mask: 0.4114, decode.d7.loss_dice: 0.6607, decode.d8.loss_cls: 0.1674, decode.d8.loss_mask: 0.4121, decode.d8.loss_dice: 0.6593, loss: 13.7992, grad_norm: 63.0604 2023-11-22 20:57:14,823 - mmseg - INFO - Iter [145650/160000] lr: 8.543e-07, eta: 2:20:04, time: 0.566, data_time: 0.015, memory: 38143, decode.loss_cls: 0.1631, decode.loss_mask: 0.4318, decode.loss_dice: 0.6501, decode.d0.loss_cls: 1.2447, decode.d0.loss_mask: 0.4627, decode.d0.loss_dice: 0.7162, decode.d1.loss_cls: 0.2304, decode.d1.loss_mask: 0.4466, decode.d1.loss_dice: 0.6852, decode.d2.loss_cls: 0.1930, decode.d2.loss_mask: 0.4385, decode.d2.loss_dice: 0.6659, decode.d3.loss_cls: 0.1797, decode.d3.loss_mask: 0.4337, decode.d3.loss_dice: 0.6558, decode.d4.loss_cls: 0.1714, decode.d4.loss_mask: 0.4324, decode.d4.loss_dice: 0.6522, decode.d5.loss_cls: 0.1705, decode.d5.loss_mask: 0.4322, decode.d5.loss_dice: 0.6549, decode.d6.loss_cls: 0.1645, decode.d6.loss_mask: 0.4319, decode.d6.loss_dice: 0.6509, decode.d7.loss_cls: 0.1635, decode.d7.loss_mask: 0.4320, decode.d7.loss_dice: 0.6497, decode.d8.loss_cls: 0.1621, decode.d8.loss_mask: 0.4321, decode.d8.loss_dice: 0.6538, loss: 13.8514, grad_norm: 65.1354 2023-11-22 20:57:43,078 - mmseg - INFO - Iter [145700/160000] lr: 8.513e-07, eta: 2:19:35, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1515, decode.loss_mask: 0.4294, decode.loss_dice: 0.6666, decode.d0.loss_cls: 1.2355, decode.d0.loss_mask: 0.4597, decode.d0.loss_dice: 0.7351, decode.d1.loss_cls: 0.2312, decode.d1.loss_mask: 0.4441, decode.d1.loss_dice: 0.6988, decode.d2.loss_cls: 0.1881, decode.d2.loss_mask: 0.4343, decode.d2.loss_dice: 0.6762, decode.d3.loss_cls: 0.1677, decode.d3.loss_mask: 0.4316, decode.d3.loss_dice: 0.6705, decode.d4.loss_cls: 0.1676, decode.d4.loss_mask: 0.4310, decode.d4.loss_dice: 0.6685, decode.d5.loss_cls: 0.1637, decode.d5.loss_mask: 0.4293, decode.d5.loss_dice: 0.6690, decode.d6.loss_cls: 0.1581, decode.d6.loss_mask: 0.4286, decode.d6.loss_dice: 0.6653, decode.d7.loss_cls: 0.1569, decode.d7.loss_mask: 0.4272, decode.d7.loss_dice: 0.6623, decode.d8.loss_cls: 0.1528, decode.d8.loss_mask: 0.4287, decode.d8.loss_dice: 0.6652, loss: 13.8947, grad_norm: 58.1246 2023-11-22 20:58:11,472 - mmseg - INFO - Iter [145750/160000] lr: 8.484e-07, eta: 2:19:05, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1651, decode.loss_mask: 0.4498, decode.loss_dice: 0.6804, decode.d0.loss_cls: 1.2486, decode.d0.loss_mask: 0.4874, decode.d0.loss_dice: 0.7430, decode.d1.loss_cls: 0.2448, decode.d1.loss_mask: 0.4669, decode.d1.loss_dice: 0.7104, decode.d2.loss_cls: 0.2022, decode.d2.loss_mask: 0.4591, decode.d2.loss_dice: 0.6968, decode.d3.loss_cls: 0.1882, decode.d3.loss_mask: 0.4534, decode.d3.loss_dice: 0.6837, decode.d4.loss_cls: 0.1753, decode.d4.loss_mask: 0.4531, decode.d4.loss_dice: 0.6828, decode.d5.loss_cls: 0.1734, decode.d5.loss_mask: 0.4514, decode.d5.loss_dice: 0.6793, decode.d6.loss_cls: 0.1711, decode.d6.loss_mask: 0.4505, decode.d6.loss_dice: 0.6777, decode.d7.loss_cls: 0.1665, decode.d7.loss_mask: 0.4489, decode.d7.loss_dice: 0.6797, decode.d8.loss_cls: 0.1681, decode.d8.loss_mask: 0.4491, decode.d8.loss_dice: 0.6759, loss: 14.3826, grad_norm: 68.9237 2023-11-22 20:58:39,949 - mmseg - INFO - Iter [145800/160000] lr: 8.454e-07, eta: 2:18:36, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1627, decode.loss_mask: 0.4277, decode.loss_dice: 0.6438, decode.d0.loss_cls: 1.2294, decode.d0.loss_mask: 0.4588, decode.d0.loss_dice: 0.7105, decode.d1.loss_cls: 0.2389, decode.d1.loss_mask: 0.4425, decode.d1.loss_dice: 0.6825, decode.d2.loss_cls: 0.1913, decode.d2.loss_mask: 0.4327, decode.d2.loss_dice: 0.6652, decode.d3.loss_cls: 0.1824, decode.d3.loss_mask: 0.4290, decode.d3.loss_dice: 0.6519, decode.d4.loss_cls: 0.1767, decode.d4.loss_mask: 0.4303, decode.d4.loss_dice: 0.6523, decode.d5.loss_cls: 0.1735, decode.d5.loss_mask: 0.4295, decode.d5.loss_dice: 0.6528, decode.d6.loss_cls: 0.1665, decode.d6.loss_mask: 0.4283, decode.d6.loss_dice: 0.6456, decode.d7.loss_cls: 0.1653, decode.d7.loss_mask: 0.4272, decode.d7.loss_dice: 0.6436, decode.d8.loss_cls: 0.1650, decode.d8.loss_mask: 0.4286, decode.d8.loss_dice: 0.6449, loss: 13.7795, grad_norm: 61.1582 2023-11-22 20:59:08,501 - mmseg - INFO - Iter [145850/160000] lr: 8.424e-07, eta: 2:18:07, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1576, decode.loss_mask: 0.4266, decode.loss_dice: 0.6449, decode.d0.loss_cls: 1.2533, decode.d0.loss_mask: 0.4598, decode.d0.loss_dice: 0.7157, decode.d1.loss_cls: 0.2269, decode.d1.loss_mask: 0.4411, decode.d1.loss_dice: 0.6806, decode.d2.loss_cls: 0.1849, decode.d2.loss_mask: 0.4380, decode.d2.loss_dice: 0.6627, decode.d3.loss_cls: 0.1708, decode.d3.loss_mask: 0.4311, decode.d3.loss_dice: 0.6539, decode.d4.loss_cls: 0.1625, decode.d4.loss_mask: 0.4307, decode.d4.loss_dice: 0.6537, decode.d5.loss_cls: 0.1617, decode.d5.loss_mask: 0.4304, decode.d5.loss_dice: 0.6501, decode.d6.loss_cls: 0.1587, decode.d6.loss_mask: 0.4287, decode.d6.loss_dice: 0.6472, decode.d7.loss_cls: 0.1572, decode.d7.loss_mask: 0.4281, decode.d7.loss_dice: 0.6467, decode.d8.loss_cls: 0.1563, decode.d8.loss_mask: 0.4272, decode.d8.loss_dice: 0.6454, loss: 13.7325, grad_norm: 64.0969 2023-11-22 20:59:36,917 - mmseg - INFO - Iter [145900/160000] lr: 8.394e-07, eta: 2:17:37, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1583, decode.loss_mask: 0.4351, decode.loss_dice: 0.6357, decode.d0.loss_cls: 1.2377, decode.d0.loss_mask: 0.4701, decode.d0.loss_dice: 0.7047, decode.d1.loss_cls: 0.2262, decode.d1.loss_mask: 0.4532, decode.d1.loss_dice: 0.6708, decode.d2.loss_cls: 0.1886, decode.d2.loss_mask: 0.4441, decode.d2.loss_dice: 0.6545, decode.d3.loss_cls: 0.1738, decode.d3.loss_mask: 0.4403, decode.d3.loss_dice: 0.6418, decode.d4.loss_cls: 0.1698, decode.d4.loss_mask: 0.4389, decode.d4.loss_dice: 0.6419, decode.d5.loss_cls: 0.1657, decode.d5.loss_mask: 0.4368, decode.d5.loss_dice: 0.6396, decode.d6.loss_cls: 0.1645, decode.d6.loss_mask: 0.4358, decode.d6.loss_dice: 0.6353, decode.d7.loss_cls: 0.1608, decode.d7.loss_mask: 0.4358, decode.d7.loss_dice: 0.6386, decode.d8.loss_cls: 0.1576, decode.d8.loss_mask: 0.4359, decode.d8.loss_dice: 0.6415, loss: 13.7335, grad_norm: 65.2674 2023-11-22 21:00:05,156 - mmseg - INFO - Iter [145950/160000] lr: 8.365e-07, eta: 2:17:08, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1577, decode.loss_mask: 0.4360, decode.loss_dice: 0.6696, decode.d0.loss_cls: 1.2663, decode.d0.loss_mask: 0.4670, decode.d0.loss_dice: 0.7376, decode.d1.loss_cls: 0.2519, decode.d1.loss_mask: 0.4487, decode.d1.loss_dice: 0.7049, decode.d2.loss_cls: 0.1990, decode.d2.loss_mask: 0.4424, decode.d2.loss_dice: 0.6874, decode.d3.loss_cls: 0.1864, decode.d3.loss_mask: 0.4389, decode.d3.loss_dice: 0.6729, decode.d4.loss_cls: 0.1733, decode.d4.loss_mask: 0.4371, decode.d4.loss_dice: 0.6731, decode.d5.loss_cls: 0.1690, decode.d5.loss_mask: 0.4363, decode.d5.loss_dice: 0.6752, decode.d6.loss_cls: 0.1608, decode.d6.loss_mask: 0.4371, decode.d6.loss_dice: 0.6707, decode.d7.loss_cls: 0.1654, decode.d7.loss_mask: 0.4346, decode.d7.loss_dice: 0.6680, decode.d8.loss_cls: 0.1597, decode.d8.loss_mask: 0.4350, decode.d8.loss_dice: 0.6688, loss: 14.1306, grad_norm: 63.5255 2023-11-22 21:00:33,443 - mmseg - INFO - Saving checkpoint at 146000 iterations 2023-11-22 21:00:41,303 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 21:00:41,303 - mmseg - INFO - Iter [146000/160000] lr: 8.335e-07, eta: 2:16:39, time: 0.723, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1593, decode.loss_mask: 0.4384, decode.loss_dice: 0.6563, decode.d0.loss_cls: 1.2536, decode.d0.loss_mask: 0.4750, decode.d0.loss_dice: 0.7316, decode.d1.loss_cls: 0.2411, decode.d1.loss_mask: 0.4543, decode.d1.loss_dice: 0.6941, decode.d2.loss_cls: 0.1958, decode.d2.loss_mask: 0.4468, decode.d2.loss_dice: 0.6780, decode.d3.loss_cls: 0.1754, decode.d3.loss_mask: 0.4430, decode.d3.loss_dice: 0.6641, decode.d4.loss_cls: 0.1683, decode.d4.loss_mask: 0.4413, decode.d4.loss_dice: 0.6639, decode.d5.loss_cls: 0.1706, decode.d5.loss_mask: 0.4403, decode.d5.loss_dice: 0.6618, decode.d6.loss_cls: 0.1642, decode.d6.loss_mask: 0.4405, decode.d6.loss_dice: 0.6610, decode.d7.loss_cls: 0.1605, decode.d7.loss_mask: 0.4405, decode.d7.loss_dice: 0.6613, decode.d8.loss_cls: 0.1585, decode.d8.loss_mask: 0.4380, decode.d8.loss_dice: 0.6562, loss: 14.0336, grad_norm: 67.9365 2023-11-22 21:01:00,980 - mmseg - INFO - per class results: 2023-11-22 21:01:00,985 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.21 | 88.89 | | building | 83.99 | 91.2 | | sky | 95.09 | 97.71 | | floor | 84.65 | 91.59 | | tree | 76.11 | 89.03 | | ceiling | 86.18 | 92.52 | | road | 85.87 | 92.6 | | bed | 91.0 | 95.21 | | windowpane | 65.87 | 82.1 | | grass | 68.48 | 79.29 | | cabinet | 63.28 | 73.57 | | sidewalk | 68.78 | 78.42 | | person | 86.28 | 93.52 | | earth | 38.67 | 53.19 | | door | 55.08 | 70.89 | | table | 70.63 | 83.96 | | mountain | 58.73 | 75.68 | | plant | 54.63 | 66.35 | | curtain | 74.53 | 87.07 | | chair | 65.66 | 77.92 | | car | 88.36 | 93.93 | | water | 53.41 | 64.02 | | painting | 77.5 | 91.1 | | sofa | 77.34 | 88.68 | | shelf | 44.66 | 62.57 | | house | 44.5 | 71.4 | | sea | 56.65 | 84.38 | | mirror | 74.09 | 83.82 | | rug | 66.68 | 80.01 | | field | 33.49 | 61.31 | | armchair | 55.55 | 74.76 | | seat | 64.89 | 85.94 | | fence | 54.82 | 71.03 | | desk | 56.51 | 78.21 | | rock | 46.85 | 61.06 | | wardrobe | 47.13 | 70.96 | | lamp | 73.05 | 82.37 | | bathtub | 73.64 | 86.18 | | railing | 38.8 | 55.44 | | cushion | 66.99 | 75.87 | | base | 39.27 | 63.28 | | box | 33.67 | 43.59 | | column | 52.12 | 70.39 | | signboard | 40.31 | 58.13 | | chest of drawers | 39.67 | 66.48 | | counter | 43.91 | 52.86 | | sand | 41.92 | 59.87 | | sink | 80.8 | 85.47 | | skyscraper | 60.68 | 79.44 | | fireplace | 75.42 | 88.81 | | refrigerator | 84.18 | 90.83 | | grandstand | 44.28 | 78.05 | | path | 26.62 | 42.95 | | stairs | 36.17 | 41.61 | | runway | 72.92 | 93.51 | | case | 53.54 | 75.99 | | pool table | 94.49 | 97.74 | | pillow | 66.98 | 80.04 | | screen door | 78.51 | 84.05 | | stairway | 38.0 | 53.09 | | river | 12.0 | 28.61 | | bridge | 78.86 | 91.79 | | bookcase | 31.33 | 48.38 | | blind | 44.34 | 50.34 | | coffee table | 73.68 | 86.79 | | toilet | 91.07 | 93.77 | | flower | 40.91 | 60.45 | | book | 53.25 | 77.23 | | hill | 9.05 | 15.5 | | bench | 63.52 | 72.52 | | countertop | 61.17 | 76.46 | | stove | 86.09 | 88.67 | | palm | 55.04 | 81.08 | | kitchen island | 56.28 | 79.85 | | computer | 74.5 | 83.04 | | swivel chair | 47.13 | 64.37 | | boat | 37.7 | 56.69 | | bar | 60.64 | 66.8 | | arcade machine | 65.13 | 68.99 | | hovel | 46.28 | 49.37 | | bus | 94.1 | 97.21 | | towel | 78.2 | 88.98 | | light | 66.58 | 78.81 | | truck | 46.87 | 55.69 | | tower | 44.34 | 75.82 | | chandelier | 69.24 | 84.53 | | awning | 39.04 | 51.73 | | streetlight | 49.17 | 63.09 | | booth | 61.2 | 69.13 | | television receiver | 79.32 | 88.07 | | airplane | 75.59 | 80.35 | | dirt track | 9.3 | 15.72 | | apparel | 47.04 | 68.27 | | pole | 41.31 | 66.7 | | land | 3.49 | 6.86 | | bannister | 20.11 | 30.84 | | escalator | 50.32 | 65.89 | | ottoman | 57.74 | 76.96 | | bottle | 40.56 | 69.53 | | buffet | 41.13 | 54.93 | | poster | 28.24 | 43.52 | | stage | 25.63 | 47.66 | | van | 45.47 | 70.93 | | ship | 37.9 | 69.37 | | fountain | 21.53 | 21.92 | | conveyer belt | 75.32 | 95.03 | | canopy | 29.05 | 52.65 | | washer | 76.99 | 80.92 | | plaything | 56.63 | 74.37 | | swimming pool | 66.15 | 71.59 | | stool | 56.78 | 74.73 | | barrel | 60.38 | 97.94 | | basket | 44.31 | 56.39 | | waterfall | 66.29 | 90.14 | | tent | 89.77 | 98.27 | | bag | 27.72 | 38.92 | | minibike | 71.95 | 90.44 | | cradle | 87.09 | 97.77 | | oven | 24.23 | 69.18 | | ball | 60.05 | 68.09 | | food | 60.68 | 68.07 | | step | 26.66 | 33.93 | | tank | 62.37 | 66.29 | | trade name | 27.77 | 33.1 | | microwave | 42.84 | 47.2 | | pot | 56.72 | 67.83 | | animal | 59.05 | 60.52 | | bicycle | 61.36 | 79.67 | | lake | 53.76 | 63.66 | | dishwasher | 77.79 | 83.91 | | screen | 56.38 | 92.02 | | blanket | 40.26 | 51.08 | | sculpture | 75.02 | 89.19 | | hood | 73.96 | 78.42 | | sconce | 62.47 | 75.63 | | vase | 55.68 | 74.26 | | traffic light | 48.98 | 72.9 | | tray | 22.8 | 33.88 | | ashcan | 51.64 | 75.04 | | fan | 72.08 | 85.15 | | pier | 52.2 | 55.55 | | crt screen | 2.51 | 7.49 | | plate | 64.96 | 81.11 | | monitor | 9.79 | 12.86 | | bulletin board | 60.89 | 80.7 | | shower | 13.32 | 25.42 | | radiator | 68.43 | 84.36 | | glass | 23.82 | 26.06 | | clock | 56.43 | 66.96 | | flag | 72.52 | 84.69 | +---------------------+-------+-------+ 2023-11-22 21:01:00,985 - mmseg - INFO - Summary: 2023-11-22 21:01:00,985 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.08 | 56.14 | 69.91 | +-------+-------+-------+ 2023-11-22 21:01:00,986 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 21:01:00,986 - mmseg - INFO - Iter(val) [250] aAcc: 0.8508, mIoU: 0.5614, mAcc: 0.6991, IoU.wall: 0.8121, IoU.building: 0.8399, IoU.sky: 0.9509, IoU.floor: 0.8465, IoU.tree: 0.7611, IoU.ceiling: 0.8618, IoU.road: 0.8587, IoU.bed : 0.9100, IoU.windowpane: 0.6587, IoU.grass: 0.6848, IoU.cabinet: 0.6328, IoU.sidewalk: 0.6878, IoU.person: 0.8628, IoU.earth: 0.3867, IoU.door: 0.5508, IoU.table: 0.7063, IoU.mountain: 0.5873, IoU.plant: 0.5463, IoU.curtain: 0.7453, IoU.chair: 0.6566, IoU.car: 0.8836, IoU.water: 0.5341, IoU.painting: 0.7750, IoU.sofa: 0.7734, IoU.shelf: 0.4466, IoU.house: 0.4450, IoU.sea: 0.5665, IoU.mirror: 0.7409, IoU.rug: 0.6668, IoU.field: 0.3349, IoU.armchair: 0.5555, IoU.seat: 0.6489, IoU.fence: 0.5482, IoU.desk: 0.5651, IoU.rock: 0.4685, IoU.wardrobe: 0.4713, IoU.lamp: 0.7305, IoU.bathtub: 0.7364, IoU.railing: 0.3880, IoU.cushion: 0.6699, IoU.base: 0.3927, IoU.box: 0.3367, IoU.column: 0.5212, IoU.signboard: 0.4031, IoU.chest of drawers: 0.3967, IoU.counter: 0.4391, IoU.sand: 0.4192, IoU.sink: 0.8080, IoU.skyscraper: 0.6068, IoU.fireplace: 0.7542, IoU.refrigerator: 0.8418, IoU.grandstand: 0.4428, IoU.path: 0.2662, IoU.stairs: 0.3617, IoU.runway: 0.7292, IoU.case: 0.5354, IoU.pool table: 0.9449, IoU.pillow: 0.6698, IoU.screen door: 0.7851, IoU.stairway: 0.3800, IoU.river: 0.1200, IoU.bridge: 0.7886, IoU.bookcase: 0.3133, IoU.blind: 0.4434, IoU.coffee table: 0.7368, IoU.toilet: 0.9107, IoU.flower: 0.4091, IoU.book: 0.5325, IoU.hill: 0.0905, IoU.bench: 0.6352, IoU.countertop: 0.6117, IoU.stove: 0.8609, IoU.palm: 0.5504, IoU.kitchen island: 0.5628, IoU.computer: 0.7450, IoU.swivel chair: 0.4713, IoU.boat: 0.3770, IoU.bar: 0.6064, IoU.arcade machine: 0.6513, IoU.hovel: 0.4628, IoU.bus: 0.9410, IoU.towel: 0.7820, IoU.light: 0.6658, IoU.truck: 0.4687, IoU.tower: 0.4434, IoU.chandelier: 0.6924, IoU.awning: 0.3904, IoU.streetlight: 0.4917, IoU.booth: 0.6120, IoU.television receiver: 0.7932, IoU.airplane: 0.7559, IoU.dirt track: 0.0930, IoU.apparel: 0.4704, IoU.pole: 0.4131, IoU.land: 0.0349, IoU.bannister: 0.2011, IoU.escalator: 0.5032, IoU.ottoman: 0.5774, IoU.bottle: 0.4056, IoU.buffet: 0.4113, IoU.poster: 0.2824, IoU.stage: 0.2563, IoU.van: 0.4547, IoU.ship: 0.3790, IoU.fountain: 0.2153, IoU.conveyer belt: 0.7532, IoU.canopy: 0.2905, IoU.washer: 0.7699, IoU.plaything: 0.5663, IoU.swimming pool: 0.6615, IoU.stool: 0.5678, IoU.barrel: 0.6038, IoU.basket: 0.4431, IoU.waterfall: 0.6629, IoU.tent: 0.8977, IoU.bag: 0.2772, IoU.minibike: 0.7195, IoU.cradle: 0.8709, IoU.oven: 0.2423, IoU.ball: 0.6005, IoU.food: 0.6068, IoU.step: 0.2666, IoU.tank: 0.6237, IoU.trade name: 0.2777, IoU.microwave: 0.4284, IoU.pot: 0.5672, IoU.animal: 0.5905, IoU.bicycle: 0.6136, IoU.lake: 0.5376, IoU.dishwasher: 0.7779, IoU.screen: 0.5638, IoU.blanket: 0.4026, IoU.sculpture: 0.7502, IoU.hood: 0.7396, IoU.sconce: 0.6247, IoU.vase: 0.5568, IoU.traffic light: 0.4898, IoU.tray: 0.2280, IoU.ashcan: 0.5164, IoU.fan: 0.7208, IoU.pier: 0.5220, IoU.crt screen: 0.0251, IoU.plate: 0.6496, IoU.monitor: 0.0979, IoU.bulletin board: 0.6089, IoU.shower: 0.1332, IoU.radiator: 0.6843, IoU.glass: 0.2382, IoU.clock: 0.5643, IoU.flag: 0.7252, Acc.wall: 0.8889, Acc.building: 0.9120, Acc.sky: 0.9771, Acc.floor: 0.9159, Acc.tree: 0.8903, Acc.ceiling: 0.9252, Acc.road: 0.9260, Acc.bed : 0.9521, Acc.windowpane: 0.8210, Acc.grass: 0.7929, Acc.cabinet: 0.7357, Acc.sidewalk: 0.7842, Acc.person: 0.9352, Acc.earth: 0.5319, Acc.door: 0.7089, Acc.table: 0.8396, Acc.mountain: 0.7568, Acc.plant: 0.6635, Acc.curtain: 0.8707, Acc.chair: 0.7792, Acc.car: 0.9393, Acc.water: 0.6402, Acc.painting: 0.9110, Acc.sofa: 0.8868, Acc.shelf: 0.6257, Acc.house: 0.7140, Acc.sea: 0.8438, Acc.mirror: 0.8382, Acc.rug: 0.8001, Acc.field: 0.6131, Acc.armchair: 0.7476, Acc.seat: 0.8594, Acc.fence: 0.7103, Acc.desk: 0.7821, Acc.rock: 0.6106, Acc.wardrobe: 0.7096, Acc.lamp: 0.8237, Acc.bathtub: 0.8618, Acc.railing: 0.5544, Acc.cushion: 0.7587, Acc.base: 0.6328, Acc.box: 0.4359, Acc.column: 0.7039, Acc.signboard: 0.5813, Acc.chest of drawers: 0.6648, Acc.counter: 0.5286, Acc.sand: 0.5987, Acc.sink: 0.8547, Acc.skyscraper: 0.7944, Acc.fireplace: 0.8881, Acc.refrigerator: 0.9083, Acc.grandstand: 0.7805, Acc.path: 0.4295, Acc.stairs: 0.4161, Acc.runway: 0.9351, Acc.case: 0.7599, Acc.pool table: 0.9774, Acc.pillow: 0.8004, Acc.screen door: 0.8405, Acc.stairway: 0.5309, Acc.river: 0.2861, Acc.bridge: 0.9179, Acc.bookcase: 0.4838, Acc.blind: 0.5034, Acc.coffee table: 0.8679, Acc.toilet: 0.9377, Acc.flower: 0.6045, Acc.book: 0.7723, Acc.hill: 0.1550, Acc.bench: 0.7252, Acc.countertop: 0.7646, Acc.stove: 0.8867, Acc.palm: 0.8108, Acc.kitchen island: 0.7985, Acc.computer: 0.8304, Acc.swivel chair: 0.6437, Acc.boat: 0.5669, Acc.bar: 0.6680, Acc.arcade machine: 0.6899, Acc.hovel: 0.4937, Acc.bus: 0.9721, Acc.towel: 0.8898, Acc.light: 0.7881, Acc.truck: 0.5569, Acc.tower: 0.7582, Acc.chandelier: 0.8453, Acc.awning: 0.5173, Acc.streetlight: 0.6309, Acc.booth: 0.6913, Acc.television receiver: 0.8807, Acc.airplane: 0.8035, Acc.dirt track: 0.1572, Acc.apparel: 0.6827, Acc.pole: 0.6670, Acc.land: 0.0686, Acc.bannister: 0.3084, Acc.escalator: 0.6589, Acc.ottoman: 0.7696, Acc.bottle: 0.6953, Acc.buffet: 0.5493, Acc.poster: 0.4352, Acc.stage: 0.4766, Acc.van: 0.7093, Acc.ship: 0.6937, Acc.fountain: 0.2192, Acc.conveyer belt: 0.9503, Acc.canopy: 0.5265, Acc.washer: 0.8092, Acc.plaything: 0.7437, Acc.swimming pool: 0.7159, Acc.stool: 0.7473, Acc.barrel: 0.9794, Acc.basket: 0.5639, Acc.waterfall: 0.9014, Acc.tent: 0.9827, Acc.bag: 0.3892, Acc.minibike: 0.9044, Acc.cradle: 0.9777, Acc.oven: 0.6918, Acc.ball: 0.6809, Acc.food: 0.6807, Acc.step: 0.3393, Acc.tank: 0.6629, Acc.trade name: 0.3310, Acc.microwave: 0.4720, Acc.pot: 0.6783, Acc.animal: 0.6052, Acc.bicycle: 0.7967, Acc.lake: 0.6366, Acc.dishwasher: 0.8391, Acc.screen: 0.9202, Acc.blanket: 0.5108, Acc.sculpture: 0.8919, Acc.hood: 0.7842, Acc.sconce: 0.7563, Acc.vase: 0.7426, Acc.traffic light: 0.7290, Acc.tray: 0.3388, Acc.ashcan: 0.7504, Acc.fan: 0.8515, Acc.pier: 0.5555, Acc.crt screen: 0.0749, Acc.plate: 0.8111, Acc.monitor: 0.1286, Acc.bulletin board: 0.8070, Acc.shower: 0.2542, Acc.radiator: 0.8436, Acc.glass: 0.2606, Acc.clock: 0.6696, Acc.flag: 0.8469 2023-11-22 21:01:29,354 - mmseg - INFO - Iter [146050/160000] lr: 8.305e-07, eta: 2:16:12, time: 0.961, data_time: 0.406, memory: 38143, decode.loss_cls: 0.1676, decode.loss_mask: 0.4271, decode.loss_dice: 0.6655, decode.d0.loss_cls: 1.2915, decode.d0.loss_mask: 0.4621, decode.d0.loss_dice: 0.7453, decode.d1.loss_cls: 0.2451, decode.d1.loss_mask: 0.4446, decode.d1.loss_dice: 0.7063, decode.d2.loss_cls: 0.2066, decode.d2.loss_mask: 0.4333, decode.d2.loss_dice: 0.6834, decode.d3.loss_cls: 0.1909, decode.d3.loss_mask: 0.4286, decode.d3.loss_dice: 0.6696, decode.d4.loss_cls: 0.1797, decode.d4.loss_mask: 0.4301, decode.d4.loss_dice: 0.6724, decode.d5.loss_cls: 0.1748, decode.d5.loss_mask: 0.4284, decode.d5.loss_dice: 0.6685, decode.d6.loss_cls: 0.1733, decode.d6.loss_mask: 0.4284, decode.d6.loss_dice: 0.6647, decode.d7.loss_cls: 0.1701, decode.d7.loss_mask: 0.4260, decode.d7.loss_dice: 0.6629, decode.d8.loss_cls: 0.1698, decode.d8.loss_mask: 0.4275, decode.d8.loss_dice: 0.6649, loss: 14.1091, grad_norm: 63.8502 2023-11-22 21:01:57,819 - mmseg - INFO - Iter [146100/160000] lr: 8.275e-07, eta: 2:15:43, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1624, decode.loss_mask: 0.4151, decode.loss_dice: 0.6650, decode.d0.loss_cls: 1.2396, decode.d0.loss_mask: 0.4494, decode.d0.loss_dice: 0.7391, decode.d1.loss_cls: 0.2356, decode.d1.loss_mask: 0.4291, decode.d1.loss_dice: 0.7003, decode.d2.loss_cls: 0.1973, decode.d2.loss_mask: 0.4220, decode.d2.loss_dice: 0.6788, decode.d3.loss_cls: 0.1775, decode.d3.loss_mask: 0.4184, decode.d3.loss_dice: 0.6710, decode.d4.loss_cls: 0.1756, decode.d4.loss_mask: 0.4173, decode.d4.loss_dice: 0.6684, decode.d5.loss_cls: 0.1713, decode.d5.loss_mask: 0.4172, decode.d5.loss_dice: 0.6704, decode.d6.loss_cls: 0.1667, decode.d6.loss_mask: 0.4174, decode.d6.loss_dice: 0.6638, decode.d7.loss_cls: 0.1665, decode.d7.loss_mask: 0.4150, decode.d7.loss_dice: 0.6685, decode.d8.loss_cls: 0.1619, decode.d8.loss_mask: 0.4156, decode.d8.loss_dice: 0.6680, loss: 13.8641, grad_norm: 63.8695 2023-11-22 21:02:26,169 - mmseg - INFO - Iter [146150/160000] lr: 8.246e-07, eta: 2:15:13, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1751, decode.loss_mask: 0.4262, decode.loss_dice: 0.6654, decode.d0.loss_cls: 1.2743, decode.d0.loss_mask: 0.4598, decode.d0.loss_dice: 0.7441, decode.d1.loss_cls: 0.2587, decode.d1.loss_mask: 0.4394, decode.d1.loss_dice: 0.6927, decode.d2.loss_cls: 0.2061, decode.d2.loss_mask: 0.4328, decode.d2.loss_dice: 0.6830, decode.d3.loss_cls: 0.1916, decode.d3.loss_mask: 0.4301, decode.d3.loss_dice: 0.6686, decode.d4.loss_cls: 0.1882, decode.d4.loss_mask: 0.4297, decode.d4.loss_dice: 0.6685, decode.d5.loss_cls: 0.1828, decode.d5.loss_mask: 0.4281, decode.d5.loss_dice: 0.6669, decode.d6.loss_cls: 0.1788, decode.d6.loss_mask: 0.4272, decode.d6.loss_dice: 0.6699, decode.d7.loss_cls: 0.1767, decode.d7.loss_mask: 0.4274, decode.d7.loss_dice: 0.6693, decode.d8.loss_cls: 0.1730, decode.d8.loss_mask: 0.4267, decode.d8.loss_dice: 0.6695, loss: 14.1307, grad_norm: 63.3492 2023-11-22 21:02:54,588 - mmseg - INFO - Iter [146200/160000] lr: 8.216e-07, eta: 2:14:44, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1462, decode.loss_mask: 0.4416, decode.loss_dice: 0.6485, decode.d0.loss_cls: 1.2033, decode.d0.loss_mask: 0.4791, decode.d0.loss_dice: 0.7115, decode.d1.loss_cls: 0.2126, decode.d1.loss_mask: 0.4591, decode.d1.loss_dice: 0.6837, decode.d2.loss_cls: 0.1787, decode.d2.loss_mask: 0.4484, decode.d2.loss_dice: 0.6678, decode.d3.loss_cls: 0.1640, decode.d3.loss_mask: 0.4434, decode.d3.loss_dice: 0.6595, decode.d4.loss_cls: 0.1554, decode.d4.loss_mask: 0.4434, decode.d4.loss_dice: 0.6554, decode.d5.loss_cls: 0.1516, decode.d5.loss_mask: 0.4417, decode.d5.loss_dice: 0.6549, decode.d6.loss_cls: 0.1520, decode.d6.loss_mask: 0.4420, decode.d6.loss_dice: 0.6518, decode.d7.loss_cls: 0.1484, decode.d7.loss_mask: 0.4414, decode.d7.loss_dice: 0.6534, decode.d8.loss_cls: 0.1429, decode.d8.loss_mask: 0.4415, decode.d8.loss_dice: 0.6526, loss: 13.7758, grad_norm: 63.9361 2023-11-22 21:03:22,765 - mmseg - INFO - Iter [146250/160000] lr: 8.186e-07, eta: 2:14:14, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1645, decode.loss_mask: 0.4317, decode.loss_dice: 0.6679, decode.d0.loss_cls: 1.2501, decode.d0.loss_mask: 0.4626, decode.d0.loss_dice: 0.7404, decode.d1.loss_cls: 0.2410, decode.d1.loss_mask: 0.4456, decode.d1.loss_dice: 0.7001, decode.d2.loss_cls: 0.1943, decode.d2.loss_mask: 0.4361, decode.d2.loss_dice: 0.6845, decode.d3.loss_cls: 0.1876, decode.d3.loss_mask: 0.4326, decode.d3.loss_dice: 0.6696, decode.d4.loss_cls: 0.1784, decode.d4.loss_mask: 0.4321, decode.d4.loss_dice: 0.6731, decode.d5.loss_cls: 0.1753, decode.d5.loss_mask: 0.4326, decode.d5.loss_dice: 0.6724, decode.d6.loss_cls: 0.1688, decode.d6.loss_mask: 0.4325, decode.d6.loss_dice: 0.6727, decode.d7.loss_cls: 0.1613, decode.d7.loss_mask: 0.4316, decode.d7.loss_dice: 0.6666, decode.d8.loss_cls: 0.1634, decode.d8.loss_mask: 0.4316, decode.d8.loss_dice: 0.6673, loss: 14.0683, grad_norm: 68.5796 2023-11-22 21:03:51,004 - mmseg - INFO - Iter [146300/160000] lr: 8.156e-07, eta: 2:13:45, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1686, decode.loss_mask: 0.4159, decode.loss_dice: 0.6502, decode.d0.loss_cls: 1.2632, decode.d0.loss_mask: 0.4436, decode.d0.loss_dice: 0.7114, decode.d1.loss_cls: 0.2520, decode.d1.loss_mask: 0.4309, decode.d1.loss_dice: 0.6775, decode.d2.loss_cls: 0.2051, decode.d2.loss_mask: 0.4240, decode.d2.loss_dice: 0.6644, decode.d3.loss_cls: 0.1908, decode.d3.loss_mask: 0.4193, decode.d3.loss_dice: 0.6513, decode.d4.loss_cls: 0.1826, decode.d4.loss_mask: 0.4172, decode.d4.loss_dice: 0.6528, decode.d5.loss_cls: 0.1773, decode.d5.loss_mask: 0.4174, decode.d5.loss_dice: 0.6506, decode.d6.loss_cls: 0.1737, decode.d6.loss_mask: 0.4174, decode.d6.loss_dice: 0.6501, decode.d7.loss_cls: 0.1731, decode.d7.loss_mask: 0.4159, decode.d7.loss_dice: 0.6466, decode.d8.loss_cls: 0.1709, decode.d8.loss_mask: 0.4148, decode.d8.loss_dice: 0.6461, loss: 13.7747, grad_norm: 64.8708 2023-11-22 21:04:19,366 - mmseg - INFO - Iter [146350/160000] lr: 8.126e-07, eta: 2:13:16, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1422, decode.loss_mask: 0.4414, decode.loss_dice: 0.6335, decode.d0.loss_cls: 1.2149, decode.d0.loss_mask: 0.4773, decode.d0.loss_dice: 0.6984, decode.d1.loss_cls: 0.2009, decode.d1.loss_mask: 0.4588, decode.d1.loss_dice: 0.6746, decode.d2.loss_cls: 0.1664, decode.d2.loss_mask: 0.4544, decode.d2.loss_dice: 0.6565, decode.d3.loss_cls: 0.1568, decode.d3.loss_mask: 0.4462, decode.d3.loss_dice: 0.6412, decode.d4.loss_cls: 0.1515, decode.d4.loss_mask: 0.4445, decode.d4.loss_dice: 0.6383, decode.d5.loss_cls: 0.1513, decode.d5.loss_mask: 0.4435, decode.d5.loss_dice: 0.6392, decode.d6.loss_cls: 0.1528, decode.d6.loss_mask: 0.4426, decode.d6.loss_dice: 0.6333, decode.d7.loss_cls: 0.1442, decode.d7.loss_mask: 0.4423, decode.d7.loss_dice: 0.6351, decode.d8.loss_cls: 0.1430, decode.d8.loss_mask: 0.4418, decode.d8.loss_dice: 0.6370, loss: 13.6039, grad_norm: 69.2444 2023-11-22 21:04:47,724 - mmseg - INFO - Iter [146400/160000] lr: 8.097e-07, eta: 2:12:46, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1508, decode.loss_mask: 0.4124, decode.loss_dice: 0.6529, decode.d0.loss_cls: 1.2623, decode.d0.loss_mask: 0.4488, decode.d0.loss_dice: 0.7246, decode.d1.loss_cls: 0.2366, decode.d1.loss_mask: 0.4274, decode.d1.loss_dice: 0.6870, decode.d2.loss_cls: 0.1879, decode.d2.loss_mask: 0.4200, decode.d2.loss_dice: 0.6700, decode.d3.loss_cls: 0.1726, decode.d3.loss_mask: 0.4170, decode.d3.loss_dice: 0.6587, decode.d4.loss_cls: 0.1654, decode.d4.loss_mask: 0.4159, decode.d4.loss_dice: 0.6560, decode.d5.loss_cls: 0.1637, decode.d5.loss_mask: 0.4146, decode.d5.loss_dice: 0.6530, decode.d6.loss_cls: 0.1576, decode.d6.loss_mask: 0.4133, decode.d6.loss_dice: 0.6494, decode.d7.loss_cls: 0.1525, decode.d7.loss_mask: 0.4121, decode.d7.loss_dice: 0.6491, decode.d8.loss_cls: 0.1546, decode.d8.loss_mask: 0.4111, decode.d8.loss_dice: 0.6516, loss: 13.6490, grad_norm: 66.2431 2023-11-22 21:05:16,210 - mmseg - INFO - Iter [146450/160000] lr: 8.067e-07, eta: 2:12:17, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1547, decode.loss_mask: 0.4231, decode.loss_dice: 0.6375, decode.d0.loss_cls: 1.2378, decode.d0.loss_mask: 0.4593, decode.d0.loss_dice: 0.7129, decode.d1.loss_cls: 0.2344, decode.d1.loss_mask: 0.4388, decode.d1.loss_dice: 0.6737, decode.d2.loss_cls: 0.1842, decode.d2.loss_mask: 0.4305, decode.d2.loss_dice: 0.6542, decode.d3.loss_cls: 0.1719, decode.d3.loss_mask: 0.4266, decode.d3.loss_dice: 0.6440, decode.d4.loss_cls: 0.1664, decode.d4.loss_mask: 0.4258, decode.d4.loss_dice: 0.6457, decode.d5.loss_cls: 0.1584, decode.d5.loss_mask: 0.4242, decode.d5.loss_dice: 0.6440, decode.d6.loss_cls: 0.1560, decode.d6.loss_mask: 0.4240, decode.d6.loss_dice: 0.6431, decode.d7.loss_cls: 0.1509, decode.d7.loss_mask: 0.4238, decode.d7.loss_dice: 0.6386, decode.d8.loss_cls: 0.1530, decode.d8.loss_mask: 0.4237, decode.d8.loss_dice: 0.6402, loss: 13.6015, grad_norm: 66.4026 2023-11-22 21:05:44,653 - mmseg - INFO - Iter [146500/160000] lr: 8.037e-07, eta: 2:11:48, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1618, decode.loss_mask: 0.4417, decode.loss_dice: 0.6689, decode.d0.loss_cls: 1.2425, decode.d0.loss_mask: 0.4705, decode.d0.loss_dice: 0.7359, decode.d1.loss_cls: 0.2385, decode.d1.loss_mask: 0.4560, decode.d1.loss_dice: 0.6973, decode.d2.loss_cls: 0.1923, decode.d2.loss_mask: 0.4489, decode.d2.loss_dice: 0.6893, decode.d3.loss_cls: 0.1759, decode.d3.loss_mask: 0.4479, decode.d3.loss_dice: 0.6726, decode.d4.loss_cls: 0.1699, decode.d4.loss_mask: 0.4447, decode.d4.loss_dice: 0.6728, decode.d5.loss_cls: 0.1692, decode.d5.loss_mask: 0.4434, decode.d5.loss_dice: 0.6698, decode.d6.loss_cls: 0.1668, decode.d6.loss_mask: 0.4427, decode.d6.loss_dice: 0.6687, decode.d7.loss_cls: 0.1612, decode.d7.loss_mask: 0.4435, decode.d7.loss_dice: 0.6727, decode.d8.loss_cls: 0.1609, decode.d8.loss_mask: 0.4413, decode.d8.loss_dice: 0.6672, loss: 14.1351, grad_norm: 71.0715 2023-11-22 21:06:15,507 - mmseg - INFO - Iter [146550/160000] lr: 8.007e-07, eta: 2:11:18, time: 0.617, data_time: 0.058, memory: 38143, decode.loss_cls: 0.1509, decode.loss_mask: 0.4347, decode.loss_dice: 0.6657, decode.d0.loss_cls: 1.2179, decode.d0.loss_mask: 0.4672, decode.d0.loss_dice: 0.7253, decode.d1.loss_cls: 0.2282, decode.d1.loss_mask: 0.4522, decode.d1.loss_dice: 0.6965, decode.d2.loss_cls: 0.1832, decode.d2.loss_mask: 0.4411, decode.d2.loss_dice: 0.6806, decode.d3.loss_cls: 0.1714, decode.d3.loss_mask: 0.4389, decode.d3.loss_dice: 0.6711, decode.d4.loss_cls: 0.1660, decode.d4.loss_mask: 0.4382, decode.d4.loss_dice: 0.6715, decode.d5.loss_cls: 0.1567, decode.d5.loss_mask: 0.4382, decode.d5.loss_dice: 0.6716, decode.d6.loss_cls: 0.1569, decode.d6.loss_mask: 0.4361, decode.d6.loss_dice: 0.6677, decode.d7.loss_cls: 0.1542, decode.d7.loss_mask: 0.4345, decode.d7.loss_dice: 0.6651, decode.d8.loss_cls: 0.1546, decode.d8.loss_mask: 0.4353, decode.d8.loss_dice: 0.6671, loss: 13.9386, grad_norm: 65.2730 2023-11-22 21:06:43,842 - mmseg - INFO - Iter [146600/160000] lr: 7.978e-07, eta: 2:10:49, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1484, decode.loss_mask: 0.4288, decode.loss_dice: 0.6454, decode.d0.loss_cls: 1.2036, decode.d0.loss_mask: 0.4635, decode.d0.loss_dice: 0.7127, decode.d1.loss_cls: 0.2186, decode.d1.loss_mask: 0.4464, decode.d1.loss_dice: 0.6776, decode.d2.loss_cls: 0.1895, decode.d2.loss_mask: 0.4371, decode.d2.loss_dice: 0.6633, decode.d3.loss_cls: 0.1673, decode.d3.loss_mask: 0.4318, decode.d3.loss_dice: 0.6501, decode.d4.loss_cls: 0.1611, decode.d4.loss_mask: 0.4304, decode.d4.loss_dice: 0.6517, decode.d5.loss_cls: 0.1577, decode.d5.loss_mask: 0.4297, decode.d5.loss_dice: 0.6486, decode.d6.loss_cls: 0.1498, decode.d6.loss_mask: 0.4285, decode.d6.loss_dice: 0.6457, decode.d7.loss_cls: 0.1487, decode.d7.loss_mask: 0.4278, decode.d7.loss_dice: 0.6423, decode.d8.loss_cls: 0.1489, decode.d8.loss_mask: 0.4288, decode.d8.loss_dice: 0.6428, loss: 13.6265, grad_norm: 62.1430 2023-11-22 21:07:12,109 - mmseg - INFO - Iter [146650/160000] lr: 7.948e-07, eta: 2:10:20, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1517, decode.loss_mask: 0.4306, decode.loss_dice: 0.6369, decode.d0.loss_cls: 1.2256, decode.d0.loss_mask: 0.4587, decode.d0.loss_dice: 0.6941, decode.d1.loss_cls: 0.2219, decode.d1.loss_mask: 0.4460, decode.d1.loss_dice: 0.6663, decode.d2.loss_cls: 0.1786, decode.d2.loss_mask: 0.4387, decode.d2.loss_dice: 0.6498, decode.d3.loss_cls: 0.1710, decode.d3.loss_mask: 0.4333, decode.d3.loss_dice: 0.6405, decode.d4.loss_cls: 0.1617, decode.d4.loss_mask: 0.4331, decode.d4.loss_dice: 0.6395, decode.d5.loss_cls: 0.1544, decode.d5.loss_mask: 0.4338, decode.d5.loss_dice: 0.6398, decode.d6.loss_cls: 0.1541, decode.d6.loss_mask: 0.4309, decode.d6.loss_dice: 0.6323, decode.d7.loss_cls: 0.1516, decode.d7.loss_mask: 0.4316, decode.d7.loss_dice: 0.6396, decode.d8.loss_cls: 0.1527, decode.d8.loss_mask: 0.4315, decode.d8.loss_dice: 0.6361, loss: 13.5662, grad_norm: 66.7988 2023-11-22 21:07:40,780 - mmseg - INFO - Iter [146700/160000] lr: 7.918e-07, eta: 2:09:50, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1648, decode.loss_mask: 0.4436, decode.loss_dice: 0.6693, decode.d0.loss_cls: 1.2564, decode.d0.loss_mask: 0.4758, decode.d0.loss_dice: 0.7459, decode.d1.loss_cls: 0.2418, decode.d1.loss_mask: 0.4594, decode.d1.loss_dice: 0.7120, decode.d2.loss_cls: 0.1962, decode.d2.loss_mask: 0.4503, decode.d2.loss_dice: 0.6871, decode.d3.loss_cls: 0.1833, decode.d3.loss_mask: 0.4477, decode.d3.loss_dice: 0.6759, decode.d4.loss_cls: 0.1772, decode.d4.loss_mask: 0.4453, decode.d4.loss_dice: 0.6721, decode.d5.loss_cls: 0.1707, decode.d5.loss_mask: 0.4433, decode.d5.loss_dice: 0.6694, decode.d6.loss_cls: 0.1678, decode.d6.loss_mask: 0.4439, decode.d6.loss_dice: 0.6685, decode.d7.loss_cls: 0.1641, decode.d7.loss_mask: 0.4435, decode.d7.loss_dice: 0.6732, decode.d8.loss_cls: 0.1688, decode.d8.loss_mask: 0.4427, decode.d8.loss_dice: 0.6667, loss: 14.2267, grad_norm: 68.9652 2023-11-22 21:08:09,221 - mmseg - INFO - Iter [146750/160000] lr: 7.888e-07, eta: 2:09:21, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1590, decode.loss_mask: 0.4226, decode.loss_dice: 0.6500, decode.d0.loss_cls: 1.2403, decode.d0.loss_mask: 0.4616, decode.d0.loss_dice: 0.7243, decode.d1.loss_cls: 0.2286, decode.d1.loss_mask: 0.4398, decode.d1.loss_dice: 0.6886, decode.d2.loss_cls: 0.1911, decode.d2.loss_mask: 0.4315, decode.d2.loss_dice: 0.6668, decode.d3.loss_cls: 0.1768, decode.d3.loss_mask: 0.4268, decode.d3.loss_dice: 0.6560, decode.d4.loss_cls: 0.1649, decode.d4.loss_mask: 0.4271, decode.d4.loss_dice: 0.6543, decode.d5.loss_cls: 0.1634, decode.d5.loss_mask: 0.4248, decode.d5.loss_dice: 0.6541, decode.d6.loss_cls: 0.1614, decode.d6.loss_mask: 0.4237, decode.d6.loss_dice: 0.6504, decode.d7.loss_cls: 0.1561, decode.d7.loss_mask: 0.4241, decode.d7.loss_dice: 0.6521, decode.d8.loss_cls: 0.1584, decode.d8.loss_mask: 0.4230, decode.d8.loss_dice: 0.6523, loss: 13.7539, grad_norm: 61.1401 2023-11-22 21:08:37,758 - mmseg - INFO - Iter [146800/160000] lr: 7.859e-07, eta: 2:08:52, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1578, decode.loss_mask: 0.4323, decode.loss_dice: 0.6515, decode.d0.loss_cls: 1.2591, decode.d0.loss_mask: 0.4652, decode.d0.loss_dice: 0.7168, decode.d1.loss_cls: 0.2382, decode.d1.loss_mask: 0.4441, decode.d1.loss_dice: 0.6871, decode.d2.loss_cls: 0.1945, decode.d2.loss_mask: 0.4390, decode.d2.loss_dice: 0.6666, decode.d3.loss_cls: 0.1755, decode.d3.loss_mask: 0.4367, decode.d3.loss_dice: 0.6595, decode.d4.loss_cls: 0.1672, decode.d4.loss_mask: 0.4347, decode.d4.loss_dice: 0.6565, decode.d5.loss_cls: 0.1641, decode.d5.loss_mask: 0.4347, decode.d5.loss_dice: 0.6553, decode.d6.loss_cls: 0.1659, decode.d6.loss_mask: 0.4325, decode.d6.loss_dice: 0.6528, decode.d7.loss_cls: 0.1609, decode.d7.loss_mask: 0.4327, decode.d7.loss_dice: 0.6537, decode.d8.loss_cls: 0.1582, decode.d8.loss_mask: 0.4310, decode.d8.loss_dice: 0.6516, loss: 13.8758, grad_norm: 67.8801 2023-11-22 21:09:06,214 - mmseg - INFO - Iter [146850/160000] lr: 7.829e-07, eta: 2:08:22, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1690, decode.loss_mask: 0.4328, decode.loss_dice: 0.6615, decode.d0.loss_cls: 1.2730, decode.d0.loss_mask: 0.4625, decode.d0.loss_dice: 0.7343, decode.d1.loss_cls: 0.2448, decode.d1.loss_mask: 0.4486, decode.d1.loss_dice: 0.7010, decode.d2.loss_cls: 0.2084, decode.d2.loss_mask: 0.4389, decode.d2.loss_dice: 0.6824, decode.d3.loss_cls: 0.1875, decode.d3.loss_mask: 0.4362, decode.d3.loss_dice: 0.6690, decode.d4.loss_cls: 0.1811, decode.d4.loss_mask: 0.4345, decode.d4.loss_dice: 0.6682, decode.d5.loss_cls: 0.1819, decode.d5.loss_mask: 0.4348, decode.d5.loss_dice: 0.6711, decode.d6.loss_cls: 0.1768, decode.d6.loss_mask: 0.4322, decode.d6.loss_dice: 0.6557, decode.d7.loss_cls: 0.1698, decode.d7.loss_mask: 0.4324, decode.d7.loss_dice: 0.6643, decode.d8.loss_cls: 0.1663, decode.d8.loss_mask: 0.4326, decode.d8.loss_dice: 0.6637, loss: 14.1151, grad_norm: 66.4192 2023-11-22 21:09:34,451 - mmseg - INFO - Iter [146900/160000] lr: 7.799e-07, eta: 2:07:53, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1517, decode.loss_mask: 0.4369, decode.loss_dice: 0.6565, decode.d0.loss_cls: 1.2424, decode.d0.loss_mask: 0.4695, decode.d0.loss_dice: 0.7165, decode.d1.loss_cls: 0.2296, decode.d1.loss_mask: 0.4541, decode.d1.loss_dice: 0.6885, decode.d2.loss_cls: 0.1789, decode.d2.loss_mask: 0.4447, decode.d2.loss_dice: 0.6774, decode.d3.loss_cls: 0.1619, decode.d3.loss_mask: 0.4420, decode.d3.loss_dice: 0.6680, decode.d4.loss_cls: 0.1601, decode.d4.loss_mask: 0.4411, decode.d4.loss_dice: 0.6620, decode.d5.loss_cls: 0.1565, decode.d5.loss_mask: 0.4406, decode.d5.loss_dice: 0.6603, decode.d6.loss_cls: 0.1549, decode.d6.loss_mask: 0.4387, decode.d6.loss_dice: 0.6564, decode.d7.loss_cls: 0.1502, decode.d7.loss_mask: 0.4382, decode.d7.loss_dice: 0.6578, decode.d8.loss_cls: 0.1472, decode.d8.loss_mask: 0.4383, decode.d8.loss_dice: 0.6581, loss: 13.8791, grad_norm: 60.9395 2023-11-22 21:10:02,735 - mmseg - INFO - Iter [146950/160000] lr: 7.769e-07, eta: 2:07:23, time: 0.566, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1700, decode.loss_mask: 0.4088, decode.loss_dice: 0.6531, decode.d0.loss_cls: 1.2710, decode.d0.loss_mask: 0.4418, decode.d0.loss_dice: 0.7242, decode.d1.loss_cls: 0.2514, decode.d1.loss_mask: 0.4254, decode.d1.loss_dice: 0.6848, decode.d2.loss_cls: 0.2147, decode.d2.loss_mask: 0.4145, decode.d2.loss_dice: 0.6681, decode.d3.loss_cls: 0.1955, decode.d3.loss_mask: 0.4107, decode.d3.loss_dice: 0.6543, decode.d4.loss_cls: 0.1853, decode.d4.loss_mask: 0.4106, decode.d4.loss_dice: 0.6526, decode.d5.loss_cls: 0.1801, decode.d5.loss_mask: 0.4108, decode.d5.loss_dice: 0.6558, decode.d6.loss_cls: 0.1760, decode.d6.loss_mask: 0.4101, decode.d6.loss_dice: 0.6539, decode.d7.loss_cls: 0.1724, decode.d7.loss_mask: 0.4092, decode.d7.loss_dice: 0.6506, decode.d8.loss_cls: 0.1701, decode.d8.loss_mask: 0.4093, decode.d8.loss_dice: 0.6562, loss: 13.7914, grad_norm: 64.2338 2023-11-22 21:10:31,314 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 21:10:31,315 - mmseg - INFO - Iter [147000/160000] lr: 7.740e-07, eta: 2:06:54, time: 0.572, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1630, decode.loss_mask: 0.4151, decode.loss_dice: 0.6552, decode.d0.loss_cls: 1.2799, decode.d0.loss_mask: 0.4504, decode.d0.loss_dice: 0.7249, decode.d1.loss_cls: 0.2451, decode.d1.loss_mask: 0.4313, decode.d1.loss_dice: 0.6787, decode.d2.loss_cls: 0.1972, decode.d2.loss_mask: 0.4242, decode.d2.loss_dice: 0.6747, decode.d3.loss_cls: 0.1768, decode.d3.loss_mask: 0.4177, decode.d3.loss_dice: 0.6600, decode.d4.loss_cls: 0.1719, decode.d4.loss_mask: 0.4171, decode.d4.loss_dice: 0.6572, decode.d5.loss_cls: 0.1710, decode.d5.loss_mask: 0.4163, decode.d5.loss_dice: 0.6588, decode.d6.loss_cls: 0.1634, decode.d6.loss_mask: 0.4155, decode.d6.loss_dice: 0.6528, decode.d7.loss_cls: 0.1618, decode.d7.loss_mask: 0.4150, decode.d7.loss_dice: 0.6534, decode.d8.loss_cls: 0.1626, decode.d8.loss_mask: 0.4154, decode.d8.loss_dice: 0.6528, loss: 13.7790, grad_norm: 61.7568 2023-11-22 21:10:59,828 - mmseg - INFO - Iter [147050/160000] lr: 7.710e-07, eta: 2:06:25, time: 0.570, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1572, decode.loss_mask: 0.4422, decode.loss_dice: 0.6580, decode.d0.loss_cls: 1.2523, decode.d0.loss_mask: 0.4730, decode.d0.loss_dice: 0.7251, decode.d1.loss_cls: 0.2237, decode.d1.loss_mask: 0.4581, decode.d1.loss_dice: 0.6973, decode.d2.loss_cls: 0.1911, decode.d2.loss_mask: 0.4500, decode.d2.loss_dice: 0.6816, decode.d3.loss_cls: 0.1778, decode.d3.loss_mask: 0.4444, decode.d3.loss_dice: 0.6627, decode.d4.loss_cls: 0.1707, decode.d4.loss_mask: 0.4436, decode.d4.loss_dice: 0.6640, decode.d5.loss_cls: 0.1617, decode.d5.loss_mask: 0.4427, decode.d5.loss_dice: 0.6655, decode.d6.loss_cls: 0.1637, decode.d6.loss_mask: 0.4417, decode.d6.loss_dice: 0.6595, decode.d7.loss_cls: 0.1566, decode.d7.loss_mask: 0.4428, decode.d7.loss_dice: 0.6608, decode.d8.loss_cls: 0.1592, decode.d8.loss_mask: 0.4427, decode.d8.loss_dice: 0.6589, loss: 14.0285, grad_norm: 71.5848 2023-11-22 21:11:28,157 - mmseg - INFO - Iter [147100/160000] lr: 7.680e-07, eta: 2:05:55, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1591, decode.loss_mask: 0.4246, decode.loss_dice: 0.6436, decode.d0.loss_cls: 1.2406, decode.d0.loss_mask: 0.4549, decode.d0.loss_dice: 0.7103, decode.d1.loss_cls: 0.2375, decode.d1.loss_mask: 0.4410, decode.d1.loss_dice: 0.6727, decode.d2.loss_cls: 0.1923, decode.d2.loss_mask: 0.4328, decode.d2.loss_dice: 0.6625, decode.d3.loss_cls: 0.1726, decode.d3.loss_mask: 0.4289, decode.d3.loss_dice: 0.6511, decode.d4.loss_cls: 0.1690, decode.d4.loss_mask: 0.4271, decode.d4.loss_dice: 0.6498, decode.d5.loss_cls: 0.1668, decode.d5.loss_mask: 0.4274, decode.d5.loss_dice: 0.6511, decode.d6.loss_cls: 0.1596, decode.d6.loss_mask: 0.4262, decode.d6.loss_dice: 0.6466, decode.d7.loss_cls: 0.1586, decode.d7.loss_mask: 0.4262, decode.d7.loss_dice: 0.6495, decode.d8.loss_cls: 0.1590, decode.d8.loss_mask: 0.4252, decode.d8.loss_dice: 0.6473, loss: 13.7140, grad_norm: 58.4252 2023-11-22 21:11:56,568 - mmseg - INFO - Iter [147150/160000] lr: 7.650e-07, eta: 2:05:26, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1549, decode.loss_mask: 0.4202, decode.loss_dice: 0.6424, decode.d0.loss_cls: 1.2572, decode.d0.loss_mask: 0.4449, decode.d0.loss_dice: 0.7060, decode.d1.loss_cls: 0.2278, decode.d1.loss_mask: 0.4362, decode.d1.loss_dice: 0.6743, decode.d2.loss_cls: 0.1859, decode.d2.loss_mask: 0.4283, decode.d2.loss_dice: 0.6611, decode.d3.loss_cls: 0.1696, decode.d3.loss_mask: 0.4238, decode.d3.loss_dice: 0.6500, decode.d4.loss_cls: 0.1637, decode.d4.loss_mask: 0.4226, decode.d4.loss_dice: 0.6471, decode.d5.loss_cls: 0.1641, decode.d5.loss_mask: 0.4226, decode.d5.loss_dice: 0.6467, decode.d6.loss_cls: 0.1578, decode.d6.loss_mask: 0.4222, decode.d6.loss_dice: 0.6449, decode.d7.loss_cls: 0.1588, decode.d7.loss_mask: 0.4227, decode.d7.loss_dice: 0.6427, decode.d8.loss_cls: 0.1590, decode.d8.loss_mask: 0.4213, decode.d8.loss_dice: 0.6427, loss: 13.6213, grad_norm: 61.8880 2023-11-22 21:12:24,998 - mmseg - INFO - Iter [147200/160000] lr: 7.620e-07, eta: 2:04:57, time: 0.569, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1547, decode.loss_mask: 0.4159, decode.loss_dice: 0.6420, decode.d0.loss_cls: 1.2302, decode.d0.loss_mask: 0.4477, decode.d0.loss_dice: 0.7053, decode.d1.loss_cls: 0.2312, decode.d1.loss_mask: 0.4291, decode.d1.loss_dice: 0.6661, decode.d2.loss_cls: 0.1924, decode.d2.loss_mask: 0.4223, decode.d2.loss_dice: 0.6555, decode.d3.loss_cls: 0.1715, decode.d3.loss_mask: 0.4202, decode.d3.loss_dice: 0.6435, decode.d4.loss_cls: 0.1658, decode.d4.loss_mask: 0.4194, decode.d4.loss_dice: 0.6448, decode.d5.loss_cls: 0.1600, decode.d5.loss_mask: 0.4185, decode.d5.loss_dice: 0.6459, decode.d6.loss_cls: 0.1619, decode.d6.loss_mask: 0.4170, decode.d6.loss_dice: 0.6410, decode.d7.loss_cls: 0.1589, decode.d7.loss_mask: 0.4158, decode.d7.loss_dice: 0.6407, decode.d8.loss_cls: 0.1576, decode.d8.loss_mask: 0.4164, decode.d8.loss_dice: 0.6419, loss: 13.5331, grad_norm: 63.4757 2023-11-22 21:12:53,155 - mmseg - INFO - Iter [147250/160000] lr: 7.591e-07, eta: 2:04:27, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1501, decode.loss_mask: 0.4246, decode.loss_dice: 0.6419, decode.d0.loss_cls: 1.2528, decode.d0.loss_mask: 0.4579, decode.d0.loss_dice: 0.7131, decode.d1.loss_cls: 0.2242, decode.d1.loss_mask: 0.4432, decode.d1.loss_dice: 0.6751, decode.d2.loss_cls: 0.1843, decode.d2.loss_mask: 0.4337, decode.d2.loss_dice: 0.6596, decode.d3.loss_cls: 0.1685, decode.d3.loss_mask: 0.4294, decode.d3.loss_dice: 0.6520, decode.d4.loss_cls: 0.1626, decode.d4.loss_mask: 0.4289, decode.d4.loss_dice: 0.6511, decode.d5.loss_cls: 0.1584, decode.d5.loss_mask: 0.4284, decode.d5.loss_dice: 0.6483, decode.d6.loss_cls: 0.1582, decode.d6.loss_mask: 0.4272, decode.d6.loss_dice: 0.6484, decode.d7.loss_cls: 0.1538, decode.d7.loss_mask: 0.4263, decode.d7.loss_dice: 0.6489, decode.d8.loss_cls: 0.1546, decode.d8.loss_mask: 0.4255, decode.d8.loss_dice: 0.6456, loss: 13.6769, grad_norm: 62.5875 2023-11-22 21:13:21,684 - mmseg - INFO - Iter [147300/160000] lr: 7.561e-07, eta: 2:03:58, time: 0.571, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1590, decode.loss_mask: 0.4376, decode.loss_dice: 0.6527, decode.d0.loss_cls: 1.2459, decode.d0.loss_mask: 0.4730, decode.d0.loss_dice: 0.7192, decode.d1.loss_cls: 0.2378, decode.d1.loss_mask: 0.4510, decode.d1.loss_dice: 0.6830, decode.d2.loss_cls: 0.1970, decode.d2.loss_mask: 0.4472, decode.d2.loss_dice: 0.6716, decode.d3.loss_cls: 0.1761, decode.d3.loss_mask: 0.4411, decode.d3.loss_dice: 0.6541, decode.d4.loss_cls: 0.1688, decode.d4.loss_mask: 0.4396, decode.d4.loss_dice: 0.6592, decode.d5.loss_cls: 0.1677, decode.d5.loss_mask: 0.4385, decode.d5.loss_dice: 0.6548, decode.d6.loss_cls: 0.1606, decode.d6.loss_mask: 0.4379, decode.d6.loss_dice: 0.6547, decode.d7.loss_cls: 0.1611, decode.d7.loss_mask: 0.4380, decode.d7.loss_dice: 0.6494, decode.d8.loss_cls: 0.1557, decode.d8.loss_mask: 0.4378, decode.d8.loss_dice: 0.6532, loss: 13.9235, grad_norm: 65.3310 2023-11-22 21:13:50,168 - mmseg - INFO - Iter [147350/160000] lr: 7.531e-07, eta: 2:03:29, time: 0.570, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1598, decode.loss_mask: 0.4231, decode.loss_dice: 0.6486, decode.d0.loss_cls: 1.2563, decode.d0.loss_mask: 0.4547, decode.d0.loss_dice: 0.7200, decode.d1.loss_cls: 0.2346, decode.d1.loss_mask: 0.4391, decode.d1.loss_dice: 0.6827, decode.d2.loss_cls: 0.1949, decode.d2.loss_mask: 0.4298, decode.d2.loss_dice: 0.6644, decode.d3.loss_cls: 0.1733, decode.d3.loss_mask: 0.4265, decode.d3.loss_dice: 0.6561, decode.d4.loss_cls: 0.1749, decode.d4.loss_mask: 0.4269, decode.d4.loss_dice: 0.6556, decode.d5.loss_cls: 0.1711, decode.d5.loss_mask: 0.4266, decode.d5.loss_dice: 0.6554, decode.d6.loss_cls: 0.1667, decode.d6.loss_mask: 0.4245, decode.d6.loss_dice: 0.6495, decode.d7.loss_cls: 0.1676, decode.d7.loss_mask: 0.4238, decode.d7.loss_dice: 0.6499, decode.d8.loss_cls: 0.1624, decode.d8.loss_mask: 0.4226, decode.d8.loss_dice: 0.6499, loss: 13.7916, grad_norm: 65.0524 2023-11-22 21:14:18,479 - mmseg - INFO - Iter [147400/160000] lr: 7.501e-07, eta: 2:02:59, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1450, decode.loss_mask: 0.4294, decode.loss_dice: 0.6521, decode.d0.loss_cls: 1.2241, decode.d0.loss_mask: 0.4647, decode.d0.loss_dice: 0.7126, decode.d1.loss_cls: 0.2206, decode.d1.loss_mask: 0.4448, decode.d1.loss_dice: 0.6821, decode.d2.loss_cls: 0.1793, decode.d2.loss_mask: 0.4373, decode.d2.loss_dice: 0.6725, decode.d3.loss_cls: 0.1616, decode.d3.loss_mask: 0.4331, decode.d3.loss_dice: 0.6573, decode.d4.loss_cls: 0.1602, decode.d4.loss_mask: 0.4306, decode.d4.loss_dice: 0.6541, decode.d5.loss_cls: 0.1527, decode.d5.loss_mask: 0.4303, decode.d5.loss_dice: 0.6543, decode.d6.loss_cls: 0.1530, decode.d6.loss_mask: 0.4301, decode.d6.loss_dice: 0.6510, decode.d7.loss_cls: 0.1504, decode.d7.loss_mask: 0.4296, decode.d7.loss_dice: 0.6515, decode.d8.loss_cls: 0.1469, decode.d8.loss_mask: 0.4301, decode.d8.loss_dice: 0.6522, loss: 13.6936, grad_norm: 67.2249 2023-11-22 21:14:46,837 - mmseg - INFO - Iter [147450/160000] lr: 7.472e-07, eta: 2:02:30, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1639, decode.loss_mask: 0.4306, decode.loss_dice: 0.6600, decode.d0.loss_cls: 1.2710, decode.d0.loss_mask: 0.4631, decode.d0.loss_dice: 0.7298, decode.d1.loss_cls: 0.2400, decode.d1.loss_mask: 0.4448, decode.d1.loss_dice: 0.6910, decode.d2.loss_cls: 0.1974, decode.d2.loss_mask: 0.4357, decode.d2.loss_dice: 0.6769, decode.d3.loss_cls: 0.1798, decode.d3.loss_mask: 0.4345, decode.d3.loss_dice: 0.6670, decode.d4.loss_cls: 0.1743, decode.d4.loss_mask: 0.4331, decode.d4.loss_dice: 0.6634, decode.d5.loss_cls: 0.1707, decode.d5.loss_mask: 0.4310, decode.d5.loss_dice: 0.6637, decode.d6.loss_cls: 0.1662, decode.d6.loss_mask: 0.4311, decode.d6.loss_dice: 0.6602, decode.d7.loss_cls: 0.1648, decode.d7.loss_mask: 0.4315, decode.d7.loss_dice: 0.6606, decode.d8.loss_cls: 0.1603, decode.d8.loss_mask: 0.4315, decode.d8.loss_dice: 0.6609, loss: 13.9888, grad_norm: 61.9256 2023-11-22 21:15:15,119 - mmseg - INFO - Iter [147500/160000] lr: 7.442e-07, eta: 2:02:00, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1559, decode.loss_mask: 0.4487, decode.loss_dice: 0.6539, decode.d0.loss_cls: 1.2307, decode.d0.loss_mask: 0.4831, decode.d0.loss_dice: 0.7169, decode.d1.loss_cls: 0.2308, decode.d1.loss_mask: 0.4653, decode.d1.loss_dice: 0.6789, decode.d2.loss_cls: 0.1862, decode.d2.loss_mask: 0.4574, decode.d2.loss_dice: 0.6719, decode.d3.loss_cls: 0.1749, decode.d3.loss_mask: 0.4535, decode.d3.loss_dice: 0.6596, decode.d4.loss_cls: 0.1681, decode.d4.loss_mask: 0.4538, decode.d4.loss_dice: 0.6571, decode.d5.loss_cls: 0.1655, decode.d5.loss_mask: 0.4506, decode.d5.loss_dice: 0.6545, decode.d6.loss_cls: 0.1619, decode.d6.loss_mask: 0.4491, decode.d6.loss_dice: 0.6547, decode.d7.loss_cls: 0.1616, decode.d7.loss_mask: 0.4491, decode.d7.loss_dice: 0.6533, decode.d8.loss_cls: 0.1568, decode.d8.loss_mask: 0.4490, decode.d8.loss_dice: 0.6505, loss: 14.0032, grad_norm: 73.2386 2023-11-22 21:15:43,229 - mmseg - INFO - Iter [147550/160000] lr: 7.412e-07, eta: 2:01:31, time: 0.562, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1626, decode.loss_mask: 0.4208, decode.loss_dice: 0.6618, decode.d0.loss_cls: 1.2628, decode.d0.loss_mask: 0.4502, decode.d0.loss_dice: 0.7377, decode.d1.loss_cls: 0.2303, decode.d1.loss_mask: 0.4335, decode.d1.loss_dice: 0.6942, decode.d2.loss_cls: 0.1940, decode.d2.loss_mask: 0.4257, decode.d2.loss_dice: 0.6739, decode.d3.loss_cls: 0.1817, decode.d3.loss_mask: 0.4224, decode.d3.loss_dice: 0.6634, decode.d4.loss_cls: 0.1790, decode.d4.loss_mask: 0.4216, decode.d4.loss_dice: 0.6657, decode.d5.loss_cls: 0.1703, decode.d5.loss_mask: 0.4215, decode.d5.loss_dice: 0.6645, decode.d6.loss_cls: 0.1666, decode.d6.loss_mask: 0.4191, decode.d6.loss_dice: 0.6646, decode.d7.loss_cls: 0.1625, decode.d7.loss_mask: 0.4213, decode.d7.loss_dice: 0.6626, decode.d8.loss_cls: 0.1656, decode.d8.loss_mask: 0.4200, decode.d8.loss_dice: 0.6617, loss: 13.8816, grad_norm: 62.8963 2023-11-22 21:16:11,737 - mmseg - INFO - Iter [147600/160000] lr: 7.382e-07, eta: 2:01:02, time: 0.570, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1592, decode.loss_mask: 0.4420, decode.loss_dice: 0.6524, decode.d0.loss_cls: 1.2280, decode.d0.loss_mask: 0.4769, decode.d0.loss_dice: 0.7194, decode.d1.loss_cls: 0.2364, decode.d1.loss_mask: 0.4605, decode.d1.loss_dice: 0.6843, decode.d2.loss_cls: 0.2000, decode.d2.loss_mask: 0.4495, decode.d2.loss_dice: 0.6723, decode.d3.loss_cls: 0.1777, decode.d3.loss_mask: 0.4459, decode.d3.loss_dice: 0.6568, decode.d4.loss_cls: 0.1677, decode.d4.loss_mask: 0.4457, decode.d4.loss_dice: 0.6603, decode.d5.loss_cls: 0.1682, decode.d5.loss_mask: 0.4438, decode.d5.loss_dice: 0.6588, decode.d6.loss_cls: 0.1618, decode.d6.loss_mask: 0.4432, decode.d6.loss_dice: 0.6560, decode.d7.loss_cls: 0.1625, decode.d7.loss_mask: 0.4435, decode.d7.loss_dice: 0.6534, decode.d8.loss_cls: 0.1590, decode.d8.loss_mask: 0.4421, decode.d8.loss_dice: 0.6530, loss: 13.9804, grad_norm: 68.4615 2023-11-22 21:16:40,144 - mmseg - INFO - Iter [147650/160000] lr: 7.353e-07, eta: 2:00:32, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1558, decode.loss_mask: 0.4168, decode.loss_dice: 0.6333, decode.d0.loss_cls: 1.2125, decode.d0.loss_mask: 0.4485, decode.d0.loss_dice: 0.6997, decode.d1.loss_cls: 0.2167, decode.d1.loss_mask: 0.4316, decode.d1.loss_dice: 0.6690, decode.d2.loss_cls: 0.1879, decode.d2.loss_mask: 0.4215, decode.d2.loss_dice: 0.6517, decode.d3.loss_cls: 0.1692, decode.d3.loss_mask: 0.4182, decode.d3.loss_dice: 0.6400, decode.d4.loss_cls: 0.1652, decode.d4.loss_mask: 0.4173, decode.d4.loss_dice: 0.6405, decode.d5.loss_cls: 0.1611, decode.d5.loss_mask: 0.4182, decode.d5.loss_dice: 0.6392, decode.d6.loss_cls: 0.1588, decode.d6.loss_mask: 0.4169, decode.d6.loss_dice: 0.6390, decode.d7.loss_cls: 0.1609, decode.d7.loss_mask: 0.4157, decode.d7.loss_dice: 0.6344, decode.d8.loss_cls: 0.1559, decode.d8.loss_mask: 0.4163, decode.d8.loss_dice: 0.6357, loss: 13.4473, grad_norm: 64.8202 2023-11-22 21:17:08,439 - mmseg - INFO - Iter [147700/160000] lr: 7.323e-07, eta: 2:00:03, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1605, decode.loss_mask: 0.4225, decode.loss_dice: 0.6425, decode.d0.loss_cls: 1.2277, decode.d0.loss_mask: 0.4556, decode.d0.loss_dice: 0.7125, decode.d1.loss_cls: 0.2304, decode.d1.loss_mask: 0.4371, decode.d1.loss_dice: 0.6805, decode.d2.loss_cls: 0.1870, decode.d2.loss_mask: 0.4290, decode.d2.loss_dice: 0.6624, decode.d3.loss_cls: 0.1735, decode.d3.loss_mask: 0.4266, decode.d3.loss_dice: 0.6478, decode.d4.loss_cls: 0.1706, decode.d4.loss_mask: 0.4248, decode.d4.loss_dice: 0.6459, decode.d5.loss_cls: 0.1637, decode.d5.loss_mask: 0.4249, decode.d5.loss_dice: 0.6452, decode.d6.loss_cls: 0.1641, decode.d6.loss_mask: 0.4231, decode.d6.loss_dice: 0.6424, decode.d7.loss_cls: 0.1605, decode.d7.loss_mask: 0.4233, decode.d7.loss_dice: 0.6399, decode.d8.loss_cls: 0.1590, decode.d8.loss_mask: 0.4225, decode.d8.loss_dice: 0.6417, loss: 13.6471, grad_norm: 64.3540 2023-11-22 21:17:36,763 - mmseg - INFO - Iter [147750/160000] lr: 7.293e-07, eta: 1:59:34, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1569, decode.loss_mask: 0.4144, decode.loss_dice: 0.6477, decode.d0.loss_cls: 1.2359, decode.d0.loss_mask: 0.4529, decode.d0.loss_dice: 0.7103, decode.d1.loss_cls: 0.2228, decode.d1.loss_mask: 0.4304, decode.d1.loss_dice: 0.6782, decode.d2.loss_cls: 0.1876, decode.d2.loss_mask: 0.4219, decode.d2.loss_dice: 0.6605, decode.d3.loss_cls: 0.1737, decode.d3.loss_mask: 0.4194, decode.d3.loss_dice: 0.6500, decode.d4.loss_cls: 0.1684, decode.d4.loss_mask: 0.4176, decode.d4.loss_dice: 0.6514, decode.d5.loss_cls: 0.1629, decode.d5.loss_mask: 0.4160, decode.d5.loss_dice: 0.6484, decode.d6.loss_cls: 0.1575, decode.d6.loss_mask: 0.4167, decode.d6.loss_dice: 0.6428, decode.d7.loss_cls: 0.1566, decode.d7.loss_mask: 0.4157, decode.d7.loss_dice: 0.6429, decode.d8.loss_cls: 0.1560, decode.d8.loss_mask: 0.4164, decode.d8.loss_dice: 0.6473, loss: 13.5793, grad_norm: 64.2021 2023-11-22 21:18:07,550 - mmseg - INFO - Iter [147800/160000] lr: 7.263e-07, eta: 1:59:04, time: 0.616, data_time: 0.058, memory: 38143, decode.loss_cls: 0.1541, decode.loss_mask: 0.4329, decode.loss_dice: 0.6312, decode.d0.loss_cls: 1.2221, decode.d0.loss_mask: 0.4742, decode.d0.loss_dice: 0.7079, decode.d1.loss_cls: 0.2189, decode.d1.loss_mask: 0.4525, decode.d1.loss_dice: 0.6676, decode.d2.loss_cls: 0.1868, decode.d2.loss_mask: 0.4409, decode.d2.loss_dice: 0.6497, decode.d3.loss_cls: 0.1720, decode.d3.loss_mask: 0.4378, decode.d3.loss_dice: 0.6381, decode.d4.loss_cls: 0.1657, decode.d4.loss_mask: 0.4386, decode.d4.loss_dice: 0.6360, decode.d5.loss_cls: 0.1559, decode.d5.loss_mask: 0.4373, decode.d5.loss_dice: 0.6414, decode.d6.loss_cls: 0.1565, decode.d6.loss_mask: 0.4343, decode.d6.loss_dice: 0.6333, decode.d7.loss_cls: 0.1533, decode.d7.loss_mask: 0.4340, decode.d7.loss_dice: 0.6347, decode.d8.loss_cls: 0.1505, decode.d8.loss_mask: 0.4340, decode.d8.loss_dice: 0.6370, loss: 13.6292, grad_norm: 65.5032 2023-11-22 21:18:35,788 - mmseg - INFO - Iter [147850/160000] lr: 7.234e-07, eta: 1:58:35, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1467, decode.loss_mask: 0.4131, decode.loss_dice: 0.6360, decode.d0.loss_cls: 1.2072, decode.d0.loss_mask: 0.4461, decode.d0.loss_dice: 0.7013, decode.d1.loss_cls: 0.2239, decode.d1.loss_mask: 0.4279, decode.d1.loss_dice: 0.6670, decode.d2.loss_cls: 0.1784, decode.d2.loss_mask: 0.4217, decode.d2.loss_dice: 0.6526, decode.d3.loss_cls: 0.1649, decode.d3.loss_mask: 0.4155, decode.d3.loss_dice: 0.6411, decode.d4.loss_cls: 0.1620, decode.d4.loss_mask: 0.4146, decode.d4.loss_dice: 0.6338, decode.d5.loss_cls: 0.1507, decode.d5.loss_mask: 0.4166, decode.d5.loss_dice: 0.6381, decode.d6.loss_cls: 0.1488, decode.d6.loss_mask: 0.4153, decode.d6.loss_dice: 0.6342, decode.d7.loss_cls: 0.1484, decode.d7.loss_mask: 0.4137, decode.d7.loss_dice: 0.6370, decode.d8.loss_cls: 0.1468, decode.d8.loss_mask: 0.4130, decode.d8.loss_dice: 0.6359, loss: 13.3524, grad_norm: 59.9364 2023-11-22 21:19:04,236 - mmseg - INFO - Iter [147900/160000] lr: 7.204e-07, eta: 1:58:06, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1648, decode.loss_mask: 0.4350, decode.loss_dice: 0.6748, decode.d0.loss_cls: 1.2710, decode.d0.loss_mask: 0.4699, decode.d0.loss_dice: 0.7460, decode.d1.loss_cls: 0.2532, decode.d1.loss_mask: 0.4477, decode.d1.loss_dice: 0.7012, decode.d2.loss_cls: 0.2023, decode.d2.loss_mask: 0.4412, decode.d2.loss_dice: 0.6889, decode.d3.loss_cls: 0.1870, decode.d3.loss_mask: 0.4373, decode.d3.loss_dice: 0.6784, decode.d4.loss_cls: 0.1771, decode.d4.loss_mask: 0.4378, decode.d4.loss_dice: 0.6794, decode.d5.loss_cls: 0.1742, decode.d5.loss_mask: 0.4360, decode.d5.loss_dice: 0.6744, decode.d6.loss_cls: 0.1686, decode.d6.loss_mask: 0.4354, decode.d6.loss_dice: 0.6751, decode.d7.loss_cls: 0.1651, decode.d7.loss_mask: 0.4353, decode.d7.loss_dice: 0.6753, decode.d8.loss_cls: 0.1656, decode.d8.loss_mask: 0.4337, decode.d8.loss_dice: 0.6758, loss: 14.2074, grad_norm: 67.6326 2023-11-22 21:19:32,738 - mmseg - INFO - Iter [147950/160000] lr: 7.174e-07, eta: 1:57:36, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1785, decode.loss_mask: 0.4305, decode.loss_dice: 0.6508, decode.d0.loss_cls: 1.2642, decode.d0.loss_mask: 0.4629, decode.d0.loss_dice: 0.7218, decode.d1.loss_cls: 0.2455, decode.d1.loss_mask: 0.4466, decode.d1.loss_dice: 0.6891, decode.d2.loss_cls: 0.2068, decode.d2.loss_mask: 0.4378, decode.d2.loss_dice: 0.6747, decode.d3.loss_cls: 0.1942, decode.d3.loss_mask: 0.4344, decode.d3.loss_dice: 0.6604, decode.d4.loss_cls: 0.1849, decode.d4.loss_mask: 0.4342, decode.d4.loss_dice: 0.6604, decode.d5.loss_cls: 0.1808, decode.d5.loss_mask: 0.4333, decode.d5.loss_dice: 0.6554, decode.d6.loss_cls: 0.1801, decode.d6.loss_mask: 0.4327, decode.d6.loss_dice: 0.6508, decode.d7.loss_cls: 0.1809, decode.d7.loss_mask: 0.4332, decode.d7.loss_dice: 0.6526, decode.d8.loss_cls: 0.1801, decode.d8.loss_mask: 0.4324, decode.d8.loss_dice: 0.6514, loss: 14.0414, grad_norm: 71.0899 2023-11-22 21:20:01,057 - mmseg - INFO - Saving checkpoint at 148000 iterations 2023-11-22 21:20:09,305 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 21:20:09,305 - mmseg - INFO - Iter [148000/160000] lr: 7.144e-07, eta: 1:57:08, time: 0.731, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1593, decode.loss_mask: 0.4337, decode.loss_dice: 0.6563, decode.d0.loss_cls: 1.2309, decode.d0.loss_mask: 0.4641, decode.d0.loss_dice: 0.7221, decode.d1.loss_cls: 0.2297, decode.d1.loss_mask: 0.4441, decode.d1.loss_dice: 0.6902, decode.d2.loss_cls: 0.1913, decode.d2.loss_mask: 0.4393, decode.d2.loss_dice: 0.6698, decode.d3.loss_cls: 0.1727, decode.d3.loss_mask: 0.4360, decode.d3.loss_dice: 0.6614, decode.d4.loss_cls: 0.1676, decode.d4.loss_mask: 0.4354, decode.d4.loss_dice: 0.6613, decode.d5.loss_cls: 0.1660, decode.d5.loss_mask: 0.4367, decode.d5.loss_dice: 0.6623, decode.d6.loss_cls: 0.1597, decode.d6.loss_mask: 0.4363, decode.d6.loss_dice: 0.6599, decode.d7.loss_cls: 0.1564, decode.d7.loss_mask: 0.4350, decode.d7.loss_dice: 0.6567, decode.d8.loss_cls: 0.1549, decode.d8.loss_mask: 0.4339, decode.d8.loss_dice: 0.6562, loss: 13.8792, grad_norm: 63.9260 2023-11-22 21:20:28,648 - mmseg - INFO - per class results: 2023-11-22 21:20:28,653 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.07 | 88.17 | | building | 83.8 | 91.82 | | sky | 95.04 | 97.64 | | floor | 84.45 | 91.24 | | tree | 76.21 | 88.89 | | ceiling | 85.88 | 92.5 | | road | 86.72 | 92.82 | | bed | 91.9 | 96.1 | | windowpane | 65.26 | 82.21 | | grass | 68.22 | 81.82 | | cabinet | 63.92 | 75.95 | | sidewalk | 69.04 | 79.42 | | person | 86.3 | 94.32 | | earth | 37.7 | 52.43 | | door | 55.72 | 71.0 | | table | 70.64 | 84.01 | | mountain | 58.48 | 75.21 | | plant | 55.02 | 67.82 | | curtain | 73.09 | 85.61 | | chair | 65.06 | 76.72 | | car | 88.0 | 94.03 | | water | 55.51 | 67.46 | | painting | 76.79 | 90.91 | | sofa | 75.07 | 89.84 | | shelf | 41.69 | 55.1 | | house | 39.84 | 63.26 | | sea | 59.04 | 84.2 | | mirror | 74.56 | 83.88 | | rug | 67.88 | 82.03 | | field | 36.07 | 58.67 | | armchair | 51.88 | 70.93 | | seat | 64.66 | 86.61 | | fence | 54.74 | 70.76 | | desk | 59.52 | 79.24 | | rock | 51.54 | 67.94 | | wardrobe | 44.68 | 70.7 | | lamp | 73.75 | 82.93 | | bathtub | 79.72 | 86.32 | | railing | 38.09 | 54.39 | | cushion | 66.26 | 76.02 | | base | 42.96 | 63.65 | | box | 33.91 | 43.67 | | column | 53.16 | 70.67 | | signboard | 40.84 | 57.79 | | chest of drawers | 37.58 | 61.25 | | counter | 47.92 | 58.65 | | sand | 44.8 | 58.25 | | sink | 81.08 | 85.6 | | skyscraper | 60.59 | 76.69 | | fireplace | 72.9 | 90.33 | | refrigerator | 77.0 | 83.44 | | grandstand | 47.37 | 81.55 | | path | 24.68 | 42.95 | | stairs | 35.38 | 42.45 | | runway | 70.2 | 91.33 | | case | 50.99 | 76.23 | | pool table | 94.44 | 97.93 | | pillow | 65.71 | 77.19 | | screen door | 78.88 | 87.32 | | stairway | 37.64 | 54.09 | | river | 11.0 | 25.83 | | bridge | 78.64 | 91.06 | | bookcase | 30.07 | 47.4 | | blind | 45.19 | 51.41 | | coffee table | 72.55 | 85.65 | | toilet | 91.23 | 93.67 | | flower | 42.93 | 61.69 | | book | 53.4 | 78.44 | | hill | 9.24 | 16.43 | | bench | 62.87 | 73.04 | | countertop | 65.67 | 81.55 | | stove | 85.97 | 88.89 | | palm | 55.05 | 80.4 | | kitchen island | 55.42 | 89.78 | | computer | 74.4 | 83.42 | | swivel chair | 45.21 | 64.42 | | boat | 38.66 | 57.09 | | bar | 56.59 | 62.21 | | arcade machine | 73.06 | 77.68 | | hovel | 46.41 | 49.44 | | bus | 84.65 | 97.3 | | towel | 77.66 | 89.26 | | light | 66.77 | 78.82 | | truck | 25.17 | 29.53 | | tower | 23.04 | 38.82 | | chandelier | 71.85 | 89.04 | | awning | 39.06 | 52.05 | | streetlight | 46.44 | 62.25 | | booth | 53.0 | 68.8 | | television receiver | 78.82 | 88.14 | | airplane | 60.7 | 74.84 | | dirt track | 9.08 | 12.63 | | apparel | 48.2 | 68.11 | | pole | 38.23 | 59.01 | | land | 3.37 | 6.76 | | bannister | 20.82 | 32.18 | | escalator | 47.54 | 60.52 | | ottoman | 56.11 | 76.67 | | bottle | 40.52 | 65.57 | | buffet | 48.63 | 66.13 | | poster | 28.33 | 44.11 | | stage | 25.57 | 47.62 | | van | 46.52 | 71.03 | | ship | 8.78 | 13.9 | | fountain | 21.54 | 21.91 | | conveyer belt | 75.53 | 94.83 | | canopy | 27.55 | 53.04 | | washer | 72.5 | 76.55 | | plaything | 42.41 | 59.39 | | swimming pool | 65.27 | 71.98 | | stool | 55.25 | 71.96 | | barrel | 58.77 | 98.18 | | basket | 43.26 | 55.14 | | waterfall | 76.82 | 87.03 | | tent | 88.98 | 98.43 | | bag | 23.45 | 33.03 | | minibike | 71.3 | 90.74 | | cradle | 90.26 | 97.76 | | oven | 24.76 | 69.72 | | ball | 60.68 | 67.93 | | food | 57.54 | 68.1 | | step | 13.92 | 17.96 | | tank | 63.38 | 66.01 | | trade name | 28.99 | 34.75 | | microwave | 42.42 | 46.75 | | pot | 52.05 | 63.49 | | animal | 60.99 | 62.65 | | bicycle | 62.74 | 81.86 | | lake | 55.79 | 63.64 | | dishwasher | 74.31 | 79.25 | | screen | 58.07 | 92.22 | | blanket | 41.68 | 52.52 | | sculpture | 75.7 | 89.24 | | hood | 72.98 | 78.41 | | sconce | 60.55 | 76.65 | | vase | 56.29 | 74.32 | | traffic light | 48.3 | 72.01 | | tray | 20.2 | 31.73 | | ashcan | 51.83 | 74.09 | | fan | 71.91 | 85.27 | | pier | 14.6 | 15.35 | | crt screen | 3.18 | 9.66 | | plate | 64.89 | 82.28 | | monitor | 9.38 | 12.01 | | bulletin board | 56.73 | 80.23 | | shower | 14.94 | 25.81 | | radiator | 70.92 | 86.35 | | glass | 24.62 | 27.27 | | clock | 56.92 | 68.44 | | flag | 72.33 | 83.98 | +---------------------+-------+-------+ 2023-11-22 21:20:28,653 - mmseg - INFO - Summary: 2023-11-22 21:20:28,653 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 84.97 | 55.0 | 68.56 | +-------+------+-------+ 2023-11-22 21:20:28,654 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 21:20:28,654 - mmseg - INFO - Iter(val) [250] aAcc: 0.8497, mIoU: 0.5500, mAcc: 0.6856, IoU.wall: 0.8107, IoU.building: 0.8380, IoU.sky: 0.9504, IoU.floor: 0.8445, IoU.tree: 0.7621, IoU.ceiling: 0.8588, IoU.road: 0.8672, IoU.bed : 0.9190, IoU.windowpane: 0.6526, IoU.grass: 0.6822, IoU.cabinet: 0.6392, IoU.sidewalk: 0.6904, IoU.person: 0.8630, IoU.earth: 0.3770, IoU.door: 0.5572, IoU.table: 0.7064, IoU.mountain: 0.5848, IoU.plant: 0.5502, IoU.curtain: 0.7309, IoU.chair: 0.6506, IoU.car: 0.8800, IoU.water: 0.5551, IoU.painting: 0.7679, IoU.sofa: 0.7507, IoU.shelf: 0.4169, IoU.house: 0.3984, IoU.sea: 0.5904, IoU.mirror: 0.7456, IoU.rug: 0.6788, IoU.field: 0.3607, IoU.armchair: 0.5188, IoU.seat: 0.6466, IoU.fence: 0.5474, IoU.desk: 0.5952, IoU.rock: 0.5154, IoU.wardrobe: 0.4468, IoU.lamp: 0.7375, IoU.bathtub: 0.7972, IoU.railing: 0.3809, IoU.cushion: 0.6626, IoU.base: 0.4296, IoU.box: 0.3391, IoU.column: 0.5316, IoU.signboard: 0.4084, IoU.chest of drawers: 0.3758, IoU.counter: 0.4792, IoU.sand: 0.4480, IoU.sink: 0.8108, IoU.skyscraper: 0.6059, IoU.fireplace: 0.7290, IoU.refrigerator: 0.7700, IoU.grandstand: 0.4737, IoU.path: 0.2468, IoU.stairs: 0.3538, IoU.runway: 0.7020, IoU.case: 0.5099, IoU.pool table: 0.9444, IoU.pillow: 0.6571, IoU.screen door: 0.7888, IoU.stairway: 0.3764, IoU.river: 0.1100, IoU.bridge: 0.7864, IoU.bookcase: 0.3007, IoU.blind: 0.4519, IoU.coffee table: 0.7255, IoU.toilet: 0.9123, IoU.flower: 0.4293, IoU.book: 0.5340, IoU.hill: 0.0924, IoU.bench: 0.6287, IoU.countertop: 0.6567, IoU.stove: 0.8597, IoU.palm: 0.5505, IoU.kitchen island: 0.5542, IoU.computer: 0.7440, IoU.swivel chair: 0.4521, IoU.boat: 0.3866, IoU.bar: 0.5659, IoU.arcade machine: 0.7306, IoU.hovel: 0.4641, IoU.bus: 0.8465, IoU.towel: 0.7766, IoU.light: 0.6677, IoU.truck: 0.2517, IoU.tower: 0.2304, IoU.chandelier: 0.7185, IoU.awning: 0.3906, IoU.streetlight: 0.4644, IoU.booth: 0.5300, IoU.television receiver: 0.7882, IoU.airplane: 0.6070, IoU.dirt track: 0.0908, IoU.apparel: 0.4820, IoU.pole: 0.3823, IoU.land: 0.0337, IoU.bannister: 0.2082, IoU.escalator: 0.4754, IoU.ottoman: 0.5611, IoU.bottle: 0.4052, IoU.buffet: 0.4863, IoU.poster: 0.2833, IoU.stage: 0.2557, IoU.van: 0.4652, IoU.ship: 0.0878, IoU.fountain: 0.2154, IoU.conveyer belt: 0.7553, IoU.canopy: 0.2755, IoU.washer: 0.7250, IoU.plaything: 0.4241, IoU.swimming pool: 0.6527, IoU.stool: 0.5525, IoU.barrel: 0.5877, IoU.basket: 0.4326, IoU.waterfall: 0.7682, IoU.tent: 0.8898, IoU.bag: 0.2345, IoU.minibike: 0.7130, IoU.cradle: 0.9026, IoU.oven: 0.2476, IoU.ball: 0.6068, IoU.food: 0.5754, IoU.step: 0.1392, IoU.tank: 0.6338, IoU.trade name: 0.2899, IoU.microwave: 0.4242, IoU.pot: 0.5205, IoU.animal: 0.6099, IoU.bicycle: 0.6274, IoU.lake: 0.5579, IoU.dishwasher: 0.7431, IoU.screen: 0.5807, IoU.blanket: 0.4168, IoU.sculpture: 0.7570, IoU.hood: 0.7298, IoU.sconce: 0.6055, IoU.vase: 0.5629, IoU.traffic light: 0.4830, IoU.tray: 0.2020, IoU.ashcan: 0.5183, IoU.fan: 0.7191, IoU.pier: 0.1460, IoU.crt screen: 0.0318, IoU.plate: 0.6489, IoU.monitor: 0.0938, IoU.bulletin board: 0.5673, IoU.shower: 0.1494, IoU.radiator: 0.7092, IoU.glass: 0.2462, IoU.clock: 0.5692, IoU.flag: 0.7233, Acc.wall: 0.8817, Acc.building: 0.9182, Acc.sky: 0.9764, Acc.floor: 0.9124, Acc.tree: 0.8889, Acc.ceiling: 0.9250, Acc.road: 0.9282, Acc.bed : 0.9610, Acc.windowpane: 0.8221, Acc.grass: 0.8182, Acc.cabinet: 0.7595, Acc.sidewalk: 0.7942, Acc.person: 0.9432, Acc.earth: 0.5243, Acc.door: 0.7100, Acc.table: 0.8401, Acc.mountain: 0.7521, Acc.plant: 0.6782, Acc.curtain: 0.8561, Acc.chair: 0.7672, Acc.car: 0.9403, Acc.water: 0.6746, Acc.painting: 0.9091, Acc.sofa: 0.8984, Acc.shelf: 0.5510, Acc.house: 0.6326, Acc.sea: 0.8420, Acc.mirror: 0.8388, Acc.rug: 0.8203, Acc.field: 0.5867, Acc.armchair: 0.7093, Acc.seat: 0.8661, Acc.fence: 0.7076, Acc.desk: 0.7924, Acc.rock: 0.6794, Acc.wardrobe: 0.7070, Acc.lamp: 0.8293, Acc.bathtub: 0.8632, Acc.railing: 0.5439, Acc.cushion: 0.7602, Acc.base: 0.6365, Acc.box: 0.4367, Acc.column: 0.7067, Acc.signboard: 0.5779, Acc.chest of drawers: 0.6125, Acc.counter: 0.5865, Acc.sand: 0.5825, Acc.sink: 0.8560, Acc.skyscraper: 0.7669, Acc.fireplace: 0.9033, Acc.refrigerator: 0.8344, Acc.grandstand: 0.8155, Acc.path: 0.4295, Acc.stairs: 0.4245, Acc.runway: 0.9133, Acc.case: 0.7623, Acc.pool table: 0.9793, Acc.pillow: 0.7719, Acc.screen door: 0.8732, Acc.stairway: 0.5409, Acc.river: 0.2583, Acc.bridge: 0.9106, Acc.bookcase: 0.4740, Acc.blind: 0.5141, Acc.coffee table: 0.8565, Acc.toilet: 0.9367, Acc.flower: 0.6169, Acc.book: 0.7844, Acc.hill: 0.1643, Acc.bench: 0.7304, Acc.countertop: 0.8155, Acc.stove: 0.8889, Acc.palm: 0.8040, Acc.kitchen island: 0.8978, Acc.computer: 0.8342, Acc.swivel chair: 0.6442, Acc.boat: 0.5709, Acc.bar: 0.6221, Acc.arcade machine: 0.7768, Acc.hovel: 0.4944, Acc.bus: 0.9730, Acc.towel: 0.8926, Acc.light: 0.7882, Acc.truck: 0.2953, Acc.tower: 0.3882, Acc.chandelier: 0.8904, Acc.awning: 0.5205, Acc.streetlight: 0.6225, Acc.booth: 0.6880, Acc.television receiver: 0.8814, Acc.airplane: 0.7484, Acc.dirt track: 0.1263, Acc.apparel: 0.6811, Acc.pole: 0.5901, Acc.land: 0.0676, Acc.bannister: 0.3218, Acc.escalator: 0.6052, Acc.ottoman: 0.7667, Acc.bottle: 0.6557, Acc.buffet: 0.6613, Acc.poster: 0.4411, Acc.stage: 0.4762, Acc.van: 0.7103, Acc.ship: 0.1390, Acc.fountain: 0.2191, Acc.conveyer belt: 0.9483, Acc.canopy: 0.5304, Acc.washer: 0.7655, Acc.plaything: 0.5939, Acc.swimming pool: 0.7198, Acc.stool: 0.7196, Acc.barrel: 0.9818, Acc.basket: 0.5514, Acc.waterfall: 0.8703, Acc.tent: 0.9843, Acc.bag: 0.3303, Acc.minibike: 0.9074, Acc.cradle: 0.9776, Acc.oven: 0.6972, Acc.ball: 0.6793, Acc.food: 0.6810, Acc.step: 0.1796, Acc.tank: 0.6601, Acc.trade name: 0.3475, Acc.microwave: 0.4675, Acc.pot: 0.6349, Acc.animal: 0.6265, Acc.bicycle: 0.8186, Acc.lake: 0.6364, Acc.dishwasher: 0.7925, Acc.screen: 0.9222, Acc.blanket: 0.5252, Acc.sculpture: 0.8924, Acc.hood: 0.7841, Acc.sconce: 0.7665, Acc.vase: 0.7432, Acc.traffic light: 0.7201, Acc.tray: 0.3173, Acc.ashcan: 0.7409, Acc.fan: 0.8527, Acc.pier: 0.1535, Acc.crt screen: 0.0966, Acc.plate: 0.8228, Acc.monitor: 0.1201, Acc.bulletin board: 0.8023, Acc.shower: 0.2581, Acc.radiator: 0.8635, Acc.glass: 0.2727, Acc.clock: 0.6844, Acc.flag: 0.8398 2023-11-22 21:20:56,846 - mmseg - INFO - Iter [148050/160000] lr: 7.114e-07, eta: 1:56:40, time: 0.951, data_time: 0.399, memory: 38143, decode.loss_cls: 0.1561, decode.loss_mask: 0.4250, decode.loss_dice: 0.6556, decode.d0.loss_cls: 1.2230, decode.d0.loss_mask: 0.4521, decode.d0.loss_dice: 0.7251, decode.d1.loss_cls: 0.2413, decode.d1.loss_mask: 0.4380, decode.d1.loss_dice: 0.6817, decode.d2.loss_cls: 0.1973, decode.d2.loss_mask: 0.4285, decode.d2.loss_dice: 0.6677, decode.d3.loss_cls: 0.1819, decode.d3.loss_mask: 0.4273, decode.d3.loss_dice: 0.6572, decode.d4.loss_cls: 0.1722, decode.d4.loss_mask: 0.4281, decode.d4.loss_dice: 0.6610, decode.d5.loss_cls: 0.1713, decode.d5.loss_mask: 0.4251, decode.d5.loss_dice: 0.6553, decode.d6.loss_cls: 0.1663, decode.d6.loss_mask: 0.4249, decode.d6.loss_dice: 0.6539, decode.d7.loss_cls: 0.1631, decode.d7.loss_mask: 0.4245, decode.d7.loss_dice: 0.6552, decode.d8.loss_cls: 0.1605, decode.d8.loss_mask: 0.4248, decode.d8.loss_dice: 0.6547, loss: 13.7984, grad_norm: 66.3585 2023-11-22 21:21:25,149 - mmseg - INFO - Iter [148100/160000] lr: 7.085e-07, eta: 1:56:11, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1661, decode.loss_mask: 0.4378, decode.loss_dice: 0.6595, decode.d0.loss_cls: 1.2489, decode.d0.loss_mask: 0.4684, decode.d0.loss_dice: 0.7324, decode.d1.loss_cls: 0.2387, decode.d1.loss_mask: 0.4518, decode.d1.loss_dice: 0.6894, decode.d2.loss_cls: 0.1977, decode.d2.loss_mask: 0.4454, decode.d2.loss_dice: 0.6763, decode.d3.loss_cls: 0.1803, decode.d3.loss_mask: 0.4437, decode.d3.loss_dice: 0.6668, decode.d4.loss_cls: 0.1780, decode.d4.loss_mask: 0.4417, decode.d4.loss_dice: 0.6673, decode.d5.loss_cls: 0.1745, decode.d5.loss_mask: 0.4407, decode.d5.loss_dice: 0.6658, decode.d6.loss_cls: 0.1727, decode.d6.loss_mask: 0.4383, decode.d6.loss_dice: 0.6589, decode.d7.loss_cls: 0.1691, decode.d7.loss_mask: 0.4381, decode.d7.loss_dice: 0.6576, decode.d8.loss_cls: 0.1649, decode.d8.loss_mask: 0.4400, decode.d8.loss_dice: 0.6637, loss: 14.0744, grad_norm: 65.9296 2023-11-22 21:21:53,578 - mmseg - INFO - Iter [148150/160000] lr: 7.055e-07, eta: 1:55:41, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1570, decode.loss_mask: 0.4395, decode.loss_dice: 0.6614, decode.d0.loss_cls: 1.2096, decode.d0.loss_mask: 0.4731, decode.d0.loss_dice: 0.7236, decode.d1.loss_cls: 0.2354, decode.d1.loss_mask: 0.4564, decode.d1.loss_dice: 0.6902, decode.d2.loss_cls: 0.1845, decode.d2.loss_mask: 0.4487, decode.d2.loss_dice: 0.6764, decode.d3.loss_cls: 0.1711, decode.d3.loss_mask: 0.4435, decode.d3.loss_dice: 0.6671, decode.d4.loss_cls: 0.1675, decode.d4.loss_mask: 0.4424, decode.d4.loss_dice: 0.6647, decode.d5.loss_cls: 0.1613, decode.d5.loss_mask: 0.4415, decode.d5.loss_dice: 0.6661, decode.d6.loss_cls: 0.1636, decode.d6.loss_mask: 0.4396, decode.d6.loss_dice: 0.6634, decode.d7.loss_cls: 0.1601, decode.d7.loss_mask: 0.4402, decode.d7.loss_dice: 0.6602, decode.d8.loss_cls: 0.1580, decode.d8.loss_mask: 0.4392, decode.d8.loss_dice: 0.6559, loss: 13.9613, grad_norm: 70.9396 2023-11-22 21:22:22,290 - mmseg - INFO - Iter [148200/160000] lr: 7.025e-07, eta: 1:55:12, time: 0.574, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1592, decode.loss_mask: 0.4170, decode.loss_dice: 0.6567, decode.d0.loss_cls: 1.2623, decode.d0.loss_mask: 0.4470, decode.d0.loss_dice: 0.7209, decode.d1.loss_cls: 0.2327, decode.d1.loss_mask: 0.4311, decode.d1.loss_dice: 0.6834, decode.d2.loss_cls: 0.1934, decode.d2.loss_mask: 0.4221, decode.d2.loss_dice: 0.6728, decode.d3.loss_cls: 0.1775, decode.d3.loss_mask: 0.4208, decode.d3.loss_dice: 0.6624, decode.d4.loss_cls: 0.1689, decode.d4.loss_mask: 0.4193, decode.d4.loss_dice: 0.6652, decode.d5.loss_cls: 0.1685, decode.d5.loss_mask: 0.4188, decode.d5.loss_dice: 0.6628, decode.d6.loss_cls: 0.1627, decode.d6.loss_mask: 0.4186, decode.d6.loss_dice: 0.6581, decode.d7.loss_cls: 0.1610, decode.d7.loss_mask: 0.4183, decode.d7.loss_dice: 0.6597, decode.d8.loss_cls: 0.1584, decode.d8.loss_mask: 0.4172, decode.d8.loss_dice: 0.6579, loss: 13.7745, grad_norm: 61.8677 2023-11-22 21:22:50,772 - mmseg - INFO - Iter [148250/160000] lr: 6.995e-07, eta: 1:54:42, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1575, decode.loss_mask: 0.4343, decode.loss_dice: 0.6634, decode.d0.loss_cls: 1.2617, decode.d0.loss_mask: 0.4671, decode.d0.loss_dice: 0.7264, decode.d1.loss_cls: 0.2312, decode.d1.loss_mask: 0.4511, decode.d1.loss_dice: 0.6884, decode.d2.loss_cls: 0.1926, decode.d2.loss_mask: 0.4421, decode.d2.loss_dice: 0.6806, decode.d3.loss_cls: 0.1749, decode.d3.loss_mask: 0.4397, decode.d3.loss_dice: 0.6668, decode.d4.loss_cls: 0.1674, decode.d4.loss_mask: 0.4386, decode.d4.loss_dice: 0.6689, decode.d5.loss_cls: 0.1626, decode.d5.loss_mask: 0.4377, decode.d5.loss_dice: 0.6653, decode.d6.loss_cls: 0.1628, decode.d6.loss_mask: 0.4359, decode.d6.loss_dice: 0.6614, decode.d7.loss_cls: 0.1596, decode.d7.loss_mask: 0.4359, decode.d7.loss_dice: 0.6656, decode.d8.loss_cls: 0.1614, decode.d8.loss_mask: 0.4358, decode.d8.loss_dice: 0.6654, loss: 14.0022, grad_norm: 63.1017 2023-11-22 21:23:18,982 - mmseg - INFO - Iter [148300/160000] lr: 6.966e-07, eta: 1:54:13, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1482, decode.loss_mask: 0.4371, decode.loss_dice: 0.6539, decode.d0.loss_cls: 1.2353, decode.d0.loss_mask: 0.4676, decode.d0.loss_dice: 0.7189, decode.d1.loss_cls: 0.2180, decode.d1.loss_mask: 0.4539, decode.d1.loss_dice: 0.6831, decode.d2.loss_cls: 0.1843, decode.d2.loss_mask: 0.4464, decode.d2.loss_dice: 0.6697, decode.d3.loss_cls: 0.1674, decode.d3.loss_mask: 0.4410, decode.d3.loss_dice: 0.6585, decode.d4.loss_cls: 0.1607, decode.d4.loss_mask: 0.4385, decode.d4.loss_dice: 0.6606, decode.d5.loss_cls: 0.1562, decode.d5.loss_mask: 0.4387, decode.d5.loss_dice: 0.6574, decode.d6.loss_cls: 0.1567, decode.d6.loss_mask: 0.4374, decode.d6.loss_dice: 0.6535, decode.d7.loss_cls: 0.1509, decode.d7.loss_mask: 0.4378, decode.d7.loss_dice: 0.6561, decode.d8.loss_cls: 0.1494, decode.d8.loss_mask: 0.4368, decode.d8.loss_dice: 0.6536, loss: 13.8277, grad_norm: 66.3701 2023-11-22 21:23:47,289 - mmseg - INFO - Iter [148350/160000] lr: 6.936e-07, eta: 1:53:44, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1542, decode.loss_mask: 0.4162, decode.loss_dice: 0.6421, decode.d0.loss_cls: 1.2433, decode.d0.loss_mask: 0.4496, decode.d0.loss_dice: 0.7049, decode.d1.loss_cls: 0.2265, decode.d1.loss_mask: 0.4343, decode.d1.loss_dice: 0.6766, decode.d2.loss_cls: 0.1873, decode.d2.loss_mask: 0.4243, decode.d2.loss_dice: 0.6591, decode.d3.loss_cls: 0.1703, decode.d3.loss_mask: 0.4208, decode.d3.loss_dice: 0.6496, decode.d4.loss_cls: 0.1638, decode.d4.loss_mask: 0.4187, decode.d4.loss_dice: 0.6478, decode.d5.loss_cls: 0.1607, decode.d5.loss_mask: 0.4176, decode.d5.loss_dice: 0.6451, decode.d6.loss_cls: 0.1611, decode.d6.loss_mask: 0.4164, decode.d6.loss_dice: 0.6418, decode.d7.loss_cls: 0.1600, decode.d7.loss_mask: 0.4179, decode.d7.loss_dice: 0.6416, decode.d8.loss_cls: 0.1545, decode.d8.loss_mask: 0.4169, decode.d8.loss_dice: 0.6402, loss: 13.5633, grad_norm: 64.5908 2023-11-22 21:24:15,751 - mmseg - INFO - Iter [148400/160000] lr: 6.906e-07, eta: 1:53:14, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1589, decode.loss_mask: 0.4229, decode.loss_dice: 0.6485, decode.d0.loss_cls: 1.2726, decode.d0.loss_mask: 0.4581, decode.d0.loss_dice: 0.7273, decode.d1.loss_cls: 0.2458, decode.d1.loss_mask: 0.4410, decode.d1.loss_dice: 0.6862, decode.d2.loss_cls: 0.1970, decode.d2.loss_mask: 0.4316, decode.d2.loss_dice: 0.6694, decode.d3.loss_cls: 0.1772, decode.d3.loss_mask: 0.4274, decode.d3.loss_dice: 0.6579, decode.d4.loss_cls: 0.1713, decode.d4.loss_mask: 0.4270, decode.d4.loss_dice: 0.6579, decode.d5.loss_cls: 0.1679, decode.d5.loss_mask: 0.4256, decode.d5.loss_dice: 0.6573, decode.d6.loss_cls: 0.1644, decode.d6.loss_mask: 0.4248, decode.d6.loss_dice: 0.6532, decode.d7.loss_cls: 0.1576, decode.d7.loss_mask: 0.4255, decode.d7.loss_dice: 0.6516, decode.d8.loss_cls: 0.1592, decode.d8.loss_mask: 0.4242, decode.d8.loss_dice: 0.6517, loss: 13.8411, grad_norm: 66.9960 2023-11-22 21:24:44,146 - mmseg - INFO - Iter [148450/160000] lr: 6.876e-07, eta: 1:52:45, time: 0.568, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1601, decode.loss_mask: 0.4183, decode.loss_dice: 0.6475, decode.d0.loss_cls: 1.2896, decode.d0.loss_mask: 0.4503, decode.d0.loss_dice: 0.7130, decode.d1.loss_cls: 0.2413, decode.d1.loss_mask: 0.4311, decode.d1.loss_dice: 0.6755, decode.d2.loss_cls: 0.2003, decode.d2.loss_mask: 0.4234, decode.d2.loss_dice: 0.6597, decode.d3.loss_cls: 0.1806, decode.d3.loss_mask: 0.4205, decode.d3.loss_dice: 0.6425, decode.d4.loss_cls: 0.1745, decode.d4.loss_mask: 0.4191, decode.d4.loss_dice: 0.6482, decode.d5.loss_cls: 0.1661, decode.d5.loss_mask: 0.4192, decode.d5.loss_dice: 0.6489, decode.d6.loss_cls: 0.1702, decode.d6.loss_mask: 0.4190, decode.d6.loss_dice: 0.6434, decode.d7.loss_cls: 0.1642, decode.d7.loss_mask: 0.4179, decode.d7.loss_dice: 0.6464, decode.d8.loss_cls: 0.1622, decode.d8.loss_mask: 0.4176, decode.d8.loss_dice: 0.6444, loss: 13.7152, grad_norm: 61.8379 2023-11-22 21:25:12,862 - mmseg - INFO - Iter [148500/160000] lr: 6.847e-07, eta: 1:52:16, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1607, decode.loss_mask: 0.4373, decode.loss_dice: 0.6596, decode.d0.loss_cls: 1.2483, decode.d0.loss_mask: 0.4743, decode.d0.loss_dice: 0.7257, decode.d1.loss_cls: 0.2318, decode.d1.loss_mask: 0.4533, decode.d1.loss_dice: 0.6944, decode.d2.loss_cls: 0.1932, decode.d2.loss_mask: 0.4458, decode.d2.loss_dice: 0.6801, decode.d3.loss_cls: 0.1768, decode.d3.loss_mask: 0.4423, decode.d3.loss_dice: 0.6663, decode.d4.loss_cls: 0.1723, decode.d4.loss_mask: 0.4397, decode.d4.loss_dice: 0.6650, decode.d5.loss_cls: 0.1645, decode.d5.loss_mask: 0.4402, decode.d5.loss_dice: 0.6647, decode.d6.loss_cls: 0.1618, decode.d6.loss_mask: 0.4392, decode.d6.loss_dice: 0.6609, decode.d7.loss_cls: 0.1594, decode.d7.loss_mask: 0.4389, decode.d7.loss_dice: 0.6621, decode.d8.loss_cls: 0.1607, decode.d8.loss_mask: 0.4381, decode.d8.loss_dice: 0.6594, loss: 14.0168, grad_norm: 64.6734 2023-11-22 21:25:41,345 - mmseg - INFO - Iter [148550/160000] lr: 6.817e-07, eta: 1:51:46, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1573, decode.loss_mask: 0.4280, decode.loss_dice: 0.6425, decode.d0.loss_cls: 1.2373, decode.d0.loss_mask: 0.4663, decode.d0.loss_dice: 0.7134, decode.d1.loss_cls: 0.2392, decode.d1.loss_mask: 0.4467, decode.d1.loss_dice: 0.6796, decode.d2.loss_cls: 0.1908, decode.d2.loss_mask: 0.4369, decode.d2.loss_dice: 0.6614, decode.d3.loss_cls: 0.1735, decode.d3.loss_mask: 0.4322, decode.d3.loss_dice: 0.6483, decode.d4.loss_cls: 0.1726, decode.d4.loss_mask: 0.4301, decode.d4.loss_dice: 0.6488, decode.d5.loss_cls: 0.1668, decode.d5.loss_mask: 0.4299, decode.d5.loss_dice: 0.6423, decode.d6.loss_cls: 0.1632, decode.d6.loss_mask: 0.4282, decode.d6.loss_dice: 0.6407, decode.d7.loss_cls: 0.1587, decode.d7.loss_mask: 0.4292, decode.d7.loss_dice: 0.6458, decode.d8.loss_cls: 0.1591, decode.d8.loss_mask: 0.4287, decode.d8.loss_dice: 0.6437, loss: 13.7413, grad_norm: 64.7676 2023-11-22 21:26:09,518 - mmseg - INFO - Iter [148600/160000] lr: 6.787e-07, eta: 1:51:17, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1593, decode.loss_mask: 0.4241, decode.loss_dice: 0.6523, decode.d0.loss_cls: 1.2487, decode.d0.loss_mask: 0.4568, decode.d0.loss_dice: 0.7281, decode.d1.loss_cls: 0.2409, decode.d1.loss_mask: 0.4398, decode.d1.loss_dice: 0.6918, decode.d2.loss_cls: 0.1991, decode.d2.loss_mask: 0.4314, decode.d2.loss_dice: 0.6735, decode.d3.loss_cls: 0.1826, decode.d3.loss_mask: 0.4266, decode.d3.loss_dice: 0.6593, decode.d4.loss_cls: 0.1778, decode.d4.loss_mask: 0.4246, decode.d4.loss_dice: 0.6623, decode.d5.loss_cls: 0.1721, decode.d5.loss_mask: 0.4236, decode.d5.loss_dice: 0.6569, decode.d6.loss_cls: 0.1676, decode.d6.loss_mask: 0.4249, decode.d6.loss_dice: 0.6548, decode.d7.loss_cls: 0.1633, decode.d7.loss_mask: 0.4227, decode.d7.loss_dice: 0.6548, decode.d8.loss_cls: 0.1654, decode.d8.loss_mask: 0.4229, decode.d8.loss_dice: 0.6564, loss: 13.8645, grad_norm: 63.9803 2023-11-22 21:26:37,936 - mmseg - INFO - Iter [148650/160000] lr: 6.757e-07, eta: 1:50:48, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1622, decode.loss_mask: 0.4221, decode.loss_dice: 0.6590, decode.d0.loss_cls: 1.2405, decode.d0.loss_mask: 0.4545, decode.d0.loss_dice: 0.7237, decode.d1.loss_cls: 0.2320, decode.d1.loss_mask: 0.4382, decode.d1.loss_dice: 0.6974, decode.d2.loss_cls: 0.1946, decode.d2.loss_mask: 0.4324, decode.d2.loss_dice: 0.6761, decode.d3.loss_cls: 0.1817, decode.d3.loss_mask: 0.4259, decode.d3.loss_dice: 0.6613, decode.d4.loss_cls: 0.1780, decode.d4.loss_mask: 0.4239, decode.d4.loss_dice: 0.6615, decode.d5.loss_cls: 0.1704, decode.d5.loss_mask: 0.4239, decode.d5.loss_dice: 0.6621, decode.d6.loss_cls: 0.1661, decode.d6.loss_mask: 0.4232, decode.d6.loss_dice: 0.6570, decode.d7.loss_cls: 0.1660, decode.d7.loss_mask: 0.4229, decode.d7.loss_dice: 0.6571, decode.d8.loss_cls: 0.1645, decode.d8.loss_mask: 0.4231, decode.d8.loss_dice: 0.6602, loss: 13.8616, grad_norm: 63.6619 2023-11-22 21:27:06,100 - mmseg - INFO - Iter [148700/160000] lr: 6.728e-07, eta: 1:50:18, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1729, decode.loss_mask: 0.4281, decode.loss_dice: 0.6501, decode.d0.loss_cls: 1.2584, decode.d0.loss_mask: 0.4537, decode.d0.loss_dice: 0.7221, decode.d1.loss_cls: 0.2427, decode.d1.loss_mask: 0.4377, decode.d1.loss_dice: 0.6870, decode.d2.loss_cls: 0.2085, decode.d2.loss_mask: 0.4308, decode.d2.loss_dice: 0.6654, decode.d3.loss_cls: 0.1932, decode.d3.loss_mask: 0.4281, decode.d3.loss_dice: 0.6614, decode.d4.loss_cls: 0.1855, decode.d4.loss_mask: 0.4269, decode.d4.loss_dice: 0.6555, decode.d5.loss_cls: 0.1893, decode.d5.loss_mask: 0.4270, decode.d5.loss_dice: 0.6581, decode.d6.loss_cls: 0.1795, decode.d6.loss_mask: 0.4242, decode.d6.loss_dice: 0.6514, decode.d7.loss_cls: 0.1799, decode.d7.loss_mask: 0.4264, decode.d7.loss_dice: 0.6552, decode.d8.loss_cls: 0.1762, decode.d8.loss_mask: 0.4264, decode.d8.loss_dice: 0.6568, loss: 13.9585, grad_norm: 67.8356 2023-11-22 21:27:34,501 - mmseg - INFO - Iter [148750/160000] lr: 6.698e-07, eta: 1:49:49, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1573, decode.loss_mask: 0.4543, decode.loss_dice: 0.6650, decode.d0.loss_cls: 1.2496, decode.d0.loss_mask: 0.4872, decode.d0.loss_dice: 0.7294, decode.d1.loss_cls: 0.2243, decode.d1.loss_mask: 0.4694, decode.d1.loss_dice: 0.7050, decode.d2.loss_cls: 0.1934, decode.d2.loss_mask: 0.4640, decode.d2.loss_dice: 0.6857, decode.d3.loss_cls: 0.1718, decode.d3.loss_mask: 0.4577, decode.d3.loss_dice: 0.6753, decode.d4.loss_cls: 0.1669, decode.d4.loss_mask: 0.4569, decode.d4.loss_dice: 0.6764, decode.d5.loss_cls: 0.1623, decode.d5.loss_mask: 0.4553, decode.d5.loss_dice: 0.6746, decode.d6.loss_cls: 0.1633, decode.d6.loss_mask: 0.4573, decode.d6.loss_dice: 0.6747, decode.d7.loss_cls: 0.1606, decode.d7.loss_mask: 0.4564, decode.d7.loss_dice: 0.6691, decode.d8.loss_cls: 0.1552, decode.d8.loss_mask: 0.4559, decode.d8.loss_dice: 0.6688, loss: 14.2430, grad_norm: 69.4349 2023-11-22 21:28:03,086 - mmseg - INFO - Iter [148800/160000] lr: 6.668e-07, eta: 1:49:20, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1426, decode.loss_mask: 0.4291, decode.loss_dice: 0.6443, decode.d0.loss_cls: 1.2352, decode.d0.loss_mask: 0.4617, decode.d0.loss_dice: 0.7055, decode.d1.loss_cls: 0.2079, decode.d1.loss_mask: 0.4468, decode.d1.loss_dice: 0.6732, decode.d2.loss_cls: 0.1707, decode.d2.loss_mask: 0.4370, decode.d2.loss_dice: 0.6597, decode.d3.loss_cls: 0.1549, decode.d3.loss_mask: 0.4341, decode.d3.loss_dice: 0.6466, decode.d4.loss_cls: 0.1514, decode.d4.loss_mask: 0.4319, decode.d4.loss_dice: 0.6480, decode.d5.loss_cls: 0.1477, decode.d5.loss_mask: 0.4310, decode.d5.loss_dice: 0.6496, decode.d6.loss_cls: 0.1448, decode.d6.loss_mask: 0.4317, decode.d6.loss_dice: 0.6431, decode.d7.loss_cls: 0.1429, decode.d7.loss_mask: 0.4311, decode.d7.loss_dice: 0.6453, decode.d8.loss_cls: 0.1414, decode.d8.loss_mask: 0.4295, decode.d8.loss_dice: 0.6460, loss: 13.5648, grad_norm: 64.5500 2023-11-22 21:28:31,383 - mmseg - INFO - Iter [148850/160000] lr: 6.638e-07, eta: 1:48:50, time: 0.568, data_time: 0.015, memory: 38143, decode.loss_cls: 0.1523, decode.loss_mask: 0.4209, decode.loss_dice: 0.6536, decode.d0.loss_cls: 1.2276, decode.d0.loss_mask: 0.4553, decode.d0.loss_dice: 0.7186, decode.d1.loss_cls: 0.2195, decode.d1.loss_mask: 0.4369, decode.d1.loss_dice: 0.6924, decode.d2.loss_cls: 0.1807, decode.d2.loss_mask: 0.4275, decode.d2.loss_dice: 0.6681, decode.d3.loss_cls: 0.1669, decode.d3.loss_mask: 0.4254, decode.d3.loss_dice: 0.6581, decode.d4.loss_cls: 0.1582, decode.d4.loss_mask: 0.4229, decode.d4.loss_dice: 0.6607, decode.d5.loss_cls: 0.1545, decode.d5.loss_mask: 0.4231, decode.d5.loss_dice: 0.6597, decode.d6.loss_cls: 0.1583, decode.d6.loss_mask: 0.4220, decode.d6.loss_dice: 0.6557, decode.d7.loss_cls: 0.1527, decode.d7.loss_mask: 0.4219, decode.d7.loss_dice: 0.6544, decode.d8.loss_cls: 0.1540, decode.d8.loss_mask: 0.4208, decode.d8.loss_dice: 0.6576, loss: 13.6805, grad_norm: 68.8561 2023-11-22 21:28:59,586 - mmseg - INFO - Iter [148900/160000] lr: 6.608e-07, eta: 1:48:21, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1398, decode.loss_mask: 0.4154, decode.loss_dice: 0.6225, decode.d0.loss_cls: 1.2214, decode.d0.loss_mask: 0.4480, decode.d0.loss_dice: 0.6864, decode.d1.loss_cls: 0.2160, decode.d1.loss_mask: 0.4302, decode.d1.loss_dice: 0.6537, decode.d2.loss_cls: 0.1737, decode.d2.loss_mask: 0.4213, decode.d2.loss_dice: 0.6381, decode.d3.loss_cls: 0.1558, decode.d3.loss_mask: 0.4190, decode.d3.loss_dice: 0.6291, decode.d4.loss_cls: 0.1522, decode.d4.loss_mask: 0.4183, decode.d4.loss_dice: 0.6292, decode.d5.loss_cls: 0.1515, decode.d5.loss_mask: 0.4174, decode.d5.loss_dice: 0.6273, decode.d6.loss_cls: 0.1461, decode.d6.loss_mask: 0.4163, decode.d6.loss_dice: 0.6223, decode.d7.loss_cls: 0.1434, decode.d7.loss_mask: 0.4161, decode.d7.loss_dice: 0.6225, decode.d8.loss_cls: 0.1402, decode.d8.loss_mask: 0.4158, decode.d8.loss_dice: 0.6249, loss: 13.2137, grad_norm: 55.1682 2023-11-22 21:29:27,759 - mmseg - INFO - Iter [148950/160000] lr: 6.579e-07, eta: 1:47:51, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1685, decode.loss_mask: 0.4270, decode.loss_dice: 0.6595, decode.d0.loss_cls: 1.2545, decode.d0.loss_mask: 0.4623, decode.d0.loss_dice: 0.7295, decode.d1.loss_cls: 0.2495, decode.d1.loss_mask: 0.4393, decode.d1.loss_dice: 0.6883, decode.d2.loss_cls: 0.2013, decode.d2.loss_mask: 0.4336, decode.d2.loss_dice: 0.6705, decode.d3.loss_cls: 0.1852, decode.d3.loss_mask: 0.4299, decode.d3.loss_dice: 0.6622, decode.d4.loss_cls: 0.1761, decode.d4.loss_mask: 0.4285, decode.d4.loss_dice: 0.6629, decode.d5.loss_cls: 0.1709, decode.d5.loss_mask: 0.4275, decode.d5.loss_dice: 0.6613, decode.d6.loss_cls: 0.1676, decode.d6.loss_mask: 0.4278, decode.d6.loss_dice: 0.6589, decode.d7.loss_cls: 0.1706, decode.d7.loss_mask: 0.4276, decode.d7.loss_dice: 0.6629, decode.d8.loss_cls: 0.1686, decode.d8.loss_mask: 0.4271, decode.d8.loss_dice: 0.6646, loss: 13.9639, grad_norm: 68.2000 2023-11-22 21:29:55,977 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 21:29:55,978 - mmseg - INFO - Iter [149000/160000] lr: 6.549e-07, eta: 1:47:22, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1359, decode.loss_mask: 0.4175, decode.loss_dice: 0.6343, decode.d0.loss_cls: 1.2006, decode.d0.loss_mask: 0.4487, decode.d0.loss_dice: 0.6906, decode.d1.loss_cls: 0.2038, decode.d1.loss_mask: 0.4308, decode.d1.loss_dice: 0.6643, decode.d2.loss_cls: 0.1714, decode.d2.loss_mask: 0.4221, decode.d2.loss_dice: 0.6493, decode.d3.loss_cls: 0.1554, decode.d3.loss_mask: 0.4206, decode.d3.loss_dice: 0.6368, decode.d4.loss_cls: 0.1490, decode.d4.loss_mask: 0.4199, decode.d4.loss_dice: 0.6388, decode.d5.loss_cls: 0.1434, decode.d5.loss_mask: 0.4199, decode.d5.loss_dice: 0.6363, decode.d6.loss_cls: 0.1385, decode.d6.loss_mask: 0.4195, decode.d6.loss_dice: 0.6355, decode.d7.loss_cls: 0.1418, decode.d7.loss_mask: 0.4181, decode.d7.loss_dice: 0.6313, decode.d8.loss_cls: 0.1373, decode.d8.loss_mask: 0.4187, decode.d8.loss_dice: 0.6358, loss: 13.2660, grad_norm: 63.8642 2023-11-22 21:30:26,824 - mmseg - INFO - Iter [149050/160000] lr: 6.519e-07, eta: 1:46:53, time: 0.617, data_time: 0.058, memory: 38143, decode.loss_cls: 0.1669, decode.loss_mask: 0.4347, decode.loss_dice: 0.6406, decode.d0.loss_cls: 1.2445, decode.d0.loss_mask: 0.4648, decode.d0.loss_dice: 0.7084, decode.d1.loss_cls: 0.2384, decode.d1.loss_mask: 0.4510, decode.d1.loss_dice: 0.6731, decode.d2.loss_cls: 0.1963, decode.d2.loss_mask: 0.4430, decode.d2.loss_dice: 0.6601, decode.d3.loss_cls: 0.1853, decode.d3.loss_mask: 0.4388, decode.d3.loss_dice: 0.6478, decode.d4.loss_cls: 0.1788, decode.d4.loss_mask: 0.4371, decode.d4.loss_dice: 0.6468, decode.d5.loss_cls: 0.1768, decode.d5.loss_mask: 0.4365, decode.d5.loss_dice: 0.6433, decode.d6.loss_cls: 0.1699, decode.d6.loss_mask: 0.4353, decode.d6.loss_dice: 0.6432, decode.d7.loss_cls: 0.1721, decode.d7.loss_mask: 0.4349, decode.d7.loss_dice: 0.6419, decode.d8.loss_cls: 0.1685, decode.d8.loss_mask: 0.4338, decode.d8.loss_dice: 0.6406, loss: 13.8530, grad_norm: 66.1266 2023-11-22 21:30:55,317 - mmseg - INFO - Iter [149100/160000] lr: 6.489e-07, eta: 1:46:24, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1670, decode.loss_mask: 0.4279, decode.loss_dice: 0.6585, decode.d0.loss_cls: 1.2601, decode.d0.loss_mask: 0.4626, decode.d0.loss_dice: 0.7312, decode.d1.loss_cls: 0.2416, decode.d1.loss_mask: 0.4421, decode.d1.loss_dice: 0.6901, decode.d2.loss_cls: 0.2040, decode.d2.loss_mask: 0.4344, decode.d2.loss_dice: 0.6736, decode.d3.loss_cls: 0.1855, decode.d3.loss_mask: 0.4314, decode.d3.loss_dice: 0.6622, decode.d4.loss_cls: 0.1835, decode.d4.loss_mask: 0.4311, decode.d4.loss_dice: 0.6615, decode.d5.loss_cls: 0.1787, decode.d5.loss_mask: 0.4294, decode.d5.loss_dice: 0.6635, decode.d6.loss_cls: 0.1687, decode.d6.loss_mask: 0.4287, decode.d6.loss_dice: 0.6613, decode.d7.loss_cls: 0.1658, decode.d7.loss_mask: 0.4285, decode.d7.loss_dice: 0.6590, decode.d8.loss_cls: 0.1692, decode.d8.loss_mask: 0.4280, decode.d8.loss_dice: 0.6582, loss: 13.9872, grad_norm: 59.8179 2023-11-22 21:31:23,545 - mmseg - INFO - Iter [149150/160000] lr: 6.460e-07, eta: 1:45:54, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1518, decode.loss_mask: 0.4374, decode.loss_dice: 0.6693, decode.d0.loss_cls: 1.2617, decode.d0.loss_mask: 0.4691, decode.d0.loss_dice: 0.7355, decode.d1.loss_cls: 0.2289, decode.d1.loss_mask: 0.4506, decode.d1.loss_dice: 0.6952, decode.d2.loss_cls: 0.1861, decode.d2.loss_mask: 0.4440, decode.d2.loss_dice: 0.6838, decode.d3.loss_cls: 0.1718, decode.d3.loss_mask: 0.4413, decode.d3.loss_dice: 0.6719, decode.d4.loss_cls: 0.1600, decode.d4.loss_mask: 0.4410, decode.d4.loss_dice: 0.6784, decode.d5.loss_cls: 0.1566, decode.d5.loss_mask: 0.4386, decode.d5.loss_dice: 0.6728, decode.d6.loss_cls: 0.1560, decode.d6.loss_mask: 0.4390, decode.d6.loss_dice: 0.6720, decode.d7.loss_cls: 0.1529, decode.d7.loss_mask: 0.4394, decode.d7.loss_dice: 0.6691, decode.d8.loss_cls: 0.1470, decode.d8.loss_mask: 0.4380, decode.d8.loss_dice: 0.6724, loss: 14.0318, grad_norm: 61.6811 2023-11-22 21:31:51,692 - mmseg - INFO - Iter [149200/160000] lr: 6.430e-07, eta: 1:45:25, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1410, decode.loss_mask: 0.4326, decode.loss_dice: 0.6505, decode.d0.loss_cls: 1.2384, decode.d0.loss_mask: 0.4666, decode.d0.loss_dice: 0.7186, decode.d1.loss_cls: 0.2061, decode.d1.loss_mask: 0.4524, decode.d1.loss_dice: 0.6828, decode.d2.loss_cls: 0.1676, decode.d2.loss_mask: 0.4418, decode.d2.loss_dice: 0.6638, decode.d3.loss_cls: 0.1532, decode.d3.loss_mask: 0.4388, decode.d3.loss_dice: 0.6573, decode.d4.loss_cls: 0.1521, decode.d4.loss_mask: 0.4351, decode.d4.loss_dice: 0.6512, decode.d5.loss_cls: 0.1468, decode.d5.loss_mask: 0.4353, decode.d5.loss_dice: 0.6568, decode.d6.loss_cls: 0.1452, decode.d6.loss_mask: 0.4352, decode.d6.loss_dice: 0.6486, decode.d7.loss_cls: 0.1395, decode.d7.loss_mask: 0.4346, decode.d7.loss_dice: 0.6494, decode.d8.loss_cls: 0.1435, decode.d8.loss_mask: 0.4322, decode.d8.loss_dice: 0.6492, loss: 13.6661, grad_norm: 66.2955 2023-11-22 21:32:20,032 - mmseg - INFO - Iter [149250/160000] lr: 6.400e-07, eta: 1:44:55, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1810, decode.loss_mask: 0.4306, decode.loss_dice: 0.6587, decode.d0.loss_cls: 1.2439, decode.d0.loss_mask: 0.4647, decode.d0.loss_dice: 0.7270, decode.d1.loss_cls: 0.2421, decode.d1.loss_mask: 0.4477, decode.d1.loss_dice: 0.6963, decode.d2.loss_cls: 0.2078, decode.d2.loss_mask: 0.4409, decode.d2.loss_dice: 0.6812, decode.d3.loss_cls: 0.1936, decode.d3.loss_mask: 0.4357, decode.d3.loss_dice: 0.6667, decode.d4.loss_cls: 0.1894, decode.d4.loss_mask: 0.4351, decode.d4.loss_dice: 0.6675, decode.d5.loss_cls: 0.1817, decode.d5.loss_mask: 0.4352, decode.d5.loss_dice: 0.6700, decode.d6.loss_cls: 0.1838, decode.d6.loss_mask: 0.4314, decode.d6.loss_dice: 0.6648, decode.d7.loss_cls: 0.1811, decode.d7.loss_mask: 0.4306, decode.d7.loss_dice: 0.6611, decode.d8.loss_cls: 0.1816, decode.d8.loss_mask: 0.4292, decode.d8.loss_dice: 0.6597, loss: 14.1202, grad_norm: 69.3404 2023-11-22 21:32:48,185 - mmseg - INFO - Iter [149300/160000] lr: 6.370e-07, eta: 1:44:26, time: 0.563, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1512, decode.loss_mask: 0.4228, decode.loss_dice: 0.6500, decode.d0.loss_cls: 1.2262, decode.d0.loss_mask: 0.4569, decode.d0.loss_dice: 0.7173, decode.d1.loss_cls: 0.2270, decode.d1.loss_mask: 0.4395, decode.d1.loss_dice: 0.6814, decode.d2.loss_cls: 0.1898, decode.d2.loss_mask: 0.4312, decode.d2.loss_dice: 0.6681, decode.d3.loss_cls: 0.1691, decode.d3.loss_mask: 0.4251, decode.d3.loss_dice: 0.6585, decode.d4.loss_cls: 0.1617, decode.d4.loss_mask: 0.4235, decode.d4.loss_dice: 0.6587, decode.d5.loss_cls: 0.1583, decode.d5.loss_mask: 0.4233, decode.d5.loss_dice: 0.6593, decode.d6.loss_cls: 0.1579, decode.d6.loss_mask: 0.4221, decode.d6.loss_dice: 0.6496, decode.d7.loss_cls: 0.1513, decode.d7.loss_mask: 0.4219, decode.d7.loss_dice: 0.6541, decode.d8.loss_cls: 0.1523, decode.d8.loss_mask: 0.4210, decode.d8.loss_dice: 0.6541, loss: 13.6832, grad_norm: 67.0953 2023-11-22 21:33:16,684 - mmseg - INFO - Iter [149350/160000] lr: 6.341e-07, eta: 1:43:57, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1648, decode.loss_mask: 0.4291, decode.loss_dice: 0.6426, decode.d0.loss_cls: 1.2760, decode.d0.loss_mask: 0.4630, decode.d0.loss_dice: 0.7154, decode.d1.loss_cls: 0.2434, decode.d1.loss_mask: 0.4451, decode.d1.loss_dice: 0.6753, decode.d2.loss_cls: 0.1964, decode.d2.loss_mask: 0.4375, decode.d2.loss_dice: 0.6599, decode.d3.loss_cls: 0.1831, decode.d3.loss_mask: 0.4334, decode.d3.loss_dice: 0.6496, decode.d4.loss_cls: 0.1762, decode.d4.loss_mask: 0.4317, decode.d4.loss_dice: 0.6469, decode.d5.loss_cls: 0.1762, decode.d5.loss_mask: 0.4308, decode.d5.loss_dice: 0.6492, decode.d6.loss_cls: 0.1733, decode.d6.loss_mask: 0.4307, decode.d6.loss_dice: 0.6388, decode.d7.loss_cls: 0.1649, decode.d7.loss_mask: 0.4316, decode.d7.loss_dice: 0.6451, decode.d8.loss_cls: 0.1660, decode.d8.loss_mask: 0.4306, decode.d8.loss_dice: 0.6447, loss: 13.8514, grad_norm: 70.8713 2023-11-22 21:33:45,202 - mmseg - INFO - Iter [149400/160000] lr: 6.311e-07, eta: 1:43:27, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1584, decode.loss_mask: 0.4074, decode.loss_dice: 0.6566, decode.d0.loss_cls: 1.2688, decode.d0.loss_mask: 0.4406, decode.d0.loss_dice: 0.7147, decode.d1.loss_cls: 0.2358, decode.d1.loss_mask: 0.4236, decode.d1.loss_dice: 0.6844, decode.d2.loss_cls: 0.1884, decode.d2.loss_mask: 0.4161, decode.d2.loss_dice: 0.6694, decode.d3.loss_cls: 0.1764, decode.d3.loss_mask: 0.4122, decode.d3.loss_dice: 0.6626, decode.d4.loss_cls: 0.1718, decode.d4.loss_mask: 0.4113, decode.d4.loss_dice: 0.6586, decode.d5.loss_cls: 0.1676, decode.d5.loss_mask: 0.4103, decode.d5.loss_dice: 0.6583, decode.d6.loss_cls: 0.1671, decode.d6.loss_mask: 0.4101, decode.d6.loss_dice: 0.6536, decode.d7.loss_cls: 0.1620, decode.d7.loss_mask: 0.4081, decode.d7.loss_dice: 0.6559, decode.d8.loss_cls: 0.1578, decode.d8.loss_mask: 0.4068, decode.d8.loss_dice: 0.6550, loss: 13.6698, grad_norm: 63.3864 2023-11-22 21:34:13,654 - mmseg - INFO - Iter [149450/160000] lr: 6.281e-07, eta: 1:42:58, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1438, decode.loss_mask: 0.4407, decode.loss_dice: 0.6443, decode.d0.loss_cls: 1.2197, decode.d0.loss_mask: 0.4749, decode.d0.loss_dice: 0.7111, decode.d1.loss_cls: 0.2203, decode.d1.loss_mask: 0.4543, decode.d1.loss_dice: 0.6788, decode.d2.loss_cls: 0.1776, decode.d2.loss_mask: 0.4482, decode.d2.loss_dice: 0.6623, decode.d3.loss_cls: 0.1616, decode.d3.loss_mask: 0.4454, decode.d3.loss_dice: 0.6530, decode.d4.loss_cls: 0.1548, decode.d4.loss_mask: 0.4423, decode.d4.loss_dice: 0.6520, decode.d5.loss_cls: 0.1520, decode.d5.loss_mask: 0.4423, decode.d5.loss_dice: 0.6487, decode.d6.loss_cls: 0.1501, decode.d6.loss_mask: 0.4424, decode.d6.loss_dice: 0.6465, decode.d7.loss_cls: 0.1466, decode.d7.loss_mask: 0.4413, decode.d7.loss_dice: 0.6460, decode.d8.loss_cls: 0.1453, decode.d8.loss_mask: 0.4409, decode.d8.loss_dice: 0.6495, loss: 13.7368, grad_norm: 64.7644 2023-11-22 21:34:41,876 - mmseg - INFO - Iter [149500/160000] lr: 6.251e-07, eta: 1:42:29, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1505, decode.loss_mask: 0.4417, decode.loss_dice: 0.6380, decode.d0.loss_cls: 1.2016, decode.d0.loss_mask: 0.4752, decode.d0.loss_dice: 0.7056, decode.d1.loss_cls: 0.2197, decode.d1.loss_mask: 0.4597, decode.d1.loss_dice: 0.6676, decode.d2.loss_cls: 0.1811, decode.d2.loss_mask: 0.4525, decode.d2.loss_dice: 0.6566, decode.d3.loss_cls: 0.1710, decode.d3.loss_mask: 0.4436, decode.d3.loss_dice: 0.6418, decode.d4.loss_cls: 0.1630, decode.d4.loss_mask: 0.4459, decode.d4.loss_dice: 0.6439, decode.d5.loss_cls: 0.1608, decode.d5.loss_mask: 0.4430, decode.d5.loss_dice: 0.6434, decode.d6.loss_cls: 0.1578, decode.d6.loss_mask: 0.4427, decode.d6.loss_dice: 0.6378, decode.d7.loss_cls: 0.1561, decode.d7.loss_mask: 0.4422, decode.d7.loss_dice: 0.6357, decode.d8.loss_cls: 0.1527, decode.d8.loss_mask: 0.4414, decode.d8.loss_dice: 0.6384, loss: 13.7112, grad_norm: 67.9314 2023-11-22 21:35:10,199 - mmseg - INFO - Iter [149550/160000] lr: 6.222e-07, eta: 1:41:59, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1606, decode.loss_mask: 0.4325, decode.loss_dice: 0.6408, decode.d0.loss_cls: 1.2484, decode.d0.loss_mask: 0.4686, decode.d0.loss_dice: 0.7030, decode.d1.loss_cls: 0.2310, decode.d1.loss_mask: 0.4485, decode.d1.loss_dice: 0.6760, decode.d2.loss_cls: 0.1905, decode.d2.loss_mask: 0.4416, decode.d2.loss_dice: 0.6593, decode.d3.loss_cls: 0.1768, decode.d3.loss_mask: 0.4360, decode.d3.loss_dice: 0.6442, decode.d4.loss_cls: 0.1691, decode.d4.loss_mask: 0.4353, decode.d4.loss_dice: 0.6439, decode.d5.loss_cls: 0.1666, decode.d5.loss_mask: 0.4344, decode.d5.loss_dice: 0.6406, decode.d6.loss_cls: 0.1603, decode.d6.loss_mask: 0.4346, decode.d6.loss_dice: 0.6425, decode.d7.loss_cls: 0.1580, decode.d7.loss_mask: 0.4330, decode.d7.loss_dice: 0.6403, decode.d8.loss_cls: 0.1566, decode.d8.loss_mask: 0.4326, decode.d8.loss_dice: 0.6381, loss: 13.7438, grad_norm: 61.5257 2023-11-22 21:35:38,347 - mmseg - INFO - Iter [149600/160000] lr: 6.192e-07, eta: 1:41:30, time: 0.563, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1542, decode.loss_mask: 0.4195, decode.loss_dice: 0.6463, decode.d0.loss_cls: 1.2305, decode.d0.loss_mask: 0.4553, decode.d0.loss_dice: 0.7137, decode.d1.loss_cls: 0.2285, decode.d1.loss_mask: 0.4303, decode.d1.loss_dice: 0.6723, decode.d2.loss_cls: 0.1931, decode.d2.loss_mask: 0.4245, decode.d2.loss_dice: 0.6573, decode.d3.loss_cls: 0.1803, decode.d3.loss_mask: 0.4219, decode.d3.loss_dice: 0.6455, decode.d4.loss_cls: 0.1700, decode.d4.loss_mask: 0.4212, decode.d4.loss_dice: 0.6475, decode.d5.loss_cls: 0.1657, decode.d5.loss_mask: 0.4210, decode.d5.loss_dice: 0.6488, decode.d6.loss_cls: 0.1614, decode.d6.loss_mask: 0.4192, decode.d6.loss_dice: 0.6415, decode.d7.loss_cls: 0.1608, decode.d7.loss_mask: 0.4193, decode.d7.loss_dice: 0.6437, decode.d8.loss_cls: 0.1564, decode.d8.loss_mask: 0.4194, decode.d8.loss_dice: 0.6442, loss: 13.6133, grad_norm: 61.9955 2023-11-22 21:36:06,814 - mmseg - INFO - Iter [149650/160000] lr: 6.162e-07, eta: 1:41:01, time: 0.569, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1499, decode.loss_mask: 0.4204, decode.loss_dice: 0.6274, decode.d0.loss_cls: 1.2154, decode.d0.loss_mask: 0.4515, decode.d0.loss_dice: 0.6909, decode.d1.loss_cls: 0.2129, decode.d1.loss_mask: 0.4341, decode.d1.loss_dice: 0.6601, decode.d2.loss_cls: 0.1723, decode.d2.loss_mask: 0.4284, decode.d2.loss_dice: 0.6422, decode.d3.loss_cls: 0.1648, decode.d3.loss_mask: 0.4251, decode.d3.loss_dice: 0.6324, decode.d4.loss_cls: 0.1538, decode.d4.loss_mask: 0.4224, decode.d4.loss_dice: 0.6314, decode.d5.loss_cls: 0.1517, decode.d5.loss_mask: 0.4216, decode.d5.loss_dice: 0.6323, decode.d6.loss_cls: 0.1487, decode.d6.loss_mask: 0.4239, decode.d6.loss_dice: 0.6290, decode.d7.loss_cls: 0.1477, decode.d7.loss_mask: 0.4218, decode.d7.loss_dice: 0.6292, decode.d8.loss_cls: 0.1501, decode.d8.loss_mask: 0.4210, decode.d8.loss_dice: 0.6323, loss: 13.3444, grad_norm: 61.5871 2023-11-22 21:36:35,177 - mmseg - INFO - Iter [149700/160000] lr: 6.132e-07, eta: 1:40:31, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1603, decode.loss_mask: 0.4257, decode.loss_dice: 0.6537, decode.d0.loss_cls: 1.2486, decode.d0.loss_mask: 0.4592, decode.d0.loss_dice: 0.7177, decode.d1.loss_cls: 0.2341, decode.d1.loss_mask: 0.4386, decode.d1.loss_dice: 0.6773, decode.d2.loss_cls: 0.1950, decode.d2.loss_mask: 0.4307, decode.d2.loss_dice: 0.6677, decode.d3.loss_cls: 0.1768, decode.d3.loss_mask: 0.4290, decode.d3.loss_dice: 0.6581, decode.d4.loss_cls: 0.1724, decode.d4.loss_mask: 0.4272, decode.d4.loss_dice: 0.6555, decode.d5.loss_cls: 0.1680, decode.d5.loss_mask: 0.4262, decode.d5.loss_dice: 0.6580, decode.d6.loss_cls: 0.1650, decode.d6.loss_mask: 0.4245, decode.d6.loss_dice: 0.6534, decode.d7.loss_cls: 0.1611, decode.d7.loss_mask: 0.4252, decode.d7.loss_dice: 0.6545, decode.d8.loss_cls: 0.1566, decode.d8.loss_mask: 0.4251, decode.d8.loss_dice: 0.6573, loss: 13.8026, grad_norm: 62.0811 2023-11-22 21:37:03,589 - mmseg - INFO - Iter [149750/160000] lr: 6.102e-07, eta: 1:40:02, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1476, decode.loss_mask: 0.4321, decode.loss_dice: 0.6606, decode.d0.loss_cls: 1.2281, decode.d0.loss_mask: 0.4650, decode.d0.loss_dice: 0.7288, decode.d1.loss_cls: 0.2258, decode.d1.loss_mask: 0.4495, decode.d1.loss_dice: 0.6946, decode.d2.loss_cls: 0.1820, decode.d2.loss_mask: 0.4390, decode.d2.loss_dice: 0.6789, decode.d3.loss_cls: 0.1653, decode.d3.loss_mask: 0.4362, decode.d3.loss_dice: 0.6658, decode.d4.loss_cls: 0.1662, decode.d4.loss_mask: 0.4348, decode.d4.loss_dice: 0.6660, decode.d5.loss_cls: 0.1577, decode.d5.loss_mask: 0.4347, decode.d5.loss_dice: 0.6671, decode.d6.loss_cls: 0.1524, decode.d6.loss_mask: 0.4325, decode.d6.loss_dice: 0.6650, decode.d7.loss_cls: 0.1519, decode.d7.loss_mask: 0.4324, decode.d7.loss_dice: 0.6621, decode.d8.loss_cls: 0.1492, decode.d8.loss_mask: 0.4324, decode.d8.loss_dice: 0.6641, loss: 13.8679, grad_norm: 67.5856 2023-11-22 21:37:31,737 - mmseg - INFO - Iter [149800/160000] lr: 6.073e-07, eta: 1:39:33, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1518, decode.loss_mask: 0.4319, decode.loss_dice: 0.6592, decode.d0.loss_cls: 1.2245, decode.d0.loss_mask: 0.4655, decode.d0.loss_dice: 0.7252, decode.d1.loss_cls: 0.2196, decode.d1.loss_mask: 0.4473, decode.d1.loss_dice: 0.6909, decode.d2.loss_cls: 0.1841, decode.d2.loss_mask: 0.4414, decode.d2.loss_dice: 0.6783, decode.d3.loss_cls: 0.1661, decode.d3.loss_mask: 0.4364, decode.d3.loss_dice: 0.6666, decode.d4.loss_cls: 0.1573, decode.d4.loss_mask: 0.4347, decode.d4.loss_dice: 0.6660, decode.d5.loss_cls: 0.1524, decode.d5.loss_mask: 0.4347, decode.d5.loss_dice: 0.6673, decode.d6.loss_cls: 0.1560, decode.d6.loss_mask: 0.4336, decode.d6.loss_dice: 0.6617, decode.d7.loss_cls: 0.1495, decode.d7.loss_mask: 0.4330, decode.d7.loss_dice: 0.6610, decode.d8.loss_cls: 0.1519, decode.d8.loss_mask: 0.4309, decode.d8.loss_dice: 0.6588, loss: 13.8373, grad_norm: 66.0008 2023-11-22 21:38:00,051 - mmseg - INFO - Iter [149850/160000] lr: 6.043e-07, eta: 1:39:03, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1625, decode.loss_mask: 0.4337, decode.loss_dice: 0.6670, decode.d0.loss_cls: 1.2744, decode.d0.loss_mask: 0.4707, decode.d0.loss_dice: 0.7248, decode.d1.loss_cls: 0.2371, decode.d1.loss_mask: 0.4490, decode.d1.loss_dice: 0.6922, decode.d2.loss_cls: 0.1957, decode.d2.loss_mask: 0.4417, decode.d2.loss_dice: 0.6791, decode.d3.loss_cls: 0.1841, decode.d3.loss_mask: 0.4378, decode.d3.loss_dice: 0.6623, decode.d4.loss_cls: 0.1784, decode.d4.loss_mask: 0.4371, decode.d4.loss_dice: 0.6682, decode.d5.loss_cls: 0.1676, decode.d5.loss_mask: 0.4353, decode.d5.loss_dice: 0.6667, decode.d6.loss_cls: 0.1657, decode.d6.loss_mask: 0.4340, decode.d6.loss_dice: 0.6635, decode.d7.loss_cls: 0.1638, decode.d7.loss_mask: 0.4333, decode.d7.loss_dice: 0.6615, decode.d8.loss_cls: 0.1602, decode.d8.loss_mask: 0.4328, decode.d8.loss_dice: 0.6623, loss: 14.0425, grad_norm: 64.3151 2023-11-22 21:38:28,284 - mmseg - INFO - Iter [149900/160000] lr: 6.013e-07, eta: 1:38:34, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1560, decode.loss_mask: 0.4296, decode.loss_dice: 0.6432, decode.d0.loss_cls: 1.2099, decode.d0.loss_mask: 0.4598, decode.d0.loss_dice: 0.7033, decode.d1.loss_cls: 0.2181, decode.d1.loss_mask: 0.4471, decode.d1.loss_dice: 0.6719, decode.d2.loss_cls: 0.1825, decode.d2.loss_mask: 0.4377, decode.d2.loss_dice: 0.6588, decode.d3.loss_cls: 0.1680, decode.d3.loss_mask: 0.4342, decode.d3.loss_dice: 0.6462, decode.d4.loss_cls: 0.1633, decode.d4.loss_mask: 0.4317, decode.d4.loss_dice: 0.6467, decode.d5.loss_cls: 0.1638, decode.d5.loss_mask: 0.4306, decode.d5.loss_dice: 0.6434, decode.d6.loss_cls: 0.1564, decode.d6.loss_mask: 0.4286, decode.d6.loss_dice: 0.6391, decode.d7.loss_cls: 0.1516, decode.d7.loss_mask: 0.4296, decode.d7.loss_dice: 0.6430, decode.d8.loss_cls: 0.1506, decode.d8.loss_mask: 0.4302, decode.d8.loss_dice: 0.6419, loss: 13.6166, grad_norm: 71.9833 2023-11-22 21:38:56,799 - mmseg - INFO - Iter [149950/160000] lr: 5.983e-07, eta: 1:38:05, time: 0.570, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1547, decode.loss_mask: 0.4384, decode.loss_dice: 0.6440, decode.d0.loss_cls: 1.2061, decode.d0.loss_mask: 0.4686, decode.d0.loss_dice: 0.7128, decode.d1.loss_cls: 0.2205, decode.d1.loss_mask: 0.4526, decode.d1.loss_dice: 0.6733, decode.d2.loss_cls: 0.1855, decode.d2.loss_mask: 0.4447, decode.d2.loss_dice: 0.6577, decode.d3.loss_cls: 0.1701, decode.d3.loss_mask: 0.4414, decode.d3.loss_dice: 0.6512, decode.d4.loss_cls: 0.1634, decode.d4.loss_mask: 0.4405, decode.d4.loss_dice: 0.6481, decode.d5.loss_cls: 0.1614, decode.d5.loss_mask: 0.4383, decode.d5.loss_dice: 0.6454, decode.d6.loss_cls: 0.1568, decode.d6.loss_mask: 0.4373, decode.d6.loss_dice: 0.6463, decode.d7.loss_cls: 0.1579, decode.d7.loss_mask: 0.4378, decode.d7.loss_dice: 0.6417, decode.d8.loss_cls: 0.1571, decode.d8.loss_mask: 0.4378, decode.d8.loss_dice: 0.6426, loss: 13.7343, grad_norm: 66.6941 2023-11-22 21:39:25,343 - mmseg - INFO - Saving checkpoint at 150000 iterations 2023-11-22 21:39:33,238 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 21:39:33,238 - mmseg - INFO - Iter [150000/160000] lr: 5.954e-07, eta: 1:37:36, time: 0.729, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1700, decode.loss_mask: 0.4191, decode.loss_dice: 0.6552, decode.d0.loss_cls: 1.2745, decode.d0.loss_mask: 0.4552, decode.d0.loss_dice: 0.7292, decode.d1.loss_cls: 0.2420, decode.d1.loss_mask: 0.4371, decode.d1.loss_dice: 0.6921, decode.d2.loss_cls: 0.1969, decode.d2.loss_mask: 0.4284, decode.d2.loss_dice: 0.6801, decode.d3.loss_cls: 0.1817, decode.d3.loss_mask: 0.4248, decode.d3.loss_dice: 0.6672, decode.d4.loss_cls: 0.1761, decode.d4.loss_mask: 0.4235, decode.d4.loss_dice: 0.6629, decode.d5.loss_cls: 0.1707, decode.d5.loss_mask: 0.4222, decode.d5.loss_dice: 0.6654, decode.d6.loss_cls: 0.1683, decode.d6.loss_mask: 0.4217, decode.d6.loss_dice: 0.6577, decode.d7.loss_cls: 0.1645, decode.d7.loss_mask: 0.4215, decode.d7.loss_dice: 0.6576, decode.d8.loss_cls: 0.1621, decode.d8.loss_mask: 0.4198, decode.d8.loss_dice: 0.6595, loss: 13.9072, grad_norm: 68.4411 2023-11-22 21:39:52,691 - mmseg - INFO - per class results: 2023-11-22 21:39:52,696 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.33 | 88.68 | | building | 83.85 | 91.65 | | sky | 94.98 | 97.85 | | floor | 83.8 | 90.99 | | tree | 76.01 | 87.81 | | ceiling | 85.93 | 92.52 | | road | 86.67 | 92.18 | | bed | 91.7 | 95.84 | | windowpane | 65.07 | 82.03 | | grass | 70.19 | 80.92 | | cabinet | 63.78 | 74.44 | | sidewalk | 68.77 | 81.06 | | person | 86.29 | 93.78 | | earth | 39.72 | 57.22 | | door | 55.17 | 70.31 | | table | 70.98 | 83.44 | | mountain | 57.9 | 73.63 | | plant | 54.9 | 66.02 | | curtain | 73.39 | 85.83 | | chair | 64.9 | 76.73 | | car | 87.89 | 94.06 | | water | 53.94 | 64.74 | | painting | 77.33 | 90.88 | | sofa | 77.98 | 88.76 | | shelf | 42.27 | 54.33 | | house | 44.46 | 70.44 | | sea | 57.14 | 84.2 | | mirror | 74.81 | 84.4 | | rug | 67.39 | 81.16 | | field | 36.37 | 59.73 | | armchair | 56.05 | 76.25 | | seat | 66.33 | 86.45 | | fence | 55.29 | 70.04 | | desk | 56.58 | 78.83 | | rock | 52.06 | 69.24 | | wardrobe | 45.66 | 72.22 | | lamp | 73.23 | 82.02 | | bathtub | 78.38 | 85.23 | | railing | 38.01 | 54.12 | | cushion | 67.04 | 76.05 | | base | 43.21 | 68.64 | | box | 33.58 | 43.39 | | column | 50.76 | 70.13 | | signboard | 40.63 | 58.49 | | chest of drawers | 40.46 | 67.56 | | counter | 45.78 | 57.18 | | sand | 39.81 | 53.6 | | sink | 81.08 | 85.68 | | skyscraper | 60.99 | 77.13 | | fireplace | 72.16 | 89.0 | | refrigerator | 84.02 | 91.07 | | grandstand | 47.93 | 81.68 | | path | 20.85 | 37.92 | | stairs | 24.79 | 30.03 | | runway | 71.66 | 90.91 | | case | 57.32 | 82.9 | | pool table | 94.36 | 97.82 | | pillow | 65.68 | 77.58 | | screen door | 78.23 | 88.48 | | stairway | 33.49 | 53.08 | | river | 10.41 | 25.13 | | bridge | 78.73 | 90.65 | | bookcase | 30.05 | 49.54 | | blind | 45.1 | 50.96 | | coffee table | 72.25 | 87.15 | | toilet | 91.14 | 93.56 | | flower | 43.46 | 66.17 | | book | 53.12 | 76.93 | | hill | 8.9 | 16.63 | | bench | 64.04 | 72.56 | | countertop | 59.11 | 75.83 | | stove | 87.82 | 90.85 | | palm | 54.58 | 79.64 | | kitchen island | 54.96 | 80.3 | | computer | 73.4 | 81.71 | | swivel chair | 44.42 | 64.25 | | boat | 38.38 | 56.88 | | bar | 62.84 | 69.36 | | arcade machine | 70.89 | 75.21 | | hovel | 69.1 | 76.47 | | bus | 84.85 | 97.26 | | towel | 77.79 | 89.36 | | light | 67.0 | 80.17 | | truck | 24.2 | 28.13 | | tower | 21.08 | 35.41 | | chandelier | 70.59 | 88.87 | | awning | 39.29 | 52.79 | | streetlight | 47.15 | 64.77 | | booth | 52.19 | 68.18 | | television receiver | 75.55 | 88.49 | | airplane | 61.47 | 74.86 | | dirt track | 8.59 | 14.33 | | apparel | 45.19 | 69.52 | | pole | 38.61 | 59.62 | | land | 3.19 | 7.38 | | bannister | 19.53 | 30.51 | | escalator | 52.82 | 67.13 | | ottoman | 58.03 | 76.7 | | bottle | 39.11 | 63.9 | | buffet | 48.55 | 66.04 | | poster | 27.75 | 43.04 | | stage | 22.78 | 48.24 | | van | 45.89 | 68.55 | | ship | 8.74 | 13.96 | | fountain | 21.53 | 21.9 | | conveyer belt | 75.89 | 95.07 | | canopy | 26.39 | 52.92 | | washer | 69.64 | 73.05 | | plaything | 42.66 | 58.25 | | swimming pool | 64.4 | 70.92 | | stool | 53.91 | 77.65 | | barrel | 58.37 | 98.21 | | basket | 44.25 | 56.13 | | waterfall | 76.38 | 85.78 | | tent | 89.11 | 98.32 | | bag | 22.29 | 31.51 | | minibike | 71.19 | 90.75 | | cradle | 90.68 | 97.46 | | oven | 59.03 | 69.0 | | ball | 64.81 | 74.65 | | food | 57.79 | 66.82 | | step | 15.95 | 19.53 | | tank | 63.31 | 66.03 | | trade name | 24.38 | 27.96 | | microwave | 87.19 | 96.47 | | pot | 57.43 | 68.38 | | animal | 58.46 | 59.75 | | bicycle | 62.33 | 80.45 | | lake | 55.89 | 63.55 | | dishwasher | 75.27 | 80.5 | | screen | 60.35 | 91.98 | | blanket | 42.66 | 54.11 | | sculpture | 76.75 | 88.91 | | hood | 73.86 | 78.17 | | sconce | 62.29 | 76.4 | | vase | 57.09 | 73.86 | | traffic light | 48.34 | 71.86 | | tray | 19.55 | 29.15 | | ashcan | 51.64 | 73.95 | | fan | 71.81 | 85.19 | | pier | 16.25 | 17.62 | | crt screen | 3.01 | 9.62 | | plate | 64.97 | 81.31 | | monitor | 9.32 | 12.21 | | bulletin board | 61.57 | 80.48 | | shower | 15.57 | 25.07 | | radiator | 68.56 | 83.99 | | glass | 23.79 | 25.85 | | clock | 56.87 | 68.52 | | flag | 74.57 | 83.52 | +---------------------+-------+-------+ 2023-11-22 21:39:52,696 - mmseg - INFO - Summary: 2023-11-22 21:39:52,696 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.05 | 55.67 | 69.05 | +-------+-------+-------+ 2023-11-22 21:39:52,697 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 21:39:52,698 - mmseg - INFO - Iter(val) [250] aAcc: 0.8505, mIoU: 0.5567, mAcc: 0.6905, IoU.wall: 0.8133, IoU.building: 0.8385, IoU.sky: 0.9498, IoU.floor: 0.8380, IoU.tree: 0.7601, IoU.ceiling: 0.8593, IoU.road: 0.8667, IoU.bed : 0.9170, IoU.windowpane: 0.6507, IoU.grass: 0.7019, IoU.cabinet: 0.6378, IoU.sidewalk: 0.6877, IoU.person: 0.8629, IoU.earth: 0.3972, IoU.door: 0.5517, IoU.table: 0.7098, IoU.mountain: 0.5790, IoU.plant: 0.5490, IoU.curtain: 0.7339, IoU.chair: 0.6490, IoU.car: 0.8789, IoU.water: 0.5394, IoU.painting: 0.7733, IoU.sofa: 0.7798, IoU.shelf: 0.4227, IoU.house: 0.4446, IoU.sea: 0.5714, IoU.mirror: 0.7481, IoU.rug: 0.6739, IoU.field: 0.3637, IoU.armchair: 0.5605, IoU.seat: 0.6633, IoU.fence: 0.5529, IoU.desk: 0.5658, IoU.rock: 0.5206, IoU.wardrobe: 0.4566, IoU.lamp: 0.7323, IoU.bathtub: 0.7838, IoU.railing: 0.3801, IoU.cushion: 0.6704, IoU.base: 0.4321, IoU.box: 0.3358, IoU.column: 0.5076, IoU.signboard: 0.4063, IoU.chest of drawers: 0.4046, IoU.counter: 0.4578, IoU.sand: 0.3981, IoU.sink: 0.8108, IoU.skyscraper: 0.6099, IoU.fireplace: 0.7216, IoU.refrigerator: 0.8402, IoU.grandstand: 0.4793, IoU.path: 0.2085, IoU.stairs: 0.2479, IoU.runway: 0.7166, IoU.case: 0.5732, IoU.pool table: 0.9436, IoU.pillow: 0.6568, IoU.screen door: 0.7823, IoU.stairway: 0.3349, IoU.river: 0.1041, IoU.bridge: 0.7873, IoU.bookcase: 0.3005, IoU.blind: 0.4510, IoU.coffee table: 0.7225, IoU.toilet: 0.9114, IoU.flower: 0.4346, IoU.book: 0.5312, IoU.hill: 0.0890, IoU.bench: 0.6404, IoU.countertop: 0.5911, IoU.stove: 0.8782, IoU.palm: 0.5458, IoU.kitchen island: 0.5496, IoU.computer: 0.7340, IoU.swivel chair: 0.4442, IoU.boat: 0.3838, IoU.bar: 0.6284, IoU.arcade machine: 0.7089, IoU.hovel: 0.6910, IoU.bus: 0.8485, IoU.towel: 0.7779, IoU.light: 0.6700, IoU.truck: 0.2420, IoU.tower: 0.2108, IoU.chandelier: 0.7059, IoU.awning: 0.3929, IoU.streetlight: 0.4715, IoU.booth: 0.5219, IoU.television receiver: 0.7555, IoU.airplane: 0.6147, IoU.dirt track: 0.0859, IoU.apparel: 0.4519, IoU.pole: 0.3861, IoU.land: 0.0319, IoU.bannister: 0.1953, IoU.escalator: 0.5282, IoU.ottoman: 0.5803, IoU.bottle: 0.3911, IoU.buffet: 0.4855, IoU.poster: 0.2775, IoU.stage: 0.2278, IoU.van: 0.4589, IoU.ship: 0.0874, IoU.fountain: 0.2153, IoU.conveyer belt: 0.7589, IoU.canopy: 0.2639, IoU.washer: 0.6964, IoU.plaything: 0.4266, IoU.swimming pool: 0.6440, IoU.stool: 0.5391, IoU.barrel: 0.5837, IoU.basket: 0.4425, IoU.waterfall: 0.7638, IoU.tent: 0.8911, IoU.bag: 0.2229, IoU.minibike: 0.7119, IoU.cradle: 0.9068, IoU.oven: 0.5903, IoU.ball: 0.6481, IoU.food: 0.5779, IoU.step: 0.1595, IoU.tank: 0.6331, IoU.trade name: 0.2438, IoU.microwave: 0.8719, IoU.pot: 0.5743, IoU.animal: 0.5846, IoU.bicycle: 0.6233, IoU.lake: 0.5589, IoU.dishwasher: 0.7527, IoU.screen: 0.6035, IoU.blanket: 0.4266, IoU.sculpture: 0.7675, IoU.hood: 0.7386, IoU.sconce: 0.6229, IoU.vase: 0.5709, IoU.traffic light: 0.4834, IoU.tray: 0.1955, IoU.ashcan: 0.5164, IoU.fan: 0.7181, IoU.pier: 0.1625, IoU.crt screen: 0.0301, IoU.plate: 0.6497, IoU.monitor: 0.0932, IoU.bulletin board: 0.6157, IoU.shower: 0.1557, IoU.radiator: 0.6856, IoU.glass: 0.2379, IoU.clock: 0.5687, IoU.flag: 0.7457, Acc.wall: 0.8868, Acc.building: 0.9165, Acc.sky: 0.9785, Acc.floor: 0.9099, Acc.tree: 0.8781, Acc.ceiling: 0.9252, Acc.road: 0.9218, Acc.bed : 0.9584, Acc.windowpane: 0.8203, Acc.grass: 0.8092, Acc.cabinet: 0.7444, Acc.sidewalk: 0.8106, Acc.person: 0.9378, Acc.earth: 0.5722, Acc.door: 0.7031, Acc.table: 0.8344, Acc.mountain: 0.7363, Acc.plant: 0.6602, Acc.curtain: 0.8583, Acc.chair: 0.7673, Acc.car: 0.9406, Acc.water: 0.6474, Acc.painting: 0.9088, Acc.sofa: 0.8876, Acc.shelf: 0.5433, Acc.house: 0.7044, Acc.sea: 0.8420, Acc.mirror: 0.8440, Acc.rug: 0.8116, Acc.field: 0.5973, Acc.armchair: 0.7625, Acc.seat: 0.8645, Acc.fence: 0.7004, Acc.desk: 0.7883, Acc.rock: 0.6924, Acc.wardrobe: 0.7222, Acc.lamp: 0.8202, Acc.bathtub: 0.8523, Acc.railing: 0.5412, Acc.cushion: 0.7605, Acc.base: 0.6864, Acc.box: 0.4339, Acc.column: 0.7013, Acc.signboard: 0.5849, Acc.chest of drawers: 0.6756, Acc.counter: 0.5718, Acc.sand: 0.5360, Acc.sink: 0.8568, Acc.skyscraper: 0.7713, Acc.fireplace: 0.8900, Acc.refrigerator: 0.9107, Acc.grandstand: 0.8168, Acc.path: 0.3792, Acc.stairs: 0.3003, Acc.runway: 0.9091, Acc.case: 0.8290, Acc.pool table: 0.9782, Acc.pillow: 0.7758, Acc.screen door: 0.8848, Acc.stairway: 0.5308, Acc.river: 0.2513, Acc.bridge: 0.9065, Acc.bookcase: 0.4954, Acc.blind: 0.5096, Acc.coffee table: 0.8715, Acc.toilet: 0.9356, Acc.flower: 0.6617, Acc.book: 0.7693, Acc.hill: 0.1663, Acc.bench: 0.7256, Acc.countertop: 0.7583, Acc.stove: 0.9085, Acc.palm: 0.7964, Acc.kitchen island: 0.8030, Acc.computer: 0.8171, Acc.swivel chair: 0.6425, Acc.boat: 0.5688, Acc.bar: 0.6936, Acc.arcade machine: 0.7521, Acc.hovel: 0.7647, Acc.bus: 0.9726, Acc.towel: 0.8936, Acc.light: 0.8017, Acc.truck: 0.2813, Acc.tower: 0.3541, Acc.chandelier: 0.8887, Acc.awning: 0.5279, Acc.streetlight: 0.6477, Acc.booth: 0.6818, Acc.television receiver: 0.8849, Acc.airplane: 0.7486, Acc.dirt track: 0.1433, Acc.apparel: 0.6952, Acc.pole: 0.5962, Acc.land: 0.0738, Acc.bannister: 0.3051, Acc.escalator: 0.6713, Acc.ottoman: 0.7670, Acc.bottle: 0.6390, Acc.buffet: 0.6604, Acc.poster: 0.4304, Acc.stage: 0.4824, Acc.van: 0.6855, Acc.ship: 0.1396, Acc.fountain: 0.2190, Acc.conveyer belt: 0.9507, Acc.canopy: 0.5292, Acc.washer: 0.7305, Acc.plaything: 0.5825, Acc.swimming pool: 0.7092, Acc.stool: 0.7765, Acc.barrel: 0.9821, Acc.basket: 0.5613, Acc.waterfall: 0.8578, Acc.tent: 0.9832, Acc.bag: 0.3151, Acc.minibike: 0.9075, Acc.cradle: 0.9746, Acc.oven: 0.6900, Acc.ball: 0.7465, Acc.food: 0.6682, Acc.step: 0.1953, Acc.tank: 0.6603, Acc.trade name: 0.2796, Acc.microwave: 0.9647, Acc.pot: 0.6838, Acc.animal: 0.5975, Acc.bicycle: 0.8045, Acc.lake: 0.6355, Acc.dishwasher: 0.8050, Acc.screen: 0.9198, Acc.blanket: 0.5411, Acc.sculpture: 0.8891, Acc.hood: 0.7817, Acc.sconce: 0.7640, Acc.vase: 0.7386, Acc.traffic light: 0.7186, Acc.tray: 0.2915, Acc.ashcan: 0.7395, Acc.fan: 0.8519, Acc.pier: 0.1762, Acc.crt screen: 0.0962, Acc.plate: 0.8131, Acc.monitor: 0.1221, Acc.bulletin board: 0.8048, Acc.shower: 0.2507, Acc.radiator: 0.8399, Acc.glass: 0.2585, Acc.clock: 0.6852, Acc.flag: 0.8352 2023-11-22 21:40:20,850 - mmseg - INFO - Iter [150050/160000] lr: 5.924e-07, eta: 1:37:08, time: 0.952, data_time: 0.402, memory: 38143, decode.loss_cls: 0.1669, decode.loss_mask: 0.4278, decode.loss_dice: 0.6632, decode.d0.loss_cls: 1.2382, decode.d0.loss_mask: 0.4620, decode.d0.loss_dice: 0.7303, decode.d1.loss_cls: 0.2362, decode.d1.loss_mask: 0.4463, decode.d1.loss_dice: 0.6947, decode.d2.loss_cls: 0.1944, decode.d2.loss_mask: 0.4381, decode.d2.loss_dice: 0.6791, decode.d3.loss_cls: 0.1844, decode.d3.loss_mask: 0.4349, decode.d3.loss_dice: 0.6675, decode.d4.loss_cls: 0.1773, decode.d4.loss_mask: 0.4327, decode.d4.loss_dice: 0.6681, decode.d5.loss_cls: 0.1731, decode.d5.loss_mask: 0.4311, decode.d5.loss_dice: 0.6735, decode.d6.loss_cls: 0.1735, decode.d6.loss_mask: 0.4295, decode.d6.loss_dice: 0.6652, decode.d7.loss_cls: 0.1667, decode.d7.loss_mask: 0.4304, decode.d7.loss_dice: 0.6629, decode.d8.loss_cls: 0.1683, decode.d8.loss_mask: 0.4279, decode.d8.loss_dice: 0.6634, loss: 14.0077, grad_norm: 63.7089 2023-11-22 21:40:49,252 - mmseg - INFO - Iter [150100/160000] lr: 5.894e-07, eta: 1:36:38, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1481, decode.loss_mask: 0.4164, decode.loss_dice: 0.6422, decode.d0.loss_cls: 1.2599, decode.d0.loss_mask: 0.4480, decode.d0.loss_dice: 0.7021, decode.d1.loss_cls: 0.2170, decode.d1.loss_mask: 0.4315, decode.d1.loss_dice: 0.6750, decode.d2.loss_cls: 0.1800, decode.d2.loss_mask: 0.4237, decode.d2.loss_dice: 0.6579, decode.d3.loss_cls: 0.1647, decode.d3.loss_mask: 0.4213, decode.d3.loss_dice: 0.6465, decode.d4.loss_cls: 0.1577, decode.d4.loss_mask: 0.4186, decode.d4.loss_dice: 0.6472, decode.d5.loss_cls: 0.1570, decode.d5.loss_mask: 0.4174, decode.d5.loss_dice: 0.6454, decode.d6.loss_cls: 0.1497, decode.d6.loss_mask: 0.4179, decode.d6.loss_dice: 0.6440, decode.d7.loss_cls: 0.1507, decode.d7.loss_mask: 0.4171, decode.d7.loss_dice: 0.6429, decode.d8.loss_cls: 0.1453, decode.d8.loss_mask: 0.4176, decode.d8.loss_dice: 0.6430, loss: 13.5054, grad_norm: 62.3647 2023-11-22 21:41:17,501 - mmseg - INFO - Iter [150150/160000] lr: 5.864e-07, eta: 1:36:09, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1523, decode.loss_mask: 0.4264, decode.loss_dice: 0.6391, decode.d0.loss_cls: 1.2232, decode.d0.loss_mask: 0.4577, decode.d0.loss_dice: 0.7020, decode.d1.loss_cls: 0.2126, decode.d1.loss_mask: 0.4424, decode.d1.loss_dice: 0.6710, decode.d2.loss_cls: 0.1824, decode.d2.loss_mask: 0.4360, decode.d2.loss_dice: 0.6567, decode.d3.loss_cls: 0.1635, decode.d3.loss_mask: 0.4315, decode.d3.loss_dice: 0.6472, decode.d4.loss_cls: 0.1606, decode.d4.loss_mask: 0.4290, decode.d4.loss_dice: 0.6440, decode.d5.loss_cls: 0.1517, decode.d5.loss_mask: 0.4287, decode.d5.loss_dice: 0.6464, decode.d6.loss_cls: 0.1539, decode.d6.loss_mask: 0.4270, decode.d6.loss_dice: 0.6429, decode.d7.loss_cls: 0.1542, decode.d7.loss_mask: 0.4275, decode.d7.loss_dice: 0.6412, decode.d8.loss_cls: 0.1501, decode.d8.loss_mask: 0.4262, decode.d8.loss_dice: 0.6389, loss: 13.5666, grad_norm: 63.4477 2023-11-22 21:41:45,894 - mmseg - INFO - Iter [150200/160000] lr: 5.835e-07, eta: 1:35:40, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1579, decode.loss_mask: 0.4365, decode.loss_dice: 0.6552, decode.d0.loss_cls: 1.2342, decode.d0.loss_mask: 0.4748, decode.d0.loss_dice: 0.7165, decode.d1.loss_cls: 0.2285, decode.d1.loss_mask: 0.4522, decode.d1.loss_dice: 0.6841, decode.d2.loss_cls: 0.1846, decode.d2.loss_mask: 0.4442, decode.d2.loss_dice: 0.6732, decode.d3.loss_cls: 0.1740, decode.d3.loss_mask: 0.4413, decode.d3.loss_dice: 0.6608, decode.d4.loss_cls: 0.1681, decode.d4.loss_mask: 0.4402, decode.d4.loss_dice: 0.6585, decode.d5.loss_cls: 0.1685, decode.d5.loss_mask: 0.4399, decode.d5.loss_dice: 0.6563, decode.d6.loss_cls: 0.1633, decode.d6.loss_mask: 0.4397, decode.d6.loss_dice: 0.6546, decode.d7.loss_cls: 0.1620, decode.d7.loss_mask: 0.4381, decode.d7.loss_dice: 0.6541, decode.d8.loss_cls: 0.1624, decode.d8.loss_mask: 0.4372, decode.d8.loss_dice: 0.6548, loss: 13.9155, grad_norm: 64.2028 2023-11-22 21:42:14,364 - mmseg - INFO - Iter [150250/160000] lr: 5.805e-07, eta: 1:35:10, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1539, decode.loss_mask: 0.4154, decode.loss_dice: 0.6349, decode.d0.loss_cls: 1.2499, decode.d0.loss_mask: 0.4556, decode.d0.loss_dice: 0.7111, decode.d1.loss_cls: 0.2416, decode.d1.loss_mask: 0.4290, decode.d1.loss_dice: 0.6674, decode.d2.loss_cls: 0.1898, decode.d2.loss_mask: 0.4234, decode.d2.loss_dice: 0.6545, decode.d3.loss_cls: 0.1734, decode.d3.loss_mask: 0.4202, decode.d3.loss_dice: 0.6476, decode.d4.loss_cls: 0.1683, decode.d4.loss_mask: 0.4189, decode.d4.loss_dice: 0.6431, decode.d5.loss_cls: 0.1635, decode.d5.loss_mask: 0.4164, decode.d5.loss_dice: 0.6444, decode.d6.loss_cls: 0.1552, decode.d6.loss_mask: 0.4169, decode.d6.loss_dice: 0.6434, decode.d7.loss_cls: 0.1546, decode.d7.loss_mask: 0.4163, decode.d7.loss_dice: 0.6377, decode.d8.loss_cls: 0.1511, decode.d8.loss_mask: 0.4154, decode.d8.loss_dice: 0.6387, loss: 13.5518, grad_norm: 62.6327 2023-11-22 21:42:44,929 - mmseg - INFO - Iter [150300/160000] lr: 5.775e-07, eta: 1:34:41, time: 0.613, data_time: 0.060, memory: 38143, decode.loss_cls: 0.1495, decode.loss_mask: 0.4228, decode.loss_dice: 0.6487, decode.d0.loss_cls: 1.2458, decode.d0.loss_mask: 0.4529, decode.d0.loss_dice: 0.7169, decode.d1.loss_cls: 0.2329, decode.d1.loss_mask: 0.4354, decode.d1.loss_dice: 0.6848, decode.d2.loss_cls: 0.1856, decode.d2.loss_mask: 0.4297, decode.d2.loss_dice: 0.6657, decode.d3.loss_cls: 0.1672, decode.d3.loss_mask: 0.4256, decode.d3.loss_dice: 0.6598, decode.d4.loss_cls: 0.1661, decode.d4.loss_mask: 0.4252, decode.d4.loss_dice: 0.6571, decode.d5.loss_cls: 0.1577, decode.d5.loss_mask: 0.4242, decode.d5.loss_dice: 0.6519, decode.d6.loss_cls: 0.1532, decode.d6.loss_mask: 0.4232, decode.d6.loss_dice: 0.6512, decode.d7.loss_cls: 0.1543, decode.d7.loss_mask: 0.4231, decode.d7.loss_dice: 0.6482, decode.d8.loss_cls: 0.1512, decode.d8.loss_mask: 0.4222, decode.d8.loss_dice: 0.6491, loss: 13.6812, grad_norm: 65.4137 2023-11-22 21:43:13,244 - mmseg - INFO - Iter [150350/160000] lr: 5.745e-07, eta: 1:34:12, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1472, decode.loss_mask: 0.4316, decode.loss_dice: 0.6440, decode.d0.loss_cls: 1.2550, decode.d0.loss_mask: 0.4667, decode.d0.loss_dice: 0.7062, decode.d1.loss_cls: 0.2202, decode.d1.loss_mask: 0.4468, decode.d1.loss_dice: 0.6733, decode.d2.loss_cls: 0.1787, decode.d2.loss_mask: 0.4405, decode.d2.loss_dice: 0.6613, decode.d3.loss_cls: 0.1706, decode.d3.loss_mask: 0.4353, decode.d3.loss_dice: 0.6469, decode.d4.loss_cls: 0.1627, decode.d4.loss_mask: 0.4333, decode.d4.loss_dice: 0.6472, decode.d5.loss_cls: 0.1558, decode.d5.loss_mask: 0.4328, decode.d5.loss_dice: 0.6424, decode.d6.loss_cls: 0.1505, decode.d6.loss_mask: 0.4320, decode.d6.loss_dice: 0.6399, decode.d7.loss_cls: 0.1520, decode.d7.loss_mask: 0.4312, decode.d7.loss_dice: 0.6405, decode.d8.loss_cls: 0.1495, decode.d8.loss_mask: 0.4318, decode.d8.loss_dice: 0.6426, loss: 13.6681, grad_norm: 67.2264 2023-11-22 21:43:41,602 - mmseg - INFO - Iter [150400/160000] lr: 5.716e-07, eta: 1:33:42, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1577, decode.loss_mask: 0.4169, decode.loss_dice: 0.6508, decode.d0.loss_cls: 1.2380, decode.d0.loss_mask: 0.4522, decode.d0.loss_dice: 0.7294, decode.d1.loss_cls: 0.2256, decode.d1.loss_mask: 0.4330, decode.d1.loss_dice: 0.6852, decode.d2.loss_cls: 0.1881, decode.d2.loss_mask: 0.4226, decode.d2.loss_dice: 0.6645, decode.d3.loss_cls: 0.1764, decode.d3.loss_mask: 0.4213, decode.d3.loss_dice: 0.6549, decode.d4.loss_cls: 0.1691, decode.d4.loss_mask: 0.4186, decode.d4.loss_dice: 0.6566, decode.d5.loss_cls: 0.1655, decode.d5.loss_mask: 0.4184, decode.d5.loss_dice: 0.6542, decode.d6.loss_cls: 0.1686, decode.d6.loss_mask: 0.4181, decode.d6.loss_dice: 0.6514, decode.d7.loss_cls: 0.1621, decode.d7.loss_mask: 0.4178, decode.d7.loss_dice: 0.6496, decode.d8.loss_cls: 0.1566, decode.d8.loss_mask: 0.4173, decode.d8.loss_dice: 0.6490, loss: 13.6895, grad_norm: 69.1692 2023-11-22 21:44:10,099 - mmseg - INFO - Iter [150450/160000] lr: 5.686e-07, eta: 1:33:13, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1529, decode.loss_mask: 0.3991, decode.loss_dice: 0.6439, decode.d0.loss_cls: 1.2703, decode.d0.loss_mask: 0.4338, decode.d0.loss_dice: 0.7153, decode.d1.loss_cls: 0.2223, decode.d1.loss_mask: 0.4154, decode.d1.loss_dice: 0.6752, decode.d2.loss_cls: 0.1857, decode.d2.loss_mask: 0.4078, decode.d2.loss_dice: 0.6557, decode.d3.loss_cls: 0.1667, decode.d3.loss_mask: 0.4039, decode.d3.loss_dice: 0.6471, decode.d4.loss_cls: 0.1661, decode.d4.loss_mask: 0.4019, decode.d4.loss_dice: 0.6459, decode.d5.loss_cls: 0.1633, decode.d5.loss_mask: 0.4009, decode.d5.loss_dice: 0.6476, decode.d6.loss_cls: 0.1565, decode.d6.loss_mask: 0.4001, decode.d6.loss_dice: 0.6415, decode.d7.loss_cls: 0.1544, decode.d7.loss_mask: 0.3990, decode.d7.loss_dice: 0.6410, decode.d8.loss_cls: 0.1517, decode.d8.loss_mask: 0.3993, decode.d8.loss_dice: 0.6445, loss: 13.4086, grad_norm: 63.2486 2023-11-22 21:44:38,667 - mmseg - INFO - Iter [150500/160000] lr: 5.656e-07, eta: 1:32:44, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1492, decode.loss_mask: 0.4332, decode.loss_dice: 0.6617, decode.d0.loss_cls: 1.2290, decode.d0.loss_mask: 0.4633, decode.d0.loss_dice: 0.7343, decode.d1.loss_cls: 0.2353, decode.d1.loss_mask: 0.4478, decode.d1.loss_dice: 0.6958, decode.d2.loss_cls: 0.1885, decode.d2.loss_mask: 0.4397, decode.d2.loss_dice: 0.6835, decode.d3.loss_cls: 0.1706, decode.d3.loss_mask: 0.4371, decode.d3.loss_dice: 0.6731, decode.d4.loss_cls: 0.1644, decode.d4.loss_mask: 0.4355, decode.d4.loss_dice: 0.6681, decode.d5.loss_cls: 0.1582, decode.d5.loss_mask: 0.4345, decode.d5.loss_dice: 0.6687, decode.d6.loss_cls: 0.1576, decode.d6.loss_mask: 0.4340, decode.d6.loss_dice: 0.6638, decode.d7.loss_cls: 0.1533, decode.d7.loss_mask: 0.4329, decode.d7.loss_dice: 0.6609, decode.d8.loss_cls: 0.1514, decode.d8.loss_mask: 0.4335, decode.d8.loss_dice: 0.6605, loss: 13.9196, grad_norm: 63.2186 2023-11-22 21:45:07,101 - mmseg - INFO - Iter [150550/160000] lr: 5.626e-07, eta: 1:32:14, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1512, decode.loss_mask: 0.4464, decode.loss_dice: 0.6496, decode.d0.loss_cls: 1.2374, decode.d0.loss_mask: 0.4843, decode.d0.loss_dice: 0.7175, decode.d1.loss_cls: 0.2259, decode.d1.loss_mask: 0.4666, decode.d1.loss_dice: 0.6873, decode.d2.loss_cls: 0.1839, decode.d2.loss_mask: 0.4567, decode.d2.loss_dice: 0.6659, decode.d3.loss_cls: 0.1693, decode.d3.loss_mask: 0.4518, decode.d3.loss_dice: 0.6553, decode.d4.loss_cls: 0.1609, decode.d4.loss_mask: 0.4506, decode.d4.loss_dice: 0.6556, decode.d5.loss_cls: 0.1576, decode.d5.loss_mask: 0.4488, decode.d5.loss_dice: 0.6519, decode.d6.loss_cls: 0.1559, decode.d6.loss_mask: 0.4486, decode.d6.loss_dice: 0.6528, decode.d7.loss_cls: 0.1527, decode.d7.loss_mask: 0.4475, decode.d7.loss_dice: 0.6508, decode.d8.loss_cls: 0.1540, decode.d8.loss_mask: 0.4463, decode.d8.loss_dice: 0.6509, loss: 13.9341, grad_norm: 71.1254 2023-11-22 21:45:35,552 - mmseg - INFO - Iter [150600/160000] lr: 5.596e-07, eta: 1:31:45, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1512, decode.loss_mask: 0.4147, decode.loss_dice: 0.6638, decode.d0.loss_cls: 1.2681, decode.d0.loss_mask: 0.4514, decode.d0.loss_dice: 0.7385, decode.d1.loss_cls: 0.2349, decode.d1.loss_mask: 0.4316, decode.d1.loss_dice: 0.7007, decode.d2.loss_cls: 0.1868, decode.d2.loss_mask: 0.4233, decode.d2.loss_dice: 0.6808, decode.d3.loss_cls: 0.1748, decode.d3.loss_mask: 0.4194, decode.d3.loss_dice: 0.6689, decode.d4.loss_cls: 0.1680, decode.d4.loss_mask: 0.4181, decode.d4.loss_dice: 0.6678, decode.d5.loss_cls: 0.1603, decode.d5.loss_mask: 0.4177, decode.d5.loss_dice: 0.6679, decode.d6.loss_cls: 0.1555, decode.d6.loss_mask: 0.4161, decode.d6.loss_dice: 0.6632, decode.d7.loss_cls: 0.1526, decode.d7.loss_mask: 0.4155, decode.d7.loss_dice: 0.6654, decode.d8.loss_cls: 0.1518, decode.d8.loss_mask: 0.4159, decode.d8.loss_dice: 0.6647, loss: 13.8094, grad_norm: 59.3623 2023-11-22 21:46:03,931 - mmseg - INFO - Iter [150650/160000] lr: 5.567e-07, eta: 1:31:16, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1549, decode.loss_mask: 0.4324, decode.loss_dice: 0.6502, decode.d0.loss_cls: 1.2363, decode.d0.loss_mask: 0.4658, decode.d0.loss_dice: 0.7126, decode.d1.loss_cls: 0.2245, decode.d1.loss_mask: 0.4461, decode.d1.loss_dice: 0.6808, decode.d2.loss_cls: 0.1893, decode.d2.loss_mask: 0.4417, decode.d2.loss_dice: 0.6668, decode.d3.loss_cls: 0.1764, decode.d3.loss_mask: 0.4352, decode.d3.loss_dice: 0.6548, decode.d4.loss_cls: 0.1644, decode.d4.loss_mask: 0.4347, decode.d4.loss_dice: 0.6534, decode.d5.loss_cls: 0.1651, decode.d5.loss_mask: 0.4346, decode.d5.loss_dice: 0.6526, decode.d6.loss_cls: 0.1574, decode.d6.loss_mask: 0.4323, decode.d6.loss_dice: 0.6508, decode.d7.loss_cls: 0.1568, decode.d7.loss_mask: 0.4328, decode.d7.loss_dice: 0.6517, decode.d8.loss_cls: 0.1556, decode.d8.loss_mask: 0.4311, decode.d8.loss_dice: 0.6538, loss: 13.7950, grad_norm: 65.1958 2023-11-22 21:46:32,202 - mmseg - INFO - Iter [150700/160000] lr: 5.537e-07, eta: 1:30:46, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1634, decode.loss_mask: 0.4174, decode.loss_dice: 0.6424, decode.d0.loss_cls: 1.2544, decode.d0.loss_mask: 0.4524, decode.d0.loss_dice: 0.7056, decode.d1.loss_cls: 0.2432, decode.d1.loss_mask: 0.4310, decode.d1.loss_dice: 0.6742, decode.d2.loss_cls: 0.1963, decode.d2.loss_mask: 0.4248, decode.d2.loss_dice: 0.6546, decode.d3.loss_cls: 0.1815, decode.d3.loss_mask: 0.4187, decode.d3.loss_dice: 0.6448, decode.d4.loss_cls: 0.1757, decode.d4.loss_mask: 0.4181, decode.d4.loss_dice: 0.6457, decode.d5.loss_cls: 0.1753, decode.d5.loss_mask: 0.4191, decode.d5.loss_dice: 0.6423, decode.d6.loss_cls: 0.1643, decode.d6.loss_mask: 0.4199, decode.d6.loss_dice: 0.6430, decode.d7.loss_cls: 0.1641, decode.d7.loss_mask: 0.4178, decode.d7.loss_dice: 0.6399, decode.d8.loss_cls: 0.1645, decode.d8.loss_mask: 0.4169, decode.d8.loss_dice: 0.6412, loss: 13.6522, grad_norm: 66.5905 2023-11-22 21:47:00,631 - mmseg - INFO - Iter [150750/160000] lr: 5.507e-07, eta: 1:30:17, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1556, decode.loss_mask: 0.4087, decode.loss_dice: 0.6267, decode.d0.loss_cls: 1.2210, decode.d0.loss_mask: 0.4417, decode.d0.loss_dice: 0.6932, decode.d1.loss_cls: 0.2306, decode.d1.loss_mask: 0.4196, decode.d1.loss_dice: 0.6552, decode.d2.loss_cls: 0.1880, decode.d2.loss_mask: 0.4134, decode.d2.loss_dice: 0.6374, decode.d3.loss_cls: 0.1746, decode.d3.loss_mask: 0.4103, decode.d3.loss_dice: 0.6311, decode.d4.loss_cls: 0.1669, decode.d4.loss_mask: 0.4090, decode.d4.loss_dice: 0.6290, decode.d5.loss_cls: 0.1617, decode.d5.loss_mask: 0.4093, decode.d5.loss_dice: 0.6285, decode.d6.loss_cls: 0.1593, decode.d6.loss_mask: 0.4102, decode.d6.loss_dice: 0.6283, decode.d7.loss_cls: 0.1573, decode.d7.loss_mask: 0.4093, decode.d7.loss_dice: 0.6279, decode.d8.loss_cls: 0.1558, decode.d8.loss_mask: 0.4083, decode.d8.loss_dice: 0.6252, loss: 13.2933, grad_norm: 59.3831 2023-11-22 21:47:29,236 - mmseg - INFO - Iter [150800/160000] lr: 5.477e-07, eta: 1:29:48, time: 0.572, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1525, decode.loss_mask: 0.4359, decode.loss_dice: 0.6474, decode.d0.loss_cls: 1.1964, decode.d0.loss_mask: 0.4716, decode.d0.loss_dice: 0.7188, decode.d1.loss_cls: 0.2274, decode.d1.loss_mask: 0.4511, decode.d1.loss_dice: 0.6794, decode.d2.loss_cls: 0.1844, decode.d2.loss_mask: 0.4451, decode.d2.loss_dice: 0.6652, decode.d3.loss_cls: 0.1702, decode.d3.loss_mask: 0.4416, decode.d3.loss_dice: 0.6564, decode.d4.loss_cls: 0.1673, decode.d4.loss_mask: 0.4413, decode.d4.loss_dice: 0.6540, decode.d5.loss_cls: 0.1571, decode.d5.loss_mask: 0.4406, decode.d5.loss_dice: 0.6539, decode.d6.loss_cls: 0.1571, decode.d6.loss_mask: 0.4379, decode.d6.loss_dice: 0.6477, decode.d7.loss_cls: 0.1545, decode.d7.loss_mask: 0.4375, decode.d7.loss_dice: 0.6470, decode.d8.loss_cls: 0.1520, decode.d8.loss_mask: 0.4368, decode.d8.loss_dice: 0.6503, loss: 13.7783, grad_norm: 67.3714 2023-11-22 21:47:57,802 - mmseg - INFO - Iter [150850/160000] lr: 5.448e-07, eta: 1:29:18, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1586, decode.loss_mask: 0.4258, decode.loss_dice: 0.6601, decode.d0.loss_cls: 1.2363, decode.d0.loss_mask: 0.4553, decode.d0.loss_dice: 0.7241, decode.d1.loss_cls: 0.2324, decode.d1.loss_mask: 0.4415, decode.d1.loss_dice: 0.6873, decode.d2.loss_cls: 0.1887, decode.d2.loss_mask: 0.4327, decode.d2.loss_dice: 0.6755, decode.d3.loss_cls: 0.1773, decode.d3.loss_mask: 0.4283, decode.d3.loss_dice: 0.6639, decode.d4.loss_cls: 0.1708, decode.d4.loss_mask: 0.4279, decode.d4.loss_dice: 0.6639, decode.d5.loss_cls: 0.1674, decode.d5.loss_mask: 0.4260, decode.d5.loss_dice: 0.6594, decode.d6.loss_cls: 0.1623, decode.d6.loss_mask: 0.4267, decode.d6.loss_dice: 0.6615, decode.d7.loss_cls: 0.1636, decode.d7.loss_mask: 0.4268, decode.d7.loss_dice: 0.6558, decode.d8.loss_cls: 0.1600, decode.d8.loss_mask: 0.4261, decode.d8.loss_dice: 0.6584, loss: 13.8443, grad_norm: 66.9529 2023-11-22 21:48:26,264 - mmseg - INFO - Iter [150900/160000] lr: 5.418e-07, eta: 1:28:49, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1503, decode.loss_mask: 0.4191, decode.loss_dice: 0.6339, decode.d0.loss_cls: 1.2341, decode.d0.loss_mask: 0.4535, decode.d0.loss_dice: 0.7051, decode.d1.loss_cls: 0.2241, decode.d1.loss_mask: 0.4363, decode.d1.loss_dice: 0.6654, decode.d2.loss_cls: 0.1859, decode.d2.loss_mask: 0.4299, decode.d2.loss_dice: 0.6527, decode.d3.loss_cls: 0.1715, decode.d3.loss_mask: 0.4218, decode.d3.loss_dice: 0.6371, decode.d4.loss_cls: 0.1615, decode.d4.loss_mask: 0.4221, decode.d4.loss_dice: 0.6369, decode.d5.loss_cls: 0.1616, decode.d5.loss_mask: 0.4220, decode.d5.loss_dice: 0.6368, decode.d6.loss_cls: 0.1558, decode.d6.loss_mask: 0.4209, decode.d6.loss_dice: 0.6376, decode.d7.loss_cls: 0.1502, decode.d7.loss_mask: 0.4207, decode.d7.loss_dice: 0.6357, decode.d8.loss_cls: 0.1517, decode.d8.loss_mask: 0.4195, decode.d8.loss_dice: 0.6366, loss: 13.4902, grad_norm: 61.7492 2023-11-22 21:48:54,337 - mmseg - INFO - Iter [150950/160000] lr: 5.388e-07, eta: 1:28:20, time: 0.561, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1348, decode.loss_mask: 0.4305, decode.loss_dice: 0.6550, decode.d0.loss_cls: 1.2157, decode.d0.loss_mask: 0.4657, decode.d0.loss_dice: 0.7222, decode.d1.loss_cls: 0.2232, decode.d1.loss_mask: 0.4465, decode.d1.loss_dice: 0.6902, decode.d2.loss_cls: 0.1740, decode.d2.loss_mask: 0.4382, decode.d2.loss_dice: 0.6761, decode.d3.loss_cls: 0.1535, decode.d3.loss_mask: 0.4352, decode.d3.loss_dice: 0.6633, decode.d4.loss_cls: 0.1471, decode.d4.loss_mask: 0.4344, decode.d4.loss_dice: 0.6588, decode.d5.loss_cls: 0.1439, decode.d5.loss_mask: 0.4330, decode.d5.loss_dice: 0.6595, decode.d6.loss_cls: 0.1425, decode.d6.loss_mask: 0.4310, decode.d6.loss_dice: 0.6581, decode.d7.loss_cls: 0.1406, decode.d7.loss_mask: 0.4305, decode.d7.loss_dice: 0.6573, decode.d8.loss_cls: 0.1365, decode.d8.loss_mask: 0.4319, decode.d8.loss_dice: 0.6576, loss: 13.6868, grad_norm: 69.6430 2023-11-22 21:49:22,567 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 21:49:22,567 - mmseg - INFO - Iter [151000/160000] lr: 5.358e-07, eta: 1:27:50, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1464, decode.loss_mask: 0.4304, decode.loss_dice: 0.6524, decode.d0.loss_cls: 1.2419, decode.d0.loss_mask: 0.4624, decode.d0.loss_dice: 0.7167, decode.d1.loss_cls: 0.2207, decode.d1.loss_mask: 0.4475, decode.d1.loss_dice: 0.6811, decode.d2.loss_cls: 0.1767, decode.d2.loss_mask: 0.4392, decode.d2.loss_dice: 0.6702, decode.d3.loss_cls: 0.1632, decode.d3.loss_mask: 0.4343, decode.d3.loss_dice: 0.6572, decode.d4.loss_cls: 0.1585, decode.d4.loss_mask: 0.4328, decode.d4.loss_dice: 0.6557, decode.d5.loss_cls: 0.1532, decode.d5.loss_mask: 0.4334, decode.d5.loss_dice: 0.6598, decode.d6.loss_cls: 0.1530, decode.d6.loss_mask: 0.4311, decode.d6.loss_dice: 0.6536, decode.d7.loss_cls: 0.1471, decode.d7.loss_mask: 0.4313, decode.d7.loss_dice: 0.6505, decode.d8.loss_cls: 0.1483, decode.d8.loss_mask: 0.4304, decode.d8.loss_dice: 0.6504, loss: 13.7294, grad_norm: 63.1641 2023-11-22 21:49:50,999 - mmseg - INFO - Iter [151050/160000] lr: 5.329e-07, eta: 1:27:21, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1634, decode.loss_mask: 0.4249, decode.loss_dice: 0.6619, decode.d0.loss_cls: 1.2524, decode.d0.loss_mask: 0.4583, decode.d0.loss_dice: 0.7354, decode.d1.loss_cls: 0.2418, decode.d1.loss_mask: 0.4401, decode.d1.loss_dice: 0.6945, decode.d2.loss_cls: 0.2044, decode.d2.loss_mask: 0.4313, decode.d2.loss_dice: 0.6815, decode.d3.loss_cls: 0.1848, decode.d3.loss_mask: 0.4291, decode.d3.loss_dice: 0.6709, decode.d4.loss_cls: 0.1826, decode.d4.loss_mask: 0.4288, decode.d4.loss_dice: 0.6667, decode.d5.loss_cls: 0.1748, decode.d5.loss_mask: 0.4266, decode.d5.loss_dice: 0.6649, decode.d6.loss_cls: 0.1712, decode.d6.loss_mask: 0.4263, decode.d6.loss_dice: 0.6623, decode.d7.loss_cls: 0.1734, decode.d7.loss_mask: 0.4263, decode.d7.loss_dice: 0.6656, decode.d8.loss_cls: 0.1666, decode.d8.loss_mask: 0.4243, decode.d8.loss_dice: 0.6644, loss: 13.9998, grad_norm: 65.0752 2023-11-22 21:50:19,417 - mmseg - INFO - Iter [151100/160000] lr: 5.299e-07, eta: 1:26:52, time: 0.568, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1564, decode.loss_mask: 0.4154, decode.loss_dice: 0.6518, decode.d0.loss_cls: 1.2460, decode.d0.loss_mask: 0.4479, decode.d0.loss_dice: 0.7190, decode.d1.loss_cls: 0.2309, decode.d1.loss_mask: 0.4322, decode.d1.loss_dice: 0.6809, decode.d2.loss_cls: 0.1927, decode.d2.loss_mask: 0.4218, decode.d2.loss_dice: 0.6661, decode.d3.loss_cls: 0.1731, decode.d3.loss_mask: 0.4191, decode.d3.loss_dice: 0.6565, decode.d4.loss_cls: 0.1702, decode.d4.loss_mask: 0.4165, decode.d4.loss_dice: 0.6483, decode.d5.loss_cls: 0.1655, decode.d5.loss_mask: 0.4168, decode.d5.loss_dice: 0.6521, decode.d6.loss_cls: 0.1631, decode.d6.loss_mask: 0.4154, decode.d6.loss_dice: 0.6499, decode.d7.loss_cls: 0.1603, decode.d7.loss_mask: 0.4154, decode.d7.loss_dice: 0.6490, decode.d8.loss_cls: 0.1532, decode.d8.loss_mask: 0.4170, decode.d8.loss_dice: 0.6511, loss: 13.6535, grad_norm: 67.2935 2023-11-22 21:50:47,768 - mmseg - INFO - Iter [151150/160000] lr: 5.269e-07, eta: 1:26:22, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1612, decode.loss_mask: 0.4380, decode.loss_dice: 0.6434, decode.d0.loss_cls: 1.2338, decode.d0.loss_mask: 0.4694, decode.d0.loss_dice: 0.7142, decode.d1.loss_cls: 0.2341, decode.d1.loss_mask: 0.4567, decode.d1.loss_dice: 0.6762, decode.d2.loss_cls: 0.1919, decode.d2.loss_mask: 0.4482, decode.d2.loss_dice: 0.6657, decode.d3.loss_cls: 0.1823, decode.d3.loss_mask: 0.4425, decode.d3.loss_dice: 0.6509, decode.d4.loss_cls: 0.1738, decode.d4.loss_mask: 0.4417, decode.d4.loss_dice: 0.6555, decode.d5.loss_cls: 0.1688, decode.d5.loss_mask: 0.4409, decode.d5.loss_dice: 0.6502, decode.d6.loss_cls: 0.1668, decode.d6.loss_mask: 0.4399, decode.d6.loss_dice: 0.6453, decode.d7.loss_cls: 0.1671, decode.d7.loss_mask: 0.4375, decode.d7.loss_dice: 0.6461, decode.d8.loss_cls: 0.1639, decode.d8.loss_mask: 0.4367, decode.d8.loss_dice: 0.6474, loss: 13.8899, grad_norm: 69.1206 2023-11-22 21:51:16,132 - mmseg - INFO - Iter [151200/160000] lr: 5.239e-07, eta: 1:25:53, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1657, decode.loss_mask: 0.4173, decode.loss_dice: 0.6409, decode.d0.loss_cls: 1.2765, decode.d0.loss_mask: 0.4524, decode.d0.loss_dice: 0.7208, decode.d1.loss_cls: 0.2462, decode.d1.loss_mask: 0.4309, decode.d1.loss_dice: 0.6719, decode.d2.loss_cls: 0.2052, decode.d2.loss_mask: 0.4208, decode.d2.loss_dice: 0.6563, decode.d3.loss_cls: 0.1888, decode.d3.loss_mask: 0.4193, decode.d3.loss_dice: 0.6491, decode.d4.loss_cls: 0.1802, decode.d4.loss_mask: 0.4207, decode.d4.loss_dice: 0.6508, decode.d5.loss_cls: 0.1762, decode.d5.loss_mask: 0.4196, decode.d5.loss_dice: 0.6451, decode.d6.loss_cls: 0.1742, decode.d6.loss_mask: 0.4174, decode.d6.loss_dice: 0.6437, decode.d7.loss_cls: 0.1691, decode.d7.loss_mask: 0.4174, decode.d7.loss_dice: 0.6439, decode.d8.loss_cls: 0.1663, decode.d8.loss_mask: 0.4174, decode.d8.loss_dice: 0.6413, loss: 13.7454, grad_norm: 66.8965 2023-11-22 21:51:44,345 - mmseg - INFO - Iter [151250/160000] lr: 5.210e-07, eta: 1:25:24, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1446, decode.loss_mask: 0.4157, decode.loss_dice: 0.6482, decode.d0.loss_cls: 1.2334, decode.d0.loss_mask: 0.4519, decode.d0.loss_dice: 0.7219, decode.d1.loss_cls: 0.2213, decode.d1.loss_mask: 0.4295, decode.d1.loss_dice: 0.6802, decode.d2.loss_cls: 0.1811, decode.d2.loss_mask: 0.4232, decode.d2.loss_dice: 0.6681, decode.d3.loss_cls: 0.1656, decode.d3.loss_mask: 0.4195, decode.d3.loss_dice: 0.6560, decode.d4.loss_cls: 0.1602, decode.d4.loss_mask: 0.4187, decode.d4.loss_dice: 0.6569, decode.d5.loss_cls: 0.1559, decode.d5.loss_mask: 0.4181, decode.d5.loss_dice: 0.6520, decode.d6.loss_cls: 0.1555, decode.d6.loss_mask: 0.4169, decode.d6.loss_dice: 0.6476, decode.d7.loss_cls: 0.1488, decode.d7.loss_mask: 0.4163, decode.d7.loss_dice: 0.6493, decode.d8.loss_cls: 0.1452, decode.d8.loss_mask: 0.4165, decode.d8.loss_dice: 0.6502, loss: 13.5683, grad_norm: 65.8830 2023-11-22 21:52:12,632 - mmseg - INFO - Iter [151300/160000] lr: 5.180e-07, eta: 1:24:54, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1390, decode.loss_mask: 0.4331, decode.loss_dice: 0.6574, decode.d0.loss_cls: 1.2246, decode.d0.loss_mask: 0.4645, decode.d0.loss_dice: 0.7222, decode.d1.loss_cls: 0.2148, decode.d1.loss_mask: 0.4479, decode.d1.loss_dice: 0.6901, decode.d2.loss_cls: 0.1759, decode.d2.loss_mask: 0.4363, decode.d2.loss_dice: 0.6754, decode.d3.loss_cls: 0.1618, decode.d3.loss_mask: 0.4345, decode.d3.loss_dice: 0.6588, decode.d4.loss_cls: 0.1536, decode.d4.loss_mask: 0.4338, decode.d4.loss_dice: 0.6628, decode.d5.loss_cls: 0.1469, decode.d5.loss_mask: 0.4326, decode.d5.loss_dice: 0.6567, decode.d6.loss_cls: 0.1460, decode.d6.loss_mask: 0.4330, decode.d6.loss_dice: 0.6607, decode.d7.loss_cls: 0.1479, decode.d7.loss_mask: 0.4333, decode.d7.loss_dice: 0.6591, decode.d8.loss_cls: 0.1391, decode.d8.loss_mask: 0.4337, decode.d8.loss_dice: 0.6586, loss: 13.7341, grad_norm: 64.1813 2023-11-22 21:52:40,899 - mmseg - INFO - Iter [151350/160000] lr: 5.150e-07, eta: 1:24:25, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1426, decode.loss_mask: 0.4210, decode.loss_dice: 0.6377, decode.d0.loss_cls: 1.2243, decode.d0.loss_mask: 0.4548, decode.d0.loss_dice: 0.7001, decode.d1.loss_cls: 0.2112, decode.d1.loss_mask: 0.4367, decode.d1.loss_dice: 0.6689, decode.d2.loss_cls: 0.1748, decode.d2.loss_mask: 0.4271, decode.d2.loss_dice: 0.6501, decode.d3.loss_cls: 0.1550, decode.d3.loss_mask: 0.4228, decode.d3.loss_dice: 0.6438, decode.d4.loss_cls: 0.1476, decode.d4.loss_mask: 0.4217, decode.d4.loss_dice: 0.6427, decode.d5.loss_cls: 0.1462, decode.d5.loss_mask: 0.4216, decode.d5.loss_dice: 0.6432, decode.d6.loss_cls: 0.1448, decode.d6.loss_mask: 0.4203, decode.d6.loss_dice: 0.6386, decode.d7.loss_cls: 0.1425, decode.d7.loss_mask: 0.4197, decode.d7.loss_dice: 0.6396, decode.d8.loss_cls: 0.1420, decode.d8.loss_mask: 0.4193, decode.d8.loss_dice: 0.6382, loss: 13.3988, grad_norm: 63.1312 2023-11-22 21:53:09,399 - mmseg - INFO - Iter [151400/160000] lr: 5.120e-07, eta: 1:23:56, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1499, decode.loss_mask: 0.4267, decode.loss_dice: 0.6596, decode.d0.loss_cls: 1.2089, decode.d0.loss_mask: 0.4636, decode.d0.loss_dice: 0.7301, decode.d1.loss_cls: 0.2256, decode.d1.loss_mask: 0.4414, decode.d1.loss_dice: 0.6899, decode.d2.loss_cls: 0.1853, decode.d2.loss_mask: 0.4312, decode.d2.loss_dice: 0.6764, decode.d3.loss_cls: 0.1668, decode.d3.loss_mask: 0.4294, decode.d3.loss_dice: 0.6636, decode.d4.loss_cls: 0.1623, decode.d4.loss_mask: 0.4282, decode.d4.loss_dice: 0.6631, decode.d5.loss_cls: 0.1604, decode.d5.loss_mask: 0.4271, decode.d5.loss_dice: 0.6609, decode.d6.loss_cls: 0.1565, decode.d6.loss_mask: 0.4275, decode.d6.loss_dice: 0.6599, decode.d7.loss_cls: 0.1555, decode.d7.loss_mask: 0.4265, decode.d7.loss_dice: 0.6613, decode.d8.loss_cls: 0.1502, decode.d8.loss_mask: 0.4259, decode.d8.loss_dice: 0.6593, loss: 13.7730, grad_norm: 66.8161 2023-11-22 21:53:37,866 - mmseg - INFO - Iter [151450/160000] lr: 5.090e-07, eta: 1:23:26, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1532, decode.loss_mask: 0.4426, decode.loss_dice: 0.6660, decode.d0.loss_cls: 1.2300, decode.d0.loss_mask: 0.4729, decode.d0.loss_dice: 0.7385, decode.d1.loss_cls: 0.2238, decode.d1.loss_mask: 0.4564, decode.d1.loss_dice: 0.7018, decode.d2.loss_cls: 0.1866, decode.d2.loss_mask: 0.4487, decode.d2.loss_dice: 0.6840, decode.d3.loss_cls: 0.1660, decode.d3.loss_mask: 0.4467, decode.d3.loss_dice: 0.6703, decode.d4.loss_cls: 0.1627, decode.d4.loss_mask: 0.4458, decode.d4.loss_dice: 0.6723, decode.d5.loss_cls: 0.1550, decode.d5.loss_mask: 0.4463, decode.d5.loss_dice: 0.6712, decode.d6.loss_cls: 0.1581, decode.d6.loss_mask: 0.4440, decode.d6.loss_dice: 0.6664, decode.d7.loss_cls: 0.1538, decode.d7.loss_mask: 0.4420, decode.d7.loss_dice: 0.6654, decode.d8.loss_cls: 0.1510, decode.d8.loss_mask: 0.4423, decode.d8.loss_dice: 0.6687, loss: 14.0325, grad_norm: 69.0703 2023-11-22 21:54:05,972 - mmseg - INFO - Iter [151500/160000] lr: 5.061e-07, eta: 1:22:57, time: 0.562, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1566, decode.loss_mask: 0.4358, decode.loss_dice: 0.6632, decode.d0.loss_cls: 1.1985, decode.d0.loss_mask: 0.4677, decode.d0.loss_dice: 0.7228, decode.d1.loss_cls: 0.2244, decode.d1.loss_mask: 0.4501, decode.d1.loss_dice: 0.6904, decode.d2.loss_cls: 0.1888, decode.d2.loss_mask: 0.4420, decode.d2.loss_dice: 0.6741, decode.d3.loss_cls: 0.1699, decode.d3.loss_mask: 0.4381, decode.d3.loss_dice: 0.6649, decode.d4.loss_cls: 0.1624, decode.d4.loss_mask: 0.4378, decode.d4.loss_dice: 0.6662, decode.d5.loss_cls: 0.1652, decode.d5.loss_mask: 0.4383, decode.d5.loss_dice: 0.6631, decode.d6.loss_cls: 0.1625, decode.d6.loss_mask: 0.4377, decode.d6.loss_dice: 0.6580, decode.d7.loss_cls: 0.1597, decode.d7.loss_mask: 0.4370, decode.d7.loss_dice: 0.6624, decode.d8.loss_cls: 0.1600, decode.d8.loss_mask: 0.4371, decode.d8.loss_dice: 0.6580, loss: 13.8926, grad_norm: 64.2572 2023-11-22 21:54:34,166 - mmseg - INFO - Iter [151550/160000] lr: 5.031e-07, eta: 1:22:28, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1638, decode.loss_mask: 0.4296, decode.loss_dice: 0.6428, decode.d0.loss_cls: 1.2195, decode.d0.loss_mask: 0.4629, decode.d0.loss_dice: 0.7136, decode.d1.loss_cls: 0.2354, decode.d1.loss_mask: 0.4436, decode.d1.loss_dice: 0.6772, decode.d2.loss_cls: 0.1941, decode.d2.loss_mask: 0.4362, decode.d2.loss_dice: 0.6570, decode.d3.loss_cls: 0.1837, decode.d3.loss_mask: 0.4320, decode.d3.loss_dice: 0.6465, decode.d4.loss_cls: 0.1723, decode.d4.loss_mask: 0.4319, decode.d4.loss_dice: 0.6480, decode.d5.loss_cls: 0.1730, decode.d5.loss_mask: 0.4289, decode.d5.loss_dice: 0.6424, decode.d6.loss_cls: 0.1706, decode.d6.loss_mask: 0.4310, decode.d6.loss_dice: 0.6423, decode.d7.loss_cls: 0.1672, decode.d7.loss_mask: 0.4300, decode.d7.loss_dice: 0.6430, decode.d8.loss_cls: 0.1655, decode.d8.loss_mask: 0.4283, decode.d8.loss_dice: 0.6411, loss: 13.7533, grad_norm: 68.6136 2023-11-22 21:55:04,900 - mmseg - INFO - Iter [151600/160000] lr: 5.001e-07, eta: 1:21:59, time: 0.615, data_time: 0.059, memory: 38143, decode.loss_cls: 0.1593, decode.loss_mask: 0.4454, decode.loss_dice: 0.6601, decode.d0.loss_cls: 1.2605, decode.d0.loss_mask: 0.4809, decode.d0.loss_dice: 0.7278, decode.d1.loss_cls: 0.2407, decode.d1.loss_mask: 0.4620, decode.d1.loss_dice: 0.6876, decode.d2.loss_cls: 0.2053, decode.d2.loss_mask: 0.4519, decode.d2.loss_dice: 0.6730, decode.d3.loss_cls: 0.1882, decode.d3.loss_mask: 0.4488, decode.d3.loss_dice: 0.6629, decode.d4.loss_cls: 0.1743, decode.d4.loss_mask: 0.4476, decode.d4.loss_dice: 0.6631, decode.d5.loss_cls: 0.1713, decode.d5.loss_mask: 0.4471, decode.d5.loss_dice: 0.6592, decode.d6.loss_cls: 0.1676, decode.d6.loss_mask: 0.4470, decode.d6.loss_dice: 0.6597, decode.d7.loss_cls: 0.1638, decode.d7.loss_mask: 0.4463, decode.d7.loss_dice: 0.6603, decode.d8.loss_cls: 0.1606, decode.d8.loss_mask: 0.4459, decode.d8.loss_dice: 0.6580, loss: 14.1265, grad_norm: 62.3672 2023-11-22 21:55:33,242 - mmseg - INFO - Iter [151650/160000] lr: 4.971e-07, eta: 1:21:29, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1728, decode.loss_mask: 0.4295, decode.loss_dice: 0.6374, decode.d0.loss_cls: 1.2704, decode.d0.loss_mask: 0.4658, decode.d0.loss_dice: 0.7134, decode.d1.loss_cls: 0.2449, decode.d1.loss_mask: 0.4500, decode.d1.loss_dice: 0.6804, decode.d2.loss_cls: 0.2041, decode.d2.loss_mask: 0.4395, decode.d2.loss_dice: 0.6609, decode.d3.loss_cls: 0.1918, decode.d3.loss_mask: 0.4346, decode.d3.loss_dice: 0.6496, decode.d4.loss_cls: 0.1838, decode.d4.loss_mask: 0.4341, decode.d4.loss_dice: 0.6494, decode.d5.loss_cls: 0.1818, decode.d5.loss_mask: 0.4326, decode.d5.loss_dice: 0.6449, decode.d6.loss_cls: 0.1741, decode.d6.loss_mask: 0.4311, decode.d6.loss_dice: 0.6445, decode.d7.loss_cls: 0.1744, decode.d7.loss_mask: 0.4310, decode.d7.loss_dice: 0.6438, decode.d8.loss_cls: 0.1750, decode.d8.loss_mask: 0.4300, decode.d8.loss_dice: 0.6450, loss: 13.9206, grad_norm: 63.3975 2023-11-22 21:56:01,657 - mmseg - INFO - Iter [151700/160000] lr: 4.942e-07, eta: 1:21:00, time: 0.570, data_time: 0.015, memory: 38143, decode.loss_cls: 0.1549, decode.loss_mask: 0.4363, decode.loss_dice: 0.6628, decode.d0.loss_cls: 1.2501, decode.d0.loss_mask: 0.4683, decode.d0.loss_dice: 0.7371, decode.d1.loss_cls: 0.2231, decode.d1.loss_mask: 0.4510, decode.d1.loss_dice: 0.6916, decode.d2.loss_cls: 0.1817, decode.d2.loss_mask: 0.4441, decode.d2.loss_dice: 0.6795, decode.d3.loss_cls: 0.1729, decode.d3.loss_mask: 0.4402, decode.d3.loss_dice: 0.6638, decode.d4.loss_cls: 0.1615, decode.d4.loss_mask: 0.4389, decode.d4.loss_dice: 0.6684, decode.d5.loss_cls: 0.1596, decode.d5.loss_mask: 0.4389, decode.d5.loss_dice: 0.6673, decode.d6.loss_cls: 0.1612, decode.d6.loss_mask: 0.4398, decode.d6.loss_dice: 0.6646, decode.d7.loss_cls: 0.1568, decode.d7.loss_mask: 0.4390, decode.d7.loss_dice: 0.6630, decode.d8.loss_cls: 0.1512, decode.d8.loss_mask: 0.4380, decode.d8.loss_dice: 0.6642, loss: 13.9696, grad_norm: 62.6618 2023-11-22 21:56:29,980 - mmseg - INFO - Iter [151750/160000] lr: 4.912e-07, eta: 1:20:31, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1551, decode.loss_mask: 0.4317, decode.loss_dice: 0.6460, decode.d0.loss_cls: 1.2272, decode.d0.loss_mask: 0.4630, decode.d0.loss_dice: 0.7149, decode.d1.loss_cls: 0.2282, decode.d1.loss_mask: 0.4454, decode.d1.loss_dice: 0.6731, decode.d2.loss_cls: 0.1872, decode.d2.loss_mask: 0.4371, decode.d2.loss_dice: 0.6622, decode.d3.loss_cls: 0.1709, decode.d3.loss_mask: 0.4353, decode.d3.loss_dice: 0.6519, decode.d4.loss_cls: 0.1639, decode.d4.loss_mask: 0.4336, decode.d4.loss_dice: 0.6499, decode.d5.loss_cls: 0.1605, decode.d5.loss_mask: 0.4329, decode.d5.loss_dice: 0.6488, decode.d6.loss_cls: 0.1589, decode.d6.loss_mask: 0.4322, decode.d6.loss_dice: 0.6463, decode.d7.loss_cls: 0.1580, decode.d7.loss_mask: 0.4322, decode.d7.loss_dice: 0.6429, decode.d8.loss_cls: 0.1562, decode.d8.loss_mask: 0.4316, decode.d8.loss_dice: 0.6479, loss: 13.7249, grad_norm: 64.5263 2023-11-22 21:56:58,117 - mmseg - INFO - Iter [151800/160000] lr: 4.882e-07, eta: 1:20:01, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1499, decode.loss_mask: 0.4460, decode.loss_dice: 0.6376, decode.d0.loss_cls: 1.2493, decode.d0.loss_mask: 0.4763, decode.d0.loss_dice: 0.7091, decode.d1.loss_cls: 0.2290, decode.d1.loss_mask: 0.4576, decode.d1.loss_dice: 0.6712, decode.d2.loss_cls: 0.1849, decode.d2.loss_mask: 0.4494, decode.d2.loss_dice: 0.6536, decode.d3.loss_cls: 0.1624, decode.d3.loss_mask: 0.4467, decode.d3.loss_dice: 0.6469, decode.d4.loss_cls: 0.1593, decode.d4.loss_mask: 0.4460, decode.d4.loss_dice: 0.6444, decode.d5.loss_cls: 0.1558, decode.d5.loss_mask: 0.4460, decode.d5.loss_dice: 0.6394, decode.d6.loss_cls: 0.1529, decode.d6.loss_mask: 0.4462, decode.d6.loss_dice: 0.6427, decode.d7.loss_cls: 0.1531, decode.d7.loss_mask: 0.4453, decode.d7.loss_dice: 0.6448, decode.d8.loss_cls: 0.1553, decode.d8.loss_mask: 0.4447, decode.d8.loss_dice: 0.6404, loss: 13.7862, grad_norm: 66.5708 2023-11-22 21:57:26,391 - mmseg - INFO - Iter [151850/160000] lr: 4.852e-07, eta: 1:19:32, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1603, decode.loss_mask: 0.4210, decode.loss_dice: 0.6318, decode.d0.loss_cls: 1.2261, decode.d0.loss_mask: 0.4531, decode.d0.loss_dice: 0.6988, decode.d1.loss_cls: 0.2386, decode.d1.loss_mask: 0.4380, decode.d1.loss_dice: 0.6666, decode.d2.loss_cls: 0.1989, decode.d2.loss_mask: 0.4295, decode.d2.loss_dice: 0.6451, decode.d3.loss_cls: 0.1781, decode.d3.loss_mask: 0.4256, decode.d3.loss_dice: 0.6331, decode.d4.loss_cls: 0.1742, decode.d4.loss_mask: 0.4255, decode.d4.loss_dice: 0.6374, decode.d5.loss_cls: 0.1723, decode.d5.loss_mask: 0.4243, decode.d5.loss_dice: 0.6327, decode.d6.loss_cls: 0.1680, decode.d6.loss_mask: 0.4222, decode.d6.loss_dice: 0.6317, decode.d7.loss_cls: 0.1691, decode.d7.loss_mask: 0.4218, decode.d7.loss_dice: 0.6323, decode.d8.loss_cls: 0.1646, decode.d8.loss_mask: 0.4216, decode.d8.loss_dice: 0.6323, loss: 13.5743, grad_norm: 66.3175 2023-11-22 21:57:54,672 - mmseg - INFO - Iter [151900/160000] lr: 4.823e-07, eta: 1:19:03, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1469, decode.loss_mask: 0.4270, decode.loss_dice: 0.6457, decode.d0.loss_cls: 1.2288, decode.d0.loss_mask: 0.4565, decode.d0.loss_dice: 0.7027, decode.d1.loss_cls: 0.2179, decode.d1.loss_mask: 0.4418, decode.d1.loss_dice: 0.6809, decode.d2.loss_cls: 0.1800, decode.d2.loss_mask: 0.4344, decode.d2.loss_dice: 0.6643, decode.d3.loss_cls: 0.1671, decode.d3.loss_mask: 0.4307, decode.d3.loss_dice: 0.6541, decode.d4.loss_cls: 0.1576, decode.d4.loss_mask: 0.4298, decode.d4.loss_dice: 0.6507, decode.d5.loss_cls: 0.1561, decode.d5.loss_mask: 0.4295, decode.d5.loss_dice: 0.6504, decode.d6.loss_cls: 0.1489, decode.d6.loss_mask: 0.4293, decode.d6.loss_dice: 0.6493, decode.d7.loss_cls: 0.1531, decode.d7.loss_mask: 0.4287, decode.d7.loss_dice: 0.6493, decode.d8.loss_cls: 0.1514, decode.d8.loss_mask: 0.4273, decode.d8.loss_dice: 0.6477, loss: 13.6380, grad_norm: 62.6542 2023-11-22 21:58:23,025 - mmseg - INFO - Iter [151950/160000] lr: 4.793e-07, eta: 1:18:33, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1421, decode.loss_mask: 0.4303, decode.loss_dice: 0.6416, decode.d0.loss_cls: 1.2246, decode.d0.loss_mask: 0.4615, decode.d0.loss_dice: 0.7071, decode.d1.loss_cls: 0.2260, decode.d1.loss_mask: 0.4449, decode.d1.loss_dice: 0.6750, decode.d2.loss_cls: 0.1762, decode.d2.loss_mask: 0.4372, decode.d2.loss_dice: 0.6612, decode.d3.loss_cls: 0.1663, decode.d3.loss_mask: 0.4336, decode.d3.loss_dice: 0.6497, decode.d4.loss_cls: 0.1606, decode.d4.loss_mask: 0.4330, decode.d4.loss_dice: 0.6477, decode.d5.loss_cls: 0.1519, decode.d5.loss_mask: 0.4310, decode.d5.loss_dice: 0.6438, decode.d6.loss_cls: 0.1506, decode.d6.loss_mask: 0.4321, decode.d6.loss_dice: 0.6452, decode.d7.loss_cls: 0.1450, decode.d7.loss_mask: 0.4310, decode.d7.loss_dice: 0.6420, decode.d8.loss_cls: 0.1439, decode.d8.loss_mask: 0.4308, decode.d8.loss_dice: 0.6408, loss: 13.6066, grad_norm: 60.6605 2023-11-22 21:58:51,496 - mmseg - INFO - Saving checkpoint at 152000 iterations 2023-11-22 21:59:00,067 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 21:59:00,067 - mmseg - INFO - Iter [152000/160000] lr: 4.763e-07, eta: 1:18:04, time: 0.741, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1520, decode.loss_mask: 0.4257, decode.loss_dice: 0.6595, decode.d0.loss_cls: 1.2350, decode.d0.loss_mask: 0.4561, decode.d0.loss_dice: 0.7266, decode.d1.loss_cls: 0.2208, decode.d1.loss_mask: 0.4419, decode.d1.loss_dice: 0.6938, decode.d2.loss_cls: 0.1788, decode.d2.loss_mask: 0.4313, decode.d2.loss_dice: 0.6770, decode.d3.loss_cls: 0.1640, decode.d3.loss_mask: 0.4290, decode.d3.loss_dice: 0.6648, decode.d4.loss_cls: 0.1618, decode.d4.loss_mask: 0.4266, decode.d4.loss_dice: 0.6673, decode.d5.loss_cls: 0.1541, decode.d5.loss_mask: 0.4272, decode.d5.loss_dice: 0.6619, decode.d6.loss_cls: 0.1496, decode.d6.loss_mask: 0.4275, decode.d6.loss_dice: 0.6612, decode.d7.loss_cls: 0.1505, decode.d7.loss_mask: 0.4272, decode.d7.loss_dice: 0.6568, decode.d8.loss_cls: 0.1470, decode.d8.loss_mask: 0.4275, decode.d8.loss_dice: 0.6597, loss: 13.7618, grad_norm: 69.6659 2023-11-22 21:59:19,455 - mmseg - INFO - per class results: 2023-11-22 21:59:19,460 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.19 | 88.27 | | building | 83.79 | 91.34 | | sky | 95.04 | 97.72 | | floor | 83.85 | 91.13 | | tree | 76.12 | 88.69 | | ceiling | 85.9 | 92.81 | | road | 86.87 | 92.63 | | bed | 91.81 | 95.8 | | windowpane | 65.46 | 81.84 | | grass | 69.5 | 81.1 | | cabinet | 63.63 | 74.22 | | sidewalk | 69.85 | 82.09 | | person | 86.25 | 94.24 | | earth | 40.33 | 57.03 | | door | 55.46 | 71.15 | | table | 69.61 | 83.94 | | mountain | 59.61 | 75.4 | | plant | 55.02 | 66.71 | | curtain | 74.82 | 88.29 | | chair | 65.83 | 78.31 | | car | 87.96 | 93.95 | | water | 53.65 | 64.99 | | painting | 75.63 | 91.25 | | sofa | 77.86 | 88.77 | | shelf | 44.87 | 60.68 | | house | 43.69 | 69.99 | | sea | 61.52 | 91.08 | | mirror | 74.77 | 83.74 | | rug | 67.87 | 81.06 | | field | 35.31 | 58.43 | | armchair | 55.35 | 74.44 | | seat | 67.48 | 85.57 | | fence | 56.51 | 72.09 | | desk | 55.62 | 78.42 | | rock | 51.97 | 69.64 | | wardrobe | 44.94 | 70.77 | | lamp | 73.49 | 82.59 | | bathtub | 79.76 | 86.36 | | railing | 38.56 | 55.42 | | cushion | 68.58 | 79.33 | | base | 46.28 | 69.59 | | box | 34.39 | 44.91 | | column | 49.92 | 70.31 | | signboard | 41.45 | 58.43 | | chest of drawers | 37.94 | 62.84 | | counter | 44.22 | 52.79 | | sand | 38.57 | 52.17 | | sink | 80.73 | 85.56 | | skyscraper | 62.05 | 79.03 | | fireplace | 73.24 | 90.07 | | refrigerator | 77.69 | 84.16 | | grandstand | 45.88 | 76.48 | | path | 21.84 | 33.72 | | stairs | 33.51 | 37.86 | | runway | 70.93 | 91.62 | | case | 53.34 | 75.46 | | pool table | 94.43 | 97.79 | | pillow | 66.31 | 79.1 | | screen door | 78.37 | 88.61 | | stairway | 36.63 | 53.79 | | river | 11.05 | 20.51 | | bridge | 78.61 | 90.62 | | bookcase | 30.26 | 47.76 | | blind | 43.0 | 51.04 | | coffee table | 73.31 | 86.21 | | toilet | 91.52 | 93.83 | | flower | 42.91 | 65.15 | | book | 53.57 | 78.69 | | hill | 8.72 | 15.36 | | bench | 63.97 | 73.25 | | countertop | 62.82 | 80.29 | | stove | 85.03 | 87.46 | | palm | 54.59 | 81.22 | | kitchen island | 55.53 | 80.55 | | computer | 73.33 | 82.13 | | swivel chair | 46.25 | 64.32 | | boat | 37.46 | 56.53 | | bar | 54.63 | 60.56 | | arcade machine | 61.72 | 65.55 | | hovel | 45.68 | 49.53 | | bus | 85.26 | 97.3 | | towel | 77.18 | 89.65 | | light | 66.33 | 80.17 | | truck | 23.01 | 26.92 | | tower | 23.05 | 38.99 | | chandelier | 71.75 | 88.91 | | awning | 39.58 | 53.33 | | streetlight | 47.67 | 65.09 | | booth | 51.48 | 67.56 | | television receiver | 79.19 | 88.23 | | airplane | 61.12 | 74.19 | | dirt track | 9.19 | 15.9 | | apparel | 44.97 | 68.55 | | pole | 37.36 | 60.69 | | land | 2.94 | 6.61 | | bannister | 19.13 | 29.36 | | escalator | 51.12 | 61.85 | | ottoman | 57.96 | 77.96 | | bottle | 37.37 | 64.07 | | buffet | 34.23 | 42.94 | | poster | 27.93 | 42.93 | | stage | 24.45 | 47.82 | | van | 46.4 | 70.58 | | ship | 7.85 | 12.88 | | fountain | 21.54 | 21.91 | | conveyer belt | 73.83 | 94.52 | | canopy | 27.35 | 52.87 | | washer | 69.68 | 73.0 | | plaything | 53.35 | 75.61 | | swimming pool | 55.51 | 71.48 | | stool | 52.24 | 68.11 | | barrel | 92.95 | 97.96 | | basket | 42.08 | 54.4 | | waterfall | 76.5 | 85.97 | | tent | 89.07 | 98.25 | | bag | 24.31 | 33.83 | | minibike | 71.21 | 90.53 | | cradle | 90.65 | 97.34 | | oven | 57.2 | 68.37 | | ball | 62.44 | 73.41 | | food | 57.62 | 67.36 | | step | 25.26 | 34.08 | | tank | 60.65 | 66.27 | | trade name | 30.89 | 37.76 | | microwave | 87.34 | 96.56 | | pot | 55.97 | 67.52 | | animal | 58.24 | 59.59 | | bicycle | 62.54 | 80.68 | | lake | 55.59 | 63.65 | | dishwasher | 76.72 | 82.84 | | screen | 58.07 | 92.08 | | blanket | 40.74 | 51.17 | | sculpture | 73.81 | 89.03 | | hood | 73.91 | 78.26 | | sconce | 61.72 | 74.47 | | vase | 56.84 | 74.0 | | traffic light | 48.66 | 73.09 | | tray | 18.7 | 30.44 | | ashcan | 51.94 | 75.02 | | fan | 71.48 | 84.67 | | pier | 16.47 | 17.46 | | crt screen | 2.25 | 6.9 | | plate | 63.33 | 81.21 | | monitor | 9.45 | 12.55 | | bulletin board | 56.37 | 80.21 | | shower | 19.31 | 25.26 | | radiator | 69.35 | 84.51 | | glass | 24.14 | 26.6 | | clock | 56.21 | 68.83 | | flag | 72.62 | 83.42 | +---------------------+-------+-------+ 2023-11-22 21:59:19,460 - mmseg - INFO - Summary: 2023-11-22 21:59:19,460 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 85.12 | 55.6 | 68.81 | +-------+------+-------+ 2023-11-22 21:59:19,461 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 21:59:19,461 - mmseg - INFO - Iter(val) [250] aAcc: 0.8512, mIoU: 0.5560, mAcc: 0.6881, IoU.wall: 0.8119, IoU.building: 0.8379, IoU.sky: 0.9504, IoU.floor: 0.8385, IoU.tree: 0.7612, IoU.ceiling: 0.8590, IoU.road: 0.8687, IoU.bed : 0.9181, IoU.windowpane: 0.6546, IoU.grass: 0.6950, IoU.cabinet: 0.6363, IoU.sidewalk: 0.6985, IoU.person: 0.8625, IoU.earth: 0.4033, IoU.door: 0.5546, IoU.table: 0.6961, IoU.mountain: 0.5961, IoU.plant: 0.5502, IoU.curtain: 0.7482, IoU.chair: 0.6583, IoU.car: 0.8796, IoU.water: 0.5365, IoU.painting: 0.7563, IoU.sofa: 0.7786, IoU.shelf: 0.4487, IoU.house: 0.4369, IoU.sea: 0.6152, IoU.mirror: 0.7477, IoU.rug: 0.6787, IoU.field: 0.3531, IoU.armchair: 0.5535, IoU.seat: 0.6748, IoU.fence: 0.5651, IoU.desk: 0.5562, IoU.rock: 0.5197, IoU.wardrobe: 0.4494, IoU.lamp: 0.7349, IoU.bathtub: 0.7976, IoU.railing: 0.3856, IoU.cushion: 0.6858, IoU.base: 0.4628, IoU.box: 0.3439, IoU.column: 0.4992, IoU.signboard: 0.4145, IoU.chest of drawers: 0.3794, IoU.counter: 0.4422, IoU.sand: 0.3857, IoU.sink: 0.8073, IoU.skyscraper: 0.6205, IoU.fireplace: 0.7324, IoU.refrigerator: 0.7769, IoU.grandstand: 0.4588, IoU.path: 0.2184, IoU.stairs: 0.3351, IoU.runway: 0.7093, IoU.case: 0.5334, IoU.pool table: 0.9443, IoU.pillow: 0.6631, IoU.screen door: 0.7837, IoU.stairway: 0.3663, IoU.river: 0.1105, IoU.bridge: 0.7861, IoU.bookcase: 0.3026, IoU.blind: 0.4300, IoU.coffee table: 0.7331, IoU.toilet: 0.9152, IoU.flower: 0.4291, IoU.book: 0.5357, IoU.hill: 0.0872, IoU.bench: 0.6397, IoU.countertop: 0.6282, IoU.stove: 0.8503, IoU.palm: 0.5459, IoU.kitchen island: 0.5553, IoU.computer: 0.7333, IoU.swivel chair: 0.4625, IoU.boat: 0.3746, IoU.bar: 0.5463, IoU.arcade machine: 0.6172, IoU.hovel: 0.4568, IoU.bus: 0.8526, IoU.towel: 0.7718, IoU.light: 0.6633, IoU.truck: 0.2301, IoU.tower: 0.2305, IoU.chandelier: 0.7175, IoU.awning: 0.3958, IoU.streetlight: 0.4767, IoU.booth: 0.5148, IoU.television receiver: 0.7919, IoU.airplane: 0.6112, IoU.dirt track: 0.0919, IoU.apparel: 0.4497, IoU.pole: 0.3736, IoU.land: 0.0294, IoU.bannister: 0.1913, IoU.escalator: 0.5112, IoU.ottoman: 0.5796, IoU.bottle: 0.3737, IoU.buffet: 0.3423, IoU.poster: 0.2793, IoU.stage: 0.2445, IoU.van: 0.4640, IoU.ship: 0.0785, IoU.fountain: 0.2154, IoU.conveyer belt: 0.7383, IoU.canopy: 0.2735, IoU.washer: 0.6968, IoU.plaything: 0.5335, IoU.swimming pool: 0.5551, IoU.stool: 0.5224, IoU.barrel: 0.9295, IoU.basket: 0.4208, IoU.waterfall: 0.7650, IoU.tent: 0.8907, IoU.bag: 0.2431, IoU.minibike: 0.7121, IoU.cradle: 0.9065, IoU.oven: 0.5720, IoU.ball: 0.6244, IoU.food: 0.5762, IoU.step: 0.2526, IoU.tank: 0.6065, IoU.trade name: 0.3089, IoU.microwave: 0.8734, IoU.pot: 0.5597, IoU.animal: 0.5824, IoU.bicycle: 0.6254, IoU.lake: 0.5559, IoU.dishwasher: 0.7672, IoU.screen: 0.5807, IoU.blanket: 0.4074, IoU.sculpture: 0.7381, IoU.hood: 0.7391, IoU.sconce: 0.6172, IoU.vase: 0.5684, IoU.traffic light: 0.4866, IoU.tray: 0.1870, IoU.ashcan: 0.5194, IoU.fan: 0.7148, IoU.pier: 0.1647, IoU.crt screen: 0.0225, IoU.plate: 0.6333, IoU.monitor: 0.0945, IoU.bulletin board: 0.5637, IoU.shower: 0.1931, IoU.radiator: 0.6935, IoU.glass: 0.2414, IoU.clock: 0.5621, IoU.flag: 0.7262, Acc.wall: 0.8827, Acc.building: 0.9134, Acc.sky: 0.9772, Acc.floor: 0.9113, Acc.tree: 0.8869, Acc.ceiling: 0.9281, Acc.road: 0.9263, Acc.bed : 0.9580, Acc.windowpane: 0.8184, Acc.grass: 0.8110, Acc.cabinet: 0.7422, Acc.sidewalk: 0.8209, Acc.person: 0.9424, Acc.earth: 0.5703, Acc.door: 0.7115, Acc.table: 0.8394, Acc.mountain: 0.7540, Acc.plant: 0.6671, Acc.curtain: 0.8829, Acc.chair: 0.7831, Acc.car: 0.9395, Acc.water: 0.6499, Acc.painting: 0.9125, Acc.sofa: 0.8877, Acc.shelf: 0.6068, Acc.house: 0.6999, Acc.sea: 0.9108, Acc.mirror: 0.8374, Acc.rug: 0.8106, Acc.field: 0.5843, Acc.armchair: 0.7444, Acc.seat: 0.8557, Acc.fence: 0.7209, Acc.desk: 0.7842, Acc.rock: 0.6964, Acc.wardrobe: 0.7077, Acc.lamp: 0.8259, Acc.bathtub: 0.8636, Acc.railing: 0.5542, Acc.cushion: 0.7933, Acc.base: 0.6959, Acc.box: 0.4491, Acc.column: 0.7031, Acc.signboard: 0.5843, Acc.chest of drawers: 0.6284, Acc.counter: 0.5279, Acc.sand: 0.5217, Acc.sink: 0.8556, Acc.skyscraper: 0.7903, Acc.fireplace: 0.9007, Acc.refrigerator: 0.8416, Acc.grandstand: 0.7648, Acc.path: 0.3372, Acc.stairs: 0.3786, Acc.runway: 0.9162, Acc.case: 0.7546, Acc.pool table: 0.9779, Acc.pillow: 0.7910, Acc.screen door: 0.8861, Acc.stairway: 0.5379, Acc.river: 0.2051, Acc.bridge: 0.9062, Acc.bookcase: 0.4776, Acc.blind: 0.5104, Acc.coffee table: 0.8621, Acc.toilet: 0.9383, Acc.flower: 0.6515, Acc.book: 0.7869, Acc.hill: 0.1536, Acc.bench: 0.7325, Acc.countertop: 0.8029, Acc.stove: 0.8746, Acc.palm: 0.8122, Acc.kitchen island: 0.8055, Acc.computer: 0.8213, Acc.swivel chair: 0.6432, Acc.boat: 0.5653, Acc.bar: 0.6056, Acc.arcade machine: 0.6555, Acc.hovel: 0.4953, Acc.bus: 0.9730, Acc.towel: 0.8965, Acc.light: 0.8017, Acc.truck: 0.2692, Acc.tower: 0.3899, Acc.chandelier: 0.8891, Acc.awning: 0.5333, Acc.streetlight: 0.6509, Acc.booth: 0.6756, Acc.television receiver: 0.8823, Acc.airplane: 0.7419, Acc.dirt track: 0.1590, Acc.apparel: 0.6855, Acc.pole: 0.6069, Acc.land: 0.0661, Acc.bannister: 0.2936, Acc.escalator: 0.6185, Acc.ottoman: 0.7796, Acc.bottle: 0.6407, Acc.buffet: 0.4294, Acc.poster: 0.4293, Acc.stage: 0.4782, Acc.van: 0.7058, Acc.ship: 0.1288, Acc.fountain: 0.2191, Acc.conveyer belt: 0.9452, Acc.canopy: 0.5287, Acc.washer: 0.7300, Acc.plaything: 0.7561, Acc.swimming pool: 0.7148, Acc.stool: 0.6811, Acc.barrel: 0.9796, Acc.basket: 0.5440, Acc.waterfall: 0.8597, Acc.tent: 0.9825, Acc.bag: 0.3383, Acc.minibike: 0.9053, Acc.cradle: 0.9734, Acc.oven: 0.6837, Acc.ball: 0.7341, Acc.food: 0.6736, Acc.step: 0.3408, Acc.tank: 0.6627, Acc.trade name: 0.3776, Acc.microwave: 0.9656, Acc.pot: 0.6752, Acc.animal: 0.5959, Acc.bicycle: 0.8068, Acc.lake: 0.6365, Acc.dishwasher: 0.8284, Acc.screen: 0.9208, Acc.blanket: 0.5117, Acc.sculpture: 0.8903, Acc.hood: 0.7826, Acc.sconce: 0.7447, Acc.vase: 0.7400, Acc.traffic light: 0.7309, Acc.tray: 0.3044, Acc.ashcan: 0.7502, Acc.fan: 0.8467, Acc.pier: 0.1746, Acc.crt screen: 0.0690, Acc.plate: 0.8121, Acc.monitor: 0.1255, Acc.bulletin board: 0.8021, Acc.shower: 0.2526, Acc.radiator: 0.8451, Acc.glass: 0.2660, Acc.clock: 0.6883, Acc.flag: 0.8342 2023-11-22 21:59:47,962 - mmseg - INFO - Iter [152050/160000] lr: 4.733e-07, eta: 1:17:36, time: 0.958, data_time: 0.401, memory: 38143, decode.loss_cls: 0.1656, decode.loss_mask: 0.4420, decode.loss_dice: 0.6574, decode.d0.loss_cls: 1.2460, decode.d0.loss_mask: 0.4763, decode.d0.loss_dice: 0.7333, decode.d1.loss_cls: 0.2414, decode.d1.loss_mask: 0.4596, decode.d1.loss_dice: 0.6932, decode.d2.loss_cls: 0.1957, decode.d2.loss_mask: 0.4499, decode.d2.loss_dice: 0.6778, decode.d3.loss_cls: 0.1811, decode.d3.loss_mask: 0.4456, decode.d3.loss_dice: 0.6626, decode.d4.loss_cls: 0.1718, decode.d4.loss_mask: 0.4453, decode.d4.loss_dice: 0.6641, decode.d5.loss_cls: 0.1674, decode.d5.loss_mask: 0.4448, decode.d5.loss_dice: 0.6594, decode.d6.loss_cls: 0.1678, decode.d6.loss_mask: 0.4445, decode.d6.loss_dice: 0.6558, decode.d7.loss_cls: 0.1589, decode.d7.loss_mask: 0.4455, decode.d7.loss_dice: 0.6603, decode.d8.loss_cls: 0.1631, decode.d8.loss_mask: 0.4433, decode.d8.loss_dice: 0.6575, loss: 14.0769, grad_norm: 67.4814 2023-11-22 22:00:16,266 - mmseg - INFO - Iter [152100/160000] lr: 4.703e-07, eta: 1:17:07, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1508, decode.loss_mask: 0.4323, decode.loss_dice: 0.6563, decode.d0.loss_cls: 1.2321, decode.d0.loss_mask: 0.4664, decode.d0.loss_dice: 0.7258, decode.d1.loss_cls: 0.2324, decode.d1.loss_mask: 0.4469, decode.d1.loss_dice: 0.6880, decode.d2.loss_cls: 0.1820, decode.d2.loss_mask: 0.4383, decode.d2.loss_dice: 0.6706, decode.d3.loss_cls: 0.1683, decode.d3.loss_mask: 0.4362, decode.d3.loss_dice: 0.6593, decode.d4.loss_cls: 0.1638, decode.d4.loss_mask: 0.4355, decode.d4.loss_dice: 0.6609, decode.d5.loss_cls: 0.1566, decode.d5.loss_mask: 0.4338, decode.d5.loss_dice: 0.6549, decode.d6.loss_cls: 0.1551, decode.d6.loss_mask: 0.4330, decode.d6.loss_dice: 0.6588, decode.d7.loss_cls: 0.1516, decode.d7.loss_mask: 0.4333, decode.d7.loss_dice: 0.6563, decode.d8.loss_cls: 0.1530, decode.d8.loss_mask: 0.4319, decode.d8.loss_dice: 0.6574, loss: 13.8217, grad_norm: 69.5204 2023-11-22 22:00:44,593 - mmseg - INFO - Iter [152150/160000] lr: 4.674e-07, eta: 1:16:37, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1665, decode.loss_mask: 0.4193, decode.loss_dice: 0.6690, decode.d0.loss_cls: 1.2900, decode.d0.loss_mask: 0.4550, decode.d0.loss_dice: 0.7419, decode.d1.loss_cls: 0.2507, decode.d1.loss_mask: 0.4364, decode.d1.loss_dice: 0.7009, decode.d2.loss_cls: 0.2034, decode.d2.loss_mask: 0.4268, decode.d2.loss_dice: 0.6864, decode.d3.loss_cls: 0.1913, decode.d3.loss_mask: 0.4240, decode.d3.loss_dice: 0.6707, decode.d4.loss_cls: 0.1835, decode.d4.loss_mask: 0.4217, decode.d4.loss_dice: 0.6711, decode.d5.loss_cls: 0.1818, decode.d5.loss_mask: 0.4210, decode.d5.loss_dice: 0.6725, decode.d6.loss_cls: 0.1727, decode.d6.loss_mask: 0.4215, decode.d6.loss_dice: 0.6732, decode.d7.loss_cls: 0.1725, decode.d7.loss_mask: 0.4204, decode.d7.loss_dice: 0.6728, decode.d8.loss_cls: 0.1707, decode.d8.loss_mask: 0.4199, decode.d8.loss_dice: 0.6701, loss: 14.0777, grad_norm: 60.1422 2023-11-22 22:01:12,964 - mmseg - INFO - Iter [152200/160000] lr: 4.644e-07, eta: 1:16:08, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1460, decode.loss_mask: 0.4028, decode.loss_dice: 0.6366, decode.d0.loss_cls: 1.2551, decode.d0.loss_mask: 0.4323, decode.d0.loss_dice: 0.7032, decode.d1.loss_cls: 0.2224, decode.d1.loss_mask: 0.4158, decode.d1.loss_dice: 0.6651, decode.d2.loss_cls: 0.1825, decode.d2.loss_mask: 0.4090, decode.d2.loss_dice: 0.6531, decode.d3.loss_cls: 0.1646, decode.d3.loss_mask: 0.4070, decode.d3.loss_dice: 0.6446, decode.d4.loss_cls: 0.1588, decode.d4.loss_mask: 0.4069, decode.d4.loss_dice: 0.6425, decode.d5.loss_cls: 0.1530, decode.d5.loss_mask: 0.4041, decode.d5.loss_dice: 0.6385, decode.d6.loss_cls: 0.1509, decode.d6.loss_mask: 0.4029, decode.d6.loss_dice: 0.6373, decode.d7.loss_cls: 0.1523, decode.d7.loss_mask: 0.4028, decode.d7.loss_dice: 0.6356, decode.d8.loss_cls: 0.1472, decode.d8.loss_mask: 0.4033, decode.d8.loss_dice: 0.6386, loss: 13.3146, grad_norm: 64.7561 2023-11-22 22:01:41,593 - mmseg - INFO - Iter [152250/160000] lr: 4.614e-07, eta: 1:15:39, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1518, decode.loss_mask: 0.4118, decode.loss_dice: 0.6406, decode.d0.loss_cls: 1.2390, decode.d0.loss_mask: 0.4414, decode.d0.loss_dice: 0.7103, decode.d1.loss_cls: 0.2221, decode.d1.loss_mask: 0.4268, decode.d1.loss_dice: 0.6736, decode.d2.loss_cls: 0.1843, decode.d2.loss_mask: 0.4184, decode.d2.loss_dice: 0.6550, decode.d3.loss_cls: 0.1705, decode.d3.loss_mask: 0.4147, decode.d3.loss_dice: 0.6466, decode.d4.loss_cls: 0.1599, decode.d4.loss_mask: 0.4145, decode.d4.loss_dice: 0.6481, decode.d5.loss_cls: 0.1562, decode.d5.loss_mask: 0.4148, decode.d5.loss_dice: 0.6457, decode.d6.loss_cls: 0.1601, decode.d6.loss_mask: 0.4128, decode.d6.loss_dice: 0.6430, decode.d7.loss_cls: 0.1589, decode.d7.loss_mask: 0.4119, decode.d7.loss_dice: 0.6431, decode.d8.loss_cls: 0.1544, decode.d8.loss_mask: 0.4116, decode.d8.loss_dice: 0.6407, loss: 13.4827, grad_norm: 64.7934 2023-11-22 22:02:10,079 - mmseg - INFO - Iter [152300/160000] lr: 4.584e-07, eta: 1:15:09, time: 0.570, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1644, decode.loss_mask: 0.4304, decode.loss_dice: 0.6506, decode.d0.loss_cls: 1.2359, decode.d0.loss_mask: 0.4673, decode.d0.loss_dice: 0.7231, decode.d1.loss_cls: 0.2375, decode.d1.loss_mask: 0.4503, decode.d1.loss_dice: 0.6895, decode.d2.loss_cls: 0.2006, decode.d2.loss_mask: 0.4403, decode.d2.loss_dice: 0.6683, decode.d3.loss_cls: 0.1833, decode.d3.loss_mask: 0.4366, decode.d3.loss_dice: 0.6569, decode.d4.loss_cls: 0.1770, decode.d4.loss_mask: 0.4348, decode.d4.loss_dice: 0.6602, decode.d5.loss_cls: 0.1736, decode.d5.loss_mask: 0.4324, decode.d5.loss_dice: 0.6552, decode.d6.loss_cls: 0.1722, decode.d6.loss_mask: 0.4323, decode.d6.loss_dice: 0.6527, decode.d7.loss_cls: 0.1664, decode.d7.loss_mask: 0.4317, decode.d7.loss_dice: 0.6540, decode.d8.loss_cls: 0.1650, decode.d8.loss_mask: 0.4307, decode.d8.loss_dice: 0.6520, loss: 13.9250, grad_norm: 71.1337 2023-11-22 22:02:38,501 - mmseg - INFO - Iter [152350/160000] lr: 4.555e-07, eta: 1:14:40, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1649, decode.loss_mask: 0.4275, decode.loss_dice: 0.6728, decode.d0.loss_cls: 1.2528, decode.d0.loss_mask: 0.4636, decode.d0.loss_dice: 0.7426, decode.d1.loss_cls: 0.2412, decode.d1.loss_mask: 0.4415, decode.d1.loss_dice: 0.7061, decode.d2.loss_cls: 0.1981, decode.d2.loss_mask: 0.4369, decode.d2.loss_dice: 0.6874, decode.d3.loss_cls: 0.1799, decode.d3.loss_mask: 0.4307, decode.d3.loss_dice: 0.6794, decode.d4.loss_cls: 0.1762, decode.d4.loss_mask: 0.4306, decode.d4.loss_dice: 0.6788, decode.d5.loss_cls: 0.1673, decode.d5.loss_mask: 0.4301, decode.d5.loss_dice: 0.6794, decode.d6.loss_cls: 0.1657, decode.d6.loss_mask: 0.4283, decode.d6.loss_dice: 0.6707, decode.d7.loss_cls: 0.1647, decode.d7.loss_mask: 0.4279, decode.d7.loss_dice: 0.6730, decode.d8.loss_cls: 0.1632, decode.d8.loss_mask: 0.4292, decode.d8.loss_dice: 0.6715, loss: 14.0820, grad_norm: 63.4757 2023-11-22 22:03:06,691 - mmseg - INFO - Iter [152400/160000] lr: 4.525e-07, eta: 1:14:11, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1504, decode.loss_mask: 0.4158, decode.loss_dice: 0.6463, decode.d0.loss_cls: 1.2318, decode.d0.loss_mask: 0.4511, decode.d0.loss_dice: 0.7110, decode.d1.loss_cls: 0.2300, decode.d1.loss_mask: 0.4301, decode.d1.loss_dice: 0.6771, decode.d2.loss_cls: 0.1874, decode.d2.loss_mask: 0.4224, decode.d2.loss_dice: 0.6562, decode.d3.loss_cls: 0.1688, decode.d3.loss_mask: 0.4195, decode.d3.loss_dice: 0.6487, decode.d4.loss_cls: 0.1627, decode.d4.loss_mask: 0.4184, decode.d4.loss_dice: 0.6483, decode.d5.loss_cls: 0.1572, decode.d5.loss_mask: 0.4185, decode.d5.loss_dice: 0.6517, decode.d6.loss_cls: 0.1580, decode.d6.loss_mask: 0.4175, decode.d6.loss_dice: 0.6437, decode.d7.loss_cls: 0.1520, decode.d7.loss_mask: 0.4165, decode.d7.loss_dice: 0.6456, decode.d8.loss_cls: 0.1501, decode.d8.loss_mask: 0.4157, decode.d8.loss_dice: 0.6423, loss: 13.5447, grad_norm: 65.4566 2023-11-22 22:03:35,065 - mmseg - INFO - Iter [152450/160000] lr: 4.495e-07, eta: 1:13:41, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1482, decode.loss_mask: 0.4411, decode.loss_dice: 0.6407, decode.d0.loss_cls: 1.2252, decode.d0.loss_mask: 0.4738, decode.d0.loss_dice: 0.7147, decode.d1.loss_cls: 0.2163, decode.d1.loss_mask: 0.4556, decode.d1.loss_dice: 0.6770, decode.d2.loss_cls: 0.1792, decode.d2.loss_mask: 0.4472, decode.d2.loss_dice: 0.6537, decode.d3.loss_cls: 0.1670, decode.d3.loss_mask: 0.4457, decode.d3.loss_dice: 0.6480, decode.d4.loss_cls: 0.1605, decode.d4.loss_mask: 0.4442, decode.d4.loss_dice: 0.6518, decode.d5.loss_cls: 0.1593, decode.d5.loss_mask: 0.4435, decode.d5.loss_dice: 0.6484, decode.d6.loss_cls: 0.1522, decode.d6.loss_mask: 0.4412, decode.d6.loss_dice: 0.6410, decode.d7.loss_cls: 0.1487, decode.d7.loss_mask: 0.4418, decode.d7.loss_dice: 0.6421, decode.d8.loss_cls: 0.1493, decode.d8.loss_mask: 0.4413, decode.d8.loss_dice: 0.6429, loss: 13.7415, grad_norm: 72.2678 2023-11-22 22:04:03,259 - mmseg - INFO - Iter [152500/160000] lr: 4.465e-07, eta: 1:13:12, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1482, decode.loss_mask: 0.4287, decode.loss_dice: 0.6478, decode.d0.loss_cls: 1.2080, decode.d0.loss_mask: 0.4595, decode.d0.loss_dice: 0.7120, decode.d1.loss_cls: 0.2205, decode.d1.loss_mask: 0.4422, decode.d1.loss_dice: 0.6769, decode.d2.loss_cls: 0.1829, decode.d2.loss_mask: 0.4351, decode.d2.loss_dice: 0.6608, decode.d3.loss_cls: 0.1640, decode.d3.loss_mask: 0.4316, decode.d3.loss_dice: 0.6521, decode.d4.loss_cls: 0.1597, decode.d4.loss_mask: 0.4298, decode.d4.loss_dice: 0.6512, decode.d5.loss_cls: 0.1534, decode.d5.loss_mask: 0.4302, decode.d5.loss_dice: 0.6463, decode.d6.loss_cls: 0.1525, decode.d6.loss_mask: 0.4304, decode.d6.loss_dice: 0.6456, decode.d7.loss_cls: 0.1486, decode.d7.loss_mask: 0.4299, decode.d7.loss_dice: 0.6472, decode.d8.loss_cls: 0.1490, decode.d8.loss_mask: 0.4292, decode.d8.loss_dice: 0.6439, loss: 13.6174, grad_norm: 63.3836 2023-11-22 22:04:31,681 - mmseg - INFO - Iter [152550/160000] lr: 4.436e-07, eta: 1:12:43, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1625, decode.loss_mask: 0.4285, decode.loss_dice: 0.6600, decode.d0.loss_cls: 1.2276, decode.d0.loss_mask: 0.4641, decode.d0.loss_dice: 0.7227, decode.d1.loss_cls: 0.2258, decode.d1.loss_mask: 0.4435, decode.d1.loss_dice: 0.6876, decode.d2.loss_cls: 0.1861, decode.d2.loss_mask: 0.4371, decode.d2.loss_dice: 0.6741, decode.d3.loss_cls: 0.1698, decode.d3.loss_mask: 0.4333, decode.d3.loss_dice: 0.6612, decode.d4.loss_cls: 0.1662, decode.d4.loss_mask: 0.4320, decode.d4.loss_dice: 0.6656, decode.d5.loss_cls: 0.1626, decode.d5.loss_mask: 0.4317, decode.d5.loss_dice: 0.6619, decode.d6.loss_cls: 0.1632, decode.d6.loss_mask: 0.4314, decode.d6.loss_dice: 0.6590, decode.d7.loss_cls: 0.1590, decode.d7.loss_mask: 0.4307, decode.d7.loss_dice: 0.6582, decode.d8.loss_cls: 0.1549, decode.d8.loss_mask: 0.4290, decode.d8.loss_dice: 0.6571, loss: 13.8465, grad_norm: 57.9094 2023-11-22 22:05:00,094 - mmseg - INFO - Iter [152600/160000] lr: 4.406e-07, eta: 1:12:13, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1451, decode.loss_mask: 0.4209, decode.loss_dice: 0.6326, decode.d0.loss_cls: 1.2521, decode.d0.loss_mask: 0.4509, decode.d0.loss_dice: 0.6996, decode.d1.loss_cls: 0.2295, decode.d1.loss_mask: 0.4326, decode.d1.loss_dice: 0.6672, decode.d2.loss_cls: 0.1827, decode.d2.loss_mask: 0.4268, decode.d2.loss_dice: 0.6480, decode.d3.loss_cls: 0.1632, decode.d3.loss_mask: 0.4245, decode.d3.loss_dice: 0.6370, decode.d4.loss_cls: 0.1544, decode.d4.loss_mask: 0.4247, decode.d4.loss_dice: 0.6392, decode.d5.loss_cls: 0.1512, decode.d5.loss_mask: 0.4233, decode.d5.loss_dice: 0.6373, decode.d6.loss_cls: 0.1505, decode.d6.loss_mask: 0.4222, decode.d6.loss_dice: 0.6332, decode.d7.loss_cls: 0.1469, decode.d7.loss_mask: 0.4229, decode.d7.loss_dice: 0.6315, decode.d8.loss_cls: 0.1435, decode.d8.loss_mask: 0.4227, decode.d8.loss_dice: 0.6298, loss: 13.4461, grad_norm: 68.2597 2023-11-22 22:05:28,458 - mmseg - INFO - Iter [152650/160000] lr: 4.376e-07, eta: 1:11:44, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1598, decode.loss_mask: 0.4147, decode.loss_dice: 0.6427, decode.d0.loss_cls: 1.2733, decode.d0.loss_mask: 0.4474, decode.d0.loss_dice: 0.7116, decode.d1.loss_cls: 0.2429, decode.d1.loss_mask: 0.4329, decode.d1.loss_dice: 0.6835, decode.d2.loss_cls: 0.2007, decode.d2.loss_mask: 0.4253, decode.d2.loss_dice: 0.6618, decode.d3.loss_cls: 0.1825, decode.d3.loss_mask: 0.4190, decode.d3.loss_dice: 0.6477, decode.d4.loss_cls: 0.1759, decode.d4.loss_mask: 0.4174, decode.d4.loss_dice: 0.6492, decode.d5.loss_cls: 0.1708, decode.d5.loss_mask: 0.4167, decode.d5.loss_dice: 0.6438, decode.d6.loss_cls: 0.1629, decode.d6.loss_mask: 0.4168, decode.d6.loss_dice: 0.6426, decode.d7.loss_cls: 0.1652, decode.d7.loss_mask: 0.4153, decode.d7.loss_dice: 0.6441, decode.d8.loss_cls: 0.1632, decode.d8.loss_mask: 0.4154, decode.d8.loss_dice: 0.6422, loss: 13.6873, grad_norm: 67.8223 2023-11-22 22:05:56,927 - mmseg - INFO - Iter [152700/160000] lr: 4.346e-07, eta: 1:11:15, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1584, decode.loss_mask: 0.4157, decode.loss_dice: 0.6482, decode.d0.loss_cls: 1.2598, decode.d0.loss_mask: 0.4490, decode.d0.loss_dice: 0.7207, decode.d1.loss_cls: 0.2266, decode.d1.loss_mask: 0.4320, decode.d1.loss_dice: 0.6840, decode.d2.loss_cls: 0.1928, decode.d2.loss_mask: 0.4291, decode.d2.loss_dice: 0.6669, decode.d3.loss_cls: 0.1758, decode.d3.loss_mask: 0.4230, decode.d3.loss_dice: 0.6558, decode.d4.loss_cls: 0.1683, decode.d4.loss_mask: 0.4195, decode.d4.loss_dice: 0.6540, decode.d5.loss_cls: 0.1636, decode.d5.loss_mask: 0.4201, decode.d5.loss_dice: 0.6515, decode.d6.loss_cls: 0.1616, decode.d6.loss_mask: 0.4187, decode.d6.loss_dice: 0.6507, decode.d7.loss_cls: 0.1604, decode.d7.loss_mask: 0.4173, decode.d7.loss_dice: 0.6470, decode.d8.loss_cls: 0.1598, decode.d8.loss_mask: 0.4164, decode.d8.loss_dice: 0.6507, loss: 13.6975, grad_norm: 65.3696 2023-11-22 22:06:25,181 - mmseg - INFO - Iter [152750/160000] lr: 4.317e-07, eta: 1:10:45, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1576, decode.loss_mask: 0.4598, decode.loss_dice: 0.6706, decode.d0.loss_cls: 1.2428, decode.d0.loss_mask: 0.4979, decode.d0.loss_dice: 0.7520, decode.d1.loss_cls: 0.2386, decode.d1.loss_mask: 0.4801, decode.d1.loss_dice: 0.7066, decode.d2.loss_cls: 0.1877, decode.d2.loss_mask: 0.4715, decode.d2.loss_dice: 0.6937, decode.d3.loss_cls: 0.1765, decode.d3.loss_mask: 0.4667, decode.d3.loss_dice: 0.6782, decode.d4.loss_cls: 0.1706, decode.d4.loss_mask: 0.4644, decode.d4.loss_dice: 0.6792, decode.d5.loss_cls: 0.1617, decode.d5.loss_mask: 0.4642, decode.d5.loss_dice: 0.6777, decode.d6.loss_cls: 0.1604, decode.d6.loss_mask: 0.4620, decode.d6.loss_dice: 0.6764, decode.d7.loss_cls: 0.1631, decode.d7.loss_mask: 0.4601, decode.d7.loss_dice: 0.6735, decode.d8.loss_cls: 0.1572, decode.d8.loss_mask: 0.4599, decode.d8.loss_dice: 0.6736, loss: 14.3842, grad_norm: 67.4431 2023-11-22 22:06:53,527 - mmseg - INFO - Iter [152800/160000] lr: 4.287e-07, eta: 1:10:16, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1449, decode.loss_mask: 0.4330, decode.loss_dice: 0.6415, decode.d0.loss_cls: 1.2283, decode.d0.loss_mask: 0.4677, decode.d0.loss_dice: 0.7126, decode.d1.loss_cls: 0.2169, decode.d1.loss_mask: 0.4522, decode.d1.loss_dice: 0.6768, decode.d2.loss_cls: 0.1790, decode.d2.loss_mask: 0.4406, decode.d2.loss_dice: 0.6615, decode.d3.loss_cls: 0.1650, decode.d3.loss_mask: 0.4361, decode.d3.loss_dice: 0.6488, decode.d4.loss_cls: 0.1563, decode.d4.loss_mask: 0.4360, decode.d4.loss_dice: 0.6477, decode.d5.loss_cls: 0.1565, decode.d5.loss_mask: 0.4342, decode.d5.loss_dice: 0.6453, decode.d6.loss_cls: 0.1512, decode.d6.loss_mask: 0.4348, decode.d6.loss_dice: 0.6463, decode.d7.loss_cls: 0.1484, decode.d7.loss_mask: 0.4331, decode.d7.loss_dice: 0.6430, decode.d8.loss_cls: 0.1455, decode.d8.loss_mask: 0.4322, decode.d8.loss_dice: 0.6411, loss: 13.6565, grad_norm: 67.7907 2023-11-22 22:07:24,383 - mmseg - INFO - Iter [152850/160000] lr: 4.257e-07, eta: 1:09:47, time: 0.617, data_time: 0.059, memory: 38143, decode.loss_cls: 0.1516, decode.loss_mask: 0.4219, decode.loss_dice: 0.6380, decode.d0.loss_cls: 1.2349, decode.d0.loss_mask: 0.4537, decode.d0.loss_dice: 0.6977, decode.d1.loss_cls: 0.2248, decode.d1.loss_mask: 0.4356, decode.d1.loss_dice: 0.6678, decode.d2.loss_cls: 0.1810, decode.d2.loss_mask: 0.4286, decode.d2.loss_dice: 0.6537, decode.d3.loss_cls: 0.1707, decode.d3.loss_mask: 0.4249, decode.d3.loss_dice: 0.6415, decode.d4.loss_cls: 0.1594, decode.d4.loss_mask: 0.4240, decode.d4.loss_dice: 0.6409, decode.d5.loss_cls: 0.1582, decode.d5.loss_mask: 0.4247, decode.d5.loss_dice: 0.6417, decode.d6.loss_cls: 0.1544, decode.d6.loss_mask: 0.4233, decode.d6.loss_dice: 0.6385, decode.d7.loss_cls: 0.1515, decode.d7.loss_mask: 0.4222, decode.d7.loss_dice: 0.6429, decode.d8.loss_cls: 0.1517, decode.d8.loss_mask: 0.4217, decode.d8.loss_dice: 0.6368, loss: 13.5186, grad_norm: 59.1456 2023-11-22 22:07:52,734 - mmseg - INFO - Iter [152900/160000] lr: 4.227e-07, eta: 1:09:18, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1687, decode.loss_mask: 0.4359, decode.loss_dice: 0.6666, decode.d0.loss_cls: 1.2432, decode.d0.loss_mask: 0.4699, decode.d0.loss_dice: 0.7400, decode.d1.loss_cls: 0.2463, decode.d1.loss_mask: 0.4514, decode.d1.loss_dice: 0.7017, decode.d2.loss_cls: 0.1997, decode.d2.loss_mask: 0.4405, decode.d2.loss_dice: 0.6830, decode.d3.loss_cls: 0.1873, decode.d3.loss_mask: 0.4373, decode.d3.loss_dice: 0.6698, decode.d4.loss_cls: 0.1802, decode.d4.loss_mask: 0.4369, decode.d4.loss_dice: 0.6694, decode.d5.loss_cls: 0.1738, decode.d5.loss_mask: 0.4378, decode.d5.loss_dice: 0.6709, decode.d6.loss_cls: 0.1725, decode.d6.loss_mask: 0.4361, decode.d6.loss_dice: 0.6682, decode.d7.loss_cls: 0.1704, decode.d7.loss_mask: 0.4354, decode.d7.loss_dice: 0.6701, decode.d8.loss_cls: 0.1672, decode.d8.loss_mask: 0.4353, decode.d8.loss_dice: 0.6646, loss: 14.1302, grad_norm: 76.0052 2023-11-22 22:08:20,976 - mmseg - INFO - Iter [152950/160000] lr: 4.197e-07, eta: 1:08:48, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1401, decode.loss_mask: 0.4181, decode.loss_dice: 0.6500, decode.d0.loss_cls: 1.2444, decode.d0.loss_mask: 0.4538, decode.d0.loss_dice: 0.7228, decode.d1.loss_cls: 0.2234, decode.d1.loss_mask: 0.4306, decode.d1.loss_dice: 0.6793, decode.d2.loss_cls: 0.1776, decode.d2.loss_mask: 0.4243, decode.d2.loss_dice: 0.6653, decode.d3.loss_cls: 0.1593, decode.d3.loss_mask: 0.4203, decode.d3.loss_dice: 0.6564, decode.d4.loss_cls: 0.1543, decode.d4.loss_mask: 0.4199, decode.d4.loss_dice: 0.6533, decode.d5.loss_cls: 0.1517, decode.d5.loss_mask: 0.4197, decode.d5.loss_dice: 0.6521, decode.d6.loss_cls: 0.1474, decode.d6.loss_mask: 0.4197, decode.d6.loss_dice: 0.6527, decode.d7.loss_cls: 0.1428, decode.d7.loss_mask: 0.4186, decode.d7.loss_dice: 0.6486, decode.d8.loss_cls: 0.1434, decode.d8.loss_mask: 0.4177, decode.d8.loss_dice: 0.6478, loss: 13.5554, grad_norm: 62.9368 2023-11-22 22:08:49,327 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 22:08:49,327 - mmseg - INFO - Iter [153000/160000] lr: 4.168e-07, eta: 1:08:19, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1625, decode.loss_mask: 0.4219, decode.loss_dice: 0.6623, decode.d0.loss_cls: 1.2498, decode.d0.loss_mask: 0.4545, decode.d0.loss_dice: 0.7359, decode.d1.loss_cls: 0.2442, decode.d1.loss_mask: 0.4372, decode.d1.loss_dice: 0.6917, decode.d2.loss_cls: 0.2001, decode.d2.loss_mask: 0.4317, decode.d2.loss_dice: 0.6734, decode.d3.loss_cls: 0.1834, decode.d3.loss_mask: 0.4261, decode.d3.loss_dice: 0.6648, decode.d4.loss_cls: 0.1767, decode.d4.loss_mask: 0.4237, decode.d4.loss_dice: 0.6636, decode.d5.loss_cls: 0.1769, decode.d5.loss_mask: 0.4242, decode.d5.loss_dice: 0.6621, decode.d6.loss_cls: 0.1670, decode.d6.loss_mask: 0.4235, decode.d6.loss_dice: 0.6639, decode.d7.loss_cls: 0.1654, decode.d7.loss_mask: 0.4222, decode.d7.loss_dice: 0.6590, decode.d8.loss_cls: 0.1644, decode.d8.loss_mask: 0.4220, decode.d8.loss_dice: 0.6621, loss: 13.9161, grad_norm: 66.7141 2023-11-22 22:09:17,614 - mmseg - INFO - Iter [153050/160000] lr: 4.138e-07, eta: 1:07:50, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1618, decode.loss_mask: 0.4205, decode.loss_dice: 0.6374, decode.d0.loss_cls: 1.2410, decode.d0.loss_mask: 0.4540, decode.d0.loss_dice: 0.7103, decode.d1.loss_cls: 0.2334, decode.d1.loss_mask: 0.4389, decode.d1.loss_dice: 0.6723, decode.d2.loss_cls: 0.1973, decode.d2.loss_mask: 0.4314, decode.d2.loss_dice: 0.6559, decode.d3.loss_cls: 0.1757, decode.d3.loss_mask: 0.4287, decode.d3.loss_dice: 0.6488, decode.d4.loss_cls: 0.1735, decode.d4.loss_mask: 0.4258, decode.d4.loss_dice: 0.6425, decode.d5.loss_cls: 0.1743, decode.d5.loss_mask: 0.4241, decode.d5.loss_dice: 0.6392, decode.d6.loss_cls: 0.1675, decode.d6.loss_mask: 0.4220, decode.d6.loss_dice: 0.6406, decode.d7.loss_cls: 0.1639, decode.d7.loss_mask: 0.4221, decode.d7.loss_dice: 0.6445, decode.d8.loss_cls: 0.1641, decode.d8.loss_mask: 0.4210, decode.d8.loss_dice: 0.6383, loss: 13.6708, grad_norm: 63.8116 2023-11-22 22:09:45,768 - mmseg - INFO - Iter [153100/160000] lr: 4.108e-07, eta: 1:07:20, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1474, decode.loss_mask: 0.4187, decode.loss_dice: 0.6356, decode.d0.loss_cls: 1.2171, decode.d0.loss_mask: 0.4534, decode.d0.loss_dice: 0.7099, decode.d1.loss_cls: 0.2249, decode.d1.loss_mask: 0.4338, decode.d1.loss_dice: 0.6661, decode.d2.loss_cls: 0.1786, decode.d2.loss_mask: 0.4258, decode.d2.loss_dice: 0.6558, decode.d3.loss_cls: 0.1668, decode.d3.loss_mask: 0.4211, decode.d3.loss_dice: 0.6427, decode.d4.loss_cls: 0.1584, decode.d4.loss_mask: 0.4197, decode.d4.loss_dice: 0.6422, decode.d5.loss_cls: 0.1517, decode.d5.loss_mask: 0.4186, decode.d5.loss_dice: 0.6408, decode.d6.loss_cls: 0.1526, decode.d6.loss_mask: 0.4172, decode.d6.loss_dice: 0.6381, decode.d7.loss_cls: 0.1503, decode.d7.loss_mask: 0.4167, decode.d7.loss_dice: 0.6368, decode.d8.loss_cls: 0.1477, decode.d8.loss_mask: 0.4170, decode.d8.loss_dice: 0.6383, loss: 13.4439, grad_norm: 64.7915 2023-11-22 22:10:14,332 - mmseg - INFO - Iter [153150/160000] lr: 4.078e-07, eta: 1:06:51, time: 0.571, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1324, decode.loss_mask: 0.4275, decode.loss_dice: 0.6476, decode.d0.loss_cls: 1.2254, decode.d0.loss_mask: 0.4548, decode.d0.loss_dice: 0.7071, decode.d1.loss_cls: 0.2046, decode.d1.loss_mask: 0.4424, decode.d1.loss_dice: 0.6769, decode.d2.loss_cls: 0.1683, decode.d2.loss_mask: 0.4335, decode.d2.loss_dice: 0.6626, decode.d3.loss_cls: 0.1557, decode.d3.loss_mask: 0.4298, decode.d3.loss_dice: 0.6507, decode.d4.loss_cls: 0.1495, decode.d4.loss_mask: 0.4293, decode.d4.loss_dice: 0.6518, decode.d5.loss_cls: 0.1453, decode.d5.loss_mask: 0.4296, decode.d5.loss_dice: 0.6476, decode.d6.loss_cls: 0.1419, decode.d6.loss_mask: 0.4281, decode.d6.loss_dice: 0.6471, decode.d7.loss_cls: 0.1351, decode.d7.loss_mask: 0.4281, decode.d7.loss_dice: 0.6458, decode.d8.loss_cls: 0.1344, decode.d8.loss_mask: 0.4275, decode.d8.loss_dice: 0.6456, loss: 13.5060, grad_norm: 67.0746 2023-11-22 22:10:42,839 - mmseg - INFO - Iter [153200/160000] lr: 4.049e-07, eta: 1:06:22, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1460, decode.loss_mask: 0.4111, decode.loss_dice: 0.6295, decode.d0.loss_cls: 1.2332, decode.d0.loss_mask: 0.4439, decode.d0.loss_dice: 0.6959, decode.d1.loss_cls: 0.2303, decode.d1.loss_mask: 0.4276, decode.d1.loss_dice: 0.6580, decode.d2.loss_cls: 0.1824, decode.d2.loss_mask: 0.4195, decode.d2.loss_dice: 0.6451, decode.d3.loss_cls: 0.1638, decode.d3.loss_mask: 0.4155, decode.d3.loss_dice: 0.6339, decode.d4.loss_cls: 0.1578, decode.d4.loss_mask: 0.4148, decode.d4.loss_dice: 0.6312, decode.d5.loss_cls: 0.1589, decode.d5.loss_mask: 0.4144, decode.d5.loss_dice: 0.6314, decode.d6.loss_cls: 0.1487, decode.d6.loss_mask: 0.4145, decode.d6.loss_dice: 0.6305, decode.d7.loss_cls: 0.1459, decode.d7.loss_mask: 0.4129, decode.d7.loss_dice: 0.6287, decode.d8.loss_cls: 0.1476, decode.d8.loss_mask: 0.4104, decode.d8.loss_dice: 0.6250, loss: 13.3084, grad_norm: 63.5202 2023-11-22 22:11:10,979 - mmseg - INFO - Iter [153250/160000] lr: 4.019e-07, eta: 1:05:52, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1502, decode.loss_mask: 0.4257, decode.loss_dice: 0.6515, decode.d0.loss_cls: 1.2769, decode.d0.loss_mask: 0.4594, decode.d0.loss_dice: 0.7220, decode.d1.loss_cls: 0.2256, decode.d1.loss_mask: 0.4447, decode.d1.loss_dice: 0.6826, decode.d2.loss_cls: 0.1810, decode.d2.loss_mask: 0.4353, decode.d2.loss_dice: 0.6716, decode.d3.loss_cls: 0.1708, decode.d3.loss_mask: 0.4290, decode.d3.loss_dice: 0.6566, decode.d4.loss_cls: 0.1636, decode.d4.loss_mask: 0.4274, decode.d4.loss_dice: 0.6573, decode.d5.loss_cls: 0.1579, decode.d5.loss_mask: 0.4266, decode.d5.loss_dice: 0.6569, decode.d6.loss_cls: 0.1543, decode.d6.loss_mask: 0.4258, decode.d6.loss_dice: 0.6529, decode.d7.loss_cls: 0.1508, decode.d7.loss_mask: 0.4261, decode.d7.loss_dice: 0.6542, decode.d8.loss_cls: 0.1467, decode.d8.loss_mask: 0.4263, decode.d8.loss_dice: 0.6524, loss: 13.7622, grad_norm: 67.9329 2023-11-22 22:11:39,375 - mmseg - INFO - Iter [153300/160000] lr: 3.989e-07, eta: 1:05:23, time: 0.568, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1534, decode.loss_mask: 0.4327, decode.loss_dice: 0.6454, decode.d0.loss_cls: 1.2147, decode.d0.loss_mask: 0.4635, decode.d0.loss_dice: 0.7030, decode.d1.loss_cls: 0.2235, decode.d1.loss_mask: 0.4480, decode.d1.loss_dice: 0.6706, decode.d2.loss_cls: 0.1875, decode.d2.loss_mask: 0.4403, decode.d2.loss_dice: 0.6580, decode.d3.loss_cls: 0.1692, decode.d3.loss_mask: 0.4369, decode.d3.loss_dice: 0.6499, decode.d4.loss_cls: 0.1642, decode.d4.loss_mask: 0.4350, decode.d4.loss_dice: 0.6470, decode.d5.loss_cls: 0.1560, decode.d5.loss_mask: 0.4365, decode.d5.loss_dice: 0.6484, decode.d6.loss_cls: 0.1575, decode.d6.loss_mask: 0.4345, decode.d6.loss_dice: 0.6457, decode.d7.loss_cls: 0.1567, decode.d7.loss_mask: 0.4335, decode.d7.loss_dice: 0.6436, decode.d8.loss_cls: 0.1531, decode.d8.loss_mask: 0.4330, decode.d8.loss_dice: 0.6451, loss: 13.6864, grad_norm: 71.2801 2023-11-22 22:12:07,606 - mmseg - INFO - Iter [153350/160000] lr: 3.959e-07, eta: 1:04:54, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1579, decode.loss_mask: 0.4358, decode.loss_dice: 0.6612, decode.d0.loss_cls: 1.2429, decode.d0.loss_mask: 0.4696, decode.d0.loss_dice: 0.7292, decode.d1.loss_cls: 0.2349, decode.d1.loss_mask: 0.4525, decode.d1.loss_dice: 0.6949, decode.d2.loss_cls: 0.1961, decode.d2.loss_mask: 0.4465, decode.d2.loss_dice: 0.6781, decode.d3.loss_cls: 0.1761, decode.d3.loss_mask: 0.4402, decode.d3.loss_dice: 0.6671, decode.d4.loss_cls: 0.1708, decode.d4.loss_mask: 0.4389, decode.d4.loss_dice: 0.6659, decode.d5.loss_cls: 0.1641, decode.d5.loss_mask: 0.4383, decode.d5.loss_dice: 0.6670, decode.d6.loss_cls: 0.1630, decode.d6.loss_mask: 0.4373, decode.d6.loss_dice: 0.6648, decode.d7.loss_cls: 0.1606, decode.d7.loss_mask: 0.4359, decode.d7.loss_dice: 0.6614, decode.d8.loss_cls: 0.1557, decode.d8.loss_mask: 0.4360, decode.d8.loss_dice: 0.6621, loss: 14.0047, grad_norm: 68.6453 2023-11-22 22:12:35,873 - mmseg - INFO - Iter [153400/160000] lr: 3.930e-07, eta: 1:04:24, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1641, decode.loss_mask: 0.4326, decode.loss_dice: 0.6592, decode.d0.loss_cls: 1.2553, decode.d0.loss_mask: 0.4633, decode.d0.loss_dice: 0.7245, decode.d1.loss_cls: 0.2509, decode.d1.loss_mask: 0.4473, decode.d1.loss_dice: 0.6882, decode.d2.loss_cls: 0.2027, decode.d2.loss_mask: 0.4423, decode.d2.loss_dice: 0.6770, decode.d3.loss_cls: 0.1875, decode.d3.loss_mask: 0.4367, decode.d3.loss_dice: 0.6635, decode.d4.loss_cls: 0.1790, decode.d4.loss_mask: 0.4356, decode.d4.loss_dice: 0.6639, decode.d5.loss_cls: 0.1742, decode.d5.loss_mask: 0.4357, decode.d5.loss_dice: 0.6634, decode.d6.loss_cls: 0.1722, decode.d6.loss_mask: 0.4341, decode.d6.loss_dice: 0.6574, decode.d7.loss_cls: 0.1699, decode.d7.loss_mask: 0.4336, decode.d7.loss_dice: 0.6612, decode.d8.loss_cls: 0.1689, decode.d8.loss_mask: 0.4339, decode.d8.loss_dice: 0.6592, loss: 14.0374, grad_norm: 65.5722 2023-11-22 22:13:04,226 - mmseg - INFO - Iter [153450/160000] lr: 3.900e-07, eta: 1:03:55, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1317, decode.loss_mask: 0.4215, decode.loss_dice: 0.6244, decode.d0.loss_cls: 1.1910, decode.d0.loss_mask: 0.4552, decode.d0.loss_dice: 0.6877, decode.d1.loss_cls: 0.2077, decode.d1.loss_mask: 0.4395, decode.d1.loss_dice: 0.6491, decode.d2.loss_cls: 0.1661, decode.d2.loss_mask: 0.4286, decode.d2.loss_dice: 0.6322, decode.d3.loss_cls: 0.1487, decode.d3.loss_mask: 0.4261, decode.d3.loss_dice: 0.6288, decode.d4.loss_cls: 0.1413, decode.d4.loss_mask: 0.4246, decode.d4.loss_dice: 0.6259, decode.d5.loss_cls: 0.1351, decode.d5.loss_mask: 0.4243, decode.d5.loss_dice: 0.6262, decode.d6.loss_cls: 0.1387, decode.d6.loss_mask: 0.4230, decode.d6.loss_dice: 0.6248, decode.d7.loss_cls: 0.1355, decode.d7.loss_mask: 0.4239, decode.d7.loss_dice: 0.6246, decode.d8.loss_cls: 0.1338, decode.d8.loss_mask: 0.4217, decode.d8.loss_dice: 0.6237, loss: 13.1655, grad_norm: 63.0300 2023-11-22 22:13:32,629 - mmseg - INFO - Iter [153500/160000] lr: 3.870e-07, eta: 1:03:26, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1662, decode.loss_mask: 0.4407, decode.loss_dice: 0.6470, decode.d0.loss_cls: 1.2314, decode.d0.loss_mask: 0.4770, decode.d0.loss_dice: 0.7206, decode.d1.loss_cls: 0.2272, decode.d1.loss_mask: 0.4591, decode.d1.loss_dice: 0.6816, decode.d2.loss_cls: 0.1861, decode.d2.loss_mask: 0.4514, decode.d2.loss_dice: 0.6698, decode.d3.loss_cls: 0.1782, decode.d3.loss_mask: 0.4462, decode.d3.loss_dice: 0.6554, decode.d4.loss_cls: 0.1725, decode.d4.loss_mask: 0.4439, decode.d4.loss_dice: 0.6536, decode.d5.loss_cls: 0.1695, decode.d5.loss_mask: 0.4449, decode.d5.loss_dice: 0.6549, decode.d6.loss_cls: 0.1640, decode.d6.loss_mask: 0.4427, decode.d6.loss_dice: 0.6521, decode.d7.loss_cls: 0.1656, decode.d7.loss_mask: 0.4417, decode.d7.loss_dice: 0.6513, decode.d8.loss_cls: 0.1638, decode.d8.loss_mask: 0.4434, decode.d8.loss_dice: 0.6516, loss: 13.9534, grad_norm: 74.0378 2023-11-22 22:14:00,892 - mmseg - INFO - Iter [153550/160000] lr: 3.840e-07, eta: 1:02:56, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1478, decode.loss_mask: 0.4290, decode.loss_dice: 0.6264, decode.d0.loss_cls: 1.2296, decode.d0.loss_mask: 0.4609, decode.d0.loss_dice: 0.6975, decode.d1.loss_cls: 0.2231, decode.d1.loss_mask: 0.4456, decode.d1.loss_dice: 0.6596, decode.d2.loss_cls: 0.1876, decode.d2.loss_mask: 0.4388, decode.d2.loss_dice: 0.6473, decode.d3.loss_cls: 0.1691, decode.d3.loss_mask: 0.4336, decode.d3.loss_dice: 0.6327, decode.d4.loss_cls: 0.1602, decode.d4.loss_mask: 0.4325, decode.d4.loss_dice: 0.6302, decode.d5.loss_cls: 0.1558, decode.d5.loss_mask: 0.4329, decode.d5.loss_dice: 0.6358, decode.d6.loss_cls: 0.1515, decode.d6.loss_mask: 0.4312, decode.d6.loss_dice: 0.6289, decode.d7.loss_cls: 0.1519, decode.d7.loss_mask: 0.4285, decode.d7.loss_dice: 0.6263, decode.d8.loss_cls: 0.1500, decode.d8.loss_mask: 0.4290, decode.d8.loss_dice: 0.6288, loss: 13.5019, grad_norm: 63.8525 2023-11-22 22:14:29,248 - mmseg - INFO - Iter [153600/160000] lr: 3.811e-07, eta: 1:02:27, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1643, decode.loss_mask: 0.4410, decode.loss_dice: 0.6888, decode.d0.loss_cls: 1.2678, decode.d0.loss_mask: 0.4732, decode.d0.loss_dice: 0.7643, decode.d1.loss_cls: 0.2438, decode.d1.loss_mask: 0.4544, decode.d1.loss_dice: 0.7187, decode.d2.loss_cls: 0.2045, decode.d2.loss_mask: 0.4463, decode.d2.loss_dice: 0.7065, decode.d3.loss_cls: 0.1853, decode.d3.loss_mask: 0.4440, decode.d3.loss_dice: 0.6927, decode.d4.loss_cls: 0.1795, decode.d4.loss_mask: 0.4433, decode.d4.loss_dice: 0.6905, decode.d5.loss_cls: 0.1784, decode.d5.loss_mask: 0.4428, decode.d5.loss_dice: 0.6909, decode.d6.loss_cls: 0.1710, decode.d6.loss_mask: 0.4411, decode.d6.loss_dice: 0.6873, decode.d7.loss_cls: 0.1629, decode.d7.loss_mask: 0.4405, decode.d7.loss_dice: 0.6934, decode.d8.loss_cls: 0.1663, decode.d8.loss_mask: 0.4405, decode.d8.loss_dice: 0.6912, loss: 14.4150, grad_norm: 68.3196 2023-11-22 22:14:57,397 - mmseg - INFO - Iter [153650/160000] lr: 3.781e-07, eta: 1:01:58, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1442, decode.loss_mask: 0.4199, decode.loss_dice: 0.6418, decode.d0.loss_cls: 1.2104, decode.d0.loss_mask: 0.4536, decode.d0.loss_dice: 0.7061, decode.d1.loss_cls: 0.2233, decode.d1.loss_mask: 0.4360, decode.d1.loss_dice: 0.6730, decode.d2.loss_cls: 0.1806, decode.d2.loss_mask: 0.4276, decode.d2.loss_dice: 0.6563, decode.d3.loss_cls: 0.1639, decode.d3.loss_mask: 0.4230, decode.d3.loss_dice: 0.6494, decode.d4.loss_cls: 0.1586, decode.d4.loss_mask: 0.4217, decode.d4.loss_dice: 0.6456, decode.d5.loss_cls: 0.1544, decode.d5.loss_mask: 0.4224, decode.d5.loss_dice: 0.6462, decode.d6.loss_cls: 0.1501, decode.d6.loss_mask: 0.4207, decode.d6.loss_dice: 0.6435, decode.d7.loss_cls: 0.1454, decode.d7.loss_mask: 0.4218, decode.d7.loss_dice: 0.6420, decode.d8.loss_cls: 0.1469, decode.d8.loss_mask: 0.4204, decode.d8.loss_dice: 0.6412, loss: 13.4904, grad_norm: 65.0164 2023-11-22 22:15:25,622 - mmseg - INFO - Iter [153700/160000] lr: 3.751e-07, eta: 1:01:28, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1564, decode.loss_mask: 0.4216, decode.loss_dice: 0.6605, decode.d0.loss_cls: 1.2483, decode.d0.loss_mask: 0.4522, decode.d0.loss_dice: 0.7281, decode.d1.loss_cls: 0.2344, decode.d1.loss_mask: 0.4393, decode.d1.loss_dice: 0.6955, decode.d2.loss_cls: 0.1932, decode.d2.loss_mask: 0.4293, decode.d2.loss_dice: 0.6778, decode.d3.loss_cls: 0.1698, decode.d3.loss_mask: 0.4246, decode.d3.loss_dice: 0.6668, decode.d4.loss_cls: 0.1630, decode.d4.loss_mask: 0.4260, decode.d4.loss_dice: 0.6688, decode.d5.loss_cls: 0.1639, decode.d5.loss_mask: 0.4239, decode.d5.loss_dice: 0.6651, decode.d6.loss_cls: 0.1605, decode.d6.loss_mask: 0.4220, decode.d6.loss_dice: 0.6618, decode.d7.loss_cls: 0.1590, decode.d7.loss_mask: 0.4218, decode.d7.loss_dice: 0.6636, decode.d8.loss_cls: 0.1557, decode.d8.loss_mask: 0.4226, decode.d8.loss_dice: 0.6621, loss: 13.8377, grad_norm: 64.9508 2023-11-22 22:15:54,010 - mmseg - INFO - Iter [153750/160000] lr: 3.721e-07, eta: 1:00:59, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1589, decode.loss_mask: 0.4447, decode.loss_dice: 0.6459, decode.d0.loss_cls: 1.2282, decode.d0.loss_mask: 0.4773, decode.d0.loss_dice: 0.7098, decode.d1.loss_cls: 0.2415, decode.d1.loss_mask: 0.4592, decode.d1.loss_dice: 0.6739, decode.d2.loss_cls: 0.1939, decode.d2.loss_mask: 0.4504, decode.d2.loss_dice: 0.6628, decode.d3.loss_cls: 0.1768, decode.d3.loss_mask: 0.4481, decode.d3.loss_dice: 0.6500, decode.d4.loss_cls: 0.1701, decode.d4.loss_mask: 0.4467, decode.d4.loss_dice: 0.6485, decode.d5.loss_cls: 0.1647, decode.d5.loss_mask: 0.4466, decode.d5.loss_dice: 0.6468, decode.d6.loss_cls: 0.1663, decode.d6.loss_mask: 0.4453, decode.d6.loss_dice: 0.6449, decode.d7.loss_cls: 0.1646, decode.d7.loss_mask: 0.4450, decode.d7.loss_dice: 0.6441, decode.d8.loss_cls: 0.1606, decode.d8.loss_mask: 0.4453, decode.d8.loss_dice: 0.6444, loss: 13.9054, grad_norm: 65.5752 2023-11-22 22:16:22,400 - mmseg - INFO - Iter [153800/160000] lr: 3.691e-07, eta: 1:00:30, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1483, decode.loss_mask: 0.4146, decode.loss_dice: 0.6476, decode.d0.loss_cls: 1.2591, decode.d0.loss_mask: 0.4486, decode.d0.loss_dice: 0.7154, decode.d1.loss_cls: 0.2350, decode.d1.loss_mask: 0.4300, decode.d1.loss_dice: 0.6787, decode.d2.loss_cls: 0.1853, decode.d2.loss_mask: 0.4212, decode.d2.loss_dice: 0.6603, decode.d3.loss_cls: 0.1708, decode.d3.loss_mask: 0.4179, decode.d3.loss_dice: 0.6522, decode.d4.loss_cls: 0.1606, decode.d4.loss_mask: 0.4172, decode.d4.loss_dice: 0.6476, decode.d5.loss_cls: 0.1536, decode.d5.loss_mask: 0.4177, decode.d5.loss_dice: 0.6484, decode.d6.loss_cls: 0.1507, decode.d6.loss_mask: 0.4165, decode.d6.loss_dice: 0.6440, decode.d7.loss_cls: 0.1452, decode.d7.loss_mask: 0.4162, decode.d7.loss_dice: 0.6477, decode.d8.loss_cls: 0.1491, decode.d8.loss_mask: 0.4150, decode.d8.loss_dice: 0.6416, loss: 13.5562, grad_norm: 60.7599 2023-11-22 22:16:50,597 - mmseg - INFO - Iter [153850/160000] lr: 3.662e-07, eta: 1:00:00, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1358, decode.loss_mask: 0.4168, decode.loss_dice: 0.6171, decode.d0.loss_cls: 1.2426, decode.d0.loss_mask: 0.4505, decode.d0.loss_dice: 0.6865, decode.d1.loss_cls: 0.2133, decode.d1.loss_mask: 0.4316, decode.d1.loss_dice: 0.6464, decode.d2.loss_cls: 0.1713, decode.d2.loss_mask: 0.4217, decode.d2.loss_dice: 0.6296, decode.d3.loss_cls: 0.1514, decode.d3.loss_mask: 0.4195, decode.d3.loss_dice: 0.6206, decode.d4.loss_cls: 0.1444, decode.d4.loss_mask: 0.4192, decode.d4.loss_dice: 0.6172, decode.d5.loss_cls: 0.1414, decode.d5.loss_mask: 0.4190, decode.d5.loss_dice: 0.6216, decode.d6.loss_cls: 0.1400, decode.d6.loss_mask: 0.4175, decode.d6.loss_dice: 0.6134, decode.d7.loss_cls: 0.1417, decode.d7.loss_mask: 0.4178, decode.d7.loss_dice: 0.6179, decode.d8.loss_cls: 0.1392, decode.d8.loss_mask: 0.4169, decode.d8.loss_dice: 0.6140, loss: 13.1359, grad_norm: 57.7875 2023-11-22 22:17:18,819 - mmseg - INFO - Iter [153900/160000] lr: 3.632e-07, eta: 0:59:31, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1649, decode.loss_mask: 0.4454, decode.loss_dice: 0.6402, decode.d0.loss_cls: 1.2394, decode.d0.loss_mask: 0.4782, decode.d0.loss_dice: 0.7155, decode.d1.loss_cls: 0.2372, decode.d1.loss_mask: 0.4572, decode.d1.loss_dice: 0.6729, decode.d2.loss_cls: 0.1968, decode.d2.loss_mask: 0.4502, decode.d2.loss_dice: 0.6576, decode.d3.loss_cls: 0.1821, decode.d3.loss_mask: 0.4487, decode.d3.loss_dice: 0.6484, decode.d4.loss_cls: 0.1746, decode.d4.loss_mask: 0.4459, decode.d4.loss_dice: 0.6439, decode.d5.loss_cls: 0.1709, decode.d5.loss_mask: 0.4459, decode.d5.loss_dice: 0.6417, decode.d6.loss_cls: 0.1688, decode.d6.loss_mask: 0.4457, decode.d6.loss_dice: 0.6384, decode.d7.loss_cls: 0.1644, decode.d7.loss_mask: 0.4461, decode.d7.loss_dice: 0.6411, decode.d8.loss_cls: 0.1632, decode.d8.loss_mask: 0.4452, decode.d8.loss_dice: 0.6403, loss: 13.9107, grad_norm: 79.3139 2023-11-22 22:17:47,119 - mmseg - INFO - Iter [153950/160000] lr: 3.602e-07, eta: 0:59:02, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1433, decode.loss_mask: 0.4074, decode.loss_dice: 0.6287, decode.d0.loss_cls: 1.2142, decode.d0.loss_mask: 0.4396, decode.d0.loss_dice: 0.6927, decode.d1.loss_cls: 0.2140, decode.d1.loss_mask: 0.4230, decode.d1.loss_dice: 0.6618, decode.d2.loss_cls: 0.1682, decode.d2.loss_mask: 0.4153, decode.d2.loss_dice: 0.6501, decode.d3.loss_cls: 0.1522, decode.d3.loss_mask: 0.4119, decode.d3.loss_dice: 0.6387, decode.d4.loss_cls: 0.1497, decode.d4.loss_mask: 0.4112, decode.d4.loss_dice: 0.6372, decode.d5.loss_cls: 0.1468, decode.d5.loss_mask: 0.4095, decode.d5.loss_dice: 0.6348, decode.d6.loss_cls: 0.1425, decode.d6.loss_mask: 0.4098, decode.d6.loss_dice: 0.6364, decode.d7.loss_cls: 0.1450, decode.d7.loss_mask: 0.4080, decode.d7.loss_dice: 0.6336, decode.d8.loss_cls: 0.1405, decode.d8.loss_mask: 0.4076, decode.d8.loss_dice: 0.6331, loss: 13.2069, grad_norm: 60.7803 2023-11-22 22:18:15,415 - mmseg - INFO - Saving checkpoint at 154000 iterations 2023-11-22 22:18:23,166 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 22:18:23,167 - mmseg - INFO - Iter [154000/160000] lr: 3.572e-07, eta: 0:58:33, time: 0.721, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1564, decode.loss_mask: 0.4258, decode.loss_dice: 0.6617, decode.d0.loss_cls: 1.2410, decode.d0.loss_mask: 0.4571, decode.d0.loss_dice: 0.7268, decode.d1.loss_cls: 0.2308, decode.d1.loss_mask: 0.4428, decode.d1.loss_dice: 0.6955, decode.d2.loss_cls: 0.1834, decode.d2.loss_mask: 0.4367, decode.d2.loss_dice: 0.6823, decode.d3.loss_cls: 0.1739, decode.d3.loss_mask: 0.4312, decode.d3.loss_dice: 0.6689, decode.d4.loss_cls: 0.1668, decode.d4.loss_mask: 0.4294, decode.d4.loss_dice: 0.6657, decode.d5.loss_cls: 0.1611, decode.d5.loss_mask: 0.4283, decode.d5.loss_dice: 0.6625, decode.d6.loss_cls: 0.1583, decode.d6.loss_mask: 0.4275, decode.d6.loss_dice: 0.6591, decode.d7.loss_cls: 0.1583, decode.d7.loss_mask: 0.4271, decode.d7.loss_dice: 0.6630, decode.d8.loss_cls: 0.1588, decode.d8.loss_mask: 0.4262, decode.d8.loss_dice: 0.6568, loss: 13.8635, grad_norm: 63.4740 2023-11-22 22:18:42,614 - mmseg - INFO - per class results: 2023-11-22 22:18:42,619 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.34 | 88.53 | | building | 84.22 | 91.4 | | sky | 95.05 | 97.78 | | floor | 84.21 | 91.22 | | tree | 76.1 | 88.56 | | ceiling | 86.0 | 92.83 | | road | 86.65 | 92.25 | | bed | 91.93 | 95.9 | | windowpane | 65.47 | 81.22 | | grass | 69.05 | 81.32 | | cabinet | 64.32 | 75.12 | | sidewalk | 69.86 | 81.02 | | person | 86.34 | 94.13 | | earth | 39.66 | 55.41 | | door | 55.17 | 70.68 | | table | 70.28 | 83.69 | | mountain | 59.12 | 75.24 | | plant | 54.9 | 66.63 | | curtain | 74.84 | 88.11 | | chair | 64.81 | 76.74 | | car | 88.06 | 93.87 | | water | 50.65 | 61.02 | | painting | 77.1 | 91.18 | | sofa | 77.03 | 88.94 | | shelf | 46.44 | 60.54 | | house | 51.07 | 81.53 | | sea | 57.21 | 84.38 | | mirror | 74.93 | 84.01 | | rug | 68.34 | 80.84 | | field | 35.78 | 58.91 | | armchair | 55.32 | 74.6 | | seat | 65.07 | 86.23 | | fence | 55.93 | 70.6 | | desk | 58.3 | 79.04 | | rock | 51.93 | 69.09 | | wardrobe | 47.87 | 68.55 | | lamp | 74.15 | 84.46 | | bathtub | 78.63 | 86.42 | | railing | 39.29 | 55.27 | | cushion | 66.97 | 76.6 | | base | 40.57 | 69.41 | | box | 33.97 | 44.56 | | column | 52.26 | 69.71 | | signboard | 40.6 | 57.55 | | chest of drawers | 37.86 | 62.89 | | counter | 46.42 | 57.18 | | sand | 39.69 | 57.57 | | sink | 78.4 | 85.63 | | skyscraper | 61.11 | 77.16 | | fireplace | 72.68 | 90.39 | | refrigerator | 76.92 | 83.47 | | grandstand | 45.5 | 76.38 | | path | 24.84 | 46.96 | | stairs | 32.55 | 38.2 | | runway | 73.01 | 93.35 | | case | 54.4 | 75.64 | | pool table | 95.38 | 97.76 | | pillow | 67.9 | 80.79 | | screen door | 80.28 | 89.87 | | stairway | 36.47 | 54.22 | | river | 7.9 | 21.2 | | bridge | 78.79 | 91.23 | | bookcase | 29.97 | 51.18 | | blind | 43.02 | 51.36 | | coffee table | 71.98 | 86.18 | | toilet | 91.29 | 93.82 | | flower | 42.34 | 63.99 | | book | 53.45 | 76.68 | | hill | 9.41 | 16.02 | | bench | 64.28 | 73.96 | | countertop | 61.33 | 76.16 | | stove | 85.25 | 88.17 | | palm | 54.65 | 81.53 | | kitchen island | 55.82 | 89.86 | | computer | 73.05 | 81.78 | | swivel chair | 44.02 | 64.31 | | boat | 37.46 | 56.8 | | bar | 65.09 | 72.34 | | arcade machine | 75.51 | 80.3 | | hovel | 69.03 | 75.86 | | bus | 85.03 | 97.28 | | towel | 76.55 | 87.63 | | light | 66.75 | 79.65 | | truck | 22.8 | 26.96 | | tower | 34.33 | 58.32 | | chandelier | 71.8 | 84.19 | | awning | 38.51 | 53.3 | | streetlight | 47.35 | 65.82 | | booth | 52.53 | 68.93 | | television receiver | 78.64 | 88.16 | | airplane | 59.52 | 75.78 | | dirt track | 10.12 | 15.62 | | apparel | 50.37 | 68.3 | | pole | 38.45 | 62.39 | | land | 5.38 | 6.74 | | bannister | 18.01 | 29.3 | | escalator | 51.11 | 62.99 | | ottoman | 58.3 | 77.17 | | bottle | 38.78 | 64.91 | | buffet | 40.43 | 54.03 | | poster | 28.05 | 44.05 | | stage | 25.66 | 47.79 | | van | 45.33 | 69.95 | | ship | 8.56 | 13.94 | | fountain | 21.52 | 21.9 | | conveyer belt | 75.4 | 95.5 | | canopy | 27.19 | 52.68 | | washer | 70.06 | 73.59 | | plaything | 43.58 | 59.48 | | swimming pool | 64.94 | 71.76 | | stool | 50.84 | 70.1 | | barrel | 92.81 | 98.1 | | basket | 43.93 | 56.08 | | waterfall | 76.89 | 86.98 | | tent | 89.67 | 98.22 | | bag | 22.51 | 31.26 | | minibike | 71.33 | 90.62 | | cradle | 90.72 | 97.44 | | oven | 28.91 | 69.98 | | ball | 62.4 | 71.59 | | food | 59.24 | 70.28 | | step | 14.6 | 19.26 | | tank | 60.44 | 66.35 | | trade name | 28.38 | 33.52 | | microwave | 53.71 | 59.21 | | pot | 55.55 | 67.33 | | animal | 58.95 | 60.32 | | bicycle | 61.66 | 79.76 | | lake | 55.66 | 63.62 | | dishwasher | 74.22 | 79.7 | | screen | 57.94 | 91.9 | | blanket | 41.06 | 51.81 | | sculpture | 69.62 | 88.99 | | hood | 73.51 | 78.23 | | sconce | 61.82 | 76.01 | | vase | 56.57 | 73.87 | | traffic light | 48.74 | 72.67 | | tray | 20.61 | 31.56 | | ashcan | 51.42 | 74.64 | | fan | 71.79 | 85.1 | | pier | 13.98 | 14.99 | | crt screen | 2.31 | 7.05 | | plate | 63.38 | 81.12 | | monitor | 10.16 | 13.32 | | bulletin board | 57.74 | 80.62 | | shower | 17.42 | 25.36 | | radiator | 68.9 | 83.82 | | glass | 24.16 | 26.63 | | clock | 55.33 | 69.48 | | flag | 72.49 | 84.01 | +---------------------+-------+-------+ 2023-11-22 22:18:42,619 - mmseg - INFO - Summary: 2023-11-22 22:18:42,619 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 85.16 | 55.53 | 69.1 | +-------+-------+------+ 2023-11-22 22:18:42,620 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 22:18:42,620 - mmseg - INFO - Iter(val) [250] aAcc: 0.8516, mIoU: 0.5553, mAcc: 0.6910, IoU.wall: 0.8134, IoU.building: 0.8422, IoU.sky: 0.9505, IoU.floor: 0.8421, IoU.tree: 0.7610, IoU.ceiling: 0.8600, IoU.road: 0.8665, IoU.bed : 0.9193, IoU.windowpane: 0.6547, IoU.grass: 0.6905, IoU.cabinet: 0.6432, IoU.sidewalk: 0.6986, IoU.person: 0.8634, IoU.earth: 0.3966, IoU.door: 0.5517, IoU.table: 0.7028, IoU.mountain: 0.5912, IoU.plant: 0.5490, IoU.curtain: 0.7484, IoU.chair: 0.6481, IoU.car: 0.8806, IoU.water: 0.5065, IoU.painting: 0.7710, IoU.sofa: 0.7703, IoU.shelf: 0.4644, IoU.house: 0.5107, IoU.sea: 0.5721, IoU.mirror: 0.7493, IoU.rug: 0.6834, IoU.field: 0.3578, IoU.armchair: 0.5532, IoU.seat: 0.6507, IoU.fence: 0.5593, IoU.desk: 0.5830, IoU.rock: 0.5193, IoU.wardrobe: 0.4787, IoU.lamp: 0.7415, IoU.bathtub: 0.7863, IoU.railing: 0.3929, IoU.cushion: 0.6697, IoU.base: 0.4057, IoU.box: 0.3397, IoU.column: 0.5226, IoU.signboard: 0.4060, IoU.chest of drawers: 0.3786, IoU.counter: 0.4642, IoU.sand: 0.3969, IoU.sink: 0.7840, IoU.skyscraper: 0.6111, IoU.fireplace: 0.7268, IoU.refrigerator: 0.7692, IoU.grandstand: 0.4550, IoU.path: 0.2484, IoU.stairs: 0.3255, IoU.runway: 0.7301, IoU.case: 0.5440, IoU.pool table: 0.9538, IoU.pillow: 0.6790, IoU.screen door: 0.8028, IoU.stairway: 0.3647, IoU.river: 0.0790, IoU.bridge: 0.7879, IoU.bookcase: 0.2997, IoU.blind: 0.4302, IoU.coffee table: 0.7198, IoU.toilet: 0.9129, IoU.flower: 0.4234, IoU.book: 0.5345, IoU.hill: 0.0941, IoU.bench: 0.6428, IoU.countertop: 0.6133, IoU.stove: 0.8525, IoU.palm: 0.5465, IoU.kitchen island: 0.5582, IoU.computer: 0.7305, IoU.swivel chair: 0.4402, IoU.boat: 0.3746, IoU.bar: 0.6509, IoU.arcade machine: 0.7551, IoU.hovel: 0.6903, IoU.bus: 0.8503, IoU.towel: 0.7655, IoU.light: 0.6675, IoU.truck: 0.2280, IoU.tower: 0.3433, IoU.chandelier: 0.7180, IoU.awning: 0.3851, IoU.streetlight: 0.4735, IoU.booth: 0.5253, IoU.television receiver: 0.7864, IoU.airplane: 0.5952, IoU.dirt track: 0.1012, IoU.apparel: 0.5037, IoU.pole: 0.3845, IoU.land: 0.0538, IoU.bannister: 0.1801, IoU.escalator: 0.5111, IoU.ottoman: 0.5830, IoU.bottle: 0.3878, IoU.buffet: 0.4043, IoU.poster: 0.2805, IoU.stage: 0.2566, IoU.van: 0.4533, IoU.ship: 0.0856, IoU.fountain: 0.2152, IoU.conveyer belt: 0.7540, IoU.canopy: 0.2719, IoU.washer: 0.7006, IoU.plaything: 0.4358, IoU.swimming pool: 0.6494, IoU.stool: 0.5084, IoU.barrel: 0.9281, IoU.basket: 0.4393, IoU.waterfall: 0.7689, IoU.tent: 0.8967, IoU.bag: 0.2251, IoU.minibike: 0.7133, IoU.cradle: 0.9072, IoU.oven: 0.2891, IoU.ball: 0.6240, IoU.food: 0.5924, IoU.step: 0.1460, IoU.tank: 0.6044, IoU.trade name: 0.2838, IoU.microwave: 0.5371, IoU.pot: 0.5555, IoU.animal: 0.5895, IoU.bicycle: 0.6166, IoU.lake: 0.5566, IoU.dishwasher: 0.7422, IoU.screen: 0.5794, IoU.blanket: 0.4106, IoU.sculpture: 0.6962, IoU.hood: 0.7351, IoU.sconce: 0.6182, IoU.vase: 0.5657, IoU.traffic light: 0.4874, IoU.tray: 0.2061, IoU.ashcan: 0.5142, IoU.fan: 0.7179, IoU.pier: 0.1398, IoU.crt screen: 0.0231, IoU.plate: 0.6338, IoU.monitor: 0.1016, IoU.bulletin board: 0.5774, IoU.shower: 0.1742, IoU.radiator: 0.6890, IoU.glass: 0.2416, IoU.clock: 0.5533, IoU.flag: 0.7249, Acc.wall: 0.8853, Acc.building: 0.9140, Acc.sky: 0.9778, Acc.floor: 0.9122, Acc.tree: 0.8856, Acc.ceiling: 0.9283, Acc.road: 0.9225, Acc.bed : 0.9590, Acc.windowpane: 0.8122, Acc.grass: 0.8132, Acc.cabinet: 0.7512, Acc.sidewalk: 0.8102, Acc.person: 0.9413, Acc.earth: 0.5541, Acc.door: 0.7068, Acc.table: 0.8369, Acc.mountain: 0.7524, Acc.plant: 0.6663, Acc.curtain: 0.8811, Acc.chair: 0.7674, Acc.car: 0.9387, Acc.water: 0.6102, Acc.painting: 0.9118, Acc.sofa: 0.8894, Acc.shelf: 0.6054, Acc.house: 0.8153, Acc.sea: 0.8438, Acc.mirror: 0.8401, Acc.rug: 0.8084, Acc.field: 0.5891, Acc.armchair: 0.7460, Acc.seat: 0.8623, Acc.fence: 0.7060, Acc.desk: 0.7904, Acc.rock: 0.6909, Acc.wardrobe: 0.6855, Acc.lamp: 0.8446, Acc.bathtub: 0.8642, Acc.railing: 0.5527, Acc.cushion: 0.7660, Acc.base: 0.6941, Acc.box: 0.4456, Acc.column: 0.6971, Acc.signboard: 0.5755, Acc.chest of drawers: 0.6289, Acc.counter: 0.5718, Acc.sand: 0.5757, Acc.sink: 0.8563, Acc.skyscraper: 0.7716, Acc.fireplace: 0.9039, Acc.refrigerator: 0.8347, Acc.grandstand: 0.7638, Acc.path: 0.4696, Acc.stairs: 0.3820, Acc.runway: 0.9335, Acc.case: 0.7564, Acc.pool table: 0.9776, Acc.pillow: 0.8079, Acc.screen door: 0.8987, Acc.stairway: 0.5422, Acc.river: 0.2120, Acc.bridge: 0.9123, Acc.bookcase: 0.5118, Acc.blind: 0.5136, Acc.coffee table: 0.8618, Acc.toilet: 0.9382, Acc.flower: 0.6399, Acc.book: 0.7668, Acc.hill: 0.1602, Acc.bench: 0.7396, Acc.countertop: 0.7616, Acc.stove: 0.8817, Acc.palm: 0.8153, Acc.kitchen island: 0.8986, Acc.computer: 0.8178, Acc.swivel chair: 0.6431, Acc.boat: 0.5680, Acc.bar: 0.7234, Acc.arcade machine: 0.8030, Acc.hovel: 0.7586, Acc.bus: 0.9728, Acc.towel: 0.8763, Acc.light: 0.7965, Acc.truck: 0.2696, Acc.tower: 0.5832, Acc.chandelier: 0.8419, Acc.awning: 0.5330, Acc.streetlight: 0.6582, Acc.booth: 0.6893, Acc.television receiver: 0.8816, Acc.airplane: 0.7578, Acc.dirt track: 0.1562, Acc.apparel: 0.6830, Acc.pole: 0.6239, Acc.land: 0.0674, Acc.bannister: 0.2930, Acc.escalator: 0.6299, Acc.ottoman: 0.7717, Acc.bottle: 0.6491, Acc.buffet: 0.5403, Acc.poster: 0.4405, Acc.stage: 0.4779, Acc.van: 0.6995, Acc.ship: 0.1394, Acc.fountain: 0.2190, Acc.conveyer belt: 0.9550, Acc.canopy: 0.5268, Acc.washer: 0.7359, Acc.plaything: 0.5948, Acc.swimming pool: 0.7176, Acc.stool: 0.7010, Acc.barrel: 0.9810, Acc.basket: 0.5608, Acc.waterfall: 0.8698, Acc.tent: 0.9822, Acc.bag: 0.3126, Acc.minibike: 0.9062, Acc.cradle: 0.9744, Acc.oven: 0.6998, Acc.ball: 0.7159, Acc.food: 0.7028, Acc.step: 0.1926, Acc.tank: 0.6635, Acc.trade name: 0.3352, Acc.microwave: 0.5921, Acc.pot: 0.6733, Acc.animal: 0.6032, Acc.bicycle: 0.7976, Acc.lake: 0.6362, Acc.dishwasher: 0.7970, Acc.screen: 0.9190, Acc.blanket: 0.5181, Acc.sculpture: 0.8899, Acc.hood: 0.7823, Acc.sconce: 0.7601, Acc.vase: 0.7387, Acc.traffic light: 0.7267, Acc.tray: 0.3156, Acc.ashcan: 0.7464, Acc.fan: 0.8510, Acc.pier: 0.1499, Acc.crt screen: 0.0705, Acc.plate: 0.8112, Acc.monitor: 0.1332, Acc.bulletin board: 0.8062, Acc.shower: 0.2536, Acc.radiator: 0.8382, Acc.glass: 0.2663, Acc.clock: 0.6948, Acc.flag: 0.8401 2023-11-22 22:19:10,929 - mmseg - INFO - Iter [154050/160000] lr: 3.543e-07, eta: 0:58:04, time: 0.955, data_time: 0.402, memory: 38143, decode.loss_cls: 0.1519, decode.loss_mask: 0.4355, decode.loss_dice: 0.6519, decode.d0.loss_cls: 1.2335, decode.d0.loss_mask: 0.4693, decode.d0.loss_dice: 0.7189, decode.d1.loss_cls: 0.2258, decode.d1.loss_mask: 0.4488, decode.d1.loss_dice: 0.6862, decode.d2.loss_cls: 0.1860, decode.d2.loss_mask: 0.4403, decode.d2.loss_dice: 0.6728, decode.d3.loss_cls: 0.1719, decode.d3.loss_mask: 0.4375, decode.d3.loss_dice: 0.6559, decode.d4.loss_cls: 0.1627, decode.d4.loss_mask: 0.4364, decode.d4.loss_dice: 0.6561, decode.d5.loss_cls: 0.1602, decode.d5.loss_mask: 0.4359, decode.d5.loss_dice: 0.6578, decode.d6.loss_cls: 0.1595, decode.d6.loss_mask: 0.4370, decode.d6.loss_dice: 0.6545, decode.d7.loss_cls: 0.1543, decode.d7.loss_mask: 0.4359, decode.d7.loss_dice: 0.6520, decode.d8.loss_cls: 0.1543, decode.d8.loss_mask: 0.4363, decode.d8.loss_dice: 0.6548, loss: 13.8337, grad_norm: 63.3880 2023-11-22 22:19:41,605 - mmseg - INFO - Iter [154100/160000] lr: 3.513e-07, eta: 0:57:35, time: 0.614, data_time: 0.059, memory: 38143, decode.loss_cls: 0.1552, decode.loss_mask: 0.4210, decode.loss_dice: 0.6573, decode.d0.loss_cls: 1.2719, decode.d0.loss_mask: 0.4535, decode.d0.loss_dice: 0.7375, decode.d1.loss_cls: 0.2369, decode.d1.loss_mask: 0.4360, decode.d1.loss_dice: 0.6910, decode.d2.loss_cls: 0.1966, decode.d2.loss_mask: 0.4279, decode.d2.loss_dice: 0.6742, decode.d3.loss_cls: 0.1782, decode.d3.loss_mask: 0.4256, decode.d3.loss_dice: 0.6701, decode.d4.loss_cls: 0.1689, decode.d4.loss_mask: 0.4240, decode.d4.loss_dice: 0.6669, decode.d5.loss_cls: 0.1661, decode.d5.loss_mask: 0.4237, decode.d5.loss_dice: 0.6653, decode.d6.loss_cls: 0.1566, decode.d6.loss_mask: 0.4239, decode.d6.loss_dice: 0.6652, decode.d7.loss_cls: 0.1560, decode.d7.loss_mask: 0.4230, decode.d7.loss_dice: 0.6622, decode.d8.loss_cls: 0.1511, decode.d8.loss_mask: 0.4219, decode.d8.loss_dice: 0.6617, loss: 13.8695, grad_norm: 63.5227 2023-11-22 22:20:09,828 - mmseg - INFO - Iter [154150/160000] lr: 3.483e-07, eta: 0:57:06, time: 0.564, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1540, decode.loss_mask: 0.4064, decode.loss_dice: 0.6248, decode.d0.loss_cls: 1.2655, decode.d0.loss_mask: 0.4388, decode.d0.loss_dice: 0.6962, decode.d1.loss_cls: 0.2330, decode.d1.loss_mask: 0.4176, decode.d1.loss_dice: 0.6558, decode.d2.loss_cls: 0.1840, decode.d2.loss_mask: 0.4107, decode.d2.loss_dice: 0.6427, decode.d3.loss_cls: 0.1715, decode.d3.loss_mask: 0.4102, decode.d3.loss_dice: 0.6331, decode.d4.loss_cls: 0.1647, decode.d4.loss_mask: 0.4082, decode.d4.loss_dice: 0.6319, decode.d5.loss_cls: 0.1579, decode.d5.loss_mask: 0.4085, decode.d5.loss_dice: 0.6286, decode.d6.loss_cls: 0.1567, decode.d6.loss_mask: 0.4082, decode.d6.loss_dice: 0.6271, decode.d7.loss_cls: 0.1514, decode.d7.loss_mask: 0.4078, decode.d7.loss_dice: 0.6245, decode.d8.loss_cls: 0.1497, decode.d8.loss_mask: 0.4080, decode.d8.loss_dice: 0.6281, loss: 13.3054, grad_norm: 61.7744 2023-11-22 22:20:38,036 - mmseg - INFO - Iter [154200/160000] lr: 3.453e-07, eta: 0:56:36, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1487, decode.loss_mask: 0.4331, decode.loss_dice: 0.6595, decode.d0.loss_cls: 1.2403, decode.d0.loss_mask: 0.4676, decode.d0.loss_dice: 0.7317, decode.d1.loss_cls: 0.2233, decode.d1.loss_mask: 0.4519, decode.d1.loss_dice: 0.6900, decode.d2.loss_cls: 0.1779, decode.d2.loss_mask: 0.4420, decode.d2.loss_dice: 0.6771, decode.d3.loss_cls: 0.1673, decode.d3.loss_mask: 0.4375, decode.d3.loss_dice: 0.6662, decode.d4.loss_cls: 0.1587, decode.d4.loss_mask: 0.4379, decode.d4.loss_dice: 0.6655, decode.d5.loss_cls: 0.1549, decode.d5.loss_mask: 0.4367, decode.d5.loss_dice: 0.6629, decode.d6.loss_cls: 0.1527, decode.d6.loss_mask: 0.4344, decode.d6.loss_dice: 0.6566, decode.d7.loss_cls: 0.1532, decode.d7.loss_mask: 0.4340, decode.d7.loss_dice: 0.6586, decode.d8.loss_cls: 0.1482, decode.d8.loss_mask: 0.4338, decode.d8.loss_dice: 0.6595, loss: 13.8616, grad_norm: 60.1822 2023-11-22 22:21:06,202 - mmseg - INFO - Iter [154250/160000] lr: 3.424e-07, eta: 0:56:07, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1779, decode.loss_mask: 0.4298, decode.loss_dice: 0.6638, decode.d0.loss_cls: 1.2634, decode.d0.loss_mask: 0.4629, decode.d0.loss_dice: 0.7320, decode.d1.loss_cls: 0.2483, decode.d1.loss_mask: 0.4449, decode.d1.loss_dice: 0.6934, decode.d2.loss_cls: 0.2159, decode.d2.loss_mask: 0.4379, decode.d2.loss_dice: 0.6760, decode.d3.loss_cls: 0.1949, decode.d3.loss_mask: 0.4325, decode.d3.loss_dice: 0.6655, decode.d4.loss_cls: 0.1904, decode.d4.loss_mask: 0.4321, decode.d4.loss_dice: 0.6658, decode.d5.loss_cls: 0.1845, decode.d5.loss_mask: 0.4335, decode.d5.loss_dice: 0.6693, decode.d6.loss_cls: 0.1802, decode.d6.loss_mask: 0.4318, decode.d6.loss_dice: 0.6660, decode.d7.loss_cls: 0.1802, decode.d7.loss_mask: 0.4302, decode.d7.loss_dice: 0.6634, decode.d8.loss_cls: 0.1790, decode.d8.loss_mask: 0.4292, decode.d8.loss_dice: 0.6606, loss: 14.1351, grad_norm: 68.3652 2023-11-22 22:21:34,529 - mmseg - INFO - Iter [154300/160000] lr: 3.394e-07, eta: 0:55:38, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1661, decode.loss_mask: 0.4380, decode.loss_dice: 0.6562, decode.d0.loss_cls: 1.2228, decode.d0.loss_mask: 0.4731, decode.d0.loss_dice: 0.7322, decode.d1.loss_cls: 0.2424, decode.d1.loss_mask: 0.4555, decode.d1.loss_dice: 0.6918, decode.d2.loss_cls: 0.2029, decode.d2.loss_mask: 0.4470, decode.d2.loss_dice: 0.6768, decode.d3.loss_cls: 0.1808, decode.d3.loss_mask: 0.4424, decode.d3.loss_dice: 0.6644, decode.d4.loss_cls: 0.1717, decode.d4.loss_mask: 0.4409, decode.d4.loss_dice: 0.6658, decode.d5.loss_cls: 0.1701, decode.d5.loss_mask: 0.4401, decode.d5.loss_dice: 0.6630, decode.d6.loss_cls: 0.1669, decode.d6.loss_mask: 0.4394, decode.d6.loss_dice: 0.6602, decode.d7.loss_cls: 0.1639, decode.d7.loss_mask: 0.4385, decode.d7.loss_dice: 0.6627, decode.d8.loss_cls: 0.1656, decode.d8.loss_mask: 0.4382, decode.d8.loss_dice: 0.6578, loss: 14.0372, grad_norm: 67.8554 2023-11-22 22:22:02,920 - mmseg - INFO - Iter [154350/160000] lr: 3.364e-07, eta: 0:55:08, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1691, decode.loss_mask: 0.4389, decode.loss_dice: 0.6511, decode.d0.loss_cls: 1.2150, decode.d0.loss_mask: 0.4672, decode.d0.loss_dice: 0.7183, decode.d1.loss_cls: 0.2340, decode.d1.loss_mask: 0.4551, decode.d1.loss_dice: 0.6835, decode.d2.loss_cls: 0.1992, decode.d2.loss_mask: 0.4453, decode.d2.loss_dice: 0.6675, decode.d3.loss_cls: 0.1842, decode.d3.loss_mask: 0.4410, decode.d3.loss_dice: 0.6586, decode.d4.loss_cls: 0.1790, decode.d4.loss_mask: 0.4396, decode.d4.loss_dice: 0.6560, decode.d5.loss_cls: 0.1787, decode.d5.loss_mask: 0.4396, decode.d5.loss_dice: 0.6523, decode.d6.loss_cls: 0.1733, decode.d6.loss_mask: 0.4385, decode.d6.loss_dice: 0.6524, decode.d7.loss_cls: 0.1727, decode.d7.loss_mask: 0.4385, decode.d7.loss_dice: 0.6553, decode.d8.loss_cls: 0.1668, decode.d8.loss_mask: 0.4397, decode.d8.loss_dice: 0.6520, loss: 13.9626, grad_norm: 70.6067 2023-11-22 22:22:31,175 - mmseg - INFO - Iter [154400/160000] lr: 3.334e-07, eta: 0:54:39, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1342, decode.loss_mask: 0.4337, decode.loss_dice: 0.6361, decode.d0.loss_cls: 1.2065, decode.d0.loss_mask: 0.4666, decode.d0.loss_dice: 0.6991, decode.d1.loss_cls: 0.1940, decode.d1.loss_mask: 0.4480, decode.d1.loss_dice: 0.6679, decode.d2.loss_cls: 0.1587, decode.d2.loss_mask: 0.4427, decode.d2.loss_dice: 0.6537, decode.d3.loss_cls: 0.1464, decode.d3.loss_mask: 0.4378, decode.d3.loss_dice: 0.6418, decode.d4.loss_cls: 0.1438, decode.d4.loss_mask: 0.4375, decode.d4.loss_dice: 0.6414, decode.d5.loss_cls: 0.1374, decode.d5.loss_mask: 0.4358, decode.d5.loss_dice: 0.6381, decode.d6.loss_cls: 0.1371, decode.d6.loss_mask: 0.4349, decode.d6.loss_dice: 0.6379, decode.d7.loss_cls: 0.1372, decode.d7.loss_mask: 0.4334, decode.d7.loss_dice: 0.6356, decode.d8.loss_cls: 0.1366, decode.d8.loss_mask: 0.4344, decode.d8.loss_dice: 0.6361, loss: 13.4245, grad_norm: 59.8130 2023-11-22 22:22:59,425 - mmseg - INFO - Iter [154450/160000] lr: 3.305e-07, eta: 0:54:10, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1351, decode.loss_mask: 0.4438, decode.loss_dice: 0.6468, decode.d0.loss_cls: 1.1691, decode.d0.loss_mask: 0.4754, decode.d0.loss_dice: 0.7087, decode.d1.loss_cls: 0.1996, decode.d1.loss_mask: 0.4588, decode.d1.loss_dice: 0.6723, decode.d2.loss_cls: 0.1632, decode.d2.loss_mask: 0.4512, decode.d2.loss_dice: 0.6613, decode.d3.loss_cls: 0.1516, decode.d3.loss_mask: 0.4474, decode.d3.loss_dice: 0.6504, decode.d4.loss_cls: 0.1445, decode.d4.loss_mask: 0.4477, decode.d4.loss_dice: 0.6499, decode.d5.loss_cls: 0.1402, decode.d5.loss_mask: 0.4458, decode.d5.loss_dice: 0.6513, decode.d6.loss_cls: 0.1391, decode.d6.loss_mask: 0.4444, decode.d6.loss_dice: 0.6446, decode.d7.loss_cls: 0.1384, decode.d7.loss_mask: 0.4438, decode.d7.loss_dice: 0.6475, decode.d8.loss_cls: 0.1369, decode.d8.loss_mask: 0.4438, decode.d8.loss_dice: 0.6456, loss: 13.5982, grad_norm: 66.9797 2023-11-22 22:23:28,067 - mmseg - INFO - Iter [154500/160000] lr: 3.275e-07, eta: 0:53:40, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1692, decode.loss_mask: 0.4199, decode.loss_dice: 0.6419, decode.d0.loss_cls: 1.2581, decode.d0.loss_mask: 0.4496, decode.d0.loss_dice: 0.7172, decode.d1.loss_cls: 0.2433, decode.d1.loss_mask: 0.4355, decode.d1.loss_dice: 0.6717, decode.d2.loss_cls: 0.1991, decode.d2.loss_mask: 0.4292, decode.d2.loss_dice: 0.6606, decode.d3.loss_cls: 0.1799, decode.d3.loss_mask: 0.4256, decode.d3.loss_dice: 0.6496, decode.d4.loss_cls: 0.1765, decode.d4.loss_mask: 0.4234, decode.d4.loss_dice: 0.6465, decode.d5.loss_cls: 0.1744, decode.d5.loss_mask: 0.4223, decode.d5.loss_dice: 0.6487, decode.d6.loss_cls: 0.1662, decode.d6.loss_mask: 0.4227, decode.d6.loss_dice: 0.6440, decode.d7.loss_cls: 0.1680, decode.d7.loss_mask: 0.4225, decode.d7.loss_dice: 0.6416, decode.d8.loss_cls: 0.1685, decode.d8.loss_mask: 0.4205, decode.d8.loss_dice: 0.6428, loss: 13.7390, grad_norm: 62.2837 2023-11-22 22:23:56,333 - mmseg - INFO - Iter [154550/160000] lr: 3.245e-07, eta: 0:53:11, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1606, decode.loss_mask: 0.4169, decode.loss_dice: 0.6480, decode.d0.loss_cls: 1.2377, decode.d0.loss_mask: 0.4505, decode.d0.loss_dice: 0.7223, decode.d1.loss_cls: 0.2373, decode.d1.loss_mask: 0.4341, decode.d1.loss_dice: 0.6819, decode.d2.loss_cls: 0.1946, decode.d2.loss_mask: 0.4250, decode.d2.loss_dice: 0.6660, decode.d3.loss_cls: 0.1790, decode.d3.loss_mask: 0.4228, decode.d3.loss_dice: 0.6553, decode.d4.loss_cls: 0.1689, decode.d4.loss_mask: 0.4218, decode.d4.loss_dice: 0.6567, decode.d5.loss_cls: 0.1662, decode.d5.loss_mask: 0.4195, decode.d5.loss_dice: 0.6520, decode.d6.loss_cls: 0.1655, decode.d6.loss_mask: 0.4187, decode.d6.loss_dice: 0.6511, decode.d7.loss_cls: 0.1621, decode.d7.loss_mask: 0.4183, decode.d7.loss_dice: 0.6493, decode.d8.loss_cls: 0.1611, decode.d8.loss_mask: 0.4177, decode.d8.loss_dice: 0.6473, loss: 13.7083, grad_norm: 66.5586 2023-11-22 22:24:24,783 - mmseg - INFO - Iter [154600/160000] lr: 3.215e-07, eta: 0:52:42, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1403, decode.loss_mask: 0.4108, decode.loss_dice: 0.6463, decode.d0.loss_cls: 1.2471, decode.d0.loss_mask: 0.4430, decode.d0.loss_dice: 0.7159, decode.d1.loss_cls: 0.2083, decode.d1.loss_mask: 0.4246, decode.d1.loss_dice: 0.6776, decode.d2.loss_cls: 0.1732, decode.d2.loss_mask: 0.4191, decode.d2.loss_dice: 0.6635, decode.d3.loss_cls: 0.1566, decode.d3.loss_mask: 0.4144, decode.d3.loss_dice: 0.6572, decode.d4.loss_cls: 0.1490, decode.d4.loss_mask: 0.4144, decode.d4.loss_dice: 0.6550, decode.d5.loss_cls: 0.1475, decode.d5.loss_mask: 0.4124, decode.d5.loss_dice: 0.6506, decode.d6.loss_cls: 0.1426, decode.d6.loss_mask: 0.4107, decode.d6.loss_dice: 0.6510, decode.d7.loss_cls: 0.1380, decode.d7.loss_mask: 0.4118, decode.d7.loss_dice: 0.6491, decode.d8.loss_cls: 0.1363, decode.d8.loss_mask: 0.4115, decode.d8.loss_dice: 0.6460, loss: 13.4238, grad_norm: 60.0936 2023-11-22 22:24:53,584 - mmseg - INFO - Iter [154650/160000] lr: 3.185e-07, eta: 0:52:13, time: 0.574, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1537, decode.loss_mask: 0.4222, decode.loss_dice: 0.6444, decode.d0.loss_cls: 1.2070, decode.d0.loss_mask: 0.4582, decode.d0.loss_dice: 0.7128, decode.d1.loss_cls: 0.2276, decode.d1.loss_mask: 0.4365, decode.d1.loss_dice: 0.6751, decode.d2.loss_cls: 0.1906, decode.d2.loss_mask: 0.4304, decode.d2.loss_dice: 0.6590, decode.d3.loss_cls: 0.1730, decode.d3.loss_mask: 0.4250, decode.d3.loss_dice: 0.6456, decode.d4.loss_cls: 0.1713, decode.d4.loss_mask: 0.4245, decode.d4.loss_dice: 0.6450, decode.d5.loss_cls: 0.1600, decode.d5.loss_mask: 0.4242, decode.d5.loss_dice: 0.6461, decode.d6.loss_cls: 0.1594, decode.d6.loss_mask: 0.4238, decode.d6.loss_dice: 0.6475, decode.d7.loss_cls: 0.1563, decode.d7.loss_mask: 0.4236, decode.d7.loss_dice: 0.6459, decode.d8.loss_cls: 0.1565, decode.d8.loss_mask: 0.4218, decode.d8.loss_dice: 0.6443, loss: 13.6114, grad_norm: 64.9417 2023-11-22 22:25:21,831 - mmseg - INFO - Iter [154700/160000] lr: 3.156e-07, eta: 0:51:43, time: 0.567, data_time: 0.015, memory: 38143, decode.loss_cls: 0.1436, decode.loss_mask: 0.4360, decode.loss_dice: 0.6746, decode.d0.loss_cls: 1.2709, decode.d0.loss_mask: 0.4686, decode.d0.loss_dice: 0.7447, decode.d1.loss_cls: 0.2213, decode.d1.loss_mask: 0.4512, decode.d1.loss_dice: 0.7030, decode.d2.loss_cls: 0.1745, decode.d2.loss_mask: 0.4445, decode.d2.loss_dice: 0.6935, decode.d3.loss_cls: 0.1619, decode.d3.loss_mask: 0.4405, decode.d3.loss_dice: 0.6821, decode.d4.loss_cls: 0.1537, decode.d4.loss_mask: 0.4397, decode.d4.loss_dice: 0.6801, decode.d5.loss_cls: 0.1486, decode.d5.loss_mask: 0.4402, decode.d5.loss_dice: 0.6800, decode.d6.loss_cls: 0.1508, decode.d6.loss_mask: 0.4384, decode.d6.loss_dice: 0.6761, decode.d7.loss_cls: 0.1469, decode.d7.loss_mask: 0.4364, decode.d7.loss_dice: 0.6763, decode.d8.loss_cls: 0.1453, decode.d8.loss_mask: 0.4363, decode.d8.loss_dice: 0.6757, loss: 14.0356, grad_norm: 62.1468 2023-11-22 22:25:50,225 - mmseg - INFO - Iter [154750/160000] lr: 3.126e-07, eta: 0:51:14, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1511, decode.loss_mask: 0.4127, decode.loss_dice: 0.6407, decode.d0.loss_cls: 1.1995, decode.d0.loss_mask: 0.4493, decode.d0.loss_dice: 0.7042, decode.d1.loss_cls: 0.2218, decode.d1.loss_mask: 0.4316, decode.d1.loss_dice: 0.6761, decode.d2.loss_cls: 0.1762, decode.d2.loss_mask: 0.4242, decode.d2.loss_dice: 0.6538, decode.d3.loss_cls: 0.1654, decode.d3.loss_mask: 0.4172, decode.d3.loss_dice: 0.6435, decode.d4.loss_cls: 0.1596, decode.d4.loss_mask: 0.4167, decode.d4.loss_dice: 0.6408, decode.d5.loss_cls: 0.1569, decode.d5.loss_mask: 0.4158, decode.d5.loss_dice: 0.6436, decode.d6.loss_cls: 0.1536, decode.d6.loss_mask: 0.4140, decode.d6.loss_dice: 0.6396, decode.d7.loss_cls: 0.1518, decode.d7.loss_mask: 0.4140, decode.d7.loss_dice: 0.6383, decode.d8.loss_cls: 0.1501, decode.d8.loss_mask: 0.4130, decode.d8.loss_dice: 0.6377, loss: 13.4125, grad_norm: 63.9782 2023-11-22 22:26:18,778 - mmseg - INFO - Iter [154800/160000] lr: 3.096e-07, eta: 0:50:45, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1340, decode.loss_mask: 0.4198, decode.loss_dice: 0.6354, decode.d0.loss_cls: 1.2130, decode.d0.loss_mask: 0.4583, decode.d0.loss_dice: 0.7050, decode.d1.loss_cls: 0.2076, decode.d1.loss_mask: 0.4340, decode.d1.loss_dice: 0.6639, decode.d2.loss_cls: 0.1688, decode.d2.loss_mask: 0.4274, decode.d2.loss_dice: 0.6554, decode.d3.loss_cls: 0.1520, decode.d3.loss_mask: 0.4244, decode.d3.loss_dice: 0.6416, decode.d4.loss_cls: 0.1436, decode.d4.loss_mask: 0.4237, decode.d4.loss_dice: 0.6403, decode.d5.loss_cls: 0.1400, decode.d5.loss_mask: 0.4222, decode.d5.loss_dice: 0.6392, decode.d6.loss_cls: 0.1403, decode.d6.loss_mask: 0.4213, decode.d6.loss_dice: 0.6359, decode.d7.loss_cls: 0.1335, decode.d7.loss_mask: 0.4217, decode.d7.loss_dice: 0.6357, decode.d8.loss_cls: 0.1325, decode.d8.loss_mask: 0.4207, decode.d8.loss_dice: 0.6376, loss: 13.3288, grad_norm: 63.2587 2023-11-22 22:26:47,051 - mmseg - INFO - Iter [154850/160000] lr: 3.066e-07, eta: 0:50:15, time: 0.565, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1612, decode.loss_mask: 0.4069, decode.loss_dice: 0.6374, decode.d0.loss_cls: 1.2566, decode.d0.loss_mask: 0.4385, decode.d0.loss_dice: 0.7177, decode.d1.loss_cls: 0.2427, decode.d1.loss_mask: 0.4217, decode.d1.loss_dice: 0.6786, decode.d2.loss_cls: 0.1983, decode.d2.loss_mask: 0.4132, decode.d2.loss_dice: 0.6515, decode.d3.loss_cls: 0.1826, decode.d3.loss_mask: 0.4094, decode.d3.loss_dice: 0.6462, decode.d4.loss_cls: 0.1748, decode.d4.loss_mask: 0.4078, decode.d4.loss_dice: 0.6447, decode.d5.loss_cls: 0.1727, decode.d5.loss_mask: 0.4088, decode.d5.loss_dice: 0.6430, decode.d6.loss_cls: 0.1673, decode.d6.loss_mask: 0.4069, decode.d6.loss_dice: 0.6391, decode.d7.loss_cls: 0.1682, decode.d7.loss_mask: 0.4058, decode.d7.loss_dice: 0.6375, decode.d8.loss_cls: 0.1608, decode.d8.loss_mask: 0.4088, decode.d8.loss_dice: 0.6408, loss: 13.5495, grad_norm: 62.2188 2023-11-22 22:27:15,851 - mmseg - INFO - Iter [154900/160000] lr: 3.037e-07, eta: 0:49:46, time: 0.576, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1475, decode.loss_mask: 0.4184, decode.loss_dice: 0.6335, decode.d0.loss_cls: 1.2265, decode.d0.loss_mask: 0.4529, decode.d0.loss_dice: 0.7025, decode.d1.loss_cls: 0.2230, decode.d1.loss_mask: 0.4332, decode.d1.loss_dice: 0.6654, decode.d2.loss_cls: 0.1773, decode.d2.loss_mask: 0.4258, decode.d2.loss_dice: 0.6545, decode.d3.loss_cls: 0.1601, decode.d3.loss_mask: 0.4225, decode.d3.loss_dice: 0.6373, decode.d4.loss_cls: 0.1569, decode.d4.loss_mask: 0.4208, decode.d4.loss_dice: 0.6362, decode.d5.loss_cls: 0.1543, decode.d5.loss_mask: 0.4202, decode.d5.loss_dice: 0.6386, decode.d6.loss_cls: 0.1529, decode.d6.loss_mask: 0.4195, decode.d6.loss_dice: 0.6315, decode.d7.loss_cls: 0.1475, decode.d7.loss_mask: 0.4184, decode.d7.loss_dice: 0.6352, decode.d8.loss_cls: 0.1475, decode.d8.loss_mask: 0.4186, decode.d8.loss_dice: 0.6337, loss: 13.4124, grad_norm: 67.3399 2023-11-22 22:27:44,792 - mmseg - INFO - Iter [154950/160000] lr: 3.007e-07, eta: 0:49:17, time: 0.579, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1506, decode.loss_mask: 0.4234, decode.loss_dice: 0.6516, decode.d0.loss_cls: 1.2566, decode.d0.loss_mask: 0.4534, decode.d0.loss_dice: 0.7191, decode.d1.loss_cls: 0.2363, decode.d1.loss_mask: 0.4379, decode.d1.loss_dice: 0.6822, decode.d2.loss_cls: 0.1939, decode.d2.loss_mask: 0.4290, decode.d2.loss_dice: 0.6657, decode.d3.loss_cls: 0.1784, decode.d3.loss_mask: 0.4261, decode.d3.loss_dice: 0.6584, decode.d4.loss_cls: 0.1687, decode.d4.loss_mask: 0.4254, decode.d4.loss_dice: 0.6552, decode.d5.loss_cls: 0.1633, decode.d5.loss_mask: 0.4229, decode.d5.loss_dice: 0.6537, decode.d6.loss_cls: 0.1590, decode.d6.loss_mask: 0.4235, decode.d6.loss_dice: 0.6527, decode.d7.loss_cls: 0.1546, decode.d7.loss_mask: 0.4240, decode.d7.loss_dice: 0.6535, decode.d8.loss_cls: 0.1545, decode.d8.loss_mask: 0.4231, decode.d8.loss_dice: 0.6503, loss: 13.7469, grad_norm: 67.3200 2023-11-22 22:28:12,961 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 22:28:12,961 - mmseg - INFO - Iter [155000/160000] lr: 2.977e-07, eta: 0:48:47, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1474, decode.loss_mask: 0.4272, decode.loss_dice: 0.6482, decode.d0.loss_cls: 1.2502, decode.d0.loss_mask: 0.4612, decode.d0.loss_dice: 0.7250, decode.d1.loss_cls: 0.2301, decode.d1.loss_mask: 0.4432, decode.d1.loss_dice: 0.6822, decode.d2.loss_cls: 0.1790, decode.d2.loss_mask: 0.4364, decode.d2.loss_dice: 0.6693, decode.d3.loss_cls: 0.1687, decode.d3.loss_mask: 0.4336, decode.d3.loss_dice: 0.6542, decode.d4.loss_cls: 0.1597, decode.d4.loss_mask: 0.4302, decode.d4.loss_dice: 0.6550, decode.d5.loss_cls: 0.1542, decode.d5.loss_mask: 0.4311, decode.d5.loss_dice: 0.6543, decode.d6.loss_cls: 0.1504, decode.d6.loss_mask: 0.4283, decode.d6.loss_dice: 0.6512, decode.d7.loss_cls: 0.1492, decode.d7.loss_mask: 0.4274, decode.d7.loss_dice: 0.6467, decode.d8.loss_cls: 0.1486, decode.d8.loss_mask: 0.4285, decode.d8.loss_dice: 0.6491, loss: 13.7198, grad_norm: 66.9774 2023-11-22 22:28:41,379 - mmseg - INFO - Iter [155050/160000] lr: 2.947e-07, eta: 0:48:18, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1433, decode.loss_mask: 0.4387, decode.loss_dice: 0.6485, decode.d0.loss_cls: 1.2304, decode.d0.loss_mask: 0.4682, decode.d0.loss_dice: 0.7100, decode.d1.loss_cls: 0.2138, decode.d1.loss_mask: 0.4508, decode.d1.loss_dice: 0.6807, decode.d2.loss_cls: 0.1796, decode.d2.loss_mask: 0.4465, decode.d2.loss_dice: 0.6639, decode.d3.loss_cls: 0.1604, decode.d3.loss_mask: 0.4413, decode.d3.loss_dice: 0.6541, decode.d4.loss_cls: 0.1571, decode.d4.loss_mask: 0.4397, decode.d4.loss_dice: 0.6540, decode.d5.loss_cls: 0.1496, decode.d5.loss_mask: 0.4391, decode.d5.loss_dice: 0.6475, decode.d6.loss_cls: 0.1442, decode.d6.loss_mask: 0.4399, decode.d6.loss_dice: 0.6456, decode.d7.loss_cls: 0.1432, decode.d7.loss_mask: 0.4392, decode.d7.loss_dice: 0.6477, decode.d8.loss_cls: 0.1408, decode.d8.loss_mask: 0.4392, decode.d8.loss_dice: 0.6461, loss: 13.7031, grad_norm: 59.8344 2023-11-22 22:29:09,588 - mmseg - INFO - Iter [155100/160000] lr: 2.918e-07, eta: 0:47:49, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1451, decode.loss_mask: 0.4195, decode.loss_dice: 0.6424, decode.d0.loss_cls: 1.2070, decode.d0.loss_mask: 0.4526, decode.d0.loss_dice: 0.7050, decode.d1.loss_cls: 0.2275, decode.d1.loss_mask: 0.4335, decode.d1.loss_dice: 0.6665, decode.d2.loss_cls: 0.1734, decode.d2.loss_mask: 0.4280, decode.d2.loss_dice: 0.6543, decode.d3.loss_cls: 0.1619, decode.d3.loss_mask: 0.4236, decode.d3.loss_dice: 0.6452, decode.d4.loss_cls: 0.1542, decode.d4.loss_mask: 0.4231, decode.d4.loss_dice: 0.6453, decode.d5.loss_cls: 0.1500, decode.d5.loss_mask: 0.4240, decode.d5.loss_dice: 0.6472, decode.d6.loss_cls: 0.1538, decode.d6.loss_mask: 0.4222, decode.d6.loss_dice: 0.6410, decode.d7.loss_cls: 0.1505, decode.d7.loss_mask: 0.4201, decode.d7.loss_dice: 0.6402, decode.d8.loss_cls: 0.1465, decode.d8.loss_mask: 0.4194, decode.d8.loss_dice: 0.6406, loss: 13.4637, grad_norm: 60.9208 2023-11-22 22:29:38,065 - mmseg - INFO - Iter [155150/160000] lr: 2.888e-07, eta: 0:47:19, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1582, decode.loss_mask: 0.4199, decode.loss_dice: 0.6364, decode.d0.loss_cls: 1.2664, decode.d0.loss_mask: 0.4545, decode.d0.loss_dice: 0.7102, decode.d1.loss_cls: 0.2386, decode.d1.loss_mask: 0.4362, decode.d1.loss_dice: 0.6696, decode.d2.loss_cls: 0.1873, decode.d2.loss_mask: 0.4266, decode.d2.loss_dice: 0.6554, decode.d3.loss_cls: 0.1770, decode.d3.loss_mask: 0.4227, decode.d3.loss_dice: 0.6451, decode.d4.loss_cls: 0.1723, decode.d4.loss_mask: 0.4219, decode.d4.loss_dice: 0.6407, decode.d5.loss_cls: 0.1654, decode.d5.loss_mask: 0.4208, decode.d5.loss_dice: 0.6408, decode.d6.loss_cls: 0.1647, decode.d6.loss_mask: 0.4205, decode.d6.loss_dice: 0.6356, decode.d7.loss_cls: 0.1611, decode.d7.loss_mask: 0.4207, decode.d7.loss_dice: 0.6397, decode.d8.loss_cls: 0.1593, decode.d8.loss_mask: 0.4195, decode.d8.loss_dice: 0.6356, loss: 13.6227, grad_norm: 62.9972 2023-11-22 22:30:06,794 - mmseg - INFO - Iter [155200/160000] lr: 2.858e-07, eta: 0:46:50, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1495, decode.loss_mask: 0.4165, decode.loss_dice: 0.6399, decode.d0.loss_cls: 1.3053, decode.d0.loss_mask: 0.4489, decode.d0.loss_dice: 0.7072, decode.d1.loss_cls: 0.2361, decode.d1.loss_mask: 0.4329, decode.d1.loss_dice: 0.6704, decode.d2.loss_cls: 0.1883, decode.d2.loss_mask: 0.4253, decode.d2.loss_dice: 0.6582, decode.d3.loss_cls: 0.1673, decode.d3.loss_mask: 0.4214, decode.d3.loss_dice: 0.6452, decode.d4.loss_cls: 0.1666, decode.d4.loss_mask: 0.4188, decode.d4.loss_dice: 0.6399, decode.d5.loss_cls: 0.1644, decode.d5.loss_mask: 0.4176, decode.d5.loss_dice: 0.6398, decode.d6.loss_cls: 0.1567, decode.d6.loss_mask: 0.4169, decode.d6.loss_dice: 0.6381, decode.d7.loss_cls: 0.1508, decode.d7.loss_mask: 0.4168, decode.d7.loss_dice: 0.6377, decode.d8.loss_cls: 0.1464, decode.d8.loss_mask: 0.4177, decode.d8.loss_dice: 0.6394, loss: 13.5799, grad_norm: 67.1161 2023-11-22 22:30:35,495 - mmseg - INFO - Iter [155250/160000] lr: 2.828e-07, eta: 0:46:21, time: 0.576, data_time: 0.015, memory: 38143, decode.loss_cls: 0.1643, decode.loss_mask: 0.4368, decode.loss_dice: 0.6509, decode.d0.loss_cls: 1.2383, decode.d0.loss_mask: 0.4658, decode.d0.loss_dice: 0.7096, decode.d1.loss_cls: 0.2365, decode.d1.loss_mask: 0.4470, decode.d1.loss_dice: 0.6762, decode.d2.loss_cls: 0.1991, decode.d2.loss_mask: 0.4418, decode.d2.loss_dice: 0.6613, decode.d3.loss_cls: 0.1800, decode.d3.loss_mask: 0.4383, decode.d3.loss_dice: 0.6536, decode.d4.loss_cls: 0.1768, decode.d4.loss_mask: 0.4375, decode.d4.loss_dice: 0.6509, decode.d5.loss_cls: 0.1728, decode.d5.loss_mask: 0.4369, decode.d5.loss_dice: 0.6488, decode.d6.loss_cls: 0.1707, decode.d6.loss_mask: 0.4360, decode.d6.loss_dice: 0.6478, decode.d7.loss_cls: 0.1660, decode.d7.loss_mask: 0.4359, decode.d7.loss_dice: 0.6459, decode.d8.loss_cls: 0.1616, decode.d8.loss_mask: 0.4351, decode.d8.loss_dice: 0.6468, loss: 13.8691, grad_norm: 64.0398 2023-11-22 22:31:03,910 - mmseg - INFO - Iter [155300/160000] lr: 2.799e-07, eta: 0:45:52, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1589, decode.loss_mask: 0.4183, decode.loss_dice: 0.6500, decode.d0.loss_cls: 1.2705, decode.d0.loss_mask: 0.4511, decode.d0.loss_dice: 0.7197, decode.d1.loss_cls: 0.2434, decode.d1.loss_mask: 0.4351, decode.d1.loss_dice: 0.6836, decode.d2.loss_cls: 0.1985, decode.d2.loss_mask: 0.4265, decode.d2.loss_dice: 0.6671, decode.d3.loss_cls: 0.1815, decode.d3.loss_mask: 0.4235, decode.d3.loss_dice: 0.6545, decode.d4.loss_cls: 0.1759, decode.d4.loss_mask: 0.4205, decode.d4.loss_dice: 0.6495, decode.d5.loss_cls: 0.1658, decode.d5.loss_mask: 0.4219, decode.d5.loss_dice: 0.6501, decode.d6.loss_cls: 0.1660, decode.d6.loss_mask: 0.4206, decode.d6.loss_dice: 0.6516, decode.d7.loss_cls: 0.1609, decode.d7.loss_mask: 0.4199, decode.d7.loss_dice: 0.6528, decode.d8.loss_cls: 0.1624, decode.d8.loss_mask: 0.4183, decode.d8.loss_dice: 0.6450, loss: 13.7634, grad_norm: 66.4676 2023-11-22 22:31:34,653 - mmseg - INFO - Iter [155350/160000] lr: 2.769e-07, eta: 0:45:22, time: 0.615, data_time: 0.060, memory: 38143, decode.loss_cls: 0.1483, decode.loss_mask: 0.4407, decode.loss_dice: 0.6397, decode.d0.loss_cls: 1.2064, decode.d0.loss_mask: 0.4739, decode.d0.loss_dice: 0.7019, decode.d1.loss_cls: 0.2218, decode.d1.loss_mask: 0.4556, decode.d1.loss_dice: 0.6691, decode.d2.loss_cls: 0.1817, decode.d2.loss_mask: 0.4475, decode.d2.loss_dice: 0.6532, decode.d3.loss_cls: 0.1645, decode.d3.loss_mask: 0.4445, decode.d3.loss_dice: 0.6456, decode.d4.loss_cls: 0.1583, decode.d4.loss_mask: 0.4426, decode.d4.loss_dice: 0.6438, decode.d5.loss_cls: 0.1554, decode.d5.loss_mask: 0.4427, decode.d5.loss_dice: 0.6429, decode.d6.loss_cls: 0.1548, decode.d6.loss_mask: 0.4413, decode.d6.loss_dice: 0.6408, decode.d7.loss_cls: 0.1498, decode.d7.loss_mask: 0.4402, decode.d7.loss_dice: 0.6381, decode.d8.loss_cls: 0.1490, decode.d8.loss_mask: 0.4404, decode.d8.loss_dice: 0.6400, loss: 13.6742, grad_norm: 67.1064 2023-11-22 22:32:03,010 - mmseg - INFO - Iter [155400/160000] lr: 2.739e-07, eta: 0:44:53, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1614, decode.loss_mask: 0.4148, decode.loss_dice: 0.6442, decode.d0.loss_cls: 1.2212, decode.d0.loss_mask: 0.4465, decode.d0.loss_dice: 0.7073, decode.d1.loss_cls: 0.2360, decode.d1.loss_mask: 0.4342, decode.d1.loss_dice: 0.6762, decode.d2.loss_cls: 0.1889, decode.d2.loss_mask: 0.4245, decode.d2.loss_dice: 0.6560, decode.d3.loss_cls: 0.1741, decode.d3.loss_mask: 0.4184, decode.d3.loss_dice: 0.6490, decode.d4.loss_cls: 0.1717, decode.d4.loss_mask: 0.4182, decode.d4.loss_dice: 0.6458, decode.d5.loss_cls: 0.1706, decode.d5.loss_mask: 0.4169, decode.d5.loss_dice: 0.6473, decode.d6.loss_cls: 0.1651, decode.d6.loss_mask: 0.4146, decode.d6.loss_dice: 0.6426, decode.d7.loss_cls: 0.1614, decode.d7.loss_mask: 0.4144, decode.d7.loss_dice: 0.6463, decode.d8.loss_cls: 0.1621, decode.d8.loss_mask: 0.4154, decode.d8.loss_dice: 0.6431, loss: 13.5879, grad_norm: 63.5598 2023-11-22 22:32:31,140 - mmseg - INFO - Iter [155450/160000] lr: 2.709e-07, eta: 0:44:24, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1585, decode.loss_mask: 0.4499, decode.loss_dice: 0.6556, decode.d0.loss_cls: 1.1950, decode.d0.loss_mask: 0.4865, decode.d0.loss_dice: 0.7274, decode.d1.loss_cls: 0.2204, decode.d1.loss_mask: 0.4673, decode.d1.loss_dice: 0.6860, decode.d2.loss_cls: 0.1865, decode.d2.loss_mask: 0.4581, decode.d2.loss_dice: 0.6717, decode.d3.loss_cls: 0.1748, decode.d3.loss_mask: 0.4526, decode.d3.loss_dice: 0.6591, decode.d4.loss_cls: 0.1679, decode.d4.loss_mask: 0.4510, decode.d4.loss_dice: 0.6575, decode.d5.loss_cls: 0.1679, decode.d5.loss_mask: 0.4515, decode.d5.loss_dice: 0.6555, decode.d6.loss_cls: 0.1628, decode.d6.loss_mask: 0.4490, decode.d6.loss_dice: 0.6535, decode.d7.loss_cls: 0.1572, decode.d7.loss_mask: 0.4491, decode.d7.loss_dice: 0.6576, decode.d8.loss_cls: 0.1591, decode.d8.loss_mask: 0.4496, decode.d8.loss_dice: 0.6566, loss: 13.9949, grad_norm: 67.7417 2023-11-22 22:32:59,768 - mmseg - INFO - Iter [155500/160000] lr: 2.679e-07, eta: 0:43:54, time: 0.570, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1624, decode.loss_mask: 0.4306, decode.loss_dice: 0.6513, decode.d0.loss_cls: 1.2432, decode.d0.loss_mask: 0.4607, decode.d0.loss_dice: 0.7175, decode.d1.loss_cls: 0.2381, decode.d1.loss_mask: 0.4466, decode.d1.loss_dice: 0.6830, decode.d2.loss_cls: 0.1951, decode.d2.loss_mask: 0.4389, decode.d2.loss_dice: 0.6703, decode.d3.loss_cls: 0.1807, decode.d3.loss_mask: 0.4340, decode.d3.loss_dice: 0.6616, decode.d4.loss_cls: 0.1700, decode.d4.loss_mask: 0.4339, decode.d4.loss_dice: 0.6603, decode.d5.loss_cls: 0.1634, decode.d5.loss_mask: 0.4332, decode.d5.loss_dice: 0.6582, decode.d6.loss_cls: 0.1650, decode.d6.loss_mask: 0.4317, decode.d6.loss_dice: 0.6557, decode.d7.loss_cls: 0.1594, decode.d7.loss_mask: 0.4330, decode.d7.loss_dice: 0.6543, decode.d8.loss_cls: 0.1581, decode.d8.loss_mask: 0.4320, decode.d8.loss_dice: 0.6549, loss: 13.8772, grad_norm: 66.4662 2023-11-22 22:33:28,225 - mmseg - INFO - Iter [155550/160000] lr: 2.650e-07, eta: 0:43:25, time: 0.571, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1458, decode.loss_mask: 0.4133, decode.loss_dice: 0.6205, decode.d0.loss_cls: 1.2400, decode.d0.loss_mask: 0.4461, decode.d0.loss_dice: 0.6879, decode.d1.loss_cls: 0.2195, decode.d1.loss_mask: 0.4278, decode.d1.loss_dice: 0.6538, decode.d2.loss_cls: 0.1744, decode.d2.loss_mask: 0.4229, decode.d2.loss_dice: 0.6416, decode.d3.loss_cls: 0.1628, decode.d3.loss_mask: 0.4158, decode.d3.loss_dice: 0.6290, decode.d4.loss_cls: 0.1527, decode.d4.loss_mask: 0.4142, decode.d4.loss_dice: 0.6286, decode.d5.loss_cls: 0.1491, decode.d5.loss_mask: 0.4136, decode.d5.loss_dice: 0.6265, decode.d6.loss_cls: 0.1501, decode.d6.loss_mask: 0.4135, decode.d6.loss_dice: 0.6192, decode.d7.loss_cls: 0.1500, decode.d7.loss_mask: 0.4132, decode.d7.loss_dice: 0.6190, decode.d8.loss_cls: 0.1462, decode.d8.loss_mask: 0.4129, decode.d8.loss_dice: 0.6209, loss: 13.2309, grad_norm: 64.6560 2023-11-22 22:33:56,448 - mmseg - INFO - Iter [155600/160000] lr: 2.620e-07, eta: 0:42:56, time: 0.564, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1379, decode.loss_mask: 0.4044, decode.loss_dice: 0.6238, decode.d0.loss_cls: 1.2318, decode.d0.loss_mask: 0.4379, decode.d0.loss_dice: 0.6991, decode.d1.loss_cls: 0.2076, decode.d1.loss_mask: 0.4195, decode.d1.loss_dice: 0.6562, decode.d2.loss_cls: 0.1759, decode.d2.loss_mask: 0.4107, decode.d2.loss_dice: 0.6356, decode.d3.loss_cls: 0.1603, decode.d3.loss_mask: 0.4061, decode.d3.loss_dice: 0.6306, decode.d4.loss_cls: 0.1546, decode.d4.loss_mask: 0.4066, decode.d4.loss_dice: 0.6283, decode.d5.loss_cls: 0.1484, decode.d5.loss_mask: 0.4066, decode.d5.loss_dice: 0.6289, decode.d6.loss_cls: 0.1445, decode.d6.loss_mask: 0.4060, decode.d6.loss_dice: 0.6243, decode.d7.loss_cls: 0.1393, decode.d7.loss_mask: 0.4047, decode.d7.loss_dice: 0.6245, decode.d8.loss_cls: 0.1363, decode.d8.loss_mask: 0.4028, decode.d8.loss_dice: 0.6219, loss: 13.1150, grad_norm: 62.0859 2023-11-22 22:34:24,595 - mmseg - INFO - Iter [155650/160000] lr: 2.590e-07, eta: 0:42:27, time: 0.563, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1476, decode.loss_mask: 0.4199, decode.loss_dice: 0.6389, decode.d0.loss_cls: 1.2244, decode.d0.loss_mask: 0.4502, decode.d0.loss_dice: 0.7108, decode.d1.loss_cls: 0.2298, decode.d1.loss_mask: 0.4321, decode.d1.loss_dice: 0.6729, decode.d2.loss_cls: 0.1824, decode.d2.loss_mask: 0.4258, decode.d2.loss_dice: 0.6552, decode.d3.loss_cls: 0.1708, decode.d3.loss_mask: 0.4223, decode.d3.loss_dice: 0.6444, decode.d4.loss_cls: 0.1661, decode.d4.loss_mask: 0.4208, decode.d4.loss_dice: 0.6463, decode.d5.loss_cls: 0.1579, decode.d5.loss_mask: 0.4204, decode.d5.loss_dice: 0.6410, decode.d6.loss_cls: 0.1522, decode.d6.loss_mask: 0.4206, decode.d6.loss_dice: 0.6414, decode.d7.loss_cls: 0.1538, decode.d7.loss_mask: 0.4196, decode.d7.loss_dice: 0.6407, decode.d8.loss_cls: 0.1509, decode.d8.loss_mask: 0.4196, decode.d8.loss_dice: 0.6420, loss: 13.5207, grad_norm: 61.7100 2023-11-22 22:34:52,955 - mmseg - INFO - Iter [155700/160000] lr: 2.560e-07, eta: 0:41:57, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1553, decode.loss_mask: 0.4147, decode.loss_dice: 0.6456, decode.d0.loss_cls: 1.2321, decode.d0.loss_mask: 0.4485, decode.d0.loss_dice: 0.7167, decode.d1.loss_cls: 0.2238, decode.d1.loss_mask: 0.4297, decode.d1.loss_dice: 0.6759, decode.d2.loss_cls: 0.1849, decode.d2.loss_mask: 0.4213, decode.d2.loss_dice: 0.6594, decode.d3.loss_cls: 0.1710, decode.d3.loss_mask: 0.4162, decode.d3.loss_dice: 0.6513, decode.d4.loss_cls: 0.1638, decode.d4.loss_mask: 0.4164, decode.d4.loss_dice: 0.6533, decode.d5.loss_cls: 0.1571, decode.d5.loss_mask: 0.4167, decode.d5.loss_dice: 0.6475, decode.d6.loss_cls: 0.1551, decode.d6.loss_mask: 0.4160, decode.d6.loss_dice: 0.6458, decode.d7.loss_cls: 0.1580, decode.d7.loss_mask: 0.4157, decode.d7.loss_dice: 0.6438, decode.d8.loss_cls: 0.1570, decode.d8.loss_mask: 0.4132, decode.d8.loss_dice: 0.6433, loss: 13.5491, grad_norm: 65.0179 2023-11-22 22:35:21,324 - mmseg - INFO - Iter [155750/160000] lr: 2.531e-07, eta: 0:41:28, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1478, decode.loss_mask: 0.4230, decode.loss_dice: 0.6491, decode.d0.loss_cls: 1.2444, decode.d0.loss_mask: 0.4573, decode.d0.loss_dice: 0.7156, decode.d1.loss_cls: 0.2262, decode.d1.loss_mask: 0.4373, decode.d1.loss_dice: 0.6786, decode.d2.loss_cls: 0.1795, decode.d2.loss_mask: 0.4301, decode.d2.loss_dice: 0.6640, decode.d3.loss_cls: 0.1677, decode.d3.loss_mask: 0.4255, decode.d3.loss_dice: 0.6501, decode.d4.loss_cls: 0.1631, decode.d4.loss_mask: 0.4248, decode.d4.loss_dice: 0.6541, decode.d5.loss_cls: 0.1589, decode.d5.loss_mask: 0.4246, decode.d5.loss_dice: 0.6491, decode.d6.loss_cls: 0.1497, decode.d6.loss_mask: 0.4255, decode.d6.loss_dice: 0.6468, decode.d7.loss_cls: 0.1468, decode.d7.loss_mask: 0.4237, decode.d7.loss_dice: 0.6485, decode.d8.loss_cls: 0.1458, decode.d8.loss_mask: 0.4244, decode.d8.loss_dice: 0.6489, loss: 13.6310, grad_norm: 67.2924 2023-11-22 22:35:49,835 - mmseg - INFO - Iter [155800/160000] lr: 2.501e-07, eta: 0:40:59, time: 0.570, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1406, decode.loss_mask: 0.4291, decode.loss_dice: 0.6441, decode.d0.loss_cls: 1.2179, decode.d0.loss_mask: 0.4558, decode.d0.loss_dice: 0.7091, decode.d1.loss_cls: 0.2131, decode.d1.loss_mask: 0.4442, decode.d1.loss_dice: 0.6722, decode.d2.loss_cls: 0.1709, decode.d2.loss_mask: 0.4374, decode.d2.loss_dice: 0.6607, decode.d3.loss_cls: 0.1594, decode.d3.loss_mask: 0.4332, decode.d3.loss_dice: 0.6480, decode.d4.loss_cls: 0.1560, decode.d4.loss_mask: 0.4323, decode.d4.loss_dice: 0.6472, decode.d5.loss_cls: 0.1442, decode.d5.loss_mask: 0.4318, decode.d5.loss_dice: 0.6482, decode.d6.loss_cls: 0.1493, decode.d6.loss_mask: 0.4294, decode.d6.loss_dice: 0.6471, decode.d7.loss_cls: 0.1440, decode.d7.loss_mask: 0.4299, decode.d7.loss_dice: 0.6441, decode.d8.loss_cls: 0.1436, decode.d8.loss_mask: 0.4281, decode.d8.loss_dice: 0.6426, loss: 13.5536, grad_norm: 63.8929 2023-11-22 22:36:18,218 - mmseg - INFO - Iter [155850/160000] lr: 2.471e-07, eta: 0:40:29, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1584, decode.loss_mask: 0.4400, decode.loss_dice: 0.6641, decode.d0.loss_cls: 1.2339, decode.d0.loss_mask: 0.4771, decode.d0.loss_dice: 0.7323, decode.d1.loss_cls: 0.2308, decode.d1.loss_mask: 0.4565, decode.d1.loss_dice: 0.6974, decode.d2.loss_cls: 0.1879, decode.d2.loss_mask: 0.4476, decode.d2.loss_dice: 0.6788, decode.d3.loss_cls: 0.1736, decode.d3.loss_mask: 0.4423, decode.d3.loss_dice: 0.6678, decode.d4.loss_cls: 0.1705, decode.d4.loss_mask: 0.4409, decode.d4.loss_dice: 0.6656, decode.d5.loss_cls: 0.1605, decode.d5.loss_mask: 0.4407, decode.d5.loss_dice: 0.6689, decode.d6.loss_cls: 0.1593, decode.d6.loss_mask: 0.4401, decode.d6.loss_dice: 0.6649, decode.d7.loss_cls: 0.1586, decode.d7.loss_mask: 0.4411, decode.d7.loss_dice: 0.6636, decode.d8.loss_cls: 0.1604, decode.d8.loss_mask: 0.4400, decode.d8.loss_dice: 0.6629, loss: 14.0266, grad_norm: 67.2432 2023-11-22 22:36:46,660 - mmseg - INFO - Iter [155900/160000] lr: 2.441e-07, eta: 0:40:00, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1422, decode.loss_mask: 0.4030, decode.loss_dice: 0.6296, decode.d0.loss_cls: 1.2254, decode.d0.loss_mask: 0.4362, decode.d0.loss_dice: 0.6894, decode.d1.loss_cls: 0.2195, decode.d1.loss_mask: 0.4186, decode.d1.loss_dice: 0.6687, decode.d2.loss_cls: 0.1764, decode.d2.loss_mask: 0.4102, decode.d2.loss_dice: 0.6453, decode.d3.loss_cls: 0.1612, decode.d3.loss_mask: 0.4076, decode.d3.loss_dice: 0.6350, decode.d4.loss_cls: 0.1591, decode.d4.loss_mask: 0.4064, decode.d4.loss_dice: 0.6368, decode.d5.loss_cls: 0.1472, decode.d5.loss_mask: 0.4048, decode.d5.loss_dice: 0.6333, decode.d6.loss_cls: 0.1471, decode.d6.loss_mask: 0.4035, decode.d6.loss_dice: 0.6341, decode.d7.loss_cls: 0.1453, decode.d7.loss_mask: 0.4031, decode.d7.loss_dice: 0.6291, decode.d8.loss_cls: 0.1429, decode.d8.loss_mask: 0.4043, decode.d8.loss_dice: 0.6301, loss: 13.1953, grad_norm: 62.9109 2023-11-22 22:37:14,831 - mmseg - INFO - Iter [155950/160000] lr: 2.412e-07, eta: 0:39:31, time: 0.563, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1471, decode.loss_mask: 0.4179, decode.loss_dice: 0.6277, decode.d0.loss_cls: 1.2233, decode.d0.loss_mask: 0.4539, decode.d0.loss_dice: 0.6959, decode.d1.loss_cls: 0.2171, decode.d1.loss_mask: 0.4332, decode.d1.loss_dice: 0.6681, decode.d2.loss_cls: 0.1834, decode.d2.loss_mask: 0.4244, decode.d2.loss_dice: 0.6433, decode.d3.loss_cls: 0.1658, decode.d3.loss_mask: 0.4201, decode.d3.loss_dice: 0.6355, decode.d4.loss_cls: 0.1630, decode.d4.loss_mask: 0.4190, decode.d4.loss_dice: 0.6343, decode.d5.loss_cls: 0.1556, decode.d5.loss_mask: 0.4200, decode.d5.loss_dice: 0.6329, decode.d6.loss_cls: 0.1550, decode.d6.loss_mask: 0.4185, decode.d6.loss_dice: 0.6315, decode.d7.loss_cls: 0.1514, decode.d7.loss_mask: 0.4181, decode.d7.loss_dice: 0.6300, decode.d8.loss_cls: 0.1484, decode.d8.loss_mask: 0.4176, decode.d8.loss_dice: 0.6321, loss: 13.3841, grad_norm: 66.1528 2023-11-22 22:37:43,201 - mmseg - INFO - Saving checkpoint at 156000 iterations 2023-11-22 22:37:50,674 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 22:37:50,674 - mmseg - INFO - Iter [156000/160000] lr: 2.382e-07, eta: 0:39:02, time: 0.717, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1456, decode.loss_mask: 0.4278, decode.loss_dice: 0.6557, decode.d0.loss_cls: 1.2258, decode.d0.loss_mask: 0.4591, decode.d0.loss_dice: 0.7167, decode.d1.loss_cls: 0.2180, decode.d1.loss_mask: 0.4419, decode.d1.loss_dice: 0.6876, decode.d2.loss_cls: 0.1889, decode.d2.loss_mask: 0.4344, decode.d2.loss_dice: 0.6675, decode.d3.loss_cls: 0.1664, decode.d3.loss_mask: 0.4321, decode.d3.loss_dice: 0.6550, decode.d4.loss_cls: 0.1603, decode.d4.loss_mask: 0.4315, decode.d4.loss_dice: 0.6579, decode.d5.loss_cls: 0.1520, decode.d5.loss_mask: 0.4315, decode.d5.loss_dice: 0.6614, decode.d6.loss_cls: 0.1487, decode.d6.loss_mask: 0.4295, decode.d6.loss_dice: 0.6596, decode.d7.loss_cls: 0.1480, decode.d7.loss_mask: 0.4286, decode.d7.loss_dice: 0.6528, decode.d8.loss_cls: 0.1495, decode.d8.loss_mask: 0.4282, decode.d8.loss_dice: 0.6507, loss: 13.7127, grad_norm: 66.3595 2023-11-22 22:38:10,214 - mmseg - INFO - per class results: 2023-11-22 22:38:10,219 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.41 | 88.62 | | building | 83.81 | 91.47 | | sky | 95.03 | 97.79 | | floor | 84.3 | 91.29 | | tree | 76.11 | 88.12 | | ceiling | 86.09 | 92.66 | | road | 86.69 | 92.44 | | bed | 91.78 | 95.89 | | windowpane | 65.19 | 81.65 | | grass | 69.29 | 80.93 | | cabinet | 63.72 | 75.06 | | sidewalk | 67.06 | 79.15 | | person | 86.31 | 94.05 | | earth | 39.29 | 55.31 | | door | 54.66 | 70.34 | | table | 70.87 | 83.54 | | mountain | 59.01 | 75.11 | | plant | 55.42 | 67.53 | | curtain | 74.77 | 87.01 | | chair | 65.31 | 77.46 | | car | 87.63 | 93.83 | | water | 53.3 | 64.82 | | painting | 76.65 | 91.07 | | sofa | 76.81 | 88.68 | | shelf | 44.97 | 58.63 | | house | 44.41 | 70.39 | | sea | 56.93 | 84.39 | | mirror | 75.9 | 83.74 | | rug | 68.03 | 82.25 | | field | 36.06 | 60.03 | | armchair | 55.3 | 74.65 | | seat | 65.52 | 84.99 | | fence | 56.29 | 71.03 | | desk | 56.84 | 79.91 | | rock | 52.15 | 69.2 | | wardrobe | 46.45 | 69.64 | | lamp | 73.72 | 82.86 | | bathtub | 79.84 | 86.44 | | railing | 37.99 | 54.82 | | cushion | 67.39 | 77.45 | | base | 41.48 | 70.31 | | box | 33.88 | 44.62 | | column | 52.48 | 69.44 | | signboard | 40.52 | 58.51 | | chest of drawers | 36.56 | 59.72 | | counter | 47.86 | 57.11 | | sand | 37.05 | 52.33 | | sink | 81.16 | 85.91 | | skyscraper | 61.1 | 77.23 | | fireplace | 72.97 | 90.2 | | refrigerator | 77.05 | 83.59 | | grandstand | 45.51 | 76.47 | | path | 18.38 | 33.73 | | stairs | 36.5 | 42.43 | | runway | 72.33 | 93.33 | | case | 52.9 | 75.68 | | pool table | 95.29 | 97.77 | | pillow | 66.02 | 78.51 | | screen door | 78.24 | 85.47 | | stairway | 37.79 | 52.87 | | river | 9.7 | 21.35 | | bridge | 79.12 | 91.41 | | bookcase | 29.12 | 48.72 | | blind | 44.53 | 51.67 | | coffee table | 73.13 | 86.03 | | toilet | 91.62 | 94.0 | | flower | 42.82 | 64.54 | | book | 53.73 | 77.25 | | hill | 9.23 | 16.45 | | bench | 63.74 | 73.55 | | countertop | 62.46 | 80.5 | | stove | 87.1 | 90.16 | | palm | 54.5 | 81.15 | | kitchen island | 59.21 | 89.59 | | computer | 73.59 | 83.16 | | swivel chair | 46.27 | 64.44 | | boat | 37.53 | 56.89 | | bar | 66.78 | 74.55 | | arcade machine | 88.59 | 94.19 | | hovel | 68.97 | 76.33 | | bus | 84.79 | 97.4 | | towel | 77.87 | 89.06 | | light | 66.53 | 79.79 | | truck | 22.77 | 27.57 | | tower | 22.91 | 38.63 | | chandelier | 72.01 | 88.85 | | awning | 39.42 | 52.45 | | streetlight | 47.33 | 65.61 | | booth | 49.85 | 69.06 | | television receiver | 75.82 | 88.22 | | airplane | 41.99 | 76.78 | | dirt track | 11.19 | 15.55 | | apparel | 51.2 | 67.91 | | pole | 38.44 | 58.59 | | land | 3.15 | 6.63 | | bannister | 19.87 | 29.65 | | escalator | 29.21 | 32.81 | | ottoman | 57.47 | 76.96 | | bottle | 39.09 | 64.54 | | buffet | 48.66 | 66.1 | | poster | 27.95 | 43.47 | | stage | 27.37 | 47.54 | | van | 44.81 | 67.55 | | ship | 8.8 | 13.76 | | fountain | 21.52 | 21.9 | | conveyer belt | 75.28 | 95.54 | | canopy | 27.03 | 53.07 | | washer | 69.74 | 73.03 | | plaything | 42.3 | 60.09 | | swimming pool | 64.47 | 72.12 | | stool | 52.43 | 76.77 | | barrel | 92.68 | 98.01 | | basket | 42.24 | 54.54 | | waterfall | 76.46 | 86.39 | | tent | 89.61 | 98.31 | | bag | 23.32 | 32.19 | | minibike | 70.62 | 90.78 | | cradle | 90.84 | 97.56 | | oven | 24.89 | 69.61 | | ball | 58.85 | 66.22 | | food | 59.09 | 67.17 | | step | 25.08 | 33.1 | | tank | 61.97 | 66.22 | | trade name | 28.17 | 33.56 | | microwave | 43.57 | 48.03 | | pot | 54.88 | 66.39 | | animal | 57.36 | 58.71 | | bicycle | 62.58 | 80.86 | | lake | 55.77 | 63.64 | | dishwasher | 73.8 | 79.13 | | screen | 60.2 | 91.77 | | blanket | 37.32 | 52.59 | | sculpture | 71.07 | 89.08 | | hood | 73.82 | 78.19 | | sconce | 62.04 | 76.06 | | vase | 56.75 | 74.41 | | traffic light | 48.75 | 73.06 | | tray | 20.54 | 31.53 | | ashcan | 52.06 | 74.67 | | fan | 71.65 | 85.57 | | pier | 14.2 | 15.2 | | crt screen | 2.27 | 6.71 | | plate | 64.32 | 82.34 | | monitor | 8.92 | 11.74 | | bulletin board | 65.09 | 80.51 | | shower | 15.96 | 25.48 | | radiator | 70.02 | 83.86 | | glass | 24.07 | 26.37 | | clock | 57.22 | 68.67 | | flag | 74.28 | 83.37 | +---------------------+-------+-------+ 2023-11-22 22:38:10,219 - mmseg - INFO - Summary: 2023-11-22 22:38:10,219 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.04 | 55.32 | 68.76 | +-------+-------+-------+ 2023-11-22 22:38:10,220 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 22:38:10,220 - mmseg - INFO - Iter(val) [250] aAcc: 0.8504, mIoU: 0.5532, mAcc: 0.6876, IoU.wall: 0.8141, IoU.building: 0.8381, IoU.sky: 0.9503, IoU.floor: 0.8430, IoU.tree: 0.7611, IoU.ceiling: 0.8609, IoU.road: 0.8669, IoU.bed : 0.9178, IoU.windowpane: 0.6519, IoU.grass: 0.6929, IoU.cabinet: 0.6372, IoU.sidewalk: 0.6706, IoU.person: 0.8631, IoU.earth: 0.3929, IoU.door: 0.5466, IoU.table: 0.7087, IoU.mountain: 0.5901, IoU.plant: 0.5542, IoU.curtain: 0.7477, IoU.chair: 0.6531, IoU.car: 0.8763, IoU.water: 0.5330, IoU.painting: 0.7665, IoU.sofa: 0.7681, IoU.shelf: 0.4497, IoU.house: 0.4441, IoU.sea: 0.5693, IoU.mirror: 0.7590, IoU.rug: 0.6803, IoU.field: 0.3606, IoU.armchair: 0.5530, IoU.seat: 0.6552, IoU.fence: 0.5629, IoU.desk: 0.5684, IoU.rock: 0.5215, IoU.wardrobe: 0.4645, IoU.lamp: 0.7372, IoU.bathtub: 0.7984, IoU.railing: 0.3799, IoU.cushion: 0.6739, IoU.base: 0.4148, IoU.box: 0.3388, IoU.column: 0.5248, IoU.signboard: 0.4052, IoU.chest of drawers: 0.3656, IoU.counter: 0.4786, IoU.sand: 0.3705, IoU.sink: 0.8116, IoU.skyscraper: 0.6110, IoU.fireplace: 0.7297, IoU.refrigerator: 0.7705, IoU.grandstand: 0.4551, IoU.path: 0.1838, IoU.stairs: 0.3650, IoU.runway: 0.7233, IoU.case: 0.5290, IoU.pool table: 0.9529, IoU.pillow: 0.6602, IoU.screen door: 0.7824, IoU.stairway: 0.3779, IoU.river: 0.0970, IoU.bridge: 0.7912, IoU.bookcase: 0.2912, IoU.blind: 0.4453, IoU.coffee table: 0.7313, IoU.toilet: 0.9162, IoU.flower: 0.4282, IoU.book: 0.5373, IoU.hill: 0.0923, IoU.bench: 0.6374, IoU.countertop: 0.6246, IoU.stove: 0.8710, IoU.palm: 0.5450, IoU.kitchen island: 0.5921, IoU.computer: 0.7359, IoU.swivel chair: 0.4627, IoU.boat: 0.3753, IoU.bar: 0.6678, IoU.arcade machine: 0.8859, IoU.hovel: 0.6897, IoU.bus: 0.8479, IoU.towel: 0.7787, IoU.light: 0.6653, IoU.truck: 0.2277, IoU.tower: 0.2291, IoU.chandelier: 0.7201, IoU.awning: 0.3942, IoU.streetlight: 0.4733, IoU.booth: 0.4985, IoU.television receiver: 0.7582, IoU.airplane: 0.4199, IoU.dirt track: 0.1119, IoU.apparel: 0.5120, IoU.pole: 0.3844, IoU.land: 0.0315, IoU.bannister: 0.1987, IoU.escalator: 0.2921, IoU.ottoman: 0.5747, IoU.bottle: 0.3909, IoU.buffet: 0.4866, IoU.poster: 0.2795, IoU.stage: 0.2737, IoU.van: 0.4481, IoU.ship: 0.0880, IoU.fountain: 0.2152, IoU.conveyer belt: 0.7528, IoU.canopy: 0.2703, IoU.washer: 0.6974, IoU.plaything: 0.4230, IoU.swimming pool: 0.6447, IoU.stool: 0.5243, IoU.barrel: 0.9268, IoU.basket: 0.4224, IoU.waterfall: 0.7646, IoU.tent: 0.8961, IoU.bag: 0.2332, IoU.minibike: 0.7062, IoU.cradle: 0.9084, IoU.oven: 0.2489, IoU.ball: 0.5885, IoU.food: 0.5909, IoU.step: 0.2508, IoU.tank: 0.6197, IoU.trade name: 0.2817, IoU.microwave: 0.4357, IoU.pot: 0.5488, IoU.animal: 0.5736, IoU.bicycle: 0.6258, IoU.lake: 0.5577, IoU.dishwasher: 0.7380, IoU.screen: 0.6020, IoU.blanket: 0.3732, IoU.sculpture: 0.7107, IoU.hood: 0.7382, IoU.sconce: 0.6204, IoU.vase: 0.5675, IoU.traffic light: 0.4875, IoU.tray: 0.2054, IoU.ashcan: 0.5206, IoU.fan: 0.7165, IoU.pier: 0.1420, IoU.crt screen: 0.0227, IoU.plate: 0.6432, IoU.monitor: 0.0892, IoU.bulletin board: 0.6509, IoU.shower: 0.1596, IoU.radiator: 0.7002, IoU.glass: 0.2407, IoU.clock: 0.5722, IoU.flag: 0.7428, Acc.wall: 0.8862, Acc.building: 0.9147, Acc.sky: 0.9779, Acc.floor: 0.9129, Acc.tree: 0.8812, Acc.ceiling: 0.9266, Acc.road: 0.9244, Acc.bed : 0.9589, Acc.windowpane: 0.8165, Acc.grass: 0.8093, Acc.cabinet: 0.7506, Acc.sidewalk: 0.7915, Acc.person: 0.9405, Acc.earth: 0.5531, Acc.door: 0.7034, Acc.table: 0.8354, Acc.mountain: 0.7511, Acc.plant: 0.6753, Acc.curtain: 0.8701, Acc.chair: 0.7746, Acc.car: 0.9383, Acc.water: 0.6482, Acc.painting: 0.9107, Acc.sofa: 0.8868, Acc.shelf: 0.5863, Acc.house: 0.7039, Acc.sea: 0.8439, Acc.mirror: 0.8374, Acc.rug: 0.8225, Acc.field: 0.6003, Acc.armchair: 0.7465, Acc.seat: 0.8499, Acc.fence: 0.7103, Acc.desk: 0.7991, Acc.rock: 0.6920, Acc.wardrobe: 0.6964, Acc.lamp: 0.8286, Acc.bathtub: 0.8644, Acc.railing: 0.5482, Acc.cushion: 0.7745, Acc.base: 0.7031, Acc.box: 0.4462, Acc.column: 0.6944, Acc.signboard: 0.5851, Acc.chest of drawers: 0.5972, Acc.counter: 0.5711, Acc.sand: 0.5233, Acc.sink: 0.8591, Acc.skyscraper: 0.7723, Acc.fireplace: 0.9020, Acc.refrigerator: 0.8359, Acc.grandstand: 0.7647, Acc.path: 0.3373, Acc.stairs: 0.4243, Acc.runway: 0.9333, Acc.case: 0.7568, Acc.pool table: 0.9777, Acc.pillow: 0.7851, Acc.screen door: 0.8547, Acc.stairway: 0.5287, Acc.river: 0.2135, Acc.bridge: 0.9141, Acc.bookcase: 0.4872, Acc.blind: 0.5167, Acc.coffee table: 0.8603, Acc.toilet: 0.9400, Acc.flower: 0.6454, Acc.book: 0.7725, Acc.hill: 0.1645, Acc.bench: 0.7355, Acc.countertop: 0.8050, Acc.stove: 0.9016, Acc.palm: 0.8115, Acc.kitchen island: 0.8959, Acc.computer: 0.8316, Acc.swivel chair: 0.6444, Acc.boat: 0.5689, Acc.bar: 0.7455, Acc.arcade machine: 0.9419, Acc.hovel: 0.7633, Acc.bus: 0.9740, Acc.towel: 0.8906, Acc.light: 0.7979, Acc.truck: 0.2757, Acc.tower: 0.3863, Acc.chandelier: 0.8885, Acc.awning: 0.5245, Acc.streetlight: 0.6561, Acc.booth: 0.6906, Acc.television receiver: 0.8822, Acc.airplane: 0.7678, Acc.dirt track: 0.1555, Acc.apparel: 0.6791, Acc.pole: 0.5859, Acc.land: 0.0663, Acc.bannister: 0.2965, Acc.escalator: 0.3281, Acc.ottoman: 0.7696, Acc.bottle: 0.6454, Acc.buffet: 0.6610, Acc.poster: 0.4347, Acc.stage: 0.4754, Acc.van: 0.6755, Acc.ship: 0.1376, Acc.fountain: 0.2190, Acc.conveyer belt: 0.9554, Acc.canopy: 0.5307, Acc.washer: 0.7303, Acc.plaything: 0.6009, Acc.swimming pool: 0.7212, Acc.stool: 0.7677, Acc.barrel: 0.9801, Acc.basket: 0.5454, Acc.waterfall: 0.8639, Acc.tent: 0.9831, Acc.bag: 0.3219, Acc.minibike: 0.9078, Acc.cradle: 0.9756, Acc.oven: 0.6961, Acc.ball: 0.6622, Acc.food: 0.6717, Acc.step: 0.3310, Acc.tank: 0.6622, Acc.trade name: 0.3356, Acc.microwave: 0.4803, Acc.pot: 0.6639, Acc.animal: 0.5871, Acc.bicycle: 0.8086, Acc.lake: 0.6364, Acc.dishwasher: 0.7913, Acc.screen: 0.9177, Acc.blanket: 0.5259, Acc.sculpture: 0.8908, Acc.hood: 0.7819, Acc.sconce: 0.7606, Acc.vase: 0.7441, Acc.traffic light: 0.7306, Acc.tray: 0.3153, Acc.ashcan: 0.7467, Acc.fan: 0.8557, Acc.pier: 0.1520, Acc.crt screen: 0.0671, Acc.plate: 0.8234, Acc.monitor: 0.1174, Acc.bulletin board: 0.8051, Acc.shower: 0.2548, Acc.radiator: 0.8386, Acc.glass: 0.2637, Acc.clock: 0.6867, Acc.flag: 0.8337 2023-11-22 22:38:38,726 - mmseg - INFO - Iter [156050/160000] lr: 2.352e-07, eta: 0:38:33, time: 0.961, data_time: 0.405, memory: 38143, decode.loss_cls: 0.1547, decode.loss_mask: 0.4125, decode.loss_dice: 0.6538, decode.d0.loss_cls: 1.2374, decode.d0.loss_mask: 0.4458, decode.d0.loss_dice: 0.7153, decode.d1.loss_cls: 0.2317, decode.d1.loss_mask: 0.4281, decode.d1.loss_dice: 0.6836, decode.d2.loss_cls: 0.1908, decode.d2.loss_mask: 0.4208, decode.d2.loss_dice: 0.6685, decode.d3.loss_cls: 0.1767, decode.d3.loss_mask: 0.4157, decode.d3.loss_dice: 0.6608, decode.d4.loss_cls: 0.1673, decode.d4.loss_mask: 0.4158, decode.d4.loss_dice: 0.6567, decode.d5.loss_cls: 0.1642, decode.d5.loss_mask: 0.4126, decode.d5.loss_dice: 0.6552, decode.d6.loss_cls: 0.1610, decode.d6.loss_mask: 0.4126, decode.d6.loss_dice: 0.6547, decode.d7.loss_cls: 0.1559, decode.d7.loss_mask: 0.4136, decode.d7.loss_dice: 0.6549, decode.d8.loss_cls: 0.1545, decode.d8.loss_mask: 0.4128, decode.d8.loss_dice: 0.6533, loss: 13.6410, grad_norm: 65.5353 2023-11-22 22:39:07,305 - mmseg - INFO - Iter [156100/160000] lr: 2.322e-07, eta: 0:38:04, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1622, decode.loss_mask: 0.4099, decode.loss_dice: 0.6453, decode.d0.loss_cls: 1.2712, decode.d0.loss_mask: 0.4473, decode.d0.loss_dice: 0.7240, decode.d1.loss_cls: 0.2393, decode.d1.loss_mask: 0.4256, decode.d1.loss_dice: 0.6824, decode.d2.loss_cls: 0.1992, decode.d2.loss_mask: 0.4177, decode.d2.loss_dice: 0.6656, decode.d3.loss_cls: 0.1857, decode.d3.loss_mask: 0.4133, decode.d3.loss_dice: 0.6537, decode.d4.loss_cls: 0.1767, decode.d4.loss_mask: 0.4122, decode.d4.loss_dice: 0.6531, decode.d5.loss_cls: 0.1731, decode.d5.loss_mask: 0.4113, decode.d5.loss_dice: 0.6482, decode.d6.loss_cls: 0.1695, decode.d6.loss_mask: 0.4120, decode.d6.loss_dice: 0.6472, decode.d7.loss_cls: 0.1659, decode.d7.loss_mask: 0.4109, decode.d7.loss_dice: 0.6502, decode.d8.loss_cls: 0.1657, decode.d8.loss_mask: 0.4110, decode.d8.loss_dice: 0.6506, loss: 13.6997, grad_norm: 65.2418 2023-11-22 22:39:35,621 - mmseg - INFO - Iter [156150/160000] lr: 2.293e-07, eta: 0:37:34, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1548, decode.loss_mask: 0.4181, decode.loss_dice: 0.6429, decode.d0.loss_cls: 1.2718, decode.d0.loss_mask: 0.4529, decode.d0.loss_dice: 0.7112, decode.d1.loss_cls: 0.2234, decode.d1.loss_mask: 0.4338, decode.d1.loss_dice: 0.6751, decode.d2.loss_cls: 0.1853, decode.d2.loss_mask: 0.4257, decode.d2.loss_dice: 0.6602, decode.d3.loss_cls: 0.1758, decode.d3.loss_mask: 0.4215, decode.d3.loss_dice: 0.6473, decode.d4.loss_cls: 0.1663, decode.d4.loss_mask: 0.4215, decode.d4.loss_dice: 0.6469, decode.d5.loss_cls: 0.1641, decode.d5.loss_mask: 0.4212, decode.d5.loss_dice: 0.6469, decode.d6.loss_cls: 0.1614, decode.d6.loss_mask: 0.4187, decode.d6.loss_dice: 0.6428, decode.d7.loss_cls: 0.1571, decode.d7.loss_mask: 0.4195, decode.d7.loss_dice: 0.6441, decode.d8.loss_cls: 0.1605, decode.d8.loss_mask: 0.4178, decode.d8.loss_dice: 0.6428, loss: 13.6315, grad_norm: 62.4825 2023-11-22 22:40:03,941 - mmseg - INFO - Iter [156200/160000] lr: 2.263e-07, eta: 0:37:05, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1554, decode.loss_mask: 0.4217, decode.loss_dice: 0.6369, decode.d0.loss_cls: 1.2345, decode.d0.loss_mask: 0.4588, decode.d0.loss_dice: 0.7072, decode.d1.loss_cls: 0.2305, decode.d1.loss_mask: 0.4357, decode.d1.loss_dice: 0.6688, decode.d2.loss_cls: 0.1928, decode.d2.loss_mask: 0.4275, decode.d2.loss_dice: 0.6523, decode.d3.loss_cls: 0.1732, decode.d3.loss_mask: 0.4249, decode.d3.loss_dice: 0.6465, decode.d4.loss_cls: 0.1664, decode.d4.loss_mask: 0.4231, decode.d4.loss_dice: 0.6392, decode.d5.loss_cls: 0.1618, decode.d5.loss_mask: 0.4223, decode.d5.loss_dice: 0.6446, decode.d6.loss_cls: 0.1578, decode.d6.loss_mask: 0.4211, decode.d6.loss_dice: 0.6423, decode.d7.loss_cls: 0.1573, decode.d7.loss_mask: 0.4214, decode.d7.loss_dice: 0.6386, decode.d8.loss_cls: 0.1608, decode.d8.loss_mask: 0.4223, decode.d8.loss_dice: 0.6391, loss: 13.5845, grad_norm: 63.6110 2023-11-22 22:40:32,325 - mmseg - INFO - Iter [156250/160000] lr: 2.233e-07, eta: 0:36:36, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1443, decode.loss_mask: 0.4076, decode.loss_dice: 0.6331, decode.d0.loss_cls: 1.2221, decode.d0.loss_mask: 0.4432, decode.d0.loss_dice: 0.6979, decode.d1.loss_cls: 0.2205, decode.d1.loss_mask: 0.4221, decode.d1.loss_dice: 0.6650, decode.d2.loss_cls: 0.1781, decode.d2.loss_mask: 0.4152, decode.d2.loss_dice: 0.6492, decode.d3.loss_cls: 0.1619, decode.d3.loss_mask: 0.4110, decode.d3.loss_dice: 0.6381, decode.d4.loss_cls: 0.1528, decode.d4.loss_mask: 0.4101, decode.d4.loss_dice: 0.6381, decode.d5.loss_cls: 0.1515, decode.d5.loss_mask: 0.4088, decode.d5.loss_dice: 0.6340, decode.d6.loss_cls: 0.1485, decode.d6.loss_mask: 0.4085, decode.d6.loss_dice: 0.6357, decode.d7.loss_cls: 0.1410, decode.d7.loss_mask: 0.4081, decode.d7.loss_dice: 0.6318, decode.d8.loss_cls: 0.1460, decode.d8.loss_mask: 0.4072, decode.d8.loss_dice: 0.6344, loss: 13.2662, grad_norm: 57.4791 2023-11-22 22:41:00,785 - mmseg - INFO - Iter [156300/160000] lr: 2.203e-07, eta: 0:36:06, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1480, decode.loss_mask: 0.4329, decode.loss_dice: 0.6463, decode.d0.loss_cls: 1.2278, decode.d0.loss_mask: 0.4612, decode.d0.loss_dice: 0.7105, decode.d1.loss_cls: 0.2268, decode.d1.loss_mask: 0.4473, decode.d1.loss_dice: 0.6812, decode.d2.loss_cls: 0.1887, decode.d2.loss_mask: 0.4373, decode.d2.loss_dice: 0.6592, decode.d3.loss_cls: 0.1701, decode.d3.loss_mask: 0.4340, decode.d3.loss_dice: 0.6490, decode.d4.loss_cls: 0.1638, decode.d4.loss_mask: 0.4339, decode.d4.loss_dice: 0.6502, decode.d5.loss_cls: 0.1591, decode.d5.loss_mask: 0.4336, decode.d5.loss_dice: 0.6487, decode.d6.loss_cls: 0.1574, decode.d6.loss_mask: 0.4323, decode.d6.loss_dice: 0.6440, decode.d7.loss_cls: 0.1522, decode.d7.loss_mask: 0.4311, decode.d7.loss_dice: 0.6449, decode.d8.loss_cls: 0.1529, decode.d8.loss_mask: 0.4327, decode.d8.loss_dice: 0.6463, loss: 13.7034, grad_norm: 68.2086 2023-11-22 22:41:29,437 - mmseg - INFO - Iter [156350/160000] lr: 2.173e-07, eta: 0:35:37, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1594, decode.loss_mask: 0.4344, decode.loss_dice: 0.6512, decode.d0.loss_cls: 1.2566, decode.d0.loss_mask: 0.4608, decode.d0.loss_dice: 0.7222, decode.d1.loss_cls: 0.2357, decode.d1.loss_mask: 0.4471, decode.d1.loss_dice: 0.6790, decode.d2.loss_cls: 0.1975, decode.d2.loss_mask: 0.4392, decode.d2.loss_dice: 0.6648, decode.d3.loss_cls: 0.1791, decode.d3.loss_mask: 0.4357, decode.d3.loss_dice: 0.6575, decode.d4.loss_cls: 0.1711, decode.d4.loss_mask: 0.4340, decode.d4.loss_dice: 0.6549, decode.d5.loss_cls: 0.1693, decode.d5.loss_mask: 0.4332, decode.d5.loss_dice: 0.6539, decode.d6.loss_cls: 0.1653, decode.d6.loss_mask: 0.4344, decode.d6.loss_dice: 0.6504, decode.d7.loss_cls: 0.1606, decode.d7.loss_mask: 0.4339, decode.d7.loss_dice: 0.6505, decode.d8.loss_cls: 0.1634, decode.d8.loss_mask: 0.4325, decode.d8.loss_dice: 0.6462, loss: 13.8739, grad_norm: 63.2249 2023-11-22 22:41:58,226 - mmseg - INFO - Iter [156400/160000] lr: 2.144e-07, eta: 0:35:08, time: 0.576, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1601, decode.loss_mask: 0.4187, decode.loss_dice: 0.6505, decode.d0.loss_cls: 1.2682, decode.d0.loss_mask: 0.4543, decode.d0.loss_dice: 0.7186, decode.d1.loss_cls: 0.2378, decode.d1.loss_mask: 0.4359, decode.d1.loss_dice: 0.6852, decode.d2.loss_cls: 0.1948, decode.d2.loss_mask: 0.4261, decode.d2.loss_dice: 0.6637, decode.d3.loss_cls: 0.1769, decode.d3.loss_mask: 0.4240, decode.d3.loss_dice: 0.6560, decode.d4.loss_cls: 0.1692, decode.d4.loss_mask: 0.4226, decode.d4.loss_dice: 0.6556, decode.d5.loss_cls: 0.1684, decode.d5.loss_mask: 0.4207, decode.d5.loss_dice: 0.6540, decode.d6.loss_cls: 0.1668, decode.d6.loss_mask: 0.4195, decode.d6.loss_dice: 0.6488, decode.d7.loss_cls: 0.1645, decode.d7.loss_mask: 0.4177, decode.d7.loss_dice: 0.6463, decode.d8.loss_cls: 0.1625, decode.d8.loss_mask: 0.4185, decode.d8.loss_dice: 0.6480, loss: 13.7542, grad_norm: 62.7491 2023-11-22 22:42:26,557 - mmseg - INFO - Iter [156450/160000] lr: 2.114e-07, eta: 0:34:38, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1662, decode.loss_mask: 0.4132, decode.loss_dice: 0.6411, decode.d0.loss_cls: 1.2286, decode.d0.loss_mask: 0.4498, decode.d0.loss_dice: 0.7106, decode.d1.loss_cls: 0.2376, decode.d1.loss_mask: 0.4323, decode.d1.loss_dice: 0.6704, decode.d2.loss_cls: 0.1950, decode.d2.loss_mask: 0.4228, decode.d2.loss_dice: 0.6576, decode.d3.loss_cls: 0.1829, decode.d3.loss_mask: 0.4192, decode.d3.loss_dice: 0.6483, decode.d4.loss_cls: 0.1752, decode.d4.loss_mask: 0.4198, decode.d4.loss_dice: 0.6458, decode.d5.loss_cls: 0.1723, decode.d5.loss_mask: 0.4163, decode.d5.loss_dice: 0.6450, decode.d6.loss_cls: 0.1686, decode.d6.loss_mask: 0.4141, decode.d6.loss_dice: 0.6400, decode.d7.loss_cls: 0.1599, decode.d7.loss_mask: 0.4156, decode.d7.loss_dice: 0.6433, decode.d8.loss_cls: 0.1640, decode.d8.loss_mask: 0.4134, decode.d8.loss_dice: 0.6417, loss: 13.6107, grad_norm: 63.8755 2023-11-22 22:42:54,698 - mmseg - INFO - Iter [156500/160000] lr: 2.084e-07, eta: 0:34:09, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1571, decode.loss_mask: 0.4488, decode.loss_dice: 0.6598, decode.d0.loss_cls: 1.2033, decode.d0.loss_mask: 0.4876, decode.d0.loss_dice: 0.7260, decode.d1.loss_cls: 0.2259, decode.d1.loss_mask: 0.4660, decode.d1.loss_dice: 0.6885, decode.d2.loss_cls: 0.1880, decode.d2.loss_mask: 0.4556, decode.d2.loss_dice: 0.6813, decode.d3.loss_cls: 0.1743, decode.d3.loss_mask: 0.4520, decode.d3.loss_dice: 0.6660, decode.d4.loss_cls: 0.1679, decode.d4.loss_mask: 0.4514, decode.d4.loss_dice: 0.6634, decode.d5.loss_cls: 0.1623, decode.d5.loss_mask: 0.4482, decode.d5.loss_dice: 0.6631, decode.d6.loss_cls: 0.1596, decode.d6.loss_mask: 0.4482, decode.d6.loss_dice: 0.6624, decode.d7.loss_cls: 0.1536, decode.d7.loss_mask: 0.4481, decode.d7.loss_dice: 0.6591, decode.d8.loss_cls: 0.1555, decode.d8.loss_mask: 0.4486, decode.d8.loss_dice: 0.6564, loss: 14.0277, grad_norm: 72.1063 2023-11-22 22:43:23,107 - mmseg - INFO - Iter [156550/160000] lr: 2.054e-07, eta: 0:33:40, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1503, decode.loss_mask: 0.4239, decode.loss_dice: 0.6423, decode.d0.loss_cls: 1.2140, decode.d0.loss_mask: 0.4516, decode.d0.loss_dice: 0.7060, decode.d1.loss_cls: 0.2346, decode.d1.loss_mask: 0.4372, decode.d1.loss_dice: 0.6684, decode.d2.loss_cls: 0.1830, decode.d2.loss_mask: 0.4274, decode.d2.loss_dice: 0.6572, decode.d3.loss_cls: 0.1703, decode.d3.loss_mask: 0.4248, decode.d3.loss_dice: 0.6471, decode.d4.loss_cls: 0.1600, decode.d4.loss_mask: 0.4259, decode.d4.loss_dice: 0.6420, decode.d5.loss_cls: 0.1562, decode.d5.loss_mask: 0.4251, decode.d5.loss_dice: 0.6448, decode.d6.loss_cls: 0.1552, decode.d6.loss_mask: 0.4252, decode.d6.loss_dice: 0.6451, decode.d7.loss_cls: 0.1521, decode.d7.loss_mask: 0.4236, decode.d7.loss_dice: 0.6397, decode.d8.loss_cls: 0.1490, decode.d8.loss_mask: 0.4238, decode.d8.loss_dice: 0.6391, loss: 13.5451, grad_norm: 69.3835 2023-11-22 22:43:51,526 - mmseg - INFO - Iter [156600/160000] lr: 2.025e-07, eta: 0:33:11, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1653, decode.loss_mask: 0.4143, decode.loss_dice: 0.6509, decode.d0.loss_cls: 1.2504, decode.d0.loss_mask: 0.4471, decode.d0.loss_dice: 0.7195, decode.d1.loss_cls: 0.2481, decode.d1.loss_mask: 0.4295, decode.d1.loss_dice: 0.6865, decode.d2.loss_cls: 0.2061, decode.d2.loss_mask: 0.4215, decode.d2.loss_dice: 0.6678, decode.d3.loss_cls: 0.1864, decode.d3.loss_mask: 0.4184, decode.d3.loss_dice: 0.6541, decode.d4.loss_cls: 0.1791, decode.d4.loss_mask: 0.4162, decode.d4.loss_dice: 0.6549, decode.d5.loss_cls: 0.1736, decode.d5.loss_mask: 0.4159, decode.d5.loss_dice: 0.6538, decode.d6.loss_cls: 0.1685, decode.d6.loss_mask: 0.4150, decode.d6.loss_dice: 0.6519, decode.d7.loss_cls: 0.1683, decode.d7.loss_mask: 0.4149, decode.d7.loss_dice: 0.6521, decode.d8.loss_cls: 0.1639, decode.d8.loss_mask: 0.4144, decode.d8.loss_dice: 0.6500, loss: 13.7587, grad_norm: 63.9564 2023-11-22 22:44:22,474 - mmseg - INFO - Iter [156650/160000] lr: 1.995e-07, eta: 0:32:41, time: 0.619, data_time: 0.060, memory: 38143, decode.loss_cls: 0.1632, decode.loss_mask: 0.4314, decode.loss_dice: 0.6691, decode.d0.loss_cls: 1.2740, decode.d0.loss_mask: 0.4641, decode.d0.loss_dice: 0.7437, decode.d1.loss_cls: 0.2430, decode.d1.loss_mask: 0.4475, decode.d1.loss_dice: 0.7013, decode.d2.loss_cls: 0.1978, decode.d2.loss_mask: 0.4412, decode.d2.loss_dice: 0.6875, decode.d3.loss_cls: 0.1858, decode.d3.loss_mask: 0.4366, decode.d3.loss_dice: 0.6759, decode.d4.loss_cls: 0.1800, decode.d4.loss_mask: 0.4354, decode.d4.loss_dice: 0.6783, decode.d5.loss_cls: 0.1727, decode.d5.loss_mask: 0.4337, decode.d5.loss_dice: 0.6721, decode.d6.loss_cls: 0.1704, decode.d6.loss_mask: 0.4332, decode.d6.loss_dice: 0.6706, decode.d7.loss_cls: 0.1690, decode.d7.loss_mask: 0.4336, decode.d7.loss_dice: 0.6688, decode.d8.loss_cls: 0.1626, decode.d8.loss_mask: 0.4337, decode.d8.loss_dice: 0.6710, loss: 14.1470, grad_norm: 65.6909 2023-11-22 22:44:51,337 - mmseg - INFO - Iter [156700/160000] lr: 1.965e-07, eta: 0:32:12, time: 0.577, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1419, decode.loss_mask: 0.4275, decode.loss_dice: 0.6511, decode.d0.loss_cls: 1.2367, decode.d0.loss_mask: 0.4655, decode.d0.loss_dice: 0.7173, decode.d1.loss_cls: 0.2168, decode.d1.loss_mask: 0.4450, decode.d1.loss_dice: 0.6819, decode.d2.loss_cls: 0.1771, decode.d2.loss_mask: 0.4350, decode.d2.loss_dice: 0.6666, decode.d3.loss_cls: 0.1634, decode.d3.loss_mask: 0.4321, decode.d3.loss_dice: 0.6520, decode.d4.loss_cls: 0.1534, decode.d4.loss_mask: 0.4308, decode.d4.loss_dice: 0.6522, decode.d5.loss_cls: 0.1488, decode.d5.loss_mask: 0.4304, decode.d5.loss_dice: 0.6507, decode.d6.loss_cls: 0.1435, decode.d6.loss_mask: 0.4279, decode.d6.loss_dice: 0.6507, decode.d7.loss_cls: 0.1425, decode.d7.loss_mask: 0.4279, decode.d7.loss_dice: 0.6498, decode.d8.loss_cls: 0.1445, decode.d8.loss_mask: 0.4282, decode.d8.loss_dice: 0.6503, loss: 13.6415, grad_norm: 62.0985 2023-11-22 22:45:19,711 - mmseg - INFO - Iter [156750/160000] lr: 1.935e-07, eta: 0:31:43, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1472, decode.loss_mask: 0.4258, decode.loss_dice: 0.6397, decode.d0.loss_cls: 1.2333, decode.d0.loss_mask: 0.4589, decode.d0.loss_dice: 0.7103, decode.d1.loss_cls: 0.2238, decode.d1.loss_mask: 0.4424, decode.d1.loss_dice: 0.6758, decode.d2.loss_cls: 0.1782, decode.d2.loss_mask: 0.4354, decode.d2.loss_dice: 0.6614, decode.d3.loss_cls: 0.1638, decode.d3.loss_mask: 0.4314, decode.d3.loss_dice: 0.6488, decode.d4.loss_cls: 0.1574, decode.d4.loss_mask: 0.4300, decode.d4.loss_dice: 0.6457, decode.d5.loss_cls: 0.1557, decode.d5.loss_mask: 0.4273, decode.d5.loss_dice: 0.6455, decode.d6.loss_cls: 0.1481, decode.d6.loss_mask: 0.4268, decode.d6.loss_dice: 0.6435, decode.d7.loss_cls: 0.1481, decode.d7.loss_mask: 0.4265, decode.d7.loss_dice: 0.6438, decode.d8.loss_cls: 0.1471, decode.d8.loss_mask: 0.4254, decode.d8.loss_dice: 0.6429, loss: 13.5903, grad_norm: 64.4320 2023-11-22 22:45:48,114 - mmseg - INFO - Iter [156800/160000] lr: 1.906e-07, eta: 0:31:13, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1675, decode.loss_mask: 0.4366, decode.loss_dice: 0.6644, decode.d0.loss_cls: 1.2381, decode.d0.loss_mask: 0.4687, decode.d0.loss_dice: 0.7327, decode.d1.loss_cls: 0.2461, decode.d1.loss_mask: 0.4517, decode.d1.loss_dice: 0.6996, decode.d2.loss_cls: 0.2003, decode.d2.loss_mask: 0.4451, decode.d2.loss_dice: 0.6807, decode.d3.loss_cls: 0.1859, decode.d3.loss_mask: 0.4393, decode.d3.loss_dice: 0.6655, decode.d4.loss_cls: 0.1707, decode.d4.loss_mask: 0.4395, decode.d4.loss_dice: 0.6691, decode.d5.loss_cls: 0.1749, decode.d5.loss_mask: 0.4376, decode.d5.loss_dice: 0.6671, decode.d6.loss_cls: 0.1635, decode.d6.loss_mask: 0.4386, decode.d6.loss_dice: 0.6667, decode.d7.loss_cls: 0.1662, decode.d7.loss_mask: 0.4371, decode.d7.loss_dice: 0.6633, decode.d8.loss_cls: 0.1667, decode.d8.loss_mask: 0.4362, decode.d8.loss_dice: 0.6656, loss: 14.0851, grad_norm: 67.5518 2023-11-22 22:46:16,596 - mmseg - INFO - Iter [156850/160000] lr: 1.876e-07, eta: 0:30:44, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1759, decode.loss_mask: 0.4222, decode.loss_dice: 0.6451, decode.d0.loss_cls: 1.2730, decode.d0.loss_mask: 0.4579, decode.d0.loss_dice: 0.7174, decode.d1.loss_cls: 0.2511, decode.d1.loss_mask: 0.4381, decode.d1.loss_dice: 0.6741, decode.d2.loss_cls: 0.1989, decode.d2.loss_mask: 0.4310, decode.d2.loss_dice: 0.6629, decode.d3.loss_cls: 0.1889, decode.d3.loss_mask: 0.4241, decode.d3.loss_dice: 0.6480, decode.d4.loss_cls: 0.1839, decode.d4.loss_mask: 0.4251, decode.d4.loss_dice: 0.6458, decode.d5.loss_cls: 0.1783, decode.d5.loss_mask: 0.4252, decode.d5.loss_dice: 0.6440, decode.d6.loss_cls: 0.1797, decode.d6.loss_mask: 0.4223, decode.d6.loss_dice: 0.6460, decode.d7.loss_cls: 0.1746, decode.d7.loss_mask: 0.4221, decode.d7.loss_dice: 0.6429, decode.d8.loss_cls: 0.1723, decode.d8.loss_mask: 0.4221, decode.d8.loss_dice: 0.6436, loss: 13.8366, grad_norm: 65.4940 2023-11-22 22:46:45,231 - mmseg - INFO - Iter [156900/160000] lr: 1.846e-07, eta: 0:30:15, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1519, decode.loss_mask: 0.4175, decode.loss_dice: 0.6413, decode.d0.loss_cls: 1.2046, decode.d0.loss_mask: 0.4473, decode.d0.loss_dice: 0.7041, decode.d1.loss_cls: 0.2207, decode.d1.loss_mask: 0.4310, decode.d1.loss_dice: 0.6676, decode.d2.loss_cls: 0.1775, decode.d2.loss_mask: 0.4233, decode.d2.loss_dice: 0.6561, decode.d3.loss_cls: 0.1691, decode.d3.loss_mask: 0.4213, decode.d3.loss_dice: 0.6484, decode.d4.loss_cls: 0.1597, decode.d4.loss_mask: 0.4201, decode.d4.loss_dice: 0.6479, decode.d5.loss_cls: 0.1555, decode.d5.loss_mask: 0.4181, decode.d5.loss_dice: 0.6444, decode.d6.loss_cls: 0.1576, decode.d6.loss_mask: 0.4185, decode.d6.loss_dice: 0.6445, decode.d7.loss_cls: 0.1526, decode.d7.loss_mask: 0.4173, decode.d7.loss_dice: 0.6429, decode.d8.loss_cls: 0.1486, decode.d8.loss_mask: 0.4184, decode.d8.loss_dice: 0.6437, loss: 13.4715, grad_norm: 68.5830 2023-11-22 22:47:13,785 - mmseg - INFO - Iter [156950/160000] lr: 1.816e-07, eta: 0:29:45, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1522, decode.loss_mask: 0.4106, decode.loss_dice: 0.6268, decode.d0.loss_cls: 1.2231, decode.d0.loss_mask: 0.4493, decode.d0.loss_dice: 0.6938, decode.d1.loss_cls: 0.2275, decode.d1.loss_mask: 0.4271, decode.d1.loss_dice: 0.6586, decode.d2.loss_cls: 0.1852, decode.d2.loss_mask: 0.4182, decode.d2.loss_dice: 0.6444, decode.d3.loss_cls: 0.1694, decode.d3.loss_mask: 0.4142, decode.d3.loss_dice: 0.6346, decode.d4.loss_cls: 0.1617, decode.d4.loss_mask: 0.4136, decode.d4.loss_dice: 0.6314, decode.d5.loss_cls: 0.1602, decode.d5.loss_mask: 0.4117, decode.d5.loss_dice: 0.6294, decode.d6.loss_cls: 0.1557, decode.d6.loss_mask: 0.4114, decode.d6.loss_dice: 0.6277, decode.d7.loss_cls: 0.1519, decode.d7.loss_mask: 0.4103, decode.d7.loss_dice: 0.6259, decode.d8.loss_cls: 0.1534, decode.d8.loss_mask: 0.4102, decode.d8.loss_dice: 0.6273, loss: 13.3169, grad_norm: 62.7566 2023-11-22 22:47:42,426 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 22:47:42,426 - mmseg - INFO - Iter [157000/160000] lr: 1.787e-07, eta: 0:29:16, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1479, decode.loss_mask: 0.4376, decode.loss_dice: 0.6621, decode.d0.loss_cls: 1.2449, decode.d0.loss_mask: 0.4687, decode.d0.loss_dice: 0.7259, decode.d1.loss_cls: 0.2335, decode.d1.loss_mask: 0.4539, decode.d1.loss_dice: 0.6910, decode.d2.loss_cls: 0.1841, decode.d2.loss_mask: 0.4462, decode.d2.loss_dice: 0.6795, decode.d3.loss_cls: 0.1721, decode.d3.loss_mask: 0.4422, decode.d3.loss_dice: 0.6668, decode.d4.loss_cls: 0.1607, decode.d4.loss_mask: 0.4405, decode.d4.loss_dice: 0.6679, decode.d5.loss_cls: 0.1616, decode.d5.loss_mask: 0.4407, decode.d5.loss_dice: 0.6621, decode.d6.loss_cls: 0.1557, decode.d6.loss_mask: 0.4396, decode.d6.loss_dice: 0.6616, decode.d7.loss_cls: 0.1516, decode.d7.loss_mask: 0.4388, decode.d7.loss_dice: 0.6599, decode.d8.loss_cls: 0.1484, decode.d8.loss_mask: 0.4383, decode.d8.loss_dice: 0.6670, loss: 13.9509, grad_norm: 67.3096 2023-11-22 22:48:10,643 - mmseg - INFO - Iter [157050/160000] lr: 1.757e-07, eta: 0:28:47, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1494, decode.loss_mask: 0.4201, decode.loss_dice: 0.6402, decode.d0.loss_cls: 1.2495, decode.d0.loss_mask: 0.4520, decode.d0.loss_dice: 0.7092, decode.d1.loss_cls: 0.2271, decode.d1.loss_mask: 0.4342, decode.d1.loss_dice: 0.6683, decode.d2.loss_cls: 0.1834, decode.d2.loss_mask: 0.4266, decode.d2.loss_dice: 0.6598, decode.d3.loss_cls: 0.1711, decode.d3.loss_mask: 0.4220, decode.d3.loss_dice: 0.6457, decode.d4.loss_cls: 0.1646, decode.d4.loss_mask: 0.4205, decode.d4.loss_dice: 0.6442, decode.d5.loss_cls: 0.1558, decode.d5.loss_mask: 0.4215, decode.d5.loss_dice: 0.6451, decode.d6.loss_cls: 0.1549, decode.d6.loss_mask: 0.4224, decode.d6.loss_dice: 0.6423, decode.d7.loss_cls: 0.1540, decode.d7.loss_mask: 0.4203, decode.d7.loss_dice: 0.6431, decode.d8.loss_cls: 0.1533, decode.d8.loss_mask: 0.4205, decode.d8.loss_dice: 0.6402, loss: 13.5612, grad_norm: 66.2935 2023-11-22 22:48:39,014 - mmseg - INFO - Iter [157100/160000] lr: 1.727e-07, eta: 0:28:18, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1557, decode.loss_mask: 0.4175, decode.loss_dice: 0.6596, decode.d0.loss_cls: 1.2676, decode.d0.loss_mask: 0.4490, decode.d0.loss_dice: 0.7366, decode.d1.loss_cls: 0.2448, decode.d1.loss_mask: 0.4299, decode.d1.loss_dice: 0.6962, decode.d2.loss_cls: 0.2001, decode.d2.loss_mask: 0.4237, decode.d2.loss_dice: 0.6804, decode.d3.loss_cls: 0.1779, decode.d3.loss_mask: 0.4196, decode.d3.loss_dice: 0.6653, decode.d4.loss_cls: 0.1700, decode.d4.loss_mask: 0.4213, decode.d4.loss_dice: 0.6635, decode.d5.loss_cls: 0.1640, decode.d5.loss_mask: 0.4183, decode.d5.loss_dice: 0.6681, decode.d6.loss_cls: 0.1586, decode.d6.loss_mask: 0.4186, decode.d6.loss_dice: 0.6661, decode.d7.loss_cls: 0.1586, decode.d7.loss_mask: 0.4178, decode.d7.loss_dice: 0.6605, decode.d8.loss_cls: 0.1574, decode.d8.loss_mask: 0.4170, decode.d8.loss_dice: 0.6621, loss: 13.8458, grad_norm: 63.7895 2023-11-22 22:49:07,253 - mmseg - INFO - Iter [157150/160000] lr: 1.697e-07, eta: 0:27:48, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1498, decode.loss_mask: 0.4408, decode.loss_dice: 0.6550, decode.d0.loss_cls: 1.2081, decode.d0.loss_mask: 0.4717, decode.d0.loss_dice: 0.7109, decode.d1.loss_cls: 0.2271, decode.d1.loss_mask: 0.4559, decode.d1.loss_dice: 0.6867, decode.d2.loss_cls: 0.1870, decode.d2.loss_mask: 0.4488, decode.d2.loss_dice: 0.6695, decode.d3.loss_cls: 0.1665, decode.d3.loss_mask: 0.4464, decode.d3.loss_dice: 0.6601, decode.d4.loss_cls: 0.1631, decode.d4.loss_mask: 0.4455, decode.d4.loss_dice: 0.6580, decode.d5.loss_cls: 0.1637, decode.d5.loss_mask: 0.4437, decode.d5.loss_dice: 0.6607, decode.d6.loss_cls: 0.1576, decode.d6.loss_mask: 0.4422, decode.d6.loss_dice: 0.6564, decode.d7.loss_cls: 0.1548, decode.d7.loss_mask: 0.4416, decode.d7.loss_dice: 0.6531, decode.d8.loss_cls: 0.1529, decode.d8.loss_mask: 0.4405, decode.d8.loss_dice: 0.6542, loss: 13.8725, grad_norm: 74.1288 2023-11-22 22:49:35,598 - mmseg - INFO - Iter [157200/160000] lr: 1.667e-07, eta: 0:27:19, time: 0.567, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1531, decode.loss_mask: 0.4312, decode.loss_dice: 0.6459, decode.d0.loss_cls: 1.2083, decode.d0.loss_mask: 0.4669, decode.d0.loss_dice: 0.7114, decode.d1.loss_cls: 0.2305, decode.d1.loss_mask: 0.4458, decode.d1.loss_dice: 0.6748, decode.d2.loss_cls: 0.1888, decode.d2.loss_mask: 0.4392, decode.d2.loss_dice: 0.6610, decode.d3.loss_cls: 0.1687, decode.d3.loss_mask: 0.4353, decode.d3.loss_dice: 0.6508, decode.d4.loss_cls: 0.1659, decode.d4.loss_mask: 0.4335, decode.d4.loss_dice: 0.6477, decode.d5.loss_cls: 0.1669, decode.d5.loss_mask: 0.4336, decode.d5.loss_dice: 0.6480, decode.d6.loss_cls: 0.1608, decode.d6.loss_mask: 0.4330, decode.d6.loss_dice: 0.6440, decode.d7.loss_cls: 0.1557, decode.d7.loss_mask: 0.4325, decode.d7.loss_dice: 0.6440, decode.d8.loss_cls: 0.1539, decode.d8.loss_mask: 0.4311, decode.d8.loss_dice: 0.6440, loss: 13.7063, grad_norm: 62.3072 2023-11-22 22:50:04,266 - mmseg - INFO - Iter [157250/160000] lr: 1.638e-07, eta: 0:26:50, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1639, decode.loss_mask: 0.4219, decode.loss_dice: 0.6393, decode.d0.loss_cls: 1.2435, decode.d0.loss_mask: 0.4550, decode.d0.loss_dice: 0.7114, decode.d1.loss_cls: 0.2356, decode.d1.loss_mask: 0.4382, decode.d1.loss_dice: 0.6725, decode.d2.loss_cls: 0.1928, decode.d2.loss_mask: 0.4303, decode.d2.loss_dice: 0.6616, decode.d3.loss_cls: 0.1798, decode.d3.loss_mask: 0.4252, decode.d3.loss_dice: 0.6472, decode.d4.loss_cls: 0.1780, decode.d4.loss_mask: 0.4239, decode.d4.loss_dice: 0.6435, decode.d5.loss_cls: 0.1767, decode.d5.loss_mask: 0.4248, decode.d5.loss_dice: 0.6466, decode.d6.loss_cls: 0.1681, decode.d6.loss_mask: 0.4224, decode.d6.loss_dice: 0.6422, decode.d7.loss_cls: 0.1697, decode.d7.loss_mask: 0.4217, decode.d7.loss_dice: 0.6423, decode.d8.loss_cls: 0.1669, decode.d8.loss_mask: 0.4215, decode.d8.loss_dice: 0.6393, loss: 13.7058, grad_norm: 64.2489 2023-11-22 22:50:32,655 - mmseg - INFO - Iter [157300/160000] lr: 1.608e-07, eta: 0:26:20, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1623, decode.loss_mask: 0.4176, decode.loss_dice: 0.6462, decode.d0.loss_cls: 1.2521, decode.d0.loss_mask: 0.4448, decode.d0.loss_dice: 0.7154, decode.d1.loss_cls: 0.2294, decode.d1.loss_mask: 0.4307, decode.d1.loss_dice: 0.6805, decode.d2.loss_cls: 0.1957, decode.d2.loss_mask: 0.4249, decode.d2.loss_dice: 0.6647, decode.d3.loss_cls: 0.1770, decode.d3.loss_mask: 0.4218, decode.d3.loss_dice: 0.6565, decode.d4.loss_cls: 0.1711, decode.d4.loss_mask: 0.4211, decode.d4.loss_dice: 0.6525, decode.d5.loss_cls: 0.1692, decode.d5.loss_mask: 0.4201, decode.d5.loss_dice: 0.6525, decode.d6.loss_cls: 0.1661, decode.d6.loss_mask: 0.4182, decode.d6.loss_dice: 0.6484, decode.d7.loss_cls: 0.1598, decode.d7.loss_mask: 0.4183, decode.d7.loss_dice: 0.6481, decode.d8.loss_cls: 0.1594, decode.d8.loss_mask: 0.4183, decode.d8.loss_dice: 0.6503, loss: 13.6928, grad_norm: 70.7385 2023-11-22 22:51:00,912 - mmseg - INFO - Iter [157350/160000] lr: 1.578e-07, eta: 0:25:51, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1568, decode.loss_mask: 0.4252, decode.loss_dice: 0.6499, decode.d0.loss_cls: 1.2264, decode.d0.loss_mask: 0.4620, decode.d0.loss_dice: 0.7195, decode.d1.loss_cls: 0.2300, decode.d1.loss_mask: 0.4418, decode.d1.loss_dice: 0.6840, decode.d2.loss_cls: 0.1896, decode.d2.loss_mask: 0.4331, decode.d2.loss_dice: 0.6639, decode.d3.loss_cls: 0.1730, decode.d3.loss_mask: 0.4307, decode.d3.loss_dice: 0.6547, decode.d4.loss_cls: 0.1644, decode.d4.loss_mask: 0.4285, decode.d4.loss_dice: 0.6519, decode.d5.loss_cls: 0.1643, decode.d5.loss_mask: 0.4279, decode.d5.loss_dice: 0.6529, decode.d6.loss_cls: 0.1574, decode.d6.loss_mask: 0.4277, decode.d6.loss_dice: 0.6504, decode.d7.loss_cls: 0.1607, decode.d7.loss_mask: 0.4270, decode.d7.loss_dice: 0.6499, decode.d8.loss_cls: 0.1568, decode.d8.loss_mask: 0.4262, decode.d8.loss_dice: 0.6511, loss: 13.7377, grad_norm: 60.6336 2023-11-22 22:51:29,178 - mmseg - INFO - Iter [157400/160000] lr: 1.548e-07, eta: 0:25:22, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1436, decode.loss_mask: 0.4271, decode.loss_dice: 0.6468, decode.d0.loss_cls: 1.2337, decode.d0.loss_mask: 0.4596, decode.d0.loss_dice: 0.7165, decode.d1.loss_cls: 0.2181, decode.d1.loss_mask: 0.4427, decode.d1.loss_dice: 0.6770, decode.d2.loss_cls: 0.1817, decode.d2.loss_mask: 0.4327, decode.d2.loss_dice: 0.6637, decode.d3.loss_cls: 0.1616, decode.d3.loss_mask: 0.4319, decode.d3.loss_dice: 0.6540, decode.d4.loss_cls: 0.1562, decode.d4.loss_mask: 0.4324, decode.d4.loss_dice: 0.6513, decode.d5.loss_cls: 0.1530, decode.d5.loss_mask: 0.4297, decode.d5.loss_dice: 0.6541, decode.d6.loss_cls: 0.1493, decode.d6.loss_mask: 0.4278, decode.d6.loss_dice: 0.6479, decode.d7.loss_cls: 0.1482, decode.d7.loss_mask: 0.4271, decode.d7.loss_dice: 0.6517, decode.d8.loss_cls: 0.1484, decode.d8.loss_mask: 0.4265, decode.d8.loss_dice: 0.6464, loss: 13.6406, grad_norm: 64.2406 2023-11-22 22:51:57,476 - mmseg - INFO - Iter [157450/160000] lr: 1.519e-07, eta: 0:24:53, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1599, decode.loss_mask: 0.4096, decode.loss_dice: 0.6411, decode.d0.loss_cls: 1.2851, decode.d0.loss_mask: 0.4402, decode.d0.loss_dice: 0.7136, decode.d1.loss_cls: 0.2366, decode.d1.loss_mask: 0.4232, decode.d1.loss_dice: 0.6768, decode.d2.loss_cls: 0.1926, decode.d2.loss_mask: 0.4151, decode.d2.loss_dice: 0.6553, decode.d3.loss_cls: 0.1780, decode.d3.loss_mask: 0.4114, decode.d3.loss_dice: 0.6522, decode.d4.loss_cls: 0.1708, decode.d4.loss_mask: 0.4119, decode.d4.loss_dice: 0.6468, decode.d5.loss_cls: 0.1684, decode.d5.loss_mask: 0.4114, decode.d5.loss_dice: 0.6471, decode.d6.loss_cls: 0.1677, decode.d6.loss_mask: 0.4097, decode.d6.loss_dice: 0.6429, decode.d7.loss_cls: 0.1587, decode.d7.loss_mask: 0.4097, decode.d7.loss_dice: 0.6451, decode.d8.loss_cls: 0.1594, decode.d8.loss_mask: 0.4097, decode.d8.loss_dice: 0.6435, loss: 13.5934, grad_norm: 63.7954 2023-11-22 22:52:25,885 - mmseg - INFO - Iter [157500/160000] lr: 1.489e-07, eta: 0:24:23, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1798, decode.loss_mask: 0.4310, decode.loss_dice: 0.6531, decode.d0.loss_cls: 1.2690, decode.d0.loss_mask: 0.4628, decode.d0.loss_dice: 0.7287, decode.d1.loss_cls: 0.2599, decode.d1.loss_mask: 0.4463, decode.d1.loss_dice: 0.6879, decode.d2.loss_cls: 0.2105, decode.d2.loss_mask: 0.4417, decode.d2.loss_dice: 0.6742, decode.d3.loss_cls: 0.1967, decode.d3.loss_mask: 0.4362, decode.d3.loss_dice: 0.6581, decode.d4.loss_cls: 0.1938, decode.d4.loss_mask: 0.4365, decode.d4.loss_dice: 0.6584, decode.d5.loss_cls: 0.1876, decode.d5.loss_mask: 0.4346, decode.d5.loss_dice: 0.6574, decode.d6.loss_cls: 0.1838, decode.d6.loss_mask: 0.4333, decode.d6.loss_dice: 0.6579, decode.d7.loss_cls: 0.1785, decode.d7.loss_mask: 0.4333, decode.d7.loss_dice: 0.6551, decode.d8.loss_cls: 0.1794, decode.d8.loss_mask: 0.4306, decode.d8.loss_dice: 0.6531, loss: 14.1091, grad_norm: 66.7820 2023-11-22 22:52:54,296 - mmseg - INFO - Iter [157550/160000] lr: 1.459e-07, eta: 0:23:54, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1490, decode.loss_mask: 0.4349, decode.loss_dice: 0.6410, decode.d0.loss_cls: 1.2240, decode.d0.loss_mask: 0.4719, decode.d0.loss_dice: 0.7152, decode.d1.loss_cls: 0.2293, decode.d1.loss_mask: 0.4529, decode.d1.loss_dice: 0.6721, decode.d2.loss_cls: 0.1837, decode.d2.loss_mask: 0.4446, decode.d2.loss_dice: 0.6559, decode.d3.loss_cls: 0.1731, decode.d3.loss_mask: 0.4410, decode.d3.loss_dice: 0.6477, decode.d4.loss_cls: 0.1646, decode.d4.loss_mask: 0.4393, decode.d4.loss_dice: 0.6455, decode.d5.loss_cls: 0.1591, decode.d5.loss_mask: 0.4376, decode.d5.loss_dice: 0.6444, decode.d6.loss_cls: 0.1563, decode.d6.loss_mask: 0.4373, decode.d6.loss_dice: 0.6425, decode.d7.loss_cls: 0.1507, decode.d7.loss_mask: 0.4359, decode.d7.loss_dice: 0.6435, decode.d8.loss_cls: 0.1506, decode.d8.loss_mask: 0.4360, decode.d8.loss_dice: 0.6428, loss: 13.7222, grad_norm: 67.3647 2023-11-22 22:53:22,662 - mmseg - INFO - Iter [157600/160000] lr: 1.429e-07, eta: 0:23:25, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1459, decode.loss_mask: 0.4095, decode.loss_dice: 0.6245, decode.d0.loss_cls: 1.2365, decode.d0.loss_mask: 0.4435, decode.d0.loss_dice: 0.6980, decode.d1.loss_cls: 0.2132, decode.d1.loss_mask: 0.4253, decode.d1.loss_dice: 0.6562, decode.d2.loss_cls: 0.1650, decode.d2.loss_mask: 0.4192, decode.d2.loss_dice: 0.6457, decode.d3.loss_cls: 0.1543, decode.d3.loss_mask: 0.4155, decode.d3.loss_dice: 0.6344, decode.d4.loss_cls: 0.1519, decode.d4.loss_mask: 0.4133, decode.d4.loss_dice: 0.6292, decode.d5.loss_cls: 0.1453, decode.d5.loss_mask: 0.4116, decode.d5.loss_dice: 0.6304, decode.d6.loss_cls: 0.1460, decode.d6.loss_mask: 0.4105, decode.d6.loss_dice: 0.6278, decode.d7.loss_cls: 0.1446, decode.d7.loss_mask: 0.4109, decode.d7.loss_dice: 0.6267, decode.d8.loss_cls: 0.1427, decode.d8.loss_mask: 0.4110, decode.d8.loss_dice: 0.6272, loss: 13.2159, grad_norm: 59.9441 2023-11-22 22:53:51,000 - mmseg - INFO - Iter [157650/160000] lr: 1.400e-07, eta: 0:22:55, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1586, decode.loss_mask: 0.4308, decode.loss_dice: 0.6465, decode.d0.loss_cls: 1.2420, decode.d0.loss_mask: 0.4686, decode.d0.loss_dice: 0.7159, decode.d1.loss_cls: 0.2409, decode.d1.loss_mask: 0.4481, decode.d1.loss_dice: 0.6805, decode.d2.loss_cls: 0.1941, decode.d2.loss_mask: 0.4405, decode.d2.loss_dice: 0.6631, decode.d3.loss_cls: 0.1752, decode.d3.loss_mask: 0.4353, decode.d3.loss_dice: 0.6548, decode.d4.loss_cls: 0.1692, decode.d4.loss_mask: 0.4346, decode.d4.loss_dice: 0.6503, decode.d5.loss_cls: 0.1625, decode.d5.loss_mask: 0.4332, decode.d5.loss_dice: 0.6493, decode.d6.loss_cls: 0.1627, decode.d6.loss_mask: 0.4339, decode.d6.loss_dice: 0.6487, decode.d7.loss_cls: 0.1609, decode.d7.loss_mask: 0.4322, decode.d7.loss_dice: 0.6465, decode.d8.loss_cls: 0.1594, decode.d8.loss_mask: 0.4315, decode.d8.loss_dice: 0.6488, loss: 13.8186, grad_norm: 70.9491 2023-11-22 22:54:19,437 - mmseg - INFO - Iter [157700/160000] lr: 1.370e-07, eta: 0:22:26, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1644, decode.loss_mask: 0.4111, decode.loss_dice: 0.6322, decode.d0.loss_cls: 1.2363, decode.d0.loss_mask: 0.4430, decode.d0.loss_dice: 0.7073, decode.d1.loss_cls: 0.2301, decode.d1.loss_mask: 0.4268, decode.d1.loss_dice: 0.6708, decode.d2.loss_cls: 0.1915, decode.d2.loss_mask: 0.4179, decode.d2.loss_dice: 0.6499, decode.d3.loss_cls: 0.1744, decode.d3.loss_mask: 0.4141, decode.d3.loss_dice: 0.6379, decode.d4.loss_cls: 0.1704, decode.d4.loss_mask: 0.4136, decode.d4.loss_dice: 0.6391, decode.d5.loss_cls: 0.1643, decode.d5.loss_mask: 0.4145, decode.d5.loss_dice: 0.6384, decode.d6.loss_cls: 0.1665, decode.d6.loss_mask: 0.4117, decode.d6.loss_dice: 0.6359, decode.d7.loss_cls: 0.1659, decode.d7.loss_mask: 0.4101, decode.d7.loss_dice: 0.6341, decode.d8.loss_cls: 0.1619, decode.d8.loss_mask: 0.4117, decode.d8.loss_dice: 0.6369, loss: 13.4829, grad_norm: 65.1459 2023-11-22 22:54:47,749 - mmseg - INFO - Iter [157750/160000] lr: 1.340e-07, eta: 0:21:57, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1517, decode.loss_mask: 0.4246, decode.loss_dice: 0.6293, decode.d0.loss_cls: 1.2174, decode.d0.loss_mask: 0.4566, decode.d0.loss_dice: 0.6980, decode.d1.loss_cls: 0.2186, decode.d1.loss_mask: 0.4412, decode.d1.loss_dice: 0.6612, decode.d2.loss_cls: 0.1841, decode.d2.loss_mask: 0.4322, decode.d2.loss_dice: 0.6458, decode.d3.loss_cls: 0.1648, decode.d3.loss_mask: 0.4276, decode.d3.loss_dice: 0.6368, decode.d4.loss_cls: 0.1587, decode.d4.loss_mask: 0.4277, decode.d4.loss_dice: 0.6324, decode.d5.loss_cls: 0.1546, decode.d5.loss_mask: 0.4262, decode.d5.loss_dice: 0.6314, decode.d6.loss_cls: 0.1557, decode.d6.loss_mask: 0.4248, decode.d6.loss_dice: 0.6301, decode.d7.loss_cls: 0.1583, decode.d7.loss_mask: 0.4233, decode.d7.loss_dice: 0.6304, decode.d8.loss_cls: 0.1525, decode.d8.loss_mask: 0.4239, decode.d8.loss_dice: 0.6288, loss: 13.4487, grad_norm: 68.4621 2023-11-22 22:55:16,218 - mmseg - INFO - Iter [157800/160000] lr: 1.310e-07, eta: 0:21:28, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1580, decode.loss_mask: 0.4426, decode.loss_dice: 0.6605, decode.d0.loss_cls: 1.2486, decode.d0.loss_mask: 0.4730, decode.d0.loss_dice: 0.7309, decode.d1.loss_cls: 0.2352, decode.d1.loss_mask: 0.4578, decode.d1.loss_dice: 0.6950, decode.d2.loss_cls: 0.1932, decode.d2.loss_mask: 0.4488, decode.d2.loss_dice: 0.6764, decode.d3.loss_cls: 0.1854, decode.d3.loss_mask: 0.4442, decode.d3.loss_dice: 0.6636, decode.d4.loss_cls: 0.1776, decode.d4.loss_mask: 0.4434, decode.d4.loss_dice: 0.6628, decode.d5.loss_cls: 0.1746, decode.d5.loss_mask: 0.4426, decode.d5.loss_dice: 0.6612, decode.d6.loss_cls: 0.1680, decode.d6.loss_mask: 0.4428, decode.d6.loss_dice: 0.6597, decode.d7.loss_cls: 0.1648, decode.d7.loss_mask: 0.4419, decode.d7.loss_dice: 0.6612, decode.d8.loss_cls: 0.1637, decode.d8.loss_mask: 0.4429, decode.d8.loss_dice: 0.6578, loss: 14.0782, grad_norm: 68.1668 2023-11-22 22:55:44,846 - mmseg - INFO - Iter [157850/160000] lr: 1.280e-07, eta: 0:20:58, time: 0.573, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1382, decode.loss_mask: 0.4195, decode.loss_dice: 0.6451, decode.d0.loss_cls: 1.2036, decode.d0.loss_mask: 0.4545, decode.d0.loss_dice: 0.7101, decode.d1.loss_cls: 0.2033, decode.d1.loss_mask: 0.4360, decode.d1.loss_dice: 0.6794, decode.d2.loss_cls: 0.1677, decode.d2.loss_mask: 0.4277, decode.d2.loss_dice: 0.6649, decode.d3.loss_cls: 0.1525, decode.d3.loss_mask: 0.4244, decode.d3.loss_dice: 0.6536, decode.d4.loss_cls: 0.1458, decode.d4.loss_mask: 0.4228, decode.d4.loss_dice: 0.6518, decode.d5.loss_cls: 0.1406, decode.d5.loss_mask: 0.4229, decode.d5.loss_dice: 0.6509, decode.d6.loss_cls: 0.1425, decode.d6.loss_mask: 0.4214, decode.d6.loss_dice: 0.6455, decode.d7.loss_cls: 0.1386, decode.d7.loss_mask: 0.4209, decode.d7.loss_dice: 0.6447, decode.d8.loss_cls: 0.1388, decode.d8.loss_mask: 0.4198, decode.d8.loss_dice: 0.6441, loss: 13.4316, grad_norm: 63.1469 2023-11-22 22:56:15,582 - mmseg - INFO - Iter [157900/160000] lr: 1.251e-07, eta: 0:20:29, time: 0.615, data_time: 0.061, memory: 38143, decode.loss_cls: 0.1474, decode.loss_mask: 0.4073, decode.loss_dice: 0.6292, decode.d0.loss_cls: 1.2419, decode.d0.loss_mask: 0.4423, decode.d0.loss_dice: 0.6972, decode.d1.loss_cls: 0.2297, decode.d1.loss_mask: 0.4202, decode.d1.loss_dice: 0.6568, decode.d2.loss_cls: 0.1845, decode.d2.loss_mask: 0.4133, decode.d2.loss_dice: 0.6435, decode.d3.loss_cls: 0.1709, decode.d3.loss_mask: 0.4096, decode.d3.loss_dice: 0.6357, decode.d4.loss_cls: 0.1649, decode.d4.loss_mask: 0.4089, decode.d4.loss_dice: 0.6352, decode.d5.loss_cls: 0.1564, decode.d5.loss_mask: 0.4089, decode.d5.loss_dice: 0.6346, decode.d6.loss_cls: 0.1534, decode.d6.loss_mask: 0.4084, decode.d6.loss_dice: 0.6316, decode.d7.loss_cls: 0.1504, decode.d7.loss_mask: 0.4087, decode.d7.loss_dice: 0.6300, decode.d8.loss_cls: 0.1473, decode.d8.loss_mask: 0.4086, decode.d8.loss_dice: 0.6328, loss: 13.3096, grad_norm: 61.8459 2023-11-22 22:56:43,840 - mmseg - INFO - Iter [157950/160000] lr: 1.221e-07, eta: 0:20:00, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1456, decode.loss_mask: 0.4259, decode.loss_dice: 0.6440, decode.d0.loss_cls: 1.2309, decode.d0.loss_mask: 0.4602, decode.d0.loss_dice: 0.7130, decode.d1.loss_cls: 0.2333, decode.d1.loss_mask: 0.4411, decode.d1.loss_dice: 0.6750, decode.d2.loss_cls: 0.1851, decode.d2.loss_mask: 0.4339, decode.d2.loss_dice: 0.6579, decode.d3.loss_cls: 0.1700, decode.d3.loss_mask: 0.4307, decode.d3.loss_dice: 0.6468, decode.d4.loss_cls: 0.1641, decode.d4.loss_mask: 0.4291, decode.d4.loss_dice: 0.6468, decode.d5.loss_cls: 0.1563, decode.d5.loss_mask: 0.4281, decode.d5.loss_dice: 0.6436, decode.d6.loss_cls: 0.1532, decode.d6.loss_mask: 0.4255, decode.d6.loss_dice: 0.6413, decode.d7.loss_cls: 0.1482, decode.d7.loss_mask: 0.4259, decode.d7.loss_dice: 0.6444, decode.d8.loss_cls: 0.1534, decode.d8.loss_mask: 0.4252, decode.d8.loss_dice: 0.6415, loss: 13.6198, grad_norm: 62.8489 2023-11-22 22:57:12,162 - mmseg - INFO - Saving checkpoint at 158000 iterations 2023-11-22 22:57:19,964 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 22:57:19,964 - mmseg - INFO - Iter [158000/160000] lr: 1.191e-07, eta: 0:19:31, time: 0.723, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1347, decode.loss_mask: 0.4281, decode.loss_dice: 0.6507, decode.d0.loss_cls: 1.2004, decode.d0.loss_mask: 0.4606, decode.d0.loss_dice: 0.7223, decode.d1.loss_cls: 0.2032, decode.d1.loss_mask: 0.4420, decode.d1.loss_dice: 0.6859, decode.d2.loss_cls: 0.1608, decode.d2.loss_mask: 0.4362, decode.d2.loss_dice: 0.6658, decode.d3.loss_cls: 0.1483, decode.d3.loss_mask: 0.4333, decode.d3.loss_dice: 0.6600, decode.d4.loss_cls: 0.1434, decode.d4.loss_mask: 0.4294, decode.d4.loss_dice: 0.6508, decode.d5.loss_cls: 0.1405, decode.d5.loss_mask: 0.4303, decode.d5.loss_dice: 0.6554, decode.d6.loss_cls: 0.1388, decode.d6.loss_mask: 0.4299, decode.d6.loss_dice: 0.6491, decode.d7.loss_cls: 0.1342, decode.d7.loss_mask: 0.4291, decode.d7.loss_dice: 0.6536, decode.d8.loss_cls: 0.1319, decode.d8.loss_mask: 0.4296, decode.d8.loss_dice: 0.6533, loss: 13.5318, grad_norm: 65.6400 2023-11-22 22:57:39,590 - mmseg - INFO - per class results: 2023-11-22 22:57:39,595 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.38 | 88.6 | | building | 83.89 | 91.31 | | sky | 95.05 | 97.77 | | floor | 84.29 | 91.4 | | tree | 76.21 | 88.45 | | ceiling | 85.98 | 92.69 | | road | 86.29 | 92.2 | | bed | 91.82 | 95.9 | | windowpane | 65.33 | 81.68 | | grass | 69.06 | 81.17 | | cabinet | 63.84 | 75.63 | | sidewalk | 69.21 | 80.9 | | person | 86.29 | 93.97 | | earth | 39.41 | 55.82 | | door | 55.04 | 70.34 | | table | 69.98 | 83.91 | | mountain | 58.9 | 75.22 | | plant | 55.22 | 67.02 | | curtain | 74.7 | 86.92 | | chair | 66.0 | 78.14 | | car | 87.67 | 94.04 | | water | 54.39 | 66.63 | | painting | 76.7 | 90.93 | | sofa | 76.79 | 88.94 | | shelf | 42.21 | 56.17 | | house | 46.34 | 75.44 | | sea | 58.45 | 84.26 | | mirror | 75.03 | 83.94 | | rug | 68.08 | 81.1 | | field | 35.79 | 58.77 | | armchair | 55.36 | 74.59 | | seat | 65.07 | 84.38 | | fence | 56.78 | 71.73 | | desk | 58.44 | 79.65 | | rock | 51.99 | 69.14 | | wardrobe | 46.1 | 70.79 | | lamp | 73.61 | 82.84 | | bathtub | 79.81 | 86.42 | | railing | 37.7 | 54.25 | | cushion | 67.6 | 77.16 | | base | 45.57 | 69.67 | | box | 34.01 | 44.52 | | column | 52.4 | 69.83 | | signboard | 41.22 | 58.87 | | chest of drawers | 36.66 | 59.58 | | counter | 47.82 | 57.83 | | sand | 36.55 | 51.31 | | sink | 77.45 | 85.22 | | skyscraper | 61.54 | 78.37 | | fireplace | 72.87 | 90.32 | | refrigerator | 77.04 | 83.57 | | grandstand | 45.59 | 76.46 | | path | 20.27 | 33.66 | | stairs | 35.92 | 41.87 | | runway | 72.35 | 92.59 | | case | 52.66 | 75.52 | | pool table | 94.37 | 97.76 | | pillow | 66.22 | 78.84 | | screen door | 76.19 | 84.6 | | stairway | 37.54 | 52.55 | | river | 9.85 | 20.97 | | bridge | 77.94 | 89.94 | | bookcase | 31.18 | 51.58 | | blind | 44.26 | 51.25 | | coffee table | 73.58 | 86.81 | | toilet | 91.58 | 93.92 | | flower | 43.17 | 64.79 | | book | 53.34 | 77.19 | | hill | 9.39 | 16.41 | | bench | 64.56 | 74.21 | | countertop | 64.11 | 80.85 | | stove | 87.06 | 90.01 | | palm | 54.03 | 81.56 | | kitchen island | 60.96 | 89.91 | | computer | 73.04 | 81.74 | | swivel chair | 46.55 | 64.04 | | boat | 37.66 | 56.72 | | bar | 56.53 | 62.72 | | arcade machine | 75.3 | 79.84 | | hovel | 68.71 | 75.79 | | bus | 84.83 | 97.28 | | towel | 77.69 | 89.46 | | light | 66.28 | 79.36 | | truck | 23.07 | 26.78 | | tower | 24.75 | 41.82 | | chandelier | 71.99 | 88.75 | | awning | 39.85 | 52.62 | | streetlight | 47.21 | 65.35 | | booth | 49.95 | 69.45 | | television receiver | 78.86 | 88.23 | | airplane | 43.36 | 75.74 | | dirt track | 10.16 | 15.51 | | apparel | 50.96 | 67.73 | | pole | 38.06 | 59.17 | | land | 4.32 | 6.48 | | bannister | 19.59 | 29.12 | | escalator | 49.5 | 56.04 | | ottoman | 58.1 | 76.73 | | bottle | 38.32 | 64.17 | | buffet | 40.65 | 54.32 | | poster | 29.81 | 44.05 | | stage | 26.36 | 48.18 | | van | 42.36 | 63.77 | | ship | 8.95 | 13.97 | | fountain | 21.54 | 21.91 | | conveyer belt | 75.31 | 95.61 | | canopy | 27.1 | 52.83 | | washer | 69.63 | 72.97 | | plaything | 44.04 | 59.08 | | swimming pool | 66.6 | 72.02 | | stool | 52.78 | 76.95 | | barrel | 58.75 | 98.02 | | basket | 43.69 | 56.27 | | waterfall | 77.47 | 88.07 | | tent | 89.74 | 98.32 | | bag | 23.33 | 32.48 | | minibike | 71.14 | 90.61 | | cradle | 90.7 | 97.45 | | oven | 28.77 | 70.16 | | ball | 60.21 | 68.43 | | food | 55.54 | 64.95 | | step | 25.1 | 33.49 | | tank | 63.35 | 66.14 | | trade name | 30.05 | 35.9 | | microwave | 53.62 | 59.07 | | pot | 55.45 | 67.06 | | animal | 56.75 | 58.03 | | bicycle | 62.77 | 81.0 | | lake | 55.82 | 63.64 | | dishwasher | 73.8 | 78.95 | | screen | 58.01 | 91.88 | | blanket | 38.26 | 53.51 | | sculpture | 74.43 | 89.01 | | hood | 73.54 | 78.22 | | sconce | 62.19 | 76.02 | | vase | 56.53 | 74.1 | | traffic light | 49.2 | 73.05 | | tray | 20.21 | 30.69 | | ashcan | 51.87 | 74.33 | | fan | 71.83 | 85.46 | | pier | 14.33 | 15.15 | | crt screen | 2.26 | 6.98 | | plate | 64.46 | 82.73 | | monitor | 8.87 | 11.71 | | bulletin board | 65.93 | 80.61 | | shower | 13.2 | 25.38 | | radiator | 68.96 | 84.01 | | glass | 23.84 | 26.03 | | clock | 57.13 | 68.65 | | flag | 74.1 | 83.54 | +---------------------+-------+-------+ 2023-11-22 22:57:39,595 - mmseg - INFO - Summary: 2023-11-22 22:57:39,595 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.11 | 55.24 | 68.79 | +-------+-------+-------+ 2023-11-22 22:57:39,596 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 22:57:39,597 - mmseg - INFO - Iter(val) [250] aAcc: 0.8511, mIoU: 0.5524, mAcc: 0.6879, IoU.wall: 0.8138, IoU.building: 0.8389, IoU.sky: 0.9505, IoU.floor: 0.8429, IoU.tree: 0.7621, IoU.ceiling: 0.8598, IoU.road: 0.8629, IoU.bed : 0.9182, IoU.windowpane: 0.6533, IoU.grass: 0.6906, IoU.cabinet: 0.6384, IoU.sidewalk: 0.6921, IoU.person: 0.8629, IoU.earth: 0.3941, IoU.door: 0.5504, IoU.table: 0.6998, IoU.mountain: 0.5890, IoU.plant: 0.5522, IoU.curtain: 0.7470, IoU.chair: 0.6600, IoU.car: 0.8767, IoU.water: 0.5439, IoU.painting: 0.7670, IoU.sofa: 0.7679, IoU.shelf: 0.4221, IoU.house: 0.4634, IoU.sea: 0.5845, IoU.mirror: 0.7503, IoU.rug: 0.6808, IoU.field: 0.3579, IoU.armchair: 0.5536, IoU.seat: 0.6507, IoU.fence: 0.5678, IoU.desk: 0.5844, IoU.rock: 0.5199, IoU.wardrobe: 0.4610, IoU.lamp: 0.7361, IoU.bathtub: 0.7981, IoU.railing: 0.3770, IoU.cushion: 0.6760, IoU.base: 0.4557, IoU.box: 0.3401, IoU.column: 0.5240, IoU.signboard: 0.4122, IoU.chest of drawers: 0.3666, IoU.counter: 0.4782, IoU.sand: 0.3655, IoU.sink: 0.7745, IoU.skyscraper: 0.6154, IoU.fireplace: 0.7287, IoU.refrigerator: 0.7704, IoU.grandstand: 0.4559, IoU.path: 0.2027, IoU.stairs: 0.3592, IoU.runway: 0.7235, IoU.case: 0.5266, IoU.pool table: 0.9437, IoU.pillow: 0.6622, IoU.screen door: 0.7619, IoU.stairway: 0.3754, IoU.river: 0.0985, IoU.bridge: 0.7794, IoU.bookcase: 0.3118, IoU.blind: 0.4426, IoU.coffee table: 0.7358, IoU.toilet: 0.9158, IoU.flower: 0.4317, IoU.book: 0.5334, IoU.hill: 0.0939, IoU.bench: 0.6456, IoU.countertop: 0.6411, IoU.stove: 0.8706, IoU.palm: 0.5403, IoU.kitchen island: 0.6096, IoU.computer: 0.7304, IoU.swivel chair: 0.4655, IoU.boat: 0.3766, IoU.bar: 0.5653, IoU.arcade machine: 0.7530, IoU.hovel: 0.6871, IoU.bus: 0.8483, IoU.towel: 0.7769, IoU.light: 0.6628, IoU.truck: 0.2307, IoU.tower: 0.2475, IoU.chandelier: 0.7199, IoU.awning: 0.3985, IoU.streetlight: 0.4721, IoU.booth: 0.4995, IoU.television receiver: 0.7886, IoU.airplane: 0.4336, IoU.dirt track: 0.1016, IoU.apparel: 0.5096, IoU.pole: 0.3806, IoU.land: 0.0432, IoU.bannister: 0.1959, IoU.escalator: 0.4950, IoU.ottoman: 0.5810, IoU.bottle: 0.3832, IoU.buffet: 0.4065, IoU.poster: 0.2981, IoU.stage: 0.2636, IoU.van: 0.4236, IoU.ship: 0.0895, IoU.fountain: 0.2154, IoU.conveyer belt: 0.7531, IoU.canopy: 0.2710, IoU.washer: 0.6963, IoU.plaything: 0.4404, IoU.swimming pool: 0.6660, IoU.stool: 0.5278, IoU.barrel: 0.5875, IoU.basket: 0.4369, IoU.waterfall: 0.7747, IoU.tent: 0.8974, IoU.bag: 0.2333, IoU.minibike: 0.7114, IoU.cradle: 0.9070, IoU.oven: 0.2877, IoU.ball: 0.6021, IoU.food: 0.5554, IoU.step: 0.2510, IoU.tank: 0.6335, IoU.trade name: 0.3005, IoU.microwave: 0.5362, IoU.pot: 0.5545, IoU.animal: 0.5675, IoU.bicycle: 0.6277, IoU.lake: 0.5582, IoU.dishwasher: 0.7380, IoU.screen: 0.5801, IoU.blanket: 0.3826, IoU.sculpture: 0.7443, IoU.hood: 0.7354, IoU.sconce: 0.6219, IoU.vase: 0.5653, IoU.traffic light: 0.4920, IoU.tray: 0.2021, IoU.ashcan: 0.5187, IoU.fan: 0.7183, IoU.pier: 0.1433, IoU.crt screen: 0.0226, IoU.plate: 0.6446, IoU.monitor: 0.0887, IoU.bulletin board: 0.6593, IoU.shower: 0.1320, IoU.radiator: 0.6896, IoU.glass: 0.2384, IoU.clock: 0.5713, IoU.flag: 0.7410, Acc.wall: 0.8860, Acc.building: 0.9131, Acc.sky: 0.9777, Acc.floor: 0.9140, Acc.tree: 0.8845, Acc.ceiling: 0.9269, Acc.road: 0.9220, Acc.bed : 0.9590, Acc.windowpane: 0.8168, Acc.grass: 0.8117, Acc.cabinet: 0.7563, Acc.sidewalk: 0.8090, Acc.person: 0.9397, Acc.earth: 0.5582, Acc.door: 0.7034, Acc.table: 0.8391, Acc.mountain: 0.7522, Acc.plant: 0.6702, Acc.curtain: 0.8692, Acc.chair: 0.7814, Acc.car: 0.9404, Acc.water: 0.6663, Acc.painting: 0.9093, Acc.sofa: 0.8894, Acc.shelf: 0.5617, Acc.house: 0.7544, Acc.sea: 0.8426, Acc.mirror: 0.8394, Acc.rug: 0.8110, Acc.field: 0.5877, Acc.armchair: 0.7459, Acc.seat: 0.8438, Acc.fence: 0.7173, Acc.desk: 0.7965, Acc.rock: 0.6914, Acc.wardrobe: 0.7079, Acc.lamp: 0.8284, Acc.bathtub: 0.8642, Acc.railing: 0.5425, Acc.cushion: 0.7716, Acc.base: 0.6967, Acc.box: 0.4452, Acc.column: 0.6983, Acc.signboard: 0.5887, Acc.chest of drawers: 0.5958, Acc.counter: 0.5783, Acc.sand: 0.5131, Acc.sink: 0.8522, Acc.skyscraper: 0.7837, Acc.fireplace: 0.9032, Acc.refrigerator: 0.8357, Acc.grandstand: 0.7646, Acc.path: 0.3366, Acc.stairs: 0.4187, Acc.runway: 0.9259, Acc.case: 0.7552, Acc.pool table: 0.9776, Acc.pillow: 0.7884, Acc.screen door: 0.8460, Acc.stairway: 0.5255, Acc.river: 0.2097, Acc.bridge: 0.8994, Acc.bookcase: 0.5158, Acc.blind: 0.5125, Acc.coffee table: 0.8681, Acc.toilet: 0.9392, Acc.flower: 0.6479, Acc.book: 0.7719, Acc.hill: 0.1641, Acc.bench: 0.7421, Acc.countertop: 0.8085, Acc.stove: 0.9001, Acc.palm: 0.8156, Acc.kitchen island: 0.8991, Acc.computer: 0.8174, Acc.swivel chair: 0.6404, Acc.boat: 0.5672, Acc.bar: 0.6272, Acc.arcade machine: 0.7984, Acc.hovel: 0.7579, Acc.bus: 0.9728, Acc.towel: 0.8946, Acc.light: 0.7936, Acc.truck: 0.2678, Acc.tower: 0.4182, Acc.chandelier: 0.8875, Acc.awning: 0.5262, Acc.streetlight: 0.6535, Acc.booth: 0.6945, Acc.television receiver: 0.8823, Acc.airplane: 0.7574, Acc.dirt track: 0.1551, Acc.apparel: 0.6773, Acc.pole: 0.5917, Acc.land: 0.0648, Acc.bannister: 0.2912, Acc.escalator: 0.5604, Acc.ottoman: 0.7673, Acc.bottle: 0.6417, Acc.buffet: 0.5432, Acc.poster: 0.4405, Acc.stage: 0.4818, Acc.van: 0.6377, Acc.ship: 0.1397, Acc.fountain: 0.2191, Acc.conveyer belt: 0.9561, Acc.canopy: 0.5283, Acc.washer: 0.7297, Acc.plaything: 0.5908, Acc.swimming pool: 0.7202, Acc.stool: 0.7695, Acc.barrel: 0.9802, Acc.basket: 0.5627, Acc.waterfall: 0.8807, Acc.tent: 0.9832, Acc.bag: 0.3248, Acc.minibike: 0.9061, Acc.cradle: 0.9745, Acc.oven: 0.7016, Acc.ball: 0.6843, Acc.food: 0.6495, Acc.step: 0.3349, Acc.tank: 0.6614, Acc.trade name: 0.3590, Acc.microwave: 0.5907, Acc.pot: 0.6706, Acc.animal: 0.5803, Acc.bicycle: 0.8100, Acc.lake: 0.6364, Acc.dishwasher: 0.7895, Acc.screen: 0.9188, Acc.blanket: 0.5351, Acc.sculpture: 0.8901, Acc.hood: 0.7822, Acc.sconce: 0.7602, Acc.vase: 0.7410, Acc.traffic light: 0.7305, Acc.tray: 0.3069, Acc.ashcan: 0.7433, Acc.fan: 0.8546, Acc.pier: 0.1515, Acc.crt screen: 0.0698, Acc.plate: 0.8273, Acc.monitor: 0.1171, Acc.bulletin board: 0.8061, Acc.shower: 0.2538, Acc.radiator: 0.8401, Acc.glass: 0.2603, Acc.clock: 0.6865, Acc.flag: 0.8354 2023-11-22 22:58:07,796 - mmseg - INFO - Iter [158050/160000] lr: 1.161e-07, eta: 0:19:01, time: 0.957, data_time: 0.405, memory: 38143, decode.loss_cls: 0.1479, decode.loss_mask: 0.4460, decode.loss_dice: 0.6695, decode.d0.loss_cls: 1.2316, decode.d0.loss_mask: 0.4783, decode.d0.loss_dice: 0.7362, decode.d1.loss_cls: 0.2203, decode.d1.loss_mask: 0.4604, decode.d1.loss_dice: 0.7036, decode.d2.loss_cls: 0.1826, decode.d2.loss_mask: 0.4524, decode.d2.loss_dice: 0.6872, decode.d3.loss_cls: 0.1709, decode.d3.loss_mask: 0.4483, decode.d3.loss_dice: 0.6769, decode.d4.loss_cls: 0.1635, decode.d4.loss_mask: 0.4471, decode.d4.loss_dice: 0.6747, decode.d5.loss_cls: 0.1562, decode.d5.loss_mask: 0.4471, decode.d5.loss_dice: 0.6735, decode.d6.loss_cls: 0.1520, decode.d6.loss_mask: 0.4463, decode.d6.loss_dice: 0.6715, decode.d7.loss_cls: 0.1517, decode.d7.loss_mask: 0.4466, decode.d7.loss_dice: 0.6687, decode.d8.loss_cls: 0.1541, decode.d8.loss_mask: 0.4445, decode.d8.loss_dice: 0.6668, loss: 14.0766, grad_norm: 65.1315 2023-11-22 22:58:36,265 - mmseg - INFO - Iter [158100/160000] lr: 1.132e-07, eta: 0:18:32, time: 0.569, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1520, decode.loss_mask: 0.4062, decode.loss_dice: 0.6427, decode.d0.loss_cls: 1.2668, decode.d0.loss_mask: 0.4396, decode.d0.loss_dice: 0.7038, decode.d1.loss_cls: 0.2361, decode.d1.loss_mask: 0.4202, decode.d1.loss_dice: 0.6683, decode.d2.loss_cls: 0.1964, decode.d2.loss_mask: 0.4136, decode.d2.loss_dice: 0.6521, decode.d3.loss_cls: 0.1753, decode.d3.loss_mask: 0.4094, decode.d3.loss_dice: 0.6428, decode.d4.loss_cls: 0.1718, decode.d4.loss_mask: 0.4088, decode.d4.loss_dice: 0.6437, decode.d5.loss_cls: 0.1595, decode.d5.loss_mask: 0.4072, decode.d5.loss_dice: 0.6415, decode.d6.loss_cls: 0.1584, decode.d6.loss_mask: 0.4061, decode.d6.loss_dice: 0.6399, decode.d7.loss_cls: 0.1554, decode.d7.loss_mask: 0.4059, decode.d7.loss_dice: 0.6409, decode.d8.loss_cls: 0.1570, decode.d8.loss_mask: 0.4064, decode.d8.loss_dice: 0.6423, loss: 13.4699, grad_norm: 61.6469 2023-11-22 22:59:04,757 - mmseg - INFO - Iter [158150/160000] lr: 1.102e-07, eta: 0:18:03, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1534, decode.loss_mask: 0.4294, decode.loss_dice: 0.6464, decode.d0.loss_cls: 1.2492, decode.d0.loss_mask: 0.4654, decode.d0.loss_dice: 0.7102, decode.d1.loss_cls: 0.2252, decode.d1.loss_mask: 0.4431, decode.d1.loss_dice: 0.6758, decode.d2.loss_cls: 0.1864, decode.d2.loss_mask: 0.4357, decode.d2.loss_dice: 0.6628, decode.d3.loss_cls: 0.1689, decode.d3.loss_mask: 0.4328, decode.d3.loss_dice: 0.6525, decode.d4.loss_cls: 0.1610, decode.d4.loss_mask: 0.4308, decode.d4.loss_dice: 0.6499, decode.d5.loss_cls: 0.1613, decode.d5.loss_mask: 0.4313, decode.d5.loss_dice: 0.6513, decode.d6.loss_cls: 0.1543, decode.d6.loss_mask: 0.4308, decode.d6.loss_dice: 0.6478, decode.d7.loss_cls: 0.1563, decode.d7.loss_mask: 0.4294, decode.d7.loss_dice: 0.6464, decode.d8.loss_cls: 0.1534, decode.d8.loss_mask: 0.4284, decode.d8.loss_dice: 0.6468, loss: 13.7165, grad_norm: 66.0162 2023-11-22 22:59:32,937 - mmseg - INFO - Iter [158200/160000] lr: 1.072e-07, eta: 0:17:34, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1532, decode.loss_mask: 0.4201, decode.loss_dice: 0.6621, decode.d0.loss_cls: 1.2735, decode.d0.loss_mask: 0.4501, decode.d0.loss_dice: 0.7302, decode.d1.loss_cls: 0.2326, decode.d1.loss_mask: 0.4331, decode.d1.loss_dice: 0.6886, decode.d2.loss_cls: 0.1903, decode.d2.loss_mask: 0.4243, decode.d2.loss_dice: 0.6740, decode.d3.loss_cls: 0.1732, decode.d3.loss_mask: 0.4225, decode.d3.loss_dice: 0.6602, decode.d4.loss_cls: 0.1669, decode.d4.loss_mask: 0.4212, decode.d4.loss_dice: 0.6639, decode.d5.loss_cls: 0.1603, decode.d5.loss_mask: 0.4203, decode.d5.loss_dice: 0.6645, decode.d6.loss_cls: 0.1555, decode.d6.loss_mask: 0.4224, decode.d6.loss_dice: 0.6614, decode.d7.loss_cls: 0.1533, decode.d7.loss_mask: 0.4214, decode.d7.loss_dice: 0.6629, decode.d8.loss_cls: 0.1535, decode.d8.loss_mask: 0.4198, decode.d8.loss_dice: 0.6592, loss: 13.7947, grad_norm: 57.9174 2023-11-22 23:00:01,399 - mmseg - INFO - Iter [158250/160000] lr: 1.042e-07, eta: 0:17:04, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1568, decode.loss_mask: 0.3999, decode.loss_dice: 0.6364, decode.d0.loss_cls: 1.2762, decode.d0.loss_mask: 0.4326, decode.d0.loss_dice: 0.7076, decode.d1.loss_cls: 0.2393, decode.d1.loss_mask: 0.4146, decode.d1.loss_dice: 0.6634, decode.d2.loss_cls: 0.1959, decode.d2.loss_mask: 0.4080, decode.d2.loss_dice: 0.6494, decode.d3.loss_cls: 0.1777, decode.d3.loss_mask: 0.4038, decode.d3.loss_dice: 0.6401, decode.d4.loss_cls: 0.1708, decode.d4.loss_mask: 0.4022, decode.d4.loss_dice: 0.6361, decode.d5.loss_cls: 0.1669, decode.d5.loss_mask: 0.4021, decode.d5.loss_dice: 0.6365, decode.d6.loss_cls: 0.1595, decode.d6.loss_mask: 0.4016, decode.d6.loss_dice: 0.6355, decode.d7.loss_cls: 0.1615, decode.d7.loss_mask: 0.4007, decode.d7.loss_dice: 0.6335, decode.d8.loss_cls: 0.1613, decode.d8.loss_mask: 0.4004, decode.d8.loss_dice: 0.6354, loss: 13.4059, grad_norm: 62.2715 2023-11-22 23:00:29,635 - mmseg - INFO - Iter [158300/160000] lr: 1.013e-07, eta: 0:16:35, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1577, decode.loss_mask: 0.4173, decode.loss_dice: 0.6682, decode.d0.loss_cls: 1.2383, decode.d0.loss_mask: 0.4502, decode.d0.loss_dice: 0.7375, decode.d1.loss_cls: 0.2296, decode.d1.loss_mask: 0.4316, decode.d1.loss_dice: 0.7040, decode.d2.loss_cls: 0.1895, decode.d2.loss_mask: 0.4236, decode.d2.loss_dice: 0.6863, decode.d3.loss_cls: 0.1782, decode.d3.loss_mask: 0.4220, decode.d3.loss_dice: 0.6750, decode.d4.loss_cls: 0.1721, decode.d4.loss_mask: 0.4217, decode.d4.loss_dice: 0.6715, decode.d5.loss_cls: 0.1647, decode.d5.loss_mask: 0.4209, decode.d5.loss_dice: 0.6736, decode.d6.loss_cls: 0.1624, decode.d6.loss_mask: 0.4199, decode.d6.loss_dice: 0.6687, decode.d7.loss_cls: 0.1601, decode.d7.loss_mask: 0.4180, decode.d7.loss_dice: 0.6707, decode.d8.loss_cls: 0.1581, decode.d8.loss_mask: 0.4179, decode.d8.loss_dice: 0.6727, loss: 13.8820, grad_norm: 71.2936 2023-11-22 23:00:57,845 - mmseg - INFO - Iter [158350/160000] lr: 9.828e-08, eta: 0:16:06, time: 0.564, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1459, decode.loss_mask: 0.4234, decode.loss_dice: 0.6255, decode.d0.loss_cls: 1.2198, decode.d0.loss_mask: 0.4567, decode.d0.loss_dice: 0.6965, decode.d1.loss_cls: 0.2095, decode.d1.loss_mask: 0.4398, decode.d1.loss_dice: 0.6649, decode.d2.loss_cls: 0.1724, decode.d2.loss_mask: 0.4332, decode.d2.loss_dice: 0.6481, decode.d3.loss_cls: 0.1607, decode.d3.loss_mask: 0.4282, decode.d3.loss_dice: 0.6323, decode.d4.loss_cls: 0.1567, decode.d4.loss_mask: 0.4276, decode.d4.loss_dice: 0.6342, decode.d5.loss_cls: 0.1504, decode.d5.loss_mask: 0.4245, decode.d5.loss_dice: 0.6329, decode.d6.loss_cls: 0.1478, decode.d6.loss_mask: 0.4272, decode.d6.loss_dice: 0.6315, decode.d7.loss_cls: 0.1452, decode.d7.loss_mask: 0.4253, decode.d7.loss_dice: 0.6322, decode.d8.loss_cls: 0.1493, decode.d8.loss_mask: 0.4243, decode.d8.loss_dice: 0.6264, loss: 13.3922, grad_norm: 66.4970 2023-11-22 23:01:26,319 - mmseg - INFO - Iter [158400/160000] lr: 9.531e-08, eta: 0:15:36, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1492, decode.loss_mask: 0.4296, decode.loss_dice: 0.6380, decode.d0.loss_cls: 1.2545, decode.d0.loss_mask: 0.4610, decode.d0.loss_dice: 0.7108, decode.d1.loss_cls: 0.2329, decode.d1.loss_mask: 0.4429, decode.d1.loss_dice: 0.6697, decode.d2.loss_cls: 0.1884, decode.d2.loss_mask: 0.4380, decode.d2.loss_dice: 0.6486, decode.d3.loss_cls: 0.1680, decode.d3.loss_mask: 0.4327, decode.d3.loss_dice: 0.6478, decode.d4.loss_cls: 0.1639, decode.d4.loss_mask: 0.4322, decode.d4.loss_dice: 0.6407, decode.d5.loss_cls: 0.1578, decode.d5.loss_mask: 0.4291, decode.d5.loss_dice: 0.6383, decode.d6.loss_cls: 0.1534, decode.d6.loss_mask: 0.4305, decode.d6.loss_dice: 0.6393, decode.d7.loss_cls: 0.1527, decode.d7.loss_mask: 0.4286, decode.d7.loss_dice: 0.6388, decode.d8.loss_cls: 0.1493, decode.d8.loss_mask: 0.4284, decode.d8.loss_dice: 0.6383, loss: 13.6334, grad_norm: 64.8780 2023-11-22 23:01:54,808 - mmseg - INFO - Iter [158450/160000] lr: 9.233e-08, eta: 0:15:07, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1486, decode.loss_mask: 0.4278, decode.loss_dice: 0.6412, decode.d0.loss_cls: 1.2360, decode.d0.loss_mask: 0.4590, decode.d0.loss_dice: 0.7092, decode.d1.loss_cls: 0.2284, decode.d1.loss_mask: 0.4417, decode.d1.loss_dice: 0.6709, decode.d2.loss_cls: 0.1858, decode.d2.loss_mask: 0.4365, decode.d2.loss_dice: 0.6584, decode.d3.loss_cls: 0.1659, decode.d3.loss_mask: 0.4312, decode.d3.loss_dice: 0.6446, decode.d4.loss_cls: 0.1647, decode.d4.loss_mask: 0.4294, decode.d4.loss_dice: 0.6442, decode.d5.loss_cls: 0.1581, decode.d5.loss_mask: 0.4296, decode.d5.loss_dice: 0.6458, decode.d6.loss_cls: 0.1540, decode.d6.loss_mask: 0.4287, decode.d6.loss_dice: 0.6421, decode.d7.loss_cls: 0.1494, decode.d7.loss_mask: 0.4275, decode.d7.loss_dice: 0.6396, decode.d8.loss_cls: 0.1511, decode.d8.loss_mask: 0.4275, decode.d8.loss_dice: 0.6422, loss: 13.6191, grad_norm: 70.5336 2023-11-22 23:02:23,049 - mmseg - INFO - Iter [158500/160000] lr: 8.936e-08, eta: 0:14:38, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1322, decode.loss_mask: 0.4260, decode.loss_dice: 0.6305, decode.d0.loss_cls: 1.2118, decode.d0.loss_mask: 0.4582, decode.d0.loss_dice: 0.6891, decode.d1.loss_cls: 0.2089, decode.d1.loss_mask: 0.4427, decode.d1.loss_dice: 0.6637, decode.d2.loss_cls: 0.1653, decode.d2.loss_mask: 0.4332, decode.d2.loss_dice: 0.6464, decode.d3.loss_cls: 0.1489, decode.d3.loss_mask: 0.4322, decode.d3.loss_dice: 0.6413, decode.d4.loss_cls: 0.1473, decode.d4.loss_mask: 0.4287, decode.d4.loss_dice: 0.6373, decode.d5.loss_cls: 0.1446, decode.d5.loss_mask: 0.4283, decode.d5.loss_dice: 0.6326, decode.d6.loss_cls: 0.1426, decode.d6.loss_mask: 0.4274, decode.d6.loss_dice: 0.6319, decode.d7.loss_cls: 0.1399, decode.d7.loss_mask: 0.4257, decode.d7.loss_dice: 0.6328, decode.d8.loss_cls: 0.1360, decode.d8.loss_mask: 0.4259, decode.d8.loss_dice: 0.6315, loss: 13.3430, grad_norm: 61.1464 2023-11-22 23:02:51,209 - mmseg - INFO - Iter [158550/160000] lr: 8.638e-08, eta: 0:14:09, time: 0.563, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1497, decode.loss_mask: 0.4346, decode.loss_dice: 0.6558, decode.d0.loss_cls: 1.1900, decode.d0.loss_mask: 0.4689, decode.d0.loss_dice: 0.7254, decode.d1.loss_cls: 0.2213, decode.d1.loss_mask: 0.4487, decode.d1.loss_dice: 0.6901, decode.d2.loss_cls: 0.1835, decode.d2.loss_mask: 0.4434, decode.d2.loss_dice: 0.6742, decode.d3.loss_cls: 0.1660, decode.d3.loss_mask: 0.4396, decode.d3.loss_dice: 0.6653, decode.d4.loss_cls: 0.1623, decode.d4.loss_mask: 0.4375, decode.d4.loss_dice: 0.6649, decode.d5.loss_cls: 0.1589, decode.d5.loss_mask: 0.4369, decode.d5.loss_dice: 0.6647, decode.d6.loss_cls: 0.1566, decode.d6.loss_mask: 0.4354, decode.d6.loss_dice: 0.6568, decode.d7.loss_cls: 0.1548, decode.d7.loss_mask: 0.4350, decode.d7.loss_dice: 0.6606, decode.d8.loss_cls: 0.1468, decode.d8.loss_mask: 0.4351, decode.d8.loss_dice: 0.6606, loss: 13.8236, grad_norm: 71.7590 2023-11-22 23:03:19,577 - mmseg - INFO - Iter [158600/160000] lr: 8.340e-08, eta: 0:13:39, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1556, decode.loss_mask: 0.4280, decode.loss_dice: 0.6337, decode.d0.loss_cls: 1.2236, decode.d0.loss_mask: 0.4606, decode.d0.loss_dice: 0.7039, decode.d1.loss_cls: 0.2317, decode.d1.loss_mask: 0.4455, decode.d1.loss_dice: 0.6648, decode.d2.loss_cls: 0.1878, decode.d2.loss_mask: 0.4355, decode.d2.loss_dice: 0.6507, decode.d3.loss_cls: 0.1725, decode.d3.loss_mask: 0.4342, decode.d3.loss_dice: 0.6426, decode.d4.loss_cls: 0.1665, decode.d4.loss_mask: 0.4319, decode.d4.loss_dice: 0.6409, decode.d5.loss_cls: 0.1591, decode.d5.loss_mask: 0.4313, decode.d5.loss_dice: 0.6392, decode.d6.loss_cls: 0.1548, decode.d6.loss_mask: 0.4306, decode.d6.loss_dice: 0.6373, decode.d7.loss_cls: 0.1556, decode.d7.loss_mask: 0.4299, decode.d7.loss_dice: 0.6328, decode.d8.loss_cls: 0.1513, decode.d8.loss_mask: 0.4292, decode.d8.loss_dice: 0.6343, loss: 13.5954, grad_norm: 64.7039 2023-11-22 23:03:47,968 - mmseg - INFO - Iter [158650/160000] lr: 8.043e-08, eta: 0:13:10, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1549, decode.loss_mask: 0.4240, decode.loss_dice: 0.6430, decode.d0.loss_cls: 1.2371, decode.d0.loss_mask: 0.4565, decode.d0.loss_dice: 0.7085, decode.d1.loss_cls: 0.2326, decode.d1.loss_mask: 0.4380, decode.d1.loss_dice: 0.6694, decode.d2.loss_cls: 0.1865, decode.d2.loss_mask: 0.4310, decode.d2.loss_dice: 0.6559, decode.d3.loss_cls: 0.1676, decode.d3.loss_mask: 0.4289, decode.d3.loss_dice: 0.6523, decode.d4.loss_cls: 0.1654, decode.d4.loss_mask: 0.4273, decode.d4.loss_dice: 0.6440, decode.d5.loss_cls: 0.1612, decode.d5.loss_mask: 0.4259, decode.d5.loss_dice: 0.6465, decode.d6.loss_cls: 0.1589, decode.d6.loss_mask: 0.4259, decode.d6.loss_dice: 0.6451, decode.d7.loss_cls: 0.1555, decode.d7.loss_mask: 0.4249, decode.d7.loss_dice: 0.6422, decode.d8.loss_cls: 0.1561, decode.d8.loss_mask: 0.4240, decode.d8.loss_dice: 0.6427, loss: 13.6317, grad_norm: 64.1180 2023-11-22 23:04:16,638 - mmseg - INFO - Iter [158700/160000] lr: 7.745e-08, eta: 0:12:41, time: 0.573, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1593, decode.loss_mask: 0.4286, decode.loss_dice: 0.6546, decode.d0.loss_cls: 1.2416, decode.d0.loss_mask: 0.4653, decode.d0.loss_dice: 0.7212, decode.d1.loss_cls: 0.2314, decode.d1.loss_mask: 0.4442, decode.d1.loss_dice: 0.6901, decode.d2.loss_cls: 0.1924, decode.d2.loss_mask: 0.4347, decode.d2.loss_dice: 0.6684, decode.d3.loss_cls: 0.1829, decode.d3.loss_mask: 0.4325, decode.d3.loss_dice: 0.6581, decode.d4.loss_cls: 0.1681, decode.d4.loss_mask: 0.4320, decode.d4.loss_dice: 0.6589, decode.d5.loss_cls: 0.1679, decode.d5.loss_mask: 0.4306, decode.d5.loss_dice: 0.6587, decode.d6.loss_cls: 0.1672, decode.d6.loss_mask: 0.4292, decode.d6.loss_dice: 0.6496, decode.d7.loss_cls: 0.1613, decode.d7.loss_mask: 0.4288, decode.d7.loss_dice: 0.6547, decode.d8.loss_cls: 0.1594, decode.d8.loss_mask: 0.4283, decode.d8.loss_dice: 0.6506, loss: 13.8504, grad_norm: 64.1801 2023-11-22 23:04:45,012 - mmseg - INFO - Iter [158750/160000] lr: 7.447e-08, eta: 0:12:11, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1458, decode.loss_mask: 0.4238, decode.loss_dice: 0.6550, decode.d0.loss_cls: 1.2365, decode.d0.loss_mask: 0.4558, decode.d0.loss_dice: 0.7188, decode.d1.loss_cls: 0.2219, decode.d1.loss_mask: 0.4374, decode.d1.loss_dice: 0.6842, decode.d2.loss_cls: 0.1793, decode.d2.loss_mask: 0.4312, decode.d2.loss_dice: 0.6676, decode.d3.loss_cls: 0.1681, decode.d3.loss_mask: 0.4271, decode.d3.loss_dice: 0.6576, decode.d4.loss_cls: 0.1584, decode.d4.loss_mask: 0.4273, decode.d4.loss_dice: 0.6603, decode.d5.loss_cls: 0.1550, decode.d5.loss_mask: 0.4254, decode.d5.loss_dice: 0.6561, decode.d6.loss_cls: 0.1537, decode.d6.loss_mask: 0.4244, decode.d6.loss_dice: 0.6542, decode.d7.loss_cls: 0.1472, decode.d7.loss_mask: 0.4248, decode.d7.loss_dice: 0.6532, decode.d8.loss_cls: 0.1440, decode.d8.loss_mask: 0.4239, decode.d8.loss_dice: 0.6570, loss: 13.6749, grad_norm: 66.5881 2023-11-22 23:05:13,329 - mmseg - INFO - Iter [158800/160000] lr: 7.150e-08, eta: 0:11:42, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1498, decode.loss_mask: 0.4249, decode.loss_dice: 0.6407, decode.d0.loss_cls: 1.2383, decode.d0.loss_mask: 0.4588, decode.d0.loss_dice: 0.7082, decode.d1.loss_cls: 0.2356, decode.d1.loss_mask: 0.4389, decode.d1.loss_dice: 0.6724, decode.d2.loss_cls: 0.1844, decode.d2.loss_mask: 0.4338, decode.d2.loss_dice: 0.6611, decode.d3.loss_cls: 0.1677, decode.d3.loss_mask: 0.4297, decode.d3.loss_dice: 0.6498, decode.d4.loss_cls: 0.1595, decode.d4.loss_mask: 0.4275, decode.d4.loss_dice: 0.6503, decode.d5.loss_cls: 0.1600, decode.d5.loss_mask: 0.4279, decode.d5.loss_dice: 0.6493, decode.d6.loss_cls: 0.1549, decode.d6.loss_mask: 0.4266, decode.d6.loss_dice: 0.6444, decode.d7.loss_cls: 0.1487, decode.d7.loss_mask: 0.4253, decode.d7.loss_dice: 0.6444, decode.d8.loss_cls: 0.1468, decode.d8.loss_mask: 0.4246, decode.d8.loss_dice: 0.6439, loss: 13.6279, grad_norm: 60.5242 2023-11-22 23:05:41,564 - mmseg - INFO - Iter [158850/160000] lr: 6.852e-08, eta: 0:11:13, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1495, decode.loss_mask: 0.4240, decode.loss_dice: 0.6369, decode.d0.loss_cls: 1.2255, decode.d0.loss_mask: 0.4576, decode.d0.loss_dice: 0.7149, decode.d1.loss_cls: 0.2305, decode.d1.loss_mask: 0.4415, decode.d1.loss_dice: 0.6736, decode.d2.loss_cls: 0.1833, decode.d2.loss_mask: 0.4335, decode.d2.loss_dice: 0.6590, decode.d3.loss_cls: 0.1608, decode.d3.loss_mask: 0.4274, decode.d3.loss_dice: 0.6424, decode.d4.loss_cls: 0.1648, decode.d4.loss_mask: 0.4261, decode.d4.loss_dice: 0.6434, decode.d5.loss_cls: 0.1606, decode.d5.loss_mask: 0.4260, decode.d5.loss_dice: 0.6373, decode.d6.loss_cls: 0.1551, decode.d6.loss_mask: 0.4266, decode.d6.loss_dice: 0.6383, decode.d7.loss_cls: 0.1517, decode.d7.loss_mask: 0.4231, decode.d7.loss_dice: 0.6375, decode.d8.loss_cls: 0.1524, decode.d8.loss_mask: 0.4234, decode.d8.loss_dice: 0.6368, loss: 13.5635, grad_norm: 61.3448 2023-11-22 23:06:09,875 - mmseg - INFO - Iter [158900/160000] lr: 6.554e-08, eta: 0:10:44, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1549, decode.loss_mask: 0.4254, decode.loss_dice: 0.6407, decode.d0.loss_cls: 1.2319, decode.d0.loss_mask: 0.4587, decode.d0.loss_dice: 0.7018, decode.d1.loss_cls: 0.2345, decode.d1.loss_mask: 0.4405, decode.d1.loss_dice: 0.6718, decode.d2.loss_cls: 0.2028, decode.d2.loss_mask: 0.4320, decode.d2.loss_dice: 0.6528, decode.d3.loss_cls: 0.1851, decode.d3.loss_mask: 0.4278, decode.d3.loss_dice: 0.6453, decode.d4.loss_cls: 0.1685, decode.d4.loss_mask: 0.4276, decode.d4.loss_dice: 0.6488, decode.d5.loss_cls: 0.1622, decode.d5.loss_mask: 0.4271, decode.d5.loss_dice: 0.6450, decode.d6.loss_cls: 0.1689, decode.d6.loss_mask: 0.4250, decode.d6.loss_dice: 0.6396, decode.d7.loss_cls: 0.1589, decode.d7.loss_mask: 0.4253, decode.d7.loss_dice: 0.6426, decode.d8.loss_cls: 0.1617, decode.d8.loss_mask: 0.4243, decode.d8.loss_dice: 0.6372, loss: 13.6689, grad_norm: 64.7973 2023-11-22 23:06:38,212 - mmseg - INFO - Iter [158950/160000] lr: 6.257e-08, eta: 0:10:14, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1539, decode.loss_mask: 0.4047, decode.loss_dice: 0.6549, decode.d0.loss_cls: 1.2467, decode.d0.loss_mask: 0.4346, decode.d0.loss_dice: 0.7230, decode.d1.loss_cls: 0.2340, decode.d1.loss_mask: 0.4214, decode.d1.loss_dice: 0.6835, decode.d2.loss_cls: 0.1813, decode.d2.loss_mask: 0.4153, decode.d2.loss_dice: 0.6728, decode.d3.loss_cls: 0.1679, decode.d3.loss_mask: 0.4093, decode.d3.loss_dice: 0.6640, decode.d4.loss_cls: 0.1589, decode.d4.loss_mask: 0.4081, decode.d4.loss_dice: 0.6591, decode.d5.loss_cls: 0.1582, decode.d5.loss_mask: 0.4058, decode.d5.loss_dice: 0.6578, decode.d6.loss_cls: 0.1540, decode.d6.loss_mask: 0.4060, decode.d6.loss_dice: 0.6547, decode.d7.loss_cls: 0.1558, decode.d7.loss_mask: 0.4061, decode.d7.loss_dice: 0.6547, decode.d8.loss_cls: 0.1544, decode.d8.loss_mask: 0.4052, decode.d8.loss_dice: 0.6525, loss: 13.5589, grad_norm: 60.7509 2023-11-22 23:07:06,735 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 23:07:06,735 - mmseg - INFO - Iter [159000/160000] lr: 5.959e-08, eta: 0:09:45, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1609, decode.loss_mask: 0.4416, decode.loss_dice: 0.6700, decode.d0.loss_cls: 1.2321, decode.d0.loss_mask: 0.4761, decode.d0.loss_dice: 0.7347, decode.d1.loss_cls: 0.2300, decode.d1.loss_mask: 0.4576, decode.d1.loss_dice: 0.6992, decode.d2.loss_cls: 0.2004, decode.d2.loss_mask: 0.4486, decode.d2.loss_dice: 0.6846, decode.d3.loss_cls: 0.1789, decode.d3.loss_mask: 0.4465, decode.d3.loss_dice: 0.6751, decode.d4.loss_cls: 0.1742, decode.d4.loss_mask: 0.4442, decode.d4.loss_dice: 0.6668, decode.d5.loss_cls: 0.1712, decode.d5.loss_mask: 0.4447, decode.d5.loss_dice: 0.6738, decode.d6.loss_cls: 0.1651, decode.d6.loss_mask: 0.4451, decode.d6.loss_dice: 0.6744, decode.d7.loss_cls: 0.1669, decode.d7.loss_mask: 0.4420, decode.d7.loss_dice: 0.6708, decode.d8.loss_cls: 0.1629, decode.d8.loss_mask: 0.4435, decode.d8.loss_dice: 0.6690, loss: 14.1512, grad_norm: 70.0673 2023-11-22 23:07:35,234 - mmseg - INFO - Iter [159050/160000] lr: 5.661e-08, eta: 0:09:16, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1522, decode.loss_mask: 0.4139, decode.loss_dice: 0.6558, decode.d0.loss_cls: 1.2475, decode.d0.loss_mask: 0.4451, decode.d0.loss_dice: 0.7168, decode.d1.loss_cls: 0.2335, decode.d1.loss_mask: 0.4312, decode.d1.loss_dice: 0.6879, decode.d2.loss_cls: 0.1830, decode.d2.loss_mask: 0.4228, decode.d2.loss_dice: 0.6716, decode.d3.loss_cls: 0.1726, decode.d3.loss_mask: 0.4193, decode.d3.loss_dice: 0.6565, decode.d4.loss_cls: 0.1661, decode.d4.loss_mask: 0.4172, decode.d4.loss_dice: 0.6606, decode.d5.loss_cls: 0.1616, decode.d5.loss_mask: 0.4149, decode.d5.loss_dice: 0.6584, decode.d6.loss_cls: 0.1573, decode.d6.loss_mask: 0.4143, decode.d6.loss_dice: 0.6539, decode.d7.loss_cls: 0.1539, decode.d7.loss_mask: 0.4131, decode.d7.loss_dice: 0.6522, decode.d8.loss_cls: 0.1558, decode.d8.loss_mask: 0.4135, decode.d8.loss_dice: 0.6555, loss: 13.6579, grad_norm: 67.6767 2023-11-22 23:08:03,351 - mmseg - INFO - Iter [159100/160000] lr: 5.364e-08, eta: 0:08:46, time: 0.562, data_time: 0.012, memory: 38143, decode.loss_cls: 0.1425, decode.loss_mask: 0.4373, decode.loss_dice: 0.6455, decode.d0.loss_cls: 1.2123, decode.d0.loss_mask: 0.4731, decode.d0.loss_dice: 0.7050, decode.d1.loss_cls: 0.2147, decode.d1.loss_mask: 0.4534, decode.d1.loss_dice: 0.6780, decode.d2.loss_cls: 0.1705, decode.d2.loss_mask: 0.4447, decode.d2.loss_dice: 0.6637, decode.d3.loss_cls: 0.1609, decode.d3.loss_mask: 0.4413, decode.d3.loss_dice: 0.6519, decode.d4.loss_cls: 0.1540, decode.d4.loss_mask: 0.4393, decode.d4.loss_dice: 0.6521, decode.d5.loss_cls: 0.1496, decode.d5.loss_mask: 0.4383, decode.d5.loss_dice: 0.6507, decode.d6.loss_cls: 0.1486, decode.d6.loss_mask: 0.4380, decode.d6.loss_dice: 0.6443, decode.d7.loss_cls: 0.1410, decode.d7.loss_mask: 0.4387, decode.d7.loss_dice: 0.6519, decode.d8.loss_cls: 0.1406, decode.d8.loss_mask: 0.4365, decode.d8.loss_dice: 0.6451, loss: 13.6635, grad_norm: 64.6040 2023-11-22 23:08:34,121 - mmseg - INFO - Iter [159150/160000] lr: 5.066e-08, eta: 0:08:17, time: 0.615, data_time: 0.059, memory: 38143, decode.loss_cls: 0.1471, decode.loss_mask: 0.4313, decode.loss_dice: 0.6360, decode.d0.loss_cls: 1.1985, decode.d0.loss_mask: 0.4678, decode.d0.loss_dice: 0.6999, decode.d1.loss_cls: 0.2122, decode.d1.loss_mask: 0.4483, decode.d1.loss_dice: 0.6646, decode.d2.loss_cls: 0.1778, decode.d2.loss_mask: 0.4382, decode.d2.loss_dice: 0.6512, decode.d3.loss_cls: 0.1632, decode.d3.loss_mask: 0.4331, decode.d3.loss_dice: 0.6399, decode.d4.loss_cls: 0.1556, decode.d4.loss_mask: 0.4336, decode.d4.loss_dice: 0.6409, decode.d5.loss_cls: 0.1494, decode.d5.loss_mask: 0.4344, decode.d5.loss_dice: 0.6395, decode.d6.loss_cls: 0.1474, decode.d6.loss_mask: 0.4316, decode.d6.loss_dice: 0.6373, decode.d7.loss_cls: 0.1500, decode.d7.loss_mask: 0.4316, decode.d7.loss_dice: 0.6388, decode.d8.loss_cls: 0.1413, decode.d8.loss_mask: 0.4306, decode.d8.loss_dice: 0.6349, loss: 13.5062, grad_norm: 66.1544 2023-11-22 23:09:02,463 - mmseg - INFO - Iter [159200/160000] lr: 4.768e-08, eta: 0:07:48, time: 0.567, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1444, decode.loss_mask: 0.4321, decode.loss_dice: 0.6358, decode.d0.loss_cls: 1.2012, decode.d0.loss_mask: 0.4646, decode.d0.loss_dice: 0.7003, decode.d1.loss_cls: 0.2151, decode.d1.loss_mask: 0.4473, decode.d1.loss_dice: 0.6650, decode.d2.loss_cls: 0.1779, decode.d2.loss_mask: 0.4403, decode.d2.loss_dice: 0.6536, decode.d3.loss_cls: 0.1654, decode.d3.loss_mask: 0.4353, decode.d3.loss_dice: 0.6378, decode.d4.loss_cls: 0.1587, decode.d4.loss_mask: 0.4329, decode.d4.loss_dice: 0.6425, decode.d5.loss_cls: 0.1526, decode.d5.loss_mask: 0.4345, decode.d5.loss_dice: 0.6429, decode.d6.loss_cls: 0.1471, decode.d6.loss_mask: 0.4321, decode.d6.loss_dice: 0.6387, decode.d7.loss_cls: 0.1504, decode.d7.loss_mask: 0.4320, decode.d7.loss_dice: 0.6389, decode.d8.loss_cls: 0.1457, decode.d8.loss_mask: 0.4322, decode.d8.loss_dice: 0.6405, loss: 13.5379, grad_norm: 61.6008 2023-11-22 23:09:30,817 - mmseg - INFO - Iter [159250/160000] lr: 4.471e-08, eta: 0:07:19, time: 0.567, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1444, decode.loss_mask: 0.4163, decode.loss_dice: 0.6321, decode.d0.loss_cls: 1.2391, decode.d0.loss_mask: 0.4500, decode.d0.loss_dice: 0.7065, decode.d1.loss_cls: 0.2287, decode.d1.loss_mask: 0.4298, decode.d1.loss_dice: 0.6692, decode.d2.loss_cls: 0.1828, decode.d2.loss_mask: 0.4239, decode.d2.loss_dice: 0.6493, decode.d3.loss_cls: 0.1598, decode.d3.loss_mask: 0.4205, decode.d3.loss_dice: 0.6430, decode.d4.loss_cls: 0.1564, decode.d4.loss_mask: 0.4185, decode.d4.loss_dice: 0.6372, decode.d5.loss_cls: 0.1540, decode.d5.loss_mask: 0.4174, decode.d5.loss_dice: 0.6363, decode.d6.loss_cls: 0.1479, decode.d6.loss_mask: 0.4169, decode.d6.loss_dice: 0.6356, decode.d7.loss_cls: 0.1485, decode.d7.loss_mask: 0.4165, decode.d7.loss_dice: 0.6349, decode.d8.loss_cls: 0.1466, decode.d8.loss_mask: 0.4164, decode.d8.loss_dice: 0.6309, loss: 13.4097, grad_norm: 66.2145 2023-11-22 23:09:59,306 - mmseg - INFO - Iter [159300/160000] lr: 4.173e-08, eta: 0:06:49, time: 0.570, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1432, decode.loss_mask: 0.4373, decode.loss_dice: 0.6394, decode.d0.loss_cls: 1.2205, decode.d0.loss_mask: 0.4726, decode.d0.loss_dice: 0.7059, decode.d1.loss_cls: 0.2242, decode.d1.loss_mask: 0.4521, decode.d1.loss_dice: 0.6770, decode.d2.loss_cls: 0.1743, decode.d2.loss_mask: 0.4458, decode.d2.loss_dice: 0.6617, decode.d3.loss_cls: 0.1595, decode.d3.loss_mask: 0.4422, decode.d3.loss_dice: 0.6499, decode.d4.loss_cls: 0.1568, decode.d4.loss_mask: 0.4421, decode.d4.loss_dice: 0.6492, decode.d5.loss_cls: 0.1562, decode.d5.loss_mask: 0.4401, decode.d5.loss_dice: 0.6495, decode.d6.loss_cls: 0.1515, decode.d6.loss_mask: 0.4381, decode.d6.loss_dice: 0.6428, decode.d7.loss_cls: 0.1450, decode.d7.loss_mask: 0.4392, decode.d7.loss_dice: 0.6462, decode.d8.loss_cls: 0.1425, decode.d8.loss_mask: 0.4382, decode.d8.loss_dice: 0.6444, loss: 13.6876, grad_norm: 65.0383 2023-11-22 23:10:27,544 - mmseg - INFO - Iter [159350/160000] lr: 3.875e-08, eta: 0:06:20, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1540, decode.loss_mask: 0.4359, decode.loss_dice: 0.6343, decode.d0.loss_cls: 1.2326, decode.d0.loss_mask: 0.4731, decode.d0.loss_dice: 0.7054, decode.d1.loss_cls: 0.2276, decode.d1.loss_mask: 0.4523, decode.d1.loss_dice: 0.6670, decode.d2.loss_cls: 0.1823, decode.d2.loss_mask: 0.4439, decode.d2.loss_dice: 0.6551, decode.d3.loss_cls: 0.1699, decode.d3.loss_mask: 0.4410, decode.d3.loss_dice: 0.6426, decode.d4.loss_cls: 0.1627, decode.d4.loss_mask: 0.4415, decode.d4.loss_dice: 0.6441, decode.d5.loss_cls: 0.1622, decode.d5.loss_mask: 0.4396, decode.d5.loss_dice: 0.6395, decode.d6.loss_cls: 0.1620, decode.d6.loss_mask: 0.4372, decode.d6.loss_dice: 0.6373, decode.d7.loss_cls: 0.1537, decode.d7.loss_mask: 0.4381, decode.d7.loss_dice: 0.6401, decode.d8.loss_cls: 0.1524, decode.d8.loss_mask: 0.4373, decode.d8.loss_dice: 0.6370, loss: 13.7019, grad_norm: 62.8599 2023-11-22 23:10:55,853 - mmseg - INFO - Iter [159400/160000] lr: 3.578e-08, eta: 0:05:51, time: 0.566, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1451, decode.loss_mask: 0.4324, decode.loss_dice: 0.6419, decode.d0.loss_cls: 1.2328, decode.d0.loss_mask: 0.4620, decode.d0.loss_dice: 0.7080, decode.d1.loss_cls: 0.2071, decode.d1.loss_mask: 0.4451, decode.d1.loss_dice: 0.6786, decode.d2.loss_cls: 0.1719, decode.d2.loss_mask: 0.4413, decode.d2.loss_dice: 0.6626, decode.d3.loss_cls: 0.1594, decode.d3.loss_mask: 0.4389, decode.d3.loss_dice: 0.6521, decode.d4.loss_cls: 0.1486, decode.d4.loss_mask: 0.4376, decode.d4.loss_dice: 0.6513, decode.d5.loss_cls: 0.1491, decode.d5.loss_mask: 0.4365, decode.d5.loss_dice: 0.6495, decode.d6.loss_cls: 0.1421, decode.d6.loss_mask: 0.4352, decode.d6.loss_dice: 0.6482, decode.d7.loss_cls: 0.1443, decode.d7.loss_mask: 0.4336, decode.d7.loss_dice: 0.6431, decode.d8.loss_cls: 0.1468, decode.d8.loss_mask: 0.4340, decode.d8.loss_dice: 0.6431, loss: 13.6220, grad_norm: 65.7132 2023-11-22 23:11:24,135 - mmseg - INFO - Iter [159450/160000] lr: 3.280e-08, eta: 0:05:22, time: 0.566, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1597, decode.loss_mask: 0.4313, decode.loss_dice: 0.6483, decode.d0.loss_cls: 1.2366, decode.d0.loss_mask: 0.4686, decode.d0.loss_dice: 0.7137, decode.d1.loss_cls: 0.2461, decode.d1.loss_mask: 0.4472, decode.d1.loss_dice: 0.6777, decode.d2.loss_cls: 0.1949, decode.d2.loss_mask: 0.4394, decode.d2.loss_dice: 0.6625, decode.d3.loss_cls: 0.1772, decode.d3.loss_mask: 0.4361, decode.d3.loss_dice: 0.6509, decode.d4.loss_cls: 0.1693, decode.d4.loss_mask: 0.4338, decode.d4.loss_dice: 0.6517, decode.d5.loss_cls: 0.1692, decode.d5.loss_mask: 0.4325, decode.d5.loss_dice: 0.6503, decode.d6.loss_cls: 0.1657, decode.d6.loss_mask: 0.4314, decode.d6.loss_dice: 0.6449, decode.d7.loss_cls: 0.1627, decode.d7.loss_mask: 0.4312, decode.d7.loss_dice: 0.6446, decode.d8.loss_cls: 0.1613, decode.d8.loss_mask: 0.4313, decode.d8.loss_dice: 0.6472, loss: 13.8172, grad_norm: 68.5555 2023-11-22 23:11:52,520 - mmseg - INFO - Iter [159500/160000] lr: 2.982e-08, eta: 0:04:52, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1382, decode.loss_mask: 0.4102, decode.loss_dice: 0.6277, decode.d0.loss_cls: 1.2338, decode.d0.loss_mask: 0.4411, decode.d0.loss_dice: 0.6893, decode.d1.loss_cls: 0.2216, decode.d1.loss_mask: 0.4240, decode.d1.loss_dice: 0.6577, decode.d2.loss_cls: 0.1805, decode.d2.loss_mask: 0.4166, decode.d2.loss_dice: 0.6479, decode.d3.loss_cls: 0.1578, decode.d3.loss_mask: 0.4144, decode.d3.loss_dice: 0.6335, decode.d4.loss_cls: 0.1519, decode.d4.loss_mask: 0.4138, decode.d4.loss_dice: 0.6352, decode.d5.loss_cls: 0.1469, decode.d5.loss_mask: 0.4119, decode.d5.loss_dice: 0.6306, decode.d6.loss_cls: 0.1438, decode.d6.loss_mask: 0.4114, decode.d6.loss_dice: 0.6289, decode.d7.loss_cls: 0.1400, decode.d7.loss_mask: 0.4099, decode.d7.loss_dice: 0.6264, decode.d8.loss_cls: 0.1378, decode.d8.loss_mask: 0.4097, decode.d8.loss_dice: 0.6286, loss: 13.2211, grad_norm: 58.2714 2023-11-22 23:12:20,990 - mmseg - INFO - Iter [159550/160000] lr: 2.685e-08, eta: 0:04:23, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1523, decode.loss_mask: 0.4131, decode.loss_dice: 0.6230, decode.d0.loss_cls: 1.2546, decode.d0.loss_mask: 0.4449, decode.d0.loss_dice: 0.6858, decode.d1.loss_cls: 0.2235, decode.d1.loss_mask: 0.4280, decode.d1.loss_dice: 0.6564, decode.d2.loss_cls: 0.1827, decode.d2.loss_mask: 0.4236, decode.d2.loss_dice: 0.6435, decode.d3.loss_cls: 0.1659, decode.d3.loss_mask: 0.4189, decode.d3.loss_dice: 0.6316, decode.d4.loss_cls: 0.1660, decode.d4.loss_mask: 0.4165, decode.d4.loss_dice: 0.6300, decode.d5.loss_cls: 0.1552, decode.d5.loss_mask: 0.4164, decode.d5.loss_dice: 0.6306, decode.d6.loss_cls: 0.1531, decode.d6.loss_mask: 0.4151, decode.d6.loss_dice: 0.6283, decode.d7.loss_cls: 0.1520, decode.d7.loss_mask: 0.4148, decode.d7.loss_dice: 0.6244, decode.d8.loss_cls: 0.1495, decode.d8.loss_mask: 0.4134, decode.d8.loss_dice: 0.6249, loss: 13.3381, grad_norm: 63.7238 2023-11-22 23:12:49,551 - mmseg - INFO - Iter [159600/160000] lr: 2.387e-08, eta: 0:03:54, time: 0.573, data_time: 0.015, memory: 38143, decode.loss_cls: 0.1548, decode.loss_mask: 0.4166, decode.loss_dice: 0.6487, decode.d0.loss_cls: 1.2338, decode.d0.loss_mask: 0.4517, decode.d0.loss_dice: 0.7258, decode.d1.loss_cls: 0.2223, decode.d1.loss_mask: 0.4313, decode.d1.loss_dice: 0.6844, decode.d2.loss_cls: 0.1866, decode.d2.loss_mask: 0.4248, decode.d2.loss_dice: 0.6683, decode.d3.loss_cls: 0.1724, decode.d3.loss_mask: 0.4178, decode.d3.loss_dice: 0.6583, decode.d4.loss_cls: 0.1693, decode.d4.loss_mask: 0.4160, decode.d4.loss_dice: 0.6542, decode.d5.loss_cls: 0.1613, decode.d5.loss_mask: 0.4167, decode.d5.loss_dice: 0.6550, decode.d6.loss_cls: 0.1590, decode.d6.loss_mask: 0.4158, decode.d6.loss_dice: 0.6502, decode.d7.loss_cls: 0.1567, decode.d7.loss_mask: 0.4173, decode.d7.loss_dice: 0.6552, decode.d8.loss_cls: 0.1569, decode.d8.loss_mask: 0.4159, decode.d8.loss_dice: 0.6521, loss: 13.6492, grad_norm: 64.5899 2023-11-22 23:13:17,942 - mmseg - INFO - Iter [159650/160000] lr: 2.090e-08, eta: 0:03:24, time: 0.568, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1375, decode.loss_mask: 0.4134, decode.loss_dice: 0.6314, decode.d0.loss_cls: 1.2487, decode.d0.loss_mask: 0.4487, decode.d0.loss_dice: 0.7007, decode.d1.loss_cls: 0.2181, decode.d1.loss_mask: 0.4289, decode.d1.loss_dice: 0.6685, decode.d2.loss_cls: 0.1763, decode.d2.loss_mask: 0.4197, decode.d2.loss_dice: 0.6499, decode.d3.loss_cls: 0.1587, decode.d3.loss_mask: 0.4165, decode.d3.loss_dice: 0.6409, decode.d4.loss_cls: 0.1533, decode.d4.loss_mask: 0.4148, decode.d4.loss_dice: 0.6421, decode.d5.loss_cls: 0.1460, decode.d5.loss_mask: 0.4145, decode.d5.loss_dice: 0.6374, decode.d6.loss_cls: 0.1404, decode.d6.loss_mask: 0.4148, decode.d6.loss_dice: 0.6359, decode.d7.loss_cls: 0.1394, decode.d7.loss_mask: 0.4134, decode.d7.loss_dice: 0.6350, decode.d8.loss_cls: 0.1377, decode.d8.loss_mask: 0.4131, decode.d8.loss_dice: 0.6335, loss: 13.3293, grad_norm: 64.5179 2023-11-22 23:13:46,183 - mmseg - INFO - Iter [159700/160000] lr: 1.792e-08, eta: 0:02:55, time: 0.565, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1424, decode.loss_mask: 0.4147, decode.loss_dice: 0.6215, decode.d0.loss_cls: 1.1959, decode.d0.loss_mask: 0.4446, decode.d0.loss_dice: 0.6823, decode.d1.loss_cls: 0.2010, decode.d1.loss_mask: 0.4299, decode.d1.loss_dice: 0.6560, decode.d2.loss_cls: 0.1671, decode.d2.loss_mask: 0.4235, decode.d2.loss_dice: 0.6373, decode.d3.loss_cls: 0.1553, decode.d3.loss_mask: 0.4201, decode.d3.loss_dice: 0.6310, decode.d4.loss_cls: 0.1513, decode.d4.loss_mask: 0.4180, decode.d4.loss_dice: 0.6289, decode.d5.loss_cls: 0.1521, decode.d5.loss_mask: 0.4169, decode.d5.loss_dice: 0.6239, decode.d6.loss_cls: 0.1449, decode.d6.loss_mask: 0.4170, decode.d6.loss_dice: 0.6191, decode.d7.loss_cls: 0.1419, decode.d7.loss_mask: 0.4148, decode.d7.loss_dice: 0.6201, decode.d8.loss_cls: 0.1416, decode.d8.loss_mask: 0.4154, decode.d8.loss_dice: 0.6207, loss: 13.1492, grad_norm: 62.5785 2023-11-22 23:14:14,444 - mmseg - INFO - Iter [159750/160000] lr: 1.494e-08, eta: 0:02:26, time: 0.565, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1590, decode.loss_mask: 0.4199, decode.loss_dice: 0.6446, decode.d0.loss_cls: 1.2581, decode.d0.loss_mask: 0.4515, decode.d0.loss_dice: 0.7209, decode.d1.loss_cls: 0.2290, decode.d1.loss_mask: 0.4366, decode.d1.loss_dice: 0.6826, decode.d2.loss_cls: 0.1866, decode.d2.loss_mask: 0.4286, decode.d2.loss_dice: 0.6658, decode.d3.loss_cls: 0.1715, decode.d3.loss_mask: 0.4240, decode.d3.loss_dice: 0.6537, decode.d4.loss_cls: 0.1635, decode.d4.loss_mask: 0.4232, decode.d4.loss_dice: 0.6532, decode.d5.loss_cls: 0.1614, decode.d5.loss_mask: 0.4244, decode.d5.loss_dice: 0.6529, decode.d6.loss_cls: 0.1605, decode.d6.loss_mask: 0.4217, decode.d6.loss_dice: 0.6486, decode.d7.loss_cls: 0.1550, decode.d7.loss_mask: 0.4210, decode.d7.loss_dice: 0.6463, decode.d8.loss_cls: 0.1553, decode.d8.loss_mask: 0.4215, decode.d8.loss_dice: 0.6489, loss: 13.6898, grad_norm: 69.5675 2023-11-22 23:14:42,849 - mmseg - INFO - Iter [159800/160000] lr: 1.197e-08, eta: 0:01:57, time: 0.568, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1591, decode.loss_mask: 0.4280, decode.loss_dice: 0.6439, decode.d0.loss_cls: 1.2667, decode.d0.loss_mask: 0.4608, decode.d0.loss_dice: 0.7159, decode.d1.loss_cls: 0.2374, decode.d1.loss_mask: 0.4406, decode.d1.loss_dice: 0.6758, decode.d2.loss_cls: 0.1964, decode.d2.loss_mask: 0.4346, decode.d2.loss_dice: 0.6593, decode.d3.loss_cls: 0.1778, decode.d3.loss_mask: 0.4301, decode.d3.loss_dice: 0.6459, decode.d4.loss_cls: 0.1697, decode.d4.loss_mask: 0.4303, decode.d4.loss_dice: 0.6466, decode.d5.loss_cls: 0.1718, decode.d5.loss_mask: 0.4286, decode.d5.loss_dice: 0.6431, decode.d6.loss_cls: 0.1617, decode.d6.loss_mask: 0.4270, decode.d6.loss_dice: 0.6450, decode.d7.loss_cls: 0.1568, decode.d7.loss_mask: 0.4275, decode.d7.loss_dice: 0.6456, decode.d8.loss_cls: 0.1575, decode.d8.loss_mask: 0.4279, decode.d8.loss_dice: 0.6464, loss: 13.7576, grad_norm: 65.2104 2023-11-22 23:15:11,434 - mmseg - INFO - Iter [159850/160000] lr: 8.989e-09, eta: 0:01:27, time: 0.572, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1537, decode.loss_mask: 0.4149, decode.loss_dice: 0.6346, decode.d0.loss_cls: 1.2344, decode.d0.loss_mask: 0.4456, decode.d0.loss_dice: 0.7047, decode.d1.loss_cls: 0.2181, decode.d1.loss_mask: 0.4291, decode.d1.loss_dice: 0.6616, decode.d2.loss_cls: 0.1815, decode.d2.loss_mask: 0.4226, decode.d2.loss_dice: 0.6533, decode.d3.loss_cls: 0.1683, decode.d3.loss_mask: 0.4179, decode.d3.loss_dice: 0.6424, decode.d4.loss_cls: 0.1591, decode.d4.loss_mask: 0.4175, decode.d4.loss_dice: 0.6416, decode.d5.loss_cls: 0.1570, decode.d5.loss_mask: 0.4171, decode.d5.loss_dice: 0.6384, decode.d6.loss_cls: 0.1558, decode.d6.loss_mask: 0.4164, decode.d6.loss_dice: 0.6352, decode.d7.loss_cls: 0.1566, decode.d7.loss_mask: 0.4150, decode.d7.loss_dice: 0.6329, decode.d8.loss_cls: 0.1523, decode.d8.loss_mask: 0.4153, decode.d8.loss_dice: 0.6365, loss: 13.4295, grad_norm: 62.0441 2023-11-22 23:15:39,989 - mmseg - INFO - Iter [159900/160000] lr: 6.013e-09, eta: 0:00:58, time: 0.571, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1563, decode.loss_mask: 0.4208, decode.loss_dice: 0.6604, decode.d0.loss_cls: 1.2495, decode.d0.loss_mask: 0.4531, decode.d0.loss_dice: 0.7232, decode.d1.loss_cls: 0.2343, decode.d1.loss_mask: 0.4329, decode.d1.loss_dice: 0.6916, decode.d2.loss_cls: 0.1891, decode.d2.loss_mask: 0.4279, decode.d2.loss_dice: 0.6780, decode.d3.loss_cls: 0.1737, decode.d3.loss_mask: 0.4258, decode.d3.loss_dice: 0.6709, decode.d4.loss_cls: 0.1669, decode.d4.loss_mask: 0.4261, decode.d4.loss_dice: 0.6706, decode.d5.loss_cls: 0.1673, decode.d5.loss_mask: 0.4227, decode.d5.loss_dice: 0.6634, decode.d6.loss_cls: 0.1633, decode.d6.loss_mask: 0.4224, decode.d6.loss_dice: 0.6628, decode.d7.loss_cls: 0.1609, decode.d7.loss_mask: 0.4209, decode.d7.loss_dice: 0.6621, decode.d8.loss_cls: 0.1585, decode.d8.loss_mask: 0.4210, decode.d8.loss_dice: 0.6621, loss: 13.8389, grad_norm: 63.5424 2023-11-22 23:16:08,445 - mmseg - INFO - Iter [159950/160000] lr: 3.036e-09, eta: 0:00:29, time: 0.569, data_time: 0.014, memory: 38143, decode.loss_cls: 0.1503, decode.loss_mask: 0.4212, decode.loss_dice: 0.6293, decode.d0.loss_cls: 1.2353, decode.d0.loss_mask: 0.4546, decode.d0.loss_dice: 0.6985, decode.d1.loss_cls: 0.2409, decode.d1.loss_mask: 0.4336, decode.d1.loss_dice: 0.6605, decode.d2.loss_cls: 0.1956, decode.d2.loss_mask: 0.4293, decode.d2.loss_dice: 0.6436, decode.d3.loss_cls: 0.1712, decode.d3.loss_mask: 0.4257, decode.d3.loss_dice: 0.6355, decode.d4.loss_cls: 0.1684, decode.d4.loss_mask: 0.4239, decode.d4.loss_dice: 0.6303, decode.d5.loss_cls: 0.1614, decode.d5.loss_mask: 0.4229, decode.d5.loss_dice: 0.6328, decode.d6.loss_cls: 0.1570, decode.d6.loss_mask: 0.4214, decode.d6.loss_dice: 0.6274, decode.d7.loss_cls: 0.1554, decode.d7.loss_mask: 0.4222, decode.d7.loss_dice: 0.6280, decode.d8.loss_cls: 0.1543, decode.d8.loss_mask: 0.4217, decode.d8.loss_dice: 0.6266, loss: 13.4788, grad_norm: 65.7493 2023-11-22 23:16:36,792 - mmseg - INFO - Saving checkpoint at 160000 iterations 2023-11-22 23:16:44,567 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 23:16:44,567 - mmseg - INFO - Iter [160000/160000] lr: 5.953e-11, eta: 0:00:00, time: 0.722, data_time: 0.013, memory: 38143, decode.loss_cls: 0.1592, decode.loss_mask: 0.4317, decode.loss_dice: 0.6525, decode.d0.loss_cls: 1.2083, decode.d0.loss_mask: 0.4635, decode.d0.loss_dice: 0.7200, decode.d1.loss_cls: 0.2308, decode.d1.loss_mask: 0.4449, decode.d1.loss_dice: 0.6814, decode.d2.loss_cls: 0.1888, decode.d2.loss_mask: 0.4386, decode.d2.loss_dice: 0.6713, decode.d3.loss_cls: 0.1750, decode.d3.loss_mask: 0.4341, decode.d3.loss_dice: 0.6565, decode.d4.loss_cls: 0.1714, decode.d4.loss_mask: 0.4330, decode.d4.loss_dice: 0.6541, decode.d5.loss_cls: 0.1644, decode.d5.loss_mask: 0.4316, decode.d5.loss_dice: 0.6560, decode.d6.loss_cls: 0.1644, decode.d6.loss_mask: 0.4324, decode.d6.loss_dice: 0.6536, decode.d7.loss_cls: 0.1556, decode.d7.loss_mask: 0.4324, decode.d7.loss_dice: 0.6513, decode.d8.loss_cls: 0.1601, decode.d8.loss_mask: 0.4306, decode.d8.loss_dice: 0.6520, loss: 13.7997, grad_norm: 60.1942 2023-11-22 23:17:04,110 - mmseg - INFO - per class results: 2023-11-22 23:17:04,115 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.36 | 88.48 | | building | 83.71 | 91.33 | | sky | 95.04 | 97.79 | | floor | 84.11 | 91.27 | | tree | 76.12 | 88.27 | | ceiling | 86.0 | 92.73 | | road | 86.72 | 92.64 | | bed | 91.68 | 95.93 | | windowpane | 65.34 | 81.83 | | grass | 68.97 | 81.18 | | cabinet | 63.0 | 74.48 | | sidewalk | 66.93 | 78.08 | | person | 86.33 | 93.95 | | earth | 38.99 | 54.55 | | door | 54.88 | 70.79 | | table | 70.69 | 83.81 | | mountain | 58.9 | 75.22 | | plant | 55.17 | 66.78 | | curtain | 74.05 | 86.94 | | chair | 65.26 | 77.26 | | car | 87.57 | 93.79 | | water | 53.04 | 64.82 | | painting | 76.75 | 90.94 | | sofa | 77.6 | 88.88 | | shelf | 41.95 | 55.79 | | house | 43.39 | 70.35 | | sea | 56.94 | 84.31 | | mirror | 74.78 | 84.01 | | rug | 67.64 | 81.08 | | field | 35.43 | 58.94 | | armchair | 55.22 | 74.72 | | seat | 65.18 | 86.44 | | fence | 56.63 | 71.68 | | desk | 58.43 | 79.56 | | rock | 51.21 | 69.08 | | wardrobe | 44.7 | 70.03 | | lamp | 73.6 | 82.84 | | bathtub | 79.84 | 86.42 | | railing | 37.62 | 54.2 | | cushion | 67.19 | 76.67 | | base | 45.39 | 69.26 | | box | 34.04 | 44.61 | | column | 52.59 | 69.95 | | signboard | 41.07 | 58.56 | | chest of drawers | 36.12 | 59.73 | | counter | 48.99 | 58.93 | | sand | 36.8 | 51.91 | | sink | 80.26 | 85.16 | | skyscraper | 60.72 | 77.25 | | fireplace | 72.83 | 90.43 | | refrigerator | 77.01 | 83.59 | | grandstand | 45.74 | 76.66 | | path | 22.21 | 42.8 | | stairs | 35.81 | 41.81 | | runway | 71.52 | 92.66 | | case | 52.65 | 75.62 | | pool table | 95.34 | 97.76 | | pillow | 66.0 | 78.49 | | screen door | 76.6 | 84.75 | | stairway | 37.37 | 52.64 | | river | 9.9 | 21.13 | | bridge | 78.67 | 90.57 | | bookcase | 29.98 | 49.2 | | blind | 44.64 | 51.42 | | coffee table | 73.2 | 86.16 | | toilet | 91.6 | 93.94 | | flower | 42.71 | 64.83 | | book | 53.55 | 77.61 | | hill | 9.32 | 16.41 | | bench | 64.92 | 74.13 | | countertop | 62.52 | 80.81 | | stove | 87.2 | 90.21 | | palm | 53.92 | 81.23 | | kitchen island | 59.49 | 89.8 | | computer | 72.87 | 81.68 | | swivel chair | 46.53 | 64.19 | | boat | 37.72 | 56.64 | | bar | 65.63 | 72.85 | | arcade machine | 73.99 | 78.48 | | hovel | 68.64 | 75.6 | | bus | 84.8 | 97.31 | | towel | 77.67 | 89.54 | | light | 66.25 | 79.31 | | truck | 22.41 | 27.2 | | tower | 24.42 | 41.14 | | chandelier | 72.03 | 88.85 | | awning | 39.7 | 52.81 | | streetlight | 47.25 | 65.07 | | booth | 52.8 | 69.72 | | television receiver | 78.81 | 88.17 | | airplane | 58.96 | 75.3 | | dirt track | 10.86 | 15.55 | | apparel | 50.83 | 68.03 | | pole | 38.24 | 59.05 | | land | 3.09 | 6.53 | | bannister | 19.84 | 29.44 | | escalator | 63.95 | 80.04 | | ottoman | 58.45 | 77.08 | | bottle | 37.79 | 64.07 | | buffet | 49.15 | 66.04 | | poster | 28.42 | 44.04 | | stage | 26.07 | 47.71 | | van | 44.56 | 67.23 | | ship | 8.9 | 13.9 | | fountain | 21.53 | 21.9 | | conveyer belt | 75.48 | 95.5 | | canopy | 27.17 | 52.81 | | washer | 69.7 | 73.01 | | plaything | 43.79 | 59.16 | | swimming pool | 66.29 | 72.13 | | stool | 52.01 | 76.74 | | barrel | 58.21 | 98.0 | | basket | 43.49 | 56.26 | | waterfall | 76.89 | 87.86 | | tent | 89.79 | 98.31 | | bag | 22.85 | 32.35 | | minibike | 71.24 | 90.56 | | cradle | 90.75 | 97.46 | | oven | 28.28 | 70.44 | | ball | 60.75 | 68.9 | | food | 57.2 | 67.14 | | step | 25.48 | 33.75 | | tank | 63.46 | 66.17 | | trade name | 29.32 | 34.89 | | microwave | 52.25 | 57.51 | | pot | 55.07 | 66.41 | | animal | 57.02 | 58.31 | | bicycle | 62.79 | 81.09 | | lake | 55.59 | 63.64 | | dishwasher | 73.77 | 78.93 | | screen | 58.01 | 91.84 | | blanket | 42.47 | 53.4 | | sculpture | 74.23 | 89.01 | | hood | 73.71 | 78.27 | | sconce | 62.3 | 76.06 | | vase | 57.14 | 74.11 | | traffic light | 49.13 | 72.73 | | tray | 20.57 | 31.65 | | ashcan | 51.89 | 74.28 | | fan | 71.82 | 85.33 | | pier | 14.22 | 14.98 | | crt screen | 2.29 | 7.03 | | plate | 64.53 | 82.79 | | monitor | 8.86 | 11.71 | | bulletin board | 59.16 | 80.58 | | shower | 13.17 | 25.35 | | radiator | 69.2 | 84.36 | | glass | 23.96 | 26.24 | | clock | 57.38 | 69.15 | | flag | 74.22 | 83.36 | +---------------------+-------+-------+ 2023-11-22 23:17:04,115 - mmseg - INFO - Summary: 2023-11-22 23:17:04,116 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.01 | 55.45 | 69.08 | +-------+-------+-------+ 2023-11-22 23:17:04,116 - mmseg - INFO - Exp name: mask2former_flash_internimage_l_640_160k_ade20k_ss.py 2023-11-22 23:17:04,117 - mmseg - INFO - Iter(val) [250] aAcc: 0.8501, mIoU: 0.5545, mAcc: 0.6908, IoU.wall: 0.8136, IoU.building: 0.8371, IoU.sky: 0.9504, IoU.floor: 0.8411, IoU.tree: 0.7612, IoU.ceiling: 0.8600, IoU.road: 0.8672, IoU.bed : 0.9168, IoU.windowpane: 0.6534, IoU.grass: 0.6897, IoU.cabinet: 0.6300, IoU.sidewalk: 0.6693, IoU.person: 0.8633, IoU.earth: 0.3899, IoU.door: 0.5488, IoU.table: 0.7069, IoU.mountain: 0.5890, IoU.plant: 0.5517, IoU.curtain: 0.7405, IoU.chair: 0.6526, IoU.car: 0.8757, IoU.water: 0.5304, IoU.painting: 0.7675, IoU.sofa: 0.7760, IoU.shelf: 0.4195, IoU.house: 0.4339, IoU.sea: 0.5694, IoU.mirror: 0.7478, IoU.rug: 0.6764, IoU.field: 0.3543, IoU.armchair: 0.5522, IoU.seat: 0.6518, IoU.fence: 0.5663, IoU.desk: 0.5843, IoU.rock: 0.5121, IoU.wardrobe: 0.4470, IoU.lamp: 0.7360, IoU.bathtub: 0.7984, IoU.railing: 0.3762, IoU.cushion: 0.6719, IoU.base: 0.4539, IoU.box: 0.3404, IoU.column: 0.5259, IoU.signboard: 0.4107, IoU.chest of drawers: 0.3612, IoU.counter: 0.4899, IoU.sand: 0.3680, IoU.sink: 0.8026, IoU.skyscraper: 0.6072, IoU.fireplace: 0.7283, IoU.refrigerator: 0.7701, IoU.grandstand: 0.4574, IoU.path: 0.2221, IoU.stairs: 0.3581, IoU.runway: 0.7152, IoU.case: 0.5265, IoU.pool table: 0.9534, IoU.pillow: 0.6600, IoU.screen door: 0.7660, IoU.stairway: 0.3737, IoU.river: 0.0990, IoU.bridge: 0.7867, IoU.bookcase: 0.2998, IoU.blind: 0.4464, IoU.coffee table: 0.7320, IoU.toilet: 0.9160, IoU.flower: 0.4271, IoU.book: 0.5355, IoU.hill: 0.0932, IoU.bench: 0.6492, IoU.countertop: 0.6252, IoU.stove: 0.8720, IoU.palm: 0.5392, IoU.kitchen island: 0.5949, IoU.computer: 0.7287, IoU.swivel chair: 0.4653, IoU.boat: 0.3772, IoU.bar: 0.6563, IoU.arcade machine: 0.7399, IoU.hovel: 0.6864, IoU.bus: 0.8480, IoU.towel: 0.7767, IoU.light: 0.6625, IoU.truck: 0.2241, IoU.tower: 0.2442, IoU.chandelier: 0.7203, IoU.awning: 0.3970, IoU.streetlight: 0.4725, IoU.booth: 0.5280, IoU.television receiver: 0.7881, IoU.airplane: 0.5896, IoU.dirt track: 0.1086, IoU.apparel: 0.5083, IoU.pole: 0.3824, IoU.land: 0.0309, IoU.bannister: 0.1984, IoU.escalator: 0.6395, IoU.ottoman: 0.5845, IoU.bottle: 0.3779, IoU.buffet: 0.4915, IoU.poster: 0.2842, IoU.stage: 0.2607, IoU.van: 0.4456, IoU.ship: 0.0890, IoU.fountain: 0.2153, IoU.conveyer belt: 0.7548, IoU.canopy: 0.2717, IoU.washer: 0.6970, IoU.plaything: 0.4379, IoU.swimming pool: 0.6629, IoU.stool: 0.5201, IoU.barrel: 0.5821, IoU.basket: 0.4349, IoU.waterfall: 0.7689, IoU.tent: 0.8979, IoU.bag: 0.2285, IoU.minibike: 0.7124, IoU.cradle: 0.9075, IoU.oven: 0.2828, IoU.ball: 0.6075, IoU.food: 0.5720, IoU.step: 0.2548, IoU.tank: 0.6346, IoU.trade name: 0.2932, IoU.microwave: 0.5225, IoU.pot: 0.5507, IoU.animal: 0.5702, IoU.bicycle: 0.6279, IoU.lake: 0.5559, IoU.dishwasher: 0.7377, IoU.screen: 0.5801, IoU.blanket: 0.4247, IoU.sculpture: 0.7423, IoU.hood: 0.7371, IoU.sconce: 0.6230, IoU.vase: 0.5714, IoU.traffic light: 0.4913, IoU.tray: 0.2057, IoU.ashcan: 0.5189, IoU.fan: 0.7182, IoU.pier: 0.1422, IoU.crt screen: 0.0229, IoU.plate: 0.6453, IoU.monitor: 0.0886, IoU.bulletin board: 0.5916, IoU.shower: 0.1317, IoU.radiator: 0.6920, IoU.glass: 0.2396, IoU.clock: 0.5738, IoU.flag: 0.7422, Acc.wall: 0.8848, Acc.building: 0.9133, Acc.sky: 0.9779, Acc.floor: 0.9127, Acc.tree: 0.8827, Acc.ceiling: 0.9273, Acc.road: 0.9264, Acc.bed : 0.9593, Acc.windowpane: 0.8183, Acc.grass: 0.8118, Acc.cabinet: 0.7448, Acc.sidewalk: 0.7808, Acc.person: 0.9395, Acc.earth: 0.5455, Acc.door: 0.7079, Acc.table: 0.8381, Acc.mountain: 0.7522, Acc.plant: 0.6678, Acc.curtain: 0.8694, Acc.chair: 0.7726, Acc.car: 0.9379, Acc.water: 0.6482, Acc.painting: 0.9094, Acc.sofa: 0.8888, Acc.shelf: 0.5579, Acc.house: 0.7035, Acc.sea: 0.8431, Acc.mirror: 0.8401, Acc.rug: 0.8108, Acc.field: 0.5894, Acc.armchair: 0.7472, Acc.seat: 0.8644, Acc.fence: 0.7168, Acc.desk: 0.7956, Acc.rock: 0.6908, Acc.wardrobe: 0.7003, Acc.lamp: 0.8284, Acc.bathtub: 0.8642, Acc.railing: 0.5420, Acc.cushion: 0.7667, Acc.base: 0.6926, Acc.box: 0.4461, Acc.column: 0.6995, Acc.signboard: 0.5856, Acc.chest of drawers: 0.5973, Acc.counter: 0.5893, Acc.sand: 0.5191, Acc.sink: 0.8516, Acc.skyscraper: 0.7725, Acc.fireplace: 0.9043, Acc.refrigerator: 0.8359, Acc.grandstand: 0.7666, Acc.path: 0.4280, Acc.stairs: 0.4181, Acc.runway: 0.9266, Acc.case: 0.7562, Acc.pool table: 0.9776, Acc.pillow: 0.7849, Acc.screen door: 0.8475, Acc.stairway: 0.5264, Acc.river: 0.2113, Acc.bridge: 0.9057, Acc.bookcase: 0.4920, Acc.blind: 0.5142, Acc.coffee table: 0.8616, Acc.toilet: 0.9394, Acc.flower: 0.6483, Acc.book: 0.7761, Acc.hill: 0.1641, Acc.bench: 0.7413, Acc.countertop: 0.8081, Acc.stove: 0.9021, Acc.palm: 0.8123, Acc.kitchen island: 0.8980, Acc.computer: 0.8168, Acc.swivel chair: 0.6419, Acc.boat: 0.5664, Acc.bar: 0.7285, Acc.arcade machine: 0.7848, Acc.hovel: 0.7560, Acc.bus: 0.9731, Acc.towel: 0.8954, Acc.light: 0.7931, Acc.truck: 0.2720, Acc.tower: 0.4114, Acc.chandelier: 0.8885, Acc.awning: 0.5281, Acc.streetlight: 0.6507, Acc.booth: 0.6972, Acc.television receiver: 0.8817, Acc.airplane: 0.7530, Acc.dirt track: 0.1555, Acc.apparel: 0.6803, Acc.pole: 0.5905, Acc.land: 0.0653, Acc.bannister: 0.2944, Acc.escalator: 0.8004, Acc.ottoman: 0.7708, Acc.bottle: 0.6407, Acc.buffet: 0.6604, Acc.poster: 0.4404, Acc.stage: 0.4771, Acc.van: 0.6723, Acc.ship: 0.1390, Acc.fountain: 0.2190, Acc.conveyer belt: 0.9550, Acc.canopy: 0.5281, Acc.washer: 0.7301, Acc.plaything: 0.5916, Acc.swimming pool: 0.7213, Acc.stool: 0.7674, Acc.barrel: 0.9800, Acc.basket: 0.5626, Acc.waterfall: 0.8786, Acc.tent: 0.9831, Acc.bag: 0.3235, Acc.minibike: 0.9056, Acc.cradle: 0.9746, Acc.oven: 0.7044, Acc.ball: 0.6890, Acc.food: 0.6714, Acc.step: 0.3375, Acc.tank: 0.6617, Acc.trade name: 0.3489, Acc.microwave: 0.5751, Acc.pot: 0.6641, Acc.animal: 0.5831, Acc.bicycle: 0.8109, Acc.lake: 0.6364, Acc.dishwasher: 0.7893, Acc.screen: 0.9184, Acc.blanket: 0.5340, Acc.sculpture: 0.8901, Acc.hood: 0.7827, Acc.sconce: 0.7606, Acc.vase: 0.7411, Acc.traffic light: 0.7273, Acc.tray: 0.3165, Acc.ashcan: 0.7428, Acc.fan: 0.8533, Acc.pier: 0.1498, Acc.crt screen: 0.0703, Acc.plate: 0.8279, Acc.monitor: 0.1171, Acc.bulletin board: 0.8058, Acc.shower: 0.2535, Acc.radiator: 0.8436, Acc.glass: 0.2624, Acc.clock: 0.6915, Acc.flag: 0.8336